From ed6fce546190422af6dda84bce396bb7182fbbb3 Mon Sep 17 00:00:00 2001 From: fkuehlein Date: Fri, 5 Jan 2024 12:12:55 +0100 Subject: [PATCH 01/15] MAINT: merge and clean up `examples`/`notebooks` - delete old tutorials in `examples/tutorials` - move new tutorials from `notebooks` to `examples/tutorials` - reorder image and data files in `examples/tutorials` - update to tqdm progressbar in `RecurrenceNetwork.ipynb` - avoid #210 in `ClimateNetworks.ipynb` - clean up some typos and latex sequences in all tutorials - largely resolves #185 --- .../tutorials/ClimateNetworks.ipynb | 86 +- ...ventSynchronisation_EventCoincidence.ipynb | 24 +- .../tutorials/RecurrenceNetworks.ipynb | 112 +-- examples/tutorials/VisibilityGraphs.ipynb | 768 ++++++++++++++++++ examples/tutorials/climate_network.ipynb | 241 ------ examples/tutorials/climate_network.py | 183 ----- .../climate_network_cartopy_plotting.py | 177 ---- .../tutorials/data}/air.mon.mean.nc | Bin .../tutorials/images}/Characteristics_rP.png | Bin .../img => examples/tutorials/images}/ECA.png | Bin .../images}/EventSynchronisation.png | Bin .../tutorials}/images/HVG.PNG | Bin .../tutorials/images}/REcurrencePlot_v2.png | Bin .../tutorials}/images/SimpleVG.PNG | Bin examples/tutorials/recurrence_network.ipynb | 228 ------ examples/tutorials/recurrence_network.py | 142 ---- notebooks/tutorial_VisibilityGraphs.ipynb | 768 ------------------ 17 files changed, 857 insertions(+), 1872 deletions(-) rename notebooks/tutorial_ClimateNetworks.ipynb => examples/tutorials/ClimateNetworks.ipynb (88%) rename notebooks/tutorial_EventSynchronisation_EventCoincidence.ipynb => examples/tutorials/EventSynchronisation_EventCoincidence.ipynb (91%) rename notebooks/tutorial_recurrenceNetwork.ipynb => examples/tutorials/RecurrenceNetworks.ipynb (68%) create mode 100644 examples/tutorials/VisibilityGraphs.ipynb delete mode 100644 examples/tutorials/climate_network.ipynb delete mode 100644 examples/tutorials/climate_network.py delete mode 100644 examples/tutorials/climate_network_cartopy_plotting.py rename {notebooks => examples/tutorials/data}/air.mon.mean.nc (100%) rename {notebooks/img => examples/tutorials/images}/Characteristics_rP.png (100%) rename {notebooks/img => examples/tutorials/images}/ECA.png (100%) rename {notebooks/img => examples/tutorials/images}/EventSynchronisation.png (100%) rename {notebooks => examples/tutorials}/images/HVG.PNG (100%) rename {notebooks/img => examples/tutorials/images}/REcurrencePlot_v2.png (100%) rename {notebooks => examples/tutorials}/images/SimpleVG.PNG (100%) delete mode 100644 examples/tutorials/recurrence_network.ipynb delete mode 100644 examples/tutorials/recurrence_network.py delete mode 100644 notebooks/tutorial_VisibilityGraphs.ipynb diff --git a/notebooks/tutorial_ClimateNetworks.ipynb b/examples/tutorials/ClimateNetworks.ipynb similarity index 88% rename from notebooks/tutorial_ClimateNetworks.ipynb rename to examples/tutorials/ClimateNetworks.ipynb index 2174ef44..41eb1439 100644 --- a/notebooks/tutorial_ClimateNetworks.ipynb +++ b/examples/tutorials/ClimateNetworks.ipynb @@ -112,12 +112,12 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 10, "id": "35c8e273", "metadata": {}, "outputs": [], "source": [ - "DATA_FILENAME = \"./air.mon.mean.nc\"" + "DATA_FILENAME = \"./data/air.mon.mean.nc\"" ] }, { @@ -130,10 +130,18 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 2, "id": "e793f1a2", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "climate: Package Ngl could not be loaded. Some functionality in class MapPlots might not be available!\n" + ] + } + ], "source": [ "import numpy as np\n", "from pyunicorn import climate\n", @@ -239,7 +247,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 12, "id": "4e49c74a", "metadata": { "scrolled": true @@ -249,33 +257,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Reading NetCDF File and converting data to NumPy array...\n", - "File format: NETCDF4_CLASSIC\n", - "Global attributes:\n", - "description: Data from NCEP initialized reanalysis (4x/day). These are the 0.9950 sigma level values\n", - "platform: Model\n", - "Conventions: COARDS\n", - "NCO: 20121012\n", - "history: Thu May 4 20:11:16 2000: ncrcat -d time,0,623 /Datasets/ncep.reanalysis.derived/surface/air.mon.mean.nc air.mon.mean.nc\n", - "Thu May 4 18:11:50 2000: ncrcat -d time,0,622 /Datasets/ncep.reanalysis.derived/surface/air.mon.mean.nc ./surface/air.mon.mean.nc\n", - "Mon Jul 5 23:47:18 1999: ncrcat ./air.mon.mean.nc /Datasets/ncep.reanalysis.derived/surface/air.mon.mean.nc /dm/dmwork/nmc.rean.ingest/combinedMMs/surface/air.mon.mean.nc\n", - "/home/hoop/crdc/cpreanjuke2farm/cpreanjuke2farm Mon Oct 23 21:04:20 1995 from air.sfc.gauss.85.nc\n", - "created 95/03/13 by Hoop (netCDF2.3)\n", - "Converted to chunked, deflated non-packed NetCDF4 2014/09\n", - "title: monthly mean air.sig995 from the NCEP Reanalysis\n", - "dataset_title: NCEP-NCAR Reanalysis 1\n", - "References: http://www.psl.noaa.gov/data/gridded/data.ncep.reanalysis.derived.html\n", - "Variables (size):\n", - "lat (73)\n", - "lon (144)\n", - "time (900)\n", - "air (900)\n", - "ClimateData:\n", - "Data: 10512 grid points, 9460800 measurements.\n", - "Geographical boundaries:\n", - " time lat lon\n", - " min 1297320.0 -90.00 0.00\n", - " max 1954032.0 90.00 357.50\n" + "Reading NetCDF File and converting data to NumPy array...\n" ] } ], @@ -286,7 +268,7 @@ " window=WINDOW, time_cycle=TIME_CYCLE)\n", "\n", "# Print some information on the data set\n", - "print(data)" + "#print(data) # currently not working, see Issue #210" ] }, { @@ -299,7 +281,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 13, "id": "c5326b90", "metadata": {}, "outputs": [ @@ -357,12 +339,12 @@ "id": "b443476e", "metadata": {}, "source": [ - "We finish by doing some calculations and saving them to text files." + "We finish by calculating some network measures. (NOTE: These calculations might take ~ 3 min)" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 14, "id": "4f568b0f", "metadata": {}, "outputs": [ @@ -394,17 +376,29 @@ "# Get average link distance\n", "ald = net.average_link_distance()\n", "# Get maximum link distance\n", - "mld = net.max_link_distance()\n", - "\n", - "#\n", - "# Save results to text file\n", - "#\n", - "\n", - "# Save the grid (mainly vertex coordinates) to text files\n", - "data.grid.save_txt(filename=\"grid.txt\")\n", + "mld = net.max_link_distance()" + ] + }, + { + "cell_type": "markdown", + "id": "72a717d7", + "metadata": {}, + "source": [ + "Save these results to text files if you like to:" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "ec0772b2", + "metadata": {}, + "outputs": [], + "source": [ + "# Save the grid (mainly vertex coordinates)\n", + "data.grid.save_txt(filename=\"data/grid.txt\")\n", "\n", "# Save the degree sequence. Other measures may be saved similarly.\n", - "np.savetxt(\"degree.txt\", degree)" + "np.savetxt(\"data/degree.txt\", degree)" ] }, { @@ -572,7 +566,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.4" + "version": "3.10.13" } }, "nbformat": 4, diff --git a/notebooks/tutorial_EventSynchronisation_EventCoincidence.ipynb b/examples/tutorials/EventSynchronisation_EventCoincidence.ipynb similarity index 91% rename from notebooks/tutorial_EventSynchronisation_EventCoincidence.ipynb rename to examples/tutorials/EventSynchronisation_EventCoincidence.ipynb index 43be803b..1c3d28f9 100644 --- a/notebooks/tutorial_EventSynchronisation_EventCoincidence.ipynb +++ b/examples/tutorials/EventSynchronisation_EventCoincidence.ipynb @@ -54,21 +54,21 @@ "As mentioned before, the paramter free method ES offers a fast and reliable method to measure synchronizations between time series.\n", "The fundamental idea of the method is illustrated by the picture below (from [Odenweller et al., 2020](https://journals.aps.org/pre/abstract/10.1103/PhysRevE.101.052213)):\n", "\n", - "![Event Synchronisation](img/EventSynchronisation.png)\n", + "![Event Synchronisation](images/EventSynchronisation.png)\n", "\n", - "Two events *l* and *m*, from timeseries *i* and *j* are considered synchroneous if they occur within a certain time interal $\\tau$ retrieved from the data properties. The time interval $\\tau$ is defined as:\n", + "Two events $l$ and $m$, from timeseries $i$ and $j$ are considered synchronous if they occur within a certain time interal $\\tau$ retrieved from the data properties. The time interval $\\tau$ is defined as:\n", "\n", - "![](https://latex.codecogs.com/svg.image?\\tau_{lm}^{ij}&space;=&space;\\frac{1}{2}min[{&space;t_{l+1}^{i}&space;-&space;t_{l}^{i},&space;t_{l}^{i}&space;-&space;t_{l-1}^{i},&space;t_{m+1}^{j}&space;-&space;t_{m}^{j},&space;t_{m}^{j}&space;-&space;t_{m-1}^{j}&space;])\n", + "$$\\tau_{lm}^{ij}=\\frac{1}{2}min\\left[(t_{l+1}^{i}-t_{l}^{i}), \\; (t_{l}^{i}-t_{l-1}^{i}), \\; (t_{m+1}^{j}-t_{m}^{j}), \\; (t_{m}^{j}-t_{m-1}^{j})\\right]$$\n", "\n", - "From here the occurences of synchronised events in timeseries *i* when given an event in *j* gives:\n", + "From here the occurences of synchronised events in timeseries $i$ when given an event in $j$ gives:\n", "\n", - "![](https://latex.codecogs.com/svg.image?c(i|j|)&space;=&space;\\sum_{l=2}^{s_i&space;-&space;1}\\sum_{m=2}^{s_j-1}J_{lm}^{im})\n", + "$$c(i|j|)=\\sum_{l=2}^{s_i-1}\\sum_{m=2}^{s_j-1}J_{lm}^{im}$$\n", "\n", "whereby $J_{lm}^{im}$ counts the events that match the synchronization condition. For more detail on this, see [Odenweller et al., 2020](https://journals.aps.org/pre/abstract/10.1103/PhysRevE.101.052213).\n", "\n", - "Finally, we can define the strength of event synchronisation between the timeseries *i* and *j* by:\n", + "Finally, we can define the strength of event synchronisation between the timeseries $i$ and $j$ by:\n", "\n", - "![](https://latex.codecogs.com/svg.image?Q_{ij}^{ES}&space;=&space;\\frac{c(i|j|)&space;+&space;c(j|i)}{\\sqrt{(s_i&space;-2)(s_j&space;-2)}})\n", + "$$Q_{ij}^{ES}=\\frac{c(i|j|)+c(j|i)}{\\sqrt{(s_i-2)(s_j-2)}}$$\n", "\n", "In the usual case for which the timeseries are not fully synchronized, $0 <= Q_{ij}^{ES} <= 1$. For total or abscent synchronisation $Q_{ij}^{ES} = 1$ or $Q_{ij}^{ES} = 0$, respectively. \n", "\n", @@ -91,19 +91,19 @@ "id": "fae1001e", "metadata": {}, "source": [ - "In contrary to ES, ECA is characterized by the incorporation of a *static (global) coincidence intervals*. Hereby a tolerance interval $\\Delta$T is defined so that for events in *j* at $t_{m}^{i}$ preceding events in *i* at $t_{l}^{i}$ obey to $0 <= t_{l}^{i} - t_{m}^{j} <= $ $\\Delta$T. The fundamental idea of the method is illustrated by the picture below (from [Odenweller et al., 2020](https://journals.aps.org/pre/abstract/10.1103/PhysRevE.101.052213)):\n", + "In contrary to ES, ECA is characterized by the incorporation of a *static (global) coincidence intervals*. Hereby a tolerance interval $\\Delta T$ is defined so that for events in $j$ at $t_{m}^{i}$ preceding events in $i$ at $t_{l}^{i}$ obey to $0 \\leq (t_{l}^{i} - t_{m}^{j}) \\leq $ $\\Delta T$. The fundamental idea of the method is illustrated by the picture below (from [Odenweller et al., 2020](https://journals.aps.org/pre/abstract/10.1103/PhysRevE.101.052213)):\n", "\n", - "![ECA](img/ECA.png)\n", + "![ECA](images/ECA.png)\n", "\n", - "It is to be noted, When determining the coincidence rate while performing ECA, the differentiation between *precursor* and *trigger* event coincidence rates applies. The former refers to the number of events in *i* that precede the events in *j*. The trigger rates, on the other hand, quantify the events in *j* that precede at least one event in *i*. \n", + "It is to be noted, when determining the coincidence rate while performing ECA, the differentiation between *precursor* and *trigger* event coincidence rates applies. The former refers to the number of events in $i$ that precede the events in $j$. The trigger rates, on the other hand, quantify the events in $j$ that precede at least one event in $i$. \n", "\n", "Thus, the definition of the precursor event coincidence rate is defined as:\n", "\n", - "![](https://latex.codecogs.com/svg.image?r_p(i|j;&space;\\Delta&space;T,&space;\\tau)&space;=&space;\\frac{1}{s_i&space;-&space;s_{i}^{'}}&space;\\sum_{l=1+s_{i}^{'}}^{s_i}\\Theta&space;[{&space;\\sum_{m=1}^{s_j}1_{[0,\\Delta&space;T]\\left&space;[&space;(t_{l}^{i}&space;-&space;\\tau)&space;-t_m^j&space;\\right&space;]}]})\n", + "$$r_p(i|j;\\Delta T,\\tau) = \\frac{1}{s_i-s_{i}^{'}}\\sum_{l=1+s_{i}^{'}}^{s_i} \\Theta \\left[\\sum_{m=1}^{s_j} 1_{[0,\\Delta T]}\\left[(t_{l}^{i}-\\tau)-t_m^j\\right]\\right]$$\n", "\n", "The trigger event cincidence rate on the other hand is defined as:\n", "\n", - "![](https://latex.codecogs.com/svg.image?r_p(i|j;&space;\\Delta&space;T,&space;\\tau)&space;=&space;\\frac{1}{s_i&space;-&space;s_{i}^{''}}\\sum_{m=1}^{s_j&space;-&space;s_j^{''}}\\Theta[\\sum_{l=1}^{s_i}1__{[0,&space;\\Delta&space;T]}((t_l^i&space;-&space;\\tau)&space;-&space;t_m^j)])\n", + "$$r_p(i|j;\\Delta T,\\tau)=\\frac{1}{s_i-s_{i}^{''}}\\sum_{m=1}^{s_j-s_j^{''}}\\Theta\\left[\\sum_{l=1}^{s_i} 1_{[0,\\Delta T]} \\left[(t_l^i-\\tau)-t_m^j\\right]\\right]$$\n", "\n", "For detailed information on the calculation of e.g. $s_i^{''}$ or $s_j^{''}$, consult [Odenweller et al., 2020](https://journals.aps.org/pre/abstract/10.1103/PhysRevE.101.052213)). \n", "\n", diff --git a/notebooks/tutorial_recurrenceNetwork.ipynb b/examples/tutorials/RecurrenceNetworks.ipynb similarity index 68% rename from notebooks/tutorial_recurrenceNetwork.ipynb rename to examples/tutorials/RecurrenceNetworks.ipynb index 0d823d11..acb8b7da 100644 --- a/notebooks/tutorial_recurrenceNetwork.ipynb +++ b/examples/tutorials/RecurrenceNetworks.ipynb @@ -37,7 +37,7 @@ "\n", "The following figures graphically represents the timeseries in phase space and what its respective recurrent plot looks like. \n", "\n", - "![Recurrence Plot](img/REcurrencePlot_v2.png)\n", + "![Recurrence Plot](images/REcurrencePlot_v2.png)\n", "\n", "__(A)__ A state at time *i* (red dot) is recurrent at another time *j* (black dot) when the phase space trajectory visits its close neighborhood (gray circle). This is marked by value 1 in the recurrence matrix at *(i, j)*. States outside of this neighborhood (small red circle) are marked with 0 in the recurrence matrix. __(B)__ Graphical representation of the corresponding recurrence matrix (recurrence plot) and adjacency matrix (modulo main diagonal).\n", "\n", @@ -72,13 +72,15 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 8, "id": "b8e8e60f", "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", + "from tqdm.auto import tqdm\n", + "\n", "from pyunicorn.timeseries import RecurrenceNetwork\n", "from pyunicorn.timeseries import RecurrencePlot" ] @@ -553,7 +555,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 2, "id": "6178bd02", "metadata": {}, "outputs": [], @@ -612,13 +614,13 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 3, "id": "05eb6b57", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -945,95 +947,55 @@ "source": [ "### 3.1 Bonus exercise: Transitivity dimension for sweeping recurrence rate\n", "\n", - "We can also calculate the transitivity dimension for an array of different recurrence rates. (Note: this will be somewhat computationally expensive and might take some time to run through). We first create a function to do this:" + "We can also calculate the transitivity dimension for an array of different recurrence rates. (Note: this will be somewhat computationally expensive and might take some time to finish). We first create an array of recurrence rates to calculate the transitivity dimensions for, and then loop over it:" ] }, { "cell_type": "code", - "execution_count": 21, - "id": "e8c2c271", - "metadata": {}, - "outputs": [], - "source": [ - "from IPython.display import clear_output\n", - "\n", - "def TD_RR_sweep(timeseries, rr):\n", - " \"\"\"\n", - " given:\n", - " timeseries: timeseries to calculate transitivity for, given different values of epsilon\n", - " eps: array of values of epsilon to calculate transitivity for\n", - " returns:\n", - " transitivity: numpy array of calculated transitivity for each value of EPS\n", - " \"\"\"\n", - "\n", - " TD = []\n", - " it = 0\n", - " its = len(rr)\n", - " for r in rr:\n", - " ## display progress\n", - " # clear previous output\n", - " clear_output(wait=True)\n", - " # print iteration\n", - " it += 1\n", - " print(f\"Iteration {it}/{its}: Calculating TD for rr = {r}\")\n", - " \n", - " ## do calculations\n", - " # calculate transitivity from RecurrenceNetwork\n", - " T_r = RecurrenceNetwork(timeseries, recurrence_rate=r).transitivity() # ~30s runtime\n", - " # calculate transitivity dimension\n", - " TD_r = (np.log10(T_r))/np.log10(3/4)\n", - " # append to list\n", - " TD.append(TD_r)\n", - "\n", - " print(\"Finished calculating transitivity dimensions.\")\n", - " return np.array(TD)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "f0b7b886", - "metadata": {}, - "source": [ - "Now we can choose an array of recurrence rates to calculate the transitivity dimensions for:" - ] - }, - { - "cell_type": "code", - "execution_count": 22, + "execution_count": 10, "id": "524378fe", "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "Iteration 5/5: Calculating TD for rr = 0.17999999999999997\n", - "Calculating recurrence plot at fixed recurrence rate...\n", - "Calculating the supremum distance matrix...\n", - "Calculating transitivity coefficient (C_1)...\n", - "Finished calculating transitivity dimensions.\n" - ] + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b18a63cac81242409301961881bd18c3", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | 0/5 [00:00" ] @@ -1045,7 +1007,7 @@ "source": [ "# Plot series\n", "plt.figure(figsize=(14, 4), dpi=80)\n", - "plt.plot(RR, transitivity_dimension, label= \"Lorenz attractor (10000 timesteps)\") \n", + "plt.plot(rr, TD, label= \"Lorenz attractor (10000 timesteps)\") \n", "plt.xlabel('Recurrence Rate $RR$')\n", "plt.ylabel('Transitivity Dimension $TD$')\n", "plt.legend(loc = \"upper right\")\n", @@ -1069,7 +1031,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.16" + "version": "3.10.13" }, "vscode": { "interpreter": { diff --git a/examples/tutorials/VisibilityGraphs.ipynb b/examples/tutorials/VisibilityGraphs.ipynb new file mode 100644 index 00000000..7ebd61b4 --- /dev/null +++ b/examples/tutorials/VisibilityGraphs.ipynb @@ -0,0 +1,768 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "6154b988", + "metadata": {}, + "source": [ + "# Tutorial: Network-Based Time Series Analysis via Visibility Graphs" + ] + }, + { + "cell_type": "markdown", + "id": "86362e1e", + "metadata": {}, + "source": [ + "The objective of this tutorial is to introduce the network-based method of visbility graphs for nonlinear time series analysis and explain and illustrate their application with the __pyunicorn__ package. First some theoretical background for understanding visibility graphs will be given and then some methods provided by `pyunicorn.timeseries.VisibilityGraph` illustrated. For a detailed discussion and further references, please consult __[Donges et al., 2015](https://aip.scitation.org/doi/10.1063/1.4934554)__, on which this tutorial is based. " + ] + }, + { + "cell_type": "markdown", + "id": "f5ecd3c6", + "metadata": {}, + "source": [ + "## Introduction" + ] + }, + { + "cell_type": "markdown", + "id": "82630840", + "metadata": {}, + "source": [ + "_Visibility Graphs (VG)_ encode visibility relations between data points in the one-dimensional time domain, by drawing upon analogies between height profiles in physical space and the profile of a time series graph. VGs are based on the existence or non-existence of lines of sight between well-defined objects \\[__[Donges et al., 2015](https://aip.scitation.org/doi/10.1063/1.4934554)__\\].\n", + "\n", + "They can be applied to investigate purely temporal features such as long-range correlations \\[__[Lacasa et al., 2009](https://iopscience.iop.org/article/10.1209/0295-5075/86/30001)__\\] or time reversal asymmetry \\[__[Donges et al., 2013](https://iopscience.iop.org/article/10.1209/0295-5075/102/10004)__\\]." + ] + }, + { + "cell_type": "markdown", + "id": "e02236af", + "metadata": {}, + "source": [ + "## Theory of Time Series Visibility Graphs" + ] + }, + { + "cell_type": "markdown", + "id": "7083e755", + "metadata": {}, + "source": [ + "### Standard Visibility Graph" + ] + }, + { + "cell_type": "markdown", + "id": "4d45f2a5", + "metadata": {}, + "source": [ + "In a time series context, well-defined objects between which lines of sight can be established are the sampling points of a (univariate) time series graph. These sampling points are uniquely characterised by pairs $(t_v, x_v)$ with $x_v = x(t_v)$. From a practical perspective, we can identify each node $v$ of a standard visibility graph with a given time point $t_v$. For $t_v < t_p$ (and, hence, $v < p$) a link between the nodes $v$ and $p$ exists iff\n", + "\n", + "$$x_q < x_v + \\frac{x_p-x_v}{t_p-t_v}(t_q - t_v)\\;\\forall\\; v < q < p$$\n", + "\n", + "Put differently, the topological properties of VGs take into account the time-ordering of observations explicitly and are thus closely related to the roughness of the underlying time series profile. An illustration of a timeseries with respective visibility relations (grey lines) can be seen in the figure below, taken from __[Donner and Donges, 2012](https://link.springer.com/article/10.2478/s11600-012-0032-x)__, that illustrates a timeseries . The VG of a time series stays invariant under arbitrary affine transformations.\n" + ] + }, + { + "cell_type": "markdown", + "id": "dbec9eef", + "metadata": {}, + "source": [ + "![visibilitygraph](images/SimpleVG.PNG)" + ] + }, + { + "cell_type": "markdown", + "id": "a0c4fc91", + "metadata": {}, + "source": [ + "### Horizontal Visibility Graph" + ] + }, + { + "cell_type": "markdown", + "id": "1b60e2a4", + "metadata": {}, + "source": [ + "A notable algorithmic variant are _horizontal visibility graphs (HVGs)_ that facilitate analytical investigations of graph profiles \\[__[Luque et al., 2009](https://journals.aps.org/pre/abstract/10.1103/PhysRevE.80.046103)__\\]. For HVGs the more restrictive condition\n", + "\n", + "$$x_q<\\text{min}\\{x_v,x_p\\}\\;\\forall\\;vv}A_{vp}\\text{,}$$ with $k_v^r$ and $k_v^a$ being the time-retarded and the time-advanced degree respectively.\n", + "\n", + "\n", + "- In a similar manner, the local clustering coefficient $C_v$, which characterises the likelihood that the neighbours of $v$ are also connected, also can be expressed in terms of past and future contributions: $$C_v^r = \\left( _{2}^{k_v^r} \\right)^{-1} \\sum_{p,q\\in V:p,qv}A_{vp}A_{pq}A_{qv}\\text{,}$$ with $C_v^r$ and $C_v^a$ being the time-retarded and the time-advanced local clustering coefficient." + ] + }, + { + "cell_type": "markdown", + "id": "71ebb8e0", + "metadata": {}, + "source": [ + "#### Irreversibility-Test via Kolmogorov-Smirnov (KS) " + ] + }, + { + "cell_type": "markdown", + "id": "d82fb93b", + "metadata": {}, + "source": [ + "Looking at the frequency distributions $p(k_v^r)$, $p(k_v^a)$, $p(C_v^r)$ and $p(C_v^a)$, it is expected that the retarded and advanced sequences for one vertex characteristic, e.g. $\\{k_v^r\\}$ and $\\{k_v^a\\}$ should be drawn from the same probability distributions, $p(k_v^r)$ and $p(k_v^a)$, in case of time reversibility. Then, rejecting the null hypothesis that $\\{k_v^r\\}$ and $\\{k_v^a\\}$ ($\\{C_v^r\\}$ and $\\{C_v^a\\}$) are drawn from the same probability distribution, respectively, is equivalent to rejecting the null hypothesis that the TS is reversible. For sufficiently long time series the samples of individual vertex properties approximate the underlying distributions sufficiently well and the Kolmogorov-Smirnov (KS) test can be used to check this hypothesis. Specifically, a small $p$-value of the KS test static (e.g., $p<0.05$) implies that the time series has likely been generated by an irreversible process.\n", + "\n", + "For illustration purposes, the distributions of time-directed vertex properties of a linear and a non-linear timeseries will be analysed in the following section and evaluated." + ] + }, + { + "cell_type": "markdown", + "id": "41f104c7", + "metadata": {}, + "source": [ + "## Application of Visibility Graphs" + ] + }, + { + "cell_type": "markdown", + "id": "0ddeee77", + "metadata": {}, + "source": [ + "As an example for the application of VGs and HVGs and the class `VisibilityGraph` a linear and a non-linear time series are visually tested and the KS test is applied for irreversibility with the distributions of time-directed vertex properties, after going through some basic concepts." + ] + }, + { + "cell_type": "markdown", + "id": "90a819f1", + "metadata": {}, + "source": [ + "### First Steps" + ] + }, + { + "cell_type": "markdown", + "id": "185accd3", + "metadata": {}, + "source": [ + "Import all needed packages." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "745b1e50", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import math\n", + "from matplotlib import pyplot as plt\n", + "from pyunicorn.timeseries import VisibilityGraph" + ] + }, + { + "cell_type": "markdown", + "id": "757844b5", + "metadata": {}, + "source": [ + "Then we create and plot linear a time series (TS) based on a linear-stochastic first-order autoregressive (AR(1)) with an additive gaußian noise term $\\xi$:\n", + "$$x_t = \\alpha x_{t-1} + \\xi_t \\text{,}$$ \n", + "where $\\alpha = 0.5$ \n", + "For more background on the construction of time series, consult __[Shumway and Stoffer, 2017](https://link.springer.com/book/10.1007/978-3-319-52452-8)__. " + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "1a5e5042", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAABW4AAAGGCAYAAADrbBjiAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOydd3wcxdnHfyfJvdKbaaZjA4YAphM6hBoInVACARJqCISQlx7ApncwmAAGbMAGU0xxxb333uVeZEuymtV1+/4h32l2b2Z2Znf2dk/3fD8f8Gl3dmZ2duozzzxPzLIsCwRBEARBEARBEARBEARBEERkyAk7AwRBEARBEARBEARBEARBEIQdEtwSBEEQBEEQBEEQBEEQBEFEDBLcEgRBEARBEARBEARBEARBRAwS3BIEQRAEQRAEQRAEQRAEQUQMEtwSBEEQBEEQBEEQBEEQBEFEDBLcEgRBEARBEARBEARBEARBRAwS3BIEQRAEQRAEQRAEQRAEQUQMEtwSBEEQBEEQBEEQBEEQBEFEDBLcEgRBEARBEARBEARBEARBRAwS3BIEQRAEQRDajBkzBrFYDGPGjAk7K2nl73//O8477zxPz/773/9Gz549DecIiMViePrpp43Hmylk+/sTBEEQBNF8IcEtQRAEQRCEYT799FPEYjHhf1OmTAk7i82ef/3rX4jFYrj22mu591evXm37Jjk5Odh5551x0UUXYfLkydxnVq1ahY8++gj/+c9/bNfff/99XH311dhvv/0Qi8Vw6623cp9/8MEHMXfuXPz444/SvLvVn8R/BxxwgGs5hMWQIUNw5plnYvfdd0fbtm3RtWtXXHPNNRg6dGjYWSMIgiAIgsgY8sLOAEEQBEEQRHPl2WefxYEHHphy/eCDDw4hN9mDZVn48ssvccABB2DIkCEoLy9Hhw4duGGvv/56/OEPf0BDQwOWLVuG9957D2eddRamT5+Oo446yhb2zTffxIEHHoizzjrLdv3FF19EeXk5TjzxRGzatEmYrz333BOXX345XnnlFVx22WXCcGeccQY+//xz27U77rgDJ554Iu68887ktfbt2wMAqqqqkJcXnWn9K6+8gkceeQRnnnkmHnvsMbRt2xYrVqzAyJEj8dVXX+HCCy80ml7U3p8gCIIgCMIUNMMhCIIgCIIIiIsuugjHH3982NnICLZv34527doZiWvMmDFYv349fvvtN1xwwQUYPHgwbrnlFm7Y4447DjfddFPy79NPPx0XXXQR3n//fbz33nvJ63V1dejfvz/uvvvulDjGjh2b1LZNCFNFXHPNNbj66quRn5+Prl27csN07do15d7dd9+Nrl272vKaoHXr1tI000l9fT3++9//4rzzzsPw4cNT7m/ZssVIOvF4HLW1tWjdunWk3p8gCIIgCMIkZCqBIAiCIAgiJJ566ink5ORg1KhRtut33nknWrZsiblz5wIAamtr8eSTT+J3v/sdOnXqhHbt2uH000/H6NGjbc8ljv+/8sorePfdd9G1a1e0bdsW559/PtatWwfLsvDf//4XXbp0QZs2bXD55ZejuLjYFscBBxyASy65BMOHD0ePHj3QunVrHHnkkRg8eLDr+4wfPz5pMqBVq1bYd9998Y9//ANVVVW2cLfeeivat2+PlStX4g9/+AM6dOiAG2+8EU899RRatGiBrVu3psR95513onPnzqiurnbNR//+/XHkkUfirLPOwrnnnov+/fu7PpPg9NNPBwCsXLnSdn3ChAkoLCzEueeem/LM/vvvj1gsphR/4vkffvhBOU9uOG28Pv3004jFYli2bBluuukmdOrUCbvtthueeOIJWJaFdevW4fLLL0fHjh2x55574tVXX02Js6amBk899RQOPvjg5Lf817/+hZqaGmleCgsLUVZWhlNPPZV7f/fdd/eUTiwWw7333ov+/fujW7duaNWqVdLsAs/G7YYNG/CXv/wFe+yxB1q1aoVu3brh448/TsnP22+/jW7duqFt27bYaaedcPzxx2PAgAHSdyQIgiAIgkgXJLglCIIgCIIIiNLSUhQWFtr+KyoqSt5//PHH0aNHD9x+++0oLy8HAAwbNgx9+/bFk08+iWOOOQYAUFZWho8++gi///3v8eKLL+Lpp5/G1q1bccEFF2DOnDkp6fbv3x/vvfce7rvvPvzzn//E2LFjcc011+Dxxx/H0KFD8eijj+LOO+/EkCFD8PDDD6c8v3z5clx77bW46KKL0KtXL+Tl5eHqq6/GiBEjpO87aNAgVFZW4m9/+xvefvttXHDBBXj77bdx8803p4Str6/HBRdcgN133x2vvPIKrrrqKvz5z39GfX09vv76a1vY2tpafPPNN7jqqqtctStramrw7bff4vrrrwfQaArht99+w+bNm6XPJVi9ejUAYKeddrJdnzRpEmKxGI499lileER06tQJBx10ECZOnOgrHhWuvfZaxONx9O7dGz179sRzzz2HN954A+eddx722WcfvPjiizj44IPx8MMPY9y4ccnn4vE4LrvsMrzyyiu49NJL8fbbb+OKK67A66+/LrQZnGD33XdHmzZtMGTIkJRNASe66fz222/4xz/+gWuvvRZvvvmm0MZvQUEBTjrpJIwcORL33nsv3nzzTRx88MG4/fbb8cYbbyTD9e3bF/fffz+OPPJIvPHGG3jmmWfQo0cPTJ06VZpvgiAIgiCItGERBEEQBEEQRvnkk08sANz/WrVqZQs7f/58q2XLltYdd9xhbdu2zdpnn32s448/3qqrq0uGqa+vt2pqamzPbdu2zdpjjz2sv/zlL8lrq1atsgBYu+22m1VSUpK8/thjj1kArGOOOcYW7/XXX2+1bNnSqq6uTl7bf//9LQDWt99+m7xWWlpq7bXXXtaxxx6bvDZ69GgLgDV69OjktcrKypSy6NWrlxWLxaw1a9Ykr91yyy0WAOvf//53SviTTz7Z6tmzp+3a4MGDU9IS8c0331gArOXLl1uWZVllZWVW69atrddff90WLlFWzzzzjLV161Zr8+bN1vjx460TTjjBAmANGjTIFv6mm26ydtllF9f027VrZ91yyy3SMOeff751xBFHuMalGi8A66mnnkr+/dRTT1kArDvvvDN5rb6+3urSpYsVi8Ws3r17J69v27bNatOmjS3uzz//3MrJybHGjx9vS6dPnz4WAGvixInSvD755JMWAKtdu3bWRRddZD3//PPWzJkzU8LppAPAysnJsRYuXOj6/rfffru11157WYWFhbZw1113ndWpU6dkPb388sutbt26Sd+FIAiCIAgiTEjjliAIgiAIIiDeffddjBgxwvbfr7/+agvTvXt3PPPMM/joo49wwQUXoLCwEP369bM5W8rNzUXLli0BNGopFhcXo76+HscffzxmzZqVku7VV1+NTp06Jf/u2bMnAOCmm26yxduzZ0/U1tZiw4YNtuf33ntv/PGPf0z+3bFjR9x8882YPXu2VHO1TZs2yd/bt29HYWEhTjnlFFiWhdmzZ6eE/9vf/pZy7eabb8bUqVNtpgr69++PfffdF2eeeaYwbTbs8ccfn3QA16FDB1x88cVCcwlPPfUUdtttN+y55544/fTTsXjxYrz66qv405/+ZAtXVFSUooXrlZ122gmFhYVG4pJxxx13JH/n5ubi+OOPh2VZuP3225PXO3fujMMOOwz5+fnJa4MGDcIRRxyBww8/3KYtfvbZZwNAiokOJ8888wwGDBiAY489FsOGDcP//d//4Xe/+x2OO+44LF682HM6Z555Jo488khp2pZl4dtvv8Wll14Ky7Js8V5wwQUoLS1NtpnOnTtj/fr1mD59ujROgiAIgiCIsCDBLUEQBEEQRECceOKJOPfcc23/nXXWWSnhHnnkERxzzDGYNm0annrqKa5wql+/fjj66KPRunVr7LLLLthtt93w888/o7S0NCXsfvvtZ/s7IcTdd999ude3bdtmu37wwQen2Gw99NBDATSZEuCxdu1a3Hrrrdh5553Rvn177LbbbklhqzOfeXl56NKlS0oc1157LVq1apUUtJaWluKnn37CjTfe6GpHtqSkBL/88gvOPPNMrFixIvnfqaeeihkzZmDZsmUpz9x5550YMWIEhgwZkrTH29DQwI3fsixp+qpYlqVsE9cPvHrQunVr7LrrrinX2TqwfPlyLFy4ELvttpvtv0QdUHEwdv3112P8+PHYtm0bhg8fjhtuuAGzZ8/GpZdemrRTrJvOgQce6Jru1q1bUVJSgg8//DAl3ttuu80W76OPPor27dvjxBNPxCGHHIJ77rknLSYsCIIgCIIgVMlzD0IQBEEQBEEESX5+PpYvXw4AmD9/fsr9L774ArfeeiuuuOIKPPLII9h9992Rm5uLXr16pTjRAhq1K3mIrpsQSDY0NOC8885DcXExHn30URx++OFo164dNmzYgFtvvRXxeNwWvlWrVsjJSdUh2GmnnXDJJZegf//+ePLJJ/HNN9+gpqYGN910k2seBg0ahJqaGrz66qtch1v9+/fHM888Y7t2yCGHJB2GXXLJJcjNzcW///1vnHXWWTj++OOT4XbZZZcUAbdXtm3bliI8DQLe91apA/F4HEcddRRee+01bljnBoCMjh074rzzzsN5552HFi1aoF+/fpg6dSrOPPNM7XRYjW4RiXp200034ZZbbuGGOfroowEARxxxBJYuXYqffvoJQ4cOxbfffov33nsPTz75ZEo9IQiCIAiCCAMS3BIEQRAEQYRIPB7Hrbfeio4dO+LBBx/ECy+8gD/96U+48sork2G++eYbdO3aFYMHD7Zpaj711FOB5GnFihUpWqEJbVWRQ6j58+dj2bJl6Nevn80ZmZtDMx4333wzLr/8ckyfPh39+/fHsccei27durk+179/f3Tv3p1bLh988AEGDBjgKpD7v//7P/Tt2zfpyC3B4Ycfjv79+6O0tNRmhsILq1atSjqeiyIHHXQQ5s6di3POOceoZvDxxx+Pfv36YdOmTYGls9tuu6FDhw5oaGhICuRltGvXDtdeey2uvfZa1NbW4sorr8Tzzz+Pxx57zNURHkEQBEEQRNCQqQSCIAiCIIgQee211zBp0iR8+OGH+O9//4tTTjkFf/vb32w2UBNakqxW5NSpUzF58uRA8rRx40Z89913yb/Lysrw2WefoUePHthzzz25z/DyaFkW3nzzTe30L7roIuy666548cUXMXbsWCVt23Xr1mHcuHG45ppr8Kc//Snlv9tuuw0rVqzA1KlTpfF07twZd911F4YNG4Y5c+Ykr5988smwLAszZ87Ufh+W0tJSrFy5EqeccoqveILkmmuuwYYNG9C3b9+Ue1VVVdi+fbvw2crKSmG9TNh3Puyww3ynIyI3NxdXXXUVvv32WyxYsCDl/tatW5O/i4qKbPdatmyJI488EpZloa6uTjttgiAIgiAI05DGLUEQBEEQRED8+uuvWLJkScr1U045BV27dsXixYvxxBNP4NZbb8Wll14KAPj000/Ro0cP/P3vf8fAgQMBNB7hHzx4MP74xz/i4osvxqpVq9CnTx8ceeSRqKioMJ7vQw89FLfffjumT5+OPfbYAx9//DEKCgrwySefCJ85/PDDcdBBB+Hhhx/Ghg0b0LFjR3z77beezAu0aNEC1113Hd555x3k5ubi+uuvd31mwIABsCwLl112Gff+H/7wB+Tl5aF///5JZ20iHnjgAbzxxhvo3bs3vvrqKwDAaaedhl122QUjR45MOs9KMGTIEMydOxcAUFdXh3nz5uG5554DAFx22WXJo/kAMHLkSFiWhcsvv9z1ncLiz3/+MwYOHIi7774bo0ePxqmnnoqGhgYsWbIEAwcOxLBhw2xmJFgqKytxyimn4KSTTsKFF16IfffdFyUlJfj+++8xfvx4XHHFFTj22GN9pyOjd+/eGD16NHr27Im//vWvOPLII1FcXIxZs2Zh5MiRKC4uBgCcf/752HPPPXHqqadijz32wOLFi/HOO+/g4osvRocOHbwXIEEQBEEQhCFIcEsQBEEQBBEQTz75JPf6J598gv333x+33HILdt11V7zxxhvJe4cccgh69eqFBx54AAMHDsQ111yDW2+9FZs3b8YHH3yAYcOG4cgjj8QXX3yBQYMGYcyYMcbzfcghh+Dtt9/GI488gqVLl+LAAw/E119/jQsuuED4TIsWLTBkyBDcf//96NWrF1q3bo0//vGPuPfeez2ZBbj55pvxzjvv4JxzzsFee+3lGr5///7Yb7/9hGl17twZp512Gr7++muhTdUEe++9N2644QZ8/vnnWLlyJQ466CC0bNkSN954IwYNGoQXXnjBFv7bb79Fv379kn/Pnj0bs2fPBgB06dLFJrgdNGgQTjvtNBx00EGu7xQWOTk5+P777/H666/js88+w3fffYe2bduia9eueOCBB5LOw3h07twZffv2xc8//4xPPvkEmzdvRm5uLg477DC8/PLLuP/++42kI2OPPfbAtGnT8Oyzz2Lw4MF47733sMsuu6Bbt2548cUXk+Huuusu9O/fH6+99hoqKirQpUsX3H///Xj88cc9pUsQBEEQBGGamGXKPS5BEARBEASR8RxwwAHo3r07fvrpp1DzMXfuXPTo0QOfffYZ/vznP4ealwT5+fk4/PDD8euvv+Kcc87Rfn7z5s048MAD8dVXX0Va45YgCIIgCIKIBmTjliAIgiAIgogcffv2Rfv27W1O2sKma9euuP3229G7d29Pz7/xxhs46qijSGhLEARBEARBKEGmEgiCIAiCIIjIMGTIECxatAgffvgh7r33XrRr1y7sLNl4//33PT/rVeBLEARBEARBZCckuCUIgiAIgiAiw3333YeCggL84Q9/wDPPPBN2dgiCIAiCIAgiNMjGLUEQBEEQBEEQBEEQBEEQRMQgG7cEQRAEQRAEQRAEQRAEQRARgwS3BEEQBEEQBEEQBEEQBEEQESOrbNzG43Fs3LgRHTp0QCwWCzs7BEEQBEEQBEEQBEEQBEFkEZZloby8HHvvvTdycuQ6tVkluN24cSP23XffsLNBEARBEARBEARBEARBEEQWs27dOnTp0kUaJqsEtx06dADQWDAdO3YMOTcEQRAEQRAEQRAEQRAEQWQTZWVl2HfffZNyShlZJbhNmEfo2LEjCW4JgiAIgiAIgiAIgiAIgggFFTOu5JyMIAiCIAiCIAiCIAiCIAgiYpDgliAIgiAIgiAIgiAIgiAIImKQ4JYgCIIgCIIgCIIgCIIgCCJikOCWIAiCIAiCIAiCIAiCIAgiYpDgliAIgiAIgiAIgiAIgiAIImKQ4JYgCIIgCIIgCIIgCIIgCCJikOCWIAiCIAiCIAiCIAiCIAgiYpDgliAIgiAIgiAIgiAIgiAIImKQ4JYgCIIgCIIgCIIgCIIgCCJikOCWIAiCIAiCIAiCIAiCIAgiYpDgliAIgiAIgiAIgiCIjKEhbuGvn83A6yOWhZ0VgiCIQCHBLRF5NpVWYcLywrCzQRAEQRAEQRAEQUSAscu2YMSiArw5annYWSEIgggUEtwSkefkXr/hpv9NxbhlW8POCkEQBEEQBBES7/y2HJ9OXBV2NgiCiADVdfGws0AQBJEWSHBLZAxT8ovCzgJBEARBEAQRAuu3VeKV4cvw9JBFiMetsLNDEETIWNQNEASRJZDgliAIgiAIgiCISFNZ25D8HYuFmBGCIAiCIIg0QoJbImOgTVWCIAiCIAiCNO0IgrBodUgQRJaQsYLb3r17IxaL4cEHHww7K0SaoEk6QRAEQTQPFm4sxcvDlqCipj7srBAEQRAZCK0NCYLIFvLCzoAXpk+fjg8++ABHH3102Fkh0gjtqhIEQRBE8+DityYAALbXNODpy7qFnBsi06AZIUEQBEEQ2ULGadxWVFTgxhtvRN++fbHTTjuFnR2CIAiCIAjCI4s2loWdBYIgCCIDoQ0cgiCyhYwT3N5zzz24+OKLce6557qGrampQVlZme0/giAIgiAIgiAyF4vOSBMEQRAEkSVklKmEr776CrNmzcL06dOVwvfq1QvPPPNMwLki0gbN0QmCIAiCIAiCILIe2sAhCCJbyBiN23Xr1uGBBx5A//790bp1a6VnHnvsMZSWlib/W7duXcC5JIKEhmaCIAiCIIjshGQ0BEEQBEFkIxmjcTtz5kxs2bIFxx13XPJaQ0MDxo0bh3feeQc1NTXIzc21PdOqVSu0atUq3VklAoJ2VQmCIAiieUGORwkvUK0hCIKWhgRBZAsZI7g955xzMH/+fNu12267DYcffjgeffTRFKEtQRAEQRAEEW1o4U0QBOGdJZvLMHFFEW45eX/k5WbMYVqCIAhCg4wR3Hbo0AHdu3e3XWvXrh122WWXlOtE84QWdwRBEARBEATNCQmikQvfGA8AyIkBt516YMi5SS90YoMgiGyBtuWIjIGGZoIgCIJoXtDYThAE4Z8FG8rCzkLaoQ0cgiCyhYzRuOUxZsyYsLNApBEanAmCIAiCIAjStCMIOzmxsHNAEARBBAVp3BIEQRAEQRAEQRBEhhLLQsEtKfUQBJEtkOCWIAiCIAiCIIiMgQQ2BGEnJwslt9QNEASRLZDglsgY6FgcQRAEQTQvLJLAEQRB+CaWhYJbgiCIbIEEt0TGQGs7giAIgiAIgiAIO9lo45Y2/giCyBZIcEsQBEEQBEEQBEEQGUo2mkogCILIFkhwSxAEQRAEQYQC6UsRqpDJLIIQk41yW+oRCILIFkhwS2QMdByGIAiCIJoXNLQTXqB6QxB2slLjlvoBgiCyBBLcEhkDjc0EQTQHLMtCdV1D2NkgCIIgCILIWEgLnyCIbIEEt0TGQNoVBEE0B27631Qc9fQwlFTWhp0VgggdGtoJL5DAhiDsZKXGLUEQRJZAgluCyABKKmvREKdFCkE0ByauKEJdg4WRi7eEnRWCIIhQWL+tEkPmbkSc5jYEYQSS2xIEQTRfSHBLZAzZql2Rv7UCPZ4dgavenxR2VgiCMAjZ7c5eZq/dhoveHI9JKwvDzgpBhMJpL47GfV/Oxjcz13t6nrpPgrCTk4WCW+oHCILIFkhwS2QM2To4fz97AwBgzrqScDNCEESzpKa+AZe9MwFP/rAg7KxkDTf0nYrFm8pwQ9+pYWeFIEJlSn5R2FkgiGZBNppKyNKlIUE0S2auKcb5r4/FpBWk1MCDBLcEEXFysnELnSCygKgsOEYt3oJ560vx2eQ1YWcla6gi53RNZOuuLNGIxykO1RqCsBPLRsEtdQQE0Wy47sMpWFZQgRs+IqUGHiS4JTKGbB2bs3EHnSCI9EH2swmCCIuYV8ktQRA2aLlAEEQmU9dA6xEZJLgliIiTSxq3BEEQBEE0Q0jYRBBmyMblQrb6PyEIIvsgwS2RMWTrcRjSuCWIZkpE+jTqYogwiUgzIELCa/dDzh0Jwk42rheoGyAIIlsgwS2RQWTn6JyNO+gEkYnEyeQAQWhDC+/sJgtlTQQRCNSUCIIgmi8kuCUyhmxd3GXjDjpBZBpl1XU49cXf8Njg+dJwrJZYVI74kY1JgiDCwuscJxq9J0FEh6x0ThZ2BgiCINIECW4JIuLkkMotQUSeb2asx6bSanw5ba00HCnlEgRBNJGFsiaCCISsbEvsZni2avgQBJEVkOCWyBiydTwmuW34TFpRiMe/n4/K2vqws0JEFNUFU0OcXWQElBmCyCCionlOhIVHjVuqNgRhg07o6bNyawX+9c1crCnaHnZWCIIgpOSFnQGCUCVbF3c0EQufGz6aCgDo3KYlHr7gsJBzQ0QR1VYaj6C0gboYgiDCgvofgjBDNip6sDMqy9LvT679YAoKK2owdVUxxj5yltG8EUSmUNcQx+JNZei+dyc66RthSOOWICIOdaDRYd22yrCzQEQUVdty9SHYSqitj6PP2JVYvKks7WkTBEHI8DzDid4eWMaxtbwGW8qqw85GCuXVdXTsXRHWKWo22rj1S2FFDQBgTRHN74ns5Z8D5+KydybindErQs0HiTzkkOCWyBiydQ6XSxMxgog8XkwlpIuPJ65C71+X4KI3x3PvUw9DhEm2ju1EIzTFCYf6hjhOeH4kTnxhFKrrGsLOTpI560pw1NPD8c9Bc8POSkaQ7d0nO35ke1kQhFd+nLsRAPD+mJWh5oM2n+SQ4JaIBJZlZeTuek19A275eBr6jssPLA3afTLH0AWbceV7E7GumHbWiXCIhyC4XbChVDlsJvbDBEFkLmQOKhwqGWFtSWVdiDmx894Oja/BszaEnJPMINvHbIuckxGEMcI250YyDzkkuCVCx7IsXPPBZFz+7kSpUCOKw/G3Mzdg7LKteP6XxUrhJywvxMDp67TSYBc1NCnxx91fzMSstSX49+B5YWeFaGaozjUamDacLhmuzg42dTEEQaQTr+u0bPV7QBBEE9QLEIQ5wl4DxOgMoBRyTkaETmVtA6av3gYA2FRWjX06t+GGC7sz4VFZW68V/qb/NTq56r5PJxy5d0elZ1gbt3ELyKU+zTelVdHRLiGaCYrCUXZzqiFNnZpbztisxy0LOTRxItJIFMd2In3Q0chwiGq7i2i2IguVVxNUFgThj9A3RGk6IIU0bonQsQkNpBq30RuSvU58C8rVnUGwxwbCsI9JEIQ7njRu09SedeQi1MUQ6SaqVW5LWTVmr90WdjYIBps9y6hWnAwkSrJz+q7eycZTeVn4ygQRGGG3JzKVIIcEt0ToZKNavI7DsVybxi3NUAgiinhxTlafLsGtRgjqYwiikRNfGIU/vjcJc9eVhJ2VZk2UhIbZCnX7/pi/vhQbS6pCSTvbvx37+tleFgThl7DXANkoE9KBBLdEpJD2FxEckL1qAedqbCmxNm5J4zZcaDgh/BKPs7/TpXFLNm5FNMQtfDQ+H/PWl4SdFSKiTFtVHHYWmjVeF2pZ1lVlEZn1ZfO3VuDSdybglN6/hZI+uw7JtvGbIAizhC1mII1bOSS4JSKFTBAaxfmI10mSjhdlm+CWZmUEEUlUhQ/sbnZ0NG6bCHq3fUt5Nd4YuQybSsPRTnLy7az1eO7nxbjsnYlhZyVrycbjvWGzbXstnvh+QSS0iWmhZo6Kmnos3lSm/RxpPXtn3vrS5O/vZ2/AzR9PIz8KaYQdP6JoUo8gCHV05CPZCAluidBhB1qZHCOKizudHLHadToLlRxFG8AEQYSH6lyDbcHpOpKko3EbdJ7u+nwm3hi5HLd9Mj3QdFRZtrk87CwQRNp5ZshCfD5lDS5/N/wNC6/rtCjOCcPm/NfG4qI3x2PSisKws5I1sGPmg1/PwbhlW/HOb8vTlj41gyaoLAgiwyG5rRQS3BKhww60YdtWCRJWu07HVAJLFIpne009mWwgCAeqLZrt49LVjqLknGz22hIAwJKICExzSN2PyEKWb6kIOwtJdDaWCDkbSxsd3/66YHPIOfFOFOa5OvDySxq3BEFkMk/+sAD/+HpO2hXGaDYghwS3ROhksmF5nfyyQhqdhQobNOzi2VJWjW5PDcO1H0wOOSdmqaytx8w1xZHXaG6IW3jo6zn4fMoa43G/O3oFBk5fZzzebEFZ4zYEUwlu2PIejSylDZIZEW5YsDBg6lrMWrst7KwYw+vmcRBEJycEoU+WDZmRI9PWjQQRdeJxC59NXoPvZm/AzDTPe0iZQg4JbonQsR93yywbtzrUM16JvC6awtZI/mX+JgDAjDXNZwELADd+NBVXvT85EIGoSYYt3IzBszfgie8XGI13xZZyvDxsKf717Tyj8RKp2E4YpElwq9PdhN3HpBvyYEu4MX55If7z3Xxc+d6ksLNijHQIbpVNGXg1leDtsazDsiz8MGcDVm6NjpZ1c4I3ZoY1rlCbIAjCL2w/kp/mcYNm5HJIcEtECrmN2/TlQxUdQ/isN3mva6awyyAqGoKmSRzf/jriGqdlAR2/K62qDyTe5sK64kqMXFQgFUSoOydr+p0+52TRsXEbNcLa3CdN38xhpaJZgbdHLceV701EVW1DwDnyT27AFXDgjHU47r8jMEfB+ZlO/5Rl3ZMRhi7YjAe+moNzXh0bdlaUyLRPzJsXpLN/z/Y2wa7Dsr0siPCoqm3AxBWFqGuIuwfOINK97CfTSXJIcEuEjqqphCgKFHSyxGrc6nhNZNMI22Mq2bYNl6BKP93j5NAFm/DVtLXpTdQHp780Gnd8NgOjl24RB1J2TsY6Y0z9oos3leGC18dh+EJzNgrdvq/dzrixZDOCsDzY0tS0+fHqiGWYtbYEX02Pft8WdL3/1zfzsK2yDvf0n6WQF29pRHBKGElmik5IGS6/qtqGrHQYF/YrZ7vgMhvfmYged38xEzd+NBWvjVgWdlZ846Uf/372BvSf6v/UKllKkEOCWyJ0VAWT9Q2ZPTp7FXpawj/ST3PVuE0Q9bdrLhPUu7+YhX8Pno/12ypdw64tqsTnk1ejpj58Lbbpq8UmQpSdkzGb8bw+7e4vZmJpQTnu/HymZu7EuAtuLe7vbIAmieHT3KpcdV30NW7SZeNWZcNdR4Yc9uZ1JiKatrFl6bc2rNhSjiOeHIp/DpzrM6bMg1e+pDQWDtQ/EGExdtlWAMAXk6Ntci8I4nELD349B//33QJs3uEg0yukcSuHBLdE+NhsPoqD1Ub8+IGb/TBW6Ol1oRq23JQ0bsMlKpNSy7Lw4Fez0evXxb7i2Vxa7SooPOvVMXjih4V457cVvtIKGnayIXsnN43bksogzGHIJ0JsLrKtidMkMXyi0q+J0M3dq8OX4qd5GwPJiynSJbhVmet4tQca9XoTFVTKyW9JfjguHwAwePYGnzGpbR4OW7gZ1304GZtKq3yn55ewTwNG6VReGGSyg2uCiCK6zaiBaXgVNd5M75VW1eGtUcuxtbzG0/PZAgluidCxHfORdBdR0Lhzwk4w3eyHsUJPnclVuiZl64orsa5YrgHZ3DVusxV22ayyaJq/oRTfz9mID8bm+0r3T30m45+D5Bo6iXYzaWWRr7TSiaqtbt5GSBAOy9xkk+zCM+xFaLoJzVQCCYybLfVxC/cOmB12NqSkq/qJ5izsOKOlcZtd3ZMRRGWWyWV51+czMSW/GE98vzDsrGShqJQgCBHNrT9QGSfYtYzXucWTPyxoFmYmgoYEt0Ro1DXEUVZt1y6TdRC19dHWuHWjwaPGbTrsV1XXNeD0l0bj9JdGS8u5QaYSnUae+2kR3hq13Hi8buMNT9iyrrgSQxdsDvSI+Qu/LMYbI9MzoKm8RplBZ2aDZ6lp6ET9CD9bM2TCT/YWbyMkiM0Rt3rNJpltglvRJHN7TT0WbiyNfL1rDlARp5+8tJlK4F9nv7nnnFC9UULUh7FX/dYGr1rTfimsCF87i1++6SuPbG8GduUWgiD8ojsnY9cNXnu+qfnFHp/MLkhwS4TGea+NxdFPD7dNvDJNcKvnnIzVuPWYnsfn3GCPZ1fW1tt+L9lclvw7CtYq1hZV4qMJq/DaiGWREKqc/tJo3P3FTAxdYM6ZFMv6bZX4cFw+3hi5PC12nlVSqK5r0n7X/QZev1n4X1o+IWEFgDLhp027lSPVaAigTuvZuDWefKQRya8ueXsCLn5rAkYuljikI7KC5tgmRKYSFm4sdT15o4Oo7Gx9JGmfB0o6DkqZ/IQ62Y3CRmMQp2QIdbLRPAQRXZrDaKbbpuwat82hBKILCW6J0Fhd1Lg4GLesMHlNbiohAlJDBzpdm13j1puphKAmiKJ+9pK3JuDCN8ZjzNJG4UUUNG5ZkxkRmLMnmboqmN1C1tFNUIJqdqBVWQhV+/gGmWrf2Q22DcnekS1fnnZtEHak3bShbH1MlBpVGhBNMlcVbgcA/Dg3GFulNLUlwoRnIqSgrBoXvzUBp7802mBK/P6E3aDyqvybXT2Vd1TMVbDU1sfx5A8LMHJRQZDZMgJvvPxl/iYs3VzuO25VZZGw62EUFBjCxKZxm+Vlkc1s216LP70/CZ9PyTznYL8tKcDgWevDzoZnWNGA17ktbcCoQYJbIlLIZBZRd07mBisQ0eme0t2VsfOefIfwImo2boPMzcaSKtz40RSMWty0ePlu9gbMWB3ecY6g3tdu49Y9PCtM1tUQ9fwOEZ+Qs8JRWVbZWzwhaSCCWzeNW5vDNOPJR5qwbNwSTWRZlYsEPI1bNwerXlAzlaDeBiM+DEQS4TcQ/B4wdQ0+m7wGd3w2QzmNsLpR53g5aWUh/t5/Fi54Y5yveMct24pDH/8VH09Y5RqWVyfDKg9qH0S20n/qGsxYsw1PfL/ASHzP/7wI741Jj1Pkv3w6Aw8NnItlBf43nEyg24+w60CaUgcLCW6J0HETZCRQ2f1O926rTnI2wa2Ojds0HGO2Ce4k4YIQKuli12wMLj//+W4+Jq4owu397IuXaz6YHJrZjnRUb5VdT1brWVdD06tGZzpq3udT1uCraWt9xyO3cSvXuA0CVxu3THXONo3bNJn6JDKY5rgQyQm54scjutCrz3AFAR5CG7eCrn5TabWHVMx9RK/zagBYtLFMEFKPB7+eAwB49qdF2nlIN9k1YsuhssheWuY1ibT8rg2XFZSj7/hVeGnoUu1n/aQ8d12Jj6fDw2YqweNYEJad9EyDBLdEpPBj43byyiKc8PyowGyN+sX+bl6FV8FLbnkDXqJDjYbGLXus32zMbHQipxdxCzj08V/xzm/mnaO5EdQCQfWYfzI8+w0017neTSUEW/eKKmrwxPcL8O/B822CaVVUbdymw/SJEzebU/ZNpSi08fQRlsZtlIRVRPBMW1WM5RHRphERxMJJ1J+wXZ9OqkE6a91YUoWjnh6Ox7+fbzbiNPHpRL52qMoY7bcso6Jxa8q+oladDHnIZNN/c9RyFG+vDS8zIZDNNvqJJvbo2Dr5u6zanwPlbSG1oaIMbbv2E8URk280M0hwS4SOpSg0cLNxe0e/6SisqMHdX8w0ljc3vHY0XuU1wWncqk1TG9LgHEsHr+W/psi/85VXhi/zHYcuadG4VRHcKgopufF7HdQDfvfKWkaL2KfSlax9s/eioMEOOE89hJaNUCABavhEfbNAlD3LstBn7EpMXFHID7CDdcWVuOaDyTjv9dTj20MXbML01cVpP8XBq/aytvDd7PU4udcoLNhQqpWO6MtGUeO27/h8VNU14Isp/k9dhMHTQ/jaoUIbtxFdKOvkyjlemapKOnWSV46mq7RlWeg3aTWm5he5hu07Pt9w6gQRfVrl5SZ/byyp8hVXVZ2+8oYJorImYFEZJ9h8R/AVmhUkuCUihdTGbQSdk+lgN6Dv7bm0aFxK7kdB41ZXO5RHeXU9hi+Ua2ZH8dhGOo7kqQzS7ClbbRu3njVuvT1nEtlijtX0kQmiQjGV4Gbj1mInXep5qqptwJ//N1Wo6ZUJkAdcfwyYuha3fTINVbXuC53a+jjeHrUccxzHASPQtKWI+sRhCwvQ+9cluPGjqdLnVxdt517P31qBu7+Yhav7TEaPZ4ejosafllCQ/OPrudhUWo37v5yt9ZzoVIHFOjPRaIO2eRTzXUor69J2giHTEHbpgrL0Uoph9aKpGremYlaPKB3VbuyyrXjqx4W49sMpqTcd6WdbO7DV7+x69WbJtFXFWOtJuabp4xdV+NNcrfYhuPXTBUVFcKtt4zbubQ3hJ81shQS3hHE+HLcSvX9dohyebayyTsvNOVmblnnKaZpCSwBrO+IXLTufqs6p0m3La2p+EfqMXWkrL11HWiJMex4NTmuMv6AymZ6qY61keGZ1lK5FQpBaeVW1Dbijn7sjFpkwX7VeNngUkvrBzRyA3XyDerz9p67B+OWFQk2vTCDHthHk/j3WFVeista/gC2KG0Ne+M938zF66VZ8Nnm1a9gvp63FqyOW4Yp3JwafsTTg13P9BkYrqLK2AZNXumvThU2d5nEEUYsy6cxkeUE5jnl2OG75ZJq/iJopKkN0czGVYAqd9+GN46bLQ+uUWPMYWpRpLvKeoooaXwLD5sCygnJc88FknPHyaO1nRZt6XqhU2IgOgsgIbjXLL5vNraUbEtwSRnhj5DJc+d5EVNc14IVflqDP2JWePBTLGrxbh9amZfqrs073ZB9UdNII3n6TfcNafOwr3Rq31344Bb1/XYIf527k3vczOLtp+UTxGCE7OAY1wKsIE1lBoG42vNbhIOcCn09ZjaWM/Um/AlXR8w1xCzf0bdLOi4xzMo9a/VHWEFSFrctubSp/awVOf2k0zn5lrP+EQ1xcT8kvwvmvj8W0VcXG4lSpC/ke5gRRZruiAF/UpMIU3nvVNNe2CS14dxNOKhNR9J/aaNpg/HK5yYps5dtZ67nXhYq4Gt8mHrc82YRPsKZoe8ppOq30HWGNmUrQCMvLrum2LfMl6JyrNpdNQS9Ecd6uwqbSKvzuuZE404PAsjmxeJN354K8scErrKkEXUGkn6TDdHTYMte7DMWLqYSq2gaUV9cl/87Mlpt+SHBLGOGNkcsxa22JbYKocnQSsA+0fuQYbVrkugcyjUYn63VQMeHUTCsN3iR0xzywwUXbpry6DqWVddIwXli8qUmoFvMhNFTl6R8XYsEGM96JTWI3mxFQGi73p+YXYWt5k+M2XQGyd7vQwQ3rpVX2Ous3JVGRLNlsr1NROdJo3y03EF/cyhjv7DpmPybssGW6ucyL1/XocN2HU7CsoALXfDDZWJwqooLWojE6Gs1AG9WNC/FJdfudsDVV2G84dMEm7liuKxIS9dum+xxCH5Eygc73uPzdiTjmmeGoqtXv70cv3YIzXx6DG/pyjv8rEoRzMsuysKU81TntlPwi31r2ntF4r2yz/uPVDF2UGLdsKwCgoIzvFDlbaOFDeGjy29c3qI9PSzaXYf56PdvvIsIU3LbI1Tt5ycLmW+UdLMtC96eH4ainh2e9lrku6T9bTjRr/NqhdWvwc9aVYLcOrbBP5zYp91jD5FHEhNfF4IR1asLzeolzMsuycNTTwwEAi5+9EG1amvse2wULZD8LXdnc9tNJqz3HGyRebZG6oWo3ePLKIlzvWGRp70Z71bj19pgnvJStFzMW9X69oCmSI1PXgdM5mf+SvuaDyVhbXInxj54V+X7ZbvZDHnbX9q2Sv+sb4sjzschodmtrBWlBqzA2Vw0gahKVhjXO09nHuX2tu7+YhaP26YQh951mf05TKiTW6tSKhnmOnUcRfjChnTh/h7O6mWv0tfcH7NCUnrFmm+f0g7BxO3DGupRra4sqcd0O+7Kre19su5eODVjZaznbUrMbW7KAbNaSZsl1mavKiAc0NsjiaohbuPCN8cbSClPfoUVeDuDRRASbb5VljWU19d3rt1Xi4N07UAtQhDRuCaN4mYzrON+64t2JOLX3b9x7YewyezWVoPNgWnaTFb+BTLuSvbfBp0dPJ4kjqZW19VjKaC36mS9nolZCOuqCTOg4dVWqDUZt52TaOdrxXBp3ov0mpVomaZLbuk6IZBsCCzaU4tTev+GHORuU05uxZhu2lNcY00Lwg2VZ0g1Fm6kEl+/WuW2L5G+nljbhTusWzWvKWedTYONcrIetLeYUyiaEcvYwZtKyaehE5ORB2OUfJn7H140l4ZxC0J1/qPDR+FUp11YJHAwC/Hmo6fmlzESJM/lMnNv6wa9jPSI6sFqfupqYXpQnhHEp2myt40ha/TknC09yy2o765Yeu/5X2RDkhaC2q0bzmkUToeNfU8172tGfdHubXNjlvWZesnh7rW2xpKpxp2qT07SQrbKmcQC/9O0JuPuLWUxCRpOJPF5tkeogi7Z9q9RDGvo2br3lO8j2nSpA8dCPeXgmXRq3bjNJmQmOfw+ehw0lVXjgqznayUahed7QdyqO++8I4bF2dpGbaFMiMz86Ql4ildaM9rWpMcKyrMg49PBP9N9Dd1Eq+szsJ/M6HyL8IdoI9lLGbs6DgyIKbT8ddlV1hLHZpr1JQ3HzITenSSz17ugVWs+aPI3hUc/KW1o23yUBJyahhUDbWaV96Zo+sq9fs6u/8ktGCW579eqFE044AR06dMDuu++OK664AkuXLg07WwSDX43bKEzCdPBqq5Y1yO3+nF6H6Mbstdtw3H9H4M7PZ3DjlTlakH2f4u21yd+mP2NiYrxy63budWPpRHAGKNJID0pwe/9Xs4XfuWPrFinXdLWleKFVdtbT+WX8Fq2qMyKJ5RGjuC3kZB5htZ0RMUShOU3OL0JFTT0mLN/Kvc/OVRN1+dj/DneNN0TFiIylFaNxWy/YONTl3i9n4+Reo5qFo7x04rVZ65pKENq4jfuf10RxvM4kwi49U/bUWcIQAaRj2SI3leAogwyVg6zYUo4VW/zZEKY+wSybSqvw07yN9lNZcQu9flmM4Qs3G0+PFR5OXlmENUXbQ/mmqm2aN77p5lbn1HGQsGO7bpmza8bevy5xDc8tN2q6SmSU4Hbs2LG45557MGXKFIwYMQJ1dXU4//zzsX27+AgLkV78djp+ng7Dm6hOmmzIu7+YJbTbKsNEp95vh/3WkYu3JK/ZjhpJkpAJbi98s8nOj+lvIRIe+TKV4P3R0LAfaTcXL1u845cXYszSLdxw7bgat5qCW07wZ4YsUngufe1b9E6yBZEXjSUVoXevXxbj7FfGaG32OHFbyMm03zq3bek53WjBLwRWqJ3o36rr3KWyfvviTF1ci1B5HbaseeVX1xDHkLkbsUXD+dvP8zZhS3lNIIvIBKIvrfoJRX2Xsw7oVineMU1V7Ju16glra9wKrnu1+a+a1dr6OMYs3YLK2nAF+vlbK4SmWt4fsxI/z9uU5hxFk8kri5JzYp12kHLyQaFjnb66GLPWbhPe1+2bee3HdPfOy5PIXE8mDi3VdQ0497VxOPe1cb6OyEeNXr8uxiOD5maUQHn66mIs2thoku5vX8zCvQNmo8/Y/OT9n+Zvwgfj8nHn5zONp836DZixZhvOfHkMXh+xTOlZr+YI+XGprYlNfFY2ijCV12y+TjSfZfvhhBNfGRnUHCJHRgluhw4diltvvRXdunXDMcccg08//RRr167FzJnmOw/CGzbld8XZg11oGE5rXrChFA8NnIONmrZZvWrcAsDyLRVK72sbiwwUD89ZkNuOX+JbKmvcGtZGE9UlX87JOJGa8EgcJPa6YKGooga3fTINQxf4E1o4i7FKMHFm7U8l0J5ocIJ/OW2t62PpnM94ScrLZoXT9MjHE1alhPlgXD7yC7fjq2mpDlNU0bJx68hTGx92Sf20z8Gz1uOloUuMjQkqPi/czB+kWzNieUE5hgUokDSJvrCD/d34R9/x+bjvy9m46E19Zx+i9E3YT/Wtga8Yr04yIxcV4Mgnh2IQx5GSLol8qHxD7SFS8FK2zSKt8lVbUL80dAlu/WS63bRSmhmxqABnvzoWN340JeXelPwivDh0Ce4ZEF7+RH1rGNPw6/tOwW2fTNd+zjnXdKueFTX1uLrPZFz53iTU1KsJCJcVlOORQXOF99NRXs656esjluGYZ4bjhzkbUptYxOexPFhFFu3TE4pH5LfX1Kf9ZMYHY/MxaOb6lNOCKQT4ycYu24o/vjcRywvctZm3lFXj6j6T8Ye3GsfgOetKAAAfT2yamxaUBmfPmufv9a3f1Ewm2G0dm2uUsrhMpGIzlRCqxq33Z7VPXnKDkzRXhYwS3DopLW10nLDzzjuHnBMigduRe7dn/Kyx/PR3l7w9AYNnbcADX832HokLzoX++m2VOPGFUXhvjMugZLgva9OSI7hVSG5reY2yTU7TQg2RQDXDLGv45idGOyduAb1+XYLRS7fi7i/Mbl7pHI/X1rj1WKHTqVHvpf4+//Pi5G9VDTt2srN4Uxme/UmseexnQuf2OWV9sCzZIG3pPTRwLt4bsxJTV+l7K+chqtNsvdLZcEqHqYTzXh+Huz6fiRmrzZRBlGDbWN0OmyGjdpwCKWI2AVXh1cWPxuejx7PDsYRxaJlu6hri+GLyGuPx3vHZDNQ1WHjkm3menveqXaNrOiVuWSivrsM3M9fbNASD8gCe4PMpjWU+bhnfREo6GDC1MQ/TV6dqdyY02sLEy3zdcA5sf01T7OdYIZ/uuMhqYG+vURPcXvneJGwprxHeT8cmHtvuqmob8Oao5QCAx79bkBI288S2zmPaes+qKLfUN8TR7alh6P7UMF8nFbTyxWRGdZMgCG75eBpmry3B3/q7bxKtFygvpUupyk8yJrOo2jeaaPtsDFF01GnB/fvrKvCw5ZaB+0yhkrGC23g8jgcffBCnnnoqunfvzg1TU1ODsrIy23+EPptKq5Q7bdVOTBxf6vVcFVUpBQbPWo97BsySHsNZsaVCK06drsr5yi8NXYqt5TV4aai6nWYjGrccDTqZV3kA+Gr6Opzw/EjMWlviPwMeENUAP8I802OFKCd1DXH8On8TCivEE39VVhU27drHd2jcmsD5yUWLc54AXd85mV5453MNcSv4SaSH6Asr9IVN7EbIVsnC0C8iAevQBZvx6DfzbIsKZ9nqFoXpb7PNgxCPR45gtsNm11XjFvJ+Ugcdoffizf7s/qUDlfexCQuZ4ttQUoV/DhRrtCmlz0n+uZ8Xo6y6Hk98nyrcSBefTV6DUUv4pmf8mkowRaIuB7F+sgD8+9v5eHjQXPy9f9MGo6W6MnbGxwnK+/aeTk0Y/gCy2LZyxu5NpVVpEyo5CUpbTZqmIBm39Hv92rRJ6hQYuAkBWjIqfarCNDctTd4cyPTpLTa2I54carvhwVpE5GCzrFv/VMbi8uqmb7it0sycwg3VLm5zaTVKK72bwlKlxNB7B1m//PQ83k9x8PKhKMsw3F2rOgAPghzBbu7KLRU47r8j8OG4lcJndTfQBKotWnFkKxkruL3nnnuwYMECfPXVV8IwvXr1QqdOnZL/7bvvvmnMYfNgwNS1OLnXb1JNMC+I+ibupNxQmg8NnIuf523CF1PE2i9+HPG44RwIlAcGg8ICwO7ZO5mGbcDzn4Yzn5Zl+dpJFE2CPxybj9WF3mxcp2ty++G4fPyt/yxc/s5Eo/Ga3Jl11kWdzRI/O60JVL6FZTXaLTzjpdG46v1JWmnq4rdoRU0oReNWIx0/1VVUvnd/MRNfz1iHTyc19Ykm391EDTVVy0V9iFdth3QeaTO0d+mLYQs3o+cLIzHNkAa0sx/4dtZ6n3Vc/HRQ47qKcEZmS9OJV4HZ+m2V2s+wOU98C9aOYYKZa+z51y1Ly7Lw8/zGkyITVxQxaTJhtGJUT9fJ3HUlWFesX1be89D02/mNnOPm9NXFOLnXb7juw1SzCunGRNc2YXkh7h0wy9Pmslv6k1cWCe+5bSCxcdcIbJnrniRJh6Bb1OxinPSDPAkTFDG75FYL+5wjGhqLgJoz4dLKOpzUaxSe/2Ux935USNd0x8+6xqQjb1UhsIn6ZjvxFqaNW+Y3W18/nbQa2yrr8MIvYqdjuifQ+O0hOm03ymSk4Pbee+/FTz/9hNGjR6NLly7CcI899hhKS0uT/61b598WWLbxwo7B5JOJq5XCq3Y6Qttaitf4caqFk+226u6Saw0OilqNsjRMdGutW6QKbllMjBv2Qc/C9X2n4JK3J3g2vC4SXHw0YRXOfnWMpzjTRcJG5QZN+8kJRCUWt8wNc856HLcs9Pp1McYvtx8z5X0GfVMJ3rAsC4s3lWFDSVWK5veklYWYzhyzLKmsxUfj87WcHNnzGMwEwrmgUjU94jtdl76G1QZP3XTRS4sN7vZseXWdqyDF39G5poeFWvvspNktMcMbXKoEuaFY3xDHHf1m4P0xYm0KALjr85koKKvBNR9Mxr++mevpBIF9YaD9uGf8lp+fx3PTsEN42oujfT1vWcC64kqMXFyQcu+d35bb/ta2ZQz7RuDqwu14a9RylDAaZjpNSad/YVlTtB2XvzsRp7/kr6y8MmyhvWyd/UfCzrtTUB4kfk0lyPrAm/43FT/N24TnfhYLpHhPO+1wFm+vxajFBba5o2w8czULxPyuNaXdnIa+TOcUVGZq3DKmEjSfjaq4J27xf7Os2Kp2yvP5nxfhoa/noLY+jplrilHP1N2lm8txT/9ZSjZso46fb2kJfgeJiXkMu97gKQQUlFWnxdQG25foruu0NW45XW9ZdbiORDOFVBfhEcayLNx333347rvvMGbMGBx44IHS8K1atUKrVq3SlLvmidvidF1xpc1ouWon5hTsNf3Wyp4N2aP1ihM0/UWJPdUxS7dg3vpS3Hf2wSkTKmf+vMyt2LIau2wrvpu1Hs9c1h2d2rZQjoPnYMq0rTO202+IW5iS3yhUy99agUP26KAdn2zh7X3gNDu7VdXkKa+uwyOD5iFuWditQys8e3l3qYar6HuYtKvmjGnQjHUYuXgLPhibj9W9L5Y+qyt79GwqAfz2WVZdhxv6TgUALHvuIrTMy8E/vp6D0Uu34puZ6zH0wTO000qXUIktuyCTZIut77h8LNlcjpf/dDQ/TykfSHNCZrNdKX/2+OdGoqY+jjEP/x4H7NqOH5+PkmG/o4qNW52NJb91RGesCVLjdujCzRi5uAAjFxfgb78/COXVddhcWo2f52/CnHUl+Ojm422engFg4IxGe6Uf/Pn45DVdx1ZcT+w+3lP2qMhMhip+ulpZ3+68E6aphO21/EVTyrzFgxO61i1ysL22ceF50ZvjUVXXgEP3aM+kYf7FnWW5eJO7qTTTuWDjC9PGpQi/5a5SX3Ud/j7140JbvJe+PQEbSqrw+MVH4I7TuwLw1x/a7I4KNG51SYeNW6HGbaPKrf1a4Lkxj91JtXv4+oY43h+zEqccvIs9vMKz6dBIrqytRxFjPstvHek7vnGdvXhzORZvKsPdZx6Ef190OIBGx37F22sxdVUxZjx+riQW/dMS6UalnKrrGhC3LLRt6RBhGcyuqha3ERu3EgH/soJynP/6OBy0WzuM+ufvfaclg60duoJYbedkjjIdt2wrauvDMROUaWSU4Paee+7BgAED8MMPP6BDhw7YvLlRk61Tp05o06ZNyLlrnrg1xT//bypWFzUJrJRt3AoGad7zJgaP/lObvNbLBu36hjiGLtiEkw/aFZ3aKAhDHVm7dYdX3LMO2x1HdelkD+pV41bw+5aPpwEA2rfOw3NXHKUUV0rcloVYLObJHEPiWf69pt/sAODVfk+6JqJ+6tropVuxaGMZjty7ozTcO6NXYCjjKb5n111w2TF7i/MkaIXO73T9h1Nw4oE74x/nHcoN/+g381Aft/DqNcekpuGIi23T9ry458MN3vuofN+4ZXHbTBnj8KamvgEt83IwemmjpvASj7ZBhc7FONc2l1ajZZ5dMqRaJKyg0K3u+ekF2WJLHMm76nf78NPx2d3qPF6zY6I2Ob9IKLj1A1u+QsEtk+Ga+jgufXuCMD723byeHkig06cFqXFb7RBenP7SaJs25MjFBbiw+14pz+W7ecl2wfTmiKyMZPeq6xqQE4ultGFTyD6dswhUNPDLq+vQvpW/qXtdQxzbKllHYerCDC9Cj9YtcpOC26odPgaWFTRpmmlp3CouqFO2n0JWy3MTEoZ9vN1L8aiM/X77rsRJped+XpwU3MrKyi01u8YtX5ium2W+jVu9OLzCK99M1LjVNXfw9Yx1eHXEMrw6ArjrjK4B5swbJz4/ymYbWdVhrRuJDag+Y1cmBbfFO/wAmPCjYVqJRz8D8tvxuIWjnxmO2vp4UlGj6VH1+bR7NtQ2Ekxv2jjznXBIvdLnfEsJpi7qKuTom8yzJ/vSMLEZBsJORplKeP/991FaWorf//732GuvvZL/ff3112FnLbKUVNb6WmC69UlOAY9qZyk6/q+T09r6ODaXqh2FZj34yiYF2yrrcPcXs3DzDqGoV6o52hUp6SoO2G4D6aYSb8fB2fi0jgtL8tJ0jxEEMwNAfYNHwW0AM9EgJrcjFqUeNXXidEJV7DLZEpWz8/rk/KKkp2En5dV1+HrGOnw7az0KOOYDnEmI6gCvfWsf9/eqcWs5/268wC5ceF0d731100rw1m8rMG99SfLvsupG+2TH/XeE/XmR6X1HnUuUnV8hoJNRiwvwx/cmIn/HMTzeQrdO0Bbjlj/nb6r9RzoWl2xeRFpabG5/W7IF8zeUasfNUlFTnyx3UwQpuHXGXOJwklIj0IJwZkk3h6YXPLIiEo0fdQ1xHPvsCJzw/MgUjRF7G1DfyHHiNJUga1v/+Hqu9Ljr9NXFOOrp4Xjcp7O1S9+egLHLmszgyL6F85aXqtjKRShuWj7wzm/LjfepXrB7lY877gWbtqrd+Kbf+hlSeWLW2m1CbWNemjIN9ZWJ8Uza1uXxs5ecm1Ze4RWdaUG80FQCeFrxmSe5tfW2ChVrObvxI4gnTJwO7fx0R2FovgLhlKVbmtX1DUnNTOfc3qRZQdW4THya0IXlO/CjcautoRv2TmoGk1GCW2vHgtL536233hp21iLJ8oJy9Hh2BG7o693Zgb53z6bfUk0ToTCKM9ESxHHZOxNwUq9RSaGsycFt7roSpXCiFLeW16Tkxzlwe1mMW5aF6auLfdkyYid1luPfxjQU8yK5x76rXePW20Q5A+ehSXxrMAqe9zrw8bxWO6NihRiJ3XyA/81FAsDUNCzMWVeCylpvR0bjlr0eJLLILvR4i3Uvx29kRXtHvxnJ314d4yWoqm1A71+X4JhnhmPdNm82kHnc3m8GZq8twYNfzwHAbz88kykAMHrpFhz73xHJTQjdaqZ6bFG1SftpP0p2EZkE3OqKbYNLEPTcV8fi7FfHYoGLAFhnce33qL88H8HF7cRtgRKU1uG4ZVu5Nnw3l1ajqq4BpVV1SU1QWf684BREsfHy3vbFoUuFcb02fBkA+wkiLzhPIuh4xvYiFHKzq6+ncese+JUd5WR7jvktsufsV5ApI5qmElKprY9j+Ra1+aXKHKSmPo57B8zG8IWbUV3nXgZ5OTHhuqOyxv15m61UTjReTePIMCmEWF24HR+Nz0eVY54kNpWQwZNjBra9rSmqxLmvjcXAGWp+aT4c1+RUUeVThOHAzJ/TLYMZ0UpXpIAQXJ3z05a8rGNFLGJM68jGAuMatx7rZvH2Wvw8b5OvccZm41ZXg1bXVIJNWUzr0awnowS3hB6DZq4HAEz14QVat0GpdjpsZ+e130ssPn6Ys0ErX+k4kvb3/rPw2OD59jx4fFE27+u3VeHqPpNx3uvjfOXPmScvdoZl78Pea2jwP1EOwsZjkLVgwYZSXNNnspKjEVGJfD5lDc54aTRWF/GFgzpFyW4S8D+beJPhrFfGSJ9V1aIeOGMdrnh3ItdrttpE0HJo1zamyz5pamPg2g8nCxeZrOBZVRtaxPbaBvQZuxIVNfV4W6At7YeE0J1Xui1y+cP/F1PWoqSyDn/9rFFAzXuVH+ZswKQVhb7ypjr59zOn09W41ZmEi8Ju3qEFMowxh8Kypawa/xw4N0Ujx4mKmQe/xGLucYuKxDmOqmRRZNveBG7Jvzg09SieTYjqiMCeO+/l72br3kmezCZuQIPWqCUFynF7yYKor0ngdbHKFcwJT4s0/ebVBSemF5MpGrdmo09Be8Ntx783fzwVE1cUGU1jxKIC3Pn5TDwzZCE3TZZchV0q6dhh29zlSm7l9z3Aq3Oi/t+N378yBs/9vBivj7RvPojWLbGYGa14P6zYUoFvZ673eVKn6fegmeuwYksF/vXNPEl4vbTClm/70rg1lw0twhCouX3WdJgtqKytx887TBS4Ydo5mddXuPaDybhnwCy8NiJ101IVtokE7pxMVcODSIEEt4QcP9pWitG6dVpucap4hg1qx1ImtPpqun232BnSi0mCfI6Gn+6ExN45p95Xt1MsRqRxq6qd6SQIYTuv3JZsLsffvpjpO+4bP5qKaauLcdX7k1zDior7ie8XYG1xpXAg9jpJ4QnPUzRumQulVXWQwdPg5TFwRuNG0mYPpguAxjzGOIsy9nV47VGlmJxVYVNpNb6eztf2YMtPaFJCMR2WII4OJaLka9x6G/7zt1bgga/m4IaPpnLvK5tKUEzP12KQqZoq9rjd8q5jC1w0Lv3r23n4dtZ66bOAfRMiMMEtVLywm6uX9vITZEgnPuYbeNECkm3omlpYOOWwbvU5V6AJ3xhXMPXgjZHqm0ZesiA7/g5Aq3jZoFvKU80MiU506J8e81/v2SicNm7DFrY15iH1HROOZBNMW1WMv3w6HWs5du91i+jLaY45sUDw7sxD8t6Ob6iq3cUL5XWjTjedDSVVShrGIpwKN6Im1GgqwbnNlN7KdO5rY/HPQXMxRFHYxYN9B946oaCsGtf0mYwf525sDC/aNI+oEMjPPCa9phKY9XgIZeknRXsx6cf07JBFuKHvFJtTObeY/GhSJ+M3sJm0fEuj6ZCf5npvg+z8QlfJShb+teFL8dQPdvNOccv+O2wb75kECW4JKX5MJcjD8QVD7PWa+gY8tOOor4yE4EjW3wU1/FQKPDErZcKDkNu0BDrxfb1MZqXlzWrcMpVCVcjnjCOIo8KigeLXBd40JYCm8nQTdurQUiBgazQVox+fyvcVB0m9obJxAvjXcI5bFvcYpM0Uh8eNgeEc28TOo9O86yZbo1fHfSrwhFoyzT4W56LBTfDOBl+yuRz3fTk7afPVzyTXy7Ns3SjeXiuwecj2VRr5cWlHorqo6tQrPRq3Maw3aKLDDRMLFBZV00wq+Um5p/C8SpopphJsEaSGl7XLnCCOnqDxPUQxj122FeuKm4R2XupinkQYDXjvR+/7chYA+1jupskugy1e0zZyvZ4GCRLb1oTgda/5YDJ+W7IlWdb2582PWaOWbHENs1RiKoytadNXpwqAVczd6CLqy3yN6Y44RRtTvMthaZfOZ+z/a8O8blvGtEpC+N3rl8WYtroY9385u3HuG1EBrQhRVVA7axYOYZhoCMtUgmVZ+HjiKkxaWYQZa4od92TP6aXDjcNwfF7hKcaoIgofj1t467cV6Dd5DXr9shiDdygtmNAyzlZIcEtI0dWQVB1M2Yb6ycTV3OufT16DwbPdzSDU1evl0eSkZruGvU5n2XgZoEz0b3bnDfZ/ddKQ5d++m8YK43UEt02/m4sdLx5u5c3aWmLRWRO4CeadV0SLVj+mEmShVCevOZyJBSvQq+OsxCxYWL+tUroQd9p8BOSTiYQNbLGpBAuDZqxLOS4pq8YNHoXOXlFtUtLvxomDDf/sT4swZO7GpLNHVpCqnL4FvPDLYpz4wkhtR3PsN7/7i5l4aViq/VD7pFn+DeyCR3naok0qVdkbO/Z6VI52JQbgZU6ZsKgOUyp9tM1ppRHBLVOfPDxv+/aOmm5qMeEUdLrFK9JOra2PYxzjUMwkbsJY1oakl3J207jV0ShjgxaUNWrcst9OJLgVJbF+WyX6jstHeXWd3f6/4e7YOU6mS/Ak0/rUeccNJakbPFG3TfjB2PyUazqnJlQRReN0TKgVp+NvUVQ5sViq9rbnVP2hYuZCBPsKrVo0xZNwFsq269NeHI0vpvDtfIvnZJ6zZgRfAsmQ8i5KN6j6VVPfkOK82Ym0KJgM6xYZu5Zv0yJPOVEzJzPE+dYta3+a3U2/dZQYROEHzliHk3uPSv79wbh8PDRwLuJxy242K8M2YcKGBLdZQro87NoEgNJdKoFgiPmtukhX0eIMauCr1NDucOZBNUvbfWiQuNGUJ3b3q/G3n2NebEfMah00aKg4+F2UuxGELJhXz1yPInusnDoTBjetQtVjm7wUdbSoRSjZx4xbXOdk9slGag6HLdyM014cjXv6p2oMybBgYeSiAnwzM/VYe8K7tagVbyypxiPfzMNdnzeZ3WgsJ/GLBqFxm/juXAFrQH0irz4ntDqVnIU544OFD8flo7CiFp9PXiMMN2JRAa75YDLWb2vSDnS2EZ5TIrf6I8JNA/gzQV5V39tLWemi63le99mUuJjfJuYkfstIZtvd1GJCV0O1hUD48fkUcd33i1sORy5uOpHg5bu7afeb7Is2lfDnjaIkLntnIp7/ZTGeGbLIflTUxILcdvw7HI3b3r+62/NtRH3TqumavzLSfVolObYf4FU7N63/hrjF3ciVIerK/PQhqsJY3vWw9BxUT/HwEK0dr+4zeUfcTf0ibxMh+azm9XQhmq8rbXi65F7ZPrnmeJ9ugdpFb4yX2jUGHOtCqV16O3UNcfSbtBortlRw729jnDC3bmEfg2XlYKKEdJQHdOLSf9b7phZvPvyvb+YlN1dZGizLFj4eD98GdSZBgttmDNsOVJwxmEDZ9pREUy2BqiAjcVQ7nYNMwnOjyJ4aD+frqHSMm0urNSbeavAMkPM0yQa4eK6WZd+mccv8oTMW+D0G29zREXywIbkat45rImED7/t9r+Ac0ASW5fB6mtC4ZTLFWxwnhHVDNZ2FWBZwx2cz8PCguSn3EhpkovpsM/8St1BQVo1uTw3jxpUgiM21RIw8syCqbVEW7uOJq1KuyV7Dy2YMm37bVmLv9H/9bAamrSq2OYVUKVM2hNuYYxM8epxgq/Zl9WkQ9KT7JANbZGe+PCblvr52ifdnAafGrThur1iWlaIt7TZPEdm4XSI4eaELd44WczkNwArIPZS0qwM8jbh45cfm6ab/8W1vixbECQeOk1YUBmoqwRlfurQkB83g22rfkYumXx5eN+oat7x6x45BvPz3n+plg0SgiOKjfJz1XNSGYrEYR0svnAmzH1MuImWPBC3yDIorQqi3QWrc+tHs9pOuaXg+XBIomUQUCP8B4KPxq/DUjwtx7mtjuc+WVzcpSKVs4jJ/ry2qxLCFm5PjiWnfFH6j89XneFRiAPTmwyljYejbKpkFCW6bMWxTYI+6BYlbW1+8qQx//WwGFm/mL0K8dBwqHbpJFm8qw2GPD8VTPyxQtu8JpC4cVPL7y3y7oXHT72g5/gWaFnZutuJknS07mLHfUSf7do/w7hOT2vo43hq1HPP82NnyiZfP4/Wb6jzHhl3DczKiGg8n5Jilqcd3G+IWHhk016iWmAX74tba0fTYesIz21Bd500AJtuESgi8REGe+3lR8neDZeGLKWtQWx/HnB0mFrzw9qjl+HW+nuOBRNHwTRoobrJJ7pVUcmw5Sx6wa0gqJW+rux1bt3ANv62ySXNCSXDr8fi+13arqoFZb9vwCmZwS7d9PdOLHJn2jQpeF4HJNBXidwoz3IpApLXWrlUe9zrLpxNXYcxSuY1QnjkZt/ewfTcvGrduNm4jsG6LxWK2b2WizbFR1IUk5ZSl6vsVBc8H6UzJ7Si1SptMwOuPvDj3ER0k81MKqqegeGSCxu2W8mr8+X9TMXRBY3nbHBpzCrSFSx+S4PvZG7gb+Ol08DVr7baUa0HuwwZl+9zPeL1oYxnu/3I21hSp2fR3I2FmT+aQ1G5yoPH3qsLtWLChFBNWyM0MsTbIZfPGM14ejbs+n4mRi7ekpOkVtz5JB1M2gv06J5OVS0PcsuUzCuN/JkGCW8IobsKA6z6cghGLCnBDX4FWhMuuKw8VO7ymdnRKKmvx5g4PzP0kx3Z5vOs4pqt27Mv+N/899AZtntai/XhMI+526WQ3m356PQKuu1bsOz4fr41YhsvemagUf1S0eL3WTa0Bmgl69xczU2/7WCTwGLW4AINmrscT3zd5EpVFqaIh4pwINGncNl3jOYBJaMfrItuUSWg4sEJClk2lTcd1vTpMc7K9tgF/82DuAeAfGfUqR3D7VtINHaZIVQXqrDO49grCK1t6use9XMKLnC7qoNq02PhVk5q0ohB9x+UrLybUjk6qxTV6yRZc3WcS1/t8U1z+88PiV3Br1zhs1IxPLPxtzjO8RL3jOZmgnteWROOuW92fuaYYTw9ZhFs/mS4Nx5svuWle2zVu9XGzfak1Bga4yGPfzbzGbTimEpSdzRqMW/00h36q7KYoD7Yqu/UJiW9cU9/gyySZuBx8CFEU52SxWHqFkjLYvmv4ws24d8AslFenbu5uLq3G+a+Pw/jlhbj7i1lYsKHU1ZyXyISMk5eHLcUnnJNAbAn9MGcjTu39G+avL1WKU5cr35uUcs1PfxKaxq2PZy97ZwJ+nLsRf/1shns6loW7PpeHq6t3V9Cy2U3d8fusV8bgkrcncBVWbPEz46KzPfOSTDgw8zNMxOMWpuQXoYw5oTeaowijg7/NIm9KDLzwsvreYFncb0WoQYLbZkwYcimbsI2TAfYIsdvzqs56dG2HeS2Xr6evRY9nR9iOXOtMmOY6tO1UnjXxDatqGzB9dTG3I014i+bZtvFzvDEuGAD0TCWId1Z5TFuV6kFYRrqOkwU1KJlcVzoXzkIbt4ppsseOTBG37HWSZyqBJyT1Wk61Ekd6ObHGxR5rw1ZEfTyuqNkY3OyFV9cHeDoS6o6qqQQWWfl40dLlPSvCfspDPW6vmg1eNG5V0qpriOOGj6bi+V8WY67igjTVcZb6Ozn75BlrtmH66m14+BuxORDTNZyVhXnpz+0OMoAL3xiHB7+egw/GrjTWbzsX1V41bju2kQtuE3ak3eCZ4FixpQJbJJqMftog4K6Jp2piyw9u5b6hpArTVzfNIYzYuGWiYAUDDXHLtli3LCuQjeTquoaUPvC3JQXJzUy/byh6Psiv6eb7wl6OchNBid8n9/oN3Z4ahsraeqVJt03AEReP3Es2l3v2FWGhcQ6SeF9R/8arN6L5cjxu4Z8D5+J/E1IFmyZg2/mdn8/ET/M24e3fVqSEu/DNcbbTOpe8PcExDnM0bvPUG8j45YUp19j4n/9lMTaUVOGhgXNSwj3x/QJc+vYErQ3/SSsK8YOLyTBfgluXFqWq6VxRXY/JK4t8mzRU6asS85eVW901bjeVVmPYwgJpmOTJWkkY2T238ZEdF53xyOZFKqbnnJRU1qLfpNXoM24lrvtwCv7oEPS7nSqQYcpUgu781lm/ZeNnQ4PF1Y4m1CDBLWFj2/ZazFxT7HkH16+aP/u0qqZmIklpaAP9wqPfzk+55mt3SyFM6lEQ/XRu/WQaru4zGX3Hp5rLSDhs4k1m3TyZywezpt92UwnqL6Drgb6Ms7MvJSoatx4rUdxSL03XkI7b64r5kxzV9AJx/OZIPVGtbIJbD5NjUT2Wadzm5MT4ZgI4pMsxJA9Z3Ro4I9XpGj8OvfxLj0iJNJMk8fkZU1Setder1PAxwV2VbPHKwouNW5UqVFjRNNlPbDosKyjHEoFZIiC1CzRRV0sEWuiAec0wv0f4nePeth1tevTSrbZvXcw4LtF5B8uyUk0luC3CBQPvru1bSZ9TNy3FDyc6BQX43yR0O72jIyQNsjedtbakKR0DCdlOkDHt+ZaPp2Hw7CZBTxCbu9tr6tHtqWEp3/svn87As0MWpaTrJQ+itmDaJAoLry5d/Nb45MY9K+DkOidjvkmizSTa9/ICvuMiEc//vAgnvjBSKEy+us9k3PiRuF3JsCwLV7w7ET1fGIVFG2V9eEzZXvK45Vvx7az1+O9Pcq1lr/C+zebS1LJxmzvxuqgWbgsSF3j9Lq+Wfj5lDeZvKMXoJeqajzd8NBUPfDWHcVqbiqiP432ra/pMto3nbs1J1VRCVV0Dru87BV9OF/svsc9xLO51HVSyptJfJObjsrB+8mvbKE+xwSpG5SDFyEUFmLSyaTPhvi9n46kfF+KloUsB2OduAFBaJZ5DuWNmvqxr2sM5/5CVS33crnEbtyKzHM8ISHBL2Djj5dG46v3JGLvMm7q+3/ma266r/FlJh+41Q65pBvusCQHY1B0T2oSzMTbO1TuOj/Am8G6aYbLFnOhIsdbpfubzq2ipVWk4imtMoHGnvKjC++7mZ5NXO+K0sFTTIzGvSFSEA3oCBP08sPw4d6MwzZY+J9SqOJNOOgdg6omXBaPoEZnGbW4spryQqGuwQrPLEYbIWD7JVd2MYybRPl5C5VmvbYMnKHO+Hy9MUDZunc4ca+vjOP/1cbjwjfHYXFrN7R+dG4O88hKl7PYW5dV1nuy666Dr7G7kogL0/nVJ8jvZFvOC/sWJ1hiG1IWr12OvbnVZVXDrRXjudQxP4KYRlo7NLafgxk0T0m+eJq4oxJT8Jg1etj1PWGHXCAzi7aeu4p+yAoD+O+aCdnMg+rkQFZG6qQTtJLks3FiGaz6YnHI90ZQsy0qO5zKtslgMSh8j8Vjf8atQWFHL1fBMMHPNNvcIBSza4ZBwyLyNwu/Da1qiIUbHmbIXeIJbVbv+rhq3fueZnOJr3cLs3FWmDa6znp22uhivDl+W/NutSrptjDlR37TXipaLKQeovPYrXfNrZp7tn50KILyoEhtEvDUH+84FZdW447MZto1RWX8B+LOH7OebiRSu1J61pH8779mE7GQrQQsS3BI2EkeceQ6HVPBrcNq242OwLYs6hplrinHp2xPMJaTBZpcjX4DZXajEWMKL025buHHUcJ0MSL6PWONWHd1FuUwgEo9bWO3wWPrz/E244aOpOPvVsRq5svPkDwttf1sARi6WH/lxwquaKm2noKwG4xQ3WNyic0vv/i9nC+/Vx+Oob4jj5WFLMGnHgpR/fE+SgNLxRPt78DRuvSy2RU9IBbc5MSVNAp08BTF3aTqNkL6Jkew9VLVOVCfnbqhp3PLTdQsc50w8nRN+3qdXNNVnqzdeHEVUM0c9T+o1Csc8MzwlnLPcTWnKLdpYhqOeHo57BthtMrvVQ11zB05TB27c8dkM9Bm7Ej/tcPJnq2eOGETxJa6XVtVhjEv/a1n69gfFZmrkbxikLVO/ZgPc5hI6dsC9ZsX5nJtAyY/gtrquIUXTUuaLwbIs46abvPSbCdNZ3Pi41wSbGyEefWXTTpTpbZ9OR49nh6O0qk771AQ/De+8OXI5+k1a7Z4Gk0jL3BzJsfXUeiOqSaqbhjqwm5W8DZq1kjpli8dlHqfj+Ez1u7bOyxXe4/VZlmVhXXElznx5NF4fsYzzlBhRHyf6JKxtYLe2rPtdqxUF+F43bVlM+U1L9J+2zaaUzVbv8dtPODnnAjzhrFqarDBfVXHBn1kN7/DmtKo4hc08O9MJ6uNu59wIGSS4zVLicQtLNpcJOxLdHbwEfhsg+3w6nDlc9f5kzN/g3UB94B2O01SCexBxVJJ7PC0EV+dkkre3adx6HAzYQUTlKJBMIPLkjwvw+1fGcO+52V3WRXduzCtHlUX43zUcVcnKfcWWcgycsU4xntRrcQv4avo6vDt6JW7YsVgNwn6wBfsuLc+xnjeNW/4zbqYSVJNStXEbDP57KN0idfMmqxSHj/QXbChLenVWedbrceFEXZu/vhQ9XxiFb2euTz0uxtPGUKwNrBD4oYFzMYyxrc7DaXfRCbc+O7LCy++QuRu55g9k/dwf3hoPAPhlvj3PphUrvS40NpdW7Xim6ZrqIjCRzo0fTVEyl5LqYNQlvOC62+uplq2XPtKvDVpXUwkh2LiNQW5eyY8QgKfNK5vPBvH2KnGy77ilrAanvzRaLw1hG9GKxihs2om2N2bpVlTWNmDEogLh3LTpoeDytrpwO14fuQxP/bjQNezSgqaTWy3zxJPbGDh1W9A5e13Xyahj6rXqkX0e9rVf6nfxm3delWzdQia4Tb32+PcLcPpLo7GmqBJvjlqecl82tus68mO/oag5fT5lDU7t/ZvtqP2aInebslWS0wZ+59NOTG0WJG3cSrLkZ8OI3VjT2Uh0s3Fr24BXLE8/NuVNOUTU3ax1lsMrw8UbG/G45UtInO2Q4DZLef6XxbjwjfF4cdgS7v3cnFhKY1q/rVKqhQbYGyCvLboeq7a8dZ6AfKKaqd2CWY3bxtjcyiJR7q7OyaQDaBNeF306j20pr5ZqNn0xRWzTySSWZWaiYnodK4vu3NfGJU0heGXFFj3bcKr8NK8pX84ysZLXWYGVfhqisnFzTqb6icK0cZvAz7xIdzIsCl1RU+86fiTj4AjoG6+r5SHh1Vnm7TshjHQ7LrxkE9++YOKz3vflLGwpr8E/B81NnlaQ5VddU9sel4ojPGfe3EjVuE0NM355IW7+eJpy2ttr1BaFPFZIbATy8HvCR1q3RUKpHf8u2CC2OymLn63b3KFCMH64tcMgNfsD17jV6CO9Ls6dT+XkxLBYYjtU953fHrUcX09PmKNKfV/Z9wli3ap02oAJslBSFirPq1xPCWdobBGlvVuHVo579hSdZVRaVaeUiBdBQ3l1Ha56f5J7QA6t8sQat7xFgmgKGoRVK3adpqMV64QtU15/4HdWzSu/hKkEvrkJ+8VFG8uSJkZYRi5qOmEnm/rr+l+w2dYXTJue+H4BNpTY/VF8O9PdDILMZIbbGh7QM3+gcuJEJb5ajuDWmb+45J4b7Nwtpa+W7O+Ikqmpb8DKrRWeTk7V+VBaU0lhxZYK7ukKP6e8dNb59XHLtlYjua0eJLjNUhJeRT8Ym+qwCmicaDsHmtNeHI2rOXakWL6f3SRo4U3K8nLdtDib0HY0pBrc5HEhlx6HNUjuhRRtHQMdHC8Obxq3YkTHnnTyr2MD50/vT/a1228S3VzYdjnjVspuZFRoXPTw8+XU5tNtYmzwRH1ZXbgd9w6Y7Ui/iaraRrMu7ALbi4BB9IhccJu6sSWirsG8x3DVtGvq4/jnwLkYMs+fYF6FRJ5EWev+1DBc8MY4tbiY3/bj8Orft6a+QWhz7vURy9Dj2RH4ed4mV43b5VsqMHllUUr6iTZaUy+e8Dvb8Zqi7Zi7Xu2Eh/bGJduPKNYPZ58p6nfmcfLspU67fT9db8peF2qJsLZv7wwjOgaumU6Kg1H1x224TYeCNJXgdzgaPCs4j+uqOPvMGORlqpOnZQXleHXEsqQDW95UROoTIADVAt1v5qU9/yQYV4IylWBZlut7sbf37NQ65Z59rmuvF3/+3zRMW10MNyzI7ZnyeHf0ShR5dHLYMi9HemzdWd4iQVgQphLqmLlfrqodIA7sG3Dbns+88+pkqx0at3mcfLMCx3XFlclTJLY4LQt3fDZDKX2RYEv0WmwfotOeVLqtxNzZ7XkT7dhUlUvauJVstFuOvOu0MbbOpdi43fHvtu2pJ49E4+4NfafinFfHYuiCplNHqjINVQUHHm6vXFpVh3NfG8s9XWFTgtHWuFUP2xCPO+bSCM0PSCZCgluCy6KNZTjk/35NuT7XxS6Y7AgG4L4jG5d0nn6w9UEGhWJuMck8NavgPHrjZyBN7hDyjnYgtdxdTdxKyjHx6cqq61DNDEI6+dcRwq0trtS2JRgUsmyUVNYmvR87qW+I46xXxuCStycY34E0JfAXxVNTZ8asydhlW3H008Pww5wNKcdY4xbw6cTVyb97/7pkR77UBfxONpZUYe76Eu49mamERH5UaIh7t1/Ie5+/fDod134wRWmHu7y6Ht/OWq+kHSjOg1442YRPZudRlKbXTYyL3hyPv3zKX1S99dsKAMD/fT/fnq4gLp6ZgsREXzbhd/Zhl7ylbk/dz/inWmYpGrcBC9BM92tsfv0KJIN2pOY3XrfnVL9d0N/YC05NdRmey8/xdywmn4/ojCUqJjNWFW7HAoFZLr91zbKsFM/kSs8x7+9l3/u5nxcL8qMflymkJmOs5P+S973mtecLo7TCO4U+Ouk22rgVCf5SP5zoW7LKGKb6AXZM96PR61RgcKJTPfknHVLDtUkIbjkKRWxZLdzIb7dTBXN5HqLxXEWrVWuzUGEkrJSaSmDn0+rpimA3hy3LwohFBdjo0BJWIbFBINusldm/dY+/6QHnvC3x59mvjkl5Tuw/ZxuARnMWyXgV5781vgS39jTeHb0Ct3w8LSkM3rBNXPZ23zSa6eqs7ePyuRchhwS3BJexik6PZEIqXlt08wzKPqI7seCFrqipD1SbQ7W/ma+oZeXEWb6+JlsJY+qcW7xJk6upBNk9y8KE5YU4+unhuIU5ZqvTP+tqU0VF41bGH94cj/WCgXN1USXWFldi0aYyFG3XX4TJuPsL/jHrbxSOVSVokGi7pGrcevsWt3w8DdtrG/DAV3PQtmWq/TF2EjRy8RYA/iYbp/T+DVf34Z8ikE2eauob8NjgeUpp9Ju8Wi9TDLzy/m3JFkxbXazs9MMvqhMsy/GvrzRtE/DUyXh9QxzPDlmEEYvEjgDzt7rbeiuvrleaNPK0iZsE1U3XnGON84hjeY1Y08WJL8Gt4rPOPl4nSS+bEaYn6F7tpCVC2p4XhEl9ViMd7mArf0ZUqm7C+AjKY5Xx40UbUFTWcZRPLCa3d+PXPASPhwfNFd7jvcOW8mol7atnf1qE458babumknv2FU1qYyprfwdQZ9konfWqUQuv6e+45U0Vwku+RVp8Kshs3ObEUvOzYEMZKjlalaxyg6n6zW66+InS1VSCRvXk5YOXtaTglrN2ULGpm3DmrYJoHSoqsphCGB4q44DsO7G3jAhumQ83ZN4m/PWzGTil92/a8TSdkpGM2U5BriD/wxZuTtlEY52TNTg6jkQvsY3ZoEu8Fl85vOmd620b+2oDnS+NW8ffLw9birHLtuLXBY0OWWVzpnRp3NbH49K5FyGHBLeEL2STPV5jdDWVwC6MFZtzLAZU1tZjVaF9oV5UUYPuTw3DxW+Nt8cUgmamVwdYzpwOmbvJNYxbXM7++LmfFtnKZ1lBOS58Yxx+XSB3hiPr2OOWhZv+l6ptrCW41VyJRkHj1oIlbRMbS1OP1zUJhZre97QXR5vLk2Uld3+dyBaSTuKWJTxyX1tv38HX/RKJImNtYKsu5tl6YtLERJXEDlj/KWuTgmM3Bkxd67nLkb1PGJMdWfHGOfXYRDq8DZzvZm/AxxNX4a+KxxRFNChqXPGCJBZi7DcavtDpjMt7Weg652ST+njiKjzz4yLXZ5z1cqWmjVl+PiR11nCljQvqiSqyRaroPXTeYf22Sqx2zEvc5jWivsKtXanWNb99ZBD9jk5dN5W+SVMJKdragnA6Doryt1bgxOdH4UIF8zKfMCdRvOJ1s5WHasmZ7g8WbCjFv75p2lDlac7ZBbt6x6mT8XiohSme6jXSbZErM5UQS7n35bS1uIZj1o5VbvCj0NJ/6prkpilr0uezyWtS+jtV2Nyk61RAwsYtT6HIizM0kUY9IBHcClVuFcJweH/MSrwybKlyeCd2gZpmnjmwxThhuV0hrKq2QdthrbIigSXuh+76fCYuedt++qlOZipBNu/l5F/knOw/381PCcvDl2N2QV4T6xme8kECu78Q9W88cUUhvpqm7kcm7tC4jaJpwChDglvCF7Khjdepumnp2AdvtTxYFvDCL6lHthJaw0s2l3PzssjFGcPope6CGdUJnCll0M2adrVYRM7JPpqwClPyi5J/vzt6JZZsLsdvS1zeXzqYaT+SGtYmxHeHNVMVxeOgIhLvGYSGDyA7oqWXnmU1emfm4dwhjnmcdLZiNEvUBRHsb3NlWCHRjtzEEcD7hfedZG+TruNFTruuYsGS/V9TNHAE81s0baHKGDhzXfK3KO+W1aiRwZtssvl74ge7t3A/9VHXxi3LxBVF+HaWija9/WOKtM+5T3oY0/x0y/lbK3DZOxNsNuPs5aseee9fl+C72euli1QT1fi818dhkMapBhlu+QlTy9EvJs1iieDZAZXN3+LxxmOmv8zfhGELNyNfsqnhjEVUxqLX5OVj6I5NoHyvgjDNIvVjGstv2jrs1amN8N4/vp5j+9s5D7SQKrhIV3Pwo3Hb6Cyaf0/UD/PMI7HCSK9tLn9rBf7vuwXJTVPWxu2cdSX4/StjPMXLvl8Q/QGv/rbeoXHrRUgLpK5/RaZDAMk8XBh3zDWMiHdGr9B8gsmPwmbo00PcN4UTiEw+bNteiyOeHIor35uoFE+TYgCTV0cYpzauTp/F9hU6mxo6VXXYQvEJMRY/J1BE2Ulcd2q6VtTU44p3J6L3r0tsJn9E69Gr+0yytXkAuPGjqVpzcqfGLanc6kGC2+ZMGhQQpaYS0NgB3vLxNPTiCFa5zyjs9vEYzukQZf3C/PWlXGPzLLd9Mh3l1d40ZZ14PcYfhDMB3mBW5Mk+mhiZN3dV/HgMD0oI6oZl6WuuJAdUM2ZiUxBNQrZqfnOZYEBmDzaRvorjoZYeBLc2m3YGv7vsGJyutorXVhw5jVvpvdSJtS7LC8rx0MA5ttMTvKNxJrvFdcVNpktEY87c9SU4/ImheH/sSiZfjf/KNon8rD9V6ti64koMmLoWNfUNnrTAgjikoFJHVHC+/wNfzcG89aW4+4uZKK+uw52fzcAPs5ucXlkWUF3XgNFLt6DaxdY+APzj67metIP9djHs87zid25uV9U2YMjcjSh1saNaoXhsN4raLaK6vmJLecq39Lph5XwsJyZvn4s2leLlYUvx9/6zcNfnM3H2q2OV4xZVc5nGbRCOaN1g0zA611TMu5c+65A92gvvOed9vPJ2bkR6KWcvz6QIkbXjkPVVapGx31jU5hZvKpOeEGTnRXUNcWNCVp7jTxavfgKS8XOymTjhxdO4VVH+GLlYTRAni0/06WzOydLYZXs1PySCPQnJFkFCMWru+lI9c1USO7ZObVyd3Nu0ZBVOUCTqY029+1xDFz/rV1FZFpRVY1Xh9pTv+93sDZizrgR9mLktIO4fpq/e5q7U5UJD3Eo5LRX+ednMIS/sDBCZTWyHT1MelgVMWlmIscu2YuyyrXjsD0e4xidT4xfmIQa0aqG+BxEDlL2suznTUc2j50mxwd5MFpWq0yAW6fER0QIFjdpO++zUBn8+aX/bveq6huQOuCwOFcJanI5cXIDue3fSeiYpAAooz87d0QQnPq/nXEM2j5U5J4tbwKQVhVhdJLbJmpgE2QS3ioJsdpLj11YiS0WNePGSro0BWTLpquKqfXJS49aHSPmq9yehrLoe45cXJq/ZTSU0/hGUWRTR+83bYaOcNTmSqANuJmO8UqewcDzz5dGIW0BhRQ0u77G3dhp+SlH0rKk6O275Vpx12O7Jv1kt9/fHrMTwRQUYztg4tgD8+9t5+H7ORlzRY2+8cd2xrmnYitiRN5HXeL+ett2edlbtJ39YoKS1m3C45zf9MOAJf8Ys3YJbP5mOw/fsgKEPnuE7DWcKMcSkAgOdsYStE7PWbkPXXdvxw2kIdIM+NVTfEHcIQcylZ8IbvTBujai5phIs+/0g85qgpLIWP8+3mznTSffv/WcJ76kqCtTWx22nMHiCmUEz1uGRb+bh1IN3Qf87TuLG065V0xx9e029cH6pi03j1rEeee6nRejYpoWRdGxp7viXZ8JPpfl9NX1dyrVihxO6BLon32yn1tLUa89dV4JbP5nelK5CspZlSeugXQDdFGFMUzDdtE5qulZaZS/rFF+EGsVm81XQ4Ow3xBGJ5gl+8NP3ix59Y+RyvDFyOfrefHzymgX7KUd7POI8+LHBCzT2PXmMC5N01e/mAmncEklUJ26fT1mT3C2Tzxks7Qbu1Stkq7xUR0biNNSPOrtpPanm0au3VZPiicS34uVZpjEpQnrMUHBrwYZS9Bm7Ek98v8B2fd4Ojbbnfmo6gqNia0mYPvM6piaWKiwrqMBgRgtMBROairb4HBGZcs6no3HLakfELQsfK9rg86Jxa9u5NbjYrZYJo3U1bj02ZHkRpH+yI/fCbv/XC2U7tHlY7Wy7w4TGf4M4iaBL3Goc32SbXkHbuE2Ux5T8IuVFFovfYuTNGaRa4hrl4Vy8VzHOdrZVpi6O45aF7+c0bsgm/nWDbcdsanPXlaTYwEuG89ns3MrA+UlMmVpoSt9odEbgjVHf7RhHl2wut103lX0X32R65q2YiK58bxJWChwjrircjps+4tj+54T1P5TJI7jAYTvXTXNSJztBypx1+lTnOP3aiKU2G7hOQW5Q+PX3IKOmvkGpTPqOz8eAqU12KOvjcawq3G7rj76f09jmJq4oSnk+ATv2llfXKyl9bFEQbtkE6o7v9tGEVVin4YyVVxyyazznZF43Ml4auoR7Xdc5mX4g/1z5/iR7shoC1QT/m7DKVgaxmH0tkCBHYEJBRKL42O/i3NCwyQ/co3TE3/SEjo3bLWWpJwn92gtXtvtrNdronruuRDlu1o+BZQG7tm/JDSebfvpdU1rg+64g1CDBLZFE9cjLE98vwG07duWkzsk40bn1Z+wzOhO01hyNW0v4B1CjcJRSJQ+qOfQqaFAZAFSjTgjTeMKXOg87aF40bkVHsF7eYUz/owmrmDjU0uLBalqskWh6RgHTGrfOaLxoU3PjlVQRp8YtWyd13ot1TubF2U66NK3TpnGrICgNPg9qaSby6uUbyPowXj/g1fSMSd4atRyHPv6rdNPLz/xWx8atZamNRc7+N4jjp7J86BRHmxb2zdhKlzHbS3sQjTGyuZDfZhf2GiVdtrF1SJT36CVb8OnEVfLAHrPvfO1YTL4Bp9PHO0Mu2iT2nzBhRWHKNV5Svp3IuTy+cut2rfm2ZTWa7bij3wwM5GgasgRlb1m3RJxdc2FFLeYzDqS8CiB0811UwdfCNEH+1u3443uTXMNNdNS714Yvw1mvjEnOvQG18YAtsoqaetQrKEac+MIofLnDedEkTv0HgBJGe5LX9vwqYPDmUolrPBu3Xsduka1PUX8iqks2waa3rGjjbA8qCjObyqpx8Vvjk86p/vvTIrw3punY/YaSKtz9+UxsLq2W2F91Tydp45a5VuAQmtrK0vKuyanSfyU+D2+uIPOPoYLK2FNSWYszXh6Nc14di8vfbbIT7PbOzvVSXg5fDCjLA/vOnpw7WgjMqXQ2QIJbIomXSQzviEkCC/4mZjqP6mjcNnoTVovdrUwWSyboLDqC2/nrS3FHv+lYsaXcPbAGVXUNGDxrvc0AeQJvGrdi9O058SZO3jvzuGVh5ppijFhUwN1NjxKJtzQmuHX8bUrjVjaQp2rcNqGSfOLz62rcJnacVfJoEm0btx43bmTJpG2qo7iBktSI8JKE7D05gvmgmrTOJNS5aODhVQO8sKLGWLtl6fHsCIxi7PL5LUdeDuXfUj3ulo4jfPZnORpS6lEzcTILkDS1KLcyCFqZPIpLpIR2+W2fTsfTQxZh9tptxtNIcU6GmFRAr9P+nN9UezHL2wDxOZapbG6xKbhNAeOWhU8mrcLIxQX417fzpGE3bKuS3veDTp/qNod4bcQylBnyYyGD9yXSZY9fROKYPytkU+l72HpZ1yA/ccLy1I8LUd8Qxw0cjXMAeOjrucnfvLanM4cy0Zf78bHBY1NJFf43YVXK5qmSqYSQOm2VdF8eugQLN5bh34PnC9vm0IWb8ei382zzWZHTMre8SO3S236r2a/eWFKFs18Zg0+YU4HDFm4WPyBJ0xTxuIWCsmr8vf9MTM0v5ob5fPIarCuuSnFe6fbOzvuifkjWzy7d3CT38DJPdRqoieKcJMqQ4JZI4mVw4Bl1T7B+WyVeG7HMcx5UJ66lVXU224PceB1dg2pfY2rxrCO4vfzdCRi5eAtu/t80o6YS1hZX4qGBc20TtQRebNb8uOM46pay6pTJr9h7Mh/eGkPXWZdNeyRu4ar3J+Ovn83AxtLgFhEmMSWn+WTiKvQdl5/8m6ep4GVR6NXmkU4byrEdq3IPP355oW3BmQbn5I3ppCmhKGjHTVvdNHGUawDv0IgwnGXbBM9K1ZCJQhmJ8JK1zyavxvHPjcQbI5erpwNLuRx6/8o/xqhNLCboE8T50BFWXPPBZFTV8rVsedn21qexz6s9E3R98/pNeh64s1I43wIjzuP5WyvQZ+xKVNZ60zRyZklmN9CrUIancSsbm7QEt875peb40Ph8zHHNH7ob1ioatzKnVSxF2/Wd3apgWXpjvEpdv1JBWzUlHwZEDeketkxtCNlsgcYt1CtO1BviFoo5Jm4SbGbavGqcOnBPh0i+gYqDSx6iYv5+zkb896dFeHjQXNt1cRZYjVsPwjEDFUzFURlrUkymOLGhpMoWn125Q01Jo/FfaSDXeFgufXsCrnh3IvILt2NDSdM6cVlBhS2cyTRVaLAs/GfwfPwyfzMm5/PNlog2HWtc1vK2zWpLXP9k37Lv+FWu+ZBnIrVuRcD6WcZAzsmIJF4m9C0kGrf/+Hqu8J5KHlT7g4TjGFViMW/HsP2g0ykl3ntjaTWeZWy+BokXwe2LQ5fg3CN2x3mvj0u5J7TnxClPy7JcNW51JyFs+m+PUnPaEjamNgme+3kxAOD6nvuhfas87sDqJS1ZW3BOFuzaAuppLdzY1JZVFr+FFTW29p8ugWq6NHulGreW82+5kwgvOE8UyPITtxrLf5ZhbTmeHVL2PRsdHZh5b9NftcGy8NH4fHw6aTUG3nWy0jNP/rAQgH0hm6C8ug4jFxfglIN2xR4dWyev61TH5VuaFiX+bdymXjOpJT5tdTHOPHS3lOu8bHszlZBat9zwW0fc7PCZWHDL+oIguq6zXx0LoNHe35OXHqn9/MKNZfZ2nobu1bLkx699adx6yIsTv3NPlabN1rWVWyokIXfkRzFLd38udqZlS18tOscz6h2MShmu96AdbKJ+Rne7UY7zqLWq4KYhbqGwXM1khNM5FODf34dsi5FnIuLuL2Yiv9fF2um4jakjmRMvgLgu+dW4jVuA32nRWgW7wi2YkzGyPjMGe39jd77mjsqJLvsmv3u5sWZTZPD6nET2g1hy/N93C7jXTczx2SHPgrhPV30vL4JbK/m/HX9namcYEiS4JZJ4mSiK7KOYwGRbdr6a6qQ8DI1bFlUNB7+oDmBOWG08FlFdcl7eUlaNS9+ZwD12rH3akNUEYP4Q7VimC9fd8h15Na1lkPgGPCdHngZbySOpebcL1tzgTYJUhKMNcQufTlqd/DttNm7T5O9Ofiys6d6kFYX4W/9ZeO6K7rj0mL2Npc86MnDLDyzgi6lrkoJHHVRt3CaEO2zweoeHWj+Yrj5xy0pupLzC2BL0ysOD5mLYwsaF3/h/nWW75yXrXoQWCWLg921y52Sek3PFi1aSl/7C9zu4PO91ymG3Ky5etAfZR85cw58PqPDj3CaHctLFOeemyhjjDGHBkpaFKM7Cihrs3LalzRRBSty6cxfONb9TT5XH2TBuTlXjlnoLUza95VEgpUpUBAI8YUuUToqUVtWhU5sWSkIhp3KNznuorme4c78AHGkmKgjvtYPSAeBtuPNgs+QlK3HLQq7PQnvw6zkp15z5Zf3FyNYVObGY7RSlrnMykQ+FTyauwpx1JXjtmh62eF4dscyz1nRK2hbw4bjUk6psvlQp92GahR3XvVZPpwkQL6YSEmwqrcLnk9do5yG1DWhHkdWQqQQiiZeBSqZx6wXboOCjNd/9+UzU1Dd12s6o0qlxW1pVhx/myCfFfvDrYAYQG9R3Y/baEu51UbE5y/O9MSuFtiJ1taEaHANSppDIqmmblglnYjwbZDrHsBNIF7kpadgn915Q+YbOMgvCLigP3X7B6yJNKidl7v3542korarDfV/O9pSOCGffItd2sPCZh0mcG86F4sw12/D4900aCV7sc4swXXvY7+7pSJmDhNAWAAbPCm5MUUX3+KluO+CFb5mXIzCVoBV1yjPKeTMoUBOVX019Az6fsgZriranBlBJIyThuR8Vbt2TUyztWynooDhe3E0ji9de3xuzAsc/NxL3funwZu6IyMv44Cw6v3NPnePHavGlXnPaoQ4el4/mIDDhW0Ti0EG2TtCpBzYFibiaHdEEOmYVnOisc7j9Ki+canzKKQO6EmZR3DazYR4qsom5MM8fSmIjOsHwRU1zEp6mdIJYzC7ktAmmFSpRUuPWEfSZIYvww5yNGLW4wNbnbS2vwdNDzJxYtQC88MsS/j3NYn7UxT64NB+GTuMkf0PcR6rMV6/7cArX9KJrHhybpuScTA/SuG3GaAv0PAluzU7c2PYrPyYsz+zQhZttxzxSbZCp5ceETOBvX8zEpJXhan0GxTcz13Ovq3pQlX1HXUEsO7lJlwBPlz07tk45Ap14NxOCHZYmjdvUePuM1R9sZdlz5t3ejt3fy6tzOmee0jUBUPGkzOI1W6rai0Fp7zjNJFpx8bIkbnn3/Kwq7LMA3DfALjSpV3SOopYP022w6bdpG14t8hxC9TR3eaL3UXUe4pW2LXO5cxtvx0n1N/uWFpTjq+lrOemrRWBrt5wSeX3kMnw9fS02lortvLoxaOZ6XH/ifp6f94qpKr6xRKwJzhfKKAgpNfPAE5a8NLRRa/6X+XbnNX7rNVeo5DNSlenEmiL3o9AJnI5A+47Lx6F7tMeCDWoOek3QqCGm9UQg+TAxz0hnf13XEMeEFYVG4nIKXLQEt4pjNd85mXo6qkRBXiTKg9/3DWou/L8Jq4T3ZIL5WCwmnA+ptGk3G7eVtQ3GWvs+ndvYbN5yx/YdL6CbpnPs0MHEEtFu11986kRlPqMzftjj9mamimiENG6zFK4zKA8dfZ5hwa3tWKzPgWebxBC+qo1KE8fXm6vQVobw+IXWzr7e92e/qUlhjkl4disTi07TeU6Uh1dhmhPZrr+zPem241YtclO+t9rxV3G6QaK7MeA1W7LnRLYyTQofnUcnZQKSqflFnmxlu+GcaDrzFOXderaemFh3tmI03FoyY6/F/D+dqGo2NYXXy+Oj387Dz/M22a61FtjF8PL2XqrONR9M5mo7qyvsugf0I7QFID2+aKK91DfE8c5vy1OcwpoSrjz382IUb1ezhwl422D3onErjiw1bt28OPFrr12lrT00UN0PhTM7z/+y2LPQtrquAfcOmCU0tSXCgu4cUjNjiryvqWXGbRdp7K77MeakZKg0X3aML6xQb6OA+lyU1/Z0uhbVjZBEX2zSN4BuVKLxwK6Rqp+PMHRX3G3cOq808vIwvjYrS3l1o+NLUfuPxcy1dx0LkOmcfppwiugUmIryH6Tyk4XUk0fkm0wdEtxmKV413JzomEpYU7TdtXHahBFSLSz39GQDn+qkOADnplmB6Pvo1DCbwEbhSTZ8EF5pgyKhPWZ6oFy6udxovLL+wdme2LAq6bfKy/Fk98gZdbo0rXWdkwWtccvyynD/tlQTOIcJ2Xv8rf8sbPIocJItdtiyjltWyqTapODWdO2xeVF2WdENW7gZ746WO1Jkj4Sn/5iynRgEZS8pRN3mWVBWg3scGtaby6oFNgntkasIrpyLh3RQxAg7TKbJxiWran7TtGDhq+nr8MrwZbjq/Um2e34WX84xfsmO8Ss1XCo8O+4pzznHF5dZhZ9+RdtUAqyUsvNt49ZwfW6IqzuicuOLKWvwk2NDRgXL0uujoyK45ZHODcfZ60qk93Wy8qc+k5O/7/9yttb3UK0/vPWZrkA0dS6YGmfivU0KjXTjEmvcsja09euKzly4viGOf/s4wp+MRya4jdnHZPZ7jly8xTVu1jwWj5xYzIhgE0hd98s2EkylqcLM1dvcA7lgV4QQz5OCdMDsPL0RJXvfmQAJbrMUvuBWPx4dUwlnvjzGNYz9GKEknEJ6ooVyDDHlSVO6vMc3N0STBufx7jpJpdPVOGHDmzY74Ad1kyVm83zjR1MBmNt51zKVwPyetKIoxZOuk5Z5OSltUqmNehDWJPAj5NXdF/A8ufPw2Luj/S8qEzhrbhityultPtepBWwyU4Zf0CZMk4azcNfnM/GyiwOztq2atE2dTuDCGKp4ScqcXciOWcp4bLB9UZm/lWP71cPGj90Mh78CVH368ncnAgB+mb8p2UebQDV9EwKjFVsquNdNaq7paO+rjPdObT+3YtAZH5x1R7uEU+qum1jZnSAEg6OXuAtYVNDRpmaRHe3lho/IIVyV/a2NJVX443sT05IfUV68NF+dOZc/jVv1zK0tqkSPZ4ej1y9N9lhl2RS990MD5+DBr2Zrja2qZVheXYevp6+VngxN4EnjVqP/+m72Bnw1fZ1+Ig5kfWZOzL7u9jpSiMoip9GIrhGcfcz5r49LCfPu6BWIa9p49ssNH03FxITJE48JOwWmok/m98SHNA+wr6Gi0UtnDiS4zVL4zj30m08uz+aCD/qOz8eygnLP+WFh39EZk2qfFFVbqSxB2H7yi4rdnHsHzMaAqam2ApviYJ9zT5Od7AVxZDtogpoAmNrN9Grm4l8KO/mt8nI8tdEnHMIr1SOzP8zZgG5PDVULzCFdGzpBaYSp4tzgi1sW1m8T258MArYPjlv8POnaHE4XquOH6qds11LgliCEYSoWi3H7FtErf+fitV7Gl9Psi8rlW1K1Mb0Iz7zYuBWh6kisIW7h8e/n4+/9Z7kH1oHJ/8KNZdjqcDjaELfQ69fFGL10q++kRHMOk1MRkZCHV+fkAoPGf50CEksQl0qcqXmS/+1Gqq12exyDZugLVYKYuvIcnXqBpziiQuM30wgfkek7ry45695jg+cLnf0GTaIf9PJVdIpYtU35XXdtLqtGeXU9PhiXn7zGizFxbV0x31bn4Fkb8P2cjShWEK7q8sigeXj02/l44Ks53Puy9asKF705XllQXuRxI8WJm8at3cattz5ANO/NiZnrn1TqX33cwoQVhWnXFh2ztHHzrLK2wSUkH7b8yqrqMX45fz4gK4LD9ujgKe0EtfVxW52OsrmzKEKC2yyFf9RQPx6n9pNfKmsbkrtbclMJ7pllhcoLNtg9Fqt2FNSheENUl9jLP8+XH5VzOiVyg52kREnjVpWgcmwqXj0P1Hqp8jRuvUzeVQWqD3w1B9V13oV92jZuPX4E2XPpqOKFFXbhj2UB/xykbhfRBHbBbar3dcsChi2Ua3SrYlpDyxab7Pi6YnytW/Dtu+rEYRL+YpifkxVb+VqaXqjiLFpShWfuJWKyDZ396ljlsF9MEW9YesVZ7i8NtdsNHDhjHT4Ym4+3Ri33nZZI8GZyOqhjm122YE/ktXi73UN6o1arGD+CW0+mElhBjUOz9JFvmjY/f5y7ER8oOBcNQqCgYxpNhtd6IjvaC6T2R1GZBfLmo+yV6roGjF3mf0NFiEtB+Fnn6Dyq6sfB5Pxd5tTKsoA560pQtsN+qggd/SQVzeDZa7dh6EK5kyo2Hi9teXNZNabmi21IfzXNfQzSN08hcU4GezX0qvMlKolYLIaqOvl3VEW1Pdz88TRjwmJV4lbjCaSPPJ5eYpvWn/pMEmpay8Y/p2NcXe76fKbRTfNsgwS3zRhZp8ubeOsuWi3LMq5xyyK176jwPJszp+1FZVMJGSgAjAKiYxY6E0RdrUZWyzaxKxkFFm2SO/BINMWoD15avlo034Vn47bWq8eZCBJErtKxqfTvwfNtf4dhO9rZDzjHnLhlpThJckM0NpouUptNN8mCTvVbigQnYR0J5mVbtCFicqbAS8PZP6mUCDu+R7PnUMf5/qVVdkHlSoF5Ay+IvqXOcWY3RAti3lWZkDdnR3+xvca+qHf73qrCo6raBjzxg93+oq6gJVXwK+4T7v9yNnr9usS1zwuiPptyRuz5mDTER3uB1HKPynSAN26yefuQ0QwNg0RevGhBvjdGbpedpc7H/OFrD1rngIsCECz8OGejaxw6GuIqQee62BxuTLPpt9dqLJsXOOd2PHQVs6R9puOEjvfNG7HGLW9D1ws6ax03BSTTWFbqCSQd2HFli+NUjihcEDgVs0R9D9m/TYUEt80YZ31ntU5N2LiNW02TYlV0JgZ+m6ssLVVvuKbtvHTZqY3R+NwI0k6NNF1BZ7u8QH3xqGsqgV28vTHSv1aRKZSPSwckOjA17ukM5LrVrhXHU/z9X87WiwRNfUbXXdtpPxsoXu1RSepEGBOa/gFoCrph07iNWyljl2UBH0/U0z4QjQymi9R+NFAcTjXdndu19B2HKRq9RKsnalIbk7epk2IqQSFrXzJaR5m+QHDmP88h5K+sM7OotWTzvhDMNr0/ZiW+mbleeD+RJa7zOsknVx3v+oxdmaIYoFuVUjVF5QJKAFjssiEcRHXW8Wkhw7MtZEvTVEJEtmMaOJsQbN6WbFZbjwRFYoz18lXmrS91D7QDVY1bkyTaMbcuKM4djG/oKoSxa+B7TEfxOVE4Xc1n2ffNiTmctXocLERZisVins0HONFR2Ko2NK6q4legqvq4rAxMtAc2DsuyhJsEGT4tCwQS3GYRrIMgrqkE7eO/FgydnOLixaM6i4mFomlblum2R2vC4LwXRFVpQ4m6fUz793f/DjpHK6NIYDZuA/K0Kg2r+TJxS8/piIhEFFEb6z1rTEgFC2rhTDIlvyg9CTGw9SJupS76vdQbk06U5DTlTbbHqdpGd2nfiv+8FY6QIkoHUlJMJSiUx6SVTfU5Qq/iCWf+83Ls03tT2kgNlmVbcrMnXdLRqpzf+UWHSQgniY0eXTu0qkKLtRz7mLrtwrIsx9Fo9/w5zdik5sF8jXYTFqvitfvdWFqt915WMBsyugcNqzjCnZVbtuPd0SuMtUs/uJVpZa2ZI+hhzNETb8Y1laAYh06dU6nbKv2DfY6SGaOT7JRc40aviVT4kViWxW1nXtCShaT50/jtz1RPzQXtx2MU4+jSslI3mpP3As1FZkKC22aMc3LB7mjwmohuO43LFRb8I4lcZVEm2jHSmTSaNpWgcuRGd1KYiHLFlnKc8+oY/DCnyQkM+zud+LOZZdn+VaUmAx2SJbAsi+8p3UjkZqLRmnRr9yVmvLMm+oWoac8FkZ0wtOnbtRI4x/KJVEBt8z5rwan05aVsRfXDtPDTpnErEWsVVag5B4lStY7FwjGdISJFa1FbeGYsK6Hg7A7ycmKYml+Ekh2OdUwJX+IWbE5/Bkxdk/zt1ekUoFb+K7aUY9FGdQ0/oMm0Cs95nay9q/avvLmOvtkx+98Dpq51HcPcyivKZr681pOHB83VqscWgmnXuvnnbQJc33cKXh621HXjIR00mUpIvffCL4tx5JPDMGlloe90wvA9kdS45SStfhrOLCpzaZvYNrpN2UadZA2WE4vZ6pfXNaLok8Uty+jmpCrp/jR+01NdxklNjBh4afaUTNyyhGZ4oraWiwIkuG3GOCcXbmYNvDhUCLJN+Y16TRHfU6hOnlcYtAsHqGmkODVlVGiIWzj3tXFYuXW70EtpOvEjVEoIYG0CG4XoMlnj9u3fVuD1kcsCiVvnS3Rq00J47/J3JyrHo61xGzejIRRdjVtvOZI9Fca6PCgHKrJ3YSfRcSt1XPNSb4TOEw2XKRufbK1/Su/fVGNUSitd6AiHTNo/5eK7AKLWa2jieP/hiwpw7YdTcMEbjc5e1xarn3aRUe8YZwsYO3l+FNnd2rFlNc5x3vpN3aYm0DTnctZVN61W1brNC+a3Kj770yLX01JuSUR5veunJ0hoOF9zfBfXsG4O6LyiayJOxnAXJ1XpoKntpb5Xwv5u71/9C5jD2ExomhOmpq0suDXcmJTK0oCNW1VMtRKZYN45NnitCjKzDnWG6pfOnDLdgkW/6yTVtXk626plAS0EfWqEh7HQIMFtM8bZUbILXudR0VWF23Hzx9O04ncxEeYbv6YSTPDcz4sxe+02Y/G5HdGta4jDg9wWU1fxjzCH1en52VlP7Jrqep1Mt3dPk7w2IhihLaDXVkydINf9/A2WhWmrxB5wVbHQ2IaCOCZ69uG7e37Wu40yWR+YufXdiarmm2VZHFMJgWXLN6brIe9YNgDMWLPNdmQ9HcQQC8VmoYgo14N04Hz9ih3OuArKGgWrpo65r3PUQdGCSxe3puK5Ke3IXorzOpcI1QW3HI1bXSUIy8PY6ybojuiSNx63fM0zyqoa67WKY2QLwZiMMOmTubzajCa8H1SquoliDFVwy0latW7oKKKYqm5O0ylBohK/ShbkphJijnfSf6ny6jrhc6+PWGasoHQOEqVd41aprVq2f1lUtYmlNm6VYlDHgsRUQjSHsVAhwW0zxtnwZH4Fbu83XbgoFNGosRBcqwoq6l80vUAOXWBuR1w23+v96xIc+vivQq/cMmpEz4TU6fk5QpuwU6Rb7lE+GhgmOgs4U+sR3UVjfdzC7f1m+E53xupiHP7EUKwzpF3GctrBu+Lio/by9GwQNfP5Xxbj7FfGoLy6zj1wxJH19fU2wS1S7KqbHIOMT0gVNW5VmbhCbGP4w/Hp90yupXEbuMJtqkal3vMGMxMC6cp/mUPQlMvsNPsxleCqcesx3qRzMqfGrUucqpvPvP5HN69ehKxuT0R1OhTnbL7pUFrVON6p1DUVW8Fe8FPPnbTIC38ZHrQH+XSnwyJrW0GYSvjV0Hoxx6Zx663c/vXNvLRu8Ms2ck1o3A6csR6z15Vw763cut3Y/E3LVEKaq7TKZnmibLmbFT42JBOYrlNSUwkR3YAMk/BHDCIwnO3TrnFrv+fFvqaXQdi7cyo7Ti++OiwtKNcKb3KykV8oLuc+Y1d6HgREE5Bpq/1rMXqhrt6Hxu0OwS17LDtKnff1J+7rO45bTznAf0YUqKipx6YS9bZiymmT7qTMlL3W6au3BSbAj8W8C5+8a9yK7y3cWIb8wu34OiQHhCaRFY/dOZnFMZUQUKYMYJ/gBiu5NKVRqcq01cVJrU43qusahKaLTOGsBrpjxrICs2aR0k1YG5ct8sTzSh2Cyn1ZdT1u/3Q6yh111dVUgrI2Xuo13f7+N8ZRiypuaYQhJFMh7kW7mCGxUakkuEUwc0eTgtt0mPhyK4PEOCV7LROvHEYXJUtTWeM2hHzb7MF6rCKby6p9rZV1kdXl1PmzfqF+NW2t1MyEqS5Py1RCmtemX89wn+8nNW4590xo3BrHsvtgst2K5jAWKsF4GiEigbPzyYnFkkdN7YbPvbUMC8E2KlncZ70yJriEHUTddGoMscA9QOriZzKaMJVwfrc98OW0xkEqSq/X68qjcdBu7fHcz4s9x3HkXh2Tv4MU55zca5TWUTxjGreaHywTtKVzYjHPC7YobTxEEkl9YesGz8atybI1buOW+R20xmkY3P3FTKVwhz8xNOCcpH473W95z4BZ5jITAmEJ6lp4se3Ewd1Ugvf3G8URjLr1G340k3S/xTNDFuGGnvtpPeMujNOKLm34racJjW+eqYSUzRsrGD8cLQTHer1QXl2PX+aHa+c2MV0PeogKw7xT07Hx1Huqpn7CyLfNrICPOY6KSRFTSAW38L/hvtzF54ypMVAnmij2s00at6mZ+2HORq04eJh+560VNdhWqeaglyDBbbPGKQyprm/AGS+Pxsldd7FdH7lYf7cf2OEJPkCBRFRsODZEyHO2iDA8zMuQ2TpyI3FEMcrCvIN2b+/r+XQtsnXtp5kSLul6d42qdhCLH43bIO2PmtT+CQupczLWVAKsFBvgut3zKsmpB9N6f2y9zvyvlMr6beZNknjF2YdEv0exs3O7lije7n3xIutDf5izwXO8brCCAT8nNtzseZv+ngVl1dL5q6qpBK5zMg/5mbVmm4enojNPVsXibL55QSWKoEomCnZpTSKy02zqBJYsnaBJCrF4zsmUNW5DENyyphJ8JJ/OrMv8jDirUhD5yrCuMDAS9dXPEjqdco+Xhy1NW1rNATKV0IxxDjbDFhZgXXEVBs5Yb7s+f0Opp/iDsh+VjD+4qLWIsPwwSXPSuE0Iatjd8Gi9nX8hDPs+ul6yg+KT204wFpfuseP0ejD1llYM3hecn0xcnXLtHAVnZypZTadGRVDIvonTSWGqqQS97yk7rWFc45aJrxnI1zOKTBNo+W3Gsj7XhEd4EWy99vMKss81fnmh8bb5j6/n4vURy4X3/XicD0LQ8/CguY50G//14wg2DOKWZWQTS3S01kZAa5RMK3M3EvXVdjw/gFcMo9ieGbIQgF97nyZzpEY6/U2ojpVujrrrJes+v/M2FcJolVHuCfxsd8qW8BYs/LakwHPcOmTYNC4tkOC2GeMclFoY0oxIENQxpKb4g4tbhwbOpCZqRE071Y+GYWJAdzolihJ+NUai9j4AsFv7VjA1Xayo0XOYla76O3bZ1qT5DV1isZixPuCQ3dujpYJTEpWJV05zENxK7tlMJcRTbdyabEuma2E6NXUyvxb4I8VUQjjZ8Ixp7TaW3Tq0CizuVnm5yd9+XkHWVuZvKA3kdFdhRY3wnh/HRV6avduc4puZ620b4okkVI97RwWenXIvqGxYWgj2VGBzIVFf2ePsQYxdYWiuDp7VeNqAl7Jq0wljvt66ZVO/GpX1wl8/k5tGqpP0mY0n1oKtX6Fs1kbk27AkytZPcci+z/aaBvzlU//OpFWg/jsVEtw2Y5x9aB5jl8nEEsGygm1UUTk+nRCAm7LlZprNZdWRE9wu2aznAI4lqXEbYRMVftcdUanbTkzJDnSrY7o0xm/5eBr+8918T8/GYql2uryianZBpViagdwWrw1fJrzHLq4spC7YTY5BptslG5upupNpqGg13X7agb7TcdaDiHaxQoKsHe1aBmcVrS0jYIgBKKms9WS6SfZIXk4s7d9T3XER/5i5LirTS+fpAyDa8yQe8biZeUbHNi1cwwR9KrC5wKvDNQGYd4ratxgyV9XeZ/ozzvbZfuY4prJe32ChaLt4owsA6iR1JsiNyQRRq19hYUIcIJMpJByIB83Vv+uCFrnRlLuECZVIM8YpDGEbgInjbfEANW6319TbOp+8EKUTiQ4sqkeSZ67ZFjnBrR9PpkUVtXhr1HKbF/Ko7br5FcLst3NbQzmJJroL96jVXx4xxIwJSWOIGZvIllVlvr09p8d3FtbWVtyyMH11se2+yapj3lRCU4RBDx9RbUF1CoKlJy45Evt0buMrnZR6ENUCERCkrerJ+UWBxc323csKKtDj2RG4+eNp2vHIxvgw5l6qmqy8sctLn6Ty/dmm1GfsSgCZqXFrgk6qglsjqfFp2UyECon6ylbBfpNWm08nxHmeH23MUJyTmbJx6z8rABqFdW59lGwTKQa7rCEYUwnp/05RW5sCcod8qkTB/OKVx5Hglgc5J2vGOAdJ0STjzVFiO18yLAQ3Ker21DCbsDYvNxaaXalEB5aXGwP0ToCnjahqcHrhwa9nS43cRwE/a+yuu7azaSlFhUaNUjPoDvpRc67HIydmVriiEpNKqbw4NDj7lemi627thPdYW1uWBVQ6HN8t3lRmLB+ma6Hdxm00N/6CRnVTxm/xpJpKiH6fwhLRfWFX2LnHhpJGZ3UTVhRqxyMbMnJi6de4dau3lbX1aJ2Xi/HLU9/VS15V+geeYCTT7K2aMpWwU9uWrmEsWIEK3U48cGdPdT3duDk95Nm4Xerj1JyIMIVBflIOo4mxReUneZX6r/JZGuIWWuTGINO1lK3bcmL2cmwuzsmi2P0m8uRHLtAQgTV4VJXlwoZE2c0YZ6M1bQsxHvB2NjshDdNMQUKoFKbWrxuZNnmXwR38I/Z6ftYdndq20H6do/bp5D1BRRq1QM3EpatBG4XdXTdUzRuoxqWyeM00B0teOXAXseCWFerzyuOxwd5MX/AwXd7NqFv2jOrY5NtueKabSshQwb6pch65SOzsJDcnlnZBvNuYdNNHUzFjzTbuPS8LZpXp5QhOGWWcqQTLzDjK2/zm2T8PstZkgn35TyeuwpT8YmkY3rgXxHonzD75iylrPD8biulUSz7vUY/HRG4acRuj3JxSs/1iEHOj5Vv0nCKbIJJzdMv2jydk41+63jkDutdQII3bZoyzDzXeBqz0abWw9nnTTUKOGOTC6h9fz/H1fCZoLPohcm/nI0NeatErVx+DC94Y5z1RBUzZcL383Ylo00JvoyUTTCVYltk+gCYlTcgEHQ0BT/ZV8+EFdoIbtFwuf+v2YBPwiOpRbpMat7FYBMcMFzJUbmts001mLiUMAZnbmDRrbQlKq/hHsDzZuFWoAA8NnJtyLdNMJVTVNhhZi/DqhPOShWCFbiEuS5Q497WxWKEgzEqsFdn5XxBrrjBPBiaclHkh7BONUWnhbn2iTHA7eulW29+RFHh6IIpv0eSczHvuZDKFdC3XMnUzO2g8qzFWVVWZzAcRANLFsIGWF7fStxOZG6bGbRpe8rvZ3icVQOr3bA7Hp6OMn8VqSaW+vY10jV8m0pm7rsRVw8NJRghuYVbYqjIpiXqpmKqXsve0a2kEWyKmldfYap2tzslUNQJNmyHJtIVhkDZugyQd86OcWPq13lTqj+iLecmq1/qaaaet/tJvuhFBPC+KDq3tdm8tC4EOolE/yqsitAWYNsy8ThBrrrAFoF4JYyxhU1y/LVh5i+rbuQtu1cspQ6tCRpAU3PqIQ7bGTZeiWNT717Dw3DOfdtppKdeWLCFhUZRIMZXALAxMCEqsNB5eaxHi1nYmaLM6s/j+mJXhZCQgvpu9Ab/M3xR2NpL4aT/5hdvRsbW7Yw2WdIxfJm3c6qJbnh1ap/+wiGXoiCfQKLRViSvqk1sVBzEqyD6/zVSCkdTEmB/RIv4B08DklWqOsfw2LbaexGKxjCv5TF2jpGN6lJeT/u+p8l53fDaDe93Zb995Rlcj6fHIhE1PlhVbKozMM3I5A2jnts7xyApUWNhcBAvJMmKKKghTCRlWVZOEne/7v5zt+VmV6q86RrsxZO5G5bCq7fKWk/f3mp20EMU5eiJLlg9FBNm4ki7Tds2kezWOtuB2yJAhePHFF1FRUYF169bZ7l177bXGMkb4x9nw2A1UEwNRo8Zt8zeVkNBoyDQNnubG3/vPCjsLSfwuBg7bs4PmE8HX/0Ybt+G0M93+KIwFkymnKkDCw27mz0p0NyBEyPpWdpIYdB9seoFm07jN/M/tiQe+mqMUzrepBOffGTZcZ6rGbTrmRY3OydL7Qf0IRJ0bQB1auW80en2/6jqZu6BoYmKewYujdZ7d7m3QNm6bi+A2qXDLvM4Bu4rtzntl6ILNxuNUwW/fEYajS1PdnUreJ+ebEdxuKq1WDqv6eqcdspu3zGQxTRq33iuRVHCbpp2MTJ0TBY224LZ79+7o0KEDCgsLccstt+Cggw7CGWecgWuvvRYtWphZxMl49913ccABB6B169bo2bMnpk2bFniamYqs43czIq4Wfxo1bkM0lTA1vwhfTlubcRo8k1ZG39ttpmKg+eAuBS2cBOnSuA0L3YlAGAO6ZThdtW8a7V6nVZ6Zflm2EVJT19TYAvfDY7i4bXZXzUbd7PArzHGWdRiLbV9kaAVJxyIuNwSN20Wbyjw/6+zOVEwDeNFiWrChFJe8PUH7ubAxMYyqjJ8Wgt1YaC6CBd7Rame5mbClXLy91nccXvBbBRZu9N4XeMVUrY3qBqaq8ksz2RtR4r0bjzMSj2UBLw1dgp4vjNJ+NrEZJRvX02XypLn0r6ZRPm+6YsUKHHzwwTjwwAPx97//Hd27d8cZZ5wBANiwYQPWrFmD7t27B5ZRAPj666/x0EMPoU+fPujZsyfeeOMNXHDBBVi6dCl23333QNPORJwNj9Xwqqk3IbhN36AQpsZtWXW9q+fy3JxY5I6s3dB3athZiCT/94cj8Pwvi33F0WBCgqRRpdOhCRuD/oIqJ2ZGSzEjBLcGO7tYTO0dojrpTmDqM8ia05bymuTvuoAlt6aFfewEl+agcvwWD/vtYo2S24wiUxcpaRPcZtD39FIkXrq210cs038oApg4baJkIz5g5ZJMbbNOEvWVneM4bScv2lSGzRoalVHCr6BpjMOxViYR1W5T1QRhGI4pw8JUf2JZwHsezSXmxmJocDExkzaN2/D09SKNcrF069YNl156KUaNapTgJ4S2ALDPPvvglFNOQceOHc3nkOG1117DX//6V9x222048sgj0adPH7Rt2xYff/xxoOlmKs4dfNO7JPE0atzmpaEFd/VxNEjHHtTtpx3oOR3CPwft7v8ImAmHIDqLl3TNXXTnDabapa62UW4IA3pD3JypBECtrKM66U5gytyD6tgU9ITRdPRsdOQhN1icjuCi3nac7Ldz27Cz4AkdhzReyYnFot8ZMjg3+VTGDT8avpmGifkMLw7niqRR49Z/WiKai6mEJi/0Tdd6/7oE01bZncy+NCwz/dhkUNeR5L8/LUJplb4jYydRNfGnOpdrLpsjKpjqT/zIehJ5kK1x06Wjlk3fXgfl5e+KFStwzDHH4MYbb0T37t3Rt29fVFenb/ettrYWM2fOxLnnnpu8lpOTg3PPPReTJ09OWz4yhfqGOEYsKrBdM73oLa+uT5tKWDqck9X6OP+uI7i99ZQDPKdD2Dl+/520nzEhQDHRlnSykQ57qF6KxdREIxM0busbLGMC9FhMVWPITHpBYeozqL6nieOaLLu0a2n72/TmJrto+nBcvtG4mxu+65LDVkLU246TUw7aJewseMLI6RMXGp2TuX/QG3ruF3heVHDWvaCGq0xd15rIt+r4+dH44Prd5iK4tTiCWwC4oe8U29+VNZlnTxkAlhWUh50FT7w/ZmVkBa9+UZ3K8ZwQNldMnSyeuMK7mcREnxYFp+zNpHs1jrLgdt9998Vzzz2HdevW4T//+Q/69euHLl264LHHHktxUhYEhYWFaGhowB577GG7vscee2DzZr7B85qaGpSVldn+yxZ4go3hDkGuXy55ewLmri81GqeIvDSo2PkRCuhM4LJoHAqc/91ygvYzXicCb17XA7/980wAZgQ8OrlIT52JaQuIwzJhEobgti4eN/YdYogpTUrSZUsqbFTf08/mGg/n4t+4xm12fD4j+N2cSnFOlkF6Vl42IKNCWjRuFU0lXHXcPnjvxuNw4gE7B54nGc66F9QCdOTiLcFEnAFwNW4ddcQC8EGAG2bNRaiUGFad47BT687ESbMwuPitzLMDDQCz127DCc/r2yllieoXUzaV0DyamBKd2pjxE/XIN/M8P5soby82101DGrd8lKVhtbW12LJlC/Lz89G1a1f85z//wW233YZ33nkHBx98cJB59EyvXr3QqVOn5H/77rtv2FlKG83NLkw6drbrfWiOtNAQLNORWYOkUUv08h77oOtu7QGYcU6mpXGbJudk+qYS5A90bhuMw8owbB81atya+RDzN5QqlXXUBbemyiNuWXhvzArXcKZPjaRU3wDMCRFq+K1KKc7JMqzoM3VeYMLRrRuq/UxuTg7+cNReuKzH3sIw6Ti95eymaAFqx0TbVLMRH2wn0FzWWTznZDzSoV1PNDF1VTEKK2rcA0pYW1RpKDdmURUMNpc2psJObVu6BwqYJudkIWcENG6KUHZO1rp1a7Rv3x677rorOnbsiI4dO6JTp0647LLL0KlTpyDzCADYddddkZubi4ICu9ZoQUEB9txzT+4zjz32GB566KHk32VlZVklvG1O6Jgi8EqtD4dtOoNLEG+Srf2bl/c2UVYmJrA6GmZRPZKX6yJBDco2dRiaLvUNcaPCFXJO1kTcAl4autQ1nGkhkfMbmFYoylAFpYxk5daK5O8MM4kKC5mrWZQORyU5it9TpQxjHM91V/TYG/M3lGLl1u2e8ueENmzkmCgd3vjpjHf8cu9HhlUIw9Z+EFiWhZr6hhTzek7SoFzfrDhsjw5YXbTdiDNwr9z26fTQ0pZBNm5T2SkgRRcdEmu6+ghIbrPp2+ugPOxcc801aNGiBS677DIMHjwY48aNw5AhQ9C/f3+89957QeYRANCyZUv87ne/SzpHA4B4PI5Ro0bh5JNP5j7TqlWrpJA58R+RmaRH49aHqQTqYELBS6mb+FanHLSr7zh0spGO+u8lBTftJZMbLuxx4jB24eviltENEpWoor7+N2fjVu1FTdu4dVYjU8fru+3dONcgDaX08euCJpNZMcQyyjagZVlpsGLOx29Xmg5TCYBaH6Gy0OON/7FYzKzGM2ncSjEhFIhCkTaXeX/cAn6YvdE1XBSEOVFD5lRy2D/OwLOXd0tjbjIHVVMJzWVzRIV0mIR0I5GF5Vsq5AHTQBgnKzMB5WL56quvMHfuXLRu3Ro9e/bEFVdcgTFjxgSYtVQeeugh9O3bF/369cPixYvxt7/9Ddu3b8dtt92W1nwQ6ScdE18/2lw6i58gXiWD1qhG8bLYapnnfzTYlzNZu0JyPJOHTs5bGBzBdm3PP47jpSzdBMot8oLRUA3Fxm193KhWnEp5p1tz69wj9nAPFACqe2Z+zNnwSLFxayD6Sf8+G3t0bA0gGsfNMgWTgrNYBjonC8NUQk4MWPTshb7iSIepBMsyp0HN68NjMHsSavDsDa5pZjNP/LDQdxxcjds0t/lMNW/iJG5ZqKpzdzxmeuO0OXDUPvITx+lwLOwHv6YYvKJqKqG5tDFCH9rw5KMlDejSpQt69+6NNWvW4IILLsDdd9+NHj164NNPPw0oe3auvfZavPLKK3jyySfRo0cPzJkzB0OHDk1xWEY0ct/ZB6ND67zIHrPWIR2voGOn1onO4BLEQJ6t0ykvJdkqL9d4PgDglauP0XtAo87kGrTLN+Px87jXvaTgplFrUuDMZjAo0yn3nHWQ8F593JyNW0BtUpJuwe3/XXxEWtNLoPqeprX7nNXT1BHexJcljVtClTCmabFYDK1biMfDPjcdh4fOO1Qah+nNFBEqXYRKnyqaqwW5RswmO43pIgraWM1hbQWEt3GaFUS4imzbXovjnxsZStrqzskiXICGicKbVta4b+Cki2z69jooD33vvPMOevXqhf/85z949NFHMXXqVBx++OHIz8/H7bffHmQebdx7771Ys2YNampqMHXqVPTs2TNtaWca/zz/MMx58nwcuGs7z3F09fGsSYJswF13a4d9OrdBv7+c6DmOsB1N/fenReYjbaa0ahHMjF/3mItqNThsjw5psfHsBbeFS55A4OylX2GTCmoX/rSDdxPeq2uIp3yzl6462nNaKq9QUlnnOX4v7NWptVZ4U3LlsBaOznHFxPH6Rid/CQcP2bqlpo/JFp1pzsksIJSz324ptsrLdQ1TWx98QVtQM2OiIszjFnMsWM040hozD/97pbfRi+Y/152QWb5ULMtSGvtUzcltLKnym6VmQ5Rb/uJNZaGlraxxazDN/XcRm7WIAlEYJkwqCfklCptzUUTZOVn//v3RuXPn5H977bUXjjjiCFx00UXo3LlzgFkk/JCbE/OlydGmZTDaiboEqbFwzuG74/8uPtJXHDqC5eh0i5mPl4GulQFTCSZQyfvU/5yDndu1TIvmpZfjxW5a6kLnZMy758TUBHfsQi2oNiT7JqcdvCuWbC63XdvPx0RQpUt7cegSz/F7Qbc9mZJLhmfj1umczJTgtvE3nSxVx6j96FjMmL3idGBZ6n3alcfuk3IU3ytuZW7B3a530fbgj9pairYSVOZhvDAxxAJdNNOczzxR2MsW1ZmLj94LX01fl97M+EB1g7GmTm3j9JTevymF639HT9z40VSlsEFzzL6dMXddifZzonHmlIN2ARDtTZsOrYN1hiVbU6ha2DGptNUx4PdtDkRJSYg0bvkoC24nT54cZD6IAPFT+aPSboJ0AmBCJhahvi6r8KIlY8pUwuMXH4Hnfl7s+XmVvO/SriXycnPSornnpSzdbdy6C8lzc2KIK0i4WBlwUN2BLNoLu++JpQV2wa2fo5IqE/qCsmrP8XshLHts6qYSTNu4tf/Ny0bX3drhiL064ud5m2zXT+q6M6bkF6fGiabNUtXjgIRhwS2Ab2euNxdhwFhQf//H/nCEOcGtS3tXaZYFZWkQ3EJNl1KlOw5jrkYLUPPwxs8g9rfbt8pDRU09Pw+C9hN1u6ZOVIcpUTl4JUqnIoISWEW5Jrw0LFjFgFMO2gVLNpWjaHttyr2KGrXTZCa7zgUbS81FFgBR6DeiZP7Fj/nK5gyVShYQ5R0/Vdq1Ut5j0MbE2lqrjDP/c0QGTxq3hkwl3HF6V1/P6+Q9HWOpl7J0Mw/RTkFjX3VRG/SkJjcnJtXsj8ViKXltDptiLLp5MmFaAFA/gqkaTpUUUwmO+0ft0wm/PnA6XvjjUSnP9rnpd4I4m+qq6fw2Z4y27xjw1m8rzMWnm7yHV1HtS9oyferph+yqnxCLm8at5T632ZKGzSXVbkZlHsYLE3RfHMW+PtPhDdVB9LavXH0M3ryuh3Ieguakrjvj1lMOMBpn3FI7n1BaZdZ0UyaditAlSkJpEeOXFwYaf15ODgbdfTL33hdT1gaaNuEN4SnJEGgfoNwnk4nOFyICI0IbKJ7p1Ca4Iw6mjscqhyXJbahExlSCSpgdFStdmy+PXXS4Vng3c0htW/IHXvYx1R1etgiCKI7TD9nV9Zs4s+pHS8OPI52gCKtnUtVMNW0qwXmSgx0LWublYMh9pwk19IV1OxZLaoen27lcJmOyqpdXm9UM00V7Q8eylNrexUftZdvE/vNJ+6Prbt79ELjauFXY5ORpUwWBSlNSKUNRlx1kXxv1OXjPA3cOOwva8L7X5lLzmwjtW+Xh8h77cO+J2nmQw/b/bjkBT1/WDZ/f7t0nhxPVDVjTGrdR2tf0+slERZcQSmfzpk0s5v+0gcnyaytxxBkFolBXoqRxG6W8RIloSDCIQPHTGURFyNg6IIdSgJnFtZaN22gUacbT9+bjPZVlyww6fsF7vXMO3z2w9C46ai+t8G4Da1uOxu1+O9vtwqoLblkbt+YbkYp2mfO+n4nF8oIK1zDp7irycnNwwgE7KYeXdZ2X99g7+fumk/aTxqPqqMK0czIVUwm8cKJrgEPjlozcZiW63YKqqYQ7Tj/Q9jfvFIAOsmcvPWZvnHqQT41eY1jGtPO4GrcItq8VjSuH7dEhwFTVibrTHh68El0UgLMlWb0TbgIYz0UTiY0bk5pxYQlQTZ3YMUFg5reyeL0XgwHBrcHW1Eaw2U404VdYavo0AJFK5kgwCM80h+O8QebDhP1Q2hhKPz277uxpUI+K6ZApq4pcw6Qzq7y0htx7Gr4RHHUC3PuWdq1SBbfOR1QnCkG3MRXhifO+n761TOHYYRh19dnLuyuHlS1q2Zyfc/ge0nhU5bEq9jQ7t1U/nZFiKkGwkNT5CjE0OcYqToPjpuZCNHplM3hptypjmVP7+/A9O/gqN1E2O7TOw9vXH4ucnGCddqlSUFaDZQobXSrwxpHATSUEG71vMlGzKQr1UtjO05A3k58sblmhHO03leSVx+3j+1i117mWUON2x/WoKD+FQSwWjfEjAU+RJArs0q4lnv+j+rw7SPx+r4u672kmI4QQ2n7IAvws/qPS5wY5+BmxcauRv6iUaSZz15ld0bF1C8/OinJi4R/TqqxtcA2TTsEdL62junTCdsnxuDwXWwm8Y+ZOzVZVx4NsqCCKxVI4ruwU9PlZ8Kpoj0Zp0stDttizaUi7vIdJ53tD7j0Np780WimsU2mJzYa9vvG19HjEcoBf5m8GAPSbvEYpHwSiX9k18NItqLx+wnTBpH+fjW2Vtdh357a+No8evVDPNE5YPPXjQqVwKr2ISFMxSLMmom8UFRufGSm4jcBMWmgqQSNvXueiMnv8ujjTP3a/zpi9tsRY/CJMadzGEHOdi7rH4Q23NtyMhjVtYvBfT032kS181pEg2H+Xthjz8O8Ri8VQU+++Jgwav47gTa1ZR/zjDCPxNEdI4zYL8NVvRmTUCTIbJiYPWjZuI1KmmcyfT9rf1/NR8PLsNQ9+sr5P5zbieAXXZfl0ewfegtA5EVOd2LFpxWB+EqZkKsHxtx+rGyrCyq3l6dfY1Klfsjdgo3GrJ6qmEtzo2DoP++6sfuzXma+1xZXJ3zabyhp5CL9nIYLi8D3VjrbrCpVU+h6gyT773p3boNvenRrT8ljh+t58PG5RONYYBQGZSXhy2xhiwQpuBeNEVE6K+12sh0G6siz7RmJ7yerxu42N4x45i2tL3+Qc1nI4J2uRJgdFpup/LObP30AiDpNEpGmHSqONW/XwpjaQLj1mb7RpkYtj9+tsu94igmbyVMf+dOG3XzG1n3RIRMwIRZHo1WLCOFEQUvklyDcwYyrBvMatH6cjQXHVcV0Ci/upS49UDpt02uUxrSg0iTCUXIYp7GIesVdH29+ysnKbaHE9Pzuam7LGrSPYvy4wqy0WtyzXb+Js53761vqwVb4F6AhqeJtex+zbudHOFSv4dIlS1TmZG7oTYNXwfBu3/GdNj7cndd0Zu3VoZTTOKBKBLtkV1e+g7ZsMas7JWnOcq3hd9B2kOL+IwlipioogiKdxGwv4BE7U5+AmtTebG7JqISo3ndJk6wbPf8F+u7TlbiqY/GQNcQtT8ptMd6VLA9uY4Bb+82x8gyphKiHibd8Lv9t/J8WQejbYTdW7f11wGBb/90Jc0M1+bF9XK3vAHT2N5EcGu2UShU1Sv9W1GVb3yEGC2yzAl8KtsVz4JMDegNX2OmqfTp7iCGKDWrbrrar5Y5ru+3R0D+SRY/dTnQw04XVSFIXJlNsgLc6it7zvu3MbqR2wRHoNjiP8somXm9CVt7CxLPsbeHFOFkR/YFnAIbvL25VX+7w8TJoHMImuxm2fm46zXfvhnlPx9GXdbPU7XRq3gTkY4bQ5UVKxGLBre3OC1mtP2BfPXNbNWHxRJQJdsivKgn5PcbuH4fXfXpWIWsk8bEezazKCqM8OUuNWVG+iUsxu4/jenVqnKSfq+O0vVDcuvKAzv2Sn+W0F8zNePTG5GRC3gBGLCpJ/+zU7oIrX+t+htb2cGjVu/S3Cgps7NBH2BuzuhtK/96yDlcLFYnpjYdCa/7rxH3/Azuh15VEB5aYRdtiJwhzIv/A8Ai/RzCHBbRZwxqG7hZ2FSOAc7BOwHeeHN//OU9yqO2Xv3nCccucs04KIugaHF3TGi5jjX12CKr3WLdS7VFdHWILrFTXuTq14uK1LE3XYqQkqy6ebpg6vnjq1NJUFt0qhvGPBQpuWuZj71PniPGSBxq0WVuOxbR46cnZTQuyHzz9MKVzvK4/CjT33wzFd1DbqdI++PnHJEeoPuKXtUQ8jKh7rVcmEEU01j7r9gmWpPcPTuPUqsEiYXXAjE76LDrwj1bGYOa1/HlFXaE2XhuV+GmZs3PC7+d735uN950Fo45ZzeS+B8JuNo4XgO/DmbqZNJbD4NTvgNV1VnL4TYoiFZqdZ6Jxsh1ia/UxhmyT55u5TzEQUA3Zu11IlmFY75dU7L1UkkaTf0g6qSrF1NSrmchL4bUdRH+uaAyS4zQJU7JiJiIx8MMDejdW08LoIUu2sju7SSXkZXlkrdgrldXPZ72LestQXfCJuP+1A7nUv4gmv9TMowbfOxMxVcCsIsCUgu6eJ5OobHDZo/Wjccm5bsL+7Stt58pIjU2zcmiaxbu8g0Up25jVTNW5l9oF13siCuN3GbL/lsZoSmqiacrnuxP3w/B+P8tUPyB71q/3jTMdLNmMxeV2OGlE4BeGGaha9fi8veBWytFQV3Aqif/j8Qz2lGzb8Nh8L1FSCqP8z5ZzJL24bsKba5n1nq2nqAcAfjmo65ty5bQtc/Tt73+43R7sqah/KvpFI252Xty478Tc42fqoo+lqsrt0apunzVSCx+devvpo29+xmH8tYeM2bhOmEpjaELYTwI5tzMwHcmIxvHldD8Ww6vHmGtL0FvZXmh853evEKMyA/Pb1mTCPy3RIcJsFRNGToi4mprei+RcrQPHa52h1VopB1xRVCu95HVBat5Qcj1TAAjDyoTN9xSFCqwgTO6oeyyGo+ZOOrTjdb3j3mQcBAP7vD960+dw1bhtxChRlr+Q2EeVNUJz5cCuzP5+0P/5y2oFaGpyeSNokEwdxfjMVrQMR9Q6TFOlEVve0TCVYljC8jnA+8qYSNDVuVRZoR+7VUcPkjbcXqwuxjpkiSse0Vb+C7rikUl8+ufUE7nWvAos2ElMJKq2x+z6dorOxr4GovILcSBOVUzTEtunRBLyx535a7eLoLp2Tvxs19+z3/WZZ9Z2lNm41NG5FwvuKmiYFDbYf6Ng6D49fLJ7rmTaVEFTcMrwO+2cdZrcF3GgqwafAybDYLPFqtnlQyBIXU0K1GICd2qrNfbVs3BrKn6n1XVC2v8OuBzL8vjJp3AZPhKsPYQo/A5LpNnjKQbt4es7Eul60c87uNnt9X9VJg864dM3xYu0xrwNwa5/aspZlaXlt10HPwVs0dwW13sFN49bx96MXHoY5T56Hc47YI9CjbE6BoqysqusapHHlcmYoFiybmQC3Mkt4gg16MZHoB2Tv6yx23tFlFR698HA0NIS3bJcLitTL2fkGrG1Xto26tbew5IvKGpQ8G7eSRbuKIO6Bcw9R6ktjsZgnIYVlRdeOMg/RK0ZFg+PZy7v5cmYnIzcn5hr3gbvybXJ61e5W9bAtGmtzYrFIHfPcuV3LpN1SWVHy2mYsFqz2a9QXs+lwTqZbus45jnP89zsHDFb7kSu5dYV9x0F3n4I7Tu8qDmtw9R6Wxq25rYsYd66pFYPHV3Z7AzbasE0lmPquORpzkjCckyX6BhPFHcQXY+sBO+5EYa7jt446++WwtcybIyS4zQL8tMModCSA3fOiV0Q2JVmhgdf3VT122JiGWrid24mPcnlVom7jU+M2SILYhdyzI19bK6hqrTNIuU1oUjVMYuisuMvtiR3pOU0lyDjOxbssT7spbtmPxrtNFJK3WY1bAIcadtC33y5qQjQdRGZFcnOAuhCFaqaE4E5Zx2vXHJP8nQkat6qLf12NW5WNlRjUFgWq4Xhkkh1lQ6cbA8vHzScfoPwdztT0K5Abi7m2EVG+gnYkFJXv4sbnt5+o1D9zbdwiVevQJFGZR4vwu1i/7oR9lcLppOKcU5vWuA1yI5gXtcrUkJ0/prPK6J6CMsXvHZqzXonFor85AgTbx7Bceew+3OumyqixvBXnThrrOmOC2x3ROOd3UakibPtiq0QU8ue37TurRSa0y0yDBLeElHS1ObcxwLKAG3ru5ysN0SL29EN3bcqHx7iVtVdi6noCsg7P66RzN4Pezk2jo0GhKsgf/PdTMPaR36c46Atq0m4yXtNHt1TT0xH25OXE0FHg9A/gm2mxLHsaqprHNhu3sRjOOGRX/gMM3ffp6BomwRMXH+kaRndiWdvAVyWNIYaHzmu0EXlS15214jSBrMy1TCXAbiqhY5sW3Hjc4jSlGarbZqTl4LH9xaA2+ZVp0jrLzovgp1GLUPsxKWMf+T0u6LaH2Ug5/OvCJidzaRfcyu4p5uW/V3TXSjMnx90Fnei+F43bo/ZRc8onI2oOUtnyOamr+GSXqA93ah2aRFhWEdlXcZu+un3q3lcdLQ+gGA9r15adUzf2f2aFMMpjueQbiaoML2beGsGZBZ02pbPB7sbLw5Z6zocfWrfINWKHPcfAWGd6c8VKnuBqura2WGz+ziSvXH0M97qp79o4J1ELG47G7Y5/ozVEJYmyczK/n4CncESYhQS3WUAmtBu3HX8LwPOaiyEnTuHAezceh/dvPA7XndAkENYZZK46rgsuOXovDLzrZHVHH1DvyGTBvA7A9559ME48cGdcfPRenp4PcpDRGTBU5Tx7d26D/XdplxJ3UG3C6O6iJK4gPkOiTBIbJKcrCEYbHY2JM8oTKuzavqWtLbpN1pp2z53X3Qv7m7tPwXd/V/Oku5OCvVq37/vJrSfgEqZtCRd2MeD6E/fDuEfOwktX8SfZQeIs8/vPPhg/339aY94047KZRBCFSdMgpK9xazZcIg/qGrf8cHZHfN5EyH776reuPzbl2v67tMM5RwQjuGXfcp/ObbjXvZDYIHHyyW18m7HyuqqWl46tW7gHYsjLcT96KtS4ddS137mcggDEC3sdojatZMvnoN3aC23xi0wlBCm4FZVVVNbsfo+Zq6KioJHAKehMedZnBVSX2+p/JV4fsgfn9Ne7NxznyJP7WJogyNMU6XSLYkK714SSg9cYRN2GfwN83hGVqc668alLxYoMMY1ZiZZzMmMat97iOftwMxrgbthMJUBdiSUd+BXuO+vFvy44TBCS8AoJbrOAdGvuecGts4hblnJn/E/BQs3JHh1b46Kj9rIPFhpFtXvHVnjnhuNw4oE7o6Wyxq16/KYcCLF0atMCA+86GTd61F42YbJChM5gq+uFPuUoWEAj5P4Kx+0TqDoLSzcPnXcoPvvLiehz0++UwsvmWk6N2wN2aYt3bzzOJrjlfYs7z2iy7ZaoFzEPzTQvJ2azu+oXt3qTkxPDEXupa/nut0tb21HnngfurOyt1w/OjbKHzj8M3fZu1MLTaYcXHLmnRLNWfRFqCm2hs+IDOmUSi8WU+heZ1kqKJlYIM7WuApuqphnw156NP2z1qOkPv2u5fXfme3M/dA++qRVZekGa2PEaNdt/HLx7e6H3ehad9xB76FaPIwiec2zkO7N58O7tuc+JhJTptioy4I6egdrV1YE3fWV9LJjI5r47tXVdi9gFt/awKZvvafJzcOCu/HoEiOfDvJh5yilO4TT7p1v26gSneVToupu8b4+aNr0bsViYmyDylKNUlG5j6a2nHMCEFQfOkcxdUsOqF4ApG8CJaDq1acG9LmJPjiNUr1kS2aQHHKYSmOoTBe1Uv8Jz5/B6+2kHonULEjWahEozC/DTF6SrH3FNR2NUPkzR9mU9Z+Lj9X15R8J56GhPyTpxr51rUgjmcdLrNoE/94jdcVH3PeWBBARpC8cpvAsqqdev7aEcNkgNHx5ui8REmbTIzcEZh+6GdopH2GT11LkwGXjXyThot/Z2wS3nw3duyxy53/FvQVl18lp1vdwpmkrevMC2u/dubNSW+fWB05PXauvj2psKbJx5uTFc3mMfI8cHZZiyYffwBYc5BOqMsJa5nq6FoO73Vj79oJkPFbujMsEtm69YLJzN13Q5lTjloEbNfjY122+fdUfU7YleL4YYnruiO3rs2xnH7NvZcS8YVJyTqWjcsprKflARKIYt3DloN7tATbWN8G3cxgJ15MdrS6cc7H6iJV3wvuVLfzJ3EuTcI3bHX047wF3jlpnos8oQMaR+33RUvztOO1AqgJGdqHGSyxkTnOHs38FlkzjAAnCbH6hsDqli4jVi8O9c0HRxJrLjjPa3f/JPApjiAInyiNuYztpml5qRiumsYxUDwryphCsEtn5FmFySyepj2E7qZPidb6X20zEcsEt6lACyBRLcZgF+mqGXBeM/zhVrvFoW8M4Nx6Jj6zzce9bByeumOuy//f4gbsfD076o49iI0snFucyRUWVTCRo7lbJgXidtQY8XsVjMs1BI5510hZ6P/eFwnH347vjwz41apGwdufWUA7RtEorospO6xq3bOxifSLrc9zJgW5a8nuY5VXl2BK63adxy8mJTv2tKi00XaDLncOVx/AlaDGbLka2jCcE2q2FbWx+3vVsHxv7vCQfs1JQvm0Yh/3eQ3HzS/sJ7qjnIiTXaqLM9m/rZdoRNk+BWIUy/v5yoFR7Qr0Mq41nj4ocfLuUQiOHic2aPp5WeDsHtp4y5ApHmNpsL1Q1SFUR1MhYDbjppf3x/z6norKmx45XcWAz1cbkGnah/ZvvYnJhaVXGGkZnFEcUX9tLTWT9Vv026TSW8ds0xkfes7ezHnRwk0F5W5alLu6FVnrtjXFZ27pw7OL9vOkr0VAVzUTx4/TpPWOPsg3TmYMfu29lmlskkboKlz5gxNAqY2KBnYzhS49SUZSFpZoobryNvXXfz15ZkDPhrT6GJGF5enLBrN1nYwDRuOf2kl245kfcUcyuuT/ofAy4+ei90bJ2HN647VhjGZuPWd4pmkQ1Vbpr6oucjcrCk2UCC2ywg3er3B7o07kuO3htznzrftlhQsXELuNvdrK5r4HbOI/5xRsq1Os5CiR1kvrn7ZBwmOE55zL6dbbbklJ2TQV0YHoSphMRjXp93639zYsD5R3qzgagzwOsOBLu2b4WPbz0B53fbc0daTfdO6roz/iwRZAWFm4KPl02TQ/do7/ldvPYSco1bx8JkRyqsViqv7bOL6MQzPIP+n9x6Aib++2yccQjfi3vjRolBYQ87seXcr4/HbUcYTzt4V9x6ygF46U9H4x+MCRf2WVYDLNEGgp7n7NqhFS47Zm/uPV3zAaJ6KjahEBxu6Qz4a0+bVolqpdetQyoaFTKBrN0Rn3khRbuWTRsK1xzfBVP/c440D0HBehVn65Hz/ROojrMqiF6vpr6p/TrbIZtHt372r6cfqJyXnBx3jU/R18hzLLa9fLdj99vJ9vf95xzCxCnIj2Y6f/pdF/dAGqQenVdD1DaDWlxeeVwXYRlGZT0rOqX23d9PweMXH+FbQJh4f7c6s9/OTRvfTs1o55PpWNe4pSD6flyNW/4OtSOMPA6WnJwY3rnhODzAtFVTuJnmScfYcEwXdQeKJhy8xmIxTP+/c/HTfacpn9pM0G3vTtitg33zM+mczHfO1GnTIjdVWWIHKntHbN8oCx5T3E22EK5zspTrkrzk5cSUxwDZ0f9bTzkAc548Hz0cp3VY2PYVNaGmbO769Z0nuz7Pe5w9SXF5D/66AwCO268zXr/2GPx476mu6WQzJLjNAnx1hQGNOk7NTLe+XfX4cW19PCWuP/2uC7fDrquXm0polZcr7KBvY2wBAXoLSvWdStk9bx8m8Zzo6Rf+eBTe5jilSeA2yOTEYkKBkBs6r+RXOyaMY9xO3Oq0LFtejoUFNUGQ5dPpnCxRp+tdbNwu2lSWEj9vlzovNwf7dG5jTLjghqhNXnN8F+y3c1ucd+QeNsGtZQFPX9YN1xy/r9iMQAjaWDGIj/PrOp0Qa0qq9++mcPvezvoYlAkCdY1bwfOOI7Om6zFrBqVVXi43vyoO1rxwxqH8TRYW29sz7+6lDxObSlBYeDoeZh85ntGg5/GfPxyhbK86N6YguBVkl23HOYobVbIgwx48w2ZjXIRu9ThcUxjihvM9lTVueUfWkeq81iSilh7EmNy2pbtmK8ub1/UQ9kPH7rcT7ji9q+85ktu8M8HxjDKEc1xJ+d4ucR2+Zwc8c1k3jVym4taWdL4fr491livb7/PKnNeGvFShvJwYDt1DrPnpasvf4Hgkium5K45Ser5Tmxa4oJs382zOfOzWoRW679PJ0/za+R6JOW46lxey76IyJ1Ex8QTsmLsovpfO63PN2HgovwbO9+PFc9Q+TZsDuTkxpXVlTkze7lvm5rjO6e3zu2hJbt00rRVikN69+nf7Su//8dguOLpLZ5WEshYS3GYBJgeOXdu3wsPny51/qQ567CDjNqiodm21HGGsKGq+qQSnGkfqw31uOi5l10jVVILOKCb7bt5t3Cb+5T9/Q8/9cKlE8Cqz9wU0flOvQgYdAZbfoS6M4+lOXE0lpCkfyfQ8Jih7zDkRTNQNu43b1Od434S9pjOxNlmONo0EJuKX/nQMxj7ye7RtmWfrV2yaw4KMsNVe1AR2bd8K/73cfRF6vIJH+WR+FDRlpc9zFuMiYW1UHGSmaOlJsuWnW1AS3ELcD6cILTzk4QaJA8q2rdyFO0Ec747FIHTkKdoAYLPhxTnmhQKb62qCW/vf7CNu5ROLxZSdlubmqmjc8tNjNyNisRjX0ZQrzIsesnt7W70UvaVu+zAtpEwtf7UM8YUDaov2oFF1rCtD9z0uO2bvwIVLScGtJJ1d27eStK9UQZFbnju2buHbKY5bsehsbnFNdDj+Fp3oGXBH40mRvjcfr5yeDMsChj5wBu4/+2Duffe+zUg2pIjGqDtOO9D297lH7IFYTF1bUgT7Tjp7OImgzjJp4AhuZWYETSA/pen+0djvLp0bQX1OolNXTCgxnHLQLlzTTzmcjfLPb28y+dEqL0eorcySmxOTzkJUlLhEzsmigCz7bv3Cn0/a39VUAk+oTuhBgtsswI+2jvPJJy45Art3TPW86AW7wMLMznZtQ6rGrShunk25lMmh436H1nm4sPtenrU9dAQY/ne+xOl7qRI39NwPF3STm0HwM6HTedRv36+zaRAU6fZi7Sb08CJcs2BJ226qqYRG2MGbL6Rt+p1YiPJMJSTjlU5Yhbe0kafTeI+1AxUXvKdtSaq0iaBWWfbdWd3Gst9ycde4ZcJGZKbh1r+bQmVBLxPIOgVnOt8qFms84iw7ys+aShAhXESlRXOffX/vi5wLuu0hdLKo0u07hWBsXlTMYaguRP1o3Dr7Fb8bkbobN0HA2gYX4Sx/ZY1bwTcJcj2pmrc6jsNcXXTnFY3fMdg5UFJhQJJOYUWNLR8p3xfO7+2yZoDlu466PX6oQIuc95yKxq1IoeCUg3dFv7+cyB/fvZy+QmPf1Epg23gPlzVeOubMIs3xe87iC5v9w4wznp62l0li7GCv79zObjPdNFJlH03BrWwc0VHQ0WmDznnTP887VLt6v/BHvqa2s8q+df2x6Ny2ZfLvVi1y0UpBASsnFpNWkJZ5CnM/5nfUxJjS7+7S7p+9vBv3e7PvqOu8mUglIsspIqpwhaCG2h07SHRqIx/QVLUIeBq3iY5kr05Nk5Guu7XD+Ue6H69RXejLJqSs86JYTH0S73f3lP/cjn89PPuXUw90TVfpmKbgus6Cc5d2Ld0DKRKSwq2r1qisLIW21fwswLxuBkieSzmaviMsK6TgLQLYSWZioOcJc3nhU/JncFFq00gQxHv9iU2ajuwcxS7gZCfITdcTEyNn3Yhbat2uloBPPSiXIzgOPETvaFrj9uSuu+BCT8cjvQl7dFHR3IhxtMgS5DjK0Vl+HQTCSKBRo/XY/XaSTrJVjlOrapOdffju7oEYbjv1AABykwn299eK3oaz/2FRGaucXXTx9trkbxWhrOqYlpsTs5mP4SGKia1q6gtqexg25dRNaX58MdgdtLqhoy094/FzXcN43YQR1esgNW7F23H2NNcWV/pOy9MxbwP94NESm6Sq7SDGGQsT13U1bnXSFebHpVblxJr6M7fneJsRzuypajz6JVFHeG3hD0ftqXSyLmjaCjYXRf2ul9MYLOwrubWhv5x6oPR5gJnjMtdzA97Blgtb3Z+32UuXhIvF1OLT7YrY/Pe+8ijcd84haKWpNS90Oup4I6dJP8uCkgPFvJyYtK61zNUzVRM1ZHNXt3bfaGM/9TrbnmQb1On2x5SpkOA2S9BpDzJj9yoDtkwIy3Z4bFwPnHsITjzAv4H52vp4Sged6Ei+uvMk/PX0AzH1P+dg1ENnog1n8Wo7jg1L2SGCrFiq6xqawkFdiCGL07PGbcz+r5dnZfjZiFd9tkVuDDv5FNyy86ewNG7/4jjy5cRrrrxOYL3UCcuS5zPV83fj31cd1+io5tSDd+G2KfZakxISI8x1Cm4lI5nJuYDKMWT2qJTdyRofu1MmfhhVoYLOgkoU1C2KY7p0wjXHd8G7NxyXeKLpWcFbmmxirVvk4Ms7T8K+O7fRfjZV2BNM21c5oivTuM11LKCc+Zb1fypVpb1E8JtAtS7pHkc+9eBdMeWxc/DJrSfYrtvNbPB/6/ZszldgHcgoLTwdKU7OL0r+VtNgck+jMS/uGreiyuIUcJkezkRCjFgshoMUvEzr0m3vjkoLaGf9VF30cY+sx7wf4Xz60iPdAwmy5kxSZcPHDS8KTSaqzLd/O0V4L1Hmbp+IvZ0yd/j/9s47TI7izP9vz+7ObM5Jm7TalbTKu9JKWuWMAgILBFgIAZKIApEFWIBNsLGFgXMAY8Lhs2z/zsbm7pw4G5CJNiYZI8BgZIPxwRGPKCFAYbd/f+zOTHVPVXV1mu6Z+X6eR49mZ6qr3u6u+NZb7ytJW1WcuubQdfdtwVpejYo4Vqu86yqLUvtsrmGMYtlx3KgrefVtVU+z5XPzso8RtdviaB73GaRjui7btLxh7WS6nNPmzVfw+nO//MbHka1lvNxojHA2k3nY3Qwz+msf/DyqvpTWTjf6Rf3Wmh6xbIIu1MpoStd1NYtbiyBmBSoWt+ycJo2uA44ZChAqCzYpewYq1deqXsBVgnuguM0R7AwX6xjfeFwlqCSzDbPajVG7JbCDRE1JjH62yTpioRX7+wdS5Iv7nx1eU0KXrRxHDeWFygpYVZcIsudrUNzaUaxIfnO64+23r0lXuStePKOjxk0pQ0UlC1NZgPvBqp5m+v7GaeIENsSqH1JIrJsh9mtpNV72c3w+q2DHTUH8768cMZ5uXDuZbj6+l3jxEHjWtUaLCHN6iQzCX+yj2VxYsZN3ozUq/3N84m1+E6pzHTv3KvZxK89ldEMZXXt0NzVVFg2lZ6+1/uyWeHs9fX6n7WtTFv8+Nf1CBcXToEJW7R2YU8kWgCqLJWOgP356Pze0GisKOZs6zGfif+aJOqWtUliO+Tk2VyaV/SpjqEwJpvJ8VMfp/IhzH7fm49VqgfGUxCIi8TOwmguq5nPv+fMMf39ZwZc3UerzV62uIr/DTteTUaW2rl4P3OLEcphtJ7ee0Et/3LrIdh4y347xPtvq7mRug2Rz897hfKMP1XpeWxrj+odXuZx3eoFXbjVns01kZDL42b/+N15DzK6sBmVSs6zzm4K8CFcOc9nx8cu1j1vmM8+oh5dusNz4/NT4S1xBxX7rdyBatwGt68uZjU0P/BxbnSIxY7BI1uLlaLRt9SRDYD62bHOfKbpPq/sf0HWuda+5jVr5uFX1ax8nnWrMrxwxgb6/cRpdf0y3MI1oI76hPCZ9hnHf07wkbNusKvbutGyuAsVtjsAbaOvLUh14m9NaKTLNXPm5VB8nG2a1J69nOkHWF4zVYkN1Msqb+JYVqvsVSlnYW/wdR9ahsYPX4KRITRYrH0NOSJZt/3qVK9wcBUpnACPzUeSgGFEjtliSSWVuDj88eTr9YvNsOr5P7NfSqgUVqAbYMyG3DOcroIqj+XR4dxOVFxZYBiLjKTTMu7bpspq2q+Q3iqlxPpkVnPz8/bC49erUnkjJJrKgdEt8QVFbGqP/OlNs5cXDbmRyp8gWfmzhbPlHMAEvza4CzHLLFlUqdYUdk0TJg9rQIhIr/e2eJog/pmuPnkSzOmvoLMY/okpb+fzUQUufbs4xcE8tmBQiWouyMrwnzdncQFa0zC2PnbJEimnzEXJ134mp8qhQyVk4upl7uGkmXzX5Y/RiHHOiwGJLndxamdiU4/3uBNWxhi3HfOqgs65UmJarLCD1tlBWmE+TeRtAFpdrGlEhz+LWdGHfiGpaPDbVpYz5dTuxuHVCvI7wXMlENC0lqGxqGj+kSoU3Bvnlep0tivdORYjKjYdQYfszlY0ZN27g3MZFKS8soLvPm0u/u2C+dPxXbVcHbfrsZqudahWT+Ylm+ZQxoOKhE9FIUx/DI0/TpFaydtdR6TRALSzIo4Vd9dL6LTrtYiXnJYeOJSJ+v3WAiSc0rb2KNjkwugBJoLjNEXhdmXAhIDtu4WDAvnSoQZthfcFYTVitOo3rjp5EoxtKBxXHpt9k/gDNmAc+dgeSSOI/RyL+hUuNkUSd+Psy43TnNhEJXvFydlGlFpVULd/4UXmjbGrXeqEE4gUn89JvriqyW7Fzn0UFedTTWum4Xnx/wzSl49M8/veDT4W/qRxntZKZZ7mQYnEry0Pwk5NqJAowJsLgKkGw0jS6SuDnqjq5s6OMlfmulGEWRbTRJ7KgJCJXbnFU/bDxSEnv0+pYOcgFU/ycUXXG34YYVNwarzUvqm45fkris4qRCxsESTgPsFi8q8CzYhMhsrZz84ril35+aiv9+NQZpvHM+vqjpjTTr86aTXeclnoayG6wF3k6a+skUU5s3zfo49a6PHMSmUJc7CrB3nxQpLgVbe5ZYU6nWk9445zfexSi/OePrqPa0uS8wwsryyUcBSER0fqZ4k1d49jkWoQURCdJZHKY69Zw0ya3Uj238Tx51dxKoa8Rf5OOLXZKWyX99PSZXItk2Yacal1wo6jnKWg1hc0fVdlWSo5km2XhccaCVAWPX5bI7Lvmub9IpFOcT8b7O9FmhJlT546g6e3VtHyCE9/9ctmsymYZ01hOI+tLLdYmflncsuO+6oLQ+GdUMveStWddJzpknLXPdqcWt+M4MSEGyw2X6wCRxa3VRljSHU5qGjb2kKZpKTqRxG825MxloLjNEXjtTcUfYaovSc321qaoIy0wWNzK87CytDlmaivde/78lMkdEVGpQoTiOOYncuXh42nuqNrk76JBW5Df9o3TaERtchdP09SVrm53T7l5mv4X8R+bZtLRvS109RETUq6VEe+8RZE941x/zCS67uhJCjmm4knnzlkgbN84nUY3lFoGyvMSeQA6b/KJI5of9I2opoU2AwypYm7XvHrLdWbPtHdeFFJzfyCzZFA5YqyKQTGqcHm/ydqeByuGSFem67rSAm1MI39yyCtTRR6+LNKcOZ9S+zKVRURzJd+HraPJ/RB2lERu+hnVII1s3WSVvcYNAs30LFPf0fIJ1gtkltrS5IakqH24tbj9+lET6crPGY+9K+do6J+Tfxw/Q6x84mF+37rkN64YmkaTWiq5yhmVcUI5OJmm4CpBkBf7niIKShe7iCyBB/sQ9bJE92cW14uNbRnlRc42KEWo9MsyUVmrRzcBlkqieXTbCb20njnhxvKlw8bRr8+aQ//v5D6OfBr3swq3HN9rmUZVaaQJ2j0RUVWJsb1ZyXnmgk4qcGkaalnHNL5bHI2Ifn3WHFrV00Q3rJ0svNwsnsHiMA1aDJ6rBBV3K6prmFqXxhCyeCsJPNJ7sc+7obxQnNBcfDwGmVlxy3HxJZunXrZyHP1s00wl/94ipPMZhQpliPEiea6qQTBtW9wqB0czpmMNgcyKx66GQRcLbHByHgO6Tpqm0egGudVtnoWPW1Hb+fGpyX6XTREuta341Kyu60p9Em+9dqCfo0cCjoHiNkewMxljO8UBU7/rdlHATkzZHWhr/zPqZZgHlEMnqi9q2Ut1nai+vJB+eNJ0NoX1hbL8bbwHt/6KuOVr8f/l109tr6brj+mmmhK+Ow0R8Q75uD6xr9XhtSWkaZohUAyRDUsbD/p8g1/AIZkntlTQvefPtxUl/eQhvz5xp+9ERN8+tkcaYVkVp/7uwrSBm3o0PfWeeIM4294TlgvshpKpX5IpmUQ/OXm8dtsd+y5E1rq8umh+hyr937hh5dzI1TzGN1VINqHs3aNZqcj9bLrG6igmEdGPTp7O/V70HBvKrfsq8z2nY3EsQtOM0Ymbq4qY39iExnbkVqFaVxajS1aMSfwtagdC623F4jVSs/7kZsvUd3aecM6i1IW8rGmk+EM0tEd12XiYFUk81C1uIwo+bkXXJj8//eqHSmWaFdFSVwmC3wZdJVgWlUCoADbdmXqdMSaUWVqxzOPEYPC7G5DNtw4yg5mbsbu8qICWjm/kHn8nGgxENbGlguaMqk2xhJRZulqhYiGo2mcZYg+Ygu6NqFW3uL3y8HG0eGyDmssaGnz/Th8972i0pg3OJ7997GRqqSoWl2tW3BoUV2rPzImyP+njllNXNOt+S7WOKG1gytY5ES0lCKn4VJK7iS+b7bGmYFhK15veV9Lill+nVeSwLYPMItLluzCnU0lqGXDThLnNC8s3ycIaV5kV39/bMJWOndZqWsenEq8+KSJz2uisTnGcFdFzTqdBkB8MBnu0fuu8cf7AQeOCLUj3hNkAFLcgBVngEk0jz2a57KTBS10TK96E5nJbHaZVhHu7Frcp9+V0IZsiU+p3sp395HWaLTFEihgRssnBigmNdM6ikbR22uCkSHaMXnbE1ovq51UQiEtWjKH/PGMWfW110sJ4VU8zbVsttji+9YSkhYqs6Pf37leWw++gByKsJstWAUYGv+MpbpP58qKQmsuV3b/oFyfv3e7Cig12oKLUFC5KSLd81qWxfMuFwUMXLaAfn9pHE5or6Ljpg9aLs0faC/bHHRPinw3fi/tNlU0J0eTunT37uPluWdqV+LxU4cgbkX0ltR3YxQS3bI1o96cHE383VfADZ2lkUqy4bOs/Onk61TMWRaLnLFIAqaJp9toYm5Rd8LF1WkXhL8qTyFh3RbKxQVBk8HylmlF9VXkRsrT0EW5AMYW8+v4n0hp9+WHjaMsho2lYBd+anYdo7a2ZK6YFomOzVcUFVMIo2MoVYxKYi1ZxT0Lkve9mlexkaVhrJDfz4Lj7E15Z60wb6fK5pfd9omhcajJbwTHJzNfE8vMMVmsy4v1biaL7J534SnNLv9OkUZTbJykqqjWNNi/sNPwdJx1TOm7wL7JuI34GTrPCNx+3htMvefSPrx1q73qTXDyDA78tDWW5qxStKl1EU+v3zJaWVrDWnlLFrWHOqRlcP5mfcUtVMV1z1CQa1VAmvcH4/NqqzedFNGlwL978rLmySNyvhsjQRoZO4sfHbpryhvl9Ni2vgRwobnME3q6siiWanejtdmF9wfDM67+4Mukbd0ZHqnKBd8wnNY23VVxUovIgY+PxyRbovImVnTdjZ2c1mX/yj298nj9wyWTuG1FNFyztovyhd+LUTYB5ALzs0LFUWxql+7bMF19kzoPdBXdRp/PzItQ7vCqlnokUQsf0ttCy8UkLFdkiyZaVOftZmGX6Zwgqk0Xu82dEHeBYLpjvRDYhFj1jR64SFK85a+FIGl5TTF9Zxboa4St9DRP7oT/M/bVqXbBadA+vKaFZnYMKxXFN5fTnLx1CPzzJuBhms1gxZE21bHxSETrVFMFbFIRME6QhUgtiqLbQ4LdjXqTvQfnkf3vJl5l3z5WFjNZ27HhmHDOMTy9PUzumKEI5YJYp2fLxfMu6wyc1cb/XNHvBq1hYJZ/xudjLT+r6WvDb+CbxaQm2n1HxCa6qZI9ENMO4wEPVpYXsGZ00ZwSdrXL8mEG0kNV1e3MOkfVVfl6EGhgFXnWp2vFqc9nKAYU4Qj/3+kdq1zpE9pzY48RujAbjfgTNZT1x6WKDyysreLK6D/w0NK6ZMppi2qBny+b1HWybU+kKZL5KzfDWSFbvQ9P4G1zK82simtnBd8WmHKTPxeYj33WVtasEs2jlnJM+D164QPE52JM/XdZ6or7b/Lz1xPdGeD5uldzzKMrHvdbGuomH+nhtduDER8XidsnY5NyS3dBPcXMk2UBU9aW7cciNDO/UhZ7ygU9E06ipsih100lC3wjTnJnVsSjnEiwDElcJz1y+1JDOzAEobj0FitscRtTtsh2muRF6qbhlF2S8fveUuR30yNZFdMvxvXT40NEutgNY0MU/0u7nuC62uFWdZKmz/6C4s0vXjrfovlZzgosRWfgaVbC+FKWVceq8DnrysiUpUYdlOFWmO8lf9r1XG/CqvqnSjYrFLe8ZGC1u5b/zylHByXuPKNabC5d10UMXLaR25ninuE7wFXYsuq7TpNZKW/KpUF0STVmksX+tntJCD1y4gG46bgo9eOECuv6YblozzXiMUGRxS5JntWl+BxGJlYFEqj5Ik5+VjiGaj2VbXuEcq7w1jeggU7lFLiA08tZqx3y5Sr3cvLCTvrmmh5tOdFQ6oqkHqyQy3jPbvlnFiN07Txm/mG5DNMYcNPthYS+32bmqbgrGlfEvfmU5/duGqfxEgqzM9cHJXrWTIWNAtz4FwCJbxO/dl7Q8Vw0ma35/qha3vDnN46+8b/j7MIWgSnHYTaI/bl2kfF2cA4bnIn5GVpbgBxMWfsb7qy8vtJxP6YZ2IU3qKalzQmYjzuJ0i2zOHf9FtIHHS8+ryiruS7iuEpRKHbxf0X2quyNQLExQPi8/qzGG7ZM7akvo7vPmpaRpry3x5ESL+b0Ic3RvcqtESxX/tIL5WSbqjnkwtxLDzfuUFOClmwZVi1vZWBqnsjh5wkLZv7nBCEJdMbhi4jB68MIF9G/rU8fYeD2zqkbxkm1tIEiSOnXxcd6SUbaCv4pgn78MXRffM+uShhuThHOLZleJQB0obnMEbsRUBUs0cxuMaOTZFhE7kIgmSM2VRbR8QmNCVlaZuWFo90x2JNXJGBi//c76VEWgaGCUKiEdyEBk4Rye03JFyRs5jvZ598FzKaGqqErKJVPcWvwt+JySDzdve09ZtEDwClUFv1dHtVVuPwiFropc+RxNA9sdqEwEpBa3gu+dWFp7VVesFPs8H7dT2qpo+8ZpwmNaOune1CeTInZEbQnl50WovbaEju5tsbBuZq8Vp+turaRnrlhKN62bopSXCmzfI6rqKRsnPh5dtJZfMyxsRIuWwa/FC/ofn6J2fFhUjkqdmT2yVugvUtT3apq9fplN2y+0uFXOjohSx0mVLvCg5Hin3S5UdSEa3/AsLMgzBDNlEWVlLsPrTV3ZwpLnxkaYVqIE+/izpOJW3dLQ9LfqdSrzGBvPcGJz0kJbFAhXlh37XGSP02qBLQqSxJdH1of71yda+WNlS7Yan1XELI6qu0rgYXVsmoh/8k/1GUZMSlJnFrfO4c6lydriNt8ks6qhghPYV3DN6om+jdktgmCoLFd9bjx1CzbQzVLxfNz6vScie95KJ5iU+1C1maaKJWwls+401itjCWzfYW4ndizr24fms2bibd3c5lPuc+gLO56kZOs+p8uy85aMpmsdBvg2ymJCeMJGTVJegPh4gLgaJljhI19YRBcv70pJC6yB4hakYHCVYP7Nw0HTEARNsVNgfebMHllLj12ymLZvNDodFx3dVeX5q5bRM5cv5R6FFC+ekp+/fpTRv6mTyRiR/JnYyYf3yniXf/vYHlflENlThjl3lWBHIlHZyc++KG4F0xrzYG++lxsV/BRzy5O02WQav6eNqbDveOm4Bm7EXJ5vR4PFLS84mVlx66AuOenLRFaRKggtU42puN/Gn8eCrvqUIC1x/FDM260yIosh3iZNRVGBcDGxsKvOtsUtm1ffCL7fXnOWMnc7btuLlfxmi1tNMhuTWdzOGin3pWsll1+bPhHNnqsENqVRyce2udT8Bi1BBHmaF38K9yGz3rH7HFQXd2xfJHpiou/N9UElWJQd2FdhdqNl5wSkbD6zd3+/bbn8HM6cxkXQiAw+S8nwCx/2uTiJVp64llKPZjvBq+eqYu2aqnxXl0MTfGavdTu3s/Rxq2kGl28ieYTXS5Skyu/BxQvj9c8RzXrsYvurvIi4n/e6iR47PTXosW763y5dDWV0TG+LkgsZXtCyhELLdLOHdw+6ELK7/nMz75Aqbj1c5wxa3FrnJ9oEZRW0bF+rMg6a0WgwrsjScQ101efGK16VSjI4mbwmxeu6V77S3czbvVjTqeahKmY0P0LTTa4hbl8/ldZOb6WfbZppSKfibgqkAsVtjsBrdCoWHClBgDTN1Wgs6qTaBcoIM+ZFVWNFYepRX5d9WXE0nyoE1g3CRRVTqMHfqeoxHw6yjpI3aIh2xOzsopqxa3ErdZWQkrcsraww94MVW7ZZ5GOHjoL3ujiGoqpIMCdrrRZHIJaWp/BMPHb3TETWkw72OYt8flYWpfo0ZPPlKVJSg5OJZRA9m8ltleKLBBgUt3atvA0bSoI0gu9Vj7J6MZdUkVNUJvuZtWoQHYkVPcPvrZ+m6A+OWUAy6ddMa6XjZ6Qu8sx5qvja9QuNjBYporqlkXFh7N5VgrwP4lGj6HfUjEoQuoQcTFKRpY6oSogWUeZvVSKwq/rLU0H1XeVpKn0D/wfzgnx8U4VlYDwzsn6cXciaA9faOeZp97l21MnnhE4ti1WuOv+Q0c7y1jS6aNkYzvfia9hHKKufVvdrx+JWhlfqnUsOHZvynVV1yYvw+7n4PRnHQZU5j+Lcl/jzZ6uT3prGj6Oh+g40zSijk6C5Tt5X/F65RWj2gkDKvJ2m01bA6ZHz+V11dN0x3UpKJKmBAPP5omVd9JUjxqd87/fjkLUJL09iaKS5cpUwtT25tmLX2mZLbnH5xj+i+RG67cSptH7oFK4T4n2vpV/rof9VnmfHkF5jVY8xDoDdV9HdUkE3HTclxa+uF29UOQ8bzcvstqi1upi2rZ6U4s4wjd1DVgHFbQ6jYolmPt7mtXHi/Vvm03+dOYuaFY6pEMn9vvLwumNwO1m002HLdv7YIqpLorRpfieNHVauXCb3O8VrZUh3dU2ZOQkc40QmqzzMA3BfRw39cesiuuO0Gc7zF3yf6l9S/ZnIMCjYBWncRonnYTWWqx3P4uWbzPndj/dZlitVXAt+unCp/WM6bh6hV4/f3y0NkyJWIUdRn5gvsZ6wyjUS0ZTqDvtMzVZAq3qaU9Kbs2QtbtdOV4+8roJVPxXRNMP4KjoFYN4rjWjuHGKY5ZL12befOJW+csQEGtPIH1tkRDTNlgKgiZkD9DMLPqvnqJP4HlQDnLB4GUhDdbGcx7qDELxdUU48ZUI757iiU9hnVl9WaPheJfhMnH6bEcZ/c85c5bSqfnGJxP0V+3V1ifpGBaswEiqwlPMS/2bpp9ZGabINDc9O5ig0Nk0jmtTCuJpg3qNlgCy2KMGvqlZxOjcPNVcgXMWt4huvLY2Zxkm+EleGm9fF65800mxZE2qa2U8z+5vK/EG5KF+wU7z8lGDyt6N7W7huOpQ2whXk+K7ExZQIO321Far2W6IyWX0ua3Er82stMl7wSiEdF1UlIKFZBhF3nTOH7jlvHjcYWhzRZh0bEJg0jVZOGkZtNc4Me2SkuqTgY6f2KO+hpBh02Cgkh4HiNkfg7UaqTC5SHMN73LI66kppSluVdcIh9issqgw7nGnqCOTHYawXZTxUJ/F/umwJbV0xhkY3lHHdHYgmZ6l5ystReff2LKycKbhlJcweyT8iLSub93yaKou4E3K3WB1TdqqSMVjJi9IE0NurBN7i1QN2YsdbwJk3NWSWSqJyi6N5wkATZuIbS3atUQ1yKPQD8W9l8x5Ru9EdyCSTwUl6o8Wt+FmpWfKqKCAYZa0pPc83sjlLdjPD62AJKq4SWCUhm96s9GazcmtxKwtGZ2bJuAY6YcZwR+WYrcms2LK0i1b1NNH3N04zHMFXsTYXFeOkPch83NpFdVHZ01JpmUZobcz06/F6c3TvYPBQ1cjXsv6TnTt+jwmcNqDryj5u26qLbfnDJRr098s7hh6HfR52fP25Va5K83aZiUy3YrkH4pHFrVfGGSp6osG+LVlgCaO4tXJLpDSG2Jjz8KqnlRWnRiIft2pl1pXFjH2E4aNaJm628XhyRjR7x+ojmkb7DvBdnaRj+eXU0jaBDSG5RgYcTwmy0zNeyNNQzp+ryC595d291hkromlq87MDgrF092cHEp/LC/nBydKxccESr0fWbX5oU0hBwOJoPnVZBJUUFRfluJVLkcWDe1d9zqruLO0APa0zoLjNYc5eNNIyTWr0dr+kUcOuNYxXwZ/iiJRfqjvldjpa2QBiGOCYAmd1ph6RVLe45Sl4+Z+FctlwlSBXzjpT6t56giAitwnffdwKFQxypYnTgVjlOq98MtlBxRKY9z3b72xbPbgoZ8U3K+Wc+uC0eiQdtSV0zqKR9NPTZwxdY7+cOJrdxuSsFMNfXztyoiCdhyWy75j5o4DpLFOCMyjURbvW2ua+uZGrtDJmyipI7Ww6qWB1ixoZLW5FSm/SzOOLOzlTrvepLkY0LcXKXyZ7RVEBffvYybSwq95gccsiGhdEfZu5vEKFICYqkbBVURlbvrmm2+CnWLjBpfCi4vWmu7WSHrtkMf3XmbPVBJW6Skh+jgcZiV+i2u9qGn8jJU77kCXRgi6jZZJXfv5V8MJySxy8Vi1vmQI9bT5ubeRw6aGpbiES8ihWDjY4UUmUVdwyMvGMDySK3fhPqnMejfjP3mq5oWl8i1sVNs3vpLyI8VSCYYqg+BrczUn4z9Wui5vhNSU0jnfiL41TTqdqJTv1XdaO//7Ox4nP4oBz9mSzi4pf6S+uTHVhYhfVUz8ii9tPGJ/m7LOSbfYbc5Jv6jghLqpZ5FQ3X4P/e2XpKzS00SjRpo6aknp6jMgb/UbKcxYIFP/+AoduhFTKBmpAcZsjmNvirquXOz7+GCQqCy8/JwviiXnys9H6UXfcOUmtL0QKZE5ZXItbRWWucedYLE9CLhtWtI6Dk0lecGksX8nthpMJsj0UFwweHRVh8xENvH5F42UxWzzbDTAVh70F3o61+Ral1umC71VkqyguoAuWdlFL1aBiQWAco4RK+kT+Du7HcP0Qq6c0c329ymVwfpNsctHiRRU1H7fi9MNrSug7x02mLcxEM8XillkoeN08rCbVmib2cZtnUnqbLW7d9Fkp7lp8GjA1SvWVWK9o1WzXx60wOI7p62ntVbR6cjNdtEzsJkVkJSRDNOao1Kll49WCiYnunX1U7PjbWFEoDb6nCqs8NY8zqsdvrdryj07uo3MWj6JvfL7H8L305IFSyZzrbNYhM/GgQ3byVpbVjasEXS3dYBpnv5k5cWa7WB6F6zVNo6uPmECTWiro28f2UBGjePLC17SdTXneHMLaykyjgvzUybiKznrrikGlt9A6U1F0L8eCeH521nkRbTDA2l1nz6Exprma3THcDU4NAv2Y/xt8lrNlKVyrNh6nprnu6ElUWWzt4uWUuR0K+VuUrqk9N9EmqNE1S/J7Y3tVWx96vYGnalnqRhdikFlQnEZEP9s0k3562gw6vm/40HferBeN5ahlEn9nh00aZp2nat8Fm1tHQHGbo8Ty85Qal7kP88M60Q7fWTuFRtSW0C3H9wrTGDoDrxfjChNzJ8FfeMh93AoWqty0auXxktkdGOzUD1lSuZsI9zJ4GeyHh0hG80LanMxxwBWXSnWvWD25xfC36BigMM0Q6/oGlY3T25PRSdl2ba4fclcJakodHmbFhFcRf928Cb8tONwsNFh5CgSWRFb0tFYSkX2lP68dHzapiWYxmwnmFLIAam5R6VbYhQ17vwWCgDVEHgQn8ziYpwie5daisfVK14oUgiJRxwzjH0fkWXp/Y00PbV4oPm1kxxfglKEAhyIrFFkdPnfxKLpw6WiuL0Q7sH1haqBW1UWZk9/UXSVoRHTB0tHUUB7jKs1bq4vpgkNGp/iWlVvcKhXNkcWddtVJsaqyyp6mVbOPPysn8vmh9OI1o1Tf9IPv/ldnzaFVPc1UXphPy8c30rzRdcqbPFy5hv53a2iiosThbY4csGG1L5oXKAcnczMn4dSWiKY2xly0rIvyIhpdtWowCBfPMMCJZNH8CJ0yZ4SDK4OBN/dkD5oYXo/ggZy5oNNWmbxXfszUVlt5WCHvi2Qh6ZKouB0SubtSV/55i+VWzZBgXrmek61dSmP51NdR46vRjfLYNCRmhynAmCyt3bKhyFXD3YwRZAyqDemus+cY/jZPXOzOEWpsBHlQYWJLBT1w4QLl9OnqBowWt4OTuQP9Ok1qqaTX3v+Em84K2fpRrIxK/b6Ic3yG20FyvjL6GbMWXhqYzXS9U4tbK9SCGvEnC2ZqS6P07sf7lX3nxhHlaN4RNz8DpwsNlevSseliVqAYJrAK1upxFnTV08MXLaRhlYo+Gp1aqFrUabP1nWEObvtxspNS0caLgrKSSXPN6on0hf98jivfYDn2JDRfE+VYE8nSGybhxpevzPfWD7o7UfNPqNKOxc9dNYox0aC/0Dc++kxFKHOx/J8148JGHJxMSxlf3PWP8s0jr9BMCoCe1kq6lBNpnsdRU1rohvv+TgvH1NPefcljlaJ2c8PayfQv9/6NDp3YSCdt/1Pieyddnh13TP9+ygx66Z2PaUJzOW2585mU32V97vkCZa9wc1jwPTtHMx/b9qLLF/WtFUUFUvcHBjSilqpieuySxaRpGl13zy5XZQ9m6Vhzy8Xps1KyLFW1apLcsLWrhKGyFIqSJbEzB5HdlxPfo5qm0S0niI0yzETzI7T/4ADNHVVL977wdsrvtixuOd9ZKW41jbh+mO30IaLn7efpxvhd8R+PmquEzQtH0qlzOwxzBCcnyMxpnr9qmSP3EzIFmLR8R1cl4SknjfMm6zUUGxjVbftNB5qiEMKTM8zFjRXJDZrPGF/J8nk789nlwxjTWEYvvrUn4abHMjjZ0P9+G8J4bUhw/5b5/HIUr/few23w9ThTgcVtDsPrFyY0Vxj+NltU2J1MHDKuwTqRx6TBsDAFo1N1jXZevpSevGwJ1ZbGTL645MJdsiLpM0zu41b9++ICteimKkd7rZAqbs27a07XXRbXqexOFjEuN2QD5O3rp9Ha6W303ePUFxPmPK89Khk4JSVatVfPRCGNHwsBcxUtyIvQ5CErNLdlttUUGyfwTFbmtjFmWBnVlsa4ftbcHAs1+9p0dzyK+ew4F2M+vcOrEp91XU9dODkoib0mpqK4ZT6zTc/ou09djprS2FBeCkps9pkqWFabuwZ2gWpV3oMXLbSUx1CuVX9KGu3ddzD5N1O+2YWDUSHurh2nuErgZCea5NsrRzP4OT5vyShl69Kqkij9+UuH0LePnWz4XnTnwyqK6Ppjumlya5UxvYNHZeeIdlE0jya2VBje3RE9yaP0zjZO7G3qsEH1vGj/Zsx97bfW9NClh46hkfVlytbJcSm8XIxqGlF54WB9msqczFC5jsfNx/eSpqX6BZ/Vqb5p6/b2pK4hLDKPvya347w94wKxxLWlChazNkVtKDdu5D500QL6znGT6biho8SJbONWcTbyn2Ra+xAZg6Ty0Ijv4/bAQfU+xOjL15i3Cm5eN9/HrbpbLauNXSf9j/l5ug4+ZoHbNts9dEKIJWo4yWOvLBVxNE0z1Jv5o+vEiR0iVZyaNpPdMLI+aeyx5zP+fIjIWA+Mv7kT5IcnTafLDh1L30y46REbawyWbf5gH/ZKO9W7h1lb2RVBZCmrPCb70AyD0NVkA7C4zWGUBtUUR93Gv39/8UKae+0DymX6OwQHXx7R4MK6JJZviJAbx6qjOn1+J2377YtEJO/Qxa4SUr+PFaROrnhX87K0uwjwylrDzXUqO6GsE3+ZIqSntTJxdNsObI6TWpMLgpkdxkWgVwNXUBa3ZisHcxEqPpK9WMzH8vPo0UsWUZ6mUcelvzHm72Ji12TyXWkU1b+2oW49YlbUmH7V3N1/NM+mT3Hmc4Ek0IQKSgsY5rOofhvFM6ZhF4kpl5v+juZHqLAgQp8dULOmsmpumkb0MaO4NV5rfHZG5bPaMUWhXCbBzPVyxYRGpeNwLEUFefTpgX6a3FZJT7/6IRENPj62LLtRieNuLCwXvky+eXnye5Oxekoz/defX1cK2irDbX8mulqU7ZKx7Oa4adGpaJohU46Y39sRk5OBUpRdJfiwQtOI6InLltDefQcTmz1uWNhVT3+7ekWK4shq3JT1L4nvVdfGDuZ8yd/VyrCCOzfkfDe+qVwac+Lw7ib686sf0PQR6kp1KxorCukHJ02nsiGF/bCKIjpskjimgZ16d8zUVtr6X8nTKw3lMVo2Qe5/WtO0FD/eRESt1dZxFuKI5kiqorsZC0RleGVNqKaotNiQsLje7RrP6fP7fyf30fY/vkLHTkt1USAKnCcqyclR+LyIRgND1r7bN06zfb0V8k0k74wPWPbuZxS3susV8lKlvryQTp2X9PtrtRcZZJyfcxaNotJYfmLMdzOuXry8i669exddc9REOuF7T1imtzN/S0fflctAcZvDqDSuFFcJpobWWl3sugweriKlMp+feOV95xlxEPVdqkEF7NyW3MetegE8qzm+xS3nO5sWAFL3B+a0JrFKCxW7IwtBVAZWdsHhhwcB43PT6InLFtMHew9Qe22JMZ3pOrvKDV55oilXOlwlaJomnFQJJ63Kg7wcp9Gdefzs9Jm0/Y+v0OWHjTd8bzdYH4vKZNPu0UIrK3ZHb5y5SMVVgvHS5MURweJFFVE7Nh4rTKbhLaDNacxZ5kksbt22FqtJtaaJFwlGFw6pwcncILrP+JHB1VNaUi+y4K5z5tCdf/pfOrq3mZZ84+HBckxVR8XfnRVWzzRF4WDjUV1/dDddcMjoRCBCp7AieGksJroVuXsi98juQdVVgi8jjzY4jisFrDXJUllcQB9+ciDlN94YYuf4t+g31X5UJ6Kpw6voT//zQcpvVnHm4nKqjSHGROxbVFVM3Grh0iAvotGXV00wlmOxnhDBiqRiXWi3vg2vKTa0o7mjamn7xulKfS17quDaoyfRjBE1SkGieBj9xdt/NnbhvWtd11M2wFQxX5VOtUy6g5PNGVVLc0bVKuRvXYBdRaRG8XenK5fhJRFN86XMT/YnXSWY5w/XH9NN625/nC5e1uXZ6TUeKu5R3GKYI4jScL4riuYZ/PO7EeXMBSPp5DkjKJZvHD9FRiMiOa87elLKd8ptMcgOI4OBq4QcxtwBscf045gtb9IVm8yziI1pgi1RpgCwI5tsTSTaoeVlb+6YU6WKX5v6nUpwKVXM2bN5//S0GYZFkzQoiUU57bXWC+9CxgrZD8fv5oBN9WWF1NWYGkDHXFdsxLQwlqdwC2lR3JJxgDcqGQV11kHFsjNHd9IdTB9RTd9d10uNFWo+du3KIVTcDv3v1LdjqiJXs698ZfJQiUovCk5m9tMq4t7z51nKwcIeXWaTiPzysX7TzIoZgzuHFAWNu/ZidXVE0xKW/2Y/ifkGS2DN02CK5ssntVQSEdEvNs+me86b58i9UWddKW1dMYaqGIWFuZ463ZSygs3V/GxsRUePaK6VtkTurUi8PJngxVxINg9RdnFrEoPnFzRdaJpG912g7grEqrkZxjtBGhWfoUSDSrPvb5xGy8antkGruqwl/ven/qlwzepBNxNWSl0vyvKC/zxjFh3R00RfPypV+aDSz2pknD9WF0eprcZeH+LmVEJcBqfwnv+ALre4PX5Gm/C3C5cN+u0+bii4rBcv2OqR1JTElNKJ8LsKqqz/bBsBaO7mASr9ryz3QcWx4+KFjG9Kujoz92OT26rouSuX0YbZI0xBZb2VQbkeeTSfceMKxO29x3UDPz1thmVanpwtVUWuguJBT+sMKG5zGLZj/Mbnu+n0+amRLReOqTdETLa/EHDWNIM8jiBDtBulahFl565kx6VVAxosG9/AVb7wLueJbbYctUJubWxeVCc/V5mjSUsUmFZ18OojJtLnupvoDslgxCqz/ahrqvpuWdF3bpqpXp7Cu/HbmT4Rb9PCXZ0xpvNDwW4zvYt9DIOC06PjjWwuvN5Co8GIxaPqBxVrdrEfnCyJ0X+s+PrRDakbGoPXJC8aVZ/cQDQqhIn7PQt7KqSh3HikOp8x6zBfzT+VYEMRyGTAC9KpEdG/n9JH00dU03+eMcvwmyG6skm2iMkC1y5xue7bMp9uXDuZFo+tJ6JB60Xe5pIdZG3URrweW7DridTNQfm15y8ZnNucu3iUZ/KwZToZW4TH7RWuNa+tVBfXUqtayY/KrhJM0vMCpvrBV4+cQBOay6mN6QM0IluuFeyMm6L6r3oapKggj8oKC2hBV33Kb1YbzPG65naY5N2Dqmrh2Olt9LerV9Cy8XIXA36jKm/v8Cr61rGTqb7c2Qat+VEddLDzXlzgbi5qdck313QLf+NVqYEBXbqGOUfSVy4a00BPf+kQ+uoRg5bWXszYROugm9dNoaXjGujcJd713X6gtmFvb26okeZq3fKHrQst08jakJW7pkVjBvuvqz43nvu7+crfXTCPtq2eSEexp3042cfrZUHE3vOyg1VAdi/WISoWt+nUavZ1WPtx9yU4WUj1PGEHitscxmhZJagKuk4nzkw6/k9XOzMfk7BDEH0BW2SxaVHiWB6pvzNrOdZOb6NbT5iqHAldVZnrlN2fGY8mivxAERkXhD85dUbCkoOX1kxdWYxuWDuZZkgGI1aZrWoN4xQ7ymx2kjqREyzDCfFAbAvHpC4GvSZFcctOUASLfCdP3841XvYHXgUnc4PIirm1qjilPmnaoJJixwXzaRNnY45HP3Ok3a61LkueQSlq/+bZZpknUAKz+eYLBo3myiK66+w59Pili1MmiuYgYCyuXxeTwQ1rJ6f+rA1akfzs9Jk0scXY1lkFs1lR65WrhM66Ujq8u8n25Fl2VFkT/qGu5LMLu9AyK9ms6t05i0fS7y9eSOd5uPhn+4iG8hgtH99Ih3c3Sa4worI5LL7WdI3Pqz/WVcJSiaW2Wfa4uxM2uKIfrOsbTnedPdcQwM0uqQHfjBiChJllNAAAR8dJREFUwwnyUO1HL1reJczHstkP/a561Nov7IwZqnKEdX1vbl/7HbiDqSqJ0iUrxtAXV441nARzKoOZxWNT22W8y+T1/f26XHFrNQeqKonactthhciqf8XEYXTbiVOpoqiAiDiBf1WRCOlkszsle4NSlk9xjA2WrJav3XnAjcwcpL6sUOk0lRBNLufG2e208/JDaP2sdqXsRtaX0drpbaaAtmJEm/eeYNGEw9QVpdNHLG/65nZKF6ZnmUlAcZvDmK14eOikNvAQCSyUTN+NVbTocaUgcXylNSo+bktNQclER4mtkLoLsHHk5swFgwqbo3uTu5m8q8sLC3g5SvMWp07l5f/ba/hb5i+UVfKNaSwzWsx48ILZR8vzAewtYoFT7zv52c7ETKZ8vvf8efTtY3volLkjlPNTxWrgZt+x0JeT6SGILETYVLZcJUifv73KJFKa2sXNcWhzf3zHaTPoyMnNdMXh4zzp/AqY9lAStfY7LaoDhgW8A7lUThWoKjQnNFekRCQnMvonNF/Pexdxa6OjFPzAWr/K1AQdQz6wWYu1wXySae1YAF60bFARNHtkchPL7T5VQ3kh3XL8FO5vMov0Og8CSJnLICI6wJjymuuMdYA4jVqriz21/DD3Ebec0GtYNFsh8gWsImOKD1FPFCcSi1tGq7KN2Vw1Y5b9gkNG07+eOJX+bYP3QXWssPtMrIxlywsL6N7z59EDFy4QWsWqbg7Xl4ktP60Uolrif/sv3c1xXXvlGP/2Uuki6pPSyUGHxwpOn99Jp8ztcKQIsXqG0jUb5zvdwlWCLQt0hbp45efGSX9XrZvfPrZHuhGkMq80s2l+Z8J61At4j+6m46YY1l4qT9eJqwSz2y9XAU4VLpX5eRaNZca5nbgQg6sEa1Fsoerj1pzqsEnD6Kbj1Pog9tm76Xr92NBK01BAROHdkAs7CE6Ww6gc4dAHNbdMOo2GmwKSxaMxxxWEPO46ew7d9eybdJZixOawukoQwYpbEhM3K6c+bqP5Edp/MDkpFA3aPKXGgq56euLSxVTLLJzNcly4dDSN4hxZdnM03EzUtMMr+8u8yx4xHI1xj9EPq/d1TaVt8X6TWY+J+P3FCw3PxzzwDqsopFU9zeQH5jG+X9cNGxfsHYgmROxtHt7dREdOth8cSYboMToJZpYui1uriL7s5xkdNQnrcnMRTup2aSyfbjpuCkU0eV+WlDUpLVseuyHi5LGJlOQixa0Ty3mZH15ebpvmd9DisfXUafL9zsPSJyXn51+eNZv2HRyg9/fuN6Rj09o5jbJ54Ug6preF/vrWHnrkpfeU5FJh+YRhdNsJvdRZL34O8ed5+4lT6W/v7KEZHd5El/+39dNo4/YnE3+z42KK4iyAeYTbIg+qOo7lkGJxqyiLrES5G4XkZzsuoqL5EUe+lI15qj/oDz5h2pPNGUReRKOrPjeervjV88I0IncvcQpcbA6fsaCT+gd0yyBs8XedYVNnz5CdsPKL+LMeUVtCr7y7l+aMtA5W5b0MVuNM6u/JupL624CuS91y2Bk/VJIunzCMthwymv5lx99o4+x2jjxqZXXUldJ/njGL2rf+N/f3JRzLYxUZK4t5Bi3qGPM3Fja5rZJWThpmT6Ah7I7jbobGzroSg+GNOWCqV+QprvMKJLEJ3GJV33ilRTSi7ygqbVVRc5mR2ZhfXabfT7qA4janYRfD/BQjaktSlHd9HTW0bfXEhHXQ14+aROtnttMEydHuCc0V0t9TJHPRgv2cuIoWMayVjIqVmt2yjpveRtv/+M/E33Z1FGYfXuzlh4xroLMW8Y+KsumUrAGlSkrjjzKL2/LC5DMsK8z3XJHv966iSNGUkk6isFa95dZqeTCMdPoR6h8YoK8dOZHO+Pen6NS5HcZ7EFmrM59llml2b+P0eR0p+bM0VhTanihogs8qqFoT2JPHpGz0KN+UxYQDDIpbB9eL7kWkbHXiQqAgT9xO+QtejaukOXRiIz3z2kf0xZVjk2nZ6zhl874rKyygMiKD4nbQn1wSu/dZX15IL7y5O5mfR65hlnL8WPIWG0vGNdASl0o6FrP8ByTHk9MVTNWIu0IPeOgMWFVJ6dTHLfubrF75MQTZyfMfBqWD3XI0WtfXJlXcWmE3GBvbxr+wfPC49jd3/E16TcLHrUoBHrwPT3w9Kgqi6vczjpWVpszIxAn3nj+PPtnXTxUulXxOpqVWT4bXLBOuEjjp+y00V3Y2DlXn2WcvHkVHTmmm5soiTh7eTNZF46Zl3bJZ/BjJqVJzk+EZZ6iMWYMWt/bkSjGVsdF8eSdZ+EGvnUjCl0m2bhK5xfICWWwZovSupywJkShOSKerh2wCrhJyGNlO4H+dOYu+duREmjuqlutSYe30toRD64K8CHW3VnoatT6sFrcisfYxVj+FUWOzsnsrY4cNRtZc1ZP0i2e2JhMGMFEsyzhAytLZE17WEe83LUhl1rwRTaO/XLWM/nLVMsrPixj9WnpQN6wGZ7eoKvhkFrfeKfcsfvewqfUPDCqS7zp7Lq3qaTbcg6qrBBVU5vLv7Nkn/G3E0KaTXfxwj8BDtliR1if1InwnarC49U4yUb+R78Bnmyw6sR2Rp7RV0SNbF9GKiUmFN3s9N3CcdEPHKId5I8junabt9JukT/cK82LXPK6wBDGPcDsNMh9ptYPj4GSSGiLT47BKHvZZ/+uJUw3KsZBO55TI0zRD+3PSl9k9DXB4dxONbyqnk+eMYMqVXxP/2cmzdjoehgrF+3780sUJFzKuixwqsyAv4lppS+TMoMC6XtirEHbcX1nBBmv76pETpGlbqvgua7wau0RyW92O1dF5M00m5bN0ncPpF0Tva1ZnjSGN3WDDqdaN8uuntFVaXnvrCb3ca53q2lXvyeAL1+OxxUp2XnF2b1dF5kweM1WNA8z3mEYvDRkNFLc5jFEha/xtSlsVHdfXNnQkwn4nuXry4NFsduJph9bq1J1Xdfzr8UTKaWmAFJvi/Oqs2fT4pYsTClwi9SOQyv6IDdbWigoESX4qsEdaiUzuD0wyDAwduY8fu5cFMnPCsdMGg6OwkyEvMUzWZIpx09/p8jVnLNO7vMzWGuy9iybAXlvFzR01eFzxiKE+iGs56TBv1ffKvVaxbfopQzphLTLcisleLwpM4WTjkFWoeB2czGphpLqh49bilojSNiNOR900G9vILFSDaB5ulcXlhQX04IULPJHFmw0TNYtbdt7TXlNMFy9PBvapLHIYOCgE5EXsb5SMbhh0IVI1pMyTupHg/FRYkEf/fc5c+tJhcv+fLMl6Z/+dVxZH6fcXL6QnL1ti+1o3BDF+NZQXWrYL3lQlfmS+u7XSB6mc4/XGvJWi0k7/xp6GKHRooTngwnUMi9jiVo7d0lPnEeJ1jh3lq1l+uydnZIGDeXQw7qBE1y7jnLpRQlA2e4+yzcR8wRzQCywVt5zyAli2EZE/Fqte3MqVh4+j+rKYrfELqJMRitt//vOfdPLJJ9OIESOoqKiIOjs76YorrqD9+/dbXwyEqFoROOka/uXz3fTiV5Yr+QJkuXPTTFo8pl7ZyTcPPyeDKpMW8wA7trGcprdXKx8/LsiLDE0uxWnEzt2ViqAyxhWB7KipsUy1vEWkKG4lO9FmkdjJpMySUpWuxjL60xeX0A9Pmu46Lx5GJZ1s0Wb8bXiNe8sXlQAgN6/zJ5CH2XKHPS5fLHAhMmdULXXWldDKie6P5xMNWnv97oJ5NH90HRF5q7wxBFuzOcNRUWrFv79cOuGxpwTwHcFz8Cvon+gdODk+ly9xleAWmaWNdXlGJb9BQS1w1xA2/DoGZ17sHjgoVty++v4nvsggw4tq1O7QAjIlOJl7UWhA4rnhS4eNo9JYPl24dLRBoR5/Bjevm0I9rZXSwGUyzlGMiWAH+64S7F/zvfXTaO30Vrpz06yhPMQZqPY7735sMe8ZykbJmotTM1qri6muzJsAgiLMyhgnJ8TcpHHDLzfPpnMWjaTrj56ULNPjPs7JSTBrH7f2frPSk9oZZvuZzsOpQsgrpZhdC9U4dvXGMgVp/OMXV46lquIC+vKq8cr5mjesv7mmh6J5kcGgtAqY794r44E4VsET1fJVm18XGIKTpbcNelGeSg4htsmwpKOulB6/dLGl4Z5KXAmQSkb4uH3xxRdpYGCAbr31Vho5ciT95S9/oVNPPZX27t1L119/fdDiZSwyxZkI9YmWZhlMgce09mqatsGbICZ+ILp/dlc4xZdrRKOfbZppmfelh44x/C171Kzi1Sif2gtiHe6/t1e8IPByMmy2jDLuRBvTmhegrCXnZwf6PZGn1qMo5zxULc/Mivba0hjde/48Ko469x+VKkuqACs8UpKyjB1WTkUmuWP5efT9DdPoQP8AVRTxjxLG8vPodxfMt16AMJ9lk6vCgjwaWZ9UbHGzdWicZJTB+bXiNIOpNsweQVf++gV+GkndCtpnFFu6IVKyS7HMFqhx2H7BkauEiNidg5cy2/3d+I41wz1HIhp9ceU4Korm0eopaoH8/HYNEycdtc+Oj9v7X3zH07JrSqL03t79Bh/sZrzaALAKiMXDcXAyhz5uRzeU0TNXLKW8iEYHDeP7YMErJg5zNdZcsLSL1s9qp5U3/IHe2v2Z4TenT9luH1lYkCccm0TPt7W6mLatnmT4rqWqiP73g09T0uZpGvUrtM+X39kr/T2bF712FR1+9HbDa0rogqVd9B6jQE+3tR+PpeMbpP2E3fpuFUTSqcWt09Nkdl0ViBBZqFrdjl25pYrboc+nzO2gk+eM4J8GE8jDKp41bXCt/MKXlxncPdmTy/j3M1csFV4ri09y+4lT6YpfPU/fOraHjrnlUSVZRLDKadl7N264uyoyBUtF/VB5/sdJ8Td/L5C6dFO4gQy4xVCSEYrb5cuX0/LlyxN/d3R00K5du+jmm2+G4tYFhuPykr6fbZqhcswtwE8JRbu2XvThZYVGxZbsWR/R00y/e+Ftmmk66s9eoWqx+9GnB8TpFC1HuQKYkFvcGi80H7mf3p6cTHo1kfMT9Y2Q1JQq1nTH9bXRjx9/lVZMcHhUySuYd1Ea4yubF46pt8zGz37Fy9MERmtPuya37EfrkpePb6S7n39Llo3nykYvqSguoK8eOYE00oTW1qoYFbfJz2xfYNePpPmaVGtF9fz47jicvwxZP56naVRRXEBfXiX3GciSri7TiVslu5gXoObNIpYpw6s8LfvHp86gb+zYRecfMtrTfHmsn9VOBwd0+spd/A0cFbzxBy8nvthmF928IENOqfF4g9XuIyk2GSA4faIPXLiALv/l8/STJ141fB+JEJHCXrRVdHs7R6e9aJuyzQt1vOsk0rU2UbUKdIKT7IZVyNuaNIaF6fnfdfaclHWIGTuWq+w83rHFrcPrVLF0m2EzP/NpCdEaym59NbiWG8pHVWk7WJ7x71mdNXTvC28n/hYZVhDJ3Ug5CT4qunO2HFnbYsca3maYG8zry1TjCA/QNKotjdK7H++ncYxLRLv4tSFfVphPez476EveLGFar2QSGeEqgcdHH31E1dXyncF9+/bR7t27Df9AEuMRDnELYhe0ud7ORLvNXigTrZ7tYUOuFk6YMZyi+RG67cSptHH2CGMeHr8gQ37u9LZ06rwOU97iRb75ebKTFquot2HDj8HpisPH0faN0+gbn+/xPnMbsG/C70BAXi7M4rJOHzE4hhSoWmuyE0ubZcoszHnfX//5bkEadgIvFC8UrOsbTsf1tVmmG9+kPnllrS0OMn2BIx+3TF5WE3a7WImjurEW0TRD2v9xcPw/iL0ur+qiOR/2PZfG8mn7xmnCa+0cRVWhq7GMbj1hKo1pFNfXIBYjRUPKxe6WSs/zVp3baJpGz1y+lJ764hKpMt0JvAWql2Us7KoT/iYrx86YV5AX4Z6kmTkU5Le2VO4H2EpJo5n+94ufnjaDfnxKn6WCj4fTfsiN9da0dm83b9w83+6WCiIiWizYzPYjxgE/4Be/HJU2Zad/Y8dnpzqmoO00VN/Jj0/to+NntNE5i43uXVRP3yXSCL636+rBamPlWsblh925iqjfO6KnicY0ltGMDmexQwyGEVIft8m+8KDH68GuIcMZ0ZrAq/H9zk2z6MSZw+lf10/llxPQbF7XyRC88WtHDro5+taantS0LssK+oRgppIRFrdmXnrpJbrxxhstrW23bdtGV111VZqkymxknRHru6bUk112f/Fz511k1eDF5EK2s6cR0fXHdNOx09oSyiZ+HjYtZImUe1+nj3V0QyndcdpMqi4xLkxkkwXZWOz1QO0LBgtB7+tjLD+PFnRZW7J6xS83z6ZVNz3C/e2Kw8fRTQ+8bBk12Evctrf4G7ls5ThqqSqmQxWP87Kv0q4MdvWK8cB8KTII5En5MU2w/sbyHLgrICJaOq6Rnn9DbWM1j5m0sy5qHPm4ZfMyvU+37dba96Ba/hHNmPavb9rfgPYi4rkKmvAP72AXsPeePy8linecDbPaLa3R/MDL/l41p1+fPYd+8sSrdPr8DuvEdrHRz6Wrnv3o5OmOrfh5z/SrR4p98MoVt45EMPAvn++h7Y+8Qkf1yt2eWCmQ/N44jdPnUClDpOZ/P+y4kfl7G6bRfz/7Jh3R08z9vceHwGcycZ1YE9pZX7HuU5xaB/p9ws7aVYJaPrM6a2lWZ21q/g5k4iEKyirix6fOoMNu/EPib3P/UFkcFf5mxryWFCX/1rGTSdd1x3MfQ3AyyXOXWQe75V9PnErf3PE3Ok0wlsaflRtrV40G44HYOTXlBrt9Fpv8uL42Wj2l2ZHrS8tyTHJlmlFWUARqcbt161bSNE3678UXXzRc8/rrr9Py5cvpmGOOoVNPPVWa/yWXXEIfffRR4t9rr73m5+1kDPEdJbMfPRGx/Dz6wUnT6d82TDX4LQwrfs4FRRN1L7obq8GxsCCP5oyq9cQJvLJMdjt85oJbjp9CXQ1l9J3jpqQobYnkkwVZJNlM6NxVrCv9wu6EQkU+USTl7pZK2jh7BD152WKDX1k/8PIxxuteaSyfNi8cmRJUzeo6J3jl8ylsi92qkihtXthJZy8a6Xh86GmrlP7OtidWcddSVZz47ESJwlrcuulXeEVbiSNdUBs+u7dLmDq8ik6dO4KucRgkSpV01E1eEKygZOHhtc89FUbWl9KXDhtH9WWFwjRO5Qqba6K26mKaO0psIWtFvB/eNL8z8V2JYJOMKNVVgsHljc1KxktdXRKlC5Z2WQYmtXS9aEOUsAwhXsrhZlPVjGwO5aY3ri2N0fpZ7cINjuE1JXTPefPoicsWO8p/3ug62rrCFCvDTr0QJD68u8mRPAZXCaZHqnpE3Hdfohbv07WRgE2LWxFGVwnWTGiuMJxGcTNWprhKkLkfc3GTqsF/nZyuUqW1upi+saZHeKombPNvFQocGDWwiJS2XhnQxNknCTQLkgRqPrllyxbasGGDNE1HR3LX44033qCFCxfSrFmz6LbbbrPMPxaLUSzmb5TUTOSO02YQkfk4pvyaeIT2TKOzzll0ZhFCxY0nJremPw3HRoLH7ni1fMIwWj5BbMkoGwBli8VMsLhVdUOS6SweO2j1mwm+r1mcimu8zKaC3FmRnHzEVvVB1bWLlo2xTLPlkNH0Lzv+xv1t3qhaunndFBrdaK38ZyftRdE82nn5IZSfF3FUB/NNx+5Z3FZpq+tVF1Ka5oUsGl22Ui36tKty7PpEd0C6LAudEta+8JqjJlkn4hC24dbtmj1++ZpprXTLQy8L8zxx5nB6+G//R0dPbRXm5TRSvSMs3oMT1wWZgtKGZrrGPlZB7MPMvEthDBQRzdNo0/xOuua3SYMnO/2RqG1NaCqnXz/zhm15xg4rJ3r6dSIy9iNfWD6GjprCtzo24+XG0ReWj6Gv3/0ibV7YSTc9MNj2LS1uPXzHbupovk2LWyLjWCkbNy3rSJr6OVH8giDxo19RcpnhYbE1Fm54nPKpy0Dh5nv0KvB4thOo4rauro7q6tQUgq+//jotXLiQent76fvf/z5FXO4g5Cr1ZTGqGrJ+lAWHymTYzuDsRaM8zVs0sfFicZPWRYAiRj+03sony0/2PGXWuGHBYDEXvtfqGWlVUhgWTC6zcii3qkUAv0zv06QcdQxxXZMF19E0TTn6fL7JHQN75M8umqbRjWsn08f7DlJDeaHpNzv58POWXiMZc80W+5k4PvtVFw1HRiXPJSgFb1t1Mff7W0/opdN/9FSapUkiexoydwCqpxHShVfvlXU9wMvzy6smcI/9GoL62hRlflcd3f6HVxwFUhQpkP71xKn0L/fuom9yfBCK8NNizQ5eNlFRXgu66unJf35gLy9Z3xyOR+cLovt2Ot+KB1icN7qWdr72YeL7MxZ0ii/yqGweZyzopDXTWql/QE8obi3Ldy2APYWrKI2xj1KrhKrWvpY+bpVKcw/b11ot8/IiWlpOX04c8ksdJ+EqwUXRbgKSGVCQYUJzOV17FD9eBj9L9RuTBTZXw1izYHGrRvgdltKg0nbBggU0fPhwuv766+n//u//Er81NgYcVT2DYf37ZetkxOv7Ei3G3ezKHj+jjR7/x/vKfja9Ria53cdnJ70sgmhJTLyQDMtOrIywWl3xcPo4i3zweZQunL4dw3FM22U6V/qK85T/nS2wz91rpUP8GOijL79nLNPLp8lV7EqSM7+Zg5OFGeNJA28wNxV2ASt9hh6Vr8qPT+mjR15+l46dxrfQXDa+kdqqi+lVB8HlvEDW5Wya10lPvPI+HdGTeiR60/xO2rvvIC0dH9xc29BfemQJrxJY02oct6tEnjuqju7cNNORMlw0ZhwyroEOEUR1LxPEpDh2ehvd8eRr1Du8yrYcbjDfQjo2pE6b10HX3bPLs/zcbN6GHa8PFEbzIwkl7dOvfugoD68DtlWXROndj/cl/raqgW51g165SrCITcjFMFYqpuPh+TpaKZX8wedpGvWn4SxqZ10p/eqs2fS57/BjfNjhv8+ZQ79+5k3avNB648KrZ37X2XO9ycgHYHHrjIxQ3O7YsYNeeukleumll6ilxejA348onLkC6ys1E/yGqmK0iPB2xOkTBAZz8/iuPsIfv4NeHPEx+g2zzs/O4+ZFEL1x7WS69eGXE5EseaTTx69TMkTP4pgZHdV02aH+H71m8XKR5/TAhis/en5UihSL22yvef6dTHBjvWyZlFNX7Bx3zP63qk6eoq+/dDeFWSNradbI1OA0LH4crfaCiuIC+s8zZnF/K4rm0RcPS29fb8bLp8brI51a1zupY9PaxcFlZThZ6vzgpOnc73taK+mBCxdQpY9BfjzFRVsuyItQd0sFPfO/HylfI/dxm/nE65Jq/fWi36rhxLlQwY+lqb0Tce4EMNrJWj9wUTu3G5zMnE42N7QOTpZEFhzbS6zeeyRCRGnS801qqUx8djPHHt9UQeObKqwThpwb1k6mc+94mr5l45QHD/OThMWtGhmhuN2wYYOlL1xgnyizhXegP3sajFc7nCz3bZlPv3vhbTpxZjv39zDuH3gtk9e3yLNcOLy7yTIQQkYobgOc3bPv/YrDrRfcTmS947SZ9i/yEtdO8Z29IKPVrD0h2Im3yGpcKYCZwapRE/4WOjwSLl3HfL0upTiaR5/sT640VI/japoPwviE6kLRVp6mvyOa5EdDuvA9tCDnCeF7Gs7wzJKbeRdOq0okjS4HnCjP4oGIeQThAqOpwuiOxsu+3PgOjc/KS+VfCLuVBLbdN5lak5/1edn4Rlo/czhNbkuvlTcPO2OTe4tb+wpXHqrWs8JrXJxOYe9hRpoUt1Z1efDEcPr1FiFu/rR6cjNNba+mP778Lt317JuO88mzsGz5XHcTLRvfQLF8d6cuze1QFAQbGAm/BgT4BqsAyybFLYtXi7fOulI6fX6n0BdcGC2/vZisyo53x4/KN1cWOcvb4bHzAidnhgIkyIF+4+wRAZbuLenwh2dFxGGdJTIGlxAqbhXyyQWrWjPsHZt93PpWpo3nbB3cg+jRrYvpskPHMteo5m0cx8zKj7DiVTVdM+R6oHvI15xxARsiXwkKBDlNCN8MxRl+9H9O54npjEvgpO6EbaiY2VlDU9oqE397OqZLGryX7rXCfP7Bte9/Ub4ePL5IRKOrVk2gIyarBSXzEztv0O3aTnGfMVme4Hujxa3aHaiWrTB98RQV8a3abFB+uhOudnwfUBXuz5SkuaqIjutrc6dQ1YlW9TRRZ10JbZjVLkzmVmlLZBR/eE0xXX+MswCquUZmaUCAp7Ad34H+bJnWG0lX3x7Gp+eFMtkwwJqy+/nmWXTYpGG0feM0fno7edsgmmGK2xDP83MWp4t/9jq7zYvtbw+66G9lx/zYP2tLY47L8IMlY+uJiGhUfamrfNJmcetxMRXFBTRmWNICTr6QMion2bRflbiRCRpDUDWP8lw8toF+d8F8+tmmQSt/1fcfZgWLKmFTvIUB75p/sg+2kyWbNr0Wt/bxqg30eGQJpWkanT4/6d/RSvE9Z8j1yIkzhivkLf7NSyVLNrfJbL43Fjsur9wHwuV/touTzSW2f5Jdb9WPFcfSfzjb6rk7CfDoBWFqInWlMZo3us7zfEti+XTflgV05efGe543C1slL1kxhurLMsMoIWgyTAMC/CJbLW7T1c36bXHrJHsvRCplBuxYgbG7GNNYTt85bgp11DlTxBhdJagLOyxDLM5USZfPqEzHuIfgrnI7nfMZLW7tycBONN34FJcFgGJ/+9HJfP+GQTGsooieuXwp/eZc+8ES2KeV79RBsQUpz9LOtQ7qk2zzwKAc0oxpw+wqxq+F/8j60oSFh5Wvv7gvRVHApiAJ48mcTMDg1sCjOV1lcdLnplOL23TqDoK0uB1ZX0q/PmsOPXbJYtd5scpaq02Y29dPpV+dNZvWSyy/VMiEgLbpZFZnDff7bNjsUsHOfR42adB1W1t1sQdlWZcrqqrsyUZ1VwlMyZKLRP3f9cd00+iGUrp61QTFEtVQ8/Urb7Pp3DQzlDv0rPze5FDJX9M0+qHAj3kmYLzH3Oh7vCAjfNwC/3FjARY2jBG501NmGOeFXkxWS2L59KOTp1NE06iwgH80wjgtsXG8mPmsIuktx/fSj594lS5bGWyglGyhJJpHe/f3+7JjG3acdgsGZZtdf3LMtf2mtjl3VC39/u/v0ucFEemV5Bn8JvEpFkIFX0Wxs2A4bF+WzuPJfiK7C1nE+0y5e79ek2zjgojogYsW0JsffkZdjWL/nkERaAzYEM5R1PFe+NrSGH1v/VQqLMhzrARIrx/lYF/gxBZvgurYOfJdWJBnCAwkwzCfND0qu1Nh2eagqwClAbN8fCP1Dq+itX1tRMQ5sSN4HVm34WSj2a6e3EytVUU0Zli5s6I8srhlfVKru1mSW9zmRTTqH9BpQjO/bR/d20JH97Zwf/Mbax+32e4qwT7xJ5IpU2Sv/D/nGlDcAiIi2p9FFres8jBdE+tAF2QCvJJp7ii5Ys/pxISdwDeWW1vRLp/QSMsnNKoXkKOovvb7tiygx/7xHq2cNMxXecKIF34S3TSvg6bG+YON02nPvoNUYTPKt8ziNpt84bLDU14YfdwKvo/mR2j/wQEaPyx1YeQkMrS0sBCQDhWz1ZheXlhA5Y3ONgj8xovo7LmOl93a4rHurLLTqbjNBh+3REZLOS+9Xsn6azenY1LKCXMHbEFLVRGdOq8j8Xd1SdTwexjrS9BEIhr1dfAtlO3i5vGyvv1V66BV//Sbc+bST554lTYvHOlCMvuo1DOrNhuUj1tzm8k20jlDCUr5nulAcZtjiBqliuIsE/HpVG0KYVyQpWuX3I2/0McvXUwH+geoJAAfSmEhqKGrsaLQUaAIp0fGwoQX8wU3zavftFEWiWi2lbZEch+32TQl6h9IPq90TfbslCKy2Nt5+SG078AA19JYtvhi+25N0wwDd5gVB+mwoGAXo2HcMJURRiudTCBMz81woiuNhxpC9Ahcka/od9MushNcdvsJWQDMMCs37c75G8oLacnYBvrdX98mIvHYEqb25wXpfId2N9NFa0nWClx501cgR5yuxjLf/Zjapaggjz490E/TR8iV5elW+t28bgrd8eRr9IXlY9JSnpu7C3EXZYANNJ4pMoeB8J2lBGll+8ZptOWQ0bR4KHBMNmA8Spme7iCMExtVVwlBHoNqKC+klqrMVwTmElUOj7u7xdMI1AGvvrzyTCPr38K8wLQL6xPYL0uLmMkVjMrzO3nOCBpVX0pHCjZAiqP5VMVYaBi6Wkn+Bp+emjFtmN9rOjYODH6mwzjwSsgsacODzHVIkKTX4lat9gQ9tlnBPjNPFbeSrK4aUk6dvUjNsjBfYgpsiM2QYS2aJ+3h3ckTV0JXCf6Io8TG2e1ERHSMh0f209lCjIFGrRE1c9lmggg/2prfdeFPX1xCf9y6yODTl0e6fdyumDiMfnDSdKoZCvobypafJv+7XmFQ3GaK0CEgd83cABERLeiqpwVd2aO0JfLOp5AdwriADJ9EuYOd6uB1HT1x5nD6j6f+lxZ0+eS7NgsGWC/uwM2ijbUg9RLjIiHz31Mcg+LWp/rX3VJBh3c30a+feYOI1J7flw6z52/bqIBSuyaiaTTAXJkpb9WviTibLyxucwOjBXqAgphIq+JWMV1BmlzJOCXP4CohPbLOHllLf/3yciqK8uM0mCmQukpIkg3tOaKgWAzyPi87dCytnDhM2dexCkEpidwU68TCNIi1sFtKYvlKJzCz/Zh9prwvN0S99JWTQ0BxC7KabPFx6+Q2gljUYtdsELbepTuY0qSWSvrzlw6hSgdH71UI6g2zijS3CwkvXokbGcw+bh0jc5WQRU2xo66UiqP5VFlc4JulhaZpdOPayUnFrc/PT7WvNBnchrqPtQoc5gUGi9uM254MTt7Me1bhhB2H0tkUVceblqpiOq6vjUqieRTLV1NUphN2re5lV27VL6oqbYmI8hSDk4WNmZ3y4+U8RbkxmLPAVUKAfUd+XoSmtld7mmdaLW4Nn52XbAzqp3ZNJEs38onkbRQ4J51GaAX59qzRwSBQ3IKsI4iJtd8TGyd9qbKrBPtZAwsqigvo81NbaECnxNGadOKnA/0wL1xU8WJDx0276ffIV4JqVOhMJ6IR3XX2nDT7pvO3MFnubNdtrqthfsfpUCqzC9hMs3i7+fheOmn7k8qW2iF+1YERpvqfzk1ZO1X9a0dO9E0OtxiOb/u0Cee2X5BZLYdx4+z3Fy+kx/7xnjBmwbmLR9HPn36dTmcCk/EQ3drwmuxyZxacj1vr9KKqa/Rxq3YDEZ82SdziRRsK2uI2jKdstcT/IXrZEqJ59v02AyhuQZaTLovbEPbh0MgGzLVHdwctQlbR5uHiwRPFrYtG3+9ThxGUNZjf6Hr6fJrNG11HD//t/2jDrOG+liN7P+xGoKZlZtA5v+pfcTSfjpzcTJ8d6KdhFZkVVHVaezU9c/nStPvnIwqnwkmVsLqACaOP27CT51NwMi9x4k80SFqri6lVEjT2/ENG0/mHjOb+ZpgzCNrWqu5mevW9T2lae5U7QUNCOvsQr8pyUicNZWdWlbYkiDE0nYRpnPOLArhKcAQUtyDrCMKvj4pPnnSjanHrJdk/1HhPpg3QQUl78pwRdN09u4jI/Z6EJ64SXFw74JGrBPNt2I1gDFK5/cSp9I93P6auhjLP8zb46lRsSZpGpOmZp5D3s1/75poe3/L2m3QvONfPHE6P/uM9OnxSU1rL9RL2iYVpvd7dWhFY2UvG1tPS8Y2Ble+UIN1IqZKveAw77Kr08kLrdYnhFQheRySi0blLRnkjVAgIs8WtyAqItTBVFZ/tK8O0SeKFJBm2t5JWQvSqpUTzYXHrhPBpmwBwiVc+hexw5oJOevrVD+jIyd5FPmVxooQNQnEL7JNpA1ZQCsHCgpD56wuBj1tZLhlWraSksyeL5kdoTGO57+VILW5NN2xMmxlvNtP6tWzlqlUTghbBWwKuWJpGdM958+hXz7xOp8/vTFu5bJ9QUxKl29dPS1vZXuLEV2e6CfoYtldsWz3JMk1YN0XShd9zC8N61EWFd9Ju0uFzPihUN1cyFSdVJaz9qQjW4hbqCnWguAVZTbomIpXFUbpz0yzf8t/fbz8KfRAdYaYNHMA+2fCKg7I+KI3l08f7DtL80XW+l5VNbTFbjgmrwt6tRlqK64RMIFPkBMAuXY1ldFHjmLSWyfYBh3dnrvU0q4DiBcvyArcxJ9prSzySJBi+smo8PfU/H9DyCfYssnPllE5aFZoelcUqudQNklhlb3jerRei+NV3ZDLxaXKIXrUU1uL2gAMdR64CxS3IOgxRUrOkc993wH6n5lXgejtk2rF/YJ8wTArcKvLc3MORk5vpr2/uptkja21f+4cvLKTX3v+UJrY4P2Ira2PGBUkIXhQQIquDrVVF1FpdRCXRfCrI02h/P+tiIdwcObmZ3t79GY1Ng9UyyD3CXv/9gh3ytq5Ir9LYSwyuEkI2P//RydPpDy+9S8dOaw1aFFecMLOdTpjZrpTWSokZzTA/lDevm0Jn/PufldP7PZ+1G3dAGJwsz14+ZkLW1FwTtr7Da4K6u3TaSBQzpyj/b8++9BWc4UBxmyPUlETpvb37aVZnTdCipJVs6dv3Hey3fU1FUYEPkoBcJxsUgm4sbr+5pod0XXdkwVBZHKXK4qjjsq3I2uBkQQvgA7J2lJ8XoQcvXEgaDVrKaCG1nOGRyf5nw0Y21nsnBBG3IGywC+rQuQ2ygcFXZ8he5txRdTR3lPVpmEMnNtLrH3xKE5uD83HsHfw5w7fW9NDlv/wL3XJCbwAyOWfFxGH06CWL6MW39tDND75MT7zyfkoalYBsXmF3M12kOHOiqAzrRn42WNz6reB00jd68Vxry2LuM1EkEuKxIMxAcZsj/GLzbLrr2Tdp3Yy2oEVJAwre9jOMfQfVLW5vXDuZfvLEqxltlQFCTBY0Kbe3ENZJRjb7NMsG2Lm+1bpD5NMO7zV3wLtOJeggO0EV7/b4f1gwuEoI6ThqxXfX9TrevA0bIuXeEZObaVVPU0be47CKIhpWUURt1cV06g//RJsXjDT8ns6NIKOPW+f5sP2ek2y0zDKctiRb/FD7g/1nc9NxU+h3f32bNsxq914chXKPmuJPfKBsBIrbHKG1upjOWJC+QApBwg6OQe/KeYUdxe3h3U0Z7QMt18i0eXEYxHW7hM3ExUicAubInFmJoRIhGgQIU3Ht1EFjABm82FzhqN4W+tffv0ILuvz3iZ0p5GrtzxY336yVlV/T83Q8q0yeQ7DIFIuZfo+ddaV0/5YFKd+n8668eoaa8A8H17tgQkiszCe1VNJ9L74TWPlhbBrxjRcnsq2cNIxWThrmsUThLTeTgeIWZDWZuqNvZt8B+64SgiBLHndaCdMRJhWaKouCFsE1NSX+uSvwm5rSGJ0+v4PyIxqVxsRDeKbVKxnZorRgsfN22MUf+tjcoaywgP7whYUZr0AB7smWLpCdk2dLDIpMJhfHFuM9p++mVUoSWdYb5FTsDIxKeXf3ueP8efT8G7tp6bgGV/kQeTM33bSgg/LztMA2NbNxTgoyAyhuQdZhsE7K8OMhmjY4QExtr/KtDC8HoByZ9+UkPzp5Ot3xxGv0xZVjgxbFMUvG1tO+gwN08fKuoEVxxSUr+O8gW33cZiN23g/0G7kLlLZGgn8cgflKyArYOblfhhVZ8qjSgvGQTuCNKy0YT7CkrywVROsxR+4R2E0Sl/c5qqGMRjWUucvEQ2L5ebR54UjrhDlIbrTi3AWKW5DVZPqx0ge2LKAHdr1Da6d775u4rDCf9nx2MOcC1gFnqAbuSAdONxsOnTiMVmexL6Vs9YWajQtxW64SMnwcA8Ad6QsmFFayxsdtDlp4hplcDPyXznmSV8/UbT5h6jdzpZ65wckzwnPNDaC4BVkHu8jNdB+37bUltLF2hC95/+acufTbv7xJx/UN9yxPDBwgzETzM9wE3wbZpOzTcS4tQVE0cyPKA+AEr5RLmdwlZksXmOlz8myDbROZbuiiSjpdJXilMHWbT1he7dYVY+g3z70ZtBgAZCy5s4oFOUMmBHI5cyhQ3OnzOgKTobW6mE6b1yn1kwn8J6RVNJSsntxMRGQ70OJ5S0bR3FG1tGx8ox9ihZJsqFYzOwZPA5www7vNpSBxYzV34dLRdNLsEdRZV+qhRABkFrk6XmaJ3hZ+bUNMLr6ZsPUn5nb+x62L6Nkrl7rONwz32Tu8ijbN78yKeub3CQg3ivowvGvgH9DYgKwmrLv7Fy3rotVTmrEIB8AGXz96Ep0wczhNaqm0dd15S0b7I1DIYK2ysmHy9sOTp9PrH3xK7bUlQYsSOGctGhW0CABkNF50iUH1q9ly6oB1leDXCZhseVbpAH7xw008GPBHnxxIfKdau8P2OsMmT7ahJf7Hk85moLgFWQc7+fAr+IFbNE2jkfXhcfTuHeF83iA7KMiL0OQ2/wL1ZRPZMHkryItAaWuTkA55AHiCO0ukzG0c2aKKZI0ponk49Bk4Bjckmds+nJIxd+xAUPbEKfYyAMgOoLgFWU0E88K0koPzPgDCCdpi6MDiCQD7GNxf5eicLlv6DlZxW5BDPufDSs5PE0K2aPGynbdWF9HskTVUHM2nwoIQ+cYP2TN3gt/9ca76cgfWQHELsg7WIiOsrhIAAMBPMHkDAGQbrixuPSk/GDrqSmjnax8GVLp3sKfgYrC4BQGTzdMkTdPo30+ZEbQYCTAn9Rc839wAiluQdeRilNSwgKNvAIQD9HzhIx1Wc3jvIJvJVUukyw8bR7H8PDq6tyVoUVzBBifzy8ctUCcX3SOwpPP2VYZ/laBXmWp9P7G5koiyY45SUxqlv7/jX/5unhH0HtkNRk2Q1aADSw+b5nfS3FG1NHdUbdCiZBy5PnEG/oB6lZvgvYNspttmYMpsobI4SttWT6Te4dnj472hvDBoEXKeXB8tMiUWQCYP6/ecN4/OWzKKLlyWPUGCrzu6O2gRhJy5oJPqy2K0eWFn0KIAH4DFLchq4CohPWxdMSZoETIW1FDgFay1BupVboL3DrKZsxaNdHxtpihpsp3bTuiljz49QK3VxUGLkvPkunFLjt9+WuhqLKOuxmQw7mx45mHsu+Kb9vXlhfT4pYuxiZ+lQHELso7+gaTyIg8dFwAgB0HXBwDIBti+zFWQHQ/6RPSr7lk6vjFoEcAQuV6f/bbtKSvMp866Euof0KmuNGZ9gcANQgETlTEGFyNZj9t2CaVt9gLFLcg6BhgHQLkagRhkDp/sPxi0CCALgXVZbnHRsi667p5d9PWjJgUtCgChpLywIGgRQBrIVB+gIP34PU+KRDS69/z5ic9WiKpuUTSPrj5iAvUP6FRVEvVQwvSDmSkAzoHiFmQdrOIWrhJA2Dm6t4We/OcHNKmlImhRQBaBDffw4ac+YfPCkXT8jOFUUQTlFMgu3CpXfnDSdNr2m7/S9ceE1y8hAEGQ89OENDwAr9ahx88Y7kk+ILzUl8XonT37aBlOJQABUNyCrIPxlJDz/ptA+DlycgvVlxXSzM6aoEUBAGQwUNoCkMr80XU0f3SdJ3nhJAPIJkbWlwYtQqCErTWfPGcE3fbwP4IWAwTE/RcuoDc+/JRGN5RZJwY5CRS3IOswuEqA4haEnGh+hBaOqQ9aDJBloOsLHzrO8AIAAAgJ9eWFdPd5c6k0lpvqgLD5Am0oL6TPdTfRr555I2hRfCNszzxMlMbyHStt8VhzA3gABVnHwEDyM1wlAAByBVYvCMswAEA2gAUpsIPuq1Oa7GNMYzm1VBUHLUYghLFryc/ydevFy7qIiGjDrPZgBckyYBeQG+TmFhvIaowWtwEKAgAAAQFlR/goLcSUCwC7tFYV05sffRa0GACALAPzpPTT11FDz1+1jEpy1MobADeg1YCsg1Xc4kgGACAXQc8XPmZ21NBxfW00Osf9CgJgh2+s6aYv//oFOmVuR9CiQNGTAcDyDIBwA6Wt92Bsyg3QckDW0VGHRTEAILfBplX40DSNvnbkxKDFACCjaKkqpttOnBq0GACALAPTJABAJgHFLcg6SmP59OcvHULRfLhwBgDkJliPAAAAAADwCWUsgBCKBAAIB9BsgaykuiSas1FSAQAAliQAAOAt6FbDj9Oo7CD3wDwJZDpt1YOBBZeOawxYEpAOoNkCAAAAsgDWtx9cJQAAAMgV7jlvHv3vB5/QhOaKoEUBGQLmSSDT2XHBPPrwkwPUUF4YtCggDUBxCwAAAAAAAAAcYvkR2ndwgOZ31QUtChDQ1VhGXY2wtgXqQG0LnKJp4QiEGMvPo4byvKDFAGkCilsAAAAgC2iuKgpaBAAAyDoe2bqIXn7nY5o+ojpoUQAAHhFGg9tQ+t0FKWhEFAK9LcgxoLgFAAAAsoCKogJ64MIFFENgRgAA8Iza0hjVlsaCFgMA4CHdLZVBiwAAAMpAcQsAAABkCSNqS4IWAQAAAAAglDz1xSX0wScHqHUosBMAdtHC4isB5BQwywEAAABCSFVxARERjYHfPgAAAAAA19SUxmhkfWnQYoAMBg4tQBDA4hYAAAAIIf9xxiy6/fev0OaFnUGLAgAAAAAAfCSMfndBKnhPIAiguAUAAABCSGddKW1bPTFoMQAAAAAAAAAUDyIHVwkgvcBVAgAAAAAAAAAAAAAAMmBxCwIAilsAAAAAAAAAAACAgCjIg0YwE8BbAkEAVwkAAAAAAAAAAAAAAXHektH06Mvv0drpbUGLAiTAxy0IAihuAQAAAAAAAAAAAAKiobyQHrxoYdBiAABCCFwlAAAAAAAAAAAAAAAgQYOzBBAAGae43bdvH/X09JCmabRz586gxQEAAAAAAAAAAAAAWQ5cJYAgyDjF7cUXX0xNTU1BiwEAAAAAAAAAAAAAcgTobUEQZJTi9re//S3de++9dP311wctCgAAAAAAAAAAAADIETSY3IIAyJjgZG+//Tadeuqp9Itf/IKKi4uVrtm3bx/t27cv8ffu3bv9Eg8AAAAAAAAAAAAAZClQ24IgyAiLW13XacOGDbRp0yaaOnWq8nXbtm2jioqKxL/W1lYfpQQAAAAAAAAAAAAAWQk0tyAAAlXcbt26lTRNk/578cUX6cYbb6Q9e/bQJZdcYiv/Sy65hD766KPEv9dee82nOwEAAAAAAAAAAAAA2Qr0tiAIAnWVsGXLFtqwYYM0TUdHB91///306KOPUiwWM/w2depUWrduHf3gBz/gXhuLxVKuAQAAAAAAAAAAAAAAgLATqOK2rq6O6urqLNPdcMMNdPXVVyf+fuONN2jZsmX005/+lPr6+vwUEQAAAAAAAAAAAADkOAhOBoIgI4KTtbW1Gf4uLS0lIqLOzk5qaWkJQiQAAAAAAAAAAAAAkCNAbwuCICOCkwEAAAAAAAAAAAAAEBTQ24IgyAiLWzPt7e2k63rQYgAAAAAAAAAAAACAHACuEkAQwOIWAAAAAAAAAAAAAAAJUNuCIIDiFgAAAAAAAAAAAAAACWWFGXloHWQ4UNwCAAAAAAAAAAAAACDh5uN7qauhjG47oTdoUUAOge0CAAAAAAAAAAAAAAAkjB1WTvecPy9oMUCOAYtbAAAAAAAAAAAAAAAACBlQ3AIAAAAAAAAAAAAAAEDIgOIWAAAAAAAAAAAAAAAAQgYUtwAAAAAAAAAAAAAAABAyoLgFAAAAAAAAAAAAAACAkAHFLQAAAAAAAAAAAAAAAIQMKG4BAAAAAAAAAAAAAAAgZEBxCwAAAAAAAAAAAAAAACEDilsAAAAAAAAAAAAAAAAIGVDcAgAAAAAAAAAAAAAAQMiA4hYAAAAAAAAAAAAAAABCRn7QAqQTXdeJiGj37t0BSwIAAAAAAAAAAAAAAMg14nrJuJ5SRk4pbvfs2UNERK2trQFLAgAAAAAAAAAAAAAAyFX27NlDFRUV0jSarqLezRIGBgbojTfeoLKyMtI0LWhxfGf37t3U2tpKr732GpWXlwctDgDABmi/AGQuaL8AZC5ovwBkLmi/AGQuudZ+dV2nPXv2UFNTE0Uici+2OWVxG4lEqKWlJWgx0k55eXlOVHwAshG0XwAyF7RfADIXtF8AMhe0XwAyl1xqv1aWtnEQnAwAAAAAAAAAAAAAAABCBhS3AAAAAAAAAAAAAAAAEDKguM1iYrEYXXHFFRSLxYIWBQBgE7RfADIXtF8AMhe0XwAyF7RfADIXtF8xORWcDAAAAAAAAAAAAAAAADIBWNwCAAAAAAAAAAAAAABAyIDiFgAAAAAAAAAAAAAAAEIGFLcAAAAAAAAAAAAAAAAQMqC4zWJuuukmam9vp8LCQurr66MnnngiaJEAyCkefvhhOvzww6mpqYk0TaNf/OIXht91XafLL7+chg0bRkVFRbRkyRL6+9//bkjz/vvv07p166i8vJwqKyvp5JNPpo8//tiQ5tlnn6W5c+dSYWEhtba20rXXXuv3rQGQ9Wzbto2mTZtGZWVlVF9fT0cccQTt2rXLkOazzz6jzZs3U01NDZWWltJRRx1Fb7/9tiHNq6++SitXrqTi4mKqr6+niy66iA4ePGhI8+CDD9KUKVMoFovRyJEjafv27X7fHgBZzc0330yTJk2i8vJyKi8vp5kzZ9Jvf/vbxO9ouwBkBtdccw1pmkbnnXde4ju0XwDCy5VXXkmaphn+jRkzJvE72q8zoLjNUn7605/SBRdcQFdccQX9+c9/pu7ublq2bBm98847QYsGQM6wd+9e6u7upptuuon7+7XXXks33HAD3XLLLfT4449TSUkJLVu2jD777LNEmnXr1tHzzz9PO3bsoLvuuosefvhhOu200xK/7969m5YuXUrDhw+np556iq677jq68sor6bbbbvP9/gDIZh566CHavHkzPfbYY7Rjxw46cOAALV26lPbu3ZtIc/7559Ovf/1ruvPOO+mhhx6iN954g1avXp34vb+/n1auXEn79++nP/7xj/SDH/yAtm/fTpdffnkizSuvvEIrV66khQsX0s6dO+m8886jU045he6555603i8A2URLSwtdc8019NRTT9Gf/vQnWrRoEa1atYqef/55IkLbBSATePLJJ+nWW2+lSZMmGb5H+wUg3IwfP57efPPNxL8//OEPid/Qfh2ig6xk+vTp+ubNmxN/9/f3601NTfq2bdsClAqA3IWI9J///OeJvwcGBvTGxkb9uuuuS3z34Ycf6rFYTP/JT36i67quv/DCCzoR6U8++WQizW9/+1td0zT99ddf13Vd17/73e/qVVVV+r59+xJpvvCFL+hdXV0+3xEAucU777yjE5H+0EMP6bo+2F4LCgr0O++8M5Hmr3/9q05E+qOPPqrruq7/5je/0SORiP7WW28l0tx88816eXl5os1efPHF+vjx4w1lrVmzRl+2bJnftwRATlFVVaXffvvtaLsAZAB79uzRR40ape/YsUOfP3++fu655+q6jrEXgLBzxRVX6N3d3dzf0H6dA4vbLGT//v301FNP0ZIlSxLfRSIRWrJkCT366KMBSgYAiPPKK6/QW2+9ZWinFRUV1NfXl2injz76KFVWVtLUqVMTaZYsWUKRSIQef/zxRJp58+ZRNBpNpFm2bBnt2rWLPvjggzTdDQDZz0cffURERNXV1URE9NRTT9GBAwcMbXjMmDHU1tZmaMMTJ06khoaGRJply5bR7t27E5Z/jz76qCGPeBqM1wB4Q39/P91xxx20d+9emjlzJtouABnA5s2baeXKlSltDO0XgPDz97//nZqamqijo4PWrVtHr776KhGh/boBitss5N1336X+/n5DZSciamhooLfeeisgqQAALPG2KGunb731FtXX1xt+z8/Pp+rqakMaXh5sGQAAdwwMDNB5551Hs2fPpgkTJhDRYPuKRqNUWVlpSGtuw1btU5Rm9+7d9Omnn/pxOwDkBM899xyVlpZSLBajTZs20c9//nMaN24c2i4AIeeOO+6gP//5z7Rt27aU39B+AQg3fX19tH37drr77rvp5ptvpldeeYXmzp1Le/bsQft1QX7QAgAAAAAAhJnNmzfTX/7yF4OPLgBAuOnq6qKdO3fSRx99RP/xH/9B69evp4ceeihosQAAEl577TU699xzaceOHVRYWBi0OAAAm6xYsSLxedKkSdTX10fDhw+nn/3sZ1RUVBSgZJkNLG6zkNraWsrLy0uJzvf2229TY2NjQFIBAFjibVHWThsbG1MCCh48eJDef/99QxpeHmwZAADnnHXWWXTXXXfRAw88QC0tLYnvGxsbaf/+/fThhx8a0pvbsFX7FKUpLy/HBBcAF0SjURo5ciT19vbStm3bqLu7m7797W+j7QIQYp566il65513aMqUKZSfn0/5+fn00EMP0Q033ED5+fnU0NCA9gtABlFZWUmjR4+ml156CeOvC6C4zUKi0Sj19vbSfffdl/huYGCA7rvvPpo5c2aAkgEA4owYMYIaGxsN7XT37t30+OOPJ9rpzJkz6cMPP6Snnnoqkeb++++ngYEB6uvrS6R5+OGH6cCBA4k0O3bsoK6uLqqqqkrT3QCQfei6TmeddRb9/Oc/p/vvv59GjBhh+L23t5cKCgoMbXjXrl306quvGtrwc889Z9iA2bFjB5WXl9O4ceMSadg84mkwXgPgLQMDA7Rv3z60XQBCzOLFi+m5556jnTt3Jv5NnTqV1q1bl/iM9gtA5vDxxx/Tyy+/TMOGDcP464ago6MBf7jjjjv0WCymb9++XX/hhRf00047Ta+srDRE5wMA+MuePXv0p59+Wn/66ad1ItK/8Y1v6E8//bT+P//zP7qu6/o111yjV1ZW6r/85S/1Z599Vl+1apU+YsQI/dNPP03ksXz5cn3y5Mn6448/rv/hD3/QR40apa9duzbx+4cffqg3NDToJ5xwgv6Xv/xFv+OOO/Ti4mL91ltvTfv9ApBNnHHGGXpFRYX+4IMP6m+++Wbi3yeffJJIs2nTJr2trU2///779T/96U/6zJkz9ZkzZyZ+P3jwoD5hwgR96dKl+s6dO/W7775br6ur0y+55JJEmn/84x96cXGxftFFF+l//etf9ZtuuknPy8vT77777rTeLwDZxNatW/WHHnpIf+WVV/Rnn31W37p1q65pmn7vvffquo62C0AmMX/+fP3cc89N/I32C0B42bJli/7ggw/qr7zyiv7II4/oS5Ys0Wtra/V33nlH13W0X6dAcZvF3HjjjXpbW5sejUb16dOn64899ljQIgGQUzzwwAM6EaX8W79+va7ruj4wMKB/6Utf0hsaGvRYLKYvXrxY37VrlyGP9957T1+7dq1eWlqql5eX6xs3btT37NljSPPMM8/oc+bM0WOxmN7c3Kxfc8016bpFALIWXtslIv373/9+Is2nn36qn3nmmXpVVZVeXFysH3nkkfqbb75pyOef//ynvmLFCr2oqEivra3Vt2zZoh84cMCQ5oEHHtB7enr0aDSqd3R0GMoAANjnpJNO0ocPH65Ho1G9rq5OX7x4cUJpq+touwBkEmbFLdovAOFlzZo1+rBhw/RoNKo3Nzfra9as0V966aXE72i/ztB0XdeDsfUFAAAAAAAAAAAAAAAAwAM+bgEAAAAAAAAAAAAAACBkQHELAAAAAAAAAAAAAAAAIQOKWwAAAAAAAAAAAAAAAAgZUNwCAAAAAAAAAAAAAABAyIDiFgAAAAAAAAAAAAAAAEIGFLcAAAAAAAAAAAAAAAAQMqC4BQAAAAAAAAAAAAAAgJABxS0AAAAAAAAAAAAAAACEDChuAQAAAAAAAAAAAAAAIGRAcQsAAAAAAIAi559/Pq1evTpoMQAAAAAAQA4AxS0AAAAAAACKPPHEEzR16tSgxQAAAAAAADmApuu6HrQQAAAAAAAAhJn9+/dTSUkJHTx4MPFdX18fPfbYYwFKBQAAAAAAspn8oAUAAAAAAAAg7OTn59MjjzxCfX19tHPnTmpoaKDCwsKgxQIAAAAAAFkMFLcAAAAAAABYEIlE6I033qCamhrq7u4OWhwAAAAAAJADwMctAAAAAAAACjz99NNQ2gIAAAAAgLQBxS0AAAAAAAAK7Ny5E4pbAAAAAACQNqC4BQAAAAAAQIHnnnuOenp6ghYDAAAAAADkCFDcAgAAAAAAoMDAwADt2rWL3njjDfroo4+CFgcAAAAAAGQ5UNwCAAAAAACgwNVXX03bt2+n5uZmuvrqq4MWBwAAAAAAZDmarut60EIAAAAAAAAAAAAAAAAASAKLWwAAAAAAAAAAAAAAAAgZUNwCAAAAAAAAAAAAAABAyIDiFgAAAAAAAAAAAAAAAEIGFLcAAAAAAAAAAAAAAAAQMqC4BQAAAAAAAAAAAAAAgJABxS0AAAAAAAAAAAAAAACEDChuAQAAAAAAAAAAAAAAIGRAcQsAAAAAAAAAAAAAAAAhA4pbAAAAAAAAAAAAAAAACBlQ3AIAAAAAAAAAAAAAAEDIgOIWAAAAAAAAAAAAAAAAQgYUtwAAAAAAAAAAAAAAABAy/j/WtRT09feo0AAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "np.random.seed(42) # we set a seed to reproduce results later\n", + "mu, sigma = 0, 1 # mean and standard deviation\n", + "N = 5000\n", + "xi = np.random.normal(mu, sigma, N) # gaussian noise time series\n", + "a = 0.5\n", + "w_t = [0]\n", + "t = np.arange(0, N, 1) # construct time array\n", + "for i in t[1:]:\n", + " w_t.append(a*w_t[i-1]+xi[i])\n", + "w_t = np.asarray(w_t)\n", + " \n", + "# plot the timeseries\n", + "fig = plt.figure(figsize=(14, 4))\n", + "ax = plt.plot(t, w_t)\n", + "ax = plt.xlabel(\"$t$\")\n", + "ax = plt.ylabel(\"$w_t$\")\n", + "ax = plt.title(\"Examplary AR(1) Time Series\")\n", + "fig.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "b0970273", + "metadata": {}, + "source": [ + "Now we construct an object of class VisibilityGraph. Note the keyword `horizontal`, that can be set to be `False` or `True`, and is `False` by default. We denote the object with \"1\" to distinguish it from the second timeseries that will be analysed later on." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "d481e772", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Calculating visibility relations...\n", + "VisibilityGraph: time series shape (5000,).\n", + "InteractingNetworks:\n", + "Network: undirected, 5000 nodes, 16703 links, link density 0.001.\n" + ] + } + ], + "source": [ + "VG1 = VisibilityGraph(w_t, horizontal = False) # creating object\n", + "print(VG1)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "367aaa50", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Calculating horizontal visibility relations...\n", + "VisibilityGraph: time series shape (5000,).\n", + "InteractingNetworks:\n", + "Network: undirected, 5000 nodes, 9986 links, link density 0.001.\n" + ] + } + ], + "source": [ + "HVG1 = VisibilityGraph(w_t, horizontal = True)\n", + "print(HVG1)" + ] + }, + { + "cell_type": "markdown", + "id": "0a3d1527", + "metadata": {}, + "source": [ + "It can be illustrative to plot the visibility relations for the VG for better understanding of the concept. They can be obtained with the method `VisibilityGraph.visibility_relations()`. Note that we zoom in a bit here, by only plotting the first 200 data points." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "8d8b5cdb", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Calculating visibility relations...\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# obtain the visibilty relations as an narray with boolean values\n", + "# i.e. Trure: two data points are \"visible\" to each other\n", + "visibility_relations = VG1.visibility_relations()\n", + "cutoff = int(N/10)\n", + "fig = plt.figure(figsize=(14, 4))\n", + "ax = plt.plot(t[:cutoff], w_t[:cutoff]) # zooming in a bit\n", + "ax = plt.xlabel(\"$t$\")\n", + "ax = plt.ylabel(\"$w_t$\")\n", + "ax = plt.title(\"TS with visibility relations\")\n", + "fig.tight_layout()\n", + "# plotting the visibilty relations as grey arrows\n", + "for i in range(cutoff):\n", + " for k in range(cutoff):\n", + " if visibility_relations[i][k]:\n", + " ax = plt.arrow(i, w_t[i], (k-i), (w_t[k]-w_t[i]), color='grey')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "e24eb9d5", + "metadata": {}, + "source": [ + "Of course, we can also plot the visibility relations for the HVG after obtaining them with `VisibilityGraph.visibility_relations_horizontal()`. In this case only the relations for one specific node are plotted as an example, so that one can easily convince themselves that there is only a link between data points for which a horizontal line could be drawn. (Note though that the visibility lines are not plotted in a horizontal manner here). " + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "3c3f7f27", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Calculating horizontal visibility relations...\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAABW0AAAGGCAYAAAAAW6PhAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOydeZwcRf3+n557780mu7nvcAdC5AhyBQRBRDABBBU5PDk9OH4iigoKgvoVUFRE0RAF5JIEEOQMEAiQBEICSch9H3vfx9z9+6O6qqt7emZ6Znp2Zmc/79drXrs7O9PTM9NdXfXUU89HUVVVBUEQBEEQBEEQBEEQBEEQBFEUuAq9AwRBEARBEARBEARBEARBEIQOibYEQRAEQRAEQRAEQRAEQRBFBIm2BEEQBEEQBEEQBEEQBEEQRQSJtgRBEARBEARBEARBEARBEEUEibYEQRAEQRAEQRAEQRAEQRBFBIm2BEEQBEEQBEEQBEEQBEEQRQSJtgRBEARBEARBEARBEARBEEUEibYEQRAEQRAEQRAEQRAEQRBFBIm2BEEQBEEQBEEQBEEQBEEQRQSJtgRBEARBDDlOOeUUnHLKKbYfO3PmzKxfS1EUXHvttVk/PxMeeughKIqCHTt2DMrr5ZNMviM7KIqCW2+9NaPnXH755ZgyZYr4e8eOHVAUBf/3f/+X9rm33norFEUx3DdlyhRcfvnl4u833ngDiqLgjTfeyGi/CkG+9jWb72Uw+e1vf4tp06bB7XbjyCOPLPTuOAI/jh966KFC7wpBEARBEHmERFuCIAiCIAwoimLrxsWflpYWfP/738fBBx+MsrIyNDQ04Nhjj8VNN92E3t7eQdnnffv24dZbb8Xq1asH5fVKnXfeeQe33norOjs7C70rQ45HH30U9957b6F3w1FeeOGFohZmk/Hyyy/jhz/8IU444QQsWLAAv/rVrwq9S0XLlClTLNv5K6+80vA4PrFkdWtsbCzQ3hMEQRBEaeIp9A4QBEEQBFFc/Otf/zL8/c9//hOvvPJKwv2HHHII2tvbcfTRR6O7uxvf+MY3cPDBB6OtrQ0fffQR7r//flx11VWorKx0fB9ffvllw9/79u3DbbfdhilTpgxpN90ll1yCL3/5y/D7/QXdj3feeQe33XYbLr/8ctTW1hZ0XzgDAwPweDLruv7tb39DPB7P6vVuueUW/OhHP0r5mJNPPhkDAwPw+XzivkcffRRr167FD37wg6xetxh54YUX8Kc//clSuM3mexkslixZApfLhb///e+G74iw5sgjj8QNN9xguO/AAw+0fOwvfvELTJ061XBfsbQVBEEQBFEqFGcPiyAIgiCIgvG1r33N8Pd7772HV155JeF+gC093rVrF5YtW4bjjz/e8L/u7u68CSWlJsD09fWhoqICbrcbbre70LtTlAQCgYyf4/V6s349j8eTVox0uVxZ7ZcTRKNRxOPxgp8LhXr/dmhubkZZWZljn5GqqggGgygrK3Nke8XG+PHjLdt5K8466ywcffTRed4jgiAIghjeUDwCQRAEQRBZs3XrVrjdbhx33HEJ/6uurk4p6Hz00UdQFAXPPvusuO+DDz6Aoij41Kc+ZXjsWWedhTlz5oi/5bzUN954A8cccwwA4Otf/7pYqmvOe1y/fj1OPfVUlJeXY/z48fjNb36T0XtdvHgxZs6cCb/fj8MOOwwvvvhiwmM+/PBDnHXWWaiurkZlZSVOO+00vPfee4bH8OXFb775Jq6++mo0NDRgwoQJhv/xTFueq2p1k7NV+/r6cMMNN2DixInw+/046KCD8H//939QVdXw2jyfN9V7ufXWW/H//t//AwBMnTpVvB7fpwULFuAzn/kMGhoa4Pf7ceihh+L+++/P6LPkzJw5E6eeemrC/fF4HOPHj8cFF1xg2HfZ6dnT04Mf/OAHmDJlCvx+PxoaGvDZz34Wq1atEo8xZ9rK3HPPPZg8eTLKysowd+5crF271vB/q0xbM+ac2FNOOQXPP/88du7cKT63KVOmoLe3FxUVFfj+97+fsI09e/bA7XbjzjvvTPo6chbvvffei+nTp8Pv92P9+vUAgA0bNuCCCy5AXV0dAoEAjj76aMN5lYy33noLX/rSlzBp0iT4/X5MnDgR1113HQYGBsRjLr/8cvzpT38CYIxO4Vhl2mZyHixbtgzXX3896uvrUVFRgfnz56OlpcXw2Pfffx9nnnkmRo0ahbKyMkydOhXf+MY3Ur43RVGwYMEC9PX1JbQJ0WgUv/zlL8XnOGXKFPz4xz9GKBQybGPKlCn4whe+gJdeeglHH300ysrK8MADDyR9TZ6fbaetaW5uxje/+U2MHj0agUAAs2bNwsKFCxMe19nZicsvvxw1NTWora3FZZddljS2JNvjQCYcDqOvr8/WY3t6ehCLxTLaPkEQBEEQ9iGnLUEQBEEQWTN58mTEYjH861//wmWXXZbRc2fOnIna2losXboU5557LgAmIrlcLqxZswbd3d2orq5GPB7HO++8g+985zuW2znkkEPwi1/8Aj/72c/wne98ByeddBIAGJy/HR0d+NznPofzzjsPF154IZ566incdNNNOPzww3HWWWel3de3334bTz/9NK6++mpUVVXhD3/4A84//3zs2rULI0eOBACsW7cOJ510Eqqrq/HDH/4QXq8XDzzwAE455RS8+eabBtEZAK6++mrU19fjZz/7WVKR5LzzzsOMGTMM933wwQe499570dDQAIC5/84991y8/vrr+OY3v4kjjzwSL730Ev7f//t/2Lt3L+65556M3st5552HTZs24d///jfuuecejBo1CgBQX18PALj//vtx2GGH4dxzz4XH48Fzzz2Hq6++GvF4HNdcc03az1Lmoosuwq233orGxkaMGTPGsI/79u3Dl7/85aTPvfLKK/HUU0/h2muvxaGHHoq2tja8/fbb+OSTTxJEfzP//Oc/0dPTg2uuuQbBYBC///3v8ZnPfAYff/wxRo8endF7kPnJT36Crq4u7NmzR3zulZWVqKysxPz58/H444/j7rvvNrip//3vf0NVVVx88cVpt79gwQIEg0F85zvfgd/vR11dHdatW4cTTjgB48ePx49+9CNUVFTgiSeewLx58/Cf//wH8+fPT7q9J598Ev39/bjqqqswcuRIrFixAvfddx/27NmDJ598EgBwxRVXYN++fZYRKVZkeh5897vfxYgRI/Dzn/8cO3bswL333otrr70Wjz/+OAAmbp5xxhmor6/Hj370I9TW1mLHjh14+umnU+7Hv/71L/z1r3/FihUr8OCDDwLQ24RvfetbWLhwIS644ALccMMNWL58Oe6880588sknWLRokWE7GzduxFe+8hVcccUV+Pa3v42DDjoo5evaaWsGBgZwyimnYMuWLbj22msxdepUPPnkk7j88svR2dkpxH1VVfHFL34Rb7/9Nq688koccsghWLRokWVbm8txwFmyZAnKy8sRi8UwefJkXHfddZYTDQBw6qmnore3Fz6fD2eeeSZ+97vf4YADDkj7GgRBEARBZIBKEARBEASRgmuuuUZN1mVobGxU6+vrVQDqwQcfrF555ZXqo48+qnZ2dtra9tlnn60ee+yx4u/zzjtPPe+881S3263+73//U1VVVVetWqUCUJ955hnxuLlz56pz584Vf69cuVIFoC5YsCDhNebOnasCUP/5z3+K+0KhkDpmzBj1/PPPT7uPAFSfz6du2bJF3LdmzRoVgHrfffeJ++bNm6f6fD5169at4r59+/apVVVV6sknnyzuW7BggQpAPfHEE9VoNGp4Lf6/7du3W+5LS0uLOmnSJPXwww9Xe3t7VVVV1cWLF6sA1Ntvv93w2AsuuEBVFMWw33bfy29/+9uk+9Hf359w35lnnqlOmzbNcJ/5O7Ji48aNCa+tqqp69dVXq5WVlYbXAqD+/Oc/F3/X1NSo11xzTcrtX3bZZerkyZPF39u3b1cBqGVlZeqePXvE/cuXL1cBqNddd5247+c//3nCcT958mT1sssuE3+//vrrKgD19ddfF/edffbZhtfkvPTSSyoAcVxzjjjiiLSfE9/v6upqtbm52fC/0047TT388MPVYDAo7ovH4+rxxx+vHnDAASn31eq7vPPOO1VFUdSdO3eK+1K1AebvJdPz4PTTT1fj8bi4/7rrrlPdbrdoQxYtWqQCUFeuXJns40nKZZddplZUVBjuW716tQpA/da3vmW4/8Ybb1QBqEuWLBH3TZ48WQWgvvjii7Zez25bc++996oA1IcffljcFw6H1U9/+tNqZWWl2t3draqqfm7/5je/EY+LRqPqSSedlNDe2T0OknHOOeeov/71r9XFixerf//738Vr/PCHPzQ87vHHH1cvv/xydeHCheqiRYvUW265RS0vL1dHjRql7tq1y9bnRBAEQRCEPSgegSAIgiCIrBk9ejTWrFmDK6+8Eh0dHfjLX/6Cr371q2hoaMAvf/nLhOX5Zk466SSsWrVKOE3ffvttfP7zn8eRRx6Jt956CwBz3yqKghNPPDHr/aysrDRkNfp8Phx77LHYtm2breeffvrpmD59uvj7iCOOQHV1tXh+LBbDyy+/jHnz5mHatGnicWPHjsVXv/pVvP322+ju7jZs89vf/nZG+bWxWAxf+cpX0NPTg0WLFqGiogIAKxLldrvxve99z/D4G264Aaqq4n//+19G7yUdcp5nV1cXWltbMXfuXGzbtg1dXV223w/AihwdeeSRwlXJ3+dTTz2Fc845J2V2aG1tLZYvX459+/Zl9JoAMG/ePIwfP178feyxx2LOnDl44YUXMt6WXU4//XSMGzcOjzzyiLhv7dq1+Oijj2zniJ5//vnC8QwA7e3tWLJkCS688EL09PSgtbUVra2taGtrw5lnnonNmzdj7969Sbcnf759fX1obW3F8ccfD1VV8eGHH2b8HrM5D77zne8Y4hZOOukkxGIx7Ny5E4Be3Oq///0vIpFIxvtkhn/H119/veF+XoDr+eefN9w/depUnHnmmba3b6eteeGFFzBmzBh85StfEfd5vV5873vfQ29vL958803xOI/Hg6uuuko8zu1247vf/a7hNXM9DgDg2WefxQ9/+EN88YtfxDe+8Q28+eabOPPMM3H33Xdjz5494nEXXnghFixYgEsvvRTz5s3DL3/5S7z00ktoa2vDHXfcYftzIgiCIAgiPSTaEgRBEASRE2PHjsX999+P/fv3Y+PGjfjDH/4glv3//e9/T/nck046CdFoFO+++y42btyI5uZmnHTSSTj55JMNou2hhx6Kurq6rPdxwoQJCfmkI0aMQEdHh63nT5o0KeE++fktLS3o7++3XDp9yCGHIB6PY/fu3Yb7zZXX03HLLbdgyZIlePTRRw2i686dOzFu3DhUVVUlvC7/fybvJR3Lli3D6aefjoqKCtTW1qK+vh4//vGPASBj0RZgEQnLli0TotIbb7yB5uZmXHTRRSmf95vf/AZr167FxIkTceyxx+LWW2+1LTxbLeM+8MADRW5vPnC5XLj44ouxePFi9Pf3AwAeeeQRBAIBfOlLX7K1DfMxs2XLFqiqip/+9Keor6833H7+858DYPECydi1axcuv/xy1NXVobKyEvX19Zg7dy6A7L7LbM4D8/E4YsQIABDH49y5c3H++efjtttuw6hRo/DFL34RCxYsSMiftcvOnTvhcrkSYkfGjBmD2trahPMl0/PUTluzc+dOHHDAAXC5jEMx8zm7c+dOjB07FpWVlYbHmT/fXI8DKxRFwXXXXYdoNCoym5Nx4oknYs6cOXj11Vczeg2CIAiCIFJDoi1BEARBEI6gKAoOPPBAfPe738XSpUvhcrkMrkIrjj76aAQCASxduhRvvfUWGhoacOCBB+Kkk07CihUrEAqF8NZbb4mc2mxJ5mhN5wR26vlWZFKBfvHixfj1r3+NX/ziF/jc5z6X9WsCub2XrVu34rTTTkNrayvuvvtuPP/883jllVdw3XXXAWAFxDLloosugqqqIkP1iSeeQE1NTdr3eeGFF2Lbtm247777MG7cOPz2t7/FYYcdluAsLiYuvfRS9Pb2YvHixVBVFY8++ii+8IUvoKamxtbzzccM/7xvvPFGvPLKK5Y3szjJicVi+OxnP4vnn38eN910ExYvXoxXXnlFFOvK5rvMhnTHo6IoeOqpp/Duu+/i2muvxd69e/GNb3wDRx11FHp7e7N+3XRF5jiZnKdAftqKdORyHKRi4sSJAJiT185j7TyOIAiCIAj7UCEygiAIgiAcZ9q0aRgxYgT279+f8nF86fBbb72FSZMmCXH2pJNOQigUwiOPPIKmpiacfPLJKbdjV4DJF/X19SgvL8fGjRsT/rdhwwa4XC4hgGTKpk2bcNlll2HevHnC0SozefJkvPrqq+jp6TG4bTds2CD+nynJPs/nnnsOoVAIzz77rMEh+frrr2f8GpypU6fi2GOPxeOPP45rr70WTz/9NObNmwe/35/2uWPHjsXVV1+Nq6++Gs3NzfjUpz6FO+64I21xuc2bNyfct2nTJkyZMiXbtyFIdSzOnDkTs2fPxiOPPIIJEyZg165duO+++7J+LR5B4PV6cfrpp2f03I8//hibNm3CwoULcemll4r7X3nllYTH2j2/8nkeHHfccTjuuONwxx134NFHH8XFF1+Mxx57DN/61rcy2s7kyZMRj8exefNm4WwFgKamJnR2dmZ1vmTK5MmT8dFHHyEejxvctuZzdvLkyXjttdfQ29trcNuaP99cjoNUcOe6HMmR6rF2HkcQBEEQhH3IaUsQBEEQRNYsX75c5NHKrFixAm1tbWkrrQNMoF2+fDlef/11IdqOGjUKhxxyCH7961+Lx6SC57t2dnZm+A6cwe1244wzzsAzzzxjWGLf1NSERx99FCeeeCKqq6sz3m5vby/mz5+P8ePHY+HChZbi2ec//3nEYjH88Y9/NNx/zz33QFGUtAKmFck+T+4ilF2DXV1dWLBgQcavIXPRRRfhvffewz/+8Q+0tramjUaIxWIJy/cbGhowbtw4W8vmFy9ebMj4XLFiBZYvX57VZ2WmoqIiZbTAJZdcgpdffhn33nsvRo4cmdNrNjQ04JRTTsEDDzxgOUHS0tKS9LlW36Wqqvj973+f8Fi751c+zoOOjo4El+qRRx4JAFlFJHz+858HANx7772G+++++24AwNlnn53xNrPZh8bGRkOWczQaxX333YfKykoRUfH5z38e0WgU999/v3hcLBZLEPpzOQ4A5qSNxWKG+yKRCO666y74fD6ceuqpKbf1wgsv4IMPPsh5FQBBEARBEEbIaUsQBEEQRNb861//wiOPPIL58+fjqKOOgs/nwyeffIJ//OMfCAQCls5QMyeddBLuuOMO7N692yDOnnzyyXjggQcwZcoUTJgwIeU2pk+fjtraWvzlL39BVVUVKioqMGfOnIzzKHPh9ttvxyuvvIITTzwRV199NTweDx544AGEQiH85je/yWqbt912G9avX49bbrkFzzzzjOF/06dPx6c//Wmcc845OPXUU/GTn/wEO3bswKxZs/Dyyy/jmWeewQ9+8AND/q1djjrqKADAT37yE3z5y1+G1+vFOeecgzPOOAM+nw/nnHMOrrjiCvT29uJvf/sbGhoa0rqqU3HhhRfixhtvxI033oi6urq0bsGenh5MmDABF1xwAWbNmoXKykq8+uqrWLlyJX73u9+lfb0ZM2bgxBNPxFVXXYVQKCQE1B/+8IdZvwfOUUcdhccffxzXX389jjnmGFRWVuKcc84R///qV7+KH/7wh1i0aBGuuuoqeL3enF7vT3/6E0488UQcfvjh+Pa3v41p06ahqakJ7777Lvbs2YM1a9ZYPu/ggw/G9OnTceONN2Lv3r2orq7Gf/7zH8tsY348fO9738OZZ54Jt9uNL3/5y5bbdfo8WLhwIf785z9j/vz5mD59Onp6evC3v/0N1dXVQoDNhFmzZuGyyy7DX//6V3R2dmLu3LlYsWIFFi5ciHnz5hkEynzxne98Bw888AAuv/xyfPDBB5gyZQqeeuopLFu2DPfee69wzJ9zzjk44YQT8KMf/Qg7duzAoYceiqefftpyUiDb4wBgRchuv/12XHDBBZg6dSra29vx6KOPYu3atfjVr36FMWPGiMcef/zxmD17No4++mjU1NRg1apV+Mc//oGJEyfaau8JgiAIgrAPibYEQRAEQWTNFVdcgfLycrz22mt45pln0N3djfr6epxxxhm4+eabMXv27LTbOP744+F2u1FeXo5Zs2aJ+0866SQ88MADtvJsvV4vFi5ciJtvvhlXXnklotEoFixYMKii7WGHHYa33noLN998M+68807E43HMmTMHDz/8MObMmZPVNrmr7fbbb0/432WXXYZPf/rTcLlcePbZZ/Gzn/0Mjz/+OBYsWIApU6bgt7/9LW644YasXveYY47BL3/5S/zlL3/Biy++iHg8ju3bt+Oggw7CU089hVtuuQU33ngjxowZg6uuugr19fX4xje+kdVrAax40/HHH49ly5bhW9/6Vlohs7y8HFdffTVefvllPP3004jH45gxYwb+/Oc/46qrrkr7epdeeilcLhfuvfdeNDc349hjj8Uf//hHjB07Nuv3wLn66quxevVqLFiwAPfccw8mT55sEG1Hjx6NM844Ay+88AIuueSSnF/v0EMPxfvvv4/bbrsNDz30ENra2tDQ0IDZs2fjZz/7WdLneb1ePPfcc/je976HO++8E4FAAPPnz8e1115rOA8B4LzzzsN3v/tdPPbYY3j44YehqmpS0dbp84CLqo899hiamppQU1ODY489Fo888kjW5/eDDz6IadOm4aGHHsKiRYswZswY3HzzzaJoV74pKyvDG2+8gR/96EdYuHAhuru7cdBBB2HBggW4/PLLxeP4uf2DH/wADz/8MBRFwbnnnovf/e53CW1rtscBABx++OE49NBD8fDDD6OlpQU+nw9HHnkknnjiiYQieRdddBGef/55vPzyy+jv78fYsWPx7W9/Gz//+c8xevRoxz4jgiAIgiAARc1nKj5BEARBEARBEAbmz5+Pjz/+GFu2bCn0rhAEQRAEQRBFCmXaEgRBEARBEMQgsX//fjz//POOuGwJgiAIgiCI0oXiEQiCIAiCIAgiz2zfvh3Lli3Dgw8+CK/XiyuuuKLQu0QQBEEQBEEUMeS0JQiCIAiCIIg88+abb+KSSy7B9u3bsXDhQkNxJ4IgCIIgCIIwQ5m2BEEQBEEQBEEQBEEQBEEQRQQ5bQmCIAiCIAiCIAiCIAiCIIoIEm0JgiAIgiAIgiAIgiAIgiCKiGFViCwej2Pfvn2oqqqCoiiF3h2CIAiCIAiCIAiCIAiCIIYRqqqip6cH48aNg8uV3E87rETbffv2YeLEiYXeDYIgCIIgCIIgCIIgCIIghjG7d+/GhAkTkv5/WIm2VVVVANiHUl1dXeC9IQiCIAiCIAiCIAiCIAhiONHd3Y2JEycKnTIZw0q05ZEI1dXVJNoSBEEQBEEQBEEQBEEQBFEQ0kW3UiEygiAIgiAIgiAIgiAIgiCIIoJEW4IgCIIgCIIgCIIgCIIgiCKCRFuCIAiCIAiCIAiCIAiCIIgigkRbgiAIgiAIgiAIgiAIgiCIIoJEW4IgCIIgCIIgCIIgCIIgiCKCRFuCIAiCIAiCIAiCIAiCIIgigkRbgiAIgiAIgiAIgiAIgiCIIoJEW4IgCIIgCIIgCIIgCIIgiCKCRFuCIAiCIAiCIAiCIAiCIIgigkRbgiAIgiAIgiAIgiAIgiCIIsJT6B0gCIIgCIIg0tO2uxHfvXMRLlr6JL64631g1Chg0iRg+nRg3Dhg9GigoUG/jR4N1NYCbnehd50gCIIgCIIgiAwh0ZYgCIIgCKLYue46vPPiB3jnizchOutMfHHd60BPD7B9O/Dmm869Tk0NE3utBGDzfdXVgIsWbREEQRAEQRBEPiDRliAIgiAIolhZsQKYMwcAEDnsVABAn68MWL8eePttYOlS9phNm5x5va4udnNqezIjR6YWgfl99fVARQUJwgRBEARBEMSwhkRbgiAIgiCIYiMYBA48ENi9W9wVdbFu24DHDxxyCLt9+9vWz1dVYOdOYPly4L339Fum+HzAQQexGIZRo4CyMqCvD2hqApqb9Z+xWPpttbWx2yefZL4f6eCibzp3cH09UF4OKIrz+0AQBEEQBEEQDkKiLUEQBEEQRDFx993ADTck3B1xsWzafl8g/TYUBZgyhd0uusj6MarKBNcVK4zCbn+//phwGPj4Y3ZLxbHHAscdp9+mTLEWRlWVbb+1VRd8ZfHX6j478Oc4jdudXAQ2/z1yJBAIkCBMEARBEARBOMKQFW3vuusu3Hzzzfj+97+Pe++9t9C7QxAEQRAEkRubNjFXK+f884H//If9HgwievwFAIB+rw3R1g6KwkTHc85ht2R0dQHvv28UdltbjY9ZsYLd/vCH5NuZOdMo7B51lLNF0uJx5gJuaUktAvOfbW3ptxmLAfv3s5vT+P3pncH8vro65nomCIIgCIIghg1DUrRduXIlHnjgARxxxBGF3hWCIAiCIIjciMWAuXOBZcvY34cfDtx0E/C1r7G/29sBv184bQe8/sHdv5oa4LTT2C0Z/f3A6tXGOIZdu4yPWbuW3R58MPl2pk0zCrtHHMHETTu4XEBVFbtNm2bvOXaJxYDubiYIp3MGNzUxoTsdoRCLv5AiMByjrMx+QbkRIwCv1/l9IAiCIAiCIHJiyIm2vb29uPjii/G3v/0Nt99+e6F3hyAIgiAIInsefRS4+GL97zVrgI4O4JRT2N87dzJRbWBAZNpG3F5EYnF43UVUqKu8HDj+eHZLRiQCrFuni7rLlwMbNhgfs20buz36aPLtjB3LirPJjt3KSmfeRzLcbvY9jBjBsoadJBplIm86ZzD/vbc3/TYHBoAdO9jNaaqq0juD+d81Nc66qQmCIAiCIIYRQ060veaaa3D22Wfj9NNPTyvahkIhhEIh8Xd3d3e+d48gCIIgCCI9jY1MfOT87GfAbbcxUZMLtqtXswJgAPDqq4hK4ld/OIaasiISbe3g9QJHHsluV15p/Zh4HNi8WRd133sP+PBD42P27wcWL2a3ZNTWMkF3zhx2O/ZYljlbjHg8bN9GjmTF5ZwkEmGTAFzwTScKDwyk32ZPD7tt3ersvgJMFLcTGdHQwMRj1xA7BwiCIAiCIDJgSIm2jz32GFatWoWVK1faevydd96J2267Lc97RRAEQRAEYRNVBS65BHjkEfZ3VRWwbx9ziu7bx3JfAeDll4FZs/TnLVqEiEvvtg2EY6gpK8El7S4Xy/U96CDgssusH6OqLFJAjmJYvpxFGHA6O4EXX2S3ZPh8uluXi7vjxpVWITGvVxc7+bHlBKrKitS1tdkrJtfUxATkdHR0sNvGjc7tK2fkSHvu4Pp6dj6W0nFAEARBEMSQRFFVVS30Tthh9+7dOProo/HKK6+ILNtTTjkFRx55ZNJCZFZO24kTJ6KrqwvV1dWDsdsEQRAEQRCM114DTj9d/3vJEuDUU9nv3d1sKTkALFwIXHqp8bl1dfi/mWfjj8d/mT31hrmYVp/nSIChTksLK44mF1CzEy1g5uijjTm7U6eSwzOfqCoQDLJid7IAbOUW5vfF44XbX0WxV0yuoQEYNYrlDZMgTBAEQRDDmu7ubtTU1KTVJ4eMaLt48WLMnz8fbmlpYCwWg6IocLlcCIVChv9ZYfdDIQiCIAiCcIyeHiba8KXnl10GLFigCzfhsF5s6/bbgZ/8JHEbioI7516OB467AADw3++eiJnjawZh50uc7m7ggw+Mwm5zc+bbOfRQo7B7yCEs9oAoLlQV6OszCsKpIiNaWgq7vx6PvWJyo0czQdjnI0GYIAiCIIYAdvXJIdObPO200/Dxxx8b7vv617+Ogw8+GDfddFNawZYgCIIgCGLQ+clPgF/9Sv+7qYmJLBxV1QXbb37TWrDViLqleIRILOnjiAyormZuZ+54tiIYZAXiZGHXXOBr/Xp2+8c/km9nyhSjsDtrFhAIOPEuCLsoCos+qKxk34eTxONsgqalJb0zuKmJxUCkIxoF9u5lN6fx++0XlKurY4IwQRAEQRCDypARbauqqjDTlMVVUVGBkSNHJtxPEARBEARRUFavBmbP1v9+/HHgwgsTH8eX2Z98MvDgg9bb0hZFRb26aNIfJtF20AgE9Mzb73/f+jHRKBNt5QJq69cbH7NjB7s99ljy12poMAq7Rx/Nco+J4sflYhEnNTXAjBnObjsWY67wdM5g/rud4suhEMuG3r3b2X0FgIoK+5ERtbXkSicIgiCIJNAVkiAIgiAIwinCYeag3LCB/X3qqcCrr1pnoB54IPs5ahTw5pvJt7lmDQAgMnKUuGsgHHVqjwkn8HiAI45gt+98x/ox8TiwdauxgNoHHxgf09wMPPssuyWjqkovnsZ/jhqV/PHE0MftBkaMYLeDDnJ229EoK9yXzhnM/+7rS7/Nvj5g+3Z2c5rqavuREdXV7LMjCIIgiCHKkBZt33jjjULvAkEQBEEQBOPPfwauuUb/e/Pm5I67c89l/wfSZ6guWgQAiNbUirv6+4I57ChREFwu4IAD2O1rX7N+jKqypfBc2OU/IxH9MT09wCuvsFsyPB6jqHvcccCECZR3SiTi8TDRf9Qols3sJOEw0N5ur5hcUxNz/6aju5vdePvpJCNGWIvA/Hf+s76eTZ5QQUKCIAgizwxp0ZYgCIIgCKLgbN8OTJum/33vvcmX0QPA9dcDzz3Hfo9G0wtpXLQtKxd39bd3ZbmzRFGjKExcnTABOP/85I9rbQVWrjTm7MpL4qNRYNkydkvFpz6li7rHHccmGUiIIpzC5wPGjGE3J1FVJgjLBeXSicJRG6sTOjrYbeNGZ/cXYEJvMhFYForr64HycppgIQiCIACQaEsQBEEQBJEd8Tjw+c8DL73E/p46FfjkE72wmBW//z1wzz3s9/5+e0t3tUKs0bh+10CHjcxKonQZNQo46yx2S0ZPD7BqlVHYbWw0PmbVKna7//7k2zn4YF3UnTMHOOwwwOt15n0QRDYoCmtnx49nNydRVWBggAnCdiMjtNzxlLS0sNu6dc7ur6LYKybHHcKBAAnCBEEQQwgSbQmCIAiCIDJl0SLgvPP0v1euZEWjUvGf/wA/+AH7va0NKCvL6CWjMV21Hejuzei5xDCkqgqYO5fdkhEKAR99ZBR2t20zPmbDBnZ76KHk25k0yVhA7cgjMz6+CaIoUBTmdJ00id2cRFWB3l4m3tqJi2hrs7fNxsbECRkn8HpTO4PlnyNHMmc1CcIEQRCOQqItQRAEQRCEXVpbmVuJc+ONwG9/m/55b78NXHAB+337dqCuLuOXjsR1N1d/j41iQASRDr8fOOYYdvvud60fE4sx0VYWdteuNT5m1y52e+KJ5K81apRR2D36aKCmxrn3QhDFjqKwyZSqKmOkjhPE48xdz0XfdJERHR3ptxmJsIztvXud3VeAOX5TicDy73V15O4nCGLYQqItQRAEQRBEOlQVuOoq4IEH2N8uFyuwY0d02rABOOkk9vv77wNTpth/3aYm9vO00xCVRNsBKkRGDBZuN4tEOOww4JvftH5MPM4mI5Yv14unrVhhfExrK/Df/7JbMioqjBm7c+awSRJy7xFEalwudj2qqWHFDp0kFgM6O3WHcLrIiJ6e9NsMBoGdO9nNaSor0zuD+e81NawYH0EQRJFCLRRBEARBEEQq3n5bF10B4H//Az73OXvPbWwEDjlEf95RR2X22rxg2fz5iH4sOW37bVRZJ4jBwuUCpk9nt69+1foxqgrs328UdpcvZ+INp68PWLKE3ZKhKLqgy8XdSZNI2CWIfOF2s/iDkSNZxrWTRCLM9WunmFxTE8sbTkdvL7uZo16coKbGfmREVZW93HqCIIgUkGhLEARBEARhRV8fMHmynit44YXAY4/ZF4d6e4GxY9nvf/+7faFXZtEi9vPccxH56Blxd38okvm2CKKQKAowbhwwfz67JaO9nWVE8yiG5cuNS7lVFXj3XXZLxaxZRsfugQeSgEIQxQbPzW1ocH7b4TBrT+wUk2tuZhnf6ejqYrfNm53f37o6e2JwfT1zE7tczu8DQRBFB4m2BEEQBEEQZu64A7jlFv3vPXsyq1IeiTCXDQD8/OfAN76R3X688AL7OXEiolKB8oFI3PrxBDHUqasDzjyT3ZLR1wesWmXM2d23z/iYNWvYjUeaWHHAAcac3ZkzWTElgiCGPj4fMGYMuzmJqrIVAm1t9uIimptZxEQ62tvZ7ZNPnN1fIFEATuYWrq9nhfho5QJBFA0k2hIEQRAEQXDWr2fZnZyFC4FLL81sG6qqCz+XXALceqsjuxZR9UFUv6zgEsRwo6KCRZbIsSVmwmHg44+Nwu6WLcbHbN7Mbv/6V/LtTJhgjGP41KeYqEEQxPBEUYCyMtY2TJjg7LZVFejv1/OD00VGNDfb2y5/jrmIZK643faKyY0ezeI1AgEShAkiQxRVVYdNr7+7uxs1NTXo6upCdXV1oXeHIAiCIIhiIRplosyqVezvOXNYlm02BUo8HuaqmTOHCUW5wAc3qoovfOtPWDtqCgBgVusOPPPgNbltmyCGO7EYsGmTUdj96KPMt1NXZ4xiOOYYYMQI5/eXIAgiW+JxtkqhpcWeO5hHQxUKn89+fnBdHeD3F3Z/CSJD7OqT5LQlCIIgCGJ4s2CBMb5g/Xq9eFimHH44E4IqK3MXbHm+3oEHAgCiip5f169Qlh1B5Izbzc71Qw4Bvv5168eoKqtwz4un8ZtMezuLMuFxJlYEAsYohjlzmOBArjOCIAYDl4vFNlVVAdOmObvtWAzo7tYdwulE4a6u9NsMh1k01Z49zu4rwJzSdsTghgY2Aef1Or8PBGETEm0JgiAIghie7NkDTJyo//2rXwE335z99r70JX3pYXd3bvsGAK+/zn5qRZsikOIRPOQoIYhBQVGAKVPY7aKLrB+jqkyMWLFCL5723ntsmTMnGATeeIPdUnHssUZxd8oUEnYJgihu3G4mbo4YISaaHSMaBTo7jQJwKmG4tzf9NgcGgB072M1pqqqSi8BmgbimhgpkEmkh0ZYgCIIgiOGFqgLnnw8sWsT+Hj0a2LYtt5zKm24CnnqK/R6NOiOy8P3TRNuoS+/YD3gDuW+fIAhnUBRW7Ojcc9ktGZ2dwMqVurC7fDnQ2mp8zIoV7PaHPyTfzuGH6xm7xx0HHHwwDfwJgihNPB5g1Ch2O/RQZ7cdiQAdHfbiIpqbmdibjp4edtu61dl9BYDa2gQRuL1+HJ4aeyTmn3ci6utrnH9NouBQpi1BEARBEMOHF14Azj5b//vtt4ETTshtm3/+M3CNli/b1+dckaKGBrbUMBYDXC6ccNUC7K1pAAAEIkFs+N35zrwOQRDFQ38/8OGHxiiGbJYHT59udOwecYReIJEgCILIH6rK4h3a2tI7g/l9kUhWL/WH47+Mu0/6Gq44IICbv3maw2+EyCeUaUsQBEEQBMHp7DQWBrr6auCPf8zdEfvMM7pg29zsbFX5lhb208XyayOS0zboDSAeV+Fy0bJpgigpysvZRFKqyaRIhEWxyMLupk3Gx2zdym6PPJJ8O2PHGoXdo44CKiqceR8EQRDDFUVhhdHGjWM3J1FVFrfT2go0NaHr3SZgL7DLX+vs6xBFA4m2BEEQBEGUNtdfD9xzj/53ayswcmTu233vPWDePPb7li1AfX3u20xB1G3stg1EYqjwU1eOIIYdXi8weza7XXWV9WPicWDzZqOwu3q18TH797MYFh7FYkVtrTGK4dhjWaV2giAIYvBRFFZIbeJEYOJERPauBfbuxP6uYKH3jMgT1NMnCIIgCKI0WbGCiQ2cxYuBL37RmW1v3gx8+tPs9+XL2VJkJ+HpVZJzV3baAkB/mERbgiCS4HIBBx3EbpddZv0YVQV279YLp/FbPK4/prMTeOkldkuGz8cEXS7uzpnD3GVUQI0gCCKvhKOsvW4k0bZkoZ4+QRAEQRClRTDIhIpdu9jfX/gC8OyzzgkIzc16deTnnmPOM6dZt4791IqQAUDMJNoOhGPOvy5BEMMHRQEmTWK3L33J+jGqyqJaeAE1fpMrtIfDwNKl7JaKo4/WHbtz5gDTpon4F4IgCCJzwjEm2jb3BBGNxeFxU5taapBoSxAEQRBE6XDPPSwOgbNjBzB5snPb7+tjVXsB4P77mSCcDxYvZj8l0TbqMnbb+iPR/Lw2QRAER1FYUcSzzzYWcTTT1QW8/z5z7XLnbnOz8THvv89uf/xj8u0ceqgxZ/eQQ1j1eIIgCCKBSIytzIqrQEtvCGNrygq8R4TT0BWQIAiCIIihz+bNuvsVAP7yF+CKK5x9jWgUqKxkv998M3Dllc5uX4ZnTJ55prgr4mZO20AkiKA3gH5y2hIEUSzU1ACnncZuyRgYYLm6772ni7s7dhgfs349u/3jH8m3M3WqMY5h1iwgEHDiXRAEQQwpIlE9zmZ/V5BE2xKERFuCIAiCIIYusRjwmc/oy3JnzgRWrWKFepxEVfVtXngh8KtfObt9M6tWsZ+aSByLq1AVtuStOtyPoDdA8QgEQQwtyspYFjjPA7ciEmGirRzFsGGD8THbt7Pbv/+dfDujRxsdu0cdBVRVOfM+CIIgigQejwBQrm2pQqItQRAEQRBDk8ceA77yFf3v1auZ4yofcIftrFnA44/n5zVSEJE65dXREJoBctoSBFF6eL2snZ01K/lqiXgc2LrVKOzyiS5OUxPwzDPsloyqKqOwe+yxwKhRzr0XgiCIPCP3D/eTaFuSkGhLEARBEMTQorERGDtW//unPwV+8Yv8vd4xxwD9/UxMWL06f6+TgmhcFb9Xg2XZ9g+EC7IvBEEQBcXlAg44gN0uucT6MaoK7N2r5+vyW1TKAu/pAV55hd2S4XYbhd05c4AJE5wrbEkQBJED4ajstB0o4J4Q+YJEW4IgCIIghgaqClx6KfDww+zvqipg3z7dBZsPLr6YFc4BgFAof68j09rKfp58srgrKjttXUzAHejoAjBxcPaJIAhiKKEoTFydMAE4//zkj2ttBVauNAq73d36/2MxYNkydkvF7NlGcXfGDCYuEwRB5BFy2pY+JNoSBEEQBFH8vPYacPrp+t9LlgCnnprf1/zpT4FHH2W/RyKD56z673/Zz/nzxV28OjAAVPnYfvR3doMgCILIgVGjgLPOYrdk9PSw+AVZ2G1sND7mww/Z7f77k2/n4IONBdQOO8z5/HWCIIYVlGlb+gwp0fb+++/H/fffjx1aldHDDjsMP/vZz3BWqossQRAEQRBDl54eVlBmQFvydfnlrKp4vgXUBx8Ebr9d3wfPIHaZFi1iP+fNE3fFtHgEdzyGcr8PADDQ2TN4+0QQBDFcqaoC5s5lt2QEg8CaNSyOgUcybNtmfMyGDez20EPJtzNpkjGKYfZsVsCNIAjCgkhUn9Rv7CbRthQZUqLthAkTcNddd+GAAw6AqqpYuHAhvvjFL+LDDz/EYYcdVujdIwiCIAjCSW65BbjjDv3vpiagoSH/r/v888C3v81+b2zMb/yCFc8+y35OmSLu4svfPLEoyip9QD/Q39M3uPtFEARBWBMIMJF1zpzkj4lGgU8+0d26y5cD69YZH7NrF7s98UTy7dTXGx27Rx8N1NQ48z4IghhSyPEITd1BxOMqXC7K3C4lhpRoe8455xj+vuOOO3D//ffjvffeI9GWIAiCIEqF1auZu4jz2GPARRcNzmu//z7whS+w3zduZC7fIoAXIvPGYyivKGOibS85KgiCIIYMHg9w+OHsxicGzcTjzKErF1DjueqclhbguefYLRkVFdh98hl48vSLcdnlZ2BkXZVz74MgiKJBjkeIxFS09YVRX+Uv4B4RTjOkRFuZWCyGJ598En19ffj0pz9d6N0hCIIgCCJHmjr7cd/19+KS5/6KgwDglFOAV19l1bsHg+3bgWOOYb8vWwYceODgvK4NeCEyTzyK8uoRQEsMA/0k2hIEQZQULhcrYjZjBiuEaYWqAvv3G4Xd994DwmH9MX19eDDSgIXNAVS88QmuOO/Ywdl/wnG6gxFUByj7mLAmHI0b/m7sCpJoW2IMuZKWH3/8MSorK+H3+3HllVdi0aJFOPTQQy0fGwqF0N3dbbgRBEEQBFGcLH5rIx5umIW/H/NFYPNm4PXXB0+wbW0Fpk1jvz/9NHD88YPzumYiEfaT7wu/WytE5onFUFbDHFP9ocig7hpBEARRBCgKMG4cK1b5618Db74JhEJMzJVubRdfDgDorqgu7P4SWfOvd3fgiFtfxgsf7y/0rhBFCo9HqPCx/vL+roFC7g6RB4acaHvQQQdh9erVWL58Oa666ipcdtllWL9+veVj77zzTtTU1IjbxIkTB3lvCYIgCIKwS1+gAgDQeuHXmMtosBgYYBmBAPCHP7CBcKF4803207QP0TjrlHvjUZSPYAPw/lBsUHeNIAiCGDr0qWyob3biEUOHd7a2AQDW7u0q8J4QxQqf1J9YVw6AipGVIkNOtPX5fJgxYwaOOuoo3HnnnZg1axZ+//vfWz725ptvRldXl7jt3r17kPeWIAiCIAi78IFle184zSMdJBYDyllHFzfcAHz3u4P32lYsXsx+mkRb4bSNx1BexwrODNBAnCAIgkhCnzaxF6JrxZBlV3s/AGAgQpO0hDU803aSJtru7yLRttQYspm2nHg8jlAoZPk/v98Pv5/yPAiCIAhiKMBF287+QRJtVZUVhgGAefOA//u/wXndVCxaxH4ed5zh7hgvRBaLIhDwAQD641QdmCAIgrCmJxQFQE7bocxuTbQNRug7JBJRVVWc35NHak5bEm1LjiEl2t58880466yzMGnSJPT09ODRRx/FG2+8gZdeeqnQu0YQBEEQRI6EY8xJ0tE/SFmtI0eynwcfrIulhWbfPvbTlOXLC5G5oaJcyy0bGHoLpgiCIIhBok8TbclpOzTpGoigO8i+wyA5bQkLotqEPiA7bSnTttQYUqJtc3MzLr30Uuzfvx81NTU44ogj8NJLL+Gzn/1soXeNIAiCIIgc4W6B7mAEsbgKtyuPTtITTgA6Otjvn3ySv9dxiIjWMfcgLkTbfhdVkyYIgiCs6SWn7ZCGu2wBYCBMoi2RCC9CBkiZtuS0LTmGlGj797//vdC7QBAEQRBEnuADS1VlDpO6Cl9+XujrXwfeeYf9Hi+iwayqOSZ8ie+bO229UFHmZd23fm9g0HaNIAiCGFr0ktN2SLOnQxdtg1ESbYlEIlHdaTthBBNtm7qto0OJoQutqyMIgiAIoigIS46BvBUj++UvgYce0l4wDChFlAu7YQP7OW9ewr9EITI5HsFLuf0EQRBEIuFoXEyEhkjwG5LsbteXuZPTlrAipMWKKQpQW85WXw1EYohLsQnE0IdEW4IgCIIgigJ5CWdeipE99BDws5+x37u7AW+RxQs88wz7OX9+wr+imiPYo0CPR/AFoKrUMScIgiCM8DxbgOIRhiq7ZactZdoSFvAJfa/bJfqGABNuidKBRFuCIAiCIIoCeQmn48XIXn6ZxSIArNhXVZWz23cCXgzt859P+FdU64B7FaBM65iriouWvRIEQRAJ9EqiLV0nhiZypm0wQt8hkUhEO7d9bhcCHl207SdndklBoi1BEARBEEVB2CDaOui0Xb0aOPNM9vu6dcDYsc5t20lWrGA/q6sT/hUJsowyjwso9+klCahjThAEQZjpC5PTdqizu0OKRyDnJGEBL0TmdStwuRQ9Pov6hiUFibYEQRAEQRQFcqatY/EIO3cCs2ez35cuBQ491JntDjIxTbT1uhS4XQp8Ufb59EsDc4IgCIIAgN6gJNrGSLQdaqiqaihERqItYQV30fs8TNYT8VkR6huWEiTaEgRBEARRFMhuoPY+B+IROjqAKVPY748/Dpx0Uu7bLBDcaet2sa5bvYd9Vluaewu2TwRBEERxYoxHIMFvqNHSGzJEIgTJOUlYoDttWd+Qx2fRKqzSgkRbgiAIgiCKAkcLkQWDQF0d+/13vwMuvDC37eWbjg728/jjLf8dDbHPw+NWAACnzDkQAPDSuqb87xtBEAQxpOgL6aINxSMMPXa3s2gEr3bND5LwTljAC5H5NNG23MvisygeobQg0ZYgCIIgiKJAXsKZU6ZtPA6UlbHfv/c94Prrc9yzQeD559nP+fMt/81FW+6m+NzMMQCAV9Y3IhZX879/BEEQxJChN6SvVklXiOyjPZ14Z0trvneJyAAejTBtVCUAJs5FKOaCMEFO2+EBibYEQRAEQRQFxkJkWcYjqCrg1ironnUW8PvfO7Bng8DixeznvHmW/44Ipy3ruh03bSSqAx609oaxalfHIOwgQRAEMVTozcBp+/UFK3HpP1aga8CBWCLCEXa3M9H2gNGV4r4g5doSJsLJMm2p3kFJQaItQRAEQRBFgSPxCOPHs59TpwIvvODAXg0SixaxnzNmWP47qrmmvB7WIfe6XTj90NEAgBfXNuZ//wiCIIghQ5+UaZtKtI3G4mjrCyMaV9GV7WQp4Tg8HmF6vSzaktOWMBIWTlsWo8FFW4pHKC1ItCUIgiAIIoH2vjAufOBdPPn+7kF7zZwLkX3mM8D+/ez3bdsc2qtBIp56MBYNs8/Do4m2APC5w1hEwotrG6GqFJFAEARBMORCZNG4mjRGJyhdd6lgWfGwW4tHmFRXjjIvu+6T05YwkxiPwDJtKR6htCDRliAIgiCIBJZtacWK7e14bOXgibahmNFpm5EQecUVwOuvs99jpddZjXDR1quLticfWI8yrxt7Owewbl93oXaNIAiCKDJk0RZI7raVHXnpsm+JwYOLthPryhHwMslmgERbwkRCPIKX4hFKERJtCYIgCIJIgA/4+kKD0/FTVdUwqIzG1YRBZ1Luugv461/Z76EQ4Bpi3Zuo9j4nTUr6kFiEPcarVQYGgIDXjVMOqgcAvLyOIhIIgiAIhvnancxFK7s3yWlbHKiqiv2dQQDA+BFl5LQlksKdtj4qRFbSDLFRDUEQBEEQg0FvkA34BqvjF4klumo77eTrPfIIcPPN2hM6AZ/P2R0bDN5+m/2cPz/pQyKaaOuWRFsAmHsgE22Xb2/Pz74RBEEQQw5+Deckc9oaRFvKTC0KQtE4olqcRXXAgwDllBJJCGt9Zx6PUE6ibUlCoi1BEARBEAlwl+tgdfzCUjTCiHIvAKAjXTGyJUuAr32N/b57N1BTk6/dyy+LF7Of8+YlfUhUc0B5fV7D/UdPqQMArNnTmbZCOJFfIrE4uoNUyIcgiMJjXqmSLPpALm5F8QjFgSykB7xuBLQse4pHIMxEtHPW6zGKtiTwlxYk2hIEQRAEkQBfWjkwSLlYsuDYUBUAwIqhJeXjj4HTTmO/f/QRMGFCPncvvyxaxH6eeGLSh3DR1mMSbafXV2BEuRfBSBzr9nXlbReJ9Hz5r+/h1N++gebuYKF3hSCIYY5d0XaA4hGKDv6deN0KvG6XWPIeJCc0YSIsCpEpAKRCZCTwlxQk2hIEQRAEkYBw2kZimRUEyxIu2rpdCkZWsoiDpPEIe/YARxzBfn/tNeDww/O+f3ll1y720+NJ+hDupjCLtoqi4KjJzG37wc6O/OwfYYuP93ahrS+MxwexeB9BEIQV5kxbW/EI5LQtCvgKJ55lS5m2RDJ439Cf4LSlQmSlBIm2BEEQBEEkwEVbVR0cd4eogOt2YUQFE20t4xG6uoCJE9nvDz8MfOYzed+3YkDEI/i9Cf87esoIAMDKHZRrWyjicb2Q3mMrdyMWz/9EB0EQRDJ6Q0aBL5mLVnbakihYHPCl7dxhG/BSPAJhTUQ4bSnTtpQh0ZYgCIIoONFYHA8t244Njd2F3hVCQ3bp9A/CjH04xjqYPo9LyrQ1OW1DIaC2lv1+113AxRfnfb8GDVfqLhnvmHv8iYXWjp7MRNsPdnYMiiuaSCQoCSJ7OwewdFNLAfeGIIjhTm+IXT95VXly2g4d+HfCHbYBL/sOKaeUMGMuRMaPGRJtSwsSbQmCIIgE/v72dizZ0DRor/fO1jbc+tx63P7fTwbtNYnU9BpE2/x3/vhgkYm2PB5BctrG40CAZd3iiiuAm27K+z4NClu2sJ8pipABQFTrmHsC/oT/HT6hBj6PC629Yexo63d6DwkbmN3ojyzfVaA9IQhiuBONxUWbVKetXJGLfcqE5EJklJlaFIh4BC2fVMQjUOYwYYJPxuhOW3bMkMBfWpBoSxAEQRjY2daHX/53PW5++uNBe02+DN5yOTxREOSllYOxJE+OR6jVRFtDITI3G7TgM58B/vKXvO/PoLF4Mfs5f37Kh8XiWsfcQrT1e9w4YnwNAOB9ikgoCOZlxUs2NGF/10CB9oYgiOFMnyTY8LihZIIsFSIrPgaE01ZzT/JCZCTEESb4Kiyfx3is9Eco07aUINGWIAiCMNATZBf6jr4kRaDyAHdZ0tK84kGORzAXNMkHYamYQl0Fi0cQhcimTmU/x45lhcdKCS7ann12yodFtIxUt4VoCwBHT2HFyN7fQcXICgEXbasCHhw7tQ5xFVj84b4C7xVBEMMRvlLG53ahys+cd8mcthSPUHyIeATKtCXSIERbtwJALkRGx0opQaItQRAEYYB37MOxeNIMNKfRRVvqZBQLcjzCYHT+wpJbgDttO/rDwFlnATt2sAft3Zv3/Rh0li1jP0eMSPkwfipaOW0BPdf2/Z3OOG3/88Ee3LL4Y8SpoJYt+FLkgNctvovmnmAhd4kgiGEKn2it8Lvh19yadgqRkWhbHIh4BC8T3LloOxhFYYmhRZgKkQ0LSLQlCIIgDESkTvtgOCwBIKQNGihPrXgY7EzbsFWm7Z4m4MUX2QNiMUBR8r4fxUpE00492uDNzJGTagEA21r7HKkAfvcrm/Dwe7uwfj8VB7QDzxoMeF1imeJgTXoRBEHI8Ot3ZcBjoxCZnGlLQk8xMBA2Om3LyGlLJMGcacuPmYFIjArTlhAk2hIEQRAG5CV0vYMl2kZ1dy9ReMJRo8u6f5AzbUeUs3iE9qgm0g4MAK7h3WWJquyz8CT5HEZW+FBT5oWqAjva+nJ+vf4wO/fJ/W4PLpQHPG4xeIpQe0YQRAHo1WKuKnyetJNIFI9QfJgzbQPaTxJtCTPmTFteiExVyZldSgzvERBBEASRgCw0DNbyGnLaFhdmh3X/YGTayvEIZcxpO+ALINzSCgQCeX/9gtDVxX4ee2zah/JvwOu2dhsrioKpoyoAANtbchdtIzHV8JNIjRBtvW74yWlLEEQB4dfwSr9HtEfJBFkSbYsP7rTlAhx32qZyQoeiMfQEB68WBVEc8D4ad9SXSaux+OQ7MfQZUqLtnXfeiWOOOQZVVVVoaGjAvHnzsHHjxkLvFkEQREkhCw2D7bQNRWk5TzFg/t4HQ7wPSfEIAZ/ePQlVVuf9tQvG//7Hfs6fn/ahEWhOW3fyrts0TbTd1pq7aMvbAXKL2kPPtHVJTltqywiCGHwM8QhpRFtjpi05OYuBAWkSEDAueU/GeX9+B3N/+wYVoBpm8D6a18P6iG6XIiZqKNe2dBhSou2bb76Ja665Bu+99x5eeeUVRCIRnHHGGejry31wQhAEQTDCktAwaJm22mAirgJRKnxUcPpMs/ODsSRPjkfwuV0ivrakl3ctXsx+zpuX9qExTbT1upLn+gqnbY6iraqqwvlMoq09ZKctF20p7oXIlQ93deCxFbtoMpPIiF5RiMwDv0dzadpx2pby9XYIoRciY98d/w6TCbL94SjW7etGe1+YCmAOM0KmTFtAL0ZGcRqlg6fQO5AJL/JiJBoPPfQQGhoa8MEHH+Dkk08u0F4RBEGUFgUpRBY1Ls/zpnATEvmH5+FxBmOJlVyITFGYUyAYiTtSVKtoWbSI/Tz44LQPjWrz7KmctlPrnRFtZbGR3KL20J22bipERjjGDU+uwbaWPhw+oQaHjasp9O4QQwQRj2Aj03ZALkRGbVZRwPs9XHzjTttkk9jN3SHpufn9Dre19OLeVzfjmlNn4KAxVXl9LSI9ItPWINp60NEfIadtCTGkR8VdWhZcXV2d5f9DoRC6u7sNN4IgCCI1smDTN2iZtlS9uJgwxyP0hQbBaWsqpsCXBZb0cs1w2PZDI242z+4eBKetPLgnp609jE5b9h3RZ5eebS292NBI/XMrYnEVu9r6ARhFGYJIR49lPIL1tTRI8QhFB3fUBrho6+WirfX309Stu2vz/R3+Z9UePLtmHx5fuTuvr0PYQ49H0GU9LvJTpm3pMGRF23g8jh/84Ac44YQTMHPmTMvH3HnnnaipqRG3iRMnDvJeEgSRDb2hKH686GO8u7Wt0LsyLJGFhsGORzD/ThQGs0g7GBlpXCjkWVwBT2pnyXAj6mKfR7JCZAAwZSQTbdv7wujsty8ImyHRNnOC2kA54HFRITKbqKqKCx94F/P/9A4NLi1o6QmJuKCuASowRNinzxCPkLo9okJkxUd/xBiPEPCy7zDZcvemnsFz2vK2aCBCbXYxEIkaC5EBUjwCOW1LhiEr2l5zzTVYu3YtHnvssaSPufnmm9HV1SVuu3fTjBBBDAWWbGjGo8t34c9vbCn0rgxLClOIjAYNxURvyCgQ9A9ypi2gD1JKNh4hpr2vceNsPTziYk5bjyt5163C78GY6gCA3Ny2hniEKMUj2EGOR9ALkVFblopITEVrbxgDkRh6giQAmNnbOSB+J9GWyAQ+8VrlTx+PQJm2xUcwbIpH8KbOKG0eRKctj8+ivnpxwPtrcqwcP14oHqF0GFKZtpxrr70W//3vf7F06VJMmDAh6eP8fj/8fv8g7hlBEE7AHWLUeSwM4YI7bamTUWh6E5y2+T8OIqZ4hHTFU4Y8777Lfs6fb+vhUXd6py3AIhIau4PY3tqH2ZNGZLVrBqdtvEQ/f4fR4xFcaau1Ewy5rSdXciL7SLQlsoRPglT4PULoS9YeDVA8QtExkOC0TR2P0NglibZ5Hjvx/iG12cWBXA+CQ07b0mNIOW1VVcW1116LRYsWYcmSJZg6dWqhd4kgiDzAO5skFmTHHc+vx41Prsm62rTsrBusWVpjpi1974WGi/VVfo/2d/6Pg5Cp41nyTtvFi9nPefNsPTzKnbZpivQ5UYzMINrSwMwWxkxbctpa8cLH+3H946vFZ0UxHKkh0ZbIFj0eIX1hxGCeCpHF4ype+Hg/bntuHb7y1/dwwxNrEI/Tyg078LgYnk2qi7Zxy8/QEI+Qb6etthKLRNviQGTaShP65VrfnWKHSoch5bS95ppr8Oijj+KZZ55BVVUVGhsbAQA1NTUoKysr8N4RBOEUXLSNUtXyjInFVfztre0AgOs/eyDG1WbeNsqD58GKRwhSPEJRwb/3+io/ekLRwYlHEBVw2eDE7y3xTFsu2s6da+vhES3T1pOiEBkATNOKkW3LQbQNGcQ0aoftYC3a0mcnc9+SLfhkfzfmzR6Pkw+sN8Zw0GeVgCzadjss2r60rhHT6yswo4Gqv5cifZpYUxXwiPbcXiEy5663y7a24upHVhnuu3LuNBwwmo65dPB+D3facvEWYN+R/DdgKkSWd6ctO7bCNNFWFIhVanKmLY9HKFXTwzBkSDlt77//fnR1deGUU07B2LFjxe3xxx8v9K4NSWI020kUKXwWl5w3mSN3vtt6sytEVJB4BIPTgzoZhYZ3ykdVsYihwYhHMC/xSrcccMizdSv76fXaenhMFCJL47TVRNvtLQ5l2hZ4xUMwEst61cBgImfaUiEya7pFARttuXaEnLap2NupCzFOOm03N/Xgin99gOseX+PYNonigueOVvikQmRJzjH5Guvk9bapm7k/p4wsR00Zu8710XJtW4h4BO60lZa+W31HcqZt3p222rFF17figH8PXipEVtIMKdFWVVXL2+WXX17oXRtyLHxnB4649SWs2tVR6F0hiAS405YmFjJH7sy19oVSPDI5BS9EVqrOyiEEF+sbNNF2MGIyEkRb7We+ByBDAVVVEXXzeIT0mbYAi0fIVuw0xiMUrh1u7Q3hmDtexZUPf1CwfbCLnGlL8QjWcPcfd/MZnbb0WZnJVzxCSy/rG7T0ZNdHIIqf3pCeacsdeFYiWzQWN7jcnXTa8jbxwNFVqBd9CVqubQcRj6BNXnvcLrH83VyMTFVVIZADlGk73ODnr5xpW+bj8QiD039u6QnRNTzPDCnRlnCOtza3oi8cw8rt7YXeFYJIgM/iRkm0zZig1Ilywmk7aJm20n7TkqvCw8/BhqoAgMKItjwegUR8Y1uYLh5hYl053C4FA5GYYSCXCcWSNbq1uRc9wShe/aR50Fz/2cLb3oAnfYbkcIV/hyFLpy1d783s68qPaMuPS5oQK11ELn3AA783eWHEoOm+WFxF1KE2X46Mydb5t2J7O07+zetYsqHJkX0aCsTjqh6PIMUg8NVHZtG2JxQ13DdombbUVy84qqqK78HKaTsYkyQ7Wvtw3J2v4fuPfZj31xrOkGg7TOEX88Fy0RFEJohCZNQhyBhjPEJ2go1ceGjQ4hGk16R4hMIjZ9oCg9Px4x1Pv3sYOG137GA/zz3X1sPlfO90hci8bhcm1ZUDALa19ma1e8Ui2vJjIhZXi35lkDHTlgnrNKjVCUVjQpjVnbb6uU3XeyN9oSg6+3Wh1slMWyHalmr0zDBnf9eAiCGoDnhFTrzVJJLVMeCU25ZvJ+B1CcdophPA/1u7H7va+/HK+uEj2sqfP//c5N/N31lTV9Dwdz4nuqOxuBCUaVKy8MgT+j5L0Tb/bfzGph7E4io+3tuV99cazpBoO0zhA3IujhFEMdEdZIMTikfIHINo25ed07YQhchCEYpHKCb4MmYej5CsYrGTJM+0Lb3jIbToGeyprgfmz7f1eDlXNp3TFmBuWwDY2zGQ5pHWFEuBKHlQuKLIVwbJ8Qg+KUNyKOTxDgZ9Ib2N598rZdomZ3+X8dx11Gkb46ItHZ+lyMJ3dgIA5kytw4gKX0qnLXe+yoKPU6KtE07b/Vqus9x+lDryJLlBtPUlEW1NK2ryWczXqh0nCof8HXg9et+wbBBFW64ltWe5upOwB4m2wxQuxHBxjCAKyapdHdghVTrnxyctl8wcWeBqzdJpW5BCZAanLXUECw2PR+BOWyBxSV6utPWG8JnfvYH7XtsMwEq01QaaJegGu6mpGidetQBrjznV1uNlp226QmQARNGXbCddisZpK+3H8iEj2rqFAKKqNPnI6ZVMAqKafZFMDhQjvAgZnzjrC8ccOxdlsZzc4KVFXyiKR5cz0fabJ04FgJSZtnxlU7lfXyHg1Gono2jLMzYzuybxyYvhlIXL+1p+jwsuaZI24OHCt/F7bOo2Om3z6aDvCem6AfXVC498TbBy2g5GIbJeTUvqC8do9UYeIdF2mEJOW6JYaOkJ4Ut/eReXL1gh7usRmbbUIciUkCEeIctMW6nw0GC4G6KxuGGJD8UjFB5eaGJkpQ+KNmboc3jQtGpXJ7a19OHZNfsA6AIO73gGkiwFLAXeq54EANge9dp6PM8YVNQ43DactpV+NkDO9hpfNKKt9Nqrd3cW9bHAJ8zkQmQAiZEceQKBt/HFcpwVI7wI2UFjqsR9TkUkyOdVKa5kGM78Z9UedAejmDKyHKcdMhqAPhFq7bTVslO9bvg9zubIizbR4xLOv74MRSQ+eTGc4vy40Cbn2QJAIJnTtscUj5BHMdXYjlPbUWh4W64oMPQNy7zZTZJkg3xMtGe5wpNID4m2wxTueOixcNoGIzE8u2ZfwswdQeSDpu4gYnEVu9r7EY+rUFVVXABiNNjNGDn/s60vy0zbmNGFk+8lUGanD8UjFB7usK4OeMXyPKdn7HkxCy4s8uPMywuRpRhoDmW6gxE0atdXu+8tok1qeGP2voOqAOuwZzvQLRYHpNz2hKNxfLSneDPTgsId5TZUcaYlpAx50kc4bUm0TQoXbSfVlYtJGKciEuRjshRXMgxX4nEV/3h7OwDgGydOFSKOfi1N/K55nzHgdTt+zRVtoteNiiycf6FoTKwYG6yiuMUAd9qWe42ibZm2+si86qlZi0fgE975PKflFRNhMlgMCjta+5KunOT9M6/bBUXRRdvBzLSVzQEk2uYPEm2HIdFYXDT4Vi6cZ1bvxff+/SHOuGcpXlzbONi7RwwzuKgQV5mYMRCJieWkEXLaZozsmsneaWv83PM9U2sWaUtNpBtqyNeICr8nb50/3vnnMT18AFDqTtvNTXpxMLuCHp/A8sTtnYul6LQFgBXb2wq0J+nhx2mZz23IHabl5wx5AoEfX8bjjCZpZfZqou242jIRd+KUaCuLd+S0zT+qqg7KMuWlm1uwo60fNWVeXHDUBHG/yNhOkWlrFG0dikcQhcjcKBPxCPa33dSlC1XD0WkbMDtt+QR6JIZQNCbMVfznhLoyAIPntKVrW/7p7A/jjHuX4it/fc/y/yJWzBSbJeIRBqH/3ENO20GBRNthiLzc2WpAxwPNuwYiuPLhD/CbFzcM2r4Rww9ZEOzojxhmcaM0iMuYoCkeIZsiI2aRJt+d5aBpgEDxCKl5cW0jrn10Vd6+F3n5YoVfzqJz9nvhHb3+cAzRWFwMAPgA01+ihci2NPeI3+0e63wCyxMfHKdt0Yi2psFnMefaygKFoiiGYmSEMR+dH/fy8U9OWyPcaTu+tgzVDou2BqctXW/zznf//SGOueNVNPfkdwXj1hZWG+LEA0aJ6zYAPfYgmlh4Ti6gyK+5zhcic0kikv1rEp+4AID+4VSIjE8AJjht9YnsH/3nY5xw1xK8v6NdrNyZrBUgzedEt9XkG5E/9ncFEY7GsbWl13I8FzH1mzmFKEQGkGibT0i0HYb0SiKZ1YCOn+Dja9mM3f1vbh20YkTE8EOeRGjvC6NbFm21uATCPkFTgZGeLM5ds8iQ71xbctpmxl+XbsV/P9qPFz7an5ft8/be53bB73FLTltnrwPyBE1vKCoGANztE9B+mkX9oY7stLV7rEeF09beZ6E7bbMTeSKx4hJtDx1bDQD4YGeHyPctJuJxVewrP2658yVC7RkAUyGyiJXTlj4nmX1alidz2rLzuduhOhTy515qk2LFyKqdHegNRbFhf0/6B+eAHmvkMdwvCzpmR/uAJBAKp61jmbaaaGvoR9i/nvMiZMDgFcUtFHe/sgkn3LUEzd1BBLXPqNxnLdoOhGN4fWMzonEVf3lzq4hHmDyyAkCenbZSGxRXUZTX41KCn59x1ToPWsSKuY21DvikzWAWIgNItM0nJNoOQ+QGtycYSRDF+MB8/uzx8LgUqCoVLCPyhywEdfaHE0QGqrydGeYZ9mwiEsyz504XoDJj7mBSpm1q+KBnzZ7OvGyfT+ZV+NkAIV8z9vKkYU9QF235ALNU4xE2NWcej8AFLU/M3rkonLaOxCMUPtN25vhq1JR50R+O4ZM8Cx/ZIE8s8OOWD6LIacuwKmAjt/3k2tKJx1U0dnHRNuB8PIJciKzEJsVyYdWuDnz27jexdFOLo9vlzsmO/vwKGlzY5JN2HL+csZ2khkDA65acts4cE/K2s+lH7O/Sncl94WhJmzie/2gf9nYOYOWODiHUBUxOW/79bGvpQ2c/awte29AsxO2JmtM2n+55s9mLrm/5JSidL1aT8Lxv6E0Sj9A/COcNOW0HBxJthyG8+AvABmNmwaRfqlpZ4fckPIcgnER2cXb0RxI6BFESbTPCPABrSxJenwqz4ynfDgdzB5OWa6aGd5LzVZRJF21Z+1+eRQERO8gdve5gJCGbiw80S80JtqUp83gE3g56bTttmciTdTxCkTht+WsHvG5MGMFW/2RbYDGfyMcoH2inypEcjsjXeqtMW7rW67T2hRCOxeFSgNHVumjb7ZRoKx2vpTYplgt/eG0zNjf34tk1+xzdLl/az4W2fNFjunZz5LxLc5GqATkewelCZFF929n0I+R4hLhaen0BmTZN7GrpCerj8CTxCB/s6hD3qSr7bABgonaNzOfnlCDa0vUtr8iZtN0Dif25ZJm2fJIkruZ/9aJ8TLSRaJs3SLQdhphds92mmZsBaVlGpRBtqVM31HlpXSM+d+9SrN/XXehdMWDItO0LJxyftGQyM8ydtdZsnLbaZ84rD+dftKV4hEzgA+4Njd15EbjNbp28ZdoGTU5bUzZXwOF8vWKgJxjBPsk9ZHfAw5cg2i1Exp22Q70QGXcE+twu4SQpxoJVXPjyuhXRbur7WzrHby7IKzZ4u2U4zkroPM+V3e1MrBpdHYDX7XLcaStPypSyEJYJzT1BvLW5FYCz4mpEymvPt2ibzGnrcilJnf9BydXpeCEyadtlXt6PsH9N2i+JtkD+V30VimgsLo6N1t6w+NwS4hF87PvZoq3WmagVHgOAUZU+8b3n1WkbJNF2MDGItpZOW9YfMmfalkuCf74jEoxO2+KbVC8VSLQdhpjzKc2DOn5BrfB5xAWg1LOEhgOPrdiFDY09eH1jc6F3xUCvwWkbTugQUDxCZphdFNm40iJR9pnXlnG3HmXaFhP884nE1LwsFefnYKXJaet4pq20gqNrIJLQ+RSibQk5wbZI0QiA/WM9kmmmbSC3TNtQkcUjeD0uPSO2CEVQObuRQ05bI9bxCKVZiGxf5wBas1jlwnl29V4AwGHjWJazEG0dEv2oEFkiz67eJ/qbXQPOucXkyc7BikcwO20BqRiZqb81YBBtrR+TLUERj+DKKtOW5zpzSrUYWYd0Xrf0hITIVmYSbeXrCwBcfvxUTK9nObajqwN5K966q61ftBNmpy311/OLfL5YrbRIFo/gcet9pv4896HlfmZHH63Mzhck2g5DzFEHiaKtHI/gtnwMMfTYpBW/GYxQ8kwwOG37IwkzicXoqipmnMi05Z2AERU+AM6LdWbMg0YSOVIjf15rdnc6vv1k8Qj5zLSVc7B00ZbHIxRXm5ULm82irc3BVTSudcxhrz2sEqtkssszKxanrbz0z+tRCr4/yRDihDTI9hWxM7gQGAqRWcQjhEvkc+oPR3HGPUsx70/Lsnp+Z38YT7y/BwDw9ROmAoDzTlsqRJbAog/3it+ddMTKfe7OPIu25mu3jJhESnDasr/LvG74vQ7HI2jXbr9HH09mJNp2GZ222cb9FDuyuaKlNyRENnOmrVnEnTmuGt88cRoA4ICGypRO6adX7cGX//puxpFpH+3pxMm/fR0/+s/HACjTdrAJpnHahoVoqyT8r0xEkuTvvFFV1RSPQE7bfJHYqhMlj1mANTsbB6RlGZUB1lEsZadtLK7i+Y/341OTajFhRHmhdycv9AQjIhvKaeElVwyZtn1h9Fb7Df/nYgVhD94B97gURONqVpm2fEA3ojy3XEy7JMYjFNcxWmzIn1c+ipGZl1jqyxodFm2la498nHKxSxQiKyERnztt3S4Fsbhqe8DD8z49qr3Hc6dtXGXXdB5xYZdiybSVi9NxJ0kxTurI2Y0cXSSh9gww9iN5Gy+3ZaVShbyxK4jeUBS9IVZc0bxsNR2PLN+FgUgMh4ytxvHTRwIAqp0uRCZdY0tpUixbNjb2YJ0UHdbhoGgrL+nvdOj7S/paWn+6ytJpa91+Bi0zbZ2PR3ApTFSy24/oCUbEeLW+yo+WnlDeDQSFol0yV7T0hDBJKyhmjkcwi7iHjKvGsVPrMK42gJnja8Rkg9VEzMJ3dmDNni68u60NXzhinO1929rC+iwf72U1FBKctjTpk1cGDE7b5Jm2ZqctwI6froFIXsf9/eEY5AWxVIgsf5DTdhiSGI9g7ETITttKbWa0VGc3AWDZllZ8798f4ufPrCv0ruQN7rIFjPk4xYDRaZuYaRt10H0TjMSwbl9XSVeg5eLBmJoAAKA1iwsoF2xqy5nTdvALkVEnMBmqqhoGXZkUI4vFVSz+cK+huIcVvSbRljtknJ6tl68rcvZyYiGy4mqzcmGzVoTsgIZKABkUIuPxCIq9tqvM6xbZqtmslAkblq0XMB5Ba4v8nqGRaSsvX9VF5uLb30Ign+9WhciK0UGdDfL5lum1MxSN4aF3dgAAvn3SVCia0OW0aGt02pZO+5otT3/InM2Hj68BwOIRnOon9puK7eYTO05b8zWHf/9l+YhH0I6zMp9bKkRm75zYr2W/15R5UV/JzBylOhaVize19oYM34mMLNpOqitHdcALRVFwykENGFXpTym6t/SwifFMv1uuCTR1s+8jIdO2RNrtYsVYiCx5PILV5GBZnlbJyZjPyc6BCMUa5gkSbYch6eIR9EJkHqkQWWleKAGI3LEdbX0F3pP8sUmqVp7PZRLZ0GdYOhZJmERwsqL0L/67Hmf/4W28vaXVsW0WG7yzN75Wq7SehdNWxCOUc6d95hf8eFzFE+/vxq62/rSPlZfnATRznwqzoL21pdd2bumbm5rxg8dX4xfPpZ6g4hnGfODHO359eSxExgctXrcClyY2lmIhMj6Bdtg4Jg5kXIgscQWcJYqiiOt3dqJtcYhp8oBkSGTaemXR1rrwz3DFWIgsbvgJlE48gny+Zdp3fmb1PrT0hDC62m9ww+WzEFkpta/Z8tLaRgDA5cdPAcAmhpwSOmRjwuDFI7gT/qcLenYKkeV+TMTj+gRzwCNl2kZitgTxfdrk8tiagLiW2flOOvrC+OOSzWknp4sJuZ/e2hsSfa0y0woZWcTledcyASnTVv6MVVVFi/YamV6PuCbQE4yiPxxNjEeg9iOvpC9EpkdImdEnSvIn2vLxB3f3q2piO/fXpVvxlze35m0fhgsk2g5DzA2uuRHgHYxyn1sM2ktZtOUXHD4LWYpsbNRF23zNuL28rhFzfvUq3tmqC6I9wQg+SrN8u1/OtewPJxxrTi6Z3NHKhPltLaUr0HMBdPwILtpmNkiIxuJiqcuIHJy2L6zdjx8+9RFuSyMQAnqhKT4wpXiE5MiDqfoqP1RVX7aWjr0dbBDT1J26rdPjEViHj1ehdbLjF47GDe+lVWt/5Y4ndy3G4mpRCnWZ0heKioEkH3DZL0SWmWgLIKdJ16KLR3C7hAhajMeCXHCH49OO3wgNagEYJ//4xFyoSCYHnESeRMu02v1/P9oPALj001MMzil+bbRyWmWDoRAZOW3FpOGsibXiGuRUlIGhEFmelw6bo41kfEkEWUMhMgdz5INSPy7gdYvJX1W1d93jTttxtWUoz2DV5xPv78b/vbwJf1u6LZvdHhT2dQ7g/je2isKC8pLySExFo5bla3balvn0NsFKtPVL1x/5Gt7Zrxd6zVRklft9Td0hEm0HmbTxCNr3ahmPkKdoMxk+SVlT7kWtZvSRj+eeYAS/emED7vrfBoM+QGQOibbDELPrJmkhMq9bXPhLOdOWX9i6g9GSXSZmcNrm6T0u2dCMpu4QXt/QLO678ck1OPePy7ByR3vS58kdgE6LeAQnl8LyY7uUJyH4MTyBO20zHCTInzcvRJbpwBMA3tzYAgCGCtrbW/tw/ROrsaW5x/BY3oGvLvMY/iYS4R1kRQGOnjwCgP2IBJ53lk58FfEIAV6IjHf8nDtvzNcUXrxAFirkAUgptM272pnrfES5V8SX2C5EFmbfnTcD0bZK+/7MyxntYHTaFs4BydsCr1vKtC1Ccc/KaesrYpG5EPQYCpGxz0v+Lksl0zbbeARVVUVhyZMOGGX4Hxdte0JRR5aeytfYUsoMz5agVMuDCw9OCayG6u9BZ74/K+Jx3R1sGY+QJBNcn3CS4hEcOCbkXNWA123IVbcjInGn7bjagHg//TbOJ97ndGqCIx/8dek2/PrFDfj3yl0AEvvpvK8gi7SAMX6Hr9aR8Uv9J/k7bJH64ZmKrP0RWbQNiv4hF5Qpsz2/GERbq0JkvI+UMh4hf2Nefr2r9HtQpxl95ONZnqy9++VNJR1PmG9ItB2G8E7kqEp2cskdzFhcFQ19uc89LOIR5EFzaxZLyYcCxniE/Fxg+XIe2bG8WVsKzAU8K+TOG5thDhr+72QHl3fMs1kuPFTgAzDutO3oD2c0GJY7dHohssyOGVVV8c7WNgDG7/fJ93fj6VV78diK3YbHC9E24DX8TSTCxQ6f24VZE2sB2Hfa8qW1/ZHUx785F688i6rP6TBfU7gj3CDaemTRdugfE1wEMGTP2S1ENsDaVY9iX7Xloq3d+AyZYolHMBQi0z6zSIEyYlN9Dvz49EuD6mTV2ouFNzY242sPLsfu9vQRNk4gC5j8e5VdnsWYVZwN8sA6k2vnzrZ+dA1E4HO7cPAYo4uOi7ZAduezGcq01YnE4uLYk0Vbp6IozJPeTm031etYOW152xSOxrF2bxcefGsbYnFVGDnKDPEIDjhtte163QrcLnbjbaKdyYx9nWwsMLamDBUZRDTx/r3da2sh4E7E7dqqP/OKOL4aiheB5QR8qeMRfG4XeBdBPq+bpdVV2cYjsP0KikngOs3UQU7b/OJIPILDbfw/3t6OJ1aycRzvy1cHvOKYkJ228mu/v7MDb25KrgcQqSHRdhjCT7CxNUzUkTuA8slV7vPo8QglLHLJF7BSjEho7Q0Zivzka5kEnwFvNVVBBYD3dyZ32ppnAHd3GAeQkbhzHYJ+kc1UvDPwucIHwWNqyqAobClaJsUv5POBDxQzddrvbOsXy8Dl4413ps0dbz5A4MVWaLlmcrig7fe4MFZza9p1BPHlnv1phASer8a///I8FDMwT5y09yeKtoqilFQxMv4eR1T49KWqNt9XJKiJtm77oq3ItM1i0rVYlq2HiyTT9pnVe3HIT1/Efz/aZ/l/UTjGJ2faWjvbioXHV+7G21ta8donTXl/LVkcAvTjS77eFKu4nSndWTpt12hRUoeMq04oKuN165mgToh+JNrqyNe1gNeN2jImPHQ6VDTMbJToyFOuLR/beVyKYcKTI8cj/PSZtbj9+U+wdFOLuAYFvC5HM22tijNmIiLt70p02to5n4RoW8QTvfyz4f3k9iR9OPl6AkAUZBtfW4aG6kDC4+U+k/z+W3p1M0zGTltpjLazrV/UGRmpGb/IZJFf5PbZKh4hIia2E/uG+ShE1twdxC/+ux43L/oYoWhMjKcrAx5r0db02ne/Qm7bbCHRdhjCL2h8wC87nnjjrCjsAs6dOtksjx4qGJaQlKBoK7tsgfzFI/BjhLuVB8IxIRas3t2ZdKDNl07os8PGx0UddN/w917KznF+ga/wuaWlKvaPa3nWNpOOsswyKbdIPt54x8Hs4uCdy+pAccYjdPVHDLnQhYR/Vn6vWyzFtntO80Foqg6cqqrY3Mwc8jMaKgHobg8nl1iZz0HehzO7BUqpGBkX1+vKfbrryaZQFQuxc9jrykC01ZzrWcUjGDJtC9fBNjhtCxg38MHODkTjKh55b5fl/3l+Y0ASS3xFHOcA6JNng7E83tyHjMZVRGNxg7BQDDESsbiKe17ZhB8v+jjrgWWPwWlr/9zjMTezJiQuewb0SbT2vjC+88/38YPHPsx6H+X2NJO2tScYwfcf+xAn/+Z1NPcE0z9hCMD7TC6FTYaKeASHxFXzse+UGJzwOtIKGcViRQYX88LROLZq1/iNTT1Gp62DxWCDUl+FU+Gzn7Ep4hFqyjJ6HncjFmu7C+h9tj2aSYX30eur/IbHmTNtJ9aV4x+XH42/X3500m3rfSaHnLbSsbCtpVf8ztujYp2ULBXSOW3592mZaZsH0XantjInFlfR3B0yxCNwIV8WbXnfaES5F+U+Nz7a00Vu2ywh0XYYwjsQXLSVHU8DUp6toijiQlnKTlv5wtZSgvEIXGwap33f+cq24RcFLtrKURPBSBzr9nUnPEd23zSYOiu8gxl10GnLj+9SPp7lfDJ+Ac2kGJkskgjRNsNjhkcjAMZZ1gFtWb55kKhn2rJOIB/QFwtXPfIBzrx3Kba3Fr6AHW+v/B6X6NDbjQ7gGW8DkRjiSWJHmrROmNulYOqoCgD5qUDbG9IyWk3OUZ/HOEgJOFgYpdBwx/uICq/ktLVZiCzIzmGPRcc8GTkVIpPO0VhcTXq85Bu+H/4CZ9ry/Vixo92yArzc7nIKHeeQjiAXbQfh3LKa+AvH4qZM28J+TsFIDNc8sgq/f20zHl2+C1uzLFiabaYtz7OdNaHW8v9cJFn04V68vL4Ji1fvM7h6MyGUhdN2S3MPvvinZXhm9T7sau/H8m3JV1ANJXjftdzHxE6n4xHM102r9sMJeBSHVTQCoDttm3uC4rjZ1tJrEFcdjUfgE1lSNn0mGZt8ZVBdhS+jotj8McW8Yotf9/d1BhGPq0LkOnhMleFx5SanLQB85uDRCfEpMvrqJGtDUuaFyPTPfIsm2lb6PeJaV8zieClgyMS2aJNSi7bsvBlwcNwvxynJGcdVAY8oXm0QbbX9r6/y4/RDRgPQoxOJzCDRdhjCBauxtYnxCNz1yC8UvBBNKTsTw8PEaXvkpFoAecy01Y6R9r4wm4EzfZbvWxQjk2cQx2vHI4c3/k4N5FRVF4izWS48VJA7yiMrmBCeSVZzRHQAFKkQof1jJh5X8a4s2koCoXDamjrTIh4hoOf2FVNHcGcb66Ts7Rgo8J4Y4xGEo8Ku03bAOmdKhrcXU0aWCzdoBc+0dXAQxIUNXpCLY14WbOUaGarwjuyIcl/Gy1CjIU20tVj2moxqhzJtAWdjajIhIsUjeAsYj8C/p1hcxRKp2CYnGEkUKHSnbXEeu7wNGAwXO+93VkmCUjgaN5zXhWzzQ9EYLvvHCry4rlHcl22/19intreNaCyOtfs0p+1Ea6ctvz4+tlLPhO/K0rUZlj53O5N+W5p7Me9P72CbJGQ3dZeG05b3ifm1pracxyM45LQ19Z8yiavK7HV0x5sV/Nq6pVkXTLa39iXJtHUwHsFrEY9gYxwSEX0dt94HsSE+8b5FMfUhzQSlQoz7u4PimDhotFG0DXgTRdt0WPWZcipEJn1X/Pyv9Hv0zHZy2uYVYyGyaMLqCj4pbO47A7pT20mn7e52fRzU2B3UnbZSPEKbRaZtmdctNKV8xTSWOiTaDjNUVZUybS2ctpoTjs/ODIdCZKUu2nKn7ZFa0aJ8xSPwRjiusqU+ZqHwg50dCc/hnUyXomcsc7jbwSmnbTgWF0XNnHba/un1LXjwrW2ObjNbeEfZ78nSaSuJJLyDncn5v6GxB+19YcMyd95B1eMRrJ22PI4FKK48Mu40LgbhMCQNZLhAZPeclp1DyTpNXLQ9UBo8lPGliRkWpEuFOVud4zfHI3gycxMXM3y5bV2FT1qqau8zjYbZdzdoTlvTgLdQEQmy899XQOeq3E94eV1iBqyVQCH2t0gLbHEBZDDaWlGspMwLtxbxEYrGi6bg3Svrm7B8ezsq/R7haLVTqd4KuU9ttxDZ5mbmeKz0ezBtVKXlY6otliNnu4RfPr/TOW0jsTiuf2I1ekNRzJ5Ui/M/NQEAsL+rRERbMe5h5y7//p0SVwdMhT/z5bTlxx0XOM3wSVhZtN3W0meYcOKPcUK0DYnVB5LTNgMRSTgIPdKqTxvnE580KaY+pBlZiFurFZJVFGO/C0jMtLWDVaatIR4hB9GW/17hdxviNoj8IbfPsbiacO5EbMQjOGnWkuvONHbphemqA14x5uywEG0DXrc4//OlQ5Q6Q0q0Xbp0Kc455xyMGzcOiqJg8eLFhd6lIUcoqldJHaOFmMvLq/RlQprTNgun3VCjlEVbVVWxSVuGcOTEEQDYADIfgyPZUdLaExaf5Uht5u39nR0JM4Qig8vnwYgK3WXp97hEZ8WpAa980XJyEqKjL4zfvrQRv3rhk4Iv4VZV1bBMl7uXt7bYX4rCzwev2yXO/3A0bvuYeUfLsz1u+khxH29XBoTT1rgt/rmV+z3waAP6YnJJcLGyGDqn3FXr98rxCJll2gLJO3F82dIB0uChXFoG51RsRa8pW51jdgv4SzAeobbcZygKY4eIFifh8dgfxFUKp21u8QiA7noabOSlf4UsRCZP2Ly5qSXheLQSbXn0RzG0G1bwa8VgTEb1SUu3ZVGhWERb7iD7/OFjMEWLhbFTqd6KbOIRPtKKkB0+vgauJLnVXEyU6cxiCb+qqobPPV0bdN+SLfhoTxdqyry4/+KjRNX6xhIRbXn/hF9PR5Q7W4jMXLdhMDJtreDn3TYp5qmtLyyO1zKfW1xvHYlHSFWILM25FY+rou/P6itoYm8GhciKqQ9pJih9vvzcry3zYrSpP1SehdPWSng3OG0z/Fys+l6VAS+JtoOEWeA059qKiW2LIrX5yLTdZYpH6NH6ppV+D+q01Z1tFoXIynxusT+l0J8vBENKtO3r68OsWbPwpz/9qdC7MmSRO5Dc4SQv5eqXTi4AhkzLQmXa5ZtkF7ZSoDsYFQLlwWN1ESbVLNf6fd1YrWWr2UVVVcMAp7U3JETbUw5qgNetoKUnZFhWAciztnoWDgBUBbzwuljzFHPouJPfczbLhZPBHcVxNfOCXU4jH8sBrwuzNHd1Jt+nsaOsd/7tuizf28aiEU6aMUp3goa505Z9PkFzITJtvwOSm65YXBLhqJ67WAzFsPi+yPEIdlyowUjMsP/Jcoo3Cqet7vaS3R5ORSTwdqm2zGvIbUuIRyglpy0vRFbhNRQis1NMKBrRMoAzEW0dyrQFChePEJKctlwEDRUwHgFg15JlW1oN/xe5kIZCZMWd+SectoMRjxDSXYA+KTdTfu1CZtryCJxJdeWoyCB30wpDPILNbazezdx2RySJRgCMoi1vM7NxbUbjKuRuVaoB9JrdnfjT61sAAL+cNxNjagIi0qaxxOIR+HVOz7R1xhHL+7m8boPZHb10Uwu++rf3cs7M58dasniEdCJbwOO2dGlmix7VJYu29oqaym0mW/Vl71omOxGLYWVUMgbC+vtbo537Iyv9qK80FSLLwmlrVQcgl0xbK8Gvyu8Rk6jF0C/OF0s2NOHnz6wtqDBtnuAwT8LLEVJm+Co5J4vJ7zGItnohsqqARxS/bu+Ta9rok2IBb27X1uHOkBJtzzrrLNx+++2YP39+oXdlyCI6zj636ADKS9QGkjhtVdXZPMNiopSdtjy0POB1ocrvEcsSk81yx+IqvvK39/Dlv76bkQAZisYN4mprb0gI4BPryjBzPBuIrDTl2vLXKPe7RY4YwBp/j8OVwvtNTttsqy6bkQPXCx0jIne0A143PjWJuas3NPbYvkgaq7XrImqvzedz0e+ICTV6CH4ktdM2lKdCGGZW7mjP+ByXz5ViGATwz8rn0V0xwWgs7fFsLqpi1RFXVVUsnZSX6fk9rrRtR6bIOVhyLIbPbe20LYbPPlfkTFt+XqmqvdUEEe3883itB+RWVGkZmPyz/uV/1+OC+99J+1nG4yqipsmygscjuF1SYS9nrgmZXOP4fvDq3uaIBDEwkQbZXo92DSvSQS1vlwezEFmF7LQ1xSMUUtze1c4Es0kjKyRhafCdtsmKkAG6aDthRBlOOmAUgOxcm2YBIpXo8vB7OxGLqzj78LE4d9Y4AHoOeak4bfl5wMc9tdrn7JQjlve9xmkrn8zb/dtb2/DO1ja8uLYx4bmZ0JvGaWsl6siU+dyOxiMEreIRtM84nYvdLNry95TunJSjz4rZASrXIeDnfl2FD6Oq9HGQohgnAe1i/g6DkZih/5dpO2v1mRsybYt0UtIJ7nllMxa+uxNvbW4p2D4EI0ZR1lyMLFUhsgqH4xHCUZbBzDFk2vo9qBPxCBExJpEzbfV4hNI9ZvLJkBJtMyUUCqG7u9twG+7omUcesXQS0C/2+jIh9r+AVx+sF9pFmC/kC05LT8gxMa8Y4J3D2jIfFEURS22SdXy6BiLoGoggGIlnVLzKvD3ZaVtf5cfRk5l4+L4p11Y4bX0ejCjXXSRMtGXNk1PuG/miFYmpjs0OF5Noy50NbpcCr9uFMTUBjK0JIBZX8fGeLlvbMOcj6REp6d9bMBLDHq1Y17T6yoT8Mj7xYxaN+N9+j7OZajKf7O/Gl/7yLq57fHVGz5NnqIthEGBViExV039e5oGiVSduXxerBOtxKZgyskLcL7cdTl0H+LlS6fcaCtAlK0RWEk7b/sRCZIA9QToayUa01dxJQbZS5l/v7cT7OzuwqTF1XIrVIKwQwqOqqgZnuZOFyB5dvguH3/qSbaGEn19nHz4WALDUNIgLitUCkmvcXbyD2nhcleIR8r9/sguQt/EDkZhhcqCQ8QjcaTu5rlwsxc62rTOKtunP7VA0JmoP8NUxVpw5czSm11fglrMPEctQs8m0NV/HUon2fCnsGYeNFvfxaLWm7mBJrMAbMMUjcAOBU5m2vP8jRFvJwauqKj7S+madOTp70xUiMwuABzRUJvzfyUlzUV9BctraFZHkY9QQj5DGPCAvHS9mB6i82oxHFI6s8GFkhR88HaXM64aiWEelpMLstDWP5TLtxw6EjZnPANMQhkMhMn687WjrT/PI5Gxp7hXCfKZEY/pKPz3S0tgupcq0LXM4HmFf5wBkiaSpOyj68lUBr3DahmNxcT93lQekeIR8FUQvdUpatL3zzjtRU1MjbhMnTiz0LhUcMVAOMNclv4Dy5Vz9psZZUeTHlKZoK3dOQtE4ekpInOazq9yhEUiz7E9eatc9YP9zMA9uWnp00XZUpR+HahloO9uMy7/6pONtRIU+w1wpZZvmIx4BcE5glbN7nC5wlil6hpjetM+eVAsA+NBmRII+a8s+/0yKke1o64Oqsqr1oyp9UodBmxQKpS5E5ve48uas3NfJxGQ5RN8O/WFj+1BoZIG7TBoMpVvOaHbaWi2X4kXIpo6qSBBPy/25d/5UVRWTYr3JnLZJRduh3ckLRmLisxtR4TM4iu0MemKaaOv12Rdt5XiExu6geJ1057IsMvLrv1MFITMhFlfFAMHnkTNtc78mLN/ehrgK24Mp/tkdoMWGmCdBUhciK3y7YSYYHdx2TXbjcGHIHFNUiAJzABtANmv9lckjy3Ny2gYjMcP5Y+e62dYbRjSuwutWMM6UaSlz8JhqvHbDKfjczLFikjsrp23MvmjLJ2EnjCgX99VXMWEpGlfR2jf0V6eZY+HkeAQnTBy8/zNBE207+vTvbGdbv7g2d/blJhL3BlOLtuZr6ykH1YvfA14XFEUR7ZejTltpIqvM5rklr7Bg41B78Qg9Q8BpG43FLa9hdRU+uF2KmJApyyLPFkh02jb3ZC/aqqoqxk6TpYn8qoBHxP8UQ784X/BJxd3t2Ym2qqriy399Dxfc/25CH9wO8riVx6uYx+byuWLGvNoxV/j4iY8LG7uC4jpeFfCgzKe7abmhyeC05aJtpHR0lsGkpEXbm2++GV1dXeK2e/fuQu9SweHiWpV2UTcvnzTHI8iPKVmnremCU0oRCXzmvkbrhKYLAZedBZlcYBKdtmGD05aLxmbhX14yOcIcj6CJtk5lKZpn9pwSWOUqmU7mBmWDXISMM1srQPfhrg7L55iR4xEAfQBgJ9OWF3OZVl/J3JnSrKo8Y2w+/nTR1tlMNavXyPR7lyc4iqFzKn9WXre+EsKcE2zGnH1oNdO9mefZjqlK+B8/DrKdvIvG4jj7D2/ja39fDlVV9dl5v0dcYwCLQmQePQJiKMPFFbdLQXXAA5dLySgTLqK9f48vsRhRMvhqmu5gRDgJgfTXcvmayAfZ4QIIauYlsl4Hnav8+mR3MMNfk7vCzZEkcgV2jtjfDNuNnmAk75MUhtiXQY5H0Jd5Go/DQkwMALqbtDrgQW25T1y3srmeJ+vjpEJ2Ktl11tUK0TZzd2ZCPFGS4zMSi2N/FxNtJ44oE/d73S6M0rI3m7qGfn9ZFhUA/bONxBIrtWdDgtNW+s7WSJNGuTpte0N6jQgrZFHH73Hh2Kl6sVjeZ3Q009aiTSy3KdqY+6H8PQUj8ZRGjp4h4LQNJtmvkdo5xSN4AtmKtianrXlMm8n1MxSNi/zraaN00bZymDht+Qojs+HILi09IbT2hhCOxdGcRQY4b5sUBaLNTXTaanVILKI0ytMYtTKF16U5UlsREorGxfHFzRd1FTzXlrVncjvAj2ly2mZHSYu2fr8f1dXVhttwR3baAvpJxhsBvny5zLAMwr7TbihSyqKt2WlrXq5uRu5MZiLamgc3rb0hsSSnvtIvRBnzMdQndTKN8QheMeB1Kh7B/J6dco7LTttCu9HFcjQLp+2qXZ22XCPmpTa8jdjXNZD0OZytWh7q9HrmRtPzi2KGTOxEpy1fRpe/eAT+Gpm2Y/Ly1mIYBOj5v+z74a7qdJ0gc5VxqzZgU5OWZ9uQXLTNdvJuT8cA1u/vxrItbejsj4gVDZX+1Jm2+lK/wn/2uSDn2XJhJpPqy1Ht+PVmINqKeIRQFDukQUc6MUp2bvgL6BaVPxevWy9E5sS+8Ou8XXGUtx9c0DFHklg6bYXIbGx3e4IRfO/fH+LV9cZcXIANrub+9g3M+9Myu28lKwZ7BYG8dFs4bU1tSaEG/1y0nTSSuUlFITKbxTdlzANqO+1lTxqHpBW5LOEPx4zvKxixzkRv7AoirjIxYJSpQNJYzRG830a/oNgxm1XKvG5x7mYTP2HGLNrK3xkvQgXknqGrn2PWYp8cUzCxrhzT63URjvfV5JVOubqMrQuR2Vuxw4VFXbTVt5Hq+iX372JxFdE8X7du/+963PrsuoyeI/fV5DmakZrYNUrLBZXNU5lg7kPza50vi0lEeV8nj9Td9hXDJNOWX7t3Zem03d2ht4/ma4Mdglq0QJlXr0OUSaat0/EI3Gk7o6FS9IW4qF/pN+pKfOwkx8/okzale8zkk5IWbYlERKat5p7h4m0qp20uFaiHAuYBSymJtnqmrdFpm6wBz9ppaxrcbGvpE59rfZVfcumZhSO9MJ45HoE7CM0FcbLFPDjvCTmTVyZ36u3k1+UTK+Fg5vgaeFwKWnpC2GejcEhEypAEgBNmsIIniz/cm/a521q505YNBuTjbSCFSBCSKq/nqxBZSMpvzKQjb3TaFn52WI5HAPROWTonqrmjx9/X/q4B3PnCJ1i+rU132o6uTHg+v1Zk6yZvkXLVdrT1oVdrC1g8gi5EmnP3AmIAUvjPPhc6RZ5toqs4E6etOxPR1q8LjBv265n+aeMRDMUInS0ImQl8PxQF8LgUvRCZA/vCJxXtOj74vsj5y/I1xarojleI8sbXeGtzK55dsw9/eXNrwutsb+1De18YGxp7HIsGssK47/k/t2QXIBcVEuIRClTsjruoJtdp1y1/9m2deeLWTr+Zfw4Ziba8WFYWS255e8OP1XiSYoh8gD6htgwul9EBzIuRNWXhHis29HgE9vkriiI5mXPvJ+qFyNhnNhCJiXNOdtpms3xahh+vdpy2k+rKMbGuXKxo05227Gdczb3vHUpRiCyTeAT+k+9rqskU8/mXT0GxrTeEB9/ejofe2ZGRICc7D3lOKaA7FLnTtixr0dbYh+bxCPz4y0S05WYLn9slJh0A1m/zJbm+lRK8r7G7YyCr/O49UhxbLvEI5T43qsu4yc54jEdMkXYyTmfI8piIiSPKDccuoI8RzCtV5MkbYeQp8KrUocqQEm17e3uxevVqrF69GgCwfft2rF69Grt27Srsjg0h+hKctsZl63qmrX7Rr8jRYVXs8AsYz4spJdG22+y0TdOAZ+u05QMT3iDv1fJDqwIeBLxuydFtctqKSQIPqqQc2+qABx7tAuTUTLm5k+hUPIJciKzQ5whfdiU7KgJet8gUthORwM8HPmv7paMnQlGAd7a2pV0itLXF5LSVjjf584/FVYPwYohH8NoXsjJB3l4m4nqfYRlx4WeH5c9K/pnOiWoefPLv41/v7sQDS7fhor++hzVaQZQDRic6bflEX7Zu8uZuk2grOe94ZxRInmlbDJ99LrRz0VaanMpkgoK3gx6/L80jdeRCouv26aJt2ngEyeXkcTBHNlNC0sBdUfQ4iVyzT8PRuJigtOvg5vtS7nOLwZH8XH2VQ6LT1vzZ8WPfaqDfKE2sOZVDZ4XcHg+Gw1V2AfI23hyPUKjs32RO22wGulyA5aJfXzi9Y1GPR7Av2vJ2JJt4BMsJCIs2SOTZ1pUn/I8P2PfbmAgudszxCICca5ubkBqTCv6Nrg6I9rhrIIJoLI51+5xz2srXVCv8XqNo63W7MEn7bvm1yFggM7fzUa+xkOi0TVuIjAtRHvZ5KYoixqKpJkLME0H5bNtk92UmrvygdLyNl4TQkSbRNtt4BHPxVj6mHa9FnGQiZAuXpM9tEOmq/B74s4z/GUrwa1I4Gk/IBrbDHtlpm0GdGA7XZAJet2ivuwciUFUVr29sRntfWB+zWcUjaIVro3HVke+JO4cn1pVhtHQ8+KQi0mbNSD6GAtLqSyJzhpRo+/7772P27NmYPXs2AOD666/H7Nmz8bOf/azAezZ0kHMEAb2TqBciS+y8DBen7QTtgtbSWzqirXDalvN4hNSh5B1Zirb8wiIvnwFYNAKgTw6Eo3GDQNEvcu7cBndDZcADr0uLRyj2QmS9UjxCoUVbiwwxAJit5Q99uKsz7Tb4ciAu2o6vLcPJB7CCFY+vTJ4LrqqqyLTly+748dYfjiVkKlktLfZLF37nM2317783g1nefuk7TdfZXbalNeuCBXYxO23NlYKTYT6feVsvH78A63xNGZk4SM81HqGlRx/c72jtF5MmVQGPQTxIHo8wtDt5PPu6TsruziQTjsfEeDMQbRVFEd/beoPT1r7LySuExwI4bU1LZJ3alzapeJLtTFtpsoSLEAMWblXZHeXzWLuU+SDGagJEFsH683g9GUgRV5MPesW1PrEQmbyqxonCT5nC854nawIWNy30ZSXasvfJBY5YXE37+cptoV1yKUTG96cy4BHLs62ut3u0a9kEKc+WM6aG3ddYAk7bAVMBZgCoLeOieG5CqnyeVfo9wkDR0R/GpqZeBCNx8R3knGmbrhCZdG2dqB3rfFUUb7cMom2O11yrlV96n9B+RA+nwkY+p9kYks+2zSDaZtCnlGtPyOeWyLTVfmYfj2CcDOai7YRa9p1nE49Q7nMbRLrKYRKPIF+7s8m1lccDuThty7xuVPN4hGAEr29sxtcXrMTXHlyuj59SxCMAzrht9WtCOUZX65E51dK1ixs8hGgrvQennb/DjSEl2p5yyimi+rR8e+ihhwq9a0MGEY+gXdT5idY7jOMR+AVnvFYdt5SctuZM23TxCJ1ZxiPwwc2EEeWGjKZR2oyx3ImUHa6y0xbQc9qqAl64HV6Wa16O4dTxbIxHKBLR1mPs7M2exIqRrbLhtI2YhBIA+PIxEwEAT36wJ6nzubknhN5QFG6XIhxLen5RLOEizQcEqqpKyzXdeY9HADL7nuw6bbc09+DiB5fj2n9/mN0O2kSIRzzT1ubMNV9Gq3ea2GfAz/Mr507HFSdPw+3zZgp3pUxlILfrgOxS2NbaJz7XhEzbhEJkqYsnDhW4s3NEhRwFYT+/mZ+XnoA/zSON8M9WbvPTrTIQDlePC74CxiOYo1q4wzXXQaJ8jc9UtPV5XAhYFPQMSm0Yh1fXNg+S+WtafQ/ycvNsREO7GEXbwYhHkAuR8XgEPR6JUwhHt3DaakIWz89MJZp39odx6T9W4OlVewz3cyGaxwcA9iveZxKPUKOJit3BSMYxGlaZ1Vbtq3DaWoq2rB1qLAGnLW8bA7JoW66LqzltW/vuFYW1Y3LsAo9GOHx8DQAm5uVynZOL/Vkhr8DiExRTteJSvM+oKIq4BicrmGUXq8gY25m2or2V66vYcdoOXk62LMhl4hyUl4tPGKFPkPN4hBNmjMKIci9OObA+q/1KdNqyczQbpy0Xo8t8boNIJ0++larTVlVVw/Uom1zb3VI8gjmizA7yZLCIRxiI4u3NbQDYZPxWzSxj5bT1eaRYkTTF/9LRF4qKGi4T64zxCPK1SzhttXNcdpaX+eyNVwhrhpRoS+ROYiEyLR4hxOMREt0i4kJZ4CJL+YKLR3yZSimJtnzmvkYTQ9PlyciibSYZTbxjWl3mMTjJ+DIft0sRAzO5U9UnOW0B3Z0yssIHr3ahcSrXLx+FyFRVNRQiK/Q5YpUhBrBcWwDY2NiT1slkjkcAgNMOGY1RlT609ITw+sYWy+fxaISJI8qEGCULhObPnwtDcgeSFSLLTzyCvPwzE+FxwGamLXcZN+a5MEvI5EApE/EBaURbbfDJc8l4h4qf54eMrcLNnz8EFx490fL5dgZMqZDbVXlJKMu0TRWPkHkhslA0hpU72gvi2kuGXIiMw4V3W05brR30ZijaWglBaeMRDJm2hYtHMLutnHLatkqraeyIJLG4Kj5/v8cljkk+8IhJSw8D0vGbTGTmbWFvOJqQkyc7bfM5CThgczLKKfqkVV5mp62caT3YkwOxuCpyB/XJxvRO25fXN2HpppaEXGLer6gp8+rZfulEWxGPYD+vWi6Il6kYoE/86ctVra5tumhrFY+gOW1LQLQVuZF5iEfg53qFzwNFUUT739kfxkeaaHv89FHCbZ6Ls7c3jWhryLTVjvWDxrDorDqr2J5cnbaiwGxiYWv7oq0k+GrvK1UUQa+pVkU+J6RkES8T5yB/bMDrFkIqoLvnDxlbjVU//SwuP2FqVvtl7kOLeASt75dNpm2Z142RlX5xnFYZMm1LU7Q193myWUUnxyNk5bQN65PBIh4hGMEHFgYcq0JkgHPFyPh7qSnzoqbMi9HSxKR87eLnuNlpG/DpmbaRmFqwOKShDIm2wwy54yz/FPEIEb2DwdErAZamaMsHVCIeoYRE264BfQABIO0sl+wqyGQg0Cd1TOUqw/XS7+b8ZPPzAOBHZx2M/3fmQZh7UL3jWYrm9+yEaNsXjhk6LJksu88HVtV6AZY/pCjsot3am9o5Ipy2Uqi9z+PC+Z+aAABY9OEey+dtFdEIehErvh/9pkxbQBdLZHHWEI/gdKatE07bFPvEP9d8L/sRRdu0z9bsqkgGP5951e8Bk2hbnUYwqMxx8k6OndmuFaxjTi+3MR7B7LRNISok49Zn1+FLf3kXz67Zl9W+5gPetsqDYz6ItpVpq4l7nrLsnLYy6dopEUvgdols8UIWIuPHBP+Z6zXB4LS1cb7KbbzP4xIDD70N07cht73eJIPaoFhlkFjsyuC0HSTRVp7QenzlLnzv3x86Lnb0WcQjdAeNk7aAHgMyWOzvGkAkpsLrVjBWW/JfbmMZ9tZmNkm5o7XfMLHcLUUd2J3oEsvaM4hH8Lpdok3O1A3Kz2+/wWlrEY/QkTwegV9HGruDRTU5lg1WKwxry7PPDJbpk5yKgC7MdfRHsHo3m7w8cmKNVFguu9dTVdWwesUK+do6URPiz5k1Fj/9wqH4f2ceJP7nVB8sdTyCvUxbecl3JReDUpyX5n794MUjZJ5pG/C6xLk1otxrWOGkyEsWMyQgXZ9UVRV9L+G0zeAzCUrnhtul4KhJI1AV8GDSyPKMCqkORcx9np0ZiraxuIp9nVKmbQZGKI5VPEJLTwjrNePDqEq9P2lViAxwrhiZKEJWx46jtE5bbXJFZNpKTltg6K+eKwQk2g4zzE7bSlOBKO6YLLdw2hY6rzNf8AvY+BLMtO3SOpy1NuMROrKMRxDHjd+NUVWJTlsgMT9Zfh4ftM0cX4NrTp0Bv8fteCEyfuHgS0XMM/LZ0NFn7GAX2mlr1UkGWCd8nDYg3dWeOpfJyuEAAHO1pVqf7O+xfN42zWnLM9IAY2chWaatLKb63K68dQSNhciyzLRNKdqydiMTR2g2JMu0tRuPwAfb/aZ4BN4hTIbItM1yYkIuRMbH+OYVH0CiW8CuKM3pDkbw9Kq9AOxlOA8WHSJfPNFpa+dY762uAwD4Cua0LZxo6zU7bXNsGzKNRzCLtgGTaCsfm8Z4BOvPTm4LzSKDIdM2jxNA/dL7jsRUITz++Y2teHbNPizb0uro6xkzbfmqG3ZOlEkmgcHOR9zVplfD5i4y4bRN4ejbrIm24VjcUCFcdg9X+tNvR35OJvEIgO4G7czQwcWvIVbHMiccjYu82olWTltxHYkl5IgONWQnGEfPns0x01YYE9zadln7v/jDvdjYyHLGj5hQa4hNyIZQNC7O4WTiP3+NcTUBKcPWjW+eOBVTRun9NqdWO4l4BNkta4pnSoal09bGeTmYou3udl2Qy2S5tyzEHTmxFtPqK3D2EWMd2y/5++vsj4hJTuG0zSgega++ZZ/9I9+eg3d+9BlUB7zi+la6Tlvj+8o0HqGpO2iYYM6mEJmct83NDfu72Hbrq/y47dyZ4rHmehAcft7k2p/gUQ/8emDIOJbaHHP9C94OlHnd8Lld0C6zlGubBSTaDjP0DDFTPAIXbS3iEeQTMByN44Yn1uCpD6zddkONaCwObpKYoF3Q2npDji3JLzTJMm2TNZadWRYikx2zsrtWFm15oy6L/+ZMWxmPVJzECXhHie+TEwJrm0m0LbQb3SpDjMPz+njRlWSIqr2mDsCMBuag3dXeb+nCsnLaypm2yeIRZBFSUZT8Zdoa4hHsb9votE3+PC7ahmNxxyYarOCfmy7a2st87RKirSkeQbjxUwsGerZ5dt+L1WQY36bsBvWbJgv4gM+qurkVz67eJz4j7ugtBkQhMinTVnfapj5eQtEY1vlYLvWh46ozel1ZEK8ydaaTIQ+YkwmPg0EooRCZ85m2dtwe/Lx3Key6JHKktaWLfBtetyKEP3m/EzJtw9LqDNN30STHI+Rx5UYwnCjSAfqxsaHRenIuG1RVNVS2558L73f6C3Cc7W7vR0tPSLinJknFF/Ul3Mk//83N+ufDo3EA/T0xp629eAT+2VRn4LQFJNE2U6etnM+cxFXZ2BVEXGXfjezm4gS8bvH6TUO8GJlw2koTLnqMQW6ibZ9J9OJO2+Xb2xFXgfNmj8e42jLJ2Zvd68liZblp0p4zbVQFbp83E/dcdGTKbYnJRIcKkcnjSWEc0VygybASbe0UIusxuRnzJSiGo3Hsk6KwMhGgQlIhsqqAF0tuOAW3zzvcsX2Tvz9eS6C23CsMWLG4anuMyyf3+DHldbtEn6L0nba5xSOYH597ITLj9eFTk2rx+cPH4LzZ43Hs1DrDxItMmTf9eWMH3jbx1WKyaCv34fk5zld0DUjtgKIoekwjOW0zhkTbYUafyWlrdj+KbCef1axJDMu2tuI/q/bg969tGrR9zifyxWZsbRlcChBX9fzBoUwkFhcdRt65lperW9GRpWjbL80GZhKPwJ8nL4/keFyseYrGnekQ8PcsRFsHBNYEp23BRVsugCZ+npNH2hNtrQqRAexzq/J7EIurltvQnba6aFsmzfCaO7XmeAQu1ukdziJx2hoybdM7bYH8dkb0z8t+PEI8rorzeVytHo8Qj6ui7U8Xj6Bnm2fe8YzFVbRpn880qWNpJdqa3QL+DJ22T76/W/yeTbXffGGZaWtzGepHe7oQjsYxqtInCsfYRXZAHKIJvumE93BMn0jR4xEKmGnL4xEcEvbkCQQ7g225MJuiKBZOW82pZ2p3fUkifgakgiCyyNATjBgmNVNlN+aKuY3iwjS/Tm5IsqIiG4IRfXK8wu+WMm110dY7iDEcnf1hnHb3mzjh10uwYNl2APqkJqD3fwcisYTMYYAdM3JWIc9zB4xOW76dtPEIpn65XXhb0tGXvk1+dX0TXlzbCEDKtJXymc2TF7ulaIRkS7X58tj9QzzXdsBCXNQzbXMbC3CnHBccR0jxON86cSr+70uz2OuV5fZ6In7E54bLZf19KYqCrx03GXOmjUy5LafiEeQCsxz+Gatq6u2HpIgeTjaFyPIlKO7tHICsOWcUjxDVhbh8wK9DwWhcTKiMrgoY+vR2xewBU7yHjJiULNFsUvO1qLU3nNHYYbd2jeATuVnFI/BMW587oY9+1OQRUBQFd190JJ644tNJM22dikcIm8aGIyt8wlxVZRGPwFcpyvEIgD4uJNE2c0i0HWbwi12Vn5383IHZpc2gyOIbp1KKR9iouS/a0uRiDhXkC1eZ1y0+j1IQbWXRlQum5Skay2AkZhBGugcilgMWK+S8ulFV1k5bq3gEvszJymnrFfEIzogFfFDSoO2TE5m23GnL31vhRdvETjKHO4nSLfGxKkQGsA7/NM1ty/P89NeNYa+W3TRdikfQC9+lcNqaMloHI9M2k+9JXoqXqqObTUX6bBDOZK8xHiGVY7AnGBUDDO607Q9HWSEk7X7b8QhZCEltfSHEVVZBe/akEfo2LeIREgqRZVAUZUNjN9bs6QLXGHZ3DBRNsQOrTFu7hchW7mgHABw9uS7jrDu5M32YJtradtq6CxuPEDEN3Pm+xNXcClS29ujX94E0ji9AylfU2qYyUySJaHdNA1tvkkGtPHiSr0Nmx2I+nbZW7bGqquI9bdCWbjuB3N5W+DziuOf3+z0u8VkNxuTAno4BhKNxhKNxbGpi1zJZtOWTyKpq7fDf2tJrEGy2WjhtqwOehGWiyeDxApV++4XIACl3Nc0Ee384iqse+QDf/fcq9IejhkmIZJNiep5tYjQCh0ckNA1x0bZfrPiSRFuH4hH49ZKLXmceNhqfmlSL2+fNxC1fOFQIrDXlub1euiJkmeBcPELiZJbc108ldFo6bf26CSAZ/PzjunW+nLbmfnRG8QhhYx/OaWSnrRBtawIGAdyu0MpFQyvR1p9kJUmpwPsfFT59VUEmEQm8DZ2hGVlyddryXGHOp6S+dCqcKkQWMZ2TLpcixtOGQmRSjIncpwgI0dblyP4MR0i0HWaYCx7wfMN9XQOIx1U9e8Qi07YvFMUmTbTtD8dKIkSaX7jcLrasUe8UDO2MLkBfylAd8EhZbcln3PjjuSYQtyiSkgxdfDU5bSXRli/9k2MJdHdAYkfTLZy2zgzidKctO+adEG3b+5hQxwd8BY9HEIXIEpv2yXVMTE3nPuSDZqt8JC7Iys4iANinuQ4qfG6DKKUvhYuiP2JyQJiK+AinbZ7iEeTBd36ctroQFAznrxMrRG7tczIXRbKCdxbliamBcEwUJ5OzDZNRmcPEBBe0R1b4Mb1BF/Xlgpi83UkQbW3GPwDAEytZbM8Zh45GwOvSKsMPpHlW/glK8SBypq3dQmQrtzPR9pipdRm/dqVBtK0BMHTiEZIVIst1f2SnbVxNP4Dl55wvyTmXrN2VM/9kYbg/iWjb2GWMEMllUNPcHUz5GZnPp2Akpgm37O+tLX2OtcH8eCvXXIDmlSA+j0usrBmM44x/5iPKvZg8shwuBTh6in5uBTxu0R5ZTVJtMU1aGp22yQuRrdjeLlYcyPQKd26G8Qhl9uIRdrcPaNW62YqLkDQpoxciM75P3m5aFSHj8PHDkHfamiIMAOQcV8AxF3ee0VCFp68+AV87brLhcbVlub2eeRVlLjjVB5MLbnHcLkW0o6nGWVbmgYokzvWgNPHGTSF1FX5H3kMyEkTbDMaMqcwVTsC3G4rGRTzC6Cq/oVCVXaGV99utIjd8bndG2xpq8GuR1+PC5Dp7phcZnnnMJ8szKe7NCUqiraIoYhztdSuYOb7G1jbkSJJcME+iA2wyADC2OxVSwUB5zMTbAdF/ItE2Y7IWbQcGCj8QIjJDVVWRMcJPKj5THowY83msnLa9wagh58yc5zkUEYMxrRGqcCiwuxgQebbl+gxYWYpMKO4EG1nhE50quzODfHuVfo/IP1MUo6tMdmwDzCnFZ+Cs4hG8eSpE1uBgPEK7tiyRi7aFd9oaZzRlJtt12iaJRwD0XFvZWQTo50tlwGNwApZJkwTmiQJ+MTd3YJ1yeZiRnbZWotUHO9vx4a6OhPvltiBlpq3ktDUL1E5idv3ZETV5RWqWa8Y7VDGRZ5suGgHQKzfnItrWV/kxZaQUj6B19FwuBZVa22ueLJAHIKmIxVUsXs0KkF10zETxOjuKINeWD8TdLsWQW2knCiQeV/H+TnZcHjPFnrNCRhaCDhlbBSD9dxiSBszeJEv8BwN5GTffH/G/XETbHqNwlm6SJWwarCTEI4RTxyMAxslH+VyVv4v9XcZ+dbbXk20tvTjuztfwg8dWJ32MVWFIua2LxdUEcTJb5DxbIPHa4ve44RvEeAS+THXKqAq8dv1crPjJ6ThyYq34v8ulCJHCqq/E82wP1wbNcqZtt6EQme5wWrWrAxc+8C6ue2JNwvbMn49dRtgsXmUslBY1ZtomaV+5aDuxLrnTlmcaNqbJtO0P66v0io1oLC7Ob3m5upwXnIur36q4sxW5xjFkewxZwd3XuUZUJRMn0xVEBqxjukTWtNQu7m7vx6d++Qp+snitITubj0PyJSia80ozGTPK7sl84JdWJwmnbXUAiqJkHGkwYOFC55R6PEI4ys57r9sl2sFMcm15u8vrEPSEorZXr3L0CSX2+fMVcYeNq7Et+osVtjma0cz9IECvYcIn8ACj0U/u6wQoHiFnshZtTzzxxIT7NmzYkNPOEPmlLxzTq3ZrJ5Xfozsj5Q66PPjgA+vuYARbJEeBOc9zKCKy+7TBs93CEYPN7vZ+fP+xD/HRnk7bz+GdPz6DD8iB5ImNJRdta8q8emyGTdFWLijGK5Q2VPkNg2w909aYnwxYL+niWTmRfBUis/EdP7ZiF75w31uiwrQZs9M2ElPzNrNvh5BFtV4Oj0do7Q2nfO/J4hEA/QJtHswHk3RCZWe3+ZgLJnPaOjRgMCN/Lz0WTo2LH1yOrz243KLSe/p4hGAkZthmPquimp22djJt5YKEosMUjkn3px/o8aW7vaFo2uXkZpqTibbSeT9SG2RVmQRkO/EPAItgaO8LQ1GAkw6oF69TDMXI5DxbeVJDOFVSDHo2NvWgJxhFuc+NQ8dWZ/zaldrnOaLci3FaNEYoGk8pjskTN55BFNOS7YdXxCNk7hQy0x+OJrR/6QYPfFWAHkliPOd0p605HsF6f41OW/0aa45H6M+yH7K9tQ9xFdjUlFwoGzC1F6FIPEGgdCrXlouKvF9hLjboc8vxCM4fZ+b2So8w8MLjdhlWB3HKU8TBbNYiFc44dDQAlmfO21KD09anD17X7e0CAKzflxg7IT8nE2p4pm1ap60s2kYME3/JJv32SJm2yeCibUtPatH2xifX4Mx7l2L17s6UjysE8rkvC1OjqwMo97kRjasirz8bRPSChTFBptamAJ8MEY9gsWotU5yYOFdVVbSL5hgAO+YY84QdIIlB0vM+2d+N/nAMr33ShL5wTMQ98XM6X5m2fEzAs4ozEaCsHMhOIs5pOdO2mn0e8uoPO/DvyBz9A+iibSaFzYYSsrN0UhZOWz7xxVc4qWri2CMd/aaxFTdYHDXZ/gS+U/EIQsSWzskfnXUw/vjV2Thr5lhxn7juhWPivPC6FdGP4/FSpWCOG2wybjGee+45/PrXv0Zvby92795t+N9FF13k2I4RztOuLd8NeF0GcWW8VpiGCzFlXmOQfYXkFpAb+pJw2kaNM0d6p6C4RNufLF6LZ1bvwz/f3Wn7ObJQw+GdUisBhHcWR5T7MhZt+eCywu/GjIZK/PQLh+I3F8wyPKZKiP9Rw3NcSuIgDgDc2neSN6dtmniEFdvb8ZPFa7F2bzde/aTJ8jFcjJkguVHSbTefpHLaVge8wvmcTIQGkhciA3TRlmX6JS73LTMNGMQkQSS50zahEFme4hFSFSJr7wsjGGGF+8z/k/9ONgBoNS15HZRMW9Pnleo1ZdGEO8jCsbg4ftPl2QL6dSAWVzMeCHFnY0OVXzi+AeOSql/Om4mbPnewcINy/FJRjVTwYjy1ZV543S5RSXdHERQj48uXR5QbP2c7TlueZ/upSSPgSVJoIhVcDJ9eX2mYHEs1MSk78QqZaWuOR1AUJeeCVTzPNuB1iUmDdBMCyZy2CZm2SeIRzPsrn6vy9YIvM+fndF+Wgxr+uVnlsYp9SGiPE9top3JtW3rZ++ITpgmirSd/jm5VVXHJ31fgtN+9Ib7nHhtxBOUpViVx88LsSSOEGLJNuybKhR3leARevLO1N2TYZiyuiuunecIqHSPK7fXT5IiYbrPTlscjmI4VvrQ3VaZttUVxWSu4E3nVzsSVLIWGn4uKqR/qdimYqYkta/Z0Zb19vU5IajE11zgGPrngbKZt9v2YcEyPWjH3R1Ot+JOfDxj7ofyctOqTNXWHsF+rq+BxKajWJqLznWl74BjWX8lkoj6U50JkstO2sVvre2kTLMIda7sQmTbpYLGv8vlS6IiEdfu68JnfvYH/fbzfsW2KeAS3gvHa5NW+TnurzCOxuFg5M72hQnxWmUYkmJ22E+vYfpwwI3UxQRn+3TlWiEzq14yq9OMLR4wznKdyljt/TUMxQm/mEx0EI+MRwMyZM1FVVYXW1lZcdtllmD59Ok4++WRcdNFF8Hoz63AQgwvPcRtV6Te4fcZpzki+5Nm8DKIqSXEE7jIcyoRMg0K9U1A8jclbm1uwdFMLgMwaXbO7BUg948YfXyuJtnYvMLLTVlEUfPPEqZh7YL3hMXLMhvycCp/HsriOV5s4cGoGl3cQeeclHIsn7ZS29obw3X+vEq+drDAdv7++0i8uRIU8dpI5vjj6bHFyIUt32iZ+J5NHlsPjUtAfjhmWROrLvYyXFPl4s1qOK//k4lzeCpEZRFvjdyQPes1CiSEeIYm41moqzJhp52h3ez9esNnZNH9eZSkmYji8UE1tudfg+OHfYY0d0VYadGa6bFuOR6jwe4R4IxfJOumAelx1yvSEtoALYbG4mlKoa9OuR3xiYuoodqzvSDFBMVi0c9FWiosBJNdLLPl3t3IHj0bIPM8WAE6cMQo/Outg3HruYYaMWjtue5/bJa6NhYhHME+qArrrNhLNbn/kflCZTZeU2fVlHnQkm7RyuxSRjSoPauX2oduiENlUbcIh22x9PrgaSBH7MGDOGDfFIwAwxGHlAhfKufvNnGnr97j0lTUOTw4s396Ot7e0YmtLnxBadGdr8nav3Jfo6gOY4MIF2ANGV0oTmX2ag13Vtm0sRLZTcmjJIqqhSFsaN6aZWlG8Ko3TVopH6A1GRb+HFSLjKxn0zz0WV9GkuWfH1QaQjEpRXDb1ccqPq22tzsRtOIlc2dx87Tl8AhNtP85ghZsZqyJnVoh84ixyLwEp0zbDY8gKJ/pg8vFkjo2xU80+bNH2V1o4beV95E7uyoBHeg/O98dVVRXu9YM10TaVazAUjWHhOzuEe91KyHISQ6atdk0Zw0XbDJ22/BpnNengKyLR9o2NLdjW0ofnHRRt5ZU+I7RJFbtGpv2dQcRVdm2rr/RnbITimFcx/vKLM7HwG8fi1IMabG/DThyJHXghMq+Focfwen553Jc4QcGPpVKoizTY2BZtt2zZAgCYOnUqrr76aixatAhLlizB1q1b8e9//xvf//73sWTJkrztKJE78sBZhlcT5xXhzVUiA14XXIn6Ddp6h77T1jwY05ft6J1QVVUzXg7sFPG4irv+p8eOZNIBscq0LZeWRpvpkNxgPHcx00zbVIMOczyCKE6S5Dkeh503vPPBs66A5K7YG59cg6ZufVIimauci7Z1FT7hcOgJ5Va4IheSOb443OW4047T1sLV53W7RMzC1mZd+BUdC5+5c667HfTle0aR0bz0OG+ZttK5Yxas5MmJAdO532coRJZE5O/J3mmrqiq+/c/3cfUjq/DBzva0jxeiLV+qbcOJ2i257n1ulyhMyEUiO5m2LpcivrtM3eSy0xYApmrRBXby9+SBTapOHnfactG2mDJteZRQXblRtE3ntFVVVSpClnmeLcDO2SvnThdFK/QIIHtLUzMR0/7y5lZc8vflItczV6wqiHuF0J1d+yD3g3g7mTYewTRRYo7sSCaYKIoiCfNJnLahRKctFwKznQDk18xU54u5DxCMxBI+B8dE215j39O8XNrnkScHnG33H1uxS/zOJ6Z5e1idwmkrlj2bhPMdrf2IxVVUBTxoqPJjmlacc1tLrzjuFYX1JXWnbcywukX+nfeHfB5XgpidDrM7c2dbn+W5J4vEcqat3+MS14+Q9N0PRPQotWSmDUCaiE8zicf7h8UQVWMmlah6xAQnnLY2RVvumk4jwCdDZNo6UYjMxgqQdPDjyaUkGgBSxbSJ51u0/eVS3Ij+OH0bXLStCnhEPzIfYmJnf0Qscz+gQXPapmhr//T6Vvz82XW4+5VNAPR+uj/PTttoXNULkZmdtikmimX4uWvu2wPM0cznOUI2t5cv+DHhZLQhv4563a6MRdfdUryMoihiNVvGTlvT6smRlX7MPbDe0uiUjDKHavXoY8PUry336/nYWT5+AjbOf8Ia26LtYYcdhnPOOQevvfYaAODkk08W/xs/fjyOP/54VFdnnrdGDB7cYVJvyu/iM+l8yZe5c6EoiuEk5BfgZO5Dp9jc1INHl+/KOLg7E/RBIXvP5aYBbTgax+fufQvf+dcHeduHVDy7Zh/WSRloqXIrzVg6bVMsS+iU3GCZXKDCkrsk1RKwapMro09EKlg/h4sF0Xjuna5ITN/HSr/ugLFyiLT0hPDGxhYoCnCJVuE3matcFm35UsuCOm2FAGrdGeQVUFO5D8Pa52QVjwAYIxI4+myq8buU2xJ+8eYDzaTxCGLA4HA8QopCZLLbTe5IBCP6Ej+AVZq3iutIiEfIoDOyfn+3EEf4ktRkRGNx4f5OzLRNFY+gf/aKohfZ4SJRtY1MWwAJ1dDtYp4w/OLscRhbE8Cnp49K+1x5CV4qIb89wWnLxJQ9Hf0Fd4F08OiZClM8QhpH0/6uIBq7g/C4FEOhpFyw8x3KS1MziUf45zs78NbmVjz9wR4H9tQ6qiXXuAa5H2S3irFZPDa721PlSfpMk4+qqhquv1aZttPrc3TaavubSkgwD5hC0bhot6bVV0BR2HlrbtuygZ//wmlrmhD0e9y6GJ+lg9qKzv4wXljbKP42586mioVJlmnLi5DNaKiEoiiG6yHfbqXfwya5RPHGiCEL0eB8DfF83czFthGSaLt2bxdOv/tNXPPIqoTHJWTayqKtRSEy+VpiFV3F4X2edNcD/v9tLcUn2ppFEZkjJtQCYNfobNsb2/EIZTyfOMdMWwfiEVIV4bOLXITMLDBl5LS1WHYtZ33LY6IPd3UCYBMNvjxN/gN6NMLoar+4pid7L5FYHP/WJo4atf5W/guR6duNxVUoim5W0eMR7LWzAxZOSY5hUrLAfSx+PXOyGLTsLOVjYrvxJXu1ibLxWryMWL2a4YR2qkJwdhHnW44FklMVqZbxe3SjHze0yMdPmU+bLCfRNmMyctrOmjULF198MWbOnIm//e1vCAZTh88TxQU/eUaZnLa8cBQXoKw6F7JoO3sic/ykW5KVK7c+tw4/XvQx3trSmrfXMHcMzE7b3R392NjUgyUbmgvitn3w7W0A9Bn/TJy2fEav1iIeIRpXEy6yHZLIq8cjpG/kZQEs1YWlypR/xi+yyQon8AI4UQectvLgNeB1p3SI8EF0pc+DOdPYkmTu4pOJxOJC7GNOW32AVihEpm0Sx84kzX1oLx7B+vIwoyGxGJk5d4nj97jETDx35nNRjR/LZhdbvjqB8kA0QbSVJidkMcMq29pqEGAWNjJZ9vPsmn3i9840bar82no8QvpCXeZ8a/49NWqZW3biEQDdxZOxaGuaMLx4zmS8e/NpOGhMVaqnAWADAy4cpHqP7SanbX2VHxU+N+KqUSQpBHIhMpl0+XJ8cDixrjztoN8u8pLtZMhue+GAtDHI4+3s0x/uzXU3AVgP3H02Mm17Q9GksTryBILdbDXzihzhbtcEg1QTkObvOBQ1TgTxcykUjYmYlWk5O23Za6WKFOHnEr9mh6L6UsZRFX4xwbfRAbetHknBjn8rpy03AySbpFVVFSu2t2e0vPTpVXsN5xZvX/lqmFSZthU+a+GKX/cO0K6D/Lva1tJnKHAG6OfazrZ+wzEmT871SkJvpvC+XW8oin++uwORmIrl29oN33nXQMQwKdkbihoG31aFHvn13O9xGepbmBGibYqVF7G4Ks6T/V3BnITAfJBKFJlcV46qgAfhaDzr80D0c9PEFvAVcQORWFbLhoXb34HrhHAF5lCfIVVUV7nFikYzVvmZ5aKPbe205Rnc+Xba8uvypLpyYVRI9l5eXtckrjm87cp3ITLzRMuoSr9YuWi18iMV6Zzi+RTHM4Ef/70Ommb4tcjrUjJ22vJr3mhNb8l09SpHCPw5iLbOFSJLPTbkKIoi+kI8tswq05biETLHdosxceJE3H777di9ezd+/OMfY+HChZgwYQJuvvnmhIJkRHGSzGk7ttZYHdaqcZaX3Bw3nQVg5zsegQ/CNzpUDMMKs8vPnGPGO6PZFN9xAn6xP/OwMQAyuzB2pihEBiTOcunFcjJz2nJhS3ZlWWEWfPqEAyFJPIJLX+KTK9xJxYuepcpikws6cAGoTXLa7m7vx4rt7WLJs0thn3GltBSyUDgZj5Dsu7Ry2ibLtFUURVygu6RcVUB3viYU1rJw/jiBvD2z6NhliEewHrxabYdjzrS12zmKx1U8t1oSbdOcb/Jr+xIEpFROW2NbwDtUjRnEIwD2BD8reK4az5POFF20te+0VRQFk4skIiFZNFG6gi/crZEqVzJT7HyH8tJUUfjLxooH3g58tKcLm5tyF/tElXs50zbNMvr2vjCO+9Vr+NbClZb/b5Uybc0FxZIhZ4ACeiVt3j7o8QiJgonZGWxuG/g1qFmL4/F5XKLoSbYFUZMVPZPh93PhLxSJG5bCHjyGrZz7ZH/u/S/z8W+VaZvOQf3E+7tx4QPv4s4XPrH1mqqqCocb/954O88no1MXIrPOtN0sRFs24cRd0Tva+oSRgW+Xt7N8RQNnl8H5mv2y9uoyr5gUXaxdR8KxuCGGYI9pwqonGBXXXp9bj2SQrx+iUFIaoYAf7+FYPOn1xyxmFZvbNpWT0OVShGHi473ZRSQkW4VkpsrvEe60TJdQA846bfWiwdkbEHQDQWI/UohIKdrdsKnNBWRTjXSsSn0CPlSoCuTXacvjRiaOKJdy0a1f51/v7RC/m0XbfDltXS7FIHaPkfpdGRciSyMa5lMczwR+rXTSNBOW4xH4uCWavK2T4f2MkZrekokRSiZV+2QXpzJtrSZSksHPVT42MjptnYlrGI7YFm3D4TCam5uxbds2TJs2DT/+8Y/x9a9/HX/84x8xY8aMfO4j4RAtSZy25gGhlYjGOwIjyr0ieD3f8Qj8op3PHCye6yMybXmAtpi10xvYQlj5+WvWlBmFLjuYRTKAXXz4ILzftFRCLOEt94qZdjuiLW940zlF5KV0sbiK/jTVboXzxoGMOzkMXY77sHIMCjHZ78bICnauyMf6lQ9/gAsfeBcPv7cTAFty7nYpWQtaThJKU4iMu6f2dQ4k7WRZLUmW4YNUg2grFaIzY25PRpSbnLYi3yt/mbaqapx06QvHDM55eXBi5bStCnjE8Wj1ubWY4xFsziC/v7MD+6QBfbqlV/wz87oVkUvrF7PWbL/e2dqKz9271JCPm+C01Z7T1MX2O9UyYRm7GYYyfaGoED7MoqVd7ERAtIv2S3ezTimSYmTNWlGfhirjtVYMeJK0cbxS8XjTxGou2IpHkERbPnmWLls8LjnqAOA/q3J321o5O9Ito9/S3IveUBQfavmGZgxOWxvLdIHEfEXhFInyJZnJr2Vej2LYhrlt4BPDjVLBmAqR3Zhdn8Ow1D3Je+PtnBxXMyC5b7kLfnNT7sWj+MBNL0Rm5bRN7uiOxVXc/8ZWtj/N9vZn9e5ObG7uRZnXjbMPHwtAjkfQnLYp8lrNfUEOP37Gav3mcTVlCHhdiMRUPKetmuB9HXOfiF9DZCGVZ2Om2pdkuF2KmHCTr0uy0C7n2QLsWmfttJXjEbTJ3zQZu3aKU5qP4WLLte1PI0odPr4WAPBRlsXIdBd+6s/S5VL0jOIsRNtUE0eZwo+pbMRjjhyPYEaISDZy1WWBiB+r0bgqxgVW/cQqQyEy58VEvkJpbG1AinpIPP43N/XgvW2J/bBUn41TyKsZRlfr/a6MC5Gl6Ntns718wdsZJ+Pp5HiESl9mkypt4prHzulMxtQyqeJb7FKeZNVIpghDT5p4BEBv70Q8gtS+2l3hRCRiW7QNBAKYMWMGzjrrLFx55ZW46667sGHDBpx77rn45je/mc99JByiNYnTdlSF33BhNFdABvSOwEFjqoSTKd+iLR8k5lW0NXUMKkxuSTlvLlvXSy7wizsXXoMZxCNw56xZkBHuoiRO29pMnba8oFgaV4bsaukNRdM6bd0i09a5eAR+bOsCcuL7kzu//FjvHIggFmcF6fig8b7XWXFG/hghaOWwpCxX0nUG+ZLguArs7bTOT7XqLMvw5aBN3SFxfqTqWJgHQyIeQdtXsYxO62Sncx9mg1kUMzvn5dlvuWPDO4DlPo/4PKz2iw/kuaPBbmfkmdVM2OKD+XTxCPoybTnU31hM6fmP9mNDYw9elLIczRmO/Jzjn4vdeIRsMm35dafM6xZLjjNFz11MFY/AnQ2SaFskTlteDKShOonTNslkHD9Hxzko2tqZXJJFW+FsTTMoMw+OF324J2lEgV1SFSJL5sjk76t7IGKZh28Vj5DOOWNekSPOuQSnbeLx7TPtr3lwz5cgczfmmJqAnt2YR6ctf8+ibxGRKj373GKCpXMgt35eLK6Kc5MXIjRPCMqObqsJjFfWN4qJF7v9Ti42Hzu1DhM053JGmbZJnLbdpgkwl0vBl46aCIDFMQB6FJRZxP/UJBYttru9X0wa9ubgtAXYJDuHf4af7Ndd7nKeLX89OZLIb9G22l2S65Imq5P1e8z95uJz2qbOnJ2lOW0/yrIYmTwRko7aDHMzZXhfxYlCZPy8sFqJZpdU9RX0c8terjrHUJRUxM0ktm9VAY/ktM2sH/ngW9vw0LLtKR+jt9VlKYuqcWPHUZPZed8TZIaVVNERTiH3ERusnLa2C5HZi0fItjCoU4h4BAfHX3LhLZdLyUh4lVf0ADlk2joRjyAiPJyJR7DltNWuC619Fk5bmwVgiURsi7YXXnghvF4vzj33XDz99NNYunQpnnvuOTzyyCP485//nM99JBwi2RJNl0vBmBq9US+3uJAI0XZ0lbRkPN9OW9ZA5FO0NVdiN89I9SQpUDQYRGNxcSHkRQoyc9pGDc/lJFsq0SkVy8nGaZssm5bj97jFBb4nGEn7PD44dyLT1tzxSFWIrE/aLz4gUlUmqHX260U8uFGTV4TPtkiTk+hOW+umXVEUTNLctubBHCed07amzCtEby5GpSqsYL6vVlpmBFg4bfMQj2C1Lfl7kjtSckeiX5pYSLVfvIPGP9t0hY0A9jm/8PF+AMDnNSeYlcNGVVXRdltVVDYLT50mYQKQKktrx2i5SUywG49QlYWbXBYsM6l4KxOwUc2ax+kYnbb60mW7OJ1drqqqKDDVkBCPkPpY35sXp61WbDNVERg509aUISsXw5ORz5vqgAdN3SG8szW3PPqQRVuULtOWH+txFei1EAVyybQ1O23595ZqabLX5EQaCBv3m08cNnXpTlue3dgfjmVViFV2PVm9N7kw5wjZaSutSKlKESGUCe19YcRVQFH0CbtU8QjmlTWqquIvb24zbM8OosCXlNHP+zhcKE8dj2DtTuoRz9XbzJ9+4VAcr8WGyds1uytPmMEKL/aFY+J96K7f7MS2Gqm9u+S4KQD0bE9Ad9ryNqQnGDUczwHTSg32e2IsUDLSFSMzuym3tebu3HaSdMuPD9dE242NPVlmzaZ2KsrwJdjpJm+t4H0YJ5y2jsYjWPRF7WQhc8e93PbLxyPffnKnbeYO0K6BCG5//hP84r/rU37XXLQdWx2Q4hESH89dtl8/YYq4rycYEcdcvjJtzdseXZVdPEI8rqZ1emYat5AveH8mHIs7ZvgwR8WJSZWMnLY80zZzp21Mqj3jRDxCrquFI2mKVMvwcX2bNjaSnd+8LaRCZJlju8V47LHHsGbNGgQCAcyZMwfz5s3DG2+8kcddI5xEHvibnbaAMSLBakbnsHEs3+yEGaNEx7trIOLI0vVk8IFjU3cob0vOE5y25kzbUO6i7fp93bj0Hyvw+MpdGT1P7gToQpe9fVBVFV2aQ6am3CjIiAZT2r6qquJCVFvmk/J3MnDapln+BegDk95QNG0Gl8dlP0sxHeYMqVQDUnk5m8etVw1t7wuLJawBr0vsn3DaZlmkySlY0Rl2UU21rLG6LLXwpi9JTi6wmd16qYp5mJ37XCQwd7r9JqdtOBp3TEDjYp+i6Psov/+khcikZc+pBgF8CdCEurKEbSTj7c2t6OiPYFSlD2fNZJnVVg6bv7+9Hcfc8SqeWb1XF7gt3Cf8f13aNnqk9yeEAe0YNU/MZey0zUDISXXdsYsQFuw4bSv01+FxIOYlwsnY3zWAU/7vDdyy+ONsdzWBnlBUCCLmeIR0A578iLbpxTiD05Y7RbUlqWfcuxTn3f9OwrnJryc+twvnzBoHAHhpXSNyIZKD0xbQzwWOqqqGbH89mzb1NUZk62ptlHm1SqprGT9X9UxbvXglwMSySCyOfXzJbU3AMJGZjRtF/myscqCT9S1kV2A6Mc4ufEJrRLlPFMMxi4HGTFvjcbVyRwdW7+4UK2/s9jtl97N55VC3qT20ItnkNn9utfRcn8eF+792FA4czVah8IG6eUL6gIZKsVR5t9Ym8c831b6kgk8sz55Ui7OPYNcRYzwCm5w9ZCyLu+gJRQyTfzxzVG5bkxUWtSLVBDiQePwUm9M2XTzC+NoyjKzwIRpXs8p3HkizokxGdtq+uHY/bntunW2hOJkpJxv0eIRcCpElj9iotuE6DMWMYzPAWJTUPOkvk22mLZ9Iiaupr4/yqohUghg/p8bWBMTYo3sgKgna+XTaSpm2NdnFI8ifXVqnbYFFW6sVcrkiZ9oCej/Z3K+wQs+05fEI2kRIBqKtfJ22034kw7FMW5uFyAC9L9RmkWlrrglA2CejaZ4JEybgrrvuws6dO3HmmWfiyiuvxJFHHomHHnooT7tHOEVvSF8SNarKl/B/efmlVeNwzakzsOInp+GMw8ZgRLlPFD/oyGIZj13ki0AmTqlMMDvXyk05ZganbRaDlydW7sb8Py/D0k0t+N3LmzISoXiDrSh6J8puB2QgEhODn1qTIGO1nKc7qFfbri33ZrSUw67TFjCKpXwGLplg5BGZts45bcuE01avumzGXAl8pOQs56Lt1FGVuO6zBwLQJzQqfanF0Hwjd+5TdQbTufvCsfQXZl34ZK8pnAMWbYcsELoUvfMiOt3mQmRpin5lg/waVo5oefa73zBRIzltkyy3C0Vjwrk1cQQTCe0ILTwa4QtHjBPFCqxm4bnw9dGeroTPCtC/67DmgOTLmXnbpapqgjBgbuP5d5IOc3yMHVqSRANkQrpCZKqqoqNPXynAGcHjTWw6l+5bsgU72/rxyvqmrPfVDC8wVeX3JAgDqaJAVFUVmbaFikfwe1xCaItE42juCWFbSx/W7O5MWA4pu4d4HmquxUqtCl8I52qS60Ky8xpgAjp/b5k4bUXhJhGPYHwe/yyt3JJmkZk/R57E6A1Gsb+TXVvG1bKMVN7HyiaWSRY+rQZG/D6Xok82GguReYSTNFenrdWkjd9rFm3dSeMRHnqHLVW+4FMTMup3cpd1hc9jyAoNRWPiGEgVj1AhzhP984vHVYODV6amzIuHvzkH13/2QHzzxKkAWDsrLy6YNLJcrMbgxchyKUQG6P2Pyz49BQdpxeOaukNCgNrdztqQQ8ay//UGo3qRJ7crIRMdSC24mdGLulp/J/yY4u3O9tY+x1cz5EIwjdNWURQcNp65bTc09lg+JhmqqgpR2I7Tlh+nezoHcOOTH2HBsh146J0daZ8XjsbFykfzao5sqErzndohmMJNyic8UonCVtE4bHvGlUX82inntsqZtpmIiR1SPyHZZFU4GheC3NiaAMq1pedRyRXJ0SfZjRNH/FzLVyEy/poc63iE9OegLIQm21c9Nqw44hHMv+eC2WlrdwVqLK6ivd/otNXH1Pb3Tb5221n1kAy72f3pyKgQmaal8CLexngEyrTNFttHwR//+Efceeed+PGPf4ybbroJy5cvx8EHH4xt27ZRpu0QgHecK/0ey87DuJrUoq2iKMIl5HYpQgjMZ66tfAHMV0SCuWNgrk4qX7hTLSe14p/v7sAP//ORuJg194Qyeh9Bzf1T7nVLxSJitjq83LHncSkJ36dVA85FjTKvGwGvsYOR7vXSZdPK6APBiHBcTNUKW5nhBXByzUUEEpfvV6ZYnmVeziZnOOtLWP245tQZeOPGU3DVKdMN2+wpAtE21QVeF8Csj2c+4E+1DbPw0x9JPvCRj4tyn0cMBEUhMlNepNzZdKojGJQ6z5UWg/HuJDEofZKDWDg3TMIhF6a8bj1mJp07ZiAcw8v/n73/jrPkKu/88U/VjX07p+menIPiKCExEkISEkhkvmCwWRkDJtgg1hgwtnAAs+z+xNostmFZwBHWBmOCMQs2NjICkYRyRHFGYfJ09/R07pvr90fVc+rUuafS7Zt65nm/XrzQzHSoe2/VCZ/zeT6PIwy+6oJ1Yjw9pYiLhXIFDzpZeqeWijWuZMD7nudLFfHsLzgbrkLZLYWm166Kh5HjEQKyoP2gMW+8r37hMawR2UKhLBaUstNWXiiHjWOHppfw1bsPAQhukBIXakI2qhGtg1wqp5bczd1apVnoSogk2kqxBHIcgXyIl1fcqXnJsVZPwzrtdeictiEZu57nWtlc0TqoN5NENpWInGlL+X+0WZHnY/t3+jttVccXzbu92aT4/fP5snDarhvogmEY7lqkjnvR04hM89rk5jJZ6RBPjhEKclCWKlV88ntP4AePT4Rei8j2k8wC6qbP4+hWRFvKpn3lXv9xUodbAZSUHFJF8XoMwz1o1aGLR1golkUsks4Zu6Yvi9+6dqc4ZJE/R8COz6GDvUOqaFtHIzIA+K1rd+I/3/9CvObC9ejJJIUo/PixOViWJZy2Zzui7XzeHSszKddpW5Duk3wdTlu/Z53+fvd4L0zD/jM9h51AWGYnAIxI1YVxyJeq4n6Jsj6m+/Qf7zoo3re//NHToSIUPWOphOGJB6oXEqcK5fpLzYNyW2m9MR+wjhAHCxpXPlBbqXXOun7xNT2Z+jJt5cNdv/ecoo7SSRND3Wlk0+71qSKUPI/2S2MX/X0znbaNiEdYkoR309RX3glxvMFVt1MLBfz//u0xPC01PA5CnvdXetBIuJU+9muP2utlerEIy4kEokqIeuIR5ArReqPFAHcvW6xUV1Qd7UbnhV8LrYVo79Hl2Qey07ZeIou2X/rSl/CjH/0IzzzzDMrlMtauXYt9+/bhT//0T/HlL3+5mdfINABaJI306Cd02cmja0Sm4ubaNmfxZVmWZxJoViMZVQRx8/50mbbxJgJya/3avs24dOsQAOCOp09G/n45gJzcEFUrWmMumhgGcqmawV4MmCX39ZwSndftiYUmp1LFCj0NC9qwqsgbwaedz3TbiI9oG5JdGAe1RK03YKOxKJwh9td6RFvHNTfmnFxvGekWTrTuCGJIM8lLAoffAguQmzrVvq+VqiVE8iCnrXitznuVD9j4yO7brnSiJkPPzbRNOL/XEO6kRmVTyVm/4hn3i0eQ7vdlya3l51AWZVDdGenZCr7u/3zsBJaKFWwc6sKFGwdEhMms0jzpkSOzYnF9arHoOm2lBbma8ybiEfLeMcww3EMp9VmNWprbrTiso3Dvc6cAABdsGoj8PSr03vs5bcllm02ZnsUhjWMVySHnx/++bb8YWxeLepH3qRPzeDhmQxrhNNY4oIJc70ec8unR3kxNBuhKiJK97cYGJTzxCLIzSr3H5YOxsJLpqOgaX4Rl2srOVHWDpJYQR3WgCOdxqjbTVnZfBmXa0uZFntfdg76S5Kq25xYaS+oRvsMakck5hRlJgF7Wira1m8x/uf8IPnXbfvy37zwaei26BrjJhCniDgA109b73NHaZKg7LZzzURzcojFTJiEiIGaXS65Imk4GzpNqVBbgzhOZpBn5meyW1hG92RQ2isgWW0ylA7B6nbaZZAI71vSKP1MMwmPH53FqqSSun9zvnkzbhKldD+RDsvFlQjNtnd8/mHNf+4EOikgIi0cAomWw6liM4FSUIcGVxinTsNed//eO5wK/z81Mzwbe01HpzSTFGqzeMTwoAsAtFY/XiEz+eWL96Ny3dCgB2AJZPZm2cjyV3+umaru1/VkYhoG0NJap8wgdhGQk0ZY+K6B1TlvZhRxHtA3qVVHPz4vDV+46iL/80dP4qx8HN4UD7PWdPM81qml4TaYtZU6HCK+kiwxJkUB9MSIHiUY0IQO8+7KlkL1JEPK6MAy16bA8DqiVSkx0Iq8S7rjjjmZeB9NkppxFrl/ekZxpG+VEeKg7jQOTi01z2qq5Zk+3yGmbU9wtK8m0JVGIcoDvemYadxw4iRsv2xzp+z0bK6VkPCxThhYfuvI/XTwCnTBTeVYunUDSNFCuWphdLgWWdrm5n1GctvbPOXxqWdw720KctlFE6jCWlPL9ngiZtvSaKZNIzrQd66t1vgkhuIHdS+MgFskhZTRBJdnyZj8obF50/6V4hCCnrfR3upgBOjygDSLlluVL1ViN94KQD2eEGOHXiEyTaZvLyNetF21HetOBnYRlvvXAUQDAq/aug2EYolmg5WSpkYh797OnxPecWippM21N00A6aaJYrmKhUBava0H5f1mkkD+nnkxSLCzD6Mn6x4roWCqW8aiTA3iJ00G5HvyaAhEnNXm2gD120nszu1zyNA+See7kIr5+32Hx56plbwrlxXKlauENn78DS8UK7v2jF0du+ELxCGqeLQDfewpoTp4tIDltgzp3S/NixRGvS+WqZ8OhOjjdHMxkJDdvFHQbd/rvsEZkgL9oO+Ksg6JkJQNSjJJw2kru9nJFCGO6e0JtRCaiepxmX5PzBUwtFMUajT7vnkwSE/OFunLovJm2td8vuwtlp6285pAjmYrlqucz+PJddj7/8dk8LMsKdAG5hgG1CZ8prsN22taK8XI2/0AuheHuNJ6eXIzktJWFdNkhRfdE2EGVGpUFuCKT3ziiwxbyC8IBu1GJRxBxC3WKtip7xvvwH784gcePzeHwFnvMHevLiAieYqUq1j2ZpAlaXuU9h5X+gptKbyY4RkNeT20b6cZzJ5fwzNQi9kmN29pJWDwCEB4B4Yfc5CyKmDog9Z/IpkzcfMMe/PG3H8Vf/ugALtw0gLuemcaWkW68yskMJ8hMsJIIIhnTNNCTTmK+UMbccqnm2Y0Ciar6eITw+DW/TvVuU9KK5/93jvUglTBQqljozSbFOihOtZYcu+K3xjkmNYwE7PVqLpXAfKFcsz6R4/doLzYhucxXUvIeBr1PqYQhjCeAlGlbCZ9X5IoMP5ol2j4zZY+P0xGMYer73qg9mF+mbZjwOjVvz0/DkkkuqktXJqxJYlQySROmYa9rl4uVyJV1KkLEjuG0JTgeoTE0b8RgOopJKtH0FW2D4xFUaBI41STRVi21aFo8glL22C2VERTLVc8iLe4GVORIZpLYt81eoP786enIeV7ygK3rmhqEcNrqRFttPILrzAXshUjUSWZJciOGQZudBw7NAHAyoXy+z820bYDTlnLFahqR1b42t4GJ/TXkfrCdtm4DApUoDrZmErW5QUYsemvfV/m5CzoY6FHcqnQP6H63PJ50Sc4uWtDS/SVnG4fl7sZFFjtVQalStXwd9fK97VduRwu0kZ5MJOfezFIRtz9plxW/+oL1AOyFL51MUyYtANzjEW318QiAK9TT5g1wN9ELmsxE+TOJIxbQ5x71Hn/w0CwqVQtr+7MrymWla/dz+JKII+fZElHGsX/4+XOoVC1ctWtU/J0qak7OF2zhvFyNVd5L8Qg6p23QhqdZom2UXGK6z1IJwyOmeQ43fJ22ZsOaMmrjEUIybRcjiLbCaZsKf17l66B5WB7nZpdLojpBd3CpNiKjcTqXToiDvqdOzIu/o/s1p1T9xEG+n3QbI7ns0h2PKx4xV34t8nv62LE53H9wRvzssNgoP8NARhHi3c/VvfbFopvNP5hLe+biMOQsVXpPqxZwzHmugvJsgdqoLMBdL0TNAKffDwCbhx3RdtB+nilr1o1HaIxo6zpt50QE1YbBnOfn02vKJN21pbyudAW3OJm2fqItHeonsXWkBwAilzy3gijxCPXmO9OzG8XQAHhF29dcsB6/+vzN2DrSjVNLJfzKX/4cn7z1Sbzvnx6oETuD5ph66asjg1MmX3LvMRX5/ZT3Q/K4pY65hHrQRnNVdzqJa/eMYbg7jZ1reut02obHIxyXGkaKa9JUWFWqljCcyJm2x2fdeIVGuKL9oPd9TW/Wc6hWTzxCkNPT/XmNFeAoPiZKMzz1YJPWHYdPLeGvf/x03euQsuK0jbonJhOBfNghR45EbS7YKKetYRiuIa3OSIKq1Og6UiMyZV/P8QiNgUXbMwTqmOx3YipPQFFOdYYcR9PJZom2yoTStHgEUZrtbUQG2It++cQu7gBD39udSeKCTQPIJE1MLRRwIOKClRyIXWk7zyZON1Ryp+iafOkGTHILyieyInQ9pOnHYoTTWILE0gcd0Xb7aI/v16Ya6LRdVhbmvVn/BSm9HhI3hqRGZCeE07b2ORLCUoNKc+ISdaMVJIjKzx2JNTpq4hGc363b+MhxK7bT1vn9JVW0de892mBGaYQXBTlWQI2xUE/l9Zm2SV9XpNyNPkpG5ncfOY5SxcKe8V7sGnPLWkWzHOd5q1Yt3PvctPj3U4tF340MLYiOS6V3C4UyqlVLCA3ypj0n/XeYeCFDuYtRD7Do+i9agcsWcF3sfk4nKpce6q59LqMstI87YvdVu0ZdV68iapKIGvazVCYCGrGJjWWl6onFACDK5dcPNlq0rY0HUfFm2rqioyxaqPe4NtN2pfEIAY3IfJ22eX/RVi3VJzdSaCMy5bAkYbrzMR3aAPqDS9FgS3XaphNiHqIGR5RnC9RW/cTBE4+gWbfIlSfyfCDPk8mE6cncJb5850HPz5oKOcDwd9omPP+t+1zJFJBJ2rEnclRRGHQo0Z1OeqqVDjmxBKFO23StaE7rhVhOW+dz3Ow4bDc54u3RmWWUK1X3UK1hoq1dJv74sXnc/M8PAbCjERKmUfM70klTEsFqhf4oewE30za4EVl3OiGqqprVWLgeliMcdtO9ElfAjCJ6ycjr9Tft24xkwsTvXr/bvoZMEgnTQKVq1cSDnAioAKuXlTYjC1qP0qFHpWqJ9+jPbn0S53/0P/DoUbsyx69TfVZZP4qxOWXis796Ee740LXoz6UCq1j8kB38fr0phNNW0wdGHmvltbQuHqGZ0QiAO7epe5V0IrpoS3vQoAONTJMakVElQpQ9gCrK0p8//f39+O//+hi+ce9h3beF4sYjxMu0pTlvWJrz5MiRqPuaRjltAXcMihvzSJSq0aowiUCnrXTI0UlNKVcDq1K0/cxnPoMtW7Ygm83isssuw1133dXuS+p4aGMx6iPa9mZTwnEVRXwbjrF4rgeaUORuwVE7gMf6PcqmMJUwxYC0WKysqBGZKEt2Ople4pSq3XHgZKTvXy56Fz26hhF+6NyLRJfT7VTOtqFTzQ1OkwwgeqfMJVGGGD0egYQMv2gEQHba1g7qPzswhcecsusoLEubVMDN7tXdU4vK66ESl1Me0bZ2cdwooaJeCmLzsfJ4hHTCDCx5VYXPoBNhebLOpZNuEx/n95NIKd+rJHBNSCLkSpBFF9URrS6g5IW3fG/7dSN24xEykbKafu7kWt9w7rjn7+n1U17W01MLOLVUgikWemVxzWr3dfq95AIhFopuXIIsUsiRFXFEW3omojqOKM92JdEIQHizG9psDeVqX4tb0uZ/zXLmtYj+UBa3x2brFG0D4hHkxa9aXUKZtus0rv6VEKkRmXQ4IGeyymWBNU5baYMhnLaabGDLsvD1ew9HGr8DnbY+m8Qo8Qiq0za0EZnmOmg+nlywx6hcWl8CnZaEeUAWxNwYiSdPuKIt0a0RDaMS2ohMqjwR80GpKjZ0tEbolTJ3AXvD9y/3HwEAkeNIh1Z+yOOjjBp5QX+W5/sZkbVvz8FxRFs1a59cjORwDRNe6WBL67SNUZ1ADtvzNgwAsJsCpRMmylULx2bz0vhcX8mqysbBHLrTCZSrFvKlKq7YMYz3XbcLQK0wbIu29vteqVrCWZaPuJawrzt43eO6TZPiuVuJ2ePwqSV87DuPikzglRKlBLxXxALFEzDFPRhhTwXYzbS60wm8+Owx0Vjrpeetxd1/cB3u+/CLhblGvf8nlF4LjUBEGERwOuoIykXuStnxa4C7lvjp/inkS1U8dHgGgH+mbUZZP4oD+aTX3OK3XgtCzrT1u5+PzbiZtvLrAbxjhby+tuMR7HuA9hBRnq2VQK9fvSfU+SgItxFZazNt86WKMCBEETjVg0167qi553Mn6xsrauMRojUkpOoSuYeQaRrCfBD1mYpzeBbGSt2tcmSlGlmiQ9UDdJm2Fcm9y0Rj1Ym2//RP/4T3v//9+MhHPoL77rsPe/fuxfXXX4+JifAutmcykz4LZ5nnbRlCOmli+xp/IY2Q3YfNgCaAbDIhsoOemVrEN+49jP97x7MN/z2yc61bOK3KdTcisyzLE48AAM/fakckRG1Gpg7Y1KgpyokmXbdOkNEN3occgYBy1wBv5/Ug6nHaEn5NyACIRZ18wgcA//rQMfyXv7oTb/qbO2vcaX4siU1qbeSBinDapslpaz8zJ+byYjIOEm3jNGlqJEHdemWCHAilMi1Sgsu21CYt7mY/JB5BcdrK0QRyaSB1u5XL/VdCQXrOVdFKXYD5OW39nO7kiBzrdRuRBZUgPessIPeM93r+fkA5SKBohIs3D4rDqxNOGWRNzpvznpILhFjIu2NYjyQKyJ+J7mDHjyh5qES1auE+p4z64pU6bUNKcGke0jltSWAJyiGTHVG02FTH+6N1O22d0lWt09b9HGruq1ly2ubQSOI2Ikv6xCPUZNpKjjXKubSs2mfhkSNz+J2vPYgPfv3B0GvViaUrakSmOm0jNg7UrRPogIrmBL9GnKqD1M3+NcV9TaLterm3AImGK2xEpmvel5fud1EeX67UVKSope/fefAY5gtlbB7OYe8GW1QKc9rqGpEB3vcykzTFfC+LCTNSni1Qr2hrvxYa5w5HdNrSOrBYror3k8aQOAddf/iKs/HV39iHa/esAWBv3umw+pEjs0IIjtoMMgzTNHDDuWvRm0niY685F//wtsuEWKr+DtlpC7hu23xdTtuweISEWHfN+FRv/b8Hj+KeZ6e1/0b8zU+ewd/85Bl84afPhl5bFJYiuAnD5h/ia/ccwrceOCL+rMaOhTHam8F9H34xPnvjRTV/n0qY4v5XzQYnAppd1otoFla309Z/PWoYhuRetn/+tPOaFosVTyl2jWirNCXV5fzL3xenma18X/odah7TRKR1aeYRmjNMw97LuE5b+7NqttM2I5y2PqJtOXzvpM4HOuKIwFE5fMpda0URONX1KI1FdJh/fG655nuioDYiE8aKEAPZSZ/K5qhGKEI1G62EqP02/PBWYTYmHgHgiIS4rDrR9pOf/CTe8Y534K1vfSvOPvtsfO5zn0Mul8Pf/u3ftvvSOhrhMAkIlP/8my7GXb9/Ldb2h5djNj/T1smaTZrY6gh7//1fH8MHvvYgPvytX4iN8Ip/jyYjMicJUnJpUJzBbrlUEQ0eaONDjRei5trWiLaa7DE/5gKabehyN8lpu3HI/exjZ9pGctp6F6/bAuIRqDmSZUGIs/sn5sVmf2qhiOemo52g5qWNMuAuouWSUEI0ziCnrXOvUzO8VMLAUC4NFdq0FyvVWAvFRiHK0UK6WgvxX5tpa193KqT8RS6xrjqOHsDHaatM1rLTVxbSZPGQSrpONMhp6+armWIxQeWzqpiny7TVNVAjqBP2ttEe8VqDnlGKetk87D2wcEVb+3qoCdmlW4fcBb8jytZk2jq/V32/5vNlLGhEAU88QgyHl5stW+ugVDkwuYDZ5RKyKVOU7NYLCc5+JYs0D8mNH4go45jcHEptskccnXHf29kYVR9BTlv5cES9r0gklpuENoLeTPhn6BePIG+gVDFQnq+yKVM4xFUxh+ZueWPmB12HvCHXZZ/KyJ9bozJt6bPxOG1TJNraP9OvvF11IsnOPnqe6L1c169z2tYTj+B+rjpBWhyypRPidRRKVfdwU4kRItfZj/dPAQBee+EGIQYEOW3Llao4UBnp9T6bcrWAnGkrX/spRfQi0S9uIzIAotkjHVCHjXvyITSND3SAHS8HPIlLtw55XNiXbh0CAPz0wJT47BsVjwAAn3j9+bj/wy/Gm56/2VMxo64HM9LzDbjzVtR8fPtnRm9ERhVOus/v0PQSfusf78e7v3Rf4O97/Jh9wHEw4tovjChN1/oiiLYzS0X87jcewu987UExXogGv12185IfmWTCtzGon9lgoinxCPS51ifaFsR6VP9aRGauM0bTHL5UKAeWYotKLWpEJsUjyNSTaSvfl36HELpMW50RRq7uknuE0HgZ5dlaCdeeNYZNQzlcf463oisdMn/KLCvzgY44cQtROSS56OfzpVBzjiqw03x1atG+t1QzQ1T84xGChWRRXaKsR10jVETRVuoTsFKiGEqCoPciYRqiyiaIoHiEVMI9pOVmZPFYVaJtsVjEvffei+uuu078nWmauO6663DHHXe08co6k7l8Cf/60DEAktsh4CQ2mTBFrmIYcRwP9UCngOmkiS2OaEultkB498aoFDROHlmQkifuOE5bmjRMwx2szt8wgK5UAtOLRTw1EZ5rm1dOObP1OG01GxNx4uYMlpZliUlyo+TqogY4DzvlSn7QJjmK01bdmESJRwBst+1CoYzf+Pt7PZPOL47Ohv5OQHbSJcV10KShbiDI2SQakTn3OjWbWdOb1ZbByq+tHW5bIUxGjEfQdUwXz13ISaocjyDfj2FO21w6KUTjquWOS93phOf0dqy/OU7bbCpRk+lJCyjaDMj3l9ykhN5XeXFaqlTxnJPPt31Nj3j9pYqldQLOLBWFkERls4SaaUt5sJdsGRKbNVp81sQjOJ/p8VlVtC3VOP7p9RBxmurQ516qWKHjEI3XezcMRDqZD8ItwXXH/UrVrWageWhQM39FEW09QppP5ms9TtvlYkUIzTqnrWEY2s1lvlQRDs4NA81x2lYt/YK5UrXEWCeLaeWK5W1Epiz+ZfemYbj5marQQZ/ZzFIptMmkLteQDpRKPk4hec5W1wlTigPGjUcIvg7dOoG+l/IlfUVbxWm7JDuSlfnZ2xA2PMbCj7BGZMt0yJbyHkapApbIknbKwqmT9+bhnHgPg5ryTS8VYVn2Omi4W3Xaypm2pvS5Sk7bJe9zPdQTbd1pWVZNQ9G+mE5b+96353la+7nxCCuLMrjMqbr6/mNuhWBPg5y2gD2u6IQ/udrCcByAppTPTGuIKDmv7s8MFjRpDu3JJMUcJzfvIygzfGK+ELjWprWznDG+EqK4CSnLPUjAPHxqGZZlz400h4t4D02DzHrwE73psFY3x9SLW6GyskZkfnm+fZLYX6laIhZqoVj2jF81VUXKmC3HI8jE6QFCyE5b3f1cqlRFtJvHaUuRc5p4BLoOWofQfd9s0faqXaP40e9eI8xCRJzGYe5htv/YVM/7HMYh6UCmaoVXdqkHm/T1wmm7QtFWfIY596CBqmlve/xEzVhGB5XqnOdGjkRbP7pNS1c+N9DPoJziuLjVV9HW8qqJS90bigNzFm1jsapE26mpKVQqFYyNjXn+fmxsDMePH6/5+kKhgLm5Oc//zhRml0u48n/+ADd9+T48cXzeN1esXvziEX781CS+/9iJFf98OWtWLqEn00CjRDFd+SUNblMLBchjcZzfKbs8yOmQTprYu9EuKXzAacQVhFg4p71O2yiT45xw1wXFI9jXOLlQQL5UhWF4N43XnWWX833/8YnAU1Q3tyt6pi1gi2TrAlzdSUkYLVcs/MPPn8OByUWM9WVw/Tn2GPCLo9GeadW1bBiG2ECoC+AFyRkCuE5bQteEDLBPIOnnx8m13T8xj8/8YD9u/Oufryj6I2r+UbDTVt/8QaVbioKQN1i6hag30zbhcc2RKKuW6FM8QqMc9QXJaavGI9CmhGJYvJm2VNqZ1DZwOzS9hFLFQi6dwNq+rLfUVLMYoWiEsb5MzUJsQGTaFrFQKIuvvXDjgNis0ebMr6OyKnLPSxEvsqgkfyZx4hHkkqcwMUnk2W5ZWTQCIDcic3/nb/3j/dh3y/dxaHpJiDhD3XU6baWmjzkl+oOQ3RpRRVu6f7Mp0yOay+jGdRKIu9OJWKJ6FHLphJhHdW4iz4ZZEtOKajyCsulTxx83B1Iv2gJuSazMvz9yHP/xi+Oea9Fl2vrGI/hk2larlhDChdM2ajyCcPxKQqPitPWrNFEzeGWRSL0n1kquanpe63HGeOIRNN+/LMXZ0OtYLlbEPSjiEZSc9ulF1/lK7+FUgNOWeikMdadr3Dny5i+dMEXsRbkqi7Zep+1QQKyRTKFcFWs3NdOWxJ4oGbKq657mipVGGZDTlsaUbMpc8cFWFOTrlnPrs0K0rXr+P5JoGxKP4K6nEuIzsCz/AxXA3xl3arEovu5oo0TbCB3a5XgEv+oEWUSm+/OUyOuP7rQNggwEpyRxsVCuiD+Paao56oUOOepuRBYS1yXHI8wul0Bv61KhEiLa+jhtfWIUytIhZBjyXkC3vpmcL8CybOfliCTI6eYR9brUdVazM239iOOMXVIqFLU/rwnxCAeVDNrQiD7ls5rPl5EvVcT1T8wXQg+IdRRFXJxToel8hsVKFflSFf/7tv349S/cg//xr495vo8ig1S9pb8rnmgbJVM4Kl0rdNoWFddxGKrTVr3fV9oY7UxlVYm2cbnlllvQ398v/rdx48Z2X1LL6O9K4XLnhO2W7z4mSs5Uu369yM2ZaBGTL1Xw9i/eg9/8h3vrcofIyBly158zjl1jPfjg9buFgFvvwKNS0JRf0uZLPZ2Lk72ic7cBtusMAB6MINrKJbvyNUaKR8j7by7UwZsac6zty3o2xxdtGsRITwbz+bJonhR0nX6ZfjLyRmnrSI/WsUokTfdaylVLfB6/dPEGvHDXKAA7Ew6wP6uXf+rH+PufP6f9WTo3xaBSjg44Dh3JGQLYE6b8feMBjYFEA56I9//f/OQZXPfJH+FP/+MJ/HT/SfzP7z5ed7QClZeF5adFaUSmLoBV5CY5y5Igqiub8YtHAFxRqz+nCuP2e1zvCblKlEZk9LkuSR1NF6V4BOEokMTu/Y7rZ9toN0zTdk3SW6AbL8iVq0YjAO7nNrtUEhEKw91pDOTStU5bNR7BWRDp4hF0jW48TtsYrrGEaYjvDbvH7zvoZvKuFJ0AePez05jPl/GvDx8LFG2j5IjJ40OUTFu/TEaViXk3GsGvsV9a0zCFBID1g12BDQHrwTAMN5NacxCpbphTlC1eqXpEc/X+Vt15fg3P5AMttQv63c9O4zf/4V7c9KX7MJcvoVytdf4HZdpWpW7kgPczP7VUFJt3Wr9Ejkco6Zy2puc1hMYjOGswcrp0pRI18/N62Wnr4/iOgryB1jttpQoC5/pmpPeKxEq3ERmVm7rPGYm2QU7bSZ9sP8CtFiDxkOb7oicegea02kZkQfEs8jhBTRdV0STKYUi3srEkx3GcTFsdo70ZT5UROTmbjRzroIv6oDVBnAY4vSFrHnrvejJJpBLu4ZV6WC6PBcdm9PM+ZT/b319qyIZfXWfroNdYrvpXmByT5gd6TtRM5pVChxZyLB09f+mE2bDfA8iian3vMX2efofCsutQPoRZLJY9ApG6R5APzy3L0uaNA0qTzwgCZaFc8cwduvuZ1l9jfd5qu5yYR9zvUWMbakXb5jpt/YgjsroNWv3HynoavoWhRp+EiZzqHLlYKHvWaBXpwDYOaqZtLu020JtZLop9/P+941nsn7DHJsuyMCWctt71KM05kSu1OqgRme4APQg101a936NEyTG1rCrRdmRkBIlEAidOeJ2cJ06cwPj4eM3Xf+hDH8Ls7Kz436FDh1p1qR3Bu6/eAQD44ROTAOxJQ93s1wuJCOWqJdwHh08to1CuolSxIotWfshlkZuGc/je+67CTdfsEIJLo05nyIGnc9qqrrU4XZxpY6oKmXs3DgAAHgyJHABqm0HonH5+BDUiU8sSqFxww5C3DNc0Dbz4bNvRSs4nHYsxMm3lTUNQNAKgOm3dzta5dFJ01n306Bwsy8LX7jmEXxydwzfvO6z9WbKTjnBdC+5kXihXxcZefj2yGBSUGxbmOlH58VP2s3nhJttNuVisiAZUcQlqxiQT3IgsrtO2HFoGJy/4qHSarsF12nqfk0Zn2soLaJHLWvQ2IqMs70rVEgta+UBCJ3ZTnu12J5vZMIzAsp9np+xnbYsSjQC4uXenlooiP5nyvOle9XOV0O8sK46ShXxZjEVy+a08LsUVIKLc45ZlCeFxx2hvrJ+v/Z2aElwSmW57bGLlTltJtNVl2uZLFU9Vie5nfeYH+/GSP7tdNKEA5Dxb/2cyyGkrVz40EjUiRKZQcV93KmGIsaBqecfKmkZkRW+uNf0OtcxU/p2yUFOqVPGH33wEgH0fy24bndNWt+lU5+g5yRlHAuJQd1r8jKz0rAaJgLpsXTXTNqwRmeq07Uonakri5QNB2vTUc0CtRm2oyAI7vSb6PYbhHgL1KA7DU1JcQZR4hCklQ1iGfi/9vz4ewSkvVxqRFcrVwPdFrv4hcWVAGeciOW2V5qK01l1pPALgRiTYP6+xbno/5Ncs7wVqSs7F/RG+RVTd2CoiPsv5un5R4u8dQ096nLZ6F+2TSqzYSt22VUmEDYpH6E4nRXWCXx6l7A4+pcYjNEhMHdDE0tEaak1fpqEHfHFLuVVoXNRluQNyo7OyZ16Rnba6UmzZaSvPmRlFFMrEFG1nlftRl59PJoK1inFD67QteV+DKto2uxGZH2rGehBRRMM4Py8qcUVbmgvo0GKhUK6pxvAbU4JQM23lbOLZ5RL2T9rjUblq4WPfsd228wU33kM9rByOMGfKRI28i0KjMm3rjkdQxlf3wLxx982ZwKoSbdPpNC6++GJ8//vfF39XrVbx/e9/H/v27av5+kwmg76+Ps//ziTO29CPqxxHItA4ly3gZEM6DyGVOMo5NCs9PZEbkcmsdOCp/T21AxG9LlUwivM7SdBQN2Uk2j5+bD70PZI3d4C7WClEcdoGNCIT2TbCaWt/bpuGaoUkiiG49dETvmHwVELeFSXTVrqe7SPBoq1pGsK1WK5aIocvm0pgz3gvEqaBk4tFnJgr4D8ft7Ph/LIJlzVuikHN5kEWFGSxcTimaBvVHXXEaYry/hfvwnVn2e/1Dx6fCPoWX6Z9TndVgsR/cp6nksGLf9mpF+ZU8WTaKq5xesbURh2UaTuXLzeku6ibeybHI9BG3CktlD5X+p2LUmmnzlFwwFm0bZca6gWVXAc5bWkzO7NcwjOTXtFWFSNrMm2V954cz/P5ktudPOMVz8XvrVe0DXDgLBTK4lkMylGP/TtF4zt3Y3fPc9PCDVSPaGtZlqdEVnXXAbXluurPmsuX8KnvP4UnTyzgzmemxd+Tkzwoa1CIttL9csRxmjVPtPUX3mVHhWEYnqaE0wuyaOsdP9RDxh7feAT3dZ5cdDcvX/jps3hCctLJ6wl9PELtfKQ6h+XcY10zVvk5CDoM1R3udkUUbel7SspBUJeSaTvam1EaorrVDHEphTht5UOKGgdMKiHEH7kR2bIkkshO2yAHU6DT1nmt9P7oHNSq01aueAiKSBAl+dJn0p9TRdvw9YpwJ5W8VRkrjUcAgOdvGxL/3cg82yBkN7gsaqlVXPU4be2S4dp7TRzqO+/loMhu935+U9Ln6Vdh85Q0PgDRmhkGIT8bQfEIpumf0U0cla6Z9kT0GhsVjzCk5N4DbhOyoIPBenDjEeKPP3IDQr+5j8aWubzGaRvg6suK9atXtFUbniVNQwjtUarX1EME3RqehL9xJdZNV3quRuqoh+Ntc9rWEY8Q2IgsRLS1LAsPHJrBH3zzYbzof/0QP3gieH9jWZaY+/siur3ps6J4kIVCpcbJX0/Vnk6opPXk4ellsaZIJQzc/uQkfvD4hDiI7k4nasYUWs8d8akkiPL760WXuxwHIWBHdNqq7uyaTFuOR6iLVSXaAsD73/9+/NVf/RW++MUv4rHHHsO73vUuLC4u4q1vfWu7L60juemaHeK/G7F5lqGmEHRCftAj2q7s9MRv0nbdJ4150HW/hzZfJCjRxB+rEZnSBINY15/FSE8a5aqFR48F57Gq5abxnLb+DTNokT21UHAmSHshIjchIy7fPoLeTBIT8wXcr4l0KFeqYnESLdPWvZ7ta3oCvtKGmmmUq5anhDmbSmCHI5T98IkJUabitzjTxyM4C2BpwShvqOVS/0FJDBoPEG3pdDGK01Z2I64f6MLVu+0M4bBFjR9BbkMZEvy08QgRw+Zlp556uKAiL05pIidXhIhHUF1QmaSY5BuRa0uuh0wyIcYQNx7B/v/h7rTUeKaCiuTC6U4ntQ0XdKItvV7d4uhZR7TdohFt6X6cXSrhmSn752513Ohq2WNtPIL3z+QEWZCaKcpCQ076+rguL+GyDhgPaTHbm0kGboajIl/7YtFb+kZnSaahF6DVLtUq+VJV5Onl0skadx3gLX0FakXbf3vomLgv5AxAOR7BD125IjV80oldjSDocEmUmzpjgFzxIOf8qmJgTaatEPe979VCwf0zCX7HZpfxZ//5JAD3cFLuIC2PRzpHpvuzyQmZFN9Dn5Wb6++Oj/JGP+hwSHe4S6+Txl3/RmT2+0fvq9tcJOH5HlWgF1VFdeT3exuR1b5PcnWE6tqX50g3S9oVVtJJE7l0QpgA7JxH/YFukNM2rTptSYyXDodFpq3zDBuGIQ4l1U25DD278vtbE48QQ7SlnxdUwRQX2Wnrd+80ml6feIRuZTyg9bvqXtQhl8Hq1j1yLjzgzmVqxIzstD3qI7BQPAKtydVmZJPzBbz6f/8E/3jXwdDrBrxzdDakClGXqy5zVBeP0GCnLTU0k7PAaZ8SZCaoBzlzNi5TC3YDwqRpCKFZxXXylj1xD3JzW13Fl+wKpzVswqxtvCdXdEXZM9X0ttB8zsd8nLZuPILstPW6JOWqBvl1tBo1rieIsLU94K4T/OIW3v/VB/Gaz/wUX7rzIJ6eXMT3Aqo2AVs8XyxWYBjAWWtto11YnACtRemAYKFQqvk8/XKyg6CDYfk+pMM/iv9a05vBr1+xFYAdRTnpk2cLAOudzPqoFQIlqSH7SlF72cSlEHFvSMg9XgBNPAI3IquLVSfa/vIv/zI+8YlP4MMf/jAuuOACPPDAA/j3f//3muZkjM2lW4fwPKcRTKM3gJS/9pxTxthYp62+i32XsoheKXLWJSFEW0csog6QcTZPOqEEsBcSlGv7UEiurboJzigB/H5Uq5Yo7dFtTHaP9yKdNDG1YJdhk9i+cajW1ZVOmrhmjy0m6iIS8vJJd6QFfkK4Z7eNhIu2lKdYrlQ9WYAAcM46e0L/Pz884F6Pn9NW4xxxG5G5CwK3gZz3tchCaJBrLsyNITO7XBKbhnUDXXjBzhEkTAMHJhc9z1JU6IR3KMRR7zr7NPEImkWKjh5JuFsKceXIIgA9v3QNVD6uipKGYYiIhOOzeZQrVbz9i/fg5m88FHhdfhREUwxdIzLKKXSF4qWit8FaLpOoiUewLEtk2u6QDiDo9eoaANFYuWVEE48gO22deATK8FY3Pn6NyIgNg/azPJ+XGpFJY0EyYdZ0xI2K63r1H4eCFq71kJE6uc/ny9pF/ECuttkRIDV/8Nl8yp9zV0rvtCVxwM+1+/V73VgW+dmn+zvowFTXGFCIQ01y4KkHFzI0BqQVMU2lNh7BecaUJlY1nZ2l+4bE6X996BiWihXs3TiAl527FoCbtZ5KGJ6y36BMW/mwVM0y1jltkwlTrDHUxmqEJzdRcrjT5yYaXvlUmvg6bdMJz+e7fkARAiJmR+uQXci6cUg+nFSFOXkskTPaTy26ApRhGGI9aTeo018jCe86QYnGMHp/SHTxxiM4cQzS/EuHW2oTXJlFzTw+oIyhUSIOVJNAUAVTXMb7s9jsxOQ04udFQT40l9fWai6t6poPQnahqkJXsSwf6ttfM+jTAFZ2bB/3KWV+6oQ939IaWhU/fvjEBB48PIuv3hMtCi9fctcFQf0VAPe982vM5cm0JaftMjXSa5DTlg4s5HgEZ1xrtGi7kngEOmgf6cn4vq8UjzCfL3lE6KVixT0k0zlt5XgEcRivn6PoHo8i2tJYQ4dCunGX3JqqcSOoEZnOpSm/jlbjOmPD97NR8p7DnLb/6TQmpzWpbt8hQ/vR8b6sWDeFZ9ra10nPwGKh4nlGAOB4HVFrNGcnpeZb9BmSaLtjTQ9uetEO5NIJPHliAf/+iL1P1lU8rh+wx3v1sCns90dt/hXEShuRRd0bypCWktb0O4naT4DxsupEWwB4z3veg+eeew6FQgF33nknLrvssnZfUkfz4Vecg70b+vH6SzY29OeSUEG5LgcbKdqGOG0bdTqj+z20WaKsKBKPFov+nWNVhPin2cidT83IDs8G/gzZkQMEZ5HK2Ndp/7fOEZJNJXDxJlvI/9mBk2JjtVETjwAA159j50XryvZpwDWM8OZV9tcZeNXedbho0wB2j4dnXSZEExzXaUubynPW27m28n3n57Rd0pwYu/EI8oJRn0U8HNFpS7moT03M+34NQaV9Iz1pZFMJ9HelRNOmH9bhtiUn1Ehopq2/Y9svlkSF3IhVy13sRopHEFEfzjPmLO519yktwE7MF/DYsXn852Mn8JW7D9Xl/PA4bTPu4qVStYSo05dNeaJD6J5JmAbSCVPc3zRmTC4UMJ8vwzQgNt/y+6COUXP5khAatI3IusiBJGfa2mOsuulTPx91A0CueY9oq9zTL9gxgg2DXVrXbxDdPht0GSqLHm3QQaFhGJ5mZHTPyQtBP4e5LLTqxm/6nKmRni46gFwaZ63tFT+LeHZqEfc85+ZQywKWiEcIEm01ThVXtG1OgyKR6xzQiIzusYRpaMXwMKdtt88Blvy+0kETHVJdsX1Y5LrSuK4e3AZm2hbc8btfafox6eP6pGfHb/NQrlpCmM0kpAMoZbzzy3RXr1d+n+SDlHVKyS09r/VUFcnvjU6Mlh1UgU5bKdNWzrMF7DGcROfJ+QL2T8zjuk/ejm8/eFR8P1UT0XMjQ/MQ/X9KG49Q61TUCVcqbkm+v9M2bqatZVkNfy4v22pHJLSqEZknHiFVK9rS61uWxMw4P1cVutSDT0DfABZQM21rBZaTCwUxf1Ls2xElHoG+L6rBwi3/DhfNhbCtmfcqVUuIp4B9b1arlnvo0CinLVWHLZdEXNmElGnbSFYSjxDlsNKNR1CctiHxCDRe2Jm27tytgw6kokQB0P1I4uJisVwTCUfxCH6Ztp54BHHQp4+iapfTNmj+VHEbVvo/H0GibVlqXvpLF28A4H84SggT0WDOrZIKWfOLeARy2ubLmF70fk99Tlt/4f3BQ/b+fftoD/qyKbxq7zoAwJfvspth60xy65yD2dnlUqTDWLchXwMzbevUTuI2IgPcNZFubxgUI8f4sypFWyYe523ox7fe8wJPvm0joPJ0Ov32imfNiUdwnbaNjUeQJ31a6NO/kUhXtaK/Ll3zH2LvRltsDGtGpoqUboff4GugSTKVMHwXM/u226V5P3lqUkxmungEANjjbLh0TaGEUyGZiNwE4c9/5UL887uviDT4p0Q8QlWUedLkQ05bGd0prtxswptpW+v4IPegukiRm3sFORqev81+X+84cNL3a4ijUjQCcY2ISJgM/X4Zy7LceISoTlttPILe4a4il9dPzTuirU8JVZdHtE16ruGEj9MWcN/nibk8fnHUPeB42sl7jYPciEwW5BeLZbEg7OtKeXIk5TxbwzBq4hEOTNjXsXEo51mAZ31EW2qsNNKT0ZbD0gK1arnPMInBNZm2IfEIdAAzny9Jrn/ve/w3b74EP/ydq2NvHnqF4Bcej9DISJ4eqVSbhLhz1vW5TYp83Ey0yC5VLO0CcVk5HNM1gKJnlcr1looVsaD/Z6X5oezEovdhTcCYoYsraaSjT4crstRuhnQHNzqnh3owW5tpq/8d8maF3HVyhi8993SYqM4Tbqatv9PWFm29TjG/ezJs8yBvRuVrUQUtvxJ3v0ZkuXQyMB5BNMSL6USRncHy75ORP6tUwuuCkbPp5coRmiflsYic9JPzBXztnsPYP7GAv/vpMwDsjSm5pc9Z219zDXTfu5m23s+1UrXE2CwfWg1pmjGpLBZqD6pqG5GFP1uy674guUYbEY8AAG+8dBO2j3bj5efXNlJuBrKzW57jVdGV1lFRo23URpF0OEb3bjppiudgwMdpKzcl1AksTzlVLRuHuoRh5KiSDUmiWtQc6Hqye3Ui5sR8XjSwBYDppRLmC2Vx2BO3msUPWidVqu4BAh0MjgVE8NSDeL2Fsue1RWFSNCHzn/9FXulyySOwhTUic+fLqhvj4RNt4Tpt9WPo5HwBTxy3DRanhGhrr50sq1bgOjitbxDqlp7XOm3lPZgs2rarEZlqPghCFyunEvQek9PcMNyIqDCn7aFp10QkR2gEQWs1WjsUK1VhCKGmv37u/SCEu1TzGdLYsd2JMHvjpZsAuNWewxrRtjebEs+VGrml//3xhVI/dPdoHOrJ16W1tFa05XiEumDRlqmbnWO2mHdgcgGWZXmaAqzcaess9pQBQnbJNQJdV+ic4piRN3lRf68QSjQbOXLaPj25GKmjuVpSHhaq7zbLSPkKqZc7ou1tj0+gUrWQTpq+CyyaOOcLtSfPcgOfZkBlKeWKJbJ46HedLYm2NAFoXUXSvSiLsQOaRmRLYrPnfT3ktO3NJH0bzgCuGP748XmRoejHEU2H+Gv22AcrPzswFesZWiiUxb0c1ohM7RQtE/Vk1zQNsQig1+m3CE0nTBGJobrGaeGoyyKlU/MTc3k8Iom2B5QO0lGQHRmZpClyOhcLZbEg7O9KuQKO5LTtFkKz99BEl2cL+JchuXm2+sORbCrheQ/XD3SJz2qoW820VZy2yp/pIGA+r8+0BWz3qpoDFwUag3XdlYnmirZlsRkY6k6Lgw4/p20unRCft268XVbcVjkpr5mgZ3WPVB0w67idvnHfEQDA2Y6gK28wTkRoEiM2PZp4hChuwHpws7drxxhdWWfKrL1P1PHDnQvsr+31cWTL7ys1IpOzvWnjResJf9FW14jMFevUKAvh/q5x2rrOLR1+oq063vk1k5LjEYrlKsrOHGpHcbhd6WszbZ1xJOYBddlnjpbxW1sA3gM5uWyeRFI5qoCc9FMLBTzgxD09cnQOhXIFjzku2/UDXVrRSo1HUD/XueWSqBiS54coou2CkqOq/oyENH8FIQvnJP6bRrT8/ihcuGkQ3//A1XjRntbEu3niEaTPXG4KValaYh0QlvPqfr97oPbtB4/ioo/dip88NeU63zUVTrLTNl+qeOYTOzrKe99TE7Jda3qlhj5e4YNE3Kjr9CVlTRmE/B6pqDENM0tF4bKVm5iulEzSzcGmSAExxzTYaSuvF+JGtERx/7pOXm/+6GKxLAQinelEHq/lw3gd9Pd+AuU7//4evPxTP8aByQXxeY33Z8V6QZ67ZpdKYq2r9uOgJk/yWCv2sNJr6OuoeIQojcjs1x90sK/r9UCQg9quYvPfo8mQuWHTUE5EaIQ5ben+lCu7SPylg/Z6nLb0HqV8Ii4A9144f0O/WAPa16Jfj9La/HAk0TZ+JIEfXSvsByTei5Am1TLCaasZX7tWKCKfqbBoy9QNnXY/d3IRJ+YKnok9v1Knrc8JU66BjcjKlao4QfY0ZVBclv1dKTHBRnX40mSvE/iGutPY5DjhHg6ISFCdS0I0CjmpjJKHeP6GAXSlEmJS2DDYFZo9ZVm1Qo0os2zSqXHSJKetVeOK6MumxPt47Vm2cFOqWDWuAHkhJS+UaPM543Ha+sQjOBPweH+wm2GoOy0WCWFuWyrtk522u8d6MdaXQb5UxUMh8Rky5FLRdQNXCRL/45TA0HtEYojfxscw3JJz+n/1Ggc03ZVJvDk+V8Avjs6Jv396Kppo+4ujs2KjJ2dXy9ezWJCcttmUx2XpdiB3nj9lA0B5tnTSTojFqSKWPOtEHuiiEQjZcbx1pFv6e8Vpqyz45fe+J5MUwobsAGqUa5NKeYPiEaZ8BLKVIAtIs86Gv78rhTdfvgXjfVm89Dy9W80wDN8sWqBWwNI5bWnBv2EwJ65jZqmEx4/P48jMMnoySbzOKf8jp22laokDoaA8eXFfeeIRmuu0pft/VtPMSbdR0XUMVhfbamWI67T1fp0uHkFUHQx2icMav7EonfTPtA0SbakiQP0s3Gw1/bxKY0dSiYlQxzC/w7y0VI6qdqs3TUOI2+t9nLZLpUrNYWkQ6mZcJ0bX5OVr4qEAb44nbcBlRzs93yfm8nj4yKz4/Y8enRNjtq4iBghoROZ8riTk9GaSnntxKFIjstpMW1kw6c0mI1UG0Xg8OV8QsSdBh+GdjnywID9XciZtXrlHI/1cyan77QeP4tRSCbc9PuGJKyEGNZ8fxR6kEoYQeFWR5Umnom/nWK8oYT8+Z+fdE8JpG3GdHsVJKF5jgNOWxGK6l6cXizVN9BrFgBLr5ca4NdZpm0m60Slxc23J/Tsa4P51G52VPQcw+ZI7TuozbV3TQVg8QlCm7exSCfcfnEG5auHuZ6al+JeUNiJp/6S9llzbn62pqtAd1Heq0zatVH4EEclpq2mkSsjxNrT3ipppu2m4K3KuMukBfV0p8b7SoS8JqSfm8rHmUUCfKVsj2jqmDcMw8MbLNom/9+vnQPN8lGZk9bhb/dA1y4uDrhlrGH77PYBF23ph0ZapmzW9GfRmkqhawI+e9JZzr9RpW/JpROaWL6/8QZcnGV2mLdGbTXqydOfyJbztC3fj/0nZbSqiIYrPpvv8DeERCerGKqspo9Xhltb6LxbTSROXOA3qAP9oBMBevNHvVifPuNlncXGdtlVtJ9OXnbcW6aSJNz1/s/g79f0RAnraG+EgMm2VzrX213o/t8u3j+AV56/Ff712Z+g1k4v5ZyGi7dFZV6ggDMPAuJNtGNYxVYY2PX5uQxm5vEzN+CzFyFCiheuUJBj78dvX7cKvPG+jEDjVRbbeaWsv+I/NLAvXFhAtHmGpWMYvffYOvOHzd6BStWoaVtC1H58tiIV2X1dSWnyX3W7zTjSGKnb7OW2zPoujZx0HwVZNEzJCFmc9om2X6rT1j0fo70qJcYc2vqbRuE2C65TyF010TZ9WilyeSs/GQFcKezcO4Oe/fy1efcF63+8VTamWNE7bkhuDIf8/ldhaliUW2OsGujxiIG0wdqzpwYhzsEObenms1MV/ELrDuEZ2qddBjuF/vv9ITUUANVsZlpwi2ngEZZz1y7QNikc4uWAf9tLnubY/WyM+qGuAdMI/p1B2WMZ12obFI9S425Xxzi8eQThty24ue8I0xHt60zU78JoL1nkqR+zXYP98y7Jfw8e/+3ik2B1VzC5VLI+wBdS6y+XxJKscAAGO01aTz0kC+M8OnPQIFvcdnBGRNurrIuh3uk5brxhPG/4BpcqARD+5nF5FN48nTEOMIVEPQ7Y4Y/CzU4tSBVNzDlJagXztGY/T1v2c5ecgSp8C9fufcA5Kj84si8zsbk+FU20DWMqzHe7OYK0jahyvEW3tn7tzTQ9GezJIJYyaLNljjnhaKFdr7nkdcp59nNeoQmLxHkcgOrVYFCJgo5qQEXKmc75UEa+h0fEIACJniqpMzEeJR9A7bQH33tCKts7f5csV6BpJywRl2sp7r0eOzroiey6tzWh2D+lrGyi7pefu1+uuTV7nqg0gW0WQyKqiRkcF/jyd01Z6BoJ6aciQe35DrExbd96ndQeZYnaP98Iw7HkwqHmljqBMW8B+X+QeJ6++YJ1Y/wz79BZZF0O01R2g10tOc7AQhzh7Q4I+iy6NPsDxCPXBoi1TN4ZhYMeYPYHdpjSpKqzwQSz4uGy6pUZBUTgxlxeTrYqn7FEaiFTHTE8m6cnSvf2JSXz/8QmR3aZD7mKtgzbN5L7ToZabxnbadgVvLi7fPiL+e+NQV8BX+ndNb3o8guNs0jltAeD3btiNR/74elyyZUj8nVq269fBl/48ly+LBT4dBqhNZbrSCfzv/3KRCJsPwhVtpwK/jhYVallsj6Y8OwxyKoRFIwDufWRZtSXGrrst3Ekk4hGcBXqQw/dtL9iKj7/ufCGaq4vsoEzbhw7Pej5TEkuDOLlQxHKpglNLJcwsFYXARNd4kdPw7ev3HhLf05NJuovvUqWmxF9tBEji8Y6aUjn9YuS5kxGcttKCUBZtkwnT45xXN9Py+znY7eZm0QKtJxPNWRYFyuqaClgAk0A20tu4DatoRJYvY2bZ/t39ETfEfVGctorYSM1s5pbL4mvW9mfFvTq3XHLL+ge73HJPR6SkcadHcQqqyE5MwM7gXijqIy0axav2rsc56/owny/j49993PNvusOIpBSP0O3jkMgrc0GvZuMLeMe1xWIFzzjPUV82id5sCqO9Gci3aloZK3QNq9Sf3ZNJeOasUqUqxkj1ICFs81DQlLkCtZEkuqaj9vXWOm1zKfcA8Teu2o4//5ULtd2V6X34yx8/jc/dfgB/duuT2t8ho9uMq5VPNU5baVOli0coVSwhonniEZyx8af7vXPd/QdP4VHhtK3NswXcNQX9vxqPMLvsbXxGDPlkosr4VczQs9sbsfHXNmcMfmZqsenNAVtBr8dpW/s5z0tO22zKjDxn0Dp3Yq4gDrKOzi6Lgy85ckxuuEmQAD/SmxZNnlRRg8alXWO9ME1DNH2lr5vLlzyVYFGMHbrIDz9kkVGFnLbk6lssVoRwGXRgVw/0PEwvFsUaJZM0Q9f79dAX4C4OYiJCPBLNl/lStaZfxozzuegzbd19kHoYX/O1AU7bB504FwD4xdE5IdoO5tLa3P4DPus9QD+H6A77vPEI7RVtSxUrtLG2roFzzc8LcO7KjfhojgkzdNHY3d+VknKPg+8/t/FkQnx2NA+O9mbE4YF6EBSGLp5AFm23jXZ7KlT7sin83g27cemWIVy5y91fy5BJR83j1lHUOH3rxS+2LSp1NSJTGk97rmeFzt8zFRZtmRVBzch+oizadXmZcfAbIHR5g0H88ufvwMs/9WNPZ1qCJvKE6c12rBFtlbJpWpAEDTZ+OZIETd5BDRPUclMx6UXNtA3ZmFD+KhDstAXgW6aSb3I8Ak2W+VJFTKDyqS81iJKdS6rTloQa1c0pC2T0NW7zqfoXwJduHULCNPDcySUcPrXk+3VHNI3IAHfzHydHbNrJhozktJWeKfW9ilOO0y2ctsGZttprUE5edZmH41JTAfnPz55cCm2MIb9304vFmsX9ay6wxfd/ffgYAHvTmUyYnoVNrWjrbhbypYr4/GRxFfBfjJDTdkvUeAQlaqyMfQAAiu1JREFUdkH+bIPiEQa60jWHRY3MRiUHpm5MJVynbePcP95GZO7CPgpR4hH8nLb0OQ93p5FNecVAOnjZMNBVs8GgDUvYNQrnu7OZmS+URZZns0TbhGngY685FwDw9XsP455np8W/0SGnvDmV52E6TJE3X6VKVYzPNY3IpA1/oVypOSh66MgMAGC9MwelEqbHpZJWNiyppFfck5HFOleoLwtRKGEaNSIgPTt5n/nc7wBZ3ciGOW2L5aqbERjhkNMwDDEXfPnOgwCiNViS106kucljkWW5B6BZ50BYzi6V51dZiCYxbkiTaUvv0V6ngujuZ6fFfeTntH3pueP44PW78VtO9Yr7uTpO20X9vE2/P8g1pWtEJv+suE7bk4tFkZHYDHGsVWSSCTG3exuRuQdirmgbfT6n77/v4Ckxdh2dWRb3u/w56BrATslOW0e0lQWWUqUqKnqoAzv9P43BxxQRJEqEGgl1QxGE1aBGZEelzHM6fHnGMWSo481KkTOBqVnjeH+2KZEdvRHL01WmIjht5XuC9oukfwU6baWKQxGPEJZpW6kd2x+QRNvHjs1hatEV2bsztZ+1cNrqRFttPEJtdENHxCNI1xPktq34NHBWyWrinYhTkhAe1WkrR+5FddoueZy23msd6k6L6sVjMZuRCdHU5zPUua7fcsVWfPU39/ke7ok87lPh11LS/P56WWm0ZF2NyITTNiAegZ22sWDRllkRtLFTBaaVNyLzy7SNflpUqVp49uQSCuUqHnc6hGp/h9rsTBOPkMvUijlBr3HBp8zefR10kqv/GVVpwnRLGKNlAkV12p67rk8snKjbvB/9PpPnch0L/DjQAlhePPn9LloU1DhtfcQT2b1IiwvZmVgvvdmUiL/wK2fNlypiE6KKtvS74zht3XiE8HJ0r2jrfa+KMYLv6Tmh3x0lF46QRQLTAHo0z4naxOK6s9cgnTRRLFdDFzxqh3p1cf/CXaMYzKWE8EP3Ri5QtHUXp/Rv6aRZI5TnNIuRkvQ9Gwb9Xe2yaLtNEYNlN1BNPIK8qMylakTaRop/FBfh12ivWrXEvd2MTNv5Qlk801HzAoNEW7VUXH7+LMsSC/21jkjQLznFjszYm+b1g12e/E9AdvgHX6Oau0ffn06aDWtgo+OiTYP45Us2AgD++Nu/EH+/f7JWtJWdHvSZyuOsPBeKTFvhtHX/TRZw6edQrvv6AVfgH++XRFs101bJPpWRMzTlz9wVhdI12e1hTlu3WalSfVGTaav/rGRncD5CuakMfR3dt7rXrEJjWiZhinFW/nzsWBz6+c7aQhI9uqSx2DQN8TmSaDuoybQlfm3fFpiGnbNZrloYyKWwzicHvjuTxE3X7BAb39p4BB+nrVQe7odbMaM4bZ3s9KixIz2ZpBCeHnLKqZvVHLBV0DjqbURG+aIl8VzHEZXo++8/OCP+bmqh6MnaJyjuIl9ynwdaQwz3uALLUUm0pXvBNNwKqfUD9pqVDtWOKoKM39paZjpGhEGQaEsxROsHusScRBUEugPplUDrgOmlIp5w9jW7xnqDvqVuXNEs+lrUsiyx1lkTkLObkPK8AcAw3PGE5nfdOjQrrfPD4hF0TT7pGmXRNl+qisqpgVwqMB5hR2A8QvRM27Y1IpPe06BcW78GzrU/zz+CQozh3elIjbSrckVlOhEp07ZYroo5ujudrNm7DXansVb0x4jrtK11uspjhe5eCIPWOWoTRe3vL+tjIuthpfEI9TltnUxbXSMyjkeoCxZtmRWxc8w7aNHCJswNGgadjKqTdpzTInnCfVpTUu3XeTSnutSksumlYlksSIIGG9qc+mXahpXAy++fm2lbe1KpC1Z3s9eCF4vJhImbrtmBizcP4gU79aUchF95sS6yoJGQA5o+S8PwL4XK+pTfzAWIJ2ozMrX5VL2E5dqSMyOXTtRcV3cdou30grvpCYPcyYBGtK2jERm5XuMI9/Iz19+V0jbBk12NAHDe+n5sdVyqYREJsjh0crFQs7hPJUy8/Py14mto3MqJ+JVyTYmfeM9KFU9mm+pwyWoW8EvSBtJvTACAfkdUSCWMGjFfFi9qSrWl936gK1WzcF3JIYSK67QtasvrTi0VxT0R5X6MiuzcnPNxz/vRL7oQ1z5Tagkgjf9Vy34+aENO5bj9koNTdsvLm3rLskR+bphoK2dM0/cDwY0kG8Xv3rAbpgE8cmQOx2aXkS9VRAMP2UUiz8O0EZfnP/pveXx2N77unEFCSi6dkMQwW7SVY2LkfEb1Xk8FlGMuSs4+WbRVD2BkwjJtacMf9MwB0RqRqVEcYag/s6xxF6vI7hydm4XWB4aUc+3XiAyQ1nTO+xAk2l6xY8QjIJ2zri+yAzDlRHBULXtOmZGa2MgMOqLfzHIJz04tepoYEbpGZEB8py3gVlLQfbqa4xEA97XLn7nbNLBc10E8/Uz1GaJ5WjYv9GaSIvaKPmNyZo70ZITIf1wSYUn8HcylxUE+lRnTGFyf0zZ6LwByE+viEeSDPVpTuk7bxt4vIh5ksSiy/s8ab5JoK+a06E7bmaWSW5oekmkvH54MdLmHzST2BTciq2iFURldk0/AblJ1crGIVMLAeeu98S2DubR4HmgcyZcqwtW8fU1tpVQuZX99uWqJ8Ve3lu4Ip21U0bbozulBArMce6CuB2cW5UZkelONjLwfsZ227kG9XxMx+TnPZRKetW7SORigBtJqc8MgKlVLHG76ZdrqXNdh0Drn+Fw+tGKwnhxZP2gtUChXQ3+vjjiGHoLWB7rYPtmd/siRWU+1F+MPi7bMitgx6l0s0IK9UfEI6mQc57RIPp17WpMdG9Vp25NNepyxlNcY9BpFPIJPRIGuO6mM/ProPVBPKv/h58/hnI/8R42bk8pzo2xM3nX1dnzjXZeHbkR8M20jZB6thJRw2tq/V84CVPErv5lZ8hd41KYYunK+erhihy2C3/7kpLYhhiz2qK/Hr+t6ENMxGpEBsmvb+zsoZiGKE8mvg26c3w8EC29jktv2nHX9YsEcJtrOq/EImvHkNVLjKnq9tJBeDIpHKFcxKboj125KdCfIlFGaTpqBix4S+DYN5TyRLYBXLKlpiiSLtrkUEqbhGcca6bSle6xctbRZYzQ+DnWnG7LYJMiVM58vR3axEqJSQOu09TYikzdTiwX3kI5ERhLW5XgE2WlbrlrIl6qR4xHIqaKKtq1w9A33ZLB73C5ff+DgDJ6eXIRl2dc8Ignu8r04Jpy27v2dL7ruPBrPaHzIl6pi80F5v92ZpMhGpgZDsmgrO7TU+ZlcL7QRXy5WxOaa3jvZaTu3XBJ50trn1YkI8Is7cp22/s9c0jQCDhOdNUuhIq4v6lipCqhRmse4zUsMcS/Ln9XEnCuQkQCW8YlHAGrH+UGpMdiIJMqM9WUw3p8VeeGAm/EZBbkEtFSp+uZW0zhoWcDVn/ghLvrYrfi20hTWr6EouR7jCK/bnJgauk9XcyMywB1XPFmbmkzbqE3IAP/10lMnHNHW46g0xLhN4txJKZNfJ7BML9YeSq9X4xHqcdouktM2RjyCpqpQRDf0dwlR9RlnzCF3d6MYIKf5UlFUEO6J8ZzFwY1HiG4goAPtwVwq9PBffpYGu9NizTLtrMd19yAJiOWqhSXns/C7V/2ctuSyPWttHy6Wxiv7utOi8ov2ZzQv9mWTWiGaYmYAd+8W1oisXZm2pmmIQ5Og+USOKQg6eKO5jA65ZbyNyMKdtrIA25VynbaW5a6hVaiqgtbW8lgzkEvDMAxt5EoYclVL0k+0rcNpu6Y3i6TpNFEMcf42MtNWntfrcbfW0xTtdRdvwEdfdQ7effWOmn+jtcndz07jFZ/+CV7/+Tvw1InaimjGC4u2zIpYP9jlmTB3OidPQQNzFKjET92w5aRs2TDkUn5dx3m/BiNqKUhvNqV12vrFI1Sqlrg+v5LJsNfh5tmawoWolv//6MlJLJcq+MsfHfB8LwmcjXSE+AXCR8k8Wgm0qaTfG7TZ9Qu6F5m2OqctbR4WyWlb2+24Hi7dMoSh7jSmF4tat63cjV5F51ALYyq2aKsXuA85G6CwjGOg9jmJFY8g3S9BzaQoPzOVMLBrrBfbRuzxRXcII7OoxiOIjaj7ey/ePCiiCuhZkcvcSHxco8QjlKtuUx5dZpsu03ZJiAjB7xFdz1maTZjs2FE3KV0ep639fsqiX08Dx4Jsym32QDlwMm6ebeOiEQCpEVmhHHgQoyNKpi2NLQnTFbuWpPuABCr6WcfnlsVhz/qBLnSnEyKTbz5fEsJyf8imXbiBlHiEVjhtAeDCTQMA7I2sHI0gb9TkXFmKLSmUq8L9oqu4kDdP9DySkNKbSWJEEv8Bb0yM3JHZz2lbqlRhWRZe9qkf45pP/BD5UsXbiCznfubffsjOrt63bRgqOmFTxq/6QHYfdQc0+lvv5B0XK1Xc+9wpz+8Mg+YhWgdFcdrSRi+dNMW9JY9FNHbJ77H8WlQxQRUp5TlGFtEu2DgAALjQ+X/AvwmZDnljWqpUpTzElPJ1Jn7leRvRm02Kz+TfnGxywq8R2fO2DMI04BGWwyCnLZmTokYrdCq0vpDvZ5FpWyjXdRCvVo+Qs4qEbrVyaUDJtZ2SxlhaE8mi7ZR0EEhQPAKtpdTGPlEqlUSmbYR1kxqP8Of/+STe8Pk7cLfjEMumTAzkUkIApnGj0Y3ISBSeWnDjEfY0y2lLTscYTtuJeVobhefZy3uUoVxarCnpwFPbiExaw9F87hePQH+vipPUhOyCjQOezO2MU53Qo3zWB3zmRSKdMMVeZVmItrV5u50g2gLenHU/lkrOnivkOuXGlerBp9zczd2fVX0boC1LB0amaSCbSohr9YtIWFTW1t78bPv9HvdpbhiEfM/Ic1M2ZWLftmGctbZPHOjFIWEaka+nVNGvPepBjqSrJ9e2nmvpySTx5su3iNcrQ/Mo3QqWBTzl0zSecWHRllkRCdMQp02ZpCmyUZvViKw744qnYcgC49NTtYOB3++wT+zcQdruKu+KrCRKyJtWGblZiH88QnAJfF6zCc6kvCeVJErf/uQkJqQTuznh1Grcpj/MadusBQht0GnRGPR7sn5O24BSarUpxpJPWWVckgkTLztvHABqXEAAPA49FVp8RHGKEOSQ1ZWh6PCLkqBmKxuH/HNXiR7lPYrViCyy09ae7Heu6UU6aYpFki7uRMYTj7BQ0EahGIaB/+9C221LTU1ykpuTGm2p8QgARAm53rlX67RdVHJT/bj+nHH8xa9cgD96xdk1/xaYaStvDJyFqjz2NDIeAXAFTCpblZla8C9FXwn0GmaXS2Lsi5oXSJtDrWhLOaMp9z2i53+xWBalu6O9XtH20aNzzs9OojebgmEYrjMpXxIbltB4BMWB0kqnLeCKbPcfnPHN7fPEI0ibcYrx0ZVU25m83ngbOXNWjc7wxCNIDvu0cq/L3a/nlst4ZmoRE/MFPDO1KMZM2Wl7aqmIe587BdOAeN5lwrLVxOGuIiDI413Q82WaBi7ZMgQA+PFTkwCiH3CN9NrvEUW5RMm0lR0xutdGuX5jkmgb6LTNeg+L5NedSriZ3nud+8jjtPVpQqaD4hEA+7Od8cm0BYCPv+58PPzH1+NLb78MAHDPc6c8QgDdB+rn8v9duAGPfPR6vGrvusjXtXXE+yy06jClWYhMW+l+pr+TYymyMfK0ezxOWjszHnDXompmvdxMC3DnETvT1r4vZ5dLYp3vOm3dcYHWTgenl1AoV2qdthH2CPRzozQL65Myyy3Lwl//+Bnc9cw03v7FewDY45dhGDUCcJS83DiQ0/2RI7MolKvoSiWwOaC56Urok+azqARF0dT8fKnvxmB3WhyykIlCJxDJa0ch2vqU78uRVjLktN27YQDnSgdLNFer+zNdc04ZwzCEeEljra6SsxMybQF5Dg0QbSMe3iQTpniNS2rlnhjDU561gZ/D1+0v4H5tX4jbe1E5oPOIts6zuLa/9iAojJK0j5TnJsMw8OV3XIZ/+60X1F1JJpqRhYq2jcu0NSUzQlATdf9rofu5MQ0PL9g4gJuu2Y4/fPlZuNKJZ5yImTl8JsKiLbNiaCLbMNgV6lqJil/HZtpYlypWzSnhT/dP4Q//5WExIMmnw4dPLddck1+DEcArrvRmk0JIm8+XhEAmX6cMCUbphH8jGRIF/OIRdM4l1R1Jk1jVAr55/xHxdcKp1UBHiF8XTzk0vhkkE95GZEGb3TCnra5MzS3Ts7/Gz6FTD688394Y/vsvjtc4zw9L8QgqYdEZOtxM22hCmSsUeZsJUWlbJKet8h7FyrSVnougZlL0/lBjNzogOqBxzsvIJYwT8wXh5lM3ou950Q7899eci/dcY5fv0ML7yMwyqpbd+IQ62Wc0oq3OTaITSqIeBqQSJl59wXqPoELQZtAwasulMqna91M+tGm00ECHAyc1zcgmRT5hYzer9HqOzS6L0/lGOG11GwVdHI7qtH32JDUhc58Vt6FPWRp3QuIRlGfRzSRvldPWFtkeOjKDJ47bQrS6OfWKtu4YQ4ezfu683qx3LJuXngN1rFrvEW2D4hHsP1eqlvhsADtDckE4bV3Rlu6VK3eOahvjUAZ1mNM2o4xv2YiiLQBcssV+j590ysWjjpUfeMlu/NErzsZvXrUdQNRGZK5YoFuPUUmm3OwtMNNWem1D3ekap9km56D+UkeY3jbSjRftWYMrd47EKh81TUO41UqVKk4thh96nLe+H+mEicn5gmiUBvhn2tqvL95ztVVpCLnaM21JMJBFtVw6AfpY6ZmKs6aTD5g2D+WwXXGgqWuFIKdtb8Zdb5PIIkRdSRDdPJTDSE8ahXIV9z03I76W7tewajzLsjyNksJfoxv3cvjUshhraNxe5whD6s9qdKYtCcz0e3eN94rnptH4VdgFMaHECQXRqzht6XklsV8n2pqm25OBvs43HoHmVmncLFWqePiInU99waYB7BzrEXMMvbdqIzJdc06VrFSNCeh7pnSM0zZRu/5XyWvWRX4Io4JyUDKjiUcI+r26fa/bj8DPaeutjpTnYnKlkynj+GzeNxtXhQTTpGnU9NwwDCNyVruODc4YrFYH1FxDHZEEQaykGVk9jciCSCVMfPD6PXj7ldvEOuHEvL65MePCoi2zYmgi2ziUixQ2HoVipfaUEvAuJNXToj+79Un8w88P4odPTADwNp2xLOC5k0uer/drMAK4bsdUws6qo8Hu8KllyGO+bqMnNo4Bm26aYArlqjbzVDhYpddLkx79TnkS+8Z9h4XTZL4JTtu2NSIzvYuzoN+j65QNQDQECnLa0uJiKaIjMgrP2zKE8b4s5vNl3P7EpOffjgaItmEubBXLsjyZcFHQxSOQENmTSUYq6VOF7Tjvmd9CVuXGyzbhN6/ajpscUZWctpPzhcCSPdlpK5cgqY6MTDKBX33+ZiHm0HNOGZhD3W7uY1IqgTs8Y48lgU5baXzy62YeB9r8ZZJmzYJRfi5o0ygvXhvttCWX5JSmCVAcp00caDyl/MCuVML3UEwlOB6hNnolJ9zu5RrnsPpsyM9wr3BjSaJtqNPWL9O2NaLttpFu9GaTyJequP1Je5xSm62o3ZNpXqbxX1cZAkgHUHmv07Ynk/I40lIJw7PJ94i2Se+9Ll+LnAn39OSCpxFZVyrh+drXXbxB+/rdQxb9mqWgcUzJ32e/zuD78HmOoElEddpuH+3B216wVXx9OcKGUy5j7ErXrseEaCs7baVxsasmHsqbEajyyTfsxed+9SLhJjYMA3/7lufh7992WWwxiT6vUqUqPT/+c1o2lcC562037z3P2tETlmV57oOVsmkoB/llyO7A1ch7r92JT73xQrxGcp0bhiHeKxq/4zgB5Xtk93hvTeyTGgskO22rVcuTWWsYBtZSsx4SbcX6xh0jTNPAlTttR++PnpoU8zw1BwpbPy0WK0KYiSKsyvfSfQfte21df1ZEE2wZyWl/VsPjEZQ1XrOakAHuun8+RlQXZWaP9kVw2iqZtuoakvLeVbLOXig8HqE20/aJ4/MolKvoyyaxdbgbqYSJ3c57OKBUKYl4BMdpG3QIlVPWffQ75WvrSifwhks24GXnjUdeqzeDSPEI4iA2fLzTiYGWJTWT7E4hnTDFwZDfAanO3dsnZdProLGe5uBuj9PW/t6xvixMw9YVdJFeOhrZBEzFddouBX6dyLRtkFDatRLRtonvB62taexg/GHRllkxr7lgPS7fPow3X75FLPRWmmlbdL5fHazSSbcUQy1/orI/EhLUQf4ZJSJBOG01g5BcamEYhnAKPKNkaepKKhciuOo8eX+aAZR+rry5yypdxuXX9+SJBXF6TH/f2Exb/cSZF/EIzRlKkkojssB4hJT+9DhIPBlUGmIsFhq32TNNA69wylopU5EQjch08QgxnbZLRbeLbuRMW3qvpPuXuuNuGKxtjqZjJfEIsuM1aFOzpi+Lm1+6R8Su9GZTYoLX5VQTch6wLNqGlRmpixrVLUKbANdpG60RmV9jnDjQAYNug5JKGEJYIGen/Pw3WgAcFvEIAZm2DRZt1fEszmbY79AJkA9qap2TciOyUcVpS1BDHEDOPSxJjciCn0n6efT1rtO2NY4+0zREHimJe2qDUXmh3teVrIlX8Tu8o/dxvqCKtgmPE3u8P+txs3jiEXyctoC3scjTU4ueUknDMMR725tN4iVnj2lff1jJoF9T1KxHtA1+vsgRqv7OqCQlMTMMOR6BxgpvPILjhIsaj+Bx2tbek9tGe3DDuWtDrysKbl6x5IIMec5JEL/HyQvOl6riYL0RFTNpKfYLaN1z2SwGu9N41d51NWspGl9d0ba+eITd4321oq2f03axiLl8SRxGDIlyZqfJmDN30zwzpFRvUFnttx88KtZAJKyFCRNUgq9GfviRlJzr9x+cAQCcu74fX3nn8/HHrzwb//VFOwHURi00Oh5BnfealWcLSJUjsZy20TNtPU7b7lSNuO/n6qOqB1e0DXbayuX41A9h93ivmHPOcWJc6LPrlub/StUS3xPktFXXfQUf49Gf/NJe/J8bL16RU3Ol0DUFZ9rSnB6+t9OJtvOFsniuB52GYDoRXUZXuelGdPg17VbiEeSDAOfzTCVMcRAc5m4lGtkETIXGx4PTy/jZgSnc+ugJbc5vqcHXoB4sxKGeRmRRoX0UjR2MPyzaMitm03AOX37H83HN7jWS03aloq1+wgNkYUV20lrCETXjLMbmlUFeLakuaspXiJwyAdBiQi7BA3yctnnXTeSHR3zWiHPaTFtyZJXsLF3aCFNzlW/cexiA+7obKdr6Zto222kbJx5BvD9KGD51odY4Ot0yPW88QpymWkG80snO+89HT4j7tVK1cMxZOATFI0TJZAPcXDbZER6GLh7hsMizDY9GAGqdtV3p6NNJVKetjm1Ouap6gCIjC9702aYTZk2Zk4r6mlThkTYB5CCI7rRd+X21ebgbpuFuaGUMw8A56/ox1J0WBwEep22DhYYREY+gcdo2OdOWiHPfxI5HINfZQkEImZQvWiPaSgcvcv7aTESn7RrFZdCM8TsMikgA7LFBPUySF+q92VTNPa6rDAFqqwbotXVnkh7XHJUWE0PdabFR8WtEBgAnpEX+E8fnhXOOxlAS619x/lpfESpszeIn2sp/Djvky6YSIuIFiOZekpHFTL8mLuJ6pRw83Vh0QtOIzOO0VYV3zSa4WchrIhIAwkQv6v5+j9MQSh77G7Uu2SZFJKz2eAQ/ap22MURb6R7ZM95bs65RDQw0Js4sl0TlRF82KdZw60X5sC3a0hpnRDmUfsEOW7SlQ9SRnow4WAhz2p6SMpOjCmgkYlIm6o41PRjIpfGWK7YKUUg9OI+7vgkjk0x4xps9mqaljaKeTNs48QieTNtcuiZGw0+0pUPDuZBMW3nPRBzRNNu9Zs8aAG4ud69knDg0vYRiuYp00sSGgNgw9cBfNL9tY3atHzoxW2VZrFmjOG2Tzve488zMIhltTDGW+DVAdn9nbX+BMKctNY+m9Zv3kNF9FtcpY0oYjWwCpkLrqx89OYn/8ld34h3/9x7c7VSKEOWKe/jYiExbwF13tKoRWVToAHmS4xFC6bzRhFnVZKUOkSuBNl+6E9RuzaneYrEifieJNLTQoBI91Znn12BE/h29jvDaJTUik9G9Tto09IZs5Kijrm5xuSQcrJJoK7mY5wtlkdX35su3AAC+//gESpWqEFIbWcbXJ3KFvNeqa0DTSEQjMsc5GZSzFua01S2eaVKfWSqiXKmK721UOfn5G/ox3pfFcqmCR47YeZHzkrNEJ2y5Qke0gw85GiHq5kO3eKIDiSh5tvJ1EnGEiKiNyHTQe0bORB3qgY36O/1QRVX181F/hla01WbarjweYbw/i//3nhfg7976PO2/f/1d+/Cj371GLKBld23j4xHs1z0V5LTtCXfaxEGNm4kl2kodvVVxTlcGSOP/s1NL4s/0vqpZ4dTFHHDLPefzJRHLEira9rnvZbVqtTweAQAu3DQg/nvbaE9NWTsdnhmGPa+pQueyjytHZNqq8QhZbyMyVSQ2DEM4tdRNQkLKPj0x6xVtCfr8LtgwgEzSxI2XbfZ97VnN8yoj1gnKddjdre2/i/JcXyJFJMQVE+VGKGERCSIHL2mKz0PXiEzu6KyW8Mp43XDNFW3pPqMxJGEaoXncJNo+NbGAmaWip5t42CFdVORmZKs9HsEPelZFpm2Me7Q7nRTP5O7xXoz1ZSEvRVThR46lmlIyw4Fa0ZbWOOr9t6Yv63GarhvIunnkIcKEaEIW456m94iaUOqcl/IhQ28m2RRnmjynnDXePNGWfs/UfCFyFqjauDOIPmVsUau3/JoeUaVWWDyCTpw8fIqy6N055/pzxnHfH70Yv/HCbQDctcZCoYzHnZz37Zp5UUZ1MbqHfe3LrvUjXjxC9Exb+ZmjQ5Eh6Xnwa4BM6A5/Ra6yz8HBUkFx2kpzsfwsqqLt8dk8bvryfbjbOexTKZXt+70Zz+/ONT2iipRQGymSBtLIa6B1kd9aJ4hGNkVTocqqCRZtQ2HRlmkofrmicQkKvRYThCRqySc0oszUmdBpUfe0Go8Q8Dto4ac6bVXqjUewfyYtLv3jEXRO26rldVc+f5u9GTx8atlTLtpIocbXaRtjYq+HhOl12gaJwxnNvZcvuWK+rtO83IhM/hwaUVYJ2OIDTUgU8eC+FlM7GYc1qVOhxnhq6WAQasd6ADg07TgQhmrdvzpUgTPOJk9eyMYVbdUmETp0/xbF8aDex7XxCN5/H9E0fnNzJBvrtAXscsy1/frPR3XgyCJnwxuR9QQ4bZsUj5BKmJ4Yljj3TU86KeIjVMeGLoqGxv+D0/ZBn/xaejNJT8alvPnrlTYYMwENEGVGejIwDFuMm14qiutrpWh7wYYB8d86IYIW6j2ZpKcLMY2toZm2FI9AWaNpr9NWV3FA46Yu15BcuMelTFvRbDBlIulc7//8pfPxs5tfhHPX99f8DELnRpXxc9rav6vW3ePH87a4bua440BKyvUtV8Kctm6XZ7URWb5UEXP4mCceIVojsmY7bWk+pNzd/q5U6EHkcE9GZJ3f+9yphjYTJbZKjbVWezyCHzRf1JNpmzANfOAlu/COK7di20g30knTM3eqz8egtO4STcZ6agUWNR5B12j1ql2j4r/X9mfF+mkp5NBb5G3GiNmhz56esZ1raqMJZGFZt+ZsBPQ71vVnm/Y7AGDLcDeyKROLxQoOTC6EfwPqb0SmzbT1ddpGi0fICHHSvRfontowWFvdQWMN7c0WCmXc77iqKULIjy7HHSriERrcuKmRRIlHEOuiCOt6XTzCKakJGRHmtF3S/E7Xaatf76vRY90ep617f1EzMvr8v3HfYfzrQ8fwtz95Rvtzm5nhum6gC19/1+X4yjufjxc645caGSEfNJyOjchk6IB+erEYeE8yLNoyDYaEkXzETNsP/fND+M2/v7fmFLcYYMWnQXm55A7isuPrlJINSCUvz0wtolSp4uPffRz/dPdBt7un9neQ09b+XWrZDqGW4gNSPELI4j6o4ZRODJUX0bSw7utKYSCXFhvce56zTw1z6YTYuDYCEkhUp5rfZr1RpGLEI+hc3iSAJExD63yWHR/0OaQSRkMnJrWpwXxIfAbdF8VyNVKGIZUXDnVHF8koE0xeKFCmbd1O2ziirXQvx818c4Ug/zFmQeu0jb74JPziEQAq4dYcKjnvQ6liic+PFkmNdrwGIW+Igpoi1gMJbmpTh1KlKiodRmIcIkRFfmbiZNqapiHeD/XgSTQi0zSWetZpXimL86ZpeNy2ukZkx2bzqDhzWth1phKmcKNMzLkN9lopDg12p7HVKQFXO7/TNQKuMyqjuFP9Du9Epq0y9nVnkuhKJ8RhqJqBCbhOUN1YTNdzXNO4Qn7GUglTK/TI0Od+aqmIbz1wBP9832HPeqQQsBah7w07oAVcRyhQGyMRRlJy2gaVtALeMkbVEU1iaDZleg5yPKJtyjtW9HriEZp7T5KYQPn8W0dq70Udl1BEwnOnGppLT8jxCK08TGkl6mFo3DXdu6/egT94+dlC+JKfaXVedWOpijjpzCGeQ5xBt7t6sVwVFV665k3UjAwA1vZ3tcRpS6gNGwGvs7BZhxz0c5sZjQDYOb7nOwd6lOMbxFKxLO4fOTPbD9m1PpRL14yjYfEINMf6HcinhTmhtuGuXCGjIleI0Ou+MEy0VeMRAvaX7SZaPEJ0Q44uK1VuQka4mbZ+TtvafV5YRIfa5LfXJ85Hde8/dcKuzPFzd5abmGkL2IcAz982LNZAah+gkke0bcw1qBXDk/MF/K/vPSHc50E0U8QezKXEa5zUVO8xLp03mjCrGl2GkB+lShX/eNch/PsvjtdkxQZl2uY0TtupeVm09Toaz3dcNjNLJXz4W7/A524/gD/8l0fE5j3IaUsTgJ9YqBOnFyJuGnIBjkqdGCq/F0K0da5v15h94k+5OI3OXev2cao1PdPW9C7Ogn4PbVDlyW9GNGVLah07NKmXKpaYvBvp0AHciI15kevoXpMOT5O6CG7baSkeISrUfTfvcdrGy7RV36c4zpzGOG39c9bqddqqgkVQPIKfk0Re5NLz4WYlt1K0bV48woiP05b+nDCNpmxY5Wcm7n3jVy2gKwN0nba1oq38szJJ0yNO0yb0sONaz0jCWRCjUiMGN9O2teLQay5Yj4Rp4No9tQ27aKFO95Radu8Xk0OHBTSOyfEIADDivG6d0/YNl2zEhZsGcN1Za2r+jeZCOR6BiDt+05xybDaP937lAbz/qw/iq/ccEv9OaxndOiErRNvw3zmQS2O3M0/7Ve74IW/ayiGirdwwRI1+OC7l2crzYUb63GqEd6XDezOh++xep6nYeQEOaRmKnrjn2WnxPDdyHt811oukaWC8L9uUTWsnoB4SrTTyShZta522dFhewnPOwZgnLkVy2pKomzAN7Zh/yZZBMS+vG5CctiFuspmIje5k5Dl1/UCXdj7vzbpr5TgHi3GgtV4zm5ARFzl55/cfOhXyle6+pCuViLTm6Atz2mqqLIDaA3i/A3nXaWuPiZZliUxb1Wkr0yOMQRU8fNg+QLpAihDSf4837o72IR0t2jYqHiFVGx9I+5IBTzxCWKat/feeeASK5vPJtBWNyNK1c7G8BqXcfGpE9tSE7Rz3y1GlOIBmj/d0f6hRiyWpkV2jmtaRg5nE8X+86yA+fdt+fO72A6Hf20ynrWEYotHvxBw3Iwui80YTZlUTpxGZLEgdVfJcCmX/U52cJkxbdtqqXbjH+rJiEfiPdx0EYA/Idxw4CcDHzUuh5mGibVCmbcimmxYGulBw3SZY7r456TRgIccXLd6oGUej3SCyu0w+8RTX2eR4BCJItNVNfjMiV1K/2exKJ8T30Wljd4OFNddp62125ud+TCVMcU9GiUiY9sl7C0LkIzvv1exySbhZghazMvL71JVKxFpYyAvZuBubKJm/9L7JXeijOG1r4xG8bhH5uv3K/9MJU2za8s4idiliZEojkZ3ljXZtkntxdrnkWfjTAnikJ92wPEkZ+ZmJ69Cmxb+ad6xrREbjP7029bMm8WD9QJfnvqf3mcTeqPc2uZIm5guuaNvgBjZh/Na1O/DEx27AeRtqhTISDema1LJ7v8O7XsW9R88sPcPvvXYnXnvhejzfaaYpc/XuNfjmu6/AzrFaYYLWBeTKkMesuOP3jjU92Dbajd5sUpTZf+aH+8WmiRwmuvGD5uew/Hriv167A1fuHMELnK73UTEMQ2TglSLHI8iNyOy/oziJMcUFR4d4SbO2ysSvsUszoEzbJxwXVFTR9nmOaPvgoVlxTzRyrB3tzeAr73w+/u/bLm3Yz+w01DXjSkVb+SBGrVQjoXR6sYi/ccqTz17nukYpE7dYruLJEwvO9+jnlGwqgevOsg+azl3f7yltD2Jak7kZRq9U6bFdEyMD2GtlEovizlFR+dV9m3H9OWP4ledtasrPl6G88yhOW1pvRx0naD5JOtnV6tgd5rT1+zOhNtydXiyKuWrtgL8TWBb+lksV9GaS2DGq/7wJ1aneTJFrpdD8GeS0XdI0BfPDddq6z5zuUEQXy+b5nU71rCceIcRpKxqR6Zy2Po3IKlUL+x3RVteXAXBF02aLtjqzESBn6jZuHa26wSl25snj4dEnpSY7j+U1MOPP6Vnnw7QNUaIeIZdE3jwfm/GerhR9mn8A+lyWScnxJRqRLdPmN4mtI90iyyadNFEsV0VWke4096rdo/jWg0dxzW7b5aMuJjJJE4VyVZuDt6Bk7PjhLi41mbbOJksVi+n30sBGIgE5bWmB24wNf182hZmlksepRtfZ7HgEIqjZVUYz+dG1Br0fa/uzePbkEm57fAJA44U1tRlPFCd2TyaJ6XIxkmh7cqEO0VbJljokHIXpyA6lnPQ+xc00ljeEsZ22Wb34RliWJd63zcPdOOGUUEdxPKSTJlIJQwgjtU5b97r9RFvDsLMkF4sVsUFYFMJge+IRGn2IM9CVQsI0UKlaOLVUFCLQhHOYpMv6bQTyMxN3jKPvlRf/xXJVZKHKmxP1GfBz2qoNtOh9PuG8D2F5tgS5tifn5XiE1i7PDMMQopmKGo+gHs6GZdqKKgMlb/S1F23Aay/aEPtaaV1AFRiXbB4UZa9xo0C60gl8//1XOa+jiiv/5DYcml7Gv9x/BK+/ZGOI0zZ6IzIAeMX56/CK89fFuj4ilTBRrlZCI3PEZi9p1ojrJzRNyAB37tTN457cyRZl2lKT1fM1Bwg6tgznsH6gC0dmlnHbY8483uCxVm4kdzqiHjys2Gkr3WNqLqYqZr71ii345Us2ij+nkybGerM4PpfHw4dnAATH7dzyuvPw9iu34sJNg/jp/ikA4Zm2p0IO9HXIY/JOH9EWsMWik4tFDDTp4O2iTYP4/JsuacrPVqFYgCdOzGM+Xwo8AJ6JsN6W2TyUwyv3rsOmIfvwM2o8Qial7ouCHbkkoNIcMdaXCTzETydNsU8EgPM39oceQlN003y+DMuypHiE1h3URyWK0zavyfr3I6dxt58SmdFSpm1Io/K8xt0blmm7JPZT9vf0ZVN4y+VbYBjevQUdIp1cLOLA5IL4fJaKFSwWyjVzeLHJIiXh57QVv7+Bor+qnZBRZ3+EvOqg6udGsEZUm7FoG0TnHQExqxpa6BXL1dBuo3LmFOXMECSaaPNmlVwWwHtaNpcvoVK1PNmA1Fxl55oe/MHLzgIQnId05c5R3P0H1+Fa5wRfnbiohFwbj5APdlISOaWcRobyetVNFL2/ajzCHqWDbDM2/P2aybPQ7HgEZYJQu5PL6J22TolOwCLylx23wjfvPwKg8cIabYZIZJyL0B0+KO9YZVpkwtXfiIxcxhsi5tkCXkdw3M+f7qW+bDL25rA75L1ZKlbEpn+zFPUQtUxNfi1BmbZBjbbUE21RwtVCpy2NP6mE0fASPdM0xCGBPPYec8qv1/aH59nVg/zMxN0Q02ZTPgiRD93kjYL6OQU5bXW/g+6/qAcStGA9NrssBP5OanjkirYUj6A4bUMybWlObFTeqLqRulgS1Or52YZh2Ict6QTe6XQQ/8wP9qNcqUpO29pn6OJNg0gnzcBGZ42CBPUw0bZYcQ68pcZ9rmhrP6uq05Zem+7wzc+51AzkDWEuncC2EHcbYRiGaOjywyfp8JU9KXFQ16srXdORsy2XTtQIXumkiS3DOSRMA//j/zsXH3nlOTVrPWoc9JBTnh50KN2XTeFCp4xfxKeFZNqeqqNCSR6TdQ0bCXIXNjsDuhWscSoVLcv9LPwgk0R/V7RnzzQNfPqNF+KD1+8BUPvM+glE2Zp4hLBMW3v8I+OOLo5HRT7EuHDjYMBX2tDzs1AoexysUWK5Wk0mQiMyWrNGqaKkA++lkizaauIRhFnEx2mrE22l5q463Ca/7uf1x686Bx955Tmer+vrSooKqh89Oen5N53btlVOW53ZqFm/X80eJo1kerEoKjb9KAVk+zeCNX0cjxCFzhtNmFWNLMD45dYQ3ngExWkb1PwjXSt2yrk0lmXn38yJbMAU3n7lVrz9BVvxt295nnDPElFOjtTyro2OwyowHiFk0xC3ERngLgCoBJBOIXes6YFcnd7oTFv7d9nXO6vLtG1SPEJSjUcIbERWG83hLiL9349fff4m9HelhNDS6PxPVSxaCGlEBkRrtkWcrCceocZpay9mo+bZEvRexf38R3sz+OQb9uLT/+WiWN9n/87gTRm9zwnT8DghVXeGH7T4y6Vrc9m8mbb+wqQoSyanrfM5Ntr9FcS4U2I63p9tWCaWDB0SyLm2x5yYm7X90SI24lJvIzKg9vAEcMvx1LJw9eBGdXltcp6T3UqmoHoQE7WzN4m2ByYWfX9WO7ly1wg2DnXh+nPHAUiNyJxKC79MW3oNNMdFzXsPQ93IXCI1+VqpWHfjZZsxmEvh2ZNL+PZDRwOrfv7g5WfhwQ+/RFS6NBNap5RDDsPpwFtuRCYybX3iEWhc07mq+rtSyKZsATjOwWA9pJLuOHXOur6aeKQgrtplR07QmoxF23ioz2ScjHodm4ftqBE/d/bX33U5fvg7V+PGyzZr/329c4BMTenCGgoS9LmHZdq6Ttv6Mm2DRFtqqtbsQ45W4UYkBOfaRllvB6GOP1HjEaJm2sYxJ8jjxwUhTcgAuaLOGxnVLGfiSoiTaau65HUIB6e0lxWNyOR4BIpl88u01ZiAXKetj2irRC75YRiGOEi6PYZo2+x4i2xS/57ImbaNQjQic95n2YB1IMRt2+yMX9pPTWiayzIuvKphGkpWGuDypUqgmCMLUrLTtlK1hAtWN2DpGg2og+4RJ7cGsMXGXDqJP3zF2QDs8ul1/VkhFEcZlOVJJJM0hfNKl90bllnqvg7/bE6/TTAtTmhgI3G2K53AluFuPDNlb/qb6rR1TudKFbe0eKWldH7IXbOBkHgEzeRHi8ighXlvNoW3XrEFf/6fTwFovBuyNtM2vPxZbWoQhOiGGzGLFqjNtKUMzo0xfgZgv1fTi/W5cuopiwZc4W5BEt9ml0o4uVjAttEeIcr1ZJKejV5UtyktQHVO2kyAC1emK+U90abPMddCp+14fxZffOul4gS70diRAfOiUQzgxtwE5cWtBPmZibsxVGNKAP9mG2FO23dfswN7Nw7gql2jnr9XD8uiuoEpz4sWztmU2VENjy7aNIgf/+6LxJ+7FDFwuaSPyRHPqiLarnSMlefsdNLErrFeUc7as8Kf3Z1J4u1XbsOf/scT+PKdB8U8rVuLkDu3FZDTNmijLf97KmHUfE4npEZkMltHumEYeiEqm0rgC2+9FAaaN88T8nx/3vqBWN+7b/uIiGwBsOL74ExDdfav1Gm7e7wXH3v1Ob5u6bAIHXLaUvVG1AODnMbUoaMep628pg/KOH3HC7cimzLx8vPXRv7ZncyFmwbxnYeOhebakrAWNRZIRRdDp6OmEZnPAUNa2RNEaUJGyCJgWBMywJvfLu9BOroRWUDVhi7r3w+1sgxwnbaDGqetX88b3e+kdd58oYwTc/maA0exto5wnesGuvDUxALufHra8/eT87UuUzdTtjVOW/U9kefxRqFmD8vu5QMTCyIbXkehyRnN1H+EItYYPZ03mjCrmmTCFO5IXXSAjLyoOiY1IvOcUmozbYMbkQGuCJUwjZrFp2EYnsYnUSbVhGmI093R3kxNeagMiQJhTo/ugMWl3yY4W+O0dX/HrjF3EdmM0loSJGadE9Rl6bU3Lx4heiOyep22APCWy7eIRVqj3ZC9orzHyXWMEI/QLS0Ag5hdLomyFnK2REGNRzjkOBDiOm3pvWqVcAG4go/83rzlC3fhxX/2IxydWfa4+UakDVlUwYFey6hmUykLN2sCRFvxrDj3n+ho3kKnLQC8cNdoTXRKo6Bu37LTlhpKrmuS09YbjxBvY6gengD+G5Nap633s+7JJHH9OeM191Sf8kxHbkSm5Hk1o1KikXSlvWX3uiw6wJs/XSxXxdzeG1BlEAV5IzXcnUbCNLBl2B67GvGMvWqvnTt7/8EZIe5Edeo3i1REp63biCwhNSLzOm3H+7338+bhbvz4d6/B//apfHj+tmFcpmkW12jkzzVqni3R35XyOOLYaRsPdT3SiPv9Tfu24Iod8ZruERuUEvaooi2t4wrlKso+opRlWVpRKQwa34e704Eu2os3D+HPf+XCwGqc1cRF5LQ9NAPL8h9/KI4saoWJinqo7SeY1Tptg8VdNdM2isGB5q6NQ12RMvrluU4WuJpR5bRS0hEakcWposwplWWA5LTtrs20Lfhk2urMSsPdaVywcQCWBfzRvzxSc//FqTQkp21RcbHqnLatzrRVnbbFJsYjLIl4BHcPRY3Z/Gh2XIRw2nKmbSAs2jINxxXPgh0hsuhyVGpEJou2ugFC14hsyjkpI3HuuZO2CNWXTWonzbiiLeBuBtf0ZrQCIRG1BFQIc5oyb79NMC1CqOujvLnfLYkzfREzpeKgOm3pGhOm0bSJraYRWQTRVp78aOEQJtoO5NJ46xVbAACbhuMJl2GouY4L+fD7Iyy3lTh40m0gFqfk2K8R2cYYmbbydTZLtNfRq7j3AGD/iQVUqhaePDEv3t/ebDOcttEybSnHizaGi23ItG02VAI62aZM2/hOW9exQSz5NIhThb+gz1r3O4ioTW7UzX0nRSPoUB0zurJGwHU7LhTKnrFspc+BPC/QZm3rSLfzs1f+3m0cymHzcA7lqiXKs9td5kprofBGZNTAxPCsUyzLEhU6OjFpw2Cu6U7aMNJSPEI9OcEv3Ok63xsdc3S6o445rZzTdaxTRNuhgEZkMvJYvugTkbBcqoi1T5wIg7PX9iOdNGsqLE53zl7Xh3TCxPRiURhidKw0HiGTTHjGdv94BP2+SKXGaTtDTtvwdS6NHxdEyLOVv36hUBZ72EwHVcvIRIlHEBF9ceIRtE5bKR6B1g0hmbbyM2wYBj7+uvOQNA1879ET+LeHj4t/K5Qr4p6LskZbr1SAkYN6UiMUtjrTVtUSmhFHQJ+laEQmRU6ExSOIe7pJTlv6/E5wPEIgnTmiaPgf/+N/4PLLL0cul8PAwEC7L4cJQG1+4Ye8iVsolIUYWKi436cTA9VGZIuFstg0UkfXg9N2TIBfF1NZtI1q9++SxJxMqvZkkaDXFbbxFtlbWqetfsKkAZPMNvLr2y3l6jXFadvldQ/K19is0+RETTyC/wLCbUQW32kLAO+7bhe+9PbLRCOaRuGKRfa1uI3I/K+pJ60XbS3L8oiVzzn3eRyXLeA93bUsS1rMxnNI0mKtlRs8OR6l6kSpkBB3Yi4v4id6MknP6XvkRmTS4YyKN9M2SLS1P1s6NKBO1o1uctdOVKetZVlCtFU33I2Cyu0NI76wqR6eAG61hnr/yo6f3kz0ZnnZlOnJ4Y7ciEyJsOikJmQ6aBxWRVv1faLPa7FQFuNWJmnWNB2Ki7yRoWf8dRdtwLbRbrxozxq/b4sFOQRprm13mWsqciMy10XUJR2gn1oqiX9TS0w7Bfpcu9MJbBuJN6cBwAt3ua7O02msbQWNzrRdKaobMqrTNp00xbOy5JN7T3m26YQpKt6isGk4h3v/8Dr8rzfsjfw9pwOZZAJ71tr7i8eOzft+Ha23/fZdUZCf2+iZtn5OW1ectCzLddpGWJ/QwfNlW/1LxmV6PU5bez7sxCZkgDvORsq0jTCOdil78nypIv5bPrgOc9rmffa9e8b78O5rdgAAPvL/HhHVL1PO2jOdMCOtteR1adI0RBZ+YKZts0Vbv0xbcfjaSKet/TktO3sn2TC2PzTTtslOW2cNfHKx4Fshwawi0bZYLOL1r3893vWud7X7UpgQVBefH6ogRbm2ciMNnRioNiKjU7JcOiEGZToN9isz3TjUhXXOpBxVtCWx2BuPUPsa50VuX1g8Qnimba3T1nutcjmu3BRHLdNtBG4gfNlzjc1c3K/YaSsybcMX/KZp4IodIw3f7KlZmkJUjBSP4L03/uYnz+Dcj/wHfvC43SGbHOWbY7qDZQfWUrEi7uO4+ae00YuSJ9Uo5OdqsVj2nBYfny24mbbZpKeBlJ8bo+bnBzhtaazIpsxAJ9egEG2Ldll45fRrjjMiRFt7/D25aL9Ww2ieKETPTF82VdORPAx5U0X4xSPIn21Uly1gu0I8EQ4Ry0SzqYTn+zrdaaseWvo1zuzvSsEw7JL+RuatpzWi7UvOGcdtH7gaeyM0jYnClUpZd7tFW8p7pfWRH3IDFbkR2XEpG7TZzVXqhV7juev7Yz/fAHD+hgHxzJ1OVQ2toCbTtoVzug714C9qIzLAFSd0a2vAzbMdyKViGw56s/G/53SARDE/IRxYudMWgEdE9xPMapy2PnsQmteLlSqeODEvDg6jmBM+8JLd+PQbL8QbLtkY6brl/HYSJaOuOVtNtEZkzoF2nHgE53vIrJAwDc9eNEwb8OsxAAA3XbMdO9b0YGqhiO88dBQAMOHE/Yz2ZiI9k/KYsnWkWwjzetG2NZm2Yt+qaAmuaNy4sUZkD5fKmC+UISdNHD617Gu0q1YtEcvUrKra4e4MTMNuJE+RF0wtnbly0/DRj34U73vf+3Deeee1+1KYEDIRnbaqIEVNbMJKS2gxThtGGnBHejJCLCExy2+DaBgGfu3yLVg/0IWLNkUrfyH31WhP1tdNXChXxPWHxyPUZnMSfqUpNRmK0uJoy3BOTMbNyESkyVc4bYt6d1UjqW1EFu60LUifyVwDFpErRRaLZKdsPY3Ivn7vYQDAvz9ilwg96wghm4fqd9pSJm4macZ2zJIImW3hBi8jOWkWCmVxPwLAifm8J56kL5sSHcijuh6uO2sM431ZXLWr1rFHi841vdnARSIdEswslcRzArRW3G42FI9ACywav0d6Mk0TheiZidPxW/3eBU08gjquyJ9TlDw7GXlMjpO7Kzu3Oz7TVoiB9lzn55DpSidwlhPb85+PnQDQmIMLndO20Vy+fQSybthuoZMcN2EulKLUQKVLyho84WxwO9VlC7hZyefVEY0A2CLBr162GcPdaVwYsayZsVHXI9k2C0592ZTnmuI8592iXFsvME7X0YTsTEdtaqiDxLqoDTh15KT5wW/MVQ/Q/MTdgVwalzpO2Q9/6xcA7MPmKHuWoe40Xrl3XeRxnw6UK1VLrEnbPWf4IRzIAXMJGTmirFnVeASKRhjo8h5w6KohZfwqTO3vTYj4G3JMk2FrJOLBuuyw3jnWIw7kg+IR1L4qjUa8J0pkRFE6fG0UrrheEXvjdNJ2KVsW8PTkovb75PukWfd0wjTE5zHBEQm+dOaI0iAKhQLm5uY8/2OaT1iHSEIVpKhEuxjSpTCnlI67om1aiCXk2g3a/P7mVdvx05tfFLm0nETY0YBMW/lkP6zsin6ebmEZ3Wnrvr5kwsSlW4ZgGMC20filhWGombZBE2yjSCpum6AFhPhMPJm2rqOiXdDnXK5aKJSrbiOymJm2UwsFPH7cLk2jnMXnHEf5lpF4Tlu3TKniacgR10HS3YZ4BMMwPO+PR7SdzXviSUzTEBuzqE651128AT///WtxnqYRDv2MMPcl3W+nlkqiBMku2zx9plw1HsFtQtY8UWjvhgFsGOzCDeeOx/5eEVMiNSJbKoU3IovjtLV/T3ynLeDNGe10p63aiDNoLrhihx1FdOujjmjbgEoGuWQwatl0XPpzKZy3YUD8ud2uqZQZLx4hlTCRlRxV9HyOxaymaCVvvHQTXn3BOrz58i11/4zfuX437vnD6xqeTX+6k0l6o13a7bQFvCLLSHf0+9ZdH/g4bTtgXbjaUJsa6miESULeN/mt2WTRNWkagXE7v/WinQCAu56ZBgCsj9m3ISq5VAK0fD65aO9J212d4UeY07ZccavDomXaeuMR/J4vXTWkjF/lE0HOWIrhon4KuqbBOsb6suIz2rGmVxzITy3UOjtblWnr77RtvNNXFtdpH9rflcIOJ1bSLyJBXnM08/1wm5HlQ77yzKUzR5QGccstt6C/v1/8b+PGaGUOzMpwXajx4hGOzUYVbb2nepPOgCs7bd3M18Ztfm+8bDOu3DmC685e4xuPQK+pK5UIze2jiU51HAP+Tlt146i+vs+/6WLc/jvXxM44jYKaaZv3EZYbiXrKGXRCnpWESMAu6WhEudZK6U4nxUJhLl+SGmX5X1N3ptYV+LMDJ8V/P3liHvlSBc+drDfT1ikbk5y2cRpyENedPYaNQ10Ny5GMCgnh8/myiMAAbKetiCdJu52egcY4wmnsGQ9xqw0Kp21RZFbHyc5bDdCCd3LezqA65hyUre1vTp4tYLtffvy71+BDLz0r9vf2aJ4pKudTI1ESpiHGk5GIDXAIapQHxBt35GiSlWQCtgK50sSyLDcqJ107513uxAzQRisoFiYqcolePeNWVOSIhHa7ppIi0zYkHkFaP8lz87cesEtKt9SRFdsqzlnXj7/4lQuxcWhlwsqZWL6+UtRol04QnEi0TZpGrLV8TnPoLXOKnbaxUQ/qdDQkHkF22vrsoeR9UNh9esWOYVzkNJwCgA1Nyts3TUP0oqCD7E54hnSkQzJtl6TPOE48wlLRriYkx/WgEkvnVvjV3kOWZYVGMqwdINHW67SNGuuWTpqiomnnmh5JtPWPR2j2vO/3njRDNJYrb2aW7Xu0N5vEdsfkdWBCL9rK90kzM37XcDOyUNo6otx8880wDCPwf48//njdP/9DH/oQZmdnxf8OHTrUwKtn/HBP08LiEbz5QkcpHsFpROY3WKmnelNSiYS6gWtkQ5cbzh3H37/tMqzp9Y9HiNMlvsdnYenZBIdkN6lO4u5MsmkOE+G0FfEIVe01NhJV+A469XU7k9rXtVAsC/G+naKtvJhbyJeFqBgkXugEpp/tnxL/Xa5aeODQjJjctsT8zOV4BDoVH+qO/x5duXMUP/7dF4mmPa2iR3LSzCqZtgt57/tLjtBGLKBfeu5avOaCdXjblVsDv040IlsuiQ7Wp1OeLWBvqHsySRQrVTx5YkGIcmsHmlt+Xa8gQ4LEnCfT1nGTaDYJcoZ5Pb8HiOfkksvWg1z4nYC8gbebGXr/XubSLUMeB19YbFAU5I1Ds5y2APCCnZ0j2tJ6qFwNPgyXs/DkEve7nplG0jTw5n1bmnaNzOqG5sxsSt9PotVQBuVQd7wqIDogXQxpRBal1wFjkw2JRyhVqmKts5L1Nu3vkqbhm2st99HIhOw/DMPAf712p/hz3Ga7caDnhyKj2j1n+JEOiUcg05BpRFs30/qpann3FOrzlfUxO9G10H7NV7RVnLYT8/GctgDwmgvWY9NQDpdvHxaxCkvFSs0+nITKZmW4Em5khF+mbeMbkVmWK3j3ZaM4be0PJuiZbAQkvrPT1p+27gw+8IEP4C1veUvg12zbVn8n90wmg0ymc0vBTlf8ogNUaEG1a6wXh08ti0iDQmSnrdOITMq0VSeJZmUDqo1YiMUYXeLlbN5K1RLZm3LpiDp5yQKp3GikFdB7OV8oo1q1fHMMG4m82U+aRuAiiBZylaqFUqWKWWdhnmnx+6SjN5vEfKEsmjUBweKFLh7hpwds0bY7ncBisYLvPnwMgJ01HHfzIeIRyhVML+pPxTsZ14lc8oi2JxcL4pSf3t/zNwzgp/tPYuea3tofFJPx/iz+/FcuDP06yjL1Om07W4iLi2kaOH9DP3524CQePDyDo85Cel0TnbYrgRywxXIVhXIFmWQCSyXHaasZH3KZBE4uxs+0pYPChGnEEijlTNtOj0fISo4NeZ7XjbPdmSQu2DiAe547Jf68UryZts1b4120aRD9XSksFMqiiqdd0GsulYOdtnIWnunMmTTnvPHSTR3ttGXaiz1GLrd9vUSsH3RF2zioxg4VcVC9itY87caNR9ALfXJD2JVUitC+KHitH91pCwBX7xrF+Rv68dDhWWwf7an72sKg+Z6as7Y7UscP2svRWlnFjSlIRjoskddPy8WK5LT13gdBTls5dsNvT0lVXCfm8qhWLSE8xjlY/9DLzsKHXmZXalmWha5UAsulCqYWCp61ScvjERTXczNEY/l9pYz7PikeIcxp2+xDCDcegZ22frR1ZzA6OorR0dF2XgLTBKLGI1AswM41Pbjt8QmRuSbKEvwakTkLslLFQrFcFU7b0d5MzSTRyHgEGb9SoSVRbhs+WcsTxFKxLDb7QZOXvEDpa/HGnt5Ly7KF21Zn2ob9HnmBVChXhZjXCbllPdkkMOueEANhoq23Sd3Bk0s4NL2MpGng9ZdsxBd+9iz+zWlGVs8mXHRxLVVXZamg60SueDYLlgU8rXSp/+BLduMtl29paQOewW53UUyfYe407GZ+wcYB/OzASTxwcMaNR2iy07ZeZGf7Qr6MTE8iMEPN3tgsRy69E9/njJNqE44wRj2ibfvHrCDIwblcrIp5IJUwfDc4l+8YEaJtI5y2rWhEBtiblC+/4zLMLpfa7sqjzVspxGnrbvbs96grlUCxXEVXKoH/eu2O5l4ks6qhMbKVGfVB7BqzxYQtMeOfun0auRKu07azx9lOIqwRGcVU9WaTwoBSDyS4B4ll8j4oimhrGAY+/6aL8d2Hj+PVF66r+9rCoDWn3Ny3E6G1MAl3Kksxm0wnEybSCRPFShVLpYrvnsLPVQog0jpitDcD07D3/lOLhbpEWxnDMDDSm8ah6WVMLRQ8MXOtEm11DbQBbzZ9o0iYBjJJE4VyVVRp9maT2DZij7PPTC3CsqyadWszrkUHOZ9PauIqGJvOHFE0HDx4EA888AAOHjyISqWCBx54AA888AAWFvQnA0z7iNuIbOeY7YA7PmufnoWd6sju0+ViReTRjPaka9yCzXLa+pV5kNM2ysY0kzTF4kZumECTV1r6d/l7iFZ3GM8kE0KQn1sutSTTVp4kwn6P/N7kS5WOyLMlSIQhYas7nQhc2JIrkO4LctleuGlAdMOlBUs9+cVyPMK01IhstdDj04gMAJ52Snx6nPfQNI2Wd0wnp225auGE8zmdbk5bwBZtAeDBwzNuPEKHOm0TpiHEWRLSaXPSpflsfuvanfjlSzbGjv6gZz3uuLOqGpGl6dCnIoTvoA3eFduHxX/3NODwIpV0x85mxiMAds7q5dtbG/+iIymcttEbkQHugcTbr9zquccYRoViWTrFaXv1rjX43K9ejP/26nNifV+Y03baaRS1mg6q201Ypm2j1tsUbRHdaRvtXl3b34Vff8HWprpfe5y5nxpbdWo8AjWjnFoooFKtrdxYLkU3HxGuE7vsGz+iukoPTC7gMz/Yj6Vi2V2LBYw9qYQpBNpjM3k307ZO0RaQezN4m5GFmccahZ/TlipqUg2+h+gzPU5O22xK7I8KZTfiREY9CG4WtJY7tah3gDNtdtrG4cMf/jC++MUvij9feKFdovqDH/wAV199dZuuitGR8RE0VUi03Tba7Z6eLRRCRVu7C7uBUsXCYrEsJsiRngz6lZPzZm1+s1J5uYxw2kYQbQ3DQHc6gbl82ZNdGjR5yYuV3jaIkf1dKeRLBcwulyJt1leK3IgsTLSVS0EL5aoo0SEBrZ2QyEjCVpiTTnWK/NTJs718+wjOW9/v+dq4ebaA+5kVK1VxqrmaNjBy5u+sUuJFi59GNDyql650QpxoHzllC/VxFsCrBRJtnzwxL07n13Wo0xaw5wO5c26Q0/b6c8Zx/TnjsX8HVUCoc1EYq7ER2XKpEqni4sJNg6IMsRHxCLSRMo3OOJRrBWmRaRvSiKziXT/9xgu34e5nT+GdL6w/aow5M+jNdpZoa5oGbjg3/hjcE+K0nZgjsadz56pOo0uJpVNpmGjrzA9BYplHtE11jjBKhx4nFykeoXOuTWa4x3asVi3b1bhGMTUsBayL/OhOJzC7XMJSsSLiR8LiET75vSfxrw8fw2hvBmev7QMQvs9b29+FE3MFHJtdFtGI9TptATcPd1Jxd7qHn63JtC1WqqhWLZEZ24xMW8A+0Dq1VMKJWRJtk579yqnFYo3pjK6l2fczGYfISMTU0pkjioYvfOELsCyr5n8s2HYeogQiYiOy/i73pOfobF40IgsaIOST9Ckp07Y3k/SU1Ddr8ytKhZRTqcWYneJpgSIvhIKyYtsZjwC4C7LZ5VJL4hESMeIRALn8xnXadoIAQpshym0OExSFk7Ro5wffceAkAOCKHSPYMNjlWRhvqqPTtnwfHXc2MM3swt5ouiXRlrqgqjSiDHsl0AJEfOYd3lyqHtb0ZbGuP4uqBZHL3ckbYfoMSLQN61ZcD7QBoqYZkb9vFWXa0lhcrlrivQx6D9NJU1QIDDRgPKaNzGAu3dTGGJ0ErWv8mscQ5NCh9+gtV2zFZ268qOMjN5j2IzciW83Q/sCvEdlEzK7zjByPEJxpu3LR1v49Qfs/TyOyDhJG3UxbikfojMMPlYRpCIcplcnLLBfjV1HS1y4WKr6NyMjQVXDuIWo4dXRmWewnw/rB0LrqieMLwuAVt++ADJXkTyk5qlTR0minq4rcSE9225aaJBrT53Ri3s20Bdz9yimNYNqsa1Eh4xDFizC1dM5ox5w2ZJWBWYdlWULg7MkkxUB8dGY5khWfRNHJ+YI4FRzpzcAwDE9OVdPjEZSShsVitImHkMUnYjkgdkBeBLRDjKRBdWqhIF1n84aROPEIgLcJHol5nZBbRiIMOW3DBDy6L6oW8NTEAk4uFpFOmLhg4wAMw8C56/vE19aXaSuJtk6W9GpqykFOmoW8G4+glkm3W/ii++6II9qejpm2AHDBpgHx32O9mRXl2TUbEq7UeIRGuqBfcvYYPvqqc/B7N+yJ9X09mSSGu9MwjJU5R1qB7HQ6NktO8uDn7fdu2IO3XrEFr9y78kxB2kitpuqAlUKvuVyJ3oiMYeJA42OnZNrWCwl/S4Va40ih7B7ox+k6f6ZD6++8T+TETINygmkeCYxHkPZBnSSM0qEHrSs6eQwOyrV1BdTo7y19bsulsm8jMrVClb5uaqEQuXKT4rceOjwDwDYvraQygATfqYUC9k8s4GPfeRTTi0VR0dL0RmTSPSJX7jZrHqfPlMR6Mn+RaeeUpjldqxqRub1AitrYDoZFW6YJiEZkAU7bfKkKeia7M0msG7AH4qMzyyhGyJKhBcQBJ78ymzKFkCuf7jUtHsFZKFSqljiFAuB2io8o0HSLbE73vaITP921y6VArc60BdwJ8/hsPtAR3CjiNCIDvFmtbjxCJ4i2TqatI3CE3Ze5dAKUBX/Xs9MAgF3jPWLSPFeKSNhcRzxCMuHmJZPrhCbM1QAtju1MW/uZ2+VkY4uvabOzVYi2pyjHuLPdk/Wyd8OA+O+1A52ZZ0vQczeft8eGejYnYWRTCbz58i2xs6YNw8BfvfkS/OWbLulotzJgj7M0Pv34STu65TzpIEnH2ev68JFXnoPhBggltJE6o0RbpWzSj1KL8ueY04+eDsu0rZcgpy3lYKYTZkcc6K8WwhqRNS4eITzTNtPhTluik65NhXJtJ+ZrnbZR8mVV3PgMKR6hphGZ19BF98zUfDHyAToZvB48PAsANdEOcRntsa/xxFwe7/7SvfibnzyDf7zrYNPiCVTkvZgcKdmsRmj0mZIQS3tTEthnNE7bVjUiI7dv1YKnwTTj0rkjCrNqkd2OfsjO0lwqIU79JufDM20BV+z80p0HAUA4EAHv6V6z3KhZyV0qL2LIaRs1t69bkxP1gHOCeM66/pqv9zptWy8CjTsT5rHZfGsybU3JaRvh98j3HpUoDfW0f2NPiznKXw4Tbe28Y/tr7nrGFm3PWeveD5Rrm0sn6naL0ILScg5PVpMAQs/XfKEsJnfqNE20M9MWcLOUqQwpqvt+tUG5tkD8SIBWQ89dTSOyVGd8NhdtGsSLzx5r92WEYhiGOLj84ZOTAIB9UrOxZkOu+g2D8Q+sViu0YSqFOG0LLSplZE4/aPxe7Q5U4bTVuEInpI7zapd0xp9sRNF2pXuudY4xJKi5lMdp20FRHuq6vpOuTWW0199pG9Sg1Y+ciEdwq9/UQxHV0DWz7Dpto5qA1jo9E9wG5Csbq6iq6QdPTOLJE7YJ7PCpJaFDJFswj2aVrF9AakTW8Exb7/tLOoLIk9VEE7TKaZtKmOIZ4lxbPZ2xU2FOK8QAFBCPIGe/mqYhBKOTi0XhlA0aIGhgf+zYHADgrVdsFf9G328YbjB8o0knbKeRZdkCIble6820lUXsBw7OAAAulMQQov1OWxJtl8XfdUojMvtaXKctNQMY6W7/BkRdzPVmwj+77kwCC4Uy7nzazrM9R3KyXb59BKO9Gbxgx0jdG49M0vRsagZXVTyC7LR1RNtxr9O23c5Wci5boqJgdbuX/DhvQ79oarGuw522aqZtUCMyJphsysRyqSIW+fu2jbTsd99w7jj+tHI+XrhrtGW/s90khWgbHDulNiJjmKi8/Py1sCzgyp2te5abAc39C5pGZOS0HenwCJpOg9bfah8PolFO20u3DuFv3nyJp5pMxTQNpBMmipVqZ8UjKPvNdKJzrk3Fddpq4hGooXaMvR2toY7PFsSaV20CTZ9VqWJhqVgWYuDUQkESiqM5bYmVRklRPIJcjn9sNt80p6uOTCqBxWJFm2nbjEZkMqQj0H5FF49AB8WteC+GutOYz5dxarEInDnLu8iwaMs0nDhOWxItRxw35MmFAjY67pkoTlsA2DjUhevOct1J5LTtySSb1qSEnEbLpYpHnI6baSuLTwBQrlTxkFP2caGUFUl4GpG1oexfjkfod0S+ZsYjyG6haPEIVH7jignDHeS0FX+O4AK17/GCcIZQd1XAnth+/qFrV5Qfar9X9gSdSydWVUkkvZ+zyyUxluyW4hG604m2Z6uqTRiiuu9XG7l0ErvGevH48flV4LS1x0y1ERmLtvHpSiVwyhk/to10iyqMVpBNJfD6Sza27Pd1AmlnLiwHiLaVqiU2zM0u62ROPzLJBF538YZ2X8aKEQ1+NZm2ogkZi7ax6ArZ17lxZCtbbxuGgWvPCq82yaRItO2ccU5d13ey05aqWyd0jcgC+qr4QdVKR2aWANhrdHUPL39WcgO0yflC5MbW4/1eY0CjRFvA3m+WKhaOzeTFtbdiHpUbaBPFJjciI9x4BPu51ccjOBnNLXgvBnNpPHdyiZuR+dC5IwqzanGbdPmLtnITMgAYctyQ04vFSAOEvMl+y+VbPQINDT7NdqKSq1MuF4qbaUuvY8FZXD5xYh7LpQp6M0lsH+2p+XpZWOtrQ/n3WikeIV9Hh9G4JOR4hBhO23yp6sYjdEDZv9q5O0reqvw1hgGctdabGblSUVJeUK4mly3gbsqOzriO751remv+vZ2oWcqnszD461dsxe6xXrxoz5p2X0ogrtPW3mBGdXcwtWSl9+z5LYxGOFMhp20xIB6hKAm6nGnLnKmIUm1dpq1TDs6ibTzCMm3nGuS0jQrthTrJbLCaMm3p/j+hcdrWsy6iPe/RGfvn6XpkeEVb9/cuFiuYdiojw9bJa3ozkLc+K32O7ZgU+79/+7pdAICjs8stddqK5u2S01Y0ZG9SIzKC4hEGAuIRKKqhFdU7Q6IhGou2Otq/s2VOO2ThzA9aTJG4Qm7Ik4vFSPkpNPD0ZJJ4wyVeZwANPs3uHk9Oo7wn05acW/GctiT2PnBoBgCwd+OA1iXcbqctuakmFwqioUzLGpFFWECQ0zZfqrjxCB2Qz1YTjxDFaSvdQ1uHuxsuRMq5YJ0gbMeBnhsq5enJJNGfS6Enk8RCodz2PFugVghvd1xDM3nD8zbiDc/rfOejnGlbqVpikXy65g03E3n8uJxF26ZDm8cgpy1trgCOR2DOXITTVlPKP7ngZtoy0aE+HsulCizLqonlalQ8QlRoL9RJwqi6ru/kMZictid0TluqGK2jEdkRx0ihM4IkEyaSpoFy1appgHZo2v6+MBE+lTAx2psR173S57g7k8SHX3E2FgtlvPnyLfjT/3jCLs93RMNWZMPrnLZNa0Tm47Qd6qZGZLXxCM1y/epws3W5EZkO3qkwDScTKR6BGnbZX0uNRU4uFEV+SpDTdv2AHaHwy8/bWONipHiE5jtt6XVK8QjO64rauZ4WlyT23u/k2V6gybMFlEZkbci0HcqlRZbUwZOLAJp70i1PWNEakdlff2qpJD6XTohHqEu0le6hs9cFd2avB4/TdpWKtgRtFMb6MliYLDctyzoOahOG3GmaabuaoOduPl8WudyphNGyjebphLz4f/42Fm2bDW2YgjJtZadtss3xMAzTLuSmSCpUDr6mt7OjfDoNWn9blu0IVNf9rRZt6fd3kmjbo/Sq6KS8XZU1TqbtyYUCypWqqOQA6nPa5kQ8gr2uUuPBiEzSRLlYwYTSAO3QKTtWIUpF2tr+roaJtoC3J05vNon5fFn8/EY7XXWQZiJHLUbRQeohJzXdNQ23/w59XjqHq2uka/79PCSyddlpq6NzRjvmtCGbjCDa5tV4BHvAWC5VxOQfdEr56y/Ygv9z40X4vRv21PzbFTtGsG2kG6/cu7a+FxCRjKZcaDFmRqIaj0BOW12eLeBdoPR3tV6YMk0DY/32JLnYkniEeJm2dO9R2Xw2ZXaEi04VGdWDBv33uK/3nHX+TRnqRb6XhnKrS7RSnbR9QrTNav+9HdRk2nbAfXimQ8/dQr6MgyftTcLGwVzb849XIzQe7xrr6YhqhtMdOsAsVcPjEdJJs+4GlQyz2qH1VqFcrXGmc6Ztfcjrb10zspllW2RpnWjrOG07KB5BNWN0kqCsMtydEQ1kTyol8bSnjbN3or0sCXyDPnsKEttPqKLttL0ei7LPk3snNNoxv07JzG1lpq0nHqFJTls5urGvKyXWCeRwPaWLR2il07bbP6aBYdGWaQLk4JMHIJVFpRGZHFpODqgg0bY3m8LLzlur/ZqNQznc9jtX4037ttR1/VHpStWWNCwJB3H8eITZ5RL2TywA8HfayqfbUYS/ZrC2zzuptaoRWRQhnO49Ou0d7u6MhXk9mbbyPXROM5y20qmp36l4p1LrtLX/PE6ibQc4bdVFayfk7J7p0H0xly/hOWeTsGk4185LWrXQpvny7au70/xqIUlO24B1Ff0bNyFjzmRksWlRERgnnAxPchoy0UgmTDGuqLm2hXJFVLb1t8gAQAaNThJGVbNAJ8cjJExDCJ6qgLosDDnRr1817/j1yaDPS41lmHJ6kEQxAa2VhNVGO+bXDnh/XisybYPjEZrXiEw+ZBgSTltNPEIL1xVDAdm6DIu2TBNwnbb+m4sFRbQ1DENEJByftSeQTt94ZDUxEHGdtvT6FwplPOi4bDcN5URerEounYBh2GUN7SrpVbuENzXTVroHosQwZBSn7UgHRCMAtSfwUZygPc2OR5CdtqssHiGTND3uSBGP4NybnSCQqpuXqM0JmeYhZ9o+5zhtNw+xaFsPV+4cRU8middcuL7dl3JGkHKacpYjOG1b4YhhmE4lnTTFM7AkNSOrVi0hDnGmbXx0zZcBNxrBMNCyaKpOjEdQq6k66dp0UGXahCKg0jPTlYrvtCXUeDAi4+O0JaKJtvZ1J02jpuHvSlmrOG1bMZfqGpGVKuG9fepB/pzkiMUBJ5ZguVSpqZJu1rXoGGKnbSDt39kypx00sRcC4hHIaSsLU8M9aRybzeOYI9q2IktmJaiirWVZNQ7iMEjIWSyWQ6MR6Od+5BVnI5kw29Y1da0i2mZjnMbGJXYjMsVp2yliZMbZRFBOUV8M0XasL9OU8uPVnGlrGAZ6MsmaHLXrzxnHfzxyHC87t7nRKFEY6PK+p50Q03GmI4u2B6ftTO5Nw93tvKRVy5sv34Jf27eZy/BbRCoZIdM2QhNXhjkTyKXt9cFCvgw46VLTS0VUqhYMozMa1K42utIJzOXLNfEIc846rC+b0jZQbgZkyPAzuLSDhGmgO50Q7u5OzrQFyKU6ixPzXgGVMm2jmo90XxvmtKWYEsOwc5L9fo4OMg6N9GQafr+t6+8Qp225OZm2shAvi7a9maRoEndqqegRrwtNimrQQXt2zrTVw7tIpuEIMbMcINo6J3nyyeSQU8pOp02ZDnfadimNyArlKsgEE1m0dV7/5HwBX7nrIADg4s2Dgd/zFik0vR201GlrxotHIJf3vJOZ3CkLOhIZqfREbVigg06qz21Cni3gXVAOrbJ4BAAe0ZbiHS7YOIDbfufqNl6VSzppoieTFFUFcRbATHOgmJL5fBnPTrHTdqWwYNs6ko7TNki0bVbHaYZZbYz0pDG7XMLkQgE7x3oBuI7CoVyan5E66PJpMk0d51tZ/fd7L92DK3eO4rqzxlr2O6PQk00K0bbTD88oIkSNKsiX4ou2XYopIarTduNgDgedqCogmrt374YBJE0Dezc2fm+0dkB12jb/Mwxy2jbavJbziUcwDAMDuTSmFgo4tVjyiLZCQG7B/cyZtsGwaMs0HBqAShULlaqlbfKyILJf3QFkWHH7dfqEl1EybeVOtVGFTBJ3adLcMpzDay/a0MjLbDg1TtsmirbyvRPl96hfo95T7aQ3mxKirRqXoOPl56/D/okFvP6SjU25Hrl0a7B7dTUiA7xjR7uiQsLo70phoVB2yjU7ezw7EyD3eqVqYf+knR++mTNtmVUAjR/lSkA8AmfaMgwAu/T7wOSip/R7cqFxHefPRLKa5ssApMPz1q3D1vZ34XUXd95eqSeTxAnY91nHxyM4ebCTPk7bOHu77ohO26zzntDv2LGmxyvaRhCKNw3n8PPfv7Yp6/5ap23zD6bdRmTuc9WsRmSeeATl/RvMpTC1UMCM4nJt5WEwGYjm82WUKlXeNynwu8E0nKxUdq2eyBIkcMri1WoTbdUFDE1CXalE5G7ksiM3lTDw6Tde1BFNlIKQT+BSCaOpg6phGGLSjCKEq4uk4Q7JtAVcwcgwop1gD3Wn8dFXn4tz1zfLabt6M20Bb7SKuvjoFEgM7/Rn+kwhl06AhmYSuDay05ZZBdA8qHPa/t1Pn8E37j0s4nc6fe3EMM2G8jrl7MwJ579ZtK0PEtTUeAQ1pupMpkcqOZf3wp3ImI/TdrmOeARVbPXbU2SUfdyONT2eP0f9nSM9mabsPWucti2YSzOaPkC0Pm1mI7I+pUG2cLkqoi1dSysOIfq6UmKNzhEJtXT2iMKsSrJS2bWfaKs2IgOAIUVg63S3iBqP4L6m6BOdLFr/7vV7cN6G5gh0jUR22rYiV5cE8CiZoLVO285ZnNNn3ZNJdkRZsfxercZ4BHns6NTNArkNOBqhM6CYEmK8L9u2bHCGiQNtUEuK0/bkQgEf/faj+L1vPIT5fMnztQxzpqIr/aYczUZ3nD9T6Apx2nbq4XkrkRuxpROdvbZwnxH3YMOyLCyJeIQ4jcgixiMowt+OUa9o28y4vSiolaSt0CFEHyDJaSuafzXcaet+TmrF56DzmZ1aKuHUYhGv/9zP8IWfPiM5bZu/b02Yhoi7O7VYavrvW22w/YdpOKZpIJ0wUaxUkS/r89d0DbtGFIGt090iWSUegTpuxulcP9KTwdtfsBWmaeBtL2hvVm1UhnsyIrC8FRPsuoEuHJ5expoI7gh1QaAeBLQTmiDV0812Ib9XA6tQtJUXHJ0q2tJ1qV2FmfbRm01hzsm83sTRCMwqIenjtCU3Srlq4akJO/Kj09dODNNsqPRbbrI0Oc/xCCuhkzJtOxX5UDjT4U5bOryQDzYo1hCIFlVARG1Eph6Sb1/jbQQb53c2g2wqgaHutMhUbU0jslqnLR3OtjYewf7MZhaL+N6jx3H3s6fw9OQinr9tuCnX4sdgLoXpxSLn2mrgnSTTFDIpR7QNiUeQJzi1nKLT3SLkKKbTscVC/NNJAPjDV5zd2AtrMgnTwFhfFkdmllviUvvy25+PuXxJlG4EoV6PehDQTqgJUqeUylOZUm8muSo3+bIQ2qmbBeG0jeG+Z5qLLPZzEzJmtUCOm3LV67SlAwgAeOLEPIDWOGIYppOheISJuVrRNooBgKkl6wg+S0o8wn0HTwFwhfIzmR5pfdHxmbbOM3JysYBypYpkwvREX8Qx5chiazph+laXqe/JxsGcMHnF/Z3NYm1/FtOLRZgGIkcdrgSd07bYpEZkXT6NyABvPAJVJZxcLOKxY3MAWncYPNSdxoHJRY5H0NDZIwqzaqGTo0JJ77QVjcjSAfEIHT7hiUzbouK0PQNKocedEpJWTLDj/Vnscrr/hqFmSHVipm2UJmStgBZPUcTwTmQ1xCNQiVinCPWMItqy05ZZJSQd0baoVC/Ny6LtcRJtO3vtxDDNRpfXOeG4bqksnIlHThOP8PjxOfz4qSmYBvDai9a369I6Bnmt1+l72OHuNBKmAcsCphZsgWypZM8nSdOIdf05aS84kEv5RsCpom1fVwoj0j6tE6LEqG9Lq+ZRtxGZPbdbltW0SAL5c6rJtHX2KzNLJTx8ZFb8/dNTi861tMpp64jH7LStobNHFGbVIqIDytGdtqorstNPKenUmUoahNP2DBBoSLTNdsAEK5NJeq+nkxpsiUxbFm0bgiy+DXSoaEv3H8cjdA7ynLNpuDvgKxmmc6DNW7nqFW3nlt3ct2eczVWnr50YptnIjcgsy3anT3Km7Yogl15ecmP+9Y+fAQDccO44N/WEd13a6X1ZTNMQa+eZZVsgo31s3JiCZMIUr9cvGgHwVkNmUyayqQRGJOd7J/QYWDdgjw+t+vyo6rHgHIZUqhacIQuZBuciy59TX5eaQ2x/blMLBeGu9VxnC522AIu2Ojp7RGFWLVmf7CPAHpDopFZu2rXqnLZJrzC9eAY5bdf2kdO2sz4j2Wnbk0l2xAKAoHiE3g7JtKUJmj7L1YbstO3UBhg3nDuOF589hl/bt7ndl8I4yM/fFnbaMqsEv0ZkstOWsgjZacuc6VBubaFcxdyy/YxMcKbtilAbkZ2Yy+NbDxwBALzjym1tu65OgkTbpGmI6ohOhkwkC848Qg216+m9QTFgfk3IAKWXRpe9BxnpsZ9H0+iMA0fhtG3RtbjxCPaBrDzHp5KNj2egz0n9jKkh9f0HZ8S1yLTMacuirS9s/2GaghiENPEIJG4CXuGlO51AJmmKwaLTTynVeAQ6oYzTiGy10sp4hDjITttOikYAgJeeO46fHZjCG5+3sd2XAgB48dlj+Mgrz8bVu9e0+1LqQsRNZJItyZ2qh7X9XfirX7uk3ZfBSPR4Mm3ZacusDlzRVo1HqO2w3OkH3gzTbLKpBPq7UphdLuHEfB6JhCGyWDnTtj6yimj7xZ89i1LFwiWbB3HhpsF2XlrH0JOxhbDVMgaTyDzviLU0n9QT45ZLJTCDUmSnLcWajTqibVcq4Rur0ErIaduqbHi3EZn9XBWlOb4ZQumvX7EVDx2ewZ5xb+zgYLf9eZBwv3fjAB4/NtdyTYbEY860reX0V5eYtpBN+jttKRohaRqeUzXDMDDcncbRWTt3qtMnPdFJ1RnQzqRM2+vOGsPX7jmMV+5d1+5L8SA7bTspGgEAtox04+/fdlm7L0OQTSXw1iu2tvsy6oZE20512TKdCW1G+rtS6A9whDBMJ5F0DqZU0XZOI9qy05Zh7Fzb2eUSTszlUXbca33Z5BlhrGgGVDK/XLTHoK/ecxgA8HZ22QroULgTHKNRoHU0VWyQ47aePgx0f5D4p0N+X2j9NdKbdr6/M57LDYO207ZVpqRap607xyebYEj5rWt3av9+QBHbL9o0gO50Aj87cBJA65zHHI/gT2c8Icxph4hH0GTakmjbnUnWnKoN9biibadvPLJKDs2ZlGm7ZaQb//G+F7b7MmrwOG272U1xOkMLvk5zVDOdTa8zPnMTMmY1QYfY5YB4BKLT104M0wrG+rJ48sQCTswVRJ7tnvG+Nl/V6qVLir3LlyqYWrDf033bh9t5WR0FrS/U/hqdCjmDSawlx21dTltHdA1y2npEW8dwQfEIXenOmLcu3DiI37hqGy7c2Br3uNq4vSg5W1vpPB5SPrdz1/VjoCvtirYtch6TaMtO21pOf3WJaQuiEZkmHmHBETd1J3my0NbpTlt6jctCtD1znLadiuy0HWEx77Tm8u3DeMvlW3DNntUZ78C0h3Enr2z3WG/IVzJM50COm3LVgmVZYjOnE21Xi8uLYZoJNRw7MZfHjCMAnLWWx/16kTNtTzouuHTCRF+HNNftBCjPVe7X0snQZ7dQsCs2aD7pqSPTVjhtI8YjDCiibS7VGfeRaRr40EvPatnvyyj9cchp2yqRlOjrSsEwIJqgnbu+X7iO5etsNpRpe2qxtoroTKcznpAIPPvss/jYxz6G2267DcePH8e6devwq7/6q/iDP/gDpNMsznQaGU0jss/8YD++ef8RvOYCu6ReN6kNSyXtnb7xUJutUVZvrkNKPM5EMtKCoNPiEZjGkkkm8MevOqfdl8GsMl65dy1MA3jBzpF2XwrDREYuTSxVLKSTJNraGxu5H0CrN3sM04mM9dli0MRcHgcmFwEAZ61lp229ZNNuH4+Tjst2uCfdETmkncLeDQN4zzU7cPHm1ZHxW9OIbAXxCGNOU+P1ktCnkknVOm0vdMrwn7d1dbxnjcat2vXGI7QqjoBImAb6u1KYWSohkzSxfbQb5WpOrC3SidYcRJDjl+MRalk16tLjjz+OarWKz3/+89ixYwceeeQRvOMd78Di4iI+8YlPtPvyGAXKtF2WRNtv3HsYT08t4hPfexKAvmGXXOq8WhqRkZuYmhzUM9kxjUEW+od7OB6BYRgvmWQCr71oQ7svg2FikTJl0bYqKpHmlu1N9rnr+3Hvc6fsr+3wtRPDtAISkY7P5fHYsTkALNquBHLaLknRCBxP5cU0DfzO9bvbfRmRof3qHIm2juO2Hvf0779sD67eNYoXnz3m+zVybASJthsGc7jvwy/u+D1/s1CdtsWybXVtxzw+lEtjZqmEs9b2IZkwkUwAv/OS3bj3uVPY06IqBcpEXi5VsFysCAc3s4pE2xtuuAE33HCD+PO2bdvwxBNP4LOf/SyLth0IlYjMLrn29pPKqYlO3Bxy4hGSpgGzQzvCE37xCLlVUhZzOuIRbdlpyzAMw5wGJCX3rJxrS43Izt/giradHi3FMK2AnLa/ODqHk4tFmAawe5zjEepFZNoWK5hasPdz3DtidSOcts7+dX4FTtu1/V143cXBB+JyhN2A1Ah2tWQANwM/p207RGz6TM5b3y/+7h0v3IZ3tPAaejJJXLRpAP1dKRTKLNrKrBrRVsfs7CyGhobafRmMBsqomXROY4vlKmaX7c3FdWeN4T8fO4Etw90130dC22rYdNACpliuolq1RDxCN8cjtA3DMEQpBzsAGIZhmNMBuYt0UeouTZvsvRsGxN+x05ZhgDWO0/bwqWUAwNaRbk+mJhMPEk+WSxWcdETbEa5oW9X0ZhvXiCwKsjjb1xU/N/d0hMxGhXIFlmW5om0bdJANgzncd3AGF20eaPnvJgzDwD+/+4q2/f5OZtWqS/v378enP/3pQJdtoVBAoVAQf56bm2vFpTFwS2ZoYqcugKYBfP5NF+ORI7PaE2/6vtWw6ZAXf4VyFUtOg7Ucnwq1le5MEoVykReTDMMwzGmBYRhIJQyUKhbKVVe0Jaft2ev6xL93ej8AhmkFFI9A7OFohBXhaUTmGHK44e/qptdx1M43oBFZFLxOW753AFfIrlp2Xn2xTY3IAOAPXn4Wrt49ileev67lv5sJp+0ru5tvvhmGYQT+7/HHH/d8z5EjR3DDDTfg9a9/Pd7xDn/T9i233IL+/n7xv40bNzb75TAONJGfXLQndhJvh7ozSJgG9m4c0J54k9DWtQpOw+XrXy5VXKctZ9q2lQ+8ZBfe9PzN2MNlcAzDMMxpAh1mUzxCtWqJstaBXAqbhnKer2OYM5lR5eD+bBZtVwQ5be14BM60PR2gGAS3EVnJ8/eNRpdpe6YjN2crlCsoVdqXaTvWl8VrL9qAJK8hOpK2q0sf+MAH8Ja3vCXwa7Zt2yb+++jRo7jmmmtw+eWX4y//8i8Dv+9DH/oQ3v/+94s/z83NsXDbIijniMRaEm/DckbPXd+PN1yyAedLpX6dSsI0kE6YKFaqyJcqwmnLom17ufGyze2+BIZhGIZpKBSRQE6cxWIZlhNv25dNYc/aPhyYXPRkBTLMmUo6aWKoOy26kJ/VokY6pysep+0iZ9qeDlAMAsUi0CFgPY3IoiBXgQywaAvA+54UylWUyuS0ZeGU8dJ2dWl0dBSjo6ORvvbIkSO45pprcPHFF+Pv/u7vYJrBN3Qmk0EmwxNKO5DjESzLEuJt2KlswjTwJ7+0t+nX1ygyKVu09ThtOR6BYRiGYZgGQhl35LSljt/phIlM0sTvv+wsXLF9BNefM962a2SYTmJNb0YSbdlpuxJItC1XLRyfzQMARnp5j72aoUZkFIvgxiM0Rx6SK1TZaWsj92LJlyriULYdjciYzmbV3BFHjhzB1VdfjU2bNuETn/gEJicncfz4cRw/frzdl8ZooJiDYqWK+UJZKqU5vSb4QSeT5+nJRVQdx0uOnbYMwzAMwzSQpGNUoEYl804pa282CcMwsH6gC//lsk3cbIlhHCjXdiCXwriSccvEI5t2JQNq7hZWPcl0Nr0ZbyMy+v/eJmXaUiVqKmFwIzIJtxlZVczvqWTrM22ZzmbVqEu33nor9u/fj/3792PDhg2ef7OoPozpGLKpBHoySSwUypiaL4iT7tNtgr9o0wAOTi/hh09MiL9bDXm8DMMwDMOsHmgT54q2ze30zTCrnbE+2yiyZ7wXhsEiyEpIJ0yYht0wablkx8Fxw9/VDc0dy6UKiuUqFpyK0WZl2g51p/FHrzgb/V0pJEx+HolMKgHky7bTluMRGB9WzR3xlre8BZZlaf/HdCYiImGx6MYjnGai7fO2DgEAfvjEJABbsOWJiGEYhmGYRpISTlsnHmHZdtqyY4lh9Gwb7QEAXLRpsM1XsvoxDKPGlDJ0mu3pzjTkHiwT83mRkd7Mg8C3vWArfuniDeFfeAaRTclO2/Y1ImM6Gz6eZ5rGcHcaz51cwsmFgtuI7DQ7lb10iy3aHpmxS4W4CRnDMAzDMI2GNnFldtoyTCTevG8LNg3l8MJd0XqnMMF0pRNYLNou2/6ulMjZZlYn6aQp8lSPOTnFqYThaY7FNJ9M0j4MKZTceATOtGVU+I5gmgYJtFMLRdFp9HQ7ld2xpgeDUqfm7gxHIzAMwzAM01iSCbuKp6hm2mbYacswOrrSCbzsvLVNK/c+05DzssMaSzOrAzr0O+qYj3oySY4SaTHktM2XK26mbYI/A8YLi7ZM0xiheIQFNx5h5DSb5A3DwPMcty0A5NK8MGQYhmEYprG4TlsnHoGdtgzDtJBc2hVtR7pPr8rJMxVqOnbccdo2qwkZ44/stKVDWXaxMyp8RzBNgwLqTy4WcHLh9IxHAIBLt7qibXeanbYMwzAMwzQWct6QE2cuz5m2DMO0ji522p52kAud4hHYld56KI6iUK6gVOZMW0YP3xFM06CmY0dOLYsMpNNxkvc4bXmyYxiGYRimwdAmrlS1N3WcacswTCuR4xFGTkMTzpkIibQiHoHnk5ZDz5WcacuiLaPCdwTTNMhV+8SJeQC2S6T3NBQ1z1nXJ0qGejjTlmEYhmGYBpMk0basNiJjpy3DMM2nK81O29MNOvQ7Pmc7bftYtG05HqctxyMwPvAdwTQNmtAPn7JP74a7M6dluHkyYeLizYMAONOWYRiGYZjGk3biEcpVJx5h2YlH4E02wzAtwBuPwE7b04Ee0YiM4xHaBTlt86UqCmVuRMboYdGWaRpq6czpfCp71a5RAMD6ga42XwnDMAzDMKcbSdNeshcrFI9gi7bstGUYphXIou1I9+m7pzuToArYKaf3DM8nrUfntOV4BEaFj1OYpjGsTOhDp/EE/2v7tuCstX3CccswDMMwDNMoUs7GrlzxxiOw05ZhmFaQleIRRnrZaXs6oIq0nGnbeki0zXOmLRMAP5lM0xjMpWEagNMz47QOrU8nTVyxY6Tdl8EwDMMwzGlIyrTLJWlTN+c4bfu62BnFMEzz8cQjnMZGnDMJVaTleITWIxqRlSsoOZU0aRZtGQW+I5imYZoGhrpdoZYneIZhGIZhmPgkEyTaUjwCNSLjTTbDMM2HM21PP1SRlis3Wo8bj1BFscKZtoweFm2ZpjIi5dgOncaZtgzDMAzDMM2CyiVLlSrKlSqWihUAnEHIMExr6HLiEdIJk8W90wT10I/jEVpPRjQiq6DkNCJLJxNB38KcgbBoyzQVufnYSDefyjIMwzAMw8SFRNtyxRIuW4CdtgzDtAZy2g73pGEY7AQ8HVDnj94MHwK2GtlpW2KnLeMDi7ZMUxmW4xHYacswDMMwDBMb2sSVqlUh2nalEtywhGGYlkBOW97PnT70ZLgRWbvxOG0p0zbJ8zrjhe8IpqnIzceGONOWYRiGYRgmNkmKRyhbogkZu2wZhmkV6we6AADbRnrafCVMo1AzbbkRWevJOgLtUrEiZdqyRMd44SeTaSqeeAQOrWcYhmEYhomNiEeQnLYs2jIM0ypesGMEX37HZTh7bV+7L4VpEOoc0scZ6S1n+xr7EOSBQzPYPJwDwKItUwuv9pimIjci43IahmEYhmGY+KRMJx6hUhVO274u3mAzDNMaTNPA5dtH2n0ZTAPhRmTtZ++GAQx3p3FysYjHjs0D4ExbphaW8ZmmQpm2XakEcmmeCBiGYRiGYeKSckooS1Ijsl52RTEMwzB10s3xCG0nYRq4evcaAECl6mTastOWUeA7gmkqG4dsm//6wa42XwnDMAzDMMzqJCk5bec505ZhGIZZIamEiS6nEVYmaXIDrDZx3VlrPH9O8efAKPBqj2kqu8d78Re/cgG2j3JoPcMwDMMwTD3QZrpcsTC77MQjsNOWYRiGWQE92SSWSxU+BGwjV+4aRSphoFSxnbacacuo8B3BNJ1XX7Ae567vb/dlMAzDMAzDrEqSpr1kL1aqmJwvAABGuVcAwzAMswJ6nUgEjttpHz2ZJJ6/bVj8meMRGBW+IxiGYRiGYRimg6HGJOVKFROOaLumL9vOS2IYhmFWOeSw5Tzb9nLtHjciIZ3kRmSMFxZtGYZhGIZhGKaDoXLJUsXCxFweALCmN9POS2IYhmFWOT1ZctqyaNtOrj1rTPw3VdYwDMFPJ8MwDMMwDMN0MK5oy05bhmEYpjGQw5adtu1l41AOr71wPZ6bXsIGbuDOKPDTyTAMwzAMwzAdTNKJRyiU3UzbsT522jIMwzD105Oxs2x72Gnbdj75yxe0+xKYDmVVea9f9apXYdOmTchms1i7di3e9KY34ejRo+2+LIZhGIZhGIZpGtSYZHK+gHLVgmEAIz0s2jIMwzD1Q7EIfdyIjGE6llUl2l5zzTX46le/iieeeALf+MY3cODAAfzSL/1Suy+LYRiGYRiGYZoGOW2PO3m2Q7m0iExgGIZhmHq4avcohrvTeOGukXZfCsMwPqwqH/z73vc+8d+bN2/GzTffjNe85jUolUpIpfh0iGEYhmEYhjn9oMYklaoFgPNsGYZhmJVzze41uOcPr4NhGO2+FIZhfFi1R/TT09P40pe+hMsvv5wFW4ZhGIZhGOa0JZ30bqjX9HI0AsMwDLNyWLBlmM5m1Ym2v/d7v4fu7m4MDw/j4MGD+Na3vuX7tYVCAXNzc57/MQzDMAzDMMxqgpy2BDchYxiGYRiGOf1pu2h78803wzCMwP89/vjj4us/+MEP4v7778f3vvc9JBIJ/Nqv/Rosy9L+7FtuuQX9/f3ifxs3bmzVy2IYhmEYhmGYhqDm167p5XgEhmEYhmGY0x3D8lM8W8Tk5CROnjwZ+DXbtm1DOp2u+fvDhw9j48aN+NnPfoZ9+/bV/HuhUEChUBB/npubw8aNGzE7O4u+vr6VXzzDMAzDMAzDNJmnTszjxX/2I/Hn//bqc/Br+7a074IYhmEYhmGYupmbm0N/f3+oPtn2RmSjo6MYHR2t63ur1SoAeIRZmUwmg0yGy8cYhmEYhmGY1Qs7bRmGYRiGYc482i7aRuXOO+/E3XffjRe84AUYHBzEgQMH8Ed/9EfYvn271mXLMAzDMAzDMKcDyYTSiIwzbRmGYRiGYU572p5pG5VcLod//ud/xrXXXovdu3fjbW97G84//3zcfvvt7KZlGIZhGIZhTlvSNU5bXvsyDMMwDMOc7qwap+15552H2267rd2XwTAMwzAMwzAtJamItqMs2jIMwzAMw5z2rBqnLcMwDMMwDMOciaSkeITBXAqZZKKNV8MwDMMwDMO0AhZtGYZhGIZhGKaDkRuRjfVxEzKGYRiGYZgzARZtGYZhGIZhGKaDkUVbjkZgGIZhGIY5M2DRlmEYhmEYhmE6mIRpwHASEtb0stOWYRiGYRjmTIBFW4ZhGIZhGIbpcMhtO9bHTluGYRiGYZgzARZtGYZhGIZhGKbDSZm21XYNxyMwDMMwDMOcEbBoyzAMwzAMwzAdTippL9vXcCMyhmEYhmGYMwIWbRmGYRiGYRimw6F4BHbaMgzDMAzDnBkk230BDMMwDMMwDMME87qLNuDe56Zx7vr+dl8KwzAMwzAM0wJYtGUYhmEYhmGYDufml+5p9yUwDMMwDMMwLYTjERiGYRiGYRiGYRiGYRiGYToIFm0ZhmEYhmEYhmEYhmEYhmE6CBZtGYZhGIZhGIZhGIZhGIZhOggWbRmGYRiGYRiGYRiGYRiGYToIFm0ZhmEYhmEYhmEYhmEYhmE6CBZtGYZhGIZhGIZhGIZhGIZhOggWbRmGYRiGYRiGYRiGYRiGYToIFm0ZhmEYhmEYhmEYhmEYhmE6CBZtGYZhGIZhGIZhGIZhGIZhOggWbRmGYRiGYRiGYRiGYRiGYToIFm0ZhmEYhmEYhmEYhmEYhmE6iGS7L6CVWJYFAJibm2vzlTAMwzAMwzAMwzAMwzAMc6ZBuiTplH6cUaLt/Pw8AGDjxo1tvhKGYRiGYRiGYRiGYRiGYc5U5ufn0d/f7/vvhhUm655GVKtVHD16FL29vTAMo92X03Tm5uawceNGHDp0CH19fe2+HIZhYsLPMMOsXvj5ZZjVDT/DDLN64eeXYVYvZ8rza1kW5ufnsW7dOpimf3LtGeW0NU0TGzZsaPdltJy+vr7T+mZnmNMdfoYZZvXCzy/DrG74GWaY1Qs/vwyzejkTnt8ghy3BjcgYhmEYhmEYhmEYhmEYhmE6CBZtGYZhGIZhGIZhGIZhGIZhOggWbU9jMpkMPvKRjyCTybT7UhiGqQN+hhlm9cLPL8OsbvgZZpjVCz+/DLN64efXyxnViIxhGIZhGIZhGIZhGIZhGKbTYactwzAMwzAMwzAMwzAMwzBMB8GiLcMwDMMwDMMwDMMwDMMwTAfBoi3DMAzDMAzDMAzDMAzDMEwHwaLtacxnPvMZbNmyBdlsFpdddhnuuuuudl8Sw5zx/OhHP8IrX/lKrFu3DoZh4F/+5V88/25ZFj784Q9j7dq16OrqwnXXXYennnrK8zXT09O48cYb0dfXh4GBAbztbW/DwsJCC18Fw5yZ3HLLLXje856H3t5erFmzBq95zWvwxBNPeL4mn8/jpptuwvDwMHp6evC6170OJ06c8HzNwYMH8fKXvxy5XA5r1qzBBz/4QZTL5Va+FIY54/jsZz+L888/H319fejr68O+ffvw3e9+V/w7P7sMs7r4+Mc/DsMw8Nu//dvi7/g5ZpjO5I//+I9hGIbnf3v27BH/zs+uPyzanqb80z/9E97//vfjIx/5CO677z7s3bsX119/PSYmJtp9aQxzRrO4uIi9e/fiM5/5jPbf/+RP/gSf+tSn8LnPfQ533nknuru7cf311yOfz4uvufHGG/GLX/wCt956K77zne/gRz/6Ed75zne26iUwzBnL7bffjptuugk///nPceutt6JUKuElL3kJFhcXxde8733vw7e//W187Wtfw+23346jR4/ita99rfj3SqWCl7/85SgWi/jZz36GL37xi/jCF76AD3/4w+14SQxzxrBhwwZ8/OMfx7333ot77rkHL3rRi/DqV78av/jFLwDws8swq4m7774bn//853H++ed7/p6fY4bpXM455xwcO3ZM/O8nP/mJ+Dd+dgOwmNOSSy+91LrpppvEnyuVirVu3TrrlltuaeNVMQwjA8D65je/Kf5crVat8fFx60//9E/F383MzFiZTMb6x3/8R8uyLOvRRx+1AFh33323+Jrvfve7lmEY1pEjR1p27QzDWNbExIQFwLr99tsty7Kf11QqZX3ta18TX/PYY49ZAKw77rjDsizL+rd/+zfLNE3r+PHj4ms++9nPWn19fVahUGjtC2CYM5zBwUHrr//6r/nZZZhVxPz8vLVz507r1ltvta666irrve99r2VZPAczTCfzkY98xNq7d6/23/jZDYadtqchxWIR9957L6677jrxd6Zp4rrrrsMdd9zRxitjGCaIZ555BsePH/c8u/39/bjsssvEs3vHHXdgYGAAl1xyifia6667DqZp4s4772z5NTPMmczs7CwAYGhoCABw7733olQqeZ7hPXv2YNOmTZ5n+LzzzsPY2Jj4muuvvx5zc3PC8ccwTHOpVCr4yle+gsXFRezbt4+fXYZZRdx00014+ctf7nleAZ6DGabTeeqpp7Bu3Tps27YNN954Iw4ePAiAn90wku2+AKbxTE1NoVKpeG5oABgbG8Pjjz/epqtiGCaM48ePA4D22aV/O378ONasWeP592QyiaGhIfE1DMM0n2q1it/+7d/GFVdcgXPPPReA/Xym02kMDAx4vlZ9hnXPOP0bwzDN4+GHH8a+ffuQz+fR09ODb37zmzj77LPxwAMP8LPLMKuAr3zlK7jvvvtw99131/wbz8EM07lcdtll+MIXvoDdu3fj2LFj+OhHP4orr7wSjzzyCD+7IbBoyzAMwzAME5ObbroJjzzyiCePi2GYzmb37t144IEHMDs7i69//et485vfjNtvv73dl8UwTAQOHTqE9773vbj11luRzWbbfTkMw8TgpS99qfjv888/H5dddhk2b96Mr371q+jq6mrjlXU+HI9wGjIyMoJEIlHTbe/EiRMYHx9v01UxDBMGPZ9Bz+74+HhNQ8FyuYzp6Wl+vhmmRbznPe/Bd77zHfzgBz/Ahg0bxN+Pj4+jWCxiZmbG8/XqM6x7xunfGIZpHul0Gjt27MDFF1+MW265BXv37sVf/MVf8LPLMKuAe++9FxMTE7jooouQTCaRTCZx++2341Of+hSSySTGxsb4OWaYVcLAwAB27dqF/fv38xwcAou2pyHpdBoXX3wxvv/974u/q1ar+P73v499+/a18coYhgli69atGB8f9zy7c3NzuPPOO8Wzu2/fPszMzODee+8VX3PbbbehWq3isssua/k1M8yZhGVZeM973oNvfvObuO2227B161bPv1988cVIpVKeZ/iJJ57AwYMHPc/www8/7Dl8ufXWW9HX14ezzz67NS+EYRgA9vq4UCjws8swq4Brr70WDz/8MB544AHxv0suuQQ33nij+G9+jhlmdbCwsIADBw5g7dq1PAeH0e5OaExz+MpXvmJlMhnrC1/4gvXoo49a73znO62BgQFPtz2GYVrP/Py8df/991v333+/BcD65Cc/ad1///3Wc889Z1mWZX384x+3BgYGrG9961vWQw89ZL361a+2tm7dai0vL4ufccMNN1gXXnihdeedd1o/+clPrJ07d1pvfOMb2/WSGOaM4V3vepfV399v/fCHP7SOHTsm/re0tCS+5jd/8zetTZs2Wbfddpt1zz33WPv27bP27dsn/r1cLlvnnnuu9ZKXvMR64IEHrH//93+3RkdHrQ996EPteEkMc8Zw8803W7fffrv1zDPPWA899JB18803W4ZhWN/73vcsy+Jnl2FWI1dddZX13ve+V/yZn2OG6Uw+8IEPWD/84Q+tZ555xvrpT39qXXfdddbIyIg1MTFhWRY/u0GwaHsa8+lPf9ratGmTlU6nrUsvvdT6+c9/3u5LYpgznh/84AcWgJr/vfnNb7Ysy7Kq1ar1R3/0R9bY2JiVyWSsa6+91nriiSc8P+PkyZPWG9/4Rqunp8fq6+uz3vrWt1rz8/NteDUMc2ahe3YBWH/3d38nvmZ5edl697vfbQ0ODlq5XO7/384doyYSxmEc/gwiimUUEYscISkED2BlqY29N5BcwYN4GSHYREglWKQydVoV/1ssCBtYdqrMt5PnKWdgeKf4mh/DxHQ6jY+Pjz+e8/7+HpPJJFqtVnQ6nXh+fo7z+fzNbwM/y2KxiIeHh2g0GtHtdmM8Ht+CbYSzC/+jr9HWOYY8zefz6Pf70Wg0YjAYxHw+j8PhcLvv7P5dLSKinG98AQAAAAD4yj9tAQAAAAAyItoCAAAAAGREtAUAAAAAyIhoCwAAAACQEdEWAAAAACAjoi0AAAAAQEZEWwAAAACAjIi2AAAAAAAZEW0BAAAAADIi2gIAQEHL5TLNZrOyZwAAUHGiLQAAFLTdbtNwOCx7BgAAFVeLiCh7BAAA5Ox0OqV2u50ul8vt2mg0Si8vLyWuAgCgquplDwAAgNzV6/W02WzSaDRKu90u9Xq91Gw2y54FAEBFibYAAPAPd3d36Xg8pvv7+/T4+Fj2HAAAKs4/bQEAoIDX11fBFgCAbyHaAgBAAbvdTrQFAOBbiLYAAFDA29tbenp6KnsGAAA/gGgLAAAFXK/XtN/v0/F4TJ+fn2XPAQCgwkRbAAAoYLVapfV6nQaDQVqtVmXPAQCgwmoREWWPAAAAAADgN1/aAgAAAABkRLQFAAAAAMiIaAsAAAAAkBHRFgAAAAAgI6ItAAAAAEBGRFsAAAAAgIyItgAAAAAAGRFtAQAAAAAyItoCAAAAAGREtAUAAAAAyIhoCwAAAACQEdEWAAAAACAjvwBxRu5c6WJIEQAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "visibility_relations_horizontal = HVG1.visibility_relations_horizontal()\n", + "cutoff = int(N/10)\n", + "fig = plt.figure(figsize=(14, 4))\n", + "ax = plt.plot(t[:cutoff], w_t[:cutoff]) # zooming in a bit\n", + "ax = plt.xlabel(\"$t$\")\n", + "ax = plt.ylabel(\"$w_t$\")\n", + "ax = plt.title(\"TS with horizontal visibility relations for node 55\")\n", + "fig.tight_layout()\n", + "\n", + "i = 209 # only plot the nodes visible to node 209\n", + "for k in range(cutoff):\n", + " if visibility_relations_horizontal[i][k]:\n", + " ax = plt.arrow(i, w_t[i], (k-i), (w_t[k]-w_t[i]), color='red')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "445f785f", + "metadata": {}, + "source": [ + "### Irreversibility Test" + ] + }, + { + "cell_type": "markdown", + "id": "eaea9cb7", + "metadata": {}, + "source": [ + "#### Linear Time Series" + ] + }, + { + "cell_type": "markdown", + "id": "fd5fd60a", + "metadata": {}, + "source": [ + "We start by analysing the linear time series on irreversibility. For this we use the time directed degrees via:\n", + "- `VisibilityGraph.retarded_degree()`\n", + "- `VisibilityGraph.advanced_degree()`" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "c8abc84c", + "metadata": {}, + "outputs": [], + "source": [ + "k_r1 = VG1.retarded_degree() # obtain retarded degree\n", + "k_a1 = VG1.advanced_degree() # obtain advanced degee" + ] + }, + { + "cell_type": "markdown", + "id": "8b81f887", + "metadata": {}, + "source": [ + "Applied to VG both methods return an array with the corresponding degree for each node. For such an array we can obtain the probability for each degree with a kernel-density estimate using Gaussian kernels. [Kernel density estimation](https://en.wikipedia.org/wiki/Kernel_density_estimation) is a way to estimate the probability density function (PDF) of a random variable in a non-parametric way. We use `scipy.stats.gaussian_kde` for that." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "ab06fcb7", + "metadata": {}, + "outputs": [], + "source": [ + "from scipy.stats import gaussian_kde \n", + "gkde_r1 = gaussian_kde(k_r1)\n", + "gkde_a1 = gaussian_kde(k_a1)" + ] + }, + { + "cell_type": "markdown", + "id": "19cb5e7a", + "metadata": {}, + "source": [ + "Now we plot $p(k_v^r)$ against $k_v^r$ in red and $p(k_v^a)$ against $k_v^a$ in black and compare both visiually. The first figure is plotted on a non-logartihmic y-scale and the second one on a logartihmic scale. Both plots are cutoff at a degree of 12, for which probabilities get very low too be comparable. " + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "07800115", + "metadata": { + "scrolled": false + }, + "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": [ + "fig = plt.figure(figsize=(14, 3))\n", + "x = np.linspace(0, 12, 1000)\n", + "ax = plt.plot(x, gkde_r1.evaluate(x), color=\"red\", label=\"retarded\")\n", + "ax = plt.plot(x, gkde_a1.evaluate(x), color=\"black\", label=\"advanced\")\n", + "ax = plt.xlabel(\"$k$\")\n", + "ax = plt.ylabel(\"$p(k)$\")\n", + "ax = plt.legend()\n", + "fig.tight_layout()\n", + "\n", + "fig = plt.figure(figsize=(14, 3))\n", + "x = np.linspace(0, 12, 1000)\n", + "ax = plt.plot(x, gkde_r1.evaluate(x), color=\"red\", label=\"retarded\")\n", + "ax = plt.plot(x, gkde_a1.evaluate(x), color=\"black\", label=\"advanced\")\n", + "ax = plt.xlabel(\"$k$\")\n", + "ax = plt.ylabel(\"$p(k)$\")\n", + "ax = plt.legend()\n", + "ax = plt.yscale(\"log\")\n", + "fig.tight_layout()" + ] + }, + { + "cell_type": "markdown", + "id": "adebe395", + "metadata": {}, + "source": [ + "By visual investigation we already find strong similarities in the distributions. Now we also apply the KS test for this time series. For this we can use `scipy.stats.ks_2samp`, which gives us the $p$-value of two input data sets, therefore telling us if they are likely to have been drwawn from the same distribution, which would be the case for an reversible process. E.g. $p>0.05$ would imply then that the time series has likely been generated by an reversible process." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "0c5cead0", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "KstestResult(statistic=0.0072, pvalue=0.9994903068538411, statistic_location=3.0, statistic_sign=1)" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from scipy.stats import ks_2samp\n", + "ks_2samp(k_r1, k_a1)" + ] + }, + { + "cell_type": "markdown", + "id": "ec953d2d", + "metadata": {}, + "source": [ + "The result of `pvalue=0.999... > 0.050` implies reversibility of the time series." + ] + }, + { + "cell_type": "markdown", + "id": "da798677", + "metadata": {}, + "source": [ + "#### Non-Linear Time Series" + ] + }, + { + "cell_type": "markdown", + "id": "daa011e0", + "metadata": {}, + "source": [ + "Now we do the same for a non-linear time series. We can construct one using the logistic map for instance, which we take from the tutorial for the recurrence plots. We only change the bifurcation parameter to find ourselves deeply in the chaotic regime to $r = 4$." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "7c13c46c", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "def logistic_map(x0, r, T):\n", + " \"\"\"\n", + " Returns a time series of length T using the logistic map,\n", + " x_(n+1) = r*x_n(1-x_n) at parameter r and using the initial condition x0.\n", + " INPUT: x0 - Initial condition, 0 <= x0 <= 1\n", + " r - Bifurcation parameter, 0 <= r <= 4\n", + " T - length of the desired time series\n", + " \"\"\"\n", + " # Initialize the time series array\n", + " timeSeries = np.empty(T)\n", + "\n", + " timeSeries[0] = x0\n", + " for i in range(1, len(timeSeries)):\n", + " xn = timeSeries[i-1]\n", + " timeSeries[i] = r * xn * (1 - xn)\n", + "\n", + " return timeSeries\n", + "\n", + "r = 3.6\n", + "x0 = 0.8\n", + "T = 5000\n", + "\n", + "time_series = logistic_map(x0, r, T)\n", + "fig = plt.figure(figsize=(14, 4))\n", + "ax = plt.plot(time_series[:200]) # also zooming in a bit here\n", + "ax = plt.xlabel(\"$n$\")\n", + "ax = plt.ylabel(\"$x_n$\")" + ] + }, + { + "cell_type": "markdown", + "id": "3fa8ae3b", + "metadata": {}, + "source": [ + "We apply the same procedure as before for the linear TS." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "9284ffe6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Calculating visibility relations...\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAABW0AAAEiCAYAAACC1vAZAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAAB3A0lEQVR4nO3dd3gU5RrG4d9ueg81tEAQkN6bgApKpAgI2BCVptgAEREUVMQOShEpgnAAFUVApYk0DUVFlBqkSJUqJNR00nb3/DFJIBAgQJJZkue+ru+a2ZnZnXfDWTw8+fb9LA6Hw4GIiIiIiIiIiIiIOAWr2QWIiIiIiIiIiIiIyAUKbUVERERERERERESciEJbERERERERERERESei0FZERERERERERETEiSi0FREREREREREREXEiCm1FREREREREREREnIhCWxEREREREREREREnotBWRERERERERERExIm4ml2A2ex2O8ePH8fPzw+LxWJ2OSIiIiIiIiIiIpJPORwOYmNjKVWqFFbrlefTFvjQ9vjx4wQHB5tdhoiIiIiIiIiIiBQQR48epUyZMlc8X+BDWz8/P8D4Qfn7+5tcjYiIiIiIiIiIiORXMTExBAcHZ2SSV1LgQ9v0lgj+/v4KbUVERERERERERCTXXatNqxYiExEREREREREREXEiCm1FREREREREREREnIhCWxEREREREREREREnUuB72oqIiIiIiIiIiJjNZrORkpJidhlyk9zc3HBxcbnp11FoKyIiIiIiIiIiYhKHw0FERARRUVFmlyI5JDAwkBIlSlxzsbGrUWgrIiIiIiIiIiJikvTAtnjx4nh7e99U0CfmcjgcJCQkcPLkSQBKlix5w6+l0FYkrzkcsHYtLFwIO3aAzQZVq0KnThAaCla1mhYREREREREpCGw2W0ZgW6RIEbPLkRzg5eUFwMmTJylevPgNt0pQaCuSl/buhaefht9/z3x8zRqYPBnq1YNp04ytiIiIiIiIiORr6T1svb29Ta5EclL6n2dKSsoNh7ZON6Vv0qRJhISE4OnpSePGjdmwYcNVr4+KiqJv376ULFkSDw8Pbr/9dpYuXZpH1Ypch59+grp1jcDW0xOeegq++AJmzYIXXgA/P9iyBe64A776yuxqRURERERERCSPqCVC/pITf55ONdN27ty5DBw4kClTptC4cWPGjRtH69at2bNnD8WLF7/s+uTkZO677z6KFy/O999/T+nSpTl8+DCBgYF5X7zI1cyfD126QGoq3HMPfPklBAdfOP/kkzB8ODz/vNE2oUcPOH8ennvOtJJFRERERERERMQcTjXTduzYsTzzzDP06tWLatWqMWXKFLy9vZkxY0aW18+YMYOzZ8+ycOFCmjVrRkhICM2bN6d27dp5XLnIVfz1Fzz+uBHYdu0KK1ZkDmzTBQXBDz/AK68Yj194wXgsIiIiIiIiIiLXdOjQISwWC+Hh4Tf1Oi1atGDAgAE5UtONcprQNjk5mc2bNxMaGppxzGq1Ehoayvr167N8zuLFi2nSpAl9+/YlKCiIGjVq8OGHH2Kz2a54n6SkJGJiYjINkVxz8iR07gxJSdChg9EKwc3tytdbrTBqlDHD1uGAnj1hz548K1dEREREREREJLc4Qxh6q3Ca0Pb06dPYbDaCgoIyHQ8KCiIiIiLL5/z77798//332Gw2li5dyrBhwxgzZgzvv//+Fe8zYsQIAgICMkZwVjMeRXKCw2G0OzhxAqpXh2++gew0n7ZYYNIkaNEC4uLgkUeM0FdERERERERExEklJyfny3uZxWlC2xtht9spXrw4U6dOpX79+nTp0oU33niDKVOmXPE5Q4cOJTo6OmMcPXo0DyuWAmXOHFiwAFxdjcDWzy/7z3VxgdmzoXhx2L4dRozIvTpFRERERERERK5TixYt6NevHwMGDKBo0aK0bt2aHTt20LZtW3x9fQkKCqJbt26cPn0agJ49e7J27Vo+/fRTLBYLFouFQ4cOYbPZePrppylfvjxeXl5UrlyZTz/9NNO9evbsSadOnfjggw8oVaoUlStXBmDDhg3UrVsXT09PGjRowNatWy+r82o1AcTHx9O9e3d8fX0pWbIkY8aMycWfWvY5TWhbtGhRXFxciIyMzHQ8MjKSEiVKZPmckiVLcvvtt+Ny0ezFqlWrEhERccXE3cPDA39//0xDJMdFRUH//sb+sGFwI32WS5aECROM/Q8/hH/+ybHyRERERERERMQJORwQH2/OcDiuu9wvv/wSd3d31q1bx8iRI7n33nupW7cumzZtYvny5URGRvLoo48C8Omnn9KkSROeeeYZTpw4wYkTJwgODsZut1OmTBm+++47du3axVtvvcXrr7/OvHnzMt0rLCyMPXv28PPPP7NkyRLi4uJo37491apVY/Pmzbz99tsMGjQo03OioqKuWhPA4MGDWbt2LYsWLWLlypWsWbOGLVu23MAfXs5yNbuAdO7u7tSvX5+wsDA6deoEGDNpw8LC6NevX5bPadasGbNnz8Zut2O1Gvnz3r17KVmyJO7u7nlVusjlPvwQTp+GKlVg6NAbf51HHoGvvoKffjIWJlu92mifICIiIiIiIiL5T0IC+Pqac++4OPDxua6nVKpUiY8//hiA999/n7p16/Lhhx9mnJ8xYwbBwcHs3buX22+/HXd3d7y9vTNN0HRxceGdd97JeFy+fHnWr1/PvHnzMoWrPj4+/O9//8vI/KZOnYrdbmf69Ol4enpSvXp1jh07xgsvvJDxnIkTJ161plKlSjF9+nS+/vprWrZsCRhBdJkyZa7r55AbnGamLcDAgQOZNm0aX375Jf/88w8vvPAC8fHx9OrVC4Du3bsz9KIA7IUXXuDs2bO89NJL7N27l59++okPP/yQvn37mvUWRODgQUifxj969NUXHruW9P62Hh6wdq0R3oqIiIiIiIiIOIH69etn7G/bto3Vq1fj6+ubMapUqQLAgQMHrvo6kyZNon79+hQrVgxfX1+mTp3KkSNHMl1Ts2bNTJM0//nnH2rVqoWnp2fGsSZNmmR6zrVqOnDgAMnJyTRu3DjjOYULF85ov2Amp5lpC9ClSxdOnTrFW2+9RUREBHXq1GH58uUZi5MdOXIkY0YtQHBwMCtWrODll1+mVq1alC5dmpdeeonXXnvNrLcgAsOHQ3IyhIbC/fff/OuVK2e0Whg1CoYMgbZts7egmYiIiIiIiIjcWry9jRmvZt37OvlcNDM3Li6ODh068NFHH112XcmSJa/4GnPmzGHQoEGMGTOGJk2a4Ofnx6hRo/jrr7+ueK/sulZN+/fvv+7XzCtOFdoC9OvX74rtENasWXPZsSZNmvDnn3/mclUi2fTvv8YCYmAsHpZTrQyGDoX//Q927oRZs6Bnz5x5XRERERERERFxHhbLdbcocBb16tXjhx9+ICQkBFfXrCNHd3d3bDZbpmPr1q2jadOm9OnTJ+PYtWbmgrGu1axZs0hMTMyYbXtpRnitmipUqICbmxt//fUXZcuWBeDcuXPs3buX5s2bX7OG3ORU7RFEbnkffQQ2G7RuDQ0a5NzrFipkzLIFIwy+5C84EREREREREREz9e3bl7Nnz9K1a1c2btzIgQMHWLFiBb169coIakNCQvjrr784dOgQp0+fxm63U6lSJTZt2sSKFSvYu3cvw4YNY+PGjde83+OPP47FYuGZZ55h165dLF26lNGjR19XTb6+vjz99NMMHjyYVatWsWPHDnr27Jnpm/5mMb8Ckfzi2DGYOdPYf/PNnH/9F14wwtu9e2H+/Jx/fRERERERERGRG1SqVCnWrVuHzWajVatW1KxZkwEDBhAYGJgRgg4aNAgXFxeqVatGsWLFOHLkCM899xwPPvggXbp0oXHjxpw5cybTrNsr8fX15ccff2T79u3UrVuXN95447I2CNmpadSoUdx111106NCB0NBQ7rzzzky9es1icTgcDrOLMFNMTAwBAQFER0fj7+9vdjlyKxs82Fh4rHlzyKKVR44YPhzefRfq1oXNm3Ou/YKIiIiIiIiI5LnExEQOHjxI+fLlMy2oJbe2q/25ZjeL1ExbkZyQkADTpxv7r7xy1UuTk5OZN28eDz30EOXKlcPX15cSJUpw7733Mnr0aM6cOXPlJ/fvb/S22boVVq7MwTcgIiIiIiIiIiLOQqGtSE749ls4dw7Kl4f777/iZQsXLqRy5cp06dKF+fPnc+TIEeLj44mMjGT16tUMHjyYcuXK8fbbb5OcnHz5CxQpAr17G/vjx+fSmxERERERERERETMptBW5WQ4HTJxo7PfpAy4ul12SlJTEc889R+fOnTl06BAlSpTgjTfe4Ndff2X//v1s2rSJCRMmUKdOHeLj43nnnXdo0KAB+/fvv/x+/foZ22XLIKvzIiIiIiIiIiJyS1NoK3Kz/vgDwsPBywueeuqy0wkJCbRt25apU6disVh47bXX2L9/P++//z533XUXFSpUoH79+vTr148tW7Ywd+5cihUrxvbt27njjjv4448/Mr9gxYrQtq0RFk+enDfvUURERERERERE8oxCW5Gbld7LtmtXKFw406nz58/zwAMPsHr1avz8/Pjpp58YOXIkPj4+Wb6UxWLh0UcfZdu2bTRo0IAzZ87Qpk0bNm7cmPnC9Nm2M2ZAfHxOvyMRERERERERETGRQluRmxEXB/PmGfuXzLJ1OBz06tWLsLAwfH19Wb58OW3bts3Wy5YsWZK1a9dyzz33EBsbS+vWrdm1a9eFC9q0gQoVICoKvvkmh96MiIiIiIiIiIg4A4W2Ijfjhx+Mma4VK0LTpplOjRo1irlz5+Lq6sqSJUtoesn5a/H29mbx4sU0adKEc+fO0alTJ6KiooyTViu88IKxnz7TV0RERERERERE8gWFtiI344svjG3PnmCxZBz+448/GDp0KAATJkygefPmN/Tyvr6+LFq0iHLlyrFv3z4ef/xx7Ha7cbJbN3B1hQ0bYOfOm3gTIiIiIiIiIiLiTBTaityogwdhzRojrO3ePeNwfHw8PXr0wG63061bN5577rmbuk2xYsVYuHAhXl5eLFu2jIkTJxoniheH9u2N/Zkzb+oeIiIiIiIiIiK56dChQ1gsFsLDw80u5aa9/fbb1KlTJ1fvodBW5EbNmmVsQ0MhODjj8NChQ9m/fz9lypRh/PjxWC6agXuj6tSpw+jRowF47bXXLvS3Te+jO2sWpKTc9H1ERERERERERMR8Cm1FboTDAd9+a+x365ZxeOPGjUyYMAGA6dOnExgYmGO3fOGFF2jdujWJiYl0794dm80GbdtCUBCcPAlLl+bYvURERERERERExDwKbUVuxPbtsHs3eHhAx44A2O12+vfvD0C3bt1o1apVjt7SYrEwY8YMAgMD2bx5M5MnTzZ62qa3ZpgxI0fvJyIiIiIiIiJyJcuXL+fOO+8kMDCQIkWK0L59ew4cOJBxfsOGDdStWxdPT08aNGjA1q1bM87Z7XbKlCljZBsX2bp1K1arlcOHDwMwduxYatasiY+PD8HBwfTp04e4uLiM67/44gsCAwNZsWIFVatWxdfXlzZt2nDixIlMrztjxgyqV6+Oh4cHJUuWpF+/fhnnoqKi6N27N8WKFcPf3597772Xbdu2ZXr+yJEjCQoKws/Pj6effprExMSb/wFeg0JbkRsxd66xbdsW/P0B+Oabb/jzzz/x9fXlo48+ypXblipVig8//BCAN998k4iICOjVyzi5dCmcPp0r9xURERERERERuVh8fDwDBw5k06ZNhIWFYbVa6dy5M3a7nbi4ONq3b0+1atXYvHkzb7/9NoMGDcp4rtVqpWvXrsyePTvTa37zzTc0a9aMcuXKZVw3fvx4du7cyZdffsmqVat49dVXMz0nISGB0aNHM2vWLH799VeOHDmS6V6TJ0+mb9++PPvss2zfvp3FixdTsWLFjPOPPPIIJ0+eZNmyZWzevJl69erRsmVLzp49C8C8efN4++23+fDDD9m0aRMlS5bks88+y/Gf56UsDofDket3cWIxMTEEBAQQHR2Nf1r4JnJVDgdUqgQHDhgtEh57jPPnz1OxYkWOHz/OyJEjee2113Lt9jabjTvuuINNmzbx5JNPMmvWLKhXD7ZuhcmT4fnnc+3eIiIiIiIiIpJzEhMTOXjwIOXLl8fT0xOHw0FCQoIptXh7e9/UujynT5+mWLFibN++nT/++IPXX3+dY8eO4enpCcCUKVN44YUX2Lp1K3Xq1CE8PJx69epx6NAhypYti91up2zZsrz55ps8f4Vs4/vvv+f555/ndNqktS+++IJevXqxf/9+KlSoAMBnn33Gu+++a0x0A0qXLk2vXr14//33L3u933//nXbt2nHy5Ek8PDwyjlesWJFXX32VZ599lqZNm1K3bl0mTZqUcf6OO+4gMTHxiouqXfrnerHsZpGaaStyvbZsMQJbLy9o3x4wfmtz/PhxypUrx4ABA3L19i4uLkyePBmLxcLXX3/Nn3/+CV27GifT++yKiIiIiIiIyC0nISEBX19fU8b1hsX79u2ja9eu3Hbbbfj7+xMSEgLAkSNH+Oeff6hVq1amwLJJkyaZnl+nTh2qVq2aMdt27dq1nDx5kkceeSTjml9++YWWLVtSunRp/Pz86NatG2fOnMlUq7e3d0ZgC1CyZElOnjwJwMmTJzl+/DgtW7bM8j1s27aNuLg4ihQpkulncfDgwYxWD//88w+NGzfO9LxL30tuUGgrcr3SWyO0bw++vsTHxzNy5EgAhg0bluk3M7mlQYMG9Epri/Daa6/hePRR48Rvv8GxY7l+fxEREREREREp2Dp06MDZs2eZNm0af/31F3/99RcAycnJ2X6NJ554IiO0nT17Nm3atKFIkSIAHDp0iPbt21OrVi1++OEHNm/enDHb9eJ7uLm5ZXpNi8VCemMBLy+vq94/Li6OkiVLEh4enmns2bOHwYMHZ/t95AZXU+8ucqtxOOC774z9Ll0AmDhxIqdOnaJChQp0T18ULA+8/fbbzJ49m19//ZWlO3bQ7q67jNB27lx45ZU8q0NEREREREREcoa3t3emhbby+t7ZdebMGfbs2cO0adO46667AKPVQLqqVasya9YsEhMTM2bb/vnnn5e9zuOPP86bb77J5s2b+f7775kyZUrGuc2bN2O32xkzZgxWqzHvdN68edf1nvz8/AgJCSEsLIx77rnnsvP16tUjIiICV1fXjJnCl6patSp//fVXpswnq/eS0zTTVuR6bNsGhw6Btze0bUtcXBwff/wxAMOHD7/stzu5KTg4mP79+wMwZMgQbGkhMpc08RYRERERERGRW4PFYsHHx8eUcT39bAsVKkSRIkWYOnUq+/fvZ9WqVQwcODDj/OOPP47FYuGZZ55h165dLF26lNGjR1/2OiEhITRt2pSnn34am83GAw88kHGuYsWKpKSkMGHCBP79919mzZqVKdTNrrfffpsxY8Ywfvx49u3bx5YtW5gwYQIAoaGhNGnShE6dOrFy5UoOHTrEH3/8wRtvvMGmTZsAeOmll5gxYwYzZ85k7969DB8+nJ07d153HddLoa3I9Vi0yNi2agXe3kyfPp2zZ89SqVIlHn/88TwvZ8iQIRQqVIgdO3bwtd0OLi5Gz929e/O8FhEREREREREpGKxWK3PmzGHz5s3UqFGDl19+mVGjRmWc9/X15ccff2T79u3UrVuXN954g48++ijL13riiSfYtm0bnTt3ztTOoHbt2owdO5aPPvqIGjVq8M033zBixIjrrrVHjx6MGzeOzz77jOrVq9O+fXv27dsHGCH50qVLufvuu+nVqxe33347jz32GIcPHyYoKAiALl26MGzYMF599VXq16/P4cOHeeGFF667jutlcaQ3eXAikyZNYtSoUURERFC7dm0mTJhAo0aNsrw2fZW4i3l4eJCYmJite2V3xTYRAOrWhfBwmDmT1CefpGLFihw+fJjPP/+cZ5991pSSPv74Y1577TUqVarErvLlcV25Et5+G4YPN6UeEREREREREcmexMREDh48SPny5TMt2iW3tqv9uWY3i3S6mbZz585l4MCBDB8+nC1btlC7dm1at26dsepbVvz9/Tlx4kTGOHz4cB5WLAXG4cNGYGu1Qvv2zJ8/n8OHD1OsWDG6detmWll9+vShSJEi7Nu3j7nlyxsH58wxrR4REREREREREbk5Thfajh07lmeeeYZevXpRrVo1pkyZgre3NzNmzLjicywWCyVKlMgY6dOXRXLU4sXGtlkzHEWKZPRi6du37zVXI8xNvr6+GX1jPlizBpurK+zeDbt2mVaTiIiIiIiIiIjcOKcKbZOTk9m8eTOhoaEZx6xWK6Ghoaxfv/6Kz4uLi6NcuXIEBwfTsWPHPGkGLAVQej/bjh357bff2LhxI56envTp08fcuoB+/foRGBjIP3v28EPNmsbBH34wtygREREREREREbkhThXanj59GpvNdtlM2aCgICIiIrJ8TuXKlZkxYwaLFi3i66+/xm6307RpU44dO5bl9UlJScTExGQaItcUFQVr1xr7HTtmrDLYo0cPihUrZl5dafz9/RkwYAAA7508iR0U2oqIiIiIiIiI3KKcKrS9EU2aNKF79+7UqVOH5s2bM3/+fIoVK8bnn3+e5fUjRowgICAgYwQHB+dxxXJLWroUUlOhenVO+PiwcOFCwGiN4Cz69++Pn58fO/77j2VWK2zbBgcOmF2WiIiIiIiIiIhcJ6cKbYsWLYqLiwuRkZGZjkdGRlKiRIlsvYabmxt169Zl//79WZ4fOnQo0dHRGePo0aM3XbcUAGkhLR07Mn36dFJTU2nWrBk101sROIFChQrx3HPPATA6ffVBzbYVERERERERcXoOh8PsEiQH5cSfp1OFtu7u7tSvX5+wsLCMY3a7nbCwMJo0aZKt17DZbGzfvp2SJUtmed7DwwN/f/9MQ+SqUlJgxQoAbO3aMXXqVACef/55M6vKUv/+/XF1dWVNVBSbQaGtiIiIiIiIiBNzc3MDICEhweRKJCel/3mm//neCNecKianDBw4kB49etCgQQMaNWrEuHHjiI+Pp1evXgB0796d0qVLM2LECADeffdd7rjjDipWrEhUVBSjRo3i8OHD9O7d28y3IfnJ+vUQEwNFi7Ls9GmOHj1KkSJFePjhh82u7DLBwcF06dKFb775hjHA7A0b4OhRUBsQEREREREREafj4uJCYGAgJ0+eBMDb2xuLxWJyVXKjHA4HCQkJnDx5ksDAQFxcXG74tZwutO3SpQunTp3irbfeIiIigjp16rB8+fKMxcmOHDmC1XphgvC5c+d45plniIiIoFChQtSvX58//viDatWqmfUWJL9ZtszYtm7N5LReyb169cLT09PEoq7slVde4ZtvvmEeMBIoO38+vPSS2WWJiIiIiIiISBbSW4KmB7dy6wsMDMx2q9crsTgKeNOMmJgYAgICiI6OVqsEyVqdOrBtG0fGjSPk5ZdxOBzs3buXSpUqmV3ZFYWGhhIWFsZAYMxdd8Gvv5pdkoiIiIiIiIhchc1mIyUlxewy5Ca5ublddYZtdrNIp5tpK+JUjh+HbdvAYmFWZCQOh4MWLVo4dWALMGjQIMLCwpgKvPXbbwRERMBN/oZHRERERERERHKPi4vLTX2dXvIXp1qITMTpLF8OgKNBA778/nsAevbsaWJB2dO6dWuqV69OHDATYOFCcwsSEREREREREZFsU2grcjVp/WzX16zJvn378PHx4aGHHjK5qGuzWCy8+OKLAEwC7PPnm1uQiIiIiIiIiIhkm0JbkStJTYWffwbgy7NnAXjooYfw9fU1s6pse/LJJwn092c/sDwsDKKizC5JRERERERERESyQaGtyJWsXw/R0ZwvXJi5q1cD0KNHD5OLyj4fHx+e6t0bgAl2OyxZYnJFIiIiIiIiIiKSHQptRa4krTXC4qpViY6OpmzZsrRo0cLcmq5Tnz59sADLgb1ffWV2OSIiIiIiIiIikg0KbUWuJC20/TI2FoBu3bphtd5aH5kKFSpw/513AjBp1SpISDC5IhERERERERERuZZbK4ESySsnTkB4OCeBlTt3AtC9e3dza7pBL77xBgAzbTZiFy0yuRoREREREREREbkWhbYiWVmxAoDvy5XDZrPRsGFDbr/9dpOLujH3tWrF7YUKEQvMGjfO7HJEREREREREROQaFNqKZOXnnwGYY7cD8Nhjj5lZzU2xWq3069YNgImbNuFITja5IhERERERERERuRqFtiKXcjggLIxjwG9HjwLw6KOPmlvTTerx9tv4Wiz8Y7cTptm2IiIiIiIiIiJOTaGtyKV27oTISOa5ugJw1113UaZMGZOLujn+hQrRs2pVACZOnmxyNSIiIiIiIiIicjUKbUUu9csvAMzx9gZu7dYIF+v70ksA/HjoEIf+/dfkakRERERERERE5EoU2opcKiyMA8DGmBisVisPP/yw2RXliCo9enCfiwt2YPLw4WaXIyIiIiIiIiIiV6DQVuRiKSmwZg1z0x62bNmS4sWLm1pSjvHwoF/TpgD87/vvOX/+vMkFiYiIiIiIiIhIVhTailxswwaIi2OOiwuQf1ojpGvXty/lgLOJicz59luzyxERERERERERkSwotBW52C+/sAvYbrPh5uZG586dza4oR7m0a0eftEB6wqhROBwOkysSEREREREREZFLKbQVuVhYGN+n7bZq1YpChQqZWk6O8/Xl6dBQPIGtu3fz559/ml2RiIiIiIiIiIhcQqGtSLq4OFi/ngVpDx966CFTy8ktRbp0oWva/sSJE02tRURERERERERELqfQViTdr79yKDWVcMBqtdK+fXuzK8odHTrQz2p89L/77jsiIiJMLkhERERERERERC6m0FYkXVgYC9N277rrLooVK2ZmNbmnaFHqNW9OEyAlJYVp06aZXZGIiIiIiIiIiFxEoa1Iul9+yQhtO3XqZGIheaBzZ/ql7U6ZMoWUlBRTyxERERERERERkQsU2ooAnDzJqb//5re0h/k+tO3UiYeBIOD48eMsWLDgWs8QEREREREREZE84pSh7aRJkwgJCcHT05PGjRuzYcOGbD1vzpw5WCyW/B+4Sc5btYolgB2oU6cOISEhJheUy4KDcW/YkOfSHmpBMhERERERERER5+F0oe3cuXMZOHAgw4cPZ8uWLdSuXZvWrVtz8uTJqz7v0KFDDBo0iLvuuiuPKpV85ZdfSJ9r2rlzZ1NLyTMPPshzgKvFwm+//ca2bdvMrkhERERERERERHDC0Hbs2LE888wz9OrVi2rVqjFlyhS8vb2ZMWPGFZ9js9l44okneOedd7jtttvysFrJFxwO4lasYGXawwIzU7tzZ0oBD6Y9nDRpkpnViIiIiIiIiIhIGqcKbZOTk9m8eTOhoaEZx6xWK6Ghoaxfv/6Kz3v33XcpXrw4Tz/99DXvkZSURExMTKYhBdyBA6w4dowk4Lby5alZs6bZFeWNypWhWjX6ORwAfP3115w7d87kokRERERERERExKlC29OnT2Oz2QgKCsp0PCgoiIiIiCyf8/vvvzN9+nSmTZuWrXuMGDGCgICAjBEcHHzTdcstLiyMhWm7nTp3xmKxmFlN3urcmTuBWgEBnD9/npkzZ5pdkYiIiIiIiIhIgedUoe31io2NpVu3bkybNo2iRYtm6zlDhw4lOjo6Yxw9ejSXqxRnl7JyJUvS9gtMP9t0nTtjAfqdPw8YLRJsNpu5NYmIiIiIiIiIFHCuZhdwsaJFi+Li4kJkZGSm45GRkZQoUeKy6w8cOMChQ4fo0KFDxjG73Q6Aq6sre/bsoUKFCpme4+HhgYeHRy5UL7cku521P/9MFFAsMJAmTZqYXVHeqlcPypbl8SNHeNXHh3///Zfly5fTrl07sysTERERERERESmwnGqmrbu7O/Xr1ycsLCzjmN1uJywsLMswrUqVKmzfvp3w8PCM8cADD3DPPfcQHh6u1gdybeHhLIiNBaDjgw/i4uJickF5zGKBzp3xAZ4qVw6AiRMnmluTiIiIiIiIiEgB51QzbQEGDhxIjx49aNCgAY0aNWLcuHHEx8fTq1cvALp3707p0qUZMWIEnp6e1KhRI9PzAwMDAS47LpIV+8qVLErb7/Tgg6bWYpoHH4RPP6XPsWN8YrGwfPly9u7dy+233252ZSIiIiIiIiIiBZJTzbQF6NKlC6NHj+att96iTp06hIeHs3z58ozFyY4cOcKJEydMrlLyi00LFvAf4OvhQcuWLc0uxxzNmkGxYlSIieH+Ro0AGDdunLk1iYiIiIiIiIgUYBaHw+EwuwgzxcTEEBAQQHR0NP7+/maXI3kpMZHX/fwYkZrKo23aMHfZMrMrMk/v3jB9Oqs7duTeRYvw9PTkyJEjFCtWzOzKRERERERERETyjexmkU4301Ykz6xfz4LUVAA6detmcjEmS2sN0WLDBurXr09iYiKTJk0yuSgRERERERERkYJJoa0UWLvnzGE34Ga1cn+7dmaXY66WLcHPD8uJEwzu1AkwFiRLSEgwty4RERERERERkQJIoa0UWAvT2iHcW60aAQEBJldjMg8PSAuuH4qOpnz58pw5c4YvvvjC3LpERERERERERAoghbZSMEVFsfDoUQA6P/GEycU4ic6dAXBduJCBL78MwNixY7HZbGZWJSIiIiIiIiJS4Ci0lQLpvx9+4C/AAjzQo4fZ5TiHtm2NGbf799OrcWMKFy7MgQMHWLBggdmViYiIiIiIiIgUKAptpUBaPGsWAHeUKEHJkiVNrsZJ+PnBffcB4LNiBX379gVgxIgROBwOMysTERERERERESlQFNpKgbRg40YAOrVqZXIlTiatRQILFtC/f398fHzYsmULP/30k7l1iYiIiIiIiIgUIAptpcCJ2rmT1QkJAHTu39/kapzMAw+A1Qpbt1I0NjZjtu0777yj2bYiIiIiIiIiInlEoa0UOD+NH08qUM3Li0r165tdjnMpWhTuvtvYX7CAQYMG4e3tzaZNm1i2bJm5tYmIiIiIiIiIFBAKbaXAWbh8OQCd69Y1uRIn9fDDxvbbbylWrBh9+vQBNNtWRERERERERCSvKLSVAuV8QgLLjh4FoFO3biZX46QefRRcXWHTJti9m0GDBuHl5cWGDRtYnhZ4i4iIiIiIiIhI7rmp0DYlJYWjR4+yZ88ezp49m1M1ieSasC++IN7hoIzFQv0ePcwuxzkVKwZt2hj7X39NUFAQL7zwAgBvvPEGdrvdxOJERERERERERPK/6w5tY2NjmTx5Ms2bN8ff35+QkBCqVq1KsWLFKFeuHM888wwbN27MjVpFbtqCr74CoFOZMli8vEyuxok9+aSx/fprsNsZMmQI/v7+bN26lW+//dbc2kRERERERERE8rnrCm3Hjh1LSEgIM2fOJDQ0lIULFxIeHs7evXtZv349w4cPJzU1lVatWtGmTRv27duXW3WLXDebzcbirVsB6Ny2rcnVOLkHHgA/Pzh8GNato1ixYgwZMgQwZtsmJiaaXKCIiIiIiIiISP5lcVzHykJdu3blzTffpHr16le9LikpiZkzZ+Lu7s5TTz1100XmppiYGAICAoiOjsbf39/sciQX/bpqFc1btqQQcHLDBlwbNjS7JOf21FMwcyY8+yx8/jkJCQncfvvt/Pfff4wZM4aBAweaXaGIiIiIiIiIyC0lu1nkdYW2Fzt58iTFixe/4QKdhULbgmPgY4/xydy5dPfw4MuEBLBqHb6rWrUKWraEwEA4cQI8PZk5cyZPPfUUhQoVYv/+/RQuXNjsKkVEREREREREbhnZzSJvOLV6+OGHsdlsWZ5LTU290ZcVyRUOh4MFK1YA0LlBAwW22dGiBZQpA1FR8NNPAHTv3p2aNWty7tw5Xn/9dVPLExERERERERHJr244uQoMDKR///6XHT9z5gyhoaE3VZRITvv77785FBWFF9DqscfMLufWYLVeWJDsf/8DwMXFhYkTJwIwdepUNmzYYFZ1IiIiIiIiIiL51g2Htl999RU///wzM2bMyDj2zz//0KhRI3x8fHKkOJGcsmDuXABaA97t2plbzK3k6aeN7YoVxqJkwN1330337t1xOBy88MILV5xxLyIiIiIiIiIiN+amZtr+8MMPDB48mA0bNrBixQqaNGlCp06d+PHHH3OyRpGbtnDOHAA6FS0K5cubXM0tpGJFuPdecDjgol/QfPzxxwQGBrJlyxYmTZpkYoEiIiIiIiIiIvnPdYW2Dz74IO+++y6LFy/myJEj1KxZk4kTJ3L//ffz0EMP8cknnzBmzBis6hcqTuTgwYNsO3gQF6B927Zml3PreeYZYztjBqTNqg0KCuLDDz8EYMiQIezbt8+s6kRERERERERE8p3rSlcrVKjAb7/9Ru/evQkJCaFIkSJMmzYNh8PB448/Tr169UhJScmtWkVuyMKFCwG4GyjSvr2ptdySOneGIkXg2DFYvjzj8HPPPce9997L+fPn6dGjh9okiIiIiIiIiIjkkOsKbUeNGsXPP//MyZMnOXr0KF999RUtW7bk3nvvZfXq1dSrVw9fX19q1659U0VNmjSJkJAQPD09ady48VUXO5o/fz4NGjQgMDAQHx8f6tSpw6xZs27q/pK/pPez7QzGV/3l+nh4QI8exv7UqRmHrVYrM2fOxM/Pj/Xr1/PRRx+ZVKCIiIiIiIiISP5icTgcjpx6sbi4OMLDw9m2bRt9+/a9odeYO3cu3bt3Z8qUKTRu3Jhx48bx3XffsWfPHooXL37Z9WvWrOHcuXNUqVIFd3d3lixZwiuvvMJPP/1E69atr3m/mJgYAgICiI6Oxt/f/4ZqFud18uRJSpYogd3h4HD16pTdscPskm5N//wD1aqBiwv8+y+ULZtx6osvvqBXr15YrVbCwsJo0aKFeXWKiIiIiIiIiDix7GaRORra5oTGjRvTsGFDJk6cCIDdbic4OJgXX3yRIUOGZOs16tWrR7t27Xjvvfeuea1C2/xt+vTp9O7dm/rApsGD4eOPzS7p1tWyJaxaBa++ChfNqnU4HPTo0YNZs2ZRvHhxtmzZQunSpU0sVERERERERETEOWU3i7yu9ghHjhy5riL++++/67o+OTmZzZs3ExoamnHMarUSGhrK+vXrr/l8h8NBWFgYe/bs4e67776ue0v+NH/+fCCtNcJF/7uSGzBggLGdOhXi4jIOWywWpkyZQq1atTh58iQPPfQQCQkJ5tQoIiIiIiIiIpIPXFdo27BhQ5577jk2btx4xWuio6OZNm0aNWrU4IcffriuYk6fPo3NZiMoKCjT8aCgICIiIq56T19fX9zd3WnXrh0TJkzgvvvuy/LapKQkYmJiMg3Jn2JiYvjl558B6OzmBnfeaXJFt7h27aBiRYiKgq++ynTK29ubH374gUKFCvHXX3/x2GOPkZqaak6dIiIiIiIiIiK3ONfruXjXrl188MEH3HfffXh6elK/fn1KlSqFp6cn586dY9euXezcuZN69erx8ccfc//99+dW3Zn4+fkRHh5OXFwcYWFhDBw4kNtuuy3L3pojRozgnXfeyZO6xFzLli0jOSWFykDVZs3A29vskm5tViu89BK8+CKMGwfPP28cS1OxYkV+/PFHQkND+fHHH+nduzfTp0/HxcXFvJovER0dTWRkJKdPnyYlJQVXV1f8/PwoW7YsgYGBZpcnIiIiIiIiIgLcYE/b8+fP89NPP/H7779z+PBhzp8/T9GiRalbty6tW7emRo0aN1RMcnIy3t7efP/993Tq1CnjeI8ePYiKimLRokXZep3evXtz9OhRVqxYcdm5pKQkkpKSMh7HxMQQHBysnrb5UJcuXZg3bx5DgBEffACvv252Sbe+uDgoUwaio2HxYujQ4bJLFi5cyEMPPYTdbuexxx7jq6++ws3NLc9LtdvtbNq0icWLF7Nx40a2b9/OiRMnrnh94cKFady4MXfeeSedOnWiWrVqeVitiIiIiIiIiBQEebYQWXrf2pxaeKhx48Y0atSICRMmAEbwUrZsWfr165fthcieeuop/v33X9asWXPNa7UQWf6UmJhIsWLFiIuLYwPQcPNmqFfP7LLyh1dfhVGjoHFjWL8eLJbLLvn+++95/PHHSUlJ4b777uPbb7+lSJEiuV5aSkoKa9euZcGCBSxatCjLvtq+vr4UK1YMT09PUlNTOXv2LGfOnLnsuho1avDcc8/Rq1cvfHx8cr12EREREREREcn/cj20XbduHU8++WTG4mRFixalZ8+evPHGGzcVfs6dO5cePXrw+eef06hRI8aNG8e8efPYvXs3QUFBdO/endKlSzNixAjAaHfQoEEDKlSoQFJSEkuXLmXIkCFMnjyZ3r17X/N+Cm3zpyVLltChQwfKAEeKFsUSGZnpq/xyEyIjISQEEhNh5Uq4Qv/opUuX8sgjj5CQkEBISAhz586lUaNGOV5OfHw8y5cvZ+HChSxZsoSoqKiMc76+vtx///20bNmSWrVqUa1atSw/5wkJCezatYv169ezcuVKVqxYQUpKCgCFChXilVdeYeDAgXh5eeV4/SIiIiIiIiJScOR6aFujRg3Kli3L+++/j7+/P3/88Qeffvop0dHRrF279qZm3k6cOJFRo0YRERFBnTp1GD9+PI0bNwagRYsWhISE8MUXXwDw5ptvMnfuXI4dO4aXlxdVqlThpZdeokuXLtm6l0Lb/Onpp59mxowZ9AMmPPEEfP212SXlLy+/bPS1bdYMfvsty9m2AH///TedO3fm33//xWq10r9/f95++20CAgJu6vanT5/mxx9/ZMGCBfz8888kJiZmnCtWrBgdO3akc+fO3HvvvXh6el7360dFRTF79mw++eQT9u/fD0BwcDBjxozhkUceuanaRURERERERKTgyvXQ1svLi23btnH77bdnHHM4HDz66KMAfPfddzfysnlOoW3+k5qaSsmSJTl9+jSrgHtmzYInnzS7rPzl+HG47TZISoKwMLj33iteevbsWV588UVmz54NQGBgIP3796d3794EBwdn63YOh4MdO3bw008/sXTpUtatW4fdbs84f9ttt9G5c2c6depEkyZNcmzxM5vNZvRFHjIk41sFjz76KJMmTaJo0aI5cg8RERERERERKThyPbStV68e48eP584778x0/J9//qFRo0bExsbeyMvmOYW2+c+aNWu45557KAJEAK6RkVC8uNll5T8vvggTJ0KjRkZv22u0n1i2bBkDBw5k9+7dGceaNm3KXXfdRb169ShdujSBgYHYbDbi4uI4cuQI+/btY8OGDWzYsIGTJ09mer26devSqVMnOnfuTI0aNbBcYbZvTjh//jwjRozgww8/xGazERQUxNy5c2nevHmu3VNERERERERE8p9cD23Hjx/PzJkzWbx4cabZcn/++ScPPfRQlgsAOSOFtvnPSy+9xPjx4+kJzKxbF7ZsMbuk/CkiAipVgrg4mD0buna95lNsNhvz589n0qRJ/Prrr1zPXz+enp7ce++9tGvXjnbt2lGuXLmbqR4cDoiOhjNnIDUVfH2hWDFwd7/iUzZv3kz37t3ZtWsXrq6ujB07ln79+uVqYCwiIiIiIiIi+Ueuh7bWtFl17u7uPPjgg9SpUwebzcbXX3/N66+/zhNPPHFjlecxhbb5i8PhoFy5chw9epTFQIchQyBt0TrJBe+/D8OGQdmysHs3XMdCXceOHWP58uX89ddf7Ny5k4iICGJiYnBzc8PLy4vg4GBCQkKoV68ejRo1om7dujfUnzaD3W4E+EuWwK+/Qng4nDuX+RpXV6hcGZo0gfbtoVWry95TQkICvXv35ttvvwXgmWee4bPPPsPV1fXGaxMRERERERGRAiHXQ9vIyEjCw8PZtm0b4eHhhIeHs2/fPiwWC1WrVqVmzZrUqlWLWrVq0aZNmxt+I7lNoW3+smnTJho2bIgPcBrwXLMG9BX23JOQYIScx47Bhx/C0KFmV3S5U6dgxgz4/HM4ePDy897e4OZmzBi22TKfK1wYnn0W+veHkiUzDjscDj755BMGDx6M3W6nU6dOzJ49G6/rCK1FREREREREpODJ9dA2K4mJiWzfvj1TmLtjxw6ioqJy6hY5TqFt/vLGG2/w4Ycf8jDwna+v8dX3q3zdXXLA119Dt27GjNTt26FCBbMrMkRGGrOsp0wxFkwD8PExZs+2bQsNGkCVKhdm0jocRvi8bRusXAkLF8LRo8Y5b28YNAhefdV4jTTz58/n8ccfJykpibvvvpsff/xRf4+IiIiIiIiIyBWZEtreihTa5i9Vq1Zl9+7dzAa6PvAALFpkdkn5n8MBLVvC6tVw773wyy9gZo/XuDhj1u+nnxozgQHq14c+feCxx4wANjtsNqOVwsiR8OefxrEKFeCLL+CiBRjXrl3LAw88QExMDM2aNWP58uX4+vrm7HsSERERERERkXwhu1nk1Zd7F7mF7Nq1i927d+NmsXA/gBO35chXLBaYNs2YsbpqFUyfbl4tixZBtWrGDNuEBGjUyJg1u3EjPPVU9gNbABcX6NgR/vgDvvsOgoPhwAG4+254882MVgrNmzdn9erVBAYGsm7dOtq1a0d8fHwuvUERERERERERKQgU2kq+MW/ePABaAwEArVubWU7BUqECvPeesd+/P+zYkbf3P3oUOneGTp2M/ZAQo73Bn3/Cfffd3MxfiwUeftho/dCzpzGz+IMPjEA3OhqAevXqsXLlSvz9/fn111954IEHSExMzIE3JiIiIiIiIiIFkUJbyTfSQ9tHHQ6oWBFuu83kigqYl182+sWePw+PPGK0Kchtqakwbpwxu3bhQnB1hSFDYOdOI1TNyTYNAQEwc6bRw9fTE376CZo2hf/+A6Bhw4YZrRFWrVpFt27dsNvtOXd/ERERERERESkwFNpKvrBz507++ecf3K1WHgBjoSnJW1arEWiWKgW7d8OTTxqham7ZtMlof/Dyy0ZA3LQpbN1qtEa4njYI1+uJJ+D336F0adi1y+hve+AAAE2aNGHRokW4ubnx/fff8/LLL1PA24aLiIiIiIiIyA1QaCv5QkZrBDc3ozVChw6m1lNgFSsG8+aBh4fRX7ZvX6OdQE6KjoZ+/YzAdutWCAyEqVPht9+gRo2cvdeV1K8P69YZM7oPHTKC2927Abj33nv58ssvARg/fjxjxozJm5pEREREREREJN9QaCu3PIfDcaE1QlIS+Poai0WJOZo1g9mzjdYEU6fCc89lLNp1UxwO+PZbqFIFJk0yHj/+uBGWPvOMMdM3L5UrZwTFtWpBRASEhsLBgwB07dqV0aNHAzB48GDmzp2bt7WJiIiIiIiIyC1Noa3c8nbu3Mnu3bvxcHExWiO0amXM9BTzPPgg/O9/RpA6bZqxSNi5czf+en/8Ac2bGyFtRATcfjv88gt88w0EBeVc3derRAkICzN66v73nxHcHj8OwCuvvMKAAQMA6NmzJ5s2bTKvThERERERERG5pSi0lVteRmsEPz/8Adq1M7UeSfPUU0arBHd3+PFHqF0bli3LfrsEh8PoHfvAA8bs3d9+MxYAe+89+PtvaNkyd+vPrqJF4eefjYXv/v3X+KVBVBQAo0ePpl27diQmJtKpUydOnDhhbq0iIiIiIiIicktQaCu3tEytEdKCMu6/37yCJLOHHjJ6v1aoAEePGn82LVvC999DYuLl1zscRvA5diw0aAB33WUEvi4uRguEffvgzTedbyZ1qVLGjNtSpWDnTnj0UUhJwcXFhdmzZ1O1alX+++8/OnXqxPnz582uVkREREREREScnMVRwJc2j4mJISAggOjoaPz9/c0uR67T9u3bqVWrFh6urpxMTcW/YUPYsMHssuRSsbHw7rswfjwkJxvH3NyM2belShmzcc+cgV27IDLywvM8PeHJJ2HQIKhc2Zzar8fWrUbQHB8Pzz4LU6aAxcL+/ftp3LgxZ8+e5YknnmDWrFlYLBazqxURERERERGRPJbdLFIzbeWWlj7Ltk3RokZrhPbtTa1HrsDPD0aNgr174fXXoUwZSEmBTZtg8WJj5u3q1UZg6+ICLVrAp5/CsWNGT9xbIbAFqFvXWCwtfRG2MWMAqFixIt999x0uLi588803jBo1yuRCRURERERERMSZaaatZtreshwOB1WqVGHv3r184+HB40lJsHkz1KtndmlyLQ4HHDxozEw9cwaSkqBIEShf3ph96+1tdoU3Z9w4ePllI7xduhTatAHgs88+o2/fvlgsFpYuXUqbtOMiIiIiIiIiUjBkN4tUaKvQ9pa1adMmGjZsiJeHB5FJSfiVKmXMzNTXzsVsDgc8/7wx27ZQIWNG8W234XA4eO6555g2bRoBAQFs3LiRSpUqmV2tiIiIiIiIiOQRtUeQfO+bb74BoGPZsvgBtGunwFacg8Vi9O9t3BjOnYMHH4SEBCwWCxMnTqRp06ZER0fTsWNHYmJizK5WRERERERERJyMQlu5JdlsNubMmQPAE+fOGQfVz1aciYeH0au3eHHYts2Yeetw4O7uzg8//EDp0qX5559/6NatG3a73exqRURERERERMSJKLSVW9KqVauIiIigSEAArU+fBh8fuO8+s8sSyaxMGZg3z1hcbdYsmDgRgBIlSrBgwQI8PDxYvHgx77zzjsmFioiIiIiIiIgzUWgrt6T01giP3nYbbgD33w9eXqbWJJKl5s1h9Ghjf+BA+OMPABo2bMjUqVMBePfdd5k/f75ZFYqIiIiIiIiIk3HK0HbSpEmEhITg6elJ48aN2bBhwxWvnTZtGnfddReFChWiUKFChIaGXvV6ufWdP38+I+B64swZ42DnziZWJHINL70EXbpAaio88gicPAlA9+7dGTBgQMb+jh07TCxSRERERERERJyF04W2c+fOZeDAgQwfPpwtW7ZQu3ZtWrduzcm0kONSa9asoWvXrqxevZr169cTHBxMq1at+O+///K4cskrP/74I7GxsYSULk3TI0fA3d1YhEzEWVks8L//QdWqcPw4PPaYEeACo0aN4t577yU+Pp6OHTty9uxZk4sVEREREREREbM5XWg7duxYnnnmGXr16kW1atWYMmUK3t7ezJgxI8vrv/nmG/r06UOdOnWoUqUK//vf/7Db7YSFheVx5ZJX0lsjPF6xIhaA0FDw9ze1JpFr8vWF+fON7erVMGwYAK6ursydO5eQkBD+/fdfHnvsMVLTAl0RERERERERKZicKrRNTk5m8+bNhIaGZhyzWq2Ehoayfv36bL1GQkICKSkpFC5cOMvzSUlJxMTEZBpy6zh79izLli0D4IlTp4yDao0gt4oqVWD6dGN/5EhYtAiAokWLsmjRIry9vfn5558ZMmSIiUWKiIiIiIiIiNmcKrQ9ffo0NpuNoKCgTMeDgoKIiIjI1mu89tprlCpVKlPwe7ERI0YQEBCQMYKDg2+6bsk73377LSkpKdSpVo1qu3aB1QoPPGB2WSLZ9+ijkNbHlh49YP9+AGrVqsUXX3wBwJgxYzJmlIuIiIiIiIhIweNUoe3NGjlyJHPmzGHBggV4enpmec3QoUOJjo7OGEePHs3jKuVmpLfJ6FW5snHgzjuheHETKxK5AR9/DM2aQXQ0PPQQJCQA8Mgjj/D6668D0Lt3bzZv3mxmlSIiIiIiIiJiEqcKbYsWLYqLiwuRkZGZjkdGRlKiRImrPnf06NGMHDmSlStXUqtWrSte5+Hhgb+/f6Yht4a///6bLVu24ObmxuMnThgHH3zQ3KJEboSbG8yda/zC4e+/4YUXwOEA4L333qNdu3YkJibSqVOny/4+FBEREREREZH8z6lCW3d3d+rXr59pEbH0RcWaNGlyxed9/PHHvPfeeyxfvpwGDRrkRaligpkzZwLQsVUriv71l3FQoa3cqkqXNoJbqxW++gqmTQOMPt7ffPMNlStX5tixYzz88MMkJyebXKyIiIiIiIiI5CWnCm0BBg4cyLRp0/jyyy/5559/eOGFF4iPj6dXr14AdO/enaFDh2Zc/9FHHzFs2DBmzJhBSEgIERERREREEBcXZ9ZbkFyQnJzM119/DUCvkiWNWYl33gnqSSy3shYtYMQIY//FF2HTJgACAgJYtGgR/v7+/P7777z00kvm1SgiIiIiIiIiec7pQtsuXbowevRo3nrrLerUqUN4eDjLly/PWJzsyJEjnEj/ajwwefJkkpOTefjhhylZsmTGGD16tFlvQXLBkiVLOH36NCVLlqRVeLhxsGtXU2sSyRGDB0OnTpCcDA8/DGfOAFC5cmVmz56NxWJhypQpTJ061dw6RURERERERCTPWByOtEaKBVRMTAwBAQFER0erv60Ta9++PT/99BNDnnuOEZ9/bnyl/MQJLUIm+UN0NDRoAPv3Q+vW8NNP4OICwIcffsgbb7yBm5sbq1evplmzZiYXKyIiIiIiIiI3KrtZpNPNtBW51IkTJ1i2bBkAvby8jIMtWyqwlfwjIAB++AG8vGDFCnj//YxTQ4cO5ZFHHiElJYWHHnqII0eOmFioiIiIiIiIiOQFhbbi9GbMmIHdbqdp06bc/ssvxkG1RpD8plYt+PxzY/+dd2D5cgAsFgszZ86kVq1aREZG0rp1a06fPm1ioSIiIiIiIiKS2xTailOz2WwZvTyfa9cOduwANzfo3NnkykRyQbdu8PzzxkJ7TzwBhw4B4OPjw5IlSwgODmb37t20bduW2NhYc2sVERERERERkVyj0Fac2rJlyzhy5AiFCxfm0ZgY42DbthAYaGpdIrlm3Dijv+3Zs8bCZAkJAAQHB7Ny5UqKFi3Kpk2b6NixI4mJiebWKiIiIiIiIiK5QqGtOLXJkycD0KtnTzy//dY4qNYIkp95eMD330ORIrB5Mzz+ONhsAFSpUoVly5bh6+vL6tWreeSRR0hKSjK5YBERERERERHJaRaHw+EwuwgzZXfFNsl7Bw8epEKFCjgcDvZ++SWVevQwFmw6ccJYsEkkP/v9dwgNhaQk6NMHJk4EiwWA1atXc//995OYmEibNm2YP38+XrfiZ8Juh127YPt2OHgQjhyBuDg4fx5cXaFQISO8rlwZqlWDmjWNUFtERERERETkFpXdLNI1D2sSuS5Tp07F4XBw3333USl9AbLHHlNgKwXDnXfCN9/AI4/AZ59BuXLw6qsA3HPPPSxZsoQOHTqwfPlyHnjgARYtWoS3t7fJRWfDwYOwaBEsWwZ//gnpbU+yw8vL+Lm0bg1dukCZMrlXp4iIiIiIiIiJNNNWM22dUlJSEsHBwZw6dYofZs3iwWefNWbfrV8Pd9xhdnkieefTT2HAAGN/yhR47rmMU2vXrqVdu3bEx8dz5513smjRIgoXLmxOnVdz7hzMmgUzZ0J4eOZzPj5Qty5UqAAhIeDvb4SzKSkQFWXMrN+921iE8PTpC8+zWKBFC+jbFzp1AheXPHs7IiIiIiIiIjdKM23lljZv3jxOnTpFqVKl6JCQYAS2lStD48ZmlyaSt156CY4fh48/huefN8LJ3r0BaN68OStWrOD+++/n999/p2nTpixdupTbbrvN5KLTbNoE48fDd99B+qJpVivcfTc88ADccw/UqGG0QrgWh8NopfDLL/DDD/Dbb7B6tTFuuw0GDoRnngF399x9TyIiIiIiIiJ5QAuRidNxOByMHTsWgH79+uE2a5ZxomfPjJ6eIgXKyJEXZts++yzMmJFxqlmzZvz+++8EBwezZ88e7rjjDtavX29OnenWrYO2baFhQ2OGbWIi1KoFkyZBZKQRtL78MtSpk73AFozPfvXqRoj9669Gm4U334TCheHff6FfP6haFebONQJeERERERERkVuYQltxOmvWrCE8PBwvLy+eu+8+Y0EmqxW6dTO7NBFzWCwwdiy8+KIRSD79NIwZk3G6Zs2a/Pnnn9StW5dTp07RvHlzPv30U/K0+43DAatWGbNn77wTli83ZgV36wZ//WW0RejTB4oWzZn7hYTAe+8Zi5dNmAAlShjh7WOPQZMmsG1bztxHRERERERExAQKbcXpfPLJJwD07NmTwvPmGQdbtYLSpU2sSsRkFkvm/raDBhmzVe12AEqVKsWvv/7Kww8/TEpKCgMGDODRRx/l7NmzuVuXw2EsKnbnndCyJaxZA25uRquCvXvhq6+gUaPcmyXv42PMst2/H959F3x9jZC4fn0YOtRorSIiIiIiIiJyi9FCZFqIzKns3buXypUrA7Dn77+5/Z574MwZWLgQOnY0tzgRZ+BwGLNsBw82Hrdta7QgKFIk7bSDiRMn8sorr5CSkkKJEiX47LPP6Ny5c87WYbfD4sXw/vuwebNxzNPTCGsHD4bg4Jy9X3YdPw79+xt9bwEqVoSvv1Y/bBEREREREXEK2c0iNdNWnMqnn34KQPv27bl92zYjsC1TBtq1M7kyESdhsRizbGfPNkLSZcuMWaUbNqSdtvDiiy+ybt06qlatSkREBA8++CAPPfQQBw4cuPn7p6Ya965dGzp3NgJbb2+jpoMHjYXHzApsAUqVgu+/N37RU7q0MQO3WTMjXLbZzKtLRERERERE5DootBWncfr0ab744gsABg4cCJMnGyeeey77ixWJFBRdu8Kff0KFCnD4sNHHdfBgSEgAoGHDhmzZsoXXX38dFxcX5s+fT9WqVXnppZeIiIi4/vslJsLnn0PlyvDEE7BjB/j5weuvG/cfNcroK+ssOnY0anzsMSOsHTYMmjeHQ4fMrkxERERERETkmhTaitP49NNPSUhIoF69erQoXBj++MMIa3v3Nrs0EedUu7Yx07VrV6NdwejRUK0afPkl2Gx4enrywQcfsHXrVtq0aUNKSgrjx4+nXLly9OrVi/Dw8Gvf499/4bXXjNmzzz9vPC5aFD74wFgE7IMPcm5xsZwWGGjMCv7qKyNgXrcO6tWDpUvNrkxERERERETkqtTTVj1tnUJUVBTlypUjJiaG+fPn03nlSpgyBR55BNIXIxORK1uyBF54AY4dMx5Xrgx9+kC3blCoEAC//PILb731FuvXr894Wo0aNXjsscfo2LEj1atXx2KxGG1JFiwwPnu//GL00QUjuB00yPhFirf3TZXrcDiw2WwZw8XFBQ8Pj5t6zas6eBC6dIGNG43Hw4bB8OHg4pJ79xQRERERERG5RHazSIW2Cm2dwgcffMCbb75J9erV+XvtWqzlykF8PKxaBffcY3Z5IreGhASYOBFGjoRz54xj7u5GW4BWraBuXahWjT8PHOCTCRNYsGABKSkpGU8v5u1Nc09Pap87R3WHg0pAEFDkvvuw9ukD7dtf1qrEZrMRGxvLqVOnshynT5/m3Llzl43ExMTLyndzc8PPzw9/f39KlChB2bJlCQ4OpmLFitSqVYuaNWvi5+d34z+fpCR4+eULrVfuu8+YieusM4VFREREREQk31Fom00Kbc0XHx9PuXLlOHPmDN988w2PHzkCQ4dCrVoQHm4svCQi2RcTA19/bcxW374962s8PDiXnMxCh4N5wK9AwhVezsXFBT8/P9zc3HBzc8NisZCQkEBCQgJJSUm59CayVrFiRe666y5atGhBixYtKFu27PW/yKxZRq/s8+eN2cPffw+NGuV8sSIiIiIiIiKXUGibTQptzTd27FheeeUVKlasyD/btuFasSKcOGH05eze3ezyRG5dDgfs2QPLl8OaNbBzJxw4cKHdQbqAAJIrVWJjiRKs8/ZmZ2oqOw8f5tChQ5w5cyZbt/L19aVYsWKXjaJFi1K4cGEKFSpEYGAghQoVolChQvj4+ODi4pIx0mfsxsbGEhMTw/Hjxzly5AiHDx9mz549bNu2jePHj19236pVq9K5c2c6d+5M/fr1jfYO2bF9Ozz0EOzbZ8xG/vRTI8jVL4lEREREREQkFym0zSaFtuaKjY2lQoUKnDp1iv/973887eoKPXtCqVJGD0p3d7NLFMlfUlIgNtYYHh7GAl3e3lcMK1NSUjh58iRxcXGkpKSQkpKCw+HA29sbb29vfHx88PX1zd1+tGlOnz7Npk2bWLNmDWvWrGHTpk3YbLaM82XLlqVbt2707NmTihUrXvsFo6OhVy+jfy9Ajx7w2Wc33a9XRERERERE5EoU2maTQltzvffee7z11ltUqlSJnTt24NaggTEDbsQIGDLE7PJExIlFRUWxdOlSFixYwLJly4iPj884d9ddd/H000/TpUsXPD09r/wiDgeMHm38fWO3Q+3a8MMPUKFCHrwDERERERERKWiym0Va87CmbJk0aRIhISF4enrSuHFjNmzYcMVrd+7cyUMPPURISAgWi4Vx48blXaFy006fPs2oUaMAI7x1W73aCGx9fIyvKYuIXEVgYCCPP/443333HadOnWLu3Lm0adMGq9XKb7/9Rs+ePSlbtizDhw8nIiIi6xexWGDwYPj5ZyhWDLZtg/r1YcmSvH0zIiIiIiIiIhdxqtB27ty5DBw4kOHDh7NlyxZq165N69atOXnyZJbXJyQkcNtttzFy5EhKlCiRx9XKzRo5ciSxsbHUqVOHRx5+GN55xzjx7LNQqJC5xYnILcXLy4tHH32UZcuWceTIET744AOCg4M5deoU7777LmXLlqV79+5s27Yt6xe4917YsgXuuMNom9ChAwwbBhe1XxARERERERHJK07VHqFx48Y0bNiQiRMnAmC32wkODubFF19kyDW+Kh8SEsKAAQMYMGDAdd1T7RHMcfToUSpVqkRSUhJLly6lrasrtGoFnp5GL1uF8CJyk1JTU1mwYAHjxo3jjz/+yDjerl073njjDZo0aXL5k5KT4ZVXIO2/Q7RqBd98A0WL5lHVIiIiIiIikp/dcu0RkpOT2bx5M6GhoRnHrFYroaGhrF+/3sTKJDcMGTKEpKQk7r77btq0bn1hlu1zzymwFZEc4erqyiOPPMK6devYsGEDXbp0wWq18tNPP9G0aVPuvfdewsLCyPS7S3d3mDABvv7aWJBs5UqjXcJVWvWIiIiIiIiI5DSnCW1Pnz6NzWYjKCgo0/GgoKAr9yK8AUlJScTExGQakrfWrVvH7NmzsVgsfPLJJ1hWr4Z164yV7F991ezyRCQfatiwIXPmzGH37t089dRTuLq6snr1akJDQ2nSpAmLFy/OHN4+8QT8+SdUrAhHjkCzZvD++5Caat6bEBERERERkQLDaULbvDJixAgCAgIyRnBwsNklFSg2m43+/fsD8PTTT1Ovbl2jbyQYs2xLlTKxOhHJ7ypVqsT06dM5cOAAL774Ip6envz111907NiR2rVrM2fOHGzpfWxr1oRNm+DRR42wdtgwuPtuOHDA3DchIiIiIiIi+Z7ThLZFixbFxcWFyMjITMcjIyNzdJGxoUOHEh0dnTGOHj2aY68t1zZz5ky2bNlCQEAAH3zwAfzwA6xfb3wN+Rp9i0VEckrZsmUZP348hw4d4rXXXsPPz4/t27fTtWtXqlSpwvTp00lOToaAAJgzB2bNAn9/4++r2rVh0iQtUiYiIiIiIiK5xukWImvUqBETJkwAjIXIypYtS79+/bQQWT5w+vRpqlatyunTpxk7diwv9+0L1aoZs9aGD4e33za7RBEpoM6dO8fEiRMZN24cZ8+eBaBMmTIMHjyY3r174+3tbbRJ6NED1qwxntSwIUyZAvXqmVf4zYqMhO3bjQUgjxwxxsmTEBdnjIQEcHMzev16eECxYlCypDEqVYLq1aFKFWMRSREREREREbmm7GaRThXazp07lx49evD555/TqFEjxo0bx7x589i9ezdBQUF0796d0qVLM2LECMBYvGzXrl0A3H///TzxxBM88cQT+Pr6UrFixWzdU6Ft3unWrRtff/011atXZ+vWrbhNngwvvWQsPLZvH/j6ml2iiBRwcXFxTJ06ldGjR3PixAkAihUrxssvv0yfPn0I8PODyZPh9dchJgasVujTB956ywg0nVlsLPz+uxE6b9kCf/9tBLQ3y2qFGjXgrruM0by5FpQUERERERG5glsytAWYOHEio0aNIiIigjp16jB+/HgaN24MQIsWLQgJCeGLL74A4NChQ5QvX/6y12jevDlr0mdCXYNC27yxfPly2rZti8ViYf369TSuVAluvx3OnIHPP4dnnzW7RBGRDImJiXz55Zd89NFHHDx4EABfX1969uxJ3759qRIQAAMHGq0TjJMwaJBxzM/PxMovEhtrLPK4Zg2sXg2bN1/e0sFiMWbMVqoEZcsao0QJ4z34+hqta1JTITnZmHV78iRERMCxY7B7N+zcCefOXX7vxo2hY0djVK1q3EdERERERERu3dA2rym0zX2xsbHUqFGDI0eOMGDAAD755BNj0bGpU42v1oaHg6ur2WWKiFwmNTWVOXPmMGLEiIxvdgDcd9999OvXj/s9PXF9/XUjEAUoVMj4+61fPyhdOm+LjYvLHNJu2nR5SHvbbdCiBTRpYvTmrV7dCGZvlMMBJ07AH3/Ar7/Cb78Zf6dfrHp1o63Ek08abRVEREREREQKMIW22aTQNve98MILTJkyhZCQEHbs2IHPtm3QrJlx8tdfja/Tiog4MYfDQVhYGBMnTmTx4sWk/6ezRIkSPN61K91KlqT2//6HZe9e4wmurtCpkxFUtmlj9IPNadHRRkj766+wdq0R0qamZr6mfHkjpE0fZcvmfB2XOn4cfvwRFi+GX34xZumC0UahVSsj1O7QAVxccr8WERERERERJ6PQNpsU2uauRYsW0alTJwB+/vlnQlu0gPr1jV6KvXrBjBmm1icicr0OHTrE5MmTmT59OmfOnMk4XrNmTR6qXp0H9u6lzpYtZDQECAyE1q0hNBTuuceY7Xq97QKSkmDXLti61Rjr1hkzWi/9T3hISOaQtly5q76s3W4nJiaG6OhooqKiiIuLw2azYbPZsNvt2O12PD098fX1xcfHB19fX4oUKYJHdkPoqCj47jv44gtjNm66smWNXsC9e0ORItn9KYiIiIiIiNzyFNpmk0Lb3PPff/9Rq1Ytzp49y6BBgxg1ahR89BEMGQKFC8OePVC0qNlliojckOTkZJYvX86sWbNYvHgxyekzSoEyQUHcHxTE3UeOcGdUFJmiUz8/qFULKlSAUqUgKAg8PY3ZuQ6HscBZdLTRP/bgQWMcOgQpKZcXUbEi3H238Y2FFi2M0BZjZnBUVBTHjh3j6NGjmbbp+ydOnCAmJuaG3nvhwoUpVaoUJUuWpHz58lSuXJnKlStTpUoVQkJCcMlqFu2+fTB9Ovzvf0Y/czDed9euRi/gGjVuqBYREREREZFbiULbbFJomztsNhutWrVi1apV1K1blz///BP33buhYUPjq7IzZhgzbUVE8oFz586xYMECfvzxR1auXElCQkKm88H+/tR3daV6VBQ17HaqAmWAwkC259wWKgR16mCrXZszVapwLCSE/5KTOXbsGP/9919GIJs+4uPjs12/p6cnAQEB+Pn54erqitVqxWq1YrFYSExMJD4+nri4OOLj47Fd2if3El5eXtStW5cGDRrQsGFDGjRowO23347VajUuOH8e5s6FCRNgy5YLT2zXDl591QigtXCZiIiIiIjkUwpts0mhbe547bXX+Pjjj/H29mbz5s1UKV/eCGy3bzd6GS5apH+Ui0i+lJiYyOrVq/nll1/4/fff2bx58xWDTg8XF0p5elLYzQ0fqxUfFxe8PD2xu7qS6upKqocHyW5uRKemcjYujnPnzhEdHU12/9NdpEgRgoODKVOmDGXKlMm0X6pUKQoXLkxAQEC22x04HA7Onj3LiRMnOHHiBMePH2f//v3s2bOH3bt3s2/fPhITEy97XtGiRWnevDktWrSgRYsWVKtWDavFAuvXw9ixMH/+hVYPjRsb4W3Hjup7KyIiIiIi+Y5C22xSaJvz5s2bR5cuXQCYM2eOsf/aa/Dxx1CsmBHcBgWZXKWISN6Ij49nw4YN/P333+zcuZOdO3eyZ8+eTP1wr5fFYiEoKIgyZcpQunTpjG3p0qUJDg4mODiY0qVL4+XllYPv5NpsNhv79+9n48aNbNq0iU2bNrFlyxbOnz+f6bqiRYty77330rZtW9q0aUOJ2FgYM8bofZuUZFxUqRIMGgTduxttFERERERERPIBhbbZpNA2Z4WHh9OsWTMSEhIYPHgwH3/8sbGCeMeOxgULFhgrqouIFHCJiYlERETw33//ERUVRXx8PAkJCZw/fx6r1Yqbmxuurq64uroSEBBAoUKFKFy4cMbWzc3N7LeQLcnJyWzevJnVq1ezZs0a1q1bd1n7iHr16tG2bVvaNm5M4/XrcZ082VjEDIxf8r34Ijz/vBYtExERERGRW55C22xSaJtzDh06RJMmTYiIiCA0NJRly5bhevAgNGhgLKzz4oswfrzZZYqIiImSk5PZuHEjK1asYNmyZWzatCnT+UKFCnHfPffQ1sODNmvXUuL4ceOEl5cx6/all6BqVRMqFxERERERuXkKbbNJoW3OOHPmDM2aNWPPnj3UrFmTX3/9lUBXV2ja1GiH0KwZrFoF7u5mlyoiIk4kMjIyI8BdsWIF586dy3S+brlytE1MpG1kJHcArgBt2sDLL8N996k/uoiIiIiI3FIU2maTQtubFxUVRatWrdi4cSPBwcGsX7+e0sWLGy0Rli2DEiVg82YoVcrsUkVExImlpqayYcMGli1bxrJly9i8eXOm84FubtyXkkIboA1Qqnp1ePZZePJJKFzYlJpFRERERESuh0LbbFJoe3MuDmyLFCnC2rVrqV6tGjz9NMycaXyddfVqYzVwERGR6xAZGcnKlSszZuGePXs20/naQCuguasrzR54gMA+feCee8BqNaVeERERERGRa1Fom00KbW/cqVOnuP/++9m0aRNFihQhLCyM2rVqwZAh8PHHxj+aFy2C9u3NLlVERG5xNpuNjRs3ZszC3bRpExf/XxgLUBO429eXu+6+m0ZPPUW5Tp2wuLiYVrOIiIiIiMilFNpmk0LbG7Nv3z7atm3LgQMHKFq0KGFhYdSqWRNeeQU++cS4aOpUeOYZcwsVEZF86dSpU6xcuZLVq1bx2y+/sPfIkcuuKWSxULdUKeo2aECddu2oUrculSpVIiAgwISKRUREREREFNpmm0Lb67du3To6duzImTNnKF++PEuXLqVKpUrQvz989plx0WefwQsvmFuoiIgUGBEREfy+ahW/ffstv//xB9vPniXlCtcW8/enUqVKhFSuTIkSJShZsiQlS5akRIkSBAQE4OfnlzG8vb2xWq1YLlnwzG63k5SURGJiYsZISkri/PnzxMfHk5CQkOXIdC42loSoKBJiYoz9+HjjfGIiCUlJJCQnk5CaigVwtVpxSxuuVivuLi74eXgQ4O1tjIAAAgoVokhQECXKlaNkxYqULF8+4735+Pjk+p+BiIiIiIhcm0LbbFJom30Oh4Nx48bx6quvkpqaSoMGDViyZAlBPj7wxBOweLGxivfUqdC7t9nliohIAZYcE8POGTPYungxW7Zs4e/oaPYBETfxmlarFWtav9zU1NQcqTOvFPH05LbixbmtXDluq16d2+rW5baKFalQoQLBwcEZ70tERERERHKXQttsUmibPWfPnqV3794sWLAAgEceeYSZM2fic+oUdO4M4eHg4QFffglduphbrIiIyKUOH4awMGJ+/ZX969ezb98+jjocRAAn0kYkEAPEpg17Nl/aCngCHoB3NobPxY8tFrx9fPD288Pb3x/vwEC8CxXCp3BhvAsVwsvTE6xWUhwOUh0OUux2UhMTSYqPJzY2luj0ERVFdEwMp2NjOZGQwAm7PeN9JVyjfh83N6oEB1OtWjWqNm5MtZo1qVq1Krfddhuurq7Z/QmLiIiIiEg2KLTNJoW21zZ//nz69OlDZGQkbm5ufPLJJ/Tp0wfL998bPWujo6F4cWPRsTvuMLtcERGRazt/HnbsgH37YO9eY3voEJw8CZGROGJjOY8ReDowAtyLtx5cCGpdAYufHwQEGCMwEAoXNkaRIhf2sxp+fsbCnTnJ4YDYWDhyBA4dImb3bg7t2MG/e/fy7+HD/BsZyb82G/8C/8IV20i4u7hwe6lSVKtenWoNG1KtZk2qVatGpUqVcHd3z9maRUREREQKCIW22aTQ9soOHjzI4MGD+eGHHwCoWrUqX331FQ3Kl4dBg+CLL4wL77gD5syBcuXMK1ZERCQnnT8PMTGQmHhh2Gzg5mYMV1dj6+9vDBcXsyvOPpvNmHn8zz+k7NjBgQ0b+GfHDv45fJhdSUn8A/wDnL/C012tViqVKkW1atWMMLdGDapVq8btt9+Op6dnHr4REREREZFbj0LbbFJoe7lz584xcuRIxo0bR3JyMi4uLgwZMoRhb7yBx3ffwSuvwOnTRv/aoUPh7beNf7iKiIjIrcvhgP/+g507sW/fzpENG9j199/8c/Agu5KT2QXsxGgdkRWrxUKFEiWMMLd+/Yw2C+XLl6dQoUKXLeZmmvPn4dw5Y0RFXdi/+Fh0NCQkXAjsz5+/sJ+SYvx/oEuHiwt4exvDx+fC1sfnwqzrIkWgaNEL26JFQUG3iIiISIGi0DabFNpeEBERwSeffMLkyZOJjTX+SRYaGsqY0aOpdewYvPEGbNtmXFyjBkyZAs2amVixiIiI5DqHA44ehR07cOzYwX8bN7Jr2zZ2HTrErpQUdgG7gHNXeQl/d3fKFy1KSIkSlA8Opnz58oTcfjulKlWiRLlyFC9bFncPj+zVkpwM8fEQF3dhGxMDZ88a48yZC/sXjzNnjFA2KSmHfjA5pHBhKFXKGKVLZ96m7wcF3VqzuUVERETkihTaZlNBD20dDge//fYb06ZN47vvviMp7R8yNWvWZOR779E2NhbL+PGwcaPxBH9/eP11GDhQs2tFREQKMrvdaLOwcyeOHTuI3Lz5sjB3DxCRzZcrAgRZrZRwdaWo1UqAxUIgEJA2Ah0OApKT8bLbM/UUvqy/cHaGxWL0Hk4blkKFMu/7+xszZb28sHh6GrNhPT2xeHkZrTEAHA4saVscDuPe588bQXJCgrFND5XPnTO+pXTmjDHS91NTs/fDcXGBEiUuhLhXGn5+2fxpi4iIiIhZFNpmU0EMbR0OB3///TcLFizg22+/Ze/evRnnmjRpwuuPP067Y8ewfPUVnDhhnPD0hP794dVXja/0iYiIiGTF4YBTp4yF0I4e5fyBAxzatYuDBw5w6ORJDp47x8HYWA4nJhJhtxMBZDO6dHoeHh7XHF5eXvj6+hrDzQ0fux3f1FR8k5PxPX8en/h4fGNi8I2KwufsWXxPn8bX4cAH8MYIqK/YaMLPL/Ns3fRZuhcvfpe+OF6hQhcC6NzicBgzm9MD7ItH+kzpi8dFbSjs58+TFB9PUkICyQkJJJ0/nzHsKSkZYblxG8eFxw6Hsbifmxtu7u64eXjgnjbcPDxw9/TE3ccHN39/rP7+xs/M19fYXrrv728sLujnp5nOIiIikmNu6dB20qRJjBo1ioiICGrXrs2ECRNo1KjRFa//7rvvGDZsGIcOHaJSpUp89NFH3H///dm6V0EKbU+dOsXIkSNZsGABBw8ezDju4+ND1xYt6F28OI3++gvLrl0XnlSyJPTpA889B8WKmVC1iIiI5FspKdgTEjgXEUHE0aNE/PcfEcePczY6mqi4OKLj4i5sY2OJjo8nMSWFxORkkpKTSUpKIikpicTERJKSknDC/1ub46wWC95ubvhYrfhYLPjY7fikpBhbjGDX55LhBbhdNFzT9z08jGDT0xM3T0/w8MDh4YHD3R271YrDYskYdsAB2C0WklJSSE5JISk52dimpJCcmpp5m5xMUmoqSQ4HSZBpJF/yOKuRF0G+C8YMbe+Lfm5X2vq4uuLt6YmPlxfeXl74+Pjg7euLt58fPgEBeAcG4h0YiE/hwngXLox3sWJ4FyuGe5EizhP+2u1GiH7+/IWR3rP5So+vdk1iojFb3OEwXvvi7cX7aSE6bm7g7n5h/+Lh6XmhF/SlfaGvti3IYbrDYfTYTkw0/lyTkzP/8iKrAcbPLKs/Azc3489KRERy3S0b2s6dO5fu3bszZcoUGjduzLhx4/juu+/Ys2cPxYsXv+z6P/74g7vvvpsRI0bQvn17Zs+ezUcffcSWLVuoUaPGNe9XkELb2NhYihUrRlJSEp7u7rQuX57O7u48eOAAfgkJFy50d4f774fHH4eOHY3HIiIiIk7M4XBkGna7/bJj6SOr597MY7vdTkpKSkaIfLWRkJBAfHw8cXFxxMXFZdq/0uPY2FiSk5Nz6Cd1a3JzccHDzQ0PNzdcsgjqLl3ozuFwkGqzkZySQorNRnJqqimhviuXhMIWC96urvi4ueHt7o6nuztuLi64ubjgmr51dTWOubpeOAZYHQ4caUGoI+1/39jtxn5qKqSmXtimpGBPTcWWmoo9JQW7zWYMyDRslzzOyfNXO2fB+MWBe9pwu2R7tf304QG4u7pmzKR29/TEw8vLmE3t7Y27lxfuPj54+Pjg7uODu68v7n5+xvD3x8PfH/eAANz9/HDx8DBmnl86XFwubNOD6KyGzWZsLw5R07dX2HecP489MRHb+fOkpm1tiYnGSErClphonE9KwpaUhD1ta0tKwp6cjC05OeNnbLvo52275GdvAawXba+6b7FgdXXF6uaGi5cXLp6euHh7G/ve3heGj48xvL1x8fU19n19cfHzw8XfH4uv74WFGC8d7u7G4o23qPT/vthsNlJTUzNtr7TvcDiwWCwZw2q1Znqc1TEXFxfc3Nxwc3PD3d0dtyv83Scit6ZbNrRt3LgxDRs2ZOLEiYDxf4KDg4N58cUXGTJkyGXXd+nShfj4eJYsWZJx7I477qBOnTpMmTLlmvcrSKEtERGMrVyZkJgYWmP8H8cMxYpBaCi0bm0EtYGB5tQoIiIiIpdJTU3NCHyvdyQmJpKSkkJqaiopKSmkJCeTcv48KYmJpCYnG4/TZulZHA6saf1604fVYsnoBWy1WIzw1N0dd3f3C1tPzwtbb28jKPP2xsPPzwjOvL2v2DLC3d39qi0l3N3dLwtlr5fD4cBms5GSNgs4fXtxkJ7lNjqahHPniI+KIiE6mviYGOJjY0lIO59w/jzxiYkkJCWRkJxMfGoq8amp2HPgz1zyjpWLguC0kd4jGy58FrjGNj00TeVCeHqlfVvuvBWnYMGYyX7FYbEYw2q9MFxcjK2rq7Hv4mLsu7ri6uZm7KdvLzmfPiwuLtgcDlLtdmPYbNjStqmpqRlbm92e9eO0YzabLWNru+ia9Mem/VwtlowA99JAN6v99MfZ3b/Z57m4uGQZQF/8+Grn0kf6e734fV/p2LXO3+xz5Ppd/Ivzi3+BfumxK50LDAzEIzuL097isptF5nIjq+uTnJzM5s2bGTp0aMYxq9VKaGgo69evz/I569evZ+DAgZmOtW7dmoULF+ZmqbemoCAGWizG116qVYMGDYzRtCnUrq2vw4iIiIg4KVdXV/z9/fP/JINcYrFYcHV1xdXVFS8vr1y9l8PhICUlJSP4TUhIIP7cORJOnybhzBkSzpwh/uxZEs6d43xMDKkpKUaonhYmp6SFRxn7NhspDgcO441gSQs5MvatVixps0Etrq5Y3NzAxQUXd3djxqSHB1Y3N6zu7heGqytWqxVrWliWvp/VuNr5G31u+uz09PD84iD9avvJyckkJyWRfP48yQkJxjat13FyUtKFkdZCJTmtZUfGsNlISvt5XswOJKYNZ2FJCzWtF4eaaT/PjP2Lw8tLzqUHaGBMhEof6cFIxmO73ZiFnX7uorAy07DbM8a15n05MALqK7Y5ubiFRj7jihFMp29dMEJsx0XDfoX9ix9nFQ07HI6Mb21I3rv0FzVZHkv7JWf6sYt/8ZmtrcVyYdb7Jb8wzXTNxdtLjmcEoWnDARf2L96mHc+4Fi7fT78mG9v0cbOWjRxJm9dey4FXyh+cKrQ9ffo0NpuNoKCgTMeDgoLYvXt3ls+JiIjI8vqIiKzXKr70L7mYmJibrPoWYrHA779D+fLGV1NERERERCRHpc+Gc3d3p1ChQmaXI1lID9bTg+CktKD34pGSkpJxbXpIebWtw+HICE1dL5oNevH+tc5lFbg6o/SZ69c1EhOxxcUZIz7+wjZ9JCRcGOfPGyN9PzGR1PPnjfYQF7UfyNhPb0Ngs+FqtxsjfZ8LIaqrw2FsszqWtnUhc+iaccxiyXzeYrnsvPXSP7ObeOxwOLDZ7aTYbKTY7SQDKReNSx9ffCz5kmOXHr/02PXuX+m8jWuH0U71Ne/r5Lhkm/VFWZx1ri+3Oz1HAW8HdSmnCm3zwogRI3jnnXfMLsM82ejzKyIiIiIikl9dHKzL9bt45rrkDgtkBMxeYMxKTk01+ienby/ev9qx7F5/cd/mrBYYzM7WbjfCZ6vVGOn7Fx1zQOaFLi2WjGOkLYJJ2nCkPTfTsfQtXP1c+nPT9tOvv+J1aTPAHRe9F0faz8WR3rc6vbf4RecyXXdRr2u7zWb0HL9o3552rT2t17EjfZb7pdekP057zUuPZbz2Rft2u93oY53+rYaL2lVY076VkXEsbab+VfetVqyurhnHLZdcl/H44te+6Fj644z99NdL+1aA5dLXSHtMSEgef9qcm1P9LVu0aFFcXFyIjIzMdDwyMpISJUpk+ZwSJUpc1/VDhw7N1E4hJiaG4ODgm6xcRERERERERCQXWK35ZoHwi3tEi8jVOVUTU3d3d+rXr09YWFjGMbvdTlhYGE2aNMnyOU2aNMl0PcDPP/98xes9PDwy+oGpL5iIiIiIiIiIiIg4G6eaaQswcOBAevToQYMGDWjUqBHjxo0jPj6eXr16AdC9e3dKly7NiBEjAHjppZdo3rw5Y8aMoV27dsyZM4dNmzYxdepUM9+GiIiIiIiIiIiIyA1xutC2S5cunDp1irfeeouIiAjq1KnD8uXLMxYbO3LkCFbrhQnCTZs2Zfbs2bz55pu8/vrrVKpUiYULF1JDvVtFRERERERERETkFmRxOAr2UnYxMTEEBAQQHR2tVgkiIiIiIiIiIiKSa7KbRTpVT1sRERERERERERGRgk6hrYiIiIiIiIiIiIgTUWgrIiIiIiIiIiIi4kScbiGyvJbe0jcmJsbkSkRERERERERERCQ/S88gr7XMWIEPbWNjYwEIDg42uRIREREREREREREpCGJjYwkICLjieYvjWrFuPme32zl+/Dh+fn5YLBazy8l1MTExBAcHc/To0auuUCdS0OizIZI1fTZErkyfD5Gs6bMhkjV9NkSyVtA+Gw6Hg9jYWEqVKoXVeuXOtQV+pq3VaqVMmTJml5Hn/P39C8QHQeR66bMhkjV9NkSuTJ8PkazpsyGSNX02RLJWkD4bV5thm04LkYmIiIiIiIiIiIg4EYW2IiIiIiIiIiIiIk5EoW0B4+HhwfDhw/Hw8DC7FBGnos+GSNb02RC5Mn0+RLKmz4ZI1vTZEMmaPhtZK/ALkYmIiIiIiIiIiIg4E820FREREREREREREXEiCm1FREREREREREREnIhCWxEREREREREREREnotC2gJk0aRIhISF4enrSuHFjNmzYYHZJIqYaMWIEDRs2xM/Pj+LFi9OpUyf27NljdlkiTmfkyJFYLBYGDBhgdikipvvvv/948sknKVKkCF5eXtSsWZNNmzaZXZaIqWw2G8OGDaN8+fJ4eXlRoUIF3nvvPbSEihREv/76Kx06dKBUqVJYLBYWLlyY6bzD4eCtt96iZMmSeHl5ERoayr59+8wpViQPXe2zkZKSwmuvvUbNmjXx8fGhVKlSdO/enePHj5tXsMkU2hYgc+fOZeDAgQwfPpwtW7ZQu3ZtWrduzcmTJ80uTcQ0a9eupW/fvvz555/8/PPPpKSk0KpVK+Lj480uTcRpbNy4kc8//5xatWqZXYqI6c6dO0ezZs1wc3Nj2bJl7Nq1izFjxlCoUCGzSxMx1UcffcTkyZOZOHEi//zzDx999BEff/wxEyZMMLs0kTwXHx9P7dq1mTRpUpbnP/74Y8aPH8+UKVP466+/8PHxoXXr1iQmJuZxpSJ562qfjYSEBLZs2cKwYcPYsmUL8+fPZ8+ePTzwwAMmVOocLA796rPAaNy4MQ0bNmTixIkA2O12goODefHFFxkyZIjJ1Yk4h1OnTlG8eHHWrl3L3XffbXY5IqaLi4ujXr16fPbZZ7z//vvUqVOHcePGmV2WiGmGDBnCunXr+O2338wuRcSptG/fnqCgIKZPn55x7KGHHsLLy4uvv/7axMpEzGWxWFiwYAGdOnUCjFm2pUqV4pVXXmHQoEEAREdHExQUxBdffMFjjz1mYrUieefSz0ZWNm7cSKNGjTh8+DBly5bNu+KchGbaFhDJycls3ryZ0NDQjGNWq5XQ0FDWr19vYmUiziU6OhqAwoULm1yJiHPo27cv7dq1y/TfD5GCbPHixTRo0IBHHnmE4sWLU7duXaZNm2Z2WSKma9q0KWFhYezduxeAbdu28fvvv9O2bVuTKxNxLgcPHiQiIiLT/7cKCAigcePG+re5yCWio6OxWCwEBgaaXYopXM0uQPLG6dOnsdlsBAUFZToeFBTE7t27TapKxLnY7XYGDBhAs2bNqFGjhtnliJhuzpw5bNmyhY0bN5pdiojT+Pfff5k8eTIDBw7k9ddfZ+PGjfTv3x93d3d69OhhdnkiphkyZAgxMTFUqVIFFxcXbDYbH3zwAU888YTZpYk4lYiICIAs/22efk5EIDExkddee42uXbvi7+9vdjmmUGgrIpKmb9++7Nixg99//93sUkRMd/ToUV566SV+/vlnPD09zS5HxGnY7XYaNGjAhx9+CEDdunXZsWMHU6ZMUWgrBdq8efP45ptvmD17NtWrVyc8PJwBAwZQqlQpfTZEROS6pKSk8Oijj+JwOJg8ebLZ5ZhG7REKiKJFi+Li4kJkZGSm45GRkZQoUcKkqkScR79+/ViyZAmrV6+mTJkyZpcjYrrNmzdz8uRJ6tWrh6urK66urqxdu5bx48fj6uqKzWYzu0QRU5QsWZJq1aplOla1alWOHDliUkUizmHw4MEMGTKExx57jJo1a9KtWzdefvllRowYYXZpIk4l/d/f+re5SNbSA9vDhw/z888/F9hZtqDQtsBwd3enfv36hIWFZRyz2+2EhYXRpEkTEysTMZfD4aBfv34sWLCAVatWUb58ebNLEnEKLVu2ZPv27YSHh2eMBg0a8MQTTxAeHo6Li4vZJYqYolmzZuzZsyfTsb1791KuXDmTKhJxDgkJCVitmf956eLigt1uN6kiEedUvnx5SpQokenf5jExMfz111/6t7kUeOmB7b59+/jll18oUqSI2SWZSu0RCpCBAwfSo0cPGjRoQKNGjRg3bhzx8fH06tXL7NJETNO3b19mz57NokWL8PPzy+gjFRAQgJeXl8nViZjHz8/vst7OPj4+FClSRD2fpUB7+eWXadq0KR9++CGPPvooGzZsYOrUqUydOtXs0kRM1aFDBz744APKli1L9erV2bp1K2PHjuWpp54yuzSRPBcXF8f+/fszHh88eJDw8HAKFy5M2bJlGTBgAO+//z6VKlWifPnyDBs2jFKlStGpUyfzihbJA1f7bJQsWZKHH36YLVu2sGTJEmw2W8a/zwsXLoy7u7tZZZvG4nA4HGYXIXln4sSJjBo1ioiICOrUqcP48eNp3Lix2WWJmMZisWR5fObMmfTs2TNvixFxci1atKBOnTqMGzfO7FJETLVkyRKGDh3Kvn37KF++PAMHDuSZZ54xuywRU8XGxjJs2DAWLFjAyZMnKVWqFF27duWtt94qkP/QloJtzZo13HPPPZcd79GjB1988QUOh4Phw4czdepUoqKiuPPOO/nss8+4/fbbTahWJO9c7bPx9ttvX/Gbr6tXr6ZFixa5XJ3zUWgrIiIiIiIiIiIi4kTU01ZERERERERERETEiSi0FREREREREREREXEiCm1FREREREREREREnIhCWxEREREREREREREnotBWRERERERERERExIkotBURERERERERERFxIgptRURERERERERERJyIQlsRERERERERERERJ6LQVkRERERERERERMSJKLQVEREREbkOgwYNolOnTmaXISIiIiL5mEJbEREREZHrEB4eTp06dcwuQ0RERETyMYW2IiIiIiLXYdu2bQptRURERCRXKbQVEREREcmmY8eOcfr06YzQNioqig4dOnDnnXcSERFhbnEiIiIikm8otBURERERyabw8HACAwMJCQlh+/btNGzYkNKlS7N69WpKlChhdnkiIiIikk8otBURERERyabw8HBq167N7Nmzad68Oa+++ipTpkzBzc3N7NJEREREJB+xOBwOh9lFiIiIiIjcCh5++GFWrVoFwE8//USTJk1MrkhERERE8iPNtBURERERyabw8HAefPBBEhMTiYqKMrscEREREcmnNNNWRERERCQbYmNjCQgIYPPmzWzdupWXX36ZP/74g+rVq5tdmoiIiIjkM65mFyAiIiIicivYtm0bLi4uVKtWjbp167Jjxw46dOjAhg0bKFq0qNnliYiIiEg+ovYIIiIiIiLZEB4eTpUqVfDw8ABg1KhRVK5cmQcffJDk5GSTqxMRERGR/ETtEURERERERERERESciGbaioiIiIiIiIiIiDgRhbYiIiIiIiIiIiIiTkShrYiIiIiIiIiIiIgTUWgrIiIiIiIiIiIi4kQU2oqIiIiIiIiIiIg4EYW2IiIiIiIiIiIiIk5Eoa2IiIiIiIiIiIiIE1FoKyIiIiIiIiIiIuJEFNqKiIiIiIiIiIiIOBGFtiIiIiIiIiIiIiJORKGtiIiIiIiIiIiIiBNRaCsiIiIiIiIiIiLiRP4PfWAwlhB1GLoAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "VG2 = VisibilityGraph(time_series)\n", + "k_r2 = VG2.retarded_degree()\n", + "k_a2 = VG2.advanced_degree()\n", + "gkde_r2 = gaussian_kde(k_r2)\n", + "gkde_a2 = gaussian_kde(k_a2)\n", + "\n", + "fig = plt.figure(figsize=(14, 3))\n", + "x = np.linspace(0, 12, 5000)\n", + "ax = plt.plot(x, gkde_r2.evaluate(x), color=\"red\", label=\"retarded\")\n", + "ax = plt.plot(x, gkde_a2.evaluate(x), color=\"black\", label=\"advanced\")\n", + "ax = plt.xlabel(\"$k$\")\n", + "ax = plt.ylabel(\"$p(k)$\")\n", + "ax = plt.legend()\n", + "fig.tight_layout()\n", + "\n", + "fig = plt.figure(figsize=(14, 3))\n", + "x = np.linspace(0, 12, 5000)\n", + "ax = plt.plot(x, gkde_r2.evaluate(x), color=\"red\", label=\"retarded\")\n", + "ax = plt.plot(x, gkde_a2.evaluate(x), color=\"black\", label=\"advanced\")\n", + "ax = plt.xlabel(\"$k$\")\n", + "ax = plt.ylabel(\"$p(k)$\")\n", + "ax = plt.legend()\n", + "ax = plt.yscale(\"log\")\n", + "fig.tight_layout()" + ] + }, + { + "cell_type": "markdown", + "id": "6f4688a4", + "metadata": {}, + "source": [ + "Here we already visually find a stronger divergence between retarded and advanced degree distribution, suggesting non-linearity of the underlying time series." + ] + }, + { + "cell_type": "markdown", + "id": "de88641b", + "metadata": {}, + "source": [ + "We appply the KS test again." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "12f6159a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "KstestResult(statistic=0.032, pvalue=0.011947718089521279, statistic_location=2.0, statistic_sign=-1)" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ks_2samp(k_r2, k_a2)" + ] + }, + { + "cell_type": "markdown", + "id": "6a1d0870", + "metadata": {}, + "source": [ + "The result `pvalue < 0.050` suggests that the TS is time-irreversible." + ] + } + ], + "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": "3.10.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/tutorials/climate_network.ipynb b/examples/tutorials/climate_network.ipynb deleted file mode 100644 index 2c2e7de8..00000000 --- a/examples/tutorials/climate_network.ipynb +++ /dev/null @@ -1,241 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Climate Network Tutorial\n", - "\n", - "Tutorial on analyzing climate networks using Python.\n", - "\n", - "Uses the Python packages ``core`` and ``climate`` providing all kinds of tools\n", - "related to climate networks. Written as part of a diploma / phd thesis in\n", - "Physics by Jonathan F. Donges (donges@pik-potsdam.de) at University of Potsdam\n", - "/ Humboldt University Berlin and Potsdam Institute of Climate Impact Research\n", - "(PIK),\n", - "\n", - "Copyright 2008-2023." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Download the data set from the link below and copy it to the directory of this script or change the path to the location of the data set\n", - "\n", - "https://www.esrl.noaa.gov/psd/repository/entry/show?entryid=0def76a0-9b32-47a4-8bc3-c4977c67ed95" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "DATA_FILENAME = \"air.mon.mean.nc\"" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Create ClimateData object containing the data and print information" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from pyunicorn import climate\n", - "\n", - "# Settings\n", - "\n", - "# Type of data file (\"NetCDF\" indicates a NetCDF file with data on a regular\n", - "# lat-lon grid, \"iNetCDF\" allows for arbitrary grids - > see documentation).\n", - "# For example, the \"NetCDF\" FILE_TYPE is compatible with data from the IPCC\n", - "# AR4 model ensemble or the reanalysis data provided by NCEP/NCAR.\n", - "FILE_TYPE = \"NetCDF\"\n", - "\n", - "# Indicate data source (optional)\n", - "DATA_SOURCE = \"ncep_ncar_reanalysis\"\n", - "\n", - "# Name of observable in NetCDF file (\"air\" indicates surface air temperature\n", - "# in NCEP/NCAR reanalysis data)\n", - "OBSERVABLE_NAME = \"air\"\n", - "\n", - "# Select a subset in time and space from the data (e.g., a particular region\n", - "# or a particular time window, or both)\n", - "WINDOW = {\"time_min\": 0., \"time_max\": 0., \"lat_min\": 0, \"lon_min\": 0,\n", - " \"lat_max\": 30, \"lon_max\": 0} # selects the whole data set\n", - "\n", - "# Indicate the length of the annual cycle in the data (e.g., 12 for monthly\n", - "# data). This is used for calculating climatological anomaly values\n", - "# correctly.\n", - "TIME_CYCLE = 12\n", - "\n", - "data = climate.ClimateData.Load(file_name=DATA_FILENAME,\n", - " observable_name=OBSERVABLE_NAME,\n", - " data_source=DATA_SOURCE,\n", - " file_type=FILE_TYPE,\n", - " window=WINDOW,\n", - " time_cycle=TIME_CYCLE)\n", - "\n", - "print(data)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Generate climate network using various procedures" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "# Indicates whether to use only data from winter months (DJF) for calculating\n", - "# correlations\n", - "WINTER_ONLY = False\n", - "\n", - "# fixed threshold\n", - "THRESHOLD = 0.5\n", - "\n", - "# fixed link density\n", - "LINK_DENSITY = 0.005\n", - "\n", - "# Create a climate network based on Pearson correlation without lag and with\n", - "# fixed threshold\n", - "net = climate.TsonisClimateNetwork(data, threshold=THRESHOLD, winter_only=WINTER_ONLY)\n", - "\n", - "# Create a climate network based on Pearson correlation without lag and with\n", - "# fixed link density\n", - "# net = climate.TsonisClimateNetwork(data, link_density=LINK_DENSITY, winter_only=WINTER_ONLY)\n", - "\n", - "# Create a climate network based on Spearman's rank order correlation without\n", - "# lag and with fixed threshold\n", - "# net = climate.SpearmanClimateNetwork(data, threshold=THRESHOLD, winter_only=WINTER_ONLY)\n", - "\n", - "# Create a climate network based on mutual information without lag and with\n", - "# fixed threshold\n", - "# net = climate.MutualInfoClimateNetwork(data, threshold=THRESHOLD, winter_only=WINTER_ONLY)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Calculate some measures" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "print(\"Link density:\", net.link_density)\n", - "\n", - "# Get degree\n", - "degree = net.degree()\n", - "# Get closeness\n", - "closeness = net.closeness()\n", - "# Get betweenness\n", - "betweenness = net.betweenness()\n", - "# Get local clustering coefficient\n", - "clustering = net.local_clustering()\n", - "# Get average link distance\n", - "ald = net.average_link_distance()\n", - "# Get maximum link distance\n", - "mld = net.max_link_distance()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Save results to text files" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "\n", - "# Save the grid (mainly vertex coordinates) to text files\n", - "data.grid.save_txt(filename=\"grid.txt\")\n", - "\n", - "# Save the degree sequence. Other measures may be saved similarly.\n", - "np.savetxt(\"degree.txt\", degree)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Plot the results into the file \"climate_network_measures\". This only works if you have the pyngl package installed!" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "map_plots = climate.MapPlots(data.grid, DATA_SOURCE)\n", - "\n", - "# Add network measures to the plotting queue\n", - "map_plots.add_dataset(\"Degree\", degree)\n", - "map_plots.add_dataset(\"Closeness\", closeness)\n", - "map_plots.add_dataset(\"Betweenness (log10)\", np.log10(betweenness + 1))\n", - "map_plots.add_dataset(\"Clustering\", clustering)\n", - "map_plots.add_dataset(\"Average link distance\", ald)\n", - "map_plots.add_dataset(\"Maximum link distance\", mld)\n", - "\n", - "# Change the map projection\n", - "map_plots.resources.mpProjection = \"Robinson\"\n", - "map_plots.resources.mpCenterLonF = 0\n", - "\n", - "# Change the levels of contouring\n", - "map_plots.resources.cnLevelSelectionMode = \"EqualSpacedLevels\"\n", - "map_plots.resources.cnMaxLevelCount = 20\n", - "\n", - "# map_plots.resources.cnRasterSmoothingOn = True\n", - "# map_plots.resources.cnFillMode = \"AreaFill\"\n", - "\n", - "map_plots.generate_map_plots(file_name=\"climate_network_measures\",\n", - " title_on=False, labels_on=True)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "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": "3.7.3" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/tutorials/climate_network.py b/examples/tutorials/climate_network.py deleted file mode 100644 index 141bb5c9..00000000 --- a/examples/tutorials/climate_network.py +++ /dev/null @@ -1,183 +0,0 @@ -#!/usr/bin/python - -""" -Tutorial on analyzing climate networks using Python. - -Uses the Python packages ``core`` and ``climate`` providing all kinds of tools -related to climate networks. Written as part of a diploma / phd thesis in -Physics by Jonathan F. Donges (donges@pik-potsdam.de) at University of Potsdam -/ Humboldt University Berlin and Potsdam Institute of Climate Impact Research -(PIK), - -Copyright 2008-2023. -""" - -import numpy as np - -from pyunicorn import climate - -# Test if Ngl package is installed -try: - import Ngl - ngl_flag = True -except ImportError: - ngl_flag = False -# -# Settings -# - -# Related to data - -# Download the data set from the link that is printed below and copy it to the -# directory of this script or change the path to the location of the data set -LINK = "\nData available at: https://www.esrl.noaa.gov/psd/repository/" + \ - "entry/show?entryid=0def76a0-9b32-47a4-8bc3-c4977c67ed95" -print(LINK) - -DATA_FILENAME = "./air.mon.mean.nc" - -# Type of data file ("NetCDF" indicates a NetCDF file with data on a regular -# lat-lon grid, "iNetCDF" allows for arbitrary grids - > see documentation). -# For example, the "NetCDF" FILE_TYPE is compatible with data from the IPCC -# AR4 model ensemble or the reanalysis data provided by NCEP/NCAR. -FILE_TYPE = "NetCDF" - -# Indicate data source (optional) -DATA_SOURCE = "ncep_ncar_reanalysis" - -# Name of observable in NetCDF file ("air" indicates surface air temperature -# in NCEP/NCAR reanalysis data) -OBSERVABLE_NAME = "air" - -# Select a subset in time and space from the data (e.g., a particular region -# or a particular time window, or both) -WINDOW = {"time_min": 0., "time_max": 0., "lat_min": 0, "lon_min": 0, - "lat_max": 30, "lon_max": 0} # selects the whole data set - -# Indicate the length of the annual cycle in the data (e.g., 12 for monthly -# data). This is used for calculating climatological anomaly values -# correctly. -TIME_CYCLE = 12 - -# Related to climate network construction - -# For setting fixed threshold -THRESHOLD = 0.5 - -# For setting fixed link density -LINK_DENSITY = 0.005 - -# Indicates whether to use only data from winter months (DJF) for calculating -# correlations -WINTER_ONLY = False - -# -# Print script title -# - -print("\n") -print("Tutorial on how to use climate") -print("-------------------------------") -print("\n") - -# -# Create a ClimateData object containing the data and print information -# - -data = climate.ClimateData.Load( - file_name=DATA_FILENAME, observable_name=OBSERVABLE_NAME, - data_source=DATA_SOURCE, file_type=FILE_TYPE, - window=WINDOW, time_cycle=TIME_CYCLE) - -# Print some information on the data set -print(data) - -# -# Create a MapPlots object to manage 2D-plotting on the sphere -# -if ngl_flag: - map_plots = climate.MapPlots(data.grid, DATA_SOURCE) -# -# Generate climate network using various procedures -# - -# One of several alternative similarity measures and construction mechanisms -# may be chosen here - -# Create a climate network based on Pearson correlation without lag and with -# fixed threshold -net = climate.TsonisClimateNetwork( - data, threshold=THRESHOLD, winter_only=WINTER_ONLY) - -# Create a climate network based on Pearson correlation without lag and with -# fixed link density -# net = climate.TsonisClimateNetwork( -# data, link_density=LINK_DENSITY, winter_only=WINTER_ONLY) - -# Create a climate network based on Spearman's rank order correlation without -# lag and with fixed threshold -# net = climate.SpearmanClimateNetwork( -# data, threshold=THRESHOLD, winter_only=WINTER_ONLY) - -# Create a climate network based on mutual information without lag and with -# fixed threshold -# net = climate.MutualInfoClimateNetwork( -# data, threshold=THRESHOLD, winter_only=WINTER_ONLY) - -# -# Some calculations -# - -print("Link density:", net.link_density) - -# Get degree -degree = net.degree() -# Get closeness -closeness = net.closeness() -# Get betweenness -betweenness = net.betweenness() -# Get local clustering coefficient -clustering = net.local_clustering() -# Get average link distance -ald = net.average_link_distance() -# Get maximum link distance -mld = net.max_link_distance() - -# -# Save results to text file -# - -# Save the grid (mainly vertex coordinates) to text files -data.grid.save_txt(filename="grid.txt") - -# Save the degree sequence. Other measures may be saved similarly. -np.savetxt("degree.txt", degree) - -# -# Plotting -# - -# Add network measures to the plotting queue -if ngl_flag: - map_plots.add_dataset("Degree", degree) - map_plots.add_dataset("Closeness", closeness) - map_plots.add_dataset("Betweenness (log10)", np.log10(betweenness + 1)) - map_plots.add_dataset("Clustering", clustering) - map_plots.add_dataset("Average link distance", ald) - map_plots.add_dataset("Maximum link distance", mld) - - # Change the map projection - map_plots.resources.mpProjection = "Robinson" - map_plots.resources.mpCenterLonF = 0 - - # Change the levels of contouring - map_plots.resources.cnLevelSelectionMode = "EqualSpacedLevels" - map_plots.resources.cnMaxLevelCount = 20 - - # map_plots.resources.cnRasterSmoothingOn = True - # map_plots.resources.cnFillMode = "AreaFill" - - map_plots.generate_map_plots(file_name="climate_network_measures", - title_on=False, labels_on=True) -else: - print("\nPlots can only be created when Ngl package is installed!") diff --git a/examples/tutorials/climate_network_cartopy_plotting.py b/examples/tutorials/climate_network_cartopy_plotting.py deleted file mode 100644 index b19a0219..00000000 --- a/examples/tutorials/climate_network_cartopy_plotting.py +++ /dev/null @@ -1,177 +0,0 @@ -#!/usr/bin/python - -""" -Tutorial on analyzing climate networks using Python. - -Uses the Python packages ``core`` and ``climate`` providing all kinds of tools -related to climate networks. Written as part of a diploma / phd thesis in -Physics by Jonathan F. Donges (donges@pik-potsdam.de) at University of Potsdam -/ Humboldt University Berlin and Potsdam Institute of Climate Impact Research -(PIK), - -Copyright 2008-2023. -""" - -import numpy as np -from matplotlib import pyplot as plt - -from pyunicorn import climate - -import cartopy.crs as ccrs -import cartopy.feature as cf - -# -# Settings -# - -# Related to data - -# Download the data set from the link that is printed below and copy it to the -# directory of this script or change the path to the location of the data set -LINK = "\nData available at: https://www.esrl.noaa.gov/psd/repository/" + \ - "entry/show?entryid=0def76a0-9b32-47a4-8bc3-c4977c67ed95" -print(LINK) - -DATA_FILENAME = "./air.mon.mean.nc" - -# Type of data file ("NetCDF" indicates a NetCDF file with data on a regular -# lat-lon grid, "iNetCDF" allows for arbitrary grids - > see documentation). -# For example, the "NetCDF" FILE_TYPE is compatible with data from the IPCC -# AR4 model ensemble or the reanalysis data provided by NCEP/NCAR. -FILE_TYPE = "NetCDF" - -# Indicate data source (optional) -DATA_SOURCE = "ncep_ncar_reanalysis" - -# Name of observable in NetCDF file ("air" indicates surface air temperature -# in NCEP/NCAR reanalysis data) -OBSERVABLE_NAME = "air" - -# Select a subset in time and space from the data (e.g., a particular region -# or a particular time window, or both) -# Plase note that "time_min" and "time_max" have to be in the time format of -# NetCDF files, e.g. 1918248. to 1921128. for the NetCDF file used here. -# In particular, they are not indices, e.g. "time_max"=10. will not work. -WINDOW = {"time_min": 0., "time_max": 0., "lat_min": 0, "lon_min": 0, - "lat_max": 30, "lon_max": 0} # selects the whole data set - -# Indicate the length of the annual cycle in the data (e.g., 12 for monthly -# data). This is used for calculating climatological anomaly values -# correctly. -TIME_CYCLE = 12 - -# Related to climate network construction - -# For setting fixed threshold -THRESHOLD = 0.5 - -# For setting fixed link density -LINK_DENSITY = 0.005 - -# Indicates whether to use only data from winter months (DJF) for calculating -# correlations -WINTER_ONLY = False - -# -# Print script title -# - -print("\n") -print("Tutorial on how to use climate") -print("-------------------------------") -print("\n") - -# -# Create a ClimateData object containing the data and print information -# - -data = climate.ClimateData.Load( - file_name=DATA_FILENAME, observable_name=OBSERVABLE_NAME, - data_source=DATA_SOURCE, file_type=FILE_TYPE, - window=WINDOW, time_cycle=TIME_CYCLE) - -# Print some information on the data set - -data.grid.print_grid_size() - - -# -# Generate climate network using various procedures -# - -# One of several alternative similarity measures and construction mechanisms -# may be chosen here - -# Create a climate network based on Pearson correlation without lag and with -# fixed threshold -net = climate.TsonisClimateNetwork( - data, threshold=THRESHOLD, winter_only=WINTER_ONLY) - -print("net created") - -# Create a climate network based on Pearson correlation without lag and with -# fixed link density -# net = climate.TsonisClimateNetwork( -# data, link_density=LINK_DENSITY, winter_only=WINTER_ONLY) - -# Create a climate network based on Spearman's rank order correlation without -# lag and with fixed threshold -# net = climate.SpearmanClimateNetwork( -# data, threshold=THRESHOLD, winter_only=WINTER_ONLY) - -# Create a climate network based on mutual information without lag and with -# fixed threshold -# net = climate.MutualInfoClimateNetwork( -# data, threshold=THRESHOLD, winter_only=WINTER_ONLY) - -# -# Some calculations -# - -print("Link density:", net.link_density) - -# Get degree -degree = net.degree() -# Get closeness -closeness = net.closeness() -# Get betweenness -betweenness = net.betweenness() -# Get local clustering coefficient -clustering = net.local_clustering() -# Get average link distance -ald = net.average_link_distance() -# Get maximum link distance -mld = net.max_link_distance() - -# -# Save results to text file -# - -# Save the grid (mainly vertex coordinates) to text files -data.grid.save_txt(filename="grid.txt") - -# Save the degree sequence. Other measures may be saved similarly. -np.savetxt("degree.txt", degree) - -# -# Plotting -# - -# create a Cartopy plot instance called cn_plot (cn for climate network) -# from the data with tite DATA_SOURCE -cn_plot = climate.CartopyPlots(data.grid, DATA_SOURCE) - -# Add network measures to the plotting queue -cn_plot.add_dataset("Degree", degree) -cn_plot.add_dataset("Closeness", closeness) -cn_plot.add_dataset("Betweenness (log10)", np.log10(betweenness + 1)) -cn_plot.add_dataset("Clustering", clustering) -cn_plot.add_dataset("Average link distance", ald) -cn_plot.add_dataset("Maximum link distance", mld) - -# before plotting, we can change some things, like cmap -ax = plt.set_cmap('plasma') - -# Plot with cartopy and matplotlib -cn_plot.generate_plots(file_name="climate_network_measures", - title_on=False, labels_on=True) diff --git a/notebooks/air.mon.mean.nc b/examples/tutorials/data/air.mon.mean.nc similarity index 100% rename from notebooks/air.mon.mean.nc rename to examples/tutorials/data/air.mon.mean.nc diff --git a/notebooks/img/Characteristics_rP.png b/examples/tutorials/images/Characteristics_rP.png similarity index 100% rename from notebooks/img/Characteristics_rP.png rename to examples/tutorials/images/Characteristics_rP.png diff --git a/notebooks/img/ECA.png b/examples/tutorials/images/ECA.png similarity index 100% rename from notebooks/img/ECA.png rename to examples/tutorials/images/ECA.png diff --git a/notebooks/img/EventSynchronisation.png b/examples/tutorials/images/EventSynchronisation.png similarity index 100% rename from notebooks/img/EventSynchronisation.png rename to examples/tutorials/images/EventSynchronisation.png diff --git a/notebooks/images/HVG.PNG b/examples/tutorials/images/HVG.PNG similarity index 100% rename from notebooks/images/HVG.PNG rename to examples/tutorials/images/HVG.PNG diff --git a/notebooks/img/REcurrencePlot_v2.png b/examples/tutorials/images/REcurrencePlot_v2.png similarity index 100% rename from notebooks/img/REcurrencePlot_v2.png rename to examples/tutorials/images/REcurrencePlot_v2.png diff --git a/notebooks/images/SimpleVG.PNG b/examples/tutorials/images/SimpleVG.PNG similarity index 100% rename from notebooks/images/SimpleVG.PNG rename to examples/tutorials/images/SimpleVG.PNG diff --git a/examples/tutorials/recurrence_network.ipynb b/examples/tutorials/recurrence_network.ipynb deleted file mode 100644 index 8c91f97f..00000000 --- a/examples/tutorials/recurrence_network.ipynb +++ /dev/null @@ -1,228 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Recurrence Network Tutorial\n", - "Tutorial on how to handle recurrence plots and recurrence networks using\n", - "Python, based on the timeseries package.\n", - "\n", - "Written as part of a PhD thesis in Physics by Jonathan F. Donges\n", - "(donges@pik-potsdam.de) at the Potsdam Institute of Climate Impact Research\n", - "(PIK) and Humboldt University Berlin,\n", - "\n", - "Copyright 2008-2023." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Create, print and plot a time series using the logistic map" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "import pylab\n", - "import numpy as np\n", - "\n", - "def logistic_map(x0, r, T):\n", - " \"\"\"\n", - " Returns a time series of length T using the logistic map\n", - " x_(n+1) = r*x_n(1-x_n) at parameter r and using the initial condition x0.\n", - "\n", - " INPUT: x0 - Initial condition, 0 <= x0 <= 1\n", - " r - Bifurcation parameter, 0 <= r <= 4\n", - " T - length of the desired time series\n", - " TODO: Cythonize\n", - " \"\"\"\n", - " # Initialize the time series array\n", - " timeSeries = np.empty(T)\n", - "\n", - " timeSeries[0] = x0\n", - " for i in range(1, len(timeSeries)):\n", - " xn = timeSeries[i-1]\n", - " timeSeries[i] = r * xn * (1 - xn)\n", - "\n", - " return timeSeries\n", - "\n", - "# Parameters of logistic map\n", - "r = 3.679 # Bifurcation parameter\n", - "x0 = 0.7 # Initial value\n", - "\n", - "# Length of the time series\n", - "T = 150\n", - "\n", - "time_series = logistic_map(x0, r, T)\n", - "# Print the time series\n", - "print(time_series)\n", - "# Plot the time series\n", - "pylab.plot(time_series, \"r\")\n", - "# You can include LaTex labels...\n", - "pylab.xlabel(\"$n$\")\n", - "pylab.ylabel(\"$x_n$\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Generate and plot a recurrence plot object with fixed recurrence threshold EPS" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from pyunicorn.timeseries import RecurrencePlot\n", - "\n", - "# Settings for the embedding\n", - "DIM = 1 # Embedding dimension\n", - "TAU = 0 # Embedding delay\n", - "\n", - "# Distance metric in phase space ->\n", - "# Possible choices (\"manhattan\",\"euclidean\",\"supremum\")\n", - "METRIC = \"supremum\"\n", - "\n", - "EPS = 0.05 # Fixed recurrence threshold\n", - "\n", - "rp = RecurrencePlot(time_series, dim=DIM, tau=TAU, metric=METRIC,\n", - " normalize=False, threshold=EPS)\n", - "\n", - "pylab.matshow(rp.recurrence_matrix())\n", - "pylab.xlabel(\"$n$\")\n", - "pylab.ylabel(\"$n$\")\n", - "pylab.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Calculate and print the recurrence rate and some standard RQA measures" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "RR = rp.recurrence_rate()\n", - "DET = rp.determinism(l_min=2)\n", - "LAM = rp.laminarity(v_min=2)\n", - "\n", - "print(\"Recurrence rate:\", RR)\n", - "print(\"Determinism:\", DET)\n", - "print(\"Laminarity:\", LAM)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Generate and plot another recurrence plot object with fixed recurrence rate RR" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "RR = 0.05 # Fixed recurrence rate\n", - "\n", - "rp = RecurrencePlot(time_series, dim=DIM, tau=TAU, metric=METRIC,\n", - " normalize=False, recurrence_rate=RR)\n", - "\n", - "pylab.matshow(rp.recurrence_matrix())\n", - "pylab.xlabel(\"$n$\")\n", - "pylab.ylabel(\"$n$\")\n", - "pylab.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Check the recurrence rate and calculate some standard RQA measures" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "RR = rp.recurrence_rate()\n", - "DET = rp.determinism(l_min=2)\n", - "LAM = rp.laminarity(v_min=2)\n", - "\n", - "print(\"Recurrence rate:\", RR)\n", - "print(\"Determinism:\", DET)\n", - "print(\"Laminarity:\", LAM)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Generate a recurrence network and calculate some measures of the network" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from pyunicorn.timeseries import RecurrenceNetwork\n", - "\n", - "rn = RecurrenceNetwork(time_series, dim=DIM, tau=TAU, metric=METRIC,\n", - " normalize=False, recurrence_rate=RR)\n", - "\n", - "L = rn.average_path_length()\n", - "T = rn.transitivity()\n", - "C = rn.global_clustering()\n", - "R = rn.assortativity()\n", - "\n", - "print(\"Average path length:\", L)\n", - "print(\"Transitivity:\", T)\n", - "print(\"Global clustering:\", C)\n", - "print(\"Assortativity:\", R)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "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": "3.6.6" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/tutorials/recurrence_network.py b/examples/tutorials/recurrence_network.py deleted file mode 100644 index 8f137a68..00000000 --- a/examples/tutorials/recurrence_network.py +++ /dev/null @@ -1,142 +0,0 @@ -#!/usr/bin/python - -""" -Tutorial on how to handle recurrence plots and recurrence networks using -Python, based on the timeseries package. - -Written as part of a PhD thesis in Physics by Jonathan F. Donges -(donges@pik-potsdam.de) at the Potsdam Institute of Climate Impact Research -(PIK) and Humboldt University Berlin, - -Copyright 2008-2023. -""" - -# array object and fast numerics -import numpy as np - -# plotting facilities -import pylab - -from pyunicorn.timeseries import RecurrencePlot, RecurrenceNetwork - - -# -# Functions -# -def logistic_map(x0, r, T): - """ - Returns a time series of length T using the logistic map - x_(n+1) = r*x_n(1-x_n) at parameter r and using the initial condition x0. - - INPUT: x0 - Initial condition, 0 <= x0 <= 1 - r - Bifurcation parameter, 0 <= r <= 4 - T - length of the desired time series - TODO: Cythonize - """ - # Initialize the time series array - timeSeries = np.empty(T) - - timeSeries[0] = x0 - for i in range(1, len(timeSeries)): - xn = timeSeries[i-1] - timeSeries[i] = r * xn * (1 - xn) - - return timeSeries - - -def logistic_map_lyapunov_exponent(timeSeries, r): - """ - Returns the Lyapunov exponent of the logistic map for different r. - - INPUT: timeSeries - The time series generated by a logistic map - r - the bifurcation parameter - """ - lyap = np.log(r) + (np.log(np.abs(1 - 2 * timeSeries))).mean() - - return lyap - -# -# Settings -# - -# Parameters of logistic map -r = 3.679 # Bifurcation parameter -x0 = 0.7 # Initial value - -# Length of the time series -T = 150 - -# Settings for the embedding -DIM = 1 # Embedding dimension -TAU = 0 # Embedding delay - -# Settings for the recurrence plot -EPS = 0.05 # Fixed threshold -RR = 0.05 # Fixed recurrence rate -# Distance metric in phase space -> -# Possible choices ("manhattan","euclidean","supremum") -METRIC = "supremum" - -# -# Main script -# -# Create a time series using the logistic map -time_series = logistic_map(x0, r, T) - -# Print the time series -print(time_series) -# Plot the time series -pylab.plot(time_series, "r") -# You can include LaTex labels... -pylab.xlabel("$n$") -pylab.ylabel("$x_n$") - -# Generate a recurrence plot object with fixed recurrence threshold EPS -rp = RecurrencePlot(time_series, dim=DIM, tau=TAU, metric=METRIC, - normalize=False, threshold=EPS) - -# Show the recurrence plot -pylab.matshow(rp.recurrence_matrix()) -pylab.xlabel("$n$") -pylab.ylabel("$n$") -pylab.show() - -# Calculate and print the recurrence rate -print("Recurrence rate:", rp.recurrence_rate()) - -# Calculate some standard RQA measures -DET = rp.determinism(l_min=2) -LAM = rp.laminarity(v_min=2) - -print("Determinism:", DET) -print("Laminarity:", LAM) - -# Generate a recurrence plot object with fixed recurrence rate RR -rp = RecurrencePlot(time_series, dim=DIM, tau=TAU, metric=METRIC, - normalize=False, recurrence_rate=RR) - -# Calculate and print the recurrence rate again to check if it worked... -RR = rp.recurrence_rate() -print("Recurrence rate:", RR) - -# Calculate some standard RQA measures -DET = rp.determinism(l_min=2) -LAM = rp.laminarity(v_min=2) - -print("Determinism:", DET) -print("Laminarity:", LAM) - -# Generate a recurrence network at fixed recurrence rate -rn = RecurrenceNetwork(time_series, dim=DIM, tau=TAU, metric=METRIC, - normalize=False, recurrence_rate=RR) - -# Calculate average path length, transitivity and assortativity -L = rn.average_path_length() -T = rn.transitivity() -C = rn.global_clustering() -R = rn.assortativity() - -print("Average path length:", L) -print("Transitivity:", T) -print("Global clustering:", C) -print("Assortativity:", R) diff --git a/notebooks/tutorial_VisibilityGraphs.ipynb b/notebooks/tutorial_VisibilityGraphs.ipynb deleted file mode 100644 index e682f60e..00000000 --- a/notebooks/tutorial_VisibilityGraphs.ipynb +++ /dev/null @@ -1,768 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "6154b988", - "metadata": {}, - "source": [ - "# Tutorial: Network-Based Time Series Analysis via Visibility Graphs" - ] - }, - { - "cell_type": "markdown", - "id": "86362e1e", - "metadata": {}, - "source": [ - "The objective of this tutorial is to introduce the network-based method of visbility graphs for nonlinear time series analysis and explain and illustrate their application with the __pyunicorn__ package. First some theoretical background for understanding visibility graphs will be given and then some methods provided by `pyunicorn.timeseries.VisibilityGraph` illustrated. For a detailed discussion and further references, please consult __[Donges et al., 2015](https://aip.scitation.org/doi/10.1063/1.4934554)__, on which this tutorial is based. " - ] - }, - { - "cell_type": "markdown", - "id": "f5ecd3c6", - "metadata": {}, - "source": [ - "## Introduction" - ] - }, - { - "cell_type": "markdown", - "id": "82630840", - "metadata": {}, - "source": [ - "_Visibility Graphs (VG)_ encode visibility relations between data points in the one-dimensional time domain, by drawing upon analogies between height profiles in physical space and the profile of a time series graph. VGs are based on the existence or non-existence of lines of sight between well-defined objects \\[__[Donges et al., 2015](https://aip.scitation.org/doi/10.1063/1.4934554)__\\].\n", - "\n", - "They can be applied to investigate purely temporal features such as long-range correlations \\[__[Lacasa et al., 2009](https://iopscience.iop.org/article/10.1209/0295-5075/86/30001)__\\] or time reversal asymmetry \\[__[Donges et al., 2013](https://iopscience.iop.org/article/10.1209/0295-5075/102/10004)__\\]." - ] - }, - { - "cell_type": "markdown", - "id": "e02236af", - "metadata": {}, - "source": [ - "## Theory of Time Series Visibility Graphs" - ] - }, - { - "cell_type": "markdown", - "id": "7083e755", - "metadata": {}, - "source": [ - "### Standard Visibility Graph" - ] - }, - { - "cell_type": "markdown", - "id": "4d45f2a5", - "metadata": {}, - "source": [ - "In a time series context, well-defined objects between which lines of sight can be established are the sampling points of a (univariate) time series graph. These sampling points are uniquely characterised by pairs $(t_v, x_v)$ with $x_v = x(t_v)$. From a practical perspective, we can identify each node $v$ of a standard visibility graph with a given time point $t_v$. For $t_v < t_p$ (and, hence, $v < p$) a link between the nodes $v$ and $p$ exists iff\n", - "\n", - "$$x_q < x_v + \\frac{x_p-x_v}{t_p-t_v}(t_q - t_v)\\;\\forall\\; v < q < p$$.\n", - "\n", - "Put differently, the topological properties of VGs take into account the time-ordering of observations explicitly and are thus closely related to the roughness of the underlying time series profile. An illustration of a timeseries with respective visibility relations (grey lines) can be seen in the figure below, taken from __[Donner and Donges, 2012](https://link.springer.com/article/10.2478/s11600-012-0032-x)__, that illustrates a timeseries . The VG of a time series stays invariant under arbitrary affine transformations.\n" - ] - }, - { - "cell_type": "markdown", - "id": "dbec9eef", - "metadata": {}, - "source": [ - "![visibilitygraph](images/SimpleVG.PNG)" - ] - }, - { - "cell_type": "markdown", - "id": "a0c4fc91", - "metadata": {}, - "source": [ - "### Horizontal Visibility Graph" - ] - }, - { - "cell_type": "markdown", - "id": "1b60e2a4", - "metadata": {}, - "source": [ - "A notable algorithmic variant are _horizontal visibility graphs (HVGs)_ that facilitate analytical investigations of graph profiles \\[__[Luque et al., 2009](https://journals.aps.org/pre/abstract/10.1103/PhysRevE.80.046103)__\\]. For HVGs the more restrictive condition\n", - "\n", - "$$x_q<\\text{min}\\{x_v,x_p\\}\\;\\forall\\;vv}A_{vp}\\text{,}$$ with $k_v^r$ and $k_v^a$ being the time-retarded and the time-advanced degree respectively.\n", - "\n", - "\n", - "- In a similar manner, the local clustering coefficient $C_v$, which characterises the likelihood that the neighbours of $v$ are also connected, also can be expressed in terms of past and future contributions: $$C_v^r = \\left( _{2}^{k_v^r} \\right)^{-1} \\sum_{p,q\\in V:p,qv}A_{vp}A_{pq}A_{qv}\\text{,}$$ with $C_v^r$ and $C_v^a$ being the time-retarded and the time-advanced local clustering coefficient." - ] - }, - { - "cell_type": "markdown", - "id": "71ebb8e0", - "metadata": {}, - "source": [ - "#### Irreversibility-Test via Kolmogorov-Smirnov (KS) " - ] - }, - { - "cell_type": "markdown", - "id": "d82fb93b", - "metadata": {}, - "source": [ - "Looking at the frequency distributions $p(k_v^r)$, $p(k_v^a)$, $p(C_v^r)$ and $p(C_v^a)$, it is expected that the retarded and advanced sequences for one vertex characteristic, e.g. $\\{k_v^r\\}$ and $\\{k_v^a\\}$ should be drawn from the same probability distributions, $p(k_v^r)$ and $p(k_v^a)$, in case of time reversibility. Then, rejecting the null hypothesis that $\\{k_v^r\\}$ and $\\{k_v^a\\}$ ($\\{C_v^r\\}$ and $\\{C_v^a\\}$) are drawn from the same probability distribution, respectively, is equivalent to rejecting the null hypothesis that the TS is reversible. For sufficiently long time series the samples of individual vertex properties approximate the underlying distributions sufficiently well and the Kolmogorov-Smirnov (KS) test can be used to check this hypothesis. Specifically, a small $p$-value of the KS test static (e.g., $p<0.05$) implies that the time series has likely been generated by an irreversible process.\n", - "\n", - "For illustration purposes, the distributions of time-directed vertex properties of a linear and a non-linear timeseries will be analysed in the following section and evaluated." - ] - }, - { - "cell_type": "markdown", - "id": "41f104c7", - "metadata": {}, - "source": [ - "## Application of Visibility Graphs" - ] - }, - { - "cell_type": "markdown", - "id": "0ddeee77", - "metadata": {}, - "source": [ - "As an example for the application of VGs and HVGs and the class `VisibilityGraph` a linear and a non-linear time series are visually tested and the KS test is applied for irreversibility with the distributions of time-directed vertex properties, after going through some basic concepts." - ] - }, - { - "cell_type": "markdown", - "id": "90a819f1", - "metadata": {}, - "source": [ - "### First Steps" - ] - }, - { - "cell_type": "markdown", - "id": "185accd3", - "metadata": {}, - "source": [ - "Import all needed packages." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "745b1e50", - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "import math\n", - "from matplotlib import pyplot as plt\n", - "from pyunicorn.timeseries import VisibilityGraph" - ] - }, - { - "cell_type": "markdown", - "id": "757844b5", - "metadata": {}, - "source": [ - "Then we create and plot linear a time series (TS) based on a linear-stochastic first-order autoregressive (AR(1)) with an additive gaußian noise term $\\xi$:\n", - "$$x_t = \\alpha x_{t-1} + \\xi_t \\text{,}$$ \n", - "where $\\alpha = 0.5$ \n", - "For more background on the construction of time series, consult __[Shumway and Stoffer, 2017](https://link.springer.com/book/10.1007/978-3-319-52452-8)__. " - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "1a5e5042", - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "np.random.seed(42) # we set a seed to reproduce results later\n", - "mu, sigma = 0, 1 # mean and standard deviation\n", - "N = 5000\n", - "xi = np.random.normal(mu, sigma, N) # gaussian noise time series\n", - "a = 0.5\n", - "w_t = [0]\n", - "t = np.arange(0, N, 1) # construct time array\n", - "for i in t[1:]:\n", - " w_t.append(a*w_t[i-1]+xi[i])\n", - "w_t = np.asarray(w_t)\n", - " \n", - "# plot the timeseries\n", - "fig = plt.figure()\n", - "ax = plt.plot(t, w_t)\n", - "ax = plt.xlabel(\"$t$\")\n", - "ax = plt.ylabel(\"$w_t$\")\n", - "ax = plt.title(\"Examplary AR(1) Time Series\")\n", - "fig.tight_layout()\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "b0970273", - "metadata": {}, - "source": [ - "Now we construct an object of class VisibilityGraph. Note the keyword `horizontal`, that can be set to be `False` or `True`, and is `False` by default. We denote the object with \"1\" to distinguish it from the second timeseries that will be analysed later on." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "d481e772", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Calculating visibility relations...\n", - "VisibilityGraph: time series shape (5000,).\n", - "InteractingNetworks:\n", - "Network: undirected, 5000 nodes, 16703 links, link density 0.001.\n" - ] - } - ], - "source": [ - "VG1 = VisibilityGraph(w_t, horizontal = False) # creating object\n", - "print(VG1)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "367aaa50", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Calculating horizontal visibility relations...\n", - "VisibilityGraph: time series shape (5000,).\n", - "InteractingNetworks:\n", - "Network: undirected, 5000 nodes, 9986 links, link density 0.001.\n" - ] - } - ], - "source": [ - "HVG1 = VisibilityGraph(w_t, horizontal = True)\n", - "print(HVG1)" - ] - }, - { - "cell_type": "markdown", - "id": "0a3d1527", - "metadata": {}, - "source": [ - "It can be illustrative to plot the visibility relations for the VG for better understanding of the concept. They can be obtained with the method `VisibilityGraph.visibility_relations()`. Note that we zoom in a bit here, by only plotting the first 200 data points." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "8d8b5cdb", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Calculating visibility relations...\n" - ] - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# obtain the visibilty relations as an narray with boolean values\n", - "# i.e. Trure: two data points are \"visible\" to each other\n", - "visibility_relations = VG1.visibility_relations()\n", - "cutoff = int(N/10)\n", - "fig = plt.figure()\n", - "ax = plt.plot(t[:cutoff], w_t[:cutoff]) # zooming in a bit\n", - "ax = plt.xlabel(\"$t$\")\n", - "ax = plt.ylabel(\"$w_t$\")\n", - "ax = plt.title(\"TS with visibility relations\")\n", - "fig.tight_layout()\n", - "# plotting the visibilty relations as grey arrows\n", - "for i in range(cutoff):\n", - " for k in range(cutoff):\n", - " if visibility_relations[i][k]:\n", - " ax = plt.arrow(i, w_t[i], (k-i), (w_t[k]-w_t[i]), color='grey')\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "e24eb9d5", - "metadata": {}, - "source": [ - "Of course, we can also plot the visibility relations for the HVG after obtaining them with `VisibilityGraph.visibility_relations_horizontal()`. In this case only the relations for one specific node are plotted as an example, so that one can easily convince themselves that there is only a link between data points for which a horizontal line could be drawn. (Note though that the visibility lines are not plotted in a horizontal manner here). " - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "3c3f7f27", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Calculating horizontal visibility relations...\n" - ] - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "visibility_relations_horizontal = HVG1.visibility_relations_horizontal()\n", - "cutoff = int(N/10)\n", - "fig = plt.figure()\n", - "ax = plt.plot(t[:cutoff], w_t[:cutoff]) # zooming in a bit\n", - "ax = plt.xlabel(\"$t$\")\n", - "ax = plt.ylabel(\"$w_t$\")\n", - "ax = plt.title(\"TS with horizontal visibility relations for node 55\")\n", - "fig.tight_layout()\n", - "\n", - "i = 209 # only plot the nodes visible to node 209\n", - "for k in range(cutoff):\n", - " if visibility_relations_horizontal[i][k]:\n", - " ax = plt.arrow(i, w_t[i], (k-i), (w_t[k]-w_t[i]), color='red')\n", - "\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "445f785f", - "metadata": {}, - "source": [ - "### Irreversibility Test" - ] - }, - { - "cell_type": "markdown", - "id": "eaea9cb7", - "metadata": {}, - "source": [ - "#### Linear Time Series" - ] - }, - { - "cell_type": "markdown", - "id": "fd5fd60a", - "metadata": {}, - "source": [ - "We start by analysing the linear time series on irreversibility. For this we use the time directed degrees via:\n", - "- `VisibilityGraph.retarded_degree()`\n", - "- `VisibilityGraph.advanced_degree()`" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "c8abc84c", - "metadata": {}, - "outputs": [], - "source": [ - "k_r1 = VG1.retarded_degree() # obtain retarded degree\n", - "k_a1 = VG1.advanced_degree() # obtain advaned degee" - ] - }, - { - "cell_type": "markdown", - "id": "8b81f887", - "metadata": {}, - "source": [ - "Applied to VG both methods return an array with the corresponding degree for each node. For such an array we can obtain the probability for each degree with a kernel-density estimate using Gaussian kernels. [Kernel density estimation](https://en.wikipedia.org/wiki/Kernel_density_estimation) is a way to estimate the probability density function (PDF) of a random variable in a non-parametric way. We use `scipy.stats.gaussian_kde` for that." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "ab06fcb7", - "metadata": {}, - "outputs": [], - "source": [ - "from scipy.stats import gaussian_kde \n", - "gkde_r1 = gaussian_kde(k_r1)\n", - "gkde_a1 = gaussian_kde(k_a1)" - ] - }, - { - "cell_type": "markdown", - "id": "19cb5e7a", - "metadata": {}, - "source": [ - "Now we plot $p(k_v^r)$ against $k_v^r$ in red and $p(k_v^a)$ against $k_v^a$ in black and compare both visiually. The first figure is plotted on a non-logartihmic y-scale and the second one on a logartihmic scale. Both plots are cutoff at a degree of 12, for which probabilities get very low too be comparable. " - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "07800115", - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig = plt.figure()\n", - "x = np.linspace(0, 12, 1000)\n", - "ax = plt.plot(x, gkde_r1.evaluate(x), color=\"red\", label=\"retarded\")\n", - "ax = plt.plot(x, gkde_a1.evaluate(x), color=\"black\", label=\"advanced\")\n", - "ax = plt.xlabel(\"$k$\")\n", - "ax = plt.ylabel(\"$p(k)$\")\n", - "ax = plt.legend()\n", - "fig.tight_layout()\n", - "\n", - "fig = plt.figure()\n", - "x = np.linspace(0, 12, 1000)\n", - "ax = plt.plot(x, gkde_r1.evaluate(x), color=\"red\", label=\"retarded\")\n", - "ax = plt.plot(x, gkde_a1.evaluate(x), color=\"black\", label=\"advanced\")\n", - "ax = plt.xlabel(\"$k$\")\n", - "ax = plt.ylabel(\"$p(k)$\")\n", - "ax = plt.legend()\n", - "ax = plt.yscale(\"log\")\n", - "fig.tight_layout()" - ] - }, - { - "cell_type": "markdown", - "id": "adebe395", - "metadata": {}, - "source": [ - "By visual investigation we already find strong similarities in the distributions. Now we also apply the KS test for this time series. For this we can use `scipy.stats.ks_2samp`, which gives us the $p$-value of two input data sets, therefore telling us if they are likely to have been drwawn from the same distribution, which would be the case for an reversible process. E.g. $p>0.05$ would imply then that the time series has likely been generated by an reversible process." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "0c5cead0", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/plain": [ - "KstestResult(statistic=0.0072, pvalue=0.9994903068538411)" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from scipy.stats import ks_2samp\n", - "ks_2samp(k_r1, k_a1)" - ] - }, - { - "cell_type": "markdown", - "id": "ec953d2d", - "metadata": {}, - "source": [ - "The result of `pvalue=0.999... > 0.050` implies reversibility of the time series." - ] - }, - { - "cell_type": "markdown", - "id": "da798677", - "metadata": {}, - "source": [ - "#### Non-Linear Time Series" - ] - }, - { - "cell_type": "markdown", - "id": "daa011e0", - "metadata": {}, - "source": [ - "Now we do the same for a non-linear time series. We can construct one using the logistic map for instance, which we take from the tutorial for the recurrence plots. We only change the bifurcation parameter to find ourselves deeply in the chaotic regime to $r = 4$." - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "id": "7c13c46c", - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjcAAAGwCAYAAABVdURTAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOz9e7xtRXUnio859z7nAMpDRQEVhfgkEk2E+MCQtmOCjdGbdPpG7dzWq5H+tU23XrWT/H5+/HUedrrJq73aSSAaJLSJSey8bh6ihiQ+UDQIwRgEREXldQABPYfXOWfvteb9Y66aczy+o2rMtdbe63iY9fnsz1pr7ppVo+asGuM7HjWqapqmobGMZSxjGctYxjKWQ6TUqyZgLGMZy1jGMpaxjGWZZQQ3YxnLWMYylrGM5ZAqI7gZy1jGMpaxjGUsh1QZwc1YxjKWsYxlLGM5pMoIbsYylrGMZSxjGcshVUZwM5axjGUsYxnLWA6pMoKbsYxlLGMZy1jGckiV9VUTsIoynU7ptttuoyOPPJKqqlo1OWMZy1jGMpaxjCVQmqahe++9lx772MdSXfv2mYckuLntttvoxBNPXDUZYxnLWMYylrGMZY5y88030+Mf/3j3/w9JcHPkkUcSUftwjjrqqBVTM5axjGUsYxnLWCJl7969dOKJJ3Zy3CsPSXCTXFFHHXXUCG7GMpaxjGUsY/k2K6WQkjGgeCxjGctYxjKWsRxSZQQ3YxnLWMYylrGM5ZAqI7gZy1jGMpaxjGUsh1QZwc1YxjKWsYxlLGM5pMoIbsYylrGMZSxjGcshVUZwM5axjGUsYxnLWA6pMoKbsYxlLGMZy1jGckiVEdyMZSxjGctYxjKWQ6qM4GYsYxnLWMYylrEcUmUEN2MZy1jGMpaxjOWQKgcFuDn//PPp5JNPpsMOO4xOO+00uuyyy7L1f/M3f5NOOeUUOvzww+lpT3save9979smSscylrGMZSxjGcvBXlZ+ttQHPvABetOb3kTnn38+veAFL6B3v/vddPbZZ9O1115LT3jCE0z9Cy64gN761rfSb//2b9P3fu/30hVXXEH/9t/+W3rEIx5BL3vZy1YwgrGMZSxjGctYxnIwlappmmaVBDz3uc+lZz/72XTBBRd010455RT60R/9UTrvvPNM/TPOOINe8IIX0K/+6q921970pjfRlVdeSZ/85CdDfe7du5eOPvpo2rNnz3hw5ljmKg8emNDhO9dWTcZYxjJ32bcxocN2jHN4LN9eJSq/V+qWOnDgAF111VV01llnietnnXUWXX755fCe/fv302GHHSauHX744XTFFVfQxsaGe8/evXvF36FYmqahzcl01WQc8uVLd9xLz3r7X9N5l1y3alLGAsp02tD/edEV9NY//fxK+n/gwCb9j7/9Et1wx70r6T9S/vCKm+jUn/sIffT6O1dNyljmLBuTKZ3/sS/T52/51qpJOSjLSsHNXXfdRZPJhI477jhx/bjjjqPbb78d3vPiF7+YLrzwQrrqqquoaRq68sor6aKLLqKNjQ2666674D3nnXceHX300d3fiSeeuPSxHAzl37z37+kH3/FxOrD57QNw9jywQX9z7R208W0Eyq67/V46sDmlz938rVWT4pYDm1O64qv3fFs912WVO+7dRx+/4Rv0x1fdspL+L732DnrHpTfQu/72SyvpP1I+d/O3aHPa0D/dumfVpGx52bcxoWtu3UMrdlIsvXzmxrvpVz78RfqlD12/alIOynJQBBRXVSV+N01jrqXyn//zf6azzz6bnve859GOHTvoR37kR+g1r3kNERGtrWET61vf+lbas2dP93fzzTcvlf6Dpfz9jffQ1+5+gL5x3/5VkxIu77j0i3TO+66kS/5p97b09+CBycJtTKctkzyYWeXFl3+VXv7uT9PvfebrqyZl28tk9n6mK3pB9+9v59gy5tpWlfSMDmZ5/+6Pf4Ve9uufpD0PYot8tJx3yXX00l//JH3si99YEmUHR7l//yYRET1wEM+zVZaVgptjjz2W1tbWjJXmzjvvNNacVA4//HC66KKL6IEHHqCvfe1rdNNNN9FJJ51ERx55JB177LHwnl27dtFRRx0l/g6m8uFrbqdPfRlbnYaUSZMY1tZzrD0PbNDnbv7Wwn3ddd8BIiK6e/a5leUTN3yDTv35j9D7Pv21hdqZbuFz3rcxWcpz3b1nHxER3b533zLI2pby4IEJvfzdn6bf+vhXFmpnOjNWTVckuVO/q+o/UhLw2woaHzwwoXvuX3w9/9nVt9I/3bpnYbfLrd9q18Btex5cmKZllDvv3Uf/3z/+/MLjSu/wULNILausFNzs3LmTTjvtNLr00kvF9UsvvZTOOOOM7L07duygxz/+8bS2tkZ/+Id/SC996Uuprg8KQ9SgsufBDTr3/VfRv/+9qxZqp2maTgvbjrn+M3/yj/Sjv/kpuubWxeKXei17caLv3ZfX8P7p1j00mTb0jzcvZorfSsvAL33oevrR3/wU/e11i8VCTJekmd9z/wH62T+/hq7JuC++dtf99IJf+ju6+FNfzbb19bvvp30bvpb5T7fuoSu+eg994LOLWVZ78LlQMwv3vyrLUaRsJUB/xXs+Td//Kx8trsdSWdY6W9b7uOxL36AX/upH6e9vvNutszGZ0mduvDs7zz9yze30gStvpos/9bWF6Fm1hfJgLytHA295y1vowgsvpIsuuoiuu+46evOb30w33XQTvf71ryei1qX06le/uqt/ww030O/93u/Rl770Jbriiivola98JV1zzTX03/7bf1vVEBYqDxzYpGlDdN/MxDhv4RN8OzTG2wOWgT0PbNCnvnxXJ2hRmSxJEP3FP95Gz/yFv87GWfTupMU6S7RuxXO+7Vutdrk781z37tugD19ze5aBdpr5gpzvQ9fspvd9+uv03k/6wOWqr3+Tbv3Wg/S3meDU62/fS//sVz9G/+mP/tGtszkzuSz6XCfs/lVotT2wPHilzlYCsBu/cT/dt3+TvnGv7x7/8DW76Zc+dH12fi7LArYsIPe3191JX7v7AfrYDb5764+uvIVe+Z7P0Ls/fqNbZ/8sJnL/gvFw3w4WwlWWlYObV7ziFfTOd76T3v72t9N3f/d30yc+8Qm65JJL6IlPfCIREe3evZtuuummrv5kMqH//t//Oz3rWc+iH/qhH6J9+/bR5ZdfTieddNKKRrBY6c3D+Xq/8JdfoJ//iy+4/5+wBrYDyU8CC+sX/vIL9H9c+Pd0WcbllhjOooDjC7ftoaYhuvY235K0LCC1rHZQiTDi3/y7L9Prf+8q+n+uvtWt09G4ID37N2aMeNMHUpHncdPdDxAR0S33PODWWZY7abqFa6FpGrpu995soPZkGy2o85bJkoA+KhHg9Esfup5+6+Nfoetv93eULcvtMl3S+2gC8/z2mevrjnt95WQSAL9N09D1t+8tKDAHf9zUKsvKk/gREZ177rl07rnnwv9dfPHF4vcpp5xCV1999TZQtT2FM2IvkHrfxoR+Z2bC/Jl/8TQ6Yqd9bVwgbIfGmARRrq87Z5pbToNblmk1Yk2Zdn3lO8sFtPP7t+I5RywuKWD87kxcQ3SsZXrKDDTSV0TgdXUyCm3TNPT2v7qWTjnhKHr56XjXo7ZirpH/LoeWD11zO537/n+g//DPn0Q//eKn4/6X6Gqdt5Ry2PTrZfl994qW3/i+CGhekmt1eWuBZvRELNGLWas/fePd9BO//ff0r59zIp33Y8/E7aw4tuxgLyu33DzUC5+YHqPhWuLEqRRpZ5klIvQi8TSTjsku6IoIDHoSELDX3raXnv1fLs0GHU+XBMhg2wGLS8TtsTTBELDQRax4EUY8CRD7lW/cT7/zqa/Rr33ki5m+ONAvNjmo3PLN1vJ06zf94NRVuwt++xM30jN//q/pyq/d49ZZZqybLhHgFFmLB1vMTWgtpHmeAegRsHXLbH6lYOgcPavCNp+44Rt01v/98YM2JcYIblZcIrEyfKF4C1Qy9G2w3ESYU0CLiZh6h9GTsx5Qsc5VN32TvvnABl32Jd+V1mlwW2DSjzD0iCtzWbthQn0FaI5oqxGmnzT9nFtIAv3lvqMepGXqrDig+Oqbv0kHJtNsEHj3XLYQoEesqDkCmiWBxGVZWgdZH0NAP9NOQIFZtYXwr6+9nW64476DNhHkCG5WXKQ7CdeJBEhKkLQU0rIlIjxDQm9JwZdD3FI5hh7ZZdQBkC3Ij9fJnAUtJcvS6iKCIfIOI4w4Yk2YRgRDYE3NWyLCq/vXisDNkGe0FYKxm5+Z9RGy3ASVoz0P5Hdl9S70bLViibTTxzJl2hnguoooayuaZh1IO1gD50dws+Iigx/xJIkEC4vYnW2Y7stzVyxHyw1ZkgYI2Kyg3kLBMETrXXSsIXoGWJJCTD8kcDPtDGD6pXrzlIilcStdPpEScm028nNZhaekCK373E7KAJj4+b/4Aj37Fy+l63b7GwmWvetqYYAesQAFFKjIWtjK0gTGscoygpstLPs3J3T2uy6j/9+f+Gfc8InhzdFIsDC37ixqUbjwshvpJ377M9kMq72FwW8nYgWJWly+8o37FrYeDLF4bIVV5M+uvoVe/lufzgZYDwFpOQIi7ex5cIN+51NfpTszOztCFrqlPdf2M/Kec5JbuGj9anOViEty1TE3Q6xtQ2n8tY98kX72z69x/x9tLgaay3Wu3b2XJtOGvnznfQu1c8Md99LP/fk12bUQsSQNiUUM8bOA225VhpNVz/NSGcHNFpav3/0AXbd7L334C/icLCI5MRay3ATaiZbfv+Imuvwrd2fPnYkFCw8BHD497/7EjfSi//5x+rPM1ud+l5HfzjCLR6adgIBD5X999ha64mv30GcyScAipu8hvv/cs/+jK2+mX/jLa+m3P+Hn5BgWOF6mJ2Y1W6ydZs61sH9zQh/74p1ZUB/Z0bWVAeeRMgSQDmEV02lDv/mxL9P7Pv11+qazUy/Kh4YAhUUtJZFNC7/zqa/S//z01+kv/9E/BqZXxNwqg/hi3kK5nL62smyV9W9ZZQQ3W1g2J3HBQBQDN27MDWO2i871IabV/NhS3XJfOSZ30z33zz79HCmRfDkhy8AWutKGmawXZOgBoLB3X5s48t59fgLJiKAMgdhBoG2xZy/WywAr5h/8/U30mt/5LF14WQbsDQH18a7D5c8/dyv97xdcTndkkjwuC/yie1L1TadxYUHO9T+AN0SAS946XB5jArS5renDNi34fYVSJwyx7mzBRPv0V+6m1138Wbo5m5dq+BzazjKCmy0sg4IPyWeG0wDDEEHHGbZ6776NLguuV4bQHYsNWQwkJZC4qAl7yI6dCLMcqjENc3lFNNFcX7I9WGcQk830FQEcAYEfsgANABelerqk/EG5g2dDwisAouctf3zVLXTl179Jl3+lvJtv0cBsXSIbG/jlGABcbO5NAlmtQ/E9AZA0BLjkLVLlviLWnQgPnrd84LM30d9efyf9zXV3uHVGt9RDuAwxsxP5WmbEuhPNyvqq915BL/zVj2UPthu0K2DBBTokMDliGVhUmIfyscy5+yLi0ggBlwgDDQCFzQiYCFlT2s+IoIppvZG54FYJKQyw7cgcirhT5nQXfOG2PXTRJ7+azdnUAf1CosP2068zTzCqBC64TiQ+kGh57t/QtuoBayp7HET3v8Xm5xDL66JrAZWv3XU/ve/TX8taqRJvyM3Fg90tdVBkKD5Uy2aIoQeAy5LqELWunQOTKd2xdx898mE7YZ2IZSJkhQiZVlN7bpWQsBi2iyVTZ0nWFXyfvB+VyLNfVrzTMDN7oJ0caFuSlWiIYCjV0yWy+2NZzwOV//JX19JnbryHTjnhKHr+kx6Vb3tBS0Xvxo2XpcUHBt9PZEv5EN6Qq9Ofa5bpa0n0RKzVwwKuh/GhX/3rL9IHP7+bHv3wXXT2d50wd9uj5eYhXIZMkFy9SSCeJprEb3NSNuMOMb0vzw2UYzzLWegh4DKoL78OKhEAFoplCvS/rLicIfEbCwOgpQGy+cBNyCoTevbtZ67n+/dv0k/90T/SR7/YJ0BLh+fenzlEN5G26DubJ78Ub89XsvrvLq8KWncGxTdF5rlbY5jVblEeszTlJLB+NyZT+pk//kf688/1mzHujcTaBZTOyFxcZRnBzRaWIabXXL1IOvkIU+H1Yswxovkttog7geKTM9DC4LcTWYTLErD4Pnk/rBNIjDVki32eocfBXmTrdcTisqirIuaGKK8XfN/sc2mauV/nU1++i/74qlvo3R//Cmtb3k/UHgfCk9Qtz9om+4yUyHON7FQT1p0Q2M3QNEAZiW3hXozHDNk5GBtXbr1Qsc7nbv4W/a8rb6Hf+Lsvd9eQJevzt3xLxGIOsRCOAcUPwTIkNoLIBwrD3VI+TZuBALzIQg/F0wxxA+WC/QbE9yya2yPmGqFinXz/fp2Q1j1IO1yUHknX3PQsyQK0rJ2DTdPQqy+6gl590RWG2UdAQa5E2tm/2RK5Menr6Hf/5Tvvo5f8j8voP/7BP5g6uXO4msBa6JWK/IAEWAm4kyLWnSZUp2EA3acx4vpP/1p0vcSChSM8P0BPBAAF1tSB2TzbBO8uXbpz7z760d/8FL3uf17J6tBS+l9lGcHNFpaIO0WaaHGdZcbcaHPjV++6n878lb+j9//919n9si5uZwgAKoOJkLYeiSEIAalcXxFmWR77PfcfoBf+6kfpnX9zQ3dtWX7sZT37pSU1DJj9I4IqtDMrsF4iu6XuPzChT9zwDfrEDd+gBzcmor0ccBim0bpV4DzrntHsy+179onPtr78zPbvVwkJpo9efyd9z3+5lP7m2jtM3UWszHJnp0dfuS/eX2jdD3wflqbycx2kiGXbSX36dXpah4E/Da7uuu8ATRuib7AEhh3gzxAQUXxWWUZws4UlIjwiWkwkSC8aRJksN6n+Z796D918z4N06bX9lr+YW2pWNzD5Y6benLAIBPsta7fUIEbo1/n8Ld+ir939AH34mj6BoxZekMaI8ArQGAFgk0m5zpAYk4UtSaG5UJ7nIdeIsJjItkPaag74DxgHsobo+xFYW3xNlet8+sa76VsPbNCnZ0knIwrUULeUm3E9yM+GxUktNj+X9VyX5dqMrM3UF3qe2mKJ6kR4zGi5eQgWron6B16WgYvU7px2OLN12mmaxgAONImXFVQ7JCNwrkSE3hCrSFZ4hUzPZXqQoBzyzBbd9j5Io80K6jiTjVgqQrFEfjOh9RIJwN9kg9ZzZ3mWNbcKFKZaGUKuiR5c+Y1HhE7E0tnnl7Jjjhzg67UdSVsRdbPH3EmJoEw7SwITkWe/vA0BVKyzGeBDaFyJ5+asmJFntsoygpstLNzP6S50ACp04cx6EWaALEDIuhKxMIRMqxEwMUhYLMZ4IvlYhuzMyo0dmoOHALBM27FYJtlevp0ykIsAjhgo8NsZEkuUqxdyXfG1qVwAEe09BBoDQgfR6mnWRETarTydNvRfP3it2A0zDHzn6kwFXVJA4nsi1p2I2zACpHi9RQHp0rKHD+hr8TxAszqZSijJoQdq0DPnn//x9/+BzvvQdW47B1sZwc0WllAAXsRyEWgnwjBQHbRgY8Gf7eeiAbyROrEcFImeXJ0BDCNkqRg2riHCM59NNf3Pr7MsDXJpeXcG1GmamLvCVxiGrQWtgfJ7/vxzt9LFn/oq63PA/HBr4Gdv1iTQzHWdG+68l377sq/Sr37ki7b/BdeCBmCh5xp5PwHLTaQdSaNfJ6b4BNoJ7GRc1vlog5Q+vyto3dFuKDRfdP+79+yjv/r8brr4U1/r6hzsbqkxid8Wlsg5KxGGEaoTAUAZvyv2t0aEZ2DxBSwDEaayFYDDr+PTM2+dpfnRlfDL9R/JHxR6ZgHXVWRbb8Sd0n4nqiq/L/1d9BVYC5twl5J9Hm/903+iBw5M6GXPeiw96uG7Bu24y86zSbKKADqm+HdbX36m3TDpkwjH8xgau3VXfvf6U9PECxKQpl1gITD0CWt1BEwsNtZhSo1bJQhKqNjOsB2ifh2kGGpFEMoAZSGEcyAw1lWW0XKzhSVmQsffvXZ8bbX/7k011A4CF0MY36KWgQjDQO38xt99id7zCZYjZBADy/QVyTMz6PkMYwZDznuKWkGGtDOdNkJQDhlrrgzRMnP1JgGhN3QtGPM86yPtpEpbt4dZ3/w6yG1oQA2qo607oI5e25jGwLpTazwCXJCl0ms313/8AM74esmCgMAhx0PcW0P52Tx9NeDde+1IxaE8hzzLPpqvBym2GcHNVhZvEXONaqjLyWUGUzt5c3Vy2ioKNrz+9r30wIFNdn+eZiLLrHM0DbEw3Ld/k37tr2+gX/rQ9bSRMi4PME8v7MOPMEsIHFIffb3rb98rzvkKufuWxBwRQP0/Lvx7euGvfpT2zYR6TAjKPnN1Ikw/11bIGhpZCwgMGDN9n2vFmPC9QbC2I/EsaN1qjTrnMkaAfZAQDiThRHSkr/s2JvTnn7uVvvXAAUEfv0+XiFVmGmiH97cV6/6/fvBa+s2PfpnVkZ+wnQG7pRZ1b4Vc+jPQlgfztq9+DpKs2zBLT2CerbKM4GYLC5pQ/+vKm+lZb/9ruvJr9xARBhW6xJJnWSGap0dey1lu/umWPfQv3nkZ/cwffx7QjPsiWp4Q1kKnP0LCLvCFtaoBICnfVwJd/TUtJG791oN09rsuo3/7Pp48qyw8Q1mMA4wYMcd/uOmbdNuefXTn3v2zvgLvJ/IOB7znXL0IcBlqPbBzKLXf19fMftFdX2gXixYW6B1qbT3nVs7R2AO6Mo05APXHV91C/9cffo7O/9hXTJ/usx8MUH0aY4HA+b5QO3fft59++7Kv0v99qc1TFdpoEeKLOf5B5TohxcO+O902oke7kRGwjey4W2UZwc0WFmTm+/RX7qZ7923SVV//5ux6X9+bJEN3iAyJRdCaKf9funTrtx6YfT4IaI6AiQhwcauYBZrTUnMLbVhm0MWYCt4tReK+O/buo6Yh2j1n2vOFXVdgHN180ILebWVoDFKZHk0TaidbJ7AWcMxNatdn9svaVQNdgmp+o7loQY283v5PtoPKkPizXFDqN2dWx2R9jPCGZW2Q4G3l13187iXS0vrdnDYmcHZZzzVmbfLrDEpcKuZHoz7J1PHWBPrfaLl5CBaZ8jp9zhgGmHSuFjNQE/WmmmAYwASfPvVkN0wXjMvQHKCH0zREOxNCRzGKrJkdaKC6DDq3aaDw0toQ2m0QYqCBceTyU3R1oIDFz3qoX9+rE2Houf5idfrvHkkYDOgx2/rdZzaY29KhC9rlo0EVnh9YsPBx9mkaAu/MJ9G6pSA/I/G/ofwsBoBwOzxvF6ft5nseEIePzjVWBDqXBGwj/GMrdiBaGu1vC+TsHNSy6yDFNiO42cqCTOhae49ZXPrv3oKQ2jeuswmysnqfkmbJ3EI0AyCFCtIMvLbwM5N9LLqDaFmaV154SdoHZ6BN4/C7DzHZLLhRTDGrGQeY3JBx5dpCCkOuHddyk7FiIo00p+XqEsoOnbXsyf/hXSyZOgOAZCTWDbVng1J9OnSJARdLqy5IKdi950H6Z7/6UToHnpMUeB8AmOa2TFuays9+WNBxmXcOX+M+rRp45eKtImBvlWUEN1tYcNI8yQQGAwVnHoWsKRkNPbcI8vkQ5qeHKKgNaSY7zfwvJHQy9AwQDDGNqTwHRJ0ISIswvqn8zNGYsxxtpQZp63A6yoIxEnPj9TdhD8Yyezse7ZqJCKb8WNN7tmvSClo75qyStLSYLL1DzM7lPrhU0kOUsSAPBEA+fbad2771IE0bopvueaCvB/iGLpbHIF6Zp7mlqf3MUb+sM/diOxB9OZNTVs2YwdqMPI9VlhHcbGFhhhKjKSFB7c2ReXd/6LIJ2vE0MEnzrI9pYmTDBEyWGQTAhLaC4MWY6PHbGXaadk4wlIVXojkX6Im13fZzyC6WXJ0h7iTe3rBAbUl7vk6Znlxby0oAx62YOodHDxgsbfNaxPw6rA9nnvNmvISDAlQEhHlop41a77l1h55LzMrs0AcAv6kD+Bmy0kRycoV4TACgh3J7BYBLaI2zd+9a64GypOc3VMAcCyGnLaIIrrKM4GYLi9QO5SSbKsbB69h2ygwdBXzpkvOZN+pT1tFMvyw8Iho2iu/JtQUXmsPscTuBvsBz0KXTjAMAJCe88kI0139AeKXn4lcxNOZcG9nnEdFEA+MKpTMIzPMGPM9cO36cgWXokTmE3qvpH4ALvRbQ2vBcCijj8qIAXQtY9Fy14B+e2sLnDX07Dn1QKCO+OmsTNyNozcfBBXjMkurELMj99xIfzoITaJXBa0JeS30fnOhmBDdbWNABflZoBIBCgBmETPpAMOiJntOGOoEZyVMROg+r/x5hPLl8DENMvRHNa1FrU8zXLceF/pfvPydgJbOO0IhAVmhHRuC5DnUnxSw38wMgaC1Tz7UB67d7Hpg80fYQSwGnW/OK3JrEFlf5icqQRJDYPab7AnNoQEoKW4e1E3qHildNbb25FagBVsyI4hGyMg+wAOVoym8amNWB/5P9SyDl/+9gKiO42cKS82XmzpYx7USYQQAkoYDiXEImL54lIoQEPY4oiAg8ovwZN5oB59bZslwKQ8zcWNsl9cmfOZn7dEFBj7qEtmcHtLNhWmbmuUaASwTER5SBwHpBAcV5bVUzfdyuuG+g8PJ4hJxDqi6bZ3aLb+6dUXEc2g2dc7GizN4uPxsIPmP5vzBd0ZxcGmwit1YTeWaDlKzceiFBD2xH8FinHcAHDFDPAOO8FbM81lWWEdxsYcEBxelzPqDgm+LLYAIJj7yLRNUFJt+FtHAg1GE9tUARIAy5PQZp3eU6ecFgM9Babcg+zyFAYfFdXyTa4VVtbqGcoAwI/AFaJu/XoznXjnwuZcFo0gkghp4BPqbtAe8wZ3HJgiwwT3P3RfrXRWcGx335dRYBnyHBDfmZXFMR5ZEIKXKW3iGB4rkSynMzwNqUq4etfv5Yvf/lNkbw+/dvTsTxLassI7jZwiK0Q714pvKTKKqhBASDM7fy2qoVmJ75MqJ5Dc8kGxfmOUvH0Nwzpb6IiN77ya/SOf/zs92iRSZaXXJJ/HICIQIUOnDlVwnGfaTxWFqHmJ6HmP05bbYOsTrlORNpJ2K5adR7QSA6F3hvacz3TUQ0AWnx/Tw3iI+Q/V9GaF142Y30wc/vNn1F5hkWcIn+Wd0GjCcALBfhDXm3lKUnpPjA56r7WIzHDLEgZxUGMT9xnVyuNTSHGsVPcwBI89zJtKGz33kZveR/XJZN/7FdZTwVfAsLytvhaWf6Oy8xwTAMcGjXBprEZoIDl4lLDwAgOZpzSyEJgiyTHaIth3Lh9NcuvvyrdPM9D9IXbttD3/OERxjGt4ZOrwbtmHgJFVwu/rcA0CVizz/AQFFMhd1BlGPoxa5CGnTIihmZ5wAMRNrJuV91IHFoDgUSSjbiudDsWuoDCRZJh97htmPNgs079u6jX/zgdXTMETvoh595gqBxiIs2D/bkdV1ftBsCqEPnQvr0QUpkDqP3q6/FLGJulYEu4zJIIvKfo17Ta3WV5fnmCBCghHsu2vsPbNKNd91PRO1Bs4fvXPMHuA1ltNxsYcklZ8O7JRxGzJmKwzAjgIOjeGMNSRoYmsSK1uGMxxPUnOYIw0j9szbMYnSbCeb/sO9FP5uIVhmx3EzUZySJXfS05JDpO8PkPGGRo2mZjHiI6+pvr7uDXvrrl9GX7rgXtIP7glZMB/CjOrE55FbJziW0td5mFLd1NJ5N/3rwwER88vuy71UBXGwx1TyC0Rx6hw5vGDwXMH+N8EUios2MFTNnEbN052km4ms4M4cGWkNdPoSOGVHPBlvk5Fgxb5D38AD8SIb0rS4juNnCEtEOQ/5nYHExfXHhMcAcnHdL6c+4cI/tlppPUKP+kabm9TcUFOh3NcSSJrboOkyladrvQxl6TsBGnodHD78vxKyXxIgjljykDPzV53fTNbfupY/f8A1bJ7AWvDWA5gCaQ3fs3UfX3rbX1I0Fyfdj0e8sL2DLddwYi2n5+bQ0TmftkLnPmx+RNR2z0LEfgXZ6Gmf3K8VB1+elXXuSHmTFjLzXIce3xCw3/bV77j9A19y6p+8rxC/6B6nnVw5gZ+eiA3rRM1tlGcHNFhZoNs1kOl0kt8fwHSLpPtlujqFPoFuqTPMi42r7xcya05u737QTyk9jF+qQIEW+W6oVXL5gSN8j7UYYmkerqZO1yPmC3qMp9wZCgBgwUI9mTlO61idO7Ot7jwitBcPQgVKBGPn/edEV9LLf+CR94979ov/sMzOCgdOcm+eajv4+61KQ9+TSE6CSTxUg6UBgfpG0FfNabjxgl++r/w6BrXqOuXm+tEShiucREb3hD/6BXvrrn6Qbv3Gfud8FiQGFJZeyRP+W/8PtcfpXWUZws4UlFyyIT9ott5O+fv3u++nNH/gcXX/7XtG+blO0k9UE7b1e1s+hNHvTPOKG4XQjQDhkW2LMrGz7MMA0QLeukwON6TvSRC19vA9vFLFYmZzwmue5JiCX60v349Xxx2/nsA5mDa0FnmDTgDxLg35GvNU79u6jybShu+7bL/rPW26UVSQDZPj/bdwWe2bqyA10T9M0YaUil4LB220ZytsVsD4OzUSt3083F0JA1z+Kg3+PpICI7aSctZNhRCgma/eefUREdPvefbP72Q2DnlEGlJg6ljfo+YkA4eiWOsRLzsKQM32bdgAz+H+uvo3+7Opb6Q+vuJmIgsIjk+cmd6qvzoUT2hHhMND7929CLS9nMu4EAASEkglENNGhW6izuYCctnRMR0l4Taa4jkcfkXz2QqAPBI05waSFF6ap/x4RaD4j7r8P0dZNqoKQYCRTJ7crzwJs24cFhLhvUTczp6DbxQgUn0YMkjBwR0UnpIvwBhSIa9qNzPMIQM3wVwzkcF+I5gY8Vx2Aj9uy78XUAcBFF6T8pq9D+CdaC3q966B0XjfncjKA3+FBqyojuNnCgrdet7+hEHXaQQt0Yzb794Ptyd6qiaScx9qqFB4IxZu+wKLa8+AGPe+8v6WfvPiz5t6IUIRaRMZd4LWVt9zI9kTbHVNhdBf6autrq4xlKk2jn4cjGMBznU4b+lcXXE6v655rmelxGnOWm1BCOPCOTJ0gkC3VgSb02TV9FlKObhmLUGbotk7flrH8hPqX9yDAwa95AjZnEdTBten7JLLwyFpusrwBjH2ohe7OmQUsV8dvB70z/A5NOwXFI+d+8drKA5dZHb9KNkAbWX5CSpZjiUPTwbPay//573603BziJRe0yAWTrjOonYzFRZdJdqKDOg3+RBM929eszs33PED37tukL8yCL4cuzl579Z9Hbk3phZujGwG4IW4PTbc8ydzeqwFQRFtNdNx9/wH6h5u+RX97/Z00ncbdDpFAbcTsczTFwG5gbE5f2JrhzwFv+Nmdg2DM2iUJ3WNT27/3PHRMFgRS6pnhuK3cO8N1IryCjyfX10Q9lwhvQO18/pZv0XP+29/Sz/75NbN7+/o+0LffBUCPrqlJ/tkPORE+sl18CEjiNOXfh9MOWHeRdW/iHIGl0/vU/a6qjOBmCwvSPpD5tK8TZ/qdwAXa2RATZURbzQYWOiZabKmQ/5s3xgKbjG39d1x6Q8csed0IQ8/l0hF0uzl85KGp2BJEsg54P7qgOvp5iC32uBnRVl542f/laHKP2gAC/5ZvPkB/+Y+3QXfSENCswef8a8F/Hl7+D3R/KKZEgbSShbKZYsAtXQHYXcZJmEwbM++8ond0ofVqXbblthFv+OosP8pXZsGysQ0S9mBi7WKJrAV45h7kO6kd/5khN+O+jQndu2/DtBddU/o99okT+/qRI250O5CfG7kg6/I29TOP7OrdzjKCmy0s+d0nYBG5grL/rt0EOUvDIHoyZlDd12DhoYDH5kTmlAi3o4AMp00DqKZp6Df+7kv0vk9/vQv0nDfouGMGmWeUpxtrWfLdN7JPh77c7ofUL7JuoKLPv2rEuGQf4n/TRuRMiSRlQxr9z/35F+gNf3A1feard4u+9Jh4yeaOggDdaQeBCSc7K+8DAYZ+Xtv+XcGs8o/Id2j71wDZi9nLBZASIWsGpo8IgV/Zl/jMxIjoguKdNDCMWB/ROHT/wy3alvZ5Yql4nf/9ty6n7/+Vj3ZrJtQOXOeSjnmDt/WaxkeR4E9xzYAcTP+qyghutrDkAt6GuDhyGnUuANbQAzQvvdByeW4g04c96TqYSQ4XQvY+u5W9X2ipvhY6uXWHt8sq4Tktj1/HOSALnX7WQ9+hp1WF3VIZBqZdLPx//5/fvZKe+9/+hvY8sAFo6p8R11YR3fc8cICIiL55v9+OLjmLSc5lpIt0GzoMXZwsjeu212Z1wPyIgN9JU3Y5eS4WC4D6PtC7m0wa6PJAxcbc+LwBWa084Q3d7CpRJupLF6TkiHfmAEJDT+G56ufI//eNe/fTnbPdSx7YuOH2++ibD2x0Slbo4MwMSF2WhTInO/oxy09eP9WB8yyH3LapjOBmC8tg7TDSjs5dAZhKBCh4BwHmtDOcMh5PaKydtZ/JnDx0d0wud0UOgPXZR/N98f/lNbfhwrOU56Y1oeN2921MzM6V1K6u27qlyvS1bWGmKa6BPj5/yx7au2+TbrrngRkdrM3Z9zd94HN0+i/+De3e86Bpuwe77W/9fvQ4ecHzIf3P3hvR1j2AnFMq4DpRCeRaGp3+VR0EfnX/6DlrVwBWKmS/UcvekOBlaOGb/TiwOaW/+vxtvQUVgiQtuDklEcGNn1nEBYfj+lg/jjCfTBv64f9xGf2Ld11GG5Op647sLHvKKpV79rmje3AoAm5nOM+X/8ul/8gdJpvjO9tVRnCzhQWbkX0mmers3bdBf/GPt9H9+zdFXX5/1w40hTvMANTRSD0SJ4SY91337afv/a9/Q2/7s38C7ShGmNnSnadZ9tm21chPQKPVCmFXRIQ1+pzmFtWYShaXNqiUj6v9fPDAhM78lY/Sqy76ezMuzWyJ2vmAtHdIo2FOrH8ttIj/r/3sQap9Htfu3kv7N6d04zfuN2PVVkJteWn7w4SjdjwQzvvQJRfjglwT9nnY+1HcSSwWopwqoDFzCAkmBYDAURHT6ZCYG/9IAo9voDp/fe3t9B9//2r6tY98UdQl6p9P105m/eqC5xT7/zSYOyoAkjhN6ffGZEp33ruf7rn/AD2wf+JaTD2LS8SqyunWIQT8dm+e691SyLqUsxpGlF6Y52a03BzaZRPklbGmb1vnok9+ld74B1fTH1xxExFhc6fNL2HbMfRA4IIXLm+TMzK9syN9v+H2e+me+w/Qp2+829CstUycLweXsnaG/8fX+uZ0GrZm5M248nqOcCu8SPzW7Xhuh9v2PEjfuHc//ePNe2C7ejyTpoEAVZeW0aU68j23/5f3p3fP60EwoeOrFENPfYs6E9DO7OvmZEo3zyxEpfFDAYuHX4hF8AVcv26I/U+NK7IWFW/A1kg9h/z1m74XY7J0O5g8AbYj606DHF7nm/e37se7Z59oHGZjQGC94lQbbC1Mg7ulQDsoZ0vOstfymL5NND+sq7ev89ufuJH+w/v/AVqu9HtEcUnuOld1ciBFXFNWUPw85D0oX84qywhutrAgoJBnGO13zQyyKbTRRI+cp+NOUE4/GEfjAJfMwkOL04IkSLIDNtj/9fMIMH0+xqu+/k364Od393UzDHPItvvhGhMWyqmO1qLlWPt+tbY6xCKGn6svULtYppwmDlxOXTvaHQSe/S9+8Do681c+Sp/+yt0zusjU0e6g4YJRj8/e62X95e8QH5bqrEVVB607fa0EkCMAaDLFQce6lCyNnrWMN6cBD4wVUc9skpnnuiDXjZ7Xg9eqmpvpWtNwZcC258W6IYGPLIsXfvJG+uA/7aYv3o4Of9XPKD7PdOB60foXctFK2iEf8tDWNpYR3GxhyW83ldf5d23ZEIFzXV25UJDw0AUuYsaUPKuMXsQ59I+D3RJd8lpoy2whxsRjrpzGzQxDf+MfXE3/4ff/gW6fpTbPgrIGjS0mHOAzU0wej1W2h54Zv5Ybq0+ffa6o7YgGqefVRLkEUX8o+V6q/vW77xefOBZhdv9E0qe/88K36vs7RFh9Z93qwHF9zUsVsKnqQEtSBiBDC0Mj+8PzDAOQHH0aRKa+iLg101+bqS604jnPE7mudMnFcaX+JV90eAyY9xoQomcmLTc6OaKlMccb0zXs6lX3QxAPh2b4Wc76xr8bSyWYV3rdoLGushwU4Ob888+nk08+mQ477DA67bTT6LLLLsvWf//730/Petaz6IgjjqATTjiBXvva19Ldd9+9TdTGSy5+IyesOmYANGNPwCCrjC6oHb1o4UJX96FFnNMqkE92czoNIf1SLgvrOrP9b060Ztz/2Ptgu1Nn72xnjwQYWPPy2pJ055iKx4h9xpPbIWFyewS01Zz23P6fZm1zGhVNWQCU/ufH5ei1kAN3SDCm+7t2FF28HV2w2V/2mQN73jvU1yJWVH8nlGwbgTYthIvKSRPbTYdj7xA/k+8OgYm8VUa2g/kHJBHG5Sy8FpyxQqVHCfMcnyay7nFOr57n6MgdIztC81yOTfJ7zN85PXqt8/qpDpofo+WGiD7wgQ/Qm970Jnrb295GV199NZ155pl09tln00033QTrf/KTn6RXv/rV9LrXvY6+8IUv0B/90R/RZz/7WTrnnHO2mfJyyQkrJJh6Zq0EA2gnxwy8RYzAlo6mLzFQT1CnS7mTmbWZP8LA0LhyO7E6epTw8rLfdtYDEPdhBYovYHXJJ/GzY3MFExMa1uUkP7t2Imc9wXnX/x9ac5J23GmZjX+fOhJhCp5/3syO6+Tyf6CYl8j76ean3u4NhF4u/mzetThtnJ1Qqh25fqzwnGeeec9HZHBG79mAPPR+ZB/QEq2etY694W0/cGCT/v3vXUV//rlbxT2CjowiNk9weaKpCBqn+BwrfZ/O/2KsMnCe637lGtO08DL0jLtpowAikFO6DlKUJ47FcjvLysHNO97xDnrd615H55xzDp1yyin0zne+k0488US64IILYP3PfOYzdNJJJ9Eb3/hGOvnkk+n7vu/76N/9u39HV155pdvH/v37ae/eveJvK8ov/tW19L/9xifp0mvvIKK8RpvV/LRgyIAS7LrCMz1ikows4pwQzFkYpmrRII2JiOi+/Zt0YNPfLp4TKGhc2mScBBOv75mMS8LLF56M7ik5VomM8EKCyWHWpk5j6xARXX/7Xrrm1j0zmvLvB4IbxQyTGyin5ectlOU6GjTn6IZB8c4LygWjevNeX2vnUf8bgd+IZcSsOwiSPMuAfPbo3Ufa0aU8P+RnD4Ay7ycLYmftZBIhfvZr36QPXXM7XXjZV4nIc7PzMWDLIxHRX/7jbXTV1+8RdMl25LUS+Nyc4ufK79ucNOZ562e0CdZU5Dn6bn1/nnmxO1jBpUwdwIc8tLWNZaXg5sCBA3TVVVfRWWedJa6fddZZdPnll8N7zjjjDLrlllvokksuoaZp6I477qA//uM/ph/+4R92+znvvPPo6KOP7v5OPPHEpY4jla/d/QB9/pY9LFlT/z8NXObWVhWTHaQtTtCC6f/fNHoxyLrpWs5nnss+LJD9RGuQ7fd9GxP6/l/5KP34b7XvfxNo2I26jwf7QUasGA9vq2MqwGQcZQaoxCw3ui9LYETrNmMF9E2mDb3i3Z+hl7/707RvYwIFA3JV5cAldgPZfu1Ycb9IW+2BT0tILicJAvreWogAZD3P9H36vab1xaeED37lOErCwqQKSGOfynEgISzW3TSWKgA956zVDNDTdHVlmzhWRs4BPIfbF7sBeIyb8wnUuX3PPnrDH1xNb/yDz5lxIRe6t6Xcrk3K12mkVZXXy/IvRRMEN4SL3NjgzTN2zSiC5ec6JLXHdpaVgpu77rqLJpMJHXfcceL6cccdR7fffju854wzzqD3v//99IpXvIJ27txJxx9/PB1zzDH067/+624/b33rW2nPnj3d380337zUcaSyXldE1E8oJJhzFgb9v1wAntkKHkDxOfdW6kcuUMus7UKXNEaC5hItCPx9Y5Y34rrds10DmS2RXTuQqfTXNqfIHCzHps3KRK1rq9R/1DJQsopEAFBrgfLHkOoggLo5ndKeBzfogQMTun//ZjE+IOFgtDOuUe8z11ZuB1EPLHPtNMV2vK3cuj4vm+KwRDm+vOVGChTN9PmnpkX0n50f8rPtP88rcDtAME0XCTjv/+8LZQL3lXmDnlMwrm829xO4ycVxpWuor5Q5e8+DKc7On1OoHcQXrVvKefYOH9LzHI3f8lrbji5GyQKgNbdrE797DwDxfjE921lW7pYiIqqqSvxumsZcS+Xaa6+lN77xjfSzP/uzdNVVV9GHP/xh+upXv0qvf/3r3fZ37dpFRx11lPjbirK+1tI8SYsvs9BRxlk9iXPp5HU7aKHffM8D9JrfuYIu/8pdszo2OFe3nTMr93UYyXrhZcCW0HKn06zG3+0aKNJT7ksDMiIb92F2O1CrVUrmlD6lgEPFuh2I/U60yvoYSLH+J54Q9BmoDvjEdWRdcV8AlOS2wEKB5mwBzwlP5ALrQLPuS0xQgiUXmK3nIu/Lggn2OyO8bf9yt1ZEwBatdg1+hjkA5MhEoZhFXE7Y2kTiPnT2luYbObd2vo6sS5TWfT8mvaMqgaTcLtLUTw60dXUAX7DKSZ4PTaZT30qn5juynuhiLYR5fsqt4LxdqQQr6ySBOt7E2sayvsrOjz32WFpbWzNWmjvvvNNYc1I577zz6AUveAH99E//NBERPfOZz6SHPexhdOaZZ9Iv/uIv0gknnLDldHtFW26wiyd9DhAeAG3nNOP09dJr76CPffEbdMzhO+iMJx2r4kCsQNHMES70xtMOSdCac121/ec1hGlDMxPpVNxj2ykL/M2pNQcjrVIDIF+LscxZFz3+iuw9eotuVdlxaIZRtLhMG6qZYoCE4Ma0fByE1raJyCToS9uTEdg18xPRrWLLcuZwbMWU7aAki67lZsG1mcaq34+eDxHLSKPWXfcMFdhtwLgMcIHzQwphrtJ69KFg1ZzLGrpslYUBPlcn6SMaa6PqoPczybwP3VfW8gjy3Nix93U2p9MsYE79INc3b2tTZRiXdSS9aPy65JUsTwag56HbKfAPD9VvY1mp5Wbnzp102mmn0aWXXiquX3rppXTGGWfAex544AGqa0n22toaEfmCZrvK+lpLV++W8id7surAOIP0qZgDEfBRdwu0r6OBxoHOjDs1dbSgLmU4bZq8xpQTVDlBjYSwdsOgdlqGTuK3plkH2ab+uIaEtCrNDDAzJFg0Uyk9V6tR2zola1caa0koTyaB06PBVnB7JhR+ZuIzzQewNiM7/nLCUwMgzIhNt4Yerw8IJvR7FQDV18x/6UPX0w++4+OdSyQbUOwAKVTHCE80P7ICjmCRLnU8X9u2VV+gbcsbbDua1lySyWQBQnFB4p1N7XPW9Gieh9aUec9gLiBrqLbAbAIFqlGWEe02TP1xJQJZkFO54GNfoTN/5e9g3i4D9sD8sHFKsm6iFa3ViXoeqy4rd0u95S1voQsvvJAuuugiuu666+jNb34z3XTTTZ2b6a1vfSu9+tWv7uq/7GUvoz/90z+lCy64gG688Ub61Kc+RW984xvpOc95Dj32sY9d1TCIiFluUsAb1ETlb8hAu8XnZ+vUizC3S2KjM+n7fbX/LzPHkom2aSyTRZqOJ2D54rPakKwbpnmCNSb+7CcqfXpfxy5YpGUTUbfDq6WdCx0FPkEAnt2G7zDQApPVAhY9+43Ac8XWC22elrmKRFsK4OdiOPL5cijTTvvZqDpiPszgxRdu20P/4f3/QDd+4762HRhcr+gqPMdWy+1/b06B1j278KFrdtOX77yviyXLZ9K1a9q+e1k31cdrs782mWrB038/sDnteFcJ/EZ2vBmFLgdiM/NF87q8NVBeQ2tVrvumeIyD147hQxrYNtodm4u5oW5sBgA1+h1OzTjSPR/5wu108z0P0udu/mZbV8SW4ZhKM9ainJD8zFM6V11W6pYiInrFK15Bd999N7397W+n3bt306mnnkqXXHIJPfGJTyQiot27d4ucN695zWvo3nvvpd/4jd+g//Sf/hMdc8wx9AM/8AP0y7/8y6saQldSzE0u42pEE83GKzhMBS301D/awYRiMbTw8hY6zs3Tt+NZXHIWhvSN3+dl29U5dLBG29fRfaWxCivRBFt3kLBAWv/P/fk19Kf/cCt95M3fT4895nBIt/5trWay70Qnp7GkVW1OG6pr/lwt42ldV4Ik4Gu3glFrsJgRy+efS6efWwtWME7FvbwPYyUCIOCPrryFPvhPu+nJj3k4vfmHnmqOx+Dtwfnq0GgD8u0c4vd54EEKKnlvqoMFk+yraLVT754DuX/xzk/QYTvW6INv/D6Y5yb3DpFyouui7LvaGojasWkbcgCs73cyVbyK7Di8LdzZdpw6CLg0pi8ydfhYPMuN5p12/JK2DWDdsiBafqb7y0pOLAB+1WXl4IaI6Nxzz6Vzzz0X/u/iiy82197whjfQG97whi2manhZn7nLspmFldBAwanZBGgBwaABB9q9hTS/xqB2+ZloE4sBMAy7c8D2pbV+tIg04BimrSp6jFZlXU5FptIJQfter/jaN+ne/Zv0xdvvheCmonwczGRKVFe2XS08S9Y3m6ZffhK1gZRrCt14jC+b1BA+M3lfyHIDgFS3FtQcDgF9IIjS3N+/WQZbHtM3bYOttS6QTTt9pvK5pLb1O0Q0llwKnuKhBROaQ3sf3KAb72qPuDgwkZY9BKLts7Lv0LyfQXmRbDs6MFlu2HDGWlgLRoECVtUWNOb7wi7aMgBqiAwAQon+NK9AY+W0Qau/ohHHSXnyhtMTcH0DkLvd5aAAN4dKWTNbwe3C6iaL0hb5NYTmdZ3O75rqosWX6Mi4pRp1XwS1o7TnkmHgU7h5X9o8jpiKbsePuWF1VJ9tOwHLjcuc7IJFzLnXmJBWKQOKfUFgAdAkQ6PHZNdLVjM1zvR/wfjAs27QM9PMWvWXwFYOKKB5HksxIOcVOmdNKxN4hwympwQSLfi1zzb96gXzdPZMyL0PzQ+7gwa/19Ia1wHnCEhtBmKyen4mn1lO4OZy2HBriI39k3V7oGvjguwOM/s8xDx38m3lQImneJgcNma3JXaPy75wvq0GjCOn9HqWG94O3NIemGdIyTF1AI/Z7jKCmyWWbis4Mr92IEQx/wwDxdkqZXv90fQ+U+nNwXnLjc0Zgyd/0XVlmDWZcdhYGduXz2SJXbOL3AgCxfRTf5rpG41p2tAUCgLejqQNW8ka4nYSz+KCdrFoJlt6Zl7mZw1KKtKWG73rCY9VPzPLiOXnphLkiCboWnV20eQYOnJLNV3dWTswuB6NtRxM3ih6WqCtxyrb3gDuTyuE5b3pWo5XtDR7deQaX2vs8+HtbEymWcWs/S7HpRUqeZ98L6VYJj2vOhpVIG3uGJb0fzRfOP/amHpj1e8VzTtFs3qv+n1gCzJQGAp1cspATnZ4gcCapyBQL8DV1Co9us7BEFA8gpsllhRQvAHyORjtMKDF5LUhKUSx9tEIekpxMCYQGJpoywG87aGYPj1pbKKOGl+qU8pBoXNZJJqGWmW07x210wbSWcHEaYOWm2lDFYhzEAyjYf9wxuoGFKvnAeMDeCzTpBEuMDxWPPdKzBrNYRTLlGglKuXLmfWVSUuvk+ch5pzu69xCE1tHC+bSHNaAEKXXt1vap/CZIYXBuiTL9OQsJ2mMUx6T1c3F/trGBFvxInMPKUc5gKrfYaqHnn2qs5E5gNOCTfTMehrdNaWuybVq+/IShQqB39j5AdcUmEMQaGv+wcaI4psiOynbeQ/Gqp5HMWGhGsMqyghullhSzE2aUHrHDJFlpLkDJnEAnmwnl1jOakwlbdVjGH2d1oROhToYAOmFXmpnYzIt0qMFQ7qWA22ozuYECx3dF2qHf3rmYG4n6QGHZgbMLeUEApe0d81kEUjanE5pDVgYNLM0Qcb6meWAS8PquAAojQu78nhdLBhnn8p6mUunnzseJAvknLmn63gHI3KNGmvm8jeR1bqRgBVraurlHFLCE4KU/r7N6dTZCp6fe/p59OOYfTrWBNt23g3UNBTaFajBFloLlsegcak51bXf1/GsmEaBAvODX9qcIOuffYe+kpXnQ+h5aD6Mt8bLOvi5smuKvlWUEdwssfRJ/OxWcL1ANdIm6gWayXMjGJacxJ7A59c6a4JghLJu+l5iBhGLi3dMgGxHx+XgvnLxLV0dwDCEpQIwlQbUwcF+/W+vL04biqmYNg1V8LmqOrzdqfxsacSJwjSQw8HT7P1MGlpXSSA0A9VzIY1Rg1itoJl56QBL/oly6hDpOv4OGePyzcy9XI4UC5r5bznv0n1WmNo6nEbt8kl9lUG8fs+yLqrjxaEgkCQsJ0rAevNVt63BnXn2GYVOCHglvHFcX8SSVQaxk2mjjuLAdYrtNIE8WZMpdI+XLDfTpuny4aS+vHnWKdYgHYlWBPH8wHLLpC7gzx5tKtGMYQVlBDdLLF0Sv4mdEJqBYrN/qquZNWLoNOvL3/1hd6zktTEdT4MsDHqBQCbnMgNidcqMWJvHkYlUC5hUr8R4EFMpBvs1VpgnIdy5PSZTyJx4jIsHSnjMjcdkxTgadu+sRLRDz53UKHoQKMm5Slq6pZXBiyFIdLXtJPCN1kLfTuqzb0fOKwTYtfA8ANyGLUizNOq5h+aZMft7W33ZWixp+GhN+QBIPg8c69b3pYOXu3fBrh2YSMsNokcL03RNAicS92Xd7ALMlJUjF+ib9+HPBaKWx0Seqx675R923es5NFG/Ux0N2hAfkps4/EB+vV70rrzicTZAMePtt2PFqQv0O1x1WXkSv0Op6OMXclp2D2DIrZMLKNaAIafFZBNzqTic0kKPmCStViXbS7TA7MzK1ItjLFidxjID3idRqzEhgW+sTYBhaM0cxe5w2jQga+/DcSD6Wml3jgYuntUOCVh+3wZwweltzVgTtaAAgyQSdYpHX4A5bK07aKyqbkZhyK8pDFxKFjHzzhytm9O2CSw3rrDQ75X97sEFa8esTfs8vAy0vH/tOkPCHD1rrSAYHtWgZ2/HamJuCNcp7dq0bilMczkwuWzFRO4kDYomU8SH9PZssDYb9JxlX5YPgV1XKvmeP8/89ZPGhRRT/cxWXUbLzRKLSeKnFjHXaL2ttkT9BIwEFKM6mmFtBEBSulZa6FrARSwMrnWn0M6G0oYwKMCuEcnQ5bj6Or01BTGVaUNUaZo1c5qmsbW/N6fY7cCvaMtcahtZd6ylRNLH6xLFkhF6pm89h/Rz1WAPW4lk2/rICE53L6DR9lf5GTtnrZzcDdchMA5rhUDv3jwPIJj4JwK/xuLirPuSxdQDyDmLHBL42HWGgaV8RhiAcV6lrQeRjQ3IqquzjvuKmD9f0ljLBwpbYW14DFxTet1584yvl/LahHxIz/NJU3Z/OspACbhMG2xl1Tx31WUEN0ss+vgFzWQ1s0zXu2tqsvWBwGCBqjw3OVMvaqdnjiSuoXasSdIXHqkORv+sjmboaIFMtQaJGWE56ZXVmBqyTAVZGGpFs81lIemGlpvGc0uxdrRgYH324wjk22g89xoTXkAIWw3Sc2817j2J7tw75PTyee6Z2fXczY0fCVxdFwVaanCR6utx5NpNdcw8U/PaA3tFi5xyJ8F1P9XgwlubrA4YB7LsTZsAmHBczaZ/sO6NgEe8gV3TR4g0oB3XPa7mOW5Hjb3APyLrDitQdicUAsi8exS4bviQuytP/sZjlfTwuukalgFyLq66jOBmiWWtlgdn6oWu/abtZ39/09Ul0Q68LwOArNZrE5dpppvagJakjBDuD87jzEkxHrI0ehmK+ULTTBaBJKhRKxqhH3vaiBw2E5R/ZEo0rdQ9rsaUhCc2K3PbDWLok0YGHUcEA3o/3tZ4bR5HmnmRoevn6mx9bjTNjsDnbgqvTr+11QomBJJ4u7x+v+28rHgQWTedNsWn+6ylgEyd9rP9vTFpxHk/qH80P3yriGwn59ojQkqFnWf+IbLo2ft1POBSAnIuKFF1cPxImZ6poGeKQwMK8wOBgNIz88+NknUilpvGcfV2sgPmU9Igum+vp8d7h5oeOQaz7vUDW0EZY26WWPokfpIhE/naWS7Aq0PNAigQroMWaCdwLZNDjK9daH47qb8JoMfEYggBI9tr69i+UV/6N6pjgkFV2zgADzAVwJxMQKAjhDsgOWlEMCaisWegvC8L2tr2fRrR+/GYI3dnea4RI6iLW1LxwZmR56qDjkvJ73JBx8a6AwHxbC1s2jrYXWCZPBIWGsihsfJPLHQwcEBuba9dXEd+ElmA3gum/hq03Ezx/NTAqcRjtGs1/UvzwSmoI+ZVMIsyOuDRAPQC2EPzo2kkX8ZAX4ECNfZEk34+mwb8AhBr+tLzbApBdPn9OHJCKVUlkDbG3BxipU/iNzVIVqP/9PIxM5pNUMjQ7eKbasuEEozJTSYTl4F23MnP62hQAhiGsTCkscrxY5cTa2diF7p+rtqa0I2DMx4XuEh6Sgs2Z7nptvo65mBuAkLMurUk2XYtmGDPrKvrjz3Vy4HG1IacU2WBD5/rFJjZI6AA1El9ErVzAa0pIvs8UZ3U3gaw3HhWGW1ZQ9qyAYR6DnV9tJ+tVVM2FAEOxmKKxjr16vgAJLWht4JHt6vrZ601eiIZ7+YBoFzcCXJH+5sWWF+6HdVnaqeYKLQJbPMO8A8vmSi/zbOG5lxpqS9O94GA5SZ9Ne+wAD4j295Ht9QhVtJWcKzB4YklmUH7Q+8eQZMtxww0Q88mQFPXIJNVmg0WHnrxgXaMgM3Xcc+E4gsdLLSGyCw01QxNm4ZqFlDsAaBKBB2jHRH9/4haywDSvIj895OuiWcG3r1n0hdzATBHA0rchIVlIajffWmee1YZO18sPak9v46sC2PUOtqb2dhnnyqI1AJkuzah0AkIJqJeOGwMAA5CeOo6bp4qxGP4fThubCosewCAmXWP2ra8oqWDvWuwE4uPp6cR8aq+jgb6yMKgAaoHpJCyZoOwSZQWlGg+pOs05h1qK7NdC3hjQyPGjtpJ/5uNS23nT2NC4NeCaPTM5H2Wnyr+riusoIzgZomlDygOpNBWDJnILr7IicrpGgIKOs+NDqLk7aV+SjuYLCOWddP4BzNrwJxiWYMlfalOzp1DhKwZ+MC6KkMzGps+eoJo9u7BPTr4kR9o2Ki6qY426ZudNgjsTZV26ICJXIxHf81/z2lMjRJUkXTymlkb66PTTktXTx//RHX64zH4uMj0r5+rZ4HSQb4lAObOaSDMtVU3Ny5Upwd9fR1sJVMB5xMkqK21K7XntYPAlR9zM6yOzYFl+/KsCRokoXa0+xODEt5OIFYmcK6Yx2NyGwtSHSK1XorzDPF3z/Ip3ytUoHjbmnmsoIzgZomFZyguacZIwGlm0KUrLyx0uwNBtp2EhzZtEhFpn3TJuhMN5CsxHs1U+rH37WiTcdd2IxeRlouIYUABy37jvkhmFkYgSY0NaeaTpqGa75Zyks0hwcDJ9k3f+ToIlKBxaEGA+jKxVQXQGD0IsBSrgqxmqA7/jeqghJYRS+u0QTE3NvGhmYtT6U7zAs75JQRc3LWpwFUJXEwcQc0vYddZNBCYinVKylrLY/rf3lrAJ7vzOhqQybpEdr16ihh6ZzarM3ivXFnz1oJZU6KKBUlqvrTtyHmO5tnEdX/yOjEZYPvHba+yjOBmiYXnuYGmRaHR9td5Hf4/tEMETkjN1FQfRGgRz+qqiVxiTk0jmQyByW+17Mb0ZQKKQQrvTWBNaRpNc9nXrXNi6DG19FgARITMyrpGGtuMZqiZtzV7+mYCVrXN3WSeRlsCzfroi9SzBo0lLVML976OpLkEpCIxN5ie/n6vjhZ6Pbix7aTPZLnRVkw9H7TA17+JyMTKwAy0JMe64QB2/czSdVGnkLW3cepoAGaDWtU8c11n/Hffp2inoNTYzMK2HU9ZM5m4AXCxYNPyRWORU+1oIInmhw0Enu9sOvTsEQAybjJQp+3DbweB8TQWXgfHOxXGQdatveoygpsllnRwJj78TJkWHebEr03UJ6+T92NjoBDRmFCAc4jxiHa8c6P6Op5fXbu3ytsirUCxmg5uh5/l5KXFr0mOHW0XT+0RzRKggSDoqchzI+/paAbP1ZijEWjWjK/wzDwAZq0ApOogd5+uozTaACDTgjtdI+LAxQON7FlN5Se/v88QbAWlfoaQRvBcNUP3MhTrZ4/mWdkqouvIumnc2HLD2gkI2APO/Cjt1rKWI/kOMY24naJVd+Js4dbzCtQRYBMcl9KCCUkzinExMTegTknxMAoDmmeN5dNF9ydI9+DF3OhnXZIBCFwhPrTqMoKbJZbklmpNpjqYCzMwHHND4n9ooWtfv2Syqb2+/8iRCEhj0e1okOaBktJYS0HQiOb0f6tFkKljGaqqMyWqWCIEDRDbOg1RLa0pCDjwzw0HXNTgHsMwKvtc9fMoWVPcOvrZF7RM7cZMtAgm6wQv80v42ALgJjMMXT5X78wd/hlRGJDlBs0hLVD02Ps6/LlOQeyOFsrAbTl1TvPO0OjH3JC4h3+mvopzKJAqAAEOD0zo/kvAxbpG5PslsvMBAkIFkiL0dONQ4BcBfRPsX3hmobUQqOO9w7bP9veGY63GmYV1X7bdXNoKdJ8ewyrKCG6WWNbSVnCUhRRoVXZra/rswYAWMlBDmeIJmbOCYE1HB1qiOlEGJseu6dGWAQS2olp/KBhUMx7lctqA574QNYV2NIPAZwcRNQi4qEDPNY6Amn4sXR2gUbftyedRiulwg54LDJSA6bnE0HFfmlmi95P+19NTDChOoD6zXrwg/ZK1y8tAK0G0XD+oHZQd2tuhokFaaeeP3w6jxwGJ+p2huLHSujc8TtUlsvE0CLh44EZbkIsBxaYd+UnkuW+swJ8vWNi6X4sWIDDPNZDKb2xI83zI6fPyGZXcdGi96Nxio1vqECt8KzhKgKbfd7uI8pPNBum1n3rR5BL9EVlXBGR8RtMgU2cy1Qy1vy7oAXVEO8A8b7fWApOx2vnja90+I0x1rMtHtyPPhNIxFrNas/+1n+0uDruNlojnucFMBYJP1qEfK9P/9oP9ZDvlRGFIO0OCyj5XTU9EWzXMeqqYtSeEOPgEglILNGi5CZz5g7aCo/ULgZxahyhwHQtq3Rdl63jBoNZ9IrqfbQXvLx7YLLstER+yOyATXX0da3EBNKo5g/iZPv8KucA0z8Xu+oAChYC+eh+bcN1ZhaEU1+fFGeZkAi9pLPgYGMy7I/xUh1SUrH+jW+oQK7mt4Ijx6cmOJpvvvvEXDQpY3QhoOjoPAxKwehwwBsj0BWhWDD3RZNpBWTa5QHNjbvrfHijg5z15Qa08Liey1dePuZF983vTNRzTwPpXgiH9PxcTldqSAtZzJ+UZut4N5LoNFSArgS1sru/rpnFFzPX8Xn5/t0UWmutxzI9k1gjsAWBZmIve2WNawHCa07WI5bUkYHWQLRGZoybgzkEDnED/UxLPMcIbOsBhtqvzdvrx8TrYKpPji7LPdqz4pG4NCEsWF2R91O/Di5UpKWJofqA6fIwwrm4q57lnfSvtpmsagutFP7NVlxHcLLH0u6Vs6uvIjowelPjCCi10a27sr3fteEHH6hoSDJqpRRL0FX27DuDgNG4E8kJoc33qJxIAV5F8PjDPDfud83WnWz0LAw9MRtqqZo4e+IRuj6n/7FMdfgkyUJB2vRj46jyPRr3nkpbnxQnxz0j8VdcfBNbtb//Ea7tec3FtqY5ZG6aObDuSJgKuOyV0OOjj7aC1IASsIxilC9tuBW9UOzzNhDcOJDxtDhs7VruxAbeD+FmMnn4ceGcYGVBUAr9zx8oowOEmLi0BILWxwUujUQSojQUmsXWvaaSVlxHcLLHw3VJwghQnW389lYjlRmeBRZqfPhZAa8ZEWMDxuunaUAtDA7aCt/5nEsVqwuWdJTBYGApPWUe7nNwMxVQKKLaaoH73k2ljApP5Z1uHaKpOetMxWSiAt5lKC13kcD60Q8Q8ewActMBvBbWtkxNCiR6rzet2erraOuU4oZZubFnMg6Tye3UDrPnzmDgKDBdeQJhq4IDXHV6bISApwC8AhOrdoyR+3qaFRtGN6mjeUHKPe3V4X3bTgu3LWjxke0TYDWT5kKOI8TnsZQbXikfxvDaswGiFF/FO/rkB6bFzin92NJf4MlgvLW9g9+hGVlBGcLPEks9zU05Z3U1QwQyncIFqpgZ3ICimqoNseZ/pey4ZYHufRfq6HXvAo62jrTSJbimEkSCwTK0kzL1tmrxMAChpmh6YtXU8v3r/+4BDMz4skNMTiNdw55X/Dvu2+Vitu69piLQmXGKOUTN7hB4zdmrEs42uKf2O0ldOw/7NSZYen0ZVZwqYfnFOW5DmBdDatUmFOuWAZjjPyNJYPn7B9m/jA3GdkqvI3QpugHWZV1ke06h2AB9ScYV6jSWacjSnOlbJyvMzb+dgKei4m+dpvXjucfHsk7wpzA81h9uxiyp23esKKygjuFli6WNucEAe0uj1FjsiuWgOTLR5GDAMwMB0Ha2te9u8hWBwQIms04i67bimeBHxhQ4XMYgfgQJW0gOzD/N2YPZQ+dvbaqzdUiVAhk/j1W4py4g9rbuUdl0LJpjEzwhYz3WVf/YJcPA6yD9v6Cm8w8iBgpAe1U5qS9OT2ktl34YW3HY+oJiOEigI5RiaYneBFsqpPa9/pDD4OWzUuCDYzNOorXZYYVFCkNHQt62VNcDPploIyz5THRlQjOgpPw8v2Z3ZzWeEuXU5lVySyBLdgHFhgMzqwHHZHFSluegpuDjmJv9cTR39wFZQRnCzxLJW+5YbpAnba5YRH9i0vm8iqZFEmMGm0tbT/3RsDAZJfTvaSoSYk2e50TEMWDD2v70TtjUgwzE3/e9cIHBXx2FOmhEXhbmT3ZUo75bSVhE0Dg+AmfeDaBTzpWyK1wwe0egzdEVPQZh6zLIE2hDg2Ni0wCW1l8q+DWu5KY4jwNC9eSaFaTyeRV9rQnVKArYshFHqfgNcEG9QcwgqYlPHKqMFvGpXt6MDwz1eVQIlkWzdrlJTyHNj5weKZ9H0BHaqwb7k2P3YMvmbf/Z9idtmFkn2213T8p5VlxHcLLHs4FvBC4wQ1UNnDm1MrHm4/ZTtlE20UwVkbB0r4Cw9WsttyNbRux08S0UxAA8e4AcsDMhHnQF/ml6ifJI4Ma4Ck/PcDjyLX/dcVe4KrEGqd1h6ZtNyUKl3jpaeizHAUa4DLR7K9Voy6eNnb4WXXi9ICO9TbqkGAjmrrWp+jYCcpkcrMPhQysDuQiWEU/3c+kV0ozpoDuuxIsBh5tlUAw45HiKk+JQBkKtAAX5mLFkhsFkGAWUriI0/MwLfiSEsuZwQcEDrTsTDgZQUiDdoQAytXVOkBMuxIhC96jKCmyUWbrkpoeZ0DSfN66/tN5ooAi7YncQnpHe2lF7EKFi4UQtLM/SWBlZHMTmknfmauK4DtFwVvxIxvyLzdG6Lak9vflHrvjZg2nNPM2/ENax1978nisn04+B1ylbDyKn1kMkFn6vV8kjVKbt8tIvHA6haWGyAZ5/6TEW7pULuz8AxHy6QE3VQPItVIDjtuTpmfgTAbyRVgC4W7Nm14LrHVaAprJN51wgkeUe85J4ZGoe3XrQipsHeFK27whyKWDxCFiAQuK75YCTYv6fRbwf1D9MJqHZ0G6soI7hZYtlR9+q5didFzNr9Au2v2Xb6e0XbUNPp79NmXCRgURZlIhtoWs4dURawSPOjhgSN7c4jWUU/RyyEkcBXXQGmguIM+JVI3AfSmKZNI08XB4wYBivrjMBTq1Eb604DgAvZ91PUINF8nZafa8jMPrV17Nht0KIF+paJWreUnefWLYUCJOXYcOIyDS4Cwss5NV4KZbA2GyTQ7HZobLXLrxfd9sakoaoSVcw899ZdCZS4x8Bo5QjwGE0jjiHU/IxMKVsfI2MtW0xJH7w7bQw/0wHOEVevH3PT/8bJRAlaKC2wRHX83+maBo2rLiO4WWJZW+s5AoqVMb5Ms4jb73xy23Yc4FIAHPpIiDQZNVMtHb+gF7FrVi4IgkiiQ5xwzQqUkhYT0czRVuNpQ2C3VFkwoOy/vBIWXkhjKoNG81yhlqmBnGdC1/TIOg2B5wpBEsk6c4MCeQ0rDJJGfaYbsnBokBSJh0MuMKucOGNlN27ADLSeMC8Dl5JbStPtx5bxeTalWqEb3XbTWAFmXMQObxDjYu13dRQf6jctyHY2UQyhAvql9boJ3MjTRoIQL+GoXnc4KF6u35LFw4+r42PHvELyTrzGSy4vdw4XeZWlcdVlBDdLLOsslwnebpqfWN1CZxf1bimkDWltHQnPjU27pdwKQauxEAFTL0zi11+LmFZbIFVgPFN7ACkWwvl2IsJz04vvUb+NRYoUiIQ+/Ibk8QvYkjVXvg11DcYy6XNfpti6JJicy2T735GtrZH4Mw8kGXBj4mnICIsDm+jZy7aQ5aYELPXvtv9ybJdWIGDA+dQKmLa9/tpkSoH54Qg9QaNd91rAbkymtFbLpEvWVeSBaAs4ciAA8Rj3UMxMsjvMq8rzKn5+nRxrQ+WdjMYF5yonem3aOpq/lyzjG5B3ojks54eeC33bvJ2ywqL/v4oygpslFglu8nkiiGZCp7DQkbaq65i05+x6jp6S0EFAyriuuh1efIF6SeJKQk9pOkD7gKCgwGT9FOv970jQ8SRiFUEJ8qaNCChux0Ey6Hpqx6EPo0OgsW2rxBy1dQnn9LH5Lmw/MRN6XnhoBjpt7BZuFOQbsdzogOK0GDjdGtzAdz/VwMEDjaqdyDb8goDr1/iweR6tUxLmG5NGZO/2aCxp72gcOigegU8D2AEf0oHACehaXiVINIDHS6pYTNMwtesOASl9rlZotxSgWfNFy4cUiPSOXwjMj5iFEK1X+TxWXUZws8SylrXclLcBokXsbQXXlhvEVPg1a4oH9KjJD/3YDWY8vCkkhLVA01mViWyMiZ+KnP+OxI9YrbdR43Iz6ar8NCXBpM/wSnWqApD0TOj2cM/8HMK+fwSA5P+j4NPUCdBjGCHZa2hXoLHcBAA6svQl2lNBW8Et05djRW4pPYdwskggvNAz4wIf7JrErjM5Li1g0Nh816oUnrWJuZHrVT+fRLcGrfyzbVtbCO1Y7cG79h1GzixDlizIh9DzUO75UnoFnF8KrAVocel/o5xcbSwi7xsHjmvF1LrH7ViRRa4MWsnwbg+gr7LU5SpjiZaqqjrrDYqVMRNLTWzEiK1bqv2nNIfreJrUZ38f0lYx+kdgS9LM74O5LJw09DpXQylwzssZUxSehqEjS4V2sXhCh7dT1lhQZtCY8AQ7oQiAxgLY8wQsH5sbbCjeKxBe5pnFYoBC+WmAy8mAm4newg3qGLdUT3sqCOgXhU6DNFq9i8S2o8e6rOMXUP9+Ej9Vp0Sj+14l4NBzunT0Rfqug6DNWBUISLfrdY9d1vo3eq98rOWcPujICv3OIpZorFSAZ18AF57FVI8DKdiIDzViHDZeRr8zP1klb2cEN4dcSdYb4wZSZkyimc++wAwQI+afRC3DLAGOqFsKoe+cidYDQNgVIRdxJFOqqaOeo2YyiRbNnMyCVdtm8dkwlqGWNMFpg60QEeBkwSYAhAGwV9piH7LcBABZq9GWacbxV/K+AyAIW/ePdg7qdry8ULxe1HJjgIsRcMgqkq+zMbEBxRHLawQgo2fWqGeEdxDJuXhg06Yz0PNTP59+rAiU9HVsfpr+Xr+OfR5tYLYchXlnkMch8J0X1DiY2/IqG49Xtpo1gOaSwoCAtu6LyKY8wOkmLCAt87iy7BjBzSFYUiK//SbFO9B0gKDmn0R+zI1eWLykf3EGoVE8AgXG9DxNffH+5cRF9ER2FXmMR4C2Bawp2rJV0npj29cRkLL92/T+5cyxGhT0bfe/kT9eB6xGXEUo0SDaOYfrsGcGBHVDeWHWtmOZH7J02mDhsjXUWIDYeFJBeW5KwqsFckjosHkG6uj3HDl+oRf4jEZHoMQ0ark25zkOQytiHj+D519NZf/CKjN7Q6btwqaFiXdsgloLpSSgOIEksIgVADrODG7nB3w/OlC6ND8cBUbPYZiJuwCcEK+y8xO7BDX/WHUZY26WXJLlBu1yiqS8559EuQzFkTr9NQy2JD1efgm9I4Tflr6XDqNDVhAkqHVfJQsQBgXa1Ap83QSsGQWNxdvJYMANMAerEAbLHB2GYUAj6l8LDzAOs41Wt6PiE5DFBT6PAgAiAvMT0IhjbsQlaH3U72MDHBaY6qaimb4eV9+2pqcsTCFIUmBcu1NQ/8gKouVFM7UCBYO0ch1+qRX4taqDrER5IAUVsQm23GTz3IBNCx5o1jSWQCviQ9NGgy2yvArQU1ROXEDG6Akk2PTPjZI04rxQpK5FFDi97svv/mCw3IzgZsllxyzXzX7DQJGmg108uTw3SIvx6vCFbQVuQ03BfYGYUyQniLdAi4BDMSe0qwdbgOQ4UCBf6XDNUH4JZ+xa6Dx4wD5rBG4kmMAMo2xdigEOwxwLY40wQpzoz74PND9LdfRcIHIUBtWOBVJ93VSQZa2U+wULShRTYevocRhFAworZSENvrPSoakRheHApKFdBUHtBy9LQJaup6IPzkTg0zubrlHtFJXFaSM2BLSNyLmA489AO4U1hazDGuh786y8Nu0cKr1DIi/OEjwzPc8KwAUG1+t5tnpsM4KbZRc35iagMaXFwK9FzPURbdVabsrCtGcqfZ1IptbIAo24riK7g/A4lMCHjBgxfQJ12G/HKmKElwaS04aqWidF08yg/FyxSwEAjsJY/SBK2VeEnrny01DAuoPaCawpYxVJWj+jEwH9ohViKi0wRFbAo5iodqzyvqhGze/T1oSeRvbbW1NT/u5R7I62MNj5oeM8UHyRvpZo4SRpXoV4jM2Unt6h7AtuNmDX9OaH1F9x3U81sPXWggZkth3z7EsKVGCNE6GcT8A9js5QK4ArX1mUdYoWQt3ICsoIbpZc1mfJrxAD05MWLXS9GFHispK22mlMmTw32ofe9l82KyPtUE/2SJ6bSEbPSE6QyNZWZEnSwsPPhaOBgx27fh8ISNaGqZQFk7EuwYzNljmWhZdj3WGVXM18qt8h6kvNc7CDSdOIdgWW8tzAtRDYLYWPX8jTiLTu9lr/OyJMUf9+Jl0tYPNtY6Fj65Qspt5RJDGlgs0h1mcq0RhCZLnhdTbc7OWKf6G1MOXteBagwppSQMUDlmJ+gHbss0eZhe2zRsqAAdFQodVtg/da4MtuxuapfGarLiO4WXJZX/MtN0jT4QUh60huj0hcDt4WaCcoX4wdSOKTf1pG7W1eGcrWQeOA7iT4jNRvwJy0O6ckGNy+hMDHi1pfQ5aBEsNCdTTjiwSsupqfASV5wYB2S5EWXg0Zk34DmKzdwl2e5/OuBaTRtnX7azD+rADSEABqNNMHzx5r1GCs+n3oGCgAXGwQuCe8+t8RZQAKfLXjEI3LCHzw7A2InVpehXiFrhN51sh6gJ4HTmgpf8dSHqh2KOK21GNFa8rOT3SGmuVD0TjLfB3dNnZLYcV4lWUEN0su651bqpyTYzMQQxA6LBDkVUl9du3AHTxkrmHLjV8n9SMZjzVr60Mx/fgEPi61oglpEWChIZoLIAnnlwCWAeD20EJHx9w0DZEeidEOgfDUQtffCZWvo0EJzF4KmCwWgtK9th+4nEpBvjGAbvvHMTflNZX6TAVvBc8DB2wRswIXCnx1TcfjYatMROhEwK/NxWMD+clYM8o7usrZulGCPi8pKW/LHvLbj7er4/AP8c6AfNW8KnL8gr/1ehjYigT7E8Xiz5DVvzzPLODT/TeA56FM3CVL52i5OQSL75YCcQaFRUXk+FYD5nqi/FZwL35EM7DUZyoTjzkq5lTcFgmEBQry1cUAMBCIi9qBAXiKgVrBaJ+RTtCHmAHaaqyTLmjgEhFeHgCLBbWyMQS0dy/ItWxNidXRgtHMYZC3A8efyTpe/BmvZyxrU/sO9TigpUIDSwSiCcyPwDOLAG39zjCNZGksjMM72V5bshDNmp72s68T2ao/dUCaBujFOawnB1nLopdugtdB4FPzSj/OsP8diSEkwi5aM8/BOR+leYYsLgbIQeASOSDWAsJVlxHcLLmsORmKkelbC1O98HA7CMWXGUYkiLHV+mWddJ2PozT5wxYGKKhlHbjLqAQKVCBfNEgPPSMrPMs7XZBbqi4wR//cl/73xDvNm1t3HAYmc3vYk8v13PMYWPF5gP7n2cKtQRvR/DuqUp8dPYG0CIhZl9zITWMBOdKWkeVIj3UCQBqiUR6uWbbGRoLAseVG8gtsbdJzqO8zFS/mhq9PHP9mATrOXs5+TxtSh5ub54G3Zyuw5YISCtRRzx6NS63pkLUexJaV8tx4/Wv+XgaNXtwl+30QWG7GJH5LLjvcmBsESgIoPhJz45ynw6vhOINy/yhSHjNZqcWEUogbLVcfE+Ac8Gi0CFEFA6kCsybCloFIELgBN7NnneaCr3Wr38C6pEFJKRg0FGAdfD9wd5AGN5t5monsc9VuMiJv94e8TbvAMEgqx58l8JkUEc9qNlFA3wIHe82CxjLYa8D80GsazmGzq8cKFd22t8b5JR6s289hC+SsUqFiM0B+GjegWIA0K/AtQLeHRyLeUAIcsYSFyGVMpp2SsoasROictXkOiI0pFZgPaUCKQKsGcnYOKT6kX84Kyghully6reCBPDcomZeeFPPkCMkxdF4HMWs9aSFzKATHerk0eNPQwjC17aBzmkQ7njZkBL6meU4gCbc1y7bTu0/ZqvHONE2jffbxfD0k6xgGKufMBswRIutA4RUAJcgChRixfmYmQBI8j0jWb2SRSu2lEgGfOlbFdUsFwJUWjP38aPtH77XkWuz6NzTaOtZtKes0pAV1b7lJc9haZSJZneUnEQKoPe09jWWlRs+7nqb+NzwTStGDgb6tE1GgShsSsMUj4KIN8CG0NvU8Q2lErPUxkn4jshWcVl5GcLPksr7mbwU3OTmQ4NbxNECjLeYIAYF8+wFDLwlKImtmb2Nu8vf5CbYU4AB1jAYJGI88j8syByjwTSVgYQi4CXEQuKy0T4Eb6MdWDBMLJsVkoYC1MTclkNQ05VO40bZmRKPNYQMAUCQuJ3IqONz+Wgafqb1UUsB3L7jLgtoPKJbXIqkbEm/I9R850RlaKAugIDIXN5jbsqNRCe/WKiLHpZ9RH3PDQAkQ3G17vJ2yUqWBbmqj5ELXgMPbCl6KMdF8uOUxpOrYd28VWsubIvMc5Y4y4AbMM6yw9L9h8HQTte7I57HqclCAm/PPP59OPvlkOuyww+i0006jyy67zK37mte8hqqqMn/PeMYztpFiv+hTwZPPdwomMT4duMCs0YJx0kEKbXXTWhOQlaZkucHoX8ePIAAErDvFOr0Z13MhwFgIUgK/wUDKCB2UF0JV0gc8Ik1nn2EqVpPRz8w7zTsCCCe6jhFeFqQlxpdyC1ot09Fo9fOYY3s2evY2oNg+swMwKZmsY9yGCOjP+trZrQVksZTrDAEyJJgsKCmD3wbMj5LlE7WN+tKuGfe9Ou/ME4w4kN/Sk+7t2nUzrvd1NABAbUPLjZr72C1l+VDiwzXj1aYdMFbetheIWwT6YL2iNaXHUYqZI+rn2XrNFFoUs2fmkK6j32sA7GliVlBWDm4+8IEP0Jve9CZ629veRldffTWdeeaZdPbZZ9NNN90E67/rXe+i3bt3d38333wzPfKRj6Qf//Ef32bKcektNzMGVjMBZ0BJWTBETvNGwoNICs8kuPlEL23nI0KWm7KJdhOe2FvWMvXYNpnlJtEdjQHSlgocIKmedUAIoyBwXScxlZ1rnOY8KMHvAwQ/wjqqXQSAHFAiAFhBeIWYNWCyGKA32TrRviLtpLqpaLchii+ywrwcE+X1r9+ZBjdorFrA+wIlX8do5mD9NmTHpuewfq9QOQKgIN2bip0Ltg5S1vTYuCKy1vGG8lj1euHxResO2ERzWj9XP+t3ZA5Ttg7iMWhjg1Gy0jtc9y2EOgjdy19kgo7BWhB1RssN0Tve8Q563eteR+eccw6dcsop9M53vpNOPPFEuuCCC2D9o48+mo4//vju78orr6RvfvOb9NrXvnabKcdlXR2/sJ7xd+Kt4LK9WByIbYcIbwXnE90wOWfyi98uA5VaDKyjNJ3Stlm+I6I3j1srEdY05LWINjSfr9s+s054ZZ61ZhA4vb9ksjjIV2u9SHgBIAdN1oo+Mz/KTBZZsiJpEaxFzLcmSBrzoAABkM6Kud5bA0tnobnvsEBjaouX3nLErZHyHqxU5NedR+PQoGMibw7LdqzAt3M6XU8lcg6eni9Eljfw1BbrzKpbdidpXtXH9+x0rVSe5Vc+D7x7Kz8/Goq4x2PtxNZ4/nngOaTirSDPVcqrnhwrKCsFNwcOHKCrrrqKzjrrLHH9rLPOossvvzzUxnvf+176wR/8QXriE5/o1tm/fz/t3btX/G1VMeAmsyPDWAEITHSE4tXat9kq5aekp9dOIjkX4AnGhjlqy00goRUQKJo5cW2oC74E2mEpSI4Ib5fX6+/ApgzAQ9YUC0gxuGrbmVkGQDuGYQQYj5dwrLQNH+/YmZmsnbF6rryIpaL47BFICuwQOWBcaegdqrGDfDkbKp4EASALHJAlC4E9VQcA0s5dIIJ1NW+wcwG5FKS2XF6bEYtpoolIxtxYIWjHyi+lr/yaB/54Wzh5p6zD+eIQ19lUgVa+FXzdsVJFFUEE9CPKQNnVi6yh6B3KOsZC6ICSiX5mcA4V3r3mHw91y81dd91Fk8mEjjvuOHH9uOOOo9tvv714/+7du+lDH/oQnXPOOdl65513Hh199NHd34knnrgQ3bmSFkiaoJ2lZGpBSWRHRFoMuW2r3tlSfLL1mlif+MFYZUAgn2ayXmCl3rKcfvYxR3Js3kGEeku5NRk3xpqBgw8jjEcxlYkEgIhhaCGM2kmFa4LzZC812pC3i0Q/jwLjIbJanWbECPw2BKwpcyToi2i0iOYDnTXU10Qju0hS2elYrVDbXqCl6T/gOuuBw2xNg3dWyhDcX/NpRv17SR5126lwt6XeGo/4gA72T32mYtICdG3nwU2jBDO37qwxV7u2HkQsnR24qfG8ihxqi8am+2rHVgYlvcs4w/NBXwigl9rRbqmIZd5fL+z3Qx3cpFKpTEtN05hrqFx88cV0zDHH0I/+6I9m6731rW+lPXv2dH8333zzIuRmy1qXoTgFc+UYcZlZ9gKXL+C8YEB+bK2JEXmWGzmeiHVHR+pzejyTsZcXQgvYTst2xg+ZLNBQcCAfrrOe2VFmgsDJF57JpB/ZCdVAYQGembJkGUYMLDfonXXgpu4FLGJ8th1JY8idpCwuWpgRxbTeA4pm9MxgzIvDaEXMDZqLrClvi6x+9ThWBnbvugRbmiIxNwGho+Y5ohk961S8eI3IhoT0HfGGNH8RTZ7lBrmu1utKBsXz/gMKw6ZwS/UhBMaaUXj2RHiel4G+bUdb2RGPm2+eYVeiHFcZuER2ZB4MbqmVZig+9thjaW1tzVhp7rzzTmPN0aVpGrrooovoVa96Fe3cuTNbd9euXbRr166F6Y2UHW7MjZ1YkYBiHvi5f3MK86pEEpelspOBG7Qt0ZjHAUNHmh8ngS/g9bqmjckELhC0I8QDbjsEk5X0GI2aUDt5bYTTLYOX80BSm+J56YEDUVXlAUdIY5o2NJmlOk7PVQt4bEL3wd76Wo6BgvdD+pn1OzI2pw0GJZO+rwObUxPPwumRNONn39I8m1NFkGTXXSrrhTw31rIm67QAKD/PGopZRfRY8a4r3b+N+4i4C0q7FAWNzlqA666xQCq1n8oGs45uzA5UzbmcvLF2QKKuqK58d1KF3hmrxBXMdRHX5/fdX5Ntb6h5juYnsmI26ry2fp5XRBseHxrwDnm+LUUPmmfYQsiBrZ33en4+5PPc7Ny5k0477TS69NJLxfVLL72UzjjjjOy9H//4x+nLX/4yve51r9tKEgcXHrlP5AepEYH4DeC6MtYEoEUYC1DXnp3s60xjwtl2ZX2jQU4B+p/KyS8sN2tcy9bCAi0iQ3LbTo2tKUMZz5pjSSLCbo8yIPX9y33MTcylYNsBsUzJhL7mW8Qi1rZUvHaIwFgBkDsQcZtqK1EGNOZi1CJxbBFraCqc6Zv3Y6wQCDjYeWZ30+U0av/Zm3cYsHRqFwORtap668XTtKV1S/Zt8tyocaT6CJRwPqTBtxbc7Tgkb+zm3SwVCBrrxAOtzgtZd6yh7dqUdXP8Y4ezs5Oo50M7GF+0WdBtILCJ7wm4elMpuaVK7ej3Ay2EisaHvOWGiOgtb3kLvepVr6LTTz+dnv/859N73vMeuummm+j1r389EbUupVtvvZXe9773ifve+9730nOf+1w69dRTV0G2W9bXavXb35GBAop9a4Lv4kDbAtu6lr6cWwpZD8yuDXfyY81L5PLgjNhZIBFBZKwZIHbHC/Zbr6tu3J6FQbjAjGUgDhx2crfUVLterVXGgEYECDu3FIuFUFpVJEdKRyN7P8ZVBLSzxtFEk2URaX4WANlnv8G01eSyLAL9TDucZvf98JiogiZKhJ+rt177dsrAodWE5f/gzhu9Fg092Bqqz59CWrc7P9axdQmDJEVTDtzUGtz0dfg7rKu+b/Qe15hbaqpiBqfThtSyC84Hve7snIbvHs5zWYe7nFrLa8Y9HlgvYlyOtYRvbChZZ70z7kROH+fda1616rJycPOKV7yC7r77bnr7299Ou3fvplNPPZUuueSSbvfT7t27Tc6bPXv20J/8yZ/Qu971rlWQnC180ba/h5j9gbaqkD5aMN6p4GgRp7w7bv8Fs6WXs0VoXsIt5WzTZBaGHWsVbcyCkH0t13NLIY06BxIr2t/RjIHLugPI2jog2LFIs9VktNCD41Da+ua0ofXZb2m9wDSm54qtQm3xtFUi7DbVkXD9M/PpscHLJRA/xe9QBXyjuYgz+xIsUnDL/0FLVmC9IqHjuaVS/5HkmRGw5VmXzG461U7OmuGtO/QOUXxPoiuV9J7XGB/SbadnWFdEdVV1//fBTQXbQQA5Z0njaTt0vBW0djngO7f1esNYKMm4zqx7PBqjlp9nOOygbIk2wBaCPaAgTBuqa80xtq+sHNwQEZ177rl07rnnwv9dfPHF5trRRx9NDzzwwBZTNV/h5lai/LkekcPPembgm7D5guGBukhj5PQhl1OJgeIkYEo7Y+Pa4WjHPDh2rebgpiCElVsOPY+cwO/jNaxVRvcVE145ptK/M30quNmlAAQc0sYi25g5CGjjnTLPNQO+ceZnRU8gxYC2uOC10Kg6lub0M7dVHx+h4Y29D6bGmrmsH8k+bN1i/rPPBRRH5pkGn8gtZS0uMeDU04gFrAYSRLEdXl5AMbLurNUVVVQRzdxNiEZuudHPejJtOuDDx+rPB7w1H1mZ0byKzOHOPc6Ugcqx2q3n3FJzz7N8Ox4/lcC2nEyUqH1utVGHtq8cFLulDqWiLTcyBb9mTpbJxIIP5f/SYujifVh7Xju4/7JbytcO+9+cCSYFzaL/vi++o8wdv7dNE5pRc+Zg38KA+irlH8m248QrpPtMO1DLtOCSiMd2lbVDFMCbys5BDBQcAgn68ukpb7HnVhmP5vUMKBi0i8RJUOddi7StY7u0FUCMo/aFIAYKVKxTsqpGdrrwwuPGSm4pfO6abE8DgL5ew+oky01F5ACXVGoWc6NpQjRGY6CEBYopYrm2I6kkbJiBDyylkiX/h2MInXZqrhjK/0WALtoJFQF7q3ZNjeBmyYWbW4ny5vohjJgLD1czZhM91dVlh7DcqMmIaAxokB5zrKs24C/V4VV4oj8Rl+SZx9eZIBAmY2Chaiwz4jEdXTueBjcgpiOiMUHhFQCWDfkuL0GjY91ZGzBWxEAjRwBYyyIIOJ/9zrpWAwHFHc0ZULAxS+LnafO87MwoDDklgtfxXFe5AOtUcuDKxkLYceD4mvzahDFzVHadWZcPWBtg7brrmfFJPff4nOLnPSES12quQKGgZyS8vXnlZ2NGVkQPKMgdspoPtb93ZKzDqcije0rzLMOHBswz7IKz1j+UU6ekwG13GcHNkssO45aKb/ekrBCqUxVfM2Z98U/RDmMqmhlF0DeyMHgLi/vDNd08wZYUVpZmTre2MOCdSBmNMROY3fU1yIwbsbYBk60GlkCjzgrGXP4kkycjAxQy8zOym66jJxO7k8paxmoWCTru+yoH14uxOw3ldjKi++BOKC/oOQP2cP/yf5E8NzjYX7ZjtjU7VkT0iKrKB5LQqgh2OZVivVCdNO/qivEPj8dUMuZGjGsaz+lTVb7ig55PeJ7r+aGUrBz/yCnGOG0FbEbmhTJ8x7o2Ea/i19C8R89jtNwcYmXNcUshM3vErJzKesb82AvufqKnuoa+tarLGowYqMmDEBXCwPTemoxnddQC4VlZO8BBGbeUY03BYMtfaBGmsiNnGQBuGBBjTETy7KBycGq7m0GOI2Jd8rdn53ZbpLIjAzgiVrueHt8K0tXhpngwfqIYSJJWK1lHg6SGMvTwvgIabGSnnOk/8w5zsUOR4xfQ+sXxZ1qpaEz/MD6vZi4fte4RzRuACaATvomkhdsLlk0BxWgcXTtrPbgx2dQdKwRa92vGvcXagTwvs5EgY3GxdSJKlh9bJue5N8+4a1H+D1mQS3lufNembHvVuW5GcLPkwmNaiCQo8fIZpIJcDF07a5jJEFnXQNP4MQvrtc8M0GKMmHVdrUol2OJ1eOBzp+kAnzBRq1WtOc+xAYw5x3hCbg8h9OT/BrkdWFIwZKkRv13B5Iwjt/NIu+CyoNFnoBqAUeC55szsnJ4SSEptQZqzWb+1Zhx4PwCQxdeCvG+zC5hlgfTF+VHWepHQgedYgbUwddYLjwtCz7q1nMzoUXNxCkA9Os3b097X6v5oFj3P+BpLqqLHG9cqrqzZZ2YSFhJ2fUsXmH1mQ6yqcp7DKsJC6c6PzJpC88y1UGbcUjHXpg4m93iu5WmrLCO4WXLxLDcRt1TEDdEAhoqTPjn0VVUXB4NyHOj7onkQSiZjBLbS75Igsu3ghd63m7OAlS0Mud0FaJum+86GxFSAOp7QIconxOueK2egBfcAiuWKZKfu6Mns3ur76sGeb93h8VdOnUxM1KaxYvrvJ8f00RpCMUjujpmIu0AIJt2XFRTzgC3kQtg0LloMHNbrquNnESGIrDQGIM8KX9M+AOqBixvXxxQolBRV3+JZU/SWcg4U4BlVlLOqltdCb3EJKlmG58t5FuNn9nlgPkTZazgn1+iWOuSLyXOTcR/A9PaFxZATlLkzkXg7nsaEJ6jyyQINAQEuopbxVI42xEtpgeoU62ahB8bR9bXWccu56EkMfD3DMFLJxdzY7L9WwDSF99jXwf2vZ2JTNI3I1453vwxnxF1fmXQGph0QQNvX8fPc9Ob68q4rvs0Zp5PPKyME3g/KYxJxtZYSfOK5WJ73aByRrNLp/7WjCKX7JM22jifgamYp8QBQVVVdnhQXlHDrEowfKQtv3Y6eM57i4YHv3HltXR0BgHA7ufQKdp7l+ipbgFKBFpjoPAPhAassB0Wem0OpeFvBEQNFZzv5bogys+RWo5w21GlMgTw78a3gmDlyP3ZJ6yfHfbIuQFI5kNEDW6mtbhyuNcNPeoU1c9zOzsw7iwAyzxRPlE/N3o0jxGQzNEJ/PKYnd7BrVyezWyqVtUAQdA4kactNri+RFsEA9shayARGc9dEYd7DcUB6CoIJvGdkGehdGnmlYn2tdl0+iEYEUlw+1MW4NAaU8DqTiq8zUIfxPGQJR7vHIK9a47xKzhkELlBuJE3TNKt49GvTKzmer+dZbjNKzhIdiamcZ7s4um+7y2i5WXLRxy94uROI5s1zkwFAbKHnLECexjQJbDfFbinH4sK1IfIBh2AGoJLcEVEGibnnmMuRkorQ6B3NPLfzp28nvhtm6G6pIVvaG8pohxkriAXfZctiAyx7qeR2OXV16gjNGSsejLlx+socRYKefeRoh/RziPsTgfH58twg7Rk9o/ZCLjEokdythDJz6zmM6+DBRyw3Og6mpEDlTm3v3Vv4fXDLzbxKXiqheK/A/Mjt7LTzLGeh5LF/8n/zgHpkvY/EjW13GcHNkot//EKEWZaBC9IidF9EJYaBTc1IMEV2iPhmbbnboWhhcNqpme8fuRkQjf4zClgYcsnm9G4pimlMkdN4kTZUtpTgnWpE3AqSoTED0oYcwBkB35Eg7Fx26L5OWRONrJedDNzgLf6yfiTIt6MxYtkbEOgZCUr33CfWIie3y3tafy7mhsjOYeSWQoCHaGa5mYULo/uIUv6afHBuTlnj87607q3ru6RA5Xi1b/nldPfteGsqsF4C7chcRaU5VFZw/Vw4pK6N4OaQKm5A8TTiyywLykgAGhHOOZHoy+0uCFkYzGTH5tVa+bHLwsoxjxfcUvO496IuQC+uQNDsWSrWh7x7oA15jLiiLCPuxjEoqNW3UqXiab2iLyqDxoYicUoZiwczB5aAVDYoO3cUCQCkMOW9Cyx7cFUCqDjeqQxcItadHECXOxDxGNK602NPdOd+e9dS27XDh1Lh/MOLweLWJUSPzujtgRK9acFb97yUQElD/vyQp6LPxxeJdMoBp69cvOYSs9SPlptDvOit4DsywjTFXUSyVUr/K+5b+J89psKC9CJbwXHQ84ymgvAUqdEDO2TcLamFgOLIOFJZEwLWYU4Za5u2DOQ0uJ05l2RG6y7t9KmrSlnEcP+xbe++WTs9V26uX4QRiwDajNAbQnM5niVDz3ou5iaqvZfWa+xUcAt+0c4sKtQBW3QBKOjWbyEGan2NA4fyTqiU5ybCh/iajuyo8t511nLDQOMO7uJx2vFycvG25VqAZMeSZ0bc2kMC8JuMkpVZCzBZZCGfEgLjRGhn2ghuDqmiLTe5HUwb4FBM/xyaSKBl/zpd4Z5hWBHXBN+SWkr9LRhGQBB42of2h5udJQBwuJaBQJCtoKegmc8byJc7kLR0XgzfhdZQwNoHhGcq2aMMjNab0URDjNiP77Ht5Jh12Wo1JA8REUgAF7amwKZVzI3TP3MXlLfhlxUPP8Fm4d07gfwCOADLhQ5o3lSxPIkmVOqKssHKRDIux7OArbGGckkNi7uuSm4pkAU+ooj61uFyHqRQXF1dXlO5lBR2YwOy4Np2I2dtebvJtquM4GbJRR+/kAMlXdZcZk0omjoDWi9R3tft+6ijB0VaMBFhGB7gKGYhrbnJ2ArqTWVmzzKDAOPJgRJOU6rTqOdh2wHWpoyloPhcCyZ0S6MTqF0r0GiEpX6uOUY8BLiUQQGFgEM5Ro0za3VAtFirobUw7TPnprYjcWTevJ/XspeKdj2jdjxQQKRisqaSbqJ8Tix0TcejEeV3S3UW5MxuqWT5bQjPvRw/mzQ8C3pBgVJrQXdl88rE4s8iaQD8uJwh8zwQpA/mQiw0wTYcAUWjW+oQK/rgzD6Yy04sbcbNWRM4cCkJbqJc0HFmd8HUWpdyu6VKfuw2NqT97gk9qzHZdsSWcqBRD9meHTlzaFhirJ6eneu1X0dr5hNg6lWWkqbBeW5KJnQ7Dj8Ys8q4txKwzbnpTF+RBH0gBqmrM8Aqk7NI9eulH9cu5/0QWa0fAWSjjDjvh4+Dml7LzYHfyPELZt4DgKyBdtYyANYLn8O5nUjoWhffUvm5tFLhbimPV1XMuhOxuBhFbMqefeYoFN0O3vYOFKhAvFXRPd741vpcHqZU+I5IrRz17QzY2DAtpyVo7yt7HUa31CFW1o3lhjEQZ2KtZ5B1KjkTeirI111XcrLXda+NwZ1QA8zj3bZ3R8hw5tgQZhocAOUZj+0/FRs0mDMHBwBQQPNCLjkNbnau+0wulzNFxpTYvsMBxWys8LnqLfaqzobO2ZKZn9zFUaQnU2eY1hsNUm/r7FpfE3XEbqmABtuB6EhQOtC6PXCFxqGtGTj/iK2T1kLJDcPHwQEyn8M85gZZgr08NxWbn9k8N4xuWKdWMTdIgcrF3DDAXnLrcysRFuYKNGYU0R3subp5biJW5pBSYQGynmfpnaI5FEn3kIu3ygG50XJziBWbobicpTYURBkw9fKt4Amk1FUlQM+6YAZ+0GK6B1kYeoaRBxNitwOwDKQ6ialQ049Na5Ads0QmY5M1uAxKGipbGCIuFq5Re8KLMxVvay1y93mWCW1CjzA+JLx4OzjPjWLoWUFZ3j0Wyf0SA6jDzPVoThFphaEcLKy190XBbzYHVsAtlQXIIRdgvxaQYFyrawMcOHtzD7zM8Ji+7bxVKNXh87NRa4iIaK0i1o7Npm7P0WJrgb1/TnMuYeFaIIRgPbBpIeROCrjQRX4psMZ5O0g5wa68fB0iFoOUAXvj2VKHWFmvPQbma+8IJOj4AJ4c0N99gSw3lWDide1rKJzGtGi0RsuZ1ZD07Xmzcuq/gYxHBBRntKqIYEQuFvfIjIyLBSWt8ywDEDQGnn3OncRjkIaYx8VzrVl6ezBW/VzzlopAnYjVDABLk15hCNia4jlFhAWaPDZBtonnWVl4JQHnui1R8szMtvNuCzmoowFATsCiwxv5HF6riMXF9O26B16m58Ny2ESChVHAKlELWmTW4Pa6nMMWgKXSNPa9cquhsFJx91ZEmGfm+bAdf/ad9XXi64X3lXWPF+YZn6/ePCOylhvEc3PZl7ejjOBmyUW7pSIp1rtgTLbwvC3lRDG3VFrUVSVpWq8rSvgrF5DY5+DAOyJ4f9yaYoRnIfC1VgwMaZA5QNbSNEsnzwQjHz8vaEu9fdbxnEI5poJO7vaeK9ot5YGSuqpSbrOs9QBl6bUxFX473TlaABDmdgWWff/9s/feD9ewTZC+OB4DDh1aJXasVaI/JNAiB4nGEihaC6E3Pzj4TWNFW4/1s88drhnJBo0y4EqBX5udlZXIK6N4A6ujAZAGlmtVxHWlMwv377GrU7N2Mrl4+rhGMs+aaAa2ZiRqKx4R3jnobySwiocXzJ5VsgLZh0V8nmOhREkv/XlmlayQmw7wj9EtdYgVw/SBOTQVm0yrXzCaGaDsw6orsTi45Ybfy3Ok5NwO3sTmv7lJMhXBMCq9FdzS2caP8Dp5rSrn/62RQKv1c7Rgy3cXBHeaAGAn27HAJXcOD9IOJUNnoJEIPlcimdujAYJB5sspW274/NSAIxJgLUEBBvGSoTt1AoGWyA1RV5WYDyiItOufWVM6y4DK7MsFrhVe/bNHVpGqkrxB9z9RwBK5gyeKD6B5FtmkIKxLRjlJY+/78iwlG6KOBBxa6UOuKz2n9PtpwLzKZVzn10TCQgACpHsro0CBeCs9z9H5aAbcFdxkvK9pYJ5xAJRvp72W5pVWYHiA83rHq+QuQXFfBkSPbqlDrGhhKiLVFUJHZv+kNFj0za0yaaFZM7vOHbFWV4JpIKAgAwuVhWGiae7BRZrYnKnscHdb2GfS1elSrHNtHfvDuQlbax/S/yvraJqlJogFLNfeLXDgNM+E1w4OImV8jW5HP1cinEujE/DcklXhmBsPBHDmaEEjdWPV7x6ePDxN4/eAi6/R8joTh+nDWBnNrGu7pmwKBqsZ56yYKGtvDybqWR0rKD3rHzrdnI+Dr0OkvcMcQ6mOWncCbOl51mBLBa/D1wKfwzygmCtLlQYuijfw+Znu08+HB/BOnDp6nqeirZia5+l5x9tunLXgJQPUvLoG88qz3OTmBwK/O0IWl8gad9zjgL9r8IfiA3srjVWwkWLMd0WusozgZsnFxAcAt9R6J5S18PBN+sgqg5mBZDRVJWlCPnO0s2OtVgx0LQk8u/C5piOAixMrs66tELNb3C2pVc9UeF9dXBCwgE09hgGsIjuNFQIJFKtVJpqR1rte19Di4T1Xol6gIcGsAaGIuUlC2BNehIGC3o0yUTTp3xzIec81ZxHrd9dZN0xHE3RL5Rh66j+nGfeC2YJmzcDtu9dB4Eig7Kjx/BAatQNQuVs3jV8DBy4ENZiQc8iml+iemwakIrvtjEYnJisHXNaVkoEsYgbcAEVM8zxkZSYqW270OiDiVt2yC30CeBU6s8y33Ni5h6xSRHlrKOrLm2f5gGLgVnbmGbdW71AgGoU9rLHnqrfdj5abQ6xYS4FlIFoTRPEblqH3vzWTTQVtr9QMfU340TPMWgs4ZcZs2wKMRwgPwsyJ1RFBg1Os6azXNQxiTBp8l48FuEaygjEx3kgshCsY/HgWGW+U6NHAlmlDOhkhkQtK5DOzddp61nW2Q70fGe8kx9pbD7jp2WHEQjO2fbV1fCtEKijgOx+rgulB5vqcFdNubWVarnpnuI4D9ohYwLmy3AAhqDVqmZ+lHweRFTBEvbDSgom31dOQf9YoQR53Oek5zLeCU3efTexHhPPc6GcohWnPdyzQn/WlDwQVY0U8zgNJzDqt+B5fU8htWlfUpdrw+iIieWBtsoa6c4grxp5SwaxvLrgh4HKyskTP84l497M6OVDUuXZHcHNIFWu58Zllf08vGJCWx9shssI8FXReS11JxtIG4LXfTdbNqWWglsn2/aHgWBsbMqOZMwxex8m1IrRcBpImoB2jRXChZyxggKG7rpGc5caaucVOk1pq5iUrQOqP988DZmWsjAwAnAAaW4tdqtM/j12O8JqC+dmDrVkdtqMKaeK6HcvQA8+eWYliGi0GQCjQslLxZ8h6gABy76ZLc6p/9xPwftq2OSAkQyN3teJgYStMPdcVf87ancXdyN47S2MhQnNYCTgISrQQlBbB1JbgQxA4ybQVyLJGhABY2XKDrKG7lCVNzwXeVvfuQcC5AUnAmuIpq2IOO3X4ifDePPPWOL8nMs/4+DUA4u8VuXE1/xgDig+x4gdI+iZ0lMPGO8ahbQsvhrpi57UwU/y6WHx1RvOyjDCnDWmfLL8v9V0B5mQEzOy7tFR4IKlh1yXdUDtz3SdlC0OTFdRc85oxlR1qXMy6ogUl8mPze/v78lqmF5zLGZE3VuveSoyvn7Pytw9KBAP1LIvi/RCsE7K+Adeit6Y4zXVlXaLatdmb1Flbs/7RCdNe0DNybWrLDc8OrcdhgsvZXOhcCsAqorcsC0unF5c0ZUHPJuaGxPPhIMCbw0jDr2vrHjfAiVk9iJI7mkSddhx4nWkrsxgrcGVK67AFUpWiJ/XXtoOV1ZrVl0A/146lh98Tq9OPS4MbDqQaZ56hNCJ6ntUMuOWydXfrZXRLHVolEnPjTXQi30eNYm6Q8NC7FKpKmuLF1kmt5QngIOtomlua+rHp8aY20l2cOXHNq2KMkFsqpIvHutI4Tb0QTlq/zwzWEHARGpw+68ppBwjqXYpZrkHgMOS5Ou4kJmCkdUdqtMTqlIIo5VjVHAZjjYB4DwA1GVDAt+x6VhkUQ+DGRFHP0LWLdh0I2P79TEU9opi2asbBxurNaXRMwCZyWSu3tnYNEEktm4+L39f9RgBMK0LQNZGfw8i6Y6wybA7z56rrlNzaKEPxGpBqnWXCfR/YklTXcmzIDePHsWXcryy2zMuDhHbl5WL/oNW7wkBfzzP+3DVoRTvlzFpgChwPYF5lGcHNkovVRPtJrLNldvcA5oRdTrM63bZErTHZYOG60hpTzfI54InOaULBZD1Nsi8iCRSQyViP11ghgGWAb9NEAKxvl/uWLeMn4q4RzpwkPRUTOjoIvOsLgCQv5kburEjWJv+5QhePF89D1l1BJF15eZBkhbCmqf9tg+JT6QQcY8QWuDBQUoozyJr0rYDxdqMYy41eC2q9aBcU7w8e81HYPcbXvRSCPDbDdxfkdqGhWBWzpjOWG3Qwownkr+TzqIA7Sc8XPq82XHBjQRJyS6VfXIEqpYngLi9er23HXwvIpa/bKblfzU5GZ54ja6gfr5mJ/WMgPvE8G5/Xfp9MbcZmFBOlrwm3oeMCFPNzDCg+NIvVjqwvM+f7TgvUBodaAZ/bXSACirkbCNTR1oSWbq2dWZpRFlIOFKqKJQz0AgKFgMXauohf4SZjRwjnduwg5uTtYkFxF7YvbA4WTAW4anLbVjlw8AGYpdHdqeZoq3yrb9YqAwPOfWaNrG+8Ha6J6p1qSJi7LtoMiEU5ZCpguenXlIw9EBZCvcMNzDMvpsIDDjxIXrxDs5uub8cKJjt2lCtJ02SeEWHrAQd/ecuNdUt1c5/t2tRKjXah6zUtznsCKSDaviqjZPFEg7y/9DxQnpv1Ne7e6pMRareUtKYgephryuFn/J7cukMAfeg849Yw7pby5lk7fnkNPVebAwslgB3BzSFVvIBiImxG1r83wcIjUltHXcBBzHLTmw1lnAEZht5PdL4TqjbtSHqI5QjhVhmpncI8N65bKqJVTc21ru/EMFjgK3+2nHlyAZuLQ/HdhMjdiJkKtzCYxFi11TKh28NJxCgAhwFpdhzebpjccQfI4pLLT4MsSe3zYQKmwKz59vVcLIL283c0i0DtXjCbrLQKNKNYFWMhBJYj/8BcDzjgd2gCzgGI7ndC2bVp4uiANVaPi797Ly5ok1lFLCBESlb7PXXfWmW0O2k21s7tIS033oaE0snlPKhXj10oUI7Fhbthqqr8zGwMEM364hYXDyRldgUCmr155rlxeZZpZCFESpbeaNLF3FRWvuwA4+CgbJVlBDdLLt6WVCLfjIsi1VFcjrHcBHzdVSUZP9LGkAnbmL4VzSgNe9uXZk6yDpFc6JYZeBYGEjQik3ExPwwX5k5cjq1TYCpKMKXr3FyOgAPaWZJr27ql+DNrv+9Ugjv94i4eHlOh54sGYHl6fIHvM+te6/VAAdJo3V0kDd5NpseQgHUL9KXwTpq53mUkd+X5wNbVqNNYqQeEZidSMkCxcXixEBPgNkTxEumZoXHkhHAHWvk8W7NuiAqAgLwFuReMereU5md1JcfSKj6WN3nKiBeYzJ+HH9dXjhPiYxVu7QBozQfFe8rqjGYqx7rxOjvX+nnGAUk45kaB1k0APs08A3MYnGKxrWUEN0suuXgaL7NwJOaGC91cRk8bc6O2YNbWj94BGXBuVCTDqLuVE/jniaRAkxYGG5TWj6sMCviJvYjxiBgTFsSpAxRR7heTJG7N0lxVvZVMAhBuSZKm3tYChhkxP29qp2P65hYou82ZjwODPT1fdB1OT8QNk4uVQVtSPfeWSI6oTfoIbDnttGPr3QzWNSLn1Q7F9IlKLkmsjMAMxQtYbnJmfw5UdP/+uqPOrcz75wBsnQGwCdv1pAGHjQ+0dfA2bxLj4DEdelxcWfNiXLgQ9hQf6RLFSo3c+izbicTc5MBEGgM/KqaPy5Fj53zRddGCIP21uqdzfa2W84wBfSKsvJps6sAlqfvnQKY/wmS03BxSxTt+gShjuVmzEyuXw8a17lRYi/GCKHXMzQbXVvXk11aiqrecpEm8BoQHCtLTpmcuhKH7hLfjmLDbejN6PMbDmK4XyOcFAru5Vog/x76/Nqaif4YmXiLHiMFuAw3SiD17lOeGMyIvvghpq7odPtbc7jEOOEqxMtn4ngBwgfEBGaWCuxmMla5OdXDiMn7N0uhvRUexCFaY9nW6Na3TG7BtvN7uxpz1z9vWzOedEPiOa3NDuINJPCMcUDyrwwKRdTyN5g3cbZzqIKWG10GJGDl46GhCoIRZHxHQRe1wCyWae9qt3YB3L+P6HPe4AkneNncEtuq658N6bnR9dYk65TwjsnKKn93nuelQrrMxoPgQK/x8JyI5YT1QsgMx4loKPQRcUCAf0oa8AF7NQNGJ32nLnwZtddW7PbLMSY+rUr53sdBzeV30uKw/HG6dNMwy9ZWL7+F1MFNBMTf8Wde1ZMJmq282aNEyBz/PTZSBOu0k4Q5ckrweUSzhGI+V8eJgIjtEchYgGYCPrTuoTl2p+LM1Kxi1ZS1PYzkWomFgzw2SZy7BXLCwzmfEE+tZN4y2EMo4FP5buC29mBu2fk3MnlF8hiUTnTDgVLbu2LipqtSOAPrYfSMVsam51tdLz4fNz8yGBBRbxnm5cJN5ihiPIcy6x3saeiVLyhF9PloHUAEgRckZ1VJkSjC/JufnqsoIbragcCAg01p76JsBoIYzA+wj33TcWxxZy5gbrVmQqIOCKJHpm5eKMQwhPFTQoN6B0JqeNc3td6HpOFvKNwQDEyTBIxEE46m5tspMvc7WUpFDxgv2Y4yHuz00U9HCilt7vJ0ducRlnIHq8ac6FRvrIMuNY30UloqsG6a95h14yQV+Pl9OolkpA3BN+XV4Qku9W6qLKXGYPr+mf+djbmZziPip4JIvQNeik+eGyJ4bxYGDcUspjbquyHX5uJY9EHNTV2QS66EkfpWanzzAnkjyBm4p8EAJj/kpWYC0tWKtllvK+3WPgZRQxNSD7SyULE2EdzSKB37rGsfBeDzP27RAxEF0IwCgcI9z5VkdlswteyWgz99H37+0NBL1vHIMKD4EC198HOh4Lh4Ul4O0mKqrg7VeYSlxAAcXaBrFd32hiR4IcG4Zn2Y8M5obz7pDAkxAf3iNfe8eKGh9y7YdrnU2hIWwx/TNgXVrvB2uVdbm+Uga8xo1EQabpd1jqA5nsr12qAUcALZAE2+fhw9KUM4WL1ll0/j5PyInKq/DNZWLuennjHZBaoVBJ+yrKiu8cb4ePT+sC46vaf4O0S4WlBZfB/B6vKLt3wp8HaybuIXnPtEAXdPtbmyoLI9BoMSuabRbSoJNq/RZa7XmDXpreGel0mMNgEYMbDHN3u5Ckf6CxWRJF7p2G5Lpi6ifZ1xh4DxfW58mEzzPZHykynMjDk3Fa1qe+Sff2arKCG62oPDFzrUDnRo9lTWgibZMVQGFWjIMozEJZsC2giuGobVTHJgs6+AdESTq6ODlaKZSFFhZjLkBJuPSdmQvnkafYyUZz6xt1+3QCOGVmA8SDPw+ztB1PZhrxQElMseQY9bOaoc0a8fGW+Gx2jnDAatnfeNjkHEGHgDyY26Q5cbuUuQMvWfOQjCquUdkA3F5/Ih+HjmwtwPMxZqt6XUDolPb8t2jzQbIcuOtBRGAb9ZC6p8FFO/grpraAHS+XnO8oVLzilsT+v7tOHRckAZAOR4jgRynp7c2Tac4zw3qS4OtRHf/zNprei1U7Lkil6QALt6uTbbGcxZCOc8SDT4f0laZ3rXZ8z3PdVWx56ifB9+MMp4tdQgXvvjWgQZptEyErKtKgB4urPwgXxvxz3fwEGlt3Tmxl7czwTRXgMkZq0zdLwYe1GnN0+13N/iytloFCsTtU6wzxuP6w7E25B8m6WvvDRdeTsxNd58yB+vnQWSDQVsa8Tg2AVOx48CxKd7BhGuKg6GT7fUzg9auzBZuL56GxzK5OYbY76li1v0Y2Jpq+muegNX9Z3eIAGCbO56jmx+1jMnqglxFvIIU1Lkkj5vMKuJZGCRw6P/vWY68HUSpcOHt8QZ/txSew7k8N33MT59nh/NFHhck8txUen7O6jBXiatAZd59aeegzR01o9O17hB0k9k1RaYvTg8HqBxIaiXQC0VALrju0NBcbjFgueHrfJVlBDdbUPgizm2xS6VdRO13dws3AC428JMlzXN2iHAk75mVuVnXo1kClz4hnZfLQgQ/Ku25M4+To+kwrdPbdcVpdJk183W3rpFUh+WFYMygaVgQp9tXv4htzA0QTECj9nYgcOawQ48DZIfWZm0+VuTiQXOhrVN+rtaE3r/Dcm6P3E4o9uw7oIvpIbIHXqI63Hqwg5nrK2XNSNeJVMC3fvcooNipQ8w1wQOaRbwPOukexNz0NFoA5q6FjMVUroX2uz44E+2E0i7RmFVXgivPrW2tuiTqaIs2qqNBCaKHyF8L3N2n54c8K7C95iUVzG0X5wCoCzp2khxyvujNM24Bqqs+Kz23ELbPSB0Qm9m12c2zTAxSb6WxeczGPDeHYPGyoHqWG2QFqWttBbHBuTYAr5znRpiVO/Oj1Qb6XTQ9cOHzumagJJfLIv2SGgJrh/nMPQ0FaWclUNALcw0QAeMJaEwmkRvb1cOTxCVGt1ZbbbodiwzAa5k+fz89ANtg3CFySroXl8MBh7bcIPeWZ6XyXEU81ku+Qw8U+FlZZcyNY4oHOxBtxuT+N4/74IGWRGQYus75xBWPbrwC7KWxeZY9rlHrWAjq6uj+exeUZdE7ujq5WIg0z5hLwcwzOz/kwZk4xqLEzxBvqCq72UCDCQ0kkQusVaAwjV47VYWVAdeKyV15zruXIB7T7Lmu2v+zOiD+TFqAeGCyM89YgDO3UOp32Ls/LbAsWWW0DOD9H4yWm/V5b7z++uvpL//yL+mYY46hZzzjGXTqqafSUUcdtUzavm1LWgA814DMZWEZhgYlmhnw2AzhE64qmhBfjBoEyAWBsv1in7kFE3VViZ0nlaIHW5s0I5YMm2tHTZPLczOjOadFAMsAH3vFxsUZhneqr8fAeF8ykE/GVOQsNyjja/c8AODwLFlyu7gGaXkNEr0fTmP3G2zPNmALPA8TlyOeq9MXAFJrszmLTPye9ZH/ltuI627s7TUMkPM5ZHrg0u+YkXVQLETbfy90cgHnHq/gNEo3jKzTz7NeObHBusRonIEbbrkBwowLQdcSze6bsmfPx4t3Oak6NTkbJByg7wBStEOUCOWV0UCKsjwG7RbjfXGLi4yZ0wodULKMBaj97s0zrjC01q0eROsxtNe1kuXHlkVctCg+8Ns25ubss8+mAwcO0Le+9S1697vfTS984QvpaU972jJp+7Yt3K9OREaAoIR4dsu0tdwg4OIxrH53krXclIKFuZbXBZdVcqHzOtKsHAAlbNahnVBEyPoFFpoObgOWgdwWauSqsbEINHtGfsyN0My73VI1Ziog5sbkH1Hgk0iCNAGGJ1NYpxZjZTtEAgeSegLfcydxYeJZ3zTYcnddQVAggT7cgQjyMOk6dSUDLRPtvKDcHrmYG/dsK/DMtFsK4JZ+t5ZzbhOnMXdQpI7L0S4Wz8IgU/dbtxRXEPzjFxBvQGfc0ax/zhvyvKquSMTcYPeWHSvaFbjLCfL1nlnqL9GM3FLSrV1WKlplYNaO2RDQP58+T5Y/zybM/SlBNJnS7wpkc8hRajzLPO8fWQhXDW7mttwcf/zx9La3vU1cm0wmCxN0KJT0wpNw64S3F4AHBBqygmgtZs0wAzuxWstNX0fGWXhgC++E4otEAAUx+Vk7SvtonwVgYMBkrJOJ6eeDGPoO4QpI1xQjBCnnPQDkWSESTbqvSjAVu42U3+cFPyLm0Gpici4gBrJDzYX0i4MJY6UClgovUZcAhJk4A5SqoFbzpZTET+8yWqsrooms09LdzmHvoFmuYQvwuZbWpgYuwJ2jQTR/9wXLkdaodwi3lA9+03PGMTcAIBc06rpS7k9mFeE5nwSvWLM0ciDrbcNvQYGso13o6IRpbY1FSfzMERpgLeh2kNufCMXcpLXgb1rAOwc5PRK0oaD4NpicTDtunpsp0bQqzDPCGxuSS7+q+jlFJAFiusc7j6vfCo7Wi65TCQC4yjK35ebFL34x/e7v/q64tsZQ/0O5cNcEkdVikBkXLVChfdRktBjj0mASjTOMXHbblh7NnCzNOX+4a7lx6+h2SIyLyD8TqrNs1Zahi4yriamIdnrGLHe6SIaK3Tk+U0F5btLxC1p+IbeHH1vlaLQA7LU0YuDCd495DDRnekZWCC+OywOE3HLTBmpbmtt260Ryx4w10Ecup1xwvchzoxQPVxNlxzH4z4Of+uyMgz17br3wwI21oiIBa10Kug7Kp2TWXc3eR9OPLaf1o3VvMxRzyy/OxA3Ppqvlu/X4hxe70weByznMFQ1xurij1Hi7P9t6fYyLpxzxVBIo9o/zM9caaixAs3bcTOk6tkvKHg/8Ipp0254LnagHUYh/rNpyMze4ueKKK+htb3sbPfnJT6af+ImfoPPOO4/+6q/+apm0fdsWvg2PiNji80zoAW2dof0NgJKJtLBydjBlmDX/3VmbmJtMWxjIMAPtArNantaq1hhI4YLaT43O3QWC7OJuHM54RMyNEPjYxeKmPZ9qIdxr5ukauo8HPwqAWlk3Xa3ngqOJrrkMNLfLqf0uGFiNafa0THkCuQOkuOXGoaf93b8fEVvmbD3PB+nT7BmxnE9r+v2I2+AWWe8devNM1mEadc1jIWpjEWrv83lDN35kuXHemede87bvS4COLDf4ueo66UrEhe49a3S0wlpVWQCUxpp1wUl6iHwFKvvuwe4k//gW3z2eWvXc4/aomPw80wf4du8wySIHIHd01/5aiOzK47GYa+raqkrYLXXvvffSkUce2f2+5JJLiIho7969dM0119A111xDf/M3f0MvfelLl0/lt1lZcwTcprNtFTED7XLytGwvd4TQdJx4jVS05iVMxg6YgMHCtbLKMOuBzOviaUz28DVdJ39wJhfmth3NeJCvW1i2ptxSgWNuGiMYqln9qntOKeCbqH8X3i6FioEruR1ZgolU+LEBXqAlN4/vNO4+O6c87cyzuLi70ExcTg8KkHuL96VpQgB90mSC9Dth1e9m0zEvRNbMnkBUjqHLd5/GodZ0bZ+HiIUAoIUIWUHSs+VzSK5N5KK1FkIyLmP+PqasrW7u1rUFLsAiFkkCyp+97j9yJpR7/AIDCvIYB0mPdoERZdZCyN3XX7NnuiUA5O2WkmsBurdqCT6bWUCxnmf9ziQSfKgHNXyecyuvN89s27mElhZoM7fUt0vMzZlnnkkf/vCH6fjjjxfXjzrqKDrjjDPojDPOWDpx364lMdp+YrXX/QDeftKkAC9tcYFbFfUirm38ijbpa993ew1pi5LmuqaiNmT6QhqcorkSjLC/XjoDqa6sYOLbiPtrmPHwWAx7bEH7Xbi3vN1SamzaMmCYAWD6kcBx+Q6Zpa/BjNgFEw7QFdZALSgZcIEup1pbAVJfcv52z5W58nI5bLjbJYHLquqtMhPyE8lJy0DvrkiCaM3VaK0w1e8Q5bnZYQA7E3ACXDHLDQA35jTramaxZeGMKIDX1ajdbdYErW1rTOvnu3oEPem5ese31IB/VMhlLdup1DjQEQ11bZ81Ok9PWoCsS5+obMXE7j75XInsLqd0T+44Ge5ymoA6FiTZecbp4bms+HrhSha6T/Ynx4rzF0nAonfucb7zbZPn5vTTT6fnPve5dP3114vrV199Nb3kJS9ZOmHfziW98M7vqRimiQ+omGmVMWJvoU/ZIvZypLi7FBBCh5PYMvnybimdVdlmQ9YmY8nA8DlJ0g2REcLJR+xk9uVCWAQEOkBqypi+l+dG7+rh8QrpWipVZeeCBmmeedxa8drvXqp4bg3kQniXydhswVYuf9AEaJnyqAc/5kYAS9ci1rcrAbFk0lpYWesjwTxMmtnHgD5eL9z6J6wSVS/c+bPn/aNt1no9p3usVQZZSmRb5mwpFaMmhKeyLvVxQbHjF7TVDFl+TSBwTdTnemHzXIASbEEe7N4S/ANbL7glLXL8gptfivE8rlSsOxZk1xpa4/eTPxW8Xy872Dts+yR4X0+TBdYItHogSSprNKNptZabMLi58MIL6Sd/8ifp+77v++iTn/wk3XDDDfTyl7+cTj/9dNq1a9dCRJx//vl08skn02GHHUannXYaXXbZZdn6+/fvp7e97W30xCc+kXbt2kVPetKT6KKLLlqIhmWWHUp714vG7i7AQMFLVuWBCaT1V5XSdNZ802JPj017nhPC3o4MFKRnrRA9zRuMYdgty/0iTv3rmIVczgUisqZ4YGGwVggHkDKmwncp8N0w6VrXv9BWuUbN61itV8cZCHdf4Ln6W+PRvANWAGGpINsOexdeX26ApE7iB7Z511Uujm1q+urH336finbyMVFaUGMQ3QtllE+Jrw0vngWdjYa0ZwSuDI2grSEZijmNFaMRxdxIpSa52dWzh6CZTP8WlBDgZ+13Hk9jgYLlVe6mBe66EXyxNgoUD0pPBfEYeV4ZqYSWnnW4nx/98QvYkhRVslBus1Q9ApCHKL2p7FAgmgP0VQcUD9oK/nM/93O0c+dO+qEf+iGaTCb04he/mD772c/Ss5/97LkJ+MAHPkBvetOb6Pzzz6cXvOAF9O53v5vOPvtsuvbaa+kJT3gCvOflL3853XHHHfTe976XnvzkJ9Odd95Jm5ubc9Ow7NIxzm5itZ/uKbpiIjvMwAEK+qA5vQUzYrlBWi9fWOk+Lz+NFweDdzsgC9CMZscfjoKgOZPl9Yh0Yjvp60638K2TbsyN484h4rthuGCwMR3SlSctHPpaaqNn1tjMLnaaTLBFzAqv9rt8rrUVprUVsPy8J/TMpBWA50zxAyQ7hq5BI0jQx+dVZ7lR7tfcydS8nT4mKrm5NJADTN8B0Q2zQO1wnj1/Hnp+ICBjLCXAwmO38VoA1ikMIr2+BA5yx07fH1fOULv8PRKhZ0/9rk3H0ordrxWwRMs1XWlQ4lpuJD1dXw5IQoeooueq41CIiHYatxR/rkipKLtx19jYp01DVbLuaMWj0yok3aked+fKcWh+ClxwaE3VErCYo0CY4vVtE1C8e/duOu+88+jCCy+k7/zO76Trr7+eXvnKVy4EbIiI3vGOd9DrXvc6Ouecc4iI6J3vfCd95CMfoQsuuIDOO+88U//DH/4wffzjH6cbb7yRHvnIRxIR0UknnbQQDcsufdDgjBEbzcsy0MQNNjOLD5nZjUAzMTc2oNgIL6j12smvGY8FWyhOSNapKut7Rwm2vFN0+Vg9TSOXhbRjPN5WTtGuv6un93UrpsJiKtI1STOZdgxwmX2XKedLQNeP0ZKuIs6IgTBVc4pIxhchgcZ3S8mEY1qYsjpu0HHfL7L2aYtYF9SacdXI3Xy95YS3o8eaCgTRafurt9NFPHt9KjgDDqavGIhHLgVexbPg2mDd9ntDOMs2B6So7VTQs++tZrNrtXVZd0e88OMxHJDox6h5KTJ0O5Z3mjg2BWIrAGy1G4YIxPUJK2aqg9em5zLWlseqtn1xesSuvApYOrUSAeZQaZ7l5iICsasOKA67pb7jO76DLrvsMvqjP/ojuuqqq+hP//RP6dxzz6Vf/uVfnrvzAwcO0FVXXUVnnXWWuH7WWWfR5ZdfDu/5i7/4Czr99NPpV37lV+hxj3scPfWpT6Wf+qmfogcffNDtZ//+/bR3717xt5Wl0zIdBoonVvvdjaGobWCy1Yb6djZYno7SVnBsfiRzjQtC6VdncUICKNidFdwnm+jhQq+nqWbfbRyI3pmV2mrHHnFLYWuGNQdjywAPXubCK6WvT0GGUoO047BbwXtGtOnuIkFn92jrDrdSZdxJ5j37FjE+VmuV6YEUdkuRZOgzoZc7pVvukJGxA1p4m91KYO6t1WQta85YPZr4vfI8Lgc4GPDb8wYT2+Ssu3JckBbmFvyZOeSshbrqz0dzk/g5Ah+1vSGCwvn8tPF4LcDA88F3v9awjuuWYrxK5MsBwDIn8HP5pUrByzzdhLc2PWuoz4f6dddaCGVAcYjnG6Wm7Lqyu6X6d/ht45b6nd/5HXrlK1/Z/X7xi19MH/3oR+mlL30pff3rX6fzzz9/cOd33XUXTSYTOu6448T14447jm6//XZ4z4033kif/OQn6bDDDqM/+7M/o7vuuovOPfdcuueee9y4m/POO49+4Rd+YTB985aiXz9kQvdzm3h5brjwzGX09AJGU6kqpNHLep5ZWQMpBMj4IsLbzrWJ1gNb8ho8odZxjXCNSSe2k/ESqR1P4Ms8Nz/2PY+nr911P/3L73lcd62n2c4F/Q757hwvyzQHsZFdVzpgdMdaRRuThtCOHW2hI2J+/Snh5IgCEPrHL/C++Bb7qmqfod6ZhOaV3oXm5Y7CMTdVv1vKY/qZbN28bU6fHivftWjy3Biho1yUGcUH/SayVhmeq4jnh/GsiDqL8mvOOIku+afd9L0nPZJu/uYDqq+yW5vP83yeG73u/XQGfLu4dSfJ52HAXm2VgbVatrO+BhSojDD3eAxKyKrrSJdgbAcigTXF6TEbG4yCrd+ZAi61fY7I3djU+N0jEL1qt1TYcsOBTSrPfvaz6fLLL6ePfexjCxGhJ1XTNOZaKtPplKqqove///30nOc8h17ykpfQO97xDrr44otd681b3/pW2rNnT/d38803L0RvqRSzQ5qEY1ZYaWa0VqN4mljgXJrIVeVN4jJC1/e1mrHqS1lT5G4HrjF5gtoBbUB7hkJYZdQkyjOMbicDu46CoHnb+rcI5KsretrxR9K7X3U6Pf34o7pr3TggI5bzX4BGpol5mZ9z6e05SGqYAO0tiwhs+ZbGRj2z/v/KKtNYmvT8EVlpEz1q3iFNnLfHx48z+7bXuDLw5Mc8nOqK6KnHPbxrG421b8cCjqL27oBoLnT0uXPpOwK/OpAf1bFrU9LYAiA2zqpfwHx+rFUV/fjpJ9LvvPY59LBd6yDmBuQGyrgEhZtdK2Kz79OM4lMhd73I+WTfT8sreV9YGbBZtkUzhr9WDLSJfDk6WHj23YvL4c/H27QQif3j9DSk89zMQHwng+TYIm4ptNHEtqNibqqDxy0199lSqZx00kn0qU99aq57jz32WFpbWzNWmjvvvNNYc1I54YQT6HGPexwdffTR3bVTTjmFmqahW265hZ7ylKeYe3bt2rXwjq4hJU2KhHw1TkOmb5uKPJf0qq+jtaFc8izXFB8QcJrJe4xHp1jvtWfq6tSmjm3HnPuiTeFgMZbcBZoZaEa3MWkympez8BvJVHTh1ypAs35m/NlzU6+Op+HAJdUpBXOn/nbUNe2jKQxWxebpnsmWDwJUQKpqkxhqi6HNnNu085f1OwEuDa0wyF1nlQB7KP/JU447kj77th+kRxyxU7STCo4fUc8jJU5z55ly+WSSCKaxJ/qwFcL/3V7zQbR/3hIX+LJ9XrA1Q/aPg1Pts3cP1WV1jLVaK3S1ned6DldVyx8EzQqQVpVU6rw4w8o8e8AbeEAxW+PZuJwOANjYus1pIwAQz4bs7RTj645bpfp8TnhN87a8nWFdnbqiRuWuQVmM+4BiWmkJW25y5RGPeMRc9+3cuZNOO+00uvTSS8X1Sy+91E0K+IIXvIBuu+02uu+++7prN9xwA9V1TY9//OPnomPZpdsOXOGJhdxSvbDieW6wu8QNEuQMA2g6vWCQ9GowgwQcBiWzvrgLrJDnRscA8X5y44oEviJfr78TSpri+904WDvTlhsec8PdUrpo6xtixLzpmoNGz+UkgEsv3Esuwa4tsWMn/57btmY7w4glHNPHL8xu4QCI063Hzq0p3EUjLDcsoaUXx+amIWBrij9HIqJHPXwXC7QUQ4Uarb6GLDdynvXt6udx+I72WJEUPCrefeB9VBWynKCgdDWHMvEs3MWCLHk5elJ/kh5g1a10rJ0FAYbHsGBhtOMNjR21g5UBuaa83WvuJgonPhCddaXrcGCnk+/xec4tN16sW6c8NjIU4bD1NVE/ZrnRdTTQ9607IlY00fTtElC8VeUtb3kLXXjhhXTRRRfRddddR29+85vppptuote//vVE1LqUXv3qV3f1f+InfoIe9ahH0Wtf+1q69tpr6ROf+AT99E//NP3kT/4kHX744asahigdWlaMuPt/ZtJE/M/etuqaMT5xRlVme3JqR5vHtRA2C50xy5D1YILr8L5zJ6KXTPF8fJ7lRrsLOFPhu2h6oTiF7aR7iLTwIlMibgcrvEiMQzNivtPEO/CyYr/586hqEmBXC3cUqN3n0vCDH3twI0EjP+aA04c0PQ2AYJ6bqm+PSO8c7O+tGLOOvh8+VjS2VFDMjXW5tL/18Rz/+rlPoH/17MfTj3w3isnC6640h3RQOh+7v83a8hMi6nbl8HriNwIB2h1dVWbuteueu1TQDib7HPU40PELUFkT7djUAXXlH2Yp28Z1cjyvqyNSW6j1O6tj3EmdzNAxc+29UjGkbsu93tjwL7/ncfQj3/1YeuVzTuyemx4bLyhhYWSjidktVeP1sYqysFtq0fKKV7yC7r77bnr7299Ou3fvplNPPZUuueQSeuITn0hE7Rb0m266qav/8Ic/nC699FJ6wxveQKeffjo96lGPope//OX0i7/4i6sagin65GFr+vYZRi6eJv1CgiH1pzULoRnXmJ4uNwHX8oB2xi9xRrzJghZLgIwHO+o6+miF5GZADKyqkBCWMTeGWdZc02mwhaGSVohU3EzHJPPc6CIFbtmvLwMt8ZldvM6Gl2MIPNdUjwfnIrClh8EP54NbygUjVnlCut1BElygzLVJeFSVPDizHZsOBJZjW6v9PCrciqmLp4mmgmO70rPn4Fe7HdrvrfDq23r68UfRf3/5s2D/EPzWErS5wlwoHsgtpOJQahn0jOhJ/em+PFfVRP0m0kdoOLzKA/EVsEBVyAqSF8IIJKH1omWxtg4LnufEEol151h3+E5GHQgs4+FSHaJ65rq086xfd1xZO+nYh9G7Xvk9fV1hHcbxNDbnk63TqLnHN1Z0NCVw8+2S52Yry7nnnkvnnnsu/N/FF19srj396U83rqyDqWhGbIRFJoA3v2iU0Kusi6ePg+mzddqMyZKeljlqemQdjexFXAGLKdAHPCINzmhnHfrv3RBEbb0e3CAGZgGY7EtrXj1jloGelBX4RKWD73qadNH9w+BHR6OeeHOB1XeZNdCM0/U+vT4SlLmzpRzLTc2fRyOz4lY9aOTj5FmD15jVLN03aRqVTbanmYjwVviSMqAHS3YtwLT0jsD3YrL0bpic5UgqDLZOpfrXv9v7gpZX8XzICGpEo20Hz5m2//5daOsFig/seV7vWvUUHz6ndNwJSq9Qij+rqsqcUaXRDUzTAHiwtaqC+aFy2PTAkvGhWrtx+znUBxTjcRHJTSS6aKudteSU10IFQBECSQdLQPHK3VKHYsmdL0SEt9hxJE8E8tywhZU7T6hLjMUY+sN3tRj2YTvXIT3WNVIGEzzNuLsTqrLWHQg4Zt85AyPiAg0w2doXDJsiniMXc9OPV+7qsdzBMtT2O7dmIKbimbVT0c9abOMFliVNo8gxZIBuW3hMBX9HnIHy/3vCXFu7UndCCClhzp8rbxblPeqzD8/qTOw8T/1AUCYEI3ddTeE96T5eclvKdR0OGmXOFKZ1s51IGFzp9TsPcKmUZo7Xrw32t0IY3cdLBFyheDys1JDof622llYTs6eBPgToFhD2QK6fC3xOYgUKudskzXrd8SScXr4tnhzQBOBzl3HHY1ieG+Hak3OaAzddPAVKXtPr3t8Fl+iF80Pxr1WVg8Jyc6gVG/yoGagVcDn/c7I49EBhxgzU5PKC9E469mH08y/7Tjr50Q/v+pP928A5lOfG7siwfRlfN6hjM9diIdRauCaE8rFoZs2Bg2A8zoF1XKvgQc4obwaR3EXDxz5t+FZ4e6MHwLxrHOyJuCll1sZWM/nstbaa6vFtolBQKSL57iDOiNfrmg5Mpm0biRGTTOUvst2yvVByp5q2LFZE1Kg6ck0h1whfV1yATBRoFvdpTRTt/Cloq0Q2pgJbCJHQkd+RgC3V0YCjXauynzU1DsRPEI0Ri6kBAcwykXMDEQicN+NQc1iDiUhQPOINqY0dszm8VlU0USdem3Zqy/PWajsumMTPSeWgA85zigeRPepBrqleqdOFX9L8vr3mx9N041dyAQHtNcaXH/IxN4di0Un89AQw2iHQCNpFg5g+CU3Q+KgNmGj/95oXnMzqSXr0JIWJsZSGxBcDylmi7+GC2moRlhES+flPuv6NlqfoqWwcRmIGG4KhE4sNwUzFO0qgUVt9dfFOOebj95hj7CTkfheaiTlRwj2NlcdglcAWkdwKbuieSK23zT7M6F7DfXGLU3cG2+zTvke7BkwgtJpXnitClwhDL1leiaSWK7Ruygc0e65e2ZZaLyDo11tTfdsktkcjRQjRiECSfox6yzR/p/4c7vvKJRzt5rmTJiIS4IziYNLY0xyu64rqaf7dt8LdjssLgvY2JHB6dAJFHvsHlSwd+8fez6TjQ/a+kgVZj7V9h3YucrhS4mffNqeCjyVeuFAmKjNHHrOwwfzPeocIOvukHHSMGDpgoGaBIuYomZPxq2sGpjQUVEcyAymE+vNRiNYMkwXaKgB2Ng6FRJ3UH7ceYKaiFj7UvOx9Q83BIkdINs+NfK6VGitnYDKmQh/emAdbRH27m2rLsAc+ue/fi7nhIN6mKkjv0caWedbQ2FogU6wpPv48+G/P5aPz3OgiNGEQ95CbH30dFE+THwdXaAZZbsBmA7zO5Fqs9BwG4LNWAhVu4YZ5bgA/04JarYX070QTPgEdBSbbcXkW0/Te+Rzvx9W3w3kjPxMKK1lyx5lcU9PuXl0sr7T/L/KqWoJYBPw5KBotN4dg4XEG/HcquQRKaGuvx9C58Ej1PKCg79O/LTPQdXztEO180fTwa152Wy2EOsDhMjD829MWUXKx1B93JUILjIrd4TVybgfNDGCMi2GO+XFEziBCwj31xy2CmmSk1SWGy0FSxVIBaCEAT/NWfeVO/Dbjr30rZk+3YuCOi1YXm7jMpmnQt9lEf1LxkHl/mrBbCrsJZf/wsFO1zuCuPJXnRrpYZEyW7D8v8FMdnzfwwFuc64Xf56WAQLs/+3bivMFYhx3LYlsHuNtKa7NGY5fzg8crQmso4TVOJHfa6jq5XYGVeR5g/QganblI+j2TqsMDii3921lGy80WFH0quJ4A5lwPRzBrC5AuVnj7QIEXzByVYFR1eLbQvg6ZviwzAMK8knUIjJ2I6GG72kRUR+xch0zWs1TwvowpHLpq5HbkEojUdXg8gC7WSpVnxCjQ04wVPFejPddWMFRV2iWSGWtt5xtKWietKXJOoVihRHOqprMYpzppvLydurLZtY0QrpF7j0w7uiDwzQuylKA6nuWEW/bQ/LDrzo4rYv3jz98T+DZGrf3O5y+aV/p3yZrDAXpul2RpDte1nQutRbvglgJrIQ12U82FtYwCpV3UfOx5ntd+5xsWvEM6pTVUu4zthFlXuzY52NBj02PhNCIvgFZwEdAtyQluZV91QPEIbrag2K3gSlhkEoVNwaJx89OARYwCeHUpajrA9KxBScUYmNzJIAPn0ALxUojrYL///NLvpLf80FPpGY89CjIwy3hkHRjs1wUxKhcLy8eCEpnldqPoXV763lQqQCMCTqSfq4plilpuPMvFs048hnau1/T0448szoW2f8sm1ippleH3oCDS9MpzILXbLaWEbl1VIiYKtWOEjBAgfsC3BiroEEjvIFGvb/E8mniqAL3G2mv+e/VoZPqCaEfmxOr7ys7fWvfl7fiTv9PPiIUjP9ZZO2yXUymg2MTjsXWnrWjHHdUey3PskbvMvG/p0WNvv6OAeCKP58l17x3xIi2U+H2IxIO17CvK8zXvbPuLxG1JPoj5GR7bKsroltqC8oInP4qe8Mgj6KxntOdj6QmATN+aEXMXT8/QZTson0MvGKbiXl50/IrWxlxzowOk0JZqIgySdF8yaLAPMiUiOvMpj6Yzn/Lorn9DTyUXOqpTynia+uMaHOxLa+bsGWqLkx5vN1aHRs5ouIDz4pQigoEHbKbnmp7X//+HT6H/dNZT6Yid63Tn3n2mHbNbCsyhqpJAw9t+qsGIrpUD8Shew7OGGoDuCCJEIy8o5kbfBuNyxDuUMTf8VHBdKkUzDpSW9eHYjRAuASBkLbb0hcBvZn42Dm/wXKJl6xs4gLMwF/j70Dzmt/7NaXT73n30uGMOp9u+9SBoJyDwHeAiaWRJScHc1GNDIInIBhTzvvh60UWvDcyX9W9bh6/gdtOCz4dWHVA8gpstKE8//ij6xM/88+63niS5reD8Hn3oGWY0mqm233Ouklj8Sh6UuBrkUAtDzQVBX8fSrNqp7YLVdXKuK8/FwvPD8L7trqu+8Dwdlu4CI66tdohArA1IVO0A4ZWI1Eyvqio6YpbzqLRrggjvDhJWmdrS3NEEgYt89hq8awAq6qQdVaTpLueFQjTq54jy3ERi5uS879vl+ZSQeznittRzCAlYC5BlP2jdEdiurUtOM/euYcsAGitl67gxN8WzpdR6hUCuvXDiI4+gEx95hDNWxfMcZU0DF/R8Eq2T6exw3g4AKLrZevHAeFW1oFE/w5ySJecH5jERBdfQYujr1/pouXkIlJKwwMF1MokdkccwdDuziTUg5XzFJmTqGwnhiAbpWXf6+3xBMCTZmjU9B5gcGwNXKrgAQ8xJayi6r1zwthfQzGmsDY1gHJnMpIkmDzRGLUt9O2oMzn25rfqJBm1xsaAMHYppx2bz3Nh29HPsgayf/6NkuYnF3Mj1w92ffCu4Z93i7cBYN3YpJMwd60EkcD1HX3cfsi4Jd0UgWNihUVvA9I6/umoPg3zSox9GDx6Y0FGHrVt66opqdk4Aj93pcoQBJlPadZWz4nXgBux4S/d0Owdra8FM7ZcsN+ldbzaNAZFD8inpNa1BNJqLSEZBpTzJoBHcHPpFz7WcWyqVVuD2rpJUT96ndiBATcfSU9LGPO3Qc4F198E8N3lGrLdFpv4tzYjpFwDZjKFLTScvqLFVRLvAJD1RzRe9Zy10KmccOqYiZjXTz9WQVwRbiMlputEz6+guAJeqsv+z4+/dhp4Vs6qk0oDiPkrgk8jLc0Oqjt0QYN1S7Xd5Rpbp3rilbHI1+z5wnhv1GwAQDwANmh+ewjIX/7B1vOMXOACrqoo++MYzado0tL5mE3zaZ9bPhWlmLuC5Kf/vWTPW64oOEH4+vE4aO7auSLDk8cG6roimjaGncz8DC7IFafl5DhVuCPxlHe6iHN1SD4FS0vyQeY/H3HgBxTrgraqIvJ1HOXr0IsGal3WxRBgY1OCcrMEbKgeF7l//tozHLthEx2bTalWobRHUCphKK1A0c+j/z4MdUduSRvt/LZjKu0gw47FumRl9A+ZCxDzd1pMZtD1gZ91Sss5ajawyliYTfwYEvJvEcBIDF7x93m4pQ7EJXFfPMArasQXXWg1hMKgAyI6bW1tXUqK9Sc6yJX9XAOzp9893JfI6AnzCnD4qcL4G7sdZu4ftWBNj4WWtqqhxtjXn44v0b7tbCu3IbGntgYs3p7zUCby/3Nb0dD0BKW0Zz6b/cEAj7zviIpW/MSDUoHlVZdwttQ3FZPlUmq5r4TBMn2ydgjaGJrppB23lBExeWy8QAy36w1Vfnnna0owAmRbmViimPtq+fQCUO35BL3zNwIZYbkqBnojxcOGe+tdo2DCn2jJZCOyAC0q8HwhiEyBk+XJs0xI0Vj2dHt2ehVK7DWE7Oo8LZ7JZc728ZtM0RJQTDT7ls466BeH8MLFleYHi1THrrrJHJGClIr/u2rYtANMTNGdllnW0gJX0YIuLpdnys/y40DUdKJ0T+Nz6WOQxtQWf6d7c1nSurPG+U7XoPKsAf9dzyHOh50B8P4b22oqxzQhutqPASWI0AntPKdOxYRhMMA5zRVhzMPT9F/3qZJgBGpfZeVSgD43DWBigNaMfT46etk6fj6X0vjQjmGTymBQtLpUWDI6GxMCKG3dhAJgVQrogIaitgT5DZ2Nw3pm2PlpQZsE7GptuJ+frT791nAUev/yNYm70WrWuI79vIu4KMd0DgWL/X7Kk6WseKDDrLvGK4NloRJ5A08LT4Q0cXAHwjfgHUrJ0KdGTAxy8GHrApgU0LqL8kSZaycoF4Ftrvexf/K+W16dBno/GYRRuRybxaxXipzzPzWi5OfQLzguhJxsWaEScoZOpExVE+j5dp8wcreYHNR3DwIAQMgBoDiEMGJgPXCqX5vS7B5Je7A4bpwIX8fwS5YBi6MeuJY0IgBkBC+p4gcGaXrPDywkwzmU6TvfauDGf7g7koHYKiTH5eunonn0fAvTxYYGyvs2DREY54M3kwZUEHOj5DNWove3Ifobi/C4buc7s+tA06aNRUp3Sutdz2ANAuhSBHARtZR5jnz1wkxkeg3kVr4PHLunWSStxX3ItRN3PdRWxhGMeIxVKLG/0vFpVGcHNNhQkrEwyJJAxsmS5MQF4lXUPQIYKGLhexLlJm+5BTE4ktHL86npHlacN6f71b6uJYmGec0uln6ef9AjauV7Tdz3+aKORQM2ctRHdgVE777k0DgzSSNUBWi94P7oUQVJlwUb6N2fAUIur+jiPnrH7dPsxN2RjbtB8UIIx9TUoUB3uZPTfPW8j55ogcsCljhsrAidPo86vTW054TRuZHZW6utw95gReuVYu3njPtAznMdlHeMxSqEDYKtfCz7QN+sX8kUJatA8T1/TtUp96nreNV/JUr8LQelovnJ+NgYUPwRKcdFUVTZvhxeMiRh6afseEbYklQJf9YF1OGhRCge8iFBiPSzMJY2WnnKAc/uZ216ZxnTOmd9Br37+SbRzvd+VIw6ANFpn3wY/SkAXfg09M80McUBzYnw1EU3deCcJGmMMHQlBfU6S937QTiiecr0FJb27j9/L2yodEFtXVRdAumtHej+2jg2oHi7Q9LlRGnxWsN1+fk2oMfMj2j/S6DWQ9TVqWaeUByhqFelp7AFQ6dnjea7XEACWOs9NjTdaYPr0OAogCSl9c4AtPWdz60UrA6hvDWo0KOHt5Cydutg5LP+vFWXX+sd5lQuS2murttyM4GYbSgmUeEnZ+tOS+/tsHclUPI2AF5vjQLq3POuBFcK2Ly8jsKSxPHZdcpkw0/+9sXONydOqiKgDNomGyex7Ao1VNdtSXpP4zWnSJbSFu5Lv0DIr+Rk9fkGXyLWIeZrTQeQzWRQInNOyc1aZs089ga7bvZd+4jlPnPUF2uksP9jCEApGBcCqDD77/9EEv2evfwHQASANu6XMPNP9kGonvxbQ+Pq27fi11o/a5rvrEK9CVswYQFW/64oqtjBzcTC5a5p/IWtG70bigcC63Z4O1C7v2+Y2k/3zPnOxmLpoC9Rc616BTQSSOB9ateVmdEttQ0Fmw2IQKRcMHdO2dayvfw5mAAAHYrJFQY00LwikWJ05hZDVaPMadWrXE0y6VErz4+0MYSp8LB4gNEzF2dmRDs1Dz7VSzzUHSnI06+foCaqWnh5M4LakQEM0VDWBOpamRx+5i877sWfSdz3+aNFn105F3Y6sbp4GhHdk/USC5NP96RPNq9Ja1EpP+r+d57Z/Y8VUlcwRCcH5kcbT1YFr2rrHIf8o8TMNbqDig9aY/V1MShp4P7qdHGDOub6RxcV79mc+5dH0yIftpNNPeqS4l3+vFfAxvBHmuZH04HXv/07XrALlv8PRcvMQKFig+b/TtcfMDnV7zJHtJ1roOs24XegIKCjGVwPmCCa2Rfa2L2ORAn17uzb4tRLNSfvz/t/S037yQxcjgITfy7+n5Fmdr9vQiOiWfUHN3DwPzPgkA5X9rNV+nhfeV46+VKcEkipFj599mGmrNa6zxsZfO8815Iqo++DlTggMnFceQNYWD08wdZ9gniGaiVAcjL3HBHiDsZfWZrvuVLuKFvScNd2wbZNKIh8TVmfmSxGAFY44SfdxsQqfGXoXdf7d5+IDc65vDdpzcTn/6rTH0489+3EdvXrupT44vRHlsBLtYAWqbLGNyK2enhHcPAQKmiQRLft7TjyG3n/Oc+mpxx3ZXdN11tbk5I8sYqjpiEnrMHmlxVjXQMtod6xVtDFpaMcaZk6RnR1lmkFWWMCciKTFJQJINA2mHcFUGngPuoaDbiUNOUvWjllFdBIy0nrnFQz8kpcwMNUlyjPZSDqD0tEKMD4CBTvW8n8IxJt22CXsKkEAVdNinwOaVuX5gayzZZcTH3u6B7VjrLN6vTh2fDEfHN6QS5WQ6swTFI7WvS4l/uEJ6lI7WmFoycbtcOCCgDcRidiyHD2VepacHt5ed4+ZD/l5Dt9hrfk7BvGathwfWnWemxHcbEOJWB0Qkq+qil7w5GMz7fg7RHhfZXpQng57jxDCmfiVt/zQ0+iu+/bTY448jOp6j+1LaWemHSiEAMMS27MB09c7dQZYbjQzEO0kngIEoS7lGAI/db/u/5XPeQJ95sa76WnHH0lfvvM+UyfdO20wkEM7TdK93aGlQJiWdm8hS4l+Zj4AIlorBh0jmn2m6lkGSoLRG6vV3vPPA20HJiKzhVzTiICT1rJ9jbrK1sHxLLIvfy3otvX/7TiQ9TEd1nrEzrXumqQRBb5G5oJtp2SJRkNF65lfy61N7qL150cfQxnhHfxe/r2Uub60XnyLi6yP1o/d6apBUs8/RsvNQ6DASaIQcGw7HxIMZVCiS8kk6QYtFq1N7e9//8InuTRjQDaPMEMLtiSErYCJmuI5XZ7wxFvBZZtwHEroaFiS2n3ji55Cb3zRUwx9fBxrdUXTiT1UD93Dr/PDHe0hobp++7m+pp9vmRGj+dltF69sOx7dMI4tPQO3HdOMeT+p3pTtgLMASI9hRj+33ATmsL6m50LfVmmeE2mrKhZebN0BAOKBXw040G7L0k6sqqroscccTj/3su+kxx1zeDcWPVYrPPU48s8w/Zbv1VfESu1E4wM5iPfWSxcTBnge4h38Xt5XP89tHTQOIsBjwFgNiAdzMQKAumNPxq3gh37Rk6a9RuJabBHbOkXLQMgKEjM9GwA0R0pzDZKqMONRv2tLD1poRL3GFAVSiS793VoqykLYCC/EDAzYw+PI9cUF7MakcXaImGZYW3yrrxSmHkjS4JFjsvS/Jz3m4UREdPKxD3Pp1rsC7XtENNsxaLdWBNxpgZ+uJbDHd3ylNl1LVrq/lrvrdPviXpMcUv7f5pDBypLgJ876FWe61SjmxpA3u1e2YwSz4Q2+wH3tC04WdOt+rFW3/A4R2CxlXJ9LgcqkV3jEETu7Ty/R3zqLCYvwDn0dgWh0bwlYe/m+rIKr24iB8c4tNVpuDv0imcPsM2gFyV3jEymh8Zi2qid2IHAOnE0Ts7jYvoumTcjA7GIsAbvEy3l+CSM8PI1JvR9eN+diMe0owWDzf0iacsLTa1fQyD6jDNQCW/a77q/31ozErCWY0AKOiOhVz3si/cDTH9Np6wjIdky6a2/4WuDZsZECgX7zunYcvSVLP5/0mZ5HpejvAqyJRGBrSejgd9/P41S/pHggjbqurOs5Pj8KvKFC1j49z227aC1aIGn7su2ocSgwg/hiKf4qtWsPLcV9//zLnkEvfeYJ9LzveBTdf2BT1OnnR9+37j2iZGk+lLOG6mIBqr3H8oH8PPMAUOeWGi03h37RE0JfwxMJtWN/a/Q+dKITWaaChLCeyJC+kJUoYuoFbWuaK62t+pljecCnp1Xl6PZiOULP2jB9fQ8CabaOLl7f/NyZCH36urUG9mOfsqSGRESPeni7i+/Yh+0ydPLtvo9/xBEuDVXF3FtdX2W6c4Ko61vdU9othoSFXpvIumM0ahbQzHN9xCx7aN0pgYKyGBeEeVXpuYjXJiomoLkGbat3j/iHLmisZcXH0gfbMc+VTB1dSjwPgq1ZhSc86gh6wqOOgPSkNnhCS92O5x6v1Dh4++k3Uph0KcubQNxlbWUABECzSk1D1DSNO7atLiO42YaCJqje2WIi3sEERVtADYoHO5h0QYuPX9LMKt1T2o2D5rAFHFpbnlM7q6y26jHr3DZNb91ppkZkLTd2bAWm4iRpMzEVNR6Hvg+NQ1qpyu+nrSvr6Oeq7019v/EHnkKnPfER9KJTHmPojFiJqkoKYn8XDWxJ/mKBjEiB8GhC6QRyYE+2LY8t0LE+vI43Dq1Rozw3mn8gK4QWXnqo+Nw3WSe6FpDQK+/oQs/e1uFJQGGyypDFRVqK4iAJtCOAbWxuemNfE3xIui09yw3iQ3bXmbwH8mHVjsmDVEfALxnwieYQf2bt5gY8tq0uI7jZhqIZGJE1N8YYsW7XZoCNaCjzAQU5+bUQ9GlWdWoUUKzpM81geqo8Peknz8MyjyneakxVN5Yy3bJNrDH1v5HJGpHomdn5ZwQ06ut2LvS0d8J8JjiOPmIHveS7TmB0yvdR6iu9l9xJyLpdTZegW60Fq9Hm6enfs/y/WKuBzLHDrKjy2SPgIKwiELTqnYx4O/I8SkWqy+vARIOq7QgIQC44rQzMs9FCx+pUlW/VzV3TFuwon/bGvmM2AfmW8P6Il8DaZEc8EA0D8dZyI/+v54PHq4ruPgWcJtPGdf1vdRnBzTYUpNFGclfk2kl1NKiJaP0I6RtzI9xR1f/2Dm+M9CXRfyzGwmoIYIeGE+Ac2clg+su0gzT8RJMuReGlnkdVRWNOcD+cRivgTDNdn6m0zMm2iwB6rh2fWds6j3p4G4z5yFlQ5rzBn8VsyIAmDniQsKgqvVZtHe0O8/L1lAQzBt+aHifQs5Y0wjUurCKgL2d+yPngKUfydwxM2Dr84N04mLDtRNMZ5K6hGKCIRcq0O7vp3zzvCUTU0Auf9uiOrnTESwTc6AzpPLarRFMk3kr05fBKC5JsO/yZrfIIhhHcbEPRJ4AT6TiLBRax0nqR8LTt5Cekl2Ld+mQDNAOwlZjEtHE0BEA01iLkb49Zn/zoh9Gnb7ybnvioh4Wes75uNXN5PRXo6y4JlApph5qWPH1E1kqFgJSb50a8+4AwDwEXWMUAByKiV37vE+jYh++i73/qo8X1jm74XG278wRaimDZyt7HLUK8DQTSvM/UZskC1W6/tfRFYmVKfZn1C6w77lZws+41jVZhQXE5uqA5rHePWcEda8fG9VmadbFpIvT7iVmSPB7zwqc9hl74tMf097KQcw8j6bnY0iE/Q8qAzk4NgYv8jbf8q3ZAP3y+rDLXzQhutqEgv36lGA1iGLrkFnEfBxIACvBwwBLYslpmRHgYAMAW6HTS4O2xcOz2t034hel5+//2DPr3/+xJdOIjj6BGaRIeU+Ft9Ro9dbTP/jOI7lZQyv9rRoyEVyl/TmqbiIQVIWJZ4vemOsi9hEBJrp2QRjurc/jONXrZsx7r3hsL/syDi/Z3iebZp3kfto0Y+JUCFpWSkhM5FbxdC+U6JQEXmR9eIkzjBpqDN0DLjT6oEraD6GG/61gcGwSN6v3MNy5ThYiUxdSphNadBu+RY1a0vIEKrnqH6P3YnXN2rXJ6Vrljajw4cxuK1s7aT/n/yC4eqI0xN4TuK96OZeCmnTqykyHWV7p/SDvIuqOFqX6GXQDeWk0nPvIIhx7MVHJB4EOetQYOWOv2x4VoxuNoP/mpwkg7Q0W/e/2e2/76On6mYznWUp0IPV49bH2UNA+1hsKdjGCetZXBfUbRyPetr3sAXdKDXbT6uUIrrxrHPEIYta2DlTG4CszhmozlJrYW5G99xEtVWddNbCu4BexDAbNHs64Xs4bO+FmaZ1WaZxGa5HekKJcC1/W1qkKhACqgeLTcHNoFaodFRhNZfCxHCGDM6B5YBzBwPLF133n6iCxT6XYeMXqnJBcAZoT2t9CMgfXLi9Kvqz5HiZ/nxtKjrSOIQdi+8kLH7nTxD97LXdO0eUAKlZxbrLM0htrJ09zSN4werx4SsMYdBeaMLtIda9s24AIBoNnXdfbsdX/OUI3bAVuk+G9shShp5jZGLQ70DW8A/ZeUIxTMrXurq4oevmuddq7XdPiONaqr6FywdeyBwsPWKmrHA5+6RNavvu7PD3/ueUpWeSu4k6uoJANq7ZbCz4xfG91Sh3hBGu0yNAKuZa8Bxozu8eqYQzGNYAj4/guLiv/m+VhoWmY8euukNdf7fSGa+HEDXp3uu9LIU7+WiZWZSnGHSDW8XT4Ose29cA/vk9eBYFxpwqjw60PM7KadzD3etaqygZZDrQcdkFPjx4n+bLu9y3V2vbZt58bhzWEdF4SUCp3oDwnY8o4mTGMp4L1SMTbt3MPzM9dfXVV0xM51+r3XPZcO21ET3uVk6UNumXIcWxmUoF1oaPenbUdv8468e1yHX07f9fyKvEczzxTdOoC4lQm2jRBIYhdHt9QhXioxaeRn+m4mElw0+ncl8pqgSjENRV7zstsak6ShJ9YXEdHDd80O0duxHhLm+npdlXcyeMAFvY98X+2n3XYfYSrsu5PnppTUcIh2mBLmPfaYwyEAQEUDDhlgbMe6GLO2befa8ejWTJ8/Ry//R8kVgTRhDRSQy6sH7LM6YH5EtHdtKUhtlmKydEyJB5KMNUPR4oPWgEAr8Aa4Npzdjc85+ZH0zMcfA++LHidj4/EwHyq1Ez1nTZdK1ClXivEhOb8TyBnKhxGwReu+JCfQPOsBWPtlOsXj2o4yWm62oeQmaLoW2w4tr60xpuaZKOfRUDBzlL5UqMVEhPCso//6L0+lr971AD3hUUfQF2+/1/SFSl31WyeTQCvRjIrI2RICQPIZI7eD11+ZOZbzS0RAY5pP73rld9PuPfvoyY95OO15YCN7D7quhSAU+N6WYQWScB1Gs0dP4MwyLpq99zNUoPWKhy8IkHVHM/RufhTGgPpCoCAHtvprep7Z+aFdcHFLp2ynxBuiazFWR/7Ga0H+Xquk+ySa8wk9Mz2nh7jyeuswrBJUGNj3WtZFc9Fry/J3S0vEiqhp1l1x6+mEmpVabkZwsw0FaYeaGenpGFnonKnoia/7y10zzKkuC2G8QBDNWFD/wNOPc+/La/38gMf+f8OS1uVp1vd6GlOJ8aXrvJ2SlukBoBx9/PeRh+2gIw/b0fatd5o4g63Uc0TPB7lvcu24dUT9ssDnNHjXjGUtabSGvhLTt6DIvh97n7bmoC26roDjVjuwhVoLGexOsutX91dVdk4bwRSwpLmCsXAAaERZiwXOx9opgb3SXEh17C40fU/umZUS9OXp0ffas9PSZ5kmfZAoBi7+75ZGu148y1pdE9FktQHFo1tqGwrSaCUzmheUlDMUI36lmZjW/DwNxbqBAjRHtHBngZi2lECzGVd1O7AZIyxKfel31gNU3CYvNpmYpUULj1DeCsB4dLHCHZJo5qeOzdD9LbYTqlwHWSjzNGOmPzQY1XuvaOzovlwSQR84+H2la2ULpQWkaJ4ZEK06iwAwtM40cEJBz6jtCK+y40Dt2PVSXneoL9uOjXeKPTOtMKAydC148zyiDPAq2EJo6UHrR+fE8p5Hd3jmCG4O7QIj3gsaQYQZVBV1py0/tjt1uQwUsEkyTw86FVzTGAkaRK6ICOPRbXlbdJclhKHbIxPIF6HZ9XWrcZnnARqPpA6Yx+2gwRbabuqPNdKXfa666KtwXqldG0QRjTZPT/qaM8+jrfGmfzg/Ys8DKzCk6sg2NCD1LITG0pmhRd9botEIxkDby5rDiJ/ppKTzrgWthCLQiNsZBlxi4HdWtwM5th3029KDLVkaANn+bWyVZzVK83F0Sx3iJWfCTt/nMb/WVUWPf9Th9Ndv/n467qjDZnV034F2arsYIQMroHa09doKKlsnznh8oNBry/y05rLwdOvkhFdl60QsQL5gKNcx9IH8ErZvK+AwjfI5aoau7/ViZbiwcqrA52rpKddBCoM5iiQiGEtHTRgQbdvS1hyU6dgPbpfPDK1fC35L4MJPtFdXbRoEvMYhiYA3yP+vaTAR5GdIgSrWiQCgWs8zHIOEiuQf1jocf2b998jGhiG5cEwm7oH0eO8eu1/l89B8wLMy9wHFI7g5pEtRO1zALUVE9NTjjszUydOTfg/V/OoKpd6OATJLT/6e/rqih/v5hYDpF2OxnZDJGAuvkOWG/WOtBoKh1oIBMfQ8feg3UVzL1IKgAgJ/WTE3CBTk6kQ1bKL+Wc97thOKW0Paqm7LtxwF5kdBCLeApzQ/tOvMX1MpMziyAM1rudGgzAs61mWoxcFvx7Zbckt54JvzD23NiO5kTPfmaNbXQ7xKzfP+N6PRaaiUwFG/MzmX04G5dldeolFve+/cUuNW8EO7IEZsNR3/nlQidWKajq1jgEuBYWC/eqQvRHOZgel6OisqEjqhs5RcUNJ/177ueXfDII22qjQACsYyOcIrd18ETKD3TKSfB2wGMkddJLDE7USAFAIOyXLYzwV5L6JJb49u6VJgArjAIPjVGjVY96VxWCtExLInx5bTqAXwCswhQ2Ot3RdozoB1D549sgDpYngebMeul3mC9HV/th3gbovM8wVAPNyVpwBERGGIxFQia5MeR07p4/d1bqkx5ubQLgjFW+1Q3hNhBnB3gUmeZenBVpkCk1UTO34quGXWhuYg47EALP9cF7MMcEE9+1QgZ6iFwfNRa5oRsMzRp/vp7/Np8drS734NPFd3rAAQ5vuKPLMAzcpi4wfX559jJM6gduoQET3/Ox5FD9+1Tt994jGWRmccOjbE5LmJrM0aZSjG48wfe4JpzPWvgV26FgPo5TrzWnfMbtQljNULxC23E1kLXju2/hlPehQdddg6PefkR3Z0DaFH87G2DaxU2OdB7B60FmQfY56bQ7yUmWNsoc8n0MpgQgvd1vyo29EMLOpyKjOneRhPVVnrV7pebidPs6bJmoN7Gkp9RXa6WBP68Pdc2lHk1dFttccY2Db4nZFdaBEzuxu7E3o/tk7JLVWydHoAGZ21peciEdG/ed4T6V8/5wmw/5irFZ3VY3cpojWuAaGnVPB4oOj8sJsf7Hu2FkpNY75dt87Ad5j634qcPgkkVVUk+3D/3QPokfkhQXz7efZ3nUD/4tTjB1qQbZ266vOG+e9V3qd5VU97+0A0cBrdUod4QWiXM0C4jRkKtDIzGgqSukmsGCi23FChDqJZ923rRKxWqU+PniE7VCgQ+IqYgXZbaG0ZldKpz1obiprQY+nty+3o6zqANrf12dI0rC//2QdAEti9pQN5hwLrHiDLtpEQEiANgB/dfzyHjF13GgChOVQ+uHL2KSw3Pi3e9UrN156f9dfQuVUxK/N8/AwpWfp56LuiLloJdnCdUjsxgA6ruIqYZ63xraoWJOm5r3fl2T7lPSgTuMhzQ6Nb6pAvKMZDTx49uSPCKiTQ4A4Eu/C02RIBDs3EIwzDgpv5GFh7ndODhWCl6hTbGSCEc1uNYzRbzVzHLnlpz3PtenVQfA+kUcXTYO3MbxddX8RqpsFWqZ3U764d7UB2rdewfTz37P8t2PTXb24c8wgv9F4lSMKgVQidClt32vv7ORxxYfN7UV+etSs2P4fXQdY+1FcEEKKi3xkCq8jal2snBmwjayrOq3L0eO4kFN+jn6O2Inr9d26pcSv4oV30BCGirIuDX5fXygt06O4kTUf6jixJES2zRPPS8txoUAAXWoSpeH3Z+tq0H2un9MxsHU32vBpte+/wA/wQYx76zJan0TrtAIXhnz/tMfRjz34c/fhpJ5p2PLrxoZis7RofRyGFBSRxruMXShZTLWBS/ybw1Rk7XyfIBYZp7L+jAxb1vRhMBOYweEFzxRDWaGt6/h5Egx5H7waqqHx8SxlwxCx7+LvXjkcPUlhyFlscXI+zl0NlefbP8VTwQ7wgTdSz4KB7+mt+u4PqZCxJ6TtmsnmGsVawEhHhhR5J5sVpbdtRBwE6IK3UTkxjmvVRyd8RYZ5zpaVra3Wj6shKiPENAYSTprQ1XgtGng/Fzk93F1oAAIVAwcB2Ur/HHLGT3vHy7+7rBOZV0cxeOcw7IFBiGnUJlKCA8zwAQiBJu488oF0ah7EkOfMjAibms1DG2pFWZgucYikgZD10UOViPIZ/j9DjTaL+6xArkeX5tr6UXZ4bl983o2N28SF//ML5559PJ598Mh122GF02mmn0WWXXebW/djHPtYtcP53/fXXbyPFwwoSuDaVf0DAB+pEYndySDt1o++rKgleKsgc5wRbpq8yUNCus/SvwaZehxnwq8baBsxtHpPjiQ2RQNEHkNYV2e2mcCrgjKK6RJhsjqlVdqgLWmUioCBC87B2iPC7Rn0ZQAq2gg/doeJq1CpXkwEljvtV0x21nPCAz8jaJNJWiMq4MfU4EG9ATUfWvQUlgD7k6lXzNbKm9HWz0QIK/BhIQkXyGKfO4DVebscDJToI27Ztt8bz9vj3MaCYiD7wgQ/Qm970Jnrb295GV199NZ155pl09tln00033ZS974tf/CLt3r27+3vKU56yTRQPL+jla78nAhO2nUgdzVRiDD3HLNM1reVqRhPaCRWw7riMRwkZ5JZCi9jSFOhLMXQiC0hDQriW7ehqVRUJBl0OmIgGUXK60SGQ3jPj3Dp0PtiSzv5y29GCsbBeeoAs78FaL26Dl8hczLkG0v9LAlZbJlqadT+zumv9+zWWLeed6UBTpBzoa3q42Poor8XiaVAd9MzmW1MmyBatjaHvdWl1YJXgekFzWF5DvCJr3QGWTn3fQzqg+B3veAe97nWvo3POOYdOOeUUeuc730knnngiXXDBBdn7HvOYx9Dxxx/f/a2trbl19+/fT3v37hV/21mgi8M5vj6VeXdC6Utxhs6ZEzaP2x0IEeHh9+1diyx0bXrHGvUCTEXt/iAiesxRu9rPI3eF27FuqeGM2LVkiXZglblSs8vPIQw90lfkmS2/Ha8eDhjNzLMBO2YicRe6DgIlJTeysTDU2HVFRPSvn/MEOuNJj6LvPOGoQa5NQQ949jbLdnlNxyxH5bWgr0C3VHis8nspeHoxi0uknWWtF/tdx5thPlB+91i+tV9WGVC8UnBz4MABuuqqq+iss84S18866yy6/PLLs/d+z/d8D51wwgn0ohe9iD760Y9m65533nl09NFHd38nnnjiwrQPKTlki84H4f/32kG/cZ08AHJN8YY5kTFHzwNc4EKfk8nKM5CQEPbaydNs+2q/n/vCJ9PFr/1e+rFnP962E9iZtebk2xAWqdqa2RcR8FLDLwthnQjPA7/LoGer3VuRYFQkGAzYLJ0/FZhn0VPBtXXPt5TIOiXrUvr3uS98Mv3+v30eHbZjbS6lwlqS7DiiCT4ju/liPA+sKTXPIlvTdVtmh2j6X4B/RABHDACx74usu7oy33PWejyHYrlweB+Th2oSv7vuuosmkwkdd9xx4vpxxx1Ht99+O7znhBNOoPe85z102mmn0f79++l3f/d36UUvehF97GMfo+///u+H97z1rW+lt7zlLd3vvXv3bivAgRNCTbCICd2YcQOm3hLg6JB2Cdwok3kuxbukR/dt6xgG5gphfg8+A0kzJ1SQ5cr2ZYXww3at0wuf9pj+Ojg5XJfSmS5IG4qb0FmdgPCMMFADvh0mh9uJgJL+OzpolWi4Rcp7h0PBt3fid1lbnf95YGHBg8Dxbq28Rt3XTZpzJCjdt0BJehFAnQdMLMuqa3mM3UmJ6qCSBXI1HmuknXIdWCXU17zbxXObHTyrDEzwCXju+177HJo2DT1s1+ogxkGxW0q/tKZp3Bf5tKc9jZ72tKd1v5///OfTzTffTL/2a7/mgptdu3bRrl27lkfwwIImjQ0olvdEtv+GtggXYlzwDpHyMQEoxXso5mZOBqav13V5e6Mn9CKaV0Qz10y/RLPH9E1MQ4YWr+1l17EZbYcBlwhojL3n5QgPr15JUFtwIT+JFtvG6+VR6TPH4nZy61UCIH/Lsn0+ARrNidu2LQ22vLbni8eL8TxrSYqN1QBb5brR90bWVOictQAf8ncp4jY9eqD10QSuV911fg2tTfQ8jj5iByZkG8tK3VLHHnssra2tGSvNnXfeaaw5ufK85z2PvvSlLy2bvKUVxNCtBScihPB30Ze5BzEDS1v5aIVl+dUtzVHGkzeRlpkeur4sl48vzHl926cVXvGYGyTQLAHlOjnG12czxf2W2pmHZqQd5tvB9OhbUT0JLEH/tXUTtW2X3z2JOmUBV4G2Y5YSe0aVbjtkMQ3OD/SeSwk+Y7zB1om8Q9SOBqS6TnTLtAApDvhFJQL0IyA+lBbBaVP2Zb/n3+v8dQ6WslJws3PnTjrttNPo0ksvFdcvvfRSOuOMM8LtXH311XTCCScsm7ylFYh2tVsqwPRDSD+QmAstGM1kEcPQdXTTkTw3EQYWNfWi54G27dp28vTYOridmOaFgEOeYdjnuiyQhusgIah3SQ1l6DEzu0dPYFzA4pFrR9+D+0JjlXN92I4Z/F3W4cLT1q0qPM/0tVLga8yqimnU77VkBdDbxTUt3jVs3ZmvHbtLUdaJuWitW1nfu+VAfyCPifAKD6RpUG/q1JieCI9ZRVm5W+otb3kLvepVr6LTTz+dnv/859N73vMeuummm+j1r389EbXxMrfeeiu9733vIyKid77znXTSSSfRM57xDDpw4AD93u/9Hv3Jn/wJ/cmf/Mkqh5EtOdTcLZhA/MZ8pvgSPe0PnRDPWg9UnSpmYZgH3IQWcWWzkOo6oecY0JgiYMszGSONur2vj4Wo2IaC6PELLV2YXu/eIVvBc6kKFpmfMUBYrjN07F5biGYEeNaqijabhiVy2wIBpwRKVWWCONXcR88s8qyrimWwDghGuzML0WPfCep+Lv6B8txU+reyuNSxAGfdn1Xo7L2hlAfu+i3PIS4XFtuVZ+tr0Ira0XMIHb8QWYurKCsHN694xSvo7rvvpre//e20e/duOvXUU+mSSy6hJz7xiUREtHv3bpHz5sCBA/RTP/VTdOutt9Lhhx9Oz3jGM+iDH/wgveQlL1nVEIolZ8ZFjMifoOVJnLsnlTIowKBkniA9U2eZeW4Q0w+Akphg8unr28HfvTrYSkZUK2CraVpWIOEQMLGmPgc/s4i1ybEbS4bu9TUMXHj1tKaur8l51bD14veD2o68Hy+Yu3QqeV1bl7Gpk3lGPHgZFa3UlK1d82XZxnluygAoWdb4MSPaLRWJ/dM0aWE+CDSGlNVyO8uzROffmefmL1mZvbYPhrJycENEdO6559K5554L/3fxxReL3z/zMz9DP/MzP7MNVC2v5AQcypsR3TaK65QZegSho3NnanXfPGblea07+jrK7aH786wp/GqEOSF3m753XqZSVxU1an5EGfFQ11lsHPJziBtmWaBxaB03YNPck597CDj0MWlENPFiXgICzgNymWevt+MLetQzwtY3WQeVupLBy7COCSq17VrLr+6nDG7w+ynXSdf5MSMybcW8lpvy/FjEqhqzuJR5DJIvuiDwq69pEKvba3kTFescLGXlSfweCgUxnrmy3QY1sdxvr68IcNECJdbXMHqIKOQqSiCgA4kQOMBmDOMr1QkxlTmAQ/q/BmnzmtAxjcPqdAxcMfKIxSUEgAaa2YdYPEwd9eBQNXz4qu1H/2+ogPOtIqAvBdRRX/oZSRCL1zSkMWBh0EIYtSuFeUzxsVYZ1Le+B5KYBXvIEh3Nc+Nb8Qa0E6S5TI/XzkAABBRBC1pte+3OTvl8ov2voozgZhsKMi0apil8mU47ocUgf5cyHXdJ2xST1+Z6M7Er65aCwiPA5KKBjchSo7UHfutC574MZmCO8AJASvdvMj8HAKGma+vy3KTr5XZCpnhxlhKsEhPKA8GFRxNyS+WCc3EunPnnRy77sGfp03TXleeW6utEtiOHduXV2H1heIPpJ8+HUtuWPnnNtcaqtWB2bwXmQtuOrIOCyUPvPqQcDQNAQ2Lm8nXsNX3GHd65Vwa2Hh9aRRnBzTYUyJw61Nter5z6vESE2VDA0U90+f+yO2W5ZuXhwgLTNlwwzg+AIowH9aUFSs41oet7/UfN7NE6GvQOt4jhOrFn33+PuJwi79CrVwYO8hq2ZJUF3JDnoecA3K6uBBEScCFwFXivNn4lTw8G6Kjv/G9EdywtAqAncFSM7q97/lmwGW8nR/OQXU66oPcRaUfzmNy8T9cQn46AtFWUEdxsQ8kzsPgEkQy93BdvX9ax/5fAqczANEP1+9LMCdM9L5jQeVgiICnyHEMuloFMrjtPTGnZS9n1FRprWQhrAIY1uMjzKAshHxAGaA4wdH0ZWw3t/xFw0ab8iECZN6hUgxOk1Fi3i9+OprfUvxmHeq85ZQ3R47Ud4VURAKTvRZZn004AkOq1uKZ4jUcz0XALcmwtwCrQrWz7sv3qZ1YKSl+rywktveexijKCm20oeXfKcoXZcG0Vtw01QXGYJNoRAUmSGspCQo8tNMN4MNOft69IO/xyZFzeuy7VibkUHBrn1DK1dhdhYMvTaAN12D+ipni4cxAqHrnnEV+vEcEkgZSsW1WgjgKf6Rpe07gfSaMFTlkaK3zWFg9+rqrKtFVSstBvIrIWlxBQsDvMInwRtdP2mX7bdx9bdwsAl0CM2lDe2QN0SSMG0ZJebOksr9dVlBHcbEOBjEdpgiGBGwmErfK/9TWtlaRrOQafrum2o0F6qMyr5RqhE8puOxQ4xJg+rAOEsB4HiruQmYVh08H+++9DfPZ50Bh/P7rwqxGBu8h2fg0AUEFzE91XmefB6+D+531m2hqC+tJzGM3p5QEw+T0HyLRluutnSQk+o+9abzaIt+MLbwQsFzl6Y1lrKgIuvGM++H0l659ntYus11WUEdxsQ8kxsGHbC4cxdH2PpoH/3waOAZrVApkvd0SZ7ggz6LUPeU/E1DvcehABDpF2LF3mTBeoMUWea2SsAwRsJ+hnn059QQ+v44JGKxjz9ETqzA+ASlZMPb+Q1ht5P3MBS6AZa5CV+kHJ1ZYlYHObDfR86RUg2RbOYUPlOqrSEEWDC/Eor8opUJ1bObSmIvNjWDuhdRcaF6YRKrT63cP4r3L/qygjuNmGgkyCZqGwORE996TUV1sP1bH/1xM9p8EQkTlzx+tL07SQFQTU0VuXQ0I4BAr67567bV5rk75WOgB0EcYnNfpyHc2wMCBbDj3LAm0R7dntC8ZY2GtaCRmqUQ959hpAoe3q+hmhNR1bd/g7Lzn3hY0Pwm2hZxSx3ETa0fW0pRm9s4gyomNsPItHqZ0IzS494EgEXQaDeMUzc5a+vNUO3Yf7X0UZwc02lJJW4dWx7eDvXl9eWxXTvpCZXV/rAJmaxJG+LN2BOu4i5nVke8hEuiyXU0gID8hBoa8hYR4DCpwWh0YK1AEMKyfMPUY8NKB4WdamZVvocO6b3Hr12sb9iDpia7x+9qgdTDd2F2BaeBkKgCpzevSMdmc99m2jvtXvRbKXI8CVoWnIvNLnrMVyNQ2jOaKs+oAM1/fpwfMLWaL1/Ci7tw4edDOCm20oOebkBW7hdoYxIt6+1xYyc2savdweuukI3THtMNIOfn7LEnrDTcbxvmrFsOZN8R6xXsTasXVsjMmSAAer5OW5iTD02Hzh33GlNdAXfGe1rD9UMEXeobaCIKHsxfzMv+MO0+LRuFZht5R2hcWsMuU6+krkWadncczhO6muiI48bN3cO+SdaSEeWVOhOsTrwCpzKANeO/64cqkD9DxD44pYdVdRDorjFw71kps0QxgRv+zn/9AMI0dTwxasN/n783S0nz9uuRk2tiGWK03/vAs9T4/XDq8/BDjIa1DrdmgZTuPQ59F+rnXPdXY9dMZNua+h73kRFy3vLJYjxDJ0b1u2uM9di7gf2b99Zj3IsvfiHTvYLRV5jiGQqIATni+VqKvHi9qOWGXmi5VpP9/9qtPo7vv306MevmvWWF8nsrOzB7Yz/jcnjwm9+8A8HzKHc+0Yi02Vq8P6ryO78mD3KykjuNmGgpiT5/rh10w7FFlU+nd+QeTcDprJ6oVmGVh58XkLPcIMkJarD3jcCuAS0hYjggEGJKq+YC6ciGCaHwTkcntA7WxAO4bm0NbWwNhFfVgFzulcX8hKteYItnktjbrktqLrOc77yllKkMLkClhOiytgWf0qD7YQgNe0eDRh6476PcD9+6wTj3HbGhaYLO9Z1o7MZVllIq54nMtKv7u+jnfOWjl1wsGDbka31DYUOdHbT71LaVnxCnFNR07oCJPVCyRqJZKCaDlj06dV62R+OXoQSMrXwe3ENCZe3zKRumoDNHOWvKjQKdHo17FjzWXQ9rd7RgQ+/o5byYCSgVvcY8dT2PY8a0pIMA090Vlvq84AXT1fxPodkGxu6FrQlpveYqNoV22hpvU1VCduHc63o++NPY/20+Z8WhZvKK8X2Wacx+T6snM5vUM7FzQ/Rfwk8jxWUUZwsw0FLSqrEfb1fYZenkR6kZTqIXDlBTRaJufT512PmcfjAEhrGEirtH313xdxe8wjGOx9+H/LYtbzPtcs2FoSk/VBwbBnv4j1LRogqQXAUI068n78reCcHkWXo2FbGiPvHo9Dx+NJ0KjoceZ4KSWFR6O+tMizjr0zW98EFrP6Mf6B+xpqAVpsLfh8CIEUzyrDXaDd2APrbBVlBDfbULLCY1DuBNuOLkMtNyEGquomuuNa1VBB5NVBoCD9HsLQhzK55dC8ZpgJtzzJ9zBUMEbmzBAgl9/6DJuRY42Y4r0t9oG+Qs8nYElCVhqovc8Dotn3iOXIWCOB4mHdUal9287yABiJOlklQ83jXLv6OgLN+tn6gerl/hBwydHkK1DD1p0/P+x7zbUzBJBl21EyJ5eYEr5rA2TL/a+ijOBmGwo0+2cmyLKsG+i3oQOAK22S9FF8rK/QQhfAKcDAFMMZFuxXpqcO0BPLc+MLT/g/oB0uonUP1+o0jaBOBLgEhOlC1h3BrMvCzHel+WPm1yIxLrbdoc9e9oE0ag8AoXZCAGzoHKq9PDeyDeRCtu36tHh1FlJYCn3pe/3jMMrtDAeNDj11Bb9LmgNjR/PMKDBoLvqyC81Pr/9VlBHcbENBzPKRD9tJRESPOKL9HMr0I4uKKBdgpsABMs932hiJz1TH7tIIAJeQoI60o8eR6vT1l+0CM3Vq/F32ZftFjGPRk4cjwisk4DTDS2Br4NxblhVvMQAUY7rWTG/btnlcML2yXUyLqAPicrSlAMXThIDykuaQsRKBsXuuDv2dFz2nIq4rHygFxgF4XK6dISDAtoO/l/rSJfYc+fc4P7OA1LaJ1oIGNZFnv4oy7pbahoLODvpnT300/cZPfA9970mPJCKtqTvtRJilulwSDl7gGK+TPh+2c52+84SjqK6JDttRd3Q3XV8RunGd2E4wwHjUIgwJfIe2Ul+mnUBfKH9QpT6JiJ7xuKPpK3feR8cdtcvQtUjs0Lw7qvQciIHYgTS772cYAIqY672+2vvbWRwBClhbXUDggjrWLUWmjqEHBFhH3tkQ91FOuCcl7ZjZ51DBHamDfuvr3jqI04TWQiXanrcdSw/+PpTmCIjN5UHSMUX8O6KxixftFJ/yOFZRRnCzDQUxkPW1ml76zMea6/o7L4Lpu5aC8kTnfeTM7Abk1BX95Ru+T/RTVxVNmyZL93BNp1zHag+oHdjMHMwJt8MvRzTKnAb4++c8lzYmDR2+cy3ef6DOcAtD+7lozM0iVpmtAG1Zt1RNRBM8hzTg0NlqNb2SSE6L0zcEUrLdnLsAWgGBEI7EW5WOiMiBv5OOfRi9+1Wn0cnHPkxc19+9viN1iKjomsnzPN5OoM7s++MfcTh9+c776ISjDyOiqCuv/+4rfZY3ROjRRfChAa4r++nPM952TnbkwOV2lxHcbEMJuZwC20YjmmgEJPB6kGEpBp4TNknrzfXHr/qaV1lY5BYfEjoRV4DfF+7XpyfejnYtELVgd30N0xgDexEa43W+63HH0Me++A16+glHDminTPO8lqRcnZI2T+QLM96WPnOHiO9qlHUjAGzws3fAL+INPfBBfclPTa8ooTkk26iAlYiI6MXPOJ7dM2y+RICuvgfTmBOuQ+dV+/03fuLZdPueB+k7Hv1wQ9Mi6y6yyyj0HGtLs+kK0Jy3EKa27X3WWl4exyrKCG62oUS0o+ExNwssKuIMdPY7c9prrp2IFjMUcERM1Anc7Zq5x3au14aGRehBC93QHGFOwC2FAKXpn/icmR9c8ctDgOX/9YNPoXPOPJketmsd1FkE7A0DhAG5sJBg4P/rhDeYQ3kLYQTseX2jvtrP/IGGlarTt4PSOyxDeEKL0ELrZ9h8ydIIBK2tE2gH8MGH71qnJz/mSHhvSBFd0vqN8KohilhWwTUAiLWVsUAfRNhmBDfbUZZmBRho3clNtMjEjjEMdp+3iPk21WVpubPvb3zRU+hvrr2jj10aKISXdQL7ELCJLGL2Pt5PuU7kmQ3NlJqAja4TOxMq0Jc7XyICF7cp6eF1/Ifdaam5taAsgxGGHlkbOGBTAylEj7w/Bfc3zVYAMJ8fhDIGu2OP0CevlwB6BMS23/PtRGmKuE0XWb8x1/OwOsa9lElHkpcPiMaDB92M4GYbSsTiEkHoIYEbML1yOnLoO2RhGMigXOYk6uM6QuDPFuQ/f9pj6J8/7TGwjv+Myn3JrelenXI70C01u7YVwY95GuefV0OFVQQ0LjIXhsfc4HaIYgk1I9YUSyOmRdJo6+TN/rhuon+zyQdGGxoHuGo0X+A0mnYHzjs/uNy/R17P/5/XaelbgMduwZpaLCVFmZ41YBk3VkABgGaf4LlqwH+wuqXGreDbUGJCMLIYcH1RJ6DR8noo/sOa6aNCOFJn/kU83Lrj0dN/H7J1clF6lg8acf1S/7l2YhbByDMrt7MIaIsJhnJf/H9IeHtWi+HjwH3ndrFAy03GgtQJKQDAYrEYmEZNx7KEO7/qAl11vQQ4crJ1cAB+wCoVW1Pzz4+hgMx/joAPqXmCYqnwO6fi/w6GMoKbbSiDgUsoLifQV8Ay0E1iVlfnXPHihDQdi2hxyxIWwwHQInXYd48RQuHV/l4UNEa07sHPdYH4gJgwXU47wmIRWC/5reCyX5znJgcq8u3q+h6N6avdlWL7Qhq1FvARoTNkLWA3GW53cN8Z9w5vq7QrcZlW5uVZbhagpy63M68ipoE6qpMD0Wg+HEx5bkZwsw0lNtEDi8ppU/ZVrsP/hxmoP3m9dnTfvEi6528nNDYBOBYRsOW+huaysAIS993Wwf2ItrcwlilHz9KeR2gOwypLswy0/9Pz3fZ/xGyLfvqMaNTD0+tjgYJ3rKS6/f/yoGiBOTRPu0uaU/p/VQHIZq3VHOwuKQ4oMrattnSSoAdXwe5P/WnrIxd6BHwfDGWMudmGsiVuEBeWxiZapSYvimdBmqylCdMn65SZfIwZ8HY8erYCuOB25tXglgUal6dBR+oMfa7ldhbLc4Pb9PrKPev+ZGvArGfX3vxDT6VTH3s0vejpx4G2cbuDn6ub7t+OI69RW1AUO0IkPw4UY7HIOkRB0JhG3C6iMR/Hxvv26iznvQ5OSrqQxbT/PmRnlpUB/lyqwLPTn7n+V1FGcLMNJRb4OVRwzw+S+P9y2pie/CW6FzHRDl7EC4wfLdQcPYtsfUagDWlK9r6hc6ZMo28BGjavFsupg+vzMnxcsEroeAxOUy5vx9OPP4qefvxRjMj+67ISDVp3sF2bOugZCezkphua6bn0rJE7NWY1y/OhSdMEXLQpl1auzhBX7/zzfPCuwC1eL0MVBjefElhTuZ1U+Dy/gwfcjG6pbSiR+IChQnmRiU4UO8sI/S9Ht1ctQvdQYR4bP6ZnOFPx2sG08bKWea6LW8TKNFYD6yzyzKRAw+3ETOhD63j0xJhueg/6UMpF+w9p5pkkaQgEV/p/7J8nHH0YrdcVPfJhu0TdHI1Ddtyh9xLLzA2riHaiLtrSWsgaDgbwz7x7C39H7RBFrY+4ndhutnI7OHAd/+b1EeBPOcV2gNxiBxG2GS0321FiPtoAQ60DdQLttP3JOiiJ3lALw2JxH7i+186ygNRCeW4GnwqeGMbsdyBrbq7eUAG7yFhDRwkMtADFUs4vIBgE080ASecwytx9w0G90zdYrzoPEgIgSKN+308+l775wIHuUN5lgXhv+/u0afzND4GknERpDTXZOrF1b2nMtZNzlZXaCSXYDGRBj8RkiTkUOnInssbltXyeG/u/N/zAk+nTX7mbnvm4o937DoYygpttKEOZ5WIm/XId/r+IW2phC8PA07NL575U1fJcIyHBNOAcmhw9udOe82174KpcZ1nzaqgmukiem5jlBtcf2g6vh8D8YpaboTRigSK0bpW8j/dx/NGH0fGz84/0/0qgIEKj5S2+Oykq8KoqXidPY7mdmAtu9pmZMMjapsvQ4Poh88P2VW4HAf1ccLp+L3w8P/Ldj6Mf+e7HmfZy/a+ijG6pbShDNbhF4iciAoaIoXWY50b2FxEMuXqDTfguSLJATBcp8J06IWYQedZc6Dh1gAYXYcQUeB6ROK3h6QO8OrhNt50FQAlixLbOsPWSA5K9O8ret4g7Z97nYUFOrk5OmA8TsP78aD85P9FzOdduCFgGrZglN1huSQ3hVVFr9ULgO2SJx/3KOgPXePc+ZbtVVQHeH5EB+PuqywhutqFEzPUSlOB2IoI7MtF5veyui5SlMjNj+X/8LbGYPlFngIYSBVvLsu6E4gqcOmvouYYYMf7u1lnIxbN8Qb1InpvBgbihDNKZOawY+hBLgf4u2y3PxVByNfDMtAur1HaExlJgNLYyeWu+/A45XVHLTUl4Ry0Hi1mAArwqEMwdmmf/b3vnHx1Vdfb770kyM/lBMgHycwgJEQy/goEEiwEVxZorbwERr6K4/PFWrFSxcrW3wqsW9HZdXG21rvsq/lhLrbauylrvq75dC2/buIoWyrVVCClil8WaArVBCtWAUn4l+/4RMjln5px9nj1nz5wzw/NZK2smM888e5+zfz372c/eR9EAUvMQJhsuTn0U9X7wOTdnGbrc3OqDkHvHZx9nYP1MRY97vu1lVO4RJX6CoocuIze2VPWoxgd42q2lHJCYet1LNQZJnh9bEWKe7d875cnOmKfMhEnxEhQj2sGooXh33HQ7l5m7TKJny6zby1KJ+TuKjGG432vqxEfFkEvWY6/TScaLx0W13ak8P87u3id7DQ2pXoDW5/oBGzcZIB0doZfnHZm/s7PUE9dkacGYtM6A4t1xXQ8nGlKU2BAvB2ypDrCJ+ad3oA4y5gPYHGd+BD0kI8ldD6XuUQZTyiCky0Nn/s6us6cNFk563WVku1jyJYGe6jNqDzKEfKSi1/yd3PhM1umUHj1WRq6HYgzL5EheM9N7L/WMYsRbPEB5Vtl8m+tJPNNIdj9A9NJlGjZuMgDNcFHtiFI3kszfJTZm+63LjmqUZl66Yne8BuKSBnPSvabnGYDNcoP9b5J1u6ev60wOT+flEPJMM7bc80MxpKz33l5m8LtE48ZehzV9NQNM5XC1xDZFef6UrW5TPJ3zGUf2eTFj50FyM64o93Awfff+g+Id1rWcRFomc9DpmBap7B3uvTZvqHMdshszZAZ/sm7T+wC5bti4yQDWTs5dhjSj9WAkDcpZ5UNnMmb/LCT3DoMy0/Ha8ahu03ScVTmk65wfBz2EQdhybHl8dilPW2ceVVzxcj2U/Jh1uufHuSNUNBo9G/pWGVqsivm9F+MzWT7RcDBs7ms8z5LBRH17tLye2ZUdyWiTPZsuLu8sQ4kvohh7pDaVR9BDuDZdnj3Vdqeix86Qy0+4fpph6d5e/IC3gmcAdY+LvR6DMOulNGBzPob0VJdFcHVrHWLlyVtJKR2GNOjYphE5ycjkKC5SUmeQl9yYpXo8zLzy8wx8fU4jjh4/hfLiEADTvfd4zg2lrK0yhLQI98x5mYxuoCa+t+bHPm9WGTWDTGVgVPdS2etVv/fWz+zajew5T07pU5cKnPLYUhdFU/UILDivNinfjhMIsmFJuA6K4aKgR6aL0leZf+s0yaRcv+qOv3Sfc2POt6xNJOu2qH4TZQAAK1tJREFUT8dv2LjJAOrWd+qDKUUGSH6ejmEYePTaFosMJeZGxXDRdWgdZbYqy5PdTFiaH8LgKet4v7twiq1u6fIaYblA3ZuSuh5LZ+3kATK99xarQh+EBt+7Dx75kvJxmqVSvAmJ+bXKpNZenZanZHmV6ZZPBtwH2PLiMH71P+Ym/C7592YoA7f5O8pZWpQBlnoml5sxIY3dUTZ+U5eh1HPVZVync27M74c+Gj6p2FZtUppBMm54WSoDqG7J9BZ0azYS3AdPihdEVweqy3NDd7NTZLx0KrR7nfw7uV5qHi2dLGm5kyDjYdlU+Uwdp+siHJKmy7gAgLKiQY9a9MyrrmVU5eUCh9gfO0+BymBO9kIo1GGVOBiKYem0XA8MLzXLY+3oxp5MjtTnUTzoin2Mt75Ktc8bfE0858b8XeISLbUtBMi2Yc9NJlDtiGlxOfYylKUrsy5KpZU/aZeux+tgodKhmuVlMpQOQ9apuumRyVLX9Z1UqwYd0zpZd8PaU0dM0KN+XQ56HOQTeWjRVGzf+xm+0jjqjKw87UR9zuXjnr7dcp/dOTdVpREcPX4aIwoLLN/R2rizDOU+2uu2puGU/oCgPVqB5pWR5IcSx6bQD8vbs5ph62zoE/KjvNvRXsjchyUeOWDWO7I4jM+OnTIZ+tbf2Kdvnxe/YeMmA1AsW+WlAdLg4d4507wy7h2GvAO1vspkZLoo+aHEhqg+LVllHZsCafB0SMeavv17u7TkeiidtVqH7mW5QtWQUtmJZMc5lSNwTuWIpN9JB1PFa01pWcqUyH+smI3jp/tRHC6wypDauP6BidQWDQPuz42y5tWO4Rg1b/2ZNRBYXmZe71kmPZ3mj2kP6bSWndnw+fdlM/C3z48jVl5kK2ubR0Kf6wds3GQA2ozWvdNXXz6Q5WnwVeaVUJnB6vTceDrnxvSeEvfh5YAtrwMDvQOV65HpIs0gSW52gh5C3bNbYpHq8VCGFMPOVjfhZG5dbdGuDtnNqOtHF1t+pzIIyycV7vXcXjfFmKCnT1kGIvUxZA+DXEZu2Cr2DYT6QdnJSEnLScYwDBgGIETyhNScxtRYFFNj0STdlHIelAuOdcMxNxmA5HFRaHiD8pRB2b0z8Lq9Um3t31mPiudGbpCpzZg8eTzyzPfaMUvJv1PsQL148lQ9HF4CJK0GEMVwsRVJwZNkr8dyfxR6OorxaZktEwxLN0+BWScl/fjSAsEAS8eSAm3io0kG9H7I69K38sSDUPnS7YmnBvQmG88UA5VyP8xtOjjGDXtuMoB1gHGQyaM3vMH39nooRoL5O0ojpjUYWVqKDcSlM6DviCCkRVnS8LAVW6ab4hEbfO8uoyN+hRrL5MVoVN8FZq9H1bCT1Zlk3UZSGk4yMt2UPI6IFGB8ZQlC+XmIFORZfud1wkA7T4k2MCanTzGchgwwdz3eJ1D0fijxvV1aXuOUVLxEgzqdZMxjB8UAstcDAFNqy3DgyHGMKglbZL337+5p+wEbNxmA5nGxf2+GMlukdKjmfNBibmQyZ/IjXQ+3pinTA7gbHOQt5Zo8Hl4Gc9nv5Ncx/KptC7dLJ0s1trzEKVGWX6FcPk75MQ0MSgO3PO3ENGnLhvYy+XkGfrHqYhhIniV7nTCQtlmn+FwgFe8jbenM2wBL6WPMX7lNGLx77SiGFN3YSnyvqgcA/vObs3F6YACFoXwAav2Q9L7C/Z75ARs3GUC1osvO7TCMoXVTQoMhuKO9nnCqJuMoojR40gcdLx0GRcY0eCqMDDRjwl1Gde3f9WwPTcYnQA1sdEqLcl3u7YVShjLdXr0A1OWCUII7V8XY9DqjpgTZ2uumGwG6DBevW8FVAry9n3NjL6+aH4qHkHJ0AgCEC/IQNkWiDE9evd1XSn31g0DE3GzYsAGNjY0oLCxEW1sbtmzZQvrdb3/7WxQUFGD69OnpzaBHKB26+WO5G1kuQ5ktArTDmeJeGVIHRtAjM6Qs8k6NmG5ImdOVy6TeqVhngnoHBrVZLzVWRq5Hekw+6Z7Zv3fODyXPFCMpdRn79N1/o2pEq/T7upZqKDNq6qw/STfBcFIyXAjGhM4zfdwnUI5qSHpohhQ9P3I9tD4/kSGbWtemkoDZNv4bNxs3bsSqVatw//33o6urCxdddBHmz5+Pffv2SX/X19eHm266CZdddlmGcpo6Qx4XgDaYyg60cuswKI3BnB5pgCXlx+tATTc4ZI2IYnCou4NTl5H9zuuSoHKwn8t9petJPS0VY0smQ5owEAxU2e8o25MT82KRMb1Xqh957unrioWw5pGaQzXPDWUDAMmLqakfAtyD6722KYr30fyxl8mJGTUPMqUODY0B3vp3P/DduHnsscdw6623Yvny5Zg8eTIef/xxjB07Fk899ZT0d7fffjuWLVuG9vb2DOXUG26DFXWgdKtsqpHzlEcAeA5sJAzUds83SSRfueNxknFPy9IREgzSlGJuPM6YKJ2TnbyzHvdylslRPCWUZTLKUgll+TXVGa3yspRT+nnm9OkZmNtUiYbRxZg3qUqSvrteUsxNygY63QCjpE8z5CjX6ihCMiYMQn5UvZi0+mGfFi0APzUj/pKJlWipi2LR9JijjIonS6WNZQJfjZuTJ09i+/bt6OjosHze0dGBbdu2Of7uhRdewJ///GesXbuWlM6JEydw5MgRy1+mceuMqBV0uPE5p0WRKRha4iHF3MjS0jNQq7hx5Wvv5vepD8JWD5BTWqkNXrrWulUMILN8soz8e7oe987a4qH0ZCTR64tMRvY7+hZqexmqNzaRC84Zjbf/56W4uKnSUUa353VQJz2Pw3VPppsio6ePIS19q3gqCO0OgOSxJ/bv7fIDeD3nJjUjfkJVKf5r5YWYN6naUYYSCkCR8QNfjZtDhw6hv78f1dXWm1tdXY0DBw7Y/mbPnj1YvXo1Xn75ZRQU0OKh169fj2g0Gv8bO3as57yr4tZAqRVU1zLQ1a11mDNhNL46WTY7pHcqcmOL0GHY6HTKDyUtgDrrl6cl02OdCTrnKVm39VUu437vqR4XL6542g4mkzhpRmuflLrhYq/Hss05jefceLkfqUJbLrDK2pKyAUi5R3pkVIxvXe3FqxdTl/Ft7Rf1GvEU1JYN2bhJIrHhCyFsO4P+/n4sW7YMDz30EJqamsj616xZg76+vvjf/v37PedZFdegTWIF1eUmvPDcCry8/AI0jC4h6JFUbFLQorseWmyIqh57GWW3spOxRXAZ2/+O3unTOnT3tGTp0WbhFD3u957iodQVsEkxQGS/o3qynAcmd5lUIfUDZ76k7DJKfO+a/tAZOhTjinjkgRO0du+uh2QAxdumux6ZnKrHhSLjZQdiqqgZlnrT9oqvW8ErKiqQn5+f5KU5ePBgkjcHAI4ePYr33nsPXV1dWLlyJQBgYGAAQggUFBTgV7/6FebNm5f0u0gkgkgkkp6LIOLWsCgduvn30iA9GHB7pgsFlVgZisEhbyBmnfLZEKWzlOVJ38zLveOxY3im4y5Dc7PL6sIwbgYHfbYq1wPIytBe3lEPySvikJ8UY15UvBKJeXHKo/ZBh2QgW19t9VjanUL6FMM63u4pfYO7DGXpyvuSPkWPWv305pVRNaR0G9H0voGXpUyEw2G0tbWhs7PT8nlnZydmz56dJF9WVoZdu3Zh586d8b8VK1Zg4sSJ2LlzJ2bNmpWprCvjbtwQK6jhLqPLTajiKZHH7ijo8WhIUWbrlA6DMquizM5kur0uLaosCSa+t0uLMsAAzmVN6axpW/Xt3zvmhzR42OuR6aZ4R2Xpp+oVoaDiXfLqMbVPn25Yk5Y0CHXYc/+h0Ka8PrLC/Km3g/5MOn2oZ/kK91W3YeUV3w/xu+eee3DjjTdi5syZaG9vx7PPPot9+/ZhxYoVAAaXlD755BO89NJLyMvLQ3Nzs+X3VVVVKCwsTPo8aLg1YmoFVRsYFTPpoEdXkJ5XL4TqIOxslNjLW/W4y1AGc5lumuHizbCkeVwGX2VBr6R7RjjtlnZfKZ2+mozaOURyvdT0KUZaqkw48xTz8aanmSdCWlYmlIdct7OMyoYEijFBM5K8GVIqRpJMTmU5WKZH1UukErhOobVhJGrKCjFvsnPQsV0+goDvxs3SpUtx+PBhPPzww+jt7UVzczPeeOMNNDQ0AAB6e3tdz7zJBtwGZoNYQXUFo1Kgrbe6p0UZqGmdE72zlOnSJZNyvILSLNNZRsUjJpNTCfyU5Un1njl6ZfLs31vTMut00JPiwD2icLBbLIk4d4+WGbVjHlOrHxQ6ptbgd/92GapKnZfbKcvBqR5nQJpoEA6JI/UNCfpkerx6mVXyI0vP4jElBM57iz9zz0+qTKgagf+3Zh5x2TBY1o3vxg0A3HHHHbjjjjtsv/vxj38s/e26deuwbt06/ZnSjJtRYp3leWuglMGKAin2IC7rrEflqb66DClZeqR4DbOx6aHjsUP39nnvyyfuaelahqF5zdT0kM7LUSifaWOiWLdwClrGljvKqM+o9Xf81WWF0u+H2yatXNPl3fI6MKrIyA05q6y9DKFNmb6k9B8UT6fjTkaSB8jdSPKCm07KhNsPAmHcnA2oxNxQGh+lEXut5ypLTpQZnK4OzOvuD0r8iKUDI3gPUhkYKEGLnj10lmt10JPnXqdIHheS0Tj8hfPWdHt5VT0WQ0op4NvALXMapTKkpQnCPUsn8TpEftBsCroJdYZWh9310NoLpY9xT4sy8TAMahyMgx5Q6lByuqmklU4oJ2r7QSC2gp8N6DvnJlneSZeuZSldS0VeZWY2jMTk2jIsJJyoOajTIS0HeSc9tKUrxyzZ6KZ3+t5nvcnyiUQK8iyvqepR99w4paZooJI6fb0dr7UOUa418x2/iufVTS5Zt/tvDBBklLyY7vmRx/W550dX/0rrP9xlKG0h1TLUBcWI9gP23GQIt2UXanyArtkQhaJQPgCg8MyrPC33hu415qaqrBD/9+6LHL83K8ojz6oonYq9BMV7YEdxePB+FoVl99W9w1CZ9Sa+N9Mci+L2ueegrX6kox5SnJI53TTHGagst8n0pArljKN0xtxQUJmcAGp1uLwoPPhaHJLoPpM+oQ5TvIZel6UoHqDmMVGUhPNx/rhREj3WVzvMXhmKx4UyLrgdwumWp3QRNywD5rlh4yZDLJ4xBr/r+QcmVNnvbqBuK6YYAbpibm5sHwzqvrq1zlFGbc3cOa14h+GxddI69OS8OenxKmPH4hlj8I8vT+Lamc4nZVOW4FSfHeTYgeYZWDN/siTHtA5UVxA2xQCitJd0Ghd+n3NDQfVAOpVb9MCCybiiuQYXTqhw1S0PznXvP4a+ogQm07wyjiJoqi7FzrUdCEl2dajkWSan3hbs00o1bkoXulYKdMPGTYb4t3+RDx7AYOUVQp9L1Kuh0DC6BA8smCKVoc3O9BhAFFTSkqVH6VQMw/69GxUjIvjOFZNIsqR7Jt3CrWeAN/+S5nFJ3ZuiskQ7IGkvBiGtVNFlpKUT2kRo+L1K/agbWYy6kcVSGdKkJh6P565HPulzT4tilACQGjbmfFD7GNqGhNQNoKB4CANm23DMTZCgdAbDDUsmo8dQoKASgJfJOCGpe1rxSbt+dCq0Dt09bV0DvPrODkp+KEZJ6nUmncaFrtiudKIrNiRVVNq991gZwrUObU337B2mG20AbXKkq73oPueGgq6VAt2wcRMgKEFxw7N1gucmA5WNNMAOzZgItc3rIEQ7OZViuMBVhha7kxpqbnbaDNKT54bk7bJP10kPqdMneQRTz0+qmI1PytJZOraCu6ESz2KW14XK+Um04y+c05pUWwoAmFxbRkjLWQ8FlXZHrR9edl357SHkZSnGlcGKaf/Q0CFIwblw7zB0QQvks8rK9OhblnKWMWeDcsCWHzEVlGcHqdx7NznX/JA6UHdDSutyjktbMBuxume0NG+C+X0wB530PpfImg+5jLMeyr3+b1Nr0P3dDkQlAc66Jn2UoxNUtqYDMm9oss5kPfY6MwUvSzGu6DICdO2WokDKM2mgdtdDYejXXr0ZQ52KdOZl2RGh92YbhA4jfnQ9xWsmuQ4KqjuYnJJS3f1BCSKlnHOTvgcKussk5iVTULboDhsO+tNXuUc0I16eSZlhA1jbghfifYxsKW1Ihjjx8BJ/luqRFLqgGJ9+wMZNgKA0PtIyUAbdhLQzbKyvdlB2dlAwGyWOMgquXurMXPeyAyX4UWVnmPdYJkWvjIdtq9SZqPuylHueU2VIG+V4g3SkT4Fm6A++pmPZjLKxQSWP3r267mlRSM9z8JwmUPby1vy4y6QTyrKhHwQsO2c3tMGKMBsi7EDQBc09794ZUGZDFCgBiiq7eiiB225yqTA8MMhkhjpQdxldHjGZLtX4Da+PTXAbQDKxbOj1tOx0QlnCpnpFUoF2mjpdRpdR4vVStXnPCfVT1/Pa0gnFg+wHbNwECJUYCtLZERmwbmgzFOurHbo7MIo3QyZHCXTMxLKH/Jwbq6y9HqtsqigHAjt1xJYdVe4zUdrBj07fp8+4UIkVcZNLF8MGmLNMOndW6gqKj098NHkfvetxz49qzI3bJAtwnugEJ+aGjRvGARUviNcDrXQx7NZ2llFbYtGTH8pzaGTpqcZUpMtzQ3qeDuGcG10dukwXybghDPjU++o2WOkKprZDdfDy55wbgqF/5jUdfYW+50/pMcAo/SsFlSVrSj8t06W6HOzPrrz0GcheYOMmQMTjTiiDlYctsjpRaehen5NEgfYEcoL3wOX7xDS0x3Qoub4zYDTmuXegKrFMie+tMvbpOsm5ed9kMqlC8bKav/N3K3j6250sfflmg6FXgowuj4umiGKKJ1ruhTcbv+4ylOv3w8AoOJNoQcCCbngreIBQGVClFT2DnhvKbCi+JkvYteE1yyoDviy9mmghxo4qwvhK+8dlDP42fYOnihfP69OSKah7XNy9O87LW2qeG/kAMniKsW7jgjJQptOzR2FMedGZ10JHGV3LlnaonHNDkvE4duqa9CktxcuCqQmTI8rSpt8ewvbxo/Ev02qwqGVMxtOWwcZNgKB5QSgNy11GFyozFK+dnEp+qLu3nO5RYSgfm++9hHRyauJ7Hah4xEgufc+jq3sHqs/NbkpVWmfkeuK/FyINy4aUOp0sn0nmNlXijW9dhPFVJY4yQ9lK624p0rKYTI+e/ky3oe/1kTPWc5gc2kIeod0RTlxPJ6WFIWy4oS3j6boRLD/SWQ5tHd/6mqqMLnQFDeqKE1KKVXFJqyA/j7yVM12eAfmyB32A1beN1j0/ABwPRzT/nLKcJItZmNtUhfpRxWiscB680x3sSF3+9GHMgWEYmBIrQ6TA+enz6Tw2Qi2ehmIAaTJKNHluvLY7ijdUxfhzkzvbYM9NgKBtH6R7dzITUEzowPLo3h3vy1JDngqCjKYB36xTFyrBoJkILlfxJMnkLB2xx90fj17bAiHkJ3oPnfqtu3xGRAa7zpKIcxdKMeT8Jp3xefEBnhA35XW3pUp+vHuAhvLj3gdLr4vglSkO58Mwsr+e+QEbNwFCaS2XUIeDElBM6wwGXz0/1I4QfKh7wDfr1IWKkUbx7njt0FWWFgfl5HpkulQ8Hm7XRZn5psK4ihL876um4ZxKidcoz/1a/Sadni1aTBTdu+P1HBXdMTfed4HBVaa8OIwf/vcWlEtOX6Yc03A2wsZNgKBU9hljR+KPvUcwscb5AXH64izokM7dIQzCunZLUQ5X0zng+PJcHpIhp6dDH571OsuQtosT4gMMgh4q6fRiLptV75K2/fsgoWvZ0l433SCmyAQl5oYyWaPJ0PJzdVud9Pt0epCzGTZuAgSlsj+4YDK+c8VEFIac19F1bZ2kEJ9VSTwMxeHBvBaFJa5V7a5niQz0pJVOzw2lcwyduemhAuebP3yt6TcSVL0yznEGJhnPO2TO6PSlzzfPqIM56KTT+NMVH6irb9C1FVyXt1pX27TEqAXVivYBNm4CxPAatUzGkBo2QHrX0ZPTsqZpx6KWGA59cQJLWp1nILp2RGRyZ1Y6dylQyvCicyuxZMYYXNXqvAVT16M4hi6PunvMeVnKLO9kAJnf66kPfp4z41f6FDITUOysO1oUsrza67HqSxVdD86kGMy6lpVV8pP4/myHjZsAoWsWNfTrTMwWh4OFndMaWRLGvR0T5Xo0zc4K8t0HM12zeYuHQfO9pgw60aIQHls6XapH1xKlSvxE4nsz1ntG0aOQSfsEpflJJ9mwi4WyrTlVKP3QikvG45zKEbhyesxRhmIoUNBmJCl4MTOx8cMaoxbQiuYDbNwEiEw2Pl1oW04iPKKBQmv9SCxsiWHepEpHmeGToL12KmadnlQ56g5KnAHpzBLD/r2ZwlAeptSW4fTAAEoclimtetJvlKWLbBh0dC2N2Ooe8ppJVFeMiLjGLmkLis/T1Rbcja2q0ojl1Q6KN5SCzhi1XIKNmwChz5K3vqYTXUYJZY2aQmEoH/9+/QypjG4jUoeuRLQFAsf1edNTMSKCUL6B2qjstNthQ0L2xO+fr5wzKO+QKcMwYBiAEDp2yFjzlkkoy3R+o2vAt9Ud9wrp6hu85YcSj0fSc+ZVds/GVZTg1Ttmo+7MKdF26DK8qSd6n22wcRMkNDXidAYJJqdlfU1djx7XMw09hkN6z7nRo1dXXRhZEsYvVl2McklsRHlxCBUjIhhdEpbqKpBFn5/BACAQnOtPhWyYUVNOGE8VyhIxBf0xN970TI6VoTRSgPPHjZLKtdaPlOdHWxs3vw9mPfMDNm4CxNBJomHJ7hcKw4HJ6a/oU2KDW9In1zpvTaeQyRl2ejw3nlQlMTUWRbggD60N5Z706NwtJHvOFjBYfzd/e258F5cX8gwDA0JomNUO6fOcJWUoMUh+k85lqaXn1+PYyX5cOrHKk56gebTHlBdhx3cv91zPdZ+7A/A5N2bYuAkQ917ehG1/PozpY8s96aE8X0kXC86L4eKmSpQVOs/oKWQyTkh3Zwnoj6loaxiJXes6pEfnU8jkfQUGnzOjg1B+Hk4P9Gsw9PXEa6RCNgw66dxZObepEnObnGPfqOgOvNXRFnQY8DVlhYgU5KFhtPNBkBTMlxPUXXl+wMZNgPjqlGp8dUq1Zz2ZjjPwatgAej0MblScCfKrlAT7UUj3bhivhg3gb8yJF75zxUQc6DuO6jLnGB8Kuk6+ToVsGHSyoX7ojrnJ5OGmMqLFIWy579L4ozxSJZ27NrMZNm5ykEyec6OLTHoYxpQX4T+/2Y6aqHOwH4WzPaYinfzrnEYtenSdbZIK2RAL4WdMEpV4GXoOTA5ev1hV6s14BxI9yJ7V5Qxs3OQgw7sCsqemZ9oga2uQBwNSsMTcBKnHNOGn5yII+LtbKr2ePS3EvRn+ZkNGJDSYuYjHJcps8FKlQjbEdvkBGzc5SDbMxhLRtXMgk2TDyaBDRtfZatz46bnKhnNusqGvuO78sfji+Glc0zbWk56hOBnKbr1sgo0be9i4yUGC6H51Y/rYckSLQpg9ocLvrJDJhk5lZsNIXDihAgvOq/U7K76QyeesJTK8EynjSZPRdVhkOmkYXYL/tbjZs56OKdX4fc8/cGN7g4ZcBYgsmGT5ARs3OUg2ul8n15ah68HLA7u8Y4c5p0G916WFIfx0+Sy/s+Ebus42SYVs8Ir4uVU+01SVFeL/uBzwmY2kc9dmNpNb/jkGAHD5lGqMHVWEmeNG+p0VJbLJsAGsHQn3KcEkk6d1J5INS63ZYIAxcrLhGWZ+wJ6bHOSGWQ24YVaOuV4DSDbshjnb0fXg0FQoLSxAfp6B8mI9Z/+kg2xcwmashAvyUBzOhxB6jo/IFdi4YZgU4RlT8BlVEsbHh77EKJdHQqSD8uIwfvyv56O8KPNpU8mGmBtGTig/Dz+59SsQwvvp9rkEGzcMkyLlxSHMbarEiMKCnNuBkSv8aOl0fHTwCzRVl/qS/kXnej+hN53MbBiFidWlWNgS8zsrjAd0HG2RaxhCCOF3JjLNkSNHEI1G0dfXh7Iyb89EYhiGYRgmM1DHb55uMgzDMAyTU7BxwzAMwzBMTsHGDcMwDMMwOQUbNwzDMAzD5BRs3DAMwzAMk1OwccMwDMMwTE7Bxg3DMAzDMDkFGzcMwzAMw+QUgTBuNmzYgMbGRhQWFqKtrQ1btmxxlN26dSvmzJmD0aNHo6ioCJMmTcKPfvSjDOaWYRiGYZgg4/vjFzZu3IhVq1Zhw4YNmDNnDp555hnMnz8fH3zwAerr65PkS0pKsHLlSpx33nkoKSnB1q1bcfvtt6OkpATf+MY3fLgChmEYhmGChO+PX5g1axZaW1vx1FNPxT+bPHkyFi9ejPXr15N0LFmyBCUlJfjJT35CkufHLzAMwzBM9pEVj184efIktm/fjo6ODsvnHR0d2LZtG0lHV1cXtm3bhrlz5zrKnDhxAkeOHLH8MQzDMAyTm/hq3Bw6dAj9/f2orq62fF5dXY0DBw5If1tXV4dIJIKZM2fizjvvxPLlyx1l169fj2g0Gv8bO3aslvwzDMMwDBM8AhFQbBiG5X8hRNJniWzZsgXvvfcenn76aTz++OP42c9+5ii7Zs0a9PX1xf/279+vJd8MwzAMwwQPXwOKKyoqkJ+fn+SlOXjwYJI3J5HGxkYAwLRp0/Dpp59i3bp1uP76621lI5EIIpFI/P+hMCNenmIYhmGY7GFo3HYLF/bVuAmHw2hra0NnZyeuuuqq+OednZ248soryXqEEDhx4gRZ/ujRowDAy1MMwzAMk4UcPXoU0WjU8Xvft4Lfc889uPHGGzFz5ky0t7fj2Wefxb59+7BixQoAg0tKn3zyCV566SUAwJNPPon6+npMmjQJwOC5Nz/84Q9x1113kdOMxWLYv38/SktLXZe/VDhy5AjGjh2L/fv35+wuLL7G7CfXrw/ga8wFcv36AL7GVBBC4OjRo4jFYlI5342bpUuX4vDhw3j44YfR29uL5uZmvPHGG2hoaAAA9Pb2Yt++fXH5gYEBrFmzBj09PSgoKMD48ePxyCOP4PbbbyenmZeXh7q6Ou3XMkRZWVnOVtQh+Bqzn1y/PoCvMRfI9esD+BpVkXlshvD9nJtc4mw4P4evMfvJ9esD+BpzgVy/PoCvMZ0EYrcUwzAMwzCMLti40UgkEsHatWstO7NyDb7G7CfXrw/ga8wFcv36AL7GdMLLUgzDMAzD5BTsuWEYhmEYJqdg44ZhGIZhmJyCjRuGYRiGYXIKNm4YhmEYhskp2LjRyIYNG9DY2IjCwkK0tbVhy5YtfmcpJdavX4/zzz8fpaWlqKqqwuLFi/Hhhx9aZG655RYYhmH5u+CCC3zKsTrr1q1Lyn9NTU38eyEE1q1bh1gshqKiIlxyySXYvXu3jzlWZ9y4cUnXaBgG7rzzTgDZV4a/+c1vsHDhQsRiMRiGgddff93yPaXMTpw4gbvuugsVFRUoKSnBokWL8Ne//jWDVyFHdo2nTp3Cfffdh2nTpqGkpASxWAw33XQT/va3v1l0XHLJJUnlet1112X4SuxxK0NKnczmMgRg2yYNw8APfvCDuEyQy5AyPgShLbJxo4mNGzdi1apVuP/++9HV1YWLLroI8+fPt5yunC28/fbbuPPOO/HOO++gs7MTp0+fRkdHB7788kuL3BVXXIHe3t743xtvvOFTjlNj6tSplvzv2rUr/t33v/99PPbYY3jiiSfw7rvvoqamBpdffnn8uWTZwLvvvmu5vs7OTgDANddcE5fJpjL88ssv0dLSgieeeML2e0qZrVq1Cq+99hpeeeUVbN26FV988QUWLFiA/v7+TF2GFNk1Hjt2DDt27MCDDz6IHTt24NVXX8Wf/vQnLFq0KEn2tttus5TrM888k4nsu+JWhoB7nczmMgRgubbe3l48//zzMAwDV199tUUuqGVIGR8C0RYFo4WvfOUrYsWKFZbPJk2aJFavXu1TjvRx8OBBAUC8/fbb8c9uvvlmceWVV/qXKY+sXbtWtLS02H43MDAgampqxCOPPBL/7Pjx4yIajYqnn346QznUz9133y3Gjx8vBgYGhBDZXYYAxGuvvRb/n1Jmn3/+uQiFQuKVV16Jy3zyySciLy9P/OIXv8hY3qkkXqMdv//97wUAsXfv3vhnc+fOFXfffXd6M6cBu+tzq5O5WIZXXnmlmDdvnuWzbClDIZLHh6C0RfbcaODkyZPYvn07Ojo6LJ93dHRg27ZtPuVKH319fQCAUaNGWT5/6623UFVVhaamJtx22204ePCgH9lLmT179iAWi6GxsRHXXXcdPv74YwBAT08PDhw4YCnPSCSCuXPnZm15njx5Ej/96U/x9a9/3fKw2GwvwyEoZbZ9+3acOnXKIhOLxdDc3Jy15drX1wfDMFBeXm75/OWXX0ZFRQWmTp2Kb3/721nlcZTVyVwrw08//RSbNm3CrbfemvRdtpRh4vgQlLbo+4Mzc4FDhw6hv78f1dXVls+rq6tx4MABn3KlByEE7rnnHlx44YVobm6Ofz5//nxcc801aGhoQE9PDx588EHMmzcP27dvz4rTNmfNmoWXXnoJTU1N+PTTT/G9730Ps2fPxu7du+NlZleee/fu9SO7nnn99dfx+eef45Zbbol/lu1laIZSZgcOHEA4HMbIkSOTZLKxnR4/fhyrV6/GsmXLLM/sueGGG9DY2Iiamhq8//77WLNmDbq7u+PLkkHGrU7mWhm++OKLKC0txZIlSyyfZ0sZ2o0PQWmLbNxoxDwjBgYLPvGzbGPlypX4wx/+gK1bt1o+X7p0afx9c3MzZs6ciYaGBmzatCmpoQaR+fPnx99PmzYN7e3tGD9+PF588cV4AGMuledzzz2H+fPnIxaLxT/L9jK0I5Uyy8ZyPXXqFK677joMDAxgw4YNlu9uu+22+Pvm5mace+65mDlzJnbs2IHW1tZMZ1WJVOtkNpYhADz//PO44YYbUFhYaPk8W8rQaXwA/G+LvCylgYqKCuTn5ydZnAcPHkyyXrOJu+66Cz//+c+xefNm1NXVSWVra2vR0NCAPXv2ZCh3eikpKcG0adOwZ8+e+K6pXCnPvXv34s0338Ty5culctlchpQyq6mpwcmTJ/HZZ585ymQDp06dwrXXXouenh50dna6Pmm5tbUVoVAoK8s1sU7mShkCwJYtW/Dhhx+6tksgmGXoND4EpS2ycaOBcDiMtra2JJdhZ2cnZs+e7VOuUkcIgZUrV+LVV1/Fr3/9azQ2Nrr+5vDhw9i/fz9qa2szkEP9nDhxAn/84x9RW1sbdweby/PkyZN4++23s7I8X3jhBVRVVeFrX/uaVC6by5BSZm1tbQiFQhaZ3t5evP/++1lTrkOGzZ49e/Dmm29i9OjRrr/ZvXs3Tp06lZXlmlgnc6EMh3juuefQ1taGlpYWV9kglaHb+BCYtqglLJkRr7zyigiFQuK5554TH3zwgVi1apUoKSkRf/nLX/zOmjLf/OY3RTQaFW+99Zbo7e2N/x07dkwIIcTRo0fFvffeK7Zt2yZ6enrE5s2bRXt7uxgzZow4cuSIz7mnce+994q33npLfPzxx+Kdd94RCxYsEKWlpfHyeuSRR0Q0GhWvvvqq2LVrl7j++utFbW1t1lzfEP39/aK+vl7cd999ls+zsQyPHj0qurq6RFdXlwAgHnvsMdHV1RXfKUQpsxUrVoi6ujrx5ptvih07doh58+aJlpYWcfr0ab8uy4LsGk+dOiUWLVok6urqxM6dOy1t88SJE0IIIT766CPx0EMPiXfffVf09PSITZs2iUmTJokZM2YE4hpl10etk9lchkP09fWJ4uJi8dRTTyX9Puhl6DY+CBGMtsjGjUaefPJJ0dDQIMLhsGhtbbVsnc4mANj+vfDCC0IIIY4dOyY6OjpEZWWlCIVCor6+Xtx8881i3759/mZcgaVLl4ra2loRCoVELBYTS5YsEbt3745/PzAwINauXStqampEJBIRF198sdi1a5ePOU6NX/7ylwKA+PDDDy2fZ2MZbt682bZe3nzzzUIIWpn985//FCtXrhSjRo0SRUVFYsGCBYG6Ztk19vT0OLbNzZs3CyGE2Ldvn7j44ovFqFGjRDgcFuPHjxff+ta3xOHDh/29sDPIro9aJ7O5DId45plnRFFRkfj888+Tfh/0MnQbH4QIRls0zmSWYRiGYRgmJ+CYG4ZhGIZhcgo2bhiGYRiGySnYuGEYhmEYJqdg44ZhGIZhmJyCjRuGYRiGYXIKNm4YhmEYhskp2LhhGIZhGCanYOOGYRiGYZicgo0bhmEYhmFyCjZuGIZhGIbJKdi4YRiGYRgmp2DjhmGYnOCjjz6CYRjYtGkTLrvsMhQXF2PixIn43e9+53fWGIbJMGzcMAyTE3R3d8MwDDz66KN44IEH0N3djfr6eqxevdrvrDEMk2HYuGEYJifo7u5GNBrFxo0bcemll+Lcc8/F4sWL8fe//93vrDEMk2HYuGEYJifo7u7GwoULUVlZGf/s448/xoQJE3zMFcMwfsDGDcMwOUF3dzfa29stn3V1dWH69On+ZIhhGN9g44ZhmKynr68Pe/fuxYwZMyyf79y5k40bhjkLYeOGYZisp7u7G/n5+WhpaYl/tnfvXnz22Wds3DDMWQgbNwzDZD3d3d2YNGkSioqK4p91dXWhvLwc48aN8y9jDMP4giGEEH5ngmEYhmEYRhfsuWEYhmEYJqdg44ZhGIZhmJyCjRuGYRiGYXIKNm4YhmEYhskp2LhhGIZhGCanYOOGYRiGYZicgo0bhmEYhmFyCjZuGIZhGIbJKdi4YRiGYRgmp2DjhmEYhmGYnIKNG4ZhGIZhcor/D0LX+kHT7cwRAAAAAElFTkSuQmCC\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "def logistic_map(x0, r, T):\n", - " \"\"\"\n", - " Returns a time series of length T using the logistic map,\n", - " x_(n+1) = r*x_n(1-x_n) at parameter r and using the initial condition x0.\n", - " INPUT: x0 - Initial condition, 0 <= x0 <= 1\n", - " r - Bifurcation parameter, 0 <= r <= 4\n", - " T - length of the desired time series\n", - " \"\"\"\n", - " # Initialize the time series array\n", - " timeSeries = np.empty(T)\n", - "\n", - " timeSeries[0] = x0\n", - " for i in range(1, len(timeSeries)):\n", - " xn = timeSeries[i-1]\n", - " timeSeries[i] = r * xn * (1 - xn)\n", - "\n", - " return timeSeries\n", - "\n", - "r = 3.6\n", - "x0 = 0.8\n", - "T = 5000\n", - "\n", - "time_series = logistic_map(x0, r, T)\n", - "fig = plt.figure()\n", - "ax = plt.plot(time_series[:200]) # also zooming in a bit here\n", - "ax = plt.xlabel(\"$n$\")\n", - "ax = plt.ylabel(\"$x_n$\")" - ] - }, - { - "cell_type": "markdown", - "id": "3fa8ae3b", - "metadata": {}, - "source": [ - "We apply the same procedure as before for the linear TS." - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "id": "9284ffe6", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Calculating visibility relations...\n" - ] - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "VG2 = VisibilityGraph(time_series)\n", - "k_r2 = VG2.retarded_degree()\n", - "k_a2 = VG2.advanced_degree()\n", - "gkde_r2 = gaussian_kde(k_r2)\n", - "gkde_a2 = gaussian_kde(k_a2)\n", - "\n", - "fig = plt.figure()\n", - "x = np.linspace(0, 12, 5000)\n", - "ax = plt.plot(x, gkde_r2.evaluate(x), color=\"red\", label=\"retarded\")\n", - "ax = plt.plot(x, gkde_a2.evaluate(x), color=\"black\", label=\"advanced\")\n", - "ax = plt.xlabel(\"$k$\")\n", - "ax = plt.ylabel(\"$p(k)$\")\n", - "ax = plt.legend()\n", - "fig.tight_layout()\n", - "\n", - "fig = plt.figure()\n", - "x = np.linspace(0, 12, 5000)\n", - "ax = plt.plot(x, gkde_r2.evaluate(x), color=\"red\", label=\"retarded\")\n", - "ax = plt.plot(x, gkde_a2.evaluate(x), color=\"black\", label=\"advanced\")\n", - "ax = plt.xlabel(\"$k$\")\n", - "ax = plt.ylabel(\"$p(k)$\")\n", - "ax = plt.legend()\n", - "ax = plt.yscale(\"log\")\n", - "fig.tight_layout()" - ] - }, - { - "cell_type": "markdown", - "id": "6f4688a4", - "metadata": {}, - "source": [ - "Here we already visually find a stronger divergence between retarded and advanced degree distribution, suggesting non-linearity of the underlying time series." - ] - }, - { - "cell_type": "markdown", - "id": "de88641b", - "metadata": {}, - "source": [ - "We appply the KS test again." - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "id": "12f6159a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "KstestResult(statistic=0.032, pvalue=0.011947718089521279)" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ks_2samp(k_r2, k_a2)" - ] - }, - { - "cell_type": "markdown", - "id": "6a1d0870", - "metadata": {}, - "source": [ - "The result `pvalue=... < 0.050` suggests that the TS is time-irreversible." - ] - } - ], - "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": "3.10.4" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} From bcc009d6adc9779fba0a07e4c768937c64d09341 Mon Sep 17 00:00:00 2001 From: fkuehlein Date: Mon, 8 Jan 2024 11:22:38 +0100 Subject: [PATCH 02/15] DOC: update tutorial documentation - add `nbsphinx` and `nbsphinx-link` dependencies to directly include new jupyter-notebook tutorials in docs - minor typo corrections and renames in tutorials - related: #185 --- .travis.yml | 2 +- docs/source/conf.py | 4 +- docs/source/tutorials.rst | 9 +- docs/source/tutorials/ClimateNetworks.nblink | 6 + .../tutorials/EventSeriesAnalysis.nblink | 6 + .../tutorials/RecurrenceNetworks.nblink | 6 + docs/source/tutorials/VisibilityGraphs.nblink | 6 + docs/source/tutorials/climate_network_1.rst | 20 --- .../tutorials/images/Characteristics_rP.png | Bin 0 -> 87634 bytes docs/source/tutorials/images/ECA.png | Bin 0 -> 61668 bytes .../tutorials/images/EventSynchronisation.png | Bin 0 -> 27951 bytes docs/source/tutorials/images/HVG.PNG | Bin 0 -> 316547 bytes .../tutorials/images/REcurrencePlot_v2.png | Bin 0 -> 129654 bytes docs/source/tutorials/images/SimpleVG.PNG | Bin 0 -> 143544 bytes .../source/tutorials/recurrence_network_1.rst | 10 -- ...idence.ipynb => EventSeriesAnalysis.ipynb} | 126 ++++++++++-------- examples/tutorials/RecurrenceNetworks.ipynb | 4 +- examples/tutorials/VisibilityGraphs.ipynb | 2 +- setup.cfg | 2 + 19 files changed, 109 insertions(+), 94 deletions(-) create mode 100644 docs/source/tutorials/ClimateNetworks.nblink create mode 100644 docs/source/tutorials/EventSeriesAnalysis.nblink create mode 100644 docs/source/tutorials/RecurrenceNetworks.nblink create mode 100644 docs/source/tutorials/VisibilityGraphs.nblink delete mode 100644 docs/source/tutorials/climate_network_1.rst create mode 100644 docs/source/tutorials/images/Characteristics_rP.png create mode 100644 docs/source/tutorials/images/ECA.png create mode 100644 docs/source/tutorials/images/EventSynchronisation.png create mode 100644 docs/source/tutorials/images/HVG.PNG create mode 100644 docs/source/tutorials/images/REcurrencePlot_v2.png create mode 100644 docs/source/tutorials/images/SimpleVG.PNG delete mode 100644 docs/source/tutorials/recurrence_network_1.rst rename examples/tutorials/{EventSynchronisation_EventCoincidence.ipynb => EventSeriesAnalysis.ipynb} (87%) diff --git a/.travis.yml b/.travis.yml index 19e3eef9..89fcc7bc 100644 --- a/.travis.yml +++ b/.travis.yml @@ -45,7 +45,7 @@ install: # testing dependencies - travis_retry conda install -c conda-forge tox flake8 pylint pytest-xdist pytest-cov codecov - - travis_retry conda install -c conda-forge networkx matplotlib cartopy sphinx + - travis_retry conda install -c conda-forge networkx matplotlib cartopy sphinx nbsphinx nbsphinx-link # debugging info - conda info -a diff --git a/docs/source/conf.py b/docs/source/conf.py index 5c6b8f9d..168872df 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -38,7 +38,9 @@ 'sphinx.ext.mathjax', 'sphinx.ext.ifconfig', 'sphinx.ext.viewcode', - 'sphinx.ext.githubpages' + 'sphinx.ext.githubpages', + 'nbsphinx', + 'nbsphinx_link', ] # Add any paths that contain templates here, relative to this directory. diff --git a/docs/source/tutorials.rst b/docs/source/tutorials.rst index 1b5badc9..829c97e1 100644 --- a/docs/source/tutorials.rst +++ b/docs/source/tutorials.rst @@ -4,11 +4,12 @@ Tutorials The tutorials are designed to be self-explanatory. For further details on the used classes and methods please refer to the :doc:`api_doc`. +The tutorials are set up as Jupyter notebooks that can be accessed read-only +through the links below. The original, runnable notebook files can be found +in the ``examples`` folder of ``pyunicorn``'s root directory. .. toctree:: :maxdepth: 1 + :glob: - tutorials/climate_network_1 - tutorials/recurrence_network_1 - - + tutorials/* diff --git a/docs/source/tutorials/ClimateNetworks.nblink b/docs/source/tutorials/ClimateNetworks.nblink new file mode 100644 index 00000000..b72da4b8 --- /dev/null +++ b/docs/source/tutorials/ClimateNetworks.nblink @@ -0,0 +1,6 @@ +{ + "path": "../../../examples/tutorials/ClimateNetworks.ipynb", + "extra-media": [ + "../../../examples/tutorials/images" + ] +} \ No newline at end of file diff --git a/docs/source/tutorials/EventSeriesAnalysis.nblink b/docs/source/tutorials/EventSeriesAnalysis.nblink new file mode 100644 index 00000000..87275733 --- /dev/null +++ b/docs/source/tutorials/EventSeriesAnalysis.nblink @@ -0,0 +1,6 @@ +{ + "path": "../../../examples/tutorials/EventSeriesAnalysis.ipynb", + "extra-media": [ + "../../../examples/tutorials/images" + ] +} \ No newline at end of file diff --git a/docs/source/tutorials/RecurrenceNetworks.nblink b/docs/source/tutorials/RecurrenceNetworks.nblink new file mode 100644 index 00000000..84941f59 --- /dev/null +++ b/docs/source/tutorials/RecurrenceNetworks.nblink @@ -0,0 +1,6 @@ +{ + "path": "../../../examples/tutorials/RecurrenceNetworks.ipynb", + "extra-media": [ + "../../../examples/tutorials/images" + ] +} \ No newline at end of file diff --git a/docs/source/tutorials/VisibilityGraphs.nblink b/docs/source/tutorials/VisibilityGraphs.nblink new file mode 100644 index 00000000..86687d51 --- /dev/null +++ b/docs/source/tutorials/VisibilityGraphs.nblink @@ -0,0 +1,6 @@ +{ + "path": "../../../examples/tutorials/VisibilityGraphs.ipynb", + "extra-media": [ + "../../../examples/tutorials/images" + ] +} \ No newline at end of file diff --git a/docs/source/tutorials/climate_network_1.rst b/docs/source/tutorials/climate_network_1.rst deleted file mode 100644 index 66d3a9d3..00000000 --- a/docs/source/tutorials/climate_network_1.rst +++ /dev/null @@ -1,20 +0,0 @@ - -Constructing and analyzing a climate network -============================================ - -This tutorials illustrates the use of ``climate`` for constructing a -climate network from given data in a commonly used format, performing a -statistical analysis of the network and finally plotting the results on a map. - -For example, our software can handle data from the NCEP/NCAR reanalysis 1 -project like this monthly surface air temperature data set (a NetCDF file): -ftp://ftp.cdc.noaa.gov/Datasets/ncep.reanalysis.derived/surface/air.mon.mean.nc - -You can use ``PyNgl`` for plotting the results on maps -(http://www.pyngl.ucar.edu/Download/). Alternatively, the tutorial saves the -results as well as the grid information in text files which can be used for -plotting in your favorite software. - -This tutorial is also available as an ipython notebook. - -.. literalinclude:: ../../../examples/tutorials/climate_network.py diff --git a/docs/source/tutorials/images/Characteristics_rP.png b/docs/source/tutorials/images/Characteristics_rP.png new file mode 100644 index 0000000000000000000000000000000000000000..d3428e7225baf09f7ac4915e8b686ed197ef8585 GIT binary patch literal 87634 zcmZ^LcOaI3`!-p(O=NFM!%FrZB}J%&LS|AaJ0x2u8AVo+k|-mh5Sb||BYSTlvMR}Z zkNbIk@B7dDzV{!`(^tB$>-t>h=RA+|IF9pk+sNQ3Jq;HP2?+`PG2O$bNJw_PA|WC5 zCG5aY+zynY+iM=~_|1xr5h%O2UP^ns2`#CH~U$Xvh$k3~5dr_%t$oJ=)?$z9jsx9Ya zf(4i;{`0A?;^5m)yZ67JOM$`v{oJSgpP%ggfBk60G^lRWMd1;@zlyxPyn;ecON;a1 zJI`<5z9}jyim}apxXrTt^76O7zLfa*iJw0=4R!Usy#D5ym+aWF_Gn`{gg7Z+Q+^Jwhu{!5jXm!Ge8xD! z^BW#NZY#yXvPa+X@@1iLc^R3z-0}t|PW&7;Ii!E$#I|4?i6+z5)>gm~F7Myd%$*(E zsvF^v4-K+Tw^avF3JYiO$5LAF*E>dLHK}Yu!$J2kYJ0S&(2i+(YAT#eR6l94Dtp4L z*pc~RQ&(HtjepCNsmfl5j~r1}Qo8=L?~iy(rOz*i=0}P=3{zwEk+!zB6MCmkohmFW zR8>`t=bEXC=a#<~8XkW7-=gH`V7ZrGg4jR9%6mE)CwmQ+Xsg$G_fV>+BqSs(mZzta z_&Yi}j%ZZOrzI!%_Vw)-5s|snCc?rJw{=ohUjEa^kN#`F8$W!o?<>9(BA>-BdETP@ zdfuy7hDVQn>gu{){ZNr7x~#0MwA9<$Iz2j?VJ`=6S)=>ou;Kgc=YCg}%&^9w${WaCX!*KNY@jEWoJ8XJI~C_ z2oi#8tYr|~^704v?fcX66=7RhSvgu4&X{!av6|myCnw{RCr78IM8iu;N@!_m+Z~JF zy;G8VNPlN@%c`TjJtIB6Inwy;+d;k7UR@Trv zni=0#S69_;t_ny>wtV^&9{J|w%j4(Ir#0H&7oPd~^XKd=3lkH^GaFI5M|0j;Mtc%ac&Ar=b&%mq18sL2OYToPD z(#_kix()^leE$5IN$dFW;}%VK>TS=MnBZGhTDEKYO-)S`V`GiZoOzIxlvGe4HLo;O z6(G5L_wIfB8vp3}_>`rm3vAtyJbC6!XK!zB)t4Xh^UuFIZftB|r;3Y+HPnDTcqkzJ6W45f9MSWpeiHS!QPDe7y@7E?_fk z^3Tl99zgi8uyCtT-SG8&;_B+>fAnZLF3ZShc;?I*XJ_Z_mTKwr9sI zEiK9NSzQ!(7#SJejvl%;P`bRl{A$mu*ROYe{{DA3U_0T0TlVi4FJ4%^qYBue$&_V~ znsU(Y@m~Uo@I!@WaN}4CLJ3an~b9|Lq!)` znp2g1e0(M+CvA+QqoY?A7Z-p1ic3h4J9H@L#fzE)($}wFr()nyKypGJNtCo=(6d6) z1)08}EM03l^e7-$B!pFxqIy#ChuxHPn66fJCy^?E#%YXjt zVrQ=k*xp+EGixJ;J+d%8T^&>9zj>~7G6bI7^P2UdS&HMd%HWn3flt9 zj>`uwuC98Eii&D#*2M6u-|+F#w8=9o41VP6wJ_xA;(|LniZoGN{JSwubSYEWYyRtF z_2J=RD{XCUJ-ykP_NKQRn>PTmspeD{6S8(x3~B9@o{%^BLp`zHU>2yM$Z@< zOG`^P7>Zkzy7a!jfH#P!b^reL58lr;QaXo*qT`TkP=XO<&rdv*yB!(n+*1G$P@Oq8X1n*A zot+(a&Z8-NB)6`7%bfgtzMVVWwl;jG56H;KG$>k~J&T;g$HZi9Vw#^J*suysFu%6jvr^W#SyEc@4_gSbCzUnE>DEiK$O!i(vQmR4|S>1s^~m8)K| zqWgE;#@lOyFLQI}78Zv4`e^F(Ei4A^avs`an09kvNEJ`2l$!S7!4W2MWcc&@boKR- zlsennmHpN{?CgY1vx-squ<1lav*zZU4jnp#^;JssN6;f2($mwQXooK^F5cx+efRe5 z^+hF0i^`impX2w58ayH}FqoK{igw4AmMXBbCw}5m^jTv`yEC|04Nq3Od1P;g#fh`e*>^S@tH*i{A@-#$ihQ+ZwMf7{gE-QC~s+Yl>= zD_^~OwbZbnxcF{#wA%H#q_=NZ@-53Lohn|PfB(9mpr^#y>hR&v`}f-l?LG;psHzV3 z_nYhM&mjT=HkPOwG_a$+6#|1kHaB1U^P>~{wg7Q-`ZTvoW;#k6-W}@L`rn1&;!7-t zcZ-U8O@7{${~-8Ecm5?u$G{EO)kPbgI{ZD7%e$-nZ|y!szsSyZ8m{EEy76~@u;az) zmNeCJ=i$ne89MjMUkM+L_P%jr?cYBn1cNk{vdT*TY93ufL+p0-fUS*}XL4j@WoX?nfj4^OrB&>i#Mo zm4F*4`T*_%ma=kkLZOcyJ!P$AbNbx58%SnYeV`#XH#e+0K4&a^+ z9&|+tcx6=uz&I01&61w-2T&rmlr(G(!gqgjlo`nM@bZe` zIH+~v1^21u-2~go&kxMsI@Mg|6r30v3wG!GyN#56r7L%4yR$Wab7Ny<_`UC6 z>16$arps5ZxVyS)5}J|@jw84cJgr}srvEIBA4Ppo$=tVp|JwasHn<6oA^@(Xr6ueJ zQNy&*hk|yRTpTF2*!t$@&T(;ZX^^(|_EH}tLSz$ucJ`xL?ZZ_8jN3nEW_F8+R4?cy zN?=b`FQABuohv5zBjNBkyd~>XC$WxhndLJPOJHEa0s#j*^l48eOr@&zKNNf zly`5LGawa^9T9(=Ek3TNS0_&YfwGAI(4nF@QNuAunA|P=vk&glj zUF2IihmuguyR84w4vQmavQF(GrvGWxif*yb8EqUCK_K{XLR#4%DL(%xViblBe zk#kv4QwJB6l>GhkXLk#2)ZM%3BMD+>iH%XlttXB%ZJC?D$k)0qd`TE(0_sq?dn+vL zU3vMq_t@B2!+Ua51}5@@ofx3-;f zc4-lm!aY42Ju(DBP*BjY?XeSbilIAd|3nE84jw$H!iO#CIoma=ln@tJheqt-uct>M zH5BQ7(1$W5%oV+Uy;!Z&tP?CyokqDH%&T^jL-6pmJUo&>*q98`j?8 zuhC_1B26JsYW?k{>^_|90l^{^dTsFCtt0XUM?wNpA3Xx{Y%Gl8RbJ6E2^E-(`y|YC z%kRLZ|>((tS2H^?7*`D3IHPe9zBI`dlHgX~Y z6YsnJ`Ee#`_CtOBZxNK8~!XtJ~Vy zNujFPy~A+38uSx(8^4M-Q}{G)=EslgUS8UvIVO41Qc?;Y)8K!4fe{)D?{$aI&CP9W zZfd3|25hNlMLd$@|)k|16u zh!E-#v5ieaeZuC%O)P~F!RGtz#Zh7^L1N=m@z#h=xNH%Bx|zn7NEke{9% zivx4f-`Ce5Cxov7C?+%iyts^>6mV=4z)B!ANK^af&5gE9Jw+aa8#k2bej+WPN<>FS z)^&nq`iyW(Ok`iNLx}E^kll}R(5Cv9Y5XP>%rQA2sB)6C8Fm7geUbz7Xs7Ah(#_($Y9Q^>CT zsJw#478V=JlX|gH4SBx!MQUp5RwbaSyLa^igsII2iwX;aIuo2rl*sJ}uQ$n2%D!e$ zzOn<07_#dxYFd1JJU~E$eQ4~xd-s6Skd6UEgF`~__1krw!fI-1Sc7Lw1HRgQ&oVRf za&tj0IXXC8pKg6Z+{=HA1Cx@>{QOj-bc6{)hYqnQT^tKwXyz@D&^#1mLed^cs+>tG z=oJH;4aD>zPL)TUWRtF8%tPsYaWU)8UlWZi(|WE%k|Bmi@f2!3A7B2>PR1Ei zQ>zMZ=HKboR>ZcdRhtZ3KZZ}WHc#8YAUekr@My#SK<%rxzP`0j`~m1msuyF9?vXGT zd@V?s_UUiS2Xxx2$o=@#T#!@ImDU($+O(t*rJ2Ru`JXGO)v#Yz?>r*r@LJ@Bid7U3b#Oc%RNMH#PmNz!n{_H#b zTq9WUR!vRK=9MGIj!{>z8mFo!qMFG){5d%(YyDn)-#$S-(*P=58Q_2z2t!m~K7a0U zS_!Nl?CR@oG>?5v;z6Hn*_#ZDEFDfD;f=F^sPTpEt zcvU0>g3KFpeTTF(aff%rrMA)D4^d*%0c^&imsGwCH?llQ^D(5E8Lq#Oj=T||MK-$ z_qP(j$OQ=Sfel1ZpbmImzYc!P3$+9(6A8Yhr6uO}?V5+F^gDl9>2Fx&@{xU?G9*6_ zrDE;971h3NOy{bMuElJ1CNr$D}-r3euitWQ>D; z0pQuy6H+2Q5^mnx5>KgNrwCXR5Dz*wue|;#k0^XK&xWJzM0ki58(C`!>@%?yw+OK@mVjskr%1 zT2|Jx+8dAp5WL2Pbjz)A5NQ$tS&%ME00EEUUgftg*PX)PBbbq$z4yR@NFEMe-YAMn zNz#|A!2I{^@^fT-x2VZvWnuIAGq90`$*nI1Ji6MHQ^XG?%-QuF$FSH(FY_v)rYs&oASHRRI zik)p6w&51^z$$|!4hYx=KMX+lNYVW{c1rz|Y=v)WNi!Ar15jX#(5^}pVtWk)Bnm|p*e+}hEx6t9w-`(ZdEzfkDF;NW_RjlaLY*_1M9 z*jKNd!9!xNj*pE&7wfFDZT$Q>SkuYdyEHDY9pI-r^su2}%fJASV0>~i_;q|_Mo8q) z8=-Ckcc43~k<$LYJo$xN&IzwRE-}%|)%8VQ-fmheBs)|Yft6a_>fHi=8Bz7m7#RV~ zn-@8p@by*J%7#>g#{Ky|^m2dx{7JVB-fU^4rLn*C9qcW7kb<_E$;sW~;(jx2yK{da zbeq0@rK6|kHBu2_Y(c<4^l}D6^M%Wsc6Bw_fx_bf>XHP={-a6xwuF615OIBxzM1lndc~QMX@tUWOj*jH{ zip7DaZGt)T1Ct^s++TYk20`8)wW)!~y^`YP#sTH}h zd-d^`At7WvN{H@b{DreED+V(4qE^A1MvR zr#+OsKkg9`i8U_)zLI-Es{T#keo;EQuWaH}S=m2Ohb)(KId-Y0EP0b&gGJ>$_KiUeYN$)_2;GrT1 zIq0xqP_~l~T?`IOfA{Xj$Ge;(Jmh@*MGj3nT+2}P&=P?Ye#lnf|J1Ms0n$isjwJg$ ztY?5-XX(wA?mLl@vhi@(Yl4D;xH1qhny0zJ^6s{_oeO(O=1C4Ye2tBd{|Zw8S~<`Q_)~!>NA3ks zR(6L@vPJ$`U#O}(YEyN1F(#bP!pO)4OMq0=W9|Q=;|0PJ%HEiZ!pH?$lk$<%0>Z*Y zz~&(Olae@)17F9v0*6C_ee=c>|9R|KBd8sl*R;ef6I_czH;eO5U-nt z6NDOc%h2yAlel{N`|JFxOSOqfIIa=xUXV9JW3>6hhr@G%x0#5)w0avVcTED<$hh+5 zj%>)LbAL#b4w{uiVx#gMB;{4crbR|8Dk_SMjD#GBo;fVWtwjR*Td8@J(Nz0055EB6eqCkPA>=B+IAeu+L9C( z6Jv#TBb_`VGz?NsmW7?lho5%QJnr5-(wLodZPYq%6qZqm=M0%SI0zSNtfinfNAsy3 zZ{EulwMSGGxkcXnyS~u_R3Zrw`DJCC11Vrg&Wf?gafQDk@nQeO!p25vcfS+@T2fM3 znWA?x$eJ2^+65t!{Sw4o*ayM5zA3iGnhxsmx~8X>7s{3OQfi~UZMUq1Krb>9<=>YZ z8#jS~&YwTu@D$XqN;`*~6GvR5i1MDmP1aI5YjyTu0hk?xMMc9cJ)tB+3O7A_w(-x8 zOua;Dj=McQJ&7F_zEh)*!&fj2q!~(xk8Il4CNQrYjiw>I108BtA075@Go|KZ3rrf8>J9;%gZ~0UZFF{adKxl2G{7LA1yrAg`~q}owk^q`H_7mTi#y^3|#=AXqvAOuon_GNtL;%~BH~aG^h4Ta&4o%A) zb&wpdW;;RA3_P1~>lTH_aeNCn26Q&1jHAo@jEs%%-np}1LINUj4EXvLkNP~iox>nW zloJ6#6=NmMQ`57;@V+15hFZXXlJnRzkmOZ zHcLTK5zH0au3gAP933b`4Wlml`ugY!pkb|pZ-=h|VnHrP!`H8<{{Xi^_oy4bd;u-< zb9&n7)TtEp0JZMs8jJfUbaXxDm4GOEV6s~0ZFrvKz)Gk|sowDzr| z1KNeXwY9ag^Kihc5>!}@T_0okV`QU1mXAbI2tP)9{OFMd%A%zu?|JH?;^Gf8DBMVM z5Z+;7@N{>t>k7axql<&&fEop`OO;BcH4PmR+B%Z4{K10&CifxsHXUf7o}HgJK-%8F zf9I}Up02JnG_Xk}?l`j7gAFz>^u6e0v8U1Z+1qu1(Ek0~Lrtv` z5Z>l-G!mtCQ5Y0O+pNpeOHUfnHk~hZc|vrP4EwvgxCmsGm6xvri~tDUOGp4Wwouj1 z**hR2EBmIR;!&eLu)3RgKtb;u6k;^Qk+*L*fpM-lW`RZ>5;%T()6cK5-wpJ8cV{Oj z7uOik+_QFN50W~|&Yj@GfE+;zHc%2fD!g+GNxTD+@PpZukSu+-HWc5+z+6T;tgGT4 ze3o}0Hzx;6cDp?;KK}PuJuS*08Wf46fzYPFMQLhkVjoGcd_#blmt2eDlKos$^8^&% z`}c!AJsg7Zj~?AUBkZBXs}gU0npEuaxIg(GeKhyhMZFWp{kOOLoc?A!eJX^uA}U$% zV5~Tn%`i;`DbfpaReyExI-5rZzz46(3F!SCEp5*i$wEdb;iMi?C7fWAl$+)CVM%)sOZpF8^l4)0`vVR zd3maC6Aj2@7X6oGQj(L;g45_4{@l@{e%QQMK_U^x?n-0 z_W+0*J+j5W*^NpGJ)(d!9*_5ArB35k4IJ&;li3=GU<*GFnX@O`j61S&MY*(Yvl ziO$E>%PXsW2IR`Zj~~k`E6t6KHGUc32B9*Z-?o)bHri!#f8~1goVkbHXz_28$uGKH@CzSQq#}? zb)iiHM%C5T9eD3sf{;KphKT@8Xhr!v!VnGl?2jJ+!1%LzdXpVCJcUB0Y@rr528g_E<)%5hR?P zL>Gd~)$JRgDZhTzCnXKSf1}Iy%Smo9EcAW4${3hQn!Aw&FF|^BTQ$0I4fb^_Qe85n zs(?Yp$*gMaGr|BEG&FYt6ys$Ut;mwt7;QDR5x$z9F~%tYbZe*-FH(NDpwUyNV&p>! zh8lL+**P&Tj{Ac@(Wp5#tPNrp**{tTd%4#FR137VjSOqs8d!Sd(Z7(MaigF_8Nv^( ze)QVr+*?liKi5?5I8ORs3+QfoqyPD|k^J{36#wT(8@~Vk_|c4%CZa{?+4FB9q~6xD z%xx0l0Jbb0rS`dVN?~m=2n{xTE`H;U&Q_B^hzKus z7MAsVZMA)S_ilMnezAJ^`SWo=4CwYHm6J%9AdT?C;ptI@c>;tXUK(6G!<(LHi6T67 zNYuz}YD1|DI(^VAayf?IyyH9y#SuL-;R*5fb=};gwHk(owyKugo6}TjrJF#CP*#u{ zd_l|l-Oy(c<_#N`UddE(Eltg(meKBb%8_(tH-0MR&}}~jC8hm)_r@Bo!%_vT6!13@ z?coxN|HLnc9;df>33KX z0&OJWb-1LykIz3VpCh1Sx9F)_H^nXm=2&iPKYg0MD!WSYlk#;@(UQ+lU{n;n+J!0S zwpZ{Yf!Vwt;{y9gS8MBtQq#XIP$by$(To?h2q+Ke@b0y^o_*`YsqYdHh&8=vZ@=;I z!NrM+BLv9QhK7a;73=J)JQ5(?%gdG3=6+Ct|9^+3SiW+;JUb`n*RNmeXTR)rY1>0V zQNMj9PkoV2Z8rk1yrjgd`Wy4T=J1am*RR(K_J(}8-STbhDeMc6A9Qb9u6m-T;gxQl zrkINOYqgtqapd3p{JbW^v+Yx&>%V7CFEiVNw{mVfnOu`@RebRW-kW42kJXJk z8=k8?Quzbit*tiIF8YZ26xl136~8lcL&k`STV%9$a!rOITw5(>gKD`7;4(nAu2Fyx zJWJ+#<3?rt`%TglEvAQfhBq?3u{Rp1asq^%*0)VY+`04E%45LhT|3f960n)xIW$a40RKtvz^`e z^z<~Ex0@3YX`N* zNK3oE@?b}3EQl!3>XgO%dw>9=qnn}E;=6XR1vof3fC67lgX)CNT}eR!en&2D?zlub z;0d(Jc&q~3dK#E);Zx*o_IrgI2GtB48VIVTWpbX|%2)ejAZ(x+L(obV_O zzC9R-K$6?SSp|dxap~vd?+}FGrrII+EGuhjZtfPM@#FwI8p-_5R(>C9TFOl6e%gG3&}Jf%#t3g&q(Xq zT3U!{2pD|K%m*8GmZqj!nwcem632c8ydwmI#6d<)tE#Gc@ZgM%%_#aeV19TdScCAh zkdP3VuyBorUAgMGVTg+7-rsnGB7~;+{61{BO1H_+fbK;8sR?E@R8HJ2@l^tPpQZ5o zw|t>t3W?h=Rp||y9)SoHN}y;k#@PKk$z5T$!uH301LopXFTLFP5}7D0Jlrr@`T{y` zg_|Jxz2buoyqXS}%NSA2Gk($!r zm7O|$8f6g9J__T|L$u*sz zy9>srrNKIBpwM_@d7=^O$m$EoGUILs;dHD0QRP4S{rkt37D?zC_<%$0JcOqpnpi;d zk!ynex;k8mt6RdMD z;tk{+`br>p{4Jl_P4C$*aa`W%S;C`7K!lM@ZmzCSWh(%)k-0RP5M2OQ#-P|f6v3>; z6?Gl1p$e*uui4+bp7P z?(XOgnYAGFfdM7ggtW=Q&0Q6+&8Kr1Z|UGcqUgX81a649Nl&IKxb6@vwr|`SEP!o_ zrDxJYQm9!V8cLwtvp|vtEUm648IDa#Qh*fI*LN-g*qwn>n*0N;goNe0P$s3Dt5OV# zsGJWUa@!BW=IUyK8Hd)vL0&<7$QL8kq!3(BoM?hfsBmehx_Sgi5X27_XMB8|ThZ+q zR0nh^XzM4m0Z>0IVD@9`aX{??)W0|?EorbbVAgaP7{URtcXDv(G93ohU~ex%w0>QI zMHLkr>CX?_7tx4tcw&TH4VVY<49iei{95hWfI>rTS{h%2O)Ta43UAWcd2p*P?$8V& zU>A^&EG)zv9m98=NR~#up?FCZrE}WE$l0o_P9o9iOv_V=%mkfwT6_`?6yADu;Sqpr9t<^;* zr;YhR<-HJ5cR`ZPPTqte8MS%0;Z8KEAPA{di5MIH27(#6W_96PtPJ#5xNQIiC$cfu z@D!sHf3{dz)%VhqAk87&d%G>dX9b>}n))_o8hohSx4q5i%M~p%D=cNT`bwFtmyxnOo5_FhKnM z)OSzwSx|ny1lq#ax08Vyk@M^w;1Sb`(DT2s_In?q8*2peMj-TMPEKJx=f5zhp>~Z< zu^TZF5fE$Z?F!(^?7esxc4Le-)Z3260$AF)-Vum^J1Nu%lJ0hr-tptp9%~?iTpI9~ zjV7UDY>{I08f#0N|Ni}h5GX)+`tDsyVq#)$&>~zoc8b~Ug)-nw4ku8;hYP~uiRQgS zf&u~>M~-Bcmp?pk6DtcXpjxu8%w1HAAVV)O2UUW`YLMvMH3==y2+1UkjbYa6q1n|{ zD|c;R)v~P`aJlelaHBm;ZljVk)YLWd;h~`dp>Lgsx5V439|vr~SbECsjG*bWm6hv= zoU>S&rb(Q%?j!Ctj2cKlXyF)}n1Q(&S%bSO*bQ5qp*BVQ#Q zw=Grs1&<151X6&jAbi22^jOt5EKv(t&gS0=to@*E(49+w^RF{r{*+t1lZ6FV-K-N2 z!?Ym}QChB;A{H)Py=wXXhAhKB_zQIIa-2MU8bG(FYPx1Wyc)eaz`%eUMv_pR5pde8plKkkL7G`gCAthg zN^`0EZ(tVTguZ?>kD{%$b>JZzbOay=(V=5Q1Mv{ePA!iVGcq&(07!0Gd7%e@xVF6H zXz}>h8E)+eDs_r_Dxq&BWCsEXf*>}LEW9gF-XtWhp)R8iOvDG+JrdaM{)Y}bO(7LD z3G&UG!a^U^d_x(BXX&eF{!uHpB_$`TA{zAMj-vzL%<0oD782T{pENQ$%FM>LM_hamyklQ08wBtT!F1YBm7?DCd6Rn10i+E6#rPZl^2_5Z~d`jc2jtSnF(U-`E{N=e0Tyc4Do^uh(zS# z>dNUdvhTnFKxDu&MVAqhvp;1TL<8)^gS%aQg6X0G*HN_IS5)9mFJ8FdIX|EnF$GBu zxlO%okB>K4@r3yJXQe66{ zJm&~nOh5$Kydev2To1thI?lD~3i2Jq66N!`&BE8OwFrpGdt^1)m!T1nshv81zIoII zQ!*TMVVIYIivY7!jq*IOhs`EbB_j6-g&I6oJHY_k4l{V=vPS18U^!ry!QbOW-vo4y71S0u1G~a^7X|!8WOxJm zGtlNMgEuyR2Ejq#!O^xr_+w%W?eFP2QE`&XjpFDbatYuB#fF3CRnfY1kPXU6Q| z=Jw;~&o?C{AQv?VP_TKGJhEXOk*s!a8r1x>{_oetQqKJQ3&~(d;~K$C;1hPf^!4ku zx;pTrq=FtmUoN-#r0oekb#=$>0aVc26U|cAVQ2(}AWL4+plFwJnOKX&%F7Xhl zr#*2#@Jk>*G;PreK>WJRD^wYuj1|O_LXcbqh>GF6ML-wm(nW8^v&ljxXi+k{`=%6^ z2H}{lF4l{7N}V0%O7x+z)PMaj&0! zw>G~)+F`!LO_v{E^5%`rQbTL2%V_N_rYwvQq#9r%ryZqY^d4-5h)s=Dc4lTx0*tJ6 zA?ep@$_dCU#wI4g`aX*zno6k*uIH=#-{{pR!QEJ38nHgd~|ur;t@cs2CegY6`i=fr|ZG z!hPMyXd`7K(2z8w#;n2{%@#=8vckfHL&oXl<=h+7rMbaK&%0Pzabw+ZP_(xfUG0|x zL0fTKa+MV<=XuNq!@CJ{2ucjm=lHf}gry$79Po-xJyQJq{Bx@4#x%3qe=RRJyy8~A zE`||qpiFQczzXQ79=XS=*sLJjaqVOpi!VWQ`E0sWBP^)8ptx zjLp3jH8L?l?`Kx!ulno`=HgNgNbG=Cr7S^ATioy4XFQNI78^tfLb9^E#OBb%!iSO% z48Kw!@C!K|o-T+_;bCFHre+`^6=(6n3*1MrKFnHgnF@a${NG-Hw{Pt)9$6%H_3$8n z904@Oq`dgCFm1S{lY6mz)B5H%d(iw?WckiaZ9aw8=z zE&s&}>M9%lTUgp)f%)O8S1(_#Av>7Swzjot5vU0S^j8?@VO1U+`J9oJMGQ3XO<;^P zPZ%6KHnaURojUHp0}6FstZbKf&!ru?w(xTt97!Mp$p#Yw`aY2B=o|JBY`b#L5(MXD zQyxEt$}1`)w1XiQ4W;$ecS5NurmpVjHp?n`4wVrOwr#JPosA=I-F1tupZOkSP0gv}2E{7YSb|1J0( ztDgj8k{QJxX}Gnc!vaJ9Z+*Z*9mmWZKBlJKC^&2q76jfK08rQ}drqVrPNT9zhaJtY zehvLS;081WH1{Z@XtExO7_GlLTSQcUpcLiiI(1~9ggCy3+Z*`{80!a;tacdD4kl>W z1<(1pbA8~bP_$v&x%)TPvmi_>;~R!90iKE0r6dzfwPA>kfm?141zTz+G}T-qYZ=`l zi>QIIsVO%HhqtdUqpf2?aj@MD+z z-MmRzyst}Ld$ge8P)*RJ}yI`Fo8MMeJt5+M6WL`K5!0HC0mM|3q5-3O0Y``HxzKhYBs zw_8A6eH)1l|2Rd#^=WuG)!CMlW@g@CSFmy5jsU=cs%HgDN)iDf!=3tSJ}D(V^fd$gmPfqNuXMfU7L4+(T%{PryxY52Et zsxs|SzTx8A0y;0pJB8uM(H8v{z%;b@(78@HJ}#b=;8VT9%EDr2ZH@CSTrd{0=mDbu z7`oGE&R|?DY*GrP0$>AsJ&6Py8Z5va{r%i?kyN4ew(uMS-shfw&viY_q0kKB0gjOs z=3nunTQUGdXbQtB=vwwjHrUhdFMF`BPjMS91*R+v*^*G z@Gf3`p1$g}9MVQ|{o>kepbQfW3)#cU&6j~Ppo18~0O^RIZJxdI7D)C)QB8TcWSC^G zQz?CUC7iTrG%@o>t>Dq7WB67I16fEjLl?!)LWVeeQn_ zP}%x*{q17j&RUk?J`wdH1?noQ6{eLApqyJmQ`+xjsgLZUtO5|3P1HY2TbXT4^ zNJB8gSU5lc@cqNPs3Ys&VXOtO6N6M3YF^J_GY8Dj)Fj=2_YZ%<;};hd*-3F2r*6fZ zgb@S~5=0+H-Qzw-ZC^(h1l1HY58Za#j0e^nW&q3$3x zVFnh*Z(#dHM>|L-Bl)4&s58NbvWB<@+v-1R>+b0ZiU9mcIHnz{sd#tfTY2WKL5_+_U8$!5SzL%@EXFQ*fLC7fEC!{ z=CAD=lMdS99RP(Ly}(Rdkbck`y9vQJ_v0{$#E1w&_f_I#;p5GOb{5!@;BS+(h(#xg zfjqD@o2yI0ijM>$NY(K_3#kWL$ZOuj$ePl@b70jseWTjTRpAk7UDdhtMK;L5Bav_e zZj~S>z;XGhxqIZ!%Yd;L^W%x1KwS#LX!fUbO`qvQV5d{HL=Hr~#ja1IE^DSz*(*+R z%Y9h>IG3-~@kw-4Y14Z_BFjQS!yly+<@fTV9-T^Qa{ zA_v()Nlp$K^jGaPB8k^6jQE6!*he#_v;t} zM#lJbCjsIib_C=$n0dU%KHLV#xe8AvBKFJ~w3tT-spMH6$)W$)gBPQX2~3l@W*Kpdi-z~Ks^ zt-#jsbk%TWJbU&5bq54+P*4!sO{hu&W*EuA2|A*}!rE3=0bsR(+ZC>gv0+^;QP{x- z0T~&$EMFlRyanc#LGi}#Y#2HK%imny#V`QG0#?yyqJbG>Alc%CC%}2=3UT%ZnlP-t zmNf*a&$z){vx9IRLc$=eZ^HdRg+$PepMI|2*wl3O(j`TxeNZicW1(okxdpIbYb!Kh zfny)Of4`1*0vLzeu}#KNAO4uh2bqK{Q1tfgN6%#xMX*ZA7~qA;174~ZLeEFi7B^Y; zii_hU7)rlEXp#y%43)*8*+5j+IHS1ki95!07`~WPgMh^mQcWgEK4`jeZI_srFMr@9 zqfsvyv5Sw#;0E#zJ~x)3$BAs9AJo;(OBK3sr-NoZp=&SYdEu#IW# z(SM|{1O|jj0`TF&g(FNK5Pi&A3O7-ZKyZ+20x!3uDw}F(jDV_yrw1_(KgfG1Xi#YJ zI^8E4?twMI=}upJd*PAA=p$H1*lJKyc9MgS31UK7o|%~eL$^y^Jpf9ACKGlySX!XO zu-}kE`g?ns$?rjCbNnWxTa9KI!?ag0kzTn5o{=DkLnm-2c#TM^z-guSc6Ptk{#*$b z!1xB*p0U|kJ*E#h=zvKJyh5mNdKQu}#@KN(5{y2m(-Oq-ywXx8a-uQg=~JA+MNb%h z=a~}`0VwH@F3iz!ua+ZFGJ0H89CU9_o;;zW3=xPxgyPHw%xp8WZZ}oGuN_G-hNJYHdI>{aH7CTw?j3r?Rp#iYf+z<^x=d>^;x#2AjZ>Qi$a zBObj`y@{;bI)T|p&_^)za0d$j-QbL(bVZPiFj??jL+XGN5QiCM(4_8IrTRx~F~P>; zjH-$1ATqS>;5C5KQPdzPB0Yfea_Prj#9pJ-s=L2iuX-%eAWI(3eN$6pin#F&064@Y zvN*U9CM_IVgGzt{mq4g*$cB~y(c;vMP1GSc0T3gAQPnhom;fIcv1Z~*(no>)j)#Qt z4Qg~j*2is|1=YHzy6?glQZ$-rbmRAOl9Ov1yFAzn+kjO1$h)UcBW*2yrI<)vJofo% zgwV;FK*D~-eVnW!7wyBo(j97V3BR$h)uJpg`>xTbiqYM(8+h8(RKc_P#gFM}#~nc= zv@Qd`F+EO$G9w~bAkEc z1B56ANdcy(5b-3{K-bnO@DSib^oQOMhDL=dj^&8{bWlzX@Dv-l=Jkay1oB|$?M6ne zXt@ye7(oIEqbCWxzxU=TlIjF;bCi5P$iiSMVWuV}0sV|{L~pcc5Bi!|FVH$vY%p6% z;-1m1JZ~qSZv`hCWVc{hP7j4C7Jzr`N+-uw zFAzJlfKveUfC%Ry!5UjiCF=uuPy6_x@E~-cpOBD1&IZmHy@ks?f+x?(R)z~lqDeyi zx}HTK{}=f=3a4M;prfp;tjI_`507HF1T5S^6dVu}qZU7RqaiCtMm zOmdIi*wOJ(Yqhnvg9#z{9wP|^{~j1vt)R0{i23C~V7H!MQWu+fR8oW;Zv~zkhaUO(D1!UDef#X2%biH5P!FF3hpKL)4x=t$ zZiN2;JzL}jXJ$1qB_v^ExIlFmy0tg_i`{we<>j5Q$avFcG@@S{fP{u(7bv($ilkG&2gz zJoSPnQHtX(4njh^w%{fx&A%rD$NeE)*oT+hlG5U74QltAGLo-QazhU=<} zORP>tp}GPrKT$g4E{8T|Q4|m_E8Hgr>hC_p0U(X`(&$fn+c{@-lr&S&9X!MthwGC@ zKWl34>^dMtM^r96JbvTP|D_KAwKFgiHO@i^1rv0A_y9BWJ!&~Oft|PU1o+IU6+|qA z@j5f>4Od?7I#MXPdAEflb zPt;gLJ{sFbT*5UxTE0wA3Ma~&iNb8M+BsR*lP5ck^hl~ z0Bp4*uArL0tpLNIGr-|ki;EKz_6p=~U%k{f=V6+HidbtZVa;(Jhd5A=fnP<}{T@dJ zFycfap?kV84@1?jb3T#PPW0N%_+Ypn!-gNUF@J%hm_E{wLzh5|fH4B}#2x-!SusFP zzPVZeqtRV!91q#v{_98QfsOm9AThTe#v&_S1A~v+ICon6gI6ucb=2*VxyPw6%}(>X z1D1lo1&BsL!9If-XT((qv3`Zt08R&RFxY=MEaf6>rt@r$|$%VhRXntRO{= zwR%Bz%zE~0q`3^DHJ&;$vdHThGSXZYL4^J$Go~F;5673CFsV;eYu>+q5(Ks+8HE$r z&JhFI(AZ#<0l^5p3WL6QSIDv$mm^89stRy%VKR_$-Az2A5yos-9LAlAd)QnjKs?#wxGP#G=of;vu5`ycaKAuV05v7&Dd_grhg! za*tqz>RZW*nwm$IN~KJpfn;fpPzjBc%4$MF zRwEi@DbuPbL<7q7d)=-5?BUq^*!%D8c#iM0mQ{Q{pZop3hVwkH^CD02zhD_l4US7o zx-&usK0rwdNysIlav_vb(3)+iv;ncotJiiK)?2=jvVqzoy-ulVUxPOD;QSU2!|mHU z+}z5^$Z8=8=gv7MI~B`{_ioq_#9Sv2AAVm|g>%Rh()h)B-)L+pqPEpV#tj)0;!bBz-QXbUKS_EV)6U23PQf9d zOMhnGiTImgm%ZCq>Qc{$&Q=+3akhTf_v?XFs07%7onvT)QstFujlT){@TzOVj zrgeEBN;Rep{^CmS+c(Y1N;1TqU`Vkh2s%2y1;Q0l+4`JFgX4FQ_aRC#O$H*V_`?AN zwF6;SQ$NlHog8{ty2(OZ?J$2BA3($EvUqU^#tgf;R5djesZA z9b>+tu<+`YD@skvC_U(QX#n+OXa%f}S_~bUOsETgGI`6E8^OUjh+N>zQpuA*C7xyXXnw~j-^RiP{&df~T=D$E?=Z*Dwd8hUdv}{^YwK(uu z+r%3sk^$w%W@pWve5RoIu3dxTKI@mAp|QQ(Ga4B7M<@1tlG~b?B@y|vj^|za$6@oY zZBH~ByMIe?lDo4?MQ-;7v(=eCr|N1|XPWNv^*j|6`!r9}w-i5zLn<%swIxr_4Ywbp zVy;`bbIS?O*!^ZDc~`^#6&@ry@A5sDHTrSHgz8;?zs||M>s2~FUo+~ALBxWavvMYf zb^CRCv}AyVZ-K=}&8EAfdhE$?O=`Cq-bGGYGC*xQ_&Z|?bi4ofdybB`yeh2l zdo@3l$ZQl80K;s<4*v@8y_IhQF%q%pL@&2T&#qk;YCxx8^Al@deW$HB(gw${8h*V2~m+pwgmc7)S9T!Y35b#9~oJ| z1s-C1mMn~)32<2KJ>zZb)?MaBl7N_U+up6S^kNN-17VuFm{#1pqvZ@&m7>GsG)nF@ zrRhu|IWug7;u0(74I4LZZ)+Jn%tAWxVP_)7iJBLKi_P=71QlvQJ2!c6-Yg-YKQ5Mn z-=clVo2)1=A87EP>|`h(fnXtuTaJC8h`=lKP6B9Whefy73iDmt#sqr+bC$;Gi(PLjf=Ev-{In6ABDMZF=1nV+I$K*Obdu2p^B9vV8ExR&whVM9W@`Cy5FqKP?Zn9it=1NylLABCmM+5%Vq6F zU9;fRSlMNYp<3XSF=NLj6xD#0B{lTuG&X9l8;W@+KnPic5|Fl`a_(e>YzPlRnoWWu zb6_TZ9lmNEK$I{dh|};|9kt*_ZELM1`Ml4l#bL3ylZ$oyEmV<9$FFzrM0z{?7JICeXh1BWga$+?v63CNteD~dtyv&@*EG+ zqN1u6?&>Ig{RU4}I`T4_w-qb)kW-3^W}~fWFXNH`CvY*jm0+K0Ep!XO-&t9fa3m<9 zl=u4SKS@eXo;q_T1b!V#M?O^iVE4Pb;Ksm+E;T(L00*;iyjIViAWe|*X;dzN>2$B~ zA_M`(!)QOa?sP0%Qf|9$)X&;CV-&La-bfTMC~kKvO7 zr3c?kF)u4TulY_{KI||hHS8j#Ni+6|#!;YIXvvsF?5?D=W81dm3m38*cv)0myc5tx zfY;OrLhEr5IN~Whhd8AAyU44ekRq{xG*Ya?eAn03rro>=k3AmYIS^okd54^!$2d}Z za~a7RhK)K(?U)h1&G7AzqoJ&P`#dlV4K)??Eh#1pwJ`S@lHJ!AFmUXrKYClFl$yofLaI< z;LC#Ry&Uv<6>lHfi^KVoI+1U31{&n3P5HlmA?~~h2A|Rs@YA$$c5bF`z`SFNJ4JTj z&N8|KVvxQ9<5xOS`2dreJId%IWMyT?$4oRet*x%!vp}8<07_oU%l+q{)gbAvQ_w|$ zDFfWVqGF6%UsE%6KqOwGqZL-KS!2jO=-by_UkynBb867<^r$uiHc))4g@Eg=MZ+^~ z+Ijk$jEva)C1Qfe&#xHA{QL((iTT`#G|`Zd;J7=GJds2Zdqm27`Ie5*NpJ%b@Kc*j zoVeKww+5<3i%0i)Pyg8>Z@04d!WRybfQ!bw3xuG%Bj>tm zzC3zCFfBM;GzjZZGSI>F*)M8Xkp}%|tbz9_?^I^~c=TkVp@Vxd*ev0*eKKRttjR{#FA@WE0U$ak1^Re*fjvT0N6%(D_)WH^x#uJ?TD;F&CE ztZ8>AL-;dK7_Rj8?sbYuRn4O^K=kyI?mlpjf;Qk-b_(?`N20k?Y30fqtz9hvRp;na z2u08z4TggUcR4D<`=Ifzxc1*D zm(TE6@rFVd)Fyq~>WS1|x0LJwj@+*pkA!bwV5%XV=}RmWG#2%%?D_M@Yu7h3at?Be zqRn>9rDSn--pZ-utF}-G%EEtc@4kKat0;hJDyj-I;Q-xCqW=^Lp6nE0%8JEur0}c- zzw*vXC}ble)&|o1!ze1>Zt7HqX+saEFw$Z(;1WKiO-iC8`cW+O`DsY_Jk)NG^A@Tn zUAh!pD3~G=3(eNVba81gOrhF+H+`aRTy#lUSq9@Ej4lx!6tXGwmtq}Lf78j;HNw3Z zlAWGKF&k+mV0awetX)XE^s7k!_+y}7N}BtU+wc_<;*ghR zr<5`3C5Rrat^qVlAYXQGUcN-WDra;vm6s|dAcS7KX3fJTSCK0pI&G4U-MZigFiLl2 zGoX=(L<5}^pl#AJVMG@KO#PQHd9Q~?+75!nI z_UC|PY{>fO==!Chiv+=cTEhJU{RCxA&2>wb>~8Ioa%J3E2fg8aF5of3ga*DJ0AdK2 z1TR7a5q@Fg?R9U*Lu?%Q2PGtxX62O-vp3A&Nd~ZKpo={-n!<=K&zB6uky$_&O#Jg& z8HBrX%uF(&NOR)Z+2F0~pg6(Agn?hAFsl$9QW>al&N#;D;0*1e^d1x{aW(EnD}{A;SigZ@_l4I8~z(fRR8)@y;~D zo%D1U5)rOH!t;Ux9m0WX*v>Gr)Q0{BzlGOjoF(_IO+%qS80dUKVFgW7P%zrSKxIoz zPkJMMmV{Y}IJST-U_=hh{ys_4Hv|1SC zpl_v&W-s}rIJd1SW03`%s@aA!{f^QHh&}@*UYS{0?zN5<$G(!PhJ0vX&VW#d+JN&0 zZb`x5G;H&l9otym!9U|sNGuEsdyJa?)fLwWb-BRVe|Fqf*|%qp|I@Lc4?fya`Mvt| zK`23xRmuDM3hSa3KSv^cCt??eZ@u>iun)xxMG9{^E-|Or1i>0V84;RDD9+sC^;Ab! z7ujF#J6EnL%HM0Q7-Y16o>J{r;8` ztr5XQ;L$h$_@=bDq#+&w!mUb#tboH`G3CrNPnZn=W#;!kCMopPU)K|iymnNV&@49# zzd0=b!O{xNUwiz*meGU-ZU&=gnvV14QFQqD_~h0ZckKK3E&9e2C-#M=xLl;1ipWug zn>=8mu?+zcmjz+!I875%)385^Cr+jt}{(kZVgG3w7uXBO~R^CPpaL9l`Am6+J4!)1i|Q4_n8CiJZk?JVk?NM{5o8uhZ=&h^1RZkFmG4;}+dY5C3WDhg z9+%*@#!$M_-lqrtKwuj#qX6hOAPN?RD-(BahdCXj(zV`b_PlwFR)}-Q6a*|xA~RU{ zWs`W5_9Gm9`RbL}Gw#p1ufGQWp(O@CfdbopevHM`j(SEMtdt3o82gcgP z8wtVdv<8w#`blMFa3gKnz9j~5FLX-qhDHnqGaHirI*L~rY!#6Eh)PVHR6RZ>k6}a| z9SPmr5V3+kO&cXya`H;rn&JhmKYvE%FX5n3GENvbF01|wDB-<(+)kKZ+8k?p`!CPq zt<^$OU4|z;yK?d31O4GZFhUAKQr##PcW@PI!8+)nzzP9eJk{pTpHGE90Y4b*JNE9u~>(PnQZl5!NWtchqs{;DBk+AY>+AHuDo58UUIZ+;hcphIct+$VVu7 z&PVzqme%MTw+s0^BQ84`SqH*bk@}zsXNrDjJ3>>gAamPf(xpoi_!R2bFs(R!kP2-M zpUxT}69X0rBcN=m@7@(Lf0j3JK+p1l8g`Se=!RDSM*G}aU-Pu0>vYYk(59O zTT@+)Yqe6YAN9^&o2zMQZ8eFparbueyh&*E*n?E^DNSy@9ew;Ue_s%&>ch&+3=ICH zwE6ap9(%!*DIdXDy&40tq2VBW*K2!!)U~`k+}&l-qW<0!ATQ}ab0#E^3$v5O*$-e^ zR7JUs$H<>F5Y!G>i;Pep8j>+7dC*h&-(-vj6Mfd6um^1c95&1}d?uhs@g_X3jn>&; z1qT;0`Su3m1$Q#zWe5A7=CX6XcPv-`g`#01C`octfkL!Ds`dMQ8b9!Y$ zD2yJz9k{Y-+y*KmBzg3!D0CXfH6jG0uL2}~@#YP3uiH!V|0MYkntZPsG&a?^suJzA zW^d*Lt<3oflSj4$h~VKMKlrhapNcfudCr`=+FEoTl*wcwkmu03P2@7XF{p%4r$o%t zK+sRcL0Y+_2?!6b#PD0RyhWa+H2N zI{6HYFxx!d7|AoBPa_S&9-7{v1syn$WR1;bl~^d^dnH`q ziR__>jn%q5R1lUdTV{1Bh(aJR(2BqvCVKj-_J_qqKTH{9r8=oJT0&J~#JsE0W!v{J zx+HnnOIk7uB;u1Z(z;oww!n`E4`zml;W)|Vb!2FeKDzejYm+$2Lx=7)3)O&hLK2WAH*J%QSQ_M@}zp< z-PXp;!l_*JLupd~RhYi*o35(r>%4_>$L-F6g#la@Y_XpyeCEYly+zo(Q}Ur>!{Gq;V&~?ep;tyf6QT06 z62Fml<+2_R9sdLG|CIR;sMlU8h<`~=`v3fm77w>nmzIzED-6~1G+Sf4w5@B8g2Cf~KanU3yFDo5An7aoeDPkHCj9FLughoW`7uVk>(c_H5t8a`ji z=qM_yq*U)v+~4fFx|cFFvtU7xU!yAc^N1qCb+zdN8afaiWq!>G2Jihvb<{`ys!2%zg< zw)E$0j(#6i)ln`fr^8jsa{j8Bua$Cgt(B8d&YOKHTUA zDw$f=+R;#9y<^91aBZfJ06cgXf4k|^JRg{**%+$5vV6bA?AhYhCy+`WM6IU_N4l*< zEl;l%5juEKf=%Dk~!&v$OkBC-R}^(nxjXJ8;4W?$infJFYn={*J~P> zG&g&P+onxp_UDk%fq(CR`GH#i;G2AK;k$Q=8P?`Tp$(gEF%KB+B11q7l%+hUd=6cS z2W48P64iu&ck4>#0gaP^RS~@+@N_E5Ekq0ryV`bPXD#uK5oSi`uE_%SqA&si_Vf4! zQGo3P;hJF*A2(1?MkqSAncZ2&Y2oo(*>hha3H+!^T6Qk>dAwK$$%=#ko(CD;@RfYf z(qnn)>$6m#BSv)3eGt$)9p{!YW1`OVcUKcv5M`Xmnw1aFAP%Re=FzExtm0ZjywhLe z|*Qc)~;WlXXcsvq{0PTOa{B&WYmnMUiX`Ft@lx^sj;xO_AH%vmjOhy zXv9Xc75Ipl&nm>-S>zZL#Q#wU3ZcFTHYv_xy9ftkVrIlUfO_$> zY2bITeG3Mg%94$5&mTXo1#6}xq2R8=yjx8TRmSeznTixW^ifh%8gX|+#wrsO$)FM@ zHryEZY#Hz{DA(dtq6mx}a`yu>#AyYd9JM|u3&wt;S3Icj`Hh0;|AYo0)Iyu`nt~;f z9R{%;BNyBlPRnrZ+H7m-`{L2_fqzg|*56P`25jihY|3)3KGh1( zpHB{yjNXr?h0{zz*WZYq0O1}N(_1%Cv{A;H1?M&gTAYzXxNM-Z3+O)F*f2JCTo zu0BiIqqkx6W>Nc3iN&ABaa9oPbc+~+15`CPcbzk*_xgAfem%wjK<`-YP_Ue&ss}9P zub`4(4uzMDpdhX^iiefpNO8i$igVcn2?`*8EE_yvhQl$`2ogf^n>SfS{5{G#mPjpG zV>lpE&b({5`!P^Y#>CJjI?S2UHu|B<*Duz(QQ)s*jW~m+Yz6=*qpqP{zi(lphRwTN zb_xX@(LURYDupZPgRovk03N`Uk9bQe`2Ou1R844S$M+(8rcbDQ82`-7bVJ{hodR}3 zCqZyMV9F9&s2NPsd{(VnH<1$kSU6d=>V~giL6iz{cR0R*ai?S5@q!f5rO7ABt8h)_ zquctliYS)`%9F+T>~?%+;SVc|eDE*u%=}=S!Xihw8XtwhA)wAazdG7?sO;^9`Kvvj zGD7#U>jG#Nqlv27DWD2CJslt;3>iBDh(+*1>$IU0vDx|Gpjv1m3RC)DYC^S;C+rh5 zHe#tF?Ud(lvBAemwGfIbuK4p6hH6uoGg+7sKr1LIG!YX`O~q}0E$;PHS1nf{SpgK> zpFoo)Iwq@yj6QD1$44Sn$Oasc5EvQAsj3<)%Efq$992#+;KFi!HJ|}{gI@B3@g>Ck zR8LRN_(H5GgmqwZq`QlS1?in(&n*3mH*OrU&_-Z_>ZG_B?`}cM&)eI{%F2UL4z-Z} zratd*^sSPPDasd)D9z|8Y$6P**SWV+bBa zrqpxA>_0}1>?pqAjr)&q5p5$K36U3FPt|rQ7%FH7rW7yJwG#x)+rRf*yj|{rmV%wF z=C6&~k+u%9!tM14R0MiRf2O+8da#oXYhsqChTU0Fa2ohB#br1rQ;I^I3sYNH2XBiK z1b`0|zN@fe{dx>P=#UbjkK~sEY3p|(Dy9Ca0Q6(3gNwOvoYId5YNj44DuMG(J0{bt z@hS5v;kwv&y=l|$rjtM3YleycIDmoRanb^M=$#ySFZGg_FX6Hc*BuXg8C^CKZpzhTtX_qJtV1-;OVFOy)<0dDP1OK3QA>H8m~+z zF>@WZSoE73%UhBK@ezH1%KqPjILmcUhxOa#cXHi(6KiNkc$^jWb%TAuuSn~ z>$i9l%K`0Da+xWa=i-vt`e**X6z{}ChR)$-KyOxj0EA&JFMo1A?OSo4H&>P+yUm-s z2=KF63t_(9)nwN8)!^ArB0_zD2k7>}!QOuT8aw)pKmYVtx|G*=meJt>k+8UVlgYD8 zqGKAmhnI2ULPYPsYy4vnJctw4H*Y$#O>$-; zNYXSM%*DiFm^y~v^{VQG;8XDzVZFkqp$Niv4r2X??#QM zU#efexSsdu(PpM05a)^7e0?3i0nop6g111}AdmR@JeIuNsWWEuR#rA)28EZ2iq&C8 z5HeZ@PW6t9#$XjMXyf+ZRRk8YJRXKS$D21l=_cq8d)lt-d8e7oC&EgX#N`RK7s`1> zolaLht@Rba7Q~f{iE@4^xyyK+SHALsWCczh*d*ptN{V%{r?gN^BJtor!J_!ux#4s? z5iB2Cuv7m%PmQ(pLe$}~yti;&)%PY6OjuUg> zwn=KUw?k28Wcl)*T3U>=e57*1F6_~x)@^%f3rS|NOxIHN*DB7{DD)?(GBv}PNb4rc zV0{hM3}fR!%CC+NiuDd|iK((;KQ9R@3OBa@=FQ1gda!6LFd5Elolg3xIRr{A7dwpDLYf#Uel+zfCs@fiPg|5B=tF)~6}iHwt;wrtMMfB2K&vhYP1e%Cv7l2-;q zqM=%|ZXJ7CAxj%ucoFm_5P`kqb2yeou6<>BlWHL`<2HpXVs>RX*z2<=Pl9)K6$G5- zxa@7=RWDnLWc3lXfk{v-_;$Bqh>TBlNcw})(l-8~CDWW-f%a+eV1_-tc#8|S;sdmx zbV#!&6C6kgzb3}+LOfZ!G-p--@GAbQjY~~U=iDS_aZ-kDk{Resd%c_@u@I?CHQj>TyJ@I-F!!G3(b}Ju_L&yRu|Ea2Y#+DNl@eIB%ia#;#rMDz4Pb_%H8eF91^)}m`Ae<>PLjSvbR)hRsl@7m4lYV$d#+AODmYNKkA@ z25P8hj~|z^qZYcSxf!;Y`eCH^deJn6{Lt`5A$k*Zw@BqRYwPGV5@A3!=sc2wmb!N2 zd8Ed<%;pj;TJ&Uz0XYrF5=Ge|zB^S7XJ%hjQB~zaP_Lmgh1(0*B0)=y5QX-m^h{t3 zSpAVBeTW0ZZ1@GLe-sOMcecKQOG63{ti>td4{1eRxVNRe@-ZHM>fw_IsmvQbm)yum zE=?Qb-Bj4IkZk{~&#+W#BNY=!(NswYRBjBN%*BFu*|H;`R`9dHM}77)cCDhJagkzT zNQ|ghD=I?y|2J$;dO!0`FYIVAXdxiC{AdvvS%D=aLD91y2w?8;JlX<+K6n7{7KWCI z4IrvWTT^H(ks})xgp!HDMjA!NRT!CYQ&C!k|ojyzM~LRQdC@wtrvq8g9Z-#MogxryYI~Pu9!}s7v;$y+M?JQJpD+fMxiLtd67EQdYrDYvAC<@ zrVV?r%|OddO{3q=(goC-e8w^dmKSRmDtpQfD#N0Jf&d+SbAM0gWP(TDaFvz}MVYAM zB;TpdvxLtB>3~$^;G>1GL?m_Kz)S!H67@P)b^uY^)$>m2Q}}gcMcnEI0TzHYBH*hc zu8%Vhl{Gyl>sFw`ncHfH$ zA@1B7NI0$o^CuWI%uDy;h#lO$Tl(;{oK0NDQ=s2YPNMSJWCR;$P|m^pv38Fi&1~t@ zCr?HU8^%9Cn!hS6JYl-+DieMl9+lV>5JDQCHgYV9#{u~p(G6uic~VzX(^b$PJC@?9 z4t+7x8bTcM4Tj|Kc@+G~g1Gjtzj$@9t}fn~j9)R<$7{|LZ71^hRG$QD8 zC@NSn+x>}VL@h)35uswNJ>gab%;hL-8z#Z)BOxt29lLJgVaul zVGy;aqS#IVgJ_Uc|7iL!XR?3HkFbiALF(`9G1@}Bj_7>>g0o8c%z zySlt@lAW>%c-y?G^!_cQ{=Wdd|2O3K|Nq~(r_LAy?NtR(LL;SFMp7+E z2`e>jFpECBjfEVj1lmuILmvAmKmVtJs|SPQ6p!Gq5! z$Qmrh$J7%9Xb0^nVOyQg20ZiG4djT)WJ|Y;aa>OjLA4NK8kGPMnb1%vS%#??%K;t? zg}Y-Kt?h6CBPpLeJE7BG-M`P0i*Bc;O`Y1GpYdquT`*lClhV7hO9i{l_vLuBpFE6T zVXbGO1xAAe=ZT|+05y?hR;;n`UEj8Hy2NoifT>NJI^7>*z)J7fStxJS)@k;ZZka?j z_JpCA5$Z62 zQ1Zo{1 zLu`LCq9xnDzxt)xgB>ZGHVsski`}|y_UtHnBiA+MwYbQ2JHKjT5JN9CpgPw_SMCTB z2OP{dTjH=VZQ4FgEO3zFQOaRZ8z4-m>?qqoRH=f6qvN0aXOIU08Ec@ zgZk_ri&#sfO6Q;!Cbv+(r=&Evj@p0_fS!iZ9EPCD%f&&Yiv7977*gQN{TGELG8M{A z;vo-=S50lj2}n5z#sV#i)OGdhKd4QQ9dqG|U@Ao`19=Cj1?U!)PsKhJF(Pdb7qGm+ zBC!bi9uS6wlw>RjUY;@%)8A7efy-V)88a8oDJm^pNKK}uIAc1`lRYUkVmywHV%ss` zX9o`|_v^=dJC7xjD?2+7Nt{57w8VfD*3jq)Foc5^f3FqfmtVWb#shUD)f{T+QA36p z>+4$#h!l0D(1oJB5Bcq=5hEz_diCfbdgxCyEhEcuZQv!+pCfQY27dY6IU~#KsHm-Z z=A3BAsxSOBdI4Nb1QWLC(%SOT07P-gOwNjPR7_Jnq@Fzm;*Pcq8|ryP7{Jm%aq!tNtPl81bps(=@a7HHyHH|am{AbUvu4F( zq&8j1P62zRfTR~-ES49ekj?vgnv*ja)>eReWK0H-7MPRUz!hmY5B?DlAc07j`8Og5 zOLi^4^kq004G{zdHa*Y>shhjbrFt8G=QA|Bw6v%RfkB}NB*`<5>$A2N>k4EMYi6W) zKpP+;Ic}j%C{AhZ9UK~(n2^vzPMU+AbW?1seixr1R{zoukYrgTyuZ0C6G-*OLRSR^ zX@OL2^}`_ALG-&KMvfdgl2gW@r&o=YOiM zW-^0FNBmb6yzq7BmleMSXOf2?g)iVxbD|O20Pj%g6Hz}wNCO|Z8FBCUB}fdw@=0O1 zawujq^1^r|5e6)fvC5zY@@R*#4FgA!I76Y&Q=-48eFmNu-HRJG&}UPcK@P;9Z{W%y z3rEfR78NGC#6&f9U6PNnAhZpgn9IaD>T|3hDjLGvU6_U^<{^S^dxYS2+&F}^bRFWH zqgn_;UH}&gC&pOl($LRdTKE^{+I*%7K#`yb=x?6n=hKN2$0%;b8W~~5%L1!tmc-Q> zj#dD5Q)iG9V3A=;_%(M_pp4%wTuU0;1eD9if|#Bn7h^}t*aK~Nn!C)K$Jj1d0kQDW zg9p-|zWH^wZ{;AuH8O_xpLYDWggD9R6Alf89X@1g0r(mB0nbNc=f9Ij#*zgPGcZ58 zeGzj<*F_U2l#`Jg&Jp(r73eJaka+tGZmh}D7xOa>R(gi5v-8ml7go~K;Nl{RqDjDQ$aS?g}}a0hf#=FUyErf{=2b(}Hul z*fNHSizS0(#X!5RbdNhzn3@3={&~Nd0rqS2xG6J880>3AmQCPB0N|!35(@-gm*FIQ zX~_zn0E#EC@&|R|8Xg2udU`9+x7+FBLEuHlEcjy_@T;{|9N4!V#95ZkP5~HTbgE02 zU<#4cr``E1D1(_<2B%c8vR>KvPoTwv9-n>EP9m4L#nKLh6yVf&11$dv8*z=}L zk)4dCipz~P^XNDTI*eM*j5d+T=INk$nCRQ$z#fGGk-KOuz&^r(^ooi3*oun|eq zN}iTlNS5LS6fjNGz}LiPQI&muQUdjiY~FOA-t}41Pj&;oke~H6ZdF(9k|OYBCj{{E zi}VmAhdGzB@~)cZN1Dy&mz1*gS=U1_sju%)-QP;BBnY7V_D5yP_sAt6goo7#nl8l! z1$J*RAqZ+7v^~oWxnITqSXs(ur(jOB;vUC`-DFY%q`&$Rl|zEpN+DaHqN{D>keSiw zTUj%ZokG>RX~Tw8^XYuV#cl9B=CmT3j5SSR$^=plci{c|McI)49Y`HJUF+Llpj;~s z2Dz)%9>CQjSZNujCUZ8^#n@ku7+EMG#NEy=FOQ>i#O_eS>w&XQRes6Aua0$vI z2Gh6uWY0r18{$q+EiEb0r$@9)c10igsScZEPp;jv#b_j9N`b+6&XDXVyXpZ_?LG~= z+}NBzWNz?5$l3CCT*_4peErOKy!#nwEz1mk-rx6yDE|A*|9l7WC zjhMB3HiyWQ^n;e2(-C<2Nu*)?s+X5jH$^z-*I=wQk5&qQELg}IXrMbAdzU&;6gW< zCWdZGs%P3;(e;uocsv?TCR*AM~?gajeJ z6*o%Cw%Ypo5RU;dGr`<`re9wnDV7&pb2c^Gi$|?V^n5kRz2@9cK3KAfM}{~@N+|!L zwM=xAA=A0Wj67&N=>9ADvRbxsm^L*xi;y9OK4l&zJAQ4AQv|U8#Y_!{g<+1@{Y4h9 zJnWw}Z$3wW5U}h$EzO&c!`s`?(4~As@t2O!;L>;RPMtU*f7n+U!5sJ+!|^Cyh=l(H z@l(nE4Ra3o>_Tg>03pT@h3A?d|NR$cruT1a^g+x!VBENDIP^jB-5ug!ESxn%OQGKR z;^QwnH6X;@Q;Pe{180<~;dK$4gqZVXqLtR>dHo)#A?fM!Hb_D%f~Qd9!RDbW2_5x) zIS!UM^nU{>^Yg5*J88shBti-vMq6)ZOIs}Xc$%UL3!#Ok=H;X$lcpZxc*^y3zelS< zABq`xfFDQIS^E6B_Q;WnOC`7PE+$+Kbw(sHDvy+dTa)R!NME{qPX>Sq}0R~KUC15abl%p8{xu8wnBF>&YcK95krkP@iYKsjTN zU4-}pu_YCw1^`ZNd=p$+Sa{zfRZT%=M~uXp37b-wm&HV5^twwTzQbGZSQE_HE$tvn z*Qr41$q3D0w^KZ2Di^$WE!nvT*-v&s`;|4)*tt#DR@R*8`%u%x*;#hSauf9#b~qtW zf3h%u5Aa*62?z(Xq)TJ-uvcPW+4*mGW?BfuV1&ps+dn6OJI0`G#7=J3EcfNh^WLqj zjL4i-3$yL_{s7MbH58vL=DKo-mmWO|TI{Lu1wH84n?8y5367-x4y_$u`aXZ~)oho& z_V)u4X9o_LH0kV{1i5{2hLd_oU)kqo?a*sYagQ!G`}`O6>h-`XaD{2UXS-*xS8 z_2{uBLo=c?>r>X#r;DlRUcL-| zhx|J3kuu3uL$UeVC!NF7VoY>#;_KMd8i<|(wT|i7vAt*hk`O4V84W1L0rk|Wch1f0 z;;8yW`Rn=fTv^}!D<*b_#%D2S)575TgWJX0 z&!^Nr0L4QQ6AE}vJk!*k;rjY3{TD}fo_A0ZGOHR_cow~UiNopS&`iii+a03~RHg=MbsDNzJgcBL8l`=uXMR zDzpfjU2L#7GP;qTUYwKjp6roS5_^OOgGb8G?v;CdT7pQ^0FAu48XOtf2ys{)MSDVB zHi3qL{db~}^0Lw3!S9LJWxYqk;29kEMRcwwLGmHd9iG{0kXm9hWs1lz{2H&Ye_5p~ ztq128B(ypPpndYBN$uSeJIV^@O9;TIfN20Wpn-o3Glbr`e`$N!#@d1Z@|(eV$YNz3 zeby!Pke-g<6Q(456z^#0;)aERtV2T_V z@^Lg75zJxc@C`}p;0S!beds=B%qGT|jF!2zE%-Tc=~!g%*O&qEru9kMBPF1A0#;So z`+#Z<7N-T@4+@EBdKq?}(8@wukUg14esur70m-g)hRGZv_N1Hjnbu3#64&zcCkEW) zk@9z%Jd@&YJOD}I^1{DP(;om#xVbSVZM>stO}Z0h=qv;_ROLX^dcKqgGia`v`{8J^ z(-0|UP>}WH$sb5ujIuZlVl^Z z54d_&bROV*V!K#@?uO=t29hX%3^qpA?FKZr}R8ypBvB4`;fIO6osyG*1j9L0U5F@4xr0^E8GX z_`NReB{&i8gGLqvma?A0KVZnG`5Z(sb1hntv)f|?Uc7vA%o2QWTo&SokXT4UOQ z=SLcdm4cAgO;bao_R}Y;m;F-CgJnnwAD+eH5od{sRl3&36)WUk$*SyiVuGA;yYb^W zt)Je%zs_iCS_!HTBr^BofQ=~1X%6BYBtN!O>>ype$ECFJLjjn|=tQBi@W(ZGUy`VAI@S;h0ls2C&#el52kE^D~28vrvW zkZVCz#BuP_yME)w1sA*K6v2$ z{_oz(v~vWlIFcBEU2)o}cxB*&KhuTycs!zzo3K+E?2q#Wf>%+?@wm>qf$VH{em()| z5YT6DrpbhRgl^!4B7cDRTQUAA8Rp>@^Z$G(D()h9wq$Y z_Xq5Gcv^6)LbB6&B$aV-ZYV_f@tK(x;BPdrt2XWtK>fMt1841h{)#N3*dBU2xhgV*>-Y(rp;EXhtv`8+GJJ z2OK#VFJXM;XEm6{AuLVN($rjhW6kkPmqrXfl%a(D8A97@?vwlXDRIzMzNIF}u9$n# zCF}lu(b7oTl1NPCDz_3$(>B0&rv+_TxiXo6L*LAt4-OGWj?6{B7;NRfWC_@@m=yU0 zadn$INQEdA5|T?wrieynOpLuv00jgBDy4v@vFfqchNDRqCs|p3-bsE+Us(;RW1{i2 zprD7DgY;4iP?^6YgW>W@F==rr2xKpQODJnNA3qM8JB%)12ZPm2?36DR2Ralzmo5!H zcfcy1(8}$dNu492vESJ&1-VDvh^Nyr7DkqqQiGSid?`+1KYJDt-dF9Ip?{+*LKO zS6EGEt&IMEUn>P7ocI;>Ki|>+fBaU}sB)MhvNX&qUm!nGP?p}iXHUwtYyW`S zez#}W5R>&=7&PG8y42u&F{qHg#Uy%1(9>Gx;26&xTjR<_r5U4%q2O&#SP9KfZn_C_ z!MWm5>?&}^jEnfO4nlyveYY||D~O%wBAUKzY5!PXKaoMYsdq=V_aY3E>nj<3(b2&V z`P+!iE&M2m-Hgl6J3|x*J2XY`*bGem+M5MEC@RZ%r@JPS^pPqdCKG)&h!F5yemTxw zCZ!be#IhA;wKMjieE5ER_gceX(l?MieE)M=!ptglRo>4% zC6}87fn7D0E6MKA5M_nC<1(}qoDPbk8(G&@lURuijO-p8+`~=efk`k8VaeC{H1#XzXE`$Gj2TBh}D59;PPanPe0hFvsItqlwciqIHm zz!RsSwNefAhM~sq{##>Xd;eAHzl~l`8OoAD$<@_=>W?2^^5O;f{ntgVmdcQs;g^>T znR}R%0oGekqeAh94ytCK=8-CpfVFlU*ddE{($SF+Gf1yJ+9-4mtGd7DY{IO z5Qtl3EWdRx-3kM7mjK2;{$YgLOMI?g95(IG1W?b}5@Ys_>`nR<|E1eHkErP4c?D*| z^?~}6yt^3B*ncu@%BL@1Lf6?QLM*urTMEiB#{0sIeiCX4fFig4RM*rzRlFho#3@)k zD9pB#gNLmtZNDv!8`6i<4FLNLUwo$pSi9Pl2#;!g1w;-Z4iv2X2@jJJf$3jy^CyL7 z+1I_u8`wbyrq1%68bIN+?J01nB6vc=;9)-hI9!NBE&`H3t&Ha$N(<0dM(@#H1|uc{ zbVDaXzJeMh7h>KI5e13|twyn5@(j6&C|IKsx3sK4IT4ln3804b4;l^jN|YD;v4CX? zmX|2fpI`+<9)>ZyUqfHX@5Kj6v@j!sM<3)P-sa;&DJkAz(W3nI<=!eP@`{QW_8^gA z>^K#udb}F~24B!rphqxUGkB2)dK5qS9$?Nzfa=|}m4C+Pkr-a|y#_E~!j@W-ZC{sA ztMT@SOeABTJ97qFi{m?VQ4@= zeK1yRC%Xb{Gkm_Cg;vJ968MCeOs46jcSVljZ_E(C+Z_6T$ftS)501&8AR=n-?ha5M zGF^#(#r)$h-=9}mY(Qfm2q5jW<#bUr9K33tf#6Sc( z2iyRX`oNiT!vqV~Duwy;Q;_3p%w&fbM*JHI;k;M&Y2kYgMO1YC0P3%))2CZE+wwBO zb}}F!H8vp5e_LEkiy-djf(qnLFeXn7zn_`m`*XmkQRX!z7?|o0-^1)XAv7!AjCmBu z7r~!)2^0lq-J>(lLDVpU)=21NsDg1yTF2)q(gMf+FPKd(J4CheEBkpxo+kKrY`LPjR^q9*{dG*3oxDz_|&*f%V^O7 zuOO~P=sH*2_sAm_`LL7}6Sjq`i^TvsC#n&8dprW%79c4U4fAo_2oHb4-=(`864M_z z{;%7&$!jGL=|hiGb@75ws(-1h4Ai#8ee>G2Yv{Kq)sPV|#5{qMS3OblNDSt&%a$=V zXmoKUJtC)X5q_$@`t#vi>PB(@`QkUwp7I;`jJpTFCgO6W6CpCSOq;aT{6;tw5?@b! zFXO3E)-a9hLy?w`MBT+@kG3tEO@3X)P9$xD#mbdKF*_?SM{gCpX_TH_=5k6J)>&-e z7DItg$KFG_rmilhs!@M8?F*G6QA6znur|{wZS7D)f(7`@9dU6ZaV&9YnP?+%drNmq zW%=L%5X?N6V_t_~%$6bz4XXAz>PD0ttatNc9W3qEW{9-VwIe# zER7TT0bDwosaer?1!zB{YyJ&_$pw~X`1x_bQnqW$-Otb8M$5T3*55;1v5FrH4(v$c z5C>GaVxY8U)ha7xzzS@;{c!qP(VwfU{g9fRhbZgEjUx{Kg?|G#UW@?&%ri<@9wZ~+6-Zc=wq$d-gdj@0ds|PRe&OCd%_Do5jUY4xY7bJ` zd-Uj5`f7&?>Nj1ON3~kS1L%Pi{KU2j1u~h~_ADdU7X76zx;fkpGupxh$G{_gQpBr2 z=EGgHb0MP7Zc0K(hT(fy&Ma842>iiKyYDg&9Q-~z3wp{d6+;tH7>&SV~ zS`8Rr74M)djhnZ)^IE~3tIo)I=wA=0tF`cCQ(~+@c@X&g2eyDyI|=^0k%F9xPcJVJ z!GkgoBKDAucTDy=t)i@Kk>JSa1ELvsdmzgkx}(o*f!7&0(38DOf!c&0jQ#w79TuGw zg*As!$#Wj0?2@@V>TBmKYMNG;mkWLf9;E~jT(@C3vDoWIxqlP{`YtO!;IG+whtLo* z96vqOb`S!_%#WWxeRA8%MZDqrb7Punu$ANH&13KEc3gxg{f-@Lm)^cGSG7}b*)dg$ z#sgc4Nuw%`t@89_m<+NEQB_4d%PrErKmyN)E(p|i7(Qu2WAfPmrV$V$$lax0-(8r= zTftG2Dm4Pl64qoU@3(`jg*9+M%D-{SSNvO1t2}IG4{4aqY7%qaD}RY7c8Oon zMRtr}!BA%17_>BW^4wUSU{Z1Og0lhK*fVBB1GT++J|NAYWHRy0RWLEK=sK2X-E<5_ zEAY$<0#HTmw*_Y<4D)WRd2Pch$h%Wptk;P)cNq4N=2)&zZAT@z0dCV zr%g6D_gl4U*u^0ZmnYrsRbq-Zmys@1V*F_RPWNWXoF|;xICqpyKq{|az2XeUbrA*K z9Oz4FF)|o5Vz@THKFP4Wx*Cguu4SSxognOscSsNY(RbfjYEZ9J*_oOAXSp-oH~C*y zO^A|7ayn0q#xTttaS>4Yk`J-nG>aa0UP5Pkdb9H5tSp@&LypGAx{?)3OJUOGzA$u2 zM$9S$?&TcgWB?{i!AL}#+H8Q`8GtVDy|U3~zO}x=aqvvOhlimNMkD?D#Z>65G6y>q z=O>t9@#*SU?v>61!&RxRF;6RLFrZtz%3*>OR+*G8U@3-M#Z3Q+Wd&V+Cvu8wk!qX9%X&>3)uyp6nyLaxiIoY!!p0fBDOI8;% zjq(HVfhyB$kah3ZWE!wPzQ9^K7mW?Kif7V()ykCx%d`d7zGc8TTWH7qWTl?s2uE@q zkP&-HULtpLb?qE7as19X@i_3{{tWzZ$SAu&CGmR2v%mkg`lfM&eW@GSsUxtE-~@r0 znJ<7d$`LLDY)ilurdsUCw!$DX%YD;#DLKz^ zhqcM5QNxCLoMS&M#WAx6)w~GO-#!*kRd~%lUU)G7Uot=Ya{5W$amBf9N7Rk!!LSST z{M0IR5Nw_C9ow72hnJpqWVZg9d#l6O0DY2B(4Mj(DE7lt_WfaOvwhpPgv7+`%WKaI z>v1t$eG8inad{QZgZJD1TioHVh!L~rJ?-pbB#nV0t-LdPkDuK*78(Rb3d$TnU>y@l;#Ab}b+x!lPKdOX5|lVOX%+hy!0F z>uZ%&R8D+2&f}xWCydh47Rq-=nPWS1<}!Epc{kVfU$`f_c+HS$Qhd4~%6#AqXd*M= zVx7>PD;HSH@fbAd0qrT>!KFHg507V)b)&Ez#KF$6i}W1r**})K)@`b0Ip)rvUk4*j zB9S@S?>fw>rAy}Sy(h@Knw54D;fcf4^%U^ndRXPR0+FSKtik4q&7kiqE59~3Px*q) z%+8hu9d^_*)WE=ARMVePRA%@+jwyJI2Iv%<3NS9OjsZ%er4sxZE~br!@g;jvu$Uem z-G?Co=Ys5^L{+E>e>Ni_r%F-95U7sYaf7Sp) z$T$@7YS*Jd;({nrC*oqzq1k3l1PW#g(F{F*2a|%4df;?=7oHTLv{l`E8nE)F4aGX* zyd?#RgFRDjKd1k}4wa8M8i33KB|1c{R6EW?pbvu|Dmb-B9LC{;g{$Xvu7C4y(;PIa zym0Eckav5-!-Ky{Y)1x#;^h;ZQ}sES0g;#!>aScH=a~Hb`x1|(2jLtW8;_6MbPgbe z=@@m10g)|WH1lKnuBtHUL1W9EE_sCwne2i*n?;iSF|X#ZyhRDdT^{ms5uE~J#ki)r z6zzK#49#aO z!$+~v(RQy7XPw$qD35jF-gSl+%1b(|y${^`1R9 z(L++;kVCAbTB*t?ldR0P@k`lvG5+LnH3{GegO3;B`alcMGqxCzZ8e}Bdx z6~Ip-2djA~1?1;MdSAi-!ialBIXZM`*Cq$t_Gc;=+@Yrq+FJ;u@cQ+X36T_gh(NQA z6e46TixjOb22M?ItZ+?9^g*@D%)iqj3bX9C=wq9iuB5S}Z=O9O&!R~5$=%xKif)MC zjr5?~jAD?EoUE)=ETM?|nD%m%*xg3=19(Q2nYo(;KjW79H+yHJlKyi=j;u=Nzx5Ls zQ5Y&q3Fw*fX!#~hT1pZDbY`|~{H``1ihq3Fc-15a_m}K_1?}NbcM;-R=TjPI`e-g@NH8?W9bdhgJ7>-h7%Vk=DyVt$-hfQ-zJG8V zx#7HHhe=9@m!w^@A9ff?#$8BN5ySx^z9GULNKE3MWgdc}xR#QF*d)^SEQna#pS!UT z0asucT6e@b(iz=vnl`eryZDy*nDo9C;B|fg5hCO|24~F_?OyZENB`q~o7+pfLU5ty zrrYJ^d0o(f1fwbMHX3q?p|!5T|8r5zF1ht+@a|N90gJ9q+27=1InHTni3J2WK&j_P&Yb(@BeJR9_9z@ftx z8tQ=ZCmjlz`;_I-PEXMv8B;kh5Ayw1f}hN>d1bEoe4LDx5>3RfD_1f$Af4!E#7>a& z$;q6LtmSCnwtRWF76gN7J9Zkrm>e-JfsP-CtwXFe8@EYjzA2wOmy!AhXp16^{l=5$ z&;P|NF3kX{nt5z1$HMkfa{pCBuADtHq(qz!*J32d~=4E6Bc%L(dzZ|6T66#%^6W!K%sJ1`wn*S63vE z>~1+o-wuR<%7r?}dd$dPXkS;17&|Bb{ETjCnO~cl0Orko2jk(xV8V6l1L5Jo9U}s@ z8!nb zl1Tg}z#}BJZdAR8BV{ftGM6tGRsIQ%Z%a!70AWmkMrf{;r2!qG;4v9^P-CY2nU9^g5~a2GQ@Mx#e_o=%NjeMI!fcA)a0OeKJ#r9ulS zdiSH(;DdAjY~oceEc(oLwlOF)u!F{oU#5*Aefk*@#a*RD0+-x+)ov259L#7evLsbg zolKcAL$vP%CytumgK|d`!`Fg>4FJ+!7essb=wTOKGuVQio|Xod2}t&Xs@7}vX9Vr^ ztjx?|g3qEu`a~Aj$WXY$kHRX$B%PUjn@XFr!7C6&JjQ<%Y-ElK!7T@8A<#QvH|0XW z+}(KdvQWMh3v$D@-9`npJb)HpM;ESKah^Ty+bI;NaJ<}GJ`q}RthX?s>e_rBx^<*WivP)zI}kKHUzp0EJ>n$7Jhmp> z0k|QaHe%XG4<8bI7T`=l4}dNgAOTH2R^v7{4|wKy4}QnX+klDmC`$b<($c)I6;*C5 zm7H(ju|r6AaY$|~S0dd=0AIZ|Tym;K<>_y)|oppbPY|^EPxk@72 zOmmaohp|D?){q;mq0y!~MYNq(oMogzDrv zW9iI7PhWu8(xL1l>2AEFQ?>9N^NWCIc~!qJM&a4>|Dy%?OD{u_LVyOC6#nI{bI9o4 zY!GH*63Gov163n^6c8~>X}!Mva`nfWee>q)5X^5!2b!~unT2}yz%s}G^Rlel!rALr zuEeIfL)Bg-?hT#p76^chvv;+ReH$NkMdH#naySD(2u~^$lRD)Xie}597|OqE1T{XB zEV1`(Yl%cafLk_4EW;_wIuC@i!m@wbht1~uA3U(}X^Z5X$H!OP^cmW^`q%&B?#hS&a|0d%Nbe6@&J!I!ZL)2u&V_x|sn{4amh)-@^dQ~p4HH>SU>?|c{pH63d* zh_*|%NxMPB;dnK<2W>Gp!cGSS900PLw{E4hV5foL)6usl;62k7L6qd6h~pQ_0$Nty zM7(+#^CQw>pKty{`;u`fCfZIt*u@o`I7aO^-jYk$+?V$GOxR~j*-@98Ex)`dQed-E zext@AvLP9ht9GD0n+HxDZ*KW*T?*bw)|219JB}(WHa0BHK=9|Xvg&bSVCXgw(!hs5 zx#=)skiN|Y3S}IdrEi6u1EyR)L0 zgis%+HqaYAhQVj^ihK8V?%%(89%r*XNkJi39nMFHw=v>6G`o-$J`P|?CMO-XSY%7+ zi%aaU;$pI!((%b&R*yywbG|c0=7uzxfk#@}1bF{tWuFGO%;8(p{q$Km%4svP2UKe< z3lKr1em*E*02VW{Ipg^8)7jarC*3lsav`pDr^0i0r|_(hn?z~Hkm{ z%)$0UO%bFg$5GTV<99#THpWX}itbg;?*O{O2PHGY5EMMJ0v4^!5BzKhMj;5odfS5~ zMi;@Kb3J{`LIhM6VNPC?KwK$BIpvRg{aNi2<`~nECx3; zn}C+XhMlFep{k>{VHA8JCB>U2g>cTv0>KR&-Ok_US2WU`2x&>APGr^4fCmFm6=S># zD^nLXOG2eX)b=#XOYWy%aPVjX6+VkI7UgXQGr~ohxns(j%~#oXN(qV>M8xl*s;C%9 zlK>S23=|&{ktgAn+d{;(w|~t{lX@)Artwk&a`k?)B_hzFHbRd2lTr{$uu1PCjS9I6`4oE_Ke%s*RxDGMnD z8JK*6#QOd{W(X|vz>d?$%L_j~mPoL*WFcZfrX~kRtvTij`C3?0kHU$MtgSthcL+BM z?k#@rkFmyKQo;hA@;pJ5->sV<>DsrC@2oWaHJMlx#>>X$4m%ar`jUZp33PnZp5wVQ zc+j9c29Z23giRWXojUQhL1s=KKaTUm_@#cZw&>T;M-dzPbai7)KzyW_WXPkeEDY75 zv0_QZw_CI*4So~VBD*6iBBRmkeF0qH;$dMW{It74OqY4=@J7(Rk!R47dRhxoLJ$wo zT3FwZ%$>I|VPItFiQ*OHfT|vIX7p~lZ)gp1lY7pBI@Vgt%Wr`HLsfxqgofgJh7TLo zuOBeyg8CcLvdg6KDU&8~l%is2Is}0Xx&SRLEIdJCNS1+oOGMFpRJ*ZbspWY(FveIE z0Dp%vIC`PJ{6fp7MCcsMaHg8<290K_LPu6Ha5k@|a8D4tXhhzO=IBmoBaY1=nQfQ? zUGx;S-;xGc9^87K6_qez4mA-pKxhkO(0f2Tppr5on|0B!$q*x}*v9fY*dWS_4NOc( z&>897XV*>YE?%6ev0? zc<`=WyKt-=I_WO=;@+TxSdBpQx3IMIS@|Z2$JlUAr5dtyQ{87H36VT zqah=ro$YX<^U$GRDW_ko#3E-bRA22V}gWJ+iXlo_>B( zh-Zw`$2KV0#)4YF!v$9;v|m9(&}|?35!Q!9Na%AJ@^7#Nfd}~8ASnT5L==cOnDKZY z2nIxGvQKd_`myV(dg07*Wz_;i0$0t%);@n}X4k}Nj2@nN~ ziAYK`CT^bgGwBZa>~HKLD}3>Z0sMH>ZV3HlntqF|GZ?_>3=pjQJ4k zy$d`>3g@;L942O#?dP(y!K2|y*5?z`$i7i_ENxo_*)l=`Rg}zIAFnifRFCbU()KaA zF=_N z5x`fId#g}u4mCBUuT8ot(>T&lzuf!^?IH33ViP}$CM@h`am&0~7t1Rv4>2UmY!zOO zh_zdtY-0gKQi^b~8zz!KKcB1{*7W6z-C~hytl$7PFA!Kb#!-}$PdSog9=5@Bk2w@v z@uGK4_sYu|SnVFv#ecc-Fg55FZ|mxKSNrDa+Ng{FUH}{s7FVt_7xnvYd3@)*Isw)2 zxRwb+LZY+F{je30--Jme^qZ)GvKD3Bbu{Fgq}e{tPinH44s&DT-L41Whq1b?gWqpWQ#Mc9ShT)Q3bg%kgtQvo0S=3&+& zuY?GaW7lQ3Jmo7vhYm`1zNMKN*a3znW7QWR{^#E`wSol7ikKE?hy@swm~h9;yr=(( ziX-<#5fW-@j;(1GPBA8BUY@Juqyw3lEi5~9kVa_74nc8iQhit|;M+{;ximze`7l(P zcbp}JAw*$^1KABg)uy)*{`lit{A2Dudp5d%e<&iIql-`}_6wZa!#V_!LItH4(V1Ck z`i$3J!(+)Y13Yr-!5&3nC1ryyM|DR8W?PUXdnuM;jPu;nZWSi{(X^0r{J?Y3u-`~ znsz26tT}!@RViGRBAz?V=+yU@Arr7(W7%kK-eY^TF0L1pa>>bFX!k7_YAw-0Q+2zj zC~~a<8DzslfoIBS!T-#Agay#-n0nw#PUiw)zL6w^B?DL*zo*EejQSEG!yq}&8Ifvo3 zNCc?{!<_K>^gb6MV1jYg-xHR-KKZ5`@cT8*0YxrdMEEJ{11zWQPW0-o8ohV$0OfcS zMCLHJsVv^SeS5fLLh1q;5iKuDhb$-jg!*QLbjvR-k-Hs{e+Zm%NCGV*5DQ<{78b_P zj->7D40miic{nXK6}>v=C=;E)$A^Lj5qgsqYpR(_!1(whUaSo;P+4ImaCM_ zb#;*kEt}FR*g01HbDBWt20OE!8QSj1fDMN-&?maGK7_JQYuojB zjj>_x-W`0Se#t2kcw3fqq z^e2y8*DRgNfjNYyPkDJ3wJt}?@1{RN0qF^4!q)BENh%DVd`i3Sl5d|)z&l_a`aEF+ z-i^#uuryW}=0@!_h<#k0Itkmjuws>-dBBptC#V0~%orKQxA||UNt2E?)^HT_-!&W< zXNV0BGnrt&uR<*wZgYVKA8!rwO$sAf8HxH~B{eh+E_FwG515^t*EtN%?k^$ESm5g% z9qrTQO<6J%O<)`fdIm-lRW|U}unD%G8S1&_ccvyB7b`$+-ZvO*a%ymn&1PY!+I*KI zmgr>9Z0+FDp8BA{TpCK&V-4M(ETsPwGClnPbqlwc?#^P^FhqaljsrRAN7ik&OD>od zge3@#Kze$^5ublaRU`=+5%3Rl9>kYP)z^9&8Q~u{J}4NUyx#Y9?Iu~>y0+^Y&S_u2 ze(e+DiYG56ww2YPbCpSxZjS@Z0bHkN(Wf82d^yk6@?RnmzY-ta!O<~fx@u9uk?_zi zz|$1JS<4U8lyF!C4%NqBjt&m&HKV6^cHS>>&z|Y1{#$DPc>~xb2y9JEs@PD<@5uXq zS_^x0;#0TszrRMl!~JBQQWVHuhf=MiC9JYjYmDUEQmqt9?_UiNLVP9sCqfY2{o+rR zR`PqI;g6OFh@OvL`EDBYA+`ya|LQ^)PQ~vkBgj$+80CZXMWRy0te;=!a&({;Q5p!7 z*1x_18Ow-3ep{OxI**LK3}pw;II?oUi}JmLJ$9rXH*&jDa`&$4a@C~i`YnkY)_AvY zQM8mg%=Jd6GMYM;n&-v$^)axqaLmZ*DN+0a6Ny52a;M;aW?JnfrKLOt+Lx&C@;t>y zzhnea25ZADvgvls+o*=1(@~--bm%}mLMjfT5@!fbg#b|DFV9Z*p8P5!FLpl^c!GYCNpvivdR$RsF!WN{_v7#kJ^|H*!PMq-hH zE6B>#^(*=_;3jkdbP@GGH8fzS$0kL{o()V``L$_#s4ijQ4ISDUmsvX`UZc( zcZdjWj<)YCUB~#X$t4T^L5`22mXwsV9+$N{ckiA|OIyw8>`AW}rT~k#XC!Rofmh3{ z0Ra(-=|4pw%pgIXf~fU%&nu zDNJ~(aN1T+g&hHb>CS->yP~664!rc`2oIM|9#C$1GH9g)(=H*e~QufC&CMwDv>ffzfN)M;t7YO9Q_yAr7pa^90Q*$qM?eP_>F%)5&itB*U z=-4ZktL8ND?V&Ne|Mbb4!h7EWo(Wx%z(k=^p}hxBivDqa*<)FeI~a0gWDzP4VyLk7 zRZ@Zj5Lb=aX-Dx@z#uOt{&CjXC0#@|e9;Y`tvnLtV8pQk2%@bky>Vk9z6wAj6v0FV zE$eB0=nAU;w28)N?hxIusX_%eA#wbC1Rj zWzPHX)Ck%kMo1vYQy6^fMg!^7U1y}Xukx>1>DcLp8q%TX6%{gl9{Wqj96>Yrdmx5( z$u68Yu5)N;K0T88VW0p;D=>vn_Q2gr-Sd{QG`W`QF@k4OaNRyYvjDA9$T0v_#P?IC zY^UUf2t+#o8p#*ejf=(+U+C=(-G8#9BQu=NtRqFI7piL{zkyqkG9TMZ+rg-+MxMD= z_qk~{IRnbdDP|wuzvo-P#)}Wx zBqgR&{jw>n&}{=ki;9t*M3~j$`;@%y=;_nsc?+D*m`wQkI!u@leej^Zv4QUE^4@s- zDJm-qGy@){i>ARMp;I<~?Mv*yiHUAdCODwYM{lCk0?jzV1e zuPC|*1c8_ebHGkTX3knxsj+ecg#{tL$z9oja*c5iXD55r&!EC1GF$Q^c<{K_P-zY5 zZ`v;AFmhPRQ(yIwJsQqf0Dt`a>1)}PI_0mHM?R1sFo9pL|Fh9^hF-UPjLkJ6NVZ0k1hz+=A(cn)Vv(41M0a;KBN!Stdah;SnrR1_aIW0 zSil6GbO-(>br|eyqzUoF(8OeT!}xdj#=-apM@-y#j8+h^+-ob;Xye;;fO4Y$1=bzy7u#<-s84w(3*qI_9yKV4f zbB?%iA8I;8svhi=j?rZZJS%_v23JMscXSI-BeE7w6<`)y{CZMDXv4gsCD zS@ib#6yF4(R64GY4W|IgSj{)3X6yZ2)#)+w*K^JoBebdf{=(-qROFlvVZTJZVg1bA zAN+cnnF(9+6eEDO1bAfLSr?coY+s7_q{MPRogSInAN1ZLm5u+qcJQMcrltsOfV||z zVjHP}33RB3?2;5E%^RDV@N?`ZuS(OcpFC}C3jwKqUn`P9whb#sI`@=w=P_Fnc~TKr zZ5;W5BNAMK5Z9aSUEv!M>t#grh#0m@MrlYtXxqHC7AoZ^O2V5Y3q0t#>KW6StJHEL969O%C zjv1H3gs=~zh7?+Gu;AnSx&i{QKla(PEg`wAF5xn!RrHqB#di3vY#4ab6}fa5~vk>Ge3h53y;cj($9 zx0&UdZL@UW?B52Y?(Os?o; zVP!QB#pd5H_sgQC3&$i)@T{p}HzzCp~jzu;lA* zBOw>yxJjOcyKP>e+JgAQ6ARX>(vfaeyeE=9=K^oGq!ke_S)pdFBXTY^B*s8=KN z$rr*XZIB!&NG1#)+gL^)7{s6Ge;MFp#L|ZYTJ-MTqkwxMRCB1>ot%^-Boyy18*J3q zqk#D5AJ|0vHDV#p4^o};K0}Hw7#}Ua7?p^^7%OzM#9NC(&QOteBk9)ji{7y!#*w9otv3<%ZfL-BG9wPAns8RUoSHU z0*i;&L57@jWH4UgzynT9Cm;+?U{Zhi&aGRrf}LW46Q`dXn!c04QNIBL+UAaskL%*u z4*~ThnJx1-?%LIvVm9aB4V`r%gyb$F6?&d}1VJ3WJRpbJ0eY7*Hgu00C!Pmgt}wi7 zN@}WnC_^<{`>WSx_3E)*n3Z(xI=)WyV-$1(mC*ZmI{Kvnf>lpKT<;4aQ^`u(h& zWEl}86p@HiO@MQ`B88($aUhgS#Vox0c?$+E#ldP6c}#v-ojV92$)L^58>#{G2MqYY z(Wa}3Hy+9nJ(`?s_MrFWy7%u#J$Mh|3%)K*e|H{KMl)u2Y%I&PVHo@PM1HL$OcG3U z`h_^%yqXUcEosewpy01?;mjE{_ZjKw6K!q19-sazKtoko z*=NB5(CX+olr3|a%P;`X@14!aLzr`)Y{Rmmv$i(l7K?{&UTqT!d}cLWiru^SITUbG zEGlko9i0*Bg`8k*(0@`XML)#;BggL&yFG$zD5@q}TUMN0vUaP6NO1RH?t`3(vG5-- z8yd8ATBxiDZq<}`*TH_E1|qRyo8p3(`5ZpX{QC_ajOPJe*r9iwiBw>IO_mAHBodZM z_Gy%Z=f?v-@NVVs6>U?dTXRaWBPaK8(_m%rE#?vdK7IIbr=-N@TU(9$X}90@hC4Ws zu<-iq{XpOoR+~Wf8ZaPu-8wK7ustq01tX;brf9<|ZVy~yIreD;`7clRCef~~E%-uP zb0d{z+r=l_!au8Zs8ng2jL8&6Cd502DUkZiK8Mqc@auuZFk3;WK1ml-2tfss8B=5a zCZwiApFWESAZX%HzA+!dK1|%@Zm24MK&=oHZStQFK!HlMNxfGm+7<3yZ_SvTRq_E` zLjEQjjWiF|W29NpAkTZpOeIyxcKrB-_u8bZeU>iWzjG%L4x7X%u`x)HQp=FB0L>CB zFFMaX%@CL>gpu>sZQDQ#yBQduXn_pKug^mpgPI8valIYpn3Rt>=OpMrxbO3~jt8+z zaBd$|4f-yufTHLVIKO9;#{WWt156kQ>wMbY$p@B!An>y2g_I_*Sv+CJ{c=A>&EQ1! zH~Uc}A#Jc;nz}zRk!$iVi!FGMAD*0jKOw?{Nr1o}P8eGU1&2eq7MfLn&Px&}F~@(# zTmCOS+^-RP}@;cCpqd2T1mfw&4&NIIsgMI$(_4*gL^|D zq1_lu{R7=`S#@rg?Ztldr^Uq+SUT13;@2Q>WwZs?@7@i8ghX(rI|nwxVIYKNAEg{| z8;O&^I#9;uwv$L5g7ov&w$?LDhh`q8Yr5$F!j5&Bmt@jFH}}ni`VWIZux=3C4SFKM zB;DDro;_mJC?`k9tA|*MHEo($MDrP@*F<}X`_vk;2oxh?2!Vx4=DBqHm7!`U76%!$ zSd~V;@jc}0vd?#wN|%YfbxrKj$6eg8Q!DE44UQXkcj~Fpcej?~;i=~7=4CN&KARs} zA#Hch{}gif-%Ypm=M?>HTXE>jqvt`5XCLL%e9QafvDDXL&Ya76dF?zlA{Ce>DIKN> z{{TS&kO(p&^BxX>VuWX&EP!8?-F1oj`@`TRS$ouMBo{IOKR{WC`}oAbCSYVI>(E1= zm9l|>@fd#E+N?Ly#JgVc8q@2;$B*Z7hyhTU!^tF`#+QbZ4phvT5KjR>K?H2jXTu+8 zK}JLOS9100%XjZEM_^;x`qJ@-cgYiA!=A=L-({i$1qb|z;*Rm)dWj(_U5quYB+zDfhP3Dozx0B>6ZlTLG)y~tQh#(bH!!VgAzZ_sqAH^h} zmMSemLc2k&193;QYuCS*F9)m|hOP(=0hoAZW+VJ5OimfzfeZovJVmZBd-i*xTWRTX zAD<%VRBVqU=7K;2IjE|rV8jny&~wQWIv4?QJ9%<4VpCQ_QHRk>L82OGxPq_@;s=xf zbfDLx2h^xQtYI&}EyWG~7=E(UmlWSb2Y9>iUZ5Xw+ky^LY4b8M8iA{TmiESty}Nc% zMA5CMB_%cSp~;U-2?5Z7q$!J)qQ20-QcFPU=NZ735OAYevjBZKbyR0i4Cn(W=_&F# z6jX`aAMAUv!NC23!^sfop2|G_%TSn0{6G3saMp}@SN26mza`%?OSjR*c%UbP3h>q~ zQShIh*3@k8xWHP6u{YyKt`*70^JNU><0?33GkDP%gN>jtLA764y6@D$$NZ|W2KgG2 zaEB+#$^%TVdD4VNL66Z}dE6$N7*GHJd7=^}#AX{w?dKK>U|RJ*BI?wj+-|H|+iy8| z-q6EGEfuGm`7>&VZa51ab$S(!{K0ivkPd0y&v#=D@E~dM}aN87YPk>&z`6NRNY_Zt8(LEX(y~`#<~#X^zY}FV>*skFF7U3 z(Xz3+3HHnLHf`)5Wf!x3`}xzSf1cD#ICu~%p*9^?kwAm^LUoySwmNxibbWA7Am-$# zmbesT%=Mb}SJ|@+uLTH)=F)G;5~ZO^Uz}tXb+fZV*Zc_hhU>`Sq-4Qq09URh+}ozP zy>VI-Jm(Yh-ynh`-FohM44nWTq&GvmR1OB*3eOc%Sn?)!Osw+Od_}0g3afOm4F4e6 zl2h`+2QRLzg_6@D%5KM=JssTiLIPm2!(QcV@QwH#`?7G?p^tE*mp0m(~rc{Evmdgr&qLDu1?5$hJPTiRvaMu1ipo{`W^mWrQup|9|-d_U;P% zHlYh3+rXTfr$~i9+}=o&`2-4^w>}ch7-mJ&`h5cjdHQre=7>YP*w7K2aw+5a@^=xD zB+e6bhv+Z;(%w=?hBgYkP5Kf#%9_wa9B`@?zUbsi0}Bz{Uhw4gJ?-P??{C__zw)ZW znnRSjlph)~*Fr5kh9o?L&6R!{626mzL(6eRkRNzHo@>^PDnHfdKNcD_$4J_5CeH8x zkeKrY@yAtb9km9Wxx&>Shwfl!B>b7qw(7FsO}*8y2cjsfd-Dc7Vr*zv>QySak_AJ4 z0-L+>K_ew48bEWgV!8v!4q$PB8+e4orY|dT9gMuS>0i(el`yH3t~Pifx&ye%T(Ej_z(t8etAv zAamjTbF##LoxP7N>rNaECq}`Kr-XD(pEe*1lUJq$O#8cA1vb@AIVz)Nk8eZE>wBUC zEc+JilrLD+w`b26X&JL2SVA1G4Q0_!qNAM2Cc;5`&^CQ|zw zRN?TxyuAfG6oV8kP}Uiz=9QL|bko$dTm6prPTg6nd(80nMQZOVx~qkz-pv2Z&D$0| z)eX17z<_m?2R|>PA!bDc2FQ=bFZK2&Ik~w<)Ev9ia{L4@VT6Uno7!5_-}gBH!h+>= zJprje_XyO;D4f#*MD{@|%C4iD8mI~XvX%eRRzeIRD^hF2?SvdcoD0dz$p824HW(=U zB_ICxr{WM6Uoy~c{}KnRzuRn?1C|D#CcK7Mf?bH>}OyAy9J>D(=I3~ z{J^+@vvDTt0BnSy-k&wYE7_1p{-(X_I{YBeE-TLdt{&-6Lj5H-eJCXZA}^SWc$FZL z3M&Brp?czL@~5-Z?l2lym+QNH`POy9D)q63JD7x?^Q%!^f+LRmKmVLYnL;B*<^}%( za!gf|6ZqGfn)DJF*6crYXi%R%=gE;E$4}IzgSb-qF=z-I(a|=R#{xYMVOe+8w=Z7~ z0g3Uf+_HHyQyT14$p2NBa8VzL(?@jCLFpJn zOvE8}<7Jwm_TRrq@|+>$fnqKO6f znacQ109PP$NfckQk8rUDor|m1q$yLh)zxWm6<*NNSZ_VbxPpTC9h?E`eBQGA@RlmJ zZ|J!J5HH05n|+nFwE~T6pX%Aha_k${$Og2;ALU~inwt7! zV?fuoV~1el<7^zc0;+8*c*3bU7r{3ob+kVRUPeT-Vucxe%53ir$L8X4MIp>fe4Oor zvi8@jS4M%iNMW>F-PnkMnr-po)`XqZVoyO)w!0TY5?kH)Wcr*rTO=h|6lD8jUqJB( za1sG2ke^4F8aO%+NEF61xUjt|AO)wF!<%Fx^zIb+N>LHTb!z$}*Go#cNs|wbT#3H~ z$RsoSiZNHtp6!zJo_-u2)&1(~gW=)m`W1(pxqEnU#PA`59vHuGA97Eshh&qVbU1M5 zK}5CeA^5~}`G|23vcj;GdIT`p1$32Q3A|bSBdOtWB)xZ(G7a@qxMThM_jng!w0Rmr zgV>g%OQQ)V@5054@IyFkHhX601&@fbYiMjdh;y&t|dhMu{bgq`hizR4B$l5X-%AXlbj-UrEEK5$b{dFqH15QTli`cNeaA}aL_MpO5rt+z%FHvBSF^ln2gvs_Nn0D?5g$Z z3?B?iZDAwTUy@MT(UQeyv-r8oFEQ+N+UM|ix}J!l7p6hhH(<>dRB3ca60G0-<>wZV zX!`UdlP5UK-dFS7jSJGk3F3RARhQtVZ@D6uX$}|e5_rx#sQ}Vk(c6@AW?|_Q#uzPv zxi_6{lQlcj3FEcav4JF@f@CtafJ(a2Wfpkh%S=*>8Ta$PLYJU)gK4@puG7$4MHc~b z%7&^E9<}Tnj)Y@?0aq^k+4FPD^^n9fzC#hnKfp3`(aKCurvxSFNHmj%$^5|23}V0k zTG@h(aCEW$>^oYoFS}S2Y!&WdhVfmXF1w>fBy-j0|wPs9(Se5{L+$j*J)E;>1`ujEWMraPUr0Q$IgHwW~}uLfK)XWlt4B zmk5BOh;Kk2^}}l2hx;RwY6_?w5cQYw25j@Y_H?jFa0Uaw3tMan4F?loxgUMW7Rx-F z`0;S*{PFAP$XikW_~FB4HnwKy5K35V7kRFR`41*(gqajyu3dzL5l?(C?T0@(kYf7|26!Ju@LMlsPq65-M zg`{R@+ClJ!V=y~o2EU*nx>8nlTDNXYeWmpCO;hOzFl`7oNu6^}pN4gZLPcQJH0Aok z0BmZi|M-#QfA{81nJeFU`Yu}EzI?fQTDfJt+_wRysbRr{7oH6zBUUUrI~>FpCm8O4 zcy8MVp9Cl`%u~a+V!j5oR4-m1Oz$@tW~i}V%fX(Cr{QY@9x~J*mcvt`#-I!VJ}J}Q zo0KGJ=_Qebtw{*pMB)I`_^^(rYNl*S;h9>+j+z@O=xvJXK64ZS(F@kMrfVlVb%ON2 z>*i38avG`Zs*pKcDI5D-w0MMz5RO8wGSwh&Wy*o!;jcS(yUf7{Xu`FLF@oI1&btR6 zTbXl|d3X}r>5N|6JYuK|-u2H`aXqq;jb z4(MJbl7fd1ySg8wGRxNWUc5L)XNxHuj|G4I1%?H!1L>Wt@vQQrOQ01cC6m*@vS0XL zKy?L10DZCPG;B=(x$C=Mc^*^Qw}24M@8G(iAZJP}HS?1Wq=eg z-;#dAVQD#8oX$g3G`hTqlJpxxZj`HBk?5k*s`7eFu4HbgiuO1TgD7ulsgN2@)g-nx z-GAF4w2j^-e2=a^VG#&~6nw+Z0#8Wd4OIO*3vh0JfH`YjBU5G2+2fg+Q6AFJYCqK6 zml(qyJH`T#2#fAHG9PwLaiW6{w@Fgbz;tHCam$uN;YyZ&h`<{B&J>Q2Y7+-k(%Rrf z4W)7UfN|(u;P{Z?WQ?a%^)ek~{>)P2C_egvW$c!sai`ainzy4_AUtqEcq$nWs0M*z zpI=x}gl{$CPSBcqCva~Ut!f-8X~E+1BPhH5yNJ!Yk6I;IG+$YE5E541%-(Si*-1b5cR z4QEGS443KqO@@lCTlTkp%9l?5p%0@BF-Y1N@$qds8rs^@>}PB9`sdwkHE23Y> zWa%UiBEgW~PEBdKTR$n$lr=O=l&Hg)M(&H|VH%!1y*nrpX@rVX zK|uk`VB+k93^=TJ9cK=Lwx1@=M=4VWqz%`DA78%64!SwN%35x0x8>G%%F3+gF8tYv zCMKuzDu%U34j=BtKw|uAl25#M63`dGrCX0nOvO1-Ig?XuCS33;l5YwP2*}}nxm~?R zSqTQjs*jp)emzw%?&Q`YeP{x=m_Nuyq`lhTA=!m^E_fOG3{GNB0AF z=~19N%-kVLT|R&QJa;ek*fbXxbe7kwayS-=9!u4np2PJa##5kTu>rtRP{;qt>R+h7 z>*KDN>h`ovGEI5(qDX0z)==F3YH2A~wN0JC`UePep#4xL*rIIvq>u$CU*|jAfuo7J z0gpS}O)vEX%=-{J=O6PQQ^=$yJY^#+ZZ>{?gN^6Qw(7NEf%*B%7x03J-UcRGw}7@e zYdx%jhx44S1m`;$i~kJ* zG$o|DOSecI!0hPf0?d96wI}S{xq3B1rIn|E4zEy(9tKY^FCq6{VKhSu%l$M)9w&6* zu7-?(%;32^Rhth0aJrq?2nX1H{P@X(WlQ3|oZTi5g3KtIh`Qfm`7PK8bW)|I|Gn`J zJw}>rk`47)mU-gONiBrD1(Mg^{_9i04;A|g=6h&enQG9_FxVh0af}X|{KQ8Vgp&@4 zIWoj>Vs?gmHiVas+lyJ*#bg*4iF$>Vl|a~(BLv=p@Pt(l^vgHUMQpv;8v#l879|mC zvw{QL{`1%jfd60cRnd1H**hw;btq^JmyGj9ZNQr*Fw`cp8FUDLP9kQ01qgZ&KDzTq z#z;_Lpk~a@_P$OH$u}Q8=5@hle?VtJi|gcsw+nEgg40hvCsvT81-W6T6B1a(>46*( z76o`DBptY3G&SmC5OJBo{V9|n{vVp`gf!A_=vndbI9?uIzJP$%#&F8$WviBic|H@( znZX;T=GMl8lL{Mf1g(zeM^}J(9y%2g+v#M^x!kh*Rva9{!T2tk0&T1Nz;%iFP%E#}*zq2r^0UOg{wJ zNJ&tB0R9(w5swje6RIwGLN`LM!5_v-TeCqocw|iA`O>+fNKc~29`j9`Kxf0O->?;f zYs{F@SJ88slH)7pg|&kH5>lc*5fXj`5foggK$(@mcCdU~nq}n90OVo%#5YI{%0~f2 zhoc=ZfLR)55?3!P!u_H&L*{oH|8vvD5zfZK-t2$=SsNJmp(cMmwKQS(!k~y*r+Gdc zaS)+`6{lEO!6xiK%>S|rnl;Rr5WKVcg<1s>L43783lO@i78e(vU-F2u z?%mUfg6IG!KC%>%T(i1>;K*-qXMY)A&o&D~8=6|}VcaQpYCe#9gMleX&D zfK@pb+1V^3sHVu*H%Yl$*iXPKr%u(Jz4JycnZJT6Lrq@ zGM%Fg66<-AHlYRi@*kbXFCMz24S^bdEjXj`?wQ^c4k=QMAmxXh{ef!$5VNWF6%b%E zvmJKHymhakzTp$UaDZXa5X;lfD$^G%TCgC@7Zgh-wHJahIfe1~IivcKZak4nl`fO0 z%R`40GT^|BnhPk}C9{}}Q>B-CRDcNrUH?aYynu*SHE?a6|8PDD(^#=Bq&0dM-Y^9@ zXNblG&eN^y*9CluP(cyM^&y$Uo8))&Y)}|_xv$nHJeK_@AF#Sc>6M<50ToSQ*H2R! zDLg}Ry~o)ltP^nj=bs@xw%6n=hC=4U3?Ceu?yHZnahM@%TUgqWl$E94$qjy>@0G78 z=@p+PYlyLPVa(gJWIdE+2$M_~ny%qm?V>_VXLup+jXYq8rKLf)ZVb!;!a?sP>WVxk z-t5iN(hg@%BGYWC^DGX#%>niYJg2u0}-+ucLzyPfmAbZkL7B-V_y#b7>a=w*ZC2!LPr3{aUEmOy9^n z9UR9q7zeCDy?S-V5xKhh3bxhAy{V?jgA_jS!vxnpH8r>N`_%T{?J7`V_zdJyR(2fx zXuq+z4wV}{11%p|T-X(sPix&di(OO?tX9tdeGqy?YRg69EJjOAp?ULkW0ZMe_eK#j z(Xe@V=;|GhXrW`rq;c^tn~_UtfTjSQUAwj(f7v%i{}E_!VXlXwFt(3k1cBlaU1dqh zF`VO&BfGyRLkPpc+FDkp04A{Ghkd)V(9OBLqD6oeCv$cd^$4B`QBl|VAS`Yx-GqgM+Os<@91KE_Bhj2$)S)2$Xti0T2yUO@iq|~aN9dkIfu#HnW zN(%&FnW!DU4SnD>wB)0G8O{(@6Hh-9Ly5@F4)5Y2Lv&_|nb@ae><0exICeG%{$kRz zY16H=?wxu{FaIt25(#uy*Vs5oTX04ld|AIjT)~!d4((^SA%QOdtShf3W)akm_ zzamIC++7;5;%E6BDW+24dEzfMsv|s)heQ~EUjq_JqLjAIBri}JQ~BGezrs=l^;*&c zO9pq`XRn^*0n%g6NjuMV(@pz-<8jb#q|W`-eg8$J@LZXaw@fMpIXN<&SFgw^*!gw% zS2=$@xH0I5*cJnAX+ZB=(pUyeq;?(>T?xW680Kwtv(MP%9l)v}sk1QT3b`+bo2-EQ z{!yhD#Qz?{+Vg^`PGn6Q{rP9(p0373uB7>TTz%5=?QF`XN3Qas(ylJaqZOV#X4!b~ z^u_D8vs~CRch6@@%~e0%6c+1H2pT`64+fw1bebIg?Roy&)rJNFfR57aAA)xop2b@Zf9E@vl+Ao*T{%1Q^;WN8VKzzTO_{8Nr|kWO z-D-jNhi=4dsxMTxpPQRmLf`(qBghj3M5dh`t9)K6WAvAE{=CA{ZH9`F^-vIY`0n|; zeX*Y(a=aX_G~Ecpt+=?E@c3w`rno(3dbbcfX5m8l?_ZJptpjka`f)lf?JW#jT0^30 z>q-w{ku}UtdhJ4EWkLq13Z1j{v(4=ADazCOQYIHSr{xAHRM^oA$YQ7Hv02k_z<|-~ zYT_E4g4=@n|6+UsF)if5Ts}Timnzu_(AE+kyS*})^Y+!JXMzh0kDa{ERz8X1KeX|% zCxA;SU9mF3G9WSaboe?cHa&7(BUb+VFO1vKY_r&uLiyRjyMFM4pTyU2E#(x-Duby3xK<`0^T$%uT?L_3f0IUrwJr`}>EcF}$3! z_rd_5ja7p6m=fcM+7#y}ZF&)zk+BTu-ThK5W4ck_z+tmAg770MbFHMKRu_YF6ul#A zsaC08pi9)=EnkqAYops@fmclAa*?zzOCFWKkBrdo`zo=6hf=#7P$JKeh7L*qL_iy1 zEkw0$D36wTWc){_9KZvtM28W@Fhe$+l|6hZbye#A+aPI9Vd#M4q-DMXKQebW5m2It z&&-4%GgE0~H{VAS4l~z>fur?o^6FlVH{OxnfolSO?O2?!5*uQjq8nW#7wS(@7S!F91W16G?h@QE5N0K9^VbDf(tCpOi%~tGG}bI zfBz_G*J&Ane_Y&Hb6oN9>v+Q*GzhrDFFs}Thw*RYaa83LXYbT0tY~sn1@}7+R`Tso zXhk5Civii9>Ct?279{Ei7hCooW|1O>9drE1a=6F`1CC zY{o=|M!O%9_KCZ7dzebc)K{Xun5 zm-JMG89d$9)z)waw0d3~k(T=gZ-WJb?)rkllEMr0G2q}6zx?0lIJAP3?v&ZQNYEkfDoqt^7g<>#0#-qTu%mUi zEy4eS{vmzZ5_k9bKWi^)fePLI{hMH@3A@-3A@HAoj05zogLuo108W^@A8b%&jpTXU zlLXT@Vi<0mNalHhKpLpLQ|bwV{M$oJ&`4<(9@Kc$yWf!T@~4nUp^Hq~-@>FgWA=H~ zwo@4y_koAT;EZ*eL3&wmRY<@YPtF;Q__gNK-Lqm-t z4}pn=UXSkI$G;5)AlfLNN#WkB)RDkwOh_h9p4?SiTjAFaN=3+-SSfM)WzP!x{|NFp zu2Pi&0N`87eCy4}k1P@SN7}v)ES9&HHKBD23m(>Rf7h%5E@u3#wCad@y=9Zn8AkX` z3LhH&0aD0qqRa(_4U_yhAjMu${57WdG2wZzhF=SS{>}!7sU;;%caI9+Dn*LJp0>J*&qVEz#?L zS?gdL3=si`6B&C~NvPExpADJC)F?%lsHo`Q=d z!5Fi^p_@|B|0+g+Fo(S-q*FL|Z0EN``yRR6iE8HJg$raON@we%-&w*=RbF-2Y(}QX zS)|d4WmB7=N-*Q6tBLhV$|6-^%M)b>1sGk9Xf^#yWA!ENHo`tUHj7Ouyju!xi6D5y zCE(9UnJy&E27M$=6&{$m=2ed$vl}W>O0(}SK{Uh4^-U>oKbT6A;7vAhr6N|0-jpIx zPwMLA9w2X3ce+RWQ#fp#p({e0`XZ|EHGzSt+T9bJA0p@P=M3RDvnDJf;{&4hg1)>) z&V5rTP844r+13N&*?;Stas2T{|k`EmsQEiTjr#z7Rl z*u=`6@dQrc#t9{eu_$u$X2KWqshi{vw57^gojc3*b)7o(34;_=0?eSepy=T;Q811k z4bKR46Al4sB>NSK0>(DXc4H%>PO7RsaJd?~$B0~X{P+^^H20N9&+bRu?-?z;XdNAy zck4#?PU$P=dQAGg}kGT{_>Y@QE{Ku(3Pi%o#U3yO#{5KomWA`fv_e0Tyo6Nw)Qu&End8 zVVaDyFsxU`ZSdg8Ezqwx#TlIwKCfb6!!KLIJd5SJ#>O|Qs#+k`aCF&6E6`}_OG$)K z^|NQwK!sNbS}Mheu)#8OKRu?w>%XsDkk3!k4ZQ`hPD{-rVT57rb2C+0Mz@w9#mN5v z4t8SiP+xp(PehvKcn{Oa_I{Mb!h@ezaetX&BeH<%jt~(16Zb?a zi{;NQ;5|lZU7q0mC{q22?Pz^28wI(*Gn4z-;F3OVWbuh9FIY5fAUKnBG}?Y@m?s5L z#fZ3yzhqlHg1yF1dP_=;my;2Eow>ls5!ncnjL?ie!ZP@+VD^oSsx-3 zWPe%OQ5@I_Q78AC0&{ij2qaYStRspwDx~Od`$5eBQipDHqAMcq1Bg(sk0Jy!o{HMA zfmP07ADuA?oIQJ#nVH6=yrV~>C}yr*do}bXt`6$JFXzr3%2u21<_20Kt^D|ngO41R zd)l&e7K|PSEB=Ux2fX4Af-2>VFa`65rH6uafHf{s)Khsz?QkEUqd2eFn&L~90ef-n zTGlU@pPDlQtdi0N2ATbdsdnmO=Y=pg)`5m{2&st-B@$DXKR;;;h1C!+<{>WxC<*E@ zhhgOK;T!w5EyntUrOx|dPEo^?zQP7_Df&cLBPIIH}Y*~W7SCwh8Lj~4PYiGSH^%+dT4F#_)0 z*v(p=VUt+04>j{`_oUIO4C~t6c{LMniz${QcY7+7FsF> zPCOId260?n%xoFvVd(FlD*>77$MMn`{V+T%Xygd<8Ed@@7~+yn3m5INOGenkJCi-y ze}@BjP0}PNz$}>IZ!l6Jaq(9wFVXj$qJg5^#P=v0=_dgZ{=9|7Uc2P5hK-(UaTC?5 zKZyNsf$nf>P#Y(FF0y?Kqs9AoK<6*4x(hBfYu01xfk%%7Seh$M;9#ans%FzMUP;{Q zQ2q^9fklH9Djn`WqJ@$(XlcOrd>qFHsRFW^Jrdj5KKi=!D4bgCXrn6dBXeG{`@5{Qjv1SrOD%@t06i zUwoMTs5kO?5~7$kd|h^?ynw7z@FMB(VYz3j$0yNy@Loxi24mK)mpJf7@N;2Rm;b7Z zEa8ORMm-a5JAwW5e0IPac3o6w`zQcJ9&9Kk(_&~`T1py2g3vAF8vWuBf%F)CBUJUc7$I+yxeN;?PB^t8U%DpL6k|j&tEoX0cc|Wn`dcrK;uPCvA6gb>)gc5J}F? z{!FKl-7|tn2@^X)V)MxHX)joPC+A)HNo9^)vy?s2Sy`gVxDT5#Gy+JV`=dA&%k~^H zM6-S%7!AY0rodoGRji7op?WiPqojmy8y~3LIp1f>T3KBKmlHQ`CdafY{>A z<}6XCWMKjmfI17OCVEp!Gy*u|;_j+_SSomQDvxdyFeaamhh?g;g>(bL%IF^sI(!^V z6d=H}$Wr015}yukCV>$1VfID>=E6_mt@3<9+En z`}X~0VK-US0g z?mRX8`t{@JhOohaiE4Z5`kgy}jL{1VDN5nxKd3au=&jM;5c<(C8$_%&w1HlR@ z5+K4MKEQ!oSSSu(gC=0xw#nd~lo=d0Bviy|DA|7&G4ddQ7B~=GY8V{Yz8q8MSL8sU ze}Pm$Szz1s3I=WPg2+t;mHx~h`P4A5DB_U3@O^0v0Lr0WQ(mL4;eW!#LgqMm!i4Ax z7g_>d1GyuroC7@a-JAkj@EZ9T)_mUc!=&O@PNz_ZuUw`mm7&3tyufzCX zp|Z%ksPo0Lf0S3P=ctWfXq6At#k9A5Y|>GYY>|G{mj5u%!+_P&J4Z3>B4Cyn}|OMIfdR~!KKAEdD<=|mTCF^xPK{80s4gR~R3K2LacJB8_8z@W-n+F(3z!u! z!}jUP5A30*S6NZfdV58Cy}!RdBN2I9b^18`_d^@{GDD%Nsyx5pXW0p{KD2TIO4|*4 zJmtcvxt^5XY#&02nq=NHHngLOO7Kz+IPRlDmo;)_jWC5Rofob`dnAnY-BF#Z+V)qCGl#3=`TQ8#D3ZESi%WGfItO` z0f3j0fs4Bt8WORsix%kA66ygI`@|DUaMfs}R|IV?t&Kf9YG;vB40j0Yq)DCN zk@PW%0mJxOQUY-~jX@HpiIf07M*;Bb*Qb0yR9-4;f5-t8z5V+1DK09iL&vuNkYJbx z7X^w8Od_&@f>=zU8Mt;WM;j=H=Ukjat1eF7Ah$A>LsBahoYE3oLfF zk3eC33HPZ{qk?F1@wWM6;@vD=ca?4$Bdy;8QZwy#=4mM<+YHAbNr6@dbXv75&T8(*zq4XJ>(15Eo~?>O;2(2`>ZGk^+f4 zO65bkVr~zOgz!xD!NR5zB0g;!t1^UxD}IL_lqZ9}FyO zF>o781Aqu&3daEB?aCY5d(!vg<(QBqUJ7cvt$=yAW zUsLh}Ll*)vv6~U3@{&>V3C?g;hy;`AOt2y%_M-Msjb*kwMid3- zmI6S`@ENZIs3PQ5Ui+8NpDT_ckAnaW$E^rWwEy3}+ z*;9K1a+1L)Vn9$MB>VsZ>aDwX7qb15A>ijr7cY(pZSQVh0qK^uk`*>7CQOqVBW;)~ z>XeAS3tUHh6D#clhj`mBAwV(;Ic&1Ftz`xOJ)a5T$%iVLyi`hP{!^+jEhS-L45on0 ze$;x5hSjqpF0S~r;2*{>QY!^v1zZPW$53P?UZOO&G>^>3;caW#bNbLBI2dVOa0e!8 zQDF*}2s~;V%SQ=w%m4j-KZ?1QDTX_Eb1Wds+Ko1nhQ~RySHC^)NXn=*jWn6}VB+JL z>=Kgna}~UNu`NKGdEH}}57_nIy5(3KXhx^SEAa0(d^koszmxV+$?$d9g!_tD@jTrA zQ+&bV`3<{1AP6sP);o6cq~J(FpR_3jsX0q}l8kA2V1Xr@fEzI>Sqo~bWe-23w6HKa zJsq@dHp{aRP29N?O4Q0YgE0?4GJVkS6)&&BZ)OQ8^mdxm*?2vr)N_qA#7t4q)IhN3 zcu}QxXjkE)O0JT72`+G1Dd7;7A@?$%ugF5`$lFGJ9@~-dM&usrif(8OAnk(Pa1tGE z3gv2-e9pX)(fW_oXmz1T6e{#s5Cs?k2b4M%FcvcJ7(lp;ce2QrnKOV$@jh{I_)Mn@ zDngEY^ZIr29|@D#mY4)VOR4)pKzQ4Mg49(_P2n$of2AR9l!0UgdF^FSaypKFPoD#s z*UmKnK>@_P`SU~9rayl21d}i=`wAwAw77DoltJHUqL~d+8&QjjT;+z>!!QV6mCdp` zP&W0Od?Z0mCQ*0M!my7u+LB#2#j=IZo?+P0!@fdrcT{DMjeNdxO-EYNR1OEbyRkTV zeXoF46%kLCn4rrVN@BG;FhGb-W?2eF-Ip zrd)HQE{WlGs{xHQ=ig)##BMmg&4lAxJ&{!tq+Xf;)*uFT*M}=ffgb;F0wx`xPIKoT z;$t{-e^w3pn%)f88{I~T! z_CD?iDE3L>P(KQl|HjqEHkN)VS1d?{$Yn|6vVM4gZD)!GQvV-0vOdL^osJ0!IiAcvza_%QNio6SJS6z%67`GMI>C+K+$De%hp`n3!2ynD)G*uxP z96XM~Aa&h1UZT5u)uNr|y$HBfdk|-=!H3Aw@(2AQMB;)8FPAD`ef&59+Y_RLq|&ss zpJ4FBL{Dy{yx0~_3#yV3k8V22%6^Ln=nV>_p409&?Qn6pgHO z@m;271a5eiqV8l$NUlIsaIBcUD4fs)qv38JnVKFjJ%T}Q{nJHT4lu=@v>Fjyl^HHVkuO#Tv_=zZA!$9K;1}a1XVo&3fZ){g(#>av^msYSt;u(vq z&UqDWAQ|hFPOnVPY)V`+%2NrT5rCgH;^f83nh0(`pinF=CXmx}+}Jk;B+a4Z0B}Xy z2TkxYWIHYf#kRH)dhlRv0F z1$5)$#cJkM0|%+|_sZfL&?xG@=!gAA&^{!U5B>-zeNCr{?go~_i@6-C6@ zv5s}aV`-zcwsxd%4f#GLWp(Ag0?Z}gVCky|tL)xJt^YO{K!oUCb`{MWe$>VbFKSxF zlVLDSiL-*ly$o@flM`VVZBhKc-TbKnmzBKWQ-hVIbd@LFAno9x5NmOk+l7V`i_*td zB!(~?nLvteFb0c2Z2#V8!YB>y@k@}69{1r?+^T4-B^h?1AqX}SIHos&6|YiaIzqFK zjn_R0cXYv6OoSUF?U)8{1lTj)V%)grPo5yV$0ZVjsUMMF8lXntl7TfM?{3UT=Yi(u z2q9FoteVGB`W8ejW)tz`qB>X9TNI{^%~1;2_*6yt5BtNDyN_^~X|$p+IwUP5I>f`q zNbUF8k!|+2zj|~xEDO=OB$qaHxtv<}v>AG~q$}kySxcT4{M#O2erIj+miQ!B_2!aq zTP}{7Bm_3k(_lO45_qf9X*xA^CZc-C4@QAh`sQiPs>)6tKYSluz1Dt4S z-ruf<#V?YajyMnf@afa*M!(9-E*}mMa1PJ-69JV>dUslI`l|tbtq+Q3+^+Tg#diMu zzZm33P>1{Mlk1Ip>amL#_r9tA#iD1SgvuSZp+#WF0(<+TOpdQGTIn65aXADwNKc(n zUdTOx1cB1xJ8l@~;=N8s2j`C+#U4Bb3bo1Ugy4sKs*z%11FB60E#= zbOOKq+=;r3c|-d8Ur>bB`=z-#)QOxv8;|j%gAKhB@+6GZu+gwi9-^<$O~>^FHN}EKA|Zdg^4&z)2iWs`eVX53S`p-kWQ}XH7aVul-1hm;hN4Mp zEDubDq|R^Le$7)oN+Dz|4Yq9q$3Hvj5Z3ab^g@$;(>HthP*5;3P$)Q}-5Q%hP7W;0 zARmpgk*of@OpolJtgh#mn%Y|ECqQX-+xp|GT27r?W!}Njr6wcDe9a!$+N7i^7HMhO z9=fL)p%>Q6hhEj1QW{X)=q&X0+9vY+{J%@L_FYU$aVBlX@y~#B;4zRZ8k(Azu*2O> zCF+}P!9yD|#NNk1QoT0BdPv8nFl!XtLEL9Mhs{J8fE@1%qE(DLCN>8&y}Cvz&-F^R z(o-!Ps_w|qqvN8YvVCfh=dsBYUlqDb7*Rm3a(4au*?RjMF4gB8avlogz-0?`YQ7DI zP2LNE(0m0AFE{~?^YjIUBdvfJ}mouQ!D;a!i`!; z5_F^i9n1DUiu9<$Bi67c9?4s1l=V3>$Kd?y+Vj@v!2QD*xn{BcoH z?r|6KM4o3bI*p(5qVB05iu_}LnI!vuZv|0AVrn{%3Dz7TF0tqQ{9F2T#U56+YSZI8 zt#v2%HYx!HA(MWDY(rO3uGpu)AjSlHAbCTq28+>YdT^PEM@lwSk@!Lg@5Cuu34)jE zR;@L^0q(_#Ww8Ut>lD;$RWPeonD<+~ov=+X?)Q~}sf$q8bdNcI98pO*i$jOL+BqkGz@35gbv6~UL& zy8A{g`NZ70-^g{i0I{JoX98{VGSuopemj925fgIgGF?v*!GM#9cazMm(V|S$^&1x* ze`{$ydD+;pj2!8k^8(-($aW1vCuZm{LVz#9)8ET0g8_E4W&yFsMn$o!h}G<}r6ep& zhbGzL+C+yqF$l0J|G*u03GGVIuku~}yLF2o?Sef6-m?1X+3-j`QneSjy>cx;dDFtg z=`A@Nr;-wo6c>mh%*2k`hQa|3-{m$gu1P0Lef+tIN9n{m84x`D+drPSStqH^oYWSi zY*aMF%19etj!*Ui##JN?wpV}r1S+U?U#Mqc>5FOO5}gFoo3OW1v4Kdr)nD+~O|c5) zUe}EEqedsD-%b5PU%g=CNjf~5DprB8szjIa>Od`<`N&a^hl`ZotlP|4lv8+?+?3wFU z?c_pu^%R(9&YZe8Z%{{Gzj1?O|K;=N$Ym~cD^2&<$W)akLCiE7#9I$l>Nz882wbP! z#Z{XJ#(l-}hTvkhZ_24E1g+RSf!42Jw!FPsWTz6jT8CGc69}19uU@=#iC(L#k@mh@ zv%kmL=;6C7m~y>4c{;L)pCee3>@zfqbekO+*)1&7#qeB(ZEpd1sr7|_rez;&o!UTb zqvZmA7k~fpW2NoWjy}M#&2L0r^dtj8xsHyIl#$m{-WLWibmlS+h2HFRQZ23La!Dre zybm2(%$Rv96DytWjVJ~_ym=F}7+6}A$UmdnKb_MS9ht$XS>J3jVj_oV*KY|9;4cej z&Rh&(=k)1{y5ryc8Ek4iy~^KmkUnrUhe2&%&%adox}7j7w(^`tW@Y|?Y*!u7g` zTNmU31eQN|AaC5~-ToW3yLRpbYGnovyOsxy4~&X}oM9p$#kHD7nlX`=f^uaxdSh@1 zyJVUOjom??QqD;G1~9xj5o)f{V+f}pm|8283Nx5de%wW+Dh)`2=aOOe>x)P>LW!^S zbBcP-vgC5FqFjZ;J#}*y05Aq}hYc8T;Oj+0){U({W=!ANqeE=>iz25fddUZ7X+N!# z%j%jWj%uA2QmrI%>kqEW%R<_Y7&fr}uQ3sYCZk4i9lu&*?w~c%f1YkfrMHU1cXrp) z+zgkpDEE_{pR+FhsKDtLDf3bOqwYVWBlds& zhMT!w!m+e8xox$+V^)eg6E;N`S2LW{byCL!$g zjrEj%!CAq912{*|a4d-_CJO;)NR5lTLzn{-F#{pl zY%Lfz_+7`#I1%HctJWwF=o9SM$Lpjla3BQ*Ij2XrL&VUnL=A(TGQfbfHhl?)N zT*h!)n}D^(NTf{P0rL2>A^Es7t9L`VY(PtgrKf4%9oOL4d`sH+S^DU?@r>hH zm|52}?}5w6#k#GAu0K$A@@%8PZ?(HA)N<#y!mMJZQ^;6_BDbzjl`Q353=_?lO2k-Q zaj*ng|JPa8sTj$$e_S|I&3nE*&aF)e_2Jh%|Cx6#x=an{19wn}LGg9?q!~=z-<0$M)7Z& zHNbQfW5jhE>}=;Ff}`P?4$otsp0x+rAAWfZxWi#<(eLPEfB7X98DL??glD?o1|XID zxD#01qPpz#^ji8?U;~8Wj80RTlna&%0p~O_pJ7ZD$jls^;6R7~Cj_k^5WWBO2_`Ay zZ|JVzv>Ou@^_K5Irg2Qq?PzKs2tE!wh<6uN1lAyEMS1K*oT7`_Y_Y{9Ti?#9 zCx7f2sUeeQ1bYGsFy1Z98Zw9p{iEBrTbi1<3TD$ZgsVP#Hrx^J`kfB?)CWs5pROBw z1=x-D>iF>o9McU~`;*Bad8Rw6m*_}xVWJA#rz~d+J(Fx#BVs`K?skSMoKHq@j_;sX zLuEc$E1VZ_zUb?SCYv~X@W26wKeRmM_c}Z0d7KGodpiVfoOVocO(U@Y(bt6qBhEY- zB$Jx%VJOmDh(;J!v4r~S!!Y8wmuCB4ZvmWvjmC0u?4my^KNDD2yxlXONuqcnu(lW} z`0ZO=GF_3#zq!5gVFXc)vWEyLR;>bGA4dSN*n+qkVMbikmAeiK=TMqE2ID@B4=*(;u`Lc$#Oc ztJ|e817#5{0xmGKeXH=e?suo~;N=x#+qQSPY^8-G=eV zkqh&)L7zeI3 zQDugSz{Wkhw z->9Y6DV9-qLY%k6EF<6j6qChD8%YWvygl&BLR3NQcMJUS2qheLDLi{16bgBdGiA4K zePsHpvp0bDV3oY3nfWuFvD1sAXWsKsZDl20C4vYDB}Z+K(-E*CCxg%)LKD=W))IAd z$m6r9N#QYjnx+PHnD7p^Ndf&TU|Ya-qBA- zSNZkNX%Eq+#D+1-ruzN+OAuJ}hGXg+FkX>jh)W`)H!`Zv=KT3-lP4cP zaRPgShj;I?L~7qvRaEp69JsogxwxH&k^*A{;gR{2ZOC~9PN6ytzlrk)6%1ys+(i^p z=<19T9bss)XuW#j;;0r=>~RL(;vSA}O2=7O)F-Q}%nw2a^}3rPluz}6oxpo6my6K` zp@_^RE8xkJ(*c6$#Qy7^A3|%Yr&!_+U5YP$F_bNT%fRb9hmnb_Sp{-IXyt@)f)Ljn zb=nhBQR>vaD7MygMm@1*D?bVH`>RoD&U@#ljh1IGB0jMNc2jkJ3lG#Nks<->;$ z@89=j38+*_l}T%>o4?&PB+ulMARbXXU~;2eP+wPPfAoP>D|_W1S{$fUi5c zHGr6*VatLZvWt~l@5!*#_#~wKvu1_Yw9;9L9N1hsDA51XJb}mua$Q#5sJ%Dxo zmK7+wcZ&O$5^~5@dX#e8P%*CQuc$0r|v?t6gsHT;(B8)11)mJ3yGHFsPTiMzrL{A{in|fZQy_njKk!TFG z{`S>N9*#YeqJItGP#knjCqOe_4#quYf`dToAS0U?%avETJr`fnL`N-^@cPF}7`*{L zSNah!u*(Qryz%G2uWD~L3F~cBq$HE#4Bqwpc?bPxxVln7?O&MT9*p7TF;i?iPaQj^ zTdo{YnD0X?a#3TkVz+KU=L@Ho9CI;r_(EJ_p=hvLN!oVyZ<@aKHH7^Bmi`x9jWB%+ zGah?jYQ)v;^a?o_)-Fi9dX~Zm6ddoB70kC$q%e>n_Ufv(&u_!bL}D=`HC9$Xq$T@y z-DYy(p&W(1Y(w*H%vh2uWGz614#vl)U=yWul=kv;O0j<^`;B*8bJ;poH!B$5DV1|u#0;zyDjQN< zRvy67%90xmJ{Z&m)Fg8lLqpBe&O@}6N!`5_)()4BKthIYsi#cJKjm%;lP|+~9{yvk zFFjjYt6-Hh8tJX&&81leCJw@tmp9QiSy}q;6|`$4ER{nd3i+pGcswUL z7fMLm0aBq+66OgFXf3s4Dy|%Oi4kqykwh4vh;9=cIjW7GuzzpyDN4uMk{*}R3PMmO@Hm&~SDd1GrAZ^^Bp4IDQ-2Ki?wdK27>K z@sQz&5uY?JwzixEE|a_oZ0|e4>dEBPhHu}&p}-!u>in)EH<;_J%|Eo$MVC~W)=92$ z^?)h8&%V6ibBL)A2qy*J^HD`k;HL-sxuv07R-CLF+)xSK&AVK?@~Hpz6=*N_}JWdD#q{o6-ZT1&xa%bBIDKi(d>zhq3gsunDhh$)$(Lw*q{x4GV9KEpr%tWI8r5IR}kW`v2!J$$_-lDqWL9TcKwEcjd5 zBeeWwBru6)kM1Se8~fnVyQ8oQDmCcq=M}p*_oL$(Jh98vuGMx!=ZOT^Kn(z%v!|*g zFS{}Gh!dL901TZ?a=KM?{hS;9?_&Zp#XlKF=#?iG6`f$DJv{znQB!3;ThKYb1Swu6m-p zG~Kh3bJvijC}#zO5BkbeUEk)GmfJUP(rJ?=gNHd8tc9&R$n8Ax20DrPh$K!2#?GRN0+eBxNI+CyZiPcIcWz?1RBu1U4Otll zDC1s8+z`dE>-zU11^ZpYz$wXW6_SC2E`~yjJ**?)nx`aAU=bh(PZ@cjDImF`4P<#rgSCb^`4JL}WTNC*TU9*?#%r1@r|<-{d}ypVE+%U7fA_>;`Y-YQkW2MJ19CFeiBGl%7|v9B5rh9k2e>`XE~vU4UqJ zH(`*~Ypc)gY4nO!PM^xjDaXbe03IoH$V}b^*a}#Du}5s*k+17D%v=*&SV(GWfD-;o zM}zoo6q=vnJd`^ZDIIVH7{*Y|PuxyNlLN?7GPAN?kWLbOWvYFtpvIAvNt96Q(yV|f z_?l)ImAP0pU_!uUsEITW_0_+u$S^T8!vV3qDq@ge=1C&HXi)%(9klHpJz}`7fO#o? zt?@kxoB#-cK+WitbEk~~ad#}-E_%yw1*i?6O)goyI1?fak&ACJ1%yk0Wr}bzpbx_r z6x%QO7Xj)J$k0P!uq28p)=OYqQ7e6RF1avKF~N4k?&sc*AinOEJduh^>Y72s5hGbm zDv%(l8H$ujh}SJ25y8Is@WH~TS|P4bMZ>g14k8cigItEk-}UxFg0Jb)w}+%Ra2 zufD1241*o{IJ%So^xyp}DEBp42wn^+Tdn0I9v?2to4)afZSdoMt@fMf%7L;#ECo@0 z0k#b&Ue_!vp_Ud{VC4j!1uIT}53$r>yREG}dv_OLA;CEI?%m4z`rbc!$fT2Gs)+EB ztdiw`{MiNyQ^43{L^&8sF)_?rQ5K7VBh7tZIV3m~d782hdj$tTfWyB$sQY78r9%Lh z#8I#xP(*eT*ZdC0bRM)osE8>>a19C#rbB;frP+L45w?*`_Cq6FAc>rM6pt!2LpPI5 z3ZVxTO0;7b$muq3UK{E=4tsuzqZ*YgxE6y?RKg)YPV`?=cXJOtT$pMIKQN!h?LR{5 z>hFIUwhimC3&lHjtBZ-t%a>oTX&kEQ2sw&!3{(P%0ancX8A?{IZ+33(1gU<6 zvVV2I3M6H_SvIa)SjWt2VGpVug#dv+vKr2IQdfjj)yJm^#=HbvtoS7o81LLm-0bLX z`M6&i8|fMxe(;uZLnEe`Lk%i{@W1Ac%+zMlZc7rU>m{D!o4;9~C<&po`%`tg|57?7kr!P4LmM?iwImz~5xPSgn&7 zQ>uX^5UKXY$4jIIVO`~wP{~|49TCw@^<2I>BZkMUdNzt(LY;iq1H!zJ*!+@C^2M7$ ztTn*IqljgDyY3=XPm3B3G==^Ur=%|1`Y}=*FAp9LUhHZQ8iRR=#HA^;#es}()E4Yj zAR2>Vux>z_pzj4ft^PS^_i*=hzh8fB`XO2GLA_?KWxY_C+sEoCZYmgw@B(WB+!h!L z&})$8<>SXuhwZ)Q39+Z~+jkI^+PXU0@&nctQR>Ioq>)mPq42{vUkN4vct=&1pd&0bqu>qidDhx#hC}c3huq{_8J}yVaNdOlxp*x=GHY)Kf=ON5|1% zNA`l%NC??d_@uA|d~9-jdUL74ho-jQ2o6iL6-D-53|!BP>JTg17bSs^YiqY)PE--t zxez4yOSZB?b!O;mOgRj=e|EEk dpJ+{MouD_O*6f%;+}wA55UDfM}=XgBMxzByy=R6}+l%8D2A;UosTNXV*TV`I-QDSv~HH(jN)T%S2wxOx~nn#y6PQ>6s8y5Dc-_fGK7a#vM1KCu{ncVEczXPbw| zFs1wOR?7V1P>@)D_`viI@4UPGmIED)%t!2{>=#itiRf@7h=Nof1;1zdoaY}PeDi7L z?7B6_{8`iaZ>`)7FZi=pHoW3R8Evi|C{BG7`^xv!_NR9)|AQV>Ll|^E&U%Au#cSiC5`{DoJh5q-a|L5?_JIEb3G`MCH zr&V>kl{qa=qMUU0!oTz2O4cZEG&n9pA{om%tiY7ud<~5xz0ayH9w+e)4I-(lV3D3Z zRfM8%u}rfX`*GVQrl#L&l=532pqs`c1Vp4RQC&hY~Ix8gZAZl+9#A zLlC3>L_40(`!(HiuzT(yg1yoh;>`oxJa_JdGzoVbI=y(T{+_{FZje*?!i2Id6pbK7?z~7xq6zPEaC`(!0$}&-Xg9zuU%`&qxyz zT)T!a4NFt%{U}YrhgI> zc8pw-{cGD8o5sHPqg-C}&0ketX%_H(We!m+)_ci5li;oM0XEOH8V?<DMvIC6OM72fF4Bp#shXh!M9u_kU**AXYU^f&-mC}LwIxYrzHC6qPrDXaCxT3d@*XS zc5BGpyN`zC>Xm9B&z>6?SGLnkehIVdaG3acn~0n>VZuT!Uj7b#v`%wOF6|W~tDK29 z_Fsz-B#_rON>QBtUf{f3{Kg!Gz_mcd%;XPW(rH6`gpGK~YLe_im^ACu;zXXC&^9G> z>)_stzZpGmllDEYi+vH*uEl+^;9}Pr{S}# ztdnM;I?7j(hZ-X8;+?dpDpny^M#Z=4KaI4L%o&RR%E#mL@M|TR-@T5N8yx-SfmSJh zGdA&DMkdiG4}Xt;qd5#e)`pbjXAG~RC|L#*cG%L*wB4(gjC5w&CytgW{G`@{8OW+$ zW@WoR(n$5#bh4NUI-=2bFX3Uacbq1fTN6qkPOH0c$}}x-bv$19T1h8wD{_-rW=}&@ zqmEB)gY8@20y)dz8w;ZAgY`e*tXZN-=F=_N2P4r0|5mf!;O%y-d#o~CtCG7TnEOj5 zje7t0k7w*LId%aWeH{XVMfenqAtHX9_E{21Zmz2zK2U9hT@~!F>XJMTrUG)=5D(lP~yYl+jtZbh4rjH^S6CtX*=SAVO^GCA5 zxkvb(*@vHQ$lWQVn)Mb>bFE0vU_}u`9cp;hw$`jUZRTpSQQ54jJU!0Nq2ln}bF#4V z_E)Dm^{Z;Ebv%C+9e%sYZZV7J`A=g;A9bJZ?^2n}%6kcfo1!TPYtKuua=sJKvEQexZ=Ta6+6Mre=$CP*mD?!G^8) z%wpA=M*x{pl*WA}LtLv&^O}=BC$#VBt>3DCid`p63>Ms}cDbrmYy59$wsmr@78v+` z<+_CN-N?P`*2Tkm1JBMKxQU6ZwsG8I>eU* zWf;|q=OrXR`$8v2EH;cuD-)VubY8|aHb^tL2yj)u&Hsa!7jc zFZxpyh}$@$@@b5c*rk(-pK=Sv7@tcGX#K%tLEF;6RqQuYu_lR{mPXn*HR4k-5f!e; z$}jE+N!mR|q<}&ZpVLYa_m^|y)8hK}H`_X;<}Ip?eMVInKc{u%iXMh0$Tm7@1WwqN z;wWalN#UzVu_V3UsilBxYQ2RS6Z`ZI$B>r38hREptD07gVEL)8TQ|KBbrmk|ZHpN9 zrOpnAk#rIQ1fflMQNf|*Ph1^}Hjrc4CG1S5Q`&9&O3sWc^2%PY$-~l7wuFI{TJKl7 zZ}+1!G37H!vRFqLOLauHoACq*)wK%zneLklgocK$RZ3Cc^~(p{UEY#6L|QSO@|9Lj3ObD{JuZ9GTmE@S+oSrQhc}D;<~GmhUTc7% zG`9KP=b%sJ-j*rp69z0QEmVuyXC-`A`hW4YZ&I%mV|QL`*m3jeSJ~0gUAa=beCEbi zn>NgfQD-18&ro^)(Ei$;o4eDE=FI`8In&a*LW;z9t_`?JS9=M|?EYPTMm06~sbkSP zMx%I;S1IJPTh)8&?h{8BmUGQX>+Of>2Zr-=`X%bUEbi1|79$sef(%@6n>R8S3?Cskb5(v( zUk?r7nQsy>THm_fe}3Xddk1Mt?4$d6qm?YBQkRWQ!S{5q{GdlE-KiVDCwgM%@F7xcgY-`G=@Z{iPdS9X3&Q$RLSidmz}OeKYg?h35nfxc+-V4ugdmI?njPm zKdNDqfh_*V98Z56BjSWu|AjqvSM{Ux$bB3|9@B{*HqpFeR2*nTzy612PX7<<6jmN- zk^ojJ^uD(C&)@CYXV0FwH~Q_io}Zsn1)M(Ept|xO#YFu4{Os-R_4W1H*x2Uh=Mluv z(9rpoNhLomEiDt%wLjyv@R~UyAD@;qg<{tZ%-=K+Hw=67tFoABQQpId2^l` z>;_F%oFr-K>9e!5AM*2M-Y6(55BK*Ax~`4P)Y_h%onqNVN+XVw1vPG>f*Q=(=aq<1ez27Rhj zIw$m%C5!nLBzn-U>SlxVvjq>nJCvr}q$O|c5~C4>Gum(6`q;X9L7|{(h4y{b_+x{h ztoQu7d)a~nmv{OP^Z4XMUS2-#u8{lD-pY#?FJj2~c4q52L_|dB=vHQlWmTOU^w^L7 zx})EFjavCZa8*X_s`s1xv4KO&)3C~qDg7v)Th$d@NgXCWW&Z0$Ti!7fGm>}Ka1{jN z&W!G5DpC-pLY3@a^J;@pWycC4#R(2+In@#??1Dbw;T3<_3tIiFljf}c)N*`KW zJiPjfIcB$zd*kMnT@kWls|TqmZ=3EsB`oErVXjqf2qezX&KsRlyU;6mP)x-wQcC~o z*_PWat-+tVSvZOH6sp-OGA+;gREfm6_Rqh5-W#Zsny2sULt~Di)4d;XPxHDp!*?(L zl{Dv-t6U*og~~QAL3;KHj6_`5&;sX8IA=gd1k)g<_1X%=5kF-eDZWb?^QH$JHZH1b zX!LYpV}rk%au+S_{|;E zqz0WXMQ_$jTiyPQODRWW${=%u`Xwik%EmO3`mmd$OFgcJaQC!goyS|3{HfLFFJenF z4>sADo3$}o9Y`hX{u0UtX{6(3YU-rxi@zzrFhsAdt!=$H`=v-9FOgMHQZiR(Kf7Ph zT{Jw%GL~LwlKvq4iiV%VyB;HYTt%|4cIMbKxqK+xKVAl-y%zr;f?rLJ>x}D4Pcv-y z&hUA^!x!rV_f$OzPWK)qu_}Yq`E0f^ZfDX*>1<}P^qP-m6uTQjyQS0R90&3Td5l;w zG2(MZy*tg_qw3yI$uXJHB7q6T<2cUe3XyENdL3E=HC5vAiXw%|J;6;98Ml6r@(@IQ zdC%QfLmv~2)W|yKqM?z@*yZ2$3bi3cLrfo9xk=Bm&6M@Ayt+wX?(i-W1oMnq$pZps zQqzaCW?pF&)2c)E=}&DrQ|zX7V!8?*&IS!iuUNOxf3xHx-QJVv8;w@-icLerwY5^p zF4T>)v`hW0yj2AnZs_)>#3X5ZWqn`5kSlO@d3SFAepr2V!zZ7(RFU}=CC^M`qI_nq zc6q&y0;X)xJ>~N;uIt{orhH^6diw1&7^y0ZeG(xae}1pxMTrZO`$=KRg`EeV-MxN< zC11Q3kH`p(9sY|el?o@LSSSs{$f9OyJy{x7my+@;=ryFKjQdbhV)tib90~lhIXO8t zCj5)67vB<_3tyRij@4W{ICntO+!R>s){iBHN7C0$#e}qL4bxna1-95QjIW`F6y`qN zxE>Q`o$WO>A*K5s2|4AA`ZvAb8~YaviLqG++%B;$;d%C{9`C%BLrnH<%Y_r4aM7Rl zV?NlknhBI?4+83MB$~Zk;xNtA{u-T~b)dG0p&&0=RQI|aZ zdx@&&cVNkRSh~$V$>!JI?A=M`nRcRPVhcEL3XA-DN9W?-zS~FF&tJS%(h{D(FEIZ4 z#fe(>?fUjeo|OpoAhR2**8{m5lsao76Yvcp;jIgXC;`T+QNtITDR%s>@CyU&Rd$m8 z{)x-vhvm#ncTJ|@8Kp92J*<9xPwq66>|1icLgC-e3*RaCZd%RL&Wq>x@%oX=ed>49 z4P8^)0gv$d^0{T4$BTkHSf9t`gU*WVu)xhy^=`dWYO&8&DRK1M^mQE}QKMWU7Vq~27!Tc=(b-RjTV#@zVAJfQd0bF_8r$u%h@3|i+_ehqAKSGRAeY;XqUMR$0sk3M-mt=P9+B;|cS_JfJ; z3POBev9E>cVRYpbog7Zeb!q9{8ud1N>2y|IC8Wou^7Ri>jhYuU_PocT!u+2tPjX)H zT01-A6qj>2=O7?uiXW^tMsjk|mny1LV;}{%F1Uslza;F9|7Neu-EL@zYUZIY7O$K- zq+RfqrWpeU^YN4y(e35#w!S_BH+Nf#^(v&SzK5`#Kift|#GJHX` zMTX^-iu_`uMUGeGE3E@evM{U?Jjq!ru(gd~lmgyw2b#fsFCtsc&W4Ky;JV-!4sD$<`Fs2e}zy z5_X>?Fx2gg&1g$mI2j){jJXtah_4WJuBsWRq~y(iVB-0)k$lQ*F(AEPV)y*tmEF_S zckkF48UKxDp4XUkM@~#=gnm!Fi*uyFu|8dX3lCE!!RAj#b8<$he}0_U2>~6NL{jOH z!CIl6+d_5PIKrvn_b3RhU`&8HPxT&J9i9281qM+&XEl1NTt@Tnqm+z{{Teb>X~G;v z|GzvLc|^0>d@Rmmakwsz9);~_rb#@D{rlj0H3?gF71&n)UMr?Yep+;b>?=QilBATdo8y6Xcg%S?$aI|Z%5YDd|I((-HaW+j#WyO zy7e`eO7ADA6}}%y^fIOp^Vg$~Uw8dLP&<`06`sHT zK}*yb?d)?PmeAStqzJvjo3kZJQXAIQTHF6AEBh#XbE}ziyV44Bmjo}@*gAebT_vyi zeBR{Ii!Y1XZZiGyR1BsLeX{T@O45?H+T}-^#YlRq z1z&X^%`=gEOYUj+3h%_fi>ul1#mZAr-S;T`!X9ueX~bteHXZeOG}W~s>f$}Sznu7E z%lFQdsqE4%u49Bd_FRT{SQ4CFjSa4Fb90NGtt)%{T4;uiMkRAx{H^qdmhy1HQKa#aqlt_JD5nZ5s>ld+O*?Pt?OZmE#>ea-!!PDdD$y{J#%?oX1RRHY^Q7wxhJ<;BGVecL`2mbq~0vami-FxbOmM_{s2dy$EqLgLWi+Zu}9EuRJs<1m^_%s+TV zYxLPso*%Am*80hvNSA{|$~hnE*2^Eu&9$+*7vfQ{F%pDv6doxj7x{DeM?}JS*qab- zS(6~1eev^-qfX*25f#^uH8lrL){-9M?FR?VM|A4@gSMZC2Lx5rstUR)!)P2ua2rKZ zkNg=$&LVtW!#kJ2t*d(#tyjx;V7zC)*Rro(wsdQvi3=&>uvg0cXe(Yk&6B66*BlPP(kDZXzKDm*YkRZA>-@9kGS{>Id zPdnyLrJ(yc+kc08`*ioKH|P51vzgXJcl<;OJ#Si+nRXJ%%WBHj>ZRXAJk%>k-`yK= zad8DGlx%D^#)~zdhM&GqWgV0gnri<2ii7fWJR`H^A{{I8^x^$Dxf^`Gt0!WG8L?kk zpL>59i5IeH;#@a-S~e0#T-<)eY~vUIqwohd(J$mIxY(9%-%sctiD$sAo#?(+uaUE^ zQ6NDlIk|lFfQzfja`@fE#Dw9+@nksu-S4}e1QYF0kyg?Z{aIN4_R<<4Ah41eI24=agQ1=`+OFg z6U}R%wPQA$seFDo>d|nO(1A2w!?NZJ@KQoVHC@vvfzcVK>UEg^#^qi4960?I~BCSDL5j`}D6uFm~sAgl?7NU!r2f@<+KmGAgPk&AX<3ri`=cuHQB- z&PZ8MVrqYch131=!pZ3~JI`@NXZwmmd~PHq{GejB@f1eiT4V3ySa)yw?BAo6Bt>QO z(sHkNrljVv^sNGh7A#Pvzvdh3^YeeUo^Q79?eD{Wc~%g8#xb)n9hy91w@#1AZQ+aC z<8JaYkO+C@-eSV~iPE9o(%1JbZTFQ&ZDOV*Vcu)AVnNl_&;Ay^e=kmvNtG6AJawbW z^yK6Opp1cmA&yF{#d?(9bv@uQUxQR;dc3Xrnrrto*FkDj&HfX*jNhRU>s3QkTW$O3hZq*kmKOI?^a@If)sOQI1vz55v1}Y17t_Q3(ofaQ&GXcl zr6%tNc~ZV_xMfi3NQ$@bDU1Z#hDerLRL8|BdwP-_HytUxXS6mm`w@zp92Qn)ircZi z>*>$gvF_d&u%EtYW^Qh7Vd3uTO1<=$`qli=a-|R&^1gi7`|q3prShx9T1i%7)4)H> zEF0O59Bh=sV`Hx7=HtyihZE(xjlNzus46}7J2S_NhZBPX16xy-IeB?fIbTkH^0hun zCJz#yIWm1Ua8%5>>RMOtc3|-7hr7>XngB5|DvH$#O1>~OgcH&7>}x9bCPpYawTO{6 zbiBx|NkbJoV=O$%jw)8nilYwBa)s)+Ukz#kthg(0uOg;std_g?qHY{SjyCO+QsQa- zT}t(A+ScL!y+qY)UVQ_%m$>C2(o;o=*SUIVgcjx_|FmW)-Fj-dP(BpbTmZ#ck@5L8-nVF@~%CaZN z8Iy#eHO?#D6cwhtVbghVP!kt-BX)UYam~GvH0)NyWB%A`RupG6YJ~tNbmZQ;tKePy z@YYtb1k1Qy)B0HqbaZ}-*xBu$yPh69bJuWi_Pja39(f^gFRmB1jTJRCFmUrq`-(Ff z!XLZX=n*%(iW@5NVYIKR1hoQ2gs7Fn%0U1hGKk)g!U$q5l_(edUv1p{_)=MsO0(uYxq zf~5wp;TOHjOZ-DiPDV?#vK{UX^E;`jseysW8eVt?_1`VN z_fTz}^ou7ld8&AwoOsm-T33AiRo_H+t{_R<+s!=OP%;@|VZ(yR`NB#yHfJ4+`6(!n zE%2)>hwJQS>-4E_dTI^NZRzRjZwviu8eDSX*BhGKvU5{Z{Fzkm=j(^y>akB2Mm~!? zP``KYUPW1ce$TgW-(GY*rszaNlG*jWe}8K)QfGO9heblN_N&#$!+Cr|T@Qb9+dVEe zR;zSkFr7~l^=l|YNHIoH$YbZnz84bMAYdsaC6&)S+S}W^yo=x!7Z>Z++Ne9JRLpMg zRoE%I4fZFpgoK1-iNCWIxkE&f^5zZtVDHY3Lw#?v%?dL`FWl0fO}?_lk1hW5-Ua16 ziidh@(@oagv8G7iZp1Yg+s&b^yCh-8$Xx41n-Sw|CAT~yk-;a|bvW-0%DFp7QNI=g z0*y)jiO#-dP<}U8Z8;1|fti^Z9UXmS^o4j62|rlC1$PWuj^faewyycckPu1H7e>F{ ziA-W*G4wdf(`H?}cI^R?+meK`kr5*G6!cx?g9i{F{ILvl^k9MY_Vmnsl8TF4l$Dp? zKRk?kiGAof7ZNh5`s^84n~w=Le*IdU^bnw(ax?!g)urNrrB$szLTGTkPw{6`}gl}yPwQA6880RRccWX)1x7Hcn7V!J>;-T zS@-UlRDR5B&}L8O(5+*In_yxp9GnX?o?4Ml?zm6G#a*vQPH|9SCs(CFdvNmZ*zRIk z?0i|X^?01ae>aMdLFwPoQPwKOTQ6gz;gpm6^b2AyG-Rxb<%CyuGiVMq3NI-CU zCIx#WZF)OX`O4L+OZ-VGDO0nvw)L}}9UYu_aS>TNa}C^_oHy^@y^cUyWu`U+9PODG zCVY3|Z*OnskIfYEVHXvRMXf}3n>jg+BpdptrlfSO?)&-rK2uf23yXjK`nA8mKLtJm zJ9}AHRuC=5V;Vr6xQGaATU#syuIb#+ltQv`dQ`T)p8ESYC&F3C<85N{{cE0lWo0G* z&^26Kj|RPrj8!J)Fx1KwOw7o~*?^@fDO&j9_X#3`gM*baMekB&wk~c+ z$JjqS9M`*?m&;mST6#O;R91Ch$!Yn!$#8~H@5){hn{LmN6JzAYcC%Ui?0p&YL z<(@owa&m&j7}>#jlbCpj6W@^=10#g?%}7{SSV4hRkodRN)l0ArX|J%Gt~zwTfDj3s zt^cKMb>^+|NHoDoJtxpijXh={{(3N|P92^1LwUbU1ggBuP_j!3wk~s{A zR-FI&`s?Z0X=`h%suI9@?0UjC&CMCIv$K662Pu?%eS`bP0*$qtoNmUtKv;VFa4aY^HxVRDh3M9;-KFr0 z!{g2J{Ucvd!wQq`J&u-tG@_#KsIl=n;U;ZtiXp6&DtU^@kg4nV3j` zH{aFuSWS%KVue^F!3+)wxr%;1UA<~lEJbrm_6?*VBnd??7FPL}gOtu) zqrtR?{INIi@f8)7@^f=vK3?SBehYE?$<5ZqWxp?;VKLys@8HTk7;*`SZgXWzG8dr0 zmyImdC|01qkKHjm%)!W5P+vc}xR^;RyT-J=v05xUw;1lIW3JWGW(xzi#YYm z=xA0Bj%2w!PC5oi*{Uj4R^q5`6N+9lE^STC(|>k6_^tZ8r`=6?*UNwW94bz zL_|asYnJzPbs3Qm6A*B5bB~UXC#Iwz2#g@z#0gDIOoX4H!0&~7zjrUIs)~!5`3?0I zUr{k$-oFRyqqlC|5*59YjDpCw;yFHvl2IL4aW?0gp02i>ckqyr!A7WgdEK3yoPd_` zKBIXJa85f62WXaGL6&AkkGozKoyn40Np!pcZ(V8H~1n5Lb z$^QDqp6BVW*RFs6{4qB(Q&3XkefY3czmZr(6#EL0_J%(Zx31iKEu*Tc%FM#j+1VK? zVGP%^v$Jz?sV*<)7>J9BjdifMU)l9UC9#D}SbBII4h$%0X^|k}%!vz4UZWP(Q0^Yd zy6{r~BYn?^)4SW&CN7$}I59z=DCZ^oPK6N<53i)GEH)+vI0;~iYGF-NlQ1hQp2aLZ zJ$;%2y_i@lFbBL&#>gryR`z5Ts2QjgX(=iFCeP;<7W6zkM7_H&U%veEE6crWWc*Vy1_tf!yM7M8uFYo&L`gU}7-uW>aKD>%DtNQdwFqqn? zc=`KxK|w)b%Ha-8iLsH9kqjXZT7qk_%S%g3m&xzGt>fy-6W$4d{G6X+bvQFFDk?-h z>T&kQ#zt-~ZNy_5BAlF@oXrgzbFNf1vg?F?tsL%_rl!k32h-uWu8z*g7#6Ik67AcR z!#`{{v9m$DWQtyAlc0=aNR+d+v4MMn3YwKWJ~sCI=oIc3uk-u&@7~_tTkbw)W-zY; z&jDwGFSsTC*zgxGIPqMTI<8vXf?a*yFxS%~ZG{dX3UR9}cE&?T2i?7!SMJ64!M@QE zL}X@CC8HE&WC{ukui@hpM?41Trl-%Zto+j3izTN6h+t{C3Iy~qO_2I1kKamv;?$HD zBCe%1wY9~XpbRAN*RNlzt6-uN-MQ1d;w(k;R7U1=1R=wl`1l6BGN^{WzNeL@z3^OT zr>9O7%CfSB#l`n!3GiJb;^G{wtzj;WR`xqT<=wk}>tFMH4tE}P@-Z_<=C7Zh`xmO= zh>^WjvUG9bE|F&?hG!d_nCMV6G+czI>F1Aczb%?UOuzpxiC<{)-*a_&QGvUk@Um2`A`{7%@5>*2%Oz0ZThU%h>+ zr=dX~-}h0Eorf_-+SJaDHFG#T+ima1C56dS`Mlx`+@Pqq_$qpkW<$AN1J{EGXqz~= zxa3q+RAgk?j5x?m3JScH(M^>3n05MYsb*4BIorGxsuw4% z0l(X^DDbgFI4;Aqt7*Lt-Oj=S6C<#53HpSOrKA%{``NC*qV6cZD3tf($6 zy>62=8G^ITiPs4`kA;QxL|Xbi)CjDPVH|u!V&wNJ+0DfyR?V zLqm{k2qOCi4Gj&z6S5I9c5+gaIZ;DXv$N2~`M!dSVu2s$e&DmWYGML9W<(6_X*$*2|k+Sb-q6-GcLB?W~a zPS3@%Miw)>oC23vJwtmvJNo{{Qi=JW{@caC!hg?j6_{9rCpIcrwy_y9v!PIciRspc z9Ka)NmTRiSs{ONP@mj2Z4-Y{@sTPizaY0B)=tI5S?-4at`F#vb-f`hTClfzBr@sCU z=GCQwxVk#tHI>^Dk0r7y^7HB0*<+!)gm(Ow2>lRdT5gbNPyn*>P|Lfp=0ZY3&{B3? z@J=KbjAV)=qo8Q=+P46(I(W~8H~QrZTB&kMz}VazYoZ*~@l&#b^78O>&cD{2B=E~X z=dgoc#>JJFmmlu$@4H{t?yW65s4NE)2F>1XHa5&WJPD{3Ioda{FX?=a(vKgv?FzWK zxZJ&a_u936ZFyQ*@QHf5RPNu;>Fnf_x+H-<=6-chDad*4J_2m|`HAQ#;{CTyUw5u_ z@;#ZEnfWK|A8;XVVuGHGqQgcfGf*v5qrM5Kmy$vf(vEOPI8hk3_cK}s5MwPZEpBdZoLe~6*|6>G@qNGs0P38b_W)a(N}*e)& zS9r7nM{BiMVI)GO0b;^&?jsuhxLN<_-lY_@;WJEpJz?A`NbE9%ok~Nf#68(JgM(}@+BB2i{#ac-!LeDTI{zJhxEK(y|8sDB zeEfGmOuOV}ybP~^?k;6gH^WY>A$iTwP0`KC(m(rz;~9mqams-?PoO*i*xsh3+*w^^ zxQYFJc^Pg4N*i3ubpb3arv|;Xh?vMr;sG)5s*FS( zE0kHj9V%8(58_aS|Bj@?q~DhCJeGdkF)$0*IWwaZ5D-wQg?G0bCSfS!uzEyuva>-# zdVG@u7wz+B>>APLoF_onV2_QbV6*C>NMi~C)$;WGm&$DkiJD~qDR_K*47I>SU^Dg2ZwiF&FGR-!T5&Q`EFe6$^0+Tf8Q`fGvnUfx~!%qOh;Y9{FwR2_LDvI z|6Iz6n zURPWDNFNOWb0&Sz9d-rooaDq843ia9vhfz7MW?%)n^&(1PH0D3+RT(zgSbGHg@WF!z+uPep9|(KyLvEEDw(ex~Qv(CU zq=w`+n!4S)3pHYG&FWtwHE|R<8JQ801|tzH-QJ#aN-gMDsLw-h1u)_*vhL1}kFU5l z8WZs{GZ%gM(7WXHA}q|A|1AJ5IiG`GtN*;Mi{wgdR8*(H+s(=H#YVo2x2!&SzIBsj z`m;6G&m0|pt&e{A^7hexDLVN8R~Y)Fd3p7Y*JB%>Xh?Icf~I}xd!Huz+uT*ovxmaM zP1)Hr?Ce9f;p=~nfm?lK*0!;+adWE$>utIMau;G_++|LcD@T8T~rx*tDz^7Z0$xUjz;b^>??$yP~0!ONJK zP~0FoTH3ZLhJ#poI=b5W`c6Bof;q4!_#EZ}TlB2x>+0(z32(kL0HAVquA1GZm*wK; z|5rUMs#|GtHQEncxa7n{DBR#6uI^_oHG)e1@AN#W3N){=e=5V-UESRUDexm6qpymQ zk&>=&ZiYm;$kGzj&(4pHC8VVAi;C{-eq3H&2D~!3wGAcJ|75!!T+5+%BJgO(_L2YA z?yKnG_4l{^92BP(SDx68Myx71uY{;1yJ>pMb}& zU<@pAZPJe(H$Jb38HL~bZVvqkpaE}Zm(LqBg+2xsUt?Oyq;eY=8uSu&sGqf{hH0!V zP=HRgL$mdcRHD994)s35l*uR%pl&}tgOhRVj3E$gW+KpZGU zyj^Wj#x{g2n@<|u^U=C3P@9{m8`>g3|a2Sevryr%vg}3bb3FK|>vj6&F;OP44 zwqrn)@zk*YU+ysD7QaUUhaRj5{87wd*c907zO#RJy8c0|!2QqPp?Vgvi*n}Go|q$N z|3Af48*G6|hMrQQ#t0ThN%%_R{DU*Ur|72&iZLz@_+h&mWqR5M20Kpt-+FjQ z3O@Rs@KWrx0+<7Lpa1wA1NpYRygwxLOYfu85;V40QF}+HARW^OEh@FX`8JS}lEVB> zUfxxtZOO^NXZsrhT_Pzoam4D#8{)D-6DTfm+o;1qG?sao@pfeyjVNrafS}5P_!?-_PBOlAB0!I4VECiIVh*da~y5 z;2;_TqHV!@v$VYBxZk0^Gj{^w96Dvd@T*u^h@%!E*-!w-)c8XSCd9ZZq(!ot+_^v(wwg3cmmB`dim zf10rlwUe&nv)|8W!{iEA0R;>S3i7MO>RA<^CrHD4P&pu>BC9pA`TPF#uOL7qnJc3@sYa8 zes7Ap_VYN=V=H&}i52HcR-p$Ec6WQJl$DhsP2m+01_sFF`{A8vBJud)%ON*JKe}xu zjjqF6APx>Y0Gri1rN1@nXZ6+9-Of+FhS67tGHmVaUPyFQ+4=bRczFqwyfmMN8twb< zOE@0)X2koSoKBi8d&*S4-~PN8_52OA2?&^{e*R^~PfewuR)Sj=?>~t>`17Z|L!Vs} z65H06MfiG>IZ%ES3bjd8O7 zG@NkDeD`jl+VV!2v6q(@(4R%ctk0HFzIFfoB}Nv&hKnF1!`+7Pa@Lm$2HV)-%&WnS z)&u#9>CjBDu(UKLh>^<^blVsk7{EhSf&C4RWoE#+K#k~C^!CN`?Zt`7$s0FrNFHuA z{%XOUPZ^n;tFayh!gRF1nw88YB9ehxfdH1+)oO4yS5q6)H1xYF#dz>CNwFQ9RZlfTwK?nj?BSb$*UR~RvtSPNZa!6=aoIsfyc+*T5cvL*=o!pZW}~l#!gDv^^jk%wT%H6qHh(Q z7F+zFw+Z!<74@CJ1uP73+Mun|*5R=|Gd?qeqdy@`=?HrPZ2-_LP6BI+>AYUTl)p5C z_1M8L0uXd+ocGv?j*I!?;xd%{y{@#R1ROUoPx#1Uz$JrTl?XQW6?m)c9G#OG8MrRI zC6is__p6M&_^WQ2!BrO*%IHM7!mh3^xYcCTRcq};h&r#2F`0v?{#T`>1SJc`SPFts}=AyWe&e=dhICnq7n zFp$SIUwUH5hu;ctKX}l-o%0VQ(mrYiog_q;9%3y&valNx^;Gs;*iUCCU@Dklmflx5EqO< zj0ujHZsl6uOu6 z@zy3L!RFfFN&%(;d-7Rvfz5`Rvaz-GLcJBP2=3(wYbPfwOuK`}QCJAo#5gb}CQ6>P zLA}8i8mi?_kuLSkRt1PTLXa&v17JlU|(d(gJetF9g`&WG#5 z1q1`mg=?_+?54hLZsI1ABfopd9lLsZAk-x@tJRqOmSgyUOHvAZB82%9CECk_v^Y38 zGa#J6G|zJ0KRTUn^zd+ZUx2Fnt`Fc9^S>{n4Hao=%$kOI2fo;4sCE*sfA%ZrG@Xbgrw7Pw$@LST*uba@bAZlM*FK* zuPWTPXL6pz0R=}#BqSxl+VI^NE1aIz=D$%Ym&eS(0qt8b=Z=qCPIej%eRsQIA>l3E zAS1{ucs&5}X5{CyLbdq#c!Q%CL%P+|czi3)USJ!ktKY`uq*#5T*H}}u|NZ%R*ogxs za+83d3X%}I5+>f>WSyL_G2mU~e8D~|hEtyW-3E=Kq6k>?PQ+(scGmbO8)CFMQ40B6 z!JcG3Iywr@pu(}aHZK!XM0Nohnm%Eb%CBV(U=Ru@ z{C9BoRnn`gs^DLblfU)|k~zExL*T%#N;Ft%it6oW-GLWCQxzQ%rc^#o8z+)#_&F!c z9`{Gs0~K#R4b>WYS=&?>yHt=Pe!vR0XX|r>s4g9nf5l_*D0I9-Pp7$So`?D*nQpCr zb<%j~*T)KAn2L}mJo2i|9}#}KwKv9-bxFg-Pe zttd`H)Z`3CE{o=SU*^PqsD%5g!<`!tv$&Rcfm|3*;u1221vb-e83mG&%(xaceD9K7 zgTC5h2)dE14d~-Lz3%Vt-`#z#b!nHzNH4FgF^%R9|0VNy&>!Wzo#c#KiHhU%#KpP1V`! zfI=Z}1 zpU51frKQWD5Avfg9-;sYcrXa*x7xnkzw!u%5Nbn0(eaTnUMx;x)6U9NK7)YfmKI7mH!UqKu*OQXgejOG8{f{93)1q+o$5cYugX&=;nvb@rKDC0FIO>A(*34RYmU|;LjL>5C#oo z2F9V%B8)=qAFXCCHn{W(c|ZOzs^8$;EhLj)QZiu2+j-GAzXLuEES9H+Lw#d?eSK9G z!Mljr?VZg{q37SPP`v7_+5)BDOBH~(suMhlceZ$OMx{9FM4UA}Jq-{R8y($7nVykx zwozPev_*&?!oL0&bn-TfoJaR>Pn=ODRweF457@f|LF=YEc7Z6IUc?Tc)EZ*TC5H> zHo^Cmp)m;SQzr<|{_x=+=q$bvXd{R)>y5pe>ATklzkrC-5)_VafLsG0`RFihP5Ab9wrrQ~ot?mC>(X86%4TYY2B9OG#aJJfWAW z0+SCNL^$1GaPBO&-e^t(QvfVUXw8HdN)A|Q+4XOfl=0O2-cQ3^`$lMM-$(d zt6KQQ>ILs}2nb+2@G=?ZlOk}FcHqNveV_^4sR~Yn^dy(Gz39mI95{r>a?ka(989FG zFH!o*6JSd5nq5YmYp$Oxn|y(#9UUEkafTC`T~e~O3Udr#!GSlHAV>G9{??^Ux@zGK zul!&wd(P>7L*vKVFY$U7^!&L?I;j#XEr*B~_0Qd6Hd=skM$2zI6j z81CpcxQ0;bqq@0-g&}tS`JTi07Pqi4Ug%rYN||9R<&YO{XFLc>XgWIedy=?={Tzs) z3H2DBK-aPPs%a)GDl9Y!f=n+#lF}xqCYj8SN+z3wS(Tq$Hmoca9)AlB=m|GzJBH6;W;>2 zybuKoe|{Xh>&9_ujOV(`p4S{@a_`FSz}dVQUKiZ~eXd}+-t$Ji5|@dw5#)((N1K7B z<|Nol?_YTezXKm1u&%3dtMB080Fc&bu0(7R>1+lMST)Bb9Po`PyV&odQpjjp&b?$mWvg`bGrNYJE1ErD(X}) z03K`eC~1qCN)utX(9_Gm0(guNtdHTOa!R86#Q{bCy35}A+_2D|3vroroC;k2I2pr~ zi~{!ufb{2w^Q?mCXgp{tWzKx|10sjgMneaMcBmjm2HMO;` zg*zb#{1+B#WONh*cM*adCR4$OSSl}`EZN;>AUBk6*QVJ2sA{(Vj7MCEpPt?VT1VkG zsKQJYLM4`fYWAa0FaeA;>g};LWz0hcd*wv2x_<<91>POxM1f~fG;UKoJ~KXkwRORL zXU@8Q76zEGp2U@CSJOjNG#?)g0aS%v1cd&#$5_yK!wLNk_8$A>#qdHpCZAjW`r@#_ z6V&S_8D4`Q>U->MMvtgpvJpqwS6+QYVDdHNG57rF?%043r}{I(fRv)YYJ+OR>d$U_ z9JXQ}Di9E*U8&Uhrsyfji-~JzhsOJI9Nmu9v?A2L!cKm*iON9*`<{sGji{iL!+W>y zX|Jw*anA7ZDx1aXn*~}1^VmKxR`jMGq$U0Vd1uQoDD;H|gS33>v`gRw=??GcrlMev%3$5)v|$kc@>)krO4ElQ~n!JXFRE8H-9}Dzk)yObMAul!TDXV;w?d zNHV?q^#9)Vee3hA^{i#+ocrAOb^V6@+k0ORXTKH}*KB=Bp9^ZWx|GvxoZmCIl8-qx zX8)*C0C!`3UoZCtIo}?h2Ai6b$ zk3rh>f{9-`zYI-T|JqN`Tms`QL+e;s4ILp{iN4h_5P%(53HCq{+98Bcrv5soG> zP&Fc;r?J7J0RTg)8Bf9X6LNA}D5{0UR5)lSzJLGy`*(m((iskqX%a^Grh91U)1u7T zPSneh$^k5~mWv8+Z?LjT72M(i`~dc=>HYs0sgLXAKF`TvLBlrHi`{~%Ce;j|Y7Wf} zl1yy|jp&|A-w`V}H}M%Z|2RpzFZ@qbcBY>*d$U{H+e}vlWH?eNa!{6O17jHX20S`W zVOD`trw-VrjHo{EnMR%zLh9}91MPpf`m{6H9&>-ln-=MplS(2Q&8Oz(*uguUnOR!f zu(7e(8915(UVF{oA32yKf+PamLswgSeGS8XuuxDh{c5MvN?ej3VevSQJ{NVz&&5^Qt@TAfAn470kbtSpQT9zU zz_*}T?4_ivQ$HSn`*vwZI8P9Tq?+gja@KF@JG_T}l$;WBZOHT`+*Qj$5+Ie~wI57@ zih}*6lM|C^<9|l@>bv{c5`G|{MzlN#4fVwQgEMY-6#haGPAIdUdX9tgOLl$!L8+d zKZim+vh8}}jsss20y;a-Ql#-J?>nU0`Kpb0E4THFwPpO<1N*b>7_1pF1x~5}GlBRyeGQa>4Zcc`dC+jpme(fBV1B z>zTG>;^ya9$?Ehc3e3DF@2tKZvO(%zfQP!fpCb2U_nxmq`%~u;n~6cmz~-hQv0wUF zxUlHTyXK&1h5)CE;W?NEXz|5hUO=wv9;001y?PzkLPwSg_bt*u%JXUj3K-k3EANFr zqL8?xskyC#N42wNb2%Tu3}~yF82W2WSn-6f@DEyJs`+UED@FZ{&gz40M2OgCI z3JfxG1W+mDx7vb-dRzPw{f;$R&iNh3*C8(~;0xL%yytA^!_q$H2j>Fo<~vuOb5Jb2 zsRJ!-l&{j6H++oOq`jwtZquUtNczFq`pIS`<1-*+Ogc-Ta=~z!lS@$0(bRMVQz7My zN10O~y@5W6FxS}Bw40m^G!R+}wM2Tjg5xzbN-`C2vcW}tyC2?{blYdJ2Y%M*R9Ac9{T04VIm|sx=)IE}x?$DvrA|fu} zRdsb~-xbPIP59E@o~o6ta5z$%594@SdwbBXQ6IudLR|bc;wCqDh^2m-#^dN{?Ms&$ zilDY8Hk@Et8P(p zS~To@6tn!J@}>W_1(PjB3eJnM5i!TN7KjJgxKsSpC^#31QMxy0w!KTbBri#6Msb#6 zdikBnoI%Z1^{nOgnB#*%SrW-T)60-z_{VC;XPWJrAk}ieC6Um8jbVuRoD6L}z8DUjmhYXh)xbAc}aq>E_5 z5)#e^-a$(+rBY6q`y}I&J-0YP%Pcl)2*HMLU*`Es#R;Lio0?~%_n$>oO&KEl z%7w3&LoQ!aPkQ71jZU=_FTndKJbZ7>aNA;~T2{JEAMhp<=thJD1gK|>kA)#@8RWe# zD*8-Z6xp+X-@d||Q=eW81u@&?vpc?^MXLNLQka|HK(l!I!8Yf`*+HcEOLI(gSGA*V{ zb+z(*F)#ItGl8K9E7+rQ2GkntZz-xuBob5P{5A*5Z#c(*6&{9&h|Va$NpbNkn&WDSA25s*&=W$p3j?#0MW~s8=4cn(_6rqur(G9FdpI202Jr!N1AyII__EpWQcKA(iP&TGC>tB z*4YH3-X3X*k)8eIVNZ*Si$NhY9U`I>|NQwg(C?9Uz8G7ibU?`k+r{|!s9q-$dbB(| zJk-=aAu*Z_UjvA?i`^Tut34ai;Fk&s%>i)*LFLV@n^IRm&$)F=T9ir1s7!;G9@J|8 znbzdf(&!5_(=_R0l9Q`V>jF@C)V6>o<%!Lu1ZrY|aX!uc?|>~&Jeg@)x8L_Kd3tnR z;3e!MtUSxq-mtnib*iSkakoc^x#A<$IR`19zoH-8p7QeX@DS0wn98&We?*S(ku@c1sz-h2P2-^#XL@63i#&drr)e-fUO^?B3-K*xP!!t$rX#|09Dc^jCn&i0 zjagcYd*3S?w54XX;`02AEPFz}f4AZdM!$YJM`wqzn2{(%he|{BX~5p^w{Qo2#Kh*1}_wxFSMZ7ZGzw5)kg9o#Frm^hhbxnt}Ft$#m_Fk@4zfJV?SDFXF;wsQ_ zMX80hUABG^gGTTYN=g{iJR!FUia@zr->P41rFi~)!`J-;C1A@KS%IJ^uZju(Fu)lw zMZqf`CN5G2*JG3wV8h$Ip|A+b2|@{jO(D$rlvf#L9v59g z>&_;voNnN2q-?<(^8p-*dyNE&QBPSwW8E(<1C7|)ZnaMg1HfH8oSbz478M>RCdyzqj2dZD9_cqA^mw}hL`LSqOz2-FB_x>IW3ZPI zp??L@?Oy-;CjQ<@t-edw_Q%svkfZNKilHT|Z&#HNecqKQNm8Vs1*c%%c~Bb&j+7LY z2z%L*ztb&i>q*3(<9vLnYzOJ-mp0et0@cYlgUlY|rXgULBX}%=7hl5C?@V@nYD+ zG0FJFjsbGT_ll3&O{c=TbK)PC4opsQ1}SkpLa&t~>;*3)}jXDZ=5@?TKGhz{fvJNKR^qzUuzWK~qGAw04+g(^G+uqVg(r-PwG1E6|03=lbzV8135l^4)uEMz zptv1(a!nT9E?ZgxtyAId#i+a!1yoW2Czp_r6BK{m{b=?JOt-ZZxm6shSAB5qq(k2; z1mTpnU2C$SJyh8B2-5a|jt1N%LCCDs5*^B9$m!1-L^h^W4`V4=v&k9RTYptR8u7G# zb_%+@vA2{GtEYy&_YY8#UAc(x%`qX<2FArTOUv2e8uq<;8oWCB#w3t_7!iw#>hF95 z4R$N|=5-ptJ|FO?B~DIF`S(5@slEjr+x#eg353(u#wN{%S^QrD}b3vZgP88i(JV0D|wogCacrEkY9HJvY7mJw(-hs0^h|D5&!xd=*>jZ#P zM0b$$4b05iFM)mj_jkV&yNri$!RmE@9|fi4R1v75UcSsOKTJ7hlgxO(rs7u;L__s& z8Ip-uQ@$9aQ+U^L(DE}kH?+o~QbywwvG+1x%*9xK%$%JNXt|>{e(2UnIgivfH{Tte zJ3ti-5W*3I!U^4jA^Je;TdgpxI~r75TXgc;r&`7B+TIXwGfggAKd1kfL&F#~iUU>FJXiwg@FC9n;a9cH}8NggC> zb^ZDY(WC(4EY@z?MhtNk%x)&}v1KpMvqsU+VT6TGHzB@^@gIwsEJ$9M0Hl|KgFm>6u^ zNQ)#mO`9*R<&<#29@g+@S~i%rYiQ7Z`ClSBHm(-_hbdWu^(+M?+YkMWB$I1)^LvKA zQ?j$NCc?80Ic<1Yy%RFHFVo9lXmD^vyt`R3n5C9PMy>bCIufH4$4$qXP(s@62gilQ z?D0fUeQNx;#7hrY3G}i%qM1g5ep?$W=$$YJQrst{$1l>w_PWiaJ@0NBFEdpH3cmId za?IN+Df3>Z4)C{tTGJ2}=s<9A$ZI2xO9+aH>^t{>V7>dQI)+ELwl;m3^zc~U)mE$f zpD92o1^}!{WerqePHkWTA%idHPo(|s1t-y`94kiU!iC-%Ke^~Dm-#LOKYpeqxlT?fMi)lT1qpii&o6bbntmMbJ$T>jGJ))#MG!p+b?bU0a~~%?wpZ zn{F)LGg%))q(jabVSUy!ja}T9e0n!oxpl|k@bMWp>F4!`;}CG7fRi^ug>isiZ~j}H z2|@4_`0Li9@vTaf@Z&P2&-RT}vpLwrfyuOezb@Di z2&iN`{ex(oKS}$pdzcPiBM?X`qR~3k!Z*Hu+}0^eP(ow`^teHKlci%Z$`8&Rxj96* z7+q&t&}%<3%0o|u5)~1Id`))rGMFK|_EzCqp<3Giq1JWs!Kopz2gv;Ihlc7GS-c14 z#38;Tiqypgd^|!b|Eq7#ZEM?SFnJ)9(nm;J{O5s1naJP}2m{=jdZcS@7&Ak}PMum= zT7rmXaUE!R#hW)|oxEn@OV|eT8E|p}C#oa;{Pu+>(a|^ON8~la|NQZ&GG?Ej50o8( zXpolftGA8#+(DM=i!SuH{MHY&Hciv?)J53FXObuwpgcvWlR&D3#Kb-1)dqP0N@8Of z7usEUf%IT?&zk}h0aHMzW}QxD4UKv%yiLH=UR#;#6h#kjMmWeMQQKNnRD{n&M_>wB z1*;5myj}fu5jtne)9AS7cPKOVpb02}jaQAOl<&4kp#+GryO8IZQEF}r2=y>{XGV^f+ zj)!Mg)53gpPF&EW+g3GI<&Ie-R=QbfhH-uk+9`k=bxKYErrVcxzbgjj_gz9TbwK#{ zv)o*MQ(EA#C`rgF&Z9X1Ha5x~O<0*5reV7GS!|CJk!z$L+yb?wAZ)uz@9IUOuBcr{~yeDM5>7hya^&J6O z2zCA;@*hhr-lG^Xn*o{un!Bc^CWfXFd8%q^m`nV|!Zc;S2*4D*3;0^Q*JLft%o6s@ zb-(;Fyqjk6QWRO5Gg1<6GYEjpE(qAziz-I`MRt%caQwxn^1H;#!oq!ho^ZN{JA{F* z?ykm9SeqFB)IW0!dz#9E+*U*VY7v?YT^*eOZ^#i*yRpgnR_5o^1azRZh5M2TNMesl zrIH-c>7a}b=m1`elvHV3(7(fp5cU-4g-)&>`u0HxIr{pfPMip1KSSz)Ok{aKs9&OQ zqzqye;P937bL#$haLs-8@LP3WJ{cKrl)}T_i_~9tlkeJvK)71#za3QfR2u^hT6@%j zFe*h)M7vm5sjf71V$b3iLnjy315A3PwiPgej?OtvdL{~f!`Cx3PWn6-6~92pAC^3`w)W(A);g4n(LO(L5Ns`Te>_B1Ii&kAo$l z$ws#cJTEbCf#ElaSNq|EGOcci8P?hM?Jcz*eekHjzMDU>;p+#joi<+{s&<7GL^S_s zvC5B7PDm!HK_Gcno0hb$E;OiF-5>L)SO5GfE`I5Hy|d?^6IGk)(rzmE9|kVB0d59v zc3w7^8DAkZ>Xjax}!-deT522~a0%Tcipm zOSD2s!4%^Egb!gOCGqi6C{t)pMP1QWzo$(g4G%mROtwn8ZFdl52uk3|f&G5%8V|(; z=E+sYq&ir&Q>M+X#30u4A*&>T0ypQ#k*mmr$m;&PngH3D)C^gikXL9fngOSz49Wbl zKDF53ZDT6(02sB*cEx+zO|?+xsEOwwOgR*cha04 z)6=is$Pm~Z7=DvvgD;8^Igvh5=j>akC0hZF5t^oL-~OZC{i^2EW09*MA8ezkDJv^O zt?~0u-<>|CN7TNyW2Qv-~kt|CLw(tJ{yrEV}2>ilRr`(ZHNjRh~wY+%r zm4hMv#=S3J3YIDB!3G44@cHw*w7qesjz=n)4)L@t+LqvMr(@7-3^fWw^O-hmRr~%e zo7Gegp@w~Ok@p{}R(Nj?ZS=DWP1w+7-48D0*)|t2Fkl3XaPf@AiC)Cyy=dwb<%MUZ z!Jf5d;w1O7{gfg{^M-^QJogDWV`XUxK4gS?eCD-}k0ayb-=JBdz*!4)MY=!Se&!wg zPN}%>2}iT3Fll%b=jH4?4{R7^HdwI}x(NJ(pFfj%UWH4_)YP_Bt{{GcS4v!TsL*z( ztO5Kabv5sbZA;#O=reJWoBKO>RTwO8l4F2m3qd(6T_b-B3D1IF&*)AN!3^F!=xWN1 zMn>Z>GT->?T4p^W;fTPE;;F0a3`YXSluw@MU%o6RD*_eu;Uh;NJM;Z-ANlI4eA~m0 zQlBcVCowCVJfN8NE?h9yx%ujP-P*rz-ZxDju;4xUnswAOnVoM-qzwx2jE5=zo|9x5C zjWm%5fdN`an&c02D}I=gpo33?R}D&c9yu_mCLTzJ1INeoQ8b~|*}7&J{vqFRQ4bzI zT-)#s9|sL(3-7a+hNfYh^lFU$9%5o)*}e~?#r1_2Ay8-sq+y!|j1+{f+A35Cavt*|82yb7p_@H> zXKxa8I-jWOl)ps4u8`)D=+&3g=%rjOc9TQW^M2HWr)cpDOb-~`zynb#4 z;s@X5Ze7x5UQNZzl4w|fDCC1Gjh#F_%Ns^-XMsKlt%fA7XaJL7w~8uI90`Us!!!$& zKbl>PAX&mNokR=z1*#r+o7=KUl1luHB;Z&X!s-Dkwk?G`nTQ8M!oXf^_-?_$17OF^ z)t%8Sk3P@;m(^JgME)n|^CTcBInR=6HfEhDIRSb9DwclxkZ6DU`jzVNjY#RstLGjx zsZyAg7z%u$3p5Wq*KM2LYx_a>bV*jft$Qz3m%6m&MTz)YiH8@$#=K=x9?95Qy?HZm z{lBmPD0RUS?Z@Q+t~nS2e{9pTlO*M=wuXj=v9U3@lfcDo;;r<>0eV1N{?QbK3pAbgAfHmJSr?b3?iX|2+0oAnjxD`vw) z(x?wWp!8+Ef5{CqdsKNSJzPLqtxW?YE)HR##1e$E0I+~2nCkB7k|k|{2f5mOB?bSM>uVDSOBGko-6Vs>A&QE-i_SzBAgowV*^mK0Q#XG^%&u3E5f@K_s_!RgW}a9JUwc^ zUkrPSITUYP3my+f0x`-*nWpv;AbkRTnxAp^a~mkxi!58Jv4bFxn>vYnv5UXr#u}^J#WZSSwYP6-j&8Vku?$!RL-h(H4*D5}-_f|V#>XuTS zvhwTq;#HsXZVpKH{nzG*RW*56XDZ}=zTC8Lxz_*MY0JBXCna`6$)F_PtDo5KhACCd zY~Sw-zj?Z8wpN>ohO&dNeb$I6zD1U6t0Kw73U>$n6b6Bo{x4cpvx@?r2YdTJ`MDFi z{TFAyzW&zP2AbIKUY-yP8zP*Cb2(sVf9HOTG>d*I@2@W)Ma6{5_%S+r39L6wowhwS1%Mk_Gb# z91W&2xDaMmRh^EIKkYIGojk+9gv87A^agwJT|cY9_w4DfVY;lK-X85&Ho8vM#&;FiER3`Rco?BzQX1Oq z@!L4ChaZUt(_GLr!3Z{P#6E7dIyv!x)3XA8l2|EqHVtVQr*ChPx;{Y>lrVoA;3g+=3xjEm|i-tu-veH}6(tRs^ z`x~@==q>Z4MEjfiJ&IhO+RpHE(_8)>k4EgFl&1<<{*16w0XJ&R$6NqvxkE%?5 zj|it&S$eO}Tey8YHY~*QH}dRy0nr)}RAh5KOaFs_T%X4hx{1+mYylk2^cL6#rnbLl zrjz6tK)3d5NdNL~WWU~ZgC zkjLo274d#Cou97^`1v`5Jg%^faSIYehyA!ceO=P@Yi$4e-AymP8Isr7c#a?=o^y2| zr_hi;wS?`!ud)GS53i>h*}l0|?;T5qEgAL}H&Qp<^r~`9mHMZG^g5OW^Mfob({ppz^mWoSMr=9qCD9#^I>UdBj)3xsj)6g}q-60|*%IZ} zcaXPo#3xu@(QMX5)GUYk|HlRO5n+9qzjUY9(uJ1XYt|0=>O~%C0cM4nMK)*z z=Z?JGxgZ7iEHL!NrKI?x-s4TqrF*_<+cF>HiaEzJ>rzqqP${8*qrth)l8@iDkm`Y~ zpIvCLqu3h(w}*rrO}e=Ljpl}d;fm#}bT2z>-a2MYca*qRRH;k7jcU+|>PjG%24P1PeVjXI4+Q+g&Y;)KlJm=a=5a)|Wi&W0Ykx zZuzn%EpKuK%VQhcj$$E3H(C|z^E3WQxyG3oM4S2i`DEL>Dz{7T)fQzt)$E8457&wy zi!5GrtJI+;8-E?M-r^TOtET%!(k*bbF?*FAp%jZM&LqZ!@E-54G}X`*oSu zc`)v+cPVfB#?3cd>Csr}9ayikp2Cn6C*jfsj`_LH$_Ve?RM+%olC(=KODE#_k%ULKb^0k;)m(F_2EnV zznbT0Wfu&ER(^sE7TP?dgR<1r5q+N?XQw}1wX@E254@<>hddp27(~@Me!hBhgKxZW zVtUqaw$Z>SEaiT>p5e11gN1Kp^lh8hn!h=}7yD7;k$q_Id4O4(nvu#Ggjw&5n9gUq z35!>Bj`#}fBljG1VYIs$ZXV~!XHqww9Cpkl(z3MgvXlT7CM$RQ9bL1Rcd%F6Dvwqq&J866;wRUFHkjP&&EJ%0|X-ijR3 zSb!a;xyv*)^TWZ>ckbVhT3TB-TNQ7#ulG5e`0?7{bP(;>iT=Ct`PU_lo+tV3y%s8O zVzEL;xZ7jpX1gHv*35l$^VPLmM`6s$KM-$X&6!*Ls-WPlRE*GgNB3&*$ycY#Sm6$>Y1B?IQ(w|v0x3DppZ$X|AHX|3o^YzKbty+YibJjwCE`&5Ye zt=IgwZkdcEi0Ev%oEu39kh%CquI*8t-+~s+q1Blvb-BR>&lY-*Bf>uu$tbB3&ZhZ@ z%8wS&ABe@{d{l2<+_`2iw3sXSU~@F&a_q96ieQrF^zzuZ<>Q9*ruttjMQ$xp+j=MX z+4e8bMSEkxs`u%`d(OY9JJ&NRgYzd7Sr(PW5j@mvPr(4Q9QlzI;EpH|u zcJ=yZRwnhV)g5jVqIg`NhD^$GaB_EA`{}~3HmCIIy^>zObxfvO3nKrcQ)N2fR&nv_ z`cJ+V2eAtJ#`*V=Io-*0_lgVVr%Lx7yJ>jO^>?1ty%*14>8*^g>&NIg6elG0c^|13 z$tTa{uF*?BC8^?g_QHj_z~Lk126+X2AK3;2<aG|&z0R-n3gaSu&R993S3 zYy2#8;J%g9a^rgSKj&@3{O0cwi(+Ew6RP;_#EJ;epe1SbKY`?d3j77Lpy%ZuF~xsBq8MN8sw+$IflghcMBCTs8cz-ONsCRH09&uaRcg&9?u ze)_Fwm({PTZOg#Pme8HkQP{R}>4)}od(z6~!{Xv#4E|Vts60NdxNXAkTT^F9^T~I! zZY|w>J2)Nh#dM$cIy&c8KEb@)wOWqruWMd5Tnz2D7cmU2du~Rl`JBO6y;g2`d}C9h zE9>uev*MN#gYFgCve$$vPQP-q$2Lb$jt!-RpfR{M~P^>HU;*cGrvS8=2sxFbAh~Y1xWS5apCck1y?v znXcP=@nPq&wo@|cck8|t+$xcx=6q{+>Pgy>3u)cQ?i#G^e>myduX=7!how67l4Rkp zs;B>bY`Zk|>Uz0BPJOrMVYZ6aj1D;!mcCJD-JHw&N`CIzE-91Dv%J?c@r!v?8oiL( zCYkoR;&QIx2q%w^*IH+|SvQ(Z`1^j5e3Vt~&+YzI}$o3|j&FdK%TW>x!e!=E!>0q6$ zZ^S#-XvU4&s< z0jqmqmszN3eD@FRmG1by^^8j-=L<{sTl2%#m&9YDKTo?>4Dz?^>rGQ zO@p2zNMhD4<|Xa!LAd}azns_Y=C8|o=RSuR<31ewb3ty9%E4FG<&CpvisOmeDXl5j zOE#LC(k6y_tvbc4g(k*#x-&$~b>FvKg!KyGj2PvN4r}i}mmGOZn5wr`fS_JZL!K`8-q7#7T(v@WOiivF@s1Ny7>0MDaTYS#`U=>&l3i^d~ZR z`KJW8IL3{qrXRQ&ng7|Ees9)mUO!tg*{cJgB0sVt9X_{mdj(6x7J;}OTig5 zD{WF?rBb_<7hDdSoE5%ykNo9am)9Ye$5;50eq_lESe}ewOt@lvr~Fx${rPKM$LgZI zgW1l$?68v&FV@X#Fj-FtQ_hN#{^-`I{^8~=)>t@&8 z|GmUS)4YW8V)ykQw+iCTd0y`McL@tz1F_(YTd&NoYxHKNxX$11(R}`{L_Q+!&78yU^9_GJEl-npf!<{`YNYSsr7Ya(aF6nFw8~T=&Dx z#cyrgZI8STNp%MVPoxATa#lrqNS;L7EuyNBncp2}37QaDNnTWX| zOaOAa!{+!&kFmKpMm9yA=Q~xxXiYW4m#33wsz3Hx-`+9iQ>rHI*s{c|cvfbY&F8J> zJ@NoT&PY&(-##pM@`r)?pVfE{wW- zGC!Nmsv1B`?x|y1wf{+x{I%>(>!J9Lnu_OLs}0gg@lW$;c$9C=>PUA?x^DBo{QPD< zvH2s$;83E0&z-_fx+}&lshv-Gn|ls0=EWrm3Kn^=MXANr&nL-B&~tL0sRp*6Vpb?eBTE8U8OSLSM8i zwp4r;T@dx$;ek_Pkk@VNQnHV{u57=jSb$oLCe1Ou)~K^>bMs#v)CzU7HYAr@Apk+g zJy?EYR}b^QTi8t@b@9sI^)u1O+JyL;%hsN~;F0NbEPj~dYLHkJ3T6~ffc&-Fax7j_ z4zDXZ43d}+gwsOEW>MS=S4hDfr016J)V_LU^2zc&K&!HJ)5wKfev_=7W!n>F`K*$! zAAWR;Crsa2DU`ahR2Qh2q1KR2UFw$LBh&DFqnw4LgTj|f9cenMVEi|=_*L`G`M2ye zn@tbpp4F5!Ynh5SU-|M#E1`e-m4S@8xzI6wZQh$Z443(g6v*Y1x0iv6Y(3y|+yC9&qqLte;ssv`OerI3a(QDdgcBJaFoM7}fO`vY z8o(hWcjW^fC!oy8pE!K0%DA+@wJ4X6R{M~ZbbEzP0aJk!4>rxwAT-DL8jF|N4etxU zzyG&o{ofw~f5TrrxOWdxgkG`rvB(i#-pL)wZBUmtxlH~ey78RohSRI@D{IY*7h8Zt zW7RwfVq{~KRA zR`n5xPB3eROF$WYbIzTf@#W3L)Xs_4wjKt0;(3$f0-_Z)?pZBrqQkA7uKjsxh2JAD zEE>}s*R4vvcON^L;)LR_|2I_;FUbVqt(i*r&0G}~cPm}h>{ubF#}uAn=k@oR)oCg_ zm%ky{Zn3=MUC*mBlm;C68nvU#h}Wh44=(=V8+lD1^N3J!hj{0M>_%?juFCNGte*IB z@r26N)v#Ss`u6v$t@uPYzBVPdzLH=>alw zvk(@MOyQ}BM57aNupUCM8 z_)Mr;e=mRSSGuHbOkuNLl0H_Jvly1Wn7r(sGoIVIrf} ztgxk|QO>s}v)1C6hXUQj#d~7kA8oldr!?62FfY~!1?Rpj5bj?pZB!J$n*DRlT{1V^ zWm!ky=b@dXbWL$0#--O@A>FrcG`Zh?fqBvIc@W>#NKMaHZHw!tGhgZ4@_VI|^KNB3 z$`sG;GbU-ew58o+S`06e-S`d7f7?>oi}%yaE!dWPkozepxM@5&^}1i^Zi%9Sw;buF zDuGf8x0@F8?1^4F7M6RRO~zu0ZgJ3v{R1{PjaaJoEo@0or8VX{@%QLHHu&RwRJ~*_Uitv&jS2SkwHO!P7QfnMfQ05)Yiiydc5qI$LoJ2-G!5> zyeN25+WeNDgCBTrj{rPq_cqytLj!S^Vw5tCLXn~^YFF>OUDDgwZI3HbY)y_=R}kxl zHHPE%Z${Qo$&98eZ!~val4-ltwUV5oK|i{kXK}KQeUnr17puA^P4e$LzwJ$bBLjWs z1PQ!^UqOB|>TEs?a_d`7pHhe(1P}i+lZ!W;t6?8#F8S(uV-ftgYR3>OC;}>@jjH;5 zUadavk*@poYM3}JHGGT__8Nu5b6LE$@ZA*^?V4NZ6rF`3;9$i8M#gt8tU)hOuwht2 z=6^fW=HG0z(OjfKSX6b*yBg}sLOm4&(X;9?jAqAK*`Jbs>lu_-(G7O>xm2K}fydb{8*l3$ST!>=d zTR7{?PvENmF^i$=f`0=_$}-w=_c^wfB2;NXeijpgEz0C%X~S*QG!OOm>O7Bjfw;oi zCIBnw99Xv?Zq%0U@N|P*U>%39HM)9yL0;RtcQ4R6FPR3}6d~{{QPqITns$uPxinaj z9Lspi(NR$G61}3TnhJ(m-zIYRQ0>j6X#9m^S_WBeh@E(%!eP4Z`xAp8Fw9^a$4Vr^ z5L0g7fdg^RRVE~pGpFzt1SOp>_5@9trr|Od(6XkH&Us|iHJ4zvg9!w9EqwG;KCd5NCl(dD51vmu-BUJ23!{#rufu^Cg%@GvxJ9UtKgvb4&5 zEX>i)4i&(Ihw3Ag>K-`q;iy$(_OWbH)fAm{XYK`nq13ubv1=I~W3mXYR|_V9#m` z`e|@E+P})k%xrx3?lWm=NlB?ytnE@bY86~gK{ztvO23=xmUL>#WPr~kmzs_J*TE}{FzUYaDk+U z0h%6qMR3Q&L`8G;3d!vAzzU!_B=rh3Y2m})J*&ZtgPvGG;K5Vg@bMo%e!yB|$YY$E zV%tNu)3~t*1idxPP|F-Tc(7yYCWip&SfHCP4NLbDx^Xk$32+mfZQ9#jGRb&vBraGn z)II6y>4B3F{KEsP7L=^|yupPS@X$kATTNv2lvM{IJ zS!V}pL;MD0B9JuN7V&tcP%_1f*@+SecbfXNVurh6KKf`cLR zhLLi%_60&34gkT|tF%!i9HRl%fpP}iIbaaW$qCsNXmeAY*Yx;f0ovm*n)pmmSnXe* z3ssk1vc)ARRlw_pGQ~Sv^m*Q_ zwt)ekVh7?Ej)5pC5d(XNUNJZ%1Rvz*kOPPSu{g3tIRhR-R>hKHVj$3;*pn0)iCe

dsvl1GdmigqXL@_$HH=Qfz*Tr$D{VO+g2h<_=$>+ zp<%jC&cP5feT=W(;530eo!!9%glHBP_mNs0v~mriV2z)ovoA}XXo5n5a*c~^K_A3k zprd4A+ccFvh@9Prn_M}ujaL!J2Q2^ojh@5G!U8g*=g*r93)dh^g7QdI^}WT3Pz5bG zZsO2XT45vwur;7Vz{*B~;iZT84(C?z(o>;Jp{GJ316=~H)o^BLz!68s@RwTI^a>aA zbl^<_kLm;QYM1%CK}CWh0LzFsEG#q>=L@W3$(6!VHId&KmfUN zCCMO3o&p^W+;uUIK7+Gwf^Nfs3)UOB=2+#U5Z~cwmhy5*UM0-(tmD;`m8E>w%ZBIf zOp+vKRaG0{a^kXO+K$J30JjQ6-xu0^gu8?^umf=p47`<*gfWQbZxM&H&Xd{}N$)?- z1_p4J<3El!#X(u>|J)(rJ%F`^$v2)Sbl6Xy<3t4TC~A+A+43y(i9pT*Hd%hpae69E z>6Ak_e`>XXeRBkoduGw?ey=@b+>!iMJCRVaF>$M~-_0IlD}n-Xry(*rT7lw;xI;Wl zD6dZ_K_fwN0ct~#;Ejw}TZ+sJ_0lv@VPMPQ_!$HQC^s}Up#^LMvSs0f;;wr3io~ra%?DcPQEpAQd03xpM!(; z>64oE;{f|SxNXhO?%)J`#0G_p^C;QGb@?@%gaQJHd=C;Ns7Bzza?yoq^MRrK61HpM z;USeSn2h1@Q6oVb*y@KWAZYk2^WesMkUl$Obe950wE&dL z$qAf8lV_#v4=Po9*Ngjr!~nQsj#tEUb?!3a4d5~;>o5N!dDl*rZ&Yc!9w1SpBX2k!vj zc^bSx^t_N@An<~Pnhhisr^Li?qsveLc*A&!_IijJb_vN;X}J0jJG(jsW#R>8WkiG% zC!mBmL$TMz8AT$j?nc^iu7OU@IQ^C#E55^nE}=!dpf^-iH(n^x&srA?EL%` z0G~+VTwF3T>mYagpM;x0e~FzgHVG?kTF;j+ke(wJ6VSFP<9H$?!8>`02q+NRASB)k z4c&I723%b*(h*oV9suHmJLR!5LXxO9VpW`xm34Mn1E-cC7~no~%)iLbS65M? z$McVb*DXB$1i87-p~{bk+b5JVcY=da?qlIWcj{GTe0NowF9xI^^6H3FvTzBF-UG7) zaaq|Rto6i16$*c&$%ZeSQe0f*FA9`1=pNx@fov>CRLvu!FjT-^$D6{c^I!lRBx&z1P!$Dh8)QCqejKpy_{z7P||^K)}6rRvl} zTfV{0bHi1|CuuWjGllO+rV=zFgzt0+@6x0yd7+XdwLRxnp6t?_6}QE_{JD*pl21K7 zPI<=D?bFFW8xH=}&b?}*9gTm+q4f4xs&z!&$bXvjWE2WYzpMS$bG5rAb$qS_GFr|O zg^W3Ro!lO6%nUEdWFm2_{-waChQJ2vthDr$g+>+(QHVsdn@k^kQRWGk)e{%>`QbgG zfjX#5_KJ}aN|E)A4SyvV&bRY8KZXaqLEi6QzqTFQZY^b5-0LmN9&Zf;GDP8l!NIiO zk}xTp={@<}2em`IN+x+mlhWT6L$L7UYq#9faA2nANYq}j+eGs zzgvJ)lGj&nz*nw$y?tOc{=X=i!;#JJ--m8?Rmt+p_=ulA{f$Uup&emoU?9;}QDik6 z;`Avf#=s(_VRl0lLKMITOO2uki>_tG>83ZVMVTqKB_$@3lhvVM$AKG%SXm`lKcTMq zF+E*XS!rZsg!~^ChVO3R90FZd&^f_d!NE%35R%8no< zok;;w+t~?gpj~%aAC=+*;!uJHVI21d&v!^}aU9IHNSx1w;0=#yjlSJ9G(EN@=sanC z>IaBlzA%3DfhZkG7|Nxy`Lyjsv>}HNALby(K|M%kK+nnLae5>>dkUJ#RCS6vBrX{I zv9hv?pDN}4IfUF{?y`r#748(*9`#*~*@+DNH8TJIWD=}@di&fyzE3qVU-IWOBcsID z@0L90n{NN-$3gd80(ETt$cOrRvS%tVYh75t@eWAP?Vc@AhX+i~%{_#=I`a}JyLi$# z#v*`&_0S;%5zydG+xI_x1Ijl(jrAcaO3JC9aJW1YL@PQ*xDUB60xCX63Ye z(KDT9_a0%kt`4WQ(Mo*m=m4D-rx2mLsz=I5JblXz=nlEOvqT~)54;x+SZf!&8y^01 zYRU!lPB%9zVJ6rZNhQI5OEyJaQycg-{4#N@6#Z@FIe5Y1&{!WH9Ha#Y4`+T|U0vCf z{BBz_4g@1F4-Xs+K{_cY4M7c;4y9C5ViL|8YB*AlJ;bz!l~d~HvtLKH=N(rV&ofhJ z)^F16T18IC;Upx*5 zBJgr>j4U#omso<*Cz>!gFhEPdeQw|U@%{Td^Fq|69G<%w&RaVNpT%ipKpxnGQ}KkZ|&XbNPNIrdrbxHnwDO7D;h& zDjX1>jGBxhm_XqTOKS*U5)bp7f9ZF|^y0mDO>IrXx+7yVcSo6&{(K&|FwW3!8`*JJ zTs$I+=squ#lhfS4mN$l@D-O*K6Zr*CR8_vNZe6r5J&2PBI{rwUV2;#K@}o39@}1aG zV%Kb~pr$t2&$Qo^VjuYt2|WoIB$^kd`jPHVeh(aW(6Nn6u+h@a&ySvkRkHTz`1tm` zv%;sxMn`dO5c=t~w-i^SQLapOwzTZF5`iVvy+$lINM09~mdFbO;G=;yp$NLjdYF*3 zv6Bu|KmhXjOaGz(x}Mt1g8h@**kFn_**Q3v)HIH6W5J|%@B#Z zu3Y38!C7eDurzyo#!{H+aHKVk85KN9kDuLI{}SRkXnsRq_~f9GPh1?4_?_+VpFhG( zL1#v)UcDmUCmDV5!lNKc?TRHWL&F3OUW;PMy?YZ2MsCOcc09l{mvMC0`2#!aMZEjF zq;2M=9T=XZeN>5l5(PlSGL#|Vyj+WZ8EO5WZb=R z+T($>-7U}LJ0aDIU8~un2cq8d^YXS&-NbgHz>3m0GLn&&&gq%1dx(=@PA zNarogUWK6=G%iUgDNVxn>r7{G1SzB(z%aHwEcp2GV`HPD#>q1jFgTHrl7jU(jHO&V zQIvxNte>Y76j4*-_pjzTxn6wd&Uwhe4DyBs2DmPK#ssUZ>`$BD<{~KFv;-r;6_O1x ze6u_fOqsajT1cHd7e`Rh4U3ZxiNjHH_wS$S)xRG-L65C8_4%mB71U)=NCW69xE~gV zqOb=}lSSp_7f4WJb8D-EqvKFP?qMqT>t=1LEt{i$du9geJeF$TaX9o7ixqD0JUHc# z8QSWq=lpv5ufM{lPGxEHi7`|A@ENnuBu7(liYHvr)I@QPcr%iZppD8A1{Qq$kX%iF z{|*`RE_-GM2Be)H_%VLmM@vh4;6M-Dt=r&!ml7EXSvKmv)Tqg8a%=iHC3Ioo#JZoN zVqEwqvQ2om9O(a|v2mGxRec3^G7;hC`0gpc+5B190pVa$J*#Le)Y$ScebcDm8w z^fa6-A$~Z%#pqQhWD_E@LX>3htSE(K`<>h8_kI8K_O9NydtdiC&f`4J;~Z2hz~?la%t6{(T9{mS zgtDEX?%BngusK1k0r>vbUQ|ZrVAF5p-5AFqfk-A{=OQiF9CY6#a}QjJ=EpF&39sb5 z++0m2BxST^_;%{QF0O4q0@=<6)QX%ra>TFUnnf|C@lK)L4}o6c z?KR6SDJh90r|j$*%=0oS0vR1qUc$J=;I+$kce>vRm+NcV``Fa|`eFJ^1Pnp% zR!|2f*3+;vv$Dp3uj}uxeDj9!NDKPvc#QD*;h0DM4CrP2==&rn=mHiSj$Oz>2t-(o z55M)n`*ng*FWpdqiTeT3-S=E!ZyZ`QBFX5V0;0mpAP_7lSXeMgUU|ygfsYn0*5LPSU5fKBgU2Il2Yw0Npd#qPy)*dzXz>T3U>4fNKjIX3VMT|&=6Flqg zA(w?+KvYx|2~bqLv8U9(?9qPqU6MX6eNiYKcK#*MBw^!wb6{5tCjizZ`LV2q zuCK4dHv_Li-^{GYDIpPGlWD$D?#CTXbNzPuD-wbh8{|S1Dw+dYJYk>GM~g?(A`U9T zxCWy(!MK(L6F33@axq~i&lk=S0L~4+0nRM8wb4`*T8LI-5ug{0nqYbb0>QySLt{yB zuDc(?UX=SbfG9m39ejMfieNv7)Mi|PMU1CTpPrnUK+YeTJCfhv_yx5SrYRpM^Jciq z+*`Vcl#Y0uav<%6jNUNx^dkHYS>T|TV_TI73U}@lJ${TBuhLG-BPyaC9Hbd!pdF3- zi}Uk{c(AduIuYB-;xFH$4Y%LZxADMWL$$tsh8WO#b8=1~{M(g~01>Y2V6PLXdoT!z z%au^e;W9Hd)s0q2VUI04hW*m>^5$@${U~k&(fsqLVQlBkl$UJ6?5A?AA9cetGsC7n z{@?BJuDN*)fj6uN52_^ucG1Dqor!K61vxHS0rmq(=%qw*(F89aADBXl3FCY{7%IT( zmV)uRXfz%&2u5n3w>Jxqvpm9W71Usl%RfMvlLf=JURQpi^2EFlBofHi2o<&lesZ!0jyk5O_3u>SHdku&c}pVy|K+_DHhaOe+tg4xZbCb04fGDju1=VsC^*80hI3B(+?A zea(s0Sh`-=gFJgAw0?hjj5)ikOb=O2YHGdN_t7&Y<>@^zyLpq#7b-b#&&wVErv;#y zHhOjt@84?@HQT<23Q+dQSsi0FOaeg2cu5Ad>K(zP^OR@NjL(r*tYH4&-Uy!2^Y~qRP^iDJqMQ|&*#tci_`xFCgUW+%sg-l%?UOt`FExTxU_(sYS}L+DK+A(gY<-; z0xR53%g*ULOUE@p2x(k;)g_bkkb3HbfIxOi%5``51Kb<9d2rUw`Ut>lE%7RuwZ5UD z$3LI#{oWjMTT^HnaSY!#(F0{H=~~-ZLuHuWA`+g?=WNM2W>Oil6(bglA044#s?y@Lbf4YMv|unG-KhC$fI z!P41 zKTTE^ibCQCe3nbf$^yp9e0VaoL|jc(m3$hqku3nGrRW{#G7w0H2#gn$ zm4E&DLrToLW`-TDpiqyTqWe~OWN>ZVT%VLZEAoAOT-(ra6R{Bc=NqlX*RTPW&Yp;F z0c1c2ZXjTfF!Vr@@-WR!*aU&*TU_K;c&(Xv z2NagIHAAv`^u?0$@*Wg_r*Vb5sqb?>5 zs@*QAo`K9H#82kr%A8BkVZR6dW)*}d(mB4*&6Sq+Mn*-!ixM<8aSLoKLOrE27Dpt7 zo+{ILv#_)K-arq>S^g{y%fW;2@Ee4Z^DL=uiG?!+^pNKNVW}g%4OH2y?Qejw(7YmD zL7do-uyhaH@oJBT^{e!YxbCo8mIF9_AzB69g^mq6iEpLE;2YW~2flA%0lA9sPCavn zR1Tv2iAOBrhumAYZh?$OnQiDi|IF)UGn<0Jf=u485me2-yijc&m-rTJvVw*ZJY|T~ zr@=ZjkM~A+G}ztas#W+Q_=B;2KB;S{ z23MwJclX|)3GEYM^)1;g7u;9SFM5obi~RyZLI>H{D(?LiA_lxQHZ?P=Q@NiZ1qbQ( zrf(|KYFJJ?`K{1UBt)-0GoT9N+RyOe{Ac}N|4!mMs$bEqN-L|YDrukF`r_H8U5gMk zN|bx|6|0+NpGjd4NGnoBq{hV)#uxS;3vRA%t5Uw?0qULv9u3pkj1RAVWIagKJQ3&z=CnE~Xi~0b3rb4-|$CWi#hqkhqRpEe*TPq`t(zGciEdaA%yu~zuq-} zkaU0XH1$}(H7@E3?5>ngXWW))7(u1L)NMzAjLA`~#dbBnF=tE5?{HcM?@M?{P^+KY zJIC}u#^`e4wODaqUj4Ag)H_)7DBWaa5lMH9xg&k_q@kGI^JFA>^7=x^bwJWKF)7L9 z#*J-Fc06G&!!_jZ5{X*6SFXJ5v`iwStu4gqhV9~KTbP<^YG=1=;t^jU4s{|8U~tbG zsjXL0QSo-Jqp1lG<0p*%ezkEJIjt^QB&q{9!u50xgn;oqOg}(eM8$YxDenH}E(Tv1 zqJvaL_6EH>|Fl`cS}N~(uBRkGQdHD!l_1x7x2gsU7H+yYe!TSEArLyB=KYn^%;|64 zImUN^vUZLV*Cml6$ap|X3{5^D17CtlDAFceU0Gir5@Dd^+P-mE`EZ|g$!3r~11B4i z{)JrRVfsr{x6am=tg^HZQL)}8E6Qz;^+E!J7Jpj#f@4!0yEx?~gJV1)1d6u@MA*oy zUSl_*PxIsha?J4>wVuE-)Dfb;Hr@k&|8f3Z52X&dpm+he|G0nvg_Wj z!xxLdNJmhgG~@_o1+9$|rKtCHSs8BMZpB+~d1he{Btonkw+AMLXh=3s#}l;$ZbOb7 z+*L4=Knap4majKEHrCPCNALI*$Qjgluo7hfEj&U0S)!9ig44nx##eE(aDS7nZpch= z(){xlawn%f{w7y)eJ+;FfzLx;hA#n*L4SeDVW4CZ@8`EI!=1|)$3M%(WTWi5cfmRP z7}evQ&%`Xqu~?*>TrqE7_K=^U`?M?$jqvvLi@b6~cIw0IG@Q@YtZ&^a2}5Uv*wSPw z3NDU;nv#iw)>~O!Jpn-C*|S$cOE$1>fAr|S6e*MsAO3luLaX? zBIDaM2D0;xlhfI)kitR-98tKq>d>UtusbvpV{21GtsM%I6gg!-`th_oP=)*Wrrx; zhHJb~{q@D2!={@pR;TuP8X9hTxXbadM5K84)?D6)Exp+462HT4Y`d5N=R6((%9y)d zz+P2QQo@H})=UJp$EK-XX}yhO-$pzZ`bUsC0K)P=!4m_U?qFb$`+=VSUS?)AWBLR_ zps)g`MD0T!kJt|!EDMjOq2Fg6@bI!-N3y!Z*+w|l$IBW$2v|o9kcOY1F6l%;L?MzB zx`Qj=W%C1GCq@gto0= zpPlIJaryvq$r!Df=Ie1pnEibzb7!g@(#xwe>6MlJ=T-+!3Am7$GsQjs_piFDYO%V(yz?19;-~iZUqI39O(XAd+b1#w5<;8DaWRt?v>I3W z6_14pRprBneZh<0FaKd->Lo{(Q$koq!33;DYJx#S<1>Ll8pwI}U+yuJ-Q07tLHV;% zekER^zr7tr0n=(Qem;XRr{TAh&hwzFfQU$Pi(jzx?Cxes=G|>l?((_6HaPtGExN*M zEPlMy{~pBh&-|jI)K1GECI5*TBJ^QIQVl-Fdd|))%g^OX(2%;y9|70j+C`eFPI7nR zniWJNMn(x&Z)PMWk{#2ze+qa5KE@12-sVFS6EECt!9_QsP=Nz-B!Hi>9(Ca}T*!d? zI14x;nkE+jN48T_!wd1W*W10el-qE=4WiG981{iwDM3Lrz`R-rA!8)@(?Rv@PGZz; zEiEwk_j!0;ZNYkI+n=kx8c(X#bv#~hr$kRy%0JQ3-Ph&q?UqwA2lOf#a#q?I9+_Cp zG@Kw5;ro?QTdM|+6ZA>$%xw<3I^Nk4h3~c3jeJ>{{4TM?6{h_@TnEk>EbmAkaqN$Y zon3x)b;88Qu3%h<4`C)=wI$0^;v#QPdPR)qj+IQ#O!=yR^G zw9QzgAKm5NJJ_f&ZCG}{#u6D9R|QM_p`qJun8)1m}li@)8w&Z8b4hS`!gQ$(c9E{ruf zsU{>OJfMB`gAC*nxM3LKuI416SbX*j#P00WY^w5ykL;*;>O>wT^CIPRecdfhv;6hz zz_GHRpys5r4`O0tlRURGG((+W%)q2fij7Yc3mPlCB7|UJFmN?dcmwQ=O}UpU&DtO> z7+PAo%X_yr2|aBY;fU>@WrzO)2g;2*2XNz zwgqM;+1>6%h5P^k=dTJ2_bfiHnZ0rCTCE}3$L7|1>!zE%-Hv8a5!Gvl64pnzERBb` z{mpHtSj9@noj#v9A@+uxm+m+VgST<6w2{>(X&`aR3n!OKbl)x5dR0ky)^-QgMuoJH&0U@<1)WeyujCw$FuY{ z0$>B!p<=>DMddx9th~vC_wZ17l(2Xql8hdUeNl@tIXArBH*C_Li1oz%VxFA$kI&0)Oqc zzMNmR1R=}BBotQ^(`h(>FRH19GI6ogzd4i1d#j<~RvqsIv)^rjJ)$V2+nw*p&Cpdn zEZf5wn9PERmLL7a0^HoGVD5N0(4d9YGRz^Xq)@A(4G08)dlg56u<(O&^(QpE!opBY zlSjy~T-kr%fZsu_C->r_qs!sqsl^TnHms?-Zyff8$(UTx&hQ>Zu1nx;l~SM_tg-9w z>pOkqNQ2=TxZm^Y>bC)etOl9kYa=e++iD0SW0=FEZQN`u!or~B;jxJ(-dumV4*?eX zpf_=_lbmg9B;W^z@jdbvymX6?q0KTr%9+F&o%!%ys2KYay>AZ{#oY7fvsmAx{thqZ z9e|+FNiqHpKi1X~;Yrpdo0X9PXS#~hr@Y$fA6*lQ4P#l33|3(9?cx2Wxi||+kcmlB zb+s&s88*L~Byne;{x`(T7_7NOqEw3SJiD5IT9LBV+0_->IbPC^Lh2!8FTnL6neLye z>9dEVgs2@L^Y;EWVh!w@a4AC+up>ku;ykVQt0p&eCV?cYQQ-n$(%+?Mi3<(=3@d3( zYOrtU%Pj>0^Nb-t3HwCemnP&Sf*XJKa70L;-3DL%Hq`2?i0pVaU!BF^gwMWHim@8S}j%!}$AUpYi6 z-@=nK!1u&n|F7@_s`jD=<5REodzgIcX+EDPwE_oD4uBSdRwj0Kdx1$&0&nnb`%m>6 zdgkW#nxh})MMF$zk^o6){A!^l@+Hvxtm%gsT*|y2fT%hx?FR6tW%2w9;Hz83;?CGs zA%1=&c2~YP^{yPp>6|$IMd(aLW#!9`>HBruyJ`JRV1ny!EG8w@3vQ&ev`gkMmRk-k z!OwCFOPCi(beRDcfD|gV0T%yLQc}!FL-_ND+`WL*$k~nFT$;v{8o+6?Rs&xRgiSOy z`m3cE#%e+CP59wcX@{T!Gqd#IqTS*j7dNK*be+xz#pHYy^nFrV${``4o2Ch?*xIBa z_?ecJh-+BmkMjx&7C#uKl4oKzow*&{ANTx<{`ltity90YHuAh%1-wl?Iyw zW9diFiF?A7Qplq@4?d1UUw|YEXq{XDW*1}Kp_eZI1A3sYK}!QIEmJYpw?b^8rSNQq zh@O%poiD|031_}URodt0?ny~WWU5lvHks85Ih`vlD#DR@odw3WD=P(XbH&>MDu3Sx zQ5Sv;=Bla#T=wSID2|@=eS&ZJ^5tm#ocM%< zbCT~(3mJ7QW5dN+cZvHY2~v!(447T;p$_gM2QUz0HF161ICEW{#a4j^USubtFaA21 z#LJIZXAT0s)S4}Tg1(5GUPU-zU|LO?I{xk39aLku1lqM5MG!SZRV(UCkSBMW7SSwS@{vdiaGB($r@sp+OgNPD$s z_4%{{b%TR4Ze`io%`*0MA5+=`f=r%OZS0K%KtZidB7Ah=Z2f(BnC!#}$&hpBg03ak zdOKO#xzQKy!W}QtMBxOEkkr*#iZljX1KdEYHGn1UPfnTjUv;Rt%g;GTKIHZPv3V!y zb`5(ni;lIG!Kb~b3kIo3$E^=qF>#W1wKC__$4+`B^G-RCkDsCT`7|`Nv-)vR(88ZT z#o1}loN*sH(%IETsSV!a+xWO6sYh8`ri`{_>Rl|x3+K<{ei;7wp!MdVQ}&3zM)|vM zx!~0+TN4v(9qbhSu}`z@14pm zz7h51(ZN9U>lBp&No`bIg?|Y+SkS@3-L}O4@*>X+JdMe>10p@Ie6;BiXW{X&)na9C zt7*k(^Uw~eTPY&1+ajrhZEE8FvAPrt_uiB=PS`5t0;jO~95Z)yl?rM=neD?Dgqyg^ zTB^8*Kzxe#uxl4&5AgZk+{C$xrX$q^y2z3UMXfiXL7*AVMvONm#cfx{2}{LlX9BSz zbzKw;?&DWnH4B#K9(c*cOqx#+6b-j?aP7CIc9`mo|1?vH zD=5^>q93~s7y*XxikHG6>D1SciR*GXgSoafga*vkH#8KdDhz)9Qd#h;d&p{_&uWJW zP0GJ6Bm@;Z!=!eh47iyBXm&96A`U}2ZYX=L#Stk)qiA>Ynj4}!@SIIT zw$;4?UP8Y{=-4p=l^1~@fRlxVOz@t_u6q!!VCudSHO<9G@(hcm2E3shzZ)8S@7KU3 zGwQ1a#NE)TCBC6=21^JrU+r}~9+Ez0F`R`vRSRdL3%5#~f zpcMd>jx^vKHa*opHNa6`kp>KN&CVVZ89;4eneab7HAfj`?>4!;q(!QPqNXqX9QF=O zTaiU!{Owa~tKf+fds01XUcE%~J55u5FY;#(oU;Fhtg|Pg4R)2V*#kKML4kL;g}#0- zI#u{EBG*9kM>YSz!gSunZQIw|o4AA;={Xh-x+(x3PEJwpO>vstU4@$S*+I0y0sFBh zo>Xqz#icQ{Z54gFtA>VeJT|1B`+li6^={qcJpJ;KAhp`h-g4+uVPN^p1lO}pv+A${FfwiodX^cIcM)bT1jU33HL+fO=;Dbe-x zBf{T%>c8KtV`>bLyM`8V1yYcEp(A5h?J;oB*~|Xmv4(4Q7{?wcMAQm^s9XYst`J57 z%z)fO9LDl8dJiPg5)&l|#l3Wj7cS6W%<`OGmHt01!2O;8!@TXCoEefxZGg?GFTs4d z$3|T_6xGaKlo1jkn0@j0^+nI!TUNY?(aVt)GutvUAcj!5wI#@!iLgL9hR2NH6yyHZ zaeER=1(}FMCUw^1fwZzpVC_vGU zntGThKV}7;$irkV3QEejtIv-=sujVSSVlb!(AH@8ocldiFgk`Df(&(V+JxMscW{s~ zO#@C6Y;0EQB!w49qfMj|pB7_waduvxHIqHX!HKd(g3FXQx`l zWMpYVf)U*LH57q(kt|5+){bE7rfN=;dP+8;z#d=IBW5~IaU>DNUa*2 zn;ssp;zj=qO-|zBTM)wb_dl05fCm5j=qQHNx3$V6PMok@D}!m1zq37AvH+ zKXmke0v2?sF)F|gKkYd@eb=gkQV((6z?o7lol>d4*eVM8Rh{hOCN~t(=GN9lGlxL# zV}8EoT_$u<*vAM{Qx>x=??;&k2toMafU*mWAvnpn`}gZWM?gM&Ulr<|uCF?IkNXR* z#nK!;^zmUiV}H=T?JA%BN&ImJCL5-w^V?ePFYqdS1K31FBn|{ywJTSu7^@He{mZt? z`AibQ|0#=~&72{QwPTr`mfDU0B*l)MyPK~Em9a7-C`9L)cnlPw@p_={O0Co>)Zx_C z;5{c^E0K|91)Ei;&)p>?r3N>RHxM1!4+<2$)6p0I1>MNv>a;DtVjf1mN|k+qr4C+Q zupuIe*82NXc|Qydky=$aEi~vbVA#^urpq6J+*w;&MCI(9jVU$0m)teO$>r-GhnSGZ zk01Nk$7}I#`y>;v0!)f~N^XHUv=lS|Amo#H^hAuV^;{O_Z^)q(tZ67~e)pvb2!NTi1#`H8CzPI=Ss8+fmSi|9mBCiH|rfaxH zp`nXXloz1n{{boL;FNkF~r_v#qlld-MXB_iJzCdxXjpYoa- zeXDQd4LJIr@{|3Xz6x{^N|*WiUnE$1RjQ?A?e;9~=ga!K|D-l?HRku9XZC{SL% zS$>UHSrxek(>Cd3xdc))JhbOen28|zjV&zR3q_P71>@l3?e7iVB~rLk#8OjHp)ZjD zSpX;12N%$Gq;AsvI_EQkq+D{6T!8g1f%t&&0MH&KW1StQ#}OQbYf|2$7~mfb&hVSN zh*-gBxSRT8^(%1w{`CtKxGjad&GCC73hdd+Dz^g;mzK$#rm-e3sN%^m)%mU z{n1g{>gNuU#Dfn)D$U&v|D+oD_=61Gjh7rsShebt|HODCc!b_m&2xHU4Y>QYLDIsz8g#-r&$Ej022c4mf;OBip5JajgvL^6bA+LAhd{};4v&?VegRSAWcJ!T)gX|)*Y zC@3gCcXX%&VC+4I=S8}%-n=JlANp+sn?n`0CC+WLP z#;OvozLe}$7qRK~ba{hNI4)mOMEwuA&E^fOSvW>aWqapk@$(f-%`j>1daRo%Pvc&q zxxeUxR9Zpq3(XfAtjBnA5X1ZRKwh}^*J)WRA#n?>|5GS)JXI#i>#ZD)5`)^91=)m)+!@gGn3EU6I&fy4V<9d1&FM;RV<73*_%v$p5Wk+OZkMB@~GrNh?x!@+L`P= zEEI~S4rGG0G!QM|LpK_CD5irUQUep+Ert{!6z8e)pk1$B z8^!Qf6`cTc5Hgz=X&n;e^l6eXZ-#Cjh`ndgBfp(F>?;ZikhfCiFTa#b8>i2rc?Y5u@P`zk z=lSQ)@79)!vO~@x{dz$|r-TN72gvCtZ0Js&-b?2P?zhJpsxdd!#g!dv)~81KZ^RJ; zo{V=yWa(QU&nQwhOw-UhAS=|VtE-cBOcYU7+W!eieEpJPvUSrYqNq1jQU`zFP~NVu z@3V{Z5)TKxe!-}%qy1sr-X)DFL}d1TqG)tD=gWJ`ti6F*G1oO6Z$$JyqAD268nX{k z$q`q{-m6J28Y`%*bvgazE(00&QC*o|5f7Y?wCJa)>0Q3ew~x(grf4yZbiq1(Wagv} zyHU3vMDgO{5>b5zE*MB~kjGkiB%Da<1zstqIBtY;6m2wJc6sq65bwJqFieT+3&8mm z#zDyX_8`|bG!=Lh5+M?*d7BXy)`9AQR3h1K(|R!5_~|0giPNXoNOp%%myBG9zDS}) z!I67>-w6FSJKGN=!-o47cGKUX$QJfO4G!klV-r;!e2pte#PfYs%(A!oNUR~%U$h-;C=xbT&p%uewr+OVliwh>6tGY z#I1RdNW&SgVSJpHyC6!ytLB<$3}KWrr9kQZe=LT~Tz;abCd)Jp1R^#RL%XkuPlp$? zS_EILKg+HXQS1BUvi5&wkrswB>2m!0bUH0s=FcA-wUy)v(c@95v<&{4=k)jc_Va?C z?g6^B8OH;^(J>aVEGiwGYmQBkS)DrEp1IoC-S4(i*BU$3oj*4WZs>1?OZ*(S8A;s- z5u8V}*z{=fQDXgvz#o6BJ?8~Wzd_qJI$EGAgozem&*jcM!f(Mh;aHn!;-Cqol=76P zyc*F~!k!wLGHWZ?&x+FSOV$(dc3()DF@-=@$Y%WXX_saJAQd(ZCZQuCFWcIf^E?DC z!%lEZhz(Le_Q|UTRIh6BXE2&cy;X_Q0UnGB2v3&H%gKp|jBIRZI35jCftNZnSQ9D9 z$p9$|!JZ2eo_p{=bYW%PMeZ`@Rq_2i>$0}Cz5@{hif}VZZER%@J!0=EQPJIzSRCj$ z((T;&;MW}&mlc2{fC_>HCLlrD%ZiJ`-s&355{6e3*1sLa>ckAiO|(TiAQH!t%VBOslS!a8-kc$5I@GR=-GT0vRfv9!Ck`c`sjL*b4OF2#cD@RMtn+ z!)CVr3u6!dyON$~HiE7yc(#`B@%7ftm89Ve+E0`W-t<#^ z`Cs-QIV&Yo@t9+tC+9z8pD|1c9Y41rT;lXn%g}wjjDj;*skCL+l(yxb?eiIt>a_bg z>-W&P7?lVP2poEsy*YEXQp&+FlfdQsL_WJPz^eL8T#gq157*G4-4eHxVWI+((dtp*lyz5d{qx%u*XK~Bz(85tiJ z+KuLFH;LF!=0a{`O@rkQM^Bt^u(JapU}IoEX+-@Z?_GobG2w2m%V}3O=l9vKL}^53 z=wE;N1yOFn`j-VG3>I0v8oa4Ke>i_?uH%7@$7RBLRFm5{rC?i6nSuhT|*qtDmNE1QXOnm*Q0<>@fGpvx92wysV;9xds;^@HK)x%Cg*^}l#J(l~TRZO>zl(-96;d2=oPPw~>7 zPnf@fR^4xCeL@0Lc;{%4u(t_gGSI7TWBnE@dF#FNQPnFibteml9$HzBhh8ssZLkX% zzL=$7yzJa*bSYHPNH;xCO3442CdY1C7h;c{;#KXqk{67DSvOVV0(GwnE@w#_5Qxed z&YhIwd6MOnx4Adpv0*63)z<>nN0qHL@jW%rrRy@ZuLbmeL z#=jlvl=xdAD1&KWwaZg`C?@808k^YiR?+#< zMcwTZGsV>P$JM9*xK^p9OjfOVGOsvD)+Rgscj)T@*~|pd!OuGl$Csv7CD4sRO6 zt5<#8B^`6RnxdE0rPD6w{k50bCw0DR2N@oA;NSb%a>s!Aq8~;8IWxa*WEd9Y>Qe|Q zioKy{u}rf+;(l)R6#MDBFf?1({`>3u8%=M517e9uiM;2NG%DXne?HZh_uADeD_e|< zugUmnr`83dlpBu}ukuOqe4VyZSX4>Jo1eL_nYrE|?D5uA6s*EBVjyiMb7I0ZpK6-4 z^HcRXhlx4edhC2w&*IYl8FNQ%Ec8lh#M~V`eV5@_8R{jref$2-7;Ulcj_uni`$*6G zV~AS@}Vm)CW>^tNAaF6niZf+hW5 zBgHe=jx9kau<>tj+T*42o9lPuWp)YMjin4R-qyHq=tt1{cyQ^Tlefew$KsY}?g{Ju zRog0Yf7om8d34JB^v0&ARg1*>(xP-A>*fv9>FFb@cQn4>ny6N0pdKRyX*Tb~?bCOs z;;+Yn8U5Z@`2%hI2b?^%E=8(k?^EXXKD2OZnMmNt(o&XG&N~snecJ|O(4Xw;caJnj z$mKry{Y2i1aNgWK`1U%js7J4UZ5SWF-@DW<2L-N!?v^qUHqi+Qr9IZ@3jDfYThY>6V<(Hz2P&B;`|#_qc|}o1 zcB(f2y}SN(BOIpf)7vy@Cx5uNweF5yrqAns*=0~K`_mxfHsiqY=t`Zfl@5zf7Qxr} z2HgJcuPJos)0~+6De#A4I=h-?b?hW{bW3u_el#-3Sr-z_Xs^c+`7&~Kc$qp+5+jnA zehBxt9jEbGyHNFUeP6ZfX=7lvOdYLGRx0Kn`7x|%1A7LOJ6NZzHYDEc`xJBJvvB<^ zb(|r0S`M4c0|c2!qMAYaR%~^YRMq%}H#Aad`W#{BtsJvH*gR2BEMHg)DPPpDQsy7w z^nJvi*64kaHR2M7cZE>AvZ+q>pN+GgyL`#xEO&5C_dTm-`d}4uD33``A#ki1_7__% z&zds2=!XX7*8bGK>|kjyYMGC|BNd`|@!ao(YY+<*7B0+f{+z3sb3I)hrJth5Gr{4@ zaDLouVL-{|>Yw8g+orY8|5!55NWt5fPz$4_RV4bh=m#qv8|MgnTR-CNx_9`Oq|#Vl zpX*ARe78Y-e&^Jw(dvxx7)O2Xq!T4Z`*>_@R8<|v^F0_pcOrbzqIJnYGfYqE-0!=H zoAQ2dy7}#>Y|qkM#{2p`wA*N+zp#cZ7G_E(6`ki9R%U9-V*32!_estv_0GTa@h@L% z=3L4YWRG7zH_6B!-o+ke!5`t;^ShUI7x7(cxNb~{m8oU$D}6yXgS@{|aVl3fL^Ddv znRXWwb+2orWa+=YG&Muy$dM81)Xx4=d)=`qjfV4TaH>vn=GpUM$x7$(p4KNlH%Z}f zb(0IFYf6d{ouRD7=WRx5m?DhIsGdDiiq|W0AN&uC?(gmDN;Sc)b$#wvZaP#a45(^L zPqQ31Uu6HCK5^?zl15_JR|~3Q$NAFYv!9bYSQJFxH%B$?3Q$lsN*~qA&hlL>9bvm6 zd`GIVOn-j*sB-=BjPH_kH+Hxmo#(?aEd#X=4juV^4FRnzT_e6lr6g-M_jBey`|n=i z52NpN-4jYf5M^Vi{4jRgablWYo@G?oO8ax^`i`$wf6mwi6L78Y7GF~g&I;N5;z|F^ zQQzlX{O~^Q4H1^n;L$^yBZol9!1~FvU6(H9>CxS{QnV;qUoHEP~|JCB^ zbH!yg=fy{1YLlVyJ+XJPVpyw)1{JMk-N=#j)8r&FSM~CSHxopy5UH&rti|iBw1?;# zEU$m~#LUHa$=Yn+9E(L=m40W>Dc(7w(pnmDuI1)JcKvhXEkEOF^Bk++m-M9_E#$es^Sk zfBZP{UGjffE`cBN?zx=I3dy`t>^ah6^*OWXrm0wr$FNf_U?qlOx0WAou^c$CL8&gx z@`%_|l4ab{uX5dBo5{P>%>OJLsh<)<9^DL4OwZTS31V)%+|e_Xq~9@ozfeBjkL20Xzpj6?g%Ekqq|qNx#n?3xST?rIlJ6Z zGQHOR%4btE(bH7qw#Wa31;6Y4TL}1^)))9KtW@m~XM1ritsoiM!13|LbhU>ss7q7zt%$ab zQ--s=B?Ygu`0|NERPBP4L+NR;c3+j4UJL#CFFl8nF8s!+jyGE`#cp1XB#~vC7>ag7 z@@xFW)=ta5q;@95FGb_Tu~89cbA_Mm9)$n*RU=*>l?O9-@=%3u}c} zUze~QvlQr4x)*8$%wuvxj2jTvU|F2O!gUH%`FrQk-|A(+kGXq8bxu@`YKxDi z^lz>CFt+IEZ9ET>2;TKYV_)%}?Jq_e8;%}Lev)YUz{Odk)PPpY@cNf^NrkTcYNiaH zclJ<_z0N7$bE@)~Bg-kZqKFRxT!YfO<{t!wgx+jzu0fWQu*#In{x{XQIoW6Febcyz z#gi*N9$V+?3RDNb46BNDo-MlZRGa9eZK%cYH_YSfwe*9xF4mv6y-G(WmtjLLaJo6c zv?Tib_hepHzSv~m*y-MujAPBnM2CB#+frddgG61}!tE-(5I z`*R+DD?G6nV96EYwdeX#1WP}-hcH{u#gs!E!`o$-f%YHeuK}w_i`9Qjs|`;zjV-bW*;6tbVa{j zgm3t|m(XyE<)Cl$x0YVm?WaS+^+zUF#)A(D#HkUF<+?*2zus;qg{S88iOea`a4y74 zIG%$)@%L1(j|*4-$+>OvpYbeSQ0ytGpvC)_137`c)NE=@8O*h zsywn+$LM1z{yj~V>yry@va%;m_^5j2@8R@qSAa)h@PQKbeS<09_#7srPflY(dS|}> zUV-@UuSqhibLggm6z?{7He0T0)50-I1Ih*bg)!l|XU_{t1dK|C93FbXQ@pV$>}7R{ z^{eaZwQFJ97*CqlAG95~IzcV?=Mlf{=uM-nwC_)1ZhcHoroGUX>Tx7}^xAPe)*ovR zQnl0ub>7gDk=dAfq?L?uIc-05U!Iqn%su9$sSBgs?3vmV7lkt!R4A*Qy1P_ko@#XS zq~1_`?w-kg+@?=_N-MQ&<8{n8qhrRNLd^K2=GA;ZeB;YEuHT+HT1Ov8lpdf9%-yTA zK9w-wTSF;&laKqjDkYiqP+$7_-A8j{`CJTG48N{l_)(CsF9=H_$^CJhaeGxEJ#ojp z*!6T~?a+M6L96v={FxEq*XciL@(0gpk-n4d57^G_bnUiRp1AB`wof&&_w}(m{W`az z>Mc5z^O*hU3*L_wnfn^N|4ccs_tNvOxT~*}ODXP46#ts%XU~lgiaD0^wqyqdYsNlT zW^#>}xqdu}+D&D9(~@k+?wbcDPiV^TI=X}WbPEMNnVh4dzC|BbsH4&|MYU=(4aXZg ze9htyb@bnVqHxY)1}mYn`cN^1ne4EH6pvP9X~%w+rq1oOk{~ zspIASmkpdxzvgVxE)b~W&MuXRXxMW^7$KmzD~78f|dcvi8t6T_1v^j zwZ5>Rb}2R{wb`mPlakUj)@(<eFw} zr6S46{0~rV=j9U1b*-J8zVR=tg3gUhjTZm#>@Rb+ym@PL^iS()-F@ou zMm@9maWF31%xSI}OvkQacxqTO%KowxWt1 z9L`OC6w0$1d|hd4KQiBF*jln+dY$dZDl}W8e>TaTgxU^CyNu}MbJg1q__bCfebBm<6K7Qhyy5P|F0qB)y|NOjSa7L!IsNhuP{T%;FQP1V&Xb0Un zYeOR`N6YEeGS=Lyk}iv18Vokl4bM2184Uyrm`zTU=1za?EOao7yuCyJ*N57XatEu! zx{~+47dLNgm&gk_Q{u8wJm%At*ky1zCic{uqP1%Y$7Tx^X%5Kw5;R`?Ak+!yolv$6 zkS{qf-8jujhGD~r&G@i0GW*XXbNqQ?Fh(I-&bYbEbw zukz{q*PUOIeR^XmZ&6`)Y8g2BE*kFI3VeDuCq$XW7)` z^BbDxvP)~h=QboSP|{sLUn67S+g{jI)Oya1;()vN!8@AbbL0cAHFr|pF0$4!a z7_=Ka-)`UbTl(v(iu&0s{oQ0_t;LZ<{()Zy(w|@HD*6zhL=-%(dbUJxd-|bynV&Lz zJFUgSVqX78S3{JG$Ru+liYS9SYfnTJk_Y$;u$=Lh*66_EoeZ(q4H9DNk$ z?&)w1=k$T${slXx!log`Fm6A4?{GtHuIOe!iFhzJN!>nik%<@YBuh2&)uon6Km`7`HQ z^$dsCL@MWPQ$rf-vNAe{u~Ry5g?dE=A+#F)FoHC(jj zmfq7#ZRbwDx4u$mH+jGC>Du_-IVyAJ3i5?OE=Kld_C~h%D@&q^eRt%nyW*evY}U%} z*R;eRmHY76NuYXM>cP0VaDF85KylpTFzdjQX&zOl2;Hb$Ys*_as_vd1kH0H_xv8UD zTKh59zFXB=YUx;jO_b#CZGE{8dcSU^N-H+)b$p&;-`8)*_syiK_|UkwOXC#!CJnIV@rZr!bS zwX1U7Sbw~K-^|Qv`-MEcb0KkzYMxp*8?y9_ehgks&+}hOircqldX9T5r)y@UT7*dB zKL1cOz(vb6mzGSQc5vd-v1>Y)wV%lA*Oz?qOtkvU>-8w=;9H%#ZlJj~`}l-Y`8{GI z<~)7AItL;N;~u)f)aSKbh1x1wYHzabB;oI=Xt@IhCtIhq4t0L*U$Sm4RBTmhI)0-g zV_b{$KLexcI=CBKm1_FRK{GqXGzbB@3Qtz-NBCY!A1lX zN9~5y6KJ2k~vam$$7Tds>zH@ zY3Vh4PrZYSiAfpf&Aif*JM2nJX9g;lde{Amn=ZE&<8D{qQ9}2_2JWX7p3{x<>$C42 z1P-$W3q7y0H_I9-AR&Cl`+WMVTDv#pZ*ZSJ{6XZn7BJLmHUd>)U_`~7%)9?#e7@xBx=z^N(> ze`U2FU&=6l#jKR*&+L%INOgQGE>2JlqNX8ao7WV+ZU(y5=p`NfvP0faDMKuuGI}}X zQku`Q2~VzYlEQFoYYwD9BQO4&KXoiiJ6XyhT#b?&@suDSzy+0y9HOUPBLf3-(OI2Z z%dk%D)RjlATt-D!1=#Xz4DOAoNTuiq=-jU#MFAYexc8mR@(Ty;n`3*Ym1F{%hQ+ft>GK9e6O)Vuq=m zPLn4jG=WO9TOY6U#UH9DNE;(NrgqP zV=I4D{G>x!g4(>dl|@40;!t3+ZFnSpeDKX}pYZ4aOxO%a(|@;GC4 zyKv(&zQGpDa7TxGs^!PcO=+n}f(Qe13R7a^E# zAMa{tXk8OGG&eW1&lD1>MRHv9?70aR3&~tX7G%$xOv6>}39V9B%yknSA%+mtt2)li zD)MhIDrwShbbM7<;nw?Uh{c=5espLzap-FB|7j}yM}q(x>UefQ4z4$J34 zDO@|hecvO`(P*ga?Bi%_Q`SWiJ`6fp1*!_i1qdCQ{hB3)9dp**B{X&6>eEc>iBjt8 zwPVjyK$%wZ?)eJ8&46}cjs5UNzMP96T#P8!`(XRhLxd>?AtL`SVt^9W4&FEf)c~zq{U|vtz%t)sUZe- z^tikjq}*l|cHWd}FNwK~ZjlGtoT)*=xZ!N~it_SOme`Yw_8j{7#w6d|DWitw+NABm zaWwP&K9TL(mlVjZVLI>~)Lh&{!E+%sQ?@8i1EXZN`U8?Fc}yTVe02u%Nmb!z414k9 zBMlD8g#au@4t*8CJ<9bCl z(+h@!^g@@N!u}vC1(@emW^de~@1mEP>dHW4Ib1|JP?KjZ@tF3w&8Gnp(!B(o7cLb7 zrbbsG_U>;N1rP^8+s#H$6A8mezZ1(fi`wgctmX;G7-g%e|crd zF`ItkIdH=&>6u$y`n>Mk%WzOdAPs%jFGMFO^ zEKFv5Mv6ag`k-zMmz8iCox;#l(OtRS5#MN-GFUDd!+l>!=}${^AdVImUB#JhY{)9_ z%1BCC=aM%cX(!`joVUPnrIv4Yg8e`W#CCZL9~>_EMl7wFF!QsbeG>qTZe2*ax}Gviufw8mPbEc0Gzy9207Nep zF;&Zx(1YuKxT$oER3+82%S!vLbl5?e|K)&bX6-t7az7F0Km4(qvp@Fsg$paeN(4Rt O;c>Kcwym=9OZf+;Xx+E~ literal 0 HcmV?d00001 diff --git a/docs/source/tutorials/images/EventSynchronisation.png b/docs/source/tutorials/images/EventSynchronisation.png new file mode 100644 index 0000000000000000000000000000000000000000..76a34340c7a872afcfe12ba9b2aa90164d711287 GIT binary patch literal 27951 zcmaI;1yogE)HaSDN;;I3mTsiGMH-|Vl z7)Mbl6$Au?#dU=>@GFLsxQ3Imt%;NC7YAdAvYE4!ld*%L|2QH9LJE=kAfn>7aM0?h zgE=?*+}>rKFjQo=7kJ96V%(B2t!1DsRYs{ssV1Yv%u}c~%A=Qg{Hs=>_93%mI_IG+ z*di-OaIAAddAv@ftWzdHD?l}%UaD30r}HO^qU2vWx&AO@FhO3=2wI9KWWKU|KpcW`mbLOUShxe z<$r(qzt8xe)Bo=?!09dMf?`6;3>@o-c`fspNe*Ua%(d7nf_YM()}DC4un7LA^e^w( zZDf)%q&#jSF3&UzvVE$Krlvgj_pkrkGX?bB^AP|JacVD+1c&PN`*jEs5_@hG9rXY~)2re_@aLri@ni?-}@7K+V zxzlu$0ajaIRYk$W_YlNzmv)%tEPF^}bfg|cFunTw5&1LGPhF*6)=!?$qQBXO3~Or` zhRhz|@5wl$TBdMMF|^%3Ct|Gj_)g@Ao5A&PVayNv;*aQir)Z1P4G~Iw^Xm+t+4%SD zrNnP?l#NM%WTraiC*%U%Sw+`<6KUTqn4*$|wGh^w^(6ty-+UhJt|BOGiRfF{yHlp6 z&^NbB3ast(F)5Dz|3ndlPO)`^Cf6A)>Cu0_*_c|pBkbv4OKN$qtLNhO>rTGLJpC~x zFX{_BVk8?Z&CVEc)3*gHshs1Uq1iykGDUpV8ohoDv*#v5#DZdr_}QkF>8o$Dk9b#QkENSwbXe=j5$SaK#7`QLbw1zPelOuB(adSZ;r)CwiG(PONh*l_-u`ER znuJhJ!=TRW5{kCi@iGGMJ04nj&1hNLhf9WKM!I1&~jG6{&&Q5LhmDLenOiMrC zZ%cB9p(JVpe>E#jgzETN<2)N#O-{SfV_~z=sWf16ddBu0v+r^soJ(MiZwIE$MeNCpj?UTm%)Www~$f!@A?1geIE!_`P!Rq zx_ysVV{;kLqxP9S@}es;gaxmQ+cC4(K{Y?Rn26HFju87i#8Dx!#4Up=%mN!zRZ7l) zU&E1c+iRR^dZ7?XduDEt^sRM^8n#Hyr$mgu=mE!IcKtuUQD?5We?4~QJspXY5wn-4 zdObpz#GN+W64@Po=|oi%u5KwXq(-bk3A+i_TppHBqOU0Ry{+HyFYyTcVBFSeHMe_= z2>sW8uNxIss92^_9e9EQwrHIvGuFl5F*B0umrx&M#O8J56-Sl1O}!!CA;wE0vV!7K zS89?eYT&6hNMux`e8HC(i9pkEGiNN@K`3w0cvxB`C}xTM5dL_|j}??(!(^l*#j1tE z%J3fjRlKd4f2UXZOJ^2Z?9#0>isEAr3q{1*( zhj;e=MkBd#E}L}B(5!$U-?fWU;2Bt-!(rVJyh|HgqF~Ukp^M_UJ4fcOjmF5bX|MA0$J>RRc9rheGX}D@L84CVu&@skdjd(S1SNXmT!}&siq~q*HCR4(h&HQ1;^AxE=o6uhvBr%}P56+7 z8uLvjUP}v$g*xkfrjp{~M)&iA#YQ+-*c$VxzS0V;b1rvOE}JE8r++ccj87L+3YgUL zC?Fc6pyZj~l~%NQtOw$v5%VKJU|yk^eergd5HFPPELOgJ9_`kbo5w5utL;4~K=6)IWU+&LQQ&7}c&W$pb-d`Q^ z*>8NXv$I=m^OlIj4?LxxBvesT(`)s>hWG~rz=?2sUL6!E<|6omXq`jjbG_^eR_|!K zSXok1G8m0Wt14%A_vEM<10N~N2PrldV)smQ>bfenS-ZR3U-f-%ZEyEAGWrW_PEkL0yL-!l77HnP$ob~viz3$M#)iMYKV)q%k)F@> z$m{WPPQc(puT3zn{LIF~a+ z{&U{sQ0o5y)ZAY$B0!foqK}umwch){%o0o;O*azuP_3?qkpv3m0(h0~Nq@;w5w|ZWWkB^tCR~-HMwYin7f3#3b z4@pQ)wq0py)Nl8B{rdIMTZI+m?c@`DI(m9$od&z7hugTgH<2Hem6gvQuUBFGM1KG* z>Ica5Jf$GiC^Ml3uFn7m2j}kYZc;tpN}8iwD36GUh!ehbFkcNJl~U5woL}z_R>r|b=GCsE`Cvk-bYo{nMeYzrBq(0f8!w`A!XY2YO1P@X+Ot?o5e7C>fa%36c=W) zrpRt>ZP{EW#>8~kFBJ!!O#(VA7dEtogosE>N5|{);0A0?^hZckR8&O7(l0{^XXn~` zRo=Ew5*R)7|0eUpKjzN2d3&0h(?V*j7hQ(Gv*hRJA7#(tb~&~5uZZ?X5dpu@VNy3U z`!^6zZOxgcRR*vdr5h~7(Ms!mezG1gXWL-yE^t4cF% z%fTP&OgDehkUxL^Oin8KlX`U|u0MRK=-G7w*Yfp!227=ZcNy9J=2g|%9!oGEr%4@g0C>}SI4XR_J2d@nU2Q&pz#;=n~AwAt?yk5r{=p7<0;(E<-pI)gJX;GN@ro#>x#>}W9h{j_t2kiMrb z)ztC13Ge`7R-@lhFz|!*R$mVe#vOP1BHo^FMhm?}rnc8N>tMij5EYK(FwIk+Zg;ZQ z_hvdFPaGT*Pfr}nP1egzwKB;}knu)G)6{~A|GZ08RkhxB^%caQ^zLF8^QYSL{?%c- z_mw6BLclW&ueABf58WRp|ZuPd`50+}~gS zo9Ooa`}=1}30K=K6-u^T8YjTrSWrE}vTCf?k*U5_aUJzntUp1K%O zbe|&yZU7(V^}0Ff4aWuE9w|EVf_$bFT)18Wy^$eI9 zAddcSPAa$<7cDme#8fq?4AwF7eE-2_58?#;O`1*Z`1Q?v1F$)VztH&j4+DLtdJmlXeEqr~=+r#=* zy+(&#QzlFh_3*bsUXz2t)OBR4*sxQKTxF$MUaNnyH$flfr5Eu zCFoedOA3K>iHcGwWVTq&l}{BaS=^{lCWxIn=LEI2}x*`8>&9_e0yFcdI zkEC)WGwCYPV0p_(>n*f;?w3|1eFH;iYHFIBo7>nNiCh;Tfa_PU%X_~eB;Gvwx|`FQC(ZDF;6 zp&jN&gO++N5JrKMx75HCcV<*PPJBnjLWm_9>mClu8V_~K9yR-81 zw}2S@?%g{xdRP(uB)^vz#I^0>omi05oEc~9l@_H4L>TbY8m+^_#rns`M;2eqNiV0P zrQ1lZ6}x90J-xPD{b!Fx<-+o0COA0Q2m&sf#X9TQ*jTY3l+K4Yz+zd)1g;6?rf`{b zKoo}fb@uiW0e<=3ej_iN6gnFi37hGt6K{qf2Hod}J-G%Qrt7wzA3uIn^!I6fjAlAo zdiyfxeNjZ(N-r;eHDD<5r`OlM8==$`QoL&`-+Q+9eAfN@ES5_?0e*6SdmH%eTMWhS z@p1HB7<*~k(Ng0%fK|x&_SK>Kh)L;3<)z|yz#`Aj30MqZrQ*y$M$4ZL9voNSOEGB+ zAjgUeFE*rgG$Z_W3%7dyKt=?5uT*`RQAjB0i-V&hAV9m&X8KyZ9snU=?SU~ioU6f< zeIpIo!NkMkcKG{yZ*Nb4|M=n@#xHZZ3GgXEVCPMhD0137PyzV2*>8RXKmjH-H6z1& zvkw&)qN#QT@)dyPh4LA36uZFJ>ur`rwO=5(0kh2oPv9;s6w~(p9!3~^ky<{z!Er}k zD$eVjY`^CLqfV34?xJnGbE6InJQ_P5ie{D%FC}}8n3UA#&ueM6ZH+#Ucfdzp!?Jwt z@Ow@EF}o37;P7V1 z3nkN+WDED&^Fc!o4i2Wvn>sr?i;D-MqxAl0^LPumx>I=3Oaaf25j1G%t~&(C zh=`pJa=>r|0T!~eUo15`2BVX>@Ma+SwFL%>At5<9IC#;Dlf8ru8XAB+l1aw6eo9#S zfIG?bM;#sRy>}4D=m{S;V+Rkm;CxYZUr8K}i9$h9NP&B-wO-^TBim@) z$z0^IP%&?ILGp`VXNMH5$C@F-r(TOHoMv?ViBQ90KN*nR=nBonJLhm zD;5lktq;jE$xbGY zCPsOleY&4NlZs&c=UQ1{_?w#>0P8zh-0Mky1hFm$ixdestxi&~LW?R^uv%uPr!V&B zUcwSMT9jZ6CwxTPsEvj2jEvfLS?AaOi9bI?p8CnwK(%VMy9b9y8f3VahVRc8G*9W}LW8CzyxRRVxS z4Gj%}V_sW>*vUir5VxbX&X922_QT0u0cdqV3^g@(VQ$mj`&_af)in~=+qT=Sbp(ZC zQmd=LLIDy5(z_oowBEmCbc~sSA!3so;)VoP6 z?M*vemkoAbdRAKZ@jk{;TpL)+t^<^+Z>R$E1#0b2!Cj)ROrcO%9Kh}XIl3LDcr&eT zYY_$fj+^@iV5WARRdIRwD?j3$v3(6r)2RZGf7JKn`~Y`>6uiB&1IU?lmZ#0?$vOuT z9Aunbz@R4t%*JZNM?#V-{1=h~@)yX-`8l8OQwtB@y(+}l?__*j3X>Y-s4g2lp&;@+ zJw5%;!u}8oeyLpn^Z=w8(5kJtIC53h)%J%o$-pl3Y>*AdQ!A7g7w=9NV*+aIxJ)M` z^wNI-#i0YhGoD|Q*R|YPI158w60xhxIsMgNhQU+2CUtD*}Lh^TJP8In#_auQIX`j%!>4D{-0imYQ8FhPI#s z4Njtk&>nWFH`&G-t|!fb0fF1mLKMLm1GOY0FcT8d#E+*tS%+X z5kYRuWZlJ3N@eI6H;7sNm$!;aPFJEZRf!|A+A^SLM{~<8Lwa8Fvf1nQtTO;!mq~pL zAdJ&)mF4qOEK;D5A1k{GE=g8K1`!Spu#GuTIw;KY!6(rLt`)!8AN_nb#0-E3q)9KK zdqZ00y579n_vT~=>fyf(0c7Xa^HqTbyMTPKi+NYI{nlypx}7$k!twcj5PC-!rsQ;X zx208|P>CEYKWg{}m%4PBH=fJ2oD?bsR*G$cOwPj$$s^9-JB{?bMlEL9t_kTgHVjvK+$12sKi<;mSCu5zny{%AL!`)J)`h_L|shK~uPRyRFG+4}Z ziPoj1?F4LqnxjJ&YAtc`@x#v3fQxwn-Xkg|#)vZ%h>WYll$8Ki}vG7?ylt zbqYNum-M0#U5RWQN<0f$5JX@dW^^j23+Fc@+>IAYb9UBaxAJ!4WYW`NX3o}R=z<&MJo@HPcJOoS9WAsHN%mVmhxlJ znmg4pEO`Z?SZU~DkeK-P`!r9`JS+^W%v@$t?lz`@PHI4#F-?Ql*!zunN;}1}RbgD2 z<>e8SKm2p$59OucgUY{^2454SK^V0B?BsS?qFQew&_~FVWDFGDNI zkiZ-|@RA-I(`L|8b`5U-ne__>I`7QgJP zLHy?Q;e$>y_UV{{#spy?c!Gp_9=orf|A88o(8Ec9XWmE#O24KmwuUY$L>QyIqXV$< z`YJlCFzPI?s(GChH}RzeLtvChh^V?(1Jw4pH7j`)5J(itGVIeKn7_t~er_p43S0{2 zv>Ym^Z$A+YIcax>wUh8gndIiySohT6Q?zHEH7|xI zg3$wS7yg6K>d9l7_wxNEN#t}|?H#Phk}Ji;goSHEkxE=ukxK6h&mIM`I2pw6v-Hrr z%XmvMO*%E1zbSvz;2TBtvh%({lbZzWQzSSZzOpUOsrbx?(a90;4{D8#Zp1R*Tv=?1sXiAjL+ zauGtOxPyQIc?+RPORR`{+uWr>Yt#f&7MJ)xrJ%c?0pwD|%%bW`FtgF6Cy8me_B$7bfIme8zD?f;_%a9S@vz8-hVn#kQ4$CsqvdA#1X861G}`>0d2`K8ffKlIv2vm7ah z<8* zNykFH9%9}Zgzx5hBnWDxt*Su>o>*ZPH^s(YPP>VH-PzmF8|3>Osvk@5{7A#Dy(ngR znsUtxYOKC~Vokm2$=gbsqYA-k9`1QBk|WlzQ%|Aj^^ITR!=tap80}t$8I=Ynj|!re z()O@B87F{jj4|;B(mWGlQK&xZV;+>Q)bL{N{Y51)*Bli`uzel$>I4}IP+^H|`m z8@HEdAa6n=lQ+sYJ=z$<#tqL_LEY<*n4JjJ_h}0kaxIVH+xT}EB!Yd`F+iEg2rbIn zk9*RxJcxO>yHE}*Vy*{TG)&z+S(r$-1U)%B#6E@q`*#@3g zVi-ZOEP3Pd*&ki^b=N~_0yCKn?wLq(r$q>T#mHOJKRd8@ zd!_Yp)f4Q`0qFjVb>5n#k8bly?7)2V_6Bi=vq-S;rgKfvH}9O=D1L!zo)oaDp{Xf8 z`Ybn>@2Pw)KRvIHfC=O^8JfNo!8mp__P)OaA#*=*NFAgWtb+H$raEu8OD+WqWYZH& ze;HNi`yM?sf*z%@t;Q-N*+%brcObH;a+a3EiRd9e+k^>gc`6^@&{wXWYYcaZ!yea^ zdLshml@!}flnr!o95;!wPzt8G?~QgY_`!Uv&wM6N)*ev<39UYl`Qf-A@+P-_d8}q( zVMZev&H4+vP)YARyYCKA_X7eJSK7RrZC8CLq?jJw-ww~~r?yS?mwo5;Mn#8^R-3@* z8v4~E{}XRXR4zn*-pR^3{FCC^-juqHue9Vo`b`ICgMC_DPuSZVFKSpbe)5nN0}Yu+HK7T@doq|z;`nio$F3ko8< zkILfDqhB1^tLYov7v#LZSa18hbUt>!k`FRv%4DC%OZ`$I-}_~rBUGAH_|R&k2&#p$ zLRhGu1Ec>8e6*`0ZeF!SlIPAi9a>X;9;x!2dBvH(?OH zp-Qnkr68DcN>U9Pl#2SVqt|lLah(qrE@w_R(~3PuO_=0l+^Ls8LasHnv^eRZ{Fa9$ zcBgaZ&BVAi$XPpg3i26K1cW3gC><9jQNm#$utQAay|iWXCbHsc`dL%o>)4I2l#nsd zHYaO_y`UgBx(wJAUv+Y^<*saRZ=RpX-@iW@DOUDA+k-xN;Y;OM%w#i-v{HD9Ns zUV^z(+(>D{#zF1enZcOGTa4HBrH*X@mhjybDgu>YXeh_&e2$Aq)ep{dJgI9%Eo&3n zkJ02k=%OVkQgrXwR$ zclRw6Jnbs5SX?etv|G$#BB$K39BALG_it)bW<`BD-)XD-&^Q~{lg&uX5yYV|V`MRs zhWZD}odM~_Kh(oJOVGP*U;xp=ts1-HRex}6D4E2>Mf*d(YnI^KQXxwl>aJgCT11f> zdz;)=giG$XVf?A`8t(bhfg5)kI&EIJWn8OPb8X(U>iTyj4WKN9S*VbadeKJ!(jon~ zkt0I5*?wEUo8&)iM6gM;owQ*eN1(rRaQPalxXh-0!D4Jq7a-=%P9;`j36mqmsA7li7I7mFP_J`5U zzyut4x!l2+SAJlcqm%Tvt99nb>pygPw5)JOL0`3cx*BNn_I~nE)ECG&T&$COJkOG7 zd#JKszI)I5Gti<_Rz44jVVj?AwLjZgreydRbgp|1moseHM1Qe)y4isu|M&LLX^Or8 zjyZ!-cx&j*HeIx+Tm!roXH?<+6{S#j6B(vL+3^`cRQ~-CB_XZo55-|~<~c=bUseL( z(H_jt5p3yuVux$>;r&)FP8mWcMY*1jzHR!}eG$vg zQ^tga-qKoU!Px&4KDphfqLe>%bgwZxN8?$l?dU!eoiVukW^wE%vKT(`Jx*;8hXtI{ zD+%>gv^`bi<)u8cl;-!=>is7I8V|kUX6?se`4j0uNHI#qGVzDJF}O^-?x8>8ZABDG zR-1wQ{%iFJeSu``-68e7LTcZd-(qZOzgy%C3YLk8lK%W;cbo|LQZe{mA=)rpFXBZs z^k${A-_I2JU-NNk??c1||MfJbW{soLgjbT8adgmWX@!tZ!#K>Vbs!7_-MzV;tO`km zXSeyPxeG+%{SRUPs~&=e5iTjrFFEbI)nicW7@FWE8#4->u(Yq-P{eT4E6$`$mBX#Q z!xMeWN6&FJ%2rL+%R;F+S2BEaI9o=-q{F=y-6ac-k zd5~zo@(J{dBbNvaV;cS~qRSHEO@VNm9!YP1h5w)=WW0PL&Tqi@Hg8wGKk7}EX_c4h zytk;`8+p_B%k)dZqM4v=H1e=`vCC#Ud^`4Rl@SSbPVRwYI+~u6O~6IvW3@1uZ-xqc z`c6yzflddbFOrDwZ;Gj!?WWfv(_?2XPj}lV4&C#>Bv}ILT|UBVb)vTn#4t@ z{$PQ?NP;#^Zr`U&?^{r)5w|2A=?FybTF>n-3JEa{Mia3ljqJ@_ZhlU>Nw!`+{5RL` zOV0%th3<(2WD_X{@3R}oM*2p=!t{Mxr%(QVfxXo&w;IAZq|g1N^K$jzc%ckJ0T+}7 zD0i#>6YE{6C0ao0_FYcKWNfUTaWclF&~FD=XSj>7_azq7kISRL0`M(7+<|kTmdfCB{isYDjaq4$ca62TO@TZF@t~Cq0!^IQz{h#rd5n)?N+bVGnXi46-or- zC2(ftCm53=fTk^kQ0J?Xz~+yA5f7(h!F5&L#m`>PVeAF;$mrqe%!iU?}kSq40(A*Qaf(A zTNs*Lys8d^(Aj^-Hd?wJymqd7dAGYOpc8$xJb`9o_ek&W21C|takPXz8?Jiog;Sts zpl4geEb06+^?jB`qYwU(Xc#G8I~l^{dr|qOKXKwqPTIsjPSxN^t43%m8*}O#5TBK2exhauZkLvCO8g}a z$Mvbea;_rx>uV=tIjA;Yag5`y85L~%!^L}i{j9c`SqWq#H$Kh}o5!9md;f3tWOu~t z|M?+|vw%SCCKkN*2-6_g(;;<07~FXBUfy#GTP8`J94DpMUs%#VjT!p$<0`o9={ zE!a0J9{!ah9cZ44(F3FVc9i5Q6NkLg{U;=WPF{{{gmXlc3E5uDB3>#6A_>75zRk|a z**cpXhRaso5HMTES*w&Op>@WsJ^M*M*gC4Z?HH*>0B`?F8tW^@PZv6Sh7(+<0~{tQ z9*(20_jAR{{lFa%(a|NQ$VS5c{;qc*6X~~5k*nTnDQsXBvc2L=Ql&N5{AgG=@jWB9 zj$(?8f6voW!e-EEdA#!uC74<#WBI`+WjPmE}0REv4GwZn$^CJ8XhAofz4pj z%NWN}QaHE2lQieA1ICBJoT#Ux%1uTnZ!<;4zQXmJGxG-MX z85FK*5#rEQV==hP)9j;K@at06NvZFv@OO7Hc*SDtY(XeKT~g-$^b;|uUY$Ao{(9)? z-_75|Z`@9SraH*^a(eP1dkMh@lvLXVY2+q{h34i*tXlIbxnE&L5Zq1N4_LL5jQvTM zLait>li#A~2~06Na)zdeKtV7pya_c{W7*j*upp9X!9S%U3L(M_4v>86aV=te>XW{d zYB{I9JvfUkqFRnNA#)|Yy#=^E-+R5~eVw-_DZ8Aid;M5Mi7l)_HaQ#%nHz&GtUig2 z2|bNoOI60MJ=hQgt>o04?Uj_w&Y@^G7=BvTufggPEi`e`lu+3!<})f&Gdh(A(7Nf9 zsgH{?Nb{q-Iny`(W8~}e&|2L~))V~NJ!UzG5I^YI*ZGQ#!GdS7&J2u04IP7+o|3bH zQ_3Z8)K{?8A*64+`v;tkE_Uamv6kJF=>u35Rg|P5{z{gra)r*B>w_(d`hn@}hOgsq zW*_HO5mj@(u1_Uz=%lZr0xlcIS&fz3yjX$dmKmn_PU66TMPu zUV^bl5Qf8!yuMlB_nyDK)zgFb{SHb=CaH&m6hj^XZ*J0W&9gMQ9cEpW$>2!02}Yo$ zKtWl2pI6UPb_N0ou~G|4{A^}tC+@Vt?|pbc5z1CxDU2odrivmw4rMT?oQr7-b6|&o-|xM+hZtO4LW4DhH|&SOHwB>?{8U>979HxU~%U5MT~4+ zp2?}ji1+NTuNK5nXr2_(ABn#F+Ey-sg@&w=0R{5%vZDl4(W*lu5_O3`&^qs+)kV2_L(H@H;c&S zZ2IjSPcZwD@a=p4y8+R|rZx>a<@5y4Us}e;-_n;IN9x%XopsImdhYKdGxgxoayxr$ zJ(n*$Wx&Zzu&NxTPt@Z+Zub#fViVu5y=~h0H;l}~C#gR(y z`0H4}vA$05c(BFZOC#y{;rg?pW=6D>Xb=s@=FxQw7A>N|qwNZ!vwzZWwqHl>INW4) z>-B4}BD42rVo4vGY1vlaHTIWK@0&v~WX*ZpK?i~cNB+hyfzkfC_o9sRyCY{8B> zn`EUZ%WQPilP=shk{)nbDvpx;U`~^bs+p#2NOFKHWI?5!gDD4NI~>@v^=cS%)j-nN z`2LC{VT+DEkeO`t@mQq9$I)fva8Nj@ysFP?wv{v>V#1Qv$+*ne>$`#3@7J)e*S-?a zhUXxN47V1j(IvX3DRf)E4Z&+o`ff3p%x<68O*M5IEhMe57iaRlkSa|}Iww__j8{8C4dfZ$XD|4Tl_20!)feHc~A*BA}_-(I5l%*jP@0#Y!W@m^MWBgQ> zH-}Qk5~1?53c1G8+4&PALewl*rKQ8*Y2kI}H#dO{IiIK$scF#ulHtao(uGzsf9ffd z#U)Wt&wQj#x}%yk_eqzzbJyJRnq;AEds7oXPKHI63yE~dK^3Dcbk1V4W`Vnm^PMwa zyPm>RY;k%O3i<~&R+Y!A27w&v?VoVcTJFcCu?bRpQYp|L0?|MIC07^9BKhTP`4Aa4!b1u^J0zRUj$v8~OxOTfnM+{6KAOa&0>(D<6?mhD<#?irxAvU1$TYqU-Lt2S-=Ez?xkh4<cSvz~jD+%BL=PkA7${Cgqxw_OzH?!O#FFr~1-FqEU3%~^@s<+7 z*}-J*py#&QQLRF@D5Hz&ysr_N=d#~2o*>oF+gD-#Ymo5%g)FE~E}LwMjmgu|<}*k^ zr2Q7!3hzseeKKOR;(8i9^ryb7PL}Mi?WO48!~Z7JY=Zon{XI-k3um zEUUxn1L*N}o^&#l6mMroxEvfUDyF}1hArg5tI-P(21mkasTV@wRCgYt@7avg1PgGdtv*X`dEOTKl_$YgJ2J%VNGMd$#So(9_a6`CRSa ziC+`4%rk#Fx0h2$#zp1ePbCg0O*OHm7>cXrP&*Mk;xcOe4J>0NO`o7_fz-)P#X3e| z5}KO2K9E}CGNhHY#mlH}$kMZN651go!^LL9uP$XgDPU^<0SP6$zwrr_+h}3<~e#n zjV+e(|Hvvolom!1(2~IQxxHn2T51$M3d!9kc%_N}8ITQ8uF|*SR#ZButPXs)j(rRN zXOsWJOT^jt4k32riNbI{wu|h?jfIr3zAAH7DU}|j&BKz;Kbo5A?SN4!5~}C}B+{z? zucB{E(Be(3ueaW7A@#-c`lm$l>v(bjOzL7uNXppbXtl!B7xz3k~qp^0{f-a;o z3FKSbr+ylABB|hPeJeU9Z2gtX$4sEUf}yd{VFJp`(>WQr>*Knq`Rf5mc2Ai*)_gh< zAq`gF#>*a_e#FsHO&6kfm`cips8rg6iM^jFU7(<)3E}wlJBaMYl~+}Q;UDbPUy1sB z)S5*r|Cer8tAR!^{HZmyE3q?_d1|cKwEvo1YbkO4sp6V!>uuRYkXj1zCsw(%j`m0I zDkR}L{ByI~_ui9&-6pwTp#|mmmQSzlW=^r}Xvyb_>Y3*ZnnDXU@LV6(-f;rm(9fU4 zLZoYm#)aA09R+;Ln9|0>)nXF|{|3Df-dT28X*9ay&zzN`T#rG;+;{F8XDKcD(kyhLxY2_Q1P+w{-}(Z-@6=+FMtaTArL1d5M2Ah z4a9LewoO2>+9u|*mpSEHzz-?!@!6KM#FxR316nKS?U9_k%E0i@7%H!*s_J~XSG!M1 zX=d$Y+!jDhx%JT-PKnPnQ%&jI zmrXB;JZOIfLeOh0bf+>MIZ7Z7UFGq!m|8hJeBI0LJQ3IWxxH9R;EAS`$41_Rf z$hyDZf2p*$_n8!g`}};&EKCioTai*R3YtwofpE*~upCH7UzHisw7SB2D0LY=}^<+}vEoq}{icDTJ#_#Z$gcwQi91`ouKsr5U5%ggBG~ObocaFUk~U*F-X1Hqu+S#6dvMcIN9Ty_w@W-yJOSd zNG>&#+~d(0C=%V%Z4Qp5j+j$To$mxzrELL$oORF?s0X2)lat9o`Nn0jnoj}|?_?4q<$zk#JYQc$ zCbq)xcb@a1TFdHo&KwS6xB*u6tghQh>@QDLR`1%N*!%|c+MoUo#HZp0?HtyC1h$5s zDcSN)|H%TV4IB@_VRVTAH#{=aIz6m;euG&Dm}M+#?mi+Rw-8Xw(l#<8QHao|6dc>Y z;0e#u=TsK|93cE8=NX%~l~qtNG8m>g)BeV>@wK6ga4KcP~u zxu-X2G2p7+xnXO5-qPM0Mx8g=zW?X^tEMs>^OpeWGfo@@uFv=M(|J?CP8H&*_xmDr z<5OllsuX}CjL>?a=63SNx&7%8vrvAy-IfIZue`#a&hRta%#|+#ENMx@nOV#nx8{L- zg_In3Zb%<8sm&JP^=NcKHCy|_=rFX|&`LjrCQ~ zrGAArE|8!C9WChF2wL7n%#zlCQpv*Z&`Rag?mLBNXRVyA<_t3o2#@bm9>vshVeFW3 z;wi6nLeDnWA?DzJT^wHtJp^dsx@yscR2xbcTscQn+Sz6#u-6%4>p0GWQit*P^b@+W z@54aV1I+zY5))8F+WeSldG94PxWO-zslc?|`8XrM6*h8rHsoqD_H^(2(C=GV*dIMr zYvXz1PWU>*O?~E{n}7(!(si6guEYs#ma2HAJeLxUPoe+4+~wY>`HZqalQQsS&k(cu zGQxcMa?GE|I#9)#vIfW^KBgxzCryIu&H|9i;6MD~fdWouawb%e4=l0~T12@Ze2FUx zvXl{B&Nw2XpggQbM8G{?cBa>_wgFlFKIW=fYn@%?6)!JP75fFye=0F$-=ZLR>GKHQ zttf}2XMFCX)0V04>x;b(!2w%i9igqWe+808zMg0@<(G;x;_Inm@Km=Xr=j~;rdB!w zyvD6!78Kptftu@*oy4X^ZmXfV{<;; zcs{>wZ|A#ioprr*cslqYQ#6v4$J=C*Cd4Y!>YZ4=+l6T}fIPKj9E@8E<)_X2j?KfG zZaC}cd##U&^4`!)>0GL{*UkFABgK?Tt(2v%?I&nI@~N1Qd1ZM*X% zM9NG;x$@dU++LX$EhV{G*B8z=cgAcfY6dRzqh|?p#V!o#Dp&7r9%N~$ICz3OaQxXZ zOCJ0v|Bn{HwLc~h*+0^_nw8B|E{phMoW0iJ;&IF7x>!GGvUY>@w)?stkoU~Y5RsmI z;X~i#@UpX-Cy>iJ*QKK8WPp;Ho1_Y z3mDH=nKaCrj543vO;p)qWOzx`BsBHXry0j(bYJ+S=KpBS`=)g5QW9n3kK^ygt>PNC zSFYfu%dCUpAX`8fZyrBzp=PkL=(uwF=OG*jF?$Fwsl(LEz3v8l*-+Tja96duXh!$4 z*J6dKRq*Bcu`%5oJRz)$G z-z)%G)cI($qXTCuPGKJC?3>FZdzhHe=sfQkKV;2UKVNKT?TlnBdN^dCFesF$fWptL zRk&nPd@?mb!N??=+&&*%W_<1p3gmY>OW|v-@L0mzx5}pY0*_Y%{6lj=$D-vEcb+)Z zgK;WjAzv9B3a+X1|FpCPk}}G6?cV|a&&|nsVt02K{rI94B#&t^oA~+&|KvGe^{kh< zg5Na<_Inr8LQ?7xYSdsLIWymf9K>q`(O^Sk4%OVP$aH&Tz8Q_gqmqnSBz%`)h%2H= zg_I8V05xZNR(n>#{dBW<21A(e1eRZqmT}^ft7M{;+_P*7 zzk=!xTkwp|hmahxxYn1uLzjvx71YnT6gQb{akuFe_ZENp^F1JI^e9LS?-a85&(>L_PN*qCM zEb*AdW1xE#_Rnyf4odj{Pt{TprIeX)StC~?$GTMv{iuAO3h2udpEEEuKBv_L(R%|E; z+7Vg4P2LhZYqZL2}2L-x$a?^NE~f2`O)b)3@|6iQU+6Df$mCjSbG->iwuP9;ug zmnzn6X&R-sjEXmKl70H^B;W2%C5B*7AQ;G2&N2Q??032?CTdNUYAr@jz|BoOs5b)c zV5QSO8es6Qg+*`B|8L-I>nzw6JnOm(EArb#FG@`ra`a8Q#0+?@?Ro+}2knr9a=L0+ zv@-8OoJmk7G-O~sh9mS83lbuZmQAxtVsGTcyU>YUY%2E!0n!+Pn~Qk~{x<c^Wv0#p)=>M56nK}_ru#{5Z$D?*?Lh=NWZWq)`_YPE;{q!a|`r z{y#mPby$<{`}ap<0267DlJ1m7KtLL#yFqFok`g1N5mBUD8i`3aQ&PG?TDlzF`CNX! zzvF>_b{yMa_jO-qUg!I@UW!xcJ=M;E6ylvV*T>RO^ltWvDlonjv{C$<0UcsJsrkb$ zS2{6>_CFneD}4GV$tO2P#t}jiyGWAYYG~hcRWR`C3yfuLYfFS_Ol)uP5f?6dBDafc zQpDx9e}{cdw3eoRVoY`sQ1wQWa&xIErX(gS)H(`|F=B;#zub@wC(8Fw*Q2wSx34mc zr|^H=pcb^Dn6UJ*@zd@c7M~-lCV9@20xE;&a&p6stDUBmq%VNxA(OITccP^G>0PMx zMjp#q9AjivPyeh}aGPYKb&nIrC{q{TC022bn~Jqt@BQu83suPlnNK8i@@1xQRa1zwqPj~}e4Af} z{u|vLH6;!K+FhJR(|Pt|T!(L~#h~c_dWAWFBNDZRVT_N68hhRbt?1ZD5lPb_0z-Gj zA4lvr6DjrZ@85S=EI08E$B!*H#EN74SWNt#O$SC{nIA>xU8P#4>W%5b^u54u(C3xs zsx1X$!ZXwS<9x8jxZ4&EC*M!@kU~OW<{wYGKTXVQtI}rIsf+W$I?bsrgJKlr!6?uV zw9eO-c|?||kM&=qQD+966VMxJ>arNIz~u}X4|2QH*;o{e8pmIdYy*Kz*(ZjSleHu) z@z~`kZ>A8RNu&BfB71q=GSiHNlr51GbJyGNr0oyQ#bFXP%vN>nGc^l_7YO9G_kpE( zi(K65>+8l`hIb29Dr^Z01qk1>wnWbJQg3!`FNdY@o=hzopc|_Bl!@=svR0O0cIld= zL#{qh+Y7^E2?B#M3i>__j7>ZiN*Ro^W%eC%NkdMt#At;?2y-&TsME!$~6z!~1)! z(TP$NXy7#MT+*oaN7G)Lmb!FfH?!036~lZOZLf3U;@L&>8Fz-{gzeU7`8@r%aQv2c zdd7E`Neh31;~7a0xPdo$4Zepz?&d3PzNn&E#!OBTI5b_UX&>U=j z{^YwuPPl#TXt`I(hdlcdg%{9R>+AJ9n4lMYmr_59L0KI zeg_B2{mRPi^d|=bK;GWB22^TbI`w`iI>f;NGzyZghHv;GbDS_|4B*Ty# z#`&7%+TKh<|DoCW){V`>=Gd~K)>?_z^PcK3|G}9)gA$muk#uOFUAARWk_POB9$pk? z2lfLMNZOmUx%C^X@ot}dk{FD|AsT860sbRZzQqfZ^(+1bztuXiS|jHckvycsP6h_N zee&wj{%pqhz#X=P_BH%&Fhgw7cdrF`gL0XlpP%D4;hIY1Gy;X--?J;A60UWcuC(bR zshfTB>1oHU#ey*W`W(ndAyS27KprFa@?~K`!CN6`>evk+6j|C`0lrYT+?YH$ttNaZ ziulbrPqGS>8vhIP`%T@fvmHuah)}Jb^KT!2$H=RL%dY8+x`pOkF(<6Rc=DF1yG{4| z3pZEZNyK%#ni$?;#ViiU6|t$o3`B27u546^dqYkM*HX%hARVDJ~{Q zpJ>KlTboRb{9_W5XMly!j}Wq+ej;Yxc_03v$Yh76^(Q6bWkO=eI@jK{@@+yHwKSPA2^+M$KBRDS02i680k#3#aj%I-COHSOOZ!^ebp^Tlz@Oc0s2>p;=Iq_aY4`)dHeNTc=Lh6aldmg8}bIQIu6be$QxlQpkj_D z;iSjSK_Y1&KrD+MXTys;?AjVDG%_-}7n}?_cHZ9SQ)U5xJFy9d;^Wd5t?On9sD!gM zSb%+18^Rzi(@?WRM_=D7V2cU8zh9I5$$>=#=qKK6mmsL{!xb1(Mci!t{r%O{)HF1p zkmJ+S-RY{A93)6COVLmp=T(McAXnVqGipxEBo0ax2$d2oGks|Dg1O1^y)rzVhw%6$FA;3~lb|I%Y^)!mz~$r^_K zRl3%)!Epr$gtas^ftI>kRsJ3xUQA@<7C3G*r{P@J%Usio%K27Ol9rZ+CPfSFPZeYr z6}_w)l05PjC!+}&R#-XlL8#KHDJc9~Jy%y=A*3QL6v&6Iu88q2@gC!na2f0C>3JQl zDsru;Wr%tVri+-tFBl8-k4ruz#;B;$PF+}2;LPV|CH#yL1GI43fbEiYZk}% zt@ZTu=vxLOo%N7g@E@0|5mRJgOPcyGUc8@hnAka?{~Td6U0z-es2tq--ve`40ONy? zHc7T0;Ws+_??=q@uRdh|!VkDw!bt1MQiHkD(UIJj0F^;WO-)^t+jeUq3H$`W^=xi#{<)R(+BJ@g z*Vg{KQQN!rHbE)$)v_1-rWkch?x;6q^Y0!5NWq_@3rzH%06(Obo_vl7cyhk+JmnS+ zx}koTTZN!GI_Vc+PD|M^7(H!nd|L{fU_Fr_Y}otzP~GlHs2`5B0*2rdn;a z9?Qx~$znSF=9y~~v?r96{Sn95j%qf&S$v#1$z;nF)$P*Zf3g&=*Glp7qdCuRE=@o) z;l|y0tnbBMOiaw2H4#MkjrnE3otLrI3MmE#974u#+rQiy?FxTP!I7d;YuytEq|)OP z6CR#2dZdpC`Q&m({?0d@9j^J>AA7e9kDxtyGCamVXDK%Z9w&vHXbrCsdU}Aa^KDtQ z^6Bwux}%+4^%BNd-Q;4xTFH{970>Qdli);AvI&DuWHN2^SHN3O|`7r@$sH>|hs0bDss>B&PT`Cwba1)dm72^P*hb=*g z{&QYl-k)nGcRk=Kz^ys+@zV^TyV@-fFUR1@otA$)feMw1D#^ob;+L zGoUL=6O|(-2`j0ib@u|q6yOvdwu|4Muh4%M7Qe37*uaRdAr|GT!4jp zMkk$|X{rd7f@W*8J%0Q+Lyh_0=8%Dgs4#(zoIGHQVSWQ&8p*9{y|7hLRJ^BWjNTOb zNakr&_sY_JdO}Rs<&c6Z{=d_&&j>?eX>mU*5K&Q4{VI)hA)s*?b8vKoJ!6MFkkT0c z(9zKWgqDb@Xo+^aeFj2BZ*P6!+Jr|g_d;cgwYLwvfpKF%IM{_VhYSD;H*k0M_xFLHU0q%MF*z$M ze)#KYtV&em&r8CHLfqhAzkdDcrKbiLwA%BSBMqI_&Q9Z{oFW0Wc+rG|AO#)-ldaS8 zDnTe-X$?TEtgNis+uO0wgS1oSUX>SSm6PE58IPLOIvD^;)CY2Y9^~PaIt*1fq~Fxo z$U}rXKLJ=+VC)?H05-+m+Y?M2nhl?mK&5Pt`dG9c0gs^S9&K@Y`ky;x793Ap}j zW00k8taTLM{Zvh*bU9J{Lqr4!$Uj&P#E_OZOd)VQUvbA;#p&o{6Tn%od5g^1HLBP*+? zXWpF$D{gZ12wfw*KTmP#B_&NuCcwWDVBzQs3kg{TD$Mb5foGX3J~C}>wkm1QPykD| zy|>qWp=!53=Umr5GCeUL^Hu5^*4)+60T>I1Ko`c*hYp>XP_L`&Q_H+grA*3aiLx;$ zT@2aH0SQn`OUBNbK3Fo>1L>N^AF*UHIsYqE9Y_^WC{$1*gC%?| zWnp0f*j1v9L?&%6uLQ&DMn}g}V>HJK{SPN;=UkF%B762QYikA&7=J#vf8Vg#ThVal z;w8;Z5UqZ2AQ)B!45Q=YV{@?R^Q?{U5DJ&@cnE9LX?@x2AChR-jl(E<-v zNL5nZr5FzHWA{Jjp7#bBDuUd zLSrHfvD=*sUG#tL*7N0P z5TJp}48?w7>mf+?5Sz+R4mU=Mlamua{5>r$$Se$sv!0=j<5>&Q^uKB(1H=s_W%LCx z9zgB@+8Ee*&)qjQw8q{+%nhXVf0u$t4XRY&d zUu8zTm)ejwaHIwcNMcBF(G%C-Tqg*@uMfJxAH$GxcRvO(((CW;}viX{koy&Q74C%`uyZ3j5=uE8)YC$@JKyU-xP-*GE(htHHcJEu!uT-Hu_KM_B z3Je(;8616*2OW>m$U{4?dnxho@J>!nAm86CwSmkyl-_N7+@Jn)ENuZa#2gqBP+5Qb z#wH-(4jw0)z5Dl1j!Vj;@WWp)5Zc(wq^Xzl{@D7qXpL0WAozA`ok>1!)6%-B% z@XlL{Ojps2x%P2WZUf^|Jr=l%BCl&21K~Y2(KRvP9)=~dSsX47pIcieTUw@~1=5Cy zW;lZ;F~G2(iL(JG`Cse-iRUslW&NdUIKJW=_+uG6>%$AbISis)`4~}8j;l!K{*e(< zG<^_mK$7%3Q@kG`{**8hv_Qd0+}!ABNB-|Wf0(;sX@Fdpp#b^^!6hJ=+BpF!%hA3 zwd^2H=dK6vRFU`Y{WAwWCnta=vuZI#{51d7(}PBaI#BRL`AC;7luQ)JzI=&;h2^S@ zu!75Z#igg0Y8L;iOQ4v%_M>hT1DV;`a0q}GgQ<5)z$($xoB9`5bgx5C(x4Q6eID!m zDRYanGc%rhx4kPp*tkbm?=$^%16CF6EiH3&OYndVUxi;BTfA+W2kNmM6bcIx8_vPj z`-&~CKuw|x25yK>$pohKpH++7wo6sq`S-xiw@!w3+!-w_G9a{sk-+&;Qc?of8-Bt# zoDGt0pnLx}kp1Mz6U?7J;&C@uSt71Eh{nd5ofAS#Izo$ZOc^^&S7EAuWuY~n0St8% zO_~%EVvG&h{hBd2I0z}92NlF?P#VGSt`?J$lFS;daUe)DG9m$WwgjN`ntIr7?gs^# z11RSK^6JMA2;}&rM@hNLy|FR~EmgUq%68yB@Q?k7=8=&RR}k5{y5zHllG4(44z%Uu zYtg@BO4|vff>^%1yxi5*RZvg>ISr?!ws&#i7L3=UD(%pq&1?iMK{K-~S^DWFFYc)y zZ-iHUPpy*@6Q@z9wYAUE0K;S&eIlfDS9U?zV|)DMByD*mE8wu_rchlSO97o0L~H=P zT8fK{0|i2Jvp7|-94?*A|b$t)*3Ymb_WlY)wPkE#^2A|D{9@UtT%3gGTrd&htQ0-_K$ zH*k{&%Z&E+a?;YEUM7rm1B?Xcy6%;Ge_mO@*B%E+(IzOx$XfvsKwqV^kb&l*lgShR zOE8A332SZX+06D6Y=iwlY{Ch@{XppcPX=n^j zOxyzr)+ePbw7?%+Pd`9q(3Xxae0+TyE>%6RLae$o`v{dEwUzUXCVZJVzf>Aj5{j zP$0s^1ohW{MV9?ofki1)rkz?EIz2rN`BCZQ=63Wt3wGxH7EK{=q@f{zgPS`AU^&x8 z+#s|XtR%AtKRy6I19+0R4WJ+M+9r8?3kL`F?Egq%j)0VYx6EkAL zXU{BHpcE=sI^cr=FK~Wdm^oUIN0v7#36WvSCE+v#Jg|z>Q_rs&WJO%di>YShD~71Q z?-~&00gfwOb(4tRR0*xLitU&f%Eg)b+aYEC>MFA`cl1EiSbmkqj_P3e5oZow$?G9g z6Ip_jKEvJ*lV2s)0P3bp_i8De#&LAj*E8z`%q49}m zzUJ0jiNpjQri9bSn3N`*Qu#VzTNW1yL^nlAMPy9I2CC*@t}sa%-M~Q2TyZD zePC0Dy`vqUs;Bi4J}6a*ak4VVpy7KFhk>RNL=BVuQK6A)p3=Q%%3t_gGECn^JMC5z zk?Jevr(<^6vwqWoUHFn_av0Zp7ql`CME^D8QK@&$IURjB38fyq&U7w==2Q7cehZ_74NrMP8zgANn8cmB0G( z;`-fN5XRrgn9+d4oCg8t?WFhaeVj1$fj}M>{`-yq3=T0Y2&lN~!+(G_8t`c{)ytYj zl>hQyWi>TtXXlR}Z!Z_`)Nr6ZYb&7rB`qB!OW&|l8tlR3GRi_`7^P5$bU)#26k&65%#YZ0NA%Z;*A>lR6^tTP`jzv_x# za7NeEMg7K+uK}+_T0oP*gLg!N{7VRb56bg=Wq@qph+Pqt^u^wii9jr9axCKylB8 ze2A`1bm7lidtJ-|Nw^h>Lw}P9V|(M^mFF6xqV%O)-^}i9!RuF2aSW4x2zOe{lo7J<#aBN}-BqcG+tl1q^h2_}IGGX6Do?kV$?crK)>hB-OxJ27E`M6yJ(ZSOEnfPKtTC!uuVQ8 zx&~7ZIO!|-cb!JKeK}od5M!sX=m8Ba6MtCy*Iu)_WwJBT?$#iy#fK$(FmDzJWFEWE zjLbQSVV84uKg-({4t2flUgRYtpdV!J|LzxYdHt;f4$3Mq&xhN{3J7LAk5_wUN{>s5c_ke2AP_fjs;uKB>^@^zS$wR>0C$DTM9|d3tu;Ow6_!-7a9BxO1OZl3>U){Xab zGz=v_(KttW#Qr?zM3lJR|5*2)-yqO-q_Qp-vNCXQJ8Y z;aCgQ{@H>CZy}H_O^wyjjRgl%FY}U$PdyF2V%O0+C3-9W`zVwAlXIk|Z}|IH^YYrb zy!yr@NPzGNr0ex&x)4#49dzNSEz-x35_$g%c&XGTZOMeHf>nv732(>xa}pLs?5!SE)1O7c&kxxOAf9V1d~)zkbiWqi&0B2Aj309%r$PgtrUlm%*ZiHrm!Rp8OLFV#kPu1 zSh^HFw|8|kRnm)aZit?(q?G)<-q$~*^yAh7qy(E~ep~suy5l$O3nuYM=L`qYCV}hxgext$&1_cJix?TuW#%|N%j%Qh@ zsko^B`__;nUVFXEkbTum%4d&W0w|1^C;?`4wSi9Ag>C_t+cf;fJ08fTRftwq4F8>( zxAs0s7gqPNNDCe~Jz?jhv%^23-O{t&@rJe^VJGVb3}j+5-8d;X|A(!!X3>|hor{_N z8a0pY8cV*XOYwW$UCuQo%K7oSS;deU2gU@Y`&RFHkU5|ITuTj*0(aZ!VRNG|)k+dx z6^HM{^A&bl>)C%nOt6uo75ZiE>D87QG&X!}kW5#}n9j`mDRO5Q5y^uYp;wwf!goQs z13I|2Msdz$rd0MvwJ4^h2@Peocp6w`r^6J-m`3|mJdLcjOT}qe+2A)79g7CRkPG6N z&93l@`Tb^d&Ucq-e0*Q4Gu{#}Ikmcl$3jOYQJ%kV~(ni|~6ZC)a zq>{}>aBYO(`sU7+WZSGdsC8A3-qPn=I$+p|vnJbA$e8=1r*ei?%W_zPc-R^1BDb3I z&q=nlvQb=Tlo&ciVd2qe`g)~zbJM)nmC0C%I){gQjRJ@zBgA{8y$YE z`x*gvj=}cD82;3Lp&IehNl=&1psz;Y7q1ed{)1lHy_-1;qrVLcPG85jOA3YP)h;9# z5y^j*P!m7(*pw7!9%6akG?g4UW6k6ItK@M^va?5UC(gU{vG5` zDJR=EUZdP&pI$W#eMhHMz3M?x3bLvS#k12LL%*;id?yn2FY&QLtea>*Z!J0~b*oO4 zUKfvP+flVG2R?+cUiOW~)DX;*mze(28mGidz;<*hSHp)?_sH7}6!y~)32U7gr1;w_!A3lZ(Sz zMePb@@*(D>@=coj+GDTD(|Ri zg8Z#zYH$usM29pD$g{d?oDR;TRlnC{TZL3tglU)TS;&8x-~U-N!!)H?KA~^#Q9Fae z|G;y}_?JfBPr3jwj7iDa*4}ECsppzUh$<`Q>mo3%c=vOf#T0{UCd=2cEy+tdi`S_+ zDyGQjPE4@cd4ROi!sSIujZ90$sCk~^JGIFK+(hDJ2hLBKCE510r~*;B1^Vx`=;P#^ z#gq$bG#w^X`J*=9>^7d+wc$SPM?@5|sNRN8B^lI@8Z^RGg9g7dD&uPp^vBE!`Y!h8 zkc}qWR0r$wKg>1f7h)AOZjddRrpVVt11Mbz`6e}Iu4liJwp{%VJc&e%ByZ&wL#NS2 zO|(ZwW1V~-yd^fTfq!>!J1mdoCx+TgH_o@^?d;oP&5MDnZ5E^#QzlQ#82!cys<0B1 z%q|_3JR+sgszE8Mkq)yd%IuNCKA49ZirohbA`E*bpO#b%fi(7D-^XIo3qk1#XmZEC z-{P?0z;Yp;w_I0r(!Eu}yR)5*GcdYeUc15ne8GeBRr75H_H*dj{ylom^@5T<=J7O` zqM;xpaLm|#s#Kfr;fpwP);awSPOM+TWgebKW==#s8?n%~>!@MchdEX8+8eFKT?$`~ zs*K9wMUxsYr^W>tAUw8KUqpqbb+!99lZq$$7FsXSDoLAd##=MPkA4kjn*%pmLAS+G zlNNoyj>3@Kak@5`??KF~C$9|4R1Omowwz9~6?GtxPxo~=^rOmpkEK=kY@G_0gJFW6 zul;}4$~@&7{dkK5j+Jo1nXzZZO%yox3>hAF8&y;K_@W&5h+PJkj)+D0HVP_(3-&24 zUC6%|KxLB69)V|o|Dp@|cLo3dS?GWM{eSQK-?RVs(tZSZ`TspTKYxdlmm2ckNY9G` ReEAkcQBF;^T*f^3{{cN->D&MS literal 0 HcmV?d00001 diff --git a/docs/source/tutorials/images/HVG.PNG b/docs/source/tutorials/images/HVG.PNG new file mode 100644 index 0000000000000000000000000000000000000000..9c092475ccd81c14d82a2c8710c9c7004bc591bc GIT binary patch literal 316547 zcmeFZc{E#J_&#c$hqhXzhEP*mLku+&lnOOZ*59sKaCg|uG#@SfTEp8qmE$0P2`~l=PUFDGQ+IfY^!@$CTj;;p9dE(4`US|(5 zv4zvoT?+o6lYZ767)nQX_TJRU;8CdK#tbXg{Z59Olj%(s#j56;ud>;sA3dsdeYCGG z%a&>W_1dfJ36Jl;yC}tNE+%{Zm1eQvy_9kn{o0pI^nK{9g0-`Vp@9h9$Oz{I=NN!r zn<4x`;-~fVLkqd}4E5ytWsVoOi|+kD1wZ>0d)fcD?c)D$((|h`_<3V%7sHOH7>$dgBn}hyQ@MmXm%(4CP zs@@slH@ur$J$Q3CTdBAp_?PLXynmS4H1c3(dZ!0C=RTPG`%8`3brg!uV*SY~^pu>n zzrY*)b+dJMX!CbfR7j6dI3BUx#oE}f(BdQaZy-lybs_-%CwSCi^I6BSL&U1~9O3l1 z=`*5tRAAZlDO;>A)V5=?sV{p|YL2ZYeriYV~g_P~rWo{n@{>Q~!yo z1*zIDv^R2Z(?7b!A>{XC2iuc^pr1EH&RRBV%_7#!pi_=VKdlkV2Luny{wU_O9*u4` zu$vkVn;L}Qt0K_(-WoSf%69U+PtdEXQ!KbHgS{9An+Ocm+ly=JSwb zj<$`?K3L?9Bc^>DEm^1!ra{q1{nM;^hh6*0(35xN>TFQj={ln>@h&E=AJox0`eOUb zpxSgWZSQ=f>;7_*`sI_NPWBr+d?U7+JSKp_me7OE)Cdw!wCkOYnNdCJL%XSvN0wnH zqEUwnGod_IoD79~7t;Z@@63>y`*WxJjn81*Agmwx>wC2i<~hG+_Zu2RmM&Io$cUyO z_pX;akb^fSx>^3N9(0`1HotL#HVV-lunRNyEPsA!H=CIU%zm&enCfHE^HF-5VyCuq zei_o*GN-o)C0qIR9daiby5U1_YeK95U5h}HKd85r)zP9)mVnyf?=fd5tDB6#L;b8o zxs)aOhRJtAj5xa$^b2ONVR_Ti`S=CPOq0Gx%pK1nhBQ}G`ozLUezAfHm-a?rL7kig zyk@KB*?Pb#WC&@+10r$dtfc&zJCNyTTV4T<7pQ2W=Vew`Ey>DRYwk)`c* z!{C-B$aL_Q6e!G8y?s!e@}lCd<8p7$mzpAlzCFw-rPMENZFj{aE9D4(qe|J+Bl+-} zD^~A~Qo~x`v-aJBp)Cd^!0N!Cy@(Zxix1y1!fi~|^oULqI`PV)+cy@P^xXFr?B=NB z4Lza}!FyOUkrB6h|3W4lCXR$D{CabTICZV*+|{y{xpp!wTzIYKME`7HVG3pO!Ad4S z;I{ffxh(txd^z(M^t_Emt#DGs_wny6QTuh6O^V=cYifQ4EIL)U!7;i<LT{6o_ZFg|$mb-nCt?o(@i4*fnqu)M(7iJoD0%^dhw)ed`Nmv7JK_)!Em4DY$ zv6`0(H!aE;)%U!*L&h)qXk8^KG!^^)Ydi4kI7iK%$lhLMJdpZ=ixyq{KiROV3-GCp~z zeeega-EtQ}edI`6)S)J-Bcs;KN)fdTZlit=wpRbZZ`CrhiUi{)wZwMcHy_onyxYDE zFfyh-)fEE*ie>isDuVwzqa6VAq9w`W&muV@A=XmMy>EH*zn~Dy9a6o9rMEdr-lsLq zuogV-8I=Uln;KF1qdv4F`C@!`NV}>WBI3hzv@JETxd!Xxi%L-?OE8{zPpB65PCQkn zRw4Jr$z%U$T3sO|an{Y#;j*`t(R0ZAdN!PZaJ>toajDjYCM$e=We7 zk)G@hl}Db?!*2pw$6m8C)`(xN!o3ilUzrIUl~?#V?k~2JWdJYpg@%TA3lCcNvwL(t z(0ZazAX%cP+lh@3-SzvMn!{n1t0#i#frnJnwo*(~xQEl(uHIQ)dH2pmRH#vw=ut1E zAyIe3d1mB`DO$xvOlUGqScPS!28HyoJI7^h!_M>r?)eJw;OEl8PknNH3aMkI2;W4R zdff$fD^F0=PI8NrA=i`W^iokiEc?bo4E2#6d{9+;b}XY=^nC1|1)rTeA`;h|*5l1a zsGZxJ$2juyf2!j)#d*T!p98`5)Be-me~VSig-7P`)8+fXMcsI zgUs{{)-!rXug$)*>qy9=SW&s5(k#d!+eOlPqmFf&pAK~d<>y`1hG;ZNjpeTJvN~QU zvqBXIFTb&FFhxs$2^qKbNa6R@h+gEwOj-mn+$Wmxuiw=j`eK0U`~7{NQmWS`3)K2u z+ObyJcat_4c#*U$SE}n(@n!tKf1y3vQ^V)e&o6V_xMPNy-hpBq)|K-=A76pb-hI#T zsnNo5X8XmI0G=IeYRQ<}rIp}ye`JA{q?X%#NP_3(P9^rrhN=G?pzksDRULbLBER{c zS5aO(7v+<0;u(d-x_bi&zDU^9uy{~^E zX@r3EgK>S9OSw!5la=RG<;cNdAvv{C-z71%t+%*pZs_;LtIUci?Dg+Et`%FT&(y;w z_bjL}Ja%#;(Uxudge&kjfjyOmp; zdA{Rqo-Sv-9C{flU`ESkI@IYC$a)uN#Nj)EwvU`_nZT%&`!x5!%>9zyF=2(!3J2eX zKC?U=gy(t640g1%k` zdzkD$6I80eUN+o-P@jsiP$QK5Eu9n$w;GBp=yh@y2enA+_q_ciU`5I#0ii4Pqn3XU zIY9IF9czZ5y91-4Cbp~8bDl5S@nTaPxXE#;ZTkgigZx46s_|64Nq}!Mwen0(<*KJnOUC2L}c@t3!&Z^rgMmV z^tUxtefF!6At__b!X3BaoG3EB^Ck;-NpuGtPEf6Nh^Fne)RNHn&)~o8?MWeJr`I66 zvJqHNVpy?CB*#g~U{pj}Why(Q_fMjlkRsEoLx%Nt&(@{N2fA?jlq(iQZZ8z=;c!u+ z=+x2Y!`r3dj@xkp!9mUsiFXpQuf^U+af34M9A1Ngi(5lY?AB!Kzp@+z$uIPW_ddO> zd&uVR7?jze%BXq0+?@D^y4`;;&v|1aOY>>lBLR|!;g^b(=fnR)4re%3b*djvtrUj= zu%JG=`Wy0IALpMs$M!lEpRhatZmBpyL_!`lPBx#>{>{CGMjbV5)b=C1a@^jor5&{W zL$<6Y3J002{&AyoSJYD85C*%wwexGrd(*M1`;V{{QWX(0v95k(`|?H)TWGiEI}faG z$N6nD+(x+nvR8IuSmLkfH9Z+;a=&&D^P^(E$RO>*@t;-j<_)W`yQ{8>*RVR>Wvy^u zJ1&)b(iK;%?Q3KsP!WHMwHF`GtbaLFE9wO)q9a{@b}b#+*eeH1$7vwEWLa=cua6IZ z8pWvj&ugTvkAfj4$L#eP6-i03lA*DgD)i2-8cuThUscqvRqE*Nf!lK~KNbz5Xl0m8 zL3@AO-upB!vzDCa`AdwvnXTlQM%{eio>9Y;sU0;X3eU&$NZNGyVPb**zp&wm<|M%8 zI$k|(y(HQdW!VftF^`+mO|_lV_6du)e6I<9`PqQ8b3c7`$uN(TAsp`!c$4&l{+AlS zEaTvut9DlUrdoN5sx2| zFAoxRh~hIED>3j}U&P-Jmf+)2r*PPB*PAgV?X0>agMy_lB`NsOm-+Olt5yP(I&6TC zf$OD$QLD@dYJ7Xq#Mdq}%C)0E$>vhY!YAHv12*5_2i1Z7@{K;cp`DDUyds{{a&_mW|KefTiL=wW@SM_EueHbPn8f^3U?+QCNUk%fUgPV#a@eO=He+j45 z9EnkvXZvI@e+ZP<4@*09=T(pTAS@do?JhMpu6|ym1N%1GXcqUP=?&M8vkzd&weiDP?-C&hGpN1F0PB$&N|YBhgf>~ehtuN;{vzurwLS)Egz_T8^qs{PeV zVSW~J*p1#{Wy>}FOH;jrlka3GI@EKwwvafxbBr$x%8XK*(EMOY`=CHC7VCs09JtlX zV7!|pUKXm23aqu@c{6G}7`Rq`lhm{gtjBV`3v9>rN4{BYg z=3IT;59+}l61^9JNKH?bpnIsOdT(=VkzPVqSZH9HG^HrfFUNzTeQbEvnyu8qc{*aD zW_Cfr?e~?!{5m(p9~{Q8swwtgs`1~X4bh3pnjXi=H{Dz79^?Q&F8m#MlV+*{W$oYY z!b|Ie+i2>VTApj=yZ#L^z~AVg;KHU?eg_#11L}@X7RBKeJ8t$l<&$E&Oqicr+AvdX zYP?@>70TZGVbp=c?n3XoIfN&wT_Y=>@hH#x@ZE@Rh!=#m;tCs|isSwsPbL~#u1g7Y zdDOZ|P*Tb3rVf*m8HYm zL{ZIZXHTQXhEexmg>5;Q<)zo}p%lXz*AM>NaiSmx6!0_Oo)&uYrT)Vt2b zKl9FVnhPmUSe(xRURpmHiIZCXEgRNSB8r>)?wK1BNL2El130>wi+QSE zTzahE^?WGXR#H)pi$|i5aFJB~QdP5eSl??-m&b{OT1e69=Ct*wb?P*ql(th=?NY{O zzQ|CsAWB>EJfX_auCP^xNqiH(jcU9k&8U-;FJ*l19z;L3*zNY9Yxhn%E0F7hn*0`V zZ{_XD&M4-&y|&Dpq|OLE#uHDkJPsv#Ke(nx8R6U{AS~T~8cSz}YktnZ5uRWiY%3VB zUQk>xFb2D*58Z)Suf=xe_8HIrx@|WteaWu*H?WZZIbOo)9VR7DL)25;JMvec{}w6v zlys1xMG<1XhtEhWDmV?eApg`N4VM+(r@-lN8IzRH7pJZ*R^MgYg>HZFWIiU!C?OP` z&nT+QlexiB)FW+2!2>AlT-jfLqn=P*is)%n&9d1GzwBsOQCf;+ZOzBAbEKY~3|Hw7 zTy#YjL`oxqEF8)2(d6mn(h6n+(GzsrOd<6tCf#GhT3Gaeaz#WU3rw*?6ta7+!E3Eq z+Jf;Rp3AN9$uAY3;UPlFM98x>MF_!$BjNb^gaMTU$#8}k zu``Q}BA>&5E5e^H%pB z=uVA-_!oiafm`!@dIR3o+5Ns8XjT5@z$B0VoMt5PQuu3U==NRSZ7=o4b}2q&mwV{$ zU5_`T*5q0N$4W`8Op(AZ&_Z_@byj6{{YSD^>W$bZ+UA4M43+S~-=6og!ZWueI^*^! zfz)IkY)0$A5>cYslt(xco~W}?iP$!R$P-7$<1U0V>^?$luFLLSt=nP87mFaW_$;Bn z#WPH&u6+KkB61f~&gdVBo(vzZzf;oL+)&DA>%tAg_mj&ctC6W9~duJ2>D zauWdnZQ0R1)yb4UE&zW+frk$>nZ6$iAo#9gLJjJUett_iGb|m0#V$)-*L9LXTerlu zF^I2ESOS|6!eB@|m0567FQ{Iy&cyZE8gRy`o1|-J>i=#uQ_TRwxv|YYc8(+W)S(P* zMB)o{OlnMR=gp{XOTEZTQW|drE)(?yHjRJ!k(lW%aJpw!>B)s887-$j|H&@R>PXt; zz7U^%7ZImQl<$S<-1uuUI|6O6f~Eu7Mpr|{7?Fm0U#jG$A$lpML5rY8)0Xs8((cQ* zlNX!go;3S{yBKHEs-E*4?D$Nub=)+G)+FTFb zzQb4zv38e7ePA5FjFTp8qnO{f3U*aB)OXEE@YR;cZlDo{Rb#8&86ts&r$LuVJ7oP1 zk_5OZ&`o$mXm6LmSHIOSyO&u!f0e2t6UKgR-nrt6?n+B;#8L1`z~%@a%?P^YymHYk z#Y4NF`8l3r3QcWY=!Z{GVg^1JO$H#X#&>#p1)x*gwcRHf(5~r2Vn=qq@sS)?I439$&yvGn$mTEe^ew&rB)3=>8 zcUl>0qMPQr!kh$>NdblwrJk;V5U7rGNWJdTFNMTfxJ@!2)&Kotvt+hwmO{YuPW6Xh z`361wA)x(9H)x+ck_)NMJagUn7@6mafzowG(d947fr0`j&udqU2n{dc5@W+W} zhDinJq+_C#Rwzxa6edjjqfB50$?@0!g0(@QilT~OSEqBU#dl%xg!?Yp790pHQ9k`R zpFJ7jpZNM=;iv!%SEKmyWRN>efi-Tlx5i~sYA9wnkx5DLW?CJyXg50PwsuPDk7k`I z8=LQ)iu}?-34)s`G3?WMSB>Z9Cq8)OYtzfN09@|5*fUKSEd!dzx_f1Zj}!r%3O3IJ zajo?H8n+fc&b>>%sC2_tF2YdI(6WIUIl4IFKawu)gJ?O-fSh<3W}J zw%J^%Ky;o{N>WO;7mVnJ}FH%4E_O!;;pQhck*Dx|($WmmL z5y~$r{V?21T&mj0s@Ea!XNhQMvHBDCm+5edgsHF-5To85zWQfx!7kQG&O zuN1sTvbHRaQHkgTT>f5@?aKLk@X4rp@+JB!!K06BM@1vjvv@q`H}as93oi@~UHT`j zlYKY;!xXORop5NC3qdz3u@|SWw7;9zWr!?1q%Ku>ipjj;$#Z4L1b`r_p+n1HbR@D)q+Gs%<*+YA|3M8?d|_ zL29!`*C+j`aFe{2qM0Ca@$(f=4}o{j=Iy@;9n~El&chaXLBtn@|ZFhcL+7 zUXG&uh5p-kae9vzdD&)(*YqH|t&D2wsWe^g4Mcx$$tv}9iyi3U&_L5stg|T(44{gE8zboNg4#9>{NM}<- zdd&EJMn1XxWWC&bu2CE%Oztkyw0V?t>FMLf|J6<$O^lV5MDVpPz2sChCS1DZ6 z3LDW2m%+HE5xWVopEGxJxD63;ZgYU^Sjca2s5y zS)l4^xeeegh6lM1l~@QoeaUtWX;#iN?mB30?c5_rZO>BZ5aViLDM+`GUzH{01|n8u z40>4m#x%H+4XIsuB*gU|l`Dj;nG~D4gU(#HX$4!P`!+B@R4} zQ~{et`-+WRsZUG;TXpgl&H2z5lydrT+YO73N+`RZO@3yYcz}Y1^7TGOox0VfsI(`| zivzi68*Qi9hps&e_=qlDT1Cg}-;Kn9_G(oh>)Cy ze2Gcu6XW~%f)2*8-tWW&K`ZrS&^v9kmMO7kA6h)hw@k}c@8KtI36-$8GB}b|9A?JVy4hXRHQO8B zpfC1(XYzt%gv$?U1oPMO^AN?@varva1)(8ahSND?469rchTgGpK=g+OfHBU}j(;C)zSDn>5;+R0TC!f*Mt-ygXaf0o8D8838 z+PC3zd3#{1UcX}<$XBtG&hGhja3@Aa%RNpKss#)5zIKOmMlynj&tbwtm?f60Hsc#m zb0J=#FUyHdw?SVmV}zMri}u}??9OF%D5ZzAcxK+fuSptF^T5u{DsC^d7we=^??elg zQ^cdQeyVio@_bT)v>(3S&Tr2A1CtT%D^Q7%;k=fXq?BacS|az+O4GkglPmbXW9)^K z1-&ozhK#_}W;7b(8U6E3;cvk8CQI{ZDI^S)A~CU|Fr+kv zzj$P-UpXb&af(cz6V_MoNfnc8aUFO%3E$>>sSLd8z5YsPa&>GqyCJATkI9WpPKmnO z;VK1maDp=VeB;Zp@tKDpks@DJdp*oGo~Gpf{n9i0v;=QDJP07DzLe&a-@O`6trZ7x zhQs1hMpoT`xw@kXrwFJnzdL`hPx@);^b~)-g!-;fyL>}m)`=uFL#a)yTFFPIP2Dk7 zVmBko$!hI#f#Q~20O3XNaK`2V4ya5eUsm;b9|Kae`wg+oLZoH3b+O4VM;q z{0z%I0hrMDqv>=?XP1)-)oSxZQ=WwnD?Dwjt*Ysw%C>%-sACEnD5nnH9*cCle@8&B zq;1=DTkkZT`eo?{e~Z2zr6BMlig|@VY>)bLiPTE>>4n6RXP!t8r`D#ZOTVrPs^$*G z`K#Z=$m(`7B)n9IiuY@*cPJ0;jr^81URt;-LMkK|E||?_GCS04Kd}VfdAp{vdP(cg z5-byxQ=}Wk*DuxD0Zab){h4q{#&EWojxz0j)!QQV-cgDR15 znlD)SSzP1_aBq=t(SQA#EbaU0?hJv|KoMTQV^VnHyMJSe?QETkH?8t`HBu=!v$&~C z=QbizvLy%aDIDSKvE`;my~o4kCEOFQHF*3pGpoJY@8yhf@##c@Mj z-K|2IpUZv>Ipi3qvwgTYn44*p460Rm;J)jYhfusq10iE|u3A;fBs?%A$9E7k~oN@}_3ss`Gbye$eYT&?sh=K1euRNMiV>NUUT<||~zMp4uSsPo$d`b&;G z|18ii_T#X+Cw77!J!~FX-KZzXoW>7C)2LaNJR1p_UR6*ge^T`n_p9`lns+ zx(w&#rG(GQvtwo8AjA08pLtGe#)YMuovK%feHnb7?*_M?@Tkc=apd7-#kAX%BL}N>+0#6foanKwh}Ww8gv7}eR1ntt=dR<%b0z8OkAAl@ZnP9TYV)kUIQ=>F zWjbzb)pJX=BNK(_OMbWoXi1hHmQ*X)B+Ie$rt$Y}yg7AhBnUSrL?=7#YqztvxuPb0 zeb*=IhfjaO;jbGuMQiGwXs;E&h}Cp}mgjA{#k-s_?NfkHrRYKQ4`^IuJnB4`{LX)* z3cU14b9JjM*`Z5z#^u?OGA;-)wP=-Y6?2`;+(Uv!pWH57ZU?JaFPMqN+P{MovTIc* z6QylliiQ~V6!iBOx(zMy;w3^jf@%zl9!H-?F_(A`RVxSTaF?~s8bZIY9Vj<~8ku7U zFYBvh;Ui+%5syWPU63SDXPPZjPXf~dsP@6omzvf0{Bw{QPjz<+pPkpmyqSko^nhIM z8`U#1Ve&i@6#ZnTxrakAA+HJ#@|`d#OPcNLV{vfg;tLsF88c+3W0)G(X3oI?E3Qm4 z5Az8eq~tgzZZpDLpUJ2-c?EG1lLKYyN%?zP`mtNzOs~vLnTMj%-ilT3*|u7~c=#S2 z=}~K3tZAc(2a(>DMusCe{~_!-aKHL{vyfOmN`^0_QLFC~aQr&;jeoKKQPhbb+`Pm8 zwq8#8Tv(cZW1G%$s4nC|QkDj5}QK%o6|wTVVe3(v0{Ihp(n=k*fw^o+E`Yp9I*U>22#n0sCV0 zDanWMHzDQ9RM860zEEjBw{8?QzfP8V8A@_3X09BADZF1=&)D{CUmmX8yA*XuA1S^2 zXyy7IV_^xnzWg*QTJx&9k64QZI1)^~iP56G7x3J8(Iges#FUX*d^A4kqB7>)1JE`A z9<^-bAecV*ZYw^KV1&KWRrgy1PG8&p2{Cu#ZYx5X-u_=W=Hd~Q188h1@iYV}E3mY6 zE&Ar&Nm-4vqZN2_iOU3iEzH;c#K&c9oPpltPV1WzJFpM(i$gukXV1F`Gm#G#^yT~Y z4Qs_%xH)#=z6aa((q;)lSLKEx+f-NGJQL$bpLKdSjYH`!xqOQunmUaiEX{`&Tk7un zo|km{n5;DA>iHn(yM)I}SWz401-z&C7Gx;)N8<~r;vYxEk6tq8j|I_nYrqHg9M&J9 znDPT^`ET8ckiKG^p+wxy`af6k8jXl$ z7%E|ZUDstgxGcS*1^B zk12S_`{PD_j+6>fU-EF6pkon|oxIv^881X>x1TXhj2U{!xoBvv*L=Lh^uwAG+y1l1 zat%oHmh;F^N~s5xN%ZuZRDW~%bEsy_oa@q<8g1E7li(3ldi)b|rtc6ss@G(-6{hVi z7x=MmzTvRgpWtlxVQS^k@{hPXrOG}W)6I%6^M%{!lvr!-94d{EKoS^gsCUy}$rk~^ zpmjzo&tiIKj62-T7c6PA%^~yNxrrB9y2<$t(h(465k80?m29v!|^p086YXcNSc`fuBw4( zisX!oTo00zrIifJ=gMzUcxUAm)}rIkac>AxiBY!}9CV33aw88BgZYr?<)ucOjS}8L zZt8TJl4WbNigoh`0oMUXn`$AuZe_a*ayD}Or1~fo)Kft;TFKJS^G9P${2kc3m7P=9 zw<;5?Ad>%tWY`$^7jRtSS6j!XZk64_WWi_B1)SzhN(&Qy#_QgT}Gwr6{?t==LhY0@Nc<$koh0XB*phNFrB%TuZ zVV!2eyXUIZ;l*U%#_b*f+CzxzbDpldOKd3I`#|vv5F8oAH6}F@7^UZc_h-+8;Xd1gn+kJNxxFQI%0)t-`IIk~v{}s?mn3!Z`AErv3CVG&`A(L~5z)-jm zhNu%vGMrd(GHDBAuSv3GI$+(4On>OLwUL=;kugJENtN5 zNDRGk4G10}L|TU(>TNKJ?#1s6kFS|&C3(O=%3{3x39Zbv-yTwpBV0ubB@ey{efJv` zf@QVi4Pei$`YekcPm@;SOL=BkcF3>CGs@+Kz_@9~>{)R8Rc{pHt?p$1E`%5Nh9*8Hj+P_N% zs8E@!e44{lqr;_j+)~!8XbI0iN5|f*UjK&;vlJL59VZN_b`Rrwu7?&2dSs1Uj(JHx zzpa$JPSIg(fI?GZeu%G5(DCOhVi!$JhAd{eKCvO+9Z$K~3pP*J!sQd_1zC)9G6d{Z zV#^`mU~lxO-}X`tY-o*xcOlu?ITCQ~q&Rh_QE2$~%RuWwv~d~(*U$eL{rSgItfI+J zP~O@awJI_cGuKr?+XP@N@Z@^GsayVWmnzT4#v|$bd_YLm+=OON3v+(my6jo z$2dDa->)8vbr+Uf|Mrkxu4Z~CNq8^tNr*aL;|vG}wZ4Na=5v(1>vruV{7Ckoe7pA3 zsH-fP;;wj}M%_H`D#*g)loho>_v` z%ekvet>~)VIgh@(y*%iKsC0|t%l@9ILp$X_Rkj%@6NG@CqpYM`?#x2wCF}|Tw?;l& zy8T{|e-pJYoz!jGG3p2{L^iFo@4Sj`iI=-1$8X+Tq@*p7!psSVVc^%S*7YHw!4(({ zJj4Akn7K56FX4Ai?e7CJ4KheSFBg#Q6Vl(r75;UeObT_})g|#3M zBC~O8LD-Ne4b*lsFN3(i7dJkc>8BUgN#sY?N+kD6n5J8v1>Bb7(h%D^xR~Q9lz{5= z8%@$s^?8h_JZgoczdT8a4!05*E31g2Js<^(uD<$Ast}Ma%Ahq|aQVAeg!m#}ojDxP zi@V+VZTQemFkL)cSl)Qh04FPxWoV+V0}~+G3wJPOiMP^;xReu2Zb|=8C?3&-WGT#} zbQc5i1RRzgZ$F5FjU?xuU=5&AX=||6w8}0xr@DdGW{rvus7+mA`PpUH4=ThS{$|!f zh?2uZ5Nr4oEnj0`kr! z%uX3S#?>>pIxzsjG&t4L%W!(CWGVDpazlRJ=zxJwc36J<&7L${pQRU;>_O`hT6f%i zu4pfP^e0NqF-?$Un!Jip_S)eJdtvUw1CLjjkS;t~6YysDKoX#-CZ5^=%r@^R8X3B| zBn>kSvJ}lMa5*elqH>;*s|7AaC_r7WU-xO3VBIzIY*%$%eTrE5b;cXD9q&NLSaDcv zeXdJ+Q{YVtQ&bKTot31gqnFvGYeIJ*NEfG4G^w5AIF_9v;?l$Fh%JaH#ia9EtdQ@2 zAnMpZnbnmG`%m;dp#==}g~gcJrN=D{&sGGNl^Y&*?CRUXjPZ09wkO4Clv(szV(sBW z$GH)Kc97$wi-8c_ZHn_+OH`i0;UZ&1k$+_;Dx93(vGAj^{X2Z+=CaPeiM;R>5!!#1 z%fmUzgSJ~jcI!z)O^D#l_UAIn+bJ`9?|w&4WkIK&xyFk(Om6*P${nlVSyH8zrtBD6 zO-kyZD~{7oGqe1^4*{Zc`bSn@f`k965APX7`_1#RC)8mgp}{tMBaeNb^M^f@zJYw} zLAGPHfqMew84N=o^LC8=0a6DN9fM0m_B_oBD1*%=j`b0?1C?QZJXZvNGiMnjp zKXm8A&qW7ie=_7K1({bVzX>U%%BTqjN%HL~6gbO}TH7C_o&6VO88KeEa=-qQmB^Yl z=xHxgD*4?+c4^|c>xdp%DS@B{ezZPh1`Ha*94g}oP~`dCm@}$u8q!t1@Vs#!|IgLe zZ`)k7+R`<;7rH&c$+a(ql+3sS@a)e2(c^x`cW8cAbA>v6;z!HIY8O%-Q&f+3%ny#7 zDB8XX|EsktGKl5A9M6?+CLEcTVBn-kiT7r>RS95@H*9B`5X=(H9xEu}zW*$Z83x00 zURON*`F&mr6o3^}W=t1%`DoP79YktWO3`5qk?oFE2ISfN?q>U0iab&JIQ1>-4jb#7 zzO|^ukVsoW4V`+R%1NA{^cBoi<U+mLcK{BrBXFfJ9w0ueI? z%Y2sP>zk_;jUE{m59Xr~^f{k3qN$K*xEhlH-X$Z!F*#s(jox9<6^jz)vzM?#eyX4h zhqB2d81WHEXVy{?p`W2!69{wcdgI}(vSQB7?!6DXx8P#G@9_3v_$qW{Ebie#llk6S zefadCiQ0WyKOPe;V&=J zVq!)3sMdNmK7V&Nuy{4BVaHRvD?P+xL%QD&xBW@D#DX2vloh`DZCcY_k{@O8~u#A@Q{Bo#B(H$56J=6^KJ@x-`H^!Fip*4xrzHf7F&P2zl zO~baW=^aQK5oR7?&=Yo$Z#dZWY&g3SZc!~y6P}_pY7Q@^N0Rbtx-5U9=bujDfkabd zet|gkI7@!qmIrHn&HIi4<`V|xafG5MH1;U}w64YVKZQG`%&KMLYw!CVgwg z`9KYaAo5K!>kT5-koqe6?eLk7HA*cus*Kga@ioa>=SDm*`> zN~5XfZ9WA@^5jQpa&1QA81}fnejM?mPJ8ckKLb+8_CJ))XeBX6Ed^*Gzof6baufV< z6{jP*vkuS`>-zFKD?bq!U;#;GUV>n|{|xd2o<$LVFpk_7{fy?5+VMc6qa()<_Sze9|5tKVm(xmfxBQY<8JfXoI)9I0lM zHusL7OvH) ziZ+cH?teK8n!9M_g~AL!2~)bw`q^;r4(>I09zI!A3Z!7dQXPL;Bi)9^=3J9NQLSp- z-T!Cr3yTTY2PS|Imj+|cg?o|lJ#<;a-@O-A2v=W{mv^tlgBa~~%b;!i5^<8!|HTiN zbegIp>FY(OH2q*VjA7YS!V}hIp)8Rsx*99O`6?etwO_Bi@z{|2uHmu1okIV`#+ivb znD6VpF0b!lz#|17Er}jHmK~LU%Th7EFNg1WZNR)@Xma0u#X!Ye#9nW_x()|U$z*Eu z$yBlq!|K%1Sgy_M#%)+SbA(2Mun@XTT_^A|`N@qv?YNV}`@kl)kIN5vYsKNyrvOu$ z!4pJtI=X$VA%;=pzN3?6Oop5Vn{+vopaJIN#9lzhf?4%PJ%e2H+Lx+Dc`<_j`LaEt zo`{hjlwJS>1&8GhNL>7ZrI#vZkU-|&av+QYjA+(OD=6lyfYu^mMTuo7i zn}hX&g{xBxkcp|jCLL0spIkL-{=;bdiQ9T1={H1VWG!EU13)JlJdMk# zGNmbgMFg8m7cM@^v<5UY4$04(|Kx{C|Htz|$+N2j9QNyjx7&!!NJN0>RgxBRi9+%= zP)bXv(cg-T43&aL0t845X+EBpFDx*Xit=cI>#IaLGc_F6>*zR*WZ& z){~{%7v}Hi3jc?6`yA1Q1vd<}iqn0n8oQIWl_&~<$Ap~lw(Vv zCP%)lxzX8(q?2KzWUZ8S^QwFU_|^)QCMsfXhhv)=wepFr&G%iVOD&QjbHA>`)&#gj zbSJ|?hjllb1w!Aplh-~oYtWYF>i~da{(CESY9hmw=aFw7KXYC3JYj$2YOu)6V8=#% zn_4`_??^SADb&s#COo6YdcM4_P!j4`GKlZa&>@jKIHA z4@ciAHX4>UUaL}yV+oVmGYvH*3qyT)bggu$S)$c%Hn^LzIA_SAtmuK$)k;>h0NV**hcvqGr)i?Sc{1}_9Gm6NKNUZtpW z!dl+dcm3Uc3zUbeiomN4N z-g8HjXyz$iBD&WsdiM<_PcsLcq1jGS1Ju^}pkuT@$|6g+m)^F0Z&Z54TAP{ww=v~P zOMdSw;T^Bhm_2qO=TnbiKDGroCtJ}Ki?zJoaa|K&_=xoN%8tRM;OR)iXek4grPvB5 zLyGvB17WPl5&XjGrjSAg{aInh)(aF?8gm7Dct_pg!T5-R;{GqQ$^rS{Y?_G>6_Ph! z_&Q=}XN3)rOqd07#-#ba^R-eu{3JIL!_hCOyHk_bv@Xai^ z>kIf+R4d+~{PY!1?SU)qL-FtM&eHW2#gq9vdAN+4PpG;|Woxo;J$kGZD7=?*Om#fn zxF!KbrWu=pkzS(8q60_7_cLQ4Ai)-0&7DTZ`y!=2`VVZ|ZA(wOTij;dt^|EHn>2vE z!ti0xT-$Ekef!TbQrzc19FV*4I;%+OqvR^`JZnSmjD2Y-bb&=c0%z)q1q9;Kl#~U> z(6J=8t(+w50@5M$geoA1 z5}MKp9X%+$_oDO?iu5Wi^cGqm@P>0gAMW$~|KH!W-t~TCLBh4KnZ0Lb?>#d=oFLpu zP$qYs<+1Ci+UYGBl{4d~bW&7OPFbvq5h@MNTUyLmt|A837Zphf!ualo1Bre-yvV+< zD>o*n&8b*bv>+T>F?3bt5fqe73L{R$Ix#*K`Mg~ocn!VDgDyn;9<&Y ziYzLm0!*Q1I7U!KKm!3**Zna8|KeUrr@ts_G@n?#W65#JvESeYcb`^F2Nu;9BhRpC zo?8&i4-psa`qR#6t`wP}7gSLIre@V-MTP=V!ibJ7+1{gC9Y=iHp%&G;r3XDp-8QL8 zu(Sb(`bWpFf?dGQwueGhoyt?oB3C6DHjs1%ist*lZxtHU0GYc6hc}^^ zI}#c}9Y}KUThr@&&~UFWdx%s3ru|A@ zxvdR~(km3lq1voY%*yysf`DLV@mA>m5A_uTwa_UKO|$V+6^7JQ`HlbPEcktcB&xO3eG90h$TRJ0i!HIBYq~pccu=J9TnJAYp`(HD*qf{HiO)ZVb$^ZomxxUsO1Lv|$YLk%5JvJY_7<9vKyR>vw zwH0{QO+RS!slld~W2@Ht7wa-Z>912%qb_=R#w1K?EyFmWgf>>1b15RpIN<>ctr+YH z?ma;Mk>Jmwu#8bi7&$vO@dj%u#eq!(cYCLJe&nsAN2zt|ymCEgF>9lRGS4luOfG=x z#Qme2+0@#Gh`3L+f0#nrTxpvCd-;sn7L=!zG$!ZZl zZDEH2bBD>34l76Hwb8=3r}b~6r5!2!`U~-oS|aTHYFQj`2@R8+hv;JpY@d3EklYXE zk~8>(*K_merpHe9onfi~teu-HK5J0li`Il4O{!(pfqKAFHI}sKgz<)#nRX=B8Ul}& z1l@hVI;D3u#iIPWtg8{P0YCeCw}OrY=JnBryfN&)>{DGMMj^9G@e=li2m*)!`2nI> z;DIIa>C-~!u0(ks|4}vJXyVEM#s7gQJ+kLV{$%pUa40hL)54Pw6SA(k1zUHaG3aMt zKA*v&J?J-!QCNRY`rhbT;h;urewu_25aUWE>@(oZdS+?9f79*wn*qYj8F^4_<&EW3ECG5hV>2y`$pWOs83Dx6~ zR4P^$!I0>T@ChqBiABYwm%cW8YM`NLyA#U04lxXIZD+C1_V;pEOF7 z{GR-fCG5BUut`SxcB30zT6~@d@K}I}*2KU4gXls;xz3fQ^749royXCgvqGpGHeq}@ zr1(OXsmp2nPtsHYOIlX#&(*KeUdBK49%9n=^FX+aMlw_wM-poo?5YQ8F)H*49^Ea| z@0X^7=mCN1DWWbxSX%t2)?lCY+PWFZfthirOMX|-_aQ*6ofpO1ZiYcGSOl)nkD)($ zg90&hr;fEi5!t<&mO-7#R*3sq!>G6&;E~9X9Ei2 znOj+g+;Ns;_~qhkw0Jbox8)6nBv5?&eZ-t`UyQ=^{n?eYvU~XcN}sN0=#m25jVMsL z^%4bYowr_~Mu`QZWW8Meg-50A?Ith|2gb=6(T#v*8K+a4;N%jCoez`EO5CY&rQb=L z?Qc)_JYHLf6I>vcc&w9^wrc#KUCCPQqOjOxmC^;X1NnS=+B1-+?a)+fpP{dW&w`!OL5^*pCt z17!?nsW0uB@sTPgeZ06ZE}zy+^m2Ff_a@;H{Y8|cV2wFP5^92nz_XWmwZ~U_g^PB| z1+Q43J_*Jz!#uklM|i`=PEY6tgZSVq3d>rMeOv8TY0j#TFc#7!;`S`YMN{w-gMT3C zZ9RG8q-7OAH_SW&IP4|GkgZ}`y1uGe*H*y8q+}ZCF7-$Zv@XHk)48;{r{8CYN6p|0 z5^LeDHE&qhl2jQ$T0 z!9${Bl3g4%V^giEANh2IX&55dByGk*Ir%RrVXYAc73+GqJ*KXoCLOya&-JMc?Bfgl zETE@aUcEBvARam7&~AYR!7bWJBIj_G<&f@N3xe5V$g^Hm zQM7}Tad#vZvq}u@>q+7`DW0cLN6myy+ zMCEg+7_UAvIQEq(O$j<7{tlbl<2=2+>Mma{ccDi3K;`aJD_XqY$y^%smE}7e$}`LQ zDZ$#PZ$qQq&X2Ed}LB=S$Uh8*zLO?m!fx5nPuyB(y! zCS-PdAqn(9S=o2mNeLu3>As3&3*@oh4($ne zvgpi6N6v))`5`kn(9z|=m$v6dGOj^dw<#4=>=t1GF05L&>4K|Zx8q!I38+w}#Eu9o zIq15Mk<8MGQR&~6j}DjR3kJ2Y@P4lDixePh{n{yXSH=JcRZ6!2&`|%q3gXnK_QGiaLg)d*a!G8$-um!GMo>rfNxKu@riY zbDZ5tFB$0;ZX_dQssv1tvFg-ln%8B2j%t*TDc-2ttGqIYR2;+f9GF7PwC zDe0mc<5kk!XP;~NRA9S+$Vj!;^? zIl|;*41{=9iJ7;oXZqqv6*vN9ST^3E{hlhN^zDa$j#4jdVBNA{ZQuGYuDKNOZX3$U(wq+?09qo?m@CkWcS=O!ZlBW*>8u%1jiKyy1s08tM4(M#;~> z0eczK5kaemEhq?t5Dk%4^Y3cl_KGEEp0tB6Ky(KY#1!<>+As$JXnl=>q~OpJ)^8)H zc=b=%pY`}LcQ|X*7I*4a#wCw+eI_muNP{HmRy7eA#L-7aDvML9ACg|nQt3g!E>+4| zq*wFh6UR?sokt4i*=AL8NWMj=*^`C9iwQw|0V>iRfw@%{k1P0D$VraV=BnqBAutQz z!neofd)5Ktq&Mw3OsjH~&`I;;$4B9cwX-CMn{EwfgRFwE`bA8!AF@58UP}6%%cPFi zk3<(cZA+%UT`Ns9<_~z3R&@*0O&+iZ3BkUwHi5nj612Hh$>-GyN`d`K1g7;5Mr54= z@hH^WrcQ3zt$;fwl2qBBE)7Rx6l#<7a8v|c2={^Ujd#^?wWg+9z}n2-Bz|HBk@d2o zwpE9|7`LHKa(g%Fl?~I@12P=@^y(i~u^gjX0$UILqKprgQiqses9U)ws}>S>8`KJj z9_mTQ#Iq#}1F9jI*-BU}LsKM${2s#uXsHJYKd>FrdABhRUNviY*SBXof$&Jbf{9wi zOYEc>o0sk4($o8CZ+Z0ASQK}KMIQ=H3Q993pNB zZn5o?oblSbWGJ1!3N=+SKHb<1x_k&|7`Am_L&FDT%7nTQ&p)pM>UfJmzoES>lOtqJ z;YY!K%G}fKZ%TwVEX(`;+;~8SDC@j@9pER99%49<^v|MTpf38^>Ab9u@xEYHxe%$q zXgK_xT9i~s9@JN9rdUFT&6F;hyn!n<9)oSPCf=y`bBBrvk=SgqHhmM<$gr|a>mY_5 zc}uI(Zfvv6UD5-?;O@USfLIS6C^R_|tLBa?l*UxQ%t zNj%(m9TwA6$w<}1J7!1xK%aNtSS7a_&sUKiF_)=!-RWChzf3ZVM|4OsOxWu$m^^4j z?1Q8*cYMeZLoiSQ*_hs{klQ_IH^(=vRGKc5^wa7N#jt+%jbR=8WEZuys9SE~=UbrK zxJDj!xz5mo@FOsH$AqNz=|)F-lZyW7E3LENR9|Ay_`ggvwVByC=xHVBS!5eqe+hWIneUnZ zmI&MghoWKcTH8wEfwf5$Kq=;3mmkB{94}}U8qh)v!dfqwK?9%uRP#R24a)_XxXp<8VHLvq$yEfqP@0-%0u)QF zxsSxc-{5}&`F&*-MNeb#gl8vvi8lm@6=V)M`omoK(ND8B_;4m{Z52>^`C*rG(N2yA z*d?f(6;katJfCJXP_icA>Z&Um{W;e$nonURGnP0LZ{8J_jNT_hUhWO5mo8+}Zt%&` zTHr&ue4hDZX^py+%zGVqU4Omfrgq+Nt9zycRB88Ud)l~0-mT$8!4u^VSD%WTxL-x% z;Kkx~_wEQ_F$XQf%;6@h)Y%oZy`=lY@JC{k#fk9f{zrdWy1K5?mg1&m44Ylgh#W!t zL}FmHT}>d9Bvw*ZCJP^a>7207hvrEL_)c*TPkvKo)GJ__Y$-LkpE-tw(3{l8O+`i6 zO4|S7@{WD9pV@H2txP5mM*{U~3$9v61#qOCZyWKkUg3Tvy(N}4)8DqrJ+UuZ$o+{v zV6K7(ZvlUhLcCsCGulAdWM5Qw--B8eij;Na?0@HyPcDq)u2SZb75LbeUv9zSy40#X z(Dq4mL+@Az?A$;hlr6VlGt|!J5MW+UF>%uPm77c&vKCf^Kmu*9{6oVRX=4rmSCK@)b4oxGTQ~Wvd z@qGmwBUfHkr&%XcpAtI3_)#5C3Zee^Wn1B41=$!sNzdQyNv@;Z@Ymc%AJ)MhpOJcF z1~`+R8i@fBno}+>X~>WDf=+uTWZpFPwsRKQhN=_u*VFtpJoS8g3;Jg$g|>a+2kryR zc=W1PnF>k@TL^jz9YG#avuhO#i|*N2v^NcX8hu=2@$w$GAaW&z(51mA&tH?zjs55y zLC7MO1>pCmxC<9Jnr+G!@+7?^J41c!P342=nBOu7O#PIe9j+cY`c5IIz)Mxv4UP%pIQzru+jdvy9VG6P>7n$) z?gY^+A#n=Ok`CrNpSDkCF#o! z@lcC?%8pm6VAs>Kc@2ahY?*AmRui?+&kKx_goFyO(5g}6j3x+L^^ zlE+b0DJL4}7VUFdw8~qhVw$IwN*33ZzZr2K9UZ57aAb?qnagQB%?`1ZdM9FGP=D&n#S&U#{Y31r$@=X(_us)=0t9DGf-!q|@<|cFWo?tQP9$Y+Q2%uxH#(2Nm zY})=QS66Vui2e@y33jnP(-gYFa#&UyI4!b?+BCno^d1hSZHRiW z2VH{b_C(l0V5rM=L3}jVrZ)aDp!RE6|I;08)p0*;RjSS*9TK`>F)|_T!<0S(4gjyM zK9%a{FbBCirmZ>1UuCn8-G?ic#33aHOMr-{?wPTXxW>x}hCZ&FH~xk!7?u2r zFp)B4L*_t7#y8Aa`Yk%#@UZ`6UVaE1M`Q5L#5(#tx(#w;R#vjs0O$VhMS~PgRw|}j z!5ldY4u6FQl(%<@sZrh~`_aOhODS(;xnL3|sy4vR8^InN+q%4E)RHXr>T`R0s}jRf zYmCo330*Za*3k#RlD>FTb;Q+(BIBPK>N z`>;x=_5L2p4Hk?*uEgqFoT=sO)mFHJs zG3KvM^6`Y6>J01Of>3wwciFtW5qD&*m3i3*N8h&T4)F0MsZp&9PP#c#ARD8^YqP-e zA%L@)@~#e)50*3q!vlm+fv{i8n3Dtq;G6n^KnLUJOHq=V{#~Z%9DV=P+eZv+!~QU3 z%$QeI&FC8e=LR+y&Zr(I8=WeyA-c0fg0CxR<}1smwc;d{PYme@AZdM(Y~Cg8R+*+% zt;mY^!G6@k!wU4t;+$cXXpHm4ey3-h(mdwTM7OQtaKbz7(N9`frrhbLZ5HN#!MUx>WRf_~m#fGYpU3 z9A57VX_f-5-`u7!%-Mg z55&b&up6DRuhwBTuvz2GGtB0v#4afDMR5w}R`TBYqE#B;7}UYW(7UVWmmL{?<2twj znTOJDAnpND9kVC#Oa$q*HHJA~VlJB{t;O5!*RIi?Zuda_FSkVGEF2{nhR^zP9EZpv*{H@FFPtkRMxpf$ zJPTszvltRRtGx<+i?K8f0r=gl*Fs|jr}h<@@e^s;^Vq+|+lr;7ZP1*$sI{JjumNm= zg>2;m-7r8|zEFpieT{@y_$;P+u9wdJebo(3Mw}>F~(4Rlxbx6Q88~R&C|44MtT0>4h_)nY0EQ^+(HOliC*W-rD z%HEdD)g;%4be2qF*2B*nN(>jgdfzMm&a^6ZbQPNrxvj+!1e+VS(l_RwvU-w-v2b=P z0lrI`r zn^o>KW^ku@F5cqx=Vy}ymWrN%8{029G?_@K^o@y~Z|Bm)ztC~Remp4QPhGUI0&1n{ zIQ*t%5KjpJj4!u+{S$ind(=%=W;~YIU2P+(Ok{hx0MIo`{>6Xq??J6^0(S@<4|ozfD!t@I%z@K}iE6ALEBU`Rr#qjxV=9enKMD8?M*f5*d=~ z_v#JQ`FXcKSL-bjh^%etHz?*KHzEs#7+$k^nbDMj#a7~1%AbE8Hb zJmZcSkIDkmx(@GbvJQIFES5BVZEnFooqN1=3+njXt-lS6G>lLXo;g~5FBX2ko{GSF z+=VX)`><<-js83vqnr})lgT7jpG0^BRnVqUpGDp|4q0jqyoHPnl>%6msG2&1g zz<~c?uqg|8CdB?h5TAz@-iZP>Ea@z~f?@=bSVKj9;U?jdQI$*PwvGMccm!{11t%A- zTve2Fr7z3StfXbR%Xw9%bc<;^|C@aDS7N#3Q_)Cjd?dY3yBSu};bwkJqQ{=2OAvsb ztzPR&k73eR4Gi40`B``wi^+88mTw)xy)&zatCTHdlfePrz(Ra{PP%k{;94dpo^&fj zJOXg=)C?BC4&>SkqFf3y6}#Nie8*uS&rSx{7LzQ?GG-QHRwcLuR97(Avk?;KS#OKM z8Pd0^y<06+84X4Sd~hgvV(rvJrfr`|8r%m z-z;YjQY_+_IGM=JQzM;_{7F{(x#(_H1$_KPlxiI-Sc!3_jp{5mPiozO^a_8Y5j!H? zk*}&snj6b7w|on#2wk_G!;Em^G9y6ubG+WXF+2R2dCw^7fm@LE6zW?=py*-Den?$t)>5%~9A$dC52gO7KOSWFWyuws zK_|{fM1C@NSru&jhk@nL{rbXzE-EC^zphu+q8Kdc_8?u6T-ify1~PJ0?!raM}yUtdV%$AIxW6aYGDgEfN$3XZ3HiJ3}^94MYMOlTXVDqNBQ#x;}QyB z%qQ4BR)`KS5IP=9pC49mgk;dr@3Rvwb60M86ZTKM+;IhDuV zlQ~aINl=aUTGhdTkw0~wt`d9M^CQaEgW&eTb^EZ$Sb#rJ!kmmEVFKvmH1KqFg0}w2 zkt9BnB-|cXt@tN`{b-@nD8vNY;N9}nDAX1P!9GqEeI6nOk99d9&H@PRO**Msa$%Pd z*!wJm(!J!?s>vk^v`5-4iHnP<)#Cn}7qK`}_XE#cWl+Br;2v_(9bxu1N~G1S3euc1 zzAgstz9??oyN!HfZKYQHZ3(N06{p`*MfHg%OJh~W%!a^jIcLc_SsAD7JsKT6hBk7? zD2@g(48)3sTMg(=%TEpR}CNKP%`{7y6clspm4M|R-(MmJCyMh{HZ z7b7Os^ZQm5L25;hTZJFxBSX5}g^iOL0gA)JHGyQYU)`9bc_Tz=Wd=SVsQDD383N=8gVFeOsr}5zpUn+cEq7M= zT%I*7w&eUQu*OF8RbB zMygYL!WM#0{3?3dHSV9~rb;+?~07b4cn@ zyvwpp8g4h|9=HQINxUJ=0}p+mKOS^DBl8|*GExxqMCx2Eedr1^L&o?7&Mj#8hnVSx z4j4W0rR||!{^9CMcC^611X2tWe_&woEjujg?a0v`*#sp?Uq$XcO{aaDjjD-U-;A8n zc}mPJcbPvRgQGd7>W1=Op*qA=O4qsuips9={wNO4^Dg9p)wm>df!2TL?N*OQ^iEdb zTxKBy{>PB@_^8F!NvG5D$eOg2S!0I~L6vE4ukWkXVB_1WnmJ7nLp1A;|FYN}8F<}0HGW8Z5^$p*` z+sMZY{{rD6pa2pbiBj1@2L@d^lWs6tkt_vJ$nj`9s0{sz`ONDTx-Q`@`xGvUSA@-Hgf2N6XfU~paDGFjCJ(9$Oa zelTrq>gBmrp5xMA(d1K>Lc$-(=Y>bleF_k8fup)Hs*Tqfm!&GJ!C2a<{d`f6R6x8B zuWvZrUS@MQr_N5`8nMl&XqG9m!(ys~g`3J@>NcG5#=VJqGbIZ-EFIEyqmo<+QI5$u z4<(lh<_AwTr{M(*NF{52S4gqXxkEM+Cop9fE6Da`d`5#ZHW6WEe#fEnFZ1NY(St|a z$awJ4iQp3HWw?Ym9X~UJg>I3#cMp!mXl9TOdzjdweuo&*Sp^}aPe$sLtJ#7Tj3KV z6&qi{f?;r2Oc$p3Hlb8u8!@}bsC&DInE%>Fp4goOW%wc|K?1qx+>JXouu7l@P!smf<;ch+Rpo5#7aFZ%>65n|J5qh5S{g7gA8U=u@+; zrzxW>wX$`Ie5krnonpS@K?BUy5a&na2Y3kaVSb2By5$fd9i)Mny;rYgJ)v^&< z#Y%mwgAqL2>%0vCx6|S=le;j)5T`2-3*xI>*P9*gEw2V&nI678<5UdbY((u; zhf_VHfa~q32+HFZKSPZN`sEAIIt3OTQuQ}sgviW9aJu?%U%8ic+wRwbsp_-8b`&+96$FFf44Q2c6wgx`G&f3j!(ko z`0f;vu*%BCLu|-Ur4Tkyq)ILIA!a#G~G6MbeGL;}?Z=_Q=JMt_A}^sJi9 zT8$S7)g>)Ad5}PDvZW9530;4q!SELuc_@ydPgR_s)YEIZfiE@|zOm|iB-!X?fbi~x zI$Z9=inhmV2QN0>yt&+q!z-tL2m{4IIS-UkOV`9rocnDpPui|U?q5{$tIEV!ty(b%X9B`xaZ+CFbrm$~7vQ(5B|1eqc z?osMls?=e)&kN|p#2t7SnN0l&>UQgr93Rjd6CeB)?-OqsoMxxOR#s|o+oZgv!lvr5 z;L5c{{OE)!g`<+?>~9_R+XNT*{Nd=*mxi?-$QUp&VN=ELgzqBHiC5D7$h|c?MB!vI zQ8n%$aP5F1i^5@pMr7mjXrah+-<~fjO_)!zaXj9+X$8BcVZ_GPfhT)+>e70PzlCHc z(#0XLu~f_5wbrK|uXSunPNQaWN7Ks=K0tJ(8jjEf-+Ui$K5CX)(WpN-M)d$+cv#Rd zzmv`w{51Lt!0W#tkCPDuT;!UaC{3U07!M`-nGQY0$!0_6M(_BwaU1cSMG1OWE=hG`m9}j9!)K8lha*q}|c&7(%?nQ)Q1M%Iwt{T%>&{TqT4>9#wJ$1ub z^Y%0L=*R4rZgkvPBDYx&lz(YBH^rrY35wjnj^vrdoqMqn8|#R`W%W^r4E3+H^1Na4 z@g{}SXC)lNYSBQH{6oF&x)+)E!CUq68!7uVz;X}#4EJN;7CEN#=!^cCr6vK z@`+G|jIcF6-1CeukGJI8TLTrB_r7e6+^u;7u@bSJZp6f{bu&yUg~?Vz*4jO7{z_MW zmAHn@jUdR*Y8c`(g}uK_yLqpun`+$uqvnkPk3>rx=~{x^34YL#njq^6LU7JZmG3*- zdAkkr;6fideF{BPqAdOZ9!D-4_Vn=1GUC017kzCdow+8DcNxgQ%>8pWy?EcZZp}H@ zrlItqSB9rujTmP;Y~o-kG~d4&ASln!tHq@@QXp0J@%;5Cy|i@8_M_uH2(_-<;nWs6%LETxT#ZVUycwyTM=KTLh-qP2L&Q zxHvGqxPOqpGx|%XRg5s;M13&BX!=$9G3%~uXIknqQs6CnolX>@CvMhfYN-!*4qEAm zH|8cZAe&}34~L2cAvOGFWP_h>El0U6C0B3GnM?s~TZL}|beab)kJ@H-+X*0OjBoX8 zO8MSH4n3VKLos3Naa{B^lQWxRvHxr_;3Ut_cj>`kuwU|`PaHGlV?l~7ZaNVcFS8m=Q(LRoB+Hc8V*J;P0^sD?8=muXwnxjCDU!xb#2lVu>3f&m`Lh6|u4SSla2+?-cNc!Jm+!weSB`N=7P8D?S4+oMO1KMyuGeCwsZSuw)@ zbx@^w&hLJx??#tor-k3SdtTI{JWwZNc@T+vo3&$B6vbaZhG6V7BPW!_NVGeHpD6W2 zc>+$(2T2D-7Ga#8k(7yA{RjQmUE8= zgZtiO*ybz8n)&mt!~LFHiEIFrZ+GfNt-qc7aj&7uTNY-y34iA0j3tr%5rCTpQT}s0 zC!y#(2WR*!WCwU`y96-+_#A^q3OwLMjf5Y1Iyt z|KmjO(s%+{)kCF2Uu9zE9ru!1sOH@|eAJ(0ht#vkyh&3dd4!gweK915r%DTGYA?%u zKu>jlh{FgN?m=>TF5#iuK`nZB=lL@#kpu$ae&A-q%wLUwdb1jZkNpu`wc4&aHxhIf z8Q>$Wm)7eUCx^14U%L#H3*5S`-!z$-PanD#>el2~q@AYxSo;LhsgsZ%^V)_3EfieSeQVzxHhk$7^ec_X;MWpt3u2#)u>a?y8MaJ2HWg+o^ED%QnQl!ZYn3%zM5^Jc519H$=F^Q| z!$Et?E4))#I{y9$;?wv}@3zZ6KZ*QKeAArkH?;^ST@zQTx;z_RCTIClyCDKsVK%QNirMBz=!r$A3I!=m1Z}%ia(a&ES#`j&oSsf*G(e zM2?o)nGVG+%gPS6Kc@|u4#EyOXLi^6X55+|tb}bLz=Ok-2vHF?y~Q08SiV!UWRVH2 zISUQby?-E|8swUz)R{kDayb3I9_X|2GAuCz`6srZf^XB(22$NZIi=!6%Bdki2&rel z8g*zgn+`SRSqR_zOpkf+*aIN@=^Th^QZL=C#yzxDCr{~DiSE$z3NK!6AdXjQ5Nm;W zI8K0F94lKq%>IwO0@Q)pJI+KkX<7yTp73OL1Cs>vb7EI6?&~Y1Eh;Y#D0a|UaZnJ5 zQ|9-L^lX?t{I-HyF7Yw|)Kg!9eV8J7MTge7o=!_4J5kaDJcEg!UH*I|to@JDXI8qN zrQHazg*1s{kysj{i)MonzZz&UJv$C@HpLqd=esE_qZln7 z&+h~k%t2`c(`T2WGj)8ugox6h+q8sI<;1Vp-4*zQ=x-j~-EmEdJePZaLG$wRU2wOz zE#5xI`Q!$YV{T<7tsPs#Cl|FewB{q9K@%d!h(zWD4=~Mixv#?(j{~#@04$`0jm_8d z%syk|-Pon!%wU_X0*i&5W{p~+sKmZS#JQ+Z`o1(8q%|Hy;Km=C-te_n^bX_n&*yL#-D$`{`x8}{F4M& z_)(O;M|S@HvZUGl;w|U<#WP;E4P~Dk{qO6HE#>X^h*I0i8+B?defkbRAMq;V0z~Oo z4R7l#b^A0tF`Inx>5th;+lEqE;+O67@+A2w`TNs=<(ts8^)>la1>fU~=VRGR#L=V^ zF?!oXRIBAR1#4Vee*cFDkx@~3&Hpo%UHrgQ=lg2se+Csl;qTTOH0WfQHhd<8r|E|F0-*0A;yUEk?mv*WVkxWtBBBK)`b{Xg(nA?R68)irb%a$i4foC zKco2PhYExEi4hGVj#rdx1%I#DOEqz3o(LYU^ZF$La0jvGghRi>>@w zWFoP$>3=j}lJ_&dBmU%C7jZEiIqv@mx*8lMxVcZ1iqP!klZ2>T7_j##)-2_W36C%7{2UUVIWTu)G>nIGLfy-|x{Lt&n;9=AhYb zWLWfS7+o**>0)>4^+EA#+jXs{eu8F7NzU|-xMJe&pm|;rtoVp zm!Wh&`lavb@4u}I@OgRSjotpq$z^f~`7IXoSgEqsZEa4N=8|Z>drN!iR=7#4eQo z>lqLJ@%I1XmK!|#fA4n=cQQfB_ZhsIA29!Wq&rQwuh^nV{&aRA!H&zB{k>rHZzujk z@wXE4HSw>{8>zE_yHJ*Ye_ep`M|dbq=l_t;U1rjICiP@7v-Xt{#8CIYw@cQrPdOCe%y49KSM@`j@T(j^JzBN)J5f`xILHqBIX)yor z4}~e-Gcmp~IzFGgI#uf%WLFFQ@5g27*7&NJ*vK5eZmpzHys_OQRJ=9int>lN``vuVQ@TA2Rxg4!DtUdD85pZ{nhQZRI_oav$_tEB`gnkZ_Xy%*Bb34-CY9XnLe? zt^1OOevyrv`8u2*BsR}v5VowV6C1bQUL(tAYrtliY3IaSg}B{~!eU4NtMmEkl|<-V z5z(l5^gkVs%quLa`bha6B?#o`tKZ}k8F3x z@6i1(WoYt!jH2s={CG2y8q@kTFrU0P!A+CX|9pCWidrxYb4@3&x+Vge25hr5pZ+ws z{f%KfuI>PV$E|N)+jt^ikZP)a?x^T^$FsTqA1J(&@AUK((Ke4APry*e-8z0{gk?eS zdQa{wap6}%i3s!UCGIP)f1vIIa=SAglW!A`SEZY48wuM^yBkCjI&$h7_I|mK@`ndX zs8469Dl7`NN;w1M<-+6{7zR`{7UWOy7bug;jAB z@rux{sP>)bHGt8K#p|3nl$q_McGRp3@pAT@h&3K8YB=l!U+!-Yq5R;!TQKhFStj^- zFZ6P_GAy6`C;A3bpvR$h<+B}w??n65HS~3EKiacm zoXD5n{;Gp~?~4iM8l~u&!{tj?(gGSv2t*{Y4Hbv8qOtFGWxW)|$d-W~eeWD9DHFwDS^kxG@ZR+y#Uj0G}=R4}6yhaP+_BLz7=co`m%SGhPd%EA=`dW}N zMKQZ2!}R3P{%j@DsqkCbi*w>qnFkSRlvTH+XG&(5xK3;s5DR3}*FOD{NGz_@05n!0 zSA?Lpa@!SpiJl?%-q`5)<42~iVdTiBlpE6`6fN@X+KaXR+g^4Cn8SasvwBHJ$U3k1 zC+c(QaYmj)7zvcHp+B9U>NrL5i)$}{s^XfU>rlU4WqP}hzWf@C4y$jkket&N=Xs3| zVO&+=Cidk|Wb;AdAET@<{Zf3kBi$~DGj%dwD|Kv)=)9`>BzoZ_KqZj(r_!7qx%o5g z>dk)bnri_3tai;;y@IN1G`pQAYY+d&(D5xtH%CuSpEM29prRFShMivhe;FOImqVy4 zawgdt=2fNJo5UzadD=2Uq)ss*d4iH@3X$uTi1|#h^j;^P5oOdFf?O1df)nEH^qgI*q;{Y~rz7w0A)1DV<$*ZW@*eV`V{su5Gu zOEk3Y|wL~Hw+G3>WK0zlAIP|GUyDEqnSF~%I`ke@vu3#`>a{AMz3!g$QO zk5?)jPvo5Ap45*rnivxa(j7Yv)w3R^iX!PBM9;3F;vRD2d~yo|vYX#hDVi~{hoE#) zJM1|z)|##4$4Yx2EPMR81A*7C@}ZOcme}X99(^m4FI}}b|Lv2Q?)?@H-z5*9)|^-{ z^6;kk+OFUq);ABlMw8cb+IW<|T{CJ{Adzkr9A8WKH1j1of%$Et^7=l(wDX<%-TtW( z$t@8lZw(fc!%Z})tw%4l*Z1a2ys2~lyv1SgO^@UdwRBt_0Qt3WWG&b4>8LgFJPQe8 zG@<35v3xu5jZ`fSaV_4dx2Fqz0LMM~C59dIlU4m@4+2;FWxncF5V zdVk_bsn;OHxLuT(Vt0mnb>p8;Gg-;4=f>BWS_RqpVOq*BG6P-X6pgRSbxEpbJ?9$< zL^I4$$j*p$0|bf>l9M2nH^P|a&IUX^NScVzYvFe7T88O?=W51TpLLbB!lohdUJw7W z;BF?@(bvL%1r!$9$_W1bL>}>EnxcNlz%SmK&*^rTt0}W4)J3z57qeA_-FS|A3@L2gD>`qI35&^2o~)6jMvxQNNG-8#U{R3A%@ClmAZ1{7sx6&qhIsI3IIjO z3@i(RdlVhTDxxKTltGBgsuZ5g=K9agwM09PPTQ&5EOJ#S@ zx-G~S{fY1RRcqy0SFI0uThq~ZC-+w2W}d05N?mL2qaSmKGnebVLXnB{TF>y+&F7>auYhnjyYzD=I5YM2=A z-!n-?r4<%%oBT%%=3t*wwx>#s9D826`d)O ztdRGU&s-=x0o&Yef)BGa?S+W$c@RP91>cF<+}1P21k# zSk}{l)Q|t;U9MfptfRD2NrC*zXY97c{)El?%oNl2euP6i=(&;H<>}Hi zF|ME3e!--87)&HW`8u9>j&GSCuID%R9+!kEd{ZErUZ;Ozq3aE;W0>LT?g+&|SiC%S z5`Qya&FXH+WbJC=%Wi#;{JF2g!N22a&DVUP!w^fM|AipX(9C}*<`!$LXa zFvpDzBQmEM#;~z{pX>5Iygr}b=eIxVk1n~`u4piGhU&fNj+UXGvpq4eGJ1;OY`ZKqRs!Ux&nmqU>9Y-u)ee!(A7l) z2GtQ(%uAt!=gHQb^z>vXG1r@Y4bn3L^D_{RGzG_=-)>EroNe72p39e{@y~Lt-XThM zmTUnpyq``yx{>=oulDm7pa0}r&cBa>abE?j0s$W14Ln{wZrGH<(JJ|YU(J8eTQAU~_B=nx7!<*F7l&O5vm2s0h;e|!7OB&YiESSrXeWR#n^ z79pIX`&a+3U-H?~H`Q;a7J%MFeC;J^k`2qi^SSq@29419!(0Purf8EzEGE!D3evA< zUFq)3&yMm`f>&Nsyvm)+yeyBJHYbrkOxa%$kQx*Fro@WFLcq0%1Zy<*??2YaqAe1+ z9r08j6ZnzQR{Cb zTIZlQkCcgH6Vc8Vf)`g@F3KAM4|*+swvgnyP^r|#^l8_|lvI8D`$s`201EFRt?J3w zS|{={a=TSmIV5S8mn^DUeP?>Moxk;>ZwSkAR^z`po}{S}>Pwh^co(9VE)AoYJ%HaA zJ}kTKc%C0TB$dtd$UdXuds*8rua+2f@uc03ALUiTP9 zWg7dJcCFG%ch5nfpdWz{F`e;plhu)LHluEsj+@MvHPwK24+5orjWSHpHGFB%_sq7^ z#DJC4+1rsIpkgGEF;g7;kAVJiK|W%=Nps<-(v;_c*`#OVnUN}dDxj#ONzoK;c>cEq z)F>|NEgvqwa!6SNmrgS9^gnynnAE9~F*;S5fp=vRquYTi3AJ^J>gyfTw)P2$tA| zzulgyF{j&B<6pb#a<}bwGG`^N{^^QNh{A4cyMbHtivC&8oB08k1Ej-Fc7t2bSz<)e ze|8?c!Je+cP7UY=WF>F|!(Ijmn;ILVb_-Av2Xpr8R}qd3W~<%tP)xnk2W%5-&g7p%GGiv!2X<*Y!3Sgk637PA2#x~(Dwet+SGK0Qyq_l^s-1RHVK zL}@ck&oZ;C9l|MzWVDX86&dw0Ivfn-X0f!^bl^XR7(3l@FUx#WGe)mHKb#eGBXF)w z=x6{O#MYNOeU0IV(`y-ME2e{J&T3KPfN63Bwdf$6dS2av)k`uvbl5X~xO=KAU70lxVxiyLfs)$0mq-u%Q3HDn z@DaCzQ6vOE7T!GFp$~iMLCMr9h_F#gf%Hzj*i8+LIui9D2ZNM2G_~7za7OKjdaHg2 zz4%L!cJVfhBUUq`>OFd{loQRZs^8#8Wc?Q4QTeLcU{B!vFr|!uzVjA-UOB1~Bkxoz zF88~?yyPjrf~1}=y(Db_QR&w;Hnt^C(`#QC_~HELjx>#<{{a2z&%XI{!|@TvJFs;$ zG$PYTt(zKu)f@_%tidkqC?NiiGiWH$Yx}#U!r~8qICb8E-P^7Whi+|9WM(25+UQV( zU??TR8)`Zsk695Qnkk|)RiYL|a|){xB$^-QVX)~V^=lJ2x;$mmPB3bV?yC>rQy3g! zxDAO(wVL1894QYgWJPc-_C&yIVv6#fn(8U^aIM0(up?@-^R$vFm_qVuT1#A z7^5DE7b<|?CP#FghqBl)m86Fy8F4wfGL$WA-ib%rdwgSG?4Erq8t^*b!tP2>{^0L) z<~H-a?dd9n?2)X^cOK9K`onRs&}fW%m))pt=x{>1yg6j62A{J0VInS4|Fqb@`d4SI zcBm+@=G;2=eY$&Uz*-5PHo!*aZ)LITTSnPZX|?Zw&bbRdS3KIS&-9^b!SUaf=n9z1 zft#WcedaeZkVH9DeMT6OFd#x&F_yoODiz6r$pofZG@w~6uQ;Z1NrIasx&>o$nKT-y>OuuahGiLxX#W=HlQ{6O6|Q4 zmC9U|aBtdpW(TDd-!=4ueiwdw!vEph{rh{L(wOn+I#k4&YB`o`rBzpHZ8Y_nSH$w6 zs&L;1G3b;*Lh)Ly0X_&TNNRYvM(E)qD_5x~C&rzvU_uaq<_oBBjK6m1HsHqz`~Byb z0ltwdT;m!7{;%%ZC0r4CHM25u~6*#doIL7bmR@?=Z z`9;;%3?3c{eC;_;ObzL87W?qNTS~bpeV+KjQlUL*bGe=2N`d5Cr|9G1gCmgKf|p=X7apg<$D-Xzp8K zC!Y~2GG3fvIg?L-J#Q*y=ptWUYFP7rseVM3%S6u z?LI{1Ce-$s!d)dJyZSF*owc1kUH!RiRpS1Z$(Ttfe@*#&=N7uoh!W5;>^gka?;lcT zlR^(2yA0w4Zpl+~2rx2%bjP4Vr6LMvLZfNRU{;qkC0MqWdo>%$-yjsw};u^i?Cq~wbF~`!`#tZjq z%ae5+8t_h${CC|u<5neH9wRq|2M-Ha%go*Y|51?P$pp`>L_y5{+2VhQ-fz8H!&+Xq zXh+K}oQu#HUBFstliw*L8$ZB1^@u*A)o=3nE$DI#qGK`wKat<%+hTJN-eRo`w@}eX z`TN~}=|S|i80pWmt^;%>#AQYR#g49W{&p@q6{f5V?5M@Yr>)INIu2RjCycAL?Yj6bo0(G;KE zA|S}Z0d0lL_~UeO|4k=2-j}^4E;nUMgn;twqv-5!Mw)zWRbz|JNv4WKaof5v4(yMG z+OXu!i713nibWu&qin!}Qbl|KMdSo#)spczN?pO$#;`2IwTo1c5g`1+*2c`?gv&Hu zK3VwQC8SM?O;;*;kQ3k`H(OEdnK`QHtJG@%*aK{>pAPM}RLY|TU6;Npx-A0YTG;=1 zj?Yd>6-&eL)j0aRk!}sS8nN=w)yFn$c?$5GhV$8Ej)>rvKiVIMrPFm1Snn@Kcllb_ zX6hPZ8F8i${7t{}5gj`Am35<`51a%J;7WFIh^=5@En+l}k_u${<&QiZHlxRsJ7Y_f zuN7^)=g>=V=+ew#~nh|!kf1LS~Dd^|E z(6#Zi%R4+OXEObXz^MnpKpTqkl(T;H6-(CcN; zMase7me|3bTX~)7C{&tm_tFCGqAc;?#1~5-8%&?~{imO@UoOe`vUSS7B-S>K$eNIHFtViFZ?@`1GlD!tLU{;9tj!mGum5GA9j*)<%zVm37&9 zh?SmXVsJe-k-jzv(IS(G=IIl49DOvB5m0=)1o; z=G8Q4?NpV1gW3Q0nB5xiX>_l&9bC`9ytoDE+3_St-KE77ly3`q2orJG2c-Eh zONKYiT!xSEVtBJu=_P(9m2mEBz`URhR>3RVVi@J>nPK}&*>0}@0LzHO-t+zk7KVKjj@Kx`;zwT#gFbq&_8O?Gx__I%vF zyZ2H13n^O71SHAt^e|V*Ub4NF16&1;kE?Lm9}LE=-6MtQb#E1A6@hKYRv)?#(8Wx8NimeUARh;)-ut{hc&k)T--<>3ZgV z#$Bu_4mImW_QI|Y`q9;)OC;WN+s%5^{6vHo)_7f;-Q6S{mEIKnlS7GcOEoR2|dWX$YM@*NNA}W=GH^Y%UTrf;NWK5S{(GD#baU1&1 zINLswqe}iJ*_`>ZaC{qHl9u$Vms7naxe>*{fcUMvT2?Vbj9&1b8PsO8 zE84Z-G?!p@+z*`%30|mjV|eESIIip;Up4=K0>X8Edx@TzuGzV5dM(Eu>$gY_ISX#w zIAgP05+Y_A1am_yg1IT`2IEnmJy8)ZOhPPf%O@tplin#CY%J@uTTe48bA$tVSLzAM zLH&66Y@!m~6N)rv_>nQ2LC) z+d!-I=~EpULzh@_m1I{QMSo*j8_|F-zP+A}7<)|iv&$duk28KyX>I(+9k?&p`3~HF zR9QWiU>m-JXp)Plt)uXn1gXhc48Gyw~=P~@4QclB2F>Io&n3(9|?0uKv z{5H2_iGC}wvMf;3CvDOh`N=15%Xxk78> za1XGsY6#9mMfB)1HeKL2O~eDccvJ7&N4x^dx{?dR$Mx^l9=HsgpmJ;RKYP?~chUaE zF=soh(3c+uE_ew9?)E@zjPTZ|LVOY*VczIqT&fAl+W3JlIQ*sDexS~7s=%-p)99uk zKAhppFt350h+w`^8CeJr$yENz3C4y3X{V$+$%*QjjX1fpU`N66Di2S_*wFIYgZR+- z{d5^VPW ze}L5je`;#D$TFrv+!c>|Q#`XdfD6ySWv&)2a0-t{CXJ!zNWJeXv z1-b)C-<1fkAU%01p^q402`+T15@*1a-{4BvA6HXu4feU2hWMP0SeXPeqc{7+V`kIl zo=>kHn+o5-YlcXSDW?T`p2}AB0*4UWp#smrob#-t@`=Cx-|1c!6Vx@_V|FMdB0V^` z>oE3NR|?1(jE8u4DiSoMXmWg)w6pAIh{?nu_Fruxxe{gL(3ev(v^;ASctU*b$2t*; z`GDf&m(Q#8^zGFj^=T)JUYZNWZfG*3sJY)67416;H2RWU$5lkYs#$R;(;ELVrl?Or|0KEU|BRQ61VH824kXbkz@6Gpr?}lhIsFC$ zvns$=Bh&#N2OPUOsm>6K`~zkd@utgMcwsC8?&Q0;fan%&5;8*i=Mf!yiAprR?9$X^}6vY(YS*A0r<%rpFn7 zbA@w)BXAJU3>sb$j%g|{#OxxNf7+<|b^#W2hRsPV(Xr&=7diGFh?8VEnRc^(wBc^TP| zhpg-*j%F(dY(B??<;fSMKrGQH1#CISAggUYgdbE$HiD5U^;kDc!W4vG>?r^7hiw{at2`Ulqy z8}M9w!~?A9dKqsi9#vDvE=J;6#W*vk8KHbS(aC!VS?QjP4X#82XE<6|ym13ei&H8> z`W^l`NI-Mn%IaZT#{{4X{t@xE z{9>8vB^kbPP8|mWeW2vCOeM4_FbLi)D&VV2Y0^QRUO73sQ|vo{dW8?n-9 zS~ZJ)Y$xWXFOo9KfjRk9|B0NUQ+x_bcvXnfUz0h2FFW>$6$Lb5cJv+#&`3%3RH`q; z!zDTB9@SG8N0qH8adP&4c(=C3&(`t43!p}-toki(JbGui!l^Rev<0+AOyG=^{zadD z)O%SS&!s@g0E-z4G?^u{+aJuVb)Q30(-EJ?TPm#$=mhviR2^M?P2dK8NKe=QzGwuL zf>V{M@#&1XbQ7Ri0e83c=!a&-h;S5JhP3uz9lUl3Mz3^>S1MS4VdjFPr@wNLfGE1% z+N>ST(8)yS#seO;HQMZ>WYG@u^D_X8WKV=yJ+d}D+Ppw{`&$i|{(eVk>2!7zXh%AL z>5{~@idnYGrEAJvBf&RZy{^UwF#9H~RopKmgdJP!FTO(G-HV=0cr;3(MGG=T;vSmB zsYeq+Q-EAY?{@F@<%QH=%ok-vxa;hvQpj{c9 zNLON;T?x#>MkPfA%Pt11=!L$FOJ!{B-Dtyj+T}SjfO=8M#UBvncs>AlVapnTL?jPG zMWGi3J+^27b`rkjJ;y+MMpu#y2m_hxRfJ^;`v<2>!$rI-8Ausq;vmIKJ>CBTQLCdy z3wFMxgs=gt6AN`yekJhoFAD6(^5J)Wz)U|702FV?GfUf!F2>Lh<4+a4C=mIr)hcvm zvUHgK_d!BiUa3zSoX_KxZ;86&GK_oUjPLoToef>|Sq3iQHHocs6XRBOPAuD8kU6A3 zJgE%Nv36y|87+J^>%_^tkzet+N;9d`7*@!&<#!t_SPxPzNPXB>uJC;{VBkI6VfQPM#Jkap`C@|&pRc=89_#g|jKZv>djZQzrw$rrPYgpH?y>Dz> zwm*uqza8qXIBmSzZ$~Q5`ice^qJudNcr#B}!5wG%?qNIoHQ6JWfE}?-%MW93o&?h* zX^U4*MlF5)uQl7)D?gXM0aLa*?Tz+lS43>$lp(<7YCe<(_=jje@#TtDa!%7wHu8LV zi9Xq;%Sik{1LTI))le{vfbtXwgDGVNhmOtZV%K6TmGYV0B{frDc|w0>NASRf;Wn~b+MVAP>jfKuKK@MzA<a}S824FIwN{eDH;0HSmv^75Q$l(dP zDrlos3ouO|jDUU#2dr0`>EdJgN~VxUbou$puHD<&64@VZM`H~}t03P`+Iox8F8loH zN@I{{y@jYr9Ij9X>`S-iee+4UUjuQS`Y?c5d_cU|zjQ4=?1nuxcu)+VGZ?@R^errS zH1d;DC3{D8@}xsl@bneazlMi@SYM+&0x{_9v<%HeX^Qw?nqxtwOd*XNSDO$8!+BD? zbUi!0a2B5Up@2(tyuob-8Zl){H>h77;Klld<540c(;F%nvL$sM*xIw-VZtHJeUHPf zurZ6BXaMp+D0vrEZ|(E>wu2u~WgB4o2h-l4UD6VQdhaLZBk>20H_!H3Y5(A;k<;cN z`T~%WiAdl?+{nG-!)x8b)-19G&;`gK9v4WaNfw8HO@Xb_QG_NraA430lGqH-2lQSx zz~Xo#0ZD@)oPY{*VC|Geo78h31oJm4=^(?zmeMC)ikk7E9d0#uhMQD)WeaqLUa@B_ z24Lpt616#ZO@t!}y+ci{b@M;Cq#75bDfG{0;r+3c|CoOO#M%(%B{ZI~*;O)Bt?#+u zrSwL6PglBb;Ydhd5W8khq<1UbwXcN4b7i}VYCbw~d9;TPwButpZy9GXi}Jth_9-d< zkVm#-Q>n9;mn{J{ckY$xj4I0THw^5g`Hp1gN0$YIEv8g}{1gOj(;y81eQo}Nz!N;Q zsj&cbc?^}6ESVrM$#iSRHW)nG|LP}~{Amn--f@2c9e}V%k?F>4eL<^*X)hWmxA7Bk z;F5{E-{06T%yJJ-iJQX(r8zc{Sugu;Ln0at`Q3j32m~l31v%RH#wUdAYQd#h24DAw2L>V(ot26z zq^)BK2LVHhhFML|YRMX}j`CgZaK#w$XdYDLSWQ{rk-60)tQp$UOV8`nN%0xz+{U`U zumOUV-9nVC)^wEX_PeHazuaFY(u8XfA|h(N3FJFhgtJlHz5fo^A>VbmyMFoFqqg{; zHrHFAzCZ~ls2TB)5BVfflks47Q4=3I{6*1q_>JN%E{+uCy&aI&gKj7eF57jWl`jF0 zXMH>Gbkpzl`blf($Hk zV=fbXvPvID1sv(Kb0SIF)Zjqg_{Nj_5RcB(pmaAWT9Rq5s5koh!W_kCa7J}Q;C`wK zK?7nzbp1oWMrqo4|3A*p1J8|{6Mz~p09bTZt8A*zrr`|MmG5+4IF*u>Ofdq|H_OKB zn!kkE`F6P~;7%`Musvkb&m!l`EfjOj(e zwu8!k$MPwrf_YxHJgR`P$8(LoAG`jUAQB3Q0Tf8EsXF&1xj3(`_4vsZHK{HsTKBBo zK%Whm?O{ejkN)Fk7koPONNC(!VNrv@z;r!^4R1la4xiJzWhHm$wWLYS2+Soj^vV6$ zG`*BWSZiu&*<=ng+93@iv@&VfGVLYz-Wmdolkb+;6~KBv<^W$ z?Zc^C^A*oj)bLMi0D*20B|Xb2-T8LohTRbx!9mIGj;~$3e*joxZ(Y369b@7zaqEa2 zN=Tpsgx;vsOr?6&4|PfKPy*a1*|q6{7c<@?Hink!s2MBQSw!*9PebEkiR7+^zv6J} z?(Rqra>%R`XH!$pgui+n%nRq8s>)-xp06pc(EPXQx$Eh15Y>oFGv?lN3=Z*!-@osn zbT9+rb+58hWtjVT`j)?SQwb{$0mBzH)qMK8nRSJl^z^;VH)-ksU+dOYP*`Rnx^#^0 z62Ed8bT9$n5Y!^i1HxWQAqw{M`1-Lv&&=(P8ybP@GLn^?=)Ge8RjOt4 zWdjCaHF!zHT0rL?f9mp6`yD>O@boVI_E#PRJSb*_gTG7C0LR7FV(@#CzGRc+cx7o( zcvPUN!JB-jWkcOve(M!~igv7U#x`OW@%^Os#+zO-RXoCso{La0cDDU5-7$>1Q>+_N z7oaXhyJ32(AxQLuy3aXH?`&P{3;u6Lj}y~GUM~8k$378G%rP5ZZ`;ZfNe)LzQuwWo z&R@B}rCt5+rQMdR8fW;fxMudF%UDO;nFc%*z_&)6wg>HcV4Z1F4H@5QdqB2i=UZCOTPe{kGQc-ElX4S9<^OG8`%cg!4Sg4x*J;446{N2kQ9^Cj zh{Go?M%sS=4-5GI*Kqnee)Ic!hgrSl$zez~Ga)L}xF_a};hTjgpmPT@bdNrvN>M#z z%R3JiO-O$bIh=4r1^upVPFl_Aca70{exA8_pnZLA%?z}~y3FN!wM_-xJ=4*2#&w(+ zKly68HVPIDc_xs1SGfOdm0IbiA)qhqllmlymn`B92T-)C6uu91iRnS9vH5dchdheT z2q$9S*XiRsbH(MN8`*T$V&CSi$n(@wg+*rx+$%3TJoD7C;g1w2kpL~q>=}>#nK0y$ zmbP^--)7mN0CfK6M02YsSery>+IS7;oZ;6(WoY7JDy=r}hbjn=*f6oQ^@Bp)+Vz3r z28cBr5fYAMu~J%JaQNwq{S=sWdsEanBEdhWB;QMP0FBgQivy-ggNBn9#>P^A zN_CZ81+*G;_noQvGnTcnu zbi3necafO2yP1M%W^(Ciy9PYz@Wkq${D(j=^ua+EswSFEH-4$413{t2R&8hWGOR^R zxpJNT+vBvMh@UY>bcW-;{s6OnYL`E>{_4q_n~om9Gjr`BcBlhD<*&;Bg#UwY~`A`A`|>3)uJ6f zF8hP{oSf_H-|WP<>i+X)S&GH1cP}L;>n$ORx@{6qAn{Ih^;TCxjg6~Yrq4&Q|%a?}CbCrZG z7{O(?4FJhV7FUV-?{h9th`{j!HFw^Q(c{1igL~w* zKiNUUpOxf`@xwYEz7$Y#s@)kO6R{-Fu0bDMXAM`354yO#CYMgpF7J27rCBQ(H!hU# zJ|BUz_SeKd-Bq@;#GREIo_##i9v_2HI7Hyn9w=&*mNjY_xH*y5)aJ>c-w( zrkbK)lh5|`?^(dQ0N+vOWrM z-vmmr;hj$-=f{jU7n^{=hpePADln8oKWKRA0_0lY<;AZM>@$9CFH>90K>ui>w7lGD z2Ta4yo;p9(B0mfeyW%ootva7vou^tEt9?1Elj)2r>|D_QF1fu$U?xGk9@%9ALMxbW z0jc+69UJZkQ}V64YXS814FCT?*y9V4>($>mqp0#MG+wR-z?kVp3$zPTv`aF3{y?9s z6ySkzxGw8RHj~tsbW`~vGGs?ZGn+dZzJ9w~n^d{ol}L@AfKVXMcN;t01YFtwl)HLn z$4L!nAm0enS^U=m}WKY$A(5~aFO^&8?JIwA*# zT8{aZZAjwfADzcU9?ClI2TqqU3chjar*7tJ9MZX^^D@W#DK@CNQ~EIwF63@K=_F#s&~5a{(Y7TL&}UlK~`Bff>ekjlP)y%Vze}aH#c` zj{6>3O|ByvlsMJ()iM2V5Vxc#;Zuv)vm;A24FW17;)Y7(>5~1N=8OkpF8JP~;H{`%1(4 zdR^jq015NjOGMdD?MENuBT@He{fdi$K{vQ)Yt2vGZ;-?Yw6Q)g!=Y96Od(Y2+a{Zk zT)*<3{Ud++VD{)wZ;u+UR=SS~_)BA1!#^`|^Lm%mPpEx`zF6E;00!H$FaoX%b+5 zNh&i5roGWXqD^{yYA7hr2HYaqJ%63+?eSU}hKSin@AEwi2HpV2jY-oEZL_L5^49kB zKzk(1&hER|ZU{Eh*=8I8>ttH*zXh09TQy_OFW&u>2C`keV&r}-0;B1UQs9>a*A==1 z_FQz!IAr>|Il+9H$F-1-+bJfsIpHku2s5M|_elTW-#y`Cz51I)>yWK4M&og%<$`IQ@O{ZGOadovy8&K$+O?$RkLQi3$!6MbzHL-zJL5 z(m^Gzo1v<%USb7sq*>1G>@A7(&CQ~|a0hqXLz7UHCS1AO-Cn-Ky39*!$pZ!q|N+Nvq0Z5X@ebNi9$Swp3RiRp@e9Y{=F^SgTP zJ!|808}!x_xvux28^St67MGiSd|R@3LSV%Hq}cad>t$ds%?S8!fG3ezO!IlR`1BnDhtpWBtPSkH2vCI-1&gH(`XQl7DcdhSx!WWNtZ4Hj7LpR!dxzSLo`&%Bd zhf(o|o6lf7s{^FnyaSu>j2NQ)-GpybR5_a(UxU_=-X(fdcMkK*pDv8nE(s#&Z{^pz zUrjptE1|r8y@ewP#j3&55@3NBGrlBMG|eO}Xj``#k335PX3{G6+ZbjG60Qa6JpO_v zOEm>qs$ztInC=p@auL)MfHDTuhph&c0u~U1t=EXXlFj0wG9Hy!kC#pVa_hY&%`-F9 z!{8*)u#JvrRiaU*BP%hPv*lbikg>y^fbn*QcyLqeuV%~UtJ1RyJv`N2Ko}1ofv(>Y zk6V#fr~0n5H5UvXOs`7FZU1W;7ogdoN8vA@{CCf#uw%jPx{UhGM+z)%F#E+ur$hvf z(K+FF$STvyG$GBX72;Nwj@1Kx?}(g{uGk*4KQX;7#W|QSQ?2QtB($^@UmtegBMo8< zD?=O}24#%oQPS67!eke8D2pZg?gy&@v>34Xkk6_$(47X~bJ$nQv_TLTPzpa*H?YdhVx%djqk*Tf-sTiE)7*;VEYf6VF+_+M(f z?#;#TerPA{dLSRntx#!yii=*N#D3Q{kWpakqFqbtihcl}EWPTiSM@llVLBCFwBw5W zrFV};m?*(oNcsfL+LJQfd;W||N>5Ki$YFlt&RB0S_~L%UeK&B`lK@KL@q-?esx%n( zZ}QcQUFc6({+egH18N0pj5+_U@b>CQ9w5lqDu+(K%Fy})aYAh{trjIz#tcaSs|np5 zrDzKma{c(0Q0w(E$Ct~ysp2^WK&cR8AYD6t-shDM8eZPWb#WzBo;~u?xaY)JbI6Wc zLwnUWHg%s_x-_kjSn$u{99L3wR?KqN7$_d)6W>sz%uxR&u{8AkL4E}PfP2}TFBSc3 z4XoV?JY9N+1C2POY9O~cnIaJpaw%=Wem|qbEY;K!aBKE#PMM|niaN6X?s<$gUYsV8 zxKS{Sl&Ao@3##1>K#LuSkv%l|LgyoCI)wB;*oXb}xC1)4p$;!CWNJ z7f~Il=fu;Pz$gV9b_}XU+?YxWc0J&3Ke#eufCok)vpdsuaMonsEI(c8Ijn;OO8Erc zT~t+Jow2+@_NYg}e6$Axn+QBy=4j^1=K*PVY>yc8Tcd+0;8It}v4S4x_ z2Dy`M`|HkQ{G;vkfs#5M)XiF}OYzG03;;lScn0%OzpnGG5#2*x1sLLBWKiCoJOQbK zx{YejbfxQL1@nO@Hf5=l0nskVLqD!9dTfSVaIbr@FuB3SiiT0y_)dLBC4hwHi#6#P zFGXiulHBBE1mv>;56QoQhd}A8`v0;spy=h>p2?ZfmS2akD|NMQ!sO( zqb}5Ft`~UAF+^5B1g!SH4ZQZC+3(?ynf9G;%} z)83^Az1#;Py2U|jP%CyIm>-{GfLAXTJ^>iFlHmp2tcTyHbKJ;+%O~ zNV)9pttdO;N;eRku?sRw`lBHe1VAaQY?6o8W`r-djl`ABNF3}qs9dReN3X9M{~b!_ zpo1@gc~u_(L`n_cq^?YpOIsO2wBA*hE3x&8R(|L#=*aG){}wHm2@1Oc-t3;B=Qi1T zSy&rC^hXDR$JY}W2R%271WuD%_-|$NQvKcIIA_Mt)UUoXGo$-4sK?>wOtH)0nSii&=#9> zM|O5c*~XGl0~JmPeaP_3QV0C?6!tr=kg8QZ4TAIW1^~{>s%+P;t58OEB-0bHwQY?u zG=M{GIgB(1r2Tq`*MuIN1Yh%kZVFT2{8$4#SHx!_8a6zM9Q2wKyN-jjWdz1p(+}CY z;vmAdLcE|j981{T)lP6vcF7wN+&*2I4}lkJ4c@~@-7Zp3kbJz=Is(u<(>Bq^HzAY1 z$se4U6E6@Fba$6Z$S;ZA`|Cw9S!)H2U#mz+DETA2A-xDH2wx%nCT+3j!Wf zj8Hxt3{Uf`h5?9)3$R3hTmrBEVgrxq4EA=~vq1K5H>gzfTYW|t57UMLuBa1vDE8 z-7u{fpOqAsH$u6Z)hZC=h{fX@OFu1FFXbsQie3$^I!wE~Sn&q+3<0xuZj!l2R*(Jl zebBaPmDB}kNt9seppBx@TPR?6$kxu1gIBWe8Zy~W|1mUj%VZ2J*SpzdvKXP6iPB0U z2k22Khm|vuA5x2E*uXvsckpbhHykUEDq@pGo?`qskG)oI&On18;r{3lhM!24zD>pk zP`ua6*`F|Zg!p;nEkP?9VJ_os z1Y+!sK0GXEGS(bTc^FafKw}d=P+TvbR|K@OSp34#tFtDdFYLsy=PiG?plK198;V4G81noQc^rM zmOiQJMEDHweSY62(VRqQ)uGNn|62vd*;fxFAzd@9eed7p-^x53m3bEQ7J6)Gd9uw- z;pY8Je;ebl&4+s>306fCEbVlQ^e66Z_?3$f4nMEQ5|341Ix+Kpt(wEC7nXDfoC+VR z2DD6J#@h9&Qt}L*4-DBY`9m?{f0NZR45{k&I4Q8Uv!w!-~E_RY?l1=nz~2cBxbyTpzQskkI_qnN5X!ntK+Xj-udtS<@B|~@rq%GgQwcnn+p|d>%zz1e6iXc z-tzX(3sDy&lDVLsrsu{wdr+qh>bsTx{w&E_`L=jDsXFXb#qfyJYm+a3E0{k&`hL*| z$I>w{+@41D`@F_1X&%(E6D6@6uU>uOpt&-jebDuP!$13YkjD zKA>|?N9~1ZFR+qg|7|22`2q>kY>wO7>sMbd?HBj!L7cQ-9YNa70v&@W&VLuu6L!Gx z&XeD0mO}OjiT3$b%(BjH=NIu$)F$#DK8krw2X=Mo7p^`!ZXY)I!M`gY37e!EZy_}RT{t>Aa^6ozzr>g$_!jgOYLPF<8{<3-@@A*n{=4#HR0uI<>p6F2E-d{i&) z_v%ci*UnZczYW`8n4^61JTX@^djF4?-XSI}Og#P}vy#4dUwQo|toV+2sI;WppIdE#RCyN!SYXYQN{TbYgi`_Ds1IPCY`IjqC$okORVpwF@*_wU$a6tfYK^Yfu_ zm4M^L0Zm$}M<-vu$}&>#A+E_3T;)0JK4kc{L%w-HYvx09NRM4?jK(xL@8LI{rw`rG zbAHYrl4r(pg*g`S`ZM>dd$imS$?Q3FKd#!k_=VpuJvEk%7g=p?XfL5xMt^M&(@Vl1W6_=32Ft|q4G~?Y9qIM5eQJI!FFugQpfLG7+o8XSw?zt?Y2@buPO;k# z!j+Wezt;aQu-_3Ia_D0s@FF}9ynn3fq2^kFH!%ojDzpaLg&`{woyI=WzYJR9LBdvLO^$ zG~p5CRC4O_>!*#VU3HDq+rHGy+sI#xu030P%%{SmQ_IP9Cs*Hu?{zovr2Vh*kn1)j zC!@47B+ek4RU`#ijA-6!$Iic-YIj_=KVOu4a_@M<^S^#hQJ;}rjsLxL0hAp+baR@? z`E}x9bM-FooB*jSS~s$e?Vb2soOWfxbmB`0%xIE=1--XQ)}JKg#p<7IkIQsQ?ElKU zv_CJ$f4s5TDc+kF{_Q4L{rz-MZFK1G?-m#wa?|9Du4Z*ooMo(P_4_ux&X^K}np4(To89U~e8v4hx>QdI0ueKg4PT;s!9<{b;6w_5dgj@tC;P8Y zjA&2)!8gu**;tdQ`ZVVRZol^Th@Q{7^uv ze&K-+a@A8`va{QsX*_*ae5mZp-@oc+9(UGR0s4!|NBdj9eTgZ*)3CjE{acL3sCE+M z3tKOjbxSe47WHxjtX>iN{k+Ww=%1%=n2D05@7@vF$FdwT=R!)JK2N) zXyJ}qCB5Am!g(r9Y-J)Bs?UCY*%;_OLe-2=uYLgAEk$?39t;>;;3Sj(DBGtQ`aS=j0W z-6d0&wCc%A?_NB-let{o;T9XS06QFdrMCcBi}=9`yElB! zEL(k-YJeKZ;w<yUv)eW$C81fN_|2FA{kAeNEcjgDno82ty-ro`) z3$2`g$J(ztvx0Vc$HI$n(@v}v+YUbjSytE<+ysuhlF&-d`F6|A$qeag;^BL8TBy4y|#BOO;NB`rLekCO2Ed{ z6VK3gfpeo$!fgSIJ+I$~Y;~rDY%WQAF?`kXY?)90Dx01(n%KAZ@arc>F58}e*3DPw;KYg>vYpUGMc?Hskf_Q8i zsvlN1G0Z>EJ~!ExaLFdaILICQXl43ZfR_6~re$N`lP6COcq;7k_~YG4qp!tbO3Maa zZ(8m)q&LNx`(EzWk>9uPeR$(h4IpOtbC2!%9-&cHo3yl~HkZ%eEhZ z;O?%CYva;DaMuXdxVuB+1a}SY8pDITOYlHw2(C>C!Gp`&IrrTA&K>XVAN*yEUaM-& znl)?IzJt?$q=Fv2gLr!;_CIRSntIH#QrMhvx((_2@XNvdZ+- z+d80mI`s7Im}2<}oTSWcCUW5uqE{ampOcJ>^c^m3>UZA@Y@g0mcW373$)8wY(^-*TfvJ_Azrx%8AAcJq=fbu8gC~IrN&T zQLm`tnB%iHJ9vABT=QBi?p!7$`oB`NPPJ>Fmy zh&=H};XM&os5U8-p%#E|Gu+9gyhOidawVZ1bx`@PXV8gx?D1hyTAiM@%hphYX~^qg zCC0??`S3b}e{@i94yI~?mPC`uwkN$l@;R%MN%jK0u%x^hcEQ^tx=v2GqSPCe0vv@asom@8KK0$h?ld2C6r%r z`Ct0eS&vJ`XPMI4I4SQ5Y&TkulM0|wbxi_v3(kC%0nyc}ZxKcJS97?FM>>cwa)%O; zy3L4#GB+mZG47U8w{fY6Hur)y{6-c}h?{c{`AVe~EWK|%b_<|N+la`>O~A}{pxyhI z+sTH^_DOn5wi$p3P=A4jaH>CNLOX`~0>Aw4M?YTmgU&^E1ZAvHniFVkWrwoXy+%6Z zh_O-=Q@$&gW~OQreImDkWV6H_9Yd2aoDLmV-6H}ePg$OxPY?U4cPSd&`o#L-&-^&- zaY;(Q^fh`oTEdIkqoAQAJBPh>-CBY;{~2vGlUBD)A>pW@M4TVI zsi~c1taRLX6s2!ngMecV3xY zJ>zI56IH{t)!UZZ7K4dU5EYr=Xy$h^W;J3F6!0$)jxQl+zCeDV#f8}x=m`XW_rc

+5R+!gwcgw+_WLK#oHggJ;@{~Z@TBBYwVB{ zcDv4DaRaa{GLtBnzOgx+;Jx8D!bIj}d*&V8!q`AF4Bl40??pQy zPgpVW4iAd@2m0S$zK^$XWs73s7vY`vfJb$=Rejw2z5P{S|3UlAKKtq8y9FG0fURPD z{Yg_O`i07;V3LFU&Q3KQGBf$|_1Z1&_mMWUlr0=uE&J>$AL=cd1aI=*e8#?mJEvCY zDfHzvjZaI$f%(f|xuo4$8WI1P^CEKOuLC)JCS>!1rHmK4BS)LeMjoTFB5>R(ux1-Y z$cGjA9mq`NSKFp&aGnUD6pvaQcbpRCtbH|Dw!dg_RkUS>BmeS;9z}(6?&!$o_B`GA z6<%trlsTfrAiPJ)*;snMSIg)_gi|#(3(lnQay^X%g$F_|3 zK@|obS=5r^jfh8)LhANrOAY|b{0Wo7L8V5rOE|t3&IRfv3my#R)SE}O9{>3eVr0Uo zQhDDrr99r$sPrz6QE59*N{N+eN^v|R(`e~7vb?h!Wmk6q!Gy^ky<|9#wh^gQ1XbT} zW1Qb1)h>Jae##Xl?3P;b^8l)jQYrlQ<7t%8L5qTuDrfQlyW?bVs*ntdRBMJjL|<@g z_s7;uhE*_z*K{k>k%AaXkuDSR(_rrwtJHz(iO?l5`(gS(NviGqx6QF>9bxyem4&F? z|3lHa_%r?eal9hBxfjW0$*m$nEsRMjk*urB*JZh-V&pcrT@tzEPDn1R6ct%+bKi2E zyX0<|`+aO~+ibJne*eMe^Lc#EIq&m+zh2MR@kY8^Zm6)FfrRI!@`}~XmPHOesgvbg z50=?do;WL2^X6~Pw$!8jvDRii%~2hQkvE}k0|Ni|CwA=<5>ny^k)hz|p~KzISy%V< zhWmAZ-`0b(blGMy*ZgC;KT;#&Yr0_pUEI;%SWbq}nV?^CRa_c;Fzp)Y5v0*?iyqI^ zyePtH56+P5u)Ht}dbg5QbDK546g)ifwSB9IJ6&Lh0lSlgpq$8inN(95!?i@b6R~ch-TD_#D&ycE1VDEm1)|kAFN;Pa%r|<~ZA4L5#OOYWnk}uhAekB2bL#0A3 zA+I5fgn--Ct{yQ1&}x-!6U}~bp;PgGhtMuFCuGbvJb#2L!|lzFNBzr>`%ivvJkF=n zbGO;87;EbJPVnvQ?fni_wvH#E9)ja}?@9RJUdY-$!Qffo1Tz3Io=}p=Wtp1%i%Hy` zHAypYHp1BC#rYg07`V12QFBz~BQD#Nwm^8|F>4;#yLKc$>oSUZ%*~1@@YYO&K#l_L zT#ES(8Hu_^Y5)^VjB2Sx57zn6(|8)Hvi&d+`My)fx4K)7Tiz{C80U24d1Z*`aYk>C zvymW|zrS#u@Ted_{Xlq2mVJ)|qK^52OgF*NR8WL?HeR8D__9vDT7_Be7Uwi5SBT*m z>(|d7*QQZacZ1uSFTQO3Co$T@g%>xt_QYwRtJ%0lcJ=UU1? z;_hEU+*-zY+pIl847H+0?W(9bCl*synch|++M;Ga_So~Czo1U zfJ~u(HQaj7`t1%aKb)vuc0ppJ!~wVALEI+jGq~+8`zv77k9%iIM)DIvI`ZRvq1tPD zbk*LfI0%EWu;*Xz5HjgcH*&89)HJSt94h@#)OjFn99L z-nSkX&+VO=e!_wTUw@Pu>L72iyH zZ2^q^_bt4AG|(ndgGiDta5(L#X+>THdw%|~n0`n9y{Ek<(%kzeA^3{}v{V%nGK8X$ z(Z5qIYt-+a$<^v<-MfiuZB`w3H}H^H$@R%XjI|2cdCf*?`UGc;esH3bw#`IFE?q+s z1?2s{?W_mCaX{|;DvnAgowl96iWO=9w%a~t&|lUuaJw%459*e04J=MZXEB~UW$@zDqkYwT{pV7YdD^uzv(X% z!kdi=19m>lz9=X#5C|T>kb2>LBJH%>8phLp0tu%D&lY(UxOo0~us9}y=cj4wI zN_F{Pc33}pH?L;e?3#&5fjpcjCheiRt&n3_KhWMZ9ra=ngUk!qFle(hdQp`~BveRC z7^v)Og|3`N>`MT>S9IhH4VHk+*DMZZkCyRY!9*gC z*RWj1(=^w0?5_oQh3Cl!Vx~8l48uN{@1D(uH`ohO#7Y&ao(|<5GCF<#@bVff13)LX+|AQu_R2 zF7E$*q$%Xwv|z@_hZ-hsRX8e$jjnLu&WFNQssv%_L_q3o4Vu=U*`H49cfCS8=onwU z3|1BWH)czxNSFM^VbD=BbGzRw}=ufDHZS57@leCIE4U*7OE^D@F zeKmhX10?&B2%z|IVO$D=JJ>43^*CKv5a+mta;aW@SwgQQjuX^h*&(|YJqZPm&aZX;Kts|;x*HjBSU|Yoiax7EP0P%`)dOf zKDm<~z6BN(+9&^5KU&}>w2#qS z`Cv54ctEd){wnjz5g7S1+vAtThS|(#F`o~cP`POpnrxGj^)^gWtU|$|8H2kgHZQ#| zxgHy|_dPFR?`gfH`R2R!x8m+aybOeo9xD=7uhU$LF3!rTTqwE-;=$1xIcA6pChh5I z&v+g7yC0H#G*Tt@uhgDAcwZEYUcvS!+bh0kT`efG=i#tzsw2bBNxin7Te$jA#k8oj zcI9W`ibR;!l;Hfze}BB+0Ij~!1jT|3(~J&69wzdi#kOqr!S=<6g|3Z1bs;7Q5tESX z*}*{Aif0x$0N*e7jbfh#hNbg>a7{1%i^*qQ)iD^!n&J7{JPRlxBVM4L3KtQ=cn=8n zH78*6Ify=B25*g-rNl|Jj*Y4&R+d4eDf3NhYmdB3G(u%xkh~|l1#(^`2qIk?IRy}m zbHBSq$Me0pf5>Nh^*NXqTZistYB#-j`BypSzGFcS4_9$7XY78yFY1xz&8&WbY~p@g zrek2$FmGamEb9K)&3xpryA1SbrGQInCNydp0wgCA->+49B7=X`9OOz}IOLr486YpDyP!3ABoGQoSVq*sfe8+VcS*B2Z54%9N(tFW>6AkXdZM}c1B zL5m*F;c+@iK0i|{J(7~)kqi9Q$p=v{Jc1Umouv=8J=DgGNI*z`T|#?UzQy#|GB9+A z0`z4lfr>U_aQ(Ziv4e&JW3~m8b0N|*>_mTu&)68tM-KU!8kkP_Kgxb+N)B-8zt!NU zgr^$_%*(m9k0bn?E#Gcq!tD-(>T-Y#=QEUiRhgVuDxn&Jz4P zrN+e@RKCcBuTS;Cd)iZTxYF>2qh*w?*~O6`eEFmcd@6^TmhzVecJv!9rGw%r{X3_< z6XoT+V-bMOv}36{>L3_ewWxCc8|t%#gn3 z2BM6U5#ES*IpcA=D`HYt!ZQw2HQ`s3)11p22R*4aBgQto2oX1T@lA zNjN(=uQ{;k}rvDdt7O3kpX>WQ*%}$Ns31&xik2 zWTWQQhDRJj1Ik3a_i4XFJWU)k#-oStl|6A)s$!TN;BNMH-=)up2(e=^^bH*Cw%sV2 z?cu&!-8))bU^k(e0I$v;)eHBk)Di5d*n(tkfSWn(W{)PkEpf*!0p10&fvKdqvn+N3 z680zAowQuwxR%OA@uo?fs6=SbmMIW-kByRv+#pfH1XkmVO4ezA_tUW|JS)q4=Jhq<`lm)C;+tmyH}yCvey*X}CVG1(P=S&3 z>P(3`0E3}}tRvBN>3Wlz1zjaHmuI857NPDW?+QZV6XHk-2kSd&N(v62;9{aL_4rP7 zm*@!e_z<*-=-%=&0j<`-QKxzhUa1D^QnewDeUqAa{zzrQD?srFiTLryCa0UhUG{T` z)Y~a-02$ns#I>E{KFED;O4sYR&wnA|xp|U6px0+Q8trqFz^Y?Cq@8j{R?Y%1++sM3 z{zJkv1e4{tn5#WVtZvsJT>)_)w^m6H(O;|8VR!rq=m-ZMCgpSeAbPOib2{_oS=X>C zd1SlFkMNKmiR4?u@ACETDN9NlwG`JoMF)@z2$WI}=qhRP2B^tRzZ2QI9R6(N$2u1x zr`u@>9^!C)9*w(O`jYj=d-TeB!nX>G?k?tyW7pmJ5~SBc&Q4yyV~*gbDzmvnVOnNp zz1#5pV%!Zc*Er70vN_~*Q9t%~PpGU{=o-Q`+Kji0mgj_wUj}V8m%v+T5}s6_S<1G= z*$t0^xQZ}Sdst2&sKcc!7r4~yH(_KM2n7$dCde$)G16-Lv}_4Zh|(?XaY_3O-+cisYZB2T z;Yc;L0UIHA7)_dwRJwWPa#Qd#i%jwFC6EgcYDBhYpInF=>As~=3*dsK33l5I8yZP2 z7{C@-Zkg2+2WDGqyi~hzSbIGs_Ng&B+?t!>O~hMj^ofd6qW!c*C#XJ}>~@ z^CQntvbtS(X&oHg$yxivNvL?Bm}7*P@*j0=s(&LAZcfuSXwuYw6WCMG&Ab;{b_+_= z^TFf*VLvh0y=>}(bL+81%|eeBN7FLMOS9|AyVa1uGDYF)<{l8ToHX(M?69q>C0*C! zT@Fgtm+1}Q<2{DUJ z?*jc5N0&U__hUErBjBG5`hU;~wqVIFV;s#1KsE?2T}3S*vMzfi@P>I6VC?cTjavf7 zGD}I5=jmG#Yvo~a?#(TJ4*1c@4TE9>pO2k}t&7(bDLg?AN!V`3hl`HmDQ>Wbxkf*| z5FeuMWxm6I1&zIjyJyF;37rOmiwY8|&wRwR6=MC*%l!IE{tQ_Md9B^d(nZxwz_)Bb z%Z%d`9n6yF1W0bfWxHG6G~S=Ej>Na}H#72tQUey|L= z-4aD%Bb6@X3sc@**T*R6i$Slc*s}iItbWV;ftcKre!h-?cHRKKBaScr}8k;$fe4f6wE0JeG`V0Tz)I-L2L5W4INx`wqa4ZeKz$;Y;h4#_^wQ~~->Dk1;DyC;W9-f?s)<@#kv$RTXWv0$=t) zBER;gQp=qbt>wOstBh#qal`rdk8b$hQ=1E_IN7p!Ok6@KsG7amN#TXC2p>z>I5>4_ zAu+@T2jZFTWiCIxZWC{OF2cL1WFFGG<)CLZPBRy64h#&U{D2bnhqgZ9hgLuBOEX=I zt$R&!gmI4bA$oGI^&x=M-ys;sq2blF!PTdvmz_DDEEvdk*fMGiJR!h{m^)7j?F}13 zVkLf=7D#w{2hKUr&pZtc1UG^jlX*pp1FW!@^34S?w4Qv+9}y-|%1s0H#XiBwSY~nL(sbtOR1paB?0r zy1M}!L1X3!f@6-gvQ8wF7ZhW#?!uz$b_s8w<9L|fFccPS*#k+!Dk)NIH5Dmq1FNEo zVtTA}|9_fm8$7#Yg9_s|!1rume(J)~Sx}WX1hoBo5^h5P<0&qjy-DLxT1-~96*902lTypFKb0E}%K}oAr*Mf$9*3H$SA6N{*jv=o=Ie})swPS>T zO>}lVBe6GiX8*ZhYUsYRg4@q<@Ee$qGP*h9R=9p!Jb<+*pX_DlQOB;=T@>j7spyg_L?}K%_DX z?G_t`f_qboQt1SZoWw2stD=Av#CKQ)#SzzH1sVejRtbdwRvf00$x)~X3+joIM9fW% zga=msu-vbHEAPASOU;+_?LUp}U0Xsfo~^8xfIC-&{FLs?ZrEdiC4bl%7=dj^-uv;Gb zGHRU*Vlr^ClsXfU)xMqR%ea8a*&`X9$VhsHMlE3R%H{0_4gx_6hzf^wUV{782Oguu zY|MaPq8UzvhtNO4*}ZDxyl}(-MJ@z69zOfeL2sqKiZZLWUqn}k8ij*Gprj$n)85H- zDZwg$?9&{>{iV|3v#TqdUxh4UF)zisHg}E=9@-`Mx}CQR30Bu_#?z-X;DR}*st zd#2FUPn5`HSRrtYujJ~c^RyxdNRbg6YT_H-VfSUAJxy7s5qME8kWSxQOAG_H3t z>aF*E)R4;uIUH$_`A1~}WzecHxjalrB!}ZQ(GR;MBI2k`l8xvosd>}VSzER(prFq^ zJm+sO)xnmqJ|PI`C&C(uwfHEKvEX*)#OVTXS)k3)x3UxC?*61EHq*zwW8PA13oY2vA%*Gk#IgL=cXM*dqxFszYkqs9XT(8p& z)L*mV6B$6_%!#T7(ooUsyE`@>M2bEu0Q6ttI;)mT46O2;b{v5I%OLs&bIAqQ@YKJ5 z0~2&-qC;{N`1Vcq0RS^S-@C+-3;O_O$gaWprKP_n9C=jlB$8S%>21O$_X@8gs}ig0 z!wDp>)nbMHjiKdNfMMZE%UZc>fk~`W#@3^982EXBzJ-dc97M7J4>Q`fj&IZcma!RSrB=; z+QWS#biy9(khl}nMj2ZCN}^2dqiYR|JOVxMbAA~#$lz`oHA=RC>=LFy(aAB2G>(0E zoqdzf&fN$2eU&-jn|tfOCnl#GToa2;M-Lhz<<$&MAL>a@#wK`KYpf~Z@ zJ{p8k^Q@om>FJ%EB#ZEqUig+6vF;0;YO=eL9^ipQQ9S0@s|U!U+#-9 z(xmQX9(ZVkeGBFV+kZwWvu?h=G|ad1l({8>W;Ffj=Viq;rCxbH@cn_p15-hT57TyD zJd~;(!% z=;eT}jLyr__%nKgE0K`0KE-D|ZRi%PaRlVK_Pu)gsQpA+`>0+33iCkGL;%@U^%;*Y z8;r-dEDzlegeQujdLN+TF(BU?Q!WGN88WBlreaPQlt9iUdn@%7pSW3<&`IC2v2F1g z3roAd)-O!$tWY!^dh0Qouv=rAxaqgj%B=rH1Nt@x$$(E*=Z`UbbQ*D94A%_zXG!jJ z)E|yOl1hASXKP$t|Lqf*?k=kfr0-&7b)5XMk-kUl8nd3x`&pNrERwFJVwGGR)Lr1c z`UGyY*yNC-hNJC;Km88=@a;a+sKKjk;{N~CgE=Uy)@&rRK8m!YWdd`Z5GBB?$Sze| z^Lw((Appa6H;iZAs=c?OyKcAdM>$8*8AD&Mm}i1nr?u*eCmp9C^f!PC59Q|SqU^62 zMX61Nf)!)Uw4rMu{yD2bah-zRldWD@7or8u$7OuMUPLj<(hroq5t6l7llkb&DA0Gr zU*^%ZrU3BOqEFLVP-BsRvD8UM zoxQs5cN_g5k_3?+m{ZT{tSpV15~-Y4^Bw*NQly-OS>D2k97$X&v1J^I#75(#0Q$CwVIcr&81o4ExnM~cyIpGqhL(E7a zAHy1gtOTOt{dE@ycity1Q>Y9HCF^&P6t_g0qT+pJZb`0naWJIOJKm4j2aS&v4s2hK ze9|jAD}0b28H-y;+!hu6Y=ltZB$PzrrYio%17`w;x+zfbrrGLH02;KocAPR~7s-#- za&8v&h7!;dFra5urN_kIzZn?1XwnUllziR&ie zJ>$8=s!IuSi}0%gXd@*LQ0oW%ji!-MYRo#zG)RVNbH%s$bcSJ>;%N5X8FHdxwA+^i zZb6)jzF^~SsZaRctX4Dgv`zzOD#G&wm6afSu$mi4xcsb~85D#J(^)=k80Ta72EYhD&OzH{YejnGz=>ydr5 zF7lmLl{Q+yn|j_(Vq>iz*bK8MrmBso!kT?>_PqfYJBKIU*Iimssp(Ovkyok8MRdWr zJ&fC!<1Ur`=QG^4&(jsxWmMw=p?V=j(AknC*4LO+#2SqT0Ljj}xDAPH(qCB2WLzp0 z*VIlg`FFsm@$~SQ1oN-JM$|}w<4T0CrKd4QhT>vvGH!h0hWepkJ>MEcvwCxK9NpHi zXZEzSEWm{*64;nAzCiz+SfQ@U4>h<#ROyqEP@X}|n680W3!0nmFEo{+7U0m8Vd`a{ z6uMiY_lwY(BrPwOfNeFpP@d`dw12^%P`%>c@6&;dswtq}0EfW3=PbrPk9!G+M$Co=tsXZOzRoh#w(2(s1|ah9J{LW&63^}$!(t#)ImHkema&&Kna zQ2JItlR@hlctQV!rLDb1-IFL!Md`)ys2YH3tK8x~+Fp;l;bK3@)ggZBo_+*u0{fgI zi@W{n<Fx*8W#Rk68zuJhyj0(yVJtat;JIt>T=Sw%x>lrEcpQx>%{hS)(JGEVu|@E- znENHOuIC@!3ou8fU!wHj$4b6;cZx02Bu^pZ8JOV9$V=dYb9%fV-S?;BZXn?Dzu7Oz zc|_*vKQ@>9khQF~zDzD)T3a~KPIkS7`zq0t$_>af#BYCaZF@y%rIhx}!+vplx6Iha zGtplaXi93F^BLVfa>$fRZfOm!dc+m%S9vE}s|XUmhp#c!GJTl?tp z#J62rOKN$yLoH@d5!pA}?p`MEXq{yj|KT=CsBMn?vr;pn2={@zav{I~t8 zRY-Dx>jltJ9Tk9u(ue0IYl(YjwclS+kq}a`+w=H*&0W*U+c)70ix*o)GZsmf_4BlqqWYw*k+Ul zK59Ivu#k9>dhfW^m@xuMnGD?!!q#po#S-3kKvC0aj}mB7taNqTmv<#KE0tsAdvUQD zdcn5eUBdcZEEDw&J!3NrT<@kEzJwT*G^bxG*njId?2L_C&He3m7gI{iFp|LCO;;D$ z(X?lLs3e~YWz!Dh{6|f2&)Ye;=QIw^b(zo75&AugrS7{K>g!FLu4_>BEqUv`;`#*8 z`R?eM4^&LE|} z$VmswCtUKKp*t_euIlYKZ@TkbAMO;MVZ3zyZf*rJgSnv$iSU!Gl|3$LAnWQ_V?hy| zcZ*=}f1bRB!nA}z=6F3aw6qHIMCr&tFE5@uWb~sd*1e>1@t zkM?9a;>)L$NPPV%@we9@%L>ps*7W43`PgQdtzz?zZD zw#aw|@|U+GHEZ>5H%!~G$Y|uA8unRgm)>-QMB`5z@i~1!)~(y^GQ+kOC^_8G>Kt`{ zl$8F)afirTUg5F7E59Xm&g@nnv0HGQ1Rs|Sqb~Sgkb!sIslVO;JG%D1H`CbzdVM$aJ^td#0(+<$&m?+ zz*n$+GMZR=93<0s?--u1HndUFVDD@HBi!?bM?I|m24Mj5J?<8qokzl~N*Vp}o?Ezv zGL69ek#h6Z6j|i#RubrEogN3h>EP$9zVlNHsI@M7g0o^xIHrFSx)fjFU-U)g!_&>) z!V|aX5Bg+R5HA2DW*Jmh=0f*Np-}Z;5LLb zB@SS_0*~&6;!j9V&^3LTCKwZNrAcMWyjSd9a~y@#s|@5$Z;JQ( z-sF4#GLqijR5B`-o{|{a*-FJS4kOT0qp+h~2$#6PJGgVHTRL1qbK+ZCW58=z zq!y2$E`u0KzZBdfAKW%?KR27R3T&$#*jWO@8yZdPD8C!hIYxF2N~R^Y zGm^LNzcxcsY-kzix6Yos=Yv7`tFYfe?tuL1<0hu=D$QN3}~ z5fGlYw_N7q8KyCVcQ{HL?l9{qn~888;O=j51%i{~YyLjz3y6;a`VwYfb@jfUKaONsYsp}#bzMz4)Y^^VMmps3-Z zUtKcl4#nI%m&HCy2!M6Y;SYeN{z;XVd^ml$Hlj4tg&1qkQ$)IW72G}K}M1pgX+ zSFBA4>Vo|tR@{;&iyDcqif*af-!w2|0eb;;XBBs7l-^E_T6Kn4$`t~avr&(7mSbmO z0DI4eAUdGWB7TWQ(0(Ey5MY+oKg5t`8v#;PZ`+qo+1i!6x5D#7YF6;4fFh>)9PmVtPO%ub~sqqbigKKO)-mY zB}vz$RRIW%y1#?8@FR(W+_xvrf6lmO?~ORRBi)ZipjkXn1eZN zauo!83DMnmG#JXoGlLo`6>$^-qeb%=M|Akk!c&tST=R#I%*H>8G{Wk+SmRP(HtKiS z+wBVrhn2IaTj`f}e0toF0~{j~m4p=9ts8*(IZ?Uec9ipaeGWsEI7=jT1l8Hal8L|Z={KCaD`XvK=A23f4RoMJnNH(QGusGoaw0{Koaw-=h8 z7rOWI8KB&dlYy+b;Fd;9V;;g!w996t-Bog23jG;Adu#Zr@?I<{f>kL9U>34M0K+_8 z(z?qbJX>tw;smDBz&k+-bYUu7WQ5q)Y4@iH02E=%X>M??><7rmEvdwb6?rw`s4_ zA+JPDeB~+pK8A}WgB$5FTOR~#Pk8x_oSy~4Pa_0&LhY{Xav7#U0nj-@%&q@cxeD9r zDDGwkA%cN{d>1uMfwWhMumzv;*zr2e}&RMiyO)$A~PVMA-d&TNo zMBe0f*yKjMt0esyiw7W#GCLZhqw>t4Wp+8;D(wLP8=|ed8X%{lSGR8F8?XG?o=!_d z8=P0PEdKm;1F;C2*6#^}a*V@I-|9TcyyRB)#Q8yh2_hobOfgkWKw++*dH=wZ*2f}_ zX7jbaby4ixdTwteY>?&smV@3;-S}5O+YF8|5)T`NwjM=aRr(u>^BuIq&qMMFutGAr zAB%26KO&MW+4GhwDq%J?J_(5*talGmdLsCuZWmm~7HxK#EQX_NzOx4v2fMw~e!;aA zEPKz_7K{z|ZeH5`14yDCZ}i!BzPBr=T=&U8n{cNYn)3NxQY=oQFFkwpJneq(-R0cZ zmtr2OBw7?7iF+lG76$Z{IZBE7^+{^~@iqznR$c-fv^f#5I_;jCrYwYH# zgZlG%^A5Fe*KY}@-={t&3N!Q1LH3R+xu(i$t`IIcrEOKeBRH>Q6#YjDDDn;U&$q5! zD|E;off!-QOvIU;SvuZyP(Hh?cp z#oP+5nTFZ?#nbB@niN`{*{dvwmyG`)LimY2N`Ykt?{M(z&<(j z##8?1@0yISz*&3yK)1HBkW=WAF_P{UY`fu9!-nzFYka#FLTN60ZxjbadO@*KaQZyoeCF;g!qYO{2d-}Y?ERQm>V0p7B$|kO2DTre;rVr*f0U_Rmn1p zw!5@;j0u&UQf#yNN+Cp}&hQqM&LVSBcg}2z&LpDQF3Uyf4Le$9y`C}&h0wG-3;Er$ zl5=G=^`VD^O?be$-L8adnngiQos}siX7VBZ!$Ew9|MDV+{61fNa2?Lw14jb3;qFFp z&_ZcKDJp!O$}J2xGPMkfuwMC;y>)lLZ}o_aO}%#)E5V|t&a+L_q?BfiPKh*losXp* za3s2P94otrYci~oqQ4bk@7VRs8Xe;Fb9lkFo;n0V2gS4HSS4)lJ^9*J=7=8f{f?RE zDK24*m^ieDUO5>9ow*3EZdy^@zb;EFVVkN;4Ie<&=$~PtDWJk0P;)@fJu~4uoC6M@ zAF&nfG``j~a7{8fExUg|RB6nb8eAXOX%-Y-c+<==$ad4{(EX%!el}0}l`t*}tFVr~ z7MC_14R~m8%yJF*nb@GCHEU##!B&$I-L@u+afdT|XW043Yiih&asAgOgIsK2Z6-#0 z|Cz{GA0uEpt2>a5b{lom2LA++ldEu?^QqmmZb2&n?uIY3b4QSsx z2H?(u4NCk9M7QQ?!vf8nq2++OIF-nFb%Yf$f`pmhzZ4%(MUl~%LDOQZTF z8J(U*uZ>#OR=%`$9KilN8kM41*P!pJ`yb5-2)#5;qd^OK_2i*=X6mR|Yd56vH9DGe{3R2sf>r;iq( z&M%6p5y%bs(#3W9^C!s1N?NPx@8?)S)S=^tPQ-!LTso`EB_yt71Hui24|eFARwa^k zYu&p{RaE)QAt37GC{;go9hL8cbH|nt6{nt>K`;28-6tc}_I zi0p5`V+T!#G48q8yN*FXRUV(h8VHPy6{=9tt8BBdr zC+hLdHVJM|&=>rO7H}Nvd#<|m-C?Ua8V#aieZcU-1BVL=rY5g)Dz9a0N${G5Dwz?N znO`_M1s#|g;;w?qhg&;R$!lid3o37{*F;S_B~Vr+EtFGqlKD|^+1$qs7W^<@@~W`y z5!nw0;`fVeZk;_jYWtfQcSQZPe>O{HCqt2W>b3p$RdH>`H}d{&<>$Jk8iNXd$7gmU zU;R}LJ9c#!sQufjxF(2Z55gL57_Na#=2W4!BNA^5u=OG4%aFR4MDxQckBS~2LEATQ zv?1{{;#44kRgYYLSJ)VMHvtgzg?8|n{3kZW8yn()ts>BlMsD3b@bO*}6}j<@BkxcJ zJ^P@fBYeEe)D?-Isln zFlS^2hhNm*-pRN_>41I8pZeMwQCGt4b$!P%G6S?$eTSygxYtV$Iv<@8U@PtZocq}G zB0+nyDsfLF6@hwmFu=7LCD8sAoY9^FV>%!(L*h?mXVavuG^i06p9Ghc0;b1D<+*0m ziWx9XEVVFhvLbC#wWND+U3JoK8KuK`oH53ABK+Q$b%Vcukj!0F;Fl0l9*#EBvnIY} zd`v%L)K%~A02B+m)9fmtj)1t3OftT)m;$VaakEdZ{3Jvl;M}Gw%e%KIsAa?`GV$Jh z0k`-Ep6%VMzi%Z;%3b^QK|8CbI80m4bvTN}^g?WyACaeG>Xct|7X!ZO0_ogU*7Fe& zHx#*Ta%pzy+&aq`ur5XAj4EBuQWB4Kb$N?u2JL4FMr1-9s#EwSeez~z>o(4}AJY-W z*@B|UaY?Z@u~8R`zPPTRLz+vS`)dPEPz2B;rCeiEJ-mZ4A^nxMhhjbejJ|(x`bNhJ zV9r0xa`k=7xsJlTGWy;eJ_fp<(EATeSEz1X(Ma*=T0N6;M`%|iv)bUX*n=gJzWS3~ z54H!tW$Y)x3V_QKx?Cx52ZA2iU36r*pwJn#2F{OhefSniTt z=C6n-(Qmp5d&Y3fp@sOJ)b74J`FJkG`IEZWkcn+^e^3Yh?a9b}pne82>KoRd^$Es^I+Lr4Fx{**Bj+N^Yvqf*^E zj%g8XR_;(}lQdr4`QU(srQ7pT+Sfz5RK}Ljuwcwe*CbVKv@XlfT>s6zf+uRr$Ejm~ z(0cE7Iwj>w&Sf3GQFp85r-7VDOp@(pp#|%GRFsf{Q{;ZdrTmfNoljrz(1(E|SMX@P zH=3TA$URx?-?GMxY~h+%QV#4y8uDzahpuh0f?5J!zE|#&3!C4_qWrAYs}k|BG!LZ; z#;hQ}h|iGp;rmjH5>w*T((SD+3>WbsT1?j0D0;SN?dcPKwfQ^g6Mnsh3Sm+N$&ROg zQtlKRKd7_pxCmNNDrqI=GxLQzwe?Jm-IKo<`@u}2T)!Pn_}C*B$gZ;dd0s`XvnOiq zY3$iNnC`k%hCV3gd=L2Ai7U6>Phj?DV(_Sb6@G;JqZY3Z_Ma91?9>=7UVC{BsQg9e z;?iSVq-e){wcji`tUAR+vFe>!kJr4p)ry$K-x!_6zc#I{zUT7BgtMk9#8aw@ema?5 zB7Srvzpwk*mAR?Z!;G}5TkHwG1&=d+tNJ7DfaA^bT2Ejtq*aGxATl5QIO00x?caG^Xt~{ZGx^jP^Wu5z1=I5QxhF(tHdzJEab~7GNK?;>W%z|Gse~EB_;c z(2{QwH|ug>@Dxp4f<8A%Z3UcDoQ~x#g05rndoR!T2FL-%iU7(wC>GPxQ1H%FUJt$oTCuKy_BpsB4z zSFXN&U(c^>iUN})ORNe zyBW{;ZT-?GRv?Wjzm#aLYMDi^zt|6#{){v`O+M^&=#9dCKaGA;Zg+i#|J&+NX^@KpS3h}!VG;unWL8lKbF42L`$`9@Z-q35V9_8lDO8S(2p=Z_Jf z;O|i%53*wq)O`UQnV@znZ9mZ988Q70?exE|3t^~=AsY@sT^#}0NsI+RFK?AbLhq|YD3td(zm_u+G|mr?7A+M?Xmwn{P{Nx zIwTM7hk1uhJvS@XQV7#*Ct3|#YpB6;4~z4k9QCk&|JKA9G72nAO!G2`@vsrk9d+KV zv3_LqP}pAW-`qRG&nCWOR%o*Y^UpQ>yR*1t*_0T(3gMs|zBynGuL3UE*9U(4^(pko zTArdn0OD}7H{!AcD&@+oe$#<4nzgrQZxvm1~{gfU)$@hH}IKyF=8A!w)on^f zN8b*nIHmCOjdH5ce41d&W(-VmGJC@Y_8$9VropY*zz0KqKPan}o8MQ_V`TW=FBAdk%GR=2f4xqanDE zODB!m3y&GRw^6*Q{T%S{@=x*-Hil9X(57*w(j^@I{p5hLZ+z6PwiYFAf_C0RSA3Eg zSpW6486}k$N`%R0zeO=4PoPNGRk=*QcoBv-SOR3q{i9dBkwsG{k6DFGXZ+UjC!TJ6 zDe?F00g;zhMQ2gpilW~gMDub^2%a=)gs=d&E!-mhXbHqsjRiZA@F>B4R9E0_uVxVs z5tdoEeXZq`1&WLup1tTS#x=@15-Rt2J_6E0e5G%fCU}vLriyAYYOcft&8P9(J@CE9 z(kd0~6f$T}aJ@^lAw$2A8R)dWjmE;UN%>~3Q2SLthCRKDk8NHs#6-K^5U`RKH`x?? z@FCoMvQE7_tV9&u#yPb(qgnFEGoI6heim?X^5B(#-Jc!|>5i)l$Aar0A6ns6e|Cqu z!k7k!V`Nrd#Csmd3f(Z=6GONi<;hX>4jkJCDBp6e^N{w1vgin3 zH>!pE)NGrLko1$5g{KC8tcZ=vt;y?&E2IT@7IK*g7DBE#E62%pQ9 z6oHK^$MJc@Kq;FiZ%P(>J4KG2O|9f7&llW*TwD!)SZ!?wT?gsv2Z~rOMFZbU6dC=v z*{uK)M1A$ZiDEHMGW-bhX5dWindnjVFBkb7k~~|(rsIM>n)_Z#FVvRS6U6-abgR~w z-6QZ~^t#x0qy8sw*zI@Q|3wuQ$5m-!4=3|0pLfpGG7A1$SXq)p)dH~NC9{4R* z8hUl4Af>(r-+uUT+m<=hB~28ouXS|#Y6s#~iOQ7x4&6yYY)w$i{CQI0}0c#03W@~F<%W~I0`{@(sg|+6zFwS15c^h{K z-xHtc*DJuCIDOIO#x3oW^;+rwW9d8t*?ix(Z^Wt*qo^Iks#Vn9d#`Hk(Gt~~r6@|w z+9RY^?NyuFqXe~SQKe>UMeULp4MLuLfB)xgUfoH~`#Q&U9-m_vXeCD$EE(o@6W2_- zS)LpvHi3Qabhjw_*p0pvjm@DeTDhA7G~h(VHsX`H%l$10=(}5i6-ND0iJndyfX(J> zy!=nYMsSB~|J&8`-oogHu5c0i*E90eI|EV*_-KvEiAal!@W{6pCWe%#QmFsQIf~Vc z6nNnkX`lQfw3ewWM~mKcIKV293p3!o-Pdvf96!jobvd!n&K1FkT~Xgi8its;dBEm> zsI4+z^9JiVrwDBHNT^{)o1{;(PhyP6-^eb?#N7#CVmR>%gxW7Ep}oc+(XwiKkW<>I zpp1JJ`?N{hRf%dUmws4P;1g?-N!gr)1@*w5fH3(p+&bIhh|K*PR~LiWScMH<;e}o_ z_@UTVcWAO9%Qz!{N*%rPIcww7Q-0tmsDK&geP^Ntk%=lA=E^l<0S;K6@M4c+(!@FL zY@>SAF77`HF6MtBH>M1M^ElI6k~d{!yd%cwI@e=^&8VO<_dPm|)dG9=j%Rw#UFQr5 zk2b?v5GgakAGZ#Xvm~zR1%sEf+$u4hMb88tUns>IJ{BkNTjj7v)s zXlbS+o!7xlI?hQ};x^o*s2YCZ5xp5&sy&6|xU{FItuzQdq?w7C=}5t`6pZ%Ad5>j{ zXo8Z;gZc$=bHD=Xh)uE&a_2GgMQ9(Kcrc>tGjQA{dxJ_TizXT=dl~4c1rJ`@St~FIMN<%gAq-KI9`|ftv zS1E_}O$86>g-lb_2p4Ko`2`-TJCcnJPnd0rV99}3uxAc&NG%mldfc>}Sre|ZO1@_8 z`+2atXy-=>)!oP-iJxSlTU@z!Pvd6);!PbMY`D>sZqY8NxyL#0Ld_yMnAA7hV)sj; z4pkCyr=dJt;axf7qWU3NURQUrsrdkEvtOARkZ%^N*{uPyuHVdg&0zCF;Sqi7&+fJB zQH|$+48B3qo!-0F3ALy5HCoX6Cxm=+6u~aSx}h$LQaxq+BVP{(zJfZc#5b3AgOeLH z|NguV$J}k)S0wm_3T9K0(%6IrC6VQz^4rcOi5k+yD$3}=CUnw7B=(I8AM$4aV+^NB z)XkmoSi&t^Z2R|aDu@;hmb9@~vXA@E?7l*q`gfIu?_wCP-}%>S{0p5~U%?z71pXB$ zzG<)T_^kl$w+P~%AN2N)JK z4lR2?N`MF-tbMZjdX(c0)xs;~#=~_p8+m5o4*8n9C+g?~$X((Fdim12vZ4RtUmJ;g zSX%n}Lka&FO|dE_vn_Iu;68&!5Q6Z5@>kVAq{UF?eZ>g6YOpM*z>57S};Jq*|+ zB1wqr=q>ZDh`g6x)lJm!dBt8R=cmZg{+Z8`}polzgtAto(tDt zpA8Oc(zSf^a=zJrg(-Q;vA|C4d|lVYaZ}~)X$prV(~q^qg-%krqP2{+ zlHZ-w^Qqd~r92MmEUL!Ec9~^5#cKbiL6;}MP|C!d7z+LKoA8!oMy4mkLp)>A_Cv0- zxo01}PS@Gn>;7I*(lw%&GXaws_SG8`1F#fMCCsUcH! zzFhM0*Jz-RTNbM$C{7dEF~GN z=S)pEqAE0s?1ND4`{FvG)16$y+w!G|5Ok?Q6({yZRnmOu ziQpwzO3S%0NUJt0-LUzUz29@Q-X^Lh_DetWy2czyD64w&L*4)VjpHQo*G<}3uvxI{ zOiFVIo8TXZTcCzc0fR)9dkq!+LY?Iw?xH`X^}6YyJQAGQ+vh?{b~`xNH$>OXvLkLx z!zap4$jvvQ-lt)8@_L-+6qlPh`vYm#&P~zBAzHt0IL8ja2y`a4Z!SvJG zqacnnp$t)RL&G`pyAUtFu;vts;H@=A^?&q{OyVixFIH3MHALb_xh^WU+Tw!Z%2lb$ zB^dYG10)BfqG>}X|AHy)BE$B~X4*tGo8xuIEx=YH3=5c>PS-+PLS*6*us|PSUD*C^ zS?&F2ACbH&4UndzEGSE{_S2VZ8C}9dv+Oe#_?cB|r`YW`>G#q=NP5_v`yL{)JMo)n zKiJc6J&WGszNpenYg6qlCDX9I3WmsK_YU1es#V`*?n!aSFOnnJHf}5X5ELhXj zkI+7e!9Yv@3u#7a`Re`n?U`s@Jq41CULHLebBr!pFFaT^_g`j{iEwm~x2Ka$u%oVm zY*x}5CR;idnNm$5_}DJ~j;RPGB;iI?0WQ*{G#?#w_elii%+j6|MtGU%|5N6cOVLHr z=}ecfyv%O~l^kSEwYE!q-|fxpvpU@+uPzTZ&3`ev=XpGd*V$L^k@r25CD%LuCWP7? zigPaAzh&lzrxK4N8ZL39j#8h*Z8p);(SM1zT@zk<9b0fVO~v!^!Tqal5(oGs-i3qX z&X`v!s`NTU*Q|PoF%_nad;D3tFEZ^#)zKq!fV(xKTJHp8)DMN79|f<{%)bi~5q@kj zRN1j989{|1ha{$pXJb(+JE2eUt;fNpPN}+{H)`lTgw1qoai`j(=WhN1fl0n!yLP|& z$@@sFM`M~q!1X<^~q2GZSJFn??2R12LyK7v@#crGHGZyNhP3ix6Lr2`a{fk2}yM{>`i8 zj|a+}JTmTA4HL?W^Qwg;(Y1)&!S$=2k8^GbJZ?e^l6U|hYO2kHN`hNCQ#LMo4X=RX znc1RTRo7kJsfJqE27(N--`}&(i1q(U&n~d4f916@am$b}tygnQ+kfjG-8{C|^5{N* z%vpO_(r}GuufQe$hmv(~|2>c%Vv%3UX6xEgV;gh76r+T45R&$OxF`J6hI5v8=OMdW z?ZwyAId&)GgGRDATSHe+7}6CkDjA!dr1_zE7h$H1;l70RlE~KrAOqQ;Gzdf(SBg%g zO#)pI?-BTo-%en{@kzK|3;&IS&G;|NSEQpb!lg1%$jE;e=eU%+`s%?$mD|;fYMhXC z&I+kEbsOaI5e@r+D({HHx*4vO*Rc&)r;38y3owj6q zyya>~Z-n^wd;EEtGX6piPejBkk@I);$jaTSx^JDj>DIOn&DO28B^lMRjOJ|WXuYYP zH4u|Iw5INj@_uvnS9fRM#8}KA=Cx;-8U`2)gGaf!o!( z5ff`9&u5Z#Wq_gukj1BL4i+4GG)SIXn3K5^yyu(7p<#ii%jw3|Cj(_SpQg0Au8q*j zwg`xO`mr?OldLj>?;l=s?5aTte~r;BwI?KJg0epI)ewx)T`S+DZhK_*pl*@`3Gzg; z?Q2!5sn#c z+&w?^*A)j@(0z+AKunErgQCgfrV0_U9VJ2Feu~spH*ld*A%Y%HJ_SzWFX+u9GLor#f@%}V63TAUyh%}P0z53;@ z=X5^*wA?`BS(@bXECuTFe1SY)ATKq{mDpK1;a`wy>;zk?xfNYPuHTUS$)k^bPqggW zCIPOrX(_?yQice}^_+>#Q&!EM5iOg)p$R{2Z7Jj3#)arNZUXPhW%CK37jOsnZb0ZNx!?6-LR_33~dQ5wo z;M@TF?f-HKevBoVy7+*gFCbYIMu$=iN3cHn_uMc#k&E8Vmb3aQ2HVEIgO!sfTVw|2 z3#)7%Oq%n>yOMMlK_bw8ivLXP%hVg=<-|5aDrs9aZd>T2g~rSY4dV8<*6G(aV9bKt z)q!IjxwOY_>u(Bc-gQnr%A2#ueY>6La=TP2AlQhv(6ar@d>}Au&O7@}+l$gahH5qw zBp=Y@j9dafaVN9;UTmPo#^BmST`Ov<^VP$Vbb`QcJnDCG>8V|8k;Pi&kVm=_U+!iC z@BAPQn6BiGw_WPA^+(ISYWi1sIs0$GEy$mUGl2oHeP<^Rh|TX)rspht;-J>^QT?5* z>qZtXQO)z=$1GsOLq+Z8Zy$@H%ULel@mr-CtLN>k=3#letEJsq?BZEKmNSAoCw2;n z0UssRM_DHxha1gn*t>}+KK|oq-h@fM%r-)EXR2pvbce5A>>KWz&X(Lus7j0ozf83@ z4bBxNsx%ZyxEFL09(ANYW&P9oxoWB@HB>sImn43{ni-qwx_J-W+qB&QdCVai{kjvV zBtzG#r5&HPQ|nA&Q%N!x^1& zkv6AHym2IA5=?$nR;hO<}XITCH|j*djHkgHZ`*`hM)O z-;nQ<59-bRwM_Rxl&4}N#CwzzljW}il%n_3s%_&BzD_#5YQ*@H^?d2mQ!pj?v(|p;w|iUtAc} z4Ijr~f(mV8gQibw{Kl76;)AoX64hSLHTITgyun(*y-kg4|D8IXexeAS*nSzG_58RW zVv-@yS{iA=wU-vZ><8Nv8tN}d<_80)$UUDlxbUQIPfnQgtwT5I%)&*4&tLQr&Ka|W zy3Zt$^)E*7s%(}jwJ}v3&@x1gcGjm;K2p>Z2p;n4dcNMxbDwD2_w%rqPB5Z?qhkMe zxN0qfJcKL5Lct>Vbe(fm3cq%MjjzmU^pku7+|@u2heZC=Gp%U%(Ap^Kq@JTe)!uEYX=`gs%1VJc(bYdsm~T6 ztM9K1e>?$F8KyNIUV;4e|MJUl+@u_iS`~gSOwJlVkPj|WONc73Nu54k}e4C zkYZU)kK&J&7$ebtJc%Ys9&;QHxEQG^WU%A=)wx0muGWGpW21f5{JdWlN_%c?AbGSx z!gl?={04qTlERy!FXK-fy(gS;>LjAXDtx+M!&kGxP9i?Hp+~a7APw;h&F*p|BIZcH z)PoRnSIIk@7IPtX_I5*ldQ5GRdRHmu<6WX1;*$E}o-3oc?Bc=TL~%xvS8C`9CRS|F zx-?N=g>b4S#&n$T8lw8yvUv!b4N|c+OexkFFKM4`Uq{fO$ksxgnk5W(`#E|0-`MO2);};yg`+1j$5zkzGFLwZ!Iue@edu zHBs=`_q+2}6iozXH4;t@aWN`HdhP)p9FY9OfP9Kp=nr8=W* zMYg2*;9%}$4KG-u+76R^#Ge)FcFXz+j0G7m4l8?+o?ROpKi%_V{1i;@Waja=B~Xp4 z*|;hM#)Up2k!5!2rMB?Msbyb1j~ zSg-ZC?8cG^pl+KK`9kd2ciA^z`%=KOn8(G^%avZI-OzI6*8wH$CIj16=$$xlGPpY2WkZjeHmTW^Ft^*LF5^ihjsv z4`S$(D9YfCoq~H}Qw83q%$!-0tbBoON9txj)&EQoWH+fTA;h zT3O7#$+RJZ??59i%-OgNe_VgD`>Ggb;zJQ>O~WnD)t6cB?g#xbN!hQzY21@|97>`f z+Y&eOc!aZ43rUMR5k@>I%&u3GOM5$E3VDB{-m!XqWn*2B5e+xpXQ-zDTWvRQ_w&IP zsUF{dF~?QXQ$$-`;MXmrX4vdkw;GxviKQG(?~r`ODT5!u4v24S_q<0oR(4WPIQ+OL zfjdd$_|gF?XcI;I^}iKKiob|I*Js(06&H{kk<^nq|7%09e&4C2>gK>&PV_&Y)Sp&&#}kQNhbc{!FNwiM3ckzi2UUX2 zmFP25Qb2sFK#R*JqFb4Cs9nubhr0O^owLkPe{`(SCpl)7h~aoVsd_|&nz*S6nC@(t zSSh`Dq2Cd)mCtO^wp=gSgHs_?QiuLoS=>CZ?3*Tj=NDEP7F@^wTR<=n_j7Eg%c#~e zoxo$gzq{dB%2mg>`4_QJDSH;uQT zmfpjcbTZi_2pbkt7tn>`eaS*Lc+~Wh+GeXQ5PtUD0xfeH*L^!G!{lP@&&?rQIVoK& zyAd7ftT^O$cV)Mm963`n#FHzyW$gjkX2rUjhhZB6KKq8Fm>66+7*DJKD2~Y%Fuv))cRD`4Ed(749@qHr6n#>(%kl<1NL&@JnLxXN&Db~~cqEn3c zR(e1@qryH|{+0J@uOA<}YZ9>cFKDPgyK2|?n)V_r*1s6qfta*2yt^cOWNh=lCxwJcAgMAq8I~Cq*}&Hp zFyUELYGO|Kk*qF7n>ym?QuHl+t@gctm}jNL<|#e>hrugv;jxcUemqt8+lPsUz=L=% z0mQ^*Txv|IO!DPVi9L~Uv10qJKwVu&v66gG?e!kaD)!h`Jv6>NyL0Vj-4BVqCo>Wg zlY0+U;%;ms-|oD0(0Cm>I(on29=`qbK?YY#t9nt7>v7TXwNfV@CR}_J;ai|rphA*o zh%qcvF0$Qf4%o}@?-oxFHOJ3YYUNwa^-W|7v{ILg>%~ug;8ou#+p!KuLGj@L;cdF9 z^HGxtm2HHaW&_R@3Lt;ptQOtZUiJ1=G+4>pD&sw1`aM*1ae6etq|B7rXc)29-kxpS zPH~lRUcSb2wSs4Zt?ULNlri6euaY(FIu^(no3-~!x@1zP8MY@ErxynB-5t{l6aJZ5 zQ~>oh(q;{Ls8{TDdQ^*mWq43XYuCwMXj4!eMfzRn) zYV6NXK$A(ug8R>+Pf()ke#eI_sYmZ_0)9bviH&A5)r2!Dr6vEY=!T_U9FX6nT-V|n z4bALol=(CbkGjMrD5rzFY%^NqAAd%)X|Hl6s$D7`_gHXwJTBe2m(h_W*$xQusJCw; z!0J1Bx~6aX1B<-{OT4(lvJT!-ctw{YN^gtsk9tJo|IT7Zh{^Q5%g$s|`DBc( zhN-o*#KD;0f|FpG6E`scrj556sZd#HFYZMJYY&L@p`zJq0X}^Qbu2rf-=;|W%VB7+`+&}!?jQi}4nz>@TY^SOUM_Us&?} z4`#n@oMZ_^>`GIDgHa;waIoWw^*U3dnR!^S&715mP<5AN=|n)nlzsAa%qJy9VI)gN zXx8iX=rZw#j((rj3j(O%WcC~IkkZJ}DD)6FIj$zZQ*G*3aHcN5;$hnbyP@mdOAz+;JrRRYTV56PDFew%#a3jKl?4Ka;u z2e6FkI5EHuwzHjRptQKSWEAR8fAE>G_pY@g z!ZkUu9MI#6Y{xskyy*Q<=W%Sn0ns{(GUHwy-_z)1mNWC^Xc+wxu!hj{0{iA}qwO=l`}!qTMxa<@t|aHen_`k`ZHClO279019S(KV+E%EFB< z?8(_Je{k7PGgU%q%`D7T7)DRER@gVST)B%z8l8y-l}r~)@sTVrzfh_7Rm^JCo2Ho8 zG{2s`cwdr)|Bb8e%&4zcyF#KSW)|=cqA%X8g>{6T=B-ibj7dx^yn9M<`|9Z>q0@R$ zsL>HwO>o@@cNr{;C80f@)Iiu*9FJ7^~U*f z-*2%ys&S`H^QG-IjEVlFX}M`4%yDezu#o=7b)Yt|9-!X#yu?s-}-xp7C;hR$?)wLs_BC0Ukq^LyDnE-*Xy0- z^93g#%~-0YA}mti+!wqv;`h=|(5U=s%09tC+y*=Z#LKTIGK z>bw4R?0Ipxbg_oJS>rCm(@?jAe!n5g+)-z7Dd`V3yS;KJQsHy+GzDwo74}7BVH?-{ z#vdR_%;F8EFXAJR-`kc;Cl?V<96i>#^zZ%l#hX;^6ugOr(1&uz`B$#Fhtpl%d{2Yk zZMeQU4(CdxbdPRV`$|b0zG~q**7o8%51Vob-f!zyfcl$V7$j-RTshh4zjwzAkE+Id z+GW3MO0$0Fn`|nk$BH%sk;l z%`VyZE#8vbGvK@_<5h#AnKL(Vx$v+pwl(rwu2(clsFP#7e9v)a+zNrtq%|!SXwPN+v@hO2F^gzY)k|Vo~q>4)sLg{RCilvm8 z&abUU{y^p6I@g{M&t*26_LSpGv3Zcg7_6(44o`!^vm?)2@b8?wobSZEQ0GTp zVn+&|-6}vSK<7V^ho0qs*aM2QaNNJ}i%QiSq4x~5=+>kIP;p>2qjN#O;a8wtRO~xS z=Gb-Wu3OBgYV6afu<;R=QpipnRmE?czb%8~UCKt=@tmsbuWl+XcAibzi%>MYs1=7v!+kOhzxol_Pe=v` zZrTU}{UsNiWkHt+M5$ig4LfWMzw!8_xx{}>$s|G^X520AUS!MtNB78hMJiYhdop-r zQFQfqhWerdUy-itsQi<^9uiQY^B++em2*3&@1TK)6&}`_&`wr1U&I7O0+riFOzFQm z!*{71eud+1o;ls3OX4{12(!PSJS#8mEFqTIS=I>AHTmBw zM6Pmoj%O5md3qGXVDf1z4exo3N^+X}$A+1c&QF`xO&g0p92@t!0(%upq#d|(mtiWt z?FqmIOxp)(6h$y!@X;x4v}*H=TUk%XGtEPAM=oJRYFg<>Af7e(pb4zsFA;ybrDEk} z*7uiq?lwZw@)^t@^WWP9gURg{M|&=QdUh_{kWO-oUu+wTVJ=8dcJb78+f5T4*L2R6 z+q>66{em*MEA9$`-;>u*P7+7RVHB}Xi&VliN_8kqf}E2IPq@cOHe6u9uHCpX?1XS* z%=OUG(r?=7U7dusLgly1_yd3=!)O-1X)yKV^D9w1`bW4^Rh)}kzOPPBYx>YSt6sos zW4nmAdZeJj&Y}tHrI_Crzu)>?FD^cZi6)3Y>K zD4*+`<|F%m@YKjF(Q=o0K!6``KBc~C*fir4AKj~2eE||&9#Bn0E8O8BHLyuY}9{OXQA znzNC`*uRUCT>T@FXO2U<(rN`Ke4iTE*zqDyI*PXc?zRWAsW=o`p%sEVvowpMDrT=A zFY#QTspD@%N>%o^S;?zt+TCm2qq?h^3-u?2QzLYT881a&6O0H3X`5sq62${JyMJ5) zRk5#NX>avM+#|cu_=`fk@q9^5|0i;qIl85qXbk{VPJw-(4|mb zJPbNnR~s9JM3?XGRTgpU%$_b)yWH7-)H(Gmyy3zFPuXAo7Ap|AF_DB#IhR4Z!E$w0 zgsf+VzGQ9puE$xug{ks9DK+ceE7ptPtrXcq?E-l=VmX`43uzc0=&PuOWi(p)`8nx%eFNtLNKD&MY`X`mucxWQ zC^;m}yEYSr4_DT11H%aJPR`M(N9fqK@PYEB+)QA`w{#f}k5ajY`L`I=+W=n4Ma5~f zhC=#-6AgsKq%q@<(m0h571u6JVXw?}JV+!^WR z^9Q9RIzKKKPvtxwxk0fReSlv5D2mPGEl>!!1Glq$KeJQr0*T7$!JfpaQt4}lR*d-g zzpF1*Obt7*Te~wZ3{qt7>{za`Ef({nbnN2l=MTqjamC$pzdq{d0EX>qs{4So6L9(l zuQ+0Etz9+QK$Lzn$6zj(7)#Z8KSqTf9^Nqh1nEByG3N~qpGkieTU@H}(aJjkaCO!r z(k{STg7ZS$ML`koh7bssuu8KrZ!H;%AA= zh-^xDvhR@i`x0IHCu;vHI4^1`_O)p|4FU{xmJ7@I6I8Ig=~M-Jp4gJcznxpD15RJUe+Sl(?7u4)_E*c(XCA926aFfzdeM|- zgS)-a)JX7{bDR5_KWShXN~#e3@Z*N*i8%N%%V_||5CYmkvKcZgjEIV}s;e2v>h|BG z&sf3?1Z4{Dl*nFzZtt$C8CzCBkfXWJS5i6;f=>Qn~R?CeC!3 zV-_(Y^d~PL*cbxR^GkQxjaOJSh{Ldq_>D}umsJ_hJs0ZAnt2{yKr@v)&Ono0ti~{k zXIj5Yg3A7NJV?MnNG`k%BTRF#c&IVZ4AGm5Ndr@9yxpL~#IQ=7OpnKo3@t zw&q#G``V(``zbcllL+F~Gc#%agYpFwVxw;(<~nh-^zpn{lrgR@NhCjv%w?<4kq z_rA@s-%ymM7_g-1A5G)(`PCgzTZEMqD>fVfoEu_+`Yss?XwxH#ON|k?Gv3=7GVG=< z`B#!Dt49f8q0|FPDi$}X}yb+B3dOWzURxB)+7y z(sKlHc@Z@x{}=)*0J)-n!+^a_=$!D3^ATKQLkCF1yj|u}jR;@gNZ=nd zut%wd;BNi_+vBF>m^qxI7x}li>^viogy*kK|ITMAlzT7JJMwY)4*5V&^JXs2m@(Qa zoS=10my^5%B?PhJd*f1%h5@F8iY7y>sEg`W6eMZoeRDeiO4Licg=Qi6voMr+l8k$< z#5BVO{180P96lI~G54hFI#EXBXnpVL0~-dzpD;8lUm2`AJ+w3*@x_8E*hVBbH8H$h zI#H}u^-G()`j5xGQ5=iBk_KXD@lz+f`>*%kcu^qf8&}iFly;NjYQa8l7N5mE^%%NH zCPSyu-qI<9fLqedGXi^V&Dv1-`i_?*6YH*HYndm#bKi0|0K;VYZi~!S^&}zXnU(Ks zRv1?Kwaj65ImoBKMBq#ZrzLYXW<45!p&eoP(>nh%bD2N(PzpbjsUc0i<3N7r&R)3@ zz}H{t*^}a=jh3DdAoJ+lDtxIMd^Pr_Ht0)Zr3~O>D09p@Mcl~xWNk3}3clU_lHu++ zZ1#EX(UhMTwa=M&Va-v~DCfYljkzGc=yDQaCRlW2908#++LoA5qF4nIjfB)3&Dauq ziX*~BT7tlzT!%@UUz84H3Gf>k{3HPhFsK&JrpviR3|s^mXg5>mAz#YZS}eMu^@_Bh zOD>|^y?U|{VN3KN0!XQmnp)A;OOEz2zz2eSf=CxIQ2)7baV00Ryio3ix9RRJ?e%7) z=m7oN%rla^YmS3&V2hy3ak#9d&kPWiUH5xEL0$#kFRf$mBMP!BOx9w~k<{4Pqx6(|y@9Sq%0IGlG`0x!A)Y4jL3R>B~Pdl)czCqPm;_U~i(- zS9E^#H>K``XimI_dP!;B5wFY87lJ+ltR0vYtp#aN`i>?b> zV|@pyW#>jSF}B}q_CD7cBp*|5cGnQ@kCGAuPWv22l094G@FmmN#Au5xvva-qVJu5x zw`t$tl3d1t^m##_#6to@HoLJZ<2*oTI!M1vFuC9_iNcwMpm~;GR+LTD9;$@UTl58O0$F>%2s-^H$5dX>zJ}BhHFhDBIyQom&*=J(0%^XPSdG8tV;K> zupRREY~~fYT_(foh7{;5MvS66S5Wd9_=Jyuf2RK*?XI74Imqbzk(+4oMW$y2KmZy; zard^6LWz(;_~Wh}Akj!`_l?m6c`B@zmsmdc#35v_;@P7#`#PRy=ge@uv*_f|H>7K6 z_TcB%!xb`*l-p()yCa$TJMlZ`G)fud;C>yZP%?F)#&?@+Ljs751j(H;aeBX=jL|y} zARkpAI-?ki3_F9nt+JoQN8F6-z|1Oz2(A94@M11*UWEYx`cGT`P*UKsoKFuZ{;=}j z`1(=LWO~NOZi&0?(FhPk%gqS0=hD+Y5k&Bxw-#jc3mDGG z9y$_57M)B1j&36K*K;uXkZX2de!;Q$+YGTvB;X<3#(y~ax&IffjB+mY1E#0&F@fG6 zV&I4CT*|e|_ken!43RlGvQ3$KCP)(NAcVnl&!a~s&S3C8gkL4Te}VH23o`Ue@$ z5}_y6;GesVbA!YzBV;2Kn|DL`fJmDo=INJ_o{=Ha2rJ65c-+ngt%8~^S^y0nvg$FQ zK2c1hd&xjAlW4vh4nD?P3$K;DT~3s7DTIX+SX1}Md9s(LJTz&V4~548leO{CKLS5V zGG0rh(sE|^$@Ol86)^Y53qB$AhL8T$z9?sgZ8DwOKX1w^@Ag)1JYJ~hht)d6b;hxq zVZOSC0Z^ce)ImaQQ1P}v7H|)^n^s4PM^zmoL)w$6F~+DFPBoK1!y$4e&e>WIy{7Ho zWkz8XMxJ57U9nUcTGZ5itA=Mrqi-JUs0U`m;hWh?XvUZMWc?Rqp^ExG`1;mNx|oNlq!5!);2-TG*)5GWv}!nJFzMl{Q*L9U$yJmiVItRzN_p(~k~! z{pI_$hjYl6)D+?^yt7Kb9tnl}`0T+58vVkl^=kA~E=Xs05QUDDtl+UPN+ zWrhr(jemIi2^pRJgUI#9Q97z;a5*1jBrHXrOn=1o#7PK7r@6>ST zNXjm z%0jHyO-s;{n7v>`4$FCfwiOXB`(%3d+dMKghdcuVp^7HI&6(S>BLDqKH_DdY4A2XP zQaqoZMz{YiRFgd!pU~q6VHAi0&dMOv4A4TFQ5X3ujptZi^#=p@!(i)Nd0Nji%6i(3 zocMD4&)WzXpd)Ucl$Wp+3UMvT>`ePzVuun2WwXsTgN!9`iCo-xBfq5*wVR~z+xWSE zHPriAPB5HvEt1uRQK^LNOdF?eiBKLKvVum0S!V4 z_AHM`>=%nI2|qTTndaUX`16#Hio$8cC6uIFQ^u3#x4anQlOnQA`IC0L(NGXUJn&hl zo3s#v$8rMFUK9@_v4UPsI>pK*Si=~%LrDo7HkcDCa=w-Umm@`G^gqx19vZEqawSTj zdC80{DN5Heqc?d$sZ1CYEwBU#O;mN}<8Rvc*i8-_@fdOUrz2KvM6%wbKY6z(6Y_&t z&GL%qFXIaLb@G8{t&qTZ^{*v?-+WC`J^~U0(a$+|(}OfDIoDri0z+pw!MQU@XLvAs z`G71B!%b>h{np#uN#{neRJrOnFWb6o&trx;T`p(#k8AzH-CsUxoqTiW`3uDFk{ns2 z(!j_r^*Emv?G`d-DdljFAVV8!`5#v!rKhLcSQF*rmW!tv0Z!Sx(!g?s+z<~Hl&~N$$x|n zN)Js9aqqsjj)5rMFfO5@$D%}k022szM-3V%=Ax5J+X-$WWWCqZNeDwCj1*5m@W9dR z2Q>LXn+bR|uYQZ|ThtaOh#a9N!LeiN8iYba&-#c;udLlp!RkIu+ zsR)q`5~)NgaN$9C7R?~YiuF(SW2aM4=VWJ{Tn?rmkD<$b6)2a6X`4wUz(j;28B8-M zZyv~x$V+vBg9nBjO@H5e@d`=hEO%+US0$|`6UCCHBAh!}9)-|}7%QHzctR@1-@i*= zz{6G^(QFCp9lp?HAqGb)GdN&L{OAC5fRpk&!8sz$+xkqV7>cZNsRk<$4f@{;)3ICp zd2qR&EQ*MX5ro?lX+fUz(Ww_AiRSpa2u6!L>v{=supkfykDEaP!U<9PEDA1+oTdq= zw7QV~Kz*3xGj$&h#<4hDgcFto5e1?&lH+SvXqIHo%rg?abH(O{~ougQsWM&Qic z_mE0Of2x@4Fa^m99CltwhI;@m!0JJXrb;8hbK{x>I6rM}qnW=E0Ze z+4ez_=t>^YXml|{*yxPc^*B0HS@@-tlgQ{h-&5&~4YPEj^`LX3H$<8$C;Q-DNGTc`9&-ah+0B(%%=3vREe z3Y%dH(ZDqeU2tD?0o%1oN!R-AXfP!FHyAoB0FOHOl`ow4{EMk`-0R(J@V)QM5_cMN z(D&K4I8MnN25A9zySmJ6jbuzQh3Caa+SzxE!<@iyhLr zREt2X*dQXVg?>Y6#!LS0{F>v~TAq3oVVpo*9T@Gm7!!UwPfI0?ywB}iWHCQ+0kdHV%sw#HxAV;b*{>3xZ!$mTc4goNIK z>y0R8l+{68c)t2t0#IR+XElKtVLypZ)Lwn_xN9V1{jwiilpq$CoIozj>@T*iL=Rw{ z&Z*k9GhgJ30XnzIsH-+s&2XY6jwph-^(VEWWZd3?RcNm@bu!rN3?gJvCJ&7KVxc1e zVCs95`m7J+)%%P-z68=KAeY-ugx&vjs!A}yKk4v012bH~sWTKZS*8uo+;($2DRbj3 zc3n=s$&K9y*4w(&t-n>OYZwjZ`Hz;fzu-A+C9VEz6}TD6r0_KK%gB3s&G3_?@W*dI zX*(X?D}2eE!PQD}OVaxt*BTWc_>%HAk65Wx)?bb5ivSPtl_o!ZMBS>IX)~|CZm9ky zJb|TKTep=AZeVGV(f@pN`f`_{%D6^|H(&tB;MiW{WS8=NOh@tqsUa}l~*m3-(1%mLFwLFww7 z*;=eBTww#UK)soYpman9@nLQt_ivuPq@Lt$kq`aP^=I@7+t-T}HZ(5){#^c1h!c{b z<6XFx%ncQebgetpLr=$7Og}7?6vcNzN#|B7dq}T1?@`jtq=%c&vN-n@A0NZg4|u z?-}ZU6%H)5IZ`bXnTQyuHEL3m>5m5nIG$?yjB3YrznCLPnI&8!U&lzp?&;@wqJL4& zRlokbd--No&ajtQnF2VK^R*1!h?nkvWumKd=szUf#~tMxMM>(UfQSl?;}`n~B8=|p;m(4>PPC3I;@6{Sl@ zP(ZqXgx-5-g3>|7n+`$%rI%2pDP4N#QbG;=UEI&v&wlpa=RF_Kb>@d$d>|`p%{Av3 z|1svAzrl#V5p8!jmDG+K>m%thmWIo(d3XYw${?;i-jS9s8myH9k5hW57`1@+*VHGJ z&DgMkQA>GS8_9B@DKVRY0AtfgrK7(uSV~8+&2rv;EdII*I1bw9^5>n?xFN?@$WsNg zoqC>ML+EBrtEv)ORt<{q1x25Y*nmq=JG<@&5FVF-;O!*TEX2797UUrAaWX{)4tJ9)N1&223+550~k8C{fl5lFen)>(L$iO;=cp{q}!;7xQ348&fpmxay@>yV4AM&kU zN=$V|%-xgdd0#p5tY0OvD0m=tt0s|E)>i6~?j>0tgJGeF=xWmm-etFZ!in8-Hze;P zaW(rwi;99w2EqZKOdh{kq@wy8(OEP*TJA`nI}=hbo#*78bb@uNOykAH$VnObJUKpp zE~aRN9lTCgCKeLp#XqZ}{+1}L1)T#SH*QD9LPGoteCEEED_->$ORheEQ9P#Pp%SO^ z1l8j5|McyRnp+aDQaY#Yvsf0UqDxy+IhzoUnP{3HDL!Xhbz$c@ek{MM?yQ6pELprm zU#j8kp(XQzxFJz00`lRU;lOI348v8e%DM)dD>BWOtMcCZ$l4R|UNqribvD)0#5$@O zy%>dw6`Kj(ZX}R4>5EESmQpo40~=ye{)}Qk0I*%K%|IaQh&s$aCBIvE`G)?xUqc~^ z!3sLzRFD#KMyAQLd^aT_Hb*mss-7aMTV`cm&y0P7)-0vvH+fD~VMYWwhVrO`Zb&LV zfnD}oNzz8c(96~b$D2Z(|1+RPack1d2iUnLCxop~W#KlPsimG=#q2r3N8jMi4`@M)LeMk@vh)I%P+qYjsFT9hx%63&%ouEcjp5O_NWQ$-Y z_(8eOiYAN4KAy?r1$sxiY`V6A&6Z}i>reb4Vxf-QU|3c%1V2n5AZ{_|*?jdFMB8{X>PDBv{>0z?*Q-(RAS%qpK3JvQW_=o)av8v0?NjwRFCgMH2r zWD*xH9B{|a_aNFutPd_<=aH~zsN^T$q>fkWnAH<{crM$RMNlW6d` zB;ikuVSd0%hn*E!jFZ_uStWGoMG8rk{?ICr5^m7YL6_XE^nmNFNGa|C>73`C(ntEC zzAU-pIPR@%jgfiklHB{fk8DIv2%X2damWXb&V@n#RI{iQAC@ATK}nqjpx7NGFN(V`IcYTOD}*Dpy#`~6*%H%jK+@;llW9JDeV6=Pen zL+#fZ7NbV!zsl}&wEvJ8OE{SYqpvjNld;BMFK6IQ#!=7FsZ)JVrmJeOeMRTPMD{PEr#$u>N&dhF-^3}780|}?-@9cmR@%8Fi^H)3^Nh|knyQoJ z4&iX=@|K@{$43%~-^4)dR%6JRV&LIU4kI{pLJFQU@K=lyu5U2-8qEH@@s-eBa8}WU zv8cQ5x3$iYNSDN9^6Z59vPL_!or-M=LsE@DeRfhE{4tU=e{NMOg|Dmzi){gY#!EXF z@P5kZp0m2OjxBwt{U;v%t_8q=*D73eF-<|%6*2xcU{uEqC#?)mptX1Nr9wUns;B}H zjO3YSx5}GJo^Uw5271cJ+b5{y#+1_UceEeO@COmlzjq_RBOs}O(yxJN!6XFq zLmA+gkBi5dmfyU{S`VwiFkxPdH`zMV+sBuIZH$99|Ao!ik^OnT;rE;d#c`#IUo?=n$(K%nx;6<_TjbAvS+$ zYdaoYug*%k(~$%+bgFfPTT8~6Suty0ki|kY9{gk{rokmH#p!(Q!;o#(X~?6B zg4PqAif1@2?44V7C=SZbeofzp^}QT&D)A8;aYnWpzu{QzI`7>^)lG5|g~w9^V8sZfNZ)^hr4H*fl2DN(UAF>MRsyk5dtpQAHSl0E`q@6GGyS^e*oZuI zqdV$g#8hnJ4%BxwL|P_T!AAW|9n+B^-nynF18^ftT&<)26nU~JQW%K~;fzy)CHoMj za5<$vDgtY5Nj^QF~$LsA&1c>WBqkF zA5k;s5#G{`1W96XWqd;#F+K=2H}RkNGk&UZrSO>!E-ZD7&TkJ5T5^CJ9Q4ZEZM|FmX*(Q9HEG zA*Hfd7UD&OO#W^t_7vwRLXIl!tN8~urYt+SvQOGi0uo8smk(CyA#{1MLLi{H`#Uj@ zy(zK~FLkR&@cvW@9Bde{H6+A!$bn)dhNd)+h${2)>ru|bSMq$+lMA_Um@_*j+Hceq zM~*vfimg&Gb#b+h?vkMA(B&5;c2KXz!V*Xdo4=+CAT`opQ(-fmTZ?r-!Zqc=FdSY( z7cV=j)FWDM$Ob_pP)V`?BC~&?m6=Rv*7f4Oo4Z9*htV57;$9l;8dRzi)GHbsvfuYe z&qDSgOXxH1dk{Ue+!W7sgnO7(iXzS20qyB8!dXW5*^0_OiDhCK^L1!AL5m7FaFezw zNhtce#@iYh4e}n}t>I1(_gVa5Z$!et`j_XJITj!X!$0X5M5W&piITHE^bg4 z8getj7^7`bIpGci*_XjXe9r0mUN6)7a?z|{<5%wfwKwWRe^_NQN33V5H69L(b71^Z z(%Kp@6)&j#@g%*9GU87Tlkd(9apejLBlRR(H*giiW?e351d@nwBk~yGI^|fxpAa`X zPK+e|RU$fjrOc6YIx-0RRfcIW>Vw4(uFvbT#ZZ*;>%OEPHerLFnWdv-gU{X*it4PG zHRie}6J}$c#a8o$PCRfKi#9uI23!!wEi!t{KS%@O{>a^5D_AGKH zGq;A^prpLrg@Q&D`y|e}-oOnjR)PKZ+q4s_s1JWgW$ilJgCFg82FDb2Xrh@(aUe{d z(8a3Z0(QAL&AQB+{1u0EZLD z*pBCmZ5$auPB($Ttwz}Sv_yu{rZ`zj>eVh!BF&+zYUFrCTUnycxBl1Tozl3q)K3{_VV2K7=TmGGPj z?8_as0d9Or%>4|;qk=7GX5qrL*ck?ue_|O;nxP9k=##*4yY9t?da$ggHt=B9q^{r~`99J=?>y;d=?462hJ7{6 zMht&h5_j!Uuo0R&AY!wpHs)^?h&TDFv@e(C@g+JZgz9_&#gU0!7}CWex;{y9ZII ztI?ALNiAw_GN68N1p_u>-2~fhWFN5zRkF&j>4Tgh%UtLt~K8c)p|aKr5LYB$d-q9 zv{#2yzxSn1Q&jO79ZfHwl?g4|r;ydcaE-9Lt!@(NB!;AhJZvXv=NrI)9Nk|*uzgeT z53WQlgZ!1DZ4YEPd#yi#_R!*^HXgmGJZhel^cY$teq7#mLH^Iax(X9!>NqZs{W)2| zb}eA_4tQ`HTgEfRTHJ?Jz?w;A78_?68NYrSw4BS1XN=y8wUNlm4?iqFeG%Bg{E;n& z_xx_x!w3{ZJ0+OPtHdb#Y5mN-7Ips+f6lnwA2b$tp~SgJO16Af9Of22CB1gP|hR%F2T+!?>x-w|qKShm;<*&8SH zjVdS&3i)TgAtk#b!||B8B@NYN zqtW+ht_}}2V4427f}NEZUn7|9K{aR0^ZCm~ro4NayENg zJNNsiRm-6uxiC82Rk}-s7(8gaBtMy+{%mTV_7ZHK=7Joa9`E zX4*>~PprKZNVIm{zanZz8>NBTM)A9Tssl@zwHQ6;lo-P%hJ4P@69-kXN)r)jJC43r z1ObbA)gcgYWptssp@_)*rvLphf5DJkR8jR`FpmV({T7vT6cfvreMlx7QzJYF?_P*# zjGCAF`xY~m!I`m)bOwCGXj~Kop38*+~UM|xG_5|X)wQ^XLV2?8nbYHEY81f#nZ>FtdUs+|u zyA1ll!y4jz8QkPuAbAD;zi@stPAdZPrRO~^yiN7>5%LwET*E3*B=?L|l%yv)D}CeW zfsNSsGh*JxNXwq$mA%X&%{M7}@uS(Dzat+)SMIxWz3J<`;|$-{d{r%$Qw^;YA1^*B zK+#DGxjpAPAMPPNEVu-y$c3!gdypuv#eBZs}`5LA`UQ})Ci(-ON@@HvQ6o{X5 z1@drBdH}V}kBPSd9&pu6R56C+S_+ptT8bA(IyZl-Xike4#AJLYG1XR?ZxQR2=>Gjl zSUYcRl)$L|&QqDgG=zW+Pz7 zF+VCsF(}>D)p9B*n!sV9clM=DP)ccg*Pf;rLLPK5*|6b?r^{q}Fksd7P(`LN;8l#r z8&D9*=d!14`kknpYqkCURLPXrc#D^7F|_g#>8}|wx$^$xOJBG?Zj0LeA^)b=^#l}6 zl%~-&Qe35gXJc3dRDwsM+@NfZN^i<`7p)gwWkizPWiG~}b) z+mQP&R(LeGs&FzPqA@ryZd;s663PV;H5<-fMQ>h``>(RpmIG#7?Ls`4o%kwxWr`;C zA-6q-7Ab*rwFv0$5m^)c3s`RKDiosX>K&i&tp}jg31ZyIN7CGp7$t5;2$;V3?1yx` z69hMUc!Uv6yjn|mT99bkOZ2x@$7crzI464=Z}#)MOmTuJxCh2$&$*J>-I|f!<0hnf zM*0D1?!xC-ErIdt6c74XhXT z-s81X7qSULdK@9&Ni&o4II^2CBv=O0p>FxW`v7K1*~OSV3KR2SKq zJY!2rb+&sRIxjP_QLiQFFF~~SINo(=1Zfu<<1@qBs>G4%p3z8r=!oRDP+ha8B4_da zj?I#sgrYvwH~h{4URN$#?ri0FP&yGU_kQ@90l|!_3*^6+2DptUjVeYpH7k~gG8LD8 z1MAyuc)nU+Hbw**KZPAK5-N|~Db9cUirv-o^dTY15j1CclUFGv_fBdPTRx{-e!NvK zTUaqJOa<2=w=!#?jw!f{+zegF_SBvt5srmDCyE{7wu^^h$d?scOa_U?aC6_?h=een zTkm(%d=e)x4dpq{pHbc!O>PInLb17@Xpv2)q%HB?)8s>`3gK{tx^pv;eEguOa>vFA z`%J3Mu$>o1`2~GX8mOtPT-CP4!~LXg*+(0@wN~6i^vu3v2nD+6q_xS@lG*11;>U0h zNC}*p4jc^aWPH=T4Q@gXd<+ll23xTxFK%zzPVua2ea0kGh1ikI{AK8YL}=Xf@=Ru8 z#57-samiO3S@2ogC>6$DN49pgYP90*^=juoR!(+$#bpayIF@dVyy3i7WQD-HINx$M z5-eyPq4~23MO&6^H~gWF`q>>)N?K~6r2eXETgl~)v+v-|tF4V{mr9qFgvwJirA?W7 zOSAjKmEUI@fQ>ii0Gohjs z9~jQ}6Js>=k-$*}zJep!sn9GkU_8 zv;fZAH6?>^hu3*WRb0yvn-n zqKm8Saozum0v3wo!Pvzs(`M_2(#mfJLB2>wT_ex7oN9>!@ubl=gRGhB&kS^LPXW5T z`!9)-YtFf`W($|Xv7cpU!VAgo$NZ4*^0{Li$w+uqr|7w(C9M-Txli;P6fe|zc~G^Q z4z?g3bH%aDB@=f~HhAZ(CwTnVg_FXXCOGJ%T2=#y%X|rpxLKji_e?qFMzL=2R)F}G#p7w5 zOW*Trx&x1qIlES#VRLeLDBVCa~qys_fNbWD{SIRC-ZSO1+GDo@YtCdMtzFPq{nA z1SUfhw8Cbv-cx5pW0-q*E+aMKMIznGXTsm$?67}5SG%s$<2Ic7NM(odP0>F8h+8v2 zFwR>27)D-cAhsEQJeR9y364#1V)!bRA?aY*R5PAgfMO`Mr58_&E=_k91qSJo0mg#5 z(vdRB5!#cqsEbl*OiXv)V7dtx)@KZPHSj1v)%yu|jz}(=fROyySQFQ>Ms+Am{hag! z8Eb*E;R56Z5xq$_GVDzX>sZ}xJ59dsOvwy99xb;d-RhB$J|IKhMt;)MbFFE<=(*2Y zCSVso>Gz9%?{V%40hEo=QK*q1=tzB8ZJq{xRoxvFU8RncTPuxU-C)uPs>5=Jg3MqL zO);e1CFiALZ#P|}LJ!TRYi}g<^2LBed{TT=3cjo%bG3XasdLP;28O78dWI-Wg89MC z;DFT7ly)JBh2Ka=_J{F^UJh1ebIn$jC}^;iDxc_^I`2=Cu>~iO`s%{p5S|yRR5g7l zegJEY6pMc{n@HkJsy>)vo%@=C4c(Pc-0~+i-+I8c+=A18=+T30Equ?L)WPUht+8pF3y)+jOEiA0{Y_w}Mb*^5!x&@&X zzl-;A_O6-n#G5p2b%ui&SD8?0%^of1>@{L)y*<5qZcOi;HVu{$Tn#U}W6o(R^U;dD zy9T!)1$B7~?NO&1yp3Sbm2)S2L&B81t1soq?;U3lelkPiQcXe@HFWsYLVRb2UCYTv zTrI}e{2v@?ZWS<(NIN>cAFrUW74G9Syx%UID$*kOxv%IF|KQbNs_tk*v8YnzqrTi( z#(fZkF(Az7>HEojiX>1g)qRyXb2!|`lKY1uE87$}V94JcPb5-#{?n#e<)N=Kww@RNMm4zWybMRGZgM8 zCi$sa!}DeI0>q1*Dtv>YjrNdkQ~j-NoI*k1W$T(uwTmIHstcz-AeVu0twU1ekWSi8 zMW#&<^YaPCLUMcX@DoP@>~P$dFpCP>zfR2%nM3w5O{ zx<#IK&;t){o;=r>MaMEmxiV z;~0fYHn5OQdDD;0^TfnVT^8;toXFy--rlIoI-GlIOpnF5MTQPRM210>U-u~@SImo@ zRxWBEEXM4?DJ`pF6O0feT$dV^T7{Wj$*8vaF3~$NILmhtv9`v{TFX&*Au}pzu9dIY zD)KHs5HY_iby1pgTdD}H;KNcmlUMv-=HN*I+?86sCf+^UK9|oN|CDpF@q<+@+*eJV z4J0*})pv|aB|`}9*f-+>l0R~}M+=4^s`5_ob_QZqZ2YJmZQ#7usO_bheuI)Gx$NLE zqYTU?yn!)(@FOWD*JLUj#+aiDv&lzRRD1=KpS^ucM1&Ft067V-_Zgv9AyvA;0!)?} zN>4saN{`aZTLeX8YdA2|Pm!K+fdRe8~=kiX6Ak3N*oVPRu4^r zK7uKAi$nnL2U%L?xj2)w$~!4}mPHW+Z?YPs>QcBHwh;Th>no}tUNUy&Zky;A!M5h5 zu=Aw^LHlJ!3yp&m#}#P$_V0$WA{@VH{sY*P#NEtrc6BF3)@KUTzg|1fKC=7~auK_j zK$sd^gz-FpCZH<_R=UhEDUcV&s z^OktH#Am&gECsQpM@-5dpbDF40`u#vez)s7nn(JaQBL#OPqD7^z9@)a+48T$f+~ul z2yZvd%mEeeuuH(*iDUuF%+w^@?u1FQ2vo9`qGZY8k=X(FFPaV2^JMu?{P3f+5tiOr z_O@Zg%Xcooq9CbFP-HV@c8S(XinHMSdL}Po6o4W9#N&LY5)d8u$yQl_wb!y!be!+Y zt||7sO>T1B$F$`nD8yj!s~rVM^}vvEb(fFjjC7OfqgpbXe0zvmN{{UbXS$Ye3`+5s#}k9O9}Dr#Z9PY2#!BST}@Vw!|02CK}J z`w^|QHyixBW-{srRS5-7zbx5v>Ln$gyKG$d#=ufC#L!$8llE;v0%0galWSjfTp73p zR@2&XhdhFsQ`pE{-JfHaQ17A`08o7A+|?6Z9gq?G_1B_!tMC^Ac^F+@4dKTd)8&& zYagw;hl7(2jVX54!OF4J@yo^)jh#n??CkkyBI%v%bL1(H!!)vhWUwK zM%r#cUZ3nDF?Zcz&!c8!x!KM>ZYSRHD!PUQ+Gh1_^UJHZ7F;&!#RFIIh>?W+n0;*w;4Aitc`8^&E{;8Lcl}+f-Tty3PKERV^n5&;OEM#%|!zwZPIL%%y4QMI4^*udXNGUL_7=q-J4RA!`+ujC#VS90USBx;fwh4(5&Q zL?ZP2bu(~a;Nyx%6a#}2W5QOYD|KoDMuU6b$oh&9pRa69__ljJ){dz%R)cU62b|T- zTRxwTYk3Y%$6bkX4`G$1ysv`#W4(S-0w)o9L@V7J0|&@#8=np#nz6~xPN;9sdyMQx zTh@0{fLUKl9W3?DR{= zebzgCQGT9qS=^HBDGloiEPBD5w%+9W_bc{_)NyNZ2_$T(oHTp{S9EnT9 ztDH8|wgF#PEp|wK2N!59*wCzpjTId4LQayr3u+PtIGeg5z4K3zu6=hoTRzk9E)(bS zJ_fw`2j%lP_Vs#sHpF9@=YK?~UXkO|`}GR(llp?GCTOP2|1ch4TQRIqm0-gdp5A@H zCxTbg(;%Rxj!?Jbv^K=UtThC~Y6-!r$MsFlmlIv8tt$c7GbW7}bzEKiX1)$k@LsRR z`=fGC_5>Fu;Tqh0kDSUAJ{ceF0vYUM?Z-B%!nsMZdVsOFzxznOdp2C%7-Em89y`2#B-?+CX>&vnJj z7FI`HdA#{;p(oozp>TV!2i)t|LzW#NGw>~6*Y|19q$_&RkXhgj(LLG*?(3Y9YemAb z9Itx;A-)Ri1%m8(Ujm$UPkQ#6Zml@z;0;$+kpRn2ynenozKWtEj(3!eHqtAQyKpE+ zADzkyo)zPbkW8x_#X`nap>LQArK^n4h?==D%7wkfsE*=L?W#IyrG8hJzQ-o_Db034 z5w3;p^-I_0x={wJRxPQOZ5d_RHe8sd8kX)dzmTPo(ky2bD%3_6Wvu?r0E&xABh^gI z^y!xp@{7xt@yb5YmrG0kUQynDwQ1((f7d2=^4XUit~?Y_yN+{!myxn|SW-A6+T)V@ z4b5q{sUo!dA3eZp+gxoqkT}MG^80aEw%|dg3}d-C+oqbKttOjVJ5Gm>SoF@?#M@&sA5HvLbN)w@cnDZ2$iKHTcEEG9|9i70 zO$KrW|IwVH0mr8C@6A}{7BBSgt%HFB*xvLXZGvK3)ng~qHW8#X50ubNNO2;nc{N^A zrTy<$)%YU0jQW6Z_eg+^1L&E#>QpDl1OW-1)onHI9RS!?Lc0Z2zy>`G{m6$9-|Isb~=%_Cr9?ox~dsypv@?bUc!m2u3*B5)_XC-7neu2Ehd-u2WW%tNq z;pY1z0FTVk$inZ_bN6oQlTX3{d?NrkF87}u{f{g1>W^=flvdOT2b~QZfAm=Wgs~;~ zzWdFo=h~@&NXaIlm9E6-A-UYqNE_5%oi)H~>Ol6NU;Ss-y&9!dXQK4bzm&s@&c16; z;aAcUaA7)}E4OpLT`6o|Gr_-N#7oi8v#PUS5f+2dNUfy_(^NxL(z}_-E7;I{l7gm z0s9aC_f{48|Fkvvf9IAv-Ui>Y>kw~`w`ex6P8TeTLDJxVv41jDw=dLM4m+m!9q+%I z+=6fahh8q@;WhmW(W3vaCRQCdH^c=gBjkPbkXnD#XK;c`Ir3kPeq#9lzq#&s8+v)K zj^mywDME-+>|ect7v$EU1JCoU)Np#cvUQ%L88AC1r>!>uIiCPVU?s%;UvH&H@%C0w z`P3GrMwPE?w;r#WD&dzKS94qvpe4?KxKk-ZT5Y$5U!o6I_gXGqYgA$NYfk7@EI@u}gm(kz+Nkmr zFN$>!X3fUp+_(KS!WPcA$hlg_(Zc-;01ZOiN-JdUm;^nD4mkb3P}d$tcuVQBy)F92 zBKJ1@O6d7F<6@nhGPC;E)&rvb-`?ynM0-RBq;LDwMV|wVv^~XdmY%1JO}lg7qdXUB zTarJyF0`Z0KFMchJ1JNl$cTbu&sexH^8DbPblus8Mtf{NXt8Krar)Tf z%LpEk{GTJr`bzosm88LS!xbTq9^Q-N(-~1z?V}klUNA5E$OyW>aqBx{n4%Y4n~&eg zT^;>oe`#oB3=A8wBtoi%}j6_CR;cJqmX zTZIs@gFqC&mxUNPzE3w0Q?S=qrX;+sVI*htfeN7UmS0~T@BKa_|FN2Yl@3#JK^25GrK38Q9a;4DYzjOtYe7iXN0b6ZpX!`O~&E>&>k9EZoK;T%jtgPy| zb6A;S_PUYG$lSeKEbtN|=Dyq|lr3W2@ulDh7&lKo>*UPL4d~AI^DHcR#1OB&Ke)IG zA!IQYYFG@d*mc}LDpm-%uG^m;4t%2yw(!3t6Aif3&q?Ne-pJYh-4hLZuHup@dC|#w zJyK^hGc4h?(`+@nHr6Y{%0L8N)uz*26_~sPJ9$5z{o_c2hu4G>~ZpdF+@$Hp~ zZGwc1S1T~RG5};mYbb|e~O`M<_ zHNa|J8M+ueHgzf=ryoW2ZG1KtE%_wSz9hA$^WpwqrLAut6PMh`Y?u9vaGUd<6#Tw} zFsuJ`bW223H}Xm>W~^-WZ3H&vd#?g8*+2*LpE{!P*r%e%m%|9==V5djhm3oqjGMs= zBt6Ff77y^h|NY^%5Io;7p+fG1OJ`(b^)f+Fa9_<<59B+nj$hGq(C;ztx1OG=Bl8zi z&?R~mm8vTQOqo~f0c+>hMha`WJ-=J-ODe%H}{~+p{cU)G>T?4kiECO0${!>p;{5ri#?&WL^ zGEQ*yjocIS{@jHErN^mVMdK|OyR)Om0CQ{`F(?n9JNI@+r7%-H@(9`WozGdXw@BR1e&SuuPE2iXfgJBW$3Uqolb|LZicB6t; za+g+bg~crcb>J3bc!r75g%ygMi|+4Jtb}wk3bMRxs`AZmv;gR?14o-bWjiUuC{nd>Pc6*QA6s&4RYD+nRyzFZHwb~xKmS1`TpBOgow zdB7K^dh)>iu$~awRE}Gj;iITPdHf|emDprhvkc7H3JOUT|`RD&DGxC ze!!l;rNiLk?2E;q%bp;wR`(qrgzmYoGPLH&@TlU;Lav#q+`pO*><2@4({?IY<4e? zVqvhtvL>>DIwd&eOBC*RoddQ=E@;3Oq2IEp?Yc$wbDdPe|K!h5Z|4*)z0Yq4ex6PS z@>*YW(K2bvgybGcH8V9Ad+2JK!8gJ97}=$8aR0PJ-t&2MqL0^lr05@M-#m0|dsGy) zmmt}i{KouVxF|)5=a#|;3K?Z!LM7+9d?k5SVIVYFCFtre?3Gt@1JF3Pn+9N0ZHO7L zF0{JHz>#}Ua&{$Aw&LOrAE!NuGulJNpWw$t@TN@U(45agvpEdiy(;MH_tD})* z1nt%g2<6bGyF^WQY*GZyg4YM%i{Fd{u#yKOxbDcUkDh!{mn&%kl=kjeRNlq!b(u@x zzGvwVeKTWj0PxaCdYHbTTJ};6;mk#H#g*iwUe4@=f2@mz3sdh^75c9PS9bRu@p(IW zJW82>HSxSn$8bYO0)U=*^Zn4vmTeY*sty3~`2C0NM6O~4!PSN*@fHE z&Ar_&Uw182bX~V9}#tH%1gwHMj?N$4#NTShU9)^(T6Q<~B+HO9n_nW_F zK{YR7Mnlu8wSzD-hl=yAD>!}`wC4VK2j5@+B-o|b%n9=W$X;nbbrk~S4{)G|gW}&2 z`^hmmZ)X0Iy-6g@LfAQmRanQrCh>xT@@_8IGbRDb;3@$B_49d?wZG#UR0u;WIM>qMx8MH$U_+_1~$JCI6D}V7@`t|3~ACq5G*(a38QP4`zk+reSuzS9a)K zPxi`q=Y|rdlST*dar7#mlcX+z3AZzowLUAJi;f=>PY6jMEQC8SCaJ7{t&21`MZdLm z_N2*0ELcY|e=9G!jSjyHmc6vyiCa%|$P~T-zU@66)h@p0ms|cl@aLfh;0r0Dv*|3% z-2{aucfP7B1!h%COvVh`{3>koPqqx{ZBgu(G^LZCRnD^9`Wfo)5RPz2B1oH?f@XjA z-{Tf6h{$f5m1n(n`G-?=TL=aGX=gJ-VZ)O&vu=sWjuZNbtdQ=2+-bw!qRm^;vfk}A zB)y(?D;~0guFvM0$tgu@L_VXfY@UWlSMv7~t?<7iYrUxtx~ShRB53-Z{lgnzc6s+V zUPi!iTsxFN!v!~gJtp@7%2IH@e(AHw5HLD};z@0OcLG$ArVrbSvp6a|NXcmWc=+%q zkUl?19T4qd`blq8_aN+^?JG=&gzJMzk}?vnrn@ezNOkB+cHeq7^elqVpdzikS*#Am zR#Bd`ovV8*l4v+|aXLLXhr5#{l7l*W*`|~)828lF@DFu}{S?H0c$<;I7yQZ88B;R8 z)kQY{;uMpDAJk^beEcJ__egm7dHwK{y*9VGzX#UsG#rX;;tIp#1=c|0rU$yJE z?Ct{~b5kwrqz&w{dwD8|m?}K9vURp~?BpbImJbik@P#fH0RY^pi>gr1nQUSoAh`E= znYFn!ZDY~!U^CS zBYpC5Cbtvt`&Sh|VwK6F5E}LC)1aIBL-}DTxX7wUj>l?Cxs&2q)XMW>iw^Vp&6ok# zaK8uc|4?V00pMG)a%vh)MU2}S>yoQdIyt0wSl16|CbJy&c!y+REwQvSWk?c4?f%Ax z>Mj~R7R?ca!n(&506lj)jTkX%Js;1h#yfw@(=A^*<#HCvXGH#(X7^rm^Q6wZu{S#( zV?utR_5s9tkl!l5<+NXcbky*fKfrQ!ttZXw`QWzo>o4Z>O#DuPPR6h-myTPpC%seq z^V`=Gm|xn`P}k21RQLg2hn9!ZR;tI}!ZNs5*?*~d4 zYwN!L^0mQy!Dg|R>g3rE#wFW;{`Qqw(~>U`?2dPn_gYe+!ED~Lg=H=QhpFFkQdjAn z`h7p5DNMSjcs=7b6v00Tj_=K!RJMy;S7x(Qj1_n}>fa{8nU-`8`(w+>&w9Nd^}SL! z)u2M*sDM2E=5qK(fc30b{hQQ=jC;%2AD;@BN(Dele5({U>#cFLkB_MEJ5MB#$!+h6 z%=SB*KW(W`ExonM>qWK76eSvC3={$0q znmO!KQM7b!slrK=etbckJ3bHu$YZByd33qkG~qqh62#x zZ>qTKIw=M;RAka9IN9^KD0LP;yLvYKK8bbs9lxkq?uECJ>u>Lm`o0!;faDK5U<$-6 zJ%3+tfYuQiEn*sibS?8*_aXLgjT*%Tzo)U)3oB^du5}^i>@F6J2wY%^ z-jO@)psABp`Lhi;J&%6AVlRgS=^~dL?}<%c;mEn{(RZFRzTcY{@r5@K4B`{FvEuU< z#c9Q1_1j(xWfS9zthKhXJG7>b!;05HYS^w)8<~$r+?F|5KjykN8GdW%;3cM$@=VE6 zdkvlA$sJ|_Wg8CnoAgKJh}NeERd5ojAiH&K4T>QVhO>U>Q~lNhQNn?{ zRh?w^Kni15c~;g1`;(pu%R@xifu1K@^H)>nmuEoUd!Ahvl1k416Z??|3B!RGt0Rwi zNE7b!g=ZR9ZyUBLJ`mE{MN=t^eeF`&>DQy_G`)bbkq@tCfy&oOJmeFD^IFgeu3l;u zEXj!2a~v0h*pen#84P84&Fyo`NM1iasmW+AyT}X$F|j;QVq60PrHukYF$d#a5dBYQ zdme>Apj<}!Z4@z=0r$&E7MEYM&HnweIOki^QS{fkl+z4Pj=nE+xKcRFNJOm^O%$~ZrGJY9xHHDA^Hn6;@j~~G19(Ir7H*M#R!u7QSY{G5b4$ZGd z*=wf&w)y}r%YLxX!y+J$R|?(IPuhx4-q>;^nh&lB0t~5lfvBP^9pj8>(LZhEZIWZj zf|Q#KVLw%|>E>7ZC+&HECAA~}HpxqFEW=^G5fb{A`3)5Uvh@1npEUBZ)#YL&e0P_9 z@Acu@6>8N3`Nr)cG$T z3ZO+UyEN7~=`zecG^5Do15uo;Cbv}q5-qj=?DJZ5*T=gd1m(~%x_`Jkp?t8X?RF;T zf4e_DWP_UMd|L`^j8NT{xQ)f#_jU}L0@K1 zVz?YSdw>QOZJN!2vORNWhK9$sY?^@`X~L)Nzmtwy+@|z!XZ$DQ;^cnQ(?khzjtaYr zxX8ko-R5+jhB&!o`FQR%Lv=TD-jV;FWkA`|4T*|vE;Db&OQ!ymJDDmHuleyoqBINj zqOj*M%!jKo1*lfhl2wIfJ~0n*qWZnUe^55ipzy`AkTQHbHXE1e+HXx81* zkmNu@`dL??l*emm{CeF;HNjrs>G$uI9;R*wl+-J1(w(XC)g&q6@Ih;1vDYsKQCB+w z)=1sc3K!bjSZq3gVlivs@&!*)3s8Z@XO$v$pw40EFyAL1qiTH-7?>($z1!D?I-T1K ztWQnvfJWs8ED>97AQoif(s>x9OLGg7N0KQ=|39L>Gn~x_ZnvmaFDIy*@zW;j}o*+?9~{x_i9i4&w1bT(RJm6JlB)oxX15i35*Z( zpsZMDSXZCSlJ(mOl!3Y95u>eOuRk??zWIGOSvWGIYw1SwsLQmOF0tvLnO+K_-8wW; zG_2%*UUQ)A&0-SI?;v)IFBEVqUE9Ox&Rk#2F9n=YW)fYN#NMr1!tWwAGj7d3GqQZm zCWZX%CW{r1a&GMzeoJ+IVYdF2PJ_z%q}o*p8)5`x^<)7TkYXEbd4&A#!zU;j+=jmK z4L1+kx$ss)j&7zVKX8Na?7oB7o*!CJJY_|>^Q~+7I-V+fnUCKt{jUC@aq?C8Zhd7S zWfWJI7t9$1Ycj9|xIxTp@vW+QwJ?JKvM?0XE6Y9~G-FEZ&yx>-?C{*HU!iNv#pV+0 zmJ+L(xxW)mA+#=6#|*P|aYE%Yu_Yu_@R|gSzU;=Vp7uWNZ&kh@O^bVI^{_tIuQCG5l5#t^Dx)$)xD0H`0%!We=q%T%`e01TcT8kXqLXx zm4AQYvfU#b>`~7$iZV#MW&NhoK5%_$o(M|t`qlk*+3m<8i0S0HRd9|-n+08BH*XhA z%iY7!U$6m(H>i5`H&hhL{e&tlIt8)_)22Pqu&0$Ham>GG5P+SK5eCrK0k_k&L&p7n z)Dy!V#`*pC!mqb4AC;k~Q8Oenf2DI1{|?8D7z^YZ_Db4x&ihPS$*wf-V;Z#FM0WN9 zxut;X2`Tw00&>$(i+we56R}VG=mX{ZB-{txpi+l-atYbJ`Zhz}l~Xs^@Ht6PwX}~l zbFw~|Xg~<2w2v^zv8j|lwGM6;(KR18P0Dq4CNN;JD(9X4v-Mey0M=-B)eoyou4h`| zF7exwd+klpGT?lnjqQHSRWF!&22SWv*&e|35v7a?JGyRtb=!vD?Otn{#a;goW^MNe zAys)S^1E7u*f22t_?CT`SE==B(_}`U{Eo*O9`XY_K?}c{vy^tL(2|uO0^XSHEZo3L z(eHr2Rwo}M+oW%^X0n2lkX@Z3+rPpkUC*_r7{T)5Akap=AMurfGoQ}5>&ouKRX=Uj zMp$hSKDy@*dKws=^yGJzTc>MLbl<+*aAbB_q;`#X6#i+kEg8C}sa-qUtsM?G-xQa1 zrHjL5m3cjzc)69H^wy1hguqNc#PP_-#iEDhtAPe`g#$()E_r}F7{NoEvw7sN1CKr$ zA}WeUSgw=sAwh1#SNPx{@dYNmR({j?(AWqiW>^C|sD)4KLOVb?IdJ{9nHml6LS)=l zf>7Q%<7XWa=Q@vdyXK7>;C6=yuZek$CAw&OxRP@?31!vP(A1yMTVDH}PcQ<%mwUZQ zv3A609WD3UQr8vjW78Bw-h= z2Ym0PpBgJZN}EqJ;&6!%6PblUpDH?fRVdc^+@LfXc)_8j$~9XPRRigE0Q!AyUhlV9 zMBdoef5;v_Q)D4XPuiwymH1~Od^HRw*PJA?`Dr9e!#9};@C3yfyyI1{MW5TBb+e!5 zIhml5%h?+GY9=4i6>@hqt$WDQJ#qdGiE-g4rxb+FBr|?qEz-`nQ}vbP6L=lCSd^`l z5AMCwEQTINy;hzN1Y}~@`#F>Ttnbb~wz2(bg4Mdbz4DU;R(D<3n zQwMnL&^8!`l_ZaG*;s5unOXY(FB5Ufe6#G@Q>C|+Kpp`p26n2_QMrE8w@G?XD(9NoQJRCU{^+U`PL5xTXct#O%% z`6dVF(T5h#Z6f(3!ougJ$nW=kQ)1+?@VoykGhH~X$g)hIz1K1Dy5Qe=!QAwl5sKB1 zuRD7$JGk@;s$Zm!C8SI@y2cMr+Jpp6ChawN+apO3I{3mT(o|g?oYA^qjhlz6kBF2= z-!8y?X&qMj{YMA~zu+Tqe__w@V>clpUJ9@SaB0ng%sM#0*)FI0WX?NY+Fx>H-&)n7 zQlnp0uz$U3H29td*#=P#4EFO=W`xKLrg```0P?B(gsDpM&jocAVn+kIV5qi%pkRB~ z#d91*1$b2JH=rKRH#EOdLzz|_Rg#d;Rz3T}lk))Y8&$;?!Ei>*1_1&|T=}lz9z4CCFPN z5})i;U?8AEsD@AX1Eh(ZXkPnb+a0c) z>%F>*%?ka6X!O9T3;P@SeI@QH+b-zDADgGoprIzgJgkJxu0LxWxdKd!pfxvFI%3z-6huGowtYfgw3eHm6}I_RHDt-|Keu_ z^HX(w3pgkrO1k&gocZXnIcZS+Bi`bJpkv1%rd9iPo#qX{L zIhE7wBJnDsnk@$O1J7jCKz493n#boNHt>2RQWmBZ^r`{yUp-fzSs2Fwl^)&RkLIQT z{<7YGXX@?bE1LC0*8AdU<8V}Oq8=Y~xLsKw{$<}*b~%Q#NxTVKy0L-^xS;94FSfIw zpXNZxCO#rF?7V8SNHT6!4buX3MxAzYJI^`~-LucU>VJ0Jir3D_n$`0SOD~l#?Ih4H zo1-^MbAAu~iRbR<-yF&`A7H$0)KmP!l9EP{?&aQu}2{#P*q8 zR6e5JVflu<%Xf6lAD;<7N>wP1l$eV!0VQ=Z{juAK@Wm*^MevBCX3&2eg|~Pz-&^^b zIVt($r`ail3+_(K(MRF!-SMZd{1 zB?P{4q;2f7$T>|-0_Ni5LG$`(lOSTtMlTXyzB}M z?BE3(IxfMsumR)7@Z}!_*UKq5mR|1Ohxt7fe{6uMaEDq^PS0s+f}VhUmxB*Whd1oP zq{&VcCOp9}3R47E2dsr7V4b$>-$gWc_fyE{`waq@X`3O1t$zoT8DWXkowThc@2Jyv z@wkrRCUHXsRdwKRz6+4gQe=TYL+mMZh6F ziiaEBXt}~|owN)k>IMh+VccPN8zc#QgA)UzczWVg@aPpfJq|bUt>F5P+fcIqXEp;e z>wEa%rX*R`QLf=ga%9?zz&Ln|ix|!l)hG8`)DfS)k=y12*fiL`n8iobHdUze6l?3q zK$`yh`GmH9q~0pK5RYhR-CPW~&U>_?trMMMFj1~7Aq}maT%Qra6e=Dlo$BCGwX(c z7(RVytU>ae)u(d6&(XAC7tg_3<(@oGf=;C1dL!@wi;a#8L8sfRsG~Iq+TK!}BsS-X z*K4Q9fceAx$-IwndMGDFob$i`t!=J_H-qV>lAU|TA3m57M*c9794>5^cSCVJy~1aF zPD0KdkRpvV&)%?X4pnPtC#VRw(66SDtL?0PW8ZVT45p5wM$}3EU=7PG?L;MX*C9_V zFIR(bF-yeOu_mi}hJhuWkz)CbPI*2ie%tYkY&F$INd~VX6Uyj`vI0hHu?5nTqB3(V z@tWE@X>OhLYgM`s5acjySr_9vBX_=<)?798*?p62EP~?+t^N_oj>T{ZJta)95HSF? z$Xtay09)KmVn|cm#?@=LL5h)_=r-juF$pEkNfmF#QtkEhh1Hg3!eFUc639H{3am89 z+)e>u!8&nvfZyZhZ-a{~j&d^fE9*=vRdu2tuyNMpjY7-X4m(edZAh|@j5KJk)8)oY z^Y}MsjWpTUXX1qp(n|vu!?FCZdJ$%+t3aTfL0;r%@5Y!_$v4)s=^yh&+%vWq@!azee>!K)+k2;K!IqT~MfB%lyp`3VvV$kR^S z9r%Lt%394&6N?N|#j}pQN0Yxmed(stb50JPm49#D`r)Llru`sD(gbJ z&F!eF&9rS<0uMo9o+QcZfIH*n%zy@c7VKI3UUSzjvW>RMeeLBqo|APXxGCDjB)6Ff z=Bc_XFkX<4bCUD|&8RLzCD4zr?H_bsRycXzz+$qF*-IV2D9US%TE(-Ds*l*WKcK3g zQHk%B<;{|I5ygK=53zWlh}S1&-0W^^R=fVDQcH{9*JeTB9@ddO+4`^b^Zs*nUQR$u zy@%$i@5!lHJ?TIE47PdAq%-SO5F}G2Vsq%#hVOPh2(P*HnG!9S#q-x!iMuTmzotoL zb$fLyF=RI!kKZW=(a|gL$h7k<2*3Ho`=o$%)4{HCW&iA#Vkg=0(+}U|Ox$F_?J%?F z(?JyVnzoOxiGMH%MlE@8&@8WIDv*0o9rqbITslgV0xz_beM)qAQw$pK7E4hYN}IG6!WFTQxy9nHZNju3N_ zZca7(Z(kL1+OLtPh72N0Y#V|p!cSP%oK@EV(MeFVF=AJUpGj^-!g_ZMIDos0b2>?X z)lLO?u@)$19dblMQr2%$E3^_JEjCs6ZEKzRh{7|#NGsDtD*x5E-bKoWwjzntyrV;t zSZPI_%itz!lL_fcq+o}_a<};1)YDd~&8zA1s@A4vT(+j$rRUcJCfU^i!~Puo4}iKp z)&N(h zm^0Ry?pPw1F0jTNjg|$>Lncx*m`>h~vL8V@T6_n6cI*ua1+QmLM0|1BUC#nvHbLD+ zeDl?t-|2W8m@~iE%)aIxq8PZ)x}Zv}^B>h#OcJ?NjX#eVVll=SI6}YgBR=>|HBj%$ zo?Ud>7Jt6qyzzCYcw_ZX0<}VvN*$b=2=o=Xpas0301;!A*E}eYvy=^N^TtaqCGcKC>F7MO{YFa zHe7Xea2$6;CPY<~wd`sqYS}X9>~lT&M5cw?^cZmvwEC=RmYg>i1Cter7k!uA;1mbE zD5{TbApasZMY!2T5uXYEScMQJ;^r(NzrtftQyFu<0wm2x7095OkyBE`(LFJ9q!=KQ zM`hF!r;xRJ6#AW7RJ>Gj*f5@H_bKLDTBHsr!WD4LyJV5pW2rPA9>|J0Kntol@RQsv*K*)p^)& zVNV8f&E?R^OY`lyZ~EvSEPP-3+giF)F8U)VTW}7ExI|f|oCniJ{p7b+?&qLw!--G6d zveI$Odr^jHzW_Y1;7_GGLxOvm@F8)V^=(rw2`SuV0-OIeHWgA$G(_TyEYi>QlT-+7@v-2Z!{Gn_l;O83}M zTUY6P9HCCFLoyx>X7Q&k#zAtBkkxFIUm{>M@+K~H&S7j5Jy2ZbV?HOPJkWjX^#jLO z$T{B`pYkKBb9%97%52=W-uGDX)=Luhul>^C^V_(^(S zWK>I4giLf>*QHYSTNy|Wf-86LtkxHYL9(Ce?+Z3CR0(}HnAc$*BUwELZX`@U#EX{&kX)zpk+#<#&sF~6(0!Y$>Sm3SE#-Z z-|sh7u9(XCgca%vU7c6^&h=fMn#_YLCQ;P)D+dxtq9J4xMSAdM$qWZk(I-ij8zVx6la{rECF@KJZR!nmI=A{G(L4xzqbVCL$`EMW2%=M?yawe3+?ZQP4dC|LSOx{SDVJGN}8)wQr%H%n+2=wb(7XJ zf@%nNu#B$DB*8g#-<+}5htEz23?ymBTB zBnSg^d*u3UP9ns9SpM4^LaH`#cKGG30qK><{mvE<`)C)Ehi!JYZ??YivD3otFuC9n z%Ovj&ZQhyVx#kmHkfl?3dEkJz=cFX&2Sqg7GsQ^<@efL;^op)_j_8$?UR$S`HsRvI zq$RyvWU4;>mwsrzE4^#{eYri%_fCT|lG2J9U&;oJa><=}z^3do#W!1%2O4KG5@ap$ zNfl$U@u*KE$98rO=S3pBNhAlh_0>Fj&RcQIUhd3BC#Y76h$WO?UH}4D4R0n9WKj-a zAq(pA+76C+%F9$Oj3G!|55Gg>ZBaZ9{*mQV$W{ z=zBC+%sDh0{|=hAj>C%g)rzE@0&Y7dBYHp_DB-iO=tFff{mxWO{30`bD+uflWa?k6 zfP_PG9NvDb!<2*@eMg*Qe@1qGY4T-2v62JSmx!-A0=k}F>R2D7x{0O53V2h(bPOFR zhhdU(Q_+gO_lWpO>4X6W^+!5+o(3FZ8!Owd5BguerrDyKn_ zUe-nA<|%qF5Rp2Xg{~v+>RGT zvhNlXsr}u1#gpb5yXxp-;edK96L9YxF9i&O$Wxd=b#-C_23>~PseAapH9fl1@iqtk zyHcFBk-ihjpI(qe%O|yxNo|(At#V+_LJOCAlwL>qu(Pc(D-fn*|j6muyrG%GU8zA@n9OAO=)GTX{+WlycOHzw=v_PL_N2II7miR>hsQLyXp~G}Dn+F*v~n z%;WFWpop+0enkMw;@iBrID@>K*7+YI@JT81mB8%^U6ITuUnjF4@GzyTN8f*1P{A?^ z?GKeCL8>b z6Swt@MJ$fnvB*)yvAo#JHLyM0iIeyziqED;9F|&k5Y(jDC{c zo1!EhrT|!$mm+YOUGDg7Bkh%3ANDPlIX=O9okS0-S2SLR`Dr)FbBeM$2j7m!JG$Yr zD-!|%9VkAF+yftZi2c1@nm6H20-sMUv@RDWm07yH1cg7!%QJ}innkG_&xfxvsJS4Z zlbvk;&iW|SXX>Ea2fCsJzx;qqM-&!O1BTH|8wp33%@G%m?4cKxCz%SP@E;aawE8-H~mG}@y~JT zX8b`9(*2LMdqs8PMD7QrA5Srt$7OrA7iJBU3svy>PyAb-A7p6A%S)KL)!+2pR43KY&Sx$J|W6p7)6@vq1OVo!s329fe{uwILT&xsW(&vQPeqH^vvu4&|2~(rgPyH2&2H+pi&v z2IUvu?8eO*YSGNJCTY^v#qoJqzTR6TGVpgZ4>m0yKq@TxSFQSItnDsyr+CVXFwwh1N$-%Ub zdI8AT**G*qsw&23lUase$D(&OA{|z8N>4h2#4ZpZ#MV}A<%C>K18>JqbYkXW?Pek#tz`r5;Qamffed|nLqp&DB9YTW`1gMVQz~d2 z?Bl!@WJ7Q~!P=R!nI%2C@c;!pyxmvs;OHP1Km0>~RjRm&QxHk2z@QRjYxL3Euxz-xZ2eW)byU}tr-29>C88UWT<>BZk^HDu%XS|V z9(eKW%xErr(=ooL{goYe&`aP4byK|W>HncCgdhjXJL&f<#`(CO*bK3|ciN4QR=>X0 z&y{F+bg2}%_SP~$@d}L>pLsvla$F>=tgsb3cnOiZD>k){MD*u~m}S?>lqT4(+X1W1 zdof+f_HoGz7UaIIG!E;CcC!qZ`zU11R(hWo2bgrycDau+O$sl#Uh~QGUxVe>?RJ)s z&X&zzkZ~fnnZd-6w#WQ+7iE;S5BrVPm<+*~`5-hR_wo=gTW>hzTcgA!yFs!lnzLh^ zHAy6QuCNc+T()2~#K&Ck_qd6~K4w0{VM)cI*?S@$mGnI{5EzeW5f}~y#86)|M6G|1 zAiYNXrFEyh^F=%7v_$r5raA87>)SLv$qmD4(Ai!j(JYMevkTe%2YlOPb_G# zz@}6X1y}%#qEONlIt!`>5b&}s2Z4M-2x7l?Ocr`J$U~NrL&HUA-d9INpDVi0izL0ruE742>d)^c9As(qMBzWxdd{ z6T>5Yb&1|$M7CMc@#yXHCY&h95p?6EI!~kop_1cjhRjKjl}Al`zN%%=$Q5yKHTPag z&zwMZ@x8pLyZLUbZIVFAO7+TylSuF2^&t# zvi|FK&NqsyB_Y*vXyb_d$Ea6Y{btUKH5wf;o|;okd;Fes3xCmh7ipcixbc zN>;Xzbe+b96SoLkgEahwgrosoZO#i8828?L*sBbmtQ~U109RC6P0u?J^<$^5DQq!> za@j09oKA*TFZy}@8#!4%XSygpy7V*5r|-?gqi6;q*LefEp2~y>?GWGrIttxZc%>O$ zBA)vzygi_Tz$~k_o;^6L3cgFUtn159Ya(7DCc70|^WDK(G0rsN?FHkze&la+fG#ff8mLK;6lnQ01pR%%)AQB2rxsQk2~J^-N`QJBW#N z;$$4MaQ~gl5P5N=1=&6V;ACxf%gC=^=iY(uqR-%2@2zCjSPqzwZULZWLXjwzqC`G= z!Fd;MXEeGigxsLQA*fgG3gCFwMsn@GYKS8zoS?*_UlDB7L~-N*LwYJKGJ1j}RtH_3 z;jTkiGBe0vhvhi{flZ@>4hlMyZ5Cl}0UT9NeW(?e#G^?x@&g0gVP7t24Gf&fu-I;6 zo%zie6b({Lcuo6UY1yJbpaZ3k|I!qX9_g{GC1JQuyUrWv6`7@SO@rBJ7<5@1{UDuM zPGTL==Jq;*v zY8?HxghN=h*IlePQf(*nGONL_&&c*4;entfM7220e zVIwtEg0K%{=9Fw+Gmpcg3>U~s$UVWS$8>%FM=8^^d!*;m$F1T-0F^4F7$Qs7C&YDT|kWRM51pO+c#0Q z!QAm*3U|I?&f@xSw6jWN&Daf?7gfm!%aB<%igxp&K0?GT_Fx7d&vnCHF^}cQ6GS1+ z$f_E6(VyW%1%}Gexc-V7Y!CFy!*T5%FQ|K0C_aH%HyaP zxVd9VMViXEsP_R7YV>2G7dv_9QCDJxGKq>crO5)&%J`qj1|esUAXz%G6;aofcp!@| zt8{~AS{&AdZ3BKNchrV*Qw=tqlVnVdHzUHdW8k!~gbif>fSNGrd*EqEk!OD9T> zU9glaPc|~xA*$w9%NXNmzoD>soD!Bcd%Nuj3;Is#{dAjp^ z+TcZy0nybU#WTg_*p8e$BTkaKlAJ)}{GPBSlzT{y44^L|J(#IL!b|wMq$Bf2y*=>( zRRu=hBIOi3FcnK3l#z*h^kM51O?qq!d6oK3^Vo@Rqy_b0;n*i|3uJJ2X6R@w*YD1l z@+W3NK|D@8xqa9ZCK)7>TPkOqD2G>go5$iKQpZJkPgS}LlJ|I33#^*;HNc<6+QAbdwP}F_s z7sWG+uoSG=eudmE=KxG=vjl>a1r)<5&ipYX>&`Ae*b5+(Y;*4r-|spChp>Ss zj%6c8_jWVs`7}vV(nUQ;I(6@a#opiLn<1riFdFB#HX4T*Aim1*6_oYf(132?&ab#D zB(IU@B7(+=Q3yY;?Rv-)3o>fM+vtdsU?OyZH$7?UZfEef24_L?WWNK3O`D75=K15w zk*#5dGh~wFgh@7Y*_k_J|ANnPMU(DHpgvj}9Grb~pY2`>1!iX)=(_~sDV1SP} z3#?0FZ9Z9^%Nx)jYwm33K3Hewi@tkQn681~Y{L-9&vyBy%Ea$eA)`7>&vR$GXg(@t z{b_i8tL|weU^7VVEYiw>0OA9E%u%je}_%w)6ajR8k3^-1U{7C z^jVl#A#E2mPv=h}L&~E{VlEMZ3YM*>ELcpUKML@Ga-}KOmS!kpwdJ&!P!NS@v*6I9 zbb;gprN9*o_$tW;O0hrqI!1%~fF=QY|HkZ&SA^{k9|WxF*=Q>ux?ZYorn@-y%fGG2 z#q#cB?~U#~f9+~wdaTc;rAYIEZ~x8GQuKoBrRxT};zl#c@|a3<8H6DkVn(!VObxt1 z?eZ!V0=BPf0fYH65B=7O_dj~M>@$x_UgtU?VtwK{mA8ARB$=y{a&kX>8lQu1iKRP< z3GULX=$unefRK}Z_eWx%-=&pMZ8-VeY~j8EtJ+NF#9{8L{Wed5(N2u)h2>`(*I)Pj2j zc=t=5{wqeQC?Wn3b|3Opd2jFr{vtrw4GHsrBb@urt(dn202eyBr+M1W zCd_1Vw4$AfLqc621WhXp<8B%F-+goN^ddGQc*`t67{DbIey|g|pv}3aYk3d}x!9R; z@p*@Vge;V1d-pP?3pj#@%7*C(JygnFc$VozH5k$~oH!k9r3yud4JGmr_BqLZdJicV zNuCM3r{k96G;pR+tqM?qr?;)8(PNKPPn8C59aw^XHm?azE*bDCE{Ske)kLHIcBWee zA(dOJR|7et4Q6D&n#`aweI0JsA80q)+j_Cfer$YPY4``&7o>i4FeJPy=ZSf0y`FYL ztn-e39PS*kJV=CQ`FXN=V8M3?Rc)y zA^5#S^w1+ZDXh;+W_)zoEoswb5^nP}5!mkTd za{k(i$|{}ey$C1o+I2^fv}akd<-y-`B8B=QO#L~>I2_4@iJw*W5bV~q`BeyNJT=Ze zwTf7B86E5FyjM)$%6$k?eobcI-QMQVs7@@FkI>4aErRd2H-j}3MHy4#90FF0IfbCk z>ZPeQc(TCDDj@Nn@ko@ij+9+o{#s-8+9X<7Xt!9MMh^%y7Fv6(z-KW?2C;CO!t8A7 z=WmQUrC=8nDOSk*y`k!k&x|%%6 zSQp@LJLdxZ*0l&M%O7jpD=L0EE8dDQ@_z1JT(CH>$00wGm0*o}Q6|_=vXWjSzovH` z>R%TmwdU@;Wd85jD62m(`v3kk@wa$+l^SRwNs?WOxiMriTGb$j?b!NzPnUS&A3&q3 zqsS`BeoIpQuICv)K#AeooFQu?Z#$(73?*_TJJWp?UHu*fMMzJY0l!5s|3hV3F9j0ZJATkMnEH|Nr9$@)3;qTA{U!bQ<6+GU-FYbhVY-Q2?$1%*@obr9`sM2% zGhZIA4L_|BVWrqNp}}G4$-Mg_prYtl+%W-!Rsm3&xYU!G-$?(vWeEo{2alDec+aKj z$vw?TA&>`$m8f4ciq&R)ogs;(=lPt>Y-?+m?f_O1P7@m4OVxe|_-=K1FH2$oc&Ev`A@syzj7;Mjj}-Oz9$< zRbg`RucgKypRviY|VeJ|c(B&<4 zqWL|v^tT7>ark=6v5OFN;#o2S8Y-TGm3^0-5c>(D-??U2=b;0OTwK)qQmQ0fjMEun z%GadPlAS3ISDhlsG9+O*gdRAwP&g5F~H%Gjqzn&LvTuESE*|xtWHK1e|r*E=XP+ z=AOX;*V>C-i}44@D4m1!M;{Fk8OeV$MDM58s2~IIHp9970#Re|qh2^Th9Tj}Doaxo zwR!L@goVhi5SeimT2^;=717cO{~R*!vkL<>UzB++%c5g-OP7Uc$4-Z0vP%LF6)N3m zms6Bt)Iw2&?~}RK^O}`xL0n`K5z!fso>H265hk=QfTK(f!XteI@bMRC=g;n{ zzpH6qYMl)ZYSbgMIs7o`jZ0~l47TGFgg+Mt8gZpYOXmy8HIVrXzG(L0M_k~ktfKUDNosIDZ3`#77={B6hF*@u@XsR=O97F*=RR4!^ zbEe)d4?1Gf5IypX5g+Bg&V1mstUP9~1fkTgC|U+Zq-)n7p4M)XY7`BDmB*tuq&DeV zJ$KDnV3bDfd!YjyDJljWM3XLYC+`D<@gH6{W& zBbE%#0~n~6)lXA|QHq6mGPfk2Cn0mrj6tuP$$WcjemDWtoVr{>G4eAkFF=G;1VilDd!SFPio8hQ+vuK3P&;ng0wqg zsb9NsXc;|1y;M#HAXk6L_O2_th2pnuV}I=KQVSN2{^52o(Bu_&x5~*_$xs`4}W?3JYdHIpxz?!avihY;j=L^|IZAfQ8y3q`* z9&Me=kg323;vEJq=A$J*YXc7Z5*kmPDc0g71%t2$kEoE&TBcLKh)}y+BX#7mEvX*w zEq|Ukh_yr+@doPrUYz@3+Vbek-1ZgU!5E=fyfT%64qW%0oQmSrmU&iyT!ENCu}how zweg6Y4f9cs(&gn3+1)}#z$%M}H}ibQCc%W%xMFzMwN`F`J&>-G6P&Fp4$Da0L_LQMo<2y!wBYgu@622z zq-*3;z-I(^14hG96V10n43nDJxI|W`)(eyV)3NwcU1m@VkFS zA(6sfN%Qj&&ZMj@7j51d+SW(r6tt^(GN0iWA4kIMngEJ;jWh`w)Nm zO;u`9=23=@7l}pqkQsodp2yK>n4T*pni!?r^$`A(0w#SJcek%j`*YAGUBFJq2s1ku z;zhjVa}og*UiGwnX#$CAbmCggVE7o1@e3ySI7k0vjh0c%)?|20CvPUKjM5laa~sAR zvL+^7{J2T%<+JX_SF*EHN+t4jbIUp1!V>SYyL)`S`er)A?%=g4|&~t)YE2{Z+zY+*XgQ_8I%UZbK-y1l@rB^-NG{6 zIx%9>zp4wbtOVF@ck(H1mQ>P_9g0C?{x zq12>&u5?^;0Ai&zhm|o;6D}^ko*DD1oO(O=jNxg>@|-c+JZe~+_A%+7XX$olR0Yat zAS=~B<*PSw_m6bfA8}c~1x#J!c#?L#-%Pvz9Qk|~D5A1Z=mbH#96580dQzgLp83bR z8_B6>-;I^4H`o80La?Lv7E}loU!r7X2ORcBVnmMWt-4kjC_!cMY^YHU4W(_yDEco3 zJhp>`&*sO%f3Wn!?_%k}7CFH5ebvp5>enjWQ{eb<$zZltT^R@{tgGyy~^hQ zfllm9Mj%0xcZH%#ZpHL$kWISnL&#AG#~FLtFqpkY-=$wFiSD1WoaU3{C~3 z!k+FvJj?SYs{EMLn;aG;_59*Ki-3Jpz@)=ndog$3tAf@P1=^PWhE=m8{@qQfWpvs1 zgo639GUa`m1+~mRL%QIwd~SW9cTzo)6!uUU&*R}1VaH=^Fr+9=qQpG0O1Y%lS9Upr zq-Xk`+@6tlKfvpW<&hslfJ8qRq_bEE&+f8-qM<*<{}dABQyDC)Z-Z8*wT`J3N#Gkx z3Q$wTT2DzB+fVtR&hFN7_nE?_@5EjDimAM8cF!Oi3@2ye4tu2;>zPSG{RC$f z^NmoafpM7sA07WW1-a$^4q{8)&O{u0S$Os}@?gG*PUPOS!XhW-;J}YLE# z3_gG_Y{Yk2e#~6Ij6fT+P7e0lcYL`kMU%(MNG zvf^H^x@8`Qw5qAM4I~$}Ge*_qR*=NqFSSjUfmi(n7Phz#Jw>Qe%T?r!(auG#^SNI7 zrqidnJB1nM^POx=RDbuA;5Z)VfnwA;-*85mu;hZAa;!&4y6ug=K0EnAF{-9t5}d*U zxu)f%+r8eK5qakxf(wQY5w=P+R)05KF!YW2$Nr>q(fQu+8NH+AarBNVg(qlxE&`(n zd2|Hep(@$^ZH94&i?)52Wq0N$QkR*LfHozM#ZNm#4@6x!-AjsIzojSn>deG_y?%VW zb@OBH0a@bn%&}X?!)LGWxlo7*Q`Q=u@26ns#byHgb<)@h<-nf>3&p4-YW+1?u)aW- z43(HWNU&P{jzEP!_DCcB^%AM5_{!NHLhA~re%9Mz1DYrk8WGD+l-&2 z{5wb?)onAQD^CHTg0k zoqz2|^o4f&w<8J!`P&_N@z#AVWuoiEjtMozYq4#@IVJ-=x#O)9fg+{s2dBz|KBn#N z*Fx-&ESWNvBLNK&{B6*q`}%S{0({$*EeMyZFn7I7!Gq<#8%}w}sMjRzx6+{S!YYn2 z$k@~a;WKYTQ}QRy-<@lZ2^K}l@j)EC6|$+!7QG${|2c35FN4XOp@$nt$2fzyCpX+T z6nBnuj<^v4E2bAt7kLtePAag3$ox7;>Oo}vx+DDwGVbqZp(9Oyu86j#Vohif@o4l) zFJXG$lp6JKjw(uIl*dqG7c(V>@0fZHbRYBxLi^aSntKfDoZq!qp|B(cYcOb|QhY}p zvZ%gBBNRi0cOf(r9vIRi7D`=JHpmm0;++5yOWOVvtdTndLDt(2F_N0Jc2EJdWc){#Ih4Y7;mR(XNUFtx;M!qVB!Y#c`2V(8Cx3* zl2D4Z9~Kv7(oPl&&gOb~f7#CVW6VK+`767A!@iZyr_lrM!3IDbMHm?+eZHtjmfWCm z<7`eKg22xyB1u_VVC}Pg`JRv}>2WNae9~FNz}jv9*4wIJ zlU>)b!YOTdJ&hUzvPccVuuDpWK+d4VH&hN&u#Uh9edTT9y7#q%PS8DXi0zB|JtK_m zmv}6du*Fz!+U6%W5)*-wY`lrE<}$Oak8xFYR(N8;{O_9u4?Uwh>+pE#cw+PyU5zms zy`mVTw>R5IP{@?R>vCbv?NkyNm|?r?t-B|x>yN*9`Kdg)2NrygsHJ(wrt$oO?28>=o~BD%H+BG#idDl2lWJ6HTC z%#QU|<&1VA4qCLf&`b!yD)}EU5Z+NR>-4&BzQKK|yQs(4uOUIEhXJ;zlGduUJ@-R8 zAi3WIgA*vnU6kej4^8Lc&xZTGeM-%gDkY&-5frs|>`hQ~ST$5Z02dC{$Z)S)oQ_O6gi_%MW&Q+L65V#rmGZb z@)=8BqP)t%!o~OKGM!mo_1qiZ2N+5$J zkQK?cjo49G*YQtarNwq+Y5LuE1%cHs2R{qg+Q<`#PN;h+Z5jt!&eSMT&V71tEQ>y-Di2la5&d~w|4_6G>7mQG zJv_;?=5utv3}oQ|{%rmgJxtkd;`7_Vvt_|#uW8(R2;)kCl<36bG ztxK}WY-%46zrC7x2Ra@8eQPFyLTR2AD*aF5$F3e{y|PrjkurZCp@%sxs8DzPx9BwHykB2=M^U=A+>3bJ1}xffK)d zV*^`^yB^8gy)XevG>pu#Q%YGdiZ!MkOvc_J5Qj;n8WY}-HhyvVj>XJ`C-J|Zviu>q z9?bj_{xhDn(kV^I)7at#3H_?)}?9M_Hcze9saH;eb<{QTm|QaV7=LV#i`#f``;is!q9p}gn zoSTwW6O7G0^g=qoo3U+h7~q9KONym}kp>*ux=B+sV~EE)u11b}#oTeLs9~-c;q!^7 z=V{pWvQ^lB9VI87At4;Z^$I1)0foiW?-p@;upJ_GHc4YX<;II=%t-TO_1#^3yx;#3 zo!9I{l&n-sr!Py=A>O1vdaMZk2hXgNoBsj#Bbh9zI_4LdzJkQ}Gor0Or%e|K`HR%% z%}f3|e#A}-ja1Kq)QLQ{JBS(Ax9oE3b+V~%EoqGtZr|WI#Y?49_<-_5{y1_?%ZK~S zA2uw|TD1WK`EY*M^+KWZ6JfLFO_$A18w1}7O=Q!V(t{derW&@TUG|GkDwU7ah%tJ~GbGD22B9e#vN zE|H*e@`p8#p|0J=Ah3WXC40R856u(dn_iz6aeA0P$QM;%O>TL9tm^6ZSWd|U)gz}% zE`PzBZ)*Ff_3(gfXB>x|g#y-EOJ9$P_`kP_=9LgZ5)<64$W>XBwL~Ysi9_t~{f=m% z8}J7Xz;Y?%*!4o_!vl8#`LR&?mZDvmed5_2wV)*?FCU-n<5?9}PL2`KL6J07q3Ntq z4sAHt@f_1*K8Oh6KBT>j73}g_k!81V-f&YsL`=vP*?{_h*v^ndN`a@5cn-4c7{^Y` z)iasxzNWyZ1;Zyqp5*fneb3zg;RU|$6-bnSyl^21qH)c5gk-m8GJD_9p@sNkS>z(NQk&uBEc{q<+q};mZm>X z=u6M3@$QLb+rU5KR%)Rh9B--WF^lmhaY63JO|+!6+|bWBX`79|-^cb|`s$Vdp1?+} zRx21OQqER`R$o6oAQ6Y>%T0Y^pg_I(nu}19!Q|W84Qh*KNf(k;Vn*dmom7%V&Abo_ z#g+8oXoS^XrE7D%MouLk$!j=R&&RYW|t*xBrni8hW7k8pj!3=$fP$%shdvsNE!K*v&5?|n-ByewR%bZ1M_1E0|U5%-9@(dPN@A){@7El-e;|EM`n3sP1 zk}gW1i{?KA?2rz!kIHdmwU#LKWK%66iKxjS8z9_F{rb?`#7kw*xL4$C<+BpZ;np}o zt%O%*X=zKQ7OVmBH0C+bH+40Kuk%#m4?^V$2K?R%|1SAqoS*zY`&RRQ?y#4200;Er zsO;XBC3tdltlRqnnz@QBFb8kV{xsG-p03EuH%c_3AM|!k7`jquF7^0}Fix6$byD*3mi5 zC35(tZsNd}&X%Q;htL`moj!@kuknS6hSUzJZBr9G);nHLzgu*i$_nxNc9^O_N)}+3cIBT!u!8UgAxOrK?Hz@4t5rbj?&-dEoPxYZ+ z6{I;hRea=D>`V8^1N}Ebn7)&Lle&_vHGL;j_yAy#*P!BWy65FqWm! z@yFa-FA(_1FK%W^h2@Zg0wJ5AggCXTUQuC4Sg%0Tom=hWEsT3Ys4#qGQ;-sSnbewe>9tiKEP=GHnL}j4eguyp*#k28oRlv z?i|j3J2f_<8vNRE*Kk?n%d>rec?xk<17TD_Db?k@B1K0*q6A;2z6$CM>As95X+7ZrTpgMc|bwoEsm%^oVVk3h6R3knO{7FM{ zy1hZ;ld+;zu{YbAZ%9E+M>_s?w$k^(1F%1BxZ*7mjs^dhcMGvvrtrXJKG$>wvAT;>9z|NsCMvNC9dOESsE0)dc*E%h~b^v=7~%(*3N(RrpmNEcSa^AM|}dlU9ZH1|yr`w@#T? zhi(vKJ7FAMYV6_5{`>w{s>H+@xYO1Fzz$RXRiFcK0n}|`ehFXKvk@z|4O~?rB~o$) z5+SC*UqE+`odIQt`t&zA;3K1VzoDm@!pl4?Ev{=tBnIz7L?AL+eZbH4{V~P~mB&?E z8Hg8oqP@aoWlYSfOT)?`GAh%E)VLna3Wc@(&F5PVs|P=NT-C`gNmCp+EsXCMu^>x5 zcbw@VBDp3XQWd85L4SO_g*A&lcAPW}Go#9dJh{#jNJR^oLD-REUm-)vSA!w2cdu`yQqp&>T91Ayew6OdoIG&3T z&r0xBN^pQZ$bBI%5;#66T@S0Q>a{f!u1h@|2ip?(44MM5dkd z(2#(&lRnXf{aQ&d*yaTY(c0Vr7_vY^d22&|3~+Q&DLE!Y6LKgIwFGtGhh2)&#{gBb zAC`}T{^Y!baqF>=m}a2!uaoNum$vg?DDNH7-Qg44e4`fqEUq&_>4`c4s;G<+ff*p? z;p@apH$t06i$v`3jO3l{^RR6@MNx$5x;U`pM%k~IQe8460Us%pRY^`lw_7}ty5N?= znw4UZk06GLvfF9;nXNo$ITa#sWZkr2_FQ_>9ew9Cu-)xiLi*}kkE*i;XnukB zLA}2)#aHUEJ0I&I+F$ZdvfP=hD&H{ngC6q^C}yT;;JVP$N55*RaDvnlQ7>__jH+Ar z3rKO#F2>^sA-T+7N}sii-zm`534yp>K=0PU<5l%OH)<YQVA<>eas~nh{-z zuJ{zyaxAzT?_f$DAW)(65nwILE8gkKA{V9iZs^gAhdyM7`C1gz!j9?zGQ(LB)mj=yap<4& z%DEqZ+viDW`SDW}G2D*0c?wuCX)XEBwV}Rm3@X+qEX3HwxC~Z~9X8q|i~+g3skf_J z0dhDli=K$hPu@j&&3CNL>Qi(;4-|eScou!;)ff!d+YHwSZkrL!xzDYUe^`yAB#~%S zdbOqK$Q>U#Ajp1@o!>ePTq#thr{sSFau^6a(YP_n1d9AM%x4I{b@aZxYhF64Ls7&G zn)@a2&UFV4RWnm3J?&PA!JtEc!Uv`o0{AP7DkRP$CLrwJLHS*7vmc}({q^Bd}+4n za?G`4>+csqxr2qHo%AXCO>#OpMy?r4O8XsCvA4Tq6gFSZti@_KQ`N|J3!uIBp7C+R zLrLeNGOE+}T8eT+09K^X!Xjq?89fsbJ^d@~wrlGwgny~|ESRMS<-m=s^w(Roa#SLg?Dpe$i1cb`R z%^5o7m%M%ERJqCYsK_xt@W_xmL^Vazr`!fcBsb>Y{)2?2T$WDy(jcMk?s{+F8&5SK zYs@m&n~99$i+4lz6f>Ixke+=eimzS^ieBzY_uZ2L)` zi7`@Cx{xkAG@of*KW~a2zNGw7+kr{)SHdj|BaG>&GtE_7exEH_@U+wGg5NWVA)CBj zpmULWj8l%?lxkWUI7@nymY73G&${A#-CNdf6FVMjt?TQp(HrxSC)=0QP$B;>x&m=O zVF%lI8|vNfW+94`;;0l**c>(zxG~$5+(qQvC1F`Zn;-JqpgovaBYq90cyc}>u{*zA z4LlE@Q@RmRFIiMd*typG_h-fRb2wPzVpKW!E*Q?*6#Q?hWt|dF(-PY|jA{RYm0#fY zLD}6ejj2i}DFSQ}Ay?de3@!Yl=8K|1OPHVvM?0ZrsgT%>7K!P2R7b(A@CkWipI{7l z^AjmZ8dN_ndu^{gR%YL!|NGk=u-2U2 z7XR#;?XCFeq_v52A!=B1Z|7AnqF4D{SM;BPxA6y$8N0tlGW0NUi#mu}S{ZXn8nK`` z+vrmq8_{y}-v5J~T3!&F(?)`z3rsw`N%ikU`0tC+>4xO&zDs$|2Q&BJRRk-5xdFn& zMxk{|Q3v&0<5ARIp{bsW&mkp1X)^XpCSt452i9sZwQs%-C`BAiKit9qtegxWRwk

trMOo`&w2 zOi5*D9z&8cxe7%S8u6MJxzMlX&a!qA-)8R&5pc^T8xrZH>`cjt*^mM5rH<4cA-t_m zjqhucQmJe+_WMz)*gZ?b=v?yrMPD7DUc5SuDNrM)8o^K(6c3br0(TX?FLV)#c@qED zjHOBT9SfhP&!qfd#cSTjDb^9{YY_(k)6F>p$Uz$XNlL|(QBLt>@YR9V5z0S!A~xXY z4KarGz-q!fcJabM`hMKgyC`7P4 zSiBq1!0EG=s|W*X`uEsb-)-rCa>FY!42;u9cw`=wwvit`WDy--Ug))Q1|-J`-&+vS zgK5Aca)rd4hB&F1TO?=MShpfdv9wLO*I|wtm{#gja#}kQE>>5}(&u~qlyj;Sa;BhA z^Qt0JiR{A#VnHjP}^OSZY)7vo33g-C=w$^e@ zqFoxR(=7r!=)4-v??ZN#?%0 zXQ-FpsXQ%!I*+mGHCwM~WYfQ%*@g^u5$G$R$TFJiP-*eaCHIu$Yr;|YT!Lr=TWy(~ z--Elqk&m-9_g4S;@HPOhwwFDLnVzWM2F{i{xN8NW%(A!zk$!Kf^Of)qI}p>v({V`z zM+CzF<2wmz?H?-FrDMvF#M>b@$GG+xO-nubBLHLU|CUys&%XUfZx!<%zvnu}@9&G=hG=NyBcpxf+ zT*Ox$$%zJi;{k%>UvBd3qD>I@vN#*;QZ$Z?eqo**E*59}4zOw$BEvhR=|rqJEe~ha ze;DK+e-3u`?07gERsN7K>T$!z-4Z=8-BGfFZv&CVY?r?fehuvI!R`q7SEB3Zk*`Zy znPLVL(f%}Te_;fBH$-fnZKBpUhhTIwy8RsVX4Of2mSBYTjvzNR+s%rIptI1tJc3*f z2&i;Fnza%tMU=RyOutO?=`f~w?%k#_b$>F;?dBAN^G;;)N zFT{Jg!O+OlST<^AI1lw@y_kM(?%gAnVZ6x!uL)@?R%1I`UpQ!46Yw5;FVFf2}Fqfnm$Mq?)WMn&*aG}xT*v%jE|5%QZ*A}BuB6L z40$c~Lx_45{j{j*o3}-~h9kC&@Yx<9=5EXh^3ZOw}UO zJv-2pEi&P=60~?NCE5X6cd)cC8?kIAo#rfnL4ELWm)J(OQ(ssB@_JsJ_cBtMP zI&0JyDxj|^x*loHF$DbO@}tWO$2x41Tfgr_eH6&9*F15*vS6398$ z?k)qz&B~6cP_p;SVynXt{<;d^>(b+#k)c#pkV3bD7royP)J`V;zC|VrMb=TOA8BS6 zeJp(>@Y=l8(iE^xOt2kscQLkTXXUPQDR+oj2c?{5IenHRsZl7w16*JOa)4{AHum z@{P4ihySeD*zEc24kn7fAY@g|Q=Qr8#w!x@=YmF8ol*9X^L6)yRgff$%a_7$@MxAj z1^iZQZv*rGf-Ki6P_c;kP<6;kqaFAbAW?HBdoj(HqLpwC2vuGrKtrLCmEne_yvPag zGMUOIqbjh2jAsm;S4+O&M~`H7`IvsrK%!M1Rzw(j2sNKH}W$R#IWr%PR*cdwG6o+*qZU!Li775a*^>1@s11j)E`1*W1u@{G`g|*svO-4D>~vKKz5*3q&bq zTW;d@HW9~%u8YoVucM75ZL<8{72Ev2e1jww7#28Cz9>k2eGx|WMmSlolk78U7IF|H zbVBxr*)E@Z?v3`?AFkNG0j0|(Fr`loqcih64ndokw{^+)$$m;={!IUoeuV#gEvSgv z##aiIJ#n(uJRDv4N!!>IHFGTGruKeqq+M<}H)zGPB=0S|uTwcjY?pGL)QAe{iQsMn zRe1+^y;73t@>w@+NlyPZBI|+oFmC^8xQL8X+s}92&W3D`OdhE9j;09?{L__OKpi8_ zWRDbf3D(EEZYX`%W^W$N>M8JFn=`2b&SI44LSL5M7oiKU5X&?-lIY0>nEeztJ|zCO zj&UL=?pj#@I8W%ycXeu*1R};b#5l@=bL%>X>b#TR<4;5Qk}iv)FU@k5*{~n{k>-cN z6seGhjL*OoZ_N&^zJ0@W7zG+o#hyQE}-Iz&GxiK1Di!tH=i3_&UMMn!hsw9%#RUJB->NM zn<R?+8A#uXO4)j&_@3VofAO{7&BhdMLtX!xQ=Bu`B${>PVnY{@XBEx#dAF@>=^9 z)3VxDM4RECqBfyteFv+?N`o_Lm9a*yb`(5jvya=f7SIt4x)9z`h$2GcSvY(SoP4@* z@EG(aY?hOKjsX~laWx_EH!;bV>Fk&E*k+8kOy;G$i{;cW?-!;0z~TaH|2D*vfJ0`U zDC=)+N5>Ghx@avTQ)`AY*3GrmH65`Hus!dgCqR|6 z`Y17rWAGruM!$bDubDl^`G5kgkmsQ7FV4>mk%z4#UKQ3#mtR?391{`n&-L1t*5)(# z?7JT_Yh0&2vL_GcfIl{&exn)&0j)MsjSL zEPE=GSOM3IOdK? zDhapri-m5+*XzP#&q_WhHuE|k5x_wR1`#&lKZ(h`bZ7zp=@Tg&)tJ9;L@mA}e%UfW zI=xNrOWfT6?7xEl=fs@FJz>hN^|$=j?TzG6$-s!^;-t>{*Ec*F&kRpuH#GBf22m{?B6CYg^qQ@E>$(FRo1lQCIEmoB z$@jAWLjqlMW>?)Ny9*(M*laJ7Zz*!8j>jYKgig)hsZmO07>A1;&L!E=E z@%x1cKr>2A0~2pot8gN&gVL%pre z6#a~P9rOH_^EqqKc*%E8#n}PwgzM133TV|FVm~5$_dA-p+n@-v123#y%^NVcjSR>g zP{>Sx582#lpD&Ku>#bVZ5+n+dV-tl|CRPVofR` zLkYOFqOv$m=cvxrcHUa6`s-;g?gnPF-4w>2-&f4!EE^ZUo+N+{t zxi&yk4cID?n{Wt4R-#{r)IVYyn>#;xdY_ts;V3}Ju`6)rqOhrq&v?NvY^7JV+cQ zB<8x-SzdT=fZK<+S{NS^K_W_55Z_uF7b7`pUuUHip6Gxz-2?=kc;=m?wpB6#u+29k z2S0XYVZ7$%2WDc>Ha%1LtUw8%D<8W1J%#HW&MY@{2Dxq*op2@mz~E1`s^ps<_Rm57 zI5UTEURiMh-#2M7ts0rJ9JA9N356da_VJ+^JSu}*-ikA6auAYZssjj*{64oUirt5g zsVku-CN9-RVrm4aXo1Z3VJu7x7~zYbPHj>fOv4qSKe6&w-SrS)R?bGV`mW1OM-wfc z&YhhH73DOZwZ^8C;85#CxjIJZozT@yBCPyPlw|gI2?3F14I7@t@v-rlH$s=a&%RVo zn#D4YbNe=a#M_2`u&VI6EAqLM-MQ0~DF(@a{v!KhRbKH!qMt^LPAA!wPp{t9sdb?z|^DQ*f~z%SorD0Y!xH zGq!V#T=AXC(xS^wvPg%Q-$ALU8zFxFe|F?4v}1>gb+gXF-T8Qe0AXhPW)KV5W-~-D zlgE*%ysds_mcq#}OtA1mP06~yZ=*imC~bh_ZL)%eR`Uw`p>kR51IY*2g}}GrSLaCt zTX8Ax2mfZ`+R^D!b|;IPr`n%o5`F{LULNaS!(VWukH55Jh?*QbgwNgulv1ik{oqcJ z37o3zkx22 z!V{rmIhZM7IxA!d>Q-Yh_ygCs#_Hv1168@-{Rwh<<4D+!WiS8hSa>3v011V&ddbbd z$FKX1Vbdk|l15(#NsJxzbx!o-3m0zkTCnW8tBpK%ya&7Faqonqw-`ZIPu% zUHhaGH{bvaKW2s}1Z+>d$#%;Pfv7Z`WOtW~QcF1WPU!Yu9i%nS>iv3pO?YzDLDVa0 zQ@Et|FFzY7xXCKd*u7l&k!n&aFCCmvbybvyizQx6OlzK})ntLoYnk!**QSr+xh{?B zW1Xbij@BtOU5`Zz^#VxEcQ_Jz_QpRb+35vzEqi|p>-MqyT^#MbPa$`$mkVDA5-ZvT zxm0WTvPM$k{0CPS_fyB*lm_+eC%GO;2E95ke`^fn$i92$x=VH<*qvU)h#q-zkmx`k z$2`*MB`sno(@Wdj-~ez&=t|#M@Kn+po)yKnt|mEb7P)q=ED2I^w$RUBVN(-GxBjCi zxHjNjSAO0b*eY}tG{C@h?#ae2g zWsm8J?1CuRXMKT-Z-vqX7(MkfH-GQq4&!#~4Ka1N5VNdN7n6&a^ z!2DH;QSJa$tEUucsCFZg;CZ&RN?I5!xPMvgS)rub2nA2r)TK6LakV}th)tWZ`U#0% zxF{TZt^@}ak71|Ih?BJ=x`whvI4Zeb@B4}7$G$I&0g8b}piUq;9}`Al6Xj`$&;^y~!)QO_yU?+R=q$I9-AhqHm>?I=A zdgK>mQ51WB7I3_JaAQn(Nv8269#_ZXiW+LlzwR;E9x#g%zqD2!vYDWOG$$?0eyWhr zvJM>ID1Hcf%$!iGQN>T0;F$$HY_>tXv$yjjp`V&YOwT+RGh_T$Mk;TM6>{wS4$(Qt zyGt1^V*$WcpHGGlNYa)R6Rs4Smwq4|n-_gkMpP(P=naT~B?;LO2+CQAVdX8x({;aL zBq0Rqg`+yrt~wOTZs8Ur59dAt!2|C-sVfJR)+%npr(GN+GS9QqTDx|6ch4?sNwBS- z3Kqy>W)k_7ZE{;5#@n%R+Vp$%nnSck*OcDY-XAh{_-osrFS@#B4g7U4)Z|Gd7VYaJ!|RdN^+Qr@0+bXnumFZ8JiTjh-DZPyA8;jv7^+J>vhKm@6=Rw zN~ez~+yCj`e3Tivh=^&Z5|;2Pr+@sf&StI`ue$u-CQeBPl^|rzZ{<-MN;^z58cK>x z?1;R-!s0BF>_tuH9fBluG!_!jWkVM{TK6>pL6x~fipWJ6ortt61e!**6us|!e%!%h z|6-8dfP!}g5K4!bJF4}^=LEb~hHGs}5{h=%7kRmVUn*YkZDdAKHh1FVS=QK-{ohWy zf;Z}Wflwch`tk}A(~xf+8HQ_;TKZQJq_dDTaYdr_=WdYgWp7%}>(DkHPq6MbJUUm) z;bkI70%3n-Y@?`>e89;eWOuMa{SmRTWi9?tpin4|tBm8Wwk0&1fPI~N@Y!l7(|;Kd zaz6J;`JSR-B7qG+5g+92Q=5stvT%kv8ln`fP{BtcWDT`4jo*9)95ruwb=vFR8)!I; zNVE2K{{*>UO>K*`?q2pKcLe>lWx_Sq-;9S+Ecv9rB3E($@hy=4%a5z#jtI)&70x~SQ}Jj5T-GPKYOj;N=*_C7 zOsmTS+BF9>5us^mUf7vWJ^!5+txF#~7%+;343vuKG@dC;Ugk!1B%`k|N*|A_4uheq zml3XrbO%=X6b&m!%$vr0<{A!Arn@QW^UDLlEP&JPezSf=NnWA=&UAF}o@TnaR-T^#(1Gs9SV|vr}cYD`+{=C^uOnfk5d4!I40i&Yc0!0u^nGG zf)k{JFuEX5jgXQU3+jv5G=}N*S(!IvK+p3joyRbYsI{kmS6T^MJaz-9INmwsEWKj) z5mVFReFP787Y<9Nuy{=}SA-Y;RVWXV>+(bCeKe0)I+GJ0B4UToA+LQv zD_SI$$%5etP@L`sXcjon<3F*s(%~M=ola7geHQb`nf=faufBgU-FdLT&l`Hy#ij?s z@cWxc^9EiFYeNKWlgW1rD}jrZC;z3@;KS)JB-&o=6{~%`-%Md`ws9hTl$g#Ef1gBx zWEP6*m$gZjNzSwVJOJuy=%Gla+DDSwkgZEa)Nsd}ht!YsF)C9^K`Gg&1b||n3BTx$ z6W)8{J~ch{J9Nl^5Nrido=8~~I&*h0zVAQ3rjh(28eHFfT!oa~a>jHQD`H&qstE?@tmA)Ovva)Xl z6T!%>MEtlDO%MV!cM`xL)~4^vd#_-ht=%HFAW4H;GQEts#F7 zW2s?Mi-9YQZc6^KK_Nl0$n0}afOr~+(nnLob0_*e-LhG8bajF#a8d!7i!B@pI@6Y( zcyB{KNE1L;aMzu+X@wc`XQ;Q8Dz{Jz(uE;PcdGl+3Rwir|AIyr8{=los z&E8ZUFN!mTaPN#S%;=0wP|@cfGH{dhLhm;>eBg4KD~#|H{BKJlz1dH!I)@}TCOu~i zEnqW@dczi2b??p9e%nXyK(To7U)N+2WCio*?hcB1fRrjCytqy~NGsVZrB)>BRv3Dq z97&p;YCy!F?#}l-1+w3P%3GRw@Q1Q^RG>iBHX*^`Xm{nkVm7@QF0?IT&E=m^VuRBz zTAXAA#YB{?G_(CxNt&eIkG711E2zN!ig_#)@k&|5CeQzD3xeqGMxN2xage;qub z)^${)(QDIeL|HYCMC^y{F-*BZm~<2RG%q>j?X>d3FNU_iKJ-bZQm^ZG|KM2AF*%_@ zRq=~E2l_OPr0DPVW0#%zUoSwQC;cLx2`)z5*AZjD8GbP#-;B*|FM4KZH;@QA{0Q>b z#Q@Ea;5OvfWe3zDV^)ry-!T2iegzsv1eCWveh29@p&Kytn1`Dqarc`WqKm0nt?jRC zyW4h|{)#YVNWH6B_xFs_u@x1YydJKb#10O&-Km!1*GAoQ<^@O8>g;HgSy5E1!5FNuNWd>P+BL$#_|AnKyr(HZd$7{mm zV!GI#?%E`_|Kh71X?lfYwCHjGpM&WypM1tKc7;Md-aK`zgSvlhWxTuIKrPDC2BBKYhTN_Y=#{L4H+^O zLj#5Lyvu}R&J|iLTi9~Dvmw8Z@c)r5Y$&KX0u?dGF7_Z?VvnP`dutM6vSl3SKR`de z*>#abbDpI0H1i`sUuPrt_FV3NrKDL(Qdt12b*{BzD*)PeLZ#_8Du|*|y;3S{sVIq+ zm3?*mlISBbPNV~gtGy2}YKzJ!r@JmBXY+-^V=N&>-z#{iG9d<>F5)O{7rs0CbnsM( zAuDH{1QqiZ2I_}fgOvGUXWQ1}f$tsj=(~$`3ByLL28|MwIB5OgDxii5yEm*XCqGbq zwPcCZZ0}IJ$HjvFjvKft3q;azK6FOJ>E{&I;?eVu;mj<~^}NO}^h_suLox$VH&zvj z0g04VA%usCse~Sbv-NVCKc12UpT43*W?vhD2lJ^%gf{UrwGX-{hehv&wdzN}d25zQ zc5SjkhW@F-wUcK6hi^T8e6{h3=`?m>f&NT9flvxP<74$q=)WRN}IpCcJG^f6M|jd7qWMt%o6NP^qD1@t+ne2 z3j(*%I!)rg7{wOD;AVxq*)jivOvtwLMJ(Y6a%=S4wgH>` zPkjXL!R8b}k9T_JD4fufONibij_m=yDTKYX%q|a9&b(_%3+>Cj%R-V+Z+So8a!wwb z7k_@BSl`}f70!D2Xkq5eMuT)l?Y+BbP33L~^>_k2-S*hoBwi zY&|ih74zOvIi)1fdEI5r^nRWvo-AioHXM}bU9D~>G_=3FmU#O%KGhhrDxUctVb z(M-wVaMFShKjwTTdBdL}h&*!Xm$nRGYE1}l{MA?^wvBKj5;MJ@gE3;tJUQk;U#v#U zc8N=GLRfNNLwtP1v#lJX4_*z03_ULMy697#=-7|>9Yc>x3kchX9&K?~x{Qol1acd)h zQ^tqX*B)IsXWAd#cfXb6%KtiWe6o*gllv_V+@az)%rcq}yBR#I49Sg0KXQ(QBsSdt zXjhuB#`0Ox2}#ddvbddD9c-GSk(Z({(|O=e-Ov>bn>@3$p4Id-=|;J`Lc!;CTG)IW z-c93rcA|Zq@`x+?|J=}f#KgiovXno_$?x7Vj6-NjHzq3U`*1!hc>7FwRwZTX$DJkAklPPhRl5SvU_HyDf+2)eV~s^1Y`IZxQKwR zmj_&0&dh(lk6JbW>R2wZO% zlHqX}`u=hUGz4_!d5CxyuENVrA}Z5_ z`xmbfHWlpaDc+ctqoVlI4==BDW9oEb@?s9^zaM@*9GwVGgr)ly>3w0`fJK%1 zjmvx$@T&>f4xeg6@$W@^MekxLcE?3`lQsgO$8iqW)@phghmoQ|)o7QuB$?EomM1^^ zZJ%q|n1o{psYQ~6=VkU2#uFZOgrLP%E4i^X;Tk?4R!n+h4%lVtn{BKd$5nD2Xxs<=765OEIALzH@h-r_rip-B( z{zL#`g6%-`FMgJ{-PY-$0|J~c@zFAiD}t^!c9(pF()%Md;nuTF)C+z&u zCued&wq2Eu!p3YN^+>avLe*{?yoS_bVqiG|l2nRs_a-E~RsT7eY^(%&BTEaZ;a9}w z+)oeTb6kscOWE!QXkJLGl~lmB)sfQg@9+^5&D@QfyIs4_jSWv<1M$V+aItybRto)4 z2-*FjFNn{zv#*@nCCSdmiD3TA7tHynS16_koBtK-f}2}PTXs5BPI{4svOZ$CJ+1!7 zqj233Ka_rZUcN57)LL?VRKGOk3!oxnY0sbkcR~7F64x754-w$BXi}M^hfLc0jMa%I zTbvXyyrbY1brwg*B@20IVY2J5J+zkAmo)e*O z7#IHGrrVzPoR%C#y+WhSjM=FBVwo&eA|Tn<@qFb~&8E@^?IA;amX}{$(M+H0trGq) zUtP|qY=2pR5|D~K3b;MCXw|C6bvYz%YThM5V>m75E zw?=LtWkHXzB9FPw)D5#a*CWN;z`3sOdVLL2Wzk5zPRxLuCPdMBEcPeh8Mc|)-uOZU z?934jKxg}NP-;5KK177|-Cj39 z>taru)*s^(-G8paV%L2Np>=8+EpaMB3O7?s3rKlnfONcjzU=MwMjMaiMJEG3L=rUF zpQy#B&ztR1YvP0D(BDO0kg#k5!WzyEPMcd?y(`?96eJRwN%kLkX`Fa(5jGdGs)Zvn z8!?h-+nT+mF@KBSZf!){QWAy9rx$MPsoXDGY)!WxQqEwqJ!T z5F(^~Q1I_lRsm;E)jMTX7-aW7s(u_i?LZUng`VsE?~t{B4kbWJ50?>l<_+cD9_<|c zSXz1+a9N(0zW?FeY(1*M(tyPaw`G^CE6K}OC3XNolF1)_N>3XLI1_#G4H#2#07yvy zcnYW*W3#L*4V6`D8~AK)hm8`VIuQTI(UpfKnSbAzZ!_7dHBO7U%}kS~rk3WuFlD1z zE~VkFWJaclCW?xP)L1#?RwMo&QaZN?}dq9+Y>ok;hip;;=d?kGy#wk!+%(p{6U zvHy47o#3G-`*(jk{>ExZ{ciQYo{Cc;yvk=7{BhGeU;XGsvEQHYU8531Br92(gLang z(CAf7$hXIVo89z0fSm8nXVZ7!Y;yoUI}7VwzCHlzrqI_z`7`wGFbO{@*-N%9=JpTB zVxSc3zu-dqt^01R+uy$LPt@WQQQpV-*R21`wPk)v)wrSKa@>N;x-Auw4Ty-Zc#6X_ z*AK~Cy;yk1&Hno9uGMd(<9FHdJy5{x(ymjkqt@kQH(S|eDm^DEX@|nsb5Hj2h4-5o z$gNhFGTY5miT&Q7(ttQl8dFT~zGwPMks3_-AeVIGF3D<{x#NJ`_tDS?&MI26(%d=Y zx}9Y2;mLvFWMCwXU%_wH-dYmqkDg6k9j8el_Qo*-jqT&5NfA zo{AK~#qSF5Z*P#{7XyY7%hJ=&MxlA!V##^SXKiGz@d*!Fz4n8?nvCozAvrnpmNZZC z3VB%og3pKl((EjRs2Uhs&pgx3AS(Q73nNK?H?DoxW$#_7U>T#WHp6-Mf<)a9r`#l& zY8^3WyOg)a08B+tQ65ZSoD2lF8MBn^uVKVIH-c(=KkI2-GRu&hWbwpyd%4wmX<9w< zrsW5ezjcarxmHWx!7|N9S9j?@VsXQ zl&u<=j{XC?d1g^D`wwz=7RBNIV?%0D9r7~)I+{YQS&~Yoei_!t?@r~(z>A~J(iCmQ z@b+ZT+-8gMvEdFFbyfRoK1`soOLAxCTz4}4lJvrGR z9|ozgQ5mYL_u+Pa#?@e%@#KrYypR*j49GEPs zEo7q6^C$T@F^$?h*-t#3Wx0MGO!cj0!hm}NB7aup@tMjt5ulQ_va2jb?7Hs!{WS{W zqRsC5a>h34@lXC0%{TZ(x>`R=mjZWWJ_L&Ft>|@DGOl@DB+g?6t-XbPcjz|KEs6D# z?D6wxVXz85dn%qr-M6gm1s;5ezJ>)K{5J5z&$4YcAWts+Bv)h}FV^ylmrzj% z7G~+RcfdMLv?1PhLI`ZefGbQEvp`|QA9RyXf5 z&1lzkUn4(uNELqFr5Xv}lEEXJM=0js$>u|MTO)@T1wrDit?fX*=28PrfhIOAZ~9h- z2#*_7Nzc3xX13Fqrhf2Q*UcXSj*n|MTYh{nv1N>wK^iBv{F#N^wJy``StfmCa_67$6&&0LYwsE^9hfmNOf({ASoR59=ipo{BPzN^YgFlmN>$ zuwGX#k;z?xXzzrS?^jc6i~8}~H02pP_t%lQ;c8$BniK%*Yy-2Z&5c!c-DZdOMs?-e z)Y?uyS26SskPL_j@qs{l#TDjaw>LvqG3@}hx%M)c{~34p1%~XfXMZcPrDux0&rEMM zCVS<<;VNbaef60P0$fWDP(=S47Dq!TFQx7?-N+=WRzCr^Jgfw-eyulhN6y!>LIJ$y zRuG(|yYs8UgY4ne_yfNkLwFv@kpN^9-GLw^7YPU;B+e)?YfGYiIWbu&%qeHQ*Uw{; zcLs6UXG$&-lh+McX6&Sj`mcX2s_5*bG@U_S8-8EUh0-N(NlQQI%u>UAAm7ltxw@Gb zxTL?7*iBB?SE=R{--i!0kugj34B8>b(u&kxGjnWZux#wPuldK;?EEixUI`rSUo znSEc}Go0WGQmC};LAqIA_XAgngzv6i&HWRcW10?j{^1B z=c-LCO0Jsj%N^3!Lm%dPLb+mCRqBY^#6Z{zczwbnu$4?N7DqE8XZV2%?+9 z1xbgV0|(r3iT@HE-ErHNm8K*^a*?KHFYCFJ7H7Q^BrjM1eYT|DxX?K3i$0^U^bC{` z^`(TWtz`qy$~>&&_tZSIfme`&N6$eYjD}>5GFh^nQ+y;l3IF}!>-d{Lkxv7jT@3-b z^TJsMpFa1VjFk2hS$Q&Y9n{t&t3N~1_vhZ^%5o?$9bl9+(*KL+p_Tj|QmF(7Q-L~T5PfuVFf zeXSohY>ejAakvy3v**=YbZTOUvE+D4WOvML8}i_Pn;8A^eggW|J-1K zR#vUR$q=Ubu(qGF zDTYm&+S8tptjI49wL=**55a{%e-iNf% zKlnszU0V6IUNtsoFEO#-fVD`mNeLdWdn>G3BT^O<6<9>pAC91+I2%9OC}PA%D*`rJ z(1u*ufLZa%d|X4|YmLz-CT|{fpE!h4N^E*gz7Tis{bDtJ6OI`6C+aga*1wT93eqv(S@v zEtc{;MZFL5S9rG60pp4Sz~k5X7o0#oTIj8-%vP9YgadD{x-yZ=O4o}3!LL0Eodv%qP`0I(uhXBIgm#5X!ra9FLK&jWCBjiw+SsJ zt#(oJ?8GC)qWHzX`K8*DOXP#O=k`~gzPvSD48FBzxIX0Gn*P%rxfi7!BwKKC7>-eR z#pxaEzU*(Wz4;1t1R3gs9EEWGl&!}HNm7DR9<+XlTGiOTFmxxI(m4fV9i;st+^$oyo4vpnvA9Eq zpI@b|xHMG#n7N7MmvXlk#R>#M*V+ozG`5VF&i+=3WQO^f)udDo4L@IL_m-YflH z+;sHa-J;-|C*~{SnW4+FCA7RyH0O@SNpH5dt4H~H71JC;T}&T*PUU$O40h(gL%*C! z)qwd(^3aIj_;2DC8k4w?_qT>RlXq?V_utbGQq`Ud^cku1YF!|ufPt1NNURHy%$9}sJ|K5?Uio&(t&RF=sj1&;wm<9!)Eyzi9bNe(bP(~hZyft!ELS7fEh|! zp7p~k??v~8V#8q}$(uv3AC?*{$(Ee}^RW|N7MVe+sL;xf&0Bj7xBsgbx$&TNnYAO< z=dH`+1$P}nfLDH#m+q=}K=8#GU-Zptiptir4EZ}=n}>n?)(;^Y^3kLiL~r4khnuBr ziqxMw>@`BGs+;~YL=Q*fQ5ikY0`g739voCwF$)qT;GM7-;3{kUmizPZ^sgyaH&`}w z`Hr>%z(v)fA~XWQ5s&j&cl;Nx*N@6Rl2!>$@eMn>R18!`=DxvZCv@{HXmdDgu_Rd% zxZ~PyYn?0`=Bg<}>;!P~X{ib-YOk31`!(If!}bpoo+=IN0we(bRJOL4j$4spR`zLR zqSBC_;ltJbV8$+HmyIx}emIh$7$F3GQE!(#tw9(^7i!%Zq zcIC)CC8J9+AB8v-&r%Bw@TtdbF?MMuT;?G1N?C3;nt_7oSj2dy%6v<8z4fbl?(h76 zu9kS&ODekuR(9g+GGx9o4@OpS`A1<7270u{atrHtT6C!O zY3qnri`;{@ff2AaR4f~+YUT&vx6lckh*c_6WZ+_Gkgg5N)uspdh83lBdY?AEQ{}I< z{;szv#`H~@s{W@vESo=47{Y&I*PgvH|D=8T;*TXdXyRstbq)2kz7rAk6~o`_o)BrZ z^=_5*Nh#=>R@`?wCXcq9#^-`WeAs+z5K!4_))_cwM;{PW^1;SPRPh>`?5WZ8A>4lc z$RX{h`kG6-dR~>#zOCa$igft$=BaYyh21@2y>AEV{RpcjzY@+z9*Xnf6_u{tSBeNc z@lcAe!w|LkLbJW{QMMNu|mI^)yA;gq6uiV^zGiJnULl*D^UV z@CX|{(6qgZ)p11QL?QQed~_bvXVRzIqV%(p20fXtG4f3NZC`#BBgnTzy5^3l2w0QB zm<}Z%<mt;2FKc*giw5gGNRI7)&gSZ0C24n6gk(@0@<+H&+Do6D{J^)} z?vp3g*v|Lq<}}ul^=*Xj6~-TUJLXzg4C^VY+V`z%iNE=9f|$f0IOWXYtJrEkbXiIN z5!GZRleXvc=)$2#=bn-uJF_+Uw>Iy-S|0lm(jI??JIYu)_lXPf_tP72ij>f`^Tf?k z2mXt+k{~VELM!uaVML%#b#r*}{pBx(K3;y&SA-xzp3>s`c*Im|_ZeeE51v&apP3&T zBS%^J9!jTf_i+uhch<4|$AZYY`ab}hgQ@JA#7NGq-eN%m)ji)VhD8!R>}NfU?hV&u z0Qo3bbUQ0+FO*i1y?9Ed=wE7J)A^y8#uyYe4(3Y}{hn2@V&F<7p)n><<`!6B zxbdz5$w}%hWO_f zVhR#aZa>zu#f{AU4&Hc7$?azky)Q}};<1opt79TXSACfm|4l>@)a0e@ zDv+%k%TJ?aym;u`2HKI4wfJ%tu^0rh~hK1~1_Qg7# zBXe0mFO&3c(~fk)$R6dbz8{7+>3Q_!sh!>>O7jGizKxJ58b;p|QO;G0B=6B3sOjJd z>(|U@7}iv0FH1)~>U#Z9IEA#~C&2Kskas1U4Evt7a=%oBW9x$mLQ|N;;cusj?c|`5 z*}hfm5&XU59c_qBcM(iWc}#s-nYw|tmpoGR?`{SVLOq-lBKE{BSW=iR`@<>4AmyQ@ zZP;BX-POX1@DAFZJcilX7_O+QX%8RWc#(iR_qO_M_q+PZE4xxo z^M;Q4M+60}P3!|@CO?<9pB4&0V2vIiI z&!~CUkiWg($atn$o(pSn?$$4iLihm3LUZAFBK_RZ+g5yljEf$KjnoG;@EK;B&6Z!X zt{$z+Aj&tJ<2FxqTxHEjwbxG@jQhue?!nE!e`J03J)p|^yn@HLnhy~)VBZ{=6RBF> z0|6*6#7IbYC3Dh=WyZzN1&DV}yyt=d~xte@8j@?=s- z)Paw+Ghfa~wcp1B-x=Yb%Gfr>Uj#($Z-=x4jEN8>gyKhueI{1iqK_d&1B)Q!j%{q9 z05%$LFkliO7V6_^{S)hKG+BQPYuueU00uruxKTU;pcP3UdgoQxt)TdN$58KVv-p9lHve@z%Mei295nn+w5hqOtPN}g%_S%;%#YBJ@zEcN zZ0 zHNY0msTiwRZ5-xTx+l9SE}lNxxmmwd-w=B{RFfCEoh+F=M!O-~0TcC{wBfgWws#FJW#dVt%%Vi*wm ziE`R`zXT|s<(@QY%6E2848rW!%?-&+zGx+_LL24oQILe0 zr=TfTaFN3^ixi=^wAUdVG)#BNx9zrx8oP)Ud}2g+8QTay#3062gRa@j8;u9f|B?0q zv*vl!XLWYX5m5)G>iWQ&AarlAebrV-ziQ<9lCIW{He%A;Fdr=6YKLw9UU4Ho;fmGz zguC9cB54#~A(@Be+r+a?l3T37BM`@UeZBqV;fSGJQ{5;~VEf2xgf9 zp2^E8+PO=~rLteWAgU05}$4_c>)vZ zWu37RdJHctr{?L}PCP2kgpV~6D>sK=T~@?1Dt3H5{*N{qUhTwYH(&HXJO5mk6*WL1 zH{knox4amsn_0AsW3L;YGf7j|(3HmB2Q=}hwNj&OT0|35>GP7%8^!XM`np-hO4_k5 zzNr3uFn=#3_OaOxbfe191|eVebR%|W>ANRRnle)XYc&L7=FuG|Rl1l8Vfl|GA*?no z=;rzgqWlJeAgv^Un-b8Dx3~C0vZxG>JCi@6Hs}=)y?mjtpZ(IS%Wmn5wY&7LD{qLI z!uHzQ2JtVD!WQ@d>ha0Eqo_Unc|6gm8!by?ol~){)`%PQ<*zYzkca_OS*b1Gd5M5p zgz~pzxC*DA&LjL6`?)?{)~jt`F4bMXqOXbmdfo>l-Lf!n_YR`x%I+#BxVnlT<5C2W zlX?7-iOZ-urvBFQL15(AvJfU*=f2zOsN?ryB}CDO3P8<5^J?a3s>1s8!-MDy@ziE? zHpIV6F~%p|Ms%dO>-$H@?&~{b8WPc?g^qG;aNbxdhtcjAV8E4yIyXtFv1_1leVaq78X|d%EC6x{V zqR7GjsgrW`KEBk9xpku?u(@XOZUBWZPxcr~mN>CES;%Os^)j@9J9RmQua=iwrV;;T zm6cv6uKMSuU-6+V{63Gi6K*)>#L>d2KsRJx2&?UwU5)-?UhLD8@dJtz+2kP5wUzB3 zgA#(;PQ*`G9qBHK7Z#u3QWb&0nKM|lVmjuCpN7ZCnCpj zkV{mXr9Z+zu|0nW&f<$^ielX2+kFegJ`YVB`|XwOX9hiN^%Saj1$dc2?CK79@aQZ%d=BO~EG~9fMnX{8xRUC{=}1jj_?O zB9PQ_VNq$R7=1z5d&HQ!Hc4;^Es1vHK)O?yyJPD0)uS3v9LWQz_uu!j3Cae9S&es} z%oTP3xr!yrifX%pG7q4d9>SuOcj4A{^DX7uL)9@_>;ZQNW}P-=k2VZnL3DgliiamMJxgq#rOg<~ZMWdC=Poy9mcvTAkuzGa z*Yr!W;*Qi!ByEkJBPwYlFLEM!p-m2r@gvDgB>o+nyfDwu{y4vCmttG;*pg=)m;W#B zr!GU)cK5k@MG~^;y{B6>9O;*;_%r8{N}8z$CQh25g92yR2t}-8IZtxT_H_|b#)Bj{ z7P}PncgkwJZ1MFy*TLBt!crXNs28J@2h)@qV{$xxv6qF?>UtyGiH zfwy3WW?Xeh2Pe?ZuTjO*0*YWHX8v3PD%t#e6=!QzD(e3oyt6(N=hzZ$;A$`&Np*sf zQ8p@%_o{}2SoPnmbu5?eeXScfgIsJx@_E)l-jZ{#c6{>CJqgKttf%(+EJ+ZF#PoY% zed`BdS*tRs5&azWd-j~ev7pP5fgV!kNmjjL zKK2SiV7g|*n$7o4H-7wB-y+Iph4+SHpy9=2PB_~nbmJ(v*R_65`P1T*^bzw~Z}mE* zK}62VnvL4UAp%tL#EY-2&%+nC2n{yO{YxdN4ORUU!(D_Oe!BG>fbfMtN^Wf&&Z#Dk zP$SMFDJId|C+Y~<%zXx4s4~2xNeM{o^xQ2%-A!st*`95g z5RC;^p(yid$Ko$h5KS#_ zWq>H1G-J=m%dd0I14YBwasH8w@QT*)=#XTClS)l4)B!8lPHg>H{lfd5NHG6N*PAJ7{S{%9C#wMR#n8s?9-Y*iiNw^gOMLmVOhpR; zD1Unnrgc@l^M!(XqIWIPOAtnZ)?@X~w{QFGra zjQNlx)w0QP0&E2HC$B1zc-yOUuiNK(UZ|yI#on52(sWP&$9HRUI|4Jsj@1OWEvcKR z2Um<{>8EN1t>as@L5Ra8zRGr0w~8x-WO=885iiVZj3HNrv|fiV5Uppk^|ih7;laYF z(F9bakf+(5b;nN0B>CALS0pXc%s8t+{ODLduf&(NHYh67#d>QYw@xZp)F>`0pu^|O ztM-t5Biqf6_J<~@p%WOVcq8NjEvlMbg-e41`Ez?$r`np=X2@*Y#=*|Ji08d(DMO?& zyXNQL&y8Ybd^5!it z$RG+KRAF5OEq@iwrqb)@^>lL$&4=k-z1SPc%dOa4$r!BIKdvg2FrzjgJJzI3+|i_^8CQP(g#R-+XIZ2u@~A~m@!AH3uH>4Zgk zN&HfV@|H(tbMd(lg96*>h_m=FMRuhw{?KqWi{NsT;O~7VU<{o3VNN{<=so8a zt~0C0iPhQhcQ8ONP=yQb;CzDrzo&M2}fZ>+ZNgVhQ|1I!G`?}#jK6n6S5f4r%4EAR2d%iZ9hISPl zUiBIJw_ZKck_>5GQDx*s^BCTzg8Ok_2;Ohq3O(NvYZQ~zSEfEb(jz)$CI8XBFtJ@f&{N{6%OY^l><0_hR&gZZ6SqJ4k^n=xyLMqkDL z9+YpRqJ)rKZr>8Hw+*W6@?c-yiEc7;%y55D92H=m2p;O=0OP(8;64=t&~-lxlQIzx zmJQL^v=RJ>|SMSIkN@e5Mi|a0+7CEzP6wZ;EKI^WzmZzo=Xe0erfKMWst|)18Wj zENyZkuut&tc3U0mgPwXE)C$2jQ`+`B()vWTBKGOHqdL@s-|1L4x?41ri84w$AHaRO z%56*??14GvTS2~F5tuQX1l7Jv>}r0#FXNv&W|^~RI6%R(76*Z)OuRS8zItH4%8RtF z0RK7{EG-Vztrn3TKI%PZ|2#`&J@~bC-Fj1qCSwo8ZYJ_9g;)BY+_tJ&^h%}rnxH0} z-#Ul?QW-*Ws1_W*#`uSy7xFps%<^z{M5 zUhl#n-BeZ{@Ga4IpyV7mvo~gbz3N1y$3Ot2mNY-Fp8F*GPR^0}26BMraJzd^z(6&< z7|4*W&nEyv28O`YMpNdN`a9m;{@S;uUs_jJHj?gi1<-9QJVAxN;HNYT3*ezMu6_tVvR&*(1WFJ743zd< z^;1VS@^P(x7yAjM;9lI{E46)eb@e-aR+lrdwL!ii)%{Fnw)f)NWEecTeja!9k+Pl& zdUih(FBhuw4T&-^LV!mH8X>zB3JXn1I*H}R$kQ!a&k?0)%c^d(=&O2B7B^zspKj65 zReepH&w$vS@jr{TIu}80X#MfguD1&Pwv24M)wiE%UZ{E9D6wUjr7qjq5^d#;29$_D z$PFusMO&o)X$BA+)r&h@?dgy`6E^zPfPWWLiDx&=jb0e^teC&qYaMJ-zVEW?cRf$t z3`Lol9Yy|=a^5T7OP30%3VIY}*sJe}|KIuYTL&v#tM^?JZfDQm{~*Ev_f!S402DW6 zi^>*6nzau!2veG&-*twkd8557ULOx~{t} z0KN{Kqr-|f-HQBmG7AHbj97u0pEH=BF?aI9vMt^*7ZZWceW-4mt~$l7rmqd8-%raY z-^3N3Z`4OA#u8^we2aa#+XjOOJo481NdPqUM5N!61#V(DxTS0;vg`T@vPZrp;#U5P zIAVieaal%=?8PO2yGM|!8b^ldQ2OhEx=@8kt*UwYOqpIF#bs_N^iIBQaLS2+IDCWX z;Xzi}-kABnC~;737(N@KYoWqf@_nIdiW*44y} z&DzeM1Wu@Rn}#G-rzD%>MN@B&kk1%o#cTE52^{q*xpt(oG6r|ihu`tk)4*;`H_QbO zf9?itb&KmLodyc3GCeEm`OUhPja44eeun5YPeE;EUDw(5)gO;(gM1KtXK;CR`kh`@ z!(Pb1hCijAzu>1>A@V-22;v>}3|RJ00G0YJOuN%IP37H{!|!b$w*L2SMBy}9y>TQr zSj$W6mQPHB(aEKU%nmobGw^kR zHQWzMyf8fK`}Wm@tqZa%%6pK8?0yzdWRDuMRrBTZVo_0k-sB6^fvW81`E|w^}NSW{&&?gINnd)5}fziut|Iyy8e6QMHX= zR0n#l*sbvUJ*G^(0o4z}-=Vp>mooP{qe{?l7 zt1c@8>o2GaZac{Avkr2fpDLwU)G`k{TJZd!wVn8WZfL-B_ttEnc_lBW^SgI<{Q>a- z?;eIt73$5~gGwU#M%>>^pN>6-*tq!7nOT0=A-ay+V8Z~oH!(vO@!H$UDwwLTiq|5I zJakKb=Cp;EIp(@x2_^IDz8VE@X^TC-B``!|nq^Tg1veOtZh+$*gv#5;tvnbUJxrDk zp&6#hPI9iDZ^wvrCY{#tTPvUU#u#*Won{SRY4qTa4(aN;yc{gYkJ=zS1V2ZolB z&RA8g;dk7z*R;2=)@o>m>BS6uwtTN?IJO`VagS#bwml7IZW`i}s#euPF7z9yHR;~S z*FOl2Q_>1>JoFXQ(;|Pkx3|eU!@q{v=BK^Y|2f*fujzXo&d7uyx&^IW;pyH$fiL!B zd&)Cc&5CaHs?C;8&}-Ue8Jmt)BM$7%SPy>hUZ9psQPZ9N#sNIMI;P;sX3apYqSL|w zGX2A-)>=NFi#%pxRayGLX?Njm)OTO1ho)!n3=xBCJhQGEqe^sei zQ2{}v!zK^i2*TSXUSOo|jNrHzA{wSitQa^4-MZ0iSxX~(`BpO9R(P|9v5qL`0z;gN zq-S!rKRUdc`(a3HSCt4qsehy*&T@&0unu5*uUYKo;>7Mn?<1ka4CaDQ4V4Bp^dpaU1DaMG4gM#xy=}+T7`nn?8*js1<6H)On=a7w#c}9%fo7A5N$XN z7|&7AAX3cwod^$`@e|;Tezsu5N6cM%Mw-!*=8nd5DGQ246_|?>8zL8KoH!xfqxy>; z(KCn!&o-r8yA9lIa#o-G7mI)6@-LUjH>X%V!+2_=%m_Q+h6Vu7{L$Q}dN zeyy+iC&3SRK0&hJTR*b>Nx_o1oe>a`5&3nCDXcr{*c;{mTCY9vNLJwI|4 zbtn#;%~A5UZH};9{YK(DGI9S=YSrhnhIA)*|;Y0i_h!2DsruA-Oj{J7x|cvZGI+AI6CF@ zv+p%5&#zNC3K}O~5g<2AtL>d{TT)#hDE|%te?(`Vn%~&zVfQx z)xQNENH2!?YX+GYA}?`n4_pWL`Z97|Ljeu#c4d=2;OQX>@Kl&1=Vq5eA*3=wS*VTY z3#nrK+@iO1BpECo4c9_yURx3q5liq2(uiFV8*8nxJfwxZVZBJ}{$Yk+J5y3eKrVcL z4J}sEjJ;-cQ|=J%ix*jkRg>Cr>KH?F`-TC?Z+637jwv>Pxh2N>c&|01~(AWfIMd0ZKGgo#v{Q*zeTF} zUGw+x5@68J;z7u7T>*QkPj52~3V? zypA~;qhc7t=GK|IRoe#FMP8k}prqxcY(Kj^v+i~gt z%Tyulx22br_k*Eqsa5$jWg`^1LQ#hAxTmo zA2^CtzbB&-j=x3o!lY1gpkzy2M9su?FwfU1H-inp)w7?QEzXiSkCA!(6;VFA-H=!i zbOcesi~+U_DA&0Cd8(NKnWr)+3Nm_(EZDF9W%OOMd8Mp&;2nim+ym_O>8`OV2)tOuBETW100(kXc=4th6dXz7u4$ACPusY2XabR*_da%?C z@$6VjK@`Rnxe&yt#|ai{DDjTO5~MJQ@lx3U8c*E1MIEcHpC}3AJ*6x(d6NH5TS2YQ z`S&MkUNawk#grU$#|1;l2XP}@g`)Vrp>|*AGc)f(e=u(fcQul;PTZw3MBd;$kR>R< z2p+N_BqcP^Uc;9&`Ba`xM`?I$AdDv@rzW5O5eQe_3`y6K~xE(PK8ds0b z?XBaoWv@XB6fOZS0$x>FLml%27!zuc0b2b^Fu2fF+e5NkM&c}}8q7yA;HZ10IBoai zbjOKDY^0mF^6w9etXfkN5L0Tvu=Q`qz4UJCN^rvM0rECA58D_f+lfmFLMC0=+ z@ezLJV^vJX*DT`d`2-jzqSUDmG1M9kP*93RHBtSVUme&6>Jbfpb12L=s147&K#J8b zjg;;&C3d3LwtU!TX%?3`)s3x1b}eO%ayeGW4Ga3-jlqxm7mf>9g{x}R@lcyFYTXSoG0K2 zi;ANhYeiv6&Z_nMe|f65UQ-D{Tf>qjHHz4pMfC4YH2~rxWGNiKvB_I1{HC#eIKz2= z(pE5lY4g}qc7eC{J74mv!;pFHU;9OMI@;^)OR{*?Z86%coL<^ouy$=7SNFlFT~^N6 z*P9WdBB}@)Z94I=J^dEa{i&~A&hg1yrYGgulGu?FCtOjS(YQXkXL(K+b+_tqX$(@` zrSMSdJHEIEYIsQf`lEhUWD6|fv^D&AnqIbMv~bJthSy3KXL+~!lEb@$Px6qe?S$k(!+cBkQtIgEH?JZ#6BjPr z7oSMiXs6S9)ws&XAFm7Qe>3HsCz-gPG&I|<*I7BQ`>?mS_j$?lh-ZJkxbz~s;I;+85Vgj7dcw#|J=K{{ zU-gtr2ukAuEfx2?(t9zMKd6vV?`wQZY3%aOit3Np7%n+V`}_BIBYijiJawuv#L@Bb z3kxzIx{o~Z=Zoy@cdq%C4RT8jXv*>@bo^iPlHT#~V=0nkr9cM4J;6VO9&jgMX2G+YQZJc&|nWi9S$*3A6l zD@@xTK4*j3(?Nms=wM?p0zc!+sj3xfAXvt@)(hxuxs*b83pf}{#h%9ID9yv zQR6XS?)WV2n3l3&;w(}xLwM-Q<=w5^_}|^MbPF%r{oMrq_FU?&tvk?tNELH0eaa{7 zU#!mI6ZEZUULs;4{Sq~9-(drbo3p=N2`G$9AxFkWt6g;WmF1&(G{id3jsId2q28_Pj*2 z>-&rDo`#Zg$?0RMDh$tvJ+FU)AM!I_dQ_>pb2sVMY5T>C|B8Pu7lg)&MAL5>yNb8&9%DV=ioarIjz&tfx6zH(T$ z3h)cQhjt%yAO6d}Ud29BIw5HG-}(4BE$~m;VsJ*6=I&e5u|lQOZpCj_{usV`70DLL z87~~o8=+Dym;76)D)td+QCnZj8WTQVX+ujgI|DMTGvor0MEv@#-K^sovVMvWni=BI7ZFajC>`DqS{{&0d zwf-Q_9qZ!qDr6tb zz1J4`$B|DDu70ZrMm?Q5c@_ox;h!Y)Z$8l1gALmDZpaD2MZ^=fQN!S+TOIfF@5&JF zNfw+Rk#U-TpigO@_+oP-O9UCnO0ro$po!=*?e}?m(li5>q0sMXwrw3ir8_HYTkVOr z(Dv)=y-1$;&bHC#YW7}*0BpJ zrnO=B;{5*RHK=G2h9~$ns`f#{=R&sjCG~UuC(mB8EE|lvWByZcaPWDy?rC)wm$JtE z`5r-UH@En1T=t6>mz#<&MMfIE`6J|81^e2EupSkjQ)4h;DY9W0ddkN3@;MPwWb;+W zPV@BRZvt0OCSH)rIk(Z9NHpstZRZ|&l*_OGg zBWQ_hnJFs80?=A3D=RO}SX!FaNmmi_h%Yt1?g-hBn+Y0^vWBCXwZC+9E4Q{Hj5Q+I zZybiN&-N%R$f+sOXY3y=SOr!~Z^$m#=RPmN$C_h|sp+nNGV`n!JzORS%O+LZ^b(B> zF*|2`cTCRDI7S!7wq5`BRoYraSNN zA(ZEDX;B}ow)Q7fHUYbCzYM*xSVsOk>&V*^jPvsrOw-dx!!L$7Zr%Q_k^8(L<-ifj z2U(wJ&E@IO_@43@^m$2{!nnX^Ulh}3+fMcU`6;J}^wTZV?~eJBK&qt14gd17vvb;~wn9=4ZPzw+V~>r` zPW%}wJfHp#3~)d)aO}sR6(4Pc>TrnmP4HcvpUMAM&Q*3r0c~v+0i{)#K^l?Hk=8SYXFg+Vdze&kxuFE?rx+~UFTU3*ZC2MI0G?5 zw%MoD@nZ>>iGxL2-23He1~4Zxla!vGo{62Eo|)&`*cg6}UlQGv7ey=1 z$Q-M!7|u#9Ab6uzq1@3OOjua5;c2pLxQ8waTvYjV5m!c^*YNMRI)!LFJ~ev!#mQ30 zbXMqG)e*K`Xrs@l?HC=O5Rg2Fn+wcEu-Pw=sc{CiS}9?#vtNwDCOlTnXyp|3HXIs~ zpC(;tbOy%8l5;sH0!!GeQC8JttXgI!_EU;>`e>s4*_Gb!(t?f^t9Z`NV1?uj|J~ig ztM&e3CKe89506H&YW`_dU7&q#W@e`EVa18F<#@XETo{w?1h#RNG!Z)=gsAl$c}g}1 z@^Wf~O_fqaDbHM*iN#aNvl5)NF}Mk1)2(<$xrpxCQ4}`Wa0j!!R1iO} zVhxFGh!i-j9-Yj!l;X?oiYgwxkv@aOe0xVOjY*#yZdgyn9}$?bIjdk&uS;o8oHWD) z_rDO|7oT=N;C|Gpl&+C7#gYivpF=VaPq47Q|99Qn*>)U0&r4oopUqWK^KgpS#o*dGQB zsvlN5S~HCq3i$6xUo$b><1onpVkn8H7avmgZ)XE;GvHGKd=&|CF0Uq~|I$^i#= zkdsLaIEhkQ!S8`CDS_TU!Ik8rvGHKwD{BfIjg78w8O7)c*qRh^B!gb=gEGf?YVJ;L z@u(qz)t25Jzb&H+^x4ITlP2a8h^;QQ$}g<>DP`9vHz4Wd0#S$8mfpk zL3t8~+OMsuD&J=zHD*3G7|#6NA_aS#63K=BJwY2p$!U65{Ak0$eHI-@K!J9E4By;p zlRNotS036p+h3niwRU&vmm4Dp^Jg@PciH#k5fV` zYLb=0|0WC!4t7>srrN4|NQ0?aSKF*y)wPkz_MSxtu?T7SMbRiya2goLcDKG>5qrlT z47iOCE@_kbN@9ZhVNJl6eMGjY%Oa7QuNT_CHJmi%-Z~1hE;+eNPVoYS1A|lvApWl` zE-TUip&`AN6=|pIhoETY{-)3qOdZG6MgXO5RMvG1#$5|=GuSz4u-^*$evy@p>rc2t z!KQt9ve$s-oW-1>wsv_~7|v2Vf_fD}O$csx)Yb_!K0r!q3-DutVznxrMh$w(?n7aR zEF!6wkkbJ33LbQ}AUlq=b-ro`pHd^!PL_T;6~6$XySgwLqum=U6FvSYMHy5mTwyl$ z{%&Eqc@E$f0O_&0YU(#ubZ6<6)Xgt#48>GB>clDq}@)VsJ+5Xzsv1C}&Md#F@d$)zz|PAT}u z!rDzh4o0&|@y&V{PdSuTI?a$p-8d(=(9msvbljT~#G|x{Y==#}GJ^4u<^*G^st81A zWYsvHuSB-BmP~QJtF@Y;s^jCZd0kvusIHcin;4K5xUMI9or>V`mHtPI`B3{y3yOI! z?fACD41aHm{U^*&cBi(Wv{+KZg`GY>Fn5vuIi|E)6_L-|-(5t15TvY084QEHcQJ2} zqPF;KZ2s#TO~n1t`Rb4hslQ$D?rc-o19bAdq_9xNMFXE@$oAxq$*ZxnCjTo*k2y-W zsAt+(T|mYdivFU!m)alPfDC$`Iq;OHd-?s>n%grmfj3932=G;ssg12%|DKJ0 zt0#F1AGJ^EvWT|sRcF5~w&nyfkYl*_bmI5P`I77#l!QY1>yTX}e4zPTIDl%apm2+G z$V}KB;dpCQO9FkP+yvy%mz0{*97%ocS2%-9wA)C@3S^{(SPOLl7`n~JJkR$*l|pd@^uUs96%4$K)&T0M?@`k>E!y?JzRTO` zx8q}AM|2rIEWIvm(_?wh>uHXFOt?Z>y4=M-f_;7$Pg3vYl!Z$nY zw5b8oXfZw)I&a7gcPc4*w_IdJ!TQPO3$Q0;&hvLR7c!|Lv3@E1M+E_C>*3s< zsdiRpCAi^YK+@rH-aVs$unp@-xHxCx;umd|i0Ve5RaOJ$rp$s#UoIx{xIOq>UZ$st zIDk{mCyATALPoG_)Z^*pv2f7s9joS){-IV0+1|8Dy&FE-6uLKc4fF> zu%5cAPM}^rwej(T+1xyPpVa=fW8G>1{h2y5p`brWI5&v@gl2TJ6AAiF_)0Y;#_K_r zcygmC>^$2lz=n+RtKb{2*GZQ}<7Bt&=zI(AWUv)qA#Q(P3ct66rwvCG96=@w8K-4A zXY1O|$ewc#1KbwAK+WS;Ke$@mI4KXcH$iT`U@tYf0Jli!zoY}A1^Oq;&fD2;m%DO$ zJk{Ey3HrUefZA_1)U8!NU0#ZN@%(F{W|Q$UmK*R6Ll4@}f!@UfhF%rUy>&}IO`wjA zbD~5ai%ObfUKq8$wK1RVCXDQjCrujGU|HSvh70!9)@ryvlsu7R98-B94?JdSTO1AR z?23`9>eUZmAMNXEL?OB1fQyey@=siJH)4n zRx~%KpZ-^+CRR+JW76n(kEOrdGTEf447-~h+g-MO4QqK!Bp&blFwl?|4=&G(^r*_s zajX zL-OOVhx=tjf5gAytP850r4kCD9Z_6opi?t`T7J^F^4}d;=IlA=-<`VnIQEq`)N>u{ zS;vDlOo}C!&<)zH?s$F~wn192T+-K$FLJQFHsT1qitlWPq!{0)jqrpWiq!9($_Fw8 z4{5*$BnTsmi_5<|zc9?vprNP7pLt`k(G9Mbh*Q3W9PAoDcc-RZ6bars+-!f{JMBN5_+?wXh4bz^!TNk|VZuVuM%g>zh7(xYz_Wyt$mUpX_TA z5;axV#yXZfCXpWmiE?B;I)6bp*x39)kN|SF($=;0=4Z{9ed-+?xgTokP*Nv*0Vi#1 zJ-+<*?#_zr3x(vvVZIsAgw3niaO6Jq=Ws9O2=aBDVbBq&pc!DH_8|CYMvde+6$a57 zwO>n%i2OT&idF=CC7`ZRGmuQJtf&dgBgw(!zOS{S65sdQT^ae?J(6N8I5wW^hu)28 z)cw1Xs0CkVV0l(eOT>4Xm4m`;l;t9KAe@&#^xDki)@0JY$PYj)s8h2`xQMg(BX^d` zl8l>QJMyA?H|uB@mB5<}o5Ib2|H7}fbccZF|6s_AxZert>J@am; zHA7~W;X=H!qBgtDo5(!zt#%>~|n>la#Ty?yS5P7Mg(hlKf3 zA&s{P&nm@8!F|{>n=r2VA#&QM#a2(@fWT{M-S!yDVqAhC)UWfkrUoe7cMPOjz8dfO z+B2ct#NGE{C$b8EzpkqbMkaQXNg{S%K!u;JHwH;U*M69BRRZ!_SI`r1x#>CVVaZ7dg+}dtZyjTdG{oirH z!>CI}MM2*2!hHm8oei;L=SYO7w^*HnaKvK0x0+<`;Ai;C`(vtQ3oE4@Z8by9a9P5k zm^4>hR={yz$uS@n5t|WtsoLanC_sj|uMll=d;5Zuuq}mwWNRyL@7UI6cv|*@f*{sU zA3b$hxSpX-;G!Ef9d!TIX)XO8^lP|N8>uqNY2*`UmAbM*#;XvL^^_R+&9ks!YZJu> z4OKngJz#>F!NQV}qM*;;Z)U>Vrx9nQqDdxR(B1ahAY59umPSL#Gv3c~PMBo|-T{KYX=&(07HdIG*IP7p7rknlXr}gteMvzBzK{?w+W-Tj9+ryTk`EpB_}W+`Bp#s3 zJY`;Vk6-k`Gm~Eus1DJG!pX0s(A?|{&URjR6-2=VX0#oQSaGG20}syz0T`g5ub*)U>{_02{ zx5K{p4y1O6YN%htCs@=%!4tIQ^V2M`LeKj#=p2l$|JnEUgutauq>qI{8`On0rSiOFZE zXck*#1>fG6l5tYqx|Mc=F{1U^Sq5j*!R+1hsf!_oF3(qWIC^$Fy-C6ENVmK1C#!!y zzuStYoZJXMLJD?M^+!#5ZZq#h!JfvOwtIK`WX-unXx1~NzR}W9ErSk3USmZHqnY}J zka$|hD%#5DoefTgHJWFg1*#9EU=C9Cd^VqqRo&ctgRZk37;V~6mWvT@?}M((WXQqy zpyP`M2u_0vM=H*CmCm{6-ae##O<>f1v%$bWxd<3fIJ0q+AVDE|MJJL*XCgY2VK+$_ z$My`=6~S3>-a-9Pj2V=y`0?8piZY{S(=R^_#r?xpUVmx(6&*-Lw*Sb}VVqO8Dl28~ zO(;$xdRq&ilT~`$G(ncZdkt7UcX@}<^KI&NIsJ6{HdHKT{{^`J8Q{1q0I-q-jnb23WC+ZzNR7MS~r> z?CBGtk-}x{Ln3xt0@SS|4InrS&XFGWwwf$qEn&<5C1J)-B?^;2w#25X-if4AIwzYG z1&$GPUbM;0Whv}1QKWi6EM>P8Ly{Nd<;$4Y+6pp1_P?>jmmg-0O?M&i_8msKw4Wn#Njb7fCRU3@)Iv3f(FFEwGH0AZ>-#JIM6X+3Byk$3$Iai)Y#w*>^=Ne$tLSLR zZ)*DE;Iz#`S33Jfn?ZdrtOZw!0DyhFcsSoZ*LNyehoztt^ij4SV>Qs6XFHE)d&{PU zm)r}n%U8G?iDb#dPjgPP@~2kI+0>Cb$~6v)TK29d=t5DC zE?l-c6M3nrT!Wuut78G(=5L?*gC2vqO-wLNg+wruxN89Lf4I$;mqh z_+;4@QH=vHsZlK@UbXKV5Wf{YblF{@?sKT2|8|O6bcR2R#v6Xz4E5F~?onr zLAcVU>@ocA{4D{MQb&p4*zSBk-k}gIvd;cyWAOp7my>BZej@vMz;&NR!%qY4$6qCQ zv_gkL2}MET8Hj-T(dM$Q>GOkpVL?pB;mff|gQW=W3b-FHbaXKB=)?&KSFe z40OB{s5lm&0uO1WU=}Slyx{N!MBOag;;-}XUhI1ALs;O0m+q2zbv+ZaOFJY51#CaH z`v=+cd><=>lTCa!9pcc~Zieql@QH(Pj$9*zLdJH8B(`$QL$s=f+~EhC#O-4Iz(alX zrW^KbFT4-*an-6&{jk+_ixw~v?l~Ls78#uuP^x!H^Us5}m+Jm= zhG6>1ob$-qO^q@Ra)n@;DdtYU-THWal(#J|-KB`Byf@*qTZOwg57v3D#MyZJPbBz- zK|5Jk;;3hi?5xSjsdhxf6fTR=`b04rJDlZ|_e#zbM5|9RYs*%I^AJqlpP~lKXNsf~ z9YGidZlW4b9F4-n;3Jb&=F~M=PW!*zp0i&{#(sCFil!!JHK@^7t;S`~Sg-uG-9J0M z#<)r~B!cH+1By7Oy?1|87_`y3nIB!@_D@{lhfOeNic9}$+ioNQrEI3gzVFpyk|?NS zghG{kLq${3S@d4i!MoZU|Ep>a9rzz~{lOIce)UN&;uJ2nqpc-3h#Dn#d(~_LY`eE$ z6LRB{Tm-CUsyEXjxmI3Q?xQ!44*Qw%U3{BTv=TZWE?oO_olZph?f-Zqd>8qtX&G#& zu?Uf2uIxc7P~Oyy2bv+u=E=L6$nDx6pOnO+?)>pTk<_>mCw*O_7>i@Q`<4-x4~IXY3FLDJGH8SD0=y(}0O=dedZ zU7Uq9QZ>jv_%Z9<0NhS22)8`E2rH3agPQQzdL%RsKeb zb_17%@HIUKv?y;T8!q~G6c;CjM)CGd>o#t9b;sl56v;L6xXQ-06(S8eii?X&`l5sr zcHSAPS3~Iwia5GTg=Z_BegnQ83qDs&IsX`L;ctBpk+UUZt#J^=>HUkbgV#Y8jW}{AKTpDy5vs)wK>=Q<^{i*>`Vkw zlUK36={(%d9D1rJ$Tr>i#yoAoG3(<;&smk_=!~7siOToxHyk}RI%P;uKjs*f;aro0 zFm$P1{&<4VB7*T*5Ow>l^z?o~Pf(oAks%ZZH_iEb1$>{jp&6^&H42;J5WcqYhfrA0 zt+vwjRO-XO#zeLU@?DfgL-chNZ=HI2ZjrU`m#B?XwLAAvyAM1R>K1~gKU*2?Qd=v( zX}te6{wK5MXN*iqe3P%ktDWbcS4WJ6y$~&fL33i)IR>z;jP`n;b|05@KXWAa;!BRP zhl=`(pQy8d=vfiFm6|t%R3h1O$rtOzCN(i%>PGInch=UMh+LhYtr?R`$s&YqI#=C5b@ubJxC-)@Q+|?q5p5-C z{1#0#XW*U*wweUyz6LoiSkeCXYj6~O@|RfAhx02cKKt;%)@nM7g*lU`QdYlbiR(Qm zh4@4@NFLvedv!1nP5+*=e?QL(cRR_|Mh(-btC#GvXh|+r%5|6kyA*Uq>dO>a*cnGf zy|aIu|D%Q*us8Mzn^7H>2hbtACE_5a56ORd(R?j=Ytn+b_|AZw!RTHl3mLD7a& zW_{}~wi#I<95wJuWxO8$KXF)&o&BASj=T7Pn}mkxYWnjq;F$^cA_jr0q2o8l;Noyb z5s{@>$GaD&XVjBjMe#7+jG?vWSv*0X!M+ZjlMQ)xD(1f&+`SangC zJX(t#)4#FBoq_L|FNmqYta;K27EhBWw13ZOwGA+OC?)o{S+a<_AWVco0PmK zGX|U$OJk$Soktz5@HTGCuayvKrh@~!^*>UTtG)Qu77MZVO@+tYBg4(vc3S0e{JS1b zBjk1q&Mp@~I|Xd?o1}h-)$VGbjQnzApMB;*Q3NdGwER5YS)0d!{lEgdbCBctC0`p$ zPzAitej#|+!|mhm3{9Sw=wP+8+MZl+-YeH=Vlr(LU%b6U}geGowW9%5D zf1++Vr+Vj>C-UKm7rM7NlJ~;(#%qOZt$F9#R2ilk!D+>^H_RWj@A+B9pzku@`(+SVkCd|w$#!Nwq{1{bFxM5m_8$@+kWyW zvGup#nJ+0P^0pngu$^2-s~WyD9v17q!2@fR0C@@R6K9{YK8Q0ra2naIR=zbiSN_y0 z@%re^SY&OBZgb8a`@-_-I(4Zq)7M{!gn|Or9{=n`?RIm@77UE_kIuDeahxr8fb|Zv z923XpoxB&=$gHe*mDrrzEM*Fon9c*jr;rn#mhLP+!(u{nk5{vKwrnd0qk1c_wO=(Q zekB|VKQv$-|N8TKfn-eS$Smix7{lu=`O8XF`GE?^x$UoJ8YakFQ1VkG=%z67)XZfv zd8cA_?+?M+O~jemeeZutUWONbH2<~8#~Jr?aiafPR_wrb^8Wz*Xn0=F>%aLgK%6K* z=3R>I|2pxT_+;j+_&-j>iO53j%3l62MuIMOl=puR61RH)|MN1KC;y%f&DF^eR5^m5 PJT5tDC8;tAW553c3?bCd literal 0 HcmV?d00001 diff --git a/docs/source/tutorials/images/REcurrencePlot_v2.png b/docs/source/tutorials/images/REcurrencePlot_v2.png new file mode 100644 index 0000000000000000000000000000000000000000..d14182271e6b2a03ed2978d44fc2554137203e96 GIT binary patch literal 129654 zcma%jcR1DY`?nR6m1K`&gd`*@dnd`x-h>dcvyLr0BxI8$D`aImI3y%1+1c59^W47Q z>-Rj@^T%^tk3W)i&iTAQ@ArMb)_ua&R2~u$&=6o?U=Tf0l+(b#z>>wlz+}hAg74fK z{z(s?uw7&xY2oAJkIkq~!yiWSby{ad}pTeIj2!-1<3f&vE%zd=~L_N3T zNz^^_Xf|34%A0Swe|b|=1(;LoF^c~@UzBX;`=fH&LQd@Mmmn?9ZP;+saXU3Va;u6zc2OHE0qeqDkP_{AQc8IU=H4 zQCCxYKCZ4f+P#SDvcwINMv%(M$-Qnj=Swlv(a}*?pIKW=&&XI`TzrTi{W8<~-vv3< zHZ9Zj^74A0nmX@X3y)3^a{c;sX=!N(2Z!9d+DPO@rQOK4Z{Koqb2T+JUx_gYx?Zj( z7j>w~4X=jAy1Kf&yu6Bv8-a*8MREoP1}dt~87C*<@nFZ7!gP1<-qk5J4nf!)?=F*t z2P@>7u^gH9Pfa1`zb95z363BYS>uzEbd;5&C>Bm2)Ia%g123kIUJuyR%mHy z!$Lz5_^q>B>+9=radFCQH)xTBNGj8)SV=^h%Hrnc7iBiP=g+C>=sxt@n3oB=*?ul9 zT^N@4+^OZS9wft6Z#I{q^hDsw!K48o^Y03Wf{;i_p?o zk`S5N(jkgKA0HnI9^>)hVQn?FpOcdkzQ?<-U*mIj*!z&0QR7J43wjS1>8*^EvXkNq zrrzb@*(k1_q+wvt<{(d~@0CI#{fv!ub$@q6({6d57HH;kn>3CO{-&a*7cUw*J~@#* z7aisdk&s{$m@6v2mO{YhxG1wZw|}=z#7cIX zkMGyiRMY3r|F-A5-Q3*t^z>x1NgoSNB9%iCuUky1sOVVZ9#JIJHZ@Jz3l1#121xOC ztxRtn`uk&q%aKu0+3=;*H#9uwry&jtGW%`G7pKT7#H~|0;_c~Ge((N&SB8Z*wFh2E zW#v=0gp?jD6O*an;I=n!Og%gf3{u`j&A$44JfCOohF6NE>SA?gt$h4{U;e}3*4hAQ*g`!_f^_{jJnE7^;~ZWAsm zmq(8t!GUpcak13W3f8i%9>vAOd;IvZx0e?eMPyRaNW{%M3q7e1nd3-tmjC_h?RxNY zcvvA@?UNQK1ClaF5ra+2TksK%qKCiG{& zk|oiZVqIg6XKsE?QlvOxsOSQlW?uU;T~n$IaqswKfgI(X7;Ch_B53TlRmnp&C^M_wJu(a1`;+~4MAe~p5)`mul@1dg;aTY^#^ z4K+3OFWVu`n_(!kic$EY!m6ir#wm%%WU|hqG%W0)l2XKwZE;~?PhVdq-!mmeMSLfJ z1)hQu3sb}EI9CY?zmBanG&JB~Npp~6-48;%?xqPSopury5fQ<`!mN4qhAlcK#$6;` zTwEMCh>4A@W5%g--Z=~fM>znY`0Uv;P0az=QOmC1j7xdAxm8qEt;=+I33cGSlas%e z%Neb(uKOm3Mh$VW>+v-V47z8WPESvzs9W2)<zBf53c0oJYk$tqPIh*7;Qpgfs14l( zIZ`=C-X&KN4+h8K)ln!-ceuF5E38!=9M)a>#H;N`%jdh3Gz+xI-T4T5DPp{=E>9F!u@?0VB4`1$#FF1TXi2{N_xHTc zdecR7b8?J*_nuOPI*!-GB_$oK*KKeneutOkQacVMdUMms6l0xHC4a!}HjXqgqePJ! zhjy{P0P_5Fi@oV|yW3OD4;4ye$bB$apa~^LqhNP$#Dp>PO0Da%hP-?`d{?Jfe{Uv? zk?q#4o>U>nR_{i?Gq0B~?)BQA9XZ2jXxvR^PkMY&q^-WC`hP?J$ z&*n!0F6LnORO&xsjkkOIU8$R(E#FSLZ<&HNBC=w8f~ZDrT*W)f5SekOFz(64n@!EalK1Q zqKs4A-P_CSx4C)qCbWv>^>t{n``g>!aud|`)L*XtF1vY0`^S5MNR@mz%fFUg(^c{{ z3QA0x7@%iTQZ716>vB;X8j{PKQH7dO)m!q@JmaIbp~FE#mt!S+R663}?%vVSk;7rj zOEu^G%HEzUFpGr+Wn^UZa%+nt&_>{WV`F3TZ{370EnQtWZuu(d|6E0$awc|J&NG5M1k#u+{k#vXUUwLp8wY43l8pUtl ze!lg$9To?603ES4{OCaJk9(aFTY|h|o-n?Q`q$#h%DhUqnbr_F=6;9jjq%!wtgPu2 z>x>j3qy!=AWPj~OxSY#k@0E?S{V~V7Z{IS!*B=mv(k37$=SbJOCySu{%%Z8cJ2RH#$Be{g`F-IA4+y>jIW{60JdlrD?) zs-mLR&NvpHrc-BVf2A7H#`T`}lJ7SE=!UJp$jFuuj+%iAU#wjScPK=L8hVnQU1UTA z*7XXdyyNw@Eode`ekfB!CZ?u(pB?Yrdi)MnX=dy2`h=p9uaTioniPVAi>r-mlyTIb zh?v;j)%9y-<=(-;{gfYHzI=H;@bT#QcrxP7l9MneC+DG$pQ-6I)jKrO;%+Dcw(+gU z88|;W03Ch(%3q)ragUarF`%Jv}Q~msRDv#6$sp{x@Bg46#Bf_PkK8caCs_ zW`37h7!u=2_g|yr1_)JCBOKWtpPFhXm}=s8^b9M&2_QAOd_sIY8)3R0m$r}3>7fO8 zQtF#G(<1I?ndsSo_G@8iZ+sjEEKD5f=17mc-qW+okCsfpi}2Cxhh}GOV{aR<;in4K z)X@0#>(^^JW}^t72aQR$hr^&)gUIp*s) z(psE*Jwj7yyj@I5-FNQXnR>OD{`03AZ)fgvQT^iKzP`SR3Hn$x$%-o_x1sJ=8+99- zB~RI>dV05$x-*gI&{)qlntipdT$AqyNXnMbWy*WmyOorfnVB*2K9!eiSAe9hEyM5L!R?!wF=L3Oq@aK!EtnA~JVRo}mx7Ojl_*o& zqiR~IuTFj|p=*|rkSdg(7%xuotA6p`-X2sx^Rhz*GGVWVbHHVZiHT6~Q&LiNY4_-R zsFtD{z4ks!AuxJNQ8PbnD{+I&zQ4T<1ujF#anh3e8D9#)HG;;`CZvtcYh|{I(N)-) zT!uBIVW_7%I*W62u5NDqHvAHq7lWFrPckLar4Y$I3z3vO3?i;J&?q$XReV2%8Wn3V z&d>K`N@jM?|FIXWHH<;eh}GA7&i=Zpl7F9vCl)<>baeE}+j~j^ZJ?$Gbq+yJfR?Pl z#>R$P48Win1*p!tF9U!_=I^MdIv!o~71n)#&YRNZZ=R(biShFKBVLDv;f2dN3)4ZN zn4Fw+6`{wmCd8Fxj*B{I_NTr<5Q13Z;p7zY+?@VXX?Nqs4dlE?ibAp9PLB}WJT>yO zrQBF!pDlU&(QgL7?W-CaC4S;q@udK|a8{EtVT>#*ejaC39_4h*>b zcx+qwt-PF%gQIh5Dzn}E9#vG`djsMy>`*hZ@HVRo>GCaGzw&cNTrYg*j$QnS884N~V$b78Pw1(rnrFA*e$jDL z7Ks8$xOeZKe(^hHHW%TvDYqhfkKcQ^L85(U89E;1@<6TdhW@ojQYLg+ruJ0%p14=) zH@L0f@&EZ9M@>V0bbk0UQK|CP&cc}Fbq*YQaj&n%#cKfH-~ZgBqoTst9w)_to-sc^ ze^>7tKR;L0W@eI`FddxqTj?q$P|n~n$JS_~abqu!beoB{n_Kh)MGqEy*x<9v%haT# zQmkYrCzrqhnlTjBmJvE};VU6mgi4a~^YYGQay$;6bpdT$Sy>^%#g53St*u3#?{&_f8pQM1lvMUklUcD zzP6y?Q;i~bl4`2pU1sLMKq!Ms?ja#z$f_5q?e^|xcmNH<5=m@YRR{*7E%SZMG*h+(87mw(|d z8X|*9*E>0BoZ3S{Miz*8eY)_34kw_)DMfi7MI!kl`CgDRTWZfjpTx=P-}Xp$)r=4Q zp9E8jKYkOrcl+x2)rg!_K?g1#9!bB`n#i1GC9O1Z@5zAymV5WEizQBF3cuW*>$+=D zh4FCad*U4}PS}w*zZ{kr)@tbJRGXo2)o4!^QXK=~0}J~lsg{NYaC(4BE&oiOK6Tq) z9W6Gf=1Wnon`nI2{VpOR0?pvP3bdETM6pg4Dk~i^5Pm1&v>q!KvT)Na^#UzlZ0zio z7FQ8p8yg!_Q@GFl%dR-mG&D3o7p2^H$7@~a>FHG^j#vYvmNqt!8x03kgdM;jx-82T za^dgK&(DD&OTPhNOCov7%f!?&HN`lW@RH;`rTa#bEYs5I(GK(l=D5y@i3Y$AWwpyB zqhwncW`e1Ja8=WU%b(x5v$uR@;`?WQT21@p2`JS}00`pZdF)Y8(rluw}j@|wJ z#zm{}DS78Ud%^0es#e~poKMa z(DvUyZliBF-|s2qIWP9oJJ-^k7HAa2Fo?fTPp7A#2u01PWJ)wRPDzNQ6Gs^W%MD}n z1D;Nlv5pEOft?9EL!E;>L}qKG>AdpmSMoOwTom1~95=|wSjn!&DHZ`-Eh;jsc9?iC zV8>8H9fbH)T>Qe+6vM~W&aP0Y7#9tjvL`xPyYMEL9x#dNf{mpmVfR&CBvLXW2bv*t zS42V=td4yD4R#f%xFOdl32?BAwd=eO*8l!BcM6H=?VYIeK)1Ek13-sep^$rzojt## z%DpvlZZf^qyCmUu;&0PAVNS`~CYjUI%wMPVR2+;t+7LB@}%82q)}amnC%coy9&)j<YtDI(@oyKmdpyEM7(}m3BB{Ot)@@^exUh)j)rPW&4d8Xg- z^SysVbi|8?2UAGo>0u1LD6FPRn()jyf~M*MLyArjubU&rKl zO;Q!H;v@`L2fZ86c<`h8KY#R#wP|nO6nM3li+3%5U=+Tgrsj`O)YqqZXYb?5MIDi& zkXu$#qQXVt{p!{7-tnJ5f8ZD~#Nwg8^f=@X*qAcey?9YvTAC^9Q3BH78|^zu-SPne zSOLw;u2tQZl>!1#q3A2>qtBc-*f{FtrCz4iN!CM09jRkC3xS`qQUR)z#IT<_)(l zUTvaKz&fCo<_hQ=S#AGFxzDbW<~g6J5gHI@xp8UV_wNz$N@3PLB0h&s z1_lOCp7caf-)C5u)Rhv0tGL1kYKyIS;_(;o+I=yOr?i6Ng&Fmr;9GvgHgULd^<*iA?rp$$E++D^^bjbP+&( z!^6Y9$@j2d%b8Nl#}Xlqq_fqeaQkMQpg{wlC&dPa3Th&`{GL}(yH%>FBX?NOb9;L+ zuiYi6=#&hx*1S|I8Dil%OMzFed5UEimxh@ouPlU~yfPO5T{pDs3St|GIKZ;DgGWPP z({t&5!T7Qx?HLCLlboD?p&yPlP4q%*$Tj$3eFJrc{tMuyAt50*-rqx=w5k5qa zfs|0tbo2sC9iN7dj_c0dn;;T~Tkh(EGF3Rlna~9cDoSBCXnT3%B|Y$GAo?N^Ie;hu ziz-xf_4L3t*nqZ+us$QD;gxrET+e$9C2OME(Zt22LXOj@!K&w*+lp0R#@fb)q!~l0 zYC+NG&%?{E2ef*!q=`zm;uNP@R^98gbMK`pm-y3C)q-3eA5W&{R%87b5a$o8o#cq5 zAzS*p7x%nmJYa(h3erR?ELrz-0hStAE~3B*@<^=Ji`(?bvSUy2?XbuFgC$n$z# zuKnFz{uE_6bIWBGXa*237-IALZH&E^^Ni};M>m|~F!OjY>L%8Y2OO$1#eF{(7OqU? zw`|@itp_4g?ldD~TCI}#U{OS`So;zTfshaVN%~D%T3X^AXwb#}D;5c4 zHvswfQtX{Z($=5$NBZj*ufvtPd5{M}oBL{Z<|W3!NI{{HtpQ>=bOV6U&4mwR7<#(8 zFn!%f{#mW}=iUZz?dbSWeHYD$6m$DW4hSY1SH2&5jg;OiMVfB7CooUd_%T1G~M z0BUn^yhhJH365__(QzaXbanL3Dib~d5mAU47607{?6*pJ zN_k`iA+xkH02^?hett7Oy=6=8AeJ#O0$rz0-cF9!J; z;5x04L)(lKZcuhv*;WXp@wB(+?-y0@4BSa4Q0&KFR@G?e;skW5TYc{4|9iXeJ#(M1S9}2 zyx^s}q)42JUS}QAEDvMEj+b)(PMgvZ>lhf+frtnYFjysDn)EHG7|@I^5g~NHC~9DD zPyo00_hVEQ;d+gP9HCM)9$lPU|M~h{j`?L)(?#aR>Eh?7g}~5>V=qy!cA@Xt-Uu*e zziW3s%VbY)c>+{uo#CEe$l-VoYC8Zq+r7n1Bm*n)tJVGxewyOi+E>tIvzeH{Pk}Eh za%Vxl0HUi=Kpv6>J?77Q8YpG3Dj1r42hhCri{TZEJI}qYuCBJ5FCVoB46Dqx(_Px= zcUmToTpk zmz}I>>B}ARi1UB|3?wosMNVBSTTM7!#lypcEF47d@V2@dO!#uPBl_PzTSmsrs9jeR zNy#F{t)_635|xGcE=J#|9F8ai2-pXi=xI7BCl8TyUteEn8?p$D=bu0xkfIMZ(=E{Y zW%G5cI}FR*^2Lj_!RG@AasetrN*-fnRn>#-ZNQ&8+(sYoEy4BUU}fj#=6?C))Snv* z2qHT(vImyrt7MSiBHVrx6B8Wi661zH&=Y4m8pi4_jPT@HGVMaBcU7F3YF)_H0uTPU=zJhlJ z^kkEXC`@|my)4dK0wJh*Z7nU>hw#@wfBpnLv9(o(Ci)%R%-JnayGo7fK*R)$L@ZNc zHt||IpAsKOi}UH|h{tUqAr1}>rh8={za3+`D@;Y+Ds;3l+@3QBHU+&^^5S&IbPp=E z-$IJ@=g*%ntCp(d+1vfpzPU;4U0hjkGkuMWR8>iEr2ityK>s1x%v9^}aB_Mhg>b4J zKT)2?Hq#ahkUD(zpyuT)F5#s^ko(BLDWS``*2l(@RZ!%;G8>B5P*?YLj?Hisb=FK#ZEZ^5 zBA^Q<4w0WzJf!#zd!LLOeMW7oEO`u_&{wKIeNrsewzjs8jioWNQf7|xKhwI7(>{}R zb%ppz&t2_Q0TI6KCLW1J=i#e3fh&{1((LT+EaAf0f*Q}n#H7qNU|t5qge+VRBu9b} zEK64ONQdE0abx2ofJihtOp*2cn1-=kJ_KZaGcz;ru()sknx3AXo12S?iGdalP3~%n zSkprUe$L1Wpw!gVR1k?3Sv3?DI}=nTu9E9J?$CqIaNCkEU8PC&F)oTX5OG0SH0^Y` zQD&EOkE7{`(R=0PV@{MvCUD?t4i8U`Qlx435+W(9D=TkOP*izz{>oQP3V!^>k|p%& zlea^*ZX)T*6xTfJwAf>m@`k6lz5gc*5V*-LES#*&CTdnw^i_*9ar?*zCsZ}#__iD! z-HjVTIW{gXJ2R-T7lLDT8;znLtwE8yZ`~&}IHK@Sp{LK!^3+!J{euU5e9niPW&ufy zt*ci+(IqS(v&X`qX}1>~gH8wA4tNL^8QEW|L~pziu~*w4M(siRVhE6O5=n>is+1SA z7meeGjNKX+e75{h=?@f^P_|;U~SFd9@D@_+==H@1jMNdf>2~w~B?I|gNUkX0-gj@V&H?}kYbDfzu ztj@PPsoh+fG*~8EtT`o^Ht8BTD!Fcsjzg(|h|cM01R)9}L$DSA+8_{F_4Q&0<_^9_ zz6uJs9rkTt{(=6_ov74MUypHbE?Q_3pMbz?Hd@HP6dU!WzCv?}Q7TWvl*+-*4*O%b zLpAbX!UF^>2?+_}FbiOvpu%SQRuKhe?eFg+{mK^M0bYlPgI<&>_#(c09&{e5ikgCg z+sw>ZVhDnezd^+tngxSN!^I#k*jE0r;m5_r4IDi=JD6g@FSj4%LtMNBzaQ8V5;}ku zr<-p62|A1sOdcT?mLMqvDA6Pmhs^^6_r=6O7JvKhUE{_1Np}(tp7Y_u7`m;^&E)&m z#3{-OOrNSgE`WQ6JQCew!1$H$?tkBH~wIOjTy% z3;DaguEI(NqMCN@*8cuSjRLrv@R%w0EO4n#9h=VFp=NZ?$18qtPg!MTyl@1EvZ+Zj zLMf9zc4hUOX!l@uvk3Cv+8mpC8xhhO@H&jc^){0YJbko zutH}5%mW+%9XU~HerD!61H*Y|pgkkcMxD_adjf^p?tWEu)yEGXYQ9Ii*MazgkFOF$ zO+CE<)nlo;XBcb!Z~8#%-kxa!YD|m9f9x?U*#>7Zrr5JDO+gB|x8gdR8`YydFFz6(=+HOc`*L?l@R*pGb zj+u^lq`zNXSNHJyol^g>ulf1;;N;B4NKwIK{ zD#FwrzxDA^>ibqswT7Tb9Bt31+_x?tU4=UXr9UgRNTa~n*_nb%mz0bQf(SrGx8x%! z!rRRYhrEuqp8*zB4Ulr=^*KLU^zk^zdz=IqkzUjth+ zJGDoUSNQk%;NY)c=KM5Qu%s<5EukU@Z>v*8<^fCR2<{tkm@brabG(La}5^9S@a3|H6I=z$Y=Bm>O+B%sge=;+}w zdDwh?i91j{@ZnUxeleKmVhoNxt)xF1woJY|RAXDQ5M;x_jC~_FUQv%9I@T99<(F>% z^}?@E!iKaY@$Fl%HF2+8>6+gLEwsd-T7`prvi?;?O^qk0j!-bP3kBHOt-)b1tw=?l zt(Xvmn1f4Ts*@BE@jaXA?oSKX9$BX-gd&(C01;SX#r~27%aOLZu>~Sj@^73TfizZG zU0rI@G}(UB$@fZ7i_^l76fnSk|JKC{$Wr5Q-Hx7iiXIvXT0Vmc3@U;FpgM;)BN|FBI)nq z;{#DMKrh;6Yr&^N@unpuEv~G9jsO7=$P=ZhSZixjWcKy-^sFr{>DGIeB~^R0N7Me3 ze)?}vE2FLsbV&{l(#Uqx$G-vXoSyn*t3fK_sse^IDOKoI94v;|jg^%b^F9qjF`t*=A)2clEAZ(jwYaItS-c^6O-w9XtG02rpGSs=UyyVzS= ze#p*ddhp;#Wz^fw&Fv{;118WAo7>7oizI-11qRuxcY8jMXq`ynT1jZ*}VNK^9$aad$@G*EMh zXvosMaJD7roAAwQYAPz?Vr9kAT6zfk8V`>NA8Y*0)*W_IE(m!D)2$1AE$rSH@rUgW z4i0D#`2%p+g}wLf0rWp27LQiw{-M}3`yB8Y^q;=PDYhqJGCwyrc@f&R+rbteKT07w zdwbd96|3)Aa76su^CAn!3C3VckXu_{W{OkHz`{Hf24%LWh#H4EKoJoosKtTPqQXub z%RaqTZL1lCu&F1)URqhvu<%)FzbT6+1gf**!s!+OGVgrJ=d>!hykQXneCk??aD!*KS@}RkaT37dV^ z0LLQdym_!A`!+M_pq!*o{dC#7Ky9d-2LIJ#lvYz!TxvB3BoQZuRQ8QrM zKIebmW99PvAPP4`<|-+HQ5{~5mopWif}#yaWP9t(78eCXPzZSoUx|4Lrpo3IIC+W% zwcua8y5OYbKD^UI3TZu*!ZE)Xhr$wK2G|rP)}B?fqHXhw5BYTU%^cOBOl< zwIN9gQ3NGrV&V+Em?@u~9smupGBQ83yTQ2ox3U7!kDJug4~|2x;}m@UY-?i!Y;<{f zdG>4?FEFgLYiMN;q!qaCaX^$1dQ)Wm6&P~u65c`7LQY;@{I{U^o2LV|mAUO#AmYQB z2(B;S3huhZWa8(1zXDQN_gZf-tLz_wDM*gahpLCQhCeW+SC zX5Zf4KJ@e{_t0q_7NX`Gzb<>GTKOOQ=^GHcxuGg{&vCt;IAs-3DV%ze{MUrIsXdo$ z4dhcsj&KY-2dO-fmw($}J+?f3pm*z-oZo1B3UP}mp9;s8z$;pul?@GN4F{8`87B}n zXIvR1{lp|C8Q(%+;v1xJSV-|98>oyRCAfA?S`m|b5=zv+!Q1Lm&1nx@)bKg)+*w&) zcQ5XRw374fK|&&;7gLQ!9OM!^KkgIa&cf4zsUM@Ai%DIYvAz!RvkxCXh6V=%oa5PF zec-W9$6-z#-2vStDEiVt(SL#0H~}a9EBIN&VVXupXOb5?l51;g+^Po`GNjD?AdkeN zM}~$jHc=#CFz|xJ;XI8cL+UCZX~O;AI1)%pVWD67X@(p;R?q$wf^!0yNGbNCtuW;1 znqbA~SLB5s2$N;H_GP2)Ym?FF**vnViAs0x+`-XXsGSx`5cTh#0v&ag&je z(b6IZz*ky`cclp=;@o~+b@hAv{5Xw`hTIq6xW<+U?JGeEPxjY{-C$(X?*v ztVDnr+w}AlRCiaAbco)Cp)kkgvo3reLf$T1PKG&dJ(_}KKiV}B`z}S~s6E80Oxf{^ zwIdO)L8(q23r+8R|IfB!H0{ls=6UDaLHq-J)gWBMon> zsi}e5tz(W6I^&o33x#4~WtA(?S^!Jf=o`PdctdXPY!Hb==Z_zTm9|6BpaF56{CC_#T*fV{waG2(ukB)X0;Y6LUJ^Skv9v*IjJQLVN zK~5I3!my=IH*~fRFP|8TNczp*$_UuSab1^`6l{k}axca}QUr~9WA>7QhC_q`9u{Jq zH5O=MU?BW7eHr4kG!*Mhq%~|V;L5@cibdPm+J5iq0^qLjMpw+N6+0xWYIqnnS5M0Q zFx1Sc>$c^iM_sgz^(~7#v5b<&CMG1V8pL$MYI=IL5bRP_?JNHk42;F-W}9A|KK zp4TZ%0NK30z8(a4sVZ&GM6mMYc!lYJr(6vI6HMkmL7vq2@AVA~FmLjTi2(oxyK6Ed z9&%j{ll4~*B@Zs>Tly%jU!S?uqw~H&i)(1`1rRnXpRtZ-AtwbziGy4rC_6tNFC^>g zK~#oVnj||ddXN*tUd9F9M~f7_Jl!oC%zivcIHOQfykuW1=o=uAh4Lfr%~O9=(3 zYx3$rE&d4ngf2R92absSy*&_)pJc1Gq0#K@>{AA!g1G*YQt5SIgQy zd;nYo8Icy=daE9qN_``3Z3VXY1#3z3N_}vB)ipG>`yVm_fdnHN2u5&7NKe`Wh>oYL zj0_B*7Iy-g(ZyEh^jCjm)xZJ}2s$10-R%1_P$VfaHxuL!0#G&S|vR)&U##+WQY ztGBk!|4(`~^QQ%5&A=>JDQ)WQ?TvZ;8Ur0Gz7H1RZ-~39sPux~0qN~=$ap}|4hlIW zlMDqX67_RmiJ(EZ#|MfbvgGonpvcU6-Fb8&I;^S_nJ2Gl8AteyYiga1Ndj7n`$gSdo*%I1AHmmgS# zBP*bPLi`}8IN?m>9f-n^ZSpys2^)jJf+SKRPVP^cueXW{vEnksQ=b-U7weY&bzp%w z?LA@P-@Es(#C6Yiw6%e?v?(s;kdQ9R)ag(`9jy@Ajx`8O0kT3Ms&rY#SRVua8y=)c1ixZ@QA_GCgIIM9{CI;ZR9fX?%6ofK z)8MM9AO$65F30|*0bU|p6rU3lq@=Eh2hd{l2+b_Fm& zkt&{|XIrTcfj@nHeXHIy@C+YHdSpFtTkK7T;4xNQntowdozE?}L%h6BKPnu{bcyLj zSQEM?y;h3HmL|ZVURZdSl_dq_nO|&t$W4=ubphgbiJw6M;N^YYV`Wt16wo~n5qyeN z-}P0!04d;$t>$HblBR(*kdeuNNy8YZ%N2TkE^?v{a=-acQWsoBnl8@0^E8e?tB1@5 zT+=75&p?YKgMwTjhz~I*7rV?%QR^yjYP|QkBHMu;Ixp_rwQ_NEt@`7_MKmrshsAmSl1){)kp2jC8 z(88E1VJt!i%$a@QW@9qZhseAO4w+cMb&!8cb>nx}pRw0CVqvI^pYhqGmKFNpayi`+ zFy;|1*E;WvPD5srnL|ZUWCax9`RY~lk(Jp$C8)yVby}A9RXKM5 z_(4t(l1@)gD`-FMTno3kd~A)U@zC7Saic%?;ccyd)|q}@KzATZv-xWMZgDZK3DSr& z(E&olJywtrVUAnUe+r}uD*7?>_LzLG9MZvGUjRZ$8Py_?zo(u-O%I*CrcI0D+Y@or?fr?d}$JUHVyA z+OWV*4i5V2p9WEGL3bsMoPL|}Z*F#Wb}R3S4JO9Nxzi*~jEyCb=a->HwKNy;STG&I z>x9jd4h1L{jh)?!opf|~lM7rH2x;)Z$dA!jq`&(#OxZLy);*OH@4Z^?=HVeAC{I1ToLuw9tWal; zBd1KF6ZPU35uxdHmi%GY&}I3#q=ftS?EnM^A0OH3uWPMWerDpKoS@#AoB#D4euliO z#zDUDNsd1d!Gc1?Le2-w*=U7X$eT*B+z&*+yc2{{48E9R21xy`^WaHWnS%OVnrY%~ zklJN=Y=5#p_klICT|-yxi|5u~NWox9M?;~vw6cOb8MyM8H6CE5sk|1A0A?6tv9Vm9 zhS3UPoT3j51i`Yw2e2D}SCDkwJVf%$dy1WdCju2C2H+hO5{TQ4faEkt37ZYVCU0+R zHqQp3XBU5DGyu>60ZENRVye-%J>upp8Z#E{B20&cX#!|_t$GR<2M6pCV3IG!s-9U| ze$g%JPU2nzVz~CF5~A{_5M=1fG%2^dn$QKx`5Y);<>lqN$_qe)fVac^3figy2<9ak z@!2T`{0nFYhL7w)5`r@)FE0-P_0cb8sG^knJ#3m5vM9UKMwk|`uhg%0oPvPl(P~8> ztN~=Hw;&+)IEnj;LiOj*5l}EfLNKc^;}k(ZE6L1cL@;3QbwiuO6BRli8&? zO&AJSf0^xvG^_C!)0WQ8&hls7FhPUgAD@r_5+$sRXtwmPmA#3H3BW|)n1rFO;NmLC z%fr8uasEIE!SD=}m2qWZ0dEjinj->BoR%T8&#cVw#JhH!yQ1sEz_OO@o|H*uiwz8V z0VtFTyb^{Q8X37mPLPEmem)EKb^*DPqRkTa)P$R*B@D!X0&CAoh=Rre(j9`AmsL3V z)I_-w^9qz-y6e|plFaGjNEd0}VTfg{_yRe5z7#d`yn$s4bL}ux|K#wxlSpeT>N#9S z5p-9`kT*LF!nnfBpgliT^kSdM;bI1l)IkQ!+CX)>IPJUOrHTUR29#Hdw9UNi((!=U zg!`I4P4qrqCwC4hPWBQk4W)_CbxO*l^z;|iW73Y>K$l-s>R+xNg#95dNPrUvcpPFY zpnPt5iUF~lX}tp4#PUFXkXr$4P=0=L4#g+Q`s`%k)de}xy=$U$G5w+jwdG4f-@8|6 zX*4u7T5pkI1*jPrfk_6cow$Urd6_PR;Z_zmGN~AmcNo=0Kb)Da-~k@&>FpJyBCPY+ zSlIG}Xb{97Ou%-A>=ukg!G_php8#<;JvsUJWPh3U!8$;nb~JiqWCRIe-ahdILswT< z7}@}4e*j$-P~%O?oAe?+o}lbLfBrl=I{K31Z{NJ55ufmcZD6QS2iQ2U6E*TGdN+E0@@KaozsFasw4=L|Cp*nMm9QLAwfV8`>yCNbZk)@;Z$ zE@DpnKrAdQHT-|e>kcoT53RU~d3eMr&cW_{--eG>xwK@%mT*<$svsFA0<07=&ga>mR;z~(QUix*f?k12#m`nf{#AlKuB*Q=^}3bfCT~t zg!2Fy1!$t_9+NGzTM&tqH8!67`h0+)M)PzA5q#fzDp7y{&QnVZs6BC96s`bqLt{zQaRNWe| z6lalO!O=)%W$A5o_a9SsIyy3Dib!-H6S@4FyXbc2OHPJZ4;PnfgoJc-bTIZcI%Zd? z3j!=Ggkyq6YE&f^4b8vxbzFngsg6I-EA<1UFsLYm@s*U6<d&pMMI#h7e!T^@2s5r77ff6!qxKS>n+Q@2ds};-waO8zAIWiviO8you(tA?{P-?V96MhHWQ`F!Sua-IfEoj=O$zsy%mPG-c#m6^6+ z(L@XCUt{dlgXtaBCyygzqro}6QJ!NjXaJM|P=&KIM0?JccOjAO#mUdFRiFjar0XCv zz}!zG4CjI6EqOQ{1ba^~r6?=Q6lRoQz~f}2X$rcg_eMifT-?jU%^BF3P`6c5MfQN< zp2LZn1bqU`J`mpMMBVLYKRyBO9br7*Yg7lpAcBxqu+{_}d?sMvX2N4iz<}%0HigY< z{A&ItUx$Qu6X4QV7!X@m&csW(aN-7FR;| zlviYhBXwh8XYh{K|6~EOV1QQ|3o~>EVlxt%8;gs0_PCjSmvLI-QpXoBV7?4oXoyHv zf6IJ?#X9VW>}_twnBI$MH{aAd;F6)DrM*@Yc{#C~=j`O9wzLTI%NY6zJfodh$ZWOFq!STT@_Cz}QJ1Au?!py7%~e%Z#hZP^OqTg-Aq7Uy%5;4|=loB${CEY@B#;^^DuP=J?z6w1EsQ2; zuYkB!V_0HbI@N@{06f-`k}J6mbspxx;gEvj0@7ge0~ae8YXWJ_I@7lbVu5A4X^GjluU3kyVT6Il=$k9dJ}i!uq(5-^czLvW*&%Tcld$sr^kdbLaydH2ujIKXzyZ#L za78$KM$ORajJK!os{2U7r+yod;sBb$k=^(e53LD+Em51OLXa7Z4gyEi{o*uJTVX8; zQT=Fzgt)lN;tb{W?OSqCi9v-FO_yWdf^%u>=!lp0=P;ZM4U?%L=Lxzv07J>m#g0Wi zW@f!nzRJcmak!jQ`?Z95luk^{5KBT#j62>6yaPlC$nCY+R`?$EAq52ld^cP0d?cEHV}1VS zwKL}Un1yvnpi;ET(fhy=dF?6@BuxOuV-^pW;KRb`6EvD>B(mz#IS|z}pJIw4`Ihk(H$ux#tiHg>5f-wRd-S*RaBhNVue^h>(~# zLycfN?jZwAnpjmFZO)*eJsSgo2ltG$;sW+haLy7CY#>%uz?y(H71KPfL z(ExQ4Mw5l0{DSu8d$KPMKLW4&(m|R z6gxL;)wlWi>_IKfvrh0j!8Q^FvjxZ!__nUDyKs06ySag~h}^xaLG$tw0DJGt!6P5d zC0GcSersTehe~E=2R0F)Jn(35yf1@VS2)3NQsG1nb8YiK(f;k`5I{iRm>~G)Rx0trIw?APkks)of7tH1OZpvF@$nB&Ba+x7*+i5^T zv=o7K1aY^AT+!+YHC~?P`y@S1nUMp8#f5^$BoE#b6zTNrF9=k=ehLf$it>- zdiWS7qX2=G!&!Ut=2G4d;v@zRT>k7D%uYjJf;a!j;Au4FO$G%6Knp1TK2D0SL0|<( zdGi3zicr2Ejx6+&6RkZtCdFcnIQ-zK-QBH)huLcI4hw+tg~Y_@V$mL*mN?9i*|j-M zfj$LO3gY4uLn$JYPLnk+a~m7|V98+zTqar#xif(hT3IcG-(Uwd8p83v1_q$_Lq7me z4!OP>@P$B^aGt*pkR68NfF0Tm7hNSG;ekCvqb2Du3N`~mwo?vrAho#xCHK{g^UnJ;Sg9v>z-lLnDK=z`n3xh26vQ%908?jWr49}-z=F!Jr^x-u`@ElRy%{A2 zdUrFPrzk(#AX2mmCCAEE;=z(ulbT~bK;C9X$P>OZy~>f3ga2taCv;La@`E(~vaePA za>Ky^s&RobK~1h9f@kH%kF>N0(1t*NE4CI_U0a{1gRt7k;p~oU3VIf_i(UvXdCztb z;RmXLktWq_%F9rl3gf&~Q5_%IByk?3_r}B!Cv^{{|D;~c%ZM1;JvxH{jf<5v6@ccT zk-@$JK?VMW?FniBCwUq$``82%=AeJTWT407X!*<84#*V|QuEF2^hrWa1X?>b9udrS zBp!U$*EaxF)2jmX*ccE-B-v!AFUiJMYY0sGf)mHk3&^qlWW5dy{p$oFaE!sNfE1je zF(MYdvSsWomH`04u*q*?-W{8x64j5U`Mc%mcYb7z6~OB}*EzhuUoCjKGXRAE!@1O6 z#@2xU0ynrE-!?Qf1Yrh5_Ub9WF-X+31mRuQWf%yJh>cZ!^ymRhWn7}kw6t;P_Zy8T z4zSe#B>_`{jywU!cUnKb(-Lxb@USf9VX1fD35}GNUJeE{H4WLqdv+iJZ3Faha)RMb zhfk%B&!0mv7w@!U!vFSa#|nB>zs>2+LWfC5-D`h@SG72wuE+7XyW54MoLn0WP=I&! z3IGByC}4#P0-SB>MR4Pj7=R4&rxdi&zut8s_YzOls=c!Q

^})f?9k|x6qu4{~~!B5v2HFmcbk^Ir%t1NO%hilDVCYr`j~T zq0b(hub)Sd+K|g--p8q*C2pEM1YZXinWfc`}E-tZ`f91e> zg9HPlqCi^7giW8Etn0Hg3~d8mI5oW83A_^oWUqii6ERAh!kLEcd><|VfTxksM7C@g z481Bu(>xPQt$r~Us*nwS0cNFzo7)~}f4C$JMg2DLjuP~gjCjKOCvF4>M3C|~} zgT2E*J!dZu-l}T^oXQq`)j`Yw|pnr+hKP&6n z;9EZmvDB_Vi9(XG8taKIY?O*6A-_c6ZfP0K&dRyjJ(-_>l#UuT3;d1-1Ex#E1($gvXpxU95ThmDc z)7qMv6LYV365j^|M`>lko{yRi8ukW?M`L3nUa{=+&?K9aBu2b6G)muaMiwS}&DnO) z(XHW39J6d-R&G?Se%Lio)i{;tVUL zFdn41uSrR`{MH*ZzVdp9bYh#AIFXJH?89M#;(=oO&82p2u>aE<0u3MWVfc_&0o-s?H(wb$E;fkloP(gO8f!b+^p3rHjwq!*~;O?Y3lu3 zqG>t7v4gR*^52)!J3@w0${~MAfFKwOc&B-r)2EvNN?KgLd|se)vbPvOhLZnDE@nLn zfl&EHmZgM)tpD8C(^SGA3Yx5ZzrU|C1mD6n)M?rvf5d=2I+`xIHMw?3@K9-vo&Y`d zNpO?Mo0wL94M|px{^3{+6`q|jjTN`1O>y7Z+P+ld{q1Fy+m+ouPSL=nssDDWd!%fw zT1Zs(t-1k%T0-j5+Q+qxNxl8l3Fx zU$zWPhmd00#^&7-SwkHFr?y5$bhDMb;$GkS;WnEhBH_o;LuM;tneEHr?BYE5trC1I z$xl@$7gvEXYGoo^!C87scu@H?RCM6HVHq}Mc+`7Eb_Zi+HY6(O+nc2g_e@aiPQv-)CJv!E91IXW>4Plw7FqtNByeFRzgxzoKl=rJ&@b=XO)?{ zpm!2)E4INh>C(F$cvLL%%k;J1U)CA>mZKl9{P&ScjnJ)Lh>zB_fu9A_?}dGm%h2i1 z&1!}XLS%jWm~(jNi>^N&1YL~$kmy$`@(_t>x>ArHC@4SE#+HYL^sx*HVPwlsoYrDoK5ApLGl)D~zd&;=d zeLlgy3Qj(t$^quK>gv~E8z0C`>H|^2HD`g@%?-3F$cu@I2`)R$oX(df#dfGrJo!?B zf|^2c142h8O*E+%(0UcWDRf)+&No;i>69z;#DlwJ3dPIM?D}I;XuT8DNdD!JHfv)@ zc-zM{)zuFP37LY{Vvo?$P%H5q|MKNZuHT(W0JMkoU$V)#&G=Gofs>vrD973GUSCNB z{S|wG)jU7XK#AH$!p(5$NFI}chEiK!Of_)>;=IC!D z5GXpAwtW>Bd{|FOzZO#v9{H~mRS19vgtGXFURqjERj|&{nkjMY*tWz5A84u$@Hcwu zb-ad^XOTARdsb#SpZ{dC%u{3|(*98D5k488yTWgr-bP51rt%}PhG*#spdn0XMmEm4 zGgaF42(5a>RNpFO`M?kh#c8PWJ&xl{yo^b11OwZJnF(70LH7F=q$&O&s~f_UQk{)% z)FqyP4H;FviDrG{Dp*%?u;RsHJ&h|C78Z+qrz|DgdP59gbDwsbqTyi}WCpA|vE!75 zE>Eb!M3`@-sc?AR@1uhh6|}$o`I*BsGOVs#0sn{EM6dTQIqR%^24%c)*1u&>SVnOC zfOi%e2$FMsVjBN96(an>oFe?ZXZ8{hMa*J*WZaOjNLKwrdnh6@G4Jjp<*vsUbHwoV zPs(XMWM+kW^3%A*MTPRVW_(+f?Yvev3F~w3oB9v$Aqs|EVnecMUeG`>-Q2cRKPI~A2=`qza?T1 zAT7+r1evKBuX{V!215o;{jp=`a`Z2Oeur*MPRZrE{tA?CdOPwc%L;%s*^hs$$2_UbcdObO(JiLs)QUP7RX%One|x^Ur$?oF0NR|NPRA3P`|${CWWYm;be|Q- zK#^M&NV5xc*ffG8W(I4ZGqbX?0s|5$zd=S5(V#ODKny2z*;`s(+3<7jh0Ph)o}l1M zkCpl%hi+R5=|peH?n&=xx;a+~LM{jV*5s0na_~wkFJ7kzdO0wC3H_9fjSXa1OcAEV zRuRBM%UrSn2Q)VW*u`*;C^t;xNitUef5jaBc$n-?f>9OjhpMu&6|}ohA+~(}Oui?O zr*XCUacq3-6^VHA@q%m|;_;B$D3IEmoU(wW-d>eQ6fNEd6EP45dstFnkUtK*6_I66 zpDL3W-`Cae^4VTLA+Oju!f?0ot@7DJ56n|j;eo}#SM9z2Yp8Y`^7#19Jhm+EJxk<$ zMB5itU){g;cIu0pIxg$E-`NO?LPW2PynX=g$K0;d zJW*WEnOu?eqjN61o5sF*fVo4uB6|7Ukb@`)fK?LZ z{01%2ZJBiDv1$dOvIl`J3|z|5<_I+?mD-&zKbX;=O~?sq7m)dQ1&g=O{RZlXAiIF9^f_k z-4hcpAwEPl7-|<{s}!;}h>_iTw1$HBx&3t*m4iu3aVxQ@@c}pQ&xkDD^by|uV{tX# zKrqGCD&GL~3Z@9iz((i9B_)x~hp%(XX4_~BJ6-U?0`hb=_AaC{I#-viAV1RNh&2on zrGwf|zzL@dQRtsqAWhJ>Vd`eTLY#@ zGtj=_dE3h80h%*(b{8&rb()Dl-CtE%gcrSt!vQf4tTwmDGvXv(UK+@~BrnLC5Eq9q zPE7p?4<0x}nt~U?!+7WYdu0;KdWf+mgmSZ!y}qtbx7oWPNDgfjOhL?WU@|jXiY1^E zhU!mEZ7ea5EFC_5dV5@x*ZsW#BsIR6$?v7dkSW~GdE$xdDg;5OmS7+t>3rOoeU$AJ z_~fU$d2?W6N})F5+p0d&EEw=$1+gjcp0rt?Uye&o8-23 z>vmR=_)i#vO{%@U@W1G1yTDI}xJ~!jy50Ci@)(ey*uVjth7BIJdVfY73A>oWVH!82 z8QzpK_A=jE#ws0BJDd4yb7LxLqMB>0OSS@&trT0Y*K15-*|_1e@4znui);zbGjy?V zyj8!TeI6*YvN)!5@rUxk2+DnB%g2cRaN6i5%DHHy>KNpF{V(2t+Thfo>R;~((OGBP z+VC7HrMCW=gD?ijMSSzGep5s6sq}jn9MlSXY;x?aTmQ_PbVUYvMEA&B(M3IZA_IZi z!TXmefgC%b*kV4|Ts7f+jcSNd&84(2;>;N@DGGuTFH=xR$Sxv5o=|Em#2Ad6m*QSd zcuaQh4yi#f0VYKe_K4=@W`!Hu#xypc5%~PnED40cq~|;k^lqi9ffxaB!TC# z20>3=oE#X+%nIQSdt#8T%a8XAc$#p-V0btc$%XWp#}YT#BkOw$MiVgVkoGAXSR0%=RiD{gTr4Ij zPxRYrl*+X$dA{Y7(2A!V;(c}aD`2G!4xsmlti_a(XJ8yTFAL{DF8RCWlymyI7PK8L zyocF7UVc`dq!3TnQvPkDh3SHJ4ckzAetb|8qYQkfz!+FRyp?L-;9!V(Nw#GBlmm(J z4%Z_E0-;9alU2bMDk|hBX!2#}(EDAp;7M@2+LjvSd}xLsDcJ7cpqFRX65dQ&c56Y>!VN7dBSD5jl~w=Jf0 zPPGGVfTS-(IUVpXFyj8(qnzb^sE)2wetGajWauKp*N9^WuC#$KUnU{)Gvi*q)w4F^z};EM>6%9Yo?65csW~3_ju!U9h=8 z?8?kPvt&nV2n@_b5cL5p_ttd37cAt6U_{taUyL?usDE_*Ny!BT_QcqCbT8y1T^~a@ zrNh|aL-&41(0yx!msnD4IF|jN7QjjAozJxsWoo~_+Z8vB;McOzeZOq;RZ_wNQpRNM z^fripRnsAUH%h#>o2|hrUxcCCfig-RLv8J*ths~r*!BXeqwYg-?oSQH*y$10cqKrd zH@$aN22`%%tZ`S3OHq+V271F94Q6DPH_Hhu&K;GQjD_1?` zL2iKB(3aq=%#V5K`>k|==qv^iF^0%Vu)2DREw{* ze*os2V_I33mi7ax(9f{{lsS)M{39z$(4QbkDzmC;qh0$A!yZvf(1W-u$xaq0r@y#e zKe09ih3`Ig>=+)?)b?>9lZr?G-JmMZba*ExDb^9Olc*J^pB@?!YQ7d<^4>>Hle(fU zW-^?zV5gsg8_F~_J(uUqTR$+pnz(gkW!EqG9`JtR<7DcwOz;0-*T*{&XzG zHKv~p!!Y1Z<U-Pq{ii zz2#@ti2L=lb_nPSo*|^~cUg;JP^z;)VA)l<;puCpxy7$vJ0V#KoB|?)QnCg2?HdB4 z^Wyn)D25n-M1CckkV^oL5vY!W9EVX9l8=v;uQ6djD^oon9M^Q)&xhheW!`(hfTM5h2e39^31Uq$VEgB54m=s; zKZ!IJTyBYEwGjIGcxWj>AXEXrRgd9=2LwsD-spC4sV0b+D?vSFZobdDW!_B&Wh~|Ser-Uzr(_altZJ(3HZ~r2t(|o^7CyP@ptBkQv1Y_ z6cmtOO+yS+O-F_@*P*k0b>-cwKd~hP0c=uIQt0?W3WRzLQZP0#C|YH!2t+wI{50U; z*t4h6s(^C8fZ0n)rGXrx+KFojEUY3d0 z_E2R}HoD}N5T#U)QLWl{@5-o@<&pW=#1LjnT$EH9TDzn}hW`MlGHJ)(b+P|yR>e|Kp=$VOa-=ocVD zoM^u=UL-9X^w;6+_T(0fk#ORY^Gh+^r|Uci0t+$vD44Tai~Q}Zf>Ib2FnIu)s@|B- z#bt&`2mUYc7wAfGU*fPs67;MIQZ_uTRH6U&uYqop z&XG8L7-z}f>@;?0AmgU%>d}OJ1Ar$mqNC+LIM`@OJ4is5E?+74CKx|K-s%hPKGJ16$<<{&fy;E!p$A^Kh zt=9kUD+YM4&7P_r*!+BA8Vo%eU}!&ptEaS$p`$v$%S*0Fn5J>5XsM~`WOqWzVY)Ew z6A~P_wC)|yh#Gy<$!UY}wnS_C*UYUUfrP)yBCNgL-Q;8ncuxUrrLf3@ONy!nm51E` zBMwsJBv0515QT~z5y;Ux(ufQz5DiVz305{ZmM~!tA|QlU_!?ZmymD)|vK}& z0is4StFy?5-X&%Ef0-ef?MJP}(k?hXX&DXRiO@wiqlfvBpZVj6)9kV*d#nau6zFOl ze!zK1WIjcD>s4oNRba>yh1C-&#mgS5qVP161S?GKFJIp82c;+RZHz4OFbqpb6NADM zw}GC(4SV~@yLTssek-VDezk68yW4C9N(Z(KL5UNBV$316b@d-s*1VC}aN*+hq8?wp zL!rul-77KL!OoWhQ-t|Z@(f=82j3Xt;gxwH2}X*{w{HTmYIN>i4r;_fU+OD)2OE@c z%W#ozFRVG)3x0WOpxVBm2ZnCUe=H#U9~mZRP zudl-Hk@#bm_=SZB;G2eku0E1`6XeD;+WAl2vn|?>QgmJj8B587_JpF7m+3Y%m$)S9 z_lO26kO~V6Q`(**&jOko2dRJVUYeSM0g9W~=Z!Y^9W}J|@hhphu9IR-NI4;ad^p!NzMoLtT2&nFA& zk2u}FaXGzr5=%9Z8z(|{5eE3WG(7PDq@J&um<(pUi)~y8wFCoU*_^RqeVGN`Sl!c26cIn`r z@ceLh59!y`#02aXKDX00qKxd{fG7w_{4>)&n;yR( zsLQV}4MR!w5ICjdyFm1DcNB1-~lOWnsgogdDp4Dk2QfMvKHP((fEIHP4_lW zTDdZ3wi${;6(8Z~;oLcCg!Wqw}S*=sUZoI3()oM|q~5XwtfHz?BQi1TewLp(t*Z>l3_waysc(U&hHDQQNw^1* zxMj|!rJ?EWI29gsHp-j$<$0%xbYDxwyK^=|aob_CjDCUH2hO5S`!)^bg5-y$ z-(64neN_6X?LI5xIcE}(@P*zjlJi8FWg}C*!Gu#OMy;_~H?D?_xr?7HMdz(rr(Spk zhJ+M!+Y+c8$wy{!Dq_#EUy6FqUCTKG>X^8{B@fRn1B!%H2IT4z0@-#E13!KG1U>Li z6e2AD!VC*;P6qj$YP^qeOrRctPaj~LBs9Q)kWhrLp{>HqiCbc2c{G`vf&z~iz+#}E z3vi?+VUZKGbGX3xw3Cp+s)x%QZavCUBV=IV@X?>v_L(XjWn}z^eP?0HX-6-A07HaU z5}=zb)`xwsesyJpn<-{K?*t3Wj?81nkM9YT!>p9`#X$NBp4?N{cE2=lTwf_Seg%l$ zx8DZB1l4rP6C#Xbi1_R~tIAhUnxEfhS3vHwrWt44D^2pYGcygHx(~F5vonRaAjLf!TU+MvI+ODw zfb!*k8kY1;ef+4wOpDZ*9u_wAa=0T)jgdr;YBNLdR}zBI7gzx1^0$_lnx1GKq^re9 zs!bYnkP@UDc95d*k-V5gUD-dnxVi@IQEIDor52czD`M;?l}7`?$t~O10<-j9=x1g_Ibx?0q$f}}41{tPvmSyD#=iXqsUg5j zOZ4xyb%ogOSlo;lyV{X8Flc-+*Dy{&&;>>6f_o*t>(n4!kcLK?n%C3S$GG7tPQYx`!EjV~z`y@k&*R%8Aoqr+wVQExSQL;H^j{j6`T zDrZ0JMLH8kE*SN`M;|ziyp%|e;{f8Inf>$oH+XgAc&}j7Qa=zaoI0SX5bEPjBg-l) zpcDO^=z(U6eEuOI1DBSI;TEqP#Lh9u$MBfqXJJ}|eC$$=K5AnoFk{Hr;2OcbtduHp z;K0_%S~4~YO%galX4;IRqR#2Xt5>eb{(P2n`*nR-BW9?1x3WdPmK$+N7V|M*X*~+H=H7TAV#Xhu^ZG$Hbi0tR(CCb8!Ep>aKNm1ao?sBP4N>F}jwFas7+Pm=TOdvKHu|iXgW5v;{3VcO;6xOJFvvrOkFgMhKAE7`(4xPp|#B_tWVrb^B7A1S3$*d!sPZJ=<@n>A+shG^D5ymnykCK(-EOWXtk zjlVyKs|TLf&PsvE-u+0CwSTRV@$ScrC9MhvLLw0NNfW9JVcB)4zkXCP(FO%x`r-xN z6$|79ViEP5cb}0hU_7i7kw1f>ZXAoq!5q_j98OlCzqGd|((Hhk6Vp}j5MY2HrM8}) zaR(_VA-Q@Gxgmu(gPIYi@}F0-EHylhJ*W4>I1E<;=*O7bqKrpeR7AY1p$W>*b=n}MEWK~!`~%B^UL5omK)@Vik)mj{5+4?4wEAIHUXDb9asM?@_S-T^YP=Q& zJ*law@DdahARt+n|A7Km%ZRH-rRm%G1CWXCz<$SljEvL)T3T8VdVzL_=?o+Ff9sMk z-UbG~$D=*FyjI`!I={yj!QA0>a(;xdW2@PphG!of|0z22OJyDqO8{ntiX>@>d^nVLd!`84xl6e zx(2SzsL;9%BOdxL2P8UUP8|99^QB4oo2O4L;it#_k+y*;0qBJsinL?2>dgy_W+1xShg_5ICtRH2M=%eXF zcT+!1xk6(2%L6Hjvad zC@#S1o`E12-dzMP=KK2Tupn)b;}hCvnyTAh;<#Up1j0q_z0Y=eq0DwOk(8rsYypZS zMgxv}nmm-PCezu_17QVJLBTnmsBR8duDETFZ*N)ll;MH_y8rukm>pfDWh3h+-w9Do znK6F%<&Fpq9bcI~DR@A9ezBsMetup-77H-_DDCZR?CkA_w{0zb^0~aZnY7?<-fb;L zQRa?r=dnVk!1?Q^!@K^dr0Ez4K2#%#JW~8&7S(5UtK1kN>4*$d<8>+paOr@VPd5t` zK-Zu2w&#ef&e7k`cn8NHB2CwFaT{@8ImAr^S-^~lnHmB6C;|vrC5TE(l$-Fx>Kc1%nRx88Gaj&+0N7BWVLrx4L2X^3&c z?kGvgV&s}a8iw))Lb?|R7bF}a39WAf6tzgRt`a80o zO&-i5R#%cQG(>I~8_QsCCz|OFSl}VGgx)rW?+jUu1%PZ6*?)%eJ^L+QPiejVGoK{wVgvpX&#~Dg@N1~mWmv;Kq{1kJlvIL4hV#3T z1NZnFdyW=lemX=#goaA04lfgVH=lcDzf}ReNtLG4bIafn4FrXRg?ES7VaDf+H4IYy{yFqK{DB9;h@} zJfWYU!%vu8rwD*t65+_eHn&hcGVyBzMGvjCt}fG(i2}o>L21pvB1ysSzE&n~r+Ce; z-@f=Gf}CgP-5Q|j&`-@Rzg4&a`|+|SE|DZar{lr?;v<EQd5lj^E~(L?v-2x@DU{Ok znH?n;a6z+%{5eX*-JOwvfKobksXWQBpYiL7cuR}Z1M&wB)LDv>^VDE(qKGC39Z?7| z5Q*I&-T-Go+K%Y=x1x7Bjz>3*V5vcP9nS5td_yR#@VGH%{_^NFG|c3M*h+J6^M)(+ zjrUBdrU2MK54hCPF=3i$K}Hq_#~Sh$AH>Fz3l_pxdKXYxjmf(`(F9#`8wvs*ieVMj zOX!Kn8eHJ<@TZe|dh(e;%Y@Q8`s)|Y$rMPWFAokG?%9I@ZrctHHEnHJEBUDW_zxX| zxkdB$TR&^&-#}sK++?sj2-hui!bE}vZo8jX*DV=tUA8OkH80-e-X+6&;`U$5Jd!IX z_1AwPz3Z!;(6j>_fvzw$RWU=yt+F3qP`uuM5uFyOgiuABu4B)tTfHkd;atb z{z{usJi?%SGeniAIU;a;Hsfn>COGEbDs^ z^0x=8jA720b-!qI(L^Y&{?D*ex3N&y=v-E(O@u1)wHs~AZZ6uLaVcsi$21_jfD<=# zYaR8$o#AzEGBx8)5VCMpqw|Lskm%;8Sx>_qH(bmLEG;JPjHZF}FqsC1*h!jQxWAtZ1n95qo9 zk=D^UlTs(RvDaFDTjC;y1)*)sTV36!fhO0ust^M7lwa8IIE#wC+tkf`tTh#Wj8dSM zh)KjO$-pH=HiyJr^1cmaH+bpe*c=T4sQt?qh)0m88;g(*dZ_cEYQ@edBZyXXo&I7O zn2w&FnAghPr%&IbLqxEeVZqhRXHO9d2_tj_=Ly)vz7Ef#Gr8CB8IjAthi!@=H$rHA zHR}|mEK5bWP~7QkN!Q2{cv*Kn(couxDCIy0PKKS`!9HES8KaurIqnQDZf32l&knxY z>t6+1)v&{I-rWnkRqzkuHSw)FQ`e3z=0DO*B|&@0b6>4e3uMlBJIS#M2%EGr+pUTd z?y6SSr?-uZSc^p|3_2ahiZfeL^{2YY%1Y@vh^Y_Km`r2BVq1t$(7#t!_CX3cBFz?z z?nXDOu*WtfgZ*FH{7bXtb*z~@oxa{futwXJp<7h+hG(Dr7(M(^3#8W80^17j>Ja3_nkp3LP6={BJA-g`)!FJ)6;R4 ztel+deTxGFxvw@Bujd8@2ZIc}kfXney|};sm+yh-oLiIM>Ja*+{YW8Q2O}Tlf;cjT zhi7H9E{sfzrMHn$cnB3_cc@hsUozL(Yt(i0GuGq~zpF#>Q)#8v~nrk;)D>9qEhYtXk{V z6liBqEwOV#0+!C^Z$*-?F2Ry|T2*xgf*NEvr8mYLJf*7qU9ie!tvkP@TPjM;8HFy{ zXM;RrKp7=M2kL{wqsSMtS>A%KU)HktUj6WGzwZOp3b!tBV}+M77xLGJXb9Mh(YXf@ z{?)4ok>t{7IhcsGM#?;t6HkyW_2NaD%N!qj1i3XuU2Y!-!wNy~=p3*JfZNKcB*M=* z_nnOX$~+#GT$#1z#XWba1C&ysdH}j*%!O=2o5F7oAL=K!gx3!v#m3j3x{w5%Dnl3F z1Z|)a2P>k8Q0gdLVrs{k30vpy{isP;ZrBOIm0fXyMuyze=%2H09X8?+DYRKPm~w7s zk9d|*S~nWjDw;34=Q^jIjS>EOxA#KLY3whx4mKnelDguW^4yD-gdwnC0N zQfhvhc;V<;VDA%Xp_WkyMt$`Ouuy*e>YDokEhu75*@6R3`tMIqgGCQh=<535O0!i# zqqSIqCM)e$vFqt=V^hRm7!FYG5sw?C26ohgs44ICf{sfDZ6X;4I?_~DXCr&_*TmK2 zN#geH>Fwh{!gKkBA(Go4(u9TK(1lY(sS)z!2Cr;heQ${#1rjo#=UBKjfWwK&4uagO zf&#L87R}Or)w@WCgWfvWTuNLVtcIk7L_c!SzLz)xJM^xuE_?P+W4Zm0B^#X;E=fECLzP4_z1K7HYCv3Q|c3WEr+c!UmC}#{>TR7JkkZ4+sXH zY6$xFpZfJ6E{?pg8=RC4Xi73Y0M$8Y14tGtO{)RTKj`o~8A1nBjPFMX?XZ>fs>|zb zas~Cr0V-40&n*pG7kncsTLAT@4#2#H2N|hw_KU2;TsOz$wJxq9<_khTi8pRC0&p8{qt?lBX5ZdIVxeJ?`2JI=_8{q78*6bG z2eV7ua8jV<zTu=G+jq#N+RqxeN|$&y9M@L}U?gi&fc>yf8t zpCb$dfzSPU=34@4tZi)sHtHha{6f>Wch|bS+ecs49d|2+yN<|K=7cY->|mW&aS-Tk z7p}Pf_;Hv530Eva8HX({Q^>FdDIMVBlM8R;%1@E`Y!2ELbWo(Q@{bS_kZu`nrch+8 zS12H-g#pr628QX%%b>A$#3AUr)w&RIVn`A+#Y(*q})P%q$eN=x(C%G^%yM^BiezrFPqzDhXhF{C#0miLjz1Pr5OV;W~` z4-ge3oZgt6+>sg6G_Y4Uot8y(Z`j`aXPuuDfUm<+Z6_t<}iuu8~4B z!REf|g0Z?U;&!F!eU}NZpPSTS>sR+iDRW3!Gh(0V&QM&|N_?>JBJ5?}O=0vT(pMo} z0RM}ftX*{5ey3{-pNoTQ5ll1g1FY$Ea&iJ&=L2&vsJ|{#kDS!hq2|OtApU{0Dju}B zrry{+J52S6(pSFh+$*;`O7FO@ljTiyX#B?Hm2Q3+apZ>A2@MD@xLRW!8iOX&hx*r7YVRJ$ehEniH zfdAp#Cf7Xl#u!vEIqNr!pl#fPXd*qm2gpas$>olZ+0R5SnA@40) z==TPD>FG^Df#NMs@j2_kN3f80?%a8m%1pCWqC6*j?0Lwzvor_YmU-b;H)eKr*xNAp zbbR{);Vw0=wW81iHC|{xeHk&N+CY)h4z5#>F6Iz3BG<@9m6IkWkkeun2$dg2gB|6| zQ@csWkTs7)OLw3fTgK~g?EYJUxhBUQS-*Pb^ULdRfPi5s9EB6*c}eIf9zXszEF!W& z@d3~{R5X$G@JZv+!Dl--c-$87fh1dm8`Zu$EeKRgX(1ogk0<)<7y=rZXO>CdwrF)s zFK&_O#CQ%4A+Cvqlk*58amG!CJpwbi@0%^5$|%V3dM~=h*)*SZ+Ccq-^@VDru|gwI z2k`Egg5It0y8W8#P&;19uV2r=NkD|pC4M(}g_`XH3?uTL9pSdD9)F*zr;JoUiHuMl zYcXj^1V&r~)OL$KgkVBp|8}Nta>)$NyH?l9yGSyzu#-#s+U;fJn1HKBe&9FE6HD;t zscUJO=34|Q^Yj#6J7;P66L$oKVk^2&gd6Z_Jt5Z40Jlf16?moLx9>Ojv+Zs1KDD1^ z_tZN*Z6mMW2Cszld2%Knh-|EZCzr?@z2xM2{9!bOH~PxvalAe@G`N8o!c}FUuMg*N z2SD9w)JtR=fFKA6rZX-3c?knL@Lw=-$nEw)9P1mqK6Y;IP3)vembvZp^`#*$3(!v+459RlnW;_oa+47D;7(h+`L)JiG#jh*3oy>@W%C{+6G1Of6^X^0X3zA*& zDnvl;mEPzCz_y$s`93l2das+^Y0djuJ42(m_l8J3)gw(YcH}4er8zNIm5S{@XBY zWUJqLo_g)!f6HN0d_f@AY~7NJx=Fb~Uov?>_fV*sg~*tfkgDvv9oTz%S;V3GgU>?c z>djJeD6P?vc;z2+0d9VN(BUE}xY9JFmgTKQ!Ep}Iz)K?4%keK8Kg$Sgg7v~+Vf(P&7=Ai*tJ`mP1TmY%Ix zi-(9782yk!iY${&ct8N}l069eIU1)=2duRMNyU;$POM_E`8W2enfCsEH+K7Y#SDmD zhCwab0YwE_g)BX3^vjD~mkN$Qxz+E5B}&gyQYidWPyiJe^#Bofbo{GMeLHPO z@p>$TlxOZ`5uNzzlmzAi(EWDb3b8|kGOq*E!5eHF`td##Rz&m)P)|HTLXp z2hTh%^jr?ht@?%rR{|Xp&BGJkUa6ZO6#~*~Z?lOw*_`Ct0<=vGDZ}bj89tmLMJgFyl zkj2aMu0|xF2HQ6VkK&0>Z~T|?0r@R-%bw6l;JhIvsF{y79E;*$#FgTJz#NwzkQ7Ll zAP0ls>uri(S*f1DfoL@mx_~zY=o^vUQ)C1OTa6i!iD<270}vKBR;V%_`yBm?n!i#~ zKmt+8@WeGiBjj8CBDR8Ir4;J}r-qlKE2n+HOFX_yW<+mcJPukkrQiN|!dvzx- zuYM1PV9Edy5!FglJi7p35GK|EvLpsm(lDZCG;5Um4 zuOE4XeRI2aLu~D*fCalVZWVoY*rm8h&+Q@|*F=Lq)Fl&m8L}c$EH1?9&{ilj8Uc zUm7{qtfNnqHb_H53;Ywsmm~1&CCS`=Z7kFRoiu24NO255{X*CU&<#iv2~_x6{OT-# zJ^$UzU+njDjJ>cjGr6c`|G160`EJ<(L%V4DDG8}ZzkGKwy$&@b(Of$ny`E2yBjz94 z>rP`!Y@(v3I{lDvdGD5Id$!xs3B5kj^w2i@uIjP$@ydRPRPM=UcLz%uk`&xF+11kz zEmlo?^v^vRm5J2KJREnp$M)BBn!$ok?k9Y@CO4bKb1N6v3suMl6O1475R8C61IxMs zp*Nx`k=yX+@%2|dXfcyF{$-;2uUBs_ZgTmo$&(2C`t~abdi`kdfZ9tx2`02$kj&2y)b63d-A0*3H6J5UIW86s~*OB^;EV9F5 z7&B+LB=*I5j2}|=Q z;ixdva>}?lwEd`iHmrPVt73Fkp=x@@HR)K5po8yJ(P@juHeG4m`$Y6g81@fJaX>uN zQ{`2znr`^U))49h$kuTjk&uTAvCRz1`A|!yI*|ZVL~Q2hUzg&LbN`7|wAQw^fzQm) zq!xFvYGmw8ZW(dVyJd-uZ#oYKM)%Gw!=FHOYSluQU~cs(QIa9?f%0p?)5kQ$wJ6q8 zbp#)NyaGGb$}4`{iLBvA>4sfBK)cB$XIhs%5*A^;ax|f7e0v~nO?-C9oKaJKwhiZ$!{=MAR6aFy^nrL%hY^fR9x8}2bk|D?V>hSvvxeh1fED)bP!TuVM&$=AFf}Jv+OBc5P*3s7HSjTc9uyzQOrKFhHOVdgtM)Hh;bLKUl zeF@PO(Y!Z$7hd7dKG?s<-Cgyuk7J(9Etp2^dtQ%#vqhR&HG~9P{NBz>uKBRWEMt2b zdeuR6C&>15=`y(m6!M~7=?MAI{A)Xf_~1I!1#;{(b_Wi^KVers`35Qh#4FiD%qh9? z_ZfoXpp@FBgXQ4gT>gATs7m&$vKQEtfo*GmQn$%3DWZ+%4?7hSLe3b@Y;P1nY9hz% z@?-YBEHX642Vn41KTkfq0w^&o+PbLcW5$<;24YwmEO%_GDkpA5Nvqe=0%SI57$7kj}Ph^#G3D&$N|Ab zYo6;x-`ek5a@3#E)P$k~3qR;iLMP`>Dz(*Tt~2t;;V0U}ejIUbW9AH34G9UJTdwG_ z{c7VR$Vwd5-#syZ3nRC`IX&8ndeGG@#3**@>80e1Yw| zt=1-lV-!f;?d<_+V;>^+UUDBlKv2X6Z+Jbgzx-+`y4hXJn>aNd7+CpQOs4)o&m;n9xwN^`rE>QB+RF7C zIp_3W8Pnu(-5ZA7sl(eS!Cr(-GqW9Ena|EoEhA2d<_DV0ZSvP=va=Z%T>=`0FqTVR zzq1Z*qox)r8%ygk>AUsau^!!Pi_|b3T(j7qL%yw$@{jPO;JtR;ARsSP{bh;fC11ZF zAzvBfzxy-4@i(p-EBn^J7FV6WEMel)=W;3}c&g-&kha(Qeg=8LuphXv_XIDmPx~Zm zWny(J$dHz4?!BCe;@9=hoS}bv0S?8Y(q;SBkkycI%gmS<%zB`lTwPqS@9Q1iBP=5{ z9*Ml;8J4E$>K4Vj=UbX~$}zCy{=A*+XQ1^TokJ=d>5iWtWrTj0L`LlBGB&!!YIJ^; zP|4AUnQZCFNYk;NiLXa4ei{FVlti{7cK`gx=r$r$GjDpxu!W&5hxw&x1cX`|znR+P ziEdWg&!{_YfPgAzJU^#qFo- z^e>jXH8QR6UU`Xbj$(8~jGSc&s;7PyRF#w>R_|u#U_RP4G=q6$ z%kVJh9cEgbD!2kn?N6NwX|%>p0$i}xVoAQ=U+B>(n4-7Q;pZ5eMyH?^vc;$xbN|Jx z_ZG7$d}{55`q@CH1e-+Zw)|v&{OpRlZnmCH#KRFcQ%1S8Q=>l}sS0*3KRL$6qSE%q z1#}+za7_E>=`wW$(YFkv-}8o>33E-BZWcB`k&U_@75%~rYY%x3aYYUwuM$k~eg{uf z$g4@We}UgUpiUc7E5B63kix~M{sp9P&O`Z&UEj2ihOlvRVnbBsxjT4!Nc&EgtaOl? zm|K2Tx$q6h_M>KG1f}zbHCm?e|HkZthtQ_Te>z&Q3Bvn_S9I3V6Uww`C(D^cUCC_1 zuXt7RBMkQ=`uyXtu`L~xpLMS!-I|F>ULzQvJWb97x|naFa^uF4U~{^3r{hnIa-Nli z3`%Y6thbmkq5Azc?s(6o&scr@M6l_+p9w)x>$cV%kusFal>8!1D_bAW>_( zKLvX*K@lAA<7YKf+wbz@3v3z1PJ$02bbLn@8Ql}79=HTm)27mg)Ji9Q9&y5D>Xh~L ztF@&HfI4jI(KSadcC84$N7UaoYcWP5^x?5LKgUbE2!xSl-HbDIG5o*yux-$f!m{zT ze;O`eq?AD|gI=93q!uQ}W#d=*`DbB2`{!=&<&~wY#S8yer~XA`I7K(|s-Lwfl1^?K zr>BN6>H!NMrC422J9VaIw&IA=iS6pkCmXEBVtH*lUg%eXH z!w-CL4&>LzwYMrhvaO%H-J%FJglhV7|6cBDzT`up(g+ngt#>JmSFcp^wRx-6dkO-MSCob=aOB3Bxj^I{#Dxk6P-KYmYN zdz?02{iA|^W(_`Yuag1SzJx4`9$X!8Cg=WI-?(1T+41&LqEMGS!UZpV_r)$PM(w8$ zg$$pz*%&^|xV9pk#QbsOHNOUK_9(R!wr9H8fN++UN*ZnPX)tP~C~f%|(x&#_QWUck zvfFC|0?;^;#WTlRWNr?Hv6vKCDW=B?HZ6O~F@+z9RuAdx@922cXvq^rRF8(^kepqm zdvZoCvt2cPr^?xwwg!<;M@h`}O|fAw`DYC@2bZObAqsDSZ~&7(dkYs~+lvfphHGXnmCQ$j=3bovvfT0gKjSl_gIv8t@2wTNH;R&iy>bNWjLFGO*5|Z}OpTU+BCu##{oVB9O^*7x z3jWYK-D^A?(yg*lrAG*}c*A;o(_>mwEzl z;>9!)*h2~GjD#BfZUKtO_gC7k9&Hvi)3u{^HtCpp zG_T^5?@EEgQtC`n_t0(k_xIoYe7qijkzTEi-opcD8M`%9(si#E7y|i;)sU&*DTSCB zQ-Qd%1WE(JM6GQBiYjNnosfQOx~Db|OF~czs)0M4ij>08scU6u7|r(hmw~GkG9lQ2U3l9|tUXmvP%BUgJSNJ{2cLZ7k57-CisYzq^aKJ2ILH6D2|Plj z#-@=W&z_@jEv_o!KIjCNfGkAyXtvlFRjD=O4!&c%InF33Lih%1kXZ$1r+(O+jgOJ; zVVFv=IT{4hT-0f+@B@jByfNzc-9GV7`sdv3v&_fu;SES>jFcTD`5BT$DYX|>1-1xfF3Vzipt;}I5I}~yD z#Lu>(ihdz!&*5q?6CutX;@E+JT}8&UHr%JS*KX7~dRkjbCAak2*nm=HVF(ml-8-=K z;oqKP&=SskIW2qyq6x^G*@E%xL_dQ7J&hmPl!FQQPvIHSJr<2u3i!itO?pa%r#}Z| zLrs-N(hE{!3%+J+%fZP>zcqlMsBmWcTW1n|QXUmNpryuN$DO%%Hd-3qQ|1X$Qq1{^ z1)a;DRkjjMB6r)N4(+2mQ>+zFwNor!^P4TKJ?_EgKk~av2JA)S;ZuQEB)5J1EHlIs zkWE{X9nbv9%>qO!9#j4>cJijtXI*Q<1}nyX~*^w6bp-s6CzaUR1U||mKgXI z(W*ydI5rhw!&YX&CbVi!faK1T81EBObBb63j}LCy?yn=rx-0a3cQ;#b+CbUAFXWX* zpnxHqnZc47*!w14**&~+l$eauO}F*AoL!45%)(K$aufoO3uoinvzI*v4W4jWqT~`ULqk95qF@H zv8|ySv7Bexp@R97v*<1p&Cka~^F|l9B#X{)MdJz z>ELTY=q5|CV}9imR+)YuojZSt_WkvH85(i}+E}*cCbNV085Sq4jcfb72-D|)!5A7! zVdn6e%SbtlJM8N*C$ovPcrH%%Xv;l{_W|u0!|$?fb#=%G3!{_Ve`o!5Je7K5y5fX` zwHXA($anr%&?0x@#<#+jdvkDnCd&@ixKgYTR;{vSf^9+C(X|~GnJ=QOzbB_<$*lS zd_DcbkJ?lg#o@a&e7=9*!-LWKS-#y;D{$!vsx9J9L~(j)$xVYE@y}h9hkleypS zR$TVlGXS~7*PC$KJ1Ex30r7EvMx{_F5)$~2Y?|vtP~!V4giK_$J%D4MhwfO&YNnYO zvXMxjpH)l7=^Ch=4us@b4ierN-(a*A#Z#*+92^Ogf@V@j=jj!K!dGI#_rZi(*7-)C z(-s%r6?x&$?DU`Rv(qI28G8-|_U((`;|jT0&&(I~7VQb7>gHP&6~7TbM4~Em0uEFn z;?@;p0NL(c`ET|tf}cNrR2T~mbgFY#Ibo8v$NV+0ETpAhly3Ot(e7q+b6LQS*2gzt zE&6*y^S0JW`E?TF;-55LnvdqVLz{^pI@Fxs?Sh;NQDBP}En>tdrJ1Z=jL5nyvjSgg zII6LB{5a$ZHY_!tk2AOy z7L2m2t^j@AGZ}e*1cEOnf51EdZmTVIit03TT<^^PmW~n@6@hfW`T3wWZG7uL^{A>0JOh0)V z3n13--Rpv~tE=Z#R>o{0Jeu?yQjjK;A)3iW`Jw-infpdqN`dxw{JgXWr7D)2UaU%R z^`j>0tzeRfjKx#h?z`b)De8D`B};9BK7`G|jcb)BAR{Bh5E-AW4PUfEFj?7kvHyy? zp>@B=daM-9<8R(3mE6Dow{g?W8!(#zyLNcytbuN8(}qDA_N{VTL6kc>X)+J1* z???-zH&}C!$Q`Ny6D47n}oDwk)V9EH5$s~lN?;{+RVRALORi@s$Mz$ z_IvL~8V8Q8T#0*U7t2CLRBpdDnaQ{R{MyCV)#YkMCPnAgf+1@g@CS7Qgf28a6=-;I zF;+svHl`bZ$2bTv{}74%RG2^5SC2&&Tp&oXN%%d@T_NaKIh>IlW%3+7nLP@GI=t~0 zZWEt}b=&XN_vQa-2+`b;#vti|4gWsfdVs(4ChcN0+;7ho=4YFc13<(g_GM88e_s1T zM1!qV$#Aqmp)8b3_CW*jlA}`q(qNTE%PgS|z=H6mHHPfax_@b-!I88^ShQ7Ce%a6e zwg*(E!O(MV2a|NZ=YLPO0&40eUT$0dW-Wu1Xm$brJ?3Yk=;LhbNA$t?#>o zeEY_IXFvTubuRgLy~G?8cVP2u65wc30plQZ^k}$%z`X9Y@BKUL@mOjF;OYe!kY<9W zZ79C*5-@S5gZk!l5D(w7UENEj~}1F4+UV@{U`11szpe6!*HD- zw<@hRw$W{Y*1kM5K?a5R5As44@#9lF<=5Tse3QF1xe4c{@-m1Y{tZ=R#uvxg5KR!BVEe^nhX0piv6pRsoj4Ve?V zCctBf`Y#36YU=)p_lOsLbJd7ObN&2;lBA!%MM-DRy;J2=8p=HoR^F?y(t(g?`wQvV zxvAeJAtU2~g@@Ot0;KBFV|^bUg$U}1_rosMkwn@M!u&fu?k!opxv=p0f=1ES20X8W zN9?ClxcyUlHs9H_a|4d2Pj71~1E{_%GVAtjlVYnTHd=BDEsGGP$jQ0jn1oCRMBm}U2c0o7li!lq?4s~^tj_byyFOow%xfdtJ|Yzcj^1Z6mG$2* z7gPrR>=yq!-7LB!do?|x!}=)vm+B^E6y%cCO!AJ`M0q<;wPdo*7r_PBzX%hHUKt89 zVqKZ!oP!G7{0{MAwPX;^Syn|X;^p%@yMmwK@bXfd(1vS7Ihn{X6TNKn6lSy@3ChXW z?{KcK(CZCikVF*@QZ7IJ^Zg?hbVRl2o0IQ3@7KV>+kptSyEYBZQP3=9w0!y5Xi@ma zt;yx?;xN9=z7P`-!pM6!%%hB2*?k~76w zRcpg;aOilBF&~xq^lI!#ZPpz?=UIFdW>X*KRAkC4Qd}qtsn!q%as432l57O;V#BUs z8j&_cw%f=gI=3Y~b@G5x%|aH)AW6?Afkk$tJabn@X!o@K?&*L3F#m2}w+{)(Po0+K znLky0=p~x;7u;K2nSM9}*H%>7N#0dAG#+Tc7IdaP*hX!VCPX>vfs>TcjG{!8BN+&l zOv!;~Y8OhzBGD7+aq!u)$SJwl=s)>u^^Z?FqsAQ1(wUc{%N-J&rXOsqeF z+%e|u2;0gO(IF|D6409Xy)1^8OXb#FI)yAsu}5jZ7H_%t!~ zbLw&DaPcwgFD*A?BncYt!381h7fc^7P~U#~T_>P$*{DzJW3=IFx4LBww<^BMKuU_X zQrw!8{C<`%UdVs?)M@zTaY#GP2#V+E3g zH|{Ev*@~Aq`5e02T^{2nt{7-ZCNuk9$8hKo{d^+FsF57RRU%bIziJ&_3M(mxes1t? z*R5{1t>Ra;TTq1sm)wJAZmDX;E4>gha&-5B%J(CG0<{$)cV$@}e~kPsxH(pDIV4Z0 z1Bj}vt;}ij1ns~iX)yTyU2#gfMJLwZkuU1-=-RVE{OT(*G>CO^o^G~Rp8>U&6O|QCAIoI zX{mnJ`{7z&>Y=;0Z@+X=4tL?evQ*U3f417kUj-)1f~;pwCL7`|>|F4@y~f^{C#o#h zh`z8h6Hdxvg;#iNmm z_h&&FpEJ{JI)<6sGK-qvI$AyYMEzr+^GmV2!u%3c>f^ab!>3N49&AqC)O5@~q#9{9 z#g_)BHl+uC+N3jeshfw6l*#kb4`F(@p89ohFB+QCOzQX6+K~RVc&RPfX>i995L6&q zrq1v#x~0bLl1ZH%9T3cK+_>>j$ZWvP5F;`(x*w8}j(6{%#Ia5|199WI)y)$#0?W01 z$9fr)&%ude;2*~7av&w;p6yWp{T8yme)y%IE^RvdXX57HU%$Zauh9{!irHddQh{_t z1Z+z_l_Dsk-!jVSz=1V4T0K&p^oA`dEGF_DAJ^9Dx=BouM5~7Kzw8EO%m(r+HJ0hB zas40x@KW2$MkTRE^e!c$-ZBi{VU8Fr*x9)90~4Kg=%86rR`lE&=_u)60ge_K_sg-9sLg&C5xnv1HNU!@v8AU3REtS5FEtSr>K!H=n6^?`>Yt@zCoBz*wE>?{~L6`YP=ZOocy1XRcodVKA$h zT~l+@7*wEhr$@lWOb7%Q=Cki@@G8Nsp3c9i)1y3bBTRMpckm;;fT@y0yvNO%@+VS9 z8*OO8^-I-j{CS?}2uElk(z-#4IxXM+s}(H^r|=7*^25;EepUStbQrCpRMao`U08i~ zEL=i9Nj-+vhz%3l|8M)b0echcyN&*`)Rg=mJ{>GvH8~=m(QV8iGZk+?ADo~>)b{gk zc1ziE@m;b13k^D|wuZ?X4}5G&=L_gXjj9TaA>k{y;~4Ri`!%eu;L&uu%Tsya?QIVn z%a9}hq!X?wg#F?W^4G$ImhdG7VZBgz&>MzSX(|`{I&>bGViFYW7Mp#!NjNksrtXge zoHuvQ59I0CA@n(NYP}r6OeWEgeM@bdgqFVn`6&ppMhiOziDt<0uq8jOtwpehN2zsT zkyBtGg*%Q>?%QXQVBgoVJ5jlKRwOUNh~*r=#s(-dA!4AcOQyJ3Q4@JBhHRWGln7u< zyE$zKcl4Orw^+&6Iso~2V_nRVI+YTlZsM~B`45%}iyX88 z4uSfy*&UvnKTm*zWgnDXFAjG z^&EVT(Z>E`4?Q;)e5voate>@enFM4zRz<2Jm-yQ1-Bpx{yV`kqOB$%4)MaN!JcA=+ zU3yY}sV(AQm^=U$u@z)2)&zy+#ClyWzitSJ&L$U|DfyCX{BHDLaLUXuQv!Js*BDDH zpf7Hja8N^-0L_qpZ0*ZwFPhQ)8t#m3 zt};T@DrCaHAQ_ZrzC~%*iYN|@27Yy=GGMPhR;^*gg0>i3BF20^@RQd@3(V{guDa0m zXZ|@7U%4l^{^l-IpE`GL7g+OLIwIY{I9>)@iFlL#pgHI=0Am6kR}W3tAh$>ArjBo~ z?yget{Wo~g|+&hRpK@{DK^zD@e1;T%D#qA%_)^yxa&-%GiHWPicg-P}s z;|fmvsuRU{7U5{B7rA*qgOuQU&IIcmcO2iLl1|1LufYORi4Wd?g&*JLL5-*qul`n8 zgvyE8ka=nQ^Ec$Rl}a%bKD{hzdE^QnrMwsK(er`^%i=a9wGp!4>C^v^UbcYAvN=@RNa{$E_<^Vf9tLV;HeXx+e&c^H)vSC}a!H(xlo zgF={m_RQgM47VR%94Hsk%=64tmaf@u$gWw0?O#JFQ?kKj38lhJc%M-Q9gGlWb;&5U z{7S(Enxq?}xIUi`C>sRe1R*kUbU^WGdeM=>ARm87HD+bJl512xATL`6s1vkM^n^C| zxO_xEC0c-$&Y>S7?OeHX-1>@J64;6d6=Wu3^aLn|!HJAud)atso|z(?8q4Rd)OysI z&>D&Ln9GG2F3fYTqQr#(T5BiW_dSULz*lolz_a`mB!FX2{iu^So`&TPRlNQ3m`s_VGZ>~xo`>x36TSWjG94S*Za_r4eG<`eYN&F zw+e338kcW-6C&??Y~rVj;ho0OZJKNKR_Lk9d~8=?wu{mqkMvZBfPC8|=XHsL_Jh#Y z`Q_&n(#uS&>cLl!wmiO}?v@h@hqAn@rA*J1a}DEw;y8s zjEU7tE(A&={RB#MSR%c=4n90KfUu3%+~HuF;WH;C@>4H0xmcnSF*PYkH~N4MoxnEA z0ZiTORc2x{y+}PIR7~*0ex1a)b-(Z6pYR@mjP6+ zeVIdV@#DT&vkD3j-GIeR7BgWLz$^Y;tY}x^u$oN1XZbER39FbS!3Y-Pt|o(oDcfaL z=GL`V;2(q|>ro*C&G?s4c|(mTw#sHhkq1>bh+B32cbA%fRp39Vbj^T@TdAb;WWdP~ zVdb-00!$PDore51UH&F?N&#Cpi(Uq+n#C)myHpZbdn94;W4>PXrEm!sD)C}fi z%m*cpz7@vJgL9LBcI~})CHgcWB|t(LN^|GF?$*(o(gm&yow>HQ_G37ZJSo$6Waprw z=84i_L^EFItXSidW>w&3l=?^0tjNjc5557d%-$1~`>cM=jrfG%k=wz!GrNCK`{wNB zV|B%@Hr@z@${1QyjZQH0T%&^Lp22T{W?3pfvMqMgJd{Fi3~gRP5JW!j^+q=-k%lNE zHrbHXx?9*fnbye1QYJbpCzF}Ema^PO-?iJR4oG^C?*08HDtrBn2R0frl*$|Nt3o%dpp2jly zv0&NcY!CddRhO9zl16kr;b3ta-z^3kw$T-Wa62Nu6uOX!ur4nI6=I?+=}eScm9c|A zj&v`=m3hrId9~ocWN6VQLlM697sJLLldkIDO}-N4NMbU`7gh@zCXn>bNkf)Qh*&!j zyNeY@QzF(Y-oku`7zrAITAv}q&me_KLL>6oWs}5y$kQkhx%taeC6MZga|Q^@yz-UV zo=Cc3f&aJ9#*1GKAKbBg(`&PW^Ntki@4CJ*kVkwQ5#of*zSHue>kZkiUHcDp1!L7m zQV0$PUya~)V|66woIyw;Vhi(v?tLiJGm*2!VhW zR9vBDBBN^vmmDwn(eK68?mLe4F=v0R_c^mYOp;eDaaH}}+wShA$?eF)jf{-!BR`#( z!5;sUt24(7*R?8&?|)#Vc3`^$EUmaggl{iznK;sUd$wkFX|**Yjk5A;b+7mGWYSlp&V=Zg*xlB{J-|h&-SSDbgr?qsjkEG z(@1?<7=Bui0sRZKpwR69&TCsV^YjvQZ&BLzX*kQz4#?SS_Kor9q_vk!DG}FS3ZuGpm$X49hk%H-Qr)*Bv^<&k9^noJbN2|YvL`6#iKB&29B)c&M#h`vfn z%qb{c63U(h@oHqIrOM_zw`fgl`3dbsYpQ5Xt19?c?j$qG^|JCs8SW3wKw&NnPv_+S z=(@Y*U@8ClvAMZ9(5XV<45V#=LBnSBznCWCMrU*-2`+d#?n^W4Xjo9SJgb&;RWEw` z0@jBBg}6rYRec<=vhn z>)L_yhq=;3z#U|)d|oO)sUh+H@i9$9vJ%;nX4o5~AuV~4)8T3Cb~lWkv0x)4U75S? zToH@FSl|1=dB%*Xxy<4xv7TbQF)UZAp>|y8scB_?4d@n$nQ0MmnCg?+Fep?29Xm7uZLINZbP0a9+4ygIkLguE( zOl(~9GcEI8M~}|-OUwu2+Po3^xG~DC!}pqN5Yz?1!PGiS>ExNw`8l7Yz+@x0*+&7T z*2MG*KqjD@js$2;j$^mr(JQO=AIvmUV$-(ID3BT*{!a@qR$pMTSS!mWVPvQaM`h)s zM~dX%5GT#fF4rEb0oS2O#H9eUt3aH8f-Ag<+YtQ=j8+E(f*6BT>o8W{oGL|Lx_o)h ziT6h>JFaB*UE^s)5Tf}zzGqgUUa`Oe(_?v~i^#H&(Z>_f96C?bi=YBk3GeE^A3tNRh`sxkBTtCJ4f=#<498nrU*1Jx-BB@B- ze?(=>UWHl9ktT!<21WNPlH**({+0U?cdZio*WM@OM^yj%t91$MY0fI9=Gu{wIMpUR z4-ijeno7p3F0H2K=};n)Psp0{=Zo!^*grxQi_pZ!EV|iNukD_66QXmpF(ISGRlW(L zC=i%uo$q$>Nn;}o@w)$h-@|7?(c92qgK|1T7>U_-=)e+n3)b~Ol}BD(%4`}41Z?e$ zid_i<2(N~!6T-qa@B4C5U^;ggvY`RulMtyN9}OPdrmAWcAJrFh7MK~IHord{C}&Ximv zouJLFs&|2s$@=_vEwO?ZDv<5Xqxqdb*J=U$FB015;^e|pBc&)|$ z!HARaD&iz{S9Ce9nNI=w7g=AM(A4Jsdf-^C5xz9Tzfrg2polnC*vc6s@BM2JDD2+2 z5lxJW)TV)n*qvg=8z*mQrGb6QHZw%pqH;1;O06`t1M-s1Ic=WL<9{kGwHG|s8!2f} zYH`cLI)%gMzDn;>u18!O-ye?}dbk|lYsQ0vD*AiF46bFj4}qGtBC`_Ct=ZS+f59~< zeG`GoRb-K+{4L`=9stynqDzN;iOlB|Q#lp6P>_D}h1MBy%U!YO%-M)QW zJYVwdF12T6-*GbUxMU%J&7h&otJInh2JbR2)*qUXqV5k+>U-ax&|coG187dWg%=5f zIDpE^16ggTs$-FX$P?}Ewz>ae?^ReJrsKY+=x1S}y@Y`RvU+jE!-EZuG9s4OyhtwLNx0{&@jx5UtsokY6e!Dv?o}*jjS{Qq%awp@A4i zc(4y`FUQ~O_+Zew*jI&VG5STS2RuDT{sd>nHoE*eb@YO>s`%2!(Qr_?*yObfYcKzN zJy6@k%t9eiKumw~go-h;6zK*vt7`lv$E=}46$+;|g*B*0fCCWy7wue1QCZlkl4g|W z7j`G9`Jq>WBteg%cPRgjPR2M;8m1MUEm)xx#W@sn`ou|e)ZGQ`qJ^OhVh)I>8E=d9 z{WVraaU>hdY9=UQvSreX`J1f%O)n=dUn;C^Z}}_q-=0kC>oGFc>(-P(tEQo)9USOO zdU6qA?WwO89&jwM5MQ_M&-Co3n+qU-H9vm*%&z*+&RbM^bhmy#{MdLvV#)pgVQ^nd zr|x99t0ljL_a(G^L6zW!XJF04&c{mo0186663C_UMc=!)5 zC8g2v`}OtWS2167w7L6Z%$zioA%{l6_zi)D1$h8$N+pIIS1hIS?ctlLb?`+L zIt=vaqZ}H!x+zY=`Cpik)2nN=uI+~_4wdLQPTbm)Elm)K;cj1t__X5)l7?j-`$Xu# zHbq5WM7}Ryx*Q)DnHlsMrzmp&b-njdBtH>tzHeIbEOyHk(Yc{3xSxTNSZPAhpW@mj zJA_xM&(lZ|(=(O;pLV}=8h#r7j+$?PNr#zz%gZ{m|^;-2uaVY}Keq8$%vM6Z)L zQE6AwDRJN!T{cR(sZ6_N-e-@LTp4XKN78^pYvR* zle@w@2B579LF3? z6||pFo6;jLvu{}yA%c*f`Q1}DhhB*9acL>~sQAxB3ZyUr%H@U$Ta$@Y3G3+Lp&>CURWI5j`26jMUs5{lL)MQJn(QX?pWC;szic1dKp4JjG*_uoCC&O;jf0Y{Uj>YpP*U z)PWjOBv+UGtN8WzZ;yYwvFK%?l##&nlBha3_CQQdgNl!A7WQ=BcH%qVqaZr@-~Ev3 z`-r&MAHQwg>F=cwGTeW!M1*>3a9v>UIfS~It`Ei;f(n%7KA<{5VPjbV!e`v>uOeQB z2m|%%f3hkwGtG(DUAy*ND1KM+_4g^Hj*;|AtpT4`h|4iZ*9=^6gaK+`#G2AyclMyV zfD(a3OJ2X2RgsX_81zfX^u^+ zI4qj|5{L!?Y7qKLKDxino$TGEV@jK*Ecn#;;i><|?SYfNT4|!u#|;7GmO9MMpi+}( zBpQ@6WOHcJbnv?wjWw!?G-0Mv?@%T|_R`MytmP(dl;}0Yh3<{AiF@*~#W##|=zBP{ z%VBh3c(Mcyn>e=&j;)dp*A}=&vmpniuNGu{4k9z<FLXNN<)+5g>>3Z%Z*Sh9EHG_P z4zG?3-FSuRqEQ@GRnf1D9c)C|4h>E$GE<3Ims)dNFdE3wx!46aMCegg1s&aYD_d@; z?>qgWb(GRC!1N;?uk1E%Zr;?%G9_QtlO7#?+b6MRnxD&OlVD!(dU`Zu?8^aO$A#6( z)fxMd`8fzxT**)Fj>-VPgx^!aY&w5~1aV=XepA^E<2+Q{{Jwj0mgrr|p@ZH%tk|m3 z?Dqiz!N1?T1iIehw?;a?)f~LB-tZM@r|`_y`*TC@DG?)qqg6Oa!JB$|9zKjP+ku1w zBthr_D+5lQd3f;bK>YrU@VU1#ksO{iJ96DALiTISnTlsWI4&V86?#7c?5G9Px82DP zP>XIbg!3lvPzgZs$V8Nn;NGmBe7Z$N+!);}`dKJoe)#FRoF6p=02b)a-^e$An}||$ zEPmdPhH_!KKqAippQ`eloPl@tGaQI4t`DqYkS6=LQM`7KJ+PJs9<{nPF?h#3R0#iO zojG*az$gAz&sX(~Cemcm8hJ@rFi){*NG`|5hwiQ@j`Xz#o({d!QzlA$?b4^;y{QDgmgU9lvak#u#*vEWS|K{pjJr zikuu*NFU~Z?VEQ|PUam1J+nVf0+x~Rp-qRm_wANm5gNWj{%2Z7oy;W>ZW-Co%3gx& z7jKIMP;Bpo;zvR=FSDdxyX@QKL zE0}COhKS(}cpgIQRxc5X9t7Q^m9|iC1%t#85f0OJNgfQMa^+z7E`~H0xq!Vvk=;N3 z1OhHwI_afwSef#wfNZ+d?}q7-*BDg$d;!Q_)|X)mzRf-;drc4}=}_{>iz0;$WyR}a z%*o7SRKhW53Ibx7EQ~Ue>h~cPbx{^p{){suC9!Ysxj)(}eWldP&Ri`j3QLed&miGr z4h=g--9HkMNq_ECn%(Y^-fv2twm-2jT8=v!2m;zvr}rY?ixqk-Q>K*?F-lU1p%MMV zDfGNS*{y~$>87s*UqVgtj(2p-E}d(;nJ9Jf)7+CM^MPZvV4WokZykL26LP8@OcwO{ zbKRq7PxjUY; ziQ>G}Jo&KrneCZb$nRi)A_*2)yfscegy{UV_S{-E2+Mf6g^&Kdz)A%vs-WmglpG>t z_byb9-&U!K5nDg4B`)OAqevydi0Jq>9mwkG(W+GMN5U^mNrH%HRPQ-e#3PqtQ6KID21QrO^D^gnqCVZ-XCv^71ya5UxAO&)| z@=Hpf0NJNK{-4d^G)zRF#wXkN=^$@>5Ne{`S#3yT`-8$Xp2sP&zIv+J2ZSa#Q~vlp z<>e(UfJtr2^orUZqvH>PHzWu9czdT4F8o{m3(`lp+S449px8?P_z|cBN#2fcaQ@Hz z>N8&b@!7lvBeVy3sg2?rDM4qaxtXBocW^uq;-!64!IB@LKth0w!v!?GLPrMw%$>Sp zw#CH#)O$LGC%Oq?`SgQ!7xTNuZIg+M3C*S&j4^GrVxTkIMXb+yUAr?(lIwyuB~4l^6VP)z9!4N3z}f=@{{GOI2x4)ddy zba;Z%LQ^z%;=;~#FLz{&{a1F&qy+Bdh2c`E&1Pg{vz@%DYi;~7&18emKc@-{l4yom z&d!nn1cm{Nd_$7Sg8a%m=0I^9ZRI6=ZH|m-Y$r+N0IWLlxq6|&)@ zZ{IvePCR%i$Otvix$?g+Sl^2Ueyd}5FQ zrn`B8m(}&`<=eiBU46Et;_Pnebs_!bop7OIEDg}=#`VuTGNCm<{A?BMSZFN=$eJzY z*1cp4FFpLplP5Sfmy8uNdOgwJ1ETBHP)-yFjFRB4+R?LrE45n?g8;$9Wrar-3P0>HhudqxC{nz1bSyCPrp@ z1rnRe0hF&)lWvHNh>S#b+p?FBAZWkl?vJA}ZcS9^8nyv#F67V0ZFdU){g9ZyvHiy( zF?HcshNNH}LDJD6HYZfW@7}+5Zeh#5sEX)E|6ad)lV>};{tdUIua31kYB52Yuy`kB zCsKV~Vov+~c=GrA@h2gV6A(U9&N-`Bixf$^WJ?tP=nN_ix+*_SXo zj0nV+SAD}AtgXnezU*#QDPFH)nmH`~EuXoi=isBh!HQ0AvGFfQ$8I(K|6!T80XdlSETl zs|kbPNEiwiU630p#WWL)K3(-uyZUB}X{DH%7O$#0FE7%OlG?GyoUAMm1Me3ts=}f{k-I#+rs8k6?sD5D%icaF}9Iz+FNjP`97rEq}+};<2%#)|?{lE`+n)8t3!5!X*9Fvjq&STWS7z{9VoSd3!5{p2{OgoO# zrIXW0uK{qowqH&b0e8F@O(3n^H%A`#h7AyR!5%b)v3LGg`@YB!C#|%PU_!u&$KD1W zFkDpq5#Hpx-?%yzU0!%;Vj|C6Y*1C1ha5W_GuxE7xOUXbK{Y%F#3LPLmkmE$c1(eo z1CAULcyHYgWB_YAJUDwFoN&`{t%c!OX|U z$0OVhXADwMR%=E(Q@)^RhX;5t_FGw&s~$OY3dt%c8Fm*XhRd1HK_$Tx6y;Y`xcqYG zO0M~rs^~J;+1#i+MIvP42gr+<-#8m9c@cp|Lj33OUs6NP9-^J@Mwr)ysx2ogA$bICKWt@x9O+p|3}3P8>(6hpuF( zFL4v0UeTi2)Y7;^wWxWqw9&4!pvHJjd7DgLG&KoSHY|9TeA|%{_IJOfDs^!|RNWmf zBw=@G*dzo+A31t-gW`+U0Jfw7`^r-%P{jR>_as9XhMZ+Ah;2j-BaMofh#L0@4@g`D z8P-SD97%@6ny)U(;D1qyvQf&o9s1$QyhXB_<_`rFt*&>sxqyN^wTc6sf-u}*zH$cRqvPYxgz4S!1`SX`YXV<}kktf+p(Rn4l z^@s{&V$cN7HNxZS(2=o+^dIO!C_}|s=a~egK=FcmcrWj@j5#4}63smmKY!jvn-4-y zmqqfzTQZI^3h%=Phb(+Js(6{@Jx^xQ5jBFHpWS-DqI~VGV%5$ddwYrCIGpgnqsiKS zaPzAJHjhb7P5JYqdr8d@Pft6p!wb+y_Bq;&=6+O;E)D}Zd-K#cnd%;UB}e`yWq<;R zRS)0ejqm;T?b}gqsojFwnIgoFl{F~{?CZs3jGI-#?$K+v`_=Pvrvn0Z7ZnvPS+XSZ z^)*)?4 zV|tkvc(mxC$A>EGYmeXP92Q!vXylqHwaESFmRl|hojo_o3r#BE4fGz`PVhri4YDtg zi8$o{E-`*p%u^^RI)_KTeKS*CO8U001g-*DFbvs}Gv~uNh|rO-$4y( z!m15hbb1v1Ydp=!LKfrSZ%`8)#lOM2Dy~%5Smw3QXNx|GSkEW1>1TzAwl^Ogzn)^Tq?*b!B324I@|jwg z!vjMm2qK!$!Bm~^;A<5y;-Z&3JTG*;kA3rr7r(V~J&GM)zId`N?^4Jl6ibkmj!gvv z0bHNI0YBd$o~)9GbD#*r+^vjQ|M|-o&y+Xs-aX`xB^S><6JSE! z`9g4+#hray8m3bv_#C(Aa589yc4=w7(Q-{ck@{D5_wGETJpUG+Hcu%;k1k5N-3}ji zrl=kJoDZciKRq1vA25a9M8{i1>{Cx9`s5Mo9W>u4Ug3@Y!A7K=IXO8SC$uIY!9q_DnZa~*`wo>M<3hUVMSezME<%QIDR~Xf;96LFmxaQXsjhk{tB*$<^Tgo;{aka}B~l84rcsU6N1QSC$*SD8WlPKB z_~(m)zOIWoiH!1$_xo)$%gf3{9vGgjmUx@<=ynTQQ9*Wxj{E~ZMWpSmR|E)fBBK9; z$tDOy@qhcyBxC{!wzRV1pYp=5#EF9TFEaCC_YbT#onS$dk!ASf)6+p)`I*=f9(N7G z5zkmd3EaNC+1Pscjd!ddp;;4Vz;Pr z&5WLd+y=w4(kD{8w?B_nu?^h%GbU@jlB$R^MfBvC^6Pe{qDRZhJM-6X+(;94qSX7z zFi0CN>ovlYY z@2lZu79&OcuiuZaY|~0%ciDGdYBAj7zrM242jd#Aw+|tdpF>CB5JaO^Mf9jM=Q4CQ zZHhNS%}A(A1mX~_Pw+TV3sYRCoxIt#byqNvS+jHIb;y1VQYRvWUSI1UsfrU&5O zM}6FxEkT~hLO*(x*YFryjT-2*$`ff@L!PvIC%Obd*PdS;f)uJ`r5Hy_+=8p5GV8$0 zuGfQ(q(0b8t>+tER-~Y#qqEhIsxZ4~agL(C)<9>j2d{)pV1RW5X*Rt2tS>8#%1>Kb zqR0*DBYZzb#<)iPQYpE{bE@1sp!~q#e6gJ^qYgJIh&Czb1$%vrcR1)ew>^%QIQ7?P z=c9sQozF^5WyxpNpEzc15y-^5WRYOxK_#B@5>>PfBS6W`^>Fpr%tYRj+R0)qS#Vbx)Ee2#_+*-tueqbwbb-uLkwca3GK+U=rF{upXE701aIf2OcLRxe?Y=c7 zLDheIvO%lL(uK}4QpQ{T!NEE^XGs#QE(^W>+IK(yU8u+^LB)*A1%=Pcs4WK~yvrim z+PmMkwR!v-bkkR+a>Y_M5}qrPNH_b|Ei|&l;Lub?sCQrs5Z#GV364S0ovL>GR~cJ6 z9z0CZ*A^Wf9x+~iB4+;Md0~YQVrFqR@}h8%V1k{Q^wX#Zd4`aEb-OGRv1ibE{lc(- z^R@U;)juBDc2o-W+!NXj`|2OVXZPjvX9uy2OQV-(ul7FxAwBb6ap940*RF#2c$3QQ z$wqU3`(yt8`jhhQGK|2sFnPiuI%U_p8+0nq%ZY*VrrEyitgL=0f4A=IM7|AgVKx^P zEiBwI{@+TT8h&t#b?@KlYTG3tJ?8{MkfW+Z6xj2k=S2+~y#D;)>B<|Or}k^AdA}Wd z`QGP9iW==o?Y=pfIG26zS^iJBCxnLH#52go2HaXcTC?E6qmiSV@YI@Y9T@Q`DbDr4 zX?Onf>+j}pT>1Ooo3C1N9mGfO))70tCl{Y`E;^B->r8b=UAw|{oBYr zP+57}ko}*qcDxB_%9+gx{bmI!VbU)Yec6g6af*SY0M~b|*pR>N+FLr04~?ShK4MML zu3eJbwyg;bD!eU5+1U`QXW020C?%q$*RS~Kv_elQ-ULMxmK}jb%xfDA$vFCI%=B2< zhU~!yn3?+nS*&aCM=ERsBfFO!-@+m(o+qCFbV=~uG%o$ZLgd1usqC789+{am-=}eV zJ>Eniy^y1O&4piu65&^AS3j*tiQuKcJ-^;)zv0x;uZ4wt+^+M=(!};f0l%90mnpA3|WlQfSO(vyzWVr#hWdYZ&hm{eGc#TUNl{6Kl5qz78tvVN}im; z?SSohv-O?c>nEQ$BCu>Nlnb>NSF9K18K-uFB0O^7fb=!o>KJX%+}1L_@;3lTjAVCh zi;-_XKO^Bv(bw9{XVb0--SR?}l%;4l^Z)y+=C;({SLxlSZEa1WDM~v#R7m_gAY(YE z@(1e_ki1i1NQ;3lyd1xMD@a=%^OZ0E;VY_IhC#fc1=&#xMK|WcDxa)-ax1)+8 zvkk51{Hd3px+nPcd*uE$JwIV|b6ZH=`D4BXh>fU8jrhq-*btGcYJB0fz{XvVZkyBK z4b9CDlQal9a`n%KtNd!4HbvgIRU~dzS$nZt~ie@)+ z)y<+Yo8kTBX5U@bL;iY$cAi;W6)Y3F5d(c@m0T$65u^kt)A)vg6!{4VsJL(vd3=+?E1!71BQJ{t z;HZA|oj*8~Lr`q5#y_sAf4Jk?Bzm*uzIz*5rUUwycJk!4po#X|1$3aByE^fjwZ@0# zp89MWPd@;Tog~EzaTvCr-IG9Lvi?YDjHNC*+m5g^ioU&14~*(fXmG(apa9fi(}mTCE;?ExX$*I$DH6`? z?5_3)!fkr=ezz6U7MFa%TS05xCv>$=%-bEupaH~)SAXI4@6qk*vAQMTKts20A}>DY z)q(F1@ydN(rUy4>ZTNT}sL})G<`ekV^#EX*S6L?P{-t&~i#&k$C6K0nz7=2!mdIrf z4V<0(AxW~ew_l!Af{yevcl>tYyWmK{%c(y7wbnrr9jc+8v(S~cJx+a8Svij=%*o@& z_U?|^5q@tB`{R$t6E6`F|L@$Qb$o;OMn8R7lzq@GBzW?{^pT!y?14RGR^XHjm6RzZ?IJe@tITt(Wxu_9((R$(y1(`z)5>Kyak^l!kum zzqE1_@(K(MFa5Px;c5_Bdqpnx>M`n~ZX+MW6JXg{%=r z4$pYym?C6z@wP`El?}`QOBjw(tCy26LoKpBPQh~vB*WX?U6*iGT=m;Dzh~Iy@SyrI zeks~fo?#f$BHbk+$i(D5sFQYM+9%P*%WJLMMHn+j1W8jYC1T;`Y+mLHygJVnujolX zL9A*TZSlEugslmy_)`-6~pUHaeYp1Sj!7;02H?>(e9Ztk-QzS8uRJXn&x*8{QCEKKXm<+ZD^mC z6*ArGDmx-ZNJB5jw*OTQpiLQ30)SK={CO8L5vYyj3HKac?s>x*@VdLNiVysq4zR<; z)rr`u;F0Rt1NazoJ#d%+YQBMi)%T_a)5iDZ%%!+Zwdr>Njlht&VQ|Y4&0=MVo^OH- z+mT}rK@6p%^@;~BUea@dn zwaULgeg7RJdw%DQzs{+r1y_&u4j=0K`}wo%mTf;oG2Jw2?3B3gfk7mRpNHvX7a z8qLr%YEN8t%P=}YQMiQ2VduVI28YiJX0}73rYwcSj0vj zxh+xI&1*5?rKZ=fx#BC#=Q-~xMLV87UnMbip_#k!Cx1P1@|>mDqVq3mm7J09e~ET_ zcWyobkfwd8B)1R~5}IREH5_-MG9HyvK|xda98-;G_%5T07()C-;k#nEC?gh8OuVEo z4K9>N#2b}}ML5F7CL8$S^@qn`F^~(EYELx1@MSfhjcP;Aj=9NxY~P1>YWIF#LpXEK z^>VHU)~{R-aW7Z>Xlf9;qf#Bv61}KeUF6c&M{`Z~b0XQ|)$K>xy1Ua1Xu5Qs*o4fy zDxs6!KlLRcPJ;pNR#|S_8m?b-|Ci>Qqj%nK+omNhp2~A+0vbiQ!1uR~ce{A7LUoT1 zb^l7^nc2!q~XDdcT8vk53G}hD4B2eDx{(HQqQ>RZEMDa(9 zhpM@!rkc z038XgTTj2t+Pi1ZLT2dP0LYko5c~ij^~aG6`utYgUhWmfe4hWzhBooS4QyJTN%4Pv z2Q53QPX84ZT^+v02GQTzT*WKU>^dkW#l>xP`tKqFw4p8f{{H?b%<_$6HxTwJN1J-ajdK?(q+xUojy;-7wY$}mapdH-ob2Ne*Zoi-j6k07mUV- zI}hd!BKt0#yi@DOoa_CJ+tDA*G83`blL&QM+<_-0!bYX6_@yUXB!kw{oJ zbGNYY8@$h9%>%!rcRcx{>2P|v&>QtpApwyWBPZ0=)GH4vqz}%Xt#_SYL!I2ok8@$c^Q4fRlEurq$etb}UB z%3`xz6R0;sl3L|tb0q;trZc*!M0Pq+8Hqpr{LJa=)f-x<^J#n(k(NUDcR zPLPq!(}L(aE@hDr0@PDjsC9m=j>`tVC!vEuKlc9G{W4!ba1*b@0%_5oD<6!syscLx z8nQF4URl^Tsg`=RU!z_TF#^2BOlXN{(qy1+bduQ?T*w^xeTDhxC%}k_eEDP*!}fc2 zl_#rzKU;&0{)|G8Z52M%!$?B|3V@nK2++`$65Nu$9S$RcWVZA*0~2or`7GR{Ge1sN zXL8C)aKK_JNDy*t337F zGm2&p?@`a(pZmZwz|Gxpr101ed3owqH>{nK?{|%gLu6l*5K_r*gzVYL7NSL{L<^d1$)0da5<*l; zC2ihwp5u7?<2jz=zPpw2`(4*}InU48b?f%O#M#_&@wY5~3QJOmFU)rNK3Ca+ry4dZ z93SI0*9sp#{EZ>`noM8hIWTx$BzZqdo3CKf+O}$E84nV>-{wNGE&TDHU%J`es9(QR zt9HZ-o~chis}t`Bnwt>S6+3xIdb>;sbc!RaHNL4=T-byoDL&>yVzlP9_gK+avdf?o z+>&QF18FwS@WvN+V%+4Dwb*}DmwAw6I3jw@(wls(Qhf-USi_yHV5ZdaJ(OQrd`DtE z2X9Q5XspPy_BU_BZc@W$3}KTt(@WWz=wfcZQ;bt?$gq4<^4}D9=cX-Y#wHyUrf>8K z9|^vJ{TufE-Q#1pI#cTe>S5$*LU7{&SKHEmRT%OR|l5n!;d z%StD8O1|5H;b6DQFsZm!v9jS5Q<{W}Cx2+m)Ag*(NNibHSRg+Mcp9rza=<@#?1YiD z2#Fx55~8?2D9rB1>Z9It9SULqxU&Y~_C_U$V~&@0H21)%UoBE0@a(R4Sb!QB*1Iwn z#c%cuV@7XPe}EE+@P2y5A%#JMa%~Iwn0uPhP(Er&y|gO?!A1;yF-Gh;Wf$+98^ANj z2qcBT-rO8Z*T=410?8AgJz=vxU8z+YGj0Auu!J zGTo)?hs_sGbAi2{FY9h@KyL+33zJj-$OyoE6O+Fp)XF>AP9s#0FF||a^Ql{>m|EHG zenL2D8HBDyGV|oGZ?&LHq4~h@4j%u!jXShe6&b^SEWxvLbHO0^jrawxv4+ixj;h^G zP%;eJT(}iFT=?tq^^Sk?Z3o3_Rcn?yNhR!njv1v=QYn!3Aj8DY0D{LaRI!0RDcTindV>35vLYHPW7Se?p;?2{xO<$PZ){v@##y%NQovST* zVp)&uE0#!ME!qT;73^TN6JInD!2~RD$oFrKO>c70hEo{uvF2|lnHF~ITI3pJxI7%Y zYFG|hO7G_Y+g)PfDf+G}!Ms}Y4WIlK7zd&cQ48^(v`r0V@Dg^&&}(E3%1y+yjL-Z% zCr1O|R42mT%EBDOhr({~g5J`Z*Nuf`WjH{YKfj!7aOVX}&StvQVQb!j;=--$x;$_B zT{-=mS!UVkzxNS##5u}jvqn$<`4ddu^_Cal3SyMdrMTjLLZtMBq1W{dgj-an#QtvqdqGS?ncXTYt*kJqQo0sF@iiIK&)d^LsuM>f?oTw!mOi zh5kM1zS&wL1KX!M=iUqLpO-l{sZ0_ocI4!uu;bJ#cTp7&PH8 zW#f}L=;>l5dL{;{qHtAJopS!1R^QjT>4N|hcggNcY_Pd)PmS8d$~zbM5ae{|XZ#gT zRWtZu9CO$(-n@C!NY3Wiv2v$5%G@Yw!&+B zCfSG#wydMfDo6_Ih+{T-jE1aQV%W@jPq3okF|*CMsQm+=W1!}E+j9UJO`ua#&CK_w z=-89|9_Gm!9R4uBF0q8aOeGr{aT2XFvOB|wCp$}D=VD8WIO8&14q@8?QVz|qq*9!uj&V<>OZ`o+ z1!8+FMfYzJv9reLPxBv^+f^-&$mk%@CVys6`Sp*FH$tFnCVmfb4*P!9NE{0J^K*6Y z85wFV241e+dG#Psk@h3U)ZEOhS9WZ0Fg-sXa-g#sRo`d(O7OjLN!hDg96NTF(dwG? zu5FV(<9vh|wL%&ec>i>1CAdtEO^xWZR?#L3Lc6MKcfUbeEcmaR*xKFrmN}_2n&|1_ zftaV?sV+xqFIv5~HBzJ+Z|98mNzFTW`s#`uxeX0{_GctR+%$ji4#J`Xxn03u7bO-8 zLZt~^(sufuU7~KH%;ew4<#|l)*=}|-6lXFo_V-F(e)Hx;+VEKc5q_`u)erkel1pyf zI5HGq^h=GSk5K#b^%-A6=gYsHigH)o*t7~JALt-Y@tiPER;Lh?W3{^e=jKat3~? z6zN!+ogPsWA-9d!b29YG)o%79c0f^3msc$#^P0|>D!Y2lZGg`(+O{;fq}nd6D*q+- z{mx2(cx_WLH4FCZy~HhReVgQ>en6rU7!U}FZea{PNb2ChA=g^9v%D|P7QTZMxeaZ} z;}blF?aAEtMnB@Wc1sLJG`~ecf!~=kkR1iFH#}zg8Ui&}-B{r0>PvZkn_qpUrQK?$ zD5}oay`1A%~~#2+UEQ1GLmNG08EKfr}e#jNx4)kKNkI- zf#bzz4j``gEQbao&|zJk5a@2s{OpKHV0xs?mjunbbW7{Tr^(?2mZ-~WNBxA>K8@Ay zxifJVeDKqU-O8!D97WiiRG5~7T@<7kCrtc(tdaPqMVf`5RZS;VbKq`^BNhPe2XWmB z+`@3}@f+M`S+?ud1+M9cMdH^4&i~Fn?=?K zQKt22ga4qNLXcH$x{a;##t>Wi(`p2o$9cf}%F z#$X|!|uwde_AJN zbSO2Dkf;jTw?2Y4mZ1gM)Zp(LX*?hcq#e#vpy7}tM&*>9mHDwH^W3Ux3rNR7@ldj1 z_A%Rv`VP`FD(};EPoFa=9G>@>{h2pZ+Nvtp-p__V*a-@)h{OR-Bg@=hmwN#n|<{KbRF8|&eHJ8I)$Zb1hc>ms@pt9HP zmoJ_jLbb=TCaroa0t9fqo-^W&cF-9xOJilnzZ7`igh z;~6JMuwBg#pA2mDu&sGLK7Lx6Jxlf2v6(W1?O|7pkq*G{cyoQk-GvPbB!;HErPwUC zfTQW@ae#nOV1|XfAo%OLZzTM02aczv@$K-BL7nIP@;bB|FEMn%`~)#SbjN!D-~y!A zP+a_OsPSKbXy*L!Z%Br>ijX(A_47Lv1@V$gXL9@M>n6oMQMD=d1YJ7vx zMmQ`&AkefwxCA9^?v0a}d)nr+98wliW^}cDJ>JHIYZXA^xojAVzxsT>MiWxZlE;0 zlZpBWM=tie@4i`NBjm^3!$WM(9wnzELshprn&hPq9U8ro@^3BsHCZ}F&BnyqU@NH6 zSRHCd0h1q?lO0cRaJN^DwvNo zQ)eOnrKSyZgo9tvthjsk<;;@H?PCT5VeLD0d9;jK)r6xqxQ{uKREGlSVMfJ5f6->jYmY0|38w`op_Ff8?O%C7m zpppu&FL86vQmiI(2qv4GS(`m;H&QA*DsP`GJ1*PRi`itm$ojV7t1aTZS(TTW72?^nVYBg%nbO0h1s36 zzjMytv*A$sx2L>89@_xN)~!L=ND#!Fg!-uq|pfrASL6ML%IuhpZ*hCqpb}zr%1nIF6~W+)ZT;H<>{{@_zyE~?yma&#3#p)kdRQy zJ0FF#{CsTBcU*Fpcpq5L5f|5r=!HFkM;FOeCv&uks+%K}cfI6eQU-_$dcSK*I&mhO zOY7?D@bzEkazqqTd4yT$;MHBD>IE8dX&Gms9X(ZTjfK08447}|S;&dWw>@OF!ZXru zQd24C6b0A!%+bOpqbi>_+qZkx3NTs@6y1 zxC2G^M$UDro=iG(*Y~O?9b=5e0qa3E&jcuph?^(Nb=dH_;Ls@zK`gLeauzG#+B;@%O zvBKA{kVqmQ;3=N2U_5Rl=lK$Hx$^n*$K2eo@5XKhGe$;2iM92gkWhFHkT8d#{cLJ# zhiTb0lZwfE?ZOu=XI43!CchNBd>g z+!duU^qrXJfj1N2TI$G|m^ZPOW)w)1N+0vQm&9MI-Qzx~(qho^fiVg!u|l2_oNwwm5!S2l0vzf|T?c%^wS)7h5+8bfMq zSxsO5i(HGkRxFOW9lZ>=zpq-cIy6$a~^@{G8X7!(bRQO6Rf&C za@x=*r@9->oEW%^1}&}_q20}NwkVtC^sWgX_XhUTYZ9G4>cpr05vr-YVU?)eF+wXU zPg$9(p+rZhB~E^&)n|@;OzcQ2x0lP{r-a!r_H5VFO}&d^4aVs_kc{vV9##5o_Wo9g zXyKwT_Z>?K2$y8(sxkG&#mu`nqz!LezphH#7_Xf~zWx388Gag{R<#s~tP=95a~jc( zkma7JagH7T3^)*@3S*$x@wk2a@#EjLR4Bhn$RE@mn#O+y3jR&`$f2$ABUNLnw{@l< z^k3@EBSQQ&mJ%AXvE_TyhF4c+mR|=9Vaz8FshdbBu3&~}Zs^2?u9+pa$Y%VXTc|#u zklOxkR0Kz`(KVSZ{mM zs2hy3KqWo*X8wD`j!fONbYI0oyLTTtbm+h(lLv1`0`3WhS*Bk9j%`{@( z`KSs!pYUr*>j;u~@1r1=)9RzRlY^8PzOFpcNS1GxF0{REb8mR1?&W?B|k zbSOD`>+Pe~6h0R|_1B%^S5u0f&Yoj}L?djY>$s;y_){#kG^$&c6fb$wDJH3u+%fOk zQIn1MO$QkBz@4Ry5%Aci&@fhs|1XxLAAcq{5et6{c%dpi+Gb|1K z^dF{B4DQ>`v<_7McmlTnojnX?fL+%K+o5fYHs7u>M2RkKTCN}4HVKzBDwq*@`RbrQ z7`~zC&p&V~hZ={`umXa#K;I>*gFFj~Q(fqf+5%tl5QOZA!N5WSo0c%4OGt87fue%J z@W?!8AM#N+?j1z+U^uYd*MyJ(_wbPn$rfV&hLZa~77QWpj)TR!}{pa9{$q3In_hS zbOfMRpL&-YY(Wu-4txc*U*U5+y9D~8BDVocDrH9shfxZ;?E&v3O_55^NNJBc)TZug zYHPAuKofG8KosMc_t7#Fa?kn--f-?a&sdH5cE*aduOV>Igb9()cd*P~>f?1_78O1; z5U|bvAmbR7*nMd9V_@VBCE^e|p2STc6i7^VeO*^Pj4XKqi={ic4L@+K{!Fioxv~r# z$tg~DxL%{5LXp!P^|C-#fiWvHOLB^C6t5Mn?wzF}Z;QJu&+Pm?t39}Ez_5Ju=(Y1A z&YvIOzL%x~bVIN`NN~0%=|YjyGUhX!umr2)SPt@?Nj5p1VQ@8nW)w|`&rN9mc{5b-883a_rF5z9}6s?rQVpJ zz2AJBt%*#-wJAdV8sI-}TE-QlbmKMG;xLv~!iW(4?4_Fb)JrZS&pk|wB;Lz)`xm^G z`;>R48=;&On2Q%MEki`_~g}w<`rMz~5(Tl$_*{H8cZc_P@_~Nv_TW z*h)!AJOUO0vYYQoe~AV|jJXhQ+saDuC;=Ni2NMHxaLK)Uf7=dE)fyuN7gF&b~sAu^ZI!*P%ogg8pH z6A;vScM-4ig;yw=4_^)&JqIBYGKch88Oo^Q;$qAeP?Hq2{+^HDG&VGJwpCju>{)QY z-jlT>s$O&3fAbOxeyjuolYz{YQ}@B9G2tB?7yx+yc88HW%%T<)9$&fqSZA4ZJ?Nb* zWj*g9cErDaEUfR2^)2ix6?Y~vl@uf-yN z?vis@C6hFM_hTUr7pFE8iIYriM+TZQO`wq%j<_Zi9rO4^#!gkrS4I3Jx;#r6c;|kJ z`R^;(Y#vuJs#&{Ub}{|HxjhtJ2>T%=9g{XQ*wpWlFpf?$0lqS+52_~ zb3DEFI)&o#p31A0UBRL$w^Y3{4det1_qT+#-Xd}00@t`Fl}Ri4RP*%>*<+~(VvQE*zhz#(gTMruEO_{Yal z7_YrUe&N+<5^!zrd-LWABY%GV7A~omX69qnPBGNDc)sqK2ZP8PNzPOW_;A;hwpYve z)05wy_8n%SCLg>yt z$W7Ro+qh#-aB_u`#*DMwa$Xs&_0b>1x&Gj``-y!DXM_=YWd?8HLC*}!!EIW`3Wpws zO*o(5h?qht6y6Kt#sa4FYCG25s%4;x?3=eUoz=PZK zMh(&Q2}?!qYACp%>mPm=SDY-@Eko$KQw(k;$G$sYGhlNY5y5<8@Ryck#XR3tBo`qj zAf?ny+@;!5jl`?%zj%+IX3Se!QnG`{A(wAR%Ib(q)hjh)(vhv7sO? zU*zbJY*s@bVd*iq$Q`wNybG(WpBp33%>M||FL+@uZE0@KraPQMj}gnrS8#d0cr3u* z|J%23uLieu5uEG-Zyv8>ppOBvB?-17FC8WaMZu%6gH5%;dSKJwKXC-q6Wz{$#GY7EbWliH!cnjRO+3~5`0-TlzRN9XvChxE>vr+1%N-OrN@;ow=19ZX zCrjB6cSg^g@q=M9>MrEEP<%AUu$Ac{r-P2HX6@8xOq4NceaSV!I~mdBoSii|RgJpo zNu?gvL{_r!MWS`Zjwt_aC*q|g_>$Jofm&Tt3>AyBjBYZ8HVJX~*|RLC75L(_lgDo^ zc;z@0rlr-h8S$pi&hJBI_Pu$uMH(`|fNLUAZ)GC{PD6zunkF5!No#M4elkVZR8~9r zXV_j*Ln5m-F;$|L;FMv|dztNSblYULr35y<=H`HT5O$>NKV3m6-7cN1m8}h~b))*0 zFI64%h#Iff=$}l5h$pIGjpSzt^U`)(Kgm`C7h1mzF%CRMTfsuvk z-4JjWP>b!;;A&eMwvP+M`s*`*K`@Pz1zQCK1c1Onmb1es=JBEUcc<&8`BX!L;W>wK ztm%LTM`_euN+$>hFeDfv*lW~k%Y~e~M=XF=gPg%Gex2j<{e{fDUs)>1-f*x{bFs(X`1ZA-E7P@%gljY#heX>3F|6fCT#GBg$62PU9V zAgRs9#W`dR%q@KQ)Cwg?g*{caxKKz%rSb8t4fHR!uX?x_w4a$K zeQmC?81$RHd+g;5O|DUNagBfirhT%qlG%(~=XCZin=9848Evpn?&^M7rF4DyJUpXv zv@hgxDktyJIEfu;9d0CcbsugbtHV9ZF6%Re&mkie))?|gb#}M5;Ef+Ft`zvT4ugFM z5`-aorNz}$dJU#J+4^y**D9@L`8H`a&-wW(N^vqLPPz&szz%M07ptq%4o``$xn&-2 z_0CkLWZiRo${OY11_BS3;^^FIqdVmCySM*&yB1H}?=9&ku23pUOW7ztkx%IEPF8tB z&S8ZNTA~xy4W9Ow*mEy!kx-@ejgMmz-Gdom*HtBWV^Od5rMfm`Y8;%BLbDV||ZG(6j4HR17A zUd+S>Wv!l`UX!LQPyFAZ(7(rYbvrQnMc7c?>2dJkHqZeNS6JQ_p8lvPj_DLX2SfP)NJC{M=jG?%U;~HU z4G|ai`2extC{{jra2eM9=N%ofElv=w@7{XohwO?WSG=>^!k3SST5`&^-M-b;-OW%M z-860-FUTxV305Jp3M2k(PlmfJ=Xo;@;kvd>iJF>f_G_m%70Iw@?6@(Ay$D{x(P=O= zP83L`=;PEi69;Y|8x8(=Z9qr8y}b>+KcVg7wJNefxaQ)6v1a?^8M!d2VzsnA_O%ra zT*;gn4jwrXQrMj0;Dy_G(K*1jZSQ55EF=$GTFx&2cKRZBlY7?0qw=YrM3>B%l2V^L zVV7$wi@+a^?vuvmgQ`M>?gHSw6(davppw(CAIKoQ9;;hWo3Jr3VIuwqTm!?N=VPK4f^y1aHVgTEqI1RrO+2y+R%j)pMPe0|JpFDI3 z_5Q=!$7cb}l>qkPNR6))$;q>6uP)Ojg7CWJR_-8wvJg@4t+BdKli2{z;=bW$n9WwS%X16T%5jJtLg(9&B!fc)&!P30wn48&{vC#?q4K5txVhGYl zW&k#KZ_B2ZR?yO+sKmF$BXb|Vc|Y6>TWtL|lBF0H%tt|AkS)LzwK{gX;24#6zq$G1 zf|+>+BMlD6p6C+HZgBOPAnsYDeRuA`_?CCy=Z7@J-v>T~()J}xQ~|@Dt8Y^~oTZ<{ z3SAoX#6#(`0dh+GSl`YjO#Z~A6-c@!BMz zNe0-HWpfxI94R#!^Pz9(H88(x-?xRl!+KS*zx+FxK9F2`@*iCcKXoCVpwUIc3qzY6@w6V3V2}qCOs& z0~$$H2+T|TB|Ds-yUQXvGb;z+g!7M2h@?<>)?MzI`Eo}hJyKxfq~AtX-O|)P>dwp# ztdbEuV{v2WGfgUq*-1ZW$2kUrPOmhTq6<7^9(gVOfnv0N_k?d+ENg!GgV#ONH4kjO zB{L%}v$|Zdm{QH@aF&6fFxu#s%GUbU>PiAidQ z>p8`%`l9igBC-bayquTYHgQJ7Dw^K$meZHK1$jW>VLgllDDi?G=UUJ7N}~|p`qx$5 zHc;7NQ)oo(X0QJ;_kd$I7eCk+`G=NQNrvro>9h`xta_7*M<^1Ec>^Af0T;BupKmzx z>=^^^fiCq3BQU}0flpDFD+}ArzP>&vs>+D1_>s0vR@}I?M^bF%(S|ZJz5`*PgkQ}Y zoGx~Uy-RpZjA~m%Z3tfZI!8V4K=XR$eHuw6T{-*NV$T9+@Gob7;l+l@l6-*#SIo_m z3qFoKzA#a|6aFIc*-}{T%%eBC`Z*Ri+<*Ui^X~QQOv90FqXQoS2saz-E+_&2;fK}N zk)wv`wwTwi);ui9Kk%R8-+8ppPr>90vt^19LY4Xc?#8JjlJ(aX15oxm=sN}nKWb_3-e(-iDjr zw2Mv07YnspX2=9WNC*Mp?s~*1BZ|ngR0Ni!>tVqoOHR=(#Z1%d03zjW+GC7Q7INXS zg9=(SZOogSH4>-!$1m4(Y92j8W9EA1igt-X86GfBwulHPX4wxvgF_@U0iDE-0#I8L zN5sq1a%7qTSkb~dOAlUy7^J93__3QO`-&Q|x5m+mlCIxmWG&6x>O*GR?uk^2Vh;s_ z)OOtqtQ=GIHii_QKG_XlH$f8O`X5KirD6|d$-?V4AnV9L=E1kPq9~Z;LJ}`1|9UQp zzUIlgEp)tD{vu1VdouOXsL0orr|P9r{M(;SVE%0Z4B^w1jwx2*)JrXJUO15W)J!NH zj0`snBJ`et;AvA~6n5s@_+|fTzZCaxodmng9w62oJ@9T@C zM5#~QIzA5E-R-KXa%$!8_LT4^PdX(Z-t46of8GCD-Sz*q04pVJNxLS$sM{ZkB+fQ9 zHKCqCLe3ez(}eTZkSQ2dm>tR7!{Sy0vjJnwQs+7CKXUZJMS$sm6T<`e=!VhddtFQ#srH_MX~A^MOJSRrNT ziv}=I#GEl22!*<3vXf_B@;kPV*L^6!?(D>lSAspg5Pb-=kY+L+(l<3lx?J~t(=}Y3 z$-9667H2#iZN5w@XbU22TzaJ0Hak@4mja>3}QgJww_J+Sv=&+Cl4QGfUy; zj{QuhkBt@JqCD~Frvy3i>XW8h#mP~4LSaGByk&9np0#A0D9<`#Q)Hb_;p2;)8GB^1 z7YKfqy>pMFPP-et{}L3eY}fpbUoF`r_oM&mIwJ~#rW-}IOhwa*sMhu&kydtivqep# zbnZgDo<*B*%E}^^@8f@bf?GidH9&<~oP$+HEJ*w*_msU6;{N$*K zU)V6AD_{Sg@oWdbvt;IOUd{w|4dh8$onuQc4-XI%eWrR@LQ<@6?t7o5M7G`pbGW4h zt@(q$XyoJrGm$l4xCnH|Y7+Gb9z5j&l>^Ed`lSSR4Om^;CXsg~o{n%TYB!SGL@6;J}=9_lqk1qII7_Qtaw zFF!!X)#&6IS2l->lp*4WEA|Mo$S-`&H{spP6$79t4ATs(XCqQ{8L~NN?|An-xxaa&>`MaYekYg*h;c~%0rS)yd%IEz74Att>7p+BO0^mVP8(k**#r;#G zCjf^7Zi}Rrj8v}jtLG~#7{A1FyF#F7W6%#E@K@z{-QJ;bZOWr30ZTQ zodK9(NFg==@lwIc|&T{okHQ7l{ZEeWBBluvCXt?N7+6=}{%rtE!29_^Rb9f9KG*^2fIjSz}v^VLX!(7ta}csd=fJ zB)vFuYccxO4L1h^m{X-mSM*AweZl=jV2fXa?wDBT#~;s%jj0CzKEykc$_C~hg*2K} zu->z)R~Oz8&AdiM?GjTqQa&$rPUrOXf)@2Ww2Q^3w@TNR35HOe%bow@>@XQBg~JCFw)O#o@}&m;2!Lqa$`fouPa{p#n;^_xBv~4 z&Imc9n1AhkkVEXEhWsZo*I^;v!I!V5msVh=iumTET!6qdDF22htZ)6`b=);`@_0yS z3lC>>w5~&uj_i$!im-242BNhctUYE{R{VJv@kiXh&sT9P{K9_+LQlB3>?}yCmUsxz z-!A|lUcTy=JtZsfdHiQ*&Ij=a-SDl+%E|^8nGO1HHBa6cc2H~JTT_#&NXpwncbV+q z&ySbw)l*zXnwy*b75)P6Wj^%sj>O6B+cvN=W1_IedTqQAhHrZX64>^dRE<9Noz#X* zaVQkq*)C5{b$K#XP4CDN7amL;Fr5YsumQVus4xtA44*{rygx?-i9llvY@B5}roRR${`+^~^9{2~R87eD zt>L&p+rgjNspQiA{$^!I+36UY#Q&aLym0(DYSTj%iIJiC3S7j2jDxF&2g7o_1L@!aY zQ+M-HbTQnwFgF*wqDSmNjArS9+%e^+a@oc29Ah&PYO0Y)>MZrEcUI)m7(gC& zk%u}p?A(69wv}R65L`>Vdf1YWOBuGIMD1)F$)m=yTEY^$vDN1~ir%f|vR-LK<)yN@ zu;}y;MHoGTt_Qvaje!Z#rdD@^~zpmF9E$921-ykj(${6 z(Wx+wdFmjOe_-}IM42;7YAIc9(voqmHC8m2=GUxmw~Jg_`+WRw$j zvs0AJ&Y2haOD;h*kV|HV{-`>YRC}(7>Un^_F<@?|%l-bj59@ffRv7s|Tt3I|TS`E` zVO!(8PKeKb-K&uiv9u0OSCQ36yCvQ>QRDdhufo!9d|LX0ic07U*L{lJHj-x*#+cmi z5_Jrl&9D|k{L#siyXn$9cI*gO1@nI;dfe09o$0^;R#ctOpEqgM*3~T!S3BX_sJ4-G zvkG)}2BpdA{OQY)LI%4g_eMFt6$v?^uv+?`&P5IUVgY9kirqjJP)y1@1B1CvZY7+Q zd=M5Xlw#@id+qiYdGfU%DCHp2GBBt)MAmgQjbLTQ%=-u>HFSMsc-fqfoJ3}4QOU^A z(C4LdSd-!B1u2rE;95NtnH$(6q5iL~Hm2~jr0ELASy-4GEZ@Olj%m6oF^baRF56(= z%p4)K5O@K~(R6Cw0~$?jp`DU1il&o}2)`5NM*grbTtWhhNB z-JM?KBbVP1w*4)3Gq_8Cvt)aLe-R-hE3hGPQXw)NRa~(I-}>ijf0Y~cN}o^rsjF*p zM33lemk$(ixFKX%Gj7+eU6}EjiELb_#khk*7D!sgSRb)RHgDnh_U-%1pAaZAYDchG zwz4%ZHKN*^SeBZEyI(YSDb*_#F|7zvmZ*RxZ%`yE|0U*nCe@Ap1(3i*)xfk`CG-@+RHB?vE|>+U_` zH3+#=l~@-cP5Ne^HSZ%wqKWMhbNG6$psmE>MyW}~z#MtowhhQes_K~x+$4f9UxfdR zJUlB!m)^WN{d}Zwx`-7`&64kSOy@Md6#g#9sLp;P-`>c@6=Ma7&Pa0i?%xl6N!@o1 zY0x>bGLJt9VwZpZt$)+P7tEG1fd$HN$bs|&gd08^07MW*7#SJKRyST7+-$bSkwW=h4{0mEeESfk@|eVIam4fi)UgF~|pHHKq&2*P-OZC4fJ-fa?RT zq_3!`h@pzRk5%FVQMpvAvPrCqHf)SN+!D-kfsc`}c2wDCI#WS|} z!_G1eBz)F_zrR;Owqw@hRDSG*VA2dc^NJyV9w02%>OK~Vs}$CYts?wawzz$KQ|h6x zF@B5SKCTFk=%=RV?Q!Fss9N5BkmI000=T`fw7{#)&Ba^}dTF2Rt${g)F08dxJIW<5 zZIk`sb&WeW#^X2j%xsEpQFtuL7q7l?a(Sis)Fl_Ik`Z_?#wLhID2}oIj*cQ^uFNY} zBy6APBSxqQX#MW%x9(->f3dt-RrUF2>?RF5-L@d$;?L%_falD;eJhmNxkpT_qOuZX zX#)L$jihn`caVo@T1VM{Tq|z>FV3kioSQR%1T$*unf9}9Cd6!8JB>Vc@q)E-S6qhm z74my#gx9`smZ>Le4G?sYb(Y;ZjjX*GIt+3}M(E|;6>pnW!0=_6p%nac5rjWg=`0=5 zG<(0UnkTCE_CC@iLXLh}e}BIZ<8Ht}M7=00C&$q$5D7joS^(Y7=z%y;eHl^BD$Mrp zAN0$<{M=Lm*>7wY4;eLHZUdjM;L|>^8#p4U!D+?ROCzDjhISn~!1xvT>N#8R{ugpe z@tAW$M%;phLOuFw3{}6On#Q*X(A^>;Gs(3be;y;D06o`gL{VwgrdW8SC&D^smT<5k zm?HY?7wCxV=gM;1%|1x2KWQe^G~tE?9l-O@RGFIM3{5T`IeeHtv53VU5LE&Kj9VR; zT67J%sg1t|tGpk7e}!EK5?;Ly{Pu8jD@yOKS=ghpx`Kt^x>Cs81|BYK55Du)XxU*{ zm_YYBH<^Ik4)>Mk>8!%)L}%#m;TjL)&elo>zTw;V?`!JMw;evz`2E&tq^nq4$NAMm zcMYBOF2!pS5qM!35izW*JzfVM!id5kwAmM~ZkKDzuuYR+V2b`6_z*2qsmWaL+qcj@iSF8k{v&a+ z+5S#r<90n}n!}HUHy6>0!nXj7euU6VPt4)$E_Ur7%2N{}Mo<3sD%o+=4pqPVfr|lb zd>pL6^s0n>LPAFP+cOCn6&)R#B1Km^p_oc6W)u)6C4>Kc3=EaF96nBF-Af`+Gq-ZZ z1h7YHiY}dh>{y*epFjp!zTx3%KcTuD;f^oWd(%zC(m|>gHL19wE-ED@Rc9#?Qgznd zoyyC(a#1+}YXnI0mmUi=$eTbUF3_VVrD0jZ;0>o zB@dSkOm)n8$>d9lOJ*D?H8tGTSpzRDC|cGDqJjwxdENM%J{fZ$v`J>pS1C`S1=lYhY1G_teDpso5WX9bHLe<7aIoUD`OwzZ zD&!qrIb-+J)|Z&&rgDTS3rgouM61}(5ee+bn6M&#!qtWw05Q0URXx)0+23COo1!DnX zGT!LBBWia}S?KETalCRMcL`j!ZFtCy#EDJH$CKI^%&?Kew21;-nm?h0UCI9(T<*|H z;EH>K#UZ9`%z+{iLX%ETr;%j?8LMj9Cn#O5svTS4%!!};`Ez(!3V|=EisbbFD361j zYi?qKBZWDz1VTiWUwuho6D!Bg);Rg!Rc-dUoT%>q!nuawg6HS&m|2?hKaY7fgjP@9 z0O8Q*)P{MPL`smufN0&&ddEr-M~&Ak&(F>dBiYmE9A1Ufb)(JaMTi^-1c!1pR#V;h zB74YWBchj)+<~kUcTT)l_-+|49_+2Cd-fQlOu>CN=Dp1C(fg18A09W% zJ=~Ty#TU=oX(>JFeqbp?Yz6ua%1iblymHU`YU3D7i30)zP*>-_tDn{tNtxZi4x5+B4Z`K-Nx!57 z`L`pa?FEQX#B2Qhe1)09v>!Kj(&YqsJSC;C+#$cvF2P_Bb3|4(=NkSjaqyG2a9q>v zcRUbzO#MJE3NW5*Q2p8e{0mY<1Zumt%b9u<|Bi~u@!cKca3!dJH59zd30KQ&z|U0`!E98;g2eUnt8<7?CSFp>e_$s zoe7XgI;AF__Zq@vML0|>PDrNfH zt>|KZd*b-<(f-mSN0(V+H~}rch-yVHF)1N|5xx##$N5M&8fL(uX@KY&=CH%5Q#gh( z!FNNiS$Os=s%>(mYW0_t&b&O?Fd*PNWVrgGrpg857*%7j z2crA>!#lT3j$yxsKguWHwRVM}Wj%6aJ-~#c9}!Ut9RPkz|Bl_Vz!tR6>p&Y%>~C1= z(Ou)4Vl92e2=l}!1;a&Qrc|`D`2E<2v8s^|`8xXe;27ARx7Vq4NGwx6wBiBHufEXp z)%f^fBCF+X5PdX@jI1U2?$}jSRjr*&pDYNmwldyZ`$X9w_2}wyC{`W0U9|PAF%1t( z`evccME;$do7;h0Tzkh+)}dH>38@<>C$ll&$m>=OF@ypbcoR9GIqb0 zhkA2xjvDv%!bOhwEB|?sk`BqrUbDCnA0MwJVtnpg_KEVrxx1?KVONs@UoBD0?cijM zz`8|Rj+(A_sYEZvl?%Z(LX++;bJSCz~B&kh9 zo}A;VDZ+f0PdIBLIOJ+^;kKQ)exoR99T9w6)QBc`HXD>);fx;f3X~&vi@Evw`U3P~ zBUykvOy74=Sp0Q3V+I)&34a#qp=fn!3{SJs=?@QQq30a&;)w-z@YkP^TiQ<2v)BS) z$XdVl&Lj#k60Ks;6Wp~fMJBT}q)?@We|jtS`v>osR*Dg;13~XpRsyP=@+NLvG>PA9 z&sol#wq_1jts3f_@{=2bG7_iSO8*h5F^It-i4sk_h*MnU znck+f*4#uUE!??22rSsa%ZXr(wcCS@P>zAfGkk%04VTpU;&L~4dwcW_oYC*r zcV0#TGC1fWO+q7=)HeU|Bj)^k@jDB87y&1bik~{(Gm-x=8ChUvX8z&se>MkxqlPjw zH^=ZYm7)T-8Rm}A)wZT}u&m{VKO6z#7%X9+|1LGP^hgFZ{W(2``@-u_;1S|qp)G;2 zpRus7S&EH~-MrfZU&)0U+KaDise`g7fxsC zDaG1R+SwmTR|+boe6grvD{w*XGww6ovcuHgov?r58@0X_`0HHxz#L}sB7$4;zCARd z@`f8xNt|k1D;8N9jf)I_Vie9zIi3V%TK zEk>#;s~SETAw;a>$wYodLd&0UCI~C&LJ}B%%O&C^KkiY1&@wZEv-oCC_Rh}dFI*9y ziMl;lS@P`?n#1SQWgWa-y@bv}@)h7S*D+7{$YkHWMEv4Q*4Yk3A0nR1n-;C9yy9lh z@u{HdGZU}3xouq^LH&)Z05+CEhQ~ltD zYoxGZq3G{mVl;sI}X7K!RlUQeG z=P5W87;8fCQLc12Gv@7>7JfV(3O*6?ys$7#p_~IWQ%r#)ioL8~i41F?;OspRb*AiJ%#`a7N=n zV2b{5B`BlImGPLXKNe3ZBpZrs%+xEDiDjMkc_f%*CdyKOs%q$l5tU6{ zIED_rpJ#d;G2TJ{LSJ!i*NM^83&lw`-!1 zggzxbvWpPHuJ>Q@@h~Cc1hRp$ejd4Tz(xo^?g<^rh14|qw4Z^tQx2ZRsc)Uw=kUeL zZ%itoT3egEsJT2eA1!tR66t95l%AQxhZn39EK2$`pB8}+dilSPu4%CjSrZc}h+Y$T zh?R%uz3%Hbaz}cNz^FZDYI@uh0p4Ncy%#B53j;wU3u_DZ{{LhRI;Ukw+gwPZ+4{`W zQPVykvR-(;A?N5@PJ?}@!WAXAywQSv2R(-agMmA{#wy*UB2K#`?CMqm4G)zMqB=*n z5ZH}*%_|0{H*W^_6Z$*+Iy3VEx8}hdeVCwdK7I`R{r4Y!e_R}Aki6s^9(b04`JQ@FSnq{j z?7biS6AWs*4W&l*<>h@1g2F-JA{Uv(-b~|9*E%PrYs=h(nq4=NaXPKO%Q(JJlK8X- zsnb|Pj#-=GA^}SX*tHV~h##2KNqvN(`{IeJD52{%pD<4Gmm_0v+~HaaTG}GaLi7Lq zXPvG$I68U(NBU=Q0s%~WIsY9K9c*i;ihUq|kFR_>i@x`P?|Z-cxywmt0l@C#YmH*; zm7rpOxbwaVexyq)5Ys(&mN91vLgO)lINIUi_Q@}dOjX7XOfC_pcp7Ep)$!BYW@p11 z^Yls?u!M`hf8at{Q@9K~9GU&-(G?%WMjtwRTT|rAN-#z%LVoYRpLePrMoRs<2(*_t z>z;%_Q?(;i@QC*RYXNrbXiMBKwMT4YtR{Mn;f8=4&4pVySOd3Pi4=ApFYX+}s-&ipmPJ5KLIA z9(|2-3YIuJW5tT-S}<)F(Xkfc8$OGjE9NbwCPma=^(u?mV?V|($u7+c#V~$qug>ae zGfeWZr{s3A$3D^&k>7bR#@xonOD20Ic!BqUMoAxQWV5Ag+|mkx9`yJ`w7RiR^wkq$ zoi2XSCUeWb;c{OmtP@uFpHra9mWw3q(*=uJm#EWlaP zB-Oz62k$hUWekRkdN_Ln{SbkW-1s%NL8IZR?VS4v&2k3 z);>+q)gC~?@g81|erJWu5&%rTNDC$%0faDB+78p2)DA#r3X^XQ%{x|KZ=2l68IAAy zv@~X5Nc0NZkBSB)xQYt&_Ob>VIpjEa-9sgF%`45OEpDhwV!tDqc?f;KdF8uQ$ICIL zsrdV@tLnk755w$&p0o8f1Uhna8+#5LpA&3lDXFm(NdfOs0X)-p|2~>u(V_AhKki#^BbXG^ISJDVWO61&MiN#vlzhWg zxFWHU`32G-vT7NzNn%4U>5U<%(6MpAnh|w|527&eyg|PI2*F9+O3OCsdg=OQf{2Vh z)1y=ub}CNu+0oEnrdcXy>TMVnqNma8VLD~%-_Fl3X6f{sMXkc@R}%|&7D3ym7@tmb z{^kVj(f|I-sInB!>{R(RTk_`38~i!M1$!_ju=K+e&3-#G=?wNy*qFG;WaCwU1RL$z zMXQaQIAcJi-2gH4fn4yh@XhqUetlV}eQIh73Q;7OqOKes9%h8Jg1bd-i;0O@1<&N= z(9rtmr}%>y0+#$k$0$6=znj8edz1co2J;gb056~z{*R_F0f)M6-?k+rO`3$nBx#al zOZF}Mz9l5tLLQYQB>NhYY$4f_kc1FINJ5g3goGr7B4i8SIq(1Yp5r~G!#3UROX|h;y!^z6}upt~i<|++V=LiOqQZ`yqwE zyI&o#{azk=iRwaz7t1AP%!(hOqs~0;Et@_WALQszaeqv96k&V85HW{?PX71&dC|l; z^2-_x87gEsV~~;-uQk$Q$Iee+xY_iLCUxSn-j1F2J}y8_@x{jQg&z(T3&4li*qw!X zx!umWrL+LPKg_}bZ_+Xb-PU`DQnl=zdE<(|s5Au%O{Z{&`5~%Q*8$b>@5bgYC2hN> z=$*!rNmV!GzdSnv^a`H~243iSu3|`&yp5Qg@sGq;&k(9El+7MnK<( z)Ep-ZG69WDBRi`ta-Q{RDIMZXY71?IRc0Rp9XXN}ob=?p`1Y4Qz*yi_P~j!29u`oL zm6er}vMDihkw`Tl(=|TER|)SbgP$z7XVn)=p?g|6ip7y_V*u_#l@a`8P5gmSJBA>g(>j}VWg2mmBaYIs4$EZ@+I#m#oZw|>6TW`$ zYlY{r@J4fxOsa-wD%N9sy}sX;`Tfp86q{t(;H6EVHE6vL4-2Don!#HT%+wEUI0E#m zDRGvq{{3@1g@{xgQwfQ!_LS2eBUP%-qhs1nw%ILO6`e?JN3c+L%sl}5U{fLdIMvf* z4T*(3_Qc1NT7k2kcxmVi)4uq8b=7-XJ6TZSyJ$LE*LqVJHXU3d@ zGy5%~809^GeK8Y!?!UPK5d{2*VK&^}6Z@mpXlJMEhan{52~Z=X0;x1Mj#tZGdDVDV zm2mgG6ocDveIP_Z=g|bQC8)#SS(HvXGPLLFKQI3H6x0ElXpzaQT3qWxqa2KLyOSuJV!6dWCVEJ;RCtvnx$1^u<{%Az=OPl*uMSNs8lv7Q zjY?jUNJXy~Me*G0lk^4GjK)?2KIhK5*Puj84hwhTUbl7?&RzE{tmOUP$r zAnSPx4%|1R=*B}d8^(4hQ8nGrL(3LL&CJdm8lp_?wD?Rg$cDY~L#RIM!f{s!0~uha z<38|KNz8=4c}@rPfPDZbRFn@&*i-ZnrF-VWg)3J?8ifI0LYadP1l5MPC>OnFlOR|^ z{rF>@Ad(92PMuTmGNu(fiCdVOI+R~)v#h}}*$a)00ZrQ;{SNG%=sql)(%ikXLvbkg-kVx~9BL+9R zf)IfL!Te76BA8JP_*|O9X3Xpy@kD4QB=Wq(gRwY^P4#>2@szRnwcS|u< zFBf>e%niNLRwu38Zj4MAu?`CeV8#f4@d68NyTd$AZsctMHv;g5*eiYg9SH`sw6s`R zFt^oywVs%oNxOf)W@B{i%mcB4SOWtlpwTnt=2FLxm*Y9c?EyR#vPnv2 z%jr{vvP+gkRa^m$Ss(tKhdhhJ>pbq|{uk1du(G;tNWDBV6kxSqjFghraV5vYRyxuMF&{q=MBzV+YZ3^n4ot%e_h zj@q@=RSc&OjV}Bzjh_5=OK}3}CQ-9rUA_6u8~i2>){2HKX}JusWXOQJFVNXYk++Wd zy?;UXN=~<1ux)mQo%{vfced%*uCf^&C}m&vkxyvraT31}_kGR_leudHFweX^kOa}U zZV^LHD`r?_cLvOg908A`(>d(IS1eUXi2ur_sen zVjNip>`_f-cSlBj?w)UW(lNecxKeR{5^dR(NA+QWjuF>K^WZMO0PyoacTOmEy}&b` z#DHnrDBoVx9C`@EaJ%o?+_m?8KT>&i@JOvv($QCSf%>DRkd!1ab~yto5GWhenfK z=i4THU_fZ0#P)<4gl5>Y|DaH67=WO9KYMmx+cTWG!$mjVs&^_#qHo1s zlpVVuEQ=tfQ1c7@mHI$M$Hj}s&j@-{ucM9xMkQdmwY9#-5O;wCRWEny*Dp$aJ#Z0J zuS?5Ff5o>FWpy0PVVHMnXRC)0djb_dRG5b#luR=deEQ@Gbo>;_9GNJZqVqR47IwG8 zDLO*tFHD{q{9E$hTspZ!j!qy6tOn&hL}}((;0B2r7-)U}eEGY!j^FzaqIs>!GZ{VH z8wv*T$ajbx*&p9YlI0_ci%vM~4In4@87lW+_!*tw$I=WC z8MB8~(bn17gqUqYlI+YtHo|P$*`gYph~FfGNC;M!PQxQ1Uj#%_XwR18b7tZK@vWHJ z1u=tUTgBwo)L06#-H=Up;lC)#S9>`&`B)A7WPAf( z`jLr0fBj<9=7WQNb22rpoTG4Pd>;pg4F|o2x$8~n)}S}K^=J}`)}vf3y`Mgz&6?t- z%IKgp*cj!z<2VIygRtnFF3gnjSUwSpU5wPwI6lvreqbcOUrY%>y*s$@;)V3EXZ;0h z!~y9VpS#Zz3#Z8O6DRh(OT!`JhY$_6J$ts&1g`zA8?r62gc^Y~*VtT)ATr&OJ-~Z z%YUpvi>cAKrL_#NZ;S@D5Ipq5(QhUQ_76|uxy{wys69fWsqJvzA?Ym@tHJ4_UI+=6 z^K;X&V(>D2s}H2@z&95G$Qpe8NX~mWZw#$j z2_@YCZ>+=LjTenVqM@}>9|7-V}A^w z4Uf%{QSUaJ-ONvLiy@Umw;O^PE;`0=Wy#y6 zf^m9|II!D=EtyAQyI*DAW#YpO<&rfsf?T^M%apV7o<60H;v%ZT6~o8M!LxVQu;iWp z42eA#%58&^-KtQ!(LKrc+7>7ZKZBw&dlrTvr8U+$1w zAgD;@c2i^w7;I>KKe|XLEPh0}E^q;4TTpU}@D>(pFM6+I9$?~gPSNogxLDC}8T%Xt z+p3Ef=O1<%tA_MAFCuP;9Qk7A`M@o;QMegIm~Y@vb$pjxf*nt`Q5LRF=u@hIZfeF+ zjKdu=ziXgiK)4K25ibl@)YYP=Bx#@)COh0f8CTy+nMeMdoUB4*5uV@{9nP?~cw9hD zVDR56@rkG^hn^DDLN`-n0Ox_Imf8ZD2a_Al! zeV~q?%BYol$#I;+yT9bx+axG{@eCTd(Pgl7-d}k{C9-dAJXECw*$or4H3dMvrwTRNk z_&#RNG^*1y*VCFCUAdC94iZ%vU8yzWuuc$hJI~YY=VcH{;XiH>-Dz#l{>Hf+{!D-f zOrcKq*dkOQ$F|{6=F@uAZOO9LL|Kt4sBP?<^3GQyAHU!7ks|_SoZDlXwfW-Tw`v-6aq{fVo-b1ouwhp#=!pzbZk`~Y6myRLL42~j zpaDeKINwBRe&I5Lzl!Tm9^o6@GAV?CQH9Z&Q_(N72vhXcmdR#nv@#0z_Ew|OCPq+~o9cn;z7%IJWR2c$IG zU7F{1R?EQ)T=)t1SaHa>+x2{tXGN&$aOY>$QGz-aI-l*9!{w@PCW!T{1*oR$HQWyI=*jS`$M%TAS zFs7JToH={(!&HOIyHSte@<{y13rx3$; zpDSf+4=(?3ld2m+4NmUmbmY1CPJHOhR^RNFlBpi%xU0*@+I?9QqXnGY=$I(txvoMc ze8s5+aJKUD=(^->N(7GQ7r(V{O;P7X`*4YRLN-d9=QTUr03GuR?A{cWDpfN&8=Mgh zIQ<=o30vpti>&bJMxXfl8CS9*$qX?YhiwGenZH6+4RKO=tGxgMis@)N6gH92ChhAf z!dwbKY2b1ll7VXT@(_a1VCS`}_Z3x5$bwj^+w_fU`UAWhh3z=)9DRJIp(2ZE9>t)I zBMW<(FP3buc*{A6FMOXSMoDt;fuX{&{a%mcf1gm1w+6Q{*vJBePlLtT`?UIY_#6s+ zJT@lvDgQWcELFxkG_UWE)v@$xJ;>a)@oi5X+NMrCQB^fcnZ~X05*oCBfpAqKg`VPH zpPA{IbSFv4th=UzEcW=fywE+mX~!3=_vWyAlf+(wwE*9w)`$3B znBOgY{P+Rc+1iPm$cxP-3bi<7abd{>Ud@6Y;P+-mMhGmuD6toGlD8Z&5y8wljxFwC zuynVYoH0$t5e?EEFiV)&Yw(IH~L)IUi5+Hc4>u#kt~_~?uUy6U<$?{d?6kbHP_@` zkk;>ZJq^kB@CU*zH{`XS41a-mL;dkJVE+w)fyQC_BFs2MbEnqU9oKK1mWW4uK(_wv zL*w8wzFLJhmLO|4r1AQX$y|s`icr{9WkSh%M#0VSo778PKiv^{4Pws|CmY*Q3osz4 z3fWR_QR_Nq3*{92>UPa6g{Ir~UbD5eees==5`%T~y}Bit=*!yYOtupgQXiFI!YJ^Nu~wbDBr5Bfbrf_CHD#9NZYlKgXz<%VUnF z9SS_rU=4Thi7&3fFs~qoH#o2!_cS;cPi$X+457$)j=WW9VlXp8-2zAxM#!nj$-bKF zr5b#Xi;7}G8aL+^HV-7V{paiqS^*v6XN2nK zYH$3-A36ig4CTj<|9&~Ihdn+TxGyx5_}(MEI2EC}!dLk}1m|W%kGNK5XVb3m&ZTXh zo8a~GULP%YCKEAn3;V5wW<}YUp`ts1_83$4pWJLZ+lbfp64hsgf=EoIpGl{HP$NnG zeiQI%$=ku|)g~}_9R@mx2{8URf#KGzTZppj`S=k~{@1VEt~*W0M3f^*Nlh-TWSVqM zx(l`;91gI!wXjoZ9}bBeBTc0uKJFNqG(A^!V=@szC1W1DY(o)S$}P4?vh1f50->Y^-nQ*%>{~h-C5hDI?94P=(ED^c zm6es5@W)?y)FglzI=ee}N(k|5FdT-3(ZfNi!@n+{VZs~O1<^*j&f`1 zNcdoExCYD%q8kMG7xzU*X{TTRfeUIE104l;2Fio-$4C+bn-V5|k-{LTmtlyEF)dIv zTmYnu1Iz-)_vHAg^XJFpJckN9olji;YI*8ZIRXvR^eRw%2BR6i4gZPX<3Un8v|1Y@ zJN$2wT5$YVdd+=nJ5~oM(*=FQaGwFrz;jqsx3Nlr$t(l{S5|7M{T9DSr+J z5ioX?$12u?hr?#e9iv{*^SH;k*els8WZiu901;F1VbS(ycwJDK8|IrpwRGzdRKuEa zCIvkuUSD{?=h)_(#PMqmL#3ssr=th;NvN`j9ICzgN9Pou$Q_KcVFx5&c6ZAUXH8Ab zEJo_Hwa0=Fb~tEfZ$2sd6(4xZ9?=&#!g6GO3o>s*0w_ z!fgpq--^Kw(9|AF*Fc1ZnR{4U*Z*EZzOU2jkiuDo*(pJ<2e}G6m9rGdL_8TVB~dKo zm6hzOor>ho>lb<-9E{3s;~kZJ+B>zAF6I9Hg%uz0xU`A0##XN!O5s->!~_fL8%pyS zGdd_m1S{hiJM{V}l2xo(n6GQFtq%_Ru2l32S(QodjKSX+U=KTb?xiJv{Kc;|z-=;0 ztpg26%j>`WJA|1Tw1Idude?5?Tj*f!fnfpjHs$483MqW{%Y5PQx$bx364k*~3BiYy`@AAbDg z(}RWvSg8LiF=JBC(h-6w(XS5vK`Ls`)yo&kERwUa8DPb?S5Gg<46wg&`F07E&p2!*)&6F2dHiKa;m{$ezJhk=e!jFxZpFi)qACW| zTj*3(JGU_f-SDlg++#(k$-7CbG)D7EpHNxcRr31(YXO-1ZZNoa8NEn-q&e`g??!t3 zRX_ilxYPl*yvQZ#Uu&oP`3^bO{9ZHf7{9K(-&z#P2o1isEiF`AseO*nXYULN!{-uk z!kjd`m4+G)9M^Qyf>VO5F=UR0@%elawr#40nVLiX*KujcXZV+^(`y_ERGZjzspqi^ zxV;ACvCB!E5`#~Uq*NObnZ`*OMl2syCZiW!NNRmuC5 z89_>_Z)|ROq_}z1(DD4=$vv;G)EE~WXOD(9q;B-K%+u#o9krr=kW|jv%ozVq6;{>|2 z2J6y36R41@0(5DUMG8&#GSGE(cjGRGPx!hlof1YZ*Jx&XJAm`}Qn^U%Etyf{?tDV`B}G5Mf%Nbc$-$+kI)_byL$ptJXA{2dj`i#oEIZq(lI}M5hD?J^C0B7`b_sK5YkJ1VX=junHj`YXu zN9k%t4k}D7$TPj4oNQ)hW-XG+bN&0y;09MrwWWR2{u}dH`hJC2S7v4^3bHLp`5|2r z7F+td9KM4GUkNiyF8~s{$sSP&8yCa~$P2jF{-f#GORvAv=JkE_34L}hj>BJ8=CLm$ zx?WidiLh7{*M9S1dmlue*N3c=Sn1$Uye2(}WQJs&AAktHTw1z%OqPd-2QOl1?E80} z40$;&mdgXr3o|pV`^zo}GhYUDT3ucJ@Zsw*w{;w_6@4zCX<;Qn5CmGzF)gsr2jl+m zkWR~PzO8ELj=LNF!rvLQ;Hbbs?VJ76bs=;Ox)2PDz7`9~~o&u%8wF2zY) zI@9jbhlyIS=Wl)v@%QXgP0?BXa+9)#Q=UBW>Sur{VHTsMjGpz`>`F z=S4crM4$(Xd;D3*WE~v62$QC*s*Kw6A8Ma;!|EM)IWZ}TN5;eD=g0i@rTT<~ zkCY$>DXHstnhxow`{30e;t_|pE`N78k8eWU{Xduk23(%kZ7deyaE~~YuA!ynJ=e4c z&^z`c{5$yK6Zqks>OAOQ_5*#5{TVXql#~<%J04>A2H`@S1|LpJf#3!&Jm82(&F@E9 z3MX^ei6I|wc-b{I|Dd-YeG_v`kOFBUl4KXZ4wcoPfD?}O+#eK@4(|P~!&$sT;V%gX z0W`IItoV*lrIchGU4+3jS2va3s%;l51fgJ4Cl|;)(&3F@16Pqba__lEj8#Zq&hBVsX z&hV(FzAMVk%*%k`9ith-;M@62b@;V4G$u+5g(uwWpSE)4UD(I2{Xqw7+3IJ$-0r^q zE;w7=+^#l^&Tgea+O@SlyaoW3o#;0+t}nybuY?`g$jIn6w_HCM8Jvx%K!FT#W*N!S z!0(YY10^;d9~eimEh4K4iJyDreY|XJ_A3!i9Y22W`Ez8Hi=;3!1l?y*#}UHAIcD}C zxM4@R#b7QO3<^6loK#;B%z;A<7vqCB`R?CasA~`9wy9>i3b)pdO`Q3BJH2%0#gX0u%=+BN96?2^Dz)i=zoKMX=i*Z3Wp9E63@Q$LH^pg z*@2p1Qh@3HCu43;RzfIA9T z8meS03Q?P4Te4hN?X!_AVt#h;pls0i*pDD_@o2SF@#`oX$Zj5cQL;}tV1GX55L*fC z#$e)eKp)z`-qQ1YG`c_WJrU12fdV-O5?QM5Yn;H#I>qm2NAp zlDD8rO3`6EM2w@e5lyMFx{QP`MUty@8g%cC#lUKyJv1QW6J7B3J#%I+X%QwDVGoqo z+OVTlkZ#1aYCXcxm8+uP1T{Z*V9D5}TD9-aLNj zFcIB%=SwH(0&J3-?7vBV?eCAYVb3Je$PHRE20md4v#C0req-8>m0?TCXVr?fp8hUC zHCNr-P~EhR%(dyb*U$5sC?F&Z=(sn0=i5&h zb8^Oz2lE~psJ4#F|NR$Cy4hqMu+GV)MIzosUBI;1+}b+U^}~k`(@NmyjsQu*seylo zzmKaKxg#yq_3NLs9UXHaGWA_GF?C?eKG(&-T-x^!%})?C=lnj32N{ZUDBQpU?PvTp z63%m1BL^{x5GvzI2dr~rJk678^E(B974#~rsqq0Vn#t`Tl8Su=Gdrcs85cd~JJN|0 zo>0?Ws#pW*4-E)FTL($5jc-xM5ZVBGp15aEh2Q!rh~9T#S@$dXO&YC-ZX54$zUJ&K z00CCf39W@)GQcDyx#(5zY&O~V-v2-#Hq4O)_63nb)Ivx6X}8o95>n%@4xYpp;px*$ z<Q<`Ng0CJpC4hhz_hVWa5X;zJY;) znF--%W{6!H=-jzy&mqibT51_4ntA$IW zrMP3`Dz*g}X5@hF&{{kLK8

SuDE16HEjaQC34_I*%E7-Se+r;opLyI;%?8k=KkB z!YQ{3a;kT5Ndn3O@oV*=oG8l!ja3e~^C(v)|fWtJ~Zbs*L!du%X}ne&JgF+4*&Ld(YCRz-Ct=gyg$^8Y)` za3Y8V-9fGVIcF^`7d0B|c>`km+xI^#4+c-WSGijprE6pg1(^s@H=wraK|R&Z%%L5# zQ*b*skKge9daSo_ueAL{o?-Ut=O(a4ZdJ&rlH_s_X7{U8V2!}=4JE^`Uzf6kas5v& zN(Tr}|N0e1l00zWB$=pkk@kbg1Ec%{YPaBB!=YiDFHU5}862XlsiAS_(7`}Ai_1lw z4&~I}b4>)chohF@0AcnD*A9xk3>IlBRvTfQ`z}7`4&Kks{7M*^WZ&HC)6X#4&)7IDDs@qM9dCT3>6!rBgoN4m&ZMueJBDPC$&ZBI7%L=~FhD?^R zItf|TApMTX3#CSwQ*qtmYYRtD-X)r%C_c@Mj`2lrP;*Z2kls!;h!)9zehN!J?;TKh z^y^AZNlEMP#qU4H)<0kLxF*InyVikY1@aMUn-Yi86+FzCok}f*wpN3Vq;iO0R>bJfN+O3IbSKhegemX`;2Tf1&g;$0$T=ruNT0#1!c87suBNe;F8v zBHh&B3$j5p#C`@=9v=O;hj8nOrXZiF`AYR5HxEzD1Gvzi4_q9E)e;G-#ci*Mk$v_w z%vXE$;0la|+Jky(3n0XmU6b*PF|G9rxv_lGmE{r{=o1&hq*c4`QxX0#1l--OcG*a zN8F`vcr)9F0K-F+7uIV9Ce217SM&M?l^LtzHDGRLg{J-_xcw{1KmU3y`)r_+07oxZzHgDFlMI zn9H?xdq{IZl{e!t8hdkK6uMIqgBl^E!J3bs|Idn#bQ*UAL85xQyV|HE%e`F?W%oEI zwv8d#oRYYqrh7vsxWS;H$1tJ!+7f4Gbf07U9X^h|_jdRpTM7U-+yU;Ni#N06{eo%3 zYyuU9H<)y7`B-s|AVu6z*+#K|ZCyCLk-D4KRZML_j6hfQ>mv|)WGJwskIBr(ckz}1 zCAI%JHcaZJZxCW2UL2*HX0n|DwY&knn=c&TAf*dxFkkw*_Ygs4j6VA}KOdjv(lx<8 zZ4RBJDixizvkdTwo+k-Zm_hoMX5Z%;1e^@KE7?0Dw0gp+AK_O96?@7LC;UOD!>C#?a%vN zidz%z+zBusn-=U2vO(gjM>V1&liId?T&wS)I{FzhlamdRky=@bckbOoiC2>?b!(Rf zpR#HvT|`KeJ>=ZLrP9;)Cmo`C+5$&D>gY`i{28anN(AV@ptUS6CU^}6bB(yN3tOO_ zkV)x|LI4Nq$$+9Epa_k(eXxl4!UXlj4uqj&VBh$YRA;$|Eo#&Y^D#z}wQl=(!pHtD9EMOaNpfK{238z( zuVgcNDE?sM6|TnFi43w9t$<`n$Ft(%;TO%|?4e2*6N|sHdv<`dHK{GlZEeOce4Co@6!wKMkq6; zl$$U7rnQ4@xMEaXdG*Mc-?r=OW+_rN3KNchlN8d{z`lVsotgf?p+jd#1iF(Dw|DpS z93(P96m-nR?2!Svp4M74Wqt2^`0kCbiUsQ(Ba4&)-<-$9GWNlzFL@uTV~U^Af2Hl5--y8S<%?Tzn8Qvc z48seM^6mTIEUeLbRBtC=!0avk08-`pYP3k{<(BSPQg`Q)^Tz!_k`Rd0)xA9UVzH!| zJ4x&OdhQ*dSmL?E`DwD(SrzM7d73Yk%0aTU=a?0OVkk%uf*=wT5*7x;?I4|b__luW z%?1ah4d;lHAN)y@w`qM>_D=f$`%C)_MyTgz+3i(CCRP6Uv)g;FM(+exXE1ikXEj5sYu^ItSk2rY=3JNfX1z{fKj!BJ; zZ5X|>GbHGNdl2cO$BqAP+&Js&dl6XG*+FP*PnNS>Tw47zFH9ld0_S6R|IQFWIGiz zC=s-Bane(twaYRvGc}b!zK_{9BwV9e5mqHXb<1Va$X|ruzJ#tgN$70k3jy4`_*w!O zJLkKOfP{ivofJ2`wU`1ofAt03jhHwIpPZo-H|fJktCah|-#$5)4{ru478lkwPA#%9 zZ25WBr*25!>iW#0ceZQ|dM-Yf*bVCkk+7HlLC9pF6xK5oiIxKp?u@Ny^tKu}y#a4Z>4*+*q|}hti=esT;^2$j(;snM1CIB$wB$||yIUHc<`t<4VuegK2`#x}wx=U{kZLaxC-d@`2zheBc)v0Xr!*z&C zU_%O!nHaLZG2_+-K{}jJScxpO-r|4~m*n0uRQh>ZGyV|hz2Y}%Vb*x^cXKyU z6^ARr>Ux|ph7X=Si#NK#8i3HALxM++&~m(z7u(w?jFiomWn&{F+bVT`7ye)pS972| zM{1*ua7w^)9zqO_9Z5d{J4m$J$s8j}i14>>2rxhGS@FEIG(TT6i%O6;61r5TP{o+i z-YFzQi00F&8gfQL03U};!Rkka$klPHy#MeaA4KW7-PD_x@${03AOrD_l}JH*5|HeR zM;U+dDKF$QXLdTRugpD|=li6KX@E;&jZ^1VZ@L=-&F|1C)}@`tQ1aTgM3F>3b}UAZ zv7m>QflhHS9e(>tOZs4F&KYe<0gR{_xfK;vJ#r&w==UZ77(#N~-MjEr!*JKt*B6^_ z3T$9Cj6PcJD%3t}>wfit;;7w;<4a>{25=g_eQy{^11g)C&(GsVByU%gKabn_tsx4tMGc72@15!6SMZ!tyVC}dD2O_6m&gZvnkbc^BwfEfDi6>c>fi0S z;2Vo!3$d*6y3#Z>lyuWiF!}t$oTKK?=rY%k;UaeB+iR&E@;430d~`GYthML<{U=)PudM zOwht){iLI!d;Eca| zsL0@tx+@pK2M$(37&s1jmDYgCov$}C1I6X#(;KWG=H_U=wuR*mM>gBGsP@|sIqzaZ z#_9jO+kk-da$&(sYM|oW4=PQAn30&+H0DOVSqldqzOKK1s!c9@`63&k!pxe5X!$4p zR9WzRlOs1==CEitLuCSKY1ewd;3fF&5M>gO zy{?u9aOjyup;nIQ(WC8Ci|GpfRsy?+u8)@~lF%TR2uk;H8L?5gs8{Ck6BiUPTMAX= z=eJHRzC<_$fezCgMm|cbNm&`OdG67hH}G|#On#fKaugkt1my zu?uqmynm1^XRwdTb$@&-f>D2iU(VwQerhlZA0L1i)I_7poIPwieIsrWgyHf`#gC1T zsU>{{+ZY)Y1$--eoFj_csqY-@?nX+Bi5YwQV1byJDsQZ5K~ASr$rm2POsnvseQ0WW z`h)XsrY(nllu_^Af9Euy@62&p)y}eog^y+8xs9D)zHl+nSze0io_x)_^Cn+}26)T4 zm4D02UWiyBFig06PhUWmd#zPQN(ypcLB1&6VPyRC`n3vTbFFg%^>V?73`-)D*>=||F^8_^RXHheWy)e8q40sc1z$$b%~Uk!SB}g_Jf+NLDp54 zRt9DotaM=`ys=1~fmH`uZ$zk|)Bx3hFt4{I9n(*hh}O#KcX?5CI% zve^cCLOexej?BNvK{8L4eV$VRXw=p*c1VBs;ChYS;rjvyFt+*^9@0*?$ zOi+uuR;%Pg-zYrWU>CX@+nqrZUFtSXRuciF$-Ddl-AmPf$dwVtL;VD3M|>T23*_)> zHrNYWGequU!hx|u132RG)2DY^?G+;#i{%y%OU4q240KTNpx)xe7hJ;viIlKTTA2^* z)tCG`hI1o3K-k7Ljx6*IV~xcLk5itHuu zbF2|&Gak8vv8kzhBUIk8MfHvz1_3n*s0s=L&?*1ZI)e{o4?6|#>c;nYu3SUKHjS97(!GBkh5@5-7Up$44S{oz z?qL{0%pNuws!Vo39BDf+nJN<=mX#r>l$CA{oG(QN0SXyL6x=IN&kHXr6280R+Lo1s ze{x9BO5{`OQstmPVq}voP6)Xhe<>Cl%z+u=7g*Eu>X6dF$J*M_vDMji2+>=x0)v87 zFR$g*+uvOYXnq0|I6D|IQ;N9Co=*KY1ZcnbSu6u@$GSvk$y1Cjf_8Fo}bUM zhS^+DR(@eoXh7Dft@TJPjQPflJ++_*>7Z3r*FjbuEi7ceo%`s~U1pwiNG%NvT%%v} zGb;rQq+dBtbrPq`;H9DG7tdVN)m>&{6_l5^Dl`pt18U1z>{(e-GKa21FnA>wLf*a8 zfpKEdd+*OaoP`l^V=1($d6&6)4m%>eA{%*J%#Hm61KG<#pBwB&@oA{zzKc@v zjlbiwakHxng6WM|$pXx%j5O~~MyME>n1E%T#GA_{&p7vX&CbX^% z2k&4Ax_L=SvEd&i1d4_W*gRyOaW2PSk6NVWKu$VQ(Q;%s1W$NZ!s2P{9`tZ8oH#TMo>YrzCp|_i(`1} zO-qH?)9-cAD{&-h%)FScpAb>w8qek)(Riynbg$k#Z|x@fd(zW-rT*P z6h^D?X3E0!Gvg6HFhg@q=7TWz*ghPTcp*AYaePqfqo@^>(6zn68gXSZ7&+!Dzib#J zIWf|Gf3{k&{(#({I|-`*o(yo+jt&kR4dU5Ksa4ZjgSl%o)w&yNoeLM^Df1 zUrF-=PXN|{7F4Fu%{4IdzN2HwyA~*oe8w?3Ijk6Wlagrl*y3B=F_o5Eq@|{!YVn_+ zKL~p0WFhK>;7O88&s#0bGoZ#53@#|igt-^RWugoIIqq7{C^D*r{+=9TWQOV5+r z5fye%`Wg!3@&_-~LAn5~$RYg{R%Uvo)PE2RycwT|Bnv{S(^I{BevBiW7RrC1oV`O{ zCud6yWIIFiU%txL$TA2^N>GUiwqX|{li8)+^UV0@XWwIZ*S#+(vN{O$A&|VF;U^$i zFZ-{Z0Vu}YNZP%L)NJ)@+j&;o&QZ|WfZdOKr<8su{1kw;^T_j0v#?334)r*f!;^cO zXn$iqgb~t}B;4XaZnkqpA-U%E~CM;9Bh+9phK3sNU-5cH=(4U*97lZY76^-qE|OmGk|S zfQJg7(TzFYs3tT%Qh(i^+MX`&D=kZi-by7zbFxc8G3046qcuA{@6kKoG<0-u%>p7u zq?docHQ~|&*&VGm590L;UZ4vdm|XE5<${|9EKMzkoX87|-!{cX%b)i~qEu|3SDG2FOFv^ASO z(ps3v5{|iiS2dTP`uTwk&)o|esIdb7%tW`@MN6$>t62V%{&~VW9*M{YU|z|tHY5fV z+^m2+#))-=HOhva+g``i%1Q{4*Gx^<4tZysXJ)-rGFRO(4#@*=ESagBUCNCwbJstS z)?wHC^1j}9g-9#x9Sp6tDry^JjZ*Q;=$LeegT7vw?PwtG25k+j`=CF5FVS+_6br<~ z$De9#b$w?AL=q8+IGPTfRJwzFKhkct^(Og5f$%{VGa%>a{|k`h;iCq=fFBEM^U(%^ zxP1#Djt_q5vuE+?)2n#6NXX!uon?Sx>*~hIE7d2ntVx7f@7he$tpa5EI&3O1ILEgJ zBp+u~;#0DmL9kbX{BRVdXBU|O8hkXJw4utdCD7z|?iHP~H8k@trk4J``fuwU8Cy=cQrG4BO3OZYBkdK(5#^p`^DS!Kx>lRuik|F)s ztVM5FE$}2ke9mm0VYsA`+YKPO7w0|jIGTw&`JmXQr|(~1I%`z&Fvjy2q+lcWWkq(b zczS;My_9`ga0-V&VGgD|L)P&MnON!YRx}y=~T_ z*=B**H4D#FAh>7m=ZQb5dGT0-xZ(Jlch%;bXTQeCmK(ORBjimZSP#F_+(K9^difi}#Hi0QgX`eCrmojgJqyxo>d+qOT#gqpQPn_zhS%W2%*vqfKm)2N83m zW4{ON!p=CcxC(nNBrABetgBbI2a#M%r<#7=1I5G?3Q`W;!_2eyF$|*~K@upHblTd| zZ@5O7>0tt}LoX?Wy<2oIK-7t)SVvP6*@v)h2&d@$2?@auMrHyZ<^{0>$b!UZqb!j4 z!~Q%#=Y0beXxjk(kOoIe_aj|^zLe||L{i~Pj#K9;)7yy({q$EOu9&Fi z5%UHW^HJ#TjfC0FU}A!X_tLP~pEaMo68~tYbNMv6<-95BDn68S!^%;XIKI~dwIL$oI$vKZb1pXO@p1&z&pgaxP zV(@_=$E_GC;K(wB$=IsM6Eaq`o7KR40m+}YU6t?#ElS2}pkINGa3gyg#O~!5Ge?SQ zj82&|25h-hfzLn!mMn@-`_9DF5@&qVZU0}NLFzkpr0>&RV;1Gd%n9%qi-{?QkjFiz zyZt8>5D^>PfV1MJgJ^e`5ssu@Ng8N{t0I%JB44_E8TNK?tiw*YcCfc7_87;qc!{wBn>`3VLO4!*tDu0u&s{x;N5dC_DfB_t zZvV$HjV5a8>LW$S2~3eZh~Q)qJFwbzCmV6G;eI$7XTP4Ky+_D0d2<3W75`z&!GH<& zMvR>q`VQKJ*C0#a&P1ye4kg{A?I^{#fLJgvmA#)oFXQ$>Jj5}x;(8Z}BFn0{CR>!x z7U$+Vj=fD(&YFd#2sA0W&Z;`bDZ{s=r6n|1a54O?$k}x%1w~PK+!hh5_SL-`i61wRlWWOl7+PICt;4g(@}E|)%hn6dFym=$e! zTZA&ZZGHgNIHfEK+26v%2McX!5aK2zyxzlf&4Q9t9@Q>!X69ApvXfIX?8?@$qt1pb z%ZA100180i%My-=4Z)zz7bk~$u7QBVNXA?)eeV#pAbaLm)n=_Sflowar&1oR{5IAg zVdh}lUt(!`AcM7Xa0|_f31oxUygJa;6=XxnK+CA6BQn~i?s^d1F&@J%67=tE58tI> zkkiPwh90N99Ow{2V1T)xZ6&^S0mCRVd0|8->R5Vn=JLphD?G0b4nOQ-3A0b{_u%g939Ku90)*A3MluSDHO3*3! zIxQ+?t$Low_u|sKtu6J9+ z*f)RFP|dtHdukIz0`DYGCD(o$R9bkT#-=Wu(>9c|ENNwK&ZtrcX#?D3HgAEsKy?Jb>6E~!C*qyu;VOdfJKAVvjUctNW<&mZfnk5Z zc3uIt9{*u>t5fD2OrZ!LWTH`lLgv#k=`u4xN(C6(IhidO?7_)?ca;poCAfQc?D}i} zz?_=Di+`(p6}Q)qFK)c7ob`W0mE)A!j!hLO0?bY~D1l^`(p|68#Y}&#Me`^IU3hZv z)ifm&g>V*(xWePQsR89HbkTxrZ4?PUAeMaNT#4hy3z6aXrSeMYud3WfFTBBUqnQfb z^WGdJ1RI_yo}9T) zXF_RgkfDKpFhqG|pXZmksnec84yA`#BXFZ$g0sb!+Xtp5XJ={mi4VB+;6;KUr|Zdj zt|@e~wu!yEEF+REA;W<|D?DliO{ltn!MGVOSeWF)z6LL&9DG=iZj3FhUH-VbTKJ_B z$_+5`2&l-{VOx_#4*>)?{pJ5{R@vn?&v4gJ!;k<9ABT2{xdQ}=qU^JE`g@j#;-e2X zYComFK)dj>WW3(CGw+xX9 z6v}%xP3e{ERqd-+wM)Avr?1WgDrRP7Q4_z`$6++?B<%{63KuD6LC&^SvLI|NjlO#!!Oi7A_BqT|tNs?sBRH1 z&4<;AjrfcZ?xDQL(9I|<#K$BoujV$uFp4Yb3}`N<3o!2hWY_rcCOs%K^#1m;yQ7wj z5jtb5A)!ka|JTO9_gZ9F9#O%Xsk`gvirB}xYwn9NHW2&r&Ir}cpzO|0^nAD+((LgS z3r2MAD?3qm*)yj)P5cm!GNo;~KmDO-1YKQl=ujtp5rqK-2|>HM{R1#L_l|2`zG&I( zXDrOT?)K#daRm6_Qf6JATe!{Y;&!@uayLhjYPBd;X~m>F{h65P^m zu8|N%uWJCo<- z?%Nr0;lgEuRVoMe#NBh=$~D^vJN_OGv6GB$LV>rA3yKA{{Iv@Fe#ka%*t^?pyx=f7 zy7ZiMl)yo;4jK4MS71Z{U_SYwCHxi8fhEHh84pd)Qxm z(fwfiQqajfs zxF|s>qFUE-1lvnIE|@+@L36@{wEXfP&pc6s*sRximM0YGT`}{`BH4sq=2rC`vgeY+ zD@Aul83f~Y%a;qHyYMUt6whRu#BgpP6S^NEN7xyey?2iu{m9E?wg|ETZ}}nXI9{k| zSP=`X>~bj_SuAnWx4SY7o!3I~1uhtO>{!P3FIM5NIw?HUWFE1cnJFn~wM36)Z~pNH z5dx(W4_=Vwnwl!^*qZ5HbpuJvx_I9)=EQqZ`e5!jSwU*VsoI&E4T>H_SV zUo=+y@of8sSnK1_qpQbSimd!Ne7u#g#d*{&{M5Ouhqg@N-939_x17;(>No!g(n~dU z_0t|@lO13Gs7xC>>xg!;)RnOsCzh^Qft%1gvAm!&`%UBx`z!p+#bX0L*6hfxj##+x z`J~NL>>uRMo%;NmT*GW@3yX&odiR{Cm`czn(2jC3B#ayRY-Npq$!K-yl(e+1urz65 zRkgX}zQ6pwFgG`|)<37Qc8&I7*@sV_P~P9fKzqk~I~58jRe(~1ql)BK-&}+N+mbr( zI!^Ikp`p}Htf#)hS(_-+8dBMwzkK%(zFIO&*mK2V$CG8u{k^;K=m&^1hg5lm6Hn`l z9d6)T`~6opB+B^Kywj`UXe37~2LyFDCf)e-?!$q@LygwGuK_Mho!vxs-rsbxJ&nbuQ3je$=y-HFb z`R>rWpD;`0%@L71(Lp90xDvv{ihV?d_aMoqW-lDO)j9eS*L=xVv7+pp91Ns5pe!s7 zgf3L1C*V5IKX|uYf|RQ%eN8|M)LBtW$CJhhF`FN7<)EY)34w0{tffc z?w{Xev$7gDFXknzm=swp|9(Fmi5R{r9qU1N+qD4di%K{GtU?%5R#{tLXT9Pd%)RL~ zC9mE2K zaH9!g+|j(^)aqMqp1aC;!^=ze?%fM0uPDD1xN1bnR+G*C88M5JY)p%W4m4fq<9FIx z=I!hVCG&tk&zqdhvSgJ+Eo{^TUM#agfn)p4DJK+wbHlME;KXqmp~28IwH;!-nI1B~b(K7MESS zGA&i*KKg(2&}Z<08nVFB(gMdmxt}+VwJ0Fy{GVH6)@Wn@(`D~l{`P(t6c!#nxc_X` zC7K7G$2;@I{Q{Dn;zMbfqDjQ?;fRh zn|JM6dScbJbvNw&JYO*VA!vlCQUiK+%SP<{)9iFaMUgoG<|;Vgq*Lv>i0URu zpTNUgnM^}!f7|B`@K6l^kB8b#pSBI)=x9&pk2`{?in&AUNo~iRLFb24DIz=^&$`Gl ziysXQAT&?Pq@0J?{$DLXS=Z14#XtoD1dq;7>Xxg(f6pjOVzmj1E_6@6bXi+gY(jGK z(V*i(5+`KDb}xNVT*v7pu$!6v#}8=YpZxzY0r!O zkrda2=Iz?C178LM`l^W*A-qd!5U%AB&vqX@e!OOTt)F)C&E7{eEVxU{N=vKoKl2fQ zm9|njjw>!M-{hboxiHS4ZNm&3_;4lB4;v2KN$$BKJvg{<|NRz<4BFt`K}weo_jB+Y zP_NwgnHF;wJoK4Jw?YHipHs`nQZd!vwU-_aQ<=VOt=2P+3N3Y%;z7sSd~zL9rL6}B zr{KRhscn%bq;Bul4A?2VDUoDhXjCBDK_yn=1>KzkFvYAw2)EyvF#6I={C} zyKa8Ztr5AFn26AMWx|P8Xv~xNpHIH8kBErzYVaB8%Y9;_`ZeY<>Q=pHsiCMzX#4uh z;XhMxQ0;R<;=Xwf=_YO}CK6^7qh}fScWLP8nkFl*7I5MGc`+{}f11)W+Skbmo6>)z zyfQ$0N{vTG=GV4PK|C_mA!(`rsPJ1>3+7MvYEG#5?uR>fj&eB@*l;&Be~#V4F^)93 zqM{=I_Y*_hxoCznD8uYh?{59a^upq;yZ;^-;VIQk`W-wF%y6Hg=B}pvfR>NR`IA@5 ziU|WA*)3k2M$s<02lDT~rAs>mS@Sxcg;OrRd6hK4dhqp&=~eCp$3mU#>25ZBO0c#xl@JLIdhX_* zA7HYvZ`Ap>Kepv~*Ih}FIdhT2E4Z+a&*=ewEfbHNFW24?a44*2_54MP^7kzfdr(pM zEn=oaqr0eZux`pRtBc|HK2*xhnI+NSE7Tz^I`R3}R%3-JuOe=^i0;9V>k4Pv`^TsI zRK{wC7;lFQpxPC%3F9qKVuKJ&IDpBWfy$&`kRz`h*bn`AytUdpG>$a?SbIvH)3Bns zq}dCAsU#ac_eu#-VZl(idF9NBx{{nMIGE6$2;d)zz#5+~KkmFc4N+`oYkP-#k`usi z>xYj()acu1pdjEjs?OOZIPi)>PcTm!&2jVJe14{~%hZ&cE9-ND z#jIm^xy`dlrlBPgF1XcL& z?PHVg-|drLwHt`b@|4c{<^#?J8}VK8Sr2`d*i)!f`QqA6iNj%pax`9h%Y>1w@+ZnZ zmFpYG4;gDaQM;k;etjEYxue>7b4$p6f%;-;--<`hX$V<~HbFoLJNW(cBvj74Afh)+ zO@qqai1c9_p)6II-$$A8B;94(5ZYs4$a=R?UQtRH^Yeh(1iy%Kr283f@S|AF8!>-= zMUv#99lk_G$d4Sk)Y`hwl^vLn+}&?hx#Jk|lQIjap+qIFNkX_9+&RE}>gSHGp$ap| z(YQbUjMpBOQi`NcU%nW(JQzz?jfexq31><}j?i_EvmNnB^G&r-Tr8NUXw9@>;j*Z)Mtm3Dq4|Llz za%69dLtTK5>ZC`SUR|k~jK0Hv%x#|I_wtfpI@h%dV?xFY1}GYMs_k=1-6RMOsJP`K zHHhp9fpr2&wo;WoSOt8`kR!=`U+#4d_>lcMsMxt!ds%DpJ>l7BE1z6UiJR-|YZx*s zEW_K;WBTbUkC3d_;CYNLz4zWDF`R(uR}~dQSCO@)bkr)}`>ycA5fbxs(nJjQUu!Qm z8XZ?Yw4_}sxbgd|BR83Ad-dv}LPsdpwqDCC&qwGll8&8x(2TVwJ!EzLz0RSaxjP%} zC7Sju7eBY$x~QvGRr`;Liu{n^;~x=u-{1m5Z!N%5_w*l(E}K{Gg#ukLWClO&imd0K zb{cm-nrf-*3m{GZh@(JE*p!B*p`igh$*2 z9RVvVw6|<&`t#=xeFb_rLjwZ_D=RPwyQE~iwzi~u8T*1S(5oOzZ83WEkNee@hua9Y zMOSp|wJt7Z5!o&!T(4+uQ3=%esNm_Qtw_JP2vdnsY2!J{F<6uB+ov|v&Pgl}3JRh) z1Rv-NiVd^bu$LW`CBv)i~2VYawSi;8Biw*B4K z_Ty?JJgmvw6iq!h!vC0E6Inu!yxqe?Ys!>zIU~QrYtRo36E)lQUlDEh-Mh13m!2J) zryK<;Z?q2k>th5;3m5V=J6ncvkV9Fb??rx8mlJ4v#+DD36j)iaDW_=|o0@Hpf0NNA z($dm(Cvp$Y2p&sRo0!PkdX2qLzW_QSy-zqgC|GI9@Zk+lH5T!lim!$9{p96GgKv^| zEg9CRQT1#j!)?$9;(cDf{_nMz1>Li&is>T=#ba%!T!OOjs-2zLl09MxpB7#L(HB-GJJCAiv=wnCl5 z=SAkfULl!!kG$MtC1CsmG}_ zO-BbLa}EEUy(gG@kc{Q1VfB;y?v0e2eg49QH`6N-1Tt&A%w=1|+|(1A09Tw^GV((r z4;>PTyGi-eJ2PpViV6WST%3)yD#v&B_V_XM7*~E>UGvYj`3o2NwKfb3GWoOL`B}g~ z^v^AZyZlM$`=N1_)P?a2Pce=3lI^#H%hG4eoVmu?nLA{pyu4U$lwIf3>0_cu(jGc_ z5^n`e4KoI+@KX3c7i^O6uAbJ$#6y31~2Mpu80i4!khx+H_dB66U{W7l21E3k7)hhwhx*X%bp&%})kX49^u$jC*j z-}Kdy6_?Rv-L72eEG65$>q1r6h-iK%mNAmI{*g;tt7s(8FIiciuGgv27p)>l2gj#^ zf{U4=W@cu4Pn@WTi}weo{?Enbd}44lH3PEg6Y9(EGLX>OnRpSp4aQ<%$qApED9GIZ z`7@8s3<9d5!HvvR>IP73hG%r8PWv zY#%=8E%3oc&IMQ3eP&9RH*U0wpTSl_wcdL!CCKb7*BtDaQk{L)n!kIEmJH2Ob4xS-Ic$+clZl*(^dk2S?w&igGOe8D3BeaU zc|;RL5eJ{XzW%%XfZoow?@+-jnZ;pkEn)vv&E-ao&9!+aPi;kh+nr%DD0N5JP9XM%HQHl&@mR%`m{DPexTw;+hQcSXY_gbUyA z?}*rw>(h1sCqQ;KQj5$Z5!t&MdWGa_yy8)hV*|MeJzv@Vl4UH0FuS<6JiLtaJQLNkziT!Rrzn*o!jYWm;K71$$YNJ4{ zxVAc;FgGSO^nCkN_SU#tV45b|2JsueaM=eS&gQmz@VKlCyUL?Sk2crbS+;obR?>cS zV@D4k9vvN*i?~&9R|g$A{!FtubFyyVCbo=1V-vhMCE&7{7*SzoB1C$6dT>t*_jBTZ z$IO5~Kbs*SdS%DGeY_b10@vowZ$GnY6-GALS9GtZQP1`Za$CQC{(K8Tx=4?KtWd|T zJgxgK=^X6YdKJrf4a=94?16L~gx@qcI6LKW_xj!UZlBLTe`SoChhv}Cxr^i0xLf|~ z&c2+#xx0G(aJ5zW3tqzrdQP&3>OtvR8(w!+O4SR z>bY}g4<`URMv!eR;DYLxKE&?oiuD^d_#g&iRT0rPC*{>uhl~RzN`w>1A2LB2n?{fe zm=J#uwI5PC-;N&$YYcr_FIlP@deoWt%`O7%cGRk*XS(P7i+-H7iXUzV^M_aGV{fOF zU7&G75CwPcoHI0qhK2@3J_;bw!9#cL^mOO1|Mj7Nj0J7FtgtE40%{53MENkPsWp0%)WhSikF&gu>@0hxsQT7A%SubPqhF#C z^YZn@_)YElD9*6rNsT`RIt@;+nKIUmMQ3KjfDZ;#`LY!&Qdh^HKI-}FLotRbmWMYr z{LG0z+V>wldXxrMUD^-~Rx9YKZ~l0fU5?MxR6hLh7_XqHEVQ?W2a#;}%MUnW4AR^tK8!>j$mo#tXTHSnbj@ zd-eN;<-=xQ3=X_Da{gSVYE<{>TuG_P14QA~_h(Si`#RfROZ#iD;5Q);`o+$3@->XG zc$HHYAVKUZ7#7_o<33!Dh0Jo=xN%a9rAWn($)CI8L*^#-o%lxp(R+9ZO81`bu6Yr% z#g1BJTXWcTG*%I6BN+NhLgT+bTPGgNMvK9g;VDRl7X7HnHJm#2_q(ce31KjrYlvqk zUjSRXZfzne06mdZcrhTvN2QKvu2G><1w?(gkwXJ<$GCMtX`J$?AWgnx6E(wvWj`snKFxE)Q4dIvV- zQu!M9E2$>?0!@^>yuC-M{aAVQ#EIY`UlhK(^zZ-I;@Cq1FRAwv*N*J5iWs^?qvBPu zprj?#FSN*y78hCspC4h`MA2QnYNZ-Y1+_5VC^tv7I9}C?D_7!6HMzCZrj3x1$X{@n z5<^Yu+!PtVk~_nq*E>7UO0-$#zO%N%P(`xv(>7#*ett8hLti{y5_@Oyxo^MZa@!{T zFT%N>)J%dOM1>bdL=chj*fnv=$#w!5VmGR*EiouOU6;*r{6rG?*5D$h%Cv^um@^5 z@X#X8YMxJGtLP!JvbkS3EfoJ2@ywYFSy75&rgfea#bPKXQuOXFYp$^8LAHpQV{fsn zBA!#UlvDswQBj(!@7$J`Gi12frAwCtfIq}cdt=qvvu6Q2^Uze`;2t0@Dp0gAAdiB+nhQC`{b~aVjH#ErP z?%0U3hb4#sh+BjSbhpTj_BG4_hc@2bs^;_d78M2!!77jk&M2r%FD4ixsva9<9xNhG z(I>tzB2satwyti^_eXh!i9vr}$7DS&#GEsriujuI5=3CnkLmThs0D8gny)d)83FRi$MUNg`XFV&rncl=-)OC&ivaA<)HDe!(j4)ZxP(h$N_p z7M;@h3bF>>y$bI#GE>MQ!Rbpo!5$rLw3}q3HMBJCLxyl&6Dk9d+1}Fb|Eq=Q2dX*a zXAS7r-rn?1kBh5@D8dd*ardLHj{4aH2~a>l0Q$nii^asmXgmk?3p#AB@;Kr#1xdh; zvHqHuhtpdm1alBGYM2vW=Khb`%qND1)7$dKzcy}D{4u+Cp2IB$qdPdf;nVi-SICto z0L~7cEPNuhKe_eBeq#IaEoJ58z!(42T%vZA;>y*PFzA8OTXQ`{Jw&mSe)#3(CrBED z_9Dskp=5JP%3K8~<*ap2Vn$!nm2q(eLR0nh zPM`-FAx{Q0cf$S5+EiOuPgW5nXS@DfA?1p9?^bXCtXU(JcgRec8Pyl9)f)9A>-^?1 z2mtFyl=-%uJ3AA7M~2zHsnNJs-`p9;sKIsq{zf9f-nBZpHp!2kJYnt)&n5T#qGJ|o zsh#obLq9Wt>)8YXEq6Bs59n5;K2ewc?&tB$O(({Zq(evTPBskKvx~NO<#i{AR9&97 zv2g$@H12w==(M8IstX|=4gCMz<`uyojS=pV7 zo_8eZ34Z-rzkcIF3v=phV0N0TK}p(%lgdC|6xT7BVfnKEik-EM8^T=zZ!L8)M$O8N zLf1{X^6y3L!JYv@CQAMK^*bFG*HoP|k|T?Z3z}zMEJvu+pteFOW!Yfz2%8=TTzZ8c z@5xV*S)JEKh-V?#EV5jnjhwXOuvPCEUO9%z3e&-n>sq)TOtk+YOb^w5i{FcJH}9-`HCuv}l6VM1{!N zNlUJZoUE?y zGwKM9)8?N)DIjZK^a*60q^9=YxdIpihgwC&E?$~RM$78!p_4Q;jJ%p1dG*$w+qZ5N zjExo5WE1cJwr>5!!$3-MZDoF*APRHMefwq0iXmi6h(j~>M|31O$)A?3zSFRPCV|co z;E$x$gM}_vm*?n`ajmP%2qQ%pG*Bq&2_C5+8W9-;V%!O~8$3N*IS=Sn7br))zPd7& zvf};S{zzaLC5wog-oUrMk@3gk;}u7aT!+dEVZLP8%V*D!f%SCBqplquGV6ziQjccA_ln}U zIAx6X3KM!^RBTf)^0Sj_=?&pk5F8cIojGArp#tsWJ4fdbsk0he_+G<}P z@0j+R!okmn#aS&)wj}^_%9O>)Hrp%RQRkFzm^5+Hd#&3hO78BgiT!iWdg!0twc}Qw znp5Y5`X-?<-nzAK04YQ5?K^WrEF|YIUW{7qMp~Np_g^B}&LG||UJUmT5($34%)UXX zq3yeKkcml>P1h3_OOfCr*KqE4bKxiA5pz3gPKyT@dgNbQ_h7^UZsUEOow!!1in*we zi;{Wsp`#Y=DjHGkDkLbajbC59+W2~} zm|Qz|JU@9tJ1PMyOUo5Gn^QAV1u4HAjIXaOTjT254rf5R-!=QRevu_?f7sB} zRk^Zz5;z;D8yGM@6u6qhT~AMs?xOhJyMO##P8OgFSM3zNFLIP2G7iZz}H*s?zLrCsO-LqG(?kW}-FF9*{KIuH>Z5cVajY~5uQHXputEdQ8l^@W66;4 z{?o+h!JF#vYKnUGGarb~TxHOlBpYLMV{FtZDJj>lYZ)0CjU6i#X2uX8vC#%EDah~M z{jhq%c5pC=VDdKEwzbnT=qCU+K%+{{7Z|fExCNG`u828$6t~;ogoK1S;nI}f40nZz z*l_Pbl;)~D0lz{1eLo=~+!-z4KjfPH`TLjIUV0NItY@GHJssPagev{rf36dY%3)3l zh{+~ws(D0`;trs&L+1|dy*x2<*~!@Ih@2BAPs)rQy~)XG@v2q+B(fMA=X*y*4a%Cq zC4`>C$;l~mRN(vns|5&%ZKnkAATpwMHH(E`3^KHwIBnXLDfQco4@@lS5^gqHS)lZw z=dr$bXI zV`G9;+Sm?~D7$L4yZv`2LMMsrS;(qulP_zMXsVwR%wo zeEE$V&+p&AP@*s^$mB4-)w9+wbXZ4EoicE`E4+Ph`0$cQ5Sjh^MahC7tVu>pdeo@W`d_q(#1DcJ zlz!SqQ_hqjiea2Av`nA?^A5@c6*_Wq@<0UK{QXOV2Mt2pHVI-0QU!_+*(3=62hL+Y zlmcY~51)ITID17YDRe}q*|t=D%k1r0vQoE~DM$7GJF|R%=|onnEj)UEVPTn5O}=k$ z_tvccSe?{Jvx}{X=M3MX^Rl#OxpneO;wFa3>NF6j$QoqE8m#;I++d;4;_)#jPf|2~ zFr1qOeFCIzbGcY{!f(}j)=-r<(29l00Sx=c(7GC!ZUc+&NZ^m-Y&6H9G( zhK;+W``WKIyJfjUO3Gz7oy+v0d0G4Z7c9{6N*kdM*rjk`ji2kw4b$SEK7CxaV7?Ww zEf13ZG~M;-&aFGAOqtS?C={N$X_G*Z{QJcsviQTy@G3n8%_uDFyI-7ouO|E&ay0I?{tW3H z)bVTt&U!ShbcV-{A3rmFJA;@g>ux}I@Jeu$Aw|1-?V7+CddwouIG_iLlrS=ZLJLtD zZMPuXEqK7tt9a3#JfW=a@f8_E$-*?&kdQf%_hLvC<_kg6!p2$;Fy$5T?e`_$>)13u z_S7k_8LJ|5zMw6}qn~=|5}ZQ7O|Q)x^IhJ^aoJ`wnFX3iY#vqq`8 zJu3{Hb&iDa*R=@%LXu%pJ3N(!i5kS!?0Ui{vQ$k>OIwT{w|?beBfr|K;%eW6?G|0v zq3K)t-+zG1-vD1|!zQV#)osfH&!7cwhu{3+zG;F~i(<79DE#?*_o&CbyuA2}M#;%h z&xenb)D7kJ#9@DTv?AVNiLLF&58vJdsO%5yx5M7P5^@UnDbKV0W9e{ICqI8)Eq7yj z5-9=92uv^yzMPVBZDo$Gx{l}j6RVBVsM;xUeCw@y@Y}qi1+&y*;^P<$rDSpG3DUPq4m3t|5+YJ~8U07_?ZKW=IVo5Zj!Ich~oB#COqqlG6zUf-Gz3vOK$yrIr z=@&;A7aeST_yK?J7BU(cGOO)FvdAjC|NbLNvY;G)(WgNnyv$+2<@369l%w37ochX+ zg@J@0B}7wCZ@`!Pj#~SK2NY#TY&VtQZ}0jrv`=2LL+Y*T*NKGH62#E~gX{^sd)}7V zsW}DpU6M)&hfzhJKYyOs4IN!wLPj+;uOYXbZfH0>>|U?7U*Aq+KzG$eXK-aA8v{H| znK&suJ)Ji~_oW~$Ei&;$M^mlliRdq$JaDKh@P;2d(3h85^3PdHthc_$Mbe z2v6qq>y_+uz~YX1ku8rN3tY(rLvj+~XDKNz&h_eX=f=Qp2oBBE?dm)~!|2jGoMfC9 znya$!O`C>*Ngu+QXz5YIhK-R9Up-ERJc`b)0srE5XkY9YIxCGy7qQ}VWgk6$T$|yg zTi3fxagR?`eox8E`H9{8cW4&{eE8wA#>B+L-Mx`76Dl^U1vZ~MVt2FY-S-}VkZ5_9 zI2hQu;H2o`Fa#K>i!_~nKac1Yvu%+Nn zOvK^KTF?;@x|v(*vaNQd2_Rlx)-bhqDX%tkdl`!DG4fJ7oVj?T&WfoT3ZbFhJ<5Su z?%m;StD|clX-=BNJ?o>LFHuX@`XW2Wx zqrpaxhH(|Wi~5oYj7og->>2uEyEI!Lx;((K>Dxc+=;_wv_-39x>-76|D$~b7h4?^Z z2Mtiw^O#$;qQ&M9Ce%T!0)r%v^NHkk{XE@?JJp`Snsz z3_bhm37#vo+fRJQ4P$YniJ?VKqWUfkcYD7(ZrYT~m^aEe{ua_xtYWmsdH(TuZdiQ| zHj9G-c)9b94dMe2|MCqPQmQp6kLK_OC6+eOq(TdcXmch`SD-}Mj= zp;M%jsda>+Ea0bd!(4m*8}aH@@gMelDlZP^Zz)Fk)wt3;T^0t=I&xzr^d`hYeL&joML~@&!rHxm-@NW|rMJf9D(l8bddDKr9SZ{AW^VrPzoqlc%qWzhG_f{a z*ZfAKm!XHn+nO_kTnYo9K{fbQSTVV2$0GE<~s@hUqq8$4wvzbkMFn0;f|gKx~H z`ot{(>6t~b-H~Ib9JN0u`(|~cN!z3ood0^$*2{?bSzHV~);$_xxw&qc!;#+o7Sg1~ zrReIPvbq>;k;GV_;JL$_{}^38-~aDl<){bLQW7I7eRrNn?U$VO^Vhh3K?$;>+U9te zro2LCV%@N9`>tRmb2X_W0b8VB46dHvilZ8{~z%k{Tc{9K)TA@K8l z`dXuao_FQtQ+T>Hg+>}b6~sgc>+F1dfv1)D(PM-S+d>J^JT9d z;{}dcWMG}xwk_NHx9f@(?-1VOwL##?kPOLDqnHrUsu=KZ3Zrg-=Q*u7z#l$+%Dgui z*XLks9{TT&PFQjfx#fA*5ctFqSk1_)~*Z(g{ZmDWCb9ca*Q+m$&mQK|Ztgc^P z^1_00Y{aowy>_Ng@?{S_d7>pc@!F+7`%84Rs(hWe5|MonB}NPBO$`U(kpB5m+N~S? zdM4z4e8HJ@NiKINl1RvQG$M%N)xCY@eeQiKZ=qrnwzu>CnEv0|-1r!rvYulTAtz3q zI*IS>nNIp-!Ea8EubG+fNs~XmvlKyd=t#-QfM?Ylsi|O~ zbJ9!&wT@~qA?&e#caIic|MDBK4I@b$wK`{;yq-A?t9DKOc`1@^dR!nkkvPP18Ulv1 zGZc*d)!Xz& zCCWUnw+H)mJ+1N#g#e;C=*|ex21Vs99xnZe_6+{s{mo56?N;XcWL&=djqS;J9+oF3 zcWw5L6pmeU6^liS&_g%J%PspGE-gHE>{y20)YLqw|8-@PyV%!a9GMRR~#L0 zfA{)v?AQwn{;O-juKcY~q*xif0L?ZaUdbE1L{N&sksc5MHrm%iME^e~cdOcGNiG zxr#K(oN)3|VdDt1|CSq=dGKI^(7%6L_KnM@9I#8-v~lB)Z<2Dkt7}#z+Y*CG0nS0s zcqvYp#zqDy4nk-$@z}mu-Km*Z&6JsxfGqRC{{1pC5($SVNp0&-Wi@4rQ<{C&^y$ID zdjek!h%&#Kp5A4 zIa-^E5o|?gY?d07!9NdzE`6$?E+XXSUh#9KmheAv9q1ZS_HxUzu~1BV_Slj5baoQ8Gc37){8(e(R7OJ8kdfU{E z-at&J{oo^xLK2JA*nV9DPVY;tYi*nscckLEq*@ zI+0H?pmFB+{wF;w7A|BuH4{?+gqZ6V5gc4JVAIAPgZ*abX!Ln^Y*g!GV3*V-t8coM z(_jD>8*ZtYfncK05gl^Z=DpSNF=QC6RFh(3)AJhpb>6&m$*tvRY5c;N-93$2ckkXU zjUEq%D{r*>Her^PlX+K`sdfa84jvM!Nv*>;&)U4Wz#?Kpt`b57!gY9vLtbMn#ku05 zcp6RntZiHd*@$4~`F8F3FU8ZK8dMVjGIto$!?@`9XBw_iV)yB9L|{LM4}bCUPX^BIeS_iTdB+k=Qu#@(lN{0mixX#QRDlQ%o85!`m zWv!Rj?ZjaG*0mqMd|5;W0@oFtK3ert%(eIO`or79bp!^78X;rTTU}-yva1G#+~D5J zTH((z#|}e&&U7Lggp_HgB4TxcdJ)@0=Tes zj5ug?;N6L!(jGDQP41u}{1AbE1o?LIk_%#k#r;wO&NA#7Rd82Vu;{>cs~ksmt#Ig) z2~xI-$M3Y<*mlXj)y;g|$=_I}v*y(`fdUKQ)(;)Ms&`R=`M3xK|6Kh3TTO;*GG0-$| zGL%s5aCb7x+tzwr4cKFKQGjexprJ00({j3tGRz-A3nd=mv4{l8d4Lko%=^Ri8j`ZO zJ$zu_JoE*)tjUj&dlFz~%#)sjyj!VD!vvk4n@HsKvAKyWvpvJgK5c$`E5cmm{=Ivo z2ZGa}Z=(!JqsHg)*sHg*WoTzV9T;JzjIQYVty??6tP~U!e*73sJf3T5z4xw-Io<2Z zbM@U(iqtiT>gjywkdrytI8-QNZs^{1+S|Fa zbJah<&`wNxUi9Mk%5kECk;g)fEOgMf6@GME2GdSXKz#KY+^OPb7w5&GE zcjTa;8K^{|?a)*qbfZ=gU>~3$fNfk*IF=0!b9%CjO_Zaoat-FoJ~PCUD<%R8-`LQg zrB!7d=YHPi%cD3sEswgS@R36m4QvU-9X71*{Y%C&`@!!C-%$8!rW%bVe|VViw^)CP z?y}};+3%#mnJE{3@Hn}u!jHkIQlbbg4_SmLsS!98X2#^R*0h1E25_^VGE)uiGsN0< zm;bjYJ3dut=)A}(E1+z&6=%*2aoL@E<%;UUQy;&6Ep<&7*J$Y#^)!fsoCz-$66)tA zeP^WRYHSb@qo&?3EPT&MCsY%_{y57F3>;LWS>LZ-zecrxxahsv+_|S>V}rK}6bG~@ zU|+aDSlYA`01PCZr2 z&pHd(1Fy<&rOsxS>+Cgz`mYPv??-47y=d*szhVuaaG**}oqDzKRZ>9Xx-k!Go^1a8 zdGh@EVHC|^q?_)wex($@H&oo=Yw7${yDuLcRRWY zxJNjEP44cktru)B6N~^pkd-yvaS4`o(%x^ntXoHhLFa=}=s(7f=jf=cdb3AAOb|T% z$k^xD%MF~oTahgz3UD*!@Qt16dyBx<=u#cg>pk^&6uIuzb$!2Fjgt^wcuHqr#9Vyp z%Ty%AM``aZbcAP(eEOy2-aVzom;8J?c$#cexjV$vtcAcuX3zbUk(t@coMN&1LD zdpFmarrF=&D3+6p1@EZ$xP9po$yhn$6K>Es#rF?#U=C9yMw$4h#@;O|gF*;h=y&-q z^*RKeU9+5$#b7AFQ>gn)I$B$Db8*dHB_3BzcD>QYv-;b;Wr~mD~f3PPSXM9*d$nHnI>Zr}_w~JZ6juaq`q|GE024A~( z|0mHP6s+8e+Eb?ZZ!CTC=n=D5Xr`3%L(P<_1#<7)dAXr&Kw|XIe|yc8OQkFYgRnSJ=6nNO`J*o`SE zc;|$JOzg>NqW%TPRaaNv*;E~SENV(qcozN+8bv{0i{2e9b~oJ@=N(h;e6T0g{;1sA z7^+Cj+puB7(x61R&A5WfD=WQFpb<+9KuqWS7soufCP4ign)1=3kxvEu`*m~HS^GO) zQ%D&eakEhA0ZR)ive~$^!&F7G@2LzYr+@}+lk5wy|2px-LCl$77A8k`NUa;7CVoVEM^G`kfK+}5)r=#mFbnET8L|85`jHu(D2s>)^KNa3LYRYnjL!|Cis0FA z_ing2S^|XCCr&JNoqM0EiE9ww4|(x%JKu2^<>x3rs%4=a$0 zpW_LtL4eZ>0&RZ$5Vu&UX!+38bF8}0=m{#4)7_pap~(q7 zC5dYhpG529pFY*ad769r1t~!=jvs&V`gLn{X-FOs5s}V6fBJ+=7d>vCuQe*hvc0(( zwMEwMzuH4WX|*rRI;+3^v)G^z?6KGCJiLgr;K49A5aPd2DS?7`<6R^OG2c7f4}tI-ZrzGZEauTUS68&08}s(W>P}pI$rl=TOS?{p@XTb z^Yh5g117;8K*y&gqdsK{lU8?7HxRYo{FfXT*0h#TM0bur+O@M;aZ-jG&GjHl)v4Qh z{!xV&-@pG8zOv!^;jsGgd9m(|!}tR;6ow87MJqw?2$rx@gM^nyj~e}sjH;IF3=(nN zwPPqWQ)Q*Ol0>WaC~UhNAJvigiIk-VQQ!Dp)EO;||5!TTKkoEtp1|ZNbH3R9kWgQ5 z@0e33Wh_3#OV@dj0hpeVkxCf3xeBBpwwnjYGMNG6=%~aKWU2`#fl=&?WrM#$z))vV zzt}HdG8_TU#*K2)(gdY+m1*W59Brtpt$pLtr3T8*(R!O#5Eswkv0!5vJxt!84}%jb zKQuMvZ~OG{s>ZLO#`4p&ov%1#K&8s-dmw9qQyjdL8pefo@AHQ&tCR^XC({+!W8eDcFXcNPR+6+deY zCiJbY&e7Esplz$ZJd)_Vv5u8v14Sszo~L~6<4flCY}M$#(S7}re>U}7@h9)&d5a{B zKAgf(%Ir$i*oB2otb2-ATH@6MKg%}HTQU=O3eODmYIebU0)`N#;n2dxY>b^My7V0x z2*kr>&fCH>?Z(l5718_Q!*vY}w_Qq)2!8*?i@-X&Avbu8`eaXYi;&>+mYQ2Izk~Qi z&POD3Kf%~>N1Z!&4mmyky6K9F@hr*DU%tc{?6`dP?0cG0qTW z(R-Bcaz_sIT7W`3rBz1C93FMDQFDNFI5&D*b2EB}pNKJ5=lYBoHthY!kF9oYB;-Nr z@x1e<#Lc}JIm%GFZ|G9HrC(gvb#?x2t8VU3z=DUq^->|ly(RUtXUz)qd(&0(DtB#f z@BGCYUw;1utK%0CD2EX$bxL9|2^we<$9RLA4ym>iLkb2rJ%t6E}F_y@2T;1K}B_s|rR)V#*W(~=w4Ie)qW$yX- zbzh#nFG3*-Wl{I}^DP{7cc`7zqmo(I^^7Xxobdln` z=`l$GyxedtdqV}P9%@LTpzc_1Zf2K${@CD2VKsGXIw(lR%a`iQZ;9+R`Aj|ar^7}`U?OJ?W@v^w;G z`n#K-p=6?GcwJTH&3S~*@5-v&?CcAI;8D&P$}A#VmSt@Ck5>HLoN!xeuL(r?^ji2BJjwOCu#;b zyJ#=tKIDT@I+8Sb%mT(JPH)SZh=_&x+ah)9*7O|`iY^i`;Cs<(YIg)WpcWXf>5|RO z&HwxF6;~oH3t|BWhi}A+eyFR{VxO@3;iKCWL@nYym9}H`LiN+lR&n6}HKV)VzLCPh+_Kxhy#x4D&!x2T_ z#?(o%$%Pwr;>1XrvDV#P+amcGM)7!cn!bLmT3L-vh1RTN$8uT;oKn`V-+%Q-p1_uy zKYu=GILt?}^Ir@Sot-USck*Or%QeqWOii7vs(K$0H%2Wke8>R=cJ!ixsL37Qq)rIp ze_jY?17q{#W<}V5E8~1p()1jC277G!acUX|AvN#t@e3U&($=p1gkBonmm3}Hp&(xZ z@@RGL&L68*tZ;O!1KVz@4iCp;ATAzfxbDf*q5gS0>wSMh}5%FWGX(;AP777nCWi!o6;h`?-RNM&Td*-alV ziqi!CNx8Of-`;zx^3WSR0hDQO_DHCzG>o8q2gjC<71z1S9oHwO&Hlr4p&*kx-@C4q zW4|(;zjZ!ysGJrrX1sPp#AAx2JGr^y+IhW(-u-06R7oq?mSw4m!hajJIbA}GC0>Wk zK0etiGynpjH!ZBJUc2dVT(EE~Ei7QwWHVI9O&>@6Wymb>w|gwGy}~GRLyKU)LHUtI z(ZD92I|mPu!1l8vP{#i=!56eSJyYymsjlQ&u@d z5t1a^?)3DO88wO!L9OrYBPS;ZOz{8vX{3@~XX)B$Bw8<4vt6}nmExu|Jrdl_4$GIn z_xLk!;D5&3svZX#3x~|2T?vOV-STR*>2(ndCFv1L6t+d)?jfe9riC`xKblo~V$AUfpNMuD@oBoT(l!7=t;NKs{ zWpNfHoE&5)%}kEaqS}tBCqE4kd5DIkcWUc}KjrmLP5fm;W(AG>-mOfe7aoQDim#qq zzE*=#N<4JSc(X_+f0O?2j{YtjFNL#1wR`JSQi4i5Cy;tXwTib9)!A^atA>WknJSFP zz%D}9p{=Kv@6&b}rpD1R!DvxsdHJuFPYd9D*tV;@%v0@t|J`lf$G5w4TEC#{>FJyi z+mJy&_#^8W*f)Onp27l`?!E@16E!Ag%gZf?QPc5i28DIMlG=CWSH}CL3=T7)@Ro?) zu}(Y5rud7X21CBL`S4Ynw#BK!NdZbr>}^NqocNv zk?MJyuT%o`59-mSM8A#h^wonV61W6%i(O{UQjdE1`gPI;m5UcI3Z0ce-p79Dqbm%2 z+DAxCt1f!q+4@AqzL6!7z#%0iY&%0VE~Ny9o;0dHTXEBA*ZypS1>p<0@NBU(KtCg6 zV3&RQvToC+h?077Vb?%DinF#*j}gcWbp&t}huU8Hh>#E}qA2s$&6ZF@AR8pJa@gA0 z9k*B4#p1<*+tD#VIYOl0)B-+>rE7t)$YJ+8JHAT`n*tGT-?}4rYkhWT4&S^;4==X$N8IObsi9WP+569QZ-&g=2`sN7hliYtVff$>%Du(ti?-~BoaTPu5Rx4 zdP`R<(NgeTW-C{&7(Sfe(!Ke{f6wez*E*Udk^7ej zr~;vPFEc7C!w%|bC`p&)aNpXuw0UVyBm3{Sq!oH-%nAbNO+iiu%rN2#_?+Dxct zA%o!{L$WZta3zA|;od?L2KK-XeCBqO$te_81O9Y%WS*YQ{{ad`>j5KZb&;tdPo*_h z>@R+=VC>_GtOj76rSzIhs7W2Dth6_Z7tmlsLbqcDrIXzg zCQxu=yWF>TpY#Z+ciB6*1jsWEdiV6*PBF{&fqjBZAe#iW(zln%{D`toN6b}(f<`rO z!F9+)CNPXdYqcYK+Y*1wde62fVe-3%x@BUy#K65tix14z-c3kIZ8VsThlT;Hnjf;B7nYrq@Y?v9V6FtBGe_ujP569)^PB_6S9gyw2j@UFJ zI!tGaEJ(7^kxgAHapA>Ru8xVv+Q$x=t3=FokjaB54-G&tc1%ASh7SJAqFbXcsXzyx6(>8}pi|{-Vqqjs1oTB06l&mN$@TPf3Iz;vYHH z{2@F@h*{)>m}mXJ1pn?$E49I?MW}tS>U=03%yi%XCG$$l%Y%b(=5rH(Mw+YGut>00 zA3S)_=T1FEU`xwjvJ~f=okPeP64GBbf@n8&4Grl*A$6Z&1a9rzdDQ>-OWlINylpaK zBFZ9I`z6D;I*oAi##xP*5XISjd&TAe!}kXdKFZiwp>JTIFn!y-($axf{_sILG1iX^ zYxbHU9E?RpBJ7_3s~jd_d0{pJ>&wZ>0h6HkZ6T0=oQP5vP(y}D#aUgnNrwF)!sLvJ zmR3w(31L$~9_i}={rkt9It4!1Ox^jvkzc2=*op)%QP)j7T3dIsNl^Gk znSUfTgi$;za;86QkN(nGnWji?AWb?-A_mC|o0=(ag_y^{Gk?*-q`gC~rKVC>4n#3D z>55H{j)&JQS65Xcu|4!X4VV{}m68G)`H1p>mk3iYCX#;h=J_jE+= zCgutj6{<6my3n*pha>KtU=+XF+B(5@q9EQuLV~o}%uR2P$Dc6ND(GFQT1Ej{RwhtM zz|IoD(cVeW+EeFe!*t@?-pbjSUx|Y`(L!^so;(fw{-2(C(6V=+j9aH&DdeU1mKOB zW%d`ETUfF2+;y3lhE^T@8%Dk$6G!4>?DVhUj=OUQY>7&o_zunj~j~TRgU|R}^qp&F&DuC~Xq4TzH+y2VpSa5J+Z0yE>vaR&$v^WfU{wY2T zaRzbIz@88R=nUw)OG*Z`PH9g`nYr<`I+y`D77W~^d`I~*(Yq}Fud3IB!#LRu;(q@4 z@fg91)32U@Q>ECUZITg~n2ZJ#nV)1sPcb*K_gkzO{*kv;rV^fXm=q9FQc?#20Id=! zAsO%}eYO3$+M19%XC;qEtS!>_rXBHg0s619#)GhtQ zvlp|()V3MTZWg_7;;j5DWXi7yO|eW(@p9q%O-g&Ok5s<>Vb9Q13$gHh-x=X%Hs{5e zst{-I>#vXZE57AiT?r-UA7#3V6 zVS1zCSdC@|B-v!$d%8Pgd==Y@wFpFcBRze>fel->D9X#v*x6XQu5#ljWzjSLUu9SS zl=L0PzZFuJYh4sm=am|vrkR;FOD~qi1tq9!BQ(n=*x@3zWh|T8d@k!;QjXM)mX@f6 zXw6RZA;X*&J<5o)tY&Cfol_$%AA-HO{RR7l<2c~>!iUf2{eHb)4+d7Ddx$E86+B&| zP&73KczE14ns6dD76k=q?hi?ximx@&%H3DM)C1K}_YO97)QH!9Eq2q`^r zc)0bWEBXnyfL)ZO7VIW#s(*Be^=R+}JgV%4I zNK{!>#jcdWM#YT2rI3{j>-qe$>;!1htUEN&ZqUF%f-?8cAlTQsD|K(MY|V-X_%Z_94h8-<=7jaLNaVh9<-Lu*vGoyFWHk~Laz%*Wfs>4fzEmTSa%H99t`uusb z2&q^I`$a_k0m_1s4QD=9UTMi>3U$#%Q9W=wFa%@kKwJQ27!=!*Bd}Eb z3~m}I9WGi-?72>zX?pD%@zupt>R~$F{6zl+f>dH-=M;8{{PH_qq9p1X983%dU`qwz zyut1nZ5CGuK4xYtZ&+o|o7%D4X?`b079erYCX<1$Te&RT28h#=itU~pIcTLulfMAX<;3|>RVsCtnp=S zt3s|=#r};4@{B1+S;eFZ(MU?(c58whoKggkUqi1iP3tmN1B*Bnwg~h;J!}>*LV)wA zR%6IKNpca|d$dpYhvh`pw5{{~C2I5>Q@R1Cpca%C0FUS^AbS4Nj@(zNf2$MuVViW9 zZPUIl9lr5v=n5@gk}MEl#c-96D=yqsQUJSNdpZQIxJSgw9P)Ch7-r?w;I;$i^RD08 zFtaU@bx5rk`7Q|s5Gp=ktC6j#;g!_khkB{8~ zEj=zpsZxam2g8V&-nkzu8{sN2tZIO<49WrMBLKC$%5!zTZBG0?wH0SLoYk9~Bg-HC z-bf-CKQ%2nmTfynZUm(-83-uow)kh^!oY6FX;vr@@;L!7wFu?aP23el z=*bQ^+h63u7#MmLmh)bU`}2h#?kp9QetGkPJ7we$J$gIle$>X(mMulhfv{(yeI4K|=opdFrR2@d z+7#38gAoX@IQwX@+kxSe*ckLe%p2A6j??+oPT+$$A!A}(CI!borkpP(ZrsOT024xd zEnuDPLT?-~RjY|xD-RR)89vd7ipey1_D&nv9;3LbW(oD@v&o{4FT1K@Sg3YpXmfUSFBUy&l zvKN?^){u|SH3@2?VHOVK?bL}YP`aR8<6RoVuoQ7cJITaDx2%Di3CJNB2Q3?xlqm3l zQziLh%o9qpA<`*l+_G#a)V;PvYQ`rjL9odLQA?b0n?(>b2ZA7^cDS)V$nwRV|M^gK a>ya6!mmSyk-n@{BR}*X|cS}uBbmqUkq419Y literal 0 HcmV?d00001 diff --git a/docs/source/tutorials/images/SimpleVG.PNG b/docs/source/tutorials/images/SimpleVG.PNG new file mode 100644 index 0000000000000000000000000000000000000000..bf8bf37fef2f012d6a903d434fd1d148697d859d GIT binary patch literal 143544 zcma&O2UJsA+bx^|p@WK45l{gYL3&YIupuHvAav;+LJ?_F5>UiKQ=~|@0-=KhkQStb zB1I5F4@i^VLkWR@$MfFre&?L`j`8m?7)gM!v!1n{HJ>@>T5CVo)6rmIGEd$TIK(_R-h41}g00n+HD7IH_x^gFq#*Ob0f!z-I=p+onDs z(20lCAMm)NKmZ7I^hxuEx?zCj(ilUshq37_#iQj|i!_m&x6aE^FhJ*Tg$pfTe^|;2Oaf%hci}(GfbI!e``X&<)5!RI>ih%xQpaV3S9d~J*HQ>Ij=L?M2Q8C<-9h7CD^+u>ML}bWPwV&d>Uph# zE%#^>iV6!}mG>x~TO($zCI5nmwKNi)LN z0k35@tDt~i?3s!O>jFpXYq3YWu~q>)4Q>91M4%~=3U%wzjq$)pOtSh{HhR@A-uJ8= z>hzEwot3ZP@c`~^^~1wA&pcXfHFT$%%_+^hWi6l3TsJ@=jIvX&sgA zpOav=0GtUjKZW}@ZFo^&r&~;am%uKL4$C56Kgr_Bow4@hd=%09=RJ*RN%AL&komP= zT=fC@0U221x{ZX!oe<(qG{@lIMjnBP=wuR^AUp;iP3s=o@4ge*f9GvAy?W5K%4d1B zPl)x}c@-Nx?X{Uo49@q0J*{AuKlFK0CJmJDxvi$z=YZ`{vi-4;Sl06=##}S{7#0 zpLAAKk1an{sNd^6w@U(jL+vG@s`Sa!9%eh*FFLwfSMiU#76)q5EQM01LI!2YDR#ud z0%$wYd+;E!qGskrB;BKEl-obzc0&x-2Ig_$ zkKH9FHKjxIPcpj}zyCgE`wb&Hwayj~VR?NTX3a-`aW;NRvb=f#v~0gJy~UikKQNiT z8a%f~hgzd+%mk)xOpv^i$V8ybors6n8E3bDUL*6L1N0l~FzLoNo3C3Z23-aZo+{MX z9Nf)B6}a7Z+ifp8XrH9!v)4{FF+_2_i5-tpTYs+0ce!#Re3A>b&J`JpI+&Uo?@T@3 z<6h*1=*`@1IzRlc%h81j4=M+ZY6p!RBTYt1+23Y`fAAIW&7ltGB4xUjeJYPAt7@Z% zqzZu;wZq-XC+s@hsVZr)s{6l>!%^GDsO`0HTyxKL)$ zN>yW?hhe%0Z&UN}snz}`E8Z@( zql3u|00F#!%p|HD^r=z$T1znLe;R$> zrVL|WJZSmdGqA(Fg$_C_GNpjpREYEkP{D4Kyt%`B!aLrh(J`quzFhm+O(iqu9IJC^^kX~f z9+;)C794{lQzzFwI~d{4osTIXYHhLNubWS;b9pGM@byRZtpInWXezK$zGdeZ9c|Yi z64t&FYCV)^7cJ(le(2j6cT%3>xkShyeaU8_=5S;rP|Kz`g`!6Ppy=D~;MuQ5K&OvT z9GT9L5GR5GaARQuW_n~<*VVi!YynbzgvTjON_kc)mWLm}!Wf)s`3s`|cWk-1hm2}- z+Xg7&5;ZZE_K7hgK;Z6HN846vM&aWC0-riFcAbACt_6?O>fa*t=_nz$ltiw0KI%(l zolEy0-xZUJDj2@PAusWK7TqbD22CccG^Ew%+8+K8p#1pp10)?f>^enlCzoYa9nO)Q zr8=*v%S)t_&C9TC{>(TU3g@y4USE5Yt?ZykUMkZN^gQ)y+mbjifF*bC1_Q$?KWvh4 z3VU+n=&z5wBtmc#FYg7z8U4}$5jYjF(ap9z^g62OZ#ndlSC(n11 zjM}D5qkrg}e~ecb&FUqqz4pIiF(%7xDj7A69n2~S)UBVYFDVX${U?mnAK7Y@`N=UL zd@6>sY48V5SGsTSb)yc~N@7Enn2JoS!a67NhJ?uQA`CoG_bO!@=(0&Upx#uT?+FvF z&%>B8-w)lJu@gL7S%`7<7QVdSs-Y^aIyyMrvuJg+FT#Q-rzw5Wdtz2YW#QgbVh92u zUg-7o4?UpP%UE>RM-PN}YST-RJ16g$Aq)nUV;NJEZoGt~vb6626`|1pn6=)gShS9d zMV1jaZ!x;df7qg?R%1ozVnyh^?JZ0zrx1X8C@EF1dy<`BXXuf1AZ(sGRwq#;I+-?Pf;pMxqo~61WH5wW7Yw9-SOq3P#NshdMBS z7FQ83;~n+ZIvhYy8#%x&X*uLqW2nvkQ!W2cL~32M0;j4R!$Zkb zGC9vwv~N44HW-B9f1Js0=@b;H8?sUp`fu<%J?b^ zm14H6nqGn)j|v5dm(m|*r(Q-!$#ta`h-H>Ah5sMT$WaAKC9@}rJc6H|r=qMzE4eqR z?qOwj$chY~@6UUU<%PZl$Di$v)rF9suI|RHa%Y|(y8+b87?OIlA#o(_5wgBuT>q$Y zM%?oX@IJw6FTpOthsOSKb6TsN0C`Z#Wm8YdYgZ$5TH_XoCD}4yGU5*t4R_4+-Do?{ zrnb(mCKY@zB_Qyp*-V+(y8q|k1^R9Q#8P1Dj_;*Wm96!p(D|emIyGBaBTPrgNuf|6 z3r-6#=L&iw3;(iP!ybQ|)MT66qN_ zA6#QZH{ACXgK6%eQj0(GgDRg;lL`Qkz0V)r5PPXmGs)5zIG3&<@=co;z#WIB7qJD2 zh86~h{$Gq~hOHv8Y|ru&wF2b{LBO}Z+Nq39?p_8ma8j#&OAEhjs={{H<}B>tLT+}9 z`6p4G11f$R-H@neO!e0Q__*kZb54}Qpv2eT?^#lp#Sh*%58bk3lt;c=rxNXR+*mmn znxaD7RGD%|G=XwGjP6@&#cy&r*<{ulzf?CDDMrD6KB&+X6OVn{D{gd zot=f8`snthuA$2)L57CVKB~&R`fcS8xw!NY!CyljTjf`S-d5>>f(fn?4UU8j&m)p2 zUi{V{wC~xY&Y=1=0tUlrN)>b(Ud`hOM0usO=H=Nv0Fx+xm}bl1%^G09Y&!u#6*lR2W6XScs!<1cl(LcBV?k=^lmwZ(T#z?-N@i1SEB>Vps1nU; z{{`vW>=;l9v zR4J~xw~2#yZ*Eu=J2)ytbXI@(HtWg>l(zq+-;iSYLV2IU?96RV!sg#aizYVcFH`w) zrKmw!^c@lTC1E~6H(|9c_0 z2Hr99^w7LO3ecQu)}gnQtx)EE#bI+Qwf>|L9T9Iu%PwhM2D4b}LZi3Orplqy>z};y{m3 z3)!KryHrDBQUkT65edM%0N>%<(LrY8PH^{5lv@3!QoYYE37904BX!FoEtCW+@-QK0 zd80!@!1CZ17n^SAMtmeyxGsL1hL-<<`P}S`s{qV-UT`nO0!Gb0hM@d+X-LF^ow>m- z181J}fa-1o8|$B}tpOCIz`OOJ@y(3md`HwuV-lDjC@Bz--@Z$Qz%^_|Ei$0Pd|bL_ zUfYuwT>2M@)jgcnW&Kkp<>7nV09D{vrcSms>TLaET(A(ywL~Sz?CO5uD(~cme=y!Z zN)4LaFw=3l+P!kCR|}8zB-Tw*T@SC>w@xu5HhkYRI`IOi1258$6C2h0QeHV-oBtO# z`RBM_KOR$jFICmB+lbSQ|8o*d_OrGCCdu(7lesadEvwXZDwAB5dCF$}6mhp@G8?s@ zts$5{3{b({NR5GYsM;Fz93QKoQQ#l%?401hA^vDr;G7Wa1)ZA@Ft4){+WHdfwXLeh z>*X?+gJf~0zGX<+!qDwJPX@)HWdH|PCtqt_<{77~_@gG1N82?olF&oVqi_2tD=VU}P?kMUsV+?yRm&8S&G5)3T6T zs=BmarVjQpkM`C_4Na7svPQ2^jU9oQE3?Uy!-P80SL;Az^>BZoJYVSUYGd5@Un-^Q5uq5w)?Kg0)ojXY5L~dafKE{MJyr zYIHW}8GqaXwOXBfLTd*N0NZ65l}kA*70Bu^^=KockMULJft%nZ7)O@1ZT2@t>uCj2 z`jn;BI)d)e&Q+ut2aDod^2S&lR}LxNGO4>Fwv2JnYB$1)ySp#(bl1rC9w3($#_0&- zOGNRRts4-6=pw^?k_5p)|C$D;_ft^kmcaucAu z|8tdpg(NiSu*kxqz})~nuID+Wm!GSw!z4C(OhZebS z{Lv$qux0c=X+0WjijB;fyrAB-M$nj$nC|kMPbqI2ED~z#Hak5-H#w|#sFZ8a@VFDo z5swKQ6@3{-q*l+y>hbNu64&ADB)-hmjoKL6pBYACO7i%qR7DB=BzJJd!eTHHsHd6C z07u2QEYg3gu0yX;J>?h>hrLKKahonDlggQb6!JV^ZwQY&Ls6Y>mOjB*6H|cOv~HqC z9_o&Xhjswd|1UWI-}vOZE~G#}H!qnpbLUCI_|&z~U5y)GF2V=kx}A@=Q~^R33%r7i z(I=H*4h<%HoQm4eH%Pa4;4)BN`+bfY@E0&1E`C8NqAaYnPh9kKLW^K&w;9uGsJ9BJ z+m9VP=oJ-1;5?Z!MHfRESq-yigFaL}%nV6acUU#HIjF8DS5FZsU01*Zb;Ob@x8^`k zl_c=LJ#kf25G;6^?`1dXG#1)mXyJAYB?B4^@ex2TdhUPr=C)svG=^9q+b4PTFfg-}|p)9RT4#G=;ZQ-F7^QYMeFFsjh{U^m1?A zE%zp=unHN?kf~1zJ^4+7>RZ^<9-JXTyUgkfF)(uxb}Rep$o9SF1F9I#e`0i;rSK?}1AbhkoiCdO%G}q&Z^)ss!|HHja;Q6$ zo9q4*I%3rm6aCD)okzz|FX?JGe8)>mVKH?8p(uy(nFF~N73f*62C&|Q%W$&>DBZ#*kQWC_lBxF9v^2Jh-u;jY|Lgo!tTCSdQHh0) z0KNFXaCL`KkcJhi9QGBb$722SbFplvJcD3f0sE4F{s|sFXfzV~?h(O=Nz@HIt^DM& zxoHlz->?eYpYkQ<*POX%*@Z_+zXRK|>u+HI#oHZ#=HSCuK3kOQ<~I?iah={B3qY4_JWv zTXMU;l8r!t!+D)+>N#_koN&@P^vU~gm&LxgFBX%+9tGy`E9RWwNGsQV;yMlQHXMLt z!m}}E2^fqkqIYGa!n1PvwN^`J?gdg%(Y>%G-|-LN*g%{mNjWhSnul!y>6RuTzb6ojYOVUnze3T4F>Txa%lF*~R@<_At7#yU zwf^$9@`scMA(YUsGjy#hDxfklbPL)sQBGDRR25}gFwN0tR7b9;^(o5{x&{96g|YUGgkmnEVvqo|Di@Ajm1t$63C|4c5OwW?cW=W>c0kR0H6UAJ zJS8^F7C&JEvMc8HqK!K3BO09^nMg@Tm?){urHW1~-(~yx1z+q&`vuZjIAa01hSUag zL)v0GYQ4W>64kA}`YpQ)Yu&&nss{>Bd8yUb6`pTp?EUITit6I;5KRp8&2-bp`R`t) zeA`)6s%CKvsn=wgTjooPZ=>t~T^M%9iS69OjH2L~OMg}}6z4z27jAjsfVivwHR9DY zUg5UZ*@?)D`VMKZv)Q>GeU2EewSe){3~2!EpHz& zp7(n25TC->XUOZ+J#|1N>iaUE(5WZ|#W$#RIysRUB~L2rG%rxe@1>NGaCMD2YbCn5 zDRqDAi^*aVbiL4*_w%l(uRDIyAF4%sQm&0$Nu6Sw_U{s`4}yMt+=MH2wI|3DR1@k} zBHff}zoTo&^F9_zUPE%wq%dFh6E6dz*G~42u6%HtR8GshgPdD1s{~|*>IdDSYg1c& z05hX5+F*=pT>%%)4q%UepZ515V8ofncA_4LX&5J64WJ&HL&KZ1?6LWv-#{Sx!`A?4 zA2WP98}{gdX#yU7+T<-I7~HuO?Y2l;+^s7(L@d=U-2t}@eTHPgULtsujL39uVa+KR zyJPo!EYT%CcgstB{0>246FJ&8R~7Rhian=IU{m)My!iEKe7U3~{L_GOwwe%-M7(2S z%o{*7u+&w5UO67HR987$h+2tQ%#1wosHhD}P$Ue zb??;X?XVE<(-s1A^ofghn7R9@n_Wtt0j<~hrAIdsEBFc@B;=ixH&*)m&wS6l4Lb?F zg&2m|f$^d-1P`lM;$ntp+(^u@c%&~VXGm0VO>smMR1Hs6@ek7k@dW=gWPSWD zF8-T@g_Oc2*Vt(83QJ!|REY_@hSL+4?BTXnj%e<4oigNux{50H8CGDFb+r2PKJ)UV zZIayrso)j^=d=ae36srLiX2)>`*Q8~ zy)QnJ&#g;wzP{b+y΢TnrLTu>!xd@q#{)-k?X=3eyfPT(Vox&uK89l9)czr`(= zsHhh5!^A6Eme9Bg`Kj$#DSzmgUo$N%!LtG^_cK%1&6xl{+aFk2?f>7pXE+4x4mSs# zr>6@JmvEUF{gQi48@h_)6};4s-%v3>kt07~xMJ2)6xN1~C=LPVFf$GhT&?4#;}otV zrd4$B3TxV<%%IP1^mrm zIGr-BCwd#<6@Euh3PiUSrUiesd>U70IO!;0(OHiO3rB#&K(sBG6SR&hin{$d3-{vm zXe9&k-fxKmtF0U(=7V2Ba2i;{%o2m!sTYRX;gQzK^7T1k8uH{39PQ|z7QFa- z#ItOJxNBhTL7J0SeUr(m4 z-mF#vS#L^R#ro^&w?tUKV!X$Zg44zF(m(76*$J{rk_`H#oIeiT0V%_xKuQTM@WO?g zk_>~LjazX0jyX9*^aH74T>~UDGZY<)iP~bvZ7ATlaT}JINeg!UZ(^=<>T?#BE0&*VtlTl4zcI_UC|svqX%r6vl3xnh7I~j9B^@Gw~??Vg?wyj;i{8d7}=&j{Dl`m{sC%;2Pfc;#o(|q*s+W5m)$e8{*LFa6(`pc zIYCLV-%CY%N|Ns$>CI%jjv1mbqcl;76{o#>!=W`t@@TiVrMKu`@Vc@b#ouyJd?D##C+u0Ww2ZW{T<}1RqO-WU^R!VZ23z z&jguHU!9KfB0n8BGM4;)6%w~nqMD_ae78rVS7ZD1-qir*<;ZzATxsZM;-lJ~yl)Ep zTNiPCyCBi+Q$#xS=lZ+k>p-kC!(fs~P!uwbh!t9i=!dz#@}Bp7MgGoTB7^Obbg_?u z9#T=vC-?8h(CH{h4~T<>{+>hr9epT^zP1uF_Y18ZPJ$ziB-an`SDt1TGhlGeqwBAp zcp@M2o9}k^h78+x=mK29OC*lDRA$WC1Lx`N|=NV<|M4@)c+e~J_{ zJP#Ri!F~Z%fE_@Z{U2%{%JsKe2k`bONIH&=ckWDR%nzeeg722;(Oz?T-=tWc+-WX>eXhQ226TggY#f6!WGQbZ zv1B6S>)ia#{G!O6r84Hb3r_p#p*aF{qKjqo75fVhnV9=`$MbkCo9kT7?C?9kede9^ zxp2r|*;goCttN7bVfrLn#uRP+w}#S((aRS?9xqF}O!$g$;#_w+h*XH4)Bjtoc3r)g z#k~Z22|n3#2O*@FFD=pIj>2)T>D%O+5w5r3PWC^_ou+LuL}FGt6FGT{A)-)cc*-4Z zNnv2Tn2*tY4Qq25k{3kaMWeIL4RaJ>bFzADimb{;drQ@)nVi$;K57f3&hW$VB@&~vdrRuKKORZWK+qlQoCdpx2YaP!I zd<*p(Q0bEx^{3!!{nR#xsT8FO!07)aoQH!TaJY;$kEDT%*dCpgx`|eUfj2WZT}Ig1 zux1QOoxPZA3sFG#5$)24u}eTDS%vO-QMYF-Q?2gHb-TYN-@m-fi)vRVEsrQ1vQ)0` zyPugTgP+c1Y5ml0@TsKM1zdNL4^|JIEoF(!>^iPY$6&ycBHFXf%Uy42FqAw{_QAvEufX(pj)+cU)SXrO4@X^QrV{6)LhEl$IhH&JpWcG8VI zJlTDRgLM@_?Gz`}pgbGYKJUPuiNX?Pd5Jx6rGP<#a!sJb^;?rV5bmII(%*|y$9X+y zaH}83uSam`7l<|DH)epg)KDYb4)lOGj`{3khcGW*GjReLKPDqa$Ue143(EY5zJLoz$@+Lla@Ym<<@k%LC@ zE?A;<>ewdWYyYb%vEH}+-6Gx7+!QA&7)_t9QaAQ zdrYp)*VWgloTK1$kXg(4!~A)l{SO#h>z?VChiLmQRm=T!26c89_xB5a@oplVTUGxpB6*3D z2i9|sdPFB&hlRSqd5MO3_Fs@UMPDJ7J`bC0e`IVeN8l5!-4eaBAv`sD_ZfbF{(6GD z4^CVPN`pz0b0IRFi#59OTsf97`HdkgtW~u%h87O3Q2+8}-V%?&q_f9mL56ha7%M;0 z)>MU(-KtvLQWrCg5Q`V>eh#L^;Foj@Q%q2Dvr%$Efs4eJL~jRW9;OzJmbgqFnM22@ z zs+U4U#%eOs0RizZc&ZhOI}ex13MeZ!fyRjW8ow2h!qQ1{zl!|5$KaSdt_?MB9t(xs z!<|fK=7-`*XJG6gyM$J7v*>TbdyZ|`OqbBicKc2@=<8awV?$1m*2FD3!4b%W6N==7 zpRGplyT#CMfvVI`9%BJj+)xe@RKkBlyH*H0b#iCKn1>i}V339bs!iS8KV!9jC&Q)q zAt0F+!#rMH5yz-AQ$Ggp%`jgcfq>r_rDJ+IEaU^HtA`R@eLte!W=Tplc$5~2#&2_A z`=Q|F;93r^#3TdOl&L+5oHG>UsUV} zgcnG#H#_Z%o4u`TtA%^7>=_L?ME)O8H- zU@pn6nI(vrxSO+RRh)JrDZ{Sdj?c|0mxCU#eD@N!U}wpXKY;oda`mk2hh0FFr$XLt zYf@z3Lngp>ShcG-=}KEyK4s~Tzz4tzM_Cd-3QYB2QL^Dz~KQziDNnx~*Z>l`PHp%Dmx(U1$p?Ks_67n*~3? zHt48p)G^U83bO0DIAV-$L3?3h8f?AJu+enrlYte?a$|S5$(^CzvxwKZw@E6w0e*bo zX15*1E>(ONoe-;}5jg3E-5iTY&PM~AeDK*mn8)p(eHIcUOrVqSx3G`0<3)+;`(M00 z^0`Mu!lXZg9i}=k;Jth)IuR$WC|SF{O8N0<6bY;+KO0pMB@=%y3(Jr{Zz3If)q|8c zs7>jb&R|dvdC^Izhg-3~$;zoKc{S)3`V2LBeoL+1d^P0X#HwHC5=R?6*IxfqK@-n( z30tw_OUAbBJCZEHv`;`ofECikpPUbF#e6qBkD-CR5sRS95}Fh3#X;Ia(GRSpFQkRM zf{)W14`+)_7mRV6(u@g;b#~jIgj-I*8$Wv`9 zWesV2()-Z-Ey&TYd8b&7$1|*>CCP4KcX&j)1gDYvz-hBA^7T%LawwFl8NLtY9`TTA7fQdFjG6m9R- zN2Yy#;61D#R$~ceku6#u56)=U5bW52GG<8!EO8q|Ge;E}tK`$t>z)djsp-={U4^Cf zLViZ{V{Q`_ZlRSB9YzAhV3B~RpkqV3vO0)F-Vrx^8L@;7B&+mG2JVW5-RJ^9{N^z) z)KuZ{NH5)BKs-OT=C<0)dP(mFw%_Kb+U9--sYdGl&?xYbnr~&xClLM(%0^ZbFN73W z&O~iK9+;M#^hR@qs(Z306}^dFlg# zpuN=6GZlyQT^Z``+$PxMc?BTzFbIxkObaa;#b;Wg7HqJM$))&!r5i>Ua^PKl@-5rL z-mCr_2$ZqQ!gk-f`>E5JZo)JpG)7lg@qJPzNTY-IhwXH0r-I``QjnSN1k6-EWSaUu z5S++co!>O7_+7nUtm@X0xYbeq@A+y5Y;%1Md!&;}|J2Zg}7S{7+gy)gjD;Vi*m^! zS_BQOOGVmX*>YO*;PaA0QfLUN!O(kl5O*o=6b-N&ywHnP+d6NdN3LAOfDHNhHn~)s zIrVjr}(GKdT}3*>n(4(-?UR!iop!C z&evm>_BiWA*=T;=wN82SGh5*toI9Chx?k3&$DVe8k@}MH@6qNowtg|KpCEYKJ@Z~0 zH=IvWOx?&^tgz2;$0e{Q?X#IyLc$ZS-9Wt3xOa1CqjiC+IvnrEdBR?sR=SvJH;1=t zfD>Mfk?;x}HWbpz2a*wXnU;Ic9nJl)eH>q>6vPj0iRrkGTS~fEMJNUSD(lkKt=ip1 zsH%pAO`mumDM~)`nBH3Hf)S#>fkDslG0vV{(R9YzV%ToTq}-~i?E=?b;ua^Ju{M9s|>^uH5T<=p-0UvixNeafM0 zd6Z~yXoP@j95B^FLpkkdxuT)uh)oT$fsK#Nrp5nWhUo9o{Ke3F`uNGBR(G;`S|C~1?dAi-a{e?*q$NsY@0~YtbmTS6-R|We^b&i% zp=4Fl>|Nt4_Sf2vhR*siJdq!2>KYnuxxuc~a4XpmQoKyp&Dq3if1s3s8FrbE6mi)z z4E;fqmnovZXEmix92GmaZiYAl$q?PdxYhReZiRgPSI~&0LB~9Cjy7v=T#l~J1Ih3AoH=_hK@rvQ| zV9en2L0AE1Hj#m)uJZ;xG0!TSH?zJ!HkwY=<5I}aY0OSw9lCp~@5#&Vq1*o|%>|_p zQ|z$Nd)zaVi{@&e5@4546xa>S(iTvbD`!b%AyIA0x0&uj5;i2^+S2)&3-D}NxHID`0~>nA+{@!u=BxX(XXOg> zF?;11W6<0vH~CJI5_YI0yy3>l!4}H`x`d(3Ty5LOHHn?~_FT%LCdd;p_ieP`%Iptu zej@1u!!L)Qx+;9i+?W>$M$9-ZUO;r>3K@)5^@(FI?!reLTau+?nwX7bkzXQ!^CJH! zz2(j)UZPLDR(_rUdvpg5>X8+MDr+)b=tmn&K;03@G;uMp$wOcZzpT;d(D|Payd_O- zUEca*U&KAR!`<*k`6sIhEWp5*??M??yP=ri43hf26k;n;EYklSB$#*)Xusocn9=i`qFb^r+z)V7y{aVn{-7F)5dU4L<7^w~{O$%_pP~_fiuVvX_FG#Q;{Q zS>@W`Zv0Nub-7xMf!2eM&C9OstE)ZRo`DJlIB03F>^CJUoSlwh|M8OVQat)%S? z?ys{epgix)EyzvOY>94jG`~GhZc$G$L0e%zF&|a;hc0i6pk-$7UU;b?FLT`BpI%45 zAJdYdOZGR#1V12=1qVR3nkFgJtQUTOj3*E`<0vPW{pnjUzqKQZGSLO%;y80_+E&_! z4JXhF9gSdXmSc$)u7YKE>I^scQbjI9?k}k^*6i{DzP+4v{vJOuFHAayRuUFq$QnKh zihd%meN*n4Sk;5juD&Zu{^-$dP#?k`x_DyDh|#Ej{7o>kq3!kTOR|H^BUAR$;%sYB z%-}h!uCTPE!^TUb-Rj^K_*?Doj4uYIR-LR6qR{@pp7SF#)@51|YW<}h$tRMMTWQ}k z!_dVH_Uux@^}Av9SlaJK?+TxDg^mPB2O{-HDo>K#Z~c2lCzybK-_%(8k?i5xm|! z1#Ct1FES_>0)MgKbJh_qebV!K18$Fpc#Ie|`kfj+d6LX?>|D%7Ulrt#|O-lcOv4*F524WirXN_^e<$$0+#)2VHt!>o@(bXSWEh-ZGc~#Ln-sj?a+}h!s<@e065oH?EKCh<$Kj1xG$grVV%6=f&vD>!&s?wef6Iy#87gZs?7(sY zn~|+efK*992)nFzCg|PHPik&#@-bun3eo( z@I)Ud{b09&zEysuNnX{MPbjn$iT`)tFNH$`F0lx<)*Bo@uV+Q>xnQl%B&iMM??uzM zMJ|(QK|Bp#+ZcWQ}8>YsUckOvkm%S znm3@4n2{^aLj*-_X=l?bS^2rV`VnGR7!>J-vI$;DD0;xHFvJXj=y&9(t{t#U{S6Hr zx;#Q(;=LqMo%&n}n~1c(L>M+AB`!NW20LJR-^f?Vm&b~JSe|Fj2{RAACel4HT!|Uh z>YaECFY_;DvD{}i5$9^A-TTUQ zO14cqWtkhNzh>B+`tdB=59mnwrHFgR>e;Rn>J=t@ZBSoKHj|K#}e=0$FDzB*Z5oMI7_nK3n{ikqZbXkp6~@N zY~!RAkf0od6 zZ3$hEOe{G0kFwlPdUkYD&?%2`!o)Vq_7>Ctku}rs0Ni@wM27_J7&c5V!o6ENp%pFu zEDv&7&-mLbR~yafCk(|sXxoVZB-8CK-MA|pKD@X|B~Xkzz#JP`aV9gmqH(7)9akHd z0-4c@0&{s^bxPxAuiAI85`;$rZ+8iWXGJf5=G8qxyI=^MP;+JsR@Crgh3p z;#r3oA9os-e7}_%XP25S|CZtqq`kXWO=uYiw^_+Slj#ZSiVQcAOt$b59s^+|!2&r)uDk2{SnC7U>%$8J>p2b}}eg$E@+i1)+^4s&(5 zCr|h20-Jie{LbHDPO!eN7k}f;O}|%MM}HhWzSE( z6bbAHdstGQB}Z7=&9#>AeLIN7jP#JY8IlV)kLa~GlN9?rL$GNPYw+6oR)>Bp^_*a% zsZ+XK+M|Ws#y{urZc04*K_4XyocN;NjJg`1xwDEfpxFri@G+BEF4nu@pvfSa8WJl^ zD=6iBN{@N^jv2VNf@RzWoAyGh{`w_#}PmGMjzbke7UFG~L^o=fM#N%y%7M zhRBndY@x$OzWL=PC3)qa5WZ{DbxW^2dR0miGchRzjO+xSm$voSdECY?dDx%7EB2hw z^jstl`&HQFKYG@gSm__fvZ_Y<@hp*SeN3FONB@H%jIEjP(ymz10AGcVrd*nJx>}NjL-h;U zW2QbKO;RZZmkiG^%?g{POgH=H1DJKQ#B<}E-@U>n4U^_qhzss+{1e%bw_|ikLvEz8 z8v^8XO*PUu@$P=f2v*g$OkGShqFc)4t!C}uTn;D z0jI+ANLGg;$0=hzhqG<=Z!|^BXNtk5^X0&K&cDP2Z9Js8jc1Yd{;48APyJjt!kT(01U#2fmSwY-+)~uO;?gPbS;N@WcSmqgX#0 zrtY08X*ad~I>b2lXS2HN`KBcIPYlC-G)FGEq~RPey{MnKH|+KQN7Z@9Q~me<|D0n} z6j_;ZY_eBorR))ob!2bHE|P;|WX~g;C^8PRPh{^s8aM}aWH!huBjWcyeXq~;xqg56 z%k9QFul*d4`vXie)A=6IM|?fySjzWs)CPB{dg0+F4-@zmEo-;7eZsZ_K&}Md<2sHQ zM@l=hE&j_5^wcs~GKx#rB66Oc+?{x66><@{!4F={&i7Vw#TTWGfxGy>=zX$GcX%g( za{ET&KqwFEHq3~%p}R$5#!udZ#;qb<&urVQVf!PG7<7ebulTUeRk|I#$B`HR39W)# zR|^CVtY%VGA!e=({ydKY+Oz+rN^B%@L*-gn(*XR5cOQ`<@|mbG+v%oI_5CYXUi@-b z{%XpNZxx@3oq#PrA1c{3azBxjYzrG?b-fVOzQUo|f+ULb;O<%uWOr%-75gCgaTMF4 zUG?KI{Fsg09mV-mdl^$#1U=O2%0_whoz3(5K_DYAIi%w5WM>XN z1l9r60qQq{ls^vgoNz3-2um=l8^vdNEDPDq8W*k;z`gFDvOSz(o{=Gp6RPl+`P;jp zS$a3fhX7Hlzx`L)N7cK1!V8;2?o*E7hj}maCoN5qtKaa$ykBj&z=6+T!?3_yRFdHL z&9$MI4{pD6ZI?qh3+%voK^1}^e%H$(}aM40M_j`MX`63a%pgE0Pju%LYxd4@; z3{4Fu87C@fhi-b*Ntt~LFIF!nZfK9~gbwE7a(a<&i(~ormC92}k1!1)K5}oUA_wksY;l`Mh6z zfNS8KRCr&Oe^WGfio_~{CN1})oZ@io4hfP(EnNkE91n7-1^XRA!nzN%`6ay)?RnCR zj5{m<5v5YN)qyJW3X!v_l45rk9 zzisj=K^r0*(E+Hp6&C@}0_Vm4z#bRrHJ8b)0mK4r(H|mzs6ZuSQ2?~>1J3+YkgD{f zrCzcD`{z=DSLxq9+acm>2@@+~v=a^9P&;aa?tuI9>{J=w6jxE(P${zHhsMAn!LKp8 z&~5zat(kiApODVTa6r9u&*VNiErlor%f?~l4e}(ikE$kXtO|B*l_-bltD=;mlbpk+ zuM^zQ;F)=&jvEXTufWWcwhSN2A(ne~@9?tzH4TT7N7vp~ZUblGJZF9RDFfVd53MHE zIz)l5`b7GYQGDsbiI4l~0~k%XWZ|QyRl969L*mX-={^$i!vg)x{S|;6Pyk9L0}_kC zVhiSDE%G+$In1ee%3V%{jCdzQ)wKH2P<6bN-%T`v!Y*P3=ws*h!q!fc_Mv|&YZxwH zk6N-Zf@fj&|6M?BXRyunhOydN@wAxVQUjd$cFbeVDD_ny?&JEIZ!DOa5&x1t|`ZG#V zhm(lqBX)+&(?ij)(rQoGA;1h9B@!n{U@+#C#8p4UcCVND>TOTxr|8= zn@Ie));;fkw_3q+pxwcEtK4MskH6Alm7NwRS1JLZMa$C_bvkNMqK?wa=4IY($EhAO zM%#l@5(invp#z0kb%$;y=&bSOvON~unmo#8+8lK~og$j-U8ORU5y=STF-Y-dhup`} zTl<}xxtjrv8hEIfMRlH@b5p-sn#HZ+h$RfJ8^q`}Nq6OvTh!Vq996Hw==DatiRqHK z+e|kpqX*<6RRr{jcrCC;*E6i6II`Z?ZSmiLQ9^q8rN9M1Y53|GtZYFjLJLV7z7m9F z-zu~LLw zV{$IRaUW2$T{h8!LI7y-4SR8 z4)F}5(wH?3)Se|<=9bDY(s6(dLh9=rW=jqee`r)&gr(7x>{ zSYkXVH=5M*C>v4JzrCZ)uW-zBHcB|+3ZqS1_cT?4KXH7KIc3VKQW&?YgrXTT4!;K* z6JKHZz<4_$5g&O)JtyuRjus0stRMAJGQS?D68c(ON-n;}A+~=jR>~bvh5YUB$yQgo zm@mfKXxmsLX)3Z1METUhhaeH7`D@;hb3f;;df|h2+AFt7U^f35qA2E&)|tC#+dwvr zEbfH^t%eKpku7Ez3)&o&WW0Mk7G?HMERL4N%vss1Qkdyc`OD=;Ub<_shx(tTDhgDx zz@F-s+%*pKyO`pvX{A(Cx>_&DfP20fBOs+9~N)ez%#hYXH?knbj7pmj8DXDcK;d>h;=3TIoez%r{z_h^q^2< zTokGU<<*=n{D|idy!)0kA4==`9_9LkH+E0upJ<8-8i&`$jV~1h&b#;R4soe1uJX&X zUaaVO&53YXG;L7GkHPn+`kmExwQtHoGC{nUG880U-ZSe{B~ z#_7f*(p6MY-jlpYz^uiuCE4YJtrXbW#Z86$8Dg03;07Y_EG5;)=qZnDj(@3phVDqZgvdr{ zB7E^hT`)fYzljLEDi?K0b(;vFJDOG-G(k0UBFMwQ5q~jj#}huPi(d_bu1>0+Y+jB; zK!>J`{=%cYAC$0N1X|+*hCq@ir;hb)h}zwU;hD3*nottz89%cU&O4aXOVfTz_5|?| zy{7z>(r5-@NGho7Eh};dr`J=}Z~i2+`%<@aEes-%K15@z>bBKgC?J8>t+qeoi7G1}U2MN6_i^IcmcCs+AyD3blsl_LJbI{z3tlI&x# zBKx(Z(_1#c1=(zdU|@rG%HGUWP=ZY?)jqOVtG5VmTRYKji9g3ni-;q+LcScHh1FS+ z;R@JwUzP3*uC7>RmD+2cO`a7!oV8rRATLza1#=QdmedZ|u%SO{0FvTo7x^~4+cYg{ z{zWsp-?Ohff9?D%R|~byt4oLE8>;>J`8kd^g@wpY6j2{J%kv;*e2CB2+OY&a(R=!C zDhHf;<{(OF!PRB)>}Nz@aUJ(i)EZ6@NZJiyQeb=)a%P{$o@ocd*hsKfQ8cSMF%kE% zHd2M5eB~#ct|2rxUu6k9iDkmkzT5k(s&lhfI&T;A8BK%@38!+Tep@jOQnUf*caQIG zv^RYv`6*+!*zBt>6GYk&WnNX5Jynp1yr_kDuN>VU-ci~iq>9RcqJN(H_ z*P=CPG7J1Ri{8PXl)iePWV}2Xb|Y*D*Q)i6Bo(}GYEre7hV*=9s$9g~@@))f& z4Ay%bUo-G|c@KB(oH=NrbHnJ+;FH#7wt@}kwKMaiUYCaQSPTp`ahj-o`#7tBni-xd zV6Xk7NX(jRFD*7{!~FkHVZ_@6270ta@EhWgCrY(SE`Q`g9E3DJ!sPa>D-n(-`xG|{ zq;DlAuO5-b;P3W@pz=v%31pF!Ow9Nt;?a*@ZAgy1lu5Ojy4H}jWMz=~(kx;C8&Suh zfvV?!q`h3Vob#tS^a)6B|I%}i6IOq%-twXJ7kc~nh9x71@iGH&Bk8p8zCm`gR6uugY;Go#|Ph{_)B z)lV4c+V$LZzkeUV>bUfqq1rbuu<<>UA0Y#}xvrj+=4E}vYa0obWz*E9r`%5A$;PK_ zTa)2L=cIEhe=lg1unV2K&9B}&O9@ihP@H1@0RTWAvL&+uoX)>%vH>+jq=fnQv3>HD zsURmjt_%K+Qm6YZZD;%YU3Ln&A1|34k#G5jvQoT#r&k0u7?H<%cdmG;1e2vX_&p-e zPsQuF!%y7u0#tT{jGYE_(^Nk#dyB0b)^j&+l_4#236lqTO6G3nXW@}gu|~$E>yoh< z3225`bdlv3B@U$F=8ux+qK5LOF0)X7Fuh+H2117lu)PA0;&u8Ahsqu1XBp9Mm+-+< zC}YNT*F1t@KK>8RNuMfzV?}{T+v`3Fz?IH=r_by23?({gr6?emt4*X8i ztZd;|)keAY^N}uQ-z%)v$Mi9y`pAtBbbBGixBmc?nAjKHy2nv3=;WxZ$@57H@Dg$t ze>#WYdbgP1>lUk!y(g}x}1P4@wKN^`O{4hC6a8!Z-~Rqxk>Y^rW(r}0_JnrsQ}zV~qK$riTjwlJptLY<`U zsNZ|z;|hzyEc7*?Bb577SOgw94x+c0yHISFyw=7yEzE^Nz}_L;IdAmylP5*3=0#gO z+L9@_V+C~90QCo+V67JM;pgKYwKLvkz`|U3d98{jwCO<$sY0ft`$xG)?7i4Ef8Q2=jb^I zb%Rif_BZK3d0R{kWKn|#Zk4wtqkbBDRgY?;NI4rt@-Se=c0A9m#t(86VZ)nAt21&; z^cDw>Z(sv5@tG|;4rESe6a2x+>%a02spp}+??)Y{6$mTkYaN*SGJWUFmk7HC$Hu2~ z)O2?EdL^|grGlz}phD|D;^l2+ISh*Tjkc6q;J2AZml72swT3FARyYo8oLE&qm!>1-TCc-81d>U4U&%|DMY{cOq4DJN4Sec zo<02@TWO^f1;SOd-EZ-dns1`YSh*4Cg44et5jRlJT@Ex9yzk* z4kT-2n-+WYYO->)0_h9Gv4J-_UAb!5)7$Fm{n>`dle_^v!GGd2tsSx*lt4r~CXMVd zMdU=JLU&w*li*DzJLli3azoh@GhLPGGkau4l<9}+(TqW0_Y=$D4E*mvR zy~xuh@yC-InLAW^jFhs#OY(#+Udbwki~|Z_ljEnD6;n0vVBXYzt9vJ%46TBJ^V5|F z?VC9(*-+0(P2bO_GE_2fXzt|MB>xOfYfjfunmBA8j7|`lR(1ZA0r06kvXi}sr1t0t zVLouaH^d*X(gr(p))fl-Bxmf;(1~Adn9_RbkF3M>9!8A+swdWub{HA%Z@xIac@|ky z;Y913)i!(&cUSRgCYO@f9aZ59{XLUyvuB9^4qs#fSZ2&8jb@xhp=XfS1iKap?-^pt` zV^A5^)KcBHFgRix~D&f1r z=A7W?hvO;tBd;p3OVHA8^q{!wQF@Sxu!v0vd0-uJpB|tOnB{j8PoX-QP+0g?oJ@3Y}<8EFM!DB3ieufn!t!QPT?Sx zs^S?6`6k0v;Se7xqXT3|M2So zTK?x>-gnF7!&lOan=bNfRrymuoZ=^v2ym8Ns|77YqO{Z>eG1;VIK&<>zOyQz7A#Ys zZm_DvY6LD<$pK(RN-4DfO|@r!?vINTnvfep+1f}b{Yw<U8wnAWXjpGTf+ubiY zyz07(iGJw>Y@FxNv4|ssUB9#GV_@@t8sx-tE_l@4k*IilZ1(!ij4v@a-vXcp)o!hO z0+(%{EKm^vc+@8gpJTaHy~D3rSc~X>0dt*5giMVH6e*jrS$&dYETJKntfmVdz8%Ax zs_aiXN#xpVej#Ec{aYryyrus}@gh}4yGgD|H>*$q#KC5||9fSAu-@>zqst|beTP(4 zQ7qn;vneBX%T0T{!MU%A>M`3X>og*-Q1b=~O9%ed7=i_Y=F- zpiie}keYzD)Mj`vBx{^{T+f>G+ zpDzR|k;iDlei8N9ep4>s%1}eHj(ngr(_Eo*OCSQRM}{V6FDC}X5ko=^~O8A7mO5H5j>->&fREbNYwfLN0$-32cEitqK zbkWG?78)1OEw@RsYfdjaf_f^=m<;2%jskZ{2;!VMgOu@fAm?2a##u71MMF~O0Ji@9 zI9S!@$C46<=F*-Omksc)Pl7yP92*J8jjOw;?c1pzGn@#{*;8y>${%AIds{8)TD68w zvH#y8jkurnB0~MZJZxRMNKyH0Ht3T~5L1o7 zT{7-Q0_K}@_d+pg5!bH@&5J|=>D^0{EZzV!ZN@-bjT(Aja!FGEU0Ip}T*9s3F(yiZ zt=mE>JNE0>M(ys?)l%r=s}fbziu&qOA4x82kUwg?^8`p@%hyOuO4a-lPKL%7*B=IV z6$|KtEGc$0v3b+Gv%vR&s`Y$Yd)km^`Etr@ep^6@L%UR=n zEH_Db0QzLj8=S3NcCxb}UQ?0fF3;hf&%x7BXX&0>FG#x7Yb;5WPA!BWdouX#rW-G8_CX*E%mkjlhd|G z@PUTjlzxuo7!Z_v{LX;s~%C8aXI2!(Eqwv~!)fXH1t+@I&5 zG}F6R>;BpBY^yx80wJKJSbpW)0z9_fxQl2#^{yIs{%p8u6oit1(&(rDFZQYmkOX|&j+)~|n{Muu; ze>R~Ut4L%HdsLPz$S%=K83nz0Nme{w59!9l!pOlRXe9~7v8q!w*iaY+dzDlJa%QUA zUHgTXBow8}rFU?@Q$C*Cx4LN6K3KT)7snrsv_2sZ`gXa*qsnFIU|q?v(B^(?$q&-<@Bp!JMg?_{tHhNx`x zY{YZ)U*Mk|SnM=UvTFub)r<|(vmQ?2f{gt7+Jie;3-yh{dHSE~YpIXxQd`wUC?{Qq zUDwitT$Xu{(hC(*{^|1a5(J5aG;<^zP$LdVeRcg<>fRfwg)YA7HxmHv*L_U^{%c0T z@X$}KQai;$ae3byyKz!HRHm3@k_0~UZZT99zJVu%LwC9irv4)es;{2T>dAN$LOqtT z8T%Ka4j(K%F6?r*+3sNP4A}?(uOTd-)3b^`Gc!1;#INAC3$sb3PuNK|zylE0o6(@# zKs!^xNfV%CrneMZd8Z)k_Lp4wF}vk1M136 z{MFl{BuQ~kK$j$LA+KRCnZyYU&|{Z#25I9N>3N9>WoPgNuwtrx<0fWSZiZt~Kziei%9X->gd-6kVCw>dMe z5@haI&ByxQbe9xb{>?(R9x5gV$oa6%X{CO%-1S{2UxAy^^>Hz+n<&`ySM|I_fGGNn zDW{UEx@B{dW7g)&$66$*jobT8$Awvco;SKSy)=3sZA5VA`J1#F<2|#UX&6~WL|jun zB6@R(EMLud=WtO{bD6n*_yLbK5*?2)vJ`b5747D zfW`RGxjuRCy2xF;Qy`0zORO}0h^cYHU+s9)00FO0zrr!{e629$_Oq%SooB5k|8~w< z!Eod8e)I*Au`-_yu&+5@J)WrwOaDB3`a>9ihX1uLh%R6s^B!p?*ajHnyC3{nY4363 zHuGO?hw7n4>R6z(p!M-aQ=yr@@3P?py|L=1tWYc|ZReEXNa2=fcPJHCMYYw{Rq`ao zdn3fk1`O6FE~#af)s7(LD8-E3mN$0(UU&Lr{x{r*P`E|mKUC`*K-V{fK# zmGs|M-YV*RulS{F2}B~?-Dzb1WzA}uy!WSD2SEC9r(ZzT&w8}vH_W)1k?(l7({$uF zRYBSOz|=2cZ$<009KUAL3`a5>*d)L~tKPqN&oO33)CUtLJE^^vynZC62+88p!}s=9 zi!O}?M|HAqG<{Q;QFif`-Tu6@KdnrA{e&xOAdlPb_mZ+5e4t*Khw**N{fyJlB@!-{ za7^{OMM23ZFQb-l`W9IY&%#4=J2AllYgW=xc2uJ5gj??!Nip0!zi(SO_F(!!(od;Ov*^1CT40=vmMca?eX z()Z=;Fu^T9zofRR<~eIwfU_Ms)I~s9 zA_m=s%jP^?)cNkvGmHuI-N!a8Yo(ZQ>C)VL$oWLtXjK@1lZM?M6$-oU4;!TC`p--@VlxKAVCzaw{cT*ju}X=yCcF zqP!0aPz{b#Hp7#6S)6bMvBCOsR>*5+^a97URINBIQQkqYNZD?xAnf3m4^@+wY8RamY0g@)>=!AaLTfnVY{=Hn7QGNT}? zD=mCq`gG91P?_n!O`8Cw7aRTVHi&5Tkpg$pOa66tYp0Kn3oPqf)qAIbgucx{JJ2|@ zs`A~8DR)&27~m=p=*Az%JzE|0H;{f|_ljbpQd!PK*wXk(UnQjTYMtm!Km>*l<4MCA z7F!H7%(;4Ah`*vfA?a`SEM`&?bL7X4-&QEL=v{xrp)~B}b9(895H-U?Ycc%rY`5iI&A2(h49=-}F6d5o*3ngZ7UbhU0 z#ZUn0!M@gwXG()S%aO^@^lU91!GWs|sr_aSLX2a}g1bpL?M0{=+AT4>|Bjhs#Fg%7 z3!%)>gL9diKX3!e2j&O4X2!>_+?7{Odc5L8RAkY$u*cgG|uzTIT4fCw;-98|rVH4_Nw zIMk_7u&=XR`3Z74k*Ep-sty-5OX!(={$1SC6aw--8)$Tqrz`>17;vhKhTQ0~p zg&t(ECh1!0m&0B$=m!}LwzI)@49hXQ+c4A>lv3LrSRPvwvey-$4ww?yA5w(?<4TuV zQyIhj=5)BQ4iw@!dO#(8m5LV&4u4$+HXe1dw^gB)-3PTYvbH-v~mrIWm(v~ zU6wi1I(sg9ODGfV92^Q+(VO+JmxzN?x!4NiE|eB`Q-avJ zkQvk~?)j=C%CJ!YWnClpWYjbKHK&uo%7b#TX~pD{bx@PV2J>=x=jDnP z-oYm4k5FdN(Vrlg-(&qqU=0H)OO;;d6SDNzMQczc#r;ljG8* zc@cq7@+I-?fzzEes>A?GJ289K6YaSBKGEjq3qMO4HHTl>Fbk79#5?2-?V_4q1RX!q z$Ug6K?J*A^6IuG?LS}$!=x5`$SU+k84#$~({(RD=i!T`kktp`;j_mwhhCO>#^=JI5 zqQLBs$tU^aNJrs)=U2BautXC>u%S_ z@k2t@{SOi960vWUrc5?4Z}q6XYhCs@$$jjEu57K5q}se*zxMNUnIc)T-(Dv^xvNHg z)7Vyi3vy%9Da(s*v0(wpq?sfVzC_&Ewey;qQ5P| z=Vhd*h#U0nvnr4gaR0-`MCzth|8xP!a>d`M{)G{fev||I`9@TA1>URM%^`zJ>R8Ai zGitB-*@<+l?f<+QWpV5gZ#aL-%f8EZw`+`DB)X)O)UUWf@)WhxMzM^={s$`S(NI0k z2ac94Ym)~;KYd9i&SgWEFmJM^-SN6DUVr#6GZy1Y()WL<4+8TJBjK0XjCDEoTNu>m zu0;1n4+8`I#CHX^G;UM``&K z3+_Zi#28{L@yZkoL2P=*%FK;6&vhx+EZp>iN!aImwlF&H=y;)?VDWg!IuP{=k|Clv_u?mcXTw&%XtqrtbY!R z!~%!MpOqxT42^BTf3wq#HEba>-;R3ANG@^YH_J7gTQ7uF{#6=qvw6mywZ3oeM*1 zm^VygBg}{unb?1|?`Dj0QM|-RbZC^_P>XQEmpo7G90|O96$(NR@QyDH?e^!(-igxD z$(W2?^V4(j;cEer+dyyd-0azH`;!ZuF;n%)=z>SDUmGl!ABn)m{ew~L zS6=&D?!LG71&q4>qv zgg0_Mj~+EldAk48hgN4Tjqf++8O&4r2coUV&(8%r3o5F@%yZN~gjnB%FGS==g9?0< zeD{r{#po1CzAwnl&E{{qwfRd2d%b+>YMO%^#@_$lTzv&yoS+2q43W-fc|Fu@ac2=d z>f%?Nd7pDnAaMR034~}hNJ}*H&_vyz1|%HKLH+BFH2jilL;fyPd38LR2Gt6>*RnGe z{p~|;i1!|_I#};g5CqSI3a}HV55>yzs}!pLzi+x~b0>H8D-eE65ep=?BX*uiEzoa( z9qc+~DNLs8bWNNqJE2PBESYeW>=&3}FW)CbwZa|Yq6U)*DD7_05Nj+BbD5PBqq`VT zBX+F;F&x&9$$%!X$8L|)n;1rKAe&9eW!;I{VoX9m>2j32?jm9<D&H7-6>i6Wjn(! z+ub5QF{B*`jL>1nwYR4U%9df(M`Joy6&r7f1vjwcqLsUvDIrgfMHXBX0*AcXgc+Ix z{srq0=ea*7y@9Jrh00KI?WqVWLf`lS@%?Li;A|`Rw|nbQh%}tf`5=FfffDO9bEeNu zHzdTW`!Jxmk=3ZNwi#F!-6=C;FN8>W~C7yiEVoP~q z@;NQP8u+9@Cr~_1nOK@7kNEC6(b-qk@K)00ZqYL>J)W3cENDXj@GBxTEL)!wkWjh@)QW@AOU)U;tAJWt*Z?Oum7csa!DFF^=TL-;?oVDbjhOHr>eBc}23^8J(!tlW5@y-NF; z;>MA4pC4*Y zx4Ydj=D!_bqlzZ%p~5>oevG{RC+|4%0v0=wzUt~x*G$ypv;ZDHH%V-RXom<&enU}&@S+nLY=~6!8Re?Y>W6-fz9}fWPHM8*Z41QABXNn zDQHxuZ?%~U>uwIvo{3?1_ z3&aPFW)(ANy! zp2g&+;|=1AN~err1`mPfv$;&B3cZ*%7lml${*5_nS$bz5_o9^^(t*W!74zhtcW2O;XYkwTLw&_?7Ovax}P3T;YuZiCxnqpgD zE<;<=i^epR?-LzgJ`-(jZZ>|C@JkvAD83=mjC>V-a-F-^FTNT2lsE%>+O$<}I$>jU z_1k-9ol$gl-`A>y3y)UsC}~OSmT240 z<-jP?)PE~)+pparQ?FZTu=Q{N*kTx3n_zzWit+5yBPvsug`2KjBt9MFMg`s`t%42I zIXqzEyJHX(XW-v5E>`!{B*MQI)m!(DzS9Npr z%WrWdnQpmT`nSscI$yPUTsu_vAN=gcX^CCg-;+Mil7URAOT||BYdL%gfhKp3DY|u< zWZ<+Rd@t;pU*5u0kWr(x((-Rk1#O({75-mZcA@0REG&z#7Jh86n(HGMaZxJ2fc8p? z;Rc~mpZr|>xJf@|j)Hb5Hc?wIA!>rZc0fK}^BsNm(d({wMr4*)9}nDC`Jg_P!yCE6 zW=kbU036U+MDlI_<~ZWCy+oP|GH`>p(GhD%x?&Zt;7&5Pbe3U1;&dengozw{oXyx& z>gqAfEgg5_Ke;aOD@ak+wkZzF@xfG(-}N<*Wtf=erE`&m(W$oCvE0^SFypSM6^M z;#xn!_v<5C)Hgrx?@gDfyM~)6ZYi|;389qb=^d zY~DTy1uuZ7CiO1}bKYAMC6@w!Y9Z#pcl(EOJ~-7zI0Y7NZ78iam=Q*0kFT_ronC2Q z%RrA^N2A~(=;LccoA#%B;i?Gv|A|uO>>E2Myh?V777@|im5{6>3o~AKCEWMVq39Y> z_*$G-ZTjlH24|+3hC-p$$w20U)Er%z-)@(CyLAD}nW2!3=qtxb+~KeTfUd*$r<*^cT`-u9F$WX=I{ei(9Y#^IH^ z?tUkrNezcAVf*N&0Qi!}Y$$IiI_mL0yELRQ)lUg(*lOQg`5H37Rf%8?-ua?f4*Y+RD9D*za0LDJ5vJ*JJgDhFht!ge5C3^sL9Fo&d!7a@rGc>!eoumn zDm!{=d;E&-DDV)9e&>2r{p(8XNNxznPPOnz(Bs;djRoaX`yc5IVJ1I-u608G`UziR zaSN+^w^iMev^Cv{BxD*>Yd-RpICL|CBE|Ss$@7s^$ZO;-(MUMu%w{~jruN9*FK*TR zSA(#K;f_4j1&HqAv2A_)Xq7vXo@J@+2%!xm4v`Ew-vb8ZPumF*WSxX(dCM1zI&ALD zo!RX-*M@FMDqgw$I1V_%J5&WE6QkeyogfLklXdbM)Ms*o+GIc8_v_L`OhQy#b8T?T50d z=4P8JIN}E? zymy-Dz^@2ZFDLPqD0}~rmb?6|Jii?SS!b&_j=vG6|5%{ z<{X^Bi#Sy~cXfPkYO{9yx&MuPa2o~M^Xidjmbnx)d%$8=woZH5f`=9kYNLIHFE&>t zt3|3e|6U}if%g8#q}Le1cs{KQOrB^fZpH5V?6hB+wLNICGC(69f$>lcO&$29|`tLbhp3_{s z_QNkJUcCPXeOP@qfx;zD8g+Q*ege?s+&qeI8;#O;8a>202R`#@w0c4(d2cjkK{blb z;T-=x`E=HM%&7w7l2MYv)}QG}GTjC^8~t;4_O4I$xlk3YUb2=`61ldj4CB>5Bn*K|(D=!7fPaPe;=k#^z8|pSQ+V4GF84Xi>M11F3DLJ9_DL2)NwdE8od!klp zADP=b$5{1duXPqQ@Js43DzN;JodiEHQ}jA_8>t1|*%KYnbDkAGs0XIj;}_%k0D!QE zc*3sf)_GYvFI%0ax$=Q3t`-5ix6@2c8!^DLOj{4Kz23ToY8i`-J2=?)2x$_!T9tIXO65%Y)``|CcjE z5#u?ZTpHApj4x%Gd4=RyqcdH6Rpi(c?pS#pdt+qv$MfH6MLn-|4hBdo%?^Bw@X<}* z97ei4q$QIb{gv(NO0R0+lH?*Mh$i*EXU7|b zlKAd}-_YM3VJ$D&!%10=6jO_k&+mH6#Vese>}v=h_!gxN+RO#FQN#u4YnM0Tyb<#tGDSLS_(>p*stLFwqijLYP} z!v~w(*dhli$!L|b#^yocL1IRtO(+od!*zyM&9T>X-$yQ=D?O@V0ZHd8qPZA9)4d=x zH0U$je9W=Y|GL88CVH{)zlkGYL5CaJLvi6?%o=zn+m-TweN&G*Y%G{>a?i4 z&gd35syvg8FI$~_HioW4+`pC^U_jrtr5rX=G9@Qn{f$)_;Bu2@<8&_FSBfuj3}`<% zGA>*_`t!*X`aR3O@(UKJ9o{4x=QO|JS=<_+_3ll=pT8;#m0gijsBPbdR?bcP5J8eg zr?peQ)}X3ro1_=UR(i$4x$m^@v^rMB>keCwOV`RukF$iuX8)AZ-I3+HRP9~4c7a|4ip45|uM+SYZ&qG+ z2s0DU_h7p-9odCWPB_Bg$W2Wrk99+*`LlJ|9$kU z5~p-Mc!K*?e|Dd#{lM2M9_#?QE48xpeD_wMP`sih=t9&a+CRQobuDB9=}K_zw&oev zCePCqBoo4PlS-t(Az#_Wb{|fJra)~QrdlDOs#QDU@&A#ztCx_6SoeuA$#{)q#<}}H z4PR?Kx?T?sCy&8=S^f^P?3PQ-iJpaP&LqS+&%%RZz=#y%DA5Ehf1T9_4*hsvz2|8+Y0 zLYlO-svSqo+UaLyilsdJw+-m;8pO9oH53c&2t9vlVa54|Z9z$aGv#ei!1ahp^!2pa zUB83M2U$DEuN~LZNJ-H$BROkr-F5v_!J8jK*Q@y&A#||O-#HlPo;XK8J^G-9C`t!t zvdefg$PG51<)LUe()pdvCTddky=#ERK>=wo3@JPEH|~R~W)^Lf>s{X$IOQ!C2E*!K zzN5m))Q`#Ma-%UDT*{G#(i@*Exvru1_4X zQB6+`;#_9#{NQ;E@06#zqRPTSDVKkQU7TN)0EyCqqy9|#acDWv!~7=S|6kGRaa0h$9B~g;!#uj z@l_35kQKLBk4zoi~wM5h#je==)@RDmy${%YoJdYusY$r@;(b_xd@ z%d1EoV;2`D->gmWBwD#ALPKAj`mWnnRXTQQE2ml9Qu*@d8{> z&SjHhuCN)ya|&hspL_C1L4}E;h}TGVTY=*h^VhsFdx|M0d<|6Q-3m+a6$-G~(6#F$ zP(?wSXeAeQGY5|sv&T0KI*;uhaO04~2K{17`pp*P>y}Z!JgDmbhfiT19CP7~QEdq(esxFenj+l*AB`W|XwRkdj6eHw2_XWpwv*@p-=A`~KX& z|KNI^b)Dxsjw8{g8U*-MiJcAkk>h}W5&S^i+GcufkX;It)#gcXPKIm%8$*$8>i$S_ zD1fs14em9=qLnBd88=-Qq5^ADN`J*?#u0hM|-yoX!M)#vLtRkE_J zcwR@;bY<7pd3nxjU*QzL%MtQ4?{TBVEzIA2&a)*$;dii`2f}C*NOoD~ta+_T0*^O) z_<9_^XswnYb9RNJCsud~AFkV#i6v67OtYG>m)^**-;tL(Gzyt=bEtlL&$Xt$Bj9EE zAlxP6B#fX?$*8tAp?`Df)8sAbs65`Mh9T2U6O!G3?J}kT%MdVlCt@uxUda}9zxu)# z;rdJmS+A`dsM5f7R3c=NT_ZkQcR(2?wB-JI47!y2Z)L+loTIGvFH+LTZq7mKgu?K z8gW}QE+FSN#xw?uZv7;EM8Z}Ed}-dxZmtG1LNffbg?>CW)0FAn(h7X272n2Hq_VZ- zJ@6xhT}0op^Dzzf9ngn+Z&RE@rm}xY3m0K>8fCv}x$#{j6j=`RV4~U{3>R{_*5H{xvrTSsK!lI59BYupNU_?k|chx0z3Vv*loC zL9}6zT}boR=HprNipkK;AVT+J4<|ugJoo{jx}^o!wm{qJKHct{S1ul7#(~GSYflL5 zN!6s%(8CSy-E|c{pC5d;j~|2YPu`fe4AG`MbvSx#Uk$>%|YD z8soNK{Y89Rd6Qh#Gu6=ImS)_fUpl!3M>jky`Ng&8h-k~?Htn`7XV3nRvc_X7aP{lMzdt}ntV1U%TObOFU5YB5T*Vh9k9FSGW zWenI?&IyW-Gdt%!Boln5pBXV6dnh(J#g%M$dhaKctYe)j6+Mp z6j_RX=?ynfCYIyXdd#5W(u&G)-TrOY@;wk36yZm_=E(uqUF5smy8ITEK(W58a4=T( z#oe-~V-1C_*dhni#(uk@ZVfYy_Eu71 zagZi7OjZRKxPFw%4_1GGZ>9yTo6zmgTMr|roW5Vxw$7KdafS}k4qH+{jOJ^Qv zqbc>JS3nCUJaEh-FkPT+w*KP>J-8qJkzI-u4zs9H>?Fi?B7HjVDjIb6rKXz(7>GX3 z@=7qwy*l%8^y%LE<5@Ozs+Zrj@jrcV@{CRS>iEccW9vAvDcU|dy)0K6IC}bdWcZF5Q+@Xk-^$~$O7dH_ubkNC%wWE zZh@(1AF6Nj7yj$=Q+*SwMX@5{_f$LjfL=VZLk$4rn^kD_F;f?!Vx zg}x9~uTC#?x^@thVlq=oD-LzdEZ;Jf6IV={E@t|6S7A=m(k<@>EtgS^Fqry>Ne@g! z#$;t5QB9i-ZCowyP)T+wy3cA9!L;h(wjP>5&3Djm`lL<>*u@WnI+@6ylUiav6GMj6 z_{=v%FF4N~$TIpku9*nuUGw zxQd?Kh|>o?hk|zhkq^TZmsGRuPdcPoTfZdv%(RqIn?REnwV$4Va@mG+O7hevi|_ruV^g^y@HCT&VeGHf_Z8eV#zEa@#l{e72Zkj& zdJlj8h-REz?di`lGwa&~&ywpii6l(hbNsRS-()&nhWzt^9Eonx3vcwa9iXz9WY>Es zHC95xipe?J-;FQ55p`z_**$~)!34EE%lqXH8sweG6@HjNEiN^F?P@@2imsyjxR=)T ztU7d0gW-^Mr!0-0JrXHkQfIWScq4jAr4j*|8tjd=o(@&JZe$*|{Mv#;b@Xs%OzJ&=-)US?_F zz(s9AniRcGt!9x@qK!kRv^1OGu#hy%8j-5$&VYvmhnvqKR+ht6Yduc%Hm*I8*F zFa8W>3||Ru9<2E)U~?sD1@aiJVKZ+v3Uuz)a0cBk(YlF~g)l zQjzv;c-R;z-;YwV%}=%G;B5~4b(2<3`u{U}@eT8xyAV;d#N>PqG@>sTS_@L7PSz2P zY1|656ZC@w&}Qb`!lZ~g#N>wN*i!dodsJ!lC2U)2m-;PaW|ngwnX1z#D#)&L2eWAT z{C0SHx@LoT^8jPMHzwYq<3+eSI#d+@&3qd?RjI=S{74?wb!J!3AmuX#79&eQ)n#l@ zYm8>?MgQ;nGP_ok5=W1W6-rE?5+Nx=K!AuMeli|f1K6VeT8nw@3v^4qTXK)^Z|Rl2 zJZqmXosN({e*MrkEUugktRB47V8WVX9Wjsq{z56ni&gkMUvm~UOwFSN!>djwju&&|J8?ppU5R+oNlWPhuo21UH6^k=8E@-;&c9A22+eM{%zF1X6%2 zDNd=R^4S|K(+ndK{eRa<< zV*w7E0iLT?+1z2S{#GC3MPptFPPEvAiESY|#R6gR{UzH={l0754&K{uJx0B4)bS+}2<-DU#GLFwJ zN*IEKTK6z(Q-N;-mkLLehHId?a}>GTn01V_$N;rAOm=Lk+IcO=nxtx8i8KrWhtZP}NcsE3R}F$W#DUi;NB zK0mrf1(Li;K-HVG=9d{kyK4KmIaz z%F@MPm_@HUS$po}6;j=|gCC`34s9qgFSQ%4^EfODect-_QXFV=Qy&qp2)z(tuKUtd zM4K$tQu|QRDW>8>5yT2KDt958Mj?M3IX{I72gh^_)?CQbyRra|y&RUdwmW&4iJCclA`$*5cj9*CauIf8S^cBRht4OsKcd2$zz=#u`}pU_y@NYHdgX#} z>sw@CP0JJNmGfD%<=nGR%ztYj{1&YaVN|8>wTS~gCUgbRawSeQ!hg|Y&=e4Ba8w6s zEC;xa0eEO&@)5Ii*P_D4euAL$<_BDA!cq9r+w!bI#W+1;WvZ$ng9f5uZF2hJ`H$%-k6X%VFFO4OO7c^Q%ri7DIWGbwSIwskWl@tZS z#aircHjDe(;@t-gji~ZV;PfF>7~xuwN@8L!=;Su~eK@T*v^}yx*?V{gp)I)nH8sB5 zRQ;$0@%#Li$XA(+`HB46VL%pv4K0D7*!CH?tMi$L_J1EyIOEzL|3voHxE*IF)E`PX_hKv5>JWS<#M|GSe(Vn{lJ(wG^=VhCrM(#EDiRN0P|O_Qzdy zXsLWQxD*K9cbHYafGCzY6J^KkDXv#NMq-m?knh6DL(HPnK2|@WxSko=_Q2XjQ8nhZ zU)@q`p4q5)_#c~t$f=Xbsb(iH2arRvAHZm_L$*n39fv-rFiHM6H1*QMN2DU%@Z-u0 zZAu@F+B4!{&-Z<2R{UYo>0)Dy=JC|iYijy9>@w1cZ{O_pwAJ#f7<+a1J&&ehfCgS1 z2<+d$c*B&Y-f^O0L%O!%0TsT-ttvF+<>+0|PSsLvY{x#&GxdEcdqDx$BhLRbe%4U~ z5RPP72yE@%SJBrPW!zh+S0r1{<=-S_Fqj45MD-@JpDdL^@<6^Y$7w*$cwzZ%gIUV0 zWj``B!uw5EtV93F5}RLHf1Z+|Mgny5@%Sy{ez2Q{|(x;VtqT;T&n6kP_AXD%nGqh1uSGchlD{Kf+ zr+wr=s`?^VAy7e)^%865S@5J^=MwwRL7(uPbVHY^F_fxcNg*^9$7$4Tt-bjU?{=Da z=4)%i+VgSVx5-?oAs=>jU^_L_c%T|;^dXzhBi!)Wr{$Gj;Qit+VA@bKo6CV;UxX$A ziPD{uN#MFuteLD0XLXMST%WA(%$%w`LgcX$Yl*KazFuXqdgjELL=a8SO6|Ful#S~a zS|a^>DFQ=T>>y6PSg(GQHXf=MS;L888Pxym@!ST&=TID}%R(+wFro;uGLfc$>w!ay z2^7~YnLhOrh84*mARxkB$(fU*)^G>+!Gr7m+F|3P6o;n3%qox$_8W8%6S#LrhJ+f~ zy@>@Dp*vd!FA6yCIhznRN-V%`loHAT3!+_Sl0FZv^TXhI(qCQ@O^UQGwM8gMUr%zWO2ePjiE z$I_vmjVGLF<_h$bheoW2R}&-4op61<_Zy?C%xSx0&jx`>Y}`lg#@bRPjmaFOvEMz8 zImQn3wIdG1S=&x)MaAwN@Kwfav0}g2+OiVd?){gbc&_jMBu5l~K*q4r)aO$aSxKFe zKH_SSDKEzKQ!cTTR?C#G2+v-s_1E+Qr4+To{ZonInRVf}cFgr|e?H>xU>bD>{mSA? zY?PKrhht*;o!0zmAF6t5z!EkErj(61G7aZZ_%)21#=C`|DP|=XS&fQ+9+KSEl*}B# zyu39X^}vZ!GW!jrQTx=^u?|{*On4g2NR~Jj78n~U|F|o#(lO_%QL(Xk%~g?-*f*h0 z%c*id9837iknSEyPU(IKt zge$2LG&)ho>Gct66SNIK4%1Haizfou${TQ}j0*KZ-<&B0w|yunS9t{A+oQ0~f%g0N zOUC!t$tS-7Yj6@W-r?29IM0scI_gg78Q;$+T}(U^<*iD_+T2#{;=fj%sn&XVbvh%f zbt1;oe!J)Mzi&EaZEjA-P(I$e`4N62(6#~Mk9ZZ-A6+!hs0@!HS?R!p9~3c>0Zb?a zm#d^^^@?aKh#}@(?4+iVNe+?h79J=23i>z7E17d}#S8 zO~}M!TEiX)b;uRaHLF@1px9*vyTWPcQ^T#e%kju!d8CxIPDcJx4@3NJ)g&?UDbl(=LAU%2{UCm#MaaW53me zyVPY{>uF-nfIZ!kDKK(nn~!z)5J>wQ#I$}p+qNbowX%iR53btI*8Wl1^dgM^8k(-> z(maDlT&umXRL`+$DVinUcpi@M6MZHTLao$?T_>d9uhxk=k(uePrR;EnJYuIa-Df}T z)G-dUKb;R@Kd2x)8;Ao0f|CHoK`stxe`3lI=7e||WRj;k9JLmYG*hkNX*FKP3g%cO z_(tYNd! ze}47z^wiw@v+}bc1y{7ZTs;;NuEbK2t@{F)cQw<24cn095|F4?y--dTDM+y8Swz8Js@zUWj$VWGD%54!x> z%O~9yCL)YO>HJyxLD^&%W&6C<&#JNy8S_+Pv=3u~z?ywXyYG4zeJ}CxC?-me;)Z-J zVaMkbr;QY!zVHQu9QVR((L`4lt~%LciOHk_YtuueBiD{0!4o#)n+g8K-2txDo5`* zZvAkSz1szf?8C4pYeAT`yM;^zSMs4AWE_3E!a<-SDDOHO(dNmY4|6hRiHgaCVUmwo zS?W`)F!vBf+EkRx)WvMpa@=u)mJqRu#N)+7-wv|78ZUa7Bl4zu<^1$*twH3|L1nfC z@hg6w1KX&w^l%V9bff@W*!=5N$-_~~TyQjua%J?(9bNS?yV|sY=#_P)w3)uhEAo8v2Kxvm1lwk|^%BO^ zhHCk?W0Pk=GIFe5CL@x!%nB2}KBa1{`R2o+om zxEsastG#ZspetV6e&cq5qWT?WIOwTf?apG(awsnq{ny!9!7NIC?eGt;5M*4$b@5zlcLas{piRdm#Hj!?YG zn>_6ww&nfT=>sWlol0zw-#W2&m@YUg_^CLqVew01BlSCNLdcNlE`hw~F@2#;)O9I- z{O~K!25=<$OEDW|M$U6QeYC;1AcUAs8f8ujeZl4!#IbLMqFgZI>A1@1Ug()!^Dd(1 zcP!)JZFZL8NbdWxxR+kLToW#@#=yJil^qkk9I`jfiv&|CAYvpb(2c8BR1IhMMEhap zwF2=*1pIuaN4xo$>MhJQAI@8@hJVRz>B}7pCaHJ1KP@iVcqN75q=!F6)Bbq(*==dn z3!|fIYyWLeZzMx~G&Rubu(T2+9(PsUYwz0*v-jfik6(AYSDQ~^R9^+~nH^!O-6ww6 zLMpbduL5g#F_D<*SuOh9Hd$%I{FrTgATVa>AVj+LSPT%FTCuCGDtCy$I`wm#md^~|(y zj4cZqS}-^8rgCXIcGce@H?X#$r#F_YbSLC!t8`owcqc$v5g2F>__U$x?a|Cn6r+g4 zL51hNkvd9bWTxFwv6UWoYFFXL(CX$EY&kw0{v&uV(QIzA^<_}4x^Hh+F%6mJmmxA@k+S8il%*s!RNl?pdABkqr((G&*<;qKsuQD)O+q=`9G;icYA7V^89DlO1dZ=r z74zH|u4HSKd0}JUU3f#lA&_BJB3xv5dU;nqW;UoR!tYD0#F{?CT(ur?Gnu-P3HTw6 z3!_JGbJ|w{VBN0;aZ?D1IIteP&wRnwDXb-%(K_Yf)Ie%!Lx_!9hyBK~Wf7k|a?q@!9YfFS_X>G~3>VBx^emw4Bfhl43 z(pVqO_)0)GNMuJ2L-$THn;{_$&sQUg-N4+#^L8}1_3&~4eHpug>3A%X`4=%dIr|>1j!V3HI5CTn46f}CJS z`rX8-$o=aYvDDsGQh&Jpz`bU~#y6{tySrp+%PS-cm3wiJ=%aU3QXg1)7*qLKz)j%( z27UOS%>8b?Sb~5VqK4I}&-8j!0IadJO6s7qJgSGprqnT*&g<+qrUd88Opz^%_0&;* zBT>9>UZQy5D?Lz^>HeQ{*Um`Vg-pNiUOqF!YrM7&G(a%HH93ACuw%T!6PA8X86*!p zVWg=NANKK4&d|4_%V6e*H?=}g%+~8+$vNmO*ObhkcG@G%cMc0&ZDAgu3!&Byf|e#L z!VN+ClyqU`+Ej>?B8nv9VO^eW74=~hu{c=q3U&%rQE4Nvs~PUuzDx6)q83kgXM+)0#k+xxrkuQDc9+qaV#-(-ffRj;NP-eI@*)FkmM z(Oj=C$Eor3)>hSE#0gg7q?K_mItUsu*~(QC2cuM3DmiBon|0zCiiv!P68+~tm>m;B@%y!~E4MR~uC zng5*r$_ThmnqM4Eot?Iyv(J=)=0_gJroU+?65ZqR3bbv-Yfrx1;`jZqh$>idWJVF! z>$_DRQK*l}p3~)2gNdYHjf1@0FJND%=O?RI(vTLef1ER;L7Q7{z(&&s~&R!wPkSTi4h`_RxQvZtQ&m!C#wl6uspc$ciqR7$s_O^lTc z;+xo^(i7^qtXGAmg0+155eljpQ)dMWJ{{V%EnyQxjM~W9Y20hk^rdB~4yf%;RKAG% z_Trcun@&OfIbN4lr|X0CgG^n8m!a4mGhFVPTH?MBYcej*gKfBfFs9&mFo46HFaCr~ zyptmqJVAdNH{?4sL5*!-sQe5}R47q#YY!joF?+G8rRkDSw9oYEmScPf4nHa^3BJ4mM!6ZWNim-uGL?u*r5~w2~lx*XV5n!F)g!Q&z7G?c1=cGlsL} z!VYBe5e5WnR#UCn2#%iYX?iKj3((pwob)G7$6hmG5PNjvBQnc~i%O0?Qb*Je!7`8s zb6qO0Z9Go-KoXWgk`#4aPjvut_mE$?K9v^Gjsx(HLn}L&j-wUG*r+ETIXOO2ZX=`223fwyAj_HTfc9blEu%kqswTYjbW9Fb?~ zk3{}Bb`T{V=t{@b@ar-wIFV=M;Y6C4%9}ngfz)(&+-hrg^DUF9 z7Jrv$^P3rsuTrd^eB&bFpa~MT@MT1d>P$fMiu{=vyoaExf)TKaL_wX^{)bHhn2?^_ zutyA%x=yVbBL$S6WZZ#ItAke17hl|9XoM?xU9+qX~r z6xDPfwB6`*T``l{hD29dGMU*UE~T+qSk9n@?2KFHK}HN8UN`qamHr6r8}9Zl86}U9 zHCOB3R`u7AoC0m|O6z0#sY?k?sU5}`^IC5)LSJ)|NCWe1#6C=04cjH~p*O&Cwru6; z!2HGamE#&AT2`SZ;XQP@tU(7~NRl)xTlV!Fe=PG3wX=KKtZeA>eNAv=nvuP4Sjant z@%dL%O$KG&xZ=MK!sb;@WcNA9E96LKu><*m@r)2`MxGnC_J&WR_$*4VFzT<9kjT(e7@xl)&7?%C_@}q^zH*x^b8ZGaSy7alvLV5>86B*`4i~tH%va6?GgQRW z&d+}rt}Y3d2r|Z*L*!4mzEe<`MmFFufzEn@7YZ3FEJQzi9tuwSj?zzgU4oZ$+ng42 zPA8u$3^iQ)x;TFWd<|#$7Dd5U9g1Y(p@otwc)UwH%B57VR#s_g17 z2Ok{oq_|{IP#qD)!lKF@Qi*xUEEcX$qsxmsxTdFel<7U-KqiJn!B|dmm&sJuk-&Dh zjSK5c+i^+<_gh@5pFxy9Y%^P<0E`2T^MJy~tXSs>5%3S{3F|Nh3j=}ZHQAJ`lC>`i zlYOjeK=X+miJpg2bjzN^Iv&aR<(9rt+~xTkq*%sf0|&njsuJa%&H^I*X?cKt#f6eK zBGL7~j3YZK?PK(9l#Knd72)FGjpb6GS8(lT>i5X+P^6J9o!8V}P7M3`EgNojkuN^K z;^3U$Q<8dOP~oxY>$!D;DJsLKeO|ovVgN!<3n7-@q^3YTC>gr`RZXG6?XdDx{BiO= z`P-aWytW`%pePBb6wwQ_XZnN|Gs!d1+&d4RzU<8*Qe{{f1l#!tUE(tzl@SZOg>{>P#-wx< z=eiWcv&T4fMN2!!S9o?M5wt}##O4Ov^{%+*&-s`4$$2*mOA1Pz_daCzOi#W+eZhidSGgVD zW9w5zlWeJ-1KuAkc{y<|(a@#iK{T^l9YTYgTwm?C>k@!47!!0?dnR66oHfshOzbw> z!unb4bs{eb->x$z(V`FTE*|G@vAu_>*FJ_8xJNN}rLN`wCyl=q8FNW(E?)KynxVJl zFQWWnR8P@`Ew3({-1}mTD24I6+{%hv`i}p9dyC-EbW$l2fDthB!S9L^g<%j~4Rqeq zEqnOgx5#jb>(C$fXr@etyC;)(U}%$i+lZ!YN)DLX@u>^h}z*BXFy zZN3&dB@;IH+1HoAqaL`1=0b3j-P)64`FZkHMjAw?{e998&eZ`Hp%{dO?HaX$-j4zL zS{%ncB;7a}&2ssnM3ZwI!#H)?o5w)Ivh-*1&?&A&=wVQCs&G6|fYwDO^-wse#lB3k zl41WU*j=6|$ZCnZil&j#{XWLE_qmz2a4L4fej|s%Xvd=^O5blSq$T)TC#bJ*<@o?f zZh!SBT4~hZ35Be;l{{p_&4Na#UCG7fMbuew)BC*UPs-CkVat zlhk4D(-XGn;Fld1&n^tphDD}zMJCgg%;SSh8tmUv+(`1lJnX6Sc$5LsEkb-~G6%hc zW|qk|1Ok;+ul9PIcTmoK&89w7^+oH6g*+%S)}AK_2~0eBOd{Q#lV7nSCn=M!MXGF% zDW^&*4V|cJX&q{h5i(b~sB!U^oUb~2u%GM%_5_e!2RjfT;x4*mZx3i#9g!pNY;;xI zPm)QE1*&RcG%jp)5-8q^$%?TZ?}2@^-u1UM@H-qDhmp<{L3)_RRHx@ap2|OyCcs|! znEJ0Q_nArX%E_VQVJ^EhEK4sZ@H3E<-|66pq3)n^qIz7i5;lL!p-STN`ipsa*bV)v zD(4cU3DG?4g=ezT7uI>UTBuT5&)lThf8Q-q5mv=-y~4IKm;ut+<*v3CxZ;La>l{Ni z0R3g?<_nsrUwBS|ktIH?l72P-@EYX0v5iIFHt-j>E9jT%ro#s=ZH2I+Z{JN`r4&%A><>&NB>q$aHcpJT))C9m@ z5fC8lRi!o~d9|!>TLnO6^_9C0&-nd*G@5-ZlOv!(oxUrnw$Jp^V!TfAo>(6^Iak^^jhkJ*h zAS8!TVJkw_4{->T*IBco9FOB@_gTXzwcM_B)`P?Z$cwEI?Sx9G+9mRxe7#rr(fBKC=Rzy03j}iZuq%S>!D{Of%)E|U2TNGB z)%Q^RL~MRVdRwJ%_cgpJLyV!*zwA z!Wf$q&6~NR-$J*Kb`Es|?)&QR1SH;Vm5&>GK>GtQwJ5?9x70r9|38*92l4T{PN_HPDwY$^3L> z4JF*du2$I=tG~~3`V^~1WY=x_AF8q-#Ni?Z1JU!5U&h9}@N=C+n)s?@3`@L@uK~bm zxd6wWKXex2dZWv<7NP{V8vvcw{$zZ7neugOe}$BcU)%ZZ=W2zS-|t`X3+NQ~GINb1 zbNGqJ=N$X}D#@d&nG67l)jfTt{_>JL4cC@y;ioimICYxk+vS!6y##yAqE*dJSN;ZO zhe#jLHL`@&sM`jSB7#X!I)nI8kh}Mn<>P^1L&QfHW6h6*pXB}Se&|SrJru&>vyjJ= zmoG1CeAMRE&3GxNK1LDg@J)qb+D~B8Yj3i3(vZbUhIyB}WcBK>dwgW518vjV>BE-t zy~k_4p#kpu82M;aH#fiQLdN?!C^^_ zF;SX4oFvdx4%Sk``O}t!U?MGSsl2db8SY2=(+VCuPE}pL@!K4!<4a8#_2682YYI4k zWxB>#;KOD{$XmzUJYdzMjNs&f3+5FXc5_ptf}TNyIjKNFb=M-^3-c&l<46?mw%4_> zVGGmi>|L&e4or3E2U66pg{~=0%yQI;AhWff4bbP}-R>ykIgeeB_c*sBjMXm_k>v~L z?x|8EcuuWQPrQ247Rzw{PmStQ8;GlSWPdGD0l-&1cUM`qoP%Hn%x<9vAT#GYaE3NkN;|Q+MxmwuCgJ|z6$1lbDxt_he6G(WBi1(` zM0?ICuXf3LgOoG0$e!zchN6@9AD8(kPdZ(ub&$hC92$35Ba*M6D|4Q$xXMag(hDf^ zp;2#2jTnjybk1g^EE=-_L>e31$eJN4_Az;HZR}6%K)IRWYE6D4jrs`ZHmw7Vl-rg3 z(Z0hsv`i=QD^fk3cE96(y+3?z@0JvjJygbIx2lifMtrCpkpAIZJxNZmpS>zgo+nQa z-n)`xsrTiy~|e#fVsyk*?>+JEjvWPz9XZyvr-JDzz# zkwICC{{Z^c&-eZ!HyUEjo?iTV4cMVCrzkV+00zossj+y#<_7SGW}W~crgN9k{on;L z`v%AA?`bA-rxSp4O@Pw{!2C|<6ykL)b!+4kl|`XEED|ONy;Z4)T%^U zsd0a>%htqR&FCuV9f5Y5vH}!Wi8R(nGeh++`HN1Jj3!RoV!F+$=MEtP52}pphp%ii zqb+?4)?EHHO;vK9;#$)`k=@woEW;Q4#mlV5-`aTX^GN8mO6sr{GTx6iV_9&)|VN$u=l4*5Q! znw{3TO)TmMI)kc=7vr4dO}idSO(gA;S{bU4cOnK1LuOgKLvxx5b~VLhdxT?K-{h0| zls2w@+6>wE?l*6;B;MBeFld+NX?LBwV3n5T!Jl+>3K6P!giwQ8<|S_m3oU=JJD9=2 zh2(o0Ci$*EikcEWZMrs__^>Qm;lE!M*kgwMmctcRBO?6*& zFU!l)b-eXkh2=#5;ASPBE^)b<KCO!Xj;=KF* zm5qkcr(m60Dw73LK#drp#!Bb(OFq|{6C)gdwy?bE*)jlh?Zhh}ehFbO1d%@QnuH83 zRU{$vc=c^65I?H!0}e&;RSc>@0Or!Ey}SVx?>R{_oHH`}J9WG$zXrc}F0s;prX`^x zjeCy}@@gv&40$4!pJ-%H(L&D6X)~vLt!FeD2>ud(7T!m76th%vw>+>sQQt|4Xn$Ec zWUYHO^dF?61-nGrr2SS9dsckb(v0TwBhm4ACfsjpFN zkT~vl>{hz3a$BUKY1WNqN(Jg$yUPE{I9t}Fw`L&OSad)XCaT^0@R{jf^oMoy{)lnO z6Acy*2pO^RNskIe+72b_vsGCoK^iLA9WaaDO>(KGGf?#gPEs3$nhLtJn%beW+4hM1 zF@|lJ^QrTzF^4^-kJks8IiBE>!)8%C%-C|~-}Dew_$?&0XyZ}|!zm#3tj>UKO_&e} zqL-Z?zV5~xF|MZJ14+m`q-Qbrcfr@)-Qh|XE-iU8c8Vb5R8vLWv3>F}w}_%s;|lMK z&2Eusl?nxKW;*uA-C`Gu0Swd!acL&}LV(gG)?6>KTDpW3^`m!(g}&kymsV^eT&bWwg9@XZHq~%shzIQ(LXaDp|dx`zr}n`D6IUd33i|F0d@ZWv?yN_f@=RAmMgSUZ=_os%}d)O&#<`|8^zi zVU%>aWZK7()QKYm!Jyr3Z$L*e@O$%ueWy`hA~H5+M}>W-xMur;YGgR*c|=Yb+rf?)ZB~^rFT0WSujy@Im1~U{dTO0sveLL&BiEdr6_JE3v7tmgx(a^oTfu>yz{{|c;p-L^_nGP?RS7Yn)>cH>HI z_kpJ{vlLYaBTShnfU0sM`wpca7apv*(Ot9F+fZz!%Dr@)I_hJlFPzWjv8mS88hlT$ zcW+(O!5@aNRy($f(agM}^!G_+IWDz+yvB;M41)YsS_%?HW&?a|dKhhir?e^4)ah=W zfLQhqvyc0AQ`%@#?(q=-$&tXtIAbN9V)CWZ?lXpfoLB#3nE1$SC~V+7_~pIXbLExB zA2*;NQno^oEK`_TG{DAvxL3ux)8iAJOo}OUA(Y1S&A!e>6U2Ow148tVDZAD+N>Ep$ z;P8n7B_?moh23aj$K>}!ONBCIJMXXMP0*d6R_!u(V>Aw9P}rj(0L*F$l$p7P(!T)} zZ_Ax%cFx~Tr$f8$kxnIW;ZWmiPACEFpX#z=GOXUyxBjmU zc}2VcWuUZ6X0H;_z?o>laX0oB@g~d9;6*RCYtULYzu0>nn66_x%(A0U+L_@*mt-8f znZ|$0%O1DoS^a~fGq~|5Z{|6`pscT}y#2H-PJvvz477D_`n}J_zgzL*C5j%Gy!Tkm z$Q4DoW-X?n6eXlEiB$k<=;j>LR)YZ(*^#7fsXRbf%X&88mPg5=YLDrUsoyJ^hni_a zZtQi{W9o|@Qr<9C&#z)MrQlvEf<>5GE(M6fD5JutAEx_ovP81kc|m%oKHZUd*sse! z_7e6yP7-`A1F2U%i6O5w@8o82zS))+g<^hMbb~zin>!v{`(w%!U?CU1A%utUqa+^> zpN+@^vNKY>0WP(NmtZvATV5P*inveuK<4&D(zLzao;wx8xmE*d+xKr3jvNi~m7Kgg z*GqIjO)Bj%l3atvY~ZFcRjoaTQS3+Mk}(4zbzzu!?AZ@BkkPJ#efwcqAh%3Zr5IU0oQGdn6L)ZwDe37A3l|!_nrwa{S4e( z2#5C(5*ci~M7nNKg`~oZ;qIe(3QtvBB|BuD*nygC2;s{;eErIHc%NX{=Z-87ynI~I z!kW_(0w|dIM+#vlC4Cs#*{ycE@z29r`gck+4KE|jKa0$u1Vyc};AVtUA{yVHEz%nW51SoCKWPxg6Cd<>$2f=j6uA@XD2$r#a!j<+w{F{`xb8k{5-$=q^GccL_F$!6 zlK1%4q~;I`ks(|oKMrU`W&fW5rC$7v=Yy9Le#!>5TU>amK2tyrgQveUuUjHj3mK zoJ2O_jieG+?x9)0xei9IuOI4w=+oApXg3l{av6?|H;@b^-jv)3iQlYby5RdYHaer# zM_1a+PZ;cUxJIbAd8TjMS19u;e-j{5(%vrq2I2^f<6BbO7H*-=87@F`p5B+dNip}; zVt&fToE83Ul%k8P&`Ylo$DIL-vC%CLki_5ai9yYWfup-@#lS=bhHsjIP0yl~@q z^1PTzr^`X2VC~UD)#T=P>|}*FxkqhEtZJy5kx(Wg>F1&)=ka@#gN@{zU8XvyDR-z! z>CZRx1yr6Ppv?0On3X#1s+naCNm1?F-4G6mmTnJP=frtL_#q?`_AAhCKJ-n3RP$#< z%9cB&mj^FQRq&DC^*~j180tCwCI=EMW0 zp!#+$|9||7*+&ygOjGNOQ&P&SKCgJ{D*sUd0>)(8_H(nKSW0zSatC3#dG{xwW!GY( z){LR|T%o?v#Gqate)tWmT6;z1kM^9;em2j*U_=Y78{;q$Fv*C}AOs<-(%&UDl#9-=jDg2BfKdHwGD_ng=B{0Dm-JHAJJj(1qVFjE!els|UjRCMyQi z{*02x_*w5K>WtG_x1hCyU=fd!d=@7(wtdlGa%3`g`8at6iCwyNOs9GyN4f#X+VFCk zFY>TbD1{_+TF_T}(XR1OSX|B~OpK1J$$FpiDSNY?v+o(NBwi)oJlSh{aO0X_gWpGy7+UGGX-SN9ebi zf1aY139eYjjsGYB-|2b(UL2EsgP@X0sFUn$6^9n>gQq zB#?IieE0CyP*t5JlOh96nZs1$oI4Gx7&vX3*5Dz{J$WKFh#tOZow(t3oiKxibvXZd zTu|v^4J3l!LrtUd75EqEj?s=8@aI+C038iR08=mH+!6lyY+ zYIdtin%KJZ~uxc2=vbM}Ok8T#;mC3a=9S93#vk$SM%*>k``J-w)4y9d^ow^;E1 zVm9@<=`7Wj>hg{%(A}s17^ad2{pWq^AA{Z#M@F1D@kL63q1{n(dYePVTVmEpZQfTM zvyYY!f9P{{EN`@LZ(vpw{_3S3{DTJJq+YF`P|6|C_T!Y%k>RPM;|q`EQN4|A(rzgK zopO;CM8Ps+_#~O+O>^IQ%HCE<0jVx6H|vRjMLZPx^8A$x@vecLFxkjhm9}Gu_On8LWCaKTcyvu3?06k+TD=++ z{5te2re?2<{7C6+L}Tr7GgVf>v%=qO8P4LKF2gJe7zUN!b5DlvyVF3L#6tm&%Htbn zPE+4k$uJ?leZzMBN**db_s)6Q*REO`&+CFH_Os%q!VKe^4Npd$*xBtWd9KdWQ0BcL zyC&!~$-aR!GlK7Aew~}Xp+Jb8^rHy8?S1G@+hKs9h~3a>&_wJK=qzfAL)YenGsT5( z`jna`JN}Sk>8+7`Ia{KN7=d7z^%%n*cDo(O(CfB|l*435i^SXdQmNK6ChWm))`c&m z<6K4Gy8g1q>7Z*??$_oL$V>k#%0q!7iWgv%gTz$+vaSWmk?}!1NxVpvzjD)Mcq_x> zU+?TGggF_>v8KZ5T(ExRY=%cEgV~kDWl>lKitIa&e&nS%RzsJx9K+SSH0tLhM&gyY zM?+*}uniP6hRqcMws{aTcnAB?zO>DVMj*Kcc;rk1(_#w_HYm~vhrQe=`eCNa*vhZc`g?^W{Ovs z)=UvPZ$l?}rmR0--8kW9=pWueDMDTZr){Kpn`@{vY<};UhkMc&R3v8Q_=U}zr0^wg z>oRQ~hDbHrK707vDIqdGZLJ(MkKIE%XVJ^Bk763My`f>MWkE}!!gYtdGTL^PqrDiQ z_GQQ7#tF&BVo3YRIh8MM1zmL0YxIXr$4g-L^pzF#px@vAtL{ev1pA}u;}37OZrht6 zRu&P9&(p1B&UroaPxf+y%r>*MoPBS6G(m>P;<-uSlFS72`6#USe;m{`!C^eSAlZrg zaX)=274A`bI=_Fh~}%*9SfefDdT#$ajuUg%RZCxjj0@bRi4Ue zcQ@2`dYRYP*ps}pbF^-PjXgJp>hF%hNQ%`jQJhIbio4huww=wrs!~ql=FdE7;!1*1 zmJQ!%io2l9Q?bs)8u(?NV$u^lfBbZ(bHk`d!4wm;YJomg~JCX|U_lVKC&S<0|(prQ;FZwOx!kv^)0 z=qBiiTIxFgKpWwT6b7CHsWa;vcYs2ehTxIcs|gVXVe!Dy=RRCT

WZ9pEHV#4 zvz{|w*v5Qv(bb9x1%LnejB}i^ZCwzb#q)Ua2aeldW~WQ$B6uCXP_!7%sTy^)Q72pH zgbEcEAKQT>380VQe~lJRqJ&NLAax%FCZ?u?radFMM<6VRW_04K7Bo$#cGpNjLD55C z>R~}`J0|q(&voc1zjn?_sowXnX(O^P>ekoZipi6RNK9yz9p%eXLeWSG!XMxuzT`+- zdgDI}Yl$efX@yw}xyRhS4j<6Blo#W$^P1tNOJGkBd&LgP(uD|pAaIU=#>>YEqBH%6 zUuEtIU&+1`85#XmeEOCHw$r1|_ZkU3R-3Dv;*Y3hi^+W%VyQDVUT-G-zXy63CPtZ2 zaP}P_B;z*DWFVQ>NZ=YZk@||-pA1Q_u4nrgAb}@243BCc#Ur31L5bu>Vg@!4a_HmJ z7nj;BM}pM{?TG4IZ-nKh6}+m|oR8JH0HcTUGQvp?lULW-%n3Zin+_)*-mzp_;CP)?>jnsuQ+51r z+e+>|MC+2xOux_mX{qYDQancKfS6@%Q_y93``ew}l zm&|OF4>dffe0|IT!LGwM*Y&Mud&&RUX!yN9)*;bUGwzpk@W&IZI9V$tok`21O{R;x z`gBfJcAiiEO*3n&F*E3TLCzz@N^(>F$)kF6E3KJYBfVWx0LZWG)NqTt^U!c2|I=rI zr+=+fKZQB4gHnqlXo1mFU^$QxS@TJFq`(Q!6=3iKU)hA$J;1{-`ZpWibeu6a-oU#l zf+q=!*N{|~bwMPDZvJ;J!@rKVUsZnZ;L%1cABtZj)MeB0*O+#UU#q%k0T-A4p6R9t zhOSDZa-X2&n8NF>Dm%zUIO;+-EVG=26X(i}xHB&YLyxvw2gLt&e}o{3gR#=Lif#Us zm_e8P4+-Qa`Lx4Emyj)D#AG_*?)8aa2j!pBWGAWnvhwYr{4&zjH$Jyqizei~KFKWa zQgq-*jM^#ic+$V-ZSM(Sq&)>o^^4BC=Ieh>g=X|stWMnb!ZNftmfywGgJW`gG_CC= z#!o+^KI~nr_7V@q^n64xviD9^EWI-Q?}%nv+AzKb1(Q{?x-%+1d3lm1_Y|)mL3Rub zz!a*I=g{Y%+(3Io6$N##q<|I5?@!2JhO|FRM$wOpki+|C9u@`^$|FEORPXzXytKD$ zArI@>*A%0A&pB})RJ4(u-BKZjTwnsfK!?3fDM`81Wqjk=K#T8f9f!+X0i05$wOEn|BoM<&RE6Olwm&KiYryd$OO2u%)-?3V;y;Ms*YV z6P|DTmozxlxjGAHe>HD>t1QAnCH_vz?PSjszN&!_2^@>5sU&=`;OM6CTv=s+(}_iJ z^3Enp845dK`qShzx5AEr{_LJe`VQ|E0VSsc#papVcJ~c}Lu=35a0-Gd&nUaBn;Xhq zQvR*Sv>J_l&ubVF#El7|39eYGubwmkJsZdwydRU#ZCJ>9_x3b{<)1s#MY@o?_#9UX zo>LI6bKOWFpo8G1Z4lwMXtl$LUx!aDFj*8)lbarq8R&I@ZdJ68aS2pE^St&V)+Ra8B->ZaEU%$|Rk?*xfbPQB_$tH?ThXdju##06^KEK!CF z?d_p<&q9`04bCf1h<&xzLh>t{db$w)$ON)20zP`fvrD|K4$T}}^}d|P zNoLyLj@OsKe0g1I_^nNwd(WU}rN+;Wls*CRK4uvzGWNgI>V%L0Vu1rEWcKW*Q?(-5 z`*r9@9T2m?I96g)il9THSf2FKdI$lDav)X$`}=sQzr-w`rKrd2`0wGtra_4(5fgye zj&cF%?Qj(>9s{E_lRw~a1tdv-0UZ=pefzNrC|R`Qavu#G%pAi%#2H*uCsBD!MjsK3 z41Rk5@HFIGcZAYy3k6|*rTx-`+W6sPJplQoW~imS$y{v zV;>vxIUNncRLBd(yeQ>CvBAtY%HcQLZErisP_&C7gBSGaoE7(2mj{2;KUInA5t97xieHc#Er_ zl(Ll!b38GzQv5yI1IL(@(~*GmFPk(}7Uz9~?OPi7>{{c`CX$unll-(b_2J9hR$o^frI~-D(D%iR|gja(rg)8^CANe*0l31^PN~m=)S{q~x?v zMCz?@&#g*<8u^-LQHadrFK=!+^?bl-sUy>uvwl??Lvd{brpQ=xY zm6KMIxV-13 z$&#dGaJlW_ZX98kO=w3&Rtr_hSw1!CPzgul;uqbH2R5Ht#4*OEcmM}3bF#Wbd}wli zakEH%RqR@5Gvzu@4F4Cs|0ziqx4&x*T=n@a~}7g;ml6ghC4 zH^I`VuSSUgMLGwur=7`or9w6jG66ZO)KY<5qYsl?8<+&V@h*9Vvmt<++zY~k&wn-E z0X+_=f;~#wkY_xcSUt~1-Pb{?04d5L9J7*N~tG7*z^MS zRvgtm<8ZyZ)5X~;b$`6VZpLg3aZU&X#y&*=vVZL7$U06NElx-SYKE0aF8W1k zE6e3qRmG3l0pK82Cv>=Jc>D?%4%pDdr0L+MQ73SqSFe)YBQrsWGHqS#ywYpxdR2#o ztPVRaycuG_>(jP&PgSh+@BSsVXw!!|U0k0L?gTB1?2BhG@BgUVDatBX?fy z{Z?pWAvm$uV=b4ziR76+dYZbO)%579dWOS8V&Ob(^bcE*yH+XBLWa08kArH?Xd1lZ zXBHoVZ;Ixy0w0du4aKZhSlYzG>%+<*j0a;P44!vXzA#ZJA@0o%hGp2;J>QEuaf}V& zjEz}=#ZyZx7Mjs=-5Zf0Dc_+rv|w44h3h(Q*V+U-#y7jf-tZO*{B%m|tHJqvY-FPU**hqo{1&{XBO)O_8HMqAaA+DDaR7M~G<>n%nH%Fs|?g zE$G$LC;?|5t1dDzvxqw$vNG#OM}7t)%S!r4(WE1DP-u0>3>^>nPJ|X?kbpk?s17aU znewKr?U*&*e)(DQ$^rNrM!xmMaCwU%)FG!fA5f&dO3Hjv3(~tf!+)Onc{B&JcW5iC^yYj^GcPph!PUR=y7_)ohT^qwwT^C0da=$ za3Z&n;u*6g(k0eJR54F#1UsOn!H5QC!g3F{N)#3n*KQ zzZbiOIocp2$eoUW6QW}oG(C~5KU&f*6VO7P4F1|9aVDwWD5tJet<%j`)8FsrZ?I0ttl9X^dLf83P6;9J$-!Z23&L#;?48Zecao-z5 zT*bWT;VLN0uvBzB$!MkzVb!T81{Rsx+5s(_vkvhA zk}w|%9?@)_A@f!#u0DtE1;;pHTso3}t>sb@x9D}|6FmkQmg`Tyo8fy1`sL1jgXYEv z5X2q7u{8sx2btKv$T|-55}Fc!5qzFgPtK*9Rtn^#OKPdH3qBw5shC=Kvd3k}=JAR$ z>E?jR@SoirW!1F;^t@}^^$rw(ve5?SS;N@la2}TF&SnE+A&{!-e!?{40M?o*_@PG zuDmsP=CO?v-OFX6LNx4d1&=(aVET85v%=|uyvXSL$lq&bK!lS2+%>OKCjthEp zS!motJTTqE8JqwK4agQ3Wdgoa!sO7yW4>Hs?Qw$K-`W`9iM&_qhSHq27D9z+enjl; zNVBK^PU1t`x=!`)+;_`n=OO%Y?hL{vE7jb_oqPqA6C<6THv*yLr)1rk*QgIXTbvg8 zqDizyv+MkF#D_-j%a%M+#75ICvlO`V2A|qD82hNRi;yXGQr^^D%XOO40ayzLSW!S- ztD+n*J~c={e_%VD9Mi-nP39Hf=eWAjR1v)c!bDoM7kLWELB@qA!#4}+yq~uz=u@S( z)E~X>2tQ!5A=>4RSLH%74QH!V4h6iVf|6MzErsQ9tq#lY1tm?}<6gZ;V2_C=$`js~ zx6&DV`dp=^_qZnL+d7=ICUe-wdwfn>Px$+&3#78y`KlHQqm;APt8rba3b5O*>dh&Y z$%tp*GQtmIT12W6H3TUFR}c*K+{*o+#Ae>mD$klrtfd(LdfVq9)VArDi|y8-2UXp` zYVn5Ca?uHI{_W@brvaXs-tvO~RehBaOrIn9j0YinAQnb}WCg7U5y{TH5^izA_WgFm zr_OP}bO8l8w^Q3$qdJsP%HW!UrJBOruQ?tyw-@Os{1P( znX|CC+AkOSY5k~7tM#D5%OuI_g0YozqzwL5Z))&mG@NhE=r>8lOxB+OHx@JZ89o-D zt1qFkUQ{8ni{Jbzcc*dE*3&QTzdd;C{V~hzx#ZoQOW^I1Px*|B7umlaeUdV;d-v!z zndALN5NyYAwEU~|&6J!*bH+b6GwU#>^&}(V95*m2edCaiFR-?&Yz|Vg!(_1{^}y%$M{9u$nZC3#L_ZW(pyXDDTQd9`(D)POq1_!rLT?|Q6+@cr_aUeG;zhm zs?95bK=IJkyIq{i2$3O?Ir-GNQpyaG(dUv;Sd5^iVj?2i<#AJuCekkC&?vtL1=ZIR zck;Y2q5UL4rf$q3XiA(()EAMZh5HyL;z4o_PzJ4=Ki?=(XRb&F1l<5ePL+-|Yp~Zb zOzdnc%5jav9tg_Q>gx0h_UE_pg+{;`H_LkUick0s)Jr4bKhwC2Mrw$z^p!2~48iZx5oAuOL_3m^%$GY4}K=7l^J~tBR&`QmY znc(eS@JiLrT9B@VvZPA?$~e)uw5|844r8vsX;J-z0jw^-k<)@mLUej?=8k{b^Q!wK zGv;XM3fW>;Uo3BL`pCTb4A0o~ZApSKk?shz71hImJa7=A(XdYvA0i0sri*4-*hzSo z8%w2lx`t0i_{7I<-INlo2gEWlu`lJk_3VZD>hA8;y(c00?{KDgyOn?VsP!q~m(A~l zRFB!OMb6UCb<4g>wG)j3O0;iq8zz%->zG0vOKTWO0e$$af*Ji?k~JxJRsDgFfNuwC z3cirBH2*;A>RY&~-2hVVa?#91(8JXyfag^T*8+}54Gfkbr%o;lB7w;Ks>se~wYS%N zBV|0Eqzc#EDWiSU%BMBQoaO)_H3U+8z8{7W^(TykAx@kueVEX#DA%7oN4r1jJ>zkX zi9Yj|^iybSYWuk$meu6352}pz>bF;0!O@)oR)}P&i}p~b;4{vZwa+SzaL3>}j?FjC z+yPEbMh3M?D|G&xm6fkS+41%=M)el+R`x&Nh-N>}EFV!)*)lhybnFmFk`2Qtth!Ye z)CHJ^*O{h`qGTQ+x)RapzIQVkQ<6m9z7|-XX`}5M994DLtCYvcPMqq*IXxv2l3tAq zTDFPf7cnrU5f*BWX^Wiqx|(Bt{UnoDf%e}GjuNM<$^hW~Sxr_S76}%%PH}FLC?@(Q z5Z|d|@kdRn3;p(^`8?SJico;G*2g{_7v8rK9M!ivi9adnEmfNvscxUC=1v(2-*6xk zFoHqXEWt-E5K|BT-EyWRCwy;T(SEKTwQRZn>&QxWz%f@gM5Mug zw58LbymjZ7clI*f{ejp$(nn_%4{5j^7XXIJ*#UNL$Sc(jZz0y0^Kbto@Ev0b<7xe? z-VfS~8JV9nhR=Frcfa`#>~gKdhobQ&^XML?ir=6cLCcbF%D$9D2~EA3ufWePu8)+o zZ`m>kL+yUt&+lol11KAMs#cB@@V0Gq;5YLENoimAYzKZaF)MI8*53WC2=4>$9^4DZ zhA9$u;|Zhxv$;isvmtA7WPup9h&|`}=en#GbjmUL1uR0~nK&getf|p+ z?oL`*WIpU(XT|y$oRk>qjd~+x4SlP9_seTf%CT_udaf!Mx$04++lq?yxAD}vBG5iZU?mEe%3Mcw?pVm6kc*X6y>8g z6~%MFiXh3#jeRlX$dzV`iWwlM1P&R^*a7Q`K|8vpSM5pHCDVn0zUBU4Im#t~n9^>s@>UcafI?0f=!! zVrqT$zKNy%LGMxes|fo%Cvl*dPvw_lwEHE?^~%rJ3D@L7ZN<%$$ri(6Bq7QNX00?7 z*%85u?sx6u^X>I|U|5hcR^YFe~t1 zRvb8Zro`LTS?bHURx%@ksjevBNQMdbpw*Tcug=JrBJJB_U%j$A`pd&PlBvF^f53)JtMShx ze9nGVNVe65Gxi?=&QE=mSw;!SDbO&>RF!-Z96@mowDO%*1p4ro=WY0q=)!$IM3In1 zz8W`8vNXcmQMs=9$i5zaT>a;O#d{^&b#uklm5`BNPguX38Vaw}g&W|Tyw`$3u}q(W z7kGC5!Zm9$-#sz2RqVQs}?4=Ef&%bM~8{D$)pqxUzT8+IE`?bDs+W)z?&_|739%_XkC&KNeJ7Xj{~g^GfpFa@A`r8fKChL4Z=rH873ur<)&bX3I*nbF zv3r(+KrZAbiWVAy^kmGsPeiHuZi+_JOc$7`)cBxjX6TzKNw!hK_*5nzr8lR5s-Lqo zH{duV*v1?By~@18SX4puXijteFSZ#x4$UNh3N#jn;1_NS{8|IM(CQTUipO7`JQOK5 zWkv=v=JN%rqVo*Ms3nMWL72YU{c#;n8_R%EK{^I&8gEhUW)(De%F36lBxIAP5v}Dp zDF;3|7z$#I?abLLNhL9r{kUhW(z;`9;dHt=!k+!K+&KC$(@E=LB$kO|{dVylHs5sf zp!L3Jp-L;XwU$zv4j%+4xIJL+6bUC*w;lMJ&Z_k-# zZ!1gMoUXFv@8_f-NRktuntP&y<2jZt7-?8K&<|sEZVI)dO%or>E!r`A#x0J{ z$W#8iXmBE!`T@WQ&s1mCSFTAB=|mz=7qf_5m>wAIf}DL?3kI=)by7h2PE3`q@e{Vj zP_|jd!7?KTgULy-^}|moQ?$BdxG#FHqGIu#gR50E)Td0RARo6!kh!xfI?DXnpNoKL z9tU6L^>~M1>Q!`icj*mQexHh_hAK3An?|hl-p8Ja!niax%xm#y9}?w_`V4ZxSA5|U zfnOtD_ui;}elzQ#b*o6X+$C2(+H_eS^FjW1y_(yOtMVB_xnz}6O8_0>OY!tFZxoBE z0VnHuJ2~eEq)AEP5JELWOETWQ!AttMnSTO1l(U*RO_ww!zg&IE0FQ7a#C6EW_D&Za z%-OC#NwaPuM$z{@_uFjyN#PHE*|X$($gJ>$1s~f)Tet`FY3NVtHe2HVc}W zgr5YzhVTiWtb+*L=!MMQGp>J66pA>Zdo(?z2?xzY5_BGnMaiXiv(n^3)jkZ`t2K0* zvjYh8i+}+`M&vgX1Ash9cj@js>CkxhPF;MJ1Wt~`A>6E?A5J<0l_Hme{9PE@(2ZEF zuQ9ZqT4ng9DK{*ymULn=v2=lI-w(m+450Jd>w46eD(*AJ9nY&_&YQpZ0{S;&gk|&M z{J1v>dIh5P4^ulJ%=S4UjVZmyv*d;FUX@cjM0js9&1l*3km6wrrff>uq%E!4-ZGHD zf)c1!oU|Jl>nYBFudrAwT|~e}qIbYjQ(OJt4hfMRzB=H=)Vn-DcDJGHIy3eg*HV|l zPIm&oD*JX@+I!=eu9_OYn!{Q7mq5Pd+msR~(@IwptH7cykJ_TH%Y2Pph9iFQti91m zGX_U}28P{ln0qQleFfqJ`3KcZKEiAJHg?KUOnW9e>E8GBm{hW_nWlSZAI6!S8~l4= z-i3LmcG?^{K>R`Mz(CNp^Na*BZx#1D7j*#TFHoQI{<}nmT|f^xTh~;JbVI}vxfSGB zXo*SX+wzwB$qbWu|C4#YbcZHm-6G_|?{U8hS9PN|*rmx1=RXoMaY3!nPNRdb2|yZFfAMqye{t%#=8nI! z9l|PqJKVz4*Fd#-CXIdBVOMV30m7jV$J}yG`OkiX(xKUj;TG=4mk z;!V6_0b^>FtKKwNYlE8;udYM)++2rOTh|QoFZL z-bopI7|m*tVju_726UgnBXnBA_v75vihJmPG5Rlfe7!MG@K>0#BB&D2LrttE=0h*G zcsr}PpG=7Dw%u&~jb5P6g1 z{gzqu%}!z)@;&+GOZ*A|aDAwyu4ZKF-G3_kdfifj6U%ImHBCnX`&SGrm!znT__dWU zM~q(<6pysd=vdV=hJ81|yIoqm6qh}PRyy(QrwqK47qmU$fGcp+Om|=fN1bc{f1Jl+A(T5GO+M<>V5w-VHdN zYf*^oc>efw6ZeX+kWub;*%^A4ED_gaiq_H$iypjKg4#oKP!q9d-R^t!mjusi6TSmB zn2$0x;P|o7R?BeVzwa8+6xl#I8l6tVa&_L75Pt8cpEG#E@bBK*t3|>FWYlAMFjc5~ zVim^r21zwfaVL_?r3=NZ7uz z^DhlE=?ilDBB>bfkJj5>?I^XS2mJO949kbs-WUuYN~X+b{dJuAm*KMZ-O7hiBf*Zg z{2mjrUl)zevPDS`0v2ssRP#1Z^s(HzeEkS2o@w* zd3T*k%kq3@FTCHeNtslTZMYIY`e9w?NIHW^0BA+wgg?S{(5mCpV0B36@s1 z-g+49_W6TE10$&^3uEJC0G?l=yWx#aytE3I?1YwPXfkvp@W#+5Nlp{K=EgJEyjWo8 zrI~ViI5r#`a<4{yT_YU(H3}OMOqQapQ=o^hywAX+X+VEN3sY2J1-dIol58YcDo6h& z+lIS}+_r#{#y|~1gKR{y1>CS-Sgaz@B(}#MQg8VZL=@dNDjT;OaCWiV6V;(UCj|aP z!|aQa+?J5z=@NzC?+sh1!%n|`T4Et3RtSDQFvy>OBWag&K?n39ur~-`l~;cMQ>b#x zYjTRP6eEBW=vIN=ZA*Hq@Vq+(^5(9YB$x_M3^i%fhOyy6jHtm`2^~uuT5QQLp`~eA zEDx)sY#m|OMMNZXwe`O2OAh2{!Ra9Zc6PxynfKrXA4$EPAh+~p8)u)m zwLnl!O&xXK-h*$d{vGzE%y4Qi37BBUzfCJ9{22{X{=mCkT+0J;jRsu8LhVDKcO1ls z@V84XVu(G)S7~<;rLLx^V9tgFVb8xpRTB^x_uFd6j?IFlME<|Q43+Atb$jk=lcx07 zd#Ow6_BA3swc<>U4B8p&()?gzB^8Bx#(c-KpgR9YZQZ`vvvn2!HQ#kRhJOY;qU&rX zjgYgOq8y7Yyft*1`Vr;$S<`OQMF+TPT)J^BkPGFXZLnzMCzmo3iyZP^bx61@t<)0s`+R5N-WKG^UX zRwH}Na8%iXv=9F#M?Aj%aKg>$|)Mp7SkQA&HS`@6@*#!`Qt|mm%q8L8xSQtk2#=M0tRfEnCp| z>KVg^xjK_VjY(DIsACBc%bK^@<@4-XIY!~f7>bL|#h9bh2jcf;ZEua^Pyxo+UItFw zJqNd43(TiB@n!etUJE@kORiTBl?wo$nDU2F|DQ5rMe^F14w6jf)(M_SLp@4S*Law= zcMp)>k23!J7iv&lQVbjLCvGP?#rVwYg&j?p_>pk>!y135S)`rG`z=g)tfx9W>vkg5RCdrECbV`_P zVD?c446eM=*7PnMTs$&evG<#GZFDQIY!LAF-Y@m`{qaOr80NJYaw6PHH*8igM@5>i zKz89F?SRu|(&qWIWM)6J6t#C>-ni)O_f0b+yT_-hs`2qKt{nYc?9OzN@~U&Cm*Y^+ zmtc8|-Yc|8!NK*J%5@3ADPK7BzBvkcABx?49*TB%%Cc0gylR>Qvsi(S9q*R$e= z{Ecgk`|?{yx9bExyX=VHjGOZ{SN{JsQ$E2R0X>8yh}p;oX-^P0p*F0ikAH+I>sd5y z@GmsyA_7Oo!^7KQ2N4t^cNwt}70m}e?chT|4b}a%0xxhEyL%gYj`iltw7UwIv+#>A zY2ePfUxmh^k#`H&RQX?EbKVvU54c(tJjGI8nX>?qr*LIJ@K2IXYk;%Y9OyBomWY*S zUoQ18zHabVtRQ!FfPrAa#!_N0%N5PbhW@i(Df(%vXE!?=rVNihK@&zvwHFDq&Zj3B z%O=IepF7AyLie5u!GpQ(?%eX+&y+lQUH;*#qi{ke7Y!*T==E^E842^y(|Yzz$eM9^ z%rwcW;Sh&+`zXY;0c)3z?w!OnKeZ>Gnts4GyJB7!g;(Fy{G1VIUr;Af!Lor#M!SFe z6ya!JwgQ_`&ZLIrbNGi+Yd;oD$;h@sle&ovQ2-wKI;Rob`2Jt41p>Ee4xk3P4usvf zgeb>(G;ln&e}@)AR$HtB1jCh1pX-8qqq#!;U*w82I|{wb=nEr=8JG$1LN&mH4Xd-? zcS;_L>W{JN8r~q!`P0E)>T{~AY#|_6bW5|AViSZ;hNT8G>G8DE(Nf63sy!7JGo+_3 z+ec)hJ*&<~=TdkmwxJ&3Z&tufMt(Q_I|7&04j$iLJ4t>}Fzb}Wf)Y5y6(!t9eg2&3 z9y;RZTzzYyX|r}{F!=pxBa7eXkA%o2jbB8*!|>!6LLy&Dn`faCCzVy*I{7kAf>94h zyi>7j3dasZ>mt;h>}z$J7@0FfXWfPyy379A8(Lw$WleM>`s?T(+;^?Cp|T(|PHFkA zJHx}k;4dngs6Vp0OjW(IBW3wZWDQP}2Q&XwXTLfoFtZrO@a;B|+oY7TEIG$X6hl%A zvbIK1>_%K0CoOvzc4ii7zjl$A0Pg6UUYdRcTkN(uw$5%!O+K~Kn(1qZOS1DsRzWVx zF+5?g^k$tW4n@|4dQHS%98%hUV0LOR_Bh`NR?>haa8(@{2T*&wgQ$p=pvqpVq?rea z4%4_sjrkxHn-n!PP^%64X0m~O!RA5#$!;pDLO9eVr0BYq-Ph%Xy=;?LsznMI@q zU5PV}?LLBuf_2d?_(cUkGkQF414)#5 zC7|M<0V#XKk61>7vk3zCIi>c~{(J7qKe}C9`}lmtwm0IzMX51~HF(hlalc+g0vF=& z?mr+im485HcWVM}5;XCADtWFO-gwC%RRy{WnRt*S(OoO?GBeJ(05}@lG~+w#+DhOP zm-A#(rQS^@I{3s_NOfI3F)yZr4Z%BeC7wRX#GPSw$6(srvr*h=z z?LQK3yfCC&Wk11TjLtqJZB^M1y;JkP&);fdc;Vrv^n>Mt4CWQBCr#K}D%Z#E*A0i3 zD=J%$GTf~RnLXaR-2$JEFL)+2QSxN|CL8~BpRcM2Y7UND;Si!;OAWMBV!Ihl( zWp9jc4BH~Wi-XJj$utmhP5=P$vpJ!1`OEW*e(OLbTPy4=6-Bmdnp~%#1oRDVF8_Z3 zWCYf5R_T~QINxa*RDtp(Xw7-EHq{2;Ll`3}NoBw$4ZrgPRx%;CBYmi}(61iYJ*7VA z`{|hic#^84@^_q;tU7e^Jd)1Gu(@C2kb#WJQWB`6;{?;;DrqDn?7*LZbvco~qc}txUgzZ)I6{ zj9qCg^pJr2nM@h)>n2cy_Jdw`bH+k3?{MSSPy)3Lk&&Yi8@4?G!p8;-TgW4sl^g-WZ!t3zhkg1}zxU#kULIDf<0_vL@4r(}m1Fr*=cYy6ce^eCcEAkPkF~6o)3U zbCekhsFKw+M9al{5BvJNTO2?&_jmT$Vu$RW%cNeL{H}13rm(2HbM_7mbli86_OoMN zG5%taWT)~u1#}q41v8)Pf6S_Yz9pFM?X(?!yz~HFf3Wd7KM=Mt!17$rfnNdyRmf%ATEf0-=Zm&}r z4=>qPlu;77c9~Cv*9US26RY#UIGrj+PS`@Yl%rky^p(#X&Nf$)n_+Hcnk|GWauD=Q z8|J+=9ZVQ4)8%;B8Ze-2-VzvbO;1AP2TV;Gh1r;C^DhWhdlog(%QGF{I3*aDwg1m3 z&~Y(TLxjqAD<0}GecN+B9(ePdBkY$#(;`_vOTC~N6*qC}5y^^EuOB8#eAqZVALA4C zed&H^6(;Pm*8kh0c|_0;nu{T2_*1)|Ge=^gy=)Wh>i?{TfB$DKT#mpVQT=ptLgNDO!Jv6^zV}>h~_QQs_HvtkQ}uKu?m~7G`L2On!SaBHPRY zrcWgvO?xAIj;)qm+E)pBT)%&NPc?sdFb|>%BYS_KR+8&G^VW^V`Ki_epNp+VW>tn8 z7WUy-FM50JcoG7lTY?k8?yq<+nSN2=-@xR8ZW4#(?v zxXv`q-Vn2O-At{T;aA@plmnn~AbWsnRl#(`!%F8Wn)lVqu}YI890ct`FIO&s_X)-# zs}?uca!@YBS;EAi%WwJrHGzrXhId=wwV@^gLvo04qwOX3cr#D{QdPoZDTbe^K-{l= z#BYu9f*=%8tVm)s2G)zf9zloP{68^ql7JO$BJ2e?4dG*q~0I71kfQ)P6WN?B{3sKNq zwpj68Iev(x)}L@u03}-KANSYGDxX<;ewZ70(DN~OsiZg3cWTdlNhuLpK!dLj^vc7^ zDtt1^Xcf^{`TLS7d-Xp(@;^XqLXWhpVWq5*ptL+4P7bBA7$f9cnyOK<3+?lczsD9% zgaDQ%d}id@wHxATD&SBhzF+R}>_Z{Bp@dMUv^!5WzOJvVTcY}Aglt#5wq5pqwL+eV*yE zh@YSjTQ#?MUkk(V*ScN`EtW&5!xV+lPKX+9CyMDMFyWajee@m^pf8-`OP;XYW7qym zKc!yxU>0_~IT%}2FE0KE-WzmJeGa98RkuL&4Lsk0-VAaG>*caAkDB#kxsH%c05j zShTXyN>K8dr?YO&^r>Ut^vk4y%Vm<_cITsCigi9Cf~I{9W(MBvXU49PzgRB+NcB|7 z^)Ox5W*|En9~S*TTzzFgR9(CF%uv!uH>iZt9fE)&(kU}^NDG6MbPgy=BS;PD@QA_+FAruf%<4Dl0PgU2V0J<-Y#_p5>spKCS3e- zEED+@Fe(TMB%d0jI9O;_u;cluXPm{B=>`$n*~>1LiFYoNL=%hdhUG>*V2hww7{^IG zihD|WCy61X)4Z^?4|>})T~s*sm}E`fw~Bgv?Rd}!l;zoXhg&~g&T8$+%x2Aq&NP5g z=uZrHTE(f_hGV>is=DB9mE z?bdMepiDtKn&8|UK{HPNkT({#jphWI-8WgRf7*IFM!2jon@N-&>Wi=+-6btYm>2V} zOiop=-Cq|hbJsqJjpzm#)&I+__W11Z$T)?tM=-r=$z+RvP#((k4fkRGKD3hL78OH7 z!(x(V6CQ<3-lPN4b(FYa>f!bk3b0_Q5?X2q*et0gR4UW7M(`h7)5;{q3E zecuk~o}^{Y1zJR%0C3h}bmOW>=!Txmue^w+e&P0(nwhT$;~r17fFW@paia$r9K^bu zw}_q1$0qOnZgG~gMz*j~o!!ZGx(<`0X&bvaDKT`<4667EG8+q ze8g?-S?7~G-vm|2y0z`K@}+hK!4bw4CqlO0K8G7?pY(P@qhVe2{cmTXtGLcCU~kAf(Sio&PW9ST$Oy4kBRxlix-aTCZDZcWvo0~ z$@aDUloGjd63}MiZnCMJ%f*#MhA7u?HakX3LXGo~8irV%i_)9jEe4fKI}mxSC^cQ( zW1IZU@x5RNY+g=ze!)!3W65j{qgH?J@}f**=eOwVwa+RD;zzh>?`OecccR9qcA)cb$4&*@XoUetGMX&nsix zHHOW0whfmUFZn~%hin6(^)SiL_Xy5ez@wKOa?tlO`G6VNBjg*HWL<*C&c!Z!@Jd6vpZ=@kJe& z2j8eAyv|5cg&E33YeX9QX}mTJJEoXXWUh;)TlkXyV)Zn@6=A*rnUf?m4}^MA|E$%r zY^~F<R*t$G#Piq8} zWD0TDrN%Tuu{F#1ig;>KZ*XT}A8YmZi{RX5w%}1Al8c1a=j7`r))574#U~}*;KGir zYVEx0^vv@=8B1yk?F0`+eSNsemCKMW-7C>wj_!JVNEP&PWN=mnwQ z&M`;LS-bygHzwz0{;k=0j(W#b{Jz%uaNots>COT zcFRq`4@2^>rdOnmYaF#H;8Qq}#hTC!YaRb+`F)u=bZhTeVZYXBL>FJGzF740@?GB= zA&AVl<*VqBy~dAr!LL0pjsu`ye9QnNWZK(bDH0={frOqHdL zT$WY0^ID@^>N6`#udNuhU=OVG?uwq@*4{Tp2NRKu4gL^6%Gs~uGz}>G%?`I^8vlt zCxp*M_7r&@gpxksyC<(YXI$?W*w(Hd%~j2}i=RTDkX3)fFccFlAOfmQG8!|%-bEMR z?Ay0@JRh8`!MX>-@D>BeZB0E(J`bAfo4EBvkFrraClVSvY+-JoCs_?T%-s$g0WT@) zq+0xeWD@u@Biol4yBliurT(5n_YU8_WIUMki#vJaAv(^GFJmcuC>f3U}KVx}A63@jh zyG*)sWCqf`;@)G^WVtryXawTrR%~p%rXS4e(WgZg{(oyX?~cEd)zHT_OHgRr^4>{} z`bhIO!37$%%JZs{e~0LZiw4CWc@4SJ=SaXs@S}~U5CB%Wwg3>rMwczDY0GSq3B(Zq zb7p}kxkT8`1OQRw9F)<1S+32J+cvpoHQ$tz_V|fw*^C~LiWNFt_4JmO4?)aFL)dGP zYm$;V1K=q9Q2YVE(B7B+VzLEiRvZp{50gqMOIQ3aYG`p&W!+@RV;a&2%h5x`TH_|k z1jiR$R#mQH;)nw8&pd}b(oK_DIctl8{ra=xNVsV?n2-p$f%r`|@b zk~VjJj-$&U08dv4)(HS z2+kal7KS?DHuNUy^!P;_^8TILcQc#YVWbJq@GY0WA|hz{U{z!L8L3c% zVtr<$BX%Xj0dL13J^JJ|E%K%O4*+^^-M7SEN$ zFO#!#U4%WZ6$&`eUEV#M=k@wJE2cX7?@5$*7k#@wH^ukEOcSq(ev1hwAA*CkUaOMv zK+xX)+*nL+U-*fbBmXsyR)i@J&k$iqr+rZhMRVneSoT1!Hkb5D7*P`sVAR)$v0@rh71Moej6AmVqVhnt5F7GoN5lHBR-XNqa`cn;m9=A^y)6 zxy!ONXSFe+JnF^3LC+;-e~z&M#`-0rT{44)vLsPbvhK*kw_0PB^Ai!nXS9rX(JZIR zRa*$mhVwv0W1l?Uy(5l_;e3Pn_rD8IR5^zwi#G1y?qd_zCx?NC+$LzR-IRG}7W>Ey zU9r$5U({TKJ3U&$UT^PpH2umzx`R2(f9dD?zViVTn~R+FK{o2JyWN}0XXY^-Gv%r5vZbwOSaJBN5bKcI!*@oJTe_`_^D7qNv}@>XwyU+zg89Z#7= z9xcWZHF-q4FStPSx)9O6NZm4$W(?^_h54@ozA@P`Z3)(s zQ;%z%*-?>LYGuhZ=PZ(YTw3(62FyU6;JYZ4cf68rXnAkShtax+duIDJony!IEG?li z2Z4f1K|Al~TGwo!pc%c(#`VWOha==r5iQ-5o^v6sJUO;-KaO(l-;&)OMlqyHF`_^3 z#gP)%mbRCP&f*W7rh^N+KxOq~EZ_GjfD$K&c36l%w^zov$>DWw7PD2W#uR_Pop}Ev z-(^ovRM+@DIcWhMN_Dv4?539)7rsJ=PHqOqq5YWDqoK0y-Lc6Z$DP*h7wKv&G#B4x zDn&YYb-EL=xqFi~f@6`oE1H5ld%2A~F8s|~1Fjw=2Ua$07f(F(IWw*P!_o22v$>7H zqoam!-GBKZ_XYvr5(zQ_@qaZY2h&4XIzn1I-iD2zno9mC?wjRbw~U7%dnl2`_~<$T z;%-CJ!YUE=`@aB|B^MZ;UWc#5mrj@$?uvT2!gB)089&*3K+Q;!qvQzHH+4*ZpY(3R z;XTBDMI9?G@`?EqBp^XwoqIe<$zO=$gH^ff2XvhmhCyaay>K~g&n9bUB+0-!tkg~} zdp0u*GK9(?IOu0`w4B^0G?dq+%N=u%YoWZ{XbRvMoBDYI5vuKq-f;^;-cnd$ysCw! zVVJNKnIYC{+m2_{N+a@dCk%1|pORkvnC7xEx)_$MI_goV4prW>UvJ*Q_o>3J%g$N^ zH%tu#%_Rr-94(|2bteppC%VD6zbT1Z-K}Sf^jgnCuACM63$@d@nWV40uWG0{s1g}$ zgSW=#D*-&%P+4;b|se|bw4V}x|;Z|&)e(=C9$j|NYR_OOmv1nqQvbcQ5a zmgXUo?ahS%>z7T8TZotMb_Y?~;a(dM8)xqOO@$#v$+3}Glt8K;56NUNqMXP-M<6uy z@Qb9S4!0$3X#xJ>ToMVVyLJ`l_Mx0QZpvev4}Nfu;1!+1gpN}i$>(g!UP&`^8ko9t zgZWQ!5kV%SomJmj$mp@*65iX)t+ST|JS(H8_A}+hce`GUIX3F@h`unJ)*XezqLNY^k~kL*=RnU}IL#@c{bJBw<3CV<&&6 zIl>QybF6|EW%Z3uiNcTGv`a{JD%&Vtcu+U^w_L9E!VituRD+6pB8(6h=W3)hd-dH= zl0W9i%1*HnK5y+uu9e8xqz7 zwM@6!Yd>2FA0Hqq+&Q$9?qz8__jT>>^gykwI`^2RT@@ z=M+1-N0cR4n~!VUZvs{B3A#JHLI^Lx#oG}pi7d~K)`H)m9%C4 zdfsc-!(-^&u5d^XhuOoLVb-v!hOEc36?F`?`{{d6pN#sYmv==s=(qH)?AFpR-?N0< zi+=g+T2n`D8;v|7l^T^4;h?{uvaHI>m^>vt?X>J!~K;7eXV>0Dge)OtA6{FlTx`K-B=(L?bn zgZEjCVBIeujxuc%$hmg$DB&D5hy$p|autn)t>NN{CUjvNnkRksl8UQl-8bbv%&X?- zeSWxWJV~u4w8D~H4MFxEN=s*x&f=9wgd$Y)sE_P&xlR6RxQ8wT-w>#sFOsqj3R|y! zYA4>#R^HJ3bFHj3#L;B1I+{hV9fC**TD;W-3qPiF4%_QTFmt}P>oYdWCcDY9R~AE} zagWr31wC#PE<48@;Z;ld+%;Hi`Gr75qXqCfFoJsn^YJga_eLJ*wf=Ur`S829(J}Y< z4m1&~V5U|pv$AZ{%>a_^RC%1+i%a6q02B!bI7hcvHIp9IeLYZ(3V)$b z$CTd3qj9z}BG9p{F3XYRiq;Y9^ZkJ&AsNkch2`4>KJ>{s!j)s4sO-CS0~4~`W^)E`I>VqAZH7uPw^OA zqzcI-{DLo~iOiKrubsFAmbsYo5B89y^V0oO?w8XWT?d(8!9S?*%xX_bJbW#yX+w0( zU7->Gr68Jx_RmqTPqR-MR`14(o$@{tZgHeA#R^fZWa8HcT#9JIz7fdWXo|}kE2L|l zVJEghRg-$>R<5k9(fMq;zVVmYyR(u;ge7KC*Lyfc!(KjLFc(0zB31mnq-=wq{(Bw8 zqsHrf%I5t;e>z@n(|E$(*fs5~j*d@?_FRraUwHtwxCuxendTNTD6KR1*M;_(+NJve zs%kfn9I^vDZ)Th)0FwHsas)rG@8vQDp*B24u~rePsoPD5;IHoWrc z1wiD)xlB;1VCn7Wl`ktyUSjro8?Cp3RYM*QZ+6Sn&TD@3A{d~+R-?s-e*?CPTS_&v zh@m7<;t$zptrI=IUKcp!6sgTmdc_!4Y7^34YO}VWU{X%YPwbWnp#)pp29_fayk4Gn zH@Pg_4I8T44hSA|f0i_r32X-_DWENXLi!B-5eEdzIj3sF@Az|60VPR+AQV~BWP>YBvI3|V z)7>m?=Ip!~^jg9INqM8gVd0C+^+gi6pux44q&d~#*A}!~VeoYxkv@u(_Qn2L1_SH8 z+%9@Kj^*d22XDfvp>sux8uKK-s!zjD0}PMW3)}HjEJ)irQ!U$+6OG(z7Fta!F54oy ztfAUTdeEPc=d-gNXf3c5Hn?^2x0yj;K41}iYF_CZcB;??!DVEAh@q>9QWtC+dd4cpUtq0_^WN#S z+rcC*${oSi+X=KmQK568v9cmMNP*di(4Vu8Y_TU7^Hg5nTJL4?5{32~$*Cr<^el|C z*gg#8v&Dng6&cpe0C9_sjHtz3BW z{qkK=8mlV%{p>gHdrEUmw8rsTB9pJm8kaL6rPJ58gSP^$L?^tGp@XT2!(+q8&Hi&( zBP$E)h>y1`8t>uE@uX%|mH3b5{{RLH!QtgjrFL+2DyWF&2gBWTGiq?1!yTIi2$F$8 z5$xm)z9E_%I|iD~T6wh!mMCuWzQ>AsspK@*c<{Nzl`Tx)$0pXgWWD@vAyj0vhG2*7 z$YGY)y$*D9b}=-z!-VBkTRHB_KJ6)1!v~9*SNBRyDBJa0>GK!&?aBzMO7FfzT=e#+ zy72EMoEvrtEQ@tpklIeNvhSX;0;lS)=hB{1X9t2OfVcU0_PQ#oemGmAZJCS|O~eSE z8skeKOR?1uDyRzkENdoxYwC&>EZu&LA%ILixF-!Nx*r8&CQC+MYkJ3N+)4|yjYLQb z#dr&MQm*m4ZUfFApI~LXy0SuVVmgl@DfTQR1V%B5MiTi}xEPUw;nDdO1= z`Q(h^IY{C>FtAxYg>2?f&YMk1#=GRgt(iL09)d>)JvR2?q-`#9$CmXUxvXWcfE~dO zhrJPV$@Xy~uL;Q8S@K!~A6S>dr2j1={e~~>V=jbK6R!D0ZRt-6=N(rmnA#pxCZPfp zRN#ZT+wGn$%vRO^#B^$m5Lq zAyy7j*|hHtE8fhnr8|21POGB)^Qe!$dc*-!_mlzNE%gW1d%H`ldu-@74RhjBXLC-b z=S#|HgTzLdOvF$vZ+<(JbB%d|7@Vi^%RGU^;T2D=y2@KVJE)}3O)xcGO>x;1Ji)r1 zceM}t8axI;fy4j+cL4UCR9Y*eDt{utGGYTZd!B8!VvLMsrsB;27TW|^Y@3k*@4O-T z@&(T#>9P0|sKwW^*4+)UpUr%Ui^Zs1W)z=c?Wszje*!YkMzyQ%8rIr?o3j%~7DSfWQ$}yQLxRRvLB<<|^ zwE+*dcwagY4aq19| zw&&2JlQy`WYs$}{3gjSDa}iM+AKS%vqj!93yjPN7ekgDsX?7-;iU^tale@nvUytTd zh>qly8qL4?)y6lP?J;&RMiS>F`#q6?^oW1<3#;fLi2ee5)6D|+$3lR5&+%fgpiXGa zFlb)h$$yF0saLmQIr$=`eW^!~%FmFg#*VA?=l+o~tH;ge++7Qk)?u;hmnexR#%u+5@30gtT<& z;l*KhD*9B3jromBOC@Ej1m&&BX3@;`&IY-y49Ecg9bHZ3@7CnuGGGwpgJp&P31-v(?tTA==|j_KyyYxrbxgdDkOH8&;`n+1~=3npUBCkr;04>IVd4 zZeRD@3!TAI)owBo;nJ=9J1KpM%j_3CzAXU#T%&jbP>KNrU0wny%7;8PBqB-%O5}GV zZtoF%AQSqsy5$zUX4bztkZShK1obxU7SwLS1T=|+SE(1F>caaw%5-BBdXOJbNZI+1 z*WiRGpnG56H3{AXhP}2O3kQ>K!uRqC0+h?S3W0NAj%SMQl9Zx|qv^ItO5x-*B`4k# z>{DmN&qR4~h4DRFfqfJJTAbqdcQ4tNn>q&@lR(!%g3ORmYO{*QaED7DwK;C`+PD`z z>et4DJ8Vm-b0S-W+ZRqwwbtv0h_kA_>t=VqDZJlWuT0X81vB#!v^uJk; zi};$tmyeb&mYTla>C&Mm?S#^A3M4KD2v`9i+TPgB4EaHMI*x&!I^0>BX z_?T>5UuA(Rkhf@rwB^}T{4AI9)?T|OMI>-bmK|NmC)L+DsSF7U6sx0YCzFn^W1;i~ zTx3Zz>PG@^td+UwP?aDTbukWf4kM*zG)v7qXI3p#$TNkE*(W_m zoVnPB;waQsK65OG{Ro1nRDx?`zZvQ`c(_xF;)^vQ<)OBS3O*OwZ;{P^`S*Slfq~L% zbgjd$&2>@Wo040tS66mh7Qa|(Mp-!8#u~NRlyNX+qI8!J*PANU$_c=;i>KQze7@&x zu+!ZHTlU;CVh;X`xiky$%9q(`Wk{Ue=HXs;7imz97hY$KN{#b^ZYSZl=ZjM@ha1%5 z4slkMPdo=wiU@Gg(f0??@mRd71nMHV(2Q^k*fv*J0kM?Dg%HU>`A?yu6@SC2#&<( z+X&L$Q~wec$j;LwP2vv(q&}#+-|1vx_ddZi!g}bXf+$|0h;zSe;oQsn%ZmsXCP7}d zT}OX1f_V=tUy6S04j<}5O@?-8B7$_hI9IrD0cFm?}g!XUs?4bT%Plb z(e^E`j-|w|o+uY*O|h7kvn<^7P2tJj!O@q)qJ5GJr*s`ZWZrK^7RO+`xE-vmvKX+5 zHriA<(E5R6vz!b+(o7_#gA9U`W)17;MAYkc(>j){|!&Km)_qmDOft z?FCT2*~Zn5Sh05ZBGPHvKMGB1E7F zz@PWktAc;MdzBh>l3L&L5#Lhtx+>;=me-&x_Y=R_(;1_r5HsR2-yiL#S>Y|BC6e(CA0cWd)j4qi3H#J$T;6w?KmISh|8O8DHK?kgqZ{7gUAZ0*_c-?prb7 zN+ygwF?r>>N|X&7_oj`hw9J9;xx!YE zKVvgII8k5_Da#MPgax~n?7j=P3JIJ(uR2->^8D_J*7AwWtxA0tX@a+I}9o%<2OXt!j0EEN);TMKg0A6q!8z7Z;%i}9_B z`MU3J5yT-&dIEG-H4pas!H7iLi#}JI@w|i=j>#Be}L1T{vBA+x!*`_-x z8kp)Vm-YLc9m$jOtrQVR1`p zdLR1c=VOF7r6%Fkn}zS=`J|VSTlb2&mH~ONxBrm%kbE`%pe7K!gRa|J>3$)2_qE9@ z3~PHTZ#axN#hUypI3nMv5%6dTXPLZ>mI!qYr{H_0rh>=9jFY$60f)5CI^d$Ki6!OBJf9w9=~x7sz!}$?Z;#3w%HU$T^}q&U zX#cc3zGfCgfQXg6sOQPH9CA#TKeAF_;5=+Y!9fmn@ru%QTxvy4Cc*zX1!|5{Cm}XZ zw)^v$o3F>I(hcrHYYoaa8>+-#343ZESBok!E8uXnF5nt;)s{6F>%04SNov@Um-?u) zoE$n&ysh?(L?R;Dh9H;2X+DjYAuKqwlFR+6bW(cwR(&F80qE25HvJy9@~ga!+)|2- zcx9Rklz;Pm%2S|?eFoknDzJC`PkEA2QWwLKx)&OcYCh6kY}BC`uHM)Aett!BpDNti z?H3kS-wN72J7)bj2UG+#Xo!C{pa&~4EEx1I3n%SJ9^wKI*Ddt%mkV@^8UR!umWqr8 zX{k6;=yeFR)tkW?L#^V~CG}(VZGfsfao98qDsw!a9BRF{y_l(XW*FJn4N)fMV7ck> z*6s%j9LqjLZQ}#={3RMv4vh@N)3WT}XJcQv>r&kz{Ci_rk`JCbR_Cjpwu%XluS*%_tks@po!<4XP2BN${P_yKujx)y z(>&shup;cK6Kxd&K>md*>MuWqe~}po59x>}#bOJ=!xqjZL@O=ei$v#tjNSm#gb^)# z;*p1FS-VMwb8KD5$qVcdV;vj22W8uDBNmlwdJ@0xal`w$sDR~q6YfaY?{y!0LXj}? zsPCNekEhp|bNTODHfmTR6KB=%J6(y;YZ7V?1v@p2i*sGSm6K~t&Cjyq~P|(p{SEIl-C*fjCQ55 zfZnTf>s#Ny1PCIocwI^j>D5VKrqLXHI9;zrqGM5osqjqa%X4d7O7&F5xYmsqz`^vi zego#jeX{ydX?d`Gd7}%T&g-hrubd=)_mGvj4~CQX)^t)#9hm${f@zmdzasf{JmaN6 zAT0u>;YNQ`v*gdz~3~^g1P??qF z`KJbWr8G=v_u&L%OyKG1dO@^tk9~fIB?l$R6H(EeMhBkf%u=7mcex#9Q5DecwO}$ zA(-a%Doyox0s__x^CBU82@3gb^d=DPCv0tBX6O?9OPPZYZ4#;(#T+5jNEpQwFd5z9 zwpFxhiY`a_7xBj+Fx6mWuQy%LT1LTVC6yOQ*+QAG*<o@~73KMg3s(u)3oVku>3dAZ)3zvhr8 zR!96@`~^T=@WI}NOZjlOfYMU$*>F`-bJE8>KBL~Yzd>v5Q%)U|857`~2;|RyY;@imYwgJw2v>eLgFM7cz6` z-fAvA`xt)RN-?;xtSka1iT+f%a?<8jZ@u;L8J9mCG-8{=YV+U6{O;Rdm~E6)Qp0V@Oem&+{`x%V1s^q z(=?P1eO1~Ux^EN;HGNvxZ9M36fL<}4yN zAV_HX#IloCse?N}b$N!xpN)IwA~v6ccST&j+K>s_QsW<{j#68x6Ez+Zyqn==PQ4m3 ztW{)SY>d|F4LiX(uagZ|F+^SYJB2fjAau>^JOg^pWZ^rj*Dq0MHYCn0*Mf!Lqh+h0 zl}U+TVNWhpJdz)O-GvpYYxAh|1mqx_n(H%DMYEUfR)_bnI@$Ps>Xr?A(=$(O>fA*7 z(%puTvQn21RWtjZ?^PQgc=rCEg_C&-dU#p>S2o)o8-`?b1pt-53SiG`o%bEhLP`qC zhbjSqkvNV_+G*pSD=+M-P7)v3PSD zy4B_DxPfy1#26{_e_0~d)J~Z=*d`-1etWgJTqrn$+bG1+3nMuV;2g(dPL_pZ$S_!_ zBO2eYPSCFm|2nGx)vtR5k7o9O&PZs>|BBCW*a8f&`lhY5VH6<%2Am^^gUhQEx^mFk zkuJx!*B0uHccz>xOx=_hM#ddE-+?VTPe`>3PjcAT?kRC}PY04@mWTwjrU1=lowXO8-|gRrt)*I% zcTv*sNOEqYlJG0M>2LkPB!em#K=Y>Dv%t1^eeVsrT699UvcCT%rtFfKH%rf2NdkUV ztxXV^x{Co#fDvb`}u_CuxM$ceN)$~&HT3sR}rB%h& zeo6eM4HYB$*rseS+zvgr`meZ-(vUU4;w7|EKqN&b;|R8Y7IKGT$`*f#eJDeS7N^zr z>97JyAYi^3I0yj2<1a9=4U76pPR-c_WZjmD%qq}uru+8VeOw?Q#=Zm!L5~8@bR(qK zxRSH^^5V4Ii;Y1J=X7|hVHH)}cQEnKSpbIn!68y>?_RO<{P zAdH3<`jaenqSoHSB6i)ww(nIC%p;>g`+9Qv%+1m|$F^JB@armaY93kUo|5gkvNxsa zntO{t&zkXRRS<6!CZ`VfE(1bu=2pY{PJ&D$VmFuv!jIgVi!5wO@s|4;8Jr?f|CbdC zJP-YC{7}?Fhr_+^hTGRR^IvmKqqMoKfIkX)?$|fjvey{^E-aU1UM1{chX{D$zRk!aJT4b9Yw|t7&YP2pH6klO1 zd49>5tDSZHXZb|&;n|$bAVCG6X~Fb(QQ_STjOy(Db;7%N&^D{q zZ(gN~b(+2(y~d8guWBC;ub8*oF2~QzHbXm6<4(;<=#`xI2F|`aYnBvIR?zeACW}6} zNL|W|y4(<}rdkOwdCjthk$m;fdy(M74S-DOmI`IEWnS+9Crs*zS4y5vR|M1aV8bk$vY4% zcuABr#W)+-uLyF^?Qhv*%KzERT0sM{9^LFT|H<&jJszg}x8OWAtT1u!m35cl0j zE&yEgtNscM^C~aKa|)SWvmCSV?B(V@W-xlV08nkNcBNJjYv?Dj$NTIYKsaOC%cHtQ z(};rZ(p7VJ6R7ynQ|Wl*dgFo5m@%BO_{f@y2@Uo+f_b#Fv}kwx*A^;)$89Qe{PbFW z$?mGH4D0}-pOjIOvyPw`@f_YEkf6)`2$U!3cLm#JoQQqMFOO$B#)f`>zNu=e1nqWV zp?}Bz%(U=jcNumirWbR5rH?#?vS=N>0gBvn>DeGJ-+saRw{*f3uV{YOK)*7nKJiWHr)#%et0kmkqZHu4S|G)IxYo+i;4uI@PbnNudEF^^YB*1E zTy$#Kuvu2$g0A(|rE!&7tn5BCe&SU6kiNgNW3DV8BAa()MM~CqUf+Jc0g2gA%XDiQ zGuBrrX4H!PbsSdfY$PbB^y}D~(XX>SVj5JfFh2M3;@f`Y%izw8Z@YFOuV)vdmtQ(R zhwcW2z~@*036>%!krEdJCLw59bD%4m-s$0({cD4Dg-!?X-!O znCmM}!Sk1upoH_UstN`a=)eK!LTSI>8@!4wCEj89^}%_TxpAXsBLB%4cpQOA)_MJ< z!js^UW$5`nfm#j#3Qx1l9(7+S3^y%LC&qlP#whi_3y^JOS-@r1C@mM2szr-FPE@A& zt#kMHhfP55`AY$qPBK_;MB>8|$+_HbWCFBSM;0kBSdwz7#DFH0HT+uZ4?{_=*Xe8~ z*YIh%jHxNGJkM?~EOWr0Tlw4oR!7~~P+nc6wvS3!%hKr8Q83lL?syGB}ELPh7z(8G91tKG(~OB+G|JQ$;mA{G;^BT#nK zo*i#$8P;hdE(^wO%KFF_JETg>sInK|^;ck-GxyI)*WSrk@q6al_%loO%Uh4nn^>Pa z-PaVKeQMqrzA2tw@DGV#t0JRvPECfGA>Hd6as|*|^5-#{rwX*JLd*HwO$hd2X0Fii zfsOiEK=i?Go45{K-pnnI_^rbgj(DjCQyWEdae+AryIE+|rH?0!xl9)!Suw{`IX=;MI- ztn1(Pc!8m|Xe3rDfQDIEO=zh9d4B+%R4AJJ@!$*jKCMP?2FQ5ll@zTY+Q1`?)qIVy zIXc$g|Bc6%b$#tuy=gw!55g~iQerze_$9IBnE#(9o4bdQqP%eoW2>W&9)(eN?HV7) z(f71AL;7ij%j2Q6wy9@~jHSQ_`if^#UXdYMX`l0xh#3$Fo ztYmrVfcptwJe;Lxq!=Sf+mL|WmA#`V%Q4t%D}Mm={+olqFmm(jt%UUhpq?8XlUZ^E z{CYS2G0oC6OS*w>|4J9=Aa)5|zjpIaA&pvQf1VYj!-s%t(&Y02>BT;`VJ&B+frl9R z)iMD6#MN}l;kuOOGSs&3>7tm8ePdj7o51Ixc$}n^W)A6}!V^0FO8Ytf?UBBQmG`w; zAR4-C(7I>%-3z)`y_7+r*qIZ-;sA@;AU(RZ{dFo3AHoGao&{OOOO6yg&SmYu8O7QO zG%S}{*lgAQ^}4ZIrIQlpVZB4d#{@#~TZe1~&YHn)+`sKA%yq~b1J#&Zm%UE+jqoK` z6+0~A9AhgFlMLg;NNrpR?YX%AGA7LrC*9ir0$=<^`t4U_5}x62S&~EqZ|JiHZkBGv zfB$x5pVNFys>JE{R%RRAjh2{jH2m)e-g|=*8*BbAC&H$a1*9R0cFb5bkXbn2s>G9nPIc(N^ zaP0x^QNeG;l`q5|6#WEASpN)8n3k-IG}{l#lXTnoJ48MIywznsx@&-HQ0y9)YX&tO z5~^<|)-xWwH#@3E9M-A+Ag|BFMzT~%3@C!YqXIJ>AIX@CMiO|@q4*qchj>(o(l}h5 zowNkykXjBqDwwaHiTEniLC;087reASq<9&0+;&!HBbvwNm)ax8;M38|(fJm7f#C@I zwjAH*be=6rP|i#7I#SR-JfB8RmX?)yP3e=1P-@KRqrV+dku+`~ov{LD&qU3iu-V2R zWmGv}(tu4m zD<6Goe|Y7v3M_C~jbtB2@6QG_%6iRk**?%_7Rp~J_6DEvvaFVbF6xJbD<~A`S%L4v zPvFF;rQ{AaA;$_{2k^Tz86>nH?<4OS(%?IXQ9 z=F;=N&rT64%m3)Qv~%-{FTL%$>1g1!O!wyoOP@PGqs~qYU4$gq33-!jwJPT z1-ua)Ar7XXk>?9wp zQMT{Ed}-a36MfCF%1mT9LeA9eA9I5u^zwdhSY7K3-zJT&ynguL(p`PLf|=WBAd3k7 z2-Z_@Rpge{8xQ!z@MG(=iAAOcls`Vmn>p&D06aLto(DtAPoMfmu{4DvMy}TUf47c! z?qVPUPVdwOq*pl8P+`#h~L24vi~NJVstuetB@TODhdpv$Gr*h%eDlKYRlA{0V5 zuyBNm)^c<74XC_JIcF|WHr=Nme&78?6vLd3Kax1s-5{`E(69BUr!!aep~RP*@gg6C z{c}yw1DxUB9F3cX?qQ_=A6H))73KQ9Ju`HQ;1Gg@0wRsHgoG#p(nAa>-FfI5K)M@g zLW@I{zl4QyS7vddGMH>tDAv z1)n?zA4AHapJBcedGnS=nF3A|Vi4Ox`8-Lv4N2N=+e0lvC+Vhc2Q8v!_HcBCb z1^m&wMXd@Wsyj&R>)r=@8Hqu2$Bhelq;j;_20znX{U1R+H;Il%MKcN7u$IQ9v#`;LZ@kRvGkFAT5+q5qe8Wl2c2-w z)0JKRa`^8B1KG5;CPme?eOpH<_L!@;+7ND7jUlhQP2*UOWmDS24m0CF;zNJGA*yhs zN!FB@&$`f}ru$RP-`b%9>ed1Rr6^hFJmtcEpg~hnEaBVP6V}_~QZo3OWya4$@k@ll zmFmu5eMI)NNA9_E;V_A;!B_!)V{fj+YsOT1O1Rh&7}Z;t;u41O!ycrOg=5M5BRx!y2&Xy%WZoq&)}E8TOl zabbK1aCXcC_5zZrxnNZBu`WYori;sm9s-qbXb&=C>GttN&OU_k%7R#_^VP7h0&5UN zKtb^LRfTJHZOCq4`Wo-Z_GMig^)Z=NEg4NLmo1eO5BfMl6Zn zih<7$53Y@zH^F;qEZ3_l?!p6|S` zb@i&Je@=XRyGi#;V(>k*IQ$WZ88dQeNF~Za)P(tp(JZXvJ@ARp0MEV1hAJ~Q?Xm8W zZQqLWx)+a^Z!c1Q&~bmFI{qwQgL6UfC>zxS{Qdkvr>=S~C-Zk5(Tu&neJI{EVIvkx zCN*3)J16d7Dubj&M9tL5Q5WZ8<`3KXAW@*Cw(0aAXkyQ6a4wwr3Maa>V9Ky*KnE#?ynwG!DOj*n9<3q2VKb#aM zMryGHqzmD}b2cULeJh+`U)s3xOg0QB;oy*f>x9U_Twgn!Y2@@g+%ij}y-z~K-OGEi<5Ven z+3iAzg}#H}>Om1^vG2)@fn?V&K-8doh<9L4yJq(>IoQYfw+;(*)4<-4ZZeoBP zWH=^gG$+LOJ3T#?4WTQLh7vEX&xz<#W1{#NKsa)GG%U2o>bnX2J@>$M$=6tj;70-* z#a9%raCAWrx`*xkgK}|W7ucc|x&5AewrHtA9Qq2gB>d-PinL>Q_n!k%y~Zr-il`Fx zpB-7bB2DZ)Dt9$_$2iQ5M_r#t{}8~q6OnH@CnJtjpP^NCN4UDf#iR!ADAt`MCr%1= z>UP)F3)AQqaiyeQ4eYIAI-r-f+iopxyHWQnqP^CyQA?pNtPXVZr_(1Gj#A?ZS^dQE zV|>`jdj{fXiPW$QZlu-vgN3Brw{mV5{0un5ON1`BEAig_CE12jf6M}{R^w#T8t*)N z9?~W;&iwD!i@EH4gQdar9IK$69Yn#Azu4#Uel}{_Qs4}8$K;oD zjr5P^PVhBBQzgf+5|2(jCMhWV%_R0&Cl0YGN;3=?4|sT|tOAY#DQ!07MbB4kfCvCq zv{?n58=!|Bw{AMF7-l*wKjzm8xL5Ta#;TB2}uBvl*t+J%Dr#(Bf=?{5}710n-Cf~(W7ORArZye7cmwmHO>Jpfe&x*) zx+c?PtXmhO+ib6I{WyCE9h>07ug*(4JpXXYV0Ud|(E zt#i_fqCbTO)d_}9CrJsald4Gx+=auGnrk<0i+Q(u!!8oGm`@V->hr<^c<>&M2p`EE zY_a(cW&gQD-w^O=Ww-wNA}jm37QkAQj7CRLL>WEa(%ef*>u)GY7RQa(lO8}qI=ur} zgXSqr)0CL$gPI~d67K;)r%lPgGoLFTP(I?>AvNPYi5*w{w)#S-g%3o++k*z_uzDNdt>CNA5gB)BLSNSfl2aJb6rg z%xKqLimR3>UQR*TLS%;NGi94ldI%mFm+3Io!zD)^q*F;~wZJKMgb{n0zqd_g**{gx ztp7C(AAB9exIQh>el+r2ulp0_GdQ-LPsyJi`ZTwo-K05AwH?Ja&TE>c10-V_5W;G_ zRA{&0zEvzs8Bq(U?-}-go#s-hYuih?02z%*P;PlfD5wL#EA@{IVud&JFs};?%7)}I zK3COTOX0~@&{C8QskbqOC`x@W5clKyb^hSr=h-{AjlvpjMV9ohRX%4=jBu%~xbnAi zAgQ*Jj4nimz|e1=>tnr}>MBw0pb3N1_ot@~7cVBMzv!3a8XHbWKv=dj6t4Ksm}>5+ z_osSd)srw)#Y+TUP;`Q?5b3eYD!{N2hq}DDk-S5=R%C#vO4T!@eQo~<+-Yy7pYntE zpR4*4W~w;DtRcEQ@;ico5W`axHP7JI6M231L-xZ6`T3Ng1?@;MIpTY;U zH%JL6h_eKS#mE>+N-RxJhI!KY1?eGf3e9Csi+BV(q&7_}PHdt^{P5~JJl3UlZvK6k z)T(W_+YkPA1Wf{e2G!3;8k8lRz)A18vdys%=P-sr8ZU^lay~Jhx?ezr9G+R$a zHZBJPb-{Bm{s4pGHGWDtIGYtvecr{I)Von?pqSK)oorXl{*Lr3`PHX zjATN>R`^K2i%WOvTvSu!(fq44Gd0 z;n79+N7997veLd$FNw%Xe=}hlkv@;iar^s3Lc4w5~( zKLAxmi^<4ihPN6=&zR1RPE};!!G>G7&q^vLJl?BcNM5G5`Yzy3KJ8Ic?|#o^YPBTn zTsN?z{Cc7F7BKpfrO$0>h{qSyIjYqce%AtE8+?akq3euGMdDdfkIQVUnK?crggmI( z@6jyO;7Xjg!YE46mNx1B_)m2WsHz&4^TLe{;aXs#;fJ2YD`roS(J)xKcOSDWSjQ`# z#R#^;vc3>4kh%y92C;kS95m{L@_NJb?eO=@5g)1~}4hJxs z>T7;~H?ryFWfS&nMmX51>+aZQA3H&P`caXhl)`~s#?L<_C4iVaLZD`LaLl^JYHSA6 zH@6E&uz>J~MQao^jec!jVB&;fekCz2dib$sr0jUKI_6`(GxcmWzzh9fA&tRT%5s8_ zjlxZ2Wg%_nmU@>nnAN1gCJGMhM=!aOLX|oDJ_j6p%$KxMXL0X(HE`Ew>!ruc!`|c0 zU8up<*QOTFQVBan&91_A$dG8%dg!Hy3EQF6USR;5n2n8Z*76K)nipAS_QJ1c@Orxk zld)cgr>dVA#(q zLOWfX1B7l5sTkq~6wtP?36VA~;`SQySIYd3^4d0B-Pg9}Z(9n;XuR*hj!+z>K&T(E zwTur;D=fac&VI-buh*6>Mo_!0#2B<9Ut)&5VOEW@z{rb3nbJ>DoZzi&13$BSF#E`&z z09ya^rg6N|A5-wT_-ep{Ug|f6D#l+IeWLXZL@2@%*aDGi=!>B3ut=m9LrCf4SL8;ZGqv?cvreo+fUA0aRr}rw7ecHbvOU%*kkZT!CWiU8`5YJ*;Bi zq#_zvo_6_s{X+$B67X^J;a3*(`E|*%*MDqW^22M;vZ>E4vV)A>X)xwvgEWQ;sA zm~qN9rHb2Zvt`1}j*Yx4TAlr*A?N^;{BX49xIBtf+7bYn{ttTqZpW+Ts8u0Q(j4X$ z1f30Ch>TVfnDf(}5D@O}|D4}jtI$p2%M;R%=*rya)@!*=pFBU|K}n?n*izhDECN?!lknvegG&G=(Ge?fTz0f9q+=wdVGhSBgR2kcaM49M zrmxTG2D(mzGuxK)wcRhW96KmpEooi7ZQJP-s3#y5wm|Z9g+$+z z7q``s8w2qMg^;^fL6zMR(Kxzffwvh<|3Q{vP%t7T0_qBKbWX2Q)TI7*?W(KM_SDD7 zlO>}Z#F3|LeqW06p&-Q~j(~r=Gni!wDVAJnq~fd2k6yJz$M;PFjdgA;t{g%eh(5Zt08ug`+l-J9%Y@1knwICJ*~(Qv+$NXM~6f_a5nVkYLec<1JC_-20D~4xqk%Ji!zj-a>PLU<8U<1_KsVA#4YXCWz4fSEOr| zvq7fdYJ*m1ebTpyww!=^%Kt9?s&s{XuJLri1FuSjH~C?T883YenrsBu4;coIGG@YG zwvG7WX3-i^CI@vB7Hc1o>$u@tTu%(YT_v8PRWHkkq*fz|!U!}IbP&UEiF`B6S!lZe zzZlXH?d54?Kwyb01+6V0zh8}3Ji7tBHgMv;;@X7YR`TEQ;-&N-u8T zk|P;m;?Y$*&Hc(n!M>7*IgCHgXL0bTKz;CE2fB3Mq6)bhv_l z(*PFBF>a^OgdvZvuPY9X_)ZA+X(miaD= zp^oN1zw8wHA?7#W=g?1{e*w`)VvK@3wA+~8`q>j~gfL|0S?6P14Jf}~VfAq!1S1L@ z&-TtN6)YU~-LgG6)J*D;;X6$SbvK;kLDDCKcI=%4yKFx^o&!ns##o{{*-Qr{@77#XOeizOQn@)vilxqpFx5kmR&_ zGpX(P#-)RRKmKD(`KfTXTx|R68uVA)w|E*sjHs<299*g|Pn$O*C_b<$)8+dSns1-M zPzjitT?;h8`|y;?|6F>xAqpjpQ3w$+4j}?E+1rs3IY#hkmkgVo5+g<>i zQk5g3e-d*5O=XG4fY!p72R>H^tJks)&h=vv{0md_Kz=ksNqnAV?i0)-QNwtojvzK7 zS4?uehVQOZkFVpWVoVQ)nv*k417fjDJdP&CnNJ#NM3$D~u^R5=e?!#1Lq{Rv%423) zgrLu6sZ>irP}Q5-<^JTK7+p^y$IYutP|pTI3_?EoVRE4t?(y4oY%Qu+UIT(g&)H7K zQ!^1mev-q}pLHz%G@!Rc4zPXSRI~YtmTxCdNteV^V!SNO#Z856AQcl^HKvIC{fC%0 zpQBLz^xj4wJCS8=a|JbXB;k_9cLbO?XY5<%Aknx1SKP5@dli%P?LqSLotqja^eMFA zmdc}Ncy4$%Ta9RYpe7mT^#TT0!N2b+@eUJtLVQpPKBfytbxLVeJhkGrElcyqSg>gm zT1Fu76ax#n>)J_}zW^48sUkis<+mEgn0L_IPdX~t@(R76f)GR}cv*7^;QzZL;CQo! zILl*iJDLo&bI55kt5%)WYS@dpdZUe;$mv zi5Rgn%M}yOgYUx~rHY*`k)==z*?n#yG7>kfPjEfSH9 zL4Ts~cm#ly#e+b<-oDA{(aF$13f)3FAu4osh|Z7K#!*Ygq>$R`XhEj^ub(>k#AfGz zrIQ$W0@n|dkSx6TGxmQ!Kd#liInW@p+|J93&txr%q!E>8)YieB9tIW%na*U+#1{Uv z>{WGd)yw^&NaO{w=eW(;^Wng>sA~geLs){Xr4;^f>J(ZNAV6G7%oA`~%Xj?rMIBF! zi=UE_(3-8KWM4-<`!kT)Hp>?2>t3#K3)4920iv!F!r^i{L{3X2&a!D(x2F|q%jpu- zN72z?NE+1se_=%Vla#I`Duq<&NhC$Grf_ivu0Aqny7nRP2ekRbuO*$v( zx|`SU;V#XjbbcGAp)tndTiVoq5(`dSMKE`;5szPY8H^>;=W)Jl0bYHwsX_MhmNsM8 zK|2)6cH5E>m{~vlrH`3V)vHl*_rx`D*b*BqF8|up@_)-J$3doUML>K_n@8c>Pv(Nq zyRs@y=s_(A4FsJpOpqbl8s;ehXwm-ZamhAJ|2fl;#&N(~$6iBfh;}+7izwF! z@S`X7)Z+{qdABzzdd-z>}?;4q7>WA1fRA}_|2)y`dE~Gk$;e%#tS>E|;P|(F-OLhd_hUpwlA|6cD0x@5aq92CZW~beQ=1lG zI#Y8~vjR-vO$j_Or|`)-PIzU+h)y?*cQ$ljq2}H%_WxoThaW=~<$ikO)%-kKKh`A; z3Hp%RD*%o^lgrWsV~rN^hNY!N{q^HD7vB`CiGyPsVEr+fF4JT;qQ12+S3^KQo1y$w ztcxV?pt63Rw3VKU0d+n=%*7Am1>`%@q{su$vq4-xgfZSd2VB0_-)XbR2)SARlwIQO zCR(iIk3;;>?f05bciHP#Vu^*>7)h4jn`S&I+spDN+^hjw85`7u#zG57xhi1cMAa^Z zPY5O3SjaJDtf%3xXVWzkj?j6Y1MLn&0nz?MBE8irD}BL#UZPc;IdH`p7cBoG2PvE& zR!g}5VLZm(0RPF19h#WE(*xPX-@7h&^vC4(bQ?t?p99ErH2}-&m3BWJ&6o9aU~Vg0 zz(X4e4PVCrhuuL~m>8l$&BA)b zbMgIer7!z87qEcmzy_6X&rdw%bMsp^fjfucduAhq`6uX&s-S~6)f5njptl?Cfg*sD z4Ym|$zy0~erVxi~Y7>tlav?@8uEQU`EXRJtqXn87+h)&e)l$%jbI_oS-~Im-8X28q z+vz&#hxA;Znu4Ne9+ib&BplF{I!p40-2=rXD}E>2#|igqhqd8LJB`EC6V3%t`?fcr z2EeCx_dD)zAjU1dE@v0n`M*>ej>#JdHlMC`XhC$2wS_VbtOdgyiz=q;LFef{Lip`w zJKJXs<((_MyABT`=xU_HS~NF?L|*=H?SV2xI5K|S#4p-EWvNsjKELXCeh-bU_udP) zCLs=P6VpsDXH7P*@j~5klyG$(pnA01GJTPr%8W2M;i)-?V#am6! zN*x6SQLQ=EKs*}^sMTgsS}V|k!s0U8*7*KF5J?=In<%LBR6F{yue!l*6=@i0oB;L} zk9U>9Sc-gxL0;G`I%FF>xhxI0<~fMp3$pMd?ds5%=!t#gy$8y!=A~hPL1-CHyI@=Y(@tU zrXCe5-@}sX_yb3v)W2f%clFbtEdXKAiXysX5e59;0MV=7g@9H&nbp(L-S|SkbJTzo z@DTM)O>J{=<9dci{|Sv()}PYVjh8{XavweRS)SUMc!%EgVG;vp*aY;FS#jM8Ci*_g z&%?JF-A4|3uQ2;R9r++j79hD(3}U?#mWA6(o^%m3b>>z z8z>)B1xqS402Lp!x*#W3Iq%e6bPA1f*Wqej^k2-X6<8!#KeG_Ytv)1L7h(>kHiWj; z|2!HnMtC(>JU=c_NH|*7MpQ4WbkQM-_XJnY!)wbHJvlIsfc=!Tx!u=)_OF{7#@@ij z!<;z3p|EE>-haWl2NZ(yC?!XY7cgUNXMT3^`s8+4YY#wsYTMv4k$YXAucy9yZ+MGL zSoBYUabeHxf&p2=FoZAi5nLSt>+_cq=*!R2)z|VkJilc94};z084{$LHd9ivSLlje z7pqZ=jtjU3Fw)_IpausLp?TFVOQpwrDGJ^9%kZT4Y8SmRs1=6C0thkQf{s0aK!Dhe zu;y@;J=?tWau$W6rD>5Q)m{s(>_ZB~#8U-m&GnZ<8BUce+!X(mIMB=#jVw6e2pLNW zLZ1e^E-pHKALx8iT^)R861+I@5HV6(Tp%G9rf1lIS^4SDl`lOth~q#GdCX!+b1@p! zfSLq~ACBrib91|aYC)&1az~*0CXQMe#Ou#S5fYe#`fuZE1o0S|ekzf71)$MVTcMIL zy6q+u5mA39rZ1vU*=nAFzoa^zdnEn z9?N0cfLG7yZ4R|Z;zoRxWs7Y{6{bV*c^bL0LUj>e>Ui_I@|;=2WKnIe1DZ$_hAt2{ zH=~dV8!z?L6K260ZD>D&iF&Y=mO^IFXk<%p5@*v3G)hh!PISC%1L$0XHNF{6wPt&9 z)F-8iP8=91iRq3Rlq~xFLFZ`!heOzi=G5WNC*KQBS$dQY-2vpvoN@}#qPr-Ubd;(Z_jrez?`~H0DS&K zfzY#F!9Ke7?oD73=1i-wtr<{);bK1*Joec1zsieexwV{4->{geVSoBP11M)lZzpA< zyjq9^VN=olqKoNaBcYgcZBD0>l}kX~Vv9?U`L46DjsL9Z;=RZzg}6z1OaHq2RBoQD zM0K^R`~U$So4f2~5p(7$t}CRBo|@XCtJv`h*xWUqHjDEvhrfS0p6LA68~(93oTOno zQy+QMOFgRz*ZQD=zJFs@_jh3vIE0@pPN?cYz2~_uB>RQweZKsVzTl5=?*1AA@$qCe zF4NbyFC*KJATJ^w$53YKqHC=;ryk;3-=JB{f~JxfzTH__I&FKll_|lP|0tgzsp^ae zL_TV^zdqe3-UshpiH2gEVd}MO=$A>zvE5PqbaCk!8+Dml12tg8yYI5-=OCUn`|E8z1-g3X{Kxm4uj-qCjE03XW?4$%``8WFo0fA7p z;W!fOy9UYumXUNNy{MX}ZLK=i+O=j(uolAQJFSS;Ckpdd(}GUF)FOoOpbZh@)xRet-LO?ek-*R}kxX3)Ygirh7icpJ`MP4uz5?1JOcDj6}g;CkZLWo)2j&98b; zcrorQ$za#qm*ImpB3cPdyFeSi64lCq(jX#u5slmZM2D6DUq{xnZ@9$P#u|nBZB?ix z%n~QVW3FnqaXGEv;iQWep-K5b$!qA$nBAYYACn-pxYyB-OxsS}cYxBmN=eYFXWFK5 zrvd1v>*&e6Pe1WD7tGC*zA#s!QV4j&OS|9bUX;kF=lG;Y`L>c&BR0b6Y*V#+4MhWq zZ1v?MrUjR@F?{@N#gT|b&$RIq3fO-ttc0-nAG6i3KvPs8=sw9%&5D)*wLURDW(tfk z49i!I)+IY_(6drVeigZXUn`?<90Tzi$TG_E*s;{pLZ&`mFZzL!=O&CgWG1Y5WpKL% zTYHhY*|D_|4}@HHSil+x8a>MOT0rXp^fU4H{3Gvp+ zyvrhFYp!b|0#e#?vAGLmPwb)u<;vrOfFOu=$x0|{d;k#d`*3vEKZ_`rfqm#lkGlqH zwLJhZYgqm^&!aSIok}!XLsytG?uNG{_*79NmYpaj{8BUO!ly7vjVsBWyXJNa5`al^iZ;ttNMT zg;)4lMoe*w2ik_nN**nF+p6NqNuwD1+;UyNMYC;`tiHw`lmeCq-7AW@EV{!t;I-m& zcvu~~$3zB7V=DoMshjc>BvCR+#8jq`iMDFvQ^9_3=PjN$9{p%Ul9N*QPI~$@7ja>5 zJ(_*g;_Q8qqOve>dBN%~sP*FTz0RFUWmxUV6#xP!;O?xdMwhC#cnr0AQe&`{R2~fx zR--@B0w^vZ%o?b7Foh``X4{JRWXNlPm?`DXBmsTXk%erIF zq}$`>%1&O?Ai%wlp6>X`#3&Bc={YQ`3bwOk!$gR2ms(JUBSbJ0mkW! zScOWi7LI7VI`GyZ-*`hCGYD%#P5KUcsutn8NAVHi`uutU{}t)t<=j#wDcx|T<+8o# z2)ys~FPl}}L;TSe(yBpst^uGK{kucgu|i1O{fcyH%9;DFc87`c9FQuo1`f&?>r|%} znFs@Zu11lQsT@@SwA@{HJTt#Czc1B%*M)4ev8c|_2^C}g6IR@ywa6k~SMv~<5(?)c zzHLxiwp`FT0*n})b9_qER zd}267P9i4MQ!}W!ip2nTh?k9VWAG&c;pQ`7t!1=HlodUD1ONd5;QTjWW}Dn8fqdi3 zMEeF>c!HHh$4NdE+3Ck@CvJR@iK{W5M_U-Wcq~q8*n0#-;uZoN?c=hEEw>VKi{7&L zn=VSzY^B`vA4S=DfglUr_n z?{WC+Zxz?>o&a?Litu2=%=nSYvh)IjdmSWz_LXrM)u)L)$!j~~9yW|#LV!(+Ffdxs z6mj@0pFrw_$if?rDkgP3pl#O|ldUbn-VAm_m%c-4%?#$uNww1^sk=bV)RVYFQ~<5D z5MvZ7D;&K-_RZR@HdDE~%xJUkaVD!TPw&V3l8QJ?!=Zyujxr^o(q$yEZ}=qj(?R*z;p($?0jL+z_%K^aq>X3ps7mMm|}v)P5sxUpVTL>Oe9A99YM-Gy@Y35qDN z;_!sAt)E z=or3bulyVCW11S|#EVqjl{th>;Iaw|MB0j)bxxf(FU6H(y^IpQ*!Z$|zT|($yFR^J zgAvcH+m{o9tQR-2ez5=)9Hc$A9|XuC81nK_7VAHGOWoeM09`9oa^!&H6_ihlKxC_^ z61UFzT2M7oW|kPIZ3UbRhv`@(7@@>e@P3VD&T!b#XHtRLdU|ang^3g`rBJ_GvTZCn z*wI?VsN~gcqQTsQA&yZ6RwhiVHW^ zn%XH<$a~W@GMt)7u^n~ z-bbmjdvCiZoE=^|<3BA($I?<3Gh!2$!!8_P>{zkLe*ME9Zeaz?!=8VVm!_PSxybP< zuIzlfa)iB1(}OTFp<}=H_<^hw)9qH-3F4DlDX{E1Fr39rRPfFr#=6At&ZX~Y>sc3vj1>Vj+QAi`F1S}veYh0D z7UYBW#rsa1dr>Okv(rOIx6nz)1?|UskM5i<#PukzmajEg_IQVy``S(pua}!GaeLTy z@wde7)zN)s4#$%6ZYexf+Nhi}s5Sdr+X0+@{AZk>rBl%HFO}6H6k6T)^I;JlC}S>C z@6A>ZdMbgdd~XCUiY)ySbOCsA*++|>~4Oa?kxaN5{HnRE;gTv zljqR`+1q9nJ|IxjZ=0(VojW6zb(%x-JAW#%FCb;Yi2eK;NrqlSI*s0h)R>ZVuIf6k zq5J=iwuLb5DcH{fR;ZzGLw&dU@qTAD=8bAi<8@np>dJfm?l$d^pnJ~X0cUiUseP4z zlJ$_{^{{L${~;sqZ-OiP&0Y6e3N_$X->C-1clKe&gNxrIebsk5PkH!TFH7z=<7xcIj)JN(NZ0AoTFUF6_a{U7uiPNwl$`e_UPrA#>8Ba4BkP0?8y@(BW+t}WT6pc)#WqxLY5$cFZ! zP_T-WXX?c4;wifL9c? z1-(KD?rKoB5_0y{Js9x&D$}V1_ay!`fyB+4A0}$GeWIbkRvrU9Hvi{M1RCVHy4m0N zJJa3kE1V9I=UH!gyhD!K6vOb3KiOxM&kYl-pLfpSj-1vuET5O?YvBYjArNg^iP*=0D!Q>&1KXz=(K z^>+GJ)zn;qdL!eqw|$}I26rz`IL6+2gso>z(}Ifgz{7m;bo+LCDLt4TkZkM z?+&cXoU`n`ZxKsy+q#4LG2^P66ExNrv%CkwCrD~{+Cg(|R|^nFP;3L4a z7%C89mJ796wxwi_Vi~DW`gtnMsX^ZMl7O03%$Ul5c}M^q$0iQCs-5A%yc=5kmAp4m z_2UElRCTSsaX_{5Y0jbL1B;>f)yA5$`<{DbzxIjBELO{3+2jt1Z@J&%C1@cW2-j6@ zcCQ3Waoe`0eSlI|poX8pBOx$Rk>;c!0;T=G>pOXIhkXwZ7SOT^@_ zi-oVl=9yiPP8pBa18koBo)9stfiCRpU_A42Y5{tVP9Zv~^w)bMnAdb8;!@E6}@@ON_keXf6v*)I$IQD<<#ScWBuZ7q+ z3%ezjH}fBiLkithq@#oPRK}2BYIb+iSsRFj+#@wKhYMDXn#a2dRM(mq&PctJ*&vlKwND5r?${(^&th(iAoDT_GM#_??{H}cd@1s%#>OEEDbCT z(y#LU>-vu)@J5a@NbfZTX}4cOBAI8v*4|Dw89J@90qe`TC?Qt>7_lZ+`I%a{%~Zpx z=|zVUUfHy3VSSn#XCIIRj0Ch%4d5nVng)*5uF{*1wQA)DbA?WF_f2;s1(L$p8}jLU zL8aZ-Y5f=I?Da9U8i(EdE#*b}DXO|2PmpEr4TXTW`BnrBz&S$=L;QB9ZtxCLf2+aNZFz8u#4G(Aw>%OM(5#ViBQKM`w(KmQ@E5y0i7VG}@)Vq1GW zp_OzBjud${+NzCnRJ3;nOd0=%(h79N;CQE<0&0FY@~59L>@MPP zqKlUBw%62L!gbOW&mgi|qnV%%_mq51coC!u*9ves(lf>mhs11k?67GMG^ z$)1xAleA}7{0XEoQn{LC)J?#aCHAH7M)kN7?&m*)6=He0v>Qfg_Mc%}={BS(tdFPN z^O$j?y_wY0jKmKF8(L*;;fQHb#R{c1BDl%fdeq-#KOajJ!4Mf8`d#@h1_4G*{AUJjP z5^RD0c@&5m#;5oSu}*lvMSpI;WM zfn=841-Tsbj{*yaRe}V6=FO$vDA(iD8)DS?9%1t}+8|>sxAzvk)yd)qT_!cC>62XI zUQJGHRiu;qYSYM_XwS7Bu{~q5J6c%4@&~Q)O&i78*IS89nT}^a&Tuu*tWvyZ z>Ul0Ywhs*7GV!^merT<(;{^MO%bCP5j;8R14dfF$+eg5e3Ltpu`bSSY!LkN#+I~bm zZxPze&uQ?#BkI}}l+kPJF*_@>m&4qhGKL8U>%1oM&ti7;S~hDlX^t-Dad@fQW2%D` zz-oUy#U}kdUQRSJD*JoB0Gs~61VzG7tS>5pm!UulAKiaQl&pv0?f(7Pt1iM}V#P`+ zGr>huI1n-%89q((d*c;Hhemq}y=4LPMlx}awjJ~};z`hn;PEAnT28P(vbL-d&@zrGEwS>N|Oq7(GTf_&f3K7O9bhCQp3?$M$rSoawlUY8Y5uj zD#JF?(^jyIv&;>cSgt_rV0%y?jLDjq>Tj`DEU@V5Jb!@Q#RG5*%f1Kt{Qg(3Y!KY8 zk!cqIYsu6Sqr<5Nm=Xze$Be5cEh`2|cMtd`UOI#%`# z__DutLb@x<2Wy5_rH?sJreDn=YsRFF9iOANwSWt4&|7}RI|54xo6_bJ_(3_4VnwE3 zEYlFG;&%2us1fjP*O9x5*Fx9N-HYs{MdP5aVcq&i;#dzM@rTbPC zzr6X>MI{$7MBA{U_j&XKaG5`HOvw3$rbEPVMr?(X--B-`=pDvUGf*HyM3r*nj>M79 z$^9>Ta}leKh|P)%a1q36G^Or)^x@#ORArN*=T-_NqJ(4W!<5-!!^9kHF5jKPE+#7E z0a&(}WII?Z1d@80aHhwV{E&4LPEA`n<{-&isonM=Rz?9f>_7wE^S($o;NvRgdr*Sa zsK}BQK_~nj)$oURu&>omIT40s_sP|4h^8_jsY%%l zGuWHht|*a#lly1ZbIHNxzfrWtJH+BxoWUv zF`6C!My27SgqJ^25#r0qa!UcKZ;x)1kMnbC<-^2n^pEU}N>UUqLTA~TXeVdoXhkPN zsU2Ttnd7Cs%T{}c&GS{%(Ct6{LTSsHAl{e*&UjJHbXZthk65;Ss5RP2XU%bng^#`| zvZ+jFaN`ESS;mA(iiZ}{mUE7&U3!lRD5qE^Rkm>>$N7>B9=s}6op4r`6$!Ao%EC2G z7%34-E*cN@VQB+rwVUgY@y4pu)e>tp0?{-jj%@2fD|LuUNYj0lh_{aqi%>Hh(!m$c zXk6y(eTPJV!jr;a1;fOTuWdZ^1Hw8tXdP_;WCP6`p=;#Ip!|u-Lhqt5!{StD4AMV9 z2~J@{evUhWMSoq+!qHh7Zxx3d)3)D=IFTHD3= zXM_k8`{PoZ`c^Xf3;e2uUQ}Czs_qjSTOcDfO@j&VfVVME1J)fWNhtVnPENnr@0A^; zD>!wF0EYvBN{O#HZpjRDX{n&p9~-aN<|zHwdJGcIB%!m9?9ksozZi>33`OT>HO7Oa zpvE3Kca{Djd;nIXiLc`8z)-h1Lzz;hZn=^{kUfqWW+LqAqQ_n{2061pv|)(LsoSP{e1;GKIO$7)x3<`fvWmP1A5mLRZZW#yCnRl)Csen zE)bdrSeE2mz8(sQk`)w_-Qn+qZOfpd{eb!f5VrXCA=Zh0X+WM;6)4WLCMUD7B>M%U zr1|t;QPoKO>>8YLgen30<*U3z%1Kjoh57InS8geSWKu1+obkUy;piy59NJ+Oujo>-RK&@Y-R5abcIA$3AULi z^}mbX4V%Lb7P{ETnXC_#72NLbrsD(~0z=xzS^v1gfWZuMu|{4d7=E_yUsGi~@D(R5 zs#>`goQ`92h+d@GcT?o*5$hWSI8@|Hc@>ET_e12(XBTt~?L`cbxs6Suxm?9p) z{HSo$k4kj=N3=v4@(4t0S8!ri%nv2JcfUqk$Su1*d%w4YZ;70$3emP0a<|Z;W$l1D zr7O(+xM6q3HrPWA(769dEMKJ+48%44ZMCl3kxP|o+v0YLLNY1$hqeD4XLfuVDr)k(ddK&+OJ=JClXGg#2@ zEyLA^Fm`56)g`X!mtt8zMT(u#`qTtq%pP}GeiD{xl+FTz$wq;PIKo6F0YRzCtTo1r zC|z|5F}`C_cWssyZ!oBp4K^BJCRw z`&kAEhBE-;fCEVz%8!9C5$goMDA3J#r$B5YqQlX8br>7`UK`@pJc}eJ_G(55>~I0f zi%8;LyJuNxl6J@shw&=%Ph9ei(|!f1nVVxcmh1EWS$+{-3mDsLcaCZmm=VAM9*Z`P z)Yy(uJsaG8Xg!QWJSfzz9d?v|=f7Wpn)6>GD0Nf@R$3SF)sm616%T$rW4E9XzMsIy}^R)e1T3Yu<(9d{ive1nATwJLTXNO#pSEvwoj_wG5B4N%cX* zlNYF{$3GKG^DQ!`fq3}ps;`^}$F^!P{Iku1UxEBh+2|`hRE~0|*>}A1K}PM}^uREn zqG0tY{0y_kZ1;K@19p&;ibTjc@B)5)VBdK+7uH?gL#^d~aRU?(-*zen*ip^lY&tNM z3gh!xxL-sUWE{nynfH^E5zX=;E6zzW&tCl0G1Df5tzkX3C4<;Kv@i4evK+MtW(N-hF^_?!>qKI7{ zfZ1TRn&SSbW~EQD@D+NhxJ{;%Q+_Ime9g9o^zFHiFE^3bbX96Em3ZM4j2oS;hUMtZ ztWHlFi;1<)L4lI z#N_kmebb8j4XagE5|F_X;f0*yQk8r`mi2h-W%UmzXmEQ}N4A=a*t+K|1sCahoEDk3 z+lI}gM1D>R|BX5W7drC(Z@rs~NsQnEla(TI!|`Ddw%wEce3yrb`XdRnFBBgpf7=VQ zzuSZ@hir=K!9lkg2c{7`^_v2Y`Wuhu<5|Q4`dY@h)=x8PfiZ7bdNxlREyyHAs!pL1f9cc)1HG(v8x{P2uKDPg6Zm zMNI9C7wXhZ$#kYa2!j@WLH|gaLQfSmseeU5un#8| zH5V4{{?4VJroZUnd6c@ieQUF(T2P4o@zOY>bq+Rw+P8GQp7xSdVa%YCoxrq_=!>w| z59zT<-&;8)2ygV*h^Dk|i&uUB@AFlBCerm}8IM!k^8jV!J*y)%JS^|yCA#UWom(nh zxCd_}5zK5I-&%n~njLUY2b`66m;)cmD?Bt4`shr<3`h5N=KLl|V_i2@@kfYzItfdcb)|6h*p ztL9s4IW}=xA-=u8oOsg<+2_J6=Tw_jJs-v196MNNe&?2<&j6xCmVbG*(EAqxTB?6Z zK7dcFKL)4K!`p#}{+zc0>xRc1Jrgl^%crSC8rA!qsV*9e_8+Ib6J6G5)TtIzI>&#C z=56rGxwQ1dySB9xRqIZapfJ`yIAKj!#f?o5PYoC@5Mewf>78JZ3mX_rb z@uC5IS;}`=*6enDJM#5Hev3V`&p;XlV0y-Rw)-LYLV5L&QP9VsI-RAvm5*8>1yGh> znmT|`v?iSU;9$&k~T9e8g&jm0%ORq9b`NAabsVe|E ze^lo7?*Cre|Hs~2hGn^KQKOWgh@dD4k|s)s0@96wh#)H6f`XKQfOLm+ zNQtxvyflb(iFBX&u-5vPtj*e=*LD7#v-h9PcE9jGao_VEbIdu$yw8mML>+iR#{N|D z)P13uF@`{uGD32?3`Hig%|ol%BC7TNsMN_;e4@6B7K zT!x}T#aK-J+GZt@vovM0aa^)}U%#@)ZFRR|LDd)Ula;0kY@Dsd9(UX#ez~Nt#<7RMg)WYv2dHPBEIV0#>$)P-Mu0Gn9)j+oo=poqvzBu&g6DM2m#=_@BTMDQvJgM0`dGlIxM4?yO64T;W`pl-8>L zmuI0Z{Utd}Q98pOCvL6D)Hw%5*y&*JRC10(`Lw< zYX33tip(f2nb<)JtQUruYA4%Y*t)B;l=X**NDz2gq+i6O^pxV^hQ4(xA%US zi$0!1Fd2q(;KPv7kB?FMKCQlMpG13Ns93x~$>{uRGmMMOFfgOxHIoTJtP^f4<4f<2 zeY?kwdt<%DMNLT`gJ5?pU{}G~ma9elBZrDPm23kv*#=0E*5VURAg< zk9b{gHEFw|q;EHVnmcxE>t8PCahzZV#vmCQJ61&iTwdf8^9E-@ex9;~Nc#?%9uej^Lp!D~gP!$4b>j+pT{8g>%L(Ky+NRL>H^ zgt6vt#Dqs8JE;WUUpPOtzZ@`mxY1IC+n7p*-M6dqur-@f;YsMNpPP;SnK8Lt zID+Yvb-ji72qSQ#YW!VWj$1%G=AZ9)-~VTKpAed5f<8TtvzY#9cg1lowT zVc;~(7sOWkZPZsMVgrJA8mO^54K%St8TfyY!D#YA6*n3RmKpHUK>RcR%K861%0Ce= zVK>11;fwiPcXDNT+^Z?hji|`xbUnCn;bqWW$K@1tCT*e2x$Ri+%K0TrfBT%CvO{X- zVbq4qv-`OxPkzXZe|A5Zj{mSL(q}8Lbw{?zItSANqikXNx?m1Cg(UEcMoi%PD}{Sg zc||ZB{BA6_hlyM+zpl%_n#?<lku5gBNKAObxUXN00OSKhxDa53Kv0OuqK~=C@!|a^JE84-@ z$|xrN{hBA0DI7w7*dpvh5URvXgkn!+)#xpx5ZPwp&en6b|`nmk`yHAGm`j&3_ z63%kt=!y@$N4P3@GJj&mr3O`8*9Dr{#|KB_tNjbBjl zy1Q*_VQvu8XUEVn@~sJB4P5nS`_LQ<6J+K3ZvAmyPwWN%HdhLz+*0Lz2- ztR)d!-MJ!m=&M~1QZ$kO2M_F%~3C_h!tBhCQ&@JNZ`z6w34|8CEPfDvNg zx6d&LBd4s}t<2qlm-XU@!!T=!v4xg}pLbdCiF)`#D@mm$c1s>hQO#ok&|3X+8YVD5 z#`jh*4K}jr)a73ctxmU)v8hbLlF!9J;7lUneb~7)| z|7qxrz_l^}1AhRw>-A_E|95pPUWN@Lh?8OdO{`ao;!kQdOCgo5MwbdsRUm`rfgq)HsmNP&~;}t zEW(Wfv3hKf6YppxzJY1&tL-%N&&wj&IiY9f&ePE(c!l%qPUv#AN}ujl7ISlb0!a7f zv}raKRx7ZHUQsX@aGY~K#o^i@nDa*3igT^edEq`2M9Mwa^ZgGg>)GP)Q%)TchT4oN z)aYTslSTeG)lNAnx;o8 zf>A%WIQ-s6N!Obkse4%O9o*F?@4ce@w5a^>U!IZ1BZ{Qt*D&Zcfd}xluSE~|3p9{f z&p>MuVx^C!LQLSV*HN}d0z+_!yZGhvIGk2LL|Omqqmps@jv!*eoZu519Gm5f0ul?y zqzO`e2FriG&N%gE#<74a`ub5e0dTh*HN{}%%&_uQHT_A$o>CJ*ckm*bgt%|qO?t(9 z0RC_>DB;W_4V8(+v&!e;T-)myNxzO4nLIYUudv0-o1`OGKYhuDHkp(dBQ{bw=iG?o z^3PaksP*A*1bc0*dQ-&VV{X`s=4!e8EWu~P$}yDN)_o*DJ^;nsWnu3>T*qFIXyjeL z`?L4xAy@H28)mG`A!^(&237u=&O3`y3E6fP`}P*my=3ckaf}Xsto{Hj+e2q`Z$)Pp zNO^onM$O(V+w7kwCBuG~&9O7Kg`_p{?-Wf9uZ#N5vL?fx_`|!A&}a^d4}T{4z87#c zI!;69XW$ZILj&B^`g444=({e*x_t56V~wi)S%__*pJC+LOIi+zJ;8E(yyCvlxe`dA{65;eSwpy@y!a9K;@16 znkI~8J-N0Sl-#29VP$=@BRd>xV{XfX^qdKGITuwM;whDl^JHyWh44tcP)AW3i`Vv{X6p3nTPBVP{!pY^jb8)$ zp+m-R(Pejjch(t1%cRj;pxUt2oxT6e_<2LwXueZtR zsFZ?(WIt>{r5^1>l}>(a9XZ~iRoWbO{hnuuW{?BAsL(D$$?(9l7xZ^ zvtw%Q9)y@2cvr80VS@`_j`$~N{n_`}BP^t!wcu#UE@MeD$t)Q-4Li7=Ksb4c#Bu9=yA0L!cSPh=@ ze1ZY0yh{mN1N$n9>cPK4zj9DuG?0pOYy>Sem%cwrg(!qbJ1~8+!lN`3`~c$cH0*QZ)aeU`YKvjtN@Q<Ye8PkZiONZhr1yp^wb8R0?(<8pGaTbx#}M>#h+ANx`eeM7r!Aqv zs*~X~K{N~!G*SJ}tdf!CDyFV7-9;JXz;ydW3k4Y-J0pa(MFwC#nWNbn!t1Bm`Qeq@ zN|w1FUIf1x15Be|s7c+*_r9vl_IFPuWiw>$B^-$S&`sm8e6g3=XwuPxalG!r^Xp< z%iO3Nl&3MoyYdH)OW$Js^g20Yc)vlP<3c1x zEWQTEk*{jP4M%9L?`k}8lBOJ5EMAD}B&TKdzAD!h+uejQYu1j!esSAq_0GY0lHB85 z`=v;v*bUWr)eVk&YU*7pNF`fv15T=2;?)n9S@zeT>&{yIK+1w?bUO<)FdRxz1Iv-J z$gwtRcWb==;XOWCjqIrzmyHA$`qz!>YadVJJFf5?!Wqh8r$DsD588MG4t@_gx$R~- z70{;qI8sAN*b!#?Si&n*!BlDE+`luta>*^UD-hnkA7ORoeATzKo-KMgkMP>zaVC%F z;-fkM;BHl)747=aeGD@XFH8BD_or=+G03hCdhVoXM=+sIKh3W0wA^t~Jl~(~jMu(Z zH*%a}TGXvaH_-?;a@iP{&Xb<$TD6{*8Lc8OA$@}+lsR-dNvn5d*&O;ZoR?F6mdLQR zKz4gj90uLc%0KQ#X5&t49$CAOuu;nES_D;ZO`fPCcFCC9fMi+RjS-^|A7ytW@h6h8 z<~ILuaEkC3SrE!aHpT%M1Ew$b0!sV^YElxHFUIVyN9}ey0mNaJt^B5JOy_w?L#1UD zY5hCoy?2DAu{w@z0+b#tYmeIanoxw?$mnCO!af4C#|N(*6#VmkexqOsh{d8lO7e5)iV@=W zs5ERlHH}q<4YAOFnDLPsSu?-2lp^e5qu`g2j3iS71(9&{=@ydK3h=$7sb|<3+}(6J zM6VYaW4;dM20L;#m!()5rl@(yKPHgEBo;X@zf$NwzUq8Pg~5%OStZONB>g<#UXu30 z3c_>DA=asGMPMnfP$&h}NSd7`?>t$LMiYfZ4?K)Z1D!$S8lCLeW}PYIPsiHbPNlIb zHQw5Iuz%0nMH90fdBSP_jKq5x3@G1oS_!zU77xBIx9c;gLIpKD*fV>I9-q8K5%COX zVDsvS4~j?;4Do>7pXZLeDr+*SPADQr-`HJ}m}9sUcr{V2?6 zN5pGp=PXGR1$eRjx-J$ga4NV3Um)GsJ! zty{|)5S!&*zS*g$`?`7#8L+aAHVV*o4c@cNIN-5esoy|$FqS;WwLGKjpvDsCC7 z)3!9nF-z8`kX$!j7PmqrB}`ViAw0Jkqjt@k)Z#@M-082B9`zfXN4VQa!Gj(L#P<1E zdf?joUF+1|oHev|!0f={+tpXD1~;%xGUA`CBmFDl-wDCL5Ag(=M3O74ZeR_g<`B2R zDDmU^Pp*t-K3t4uggGmB$?(10no)2Jcdq|0r?Bs9}>_T;ODHg+OoUV za>&-bkuZ%7MmY?-+UA1JZC}Dibl2qlS+Wh_2fC@i>bM_qxuEsdhE{lHQA`ZGY2`sB ztfG!7uS>_bfVBPMwBV~ggG@|gIRXlXF03~JV7q`-=oE~|X&kC323iqi!y!)Q8)iq5 zD(!y;*An9P-5*{8j3m`2jYuKbX0MRKwA(4Hc3KbjMB{qB52~U&UHT9kGD0B9acnfDs`k4qnh4i6!jO)(4!>O4>A>_<}%1j*biYKja{QCGKyrSmp@>*nPP4>4;jAO@9O#Y%xZ6YWOM47P0n@$XBB?Uj+O@renC#c9JqRrsIvq7SV#ElA- z?IApY%cbvR`6a%|avz-_-K5;(%?@~kJ`XWInS$BiXszSWd`Q_+JXW;4MBdsh8dMr< z$-UV&Mu9d@=@>$u6Q4@*|8Z3Tf=@UyjncOAY2I<+pjOIk*N0eKKQU%Jb`?b89q6t9(VwZxW zLh{kk#<-KEDnIX`6jyxT@5-59GBvjMr|-d{&_0E@Om9t*gp@kR;4ObZxdqn7U+1C6vy;Z)KjN) z&R2+jDc*DuEPo#I*C94gb4w*JKoABq{_gx_*3?682(qkyoZie_zTrN_^9|tgtgfW$ z2s!RFvUSrAtGL#x1xZ3dV7$R_vVpgo8(R;zw9lm$67*F)m@BjwxH}j>jv+PLy&A@ z$1|_H{Z5tSR)wyac_B$%hkWszV2*+Qi|!Z?&%SRd>e~jZ$S?|uw|H#GD4D&35!7Oi z{;G_%QT=SS(<;Gic5BTr`f+p5GpZMqLfGLB4?riQBOPu@OoiPWocWsiEi?I8;%WCp zLl~NC+M_v>*QM4k#WO3DAG>a}NKST5QeYgMQ!`yBA%^E&aJsZ6{Bzwneowf^l#hOQ z*Ak{2)xj_II)PN3kq=!#E%Y6sB9Kvh`w(>DG4TOe4x}zSxihN16OZu?5ur~vF_8v# zVG-y42ok&OokY@vRA7sdx{xbQ22+&M)yC&?e;xbC-MQzB&s_up;)4}phSjMlzFZMB z^9}L%D+a5U((ky=G=GY(T#r-+xz^t)P1772HYcilIW&#%oD93T8^TJ4=sgw)xqxCg zq>S&QXI8O15!uRJnQNkk1a1SuVMoIUe+GZB1Ri?iN!@any1M;zLH*$hDm0}eaFP2D z-9FFnOyAB5V(aaUyX=h5y%eLq!gZ>=_>@~MEyj!GrS^Lv^pidOBDZo3CNo^Nr{mv+ zN|Ldh(uYQ&y{(vs5iWaU({C>n8JWQpyOxF^${lOO#$X^17(N_Ow1Ud-lWXT7TI0rT z8=xJsxwHGQzjiR-+8&}gZBgM=i5kQ+I{|Zr#tmc7y5W6dE}D3UH6SBWKF&9P#mS8H zfk#u`wx`8mT4rlo=I!V%ymBw#xY+*#k-InJ(X%Hh*}uvI}`h1o;v6 zQ%R#1cC#KDIfF;Ht`-bE39P0utHA6BVsj_E#`vr(dWOfaJVuCzELzDfM&!YjB#oH} zFHj`@pPltL6ypi3V7S>fCj5xiHpY}yu;h(QsvE{$#jhhQGEPa?wP`PBg9n~k;U1rR z&JP*w_}2?!y7qY#eU|sGQ2~GOg~2Ly#NQ{om_M^n0Nj2>Ol&c^L8!ym5AGa&zz6I1 zgHvVUj0o+qxdF4PWAVwh*QJX)GZkra5##-SWSBE?l8hLSjJ-5XRWC-#`8s~MIc^W z^~DC81goKK2^LASobU4fDtItejE#P_?R@)M@{1;IW+6-&V-|@>4&UU17toI!W!XJ* zW2YPVFi_84(CZ6@$cA|2c4l_7a~LxrP<79AkM_;T8`GcbrF9axz%_+`aUKC!#C*-< zEYcSEpLi7d#MhFalYGTEogBWbn9pPGl-&DnSrhm5vIB0I5Q+;&;h546v?S=^Kk@r( zKm65dctS5t^AEiZ=QhkQo?-{hDa#2Vv&ue|Bn@j3!e(87W>-lDHWIJj{x>+W5{IuC za|}&D>Hg5i2(9O}PN38|+v;OKQ}A`1TqnQx0fj#T@h@^LtdTByUH=F5%8QkD!${65 z`hl`5vvdJ)w?|z=iD(UTO&B6tvcM5MWT%55*!A(h-TT`{`RD~Cb4xE>=`n91y+vP< zBVzIck^SdRo-_nA$D?f1?ZEyc^kw0C5E%nWQ`J9sEjt{naM@GX9~(THurO^bIydib z1^|NJWpsV?)AP)wGZ^+YB=V=mA0xAFZ3gUg*CXp>FV7@|o0rTx%}*2Z{-`i_zxf&u zYq#c-!NHhyR-7cK;53_cc^FdKp)~pO-He%H)ftiUH7qdi{$yr$N0Bs{)3k)7d`G!f z{WBMY>l4!Adv^#$@3VYI?nEY;QLvHSTLY{Xl8VP`fqC>ncQei4J(0f2hoNrPFxOtC zJA3SLv|kJDr_JK>&0?*mytTTm4<%dY=l}gBE_=w4r878`Ah5{rh!l69k;=knh_l_1 zR-K9$p9crn626E><7T3|lp84!WAc9_iaq#=7sQjj`|nC`5~OS*)ac&8z@xU*YR92O zJ%`kbR@X)XLW+gU7bE8xIZimXhYx%$1!V-&anzNAp<5wUJwxu~p0n_BcHcX-cJYGy z+B#VskQ~a*9g6+3jxeEMFow=j5Rzb{0&MVWDGKjW(3#AQJzVD{X?qguJF%WAShduA z+N>8uY|BRHVYrz5bpne+M#(6-B*w!S-cb-pi792=$_NE-DH8-7%0(=K=fG5Ft{FyG zelx;x%R3|V4)3PBnFOrAgEE`h+ixEusTnedv|g4Sjzz0zQNFDKu(VTt)hEJuObQD# z2}S*Pq1~lI^PMD+&KNzpx9IZN_IF z21>+VI7WO<=FCfp+jlRVyW&G$`${hi73Ms+JF*>`6F!3Wsv0)TXtCp?37C&1U+Est zOe^iQpPk>hs%61gJw_1guN2}tc{9nlH$UcntmrVDC=(|QzELu4N)u?jsrm_>^+vnIfqk~rA!@VSd+%}h$awkkO9+|{S#|W>WP5O(v zW#8OPZ4@z(YFk#FC-Cle&i>irJc~XDorU5f3_#@C`X@}ds@ub;wGj_+L(e4#Ho!jU^)-c{!57oFGVZu!h)nf77%NOq{7OoI8aF&DMe;BgOzUenSHtGJLK4qL%+!4e39?oH!k8L}9yfaN%m(HND z)J{*8&B>JNlwR6ch`Mt(O4P7)Ofd)5-4fSYV%U|Qn(>L^z)R}+Fr^}rCCsti&K}B& znlWV4YpuA{%cxq!Hm&&b*gUns^?Qj*tX%P?wKx&(bRPNKCH6XDqgu5qhZ#QWeaC~RAE8r? za`A3*{_6u${54~Tj*>nFZ6k+FnvzwyNRH^_mw1uwjpeHE^+7prNkYBRGZb0f%*efv zYO%hfWj`4nz znJ()2Y@YvBwGz%;{q{?g;PdNH61;f^w$rhP2~v+Jn$4Q-<6+WJ@)dD+vQX;l+#u~na6GZ@e628U) zKM<>srCs;@n)M9Y3~;^YgZMkMD@6uhlVuy4Pau2!@tJzT|Lf`lO9qA|=Pdxf9zA)6 zUXa^cf9R4OfzX>jGD5_^=8BG>{p*$f`>OeMJ^!~g@k3BTl<^cz%4(A}e8 zH_D7rZx_#_4pHB5#%H!~mJDa_u5_H*jHB?Wvp@NH8u!jYSmvLxgiGWK?etT-#jz&M z^`E1|KrIqMxl5SrhJg&(b*-CZT;_4xVeG_wR|OtuDxXj^<+pby=XWe{it6(uq(n8o zIgxMF9k|TsAog2dRu%U#19f`Ze+ZZ<0sy!<9F`tE`NqATaLV_(SiLKGJW}gOV>#_W zU&5$Xf|hDVYG19%vMFXzq#om5%F%Ogny$n?0PX!pR2U-&3Txv<&{pV|BaabiwD7G) zr0v};k(cLg&6Hof^Xjm?x>Me4iPg8)G#hWZ3jnezP4pF7Br4@4J4Jo;IGR8uMr9>) zSvlWG4}R?phpAd;&J5LWez#AP(m9dqh0fa>F~T1BF_5`gzj%+9O;xz=TRGeNfha{T zjax6v?(?fFF#vsrVU%Icn=~pv6qn6(CzIuDkJX3AK)v=p+X5_;^Y+oacT@G)1xP4F zkfiF5Y+zpkxR;WNC3iYx*Ac1k6`8)sZs08Rw}r8Fs^P=B8BECFbA!;;$R^QBEtNO!s4s zvp8)mU9*|%yJj^d!}IJ5?z`?LFBWz~>%}r&~SO1-r@{{F@* zl5nEs#xWTqDUbOrPt61J#C`eIUaoQ^=9m!A6qsf3-!YPtL7Mbtn{JEnoMak}Iq8P% zKjJeRMJ2e}zxT&Z@UTz23dO`5bR@GIbf%I|eNEDCu=S(j=`=Z$$U*C5tad<-^`G&L zA0vs=AyZWCouMB(mEyP>3}YeZ&St9~5LXkthI3TH*7r^9)0iuA+}Gw?mc+Y5Kvd?&tCFj+Ujx zS#(y_&attX+udF}jJ~8y`0)O-1Z)b;N4=X~9uFsS-O)6}OL6btBILWLMwqHqJvP~% z(7TApU}DTiKU=e;cQ*p>Zj$&Q-p7NT>h8qYQ*MnJU^5iT9PQp}6>2TMxvnjoAQj1| z2AiYFTH0c)vEC{!c&;_d0rI9{uzjhw&u@g3{Mr7T_-`JfLBy!DOsgwhHGj|+*uRhP zE1~&xNf((EGHF32dDMC)ab!10iu)Ow@<^7Qz~yB6MuQ{Io}HxY@l15Jj~)RV6C$KX zU7_6Bsnh0De~e$#hQ*bV30jw>i8f7irsgoPe@Cjkh=`!#{qz{s(6q+4K#8kakJy)3 z*-ZM-!C%n@k4N}L%;?z-<#JJyAB=n1L2JUgvTaVm{o^a9&j7EbdCav}lip4I`w50$ zj(0onChksoMzsR77!RFU?Jvt0N_P|GCnKV*raSX_Q=7-1H9bBazUnTV!(Mdd;d^ww z-$%n7R1=}C3TVdiMSrF$=46+N%n?2^B0Z$*!9rDSSoM&%Gm7I@$mLY!56xJX5R;73 zC~C;5G$tO#I&Bjqq5I0595%a`$IGGXXy($>LVqE5Tn{`N$JXFgP6d}{5g?RK{u@{g z@j|Dvzjtw9MKvB4@gmIIbc>%BC*u9#y8U(_!E)I-{?2R2RClA$juR)~s=uX3Y0=$% zb6hFkh#V&A@G5HwOGr|FY86c%N*!fb8I`U>-Ph=}m~^;Ot)otT-s)$%RhSi)I=m1b zjj!UBK(4J6#)_wPM<|KL>bAVqgsgfPd@Sp&CRRh3lu6lvmN3QLAZMY<>Zbb#clP({ zCdyJAf6PrPt*r#4+>KaEK5>!qgnHlpVjCiO$dAbVy}g?@&)&#U+*PoOEoL|Fc}mKp zq+rYcA||7JDmmpNgod}vROYA8vyXd_Dt2X)B268a@4tH*nK=mZjr^E-NqY9_mXyTU zdvADQU)|itpZv17N6)g)GczeWKx=q!$8wQy6q*tb7G_+hk(})p;qS0fH=TzUu*o;< z`^g_tESBlqF&ZdyDt6+wgdR(@TRE0LiXlU_n0@-hWV~-vx2}|f(0|z;DYUhyZHF>o z#Ao-on^VmZW#Nu-c@SJl0`b-NKx4<6ukwMNYs9M?|>NjI8!@Ec;2mgAWiv0 zkI{_vY)`kFhZK5qW!6EkLGO6@OW-p8E1n;F+FG05U4^ek!XTH6?u!xe$~5WcK6iY*V3%aY*<+Nf@(`_P@c?8hYN|C^<1Amk6$0*w`I;-A;VQ(y%etq$@1owKD|7@ zT6pU4Z=KjrrQgVA&UWYMa&9lRBT!-Xl8285cUH4hfTV{C)nPsMpHO)|4lL{mTmrJ= zZ|%lHGc~JlH=XWVwpmPIIPYw&Tc50mSaMX#u>V&5EC!Yfspg%Kt5o*OQzWS7h{Bdn zqQ3=^M6Rq&jk&i7>^hS1+GhIm%$KmT8KJMeqL=+_J&|Y7k!_nw_HM9?!d+_tfKwS! zA&_RTs%6oy}A0~c1}iK*u&of7`lnFDRLfSG)`ZG^WX{LmlXQr9y^29 zF0z@Y7WE_3qB7^{X7Z#tge|2dz@B!k&aXh zS zLMKE`uO`KuwAog2{w+}SKc4Nc3dR4}$^B>Sf8qK6nH&F))BUTm^FJnhKg#_d&$bW3 z{japKkCOdg$o>Cu$ZZyc#{S6ds;NAdSqe&&lk&V z%3)ekl+Libd>kO%EUk+R5$lD0-2OW zmBap|Ig-aqg1MAU#k~IFif2a5?qHeIW^2N|sB2o)hkZZ#Tw3Q7Y_El^g#Bm(pzWhw zsy3IP?)9;7gtGBx)I)%8d*S?83iVsKR_G7?{R112L{S*H?(JE!NU$uJKewgcX*= zX?4Ig)jl!yz$X!g|ECH>*=K6~$b*&{H^nGIP4GE2Dli<{laxQC&kBw;hH4Kg4?Y}J zAC$*)N0Pxu?3UT-C%JE#d4!jq{kDUCQx)6Uze3u^ma1CZNyxe4 zc|c#vuSDoxGmeGleb)}R&H)tu^!1Hxa#j>V2%$GVuRm*o*Nq<_uwx4u-cjM!Vur?g{RPr^q(v`dOlT81;(qgKUc=8#y3J$K z$Elp6Xvl7O>{01;%EM_VoPap>1U93)@`=fvME`qqGhD{q*%uq51O!y9yC22ed`27t z^x!b)v+@s@a{SiDI(b`2g6@;k=1QJ>{+SyFPt#S4dyZ`rR?l?jh}1o&66r{moz-yu z^x|w`Es9D;?~*0L0-H0iug(t&81)rg|AXG5{%<5Ty?2%!lKKl}LuXj^*dBqG=jb7& zljq(vzXl^zXQB;EIj|a~2GuFHq3U6@l4XrypVJjcs$J`s<(`Xu9q4RCoa6O#w81O; zQG+M6WHWZ5Q?W(U7E%k+^4?jw3sdP_zJySF>d>Vbb2pS_7}SzkCu>UxwpAxvBD=~H zs(_mQn<=$afp(TZ$?C|cKN|Re@k{ZYRFRq&;epyoEX^n-cNw^C^9Vznc-C|Rp-6YG z8zdBI)!-L%4FYXX4Em+KZE7D1R^8^@AeE-Wow$Lgd)}O~hwjQN#n&}PKfe|Mj#aqa zdE1CC{n(gb$=1(?{9&X76#;J52y0E+^rf^iPRn9-uAiw{PrJit6k$2}&hgct4lNK; zaX$sU{H0u@ZWf4GwizOHBtC~WiV>pX?e1GbU{UY=A11F|9Quv+@v2Z9xS?+W{Jb@D z*30u^p2*HJzW1ed-POJu)Wc-W+|!IaQC*v)S?jIm+2_50GkTh5*wurJPLXFmdUr!c z$Hl8ttZXz``J?xV^G4evP2n86PF{VJ-xUK8hY*qR=13+#nMCPI!q0U9G^P|0-|F33 z8&OmQ5ujsbS61ZMYIhqh)5<{!O+Sr>2)P*{8|l-;eS}ddH<8K=X@qy6>Myc7%4ffH zI9Aj@o7OD)I^U&VZ)&f9@0Y?NwN}o6i={Ka^^C$aGoQoC-QFO!B~#g;^La#HwwoP*PvBgn+4M?QtdUKY>7I}ASJ0H-oe&G4Hg3?G@xOYqm5u|vj^9UW zOl}4PwTI%E9+KoSW4iu0nxn6sz?i8fCQ1U+4r+Apj+kO&)a4mxzr_32kT<1w;-3cTm0EC96I6A<%W&t2|GyXls>=_GB&*z9tKSX%|v`3fnk^w#=BZRhBa}j{42}Mo7SCb!3EWi8*yJ- zAEYwKrxPII!}C1@gxtOIM{shhz@0;CPIumg)}^@vbI3i}3CeXg18$sVDYr=l;<}@p^8i zP`~|ss#shCI@SGH4eA!vAqOhyu}9x^JFSiW8!gUTjk-_sfbI*IYP0hzr-@Z7m+O+& zUmb`!4*Pi_izPsjBJ!KrR8Zg+LFBbbngaGG5xMvE=+gCfeW=33Rf{YqA+(?0ltIBk z${xF}(YVrKag6L5EkX*PVvu9(gT7Jg!1u?4+I6FxP&~m%CEc7XEGg|!_iEmpWixsU zr1)2-Z5#nh{Cm0KBKtg1+J)#Nfxyb1XBWF^#E-FYYEHQrau z>im5mXw~e_eq^2fy0>eNx#nJ4d#Zni+3-iwW=pK}W7p`66S<$Y_w!m+ptH2acwE2w zjhBj_4kzkti4y;B)h&{0bgD}WNOMoKhMzyr4mkHX)lE3T(juXHb=r&g;+>~Zp!NcF z;+4j*8x0>#iu?ssOQa$#8GmRhXHcX#^kcZHJ^f-@-STu- zOXu^>Z&N;l4I#|;c#d-O{8oXMT$IPeBMl+Qv2wo2Asqz3l_D*$oJ^X%O)wkv&r{7IiJFZ)C)&2!ztv*y-lbwdDyt|<%BS-zH7Lb;*!h4Qbi`tNtqQPPseVlBXu!FpAJTK%>-XSU+p`S9T&pLk92UnSdG$RlVCC+i z?#s9do`j!o^eXTyM*JiWzcnmB&BY82;7gP3b)7nh0k^UC*YIXAjX?o`jRbEaT_3_);RH#$~;9-3&l#qz5x9YR&ggzV&(;3V&rC$=V*i zznk@_`im3ad5bzYQ7_TQ&8Y^?O_PUmEDc8u1mxWu8qmsl9$-Zn=VbB6Uwr)X67!Xw z87B4sYQBxlc=Le z=Lqp1F~I3gYG(W~;iwHtL-D3GQNFq~0&t`dhZt zd`gXR8Sl9SokqAvg zTG6Z71+ubU2afr=dNTXS71HpdB=kBoucn<( z`UIAwBmcIvlT2isrxWqfycw;MEOVt7WyP4{f{i?JyYn|TWh?K~{Dh)yQP_jJx+1Ly z>Q!az&bd>S4qNe91&|XhjXqZ{m2>nG{A&6!f(I1 z${qzne5@~iM$Ux!!O6Gh#m`$g#<;YEwI;1zNISfTRAz2Z1%mCJxHVGSZUUzs{_>7 z^rPU)MKaP*^{OD}x6V!pwdhudBjbw6gogdb(xiTr`%63R<_Iq9%=l1qrIYG(ceu23 zf*FgzK5RCxmMxW^ zN@79-xY?(AKV+27Q-hYExHSEYQu4jJx-iLv3{CZLznE4|2&b*UW*{jP-}8VQmUFSs zIK#S|%hxu4Qd4;y;@O=l<9uA?BAZI3YW4!n>tXLjA*3^j8m_Qr7@B*krAS3`dqDD| z{OQxWbLy&|aSnpwN^KGx2t~(`PJeVFq*g0#PDMn!OU|hh;TdHc2AgN{dvyr<@ov+6 zG9*9cF&06CHbl~nm7b~3aw~cD; z^a+@laemd-_(rdyM6Q8W^gww#pID&hPKo_IAR%ALt6%u)*+3ZseG%mM^~eJjM(TRS zpAfR&C>F{IC?U9|Lv`CQ@_c{e_5N1O5bH+#FOzTGUxvm4h$BrqbuS9ezZ`4Y%xwT9#BV-`JqU?QA%&6%SX7ooLB!bMfF1+k~@Rh`jOI_Z$p$B!N zT?(Qr#ArK_`8sa)FO1x!^Y0yum!~(JByWnZQu;Mg_7E=jOpz&Uc1P6Jo#8IKQ<^_x z7{r>J(P5aft>4@wBa)G~Ql)gp%OdLgu~HMIGc5fJS;9vCXKn~Xo8K%fzAifBiBd5a zYNiwKh@_X)`x&Jr>I~`?DY-%65_4-z-Ff}drj9rsl}|Rc7$|&%Vg0oedY~dN$8U0r zjuDmSZ+r-!%j=kr-#jDAB5IP6<}6vs(%*HB#bqL|!8ly9G{1z7&SJ(`J!NpjN^-6> zi+H|n$1`8N)Uzair*`0Z0N1McO6zpUoK?qkQyF`qNJj6#N}ig!{H$)SpJ#eL8H>(s zK!&MTtpU3Z4k+AXX3gbc`lvOt`;dVEhJ5PV>yndRHzomM^r@ol3yBX>x8KzTt zlB;=sjnobf#t$@iWGq!?!$|g>&*D@octLw(H?w6h>kP;nZkW0-BubIYu!f6Rwq;q*IIqZ70+-=JFY5zwwD5qW;Jm6gNZo>HEKdz4F*|Gop z`KLdc;LjgFacHsr`6KP%|Jx7K%7cZj@ft`!$-xI~S7#d^BTmc+_uN|f?xp|*1_mwl zO1a>eHqW6zO~9_hAe=W`s}tCHxy*p^f;x+w)7vt73#?Ok9Kp{A;qWw}A5{}t+J=F# z!$;h0$at)c-UzrjL;G6nY$_%tKakt1Yd;&9t6=Ca*;rHf=}XYF1>Bx?Z%QptP#cxgHz%M!i_#^2=)Ld7~y?L=P=dz zd1wYLfp(2y0J+DIwXkhuP@WRwv|yM~N(#MJua;#owA!=MpJYFG8gC3eiA3ezDd=LY zLi~w;fa=u?jyv|dfUKMC@-iOfv%1cBH&qD5Q7uBJ?<2ZmNG{~{pdIEiWL40Vb(0gs zj32KgL=c;RF&{AGcX_?Wh@MuDAr5J!= zR-pf`1^|dwOfn<^F(7uzkLuWA&ztWkD}bDnG!~PRnp<=r`;jlzrW#x_(mOni7$jbn zOI6^6`7X2NNDB@8?lDAMuTW~A$COc7$mDuTi`DG76DY5(&H8|p2iO=S4G>%!PNyH> zr+4max+)LwC1=?TzJ8MO6njpoABDr9hUqPl!_1bl4&HkY_u8M8KbTxrFLUIa&29e( zz5(Pw)TEl#lIuQ&{>Upbz#e@C0v$S(ZxB$hGcu}|@lGpZP?~TTb{xq{zoXZg8fsh) z@AVksQRd`by@F5a9CkKoRwjpb9_TEjA=wK=ZoMnXPH8(SKT@~TL?QYZd$PK&l>r=p zo+?kMCV00dJ*4A_;sY2yOI9fAf5!T5s&T$bp?Q8OI}npgv%MU5qxkt|p!2lT3Ks*p z@rj2jO$KrWMW7uuPDoWe6Lumgaw%HK-AFX&UCuXIAgX5t9e_z>&k4Ne=2pPQqiEPX zNh}ySWMJ({7!Ar&6B^trf;KbgHk8rCYF-n)2Bb(WSI>X-BMNTEAY`89$#bj)GM~hL zb&l#e_f#S{jBL?v!FI|I8fsuJ=LKHr@^l*p;pth^yvUWAZdRma3w7HdD)||C5x&r- z>a0axQzvNJ^3|POacHm3%0m|@DKc{jY4-61b?j3>Im$ACx~xD7C`QI2J z4)IH~_Jbz?wH@|_J6UHikaZm$D%<Oh1b6hi1j#6wGnxIwgO%FyFz^~5w z;85u?+(CR*HGx7LhVbCfnS<#qxp{ZiAD+-~?m{naiE9 zYI~%Xhg12N+R9{tuI9>kUQ*Eu4M&dUjj5jbsdA+hMVbi%aY`nCY}%`;>#JbY;8p34 z*NZ2B*ajoQXpisEbkxHqwX_+g5$_PLS5MJo+c}ckqME7U=2U=#QH>g+ZEZ}3wm`Je zC+Mp0zPJXRnID2QsC1?uYHiEkSL88ma_sEMR8kVbRN^@GbspPW1h2g)RbHNSB3pop z*N~^td8BzpXai{9{Mlu2n!K;ql^)sedN+pygOa+4dl<&H_^KLYxW*HiEyujzpVN(J0+{c%(xmMlmeJ}iq|H9N@d3ogC5Q6-& zIIJ9$!ijLVs(X*`aNvB+N)LY7uHy$CXC6>RQq+^;XcLBY8y@-;vpQj92%3tYB69LF zS;G{D%ZB6;z+hgQzQ5Z~WZGZU(d_d7l=kJ}P`7XUQ_>>Rf*#r0QyHZ!QI=9#WUVlx zp~zSU2_w6bC|YTQit;3JVFXldluD|w1KYqnv zHC#qr@wAjx~D42@|Wzh5p#8?0s;q&b8;iFE#+XHZ-?Yi-xs* zS%%%F0o<;3er4+iVo-l)k%M9B&z$_3fZm6euAL|}Mw@8;Y~@+7luQqP1NA2FL$8>O zdZzXT?(1TAoousufyx}VR)S+Y9vCo+VViWbc7g{M4IoSYo@u=$rKaEQ#=oc!<2S4Pm_HJBQ8 zw;TD7!0r?9)SG!7SJ^ni*Z(v$X^L4L5f{|*FaXMoJ6Q4DyfBGaMmj9CvLg5KQK_~aBzeSTdXvq@cOD(wKpw21D0{y~si zo`l>X8lLf0eRtHO4$(_XpvMz777pIpueDl$n45^x=W?SE?k{r%%~Vg2~XQ zFRF#owX&>53GTP{K_z1fRLsFNu750|s)i4c$4oF+oGMtZ9Yr3q<87T4eG8={8E<{EGV(mVe)^WHi(OFR(c0o@OtIW zw%OA~-Otyv-EOjIH5?-G0Xw>}CmBO^ zPys$>Q*JxuT9(NThCGGqN$eAa8mBRxoCuVq3^>NEO=6@Q29WKyU~|*mB=rvQwv)e1 zgFRY%&?+?N0~T%POW*6o^GLRau1ojb&p*n!TR_fGsUphl;QQi8`82D-${%2*a~iz@51AMkX~#{hIG5H~<{FqltCoslpeKUwn>* z>O5zk)L7T@O{}Z=D1AGlCEP9^#mb0@SUf4H<*8XZOb+zGb}QzrGqAoxLN*ZYw|$4+ z;#jG`q|Uite=BxdE^4%6?bI+3xdKgPxyDmj@is+_EhaismsZxY4qtFj9dhyEf&gdO zKm?T;&ta><@Q==q8&@Bg`MoK|I5gmQ|3#AOZdFnW(JccXVBQ!xECI1jo}5tbZjc#7 zQGTreGJL9d?(6`}yP`l&iW zuJ4|2xp$y4U&ZRGWf5%AO0mu%EPu8e*>W-@q9?Y5L%R4apGqz04Ze zKFxqqj&m=T9I|9Mp5Zo_Y}r?wds`YURU97F!)#O+TJ{=x4cG1AKDCKvSxH+F%s;H< zg+F5dI#k$aZQ#c%H60EwGmhV9nq1dhv2>L1@hEwyluF;~gL5Q~f`8C6CV}9hd-ccpQjtwNhHo&a^RPE%DtMS$i;Rc^okQg{bhWa+(W7G+a@2%$NpxvVxJ#VsSaJ4#>P&8b2-Pmq?MFE%E zr1c^4OrmhE;SaASQ6<9mrw$qtbnkaD+|22ju?D*QqK)bVT$=O-))L$OiE2suSKqe% zeE{Yi7_k>NOM3YB7kzB$Wg#c(Vf`-XTn45gW92@YD>3#N4`8iGAes&SvL*2Hk^)c# zj{4pgp9~khdYz+}CBq-o-`I8bbo>{7WYjlpFZXd-67=L@Sb)cDTj(qZ+^o%~-mm@CdWQ8_CT6!gS?14Ve;S^JUojOd#d7Wep+hPU6#$_GUK>?2+-(z0D2&%8G5^s7(6VOGhpFFaOt zHb;#F8hmxNZq;5>tm9>zD;~tSbFR>?YUsvRqPoz}{zq13xY+FC*#Z63>bo+X`z*Ai z>ahULi&hbhxSWaU!8{sKd+|SI>SA~thJj>f+K)8qx=)+*!^2>Wiz0u`e1;mWnEBA> z3r~gLWZR{8EFKH(rKJK~0c*ylGecQg$(l(aOq7D}(8@+l@%%+^v$o}WD=Z<{%|kno zBZq%{YRB6)n*b_x@)<5B(I|KPBKcS&yp*mx8kKGez0K&&QMJZRpB27DNErpcDBhgf z4z^D)EPYWr%@@i5XtZO)5T!%(ZMwL<Ifx)gVBT1d-3o!astiWCbMn{Svm&z_$FOBCsH3Zp^lXh%Dn-N^s|)Z z(EN1AaX5?A>C|h!647MMa-Dv^{`80;q0Pd(s2Vv*>kzN!Zt)u+jE>Xyhx9w2t$Kdj zLQghPJ4^f$L$~$r?ItmHTFbU+cx~%&18*%S%{f{_y!mXV1Jin=e3c@h7YuX?JirgD zy1aAPoi$kMeHIU{>k4Me!^LvqKPwjJ8x^ zH+F;fA9Lm|*NHo4b-$UJH~RxhOt(n|@CAB+)y)}yJicfzikLU_dQKg*4O&Y{kYNp- z*yQ)&k&4f+yp9+xEAE}UfL^>;9%)^>0Y=yo2=cWn_O6aMc4ZJ=!dwyaaUR!i78a$h z=9OH&tTEFfdW!vnbN3+G`SL`1M@*z8&wbIQrN^*tG}ep;*-Iq_v-`p#D3Dw!dRakk zAWB21i`}&KF$eao79F+mO@Av_wFwIFa|Sg{tQR>%J(8{H##M3({A?D!(qLT%%u%^1 ztR9H$LM%lg{oZv38@z$qxfk0cuj98LxBP>aHV5i0d9`p+=~l1(Kvm|mZZrE{3p>jD z0+q3uA>}&qsoagKMUZ-$;)zsxMO&!WH4Xy3^IB7_Sua>5CeeBzGHiZwelC@u{`AHm zlD{YuSnXnm$hhE%bTU^VU`WL}SV)g}0;CswinurVjUE=qfZ1?3-M5TtN+K;;0+apn z)(jU1jT(2zV9&oNl7>Dl2Mi~k;NM;5H|7E0OlRwLwAZA|`?N}8lKz2d0N-$@sH&6KnA6m^z*~R z5KI_!I7f4n{u@Jrh*24i{B zog;&ftQ0;Dp4!ZgZkcaW>VsCc!$=#aBXr!O7E=?(tL%pTOn6U`RaissghGb}RQFJ(?|aw1AuiZ4pg@BE75 znFfa|Rz%Ky$qjA2QUvqfGEvS=ORv2#oIY#xfpe}@>qqN1Q8yaTg7F|38V#F%D1UCI zxmowU!bC%Hy=osJII}LIcsoUT8?Vfd-er3DAc})ka*+`w)9mde<4V%%EC9}Ox&p>U>Qz;7H?&4J1yEgFiX!G3J z*SJ0kPni+S+HRP|v~(-gs%d>ImNMqj$!){viNKu+Ge78Z(_uC~WiO!FBCMgB+6}T> zgc1xp9bK%AQrbM-S6;aM{|j$pF#j*W`M1{)CD-e~${Uy)WfeeDD1b5Z0>D;Bkx>;a zpq;Ptmw<0=>aiwi5eD-))NT}(8Y@J>(z(eB@%J3B0nIZFd7MMeO_|7cZ?8+s(*nDy z$Wd5*+#IX`zo^*1aAhY{*}E*9<{%GMf=$^1^bHGcbiW0lEnDJ9`-#+@zA(f42JGpi zAttRu^P|w#uTus`+`UL|H9P~L{BC~EVdLDk9g;)i73d4CE0l&$xt;Bsdus|71KiXJ z5`-a81`ctK9KxM>F+U2`NL*25f7stuT5`+*n~*+_l+6#Y*6K6Ab95Psv#_wSil||4 zBElAwc9i*f{egz+4d}Bf(c&daw=f2C4OE)&L0c2;=y7Fm=uRz^36Sb4VOV)R+MYI| zf>gAySRfUr$mPH%3`{~WF7LD-59qCn7q=vk&-ns(@CHfB15}-xwkCVN-zk+GAu4V6 z^EW6u-U*zepKy}#{@=iAHlc1Fa6iucdq19JbA`B~JkV-{tJqhE!3Z+XzfQ9T5Qx8!(j2PAb)ff_LT1|@!;H3Y zz%e7%Y%v&`Xh-5u2!-n|0w;12P>UY0kUstg+8D6jAZj5+?ncv!da=cm4COya4x!t&P1gMQef5cSpCF(NmLLIwD!K3; z*Z*@2j<{%wv9nt@ycb-q|M`A5&1#5p{zVbBl`{SaHMU^%QdDDqrXl?iC7~`dM<6el z&#lP}?vj~JSXG^B*pPmqn`*7Ga%SP{|HEu4?ghhp-Hr_(kPa$oxr<)}f`dQwmYb=b ztK}*=QpKoh$uRVPVSjQ3fd5@_jT|p$VsYgJ6fo;i-CO`;xTD~d9S(#``!5-^A*51Y zTw6juaP;*k03tev;FMnk34+hM$`&th6KN*8@coK2Bjj^xNOxp4o8l%pO764g{Z_mY zXp;B80iVV8$!4!XM-Hc9f8d`{ID&6S0Sv|mHki21EzoGc;w!>{&c2E47-2z7MM09X zOUe*%Fdh50;(r{SZ~aTdJ$cqobqm3EB|NQ5n-R&E_R926IXKl{jbe+WOh>XsUPY$S z$|n-BD;go~BLPq8;k39Wj#8h5a6h!>yI>?*6Y()0L59i<|BXat5+sXpz&hoE;UdG4 zC#(;>5-Hw5l@JbuN{|9gGEtJr$Sx*cTo0qt^0X`OcjmNvZWMG>Kylw?chxwuI`Jfh zLrEI%0*%+itarxID%)9Ee1!m{VWR8LdmR1)uYruz9-CxZ?_ux#$EdA=2qyX^jW0SH zVmvz(SuY641({XX12cUU0lWdl6(vB=A%X{kiB?^Buo8cP&NA|qNHrjm#k97f)vVk! z;ug}oyAM$9*#pmtSuk=9Chgz0)TU}`ond-)FrE;0fI7mLMv+^Jv9HZi3b175*--R ze}i*OacIcu(*-Au;q2Qm>`^4$4WsZM#y$)TN!%INChHq$m)QA1-=pNpAISuDdOC!b zbT~rl^`JnD8cQ6fGD;xgMxXxg#ewC!uIto_D*Ul8NOXuO3ePni@xdH(X;d^k5+I04 zJ}=t(W#ANWYv+=*DYpW_^|*b=N!Ug^-T*2Cx1g_!gqDT@EA;V+C)DLwb7c5&9%xUg z8+8wNJMO(_IC&(YvR|2!Q&lOT0#Hw;5 za*41(Feq-=oV610DlxJ)6?3nEG89oTuu!N|KF48;YQ`kgQmeqUVHFy9mwtm!wc<+Fsqx=jvsG{c~LLtd8h?{dk!$*Xb> z*xgUERAG+dlI{pnivJs?H${ENulEOHjd}W3_}nC-;vnHwbpE{+F7pKVqQYMycW$gn zVk`+eLW`rHSf9jD{sj@*{{9(P9T1aXmv@uf2t5$Q3z9|#zK8hhP%|jxM5I=+b~!>1 zVLTp#b*lFCyFi}0lk`YT8kcDCiokGrh`pVzc7J@o?3K4`(m_>s5#H>J5E5~^RUwzp zJ|)Mh*;~cn_EXdh@q7cmW6LDBf!fg^pvBQlJ$^K1M6j6_vRsNYTfKg+%r70+Dmd7j z>ID-a6O%A=A}D=6ke%e3UCa&Rc3%&VQ*3OAP9;Bqm(t_ULR>bz@b(@Xp8=g*;@iX& zNJ+8-Kyg@j@OJhiunGv*j(BVxqX}}jb~F%lS42(U%FwHSdkDT1 zN547lYgW*zRlnulbPiVS}M|%4*7ZjG7m&;<576UGiv? zEHk_?uI~V3LF`st*vu_;tr=J5TPRG#zDOrWA0!W6;;Ucg6~7C%?LMxt3rLiMZkpoS z-(khgD!_5i`U2bIy1mfAg?Pn9@kq$%>tz!k1-N2L1UGsP)H=g{lM!>tBD};GL6CZX z{FA%H|NCv8Ka&xj0LicWqxgG7WfH-mYp-cT-Zmxoidi3P6I{239Cc+^dBD}up0p#L z5v$}X;h4$-tLzkG8G}EJzi3I?OA2R%7RU8+_Q@vZQc|rA{Vyp*zQOtl1A4^Kw7vk*QC6Y;U4=A}!wMpj3%Sv{#Q4ZwbZ)~ix{59GWs&x1_L!_kH^pRvPT#iOvjuShRt z_WKQ(6N5rU(Rbm475CcJ5UcRiHcHYjXR%&y&uXIZH;_ASECUw&MfG>cnnUXJ7vS!8 z5hS$g0r*Xpx`;e-E&mP`aZpG`<&$GkJhA2EEtTG2bWul{ygRcNpi^4J2N=sU@ z78S@M|9iOJNG3_%U*Ps`b@kq1i_}7GF&|v@9nNYPG&P4PHsyk8M0~lV5UGo(PJnd- zJ{DKS5pV{=xshDX=>bRu9bW;Mxy(OA((ar6zgKgp<~#8J!%|7$uv2KIF?9yCntdQN zX_wED5&rG~34I?@cW^_w4KH;6&#gB&e2d-D=K2y$c#go(iz^!$TQ#|FewsQ0iyn#{ zv^`~VyW1KlNlOPETa1=Xf@ln~_GbVbQSw$)EW}*|xm=Z$51364jo6RDZ`=JmuoMLq zz1RBamg`+NTWv@0=OZNh-+`+w0jD9@zd;3wMgDo``XZIYl z+tBI6F7-X2vp|}QWZ34QPRG%c$IGC1e(#TBALx<)a}|KjtW2s3gq0*6D48@aRLcmw zy$JG4shDQ7jlpobDv_cl+ay)~6R3x#=_7lpzN5M+^nW zKMOtfi-SQaa2qgxN1&^^wm4&B6_I`3!jwDo9g3ryu$E_=Y|!sUCZ!r08vZEs8WCXX z8xAEj@2(Isc7h!=xBz)!XYFi&n$_3&qX62FcvYlYFh!;xp7mR>XfB2KQoR`t8iKb_ zqcA*;upRZ4AQ!6Gj;?d7#Q)yUNcPS|+#&CN(`ilb3_ajl`p?6(geg=TpdQKLFx{-9 zID!Dpp0IUC0OzcP{g$NbR%ZTCO5hrp^S>uED!w9#&I3iW%9rzI$K@OvLSXlIIDCVS z$?|W18&*P+o0vjL6uEiBIWWEO;j#8XP>An1OS9>+<3l!Ck9Jm%PFBoo!zkKLflD=& zIKS)FWAL|^3J1Wba1^%OkxRz!ll2c(eF0q6x)@ApUI<&WM~#jbP9a+{B(>#OLl;vT z)BU9?%Ihv$ga@-lNM3aBrZv_GY5S4!JLUMyeLy9N*I`9;G1k$n#GNorj|Yj#%T(e9 zlC~qZ5Sdbsgb*6KK&B2}Ki`BBJCdL1rf&WNY7%{DfAm2iSczmlQRAQ*n3LRfwxFZ! z#xn7GvY$9yR%1!T?ONJCk+}c>G9)M>?LT=(Ge)LTn&o8 zJmqQ{-0QW-9k@+MEQuS}t6C(iJr7d3$d~O!6tbr~&6)q5eW(tM` zQK`YSqTuQiwadVhhjM)Aq*)-ybb4TEDI;|jHsTiJszg3)5cwdOM@~? ztjO@PQ-*f^OK&80Q2Ux2@N}Zlbg9`l9dPd%Y6zO@jgJ5usFD3M@V@-#**R%0?@|Tg z$SLIuY^K-|2+I!D_xoMuFUjF5aP9lpNsb!NoAEV~r2-zfohkEU=F3&O5$AJ13A*?N z>l?V|;04|$-@QfBPQ#6NN#jei*wk^QFc_~Q zYP*=gTRz5bprji1Snki4{HTUJq~IRBM4R8jpv_Z3eH_uA-&c$E?|T^heNV+q(_<6e zytyCa`(d82DtzvvS6@A&q9mwX3Z7N%`G4wF-^ip0EsyMJ`DMR?#J`a|%{g5VIc_>) zW79uRBjf<8EbF&A$@D1k>QwZQBNhT5`~WpC7{@RC0I?002*CTj@Mj8iDF6QWO=jV! fp?^i2Y?=wFBAkqAReWfN{^R5^aUE`= median, 'above' is used by default!\n", + " warnings.warn(\"No 'threshold_types' given. If 'threshold_values' \"\n" + ] + } + ], "source": [ "series = 10*np.random.rand(10,3)\n", "series = series.astype(int)\n", "\n", "#Initialize dataset as EventSeries \n", - "ev = EV(series[:, :2], threshold_method = 'quantile', threshold_values = 0.5, taumax=1)" + "ev = EventSeries(series[:, :2], threshold_method = 'quantile', threshold_values = 0.5, taumax=1)" ] }, { "cell_type": "code", - "execution_count": 179, + "execution_count": 7, "id": "08e046a8", "metadata": {}, "outputs": [ @@ -293,7 +309,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "(0.42857142857142855, 0.42857142857142855)\n", + "(0.43301270189221935, 0.43301270189221935)\n", "(1.0, 1.0, 1.0, 1.0)\n" ] } @@ -306,7 +322,7 @@ }, { "cell_type": "code", - "execution_count": 180, + "execution_count": 8, "id": "f6caefe2", "metadata": {}, "outputs": [ @@ -316,13 +332,13 @@ "(1.0, 1.0)" ] }, - "execution_count": 180, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "#When one just wants to get the precursorevent coincidence rates; _eca_coincidence_rate method can be used\n", + "#When one just wants to get the precursor event coincidence rates; _eca_coincidence_rate method can be used\n", "ev._eca_coincidence_rate(series[:, 0], series[:, 1], window_type = 'advanced')" ] }, @@ -340,7 +356,7 @@ }, { "cell_type": "code", - "execution_count": 181, + "execution_count": 9, "id": "0f5cf4b9", "metadata": {}, "outputs": [ @@ -348,10 +364,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "Matrix of Es strenghts is [[0. 0.16666667]\n", - " [0.16666667 0. ]]\n", - "Matrix of ECA strengths is [[0. 0.75]\n", - " [0.75 0. ]]\n" + "Matrix of Es strenghts is [[0. 0. ]\n", + " [0.40824829 0. ]]\n", + "Matrix of ECA strengths is [[0. 0.625]\n", + " [0.625 0. ]]\n" ] } ], @@ -391,7 +407,7 @@ }, { "cell_type": "code", - "execution_count": 182, + "execution_count": 12, "id": "0bf34e66", "metadata": {}, "outputs": [ @@ -399,10 +415,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "[[0. 0.13]\n", - " [0.12 0. ]]\n", - "[[0. 0.388]\n", - " [0.388 0. ]]\n" + "[[0. 0. ]\n", + " [0.834 0. ]]\n", + "[[0. 0.239]\n", + " [0.239 0. ]]\n" ] } ], @@ -415,7 +431,7 @@ }, { "cell_type": "code", - "execution_count": 183, + "execution_count": 13, "id": "726c572a", "metadata": {}, "outputs": [ @@ -423,10 +439,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "[[0. 0.128]\n", - " [0.115 0. ]]\n", - "[[0. 0.364]\n", - " [0.364 0. ]]\n" + "[[0. 0. ]\n", + " [0.822 0. ]]\n", + "[[0. 0.247]\n", + " [0.247 0. ]]\n" ] } ], @@ -470,8 +486,6 @@ "source": [ "#import additonal packages to generate Climate Networks \n", "from pyunicorn.climate.eventseries_climatenetwork import EventSeriesClimateNetwork\n", - "from pyunicorn.climate.climate_network import ClimateNetwork \n", - "from pyunicorn.climate.climate_data import ClimateData\n", "from pyunicorn.core import Data #Encapsulates general spatio-temporal data" ] }, @@ -632,7 +646,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.13" + "version": "3.10.13" } }, "nbformat": 4, diff --git a/examples/tutorials/RecurrenceNetworks.ipynb b/examples/tutorials/RecurrenceNetworks.ipynb index acb8b7da..fc38938d 100644 --- a/examples/tutorials/RecurrenceNetworks.ipynb +++ b/examples/tutorials/RecurrenceNetworks.ipynb @@ -651,6 +651,8 @@ "id": "4bea44c2", "metadata": {}, "source": [ + "### 3.1 Recurrence properties\n", + "\n", "Calculate the recurrence plot for this three dimensional timeseries while using a fixed recurrence rate." ] }, @@ -945,7 +947,7 @@ "id": "2fea4b6b", "metadata": {}, "source": [ - "### 3.1 Bonus exercise: Transitivity dimension for sweeping recurrence rate\n", + "### 3.2 Bonus exercise: Transitivity dimension for sweeping recurrence rate\n", "\n", "We can also calculate the transitivity dimension for an array of different recurrence rates. (Note: this will be somewhat computationally expensive and might take some time to finish). We first create an array of recurrence rates to calculate the transitivity dimensions for, and then loop over it:" ] diff --git a/examples/tutorials/VisibilityGraphs.ipynb b/examples/tutorials/VisibilityGraphs.ipynb index 7ebd61b4..e865f35e 100644 --- a/examples/tutorials/VisibilityGraphs.ipynb +++ b/examples/tutorials/VisibilityGraphs.ipynb @@ -5,7 +5,7 @@ "id": "6154b988", "metadata": {}, "source": [ - "# Tutorial: Network-Based Time Series Analysis via Visibility Graphs" + "# Tutorial: Visibility Graphs" ] }, { diff --git a/setup.cfg b/setup.cfg index bc3701db..a1d9829c 100644 --- a/setup.cfg +++ b/setup.cfg @@ -65,6 +65,8 @@ dev = Cython >= 3.0 docs = sphinx >= 7.0 + nbsphinx >= 0.9.3 + nbsphinx-link >= 1.3.0 testing = tox >= 4.3 flake8 >= 6.0 From e19906ea7e65c8ebbff8158fc0f775c3abc31236 Mon Sep 17 00:00:00 2001 From: fkuehlein Date: Tue, 9 Jan 2024 10:02:54 +0100 Subject: [PATCH 03/15] MAINT: update example in `EventSeries` docstring and tutorial - because original one had lead to trivial results and divide-by-zero warnings. - also corrected more typos in `EventSeriesAnalysis.ipynb` - related: #185 --- examples/tutorials/EventSeriesAnalysis.ipynb | 125 ++++++++----------- src/pyunicorn/eventseries/event_series.py | 6 +- 2 files changed, 58 insertions(+), 73 deletions(-) diff --git a/examples/tutorials/EventSeriesAnalysis.ipynb b/examples/tutorials/EventSeriesAnalysis.ipynb index 42275ed6..e8bffc12 100644 --- a/examples/tutorials/EventSeriesAnalysis.ipynb +++ b/examples/tutorials/EventSeriesAnalysis.ipynb @@ -51,29 +51,29 @@ "id": "a0721685", "metadata": {}, "source": [ - "As mentioned before, the paramter free method ES offers a fast and reliable method to measure synchronizations between time series.\n", + "As mentioned before, the parameter free method ES offers a fast and reliable method to measure synchronizations between time series.\n", "The fundamental idea of the method is illustrated by the picture below (from [Odenweller et al., 2020](https://journals.aps.org/pre/abstract/10.1103/PhysRevE.101.052213)):\n", "\n", "![Event Synchronisation](images/EventSynchronisation.png)\n", "\n", - "Two events $l$ and $m$, from timeseries $i$ and $j$ are considered synchronous if they occur within a certain time interal $\\tau$ retrieved from the data properties. The time interval $\\tau$ is defined as:\n", + "Two events $l$ and $m$, from timeseries $i$ and $j$ are considered synchronous if they occur within a certain time interal $\\tau$ retrieved from the data properties. The time interval $\\tau$ is defined as:\n", "\n", "$$\\tau_{lm}^{ij}=\\frac{1}{2}min\\left[(t_{l+1}^{i}-t_{l}^{i}), \\; (t_{l}^{i}-t_{l-1}^{i}), \\; (t_{m+1}^{j}-t_{m}^{j}), \\; (t_{m}^{j}-t_{m-1}^{j})\\right]$$\n", "\n", "From here the occurences of synchronised events in timeseries $i$ when given an event in $j$ gives:\n", "\n", - "$$c(i|j|)=\\sum_{l=2}^{s_i-1}\\sum_{m=2}^{s_j-1}J_{lm}^{im}$$\n", + "$$c(i|j)=\\sum_{l=2}^{s_i-1}\\sum_{m=2}^{s_j-1}J_{lm}^{im}$$\n", "\n", "whereby $J_{lm}^{im}$ counts the events that match the synchronization condition. For more detail on this, see [Odenweller et al., 2020](https://journals.aps.org/pre/abstract/10.1103/PhysRevE.101.052213).\n", "\n", "Finally, we can define the strength of event synchronisation between the timeseries $i$ and $j$ by:\n", "\n", - "$$Q_{ij}^{ES}=\\frac{c(i|j|)+c(j|i)}{\\sqrt{(s_i-2)(s_j-2)}}$$\n", + "$$Q_{ij}^{ES}=\\frac{c(i|j)+c(j|i)}{\\sqrt{(s_i-2)(s_j-2)}}$$\n", "\n", - "In the usual case for which the timeseries are not fully synchronized, $0 <= Q_{ij}^{ES} <= 1$. For total or abscent synchronisation $Q_{ij}^{ES} = 1$ or $Q_{ij}^{ES} = 0$, respectively. \n", + "In the usual case for which the timeseries are not fully synchronised, $0 <= Q_{ij}^{ES} <= 1$. For total or absent synchronisation $Q_{ij}^{ES} = 1$ or $Q_{ij}^{ES} = 0$, respectively. \n", "\n", - "To generate a network from a set of timeseries, we can consider the the $Q_{ij}^{ES}$ values, as the coefficients of a square symmetric matrix $Q^{ES}$, from which an unidrected network from multivariate data can be constructed. \n", - "It is to be noted that fully synchronized time series will adapt a value of $Q_{ii}^{ES} = Q_{jj}^{ES} = 1$. \n", + "To generate a network from a set of timeseries, we can consider the the $Q_{ij}^{ES}$ values, as the coefficients of a square symmetric matrix $Q^{ES}$, from which an unidirected network from multivariate data can be constructed. \n", + "It is to be noted that fully synchronised time series will adapt a value of $Q_{ii}^{ES} = Q_{jj}^{ES} = 1$. \n", "\n", "The advatage of ES is that no parameters, specially a delay specification of the two timeseries, has to selected a priori as the algorithm classifies two events as snychronized automatically. " ] @@ -101,11 +101,11 @@ "\n", "$$r_p(i|j;\\Delta T,\\tau) = \\frac{1}{s_i-s_{i}^{'}}\\sum_{l=1+s_{i}^{'}}^{s_i} \\Theta \\left[\\sum_{m=1}^{s_j} 1_{[0,\\Delta T]}\\left[(t_{l}^{i}-\\tau)-t_m^j\\right]\\right]$$\n", "\n", - "The trigger event cincidence rate on the other hand is defined as:\n", + "The trigger event coincidence rate on the other hand is defined as:\n", "\n", "$$r_p(i|j;\\Delta T,\\tau)=\\frac{1}{s_i-s_{i}^{''}}\\sum_{m=1}^{s_j-s_j^{''}}\\Theta\\left[\\sum_{l=1}^{s_i} 1_{[0,\\Delta T]} \\left[(t_l^i-\\tau)-t_m^j\\right]\\right]$$\n", "\n", - "For detailed information on the calculation of e.g. $s_i^{''}$ or $s_j^{''}$, consult [Odenweller et al., 2020](https://journals.aps.org/pre/abstract/10.1103/PhysRevE.101.052213)). \n", + "For detailed information on the calculation of e.g. $s_i^{''}$ or $s_j^{''}$, consult [Odenweller et al., 2020](https://journals.aps.org/pre/abstract/10.1103/PhysRevE.101.052213). \n", "\n", "By changing the indices of the precursor and trigger rate, one gets the rate in the other directions e.g. for $r_t(i|j; \\Delta T, \\tau)$.\n", "\n", @@ -163,19 +163,19 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 6, "id": "a2c1ca5e", "metadata": {}, "outputs": [], "source": [ "series = np.array([[0, 1, 0],\n", - " [0, 0, 0],\n", + " [1, 0, 1],\n", " [0, 0, 0],\n", " [1, 0, 1],\n", " [0, 1, 0],\n", " [0, 0, 0],\n", - " [0, 0, 0],\n", - " [0, 0, 0],\n", + " [1, 0, 0],\n", + " [0, 0, 1],\n", " [0, 1, 0],\n", " [0, 0, 0]])" ] @@ -190,7 +190,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 7, "id": "eeddb65f", "metadata": {}, "outputs": [ @@ -198,13 +198,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "The initialized Event Series of the examples is EventSeries: 3 variables, 10 timesteps, taumax: 1.0, lag: 0.0\n" + "The initialized Event Series of our example is EventSeries: 3 variables, 10 timesteps, taumax: 1.0, lag: 0.0\n" ] } ], "source": [ "ev = EventSeries(series, taumax=1)\n", - "print(f\"The initialized Event Series of the examples is\", ev)" + "print(f\"The initialized Event Series of our example is\", ev)" ] }, { @@ -225,7 +225,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 8, "id": "9295b844", "metadata": {}, "outputs": [ @@ -233,22 +233,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "(0.0, 0.0)\n", - "(nan, nan, nan, nan)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/fritz/Desktop/23_H2_PIK/pyunicorn/src/pyunicorn/eventseries/event_series.py:578: RuntimeWarning: invalid value encountered in divide\n", - " return (np.float32(prec12) / (l1 - n11),\n", - "/Users/fritz/Desktop/23_H2_PIK/pyunicorn/src/pyunicorn/eventseries/event_series.py:579: RuntimeWarning: invalid value encountered in divide\n", - " np.float32(trig12) / (l2 - n22),\n", - "/Users/fritz/Desktop/23_H2_PIK/pyunicorn/src/pyunicorn/eventseries/event_series.py:580: RuntimeWarning: invalid value encountered in divide\n", - " np.float32(prec21) / (l2 - n21),\n", - "/Users/fritz/Desktop/23_H2_PIK/pyunicorn/src/pyunicorn/eventseries/event_series.py:581: RuntimeWarning: invalid value encountered in divide\n", - " np.float32(trig21) / (l1 - n12))\n" + "(0.5, 0.5)\n", + "(0.5, 1.0, 1.0, 1.0)\n" ] } ], @@ -278,30 +264,21 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 11, "id": "56cec935", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/fritz/Desktop/23_H2_PIK/pyunicorn/src/pyunicorn/eventseries/event_series.py:354: UserWarning: No 'threshold_types' given. If 'threshold_values' >= median, 'above' is used by default!\n", - " warnings.warn(\"No 'threshold_types' given. If 'threshold_values' \"\n" - ] - } - ], + "outputs": [], "source": [ "series = 10*np.random.rand(10,3)\n", "series = series.astype(int)\n", "\n", - "#Initialize dataset as EventSeries \n", - "ev = EventSeries(series[:, :2], threshold_method = 'quantile', threshold_values = 0.5, taumax=1)" + "#Initialize dataset as EventSeries\n", + "ev = EventSeries(series[:, :2], threshold_method = 'quantile', threshold_values = 0.5, threshold_types='below', taumax=1)" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 12, "id": "08e046a8", "metadata": {}, "outputs": [ @@ -309,7 +286,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "(0.43301270189221935, 0.43301270189221935)\n", + "(0.42857142857142855, 0.42857142857142855)\n", "(1.0, 1.0, 1.0, 1.0)\n" ] } @@ -322,7 +299,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 13, "id": "f6caefe2", "metadata": {}, "outputs": [ @@ -332,7 +309,7 @@ "(1.0, 1.0)" ] }, - "execution_count": 8, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -356,7 +333,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 14, "id": "0f5cf4b9", "metadata": {}, "outputs": [ @@ -364,10 +341,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "Matrix of Es strenghts is [[0. 0. ]\n", - " [0.40824829 0. ]]\n", - "Matrix of ECA strengths is [[0. 0.625]\n", - " [0.625 0. ]]\n" + "Matrix of Es strenghts is [[0. 0.16666667]\n", + " [0.16666667 0. ]]\n", + "Matrix of ECA strengths is [[0. 0.875]\n", + " [0.875 0. ]]\n" ] } ], @@ -407,7 +384,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 15, "id": "0bf34e66", "metadata": {}, "outputs": [ @@ -415,10 +392,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "[[0. 0. ]\n", - " [0.834 0. ]]\n", - "[[0. 0.239]\n", - " [0.239 0. ]]\n" + "[[0. 0.119]\n", + " [0.123 0. ]]\n", + "[[0. 0.609]\n", + " [0.609 0. ]]\n" ] } ], @@ -431,7 +408,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 16, "id": "726c572a", "metadata": {}, "outputs": [ @@ -439,10 +416,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "[[0. 0. ]\n", - " [0.822 0. ]]\n", - "[[0. 0.247]\n", - " [0.247 0. ]]\n" + "[[0. 0.12 ]\n", + " [0.112 0. ]]\n", + "[[0. 0.609]\n", + " [0.609 0. ]]\n" ] } ], @@ -479,10 +456,18 @@ }, { "cell_type": "code", - "execution_count": 204, + "execution_count": 17, "id": "ea03f3ea", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "climate: Package Ngl could not be loaded. Some functionality in class MapPlots might not be available!\n" + ] + } + ], "source": [ "#import additonal packages to generate Climate Networks \n", "from pyunicorn.climate.eventseries_climatenetwork import EventSeriesClimateNetwork\n", @@ -499,7 +484,7 @@ }, { "cell_type": "code", - "execution_count": 205, + "execution_count": 18, "id": "9b8c2e94", "metadata": {}, "outputs": [ @@ -555,7 +540,7 @@ }, { "cell_type": "code", - "execution_count": 206, + "execution_count": 19, "id": "e591bcf2", "metadata": {}, "outputs": [ @@ -593,7 +578,7 @@ }, { "cell_type": "code", - "execution_count": 207, + "execution_count": 20, "id": "bbb03017", "metadata": {}, "outputs": [ diff --git a/src/pyunicorn/eventseries/event_series.py b/src/pyunicorn/eventseries/event_series.py index 212d3cda..553642c1 100644 --- a/src/pyunicorn/eventseries/event_series.py +++ b/src/pyunicorn/eventseries/event_series.py @@ -55,13 +55,13 @@ def __init__(self, data, timestamps=None, taumax=np.inf, lag=0.0, eventmatrix could look like array([[0, 1, 0], - [0, 0, 0], + [1, 0, 1], [0, 0, 0], [1, 0, 1], [0, 1, 0], [0, 0, 0], - [0, 0, 0], - [0, 0, 0], + [1, 0, 0], + [0, 0, 1], [0, 1, 0], [0, 0, 0]]) From 191320ae21c949df22a1aef7cb9fb77150ebb4e7 Mon Sep 17 00:00:00 2001 From: fkuehlein Date: Tue, 9 Jan 2024 11:36:39 +0100 Subject: [PATCH 04/15] CI: Fixup bcc009d - `nbsphinx` needs `ipython`, therefore add another dependency --- .travis.yml | 3 ++- setup.cfg | 1 + 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/.travis.yml b/.travis.yml index 89fcc7bc..dd637e47 100644 --- a/.travis.yml +++ b/.travis.yml @@ -45,7 +45,8 @@ install: # testing dependencies - travis_retry conda install -c conda-forge tox flake8 pylint pytest-xdist pytest-cov codecov - - travis_retry conda install -c conda-forge networkx matplotlib cartopy sphinx nbsphinx nbsphinx-link + - travis_retry conda install -c conda-forge networkx matplotlib cartopy + - travis_retry conda install -c conda-forge sphinx ipython nbsphinx nbsphinx-link # debugging info - conda info -a diff --git a/setup.cfg b/setup.cfg index a1d9829c..b1a1cc09 100644 --- a/setup.cfg +++ b/setup.cfg @@ -65,6 +65,7 @@ dev = Cython >= 3.0 docs = sphinx >= 7.0 + ipython >= 8.4 nbsphinx >= 0.9.3 nbsphinx-link >= 1.3.0 testing = From 4a10fb757c3ed9aedf6f47f3376db3b3cbec6a79 Mon Sep 17 00:00:00 2001 From: fkuehlein Date: Fri, 2 Feb 2024 12:02:33 +0100 Subject: [PATCH 05/15] CI/MAINT: fixup 1bd9ab8 - update filepaths - add `pandoc` dependency necessary for windows build --- examples/tutorials/ClimateNetworks.ipynb | 6 +++--- setup.cfg | 1 + tests/test_climate/test_map_plot.py | 2 +- 3 files changed, 5 insertions(+), 4 deletions(-) diff --git a/examples/tutorials/ClimateNetworks.ipynb b/examples/tutorials/ClimateNetworks.ipynb index a6ad3278..852f30eb 100644 --- a/examples/tutorials/ClimateNetworks.ipynb +++ b/examples/tutorials/ClimateNetworks.ipynb @@ -130,7 +130,7 @@ "metadata": {}, "outputs": [], "source": [ - "DATA_FILENAME = \"./air.mon.mean.nc\"\n", + "DATA_FILENAME = \"./data/air.mon.mean.nc\"\n", "# Indicate data source (optional)\n", "DATA_SOURCE = \"ncep_ncar_reanalysis\"\n", "# Type of data file (\"NetCDF\" indicates a NetCDF file with data on a regular\n", @@ -448,7 +448,7 @@ "kernelspec": { "display_name": "pyunicorn", "language": "python", - "name": "pyunicorn" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -460,7 +460,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.7" + "version": "3.1.0" } }, "nbformat": 4, diff --git a/setup.cfg b/setup.cfg index 0538304e..e8d47596 100644 --- a/setup.cfg +++ b/setup.cfg @@ -65,6 +65,7 @@ dev = Cython >= 3.0 docs = sphinx >= 7.0 + pandoc >= 2.3 ipython >= 8.4 nbsphinx >= 0.9.3 nbsphinx-link >= 1.3.0 diff --git a/tests/test_climate/test_map_plot.py b/tests/test_climate/test_map_plot.py index cd6f5577..d08317ae 100644 --- a/tests/test_climate/test_map_plot.py +++ b/tests/test_climate/test_map_plot.py @@ -33,7 +33,7 @@ def test_plot(): # prepare ClimateNetwork fixture # (select subset of data to speed up loading and calculation) title = "ncep_ncar_reanalysis" - file = 'notebooks/air.mon.mean.nc' + file = 'examples/tutorials/data/air.mon.mean.nc' window = { "time_min": 0., "time_max": 0., "lat_min": 30, "lon_min": 0, From e421ec77da7f2c4b9448e8526fa107d14e3ffeca Mon Sep 17 00:00:00 2001 From: fkuehlein Date: Fri, 2 Feb 2024 12:38:52 +0100 Subject: [PATCH 06/15] CI: fixup 4a10fb7 --- .travis.yml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.travis.yml b/.travis.yml index cf8b77cc..09464733 100644 --- a/.travis.yml +++ b/.travis.yml @@ -67,7 +67,8 @@ install: travis_retry conda install -c conda-forge numpy scipy python-igraph h5netcdf tqdm travis_retry conda update -c conda-forge --all travis_retry conda install -c conda-forge tox flake8 pylint pytest-xdist pytest-cov codecov - travis_retry conda install -c conda-forge networkx matplotlib cartopy sphinx + travis_retry conda install -c conda-forge networkx matplotlib cartopy + travis_retry conda install -c conda-forge sphinx ipython nbsphinx nbsphinx-link pandoc conda info -a conda list From f59b1c4f3673591b22c92b8084d8d5d535bc54f3 Mon Sep 17 00:00:00 2001 From: ntfrgl Date: Fri, 2 Feb 2024 19:30:20 -0800 Subject: [PATCH 07/15] CI: Install `pandoc` executable - on Linux & macOS: via Conda - on Windows: via Chocolatey --- .travis.yml | 41 +++++++++++++++++++++-------------------- setup.cfg | 22 +++++++++++----------- 2 files changed, 32 insertions(+), 31 deletions(-) diff --git a/.travis.yml b/.travis.yml index 09464733..6a0fcc17 100644 --- a/.travis.yml +++ b/.travis.yml @@ -47,28 +47,29 @@ env: before_install: export ARCH=Linux-aarch64 SED=sed install: - - | # install Python via Miniconda + - | # install Miniconda travis_retry wget https://repo.anaconda.com/miniconda/Miniconda3-latest-${ARCH}.sh -O miniconda.sh - bash miniconda.sh -b -p $HOME/miniconda - export PATH="$HOME/miniconda/bin:$PATH"; hash -r + bash miniconda.sh -b -p ${HOME}/miniconda + export PATH="${HOME}/miniconda/bin:${PATH}"; hash -r conda config --set quiet yes --set always_yes yes --set changeps1 no - - | travis_retry conda update -n base -c defaults conda travis_retry conda update --all conda config --set solver libmamba conda info -a conda list + - | # install executables via Miniconda: Python, Pandoc travis_retry conda create -n test-env eval "$(conda shell.bash hook)" conda activate test-env - travis_retry conda install -c conda-forge python=${PYTHON} - - - | # install dependencies - travis_retry conda install -c conda-forge numpy scipy python-igraph h5netcdf tqdm + travis_retry conda install -c conda-forge python=${PYTHON} pandoc travis_retry conda update -c conda-forge --all - travis_retry conda install -c conda-forge tox flake8 pylint pytest-xdist pytest-cov codecov - travis_retry conda install -c conda-forge networkx matplotlib cartopy - travis_retry conda install -c conda-forge sphinx ipython nbsphinx nbsphinx-link pandoc + conda info -a + conda list + - | # install Python libs via Miniconda + travis_retry conda install -c conda-forge \ + numpy scipy python-igraph h5netcdf tqdm \ + ipython networkx matplotlib cartopy sphinx nbsphinx nbsphinx-link \ + tox flake8 pylint pytest-xdist pytest-cov codecov conda info -a conda list @@ -78,12 +79,10 @@ script: ${SED} -i '/-j ./ {s//-j 2/; h}; ${x;/./{x;q0};x;q1}' setup.cfg ${SED} -i '/-n auto/ {s//-n 2/; h}; ${x;/./{x;q0};x;q1}' pyproject.toml ${SED} -i '/jobs = ./ {s//jobs = 2/; h}; ${x;/./{x;q0};x;q1}' pyproject.toml - - # install self (and dependencies, if on Windows) - - travis_retry pip install -v -e ".[tests,docs]" - - # run test suite - - tox -v + - | # install Python libs via Pip: self (+ dependencies, if on Windows) + travis_retry pip install -v -e .[tests,docs] + - | # run test suite + tox -v # report statistics after_success: codecov @@ -100,8 +99,9 @@ jobs: language: shell before_install: - export ARCH=MacOSX-x86_64 SED=gsed - - export HOMEBREW_NO_AUTO_UPDATE=1 HOMEBREW_NO_INSTALL_CLEANUP=1 - - travis_retry brew install gnu-sed + - | # install executables via Homebrew: GNU `sed` + export HOMEBREW_NO_AUTO_UPDATE=1 HOMEBREW_NO_INSTALL_CLEANUP=1 + travis_retry brew install gnu-sed - os: windows language: shell @@ -109,6 +109,7 @@ jobs: - export ARCH=Windows-x86_64 SED=sed - export PATH=/c/Python${PYTHON/.}:/c/Python${PYTHON/.}/Scripts:${PATH} install: - - | # install Python via Chocolatey + - | # install executables via Chocolatey: Python, Pandoc travis_retry choco install python --version ${PYTHON} travis_retry python -m pip install --upgrade pip + travis_retry choco install pandoc diff --git a/setup.cfg b/setup.cfg index e8d47596..468cb9b2 100644 --- a/setup.cfg +++ b/setup.cfg @@ -63,24 +63,24 @@ include = pyunicorn* [options.extras_require] dev = Cython >= 3.0 -docs = - sphinx >= 7.0 - pandoc >= 2.3 - ipython >= 8.4 - nbsphinx >= 0.9.3 - nbsphinx-link >= 1.3.0 - matplotlib tests = + matplotlib >= 3.6 + cartopy >= 0.21 + networkx >= 3.1 ; python_version >= "3.9" + networkx <= 3.1 ; python_version < "3.9" tox >= 4.3 flake8 >= 6.0 pylint >= 2.17 pytest >= 7.3 pytest-xdist >= 3.3 pytest-cov >= 4.1 - networkx >= 3.1 ; python_version >= "3.9" - networkx <= 3.1 ; python_version < "3.9" - cartopy >= 0.21 - matplotlib +docs = + sphinx >= 7.0 + nbsphinx >= 0.9.3 + nbsphinx-link >= 1.3.0 + ipython >= 8.4 + pandoc >= 2.3 + matplotlib >= 3.6 # test suite =================================================================== From 8b8136084c3651706ddb49dcd5da4d79dd2ab442 Mon Sep 17 00:00:00 2001 From: ntfrgl Date: Sat, 3 Feb 2024 00:25:05 -0800 Subject: [PATCH 08/15] MAINT: Update project URL --- .travis.yml | 2 +- CONTRIBUTIONS.rst | 2 +- pyproject.toml | 2 +- setup.cfg | 4 ++-- setup.py | 2 +- src/pyunicorn/__init__.py | 2 +- src/pyunicorn/climate/__init__.py | 2 +- src/pyunicorn/climate/_ext/__init__.py | 2 +- src/pyunicorn/climate/_ext/numerics.pyx | 2 +- src/pyunicorn/climate/climate_data.py | 2 +- src/pyunicorn/climate/climate_network.py | 2 +- src/pyunicorn/climate/coupled_climate_network.py | 2 +- src/pyunicorn/climate/coupled_tsonis.py | 2 +- src/pyunicorn/climate/eventseries_climatenetwork.py | 2 +- src/pyunicorn/climate/havlin.py | 2 +- src/pyunicorn/climate/hilbert.py | 2 +- src/pyunicorn/climate/map_plot.py | 2 +- src/pyunicorn/climate/mutual_info.py | 2 +- src/pyunicorn/climate/partial_correlation.py | 2 +- src/pyunicorn/climate/rainfall.py | 2 +- src/pyunicorn/climate/spearman.py | 2 +- src/pyunicorn/climate/tsonis.py | 2 +- src/pyunicorn/core/__init__.py | 2 +- src/pyunicorn/core/_ext/__init__.py | 2 +- src/pyunicorn/core/_ext/numerics.pyx | 2 +- src/pyunicorn/core/_ext/types.pxd | 2 +- src/pyunicorn/core/_ext/types.py | 2 +- src/pyunicorn/core/data.py | 2 +- src/pyunicorn/core/geo_grid.py | 2 +- src/pyunicorn/core/geo_network.py | 2 +- src/pyunicorn/core/grid.py | 2 +- src/pyunicorn/core/interacting_networks.py | 2 +- src/pyunicorn/core/netcdf_dictionary.py | 2 +- src/pyunicorn/core/network.py | 2 +- src/pyunicorn/core/spatial_network.py | 2 +- src/pyunicorn/eventseries/__init__.py | 2 +- src/pyunicorn/eventseries/event_series.py | 2 +- src/pyunicorn/funcnet/__init__.py | 2 +- src/pyunicorn/funcnet/_ext/__init__.py | 2 +- src/pyunicorn/funcnet/_ext/numerics.pyx | 2 +- src/pyunicorn/funcnet/coupling_analysis.py | 2 +- src/pyunicorn/funcnet/coupling_analysis_pure_python.py | 2 +- src/pyunicorn/timeseries/__init__.py | 2 +- src/pyunicorn/timeseries/_ext/__init__.py | 2 +- src/pyunicorn/timeseries/_ext/numerics.pyx | 2 +- src/pyunicorn/timeseries/cross_recurrence_plot.py | 2 +- src/pyunicorn/timeseries/inter_system_recurrence_network.py | 2 +- src/pyunicorn/timeseries/joint_recurrence_network.py | 2 +- src/pyunicorn/timeseries/joint_recurrence_plot.py | 2 +- src/pyunicorn/timeseries/recurrence_network.py | 2 +- src/pyunicorn/timeseries/recurrence_plot.py | 2 +- src/pyunicorn/timeseries/surrogates.py | 2 +- src/pyunicorn/timeseries/visibility_graph.py | 2 +- src/pyunicorn/utils/__init__.py | 2 +- src/pyunicorn/utils/mpi.py | 2 +- src/pyunicorn/utils/navigator.py | 2 +- src/pyunicorn/version.py | 2 +- tests/conftest.py | 2 +- tests/test_climate/test_climate_data.py | 2 +- tests/test_climate/test_climate_network.py | 2 +- tests/test_climate/test_coupled_climate_network.py | 2 +- tests/test_climate/test_eventseries_climatenetwork.py | 2 +- tests/test_climate/test_map_plot.py | 2 +- tests/test_climate/test_tsonis.py | 2 +- tests/test_core/test_data.py | 2 +- tests/test_core/test_geo_grid.py | 2 +- tests/test_core/test_geo_network.py | 2 +- tests/test_core/test_grid.py | 2 +- tests/test_core/test_interacting_networks.py | 2 +- tests/test_core/test_network.py | 2 +- tests/test_core/test_resistive_networks.py | 2 +- tests/test_core/test_spatial_network.py | 2 +- tests/test_eventseries/test_event_series.py | 2 +- tests/test_funcnet/test_coupling_analysis.py | 2 +- tests/test_generic.py | 2 +- tests/test_timeseries/test_joint_recurrence_plot.py | 2 +- tests/test_timeseries/test_recurrence_plot.py | 2 +- tests/test_timeseries/test_timeseries.py | 2 +- tools/update-copyright | 2 +- 79 files changed, 80 insertions(+), 80 deletions(-) diff --git a/.travis.yml b/.travis.yml index 6a0fcc17..ad781bf3 100644 --- a/.travis.yml +++ b/.travis.yml @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2024 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) diff --git a/CONTRIBUTIONS.rst b/CONTRIBUTIONS.rst index 21b5042d..f414d479 100644 --- a/CONTRIBUTIONS.rst +++ b/CONTRIBUTIONS.rst @@ -12,7 +12,7 @@ BSD (3-clause) URL --- -http://www.pik-potsdam.de/members/donges/software +https://www.pik-potsdam.de/members/donges/software-2/software Mail ---- diff --git a/pyproject.toml b/pyproject.toml index ba54e37a..e953cde5 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # package ====================================================================== diff --git a/setup.cfg b/setup.cfg index 468cb9b2..9bf78b5f 100644 --- a/setup.cfg +++ b/setup.cfg @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # package ====================================================================== @@ -18,7 +18,7 @@ keywords = nonlinear climate recurrence plot surrogates spatial model license = BSD license_files = LICENSE.txt -url = http://www.pik-potsdam.de/~donges/pyunicorn/ +url = https://www.pik-potsdam.de/members/donges/software-2/software project_urls = Documentation = http://www.pik-potsdam.de/~donges/pyunicorn/ Source Code = https://github.com/pik-copan/pyunicorn diff --git a/setup.py b/setup.py index 430e5ed3..d667174f 100644 --- a/setup.py +++ b/setup.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/__init__.py b/src/pyunicorn/__init__.py index 93a9215f..aa3436d4 100644 --- a/src/pyunicorn/__init__.py +++ b/src/pyunicorn/__init__.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/climate/__init__.py b/src/pyunicorn/climate/__init__.py index 3ff47560..67d27c1c 100644 --- a/src/pyunicorn/climate/__init__.py +++ b/src/pyunicorn/climate/__init__.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/climate/_ext/__init__.py b/src/pyunicorn/climate/_ext/__init__.py index a8b29d54..6fb1b624 100644 --- a/src/pyunicorn/climate/_ext/__init__.py +++ b/src/pyunicorn/climate/_ext/__init__.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/climate/_ext/numerics.pyx b/src/pyunicorn/climate/_ext/numerics.pyx index 4c493ecf..fb538cc8 100644 --- a/src/pyunicorn/climate/_ext/numerics.pyx +++ b/src/pyunicorn/climate/_ext/numerics.pyx @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/climate/climate_data.py b/src/pyunicorn/climate/climate_data.py index a832e981..cba9e550 100644 --- a/src/pyunicorn/climate/climate_data.py +++ b/src/pyunicorn/climate/climate_data.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/climate/climate_network.py b/src/pyunicorn/climate/climate_network.py index 2bf271f9..7650e924 100644 --- a/src/pyunicorn/climate/climate_network.py +++ b/src/pyunicorn/climate/climate_network.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/climate/coupled_climate_network.py b/src/pyunicorn/climate/coupled_climate_network.py index 49a02b7d..6bae9fd7 100644 --- a/src/pyunicorn/climate/coupled_climate_network.py +++ b/src/pyunicorn/climate/coupled_climate_network.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/climate/coupled_tsonis.py b/src/pyunicorn/climate/coupled_tsonis.py index 959a7090..22d4e294 100644 --- a/src/pyunicorn/climate/coupled_tsonis.py +++ b/src/pyunicorn/climate/coupled_tsonis.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/climate/eventseries_climatenetwork.py b/src/pyunicorn/climate/eventseries_climatenetwork.py index 96926ca7..8c5605b4 100644 --- a/src/pyunicorn/climate/eventseries_climatenetwork.py +++ b/src/pyunicorn/climate/eventseries_climatenetwork.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/climate/havlin.py b/src/pyunicorn/climate/havlin.py index b4fc70c4..8aec3472 100644 --- a/src/pyunicorn/climate/havlin.py +++ b/src/pyunicorn/climate/havlin.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/climate/hilbert.py b/src/pyunicorn/climate/hilbert.py index 9b721b96..3f72da76 100644 --- a/src/pyunicorn/climate/hilbert.py +++ b/src/pyunicorn/climate/hilbert.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/climate/map_plot.py b/src/pyunicorn/climate/map_plot.py index 1611f1aa..3982da6d 100644 --- a/src/pyunicorn/climate/map_plot.py +++ b/src/pyunicorn/climate/map_plot.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/climate/mutual_info.py b/src/pyunicorn/climate/mutual_info.py index 6a47d09d..781aa2b1 100644 --- a/src/pyunicorn/climate/mutual_info.py +++ b/src/pyunicorn/climate/mutual_info.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/climate/partial_correlation.py b/src/pyunicorn/climate/partial_correlation.py index 7980d72a..f9fc8422 100644 --- a/src/pyunicorn/climate/partial_correlation.py +++ b/src/pyunicorn/climate/partial_correlation.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/climate/rainfall.py b/src/pyunicorn/climate/rainfall.py index ed11da2a..7b75c094 100644 --- a/src/pyunicorn/climate/rainfall.py +++ b/src/pyunicorn/climate/rainfall.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/climate/spearman.py b/src/pyunicorn/climate/spearman.py index fcd894a2..2a7af179 100644 --- a/src/pyunicorn/climate/spearman.py +++ b/src/pyunicorn/climate/spearman.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/climate/tsonis.py b/src/pyunicorn/climate/tsonis.py index f95a9e8d..a6398851 100644 --- a/src/pyunicorn/climate/tsonis.py +++ b/src/pyunicorn/climate/tsonis.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/core/__init__.py b/src/pyunicorn/core/__init__.py index e9c16302..6d224e11 100644 --- a/src/pyunicorn/core/__init__.py +++ b/src/pyunicorn/core/__init__.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/core/_ext/__init__.py b/src/pyunicorn/core/_ext/__init__.py index a8b29d54..6fb1b624 100644 --- a/src/pyunicorn/core/_ext/__init__.py +++ b/src/pyunicorn/core/_ext/__init__.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/core/_ext/numerics.pyx b/src/pyunicorn/core/_ext/numerics.pyx index 829c5b01..dda6c0d3 100644 --- a/src/pyunicorn/core/_ext/numerics.pyx +++ b/src/pyunicorn/core/_ext/numerics.pyx @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/core/_ext/types.pxd b/src/pyunicorn/core/_ext/types.pxd index b7bf50da..ba8c7343 100644 --- a/src/pyunicorn/core/_ext/types.pxd +++ b/src/pyunicorn/core/_ext/types.pxd @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/core/_ext/types.py b/src/pyunicorn/core/_ext/types.py index 3031b6d8..5efb4937 100644 --- a/src/pyunicorn/core/_ext/types.py +++ b/src/pyunicorn/core/_ext/types.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/core/data.py b/src/pyunicorn/core/data.py index 6007febd..421df850 100644 --- a/src/pyunicorn/core/data.py +++ b/src/pyunicorn/core/data.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/core/geo_grid.py b/src/pyunicorn/core/geo_grid.py index ed88d7e6..37f166b1 100644 --- a/src/pyunicorn/core/geo_grid.py +++ b/src/pyunicorn/core/geo_grid.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/core/geo_network.py b/src/pyunicorn/core/geo_network.py index 24a0e0c5..5358d2d4 100644 --- a/src/pyunicorn/core/geo_network.py +++ b/src/pyunicorn/core/geo_network.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/core/grid.py b/src/pyunicorn/core/grid.py index 29aeb359..4548084d 100644 --- a/src/pyunicorn/core/grid.py +++ b/src/pyunicorn/core/grid.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/core/interacting_networks.py b/src/pyunicorn/core/interacting_networks.py index 5f96dfcf..a5e82ba5 100644 --- a/src/pyunicorn/core/interacting_networks.py +++ b/src/pyunicorn/core/interacting_networks.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/core/netcdf_dictionary.py b/src/pyunicorn/core/netcdf_dictionary.py index d2c71a0a..80ce6854 100644 --- a/src/pyunicorn/core/netcdf_dictionary.py +++ b/src/pyunicorn/core/netcdf_dictionary.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/core/network.py b/src/pyunicorn/core/network.py index c1a1813b..69f09415 100644 --- a/src/pyunicorn/core/network.py +++ b/src/pyunicorn/core/network.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/core/spatial_network.py b/src/pyunicorn/core/spatial_network.py index 91944fc3..ca8fc6f3 100644 --- a/src/pyunicorn/core/spatial_network.py +++ b/src/pyunicorn/core/spatial_network.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/eventseries/__init__.py b/src/pyunicorn/eventseries/__init__.py index 852fd1bf..2462ccf7 100644 --- a/src/pyunicorn/eventseries/__init__.py +++ b/src/pyunicorn/eventseries/__init__.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/eventseries/event_series.py b/src/pyunicorn/eventseries/event_series.py index 553642c1..e13dca7b 100644 --- a/src/pyunicorn/eventseries/event_series.py +++ b/src/pyunicorn/eventseries/event_series.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/funcnet/__init__.py b/src/pyunicorn/funcnet/__init__.py index e7e69dd8..33bcced8 100644 --- a/src/pyunicorn/funcnet/__init__.py +++ b/src/pyunicorn/funcnet/__init__.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/funcnet/_ext/__init__.py b/src/pyunicorn/funcnet/_ext/__init__.py index a8b29d54..6fb1b624 100644 --- a/src/pyunicorn/funcnet/_ext/__init__.py +++ b/src/pyunicorn/funcnet/_ext/__init__.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/funcnet/_ext/numerics.pyx b/src/pyunicorn/funcnet/_ext/numerics.pyx index e4fe09d0..75b59764 100644 --- a/src/pyunicorn/funcnet/_ext/numerics.pyx +++ b/src/pyunicorn/funcnet/_ext/numerics.pyx @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/funcnet/coupling_analysis.py b/src/pyunicorn/funcnet/coupling_analysis.py index 3e428477..ca1f6148 100644 --- a/src/pyunicorn/funcnet/coupling_analysis.py +++ b/src/pyunicorn/funcnet/coupling_analysis.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/funcnet/coupling_analysis_pure_python.py b/src/pyunicorn/funcnet/coupling_analysis_pure_python.py index 59a9453c..84025713 100644 --- a/src/pyunicorn/funcnet/coupling_analysis_pure_python.py +++ b/src/pyunicorn/funcnet/coupling_analysis_pure_python.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/timeseries/__init__.py b/src/pyunicorn/timeseries/__init__.py index a80eada1..6fe190a0 100644 --- a/src/pyunicorn/timeseries/__init__.py +++ b/src/pyunicorn/timeseries/__init__.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/timeseries/_ext/__init__.py b/src/pyunicorn/timeseries/_ext/__init__.py index a8b29d54..6fb1b624 100644 --- a/src/pyunicorn/timeseries/_ext/__init__.py +++ b/src/pyunicorn/timeseries/_ext/__init__.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/timeseries/_ext/numerics.pyx b/src/pyunicorn/timeseries/_ext/numerics.pyx index 30e82b35..83004406 100644 --- a/src/pyunicorn/timeseries/_ext/numerics.pyx +++ b/src/pyunicorn/timeseries/_ext/numerics.pyx @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/timeseries/cross_recurrence_plot.py b/src/pyunicorn/timeseries/cross_recurrence_plot.py index 709643a6..de1bc29d 100644 --- a/src/pyunicorn/timeseries/cross_recurrence_plot.py +++ b/src/pyunicorn/timeseries/cross_recurrence_plot.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/timeseries/inter_system_recurrence_network.py b/src/pyunicorn/timeseries/inter_system_recurrence_network.py index e47d8840..dd35f740 100644 --- a/src/pyunicorn/timeseries/inter_system_recurrence_network.py +++ b/src/pyunicorn/timeseries/inter_system_recurrence_network.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/timeseries/joint_recurrence_network.py b/src/pyunicorn/timeseries/joint_recurrence_network.py index 206da754..c0f1da41 100644 --- a/src/pyunicorn/timeseries/joint_recurrence_network.py +++ b/src/pyunicorn/timeseries/joint_recurrence_network.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/timeseries/joint_recurrence_plot.py b/src/pyunicorn/timeseries/joint_recurrence_plot.py index 809d557a..5909e5a4 100644 --- a/src/pyunicorn/timeseries/joint_recurrence_plot.py +++ b/src/pyunicorn/timeseries/joint_recurrence_plot.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/timeseries/recurrence_network.py b/src/pyunicorn/timeseries/recurrence_network.py index 337d6602..9eeb5f6b 100644 --- a/src/pyunicorn/timeseries/recurrence_network.py +++ b/src/pyunicorn/timeseries/recurrence_network.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/timeseries/recurrence_plot.py b/src/pyunicorn/timeseries/recurrence_plot.py index 03ea0ff9..b9f96680 100644 --- a/src/pyunicorn/timeseries/recurrence_plot.py +++ b/src/pyunicorn/timeseries/recurrence_plot.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/timeseries/surrogates.py b/src/pyunicorn/timeseries/surrogates.py index 1beafa54..d98a0602 100644 --- a/src/pyunicorn/timeseries/surrogates.py +++ b/src/pyunicorn/timeseries/surrogates.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/timeseries/visibility_graph.py b/src/pyunicorn/timeseries/visibility_graph.py index a3c709fd..f11429ba 100644 --- a/src/pyunicorn/timeseries/visibility_graph.py +++ b/src/pyunicorn/timeseries/visibility_graph.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/utils/__init__.py b/src/pyunicorn/utils/__init__.py index 9f22ed4d..8fb3c1c3 100644 --- a/src/pyunicorn/utils/__init__.py +++ b/src/pyunicorn/utils/__init__.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/utils/mpi.py b/src/pyunicorn/utils/mpi.py index e2cdc760..a117ff8d 100644 --- a/src/pyunicorn/utils/mpi.py +++ b/src/pyunicorn/utils/mpi.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/utils/navigator.py b/src/pyunicorn/utils/navigator.py index bb114f4c..d0920b66 100644 --- a/src/pyunicorn/utils/navigator.py +++ b/src/pyunicorn/utils/navigator.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/src/pyunicorn/version.py b/src/pyunicorn/version.py index 514a1619..d777547e 100644 --- a/src/pyunicorn/version.py +++ b/src/pyunicorn/version.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/tests/conftest.py b/tests/conftest.py index 1639c9cb..fc36ebfd 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/tests/test_climate/test_climate_data.py b/tests/test_climate/test_climate_data.py index c8abb430..4f29a5c2 100644 --- a/tests/test_climate/test_climate_data.py +++ b/tests/test_climate/test_climate_data.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/tests/test_climate/test_climate_network.py b/tests/test_climate/test_climate_network.py index c4f60dab..fcd7755c 100644 --- a/tests/test_climate/test_climate_network.py +++ b/tests/test_climate/test_climate_network.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/tests/test_climate/test_coupled_climate_network.py b/tests/test_climate/test_coupled_climate_network.py index b79306f7..b44841e7 100644 --- a/tests/test_climate/test_coupled_climate_network.py +++ b/tests/test_climate/test_coupled_climate_network.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/tests/test_climate/test_eventseries_climatenetwork.py b/tests/test_climate/test_eventseries_climatenetwork.py index aae703c6..ac6b8b8c 100644 --- a/tests/test_climate/test_eventseries_climatenetwork.py +++ b/tests/test_climate/test_eventseries_climatenetwork.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/tests/test_climate/test_map_plot.py b/tests/test_climate/test_map_plot.py index d08317ae..3e371b34 100644 --- a/tests/test_climate/test_map_plot.py +++ b/tests/test_climate/test_map_plot.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/tests/test_climate/test_tsonis.py b/tests/test_climate/test_tsonis.py index 9c7dab8c..38115046 100644 --- a/tests/test_climate/test_tsonis.py +++ b/tests/test_climate/test_tsonis.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/tests/test_core/test_data.py b/tests/test_core/test_data.py index 72c8078d..ded4a718 100644 --- a/tests/test_core/test_data.py +++ b/tests/test_core/test_data.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/tests/test_core/test_geo_grid.py b/tests/test_core/test_geo_grid.py index f4cef889..d360c5d3 100644 --- a/tests/test_core/test_geo_grid.py +++ b/tests/test_core/test_geo_grid.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/tests/test_core/test_geo_network.py b/tests/test_core/test_geo_network.py index 33a01b78..8ae5bd4c 100644 --- a/tests/test_core/test_geo_network.py +++ b/tests/test_core/test_geo_network.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/tests/test_core/test_grid.py b/tests/test_core/test_grid.py index 189c5c92..7afb6ca9 100644 --- a/tests/test_core/test_grid.py +++ b/tests/test_core/test_grid.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/tests/test_core/test_interacting_networks.py b/tests/test_core/test_interacting_networks.py index eafa249e..283b082d 100644 --- a/tests/test_core/test_interacting_networks.py +++ b/tests/test_core/test_interacting_networks.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/tests/test_core/test_network.py b/tests/test_core/test_network.py index 4a4e1bbb..3f320559 100644 --- a/tests/test_core/test_network.py +++ b/tests/test_core/test_network.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/tests/test_core/test_resistive_networks.py b/tests/test_core/test_resistive_networks.py index df063a57..3274b8c5 100644 --- a/tests/test_core/test_resistive_networks.py +++ b/tests/test_core/test_resistive_networks.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/tests/test_core/test_spatial_network.py b/tests/test_core/test_spatial_network.py index 02471e34..8bf74a61 100644 --- a/tests/test_core/test_spatial_network.py +++ b/tests/test_core/test_spatial_network.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/tests/test_eventseries/test_event_series.py b/tests/test_eventseries/test_event_series.py index 30a0017f..933a1299 100644 --- a/tests/test_eventseries/test_event_series.py +++ b/tests/test_eventseries/test_event_series.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/tests/test_funcnet/test_coupling_analysis.py b/tests/test_funcnet/test_coupling_analysis.py index 4a21038c..89b74aa7 100644 --- a/tests/test_funcnet/test_coupling_analysis.py +++ b/tests/test_funcnet/test_coupling_analysis.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/tests/test_generic.py b/tests/test_generic.py index e0874e1d..2cf32776 100644 --- a/tests/test_generic.py +++ b/tests/test_generic.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/tests/test_timeseries/test_joint_recurrence_plot.py b/tests/test_timeseries/test_joint_recurrence_plot.py index a90917d3..5cc4c486 100644 --- a/tests/test_timeseries/test_joint_recurrence_plot.py +++ b/tests/test_timeseries/test_joint_recurrence_plot.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/tests/test_timeseries/test_recurrence_plot.py b/tests/test_timeseries/test_recurrence_plot.py index a693a840..79c78100 100755 --- a/tests/test_timeseries/test_recurrence_plot.py +++ b/tests/test_timeseries/test_recurrence_plot.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/tests/test_timeseries/test_timeseries.py b/tests/test_timeseries/test_timeseries.py index 3236e03c..542a8c39 100644 --- a/tests/test_timeseries/test_timeseries.py +++ b/tests/test_timeseries/test_timeseries.py @@ -1,6 +1,6 @@ # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors diff --git a/tools/update-copyright b/tools/update-copyright index 2b747be5..1f9a01f1 100755 --- a/tools/update-copyright +++ b/tools/update-copyright @@ -2,7 +2,7 @@ # # This file is part of pyunicorn. # Copyright (C) 2008--2023 Jonathan F. Donges and pyunicorn authors -# URL: +# URL: # License: BSD (3-clause) # # Please acknowledge and cite the use of this software and its authors From 708cc35cba78e633fd5b036530bf310edfb7f634 Mon Sep 17 00:00:00 2001 From: ntfrgl Date: Sat, 3 Feb 2024 00:30:29 -0800 Subject: [PATCH 09/15] DOC: Update cross-references --- CONTRIBUTIONS.rst | 8 +- README.rst | 46 ++++---- docs/source/contact.rst | 3 +- docs/source/development.rst | 4 +- docs/source/download.rst | 11 +- docs/source/index.rst | 21 ++-- docs/source/license.rst | 7 +- docs/source/methods.rst | 24 ++-- docs/source/publications.rst | 212 ++++++++++++++--------------------- docs/source/sitemap.rst | 6 +- docs/source/tutorials.rst | 11 +- 11 files changed, 147 insertions(+), 206 deletions(-) diff --git a/CONTRIBUTIONS.rst b/CONTRIBUTIONS.rst index f414d479..6e99bb66 100644 --- a/CONTRIBUTIONS.rst +++ b/CONTRIBUTIONS.rst @@ -19,6 +19,10 @@ Mail Jonathan Donges, Potsdam Institute for Climate Impact Research, P.O. Box 60 12 03, D-14412 Potsdam, Germany +Related publications +-------------------- +See `Publications `_. + Authors ------- Written as part of a diploma/PhD thesis in physics by `Jonathan F. Donges @@ -27,10 +31,6 @@ Institute for Climate Impact Research (PIK) and completed at the University of Potsdam, Germany. Substantially extended by `Jobst Heitzig `_. -Related publications --------------------- -See `Publications `_. - Contributors ------------ - Jakob Runge (extended ``core`` and ``climate``) diff --git a/README.rst b/README.rst index 3eed7617..fedda118 100644 --- a/README.rst +++ b/README.rst @@ -12,22 +12,27 @@ About ===== ``pyunicorn`` (**Uni**\ fied **Co**\ mplex Network and **R**\ ecurre\ **N**\ ce analysis toolbox) is an object-oriented Python package for the advanced analysis -and modeling of complex networks. Beyond the standard measures of complex -network theory, such as degree, betweenness and clustering coefficients, it -provides some uncommon but interesting statistics like Newman's random walk -betweenness. ``pyunicorn`` also features novel *node-weighted (node splitting -invariant)* network statistics as well as measures designed for analyzing -*networks of interacting/interdependent networks*. - -Moreover, ``pyunicorn`` allows one to easily *construct networks from uni- and -multivariate time series and event data* (functional (climate) networks and -recurrence networks). This involves linear and nonlinear measures of time series -analysis for constructing functional networks from multivariate data (e.g., -Pearson correlation, mutual information, event synchronization and event -coincidence analysis). ``pyunicorn`` also features modern techniques of -nonlinear analysis of single and pairs of time series, such as recurrence -quantification analysis (RQA), recurrence network analysis and visibility -graphs. +and modeling of complex networks. Beyond the standard **measures of complex +network theory** (such as *degree*, *betweenness* and *clustering coefficients*), it +provides some uncommon but interesting statistics like *Newman's random walk +betweenness*. ``pyunicorn`` also provides novel **node-weighted** *(node splitting invariant)* +network statistics, measures for analyzing networks of **interacting/interdependent +networks**, and special tools to model **spatially embedded** complex networks. + +Moreover, ``pyunicorn`` allows one to easily *construct networks* from uni- and +multivariate time series and event data (**functional/climate networks** and +**recurrence networks**). This involves linear and nonlinear measures of +**time series analysis** for constructing functional networks from multivariate data +(e.g., *Pearson correlation*, *mutual information*, *event synchronization* and *event +coincidence analysis*). ``pyunicorn`` also features modern techniques of +nonlinear analysis of time series (or pairs thereof), such as *recurrence +quantification analysis* (RQA), *recurrence network analysis* and *visibility +graphs*. + +``pyunicorn`` is **fast**, because all costly computations are performed in +compiled C/C++ and Fortran code. It can handle **large networks** through the +use of sparse data structures. The package can be used interactively, from any +Python script, and even for parallel computations on large cluster architectures. License ------- @@ -69,8 +74,8 @@ Mailing list Not implemented yet. -Usage -===== +Getting Started +=============== Installation ------------ @@ -103,8 +108,7 @@ Optional *(used only in certain classes and methods)*: To install these dependencies, please follow the instructions for your system's package manager or consult the libraries' homepages. An easy way to go may be a -Python distribution like `Anaconda `_ -that already includes many libraries. +Python distribution like `Anaconda `_. Official releases ................. @@ -148,7 +152,7 @@ Test suite ---------- Before committing changes or opening a pull request (PR) to the code base, please make sure that all tests pass. The test suite is managed by `tox -`_ and is configured to use system-wide packages +`_ and is configured to use system-wide packages when available. Install the test dependencies as follows:: $> pip install .[tests] diff --git a/docs/source/contact.rst b/docs/source/contact.rst index 7af6250c..02470a95 100644 --- a/docs/source/contact.rst +++ b/docs/source/contact.rst @@ -4,8 +4,7 @@ Contact .. include:: ../../README.rst :start-after: (3 clause). - :end-before: Usage + :end-before: Getting Started .. include:: ../../CONTRIBUTIONS.rst :start-after: BSD (3-clause) - :end-before: Acknowledgements diff --git a/docs/source/development.rst b/docs/source/development.rst index c77e0b6f..37db9c53 100644 --- a/docs/source/development.rst +++ b/docs/source/development.rst @@ -1,3 +1,3 @@ -Development -=========== +.. include:: ../../README.rst + :start-after: $> cd docs; make clean html latexpdf \ No newline at end of file diff --git a/docs/source/download.rst b/docs/source/download.rst index e1a71c90..f5a72cd3 100644 --- a/docs/source/download.rst +++ b/docs/source/download.rst @@ -1,11 +1,4 @@ -Download -======== - -.. include:: ../../README.rst - :start-after: ``pyunicorn`` is `BSD-licensed `_ (3 clause). - :end-before: Test suite - .. include:: ../../README.rst - :start-after: graphs. - :end-before: License + :start-after: Not implemented yet. + :end-before: Development diff --git a/docs/source/index.rst b/docs/source/index.rst index 6c2d0371..5a5cfcb3 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -1,21 +1,16 @@ +============ Introduction ============ .. include:: ../../README.rst - :start-after: ========= - :end-before: Reference - -For example, to generate a recurrence network with 1000 nodes from a sinusoidal -signal and compute its network transitivity you simply need to type + :start-after: :target: https://codecov.io/gh/pik-copan/pyunicorn + :end-before: License -.. literalinclude:: ../../examples/modules/timeseries/recurrence_network.py +Example +======= -The package provides special tools to analyze and model **spatially embedded** -complex networks. +To generate a recurrence network with 1000 nodes from a sinusoidal +signal and to compute its network transitivity, you can simply run: -``pyunicorn`` is **fast** because all costly computations are performed in -compiled C, C++ and Fortran code. It can handle **large networks** through the -use of sparse data structures. The package can be used interactively, from any -Python script and even for parallel computations on large cluster -architectures. +.. literalinclude:: ../../examples/modules/timeseries/recurrence_network.py \ No newline at end of file diff --git a/docs/source/license.rst b/docs/source/license.rst index 3283412c..407b9068 100644 --- a/docs/source/license.rst +++ b/docs/source/license.rst @@ -2,9 +2,4 @@ License ======= -.. include:: -.. include:: ../../CONTRIBUTIONS.rst - :start-after: ============= - :end-before: Mail - -.. literalinclude:: ../../LICENSE.txt +.. literalinclude:: ../../LICENSE.txt \ No newline at end of file diff --git a/docs/source/methods.rst b/docs/source/methods.rst index 17587530..3118e837 100644 --- a/docs/source/methods.rst +++ b/docs/source/methods.rst @@ -1,6 +1,6 @@ -Methods -======= +Package Overview +================ A brief introduction to the methods, measures and algorithms provided by ``pyunicorn``. @@ -21,15 +21,15 @@ possible. Spatially embedded networks --------------------------- ``pyunicorn`` includes measures and models specifically designed for spatially -embedded networks (or simply spatial networks) via the GeoNetwork and Grid +embedded networks (or simply spatial networks) via the ``GeoNetwork`` and ``Grid`` classes. * :doc:`api/core/geo_network` * :doc:`api/core/grid` -Interacting/interdependent/multiplex networks / networks of networks --------------------------------------------------------------------- -The InteractingNetworks class provides a rich collection of network measures and models specifically designed for investigating the structure of networks of +Interacting/multiplex networks (networks of networks) +----------------------------------------------------- +The ``InteractingNetworks`` class provides a rich collection of network measures and models specifically designed for investigating the structure of networks of networks (also called interacting networks, interdependent networks or multiplex networks in different contexts). Examples include the cross-link density of connections between different subnetworks or the cross-shortest @@ -39,8 +39,8 @@ the degree of organization of the cross-connectivity between subnetworks. * :doc:`api/core/interacting_networks` -Node-weighted network measures / node-splitting invariance ----------------------------------------------------------- +Node-weighted (node-splitting invariant) network measures +--------------------------------------------------------- Node-weighted networks measures derived following the node-splitting invariance approach are useful for studying systems with nodes representing subsystems of heterogeneous size, weight, area, volume or importance, e.g., nodes @@ -52,8 +52,8 @@ as well as interacting networks. * :doc:`api/core/network` * :doc:`api/core/interacting_networks` -Climate networks / Coupled climate networks -------------------------------------------- +(Coupled) Climate networks +-------------------------- ``pyunicorn`` provides classes for the easy construction and analysis of the statistical interdependency structure within and between fields of time series (functional networks) using various similarity measures such as Pearson and Spearman correlation, lagged linear correlation, mutual information and event synchronization. Climate networks allow the analysis of single fields of time series, whereas coupled climate networks focus on studying the @@ -66,8 +66,8 @@ FMRI and EEG data) or financial data (e.g., stock market indices). * :doc:`api/climate/coupled_climate_network` * :doc:`api/climate/climate_data` -Recurrence networks / recurrence quantification analysis / recurrence plots ---------------------------------------------------------------------------- +Recurrence quantification/network analysis +------------------------------------------ Recurrence analysis is a powerful method for studying nonlinear systems, particularly based on univariate and multivariate time series data. Recurrence quantification analysis (RQA) and recurrence network analysis (RNA) allow to diff --git a/docs/source/publications.rst b/docs/source/publications.rst index 941f02a2..9a057636 100644 --- a/docs/source/publications.rst +++ b/docs/source/publications.rst @@ -7,9 +7,12 @@ detail and applying the methods implemented in the ``pyunicorn`` package. General complex networks ======================== -*Review papers* -~~~~~~~~~~~~~~~ -[Newman2003]_, [Boccaletti2006]_, [Costa2007]_. +- Review papers: [Newman2003]_, [Boccaletti2006]_, [Costa2007]_. +- Further network papers: [Watts1998]_, [Newman2001]_, [Newman2002]_, + [Arenas2003]_, [Newman2005]_, [Soffer2005]_, [Holme2007]_, [Tsonis2008a]_, + [Ueoka2008]_. + +.... .. [Newman2003] M.E.J. Newman. "The structure and function of complex networks". @@ -29,11 +32,6 @@ General complex networks `doi:10.1080/00018730601170527 `__ -*Further network papers* -~~~~~~~~~~~~~~~~~~~~~~~~ -[Watts1998]_, [Newman2001]_, [Newman2002]_, [Arenas2003]_, [Newman2005]_, -[Soffer2005]_, [Holme2007]_, [Tsonis2008a]_, [Ueoka2008]_. - .. [Watts1998] D.J. Watts and S.H. Strogatz. "Collective dynamics of small-world networks". In *Nature* vol. 393, 440–442 (1998) @@ -93,9 +91,12 @@ General complex networks Proceedings of NOLTA (2008) http://tsuzuki.ise.ibaraki.ac.jp/MyPaper/Meeting/08NOLTA.pdf + Spatially embedded networks =========================== -[Bartelemy2011]_. +- [Bartelemy2011]_. + +.... .. [Bartelemy2011] M. Barthelemy. "Spatial networks". @@ -103,11 +104,13 @@ Spatially embedded networks `doi:10.1016/j.physrep.2010.11.002 `__ -Interacting/interdependent networks / networks of networks + +Interacting/interdependent networks (networks of networks) ========================================================== -*Introduction to structural analysis of interacting networks* -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -[Donges2011a]_. +- Introduction to structural analysis of interacting networks: [Donges2011a]_. +- Random graph models & network surrogates for interacting networks: [Schultz2010]_. + +.... .. [Donges2011a] J.F. Donges, H.C.H. Schultz, N. Marwan, Y. Zou, J. Kurths. "Investigating the topology of interacting networks - Theory and @@ -117,11 +120,18 @@ Interacting/interdependent networks / networks of networks `doi:10.1140/epjb/e2011-10795-8 `__ -Node-weighted network measures / node-splitting invariance -========================================================== -*Introduction* -~~~~~~~~~~~~~~ -[Heitzig2012]_. +.. [Schultz2010] H.C.H. Schultz. + "Coupled climate networks: Investigating the terrestrial atmosphere's + dynamical structure". + Diploma thesis, Free University, Berlin (2010) + + +Node-weighted (node-splitting invariant) network measures +========================================================= +- Introduction: [Heitzig2012]_. +- Analysis of node-weighted interacting networks: [Wiedermann2011]_, [Wiedermann2013]_. + +.... .. [Heitzig2012] J. Heitzig, J. F. Donges, Y. Zou, N. Marwan, J. Kurths. "Node-weighted measures for complex networks with spatially embedded, @@ -131,19 +141,6 @@ Node-weighted network measures / node-splitting invariance `doi:10.1140/epjb/e2011-20678-7 `__ -*Random graph models and network surrogates for interacting networks* -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -[Schultz2010]_. - -.. [Schultz2010] H.C.H. Schultz. - "Coupled climate networks: Investigating the terrestrial atmosphere's - dynamical structure". - Diploma thesis, Free University, Berlin (2010) - -*Analysis of node-weighted interacting networks* -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -[Wiedermann2011]_, [Wiedermann2013]_. - .. [Wiedermann2011] M. Wiedermann. "Coupled climate network analysis of multidecadal dynamics in the Arctic". Bachelor's thesis, Humboldt University, Berlin (2011) @@ -162,9 +159,12 @@ Node-weighted network measures / node-splitting invariance `doi:10.1209/0295-5075/107/58005 `__ + Climate data analysis (general) =============================== -[Bretherton1992]_. +- [Bretherton1992]_. + +.... .. [Bretherton1992] C.S. Bretherton, C. Smith, J.M. Wallace. "An intercomparison of methods for finding coupled patterns in climate @@ -173,11 +173,21 @@ Climate data analysis (general) `doi:10.1175/1520-0442(1992)005<0541:AIOMFF>2.0.CO;2 `__ -Climate networks / Coupled climate networks -=========================================== -*Comparing linear and nonlinear construction of climate networks* -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -[Donges2009a]_. + +(Coupled) Climate networks +========================== +- Comparing linear & nonlinear construction of climate networks: [Donges2009a]_. +- Studying the dynamical structure of the surface air temperature field: + [Donges2009b]_, [Radebach2010]_. +- Introduction to coupled climate networks & applications: + [Schultz2010]_, [Donges2011a]_, [Wiedermann2011]_. +- Review of climate network analysis (in Chinese!): [Zou2011]_. +- Visualization of climate networks: [Tominski2011]_. +- Evolving climate networks: [Radebach2013]_. +- General: [Tsonis2004]_, [Tsonis2006]_, [Gozolchiani2008]_, [Tsonis2008b]_, + [Tsonis2008c]_, [Yamasaki2008]_, [Donges2009c]_, [Yamasaki2009]_. + +.... .. [Donges2009a] J.F. Donges, Y. Zou, N. Marwan, J. Kurths. "Complex networks in climate dynamics". @@ -186,10 +196,6 @@ Climate networks / Coupled climate networks `doi:10.1140/epjst/e2009-01098-2 `__ -*Studying the dynamical structure of the surface air temperature field* -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -[Donges2009b]_, [Radebach2010]_. - .. [Donges2009b] J.F. Donges, Y. Zou, N. Marwan, J. Kurths. "The backbone of the climate network". In *Europhysics Letters*, vol. 87 (no. 4), 48007 (2009) @@ -201,32 +207,16 @@ Climate networks / Coupled climate networks structure of the Earth's climate system". Diploma thesis, Humboldt University, Berlin (2010) -*Introduction to coupled climate networks and applications* -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -[Schultz2010]_, [Donges2011a]_, [Wiedermann2011]_. - -*Review of climate network analysis (in Chinese!)* -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -[Zou2011]_. - .. [Zou2011] Y. Zou, J.F. Donges, J. Kurths. "Recent advances in complex climate network analysis". In *Complex Systems and Complexity Science*, vol. 8 (no. 1), p27-38 (2011) -*Visualization of climate networks* -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -[Tominski2011]_. - .. [Tominski2011] C. Tominski, J.F. Donges, T. Nocke. "Information Visualization in Climate Research". In *Proceedings of the International Conference on Information Visualisation (IV), London*, p298-305 (2011) `doi:10.1109/IV.2011.12 `__ -*Evolving climate networks* -~~~~~~~~~~~~~~~~~~~~~~~~~~~ -[Radebach2013]_. - .. [Radebach2013] A. Radebach, R.V. Donner, J. Runge, J.F. Donges, J. Kurths. "Disentangling different types of El Nino episodes by evolving climate network analysis". @@ -234,11 +224,6 @@ Climate networks / Coupled climate networks `doi:10.1103/PhysRevE.88.052807 `__ -*General* -~~~~~~~~~ -[Tsonis2004]_, [Tsonis2006]_, [Gozolchiani2008]_, [Tsonis2008b]_, -[Tsonis2008c]_, [Yamasaki2008]_, [Donges2009c]_, [Yamasaki2009]_. - .. [Tsonis2004] A.A. Tsonis and P.J. Roebber. "The architecture of the climate network". In *Physica A: Statistical Mechanics and its Applications*, @@ -285,11 +270,12 @@ Climate networks / Coupled climate networks In *Progress Of Theoretical Physics Supplement*, vol. 179, p178-188 (2009) `doi:10.1143/PTPS.179.178 `__ -Power Grids/Power Networks -=========================================== -*Resistance based networks* -~~~~~~~~~~~~~~~~~~~~~~~~~~~ -[Schultz2014]_, [Schultz2014a]_. + +Power grids & Power networks +============================ +- Resistance based networks: [Schultz2014]_, [Schultz2014a]_. + +.... .. [Schultz2014] P. Schultz "Stability Analysis of Power Grid Networks". *M.Sc. Thesis*, Humboldt-Universität zu Berlin (2014) @@ -299,12 +285,14 @@ Power Grids/Power Networks Spatially Embedded Infrastructure Networks". In *Eur. Phys. J. Special Topics: Resilient Power Grids and Extreme Events* (2014) -Time series analysis and synchronization -======================================== -*General* -~~~~~~~~~ -[Pecora1998]_, [Schreiber2000]_, [Bandt2002]_, [Kraskov2004]_, [Kantz2006]_, [Thiel2006]_, -[Bergner2008]_, [Pompe2011]_, [Ribeiro2011]_, [Runge2012b]_. + +Time series analysis & Synchronization +====================================== +- General: [Pecora1998]_, [Schreiber2000]_, [Bandt2002]_, [Kraskov2004]_, + [Kantz2006]_, [Thiel2006]_, [Bergner2008]_, [Pompe2011]_, [Ribeiro2011]_, [Runge2012b]_. +- Event synchronization: [Quiroga2002]_, [Boers2014]_. + +.... .. [Pecora1998] L.M. Pecora and T.L. Carroll. "Master Stability Functions for Synchronized Coupled Systems". @@ -369,10 +357,6 @@ Time series analysis and synchronization `doi:10.1103/PhysRevE.86.061121 `__ -*Event synchronization* -~~~~~~~~~~~~~~~~~~~~~~~ -[Quiroga2002]_, [Boers2014]_. - .. [Quiroga2002] R.Q. Quiroga, T. Kreuz, P. Grassberger. "Event synchronization: a simple and fast method to measure synchronicity and time delay patterns." @@ -388,11 +372,22 @@ Time series analysis and synchronization `doi:10.1038/ncomms6199 `__ -Recurrence networks / quantification analysis / plots -===================================================== -*Review of recurrence plots and RQA* -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -[Marwan2007]_. + +Recurrence quantification/network analysis +========================================== +- Review of recurrence plots & RQA: [Marwan2007]_. +- Introduction & application of recurrence networks in the context of RQA: [Marwan2009]_. +- Thorough introduction to recurrence network analysis: [Donner2010b]_. +- Discussion of choosing an appropriate recurrence threshold: [Donner2010a]_, [Zou2010]_. +- Review of various methods for network-based time series analysis: [Donner2011a]_. +- Introduction to measures of (fractal) transitivity dimensions: [Donner2011b]_. +- Applications of recurrence network analysis to paleoclimate data: [Donges2011b]_, + [Donges2011c]_, [Feldhoff2012]_. +- Theory of recurrence networks: [Donges2012]_, [Zou2012]_. +- Multivariate extensions of recurrence network analysis: [Feldhoff2012]_, [Feldhoff2013]_. +- General: [Ngamga2007]_, [Xu2008]_, [Schinkel2009]_. + +.... .. [Marwan2007] N. Marwan, M.C. Romano, M. Thiel, J. Kurths. "Recurrence plots for the analysis of complex systems". @@ -400,20 +395,12 @@ Recurrence networks / quantification analysis / plots `doi:10.1016/j.physrep.2006.11.001 `__ -*Introduction and application of recurrence networks in the context of RQA* -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -[Marwan2009]_. - .. [Marwan2009] N. Marwan, J.F. Donges, Y. Zou, R.V. Donner, J. Kurths. "Complex network approach for recurrence analysis of time series". In *Physics Letters A*, vol. 373 (no. 46), p4246-4254 (2009) `doi:10.1016/j.physleta.2009.09.042 `__ -*A thorough introduction to recurrence network analysis* -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -[Donner2010b]_. - .. [Donner2010b] R.V. Donner, Y. Zou, J.F. Donges, N. Marwan, J. Kurths. "Recurrence networks -- A novel paradigm for nonlinear time series analysis". @@ -421,10 +408,6 @@ Recurrence networks / quantification analysis / plots `doi:10.1088/1367-2630/12/3/033025 `__ -*Discussion of choosing an appropriate recurrence threshold* -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -[Donner2010a]_, [Zou2010]_. - .. [Donner2010a] R.V. Donner, Y. Zou, J.F. Donges, N. Marwan, J. Kurths. "Ambiguities in recurrence-based complex network representations of time series". @@ -439,10 +422,6 @@ Recurrence networks / quantification analysis / plots In *Chaos*, vol. 20 (no. 4), 043130 (2010) `doi:10.1063/1.3523304 `__ -*Review of various methods for network-based time series analysis* -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -[Donner2011a]_. - .. [Donner2011a] R.V. Donner, M. Small, J.F. Donges, N. Marwan, Y. Zou, R. Xiang, J. Kurths. "Recurrence-based time series analysis by means of complex network @@ -452,10 +431,6 @@ Recurrence networks / quantification analysis / plots `doi:10.1142/S0218127411029021 `__ -*Introduction to measures of (fractal) transitivity dimensions* -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -[Donner2011b]_. - .. [Donner2011b] R.V. Donner, J. Heitzig, J.F. Donges, Y. Zou, J. Kurths. "The geometry of chaotic dynamics -- A complex network perspective". In *European Physical Journal B: Condensed Matter and Complex Systems*, @@ -463,10 +438,6 @@ Recurrence networks / quantification analysis / plots `doi:10.1140/epjb/e2011-10899-1 `__ -*Applications of recurrence network analysis to paleoclimate data* -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -[Donges2011b]_, [Donges2011c]_, [Feldhoff2012]_. - .. [Donges2011b] J.F. Donges, R.V. Donner, K. Rehfeld, N. Marwan, M.H. Trauth, J. Kurths. "Identification of dynamical transitions in marine palaeoclimate records @@ -484,10 +455,6 @@ Recurrence networks / quantification analysis / plots `doi:10.1073/pnas.1117052108 `__ -*Theory of recurrence networks* -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -[Donges2012]_, [Zou2012]_. - .. [Donges2012] J.F. Donges, J. Heitzig, R.V. Donner, J. Kurths. "Analytical framework for recurrence network analysis of time series". In *Physical Review E: Statistical, Nonlinear, and Soft Matter Physics*, @@ -502,10 +469,6 @@ Recurrence networks / quantification analysis / plots `doi:10.1209/0295-5075/98/48001 `__ -*Multivariate extensions of recurrence network analysis* -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -[Feldhoff2012]_, [Feldhoff2013]_. - .. [Feldhoff2012] J.H. Feldhoff, R.V. Donner, J.F. Donges, N. Marwan, J. Kurths. "Geometric detection of coupling directions by means of inter-system @@ -521,10 +484,6 @@ Recurrence networks / quantification analysis / plots `doi:10.1209/0295-5075/102/30007 `__ -*General* -~~~~~~~~~ -[Ngamga2007]_, [Xu2008]_, [Schinkel2009]_. - .. [Ngamga2007] E.J. Ngamga, A. Nandi, R. Ramaswamy, M.C. Romano, M. Thiel, J. Kurths. "Recurrence analysis of strange nonchaotic dynamics". In *Physical Review E*, vol. 75, 036222 (2007) @@ -544,11 +503,14 @@ Recurrence networks / quantification analysis / plots `doi:10.1016/j.physleta.2009.04.045 `__ + Visibility graph analysis ========================= -*Introduction* -~~~~~~~~~~~~~~ -[Lacasa2008]_. +- Introduction: [Lacasa2008]_. +- Application to geophysical time series: [Donner2012]_. +- Tests for time series irreversibility: [Donges2013]_. + +.... .. [Lacasa2008] L. Lacasa, B. Luque, F. Ballesteros, J. Luque, J.C. Nuno. "From time series to complex networks: The visibility graph". @@ -556,10 +518,6 @@ Visibility graph analysis America*, vol. 105 (no. 13), p4972-4975 (2008) `doi:10.1073/pnas.0709247105 `__ -*Application to geophysical time series* -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -[Donner2012]_. - .. [Donner2012] R.V. Donner and J.F. Donges. "Visibility graph analysis of geophysical time series: Potentials and possible pitfalls". @@ -567,10 +525,6 @@ Visibility graph analysis `doi:10.2478/s11600-012-0032-x `__ -*Tests for time series irreversibility* -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -[Donges2013]_. - .. [Donges2013] J.F. Donges, R.V. Donner, J. Kurths. "Testing time series irreversibility using complex network methods". In *Europhysics Letters*, vol. 102.1, 10004 (2013) diff --git a/docs/source/sitemap.rst b/docs/source/sitemap.rst index 5919dace..ff14b389 100644 --- a/docs/source/sitemap.rst +++ b/docs/source/sitemap.rst @@ -8,11 +8,11 @@ Sitemap index download - tutorials methods + tutorials api_doc - development - changelog publications + changelog + development license contact diff --git a/docs/source/tutorials.rst b/docs/source/tutorials.rst index 829c97e1..647d7cc8 100644 --- a/docs/source/tutorials.rst +++ b/docs/source/tutorials.rst @@ -2,14 +2,15 @@ Tutorials ========= -The tutorials are designed to be self-explanatory. For further details on the -used classes and methods please refer to the :doc:`api_doc`. -The tutorials are set up as Jupyter notebooks that can be accessed read-only -through the links below. The original, runnable notebook files can be found -in the ``examples`` folder of ``pyunicorn``'s root directory. +The tutorials are designed to be self-explanatory, and are set up as Jupyter +notebooks that can be accessed read-only through the links below. The original, +executable notebook files can be found in the folder ``pyunicorn/examples``. .. toctree:: :maxdepth: 1 :glob: tutorials/* + +For further details on the used classes and methods, please refer to the +:doc:`api_doc` documentation. \ No newline at end of file From aa39cf391678e53afd9f74f596c09222540292f5 Mon Sep 17 00:00:00 2001 From: ntfrgl Date: Sat, 3 Feb 2024 01:17:10 -0800 Subject: [PATCH 10/15] MAINT: Update dependencies --- pyproject.toml | 3 ++- setup.cfg | 18 ++++++++++-------- 2 files changed, 12 insertions(+), 9 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index e953cde5..c3ce5e52 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -36,7 +36,8 @@ omit = ["*/utils/navigator.py"] [tool.pylint.main] ignore = [ - "CVS", ".cache", ".tox", ".ropeproject", "build", "mpi.py" + ".cache", "__pycache__", ".pytest_cache", ".tox", ".venv", ".ropeproject", + "build", "mpi.py" ] ignore-patterns = ["navigator", "numerics"] persistent = false diff --git a/setup.cfg b/setup.cfg index 9bf78b5f..e157c75c 100644 --- a/setup.cfg +++ b/setup.cfg @@ -47,7 +47,8 @@ install_requires = numpy >= 1.24 scipy >= 1.10 igraph >= 0.11 - h5netcdf >= 1.1 + h5netcdf >= 1.1 ; python_version >= "3.9" + h5netcdf <= 1.1 ; python_version < "3.9" tqdm >= 4.66 python_requires = >=3.8 packages = find: @@ -65,14 +66,15 @@ dev = Cython >= 3.0 tests = matplotlib >= 3.6 - cartopy >= 0.21 + cartopy >= 0.21 ; python_version >= "3.9" + cartopy <= 0.21 ; python_version < "3.9" networkx >= 3.1 ; python_version >= "3.9" networkx <= 3.1 ; python_version < "3.9" - tox >= 4.3 - flake8 >= 6.0 - pylint >= 2.17 - pytest >= 7.3 - pytest-xdist >= 3.3 + tox >= 4.11 + flake8 >= 7.0 + pylint >= 3.0 + pytest >= 8.0 + pytest-xdist >= 3.5 pytest-cov >= 4.1 docs = sphinx >= 7.0 @@ -85,7 +87,6 @@ docs = # test suite =================================================================== [tox:tox] -minversion = 4.3 requires = setuptools >= 65 isolated_build = false @@ -109,6 +110,7 @@ allowlist_externals = pylint pytest sphinx-build + pandoc [testenv:style] commands = From c5de131399c40e241b76432191309d814b4b2ef6 Mon Sep 17 00:00:00 2001 From: ntfrgl Date: Tue, 6 Feb 2024 01:25:30 -0800 Subject: [PATCH 11/15] DOC: Polish tutorials (#213) Package sdist & repository: - add tutorial sources - remove generated files - remove datasets Code: - download datasets within notebooks - reduce redundancy - group dual pairs of plots - adjust some parameters - rerun notebooks Text & math: - fix typos, edit lightly, update references - fix TeX parsing errors in `nbsphinx` - optimise outline hierarchy for `nbsphinx --- .gitignore | 4 +- MANIFEST.in | 4 +- docs/source/sitemap.rst | 3 +- docs/source/tutorials.rst | 9 +- .../tutorials/images/Characteristics_rP.png | Bin 87634 -> 0 bytes docs/source/tutorials/images/ECA.png | Bin 61668 -> 0 bytes .../tutorials/images/EventSynchronisation.png | Bin 27951 -> 0 bytes .../tutorials/images/REcurrencePlot_v2.png | Bin 129654 -> 0 bytes examples/tutorials/ClimateNetworks.ipynb | 69 +- .../tutorials/CoupledClimateNetworks.ipynb | 853 ++++++------------ examples/tutorials/EventSeriesAnalysis.ipynb | 436 ++++----- examples/tutorials/RecurrenceNetworks.ipynb | 636 +++++-------- examples/tutorials/VisibilityGraphs.ipynb | 445 +++++---- examples/tutorials/data/air.mon.mean.nc | Bin 28383581 -> 0 bytes examples/tutorials/images/HVG.PNG | Bin 316547 -> 0 bytes .../tutorials/images/HVG.png | Bin examples/tutorials/images/SimpleVG.PNG | Bin 143544 -> 0 bytes .../tutorials/images/SimpleVG.png | Bin tests/conftest.py | 28 +- tests/test_climate/test_map_plot.py | 7 +- 20 files changed, 982 insertions(+), 1512 deletions(-) delete mode 100644 docs/source/tutorials/images/Characteristics_rP.png delete mode 100644 docs/source/tutorials/images/ECA.png delete mode 100644 docs/source/tutorials/images/EventSynchronisation.png delete mode 100644 docs/source/tutorials/images/REcurrencePlot_v2.png delete mode 100644 examples/tutorials/data/air.mon.mean.nc delete mode 100644 examples/tutorials/images/HVG.PNG rename docs/source/tutorials/images/HVG.PNG => examples/tutorials/images/HVG.png (100%) delete mode 100644 examples/tutorials/images/SimpleVG.PNG rename docs/source/tutorials/images/SimpleVG.PNG => examples/tutorials/images/SimpleVG.png (100%) diff --git a/.gitignore b/.gitignore index 35b972c2..355c8095 100644 --- a/.gitignore +++ b/.gitignore @@ -72,6 +72,7 @@ instance/ # Sphinx documentation docs/_build/ +docs/source/tutorials/images/ # PyBuilder .pybuilder/ @@ -164,5 +165,6 @@ cython_debug/ # option (not recommended) you can uncomment the following to ignore the entire idea folder. #.idea/ -# Calculation dumps +# cached data *.data +examples/tutorials/data diff --git a/MANIFEST.in b/MANIFEST.in index 27c7da18..a8fb7461 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -4,6 +4,8 @@ recursive-include src/pyunicorn/*/_ext *.pxd *.pyx src_*.c include *.rst *.txt docs/Makefile graft docs/source -recursive-include examples *.py +recursive-include examples *.py *.ipynb *.png +prune docs/source/tutorials/images +prune **/.ipynb_checkpoints recursive-include tests *.py diff --git a/docs/source/sitemap.rst b/docs/source/sitemap.rst index ff14b389..c828217f 100644 --- a/docs/source/sitemap.rst +++ b/docs/source/sitemap.rst @@ -3,8 +3,7 @@ Sitemap ======= .. toctree:: - :maxdepth: 2 - :includehidden: + :maxdepth: 3 index download diff --git a/docs/source/tutorials.rst b/docs/source/tutorials.rst index 647d7cc8..643d5707 100644 --- a/docs/source/tutorials.rst +++ b/docs/source/tutorials.rst @@ -5,12 +5,11 @@ Tutorials The tutorials are designed to be self-explanatory, and are set up as Jupyter notebooks that can be accessed read-only through the links below. The original, executable notebook files can be found in the folder ``pyunicorn/examples``. +For further details on the used classes and methods, please refer to the +:doc:`api_doc` documentation. .. toctree:: - :maxdepth: 1 + :maxdepth: 2 :glob: - tutorials/* - -For further details on the used classes and methods, please refer to the -:doc:`api_doc` documentation. \ No newline at end of file + tutorials/* \ No newline at end of file diff --git a/docs/source/tutorials/images/Characteristics_rP.png b/docs/source/tutorials/images/Characteristics_rP.png deleted file mode 100644 index d3428e7225baf09f7ac4915e8b686ed197ef8585..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 87634 zcmZ^LcOaI3`!-p(O=NFM!%FrZB}J%&LS|AaJ0x2u8AVo+k|-mh5Sb||BYSTlvMR}Z zkNbIk@B7dDzV{!`(^tB$>-t>h=RA+|IF9pk+sNQ3Jq;HP2?+`PG2O$bNJw_PA|WC5 zCG5aY+zynY+iM=~_|1xr5h%O2UP^ns2`#CH~U$Xvh$k3~5dr_%t$oJ=)?$z9jsx9Ya zf(4i;{`0A?;^5m)yZ67JOM$`v{oJSgpP%ggfBk60G^lRWMd1;@zlyxPyn;ecON;a1 zJI`<5z9}jyim}apxXrTt^76O7zLfa*iJw0=4R!Usy#D5ym+aWF_Gn`{gg7Z+Q+^Jwhu{!5jXm!Ge8xD! z^BW#NZY#yXvPa+X@@1iLc^R3z-0}t|PW&7;Ii!E$#I|4?i6+z5)>gm~F7Myd%$*(E zsvF^v4-K+Tw^avF3JYiO$5LAF*E>dLHK}Yu!$J2kYJ0S&(2i+(YAT#eR6l94Dtp4L z*pc~RQ&(HtjepCNsmfl5j~r1}Qo8=L?~iy(rOz*i=0}P=3{zwEk+!zB6MCmkohmFW zR8>`t=bEXC=a#<~8XkW7-=gH`V7ZrGg4jR9%6mE)CwmQ+Xsg$G_fV>+BqSs(mZzta z_&Yi}j%ZZOrzI!%_Vw)-5s|snCc?rJw{=ohUjEa^kN#`F8$W!o?<>9(BA>-BdETP@ zdfuy7hDVQn>gu{){ZNr7x~#0MwA9<$Iz2j?VJ`=6S)=>ou;Kgc=YCg}%&^9w${WaCX!*KNY@jEWoJ8XJI~C_ z2oi#8tYr|~^704v?fcX66=7RhSvgu4&X{!av6|myCnw{RCr78IM8iu;N@!_m+Z~JF zy;G8VNPlN@%c`TjJtIB6Inwy;+d;k7UR@Trv zni=0#S69_;t_ny>wtV^&9{J|w%j4(Ir#0H&7oPd~^XKd=3lkH^GaFI5M|0j;Mtc%ac&Ar=b&%mq18sL2OYToPD z(#_kix()^leE$5IN$dFW;}%VK>TS=MnBZGhTDEKYO-)S`V`GiZoOzIxlvGe4HLo;O z6(G5L_wIfB8vp3}_>`rm3vAtyJbC6!XK!zB)t4Xh^UuFIZftB|r;3Y+HPnDTcqkzJ6W45f9MSWpeiHS!QPDe7y@7E?_fk z^3Tl99zgi8uyCtT-SG8&;_B+>fAnZLF3ZShc;?I*XJ_Z_mTKwr9sI zEiK9NSzQ!(7#SJejvl%;P`bRl{A$mu*ROYe{{DA3U_0T0TlVi4FJ4%^qYBue$&_V~ znsU(Y@m~Uo@I!@WaN}4CLJ3an~b9|Lq!)` znp2g1e0(M+CvA+QqoY?A7Z-p1ic3h4J9H@L#fzE)($}wFr()nyKypGJNtCo=(6d6) z1)08}EM03l^e7-$B!pFxqIy#ChuxHPn66fJCy^?E#%YXjt zVrQ=k*xp+EGixJ;J+d%8T^&>9zj>~7G6bI7^P2UdS&HMd%HWn3flt9 zj>`uwuC98Eii&D#*2M6u-|+F#w8=9o41VP6wJ_xA;(|LniZoGN{JSwubSYEWYyRtF z_2J=RD{XCUJ-ykP_NKQRn>PTmspeD{6S8(x3~B9@o{%^BLp`zHU>2yM$Z@< zOG`^P7>Zkzy7a!jfH#P!b^reL58lr;QaXo*qT`TkP=XO<&rdv*yB!(n+*1G$P@Oq8X1n*A zot+(a&Z8-NB)6`7%bfgtzMVVWwl;jG56H;KG$>k~J&T;g$HZi9Vw#^J*suysFu%6jvr^W#SyEc@4_gSbCzUnE>DEiK$O!i(vQmR4|S>1s^~m8)K| zqWgE;#@lOyFLQI}78Zv4`e^F(Ei4A^avs`an09kvNEJ`2l$!S7!4W2MWcc&@boKR- zlsennmHpN{?CgY1vx-squ<1lav*zZU4jnp#^;JssN6;f2($mwQXooK^F5cx+efRe5 z^+hF0i^`impX2w58ayH}FqoK{igw4AmMXBbCw}5m^jTv`yEC|04Nq3Od1P;g#fh`e*>^S@tH*i{A@-#$ihQ+ZwMf7{gE-QC~s+Yl>= zD_^~OwbZbnxcF{#wA%H#q_=NZ@-53Lohn|PfB(9mpr^#y>hR&v`}f-l?LG;psHzV3 z_nYhM&mjT=HkPOwG_a$+6#|1kHaB1U^P>~{wg7Q-`ZTvoW;#k6-W}@L`rn1&;!7-t zcZ-U8O@7{${~-8Ecm5?u$G{EO)kPbgI{ZD7%e$-nZ|y!szsSyZ8m{EEy76~@u;az) zmNeCJ=i$ne89MjMUkM+L_P%jr?cYBn1cNk{vdT*TY93ufL+p0-fUS*}XL4j@WoX?nfj4^OrB&>i#Mo zm4F*4`T*_%ma=kkLZOcyJ!P$AbNbx58%SnYeV`#XH#e+0K4&a^+ z9&|+tcx6=uz&I01&61w-2T&rmlr(G(!gqgjlo`nM@bZe` zIH+~v1^21u-2~go&kxMsI@Mg|6r30v3wG!GyN#56r7L%4yR$Wab7Ny<_`UC6 z>16$arps5ZxVyS)5}J|@jw84cJgr}srvEIBA4Ppo$=tVp|JwasHn<6oA^@(Xr6ueJ zQNy&*hk|yRTpTF2*!t$@&T(;ZX^^(|_EH}tLSz$ucJ`xL?ZZ_8jN3nEW_F8+R4?cy zN?=b`FQABuohv5zBjNBkyd~>XC$WxhndLJPOJHEa0s#j*^l48eOr@&zKNNf zly`5LGawa^9T9(=Ek3TNS0_&YfwGAI(4nF@QNuAunA|P=vk&glj zUF2IihmuguyR84w4vQmavQF(GrvGWxif*yb8EqUCK_K{XLR#4%DL(%xViblBe zk#kv4QwJB6l>GhkXLk#2)ZM%3BMD+>iH%XlttXB%ZJC?D$k)0qd`TE(0_sq?dn+vL zU3vMq_t@B2!+Ua51}5@@ofx3-;f zc4-lm!aY42Ju(DBP*BjY?XeSbilIAd|3nE84jw$H!iO#CIoma=ln@tJheqt-uct>M zH5BQ7(1$W5%oV+Uy;!Z&tP?CyokqDH%&T^jL-6pmJUo&>*q98`j?8 zuhC_1B26JsYW?k{>^_|90l^{^dTsFCtt0XUM?wNpA3Xx{Y%Gl8RbJ6E2^E-(`y|YC z%kRLZ|>((tS2H^?7*`D3IHPe9zBI`dlHgX~Y z6YsnJ`Ee#`_CtOBZxNK8~!XtJ~Vy zNujFPy~A+38uSx(8^4M-Q}{G)=EslgUS8UvIVO41Qc?;Y)8K!4fe{)D?{$aI&CP9W zZfd3|25hNlMLd$@|)k|16u zh!E-#v5ieaeZuC%O)P~F!RGtz#Zh7^L1N=m@z#h=xNH%Bx|zn7NEke{9% zivx4f-`Ce5Cxov7C?+%iyts^>6mV=4z)B!ANK^af&5gE9Jw+aa8#k2bej+WPN<>FS z)^&nq`iyW(Ok`iNLx}E^kll}R(5Cv9Y5XP>%rQA2sB)6C8Fm7geUbz7Xs7Ah(#_($Y9Q^>CT zsJw#478V=JlX|gH4SBx!MQUp5RwbaSyLa^igsII2iwX;aIuo2rl*sJ}uQ$n2%D!e$ zzOn<07_#dxYFd1JJU~E$eQ4~xd-s6Skd6UEgF`~__1krw!fI-1Sc7Lw1HRgQ&oVRf za&tj0IXXC8pKg6Z+{=HA1Cx@>{QOj-bc6{)hYqnQT^tKwXyz@D&^#1mLed^cs+>tG z=oJH;4aD>zPL)TUWRtF8%tPsYaWU)8UlWZi(|WE%k|Bmi@f2!3A7B2>PR1Ei zQ>zMZ=HKboR>ZcdRhtZ3KZZ}WHc#8YAUekr@My#SK<%rxzP`0j`~m1msuyF9?vXGT zd@V?s_UUiS2Xxx2$o=@#T#!@ImDU($+O(t*rJ2Ru`JXGO)v#Yz?>r*r@LJ@Bid7U3b#Oc%RNMH#PmNz!n{_H#b zTq9WUR!vRK=9MGIj!{>z8mFo!qMFG){5d%(YyDn)-#$S-(*P=58Q_2z2t!m~K7a0U zS_!Nl?CR@oG>?5v;z6Hn*_#ZDEFDfD;f=F^sPTpEt zcvU0>g3KFpeTTF(aff%rrMA)D4^d*%0c^&imsGwCH?llQ^D(5E8Lq#Oj=T||MK-$ z_qP(j$OQ=Sfel1ZpbmImzYc!P3$+9(6A8Yhr6uO}?V5+F^gDl9>2Fx&@{xU?G9*6_ zrDE;971h3NOy{bMuElJ1CNr$D}-r3euitWQ>D; z0pQuy6H+2Q5^mnx5>KgNrwCXR5Dz*wue|;#k0^XK&xWJzM0ki58(C`!>@%?yw+OK@mVjskr%1 zT2|Jx+8dAp5WL2Pbjz)A5NQ$tS&%ME00EEUUgftg*PX)PBbbq$z4yR@NFEMe-YAMn zNz#|A!2I{^@^fT-x2VZvWnuIAGq90`$*nI1Ji6MHQ^XG?%-QuF$FSH(FY_v)rYs&oASHRRI zik)p6w&51^z$$|!4hYx=KMX+lNYVW{c1rz|Y=v)WNi!Ar15jX#(5^}pVtWk)Bnm|p*e+}hEx6t9w-`(ZdEzfkDF;NW_RjlaLY*_1M9 z*jKNd!9!xNj*pE&7wfFDZT$Q>SkuYdyEHDY9pI-r^su2}%fJASV0>~i_;q|_Mo8q) z8=-Ckcc43~k<$LYJo$xN&IzwRE-}%|)%8VQ-fmheBs)|Yft6a_>fHi=8Bz7m7#RV~ zn-@8p@by*J%7#>g#{Ky|^m2dx{7JVB-fU^4rLn*C9qcW7kb<_E$;sW~;(jx2yK{da zbeq0@rK6|kHBu2_Y(c<4^l}D6^M%Wsc6Bw_fx_bf>XHP={-a6xwuF615OIBxzM1lndc~QMX@tUWOj*jH{ zip7DaZGt)T1Ct^s++TYk20`8)wW)!~y^`YP#sTH}h zd-d^`At7WvN{H@b{DreED+V(4qE^A1MvR zr#+OsKkg9`i8U_)zLI-Es{T#keo;EQuWaH}S=m2Ohb)(KId-Y0EP0b&gGJ>$_KiUeYN$)_2;GrT1 zIq0xqP_~l~T?`IOfA{Xj$Ge;(Jmh@*MGj3nT+2}P&=P?Ye#lnf|J1Ms0n$isjwJg$ ztY?5-XX(wA?mLl@vhi@(Yl4D;xH1qhny0zJ^6s{_oeO(O=1C4Ye2tBd{|Zw8S~<`Q_)~!>NA3ks zR(6L@vPJ$`U#O}(YEyN1F(#bP!pO)4OMq0=W9|Q=;|0PJ%HEiZ!pH?$lk$<%0>Z*Y zz~&(Olae@)17F9v0*6C_ee=c>|9R|KBd8sl*R;ef6I_czH;eO5U-nt z6NDOc%h2yAlel{N`|JFxOSOqfIIa=xUXV9JW3>6hhr@G%x0#5)w0avVcTED<$hh+5 zj%>)LbAL#b4w{uiVx#gMB;{4crbR|8Dk_SMjD#GBo;fVWtwjR*Td8@J(Nz0055EB6eqCkPA>=B+IAeu+L9C( z6Jv#TBb_`VGz?NsmW7?lho5%QJnr5-(wLodZPYq%6qZqm=M0%SI0zSNtfinfNAsy3 zZ{EulwMSGGxkcXnyS~u_R3Zrw`DJCC11Vrg&Wf?gafQDk@nQeO!p25vcfS+@T2fM3 znWA?x$eJ2^+65t!{Sw4o*ayM5zA3iGnhxsmx~8X>7s{3OQfi~UZMUq1Krb>9<=>YZ z8#jS~&YwTu@D$XqN;`*~6GvR5i1MDmP1aI5YjyTu0hk?xMMc9cJ)tB+3O7A_w(-x8 zOua;Dj=McQJ&7F_zEh)*!&fj2q!~(xk8Il4CNQrYjiw>I108BtA075@Go|KZ3rrf8>J9;%gZ~0UZFF{adKxl2G{7LA1yrAg`~q}owk^q`H_7mTi#y^3|#=AXqvAOuon_GNtL;%~BH~aG^h4Ta&4o%A) zb&wpdW;;RA3_P1~>lTH_aeNCn26Q&1jHAo@jEs%%-np}1LINUj4EXvLkNP~iox>nW zloJ6#6=NmMQ`57;@V+15hFZXXlJnRzkmOZ zHcLTK5zH0au3gAP933b`4Wlml`ugY!pkb|pZ-=h|VnHrP!`H8<{{Xi^_oy4bd;u-< zb9&n7)TtEp0JZMs8jJfUbaXxDm4GOEV6s~0ZFrvKz)Gk|sowDzr| z1KNeXwY9ag^Kihc5>!}@T_0okV`QU1mXAbI2tP)9{OFMd%A%zu?|JH?;^Gf8DBMVM z5Z+;7@N{>t>k7axql<&&fEop`OO;BcH4PmR+B%Z4{K10&CifxsHXUf7o}HgJK-%8F zf9I}Up02JnG_Xk}?l`j7gAFz>^u6e0v8U1Z+1qu1(Ek0~Lrtv` z5Z>l-G!mtCQ5Y0O+pNpeOHUfnHk~hZc|vrP4EwvgxCmsGm6xvri~tDUOGp4Wwouj1 z**hR2EBmIR;!&eLu)3RgKtb;u6k;^Qk+*L*fpM-lW`RZ>5;%T()6cK5-wpJ8cV{Oj z7uOik+_QFN50W~|&Yj@GfE+;zHc%2fD!g+GNxTD+@PpZukSu+-HWc5+z+6T;tgGT4 ze3o}0Hzx;6cDp?;KK}PuJuS*08Wf46fzYPFMQLhkVjoGcd_#blmt2eDlKos$^8^&% z`}c!AJsg7Zj~?AUBkZBXs}gU0npEuaxIg(GeKhyhMZFWp{kOOLoc?A!eJX^uA}U$% zV5~Tn%`i;`DbfpaReyExI-5rZzz46(3F!SCEp5*i$wEdb;iMi?C7fWAl$+)CVM%)sOZpF8^l4)0`vVR zd3maC6Aj2@7X6oGQj(L;g45_4{@l@{e%QQMK_U^x?n-0 z_W+0*J+j5W*^NpGJ)(d!9*_5ArB35k4IJ&;li3=GU<*GFnX@O`j61S&MY*(Yvl ziO$E>%PXsW2IR`Zj~~k`E6t6KHGUc32B9*Z-?o)bHri!#f8~1goVkbHXz_28$uGKH@CzSQq#}? zb)iiHM%C5T9eD3sf{;KphKT@8Xhr!v!VnGl?2jJ+!1%LzdXpVCJcUB0Y@rr528g_E<)%5hR?P zL>Gd~)$JRgDZhTzCnXKSf1}Iy%Smo9EcAW4${3hQn!Aw&FF|^BTQ$0I4fb^_Qe85n zs(?Yp$*gMaGr|BEG&FYt6ys$Ut;mwt7;QDR5x$z9F~%tYbZe*-FH(NDpwUyNV&p>! zh8lL+**P&Tj{Ac@(Wp5#tPNrp**{tTd%4#FR137VjSOqs8d!Sd(Z7(MaigF_8Nv^( ze)QVr+*?liKi5?5I8ORs3+QfoqyPD|k^J{36#wT(8@~Vk_|c4%CZa{?+4FB9q~6xD z%xx0l0Jbb0rS`dVN?~m=2n{xTE`H;U&Q_B^hzKus z7MAsVZMA)S_ilMnezAJ^`SWo=4CwYHm6J%9AdT?C;ptI@c>;tXUK(6G!<(LHi6T67 zNYuz}YD1|DI(^VAayf?IyyH9y#SuL-;R*5fb=};gwHk(owyKugo6}TjrJF#CP*#u{ zd_l|l-Oy(c<_#N`UddE(Eltg(meKBb%8_(tH-0MR&}}~jC8hm)_r@Bo!%_vT6!13@ z?coxN|HLnc9;df>33KX z0&OJWb-1LykIz3VpCh1Sx9F)_H^nXm=2&iPKYg0MD!WSYlk#;@(UQ+lU{n;n+J!0S zwpZ{Yf!Vwt;{y9gS8MBtQq#XIP$by$(To?h2q+Ke@b0y^o_*`YsqYdHh&8=vZ@=;I z!NrM+BLv9QhK7a;73=J)JQ5(?%gdG3=6+Ct|9^+3SiW+;JUb`n*RNmeXTR)rY1>0V zQNMj9PkoV2Z8rk1yrjgd`Wy4T=J1am*RR(K_J(}8-STbhDeMc6A9Qb9u6m-T;gxQl zrkINOYqgtqapd3p{JbW^v+Yx&>%V7CFEiVNw{mVfnOu`@RebRW-kW42kJXJk z8=k8?Quzbit*tiIF8YZ26xl136~8lcL&k`STV%9$a!rOITw5(>gKD`7;4(nAu2Fyx zJWJ+#<3?rt`%TglEvAQfhBq?3u{Rp1asq^%*0)VY+`04E%45LhT|3f960n)xIW$a40RKtvz^`e z^z<~Ex0@3YX`N* zNK3oE@?b}3EQl!3>XgO%dw>9=qnn}E;=6XR1vof3fC67lgX)CNT}eR!en&2D?zlub z;0d(Jc&q~3dK#E);Zx*o_IrgI2GtB48VIVTWpbX|%2)ejAZ(x+L(obV_O zzC9R-K$6?SSp|dxap~vd?+}FGrrII+EGuhjZtfPM@#FwI8p-_5R(>C9TFOl6e%gG3&}Jf%#t3g&q(Xq zT3U!{2pD|K%m*8GmZqj!nwcem632c8ydwmI#6d<)tE#Gc@ZgM%%_#aeV19TdScCAh zkdP3VuyBorUAgMGVTg+7-rsnGB7~;+{61{BO1H_+fbK;8sR?E@R8HJ2@l^tPpQZ5o zw|t>t3W?h=Rp||y9)SoHN}y;k#@PKk$z5T$!uH301LopXFTLFP5}7D0Jlrr@`T{y` zg_|Jxz2buoyqXS}%NSA2Gk($!r zm7O|$8f6g9J__T|L$u*sz zy9>srrNKIBpwM_@d7=^O$m$EoGUILs;dHD0QRP4S{rkt37D?zC_<%$0JcOqpnpi;d zk!ynex;k8mt6RdMD z;tk{+`br>p{4Jl_P4C$*aa`W%S;C`7K!lM@ZmzCSWh(%)k-0RP5M2OQ#-P|f6v3>; z6?Gl1p$e*uui4+bp7P z?(XOgnYAGFfdM7ggtW=Q&0Q6+&8Kr1Z|UGcqUgX81a649Nl&IKxb6@vwr|`SEP!o_ zrDxJYQm9!V8cLwtvp|vtEUm648IDa#Qh*fI*LN-g*qwn>n*0N;goNe0P$s3Dt5OV# zsGJWUa@!BW=IUyK8Hd)vL0&<7$QL8kq!3(BoM?hfsBmehx_Sgi5X27_XMB8|ThZ+q zR0nh^XzM4m0Z>0IVD@9`aX{??)W0|?EorbbVAgaP7{URtcXDv(G93ohU~ex%w0>QI zMHLkr>CX?_7tx4tcw&TH4VVY<49iei{95hWfI>rTS{h%2O)Ta43UAWcd2p*P?$8V& zU>A^&EG)zv9m98=NR~#up?FCZrE}WE$l0o_P9o9iOv_V=%mkfwT6_`?6yADu;Sqpr9t<^;* zr;YhR<-HJ5cR`ZPPTqte8MS%0;Z8KEAPA{di5MIH27(#6W_96PtPJ#5xNQIiC$cfu z@D!sHf3{dz)%VhqAk87&d%G>dX9b>}n))_o8hohSx4q5i%M~p%D=cNT`bwFtmyxnOo5_FhKnM z)OSzwSx|ny1lq#ax08Vyk@M^w;1Sb`(DT2s_In?q8*2peMj-TMPEKJx=f5zhp>~Z< zu^TZF5fE$Z?F!(^?7esxc4Le-)Z3260$AF)-Vum^J1Nu%lJ0hr-tptp9%~?iTpI9~ zjV7UDY>{I08f#0N|Ni}h5GX)+`tDsyVq#)$&>~zoc8b~Ug)-nw4ku8;hYP~uiRQgS zf&u~>M~-Bcmp?pk6DtcXpjxu8%w1HAAVV)O2UUW`YLMvMH3==y2+1UkjbYa6q1n|{ zD|c;R)v~P`aJlelaHBm;ZljVk)YLWd;h~`dp>Lgsx5V439|vr~SbECsjG*bWm6hv= zoU>S&rb(Q%?j!Ctj2cKlXyF)}n1Q(&S%bSO*bQ5qp*BVQ#Q zw=Grs1&<151X6&jAbi22^jOt5EKv(t&gS0=to@*E(49+w^RF{r{*+t1lZ6FV-K-N2 z!?Ym}QChB;A{H)Py=wXXhAhKB_zQIIa-2MU8bG(FYPx1Wyc)eaz`%eUMv_pR5pde8plKkkL7G`gCAthg zN^`0EZ(tVTguZ?>kD{%$b>JZzbOay=(V=5Q1Mv{ePA!iVGcq&(07!0Gd7%e@xVF6H zXz}>h8E)+eDs_r_Dxq&BWCsEXf*>}LEW9gF-XtWhp)R8iOvDG+JrdaM{)Y}bO(7LD z3G&UG!a^U^d_x(BXX&eF{!uHpB_$`TA{zAMj-vzL%<0oD782T{pENQ$%FM>LM_hamyklQ08wBtT!F1YBm7?DCd6Rn10i+E6#rPZl^2_5Z~d`jc2jtSnF(U-`E{N=e0Tyc4Do^uh(zS# z>dNUdvhTnFKxDu&MVAqhvp;1TL<8)^gS%aQg6X0G*HN_IS5)9mFJ8FdIX|EnF$GBu zxlO%okB>K4@r3yJXQe66{ zJm&~nOh5$Kydev2To1thI?lD~3i2Jq66N!`&BE8OwFrpGdt^1)m!T1nshv81zIoII zQ!*TMVVIYIivY7!jq*IOhs`EbB_j6-g&I6oJHY_k4l{V=vPS18U^!ry!QbOW-vo4y71S0u1G~a^7X|!8WOxJm zGtlNMgEuyR2Ejq#!O^xr_+w%W?eFP2QE`&XjpFDbatYuB#fF3CRnfY1kPXU6Q| z=Jw;~&o?C{AQv?VP_TKGJhEXOk*s!a8r1x>{_oetQqKJQ3&~(d;~K$C;1hPf^!4ku zx;pTrq=FtmUoN-#r0oekb#=$>0aVc26U|cAVQ2(}AWL4+plFwJnOKX&%F7Xhl zr#*2#@Jk>*G;PreK>WJRD^wYuj1|O_LXcbqh>GF6ML-wm(nW8^v&ljxXi+k{`=%6^ z2H}{lF4l{7N}V0%O7x+z)PMaj&0! zw>G~)+F`!LO_v{E^5%`rQbTL2%V_N_rYwvQq#9r%ryZqY^d4-5h)s=Dc4lTx0*tJ6 zA?ep@$_dCU#wI4g`aX*zno6k*uIH=#-{{pR!QEJ38nHgd~|ur;t@cs2CegY6`i=fr|ZG z!hPMyXd`7K(2z8w#;n2{%@#=8vckfHL&oXl<=h+7rMbaK&%0Pzabw+ZP_(xfUG0|x zL0fTKa+MV<=XuNq!@CJ{2ucjm=lHf}gry$79Po-xJyQJq{Bx@4#x%3qe=RRJyy8~A zE`||qpiFQczzXQ79=XS=*sLJjaqVOpi!VWQ`E0sWBP^)8ptx zjLp3jH8L?l?`Kx!ulno`=HgNgNbG=Cr7S^ATioy4XFQNI78^tfLb9^E#OBb%!iSO% z48Kw!@C!K|o-T+_;bCFHre+`^6=(6n3*1MrKFnHgnF@a${NG-Hw{Pt)9$6%H_3$8n z904@Oq`dgCFm1S{lY6mz)B5H%d(iw?WckiaZ9aw8=z zE&s&}>M9%lTUgp)f%)O8S1(_#Av>7Swzjot5vU0S^j8?@VO1U+`J9oJMGQ3XO<;^P zPZ%6KHnaURojUHp0}6FstZbKf&!ru?w(xTt97!Mp$p#Yw`aY2B=o|JBY`b#L5(MXD zQyxEt$}1`)w1XiQ4W;$ecS5NurmpVjHp?n`4wVrOwr#JPosA=I-F1tupZOkSP0gv}2E{7YSb|1J0( ztDgj8k{QJxX}Gnc!vaJ9Z+*Z*9mmWZKBlJKC^&2q76jfK08rQ}drqVrPNT9zhaJtY zehvLS;081WH1{Z@XtExO7_GlLTSQcUpcLiiI(1~9ggCy3+Z*`{80!a;tacdD4kl>W z1<(1pbA8~bP_$v&x%)TPvmi_>;~R!90iKE0r6dzfwPA>kfm?141zTz+G}T-qYZ=`l zi>QIIsVO%HhqtdUqpf2?aj@MD+z z-MmRzyst}Ld$ge8P)*RJ}yI`Fo8MMeJt5+M6WL`K5!0HC0mM|3q5-3O0Y``HxzKhYBs zw_8A6eH)1l|2Rd#^=WuG)!CMlW@g@CSFmy5jsU=cs%HgDN)iDf!=3tSJ}D(V^fd$gmPfqNuXMfU7L4+(T%{PryxY52Et zsxs|SzTx8A0y;0pJB8uM(H8v{z%;b@(78@HJ}#b=;8VT9%EDr2ZH@CSTrd{0=mDbu z7`oGE&R|?DY*GrP0$>AsJ&6Py8Z5va{r%i?kyN4ew(uMS-shfw&viY_q0kKB0gjOs z=3nunTQUGdXbQtB=vwwjHrUhdFMF`BPjMS91*R+v*^*G z@Gf3`p1$g}9MVQ|{o>kepbQfW3)#cU&6j~Ppo18~0O^RIZJxdI7D)C)QB8TcWSC^G zQz?CUC7iTrG%@o>t>Dq7WB67I16fEjLl?!)LWVeeQn_ zP}%x*{q17j&RUk?J`wdH1?noQ6{eLApqyJmQ`+xjsgLZUtO5|3P1HY2TbXT4^ zNJB8gSU5lc@cqNPs3Ys&VXOtO6N6M3YF^J_GY8Dj)Fj=2_YZ%<;};hd*-3F2r*6fZ zgb@S~5=0+H-Qzw-ZC^(h1l1HY58Za#j0e^nW&q3$3x zVFnh*Z(#dHM>|L-Bl)4&s58NbvWB<@+v-1R>+b0ZiU9mcIHnz{sd#tfTY2WKL5_+_U8$!5SzL%@EXFQ*fLC7fEC!{ z=CAD=lMdS99RP(Ly}(Rdkbck`y9vQJ_v0{$#E1w&_f_I#;p5GOb{5!@;BS+(h(#xg zfjqD@o2yI0ijM>$NY(K_3#kWL$ZOuj$ePl@b70jseWTjTRpAk7UDdhtMK;L5Bav_e zZj~S>z;XGhxqIZ!%Yd;L^W%x1KwS#LX!fUbO`qvQV5d{HL=Hr~#ja1IE^DSz*(*+R z%Y9h>IG3-~@kw-4Y14Z_BFjQS!yly+<@fTV9-T^Qa{ zA_v()Nlp$K^jGaPB8k^6jQE6!*he#_v;t} zM#lJbCjsIib_C=$n0dU%KHLV#xe8AvBKFJ~w3tT-spMH6$)W$)gBPQX2~3l@W*Kpdi-z~Ks^ zt-#jsbk%TWJbU&5bq54+P*4!sO{hu&W*EuA2|A*}!rE3=0bsR(+ZC>gv0+^;QP{x- z0T~&$EMFlRyanc#LGi}#Y#2HK%imny#V`QG0#?yyqJbG>Alc%CC%}2=3UT%ZnlP-t zmNf*a&$z){vx9IRLc$=eZ^HdRg+$PepMI|2*wl3O(j`TxeNZicW1(okxdpIbYb!Kh zfny)Of4`1*0vLzeu}#KNAO4uh2bqK{Q1tfgN6%#xMX*ZA7~qA;174~ZLeEFi7B^Y; zii_hU7)rlEXp#y%43)*8*+5j+IHS1ki95!07`~WPgMh^mQcWgEK4`jeZI_srFMr@9 zqfsvyv5Sw#;0E#zJ~x)3$BAs9AJo;(OBK3sr-NoZp=&SYdEu#IW# z(SM|{1O|jj0`TF&g(FNK5Pi&A3O7-ZKyZ+20x!3uDw}F(jDV_yrw1_(KgfG1Xi#YJ zI^8E4?twMI=}upJd*PAA=p$H1*lJKyc9MgS31UK7o|%~eL$^y^Jpf9ACKGlySX!XO zu-}kE`g?ns$?rjCbNnWxTa9KI!?ag0kzTn5o{=DkLnm-2c#TM^z-guSc6Ptk{#*$b z!1xB*p0U|kJ*E#h=zvKJyh5mNdKQu}#@KN(5{y2m(-Oq-ywXx8a-uQg=~JA+MNb%h z=a~}`0VwH@F3iz!ua+ZFGJ0H89CU9_o;;zW3=xPxgyPHw%xp8WZZ}oGuN_G-hNJYHdI>{aH7CTw?j3r?Rp#iYf+z<^x=d>^;x#2AjZ>Qi$a zBObj`y@{;bI)T|p&_^)za0d$j-QbL(bVZPiFj??jL+XGN5QiCM(4_8IrTRx~F~P>; zjH-$1ATqS>;5C5KQPdzPB0Yfea_Prj#9pJ-s=L2iuX-%eAWI(3eN$6pin#F&064@Y zvN*U9CM_IVgGzt{mq4g*$cB~y(c;vMP1GSc0T3gAQPnhom;fIcv1Z~*(no>)j)#Qt z4Qg~j*2is|1=YHzy6?glQZ$-rbmRAOl9Ov1yFAzn+kjO1$h)UcBW*2yrI<)vJofo% zgwV;FK*D~-eVnW!7wyBo(j97V3BR$h)uJpg`>xTbiqYM(8+h8(RKc_P#gFM}#~nc= zv@Qd`F+EO$G9w~bAkEc z1B56ANdcy(5b-3{K-bnO@DSib^oQOMhDL=dj^&8{bWlzX@Dv-l=Jkay1oB|$?M6ne zXt@ye7(oIEqbCWxzxU=TlIjF;bCi5P$iiSMVWuV}0sV|{L~pcc5Bi!|FVH$vY%p6% z;-1m1JZ~qSZv`hCWVc{hP7j4C7Jzr`N+-uw zFAzJlfKveUfC%Ry!5UjiCF=uuPy6_x@E~-cpOBD1&IZmHy@ks?f+x?(R)z~lqDeyi zx}HTK{}=f=3a4M;prfp;tjI_`507HF1T5S^6dVu}qZU7RqaiCtMm zOmdIi*wOJ(Yqhnvg9#z{9wP|^{~j1vt)R0{i23C~V7H!MQWu+fR8oW;Zv~zkhaUO(D1!UDef#X2%biH5P!FF3hpKL)4x=t$ zZiN2;JzL}jXJ$1qB_v^ExIlFmy0tg_i`{we<>j5Q$avFcG@@S{fP{u(7bv($ilkG&2gz zJoSPnQHtX(4njh^w%{fx&A%rD$NeE)*oT+hlG5U74QltAGLo-QazhU=<} zORP>tp}GPrKT$g4E{8T|Q4|m_E8Hgr>hC_p0U(X`(&$fn+c{@-lr&S&9X!MthwGC@ zKWl34>^dMtM^r96JbvTP|D_KAwKFgiHO@i^1rv0A_y9BWJ!&~Oft|PU1o+IU6+|qA z@j5f>4Od?7I#MXPdAEflb zPt;gLJ{sFbT*5UxTE0wA3Ma~&iNb8M+BsR*lP5ck^hl~ z0Bp4*uArL0tpLNIGr-|ki;EKz_6p=~U%k{f=V6+HidbtZVa;(Jhd5A=fnP<}{T@dJ zFycfap?kV84@1?jb3T#PPW0N%_+Ypn!-gNUF@J%hm_E{wLzh5|fH4B}#2x-!SusFP zzPVZeqtRV!91q#v{_98QfsOm9AThTe#v&_S1A~v+ICon6gI6ucb=2*VxyPw6%}(>X z1D1lo1&BsL!9If-XT((qv3`Zt08R&RFxY=MEaf6>rt@r$|$%VhRXntRO{= zwR%Bz%zE~0q`3^DHJ&;$vdHThGSXZYL4^J$Go~F;5673CFsV;eYu>+q5(Ks+8HE$r z&JhFI(AZ#<0l^5p3WL6QSIDv$mm^89stRy%VKR_$-Az2A5yos-9LAlAd)QnjKs?#wxGP#G=of;vu5`ycaKAuV05v7&Dd_grhg! za*tqz>RZW*nwm$IN~KJpfn;fpPzjBc%4$MF zRwEi@DbuPbL<7q7d)=-5?BUq^*!%D8c#iM0mQ{Q{pZop3hVwkH^CD02zhD_l4US7o zx-&usK0rwdNysIlav_vb(3)+iv;ncotJiiK)?2=jvVqzoy-ulVUxPOD;QSU2!|mHU z+}z5^$Z8=8=gv7MI~B`{_ioq_#9Sv2AAVm|g>%Rh()h)B-)L+pqPEpV#tj)0;!bBz-QXbUKS_EV)6U23PQf9d zOMhnGiTImgm%ZCq>Qc{$&Q=+3akhTf_v?XFs07%7onvT)QstFujlT){@TzOVj zrgeEBN;Rep{^CmS+c(Y1N;1TqU`Vkh2s%2y1;Q0l+4`JFgX4FQ_aRC#O$H*V_`?AN zwF6;SQ$NlHog8{ty2(OZ?J$2BA3($EvUqU^#tgf;R5djesZA z9b>+tu<+`YD@skvC_U(QX#n+OXa%f}S_~bUOsETgGI`6E8^OUjh+N>zQpuA*C7xyXXnw~j-^RiP{&df~T=D$E?=Z*Dwd8hUdv}{^YwK(uu z+r%3sk^$w%W@pWve5RoIu3dxTKI@mAp|QQ(Ga4B7M<@1tlG~b?B@y|vj^|za$6@oY zZBH~ByMIe?lDo4?MQ-;7v(=eCr|N1|XPWNv^*j|6`!r9}w-i5zLn<%swIxr_4Ywbp zVy;`bbIS?O*!^ZDc~`^#6&@ry@A5sDHTrSHgz8;?zs||M>s2~FUo+~ALBxWavvMYf zb^CRCv}AyVZ-K=}&8EAfdhE$?O=`Cq-bGGYGC*xQ_&Z|?bi4ofdybB`yeh2l zdo@3l$ZQl80K;s<4*v@8y_IhQF%q%pL@&2T&#qk;YCxx8^Al@deW$HB(gw${8h*V2~m+pwgmc7)S9T!Y35b#9~oJ| z1s-C1mMn~)32<2KJ>zZb)?MaBl7N_U+up6S^kNN-17VuFm{#1pqvZ@&m7>GsG)nF@ zrRhu|IWug7;u0(74I4LZZ)+Jn%tAWxVP_)7iJBLKi_P=71QlvQJ2!c6-Yg-YKQ5Mn z-=clVo2)1=A87EP>|`h(fnXtuTaJC8h`=lKP6B9Whefy73iDmt#sqr+bC$;Gi(PLjf=Ev-{In6ABDMZF=1nV+I$K*Obdu2p^B9vV8ExR&whVM9W@`Cy5FqKP?Zn9it=1NylLABCmM+5%Vq6F zU9;fRSlMNYp<3XSF=NLj6xD#0B{lTuG&X9l8;W@+KnPic5|Fl`a_(e>YzPlRnoWWu zb6_TZ9lmNEK$I{dh|};|9kt*_ZELM1`Ml4l#bL3ylZ$oyEmV<9$FFzrM0z{?7JICeXh1BWga$+?v63CNteD~dtyv&@*EG+ zqN1u6?&>Ig{RU4}I`T4_w-qb)kW-3^W}~fWFXNH`CvY*jm0+K0Ep!XO-&t9fa3m<9 zl=u4SKS@eXo;q_T1b!V#M?O^iVE4Pb;Ksm+E;T(L00*;iyjIViAWe|*X;dzN>2$B~ zA_M`(!)QOa?sP0%Qf|9$)X&;CV-&La-bfTMC~kKvO7 zr3c?kF)u4TulY_{KI||hHS8j#Ni+6|#!;YIXvvsF?5?D=W81dm3m38*cv)0myc5tx zfY;OrLhEr5IN~Whhd8AAyU44ekRq{xG*Ya?eAn03rro>=k3AmYIS^okd54^!$2d}Z za~a7RhK)K(?U)h1&G7AzqoJ&P`#dlV4K)??Eh#1pwJ`S@lHJ!AFmUXrKYClFl$yofLaI< z;LC#Ry&Uv<6>lHfi^KVoI+1U31{&n3P5HlmA?~~h2A|Rs@YA$$c5bF`z`SFNJ4JTj z&N8|KVvxQ9<5xOS`2dreJId%IWMyT?$4oRet*x%!vp}8<07_oU%l+q{)gbAvQ_w|$ zDFfWVqGF6%UsE%6KqOwGqZL-KS!2jO=-by_UkynBb867<^r$uiHc))4g@Eg=MZ+^~ z+Ijk$jEva)C1Qfe&#xHA{QL((iTT`#G|`Zd;J7=GJds2Zdqm27`Ie5*NpJ%b@Kc*j zoVeKww+5<3i%0i)Pyg8>Z@04d!WRybfQ!bw3xuG%Bj>tm zzC3zCFfBM;GzjZZGSI>F*)M8Xkp}%|tbz9_?^I^~c=TkVp@Vxd*ev0*eKKRttjR{#FA@WE0U$ak1^Re*fjvT0N6%(D_)WH^x#uJ?TD;F&CE ztZ8>AL-;dK7_Rj8?sbYuRn4O^K=kyI?mlpjf;Qk-b_(?`N20k?Y30fqtz9hvRp;na z2u08z4TggUcR4D<`=Ifzxc1*D zm(TE6@rFVd)Fyq~>WS1|x0LJwj@+*pkA!bwV5%XV=}RmWG#2%%?D_M@Yu7h3at?Be zqRn>9rDSn--pZ-utF}-G%EEtc@4kKat0;hJDyj-I;Q-xCqW=^Lp6nE0%8JEur0}c- zzw*vXC}ble)&|o1!ze1>Zt7HqX+saEFw$Z(;1WKiO-iC8`cW+O`DsY_Jk)NG^A@Tn zUAh!pD3~G=3(eNVba81gOrhF+H+`aRTy#lUSq9@Ej4lx!6tXGwmtq}Lf78j;HNw3Z zlAWGKF&k+mV0awetX)XE^s7k!_+y}7N}BtU+wc_<;*ghR zr<5`3C5Rrat^qVlAYXQGUcN-WDra;vm6s|dAcS7KX3fJTSCK0pI&G4U-MZigFiLl2 zGoX=(L<5}^pl#AJVMG@KO#PQHd9Q~?+75!nI z_UC|PY{>fO==!Chiv+=cTEhJU{RCxA&2>wb>~8Ioa%J3E2fg8aF5of3ga*DJ0AdK2 z1TR7a5q@Fg?R9U*Lu?%Q2PGtxX62O-vp3A&Nd~ZKpo={-n!<=K&zB6uky$_&O#Jg& z8HBrX%uF(&NOR)Z+2F0~pg6(Agn?hAFsl$9QW>al&N#;D;0*1e^d1x{aW(EnD}{A;SigZ@_l4I8~z(fRR8)@y;~D zo%D1U5)rOH!t;Ux9m0WX*v>Gr)Q0{BzlGOjoF(_IO+%qS80dUKVFgW7P%zrSKxIoz zPkJMMmV{Y}IJST-U_=hh{ys_4Hv|1SC zpl_v&W-s}rIJd1SW03`%s@aA!{f^QHh&}@*UYS{0?zN5<$G(!PhJ0vX&VW#d+JN&0 zZb`x5G;H&l9otym!9U|sNGuEsdyJa?)fLwWb-BRVe|Fqf*|%qp|I@Lc4?fya`Mvt| zK`23xRmuDM3hSa3KSv^cCt??eZ@u>iun)xxMG9{^E-|Or1i>0V84;RDD9+sC^;Ab! z7ujF#J6EnL%HM0Q7-Y16o>J{r;8` ztr5XQ;L$h$_@=bDq#+&w!mUb#tboH`G3CrNPnZn=W#;!kCMopPU)K|iymnNV&@49# zzd0=b!O{xNUwiz*meGU-ZU&=gnvV14QFQqD_~h0ZckKK3E&9e2C-#M=xLl;1ipWug zn>=8mu?+zcmjz+!I875%)385^Cr+jt}{(kZVgG3w7uXBO~R^CPpaL9l`Am6+J4!)1i|Q4_n8CiJZk?JVk?NM{5o8uhZ=&h^1RZkFmG4;}+dY5C3WDhg z9+%*@#!$M_-lqrtKwuj#qX6hOAPN?RD-(BahdCXj(zV`b_PlwFR)}-Q6a*|xA~RU{ zWs`W5_9Gm9`RbL}Gw#p1ufGQWp(O@CfdbopevHM`j(SEMtdt3o82gcgP z8wtVdv<8w#`blMFa3gKnz9j~5FLX-qhDHnqGaHirI*L~rY!#6Eh)PVHR6RZ>k6}a| z9SPmr5V3+kO&cXya`H;rn&JhmKYvE%FX5n3GENvbF01|wDB-<(+)kKZ+8k?p`!CPq zt<^$OU4|z;yK?d31O4GZFhUAKQr##PcW@PI!8+)nzzP9eJk{pTpHGE90Y4b*JNE9u~>(PnQZl5!NWtchqs{;DBk+AY>+AHuDo58UUIZ+;hcphIct+$VVu7 z&PVzqme%MTw+s0^BQ84`SqH*bk@}zsXNrDjJ3>>gAamPf(xpoi_!R2bFs(R!kP2-M zpUxT}69X0rBcN=m@7@(Lf0j3JK+p1l8g`Se=!RDSM*G}aU-Pu0>vYYk(59O zTT@+)Yqe6YAN9^&o2zMQZ8eFparbueyh&*E*n?E^DNSy@9ew;Ue_s%&>ch&+3=ICH zwE6ap9(%!*DIdXDy&40tq2VBW*K2!!)U~`k+}&l-qW<0!ATQ}ab0#E^3$v5O*$-e^ zR7JUs$H<>F5Y!G>i;Pep8j>+7dC*h&-(-vj6Mfd6um^1c95&1}d?uhs@g_X3jn>&; z1qT;0`Su3m1$Q#zWe5A7=CX6XcPv-`g`#01C`octfkL!Ds`dMQ8b9!Y$ zD2yJz9k{Y-+y*KmBzg3!D0CXfH6jG0uL2}~@#YP3uiH!V|0MYkntZPsG&a?^suJzA zW^d*Lt<3oflSj4$h~VKMKlrhapNcfudCr`=+FEoTl*wcwkmu03P2@7XF{p%4r$o%t zK+sRcL0Y+_2?!6b#PD0RyhWa+H2N zI{6HYFxx!d7|AoBPa_S&9-7{v1syn$WR1;bl~^d^dnH`q ziR__>jn%q5R1lUdTV{1Bh(aJR(2BqvCVKj-_J_qqKTH{9r8=oJT0&J~#JsE0W!v{J zx+HnnOIk7uB;u1Z(z;oww!n`E4`zml;W)|Vb!2FeKDzejYm+$2Lx=7)3)O&hLK2WAH*J%QSQ_M@}zp< z-PXp;!l_*JLupd~RhYi*o35(r>%4_>$L-F6g#la@Y_XpyeCEYly+zo(Q}Ur>!{Gq;V&~?ep;tyf6QT06 z62Fml<+2_R9sdLG|CIR;sMlU8h<`~=`v3fm77w>nmzIzED-6~1G+Sf4w5@B8g2Cf~KanU3yFDo5An7aoeDPkHCj9FLughoW`7uVk>(c_H5t8a`ji z=qM_yq*U)v+~4fFx|cFFvtU7xU!yAc^N1qCb+zdN8afaiWq!>G2Jihvb<{`ys!2%zg< zw)E$0j(#6i)ln`fr^8jsa{j8Bua$Cgt(B8d&YOKHTUA zDw$f=+R;#9y<^91aBZfJ06cgXf4k|^JRg{**%+$5vV6bA?AhYhCy+`WM6IU_N4l*< zEl;l%5juEKf=%Dk~!&v$OkBC-R}^(nxjXJ8;4W?$infJFYn={*J~P> zG&g&P+onxp_UDk%fq(CR`GH#i;G2AK;k$Q=8P?`Tp$(gEF%KB+B11q7l%+hUd=6cS z2W48P64iu&ck4>#0gaP^RS~@+@N_E5Ekq0ryV`bPXD#uK5oSi`uE_%SqA&si_Vf4! zQGo3P;hJF*A2(1?MkqSAncZ2&Y2oo(*>hha3H+!^T6Qk>dAwK$$%=#ko(CD;@RfYf z(qnn)>$6m#BSv)3eGt$)9p{!YW1`OVcUKcv5M`Xmnw1aFAP%Re=FzExtm0ZjywhLe z|*Qc)~;WlXXcsvq{0PTOa{B&WYmnMUiX`Ft@lx^sj;xO_AH%vmjOhy zXv9Xc75Ipl&nm>-S>zZL#Q#wU3ZcFTHYv_xy9ftkVrIlUfO_$> zY2bITeG3Mg%94$5&mTXo1#6}xq2R8=yjx8TRmSeznTixW^ifh%8gX|+#wrsO$)FM@ zHryEZY#Hz{DA(dtq6mx}a`yu>#AyYd9JM|u3&wt;S3Icj`Hh0;|AYo0)Iyu`nt~;f z9R{%;BNyBlPRnrZ+H7m-`{L2_fqzg|*56P`25jihY|3)3KGh1( zpHB{yjNXr?h0{zz*WZYq0O1}N(_1%Cv{A;H1?M&gTAYzXxNM-Z3+O)F*f2JCTo zu0BiIqqkx6W>Nc3iN&ABaa9oPbc+~+15`CPcbzk*_xgAfem%wjK<`-YP_Ue&ss}9P zub`4(4uzMDpdhX^iiefpNO8i$igVcn2?`*8EE_yvhQl$`2ogf^n>SfS{5{G#mPjpG zV>lpE&b({5`!P^Y#>CJjI?S2UHu|B<*Duz(QQ)s*jW~m+Yz6=*qpqP{zi(lphRwTN zb_xX@(LURYDupZPgRovk03N`Uk9bQe`2Ou1R844S$M+(8rcbDQ82`-7bVJ{hodR}3 zCqZyMV9F9&s2NPsd{(VnH<1$kSU6d=>V~giL6iz{cR0R*ai?S5@q!f5rO7ABt8h)_ zquctliYS)`%9F+T>~?%+;SVc|eDE*u%=}=S!Xihw8XtwhA)wAazdG7?sO;^9`Kvvj zGD7#U>jG#Nqlv27DWD2CJslt;3>iBDh(+*1>$IU0vDx|Gpjv1m3RC)DYC^S;C+rh5 zHe#tF?Ud(lvBAemwGfIbuK4p6hH6uoGg+7sKr1LIG!YX`O~q}0E$;PHS1nf{SpgK> zpFoo)Iwq@yj6QD1$44Sn$Oasc5EvQAsj3<)%Efq$992#+;KFi!HJ|}{gI@B3@g>Ck zR8LRN_(H5GgmqwZq`QlS1?in(&n*3mH*OrU&_-Z_>ZG_B?`}cM&)eI{%F2UL4z-Z} zratd*^sSPPDasd)D9z|8Y$6P**SWV+bBa zrqpxA>_0}1>?pqAjr)&q5p5$K36U3FPt|rQ7%FH7rW7yJwG#x)+rRf*yj|{rmV%wF z=C6&~k+u%9!tM14R0MiRf2O+8da#oXYhsqChTU0Fa2ohB#br1rQ;I^I3sYNH2XBiK z1b`0|zN@fe{dx>P=#UbjkK~sEY3p|(Dy9Ca0Q6(3gNwOvoYId5YNj44DuMG(J0{bt z@hS5v;kwv&y=l|$rjtM3YleycIDmoRanb^M=$#ySFZGg_FX6Hc*BuXg8C^CKZpzhTtX_qJtV1-;OVFOy)<0dDP1OK3QA>H8m~+z zF>@WZSoE73%UhBK@ezH1%KqPjILmcUhxOa#cXHi(6KiNkc$^jWb%TAuuSn~ z>$i9l%K`0Da+xWa=i-vt`e**X6z{}ChR)$-KyOxj0EA&JFMo1A?OSo4H&>P+yUm-s z2=KF63t_(9)nwN8)!^ArB0_zD2k7>}!QOuT8aw)pKmYVtx|G*=meJt>k+8UVlgYD8 zqGKAmhnI2ULPYPsYy4vnJctw4H*Y$#O>$-; zNYXSM%*DiFm^y~v^{VQG;8XDzVZFkqp$Niv4r2X??#QM zU#efexSsdu(PpM05a)^7e0?3i0nop6g111}AdmR@JeIuNsWWEuR#rA)28EZ2iq&C8 z5HeZ@PW6t9#$XjMXyf+ZRRk8YJRXKS$D21l=_cq8d)lt-d8e7oC&EgX#N`RK7s`1> zolaLht@Rba7Q~f{iE@4^xyyK+SHALsWCczh*d*ptN{V%{r?gN^BJtor!J_!ux#4s? z5iB2Cuv7m%PmQ(pLe$}~yti;&)%PY6OjuUg> zwn=KUw?k28Wcl)*T3U>=e57*1F6_~x)@^%f3rS|NOxIHN*DB7{DD)?(GBv}PNb4rc zV0{hM3}fR!%CC+NiuDd|iK((;KQ9R@3OBa@=FQ1gda!6LFd5Elolg3xIRr{A7dwpDLYf#Uel+zfCs@fiPg|5B=tF)~6}iHwt;wrtMMfB2K&vhYP1e%Cv7l2-;q zqM=%|ZXJ7CAxj%ucoFm_5P`kqb2yeou6<>BlWHL`<2HpXVs>RX*z2<=Pl9)K6$G5- zxa@7=RWDnLWc3lXfk{v-_;$Bqh>TBlNcw})(l-8~CDWW-f%a+eV1_-tc#8|S;sdmx zbV#!&6C6kgzb3}+LOfZ!G-p--@GAbQjY~~U=iDS_aZ-kDk{Resd%c_@u@I?CHQj>TyJ@I-F!!G3(b}Ju_L&yRu|Ea2Y#+DNl@eIB%ia#;#rMDz4Pb_%H8eF91^)}m`Ae<>PLjSvbR)hRsl@7m4lYV$d#+AODmYNKkA@ z25P8hj~|z^qZYcSxf!;Y`eCH^deJn6{Lt`5A$k*Zw@BqRYwPGV5@A3!=sc2wmb!N2 zd8Ed<%;pj;TJ&Uz0XYrF5=Ge|zB^S7XJ%hjQB~zaP_Lmgh1(0*B0)=y5QX-m^h{t3 zSpAVBeTW0ZZ1@GLe-sOMcecKQOG63{ti>td4{1eRxVNRe@-ZHM>fw_IsmvQbm)yum zE=?Qb-Bj4IkZk{~&#+W#BNY=!(NswYRBjBN%*BFu*|H;`R`9dHM}77)cCDhJagkzT zNQ|ghD=I?y|2J$;dO!0`FYIVAXdxiC{AdvvS%D=aLD91y2w?8;JlX<+K6n7{7KWCI z4IrvWTT^H(ks})xgp!HDMjA!NRT!CYQ&C!k|ojyzM~LRQdC@wtrvq8g9Z-#MogxryYI~Pu9!}s7v;$y+M?JQJpD+fMxiLtd67EQdYrDYvAC<@ zrVV?r%|OddO{3q=(goC-e8w^dmKSRmDtpQfD#N0Jf&d+SbAM0gWP(TDaFvz}MVYAM zB;TpdvxLtB>3~$^;G>1GL?m_Kz)S!H67@P)b^uY^)$>m2Q}}gcMcnEI0TzHYBH*hc zu8%Vhl{Gyl>sFw`ncHfH$ zA@1B7NI0$o^CuWI%uDy;h#lO$Tl(;{oK0NDQ=s2YPNMSJWCR;$P|m^pv38Fi&1~t@ zCr?HU8^%9Cn!hS6JYl-+DieMl9+lV>5JDQCHgYV9#{u~p(G6uic~VzX(^b$PJC@?9 z4t+7x8bTcM4Tj|Kc@+G~g1Gjtzj$@9t}fn~j9)R<$7{|LZ71^hRG$QD8 zC@NSn+x>}VL@h)35uswNJ>gab%;hL-8z#Z)BOxt29lLJgVaul zVGy;aqS#IVgJ_Uc|7iL!XR?3HkFbiALF(`9G1@}Bj_7>>g0o8c%z zySlt@lAW>%c-y?G^!_cQ{=Wdd|2O3K|Nq~(r_LAy?NtR(LL;SFMp7+E z2`e>jFpECBjfEVj1lmuILmvAmKmVtJs|SPQ6p!Gq5! z$Qmrh$J7%9Xb0^nVOyQg20ZiG4djT)WJ|Y;aa>OjLA4NK8kGPMnb1%vS%#??%K;t? zg}Y-Kt?h6CBPpLeJE7BG-M`P0i*Bc;O`Y1GpYdquT`*lClhV7hO9i{l_vLuBpFE6T zVXbGO1xAAe=ZT|+05y?hR;;n`UEj8Hy2NoifT>NJI^7>*z)J7fStxJS)@k;ZZka?j z_JpCA5$Z62 zQ1Zo{1 zLu`LCq9xnDzxt)xgB>ZGHVsski`}|y_UtHnBiA+MwYbQ2JHKjT5JN9CpgPw_SMCTB z2OP{dTjH=VZQ4FgEO3zFQOaRZ8z4-m>?qqoRH=f6qvN0aXOIU08Ec@ zgZk_ri&#sfO6Q;!Cbv+(r=&Evj@p0_fS!iZ9EPCD%f&&Yiv7977*gQN{TGELG8M{A z;vo-=S50lj2}n5z#sV#i)OGdhKd4QQ9dqG|U@Ao`19=Cj1?U!)PsKhJF(Pdb7qGm+ zBC!bi9uS6wlw>RjUY;@%)8A7efy-V)88a8oDJm^pNKK}uIAc1`lRYUkVmywHV%ss` zX9o`|_v^=dJC7xjD?2+7Nt{57w8VfD*3jq)Foc5^f3FqfmtVWb#shUD)f{T+QA36p z>+4$#h!l0D(1oJB5Bcq=5hEz_diCfbdgxCyEhEcuZQv!+pCfQY27dY6IU~#KsHm-Z z=A3BAsxSOBdI4Nb1QWLC(%SOT07P-gOwNjPR7_Jnq@Fzm;*Pcq8|ryP7{Jm%aq!tNtPl81bps(=@a7HHyHH|am{AbUvu4F( zq&8j1P62zRfTR~-ES49ekj?vgnv*ja)>eReWK0H-7MPRUz!hmY5B?DlAc07j`8Og5 zOLi^4^kq004G{zdHa*Y>shhjbrFt8G=QA|Bw6v%RfkB}NB*`<5>$A2N>k4EMYi6W) zKpP+;Ic}j%C{AhZ9UK~(n2^vzPMU+AbW?1seixr1R{zoukYrgTyuZ0C6G-*OLRSR^ zX@OL2^}`_ALG-&KMvfdgl2gW@r&o=YOiM zW-^0FNBmb6yzq7BmleMSXOf2?g)iVxbD|O20Pj%g6Hz}wNCO|Z8FBCUB}fdw@=0O1 zawujq^1^r|5e6)fvC5zY@@R*#4FgA!I76Y&Q=-48eFmNu-HRJG&}UPcK@P;9Z{W%y z3rEfR78NGC#6&f9U6PNnAhZpgn9IaD>T|3hDjLGvU6_U^<{^S^dxYS2+&F}^bRFWH zqgn_;UH}&gC&pOl($LRdTKE^{+I*%7K#`yb=x?6n=hKN2$0%;b8W~~5%L1!tmc-Q> zj#dD5Q)iG9V3A=;_%(M_pp4%wTuU0;1eD9if|#Bn7h^}t*aK~Nn!C)K$Jj1d0kQDW zg9p-|zWH^wZ{;AuH8O_xpLYDWggD9R6Alf89X@1g0r(mB0nbNc=f9Ij#*zgPGcZ58 zeGzj<*F_U2l#`Jg&Jp(r73eJaka+tGZmh}D7xOa>R(gi5v-8ml7go~K;Nl{RqDjDQ$aS?g}}a0hf#=FUyErf{=2b(}Hul z*fNHSizS0(#X!5RbdNhzn3@3={&~Nd0rqS2xG6J880>3AmQCPB0N|!35(@-gm*FIQ zX~_zn0E#EC@&|R|8Xg2udU`9+x7+FBLEuHlEcjy_@T;{|9N4!V#95ZkP5~HTbgE02 zU<#4cr``E1D1(_<2B%c8vR>KvPoTwv9-n>EP9m4L#nKLh6yVf&11$dv8*z=}L zk)4dCipz~P^XNDTI*eM*j5d+T=INk$nCRQ$z#fGGk-KOuz&^r(^ooi3*oun|eq zN}iTlNS5LS6fjNGz}LiPQI&muQUdjiY~FOA-t}41Pj&;oke~H6ZdF(9k|OYBCj{{E zi}VmAhdGzB@~)cZN1Dy&mz1*gS=U1_sju%)-QP;BBnY7V_D5yP_sAt6goo7#nl8l! z1$J*RAqZ+7v^~oWxnITqSXs(ur(jOB;vUC`-DFY%q`&$Rl|zEpN+DaHqN{D>keSiw zTUj%ZokG>RX~Tw8^XYuV#cl9B=CmT3j5SSR$^=plci{c|McI)49Y`HJUF+Llpj;~s z2Dz)%9>CQjSZNujCUZ8^#n@ku7+EMG#NEy=FOQ>i#O_eS>w&XQRes6Aua0$vI z2Gh6uWY0r18{$q+EiEb0r$@9)c10igsScZEPp;jv#b_j9N`b+6&XDXVyXpZ_?LG~= z+}NBzWNz?5$l3CCT*_4peErOKy!#nwEz1mk-rx6yDE|A*|9l7WC zjhMB3HiyWQ^n;e2(-C<2Nu*)?s+X5jH$^z-*I=wQk5&qQELg}IXrMbAdzU&;6gW< zCWdZGs%P3;(e;uocsv?TCR*AM~?gajeJ z6*o%Cw%Ypo5RU;dGr`<`re9wnDV7&pb2c^Gi$|?V^n5kRz2@9cK3KAfM}{~@N+|!L zwM=xAA=A0Wj67&N=>9ADvRbxsm^L*xi;y9OK4l&zJAQ4AQv|U8#Y_!{g<+1@{Y4h9 zJnWw}Z$3wW5U}h$EzO&c!`s`?(4~As@t2O!;L>;RPMtU*f7n+U!5sJ+!|^Cyh=l(H z@l(nE4Ra3o>_Tg>03pT@h3A?d|NR$cruT1a^g+x!VBENDIP^jB-5ug!ESxn%OQGKR z;^QwnH6X;@Q;Pe{180<~;dK$4gqZVXqLtR>dHo)#A?fM!Hb_D%f~Qd9!RDbW2_5x) zIS!UM^nU{>^Yg5*J88shBti-vMq6)ZOIs}Xc$%UL3!#Ok=H;X$lcpZxc*^y3zelS< zABq`xfFDQIS^E6B_Q;WnOC`7PE+$+Kbw(sHDvy+dTa)R!NME{qPX>Sq}0R~KUC15abl%p8{xu8wnBF>&YcK95krkP@iYKsjTN zU4-}pu_YCw1^`ZNd=p$+Sa{zfRZT%=M~uXp37b-wm&HV5^twwTzQbGZSQE_HE$tvn z*Qr41$q3D0w^KZ2Di^$WE!nvT*-v&s`;|4)*tt#DR@R*8`%u%x*;#hSauf9#b~qtW zf3h%u5Aa*62?z(Xq)TJ-uvcPW+4*mGW?BfuV1&ps+dn6OJI0`G#7=J3EcfNh^WLqj zjL4i-3$yL_{s7MbH58vL=DKo-mmWO|TI{Lu1wH84n?8y5367-x4y_$u`aXZ~)oho& z_V)u4X9o_LH0kV{1i5{2hLd_oU)kqo?a*sYagQ!G`}`O6>h-`XaD{2UXS-*xS8 z_2{uBLo=c?>r>X#r;DlRUcL-| zhx|J3kuu3uL$UeVC!NF7VoY>#;_KMd8i<|(wT|i7vAt*hk`O4V84W1L0rk|Wch1f0 z;;8yW`Rn=fTv^}!D<*b_#%D2S)575TgWJX0 z&!^Nr0L4QQ6AE}vJk!*k;rjY3{TD}fo_A0ZGOHR_cow~UiNopS&`iii+a03~RHg=MbsDNzJgcBL8l`=uXMR zDzpfjU2L#7GP;qTUYwKjp6roS5_^OOgGb8G?v;CdT7pQ^0FAu48XOtf2ys{)MSDVB zHi3qL{db~}^0Lw3!S9LJWxYqk;29kEMRcwwLGmHd9iG{0kXm9hWs1lz{2H&Ye_5p~ ztq128B(ypPpndYBN$uSeJIV^@O9;TIfN20Wpn-o3Glbr`e`$N!#@d1Z@|(eV$YNz3 zeby!Pke-g<6Q(456z^#0;)aERtV2T_V z@^Lg75zJxc@C`}p;0S!beds=B%qGT|jF!2zE%-Tc=~!g%*O&qEru9kMBPF1A0#;So z`+#Z<7N-T@4+@EBdKq?}(8@wukUg14esur70m-g)hRGZv_N1Hjnbu3#64&zcCkEW) zk@9z%Jd@&YJOD}I^1{DP(;om#xVbSVZM>stO}Z0h=qv;_ROLX^dcKqgGia`v`{8J^ z(-0|UP>}WH$sb5ujIuZlVl^Z z54d_&bROV*V!K#@?uO=t29hX%3^qpA?FKZr}R8ypBvB4`;fIO6osyG*1j9L0U5F@4xr0^E8GX z_`NReB{&i8gGLqvma?A0KVZnG`5Z(sb1hntv)f|?Uc7vA%o2QWTo&SokXT4UOQ z=SLcdm4cAgO;bao_R}Y;m;F-CgJnnwAD+eH5od{sRl3&36)WUk$*SyiVuGA;yYb^W zt)Je%zs_iCS_!HTBr^BofQ=~1X%6BYBtN!O>>ype$ECFJLjjn|=tQBi@W(ZGUy`VAI@S;h0ls2C&#el52kE^D~28vrvW zkZVCz#BuP_yME)w1sA*K6v2$ z{_oz(v~vWlIFcBEU2)o}cxB*&KhuTycs!zzo3K+E?2q#Wf>%+?@wm>qf$VH{em()| z5YT6DrpbhRgl^!4B7cDRTQUAA8Rp>@^Z$G(D()h9wq$Y z_Xq5Gcv^6)LbB6&B$aV-ZYV_f@tK(x;BPdrt2XWtK>fMt1841h{)#N3*dBU2xhgV*>-Y(rp;EXhtv`8+GJJ z2OK#VFJXM;XEm6{AuLVN($rjhW6kkPmqrXfl%a(D8A97@?vwlXDRIzMzNIF}u9$n# zCF}lu(b7oTl1NPCDz_3$(>B0&rv+_TxiXo6L*LAt4-OGWj?6{B7;NRfWC_@@m=yU0 zadn$INQEdA5|T?wrieynOpLuv00jgBDy4v@vFfqchNDRqCs|p3-bsE+Us(;RW1{i2 zprD7DgY;4iP?^6YgW>W@F==rr2xKpQODJnNA3qM8JB%)12ZPm2?36DR2Ralzmo5!H zcfcy1(8}$dNu492vESJ&1-VDvh^Nyr7DkqqQiGSid?`+1KYJDt-dF9Ip?{+*LKO zS6EGEt&IMEUn>P7ocI;>Ki|>+fBaU}sB)MhvNX&qUm!nGP?p}iXHUwtYyW`S zez#}W5R>&=7&PG8y42u&F{qHg#Uy%1(9>Gx;26&xTjR<_r5U4%q2O&#SP9KfZn_C_ z!MWm5>?&}^jEnfO4nlyveYY||D~O%wBAUKzY5!PXKaoMYsdq=V_aY3E>nj<3(b2&V z`P+!iE&M2m-Hgl6J3|x*J2XY`*bGem+M5MEC@RZ%r@JPS^pPqdCKG)&h!F5yemTxw zCZ!be#IhA;wKMjieE5ER_gceX(l?MieE)M=!ptglRo>4% zC6}87fn7D0E6MKA5M_nC<1(}qoDPbk8(G&@lURuijO-p8+`~=efk`k8VaeC{H1#XzXE`$Gj2TBh}D59;PPanPe0hFvsItqlwciqIHm zz!RsSwNefAhM~sq{##>Xd;eAHzl~l`8OoAD$<@_=>W?2^^5O;f{ntgVmdcQs;g^>T znR}R%0oGekqeAh94ytCK=8-CpfVFlU*ddE{($SF+Gf1yJ+9-4mtGd7DY{IO z5Qtl3EWdRx-3kM7mjK2;{$YgLOMI?g95(IG1W?b}5@Ys_>`nR<|E1eHkErP4c?D*| z^?~}6yt^3B*ncu@%BL@1Lf6?QLM*urTMEiB#{0sIeiCX4fFig4RM*rzRlFho#3@)k zD9pB#gNLmtZNDv!8`6i<4FLNLUwo$pSi9Pl2#;!g1w;-Z4iv2X2@jJJf$3jy^CyL7 z+1I_u8`wbyrq1%68bIN+?J01nB6vc=;9)-hI9!NBE&`H3t&Ha$N(<0dM(@#H1|uc{ zbVDaXzJeMh7h>KI5e13|twyn5@(j6&C|IKsx3sK4IT4ln3804b4;l^jN|YD;v4CX? zmX|2fpI`+<9)>ZyUqfHX@5Kj6v@j!sM<3)P-sa;&DJkAz(W3nI<=!eP@`{QW_8^gA z>^K#udb}F~24B!rphqxUGkB2)dK5qS9$?Nzfa=|}m4C+Pkr-a|y#_E~!j@W-ZC{sA ztMT@SOeABTJ97qFi{m?VQ4@= zeK1yRC%Xb{Gkm_Cg;vJ968MCeOs46jcSVljZ_E(C+Z_6T$ftS)501&8AR=n-?ha5M zGF^#(#r)$h-=9}mY(Qfm2q5jW<#bUr9K33tf#6Sc( z2iyRX`oNiT!vqV~Duwy;Q;_3p%w&fbM*JHI;k;M&Y2kYgMO1YC0P3%))2CZE+wwBO zb}}F!H8vp5e_LEkiy-djf(qnLFeXn7zn_`m`*XmkQRX!z7?|o0-^1)XAv7!AjCmBu z7r~!)2^0lq-J>(lLDVpU)=21NsDg1yTF2)q(gMf+FPKd(J4CheEBkpxo+kKrY`LPjR^q9*{dG*3oxDz_|&*f%V^O7 zuOO~P=sH*2_sAm_`LL7}6Sjq`i^TvsC#n&8dprW%79c4U4fAo_2oHb4-=(`864M_z z{;%7&$!jGL=|hiGb@75ws(-1h4Ai#8ee>G2Yv{Kq)sPV|#5{qMS3OblNDSt&%a$=V zXmoKUJtC)X5q_$@`t#vi>PB(@`QkUwp7I;`jJpTFCgO6W6CpCSOq;aT{6;tw5?@b! zFXO3E)-a9hLy?w`MBT+@kG3tEO@3X)P9$xD#mbdKF*_?SM{gCpX_TH_=5k6J)>&-e z7DItg$KFG_rmilhs!@M8?F*G6QA6znur|{wZS7D)f(7`@9dU6ZaV&9YnP?+%drNmq zW%=L%5X?N6V_t_~%$6bz4XXAz>PD0ttatNc9W3qEW{9-VwIe# zER7TT0bDwosaer?1!zB{YyJ&_$pw~X`1x_bQnqW$-Otb8M$5T3*55;1v5FrH4(v$c z5C>GaVxY8U)ha7xzzS@;{c!qP(VwfU{g9fRhbZgEjUx{Kg?|G#UW@?&%ri<@9wZ~+6-Zc=wq$d-gdj@0ds|PRe&OCd%_Do5jUY4xY7bJ` zd-Uj5`f7&?>Nj1ON3~kS1L%Pi{KU2j1u~h~_ADdU7X76zx;fkpGupxh$G{_gQpBr2 z=EGgHb0MP7Zc0K(hT(fy&Ma842>iiKyYDg&9Q-~z3wp{d6+;tH7>&SV~ zS`8Rr74M)djhnZ)^IE~3tIo)I=wA=0tF`cCQ(~+@c@X&g2eyDyI|=^0k%F9xPcJVJ z!GkgoBKDAucTDy=t)i@Kk>JSa1ELvsdmzgkx}(o*f!7&0(38DOf!c&0jQ#w79TuGw zg*As!$#Wj0?2@@V>TBmKYMNG;mkWLf9;E~jT(@C3vDoWIxqlP{`YtO!;IG+whtLo* z96vqOb`S!_%#WWxeRA8%MZDqrb7Punu$ANH&13KEc3gxg{f-@Lm)^cGSG7}b*)dg$ z#sgc4Nuw%`t@89_m<+NEQB_4d%PrErKmyN)E(p|i7(Qu2WAfPmrV$V$$lax0-(8r= zTftG2Dm4Pl64qoU@3(`jg*9+M%D-{SSNvO1t2}IG4{4aqY7%qaD}RY7c8Oon zMRtr}!BA%17_>BW^4wUSU{Z1Og0lhK*fVBB1GT++J|NAYWHRy0RWLEK=sK2X-E<5_ zEAY$<0#HTmw*_Y<4D)WRd2Pch$h%Wptk;P)cNq4N=2)&zZAT@z0dCV zr%g6D_gl4U*u^0ZmnYrsRbq-Zmys@1V*F_RPWNWXoF|;xICqpyKq{|az2XeUbrA*K z9Oz4FF)|o5Vz@THKFP4Wx*Cguu4SSxognOscSsNY(RbfjYEZ9J*_oOAXSp-oH~C*y zO^A|7ayn0q#xTttaS>4Yk`J-nG>aa0UP5Pkdb9H5tSp@&LypGAx{?)3OJUOGzA$u2 zM$9S$?&TcgWB?{i!AL}#+H8Q`8GtVDy|U3~zO}x=aqvvOhlimNMkD?D#Z>65G6y>q z=O>t9@#*SU?v>61!&RxRF;6RLFrZtz%3*>OR+*G8U@3-M#Z3Q+Wd&V+Cvu8wk!qX9%X&>3)uyp6nyLaxiIoY!!p0fBDOI8;% zjq(HVfhyB$kah3ZWE!wPzQ9^K7mW?Kif7V()ykCx%d`d7zGc8TTWH7qWTl?s2uE@q zkP&-HULtpLb?qE7as19X@i_3{{tWzZ$SAu&CGmR2v%mkg`lfM&eW@GSsUxtE-~@r0 znJ<7d$`LLDY)ilurdsUCw!$DX%YD;#DLKz^ zhqcM5QNxCLoMS&M#WAx6)w~GO-#!*kRd~%lUU)G7Uot=Ya{5W$amBf9N7Rk!!LSST z{M0IR5Nw_C9ow72hnJpqWVZg9d#l6O0DY2B(4Mj(DE7lt_WfaOvwhpPgv7+`%WKaI z>v1t$eG8inad{QZgZJD1TioHVh!L~rJ?-pbB#nV0t-LdPkDuK*78(Rb3d$TnU>y@l;#Ab}b+x!lPKdOX5|lVOX%+hy!0F z>uZ%&R8D+2&f}xWCydh47Rq-=nPWS1<}!Epc{kVfU$`f_c+HS$Qhd4~%6#AqXd*M= zVx7>PD;HSH@fbAd0qrT>!KFHg507V)b)&Ez#KF$6i}W1r**})K)@`b0Ip)rvUk4*j zB9S@S?>fw>rAy}Sy(h@Knw54D;fcf4^%U^ndRXPR0+FSKtik4q&7kiqE59~3Px*q) z%+8hu9d^_*)WE=ARMVePRA%@+jwyJI2Iv%<3NS9OjsZ%er4sxZE~br!@g;jvu$Uem z-G?Co=Ys5^L{+E>e>Ni_r%F-95U7sYaf7Sp) z$T$@7YS*Jd;({nrC*oqzq1k3l1PW#g(F{F*2a|%4df;?=7oHTLv{l`E8nE)F4aGX* zyd?#RgFRDjKd1k}4wa8M8i33KB|1c{R6EW?pbvu|Dmb-B9LC{;g{$Xvu7C4y(;PIa zym0Eckav5-!-Ky{Y)1x#;^h;ZQ}sES0g;#!>aScH=a~Hb`x1|(2jLtW8;_6MbPgbe z=@@m10g)|WH1lKnuBtHUL1W9EE_sCwne2i*n?;iSF|X#ZyhRDdT^{ms5uE~J#ki)r z6zzK#49#aO z!$+~v(RQy7XPw$qD35jF-gSl+%1b(|y${^`1R9 z(L++;kVCAbTB*t?ldR0P@k`lvG5+LnH3{GegO3;B`alcMGqxCzZ8e}Bdx z6~Ip-2djA~1?1;MdSAi-!ialBIXZM`*Cq$t_Gc;=+@Yrq+FJ;u@cQ+X36T_gh(NQA z6e46TixjOb22M?ItZ+?9^g*@D%)iqj3bX9C=wq9iuB5S}Z=O9O&!R~5$=%xKif)MC zjr5?~jAD?EoUE)=ETM?|nD%m%*xg3=19(Q2nYo(;KjW79H+yHJlKyi=j;u=Nzx5Ls zQ5Y&q3Fw*fX!#~hT1pZDbY`|~{H``1ihq3Fc-15a_m}K_1?}NbcM;-R=TjPI`e-g@NH8?W9bdhgJ7>-h7%Vk=DyVt$-hfQ-zJG8V zx#7HHhe=9@m!w^@A9ff?#$8BN5ySx^z9GULNKE3MWgdc}xR#QF*d)^SEQna#pS!UT z0asucT6e@b(iz=vnl`eryZDy*nDo9C;B|fg5hCO|24~F_?OyZENB`q~o7+pfLU5ty zrrYJ^d0o(f1fwbMHX3q?p|!5T|8r5zF1ht+@a|N90gJ9q+27=1InHTni3J2WK&j_P&Yb(@BeJR9_9z@ftx z8tQ=ZCmjlz`;_I-PEXMv8B;kh5Ayw1f}hN>d1bEoe4LDx5>3RfD_1f$Af4!E#7>a& z$;q6LtmSCnwtRWF76gN7J9Zkrm>e-JfsP-CtwXFe8@EYjzA2wOmy!AhXp16^{l=5$ z&;P|NF3kX{nt5z1$HMkfa{pCBuADtHq(qz!*J32d~=4E6Bc%L(dzZ|6T66#%^6W!K%sJ1`wn*S63vE z>~1+o-wuR<%7r?}dd$dPXkS;17&|Bb{ETjCnO~cl0Orko2jk(xV8V6l1L5Jo9U}s@ z8!nb zl1Tg}z#}BJZdAR8BV{ftGM6tGRsIQ%Z%a!70AWmkMrf{;r2!qG;4v9^P-CY2nU9^g5~a2GQ@Mx#e_o=%NjeMI!fcA)a0OeKJ#r9ulS zdiSH(;DdAjY~oceEc(oLwlOF)u!F{oU#5*Aefk*@#a*RD0+-x+)ov259L#7evLsbg zolKcAL$vP%CytumgK|d`!`Fg>4FJ+!7essb=wTOKGuVQio|Xod2}t&Xs@7}vX9Vr^ ztjx?|g3qEu`a~Aj$WXY$kHRX$B%PUjn@XFr!7C6&JjQ<%Y-ElK!7T@8A<#QvH|0XW z+}(KdvQWMh3v$D@-9`npJb)HpM;ESKah^Ty+bI;NaJ<}GJ`q}RthX?s>e_rBx^<*WivP)zI}kKHUzp0EJ>n$7Jhmp> z0k|QaHe%XG4<8bI7T`=l4}dNgAOTH2R^v7{4|wKy4}QnX+klDmC`$b<($c)I6;*C5 zm7H(ju|r6AaY$|~S0dd=0AIZ|Tym;K<>_y)|oppbPY|^EPxk@72 zOmmaohp|D?){q;mq0y!~MYNq(oMogzDrv zW9iI7PhWu8(xL1l>2AEFQ?>9N^NWCIc~!qJM&a4>|Dy%?OD{u_LVyOC6#nI{bI9o4 zY!GH*63Gov163n^6c8~>X}!Mva`nfWee>q)5X^5!2b!~unT2}yz%s}G^Rlel!rALr zuEeIfL)Bg-?hT#p76^chvv;+ReH$NkMdH#naySD(2u~^$lRD)Xie}597|OqE1T{XB zEV1`(Yl%cafLk_4EW;_wIuC@i!m@wbht1~uA3U(}X^Z5X$H!OP^cmW^`q%&B?#hS&a|0d%Nbe6@&J!I!ZL)2u&V_x|sn{4amh)-@^dQ~p4HH>SU>?|c{pH63d* zh_*|%NxMPB;dnK<2W>Gp!cGSS900PLw{E4hV5foL)6usl;62k7L6qd6h~pQ_0$Nty zM7(+#^CQw>pKty{`;u`fCfZIt*u@o`I7aO^-jYk$+?V$GOxR~j*-@98Ex)`dQed-E zext@AvLP9ht9GD0n+HxDZ*KW*T?*bw)|219JB}(WHa0BHK=9|Xvg&bSVCXgw(!hs5 zx#=)skiN|Y3S}IdrEi6u1EyR)L0 zgis%+HqaYAhQVj^ihK8V?%%(89%r*XNkJi39nMFHw=v>6G`o-$J`P|?CMO-XSY%7+ zi%aaU;$pI!((%b&R*yywbG|c0=7uzxfk#@}1bF{tWuFGO%;8(p{q$Km%4svP2UKe< z3lKr1em*E*02VW{Ipg^8)7jarC*3lsav`pDr^0i0r|_(hn?z~Hkm{ z%)$0UO%bFg$5GTV<99#THpWX}itbg;?*O{O2PHGY5EMMJ0v4^!5BzKhMj;5odfS5~ zMi;@Kb3J{`LIhM6VNPC?KwK$BIpvRg{aNi2<`~nECx3; zn}C+XhMlFep{k>{VHA8JCB>U2g>cTv0>KR&-Ok_US2WU`2x&>APGr^4fCmFm6=S># zD^nLXOG2eX)b=#XOYWy%aPVjX6+VkI7UgXQGr~ohxns(j%~#oXN(qV>M8xl*s;C%9 zlK>S23=|&{ktgAn+d{;(w|~t{lX@)Artwk&a`k?)B_hzFHbRd2lTr{$uu1PCjS9I6`4oE_Ke%s*RxDGMnD z8JK*6#QOd{W(X|vz>d?$%L_j~mPoL*WFcZfrX~kRtvTij`C3?0kHU$MtgSthcL+BM z?k#@rkFmyKQo;hA@;pJ5->sV<>DsrC@2oWaHJMlx#>>X$4m%ar`jUZp33PnZp5wVQ zc+j9c29Z23giRWXojUQhL1s=KKaTUm_@#cZw&>T;M-dzPbai7)KzyW_WXPkeEDY75 zv0_QZw_CI*4So~VBD*6iBBRmkeF0qH;$dMW{It74OqY4=@J7(Rk!R47dRhxoLJ$wo zT3FwZ%$>I|VPItFiQ*OHfT|vIX7p~lZ)gp1lY7pBI@Vgt%Wr`HLsfxqgofgJh7TLo zuOBeyg8CcLvdg6KDU&8~l%is2Is}0Xx&SRLEIdJCNS1+oOGMFpRJ*ZbspWY(FveIE z0Dp%vIC`PJ{6fp7MCcsMaHg8<290K_LPu6Ha5k@|a8D4tXhhzO=IBmoBaY1=nQfQ? zUGx;S-;xGc9^87K6_qez4mA-pKxhkO(0f2Tppr5on|0B!$q*x}*v9fY*dWS_4NOc( z&>897XV*>YE?%6ev0? zc<`=WyKt-=I_WO=;@+TxSdBpQx3IMIS@|Z2$JlUAr5dtyQ{87H36VT zqah=ro$YX<^U$GRDW_ko#3E-bRA22V}gWJ+iXlo_>B( zh-Zw`$2KV0#)4YF!v$9;v|m9(&}|?35!Q!9Na%AJ@^7#Nfd}~8ASnT5L==cOnDKZY z2nIxGvQKd_`myV(dg07*Wz_;i0$0t%);@n}X4k}Nj2@nN~ ziAYK`CT^bgGwBZa>~HKLD}3>Z0sMH>ZV3HlntqF|GZ?_>3=pjQJ4k zy$d`>3g@;L942O#?dP(y!K2|y*5?z`$i7i_ENxo_*)l=`Rg}zIAFnifRFCbU()KaA zF=_N z5x`fId#g}u4mCBUuT8ot(>T&lzuf!^?IH33ViP}$CM@h`am&0~7t1Rv4>2UmY!zOO zh_zdtY-0gKQi^b~8zz!KKcB1{*7W6z-C~hytl$7PFA!Kb#!-}$PdSog9=5@Bk2w@v z@uGK4_sYu|SnVFv#ecc-Fg55FZ|mxKSNrDa+Ng{FUH}{s7FVt_7xnvYd3@)*Isw)2 zxRwb+LZY+F{je30--Jme^qZ)GvKD3Bbu{Fgq}e{tPinH44s&DT-L41Whq1b?gWqpWQ#Mc9ShT)Q3bg%kgtQvo0S=3&+& zuY?GaW7lQ3Jmo7vhYm`1zNMKN*a3znW7QWR{^#E`wSol7ikKE?hy@swm~h9;yr=(( ziX-<#5fW-@j;(1GPBA8BUY@Juqyw3lEi5~9kVa_74nc8iQhit|;M+{;ximze`7l(P zcbp}JAw*$^1KABg)uy)*{`lit{A2Dudp5d%e<&iIql-`}_6wZa!#V_!LItH4(V1Ck z`i$3J!(+)Y13Yr-!5&3nC1ryyM|DR8W?PUXdnuM;jPu;nZWSi{(X^0r{J?Y3u-`~ znsz26tT}!@RViGRBAz?V=+yU@Arr7(W7%kK-eY^TF0L1pa>>bFX!k7_YAw-0Q+2zj zC~~a<8DzslfoIBS!T-#Agay#-n0nw#PUiw)zL6w^B?DL*zo*EejQSEG!yq}&8Ifvo3 zNCc?{!<_K>^gb6MV1jYg-xHR-KKZ5`@cT8*0YxrdMEEJ{11zWQPW0-o8ohV$0OfcS zMCLHJsVv^SeS5fLLh1q;5iKuDhb$-jg!*QLbjvR-k-Hs{e+Zm%NCGV*5DQ<{78b_P zj->7D40miic{nXK6}>v=C=;E)$A^Lj5qgsqYpR(_!1(whUaSo;P+4ImaCM_ zb#;*kEt}FR*g01HbDBWt20OE!8QSj1fDMN-&?maGK7_JQYuojB zjj>_x-W`0Se#t2kcw3fqq z^e2y8*DRgNfjNYyPkDJ3wJt}?@1{RN0qF^4!q)BENh%DVd`i3Sl5d|)z&l_a`aEF+ z-i^#uuryW}=0@!_h<#k0Itkmjuws>-dBBptC#V0~%orKQxA||UNt2E?)^HT_-!&W< zXNV0BGnrt&uR<*wZgYVKA8!rwO$sAf8HxH~B{eh+E_FwG515^t*EtN%?k^$ESm5g% z9qrTQO<6J%O<)`fdIm-lRW|U}unD%G8S1&_ccvyB7b`$+-ZvO*a%ymn&1PY!+I*KI zmgr>9Z0+FDp8BA{TpCK&V-4M(ETsPwGClnPbqlwc?#^P^FhqaljsrRAN7ik&OD>od zge3@#Kze$^5ublaRU`=+5%3Rl9>kYP)z^9&8Q~u{J}4NUyx#Y9?Iu~>y0+^Y&S_u2 ze(e+DiYG56ww2YPbCpSxZjS@Z0bHkN(Wf82d^yk6@?RnmzY-ta!O<~fx@u9uk?_zi zz|$1JS<4U8lyF!C4%NqBjt&m&HKV6^cHS>>&z|Y1{#$DPc>~xb2y9JEs@PD<@5uXq zS_^x0;#0TszrRMl!~JBQQWVHuhf=MiC9JYjYmDUEQmqt9?_UiNLVP9sCqfY2{o+rR zR`PqI;g6OFh@OvL`EDBYA+`ya|LQ^)PQ~vkBgj$+80CZXMWRy0te;=!a&({;Q5p!7 z*1x_18Ow-3ep{OxI**LK3}pw;II?oUi}JmLJ$9rXH*&jDa`&$4a@C~i`YnkY)_AvY zQM8mg%=Jd6GMYM;n&-v$^)axqaLmZ*DN+0a6Ny52a;M;aW?JnfrKLOt+Lx&C@;t>y zzhnea25ZADvgvls+o*=1(@~--bm%}mLMjfT5@!fbg#b|DFV9Z*p8P5!FLpl^c!GYCNpvivdR$RsF!WN{_v7#kJ^|H*!PMq-hH zE6B>#^(*=_;3jkdbP@GGH8fzS$0kL{o()V``L$_#s4ijQ4ISDUmsvX`UZc( zcZdjWj<)YCUB~#X$t4T^L5`22mXwsV9+$N{ckiA|OIyw8>`AW}rT~k#XC!Rofmh3{ z0Ra(-=|4pw%pgIXf~fU%&nu zDNJ~(aN1T+g&hHb>CS->yP~664!rc`2oIM|9#C$1GH9g)(=H*e~QufC&CMwDv>ffzfN)M;t7YO9Q_yAr7pa^90Q*$qM?eP_>F%)5&itB*U z=-4ZktL8ND?V&Ne|Mbb4!h7EWo(Wx%z(k=^p}hxBivDqa*<)FeI~a0gWDzP4VyLk7 zRZ@Zj5Lb=aX-Dx@z#uOt{&CjXC0#@|e9;Y`tvnLtV8pQk2%@bky>Vk9z6wAj6v0FV zE$eB0=nAU;w28)N?hxIusX_%eA#wbC1Rj zWzPHX)Ck%kMo1vYQy6^fMg!^7U1y}Xukx>1>DcLp8q%TX6%{gl9{Wqj96>Yrdmx5( z$u68Yu5)N;K0T88VW0p;D=>vn_Q2gr-Sd{QG`W`QF@k4OaNRyYvjDA9$T0v_#P?IC zY^UUf2t+#o8p#*ejf=(+U+C=(-G8#9BQu=NtRqFI7piL{zkyqkG9TMZ+rg-+MxMD= z_qk~{IRnbdDP|wuzvo-P#)}Wx zBqgR&{jw>n&}{=ki;9t*M3~j$`;@%y=;_nsc?+D*m`wQkI!u@leej^Zv4QUE^4@s- zDJm-qGy@){i>ARMp;I<~?Mv*yiHUAdCODwYM{lCk0?jzV1e zuPC|*1c8_ebHGkTX3knxsj+ecg#{tL$z9oja*c5iXD55r&!EC1GF$Q^c<{K_P-zY5 zZ`v;AFmhPRQ(yIwJsQqf0Dt`a>1)}PI_0mHM?R1sFo9pL|Fh9^hF-UPjLkJ6NVZ0k1hz+=A(cn)Vv(41M0a;KBN!Stdah;SnrR1_aIW0 zSil6GbO-(>br|eyqzUoF(8OeT!}xdj#=-apM@-y#j8+h^+-ob;Xye;;fO4Y$1=bzy7u#<-s84w(3*qI_9yKV4f zbB?%iA8I;8svhi=j?rZZJS%_v23JMscXSI-BeE7w6<`)y{CZMDXv4gsCD zS@ib#6yF4(R64GY4W|IgSj{)3X6yZ2)#)+w*K^JoBebdf{=(-qROFlvVZTJZVg1bA zAN+cnnF(9+6eEDO1bAfLSr?coY+s7_q{MPRogSInAN1ZLm5u+qcJQMcrltsOfV||z zVjHP}33RB3?2;5E%^RDV@N?`ZuS(OcpFC}C3jwKqUn`P9whb#sI`@=w=P_Fnc~TKr zZ5;W5BNAMK5Z9aSUEv!M>t#grh#0m@MrlYtXxqHC7AoZ^O2V5Y3q0t#>KW6StJHEL969O%C zjv1H3gs=~zh7?+Gu;AnSx&i{QKla(PEg`wAF5xn!RrHqB#di3vY#4ab6}fa5~vk>Ge3h53y;cj($9 zx0&UdZL@UW?B52Y?(Os?o; zVP!QB#pd5H_sgQC3&$i)@T{p}HzzCp~jzu;lA* zBOw>yxJjOcyKP>e+JgAQ6ARX>(vfaeyeE=9=K^oGq!ke_S)pdFBXTY^B*s8=KN z$rr*XZIB!&NG1#)+gL^)7{s6Ge;MFp#L|ZYTJ-MTqkwxMRCB1>ot%^-Boyy18*J3q zqk#D5AJ|0vHDV#p4^o};K0}Hw7#}Ua7?p^^7%OzM#9NC(&QOteBk9)ji{7y!#*w9otv3<%ZfL-BG9wPAns8RUoSHU z0*i;&L57@jWH4UgzynT9Cm;+?U{Zhi&aGRrf}LW46Q`dXn!c04QNIBL+UAaskL%*u z4*~ThnJx1-?%LIvVm9aB4V`r%gyb$F6?&d}1VJ3WJRpbJ0eY7*Hgu00C!Pmgt}wi7 zN@}WnC_^<{`>WSx_3E)*n3Z(xI=)WyV-$1(mC*ZmI{Kvnf>lpKT<;4aQ^`u(h& zWEl}86p@HiO@MQ`B88($aUhgS#Vox0c?$+E#ldP6c}#v-ojV92$)L^58>#{G2MqYY z(Wa}3Hy+9nJ(`?s_MrFWy7%u#J$Mh|3%)K*e|H{KMl)u2Y%I&PVHo@PM1HL$OcG3U z`h_^%yqXUcEosewpy01?;mjE{_ZjKw6K!q19-sazKtoko z*=NB5(CX+olr3|a%P;`X@14!aLzr`)Y{Rmmv$i(l7K?{&UTqT!d}cLWiru^SITUbG zEGlko9i0*Bg`8k*(0@`XML)#;BggL&yFG$zD5@q}TUMN0vUaP6NO1RH?t`3(vG5-- z8yd8ATBxiDZq<}`*TH_E1|qRyo8p3(`5ZpX{QC_ajOPJe*r9iwiBw>IO_mAHBodZM z_Gy%Z=f?v-@NVVs6>U?dTXRaWBPaK8(_m%rE#?vdK7IIbr=-N@TU(9$X}90@hC4Ws zu<-iq{XpOoR+~Wf8ZaPu-8wK7ustq01tX;brf9<|ZVy~yIreD;`7clRCef~~E%-uP zb0d{z+r=l_!au8Zs8ng2jL8&6Cd502DUkZiK8Mqc@auuZFk3;WK1ml-2tfss8B=5a zCZwiApFWESAZX%HzA+!dK1|%@Zm24MK&=oHZStQFK!HlMNxfGm+7<3yZ_SvTRq_E` zLjEQjjWiF|W29NpAkTZpOeIyxcKrB-_u8bZeU>iWzjG%L4x7X%u`x)HQp=FB0L>CB zFFMaX%@CL>gpu>sZQDQ#yBQduXn_pKug^mpgPI8valIYpn3Rt>=OpMrxbO3~jt8+z zaBd$|4f-yufTHLVIKO9;#{WWt156kQ>wMbY$p@B!An>y2g_I_*Sv+CJ{c=A>&EQ1! zH~Uc}A#Jc;nz}zRk!$iVi!FGMAD*0jKOw?{Nr1o}P8eGU1&2eq7MfLn&Px&}F~@(# zTmCOS+^-RP}@;cCpqd2T1mfw&4&NIIsgMI$(_4*gL^|D zq1_lu{R7=`S#@rg?Ztldr^Uq+SUT13;@2Q>WwZs?@7@i8ghX(rI|nwxVIYKNAEg{| z8;O&^I#9;uwv$L5g7ov&w$?LDhh`q8Yr5$F!j5&Bmt@jFH}}ni`VWIZux=3C4SFKM zB;DDro;_mJC?`k9tA|*MHEo($MDrP@*F<}X`_vk;2oxh?2!Vx4=DBqHm7!`U76%!$ zSd~V;@jc}0vd?#wN|%YfbxrKj$6eg8Q!DE44UQXkcj~Fpcej?~;i=~7=4CN&KARs} zA#Hch{}gif-%Ypm=M?>HTXE>jqvt`5XCLL%e9QafvDDXL&Ya76dF?zlA{Ce>DIKN> z{{TS&kO(p&^BxX>VuWX&EP!8?-F1oj`@`TRS$ouMBo{IOKR{WC`}oAbCSYVI>(E1= zm9l|>@fd#E+N?Ly#JgVc8q@2;$B*Z7hyhTU!^tF`#+QbZ4phvT5KjR>K?H2jXTu+8 zK}JLOS9100%XjZEM_^;x`qJ@-cgYiA!=A=L-({i$1qb|z;*Rm)dWj(_U5quYB+zDfhP3Dozx0B>6ZlTLG)y~tQh#(bH!!VgAzZ_sqAH^h} zmMSemLc2k&193;QYuCS*F9)m|hOP(=0hoAZW+VJ5OimfzfeZovJVmZBd-i*xTWRTX zAD<%VRBVqU=7K;2IjE|rV8jny&~wQWIv4?QJ9%<4VpCQ_QHRk>L82OGxPq_@;s=xf zbfDLx2h^xQtYI&}EyWG~7=E(UmlWSb2Y9>iUZ5Xw+ky^LY4b8M8iA{TmiESty}Nc% zMA5CMB_%cSp~;U-2?5Z7q$!J)qQ20-QcFPU=NZ735OAYevjBZKbyR0i4Cn(W=_&F# z6jX`aAMAUv!NC23!^sfop2|G_%TSn0{6G3saMp}@SN26mza`%?OSjR*c%UbP3h>q~ zQShIh*3@k8xWHP6u{YyKt`*70^JNU><0?33GkDP%gN>jtLA764y6@D$$NZ|W2KgG2 zaEB+#$^%TVdD4VNL66Z}dE6$N7*GHJd7=^}#AX{w?dKK>U|RJ*BI?wj+-|H|+iy8| z-q6EGEfuGm`7>&VZa51ab$S(!{K0ivkPd0y&v#=D@E~dM}aN87YPk>&z`6NRNY_Zt8(LEX(y~`#<~#X^zY}FV>*skFF7U3 z(Xz3+3HHnLHf`)5Wf!x3`}xzSf1cD#ICu~%p*9^?kwAm^LUoySwmNxibbWA7Am-$# zmbesT%=Mb}SJ|@+uLTH)=F)G;5~ZO^Uz}tXb+fZV*Zc_hhU>`Sq-4Qq09URh+}ozP zy>VI-Jm(Yh-ynh`-FohM44nWTq&GvmR1OB*3eOc%Sn?)!Osw+Od_}0g3afOm4F4e6 zl2h`+2QRLzg_6@D%5KM=JssTiLIPm2!(QcV@QwH#`?7G?p^tE*mp0m(~rc{Evmdgr&qLDu1?5$hJPTiRvaMu1ipo{`W^mWrQup|9|-d_U;P% zHlYh3+rXTfr$~i9+}=o&`2-4^w>}ch7-mJ&`h5cjdHQre=7>YP*w7K2aw+5a@^=xD zB+e6bhv+Z;(%w=?hBgYkP5Kf#%9_wa9B`@?zUbsi0}Bz{Uhw4gJ?-P??{C__zw)ZW znnRSjlph)~*Fr5kh9o?L&6R!{626mzL(6eRkRNzHo@>^PDnHfdKNcD_$4J_5CeH8x zkeKrY@yAtb9km9Wxx&>Shwfl!B>b7qw(7FsO}*8y2cjsfd-Dc7Vr*zv>QySak_AJ4 z0-L+>K_ew48bEWgV!8v!4q$PB8+e4orY|dT9gMuS>0i(el`yH3t~Pifx&ye%T(Ej_z(t8etAv zAamjTbF##LoxP7N>rNaECq}`Kr-XD(pEe*1lUJq$O#8cA1vb@AIVz)Nk8eZE>wBUC zEc+JilrLD+w`b26X&JL2SVA1G4Q0_!qNAM2Cc;5`&^CQ|zw zRN?TxyuAfG6oV8kP}Uiz=9QL|bko$dTm6prPTg6nd(80nMQZOVx~qkz-pv2Z&D$0| z)eX17z<_m?2R|>PA!bDc2FQ=bFZK2&Ik~w<)Ev9ia{L4@VT6Uno7!5_-}gBH!h+>= zJprje_XyO;D4f#*MD{@|%C4iD8mI~XvX%eRRzeIRD^hF2?SvdcoD0dz$p824HW(=U zB_ICxr{WM6Uoy~c{}KnRzuRn?1C|D#CcK7Mf?bH>}OyAy9J>D(=I3~ z{J^+@vvDTt0BnSy-k&wYE7_1p{-(X_I{YBeE-TLdt{&-6Lj5H-eJCXZA}^SWc$FZL z3M&Brp?czL@~5-Z?l2lym+QNH`POy9D)q63JD7x?^Q%!^f+LRmKmVLYnL;B*<^}%( za!gf|6ZqGfn)DJF*6crYXi%R%=gE;E$4}IzgSb-qF=z-I(a|=R#{xYMVOe+8w=Z7~ z0g3Uf+_HHyQyT14$p2NBa8VzL(?@jCLFpJn zOvE8}<7Jwm_TRrq@|+>$fnqKO6f znacQ109PP$NfckQk8rUDor|m1q$yLh)zxWm6<*NNSZ_VbxPpTC9h?E`eBQGA@RlmJ zZ|J!J5HH05n|+nFwE~T6pX%Aha_k${$Og2;ALU~inwt7! zV?fuoV~1el<7^zc0;+8*c*3bU7r{3ob+kVRUPeT-Vucxe%53ir$L8X4MIp>fe4Oor zvi8@jS4M%iNMW>F-PnkMnr-po)`XqZVoyO)w!0TY5?kH)Wcr*rTO=h|6lD8jUqJB( za1sG2ke^4F8aO%+NEF61xUjt|AO)wF!<%Fx^zIb+N>LHTb!z$}*Go#cNs|wbT#3H~ z$RsoSiZNHtp6!zJo_-u2)&1(~gW=)m`W1(pxqEnU#PA`59vHuGA97Eshh&qVbU1M5 zK}5CeA^5~}`G|23vcj;GdIT`p1$32Q3A|bSBdOtWB)xZ(G7a@qxMThM_jng!w0Rmr zgV>g%OQQ)V@5054@IyFkHhX601&@fbYiMjdh;y&t|dhMu{bgq`hizR4B$l5X-%AXlbj-UrEEK5$b{dFqH15QTli`cNeaA}aL_MpO5rt+z%FHvBSF^ln2gvs_Nn0D?5g$Z z3?B?iZDAwTUy@MT(UQeyv-r8oFEQ+N+UM|ix}J!l7p6hhH(<>dRB3ca60G0-<>wZV zX!`UdlP5UK-dFS7jSJGk3F3RARhQtVZ@D6uX$}|e5_rx#sQ}Vk(c6@AW?|_Q#uzPv zxi_6{lQlcj3FEcav4JF@f@CtafJ(a2Wfpkh%S=*>8Ta$PLYJU)gK4@puG7$4MHc~b z%7&^E9<}Tnj)Y@?0aq^k+4FPD^^n9fzC#hnKfp3`(aKCurvxSFNHmj%$^5|23}V0k zTG@h(aCEW$>^oYoFS}S2Y!&WdhVfmXF1w>fBy-j0|wPs9(Se5{L+$j*J)E;>1`ujEWMraPUr0Q$IgHwW~}uLfK)XWlt4B zmk5BOh;Kk2^}}l2hx;RwY6_?w5cQYw25j@Y_H?jFa0Uaw3tMan4F?loxgUMW7Rx-F z`0;S*{PFAP$XikW_~FB4HnwKy5K35V7kRFR`41*(gqajyu3dzL5l?(C?T0@(kYf7|26!Ju@LMlsPq65-M zg`{R@+ClJ!V=y~o2EU*nx>8nlTDNXYeWmpCO;hOzFl`7oNu6^}pN4gZLPcQJH0Aok z0BmZi|M-#QfA{81nJeFU`Yu}EzI?fQTDfJt+_wRysbRr{7oH6zBUUUrI~>FpCm8O4 zcy8MVp9Cl`%u~a+V!j5oR4-m1Oz$@tW~i}V%fX(Cr{QY@9x~J*mcvt`#-I!VJ}J}Q zo0KGJ=_Qebtw{*pMB)I`_^^(rYNl*S;h9>+j+z@O=xvJXK64ZS(F@kMrfVlVb%ON2 z>*i38avG`Zs*pKcDI5D-w0MMz5RO8wGSwh&Wy*o!;jcS(yUf7{Xu`FLF@oI1&btR6 zTbXl|d3X}r>5N|6JYuK|-u2H`aXqq;jb z4(MJbl7fd1ySg8wGRxNWUc5L)XNxHuj|G4I1%?H!1L>Wt@vQQrOQ01cC6m*@vS0XL zKy?L10DZCPG;B=(x$C=Mc^*^Qw}24M@8G(iAZJP}HS?1Wq=eg z-;#dAVQD#8oX$g3G`hTqlJpxxZj`HBk?5k*s`7eFu4HbgiuO1TgD7ulsgN2@)g-nx z-GAF4w2j^-e2=a^VG#&~6nw+Z0#8Wd4OIO*3vh0JfH`YjBU5G2+2fg+Q6AFJYCqK6 zml(qyJH`T#2#fAHG9PwLaiW6{w@Fgbz;tHCam$uN;YyZ&h`<{B&J>Q2Y7+-k(%Rrf z4W)7UfN|(u;P{Z?WQ?a%^)ek~{>)P2C_egvW$c!sai`ainzy4_AUtqEcq$nWs0M*z zpI=x}gl{$CPSBcqCva~Ut!f-8X~E+1BPhH5yNJ!Yk6I;IG+$YE5E541%-(Si*-1b5cR z4QEGS443KqO@@lCTlTkp%9l?5p%0@BF-Y1N@$qds8rs^@>}PB9`sdwkHE23Y> zWa%UiBEgW~PEBdKTR$n$lr=O=l&Hg)M(&H|VH%!1y*nrpX@rVX zK|uk`VB+k93^=TJ9cK=Lwx1@=M=4VWqz%`DA78%64!SwN%35x0x8>G%%F3+gF8tYv zCMKuzDu%U34j=BtKw|uAl25#M63`dGrCX0nOvO1-Ig?XuCS33;l5YwP2*}}nxm~?R zSqTQjs*jp)emzw%?&Q`YeP{x=m_Nuyq`lhTA=!m^E_fOG3{GNB0AF z=~19N%-kVLT|R&QJa;ek*fbXxbe7kwayS-=9!u4np2PJa##5kTu>rtRP{;qt>R+h7 z>*KDN>h`ovGEI5(qDX0z)==F3YH2A~wN0JC`UePep#4xL*rIIvq>u$CU*|jAfuo7J z0gpS}O)vEX%=-{J=O6PQQ^=$yJY^#+ZZ>{?gN^6Qw(7NEf%*B%7x03J-UcRGw}7@e zYdx%jhx44S1m`;$i~kJ* zG$o|DOSecI!0hPf0?d96wI}S{xq3B1rIn|E4zEy(9tKY^FCq6{VKhSu%l$M)9w&6* zu7-?(%;32^Rhth0aJrq?2nX1H{P@X(WlQ3|oZTi5g3KtIh`Qfm`7PK8bW)|I|Gn`J zJw}>rk`47)mU-gONiBrD1(Mg^{_9i04;A|g=6h&enQG9_FxVh0af}X|{KQ8Vgp&@4 zIWoj>Vs?gmHiVas+lyJ*#bg*4iF$>Vl|a~(BLv=p@Pt(l^vgHUMQpv;8v#l879|mC zvw{QL{`1%jfd60cRnd1H**hw;btq^JmyGj9ZNQr*Fw`cp8FUDLP9kQ01qgZ&KDzTq z#z;_Lpk~a@_P$OH$u}Q8=5@hle?VtJi|gcsw+nEgg40hvCsvT81-W6T6B1a(>46*( z76o`DBptY3G&SmC5OJBo{V9|n{vVp`gf!A_=vndbI9?uIzJP$%#&F8$WviBic|H@( znZX;T=GMl8lL{Mf1g(zeM^}J(9y%2g+v#M^x!kh*Rva9{!T2tk0&T1Nz;%iFP%E#}*zq2r^0UOg{wJ zNJ&tB0R9(w5swje6RIwGLN`LM!5_v-TeCqocw|iA`O>+fNKc~29`j9`Kxf0O->?;f zYs{F@SJ88slH)7pg|&kH5>lc*5fXj`5foggK$(@mcCdU~nq}n90OVo%#5YI{%0~f2 zhoc=ZfLR)55?3!P!u_H&L*{oH|8vvD5zfZK-t2$=SsNJmp(cMmwKQS(!k~y*r+Gdc zaS)+`6{lEO!6xiK%>S|rnl;Rr5WKVcg<1s>L43783lO@i78e(vU-F2u z?%mUfg6IG!KC%>%T(i1>;K*-qXMY)A&o&D~8=6|}VcaQpYCe#9gMleX&D zfK@pb+1V^3sHVu*H%Yl$*iXPKr%u(Jz4JycnZJT6Lrq@ zGM%Fg66<-AHlYRi@*kbXFCMz24S^bdEjXj`?wQ^c4k=QMAmxXh{ef!$5VNWF6%b%E zvmJKHymhakzTp$UaDZXa5X;lfD$^G%TCgC@7Zgh-wHJahIfe1~IivcKZak4nl`fO0 z%R`40GT^|BnhPk}C9{}}Q>B-CRDcNrUH?aYynu*SHE?a6|8PDD(^#=Bq&0dM-Y^9@ zXNblG&eN^y*9CluP(cyM^&y$Uo8))&Y)}|_xv$nHJeK_@AF#Sc>6M<50ToSQ*H2R! zDLg}Ry~o)ltP^nj=bs@xw%6n=hC=4U3?Ceu?yHZnahM@%TUgqWl$E94$qjy>@0G78 z=@p+PYlyLPVa(gJWIdE+2$M_~ny%qm?V>_VXLup+jXYq8rKLf)ZVb!;!a?sP>WVxk z-t5iN(hg@%BGYWC^DGX#%>niYJg2u0}-+ucLzyPfmAbZkL7B-V_y#b7>a=w*ZC2!LPr3{aUEmOy9^n z9UR9q7zeCDy?S-V5xKhh3bxhAy{V?jgA_jS!vxnpH8r>N`_%T{?J7`V_zdJyR(2fx zXuq+z4wV}{11%p|T-X(sPix&di(OO?tX9tdeGqy?YRg69EJjOAp?ULkW0ZMe_eK#j z(Xe@V=;|GhXrW`rq;c^tn~_UtfTjSQUAwj(f7v%i{}E_!VXlXwFt(3k1cBlaU1dqh zF`VO&BfGyRLkPpc+FDkp04A{Ghkd)V(9OBLqD6oeCv$cd^$4B`QBl|VAS`Yx-GqgM+Os<@91KE_Bhj2$)S)2$Xti0T2yUO@iq|~aN9dkIfu#HnW zN(%&FnW!DU4SnD>wB)0G8O{(@6Hh-9Ly5@F4)5Y2Lv&_|nb@ae><0exICeG%{$kRz zY16H=?wxu{FaIt25(#uy*Vs5oTX04ld|AIjT)~!d4((^SA%QOdtShf3W)akm_ zzamIC++7;5;%E6BDW+24dEzfMsv|s)heQ~EUjq_JqLjAIBri}JQ~BGezrs=l^;*&c zO9pq`XRn^*0n%g6NjuMV(@pz-<8jb#q|W`-eg8$J@LZXaw@fMpIXN<&SFgw^*!gw% zS2=$@xH0I5*cJnAX+ZB=(pUyeq;?(>T?xW680Kwtv(MP%9l)v}sk1QT3b`+bo2-EQ z{!yhD#Qz?{+Vg^`PGn6Q{rP9(p0373uB7>TTz%5=?QF`XN3Qas(ylJaqZOV#X4!b~ z^u_D8vs~CRch6@@%~e0%6c+1H2pT`64+fw1bebIg?Roy&)rJNFfR57aAA)xop2b@Zf9E@vl+Ao*T{%1Q^;WN8VKzzTO_{8Nr|kWO z-D-jNhi=4dsxMTxpPQRmLf`(qBghj3M5dh`t9)K6WAvAE{=CA{ZH9`F^-vIY`0n|; zeX*Y(a=aX_G~Ecpt+=?E@c3w`rno(3dbbcfX5m8l?_ZJptpjka`f)lf?JW#jT0^30 z>q-w{ku}UtdhJ4EWkLq13Z1j{v(4=ADazCOQYIHSr{xAHRM^oA$YQ7Hv02k_z<|-~ zYT_E4g4=@n|6+UsF)if5Ts}Timnzu_(AE+kyS*})^Y+!JXMzh0kDa{ERz8X1KeX|% zCxA;SU9mF3G9WSaboe?cHa&7(BUb+VFO1vKY_r&uLiyRjyMFM4pTyU2E#(x-Duby3xK<`0^T$%uT?L_3f0IUrwJr`}>EcF}$3! z_rd_5ja7p6m=fcM+7#y}ZF&)zk+BTu-ThK5W4ck_z+tmAg770MbFHMKRu_YF6ul#A zsaC08pi9)=EnkqAYops@fmclAa*?zzOCFWKkBrdo`zo=6hf=#7P$JKeh7L*qL_iy1 zEkw0$D36wTWc){_9KZvtM28W@Fhe$+l|6hZbye#A+aPI9Vd#M4q-DMXKQebW5m2It z&&-4%GgE0~H{VAS4l~z>fur?o^6FlVH{OxnfolSO?O2?!5*uQjq8nW#7wS(@7S!F91W16G?h@QE5N0K9^VbDf(tCpOi%~tGG}bI zfBz_G*J&Ane_Y&Hb6oN9>v+Q*GzhrDFFs}Thw*RYaa83LXYbT0tY~sn1@}7+R`Tso zXhk5Civii9>Ct?279{Ei7hCooW|1O>9drE1a=6F`1CC zY{o=|M!O%9_KCZ7dzebc)K{Xun5 zm-JMG89d$9)z)waw0d3~k(T=gZ-WJb?)rkllEMr0G2q}6zx?0lIJAP3?v&ZQNYEkfDoqt^7g<>#0#-qTu%mUi zEy4eS{vmzZ5_k9bKWi^)fePLI{hMH@3A@-3A@HAoj05zogLuo108W^@A8b%&jpTXU zlLXT@Vi<0mNalHhKpLpLQ|bwV{M$oJ&`4<(9@Kc$yWf!T@~4nUp^Hq~-@>FgWA=H~ zwo@4y_koAT;EZ*eL3&wmRY<@YPtF;Q__gNK-Lqm-t z4}pn=UXSkI$G;5)AlfLNN#WkB)RDkwOh_h9p4?SiTjAFaN=3+-SSfM)WzP!x{|NFp zu2Pi&0N`87eCy4}k1P@SN7}v)ES9&HHKBD23m(>Rf7h%5E@u3#wCad@y=9Zn8AkX` z3LhH&0aD0qqRa(_4U_yhAjMu${57WdG2wZzhF=SS{>}!7sU;;%caI9+Dn*LJp0>J*&qVEz#?L zS?gdL3=si`6B&C~NvPExpADJC)F?%lsHo`Q=d z!5Fi^p_@|B|0+g+Fo(S-q*FL|Z0EN``yRR6iE8HJg$raON@we%-&w*=RbF-2Y(}QX zS)|d4WmB7=N-*Q6tBLhV$|6-^%M)b>1sGk9Xf^#yWA!ENHo`tUHj7Ouyju!xi6D5y zCE(9UnJy&E27M$=6&{$m=2ed$vl}W>O0(}SK{Uh4^-U>oKbT6A;7vAhr6N|0-jpIx zPwMLA9w2X3ce+RWQ#fp#p({e0`XZ|EHGzSt+T9bJA0p@P=M3RDvnDJf;{&4hg1)>) z&V5rTP844r+13N&*?;Stas2T{|k`EmsQEiTjr#z7Rl z*u=`6@dQrc#t9{eu_$u$X2KWqshi{vw57^gojc3*b)7o(34;_=0?eSepy=T;Q811k z4bKR46Al4sB>NSK0>(DXc4H%>PO7RsaJd?~$B0~X{P+^^H20N9&+bRu?-?z;XdNAy zck4#?PU$P=dQAGg}kGT{_>Y@QE{Ku(3Pi%o#U3yO#{5KomWA`fv_e0Tyo6Nw)Qu&End8 zVVaDyFsxU`ZSdg8Ezqwx#TlIwKCfb6!!KLIJd5SJ#>O|Qs#+k`aCF&6E6`}_OG$)K z^|NQwK!sNbS}Mheu)#8OKRu?w>%XsDkk3!k4ZQ`hPD{-rVT57rb2C+0Mz@w9#mN5v z4t8SiP+xp(PehvKcn{Oa_I{Mb!h@ezaetX&BeH<%jt~(16Zb?a zi{;NQ;5|lZU7q0mC{q22?Pz^28wI(*Gn4z-;F3OVWbuh9FIY5fAUKnBG}?Y@m?s5L z#fZ3yzhqlHg1yF1dP_=;my;2Eow>ls5!ncnjL?ie!ZP@+VD^oSsx-3 zWPe%OQ5@I_Q78AC0&{ij2qaYStRspwDx~Od`$5eBQipDHqAMcq1Bg(sk0Jy!o{HMA zfmP07ADuA?oIQJ#nVH6=yrV~>C}yr*do}bXt`6$JFXzr3%2u21<_20Kt^D|ngO41R zd)l&e7K|PSEB=Ux2fX4Af-2>VFa`65rH6uafHf{s)Khsz?QkEUqd2eFn&L~90ef-n zTGlU@pPDlQtdi0N2ATbdsdnmO=Y=pg)`5m{2&st-B@$DXKR;;;h1C!+<{>WxC<*E@ zhhgOK;T!w5EyntUrOx|dPEo^?zQP7_Df&cLBPIIH}Y*~W7SCwh8Lj~4PYiGSH^%+dT4F#_)0 z*v(p=VUt+04>j{`_oUIO4C~t6c{LMniz${QcY7+7FsF> zPCOId260?n%xoFvVd(FlD*>77$MMn`{V+T%Xygd<8Ed@@7~+yn3m5INOGenkJCi-y ze}@BjP0}PNz$}>IZ!l6Jaq(9wFVXj$qJg5^#P=v0=_dgZ{=9|7Uc2P5hK-(UaTC?5 zKZyNsf$nf>P#Y(FF0y?Kqs9AoK<6*4x(hBfYu01xfk%%7Seh$M;9#ans%FzMUP;{Q zQ2q^9fklH9Djn`WqJ@$(XlcOrd>qFHsRFW^Jrdj5KKi=!D4bgCXrn6dBXeG{`@5{Qjv1SrOD%@t06i zUwoMTs5kO?5~7$kd|h^?ynw7z@FMB(VYz3j$0yNy@Loxi24mK)mpJf7@N;2Rm;b7Z zEa8ORMm-a5JAwW5e0IPac3o6w`zQcJ9&9Kk(_&~`T1py2g3vAF8vWuBf%F)CBUJUc7$I+yxeN;?PB^t8U%DpL6k|j&tEoX0cc|Wn`dcrK;uPCvA6gb>)gc5J}F? z{!FKl-7|tn2@^X)V)MxHX)joPC+A)HNo9^)vy?s2Sy`gVxDT5#Gy+JV`=dA&%k~^H zM6-S%7!AY0rodoGRji7op?WiPqojmy8y~3LIp1f>T3KBKmlHQ`CdafY{>A z<}6XCWMKjmfI17OCVEp!Gy*u|;_j+_SSomQDvxdyFeaamhh?g;g>(bL%IF^sI(!^V z6d=H}$Wr015}yukCV>$1VfID>=E6_mt@3<9+En z`}X~0VK-US0g z?mRX8`t{@JhOohaiE4Z5`kgy}jL{1VDN5nxKd3au=&jM;5c<(C8$_%&w1HlR@ z5+K4MKEQ!oSSSu(gC=0xw#nd~lo=d0Bviy|DA|7&G4ddQ7B~=GY8V{Yz8q8MSL8sU ze}Pm$Szz1s3I=WPg2+t;mHx~h`P4A5DB_U3@O^0v0Lr0WQ(mL4;eW!#LgqMm!i4Ax z7g_>d1GyuroC7@a-JAkj@EZ9T)_mUc!=&O@PNz_ZuUw`mm7&3tyufzCX zp|Z%ksPo0Lf0S3P=ctWfXq6At#k9A5Y|>GYY>|G{mj5u%!+_P&J4Z3>B4Cyn}|OMIfdR~!KKAEdD<=|mTCF^xPK{80s4gR~R3K2LacJB8_8z@W-n+F(3z!u! z!}jUP5A30*S6NZfdV58Cy}!RdBN2I9b^18`_d^@{GDD%Nsyx5pXW0p{KD2TIO4|*4 zJmtcvxt^5XY#&02nq=NHHngLOO7Kz+IPRlDmo;)_jWC5Rofob`dnAnY-BF#Z+V)qCGl#3=`TQ8#D3ZESi%WGfItO` z0f3j0fs4Bt8WORsix%kA66ygI`@|DUaMfs}R|IV?t&Kf9YG;vB40j0Yq)DCN zk@PW%0mJxOQUY-~jX@HpiIf07M*;Bb*Qb0yR9-4;f5-t8z5V+1DK09iL&vuNkYJbx z7X^w8Od_&@f>=zU8Mt;WM;j=H=Ukjat1eF7Ah$A>LsBahoYE3oLfF zk3eC33HPZ{qk?F1@wWM6;@vD=ca?4$Bdy;8QZwy#=4mM<+YHAbNr6@dbXv75&T8(*zq4XJ>(15Eo~?>O;2(2`>ZGk^+f4 zO65bkVr~zOgz!xD!NR5zB0g;!t1^UxD}IL_lqZ9}FyO zF>o781Aqu&3daEB?aCY5d(!vg<(QBqUJ7cvt$=yAW zUsLh}Ll*)vv6~U3@{&>V3C?g;hy;`AOt2y%_M-Msjb*kwMid3- zmI6S`@ENZIs3PQ5Ui+8NpDT_ckAnaW$E^rWwEy3}+ z*;9K1a+1L)Vn9$MB>VsZ>aDwX7qb15A>ijr7cY(pZSQVh0qK^uk`*>7CQOqVBW;)~ z>XeAS3tUHh6D#clhj`mBAwV(;Ic&1Ftz`xOJ)a5T$%iVLyi`hP{!^+jEhS-L45on0 ze$;x5hSjqpF0S~r;2*{>QY!^v1zZPW$53P?UZOO&G>^>3;caW#bNbLBI2dVOa0e!8 zQDF*}2s~;V%SQ=w%m4j-KZ?1QDTX_Eb1Wds+Ko1nhQ~RySHC^)NXn=*jWn6}VB+JL z>=Kgna}~UNu`NKGdEH}}57_nIy5(3KXhx^SEAa0(d^koszmxV+$?$d9g!_tD@jTrA zQ+&bV`3<{1AP6sP);o6cq~J(FpR_3jsX0q}l8kA2V1Xr@fEzI>Sqo~bWe-23w6HKa zJsq@dHp{aRP29N?O4Q0YgE0?4GJVkS6)&&BZ)OQ8^mdxm*?2vr)N_qA#7t4q)IhN3 zcu}QxXjkE)O0JT72`+G1Dd7;7A@?$%ugF5`$lFGJ9@~-dM&usrif(8OAnk(Pa1tGE z3gv2-e9pX)(fW_oXmz1T6e{#s5Cs?k2b4M%FcvcJ7(lp;ce2QrnKOV$@jh{I_)Mn@ zDngEY^ZIr29|@D#mY4)VOR4)pKzQ4Mg49(_P2n$of2AR9l!0UgdF^FSaypKFPoD#s z*UmKnK>@_P`SU~9rayl21d}i=`wAwAw77DoltJHUqL~d+8&QjjT;+z>!!QV6mCdp` zP&W0Od?Z0mCQ*0M!my7u+LB#2#j=IZo?+P0!@fdrcT{DMjeNdxO-EYNR1OEbyRkTV zeXoF46%kLCn4rrVN@BG;FhGb-W?2eF-Ip zrd)HQE{WlGs{xHQ=ig)##BMmg&4lAxJ&{!tq+Xf;)*uFT*M}=ffgb;F0wx`xPIKoT z;$t{-e^w3pn%)f88{I~T! z_CD?iDE3L>P(KQl|HjqEHkN)VS1d?{$Yn|6vVM4gZD)!GQvV-0vOdL^osJ0!IiAcvza_%QNio6SJS6z%67`GMI>C+K+$De%hp`n3!2ynD)G*uxP z96XM~Aa&h1UZT5u)uNr|y$HBfdk|-=!H3Aw@(2AQMB;)8FPAD`ef&59+Y_RLq|&ss zpJ4FBL{Dy{yx0~_3#yV3k8V22%6^Ln=nV>_p409&?Qn6pgHO z@m;271a5eiqV8l$NUlIsaIBcUD4fs)qv38JnVKFjJ%T}Q{nJHT4lu=@v>Fjyl^HHVkuO#Tv_=zZA!$9K;1}a1XVo&3fZ){g(#>av^msYSt;u(vq z&UqDWAQ|hFPOnVPY)V`+%2NrT5rCgH;^f83nh0(`pinF=CXmx}+}Jk;B+a4Z0B}Xy z2TkxYWIHYf#kRH)dhlRv0F z1$5)$#cJkM0|%+|_sZfL&?xG@=!gAA&^{!U5B>-zeNCr{?go~_i@6-C6@ zv5s}aV`-zcwsxd%4f#GLWp(Ag0?Z}gVCky|tL)xJt^YO{K!oUCb`{MWe$>VbFKSxF zlVLDSiL-*ly$o@flM`VVZBhKc-TbKnmzBKWQ-hVIbd@LFAno9x5NmOk+l7V`i_*td zB!(~?nLvteFb0c2Z2#V8!YB>y@k@}69{1r?+^T4-B^h?1AqX}SIHos&6|YiaIzqFK zjn_R0cXYv6OoSUF?U)8{1lTj)V%)grPo5yV$0ZVjsUMMF8lXntl7TfM?{3UT=Yi(u z2q9FoteVGB`W8ejW)tz`qB>X9TNI{^%~1;2_*6yt5BtNDyN_^~X|$p+IwUP5I>f`q zNbUF8k!|+2zj|~xEDO=OB$qaHxtv<}v>AG~q$}kySxcT4{M#O2erIj+miQ!B_2!aq zTP}{7Bm_3k(_lO45_qf9X*xA^CZc-C4@QAh`sQiPs>)6tKYSluz1Dt4S z-ruf<#V?YajyMnf@afa*M!(9-E*}mMa1PJ-69JV>dUslI`l|tbtq+Q3+^+Tg#diMu zzZm33P>1{Mlk1Ip>amL#_r9tA#iD1SgvuSZp+#WF0(<+TOpdQGTIn65aXADwNKc(n zUdTOx1cB1xJ8l@~;=N8s2j`C+#U4Bb3bo1Ugy4sKs*z%11FB60E#= zbOOKq+=;r3c|-d8Ur>bB`=z-#)QOxv8;|j%gAKhB@+6GZu+gwi9-^<$O~>^FHN}EKA|Zdg^4&z)2iWs`eVX53S`p-kWQ}XH7aVul-1hm;hN4Mp zEDubDq|R^Le$7)oN+Dz|4Yq9q$3Hvj5Z3ab^g@$;(>HthP*5;3P$)Q}-5Q%hP7W;0 zARmpgk*of@OpolJtgh#mn%Y|ECqQX-+xp|GT27r?W!}Njr6wcDe9a!$+N7i^7HMhO z9=fL)p%>Q6hhEj1QW{X)=q&X0+9vY+{J%@L_FYU$aVBlX@y~#B;4zRZ8k(Azu*2O> zCF+}P!9yD|#NNk1QoT0BdPv8nFl!XtLEL9Mhs{J8fE@1%qE(DLCN>8&y}Cvz&-F^R z(o-!Ps_w|qqvN8YvVCfh=dsBYUlqDb7*Rm3a(4au*?RjMF4gB8avlogz-0?`YQ7DI zP2LNE(0m0AFE{~?^YjIUBdvfJ}mouQ!D;a!i`!; z5_F^i9n1DUiu9<$Bi67c9?4s1l=V3>$Kd?y+Vj@v!2QD*xn{BcoH z?r|6KM4o3bI*p(5qVB05iu_}LnI!vuZv|0AVrn{%3Dz7TF0tqQ{9F2T#U56+YSZI8 zt#v2%HYx!HA(MWDY(rO3uGpu)AjSlHAbCTq28+>YdT^PEM@lwSk@!Lg@5Cuu34)jE zR;@L^0q(_#Ww8Ut>lD;$RWPeonD<+~ov=+X?)Q~}sf$q8bdNcI98pO*i$jOL+BqkGz@35gbv6~UL& zy8A{g`NZ70-^g{i0I{JoX98{VGSuopemj925fgIgGF?v*!GM#9cazMm(V|S$^&1x* ze`{$ydD+;pj2!8k^8(-($aW1vCuZm{LVz#9)8ET0g8_E4W&yFsMn$o!h}G<}r6ep& zhbGzL+C+yqF$l0J|G*u03GGVIuku~}yLF2o?Sef6-m?1X+3-j`QneSjy>cx;dDFtg z=`A@Nr;-wo6c>mh%*2k`hQa|3-{m$gu1P0Lef+tIN9n{m84x`D+drPSStqH^oYWSi zY*aMF%19etj!*Ui##JN?wpV}r1S+U?U#Mqc>5FOO5}gFoo3OW1v4Kdr)nD+~O|c5) zUe}EEqedsD-%b5PU%g=CNjf~5DprB8szjIa>Od`<`N&a^hl`ZotlP|4lv8+?+?3wFU z?c_pu^%R(9&YZe8Z%{{Gzj1?O|K;=N$Ym~cD^2&<$W)akLCiE7#9I$l>Nz882wbP! z#Z{XJ#(l-}hTvkhZ_24E1g+RSf!42Jw!FPsWTz6jT8CGc69}19uU@=#iC(L#k@mh@ zv%kmL=;6C7m~y>4c{;L)pCee3>@zfqbekO+*)1&7#qeB(ZEpd1sr7|_rez;&o!UTb zqvZmA7k~fpW2NoWjy}M#&2L0r^dtj8xsHyIl#$m{-WLWibmlS+h2HFRQZ23La!Dre zybm2(%$Rv96DytWjVJ~_ym=F}7+6}A$UmdnKb_MS9ht$XS>J3jVj_oV*KY|9;4cej z&Rh&(=k)1{y5ryc8Ek4iy~^KmkUnrUhe2&%&%adox}7j7w(^`tW@Y|?Y*!u7g` zTNmU31eQN|AaC5~-ToW3yLRpbYGnovyOsxy4~&X}oM9p$#kHD7nlX`=f^uaxdSh@1 zyJVUOjom??QqD;G1~9xj5o)f{V+f}pm|8283Nx5de%wW+Dh)`2=aOOe>x)P>LW!^S zbBcP-vgC5FqFjZ;J#}*y05Aq}hYc8T;Oj+0){U({W=!ANqeE=>iz25fddUZ7X+N!# z%j%jWj%uA2QmrI%>kqEW%R<_Y7&fr}uQ3sYCZk4i9lu&*?w~c%f1YkfrMHU1cXrp) z+zgkpDEE_{pR+FhsKDtLDf3bOqwYVWBlds& zhMT!w!m+e8xox$+V^)eg6E;N`S2LW{byCL!$g zjrEj%!CAq912{*|a4d-_CJO;)NR5lTLzn{-F#{pl zY%Lfz_+7`#I1%HctJWwF=o9SM$Lpjla3BQ*Ij2XrL&VUnL=A(TGQfbfHhl?)N zT*h!)n}D^(NTf{P0rL2>A^Es7t9L`VY(PtgrKf4%9oOL4d`sH+S^DU?@r>hH zm|52}?}5w6#k#GAu0K$A@@%8PZ?(HA)N<#y!mMJZQ^;6_BDbzjl`Q353=_?lO2k-Q zaj*ng|JPa8sTj$$e_S|I&3nE*&aF)e_2Jh%|Cx6#x=an{19wn}LGg9?q!~=z-<0$M)7Z& zHNbQfW5jhE>}=;Ff}`P?4$otsp0x+rAAWfZxWi#<(eLPEfB7X98DL??glD?o1|XID zxD#01qPpz#^ji8?U;~8Wj80RTlna&%0p~O_pJ7ZD$jls^;6R7~Cj_k^5WWBO2_`Ay zZ|JVzv>Ou@^_K5Irg2Qq?PzKs2tE!wh<6uN1lAyEMS1K*oT7`_Y_Y{9Ti?#9 zCx7f2sUeeQ1bYGsFy1Z98Zw9p{iEBrTbi1<3TD$ZgsVP#Hrx^J`kfB?)CWs5pROBw z1=x-D>iF>o9McU~`;*Bad8Rw6m*_}xVWJA#rz~d+J(Fx#BVs`K?skSMoKHq@j_;sX zLuEc$E1VZ_zUb?SCYv~X@W26wKeRmM_c}Z0d7KGodpiVfoOVocO(U@Y(bt6qBhEY- zB$Jx%VJOmDh(;J!v4r~S!!Y8wmuCB4ZvmWvjmC0u?4my^KNDD2yxlXONuqcnu(lW} z`0ZO=GF_3#zq!5gVFXc)vWEyLR;>bGA4dSN*n+qkVMbikmAeiK=TMqE2ID@B4=*(;u`Lc$#Oc ztJ|e817#5{0xmGKeXH=e?suo~;N=x#+qQSPY^8-G=eV zkqh&)L7zeI3 zQDugSz{Wkhw z->9Y6DV9-qLY%k6EF<6j6qChD8%YWvygl&BLR3NQcMJUS2qheLDLi{16bgBdGiA4K zePsHpvp0bDV3oY3nfWuFvD1sAXWsKsZDl20C4vYDB}Z+K(-E*CCxg%)LKD=W))IAd z$m6r9N#QYjnx+PHnD7p^Ndf&TU|Ya-qBA- zSNZkNX%Eq+#D+1-ruzN+OAuJ}hGXg+FkX>jh)W`)H!`Zv=KT3-lP4cP zaRPgShj;I?L~7qvRaEp69JsogxwxH&k^*A{;gR{2ZOC~9PN6ytzlrk)6%1ys+(i^p z=<19T9bss)XuW#j;;0r=>~RL(;vSA}O2=7O)F-Q}%nw2a^}3rPluz}6oxpo6my6K` zp@_^RE8xkJ(*c6$#Qy7^A3|%Yr&!_+U5YP$F_bNT%fRb9hmnb_Sp{-IXyt@)f)Ljn zb=nhBQR>vaD7MygMm@1*D?bVH`>RoD&U@#ljh1IGB0jMNc2jkJ3lG#Nks<->;$ z@89=j38+*_l}T%>o4?&PB+ulMARbXXU~;2eP+wPPfAoP>D|_W1S{$fUi5c zHGr6*VatLZvWt~l@5!*#_#~wKvu1_Yw9;9L9N1hsDA51XJb}mua$Q#5sJ%Dxo zmK7+wcZ&O$5^~5@dX#e8P%*CQuc$0r|v?t6gsHT;(B8)11)mJ3yGHFsPTiMzrL{A{in|fZQy_njKk!TFG z{`S>N9*#YeqJItGP#knjCqOe_4#quYf`dToAS0U?%avETJr`fnL`N-^@cPF}7`*{L zSNah!u*(Qryz%G2uWD~L3F~cBq$HE#4Bqwpc?bPxxVln7?O&MT9*p7TF;i?iPaQj^ zTdo{YnD0X?a#3TkVz+KU=L@Ho9CI;r_(EJ_p=hvLN!oVyZ<@aKHH7^Bmi`x9jWB%+ zGah?jYQ)v;^a?o_)-Fi9dX~Zm6ddoB70kC$q%e>n_Ufv(&u_!bL}D=`HC9$Xq$T@y z-DYy(p&W(1Y(w*H%vh2uWGz614#vl)U=yWul=kv;O0j<^`;B*8bJ;poH!B$5DV1|u#0;zyDjQN< zRvy67%90xmJ{Z&m)Fg8lLqpBe&O@}6N!`5_)()4BKthIYsi#cJKjm%;lP|+~9{yvk zFFjjYt6-Hh8tJX&&81leCJw@tmp9QiSy}q;6|`$4ER{nd3i+pGcswUL z7fMLm0aBq+66OgFXf3s4Dy|%Oi4kqykwh4vh;9=cIjW7GuzzpyDN4uMk{*}R3PMmO@Hm&~SDd1GrAZ^^Bp4IDQ-2Ki?wdK27>K z@sQz&5uY?JwzixEE|a_oZ0|e4>dEBPhHu}&p}-!u>in)EH<;_J%|Eo$MVC~W)=92$ z^?)h8&%V6ibBL)A2qy*J^HD`k;HL-sxuv07R-CLF+)xSK&AVK?@~Hpz6=*N_}JWdD#q{o6-ZT1&xa%bBIDKi(d>zhq3gsunDhh$)$(Lw*q{x4GV9KEpr%tWI8r5IR}kW`v2!J$$_-lDqWL9TcKwEcjd5 zBeeWwBru6)kM1Se8~fnVyQ8oQDmCcq=M}p*_oL$(Jh98vuGMx!=ZOT^Kn(z%v!|*g zFS{}Gh!dL901TZ?a=KM?{hS;9?_&Zp#XlKF=#?iG6`f$DJv{znQB!3;ThKYb1Swu6m-p zG~Kh3bJvijC}#zO5BkbeUEk)GmfJUP(rJ?=gNHd8tc9&R$n8Ax20DrPh$K!2#?GRN0+eBxNI+CyZiPcIcWz?1RBu1U4Otll zDC1s8+z`dE>-zU11^ZpYz$wXW6_SC2E`~yjJ**?)nx`aAU=bh(PZ@cjDImF`4P<#rgSCb^`4JL}WTNC*TU9*?#%r1@r|<-{d}ypVE+%U7fA_>;`Y-YQkW2MJ19CFeiBGl%7|v9B5rh9k2e>`XE~vU4UqJ zH(`*~Ypc)gY4nO!PM^xjDaXbe03IoH$V}b^*a}#Du}5s*k+17D%v=*&SV(GWfD-;o zM}zoo6q=vnJd`^ZDIIVH7{*Y|PuxyNlLN?7GPAN?kWLbOWvYFtpvIAvNt96Q(yV|f z_?l)ImAP0pU_!uUsEITW_0_+u$S^T8!vV3qDq@ge=1C&HXi)%(9klHpJz}`7fO#o? zt?@kxoB#-cK+WitbEk~~ad#}-E_%yw1*i?6O)goyI1?fak&ACJ1%yk0Wr}bzpbx_r z6x%QO7Xj)J$k0P!uq28p)=OYqQ7e6RF1avKF~N4k?&sc*AinOEJduh^>Y72s5hGbm zDv%(l8H$ujh}SJ25y8Is@WH~TS|P4bMZ>g14k8cigItEk-}UxFg0Jb)w}+%Ra2 zufD1241*o{IJ%So^xyp}DEBp42wn^+Tdn0I9v?2to4)afZSdoMt@fMf%7L;#ECo@0 z0k#b&Ue_!vp_Ud{VC4j!1uIT}53$r>yREG}dv_OLA;CEI?%m4z`rbc!$fT2Gs)+EB ztdiw`{MiNyQ^43{L^&8sF)_?rQ5K7VBh7tZIV3m~d782hdj$tTfWyB$sQY78r9%Lh z#8I#xP(*eT*ZdC0bRM)osE8>>a19C#rbB;frP+L45w?*`_Cq6FAc>rM6pt!2LpPI5 z3ZVxTO0;7b$muq3UK{E=4tsuzqZ*YgxE6y?RKg)YPV`?=cXJOtT$pMIKQN!h?LR{5 z>hFIUwhimC3&lHjtBZ-t%a>oTX&kEQ2sw&!3{(P%0ancX8A?{IZ+33(1gU<6 zvVV2I3M6H_SvIa)SjWt2VGpVug#dv+vKr2IQdfjj)yJm^#=HbvtoS7o81LLm-0bLX z`M6&i8|fMxe(;uZLnEe`Lk%i{@W1Ac%+zMlZc7rU>m{D!o4;9~C<&po`%`tg|57?7kr!P4LmM?iwImz~5xPSgn&7 zQ>uX^5UKXY$4jIIVO`~wP{~|49TCw@^<2I>BZkMUdNzt(LY;iq1H!zJ*!+@C^2M7$ ztTn*IqljgDyY3=XPm3B3G==^Ur=%|1`Y}=*FAp9LUhHZQ8iRR=#HA^;#es}()E4Yj zAR2>Vux>z_pzj4ft^PS^_i*=hzh8fB`XO2GLA_?KWxY_C+sEoCZYmgw@B(WB+!h!L z&})$8<>SXuhwZ)Q39+Z~+jkI^+PXU0@&nctQR>Ioq>)mPq42{vUkN4vct=&1pd&0bqu>qidDhx#hC}c3huq{_8J}yVaNdOlxp*x=GHY)Kf=ON5|1% zNA`l%NC??d_@uA|d~9-jdUL74ho-jQ2o6iL6-D-53|!BP>JTg17bSs^YiqY)PE--t zxez4yOSZB?b!O;mOgRj=e|EEk dpJ+{MouD_O*6f%;+}wA55UDfM}=XgBMxzByy=R6}+l%8D2A;UosTNXV*TV`I-QDSv~HH(jN)T%S2wxOx~nn#y6PQ>6s8y5Dc-_fGK7a#vM1KCu{ncVEczXPbw| zFs1wOR?7V1P>@)D_`viI@4UPGmIED)%t!2{>=#itiRf@7h=Nof1;1zdoaY}PeDi7L z?7B6_{8`iaZ>`)7FZi=pHoW3R8Evi|C{BG7`^xv!_NR9)|AQV>Ll|^E&U%Au#cSiC5`{DoJh5q-a|L5?_JIEb3G`MCH zr&V>kl{qa=qMUU0!oTz2O4cZEG&n9pA{om%tiY7ud<~5xz0ayH9w+e)4I-(lV3D3Z zRfM8%u}rfX`*GVQrl#L&l=532pqs`c1Vp4RQC&hY~Ix8gZAZl+9#A zLlC3>L_40(`!(HiuzT(yg1yoh;>`oxJa_JdGzoVbI=y(T{+_{FZje*?!i2Id6pbK7?z~7xq6zPEaC`(!0$}&-Xg9zuU%`&qxyz zT)T!a4NFt%{U}YrhgI> zc8pw-{cGD8o5sHPqg-C}&0ketX%_H(We!m+)_ci5li;oM0XEOH8V?<DMvIC6OM72fF4Bp#shXh!M9u_kU**AXYU^f&-mC}LwIxYrzHC6qPrDXaCxT3d@*XS zc5BGpyN`zC>Xm9B&z>6?SGLnkehIVdaG3acn~0n>VZuT!Uj7b#v`%wOF6|W~tDK29 z_Fsz-B#_rON>QBtUf{f3{Kg!Gz_mcd%;XPW(rH6`gpGK~YLe_im^ACu;zXXC&^9G> z>)_stzZpGmllDEYi+vH*uEl+^;9}Pr{S}# ztdnM;I?7j(hZ-X8;+?dpDpny^M#Z=4KaI4L%o&RR%E#mL@M|TR-@T5N8yx-SfmSJh zGdA&DMkdiG4}Xt;qd5#e)`pbjXAG~RC|L#*cG%L*wB4(gjC5w&CytgW{G`@{8OW+$ zW@WoR(n$5#bh4NUI-=2bFX3Uacbq1fTN6qkPOH0c$}}x-bv$19T1h8wD{_-rW=}&@ zqmEB)gY8@20y)dz8w;ZAgY`e*tXZN-=F=_N2P4r0|5mf!;O%y-d#o~CtCG7TnEOj5 zje7t0k7w*LId%aWeH{XVMfenqAtHX9_E{21Zmz2zK2U9hT@~!F>XJMTrUG)=5D(lP~yYl+jtZbh4rjH^S6CtX*=SAVO^GCA5 zxkvb(*@vHQ$lWQVn)Mb>bFE0vU_}u`9cp;hw$`jUZRTpSQQ54jJU!0Nq2ln}bF#4V z_E)Dm^{Z;Ebv%C+9e%sYZZV7J`A=g;A9bJZ?^2n}%6kcfo1!TPYtKuua=sJKvEQexZ=Ta6+6Mre=$CP*mD?!G^8) z%wpA=M*x{pl*WA}LtLv&^O}=BC$#VBt>3DCid`p63>Ms}cDbrmYy59$wsmr@78v+` z<+_CN-N?P`*2Tkm1JBMKxQU6ZwsG8I>eU* zWf;|q=OrXR`$8v2EH;cuD-)VubY8|aHb^tL2yj)u&Hsa!7jc zFZxpyh}$@$@@b5c*rk(-pK=Sv7@tcGX#K%tLEF;6RqQuYu_lR{mPXn*HR4k-5f!e; z$}jE+N!mR|q<}&ZpVLYa_m^|y)8hK}H`_X;<}Ip?eMVInKc{u%iXMh0$Tm7@1WwqN z;wWalN#UzVu_V3UsilBxYQ2RS6Z`ZI$B>r38hREptD07gVEL)8TQ|KBbrmk|ZHpN9 zrOpnAk#rIQ1fflMQNf|*Ph1^}Hjrc4CG1S5Q`&9&O3sWc^2%PY$-~l7wuFI{TJKl7 zZ}+1!G37H!vRFqLOLauHoACq*)wK%zneLklgocK$RZ3Cc^~(p{UEY#6L|QSO@|9Lj3ObD{JuZ9GTmE@S+oSrQhc}D;<~GmhUTc7% zG`9KP=b%sJ-j*rp69z0QEmVuyXC-`A`hW4YZ&I%mV|QL`*m3jeSJ~0gUAa=beCEbi zn>NgfQD-18&ro^)(Ei$;o4eDE=FI`8In&a*LW;z9t_`?JS9=M|?EYPTMm06~sbkSP zMx%I;S1IJPTh)8&?h{8BmUGQX>+Of>2Zr-=`X%bUEbi1|79$sef(%@6n>R8S3?Cskb5(v( zUk?r7nQsy>THm_fe}3Xddk1Mt?4$d6qm?YBQkRWQ!S{5q{GdlE-KiVDCwgM%@F7xcgY-`G=@Z{iPdS9X3&Q$RLSidmz}OeKYg?h35nfxc+-V4ugdmI?njPm zKdNDqfh_*V98Z56BjSWu|AjqvSM{Ux$bB3|9@B{*HqpFeR2*nTzy612PX7<<6jmN- zk^ojJ^uD(C&)@CYXV0FwH~Q_io}Zsn1)M(Ept|xO#YFu4{Os-R_4W1H*x2Uh=Mluv z(9rpoNhLomEiDt%wLjyv@R~UyAD@;qg<{tZ%-=K+Hw=67tFoABQQpId2^l` z>;_F%oFr-K>9e!5AM*2M-Y6(55BK*Ax~`4P)Y_h%onqNVN+XVw1vPG>f*Q=(=aq<1ez27Rhj zIw$m%C5!nLBzn-U>SlxVvjq>nJCvr}q$O|c5~C4>Gum(6`q;X9L7|{(h4y{b_+x{h ztoQu7d)a~nmv{OP^Z4XMUS2-#u8{lD-pY#?FJj2~c4q52L_|dB=vHQlWmTOU^w^L7 zx})EFjavCZa8*X_s`s1xv4KO&)3C~qDg7v)Th$d@NgXCWW&Z0$Ti!7fGm>}Ka1{jN z&W!G5DpC-pLY3@a^J;@pWycC4#R(2+In@#??1Dbw;T3<_3tIiFljf}c)N*`KW zJiPjfIcB$zd*kMnT@kWls|TqmZ=3EsB`oErVXjqf2qezX&KsRlyU;6mP)x-wQcC~o z*_PWat-+tVSvZOH6sp-OGA+;gREfm6_Rqh5-W#Zsny2sULt~Di)4d;XPxHDp!*?(L zl{Dv-t6U*og~~QAL3;KHj6_`5&;sX8IA=gd1k)g<_1X%=5kF-eDZWb?^QH$JHZH1b zX!LYpV}rk%au+S_{|;E zqz0WXMQ_$jTiyPQODRWW${=%u`Xwik%EmO3`mmd$OFgcJaQC!goyS|3{HfLFFJenF z4>sADo3$}o9Y`hX{u0UtX{6(3YU-rxi@zzrFhsAdt!=$H`=v-9FOgMHQZiR(Kf7Ph zT{Jw%GL~LwlKvq4iiV%VyB;HYTt%|4cIMbKxqK+xKVAl-y%zr;f?rLJ>x}D4Pcv-y z&hUA^!x!rV_f$OzPWK)qu_}Yq`E0f^ZfDX*>1<}P^qP-m6uTQjyQS0R90&3Td5l;w zG2(MZy*tg_qw3yI$uXJHB7q6T<2cUe3XyENdL3E=HC5vAiXw%|J;6;98Ml6r@(@IQ zdC%QfLmv~2)W|yKqM?z@*yZ2$3bi3cLrfo9xk=Bm&6M@Ayt+wX?(i-W1oMnq$pZps zQqzaCW?pF&)2c)E=}&DrQ|zX7V!8?*&IS!iuUNOxf3xHx-QJVv8;w@-icLerwY5^p zF4T>)v`hW0yj2AnZs_)>#3X5ZWqn`5kSlO@d3SFAepr2V!zZ7(RFU}=CC^M`qI_nq zc6q&y0;X)xJ>~N;uIt{orhH^6diw1&7^y0ZeG(xae}1pxMTrZO`$=KRg`EeV-MxN< zC11Q3kH`p(9sY|el?o@LSSSs{$f9OyJy{x7my+@;=ryFKjQdbhV)tib90~lhIXO8t zCj5)67vB<_3tyRij@4W{ICntO+!R>s){iBHN7C0$#e}qL4bxna1-95QjIW`F6y`qN zxE>Q`o$WO>A*K5s2|4AA`ZvAb8~YaviLqG++%B;$;d%C{9`C%BLrnH<%Y_r4aM7Rl zV?NlknhBI?4+83MB$~Zk;xNtA{u-T~b)dG0p&&0=RQI|aZ zdx@&&cVNkRSh~$V$>!JI?A=M`nRcRPVhcEL3XA-DN9W?-zS~FF&tJS%(h{D(FEIZ4 z#fe(>?fUjeo|OpoAhR2**8{m5lsao76Yvcp;jIgXC;`T+QNtITDR%s>@CyU&Rd$m8 z{)x-vhvm#ncTJ|@8Kp92J*<9xPwq66>|1icLgC-e3*RaCZd%RL&Wq>x@%oX=ed>49 z4P8^)0gv$d^0{T4$BTkHSf9t`gU*WVu)xhy^=`dWYO&8&DRK1M^mQE}QKMWU7Vq~27!Tc=(b-RjTV#@zVAJfQd0bF_8r$u%h@3|i+_ehqAKSGRAeY;XqUMR$0sk3M-mt=P9+B;|cS_JfJ; z3POBev9E>cVRYpbog7Zeb!q9{8ud1N>2y|IC8Wou^7Ri>jhYuU_PocT!u+2tPjX)H zT01-A6qj>2=O7?uiXW^tMsjk|mny1LV;}{%F1Uslza;F9|7Neu-EL@zYUZIY7O$K- zq+RfqrWpeU^YN4y(e35#w!S_BH+Nf#^(v&SzK5`#Kift|#GJHX` zMTX^-iu_`uMUGeGE3E@evM{U?Jjq!ru(gd~lmgyw2b#fsFCtsc&W4Ky;JV-!4sD$<`Fs2e}zy z5_X>?Fx2gg&1g$mI2j){jJXtah_4WJuBsWRq~y(iVB-0)k$lQ*F(AEPV)y*tmEF_S zckkF48UKxDp4XUkM@~#=gnm!Fi*uyFu|8dX3lCE!!RAj#b8<$he}0_U2>~6NL{jOH z!CIl6+d_5PIKrvn_b3RhU`&8HPxT&J9i9281qM+&XEl1NTt@Tnqm+z{{Teb>X~G;v z|GzvLc|^0>d@Rmmakwsz9);~_rb#@D{rlj0H3?gF71&n)UMr?Yep+;b>?=QilBATdo8y6Xcg%S?$aI|Z%5YDd|I((-HaW+j#WyO zy7e`eO7ADA6}}%y^fIOp^Vg$~Uw8dLP&<`06`sHT zK}*yb?d)?PmeAStqzJvjo3kZJQXAIQTHF6AEBh#XbE}ziyV44Bmjo}@*gAebT_vyi zeBR{Ii!Y1XZZiGyR1BsLeX{T@O45?H+T}-^#YlRq z1z&X^%`=gEOYUj+3h%_fi>ul1#mZAr-S;T`!X9ueX~bteHXZeOG}W~s>f$}Sznu7E z%lFQdsqE4%u49Bd_FRT{SQ4CFjSa4Fb90NGtt)%{T4;uiMkRAx{H^qdmhy1HQKa#aqlt_JD5nZ5s>ld+O*?Pt?OZmE#>ea-!!PDdD$y{J#%?oX1RRHY^Q7wxhJ<;BGVecL`2mbq~0vami-FxbOmM_{s2dy$EqLgLWi+Zu}9EuRJs<1m^_%s+TV zYxLPso*%Am*80hvNSA{|$~hnE*2^Eu&9$+*7vfQ{F%pDv6doxj7x{DeM?}JS*qab- zS(6~1eev^-qfX*25f#^uH8lrL){-9M?FR?VM|A4@gSMZC2Lx5rstUR)!)P2ua2rKZ zkNg=$&LVtW!#kJ2t*d(#tyjx;V7zC)*Rro(wsdQvi3=&>uvg0cXe(Yk&6B66*BlPP(kDZXzKDm*YkRZA>-@9kGS{>Id zPdnyLrJ(yc+kc08`*ioKH|P51vzgXJcl<;OJ#Si+nRXJ%%WBHj>ZRXAJk%>k-`yK= zad8DGlx%D^#)~zdhM&GqWgV0gnri<2ii7fWJR`H^A{{I8^x^$Dxf^`Gt0!WG8L?kk zpL>59i5IeH;#@a-S~e0#T-<)eY~vUIqwohd(J$mIxY(9%-%sctiD$sAo#?(+uaUE^ zQ6NDlIk|lFfQzfja`@fE#Dw9+@nksu-S4}e1QYF0kyg?Z{aIN4_R<<4Ah41eI24=agQ1=`+OFg z6U}R%wPQA$seFDo>d|nO(1A2w!?NZJ@KQoVHC@vvfzcVK>UEg^#^qi4960?I~BCSDL5j`}D6uFm~sAgl?7NU!r2f@<+KmGAgPk&AX<3ri`=cuHQB- z&PZ8MVrqYch131=!pZ3~JI`@NXZwmmd~PHq{GejB@f1eiT4V3ySa)yw?BAo6Bt>QO z(sHkNrljVv^sNGh7A#Pvzvdh3^YeeUo^Q79?eD{Wc~%g8#xb)n9hy91w@#1AZQ+aC z<8JaYkO+C@-eSV~iPE9o(%1JbZTFQ&ZDOV*Vcu)AVnNl_&;Ay^e=kmvNtG6AJawbW z^yK6Opp1cmA&yF{#d?(9bv@uQUxQR;dc3Xrnrrto*FkDj&HfX*jNhRU>s3QkTW$O3hZq*kmKOI?^a@If)sOQI1vz55v1}Y17t_Q3(ofaQ&GXcl zr6%tNc~ZV_xMfi3NQ$@bDU1Z#hDerLRL8|BdwP-_HytUxXS6mm`w@zp92Qn)ircZi z>*>$gvF_d&u%EtYW^Qh7Vd3uTO1<=$`qli=a-|R&^1gi7`|q3prShx9T1i%7)4)H> zEF0O59Bh=sV`Hx7=HtyihZE(xjlNzus46}7J2S_NhZBPX16xy-IeB?fIbTkH^0hun zCJz#yIWm1Ua8%5>>RMOtc3|-7hr7>XngB5|DvH$#O1>~OgcH&7>}x9bCPpYawTO{6 zbiBx|NkbJoV=O$%jw)8nilYwBa)s)+Ukz#kthg(0uOg;std_g?qHY{SjyCO+QsQa- zT}t(A+ScL!y+qY)UVQ_%m$>C2(o;o=*SUIVgcjx_|FmW)-Fj-dP(BpbTmZ#ck@5L8-nVF@~%CaZN z8Iy#eHO?#D6cwhtVbghVP!kt-BX)UYam~GvH0)NyWB%A`RupG6YJ~tNbmZQ;tKePy z@YYtb1k1Qy)B0HqbaZ}-*xBu$yPh69bJuWi_Pja39(f^gFRmB1jTJRCFmUrq`-(Ff z!XLZX=n*%(iW@5NVYIKR1hoQ2gs7Fn%0U1hGKk)g!U$q5l_(edUv1p{_)=MsO0(uYxq zf~5wp;TOHjOZ-DiPDV?#vK{UX^E;`jseysW8eVt?_1`VN z_fTz}^ou7ld8&AwoOsm-T33AiRo_H+t{_R<+s!=OP%;@|VZ(yR`NB#yHfJ4+`6(!n zE%2)>hwJQS>-4E_dTI^NZRzRjZwviu8eDSX*BhGKvU5{Z{Fzkm=j(^y>akB2Mm~!? zP``KYUPW1ce$TgW-(GY*rszaNlG*jWe}8K)QfGO9heblN_N&#$!+Cr|T@Qb9+dVEe zR;zSkFr7~l^=l|YNHIoH$YbZnz84bMAYdsaC6&)S+S}W^yo=x!7Z>Z++Ne9JRLpMg zRoE%I4fZFpgoK1-iNCWIxkE&f^5zZtVDHY3Lw#?v%?dL`FWl0fO}?_lk1hW5-Ua16 ziidh@(@oagv8G7iZp1Yg+s&b^yCh-8$Xx41n-Sw|CAT~yk-;a|bvW-0%DFp7QNI=g z0*y)jiO#-dP<}U8Z8;1|fti^Z9UXmS^o4j62|rlC1$PWuj^faewyycckPu1H7e>F{ ziA-W*G4wdf(`H?}cI^R?+meK`kr5*G6!cx?g9i{F{ILvl^k9MY_Vmnsl8TF4l$Dp? zKRk?kiGAof7ZNh5`s^84n~w=Le*IdU^bnw(ax?!g)urNrrB$szLTGTkPw{6`}gl}yPwQA6880RRccWX)1x7Hcn7V!J>;-T zS@-UlRDR5B&}L8O(5+*In_yxp9GnX?o?4Ml?zm6G#a*vQPH|9SCs(CFdvNmZ*zRIk z?0i|X^?01ae>aMdLFwPoQPwKOTQ6gz;gpm6^b2AyG-Rxb<%CyuGiVMq3NI-CU zCIx#WZF)OX`O4L+OZ-VGDO0nvw)L}}9UYu_aS>TNa}C^_oHy^@y^cUyWu`U+9PODG zCVY3|Z*OnskIfYEVHXvRMXf}3n>jg+BpdptrlfSO?)&-rK2uf23yXjK`nA8mKLtJm zJ9}AHRuC=5V;Vr6xQGaATU#syuIb#+ltQv`dQ`T)p8ESYC&F3C<85N{{cE0lWo0G* z&^26Kj|RPrj8!J)Fx1KwOw7o~*?^@fDO&j9_X#3`gM*baMekB&wk~c+ z$JjqS9M`*?m&;mST6#O;R91Ch$!Yn!$#8~H@5){hn{LmN6JzAYcC%Ui?0p&YL z<(@owa&m&j7}>#jlbCpj6W@^=10#g?%}7{SSV4hRkodRN)l0ArX|J%Gt~zwTfDj3s zt^cKMb>^+|NHoDoJtxpijXh={{(3N|P92^1LwUbU1ggBuP_j!3wk~s{A zR-FI&`s?Z0X=`h%suI9@?0UjC&CMCIv$K662Pu?%eS`bP0*$qtoNmUtKv;VFa4aY^HxVRDh3M9;-KFr0 z!{g2J{Ucvd!wQq`J&u-tG@_#KsIl=n;U;ZtiXp6&DtU^@kg4nV3j` zH{aFuSWS%KVue^F!3+)wxr%;1UA<~lEJbrm_6?*VBnd??7FPL}gOtu) zqrtR?{INIi@f8)7@^f=vK3?SBehYE?$<5ZqWxp?;VKLys@8HTk7;*`SZgXWzG8dr0 zmyImdC|01qkKHjm%)!W5P+vc}xR^;RyT-J=v05xUw;1lIW3JWGW(xzi#YYm z=xA0Bj%2w!PC5oi*{Uj4R^q5`6N+9lE^STC(|>k6_^tZ8r`=6?*UNwW94bz zL_|asYnJzPbs3Qm6A*B5bB~UXC#Iwz2#g@z#0gDIOoX4H!0&~7zjrUIs)~!5`3?0I zUr{k$-oFRyqqlC|5*59YjDpCw;yFHvl2IL4aW?0gp02i>ckqyr!A7WgdEK3yoPd_` zKBIXJa85f62WXaGL6&AkkGozKoyn40Np!pcZ(V8H~1n5Lb z$^QDqp6BVW*RFs6{4qB(Q&3XkefY3czmZr(6#EL0_J%(Zx31iKEu*Tc%FM#j+1VK? zVGP%^v$Jz?sV*<)7>J9BjdifMU)l9UC9#D}SbBII4h$%0X^|k}%!vz4UZWP(Q0^Yd zy6{r~BYn?^)4SW&CN7$}I59z=DCZ^oPK6N<53i)GEH)+vI0;~iYGF-NlQ1hQp2aLZ zJ$;%2y_i@lFbBL&#>gryR`z5Ts2QjgX(=iFCeP;<7W6zkM7_H&U%veEE6crWWc*Vy1_tf!yM7M8uFYo&L`gU}7-uW>aKD>%DtNQdwFqqn? zc=`KxK|w)b%Ha-8iLsH9kqjXZT7qk_%S%g3m&xzGt>fy-6W$4d{G6X+bvQFFDk?-h z>T&kQ#zt-~ZNy_5BAlF@oXrgzbFNf1vg?F?tsL%_rl!k32h-uWu8z*g7#6Ik67AcR z!#`{{v9m$DWQtyAlc0=aNR+d+v4MMn3YwKWJ~sCI=oIc3uk-u&@7~_tTkbw)W-zY; z&jDwGFSsTC*zgxGIPqMTI<8vXf?a*yFxS%~ZG{dX3UR9}cE&?T2i?7!SMJ64!M@QE zL}X@CC8HE&WC{ukui@hpM?41Trl-%Zto+j3izTN6h+t{C3Iy~qO_2I1kKamv;?$HD zBCe%1wY9~XpbRAN*RNlzt6-uN-MQ1d;w(k;R7U1=1R=wl`1l6BGN^{WzNeL@z3^OT zr>9O7%CfSB#l`n!3GiJb;^G{wtzj;WR`xqT<=wk}>tFMH4tE}P@-Z_<=C7Zh`xmO= zh>^WjvUG9bE|F&?hG!d_nCMV6G+czI>F1Aczb%?UOuzpxiC<{)-*a_&QGvUk@Um2`A`{7%@5>*2%Oz0ZThU%h>+ zr=dX~-}h0Eorf_-+SJaDHFG#T+ima1C56dS`Mlx`+@Pqq_$qpkW<$AN1J{EGXqz~= zxa3q+RAgk?j5x?m3JScH(M^>3n05MYsb*4BIorGxsuw4% z0l(X^DDbgFI4;Aqt7*Lt-Oj=S6C<#53HpSOrKA%{``NC*qV6cZD3tf($6 zy>62=8G^ITiPs4`kA;QxL|Xbi)CjDPVH|u!V&wNJ+0DfyR?V zLqm{k2qOCi4Gj&z6S5I9c5+gaIZ;DXv$N2~`M!dSVu2s$e&DmWYGML9W<(6_X*$*2|k+Sb-q6-GcLB?W~a zPS3@%Miw)>oC23vJwtmvJNo{{Qi=JW{@caC!hg?j6_{9rCpIcrwy_y9v!PIciRspc z9Ka)NmTRiSs{ONP@mj2Z4-Y{@sTPizaY0B)=tI5S?-4at`F#vb-f`hTClfzBr@sCU z=GCQwxVk#tHI>^Dk0r7y^7HB0*<+!)gm(Ow2>lRdT5gbNPyn*>P|Lfp=0ZY3&{B3? z@J=KbjAV)=qo8Q=+P46(I(W~8H~QrZTB&kMz}VazYoZ*~@l&#b^78O>&cD{2B=E~X z=dgoc#>JJFmmlu$@4H{t?yW65s4NE)2F>1XHa5&WJPD{3Ioda{FX?=a(vKgv?FzWK zxZJ&a_u936ZFyQ*@QHf5RPNu;>Fnf_x+H-<=6-chDad*4J_2m|`HAQ#;{CTyUw5u_ z@;#ZEnfWK|A8;XVVuGHGqQgcfGf*v5qrM5Kmy$vf(vEOPI8hk3_cK}s5MwPZEpBdZoLe~6*|6>G@qNGs0P38b_W)a(N}*e)& zS9r7nM{BiMVI)GO0b;^&?jsuhxLN<_-lY_@;WJEpJz?A`NbE9%ok~Nf#68(JgM(}@+BB2i{#ac-!LeDTI{zJhxEK(y|8sDB zeEfGmOuOV}ybP~^?k;6gH^WY>A$iTwP0`KC(m(rz;~9mqams-?PoO*i*xsh3+*w^^ zxQYFJc^Pg4N*i3ubpb3arv|;Xh?vMr;sG)5s*FS( zE0kHj9V%8(58_aS|Bj@?q~DhCJeGdkF)$0*IWwaZ5D-wQg?G0bCSfS!uzEyuva>-# zdVG@u7wz+B>>APLoF_onV2_QbV6*C>NMi~C)$;WGm&$DkiJD~qDR_K*47I>SU^Dg2ZwiF&FGR-!T5&Q`EFe6$^0+Tf8Q`fGvnUfx~!%qOh;Y9{FwR2_LDvI z|6Iz6n zURPWDNFNOWb0&Sz9d-rooaDq843ia9vhfz7MW?%)n^&(1PH0D3+RT(zgSbGHg@WF!z+uPep9|(KyLvEEDw(ex~Qv(CU zq=w`+n!4S)3pHYG&FWtwHE|R<8JQ801|tzH-QJ#aN-gMDsLw-h1u)_*vhL1}kFU5l z8WZs{GZ%gM(7WXHA}q|A|1AJ5IiG`GtN*;Mi{wgdR8*(H+s(=H#YVo2x2!&SzIBsj z`m;6G&m0|pt&e{A^7hexDLVN8R~Y)Fd3p7Y*JB%>Xh?Icf~I}xd!Huz+uT*ovxmaM zP1)Hr?Ce9f;p=~nfm?lK*0!;+adWE$>utIMau;G_++|LcD@T8T~rx*tDz^7Z0$xUjz;b^>??$yP~0!ONJK zP~0FoTH3ZLhJ#poI=b5W`c6Bof;q4!_#EZ}TlB2x>+0(z32(kL0HAVquA1GZm*wK; z|5rUMs#|GtHQEncxa7n{DBR#6uI^_oHG)e1@AN#W3N){=e=5V-UESRUDexm6qpymQ zk&>=&ZiYm;$kGzj&(4pHC8VVAi;C{-eq3H&2D~!3wGAcJ|75!!T+5+%BJgO(_L2YA z?yKnG_4l{^92BP(SDx68Myx71uY{;1yJ>pMb}& zU<@pAZPJe(H$Jb38HL~bZVvqkpaE}Zm(LqBg+2xsUt?Oyq;eY=8uSu&sGqf{hH0!V zP=HRgL$mdcRHD994)s35l*uR%pl&}tgOhRVj3E$gW+KpZGU zyj^Wj#x{g2n@<|u^U=C3P@9{m8`>g3|a2Sevryr%vg}3bb3FK|>vj6&F;OP44 zwqrn)@zk*YU+ysD7QaUUhaRj5{87wd*c907zO#RJy8c0|!2QqPp?Vgvi*n}Go|q$N z|3Af48*G6|hMrQQ#t0ThN%%_R{DU*Ur|72&iZLz@_+h&mWqR5M20Kpt-+FjQ z3O@Rs@KWrx0+<7Lpa1wA1NpYRygwxLOYfu85;V40QF}+HARW^OEh@FX`8JS}lEVB> zUfxxtZOO^NXZsrhT_Pzoam4D#8{)D-6DTfm+o;1qG?sao@pfeyjVNrafS}5P_!?-_PBOlAB0!I4VECiIVh*da~y5 z;2;_TqHV!@v$VYBxZk0^Gj{^w96Dvd@T*u^h@%!E*-!w-)c8XSCd9ZZq(!ot+_^v(wwg3cmmB`dim zf10rlwUe&nv)|8W!{iEA0R;>S3i7MO>RA<^CrHD4P&pu>BC9pA`TPF#uOL7qnJc3@sYa8 zes7Ap_VYN=V=H&}i52HcR-p$Ec6WQJl$DhsP2m+01_sFF`{A8vBJud)%ON*JKe}xu zjjqF6APx>Y0Gri1rN1@nXZ6+9-Of+FhS67tGHmVaUPyFQ+4=bRczFqwyfmMN8twb< zOE@0)X2koSoKBi8d&*S4-~PN8_52OA2?&^{e*R^~PfewuR)Sj=?>~t>`17Z|L!Vs} z65H06MfiG>IZ%ES3bjd8O7 zG@NkDeD`jl+VV!2v6q(@(4R%ctk0HFzIFfoB}Nv&hKnF1!`+7Pa@Lm$2HV)-%&WnS z)&u#9>CjBDu(UKLh>^<^blVsk7{EhSf&C4RWoE#+K#k~C^!CN`?Zt`7$s0FrNFHuA z{%XOUPZ^n;tFayh!gRF1nw88YB9ehxfdH1+)oO4yS5q6)H1xYF#dz>CNwFQ9RZlfTwK?nj?BSb$*UR~RvtSPNZa!6=aoIsfyc+*T5cvL*=o!pZW}~l#!gDv^^jk%wT%H6qHh(Q z7F+zFw+Z!<74@CJ1uP73+Mun|*5R=|Gd?qeqdy@`=?HrPZ2-_LP6BI+>AYUTl)p5C z_1M8L0uXd+ocGv?j*I!?;xd%{y{@#R1ROUoPx#1Uz$JrTl?XQW6?m)c9G#OG8MrRI zC6is__p6M&_^WQ2!BrO*%IHM7!mh3^xYcCTRcq};h&r#2F`0v?{#T`>1SJc`SPFts}=AyWe&e=dhICnq7n zFp$SIUwUH5hu;ctKX}l-o%0VQ(mrYiog_q;9%3y&valNx^;Gs;*iUCCU@Dklmflx5EqO< zj0ujHZsl6uOu6 z@zy3L!RFfFN&%(;d-7Rvfz5`Rvaz-GLcJBP2=3(wYbPfwOuK`}QCJAo#5gb}CQ6>P zLA}8i8mi?_kuLSkRt1PTLXa&v17JlU|(d(gJetF9g`&WG#5 z1q1`mg=?_+?54hLZsI1ABfopd9lLsZAk-x@tJRqOmSgyUOHvAZB82%9CECk_v^Y38 zGa#J6G|zJ0KRTUn^zd+ZUx2Fnt`Fc9^S>{n4Hao=%$kOI2fo;4sCE*sfA%ZrG@Xbgrw7Pw$@LST*uba@bAZlM*FK* zuPWTPXL6pz0R=}#BqSxl+VI^NE1aIz=D$%Ym&eS(0qt8b=Z=qCPIej%eRsQIA>l3E zAS1{ucs&5}X5{CyLbdq#c!Q%CL%P+|czi3)USJ!ktKY`uq*#5T*H}}u|NZ%R*ogxs za+83d3X%}I5+>f>WSyL_G2mU~e8D~|hEtyW-3E=Kq6k>?PQ+(scGmbO8)CFMQ40B6 z!JcG3Iywr@pu(}aHZK!XM0Nohnm%Eb%CBV(U=Ru@ z{C9BoRnn`gs^DLblfU)|k~zExL*T%#N;Ft%it6oW-GLWCQxzQ%rc^#o8z+)#_&F!c z9`{Gs0~K#R4b>WYS=&?>yHt=Pe!vR0XX|r>s4g9nf5l_*D0I9-Pp7$So`?D*nQpCr zb<%j~*T)KAn2L}mJo2i|9}#}KwKv9-bxFg-Pe zttd`H)Z`3CE{o=SU*^PqsD%5g!<`!tv$&Rcfm|3*;u1221vb-e83mG&%(xaceD9K7 zgTC5h2)dE14d~-Lz3%Vt-`#z#b!nHzNH4FgF^%R9|0VNy&>!Wzo#c#KiHhU%#KpP1V`! zfI=Z}1 zpU51frKQWD5Avfg9-;sYcrXa*x7xnkzw!u%5Nbn0(eaTnUMx;x)6U9NK7)YfmKI7mH!UqKu*OQXgejOG8{f{93)1q+o$5cYugX&=;nvb@rKDC0FIO>A(*34RYmU|;LjL>5C#oo z2F9V%B8)=qAFXCCHn{W(c|ZOzs^8$;EhLj)QZiu2+j-GAzXLuEES9H+Lw#d?eSK9G z!Mljr?VZg{q37SPP`v7_+5)BDOBH~(suMhlceZ$OMx{9FM4UA}Jq-{R8y($7nVykx zwozPev_*&?!oL0&bn-TfoJaR>Pn=ODRweF457@f|LF=YEc7Z6IUc?Tc)EZ*TC5H> zHo^Cmp)m;SQzr<|{_x=+=q$bvXd{R)>y5pe>ATklzkrC-5)_VafLsG0`RFihP5Ab9wrrQ~ot?mC>(X86%4TYY2B9OG#aJJfWAW z0+SCNL^$1GaPBO&-e^t(QvfVUXw8HdN)A|Q+4XOfl=0O2-cQ3^`$lMM-$(d zt6KQQ>ILs}2nb+2@G=?ZlOk}FcHqNveV_^4sR~Yn^dy(Gz39mI95{r>a?ka(989FG zFH!o*6JSd5nq5YmYp$Oxn|y(#9UUEkafTC`T~e~O3Udr#!GSlHAV>G9{??^Ux@zGK zul!&wd(P>7L*vKVFY$U7^!&L?I;j#XEr*B~_0Qd6Hd=skM$2zI6j z81CpcxQ0;bqq@0-g&}tS`JTi07Pqi4Ug%rYN||9R<&YO{XFLc>XgWIedy=?={Tzs) z3H2DBK-aPPs%a)GDl9Y!f=n+#lF}xqCYj8SN+z3wS(Tq$Hmoca9)AlB=m|GzJBH6;W;>2 zybuKoe|{Xh>&9_ujOV(`p4S{@a_`FSz}dVQUKiZ~eXd}+-t$Ji5|@dw5#)((N1K7B z<|Nol?_YTezXKm1u&%3dtMB080Fc&bu0(7R>1+lMST)Bb9Po`PyV&odQpjjp&b?$mWvg`bGrNYJE1ErD(X}) z03K`eC~1qCN)utX(9_Gm0(guNtdHTOa!R86#Q{bCy35}A+_2D|3vroroC;k2I2pr~ zi~{!ufb{2w^Q?mCXgp{tWzKx|10sjgMneaMcBmjm2HMO;` zg*zb#{1+B#WONh*cM*adCR4$OSSl}`EZN;>AUBk6*QVJ2sA{(Vj7MCEpPt?VT1VkG zsKQJYLM4`fYWAa0FaeA;>g};LWz0hcd*wv2x_<<91>POxM1f~fG;UKoJ~KXkwRORL zXU@8Q76zEGp2U@CSJOjNG#?)g0aS%v1cd&#$5_yK!wLNk_8$A>#qdHpCZAjW`r@#_ z6V&S_8D4`Q>U->MMvtgpvJpqwS6+QYVDdHNG57rF?%043r}{I(fRv)YYJ+OR>d$U_ z9JXQ}Di9E*U8&Uhrsyfji-~JzhsOJI9Nmu9v?A2L!cKm*iON9*`<{sGji{iL!+W>y zX|Jw*anA7ZDx1aXn*~}1^VmKxR`jMGq$U0Vd1uQoDD;H|gS33>v`gRw=??GcrlMev%3$5)v|$kc@>)krO4ElQ~n!JXFRE8H-9}Dzk)yObMAul!TDXV;w?d zNHV?q^#9)Vee3hA^{i#+ocrAOb^V6@+k0ORXTKH}*KB=Bp9^ZWx|GvxoZmCIl8-qx zX8)*C0C!`3UoZCtIo}?h2Ai6b$ zk3rh>f{9-`zYI-T|JqN`Tms`QL+e;s4ILp{iN4h_5P%(53HCq{+98Bcrv5soG> zP&Fc;r?J7J0RTg)8Bf9X6LNA}D5{0UR5)lSzJLGy`*(m((iskqX%a^Grh91U)1u7T zPSneh$^k5~mWv8+Z?LjT72M(i`~dc=>HYs0sgLXAKF`TvLBlrHi`{~%Ce;j|Y7Wf} zl1yy|jp&|A-w`V}H}M%Z|2RpzFZ@qbcBY>*d$U{H+e}vlWH?eNa!{6O17jHX20S`W zVOD`trw-VrjHo{EnMR%zLh9}91MPpf`m{6H9&>-ln-=MplS(2Q&8Oz(*uguUnOR!f zu(7e(8915(UVF{oA32yKf+PamLswgSeGS8XuuxDh{c5MvN?ej3VevSQJ{NVz&&5^Qt@TAfAn470kbtSpQT9zU zz_*}T?4_ivQ$HSn`*vwZI8P9Tq?+gja@KF@JG_T}l$;WBZOHT`+*Qj$5+Ie~wI57@ zih}*6lM|C^<9|l@>bv{c5`G|{MzlN#4fVwQgEMY-6#haGPAIdUdX9tgOLl$!L8+d zKZim+vh8}}jsss20y;a-Ql#-J?>nU0`Kpb0E4THFwPpO<1N*b>7_1pF1x~5}GlBRyeGQa>4Zcc`dC+jpme(fBV1B z>zTG>;^ya9$?Ehc3e3DF@2tKZvO(%zfQP!fpCb2U_nxmq`%~u;n~6cmz~-hQv0wUF zxUlHTyXK&1h5)CE;W?NEXz|5hUO=wv9;001y?PzkLPwSg_bt*u%JXUj3K-k3EANFr zqL8?xskyC#N42wNb2%Tu3}~yF82W2WSn-6f@DEyJs`+UED@FZ{&gz40M2OgCI z3JfxG1W+mDx7vb-dRzPw{f;$R&iNh3*C8(~;0xL%yytA^!_q$H2j>Fo<~vuOb5Jb2 zsRJ!-l&{j6H++oOq`jwtZquUtNczFq`pIS`<1-*+Ogc-Ta=~z!lS@$0(bRMVQz7My zN10O~y@5W6FxS}Bw40m^G!R+}wM2Tjg5xzbN-`C2vcW}tyC2?{blYdJ2Y%M*R9Ac9{T04VIm|sx=)IE}x?$DvrA|fu} zRdsb~-xbPIP59E@o~o6ta5z$%594@SdwbBXQ6IudLR|bc;wCqDh^2m-#^dN{?Ms&$ zilDY8Hk@Et8P(p zS~To@6tn!J@}>W_1(PjB3eJnM5i!TN7KjJgxKsSpC^#31QMxy0w!KTbBri#6Msb#6 zdikBnoI%Z1^{nOgnB#*%SrW-T)60-z_{VC;XPWJrAk}ieC6Um8jbVuRoD6L}z8DUjmhYXh)xbAc}aq>E_5 z5)#e^-a$(+rBY6q`y}I&J-0YP%Pcl)2*HMLU*`Es#R;Lio0?~%_n$>oO&KEl z%7w3&LoQ!aPkQ71jZU=_FTndKJbZ7>aNA;~T2{JEAMhp<=thJD1gK|>kA)#@8RWe# zD*8-Z6xp+X-@d||Q=eW81u@&?vpc?^MXLNLQka|HK(l!I!8Yf`*+HcEOLI(gSGA*V{ zb+z(*F)#ItGl8K9E7+rQ2GkntZz-xuBob5P{5A*5Z#c(*6&{9&h|Va$NpbNkn&WDSA25s*&=W$p3j?#0MW~s8=4cn(_6rqur(G9FdpI202Jr!N1AyII__EpWQcKA(iP&TGC>tB z*4YH3-X3X*k)8eIVNZ*Si$NhY9U`I>|NQwg(C?9Uz8G7ibU?`k+r{|!s9q-$dbB(| zJk-=aAu*Z_UjvA?i`^Tut34ai;Fk&s%>i)*LFLV@n^IRm&$)F=T9ir1s7!;G9@J|8 znbzdf(&!5_(=_R0l9Q`V>jF@C)V6>o<%!Lu1ZrY|aX!uc?|>~&Jeg@)x8L_Kd3tnR z;3e!MtUSxq-mtnib*iSkakoc^x#A<$IR`19zoH-8p7QeX@DS0wn98&We?*S(ku@c1sz-h2P2-^#XL@63i#&drr)e-fUO^?B3-K*xP!!t$rX#|09Dc^jCn&i0 zjagcYd*3S?w54XX;`02AEPFz}f4AZdM!$YJM`wqzn2{(%he|{BX~5p^w{Qo2#Kh*1}_wxFSMZ7ZGzw5)kg9o#Frm^hhbxnt}Ft$#m_Fk@4zfJV?SDFXF;wsQ_ zMX80hUABG^gGTTYN=g{iJR!FUia@zr->P41rFi~)!`J-;C1A@KS%IJ^uZju(Fu)lw zMZqf`CN5G2*JG3wV8h$Ip|A+b2|@{jO(D$rlvf#L9v59g z>&_;voNnN2q-?<(^8p-*dyNE&QBPSwW8E(<1C7|)ZnaMg1HfH8oSbz478M>RCdyzqj2dZD9_cqA^mw}hL`LSqOz2-FB_x>IW3ZPI zp??L@?Oy-;CjQ<@t-edw_Q%svkfZNKilHT|Z&#HNecqKQNm8Vs1*c%%c~Bb&j+7LY z2z%L*ztb&i>q*3(<9vLnYzOJ-mp0et0@cYlgUlY|rXgULBX}%=7hl5C?@V@nYD+ zG0FJFjsbGT_ll3&O{c=TbK)PC4opsQ1}SkpLa&t~>;*3)}jXDZ=5@?TKGhz{fvJNKR^qzUuzWK~qGAw04+g(^G+uqVg(r-PwG1E6|03=lbzV8135l^4)uEMz zptv1(a!nT9E?ZgxtyAId#i+a!1yoW2Czp_r6BK{m{b=?JOt-ZZxm6shSAB5qq(k2; z1mTpnU2C$SJyh8B2-5a|jt1N%LCCDs5*^B9$m!1-L^h^W4`V4=v&k9RTYptR8u7G# zb_%+@vA2{GtEYy&_YY8#UAc(x%`qX<2FArTOUv2e8uq<;8oWCB#w3t_7!iw#>hF95 z4R$N|=5-ptJ|FO?B~DIF`S(5@slEjr+x#eg353(u#wN{%S^QrD}b3vZgP88i(JV0D|wogCacrEkY9HJvY7mJw(-hs0^h|D5&!xd=*>jZ#P zM0b$$4b05iFM)mj_jkV&yNri$!RmE@9|fi4R1v75UcSsOKTJ7hlgxO(rs7u;L__s& z8Ip-uQ@$9aQ+U^L(DE}kH?+o~QbywwvG+1x%*9xK%$%JNXt|>{e(2UnIgivfH{Tte zJ3ti-5W*3I!U^4jA^Je;TdgpxI~r75TXgc;r&`7B+TIXwGfggAKd1kfL&F#~iUU>FJXiwg@FC9n;a9cH}8NggC> zb^ZDY(WC(4EY@z?MhtNk%x)&}v1KpMvqsU+VT6TGHzB@^@gIwsEJ$9M0Hl|KgFm>6u^ zNQ)#mO`9*R<&<#29@g+@S~i%rYiQ7Z`ClSBHm(-_hbdWu^(+M?+YkMWB$I1)^LvKA zQ?j$NCc?80Ic<1Yy%RFHFVo9lXmD^vyt`R3n5C9PMy>bCIufH4$4$qXP(s@62gilQ z?D0fUeQNx;#7hrY3G}i%qM1g5ep?$W=$$YJQrst{$1l>w_PWiaJ@0NBFEdpH3cmId za?IN+Df3>Z4)C{tTGJ2}=s<9A$ZI2xO9+aH>^t{>V7>dQI)+ELwl;m3^zc~U)mE$f zpD92o1^}!{WerqePHkWTA%idHPo(|s1t-y`94kiU!iC-%Ke^~Dm-#LOKYpeqxlT?fMi)lT1qpii&o6bbntmMbJ$T>jGJ))#MG!p+b?bU0a~~%?wpZ zn{F)LGg%))q(jabVSUy!ja}T9e0n!oxpl|k@bMWp>F4!`;}CG7fRi^ug>isiZ~j}H z2|@4_`0Li9@vTaf@Z&P2&-RT}vpLwrfyuOezb@Di z2&iN`{ex(oKS}$pdzcPiBM?X`qR~3k!Z*Hu+}0^eP(ow`^teHKlci%Z$`8&Rxj96* z7+q&t&}%<3%0o|u5)~1Id`))rGMFK|_EzCqp<3Giq1JWs!Kopz2gv;Ihlc7GS-c14 z#38;Tiqypgd^|!b|Eq7#ZEM?SFnJ)9(nm;J{O5s1naJP}2m{=jdZcS@7&Ak}PMum= zT7rmXaUE!R#hW)|oxEn@OV|eT8E|p}C#oa;{Pu+>(a|^ON8~la|NQZ&GG?Ej50o8( zXpolftGA8#+(DM=i!SuH{MHY&Hciv?)J53FXObuwpgcvWlR&D3#Kb-1)dqP0N@8Of z7usEUf%IT?&zk}h0aHMzW}QxD4UKv%yiLH=UR#;#6h#kjMmWeMQQKNnRD{n&M_>wB z1*;5myj}fu5jtne)9AS7cPKOVpb02}jaQAOl<&4kp#+GryO8IZQEF}r2=y>{XGV^f+ zj)!Mg)53gpPF&EW+g3GI<&Ie-R=QbfhH-uk+9`k=bxKYErrVcxzbgjj_gz9TbwK#{ zv)o*MQ(EA#C`rgF&Z9X1Ha5x~O<0*5reV7GS!|CJk!z$L+yb?wAZ)uz@9IUOuBcr{~yeDM5>7hya^&J6O z2zCA;@*hhr-lG^Xn*o{un!Bc^CWfXFd8%q^m`nV|!Zc;S2*4D*3;0^Q*JLft%o6s@ zb-(;Fyqjk6QWRO5Gg1<6GYEjpE(qAziz-I`MRt%caQwxn^1H;#!oq!ho^ZN{JA{F* z?ykm9SeqFB)IW0!dz#9E+*U*VY7v?YT^*eOZ^#i*yRpgnR_5o^1azRZh5M2TNMesl zrIH-c>7a}b=m1`elvHV3(7(fp5cU-4g-)&>`u0HxIr{pfPMip1KSSz)Ok{aKs9&OQ zqzqye;P937bL#$haLs-8@LP3WJ{cKrl)}T_i_~9tlkeJvK)71#za3QfR2u^hT6@%j zFe*h)M7vm5sjf71V$b3iLnjy315A3PwiPgej?OtvdL{~f!`Cx3PWn6-6~92pAC^3`w)W(A);g4n(LO(L5Ns`Te>_B1Ii&kAo$l z$ws#cJTEbCf#ElaSNq|EGOcci8P?hM?Jcz*eekHjzMDU>;p+#joi<+{s&<7GL^S_s zvC5B7PDm!HK_Gcno0hb$E;OiF-5>L)SO5GfE`I5Hy|d?^6IGk)(rzmE9|kVB0d59v zc3w7^8DAkZ>Xjax}!-deT522~a0%Tcipm zOSD2s!4%^Egb!gOCGqi6C{t)pMP1QWzo$(g4G%mROtwn8ZFdl52uk3|f&G5%8V|(; z=E+sYq&ir&Q>M+X#30u4A*&>T0ypQ#k*mmr$m;&PngH3D)C^gikXL9fngOSz49Wbl zKDF53ZDT6(02sB*cEx+zO|?+xsEOwwOgR*cha04 z)6=is$Pm~Z7=DvvgD;8^Igvh5=j>akC0hZF5t^oL-~OZC{i^2EW09*MA8ezkDJv^O zt?~0u-<>|CN7TNyW2Qv-~kt|CLw(tJ{yrEV}2>ilRr`(ZHNjRh~wY+%r zm4hMv#=S3J3YIDB!3G44@cHw*w7qesjz=n)4)L@t+LqvMr(@7-3^fWw^O-hmRr~%e zo7Gegp@w~Ok@p{}R(Nj?ZS=DWP1w+7-48D0*)|t2Fkl3XaPf@AiC)Cyy=dwb<%MUZ z!Jf5d;w1O7{gfg{^M-^QJogDWV`XUxK4gS?eCD-}k0ayb-=JBdz*!4)MY=!Se&!wg zPN}%>2}iT3Fll%b=jH4?4{R7^HdwI}x(NJ(pFfj%UWH4_)YP_Bt{{GcS4v!TsL*z( ztO5Kabv5sbZA;#O=reJWoBKO>RTwO8l4F2m3qd(6T_b-B3D1IF&*)AN!3^F!=xWN1 zMn>Z>GT->?T4p^W;fTPE;;F0a3`YXSluw@MU%o6RD*_eu;Uh;NJM;Z-ANlI4eA~m0 zQlBcVCowCVJfN8NE?h9yx%ujP-P*rz-ZxDju;4xUnswAOnVoM-qzwx2jE5=zo|9x5C zjWm%5fdN`an&c02D}I=gpo33?R}D&c9yu_mCLTzJ1INeoQ8b~|*}7&J{vqFRQ4bzI zT-)#s9|sL(3-7a+hNfYh^lFU$9%5o)*}e~?#r1_2Ay8-sq+y!|j1+{f+A35Cavt*|82yb7p_@H> zXKxa8I-jWOl)ps4u8`)D=+&3g=%rjOc9TQW^M2HWr)cpDOb-~`zynb#4 z;s@X5Ze7x5UQNZzl4w|fDCC1Gjh#F_%Ns^-XMsKlt%fA7XaJL7w~8uI90`Us!!!$& zKbl>PAX&mNokR=z1*#r+o7=KUl1luHB;Z&X!s-Dkwk?G`nTQ8M!oXf^_-?_$17OF^ z)t%8Sk3P@;m(^JgME)n|^CTcBInR=6HfEhDIRSb9DwclxkZ6DU`jzVNjY#RstLGjx zsZyAg7z%u$3p5Wq*KM2LYx_a>bV*jft$Qz3m%6m&MTz)YiH8@$#=K=x9?95Qy?HZm z{lBmPD0RUS?Z@Q+t~nS2e{9pTlO*M=wuXj=v9U3@lfcDo;;r<>0eV1N{?QbK3pAbgAfHmJSr?b3?iX|2+0oAnjxD`vw) z(x?wWp!8+Ef5{CqdsKNSJzPLqtxW?YE)HR##1e$E0I+~2nCkB7k|k|{2f5mOB?bSM>uVDSOBGko-6Vs>A&QE-i_SzBAgowV*^mK0Q#XG^%&u3E5f@K_s_!RgW}a9JUwc^ zUkrPSITUYP3my+f0x`-*nWpv;AbkRTnxAp^a~mkxi!58Jv4bFxn>vYnv5UXr#u}^J#WZSSwYP6-j&8Vku?$!RL-h(H4*D5}-_f|V#>XuTS zvhwTq;#HsXZVpKH{nzG*RW*56XDZ}=zTC8Lxz_*MY0JBXCna`6$)F_PtDo5KhACCd zY~Sw-zj?Z8wpN>ohO&dNeb$I6zD1U6t0Kw73U>$n6b6Bo{x4cpvx@?r2YdTJ`MDFi z{TFAyzW&zP2AbIKUY-yP8zP*Cb2(sVf9HOTG>d*I@2@W)Ma6{5_%S+r39L6wowhwS1%Mk_Gb# z91W&2xDaMmRh^EIKkYIGojk+9gv87A^agwJT|cY9_w4DfVY;lK-X85&Ho8vM#&;FiER3`Rco?BzQX1Oq z@!L4ChaZUt(_GLr!3Z{P#6E7dIyv!x)3XA8l2|EqHVtVQr*ChPx;{Y>lrVoA;3g+=3xjEm|i-tu-veH}6(tRs^ z`x~@==q>Z4MEjfiJ&IhO+RpHE(_8)>k4EgFl&1<<{*16w0XJ&R$6NqvxkE%?5 zj|it&S$eO}Tey8YHY~*QH}dRy0nr)}RAh5KOaFs_T%X4hx{1+mYylk2^cL6#rnbLl zrjz6tK)3d5NdNL~WWU~ZgC zkjLo274d#Cou97^`1v`5Jg%^faSIYehyA!ceO=P@Yi$4e-AymP8Isr7c#a?=o^y2| zr_hi;wS?`!ud)GS53i>h*}l0|?;T5qEgAL}H&Qp<^r~`9mHMZG^g5OW^Mfob({ppz^mWoSMr=9qCD9#^I>UdBj)3xsj)6g}q-60|*%IZ} zcaXPo#3xu@(QMX5)GUYk|HlRO5n+9qzjUY9(uJ1XYt|0=>O~%C0cM4nMK)*z z=Z?JGxgZ7iEHL!NrKI?x-s4TqrF*_<+cF>HiaEzJ>rzqqP${8*qrth)l8@iDkm`Y~ zpIvCLqu3h(w}*rrO}e=Ljpl}d;fm#}bT2z>-a2MYca*qRRH;k7jcU+|>PjG%24P1PeVjXI4+Q+g&Y;)KlJm=a=5a)|Wi&W0Ykx zZuzn%EpKuK%VQhcj$$E3H(C|z^E3WQxyG3oM4S2i`DEL>Dz{7T)fQzt)$E8457&wy zi!5GrtJI+;8-E?M-r^TOtET%!(k*bbF?*FAp%jZM&LqZ!@E-54G}X`*oSu zc`)v+cPVfB#?3cd>Csr}9ayikp2Cn6C*jfsj`_LH$_Ve?RM+%olC(=KODE#_k%ULKb^0k;)m(F_2EnV zznbT0Wfu&ER(^sE7TP?dgR<1r5q+N?XQw}1wX@E254@<>hddp27(~@Me!hBhgKxZW zVtUqaw$Z>SEaiT>p5e11gN1Kp^lh8hn!h=}7yD7;k$q_Id4O4(nvu#Ggjw&5n9gUq z35!>Bj`#}fBljG1VYIs$ZXV~!XHqww9Cpkl(z3MgvXlT7CM$RQ9bL1Rcd%F6Dvwqq&J866;wRUFHkjP&&EJ%0|X-ijR3 zSb!a;xyv*)^TWZ>ckbVhT3TB-TNQ7#ulG5e`0?7{bP(;>iT=Ct`PU_lo+tV3y%s8O zVzEL;xZ7jpX1gHv*35l$^VPLmM`6s$KM-$X&6!*Ls-WPlRE*GgNB3&*$ycY#Sm6$>Y1B?IQ(w|v0x3DppZ$X|AHX|3o^YzKbty+YibJjwCE`&5Ye zt=IgwZkdcEi0Ev%oEu39kh%CquI*8t-+~s+q1Blvb-BR>&lY-*Bf>uu$tbB3&ZhZ@ z%8wS&ABe@{d{l2<+_`2iw3sXSU~@F&a_q96ieQrF^zzuZ<>Q9*ruttjMQ$xp+j=MX z+4e8bMSEkxs`u%`d(OY9JJ&NRgYzd7Sr(PW5j@mvPr(4Q9QlzI;EpH|u zcJ=yZRwnhV)g5jVqIg`NhD^$GaB_EA`{}~3HmCIIy^>zObxfvO3nKrcQ)N2fR&nv_ z`cJ+V2eAtJ#`*V=Io-*0_lgVVr%Lx7yJ>jO^>?1ty%*14>8*^g>&NIg6elG0c^|13 z$tTa{uF*?BC8^?g_QHj_z~Lk126+X2AK3;2<aG|&z0R-n3gaSu&R993S3 zYy2#8;J%g9a^rgSKj&@3{O0cwi(+Ew6RP;_#EJ;epe1SbKY`?d3j77Lpy%ZuF~xsBq8MN8sw+$IflghcMBCTs8cz-ONsCRH09&uaRcg&9?u ze)_Fwm({PTZOg#Pme8HkQP{R}>4)}od(z6~!{Xv#4E|Vts60NdxNXAkTT^F9^T~I! zZY|w>J2)Nh#dM$cIy&c8KEb@)wOWqruWMd5Tnz2D7cmU2du~Rl`JBO6y;g2`d}C9h zE9>uev*MN#gYFgCve$$vPQP-q$2Lb$jt!-RpfR{M~P^>HU;*cGrvS8=2sxFbAh~Y1xWS5apCck1y?v znXcP=@nPq&wo@|cck8|t+$xcx=6q{+>Pgy>3u)cQ?i#G^e>myduX=7!how67l4Rkp zs;B>bY`Zk|>Uz0BPJOrMVYZ6aj1D;!mcCJD-JHw&N`CIzE-91Dv%J?c@r!v?8oiL( zCYkoR;&QIx2q%w^*IH+|SvQ(Z`1^j5e3Vt~&+YzI}$o3|j&FdK%TW>x!e!=E!>0q6$ zZ^S#-XvU4&s< z0jqmqmszN3eD@FRmG1by^^8j-=L<{sTl2%#m&9YDKTo?>4Dz?^>rGQ zO@p2zNMhD4<|Xa!LAd}azns_Y=C8|o=RSuR<31ewb3ty9%E4FG<&CpvisOmeDXl5j zOE#LC(k6y_tvbc4g(k*#x-&$~b>FvKg!KyGj2PvN4r}i}mmGOZn5wr`fS_JZL!K`8-q7#7T(v@WOiivF@s1Ny7>0MDaTYS#`U=>&l3i^d~ZR z`KJW8IL3{qrXRQ&ng7|Ees9)mUO!tg*{cJgB0sVt9X_{mdj(6x7J;}OTig5 zD{WF?rBb_<7hDdSoE5%ykNo9am)9Ye$5;50eq_lESe}ewOt@lvr~Fx${rPKM$LgZI zgW1l$?68v&FV@X#Fj-FtQ_hN#{^-`I{^8~=)>t@&8 z|GmUS)4YW8V)ykQw+iCTd0y`McL@tz1F_(YTd&NoYxHKNxX$11(R}`{L_Q+!&78yU^9_GJEl-npf!<{`YNYSsr7Ya(aF6nFw8~T=&Dx z#cyrgZI8STNp%MVPoxATa#lrqNS;L7EuyNBncp2}37QaDNnTWX| zOaOAa!{+!&kFmKpMm9yA=Q~xxXiYW4m#33wsz3Hx-`+9iQ>rHI*s{c|cvfbY&F8J> zJ@NoT&PY&(-##pM@`r)?pVfE{wW- zGC!Nmsv1B`?x|y1wf{+x{I%>(>!J9Lnu_OLs}0gg@lW$;c$9C=>PUA?x^DBo{QPD< zvH2s$;83E0&z-_fx+}&lshv-Gn|ls0=EWrm3Kn^=MXANr&nL-B&~tL0sRp*6Vpb?eBTE8U8OSLSM8i zwp4r;T@dx$;ek_Pkk@VNQnHV{u57=jSb$oLCe1Ou)~K^>bMs#v)CzU7HYAr@Apk+g zJy?EYR}b^QTi8t@b@9sI^)u1O+JyL;%hsN~;F0NbEPj~dYLHkJ3T6~ffc&-Fax7j_ z4zDXZ43d}+gwsOEW>MS=S4hDfr016J)V_LU^2zc&K&!HJ)5wKfev_=7W!n>F`K*$! zAAWR;Crsa2DU`ahR2Qh2q1KR2UFw$LBh&DFqnw4LgTj|f9cenMVEi|=_*L`G`M2ye zn@tbpp4F5!Ynh5SU-|M#E1`e-m4S@8xzI6wZQh$Z443(g6v*Y1x0iv6Y(3y|+yC9&qqLte;ssv`OerI3a(QDdgcBJaFoM7}fO`vY z8o(hWcjW^fC!oy8pE!K0%DA+@wJ4X6R{M~ZbbEzP0aJk!4>rxwAT-DL8jF|N4etxU zzyG&o{ofw~f5TrrxOWdxgkG`rvB(i#-pL)wZBUmtxlH~ey78RohSRI@D{IY*7h8Zt zW7RwfVq{~KRA zR`n5xPB3eROF$WYbIzTf@#W3L)Xs_4wjKt0;(3$f0-_Z)?pZBrqQkA7uKjsxh2JAD zEE>}s*R4vvcON^L;)LR_|2I_;FUbVqt(i*r&0G}~cPm}h>{ubF#}uAn=k@oR)oCg_ zm%ky{Zn3=MUC*mBlm;C68nvU#h}Wh44=(=V8+lD1^N3J!hj{0M>_%?juFCNGte*IB z@r26N)v#Ss`u6v$t@uPYzBVPdzLH=>alw zvk(@MOyQ}BM57aNupUCM8 z_)Mr;e=mRSSGuHbOkuNLl0H_Jvly1Wn7r(sGoIVIrf} ztgxk|QO>s}v)1C6hXUQj#d~7kA8oldr!?62FfY~!1?Rpj5bj?pZB!J$n*DRlT{1V^ zWm!ky=b@dXbWL$0#--O@A>FrcG`Zh?fqBvIc@W>#NKMaHZHw!tGhgZ4@_VI|^KNB3 z$`sG;GbU-ew58o+S`06e-S`d7f7?>oi}%yaE!dWPkozepxM@5&^}1i^Zi%9Sw;buF zDuGf8x0@F8?1^4F7M6RRO~zu0ZgJ3v{R1{PjaaJoEo@0or8VX{@%QLHHu&RwRJ~*_Uitv&jS2SkwHO!P7QfnMfQ05)Yiiydc5qI$LoJ2-G!5> zyeN25+WeNDgCBTrj{rPq_cqytLj!S^Vw5tCLXn~^YFF>OUDDgwZI3HbY)y_=R}kxl zHHPE%Z${Qo$&98eZ!~val4-ltwUV5oK|i{kXK}KQeUnr17puA^P4e$LzwJ$bBLjWs z1PQ!^UqOB|>TEs?a_d`7pHhe(1P}i+lZ!W;t6?8#F8S(uV-ftgYR3>OC;}>@jjH;5 zUadavk*@poYM3}JHGGT__8Nu5b6LE$@ZA*^?V4NZ6rF`3;9$i8M#gt8tU)hOuwht2 z=6^fW=HG0z(OjfKSX6b*yBg}sLOm4&(X;9?jAqAK*`Jbs>lu_-(G7O>xm2K}fydb{8*l3$ST!>=d zTR7{?PvENmF^i$=f`0=_$}-w=_c^wfB2;NXeijpgEz0C%X~S*QG!OOm>O7Bjfw;oi zCIBnw99Xv?Zq%0U@N|P*U>%39HM)9yL0;RtcQ4R6FPR3}6d~{{QPqITns$uPxinaj z9Lspi(NR$G61}3TnhJ(m-zIYRQ0>j6X#9m^S_WBeh@E(%!eP4Z`xAp8Fw9^a$4Vr^ z5L0g7fdg^RRVE~pGpFzt1SOp>_5@9trr|Od(6XkH&Us|iHJ4zvg9!w9EqwG;KCd5NCl(dD51vmu-BUJ23!{#rufu^Cg%@GvxJ9UtKgvb4&5 zEX>i)4i&(Ihw3Ag>K-`q;iy$(_OWbH)fAm{XYK`nq13ubv1=I~W3mXYR|_V9#m` z`e|@E+P})k%xrx3?lWm=NlB?ytnE@bY86~gK{ztvO23=xmUL>#WPr~kmzs_J*TE}{FzUYaDk+U z0h%6qMR3Q&L`8G;3d!vAzzU!_B=rh3Y2m})J*&ZtgPvGG;K5Vg@bMo%e!yB|$YY$E zV%tNu)3~t*1idxPP|F-Tc(7yYCWip&SfHCP4NLbDx^Xk$32+mfZQ9#jGRb&vBraGn z)II6y>4B3F{KEsP7L=^|yupPS@X$kATTNv2lvM{IJ zS!V}pL;MD0B9JuN7V&tcP%_1f*@+SecbfXNVurh6KKf`cLR zhLLi%_60&34gkT|tF%!i9HRl%fpP}iIbaaW$qCsNXmeAY*Yx;f0ovm*n)pmmSnXe* z3ssk1vc)ARRlw_pGQ~Sv^m*Q_ zwt)ekVh7?Ej)5pC5d(XNUNJZ%1Rvz*kOPPSu{g3tIRhR-R>hKHVj$3;*pn0)iCe

dsvl1GdmigqXL@_$HH=Qfz*Tr$D{VO+g2h<_=$>+ zp<%jC&cP5feT=W(;530eo!!9%glHBP_mNs0v~mriV2z)ovoA}XXo5n5a*c~^K_A3k zprd4A+ccFvh@9Prn_M}ujaL!J2Q2^ojh@5G!U8g*=g*r93)dh^g7QdI^}WT3Pz5bG zZsO2XT45vwur;7Vz{*B~;iZT84(C?z(o>;Jp{GJ316=~H)o^BLz!68s@RwTI^a>aA zbl^<_kLm;QYM1%CK}CWh0LzFsEG#q>=L@W3$(6!VHId&KmfUN zCCMO3o&p^W+;uUIK7+Gwf^Nfs3)UOB=2+#U5Z~cwmhy5*UM0-(tmD;`m8E>w%ZBIf zOp+vKRaG0{a^kXO+K$J30JjQ6-xu0^gu8?^umf=p47`<*gfWQbZxM&H&Xd{}N$)?- z1_p4J<3El!#X(u>|J)(rJ%F`^$v2)Sbl6Xy<3t4TC~A+A+43y(i9pT*Hd%hpae69E z>6Ak_e`>XXeRBkoduGw?ey=@b+>!iMJCRVaF>$M~-_0IlD}n-Xry(*rT7lw;xI;Wl zD6dZ_K_fwN0ct~#;Ejw}TZ+sJ_0lv@VPMPQ_!$HQC^s}Up#^LMvSs0f;;wr3io~ra%?DcPQEpAQd03xpM!(; z>64oE;{f|SxNXhO?%)J`#0G_p^C;QGb@?@%gaQJHd=C;Ns7Bzza?yoq^MRrK61HpM z;USeSn2h1@Q6oVb*y@KWAZYk2^WesMkUl$Obe950wE&dL z$qAf8lV_#v4=Po9*Ngjr!~nQsj#tEUb?!3a4d5~;>o5N!dDl*rZ&Yc!9w1SpBX2k!vj zc^bSx^t_N@An<~Pnhhisr^Li?qsveLc*A&!_IijJb_vN;X}J0jJG(jsW#R>8WkiG% zC!mBmL$TMz8AT$j?nc^iu7OU@IQ^C#E55^nE}=!dpf^-iH(n^x&srA?EL%` z0G~+VTwF3T>mYagpM;x0e~FzgHVG?kTF;j+ke(wJ6VSFP<9H$?!8>`02q+NRASB)k z4c&I723%b*(h*oV9suHmJLR!5LXxO9VpW`xm34Mn1E-cC7~no~%)iLbS65M? z$McVb*DXB$1i87-p~{bk+b5JVcY=da?qlIWcj{GTe0NowF9xI^^6H3FvTzBF-UG7) zaaq|Rto6i16$*c&$%ZeSQe0f*FA9`1=pNx@fov>CRLvu!FjT-^$D6{c^I!lRBx&z1P!$Dh8)QCqejKpy_{z7P||^K)}6rRvl} zTfV{0bHi1|CuuWjGllO+rV=zFgzt0+@6x0yd7+XdwLRxnp6t?_6}QE_{JD*pl21K7 zPI<=D?bFFW8xH=}&b?}*9gTm+q4f4xs&z!&$bXvjWE2WYzpMS$bG5rAb$qS_GFr|O zg^W3Ro!lO6%nUEdWFm2_{-waChQJ2vthDr$g+>+(QHVsdn@k^kQRWGk)e{%>`QbgG zfjX#5_KJ}aN|E)A4SyvV&bRY8KZXaqLEi6QzqTFQZY^b5-0LmN9&Zf;GDP8l!NIiO zk}xTp={@<}2em`IN+x+mlhWT6L$L7UYq#9faA2nANYq}j+eGs zzgvJ)lGj&nz*nw$y?tOc{=X=i!;#JJ--m8?Rmt+p_=ulA{f$Uup&emoU?9;}QDik6 z;`Avf#=s(_VRl0lLKMITOO2uki>_tG>83ZVMVTqKB_$@3lhvVM$AKG%SXm`lKcTMq zF+E*XS!rZsg!~^ChVO3R90FZd&^f_d!NE%35R%8no< zok;;w+t~?gpj~%aAC=+*;!uJHVI21d&v!^}aU9IHNSx1w;0=#yjlSJ9G(EN@=sanC z>IaBlzA%3DfhZkG7|Nxy`Lyjsv>}HNALby(K|M%kK+nnLae5>>dkUJ#RCS6vBrX{I zv9hv?pDN}4IfUF{?y`r#748(*9`#*~*@+DNH8TJIWD=}@di&fyzE3qVU-IWOBcsID z@0L90n{NN-$3gd80(ETt$cOrRvS%tVYh75t@eWAP?Vc@AhX+i~%{_#=I`a}JyLi$# z#v*`&_0S;%5zydG+xI_x1Ijl(jrAcaO3JC9aJW1YL@PQ*xDUB60xCX63Ye z(KDT9_a0%kt`4WQ(Mo*m=m4D-rx2mLsz=I5JblXz=nlEOvqT~)54;x+SZf!&8y^01 zYRU!lPB%9zVJ6rZNhQI5OEyJaQycg-{4#N@6#Z@FIe5Y1&{!WH9Ha#Y4`+T|U0vCf z{BBz_4g@1F4-Xs+K{_cY4M7c;4y9C5ViL|8YB*AlJ;bz!l~d~HvtLKH=N(rV&ofhJ z)^F16T18IC;Upx*5 zBJgr>j4U#omso<*Cz>!gFhEPdeQw|U@%{Td^Fq|69G<%w&RaVNpT%ipKpxnGQ}KkZ|&XbNPNIrdrbxHnwDO7D;h& zDjX1>jGBxhm_XqTOKS*U5)bp7f9ZF|^y0mDO>IrXx+7yVcSo6&{(K&|FwW3!8`*JJ zTs$I+=squ#lhfS4mN$l@D-O*K6Zr*CR8_vNZe6r5J&2PBI{rwUV2;#K@}o39@}1aG zV%Kb~pr$t2&$Qo^VjuYt2|WoIB$^kd`jPHVeh(aW(6Nn6u+h@a&ySvkRkHTz`1tm` zv%;sxMn`dO5c=t~w-i^SQLapOwzTZF5`iVvy+$lINM09~mdFbO;G=;yp$NLjdYF*3 zv6Bu|KmhXjOaGz(x}Mt1g8h@**kFn_**Q3v)HIH6W5J|%@B#Z zu3Y38!C7eDurzyo#!{H+aHKVk85KN9kDuLI{}SRkXnsRq_~f9GPh1?4_?_+VpFhG( zL1#v)UcDmUCmDV5!lNKc?TRHWL&F3OUW;PMy?YZ2MsCOcc09l{mvMC0`2#!aMZEjF zq;2M=9T=XZeN>5l5(PlSGL#|Vyj+WZ8EO5WZb=R z+T($>-7U}LJ0aDIU8~un2cq8d^YXS&-NbgHz>3m0GLn&&&gq%1dx(=@PA zNarogUWK6=G%iUgDNVxn>r7{G1SzB(z%aHwEcp2GV`HPD#>q1jFgTHrl7jU(jHO&V zQIvxNte>Y76j4*-_pjzTxn6wd&Uwhe4DyBs2DmPK#ssUZ>`$BD<{~KFv;-r;6_O1x ze6u_fOqsajT1cHd7e`Rh4U3ZxiNjHH_wS$S)xRG-L65C8_4%mB71U)=NCW69xE~gV zqOb=}lSSp_7f4WJb8D-EqvKFP?qMqT>t=1LEt{i$du9geJeF$TaX9o7ixqD0JUHc# z8QSWq=lpv5ufM{lPGxEHi7`|A@ENnuBu7(liYHvr)I@QPcr%iZppD8A1{Qq$kX%iF z{|*`RE_-GM2Be)H_%VLmM@vh4;6M-Dt=r&!ml7EXSvKmv)Tqg8a%=iHC3Ioo#JZoN zVqEwqvQ2om9O(a|v2mGxRec3^G7;hC`0gpc+5B190pVa$J*#Le)Y$ScebcDm8w z^fa6-A$~Z%#pqQhWD_E@LX>3htSE(K`<>h8_kI8K_O9NydtdiC&f`4J;~Z2hz~?la%t6{(T9{mS zgtDEX?%BngusK1k0r>vbUQ|ZrVAF5p-5AFqfk-A{=OQiF9CY6#a}QjJ=EpF&39sb5 z++0m2BxST^_;%{QF0O4q0@=<6)QX%ra>TFUnnf|C@lK)L4}o6c z?KR6SDJh90r|j$*%=0oS0vR1qUc$J=;I+$kce>vRm+NcV``Fa|`eFJ^1Pnp% zR!|2f*3+;vv$Dp3uj}uxeDj9!NDKPvc#QD*;h0DM4CrP2==&rn=mHiSj$Oz>2t-(o z55M)n`*ng*FWpdqiTeT3-S=E!ZyZ`QBFX5V0;0mpAP_7lSXeMgUU|ygfsYn0*5LPSU5fKBgU2Il2Yw0Npd#qPy)*dzXz>T3U>4fNKjIX3VMT|&=6Flqg zA(w?+KvYx|2~bqLv8U9(?9qPqU6MX6eNiYKcK#*MBw^!wb6{5tCjizZ`LV2q zuCK4dHv_Li-^{GYDIpPGlWD$D?#CTXbNzPuD-wbh8{|S1Dw+dYJYk>GM~g?(A`U9T zxCWy(!MK(L6F33@axq~i&lk=S0L~4+0nRM8wb4`*T8LI-5ug{0nqYbb0>QySLt{yB zuDc(?UX=SbfG9m39ejMfieNv7)Mi|PMU1CTpPrnUK+YeTJCfhv_yx5SrYRpM^Jciq z+*`Vcl#Y0uav<%6jNUNx^dkHYS>T|TV_TI73U}@lJ${TBuhLG-BPyaC9Hbd!pdF3- zi}Uk{c(AduIuYB-;xFH$4Y%LZxADMWL$$tsh8WO#b8=1~{M(g~01>Y2V6PLXdoT!z z%au^e;W9Hd)s0q2VUI04hW*m>^5$@${U~k&(fsqLVQlBkl$UJ6?5A?AA9cetGsC7n z{@?BJuDN*)fj6uN52_^ucG1Dqor!K61vxHS0rmq(=%qw*(F89aADBXl3FCY{7%IT( zmV)uRXfz%&2u5n3w>Jxqvpm9W71Usl%RfMvlLf=JURQpi^2EFlBofHi2o<&lesZ!0jyk5O_3u>SHdku&c}pVy|K+_DHhaOe+tg4xZbCb04fGDju1=VsC^*80hI3B(+?A zea(s0Sh`-=gFJgAw0?hjj5)ikOb=O2YHGdN_t7&Y<>@^zyLpq#7b-b#&&wVErv;#y zHhOjt@84?@HQT<23Q+dQSsi0FOaeg2cu5Ad>K(zP^OR@NjL(r*tYH4&-Uy!2^Y~qRP^iDJqMQ|&*#tci_`xFCgUW+%sg-l%?UOt`FExTxU_(sYS}L+DK+A(gY<-; z0xR53%g*ULOUE@p2x(k;)g_bkkb3HbfIxOi%5``51Kb<9d2rUw`Ut>lE%7RuwZ5UD z$3LI#{oWjMTT^HnaSY!#(F0{H=~~-ZLuHuWA`+g?=WNM2W>Oil6(bglA044#s?y@Lbf4YMv|unG-KhC$fI z!P41 zKTTE^ibCQCe3nbf$^yp9e0VaoL|jc(m3$hqku3nGrRW{#G7w0H2#gn$ zm4E&DLrToLW`-TDpiqyTqWe~OWN>ZVT%VLZEAoAOT-(ra6R{Bc=NqlX*RTPW&Yp;F z0c1c2ZXjTfF!Vr@@-WR!*aU&*TU_K;c&(Xv z2NagIHAAv`^u?0$@*Wg_r*Vb5sqb?>5 zs@*QAo`K9H#82kr%A8BkVZR6dW)*}d(mB4*&6Sq+Mn*-!ixM<8aSLoKLOrE27Dpt7 zo+{ILv#_)K-arq>S^g{y%fW;2@Ee4Z^DL=uiG?!+^pNKNVW}g%4OH2y?Qejw(7YmD zL7do-uyhaH@oJBT^{e!YxbCo8mIF9_AzB69g^mq6iEpLE;2YW~2flA%0lA9sPCavn zR1Tv2iAOBrhumAYZh?$OnQiDi|IF)UGn<0Jf=u485me2-yijc&m-rTJvVw*ZJY|T~ zr@=ZjkM~A+G}ztas#W+Q_=B;2KB;S{ z23MwJclX|)3GEYM^)1;g7u;9SFM5obi~RyZLI>H{D(?LiA_lxQHZ?P=Q@NiZ1qbQ( zrf(|KYFJJ?`K{1UBt)-0GoT9N+RyOe{Ac}N|4!mMs$bEqN-L|YDrukF`r_H8U5gMk zN|bx|6|0+NpGjd4NGnoBq{hV)#uxS;3vRA%t5Uw?0qULv9u3pkj1RAVWIagKJQ3&z=CnE~Xi~0b3rb4-|$CWi#hqkhqRpEe*TPq`t(zGciEdaA%yu~zuq-} zkaU0XH1$}(H7@E3?5>ngXWW))7(u1L)NMzAjLA`~#dbBnF=tE5?{HcM?@M?{P^+KY zJIC}u#^`e4wODaqUj4Ag)H_)7DBWaa5lMH9xg&k_q@kGI^JFA>^7=x^bwJWKF)7L9 z#*J-Fc06G&!!_jZ5{X*6SFXJ5v`iwStu4gqhV9~KTbP<^YG=1=;t^jU4s{|8U~tbG zsjXL0QSo-Jqp1lG<0p*%ezkEJIjt^QB&q{9!u50xgn;oqOg}(eM8$YxDenH}E(Tv1 zqJvaL_6EH>|Fl`cS}N~(uBRkGQdHD!l_1x7x2gsU7H+yYe!TSEArLyB=KYn^%;|64 zImUN^vUZLV*Cml6$ap|X3{5^D17CtlDAFceU0Gir5@Dd^+P-mE`EZ|g$!3r~11B4i z{)JrRVfsr{x6am=tg^HZQL)}8E6Qz;^+E!J7Jpj#f@4!0yEx?~gJV1)1d6u@MA*oy zUSl_*PxIsha?J4>wVuE-)Dfb;Hr@k&|8f3Z52X&dpm+he|G0nvg_Wj z!xxLdNJmhgG~@_o1+9$|rKtCHSs8BMZpB+~d1he{Btonkw+AMLXh=3s#}l;$ZbOb7 z+*L4=Knap4majKEHrCPCNALI*$Qjgluo7hfEj&U0S)!9ig44nx##eE(aDS7nZpch= z(){xlawn%f{w7y)eJ+;FfzLx;hA#n*L4SeDVW4CZ@8`EI!=1|)$3M%(WTWi5cfmRP z7}evQ&%`Xqu~?*>TrqE7_K=^U`?M?$jqvvLi@b6~cIw0IG@Q@YtZ&^a2}5Uv*wSPw z3NDU;nv#iw)>~O!Jpn-C*|S$cOE$1>fAr|S6e*MsAO3luLaX? zBIDaM2D0;xlhfI)kitR-98tKq>d>UtusbvpV{21GtsM%I6gg!-`th_oP=)*Wrrx; zhHJb~{q@D2!={@pR;TuP8X9hTxXbadM5K84)?D6)Exp+462HT4Y`d5N=R6((%9y)d zz+P2QQo@H})=UJp$EK-XX}yhO-$pzZ`bUsC0K)P=!4m_U?qFb$`+=VSUS?)AWBLR_ zps)g`MD0T!kJt|!EDMjOq2Fg6@bI!-N3y!Z*+w|l$IBW$2v|o9kcOY1F6l%;L?MzB zx`Qj=W%C1GCq@gto0= zpPlIJaryvq$r!Df=Ie1pnEibzb7!g@(#xwe>6MlJ=T-+!3Am7$GsQjs_piFDYO%V(yz?19;-~iZUqI39O(XAd+b1#w5<;8DaWRt?v>I3W z6_14pRprBneZh<0FaKd->Lo{(Q$koq!33;DYJx#S<1>Ll8pwI}U+yuJ-Q07tLHV;% zekER^zr7tr0n=(Qem;XRr{TAh&hwzFfQU$Pi(jzx?Cxes=G|>l?((_6HaPtGExN*M zEPlMy{~pBh&-|jI)K1GECI5*TBJ^QIQVl-Fdd|))%g^OX(2%;y9|70j+C`eFPI7nR zniWJNMn(x&Z)PMWk{#2ze+qa5KE@12-sVFS6EECt!9_QsP=Nz-B!Hi>9(Ca}T*!d? zI14x;nkE+jN48T_!wd1W*W10el-qE=4WiG981{iwDM3Lrz`R-rA!8)@(?Rv@PGZz; zEiEwk_j!0;ZNYkI+n=kx8c(X#bv#~hr$kRy%0JQ3-Ph&q?UqwA2lOf#a#q?I9+_Cp zG@Kw5;ro?QTdM|+6ZA>$%xw<3I^Nk4h3~c3jeJ>{{4TM?6{h_@TnEk>EbmAkaqN$Y zon3x)b;88Qu3%h<4`C)=wI$0^;v#QPdPR)qj+IQ#O!=yR^G zw9QzgAKm5NJJ_f&ZCG}{#u6D9R|QM_p`qJun8)1m}li@)8w&Z8b4hS`!gQ$(c9E{ruf zsU{>OJfMB`gAC*nxM3LKuI416SbX*j#P00WY^w5ykL;*;>O>wT^CIPRecdfhv;6hz zz_GHRpys5r4`O0tlRURGG((+W%)q2fij7Yc3mPlCB7|UJFmN?dcmwQ=O}UpU&DtO> z7+PAo%X_yr2|aBY;fU>@WrzO)2g;2*2XNz zwgqM;+1>6%h5P^k=dTJ2_bfiHnZ0rCTCE}3$L7|1>!zE%-Hv8a5!Gvl64pnzERBb` z{mpHtSj9@noj#v9A@+uxm+m+VgST<6w2{>(X&`aR3n!OKbl)x5dR0ky)^-QgMuoJH&0U@<1)WeyujCw$FuY{ z0$>B!p<=>DMddx9th~vC_wZ17l(2Xql8hdUeNl@tIXArBH*C_Li1oz%VxFA$kI&0)Oqc zzMNmR1R=}BBotQ^(`h(>FRH19GI6ogzd4i1d#j<~RvqsIv)^rjJ)$V2+nw*p&Cpdn zEZf5wn9PERmLL7a0^HoGVD5N0(4d9YGRz^Xq)@A(4G08)dlg56u<(O&^(QpE!opBY zlSjy~T-kr%fZsu_C->r_qs!sqsl^TnHms?-Zyff8$(UTx&hQ>Zu1nx;l~SM_tg-9w z>pOkqNQ2=TxZm^Y>bC)etOl9kYa=e++iD0SW0=FEZQN`u!or~B;jxJ(-dumV4*?eX zpf_=_lbmg9B;W^z@jdbvymX6?q0KTr%9+F&o%!%ys2KYay>AZ{#oY7fvsmAx{thqZ z9e|+FNiqHpKi1X~;Yrpdo0X9PXS#~hr@Y$fA6*lQ4P#l33|3(9?cx2Wxi||+kcmlB zb+s&s88*L~Byne;{x`(T7_7NOqEw3SJiD5IT9LBV+0_->IbPC^Lh2!8FTnL6neLye z>9dEVgs2@L^Y;EWVh!w@a4AC+up>ku;ykVQt0p&eCV?cYQQ-n$(%+?Mi3<(=3@d3( zYOrtU%Pj>0^Nb-t3HwCemnP&Sf*XJKa70L;-3DL%Hq`2?i0pVaU!BF^gwMWHim@8S}j%!}$AUpYi6 z-@=nK!1u&n|F7@_s`jD=<5REodzgIcX+EDPwE_oD4uBSdRwj0Kdx1$&0&nnb`%m>6 zdgkW#nxh})MMF$zk^o6){A!^l@+Hvxtm%gsT*|y2fT%hx?FR6tW%2w9;Hz83;?CGs zA%1=&c2~YP^{yPp>6|$IMd(aLW#!9`>HBruyJ`JRV1ny!EG8w@3vQ&ev`gkMmRk-k z!OwCFOPCi(beRDcfD|gV0T%yLQc}!FL-_ND+`WL*$k~nFT$;v{8o+6?Rs&xRgiSOy z`m3cE#%e+CP59wcX@{T!Gqd#IqTS*j7dNK*be+xz#pHYy^nFrV${``4o2Ch?*xIBa z_?ecJh-+BmkMjx&7C#uKl4oKzow*&{ANTx<{`ltity90YHuAh%1-wl?Iyw zW9diFiF?A7Qplq@4?d1UUw|YEXq{XDW*1}Kp_eZI1A3sYK}!QIEmJYpw?b^8rSNQq zh@O%poiD|031_}URodt0?ny~WWU5lvHks85Ih`vlD#DR@odw3WD=P(XbH&>MDu3Sx zQ5Sv;=Bla#T=wSID2|@=eS&ZJ^5tm#ocM%< zbCT~(3mJ7QW5dN+cZvHY2~v!(447T;p$_gM2QUz0HF161ICEW{#a4j^USubtFaA21 z#LJIZXAT0s)S4}Tg1(5GUPU-zU|LO?I{xk39aLku1lqM5MG!SZRV(UCkSBMW7SSwS@{vdiaGB($r@sp+OgNPD$s z_4%{{b%TR4Ze`io%`*0MA5+=`f=r%OZS0K%KtZidB7Ah=Z2f(BnC!#}$&hpBg03ak zdOKO#xzQKy!W}QtMBxOEkkr*#iZljX1KdEYHGn1UPfnTjUv;Rt%g;GTKIHZPv3V!y zb`5(ni;lIG!Kb~b3kIo3$E^=qF>#W1wKC__$4+`B^G-RCkDsCT`7|`Nv-)vR(88ZT z#o1}loN*sH(%IETsSV!a+xWO6sYh8`ri`{_>Rl|x3+K<{ei;7wp!MdVQ}&3zM)|vM zx!~0+TN4v(9qbhSu}`z@14pm zz7h51(ZN9U>lBp&No`bIg?|Y+SkS@3-L}O4@*>X+JdMe>10p@Ie6;BiXW{X&)na9C zt7*k(^Uw~eTPY&1+ajrhZEE8FvAPrt_uiB=PS`5t0;jO~95Z)yl?rM=neD?Dgqyg^ zTB^8*Kzxe#uxl4&5AgZk+{C$xrX$q^y2z3UMXfiXL7*AVMvONm#cfx{2}{LlX9BSz zbzKw;?&DWnH4B#K9(c*cOqx#+6b-j?aP7CIc9`mo|1?vH zD=5^>q93~s7y*XxikHG6>D1SciR*GXgSoafga*vkH#8KdDhz)9Qd#h;d&p{_&uWJW zP0GJ6Bm@;Z!=!eh47iyBXm&96A`U}2ZYX=L#Stk)qiA>Ynj4}!@SIIT zw$;4?UP8Y{=-4p=l^1~@fRlxVOz@t_u6q!!VCudSHO<9G@(hcm2E3shzZ)8S@7KU3 zGwQ1a#NE)TCBC6=21^JrU+r}~9+Ez0F`R`vRSRdL3%5#~f zpcMd>jx^vKHa*opHNa6`kp>KN&CVVZ89;4eneab7HAfj`?>4!;q(!QPqNXqX9QF=O zTaiU!{Owa~tKf+fds01XUcE%~J55u5FY;#(oU;Fhtg|Pg4R)2V*#kKML4kL;g}#0- zI#u{EBG*9kM>YSz!gSunZQIw|o4AA;={Xh-x+(x3PEJwpO>vstU4@$S*+I0y0sFBh zo>Xqz#icQ{Z54gFtA>VeJT|1B`+li6^={qcJpJ;KAhp`h-g4+uVPN^p1lO}pv+A${FfwiodX^cIcM)bT1jU33HL+fO=;Dbe-x zBf{T%>c8KtV`>bLyM`8V1yYcEp(A5h?J;oB*~|Xmv4(4Q7{?wcMAQm^s9XYst`J57 z%z)fO9LDl8dJiPg5)&l|#l3Wj7cS6W%<`OGmHt01!2O;8!@TXCoEefxZGg?GFTs4d z$3|T_6xGaKlo1jkn0@j0^+nI!TUNY?(aVt)GutvUAcj!5wI#@!iLgL9hR2NH6yyHZ zaeER=1(}FMCUw^1fwZzpVC_vGU zntGThKV}7;$irkV3QEejtIv-=sujVSSVlb!(AH@8ocldiFgk`Df(&(V+JxMscW{s~ zO#@C6Y;0EQB!w49qfMj|pB7_waduvxHIqHX!HKd(g3FXQx`l zWMpYVf)U*LH57q(kt|5+){bE7rfN=;dP+8;z#d=IBW5~IaU>DNUa*2 zn;ssp;zj=qO-|zBTM)wb_dl05fCm5j=qQHNx3$V6PMok@D}!m1zq37AvH+ zKXmke0v2?sF)F|gKkYd@eb=gkQV((6z?o7lol>d4*eVM8Rh{hOCN~t(=GN9lGlxL# zV}8EoT_$u<*vAM{Qx>x=??;&k2toMafU*mWAvnpn`}gZWM?gM&Ulr<|uCF?IkNXR* z#nK!;^zmUiV}H=T?JA%BN&ImJCL5-w^V?ePFYqdS1K31FBn|{ywJTSu7^@He{mZt? z`AibQ|0#=~&72{QwPTr`mfDU0B*l)MyPK~Em9a7-C`9L)cnlPw@p_={O0Co>)Zx_C z;5{c^E0K|91)Ei;&)p>?r3N>RHxM1!4+<2$)6p0I1>MNv>a;DtVjf1mN|k+qr4C+Q zupuIe*82NXc|Qydky=$aEi~vbVA#^urpq6J+*w;&MCI(9jVU$0m)teO$>r-GhnSGZ zk01Nk$7}I#`y>;v0!)f~N^XHUv=lS|Amo#H^hAuV^;{O_Z^)q(tZ67~e)pvb2!NTi1#`H8CzPI=Ss8+fmSi|9mBCiH|rfaxH zp`nXXloz1n{{boL;FNkF~r_v#qlld-MXB_iJzCdxXjpYoa- zeXDQd4LJIr@{|3Xz6x{^N|*WiUnE$1RjQ?A?e;9~=ga!K|D-l?HRku9XZC{SL% zS$>UHSrxek(>Cd3xdc))JhbOen28|zjV&zR3q_P71>@l3?e7iVB~rLk#8OjHp)ZjD zSpX;12N%$Gq;AsvI_EQkq+D{6T!8g1f%t&&0MH&KW1StQ#}OQbYf|2$7~mfb&hVSN zh*-gBxSRT8^(%1w{`CtKxGjad&GCC73hdd+Dz^g;mzK$#rm-e3sN%^m)%mU z{n1g{>gNuU#Dfn)D$U&v|D+oD_=61Gjh7rsShebt|HODCc!b_m&2xHU4Y>QYLDIsz8g#-r&$Ej022c4mf;OBip5JajgvL^6bA+LAhd{};4v&?VegRSAWcJ!T)gX|)*Y zC@3gCcXX%&VC+4I=S8}%-n=JlANp+sn?n`0CC+WLP z#;OvozLe}$7qRK~ba{hNI4)mOMEwuA&E^fOSvW>aWqapk@$(f-%`j>1daRo%Pvc&q zxxeUxR9Zpq3(XfAtjBnA5X1ZRKwh}^*J)WRA#n?>|5GS)JXI#i>#ZD)5`)^91=)m)+!@gGn3EU6I&fy4V<9d1&FM;RV<73*_%v$p5Wk+OZkMB@~GrNh?x!@+L`P= zEEI~S4rGG0G!QM|LpK_CD5irUQUep+Ert{!6z8e)pk1$B z8^!Qf6`cTc5Hgz=X&n;e^l6eXZ-#Cjh`ndgBfp(F>?;ZikhfCiFTa#b8>i2rc?Y5u@P`zk z=lSQ)@79)!vO~@x{dz$|r-TN72gvCtZ0Js&-b?2P?zhJpsxdd!#g!dv)~81KZ^RJ; zo{V=yWa(QU&nQwhOw-UhAS=|VtE-cBOcYU7+W!eieEpJPvUSrYqNq1jQU`zFP~NVu z@3V{Z5)TKxe!-}%qy1sr-X)DFL}d1TqG)tD=gWJ`ti6F*G1oO6Z$$JyqAD268nX{k z$q`q{-m6J28Y`%*bvgazE(00&QC*o|5f7Y?wCJa)>0Q3ew~x(grf4yZbiq1(Wagv} zyHU3vMDgO{5>b5zE*MB~kjGkiB%Da<1zstqIBtY;6m2wJc6sq65bwJqFieT+3&8mm z#zDyX_8`|bG!=Lh5+M?*d7BXy)`9AQR3h1K(|R!5_~|0giPNXoNOp%%myBG9zDS}) z!I67>-w6FSJKGN=!-o47cGKUX$QJfO4G!klV-r;!e2pte#PfYs%(A!oNUR~%U$h-;C=xbT&p%uewr+OVliwh>6tGY z#I1RdNW&SgVSJpHyC6!ytLB<$3}KWrr9kQZe=LT~Tz;abCd)Jp1R^#RL%XkuPlp$? zS_EILKg+HXQS1BUvi5&wkrswB>2m!0bUH0s=FcA-wUy)v(c@95v<&{4=k)jc_Va?C z?g6^B8OH;^(J>aVEGiwGYmQBkS)DrEp1IoC-S4(i*BU$3oj*4WZs>1?OZ*(S8A;s- z5u8V}*z{=fQDXgvz#o6BJ?8~Wzd_qJI$EGAgozem&*jcM!f(Mh;aHn!;-Cqol=76P zyc*F~!k!wLGHWZ?&x+FSOV$(dc3()DF@-=@$Y%WXX_saJAQd(ZCZQuCFWcIf^E?DC z!%lEZhz(Le_Q|UTRIh6BXE2&cy;X_Q0UnGB2v3&H%gKp|jBIRZI35jCftNZnSQ9D9 z$p9$|!JZ2eo_p{=bYW%PMeZ`@Rq_2i>$0}Cz5@{hif}VZZER%@J!0=EQPJIzSRCj$ z((T;&;MW}&mlc2{fC_>HCLlrD%ZiJ`-s&355{6e3*1sLa>ckAiO|(TiAQH!t%VBOslS!a8-kc$5I@GR=-GT0vRfv9!Ck`c`sjL*b4OF2#cD@RMtn+ z!)CVr3u6!dyON$~HiE7yc(#`B@%7ftm89Ve+E0`W-t<#^ z`Cs-QIV&Yo@t9+tC+9z8pD|1c9Y41rT;lXn%g}wjjDj;*skCL+l(yxb?eiIt>a_bg z>-W&P7?lVP2poEsy*YEXQp&+FlfdQsL_WJPz^eL8T#gq157*G4-4eHxVWI+((dtp*lyz5d{qx%u*XK~Bz(85tiJ z+KuLFH;LF!=0a{`O@rkQM^Bt^u(JapU}IoEX+-@Z?_GobG2w2m%V}3O=l9vKL}^53 z=wE;N1yOFn`j-VG3>I0v8oa4Ke>i_?uH%7@$7RBLRFm5{rC?i6nSuhT|*qtDmNE1QXOnm*Q0<>@fGpvx92wysV;9xds;^@HK)x%Cg*^}l#J(l~TRZO>zl(-96;d2=oPPw~>7 zPnf@fR^4xCeL@0Lc;{%4u(t_gGSI7TWBnE@dF#FNQPnFibteml9$HzBhh8ssZLkX% zzL=$7yzJa*bSYHPNH;xCO3442CdY1C7h;c{;#KXqk{67DSvOVV0(GwnE@w#_5Qxed z&YhIwd6MOnx4Adpv0*63)z<>nN0qHL@jW%rrRy@ZuLbmeL z#=jlvl=xdAD1&KWwaZg`C?@808k^YiR?+#< zMcwTZGsV>P$JM9*xK^p9OjfOVGOsvD)+Rgscj)T@*~|pd!OuGl$Csv7CD4sRO6 zt5<#8B^`6RnxdE0rPD6w{k50bCw0DR2N@oA;NSb%a>s!Aq8~;8IWxa*WEd9Y>Qe|Q zioKy{u}rf+;(l)R6#MDBFf?1({`>3u8%=M517e9uiM;2NG%DXne?HZh_uADeD_e|< zugUmnr`83dlpBu}ukuOqe4VyZSX4>Jo1eL_nYrE|?D5uA6s*EBVjyiMb7I0ZpK6-4 z^HcRXhlx4edhC2w&*IYl8FNQ%Ec8lh#M~V`eV5@_8R{jref$2-7;Ulcj_uni`$*6G zV~AS@}Vm)CW>^tNAaF6niZf+hW5 zBgHe=jx9kau<>tj+T*42o9lPuWp)YMjin4R-qyHq=tt1{cyQ^Tlefew$KsY}?g{Ju zRog0Yf7om8d34JB^v0&ARg1*>(xP-A>*fv9>FFb@cQn4>ny6N0pdKRyX*Tb~?bCOs z;;+Yn8U5Z@`2%hI2b?^%E=8(k?^EXXKD2OZnMmNt(o&XG&N~snecJ|O(4Xw;caJnj z$mKry{Y2i1aNgWK`1U%js7J4UZ5SWF-@DW<2L-N!?v^qUHqi+Qr9IZ@3jDfYThY>6V<(Hz2P&B;`|#_qc|}o1 zcB(f2y}SN(BOIpf)7vy@Cx5uNweF5yrqAns*=0~K`_mxfHsiqY=t`Zfl@5zf7Qxr} z2HgJcuPJos)0~+6De#A4I=h-?b?hW{bW3u_el#-3Sr-z_Xs^c+`7&~Kc$qp+5+jnA zehBxt9jEbGyHNFUeP6ZfX=7lvOdYLGRx0Kn`7x|%1A7LOJ6NZzHYDEc`xJBJvvB<^ zb(|r0S`M4c0|c2!qMAYaR%~^YRMq%}H#Aad`W#{BtsJvH*gR2BEMHg)DPPpDQsy7w z^nJvi*64kaHR2M7cZE>AvZ+q>pN+GgyL`#xEO&5C_dTm-`d}4uD33``A#ki1_7__% z&zds2=!XX7*8bGK>|kjyYMGC|BNd`|@!ao(YY+<*7B0+f{+z3sb3I)hrJth5Gr{4@ zaDLouVL-{|>Yw8g+orY8|5!55NWt5fPz$4_RV4bh=m#qv8|MgnTR-CNx_9`Oq|#Vl zpX*ARe78Y-e&^Jw(dvxx7)O2Xq!T4Z`*>_@R8<|v^F0_pcOrbzqIJnYGfYqE-0!=H zoAQ2dy7}#>Y|qkM#{2p`wA*N+zp#cZ7G_E(6`ki9R%U9-V*32!_estv_0GTa@h@L% z=3L4YWRG7zH_6B!-o+ke!5`t;^ShUI7x7(cxNb~{m8oU$D}6yXgS@{|aVl3fL^Ddv znRXWwb+2orWa+=YG&Muy$dM81)Xx4=d)=`qjfV4TaH>vn=GpUM$x7$(p4KNlH%Z}f zb(0IFYf6d{ouRD7=WRx5m?DhIsGdDiiq|W0AN&uC?(gmDN;Sc)b$#wvZaP#a45(^L zPqQ31Uu6HCK5^?zl15_JR|~3Q$NAFYv!9bYSQJFxH%B$?3Q$lsN*~qA&hlL>9bvm6 zd`GIVOn-j*sB-=BjPH_kH+Hxmo#(?aEd#X=4juV^4FRnzT_e6lr6g-M_jBey`|n=i z52NpN-4jYf5M^Vi{4jRgablWYo@G?oO8ax^`i`$wf6mwi6L78Y7GF~g&I;N5;z|F^ zQQzlX{O~^Q4H1^n;L$^yBZol9!1~FvU6(H9>CxS{QnV;qUoHEP~|JCB^ zbH!yg=fy{1YLlVyJ+XJPVpyw)1{JMk-N=#j)8r&FSM~CSHxopy5UH&rti|iBw1?;# zEU$m~#LUHa$=Yn+9E(L=m40W>Dc(7w(pnmDuI1)JcKvhXEkEOF^Bk++m-M9_E#$es^Sk zfBZP{UGjffE`cBN?zx=I3dy`t>^ah6^*OWXrm0wr$FNf_U?qlOx0WAou^c$CL8&gx z@`%_|l4ab{uX5dBo5{P>%>OJLsh<)<9^DL4OwZTS31V)%+|e_Xq~9@ozfeBjkL20Xzpj6?g%Ekqq|qNx#n?3xST?rIlJ6Z zGQHOR%4btE(bH7qw#Wa31;6Y4TL}1^)))9KtW@m~XM1ritsoiM!13|LbhU>ss7q7zt%$ab zQ--s=B?Ygu`0|NERPBP4L+NR;c3+j4UJL#CFFl8nF8s!+jyGE`#cp1XB#~vC7>ag7 z@@xFW)=ta5q;@95FGb_Tu~89cbA_Mm9)$n*RU=*>l?O9-@=%3u}c} zUze~QvlQr4x)*8$%wuvxj2jTvU|F2O!gUH%`FrQk-|A(+kGXq8bxu@`YKxDi z^lz>CFt+IEZ9ET>2;TKYV_)%}?Jq_e8;%}Lev)YUz{Odk)PPpY@cNf^NrkTcYNiaH zclJ<_z0N7$bE@)~Bg-kZqKFRxT!YfO<{t!wgx+jzu0fWQu*#In{x{XQIoW6Febcyz z#gi*N9$V+?3RDNb46BNDo-MlZRGa9eZK%cYH_YSfwe*9xF4mv6y-G(WmtjLLaJo6c zv?Tib_hepHzSv~m*y-MujAPBnM2CB#+frddgG61}!tE-(5I z`*R+DD?G6nV96EYwdeX#1WP}-hcH{u#gs!E!`o$-f%YHeuK}w_i`9Qjs|`;zjV-bW*;6tbVa{j zgm3t|m(XyE<)Cl$x0YVm?WaS+^+zUF#)A(D#HkUF<+?*2zus;qg{S88iOea`a4y74 zIG%$)@%L1(j|*4-$+>OvpYbeSQ0ytGpvC)_137`c)NE=@8O*h zsywn+$LM1z{yj~V>yry@va%;m_^5j2@8R@qSAa)h@PQKbeS<09_#7srPflY(dS|}> zUV-@UuSqhibLggm6z?{7He0T0)50-I1Ih*bg)!l|XU_{t1dK|C93FbXQ@pV$>}7R{ z^{eaZwQFJ97*CqlAG95~IzcV?=Mlf{=uM-nwC_)1ZhcHoroGUX>Tx7}^xAPe)*ovR zQnl0ub>7gDk=dAfq?L?uIc-05U!Iqn%su9$sSBgs?3vmV7lkt!R4A*Qy1P_ko@#XS zq~1_`?w-kg+@?=_N-MQ&<8{n8qhrRNLd^K2=GA;ZeB;YEuHT+HT1Ov8lpdf9%-yTA zK9w-wTSF;&laKqjDkYiqP+$7_-A8j{`CJTG48N{l_)(CsF9=H_$^CJhaeGxEJ#ojp z*!6T~?a+M6L96v={FxEq*XciL@(0gpk-n4d57^G_bnUiRp1AB`wof&&_w}(m{W`az z>Mc5z^O*hU3*L_wnfn^N|4ccs_tNvOxT~*}ODXP46#ts%XU~lgiaD0^wqyqdYsNlT zW^#>}xqdu}+D&D9(~@k+?wbcDPiV^TI=X}WbPEMNnVh4dzC|BbsH4&|MYU=(4aXZg ze9htyb@bnVqHxY)1}mYn`cN^1ne4EH6pvP9X~%w+rq1oOk{~ zspIASmkpdxzvgVxE)b~W&MuXRXxMW^7$KmzD~78f|dcvi8t6T_1v^j zwZ5>Rb}2R{wb`mPlakUj)@(<eFw} zr6S46{0~rV=j9U1b*-J8zVR=tg3gUhjTZm#>@Rb+ym@PL^iS()-F@ou zMm@9maWF31%xSI}OvkQacxqTO%KowxWt1 z9L`OC6w0$1d|hd4KQiBF*jln+dY$dZDl}W8e>TaTgxU^CyNu}MbJg1q__bCfebBm<6K7Qhyy5P|F0qB)y|NOjSa7L!IsNhuP{T%;FQP1V&Xb0Un zYeOR`N6YEeGS=Lyk}iv18Vokl4bM2184Uyrm`zTU=1za?EOao7yuCyJ*N57XatEu! zx{~+47dLNgm&gk_Q{u8wJm%At*ky1zCic{uqP1%Y$7Tx^X%5Kw5;R`?Ak+!yolv$6 zkS{qf-8jujhGD~r&G@i0GW*XXbNqQ?Fh(I-&bYbEbw zukz{q*PUOIeR^XmZ&6`)Y8g2BE*kFI3VeDuCq$XW7)` z^BbDxvP)~h=QboSP|{sLUn67S+g{jI)Oya1;()vN!8@AbbL0cAHFr|pF0$4!a z7_=Ka-)`UbTl(v(iu&0s{oQ0_t;LZ<{()Zy(w|@HD*6zhL=-%(dbUJxd-|bynV&Lz zJFUgSVqX78S3{JG$Ru+liYS9SYfnTJk_Y$;u$=Lh*66_EoeZ(q4H9DNk$ z?&)w1=k$T${slXx!log`Fm6A4?{GtHuIOe!iFhzJN!>nik%<@YBuh2&)uon6Km`7`HQ z^$dsCL@MWPQ$rf-vNAe{u~Ry5g?dE=A+#F)FoHC(jj zmfq7#ZRbwDx4u$mH+jGC>Du_-IVyAJ3i5?OE=Kld_C~h%D@&q^eRt%nyW*evY}U%} z*R;eRmHY76NuYXM>cP0VaDF85KylpTFzdjQX&zOl2;Hb$Ys*_as_vd1kH0H_xv8UD zTKh59zFXB=YUx;jO_b#CZGE{8dcSU^N-H+)b$p&;-`8)*_syiK_|UkwOXC#!CJnIV@rZr!bS zwX1U7Sbw~K-^|Qv`-MEcb0KkzYMxp*8?y9_ehgks&+}hOircqldX9T5r)y@UT7*dB zKL1cOz(vb6mzGSQc5vd-v1>Y)wV%lA*Oz?qOtkvU>-8w=;9H%#ZlJj~`}l-Y`8{GI z<~)7AItL;N;~u)f)aSKbh1x1wYHzabB;oI=Xt@IhCtIhq4t0L*U$Sm4RBTmhI)0-g zV_b{$KLexcI=CBKm1_FRK{GqXGzbB@3Qtz-NBCY!A1lX zN9~5y6KJ2k~vam$$7Tds>zH@ zY3Vh4PrZYSiAfpf&Aif*JM2nJX9g;lde{Amn=ZE&<8D{qQ9}2_2JWX7p3{x<>$C42 z1P-$W3q7y0H_I9-AR&Cl`+WMVTDv#pZ*ZSJ{6XZn7BJLmHUd>)U_`~7%)9?#e7@xBx=z^N(> ze`U2FU&=6l#jKR*&+L%INOgQGE>2JlqNX8ao7WV+ZU(y5=p`NfvP0faDMKuuGI}}X zQku`Q2~VzYlEQFoYYwD9BQO4&KXoiiJ6XyhT#b?&@suDSzy+0y9HOUPBLf3-(OI2Z z%dk%D)RjlATt-D!1=#Xz4DOAoNTuiq=-jU#MFAYexc8mR@(Ty;n`3*Ym1F{%hQ+ft>GK9e6O)Vuq=m zPLn4jG=WO9TOY6U#UH9DNE;(NrgqP zV=I4D{G>x!g4(>dl|@40;!t3+ZFnSpeDKX}pYZ4aOxO%a(|@;GC4 zyKv(&zQGpDa7TxGs^!PcO=+n}f(Qe13R7a^E# zAMa{tXk8OGG&eW1&lD1>MRHv9?70aR3&~tX7G%$xOv6>}39V9B%yknSA%+mtt2)li zD)MhIDrwShbbM7<;nw?Uh{c=5espLzap-FB|7j}yM}q(x>UefQ4z4$J34 zDO@|hecvO`(P*ga?Bi%_Q`SWiJ`6fp1*!_i1qdCQ{hB3)9dp**B{X&6>eEc>iBjt8 zwPVjyK$%wZ?)eJ8&46}cjs5UNzMP96T#P8!`(XRhLxd>?AtL`SVt^9W4&FEf)c~zq{U|vtz%t)sUZe- z^tikjq}*l|cHWd}FNwK~ZjlGtoT)*=xZ!N~it_SOme`Yw_8j{7#w6d|DWitw+NABm zaWwP&K9TL(mlVjZVLI>~)Lh&{!E+%sQ?@8i1EXZN`U8?Fc}yTVe02u%Nmb!z414k9 zBMlD8g#au@4t*8CJ<9bCl z(+h@!^g@@N!u}vC1(@emW^de~@1mEP>dHW4Ib1|JP?KjZ@tF3w&8Gnp(!B(o7cLb7 zrbbsG_U>;N1rP^8+s#H$6A8mezZ1(fi`wgctmX;G7-g%e|crd zF`ItkIdH=&>6u$y`n>Mk%WzOdAPs%jFGMFO^ zEKFv5Mv6ag`k-zMmz8iCox;#l(OtRS5#MN-GFUDd!+l>!=}${^AdVImUB#JhY{)9_ z%1BCC=aM%cX(!`joVUPnrIv4Yg8e`W#CCZL9~>_EMl7wFF!QsbeG>qTZe2*ax}Gviufw8mPbEc0Gzy9207Nep zF;&Zx(1YuKxT$oER3+82%S!vLbl5?e|K)&bX6-t7az7F0Km4(qvp@Fsg$paeN(4Rt O;c>Kcwym=9OZf+;Xx+E~ diff --git a/docs/source/tutorials/images/EventSynchronisation.png b/docs/source/tutorials/images/EventSynchronisation.png deleted file mode 100644 index 76a34340c7a872afcfe12ba9b2aa90164d711287..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 27951 zcmaI;1yogE)HaSDN;;I3mTsiGMH-|Vl z7)Mbl6$Au?#dU=>@GFLsxQ3Imt%;NC7YAdAvYE4!ld*%L|2QH9LJE=kAfn>7aM0?h zgE=?*+}>rKFjQo=7kJ96V%(B2t!1DsRYs{ssV1Yv%u}c~%A=Qg{Hs=>_93%mI_IG+ z*di-OaIAAddAv@ftWzdHD?l}%UaD30r}HO^qU2vWx&AO@FhO3=2wI9KWWKU|KpcW`mbLOUShxe z<$r(qzt8xe)Bo=?!09dMf?`6;3>@o-c`fspNe*Ua%(d7nf_YM()}DC4un7LA^e^w( zZDf)%q&#jSF3&UzvVE$Krlvgj_pkrkGX?bB^AP|JacVD+1c&PN`*jEs5_@hG9rXY~)2re_@aLri@ni?-}@7K+V zxzlu$0ajaIRYk$W_YlNzmv)%tEPF^}bfg|cFunTw5&1LGPhF*6)=!?$qQBXO3~Or` zhRhz|@5wl$TBdMMF|^%3Ct|Gj_)g@Ao5A&PVayNv;*aQir)Z1P4G~Iw^Xm+t+4%SD zrNnP?l#NM%WTraiC*%U%Sw+`<6KUTqn4*$|wGh^w^(6ty-+UhJt|BOGiRfF{yHlp6 z&^NbB3ast(F)5Dz|3ndlPO)`^Cf6A)>Cu0_*_c|pBkbv4OKN$qtLNhO>rTGLJpC~x zFX{_BVk8?Z&CVEc)3*gHshs1Uq1iykGDUpV8ohoDv*#v5#DZdr_}QkF>8o$Dk9b#QkENSwbXe=j5$SaK#7`QLbw1zPelOuB(adSZ;r)CwiG(PONh*l_-u`ER znuJhJ!=TRW5{kCi@iGGMJ04nj&1hNLhf9WKM!I1&~jG6{&&Q5LhmDLenOiMrC zZ%cB9p(JVpe>E#jgzETN<2)N#O-{SfV_~z=sWf16ddBu0v+r^soJ(MiZwIE$MeNCpj?UTm%)Www~$f!@A?1geIE!_`P!Rq zx_ysVV{;kLqxP9S@}es;gaxmQ+cC4(K{Y?Rn26HFju87i#8Dx!#4Up=%mN!zRZ7l) zU&E1c+iRR^dZ7?XduDEt^sRM^8n#Hyr$mgu=mE!IcKtuUQD?5We?4~QJspXY5wn-4 zdObpz#GN+W64@Po=|oi%u5KwXq(-bk3A+i_TppHBqOU0Ry{+HyFYyTcVBFSeHMe_= z2>sW8uNxIss92^_9e9EQwrHIvGuFl5F*B0umrx&M#O8J56-Sl1O}!!CA;wE0vV!7K zS89?eYT&6hNMux`e8HC(i9pkEGiNN@K`3w0cvxB`C}xTM5dL_|j}??(!(^l*#j1tE z%J3fjRlKd4f2UXZOJ^2Z?9#0>isEAr3q{1*( zhj;e=MkBd#E}L}B(5!$U-?fWU;2Bt-!(rVJyh|HgqF~Ukp^M_UJ4fcOjmF5bX|MA0$J>RRc9rheGX}D@L84CVu&@skdjd(S1SNXmT!}&siq~q*HCR4(h&HQ1;^AxE=o6uhvBr%}P56+7 z8uLvjUP}v$g*xkfrjp{~M)&iA#YQ+-*c$VxzS0V;b1rvOE}JE8r++ccj87L+3YgUL zC?Fc6pyZj~l~%NQtOw$v5%VKJU|yk^eergd5HFPPELOgJ9_`kbo5w5utL;4~K=6)IWU+&LQQ&7}c&W$pb-d`Q^ z*>8NXv$I=m^OlIj4?LxxBvesT(`)s>hWG~rz=?2sUL6!E<|6omXq`jjbG_^eR_|!K zSXok1G8m0Wt14%A_vEM<10N~N2PrldV)smQ>bfenS-ZR3U-f-%ZEyEAGWrW_PEkL0yL-!l77HnP$ob~viz3$M#)iMYKV)q%k)F@> z$m{WPPQc(puT3zn{LIF~a+ z{&U{sQ0o5y)ZAY$B0!foqK}umwch){%o0o;O*azuP_3?qkpv3m0(h0~Nq@;w5w|ZWWkB^tCR~-HMwYin7f3#3b z4@pQ)wq0py)Nl8B{rdIMTZI+m?c@`DI(m9$od&z7hugTgH<2Hem6gvQuUBFGM1KG* z>Ica5Jf$GiC^Ml3uFn7m2j}kYZc;tpN}8iwD36GUh!ehbFkcNJl~U5woL}z_R>r|b=GCsE`Cvk-bYo{nMeYzrBq(0f8!w`A!XY2YO1P@X+Ot?o5e7C>fa%36c=W) zrpRt>ZP{EW#>8~kFBJ!!O#(VA7dEtogosE>N5|{);0A0?^hZckR8&O7(l0{^XXn~` zRo=Ew5*R)7|0eUpKjzN2d3&0h(?V*j7hQ(Gv*hRJA7#(tb~&~5uZZ?X5dpu@VNy3U z`!^6zZOxgcRR*vdr5h~7(Ms!mezG1gXWL-yE^t4cF% z%fTP&OgDehkUxL^Oin8KlX`U|u0MRK=-G7w*Yfp!227=ZcNy9J=2g|%9!oGEr%4@g0C>}SI4XR_J2d@nU2Q&pz#;=n~AwAt?yk5r{=p7<0;(E<-pI)gJX;GN@ro#>x#>}W9h{j_t2kiMrb z)ztC13Ge`7R-@lhFz|!*R$mVe#vOP1BHo^FMhm?}rnc8N>tMij5EYK(FwIk+Zg;ZQ z_hvdFPaGT*Pfr}nP1egzwKB;}knu)G)6{~A|GZ08RkhxB^%caQ^zLF8^QYSL{?%c- z_mw6BLclW&ueABf58WRp|ZuPd`50+}~gS zo9Ooa`}=1}30K=K6-u^T8YjTrSWrE}vTCf?k*U5_aUJzntUp1K%O zbe|&yZU7(V^}0Ff4aWuE9w|EVf_$bFT)18Wy^$eI9 zAddcSPAa$<7cDme#8fq?4AwF7eE-2_58?#;O`1*Z`1Q?v1F$)VztH&j4+DLtdJmlXeEqr~=+r#=* zy+(&#QzlFh_3*bsUXz2t)OBR4*sxQKTxF$MUaNnyH$flfr5Eu zCFoedOA3K>iHcGwWVTq&l}{BaS=^{lCWxIn=LEI2}x*`8>&9_e0yFcdI zkEC)WGwCYPV0p_(>n*f;?w3|1eFH;iYHFIBo7>nNiCh;Tfa_PU%X_~eB;Gvwx|`FQC(ZDF;6 zp&jN&gO++N5JrKMx75HCcV<*PPJBnjLWm_9>mClu8V_~K9yR-81 zw}2S@?%g{xdRP(uB)^vz#I^0>omi05oEc~9l@_H4L>TbY8m+^_#rns`M;2eqNiV0P zrQ1lZ6}x90J-xPD{b!Fx<-+o0COA0Q2m&sf#X9TQ*jTY3l+K4Yz+zd)1g;6?rf`{b zKoo}fb@uiW0e<=3ej_iN6gnFi37hGt6K{qf2Hod}J-G%Qrt7wzA3uIn^!I6fjAlAo zdiyfxeNjZ(N-r;eHDD<5r`OlM8==$`QoL&`-+Q+9eAfN@ES5_?0e*6SdmH%eTMWhS z@p1HB7<*~k(Ng0%fK|x&_SK>Kh)L;3<)z|yz#`Aj30MqZrQ*y$M$4ZL9voNSOEGB+ zAjgUeFE*rgG$Z_W3%7dyKt=?5uT*`RQAjB0i-V&hAV9m&X8KyZ9snU=?SU~ioU6f< zeIpIo!NkMkcKG{yZ*Nb4|M=n@#xHZZ3GgXEVCPMhD0137PyzV2*>8RXKmjH-H6z1& zvkw&)qN#QT@)dyPh4LA36uZFJ>ur`rwO=5(0kh2oPv9;s6w~(p9!3~^ky<{z!Er}k zD$eVjY`^CLqfV34?xJnGbE6InJQ_P5ie{D%FC}}8n3UA#&ueM6ZH+#Ucfdzp!?Jwt z@Ow@EF}o37;P7V1 z3nkN+WDED&^Fc!o4i2Wvn>sr?i;D-MqxAl0^LPumx>I=3Oaaf25j1G%t~&(C zh=`pJa=>r|0T!~eUo15`2BVX>@Ma+SwFL%>At5<9IC#;Dlf8ru8XAB+l1aw6eo9#S zfIG?bM;#sRy>}4D=m{S;V+Rkm;CxYZUr8K}i9$h9NP&B-wO-^TBim@) z$z0^IP%&?ILGp`VXNMH5$C@F-r(TOHoMv?ViBQ90KN*nR=nBonJLhm zD;5lktq;jE$xbGY zCPsOleY&4NlZs&c=UQ1{_?w#>0P8zh-0Mky1hFm$ixdestxi&~LW?R^uv%uPr!V&B zUcwSMT9jZ6CwxTPsEvj2jEvfLS?AaOi9bI?p8CnwK(%VMy9b9y8f3VahVRc8G*9W}LW8CzyxRRVxS z4Gj%}V_sW>*vUir5VxbX&X922_QT0u0cdqV3^g@(VQ$mj`&_af)in~=+qT=Sbp(ZC zQmd=LLIDy5(z_oowBEmCbc~sSA!3so;)VoP6 z?M*vemkoAbdRAKZ@jk{;TpL)+t^<^+Z>R$E1#0b2!Cj)ROrcO%9Kh}XIl3LDcr&eT zYY_$fj+^@iV5WARRdIRwD?j3$v3(6r)2RZGf7JKn`~Y`>6uiB&1IU?lmZ#0?$vOuT z9Aunbz@R4t%*JZNM?#V-{1=h~@)yX-`8l8OQwtB@y(+}l?__*j3X>Y-s4g2lp&;@+ zJw5%;!u}8oeyLpn^Z=w8(5kJtIC53h)%J%o$-pl3Y>*AdQ!A7g7w=9NV*+aIxJ)M` z^wNI-#i0YhGoD|Q*R|YPI158w60xhxIsMgNhQU+2CUtD*}Lh^TJP8In#_auQIX`j%!>4D{-0imYQ8FhPI#s z4Njtk&>nWFH`&G-t|!fb0fF1mLKMLm1GOY0FcT8d#E+*tS%+X z5kYRuWZlJ3N@eI6H;7sNm$!;aPFJEZRf!|A+A^SLM{~<8Lwa8Fvf1nQtTO;!mq~pL zAdJ&)mF4qOEK;D5A1k{GE=g8K1`!Spu#GuTIw;KY!6(rLt`)!8AN_nb#0-E3q)9KK zdqZ00y579n_vT~=>fyf(0c7Xa^HqTbyMTPKi+NYI{nlypx}7$k!twcj5PC-!rsQ;X zx208|P>CEYKWg{}m%4PBH=fJ2oD?bsR*G$cOwPj$$s^9-JB{?bMlEL9t_kTgHVjvK+$12sKi<;mSCu5zny{%AL!`)J)`h_L|shK~uPRyRFG+4}Z ziPoj1?F4LqnxjJ&YAtc`@x#v3fQxwn-Xkg|#)vZ%h>WYll$8Ki}vG7?ylt zbqYNum-M0#U5RWQN<0f$5JX@dW^^j23+Fc@+>IAYb9UBaxAJ!4WYW`NX3o}R=z<&MJo@HPcJOoS9WAsHN%mVmhxlJ znmg4pEO`Z?SZU~DkeK-P`!r9`JS+^W%v@$t?lz`@PHI4#F-?Ql*!zunN;}1}RbgD2 z<>e8SKm2p$59OucgUY{^2454SK^V0B?BsS?qFQew&_~FVWDFGDNI zkiZ-|@RA-I(`L|8b`5U-ne__>I`7QgJP zLHy?Q;e$>y_UV{{#spy?c!Gp_9=orf|A88o(8Ec9XWmE#O24KmwuUY$L>QyIqXV$< z`YJlCFzPI?s(GChH}RzeLtvChh^V?(1Jw4pH7j`)5J(itGVIeKn7_t~er_p43S0{2 zv>Ym^Z$A+YIcax>wUh8gndIiySohT6Q?zHEH7|xI zg3$wS7yg6K>d9l7_wxNEN#t}|?H#Phk}Ji;goSHEkxE=ukxK6h&mIM`I2pw6v-Hrr z%XmvMO*%E1zbSvz;2TBtvh%({lbZzWQzSSZzOpUOsrbx?(a90;4{D8#Zp1R*Tv=?1sXiAjL+ zauGtOxPyQIc?+RPORR`{+uWr>Yt#f&7MJ)xrJ%c?0pwD|%%bW`FtgF6Cy8me_B$7bfIme8zD?f;_%a9S@vz8-hVn#kQ4$CsqvdA#1X861G}`>0d2`K8ffKlIv2vm7ah z<8* zNykFH9%9}Zgzx5hBnWDxt*Su>o>*ZPH^s(YPP>VH-PzmF8|3>Osvk@5{7A#Dy(ngR znsUtxYOKC~Vokm2$=gbsqYA-k9`1QBk|WlzQ%|Aj^^ITR!=tap80}t$8I=Ynj|!re z()O@B87F{jj4|;B(mWGlQK&xZV;+>Q)bL{N{Y51)*Bli`uzel$>I4}IP+^H|`m z8@HEdAa6n=lQ+sYJ=z$<#tqL_LEY<*n4JjJ_h}0kaxIVH+xT}EB!Yd`F+iEg2rbIn zk9*RxJcxO>yHE}*Vy*{TG)&z+S(r$-1U)%B#6E@q`*#@3g zVi-ZOEP3Pd*&ki^b=N~_0yCKn?wLq(r$q>T#mHOJKRd8@ zd!_Yp)f4Q`0qFjVb>5n#k8bly?7)2V_6Bi=vq-S;rgKfvH}9O=D1L!zo)oaDp{Xf8 z`Ybn>@2Pw)KRvIHfC=O^8JfNo!8mp__P)OaA#*=*NFAgWtb+H$raEu8OD+WqWYZH& ze;HNi`yM?sf*z%@t;Q-N*+%brcObH;a+a3EiRd9e+k^>gc`6^@&{wXWYYcaZ!yea^ zdLshml@!}flnr!o95;!wPzt8G?~QgY_`!Uv&wM6N)*ev<39UYl`Qf-A@+P-_d8}q( zVMZev&H4+vP)YARyYCKA_X7eJSK7RrZC8CLq?jJw-ww~~r?yS?mwo5;Mn#8^R-3@* z8v4~E{}XRXR4zn*-pR^3{FCC^-juqHue9Vo`b`ICgMC_DPuSZVFKSpbe)5nN0}Yu+HK7T@doq|z;`nio$F3ko8< zkILfDqhB1^tLYov7v#LZSa18hbUt>!k`FRv%4DC%OZ`$I-}_~rBUGAH_|R&k2&#p$ zLRhGu1Ec>8e6*`0ZeF!SlIPAi9a>X;9;x!2dBvH(?OH zp-Qnkr68DcN>U9Pl#2SVqt|lLah(qrE@w_R(~3PuO_=0l+^Ls8LasHnv^eRZ{Fa9$ zcBgaZ&BVAi$XPpg3i26K1cW3gC><9jQNm#$utQAay|iWXCbHsc`dL%o>)4I2l#nsd zHYaO_y`UgBx(wJAUv+Y^<*saRZ=RpX-@iW@DOUDA+k-xN;Y;OM%w#i-v{HD9Ns zUV^z(+(>D{#zF1enZcOGTa4HBrH*X@mhjybDgu>YXeh_&e2$Aq)ep{dJgI9%Eo&3n zkJ02k=%OVkQgrXwR$ zclRw6Jnbs5SX?etv|G$#BB$K39BALG_it)bW<`BD-)XD-&^Q~{lg&uX5yYV|V`MRs zhWZD}odM~_Kh(oJOVGP*U;xp=ts1-HRex}6D4E2>Mf*d(YnI^KQXxwl>aJgCT11f> zdz;)=giG$XVf?A`8t(bhfg5)kI&EIJWn8OPb8X(U>iTyj4WKN9S*VbadeKJ!(jon~ zkt0I5*?wEUo8&)iM6gM;owQ*eN1(rRaQPalxXh-0!D4Jq7a-=%P9;`j36mqmsA7li7I7mFP_J`5U zzyut4x!l2+SAJlcqm%Tvt99nb>pygPw5)JOL0`3cx*BNn_I~nE)ECG&T&$COJkOG7 zd#JKszI)I5Gti<_Rz44jVVj?AwLjZgreydRbgp|1moseHM1Qe)y4isu|M&LLX^Or8 zjyZ!-cx&j*HeIx+Tm!roXH?<+6{S#j6B(vL+3^`cRQ~-CB_XZo55-|~<~c=bUseL( z(H_jt5p3yuVux$>;r&)FP8mWcMY*1jzHR!}eG$vg zQ^tga-qKoU!Px&4KDphfqLe>%bgwZxN8?$l?dU!eoiVukW^wE%vKT(`Jx*;8hXtI{ zD+%>gv^`bi<)u8cl;-!=>is7I8V|kUX6?se`4j0uNHI#qGVzDJF}O^-?x8>8ZABDG zR-1wQ{%iFJeSu``-68e7LTcZd-(qZOzgy%C3YLk8lK%W;cbo|LQZe{mA=)rpFXBZs z^k${A-_I2JU-NNk??c1||MfJbW{soLgjbT8adgmWX@!tZ!#K>Vbs!7_-MzV;tO`km zXSeyPxeG+%{SRUPs~&=e5iTjrFFEbI)nicW7@FWE8#4->u(Yq-P{eT4E6$`$mBX#Q z!xMeWN6&FJ%2rL+%R;F+S2BEaI9o=-q{F=y-6ac-k zd5~zo@(J{dBbNvaV;cS~qRSHEO@VNm9!YP1h5w)=WW0PL&Tqi@Hg8wGKk7}EX_c4h zytk;`8+p_B%k)dZqM4v=H1e=`vCC#Ud^`4Rl@SSbPVRwYI+~u6O~6IvW3@1uZ-xqc z`c6yzflddbFOrDwZ;Gj!?WWfv(_?2XPj}lV4&C#>Bv}ILT|UBVb)vTn#4t@ z{$PQ?NP;#^Zr`U&?^{r)5w|2A=?FybTF>n-3JEa{Mia3ljqJ@_ZhlU>Nw!`+{5RL` zOV0%th3<(2WD_X{@3R}oM*2p=!t{Mxr%(QVfxXo&w;IAZq|g1N^K$jzc%ckJ0T+}7 zD0i#>6YE{6C0ao0_FYcKWNfUTaWclF&~FD=XSj>7_azq7kISRL0`M(7+<|kTmdfCB{isYDjaq4$ca62TO@TZF@t~Cq0!^IQz{h#rd5n)?N+bVGnXi46-or- zC2(ftCm53=fTk^kQ0J?Xz~+yA5f7(h!F5&L#m`>PVeAF;$mrqe%!iU?}kSq40(A*Qaf(A zTNs*Lys8d^(Aj^-Hd?wJymqd7dAGYOpc8$xJb`9o_ek&W21C|takPXz8?Jiog;Sts zpl4geEb06+^?jB`qYwU(Xc#G8I~l^{dr|qOKXKwqPTIsjPSxN^t43%m8*}O#5TBK2exhauZkLvCO8g}a z$Mvbea;_rx>uV=tIjA;Yag5`y85L~%!^L}i{j9c`SqWq#H$Kh}o5!9md;f3tWOu~t z|M?+|vw%SCCKkN*2-6_g(;;<07~FXBUfy#GTP8`J94DpMUs%#VjT!p$<0`o9={ zE!a0J9{!ah9cZ44(F3FVc9i5Q6NkLg{U;=WPF{{{gmXlc3E5uDB3>#6A_>75zRk|a z**cpXhRaso5HMTES*w&Op>@WsJ^M*M*gC4Z?HH*>0B`?F8tW^@PZv6Sh7(+<0~{tQ z9*(20_jAR{{lFa%(a|NQ$VS5c{;qc*6X~~5k*nTnDQsXBvc2L=Ql&N5{AgG=@jWB9 zj$(?8f6voW!e-EEdA#!uC74<#WBI`+WjPmE}0REv4GwZn$^CJ8XhAofz4pj z%NWN}QaHE2lQieA1ICBJoT#Ux%1uTnZ!<;4zQXmJGxG-MX z85FK*5#rEQV==hP)9j;K@at06NvZFv@OO7Hc*SDtY(XeKT~g-$^b;|uUY$Ao{(9)? z-_75|Z`@9SraH*^a(eP1dkMh@lvLXVY2+q{h34i*tXlIbxnE&L5Zq1N4_LL5jQvTM zLait>li#A~2~06Na)zdeKtV7pya_c{W7*j*upp9X!9S%U3L(M_4v>86aV=te>XW{d zYB{I9JvfUkqFRnNA#)|Yy#=^E-+R5~eVw-_DZ8Aid;M5Mi7l)_HaQ#%nHz&GtUig2 z2|bNoOI60MJ=hQgt>o04?Uj_w&Y@^G7=BvTufggPEi`e`lu+3!<})f&Gdh(A(7Nf9 zsgH{?Nb{q-Iny`(W8~}e&|2L~))V~NJ!UzG5I^YI*ZGQ#!GdS7&J2u04IP7+o|3bH zQ_3Z8)K{?8A*64+`v;tkE_Uamv6kJF=>u35Rg|P5{z{gra)r*B>w_(d`hn@}hOgsq zW*_HO5mj@(u1_Uz=%lZr0xlcIS&fz3yjX$dmKmn_PU66TMPu zUV^bl5Qf8!yuMlB_nyDK)zgFb{SHb=CaH&m6hj^XZ*J0W&9gMQ9cEpW$>2!02}Yo$ zKtWl2pI6UPb_N0ou~G|4{A^}tC+@Vt?|pbc5z1CxDU2odrivmw4rMT?oQr7-b6|&o-|xM+hZtO4LW4DhH|&SOHwB>?{8U>979HxU~%U5MT~4+ zp2?}ji1+NTuNK5nXr2_(ABn#F+Ey-sg@&w=0R{5%vZDl4(W*lu5_O3`&^qs+)kV2_L(H@H;c&S zZ2IjSPcZwD@a=p4y8+R|rZx>a<@5y4Us}e;-_n;IN9x%XopsImdhYKdGxgxoayxr$ zJ(n*$Wx&Zzu&NxTPt@Z+Zub#fViVu5y=~h0H;l}~C#gR(y z`0H4}vA$05c(BFZOC#y{;rg?pW=6D>Xb=s@=FxQw7A>N|qwNZ!vwzZWwqHl>INW4) z>-B4}BD42rVo4vGY1vlaHTIWK@0&v~WX*ZpK?i~cNB+hyfzkfC_o9sRyCY{8B> zn`EUZ%WQPilP=shk{)nbDvpx;U`~^bs+p#2NOFKHWI?5!gDD4NI~>@v^=cS%)j-nN z`2LC{VT+DEkeO`t@mQq9$I)fva8Nj@ysFP?wv{v>V#1Qv$+*ne>$`#3@7J)e*S-?a zhUXxN47V1j(IvX3DRf)E4Z&+o`ff3p%x<68O*M5IEhMe57iaRlkSa|}Iww__j8{8C4dfZ$XD|4Tl_20!)feHc~A*BA}_-(I5l%*jP@0#Y!W@m^MWBgQ> zH-}Qk5~1?53c1G8+4&PALewl*rKQ8*Y2kI}H#dO{IiIK$scF#ulHtao(uGzsf9ffd z#U)Wt&wQj#x}%yk_eqzzbJyJRnq;AEds7oXPKHI63yE~dK^3Dcbk1V4W`Vnm^PMwa zyPm>RY;k%O3i<~&R+Y!A27w&v?VoVcTJFcCu?bRpQYp|L0?|MIC07^9BKhTP`4Aa4!b1u^J0zRUj$v8~OxOTfnM+{6KAOa&0>(D<6?mhD<#?irxAvU1$TYqU-Lt2S-=Ez?xkh4<cSvz~jD+%BL=PkA7${Cgqxw_OzH?!O#FFr~1-FqEU3%~^@s<+7 z*}-J*py#&QQLRF@D5Hz&ysr_N=d#~2o*>oF+gD-#Ymo5%g)FE~E}LwMjmgu|<}*k^ zr2Q7!3hzseeKKOR;(8i9^ryb7PL}Mi?WO48!~Z7JY=Zon{XI-k3um zEUUxn1L*N}o^&#l6mMroxEvfUDyF}1hArg5tI-P(21mkasTV@wRCgYt@7avg1PgGdtv*X`dEOTKl_$YgJ2J%VNGMd$#So(9_a6`CRSa ziC+`4%rk#Fx0h2$#zp1ePbCg0O*OHm7>cXrP&*Mk;xcOe4J>0NO`o7_fz-)P#X3e| z5}KO2K9E}CGNhHY#mlH}$kMZN651go!^LL9uP$XgDPU^<0SP6$zwrr_+h}3<~e#n zjV+e(|Hvvolom!1(2~IQxxHn2T51$M3d!9kc%_N}8ITQ8uF|*SR#ZButPXs)j(rRN zXOsWJOT^jt4k32riNbI{wu|h?jfIr3zAAH7DU}|j&BKz;Kbo5A?SN4!5~}C}B+{z? zucB{E(Be(3ueaW7A@#-c`lm$l>v(bjOzL7uNXppbXtl!B7xz3k~qp^0{f-a;o z3FKSbr+ylABB|hPeJeU9Z2gtX$4sEUf}yd{VFJp`(>WQr>*Knq`Rf5mc2Ai*)_gh< zAq`gF#>*a_e#FsHO&6kfm`cips8rg6iM^jFU7(<)3E}wlJBaMYl~+}Q;UDbPUy1sB z)S5*r|Cer8tAR!^{HZmyE3q?_d1|cKwEvo1YbkO4sp6V!>uuRYkXj1zCsw(%j`m0I zDkR}L{ByI~_ui9&-6pwTp#|mmmQSzlW=^r}Xvyb_>Y3*ZnnDXU@LV6(-f;rm(9fU4 zLZoYm#)aA09R+;Ln9|0>)nXF|{|3Df-dT28X*9ay&zzN`T#rG;+;{F8XDKcD(kyhLxY2_Q1P+w{-}(Z-@6=+FMtaTArL1d5M2Ah z4a9LewoO2>+9u|*mpSEHzz-?!@!6KM#FxR316nKS?U9_k%E0i@7%H!*s_J~XSG!M1 zX=d$Y+!jDhx%JT-PKnPnQ%&jI zmrXB;JZOIfLeOh0bf+>MIZ7Z7UFGq!m|8hJeBI0LJQ3IWxxH9R;EAS`$41_Rf z$hyDZf2p*$_n8!g`}};&EKCioTai*R3YtwofpE*~upCH7UzHisw7SB2D0LY=}^<+}vEoq}{icDTJ#_#Z$gcwQi91`ouKsr5U5%ggBG~ObocaFUk~U*F-X1Hqu+S#6dvMcIN9Ty_w@W-yJOSd zNG>&#+~d(0C=%V%Z4Qp5j+j$To$mxzrELL$oORF?s0X2)lat9o`Nn0jnoj}|?_?4q<$zk#JYQc$ zCbq)xcb@a1TFdHo&KwS6xB*u6tghQh>@QDLR`1%N*!%|c+MoUo#HZp0?HtyC1h$5s zDcSN)|H%TV4IB@_VRVTAH#{=aIz6m;euG&Dm}M+#?mi+Rw-8Xw(l#<8QHao|6dc>Y z;0e#u=TsK|93cE8=NX%~l~qtNG8m>g)BeV>@wK6ga4KcP~u zxu-X2G2p7+xnXO5-qPM0Mx8g=zW?X^tEMs>^OpeWGfo@@uFv=M(|J?CP8H&*_xmDr z<5OllsuX}CjL>?a=63SNx&7%8vrvAy-IfIZue`#a&hRta%#|+#ENMx@nOV#nx8{L- zg_In3Zb%<8sm&JP^=NcKHCy|_=rFX|&`LjrCQ~ zrGAArE|8!C9WChF2wL7n%#zlCQpv*Z&`Rag?mLBNXRVyA<_t3o2#@bm9>vshVeFW3 z;wi6nLeDnWA?DzJT^wHtJp^dsx@yscR2xbcTscQn+Sz6#u-6%4>p0GWQit*P^b@+W z@54aV1I+zY5))8F+WeSldG94PxWO-zslc?|`8XrM6*h8rHsoqD_H^(2(C=GV*dIMr zYvXz1PWU>*O?~E{n}7(!(si6guEYs#ma2HAJeLxUPoe+4+~wY>`HZqalQQsS&k(cu zGQxcMa?GE|I#9)#vIfW^KBgxzCryIu&H|9i;6MD~fdWouawb%e4=l0~T12@Ze2FUx zvXl{B&Nw2XpggQbM8G{?cBa>_wgFlFKIW=fYn@%?6)!JP75fFye=0F$-=ZLR>GKHQ zttf}2XMFCX)0V04>x;b(!2w%i9igqWe+808zMg0@<(G;x;_Inm@Km=Xr=j~;rdB!w zyvD6!78Kptftu@*oy4X^ZmXfV{<;; zcs{>wZ|A#ioprr*cslqYQ#6v4$J=C*Cd4Y!>YZ4=+l6T}fIPKj9E@8E<)_X2j?KfG zZaC}cd##U&^4`!)>0GL{*UkFABgK?Tt(2v%?I&nI@~N1Qd1ZM*X% zM9NG;x$@dU++LX$EhV{G*B8z=cgAcfY6dRzqh|?p#V!o#Dp&7r9%N~$ICz3OaQxXZ zOCJ0v|Bn{HwLc~h*+0^_nw8B|E{phMoW0iJ;&IF7x>!GGvUY>@w)?stkoU~Y5RsmI z;X~i#@UpX-Cy>iJ*QKK8WPp;Ho1_Y z3mDH=nKaCrj543vO;p)qWOzx`BsBHXry0j(bYJ+S=KpBS`=)g5QW9n3kK^ygt>PNC zSFYfu%dCUpAX`8fZyrBzp=PkL=(uwF=OG*jF?$Fwsl(LEz3v8l*-+Tja96duXh!$4 z*J6dKRq*Bcu`%5oJRz)$G z-z)%G)cI($qXTCuPGKJC?3>FZdzhHe=sfQkKV;2UKVNKT?TlnBdN^dCFesF$fWptL zRk&nPd@?mb!N??=+&&*%W_<1p3gmY>OW|v-@L0mzx5}pY0*_Y%{6lj=$D-vEcb+)Z zgK;WjAzv9B3a+X1|FpCPk}}G6?cV|a&&|nsVt02K{rI94B#&t^oA~+&|KvGe^{kh< zg5Na<_Inr8LQ?7xYSdsLIWymf9K>q`(O^Sk4%OVP$aH&Tz8Q_gqmqnSBz%`)h%2H= zg_I8V05xZNR(n>#{dBW<21A(e1eRZqmT}^ft7M{;+_P*7 zzk=!xTkwp|hmahxxYn1uLzjvx71YnT6gQb{akuFe_ZENp^F1JI^e9LS?-a85&(>L_PN*qCM zEb*AdW1xE#_Rnyf4odj{Pt{TprIeX)StC~?$GTMv{iuAO3h2udpEEEuKBv_L(R%|E; z+7Vg4P2LhZYqZL2}2L-x$a?^NE~f2`O)b)3@|6iQU+6Df$mCjSbG->iwuP9;ug zmnzn6X&R-sjEXmKl70H^B;W2%C5B*7AQ;G2&N2Q??032?CTdNUYAr@jz|BoOs5b)c zV5QSO8es6Qg+*`B|8L-I>nzw6JnOm(EArb#FG@`ra`a8Q#0+?@?Ro+}2knr9a=L0+ zv@-8OoJmk7G-O~sh9mS83lbuZmQAxtVsGTcyU>YUY%2E!0n!+Pn~Qk~{x<c^Wv0#p)=>M56nK}_ru#{5Z$D?*?Lh=NWZWq)`_YPE;{q!a|`r z{y#mPby$<{`}ap<0267DlJ1m7KtLL#yFqFok`g1N5mBUD8i`3aQ&PG?TDlzF`CNX! zzvF>_b{yMa_jO-qUg!I@UW!xcJ=M;E6ylvV*T>RO^ltWvDlonjv{C$<0UcsJsrkb$ zS2{6>_CFneD}4GV$tO2P#t}jiyGWAYYG~hcRWR`C3yfuLYfFS_Ol)uP5f?6dBDafc zQpDx9e}{cdw3eoRVoY`sQ1wQWa&xIErX(gS)H(`|F=B;#zub@wC(8Fw*Q2wSx34mc zr|^H=pcb^Dn6UJ*@zd@c7M~-lCV9@20xE;&a&p6stDUBmq%VNxA(OITccP^G>0PMx zMjp#q9AjivPyeh}aGPYKb&nIrC{q{TC022bn~Jqt@BQu83suPlnNK8i@@1xQRa1zwqPj~}e4Af} z{u|vLH6;!K+FhJR(|Pt|T!(L~#h~c_dWAWFBNDZRVT_N68hhRbt?1ZD5lPb_0z-Gj zA4lvr6DjrZ@85S=EI08E$B!*H#EN74SWNt#O$SC{nIA>xU8P#4>W%5b^u54u(C3xs zsx1X$!ZXwS<9x8jxZ4&EC*M!@kU~OW<{wYGKTXVQtI}rIsf+W$I?bsrgJKlr!6?uV zw9eO-c|?||kM&=qQD+966VMxJ>arNIz~u}X4|2QH*;o{e8pmIdYy*Kz*(ZjSleHu) z@z~`kZ>A8RNu&BfB71q=GSiHNlr51GbJyGNr0oyQ#bFXP%vN>nGc^l_7YO9G_kpE( zi(K65>+8l`hIb29Dr^Z01qk1>wnWbJQg3!`FNdY@o=hzopc|_Bl!@=svR0O0cIld= zL#{qh+Y7^E2?B#M3i>__j7>ZiN*Ro^W%eC%NkdMt#At;?2y-&TsME!$~6z!~1)! z(TP$NXy7#MT+*oaN7G)Lmb!FfH?!036~lZOZLf3U;@L&>8Fz-{gzeU7`8@r%aQv2c zdd7E`Neh31;~7a0xPdo$4Zepz?&d3PzNn&E#!OBTI5b_UX&>U=j z{^YwuPPl#TXt`I(hdlcdg%{9R>+AJ9n4lMYmr_59L0KI zeg_B2{mRPi^d|=bK;GWB22^TbI`w`iI>f;NGzyZghHv;GbDS_|4B*Ty# z#`&7%+TKh<|DoCW){V`>=Gd~K)>?_z^PcK3|G}9)gA$muk#uOFUAARWk_POB9$pk? z2lfLMNZOmUx%C^X@ot}dk{FD|AsT860sbRZzQqfZ^(+1bztuXiS|jHckvycsP6h_N zee&wj{%pqhz#X=P_BH%&Fhgw7cdrF`gL0XlpP%D4;hIY1Gy;X--?J;A60UWcuC(bR zshfTB>1oHU#ey*W`W(ndAyS27KprFa@?~K`!CN6`>evk+6j|C`0lrYT+?YH$ttNaZ ziulbrPqGS>8vhIP`%T@fvmHuah)}Jb^KT!2$H=RL%dY8+x`pOkF(<6Rc=DF1yG{4| z3pZEZNyK%#ni$?;#ViiU6|t$o3`B27u546^dqYkM*HX%hARVDJ~{Q zpJ>KlTboRb{9_W5XMly!j}Wq+ej;Yxc_03v$Yh76^(Q6bWkO=eI@jK{@@+yHwKSPA2^+M$KBRDS02i680k#3#aj%I-COHSOOZ!^ebp^Tlz@Oc0s2>p;=Iq_aY4`)dHeNTc=Lh6aldmg8}bIQIu6be$QxlQpkj_D z;iSjSK_Y1&KrD+MXTys;?AjVDG%_-}7n}?_cHZ9SQ)U5xJFy9d;^Wd5t?On9sD!gM zSb%+18^Rzi(@?WRM_=D7V2cU8zh9I5$$>=#=qKK6mmsL{!xb1(Mci!t{r%O{)HF1p zkmJ+S-RY{A93)6COVLmp=T(McAXnVqGipxEBo0ax2$d2oGks|Dg1O1^y)rzVhw%6$FA;3~lb|I%Y^)!mz~$r^_K zRl3%)!Epr$gtas^ftI>kRsJ3xUQA@<7C3G*r{P@J%Usio%K27Ol9rZ+CPfSFPZeYr z6}_w)l05PjC!+}&R#-XlL8#KHDJc9~Jy%y=A*3QL6v&6Iu88q2@gC!na2f0C>3JQl zDsru;Wr%tVri+-tFBl8-k4ruz#;B;$PF+}2;LPV|CH#yL1GI43fbEiYZk}% zt@ZTu=vxLOo%N7g@E@0|5mRJgOPcyGUc8@hnAka?{~Td6U0z-es2tq--ve`40ONy? zHc7T0;Ws+_??=q@uRdh|!VkDw!bt1MQiHkD(UIJj0F^;WO-)^t+jeUq3H$`W^=xi#{<)R(+BJ@g z*Vg{KQQN!rHbE)$)v_1-rWkch?x;6q^Y0!5NWq_@3rzH%06(Obo_vl7cyhk+JmnS+ zx}koTTZN!GI_Vc+PD|M^7(H!nd|L{fU_Fr_Y}otzP~GlHs2`5B0*2rdn;a z9?Qx~$znSF=9y~~v?r96{Sn95j%qf&S$v#1$z;nF)$P*Zf3g&=*Glp7qdCuRE=@o) z;l|y0tnbBMOiaw2H4#MkjrnE3otLrI3MmE#974u#+rQiy?FxTP!I7d;YuytEq|)OP z6CR#2dZdpC`Q&m({?0d@9j^J>AA7e9kDxtyGCamVXDK%Z9w&vHXbrCsdU}Aa^KDtQ z^6Bwux}%+4^%BNd-Q;4xTFH{970>Qdli);AvI&DuWHN2^SHN3O|`7r@$sH>|hs0bDss>B&PT`Cwba1)dm72^P*hb=*g z{&QYl-k)nGcRk=Kz^ys+@zV^TyV@-fFUR1@otA$)feMw1D#^ob;+L zGoUL=6O|(-2`j0ib@u|q6yOvdwu|4Muh4%M7Qe37*uaRdAr|GT!4jp zMkk$|X{rd7f@W*8J%0Q+Lyh_0=8%Dgs4#(zoIGHQVSWQ&8p*9{y|7hLRJ^BWjNTOb zNakr&_sY_JdO}Rs<&c6Z{=d_&&j>?eX>mU*5K&Q4{VI)hA)s*?b8vKoJ!6MFkkT0c z(9zKWgqDb@Xo+^aeFj2BZ*P6!+Jr|g_d;cgwYLwvfpKF%IM{_VhYSD;H*k0M_xFLHU0q%MF*z$M ze)#KYtV&em&r8CHLfqhAzkdDcrKbiLwA%BSBMqI_&Q9Z{oFW0Wc+rG|AO#)-ldaS8 zDnTe-X$?TEtgNis+uO0wgS1oSUX>SSm6PE58IPLOIvD^;)CY2Y9^~PaIt*1fq~Fxo z$U}rXKLJ=+VC)?H05-+m+Y?M2nhl?mK&5Pt`dG9c0gs^S9&K@Y`ky;x793Ap}j zW00k8taTLM{Zvh*bU9J{Lqr4!$Uj&P#E_OZOd)VQUvbA;#p&o{6Tn%od5g^1HLBP*+? zXWpF$D{gZ12wfw*KTmP#B_&NuCcwWDVBzQs3kg{TD$Mb5foGX3J~C}>wkm1QPykD| zy|>qWp=!53=Umr5GCeUL^Hu5^*4)+60T>I1Ko`c*hYp>XP_L`&Q_H+grA*3aiLx;$ zT@2aH0SQn`OUBNbK3Fo>1L>N^AF*UHIsYqE9Y_^WC{$1*gC%?| zWnp0f*j1v9L?&%6uLQ&DMn}g}V>HJK{SPN;=UkF%B762QYikA&7=J#vf8Vg#ThVal z;w8;Z5UqZ2AQ)B!45Q=YV{@?R^Q?{U5DJ&@cnE9LX?@x2AChR-jl(E<-v zNL5nZr5FzHWA{Jjp7#bBDuUd zLSrHfvD=*sUG#tL*7N0P z5TJp}48?w7>mf+?5Sz+R4mU=Mlamua{5>r$$Se$sv!0=j<5>&Q^uKB(1H=s_W%LCx z9zgB@+8Ee*&)qjQw8q{+%nhXVf0u$t4XRY&d zUu8zTm)ejwaHIwcNMcBF(G%C-Tqg*@uMfJxAH$GxcRvO(((CW;}viX{koy&Q74C%`uyZ3j5=uE8)YC$@JKyU-xP-*GE(htHHcJEu!uT-Hu_KM_B z3Je(;8616*2OW>m$U{4?dnxho@J>!nAm86CwSmkyl-_N7+@Jn)ENuZa#2gqBP+5Qb z#wH-(4jw0)z5Dl1j!Vj;@WWp)5Zc(wq^Xzl{@D7qXpL0WAozA`ok>1!)6%-B% z@XlL{Ojps2x%P2WZUf^|Jr=l%BCl&21K~Y2(KRvP9)=~dSsX47pIcieTUw@~1=5Cy zW;lZ;F~G2(iL(JG`Cse-iRUslW&NdUIKJW=_+uG6>%$AbISis)`4~}8j;l!K{*e(< zG<^_mK$7%3Q@kG`{**8hv_Qd0+}!ABNB-|Wf0(;sX@Fdpp#b^^!6hJ=+BpF!%hA3 zwd^2H=dK6vRFU`Y{WAwWCnta=vuZI#{51d7(}PBaI#BRL`AC;7luQ)JzI=&;h2^S@ zu!75Z#igg0Y8L;iOQ4v%_M>hT1DV;`a0q}GgQ<5)z$($xoB9`5bgx5C(x4Q6eID!m zDRYanGc%rhx4kPp*tkbm?=$^%16CF6EiH3&OYndVUxi;BTfA+W2kNmM6bcIx8_vPj z`-&~CKuw|x25yK>$pohKpH++7wo6sq`S-xiw@!w3+!-w_G9a{sk-+&;Qc?of8-Bt# zoDGt0pnLx}kp1Mz6U?7J;&C@uSt71Eh{nd5ofAS#Izo$ZOc^^&S7EAuWuY~n0St8% zO_~%EVvG&h{hBd2I0z}92NlF?P#VGSt`?J$lFS;daUe)DG9m$WwgjN`ntIr7?gs^# z11RSK^6JMA2;}&rM@hNLy|FR~EmgUq%68yB@Q?k7=8=&RR}k5{y5zHllG4(44z%Uu zYtg@BO4|vff>^%1yxi5*RZvg>ISr?!ws&#i7L3=UD(%pq&1?iMK{K-~S^DWFFYc)y zZ-iHUPpy*@6Q@z9wYAUE0K;S&eIlfDS9U?zV|)DMByD*mE8wu_rchlSO97o0L~H=P zT8fK{0|i2Jvp7|-94?*A|b$t)*3Ymb_WlY)wPkE#^2A|D{9@UtT%3gGTrd&htQ0-_K$ zH*k{&%Z&E+a?;YEUM7rm1B?Xcy6%;Ge_mO@*B%E+(IzOx$XfvsKwqV^kb&l*lgShR zOE8A332SZX+06D6Y=iwlY{Ch@{XppcPX=n^j zOxyzr)+ePbw7?%+Pd`9q(3Xxae0+TyE>%6RLae$o`v{dEwUzUXCVZJVzf>Aj5{j zP$0s^1ohW{MV9?ofki1)rkz?EIz2rN`BCZQ=63Wt3wGxH7EK{=q@f{zgPS`AU^&x8 z+#s|XtR%AtKRy6I19+0R4WJ+M+9r8?3kL`F?Egq%j)0VYx6EkAL zXU{BHpcE=sI^cr=FK~Wdm^oUIN0v7#36WvSCE+v#Jg|z>Q_rs&WJO%di>YShD~71Q z?-~&00gfwOb(4tRR0*xLitU&f%Eg)b+aYEC>MFA`cl1EiSbmkqj_P3e5oZow$?G9g z6Ip_jKEvJ*lV2s)0P3bp_i8De#&LAj*E8z`%q49}m zzUJ0jiNpjQri9bSn3N`*Qu#VzTNW1yL^nlAMPy9I2CC*@t}sa%-M~Q2TyZD zePC0Dy`vqUs;Bi4J}6a*ak4VVpy7KFhk>RNL=BVuQK6A)p3=Q%%3t_gGECn^JMC5z zk?Jevr(<^6vwqWoUHFn_av0Zp7ql`CME^D8QK@&$IURjB38fyq&U7w==2Q7cehZ_74NrMP8zgANn8cmB0G( z;`-fN5XRrgn9+d4oCg8t?WFhaeVj1$fj}M>{`-yq3=T0Y2&lN~!+(G_8t`c{)ytYj zl>hQyWi>TtXXlR}Z!Z_`)Nr6ZYb&7rB`qB!OW&|l8tlR3GRi_`7^P5$bU)#26k&65%#YZ0NA%Z;*A>lR6^tTP`jzv_x# za7NeEMg7K+uK}+_T0oP*gLg!N{7VRb56bg=Wq@qph+Pqt^u^wii9jr9axCKylB8 ze2A`1bm7lidtJ-|Nw^h>Lw}P9V|(M^mFF6xqV%O)-^}i9!RuF2aSW4x2zOe{lo7J<#aBN}-BqcG+tl1q^h2_}IGGX6Do?kV$?crK)>hB-OxJ27E`M6yJ(ZSOEnfPKtTC!uuVQ8 zx&~7ZIO!|-cb!JKeK}od5M!sX=m8Ba6MtCy*Iu)_WwJBT?$#iy#fK$(FmDzJWFEWE zjLbQSVV84uKg-({4t2flUgRYtpdV!J|LzxYdHt;f4$3Mq&xhN{3J7LAk5_wUN{>s5c_ke2AP_fjs;uKB>^@^zS$wR>0C$DTM9|d3tu;Ow6_!-7a9BxO1OZl3>U){Xab zGz=v_(KttW#Qr?zM3lJR|5*2)-yqO-q_Qp-vNCXQJ8Y z;aCgQ{@H>CZy}H_O^wyjjRgl%FY}U$PdyF2V%O0+C3-9W`zVwAlXIk|Z}|IH^YYrb zy!yr@NPzGNr0ex&x)4#49dzNSEz-x35_$g%c&XGTZOMeHf>nv732(>xa}pLs?5!SE)1O7c&kxxOAf9V1d~)zkbiWqi&0B2Aj309%r$PgtrUlm%*ZiHrm!Rp8OLFV#kPu1 zSh^HFw|8|kRnm)aZit?(q?G)<-q$~*^yAh7qy(E~ep~suy5l$O3nuYM=L`qYCV}hxgext$&1_cJix?TuW#%|N%j%Qh@ zsko^B`__;nUVFXEkbTum%4d&W0w|1^C;?`4wSi9Ag>C_t+cf;fJ08fTRftwq4F8>( zxAs0s7gqPNNDCe~Jz?jhv%^23-O{t&@rJe^VJGVb3}j+5-8d;X|A(!!X3>|hor{_N z8a0pY8cV*XOYwW$UCuQo%K7oSS;deU2gU@Y`&RFHkU5|ITuTj*0(aZ!VRNG|)k+dx z6^HM{^A&bl>)C%nOt6uo75ZiE>D87QG&X!}kW5#}n9j`mDRO5Q5y^uYp;wwf!goQs z13I|2Msdz$rd0MvwJ4^h2@Peocp6w`r^6J-m`3|mJdLcjOT}qe+2A)79g7CRkPG6N z&93l@`Tb^d&Ucq-e0*Q4Gu{#}Ikmcl$3jOYQJ%kV~(ni|~6ZC)a zq>{}>aBYO(`sU7+WZSGdsC8A3-qPn=I$+p|vnJbA$e8=1r*ei?%W_zPc-R^1BDb3I z&q=nlvQb=Tlo&ciVd2qe`g)~zbJM)nmC0C%I){gQjRJ@zBgA{8y$YE z`x*gvj=}cD82;3Lp&IehNl=&1psz;Y7q1ed{)1lHy_-1;qrVLcPG85jOA3YP)h;9# z5y^j*P!m7(*pw7!9%6akG?g4UW6k6ItK@M^va?5UC(gU{vG5` zDJR=EUZdP&pI$W#eMhHMz3M?x3bLvS#k12LL%*;id?yn2FY&QLtea>*Z!J0~b*oO4 zUKfvP+flVG2R?+cUiOW~)DX;*mze(28mGidz;<*hSHp)?_sH7}6!y~)32U7gr1;w_!A3lZ(Sz zMePb@@*(D>@=coj+GDTD(|Ri zg8Z#zYH$usM29pD$g{d?oDR;TRlnC{TZL3tglU)TS;&8x-~U-N!!)H?KA~^#Q9Fae z|G;y}_?JfBPr3jwj7iDa*4}ECsppzUh$<`Q>mo3%c=vOf#T0{UCd=2cEy+tdi`S_+ zDyGQjPE4@cd4ROi!sSIujZ90$sCk~^JGIFK+(hDJ2hLBKCE510r~*;B1^Vx`=;P#^ z#gq$bG#w^X`J*=9>^7d+wc$SPM?@5|sNRN8B^lI@8Z^RGg9g7dD&uPp^vBE!`Y!h8 zkc}qWR0r$wKg>1f7h)AOZjddRrpVVt11Mbz`6e}Iu4liJwp{%VJc&e%ByZ&wL#NS2 zO|(ZwW1V~-yd^fTfq!>!J1mdoCx+TgH_o@^?d;oP&5MDnZ5E^#QzlQ#82!cys<0B1 z%q|_3JR+sgszE8Mkq)yd%IuNCKA49ZirohbA`E*bpO#b%fi(7D-^XIo3qk1#XmZEC z-{P?0z;Yp;w_I0r(!Eu}yR)5*GcdYeUc15ne8GeBRr75H_H*dj{ylom^@5T<=J7O` zqM;xpaLm|#s#Kfr;fpwP);awSPOM+TWgebKW==#s8?n%~>!@MchdEX8+8eFKT?$`~ zs*K9wMUxsYr^W>tAUw8KUqpqbb+!99lZq$$7FsXSDoLAd##=MPkA4kjn*%pmLAS+G zlNNoyj>3@Kak@5`??KF~C$9|4R1Omowwz9~6?GtxPxo~=^rOmpkEK=kY@G_0gJFW6 zul;}4$~@&7{dkK5j+Jo1nXzZZO%yox3>hAF8&y;K_@W&5h+PJkj)+D0HVP_(3-&24 zUC6%|KxLB69)V|o|Dp@|cLo3dS?GWM{eSQK-?RVs(tZSZ`TspTKYxdlmm2ckNY9G` ReEAkcQBF;^T*f^3{{cN->D&MS diff --git a/docs/source/tutorials/images/REcurrencePlot_v2.png b/docs/source/tutorials/images/REcurrencePlot_v2.png deleted file mode 100644 index d14182271e6b2a03ed2978d44fc2554137203e96..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 129654 zcma%jcR1DY`?nR6m1K`&gd`*@dnd`x-h>dcvyLr0BxI8$D`aImI3y%1+1c59^W47Q z>-Rj@^T%^tk3W)i&iTAQ@ArMb)_ua&R2~u$&=6o?U=Tf0l+(b#z>>wlz+}hAg74fK z{z(s?uw7&xY2oAJkIkq~!yiWSby{ad}pTeIj2!-1<3f&vE%zd=~L_N3T zNz^^_Xf|34%A0Swe|b|=1(;LoF^c~@UzBX;`=fH&LQd@Mmmn?9ZP;+saXU3Va;u6zc2OHE0qeqDkP_{AQc8IU=H4 zQCCxYKCZ4f+P#SDvcwINMv%(M$-Qnj=Swlv(a}*?pIKW=&&XI`TzrTi{W8<~-vv3< zHZ9Zj^74A0nmX@X3y)3^a{c;sX=!N(2Z!9d+DPO@rQOK4Z{Koqb2T+JUx_gYx?Zj( z7j>w~4X=jAy1Kf&yu6Bv8-a*8MREoP1}dt~87C*<@nFZ7!gP1<-qk5J4nf!)?=F*t z2P@>7u^gH9Pfa1`zb95z363BYS>uzEbd;5&C>Bm2)Ia%g123kIUJuyR%mHy z!$Lz5_^q>B>+9=radFCQH)xTBNGj8)SV=^h%Hrnc7iBiP=g+C>=sxt@n3oB=*?ul9 zT^N@4+^OZS9wft6Z#I{q^hDsw!K48o^Y03Wf{;i_p?o zk`S5N(jkgKA0HnI9^>)hVQn?FpOcdkzQ?<-U*mIj*!z&0QR7J43wjS1>8*^EvXkNq zrrzb@*(k1_q+wvt<{(d~@0CI#{fv!ub$@q6({6d57HH;kn>3CO{-&a*7cUw*J~@#* z7aisdk&s{$m@6v2mO{YhxG1wZw|}=z#7cIX zkMGyiRMY3r|F-A5-Q3*t^z>x1NgoSNB9%iCuUky1sOVVZ9#JIJHZ@Jz3l1#121xOC ztxRtn`uk&q%aKu0+3=;*H#9uwry&jtGW%`G7pKT7#H~|0;_c~Ge((N&SB8Z*wFh2E zW#v=0gp?jD6O*an;I=n!Og%gf3{u`j&A$44JfCOohF6NE>SA?gt$h4{U;e}3*4hAQ*g`!_f^_{jJnE7^;~ZWAsm zmq(8t!GUpcak13W3f8i%9>vAOd;IvZx0e?eMPyRaNW{%M3q7e1nd3-tmjC_h?RxNY zcvvA@?UNQK1ClaF5ra+2TksK%qKCiG{& zk|oiZVqIg6XKsE?QlvOxsOSQlW?uU;T~n$IaqswKfgI(X7;Ch_B53TlRmnp&C^M_wJu(a1`;+~4MAe~p5)`mul@1dg;aTY^#^ z4K+3OFWVu`n_(!kic$EY!m6ir#wm%%WU|hqG%W0)l2XKwZE;~?PhVdq-!mmeMSLfJ z1)hQu3sb}EI9CY?zmBanG&JB~Npp~6-48;%?xqPSopury5fQ<`!mN4qhAlcK#$6;` zTwEMCh>4A@W5%g--Z=~fM>znY`0Uv;P0az=QOmC1j7xdAxm8qEt;=+I33cGSlas%e z%Neb(uKOm3Mh$VW>+v-V47z8WPESvzs9W2)<zBf53c0oJYk$tqPIh*7;Qpgfs14l( zIZ`=C-X&KN4+h8K)ln!-ceuF5E38!=9M)a>#H;N`%jdh3Gz+xI-T4T5DPp{=E>9F!u@?0VB4`1$#FF1TXi2{N_xHTc zdecR7b8?J*_nuOPI*!-GB_$oK*KKeneutOkQacVMdUMms6l0xHC4a!}HjXqgqePJ! zhjy{P0P_5Fi@oV|yW3OD4;4ye$bB$apa~^LqhNP$#Dp>PO0Da%hP-?`d{?Jfe{Uv? zk?q#4o>U>nR_{i?Gq0B~?)BQA9XZ2jXxvR^PkMY&q^-WC`hP?J$ z&*n!0F6LnORO&xsjkkOIU8$R(E#FSLZ<&HNBC=w8f~ZDrT*W)f5SekOFz(64n@!EalK1Q zqKs4A-P_CSx4C)qCbWv>^>t{n``g>!aud|`)L*XtF1vY0`^S5MNR@mz%fFUg(^c{{ z3QA0x7@%iTQZ716>vB;X8j{PKQH7dO)m!q@JmaIbp~FE#mt!S+R663}?%vVSk;7rj zOEu^G%HEzUFpGr+Wn^UZa%+nt&_>{WV`F3TZ{370EnQtWZuu(d|6E0$awc|J&NG5M1k#u+{k#vXUUwLp8wY43l8pUtl ze!lg$9To?603ES4{OCaJk9(aFTY|h|o-n?Q`q$#h%DhUqnbr_F=6;9jjq%!wtgPu2 z>x>j3qy!=AWPj~OxSY#k@0E?S{V~V7Z{IS!*B=mv(k37$=SbJOCySu{%%Z8cJ2RH#$Be{g`F-IA4+y>jIW{60JdlrD?) zs-mLR&NvpHrc-BVf2A7H#`T`}lJ7SE=!UJp$jFuuj+%iAU#wjScPK=L8hVnQU1UTA z*7XXdyyNw@Eode`ekfB!CZ?u(pB?Yrdi)MnX=dy2`h=p9uaTioniPVAi>r-mlyTIb zh?v;j)%9y-<=(-;{gfYHzI=H;@bT#QcrxP7l9MneC+DG$pQ-6I)jKrO;%+Dcw(+gU z88|;W03Ch(%3q)ragUarF`%Jv}Q~msRDv#6$sp{x@Bg46#Bf_PkK8caCs_ zW`37h7!u=2_g|yr1_)JCBOKWtpPFhXm}=s8^b9M&2_QAOd_sIY8)3R0m$r}3>7fO8 zQtF#G(<1I?ndsSo_G@8iZ+sjEEKD5f=17mc-qW+okCsfpi}2Cxhh}GOV{aR<;in4K z)X@0#>(^^JW}^t72aQR$hr^&)gUIp*s) z(psE*Jwj7yyj@I5-FNQXnR>OD{`03AZ)fgvQT^iKzP`SR3Hn$x$%-o_x1sJ=8+99- zB~RI>dV05$x-*gI&{)qlntipdT$AqyNXnMbWy*WmyOorfnVB*2K9!eiSAe9hEyM5L!R?!wF=L3Oq@aK!EtnA~JVRo}mx7Ojl_*o& zqiR~IuTFj|p=*|rkSdg(7%xuotA6p`-X2sx^Rhz*GGVWVbHHVZiHT6~Q&LiNY4_-R zsFtD{z4ks!AuxJNQ8PbnD{+I&zQ4T<1ujF#anh3e8D9#)HG;;`CZvtcYh|{I(N)-) zT!uBIVW_7%I*W62u5NDqHvAHq7lWFrPckLar4Y$I3z3vO3?i;J&?q$XReV2%8Wn3V z&d>K`N@jM?|FIXWHH<;eh}GA7&i=Zpl7F9vCl)<>baeE}+j~j^ZJ?$Gbq+yJfR?Pl z#>R$P48Win1*p!tF9U!_=I^MdIv!o~71n)#&YRNZZ=R(biShFKBVLDv;f2dN3)4ZN zn4Fw+6`{wmCd8Fxj*B{I_NTr<5Q13Z;p7zY+?@VXX?Nqs4dlE?ibAp9PLB}WJT>yO zrQBF!pDlU&(QgL7?W-CaC4S;q@udK|a8{EtVT>#*ejaC39_4h*>b zcx+qwt-PF%gQIh5Dzn}E9#vG`djsMy>`*hZ@HVRo>GCaGzw&cNTrYg*j$QnS884N~V$b78Pw1(rnrFA*e$jDL z7Ks8$xOeZKe(^hHHW%TvDYqhfkKcQ^L85(U89E;1@<6TdhW@ojQYLg+ruJ0%p14=) zH@L0f@&EZ9M@>V0bbk0UQK|CP&cc}Fbq*YQaj&n%#cKfH-~ZgBqoTst9w)_to-sc^ ze^>7tKR;L0W@eI`FddxqTj?q$P|n~n$JS_~abqu!beoB{n_Kh)MGqEy*x<9v%haT# zQmkYrCzrqhnlTjBmJvE};VU6mgi4a~^YYGQay$;6bpdT$Sy>^%#g53St*u3#?{&_f8pQM1lvMUklUcD zzP6y?Q;i~bl4`2pU1sLMKq!Ms?ja#z$f_5q?e^|xcmNH<5=m@YRR{*7E%SZMG*h+(87mw(|d z8X|*9*E>0BoZ3S{Miz*8eY)_34kw_)DMfi7MI!kl`CgDRTWZfjpTx=P-}Xp$)r=4Q zp9E8jKYkOrcl+x2)rg!_K?g1#9!bB`n#i1GC9O1Z@5zAymV5WEizQBF3cuW*>$+=D zh4FCad*U4}PS}w*zZ{kr)@tbJRGXo2)o4!^QXK=~0}J~lsg{NYaC(4BE&oiOK6Tq) z9W6Gf=1Wnon`nI2{VpOR0?pvP3bdETM6pg4Dk~i^5Pm1&v>q!KvT)Na^#UzlZ0zio z7FQ8p8yg!_Q@GFl%dR-mG&D3o7p2^H$7@~a>FHG^j#vYvmNqt!8x03kgdM;jx-82T za^dgK&(DD&OTPhNOCov7%f!?&HN`lW@RH;`rTa#bEYs5I(GK(l=D5y@i3Y$AWwpyB zqhwncW`e1Ja8=WU%b(x5v$uR@;`?WQT21@p2`JS}00`pZdF)Y8(rluw}j@|wJ z#zm{}DS78Ud%^0es#e~poKMa z(DvUyZliBF-|s2qIWP9oJJ-^k7HAa2Fo?fTPp7A#2u01PWJ)wRPDzNQ6Gs^W%MD}n z1D;Nlv5pEOft?9EL!E;>L}qKG>AdpmSMoOwTom1~95=|wSjn!&DHZ`-Eh;jsc9?iC zV8>8H9fbH)T>Qe+6vM~W&aP0Y7#9tjvL`xPyYMEL9x#dNf{mpmVfR&CBvLXW2bv*t zS42V=td4yD4R#f%xFOdl32?BAwd=eO*8l!BcM6H=?VYIeK)1Ek13-sep^$rzojt## z%DpvlZZf^qyCmUu;&0PAVNS`~CYjUI%wMPVR2+;t+7LB@}%82q)}amnC%coy9&)j<YtDI(@oyKmdpyEM7(}m3BB{Ot)@@^exUh)j)rPW&4d8Xg- z^SysVbi|8?2UAGo>0u1LD6FPRn()jyf~M*MLyArjubU&rKl zO;Q!H;v@`L2fZ86c<`h8KY#R#wP|nO6nM3li+3%5U=+Tgrsj`O)YqqZXYb?5MIDi& zkXu$#qQXVt{p!{7-tnJ5f8ZD~#Nwg8^f=@X*qAcey?9YvTAC^9Q3BH78|^zu-SPne zSOLw;u2tQZl>!1#q3A2>qtBc-*f{FtrCz4iN!CM09jRkC3xS`qQUR)z#IT<_)(l zUTvaKz&fCo<_hQ=S#AGFxzDbW<~g6J5gHI@xp8UV_wNz$N@3PLB0h&s z1_lOCp7caf-)C5u)Rhv0tGL1kYKyIS;_(;o+I=yOr?i6Ng&Fmr;9GvgHgULd^<*iA?rp$$E++D^^bjbP+&( z!^6Y9$@j2d%b8Nl#}Xlqq_fqeaQkMQpg{wlC&dPa3Th&`{GL}(yH%>FBX?NOb9;L+ zuiYi6=#&hx*1S|I8Dil%OMzFed5UEimxh@ouPlU~yfPO5T{pDs3St|GIKZ;DgGWPP z({t&5!T7Qx?HLCLlboD?p&yPlP4q%*$Tj$3eFJrc{tMuyAt50*-rqx=w5k5qa zfs|0tbo2sC9iN7dj_c0dn;;T~Tkh(EGF3Rlna~9cDoSBCXnT3%B|Y$GAo?N^Ie;hu ziz-xf_4L3t*nqZ+us$QD;gxrET+e$9C2OME(Zt22LXOj@!K&w*+lp0R#@fb)q!~l0 zYC+NG&%?{E2ef*!q=`zm;uNP@R^98gbMK`pm-y3C)q-3eA5W&{R%87b5a$o8o#cq5 zAzS*p7x%nmJYa(h3erR?ELrz-0hStAE~3B*@<^=Ji`(?bvSUy2?XbuFgC$n$z# zuKnFz{uE_6bIWBGXa*237-IALZH&E^^Ni};M>m|~F!OjY>L%8Y2OO$1#eF{(7OqU? zw`|@itp_4g?ldD~TCI}#U{OS`So;zTfshaVN%~D%T3X^AXwb#}D;5c4 zHvswfQtX{Z($=5$NBZj*ufvtPd5{M}oBL{Z<|W3!NI{{HtpQ>=bOV6U&4mwR7<#(8 zFn!%f{#mW}=iUZz?dbSWeHYD$6m$DW4hSY1SH2&5jg;OiMVfB7CooUd_%T1G~M z0BUn^yhhJH365__(QzaXbanL3Dib~d5mAU47607{?6*pJ zN_k`iA+xkH02^?hett7Oy=6=8AeJ#O0$rz0-cF9!J; z;5x04L)(lKZcuhv*;WXp@wB(+?-y0@4BSa4Q0&KFR@G?e;skW5TYc{4|9iXeJ#(M1S9}2 zyx^s}q)42JUS}QAEDvMEj+b)(PMgvZ>lhf+frtnYFjysDn)EHG7|@I^5g~NHC~9DD zPyo00_hVEQ;d+gP9HCM)9$lPU|M~h{j`?L)(?#aR>Eh?7g}~5>V=qy!cA@Xt-Uu*e zziW3s%VbY)c>+{uo#CEe$l-VoYC8Zq+r7n1Bm*n)tJVGxewyOi+E>tIvzeH{Pk}Eh za%Vxl0HUi=Kpv6>J?77Q8YpG3Dj1r42hhCri{TZEJI}qYuCBJ5FCVoB46Dqx(_Px= zcUmToTpk zmz}I>>B}ARi1UB|3?wosMNVBSTTM7!#lypcEF47d@V2@dO!#uPBl_PzTSmsrs9jeR zNy#F{t)_635|xGcE=J#|9F8ai2-pXi=xI7BCl8TyUteEn8?p$D=bu0xkfIMZ(=E{Y zW%G5cI}FR*^2Lj_!RG@AasetrN*-fnRn>#-ZNQ&8+(sYoEy4BUU}fj#=6?C))Snv* z2qHT(vImyrt7MSiBHVrx6B8Wi661zH&=Y4m8pi4_jPT@HGVMaBcU7F3YF)_H0uTPU=zJhlJ z^kkEXC`@|my)4dK0wJh*Z7nU>hw#@wfBpnLv9(o(Ci)%R%-JnayGo7fK*R)$L@ZNc zHt||IpAsKOi}UH|h{tUqAr1}>rh8={za3+`D@;Y+Ds;3l+@3QBHU+&^^5S&IbPp=E z-$IJ@=g*%ntCp(d+1vfpzPU;4U0hjkGkuMWR8>iEr2ityK>s1x%v9^}aB_Mhg>b4J zKT)2?Hq#ahkUD(zpyuT)F5#s^ko(BLDWS``*2l(@RZ!%;G8>B5P*?YLj?Hisb=FK#ZEZ^5 zBA^Q<4w0WzJf!#zd!LLOeMW7oEO`u_&{wKIeNrsewzjs8jioWNQf7|xKhwI7(>{}R zb%ppz&t2_Q0TI6KCLW1J=i#e3fh&{1((LT+EaAf0f*Q}n#H7qNU|t5qge+VRBu9b} zEK64ONQdE0abx2ofJihtOp*2cn1-=kJ_KZaGcz;ru()sknx3AXo12S?iGdalP3~%n zSkprUe$L1Wpw!gVR1k?3Sv3?DI}=nTu9E9J?$CqIaNCkEU8PC&F)oTX5OG0SH0^Y` zQD&EOkE7{`(R=0PV@{MvCUD?t4i8U`Qlx435+W(9D=TkOP*izz{>oQP3V!^>k|p%& zlea^*ZX)T*6xTfJwAf>m@`k6lz5gc*5V*-LES#*&CTdnw^i_*9ar?*zCsZ}#__iD! z-HjVTIW{gXJ2R-T7lLDT8;znLtwE8yZ`~&}IHK@Sp{LK!^3+!J{euU5e9niPW&ufy zt*ci+(IqS(v&X`qX}1>~gH8wA4tNL^8QEW|L~pziu~*w4M(siRVhE6O5=n>is+1SA z7meeGjNKX+e75{h=?@f^P_|;U~SFd9@D@_+==H@1jMNdf>2~w~B?I|gNUkX0-gj@V&H?}kYbDfzu ztj@PPsoh+fG*~8EtT`o^Ht8BTD!Fcsjzg(|h|cM01R)9}L$DSA+8_{F_4Q&0<_^9_ zz6uJs9rkTt{(=6_ov74MUypHbE?Q_3pMbz?Hd@HP6dU!WzCv?}Q7TWvl*+-*4*O%b zLpAbX!UF^>2?+_}FbiOvpu%SQRuKhe?eFg+{mK^M0bYlPgI<&>_#(c09&{e5ikgCg z+sw>ZVhDnezd^+tngxSN!^I#k*jE0r;m5_r4IDi=JD6g@FSj4%LtMNBzaQ8V5;}ku zr<-p62|A1sOdcT?mLMqvDA6Pmhs^^6_r=6O7JvKhUE{_1Np}(tp7Y_u7`m;^&E)&m z#3{-OOrNSgE`WQ6JQCew!1$H$?tkBH~wIOjTy% z3;DaguEI(NqMCN@*8cuSjRLrv@R%w0EO4n#9h=VFp=NZ?$18qtPg!MTyl@1EvZ+Zj zLMf9zc4hUOX!l@uvk3Cv+8mpC8xhhO@H&jc^){0YJbko zutH}5%mW+%9XU~HerD!61H*Y|pgkkcMxD_adjf^p?tWEu)yEGXYQ9Ii*MazgkFOF$ zO+CE<)nlo;XBcb!Z~8#%-kxa!YD|m9f9x?U*#>7Zrr5JDO+gB|x8gdR8`YydFFz6(=+HOc`*L?l@R*pGb zj+u^lq`zNXSNHJyol^g>ulf1;;N;B4NKwIK{ zD#FwrzxDA^>ibqswT7Tb9Bt31+_x?tU4=UXr9UgRNTa~n*_nb%mz0bQf(SrGx8x%! z!rRRYhrEuqp8*zB4Ulr=^*KLU^zk^zdz=IqkzUjth+ zJGDoUSNQk%;NY)c=KM5Qu%s<5EukU@Z>v*8<^fCR2<{tkm@brabG(La}5^9S@a3|H6I=z$Y=Bm>O+B%sge=;+}w zdDwh?i91j{@ZnUxeleKmVhoNxt)xF1woJY|RAXDQ5M;x_jC~_FUQv%9I@T99<(F>% z^}?@E!iKaY@$Fl%HF2+8>6+gLEwsd-T7`prvi?;?O^qk0j!-bP3kBHOt-)b1tw=?l zt(Xvmn1f4Ts*@BE@jaXA?oSKX9$BX-gd&(C01;SX#r~27%aOLZu>~Sj@^73TfizZG zU0rI@G}(UB$@fZ7i_^l76fnSk|JKC{$Wr5Q-Hx7iiXIvXT0Vmc3@U;FpgM;)BN|FBI)nq z;{#DMKrh;6Yr&^N@unpuEv~G9jsO7=$P=ZhSZixjWcKy-^sFr{>DGIeB~^R0N7Me3 ze)?}vE2FLsbV&{l(#Uqx$G-vXoSyn*t3fK_sse^IDOKoI94v;|jg^%b^F9qjF`t*=A)2clEAZ(jwYaItS-c^6O-w9XtG02rpGSs=UyyVzS= ze#p*ddhp;#Wz^fw&Fv{;118WAo7>7oizI-11qRuxcY8jMXq`ynT1jZ*}VNK^9$aad$@G*EMh zXvosMaJD7roAAwQYAPz?Vr9kAT6zfk8V`>NA8Y*0)*W_IE(m!D)2$1AE$rSH@rUgW z4i0D#`2%p+g}wLf0rWp27LQiw{-M}3`yB8Y^q;=PDYhqJGCwyrc@f&R+rbteKT07w zdwbd96|3)Aa76su^CAn!3C3VckXu_{W{OkHz`{Hf24%LWh#H4EKoJoosKtTPqQXub z%RaqTZL1lCu&F1)URqhvu<%)FzbT6+1gf**!s!+OGVgrJ=d>!hykQXneCk??aD!*KS@}RkaT37dV^ z0LLQdym_!A`!+M_pq!*o{dC#7Ky9d-2LIJ#lvYz!TxvB3BoQZuRQ8QrM zKIebmW99PvAPP4`<|-+HQ5{~5mopWif}#yaWP9t(78eCXPzZSoUx|4Lrpo3IIC+W% zwcua8y5OYbKD^UI3TZu*!ZE)Xhr$wK2G|rP)}B?fqHXhw5BYTU%^cOBOl< zwIN9gQ3NGrV&V+Em?@u~9smupGBQ83yTQ2ox3U7!kDJug4~|2x;}m@UY-?i!Y;<{f zdG>4?FEFgLYiMN;q!qaCaX^$1dQ)Wm6&P~u65c`7LQY;@{I{U^o2LV|mAUO#AmYQB z2(B;S3huhZWa8(1zXDQN_gZf-tLz_wDM*gahpLCQhCeW+SC zX5Zf4KJ@e{_t0q_7NX`Gzb<>GTKOOQ=^GHcxuGg{&vCt;IAs-3DV%ze{MUrIsXdo$ z4dhcsj&KY-2dO-fmw($}J+?f3pm*z-oZo1B3UP}mp9;s8z$;pul?@GN4F{8`87B}n zXIvR1{lp|C8Q(%+;v1xJSV-|98>oyRCAfA?S`m|b5=zv+!Q1Lm&1nx@)bKg)+*w&) zcQ5XRw374fK|&&;7gLQ!9OM!^KkgIa&cf4zsUM@Ai%DIYvAz!RvkxCXh6V=%oa5PF zec-W9$6-z#-2vStDEiVt(SL#0H~}a9EBIN&VVXupXOb5?l51;g+^Po`GNjD?AdkeN zM}~$jHc=#CFz|xJ;XI8cL+UCZX~O;AI1)%pVWD67X@(p;R?q$wf^!0yNGbNCtuW;1 znqbA~SLB5s2$N;H_GP2)Ym?FF**vnViAs0x+`-XXsGSx`5cTh#0v&ag&je z(b6IZz*ky`cclp=;@o~+b@hAv{5Xw`hTIq6xW<+U?JGeEPxjY{-C$(X?*v ztVDnr+w}AlRCiaAbco)Cp)kkgvo3reLf$T1PKG&dJ(_}KKiV}B`z}S~s6E80Oxf{^ zwIdO)L8(q23r+8R|IfB!H0{ls=6UDaLHq-J)gWBMon> zsi}e5tz(W6I^&o33x#4~WtA(?S^!Jf=o`PdctdXPY!Hb==Z_zTm9|6BpaF56{CC_#T*fV{waG2(ukB)X0;Y6LUJ^Skv9v*IjJQLVN zK~5I3!my=IH*~fRFP|8TNczp*$_UuSab1^`6l{k}axca}QUr~9WA>7QhC_q`9u{Jq zH5O=MU?BW7eHr4kG!*Mhq%~|V;L5@cibdPm+J5iq0^qLjMpw+N6+0xWYIqnnS5M0Q zFx1Sc>$c^iM_sgz^(~7#v5b<&CMG1V8pL$MYI=IL5bRP_?JNHk42;F-W}9A|KK zp4TZ%0NK30z8(a4sVZ&GM6mMYc!lYJr(6vI6HMkmL7vq2@AVA~FmLjTi2(oxyK6Ed z9&%j{ll4~*B@Zs>Tly%jU!S?uqw~H&i)(1`1rRnXpRtZ-AtwbziGy4rC_6tNFC^>g zK~#oVnj||ddXN*tUd9F9M~f7_Jl!oC%zivcIHOQfykuW1=o=uAh4Lfr%~O9=(3 zYx3$rE&d4ngf2R92absSy*&_)pJc1Gq0#K@>{AA!g1G*YQt5SIgQy zd;nYo8Icy=daE9qN_``3Z3VXY1#3z3N_}vB)ipG>`yVm_fdnHN2u5&7NKe`Wh>oYL zj0_B*7Iy-g(ZyEh^jCjm)xZJ}2s$10-R%1_P$VfaHxuL!0#G&S|vR)&U##+WQY ztGBk!|4(`~^QQ%5&A=>JDQ)WQ?TvZ;8Ur0Gz7H1RZ-~39sPux~0qN~=$ap}|4hlIW zlMDqX67_RmiJ(EZ#|MfbvgGonpvcU6-Fb8&I;^S_nJ2Gl8AteyYiga1Ndj7n`$gSdo*%I1AHmmgS# zBP*bPLi`}8IN?m>9f-n^ZSpys2^)jJf+SKRPVP^cueXW{vEnksQ=b-U7weY&bzp%w z?LA@P-@Es(#C6Yiw6%e?v?(s;kdQ9R)ag(`9jy@Ajx`8O0kT3Ms&rY#SRVua8y=)c1ixZ@QA_GCgIIM9{CI;ZR9fX?%6ofK z)8MM9AO$65F30|*0bU|p6rU3lq@=Eh2hd{l2+b_Fm& zkt&{|XIrTcfj@nHeXHIy@C+YHdSpFtTkK7T;4xNQntowdozE?}L%h6BKPnu{bcyLj zSQEM?y;h3HmL|ZVURZdSl_dq_nO|&t$W4=ubphgbiJw6M;N^YYV`Wt16wo~n5qyeN z-}P0!04d;$t>$HblBR(*kdeuNNy8YZ%N2TkE^?v{a=-acQWsoBnl8@0^E8e?tB1@5 zT+=75&p?YKgMwTjhz~I*7rV?%QR^yjYP|QkBHMu;Ixp_rwQ_NEt@`7_MKmrshsAmSl1){)kp2jC8 z(88E1VJt!i%$a@QW@9qZhseAO4w+cMb&!8cb>nx}pRw0CVqvI^pYhqGmKFNpayi`+ zFy;|1*E;WvPD5srnL|ZUWCax9`RY~lk(Jp$C8)yVby}A9RXKM5 z_(4t(l1@)gD`-FMTno3kd~A)U@zC7Saic%?;ccyd)|q}@KzATZv-xWMZgDZK3DSr& z(E&olJywtrVUAnUe+r}uD*7?>_LzLG9MZvGUjRZ$8Py_?zo(u-O%I*CrcI0D+Y@or?fr?d}$JUHVyA z+OWV*4i5V2p9WEGL3bsMoPL|}Z*F#Wb}R3S4JO9Nxzi*~jEyCb=a->HwKNy;STG&I z>x9jd4h1L{jh)?!opf|~lM7rH2x;)Z$dA!jq`&(#OxZLy);*OH@4Z^?=HVeAC{I1ToLuw9tWal; zBd1KF6ZPU35uxdHmi%GY&}I3#q=ftS?EnM^A0OH3uWPMWerDpKoS@#AoB#D4euliO z#zDUDNsd1d!Gc1?Le2-w*=U7X$eT*B+z&*+yc2{{48E9R21xy`^WaHWnS%OVnrY%~ zklJN=Y=5#p_klICT|-yxi|5u~NWox9M?;~vw6cOb8MyM8H6CE5sk|1A0A?6tv9Vm9 zhS3UPoT3j51i`Yw2e2D}SCDkwJVf%$dy1WdCju2C2H+hO5{TQ4faEkt37ZYVCU0+R zHqQp3XBU5DGyu>60ZENRVye-%J>upp8Z#E{B20&cX#!|_t$GR<2M6pCV3IG!s-9U| ze$g%JPU2nzVz~CF5~A{_5M=1fG%2^dn$QKx`5Y);<>lqN$_qe)fVac^3figy2<9ak z@!2T`{0nFYhL7w)5`r@)FE0-P_0cb8sG^knJ#3m5vM9UKMwk|`uhg%0oPvPl(P~8> ztN~=Hw;&+)IEnj;LiOj*5l}EfLNKc^;}k(ZE6L1cL@;3QbwiuO6BRli8&? zO&AJSf0^xvG^_C!)0WQ8&hls7FhPUgAD@r_5+$sRXtwmPmA#3H3BW|)n1rFO;NmLC z%fr8uasEIE!SD=}m2qWZ0dEjinj->BoR%T8&#cVw#JhH!yQ1sEz_OO@o|H*uiwz8V z0VtFTyb^{Q8X37mPLPEmem)EKb^*DPqRkTa)P$R*B@D!X0&CAoh=Rre(j9`AmsL3V z)I_-w^9qz-y6e|plFaGjNEd0}VTfg{_yRe5z7#d`yn$s4bL}ux|K#wxlSpeT>N#9S z5p-9`kT*LF!nnfBpgliT^kSdM;bI1l)IkQ!+CX)>IPJUOrHTUR29#Hdw9UNi((!=U zg!`I4P4qrqCwC4hPWBQk4W)_CbxO*l^z;|iW73Y>K$l-s>R+xNg#95dNPrUvcpPFY zpnPt5iUF~lX}tp4#PUFXkXr$4P=0=L4#g+Q`s`%k)de}xy=$U$G5w+jwdG4f-@8|6 zX*4u7T5pkI1*jPrfk_6cow$Urd6_PR;Z_zmGN~AmcNo=0Kb)Da-~k@&>FpJyBCPY+ zSlIG}Xb{97Ou%-A>=ukg!G_php8#<;JvsUJWPh3U!8$;nb~JiqWCRIe-ahdILswT< z7}@}4e*j$-P~%O?oAe?+o}lbLfBrl=I{K31Z{NJ55ufmcZD6QS2iQ2U6E*TGdN+E0@@KaozsFasw4=L|Cp*nMm9QLAwfV8`>yCNbZk)@;Z$ zE@DpnKrAdQHT-|e>kcoT53RU~d3eMr&cW_{--eG>xwK@%mT*<$svsFA0<07=&ga>mR;z~(QUix*f?k12#m`nf{#AlKuB*Q=^}3bfCT~t zg!2Fy1!$t_9+NGzTM&tqH8!67`h0+)M)PzA5q#fzDp7y{&QnVZs6BC96s`bqLt{zQaRNWe| z6lalO!O=)%W$A5o_a9SsIyy3Dib!-H6S@4FyXbc2OHPJZ4;PnfgoJc-bTIZcI%Zd? z3j!=Ggkyq6YE&f^4b8vxbzFngsg6I-EA<1UFsLYm@s*U6<d&pMMI#h7e!T^@2s5r77ff6!qxKS>n+Q@2ds};-waO8zAIWiviO8you(tA?{P-?V96MhHWQ`F!Sua-IfEoj=O$zsy%mPG-c#m6^6+ z(L@XCUt{dlgXtaBCyygzqro}6QJ!NjXaJM|P=&KIM0?JccOjAO#mUdFRiFjar0XCv zz}!zG4CjI6EqOQ{1ba^~r6?=Q6lRoQz~f}2X$rcg_eMifT-?jU%^BF3P`6c5MfQN< zp2LZn1bqU`J`mpMMBVLYKRyBO9br7*Yg7lpAcBxqu+{_}d?sMvX2N4iz<}%0HigY< z{A&ItUx$Qu6X4QV7!X@m&csW(aN-7FR;| zlviYhBXwh8XYh{K|6~EOV1QQ|3o~>EVlxt%8;gs0_PCjSmvLI-QpXoBV7?4oXoyHv zf6IJ?#X9VW>}_twnBI$MH{aAd;F6)DrM*@Yc{#C~=j`O9wzLTI%NY6zJfodh$ZWOFq!STT@_Cz}QJ1Au?!py7%~e%Z#hZP^OqTg-Aq7Uy%5;4|=loB${CEY@B#;^^DuP=J?z6w1EsQ2; zuYkB!V_0HbI@N@{06f-`k}J6mbspxx;gEvj0@7ge0~ae8YXWJ_I@7lbVu5A4X^GjluU3kyVT6Il=$k9dJ}i!uq(5-^czLvW*&%Tcld$sr^kdbLaydH2ujIKXzyZ#L za78$KM$ORajJK!os{2U7r+yod;sBb$k=^(e53LD+Em51OLXa7Z4gyEi{o*uJTVX8; zQT=Fzgt)lN;tb{W?OSqCi9v-FO_yWdf^%u>=!lp0=P;ZM4U?%L=Lxzv07J>m#g0Wi zW@f!nzRJcmak!jQ`?Z95luk^{5KBT#j62>6yaPlC$nCY+R`?$EAq52ld^cP0d?cEHV}1VS zwKL}Un1yvnpi;ET(fhy=dF?6@BuxOuV-^pW;KRb`6EvD>B(mz#IS|z}pJIw4`Ihk(H$ux#tiHg>5f-wRd-S*RaBhNVue^h>(~# zLycfN?jZwAnpjmFZO)*eJsSgo2ltG$;sW+haLy7CY#>%uz?y(H71KPfL z(ExQ4Mw5l0{DSu8d$KPMKLW4&(m|R z6gxL;)wlWi>_IKfvrh0j!8Q^FvjxZ!__nUDyKs06ySag~h}^xaLG$tw0DJGt!6P5d zC0GcSersTehe~E=2R0F)Jn(35yf1@VS2)3NQsG1nb8YiK(f;k`5I{iRm>~G)Rx0trIw?APkks)of7tH1OZpvF@$nB&Ba+x7*+i5^T zv=o7K1aY^AT+!+YHC~?P`y@S1nUMp8#f5^$BoE#b6zTNrF9=k=ehLf$it>- zdiWS7qX2=G!&!Ut=2G4d;v@zRT>k7D%uYjJf;a!j;Au4FO$G%6Knp1TK2D0SL0|<( zdGi3zicr2Ejx6+&6RkZtCdFcnIQ-zK-QBH)huLcI4hw+tg~Y_@V$mL*mN?9i*|j-M zfj$LO3gY4uLn$JYPLnk+a~m7|V98+zTqar#xif(hT3IcG-(Uwd8p83v1_q$_Lq7me z4!OP>@P$B^aGt*pkR68NfF0Tm7hNSG;ekCvqb2Du3N`~mwo?vrAho#xCHK{g^UnJ;Sg9v>z-lLnDK=z`n3xh26vQ%908?jWr49}-z=F!Jr^x-u`@ElRy%{A2 zdUrFPrzk(#AX2mmCCAEE;=z(ulbT~bK;C9X$P>OZy~>f3ga2taCv;La@`E(~vaePA za>Ky^s&RobK~1h9f@kH%kF>N0(1t*NE4CI_U0a{1gRt7k;p~oU3VIf_i(UvXdCztb z;RmXLktWq_%F9rl3gf&~Q5_%IByk?3_r}B!Cv^{{|D;~c%ZM1;JvxH{jf<5v6@ccT zk-@$JK?VMW?FniBCwUq$``82%=AeJTWT407X!*<84#*V|QuEF2^hrWa1X?>b9udrS zBp!U$*EaxF)2jmX*ccE-B-v!AFUiJMYY0sGf)mHk3&^qlWW5dy{p$oFaE!sNfE1je zF(MYdvSsWomH`04u*q*?-W{8x64j5U`Mc%mcYb7z6~OB}*EzhuUoCjKGXRAE!@1O6 z#@2xU0ynrE-!?Qf1Yrh5_Ub9WF-X+31mRuQWf%yJh>cZ!^ymRhWn7}kw6t;P_Zy8T z4zSe#B>_`{jywU!cUnKb(-Lxb@USf9VX1fD35}GNUJeE{H4WLqdv+iJZ3Faha)RMb zhfk%B&!0mv7w@!U!vFSa#|nB>zs>2+LWfC5-D`h@SG72wuE+7XyW54MoLn0WP=I&! z3IGByC}4#P0-SB>MR4Pj7=R4&rxdi&zut8s_YzOls=c!Q

^})f?9k|x6qu4{~~!B5v2HFmcbk^Ir%t1NO%hilDVCYr`j~T zq0b(hub)Sd+K|g--p8q*C2pEM1YZXinWfc`}E-tZ`f91e> zg9HPlqCi^7giW8Etn0Hg3~d8mI5oW83A_^oWUqii6ERAh!kLEcd><|VfTxksM7C@g z481Bu(>xPQt$r~Us*nwS0cNFzo7)~}f4C$JMg2DLjuP~gjCjKOCvF4>M3C|~} zgT2E*J!dZu-l}T^oXQq`)j`Yw|pnr+hKP&6n z;9EZmvDB_Vi9(XG8taKIY?O*6A-_c6ZfP0K&dRyjJ(-_>l#UuT3;d1-1Ex#E1($gvXpxU95ThmDc z)7qMv6LYV365j^|M`>lko{yRi8ukW?M`L3nUa{=+&?K9aBu2b6G)muaMiwS}&DnO) z(XHW39J6d-R&G?Se%Lio)i{;tVUL zFdn41uSrR`{MH*ZzVdp9bYh#AIFXJH?89M#;(=oO&82p2u>aE<0u3MWVfc_&0o-s?H(wb$E;fkloP(gO8f!b+^p3rHjwq!*~;O?Y3lu3 zqG>t7v4gR*^52)!J3@w0${~MAfFKwOc&B-r)2EvNN?KgLd|se)vbPvOhLZnDE@nLn zfl&EHmZgM)tpD8C(^SGA3Yx5ZzrU|C1mD6n)M?rvf5d=2I+`xIHMw?3@K9-vo&Y`d zNpO?Mo0wL94M|px{^3{+6`q|jjTN`1O>y7Z+P+ld{q1Fy+m+ouPSL=nssDDWd!%fw zT1Zs(t-1k%T0-j5+Q+qxNxl8l3Fx zU$zWPhmd00#^&7-SwkHFr?y5$bhDMb;$GkS;WnEhBH_o;LuM;tneEHr?BYE5trC1I z$xl@$7gvEXYGoo^!C87scu@H?RCM6HVHq}Mc+`7Eb_Zi+HY6(O+nc2g_e@aiPQv-)CJv!E91IXW>4Plw7FqtNByeFRzgxzoKl=rJ&@b=XO)?{ zpm!2)E4INh>C(F$cvLL%%k;J1U)CA>mZKl9{P&ScjnJ)Lh>zB_fu9A_?}dGm%h2i1 z&1!}XLS%jWm~(jNi>^N&1YL~$kmy$`@(_t>x>ArHC@4SE#+HYL^sx*HVPwlsoYrDoK5ApLGl)D~zd&;=d zeLlgy3Qj(t$^quK>gv~E8z0C`>H|^2HD`g@%?-3F$cu@I2`)R$oX(df#dfGrJo!?B zf|^2c142h8O*E+%(0UcWDRf)+&No;i>69z;#DlwJ3dPIM?D}I;XuT8DNdD!JHfv)@ zc-zM{)zuFP37LY{Vvo?$P%H5q|MKNZuHT(W0JMkoU$V)#&G=Gofs>vrD973GUSCNB z{S|wG)jU7XK#AH$!p(5$NFI}chEiK!Of_)>;=IC!D z5GXpAwtW>Bd{|FOzZO#v9{H~mRS19vgtGXFURqjERj|&{nkjMY*tWz5A84u$@Hcwu zb-ad^XOTARdsb#SpZ{dC%u{3|(*98D5k488yTWgr-bP51rt%}PhG*#spdn0XMmEm4 zGgaF42(5a>RNpFO`M?kh#c8PWJ&xl{yo^b11OwZJnF(70LH7F=q$&O&s~f_UQk{)% z)FqyP4H;FviDrG{Dp*%?u;RsHJ&h|C78Z+qrz|DgdP59gbDwsbqTyi}WCpA|vE!75 zE>Eb!M3`@-sc?AR@1uhh6|}$o`I*BsGOVs#0sn{EM6dTQIqR%^24%c)*1u&>SVnOC zfOi%e2$FMsVjBN96(an>oFe?ZXZ8{hMa*J*WZaOjNLKwrdnh6@G4Jjp<*vsUbHwoV zPs(XMWM+kW^3%A*MTPRVW_(+f?Yvev3F~w3oB9v$Aqs|EVnecMUeG`>-Q2cRKPI~A2=`qza?T1 zAT7+r1evKBuX{V!215o;{jp=`a`Z2Oeur*MPRZrE{tA?CdOPwc%L;%s*^hs$$2_UbcdObO(JiLs)QUP7RX%One|x^Ur$?oF0NR|NPRA3P`|${CWWYm;be|Q- zK#^M&NV5xc*ffG8W(I4ZGqbX?0s|5$zd=S5(V#ODKny2z*;`s(+3<7jh0Ph)o}l1M zkCpl%hi+R5=|peH?n&=xx;a+~LM{jV*5s0na_~wkFJ7kzdO0wC3H_9fjSXa1OcAEV zRuRBM%UrSn2Q)VW*u`*;C^t;xNitUef5jaBc$n-?f>9OjhpMu&6|}ohA+~(}Oui?O zr*XCUacq3-6^VHA@q%m|;_;B$D3IEmoU(wW-d>eQ6fNEd6EP45dstFnkUtK*6_I66 zpDL3W-`Cae^4VTLA+Oju!f?0ot@7DJ56n|j;eo}#SM9z2Yp8Y`^7#19Jhm+EJxk<$ zMB5itU){g;cIu0pIxg$E-`NO?LPW2PynX=g$K0;d zJW*WEnOu?eqjN61o5sF*fVo4uB6|7Ukb@`)fK?LZ z{01%2ZJBiDv1$dOvIl`J3|z|5<_I+?mD-&zKbX;=O~?sq7m)dQ1&g=O{RZlXAiIF9^f_k z-4hcpAwEPl7-|<{s}!;}h>_iTw1$HBx&3t*m4iu3aVxQ@@c}pQ&xkDD^by|uV{tX# zKrqGCD&GL~3Z@9iz((i9B_)x~hp%(XX4_~BJ6-U?0`hb=_AaC{I#-viAV1RNh&2on zrGwf|zzL@dQRtsqAWhJ>Vd`eTLY#@ zGtj=_dE3h80h%*(b{8&rb()Dl-CtE%gcrSt!vQf4tTwmDGvXv(UK+@~BrnLC5Eq9q zPE7p?4<0x}nt~U?!+7WYdu0;KdWf+mgmSZ!y}qtbx7oWPNDgfjOhL?WU@|jXiY1^E zhU!mEZ7ea5EFC_5dV5@x*ZsW#BsIR6$?v7dkSW~GdE$xdDg;5OmS7+t>3rOoeU$AJ z_~fU$d2?W6N})F5+p0d&EEw=$1+gjcp0rt?Uye&o8-23 z>vmR=_)i#vO{%@U@W1G1yTDI}xJ~!jy50Ci@)(ey*uVjth7BIJdVfY73A>oWVH!82 z8QzpK_A=jE#ws0BJDd4yb7LxLqMB>0OSS@&trT0Y*K15-*|_1e@4znui);zbGjy?V zyj8!TeI6*YvN)!5@rUxk2+DnB%g2cRaN6i5%DHHy>KNpF{V(2t+Thfo>R;~((OGBP z+VC7HrMCW=gD?ijMSSzGep5s6sq}jn9MlSXY;x?aTmQ_PbVUYvMEA&B(M3IZA_IZi z!TXmefgC%b*kV4|Ts7f+jcSNd&84(2;>;N@DGGuTFH=xR$Sxv5o=|Em#2Ad6m*QSd zcuaQh4yi#f0VYKe_K4=@W`!Hu#xypc5%~PnED40cq~|;k^lqi9ffxaB!TC# z20>3=oE#X+%nIQSdt#8T%a8XAc$#p-V0btc$%XWp#}YT#BkOw$MiVgVkoGAXSR0%=RiD{gTr4Ij zPxRYrl*+X$dA{Y7(2A!V;(c}aD`2G!4xsmlti_a(XJ8yTFAL{DF8RCWlymyI7PK8L zyocF7UVc`dq!3TnQvPkDh3SHJ4ckzAetb|8qYQkfz!+FRyp?L-;9!V(Nw#GBlmm(J z4%Z_E0-;9alU2bMDk|hBX!2#}(EDAp;7M@2+LjvSd}xLsDcJ7cpqFRX65dQ&c56Y>!VN7dBSD5jl~w=Jf0 zPPGGVfTS-(IUVpXFyj8(qnzb^sE)2wetGajWauKp*N9^WuC#$KUnU{)Gvi*q)w4F^z};EM>6%9Yo?65csW~3_ju!U9h=8 z?8?kPvt&nV2n@_b5cL5p_ttd37cAt6U_{taUyL?usDE_*Ny!BT_QcqCbT8y1T^~a@ zrNh|aL-&41(0yx!msnD4IF|jN7QjjAozJxsWoo~_+Z8vB;McOzeZOq;RZ_wNQpRNM z^fripRnsAUH%h#>o2|hrUxcCCfig-RLv8J*ths~r*!BXeqwYg-?oSQH*y$10cqKrd zH@$aN22`%%tZ`S3OHq+V271F94Q6DPH_Hhu&K;GQjD_1?` zL2iKB(3aq=%#V5K`>k|==qv^iF^0%Vu)2DREw{* ze*os2V_I33mi7ax(9f{{lsS)M{39z$(4QbkDzmC;qh0$A!yZvf(1W-u$xaq0r@y#e zKe09ih3`Ig>=+)?)b?>9lZr?G-JmMZba*ExDb^9Olc*J^pB@?!YQ7d<^4>>Hle(fU zW-^?zV5gsg8_F~_J(uUqTR$+pnz(gkW!EqG9`JtR<7DcwOz;0-*T*{&XzG zHKv~p!!Y1Z<U-Pq{ii zz2#@ti2L=lb_nPSo*|^~cUg;JP^z;)VA)l<;puCpxy7$vJ0V#KoB|?)QnCg2?HdB4 z^Wyn)D25n-M1CckkV^oL5vY!W9EVX9l8=v;uQ6djD^oon9M^Q)&xhheW!`(hfTM5h2e39^31Uq$VEgB54m=s; zKZ!IJTyBYEwGjIGcxWj>AXEXrRgd9=2LwsD-spC4sV0b+D?vSFZobdDW!_B&Wh~|Ser-Uzr(_altZJ(3HZ~r2t(|o^7CyP@ptBkQv1Y_ z6cmtOO+yS+O-F_@*P*k0b>-cwKd~hP0c=uIQt0?W3WRzLQZP0#C|YH!2t+wI{50U; z*t4h6s(^C8fZ0n)rGXrx+KFojEUY3d0 z_E2R}HoD}N5T#U)QLWl{@5-o@<&pW=#1LjnT$EH9TDzn}hW`MlGHJ)(b+P|yR>e|Kp=$VOa-=ocVD zoM^u=UL-9X^w;6+_T(0fk#ORY^Gh+^r|Uci0t+$vD44Tai~Q}Zf>Ib2FnIu)s@|B- z#bt&`2mUYc7wAfGU*fPs67;MIQZ_uTRH6U&uYqop z&XG8L7-z}f>@;?0AmgU%>d}OJ1Ar$mqNC+LIM`@OJ4is5E?+74CKx|K-s%hPKGJ16$<<{&fy;E!p$A^Kh zt=9kUD+YM4&7P_r*!+BA8Vo%eU}!&ptEaS$p`$v$%S*0Fn5J>5XsM~`WOqWzVY)Ew z6A~P_wC)|yh#Gy<$!UY}wnS_C*UYUUfrP)yBCNgL-Q;8ncuxUrrLf3@ONy!nm51E` zBMwsJBv0515QT~z5y;Ux(ufQz5DiVz305{ZmM~!tA|QlU_!?ZmymD)|vK}& z0is4StFy?5-X&%Ef0-ef?MJP}(k?hXX&DXRiO@wiqlfvBpZVj6)9kV*d#nau6zFOl ze!zK1WIjcD>s4oNRba>yh1C-&#mgS5qVP161S?GKFJIp82c;+RZHz4OFbqpb6NADM zw}GC(4SV~@yLTssek-VDezk68yW4C9N(Z(KL5UNBV$316b@d-s*1VC}aN*+hq8?wp zL!rul-77KL!OoWhQ-t|Z@(f=82j3Xt;gxwH2}X*{w{HTmYIN>i4r;_fU+OD)2OE@c z%W#ozFRVG)3x0WOpxVBm2ZnCUe=H#U9~mZRP zudl-Hk@#bm_=SZB;G2eku0E1`6XeD;+WAl2vn|?>QgmJj8B587_JpF7m+3Y%m$)S9 z_lO26kO~V6Q`(**&jOko2dRJVUYeSM0g9W~=Z!Y^9W}J|@hhphu9IR-NI4;ad^p!NzMoLtT2&nFA& zk2u}FaXGzr5=%9Z8z(|{5eE3WG(7PDq@J&um<(pUi)~y8wFCoU*_^RqeVGN`Sl!c26cIn`r z@ceLh59!y`#02aXKDX00qKxd{fG7w_{4>)&n;yR( zsLQV}4MR!w5ICjdyFm1DcNB1-~lOWnsgogdDp4Dk2QfMvKHP((fEIHP4_lW zTDdZ3wi${;6(8Z~;oLcCg!Wqw}S*=sUZoI3()oM|q~5XwtfHz?BQi1TewLp(t*Z>l3_waysc(U&hHDQQNw^1* zxMj|!rJ?EWI29gsHp-j$<$0%xbYDxwyK^=|aob_CjDCUH2hO5S`!)^bg5-y$ z-(64neN_6X?LI5xIcE}(@P*zjlJi8FWg}C*!Gu#OMy;_~H?D?_xr?7HMdz(rr(Spk zhJ+M!+Y+c8$wy{!Dq_#EUy6FqUCTKG>X^8{B@fRn1B!%H2IT4z0@-#E13!KG1U>Li z6e2AD!VC*;P6qj$YP^qeOrRctPaj~LBs9Q)kWhrLp{>HqiCbc2c{G`vf&z~iz+#}E z3vi?+VUZKGbGX3xw3Cp+s)x%QZavCUBV=IV@X?>v_L(XjWn}z^eP?0HX-6-A07HaU z5}=zb)`xwsesyJpn<-{K?*t3Wj?81nkM9YT!>p9`#X$NBp4?N{cE2=lTwf_Seg%l$ zx8DZB1l4rP6C#Xbi1_R~tIAhUnxEfhS3vHwrWt44D^2pYGcygHx(~F5vonRaAjLf!TU+MvI+ODw zfb!*k8kY1;ef+4wOpDZ*9u_wAa=0T)jgdr;YBNLdR}zBI7gzx1^0$_lnx1GKq^re9 zs!bYnkP@UDc95d*k-V5gUD-dnxVi@IQEIDor52czD`M;?l}7`?$t~O10<-j9=x1g_Ibx?0q$f}}41{tPvmSyD#=iXqsUg5j zOZ4xyb%ogOSlo;lyV{X8Flc-+*Dy{&&;>>6f_o*t>(n4!kcLK?n%C3S$GG7tPQYx`!EjV~z`y@k&*R%8Aoqr+wVQExSQL;H^j{j6`T zDrZ0JMLH8kE*SN`M;|ziyp%|e;{f8Inf>$oH+XgAc&}j7Qa=zaoI0SX5bEPjBg-l) zpcDO^=z(U6eEuOI1DBSI;TEqP#Lh9u$MBfqXJJ}|eC$$=K5AnoFk{Hr;2OcbtduHp z;K0_%S~4~YO%galX4;IRqR#2Xt5>eb{(P2n`*nR-BW9?1x3WdPmK$+N7V|M*X*~+H=H7TAV#Xhu^ZG$Hbi0tR(CCb8!Ep>aKNm1ao?sBP4N>F}jwFas7+Pm=TOdvKHu|iXgW5v;{3VcO;6xOJFvvrOkFgMhKAE7`(4xPp|#B_tWVrb^B7A1S3$*d!sPZJ=<@n>A+shG^D5ymnykCK(-EOWXtk zjlVyKs|TLf&PsvE-u+0CwSTRV@$ScrC9MhvLLw0NNfW9JVcB)4zkXCP(FO%x`r-xN z6$|79ViEP5cb}0hU_7i7kw1f>ZXAoq!5q_j98OlCzqGd|((Hhk6Vp}j5MY2HrM8}) zaR(_VA-Q@Gxgmu(gPIYi@}F0-EHylhJ*W4>I1E<;=*O7bqKrpeR7AY1p$W>*b=n}MEWK~!`~%B^UL5omK)@Vik)mj{5+4?4wEAIHUXDb9asM?@_S-T^YP=Q& zJ*law@DdahARt+n|A7Km%ZRH-rRm%G1CWXCz<$SljEvL)T3T8VdVzL_=?o+Ff9sMk z-UbG~$D=*FyjI`!I={yj!QA0>a(;xdW2@PphG!of|0z22OJyDqO8{ntiX>@>d^nVLd!`84xl6e zx(2SzsL;9%BOdxL2P8UUP8|99^QB4oo2O4L;it#_k+y*;0qBJsinL?2>dgy_W+1xShg_5ICtRH2M=%eXF zcT+!1xk6(2%L6Hjvad zC@#S1o`E12-dzMP=KK2Tupn)b;}hCvnyTAh;<#Up1j0q_z0Y=eq0DwOk(8rsYypZS zMgxv}nmm-PCezu_17QVJLBTnmsBR8duDETFZ*N)ll;MH_y8rukm>pfDWh3h+-w9Do znK6F%<&Fpq9bcI~DR@A9ezBsMetup-77H-_DDCZR?CkA_w{0zb^0~aZnY7?<-fb;L zQRa?r=dnVk!1?Q^!@K^dr0Ez4K2#%#JW~8&7S(5UtK1kN>4*$d<8>+paOr@VPd5t` zK-Zu2w&#ef&e7k`cn8NHB2CwFaT{@8ImAr^S-^~lnHmB6C;|vrC5TE(l$-Fx>Kc1%nRx88Gaj&+0N7BWVLrx4L2X^3&c z?kGvgV&s}a8iw))Lb?|R7bF}a39WAf6tzgRt`a80o zO&-i5R#%cQG(>I~8_QsCCz|OFSl}VGgx)rW?+jUu1%PZ6*?)%eJ^L+QPiejVGoK{wVgvpX&#~Dg@N1~mWmv;Kq{1kJlvIL4hV#3T z1NZnFdyW=lemX=#goaA04lfgVH=lcDzf}ReNtLG4bIafn4FrXRg?ES7VaDf+H4IYy{yFqK{DB9;h@} zJfWYU!%vu8rwD*t65+_eHn&hcGVyBzMGvjCt}fG(i2}o>L21pvB1ysSzE&n~r+Ce; z-@f=Gf}CgP-5Q|j&`-@Rzg4&a`|+|SE|DZar{lr?;v<EQd5lj^E~(L?v-2x@DU{Ok znH?n;a6z+%{5eX*-JOwvfKobksXWQBpYiL7cuR}Z1M&wB)LDv>^VDE(qKGC39Z?7| z5Q*I&-T-Go+K%Y=x1x7Bjz>3*V5vcP9nS5td_yR#@VGH%{_^NFG|c3M*h+J6^M)(+ zjrUBdrU2MK54hCPF=3i$K}Hq_#~Sh$AH>Fz3l_pxdKXYxjmf(`(F9#`8wvs*ieVMj zOX!Kn8eHJ<@TZe|dh(e;%Y@Q8`s)|Y$rMPWFAokG?%9I@ZrctHHEnHJEBUDW_zxX| zxkdB$TR&^&-#}sK++?sj2-hui!bE}vZo8jX*DV=tUA8OkH80-e-X+6&;`U$5Jd!IX z_1AwPz3Z!;(6j>_fvzw$RWU=yt+F3qP`uuM5uFyOgiuABu4B)tTfHkd;atb z{z{usJi?%SGeniAIU;a;Hsfn>COGEbDs^ z^0x=8jA720b-!qI(L^Y&{?D*ex3N&y=v-E(O@u1)wHs~AZZ6uLaVcsi$21_jfD<=# zYaR8$o#AzEGBx8)5VCMpqw|Lskm%;8Sx>_qH(bmLEG;JPjHZF}FqsC1*h!jQxWAtZ1n95qo9 zk=D^UlTs(RvDaFDTjC;y1)*)sTV36!fhO0ust^M7lwa8IIE#wC+tkf`tTh#Wj8dSM zh)KjO$-pH=HiyJr^1cmaH+bpe*c=T4sQt?qh)0m88;g(*dZ_cEYQ@edBZyXXo&I7O zn2w&FnAghPr%&IbLqxEeVZqhRXHO9d2_tj_=Ly)vz7Ef#Gr8CB8IjAthi!@=H$rHA zHR}|mEK5bWP~7QkN!Q2{cv*Kn(couxDCIy0PKKS`!9HES8KaurIqnQDZf32l&knxY z>t6+1)v&{I-rWnkRqzkuHSw)FQ`e3z=0DO*B|&@0b6>4e3uMlBJIS#M2%EGr+pUTd z?y6SSr?-uZSc^p|3_2ahiZfeL^{2YY%1Y@vh^Y_Km`r2BVq1t$(7#t!_CX3cBFz?z z?nXDOu*WtfgZ*FH{7bXtb*z~@oxa{futwXJp<7h+hG(Dr7(M(^3#8W80^17j>Ja3_nkp3LP6={BJA-g`)!FJ)6;R4 ztel+deTxGFxvw@Bujd8@2ZIc}kfXney|};sm+yh-oLiIM>Ja*+{YW8Q2O}Tlf;cjT zhi7H9E{sfzrMHn$cnB3_cc@hsUozL(Yt(i0GuGq~zpF#>Q)#8v~nrk;)D>9qEhYtXk{V z6liBqEwOV#0+!C^Z$*-?F2Ry|T2*xgf*NEvr8mYLJf*7qU9ie!tvkP@TPjM;8HFy{ zXM;RrKp7=M2kL{wqsSMtS>A%KU)HktUj6WGzwZOp3b!tBV}+M77xLGJXb9Mh(YXf@ z{?)4ok>t{7IhcsGM#?;t6HkyW_2NaD%N!qj1i3XuU2Y!-!wNy~=p3*JfZNKcB*M=* z_nnOX$~+#GT$#1z#XWba1C&ysdH}j*%!O=2o5F7oAL=K!gx3!v#m3j3x{w5%Dnl3F z1Z|)a2P>k8Q0gdLVrs{k30vpy{isP;ZrBOIm0fXyMuyze=%2H09X8?+DYRKPm~w7s zk9d|*S~nWjDw;34=Q^jIjS>EOxA#KLY3whx4mKnelDguW^4yD-gdwnC0N zQfhvhc;V<;VDA%Xp_WkyMt$`Ouuy*e>YDokEhu75*@6R3`tMIqgGCQh=<535O0!i# zqqSIqCM)e$vFqt=V^hRm7!FYG5sw?C26ohgs44ICf{sfDZ6X;4I?_~DXCr&_*TmK2 zN#geH>Fwh{!gKkBA(Go4(u9TK(1lY(sS)z!2Cr;heQ${#1rjo#=UBKjfWwK&4uagO zf&#L87R}Or)w@WCgWfvWTuNLVtcIk7L_c!SzLz)xJM^xuE_?P+W4Zm0B^#X;E=fECLzP4_z1K7HYCv3Q|c3WEr+c!UmC}#{>TR7JkkZ4+sXH zY6$xFpZfJ6E{?pg8=RC4Xi73Y0M$8Y14tGtO{)RTKj`o~8A1nBjPFMX?XZ>fs>|zb zas~Cr0V-40&n*pG7kncsTLAT@4#2#H2N|hw_KU2;TsOz$wJxq9<_khTi8pRC0&p8{qt?lBX5ZdIVxeJ?`2JI=_8{q78*6bG z2eV7ua8jV<zTu=G+jq#N+RqxeN|$&y9M@L}U?gi&fc>yf8t zpCb$dfzSPU=34@4tZi)sHtHha{6f>Wch|bS+ecs49d|2+yN<|K=7cY->|mW&aS-Tk z7p}Pf_;Hv530Eva8HX({Q^>FdDIMVBlM8R;%1@E`Y!2ELbWo(Q@{bS_kZu`nrch+8 zS12H-g#pr628QX%%b>A$#3AUr)w&RIVn`A+#Y(*q})P%q$eN=x(C%G^%yM^BiezrFPqzDhXhF{C#0miLjz1Pr5OV;W~` z4-ge3oZgt6+>sg6G_Y4Uot8y(Z`j`aXPuuDfUm<+Z6_t<}iuu8~4B z!REf|g0Z?U;&!F!eU}NZpPSTS>sR+iDRW3!Gh(0V&QM&|N_?>JBJ5?}O=0vT(pMo} z0RM}ftX*{5ey3{-pNoTQ5ll1g1FY$Ea&iJ&=L2&vsJ|{#kDS!hq2|OtApU{0Dju}B zrry{+J52S6(pSFh+$*;`O7FO@ljTiyX#B?Hm2Q3+apZ>A2@MD@xLRW!8iOX&hx*r7YVRJ$ehEniH zfdAp#Cf7Xl#u!vEIqNr!pl#fPXd*qm2gpas$>olZ+0R5SnA@40) z==TPD>FG^Df#NMs@j2_kN3f80?%a8m%1pCWqC6*j?0Lwzvor_YmU-b;H)eKr*xNAp zbbR{);Vw0=wW81iHC|{xeHk&N+CY)h4z5#>F6Iz3BG<@9m6IkWkkeun2$dg2gB|6| zQ@csWkTs7)OLw3fTgK~g?EYJUxhBUQS-*Pb^ULdRfPi5s9EB6*c}eIf9zXszEF!W& z@d3~{R5X$G@JZv+!Dl--c-$87fh1dm8`Zu$EeKRgX(1ogk0<)<7y=rZXO>CdwrF)s zFK&_O#CQ%4A+Cvqlk*58amG!CJpwbi@0%^5$|%V3dM~=h*)*SZ+Ccq-^@VDru|gwI z2k`Egg5It0y8W8#P&;19uV2r=NkD|pC4M(}g_`XH3?uTL9pSdD9)F*zr;JoUiHuMl zYcXj^1V&r~)OL$KgkVBp|8}Nta>)$NyH?l9yGSyzu#-#s+U;fJn1HKBe&9FE6HD;t zscUJO=34|Q^Yj#6J7;P66L$oKVk^2&gd6Z_Jt5Z40Jlf16?moLx9>Ojv+Zs1KDD1^ z_tZN*Z6mMW2Cszld2%Knh-|EZCzr?@z2xM2{9!bOH~PxvalAe@G`N8o!c}FUuMg*N z2SD9w)JtR=fFKA6rZX-3c?knL@Lw=-$nEw)9P1mqK6Y;IP3)vembvZp^`#*$3(!v+459RlnW;_oa+47D;7(h+`L)JiG#jh*3oy>@W%C{+6G1Of6^X^0X3zA*& zDnvl;mEPzCz_y$s`93l2das+^Y0djuJ42(m_l8J3)gw(YcH}4er8zNIm5S{@XBY zWUJqLo_g)!f6HN0d_f@AY~7NJx=Fb~Uov?>_fV*sg~*tfkgDvv9oTz%S;V3GgU>?c z>djJeD6P?vc;z2+0d9VN(BUE}xY9JFmgTKQ!Ep}Iz)K?4%keK8Kg$Sgg7v~+Vf(P&7=Ai*tJ`mP1TmY%Ix zi-(9782yk!iY${&ct8N}l069eIU1)=2duRMNyU;$POM_E`8W2enfCsEH+K7Y#SDmD zhCwab0YwE_g)BX3^vjD~mkN$Qxz+E5B}&gyQYidWPyiJe^#Bofbo{GMeLHPO z@p>$TlxOZ`5uNzzlmzAi(EWDb3b8|kGOq*E!5eHF`td##Rz&m)P)|HTLXp z2hTh%^jr?ht@?%rR{|Xp&BGJkUa6ZO6#~*~Z?lOw*_`Ct0<=vGDZ}bj89tmLMJgFyl zkj2aMu0|xF2HQ6VkK&0>Z~T|?0r@R-%bw6l;JhIvsF{y79E;*$#FgTJz#NwzkQ7Ll zAP0ls>uri(S*f1DfoL@mx_~zY=o^vUQ)C1OTa6i!iD<270}vKBR;V%_`yBm?n!i#~ zKmt+8@WeGiBjj8CBDR8Ir4;J}r-qlKE2n+HOFX_yW<+mcJPukkrQiN|!dvzx- zuYM1PV9Edy5!FglJi7p35GK|EvLpsm(lDZCG;5Um4 zuOE4XeRI2aLu~D*fCalVZWVoY*rm8h&+Q@|*F=Lq)Fl&m8L}c$EH1?9&{ilj8Uc zUm7{qtfNnqHb_H53;Ywsmm~1&CCS`=Z7kFRoiu24NO255{X*CU&<#iv2~_x6{OT-# zJ^$UzU+njDjJ>cjGr6c`|G160`EJ<(L%V4DDG8}ZzkGKwy$&@b(Of$ny`E2yBjz94 z>rP`!Y@(v3I{lDvdGD5Id$!xs3B5kj^w2i@uIjP$@ydRPRPM=UcLz%uk`&xF+11kz zEmlo?^v^vRm5J2KJREnp$M)BBn!$ok?k9Y@CO4bKb1N6v3suMl6O1475R8C61IxMs zp*Nx`k=yX+@%2|dXfcyF{$-;2uUBs_ZgTmo$&(2C`t~abdi`kdfZ9tx2`02$kj&2y)b63d-A0*3H6J5UIW86s~*OB^;EV9F5 z7&B+LB=*I5j2}|=Q z;ixdva>}?lwEd`iHmrPVt73Fkp=x@@HR)K5po8yJ(P@juHeG4m`$Y6g81@fJaX>uN zQ{`2znr`^U))49h$kuTjk&uTAvCRz1`A|!yI*|ZVL~Q2hUzg&LbN`7|wAQw^fzQm) zq!xFvYGmw8ZW(dVyJd-uZ#oYKM)%Gw!=FHOYSluQU~cs(QIa9?f%0p?)5kQ$wJ6q8 zbp#)NyaGGb$}4`{iLBvA>4sfBK)cB$XIhs%5*A^;ax|f7e0v~nO?-C9oKaJKwhiZ$!{=MAR6aFy^nrL%hY^fR9x8}2bk|D?V>hSvvxeh1fED)bP!TuVM&$=AFf}Jv+OBc5P*3s7HSjTc9uyzQOrKFhHOVdgtM)Hh;bLKUl zeF@PO(Y!Z$7hd7dKG?s<-Cgyuk7J(9Etp2^dtQ%#vqhR&HG~9P{NBz>uKBRWEMt2b zdeuR6C&>15=`y(m6!M~7=?MAI{A)Xf_~1I!1#;{(b_Wi^KVers`35Qh#4FiD%qh9? z_ZfoXpp@FBgXQ4gT>gATs7m&$vKQEtfo*GmQn$%3DWZ+%4?7hSLe3b@Y;P1nY9hz% z@?-YBEHX642Vn41KTkfq0w^&o+PbLcW5$<;24YwmEO%_GDkpA5Nvqe=0%SI57$7kj}Ph^#G3D&$N|Ab zYo6;x-`ek5a@3#E)P$k~3qR;iLMP`>Dz(*Tt~2t;;V0U}ejIUbW9AH34G9UJTdwG_ z{c7VR$Vwd5-#syZ3nRC`IX&8ndeGG@#3**@>80e1Yw| zt=1-lV-!f;?d<_+V;>^+UUDBlKv2X6Z+Jbgzx-+`y4hXJn>aNd7+CpQOs4)o&m;n9xwN^`rE>QB+RF7C zIp_3W8Pnu(-5ZA7sl(eS!Cr(-GqW9Ena|EoEhA2d<_DV0ZSvP=va=Z%T>=`0FqTVR zzq1Z*qox)r8%ygk>AUsau^!!Pi_|b3T(j7qL%yw$@{jPO;JtR;ARsSP{bh;fC11ZF zAzvBfzxy-4@i(p-EBn^J7FV6WEMel)=W;3}c&g-&kha(Qeg=8LuphXv_XIDmPx~Zm zWny(J$dHz4?!BCe;@9=hoS}bv0S?8Y(q;SBkkycI%gmS<%zB`lTwPqS@9Q1iBP=5{ z9*Ml;8J4E$>K4Vj=UbX~$}zCy{=A*+XQ1^TokJ=d>5iWtWrTj0L`LlBGB&!!YIJ^; zP|4AUnQZCFNYk;NiLXa4ei{FVlti{7cK`gx=r$r$GjDpxu!W&5hxw&x1cX`|znR+P ziEdWg&!{_YfPgAzJU^#qFo- z^e>jXH8QR6UU`Xbj$(8~jGSc&s;7PyRF#w>R_|u#U_RP4G=q6$ z%kVJh9cEgbD!2kn?N6NwX|%>p0$i}xVoAQ=U+B>(n4-7Q;pZ5eMyH?^vc;$xbN|Jx z_ZG7$d}{55`q@CH1e-+Zw)|v&{OpRlZnmCH#KRFcQ%1S8Q=>l}sS0*3KRL$6qSE%q z1#}+za7_E>=`wW$(YFkv-}8o>33E-BZWcB`k&U_@75%~rYY%x3aYYUwuM$k~eg{uf z$g4@We}UgUpiUc7E5B63kix~M{sp9P&O`Z&UEj2ihOlvRVnbBsxjT4!Nc&EgtaOl? zm|K2Tx$q6h_M>KG1f}zbHCm?e|HkZthtQ_Te>z&Q3Bvn_S9I3V6Uww`C(D^cUCC_1 zuXt7RBMkQ=`uyXtu`L~xpLMS!-I|F>ULzQvJWb97x|naFa^uF4U~{^3r{hnIa-Nli z3`%Y6thbmkq5Azc?s(6o&scr@M6l_+p9w)x>$cV%kusFal>8!1D_bAW>_( zKLvX*K@lAA<7YKf+wbz@3v3z1PJ$02bbLn@8Ql}79=HTm)27mg)Ji9Q9&y5D>Xh~L ztF@&HfI4jI(KSadcC84$N7UaoYcWP5^x?5LKgUbE2!xSl-HbDIG5o*yux-$f!m{zT ze;O`eq?AD|gI=93q!uQ}W#d=*`DbB2`{!=&<&~wY#S8yer~XA`I7K(|s-Lwfl1^?K zr>BN6>H!NMrC422J9VaIw&IA=iS6pkCmXEBVtH*lUg%eXH z!w-CL4&>LzwYMrhvaO%H-J%FJglhV7|6cBDzT`up(g+ngt#>JmSFcp^wRx-6dkO-MSCob=aOB3Bxj^I{#Dxk6P-KYmYN zdz?02{iA|^W(_`Yuag1SzJx4`9$X!8Cg=WI-?(1T+41&LqEMGS!UZpV_r)$PM(w8$ zg$$pz*%&^|xV9pk#QbsOHNOUK_9(R!wr9H8fN++UN*ZnPX)tP~C~f%|(x&#_QWUck zvfFC|0?;^;#WTlRWNr?Hv6vKCDW=B?HZ6O~F@+z9RuAdx@922cXvq^rRF8(^kepqm zdvZoCvt2cPr^?xwwg!<;M@h`}O|fAw`DYC@2bZObAqsDSZ~&7(dkYs~+lvfphHGXnmCQ$j=3bovvfT0gKjSl_gIv8t@2wTNH;R&iy>bNWjLFGO*5|Z}OpTU+BCu##{oVB9O^*7x z3jWYK-D^A?(yg*lrAG*}c*A;o(_>mwEzl z;>9!)*h2~GjD#BfZUKtO_gC7k9&Hvi)3u{^HtCpp zG_T^5?@EEgQtC`n_t0(k_xIoYe7qijkzTEi-opcD8M`%9(si#E7y|i;)sU&*DTSCB zQ-Qd%1WE(JM6GQBiYjNnosfQOx~Db|OF~czs)0M4ij>08scU6u7|r(hmw~GkG9lQ2U3l9|tUXmvP%BUgJSNJ{2cLZ7k57-CisYzq^aKJ2ILH6D2|Plj z#-@=W&z_@jEv_o!KIjCNfGkAyXtvlFRjD=O4!&c%InF33Lih%1kXZ$1r+(O+jgOJ; zVVFv=IT{4hT-0f+@B@jByfNzc-9GV7`sdv3v&_fu;SES>jFcTD`5BT$DYX|>1-1xfF3Vzipt;}I5I}~yD z#Lu>(ihdz!&*5q?6CutX;@E+JT}8&UHr%JS*KX7~dRkjbCAak2*nm=HVF(ml-8-=K z;oqKP&=SskIW2qyq6x^G*@E%xL_dQ7J&hmPl!FQQPvIHSJr<2u3i!itO?pa%r#}Z| zLrs-N(hE{!3%+J+%fZP>zcqlMsBmWcTW1n|QXUmNpryuN$DO%%Hd-3qQ|1X$Qq1{^ z1)a;DRkjjMB6r)N4(+2mQ>+zFwNor!^P4TKJ?_EgKk~av2JA)S;ZuQEB)5J1EHlIs zkWE{X9nbv9%>qO!9#j4>cJijtXI*Q<1}nyX~*^w6bp-s6CzaUR1U||mKgXI z(W*ydI5rhw!&YX&CbVi!faK1T81EBObBb63j}LCy?yn=rx-0a3cQ;#b+CbUAFXWX* zpnxHqnZc47*!w14**&~+l$eauO}F*AoL!45%)(K$aufoO3uoinvzI*v4W4jWqT~`ULqk95qF@H zv8|ySv7Bexp@R97v*<1p&Cka~^F|l9B#X{)MdJz z>ELTY=q5|CV}9imR+)YuojZSt_WkvH85(i}+E}*cCbNV085Sq4jcfb72-D|)!5A7! zVdn6e%SbtlJM8N*C$ovPcrH%%Xv;l{_W|u0!|$?fb#=%G3!{_Ve`o!5Je7K5y5fX` zwHXA($anr%&?0x@#<#+jdvkDnCd&@ixKgYTR;{vSf^9+C(X|~GnJ=QOzbB_<$*lS zd_DcbkJ?lg#o@a&e7=9*!-LWKS-#y;D{$!vsx9J9L~(j)$xVYE@y}h9hkleypS zR$TVlGXS~7*PC$KJ1Ex30r7EvMx{_F5)$~2Y?|vtP~!V4giK_$J%D4MhwfO&YNnYO zvXMxjpH)l7=^Ch=4us@b4ierN-(a*A#Z#*+92^Ogf@V@j=jj!K!dGI#_rZi(*7-)C z(-s%r6?x&$?DU`Rv(qI28G8-|_U((`;|jT0&&(I~7VQb7>gHP&6~7TbM4~Em0uEFn z;?@;p0NL(c`ET|tf}cNrR2T~mbgFY#Ibo8v$NV+0ETpAhly3Ot(e7q+b6LQS*2gzt zE&6*y^S0JW`E?TF;-55LnvdqVLz{^pI@Fxs?Sh;NQDBP}En>tdrJ1Z=jL5nyvjSgg zII6LB{5a$ZHY_!tk2AOy z7L2m2t^j@AGZ}e*1cEOnf51EdZmTVIit03TT<^^PmW~n@6@hfW`T3wWZG7uL^{A>0JOh0)V z3n13--Rpv~tE=Z#R>o{0Jeu?yQjjK;A)3iW`Jw-infpdqN`dxw{JgXWr7D)2UaU%R z^`j>0tzeRfjKx#h?z`b)De8D`B};9BK7`G|jcb)BAR{Bh5E-AW4PUfEFj?7kvHyy? zp>@B=daM-9<8R(3mE6Dow{g?W8!(#zyLNcytbuN8(}qDA_N{VTL6kc>X)+J1* z???-zH&}C!$Q`Ny6D47n}oDwk)V9EH5$s~lN?;{+RVRALORi@s$Mz$ z_IvL~8V8Q8T#0*U7t2CLRBpdDnaQ{R{MyCV)#YkMCPnAgf+1@g@CS7Qgf28a6=-;I zF;+svHl`bZ$2bTv{}74%RG2^5SC2&&Tp&oXN%%d@T_NaKIh>IlW%3+7nLP@GI=t~0 zZWEt}b=&XN_vQa-2+`b;#vti|4gWsfdVs(4ChcN0+;7ho=4YFc13<(g_GM88e_s1T zM1!qV$#Aqmp)8b3_CW*jlA}`q(qNTE%PgS|z=H6mHHPfax_@b-!I88^ShQ7Ce%a6e zwg*(E!O(MV2a|NZ=YLPO0&40eUT$0dW-Wu1Xm$brJ?3Yk=;LhbNA$t?#>o zeEY_IXFvTubuRgLy~G?8cVP2u65wc30plQZ^k}$%z`X9Y@BKUL@mOjF;OYe!kY<9W zZ79C*5-@S5gZk!l5D(w7UENEj~}1F4+UV@{U`11szpe6!*HD- zw<@hRw$W{Y*1kM5K?a5R5As44@#9lF<=5Tse3QF1xe4c{@-m1Y{tZ=R#uvxg5KR!BVEe^nhX0piv6pRsoj4Ve?V zCctBf`Y#36YU=)p_lOsLbJd7ObN&2;lBA!%MM-DRy;J2=8p=HoR^F?y(t(g?`wQvV zxvAeJAtU2~g@@Ot0;KBFV|^bUg$U}1_rosMkwn@M!u&fu?k!opxv=p0f=1ES20X8W zN9?ClxcyUlHs9H_a|4d2Pj71~1E{_%GVAtjlVYnTHd=BDEsGGP$jQ0jn1oCRMBm}U2c0o7li!lq?4s~^tj_byyFOow%xfdtJ|Yzcj^1Z6mG$2* z7gPrR>=yq!-7LB!do?|x!}=)vm+B^E6y%cCO!AJ`M0q<;wPdo*7r_PBzX%hHUKt89 zVqKZ!oP!G7{0{MAwPX;^Syn|X;^p%@yMmwK@bXfd(1vS7Ihn{X6TNKn6lSy@3ChXW z?{KcK(CZCikVF*@QZ7IJ^Zg?hbVRl2o0IQ3@7KV>+kptSyEYBZQP3=9w0!y5Xi@ma zt;yx?;xN9=z7P`-!pM6!%%hB2*?k~76w zRcpg;aOilBF&~xq^lI!#ZPpz?=UIFdW>X*KRAkC4Qd}qtsn!q%as432l57O;V#BUs z8j&_cw%f=gI=3Y~b@G5x%|aH)AW6?Afkk$tJabn@X!o@K?&*L3F#m2}w+{)(Po0+K znLky0=p~x;7u;K2nSM9}*H%>7N#0dAG#+Tc7IdaP*hX!VCPX>vfs>TcjG{!8BN+&l zOv!;~Y8OhzBGD7+aq!u)$SJwl=s)>u^^Z?FqsAQ1(wUc{%N-J&rXOsqeF z+%e|u2;0gO(IF|D6409Xy)1^8OXb#FI)yAsu}5jZ7H_%t!~ zbLw&DaPcwgFD*A?BncYt!381h7fc^7P~U#~T_>P$*{DzJW3=IFx4LBww<^BMKuU_X zQrw!8{C<`%UdVs?)M@zTaY#GP2#V+E3g zH|{Ev*@~Aq`5e02T^{2nt{7-ZCNuk9$8hKo{d^+FsF57RRU%bIziJ&_3M(mxes1t? z*R5{1t>Ra;TTq1sm)wJAZmDX;E4>gha&-5B%J(CG0<{$)cV$@}e~kPsxH(pDIV4Z0 z1Bj}vt;}ij1ns~iX)yTyU2#gfMJLwZkuU1-=-RVE{OT(*G>CO^o^G~Rp8>U&6O|QCAIoI zX{mnJ`{7z&>Y=;0Z@+X=4tL?evQ*U3f417kUj-)1f~;pwCL7`|>|F4@y~f^{C#o#h zh`z8h6Hdxvg;#iNmm z_h&&FpEJ{JI)<6sGK-qvI$AyYMEzr+^GmV2!u%3c>f^ab!>3N49&AqC)O5@~q#9{9 z#g_)BHl+uC+N3jeshfw6l*#kb4`F(@p89ohFB+QCOzQX6+K~RVc&RPfX>i995L6&q zrq1v#x~0bLl1ZH%9T3cK+_>>j$ZWvP5F;`(x*w8}j(6{%#Ia5|199WI)y)$#0?W01 z$9fr)&%ude;2*~7av&w;p6yWp{T8yme)y%IE^RvdXX57HU%$Zauh9{!irHddQh{_t z1Z+z_l_Dsk-!jVSz=1V4T0K&p^oA`dEGF_DAJ^9Dx=BouM5~7Kzw8EO%m(r+HJ0hB zas40x@KW2$MkTRE^e!c$-ZBi{VU8Fr*x9)90~4Kg=%86rR`lE&=_u)60ge_K_sg-9sLg&C5xnv1HNU!@v8AU3REtS5FEtSr>K!H=n6^?`>Yt@zCoBz*wE>?{~L6`YP=ZOocy1XRcodVKA$h zT~l+@7*wEhr$@lWOb7%Q=Cki@@G8Nsp3c9i)1y3bBTRMpckm;;fT@y0yvNO%@+VS9 z8*OO8^-I-j{CS?}2uElk(z-#4IxXM+s}(H^r|=7*^25;EepUStbQrCpRMao`U08i~ zEL=i9Nj-+vhz%3l|8M)b0echcyN&*`)Rg=mJ{>GvH8~=m(QV8iGZk+?ADo~>)b{gk zc1ziE@m;b13k^D|wuZ?X4}5G&=L_gXjj9TaA>k{y;~4Ri`!%eu;L&uu%Tsya?QIVn z%a9}hq!X?wg#F?W^4G$ImhdG7VZBgz&>MzSX(|`{I&>bGViFYW7Mp#!NjNksrtXge zoHuvQ59I0CA@n(NYP}r6OeWEgeM@bdgqFVn`6&ppMhiOziDt<0uq8jOtwpehN2zsT zkyBtGg*%Q>?%QXQVBgoVJ5jlKRwOUNh~*r=#s(-dA!4AcOQyJ3Q4@JBhHRWGln7u< zyE$zKcl4Orw^+&6Iso~2V_nRVI+YTlZsM~B`45%}iyX88 z4uSfy*&UvnKTm*zWgnDXFAjG z^&EVT(Z>E`4?Q;)e5voate>@enFM4zRz<2Jm-yQ1-Bpx{yV`kqOB$%4)MaN!JcA=+ zU3yY}sV(AQm^=U$u@z)2)&zy+#ClyWzitSJ&L$U|DfyCX{BHDLaLUXuQv!Js*BDDH zpf7Hja8N^-0L_qpZ0*ZwFPhQ)8t#m3 zt};T@DrCaHAQ_ZrzC~%*iYN|@27Yy=GGMPhR;^*gg0>i3BF20^@RQd@3(V{guDa0m zXZ|@7U%4l^{^l-IpE`GL7g+OLIwIY{I9>)@iFlL#pgHI=0Am6kR}W3tAh$>ArjBo~ z?yget{Wo~g|+&hRpK@{DK^zD@e1;T%D#qA%_)^yxa&-%GiHWPicg-P}s z;|fmvsuRU{7U5{B7rA*qgOuQU&IIcmcO2iLl1|1LufYORi4Wd?g&*JLL5-*qul`n8 zgvyE8ka=nQ^Ec$Rl}a%bKD{hzdE^QnrMwsK(er`^%i=a9wGp!4>C^v^UbcYAvN=@RNa{$E_<^Vf9tLV;HeXx+e&c^H)vSC}a!H(xlo zgF={m_RQgM47VR%94Hsk%=64tmaf@u$gWw0?O#JFQ?kKj38lhJc%M-Q9gGlWb;&5U z{7S(Enxq?}xIUi`C>sRe1R*kUbU^WGdeM=>ARm87HD+bJl512xATL`6s1vkM^n^C| zxO_xEC0c-$&Y>S7?OeHX-1>@J64;6d6=Wu3^aLn|!HJAud)atso|z(?8q4Rd)OysI z&>D&Ln9GG2F3fYTqQr#(T5BiW_dSULz*lolz_a`mB!FX2{iu^So`&TPRlNQ3m`s_VGZ>~xo`>x36TSWjG94S*Za_r4eG<`eYN&F zw+e338kcW-6C&??Y~rVj;ho0OZJKNKR_Lk9d~8=?wu{mqkMvZBfPC8|=XHsL_Jh#Y z`Q_&n(#uS&>cLl!wmiO}?v@h@hqAn@rA*J1a}DEw;y8s zjEU7tE(A&={RB#MSR%c=4n90KfUu3%+~HuF;WH;C@>4H0xmcnSF*PYkH~N4MoxnEA z0ZiTORc2x{y+}PIR7~*0ex1a)b-(Z6pYR@mjP6+ zeVIdV@#DT&vkD3j-GIeR7BgWLz$^Y;tY}x^u$oN1XZbER39FbS!3Y-Pt|o(oDcfaL z=GL`V;2(q|>ro*C&G?s4c|(mTw#sHhkq1>bh+B32cbA%fRp39Vbj^T@TdAb;WWdP~ zVdb-00!$PDore51UH&F?N&#Cpi(Uq+n#C)myHpZbdn94;W4>PXrEm!sD)C}fi z%m*cpz7@vJgL9LBcI~})CHgcWB|t(LN^|GF?$*(o(gm&yow>HQ_G37ZJSo$6Waprw z=84i_L^EFItXSidW>w&3l=?^0tjNjc5557d%-$1~`>cM=jrfG%k=wz!GrNCK`{wNB zV|B%@Hr@z@${1QyjZQH0T%&^Lp22T{W?3pfvMqMgJd{Fi3~gRP5JW!j^+q=-k%lNE zHrbHXx?9*fnbye1QYJbpCzF}Ema^PO-?iJR4oG^C?*08HDtrBn2R0frl*$|Nt3o%dpp2jly zv0&NcY!CddRhO9zl16kr;b3ta-z^3kw$T-Wa62Nu6uOX!ur4nI6=I?+=}eScm9c|A zj&v`=m3hrId9~ocWN6VQLlM697sJLLldkIDO}-N4NMbU`7gh@zCXn>bNkf)Qh*&!j zyNeY@QzF(Y-oku`7zrAITAv}q&me_KLL>6oWs}5y$kQkhx%taeC6MZga|Q^@yz-UV zo=Cc3f&aJ9#*1GKAKbBg(`&PW^Ntki@4CJ*kVkwQ5#of*zSHue>kZkiUHcDp1!L7m zQV0$PUya~)V|66woIyw;Vhi(v?tLiJGm*2!VhW zR9vBDBBN^vmmDwn(eK68?mLe4F=v0R_c^mYOp;eDaaH}}+wShA$?eF)jf{-!BR`#( z!5;sUt24(7*R?8&?|)#Vc3`^$EUmaggl{iznK;sUd$wkFX|**Yjk5A;b+7mGWYSlp&V=Zg*xlB{J-|h&-SSDbgr?qsjkEG z(@1?<7=Bui0sRZKpwR69&TCsV^YjvQZ&BLzX*kQz4#?SS_Kor9q_vk!DG}FS3ZuGpm$X49hk%H-Qr)*Bv^<&k9^noJbN2|YvL`6#iKB&29B)c&M#h`vfn z%qb{c63U(h@oHqIrOM_zw`fgl`3dbsYpQ5Xt19?c?j$qG^|JCs8SW3wKw&NnPv_+S z=(@Y*U@8ClvAMZ9(5XV<45V#=LBnSBznCWCMrU*-2`+d#?n^W4Xjo9SJgb&;RWEw` z0@jBBg}6rYRec<=vhn z>)L_yhq=;3z#U|)d|oO)sUh+H@i9$9vJ%;nX4o5~AuV~4)8T3Cb~lWkv0x)4U75S? zToH@FSl|1=dB%*Xxy<4xv7TbQF)UZAp>|y8scB_?4d@n$nQ0MmnCg?+Fep?29Xm7uZLINZbP0a9+4ygIkLguE( zOl(~9GcEI8M~}|-OUwu2+Po3^xG~DC!}pqN5Yz?1!PGiS>ExNw`8l7Yz+@x0*+&7T z*2MG*KqjD@js$2;j$^mr(JQO=AIvmUV$-(ID3BT*{!a@qR$pMTSS!mWVPvQaM`h)s zM~dX%5GT#fF4rEb0oS2O#H9eUt3aH8f-Ag<+YtQ=j8+E(f*6BT>o8W{oGL|Lx_o)h ziT6h>JFaB*UE^s)5Tf}zzGqgUUa`Oe(_?v~i^#H&(Z>_f96C?bi=YBk3GeE^A3tNRh`sxkBTtCJ4f=#<498nrU*1Jx-BB@B- ze?(=>UWHl9ktT!<21WNPlH**({+0U?cdZio*WM@OM^yj%t91$MY0fI9=Gu{wIMpUR z4-ijeno7p3F0H2K=};n)Psp0{=Zo!^*grxQi_pZ!EV|iNukD_66QXmpF(ISGRlW(L zC=i%uo$q$>Nn;}o@w)$h-@|7?(c92qgK|1T7>U_-=)e+n3)b~Ol}BD(%4`}41Z?e$ zid_i<2(N~!6T-qa@B4C5U^;ggvY`RulMtyN9}OPdrmAWcAJrFh7MK~IHord{C}&Ximv zouJLFs&|2s$@=_vEwO?ZDv<5Xqxqdb*J=U$FB015;^e|pBc&)|$ z!HARaD&iz{S9Ce9nNI=w7g=AM(A4Jsdf-^C5xz9Tzfrg2polnC*vc6s@BM2JDD2+2 z5lxJW)TV)n*qvg=8z*mQrGb6QHZw%pqH;1;O06`t1M-s1Ic=WL<9{kGwHG|s8!2f} zYH`cLI)%gMzDn;>u18!O-ye?}dbk|lYsQ0vD*AiF46bFj4}qGtBC`_Ct=ZS+f59~< zeG`GoRb-K+{4L`=9stynqDzN;iOlB|Q#lp6P>_D}h1MBy%U!YO%-M)QW zJYVwdF12T6-*GbUxMU%J&7h&otJInh2JbR2)*qUXqV5k+>U-ax&|coG187dWg%=5f zIDpE^16ggTs$-FX$P?}Ewz>ae?^ReJrsKY+=x1S}y@Y`RvU+jE!-EZuG9s4OyhtwLNx0{&@jx5UtsokY6e!Dv?o}*jjS{Qq%awp@A4i zc(4y`FUQ~O_+Zew*jI&VG5STS2RuDT{sd>nHoE*eb@YO>s`%2!(Qr_?*yObfYcKzN zJy6@k%t9eiKumw~go-h;6zK*vt7`lv$E=}46$+;|g*B*0fCCWy7wue1QCZlkl4g|W z7j`G9`Jq>WBteg%cPRgjPR2M;8m1MUEm)xx#W@sn`ou|e)ZGQ`qJ^OhVh)I>8E=d9 z{WVraaU>hdY9=UQvSreX`J1f%O)n=dUn;C^Z}}_q-=0kC>oGFc>(-P(tEQo)9USOO zdU6qA?WwO89&jwM5MQ_M&-Co3n+qU-H9vm*%&z*+&RbM^bhmy#{MdLvV#)pgVQ^nd zr|x99t0ljL_a(G^L6zW!XJF04&c{mo0186663C_UMc=!)5 zC8g2v`}OtWS2167w7L6Z%$zioA%{l6_zi)D1$h8$N+pIIS1hIS?ctlLb?`+L zIt=vaqZ}H!x+zY=`Cpik)2nN=uI+~_4wdLQPTbm)Elm)K;cj1t__X5)l7?j-`$Xu# zHbq5WM7}Ryx*Q)DnHlsMrzmp&b-njdBtH>tzHeIbEOyHk(Yc{3xSxTNSZPAhpW@mj zJA_xM&(lZ|(=(O;pLV}=8h#r7j+$?PNr#zz%gZ{m|^;-2uaVY}Keq8$%vM6Z)L zQE6AwDRJN!T{cR(sZ6_N-e-@LTp4XKN78^pYvR* zle@w@2B579LF3? z6||pFo6;jLvu{}yA%c*f`Q1}DhhB*9acL>~sQAxB3ZyUr%H@U$Ta$@Y3G3+Lp&>CURWI5j`26jMUs5{lL)MQJn(QX?pWC;szic1dKp4JjG*_uoCC&O;jf0Y{Uj>YpP*U z)PWjOBv+UGtN8WzZ;yYwvFK%?l##&nlBha3_CQQdgNl!A7WQ=BcH%qVqaZr@-~Ev3 z`-r&MAHQwg>F=cwGTeW!M1*>3a9v>UIfS~It`Ei;f(n%7KA<{5VPjbV!e`v>uOeQB z2m|%%f3hkwGtG(DUAy*ND1KM+_4g^Hj*;|AtpT4`h|4iZ*9=^6gaK+`#G2AyclMyV zfD(a3OJ2X2RgsX_81zfX^u^+ zI4qj|5{L!?Y7qKLKDxino$TGEV@jK*Ecn#;;i><|?SYfNT4|!u#|;7GmO9MMpi+}( zBpQ@6WOHcJbnv?wjWw!?G-0Mv?@%T|_R`MytmP(dl;}0Yh3<{AiF@*~#W##|=zBP{ z%VBh3c(Mcyn>e=&j;)dp*A}=&vmpniuNGu{4k9z<FLXNN<)+5g>>3Z%Z*Sh9EHG_P z4zG?3-FSuRqEQ@GRnf1D9c)C|4h>E$GE<3Ims)dNFdE3wx!46aMCegg1s&aYD_d@; z?>qgWb(GRC!1N;?uk1E%Zr;?%G9_QtlO7#?+b6MRnxD&OlVD!(dU`Zu?8^aO$A#6( z)fxMd`8fzxT**)Fj>-VPgx^!aY&w5~1aV=XepA^E<2+Q{{Jwj0mgrr|p@ZH%tk|m3 z?Dqiz!N1?T1iIehw?;a?)f~LB-tZM@r|`_y`*TC@DG?)qqg6Oa!JB$|9zKjP+ku1w zBthr_D+5lQd3f;bK>YrU@VU1#ksO{iJ96DALiTISnTlsWI4&V86?#7c?5G9Px82DP zP>XIbg!3lvPzgZs$V8Nn;NGmBe7Z$N+!);}`dKJoe)#FRoF6p=02b)a-^e$An}||$ zEPmdPhH_!KKqAippQ`eloPl@tGaQI4t`DqYkS6=LQM`7KJ+PJs9<{nPF?h#3R0#iO zojG*az$gAz&sX(~Cemcm8hJ@rFi){*NG`|5hwiQ@j`Xz#o({d!QzlA$?b4^;y{QDgmgU9lvak#u#*vEWS|K{pjJr zikuu*NFU~Z?VEQ|PUam1J+nVf0+x~Rp-qRm_wANm5gNWj{%2Z7oy;W>ZW-Co%3gx& z7jKIMP;Bpo;zvR=FSDdxyX@QKL zE0}COhKS(}cpgIQRxc5X9t7Q^m9|iC1%t#85f0OJNgfQMa^+z7E`~H0xq!Vvk=;N3 z1OhHwI_afwSef#wfNZ+d?}q7-*BDg$d;!Q_)|X)mzRf-;drc4}=}_{>iz0;$WyR}a z%*o7SRKhW53Ibx7EQ~Ue>h~cPbx{^p{){suC9!Ysxj)(}eWldP&Ri`j3QLed&miGr z4h=g--9HkMNq_ECn%(Y^-fv2twm-2jT8=v!2m;zvr}rY?ixqk-Q>K*?F-lU1p%MMV zDfGNS*{y~$>87s*UqVgtj(2p-E}d(;nJ9Jf)7+CM^MPZvV4WokZykL26LP8@OcwO{ zbKRq7PxjUY; ziQ>G}Jo&KrneCZb$nRi)A_*2)yfscegy{UV_S{-E2+Mf6g^&Kdz)A%vs-WmglpG>t z_byb9-&U!K5nDg4B`)OAqevydi0Jq>9mwkG(W+GMN5U^mNrH%HRPQ-e#3PqtQ6KID21QrO^D^gnqCVZ-XCv^71ya5UxAO&)| z@=Hpf0NJNK{-4d^G)zRF#wXkN=^$@>5Ne{`S#3yT`-8$Xp2sP&zIv+J2ZSa#Q~vlp z<>e(UfJtr2^orUZqvH>PHzWu9czdT4F8o{m3(`lp+S449px8?P_z|cBN#2fcaQ@Hz z>N8&b@!7lvBeVy3sg2?rDM4qaxtXBocW^uq;-!64!IB@LKth0w!v!?GLPrMw%$>Sp zw#CH#)O$LGC%Oq?`SgQ!7xTNuZIg+M3C*S&j4^GrVxTkIMXb+yUAr?(lIwyuB~4l^6VP)z9!4N3z}f=@{{GOI2x4)ddy zba;Z%LQ^z%;=;~#FLz{&{a1F&qy+Bdh2c`E&1Pg{vz@%DYi;~7&18emKc@-{l4yom z&d!nn1cm{Nd_$7Sg8a%m=0I^9ZRI6=ZH|m-Y$r+N0IWLlxq6|&)@ zZ{IvePCR%i$Otvix$?g+Sl^2Ueyd}5FQ zrn`B8m(}&`<=eiBU46Et;_Pnebs_!bop7OIEDg}=#`VuTGNCm<{A?BMSZFN=$eJzY z*1cp4FFpLplP5Sfmy8uNdOgwJ1ETBHP)-yFjFRB4+R?LrE45n?g8;$9Wrar-3P0>HhudqxC{nz1bSyCPrp@ z1rnRe0hF&)lWvHNh>S#b+p?FBAZWkl?vJA}ZcS9^8nyv#F67V0ZFdU){g9ZyvHiy( zF?HcshNNH}LDJD6HYZfW@7}+5Zeh#5sEX)E|6ad)lV>};{tdUIua31kYB52Yuy`kB zCsKV~Vov+~c=GrA@h2gV6A(U9&N-`Bixf$^WJ?tP=nN_ix+*_SXo zj0nV+SAD}AtgXnezU*#QDPFH)nmH`~EuXoi=isBh!HQ0AvGFfQ$8I(K|6!T80XdlSETl zs|kbPNEiwiU630p#WWL)K3(-uyZUB}X{DH%7O$#0FE7%OlG?GyoUAMm1Me3ts=}f{k-I#+rs8k6?sD5D%icaF}9Iz+FNjP`97rEq}+};<2%#)|?{lE`+n)8t3!5!X*9Fvjq&STWS7z{9VoSd3!5{p2{OgoO# zrIXW0uK{qowqH&b0e8F@O(3n^H%A`#h7AyR!5%b)v3LGg`@YB!C#|%PU_!u&$KD1W zFkDpq5#Hpx-?%yzU0!%;Vj|C6Y*1C1ha5W_GuxE7xOUXbK{Y%F#3LPLmkmE$c1(eo z1CAULcyHYgWB_YAJUDwFoN&`{t%c!OX|U z$0OVhXADwMR%=E(Q@)^RhX;5t_FGw&s~$OY3dt%c8Fm*XhRd1HK_$Tx6y;Y`xcqYG zO0M~rs^~J;+1#i+MIvP42gr+<-#8m9c@cp|Lj33OUs6NP9-^J@Mwr)ysx2ogA$bICKWt@x9O+p|3}3P8>(6hpuF( zFL4v0UeTi2)Y7;^wWxWqw9&4!pvHJjd7DgLG&KoSHY|9TeA|%{_IJOfDs^!|RNWmf zBw=@G*dzo+A31t-gW`+U0Jfw7`^r-%P{jR>_as9XhMZ+Ah;2j-BaMofh#L0@4@g`D z8P-SD97%@6ny)U(;D1qyvQf&o9s1$QyhXB_<_`rFt*&>sxqyN^wTc6sf-u}*zH$cRqvPYxgz4S!1`SX`YXV<}kktf+p(Rn4l z^@s{&V$cN7HNxZS(2=o+^dIO!C_}|s=a~egK=FcmcrWj@j5#4}63smmKY!jvn-4-y zmqqfzTQZI^3h%=Phb(+Js(6{@Jx^xQ5jBFHpWS-DqI~VGV%5$ddwYrCIGpgnqsiKS zaPzAJHjhb7P5JYqdr8d@Pft6p!wb+y_Bq;&=6+O;E)D}Zd-K#cnd%;UB}e`yWq<;R zRS)0ejqm;T?b}gqsojFwnIgoFl{F~{?CZs3jGI-#?$K+v`_=Pvrvn0Z7ZnvPS+XSZ z^)*)?4 zV|tkvc(mxC$A>EGYmeXP92Q!vXylqHwaESFmRl|hojo_o3r#BE4fGz`PVhri4YDtg zi8$o{E-`*p%u^^RI)_KTeKS*CO8U001g-*DFbvs}Gv~uNh|rO-$4y( z!m15hbb1v1Ydp=!LKfrSZ%`8)#lOM2Dy~%5Smw3QXNx|GSkEW1>1TzAwl^Ogzn)^Tq?*b!B324I@|jwg z!vjMm2qK!$!Bm~^;A<5y;-Z&3JTG*;kA3rr7r(V~J&GM)zId`N?^4Jl6ibkmj!gvv z0bHNI0YBd$o~)9GbD#*r+^vjQ|M|-o&y+Xs-aX`xB^S><6JSE! z`9g4+#hray8m3bv_#C(Aa589yc4=w7(Q-{ck@{D5_wGETJpUG+Hcu%;k1k5N-3}ji zrl=kJoDZciKRq1vA25a9M8{i1>{Cx9`s5Mo9W>u4Ug3@Y!A7K=IXO8SC$uIY!9q_DnZa~*`wo>M<3hUVMSezME<%QIDR~Xf;96LFmxaQXsjhk{tB*$<^Tgo;{aka}B~l84rcsU6N1QSC$*SD8WlPKB z_~(m)zOIWoiH!1$_xo)$%gf3{9vGgjmUx@<=ynTQQ9*Wxj{E~ZMWpSmR|E)fBBK9; z$tDOy@qhcyBxC{!wzRV1pYp=5#EF9TFEaCC_YbT#onS$dk!ASf)6+p)`I*=f9(N7G z5zkmd3EaNC+1Pscjd!ddp;;4Vz;Pr z&5WLd+y=w4(kD{8w?B_nu?^h%GbU@jlB$R^MfBvC^6Pe{qDRZhJM-6X+(;94qSX7z zFi0CN>ovlYY z@2lZu79&OcuiuZaY|~0%ciDGdYBAj7zrM242jd#Aw+|tdpF>CB5JaO^Mf9jM=Q4CQ zZHhNS%}A(A1mX~_Pw+TV3sYRCoxIt#byqNvS+jHIb;y1VQYRvWUSI1UsfrU&5O zM}6FxEkT~hLO*(x*YFryjT-2*$`ff@L!PvIC%Obd*PdS;f)uJ`r5Hy_+=8p5GV8$0 zuGfQ(q(0b8t>+tER-~Y#qqEhIsxZ4~agL(C)<9>j2d{)pV1RW5X*Rt2tS>8#%1>Kb zqR0*DBYZzb#<)iPQYpE{bE@1sp!~q#e6gJ^qYgJIh&Czb1$%vrcR1)ew>^%QIQ7?P z=c9sQozF^5WyxpNpEzc15y-^5WRYOxK_#B@5>>PfBS6W`^>Fpr%tYRj+R0)qS#Vbx)Ee2#_+*-tueqbwbb-uLkwca3GK+U=rF{upXE701aIf2OcLRxe?Y=c7 zLDheIvO%lL(uK}4QpQ{T!NEE^XGs#QE(^W>+IK(yU8u+^LB)*A1%=Pcs4WK~yvrim z+PmMkwR!v-bkkR+a>Y_M5}qrPNH_b|Ei|&l;Lub?sCQrs5Z#GV364S0ovL>GR~cJ6 z9z0CZ*A^Wf9x+~iB4+;Md0~YQVrFqR@}h8%V1k{Q^wX#Zd4`aEb-OGRv1ibE{lc(- z^R@U;)juBDc2o-W+!NXj`|2OVXZPjvX9uy2OQV-(ul7FxAwBb6ap940*RF#2c$3QQ z$wqU3`(yt8`jhhQGK|2sFnPiuI%U_p8+0nq%ZY*VrrEyitgL=0f4A=IM7|AgVKx^P zEiBwI{@+TT8h&t#b?@KlYTG3tJ?8{MkfW+Z6xj2k=S2+~y#D;)>B<|Or}k^AdA}Wd z`QGP9iW==o?Y=pfIG26zS^iJBCxnLH#52go2HaXcTC?E6qmiSV@YI@Y9T@Q`DbDr4 zX?Onf>+j}pT>1Ooo3C1N9mGfO))70tCl{Y`E;^B->r8b=UAw|{oBYr zP+57}ko}*qcDxB_%9+gx{bmI!VbU)Yec6g6af*SY0M~b|*pR>N+FLr04~?ShK4MML zu3eJbwyg;bD!eU5+1U`QXW020C?%q$*RS~Kv_elQ-ULMxmK}jb%xfDA$vFCI%=B2< zhU~!yn3?+nS*&aCM=ERsBfFO!-@+m(o+qCFbV=~uG%o$ZLgd1usqC789+{am-=}eV zJ>Eniy^y1O&4piu65&^AS3j*tiQuKcJ-^;)zv0x;uZ4wt+^+M=(!};f0l%90mnpA3|WlQfSO(vyzWVr#hWdYZ&hm{eGc#TUNl{6Kl5qz78tvVN}im; z?SSohv-O?c>nEQ$BCu>Nlnb>NSF9K18K-uFB0O^7fb=!o>KJX%+}1L_@;3lTjAVCh zi;-_XKO^Bv(bw9{XVb0--SR?}l%;4l^Z)y+=C;({SLxlSZEa1WDM~v#R7m_gAY(YE z@(1e_ki1i1NQ;3lyd1xMD@a=%^OZ0E;VY_IhC#fc1=&#xMK|WcDxa)-ax1)+8 zvkk51{Hd3px+nPcd*uE$JwIV|b6ZH=`D4BXh>fU8jrhq-*btGcYJB0fz{XvVZkyBK z4b9CDlQal9a`n%KtNd!4HbvgIRU~dzS$nZt~ie@)+ z)y<+Yo8kTBX5U@bL;iY$cAi;W6)Y3F5d(c@m0T$65u^kt)A)vg6!{4VsJL(vd3=+?E1!71BQJ{t z;HZA|oj*8~Lr`q5#y_sAf4Jk?Bzm*uzIz*5rUUwycJk!4po#X|1$3aByE^fjwZ@0# zp89MWPd@;Tog~EzaTvCr-IG9Lvi?YDjHNC*+m5g^ioU&14~*(fXmG(apa9fi(}mTCE;?ExX$*I$DH6`? z?5_3)!fkr=ezz6U7MFa%TS05xCv>$=%-bEupaH~)SAXI4@6qk*vAQMTKts20A}>DY z)q(F1@ydN(rUy4>ZTNT}sL})G<`ekV^#EX*S6L?P{-t&~i#&k$C6K0nz7=2!mdIrf z4V<0(AxW~ew_l!Af{yevcl>tYyWmK{%c(y7wbnrr9jc+8v(S~cJx+a8Svij=%*o@& z_U?|^5q@tB`{R$t6E6`F|L@$Qb$o;OMn8R7lzq@GBzW?{^pT!y?14RGR^XHjm6RzZ?IJe@tITt(Wxu_9((R$(y1(`z)5>Kyak^l!kum zzqE1_@(K(MFa5Px;c5_Bdqpnx>M`n~ZX+MW6JXg{%=r z4$pYym?C6z@wP`El?}`QOBjw(tCy26LoKpBPQh~vB*WX?U6*iGT=m;Dzh~Iy@SyrI zeks~fo?#f$BHbk+$i(D5sFQYM+9%P*%WJLMMHn+j1W8jYC1T;`Y+mLHygJVnujolX zL9A*TZSlEugslmy_)`-6~pUHaeYp1Sj!7;02H?>(e9Ztk-QzS8uRJXn&x*8{QCEKKXm<+ZD^mC z6*ArGDmx-ZNJB5jw*OTQpiLQ30)SK={CO8L5vYyj3HKac?s>x*@VdLNiVysq4zR<; z)rr`u;F0Rt1NazoJ#d%+YQBMi)%T_a)5iDZ%%!+Zwdr>Njlht&VQ|Y4&0=MVo^OH- z+mT}rK@6p%^@;~BUea@dn zwaULgeg7RJdw%DQzs{+r1y_&u4j=0K`}wo%mTf;oG2Jw2?3B3gfk7mRpNHvX7a z8qLr%YEN8t%P=}YQMiQ2VduVI28YiJX0}73rYwcSj0vj zxh+xI&1*5?rKZ=fx#BC#=Q-~xMLV87UnMbip_#k!Cx1P1@|>mDqVq3mm7J09e~ET_ zcWyobkfwd8B)1R~5}IREH5_-MG9HyvK|xda98-;G_%5T07()C-;k#nEC?gh8OuVEo z4K9>N#2b}}ML5F7CL8$S^@qn`F^~(EYELx1@MSfhjcP;Aj=9NxY~P1>YWIF#LpXEK z^>VHU)~{R-aW7Z>Xlf9;qf#Bv61}KeUF6c&M{`Z~b0XQ|)$K>xy1Ua1Xu5Qs*o4fy zDxs6!KlLRcPJ;pNR#|S_8m?b-|Ci>Qqj%nK+omNhp2~A+0vbiQ!1uR~ce{A7LUoT1 zb^l7^nc2!q~XDdcT8vk53G}hD4B2eDx{(HQqQ>RZEMDa(9 zhpM@!rkc z038XgTTj2t+Pi1ZLT2dP0LYko5c~ij^~aG6`utYgUhWmfe4hWzhBooS4QyJTN%4Pv z2Q53QPX84ZT^+v02GQTzT*WKU>^dkW#l>xP`tKqFw4p8f{{H?b%<_$6HxTwJN1J-ajdK?(q+xUojy;-7wY$}mapdH-ob2Ne*Zoi-j6k07mUV- zI}hd!BKt0#yi@DOoa_CJ+tDA*G83`blL&QM+<_-0!bYX6_@yUXB!kw{oJ zbGNYY8@$h9%>%!rcRcx{>2P|v&>QtpApwyWBPZ0=)GH4vqz}%Xt#_SYL!I2ok8@$c^Q4fRlEurq$etb}UB z%3`xz6R0;sl3L|tb0q;trZc*!M0Pq+8Hqpr{LJa=)f-x<^J#n(k(NUDcR zPLPq!(}L(aE@hDr0@PDjsC9m=j>`tVC!vEuKlc9G{W4!ba1*b@0%_5oD<6!syscLx z8nQF4URl^Tsg`=RU!z_TF#^2BOlXN{(qy1+bduQ?T*w^xeTDhxC%}k_eEDP*!}fc2 zl_#rzKU;&0{)|G8Z52M%!$?B|3V@nK2++`$65Nu$9S$RcWVZA*0~2or`7GR{Ge1sN zXL8C)aKK_JNDy*t337F zGm2&p?@`a(pZmZwz|Gxpr101ed3owqH>{nK?{|%gLu6l*5K_r*gzVYL7NSL{L<^d1$)0da5<*l; zC2ihwp5u7?<2jz=zPpw2`(4*}InU48b?f%O#M#_&@wY5~3QJOmFU)rNK3Ca+ry4dZ z93SI0*9sp#{EZ>`noM8hIWTx$BzZqdo3CKf+O}$E84nV>-{wNGE&TDHU%J`es9(QR zt9HZ-o~chis}t`Bnwt>S6+3xIdb>;sbc!RaHNL4=T-byoDL&>yVzlP9_gK+avdf?o z+>&QF18FwS@WvN+V%+4Dwb*}DmwAw6I3jw@(wls(Qhf-USi_yHV5ZdaJ(OQrd`DtE z2X9Q5XspPy_BU_BZc@W$3}KTt(@WWz=wfcZQ;bt?$gq4<^4}D9=cX-Y#wHyUrf>8K z9|^vJ{TufE-Q#1pI#cTe>S5$*LU7{&SKHEmRT%OR|l5n!;d z%StD8O1|5H;b6DQFsZm!v9jS5Q<{W}Cx2+m)Ag*(NNibHSRg+Mcp9rza=<@#?1YiD z2#Fx55~8?2D9rB1>Z9It9SULqxU&Y~_C_U$V~&@0H21)%UoBE0@a(R4Sb!QB*1Iwn z#c%cuV@7XPe}EE+@P2y5A%#JMa%~Iwn0uPhP(Er&y|gO?!A1;yF-Gh;Wf$+98^ANj z2qcBT-rO8Z*T=410?8AgJz=vxU8z+YGj0Auu!J zGTo)?hs_sGbAi2{FY9h@KyL+33zJj-$OyoE6O+Fp)XF>AP9s#0FF||a^Ql{>m|EHG zenL2D8HBDyGV|oGZ?&LHq4~h@4j%u!jXShe6&b^SEWxvLbHO0^jrawxv4+ixj;h^G zP%;eJT(}iFT=?tq^^Sk?Z3o3_Rcn?yNhR!njv1v=QYn!3Aj8DY0D{LaRI!0RDcTindV>35vLYHPW7Se?p;?2{xO<$PZ){v@##y%NQovST* zVp)&uE0#!ME!qT;73^TN6JInD!2~RD$oFrKO>c70hEo{uvF2|lnHF~ITI3pJxI7%Y zYFG|hO7G_Y+g)PfDf+G}!Ms}Y4WIlK7zd&cQ48^(v`r0V@Dg^&&}(E3%1y+yjL-Z% zCr1O|R42mT%EBDOhr({~g5J`Z*Nuf`WjH{YKfj!7aOVX}&StvQVQb!j;=--$x;$_B zT{-=mS!UVkzxNS##5u}jvqn$<`4ddu^_Cal3SyMdrMTjLLZtMBq1W{dgj-an#QtvqdqGS?ncXTYt*kJqQo0sF@iiIK&)d^LsuM>f?oTw!mOi zh5kM1zS&wL1KX!M=iUqLpO-l{sZ0_ocI4!uu;bJ#cTp7&PH8 zW#f}L=;>l5dL{;{qHtAJopS!1R^QjT>4N|hcggNcY_Pd)PmS8d$~zbM5ae{|XZ#gT zRWtZu9CO$(-n@C!NY3Wiv2v$5%G@Yw!&+B zCfSG#wydMfDo6_Ih+{T-jE1aQV%W@jPq3okF|*CMsQm+=W1!}E+j9UJO`ua#&CK_w z=-89|9_Gm!9R4uBF0q8aOeGr{aT2XFvOB|wCp$}D=VD8WIO8&14q@8?QVz|qq*9!uj&V<>OZ`o+ z1!8+FMfYzJv9reLPxBv^+f^-&$mk%@CVys6`Sp*FH$tFnCVmfb4*P!9NE{0J^K*6Y z85wFV241e+dG#Psk@h3U)ZEOhS9WZ0Fg-sXa-g#sRo`d(O7OjLN!hDg96NTF(dwG? zu5FV(<9vh|wL%&ec>i>1CAdtEO^xWZR?#L3Lc6MKcfUbeEcmaR*xKFrmN}_2n&|1_ zftaV?sV+xqFIv5~HBzJ+Z|98mNzFTW`s#`uxeX0{_GctR+%$ji4#J`Xxn03u7bO-8 zLZt~^(sufuU7~KH%;ew4<#|l)*=}|-6lXFo_V-F(e)Hx;+VEKc5q_`u)erkel1pyf zI5HGq^h=GSk5K#b^%-A6=gYsHigH)o*t7~JALt-Y@tiPER;Lh?W3{^e=jKat3~? z6zN!+ogPsWA-9d!b29YG)o%79c0f^3msc$#^P0|>D!Y2lZGg`(+O{;fq}nd6D*q+- z{mx2(cx_WLH4FCZy~HhReVgQ>en6rU7!U}FZea{PNb2ChA=g^9v%D|P7QTZMxeaZ} z;}blF?aAEtMnB@Wc1sLJG`~ecf!~=kkR1iFH#}zg8Ui&}-B{r0>PvZkn_qpUrQK?$ zD5}oay`1A%~~#2+UEQ1GLmNG08EKfr}e#jNx4)kKNkI- zf#bzz4j``gEQbao&|zJk5a@2s{OpKHV0xs?mjunbbW7{Tr^(?2mZ-~WNBxA>K8@Ay zxifJVeDKqU-O8!D97WiiRG5~7T@<7kCrtc(tdaPqMVf`5RZS;VbKq`^BNhPe2XWmB z+`@3}@f+M`S+?ud1+M9cMdH^4&i~Fn?=?K zQKt22ga4qNLXcH$x{a;##t>Wi(`p2o$9cf}%F z#$X|!|uwde_AJN zbSO2Dkf;jTw?2Y4mZ1gM)Zp(LX*?hcq#e#vpy7}tM&*>9mHDwH^W3Ux3rNR7@ldj1 z_A%Rv`VP`FD(};EPoFa=9G>@>{h2pZ+Nvtp-p__V*a-@)h{OR-Bg@=hmwN#n|<{KbRF8|&eHJ8I)$Zb1hc>ms@pt9HP zmoJ_jLbb=TCaroa0t9fqo-^W&cF-9xOJilnzZ7`igh z;~6JMuwBg#pA2mDu&sGLK7Lx6Jxlf2v6(W1?O|7pkq*G{cyoQk-GvPbB!;HErPwUC zfTQW@ae#nOV1|XfAo%OLZzTM02aczv@$K-BL7nIP@;bB|FEMn%`~)#SbjN!D-~y!A zP+a_OsPSKbXy*L!Z%Br>ijX(A_47Lv1@V$gXL9@M>n6oMQMD=d1YJ7vx zMmQ`&AkefwxCA9^?v0a}d)nr+98wliW^}cDJ>JHIYZXA^xojAVzxsT>MiWxZlE;0 zlZpBWM=tie@4i`NBjm^3!$WM(9wnzELshprn&hPq9U8ro@^3BsHCZ}F&BnyqU@NH6 zSRHCd0h1q?lO0cRaJN^DwvNo zQ)eOnrKSyZgo9tvthjsk<;;@H?PCT5VeLD0d9;jK)r6xqxQ{uKREGlSVMfJ5f6->jYmY0|38w`op_Ff8?O%C7m zpppu&FL86vQmiI(2qv4GS(`m;H&QA*DsP`GJ1*PRi`itm$ojV7t1aTZS(TTW72?^nVYBg%nbO0h1s36 zzjMytv*A$sx2L>89@_xN)~!L=ND#!Fg!-uq|pfrASL6ML%IuhpZ*hCqpb}zr%1nIF6~W+)ZT;H<>{{@_zyE~?yma&#3#p)kdRQy zJ0FF#{CsTBcU*Fpcpq5L5f|5r=!HFkM;FOeCv&uks+%K}cfI6eQU-_$dcSK*I&mhO zOY7?D@bzEkazqqTd4yT$;MHBD>IE8dX&Gms9X(ZTjfK08447}|S;&dWw>@OF!ZXru zQd24C6b0A!%+bOpqbi>_+qZkx3NTs@6y1 zxC2G^M$UDro=iG(*Y~O?9b=5e0qa3E&jcuph?^(Nb=dH_;Ls@zK`gLeauzG#+B;@%O zvBKA{kVqmQ;3=N2U_5Rl=lK$Hx$^n*$K2eo@5XKhGe$;2iM92gkWhFHkT8d#{cLJ# zhiTb0lZwfE?ZOu=XI43!CchNBd>g z+!duU^qrXJfj1N2TI$G|m^ZPOW)w)1N+0vQm&9MI-Qzx~(qho^fiVg!u|l2_oNwwm5!S2l0vzf|T?c%^wS)7h5+8bfMq zSxsO5i(HGkRxFOW9lZ>=zpq-cIy6$a~^@{G8X7!(bRQO6Rf&C za@x=*r@9->oEW%^1}&}_q20}NwkVtC^sWgX_XhUTYZ9G4>cpr05vr-YVU?)eF+wXU zPg$9(p+rZhB~E^&)n|@;OzcQ2x0lP{r-a!r_H5VFO}&d^4aVs_kc{vV9##5o_Wo9g zXyKwT_Z>?K2$y8(sxkG&#mu`nqz!LezphH#7_Xf~zWx388Gag{R<#s~tP=95a~jc( zkma7JagH7T3^)*@3S*$x@wk2a@#EjLR4Bhn$RE@mn#O+y3jR&`$f2$ABUNLnw{@l< z^k3@EBSQQ&mJ%AXvE_TyhF4c+mR|=9Vaz8FshdbBu3&~}Zs^2?u9+pa$Y%VXTc|#u zklOxkR0Kz`(KVSZ{mM zs2hy3KqWo*X8wD`j!fONbYI0oyLTTtbm+h(lLv1`0`3WhS*Bk9j%`{@( z`KSs!pYUr*>j;u~@1r1=)9RzRlY^8PzOFpcNS1GxF0{REb8mR1?&W?B|k zbSOD`>+Pe~6h0R|_1B%^S5u0f&Yoj}L?djY>$s;y_){#kG^$&c6fb$wDJH3u+%fOk zQIn1MO$QkBz@4Ry5%Aci&@fhs|1XxLAAcq{5et6{c%dpi+Gb|1K z^dF{B4DQ>`v<_7McmlTnojnX?fL+%K+o5fYHs7u>M2RkKTCN}4HVKzBDwq*@`RbrQ z7`~zC&p&V~hZ={`umXa#K;I>*gFFj~Q(fqf+5%tl5QOZA!N5WSo0c%4OGt87fue%J z@W?!8AM#N+?j1z+U^uYd*MyJ(_wbPn$rfV&hLZa~77QWpj)TR!}{pa9{$q3In_hS zbOfMRpL&-YY(Wu-4txc*U*U5+y9D~8BDVocDrH9shfxZ;?E&v3O_55^NNJBc)TZug zYHPAuKofG8KosMc_t7#Fa?kn--f-?a&sdH5cE*aduOV>Igb9()cd*P~>f?1_78O1; z5U|bvAmbR7*nMd9V_@VBCE^e|p2STc6i7^VeO*^Pj4XKqi={ic4L@+K{!Fioxv~r# z$tg~DxL%{5LXp!P^|C-#fiWvHOLB^C6t5Mn?wzF}Z;QJu&+Pm?t39}Ez_5Ju=(Y1A z&YvIOzL%x~bVIN`NN~0%=|YjyGUhX!umr2)SPt@?Nj5p1VQ@8nW)w|`&rN9mc{5b-883a_rF5z9}6s?rQVpJ zz2AJBt%*#-wJAdV8sI-}TE-QlbmKMG;xLv~!iW(4?4_Fb)JrZS&pk|wB;Lz)`xm^G z`;>R48=;&On2Q%MEki`_~g}w<`rMz~5(Tl$_*{H8cZc_P@_~Nv_TW z*h)!AJOUO0vYYQoe~AV|jJXhQ+saDuC;=Ni2NMHxaLK)Uf7=dE)fyuN7gF&b~sAu^ZI!*P%ogg8pH z6A;vScM-4ig;yw=4_^)&JqIBYGKch88Oo^Q;$qAeP?Hq2{+^HDG&VGJwpCju>{)QY z-jlT>s$O&3fAbOxeyjuolYz{YQ}@B9G2tB?7yx+yc88HW%%T<)9$&fqSZA4ZJ?Nb* zWj*g9cErDaEUfR2^)2ix6?Y~vl@uf-yN z?vis@C6hFM_hTUr7pFE8iIYriM+TZQO`wq%j<_Zi9rO4^#!gkrS4I3Jx;#r6c;|kJ z`R^;(Y#vuJs#&{Ub}{|HxjhtJ2>T%=9g{XQ*wpWlFpf?$0lqS+52_~ zb3DEFI)&o#p31A0UBRL$w^Y3{4det1_qT+#-Xd}00@t`Fl}Ri4RP*%>*<+~(VvQE*zhz#(gTMruEO_{Yal z7_YrUe&N+<5^!zrd-LWABY%GV7A~omX69qnPBGNDc)sqK2ZP8PNzPOW_;A;hwpYve z)05wy_8n%SCLg>yt z$W7Ro+qh#-aB_u`#*DMwa$Xs&_0b>1x&Gj``-y!DXM_=YWd?8HLC*}!!EIW`3Wpws zO*o(5h?qht6y6Kt#sa4FYCG25s%4;x?3=eUoz=PZK zMh(&Q2}?!qYACp%>mPm=SDY-@Eko$KQw(k;$G$sYGhlNY5y5<8@Ryck#XR3tBo`qj zAf?ny+@;!5jl`?%zj%+IX3Se!QnG`{A(wAR%Ib(q)hjh)(vhv7sO? zU*zbJY*s@bVd*iq$Q`wNybG(WpBp33%>M||FL+@uZE0@KraPQMj}gnrS8#d0cr3u* z|J%23uLieu5uEG-Zyv8>ppOBvB?-17FC8WaMZu%6gH5%;dSKJwKXC-q6Wz{$#GY7EbWliH!cnjRO+3~5`0-TlzRN9XvChxE>vr+1%N-OrN@;ow=19ZX zCrjB6cSg^g@q=M9>MrEEP<%AUu$Ac{r-P2HX6@8xOq4NceaSV!I~mdBoSii|RgJpo zNu?gvL{_r!MWS`Zjwt_aC*q|g_>$Jofm&Tt3>AyBjBYZ8HVJX~*|RLC75L(_lgDo^ zc;z@0rlr-h8S$pi&hJBI_Pu$uMH(`|fNLUAZ)GC{PD6zunkF5!No#M4elkVZR8~9r zXV_j*Ln5m-F;$|L;FMv|dztNSblYULr35y<=H`HT5O$>NKV3m6-7cN1m8}h~b))*0 zFI64%h#Iff=$}l5h$pIGjpSzt^U`)(Kgm`C7h1mzF%CRMTfsuvk z-4JjWP>b!;;A&eMwvP+M`s*`*K`@Pz1zQCK1c1Onmb1es=JBEUcc<&8`BX!L;W>wK ztm%LTM`_euN+$>hFeDfv*lW~k%Y~e~M=XF=gPg%Gex2j<{e{fDUs)>1-f*x{bFs(X`1ZA-E7P@%gljY#heX>3F|6fCT#GBg$62PU9V zAgRs9#W`dR%q@KQ)Cwg?g*{caxKKz%rSb8t4fHR!uX?x_w4a$K zeQmC?81$RHd+g;5O|DUNagBfirhT%qlG%(~=XCZin=9848Evpn?&^M7rF4DyJUpXv zv@hgxDktyJIEfu;9d0CcbsugbtHV9ZF6%Re&mkie))?|gb#}M5;Ef+Ft`zvT4ugFM z5`-aorNz}$dJU#J+4^y**D9@L`8H`a&-wW(N^vqLPPz&szz%M07ptq%4o``$xn&-2 z_0CkLWZiRo${OY11_BS3;^^FIqdVmCySM*&yB1H}?=9&ku23pUOW7ztkx%IEPF8tB z&S8ZNTA~xy4W9Ow*mEy!kx-@ejgMmz-Gdom*HtBWV^Od5rMfm`Y8;%BLbDV||ZG(6j4HR17A zUd+S>Wv!l`UX!LQPyFAZ(7(rYbvrQnMc7c?>2dJkHqZeNS6JQ_p8lvPj_DLX2SfP)NJC{M=jG?%U;~HU z4G|ai`2extC{{jra2eM9=N%ofElv=w@7{XohwO?WSG=>^!k3SST5`&^-M-b;-OW%M z-860-FUTxV305Jp3M2k(PlmfJ=Xo;@;kvd>iJF>f_G_m%70Iw@?6@(Ay$D{x(P=O= zP83L`=;PEi69;Y|8x8(=Z9qr8y}b>+KcVg7wJNefxaQ)6v1a?^8M!d2VzsnA_O%ra zT*;gn4jwrXQrMj0;Dy_G(K*1jZSQ55EF=$GTFx&2cKRZBlY7?0qw=YrM3>B%l2V^L zVV7$wi@+a^?vuvmgQ`M>?gHSw6(davppw(CAIKoQ9;;hWo3Jr3VIuwqTm!?N=VPK4f^y1aHVgTEqI1RrO+2y+R%j)pMPe0|JpFDI3 z_5Q=!$7cb}l>qkPNR6))$;q>6uP)Ojg7CWJR_-8wvJg@4t+BdKli2{z;=bW$n9WwS%X16T%5jJtLg(9&B!fc)&!P30wn48&{vC#?q4K5txVhGYl zW&k#KZ_B2ZR?yO+sKmF$BXb|Vc|Y6>TWtL|lBF0H%tt|AkS)LzwK{gX;24#6zq$G1 zf|+>+BMlD6p6C+HZgBOPAnsYDeRuA`_?CCy=Z7@J-v>T~()J}xQ~|@Dt8Y^~oTZ<{ z3SAoX#6#(`0dh+GSl`YjO#Z~A6-c@!BMz zNe0-HWpfxI94R#!^Pz9(H88(x-?xRl!+KS*zx+FxK9F2`@*iCcKXoCVpwUIc3qzY6@w6V3V2}qCOs& z0~$$H2+T|TB|Ds-yUQXvGb;z+g!7M2h@?<>)?MzI`Eo}hJyKxfq~AtX-O|)P>dwp# ztdbEuV{v2WGfgUq*-1ZW$2kUrPOmhTq6<7^9(gVOfnv0N_k?d+ENg!GgV#ONH4kjO zB{L%}v$|Zdm{QH@aF&6fFxu#s%GUbU>PiAidQ z>p8`%`l9igBC-bayquTYHgQJ7Dw^K$meZHK1$jW>VLgllDDi?G=UUJ7N}~|p`qx$5 zHc;7NQ)oo(X0QJ;_kd$I7eCk+`G=NQNrvro>9h`xta_7*M<^1Ec>^Af0T;BupKmzx z>=^^^fiCq3BQU}0flpDFD+}ArzP>&vs>+D1_>s0vR@}I?M^bF%(S|ZJz5`*PgkQ}Y zoGx~Uy-RpZjA~m%Z3tfZI!8V4K=XR$eHuw6T{-*NV$T9+@Gob7;l+l@l6-*#SIo_m z3qFoKzA#a|6aFIc*-}{T%%eBC`Z*Ri+<*Ui^X~QQOv90FqXQoS2saz-E+_&2;fK}N zk)wv`wwTwi);ui9Kk%R8-+8ppPr>90vt^19LY4Xc?#8JjlJ(aX15oxm=sN}nKWb_3-e(-iDjr zw2Mv07YnspX2=9WNC*Mp?s~*1BZ|ngR0Ni!>tVqoOHR=(#Z1%d03zjW+GC7Q7INXS zg9=(SZOogSH4>-!$1m4(Y92j8W9EA1igt-X86GfBwulHPX4wxvgF_@U0iDE-0#I8L zN5sq1a%7qTSkb~dOAlUy7^J93__3QO`-&Q|x5m+mlCIxmWG&6x>O*GR?uk^2Vh;s_ z)OOtqtQ=GIHii_QKG_XlH$f8O`X5KirD6|d$-?V4AnV9L=E1kPq9~Z;LJ}`1|9UQp zzUIlgEp)tD{vu1VdouOXsL0orr|P9r{M(;SVE%0Z4B^w1jwx2*)JrXJUO15W)J!NH zj0`snBJ`et;AvA~6n5s@_+|fTzZCaxodmng9w62oJ@9T@C zM5#~QIzA5E-R-KXa%$!8_LT4^PdX(Z-t46of8GCD-Sz*q04pVJNxLS$sM{ZkB+fQ9 zHKCqCLe3ez(}eTZkSQ2dm>tR7!{Sy0vjJnwQs+7CKXUZJMS$sm6T<`e=!VhddtFQ#srH_MX~A^MOJSRrNT ziv}=I#GEl22!*<3vXf_B@;kPV*L^6!?(D>lSAspg5Pb-=kY+L+(l<3lx?J~t(=}Y3 z$-9667H2#iZN5w@XbU22TzaJ0Hak@4mja>3}QgJww_J+Sv=&+Cl4QGfUy; zj{QuhkBt@JqCD~Frvy3i>XW8h#mP~4LSaGByk&9np0#A0D9<`#Q)Hb_;p2;)8GB^1 z7YKfqy>pMFPP-et{}L3eY}fpbUoF`r_oM&mIwJ~#rW-}IOhwa*sMhu&kydtivqep# zbnZgDo<*B*%E}^^@8f@bf?GidH9&<~oP$+HEJ*w*_msU6;{N$*K zU)V6AD_{Sg@oWdbvt;IOUd{w|4dh8$onuQc4-XI%eWrR@LQ<@6?t7o5M7G`pbGW4h zt@(q$XyoJrGm$l4xCnH|Y7+Gb9z5j&l>^Ed`lSSR4Om^;CXsg~o{n%TYB!SGL@6;J}=9_lqk1qII7_Qtaw zFF!!X)#&6IS2l->lp*4WEA|Mo$S-`&H{spP6$79t4ATs(XCqQ{8L~NN?|An-xxaa&>`MaYekYg*h;c~%0rS)yd%IEz74Att>7p+BO0^mVP8(k**#r;#G zCjf^7Zi}Rrj8v}jtLG~#7{A1FyF#F7W6%#E@K@z{-QJ;bZOWr30ZTQ zodK9(NFg==@lwIc|&T{okHQ7l{ZEeWBBluvCXt?N7+6=}{%rtE!29_^Rb9f9KG*^2fIjSz}v^VLX!(7ta}csd=fJ zB)vFuYccxO4L1h^m{X-mSM*AweZl=jV2fXa?wDBT#~;s%jj0CzKEykc$_C~hg*2K} zu->z)R~Oz8&AdiM?GjTqQa&$rPUrOXf)@2Ww2Q^3w@TNR35HOe%bow@>@XQBg~JCFw)O#o@}&m;2!Lqa$`fouPa{p#n;^_xBv~4 z&Imc9n1AhkkVEXEhWsZo*I^;v!I!V5msVh=iumTET!6qdDF22htZ)6`b=);`@_0yS z3lC>>w5~&uj_i$!im-242BNhctUYE{R{VJv@kiXh&sT9P{K9_+LQlB3>?}yCmUsxz z-!A|lUcTy=JtZsfdHiQ*&Ij=a-SDl+%E|^8nGO1HHBa6cc2H~JTT_#&NXpwncbV+q z&ySbw)l*zXnwy*b75)P6Wj^%sj>O6B+cvN=W1_IedTqQAhHrZX64>^dRE<9Noz#X* zaVQkq*)C5{b$K#XP4CDN7amL;Fr5YsumQVus4xtA44*{rygx?-i9llvY@B5}roRR${`+^~^9{2~R87eD zt>L&p+rgjNspQiA{$^!I+36UY#Q&aLym0(DYSTj%iIJiC3S7j2jDxF&2g7o_1L@!aY zQ+M-HbTQnwFgF*wqDSmNjArS9+%e^+a@oc29Ah&PYO0Y)>MZrEcUI)m7(gC& zk%u}p?A(69wv}R65L`>Vdf1YWOBuGIMD1)F$)m=yTEY^$vDN1~ir%f|vR-LK<)yN@ zu;}y;MHoGTt_Qvaje!Z#rdD@^~zpmF9E$921-ykj(${6 z(Wx+wdFmjOe_-}IM42;7YAIc9(voqmHC8m2=GUxmw~Jg_`+WRw$j zvs0AJ&Y2haOD;h*kV|HV{-`>YRC}(7>Un^_F<@?|%l-bj59@ffRv7s|Tt3I|TS`E` zVO!(8PKeKb-K&uiv9u0OSCQ36yCvQ>QRDdhufo!9d|LX0ic07U*L{lJHj-x*#+cmi z5_Jrl&9D|k{L#siyXn$9cI*gO1@nI;dfe09o$0^;R#ctOpEqgM*3~T!S3BX_sJ4-G zvkG)}2BpdA{OQY)LI%4g_eMFt6$v?^uv+?`&P5IUVgY9kirqjJP)y1@1B1CvZY7+Q zd=M5Xlw#@id+qiYdGfU%DCHp2GBBt)MAmgQjbLTQ%=-u>HFSMsc-fqfoJ3}4QOU^A z(C4LdSd-!B1u2rE;95NtnH$(6q5iL~Hm2~jr0ELASy-4GEZ@Olj%m6oF^baRF56(= z%p4)K5O@K~(R6Cw0~$?jp`DU1il&o}2)`5NM*grbTtWhhNB z-JM?KBbVP1w*4)3Gq_8Cvt)aLe-R-hE3hGPQXw)NRa~(I-}>ijf0Y~cN}o^rsjF*p zM33lemk$(ixFKX%Gj7+eU6}EjiELb_#khk*7D!sgSRb)RHgDnh_U-%1pAaZAYDchG zwz4%ZHKN*^SeBZEyI(YSDb*_#F|7zvmZ*RxZ%`yE|0U*nCe@Ap1(3i*)xfk`CG-@+RHB?vE|>+U_` zH3+#=l~@-cP5Ne^HSZ%wqKWMhbNG6$psmE>MyW}~z#MtowhhQes_K~x+$4f9UxfdR zJUlB!m)^WN{d}Zwx`-7`&64kSOy@Md6#g#9sLp;P-`>c@6=Ma7&Pa0i?%xl6N!@o1 zY0x>bGLJt9VwZpZt$)+P7tEG1fd$HN$bs|&gd08^07MW*7#SJKRyST7+-$bSkwW=h4{0mEeESfk@|eVIam4fi)UgF~|pHHKq&2*P-OZC4fJ-fa?RT zq_3!`h@pzRk5%FVQMpvAvPrCqHf)SN+!D-kfsc`}c2wDCI#WS|} z!_G1eBz)F_zrR;Owqw@hRDSG*VA2dc^NJyV9w02%>OK~Vs}$CYts?wawzz$KQ|h6x zF@B5SKCTFk=%=RV?Q!Fss9N5BkmI000=T`fw7{#)&Ba^}dTF2Rt${g)F08dxJIW<5 zZIk`sb&WeW#^X2j%xsEpQFtuL7q7l?a(Sis)Fl_Ik`Z_?#wLhID2}oIj*cQ^uFNY} zBy6APBSxqQX#MW%x9(->f3dt-RrUF2>?RF5-L@d$;?L%_falD;eJhmNxkpT_qOuZX zX#)L$jihn`caVo@T1VM{Tq|z>FV3kioSQR%1T$*unf9}9Cd6!8JB>Vc@q)E-S6qhm z74my#gx9`smZ>Le4G?sYb(Y;ZjjX*GIt+3}M(E|;6>pnW!0=_6p%nac5rjWg=`0=5 zG<(0UnkTCE_CC@iLXLh}e}BIZ<8Ht}M7=00C&$q$5D7joS^(Y7=z%y;eHl^BD$Mrp zAN0$<{M=Lm*>7wY4;eLHZUdjM;L|>^8#p4U!D+?ROCzDjhISn~!1xvT>N#8R{ugpe z@tAW$M%;phLOuFw3{}6On#Q*X(A^>;Gs(3be;y;D06o`gL{VwgrdW8SC&D^smT<5k zm?HY?7wCxV=gM;1%|1x2KWQe^G~tE?9l-O@RGFIM3{5T`IeeHtv53VU5LE&Kj9VR; zT67J%sg1t|tGpk7e}!EK5?;Ly{Pu8jD@yOKS=ghpx`Kt^x>Cs81|BYK55Du)XxU*{ zm_YYBH<^Ik4)>Mk>8!%)L}%#m;TjL)&elo>zTw;V?`!JMw;evz`2E&tq^nq4$NAMm zcMYBOF2!pS5qM!35izW*JzfVM!id5kwAmM~ZkKDzuuYR+V2b`6_z*2qsmWaL+qcj@iSF8k{v&a+ z+5S#r<90n}n!}HUHy6>0!nXj7euU6VPt4)$E_Ur7%2N{}Mo<3sD%o+=4pqPVfr|lb zd>pL6^s0n>LPAFP+cOCn6&)R#B1Km^p_oc6W)u)6C4>Kc3=EaF96nBF-Af`+Gq-ZZ z1h7YHiY}dh>{y*epFjp!zTx3%KcTuD;f^oWd(%zC(m|>gHL19wE-ED@Rc9#?Qgznd zoyyC(a#1+}YXnI0mmUi=$eTbUF3_VVrD0jZ;0>o zB@dSkOm)n8$>d9lOJ*D?H8tGTSpzRDC|cGDqJjwxdENM%J{fZ$v`J>pS1C`S1=lYhY1G_teDpso5WX9bHLe<7aIoUD`OwzZ zD&!qrIb-+J)|Z&&rgDTS3rgouM61}(5ee+bn6M&#!qtWw05Q0URXx)0+23COo1!DnX zGT!LBBWia}S?KETalCRMcL`j!ZFtCy#EDJH$CKI^%&?Kew21;-nm?h0UCI9(T<*|H z;EH>K#UZ9`%z+{iLX%ETr;%j?8LMj9Cn#O5svTS4%!!};`Ez(!3V|=EisbbFD361j zYi?qKBZWDz1VTiWUwuho6D!Bg);Rg!Rc-dUoT%>q!nuawg6HS&m|2?hKaY7fgjP@9 z0O8Q*)P{MPL`smufN0&&ddEr-M~&Ak&(F>dBiYmE9A1Ufb)(JaMTi^-1c!1pR#V;h zB74YWBchj)+<~kUcTT)l_-+|49_+2Cd-fQlOu>CN=Dp1C(fg18A09W% zJ=~Ty#TU=oX(>JFeqbp?Yz6ua%1iblymHU`YU3D7i30)zP*>-_tDn{tNtxZi4x5+B4Z`K-Nx!57 z`L`pa?FEQX#B2Qhe1)09v>!Kj(&YqsJSC;C+#$cvF2P_Bb3|4(=NkSjaqyG2a9q>v zcRUbzO#MJE3NW5*Q2p8e{0mY<1Zumt%b9u<|Bi~u@!cKca3!dJH59zd30KQ&z|U0`!E98;g2eUnt8<7?CSFp>e_$s zoe7XgI;AF__Zq@vML0|>PDrNfH zt>|KZd*b-<(f-mSN0(V+H~}rch-yVHF)1N|5xx##$N5M&8fL(uX@KY&=CH%5Q#gh( z!FNNiS$Os=s%>(mYW0_t&b&O?Fd*PNWVrgGrpg857*%7j z2crA>!#lT3j$yxsKguWHwRVM}Wj%6aJ-~#c9}!Ut9RPkz|Bl_Vz!tR6>p&Y%>~C1= z(Ou)4Vl92e2=l}!1;a&Qrc|`D`2E<2v8s^|`8xXe;27ARx7Vq4NGwx6wBiBHufEXp z)%f^fBCF+X5PdX@jI1U2?$}jSRjr*&pDYNmwldyZ`$X9w_2}wyC{`W0U9|PAF%1t( z`evccME;$do7;h0Tzkh+)}dH>38@<>C$ll&$m>=OF@ypbcoR9GIqb0 zhkA2xjvDv%!bOhwEB|?sk`BqrUbDCnA0MwJVtnpg_KEVrxx1?KVONs@UoBD0?cijM zz`8|Rj+(A_sYEZvl?%Z(LX++;bJSCz~B&kh9 zo}A;VDZ+f0PdIBLIOJ+^;kKQ)exoR99T9w6)QBc`HXD>);fx;f3X~&vi@Evw`U3P~ zBUykvOy74=Sp0Q3V+I)&34a#qp=fn!3{SJs=?@QQq30a&;)w-z@YkP^TiQ<2v)BS) z$XdVl&Lj#k60Ks;6Wp~fMJBT}q)?@We|jtS`v>osR*Dg;13~XpRsyP=@+NLvG>PA9 z&sol#wq_1jts3f_@{=2bG7_iSO8*h5F^It-i4sk_h*MnU znck+f*4#uUE!??22rSsa%ZXr(wcCS@P>zAfGkk%04VTpU;&L~4dwcW_oYC*r zcV0#TGC1fWO+q7=)HeU|Bj)^k@jDB87y&1bik~{(Gm-x=8ChUvX8z&se>MkxqlPjw zH^=ZYm7)T-8Rm}A)wZT}u&m{VKO6z#7%X9+|1LGP^hgFZ{W(2``@-u_;1S|qp)G;2 zpRus7S&EH~-MrfZU&)0U+KaDise`g7fxsC zDaG1R+SwmTR|+boe6grvD{w*XGww6ovcuHgov?r58@0X_`0HHxz#L}sB7$4;zCARd z@`f8xNt|k1D;8N9jf)I_Vie9zIi3V%TK zEk>#;s~SETAw;a>$wYodLd&0UCI~C&LJ}B%%O&C^KkiY1&@wZEv-oCC_Rh}dFI*9y ziMl;lS@P`?n#1SQWgWa-y@bv}@)h7S*D+7{$YkHWMEv4Q*4Yk3A0nR1n-;C9yy9lh z@u{HdGZU}3xouq^LH&)Z05+CEhQ~ltD zYoxGZq3G{mVl;sI}X7K!RlUQeG z=P5W87;8fCQLc12Gv@7>7JfV(3O*6?ys$7#p_~IWQ%r#)ioL8~i41F?;OspRb*AiJ%#`a7N=n zV2b{5B`BlImGPLXKNe3ZBpZrs%+xEDiDjMkc_f%*CdyKOs%q$l5tU6{ zIED_rpJ#d;G2TJ{LSJ!i*NM^83&lw`-!1 zggzxbvWpPHuJ>Q@@h~Cc1hRp$ejd4Tz(xo^?g<^rh14|qw4Z^tQx2ZRsc)Uw=kUeL zZ%itoT3egEsJT2eA1!tR66t95l%AQxhZn39EK2$`pB8}+dilSPu4%CjSrZc}h+Y$T zh?R%uz3%Hbaz}cNz^FZDYI@uh0p4Ncy%#B53j;wU3u_DZ{{LhRI;Ukw+gwPZ+4{`W zQPVykvR-(;A?N5@PJ?}@!WAXAywQSv2R(-agMmA{#wy*UB2K#`?CMqm4G)zMqB=*n z5ZH}*%_|0{H*W^_6Z$*+Iy3VEx8}hdeVCwdK7I`R{r4Y!e_R}Aki6s^9(b04`JQ@FSnq{j z?7biS6AWs*4W&l*<>h@1g2F-JA{Uv(-b~|9*E%PrYs=h(nq4=NaXPKO%Q(JJlK8X- zsnb|Pj#-=GA^}SX*tHV~h##2KNqvN(`{IeJD52{%pD<4Gmm_0v+~HaaTG}GaLi7Lq zXPvG$I68U(NBU=Q0s%~WIsY9K9c*i;ihUq|kFR_>i@x`P?|Z-cxywmt0l@C#YmH*; zm7rpOxbwaVexyq)5Ys(&mN91vLgO)lINIUi_Q@}dOjX7XOfC_pcp7Ep)$!BYW@p11 z^Yls?u!M`hf8at{Q@9K~9GU&-(G?%WMjtwRTT|rAN-#z%LVoYRpLePrMoRs<2(*_t z>z;%_Q?(;i@QC*RYXNrbXiMBKwMT4YtR{Mn;f8=4&4pVySOd3Pi4=ApFYX+}s-&ipmPJ5KLIA z9(|2-3YIuJW5tT-S}<)F(Xkfc8$OGjE9NbwCPma=^(u?mV?V|($u7+c#V~$qug>ae zGfeWZr{s3A$3D^&k>7bR#@xonOD20Ic!BqUMoAxQWV5Ag+|mkx9`yJ`w7RiR^wkq$ zoi2XSCUeWb;c{OmtP@uFpHra9mWw3q(*=uJm#EWlaP zB-Oz62k$hUWekRkdN_Ln{SbkW-1s%NL8IZR?VS4v&2k3 z);>+q)gC~?@g81|erJWu5&%rTNDC$%0faDB+78p2)DA#r3X^XQ%{x|KZ=2l68IAAy zv@~X5Nc0NZkBSB)xQYt&_Ob>VIpjEa-9sgF%`45OEpDhwV!tDqc?f;KdF8uQ$ICIL zsrdV@tLnk755w$&p0o8f1Uhna8+#5LpA&3lDXFm(NdfOs0X)-p|2~>u(V_AhKki#^BbXG^ISJDVWO61&MiN#vlzhWg zxFWHU`32G-vT7NzNn%4U>5U<%(6MpAnh|w|527&eyg|PI2*F9+O3OCsdg=OQf{2Vh z)1y=ub}CNu+0oEnrdcXy>TMVnqNma8VLD~%-_Fl3X6f{sMXkc@R}%|&7D3ym7@tmb z{^kVj(f|I-sInB!>{R(RTk_`38~i!M1$!_ju=K+e&3-#G=?wNy*qFG;WaCwU1RL$z zMXQaQIAcJi-2gH4fn4yh@XhqUetlV}eQIh73Q;7OqOKes9%h8Jg1bd-i;0O@1<&N= z(9rtmr}%>y0+#$k$0$6=znj8edz1co2J;gb056~z{*R_F0f)M6-?k+rO`3$nBx#al zOZF}Mz9l5tLLQYQB>NhYY$4f_kc1FINJ5g3goGr7B4i8SIq(1Yp5r~G!#3UROX|h;y!^z6}upt~i<|++V=LiOqQZ`yqwE zyI&o#{azk=iRwaz7t1AP%!(hOqs~0;Et@_WALQszaeqv96k&V85HW{?PX71&dC|l; z^2-_x87gEsV~~;-uQk$Q$Iee+xY_iLCUxSn-j1F2J}y8_@x{jQg&z(T3&4li*qw!X zx!umWrL+LPKg_}bZ_+Xb-PU`DQnl=zdE<(|s5Au%O{Z{&`5~%Q*8$b>@5bgYC2hN> z=$*!rNmV!GzdSnv^a`H~243iSu3|`&yp5Qg@sGq;&k(9El+7MnK<( z)Ep-ZG69WDBRi`ta-Q{RDIMZXY71?IRc0Rp9XXN}ob=?p`1Y4Qz*yi_P~j!29u`oL zm6er}vMDihkw`Tl(=|TER|)SbgP$z7XVn)=p?g|6ip7y_V*u_#l@a`8P5gmSJBA>g(>j}VWg2mmBaYIs4$EZ@+I#m#oZw|>6TW`$ zYlY{r@J4fxOsa-wD%N9sy}sX;`Tfp86q{t(;H6EVHE6vL4-2Don!#HT%+wEUI0E#m zDRGvq{{3@1g@{xgQwfQ!_LS2eBUP%-qhs1nw%ILO6`e?JN3c+L%sl}5U{fLdIMvf* z4T*(3_Qc1NT7k2kcxmVi)4uq8b=7-XJ6TZSyJ$LE*LqVJHXU3d@ zGy5%~809^GeK8Y!?!UPK5d{2*VK&^}6Z@mpXlJMEhan{52~Z=X0;x1Mj#tZGdDVDV zm2mgG6ocDveIP_Z=g|bQC8)#SS(HvXGPLLFKQI3H6x0ElXpzaQT3qWxqa2KLyOSuJV!6dWCVEJ;RCtvnx$1^u<{%Az=OPl*uMSNs8lv7Q zjY?jUNJXy~Me*G0lk^4GjK)?2KIhK5*Puj84hwhTUbl7?&RzE{tmOUP$r zAnSPx4%|1R=*B}d8^(4hQ8nGrL(3LL&CJdm8lp_?wD?Rg$cDY~L#RIM!f{s!0~uha z<38|KNz8=4c}@rPfPDZbRFn@&*i-ZnrF-VWg)3J?8ifI0LYadP1l5MPC>OnFlOR|^ z{rF>@Ad(92PMuTmGNu(fiCdVOI+R~)v#h}}*$a)00ZrQ;{SNG%=sql)(%ikXLvbkg-kVx~9BL+9R zf)IfL!Te76BA8JP_*|O9X3Xpy@kD4QB=Wq(gRwY^P4#>2@szRnwcS|u< zFBf>e%niNLRwu38Zj4MAu?`CeV8#f4@d68NyTd$AZsctMHv;g5*eiYg9SH`sw6s`R zFt^oywVs%oNxOf)W@B{i%mcB4SOWtlpwTnt=2FLxm*Y9c?EyR#vPnv2 z%jr{vvP+gkRa^m$Ss(tKhdhhJ>pbq|{uk1du(G;tNWDBV6kxSqjFghraV5vYRyxuMF&{q=MBzV+YZ3^n4ot%e_h zj@q@=RSc&OjV}Bzjh_5=OK}3}CQ-9rUA_6u8~i2>){2HKX}JusWXOQJFVNXYk++Wd zy?;UXN=~<1ux)mQo%{vfced%*uCf^&C}m&vkxyvraT31}_kGR_leudHFweX^kOa}U zZV^LHD`r?_cLvOg908A`(>d(IS1eUXi2ur_sen zVjNip>`_f-cSlBj?w)UW(lNecxKeR{5^dR(NA+QWjuF>K^WZMO0PyoacTOmEy}&b` z#DHnrDBoVx9C`@EaJ%o?+_m?8KT>&i@JOvv($QCSf%>DRkd!1ab~yto5GWhenfK z=i4THU_fZ0#P)<4gl5>Y|DaH67=WO9KYMmx+cTWG!$mjVs&^_#qHo1s zlpVVuEQ=tfQ1c7@mHI$M$Hj}s&j@-{ucM9xMkQdmwY9#-5O;wCRWEny*Dp$aJ#Z0J zuS?5Ff5o>FWpy0PVVHMnXRC)0djb_dRG5b#luR=deEQ@Gbo>;_9GNJZqVqR47IwG8 zDLO*tFHD{q{9E$hTspZ!j!qy6tOn&hL}}((;0B2r7-)U}eEGY!j^FzaqIs>!GZ{VH z8wv*T$ajbx*&p9YlI0_ci%vM~4In4@87lW+_!*tw$I=WC z8MB8~(bn17gqUqYlI+YtHo|P$*`gYph~FfGNC;M!PQxQ1Uj#%_XwR18b7tZK@vWHJ z1u=tUTgBwo)L06#-H=Up;lC)#S9>`&`B)A7WPAf( z`jLr0fBj<9=7WQNb22rpoTG4Pd>;pg4F|o2x$8~n)}S}K^=J}`)}vf3y`Mgz&6?t- z%IKgp*cj!z<2VIygRtnFF3gnjSUwSpU5wPwI6lvreqbcOUrY%>y*s$@;)V3EXZ;0h z!~y9VpS#Zz3#Z8O6DRh(OT!`JhY$_6J$ts&1g`zA8?r62gc^Y~*VtT)ATr&OJ-~Z z%YUpvi>cAKrL_#NZ;S@D5Ipq5(QhUQ_76|uxy{wys69fWsqJvzA?Ym@tHJ4_UI+=6 z^K;X&V(>D2s}H2@z&95G$Qpe8NX~mWZw#$j z2_@YCZ>+=LjTenVqM@}>9|7-V}A^w z4Uf%{QSUaJ-ONvLiy@Umw;O^PE;`0=Wy#y6 zf^m9|II!D=EtyAQyI*DAW#YpO<&rfsf?T^M%apV7o<60H;v%ZT6~o8M!LxVQu;iWp z42eA#%58&^-KtQ!(LKrc+7>7ZKZBw&dlrTvr8U+$1w zAgD;@c2i^w7;I>KKe|XLEPh0}E^q;4TTpU}@D>(pFM6+I9$?~gPSNogxLDC}8T%Xt z+p3Ef=O1<%tA_MAFCuP;9Qk7A`M@o;QMegIm~Y@vb$pjxf*nt`Q5LRF=u@hIZfeF+ zjKdu=ziXgiK)4K25ibl@)YYP=Bx#@)COh0f8CTy+nMeMdoUB4*5uV@{9nP?~cw9hD zVDR56@rkG^hn^DDLN`-n0Ox_Imf8ZD2a_Al! zeV~q?%BYol$#I;+yT9bx+axG{@eCTd(Pgl7-d}k{C9-dAJXECw*$or4H3dMvrwTRNk z_&#RNG^*1y*VCFCUAdC94iZ%vU8yzWuuc$hJI~YY=VcH{;XiH>-Dz#l{>Hf+{!D-f zOrcKq*dkOQ$F|{6=F@uAZOO9LL|Kt4sBP?<^3GQyAHU!7ks|_SoZDlXwfW-Tw`v-6aq{fVo-b1ouwhp#=!pzbZk`~Y6myRLL42~j zpaDeKINwBRe&I5Lzl!Tm9^o6@GAV?CQH9Z&Q_(N72vhXcmdR#nv@#0z_Ew|OCPq+~o9cn;z7%IJWR2c$IG zU7F{1R?EQ)T=)t1SaHa>+x2{tXGN&$aOY>$QGz-aI-l*9!{w@PCW!T{1*oR$HQWyI=*jS`$M%TAS zFs7JToH={(!&HOIyHSte@<{y13rx3$; zpDSf+4=(?3ld2m+4NmUmbmY1CPJHOhR^RNFlBpi%xU0*@+I?9QqXnGY=$I(txvoMc ze8s5+aJKUD=(^->N(7GQ7r(V{O;P7X`*4YRLN-d9=QTUr03GuR?A{cWDpfN&8=Mgh zIQ<=o30vpti>&bJMxXfl8CS9*$qX?YhiwGenZH6+4RKO=tGxgMis@)N6gH92ChhAf z!dwbKY2b1ll7VXT@(_a1VCS`}_Z3x5$bwj^+w_fU`UAWhh3z=)9DRJIp(2ZE9>t)I zBMW<(FP3buc*{A6FMOXSMoDt;fuX{&{a%mcf1gm1w+6Q{*vJBePlLtT`?UIY_#6s+ zJT@lvDgQWcELFxkG_UWE)v@$xJ;>a)@oi5X+NMrCQB^fcnZ~X05*oCBfpAqKg`VPH zpPA{IbSFv4th=UzEcW=fywE+mX~!3=_vWyAlf+(wwE*9w)`$3B znBOgY{P+Rc+1iPm$cxP-3bi<7abd{>Ud@6Y;P+-mMhGmuD6toGlD8Z&5y8wljxFwC zuynVYoH0$t5e?EEFiV)&Yw(IH~L)IUi5+Hc4>u#kt~_~?uUy6U<$?{d?6kbHP_@` zkk;>ZJq^kB@CU*zH{`XS41a-mL;dkJVE+w)fyQC_BFs2MbEnqU9oKK1mWW4uK(_wv zL*w8wzFLJhmLO|4r1AQX$y|s`icr{9WkSh%M#0VSo778PKiv^{4Pws|CmY*Q3osz4 z3fWR_QR_Nq3*{92>UPa6g{Ir~UbD5eees==5`%T~y}Bit=*!yYOtupgQXiFI!YJ^Nu~wbDBr5Bfbrf_CHD#9NZYlKgXz<%VUnF z9SS_rU=4Thi7&3fFs~qoH#o2!_cS;cPi$X+457$)j=WW9VlXp8-2zAxM#!nj$-bKF zr5b#Xi;7}G8aL+^HV-7V{paiqS^*v6XN2nK zYH$3-A36ig4CTj<|9&~Ihdn+TxGyx5_}(MEI2EC}!dLk}1m|W%kGNK5XVb3m&ZTXh zo8a~GULP%YCKEAn3;V5wW<}YUp`ts1_83$4pWJLZ+lbfp64hsgf=EoIpGl{HP$NnG zeiQI%$=ku|)g~}_9R@mx2{8URf#KGzTZppj`S=k~{@1VEt~*W0M3f^*Nlh-TWSVqM zx(l`;91gI!wXjoZ9}bBeBTc0uKJFNqG(A^!V=@szC1W1DY(o)S$}P4?vh1f50->Y^-nQ*%>{~h-C5hDI?94P=(ED^c zm6es5@W)?y)FglzI=ee}N(k|5FdT-3(ZfNi!@n+{VZs~O1<^*j&f`1 zNcdoExCYD%q8kMG7xzU*X{TTRfeUIE104l;2Fio-$4C+bn-V5|k-{LTmtlyEF)dIv zTmYnu1Iz-)_vHAg^XJFpJckN9olji;YI*8ZIRXvR^eRw%2BR6i4gZPX<3Un8v|1Y@ zJN$2wT5$YVdd+=nJ5~oM(*=FQaGwFrz;jqsx3Nlr$t(l{S5|7M{T9DSr+J z5ioX?$12u?hr?#e9iv{*^SH;k*els8WZiu901;F1VbS(ycwJDK8|IrpwRGzdRKuEa zCIvkuUSD{?=h)_(#PMqmL#3ssr=th;NvN`j9ICzgN9Pou$Q_KcVFx5&c6ZAUXH8Ab zEJo_Hwa0=Fb~tEfZ$2sd6(4xZ9?=&#!g6GO3o>s*0w_ z!fgpq--^Kw(9|AF*Fc1ZnR{4U*Z*EZzOU2jkiuDo*(pJ<2e}G6m9rGdL_8TVB~dKo zm6hzOor>ho>lb<-9E{3s;~kZJ+B>zAF6I9Hg%uz0xU`A0##XN!O5s->!~_fL8%pyS zGdd_m1S{hiJM{V}l2xo(n6GQFtq%_Ru2l32S(QodjKSX+U=KTb?xiJv{Kc;|z-=;0 ztpg26%j>`WJA|1Tw1Idude?5?Tj*f!fnfpjHs$483MqW{%Y5PQx$bx364k*~3BiYy`@AAbDg z(}RWvSg8LiF=JBC(h-6w(XS5vK`Ls`)yo&kERwUa8DPb?S5Gg<46wg&`F07E&p2!*)&6F2dHiKa;m{$ezJhk=e!jFxZpFi)qACW| zTj*3(JGU_f-SDlg++#(k$-7CbG)D7EpHNxcRr31(YXO-1ZZNoa8NEn-q&e`g??!t3 zRX_ilxYPl*yvQZ#Uu&oP`3^bO{9ZHf7{9K(-&z#P2o1isEiF`AseO*nXYULN!{-uk z!kjd`m4+G)9M^Qyf>VO5F=UR0@%elawr#40nVLiX*KujcXZV+^(`y_ERGZjzspqi^ zxV;ACvCB!E5`#~Uq*NObnZ`*OMl2syCZiW!NNRmuC5 z89_>_Z)|ROq_}z1(DD4=$vv;G)EE~WXOD(9q;B-K%+u#o9krr=kW|jv%ozVq6;{>|2 z2J6y36R41@0(5DUMG8&#GSGE(cjGRGPx!hlof1YZ*Jx&XJAm`}Qn^U%Etyf{?tDV`B}G5Mf%Nbc$-$+kI)_byL$ptJXA{2dj`i#oEIZq(lI}M5hD?J^C0B7`b_sK5YkJ1VX=junHj`YXu zN9k%t4k}D7$TPj4oNQ)hW-XG+bN&0y;09MrwWWR2{u}dH`hJC2S7v4^3bHLp`5|2r z7F+td9KM4GUkNiyF8~s{$sSP&8yCa~$P2jF{-f#GORvAv=JkE_34L}hj>BJ8=CLm$ zx?WidiLh7{*M9S1dmlue*N3c=Sn1$Uye2(}WQJs&AAktHTw1z%OqPd-2QOl1?E80} z40$;&mdgXr3o|pV`^zo}GhYUDT3ucJ@Zsw*w{;w_6@4zCX<;Qn5CmGzF)gsr2jl+m zkWR~PzO8ELj=LNF!rvLQ;Hbbs?VJ76bs=;Ox)2PDz7`9~~o&u%8wF2zY) zI@9jbhlyIS=Wl)v@%QXgP0?BXa+9)#Q=UBW>Sur{VHTsMjGpz`>`F z=S4crM4$(Xd;D3*WE~v62$QC*s*Kw6A8Ma;!|EM)IWZ}TN5;eD=g0i@rTT<~ zkCY$>DXHstnhxow`{30e;t_|pE`N78k8eWU{Xduk23(%kZ7deyaE~~YuA!ynJ=e4c z&^z`c{5$yK6Zqks>OAOQ_5*#5{TVXql#~<%J04>A2H`@S1|LpJf#3!&Jm82(&F@E9 z3MX^ei6I|wc-b{I|Dd-YeG_v`kOFBUl4KXZ4wcoPfD?}O+#eK@4(|P~!&$sT;V%gX z0W`IItoV*lrIchGU4+3jS2va3s%;l51fgJ4Cl|;)(&3F@16Pqba__lEj8#Zq&hBVsX z&hV(FzAMVk%*%k`9ith-;M@62b@;V4G$u+5g(uwWpSE)4UD(I2{Xqw7+3IJ$-0r^q zE;w7=+^#l^&Tgea+O@SlyaoW3o#;0+t}nybuY?`g$jIn6w_HCM8Jvx%K!FT#W*N!S z!0(YY10^;d9~eimEh4K4iJyDreY|XJ_A3!i9Y22W`Ez8Hi=;3!1l?y*#}UHAIcD}C zxM4@R#b7QO3<^6loK#;B%z;A<7vqCB`R?CasA~`9wy9>i3b)pdO`Q3BJH2%0#gX0u%=+BN96?2^Dz)i=zoKMX=i*Z3Wp9E63@Q$LH^pg z*@2p1Qh@3HCu43;RzfIA9T z8meS03Q?P4Te4hN?X!_AVt#h;pls0i*pDD_@o2SF@#`oX$Zj5cQL;}tV1GX55L*fC z#$e)eKp)z`-qQ1YG`c_WJrU12fdV-O5?QM5Yn;H#I>qm2NAp zlDD8rO3`6EM2w@e5lyMFx{QP`MUty@8g%cC#lUKyJv1QW6J7B3J#%I+X%QwDVGoqo z+OVTlkZ#1aYCXcxm8+uP1T{Z*V9D5}TD9-aLNj zFcIB%=SwH(0&J3-?7vBV?eCAYVb3Je$PHRE20md4v#C0req-8>m0?TCXVr?fp8hUC zHCNr-P~EhR%(dyb*U$5sC?F&Z=(sn0=i5&h zb8^Oz2lE~psJ4#F|NR$Cy4hqMu+GV)MIzosUBI;1+}b+U^}~k`(@NmyjsQu*seylo zzmKaKxg#yq_3NLs9UXHaGWA_GF?C?eKG(&-T-x^!%})?C=lnj32N{ZUDBQpU?PvTp z63%m1BL^{x5GvzI2dr~rJk678^E(B974#~rsqq0Vn#t`Tl8Su=Gdrcs85cd~JJN|0 zo>0?Ws#pW*4-E)FTL($5jc-xM5ZVBGp15aEh2Q!rh~9T#S@$dXO&YC-ZX54$zUJ&K z00CCf39W@)GQcDyx#(5zY&O~V-v2-#Hq4O)_63nb)Ivx6X}8o95>n%@4xYpp;px*$ z<Q<`Ng0CJpC4hhz_hVWa5X;zJY;) znF--%W{6!H=-jzy&mqibT51_4ntA$IW zrMP3`Dz*g}X5@hF&{{kLK8

SuDE16HEjaQC34_I*%E7-Se+r;opLyI;%?8k=KkB z!YQ{3a;kT5Ndn3O@oV*=oG8l!ja3e~^C(v)|fWtJ~Zbs*L!du%X}ne&JgF+4*&Ld(YCRz-Ct=gyg$^8Y)` za3Y8V-9fGVIcF^`7d0B|c>`km+xI^#4+c-WSGijprE6pg1(^s@H=wraK|R&Z%%L5# zQ*b*skKge9daSo_ueAL{o?-Ut=O(a4ZdJ&rlH_s_X7{U8V2!}=4JE^`Uzf6kas5v& zN(Tr}|N0e1l00zWB$=pkk@kbg1Ec%{YPaBB!=YiDFHU5}862XlsiAS_(7`}Ai_1lw z4&~I}b4>)chohF@0AcnD*A9xk3>IlBRvTfQ`z}7`4&Kks{7M*^WZ&HC)6X#4&)7IDDs@qM9dCT3>6!rBgoN4m&ZMueJBDPC$&ZBI7%L=~FhD?^R zItf|TApMTX3#CSwQ*qtmYYRtD-X)r%C_c@Mj`2lrP;*Z2kls!;h!)9zehN!J?;TKh z^y^AZNlEMP#qU4H)<0kLxF*InyVikY1@aMUn-Yi86+FzCok}f*wpN3Vq;iO0R>bJfN+O3IbSKhegemX`;2Tf1&g;$0$T=ruNT0#1!c87suBNe;F8v zBHh&B3$j5p#C`@=9v=O;hj8nOrXZiF`AYR5HxEzD1Gvzi4_q9E)e;G-#ci*Mk$v_w z%vXE$;0la|+Jky(3n0XmU6b*PF|G9rxv_lGmE{r{=o1&hq*c4`QxX0#1l--OcG*a zN8F`vcr)9F0K-F+7uIV9Ce217SM&M?l^LtzHDGRLg{J-_xcw{1KmU3y`)r_+07oxZzHgDFlMI zn9H?xdq{IZl{e!t8hdkK6uMIqgBl^E!J3bs|Idn#bQ*UAL85xQyV|HE%e`F?W%oEI zwv8d#oRYYqrh7vsxWS;H$1tJ!+7f4Gbf07U9X^h|_jdRpTM7U-+yU;Ni#N06{eo%3 zYyuU9H<)y7`B-s|AVu6z*+#K|ZCyCLk-D4KRZML_j6hfQ>mv|)WGJwskIBr(ckz}1 zCAI%JHcaZJZxCW2UL2*HX0n|DwY&knn=c&TAf*dxFkkw*_Ygs4j6VA}KOdjv(lx<8 zZ4RBJDixizvkdTwo+k-Zm_hoMX5Z%;1e^@KE7?0Dw0gp+AK_O96?@7LC;UOD!>C#?a%vN zidz%z+zBusn-=U2vO(gjM>V1&liId?T&wS)I{FzhlamdRky=@bckbOoiC2>?b!(Rf zpR#HvT|`KeJ>=ZLrP9;)Cmo`C+5$&D>gY`i{28anN(AV@ptUS6CU^}6bB(yN3tOO_ zkV)x|LI4Nq$$+9Epa_k(eXxl4!UXlj4uqj&VBh$YRA;$|Eo#&Y^D#z}wQl=(!pHtD9EMOaNpfK{238z( zuVgcNDE?sM6|TnFi43w9t$<`n$Ft(%;TO%|?4e2*6N|sHdv<`dHK{GlZEeOce4Co@6!wKMkq6; zl$$U7rnQ4@xMEaXdG*Mc-?r=OW+_rN3KNchlN8d{z`lVsotgf?p+jd#1iF(Dw|DpS z93(P96m-nR?2!Svp4M74Wqt2^`0kCbiUsQ(Ba4&)-<-$9GWNlzFL@uTV~U^Af2Hl5--y8S<%?Tzn8Qvc z48seM^6mTIEUeLbRBtC=!0avk08-`pYP3k{<(BSPQg`Q)^Tz!_k`Rd0)xA9UVzH!| zJ4x&OdhQ*dSmL?E`DwD(SrzM7d73Yk%0aTU=a?0OVkk%uf*=wT5*7x;?I4|b__luW z%?1ah4d;lHAN)y@w`qM>_D=f$`%C)_MyTgz+3i(CCRP6Uv)g;FM(+exXE1ikXEj5sYu^ItSk2rY=3JNfX1z{fKj!BJ; zZ5X|>GbHGNdl2cO$BqAP+&Js&dl6XG*+FP*PnNS>Tw47zFH9ld0_S6R|IQFWIGiz zC=s-Bane(twaYRvGc}b!zK_{9BwV9e5mqHXb<1Va$X|ruzJ#tgN$70k3jy4`_*w!O zJLkKOfP{ivofJ2`wU`1ofAt03jhHwIpPZo-H|fJktCah|-#$5)4{ru478lkwPA#%9 zZ25WBr*25!>iW#0ceZQ|dM-Yf*bVCkk+7HlLC9pF6xK5oiIxKp?u@Ny^tKu}y#a4Z>4*+*q|}hti=esT;^2$j(;snM1CIB$wB$||yIUHc<`t<4VuegK2`#x}wx=U{kZLaxC-d@`2zheBc)v0Xr!*z&C zU_%O!nHaLZG2_+-K{}jJScxpO-r|4~m*n0uRQh>ZGyV|hz2Y}%Vb*x^cXKyU z6^ARr>Ux|ph7X=Si#NK#8i3HALxM++&~m(z7u(w?jFiomWn&{F+bVT`7ye)pS972| zM{1*ua7w^)9zqO_9Z5d{J4m$J$s8j}i14>>2rxhGS@FEIG(TT6i%O6;61r5TP{o+i z-YFzQi00F&8gfQL03U};!Rkka$klPHy#MeaA4KW7-PD_x@${03AOrD_l}JH*5|HeR zM;U+dDKF$QXLdTRugpD|=li6KX@E;&jZ^1VZ@L=-&F|1C)}@`tQ1aTgM3F>3b}UAZ zv7m>QflhHS9e(>tOZs4F&KYe<0gR{_xfK;vJ#r&w==UZ77(#N~-MjEr!*JKt*B6^_ z3T$9Cj6PcJD%3t}>wfit;;7w;<4a>{25=g_eQy{^11g)C&(GsVByU%gKabn_tsx4tMGc72@15!6SMZ!tyVC}dD2O_6m&gZvnkbc^BwfEfDi6>c>fi0S z;2Vo!3$d*6y3#Z>lyuWiF!}t$oTKK?=rY%k;UaeB+iR&E@;430d~`GYthML<{U=)PudM zOwht){iLI!d;Eca| zsL0@tx+@pK2M$(37&s1jmDYgCov$}C1I6X#(;KWG=H_U=wuR*mM>gBGsP@|sIqzaZ z#_9jO+kk-da$&(sYM|oW4=PQAn30&+H0DOVSqldqzOKK1s!c9@`63&k!pxe5X!$4p zR9WzRlOs1==CEitLuCSKY1ewd;3fF&5M>gO zy{?u9aOjyup;nIQ(WC8Ci|GpfRsy?+u8)@~lF%TR2uk;H8L?5gs8{Ck6BiUPTMAX= z=eJHRzC<_$fezCgMm|cbNm&`OdG67hH}G|#On#fKaugkt1my zu?uqmynm1^XRwdTb$@&-f>D2iU(VwQerhlZA0L1i)I_7poIPwieIsrWgyHf`#gC1T zsU>{{+ZY)Y1$--eoFj_csqY-@?nX+Bi5YwQV1byJDsQZ5K~ASr$rm2POsnvseQ0WW z`h)XsrY(nllu_^Af9Euy@62&p)y}eog^y+8xs9D)zHl+nSze0io_x)_^Cn+}26)T4 zm4D02UWiyBFig06PhUWmd#zPQN(ypcLB1&6VPyRC`n3vTbFFg%^>V?73`-)D*>=||F^8_^RXHheWy)e8q40sc1z$$b%~Uk!SB}g_Jf+NLDp54 zRt9DotaM=`ys=1~fmH`uZ$zk|)Bx3hFt4{I9n(*hh}O#KcX?5CI% zve^cCLOexej?BNvK{8L4eV$VRXw=p*c1VBs;ChYS;rjvyFt+*^9@0*?$ zOi+uuR;%Pg-zYrWU>CX@+nqrZUFtSXRuciF$-Ddl-AmPf$dwVtL;VD3M|>T23*_)> zHrNYWGequU!hx|u132RG)2DY^?G+;#i{%y%OU4q240KTNpx)xe7hJ;viIlKTTA2^* z)tCG`hI1o3K-k7Ljx6*IV~xcLk5itHuu zbF2|&Gak8vv8kzhBUIk8MfHvz1_3n*s0s=L&?*1ZI)e{o4?6|#>c;nYu3SUKHjS97(!GBkh5@5-7Up$44S{oz z?qL{0%pNuws!Vo39BDf+nJN<=mX#r>l$CA{oG(QN0SXyL6x=IN&kHXr6280R+Lo1s ze{x9BO5{`OQstmPVq}voP6)Xhe<>Cl%z+u=7g*Eu>X6dF$J*M_vDMji2+>=x0)v87 zFR$g*+uvOYXnq0|I6D|IQ;N9Co=*KY1ZcnbSu6u@$GSvk$y1Cjf_8Fo}bUM zhS^+DR(@eoXh7Dft@TJPjQPflJ++_*>7Z3r*FjbuEi7ceo%`s~U1pwiNG%NvT%%v} zGb;rQq+dBtbrPq`;H9DG7tdVN)m>&{6_l5^Dl`pt18U1z>{(e-GKa21FnA>wLf*a8 zfpKEdd+*OaoP`l^V=1($d6&6)4m%>eA{%*J%#Hm61KG<#pBwB&@oA{zzKc@v zjlbiwakHxng6WM|$pXx%j5O~~MyME>n1E%T#GA_{&p7vX&CbX^% z2k&4Ax_L=SvEd&i1d4_W*gRyOaW2PSk6NVWKu$VQ(Q;%s1W$NZ!s2P{9`tZ8oH#TMo>YrzCp|_i(`1} zO-qH?)9-cAD{&-h%)FScpAb>w8qek)(Riynbg$k#Z|x@fd(zW-rT*P z6h^D?X3E0!Gvg6HFhg@q=7TWz*ghPTcp*AYaePqfqo@^>(6zn68gXSZ7&+!Dzib#J zIWf|Gf3{k&{(#({I|-`*o(yo+jt&kR4dU5Ksa4ZjgSl%o)w&yNoeLM^Df1 zUrF-=PXN|{7F4Fu%{4IdzN2HwyA~*oe8w?3Ijk6Wlagrl*y3B=F_o5Eq@|{!YVn_+ zKL~p0WFhK>;7O88&s#0bGoZ#53@#|igt-^RWugoIIqq7{C^D*r{+=9TWQOV5+r z5fye%`Wg!3@&_-~LAn5~$RYg{R%Uvo)PE2RycwT|Bnv{S(^I{BevBiW7RrC1oV`O{ zCud6yWIIFiU%txL$TA2^N>GUiwqX|{li8)+^UV0@XWwIZ*S#+(vN{O$A&|VF;U^$i zFZ-{Z0Vu}YNZP%L)NJ)@+j&;o&QZ|WfZdOKr<8su{1kw;^T_j0v#?334)r*f!;^cO zXn$iqgb~t}B;4XaZnkqpA-U%E~CM;9Bh+9phK3sNU-5cH=(4U*97lZY76^-qE|OmGk|S zfQJg7(TzFYs3tT%Qh(i^+MX`&D=kZi-by7zbFxc8G3046qcuA{@6kKoG<0-u%>p7u zq?docHQ~|&*&VGm590L;UZ4vdm|XE5<${|9EKMzkoX87|-!{cX%b)i~qEu|3SDG2FOFv^ASO z(ps3v5{|iiS2dTP`uTwk&)o|esIdb7%tW`@MN6$>t62V%{&~VW9*M{YU|z|tHY5fV z+^m2+#))-=HOhva+g``i%1Q{4*Gx^<4tZysXJ)-rGFRO(4#@*=ESagBUCNCwbJstS z)?wHC^1j}9g-9#x9Sp6tDry^JjZ*Q;=$LeegT7vw?PwtG25k+j`=CF5FVS+_6br<~ z$De9#b$w?AL=q8+IGPTfRJwzFKhkct^(Og5f$%{VGa%>a{|k`h;iCq=fFBEM^U(%^ zxP1#Djt_q5vuE+?)2n#6NXX!uon?Sx>*~hIE7d2ntVx7f@7he$tpa5EI&3O1ILEgJ zBp+u~;#0DmL9kbX{BRVdXBU|O8hkXJw4utdCD7z|?iHP~H8k@trk4J``fuwU8Cy=cQrG4BO3OZYBkdK(5#^p`^DS!Kx>lRuik|F)s ztVM5FE$}2ke9mm0VYsA`+YKPO7w0|jIGTw&`JmXQr|(~1I%`z&Fvjy2q+lcWWkq(b zczS;My_9`ga0-V&VGgD|L)P&MnON!YRx}y=~T_ z*=B**H4D#FAh>7m=ZQb5dGT0-xZ(Jlch%;bXTQeCmK(ORBjimZSP#F_+(K9^difi}#Hi0QgX`eCrmojgJqyxo>d+qOT#gqpQPn_zhS%W2%*vqfKm)2N83m zW4{ON!p=CcxC(nNBrABetgBbI2a#M%r<#7=1I5G?3Q`W;!_2eyF$|*~K@upHblTd| zZ@5O7>0tt}LoX?Wy<2oIK-7t)SVvP6*@v)h2&d@$2?@auMrHyZ<^{0>$b!UZqb!j4 z!~Q%#=Y0beXxjk(kOoIe_aj|^zLe||L{i~Pj#K9;)7yy({q$EOu9&Fi z5%UHW^HJ#TjfC0FU}A!X_tLP~pEaMo68~tYbNMv6<-95BDn68S!^%;XIKI~dwIL$oI$vKZb1pXO@p1&z&pgaxP zV(@_=$E_GC;K(wB$=IsM6Eaq`o7KR40m+}YU6t?#ElS2}pkINGa3gyg#O~!5Ge?SQ zj82&|25h-hfzLn!mMn@-`_9DF5@&qVZU0}NLFzkpr0>&RV;1Gd%n9%qi-{?QkjFiz zyZt8>5D^>PfV1MJgJ^e`5ssu@Ng8N{t0I%JB44_E8TNK?tiw*YcCfc7_87;qc!{wBn>`3VLO4!*tDu0u&s{x;N5dC_DfB_t zZvV$HjV5a8>LW$S2~3eZh~Q)qJFwbzCmV6G;eI$7XTP4Ky+_D0d2<3W75`z&!GH<& zMvR>q`VQKJ*C0#a&P1ye4kg{A?I^{#fLJgvmA#)oFXQ$>Jj5}x;(8Z}BFn0{CR>!x z7U$+Vj=fD(&YFd#2sA0W&Z;`bDZ{s=r6n|1a54O?$k}x%1w~PK+!hh5_SL-`i61wRlWWOl7+PICt;4g(@}E|)%hn6dFym=$e! zTZA&ZZGHgNIHfEK+26v%2McX!5aK2zyxzlf&4Q9t9@Q>!X69ApvXfIX?8?@$qt1pb z%ZA100180i%My-=4Z)zz7bk~$u7QBVNXA?)eeV#pAbaLm)n=_Sflowar&1oR{5IAg zVdh}lUt(!`AcM7Xa0|_f31oxUygJa;6=XxnK+CA6BQn~i?s^d1F&@J%67=tE58tI> zkkiPwh90N99Ow{2V1T)xZ6&^S0mCRVd0|8->R5Vn=JLphD?G0b4nOQ-3A0b{_u%g939Ku90)*A3MluSDHO3*3! zIxQ+?t$Low_u|sKtu6J9+ z*f)RFP|dtHdukIz0`DYGCD(o$R9bkT#-=Wu(>9c|ENNwK&ZtrcX#?D3HgAEsKy?Jb>6E~!C*qyu;VOdfJKAVvjUctNW<&mZfnk5Z zc3uIt9{*u>t5fD2OrZ!LWTH`lLgv#k=`u4xN(C6(IhidO?7_)?ca;poCAfQc?D}i} zz?_=Di+`(p6}Q)qFK)c7ob`W0mE)A!j!hLO0?bY~D1l^`(p|68#Y}&#Me`^IU3hZv z)ifm&g>V*(xWePQsR89HbkTxrZ4?PUAeMaNT#4hy3z6aXrSeMYud3WfFTBBUqnQfb z^WGdJ1RI_yo}9T) zXF_RgkfDKpFhqG|pXZmksnec84yA`#BXFZ$g0sb!+Xtp5XJ={mi4VB+;6;KUr|Zdj zt|@e~wu!yEEF+REA;W<|D?DliO{ltn!MGVOSeWF)z6LL&9DG=iZj3FhUH-VbTKJ_B z$_+5`2&l-{VOx_#4*>)?{pJ5{R@vn?&v4gJ!;k<9ABT2{xdQ}=qU^JE`g@j#;-e2X zYComFK)dj>WW3(CGw+xX9 z6v}%xP3e{ERqd-+wM)Avr?1WgDrRP7Q4_z`$6++?B<%{63KuD6LC&^SvLI|NjlO#!!Oi7A_BqT|tNs?sBRH1 z&4<;AjrfcZ?xDQL(9I|<#K$BoujV$uFp4Yb3}`N<3o!2hWY_rcCOs%K^#1m;yQ7wj z5jtb5A)!ka|JTO9_gZ9F9#O%Xsk`gvirB}xYwn9NHW2&r&Ir}cpzO|0^nAD+((LgS z3r2MAD?3qm*)yj)P5cm!GNo;~KmDO-1YKQl=ujtp5rqK-2|>HM{R1#L_l|2`zG&I( zXDrOT?)K#daRm6_Qf6JATe!{Y;&!@uayLhjYPBd;X~m>F{h65P^m zu8|N%uWJCo<- z?%Nr0;lgEuRVoMe#NBh=$~D^vJN_OGv6GB$LV>rA3yKA{{Iv@Fe#ka%*t^?pyx=f7 zy7ZiMl)yo;4jK4MS71Z{U_SYwCHxi8fhEHh84pd)Qxm z(fwfiQqajfs zxF|s>qFUE-1lvnIE|@+@L36@{wEXfP&pc6s*sRximM0YGT`}{`BH4sq=2rC`vgeY+ zD@Aul83f~Y%a;qHyYMUt6whRu#BgpP6S^NEN7xyey?2iu{m9E?wg|ETZ}}nXI9{k| zSP=`X>~bj_SuAnWx4SY7o!3I~1uhtO>{!P3FIM5NIw?HUWFE1cnJFn~wM36)Z~pNH z5dx(W4_=Vwnwl!^*qZ5HbpuJvx_I9)=EQqZ`e5!jSwU*VsoI&E4T>H_SV zUo=+y@of8sSnK1_qpQbSimd!Ne7u#g#d*{&{M5Ouhqg@N-939_x17;(>No!g(n~dU z_0t|@lO13Gs7xC>>xg!;)RnOsCzh^Qft%1gvAm!&`%UBx`z!p+#bX0L*6hfxj##+x z`J~NL>>uRMo%;NmT*GW@3yX&odiR{Cm`czn(2jC3B#ayRY-Npq$!K-yl(e+1urz65 zRkgX}zQ6pwFgG`|)<37Qc8&I7*@sV_P~P9fKzqk~I~58jRe(~1ql)BK-&}+N+mbr( zI!^Ikp`p}Htf#)hS(_-+8dBMwzkK%(zFIO&*mK2V$CG8u{k^;K=m&^1hg5lm6Hn`l z9d6)T`~6opB+B^Kywj`UXe37~2LyFDCf)e-?!$q@LygwGuK_Mho!vxs-rsbxJ&nbuQ3je$=y-HFb z`R>rWpD;`0%@L71(Lp90xDvv{ihV?d_aMoqW-lDO)j9eS*L=xVv7+pp91Ns5pe!s7 zgf3L1C*V5IKX|uYf|RQ%eN8|M)LBtW$CJhhF`FN7<)EY)34w0{tffc z?w{Xev$7gDFXknzm=swp|9(Fmi5R{r9qU1N+qD4di%K{GtU?%5R#{tLXT9Pd%)RL~ zC9mE2K zaH9!g+|j(^)aqMqp1aC;!^=ze?%fM0uPDD1xN1bnR+G*C88M5JY)p%W4m4fq<9FIx z=I!hVCG&tk&zqdhvSgJ+Eo{^TUM#agfn)p4DJK+wbHlME;KXqmp~28IwH;!-nI1B~b(K7MESS zGA&i*KKg(2&}Z<08nVFB(gMdmxt}+VwJ0Fy{GVH6)@Wn@(`D~l{`P(t6c!#nxc_X` zC7K7G$2;@I{Q{Dn;zMbfqDjQ?;fRh zn|JM6dScbJbvNw&JYO*VA!vlCQUiK+%SP<{)9iFaMUgoG<|;Vgq*Lv>i0URu zpTNUgnM^}!f7|B`@K6l^kB8b#pSBI)=x9&pk2`{?in&AUNo~iRLFb24DIz=^&$`Gl ziysXQAT&?Pq@0J?{$DLXS=Z14#XtoD1dq;7>Xxg(f6pjOVzmj1E_6@6bXi+gY(jGK z(V*i(5+`KDb}xNVT*v7pu$!6v#}8=YpZxzY0r!O zkrda2=Iz?C178LM`l^W*A-qd!5U%AB&vqX@e!OOTt)F)C&E7{eEVxU{N=vKoKl2fQ zm9|njjw>!M-{hboxiHS4ZNm&3_;4lB4;v2KN$$BKJvg{<|NRz<4BFt`K}weo_jB+Y zP_NwgnHF;wJoK4Jw?YHipHs`nQZd!vwU-_aQ<=VOt=2P+3N3Y%;z7sSd~zL9rL6}B zr{KRhscn%bq;Bul4A?2VDUoDhXjCBDK_yn=1>KzkFvYAw2)EyvF#6I={C} zyKa8Ztr5AFn26AMWx|P8Xv~xNpHIH8kBErzYVaB8%Y9;_`ZeY<>Q=pHsiCMzX#4uh z;XhMxQ0;R<;=Xwf=_YO}CK6^7qh}fScWLP8nkFl*7I5MGc`+{}f11)W+Skbmo6>)z zyfQ$0N{vTG=GV4PK|C_mA!(`rsPJ1>3+7MvYEG#5?uR>fj&eB@*l;&Be~#V4F^)93 zqM{=I_Y*_hxoCznD8uYh?{59a^upq;yZ;^-;VIQk`W-wF%y6Hg=B}pvfR>NR`IA@5 ziU|WA*)3k2M$s<02lDT~rAs>mS@Sxcg;OrRd6hK4dhqp&=~eCp$3mU#>25ZBO0c#xl@JLIdhX_* zA7HYvZ`Ap>Kepv~*Ih}FIdhT2E4Z+a&*=ewEfbHNFW24?a44*2_54MP^7kzfdr(pM zEn=oaqr0eZux`pRtBc|HK2*xhnI+NSE7Tz^I`R3}R%3-JuOe=^i0;9V>k4Pv`^TsI zRK{wC7;lFQpxPC%3F9qKVuKJ&IDpBWfy$&`kRz`h*bn`AytUdpG>$a?SbIvH)3Bns zq}dCAsU#ac_eu#-VZl(idF9NBx{{nMIGE6$2;d)zz#5+~KkmFc4N+`oYkP-#k`usi z>xYj()acu1pdjEjs?OOZIPi)>PcTm!&2jVJe14{~%hZ&cE9-ND z#jIm^xy`dlrlBPgF1XcL& z?PHVg-|drLwHt`b@|4c{<^#?J8}VK8Sr2`d*i)!f`QqA6iNj%pax`9h%Y>1w@+ZnZ zmFpYG4;gDaQM;k;etjEYxue>7b4$p6f%;-;--<`hX$V<~HbFoLJNW(cBvj74Afh)+ zO@qqai1c9_p)6II-$$A8B;94(5ZYs4$a=R?UQtRH^Yeh(1iy%Kr283f@S|AF8!>-= zMUv#99lk_G$d4Sk)Y`hwl^vLn+}&?hx#Jk|lQIjap+qIFNkX_9+&RE}>gSHGp$ap| z(YQbUjMpBOQi`NcU%nW(JQzz?jfexq31><}j?i_EvmNnB^G&r-Tr8NUXw9@>;j*Z)Mtm3Dq4|Llz za%69dLtTK5>ZC`SUR|k~jK0Hv%x#|I_wtfpI@h%dV?xFY1}GYMs_k=1-6RMOsJP`K zHHhp9fpr2&wo;WoSOt8`kR!=`U+#4d_>lcMsMxt!ds%DpJ>l7BE1z6UiJR-|YZx*s zEW_K;WBTbUkC3d_;CYNLz4zWDF`R(uR}~dQSCO@)bkr)}`>ycA5fbxs(nJjQUu!Qm z8XZ?Yw4_}sxbgd|BR83Ad-dv}LPsdpwqDCC&qwGll8&8x(2TVwJ!EzLz0RSaxjP%} zC7Sju7eBY$x~QvGRr`;Liu{n^;~x=u-{1m5Z!N%5_w*l(E}K{Gg#ukLWClO&imd0K zb{cm-nrf-*3m{GZh@(JE*p!B*p`igh$*2 z9RVvVw6|<&`t#=xeFb_rLjwZ_D=RPwyQE~iwzi~u8T*1S(5oOzZ83WEkNee@hua9Y zMOSp|wJt7Z5!o&!T(4+uQ3=%esNm_Qtw_JP2vdnsY2!J{F<6uB+ov|v&Pgl}3JRh) z1Rv-NiVd^bu$LW`CBv)i~2VYawSi;8Biw*B4K z_Ty?JJgmvw6iq!h!vC0E6Inu!yxqe?Ys!>zIU~QrYtRo36E)lQUlDEh-Mh13m!2J) zryK<;Z?q2k>th5;3m5V=J6ncvkV9Fb??rx8mlJ4v#+DD36j)iaDW_=|o0@Hpf0NNA z($dm(Cvp$Y2p&sRo0!PkdX2qLzW_QSy-zqgC|GI9@Zk+lH5T!lim!$9{p96GgKv^| zEg9CRQT1#j!)?$9;(cDf{_nMz1>Li&is>T=#ba%!T!OOjs-2zLl09MxpB7#L(HB-GJJCAiv=wnCl5 z=SAkfULl!!kG$MtC1CsmG}_ zO-BbLa}EEUy(gG@kc{Q1VfB;y?v0e2eg49QH`6N-1Tt&A%w=1|+|(1A09Tw^GV((r z4;>PTyGi-eJ2PpViV6WST%3)yD#v&B_V_XM7*~E>UGvYj`3o2NwKfb3GWoOL`B}g~ z^v^AZyZlM$`=N1_)P?a2Pce=3lI^#H%hG4eoVmu?nLA{pyu4U$lwIf3>0_cu(jGc_ z5^n`e4KoI+@KX3c7i^O6uAbJ$#6y31~2Mpu80i4!khx+H_dB66U{W7l21E3k7)hhwhx*X%bp&%})kX49^u$jC*j z-}Kdy6_?Rv-L72eEG65$>q1r6h-iK%mNAmI{*g;tt7s(8FIiciuGgv27p)>l2gj#^ zf{U4=W@cu4Pn@WTi}weo{?Enbd}44lH3PEg6Y9(EGLX>OnRpSp4aQ<%$qApED9GIZ z`7@8s3<9d5!HvvR>IP73hG%r8PWv zY#%=8E%3oc&IMQ3eP&9RH*U0wpTSl_wcdL!CCKb7*BtDaQk{L)n!kIEmJH2Ob4xS-Ic$+clZl*(^dk2S?w&igGOe8D3BeaU zc|;RL5eJ{XzW%%XfZoow?@+-jnZ;pkEn)vv&E-ao&9!+aPi;kh+nr%DD0N5JP9XM%HQHl&@mR%`m{DPexTw;+hQcSXY_gbUyA z?}*rw>(h1sCqQ;KQj5$Z5!t&MdWGa_yy8)hV*|MeJzv@Vl4UH0FuS<6JiLtaJQLNkziT!Rrzn*o!jYWm;K71$$YNJ4{ zxVAc;FgGSO^nCkN_SU#tV45b|2JsueaM=eS&gQmz@VKlCyUL?Sk2crbS+;obR?>cS zV@D4k9vvN*i?~&9R|g$A{!FtubFyyVCbo=1V-vhMCE&7{7*SzoB1C$6dT>t*_jBTZ z$IO5~Kbs*SdS%DGeY_b10@vowZ$GnY6-GALS9GtZQP1`Za$CQC{(K8Tx=4?KtWd|T zJgxgK=^X6YdKJrf4a=94?16L~gx@qcI6LKW_xj!UZlBLTe`SoChhv}Cxr^i0xLf|~ z&c2+#xx0G(aJ5zW3tqzrdQP&3>OtvR8(w!+O4SR z>bY}g4<`URMv!eR;DYLxKE&?oiuD^d_#g&iRT0rPC*{>uhl~RzN`w>1A2LB2n?{fe zm=J#uwI5PC-;N&$YYcr_FIlP@deoWt%`O7%cGRk*XS(P7i+-H7iXUzV^M_aGV{fOF zU7&G75CwPcoHI0qhK2@3J_;bw!9#cL^mOO1|Mj7Nj0J7FtgtE40%{53MENkPsWp0%)WhSikF&gu>@0hxsQT7A%SubPqhF#C z^YZn@_)YElD9*6rNsT`RIt@;+nKIUmMQ3KjfDZ;#`LY!&Qdh^HKI-}FLotRbmWMYr z{LG0z+V>wldXxrMUD^-~Rx9YKZ~l0fU5?MxR6hLh7_XqHEVQ?W2a#;}%MUnW4AR^tK8!>j$mo#tXTHSnbj@ zd-eN;<-=xQ3=X_Da{gSVYE<{>TuG_P14QA~_h(Si`#RfROZ#iD;5Q);`o+$3@->XG zc$HHYAVKUZ7#7_o<33!Dh0Jo=xN%a9rAWn($)CI8L*^#-o%lxp(R+9ZO81`bu6Yr% z#g1BJTXWcTG*%I6BN+NhLgT+bTPGgNMvK9g;VDRl7X7HnHJm#2_q(ce31KjrYlvqk zUjSRXZfzne06mdZcrhTvN2QKvu2G><1w?(gkwXJ<$GCMtX`J$?AWgnx6E(wvWj`snKFxE)Q4dIvV- zQu!M9E2$>?0!@^>yuC-M{aAVQ#EIY`UlhK(^zZ-I;@Cq1FRAwv*N*J5iWs^?qvBPu zprj?#FSN*y78hCspC4h`MA2QnYNZ-Y1+_5VC^tv7I9}C?D_7!6HMzCZrj3x1$X{@n z5<^Yu+!PtVk~_nq*E>7UO0-$#zO%N%P(`xv(>7#*ett8hLti{y5_@Oyxo^MZa@!{T zFT%N>)J%dOM1>bdL=chj*fnv=$#w!5VmGR*EiouOU6;*r{6rG?*5D$h%Cv^um@^5 z@X#X8YMxJGtLP!JvbkS3EfoJ2@ywYFSy75&rgfea#bPKXQuOXFYp$^8LAHpQV{fsn zBA!#UlvDswQBj(!@7$J`Gi12frAwCtfIq}cdt=qvvu6Q2^Uze`;2t0@Dp0gAAdiB+nhQC`{b~aVjH#ErP z?%0U3hb4#sh+BjSbhpTj_BG4_hc@2bs^;_d78M2!!77jk&M2r%FD4ixsva9<9xNhG z(I>tzB2satwyti^_eXh!i9vr}$7DS&#GEsriujuI5=3CnkLmThs0D8gny)d)83FRi$MUNg`XFV&rncl=-)OC&ivaA<)HDe!(j4)ZxP(h$N_p z7M;@h3bF>>y$bI#GE>MQ!Rbpo!5$rLw3}q3HMBJCLxyl&6Dk9d+1}Fb|Eq=Q2dX*a zXAS7r-rn?1kBh5@D8dd*ardLHj{4aH2~a>l0Q$nii^asmXgmk?3p#AB@;Kr#1xdh; zvHqHuhtpdm1alBGYM2vW=Khb`%qND1)7$dKzcy}D{4u+Cp2IB$qdPdf;nVi-SICto z0L~7cEPNuhKe_eBeq#IaEoJ58z!(42T%vZA;>y*PFzA8OTXQ`{Jw&mSe)#3(CrBED z_9Dskp=5JP%3K8~<*ap2Vn$!nm2q(eLR0nh zPM`-FAx{Q0cf$S5+EiOuPgW5nXS@DfA?1p9?^bXCtXU(JcgRec8Pyl9)f)9A>-^?1 z2mtFyl=-%uJ3AA7M~2zHsnNJs-`p9;sKIsq{zf9f-nBZpHp!2kJYnt)&n5T#qGJ|o zsh#obLq9Wt>)8YXEq6Bs59n5;K2ewc?&tB$O(({Zq(evTPBskKvx~NO<#i{AR9&97 zv2g$@H12w==(M8IstX|=4gCMz<`uyojS=pV7 zo_8eZ34Z-rzkcIF3v=phV0N0TK}p(%lgdC|6xT7BVfnKEik-EM8^T=zZ!L8)M$O8N zLf1{X^6y3L!JYv@CQAMK^*bFG*HoP|k|T?Z3z}zMEJvu+pteFOW!Yfz2%8=TTzZ8c z@5xV*S)JEKh-V?#EV5jnjhwXOuvPCEUO9%z3e&-n>sq)TOtk+YOb^w5i{FcJH}9-`HCuv}l6VM1{!N zNlUJZoUE?y zGwKM9)8?N)DIjZK^a*60q^9=YxdIpihgwC&E?$~RM$78!p_4Q;jJ%p1dG*$w+qZ5N zjExo5WE1cJwr>5!!$3-MZDoF*APRHMefwq0iXmi6h(j~>M|31O$)A?3zSFRPCV|co z;E$x$gM}_vm*?n`ajmP%2qQ%pG*Bq&2_C5+8W9-;V%!O~8$3N*IS=Sn7br))zPd7& zvf};S{zzaLC5wog-oUrMk@3gk;}u7aT!+dEVZLP8%V*D!f%SCBqplquGV6ziQjccA_ln}U zIAx6X3KM!^RBTf)^0Sj_=?&pk5F8cIojGArp#tsWJ4fdbsk0he_+G<}P z@0j+R!okmn#aS&)wj}^_%9O>)Hrp%RQRkFzm^5+Hd#&3hO78BgiT!iWdg!0twc}Qw znp5Y5`X-?<-nzAK04YQ5?K^WrEF|YIUW{7qMp~Np_g^B}&LG||UJUmT5($34%)UXX zq3yeKkcml>P1h3_OOfCr*KqE4bKxiA5pz3gPKyT@dgNbQ_h7^UZsUEOow!!1in*we zi;{Wsp`#Y=DjHGkDkLbajbC59+W2~} zm|Qz|JU@9tJ1PMyOUo5Gn^QAV1u4HAjIXaOTjT254rf5R-!=QRevu_?f7sB} zRk^Zz5;z;D8yGM@6u6qhT~AMs?xOhJyMO##P8OgFSM3zNFLIP2G7iZz}H*s?zLrCsO-LqG(?kW}-FF9*{KIuH>Z5cVajY~5uQHXputEdQ8l^@W66;4 z{?o+h!JF#vYKnUGGarb~TxHOlBpYLMV{FtZDJj>lYZ)0CjU6i#X2uX8vC#%EDah~M z{jhq%c5pC=VDdKEwzbnT=qCU+K%+{{7Z|fExCNG`u828$6t~;ogoK1S;nI}f40nZz z*l_Pbl;)~D0lz{1eLo=~+!-z4KjfPH`TLjIUV0NItY@GHJssPagev{rf36dY%3)3l zh{+~ws(D0`;trs&L+1|dy*x2<*~!@Ih@2BAPs)rQy~)XG@v2q+B(fMA=X*y*4a%Cq zC4`>C$;l~mRN(vns|5&%ZKnkAATpwMHH(E`3^KHwIBnXLDfQco4@@lS5^gqHS)lZw z=dr$bXI zV`G9;+Sm?~D7$L4yZv`2LMMsrS;(qulP_zMXsVwR%wo zeEE$V&+p&AP@*s^$mB4-)w9+wbXZ4EoicE`E4+Ph`0$cQ5Sjh^MahC7tVu>pdeo@W`d_q(#1DcJ zlz!SqQ_hqjiea2Av`nA?^A5@c6*_Wq@<0UK{QXOV2Mt2pHVI-0QU!_+*(3=62hL+Y zlmcY~51)ITID17YDRe}q*|t=D%k1r0vQoE~DM$7GJF|R%=|onnEj)UEVPTn5O}=k$ z_tvccSe?{Jvx}{X=M3MX^Rl#OxpneO;wFa3>NF6j$QoqE8m#;I++d;4;_)#jPf|2~ zFr1qOeFCIzbGcY{!f(}j)=-r<(29l00Sx=c(7GC!ZUc+&NZ^m-Y&6H9G( zhK;+W``WKIyJfjUO3Gz7oy+v0d0G4Z7c9{6N*kdM*rjk`ji2kw4b$SEK7CxaV7?Ww zEf13ZG~M;-&aFGAOqtS?C={N$X_G*Z{QJcsviQTy@G3n8%_uDFyI-7ouO|E&ay0I?{tW3H z)bVTt&U!ShbcV-{A3rmFJA;@g>ux}I@Jeu$Aw|1-?V7+CddwouIG_iLlrS=ZLJLtD zZMPuXEqK7tt9a3#JfW=a@f8_E$-*?&kdQf%_hLvC<_kg6!p2$;Fy$5T?e`_$>)13u z_S7k_8LJ|5zMw6}qn~=|5}ZQ7O|Q)x^IhJ^aoJ`wnFX3iY#vqq`8 zJu3{Hb&iDa*R=@%LXu%pJ3N(!i5kS!?0Ui{vQ$k>OIwT{w|?beBfr|K;%eW6?G|0v zq3K)t-+zG1-vD1|!zQV#)osfH&!7cwhu{3+zG;F~i(<79DE#?*_o&CbyuA2}M#;%h z&xenb)D7kJ#9@DTv?AVNiLLF&58vJdsO%5yx5M7P5^@UnDbKV0W9e{ICqI8)Eq7yj z5-9=92uv^yzMPVBZDo$Gx{l}j6RVBVsM;xUeCw@y@Y}qi1+&y*;^P<$rDSpG3DUPq4m3t|5+YJ~8U07_?ZKW=IVo5Zj!Ich~oB#COqqlG6zUf-Gz3vOK$yrIr z=@&;A7aeST_yK?J7BU(cGOO)FvdAjC|NbLNvY;G)(WgNnyv$+2<@369l%w37ochX+ zg@J@0B}7wCZ@`!Pj#~SK2NY#TY&VtQZ}0jrv`=2LL+Y*T*NKGH62#E~gX{^sd)}7V zsW}DpU6M)&hfzhJKYyOs4IN!wLPj+;uOYXbZfH0>>|U?7U*Aq+KzG$eXK-aA8v{H| znK&suJ)Ji~_oW~$Ei&;$M^mlliRdq$JaDKh@P;2d(3h85^3PdHthc_$Mbe z2v6qq>y_+uz~YX1ku8rN3tY(rLvj+~XDKNz&h_eX=f=Qp2oBBE?dm)~!|2jGoMfC9 znya$!O`C>*Ngu+QXz5YIhK-R9Up-ERJc`b)0srE5XkY9YIxCGy7qQ}VWgk6$T$|yg zTi3fxagR?`eox8E`H9{8cW4&{eE8wA#>B+L-Mx`76Dl^U1vZ~MVt2FY-S-}VkZ5_9 zI2hQu;H2o`Fa#K>i!_~nKac1Yvu%+Nn zOvK^KTF?;@x|v(*vaNQd2_Rlx)-bhqDX%tkdl`!DG4fJ7oVj?T&WfoT3ZbFhJ<5Su z?%m;StD|clX-=BNJ?o>LFHuX@`XW2Wx zqrpaxhH(|Wi~5oYj7og->>2uEyEI!Lx;((K>Dxc+=;_wv_-39x>-76|D$~b7h4?^Z z2Mtiw^O#$;qQ&M9Ce%T!0)r%v^NHkk{XE@?JJp`Snsz z3_bhm37#vo+fRJQ4P$YniJ?VKqWUfkcYD7(ZrYT~m^aEe{ua_xtYWmsdH(TuZdiQ| zHj9G-c)9b94dMe2|MCqPQmQp6kLK_OC6+eOq(TdcXmch`SD-}Mj= zp;M%jsda>+Ea0bd!(4m*8}aH@@gMelDlZP^Zz)Fk)wt3;T^0t=I&xzr^d`hYeL&joML~@&!rHxm-@NW|rMJf9D(l8bddDKr9SZ{AW^VrPzoqlc%qWzhG_f{a z*ZfAKm!XHn+nO_kTnYo9K{fbQSTVV2$0GE<~s@hUqq8$4wvzbkMFn0;f|gKx~H z`ot{(>6t~b-H~Ib9JN0u`(|~cN!z3ood0^$*2{?bSzHV~);$_xxw&qc!;#+o7Sg1~ zrReIPvbq>;k;GV_;JL$_{}^38-~aDl<){bLQW7I7eRrNn?U$VO^Vhh3K?$;>+U9te zro2LCV%@N9`>tRmb2X_W0b8VB46dHvilZ8{~z%k{Tc{9K)TA@K8l z`dXuao_FQtQ+T>Hg+>}b6~sgc>+F1dfv1)D(PM-S+d>J^JT9d z;{}dcWMG}xwk_NHx9f@(?-1VOwL##?kPOLDqnHrUsu=KZ3Zrg-=Q*u7z#l$+%Dgui z*XLks9{TT&PFQjfx#fA*5ctFqSk1_)~*Z(g{ZmDWCb9ca*Q+m$&mQK|Ztgc^P z^1_00Y{aowy>_Ng@?{S_d7>pc@!F+7`%84Rs(hWe5|MonB}NPBO$`U(kpB5m+N~S? zdM4z4e8HJ@NiKINl1RvQG$M%N)xCY@eeQiKZ=qrnwzu>CnEv0|-1r!rvYulTAtz3q zI*IS>nNIp-!Ea8EubG+fNs~XmvlKyd=t#-QfM?Ylsi|O~ zbJ9!&wT@~qA?&e#caIic|MDBK4I@b$wK`{;yq-A?t9DKOc`1@^dR!nkkvPP18Ulv1 zGZc*d)!Xz& zCCWUnw+H)mJ+1N#g#e;C=*|ex21Vs99xnZe_6+{s{mo56?N;XcWL&=djqS;J9+oF3 zcWw5L6pmeU6^liS&_g%J%PspGE-gHE>{y20)YLqw|8-@PyV%!a9GMRR~#L0 zfA{)v?AQwn{;O-juKcY~q*xif0L?ZaUdbE1L{N&sksc5MHrm%iME^e~cdOcGNiG zxr#K(oN)3|VdDt1|CSq=dGKI^(7%6L_KnM@9I#8-v~lB)Z<2Dkt7}#z+Y*CG0nS0s zcqvYp#zqDy4nk-$@z}mu-Km*Z&6JsxfGqRC{{1pC5($SVNp0&-Wi@4rQ<{C&^y$ID zdjek!h%&#Kp5A4 zIa-^E5o|?gY?d07!9NdzE`6$?E+XXSUh#9KmheAv9q1ZS_HxUzu~1BV_Slj5baoQ8Gc37){8(e(R7OJ8kdfU{E z-at&J{oo^xLK2JA*nV9DPVY;tYi*nscckLEq*@ zI+0H?pmFB+{wF;w7A|BuH4{?+gqZ6V5gc4JVAIAPgZ*abX!Ln^Y*g!GV3*V-t8coM z(_jD>8*ZtYfncK05gl^Z=DpSNF=QC6RFh(3)AJhpb>6&m$*tvRY5c;N-93$2ckkXU zjUEq%D{r*>Her^PlX+K`sdfa84jvM!Nv*>;&)U4Wz#?Kpt`b57!gY9vLtbMn#ku05 zcp6RntZiHd*@$4~`F8F3FU8ZK8dMVjGIto$!?@`9XBw_iV)yB9L|{LM4}bCUPX^BIeS_iTdB+k=Qu#@(lN{0mixX#QRDlQ%o85!`m zWv!Rj?ZjaG*0mqMd|5;W0@oFtK3ert%(eIO`or79bp!^78X;rTTU}-yva1G#+~D5J zTH((z#|}e&&U7Lggp_HgB4TxcdJ)@0=Tes zj5ug?;N6L!(jGDQP41u}{1AbE1o?LIk_%#k#r;wO&NA#7Rd82Vu;{>cs~ksmt#Ig) z2~xI-$M3Y<*mlXj)y;g|$=_I}v*y(`fdUKQ)(;)Ms&`R=`M3xK|6Kh3TTO;*GG0-$| zGL%s5aCb7x+tzwr4cKFKQGjexprJ00({j3tGRz-A3nd=mv4{l8d4Lko%=^Ri8j`ZO zJ$zu_JoE*)tjUj&dlFz~%#)sjyj!VD!vvk4n@HsKvAKyWvpvJgK5c$`E5cmm{=Ivo z2ZGa}Z=(!JqsHg)*sHg*WoTzV9T;JzjIQYVty??6tP~U!e*73sJf3T5z4xw-Io<2Z zbM@U(iqtiT>gjywkdrytI8-QNZs^{1+S|Fa zbJah<&`wNxUi9Mk%5kECk;g)fEOgMf6@GME2GdSXKz#KY+^OPb7w5&GE zcjTa;8K^{|?a)*qbfZ=gU>~3$fNfk*IF=0!b9%CjO_Zaoat-FoJ~PCUD<%R8-`LQg zrB!7d=YHPi%cD3sEswgS@R36m4QvU-9X71*{Y%C&`@!!C-%$8!rW%bVe|VViw^)CP z?y}};+3%#mnJE{3@Hn}u!jHkIQlbbg4_SmLsS!98X2#^R*0h1E25_^VGE)uiGsN0< zm;bjYJ3dut=)A}(E1+z&6=%*2aoL@E<%;UUQy;&6Ep<&7*J$Y#^)!fsoCz-$66)tA zeP^WRYHSb@qo&?3EPT&MCsY%_{y57F3>;LWS>LZ-zecrxxahsv+_|S>V}rK}6bG~@ zU|+aDSlYA`01PCZr2 z&pHd(1Fy<&rOsxS>+Cgz`mYPv??-47y=d*szhVuaaG**}oqDzKRZ>9Xx-k!Go^1a8 zdGh@EVHC|^q?_)wex($@H&oo=Yw7${yDuLcRRWY zxJNjEP44cktru)B6N~^pkd-yvaS4`o(%x^ntXoHhLFa=}=s(7f=jf=cdb3AAOb|T% z$k^xD%MF~oTahgz3UD*!@Qt16dyBx<=u#cg>pk^&6uIuzb$!2Fjgt^wcuHqr#9Vyp z%Ty%AM``aZbcAP(eEOy2-aVzom;8J?c$#cexjV$vtcAcuX3zbUk(t@coMN&1LD zdpFmarrF=&D3+6p1@EZ$xP9po$yhn$6K>Es#rF?#U=C9yMw$4h#@;O|gF*;h=y&-q z^*RKeU9+5$#b7AFQ>gn)I$B$Db8*dHB_3BzcD>QYv-;b;Wr~mD~f3PPSXM9*d$nHnI>Zr}_w~JZ6juaq`q|GE024A~( z|0mHP6s+8e+Eb?ZZ!CTC=n=D5Xr`3%L(P<_1#<7)dAXr&Kw|XIe|yc8OQkFYgRnSJ=6nNO`J*o`SE zc;|$JOzg>NqW%TPRaaNv*;E~SENV(qcozN+8bv{0i{2e9b~oJ@=N(h;e6T0g{;1sA z7^+Cj+puB7(x61R&A5WfD=WQFpb<+9KuqWS7soufCP4ign)1=3kxvEu`*m~HS^GO) zQ%D&eakEhA0ZR)ive~$^!&F7G@2LzYr+@}+lk5wy|2px-LCl$77A8k`NUa;7CVoVEM^G`kfK+}5)r=#mFbnET8L|85`jHu(D2s>)^KNa3LYRYnjL!|Cis0FA z_ing2S^|XCCr&JNoqM0EiE9ww4|(x%JKu2^<>x3rs%4=a$0 zpW_LtL4eZ>0&RZ$5Vu&UX!+38bF8}0=m{#4)7_pap~(q7 zC5dYhpG529pFY*ad769r1t~!=jvs&V`gLn{X-FOs5s}V6fBJ+=7d>vCuQe*hvc0(( zwMEwMzuH4WX|*rRI;+3^v)G^z?6KGCJiLgr;K49A5aPd2DS?7`<6R^OG2c7f4}tI-ZrzGZEauTUS68&08}s(W>P}pI$rl=TOS?{p@XTb z^Yh5g117;8K*y&gqdsK{lU8?7HxRYo{FfXT*0h#TM0bur+O@M;aZ-jG&GjHl)v4Qh z{!xV&-@pG8zOv!^;jsGgd9m(|!}tR;6ow87MJqw?2$rx@gM^nyj~e}sjH;IF3=(nN zwPPqWQ)Q*Ol0>WaC~UhNAJvigiIk-VQQ!Dp)EO;||5!TTKkoEtp1|ZNbH3R9kWgQ5 z@0e33Wh_3#OV@dj0hpeVkxCf3xeBBpwwnjYGMNG6=%~aKWU2`#fl=&?WrM#$z))vV zzt}HdG8_TU#*K2)(gdY+m1*W59Brtpt$pLtr3T8*(R!O#5Eswkv0!5vJxt!84}%jb zKQuMvZ~OG{s>ZLO#`4p&ov%1#K&8s-dmw9qQyjdL8pefo@AHQ&tCR^XC({+!W8eDcFXcNPR+6+deY zCiJbY&e7Esplz$ZJd)_Vv5u8v14Sszo~L~6<4flCY}M$#(S7}re>U}7@h9)&d5a{B zKAgf(%Ir$i*oB2otb2-ATH@6MKg%}HTQU=O3eODmYIebU0)`N#;n2dxY>b^My7V0x z2*kr>&fCH>?Z(l5718_Q!*vY}w_Qq)2!8*?i@-X&Avbu8`eaXYi;&>+mYQ2Izk~Qi z&POD3Kf%~>N1Z!&4mmyky6K9F@hr*DU%tc{?6`dP?0cG0qTW z(R-Bcaz_sIT7W`3rBz1C93FMDQFDNFI5&D*b2EB}pNKJ5=lYBoHthY!kF9oYB;-Nr z@x1e<#Lc}JIm%GFZ|G9HrC(gvb#?x2t8VU3z=DUq^->|ly(RUtXUz)qd(&0(DtB#f z@BGCYUw;1utK%0CD2EX$bxL9|2^we<$9RLA4ym>iLkb2rJ%t6E}F_y@2T;1K}B_s|rR)V#*W(~=w4Ie)qW$yX- zbzh#nFG3*-Wl{I}^DP{7cc`7zqmo(I^^7Xxobdln` z=`l$GyxedtdqV}P9%@LTpzc_1Zf2K${@CD2VKsGXIw(lR%a`iQZ;9+R`Aj|ar^7}`U?OJ?W@v^w;G z`n#K-p=6?GcwJTH&3S~*@5-v&?CcAI;8D&P$}A#VmSt@Ck5>HLoN!xeuL(r?^ji2BJjwOCu#;b zyJ#=tKIDT@I+8Sb%mT(JPH)SZh=_&x+ah)9*7O|`iY^i`;Cs<(YIg)WpcWXf>5|RO z&HwxF6;~oH3t|BWhi}A+eyFR{VxO@3;iKCWL@nYym9}H`LiN+lR&n6}HKV)VzLCPh+_Kxhy#x4D&!x2T_ z#?(o%$%Pwr;>1XrvDV#P+amcGM)7!cn!bLmT3L-vh1RTN$8uT;oKn`V-+%Q-p1_uy zKYu=GILt?}^Ir@Sot-USck*Or%QeqWOii7vs(K$0H%2Wke8>R=cJ!ixsL37Qq)rIp ze_jY?17q{#W<}V5E8~1p()1jC277G!acUX|AvN#t@e3U&($=p1gkBonmm3}Hp&(xZ z@@RGL&L68*tZ;O!1KVz@4iCp;ATAzfxbDf*q5gS0>wSMh}5%FWGX(;AP777nCWi!o6;h`?-RNM&Td*-alV ziqi!CNx8Of-`;zx^3WSR0hDQO_DHCzG>o8q2gjC<71z1S9oHwO&Hlr4p&*kx-@C4q zW4|(;zjZ!ysGJrrX1sPp#AAx2JGr^y+IhW(-u-06R7oq?mSw4m!hajJIbA}GC0>Wk zK0etiGynpjH!ZBJUc2dVT(EE~Ei7QwWHVI9O&>@6Wymb>w|gwGy}~GRLyKU)LHUtI z(ZD92I|mPu!1l8vP{#i=!56eSJyYymsjlQ&u@d z5t1a^?)3DO88wO!L9OrYBPS;ZOz{8vX{3@~XX)B$Bw8<4vt6}nmExu|Jrdl_4$GIn z_xLk!;D5&3svZX#3x~|2T?vOV-STR*>2(ndCFv1L6t+d)?jfe9riC`xKblo~V$AUfpNMuD@oBoT(l!7=t;NKs{ zWpNfHoE&5)%}kEaqS}tBCqE4kd5DIkcWUc}KjrmLP5fm;W(AG>-mOfe7aoQDim#qq zzE*=#N<4JSc(X_+f0O?2j{YtjFNL#1wR`JSQi4i5Cy;tXwTib9)!A^atA>WknJSFP zz%D}9p{=Kv@6&b}rpD1R!DvxsdHJuFPYd9D*tV;@%v0@t|J`lf$G5w4TEC#{>FJyi z+mJy&_#^8W*f)Onp27l`?!E@16E!Ag%gZf?QPc5i28DIMlG=CWSH}CL3=T7)@Ro?) zu}(Y5rud7X21CBL`S4Ynw#BK!NdZbr>}^NqocNv zk?MJyuT%o`59-mSM8A#h^wonV61W6%i(O{UQjdE1`gPI;m5UcI3Z0ce-p79Dqbm%2 z+DAxCt1f!q+4@AqzL6!7z#%0iY&%0VE~Ny9o;0dHTXEBA*ZypS1>p<0@NBU(KtCg6 zV3&RQvToC+h?077Vb?%DinF#*j}gcWbp&t}huU8Hh>#E}qA2s$&6ZF@AR8pJa@gA0 z9k*B4#p1<*+tD#VIYOl0)B-+>rE7t)$YJ+8JHAT`n*tGT-?}4rYkhWT4&S^;4==X$N8IObsi9WP+569QZ-&g=2`sN7hliYtVff$>%Du(ti?-~BoaTPu5Rx4 zdP`R<(NgeTW-C{&7(Sfe(!Ke{f6wez*E*Udk^7ej zr~;vPFEc7C!w%|bC`p&)aNpXuw0UVyBm3{Sq!oH-%nAbNO+iiu%rN2#_?+Dxct zA%o!{L$WZta3zA|;od?L2KK-XeCBqO$te_81O9Y%WS*YQ{{ad`>j5KZb&;tdPo*_h z>@R+=VC>_GtOj76rSzIhs7W2Dth6_Z7tmlsLbqcDrIXzg zCQxu=yWF>TpY#Z+ciB6*1jsWEdiV6*PBF{&fqjBZAe#iW(zln%{D`toN6b}(f<`rO z!F9+)CNPXdYqcYK+Y*1wde62fVe-3%x@BUy#K65tix14z-c3kIZ8VsThlT;Hnjf;B7nYrq@Y?v9V6FtBGe_ujP569)^PB_6S9gyw2j@UFJ zI!tGaEJ(7^kxgAHapA>Ru8xVv+Q$x=t3=FokjaB54-G&tc1%ASh7SJAqFbXcsXzyx6(>8}pi|{-Vqqjs1oTB06l&mN$@TPf3Iz;vYHH z{2@F@h*{)>m}mXJ1pn?$E49I?MW}tS>U=03%yi%XCG$$l%Y%b(=5rH(Mw+YGut>00 zA3S)_=T1FEU`xwjvJ~f=okPeP64GBbf@n8&4Grl*A$6Z&1a9rzdDQ>-OWlINylpaK zBFZ9I`z6D;I*oAi##xP*5XISjd&TAe!}kXdKFZiwp>JTIFn!y-($axf{_sILG1iX^ zYxbHU9E?RpBJ7_3s~jd_d0{pJ>&wZ>0h6HkZ6T0=oQP5vP(y}D#aUgnNrwF)!sLvJ zmR3w(31L$~9_i}={rkt9It4!1Ox^jvkzc2=*op)%QP)j7T3dIsNl^Gk znSUfTgi$;za;86QkN(nGnWji?AWb?-A_mC|o0=(ag_y^{Gk?*-q`gC~rKVC>4n#3D z>55H{j)&JQS65Xcu|4!X4VV{}m68G)`H1p>mk3iYCX#;h=J_jE+= zCgutj6{<6my3n*pha>KtU=+XF+B(5@q9EQuLV~o}%uR2P$Dc6ND(GFQT1Ej{RwhtM zz|IoD(cVeW+EeFe!*t@?-pbjSUx|Y`(L!^so;(fw{-2(C(6V=+j9aH&DdeU1mKOB zW%d`ETUfF2+;y3lhE^T@8%Dk$6G!4>?DVhUj=OUQY>7&o_zunj~j~TRgU|R}^qp&F&DuC~Xq4TzH+y2VpSa5J+Z0yE>vaR&$v^WfU{wY2T zaRzbIz@88R=nUw)OG*Z`PH9g`nYr<`I+y`D77W~^d`I~*(Yq}Fud3IB!#LRu;(q@4 z@fg91)32U@Q>ECUZITg~n2ZJ#nV)1sPcb*K_gkzO{*kv;rV^fXm=q9FQc?#20Id=! zAsO%}eYO3$+M19%XC;qEtS!>_rXBHg0s619#)GhtQ zvlp|()V3MTZWg_7;;j5DWXi7yO|eW(@p9q%O-g&Ok5s<>Vb9Q13$gHh-x=X%Hs{5e zst{-I>#vXZE57AiT?r-UA7#3V6 zVS1zCSdC@|B-v!$d%8Pgd==Y@wFpFcBRze>fel->D9X#v*x6XQu5#ljWzjSLUu9SS zl=L0PzZFuJYh4sm=am|vrkR;FOD~qi1tq9!BQ(n=*x@3zWh|T8d@k!;QjXM)mX@f6 zXw6RZA;X*&J<5o)tY&Cfol_$%AA-HO{RR7l<2c~>!iUf2{eHb)4+d7Ddx$E86+B&| zP&73KczE14ns6dD76k=q?hi?ximx@&%H3DM)C1K}_YO97)QH!9Eq2q`^r zc)0bWEBXnyfL)ZO7VIW#s(*Be^=R+}JgV%4I zNK{!>#jcdWM#YT2rI3{j>-qe$>;!1htUEN&ZqUF%f-?8cAlTQsD|K(MY|V-X_%Z_94h8-<=7jaLNaVh9<-Lu*vGoyFWHk~Laz%*Wfs>4fzEmTSa%H99t`uusb z2&q^I`$a_k0m_1s4QD=9UTMi>3U$#%Q9W=wFa%@kKwJQ27!=!*Bd}Eb z3~m}I9WGi-?72>zX?pD%@zupt>R~$F{6zl+f>dH-=M;8{{PH_qq9p1X983%dU`qwz zyut1nZ5CGuK4xYtZ&+o|o7%D4X?`b079erYCX<1$Te&RT28h#=itU~pIcTLulfMAX<;3|>RVsCtnp=S zt3s|=#r};4@{B1+S;eFZ(MU?(c58whoKggkUqi1iP3tmN1B*Bnwg~h;J!}>*LV)wA zR%6IKNpca|d$dpYhvh`pw5{{~C2I5>Q@R1Cpca%C0FUS^AbS4Nj@(zNf2$MuVViW9 zZPUIl9lr5v=n5@gk}MEl#c-96D=yqsQUJSNdpZQIxJSgw9P)Ch7-r?w;I;$i^RD08 zFtaU@bx5rk`7Q|s5Gp=ktC6j#;g!_khkB{8~ zEj=zpsZxam2g8V&-nkzu8{sN2tZIO<49WrMBLKC$%5!zTZBG0?wH0SLoYk9~Bg-HC z-bf-CKQ%2nmTfynZUm(-83-uow)kh^!oY6FX;vr@@;L!7wFu?aP23el z=*bQ^+h63u7#MmLmh)bU`}2h#?kp9QetGkPJ7we$J$gIle$>X(mMulhfv{(yeI4K|=opdFrR2@d z+7#38gAoX@IQwX@+kxSe*ckLe%p2A6j??+oPT+$$A!A}(CI!borkpP(ZrsOT024xd zEnuDPLT?-~RjY|xD-RR)89vd7ipey1_D&nv9;3LbW(oD@v&o{4FT1K@Sg3YpXmfUSFBUy&l zvKN?^){u|SH3@2?VHOVK?bL}YP`aR8<6RoVuoQ7cJITaDx2%Di3CJNB2Q3?xlqm3l zQziLh%o9qpA<`*l+_G#a)V;PvYQ`rjL9odLQA?b0n?(>b2ZA7^cDS)V$nwRV|M^gK a>ya6!mmSyk-n@{BR}*X|cS}uBbmqUkq419Y diff --git a/examples/tutorials/ClimateNetworks.ipynb b/examples/tutorials/ClimateNetworks.ipynb index 852f30eb..0b43b821 100644 --- a/examples/tutorials/ClimateNetworks.ipynb +++ b/examples/tutorials/ClimateNetworks.ipynb @@ -13,7 +13,7 @@ "id": "677ae7d7", "metadata": {}, "source": [ - "The objective of this tutorial is to introduce climate networks, and to explain and illustrate their application with the `pyunicorn` package. First some theoretical background for understanding general climate networks will be given, and then some methods provided by `pyunicorn.climate.ClimateNetwork` will be illustrated. An introduction and application of coupled climate networks will follow. For a detailed discussion and further references, please consult __[Donges et al., 2015](https://aip.scitation.org/doi/10.1063/1.4934554)__, on which this tutorial is based. " + "The objective of this tutorial is to introduce climate networks, and to explain and illustrate their application with the `pyunicorn` package. First some theoretical background for understanding general climate networks will be given, and then some methods provided by `pyunicorn.climate.ClimateNetwork` will be illustrated. An introduction and application of coupled climate networks will follow. For a detailed discussion and further references, please consult __[Donges et al. (2015)](https://aip.scitation.org/doi/10.1063/1.4934554)__, on which this tutorial is based. " ] }, { @@ -29,7 +29,7 @@ "id": "a56c11e0", "metadata": {}, "source": [ - "_Climate networks (CN)_ are a way to apply complex network theory to the climate system, by assuming that each node represents a varying dynamical system. Of interest is then the collective behaviour of these interacting dynamical systems and the structure of the resulting network. This approach was first introduced by __[Tsonis and Roebber, 2004](https://www.sciencedirect.com/science/article/abs/pii/S0378437103009646)__.\n", + "_Climate networks (CN)_ are a way to apply complex network theory to the climate system, by assuming that each node represents a varying dynamical system. Of interest is then the collective behaviour of these interacting dynamical systems and the structure of the resulting network. This approach was first introduced by __[Tsonis and Roebber (2004)](https://www.sciencedirect.com/science/article/abs/pii/S0378437103009646)__.\n", "\n", "CN analysis is a versatile approach for investigating climatological data, and it can be used as a complementary method to classical techniques from multivariate statistics. The approach allows for the analysis of single fields of climatological time series, e.g., surface air temperature observed on a grid, or even two or more fields. It has been successfully applied in many cases, for example to dynamics and predictability of the El Niño Phenomenon (__[Radebach et al., 2013](https://arxiv.org/abs/1310.5494)__)." ] @@ -100,7 +100,7 @@ "id": "ff7f5d81-129e-4966-a7fc-a0d25aea87f3", "metadata": {}, "source": [ - "Having established some basic theoretic background, we will now use `pyunicorn` to construct a CN. We start with some imports and some specifications regarding an example __[NOAA dataset](https://psl.noaa.gov/repository/entry/show?entryid=synth%3Ae570c8f9-ec09-4e89-93b4-babd5651e7a9%3AL25jZXAucmVhbmFseXNpcy5kZXJpdmVkL3N1cmZhY2UvYWlyLm1vbi5tZWFuLm5j)__, which is already contained in this notebook's directory." + "Having established some basic theoretic background, we will now use `pyunicorn` to construct a CN. We start by importing the required packages, by downloading an example __[NOAA dataset](https://psl.noaa.gov/repository/entry/show?entryid=synth%3Ae570c8f9-ec09-4e89-93b4-babd5651e7a9%3AL25jZXAucmVhbmFseXNpcy5kZXJpdmVkL3N1cmZhY2UvYWlyLm1vbi5tZWFuLm5j)__, and by specifying some metadata for it." ] }, { @@ -108,25 +108,39 @@ "execution_count": 1, "id": "e793f1a2", "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "from matplotlib import pyplot as plt\n", + "from pyunicorn import climate" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "2a8e9a1d-982d-4216-8483-4f372f40d918", + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "climate: Package Ngl could not be loaded. Some functionality in class MapPlots might not be available!\n" + "./data/air.mon.mean 100%[===================>] 27.46M 10.1MB/s in 2.7s \n", + "2024-02-05 03:01:16 URL:https://psl.noaa.gov/repository/entry/get/air.mon.mean.nc?entryid=synth%3Ae570c8f9-ec09-4e89-93b4-babd5651e7a9%3AL25jZXAucmVhbmFseXNpcy5kZXJpdmVkL3N1cmZhY2UvYWlyLm1vbi5tZWFuLm5j [28791289/28791289] -> \"./data/air.mon.mean.nc\" [1]\n" ] } ], "source": [ - "import numpy as np\n", - "from matplotlib import pyplot as plt\n", - "from pyunicorn import climate" + "DATA_NAME = \"air.mon.mean.nc\"\n", + "DATA_URL = f\"https://psl.noaa.gov/repository/entry/get/{DATA_NAME}?entryid=synth%3Ae570c8f9-ec09-4e89-93b4-babd5651e7a9%3AL25jZXAucmVhbmFseXNpcy5kZXJpdmVkL3N1cmZhY2UvYWlyLm1vbi5tZWFuLm5j\"\n", + "DATA_FILE = f\"./data/{DATA_NAME}\"\n", + "![ -f {DATA_FILE} ] || wget -O {DATA_FILE} -nv --show-progress \"{DATA_URL}\"" ] }, { "cell_type": "code", - "execution_count": 2, - "id": "6f1a55f9-8560-484d-ab6a-17ba8b8cd67c", + "execution_count": 3, + "id": "6f79efc6-63ca-4726-bb8f-003744170bcc", "metadata": {}, "outputs": [], "source": [ @@ -138,16 +152,7 @@ "FILE_TYPE = \"NetCDF\"\n", "# Name of observable in NetCDF file (\"air\" indicates surface air temperature\n", "# in NCEP/NCAR reanalysis data)\n", - "OBSERVABLE_NAME = \"air\"" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "12e44ccb-ba25-4bf9-8170-ed12310b739b", - "metadata": {}, - "outputs": [], - "source": [ + "OBSERVABLE_NAME = \"air\"\n", "# Select a region in time and space from the data (here the whole dataset)\n", "WINDOW = {\"time_min\": 0., \"time_max\": 0., \"lat_min\": 0, \"lon_min\": 0,\n", " \"lat_max\": 30, \"lon_max\": 0}\n", @@ -195,14 +200,14 @@ "Variables (size):\n", "lat (73)\n", "lon (144)\n", - "time (900)\n", - "air (900)\n", + "time (913)\n", + "air (913)\n", "ClimateData:\n", - "Data: 10512 grid points, 9460800 measurements.\n", + "Data: 10512 grid points, 9597456 measurements.\n", "Geographical boundaries:\n", " time lat lon\n", " min 1297320.0 -90.00 0.00\n", - " max 1954032.0 90.00 357.50\n" + " max 1963536.0 90.00 357.50\n" ] } ], @@ -312,7 +317,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Link density: 0.025814135861437906\n", + "Link density: 0.026892009342390742\n", "Calculating closeness...\n", "Calculating node betweenness...\n", "Calculating local clustering coefficients...\n", @@ -325,17 +330,11 @@ "source": [ "print(\"Link density:\", net.link_density)\n", "\n", - "# Get degree\n", "degree = net.degree()\n", - "# Get closeness\n", "closeness = net.closeness()\n", - "# Get betweenness\n", "betweenness = net.betweenness()\n", - "# Get local clustering coefficient\n", "clustering = net.local_clustering()\n", - "# Get average link distance\n", "ald = net.average_link_distance()\n", - "# Get maximum link distance\n", "mld = net.max_link_distance()\n", "\n", "# Save the grid (mainly vertex coordinates) to text files\n", @@ -358,7 +357,7 @@ "id": "b26e5953-53c6-418a-b08b-509ad415081f", "metadata": {}, "source": [ - "`pyunicorn` provides a basic plotting feature based on the __[`cartopy`](https://scitools.org.uk/cartopy/docs/latest/)__ and `matplotlib` packages, which can be used to have a first look at the generated data. We start by initializing a `MapPlot` object:" + "`pyunicorn` provides a basic plotting feature based on the __[cartopy](https://scitools.org.uk/cartopy/docs/latest/)__ and `matplotlib` packages, which can be used to have a first look at the generated data. We start by initializing a `MapPlot` object:" ] }, { @@ -389,7 +388,7 @@ "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhQAAAESCAYAAACly0xlAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOydd3gc1fWw3zuzVVpJq94s2ZZsy0XuNrYBNzAYTAktYCAGGxJCKIEEAl9CJwm9hO4AAQIhgQA/ejVgYjC2ce9dclOvK+2uts3c74+V1l6rWLLkBvM+jx9rZ+7MnHt3du6Zc08RUkqJgYGBgYGBgUE3UI60AAYGBgYGBgbHPoZCYWBgYGBgYNBtDIXCwMDAwMDAoNsYCoWBgYGBgYFBtzEUCgMDAwMDA4NuYygUBgYGBgYGBt3GUCgMDAwMDAwMuo2hUBgYGBgYGBh0G0OhMDAwMDAwMOg2hkJhYGBw1LBjxw6EELzyyiuH5Px9+vRh9uzZh+TcBgY/dQyFwsDAwMDAwKDbmI60AAYGBgaHi82bN6MoxnuUgcGhwPhlGRgcA+i6js/nO+jjvV5vD0pz7GK1WjGbzUdaDAODHyWGQmFwSLn77rsRQrBt2zZmz56N0+kkISGBOXPmtJrk/vWvf3HccccRExNDYmIikyZN4osvvohq8+mnnzJx4kRiY2OJi4vjjDPOYP369VFtZs+ejcPhoKioiOnTpxMbG0tWVhb33nsvXS2uO2XKFAoLC9mwYQNTp04lJiaG7OxsHnrooVZtfT4fd999NwMGDMBms5GZmcl5553H9u3bI20eeeQRjj/+eJKTk7Hb7YwePZq333671bmEEFx33XW8/vrrDBkyBKvVymeffdYlmZcvX86kSZOIiYnhT3/6EwB+v5+77rqLfv36YbVaycnJ4ZZbbsHv90ed4+WXX+akk04iLS0Nq9XK4MGDee6551pdq0+fPpx55pl89913HHfccdhsNvLy8nj11Vej2tXW1nLzzTczdOhQHA4H8fHxnH766axevbrDvrz88ssIIVi5cmWrfffddx+qqlJSUgLA1q1bOf/888nIyMBms9GrVy9mzpyJy+WKkndfH4pgMMg999xD//79sdlsJCcnc+KJJzJv3ryOB9nAwKAVhkJhcFi48MILaWxs5P777+fCCy/klVde4Z577onsv+eee5g1axZms5l7772Xe+65h5ycHL7++utIm9dee40zzjgDh8PBgw8+yB133MGGDRs48cQT2bFjR9T1NE3jtNNOIz09nYceeojRo0dz1113cdddd3VZ9rq6Ok477TSGDx/Oo48+ysCBA7n11lv59NNPo6535plncs899zB69GgeffRRbrjhBlwuF+vWrYu0e+KJJxg5ciT33nsv9913HyaTiZ///Od8/PHHra779ddf87vf/Y6LLrqIJ554gj59+nRa5pqaGk4//XRGjBjB3/72N6ZOnYqu65x99tk88sgjnHXWWTz11FOcc845PP7441x00UVRxz/33HP07t2bP/3pTzz66KPk5ORwzTXX8Mwzz7S61rZt27jgggs45ZRTePTRR0lMTGT27NlRil5RURHvvfceZ555Jo899hh/+MMfWLt2LZMnT6a0tLTdflxwwQXY7XZef/31Vvtef/11pkyZQnZ2NoFAgOnTp7N48WKuv/56nnnmGa666iqKioqor69v9/x3330399xzD1OnTuXpp5/mtttuIzc3lxUrVnRilA0MDKKQBgaHkLvuuksC8oorrojafu6558rk5GQppZRbt26ViqLIc889V2qaFtVO13UppZSNjY3S6XTKX/3qV1H7y8vLZUJCQtT2yy+/XALy+uuvjzrPGWecIS0Wi6yqquq0/JMnT5aAfPXVVyPb/H6/zMjIkOeff35k20svvSQB+dhjj7U6R0sfpJTS6/VG7QsEArKwsFCedNJJUdsBqSiKXL9+fadl3V/muXPnRm1/7bXXpKIo8ttvv43aPnfuXAnIhQsXtiunlFJOnz5d5uXlRW3r3bu3BOSCBQsi2yorK6XVapU33XRTZJvP52v13RYXF0ur1SrvvffeqG2AfPnllyPbLr74YpmVlRV1/IoVK6LarVy5UgLyrbfeam9YIvJefvnlkc/Dhw+XZ5xxRofHGBgYdA7DQmFwWLj66qujPk+cOJGamhoaGhp477330HWdO++8s5XDnBACgHnz5lFfX8/FF19MdXV15J+qqowbN4758+e3uuZ1110XdZ7rrruOQCDAl19+2SXZHQ4Hv/jFLyKfLRYLxx13HEVFRZFt77zzDikpKVx//fWtjm/pA4Ddbo/8XVdXh8vlYuLEiW2+EU+ePJnBgwd3SdYWrFYrc+bMidr21ltvMWjQIAYOHBg1hieddBJA1BjuK6fL5aK6uprJkydTVFQUtYQAMHjwYCZOnBj5nJqaSkFBQdT4WK3WyHeraRo1NTU4HA4KCgoOaA247LLLKC0tjZLv9ddfx263c/755wOQkJAAwOeff94lfxGn08n69evZunVrp48xMDBoG0OhMDgs5ObmRn1OTEwEwpPq9u3bURSlw8mz5YF/0kknkZqaGvXviy++oLKyMqq9oijk5eVFbRswYABAq+WRA9GrV68opaBF/rq6usjn7du3U1BQgMnUceDURx99xPjx47HZbCQlJZGamspzzz3XapIG6Nu3b5fk3Jfs7GwsFkvUtq1bt7J+/fpW49cyLvuO4cKFC5k2bRqxsbE4nU5SU1Mjfhj7y7r/dwutx0fXdR5//HH69++P1WolJSWF1NRU1qxZ02bf9+WUU04hMzMzsuyh6zr/+c9/+NnPfkZcXBwQHqvf//73vPjii6SkpDB9+nSeeeaZA5773nvvpb6+ngEDBjB06FD+8Ic/sGbNmg6PMTAwaBsjbNTgsKCqapvbZSedJHVdB8J+FBkZGa32H2gi7w7dlb2Fb7/9lrPPPptJkybx7LPPkpmZidls5uWXX+bf//53q/b7Wgm6SlvH6rrO0KFDeeyxx9o8JicnBwgrRyeffDIDBw7kscceIycnB4vFwieffMLjjz8e+S5a6Mz43Hfffdxxxx1cccUV/PnPfyYpKQlFUbjxxhtbnW9/VFXlkksu4YUXXuDZZ59l4cKFlJaWRlmNAB599FFmz57N+++/zxdffMFvf/tb7r//fhYvXkyvXr3aPPekSZPYvn175JgXX3yRxx9/nLlz5/LLX/6yQ7kMDAyiMRQKgyNOfn4+uq6zYcMGRowY0W4bgLS0NKZNm3bAc+q6TlFRUeTtG2DLli0AXXJu7Cz5+fksWbKEYDDYbljiO++8g81m4/PPP8dqtUa2v/zyyz0uT3syrl69mpNPPrmVxWVfPvzwQ/x+Px988EGU9aGtZaXO8vbbbzN16lT+8Y9/RG2vr68nJSXlgMdfdtllPProo3z44Yd8+umnpKamMn369Fbthg4dytChQ7n99tv5/vvvOeGEE5g7dy5/+ctf2j13UlISc+bMYc6cObjdbiZNmsTdd99tKBQGBl3EWPIwOOKcc845KIrCvffe2+ptteUtd/r06cTHx3PfffcRDAZbnaOqqqrVtqeffjrqPE8//TRms5mTTz65h3sA559/PtXV1VHX3PfaEH7TFkKgaVpk344dO3jvvfd6XJ62uPDCCykpKeGFF15ota+pqQmPxxORE6ItDC6Xq1uKj6qqrSw6b731ViTk80AMGzaMYcOG8eKLL/LOO+8wc+bMKKtUQ0MDoVAo6pihQ4eiKEqrkNh9qampifrscDjo169fh8cYGBi0jWGhMDji9OvXj9tuu40///nPTJw4kfPOOw+r1crSpUvJysri/vvvJz4+nueee45Zs2YxatQoZs6cSWpqKrt27eLjjz/mhBNOiJrMbTYbn332GZdffjnjxo3j008/5eOPP+ZPf/oTqampPd6Hyy67jFdffZXf//73/PDDD0ycOBGPx8OXX37JNddcw89+9jPOOOMMHnvsMU477TQuueQSKisreeaZZ+jXr99hWbefNWsW//3vf7n66quZP38+J5xwApqmsWnTJv773//y+eefM2bMGE499VQsFgtnnXUWv/71r3G73bzwwgukpaVRVlZ2UNc+88wzuffee5kzZw7HH388a9eu5fXXX2/l59IRl112GTfffDNAq+WOr7/+muuuu46f//znDBgwgFAoxGuvvYaqqhHHzbYYPHgwU6ZMYfTo0SQlJbFs2TLefvvtKIdeAwODTnLkAkwMfgq0hI3uH6r58ssvS0AWFxdHtr300kty5MiR0mq1ysTERDl58mQ5b968qOPmz58vp0+fLhMSEqTNZpP5+fly9uzZctmyZZE2l19+uYyNjZXbt2+Xp556qoyJiZHp6enyrrvuahW6eCAmT54shwwZ0mr75ZdfLnv37h21zev1yttuu0327dtXms1mmZGRIS+44AK5ffv2SJt//OMfsn///tJqtcqBAwfKl19+OTJG+wLIa6+9tkuyHkhmKcNhqg8++KAcMmRIZJxHjx4t77nnHulyuSLtPvjgAzls2DBps9lknz595IMPPhgJjd33O+vdu3ebYZeTJ0+WkydPjnz2+XzypptukpmZmdJut8sTTjhBLlq0qFW7tsJGWygrK5OqqsoBAwa02ldUVCSvuOIKmZ+fL202m0xKSpJTp06VX375ZVS7/cNG//KXv8jjjjtOOp1Oabfb5cCBA+Vf//pXGQgE2hw/AwOD9hFSdtGzzMDgKGf27Nm8/fbbuN3uIy2KQQ9SXV1NZmYmd955J3fccceRFsfAwGA/DB8KAwODY4JXXnkFTdOYNWvWkRbFwMCgDQwfCoOfJLW1tQQCgXb3q6p6SHwtusOxKHNP8PXXX7Nhwwb++te/cs455xySKB0DA4PuYygUBj9JzjvvPP73v/+1u793795dToB1qDkWZe4J7r333kgI6FNPPXWkxTEwMGgHw4fC4CfJ8uXLozI57o/dbueEE044jBIdmGNRZgMDg58OhkJhYGBgYGBg0G0Mp0wDAwMDAwODbmMoFAYGBgYGBgbdxlAoDjPnnnsuiYmJXHDBBQB4vV5OP/10Bg4cyJAhQ6Kczqqrq5k6dSr9+/fnvPPOw+fzAbBnzx4mT57MJZdcgqZpvP/++8ycOTNy3HXXXcdpp50W+Xz77bfz4IMPHqYeHhzFxcVMnTqVwYMHM3ToUDweDz/88ANDhgyhX79+3HvvvZG2X331FaNHj+bhhx8G4He/+x1z586N7C8sLOSBBx6IfD7xxBNZsmTJ4evMIeSjjz6ioKCA/v378+KLLwLwr3/9i1GjRvGvf/3rCEvX83TnvoBw0bgRI0ZE/r366qtHohtd5lA8JwCmTJnCwIEDI+Px29/+9vB3zuDHy5HMqvVTZP78+fKDDz6Q559/vpRSSo/HI7/55hsppZSNjY2yoKBAbt26VUop5U033SSfeuqpVn/fcsstcuPGjfKZZ56Rn376qayoqIjK2njiiSfK8ePHS13XpZRSnnTSSXLBggWHq4sHxaRJkyIy1tTUyGAwKMeMGSNXr14tQ6GQHDdunFyzZo2UUsoLL7xQNjU1yYsvvlg2NjbKN998M5L90OVyyVGjRsmf/exnUspwZsjExMQfRebDYDAo+/fvL/fs2SMbGxvlgAEDZHV1tTznnHNkIBCI9PnHRHfuCymlTE5OPmKyd4dD8ZyQMpzBdO3atYe7OwY/EQwLxWFmypQpxMXFRT7HxMQwefJkIFyYqKCgIFIv4YMPPogk8fnFL37Bhx9+CIQraSqKgslkQtd10tLSUFWVsrIympqaMJvNDB48mE2bNqHrOqtXr2bMmDGHuaedZ/369ZjNZiZOnAiEqz9WVlYSCoUYNmwYqqoyc+ZMPvroIyDcfyFEpODUhAkTWLRoEQBLlixhxowZVFZWArBq1SoGDx7cbgXQY4mWN/Ps7GwcDgenn346X3zxBVJKhBAdVhA9FunufXEscyieEwYGhxpDoTiK2L17N2vWrGHUqFFAuMJjQkICANnZ2ZHKjNdccw1XXHEF8+fPj5RwbplUly1bxujRoxk/fjyLFi1i/fr15OXlYbfbj0ynOsHWrVtxOBycddZZjBo1ivvuu4/S0lKys7Mjbfbt/5w5c5gwYQKFhYXExcWRk5OD1+ulpqaGxYsXM378ePr27UtRURGLFy/m+OOPP1Jd61HaG5OzzjqLsWPHcu655x5B6Xqe7t4XEC6Pvu+SR3dKsB8tdOc5AXDBBRdExmPf5SEDg+5iJLY6SvD7/Vx00UU8/PDDxMbGdti2b9++fPfdd1HbWhSKtLQ0xo8fT//+/XnqqafQNI0JEyYcStG7TSgU4ttvv2XVqlWkpaVx2mmndWhRmDFjBjNmzIjaNn78eBYvXsySJUu45ppr2L59O4sWLWLx4sWRdegfK1deeSVXXnnlkRajx+mJ+8LpdLJq1apDLOnho7vPCYC3336bwsLCQyWiwU8Yw0JxFCCl5LLLLmPGjBlRk19CQgIulwuAkpISsrKy2j3HhAkTIhPq+PHjGTJkCOvWrTsm3tCzs7MZM2YMOTk5WK1WZsyYgdfrjbxpQef6v2jRImpqakhOTmbcuHGR8Tja+99ZsrKyujQmxzo9cV/8mOiJ54SBwaHEUCiOAv74xz8SExPD7bffHrX9zDPP5LXXXgPCnvxnnXVWu+cYNmwYGzduZNeuXWRnZ6OqKjExMXz11VdHvYVi7NixVFZWUldXh67rLFiwgNGjR6OqKmvWrEHTNN54440O+z9hwgT+/e9/069fPwBGjhzJvHnzkFKSnp5+uLpySDnuuONYt24dJSUluN1uPv300yhT9o+Nnrgvfkz0xHPCwOCQciQ9Qn+KnHzyyTIlJUXa7XaZnZ0tFyxYIAE5ePBgOXz4cDl8+HD52WefSSmlrKyslJMmTZL5+fnyZz/7mfR6vR2ee/LkyfKCCy6IfL711ltldnb2Ie1PT/HJJ5/IwsJCOWTIEPm73/1OSinlokWL5ODBg2VeXp686667Ojze5/NJi8Uin3766ci2cePGyUsvvfRQin3Yef/992X//v1lfn6+/Pvf/36kxTnkdPe+UFU18rsaPny4fOyxxw6D1N3nUD0nJk+eLAsKCiLnuOSSSw5Xlwx+Ahiptw0MDAwMDAy6jbHkYWBgYGBgYNBtDIXCwMDAwMDAoNsYCoWBgYGBgYFBtzEUCgMDAwMDA4NuYygUBgYGBgYGBt3GUCgMDAwMDAwMuo2hUBgYGBgYGBh0m2OilofP5yMQCBxpMQwMDAwMjgEsFgs2m+1Ii/GT46hXKHw+H717946UozYwMDAwMOiIjIwMiouLDaXiMHPUKxSBQIDKykp2795NfHw8VX+84kiLdMTYYElgcMB1pMU4KjDGIowxDmGMcQhjjAM0BoKMfPEDAoGAoVAcZo56haKF+Ph44uPj8VnbL1/8YyfWYiFO/HT7vy/GWIQxxiGMMQ5hjHEwOJIcMwqFgcGPmd0b+hzUcXXpKrsrnD0qy7FIT41DzuAd3T6HgcHBsGDBAh5++GGWL19OWVkZ7777Luecc06bba+++mr+/ve/8/jjj3PjjTdGttfW1nL99dfz4YcfoigK559/Pk888QQOhyPSZs2aNVx77bUsXbqU1NRUrr/+em655ZYe6YOhUBxD9As2HGkRjhqOtbE4WIXhQGTVaIfkvMcaPTUObX1Px5KScaz9Lgz24vF4GD58OFdccQXnnXdeu+3effddFi9eTFZWVqt9l156KWVlZcybN49gMMicOXO46qqr+Pe//w1AQ0MDp556KtOmTWPu3LmsXbuWK664AqfTyVVXXdXtPhgKxTGES7Fg03xHWoyjgqN9LA6VArE/HpvA4jYKBh/Kcdj/uzyaFYyj/XfxY6Iz0YdSSoQQUdusVitWq7VV29NPP53TTz+9w/OVlJRw/fXX8/nnn3PGGWdE7du4cSOfffYZS5cuZcyYMQA89dRTzJgxg0ceeYSsrCxef/11AoEAL730EhaLhSFDhrBq1Soee+wxQ6H4qWGTPfs22p1J72Aeqpquo0mJWVEQQtDgDyAQhKROUNNJjbG1+vG1J6/HJgj4uj6BhHQdTerUBbzUB700BH0kWmLQpE5pkwuLYmJe+UZSrQ78WggNnaCuYxIK7pAfnxbEFWyiNuDFqphIszmwKmYsqsrJ6QMZl9wHm3r41rAtocN2qaOawzkOXf3dHE4FpKefEQZt4/P56JvroLyq4/F2OBy43e6obXfddRd33313l6+p6zqzZs3iD3/4A0OGDGm1f9GiRTidzogyATBt2jQURWHJkiWce+65LFq0iEmTJmGxWCJtpk+fzoMPPkhdXR2JiYldlmtfDIXiENOTb6oem6DhICbRQ0FLv3Z5ailpqscbCpBsdeANBfjtiv9GtR2SkMl6V1nk88TUfnxbtQ2Afo5UtrmrODt7GDV+Dwurt0faHZ+SB8D31UVckDOSTHs5k1P708eRDEBI12hsnuTdIT+uYBP+khE06A1kmjJY7VtHo+YmRrGTbEpiiWcZX7sXEKL17JNj7sX0uJMoDuzkK/c6bk69njRTKiZhYlD/EkJSx2Gy8rMFc2kI7X0D3NxYEfn7k9L1ZNriCegaHi1AQAvxzolXkROb2OabisFPg32fAUezdcOg8wQCAcqrNIoW9CHe0XZ+yAa3Tt6kHZEIxRbask50hgcffBCTycRvf/vbNveXl5eTlpYWtc1kMpGUlER5eXmkTd++faPapKenR/YZCkUX6e6P+3CZstuiKkEh1nf43kC8oQClTS5iTRa+q9rOgxu/iNqfbounwhdes53V5zhiTVbmbvs2qs3NA6dxcnoBK+p2UxCXjllRyY5xAqBLibLPJBvSdb6s2MROTw0bXOWsqttN79gkBsdn8PbuldgUE1+VbyLZGouvTxJLly4FYKB1AP2secQpDt513YVE0ksOZzs/ADCEqSTgppQ6YkikiUaC+Pglc4khgSA+TEErSq1CIVDIbwhWQWZuuG/VxSkA1APPZD0JwCbH//HXDZ+1GrMyX/Qa9t3rPua0zME8uPELfpl3PKOScllau5Md7hoArKqJeLMNKeHyvuPJsMe3OmdHHO574kjj10KU+Vxsb6zin8VL2NBQxp+HnsmgkcNRPT5mfPMMQsDL4y4jNzbpsMklZVjR319p9GlBpJTYTeE3wt0b+hxSpWK3KZaEQP0hO79BNPEOpV2FItKmOUKxOyxfvpwnnniCFStWHNUvJsekQtFTk/qRVA6OZhZVF3H98r1WhvHJfXGH/IxJzGVZ3a7I9op9Js/XdvwQ+fvMrELsqoUfanfwyKYveWTTlwDMHXMxY5J7s3FjXtT1akK1+KWfkmApT1Z/ELXP5VVokk0AFFgGMkQZxOn2U6hLbGBS6njmuxcw1j6KEx0TWLYrnl8wDRsO1A5ubYmORggT4Ye8BXub7Zbtin4IjMnd29+B7vN4LXev49SgQUVAeALZ4anhF4teAaAu4MGqmnhw+LnUB71saqhgh7uGwQmZfFy6jlq/hyRrLDGqBY/mb1fmw0FI19ClpLTJRarNQazJSrXfjZSSREsMJkXt8WtqUuf+9Z9T6W9ko6ucuqCX6RmDWO8qY09TPaMTc3ly9M8pa2pg5vf/ICT1qOMV4JWixSTZKli6dCmFCVmsc5Vy3nfPA/Dl1BtwWtr+fjvis9L13L72Q2bmjubmQaccsP0X5Ru5bc0HCOCCnFG8tXsFE1PzUYSCguCHmh2cmNqPvw4/O/LcMawVBp3l22+/pbKyktzc3Mg2TdO46aab+Nvf/saOHTvIyMholQAyFApRW1tLRkYGEE74VVFREdWm5XNLm+5wzCkUhhLQ85y94DnKmlx8OuU6AnooSpmYO/ZiBsVnYFctrKjbxYkN/fjb5q87PN9HpesASDel8f/Sfk+8EodJmKgv0VlZnsST1U+wzreBnyecw39d70aOO56ZXMz9bORbVvEJACWhUi7nb8SThuJTwAfL6sGarhGqOoGJnABNsKw2fI5YnB3K9r2pfp9P3lb7jw85I+1a/m5hfwUjmr1Kki515k2NJ9ESA8DvV7zNwuoiNKmTaImhLuClV0wifxl2Fv0cqQecqPdXwPbFhYemjbEdHt/Ct+7vqdFqWdW0lspQNafETaWfJY9PGj8nSU1kgef7qPaFtkGUBSuo0WoZZitEAOt8G7Ardp7JfpQh+0yIl3z/Elsaww+zRaf8AXMnlQ8pwayo+LUgdcHw9/F5+ca9+5Gc8OWjAAxNyKSsqYHqgCeyXwe2e6o5Pm4CQ/OOZ3xyH3QkNsVMpj2hS8rEmvoSSrz1jEvuw6S0/nw8+Rqc5phOHTs9czAjE3OY8b9neGv3CgA2N1QS0EMoQuDRAnxevoEyn4uQrnFN/0mwIY/0gu0Rn6KepLvPySOp7HRV4dq/r+7QkVXMDwWzZs1i2rRpUdumT5/OrFmzmDNnDgATJkygvr6e5cuXM3r0aAC+/vprdF1n3LhxkTa33XYbwWAQszns6zVv3jwKCgq6vdwBIGSLre4opaGhgYSEBFwuF/Hx8Sw/7Y9HWqQjxo50lT4V7Zu3Q7pGTcBDsbsGh8lGQXxa1IN9zOcPRP5OMNsYl9yXdFs8BXFpxJqsNAR9xJos1AW8bZrz/3HcL+gfl4YqFO7b8Blflm/Cr0f7I8QpDhp1N33MuUyNm8Ro+wiuK7m5DWkFxzMTMzZsxGLGyk5WE8RHgCYkEo0gU5hDIq3Do6xj6/AvDf8AopWEw0+L4rGvBQPCVotVdbv5z85lfFWxmXsLz6TQmdWhKb4j5aEtXIM8JHRSofhD6R2Uh/a+nQy0DqA8VEG95uL/pf2eJ6qepUnu9Q/JM/ehKLiDPEsfHIoDBYUMUxqZ5gwqQpV86f6Gs+JP45yEMzstb4sl50DoUlLtdxOjmnGY2892GNBD+LQQtb1iO/xtdIYXtn3H37d/x33DfsapmYO6fLyUkvWuMra7q3hu27dU+91MTRuA0xKD02Knzu+lMeTjq4rNTErpx86mWnZ6wprw6ZlDGJ2UyzXT4lCVztds3H8yPdAzoqscDsWip18S3SE/U756PDJnHApa5qXqFXkd+lCkjCrqtBxut5tt28K+ZSNHjuSxxx5j6tSpJCUlRVkmWujTpw833nhjVB6K008/nYqKCubOnRsJGx0zZkwkbNTlclFQUMCpp57Krbfeyrp167jiiit4/PHHjSgPA9jjreeRTfNIt8bzzp6Vke121cxV+Scyq29YM20I+vjT4NO4r1lRcAV9rKzbTX2giaDUGByfwYaG8qhzn5VVyDpXGcWe8Hr/L394HUn7+uco+3DW+zZxU+p1jLAPY9mueLYgOZlfUUEx6wgvfaTQm0t4gCe5GIA0+mInnoFMJIdCzFiRSKx0/HZ4pBWJ/Vm2Kz5KqfhstZnby19njH0kyWoiabZ49Db0964qEftez5qu4W+2nIzJbWjTitIiU7IpifJQBU41AZ/uZ5N/S6TNA5WP8besB3im+gXi1XiWN62kKLiDTFM6RYEdXJ54CWNjRlGvuVjqXUE/a1+cagJ5lj5dkrmzfR00qIg0W9wB21kUExbFRG2XpGibX/U7kV/1O/GgjxdCUOjMotCZxc96DQfCfkgNQR/1QS8l3rDz8lcVm1lQvY1RiTk0hYKk2+JYXb+HJdXFzCtPY0nNDs7PGckfB0/vgV4ZHCssW7aMqVOnRj7//ve/B+Dyyy/nlVde6dQ5Xn/9da677jpOPvnkSGKrJ598MrI/ISGBL774gmuvvZbRo0eTkpLCnXfe2SPKBBgWimOG+kATX5ZvZEnNDip8DZHJf6SzF349RIrVwYKqbWTY4in3NTA0Pou7hs4g0+7Eqpr4rmo7N654i4K4dP45/jKW1OzgL+s/5eT0gWTY4smNTWRCcl/+vv07vizfxJ6m+si1P5l0LWZF5ZRvwjfmlc7L+Ef9qwAMtQ1hrW99pG0WAyllUyv5z+RmzFhJoTcxhCe9dXzNVzzfbp9/y38QtG0KPpqUif2XRgCG59TwvWcJ/61/lwa9EYBhCdnM6nscU9MLotoejELR8fLLgdnNev6PPwNgxoaVGOJI5TjOpQ8j+I5/s5xof5bzuZNeDO7Wdfe34hwsnbV01Po9bGgopyHYRJ4jhYHxXV8nPtD3syuwhy/0//DoyPNb7VtYtZ0nNs/nj4OnMyKxF5Kwj5JZqPyvais7PDXEm23MK9/7mzk9YzCqonDTwGnoUqIjiTVZsCiH//2vKxYKdyBISJc4bZYDN94Hw0Lx48FQKA4x7T2MOvNA1KTOqfOfpCHoQwLTR4znu7Ur8GgBcuyJ7G6qi7RNUhOZ5pjCENsgkkxOnqp6niBBigM7+VPaTXj1JlJNydxb8RB+6aevuTfFwZ1R1+ttzqG/NZ8v3d8AYMLUZojlvqTQmxRyKGMbFqxUET6nhRiyGUgxK4jByRyejDhB7stCtY7d+ttUyYXohM3tx3Ee20Upg2R+JCIDwEYcDhJJohdZ/VIR25Ij5zlaFIwW5WIbP/AxjwFgEzZiFDvZpkxuSb+xy+fsSHkw9XMT2uZod39H+HCzm3VsZylV7OQSHmjlzKqjodCzzpg9pVQAuDUP5aEKyjIr2b5tOzZhIyAD1GsuarRaGrRGnGoCdVodNVodr+b8vcf9FTSp4dWbiFPD34NP9/Hf+ncRCOq0OpY2rSTP3Ic0cyqLvUujjl047WasqonNDRUUu6vZ6a3lhe0LSbbEclxyHxQhUIRgh7uGta5Ski2x/PeEX5Kwn29Iy3PGm+0jpqTjglgHevaEdB2TorC0ZgdbGivpE5vMUGc2i6qLSLE6yHOkYFNMkciVnME7kFKS8bc3ueG4wfzphGFhmarrcQdCjM1KaXWNQ+kLZygURw5DoTiEHKwpuwVd6rxZ/39YFStrmzaQGJPA0voVrdolq0nUaLX0s+SxLRB+WJgxESSETdjwSR9pphRS1RQadQ+7grtbncOpJhDQA3ibIyp6m3OpDFUxKfZ4PNKLQODzpLGU9wDIogCBgoc6gvhJJgcTFlRM6GhUsB03tcSSyByeajfqYl9FwCer8MiduOVW+sgUejEYG47m86r48NBIDTXsptK+he1NK7mSZ3GQ1Ob5jhTHh5zo6GzmO+pjlvCDdzmDrQUEZYhT4qYyIfa4do/trOWhpZ9mm07Qt/eB1pa15MfEqJx65rnnU+zfyfZAMbmWXmSY0mkwu3F7GykJlqIIFacST5IpiTRTCummNHqZs8k2Z6KIzvsntPBs9YvEKHZmJ10a2RaQQb73LCEkQ1SEKqkMVTUvZ0kadTfbA8XYhY0Lnefxz7p/U2gdzITY48gyZ3BPxQP8I+cZLF0s4vV41TOsaFrNuJgxXJfStolas+ioga73EcKKxuq6PVz5w7+YmTuaN3Yt56nRF7KmvoSFVdsZkpAVcTiNN9loCPm4u3AGd6/7hPHJfUm1ORgQl0af3m6m52Xj13Sqm3wMTnFGrnE4nOoNheLIYSgUh4juKBOa1Hjb9T4Qftvx6F6S1ERSs1KJrbYTlEHKQ5XUNDjx42EZ70cdr2KmkJOopQQTVmJxEkcy+RzHRhaQyQDyCWdTq6CIH/g/EsliDxuwEUcIP5UUkUJvXJQzmdks5T2q2Uk+Y9nOUgSCPMZSzS4SyUTFzHZ+wEkm2QykgiKq2cnJXEUhJ7XZz44m/wNNjEq2h60lG1jAazRQyfX8GwXlgOc9XIwMKTzP3od+ipoUntgs2fwi8aI2j9lfmehMPxKyArhKD2xi7qyi8S2vMYzpJJB24MaHGR2Nr3iBDXzDZGaTRQHzeQkX5WRmZzG2ZBYp5LZpCesO1ezGTQ0aQfx4CODnf7wMQAEncBznkUB6h6HKB4NGiJ2sZiMLqKQILw0kkskF3I2Ftq0QanYTWknXw2RbrEa1oTq2+4sZ1c/L27tXUB9swq+F8IT8ZNmdrHWVUulr4LoBUxidmEuC2c57JaspdlezvG43mtQJ6iE+mXwdydbOOQv3NIZCceT4UTpldtcycCjpzBuoROcjPqOQaYzlfKzE0kAVrviNLN9cTBYDqaGOFfyX3gzndG4giWwkkhgSiCEh4nuwk9VUs5vv+Bd72EgG+eQzBonOHjZG1tH3ZQ5P8TLXU8ZmJnARlRRhJ+wgV8CJjOZsVvEpXhpQUNnBSnIZRi8KUTHRQDUKKinkspNV7GQVTjIZzBQSyQQOPFnuu7+tydCcFSC/ZCwNVLGAV/k3t3Bxs8n++JDzsCoVZfpneORO6mTYKVZgQmOvQ52Kmd+k/JIB1n6Rbe3dB12V25kZ7JRCsf9521MwBjOVWLofPtbWNbvKvjJuYRGf8gRxJDOc09jNWv7HK8zgRvoxDltWPf6SA8tdTzlr+RInGQwlHIbnx8tOVrOcDxjKKRRyEpJwvosFvIaHOiopppEaMhkQ5dWTRh5JZHern/tSxU7W8AUlbKSO0qh9duKoYgfvcA8JpBMiiAkzKiaKWcnF3EdylgLNCsUy3mcT32HBjoMkYnFiI4508unNMAR7J8KW+zEns5Lnav/Bw7v/zEWmE8EEizw/8GzDi2xoKMcizPSx9Gaw52cU9g1HDF0/YEqP9d/g2OZHqVAcDRys05xE8h2vE0cKU5gdeetJpTcShe2U8h3haItkehGLk095AoC+jKKYsEkykSziSWMnqxjGqWQxkCqK6c94AN7lPnazLnLd3/AKzzEbgAW8Sgb9GMcFvM8D5DOWeso5lWswYWExbzGVK7Dh4F/8AYBdrOEc/kguw9AI8QyzsBKLQKGecopYzjLe53hm4lPHobaTTKotWiamtibBkcxAxcx8/sFr3MRpXEcG/Q+rUrFHfy/qs0Cwgo8BuIC7SCGXhopYlh3gPIdTCWr/Wg7A086+aPb9Pg6F7N+b6pFSskG7Hy+7SBNTscoqVvMZJ/NrzuD3XfLvWM83fMPLSDTsxLOVxUzlSv7FH9DROIGL8ePlv9xBDXtIpS8lbORUfsMUrsCOA4GCROd1bqEf4xjFGQe+cCf5hL+xlcU4yaAPIxnNWTjJIIVcrITf9p9gJgmkcwq/wYyVEAGaaMCPl3f4M6MZyUpRjkuuBWCo+mdMOPDIYjxolMoNLJZvES8GU6CGUzjv+z3uLuvHNbxGcSkUE7aSfE8JVmLx4yHTlEFIhnix9p/c/uVOEtQELnSei1VYsQoLqaYUbErHPhz701kHW4Ojn2NGoXj11VcZNWoU5v3SNR8MbU32IQI0UhN5gz5SVLCNFXxMASdQwkZyKKSanVRQhEIZ5WzDQx0z+B3V7MJGLLN5IrK08QXPkkUBAzieWvY0WwjWMJu/sYVF7GAlhZzEaVzPZhZSxhZCBNjDerIZRIAmKtiORohPeIIM+jOVK4khHoHCc1zBOfyRBNIQKFiw4yHsHJpBfwQCjSAAfjxUNU9OE5lFIll8wIOgvQFAtnI2FpJwikJM4sCOhW0lmwIYxETm8w9SyOVN7mjeNplTQ785LJP0IPVWdmtvYRfZ+GQ5jWyN7GvxNWmR/8fE4ejPeu0vNFFOjriQdGUq2/Tn6C0uoUEZyWIaO7WU48PNDlZSzHKu4RUEAje1fMZTLOdDcihkJ6tYyL8jxwxiMrE4aaCSL3g2sv1qXsJKDL/gkU7J35UxcjKbsc1KPYCr+d9Oghzf7Bt9Jc+yStVYKpqApuaWJlK4ihQgRfEwQG291JAgwtE5DVo4aViD3ACEc2e8IV7ALOKIF4MJynr8VCMwYdd3Y8bKWr4knXzO4g+YgzZ0QnwdfJEawo6uD1Q+zgQuosa6nC3+bYywDWVW0kxS1ZQ2HWD3ff6OyW3okkX5QMqHLiWbXeUdtjE4dBwzPhQt/CntJgbZCjo4IsyBLARuavkH15BJf5LIoYodVBK+WZPoRSq9qWYnIzidDPoj0TFhIZ60Hl8rBaikmATSI7kXPNSxlPeop4IksokjmTFjR1OzVPJPbowcZyWWSVyGjkYC6aTSGxt7J+c6SonBGTnvv/l/9Gc8GfQjm8HUUkKIANtYgh8PQ5jKm9xOBv04j9spYgXf8Toz+SuxONnMQj7jqVbyJ5LFZc1RDS1IJKVsIpMBKKiRNeFPeYIE0nBTh79Z4UgUo4gROSSIIcSK1klcWmiZQPZNbAWwiW9ZyH9w75eRoCX09FBMfj5ZxVrtjqhtcRSQpIzEI3dTLRcyWP0jsaJ3l85bpn/OHv1dhqp/xiZSO2zbe7SHncsPzVp1QLrYqb2BhheNJpoIF3iTzQpjDDkkKWNxiL446HdIagy4tI1skU9EPucoF7BbfxuAAcr1xIhemHDQZ4yvzXFo0DezWX+cXsq5nK2fg5lwYaY6SnmX+1BQyGMsafThe96kkerIsb/ieWKIjzwrAGbzZKf8S46U8tiZ+8Erd7Nb35uhNk7kY6cXHrkTs4jDRhoNcgvl8nMSxUhiRC9SxAlYhDNKgXNTi0BElsj8eNnFWj7hcTIpoIzNFHIyfjyEaCnzLQCJgkoaeaiYGczkyJJqdyOA5la/xELvYgDDh+IIcMwoFHV1dTidTm4Ubx70ubw08DlPs4s19GMc21jCdK6jF4OJJZEgfhQUvLiwEsMeNrCAV+nPeBRUgvioo2wfM6toniiDWLDTi8EkkoUJC3489Cac3OZ7Uz26DOJhJ3ayqZGLccsiamVLCJkC6FhIoq9yGY1yC6XyEwrVu3HJdQhU7GRTMLQXZetj8MkK1mt/Rm8jpFPFzLW8yiKTK2q7lDpCKOgyRIn+AeUyXOgrlnxO4lz6MorFvEMsTubzD4ZxKpo6FgvJrNTCCVYGKNcTRwH1rKFOrqBWrgQ0nGSioGIjDhNmdrGm+dxOPNRjIYZ08slnNMOYHvHv8OHmTe6gnjLsxNFEOF+DhVSGqfd2OEFlDWmiz+q91iQ/XuZyRXOUiR5ZA+/PeGZw4yF5wFfo89mtv4Ns/h7s9ELFhpttkTbD1L9gFa3D5joiJJtQsSDEgc35WUOaKF3fdSe81tf00KBvZrt8HoEKKEiCCFQkGuliGhXyS5IYj04TfmpoYk/k+DQxmQa5hf7qb7CJ7jl0hqQXBQuKMO2zzU0T5YSkG7fcHl7yE+PYoP8VgPFDz6Z0vR0VGyYc2EUmFpLxyQrW6XczQLmBBCU6++VW7TlGyNHsYg1nsTebq2yu9tLy4qCj8xo3UU8Zl/FYq8ytR5PlqSv3Q0h6CdKAXXS/hgO0XpL04SZEACsxmLFFjZMug+zS3yJEA6fKn6MTookGdDTiSMGEFTMWlvMRRSxlBDPYzlJsOLAS25xd14aKGZ0QqfQhkWxiiEcjyEtcZygUR4BjRqF48cUXmTVrFrdY3z3wQfuwjR/wUI8fNztZzQlcQhZ7LRzdeRjoUgN0FGEmKBtplFtxyY1YhJNafSk2kYadbBrl1qhJZl+ylbNRMJMqTkQCZfqn1MmVCFTMxJGunISChSZZTgObAIkJB0KaqWc1KjbMxGEVafRVLkMSan6j9OGTVTTIzbjldvxUYcJBHPl42ImXcOiojSzsIos6GV7hTxNTqJdrCVATkTFZjMMjd+CjAju5mIQNpxhKKpMAwQr9twzkRDIYwDe8BEA/jmNbc7VPExYUVALNJtoUcpnB76KWlyQ6T3JJ5HOuciHpStvRIW0xLuTgPe5jDxtIbrYwbWIhwzmNKcw+pA/9oGzETxUV+nwa5EYsJJGr/hwH+YiDCFM8XDTomyjRP8a9zxJNCwo2MsVpOMUIrCSB0AnhwSt3k6iMQNdD7NTfIEQTVpGEVSSxSw8r+wliKKAjMBMn8nGKYdhEeqtr+GU1KjGARCUGIQR1+mqK9VfQaCJPmUOSGIuX3VTr31MlFzJSfYQgjSiYaZTbcMn1qMRQKb8iT5mDwEQINx65i0a5mThRQL1ci4UEbCKTXOUCzCL8cN+u/QMzcVTK/yEJp6t2kMwpXE0uQ7s0lkeTUnGs4Je1VOuLKJUfkiwmECfCTstBXGjSj44PBQs18gdiyMXFWvool3KafhKNzc8njSAKKhUUUU8ZdZQSJMBu1hoKxRHgmFEoEhMTqaurI4N+DOUU+jCCGBI6PHY98/mSv5PFQAo5iX6MY6mpqcNjuotLX0+CMgQIa+FNlOHTK3Cxjr7KbKrld4Twkql0Pa1uy9tHUDbgoxK/rKZK/w4320gUo9FkizOdgkQjhI8m9k1eJVCwEk8BZhIIUEOiGENA1tLIpqi1/xj64GUHAGPUZxFCoVZfwW79LQrVu1ih3UiOciF1ethK0Vu9hGlaIQt4lZV8wvncSRYFfMBDnMLVlLGV7/g3PtwE8aETYiK/YBThOhBhZ9R/sZ5vIssgvRhMP46jkGmRt8WWB3d7b2Iy9GlUGG1PLnlU6N+wS3+DBDGEgHRhEWFTr4odm0gjXgzCQd5hLS98MBYKr76HDfqDwN7lC4BUMYlEMRwvJSQyigDVeClDlz7ilH4oWIghFyEEUuqUyy9IFhOwiL2/Q11qKM2WFU0GcMtt1MrlBKglJN3kqhc1K1qCrdqz1Ms1JIihNMiNDFRvwiqT2C3fRwBB6UIKnQa5t1hYLH2JFb3RCRIrcvDJSirk10we9ks860e2sur4ZS2Ncit1cjk+WcFg9TZUEY6KaZJlrNPuIVVMJFWqDOUUPuUJGqjkGv4ZWR7pKkdSuegpi9Xhwi+r2aQ9xlDlzygdFJRz6RsI4cEpClFFuH/t+c94qOdFrjYUiiPAMaNQtHwpV4nn2cVaPufpZidAiMHJWM4lndbOPSECfKmsoFouQsGKJESs6EuaMvGQyLuvQnE4qNYX4ZMVaDQh0VGJwSzikBLK5ReECK9JjlafQhHm5rY+GuVWArIWVcSgYsUr91ArlxEvBkc8xIep92EVbRey2q29S4PchECQr/6SGrmEDHEaoLNe+ysZyqmkKscjpYYQKtWhF7Bgp4EK0ulHCD87Wcs0rmr1NhjEx3f8m1pK2EM4rXcKvRnJDAYykcWm9tdZl4aujvo8hyeJJ61bD3kpJXv0/yNIAxnKKQhMWElG6WJioqMFr15CvVxHiQxb++IYQB9lFhaRGLXM0EKFPp9UMSmiKLQQkl5q5GLSlZNwyx1s1h5lgHojDvq2ssxIqeOmiAp9PjEim3RxMl52sUP7Fz4qcJBHinICZfpnqMSQo5yHQ/SLuqZsThx1sFYfTfrwyxqsIpVGuYly+RVxYgAN+kZO4xdkM5AilvMhDwMdp37vKoYF49DTomC0LH8aCsXh55iJ8igoKGD+/PnEkMBATsSMlY8IlzVOIJ2vxTwq5XwSxUj6qb9GSomPCnZqr+PTawhSB82Frarl9+zUX6efcjWJyogj16kukprnp6oo+q0pRZnQbvt0OYUV2o1IQpHJr8X03JajYB7hMrhbtKdwyfVRyoQmfbjkBiwikRiyyVHPpVFuZ5P2MGu02wEo4UPs9CJFmUCSGAnACVo4PbbG7wjgxUosO1nDD/wfhZxEJv0j16innH/yO0CSSQHJ9EKik0gm6/iaeTzXHEEyps2x2J/pXEd8FxM0SSlZo92GToh85UqK9JewiQwSxQhylNa1GtqiVP+EEv0D4kQBfZRf4JeVhPDgk+VYRCKV+reYRCxeuZuRps5FC7RHZ8ZhX6SUlOofU8cKHOThFCOJU/Lbdf7UZBN2cvDKXcTSJ8r6EsKDvdmfwEoKFlLYpIUn4zj6YxVpzf4MWQhUfJTjltsIShc1/AAIfFQwTL2Pan0hAVlDnjoHh2jb6z987bYn+M6MQ62+gh3y1chnGxkkySZO4TqchP0I8hjNDbzR4XkOhoPNYNpVRaSr98OPiZax0mQT9FzBVYMucMwoFOXl5Vx22WVsEV5U7OQqFzKCh1GwsEK7AWQ4yYqlOQ3zSu0mNLwADFZuwyqSqJOrCXsYm3GIPCwkt3e5o5KYxBB0wQyrCBNjTE/TVSPUAPX6VtsC1LJdb13Iy0IKIRoJlzAK0ovzcCrRBaQ81LOAV7ETRwkb0dGopYSL9kuqZSeeFqVvEBP5mhcBKCFs8h7JDBpN4Qyf7Y1FpjiNMhmuqLqAd6lRh3RqCcIjd7JBux8zic3KJxTrr9JLOYdEMRJVdC62vkT/iFL9IwAa5WbWancQQy5xoj9uWUSSGE1vdSYClQ3a/SwNXc1o9ek2LQOdoSv3hCb9lGqfUscKEigkSRlDkhiFIlonxpJSskK7AZ0gCRTiowyBiaGmuyNtbCKVWrmMODkAs3Aw1HQXQeliu/YiCWI4MaIXXnYQxIWZBGr0JThEPiliPAmikCbKCEoXVpFEtnrWQfW/K+OQqh7P2aHT8ONFa3Y4bSlUd7TSliLSkZLR1WfEj4Hwy856EsQQVGFDk74jLdJPlmNGoaitrSU2NpYTYl7CzXaK9FcQqLhkODnTcPV+zDgjk8dI9RHK5BeU6O9RJb9Fk15q5TJspOOjAhNxjDQ9fCS7dNjozpp+UDZgIg67yGKsaS5eWYJOkAr9K2rlUqwkM0T9I02U49LXUSo/oFZbQi/lXCwinFyqNPQkFmxYiKGaXUC40FcRy8ljdORaVmK4gTcoZgUf8BAQjtKIJxVdPQmTOPDacC/1HBLlKDZo99FECcu03zDWNLfDY/yymg3a/QAUqrdjEgcfhpkpTqOUjyKf+yizSFVOiGqjyQCNcjNOMZx6uToSkXIoCcpGNmgPEqCaBDGUbHEWfqraVCYAGuRGdAKMUZ8LK5PaP/BThZQy6n4K5x3xYmoOVTaLBNKUKezR38Mh86hhCSCIF4MIUEOKmIBTCRePiiEbRM9lmewMAiUqrPpYpEXJ+Kkvo4SkNxKB1oKKHUcbS98Gh4cuKxTFxcVcccUVVFRUoKoqixcvZv369cyZMwe/389ll13GnXfeCcBXX33FLbfcwsyZM/nDH8IZFYUQ3HbbbfzlL38B4Oabb6awsJDZs2d3eF1VVbFYLAghiKMfBepv0WQTdXIlZpLZpj2Ph2KSxHE4RSFJYgxZymlkiFMIUk8IN5lMxyXXE5AuPNLIztYZVmm3tNpmIp40MZEUcQLVciFVciEq1ojzXI1cQo22hHQxjWzlTBRUKimmkDwu5WHsOGiklq95gQ95mJncRzp5bOB/zOM5BnIil/EY/+GPbGUxY9RnMXVh3TyGnMjf2UrHb75SSoK4gXCOg+4oExC2Co01zWWH9m+q5AJ26K9RpX9LkjIWnyzDJytQhI0EMYgM5RT6cfUhc+KUUrJNm0sDmyOVXBWsJIsxhGgkRuS0OqZOX029XIVPVpIrZrJBux+LSKSv+gvsIqtV+0Qxkhq5jDQmR/qRKEZhUZNw6euwyQwUrAxQrqc7/g89wY+tcNrhTjF/tGESMYw1zY0oufX6Wrbqz5ClnIVLX3/A47s7lxm0psu/7tmzZ3PvvfeyYcMG/ve//2G1Wrn22mv5z3/+w+bNm/nkk09Yuzbs1Pf888+zcOFCVq5cidsdfmg7HA5ef/11Ghsbuy28KuykKMeToBSQrpxEb+US6uRyKvSvI299ilAp0z9ng3Y/W7SnwmvyYgQD1Bu6ff2fAqPUJ4gl7G+hYGWk+ggjTQ+RrZ5FjnIeo9S/EZIekAoWkmminCTGMkS9jWQxjpD00CgE6eRjJw6dEN/wMntYz8+5h2Gcyhv8iRe4lY1KBbH0ZhPf8Sq/J4gfoMuTkBCCMeozpImplOgfhuVrh7XanWzUHiBNTCZdnHzwA7UffdRLGGuay1jTXPLVX2InC6cYxgD1twxQryVdOYk40XEyKE36aNK7nvUvKBvZEHqAZdpvqGc1NtLJV35FgXIjw9S/YMZJgjIkKl+ET1axNHQ12/S/kyzGkaxMYJd8g3TlJPqrv2lTmYCwT45TFFIr9yYWF0LgEH3JVs9iqOluhpj+iBDiiCkTx4ecPzplooUfU79c+nq2ac+zLnQvAVnX6eNCNLBVe5YKOR+nGMZG/YFOHdfduaynWbBgAWeddRZZWVkIIXjvvfci+4LBILfeeitDhw4lNjaWrKwsLrvsMkpLo+u91NbWcumllxIfH4/T6eTKK69sJe+aNWuYOHEiNpuNnJwcHnrooR7rQ5csFOvXr8dsNjNxYjhCIikpidLSUkKhEMOGhc2YM2fO5KOPPmLo0KHouo4QAlVVI+v4VquVSy+9lGeffZZbb721xzqSrIwFIE2ZFLV9eegGBAqD1FtxiL4HdW5dhnDL7dhFBmbRcajqocRbd3hXqHQZCvunAIPVP7XKYNnyNp+jnosugzTqW0hjMhnKNAQKK/WbSBUT0QnSJLLZJupZr/8dP16aRDoL5eXYyaJQuQcQuNmGXWShYqdBbiKewWi0HeZ7oLEQQiVX+TkBvYaV2k2MUB/B3EZ6b7vIQkqN3urFBzFCncMqUrqc3Apgs/YEXnYxRnmm3Tb7j0NA1rFaC1fkjaVvOExT9Insl1ISoPXDerP2GKniRPqovwDALMuxk02KMr5DGb1yD35ZRaIY3tluHRLaux9+TBNuZzjcz4iuUqevxiXXo9GEhg8bqeQo51Mjl1Ksv4KCmWQxvs2kfS1IqeOS63DJjTRRioVEEsRgLCQTxEUyE9gu/96hHD0xl/U0Ho+H4cOHc8UVV3DeeedF7fN6vaxYsYI77riD4cOHU1dXxw033MDZZ5/NsmV7lflLL72UsrIy5s2bRzAYZM6cOVx11VX8+9/htPINDQ2ceuqpTJs2jblz57J27VquuOIKnE4nV111Fd2lS3ff1q1bcTgcnHXWWZSUlHDBBRdw6qmnkp29dx00Ozub//3vfwDMmTOHCRMmcNFFFxEXFxdpc8MNNzB+/HhuuKH7VoKQ9BKisc3EOQCp4gQq5Nds1MJx94PUWxEonUqHHNBdbNIfxU/lfnvC6WPzlauwiXRiDtM68OH23t6j/x8pTKS3ctEBnQYVYSZfvTJq22D1jyjSzgb9fhCSAuVG2Cf/Rro8mdXan9gpX8cvq8lUTidLOQMzCQhM1Okr8MrdbV6vM2MhhEJ/9Rr2aB+wSruZGHJpYg+JYgxpyiSCsoGQ9NBf/c2BB+MIMEC9jjp9bavtmvRRqn9OpjKNqqLoJZomvSLyt4diArIG9lEohBAEZG0kc2oLJhw4xTCkDOeJNMs4/FQT0BqwqHsdF5tkKUHZQEDWExQunGI4icrIHuz1wfFTjWyA6KWPo3UcgtJNif4BAkGmcioqdir0ryiVn+DVS7ASVritpNFHvRRNNqFJPwFqwn5cIg4rYcf6Mv0zLMJJrnIhNjJaWb46E+XR3bmsoaF7KcLb4vTTT+f0009vc19CQgLz5s2L2vb0009z3HHHsWvXLnJzc9m4cSOfffYZS5cuZcyYsPP6U089xYwZM3jkkUfIysri9ddfJxAI8NJLL2GxWBgyZAirVq3iscceO/wKRSgU4ttvv2XVqlWkpaVx2mmnYTa3H4s/Y8YMZsyY0Wp7amoqZ555Ji+99FLXJd6PADWs1/7KCPVhzGKv0qLJJlZovwMghl542YOVNDZqD5KtnN2hQiGlZIf+L6rlQgCylZ/hk+XUyRXoBAlnq4ynSP8HEo1Y8jALB0HpxkQsu/V3COFlmPoXFGFCSo0gjViEs1t9PZxJa8L+KasZpv7loNb4pdRp1LeSopxAqjieCvlVqzaqsDHK9Fh47VOG38KLtJfpo87CLjJwyyIq+AqrlkGqGv2m3JWx6KWeTZIcRVC68ckydsk3qdXCWTxj6dOmL8HRgEnEtuo3QKX8hnL5Kb04u9U42EVGS6AMcaKAJGWv06tX7saMEytprR7CeeocyvUvKdU/wcMO0pmOwMJqeQumkINY0YcmWUqAWhLFKJpkOT5Zyh7ePaj04j3NsZbQqadpUSqOxDi0+DCEpAeXXI+Z+CirXL2+hjL9M7KVs4lXBkaOy1LOxCJTcMttgKSXcg7V+iI2hR6lka0IFNLESVhEIh59B265nSzlDAapt2ASMd2Suafmss6wv/JhtVqxWruv+LlcLoQQOJ1OABYtWoTT6YwoEwDTpk1DURSWLFnCueeey6JFi5g0aRIWy15n7OnTp/Pggw9SV1dHYmLi/pfpEl1SKLKzsxkzZgw5OeEH8IwZM/B6vZSUlETalJSUkJXV9nrrvtx8881MmzatXY1sf5YtW4bD4aD36PB6eNCnULreTr/CFGLWzyU1z09MYvRaeUrdA+zYVsKAodnsWaeQOqQSq91Mhf4lDrEAC/GUlpRRWruZrOwM1OLT6TfGRIPcgpABxombqJQL2L79W5KZQGHsnbiqA/QdZkMlHEYYkLWYhZPSdTFYkmqp9+6hUi6gV342Nj5HEWaaZAkWdGqXj2JAv4G4Sq3EJIVwZgaj5G3pU8tDIdynaNNfS5x5S5usIU2YbdFRAvVlZry1JpxZQaqKrJEx25eWNxmzXcdbayJrSPTSQpBGNq7xY07ehsmXiSJspOb5W51n5/JYUvP81Jeao/qko5EiM7D4Nbat2cO4oWeib6TNPiXX5VG8JZ74IWuI3XAh+YUJ+K1rQDYwTFxJvVxDsKyJmPrJkT6ZbXqrfnXcp0QgkdL1AxiQdAIebwNNcjf5/foh9ivX3V6fuvI9eetMPfo9qbYAZdWbiStcwwgxhbHiONTmsGizTScmKUSwSSEGB2P7hJf/cpQLUPAQwMVHSx4gr18uVSUOhqVegTNz77VCePE2+Vi35nuGDx2DZeP/IyWvCVviJMr0L5pTIFvx1+VStj1En0Irq9dWcsqwm4ixx2HCGhnDnrj3AErX2yN9Ag5473nq1FbXCvoUWO3EPNRFcG0Cpn5u1MTo71KrMxPa5oi0MQ91oez3PYVKbei1FtTsJkLbHFjHtl4yCm4PW4qEXUOvtWApbP0GG1gXj5IUQDaFk3WZ81uPjX9pIqZ+brQSO0pSAFNWdAik7lMicu7fp96KNzJWh+IZkTaklnq5Gj1S6AvWrV1PclIK/iYdN9so7DcJn9wYqW8TK3JZ+sM79OvXj8SyvjiSA5Hfk1vuIAYXdv9EytbFIwa/R9laDyP6nUZW8hUAKIQnPm/diZRvl+QUygP3KT0A21t1J4qemsvE0iSEve1pVDSFgKLINVq46667uPvuuzsW8AD4fD5uvfVWLr744kjSrPLyctLSovPumEwmkpKSKC8vj7Tp2zd66T89PT2y77AqFGPHjqWyspK6ujoSEhJYsGABv/71r/nwww9Zs2YNQ4YM4Y033uCFF1444LlycnI44YQTeOeddxgxYsQB248ZM4b4+Hh2Ll8Ztb1FGw/f/K21vgTFScV6MAuo3xCPX1azXluPgyaSlbEU6R8AULNtE2PUC1m7dAtb9X+iYiXIUnpxHvmmsCnf2wBmYM/yfa+w1+QcKkvFQiq9GIlcISmXa9mqz4VIWOBSdmxxUKjcTtDnxFXadshee33KGtIU+ZG3tOnobaSlbYfVB5ufjfu3kdKOrtnYUhKO4OitXszO5W3fLi3XcZVa9utTISHpQaBSvM5DjhJo93tKZARb1m7Gz/1sWA12skhSRiPFGFZo/0JnKf2VFIJF4ayaLZN6V/rUQljGFMyksGt5m0066NNeDnTv7dvmYL6ncu0rdsu3iGcQDc25OCxLkyhUL4ykH84a0kTQp0TJWF8zlq36s2wSDdjJpEmWkKtchLI9iUb5f636tC70KE2UUiB+R9XaIlKUeqqLnGwN/ZN6VqFgQSLor/yabKU/TRvc9FEHU7+hL/Vd7FMUnfqeWtp0fO/FJmptnqfUVM/xa50AhLY52l2ZD65NiPq/LULbwj44+1a5bY/22mgle+8Df23b91XLdbQSe1T7tuRt6VN4ySP2kDwjZK1OuZzHhh+K6KX8LMpBN5/ToXmVLR1oWhEONffKUoRQ8JPEKHUS6g4rGlBRUsW2PVuol2uwkUYv5Vw8hFin/YGUdccTJ/LwFg9g947W46cKKG0O3uioTzU72h7XfenJuexA7N69OypTZnetE8FgkAsvvBApJc8991x3xetRuqRQmEwm7rvvPiZNmoSUklNPPZUzzzyTlJQULr74Ynw+H7NmzWLo0M4V1rn11lv55z//eVCCt4VfVuOXNcQr7Zc3t4oURpn2ltk24WCL/jSpYiLrtHuIFwPR8UXC7BL2S9LUWYQQOMUwxoinWK89SFNz/gUNN8X6a+SLK7tstttfIz+UCKEwzBQO7V0VugWpaeFEQCKHWNEHO9kHXAqp1ZYTK3pToP6WOn01JfrH5Kjnttm2j+kSGuQWNOklVvSNqg8xQn2AnfqbbNWfYQh3EKNkH9axOFKUyy8BaGAjQ9TbWK/9lTgxgJXaHxilPoYiLG2Og1MZxijxZDg0Wij49SpK9PfRCBAvCqjSvydVOT7SPkUcT5X8nhL5IW62kcrxaDJAiEZi6Uuc6Ee9XEesyKVRbiGke0HhoJ2cDwUd3Q8t/gVHm4NmeyGfXZVz3/P09O/Cpa+nXM4jTgykn9K5EGeziCdBtE4YFpIeNmj3k6WcQW/l4r1LwNJEghhCrVzOSFPPRRx0RE/PZR0RHx/fY6m3W5SJnTt38vXXX0edNyMjg8rKaH+/UChEbW0tGRkZkTYVFRVRbVo+t7TpDl12CW7LcWT8+PGsX3/guF+A6urqyN8FBQVoWs/lSFWJwS1/wCqTO1zT9ckq3HI71XIRjXJzZHu+cjUClVq5AisZ5CmXYVPaTkncWYRQGaj+lpXa3vLIDaxnjfYnMsWZpIjxmJWjO9FOqjgRu8gmVvTGI3dQrS+miRIyxXQcIr/dmha75FsEZT1DuIN4MSjik9Ie8WJAm5mVVWEnRmRTI2GH/hqDRM9FBx3N9FZmskN/gxB17NTeIE+5kiL9H2QpZ7abkKoFVViIFwNZE7odP9VkiRmUyk/IYDqb9IeaQ0YlTbKEcjkPMwlkKtOxiVlYRALl2pc4RD7xogC3LCJVOREvpcSJAhSTifLQl2jC1+kMokcDR5Ni0VH+iO9N9Z2W8VDlodBlkFL9YzSayFd+3amkcgeiSH+J/upviBP999sTTo4WogFdBg54b/cU3Z3LDjctysTWrVuZP38+ycnRmZ4nTJhAfX09y5cvZ/TosO/U119/ja7rjBs3LtLmtttuIxgMRnxG5s2bR0FBQbeXO+AYypTZGUwihiy1bceZcOXD7WzRnyTitQYkMoosdQYxohea9NEotzFCfahHkw2ZhIMx6jPUa5vYxlNhefCxR77NHvk2I8SDRzQc9UBkq2dH/raKFJIYQ0h6qNC/pkJ+TZMsJVWZhIIFC04SxBAUYUYlliD1NOmV7BZvkakcnFMTQIZyClaZxjb5HMu035Asr0bK4Ye1sufhpFFuo0h/CUF4vd3NduJkf8wk4pbb8MidnYpUihV5pMmT2S3fBMxskuE3wF3am/ioIEOcQr7yK2JFn0gkjy41dst3iWcgOep5JBAudheSHqr1xYBOjMjFLYsISTeSECn7WDyORqTUcFMMwFdqDCdrB2d5PFo4VIqEJv1Uy++p0X/AQT+ylfMwie47EAZkHWacbSgT0CA3YMJBX+VyBOFJbqf2JunKSe3WmPkx4na72bZtW+RzcXExq1atIikpiczMTC644AJWrFjBRx99hKZpEb+IpKQkLBYLgwYN4rTTTuNXv/oVc+fOJRgMct111zFz5syIL8gll1zCPffcw5VXXsmtt97KunXreOKJJ3j88cd7pA8/KoVif6SUePUSvOxgh/xXZHsf5TJ8eiVuikhXTiJG9ALCUQdOUXhIZBFCJdE0hPTQqVTwBSYSCTUvIqvHYCpgk4iN1F+o1ZdHnKdq5TI0fKSI8eQq57FVfw6/UkaeuDIqCudgSFSHUyjvZJ12Ly65gWXaXOLFQArUG7vbnaOGem0dHooolZ8AkMoUqvgGgDL5GQ7y6atczjbtBbKUGfSm42WHgGygljebP4WtgWaS8FFBH3EZTZTgZQ9l+uf4ZBl+qokhF9Cwk8XO0FtkKadjVhyE8CKEIEmMjfhwQNiL3yerjpqHvy41/FQQkHVIdAQKOkEcIh+BCT9VfKGuZLJWgJW9y44+3DTRQCIHdio/1LRnpTjUmTGr5AJ26+9gwoGHYuykY9GTcIg8VGGLhHF3NTJKYG6OkNuLLkNUyv/hkusw4YgqdKgToEh7CQ/FFKp3tptY7cfEsmXLmDp1auTz738fTit++eWXc/fdd/PBB2F/v/19DufPn8+UKVMAeP3117nuuus4+eSTURSF888/nyeffDLSNiEhgS+++IJrr72W0aNHk5KSwp133tkjIaPwI1Uo/LKaPdr71LIUgCxxFoXqndjIpImSsAJxhDIAO5XBVOhfEKKOWPLwUMRy7VosJDFM/WuHb9z1ZUdnuex9QxOlruOWxWiyCSsZSEJkitN6LEtiS82I3aVhN+4GuYkt2lPkKBdgF5k9co0jyVb5NAD54ipUYaNU/xQ72c3/sijhPSwikT7qJazX/kJG6d3s6xis60F26f+Hn0pCuCM5VFRicNAXnRCpyons1t+mSL5IijgeO1n0U36NQKWRrVhkIhbhRCeErgeplcuwaInoIkCiGB6lTEDYZ6NGX4ZPluNUur/mfDDUlGoUa6+RKEYgULGJNBwiv80lGVVm0yA38bnyLQ1yAwliCAIzhXoiNeymABsOktq4Ssccqsm+K+etLzMTkh78VBOSHqwiJSoj6oHIUE4hXZzEMu1aAHbo/6KXch6l2idkKCezTQ8njDpQfZz9MQsHGp5IiGlL1VuQ5ClzMBHtFNpXnQWElcOeKiF/tDNlypQOk2Z1JqFWUlJSJIlVewwbNoxvv/22y/J1hmNaofDJSiwkEsSFhWRcci2N+nbK+ZxYepMqJtNLOSdq/S+GXkdQ4nBuABU7Gk3kiPPYKd+kid0EqGW19ieGqH9q903eW3v0f10mHJTLzyjXPmOAciNpYgqNcgvxYuABj+0M4Ux648iu/zlZJgdNspwS/QOKtJcZYvpTj1zjSGIilhAezEoCDvLwKrux4GSX/ja1/ECCKERKSYzoRbqYxrLqB4nRhpGnhkvPl8iPqOMHkjkBPxX0Vmc2JwoTWMTeNdJkZSyV2jekqVOirh/PXj8WBTOoduwyCzPx4RwX7eCjnDgxoMfHo7PU1dajYCJG9IrqZ1sIoZIgwss4SXIMgnBa8FIFoA/f6ZsYp+ce0FLR0wrE/kW/unp+XQbZWvU5MQzBSioxohc+KqjX16DhJ0mM6dQSoRAqo9Qn8VOJSgxWkYSdTLbqz5AiJuCnFl0G2/Wdag8raXjZTSy5LNN+g1MMJ12chLkNB84WFKG22lanr2KbPpfBym3EKkdnDpmfKkf/DNWMlBJVVTHrqUg0VOw0ETa/pYkp5CjnYxUpJKhDyRFtRxIcDQghGKk+xhbtKWpZSaHpNnaH3qOczwhSR71cRaqY2OaxLTHjRzNxSj5OOYygdKMTpEYuwUQs8fSMQqEKO3nqHFKy/ZRt96LhpVFuQaKhS63NB9Cxgi5DhJrzORRr/0TFho9y8pRfEaIRO72IIRc/1ZGUxZ7sBnZs2xMuBKb/nXq5ilHKUzSwgVh6dRiJYRHJhGTTAR3u3HoRsSI3nHUTEKiYhRMFMxYScbMdi0xCw0O9XEcQV6sKqweDT1YgUNEJYCMd0c53G5RuTJlbyCm+oMuTXFv3S7wykMVswC6CWERC1NJDd5QIXYaok6tQsaBgJVb0Qe0B/4QWBCq9emURKN5bbdNOFnaRRUC6aJSbO63Yq8IS9fIVTruvYCcHPzW06T19AJKV46jTV+EVe0gTU+mtXtTlcwAkKiMYzJ8I4oLmQoB+WU2x9k9iRR4B6Tqo8xp0HyEPVWLyHqKhoYGEhARcLhcLFizgt2f/HzbScKhHT8had9FliDXa7QSbo/qzxc+IVwpwiGO3DO9m7W80yE0ADFcf6HaW0H3RpJ89+nsRs66HcOXYrpphj0ZK9I/QpJckZSyx9EEIgSYDbNQeoIlwIaAUjsfDLpxiGGXyExzkI9HxNDsd9lYuwa/XkGNqX7EOyDpq9eWE8JKqnIhVtG/ib9SKkSJEvBJ2qNNkAD+V6ATQZBMCU1Sodr2+Fh0/ScqY9k7ZIX5Zi0cWYxPpSHRUrPhkJQHqsZGGIiyEZCMSiSrsWHDilzX4KCddmXrgC3SSGn1J87q/wCbS0KQPu8jucKw06cPLbiwkYyEhSgmq0ZeRKIajCDO6DOBmB5r0kqiM6BF56/SVxIvB7SoptfpKnGLIQUVR7NBeJ1GMpEz/lARlKFZSSepCynW/XkO5/jU1fE+GcgoZYnqPKv/haUzikuuo0VdQy2JcLlePhWvuT8u8VPP3McS3k9iqoSlE8q+XHVI5jjaOGQsFwJlnnsm9asmBGx5jCJSIMgFQIt+nRAMb6QxRb4s8AHqP9nScKOgookC9ESn1sPm+i86YLn0DZfIzFMwEpIsQbiw4UbCiCDMSnYljT6doucpWLaxEWEjCpW3GpnQcMny0k62c2WpbizLhIJ9kMR6P3EEMWThEH04eO4slPyxioPp7GuUWvOwhRvbFT01kvXpfdBmiRP+QRGUE6cpJANTIH3BJHxKdJDE6KuJIl0GCojbKCS/q7bWNF1WnMhSfrKROX41AEKIJCwnEijzUDiazBn0TQdwEqCVTOTVqn02kN1egVJBoOJTwC0VIummigsFjk9mzrGeXXJLEWIRQ0GUAnRAmJQaXvpEAdTjIQ8cf8dFwyx0EpQsVa9giQD2NcismGbb+qMKOjg8NLwoJKMJCPAPwsJP6SL2W8GBKQqjY28yn45V7mp1NNQQmzNJJjJJFo9wKCPLGhNi5vG2FwimGUC/XkiRGt7m/IzxyB7niQirFNySLsezS3yaJzisUVfp3VPIVg5U/EqscODqpq4Tv83DunzjRn1ptcY9fw+DAHFMKxY8VIRTGmuZSpS9ih7430ZePCpZrv2WAcj0ATdKKS2+dgvhQEKCeGNGrU6GJ7SGEgpnOKxNuWcwm7REkWrhQFRINLxKJhx0AjFGeRQgFkyhno3Y3fZRZVOjzaWIPW+TjoMEo9W/HVH6EAzFEvR1N+vCJSgJ6DQ1sIEgjNfpScriYAvUGFGEmQQwhXg6mkW2YpINauQIL8VGheoow4VQKCelepACPKMIphiKlxEMx9fo6pNCxEFYq3LKILOWsLr9N2kRalDOgJn3s0d8lRzm33TfkAC6SxXFI2k7O1JZvhEk4iMOBCU+7SyIHS4sjsSIskSimBGUQTbIcl1xLg74VC8lYlQSsIpVEZW/FVTPxUdV5Q7KJGNG7lUIVK3q3qZT5ZBX1+hrC3uMtRmSBVaREHF/d+k6CuHDJOuJE/+Z7vnUK7RYUYcFKKrX6SlpCfzsTmRN++1fQRQAhTezS/0udXEm1PvSA1WgBGvWteNjNGPW5H22Yt0EYQ6E4ikhVJpAixlGmf06J/IiWMD8FG3FKPnbhIUE5fBYKtyymXl+DjobSnA9BwQpIdILEitweyZ+xMnQLIcK1D+JEAWliInv097GKZALUMki9hRhyCckmYF8P8XCWxyR1FBp+vHIPW/WnWan9njGmZ7st19GCEAortXAIWaqYiIk4cpWZJCrDSRIeGvfxGxBCEC/6E6/0R0qNOrm61YRlIZF61lMnl+MQ+TRRToO+hTRlIkHFhV9WoxP2rldlDB65AwuJ4VBCuQOv3IVFJGISccTRv1OThIIFs0hoV5mQUgfCJaJbcm8crVhJook9pKrHhyvW4kXB2qZFqIWuJoayidQOJ/uW0NhEZRRB6tEJROoLdUSsyCVW5CKlpFp+j5VkJBK33IqGD7vIilIEpZSUyU9xikI0/NTJFeQqF5GtnEWTrOjgSmFCMlxLZoB6raFM/AQwFIqjDCEUMpXTqNK+w0QsXnYR1BuPSJirQ/SNTEbhB75Ax49AQWDGww48+k5UEYODvIMKDZVSEi/6UyuXkyFOJU70I45BBBU3u/Q3gHDkiCJMrNb+QH/lt9hJI0FkEEd/turP4pLRJb4leqvy3Mc6/ZXraJSbKZfhEsYJouPETFJqVOrfomCmSl+IT6/CJtIQQiUkG3Aqw7CJcFGgJn0PFhLwshMzzsibtlfuQUfHSgohGvHJCmJEr+YQQD8SLRyGTS/q9FXEit5RVgQpJT7KqNYXUS7n0U+5ul15hVBw0I86fRUWkUgMubjZTkDWYRGJ2Ejvdh6T7uKWRVhJCy/BiRTsIhO7yESXIZoopU6uJEmMOiyyCBRU7DTKLZhELDr1ePU9QOcsikIIkhhFvVyLQCFODKCJkqjCXwCl8mMEgizlTALUIVAIyHpsIhO70n4UTEuCrFjRl+SD9KUxOPYwFIqjECEECia87KK3uIQkdcSRFikyOe/7FuQgrHCEpJsq+R3xDOp0cqOgdLNauyVi3s4RPyddmYqfKoLUky6mYBdZbNGeYK12JwBJjGOrHk7Scr54hIGmMwAo0T6iSZaTrk5mm/YCaWLij0qZAHAqhTgppJc8l/XaX6jQvyZTnd5u+136W6QqJyLR0fHjphiNeBwijwBm6vS12EUlOiHq9bWkionEKX2RUtKkVxCUjYREI8mm8ARpISGiXJqJo1ZfiYkYKuQ3SKlRwyIA+orZOEQ+a/U7iBcDsZAcSbl+oNofNpGKlWQ2ao8QpIEkMQqrSKVG/wGdAHnq7O4P5EHilSUomPFTjSSIg/zIPkWYiCUXiYZfVh8WHx4hBAkMxiU34JNVqFgJ0YjspEIBYb+ORBFWHqWUBGQ9ScpehcilbyAo6+mtXIoQAr+sRqJTLj/HIfMix+6LJn1UyG9IEIMIShcOpU+3+2pw7GAoFEcpvZRz2an/h+R91iiP1pBRk3CQykTq5EoCsoZ4pePQtM2hJ2lgA05GkK9cST3rmt+eFVRpp0ZfRgg3brYj2VvrpZYlkb8rt+81n2arex0ZD1dxoSOFEAoDlT+wUv8dcbKAqqK286pki7Op0L4iQR2KJpvoo16CEAqa9LFRfwCAGNmXBFFAljKDIC5qtZV45A4SxWg8FJEqTmxXDl1qNLIVl1xHjnI+DpnHbvkWxfIV8kS4Om9ANtBAONKnUL3zgMtjLn0DW/QnSRETyOOXCAS1/IBLrsVGeqSdlJIANfiaTe5xYsAh+23oUsNHOY1yK+nKlA7bBqUL62HIFhqSHtyymBCNJIkxUaGy1UXt1VNtG0360PDjkTvCtXSaqdGXUiuXkqdcgRCCkO6nTl9DkhhLupiGTUTXkajQ51OtL6KJchLEQLKU04hVe9750uDoxlAojlI0/OQo53XoFX80EU7JPKq5Yqi/zdA1TTbhkpsI4SZDTCdeDKCBTcSJfMwinj3aB1TL76MiXlqIFwOxkkKCKCRRGYEiuvbg/DHRMray3WLchGupKDaspOBlF35qsJGKThAT8eQo51Gsv4JX7kIiSVJGo2JFJ4BJxJIhplGhz0dgIl2d3Or8SWIUy/VrSOFEkpWxAMTJ/mzVnqVWLsVOFjT7QsSSR1A2Yu9gCT0kvWzRn2SYch9WJYk9oQ8o4xOQUKD8DtM+zr01cjGxog/xYjASjUa5GV0HRQ7och6KjmiSZVTr35OqTCJO9Dtg+3gxqNnHJIREIgkSK/ocMNFWZ3DpG5q/bwWBCGf37KZPgpQ61XIRDpGHTaRiEo5mn4lPCMoG8pVfR5xxBRCigaCsp4r/kSXOJCjLqdC+xstOPOykl3IeGeIUw1fiJ4yhUByluOQ6UkV0ciCzXae5/MdRSyw5eNlFHOHIAq8sISjrgbCSlChGkGSKDjcLSBdLQ+H19WQxgd7KTHbpb9AgN2MXmfRSzo3UWwHYoj3DSNulgPNwdOmwE5QuKvRv8FGJtTkFtE2koxNExY4ug2SIU4gT/TDbA5F7okFuwSt3YSMdh8ijUS+ihhVkKCexW3+bJDGGJDGGeAbRIDcyVPyFtfIOPLIYXfPT2zQTqYUnaJtyPBnqyZSEPqVGX4JKLAKBThCBikfuxskI+pp+EZHbLjLC4cIEI/4ZAH5ZQ6X+P6pC35GsHEe8GNhq4lexEUd/tusvMli5hUx1OgG9FptIbxU+Gc7aGU6zLgiXvo6P8VFctxKzjEeiRXJUxIl8Dha7yMQh8ju9jKcKK/Fir6xS6jTIjYRwd7n2xb6ELTL1JIjBB8zn0pVnhBAKJhmHQMUustBlkBL9IxRM5CozoxSDgKhDiiB9lcsJ4KJE/4AaGQ7NdFDAGPXZH90yo0HXMRSKoxSv3INDiU5sdSyk3nbLYmJFHwCCsqFTpuIi7UUGKL8lQdnraNhHuWxv3ZX9GKBeS6Cu7dDCHwMbtYeJEwX0Vi4ihAeJjl9WIVAI4Q3n9iCBen0N7mqdUMiMqtgp1T8lTTkRl1xHlfyONGUy8aKA7fo/QMIu+SYW1Um+aQ7V+iLqWM5Y9Tm2hZ6nkm+oDH1DOtNRMFEWmodNScWixJEghkVFKQSlm536GxSoN7SSva2kT1aRTI56Hg36Vsr0j6kVy0kSo9Hwo2JBoBInBpCtnkO5Pi+cFVdY6aNcyhb9adxaEf2UX0eqobbgk5X4ZCUJYjBNdRaSxFgkWqSdX9ZSrX/fqhKqLkM0yI3sdTJW94ksEQgEEg0bGXjlbhIZcVDfoxAKCWII9foaAtLVXJNibxSLWSS0m85cl0EkIQK48MrdYX+UTiSH6+wzwi2LqdQWUssPSAI4xXB0/KSIE1ql6HbrO9ioP4CVNPyyBpNwEKIREwk46E++MttQJgwAQ6E4aokRvSKZAVvIGtJ0VCe20mUQDzvRZThe3SQcpInW5vIWpJS49PU0spVGfStjlb2ZLoUQHdZdOdrHojtIICDrcctiBApOZSgxIrvNtr2Heli3pJoa+T0QIkkZTRJ7Exc1yVLq5ArSOIn+ygz26O/gZBhpyhRK9A/ZpD2OIiyMVp7BrW2nmDdwMghVWAlJX9iHReiRZSyXvhF/cwpu0z5Vcv2ymkr9f83ZPBVCsoF05RQSxbBIqGi80p84cQObtMeJETnhZQwRzjVSoX1DvDKQGHqxS/svueqFKMLMQPV3LA/dyBrtDhLEYNKUSQA06JsJES5+VS6/ZOyQMexZnoTY55FmFUl4pJWAdGFp9t9w6zupkYtIEScQI7LxUdnmpB6QddToS4lnUHe+SiBcPK0FKfXmpQuBn5rmpFYSiY5JONCkF1BQMCGEGTPxkSWlztDR78ItizERg0fuwitLaKKEQerNxIpcQtKDSbR9XIX8KvJ3g9xMvb6aAvWGDmtwGPw0MRSKoxQFCz5Z3qVKgUcaRZjJYBoCU4frqC5tI1vkE5HPVlJRjFsxQq5yAU2U4hRDqZILOsxvUCkXUCq2Ei8GkqO0TrVdoy/DTBJB6nAovSmQv6NSfsMm7TEUTPRVZ1Oiv88m7SEyldPJF7Oo01egShuqYiWg+6nSv8cl16MTQEElVvQnQE0kN0aCKESgkqmcTi/OQwgR8T+olgtRMCNQw/VWCBAjcmiilCZZjlWmUidXYyONIHXEiF64ZREV8ivSmBTOKCkK8MidVMuFOGQ+irSiCkskIsFKMn5ZQp2+s5XPQqIYSa1cjpQhhFSb80VAo9hEkyyJJJ8Kh0VDg9yITgiziCND6Xl/ACEURHOSLDsZEWVGSh0NLybF0dHhBySEh2Lt/3CKQhKbU2PrMki9XItVpOCTlTjIp1zOo0C9IaJEtKdMAKSLk6mVS/FTSbZyFr3E2d2S0eDHi/EUP0oJ0sARq7HeDTpyitNlkD36e7hlEQKVvsrlJIqRPepIdzg41DkuAtRiJZUQXqyktjupletf0g8bA5TrqZbfs0d/H7OII0uZsY+sklQxodnEH7b8pIupJDGGEvkh27TnSFGOp0FuZps+lzQxmRq5jCxxOoliOGu4rTnlNVhJx09Fc5rnML2VSyJWg32xi0xy1POBFvO9bF5MUCIZLYWuotFEkhxNUNThVIYhpY5D7ccq7WZQIENMw0Ya9aymjzKLZDEWRYm+X0wilhiRTaISS42+hCTGRr4fIRSSxVg0GWCn/iYWEU+QRlTdhkmJwyyTqZOr0Akg0UkQg3okWVtXEUKJsvh0FSl1yuWX2GQ4k26l/BZFtzTX01HIEmegYKaCLZTpn5OtnNmhErEvjWyJJFSrlgs7jP4x+Glz7M1YPxHylNlUyQVHWowewyerWK5dT4X8Cg/F9FEuI1k57phTJnQZolYuA8IP8aDeSJNegS57JupESp1d+n+JEdnUyCURf5S2qNYXE89gSvWPKdU/xi+rSBCFUW0sIp4y+QWW/XwbzEocfdRLGKBez279/5AEGareSy/lHBTMlMhP8FEZSTmdwemkiykAqMQy1jSXsaa5bSoT+6MIM6qwoAhzVHrseKWAJr0cF6upk2up0r9jt/42JdoH5CoXkqFMA8I1NQCsIvWA94tTjKROrsYtiyLbQtLNHv0d0pUpxIpcEhmKlRRUrNTKpVhIIlk5jhRl/BFRJrqDlJKd2pts0Z9EEiJNTKFaLqRBbsTDTiwkUyn/h4ci/FSzW3+bfuqvopZhDoRAwSH64hB9CMjaQ9eZnzgLFizgrLPOIisrCyEE7733XtR+KSV33nknmZmZ2O12pk2bxtatW6Pa1NbWcumllxIfH4/T6eTKK6/E7XZHtVmzZg0TJ07EZrORk5PDQw/1XKi9oVAcpZhELCZiWRq6mvWh+5FSO/BBRzFrtTsifzvFCFKUcUdQmoNHESaSleMA8MidrNb/SJX+HQHpokHfjC4DBzhDx8jmug0V+nxMxNJemWiP3IWOH4mOQGW46T4GmK6Lqh8B4cm4n/Jr8pQ5kW1V+rfs0d6jXP+SDdpDSIJkKz/DJtJQhZ0h6h/R8bJOuxsf4VwP5XyKKsNvtBqeyBJBd7EqSeSqF5LLeSSLCaQqk2hkO6liYqSNTaTRSzmfJlmCX9ZQr6+hXl+DJn2tzhdeChmJlWTq9JXU6+sQmHCK4VhEIk4xApPiIEbNIlEZSbIyGj9VUQrIsYRExy23YSeLNDEVjSbSxTRGqA+QpcwgUYxAx0e9XItXLyFHuYDt2kud+v4Cso5NoUep11cTK/qwR38/UlDOoOfxeDwMHz6cZ555ps39Dz30EE8++SRz585lyZIlxMbGMn36dHy+vb+DSy+9lPXr1zNv3jw++ugjFixYwFVXXRXZ39DQwKmnnkrv3r1Zvnw5Dz/8MHfffTfPP/98j/ThmCpfHh8fz3Hmvx9pkQ4bugyyXAsXBhujPofFLgn6jk0dcHnoRnTCN/4o5QlUpXuJiMw2/agaC10G2KI9Qy/lnEglzIOlQv8al9yICQdW0shSTkOIcA0TiU61XEi5Po989Vc47b0I+hSklIRwN1dmTaSJUvyyBqtIxSfLKNfnkaWcQTxD2KY/h5c9pIgJVMgv6a9ch1PZa9mQUrJZ+xuNbMWMgyANqMQDEgU7QSpJE1PopZzb7LzpjlSCDR+vAYIQXswi2ozvlzVoePHplSjCQqNeTKo4AZu6N1FSpb6AOrmKZHEcySKseFbL73Hpm0hXJ+MgD4mGW25v9uuwkBwzIOp+kFLSIDcQoB4pNXQZwqokE8KNQ/RtjpwYhEtuJKg3ItHJMkVXOD1W0KSPXfp/CVCPsDUQajLjoZih6r2YZDw79dfwUUkT5YwxPUW1vogAdc2F2LSoEN8WVoVuIY4C3Gynv3otGk00ys1kKWccgR52DU02sUL73TFdvlwIwbvvvss555wDhO/nrKwsbrrpJm6++WYAXC4X6enpvPLKK8ycOZONGzcyePBgli5dypgx4XTnn332GTNmzGDPnj1kZWXx3HPPcdttt1FeXo7FErY+/r//9/9477332LRp00GOxl4MH4qjGEWYGab+hc1aON10TFIIV+mxkehqfwart7BOuxeg28oEHH1joQgL+eqVaLR+a+4qcaIAFTsmYtmqP0tIr6dJlqI0V1C1kcpQ9V6C1NOY8Dm7PEVIQphJwEwcTZRiIx2JpF5fR4zIIk2Zwnb9BQYo19NH/QUClTLtC5LEmChlAsIPs4Gm37FH+4Ay+QmJYiSqjMXNLhRUdOKolN9Qp60iXTmJSv1/2EUGDtEfKylUyW/RpQ8PO+mtXIKFvU6SFpGEW+7CQR9ilGzs9MItt2Jjr0KRpkwiRZ5AufycrfrTgEJA1hAn+kcSTAkU4kU4I2tA1qE5N+Atc0bCjN1swyYySRBDgPCSmwUnoKAIlUa5lSp9ITEiF5OIARGOHGmrZPjRjips5CoX0ii3QNJKdpfsIFVMwoITRbGQr/yKHdrreOVuAJLFeDZpj5Jl2utr45bFxNIbIZTmMvIN2EQaucrPMYt4dmpvdinaxGAvDQ0NUZ+tVitWa9eegcXFxZSXlzNt2rTItoSEBMaNG8eiRYuYOXMmixYtwul0RpQJgGnTpqEoCkuWLOHcc89l0aJFTJo0KaJMAEyfPp0HH3yQuro6EhO7l4TNUCiOcqwihXRlKjv1fxPjvfBIi3PQVOnf9+j5gk1Hj3WiBbOIx0z334hiRHYkTHQAv2WL/iQZYno4vA8vdpHJdv15dEIU+M9kgHp6u+dy6RuJE/0RCKpZhFWkRRI1KcJEjnJZu8f2Us8mTU5ip/Ym1XxHGlMRmIEQMQwlRzkfN9sZqP4eC0ns1t6jgYU0splC5Q526m+RKk5s5cAakLXEqOH+WZVEpOxLmf4FmcpeC4EiVLLEDDqDRSRiaYrFpc9HKhoeuZM40T8qJ8b+yalU7KTtlwG0Qd9MeWg+qrCRqk7o1LWPFhQsVMmFxDdZKFTvaDXmSWIcLrkOXQbxyXKCuCL7GuU2SrSPULEToJoALkaoD2EW8XhlCZtCj+KjglRO2P+yP3nqVvcmZG3br6fRHwSWkZMTndTsrrvu4u677+7SdcrLywFIT4+2JqWnp0f2lZeXk5YWHRVoMplISkqKatO3b99W52jZZygUPwHSlalsC/2dMv0LrHIkNjKPqfS2AVlHhfwSgCx+doSlObaokt8xVP0zHrkDjSb8spIGuYleynnYRCp2EcLbwfEhPIAgQB0SDa++C5sanlxz1QsOeH2LcJKpTkfogkr5DTbSGajcjLk5vNFJ2LlPSkkFnwOQJc5EFTGRyAmxj6uWT1ZhEq2jGWJoO89GZ/FQTKIyCoEgVUzs8PcRkk2R5FItJd4VbEAIk4jDJpJplNs6lW77aKGJMrxyNwOU3yDbiEDapf+HAHUs167HhIMECgnKBsr0L6iVy0lkFPWsQaOJfOUKVmm3oGKLWNyylbPaTDJncGB2794dteTRVevEsUSXXvPq6+sZM2YMI0aMoLCwkBdeeAGAH374gSFDhtCvXz/uvffeSPuvvvqK0aNH8/DDD0e2CSG4/fbbI59vvvlmXnnllW5248dPmjiJlPxGdmlvsVa7C5+sPNIidYqd2pus1v5IvvIrxqjPkW1q/226K6Tm+XvkPEcrDfomtmsvRuosJCtjSVVOJEc9n1RxfCQld0fjEGxO6KQIlTq5mgA1bU7mB8Ih+tBPvYqxpucYaro7okzsixCCMeqzjFGfIVs9kwr9G+z0QhIEwKdXU6evQsPbqupoiMaDkmtfkvPd4WqlIqVDZcIti6iXK/dRFgR+qnAqg3Eqw0hRx+BQ+hLQj/Ic9/sRI7IZqN6MNW91mw6XWZxBAsMYqTzCYOWP+Khms/YEFfJrgrio5CsCVKGgUqJ/QK5yESPUR5q/0+eOCd+JrtATc1lniY+Pj/p3MApFRkY4X0lFRUXU9oqKisi+jIwMKiuj54VQKERtbW1Um7bOse81ukOXFIq4uDgWLFjAqlWrWLJkCffddx81NTVce+21/Oc//2Hz5s188sknrF27FoDnn3+ehQsXsnLlykjoisPh4PXXX6exsbHbwv+UiFf7k66cRKIYhYM8tmnP45bFuPQNNMnSIy1eK1z6RjaGHsIl1zHWNJckZfRBWVVC0n3gRscQlfoCqvSFHbYp07+gTq4kRzk/Ejq5LzaRjoedB7yWWSTglzVIqZEuTiJH/Jxd+pts0Z5hq/YspfqnNMnyVsfpMki5Po8t2jNs017ALYs71TchwjkmNOmjXq7H2lyMrE5fiUuuI1EZQaxoXYHSIfIIyDo8cicH6yMejojpGCklPllJ/D65JoRQMBMfdZ9JKTHJeOq0NQcly5HCKpKwkkq1XNRqn6pYsYk0TIqDPfJ9PGyjiRJi6Q3oKJjJUX5OoXIXfdRLSVemoggTQij4KCMoG1pf8BimJ+ayw0nfvn3JyMjgq6/2yVra0MCSJUuYMCG8PDdhwgTq6+tZvnx5pM3XX3+NruuMGzcu0mbBggUEg8FIm3nz5lFQUNDt5Q7ookKhqioxMTEA+P1+pJR4PB5CoRDDhg1DVVVmzpzJRx99BICu6wghUFU18qCwWq1ceumlPPvss90W/qeGiVjS1In0VS8jlj406lsxSSfF2qtU6POp19e2+uF75E5c+nq8suSwyanJJrboT5CgDGOY6c8HfR5dBqmTq3tQsiNPkhgdcRRsC7+soVFuJVeZ2apKpU9WUasvxycr0GWwnTO0vl6NXNpc48JMvvpL+im//v/snXd4HMXZwH+ze3c63amcei+WLduSLXcbF4rpxvQaCL330EJI8pGEEEISQggQIJQkJISWBEICBEw3GGxsywX3Kqv3curXduf746yTTrqTTrJkW0a/5+HB2pudnZ2dnXn3nbcwXrkBK1ns017EIzv9zinX/4uBSCYoN5ChnE+V/j47tScp9byBXd+MU9b7ykopvXlB9I14pHfzpUEvRCWMaDGZTlmFihUdjUZ9gzdrZgAX6BhlBirhXsPCITBQpFWHrKFJrsciMvr0awQTaZTr/Y51UEZkj3TeowGHrKFZbqFY/zt2fYvfb9HKFN8WV6qyhGS67VOmK79hpvoYycqJGBRLn0Rm4SL1iAuzPRxr2XDT1tbGxo0b2bhxI+A1xNy4cSOlpaUIIbjzzjt56KGHePvtt9m8eTNXXHEFqampPk+QvLw8lixZwvXXX8+aNWv46quvuO2227j44otJTU0F4Lvf/S4mk4lrr72WrVu38o9//IMnnniCu+++e1juYdA2FHa7neOOO47du3fz29/+ltraWtLSuvc/09LS+PzzzwG4+uqrWbBgAd/5zneIjOxOP3zHHXcwf/587rijb3KhMQZGCIUM9Rx2ak9iVbLwyA7q9VXEifkYRCQdepmvrCosRCtT6JSV2PVN3jDJBxjlUUqJk1oEKirmPurqfdpLxIiZpCpLDug6ijD2ybg6Wlnose3/l/f/Kw32gOUa5TqSxOI+2hxdumiS60kWpwxK06MII+Gk0Cp3YRXj/AwVo0U+qghnn/5XJB7CSSVFORWJB7NIQhFGwoglV70FKXXK9H/vzz/xDU7qMRGHk3pa5U5fnZFiElJKosjDqmbQqBdiFsmkKCcCoEkXzXIrBiKIEP7J78wikVa5G01moWAa1Dg1Chs1+mckKcf7HXfJZtrkHhRMRIspqPs9ZXrSQTFxYp7vbyEEFiWNVrmDKDk54DmHI2aRRLpyDmtZi4PgW6LhIhWbkk+1/h4aDkzK6ArmNVwcyFrW23NjOCgsLOT447vHb9cif+WVV/LXv/6VH/zgB7S3t3PDDTdgt9s5+uijWbZsGWZz9/h85ZVXuO222zjxxBNRFIXzzz+fJ5980vd7dHQ0H374IbfeeiuzZ88mPj6en/70p36xKg6EQQsUNpuNb775hpqaGs477zw/F5XeLF26lKVL+1pqJyQkcMYZZ/CXv/xlsJcfYz8GEUGCcgztFGPAyjjlSsrkmyRxPELpu+CEi1RMxNIst2ETU/FIb9bKMALvOXtkB+2yhBa5nVhlNp2yBotIY6sWWOOQII4hTMSTLE4hRsxCozNguW8b3YJE3+OBhAoVM04afH+7ZSudsgINB0nipCFtG4XJJFr0z4lSJ/f5LUKMI1e9GSklbeylSP8bYcRhxT9AlptWYpXZfvYPTlmPgQjfgluvryZOzKWNIpx6I1JKjCIah6zxGfSpwoRNTMMp62nU12ET03zxKzplJY36Wor5OyCYrN5NpMgN6R6l1DDKvirbVrmrX3dHrwYlvI/QEK3koesa1donmIjGoIQTLQoOa2PortD2AI36WpL7CUIVqUzApk8nVswOWuZIZzjWsuFk8eLF/Wo/hBA8+OCDfrYdvYmNjeXVV1/t9zrTpk1jxYoVQ25nfwzZyyMpKYnp06ezc+dOKiq61ekVFRU+9Up/fP/73+ekk07itNNCM9IrLCwkIiKCrNntALgdCpVbw0md0knl1nAScpxYYvzDH3c0GagrCvOVSZ3SidHsb7BkrzLS0WjAluqmrijMV39P6oq8RjTGcJ2ORgOpU/oulpVbw7HEenzujIGM5UrWWUnIcWKvNGKJ9WBL8Vdbh3JPsTmt7N6znYKCAvQtR2HK/4xs8yScvMdUUrCIdcjqaUHvyUkUmtxF+d5WwkUy0rwJo73Ad08S0HHQKNexY/P7jIs9BlfnetrZSfz4BObinZzTxfmowkjJOiue7HeorWgjIS6CqNQvyRQF1Oifkay04XGoI/KcgD7P6nB6Th1NBnJ3JWEsaMa9ORpjQTPS7MKDk7D9+/3RNW62171BfsYp2IviSZldhlm2kCCOxkMlHtlKzV6FRJFBmMVIR6MgdUrf8Wk06wPeU9vaFBLHuwe4pwlMmpbW4566Y2pIVOobPXTsw3ff46ZaMZo1YH+b9C3IKhWtwYk5bRtNRSrT5majktpdZv9zsmAjwRxBVcM2xk21IpG4pJ1wIokX36N+axoNttcJcyahCsuAz8leYSBnrhsTe3wtdjnAsTUz6HPScVHf2EznvvyAY0/HQ7Icj7M6g5YGN6bULdQXmZk6p+/8FmjsOWnAIztw00KUmEj11qiDMPYupmlCE2V77AO+T/mNN+5/n/q+S8HuqTcH830KeY5IcsHePs0IyoGuZWN0M6hImTU1NVgsFiIjI2lubmbRokW89tprXH311fzlL39hypQpLFq0iBdeeIGCgoKAdcTHx1Nf792Dveaaa/joo4/4xS9+wVVXXRWwfM9ImYqicJztz6NGBTncJOQ4qd1ropNKX5yCcu1tWuVOTCIGl2xGoBCvzCdWzEPpkTehJ14rcIEQArdsoUOWE63kA7DV8zAdlJIslpAmzkBRumVOTboAHScNQdNpr/fcwwz1N6zTbiNBHEu2+t1h7YMuEnKcvgnvcCSQZqKIdexlLdtYzmzOpEHEUCxfYqJyBy1yG04ayFIuxiiiaNTXEasM/PUYaj8061uJVoLbboTCQHU06Gsp0v8MgIUMphj+b1D1S6lRKZfh0VvIMlxCo76ONrmXNOWsAd/5hBwnJXvr6ZSVxIrZ/W6XuGUbAoUWuZ0YMSuo1kGXLuxyC0YRRQQ5XgNFWUer3IGJOMJEAkYZjVs045GtaDgwi0QUjLTIXVhFJmaR5LV90dZjEBYSlKNHVMsRMa6Yz3b/mmnqw37bWz1p0/ayXf6WOeozI5rk7lARSqTMA13LutalPbecT2Q/cSgmPPPmiEbsPNwYlIaipKSEG264wRsCWEpuv/12CgoKeOqpp7jkkktwOBxcfvnlQYWJ3tx333387W9/C/n6VqsV8S0OnWGvNHr3d3v47JtFIlXyPbLFFTSzmRgxi1p9OZri9CVz6k3PScQoolAJxyFrccoGOihlCj/Doqb0OU8V3uhq/cUM0GinTe4hSZxArVxOlrzEaygq9D7GcAeCvXJ0JRUD6KSVHGaTxzHsYS1WkckEcTN18ktSlFMwyxQUDDTp3+DQa0MymQ61HyTDk3ujP+KUudRLrwdLGIk06ut9KcZDQQiVNHE6O/TfUaN/RqJYjIdWdml/IEU5DZsyFY/eQbX8mEgxkWilewvHXmnEItLQcdHGPiIZH/Aa3tweAoFKjJjZ7+KuCBOxYhYuaadJbkSRBiQ6sWIObtrQ6KBJrkfTIV6ZTbhIoUnfhI6bBGWRr24dF5poI1bMpkmuI1YEV60fCLp0s7H8H4xXbgwqTAC4ZQcTxe1HpDARKsO9lo3hZSyXxygiOtUVMNx0hyxjr/ZnFMLooISJyp00yK/RcJCr3jRgvVLq1MuviSCHLfoDzDU8O+Q21mpfUiJfZo76R3ZqT6CKMOz7PTVmqr8LOWXyQATri8OBYHYTvflAXUeF9h9y1GsQKNjlZoxEYxIxtOlFGEQEUWJivzEaQukHKSWNcg1xB5iQLRQtR6espEb/lEzlO+zWnyFbubzfxS0QuvSwRXsAm5hOonIcBiKo0j+ggxI6ZRVumgkjganqAz4tXHSqi8YK3ZsDRViJCuKh0aAXEiUmDtlrQUqNZrkVHTcgcMo6nLKJSDEOVYQDXnulMBEPQLO+DZOIxUQsqjBh1zdjU4Z/kdKkg/XanUxLu5CwmhODllvruYl05RxShmgw3axv82kzD1cOZi6PMQ2FP9/ez/1RiC3FHXDxsIgMCgwPUK+tokYup1J/l2zlUrboP6dF30GU0tcYrydCKMQznzZZjKlHToWhkKgejUtrYIv2cwQGJqt30imrKdP+zS7tKfLUe4f0ZdR7kQ5LasJZagtYNhjBPCsOFZX6/5ig3oxBWNinvUysmAl4A1LZlOkYiaJV7kKXLqLFlID9FmxM9KYrMuRIEy5SkWg4qMYis9im/ZoZ6q8H9cwVYSBdOY+9+vM0auuYYfg1Geq5ADTpG9ijP0eUyGOn9hgmEUcYscQkZ1JbXkeYTKSTSjplOaBQqr/OOOUK4pWFAESLyTTL7cSJoeWlEELFJrpTf3fKatplMU4aSBYnASpif4ZYTTrRcREukn1lYWS+35rldgBy0qazvWonVpGNKvpuhY1XbiRWmTnk6xzuwsQYh5YxgWKU0rXA9lwk22UpnVRiIJwOWc409Zds0v6PDC4IGCCpJ0IoGDATI6YfcNuEDMNNCwkci5S692uTGbSzj13ak+Sqt6GI/odef1/5czJbaI51EJ3Z13WrsDT4l0CwOg+moNF1rXZZikGPwCAstOg7iRDjAn79e2QrAgP1+koilBzCxeCNxIQQmIjDrm8iQowfNi1RMNKUsyjRX2O8ciNu2USz3IpNDO6rPEbMJIx4nNTTphfj1Btopxg3zUQzlQgxjizlEjy04qQBhXY0vROnUocBizf7KSZylVso1f9FlJiCgfD9IbYlbtkyLLEVukKbJ4njaZP7kOi0U0yqOG2/rVN3uOp2uY94ZfhzhJRr/6VKvk+WuIx2itmnv0W6cjaR5NKgr0bFSqSSS7hIPiBhYowxBmJMoBhl9F4Ue/4t1YsI0xMpk/+gSP6ZPPlDCtRfsFt7CjPJfbJK9qZTVh5wvH4pJfHMJ1mcjKruV0czlQ7KyFPvo0h7kVrtc5LUE/rsXwdb8OcEEByCEUrZ3kJHMBfO4aanMLFNe5iZ6u98KnFdugKeoxLuEzQ6ZAVN+gaiRcGAAllvIsQ4JBr12mqilamYlO4+0KQz4NfsUDGJGK8HBSvJUM6nRH8dTXcMKlulEIIC9UF2aI9Rrv8XN82YSSJZnIxHtNIk12OXm4gSeSQqxxIh2kk3BB7fAgPfaPchMJKr3ESYSAgpsmYoRJCDiwYUTLSxF4UwLGTQqK9HweCXyl6iU61/QrISfEtiMEgpKdPfpEZ+zERxF+FKIk5WEyUmESEmIDBiIIp4ZcFh7e46xpHDmEAxisjRLfSXwWKRFgOcywp1Ppu1n6PjwCyymaLezx79WQzS2iePQk88tGFicPvdXXTKair0/9IkNwBgkVl4PG3YKMDGdHLVW7z1CxsNcg2a1kmMOtPnLdJbmAgkGOTlFfn+XZykkk1NnzL9sX17Tp+6u4SLQBqf4SBQfQ36GnKV2/Z/LbM/O2ZgI8KeWEQaZpJplpsJI35Qwp+UOi1yByZhwyUaadeL8H6ptxIm4tGlC6vIGjbD2USxGLvcRLxYyHjlWtZrdxMjZvhiToSCEAqT1Xuwy29Q8J7XIStIUo4hhulo0kGF/g7V+sdkEfzLP1rJZ6b4Hdu137JHfw4L6eQZfoAu3QgMB7TYSjyAwEMbFfrbGLGRqVyABGzKNL+yCcoiOmSFzw5BlxqdshI3dnTcaDhQCcMkYvoE/epio+c+QCFKTMQp65HozFQfxSAiaJcl6NKJC7vPbiVBXTjkextjjMHyrRUonLKRIu1F4sVRqCJ8v8X34W31rDtCa58qwplh+LXfsWRxKpX6e0xUbw16XqvcS4t8l5nKo/3W75ZtdMhS3NiJFXPRcbNFewAFM1bG0U4xnZRhZRzNbKOWFVRobzNdfZjJ6t3UaMsxy1J07XNa0TmZW4CBhYieGLXB70Xn5RX5hIou5mS2+GkshkNb0d/57bIUJ/VEiym0yl1YRDodssxnxBcIKaVv0VOESoyYQaesplFfT4pj4MBP7bIUl2wgSuSjKvs1EcJrYNjCDt++eJsspl0vwSIyAxpSOmQtwZxFXNgx7Y8CCqBgxEgURdqLTDBct98zooWwQdroCCGIETOA/f3ALt92hSrMpCtns0X7BS5H/wunQViJFbOokh8xXr0el2zmG+0+UsVS0tSzBtWmLpyykU3aj/2O6bio01cF3WI0k0AzW7HITJr09Ug8WEUO4SLZ5xpbo3+GJl3UyRVEicnEiXm0yT0U66/gphmBiVgxm0gl12cICmAhk2bH+ySK4wJee4wxRppvrUBhwkaucjMKJtbptwEKkUxgonpH0PgNh5KFHhvuzQOXC7SYSSQGYaVdL0aTjqA+/enK2WzS1votYD1xyDqK9b9jxIZFpFOu/xsnTaSqSylQf46UUCnfIU/xGl62y1Ka5WZvEjO5ha3aQ0Rg5gzu5r98ThK5TONU5mV2J9sJJkD0JCO/mAyAxO5jZduyBzwvVEZyC6Ra+4R2iqnS38cgLEjp6deLQxUWNNox4F8mXCRjJpGtm9cTGcRrwS3baJU7sYhMYgLsnXsTeTmRUkMIlQiRDcKrMenQS7GIDMJEtwBgFomDimURzRTWeW7HI9sJFym0yj1+9Q0WIQS6dPn6wi3bKNL+TJZyMVVbLQOen6qciUfvpFb/fL/tA2gE3moKhSLtz6Qr59KsbyFVOQOryKJVL6JUvhbUy0QRJpI4ngr9HYRUSVFOpZG16NJJJBMBnWr9U3QcxIgZlOivUMIrpIglxItjiGYyEWpgLaMQgrBtN2LAhVNvIEw5MAPrMb49XH311SGVe/HFF/v9/VsnUPRUbRuEdxKaqzxLq15Epf4ee7RnGa9e4yf5Hy50RV0MRH8LoCpMmGUSHlp9quNAhIl4MpQLqZYfkiJO7fN7i9xBgjiWOGUOmnRRw6eEixSEEJhJAgHjuc5X3ioysYpMEjw7eI8t5DGHnXzJX7mDa2yX8WXH1yRElPJZ2y6W5IWRE+H/lZ6RXxy0rbuMUUx0t/iVHQ1CRaZ6AVu1XxIr5mFWgmslujARi4umPgIFeLcEpkzNZ/vmPUgpiRS5vjHtkDU4ZN2AwbGiRB7Ncjs20W1/YBVZWEUW7bKUDr0Mi0inU1YxFA+FGDEbiU6iOI69+p9w63ZSlL5jKxTcsg0dl0+TuE17GA0nUaI70mV/CCHIVC6iRe7AKKIIl2mYGPwWT7O+jQa5GkUYSVFO9bsfm5pPqUdQqN3KVPEA4Wp3SmhdarhopFnz2s0kGRYDECvn0Ek1LXIbbbIIC2lkiUtAgQ6tjHZKiFcWYhaJvZvix0KPDWNBM3WbJXXUURdEoOi5vXi4eT6NcWh46aWXWLJkSdDU6k6nk/fff39MoOiiP2NGgJWGHCJkJpVyGa1yz6Ct0g8GgYSJ3hOClBIdRx+BSBEGMpTzKdL/RppyJmaREPAaSeIEdmiPeo04xbT9X4VuWuVuqvRl5Ks/BKBOfoGOk1i1b+CidllKrFbCbM4EwMV07oi/mThDLE2eLJIMiZS4ytjl2kNeuIWj4sZx/ZoPaXZ3smzxbcycWd+nzt70FCZGE0YRiRs7oe7aG4n0ukAGOaFqqwWbMg0pJVVyGWY9GUUYMQjrgEa44LWbCbbd0iUQdshypNSJUQfvAWQiBif1RIhxTFBuolT/By36TqKUSQOeq0s3nXotTupQhIpBWInZ71rbKndjIpY8w/cBBhQmuhBCEC3yAKjQ/4tEJ4bQ78spG9ilP0mKOI1s5bKAZaYo97NRv5ct8gHm0h3TpUmuJ0zEkWQ4jhZ9py+uhyrCadLWEyfm004xueptCCHY5vk18cpCdN3t06j0pvc85twcQSH/YDZnkttLKA5k9Byq4BzoXInkc7UUk/h2Jhc70vjLX/5CUlJSwN/q6upITk4O+FtPvhUCRSiBhhZ6bDg4j5XqgqCL7aFkpcEecpjlFrnTt+/ck2TlZDplFcX6y9jEVCLFRKwiy6+MEIIU5TR2608RJSYjMCLRaJHbyBAXYhSRuKSdMv0NskXfCdXb1zZgms8m4p7KH9PQ0MixCRN4ZNa5/GzLv3ivcSsAe1rrcEuNWanRfFbSyfPV79D6Hzcf7atkZnIsCvD86Qv5vLSGS6d2Gy6WGqxkegJPssHobT8B/buZjhTZyhW0U0wYA2sohFD6VQx0jQkhBMmcRCu7BrUt4aEVM/1PFBaRjls0h1xnT+KVBRRpfyZVnIVNnUKKsoRi/WUiZS5CKH2MYZ2ykQ5ZhoIBgQGTsIEUvmBQHtlJk76eZrmVLPU7vusMJRR7vFg4qHTpHbKcUv2fFKi/6HeOUBUT4+SV7JXP45HtGIQVKTU8tPniX0SKXJrketplCQ69gWgxjRa5HY/sxEkdZhIxiTga9bVEiokBjakDzWvfTHiNuj37eJfHuJzfhjz3DUVToaORqTVQbRgTKEY7BoMBTdOC/u7xeHxee/3WM5yNGu2YieAELTfoy9Xfy3kwVIfehDn9T5o9jdgCES5SmKjcTrpWzpfiMwxYSFSOwyy6JVObMpW5yrM4ZSNGIlGE0bvFIT+mWd9KJzUYicHUy3Cvq396Glfm5RXxSMpS/rjnCyKNZnQkz12Qz66GdIyqwucl1VhNBs7KnYxJVRACNlY3ctK4FJKsZlaU1pBoDWf9LsGmPcX86qxMFEWhRRlc6O2DIUy062WAxKpkIqXej5GvRlCVwyDpOSYUYRz0roQmO0d0e8+AlQRxHJXyf0TLyZiEDRvT6NTeIJsZ7Nu/BZfqEUSRwCqlpI+9h0OvQdMddIhyKrT/YlOmk61c6ounsdBjIyy6ic8G2bYokUe9XBVS2Tr9K5rkesYr14UUvyJWnYVLP592WUy0mMI+/SWixRQ06UIVJjQ68NBBOEailYm4aCKSSTipY4f2ONPUXzBBvR6P7MSw//mEIhyExxi4mId5nR8j0RGhxG8PwkDXUzGQxmRyPN5ttrHtk9FLTEwMNTU1QZOh1dTUEBs7sAfgES1QhBoCeTjOGym3w+HE/77iyZYzqGIXn+rLcGEnVswiVsxFFWG+iIT56o+wkoWCkTASsIpsnLIRKxlY5QR2e54jUTmak3Xvl1cgT42ptlSennOx7++aneOJxmv3MCmu79fNvLQE5qV5vwBPm5BB2bZsTkoy8+eilbzwSRxL0wpght1Xvj/biUCCBAwsTAzlOXZShV1uIlrPo1XuYZxyRUDj1np9DUnKCTTp32ASMVhFZoDauvGGeQ4NSfCvjD5lpYaHjhGNUWCXm4lTjsIlG2mTxVjJpo291LOLVCaRzzxf2Y/UTUTj72oppU6zvoMqPiRKTCJROY5YxZsLI9A25mCemyrCkHiCGiGDNwx4lVxGi76Dyerdg/IEq9I/xMo4ivVXcNFIq9yDpnSQKBZjEBEkimN9ZQ1E0CQ3kqGcj9Q1dmlPkqNeM6jthHK24caJk3YECjo6aogCRVffDWbu09Hx4CIMi18dY4w+pk+fzvvvv8/MmYEDny1btoxp06YF/K0nR6RAMVRBYriufTi+VMH6JIWJXCon4sHFu+IDivS/oOPEQCRGYtipPcl45QZc1GMkCgUjbfo+7Gxij3waDx2U6f/laf4AwF/k0xhDjDUwGCPKqTFp2EwWNjVXsjStgKaqOMpqAt8TBBckYGSECYB4ZR6x+izaZTEOWY/Xx9JfTeiRnQiEL2JhuyylWd9KmEjEJRsAcNGIke6FxENr0GtKvN43Ok46ZWXQ+AWBaJQb+tVmgTdHRLPcStgQtgHnesKpIo1M4vhQzWe79luimcpV/B//4/dYe7iZAn0EK7dspl5+jRRu8tTv+473934PVrBXCadCf4f0AK6jnbKaHdrvSFWWMkn9np8wEcocU0UG5WxiFqdzFBfyHx5GJbg2SBUWnNSToBxLmyyiRH+FCcpNfltD/bGLleSSwSe8wDzOQx3k9D7YeVMiaaHO7zkOto7Dca78NnLppZdy2223MX/+fE444QS/3z777DMefvhhnnjiiQHrOeIEikMpTIx0G8J0SVo/4aMHc90uTULX4mrAxDn6mbDfkLKLFWoNe7U/EyFySFAXoUsNi0hnnPJHhBAs9NhooZ4KtvEhz7Cs5WPOjD4t6HV7L/ShuIl2ccOEo7ngyxe4L++UfsuNpDAxUB9vZTmNrCFCmY8I4H68QbuLHOVa399WkUkHFT4DPRMxCNSgX8xSShzU0Cmr8OhtxMt4JDYMWIkRs0KOoNkqdxMlcgcMNNUstxItpg4pkmYt+7BiYycrmaiFU8UM3DSzl7VEEkct+8gKYBDZou+gWn6MSjg2UeCL6TCY8R1q2ZncwMs8RJo8vc/z6pDlZCjn+vKADPa9Pp+f+v1dxS7O1S+kvJfSwC1b0HAipMBDOxINVZoJJ4029hLJwLFGACaxiBLeo4IdOGglmVwsjJyNkJN29rGelBDbN0b/aJrGAw88wMsvv0x1dTWpqalcddVV3H///b75QErJz372M1544QXsdjuLFi3ij3/8I7m53c+gsbGR22+/nXfeeQdFUTj//PN54okniIgI7p5+xRVX8O9//5uTTjqJgoIC8vLyEEKwY8cOvvnmG5YuXcpVV1014D0cUQLF4SBMjCRaU/DJf6B7DxaSurdg0ZtjtCQW8H1Wyn9Q53kOiU4GeaB9TibT2MZGTFi4PHMGWuNipoX7exZ0Le5dgkPX/7uO9/6997k9jyebo8iNSMCta4QHCPI10lqJUMbXFBYzhcWgw0qlb5356o/Ypv2KJn09MWImkUouFpGGQ1QPaAysS416+SVWkU2sMhNdeGhp2oyZZN+E0y5LcMsWBApRIs/vq1pKHRBIPLTrZUQoE/q9npSad3EbgjCx0GOjlHLaaCKZ8ViI5rvkU8JGNvExEcRSRwlzOQcPLirZSbW+kyZ9I2aRxATlBhRh8quvP/p7N4KN/cLSKMKJYgaLSNQqyGKa3zjQ6KBRFhLPQr/rDxTevVPvpMxdwcQw//5NqUyi1Pg/CjqvoZId1KnjcVCDLl0YhQ2P7MBNM5EiF4TAgIUK/V2ukT/v93pdRBKHvamZTlopZxsvcAMmwrmc3xExxAi4vem6d7d0837LR1wXuZht5cNS9bee3/zmN/zxj3/kb3/7G1OmTKGwsJCrr76a6Ohovve97wHwyCOP8OSTT/K3v/2NcePG8ZOf/IRTTz2Vbdu2YTZ74wtdeumlVFVV8dFHH+F2u7n66qu54YYbePXVV/u9/ltvvcXf//533njjDbZu3YqUkuzsbG6//XauuuqqkLZGjwiB4kgRJAbMQ+ECBpHXIhi9F+/t23MGvPZ8zgbgo9I29lr+yVcdX7OS13ki9TfEGry+/J+2fc6VMZcA3Qt4sHq72vDV5hgsioVl3xhJNCRgFmF+A7enUNHidnBNzkJKI9dSvSeBpIQJfuUCEYrhZX/CxHCPLXX/frOHTlw00ahtJEadTpiIp12WYBVZvkBTPemQFbTLImLETJ9RoCIM1O8Nx8NGopgE6HhkBzalAE06aJTrUKRx/366GxUzEh2JTpyYS5X+IcnKCUG1FB2UB4x/EQoaHlqp9wpXPZjAURgws5LXqWMfX/MGpWxCVaYQTgqT1DsCtmcLn9JGI/M4FyVA5lTPHv929jYM7k3PMR/vyuE/1ZvIYprflmW4SEWV5oDCRH+atV9t/YC3ajay5tT7/I5fbJ7C60XbSI18jxWtX5Gm5ZPMBGZxxv4MpfuzAkt4T1nBHD2Dd6gLep3eWImjZo/XGyeRcdSyDxedVLOHccwa9BZIb3r2aYfeSZoxFYtiGfCjpD/6uu/bD6SJo5qVK1dy9tlnc/rppwOQnZ3Na6+9xpo1awCvduLxxx/n/vvv5+yzvfPxSy+9RFJSEv/5z3+4+OKL2b59O8uWLWPt2rXMmeO1NfrDH/7A0qVLefTRR4MaXYLXoD81NZWjjz6aJUuWMH36dBYtWjSoexh1AsVoFR4Gk+AqGK05HUQWDRwRsD8Gs8UQiJMzIziZa7iJa/ig9RPea/2QS20XIYRA9nAx6B3Suje6lLxVvpFfVX7AsdaFfNG+knRDGunGVG5NuD7gOa+VrOXS7HnkZxv52pID9UHiQBP65DbYraLBEGg/30gkAK3sYJ48Fidt1NOEW2+lU1biVBpwUEUix/kiaLplC52ynATlmD7XmFyQRckWN1X6hygYSVWWAqAK84Apuo1aBK1yF9EisJuphUzsfBPSvUqpUyuXE04qUcpklikrWKL3bS9APBmkMJE69pFOHjNZyjrFP2KlU9ZTqf+PWDGXaCWfDuxUsctvjPndS0Ez05v7fkEFG+89w7BnGTNxmd9iXGwx+yqzfc9tBds5mfOBwIJEsMBrK7/cwZQEm9+xjPxiduzeQZWnmipPDTfFX05RfST/5Td4cHHU/us0UEYdJSzQJ1DMBgwMnJq+i495jhkFM9i7uZRGKnzH/8djnMxN5PcS7g6EaDWK2ZYZfscGeudD4XDICDzctLT4z/1hYWEBA0gtXLiQ559/nl27djFx4kS++eYbvvzySx577DEA9u3bR3V1NSed1B3WPTo6mqOOOopVq1Zx8cUXs2rVKmw2m0+YADjppJNQFIXVq1dz7rnnBmxje3s7S5cuZdWqVSQnJ1NZWUlERARz587ljTfeIDo6NOPgUSdQHCyGQwAYbiKLLAG1C4EIVXDob5tgIE6NPJHXm97kZdfjnJKSx7iGOPLz9/nq7dmHXdfZ6tjBr2sfI8uYwVSzN8DQLudeALLDvEZ5tZ56CisFDtohaiM7lu/mzJxM4sMi+O32j7g7JZ35iUWU1Wf73W/Pewl1cjtQYSKUr7Pe17ByBSt4iU94nqfTfseuCm+CtK5JU0qNKvkRqWIJunTTIcuwiW4jTo9sRaLjls3UbVJQhIlk5SRatNBjKjhlvTc+QrDkHIDEjUOvxUUTJmWgiJKSqXoauxUnLtmEQGW1oS3g/TdQhpM2okjChIVWGqjTv6FdluCkAV26MIsksmUiRlnDPH0hcJ5fHX3ez17CRKDx31MAKNuWTXT2esJVEzEmCz9tW8jLxa9yQeZtvme5hzXM4/w+wkR/EVwBTh2fxgWTs8hI8y83ISYKs1pNu6GS786KZMeO8RztepB7q3/KjLgoUgxJbGtfxZKIkyj17OLLli9Y6rqrT/2BxpyDNnbxFTM2P8Q4wvkbdyJQ9z9fyS6+HlaBIhiBEu8NlTqKiScLgRjUe+rExPoDunLolO/MJMIQeEuwzeNN5ZiRkeF3/Gc/+xkPPPBAn/I//OEPaWlpYfLkyaiqiqZp/PKXv+TSSy8FoLq6GqBP8KmkpCTfb9XV1SQm+kdUNRgMxMbG+soE4v/+7/9obW1lz549aJrGtGnTqKur46KLLuKee+7hT3/6Uz+90ONaIZUaxRyOgkEoBJoQK+IVqB+43FCuM1TB4sL8JK5a/QGplmjmxmbxv8otnJ46lby8IjSps217Nob9hoJSSn5d+xjncT9p7jz2uTcAH5LsmcV3uBLaYRX/4G/ty9HRaaScmpa9aLjZvn2n75ovJhawyxjVj738yBJoTA1G7Xt9xiIezo3nurWv8G7LMi7IOIf/lVWT54lhu8GCECphegK1ni/pFBVYSMcpakEKOmU18YrX1bJDlpM4pZ7GrVkYRQQoOhIPop/w6l10yHKMIpomfT1RMq+PMaeUGg1yNYnKYprZRIycRaNcj0qYL8iUlJJmuRWTsNEpqziK4zDru2hkF4YAEVS7yGI6YViYicJGlmEkjHx9CjYKSCCLYjaSLWfwLr+jlXrm4f9VFaj/W3M6mBfWd8IMtvj78sF0/Q1cv2Y3V89fxxxms8dZhFbjITVpD5BNXl6RX12xMwPXCzCj3sPxx7diMrTTuCHbV/bMMPjDOp3T8uNp9zi97972HE6PPIW/NPydiebxbHFs56O2zzgl4gR+mHgX4Uo4ENz+qbA0Conkr9yBjkZMgcC52UAsaX5ailYa8ODGEMLY6MIrjAgEYkjz6IFqLBLIHvK5hxNlZWVERXX3Q7Dw1v/85z955ZVXePXVV5kyZQobN27kzjvvJDU1lSuvvHJE2/jmm2/yl7/8hczMTIqKvGuC0Wjkpz/9KaeeGnqo/CNOoBhtAsRgBAK3OrR4Ab0n1UDumkMVLKZEp3DnpOP5d9lG5sVl87eir/lr0SpunHAMz+5ZQXF7A1PNeVwRcwlF1o84IeI4zo3NpNZTgsNRR1ZrBkZDDXR661tAd/RDz/7ETQZMpKbs5E+tT1HU3oDD7aGmIYHsQcRcGCxDHUcDTaLeegXhRhMvL7iKK77+G+/KWpakX8275eXM9uQThoVSEokmkWh5BgAf8Q0GrLil3VeXkSjM5hbaZSmgoGAIKT14p6zGRBwdspQ05Ry/ZHguaccha3DTTJyYjyKMCN1IO6VEivHoeLDrm/fbYmhEiglodBItpmDARAoTaaGeo7W+BqY9+yaZXIpYxzzOxdYrUqeGG4nEg4vz+EmA/vMnL6+I4iSVQWaz70OGJYZlVdtYkiX4+YpniVai+GnNw/znmBuhR86P/oQJgO/Mj6O80UVOotmvbKdLJzPKyovf7CZ8XAbnZs4A4OKYCzgp4gR+U+dVbZ8ZuYSLYs4LUHNfdDT+zj04aedWXsJqbsdEDBOYzxreJJVJuHBSTzGt1BNDSsj9UcF2wojgtMyhp7Qfjm2QwV6vU++Ew8hQNCoqyk+gCMa9997LD3/4Qy6+2Buzp6CggJKSEn71q19x5ZVX+kJf19TUkJLS/RxramqYMWMGAMnJydTW1vrV6/F4aGxs7Dd0dl1dHRMn9k1oFxUVhdPpHLDtXYw6gWK0CQzBGKxmISO/mGaTjYw4+4BluwSG/r7Oepbr3a7BCBVCCC7LPorLso9izgfdKdM/qdlBdUcbk8Jy2eLYzg+qfsp0Wzp/WngpQhSRB6h1HeRW3YBNjWJrjwmg9zMuLDWRakzhWNMSdrf9naP+9AGXnxhGlkzv1/J4IK3BSI2lQNcNdC0hBLfkHsvt6/7Jj0+pokOL49O2fzHPOgvNXUeU6iDPHE5haRQna173yveVGl+0RQORgEDBQKcs53R9cZ/04oH2nttlMfHKfMwynma5iRgxEyklHlqI0XYxhcV+e/dN5LKHQqaymHCigNxediHd91nCJuJIC9onPfsmh9nUU0oR6xAIbCTTjp1Y0hDxXzDdlcYim4dgX+gDvUMDbU3s2ZxOZ9JmChK9C+bvZ13AfRv/w9qGEq+wt+olnpr9HR7d8TFvXua1RxlImACwmhSe/aSam05MIj6yux93boxEAreOP5EvipuZ3N79noWrYejo/CH1EWo8oRtirubfNFPHzby4/5l5w9EnkI0JC5XsJJcFZJCPElPInMjjQl7g05nS7zvSX/8PZftxKBwp6wFAR0cHiuLvvaaqKrrufanHjRtHcnIyn3zyiU+AaGlpYfXq1dx8880ALFiwALvdzrp165g925sY8NNPP0XXdY466qig105OTqaiooKsLP9UDM899xxz5/Zvi9WTUSdQDHbBOxwJVZgYaEI80POCCRaD0Vb0LPNSxnOUusv5U8Pf+Kh6BxnGNL4XdyM/qn6QszPzWJKST+aUEl/5qJVmYsaXU188ldkZzawri+53O2FxxDGkG9PwSA/1rXb+VvU1V+UsGLCNoU46B7p91Lu/Qrnu/LhxRBjCuHfjvzk5OY+78ibxn/KVaLqHc3MWIkQR4K23sDSKibqJGoN3kRJCIFABncl6YGPdnoahUmq0UUyU8CbmUkU4Ht1JvbYGIRTMIpF8jvUTJrz3EEFM6VlsYzkTmI8Jc0CD0y4PEkOv8PA9bRC6+qhrkYknk3gykUjK2IyDDpZmJPFo7ad8P/F7QfttsMJE2bbsPjYUJkWSGhPpO1Ywo5aXJs7C7nAxIdZB8sZIZsdmstK5lh31zUyOD80wLTxMpbHNw5c7WzlnjjfjZ+OGbGYmNxCr2Pj99i9o19u5xHYhEao3fLhVsfK71IcBsBlsIV0HIMJay/ntP8XUYwOwnSb+x+98f5/AdWwIf4aq/Xv6wRb4ItbRSgPT6T/OSyjvSVTWejbuiiEnbFyfa+poaHgwDpBGoIs6irGRzNyMDrY4tjM5bCJmpe+5Xe1q8zgPKw1FqJx55pn88pe/JDMzkylTprBhwwYee+wxrrnmGsD7vt9555089NBD5Obm+txGU1NTOeeccwDIy8tjyZIlXH/99Tz77LO43W5uu+02Lr744n49PI499ljee+89Fi70xlxxOBzk5ubS3NzMxx9/HPI9jDqBAvwHdJdb4eEuZBzoYjUaEEKQZcrgx0nfp8ljJ8YQTbgSzo+T7ubNlhe5Y9LxxM5cDngn2NMXullXVYTmbOGrvWbyUidR75GEiTAi1Yg+zxngq5omTk/NRhoUHt79OaU1Vs6KOg2XdKOKDixKaF4wI/E8hlKnEIKPj/8en9Xs4vXSQsZZ47gsex7/KC3EI3WMQvWN7zmZLRSV+huo1UudMH0Hu3HxNr/h1MgTOS/6TL9++LrUTLRnIxKNBCxMxDvJd9JKHWlkUhAwB0hPgWhOZguz5Ay+bF+OsfHU/W6O/pFhBQoTmEcZW2mhjihCj67ZSAUqRr6bmc9HrZ+xOOJoTEG2bwbTzz2F5Z6au27hwn8KjLeYibeYKduWzfGJEymLXIurTKPD4wlJO9HF6TNj2FDcAXjHOsC0pDj+fNTlLP34zxiJ4ucVz3Be7HEsiJjXT03B2enYzaftK5gX3kFq5/cRCDQ8lLKdKBK5lN/wHx5mK5+ypnMdN8d5A6oF0xZkMxN6eWoFond8mEAkmCMYZ8r2O9ZV3welLbTR4BfUrD/hu1kzYBHtKKjscOxiinmy77cjaV79wx/+wE9+8hNuueUWamtrSU1N5cYbb+SnP+0OkPaDH/yA9vZ2brjhBux2O0cffTTLli3zxaAAeOWVV7jttts48cQTfYGtnnzyyX6v/atf/YqaGu+eoc1m49577yUnJ4cLLrgAm80W8j0IKeUg0wkdXFpaWoiOjqa5uZmoqCjWLflRv+UPR8FiKIM+kJahRjWTpDmGoUV9CRYGezj60yM93FB+O+V3XthnUm7ckE3Ztmy2bRtHkasYVSg0eJq4bLZ30svIL/a1bfO2TF4t28wkFmFMc+KqMPE0lxNLOmEGN2EijGJ3KVfHXMrxEcf6PE563sdA1v/DRc/+DLX+spZ2fvr5Bi6YnMXi7BQ+2FvBeZOz+OhrMx9UbaO9KRmX7iKn9UpqKGITH2BK82CrmEQy45me7KJJs/Pbuid5Nv33WBXv129hxwZmhU9H6ZWH4pXSLUxkfp8EUsEmd4fupEPvYIdjFwsjjupXjb2DFeQwl4WZ3e6gPQX/nuc2UUUHds7OTMOhO3ms7im+n3A7JsUU8rvTFCGIaRt4KhvMsy62t/FU4XYuPMXAadMHb0fQuCGbH35aiFFRKFBmkG2Nw148kzdK97GWt8ikgHpKOSZmAidEHud37kB2OEXOYv7Y8GceSP4hN5XfRaohhdmey7CkCQorPuNkbiYMC8Vs5L/8muks4TiuGFSysKFud/RkMPOHXbNjU20Bf1vW8jHHRRxNuGIOeu2uZ9vqdDPhmTd9a8ZI0LUuLT/xrn69PBZ/8vsRbcfhxqjTUPRcYL5tROuugQsdhhiEgYlR3a5Mcn494uvu1N1dE4HYnoOatorZJovf8S4mT95HXGsdhfb/IuyLaVVLGS9v5Az9eOaktrC6vZBxpiy+aF/JFWU38vGEO7CZvKrggyVIHEjdGVFWnl+6kJ+v2Mjbu8uIMhl5Y3sxW6vbqXa0MDkqiR2tNUww7SLaNYW5nENsYxIS1Tf5Z5BOvBrHq03/4ov2lViEBbMSxhxL36Q/c5PMJBrK/SbxTZ1bWdfhxqKEMzFsArWeOmo8XiMvgcAojEh0vuncTEKyjc3VZpIZ71dvO3YmMJ/dfE2+lo1N7btVoOGhmI2oGDASRhp5QAuv29/grOjTmD5lcDprq2No30Xtbg9WY+BpMNsWwV/uHXwOk56kRlhYvcdFuxOe7vyEG+MySSefNbzJUZzP7Ixmflb2HAus8/Z7dHiFCc/+hHC9vTJmZzTz54a/s7z9S26LuwEp4YLIs3mj9b9kUkxko40zuKf7HpjBHbwOwG6+Jpf5IbV7uGwTQtk+zcsrQkpJjaOF5HD/sdJ13l1H5QCVAc8fyff4SMbhcCClJDzcO+5effVV/vCHP7Bzp9ejbtKkSdx2220+t9VQOCgCxbvvvss999yDruvcd999XHfddbz88ss89thj3H333Vx22WUh1zWcwkS9p4G1Hes5LerkYaszEKGoCHsT6D5rbQqJ9sBxAwK9VAfSVweqmSgsjfJNSrmT9rD1oyocHq9XRpcw0aUK7iIvr4hWdzTbW6pJNHv3th/+ahMpTgcNznZkw2Ti7GexQdlAZpqdxj0tRDDBd72EpHiEEFxgO5stju38+Jv/8MzcSw7oProYSN3d+16GilFVeGjxLMpa2lldUcfSCek07PYP4dzz2Ww0deLZE+HX3w+n/JQ/N/6d/LDJnBpxIi/b/8HlpTdQeOoP/c6fGDaBL9tXscAyj72ufehSp01rZWHEfJq1FrY5dhCmmJkR3jfLYIvWiku6UFHYxnKMhGPAhAcnDtoo4CRymEWdZxd7nEXEqjFsXt9Jp1zHpnon0SSRxXTmZ3Z21cjHrcsJV8KZas5n+/bBafbsEcHfjZ70tqWoausgM8qKSe0bffNA6BoPt86ZzLaSXYjwYn48eQG/3/k0319wMuWlZgyur8jPt5LcYGBduRUzEftTjsOHPI0RMydzk1+9z5YtJzLCzB9mXUS1o5T3ysp4p/V97om/DU/90RjS2vDs8W9LA+V00MznvBSyQNFzPAVisHPaQGWFEH2EiVDOOxBhYjjXpdHImWeeydKlS7nrrrv45S9/ycMPP8x1113HrbfeCsDatWu5/vrr2bdvH/fff39IdY64QOHxeLj77rv57LPPiI6OZvbs2Zx77rm8+eabrF69mgsvvPCQPbh4QxxLIk8auOAw0J/KPVT6mzAPpfDQRSA1rS51XixayZKUfOp2jcdsCD5xZ+QX09DpZMPecjLyvccum5pD0c44UhqXsL7OxhqDHV13YS+KI0qJo1ZbgU4aOh521kQzLbmTCncV18Vewdvuv5E6uYjKHUO7v8HsmcfOLB60UDHQMzsKaNjdfx0zXDqF+//d3f9R3JZ5AwAV7ioWWY9is74GXUoUIfzGYExnOB9V/4MzJkzD4XHx1Q7vpB6tRnHRrC5Dv77B1KJUr8B3Wia8XlrDeOagoWHASBlb6KSFcKJorpmJRFJOCwKBGyeJNJLKpP21eQWK5W0rKHOX85uFC9ixo/s6ob4voQgTXfQUKsIN6rALEz1x65IaKjk5I4Ud+gZeunA2d3/0AdfMncCPl7/IDTmnkLzVhWZegbPxOL7mX8zhLE7mJopY74sd8QHP0EkLBVHJfMd2EXbxMYsSxuOpM/JO6/u46xch6BuCHEDDhYsOruMZdDQaKCeBLCQ6bTQSSXzfhofAUD6UgjEYzbNb13i9pJAfn540cOEgHM7r0sFi48aNvgyiTz75JH/84x+54oorfL9fdtllzJ49m3vvvffwESjWrFnDlClTSEvzupKddtppfPjhh0gpvVbqISQcGUmEEOxy7uWP9X/i92m/GvHrHcji3ZzXTvR26zC2ZmAO1N3r383vsE/Zx1Ozv+N3vPfk0eJ2sLm2iV2NzexpbPWNj7RIC4+UbuBMvIZrCz023lMkGbObKS4MRyGMf4m/YxZxjNfD+aLaSl6Chxnh00g3xnDBm8v59wWC8u3jDug+hspIb89tTtKgtO9xr9rcxfT0GP5v/lSuWb2B1Q37qGhvItUSQ42jhfiwCDR0dAkxJgtfNldy/szxvgU9GL3V2Gas1FNGAl6Xs3SmUMxGxuHdZhEILPvTsdexmXTyfXU1eBp51f4vkg1J/HrhgiHNBxn5xWwx2ZjqsvuO9dfvPb9q0yKDv0+DESh70lOwDFMVZqfE0eRwsa6qHo+u88xp88l/9j+YVcGZ//iYMxPn8ffq97iE0ziWyxEorDTYcesZrNR/Q6wyk0p9DTfyZ+ZGt6FLnXpnG7a6k5gaDjGkUkcxiYwjbG4TzrXd9h4SSTO1ZDIdieR5rseEhWt4CoHSrzAxkJYChudDqet59OfO3hODUDAc4LpxuK9LBwOHw+FzU3U4HD4Pj54sXLgQhyN0u70RFygqKyt9Dw0gLS2NiooKzjzzTObOnctdd/UNLXuwGWfK5Lq4KwYu+C1huHzGl7et4OPW5dw4cT5dr2fZtuyAQlV93IfoTREsmReOxWjgk+JK2lwaBkXwvYmLKd7d/YIv0Y+mTd+MXe4gRplOvPAKG1N1GwCeOigETky9nP+r+QXvvHE0ZiWsTx6G3urv3nQtDKEsLL21E6EIEqGGTe8v8VlYUlPQ+pupobDcRpkbOjU3UkK6NZb58eN4v3IrGjqLEyfiiPPu15eVpbCjfnzQ+gK188vNNtLj65H1XiFhpcHOeE9Dvx4eXfk4opM28ELDf7ky9rukGJPZOYAg05v+nl3PL95Q1eJDFSD6QwjB/UdP5/tvFfFV+XbiLGZcmk7Z9y7k6bXb+cVXm3i66TMcUmMj7zOD03znlshXCSMGu/4N2cxiFyvZW2YkN95JvjwFFO8YiCCW1/gRV/I4NXxBIeuII51I4qmjhBI2cit/p5IdOOnASUfI7e89F/R2Oe0SOIaSAmCgODkQ+D0SQrDVvQNI7PNbqIyGdWmkmTRpEq+99ho///nPueiii3j99df7aCJee+01LrroopDrPGRGmddeey3XXnvtsNV3IF/+RmFkyv68Et9m+hMktrOCVuqZzZkhZS304OLTti/4Q/ojiA7BV/Uf4pE6NRWp6A3mPrEOWj0OciMTibd0cNr4dOo7HOhSkmgNp2xbl7V/t4dAApmcqU/3i4PQ89+6dPOnyl/QTiNPlP+Ha1O7t7Z6fhENJFSEwkDCxEBjs2+/DzyWBxL6dvM1bhzks5hvOjezp62OeXHZGBSFjPxijnaPZ0NTGQBm1bi/jZsHvG5vSlylzLHMpHC/yDjfE8U+djOewMFwutxNq9nN8ub/cUfCLcyaUsn27X3LDmUxGmyZLkZCmOiibFs2t03MxKqGER3XxP8tX88fT1vAbfPyeWtzHVtaqsg1jKfD468NMJNEhJJDtJjKIq1H+vF62Lb/nw7a8ODiHH7MCl4mDkEEcdipoYhCwrDyHX6BASMuur80d7OazXzMVE4gi+kYCQuYxbU3vcfdQN4owbZFBhsrB/zfq58cM6NP2a7fu3JoDIXhXpcOZ37yk59w3nnnsWrVKvLz83n00Uf58MMPfYGs1qxZw+bNm31Bs0JhxAWK1NRUKiq6Y8pXVFQwb97g/a4LCwuJiIigLMk76I2apGVFti8DZ0eaA3eUfyhmY4uKpcLsK9Oa04Ee5m8NHlZnxNhiwJngwlJhpjmvvc+1LeVetyAtTMfYYqBtfGefMhF7w3FHeVCdXhVSR3rfQR293UpHmoOwOhPuKA/OBLff74pT+NoZ6J46k5wjek+5ee2UNnb7M7u2RKHEupCdKjVswjTeQTH/w0aSbw/cuTYGw4Q2VlW7sMR6sKW4ydEt7ONLpjAfh9VNZJGFqJjFRBZZWBuzBuf4NVhEJgoqObqFDoMb1948HJPclG1LpCJeISK9EYBagBl29D0xaCYdZ4KLOcD2LO9XVpbS/bVVV+S9J2O4zsa655gyNZcwUojGzFviff5ldzGrzcqFExJJMCnUFWXimdFEMza/vpnqslNqsJKoddKsmNiydQaW/e0BMKtupkZUsaUthdTdYZQarLQoXmv8pqo4SAKLU5Jo1735V6DPcyptNOOpNKM3mjBMaMOzJ4KwuV5tQ89l3b3Xq5IX4Rp6ownTVO+i06WZMGR1+D0ngLLcOsJJIxyBSW+kijruL7mXxlgDtjadGtVMTVo4LZFRFEerVNfE055VS9hOk9/YK07yX2B63lNavff/5gILpUoVrqQ6KhQHtnIjxkbDfuPACHJPrfLdL0AcCi17S9nM/7gl62pMrSaKk1Sa8R+jsww1NJkFJs/+Zxvt7ceYlAYAmrH5PadWYWSLyf85mqTORHcLu4xRTHS3+D2nLqJ0NzMKtrKlLcX3TB2af5mUsGZijR1UOqMZb6mnsDmT3uRYvEl2OjUjQijsMUb5jQdQWeiYyF9r13Py+Gye2lLKzNQTeOCc8fyzdB21HZ1Eqx5YBYYJbRirdTJtE1BTdpIssgmTXkFMdyi4N0djLGjm8+0S07h1zLPNJZd0KhDMyJlOU0cDX+5YyeT8iSzcfCeRBR4UcxMa+5jLXDKYiqkyjPrGPRSnSbbu+YxJc7OJIBYTZopYx0IuRtmbEHDsdVGkdFC5NRxLrAd3p/f5JOR4570c3dI9jrfn0JHmoCC2knazoNmqUNww3vcsgz2nJoeLSJMRgyJQHR3k5Rf7yuwypvNWUxudHo1piTE0VcURHaFjdUjqrQO7xg7XujSaOfvss/n444/561//ytq1axk/fjxtbW189tlnvjI5OTksW7aMX/0qNHOAEY9D4fF4yMvLY/ny5T7jl5UrVxIXFxfS+f3FoTgcY06MJAfbhqLn10c7TVSzlzCsxJCCtdci3FM7sNBj4w1+zhJuJ4LuLysdjb0UUqNOoEF+TayYxTGaNyb9zIwmtjp2MC3cm0o70PZET74mid0fpAQMLV2ivUat/ByBioFI3NgRCP6S8TQr21fzSvNrRBjCeG/xrQesDg9kiBmqhmI4tpZ675lD32fxBBeTYkjikdRfkJdXRHmHnXSLjRW1e4hvOIVWrZX3K6rJYbbvvN5754G+Mqs6m3lzcwse6cZsP561agtztSiaqMRFJ+dkjPMLTlVYGkU1e1htfI47Em4h3hB4DhgozkAgettQ9MdIaiPAf0z0HgvHf/J7LsyYxfaWah6adhbRpnAcmpt7V67AiIEvOlZyGy+z2tBGvWc1dawgQRxLvDrPL6DZSoOdZn0ru/Q/cCN/Ij+1gVft/6JgdgEvf/kqZmHGrjczm7PZyidABOPEFWyXj3ABD+DBxdf8k2r2ciLXM5mjeYUfMYcz+Zhn94fuDieZCczgNL/3uOv6XdTqXxAhxmMRaZRpb5GiLMEgvAa9XW0OlP69i1DeQY+uY+gVltqtaXxRWsOJ41L9+jmU+A/DtS6NxaHwZ8Q1FAaDgd/97nccf/zx6LrOD37wg5Af2mBY07GOOeEz+wTvOZLo0iocLPxTEccwnjlBy/ZOL6yg8mdu4WqeJJIEPlY34ZR12MR0FKESxzwa5Xr+p+xgsh7BrjIXyeRS6MsL0a0qDbSPWmCuJTrTCqW2PkJFlnoJmfJiXLKRCvlfGuQaZqvPsLEsBgun8VTGPK4pu5U5H/yaU3ensTgrmQSLGaemcXpuOuGG4X0tRjKSq3uvNaBQ1ZMr+D0vee6i1lNHefV2PLrOxqYymquzibfAexVVfsIE9DXIC6S6/tcmO+GKmaImlZnEYBICKzasxDAjo5Etju0YhYH8sMkIIbBTzds8wgURSwctTAxEhqevFq43Iy1IhMK7x93CtV/8l0nxVl4rWctNucdiVo18Z3IWd67/FwD/4P9weMxkKd8lTMRTqf8Pkx7FCnUcHtoJE97FvUluxCamYZYRfNH+DtPMU3GXukg1pjDFnMdCy1y+qG4mgvNZyf8wEs1k8X0KZRGJtJHNTM7mhzzHdXzC8wC00cg0TsFh2stt8VdTp9Xzj5qXaaeJWNKZzRlEk+SLkKpJF7X65zhELRnK+cQp89ihPYpKOOlcyMquV6nUFnQLJBRbl97CBIBRVfsIE6FysNalbxsHxYbirLPO4qyzzhrRaySqCbToLUEjrYWKLvWQhJKDHfK154LU08o+UHjqkWAw6bkB8lhMh1JJhB7PZj7CxCSsSnfiGUUYiRfeZDUlog6btpPIXoZ8/VmQ792TwTelUUEXUyEEYSKOcfIqsrkcIQQrDXYWemwYhZEUQzLPLTiH3Ck1fFVWS6vLu/303be+4Htz8zg+2z8rY8801IcbPcNfByKGFL7Lb3ih/s9MUSz8MP9UrxV7GmzfDpMSHHjqhK+OLuEwkFAB3QJSutFNkiGRHWz3Ow+8wcxmhBfQoXfwdcdaFljn8Q0fcAb3cEpk4IyXR1IY5UB09d/1cTE8U/8ClmQT/y7byHkZM4itO4m/ZpzADyp/SpI2ia18iS4cWMlAxUylfJ8OvQxtv0HlOOUK6uRXJAtvDJ0aTy1O6WRl6xoWmudR2LGe0yNPYSL5rDTYsWob2CT/D0EYEifF+9vUqkwmQp9AG97gFV/zL2awhCWuh4gxtLK3MpPTmMWUtBpWdqxmr+sflLa3M46ZzPIcjRkbqqE7I2y4TCVHuYat+i/Ywa+YrN1LhJLjHVv9CBUQumdOKOVD4WCsS6OFq6++ut/fX3zxxZDqGXWRMruQUu7PF2GjVWslzhAbNPb/YGjVvW5ZMf0k6DkUE19eXlGf8MK92xGoXcMtZIQiWDRSQbX5M2YaptHYVk4C42gTfYPWSClpYy9O2UCDaGaWDOyqFegetPjQooYKofQJN1xYGsUjmQ/SXALtliJmMImMqcUAnD0pk3s+WkNJcxtXTJuA0sN97FAIFf5aoqg+VvYi3GtjE0yo6BYSsihwfZetda/znw0a47KrafF0UtLRTKYpg1L6apmC0fU8aurGs4JVTObooG22KBYyjOksb1tBA2Ucx5UUlvavAg9E14KysbqRcbYIos0mv98dQiUad4AzvRys5xZKLJJUUzIPpfwEKSV/KnmJ8qpiTooYhypUkowJnKBdwwlcw0phB2CCegO61AAdRRhpl6VU6u+SIBaRKI4BCdfGXs4jtU+QFzuJNeXrqPXUcXvFj5hheByAbOUyWuROjHoMCDeRymSa5VaMIooc9RpKtCdIJIfdrMJEOI1UsLY0zeedpQqVNGMqJ0YuRovV+Kp9Ne80/pbJHIOUsxD7P8KEEFhEGmmcQ6X+P3bI35LHD4joYVDdJVRA6M//2xod+WDR3Nzs93d7ezubN2+mra2NE088MeR6Rq1AAVCnNRBjsKEIBRUDqjiwADWduoMIxXrA9XQRTIUXKPNhKAwlvPBIqdv7S0nszSIouDzmYjaYN6HXH0OKR/RZ8BrlWqJFPpGKNxLkSux+X8f9XXvr9sHnVoAee79BvpasRgNPLZnPs+t2cslbn6PpkudPX0hsuHe7qacraSj2ExBYIApV09NTSxAoBbje2L2w9qep8GpnJlPrXMCHbZ+xpOREpkxowBw2gUg1MlAoi37bBBCGgwSyfTEmeratJ+mmVD5u/YwytiCRPk+PUOn5ruhIHB6N3uLpQGHpD4Uw2HMs9BwDXf03O6OZDGMaupT8tu5JjrMuwikDeygoQkWTLnQpsIpMctVbgG4hcF1ZFM2GFlrqWsnxHE8t/8SNA6dsJEzEYhRRxIm59JStbWIqAE7djplpGNRZTJRzyNYTWMfbNFHFydxEbK909KpQOTZiIfMss7ir/OfM02CvcOChjU4qaJN7ceE1Yp4gbkZKnQbtT0juQSD8xvRwxLEY48D597//3eeYx+PhuuuuY+LEiSHXM2oFih07xjNxv0lBVxKkA0UgcEtPvwJFfwZjobogDtVNsTJOJbtGG7hgDw6F4aqZCLY4tlHhrmK2ZQZktlJYGuW34HlkB0aiMYi+kf0GorA0KqAx4mDoqYIFfyGvakcOZ1tzOHsyrFGWs2xvBd+d6t+PocSdGC5jzN5+/z3/Nk1tCbkfVhrsTPccxZ86XyTLlI5jdxZQgoZOWkoiFVV9J47+2mrEjLuHK2J/QZA2ObaSaxzP3JRW37GhLCKzkgPvc+8xRg1olDmYuCKDYTBuwz37c11ZNCoLODnTihCCj1o/pcHTyN/5PrqIJUE/GpsyjXZZgkTHKKORogUz3REie25TFXjOp3HmauasPYs40tktJM36NhJVfw1Sb9rYQyu7qNE+IZxUog33c4rnFtbzP97mt1zF46wrjyCmV9gHs2LmdO5kA+9TI4vR8eCiFgUjUSKPTOVCwkUqHr2THRSynBeZx3lYsQXdTgvEmLBxaDAYDNx3332cdNJJ/PjHPw7tnBFu07AzkgukWRma0WPvSG+HkoMlQPS30CzIdJHr+SV/aXyZK2MuIcmY2GchbJIbiBV9YxUMZGDYRZbSQYlheKLZdWkpAgkFEzrn8vudn3KM4v0t1L3ckfLsGOj8gewprNjI41jCmo9mWmb3d35hxwbAK1AUUUgHLcSTSTITAtbTdY1WqROn1RI9QJCh06JOYa+zb8CuQ7FYdAkATxat4IHzMw6ojp4MpJHoSZc9TwwpFJZCLOegUk0De5jPSbQqk6jSP6RGW45Ew0wiLXInTmqxkk2MmEmEMp5IMaFHfUfTiBEXnUxgHrWqHfa7d0upo+FAoNIitxOjzACgSHuJKCYyxfAjNnkeIJI8X32zPcezgr+zgy/JpIA9tdG0EcW09HqaNDvRahTJ5GLhKxKI41x+xAq1Eh0NU48tToMSzln6fSznRTbxISdwHeOZS2Fp323Q3vTcHulNoABwHunBLYNvfY0xeMxmM263G6NxYJOCUSdQBEKT2rBtU/THwc5YGSqHo/tsvCGOS2Mu5FX7v7gz/paAoWxVYQpw5sGht+FhMAPXVq0Ne3O3Bmyg7aqBFpKeNFGJCUsfF9yRxKulWMIWPmEJ5/mOR6lRbKQQCUSTRDaz2Mf6gOd3IaXETBJlbOLEzOA+/Hl5RVRWd/DW1g1MnLyHXTsCCymBGMn3K9uTReOGzANO/BaKINGffUsXVi5mpjyTarmeVv0jNNoRCEzEESHGeftavomDetpkEWEygQZ9LU1yHWEk8B6TGS8kZWopnVoNtZ7PMBGNgoV6vsBMMlHkkaScQLn2H8LJoEGuJEU5BYBphgf82vOK+DVIwQc8RZo4mwhlPHb9Bf5Wvg07VaQwkUjimc2ZrODv1FPGsVoWX6mNuGULRuG9f++7NpMExvEy91DIO3zKnwC4iAeJJY0wAmuZA0XlDNTXXRQ7S4lRh665/DbT2dnJK6+8wvr164mIiGD69Ol85zvfYe/evSHXcUQIFM1aC5FqBLrUCRuilmEoBJrsqts6eWnTHq6ankui1dz3pB4Mh6HRwRQmBrvvn2ZMZbxpHOs7v0HWH+tXxiqyaZelWEXfIEEjSW/Dw4EmqU2OLUwKy/UTOELRSITSVzGkhtDiwRGKhseNgyIKYb9A4W3rTF98Tm8dLaR6DH42D/7ChE69/AqLyCSRCaxsX022KZNUY2APjpTwaJakTEEVyqANMQP193AIGmdN9I69oWSK7W8M9H72oWrdAAzCSoI4hgSO8R1zynraZQmKcJEpLqRCfxc732DXv8FrFOFNjFbPamxyElu1tQAomHHQiLY/aJiDajKU8zGJaNLEmThpYLK8l3AlOWBb4sV8wmQi0WIqtfJTPHobbbKIdqo4nuuYxklUspMveImTuJE3+D2p4gw8eictbCFOLKCdElYalrDQY8NKNEdxISt5lXmcTymbWcZTuHFww3631d4xVHoSyjvlYjK7qQmxtw8/KioquO+++3j//ffp6OhgwoQJvPjii8yZ43XZl1Lys5/9jBdeeAG73c6iRYv44x//SG5urq+OxsZGbr/9dt555x0UReH888/niSeeICIi+PZybW0txx57LPX19eTm5lJYWEhubi4PP/wwy5YtIyMjNE3eqBMoAg+qKCQ6Ljp9ku5ASW0GS6iTYIIljAXpCVz7zgre/s5Jw55k5mAIEMOVywPgxMjF/Kb875zFsX6ThZkkGmUhnbIKh6wiRVnq01jo0k2L3ImOi1hl1rC1pSeBxkfvvi12lfKG/b/8JvVB3+/95dkYzn4bSWJI9SXy6knvhW+XCvvY54t70BOJholYrCKLRGzMscZS4izjjab/kGJMZlGEf5rsvKhkfvTNf7C7OrGZwvvUB4NzDex5/GBqCQcSJg9EmAhGmIgnTHQn8UpSTgC8Qp1D1mIQETTLrezTX0SgME35NWGKjTptBaXy3xgIZ5xyI1FiIqKHJtdMImYRfKsqXllIvOJNGBUtJ2OXW1BlBBnqeUzTvNuVqUwii+m8I17BJqaxW38aULCQjlXJRMXs1w8LPUuYyRLcOGikjGp2ITDwuVKOUfFf8PoTLoJhwtxvHpnDmaamJhYtWsTxxx/P+++/T0JCArt37yYmplvj8sgjj/Dkk0/yt7/9jXHjxvGTn/yEU089lW3btmE2e/v60ksvpaqqio8++gi3283VV1/NDTfcwKuvvhr02vfddx9paWkUFhZSV1fHtGnT2LZtGzfccAPf//73+cc//hHSPYx4pMwDpXekzDtFaDfWxYEKFkPNJ7CppoEIk4mcmMiAv4eqneg5WWkmHdU1/IG7RmIh7Nnvj5X+lxxmk77fJ74nutRollswEet1jVPcuGUbMWIazXIrNmVawPqNZh23Y3B90TtqX39scWzj7eb3uTX+eqLV/vsnWP8Nx2Iy0EQqwjVfyO3BXLfN8yqz8Rrv9XdOg74Gq8hC011Y1e6vFCklzXILNqXAr1+/aPuKWEMMk8JyMe53487LK0JKyT9L1/P83hV8csKdAa/Vn1fUQLgMYPIMr3DR33UH0kgN5dm7ZBNtsohYZfbAhYOc3xq2FuGIxy2bKZNvEM8xpKlLfdsPPfHIdqTUaaeMCDHOF90SoEOWYxHpfc7Z5HmAXPUGwoW/dq1V7qZdFtMid9EsN5MslpChngPgy+DZGyklHtrYqT1BJ+XMUf/oK7dX+xOZyoUYA7ibD8Rsj4lnuWZEI1SORKTMH/7wh3z11VesWLEi4O9SSlJTU7nnnnv4/ve/D3jdPZOSkvjrX//KxRdfzPbt28nPz2ft2rU+rcayZctYunQp5eXlpKYG1oomJSXx5ptvcvTRR1NUVMT06dNpbW1l27ZtLFq0iKam4EkIezLqNBSDJVC2vGAEEh4qO+2khtsGfd1pScGjrg1FmAC8uULqh253cLC+oHv38SxOZxl/4Hx+2sdoUBEq0eTjks20ye3EMo1IZb/6ToJHdvpNdF1YYj00Vx64DUbvVNzgtcn5Te3jPJP2GJFq/14owQzuhosu471gKLEutIrAX/z90a6k0KrX+wSKYJhEnDfmCxto0/cSKcbjknasIhOD8N/3LiyNoooEmrDSYFuNxRCOioGyqnLCVAML48exsr77Hbvoqz/xwtxLiTaF+wkCHW5vAg+LMfTpqd0sMLXJQSV7G+yW40iGUAcwiRhixdCEia7zc+IX01xpQpcaNgr8NBs96ZAVbNV+4ftbIZws5UIsIoty7S2cNFBg+BnQLdQuV4txUkON/hnZ6qV+9UWKXCJFLsmc7Hd8ned2wslgsno3ivB/ng5q2K09zVTlATTR5id0ZCmX0CBXk8hiX4yLUFmjNsPgnOFGlJYW//kwLCyMsLC+Qsjbb7/NqaeeyoUXXsjnn39OWloat9xyC9dffz0A+/bto7q6mpNO6k50GB0dzVFHHcWqVau4+OKLWbVqFTabzSdMAJx00kkoisLq1as599xzA7axtbWV9PS+c4Gqqr4U56Ew6gSKQJN1qOqwoRBMmBjql9CBpLXuSjw2FA6lOj6CWMYzl29Y5peeuQtFGDGLeBzYUHpkIY0WU2mSGxFSxSLS/CbHrmREB0LAaH2ucv7c+HduiL2KSDVi0P02nMJEzzqDjfHe2olQcMkmmvT1JHKir/5gRIrx6LiJYiJRymRc0o4iTLTKvWh00C5LWGk4HgBdeojSGumkhXj7cQiszMpsAft0n5ai0dUdIvuU5Dx+9M1/OC5xIt/P7xbAL3zzMxKt4fzljEUhbxl2JRGDvoazPRmMEDHSAsRI0PVeKEIljMDCBECYjMdEHC7sqIQxQbkRF01U6x/RzJaA59Tqn5MgjqZV7goq6PdmlvokQMDnGC6SmajehiJUlF6RRQzCSgLHhixMdMpKVKx+3iUHg107swlXAvdDp+5NItnb/uBnP/sZDzzwQJ/yRUVF/PGPf+Tuu+/mxz/+MWvXruV73/seJpOJK6+8kurqasCrTehJUlKS77fq6moSE/23sQwGA7Gxsb4ygUhLS6O4uJjs7GzfMZfLxUMPPcQxxxwT9LzejDqBAsCub8GmeIOySKnzIj8nSTkJm+JNLNWfgNE1GRzIVshQhIkDESQOhEMx+fX2MZ+T2cIsuZBf1DzCFNcJvufTdyGTqD0mKSEUYoXXhqJNFtGuF6NiJUpMGlK7ei/Mgfr76foXsCgWjrYu8LV9oD4cCSEi0DWGS3Au0/9NpnoxG4UO2IOW65DldMoqVMxYRTYAJuFtg1kk0aR/g4e27vKU4lLH4aaZdK2VMKx+XjS5k/bg0rs/Ha8bvwjGL2J5zS7fsXs+WoOmS5KsZrY3NJMfP7R7Hi7tQ0/6GwcHYwwcCLp00U4ZVjJQhIkm1hEpcslRr/IrF898HJ5ajH1Ch4FGJ3HKUZhlMu2yiGgxZcDrDiQQmkVS0N8EAoes6bdMF723YA4nysrK/LY8AmknAHRdZ86cOTz88MMAzJw5ky1btvDss89y5ZVXjmgbTzzxRN566y0WL14MeD0+YmJiyMzMZNmyZSHXM6oEinfffRfAJ0yAd9GxiRlU6e9hlxvJUi4J+nL3nJADuSOF4hd/KIWJjnQn0dtHxyPrLbgpQsGihJOSvJv66qkBz9EIHCUQIELkgMjBIztokTvJzsmkZN3g+6IroFXPtvWkydPJD1Lv9E2Eh9MiEkioMI5vx9kY+taPLt3oOLGItAHLSnSixKSA++8AMcp0bzmp0U4JTtlAmyzGIlL5WinmGN2bm7ZLqNi9cwJ72+rw6BoGpVuzcvnx3vbXdzh4eUsRu24+jy9Ka/imppHI2hlB29fznQlfXILVMXg995EmSCTkOPu8F1Xah5TLfxNOGkYRSapyBvv0l5ilPt7nfJdsRsNBO93zoC8YndaBmUQQkiLtRVI4jQRx9LAbnoP3Q7FF34OdjWSp3xn2+g8mUVFRIdlQpKSkkJ+f73csLy+PN998E4DkZK83Tk1NDSkp3d5UNTU1zJgxw1emtrbWrw6Px0NjY6Pv/EA8+uijvq2ZhIQEnn76acaPH8/ixYsxDCJZ4uhYnfZzxhln8CDP9TmepB5HEscFNf7povfLHywJUqg4PBphqtLvNQ+VZgIGr53ob3Icjq/jG+Ku5pn6P3FWYjudtUcFKDHwxCQQuLEDQ3c37VqYA/VPFtMwiP5fi8NtEelNf8GtWuUuIkTocSAGwqO30yDXEKfMJULJQUp9vzFtAZ+z2We0WVgaxawMO8mGRHpbgUspWV1Rx9n/+pQL87KJNpvYZ29lV2MLRwd5zL3fmeqaeLJDdBcc6H0L9b053McBgF3fTLn8N+nifFLUk9mtPcMO7dGg5V00YcDCOK5CSt1vy0HFhI6bSJHLFPXH7NNfJkKMwzKAHc5QkGjskr8ngklUaP8jTT192K9xuLFo0SJ27tzpd2zXrl1kZXk9ssaNG0dycjKffPKJT4BoaWlh9erV3HzzzQAsWLAAu93OunXrmD3ba4/z6aefous6Rx0VaM71EhER4XMr7ezs5PLLL8disQz6Ho6oXN+DlZR7TgiFpVEUlkaxfXuO7z/wqqH0Ho4wZduyKduWTavTzf99to5Gh4vNtY2srqgLeI1QNBojES1wMMLESoN9wMlxqJNnz3ZEq1F8L+EmNnVu5V1+R7anhp5ORhqdA9aninAkGp2yig5ZMaQ2QfD7CcNCu97ep+2HkkZ9g+/fXc+q678ipcOv7EDPskGuxSYCe870RsGATvAcGXZ9Mx2UoRBGmyzCLVsRQvF+4coSn2ZjpcGORPKbstc5LeoU9uzs9pl/p2ITC//0Cbd/sJpXzjmWp5Z43U1/+dUmchnc1tZAgkLP9zoQXXNAKBzuwoQ3rfgX7NafxkAUKarXWHK8ciNz1GeYa3gWVfSNkxMhsslSLqGcf7NPexmP3kGd7vU6cNKICa8LsUFEECOm0SkrR6T9ijASxwLa2EmrDH1+7JRVfKP9bETaNNLcddddfP311zz88MPs2bOHV199leeff55bb70V8K5vd955Jw899BBvv/02mzdv5oorriA1NZVzzjkH8Go0lixZwvXXX8+aNWv46quvuO2227j44ouDenh08ec//5n09HSSk5OJiIggNzeXV155ZVD3MGo0FF988QVnnHHGsNfb29e5p6p++/YcPmldznlTo3DqGonmCKz7XYTse3O5ISmL9iIjK50fcuOs4JNfV56Pg8FILoJDNYj1z5IZRS7XkEwDG3mPFq0eq3oeKiYMhOatkKAcTbhoxyF3hqS6D0YgjZWdGsqrcqkIoi05FAtJrDKz398H0yZNdtIpy3HImv1ugf73aSLaF6vATDKNci0GrCiYfQK7lDpNcj1mkeLrf6/772YspGMT06jWPyBNPQtdajTIr3mTQrKYQVTjGRDh1QY6NQ/vVGzm5QVXYVIM0All26DD48Kimjg2qVvwCDVM91C0fYMVvkcD+/S/0iTXIzCSr/7Ad1wJIaKwRUljhvIIzfo2dul/wE0LYSRjJsHvoy1K5LFLe5pYMWfQnhihkK1eikGzovfRafXFKetpltsp0/+NHsKHyeHI3Llzeeutt/jRj37Egw8+yLhx43j88ce59NJuj5of/OAHtLe3c8MNN2C32zn66KNZtmyZLwYFwCuvvMJtt93GiSee6Ats9eSTT/Z77ddff5077riDH/3oR4wfP57rrruOhx56iHvuuYfOzk6uu+66kO5h1AgUpaWlrF271u9Y19ftcO3h9Uy007UInhi5mOYSeMP+X9r0Nn6zaIGvvMXg3ftdaj6Vsm3eY1es+iufXHOcL+31huoGsqMHnwBrKAxFmDjQCbJnn/VH77ZFEscxXE4lO/lAf5FoOR2V8EHpzMJFCq1yN5Eid+DCIfCZugdd8wTNhjlaFpP+UYgUkzEQjoMavAJF94Rtl6Uo0ogu3bhpwSVb6eRDhFCQUidCGYeGE5so8PvCVYRKBDm4sBMm4vcLE2726M9iEzNIVm/GLUyw3xtj+/YcIjLXMT4iwStM9MDu7uC0lHziwyJGNJDbkShIgNdOxiGrmazeg4m4gIHJQiFaySdSTKRa/5A6uYJM5Xy/300iBhMxOGV9vwGyhooiDMSr89mjPQtc2G9ZTToo1f+JxE0aZ1PBf4e9PQeDM844o98PZyEEDz74IA8++GDQMrGxsf0GsQrEI488wq9+9Stuv/12ioqKEELwne98B7PZzI9+9KMjT6CYNWsWeXl50CO/gJN6r4FZjz28Fn0nUcrQvAC6CLTHfkHm2QBs3x78vLy8In6YfyoV27sNZoQzgX9uKWZpAG3TYCfL6O3Bs6oeCmGid11DsbMoNiSRJs+iTluFTZnaZ982EFLqFBeaMeJ1gRxkNuygNMsthCnHdEUyHhWUrBtcpt0U9RRK9dcZr15HeIDQ313W8s36VqLFFO+CQR0m4vDQipOGoFsmDmoJw+v+6ZSNbNN+yTjlKmxKga9Mzyyv9pLpbK/7wqd96HofPm39nCRlTp/3o3e5nvT3bvTmcNnKGglK1lkp1/9FirJ0WARtRRhIVZcG/d0oIqjWPyFDnBtwC6U/PLIdDQdhInjMHotIJ1O5iF2ep5houC1ouXCRSqb4Du3sI14spEIfnQLFoWL79u0sWbKkz/EZM2awb9++kOsZNQJFQkICuu4/05tF3xCr/Q3OwdD7yzuUSaiwdAZzMnPY3mtbcRwFbG8+8DZ1pDmwVPR9aQ+HWAmB6g1VwLCQgUd8gFVkew36REHAci1yF7p0IRAkjzewa8820pQzD7DV3bTKPaQoS4a1f3r2wUj0e0KOk7qi0PPXRIhxNBFHs76NaCW/37Jd71JXumwTMXTqVbQTOAeLihmJhl3fzB79eQrUnwUNrNQ1Ztsw83WpGegWEjZ0buJ7CTcFPK9LmGjRWqlwV5Jn9n48BHs3gl33SEJKSTvFtMqdxOc4EHtV4pQ5A584DGQpl1EvV7BT+z0JLCZGmYUhxHxKHjrQ6PQJoeCNJxFGol8QrAgm0sA6NOkIKrQIoWBTpmIhDZVDl3RwtGK1WnE6+3rZbdiwgXHjxoVcz6gRKBwOB5GR3WGsO2VlQN/jYBNYIHTpQhkg4+WgF4H9LokeXNSwl7T96YAhtNgX/U14os46pEBGPTmYqtuBtBZdbVGEEYkO6Iggex66dCGl2+cy7KnSseINHTwcGoom/RsMWAOGGz6csVcOnFK4NynKEor0PxEl8wa9XRit5NMuS2iTRV5X3h44ZQPRIp9OqkkWJwV9F7ueu0vaadI9GKSJwlITczJbaPQ0YVWsvrDdvdnQuYlkQyKV7mo2dG7yCRRhdf2/xwcqSAyUFv5g0y5L6NDLaWLjfi1tBjZRgLEqjQw1cLj/kUARKoliMbHiKDZq9yEkxLNgwPMg8AfhHu15nNSSr/wfe/TniBNzSVPPJFWchobTlxskECZhw4QNTY5OG4pDSUFBAYWFhUyd6p1fNU3jl7/8JY8//ni/2yu9GTUCRUZGht/kt1f7E+OVG4JmygsFBzVYCC2LWqh0TToLPNGkMNHvtwOd1IYaZrmLQzEhBhMqAgW1MokY2mUJ4PWHNxKBECq69NAhywnvsdhbYj0YOiMYjv0JKSU18hMmKt874Lp6M9J9PpQQ5AYRToQYT6MsJE7M7fO7lDo67qDnW0UWjfoGWum2X3HLFgQqijASzRSq9GUDunGX6K+SrpzNStG9xbiZNcyMD+6Fss9VQpOniaimM5nBsRTuD7yppnUe0LsRCsEDsh08pJQ0yjU06ZswEsl49VoUTL5twug4F80j43jRLwYRToH6M0q014jRZ6EOMetzvvpDdmiPsVX/BSmcTqvcS5O+gZgAhslS6nhoCxonZYzQufPOO31bG6qqYrPZeO+993jssce4/PLLQ65n1AgUvZlq+OkB12ERwytM9GSVYRj2OHqRld5OSc3g9swPBwaagD2y3WuQCSgYadWK8IhWBCqdsoIw4tGkA4Po/vKypbiprYinVe5Gly6MIprIQcRXcOuttLILgUKt/JxoMbVProHRgC3FPaScJsniZLZrvyVGzEDppQ2wy80YRP+GxFaRRbPcjFvvQBUGnLKZRNWbmVIIQRt7aKOISMYHrUOi+TRCXWOkzrOOvPq7KAyits7k0oDHDamOERcoujiU2op2iinSXyRP/UEfDREMfTwMB2Eijk4qWa/fQYF4cEiGmqowk6/+iAb5Nfv0V5gkbidSTAxYVggFgzw4Bu9HOmeffbbv31lZWVRWDk0qHX0z6BhHHE1yI+HCa8gaIXKpl1+TpBwLQJSc5Fvw7PoWJBrhwquVChOxPgt2u74JycAGnW7ZSrX+EdXyY0AnThxFvDj6oO05B2Kk7SwC0VuI8PsNQ7/CWbssxSNbSVSO8x2z65v8yiSIY4NuX3VhJIpOWeV79h7ZQbNQMMixPfBgeGQrGcr5AYWJw4Fp6i+p0T+hQn+H8eq1Q6pDCEG8WEC8sgC3bOtXyzUS7qpjDJ0xgeIwQJcaTup8C+W3DYFCGN791HZZ5LeN1XPhsylT6ZDl2PVNJGMDurU1JhFLlfyQFE4JOMlIKamVy2mW2zBgZabyKAZl8JHghpve20HDqVYfqC6LSMNDOyZsAX8PhEs24ZFtRCv+eRwUwnxGcx7ZQYcswcBJQWrxEiYScMkmn0DRJNd5PUh6hB0Y6eitow273EKScsKhbkZQhBAkiGNp1f9MmfZvEsSxmJXQ7dp6YxxAUzbG4cWYQHEYoAiVMDk83imjEYkENN+eaKwIri2wiHQsIh2VOpp0r2bDLJKwiHQcsgaJB9FLXe6U9WzS7idJnECucvPYV81+osVU7HIzicI/m6BHdtIqvanKtf3/jhKTkXhok0XE7E/Y1hOjiKRDVlKrf4pEI005e0CVd7xYxF7tOTqpokOW4aGVCcqNIQtTPctlKR2UGAZvnTtUoeRQbHvo0o2KhQZ9Nenq2QOfcIhQFRO5ys0Ue15ns7yfWeIJVDE0m4oxRhdjAsVhQn8q6C7cjiNzIXTIamKV2XgzdYTmtSAdERiE1a+8Lj3Y2UysmO1X1q5vRWAgU71oOJs9LAQyWh3MQnUgYyJMJNCmf93nuEGE45GtIMAuNxEjZtEqdyKRxIiZfVTQHbKCVn0XNfILEpWjSVZODOn6JhHNJPUu7zWU6YPy0OrNUPthqNFfDwU6LqqlN/NjOoEFisNpjshQzqNZ3zImTHyLGPTos9vtzJkzhxkzZjB16lReeOEFANasWcOUKVOYMGGCn5vJJ598wuzZs/ntb3/rO/bggw8yZcoUCgoKmDNnzqACZ3ybqdwautGZS9pp1NeNYGuGDyf1hJGIi0ZkVyjFAajYEkaL3IlKGB7Zjl3fTFgANzSAMOL71Xocanrn5xgM/Y2JgeqzkE4H5X75VLpQMdOkbyRaTPF6bihTsClTA2p3PLIVAxGEk+IXUyAUFGEkVpl9QMIEDO7dGIhQnsehMMo0CCsJ4ljCCN5Xw9kPB4qqmFAw4NLth7opfRiOdWyMvgxaQxEZGckXX3yBxWKhvb2dqVOnct5553Hrrbfy2muvMWXKFBYtWsS5555LQUEBzz//PF999RXXXHMNbW1tbNq0ic8++4yNGzdiNBopLy/Hah19nguHgtQpnSFPGEaiiBKTR7hFB44uPWg4UAmjWW4N2TgydaoDz5bFOKhFl05vnArhIUbM6FNWCo1OvWqYW354MJgx0RshFKLEZOrkCiyk+xn6RSmhj50oZTIe2U6jtu6QjbkD6YeBOJziT2Qpl7BTfxxdagHzcoxkPwwFAxG0yWJimXGom+LHga5jq1evPtS3cFgyaA2Fqqq+tKZOp9Mbpa29HY/Hw7Rp01BVlYsvvph3330X8GbrFEKgqipSSqqrq4mPj8do9Kqq09PTiYmJGcZbOnIZzEQhhIJBHP6Cml1uIkpMpEXuJFpMGfiE/VRttWAUEUSIcV7PDyWFGGWmL7FVF27ZQo38hGw1sLvhaOdAF48UsYQ2vZgmfQN2fRNN+sZ+Y1CA18DVrm+iUV+HLr3ZSOvl1xhF5KDDLw8Xh9MiOpIIIYgTc6iVywP+frj1Q5wyFyn6H0+HggNdx2pqag5l8w9bhrThZrfbmT59Ounp6dx7773U1taSltad9TEtLY2KCm9q6auvvpoFCxYwdepUIiMjOfnkk9mxYwf5+fnccccdFBYWDs+dfAtIyOkbGnX047Wb0HFhEKFPhl190axvx0h0n6ipunTRKndTor9GpnJRwFDRRwIHOiaEUMhWL6WDMqJFATHKDGKUGf2e0yQ3ECFyUbHgppVGfR1uaSdL+e4BteVAOJzfjYUem99/B0q8WESL3Bbwt8OtH1rlbqJF/yHeDxUHso4df/zxh6rZhzVDMsq02Wx888031NTUcN555zFnTnA19dKlS1m6tDu5TGRkJBs2bOCzzz7jk08+4eSTT+af//wnJ598cr/XLCwsJCIigqzZ3tB4bodC5dZwn4ovIceJJcZ//72jyUBdUZivTOqUToxm/8iK9iojHY0GbKlu6orCfPX3pCtXgjFcp6PRQOqUvqFdK7eGY4n14O70ymiBXuySdVYScpzYK41YYj3YUvwl94HuKTbT5WvPkXJPVtmEas9j7559g7qn9OkdmGKaiZVuFFowUkHzviTfPVXWbydySiExRJOm2ID2g3ZPcPDGXmymy9fOA7knS+c8qrdsJn9q7oD3NKkgg22b15NfkEuYWVAvq0gUpyDoOGRjLy67b3sPl+cUpnttVFxbolBiXVhcnpDuqb+xN2lqBto2F0nj5WE9R5hlKo71B/l9SnLB3j5N7cOBrmNj9EXIQBZZg+CWW25h/vz5/P73v2fDhg0APP7443R0dPDjH/94wPMfffRRiouLeeqppwL+3tLSQnR0NM3NzURFRTHP+NyBNHdUkzW7fdDZJQ93SrU3iBKTMIoorCIr5POyZrfzzdq9RIl8QKddluCmhWhRAEjWa3cAMFP9/aA0H6ON4RoTmnSyW3+GCcpNIfeXQ9ZSrL9CpnIRFpE28AkjyOH+bgx38LJGfR1OGkhRTvE7PlA/uGUrjXId7XIfOi4kGnHiKKxiHCZiBp3bpT+csp4K/V1y1KuGrc5Q0GQn67W7fGtGKAx2Hetal55Pf4JwJfD70ql3ckP5HYNqx2hn0FseNTU1tLa2AtDc3MwXX3zBzJkzUVWVTZs2oWkar7/+OmeeGTgL5M6dO9m71ys+SinZsmULmZlHpjp6jIExCRtSShyydtDn1uhf7M8fYSJSycUmZmCX39CorwVglvrEES1MDCeqCPNmE6U8pPKtci/F+ivkKFcdcmFiNNBTiBiOrQ+rGIdDVg9Yzi3bqNE/Y6f2OLu0pynV/4mRSDKVi8hRrmWccjUu7FTob7NN+5U32d5+avTPkFIbUvs06aBI++thG4TrQNex3bt3H8zmjhoGLVCUlJRwzDHHMH36dI455hhuv/12CgoKeOqpp7jkkkuYOHEiS5YsoaAgcArqtrY2LrvsMqZMmcLUqVPRdZ3bb7/9gG9kjMOTDlmBR/ZVp3bRKndjUdKQAxgC9kbHSQtb6BlWUREqOk7q5dfMVB8d838fJB2yDAP+kQmllEipI6XEI9tp0jdSor1Gvf4lE5SbMIkxg+qhciB2FbX65xiJ9jsmpYaHDjpkGU5ZT6esZK/2HEYimajczkT1Vsar1xKrzMYgrCjCgEGEk6ycSI56FZFiIqX6vwBvKPVS/R+4aR3SvRXrL5OoHHPY2i4Nxzo20vz6179GCMGdd97pO+ZwOLj11luJi4sjIiKC888/v4+BaGlpKaeffjoWi4XExETuvfdePJ7Q3PEPlEHbUMybN4+NGzf2OT5//ny2bt064PmzZ89m1apVg73sGHj3EUcbKuEoQYJVSamjyQ6vqjVIMqhgtDV5VbPl+n+JV45CwYREo15fRY567YDJrY4UhnNMxCqz2aL9nCzlUpyyHheNuGnZ37cedOnCpkwjXlk4qO2pg8FofDd6MtiQ6zXyU7KVS3wxRBrlOur0z5EN+TTqbtw0ITCQoV4Y8qKeqV7AJs/97NRqMOwPa98idxIvjhrUvXTIClrkTsar1w3qvFBxyxYq9HfJUi4Z8hbNga5jM2f2zX46nKxdu5bnnnuOadP8M+/edddd/O9//+Nf//oX0dHR3HbbbZx33nl89dVXgDft+Omnn05ycjIrV66kqqqKK664AqPRyMMPPzyibYZhsKEYacZsKI5cGvTVuLCTII6hXe7rkx+iP6SUVMr3qNLfJ67HhJesnOTLDTHG4HHKeur0ldiUqYQRh1FED3zSGCETijYiFKFCl26q9PdppxSJTpSYRLxYdMC5L+z6Zkr01zFgpYNSAMYr1xE7iOR5e7TnSFJOHFT238GgSzfrNK9WO0+9jwgxzu/3odhQDJbB2FCUlZX5tSMsLIywsODa07a2NmbNmsUzzzzDQw89xIwZM3j88cdpbm4mISGBV199lQsuuACAHTt2kJeXx6pVq5g/fz7vv/8+Z5xxBpWVlSQleY3Un332We677z7q6uowmUY28d7hE6d1jAEJZGU9WpFSUquvIEmcgBv7oDUKaVMdpCmnYyWLROVYxqmXM069/FsnTAz3mAgT8aSrZxEhckaVMHEkvRuhoAgjaepZTFRvY5L6PVKUUzGKiAPuB5tSQIH6M58wEUEuRfpf0WVoKnOnbERgHDFhArz3nqN4tR/btUdp1NeP2LUGYn15JIWlUQH/W1/u9QTJyMggOjra99+vfvWrfuu89dZbOf300znpJP/keuvWrcPtdvsdnzx5MpmZmT6t/6pVqygoKPAJEwCnnnoqLS0tIWleDpTRrSf8lnG4Ba05EGrkx0SI8SjCSIdeQZwyd1Dnd/VFknIiDfparOrhpYI/WBxJY+JAGC39MNJRN4ejHxRhYq7hWd/fJdo/6KQSKwNvnbTLfSMqTHQRp8yhWv+QDkrZqz9PjHgGiQ7oA557sAmkoQjG66+/zvr161m7dm2f36qrqzGZTNhsNr/jSUlJVFdX+8r0FCa6fu/6baQZ01CMIo6kr7AGvZBkxRt7RGXwxpOpUzrplNXU6p+Rqpw23M0bNRxJY+JAGOsHLyPRDwnKIkq1f1Krf0GbLEJKnSZ9I2s9N9GuleORHRRrr7JLe5o6+RWRYuKwtyEQeeq93vaJY9mm/Yad2mPs0B47KNceDFFRUX7/BRMoysrKuOOOO3jllVcwmw9NxNkDZUxDMYroHchlNGMVWXhoQ5EGPAw8Cbbq+yjVXydKTMRFE+FhqdToTWSrl42KEOMjxZE0Jg6EsX7wMhL9YBHp5Kq30CTX0aR/Qzn/RUqvV9Y2+RBogW0ZRhIpdarlh6SIJaSr5+CUDRTrrxApcg9aG4abdevWUVtby6xZs3zHNE3jiy++4KmnnuKDDz7A5XJht9v9tBQ1NTUkJycDkJyczJo1a/zq7fIC6SozkowJFGMcEgQqblpwylpixPQBy3toxkEVOcpVmIghUWh0qt9eQWKMMQ4mBmEhQRwDeI0id2lPMtfwLG7ZgoaTWv1zPKINmxLYzXK40fHQpG8kSkxGlxrl+ltEiPEkiePp6Uo+mjjxxBPZvHmz37Grr76ayZMnc99995GRkYHRaOSTTz7h/PPPB7xxnUpLS1mwYAEACxYs4Je//CW1tbUkJiYC8NFHHxEVFUV+/siHQB8TKMY46GjShZNaosREGuTaoAml2mUptfpykpQTaJV7yFIu7mF0GTy2xRhjjDFyCFTixSK2eX5LinIyIGiVu2iTuw+KQLFHe4EOWY6BCDplFU1yAxpOUsVpCKGgydG5/RUZGcnUqVP9jlmtVuLi4nzHr732Wu6++25iY2OJiori9ttvZ8GCBcyfPx+AU045hfz8fC6//HIeeeQRqquruf/++7n11lv7td0YLsYEijEOOm5pp0XuYK3nJtKV84KW65SVgKBeX4lR2LAFSE0+xhhjHFyEUIhWplClLcNJHQ5ZQ7SYimeIQbAGQ4u+A4Egklzq+RLwakzGK9chxJFvEvj73/8eRVE4//zzcTqdnHrqqTzzzDO+31VV5d133+Xmm29mwYIFWK1WrrzySh588MGD0r4xgWIUYa8KHCBqtNFGERJvSN/+vibCRBz79L8CMFd91u+3I6UvDpSxfvAy1g9eDlY/GEUkDqrpkOVkKZewQbuXCEbWhqJTVrNTf5xZ6uPe3D2ymfHiBhShHrHCxPLly/3+NpvNPP300zz99NNBz8nKyuK9994b4ZYFZtQJFA5Zh11uIlk58VA35aDT0TjqHlcfdOmmTS8CwEIWpn5iHThlAwDZyqV9fjsS+mI4GOsHL2P94OVg9kOB+gs2az+hQVsNMGLp6zXpoFz/D7VyOeOUqyjSX8Quv2GW+jiqGBMkDydGnVjXKNdStj/e/LcNW+rg8l0cjkip46EDhXDcNKNg8gkOvWmSG5imPkSCckyf346EvhgOxvrBy1g/eDmY/WAWCcxQf8Mk5W5mq08Rrgy/F0G59jbbtd9iErHMVp+kWv8Iu/yGeLEgqO3VGIeOUSfWpypLSRFLDnUzDgl1RaM/2ZUuXLSwA51OdBx0yhrCRTphxPnKNOkbqZXLUQjD1ON4T46EvhgOxvrBy1g/eDnY/WAU0SMWUXWt5yYAZqtPoggTHbIMHadf0K0xDi9GnYYCOGL3ywYia/bo92yo1P+HhjdT31T1J5hFIhYyfL+7ZSs18jNyldvJVW8OmvznSOiL4eBI7wenbECTzgHLHen9ECpHSj94dO99xDCXNllEmyymSPsrOeo1h7hlY/THt3NlHuOQoEsPtXI5ADYxg3CRikD1ExoMWAkjln36i7ToOw9RS8cYLnTppkJ7e8jnu2kZxtaMMVowKFamq7+mibWU62/RqK9lono7ESLnUDdtjH4YdVseY4xeFGHASg7tFGGXG2nWd/SJrieEwjj1SrZ4fkEV7xPFpEPU2jGGg64kVkPlYEZfHOPwwiRsTFbvxUoGihjZLJljDA9jAsUYBw0pJe14PTzMpOGUtX2+OHTppkj/C9FiKqnK0kPRzDEOEaGk9g5EqAm3NnseQMNJtnIpNmXqwCcMgp5tH+kEYN8mIsX4Q92EMQbBmEAxxkGj59aGgwpixEzUHl8e1fon1OrLSVCOIUU55VA0cYxDxFCFia5zw3RJmsfmW8wD1bcWb7bF3fpTzFWGx7Av0HUW9mjHGGN8mxgTKEYRR4Ilu4IZHQcALWwnWk7FICwAlOn/IlJMIlEcO2A9R0JfDAdj/eDFvdeb16U/weQOXu/+w+P935G28B8p46FEe40okUeMMuNQN2WMQTAmUIxxUIkghxa2AVCk/4VJyp1Eicl4ZAcAE5Qbg/qXSynZp/2VBlYTq8XS6Glksvp9IsWEg9b+MUaG/jQLI0nX9YYqWBxpAsnhQqJyXFCX8TEOX8a8PEYRxvDRn6I5TTkLhW6BYaf+OPs8L7FN+w0Ae7W/BD1XCEEHFahYCQ8PJ44FWMka8TYfzhwJY6InKw12v/9CRYRrIZWbk+nvNeLCgUQedEFmpDhSxkO4SEUVXm2LQ9bQrG87xC0aIxTGNBSjiCMhvHCEko1ZT6Vjv3EmQD0rAYhkCi1swSWbg4bknmq4HwBjs47bMCYPHwljoj/6Eyp6CgF6Y2heAIWlUX5//5P7OZ5rSSNvKM077DgSx0MY8SMWPGuM4WVsRh5FpE4ZnWl5ezPF8ANSxOl9jndSSrZyBcX63ynT3sKub6ZDr8Alm/qUHcm+qNWXs9ZzE2s9N+GS9hG7znBwpIyJodBTi2GaOrR4FZfxKGnkHTFbF6NlPLTLUtwytGcmhDoWZnuUcOSJs2OMCtLVM0nnTEo8/6KWTwCBh1aK9ZcAaGY7tfIzDEQQLxaQpp550NqWqCwmXiyiWH+ZJrmeJHHCQbv2GINnpcFOltJBiSFwVFXo3zbjSBEmRhM6rv9v78zjq6rOvf/de58pJyfzSEICBGIgIYCEKVZBnFCUOtFqrRapvfaqqNW+anuvt/Jii7X0Wu6r9Kq3g61e6tQ6UUAxRVAhKCgyU2QKEDInJ8OZ917vH4ccEkhChpOR9eVzPuTss/beaz177bV+a3oWgqExPCM5jRQUkn5lhOlbZIr5BEQT1RTTZAT99WdpC9CUiH6Ll6qYydIW9tv9JeFFioaBhZxIPTTp1pDH4cOHmT17Nrm5ueTn59PU1MRnn31GXl4eY8aMYcmSJaGwRUVFFBQUsGzZstCxJUuWkJeXR35+PlOmTOHw4cM9T4lk0KIoCmbVQap6BaNNC8k2/Wu/igmJRDL06Wk9Fm6eeuoppk6dSlRUFMnJydxwww3s3996+wGPx8N9991HQkICDoeDm2++mfLy8lZhSkpKuPbaa7Hb7SQnJ/PII48QCAR6Ld4t6ZaguPPOO1myZAl79uxhw4YNWK1W7rvvPv7yl7+wf/9+Vq9ezc6dOwF48cUX+fTTT/nyyy9pbGxk06ZNrF+/nu3bt7Nz507efvttYmNjw5kmiaTP0YUHIUR/R0MikXSSntRjW7ZsCXt8NmzYwH333UdxcTHr1q3D7/dz1VVX0dR0esO3hx56iPfee4833niDDRs2UFpayk033RT6Xdd1rr32Wnw+H5s2beJPf/oTL730Ej/72c/CHt+26PKQx+7duzGbzVxyySUAxMfHU1paSiAQYMKECQDceuutrFq1ivz8fAzDQFEUNE1DCEFZWRmJiYmYzWYAhg8fHsbkDG1Kd8tWezMDzRa14gvilAI0+tax0ECzQ38h7RBE2qFz9LQeO7NXIBysXbu21feXXnqJ5ORktm3bxsyZM3E6nfz+979n5cqVXHZZcF7XH//4R8aNG0dxcTEzZszggw8+YM+ePXz44YekpKQwadIknnzySR577DEWL16MxdK7e6J0uYfiwIEDOBwO5s2bx+TJk1m6dCmlpaWkp6eHwqSnp3PixAkAFi5cSGFhIePHjycqKoorr7ySffv2kZuby4MPPsjWrVvDl5ohjj2+b7qtBgMDzRaJ6kWhdfN9yUCzQ38h7RBE2qFz9LQemz17dqfvVV9f3+rj9Xo7dZ7T6QSCYgdg27Zt+P1+rrjiilCYsWPHkpmZyebNmwHYvHkz+fn5pKSkhMLMmTOH+vp6du/e3ek4d5cu91AEAgE+/vhjtm/fTnJyMldffXWot6Et5s6dy9y5pzd5ioqK4ssvv2T9+vUUFRVx5ZVX8vrrr3PllVd2eN+tW7ficDgYURDs/vF7VEp3R5CW56Z0dwRJWV7sca1fJleticpD1lCYtDw3ZlvrmcV1J824akzEpvmpPGQNXb8lze5szREGrhpTm0uzSndHYI8P4HcHNVpS1tmZ5ui2SJKyvNSVmrHHB4gd5m/1+7nSZLEbWGxiSKUJuveckkd7W91Lx0vZ12BS7FjtartpOrSrkfLYF8nw/hCrEj+g0tSd52SxB48P1OfUV3nPFqUTe8a9BnuaZBlxmi49pxQfHDwrGq0IRz0G8JnmRFN8bZ6jCzfokJGR0er4E088weLFizuMn2EY/OhHP+Ib3/gG48cHN7IrKyvDYrGcNUUgJSWFsrKyUJiWYqL59+bfehtFdHHgd/PmzSxevJj3338fgGXLluFyuXj77bf58ssvAVi+fDkul4t/+7d/O+f1fv3rX3PkyBGee+65Nn+vr68nJiYGp9NJdHQ008wvdCW6Qwp7XABXrVyYA2CL9VJRcxibkopFieWo/he81JKqXkG0ckGH5waEGw0LiqL1UWx7D5kngkg7BJF2CFbkX+gPheqMtuhpPdZcL03WftPuBPLmeBw7dqxVPKxWK1Zrx72Z99xzD2vWrOGTTz4JTQtYuXIlCxcuPKuHY9q0acyePZunn36au+++m6NHj4bSBeByuYiMjGT16tVcc801Hd63p3R5yGPq1KlUVFRQW1uLYRhs3LiRgoICNE1jx44d6LrOq6++yrx5bfsN2L9/PwcPBuWjEIJdu3aRmZnZs1ScJ7Sl/s8XAsKFbnjZG/hPdgb+L75Rb7DfWI6HCnThI1O9lQu0e88pJgBMSsSQEBNwfueJlkg7BJF26Bw9rccOHDjQ6XtFR0e3+pxLTCxatIhVq1axfv36VnMMU1NT8fl81NXVtQpfXl5OampqKMyZ8zuavzeH6U26LGVNJhNLly5l5syZCCG46qqruO6660hMTOQ73/kOHo+HO+64g/z8/DbPb2xsZNGiRdTXB72kFRQUcP/99/csFZIhT4VYT5xyISpmHOQQr0zCTgn79WcI6mKDcdpjOJRR/R1ViUQywAlHPRZuhBDcf//9vPXWW3z00UeMGtW6LCsoKMBsNlNUVMTNN98MBBvoJSUlFBYWAlBYWMgvfvELKioqSE5OBmDdunVER0eTm5sb9jifSZeHPPoaOeRxmhEFTRzdFtnf0ehTfKKWXfovEOioWDBwY+Bj6tSpfP755wBkchsxag5WJRlFad9b4lDkfMwTbTHY7dDSk2dPnHANdjuEg84MefSUrgx5dDYe9957LytXruSdd94hJycndDwmJoaIiOA97rnnHlavXs1LL71EdHR0qDG+aVNwPyRd15k0aRJpaWn86le/oqysjDvuuIMf/OAHLF26tKfJPifn92CbZMCiCw8+amgSx9AJtgYM3FiII039NolKPLnqFdSLf5KoTpO+/iVA+y62+9JTpiH8qEr7E/yEEFSKT5hhjEXDwnr+gGAxCkEx3FYapKfPoc9///d/A3DppZe2Ov7HP/6RO++8E4Df/OY3qKrKzTffjNfrZc6cOfz2t78NhdU0jVWrVnHPPfdQWFhIZGQkCxYsaOWkqzeRgkIyoBDCwC8aOGS8hJtjBGjERBRWkmjiED5qcSijiVSiiVQjz/vty4cqQujUiC+oF3vx0wCAgoLAwEYq8epkHEoWEKyArYYgvYP9OnrSA3BmBe/DjYWzW6UGBo3UsJGXuYhbcBDPJ1oJI/VGPuUvzOP/UMo+oknha4r4B58SSRw6Pt7j18SSQjzDiSGFeNKxE4OCwj4+pjKw6VT6BU1KFEnqxdgZjqK0Pw1OCIGBBx0vTeIIdiUTqxJcgugWZdSKLxAigIGfAI1YiEdTbBj4sJKMhhWbkooJBybF3iWbdZVGcYQIhvXL0uuBQmcGC2w2GytWrGDFihXthhkxYgSrV68OZ9Q6jRzykAwYGsQB9un/iYoVAy9RZNNAcPJTBOnBQlTJkPsADEG8oppGcRgFjYPGCzjIopHDTNB+EaoEAQyhs02/D4AkZSaTRT5JjMJAJ4YUCjO8uIUbk2LG0qKX4Mxty1vSUmB0tIlYE3V8zWdsZzUeGokiiUhiQz0LAA4SUFAI4MOHGwfxuKhDw4wZG5UcJYZkYhlGLrOIIiGYLnSclFPFMRqoopyDeGkCFOzEcCU/REFFIPgbP+c4u0liJKqShYIZH9XUiKBPnxTlMjyUAyoqFhQUopQc6sR2TERhJgoXx0hT56FiRsWMiUgaxSEUVDTFjkdUMNJQqaMcF078eBAEqwoVDQ8NXMLtpJJ9lg27Q5VRTKNxmEx1Pn6lodUz7yqDdchjKCB7KAYRSVne0NrwoUiFsQEAAy/RyljqxT6SlJlkqvMRgKac9vI21G3RES0rPdOYRgJfO3r1fuHubjeEnyaO0CAO4BN1+Kg+9X8t6qkiKUObj4r1rIpFQWWUugCHMobJehTH2cMePiJlTCyHSt9kc6WXCNWGzVFHQOg0NJyaT2CDeo8FDRPX8GArEdCWiChlP8fZQy2leE4NuZmxcgEXcQ0PoqIRRSJWwtNyV9GII4040s4ZNo5hpDCaTPKJEgls02qpF/sI0MiEMZdTdygJGylnzSdKEhcToJ4ATViZh6q09poYp0wK/T1Hn9LmvQ10BILnuJ11vEAUCdiI4huB77Bd82MQAAxULKFhSJ+oxaLEdZimRHUGieoMdOGmwthAhnbjOe0gGXjIHooBSHutJCVC51N/Q99GphcxRICT4n28ohIrCaSppc72XgAAHRdJREFU1yEIsE2/nxz1R+w3lofCRnEBo7TvUWqsYbh6PfYIB35Pt7aiGXR01GpWInQKks52StQdOmrFd4aveJ+veB8/Xm7jKSKIbiVGqo0tVIvPUDBhZzgxah5mYrEQG+q6F8JAEDirsmuPZtu0tMO4cYdahdm7NwshBH7h567ji7ib/yGCqDav56SCfXxMDSeYyBziScdG7wq2nnCm2DPbjLC8Fx3lOQgO76invA58wd+p5SQ+XNQoAoFBvdiPXQk6dPKIMuzKcGKUfKxKIho2zEQxSx/ZSti1RXfErOyh6D9kD0Ufc64XtSPUeB8Xnej++f09sUsXXo4af0HFzAj1NrbpiwCFHPUhKsQGDum/p4atxCh52JVMppqeB8AlTnBQf5Ed+uOMVR/BrERjj/fhLO1dv/T9RXt5ZEpmPYYwUFuMm5fFVVJWYTB7QrAy9eh+bFrrCYFNAS8mRcOqBV/3XXWlxFoiSI+IZZfzJAu3/JklKf9OQUYmLuEiUg226nWho53y19EsNqo4RhTxWAmGEQh8uPHQyAn2ks8VCAzeYxk2ojEHrFixU61G4BIlZKv3dTjurygqCl1/rnnjaqHKcpaYAMi64J+sPbmb/9r7CVMjJnNJksAQdXiEh5ePf04jNUQQRQk7iWMYI5jENG46Z2XX37T1PtvjA2F5LzaZ6josq9QWLowmcy2bTHVEADGnjglhoCgquvCgKTb8wkmafhInZXhpwk0Df+UkI5jEXRkXtxqeamZrSbScoDrIkIKiF+mJeGgLU5oH/UT3N/85Mz59/WLWGttoFIfwUkGjfpB8dQkHjT+w33gGgFguxE4micrFrSaB2ZV0MtT5HDBWcMR4heHiBkYMGzMoBUVHeUIgOMwXeMhBIHDGrqG46XPitDh+nLyI12vf4r2GNfwg/nv869Rg1/gBaxkl9ft5eUsJds3CLmcpFyeNxmfoeHQ/QghMqoohwG6ykGx18L9HP2di7HBizDa8RoDxMWm8638F4RPsdJ7gW9E3oykqGxo/pd5oIM82jkprFddFzeHt6j+QaxtLqjmFUv9J/CJApGrHoTq4xJLNN+zTsKgWhLiEbcdicOHESxP7jE/Qtbs7FBPdteOUzHqcSX4uTDreZtiv6o7z5O41AFwcOQOA31Su4GSgjEncwigm48XFBK4a0L0RLWnv3Y0d5u/xexGOcqv5OTcPe5iVGLLPmEAtMGiIX83yyt+y07ObPNs47EoEfhEgQrVhd9ih8QLGMROtRVXVHD8pLAYeUlCEiXCLh95GJ8AFgXo8NCIwEAhcOIkmCQ8NlGojOlz61h0aOYzAQMOOm1J2GsEtdU04iFIuYJR6Jwf05yg31hGj5Laa8R2j5AHg4SR2ZfDtUNtR/hiWuo+flC0OfZ9gy8OqWKlyVTPVPpk3ne/wTOVzuAw3FlVjo38tGz4VjHIkkjBuJCZh8M30CSRYInnAdimJVgcOsxWL2vr1bvB7KPfU80DObLR2Kvbjrjq21x4jQjPz/cT5lHvq0RQVDZW3dldzdfQVxGoxjLKMJNWUjFVtex6LoihMyaxna0kMdmIo5Nug97wSaLbjlMz6VsdTU6qgnQ0gbeWX8A37EayKhTTTMHa791LpCXA9S9sd+hjI9FZF2t0yrDvxOf38ZpJlGUGBdxKzHN9AFzoWxYJHeGk0Gtll2cun7l8hBBz3n+DxlEc4XDqyVXylsBg4SEHRRQabcGiJgY6CSiPV7GEDxbzRbli7HksyI7mCHxJJHH9XP8Ip9jBMnUOTKMGsRHW42kIIPeiMqsVY+Ejtu5QZRVQbxbhwhY4HaKRWfAGGwKFk0cQRXJQQdWoGeTDM6fA+pRYY1k0r9A0d5ZPK2L9SGDkVBZV/er/mxZq1ZJiDIumty25HFwaHGqvIsMdh08z8hHFnXaPR76Eh4MWbEc9Ii96pOEWZbUSZO/bXMdwey3D76bg7HEmhvx+Y1nJinR840eY19u7NCv0dFBWnx4+7s3zzTFtOyaw/a2jjCG27Ut+7N4v36t9DVVS2ubezz3uAYYGpXM39g0pM9Gal2dMyradOuUZaRjDSEuy9yM8tAYJLKL1GgJlaOlet/ys1vuD7HxBn76Z6USBWiooBghQU7dDXwkEnwN/4OXWUMZJJXMhcLNip4BARRGHCQgoROPETQ9ClagA/JsytJkh1xAG2sIsi8pjdpphIZ1xoaRhAA9X8jaUYShxu4yReKvHo5diVDMqND4lR8lFQUdBwKKOxkYRJiUags09fBgR7FqKVcbjFSRQ0KsVGABTMxCtT8Is6DLwIBAHhxqtUk6JcRpSS3SpuZuV0V/Q+/deM5z+7buRe4Fz5pIpj2IjEQXyoVbai6jAbmj7FY7iJ1qK5NnoO2ZbRxGmxwGE0RSU7KrnD6zrMNhxmG0fCkorw0lzZNwuLM3sTmgXGuWx3+rz6DsN1hHl4MW+VvMdoyyieTH2cWC2Gbcdizn3iGZxrTkFvEw5Pmp2N/5nPqy3am8DbXRs15xkhBM/sL8IQgtdKtgGQ7UiixufivoR/IcWczLFu3UHSFwwpQdHeHIGWCrY/CgU/XhqowkokETjYyMuUsJPpzCeHiwjgZwMvITCwE80ePmIPH5HGWErZd2r9ucFEz0R2sItp3MAW/grANG7iCNup4BD38TJr+C9UNCZxNelntGxzuIgcLgJgN//gOHswYyWSeLKZQSHfDjnPaf5/s8kZOr95ohVAJvMxhE5wvreXJlGClyqajKMEaGSs9giRZKLjwS1O4KWaAA2kKdfiE/VEKiNxqCMxE42JyA7H1g2h4+Fk6PtkbTl+T3gWJ4UrP7RVCD9w4lFq9TpujL6OS2O/icfwsLahiGJX0F+ATbGyPP3pbt2vubJu8LpwHwqv06G2JjaGk44qrO7e26y3nR/GRCWzdc5PWvWadIWWlXd/liEt6cgbaPMKj3CKh3Ce1xbjxh1CFwbrTu7luLuOvxzdSoIlkuWTv0V2VBIptmi2Vh+Fst7fi0LSMwb1stH+fLGrOYaBQTzp1HAcD41EEEMdJ6ngEHWUEcB3yglMIylk4aYRDw24qceHByt2bDjQMOHHi06AeNJR0dAJEMCHHw8giCCGCKKJJ41YUvHiQmBgYKAA7/A0I7mQIwS33o0ikUzysRGFlUgMAtRTiZcmROifQRVHaaQGgFt4MuSoppmeehVsi65cs87YwQEj6FpWwUSWehdxyqR29+zo6zzRVsFqCAO38GAIgxLfMWoNJ37h5w81L/Nw0iLSTKn4hJ/h5rSz0tHWksfm42dWij1d5tlRGnpbVPQHLe3XFdu1l1/7W1h0l3A+7+4KteZ71vnc3PXZyxx31XLtsPHsayhn7rA85gzLJcnWekiq+V5tPbuWz0guG+0/Bl0PRX+9xBUc5nPepo4ynJSfqughiwISyMBGFGUc4ADF3MoviCcdE9bQvIXODEmcC3O+E//OtrtrH+RVIDh0EvSwF1w14KYBH66QIx4bDhQUFFRcOCnjayzY0DCTwOlt5Duq9LvzDAx0fLgBmBaIxIS51T18oo56sR+vqMBHDQGaEBhAcNhklHonZuV0AZOW56Z0d+sXuS/zRv7wSg75jlDUUEaNXstJfxl+4QdAVVQiFBuqomFTrCSbktAxWBh/OxdGTOjwuu0V0O0db84TPRF+W0uiz6pk9u7NGlSi4kSiSnqV0e7vPan4eitfhbOV30xDlouoLvZY9eQ59zSPRGhmbho+ieX7/8EJj5OVF32/zXDnen4tn9HHmrtHcZJ0n0EnKMKNwOAL/o6NKJqoRWBgIYJEMnEQTyVHWcuzocrtTObxSIfX18Jo4vbExJn3s3M6XCSx7YaNJJbRBD3ibTLVcQQ3EJ6XsbmwbG5NvMUvOM4eUhlDcM2ACXOgeYWAglPRiFXGE6tOwEICJuwdDoP0pZi4MKOWr72HKPEfp1av45jvOB9Xq4yxZDHcks4Ya1aHKx7CTcsWWmfyRFeu2bKSa1mID3Rx0VtiIly0Jx56xa5nz+EdsFg1E98dOY0T7jrWlu6h3u8h2mzDFfDx58PFTEsYSeWxMSSYmkL+Uc7FND2GL3o53pK2Oe8FRRUlFPMmWRSc8quv4MeDHw8emnBShgkLdmJwUoGdaKZwPQfZyigu7NO4htvNcncmd3VUca/nD0zgKiLid3JHyZ8AMCtm4kQGKWShE6CWUgL4CeBlJBdyPY8FTxbBj4FOPZU4cGDqwMFRZ23hx8t+PqGcgzThBARmbMSRxmimkMTIds+dlFHD2oYPeapiJ+Nt4xhpGUG2NYubY74ZcvjU15zZ3dtsh674GOnoGbYlLAYDFbEqyXVni4q2xES4hoqa6Y6tekugtWeHgc7DOVdQmJDFZf9Yzo9yLqPC3cDKks/53aHgttxzoi5nbMO/9HMsJefivBEUpexnF0V4cRHHMNLJJY0cEhnBfJ6gkiMU8WIo/DweQUUlliuJJfWs613I3L6MPgBanJ+zF031Ll1p+e/gA3bwAdRAopZAtV6DX/ip4BCqqZEF8bfRZLgwhEGKKZmRlkyceglvlO6kiqMc5PPQsMi3WcIwLmj3Xp2xRSVHeZ3/4DJ+wAy+hf3URk7FvMmWU59/4UXstK5gmiuI31evZJt7OxdHFjLCnEmCFodX+Njj2U+yKZEUc8crMXqDMysv5+gmDrQhrLrbY9Ne5TjQh0Bc1uBclHP1RnRVTHRXWPWXrZrtMFg43FjFg1+8QZ3PzWUpwfd9+f5/hH7/VsyNfDPmGgC2Dp1dB4Ys542gqOQwVZRgJ4YSdvIV7xPAxzhmchX3kkIWGYznVf6daJJwUo5OgB18iI6PWk4SwMtopnE5Q1Mp97QS+pN4nopAJf/0HmR940ZURaUiUAlAWaCCpyuW80zaUpJMiaFzX6v7G58rXxCtRjHDNpmNTZ8C8Do/Y07U5dwed0so7KqSCnbxDwx0ZjMHM2dvOOShkUZqqKeSD3mRMUxnHDNbhZnKDUzgKop5ne0Rz/NA0r+2ma5SfxkNRiNrGtZx0l+GqqjscO8mQAAVhRRTUFCoioraYp6M3x/Jdfz4nH4OwtUL0N6yzPOBZgHhpAn33ra7xLtjjzNtOpDF1GDEEIK/HvuSp/d+wOLx1zLKkUhaRAxPjL+WfftG93f0JN3kvBEUE7maiVyNQOChkSbq0PG3mmNgwc5krqWEnWSQjwJkks8X/J0SdgJwnD39k4BeIBzzDloWvKqikmpOIdWcwkzHRZz0l/H/qp6nVq9DQSHZlMSfa15lqv1CQEFTNJJMCUyzF5BjySbNMoxro6/Cr/t5vOLnvN9QxPsNRWfdM1K102gdzpWZia2Ob276jBeqf0eEYiNOi2VmxBTitFi+8j9Hg9GILgwUBYQATVGp9pfzw+iFQHBlRp3u5IS/lAA6cVoMN8RcxwHv11QEKkOrNrKtWTj1ehQUxlizqG+KDXkaNQg6mLJgw0zHDqR6k94arhjovRTtMdiGb4YyzQLwyfKn+af3IACmqsmo9RmUAWUdnHu+COcVK1awbNkyysrKmDhxIs8++yzTpk3r72h1ivNGUFRRwv/yaKtj97OSg3xGNEnsYB17+Cj0WzFvEEvqqdUPGVzCHdRRRmKLlRDnK50toC+b4OIyvtfq2PodkRzzB/dc8IsABfZJxGqx7HTvZp/nn9ToNVQHasmyjOSQ70irc+c4LifVnEKCKZ5R9lFn3S/bOppFiXejnfKa6DO86Agy7MOxKVZiTTEIIUg2JaEoCoYw2O3Zy2+rfofb8BCrxTDckoYJE197DxGtRZFnG8ccy+XYFFub8ya2NnVcqMnKrHdpFjjFpITtWpLu0ZXJr/+REpw7dUfJ3fyh5mUK7dOYGJHPMHPnn+OZXliHAq+99hoPP/wwzz//PNOnT2f58uXMmTOH/fv3k5zc90OsXWXQ+aH4kfJa6DcnFaf8PzjQCeAgvt2WoUBQzkFMWLERiYFONEls4jW+5O/cwx9R0aillD/zMAC38csOJ+31NeGelNlVOlM5hms9+8bGTfxPzUtthl027EmiR8ZgO27hmP8EB32HOeoroSZQC6d2iDQpGtFaNFbFglWxoCkm6vUG1jX+g3HWHCJVO27hYZz1Ai6OLCTBFN+l+HamIOsNMXGmfbsyGbG34jAQGKyTEcNNX9ohXHns+yX30jwjyqJYmGDLI8sykkzLcC6wZmNVLK122G2Llu+jFxfP8/1B6Ydi+vTpTJ06leeeew4AwzDIyMjg/vvv5yc/+UnY4t9bDDpB8cqI/wn9trb+Q/637vU2z4sgmkhiMdAxMEhnLLtZD4CFCKZyAyoaBgaH+JyTHGAUBUQQRTIjiSOddMaFddnnQGYgzVRvq6Da69nPUxXPIBB8M/oaanUndbqTEZYMRltGMdKSSbwWd86Cp15vwC/8RGtRmMO8+Vk4GIiVtURyJuEUrHW6k4AIoAudeFMcQggO+g6zz3uAvznfBeAKx6XYVTt2NYJ0cxp21U6cFoNNsRGltW5kuQ03dx9/sE8ExUTtKbR2GrE6Hr7Sf8qxY8daxcNqtWK1nr3E3OfzYbfbefPNN7nhhhtCxxcsWEBdXR3vvPNO2NMRbgaNoHjooYdwOBz889nd2BQbFiW4h4VJMWHGjEkxYVI0fMJHnV7PCX9pcJqcoobG4VNNKVwRdSlew4ddjcCsmLCrEVRWjSSWYVj6cdy7mY4q9u44rekpA6mC8xkBSt1OAoZOYHgcY51BQTAQ/Ay0RV/Y7lwOnc4XpB2C9KUd+uK9C4gAjUYjAaHTZLhw6vVUBCpxGS5q9TrchocmwxWaGwVgUkxsdX/Rq4LC4/EwatQoyso6mvUBDoeDxsbGVseeeOIJFi9efFbY0tJS0tPT2bRpE4WFhaHjjz76KBs2bGDLli1hiXtvMmia37feeismk4m3XvDgFm78IoCCgi6CTqrdhhuv4cMjPHiEF78I0GAE1xnFqNE4jXrKAuW8Uvtau/dI1BL4TfpTfZWkLhMOMTGQBEJXsagmRkYmBL+c3mJkUKepp8hKNIi0Q5C+tEPL9663xIVJMRGrxQKQSEKnzqkO1LDV3buurWw2G4cPH8bn83UYTghxlnv9tnonhgqDRlCMHTuW6Oho9ti2hfW6Qgh8wodbeIhQ+r+HoiPO1UNxPlWsskUaRNohiLRDkP6yQ2fLnr7o1bCrbc9pCDc2mw2bLXx1RmJiIpqmUV5e3up4eXk5qaln+0IaiAwaQdFbKIqCVbFiZeCoxvZeziMpGiOteh/HZmDi1waXA5/eQtohiLRDkIFuh640egbqUGZvYbFYKCgooKioKDSHwjAMioqKWLRoUf9GrpMMOkFxPrXCJRKJ5Hylu2V9Y8ALx8McmT7i4YcfZsGCBUyZMoVp06axfPlympqaWLhwYX9HrVMMOkEhkUgkEslQ5JZbbqGyspKf/exnlJWVMWnSJNauXUtKSs/9rPQFg0ZQ1NcHVz80Brz9HJP+w+XTaAzIIQ+QtmhG2iGItEMQaQdoGuR1xKJFiwbNEMeZDHhBYbFYSE1NJSMjo7+jIpFIJJJBQGpqKhZL+7sVS3qHAe+HAoJrfs+1PEcikUgkEgg2RMO5AkPSOQaFoJBIJBKJRDKw6dhPsUQikUgkEkknkIJCIpFIJBJJj5GCQiKRSCQSSY+RgkIikUgkEkmPkYJCIpFIJBJJj5GCoo+58cYbiYuLY/78+QC4XC6uueYaxo4dS15eHs8++2wobFVVFbNnzyY7O5ubbroJj8cDwPHjx5k1axa33XYbuq7zzjvvcOutt4bOW7RoEVdffXXo++OPP87TTz/dRynsHocPH2b27Nnk5uaSn59PU1MTn332GXl5eYwZM4YlS5aEwhYVFVFQUMCyZcsAeOihh3j++edDv48fP55f/vKXoe8XX3zxoNj6tzOsWrWKnJwcsrOz+d3vfgfAK6+8wuTJk3nllVf6OXbhpyf5AsBkMjFp0qTQ589//nN/JKPL9EY5AXDppZcyduzYkD0eeOCBvk+cZOgiJH3K+vXrxbvvvituvvlmIYQQTU1N4qOPPhJCCNHQ0CBycnLEgQMHhBBC/PjHPxbPPvvsWX8/+uijYu/evWLFihVizZo1ory8XIwYMSJ0j4svvljMmDFDGIYhhBDisssuExs3buyrJHaLmTNnhuJYXV0t/H6/mDJlivjqq69EIBAQ06dPFzt27BBCCPHtb39buN1u8Z3vfEc0NDSI1157TSxYsEAIIYTT6RSTJ08W119/vRBCCJ/PJ+Li4oTP5+uPZIUVv98vsrOzxfHjx0VDQ4O44IILRFVVlbjhhhuEz+cLpXko0ZN8IYQQCQkJ/Rb3ntAb5YQQQsyaNUvs3Lmzr5MjOU+QPRR9zKWXXkpUVFTou91uZ9asWQA4HA5ycnI4efIkAO+++y533HEHALfffjvvvfceENyBTlVVTCYThmGQnJyMpmmcPHkSt9uN2WwmNzeXffv2YRgGX331FVOmTOnjlHae3bt3YzabueSSSwCIj4+noqKCQCDAhAkT0DSNW2+9lVWrVgHB9CuKgqZpCCEoLCxk8+bNAGzZsoW5c+dSUVEBwPbt28nNzcVsNvdP4sJIc8s8PT0dh8PBNddcwwcffIAQAkVRUJSBvdNkV+lpvhjM9EY5IZH0NlJQDCCOHTvGjh07mDx5MgBOp5OYmBgA0tPTOXHiBAD33nsv3//+91m/fj1z5swBCFWqW7dupaCggBkzZrB582Z2795NVlYWERER/ZOoTnDgwAEcDgfz5s1j8uTJLF26lNLSUtLT00NhWqZ/4cKFFBYWMn78eKKiosjIyMDlclFdXU1xcTEzZsxg1KhRHDp0iOLiYi666KL+SlpYac8m8+bNY+rUqdx44439GLvw09N8AVBXV9dqyGP9+vX9kpZw0pNyAmD+/Pkhe7QcHpJIesqA38vjfMHr9XLLLbewbNkyIiMjOww7atQoPvnkk1bHmgVFcnIyM2bMIDs7m2effRZd1yksLOzNqPeYQCDAxx9/zPbt20lOTubqq6/usEdh7ty5zJ07t9WxGTNmUFxczJYtW7j33ns5ePAgmzdvpri4ODQOPVS56667uOuuu/o7GmEnHPkiNjaW7du393JM+46elhMAb775JuPHj++tKErOY2QPxQBACMH3vvc95s6d26ryi4mJwel0AnDixAnS0tLavUZhYWGoQp0xYwZ5eXns2rVrULTQ09PTmTJlChkZGVitVubOnYvL5Qq1tKBz6d+8eTPV1dUkJCQwffr0kD0Gevo7S1paWpdsMtgJR74YSoSjnJBIehMpKAYAP/3pT7Hb7Tz++OOtjl933XW8/PLLQHAm/7x589q9xoQJE9i7dy8lJSWkp6ejaRp2u52ioqIB30MxdepUKioqqK2txTAMNm7cSEFBAZqmsWPHDnRd59VXX+0w/YWFhaxcuZIxY8YAcOGFF7Ju3TqEEKSkpPRVUnqVadOmsWvXLk6cOEFjYyNr1qxp1ZU91AhHvhhKhKOckEh6lf6cEXo+cvnll4vExEQREREh0tPTxcaNGwUgcnNzxcSJE8XEiRPF2rVrhRBCVFRUiJkzZ4rRo0eL66+/Xrhcrg6vPWvWLDF//vzQ98cee0ykp6f3anrCxerVq8X48eNFXl6eeOihh4QQQmzevFnk5uaKrKws8cQTT3R4vsfjERaLRTz33HOhY9OnTxff/e53ezPafc4777wjsrOzxejRo8ULL7zQ39HpdXqaLzRNC71XEydOFM8880wfxLrn9FY5MWvWLJGTkxO6xm233dZXSZKcB8jdRiUSiUQikfQYOeQhkUgkEomkx0hBIZFIJBKJpMdIQSGRSCQSiaTHSEEhkUgkEomkx0hBIZFIJBKJpMdIQSGRSCQSiaTHSEEhkUgkEomkx0hBIZFIJBKJpMdIQSGRSCQSiaTHSEEhkUgkEomkx/x/TekYKlpw+8IAAAAASUVORK5CYII=", + "image/png": "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", "text/plain": [ "

" ] @@ -424,7 +423,7 @@ "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -448,7 +447,7 @@ "kernelspec": { "display_name": "pyunicorn", "language": "python", - "name": "python3" + "name": "pyunicorn" }, "language_info": { "codemirror_mode": { @@ -460,7 +459,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.1.0" + "version": "3.11.7" } }, "nbformat": 4, diff --git a/examples/tutorials/CoupledClimateNetworks.ipynb b/examples/tutorials/CoupledClimateNetworks.ipynb index 59b45764..e69aa680 100644 --- a/examples/tutorials/CoupledClimateNetworks.ipynb +++ b/examples/tutorials/CoupledClimateNetworks.ipynb @@ -13,7 +13,9 @@ "id": "41e36ae2", "metadata": {}, "source": [ - "The objective of this tutorial is to introduce *coupled climate subnetwork analysis*, which uses *interacting networks* in order to study the statistical relationships between several fields of climatological observables or between a climatolical obervable at different vertical levels. First, some theoretical background on *interacting networks* is given and the method of *coupled climate network analysis* is explained. Then, some methods provided by **pyunicorn** are illustrated by the example of the Earth's atmosphere’s vertical dynamical structure. An introduction to (single layer) *climate networks* and their application with the pyunicorn package can be found in the tutorial [Climate Networks](https://github.com/pik-copan/pyunicorn/blob/master/notebooks/tutorial_ClimateNetworks.ipynb). For a detailed discussion and further references, please consult [Donges et al., 2015](https://aip.scitation.org/doi/10.1063/1.4934554) and [Donges et al., 2011](https://link.springer.com/article/10.1140/epjb/e2011-10795-8), on which this tutorial is based." + "The objective of this tutorial is to introduce *coupled climate subnetwork analysis*, which uses *interacting networks* in order to study the statistical relationships between several fields of climatological observables, or between a climatolical obervable at different vertical levels.\n", + "\n", + "First, some theoretical background on *interacting networks* is given and the method of *coupled climate network analysis* is explained. Then, some methods provided by ``pyunicorn`` are illustrated by the example of the Earth's atmosphere’s vertical dynamical structure. An introduction to (single layer) *climate networks* and their application with the ``pyunicorn`` package can be found in the tutorial [Climate Networks](https://github.com/pik-copan/pyunicorn/blob/master/notebooks/tutorial_ClimateNetworks.ipynb). For a detailed discussion and further references, please consult [Donges et al. (2015)](https://aip.scitation.org/doi/10.1063/1.4934554) and [Donges et al. (2011)](https://link.springer.com/article/10.1140/epjb/e2011-10795-8), on which this tutorial is based." ] }, { @@ -29,9 +31,7 @@ "id": "64969606", "metadata": {}, "source": [ - "*Coupled Climate Networks* is a very useful tool for representing and studying the statictical relationship between different climatological variables or between a single variable at different physically separable levels. This can be useful for finding spatial as well as temporal patterns accounting for a large fraction of the fields' variance. The method can also be applied to study the complex interactions between different domains of the Earth system, e.g. the atmosphere, hydrosphere, cryosphere and biosphere, which still remains a great challenge for modern science. The urge to make progress in this field is particularly pressing as substantial and mutually interacting components of the Earth system (tipping elements), may soon pass a bifurcation point (tipping point) due to global climate change.\n", - "\n", - "Mapping the complex interdependency structure of subsystems, components or processes of the Earth system to a network of interacting networks provides a natural, simplified and condensed mathematical representation." + "*Coupled climate networks* are a very useful tool for representing and studying the statistical relationship between different climatological variables, or between a single variable at different physically separable levels. This can be useful for finding spatial as well as temporal patterns that account for a large fraction of the fields' variance. The method can also be applied to study the complex interactions between different domains of the Earth system, e.g., the atmosphere, hydrosphere, cryosphere and biosphere, which still remains a great challenge for modern science. The urge to make progress in this field is particularly pressing, as substantial and mutually interacting components of the Earth system (tipping elements) may soon pass a bifurcation point (tipping point) due to global climate change. Mapping the complex interdependency structure of subsystems, components or processes of the Earth system to a network of interacting networks provides a natural, simplified and condensed mathematical representation." ] }, { @@ -47,9 +47,9 @@ "id": "6fd973d9", "metadata": {}, "source": [ - "The structure of many complex systems can be described as a *network of interacting or interdependent networks*. Notable examples are representations of the mammalian cortex, systems of interacting populations of heterogeneous oscillators or mutually interdependent infrastructure networks. \n", + "The structure of many complex systems can be described as a *network of interacting, or interdependent, networks*. Notable examples are representations of the mammalian cortex, systems of interacting populations of heterogeneous oscillators, or mutually interdependent infrastructure networks. \n", "\n", - "**Pyunicorn** provides the class `core.InteractingNetworks`for constructing and analysing all kinds of interacting networks. *Coupled climate networks* applies *interacting networks* to *climate networks*. The class `climate.CoupledClimateNetworks`of pyunicorn inherits from `core.InteractingNetworks` and `climate.ClimateNetworks`." + "``pyunicorn`` provides the class `core.InteractingNetworks`for constructing and analysing all kinds of interacting networks. *Coupled climate networks* are the application of *interacting networks* to *climate networks*, and hence, the class `climate.CoupledClimateNetworks` inherits from `core.InteractingNetworks` and `climate.ClimateNetworks`." ] }, { @@ -57,10 +57,9 @@ "id": "0eab5909", "metadata": {}, "source": [ - "*Interacting networks* can be represented by decomposing a network $G=(V,E)$ into a collection of *M subnetworks* \n", - "$G_i=(V_i,E_{ii})$. Here, $V_i$ denote the disjunct sets of nodes corresponding to each subnetwork and the internal links \n", - "sets $E_{ii}$ contain information on the connections within a subnetwork such that $\\cup^M_{i=1}V_i=V$.\n", - "Additionally, disjunct sets of cross-links $E_{ij}$ connect nodes in different subnetworks with $\\cup^M_{i,j=1}E_{ij}=E$. \n", + "*Interacting networks* can be represented by decomposing a network $G=(V,E)$ into a collection of $M$ *subnetworks* \n", + "$G_i=(V_i,E_{ii})$. Here, $(V_i)_i$ denote the disjoint sets of nodes corresponding to each subnetwork, such that $\\bigcup^M_{i=1}V_i=V$. The internal link sets $(E_{ii})_i$ contain information on the connections within a subnetwork,\n", + "and disjoint sets of cross-links $E_{ij}\\;(i\\neq j)$ connect nodes in different subnetworks, such that $\\bigcup^M_{i,j=1}E_{ij}=E$. \n", "Alternatively, a network of networks of this type can be represented by a standard adjacency matrix $A$ with with block structure." ] }, @@ -83,9 +82,8 @@ "metadata": {}, "source": [ "In the following, we introduce some local and global measures for interacting networks. \n", - "\n", - "The indices $i,j,k,l$ always denote subnetworks while $v,w,p,q$ designate single vertices and we always assume $v\\in V_i$. The formulae explicitely account\n", - "for the general case $i \\ne j$ but can be, nevertheless, easily modified to suit the special case $i = j$. Furthermore, the term *cross* refers to the interaction between subnetworks $G_i,G_j$, whereas *internal* refers to the structure within a singular subnetwork." + "The indices $i,j,k,l$ always denote subnetworks, while $v,w,p,q$ designate single vertices, and we always assume $v\\in V_i$. The formulae explicitly account\n", + "for the general case $i \\ne j$, but can be nevertheless easily modified to suit the special case $i = j$. Furthermore, the term *cross* refers to the interaction between subnetworks $G_i,G_j$, whereas *internal* refers to the structure within a single subnetwork." ] }, { @@ -96,31 +94,31 @@ "### Local Measures\n", "\n", "The **cross-degree centrality** $k_v^{ij}$ gives the number of neighbours of the vertex $v$ within subnetwork $G_j$,\n", - "$$k_v^{ij}=\\sum_{q\\in V_j}A_{vq},v \\in V_i.$$\n", + "$$k_v^{ij}=\\sum_{q\\in V_j}A_{vq}\\,,\\quad v \\in V_i.$$\n", "\n", "The **cross-closeness centrality** $c^{ij}_v$ measures the topological closeness of $v$ to subnetwork $G_j$ along shortest paths,\n", - "$$ c^{ij}_v = \\frac{N_j}{\\sum_{q\\in V_j}d_{vq}},$$\n", - "where $d_{vq}$ is the shortest path length between vertices $v$ and $q$. \n", + "$$ c^{ij}_v = \\frac{N_j}{\\sum_{q\\in V_j}d_{vq}}\\,,$$\n", + "where $d_{vq}$ is the shortest path length between vertices $v$ and $q$,\n", + "and $N_j$ denotes the number of vertices in the subnetwork $G_j$.\n", "\n", "For any vertex $w \\in V$, the **cross-betweenness centrality** $b^{ij}_w$ indicates its role for mediating interactions between two subnetworks $G_i$ and $G_j$,\n", - "$$ b^{ij}_w= \\sum_{p\\in V_i,q \\in V_j;p,q\\ne w}\\frac{\\sigma_{pq}(w)}{\\sigma_{pq}}= b^{ji}_w,$$\n", - "where $\\sigma_{pq}$ denotes the total number of shortest paths from $p \\in V_i $ to $q \\in V_j$ that include $w$.\n", + "$$ b^{ij}_w= \\sum_{p\\in V_i,\\,q \\in V_j,\\,p,q\\ne w}\\frac{\\sigma_{pq}(w)}{\\sigma_{pq}}= b^{ji}_w\\,,$$\n", + "where $\\sigma_{pq}(w)$ denotes the total number of shortest paths from $p \\in V_i$ to $q \\in V_j$ that include $w$.\n", "\n", "### Global Measures\n", "\n", "The **cross-edge density** $\\rho_{ij}$ measures the density of connections between distinct subnetworks $G_i$ and $G_j$,\n", - "$$ \\rho_{ij}=\\frac{|E_{ij}|}{N_i N_j}= \\rho_{ji},$$\n", - "where $N_i$ denotes the number of vertices in the subnetwork $G_i$.\n", + "$$ \\rho_{ij}=\\frac{|E_{ij}|}{N_i N_j}= \\rho_{ji}\\,.$$\n", "\n", "The **cross-average path length** $\\mathcal{L}_{ij}$ measures the average length of existing shortest paths between two subnetworks $G_i$ and $G_j$,\n", - "$$ \\mathcal{L}_{ij}= \\frac{1}{N_i N_j - M_{ij}}\\sum_{v\\in V_i,q\\in V_j}d_{vq}= \\mathcal{L}_{ji}, $$\n", - "where $M_{ij}$ is the nnumber of pairs ($v\\in V_i$, $q\\in V_j$) which are not mutually reachable.\n", + "$$ \\mathcal{L}_{ij}= \\frac{1}{N_i N_j - M_{ij}}\\sum_{v\\in V_i,\\,q\\in V_j,\\,d_{vq}<\\infty}d_{vq}= \\mathcal{L}_{ji}\\,, $$\n", + "where $M_{ij}$ is the number of pairs $(v,q)\\in V_i\\times V_j$ which are not mutually reachable.\n", "\n", - "The **global cross-clustering coefficient** $\\mathcal{C}_{ij}$ is an estimate of the probability of vertices from subnetwork $G_i$ to have mutually connected neghbors within subnetwork $G_j$,\n", - "$$ \\mathcal{C}_{ij} = \\langle \\mathcal{C}^{ij}_v \\rangle_{v\\in V_i} = \\frac{1}{N_i}\\sum_{v\\in V_i, k_v^j>1}\\frac{\\sum_{p\\ne q \\in V_j}A_{vp}A_{pq}A_{qv}}{\\sum_{p \\ne q \\in V_j}A_{vp}A_{vq}}.$$\n", + "The **global cross-clustering coefficient** $\\mathcal{C}_{ij}$ is an estimate of the probability of vertices from subnetwork $G_i$ to have mutually connected neighbours within subnetwork $G_j$,\n", + "$$ \\mathcal{C}_{ij} = \\langle \\mathcal{C}^{ij}_v \\rangle_{v\\in V_i} = \\frac{1}{N_i}\\sum_{v\\in V_i,\\, k_v^{ij}>1}\\frac{\\sum_{p\\ne q \\in V_j}A_{vp}A_{pq}A_{qv}}{\\sum_{p \\ne q \\in V_j}A_{vp}A_{vq}}\\,.$$\n", "\n", - "The **cross-transitivity** $\\mathcal{T}_{ij}$ is the probability that two vertices in subnetwork $G_j$ are connected if they have a common neighbour in subnetwork $G_i$,\n", - "$$ \\mathcal{T}_{ij}= \\frac{\\sum_{v\\in V_i;p\\ne q \\in V_j}A_{vp}A_{pq}A_{qv}}{\\sum_{v\\in V_i;p\\ne q \\in V_j}A_{vp}A_{vq}}.$$" + "The **cross-transitivity** $\\mathcal{T}_{ij}$ is the conditional probability that two vertices in subnetwork $G_j$ are connected if they have a common neighbour in subnetwork $G_i$,\n", + "$$ \\mathcal{T}_{ij}= \\frac{\\sum_{v\\in V_i,\\,p\\ne q \\in V_j}A_{vp}A_{pq}A_{qv}}{\\sum_{v\\in V_i,\\,p\\ne q \\in V_j}A_{vp}A_{vq}}\\,.$$" ] }, { @@ -128,27 +126,20 @@ "id": "75c19d62", "metadata": {}, "source": [ - "## Application: Analysing the vertical dynamical structure of the Earth’s atmosphere" + "## Application: Vertical Dynamical Structure of the Earth’s Atmosphere" ] }, { + "attachments": {}, "cell_type": "markdown", - "id": "0dec789d", + "id": "9a58a8a0-4c84-4377-bb78-2a54eeb5e47a", "metadata": {}, "source": [ "In the following, coupled climate network analysis is illustrated by the example of the dynamical structure of the Earth's atmosphere. \n", + "In order to treat a climate network as a network of networks, an *ab initio* physical separation of the climatological fields is necessary, i.e., a separation of processes into those responsible for internal coupling within a single field and those mediating interactions between fields.\n", "\n", - "In order to treat a climate network as a network of networks, an ab initio physical separation of the climatological fields is necessary regarding processes responsible for internal coupling within a single field and those mediating interactions between both fields.\n", - "\n", - "For the Earth system, there are distinct physical processes behind vertical and quasi-horizontal atmospheric dynamics: we have a stable isobaric quasi-horizontal stratification, while local heating of the Earth’s surface and atmosphere induces minor disturbances of the system. Therefore, we can treat the considered climatological field variable at different isobaric quasi-horizontal surfaces of the Earth's atmosphere as separated subnetworks of an interconnected network." - ] - }, - { - "cell_type": "markdown", - "id": "54ae354e", - "metadata": {}, - "source": [ - "The small vertical disturbances of the system due to convection processes lead to vertical movement resulting in pressure gradients which are balanced by quasi-horizontal geostrophic winds along isobares." + "For the Earth system, there are distinct physical processes behind *quasi-horizontal* and *vertical* atmospheric dynamics: We have a stable isobaric quasi-horizontal stratification, while local heating of the Earth’s surface and atmosphere induces minor disturbances of the system. Therefore, we can treat the considered climatological field variables at different isobaric quasi-horizontal surfaces as separated subnetworks of an interconnected network.\n", + "The small vertical disturbances of the system due to convection processes lead to vertical movement, resulting in pressure gradients that are balanced by quasi-horizontal geostrophic winds along isobares." ] }, { @@ -156,9 +147,8 @@ "id": "61de5550", "metadata": {}, "source": [ - "We consider the discretised and vertically resolved geopotential height field $Z^i_v(t)$ sampled at predefined points $v$ on isobaric surfaces $i$ as the climatological field variable to construct coupled climate networks as it reflects global weather and climate dynamics to a good approximation: it captures the dynamics of both the geostrophic wind field as well as convection processes.\n", - "\n", - "We specifically focus on the interaction structure between near ground and upper level atmospheric dynamics, which is particularly interesting as a large portion of the solar forcing driving atmospheric dynamics takes place on the Earth’s surface." + "We consider the discretised and vertically resolved geopotential height field $Z^i_v(t)$, sampled at predefined points $v$ on isobaric surfaces $i$, as the climatological field variable to construct coupled climate networks. It reflects global weather and climate dynamics to a good approximation, as it captures the dynamics both of the geostrophic wind field and of convection processes.\n", + "We specifically focus on the interaction structure between near ground and upper level atmospheric dynamics, which is particularly interesting because a large portion of the solar forcing that drives atmospheric dynamics takes place on the Earth’s surface." ] }, { @@ -179,7 +169,8 @@ "id": "668d5926", "metadata": {}, "source": [ - "## Loading the Climate Data" + "## Computing a Coupled Climate Network\n", + "### Loading the Climate Data" ] }, { @@ -187,22 +178,34 @@ "id": "0fe0dac8", "metadata": {}, "source": [ - "For this tutorial, we use Reanalysis 1 data provided by the National Center for Environmental Prediction/ National Center for Atmospheric Research (NCEP/-NCAR). You can download the data set following this [link](https://downloads.psl.noaa.gov//Datasets/ncep.reanalysis/Monthlies/pressure/hgt.mon.mean.nc) and copy it to the directory \"notebooks\" of this script or change the path below. Some information on the data can be found following this [link](https://psl.noaa.gov/data/gridded/data.ncep.reanalysis.html). The Reanalysis 1 data set contains the monthly averaged geographical height potential for 17 isobaric surfaces $P_i$ of the atmosphere on an equally spaced spherical grid with latitude and longitude resolution of 2.5° x 2.5°." + "For this tutorial, we download [Reanalysis 1 data](https://psl.noaa.gov/data/gridded/data.ncep.reanalysis.html) provided by the *National Center for Environmental Prediction / National Center for Atmospheric Research* (NCEP-NCAR). This data set contains the monthly averaged geographical height potential for 17 isobaric surfaces $P_i$ of the atmosphere, on an equally spaced spherical grid with a latitude and longitude resolution of $2.5° \\!\\times\\! 2.5°$." ] }, { "cell_type": "code", "execution_count": 1, - "id": "f197742a", + "id": "d5602280-eeae-4de7-9d9f-20f08471b3e3", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "./data/hgt.mon.mean 100%[===================>] 296.75M 5.21MB/s in 28s \n", + "2024-02-05 03:21:41 URL:https://downloads.psl.noaa.gov/Datasets/ncep.reanalysis/Monthlies/pressure/hgt.mon.mean.nc [311163603/311163603] -> \"./data/hgt.mon.mean.nc\" [1]\n" + ] + } + ], "source": [ - "DATA_FILENAME = \"./hgt.mon.mean.nc\"" + "DATA_NAME = \"hgt.mon.mean.nc\"\n", + "DATA_URL = f\"https://downloads.psl.noaa.gov/Datasets/ncep.reanalysis/Monthlies/pressure/{DATA_NAME}\"\n", + "DATA_FILE = f\"./data/{DATA_NAME}\"\n", + "![ -f {DATA_FILE} ] || wget -O {DATA_FILE} -nv --show-progress \"{DATA_URL}\"" ] }, { "cell_type": "markdown", - "id": "120a2f88", + "id": "0ddc28ac-3014-4295-afd8-f451ff6cd641", "metadata": {}, "source": [ "Now we will start with some imports and some specifications regarding the data set." @@ -213,15 +216,7 @@ "execution_count": 2, "id": "695c5769", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "climate: Package Ngl could not be loaded. Some functionality in class MapPlots might not be available!\n" - ] - } - ], + "outputs": [], "source": [ "import numpy as np\n", "from pyunicorn import climate\n", @@ -231,65 +226,25 @@ { "cell_type": "code", "execution_count": 3, - "id": "2091a999", + "id": "2bd80f13-10bd-4865-8f65-55ec8c2b4f3f", "metadata": {}, "outputs": [], "source": [ - "FILE_TYPE = \"NetCDF\"\n", + "# Indicate data source (optional)\n", + "DATA_SOURCE = \"NCEP-NCAR Reanalysis 1\"\n", "# Type of data file (\"NetCDF\" indicates a NetCDF file with data on a regular\n", "# lat-lon grid, \"iNetCDF\" allows for arbitrary grids - > see documentation).\n", - "# For example, the \"NetCDF\" FILE_TYPE is compatible with data from the IPCC\n", - "# AR4 model ensemble or the reanalysis data provided by NCEP/NCAR." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "d1100a46", - "metadata": {}, - "outputs": [], - "source": [ - "# Indicate data source (optional)\n", - "DATA_SOURCE = \"NCEP-NCAR Reanalysis 1\"" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "a00e52f1", - "metadata": {}, - "outputs": [], - "source": [ + "FILE_TYPE = \"NetCDF\"\n", "# Name of observable in NetCDF file (\"hgt\" indicates the monthly mean of the geopotential height\n", "# in the NCEP/NCAR reanalysis data)\n", - "OBSERVABLE_NAME = \"hgt\"" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "016b0415", - "metadata": {}, - "outputs": [], - "source": [ - "# Select a subset in time and space from the data (e.g., a particular region\n", - "# or a particular time window, or both)\n", - "# If the boundaries are equal, the data's full range is selected.\n", - "# for this tutorial, we choose a window for lattitude and longitude corresponding to North America\n", + "OBSERVABLE_NAME = \"hgt\"\n", + "# Select a region in time and space from the data.\n", + "# If the boundaries are equal, the data's full range is selected.\n", + "# For this tutorial, we choose a window for latitude and longitude corresponding to North America.\n", "WINDOW = {\"time_min\": 0., \"time_max\": 0., \"lat_min\": 45, \"lon_min\": 80,\n", - " \"lat_max\": 60, \"lon_max\": 120} " - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "f0233e5a", - "metadata": {}, - "outputs": [], - "source": [ + " \"lat_max\": 60, \"lon_max\": 120} \n", "# Indicate the length of the annual cycle in the data (e.g., 12 for monthly\n", - "# data). This is used for calculating climatological anomaly values\n", - "# correctly.\n", + "# data). This is used for calculating climatological anomaly values.\n", "TIME_CYCLE = 12" ] }, @@ -298,35 +253,13 @@ "id": "67822736", "metadata": {}, "source": [ - "We will generate a separate `pyunicorn.climate.ClimateData` instance from our data file for each of the 17 vertical levels in order to construct a coupled climate network for each vertical level coupled to the near ground level in the following steps. " + "We will first generate a separate `pyunicorn.climate.ClimateData` instance from our data file for each of the 17 vertical levels, which will then be coupled to the near ground level in the following steps. " ] }, { "cell_type": "code", - "execution_count": 8, - "id": "43c938d9", - "metadata": {}, - "outputs": [], - "source": [ - "# Vertical_level indicates the vertical level to be extracted from the\n", - "# data file. Is ignored for horizontal data sets. If None, the first\n", - "# level in the data file is chosen.\n", - "# in the following, we will loop over all 17 levels in order to generate a ClimateData object for each level.\n", - "VERTICAL_LEVELS = 17 # number of total vertical levels in the data file" - ] - }, - { - "cell_type": "markdown", - "id": "76f6ef6a", - "metadata": {}, - "source": [ - "Now we create an numpy array containing 17 Climate Data objects from our data file (one Climate Data object for each vertical level)." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "82ac45fb", + "execution_count": 4, + "id": "33aead33-118a-4e55-a96a-e69c5f3036ba", "metadata": {}, "outputs": [ { @@ -354,11 +287,16 @@ } ], "source": [ - "# loop over all levels to create a climate data object for each level, needed for constructing coupled climate networks\n", + "# number of total vertical levels in the data file\n", + "VERTICAL_LEVELS = 17\n", + "# loop over all levels to create a `ClimateData` object for each level\n", "data = np.array([climate.ClimateData.Load(\n", - " file_name=DATA_FILENAME, observable_name=OBSERVABLE_NAME,\n", - " data_source=DATA_SOURCE, file_type=FILE_TYPE, vertical_level = l,\n", - " window=WINDOW, time_cycle=TIME_CYCLE) for l in range(VERTICAL_LEVELS)])" + " file_name=DATA_FILE, observable_name=OBSERVABLE_NAME,\n", + " data_source=DATA_SOURCE, file_type=FILE_TYPE,\n", + " window=WINDOW, time_cycle=TIME_CYCLE,\n", + " # The `vertical_level` argument indicates the vertical level to be extracted from the data file,\n", + " # and is ignored for horizontal data sets. If `None`, the first level in the data file is chosen.\n", + " vertical_level=l) for l in range(VERTICAL_LEVELS)])" ] }, { @@ -366,12 +304,12 @@ "id": "a7b51a1a", "metadata": {}, "source": [ - "One can use the print function on a Climate Data object in order to show some information about the data." + "One can use the `print()` function on a `ClimateData` object in order to show some information about the data." ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 5, "id": "0afb1744", "metadata": {}, "outputs": [ @@ -379,7 +317,6 @@ "name": "stdout", "output_type": "stream", "text": [ - "File format: NETCDF4_CLASSIC\n", "Global attributes:\n", "description: Data from NCEP initialized reanalysis (4x/day). These are interpolated to pressure surfaces from model (sigma) surfaces.\n", "platform: Model\n", @@ -397,21 +334,19 @@ "level (17)\n", "lat (73)\n", "lon (144)\n", - "time (905)\n", - "hgt (905)\n", + "time (913)\n", + "hgt (913)\n", "ClimateData:\n", - "Data: 119 grid points, 107695 measurements.\n", + "Data: 119 grid points, 108647 measurements.\n", "Geographical boundaries:\n", " time lat lon\n", " min 1297320.0 45.00 80.00\n", - " max 1957656.0 60.00 120.00\n" + " max 1963536.0 60.00 120.00\n" ] } ], "source": [ - "# Print some information on the data set\n", - "data_level0 = data[0]\n", - "print(data_level0)" + "print(data[0])" ] }, { @@ -419,7 +354,7 @@ "id": "9eea2cec", "metadata": {}, "source": [ - "## Network construction" + "### Constructing the Network" ] }, { @@ -427,7 +362,7 @@ "id": "fb13be4b", "metadata": {}, "source": [ - "The `pyunicorn.climate.CoupledClimateNetwork` class provides the functionality to generate a complex network from the matrix of a similarity measure of time series from two different observables or one observable at two different vertical levels. The idea of coupled climate networks is based on the concept of coupled patterns, for a review refer to [Bretherton1992](https://journals.ametsoc.org/view/journals/clim/5/6/1520-0442_1992_005_0541_aiomff_2_0_co_2.xml). The two observables (layers) need to have the same time grid (temporal sampling points). Some information on the construction of a Climate Network based on different similarity measures is provided in the pyunicorn tutorial on [Climate Networks](https://github.com/pik-copan/pyunicorn/blob/master/notebooks/tutorial_ClimateNetworks.ipynb)." + "The `pyunicorn.climate.CoupledClimateNetwork` class provides the functionality to generate a complex network from a similarity measure matrix of two time series, e.g., arising from two different observables or from one observable at two vertical levels. The idea of coupled climate networks is based on the concept of coupled patterns, for a review refer to [Bretherton et al. (1992)](https://journals.ametsoc.org/view/journals/clim/5/6/1520-0442_1992_005_0541_aiomff_2_0_co_2.xml). The two observables (layers) need to have the same time grid (temporal sampling points). More information on the construction of a `ClimateNetwork` based on various similarity measures is provided in the tutorial on [Climate Networks](https://github.com/pik-copan/pyunicorn/blob/master/examples/tutorials/ClimateNetworks.ipynb)." ] }, { @@ -435,25 +370,16 @@ "id": "e5e230be", "metadata": {}, "source": [ - "For our example, we contruct 17 coupled climate networks (coupling the lowest level with each other level) from the data based on Pearson correlation without lag and with a fixed threshold. For the construction of a coupled climate network, one needs to set either the threshold $\\beta$ or the link denisty. In this example, we set the threshold $\\beta = 0.5$." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "68fdaf51", - "metadata": {}, - "outputs": [], - "source": [ - "# For setting fixed threshold\n", - "THRESHOLD = 0.5" + "For our example, we construct 17 coupled climate networks from the data by coupling the lowest level with each other level, based on Pearson correlation without lag and with a fixed threshold. For the construction of a coupled climate network, one needs to set either the threshold $\\beta$ or the link denisty. In this example, we set the threshold $\\beta = 0.5$." ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 6, "id": "8872d035", - "metadata": {}, + "metadata": { + "scrolled": true + }, "outputs": [ { "name": "stdout", @@ -526,16 +452,14 @@ "Setting area weights according to type surface ...\n", "Calculating all shortest path lengths...\n", "Calculating daily (monthly) anomaly values...\n", - "Calculating correlation matrix at zero lag from anomaly values...\n", - "Extracting network adjacency matrix by thresholding...\n", - "Setting area weights according to type surface ...\n" + "Calculating correlation matrix at zero lag from anomaly values...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\hotz\\AppData\\Roaming\\Python\\Python39\\site-packages\\pyunicorn\\core\\interacting_networks.py:965: RuntimeWarning: invalid value encountered in scalar divide\n", + "/home/stw/code/pik/pyunicorn/src/pyunicorn/core/interacting_networks.py:962: RuntimeWarning: invalid value encountered in scalar divide\n", " average_path_length = path_lengths.sum() / norm\n" ] }, @@ -543,6 +467,8 @@ "name": "stdout", "output_type": "stream", "text": [ + "Extracting network adjacency matrix by thresholding...\n", + "Setting area weights according to type surface ...\n", "Setting area weights according to type surface ...\n", "Calculating all shortest path lengths...\n", "Calculating daily (monthly) anomaly values...\n", @@ -579,32 +505,31 @@ } ], "source": [ - "# generate a coupled climate network for each level and the lowest level and calculate some cross network measures.\n", + "# for setting a fixed threshold\n", + "THRESHOLD = 0.5\n", "\n", "cross_link_density = []\n", "cross_average_path_length = []\n", "cross_global_clustering = []\n", "cross_transitivity = []\n", - "\n", "cross_degree = []\n", "cross_closeness = []\n", "cross_betweenness = []\n", "\n", - "for l in range(VERTICAL_LEVELS): # loop over all vertical levels\n", - " \n", + "for l in range(VERTICAL_LEVELS):\n", " # generate a coupled climate network between the ground level and the level l\n", - " coupled_network = climate.CoupledTsonisClimateNetwork(data[0], data[l], threshold = THRESHOLD)\n", - " \n", + " coupled_network = climate.CoupledTsonisClimateNetwork(data[0], data[l], threshold=THRESHOLD)\n", + "\n", " # calculate global measures\n", - " cross_link_density.append(coupled_network.cross_link_density()) # 1 output\n", - " cross_average_path_length.append(coupled_network.cross_average_path_length()) # 1 output\n", - " cross_global_clustering.append(coupled_network.cross_global_clustering()) # 2 outputs\n", - " cross_transitivity.append(coupled_network.cross_transitivity()) # 2 outputs\n", - " \n", + " cross_link_density.append(coupled_network.cross_link_density())\n", + " cross_average_path_length.append(coupled_network.cross_average_path_length())\n", + " cross_global_clustering.append(coupled_network.cross_global_clustering())\n", + " cross_transitivity.append(coupled_network.cross_transitivity())\n", + "\n", " # calculate local measures\n", - " cross_degree.append(coupled_network.cross_degree()) # pointing upwards and pointing downwards\n", - " cross_closeness.append(coupled_network.cross_closeness()) # pointing upwards, pointing downwards\n", - " cross_betweenness.append(coupled_network.cross_betweenness()) # near ground and upper level component" + " cross_degree.append(coupled_network.cross_degree())\n", + " cross_closeness.append(coupled_network.cross_closeness())\n", + " cross_betweenness.append(coupled_network.cross_betweenness())" ] }, { @@ -612,7 +537,8 @@ "id": "583b18dd", "metadata": {}, "source": [ - "## Plotting some global measures for the coupled networks" + "## Plotting some Coupled Network Measures\n", + "### Global Measures" ] }, { @@ -620,226 +546,190 @@ "id": "3b27db00", "metadata": {}, "source": [ - "Now we plot the global meaures that we calculated for the 17 coupled climate networks in dependence of the average geopotential height of each level. Therefore, we first calculate the average geopotential height for each vertical level in km." + "We first determine the average geopotential height for each vertical level (in *km*),\n", + "which we will use as an independent variable to plot the global measures that we calculated for the 17 coupled climate networks." ] }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 7, "id": "c1ead3e6", "metadata": {}, "outputs": [], "source": [ - "# read out the observable hgt (geopotentential height) and averaging it for each level\n", - "hgt_averaged = []\n", - "for l in range (VERTICAL_LEVELS):\n", - " hgt_averaged.append(np.round(data[l].observable().flatten().mean()/1000,1))" + "# read out the observable hgt (geopotentential height) and average it for each level\n", + "hgt_averaged = np.array([\n", + " np.round(data[l].observable().flatten().mean() / 1000, 1)\n", + " for l in range(VERTICAL_LEVELS)])" ] }, { - "cell_type": "markdown", - "id": "cfea75df", + "cell_type": "code", + "execution_count": 8, + "id": "6cd75bf5-8c14-4705-920e-8adcbfaeee15", "metadata": {}, + "outputs": [], "source": [ - "Cross-link density $ \\rho_{ij}=\\rho_{ji}$ and cross-average path length $ \\mathcal{L}_{ij} =\\mathcal{L}_{ji}$ are symmertrical, but global cross-clustering coefficient $\\mathcal{C}_{ij} \\neq \\mathcal{C}_{ji} $ and cross transitivity $\\mathcal{T}_{ij} \\neq \\mathcal{T}_{ij}$ are not." + "def plot_global_coupling(\n", + " measure: np.ndarray, title: str, xlabel: str, xindex: str,\n", + " set_ylabel=True, ax=None):\n", + " \"\"\"\n", + " Plot the geopotential height over a coupling network measure.\n", + " \"\"\"\n", + " ax_ = plt if ax is None else ax\n", + " ax_p = lambda p: getattr(*((plt, p) if ax is None else (ax, f\"set_{p}\")))\n", + " ax_.plot(measure, hgt_averaged, 'o', color='blue')\n", + " ax_p(\"xlabel\")(r\"${}\".format(xlabel) + xindex + r\"$\")\n", + " if set_ylabel:\n", + " ax_p(\"ylabel\")(r\"$Z_{\\,l}$ (km)\")\n", + " ax_p(\"title\")(title)" ] }, { + "attachments": {}, "cell_type": "markdown", - "id": "05c2ddbb", + "id": "c8006820-d57b-41a2-ace7-f5355836ef5f", "metadata": {}, "source": [ - "### Cross link density" + "Note that the cross-link density and cross-average path length are symmetrical ($\\rho_{1l}=\\rho_{l1}$, $\\mathcal{L}_{1l} = \\mathcal{L}_{l1}$), but the global cross-clustering coefficient and cross-transitivity are not ($\\mathcal{C}_{1l} \\neq \\mathcal{C}_{l1}$, $\\mathcal{T}_{1l} \\neq \\mathcal{T}_{l1}$). When computing asymmetric measures for two coupled climate subnetworks $G_i$ and $G_j$, the methods in `climate.CoupledClimateNetwork` return tuples such as $(\\mathcal{C}_{ij},\\mathcal{C}_{ji})$ or $(\\mathcal{T}_{ij},\\mathcal{T}_{ji})$." ] }, { "cell_type": "code", - "execution_count": 15, - "id": "cde73cbf", + "execution_count": 9, + "id": "67126dbc-54e4-4b20-a227-9569b1c2d609", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "# plot the geopotential height over the cross link density (rho_1i = rho_i1)\n", - "plt.plot(cross_link_density, hgt_averaged, 'o', color='blue'); \n", - "plt.xlabel(r\"$\\rho_{1i}$\");\n", - "plt.ylabel(r\"$Z_i$(km)\");\n", - "plt.title('cross link density');" + "def plot_global_symmetric_coupling(measure, title, xlabel):\n", + " plot_global_coupling(measure, title, xlabel, r\"_{\\,1\\,l}\")\n", + "\n", + "def plot_global_asymmetric_coupling(measure, title, xlabel):\n", + " fig, axes = plt.subplots(1, 2, layout=\"constrained\")\n", + " fig.suptitle(title)\n", + " # plot both vertical directions of coupling\n", + " for vert in range(2):\n", + " plot_global_coupling(\n", + " measure[:, vert],\n", + " f\"pointing {['up', 'down'][vert]}wards\", xlabel,\n", + " [r\"_{\\,1\\,l}\", r\"_{\\,l\\,1}\"][vert],\n", + " set_ylabel=(vert == 0), ax=axes[vert])" ] }, { "cell_type": "markdown", - "id": "a20a0dc7", + "id": "05c2ddbb", "metadata": {}, "source": [ - "### Cross average path length" + "#### Cross-Link Density" ] }, { "cell_type": "code", - "execution_count": 16, - "id": "c754459b", + "execution_count": 10, + "id": "2a017cc2-9fee-4447-8cd6-2cd055f9bad2", "metadata": {}, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ - "# plot the geopotential height over the cross average path length (L_1i = L_i1)\n", - "plt.plot(cross_average_path_length, hgt_averaged, 'o', color='blue'); \n", - "plt.xlabel(r\"$\\mathcal{L}_{1i}$\");\n", - "plt.ylabel(r\"$Z_i$(km)\");\n", - "plt.title('cross average path length');" + "plot_global_symmetric_coupling(cross_link_density, \"cross-link density\", r\"\\rho\")" ] }, { "cell_type": "markdown", - "id": "e18b3e2b", - "metadata": {}, - "source": [ - "### Global cross clustering coefficient\n", - "\n", - "The global cross clustering coefficient $\\mathcal{C}_{ij}$ gives the average probability of vertices from subnetwork $G_i$ to have mutually connected neghbors within subnetwork $G_j$. In general, it is not symmetric. The method `climate.CoupledClimateNetwork.cross_global_clustering()` of two coupled climate subnetworks $G_i$ and $G_j$ returns the tuple $(\\mathcal{C}_{ij},\\mathcal{C}_{ji})$." - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "525617d2", + "id": "a20a0dc7", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], "source": [ - "# plot the geopotential height over the cross global clustering pointing upwards C_1i\n", - "plt.plot(np.array(cross_global_clustering)[:,0], hgt_averaged, 'o', color='blue'); # C_1i\n", - "plt.xlabel(r\"$\\mathcal{C}_{1i}$\");\n", - "plt.ylabel(r\"$Z_i$(km)\");\n", - "plt.title('cross global clustering pointing upwards');" + "#### Cross-Average Path Length" ] }, { "cell_type": "code", - "execution_count": 18, - "id": "d37f9aad", + "execution_count": 11, + "id": "4ea4c9b0-f483-4646-b61a-52ce1ddd8ba4", "metadata": {}, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ - "# plot the geopotential height over the cross global clustering pointing downwards C_i1\n", - "plt.plot(np.array(cross_global_clustering)[:,1], hgt_averaged, 'o', color='blue'); \n", - "plt.xlabel(r\"$\\mathcal{C}_{i1}$\");\n", - "plt.ylabel(r\"$Z_i$(km)\");\n", - "plt.title('cross global clustering pointing downwards');" + "plot_global_symmetric_coupling(cross_average_path_length, \"cross-average path length\", r\"\\mathcal{L}\")" ] }, { "cell_type": "markdown", - "id": "d94df103", + "id": "f87b8bdf-6188-4896-b258-d08409b209c8", "metadata": {}, "source": [ - "### Cross transitivity\n", - "\n", - "The global cross transitivity $\\mathcal{T}_{ij}$ gives the probability that two vertices in subnetwork $G_j$ are connected if they have a common neighbour in subnetwork $G_i$ . In general, it is not symmetric. The method `climate.CoupledClimateNetwork.cross_global_transitivity()` of two coupled climate subnetworks $G_i$ and $G_j$ returns the tuple $(\\mathcal{T}_{ij},\\mathcal{T}_{ji})$." + "#### Global Cross-Clustering Coefficient" ] }, { "cell_type": "code", - "execution_count": 19, - "id": "506b3642", + "execution_count": 12, + "id": "24355550-7635-4f2f-a301-804369555685", "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYIAAAEaCAYAAAAcz1CnAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAAYCElEQVR4nO3de7CkdX3n8fcHBBUhAjIQRGDwEhTdgOZ42fUS4i3omkV3dSOOyqrruFmxtOK6KqQMWxa7pMrLxhi1RqSCcQSJWsoao1JGY0gEPWNGLssaCM4AinAAEREvXL77x/OMHobTM91M99On+3m/qk519+95uvv7zJl6Puf3XH6/VBWSpP7abdoFSJKmyyCQpJ4zCCSp5wwCSeo5g0CSes4gkKSeMwikVSbJyUnO2MHydUm+NORnXZbk2HHVpvkU7yOQ7i3JV4GPVdXAHXJHdawFvgvsUVV37uJnnQo8sqpePobSNEfsEWjmJLmfNUjjYxBo1UhyaJJPJ1lKclOS97ft/ynJPyR5b5KbgVOTPDjJR9t1tyb5oyS7tes/MsnfJflRkhuTfKJtT/sZN7TLLk7yuBXqOA14OvD+JLctq6OSvD7JFcAVbdufJrkmya1JNiV5+rLPOTXJuW2dP24P0ywsW/7WJN9rl30nybOWve9j7Wpfax9vaWv51+2/xwXtuh9K8q7t6v9skj9sn29J8uwkxwEnA7/ffs63k7wkyabt3vvmJJ+5D78+zTCDQKtCkt2BzwFbgbXAIcA5y1Z5MnAVcCBwGvBnwIOBhwO/DbwSeFW77juBLwH7AQ9r1wV4LvAM4DeAfYHfB27avpaqOgX4e+Ckqtq7qk5atviFbS1Hta+/CRwD7A98HPirJA9Ytv6/a7djX+A8YFuoHAmcBDyxqvYBfhfYssI/zTPax33bWr6+3fKP0+zc037ufu12Lv+3o6q+APxP4BPt5xzd1nNEkscsW/XlwF+uUIfmmEGg1eJJwEOBt1TVT6rqZ1V1wbLl36+qP2uPk/+CZif+9qr6cVVtAd4NvKJd9w7gcOCh233OHcA+wKNpzo9dXlXXjVjn/6qqm6vqpwBV9bGquqmq7qyqdwP3B45ctv4FVfX5qrqLZgd7dNt+V7vuUUn2qKotVfUvI9YCTWAVTQ8G4MXA16vq+zt7Y1X9HPgEzc6fJI+lCeHP3Yc6NMMMAq0WhwJbd3BC9Jplzw8A9qTpPWyzlaYXAfDfgQDfaA/HvBqgqv6W5i/yPweuT7Ihya+NWOfyOrYdSrm8PdR0C00v5YBlq/xg2fPbgQckuV9VXQm8CTgVuCHJOUkeOmItVHO1xznACW3Ty4CNI3zEWcDL2h7FK4Bz24BQjxgEWi2uAQ7bwUnY5Ze33civ/urf5jDgewBV9YOqem1VPRR4HfCBJI9sl72vqn4LeCzNIaK3DPF9K7a35wPeCvxHYL+q2hf4EU0I7VRVfbyqntZuRwF/MkIdy50NvDjJ4TSHrT61s9qX1XAhTQ/r6TQh4mGhHjIItFp8A7gOOD3Jg5I8IMlTV1qxPcxyLnBakn3aHeAfAh8DaE+CPqxd/Yc0O8C7kjwxyZOT7AH8BPgZzSGalVxPc/5hR/YB7gSWgPsleQcwVA8jyZFJnpnk/m0dPx1QyxJw945qqap/atc7A/hiVd0yYNXrgbXbTqov81GantKd2x2OU08YBFoV2p377wGPBK4GrqU5DzDIG2h25lcBF9CcND2zXfZE4KIkt9GcEH1jVX2XZif9YZpw2EpzovhdrOxPaf7K/mGS9w1Y54vA3wD/3H7ez9ju0NEO3B84naZ38wOak+Anb79SVd1Oc3L8H5LckuQpAz7vbODZNP8Og/xV+3hTkm8ta/9L4HHYG+gtbyiTei7JA4EbgCdU1RXTrkfds0cg6Q+AbxoC/eXdkVKPJdlCc3L7hdOtRNPkoSFJ6jkPDUlSzxkEktRzM3mO4IADDqi1a9dOuwxJmhmbNm26sarWrLRsJoNg7dq1LC4uTrsMSZoZSbYOWuahIUnqOYNAknrOIJCknjMIJKnnehMEGzfC2rWw227N48ZRRmyXpDk2k1cNjWrjRli/Hm6/vXm9dWvzGmDduunVJUmrQS96BKec8qsQ2Ob225t2Seq7XgTB1VeP1i5JfdKLIDjssNHaJalPehEEp50Ge+11z7a99mraJanvOguCdg7abyT5dpLLkvyPtn3/JOcnuaJ93G/c371uHWzYAIcfDknzuGGDJ4olCTqcjyBJgAdV1W3t5OEXAG8E/j1wc1WdnuRtwH5V9dYdfdbCwkI51pAkDS/JpqpaWGlZZz2CatzWvtyj/SngeOCstv0snClJkjrV6TmCJLsn2UwzUfb5VXURcFBVXQfQPh7YZU2S1HedBkFV3VVVxwAPA56U5HHDvjfJ+iSLSRaXlpYmVqMk9c1UrhqqqluArwLHAdcnORigfbxhwHs2VNVCVS2sWbPi3AqSpPugy6uG1iTZt33+QODZwP8DzgNObFc7EfhsVzVJkroda+hg4Kwku9ME0LlV9bkkXwfOTfIa4GrgJR3WJEm911kQVNXFwONXaL8JeFZXdUiS7qkXdxZLkgYzCCSp5wwCSeo5g0CSes4gkKSeMwgkqecMAknqOYNAknrOIJCknjMIJKnnDAJJ6jmDQJJ6ziCQpJ4zCCSp5wwCSeq53gTBxo2wdi3stlvzuHHjtCuSpNWhyxnKpmbjRli/Hm6/vXm9dWvzGmDduunVJUmrQS96BKec8qsQ2Ob225t2Seq7XgTB1VeP1i5JfdKLIDjssNHaJalPehEEp50Ge+11z7a99mraJanvehEE69bBhg1w+OGQNI8bNniiWJKgJ1cNQbPTd8cvSffWWY8gyaFJvpLk8iSXJXlj235qku8l2dz+PL+rmiRJ3fYI7gTeXFXfSrIPsCnJ+e2y91bVuzqsRZLU6iwIquo64Lr2+Y+TXA4c0tX3S5JWNpWTxUnWAo8HLmqbTkpycZIzk+w3jZokqa86D4IkewOfAt5UVbcCHwQeARxD02N494D3rU+ymGRxaWmpq3Ilae51GgRJ9qAJgY1V9WmAqrq+qu6qqruBDwNPWum9VbWhqhaqamHNmjXdFS1Jc67Lq4YCfAS4vKres6z94GWrvQi4tKuaJEndXjX0VOAVwCVJNrdtJwMnJDkGKGAL8LoOa5Kk3uvyqqELgKyw6PNd1SBJurdeDDEBTkwjSYP0YogJJ6aRpMF60SNwYhpJGqwXQeDENJI0WC+CwIlpJGmwXgSBE9NI0mC9CAInppGkwXpx1RA4MY0kDdKLHoEkaTCDQJJ6ziCQpJ4zCCSp5wwCSeo5g0CSes4gkKSeMwgkqecMAknqOYNAknrOIJCknjMIJKnnDAJJ6rneBIGT10vSynoxDLWT10vSYJ31CJIcmuQrSS5PclmSN7bt+yc5P8kV7eN+4/5uJ6+XpMG6PDR0J/DmqnoM8BTg9UmOAt4GfLmqHgV8uX09Vk5eL0mDdRYEVXVdVX2rff5j4HLgEOB44Kx2tbOAF477u528XpIGm8rJ4iRrgccDFwEHVdV10IQFcOC4v8/J6yVpsM6DIMnewKeAN1XVrSO8b32SxSSLS0tLI32nk9dL0mCpqu6+LNkD+Bzwxap6T9v2HeDYqrouycHAV6vqyB19zsLCQi0uLk6+YEmaE0k2VdXCSsu6vGoowEeAy7eFQOs84MT2+YnAZ7uqSZLU7X0ETwVeAVySZHPbdjJwOnBuktcAVwMv6bAmSeq9zoKgqi4AMmDxs7qqQ5J0T70ZYkKStDKDQJJ6ziCQpJ7rTRA4+qgkrczRR72pTFLP9aJH4OijkjRYL4LA0UclabBeBIGjj0rSYL0IAkcflaTBRg6CJA9KsvskipkURx+VpMF2etVQkt2AlwLrgCcCPwfun2QJ+DywoaqumGiVY7BunTt+SVrJMD2CrwCPAN4O/HpVHVpVBwJPBy4ETk/y8gnWKEmaoGHuI3h2Vd2xfWNV3Uwzwcyn2nkGJEkzaKdBsC0EkiwApwCHt+9Ls7h+c6WgkCTNhlHuLN4IvAW4BLh7MuVIkro2ShAsVdV5E6tEkjQVowTBHyc5A/gyzZVDAFTVp8delSSpM6PcR/Aq4BjgOOD32p8XTKCmiXD0UUla2Sg9gqOr6l9NrJIJcvRRSRpslB7BhUmOmlglE+Too5I02Cg9gqcBJyb5Ls05gl9ePjqRysbI0UclabBRguC4iVUxYYcd1hwOWqldkvpulENDB1TV1uU/wKrvDYCjj0rSjowSBB9O8suTxUlOAP5o2DcnOTPJDUkuXdZ2apLvJdnc/jx/hHqG5uijkjRYqmq4FZOHA5+kGYX0acArgRdU1Y+GfP8zgNuAj1bV49q2U4HbqupdoxS9sLBQi4uLo7xFknotyaaqWlhp2dDnCKrqqiQvBT4DXAM8t6p+OsL7v5Zk7bDrS5K6Mcx8BJcAy7sN+wO7AxclYQxXDZ2U5JXAIvDmqvrhLn6eJGkEw/QIJnn38AeBd9IEzTuBdwOvXmnFJOuB9QCHebmPJI3NMEFwde3kREKS7GydlVTV9cs+48PA53aw7gZgAzTnCEb9LknSyoaaoSzJG5Lc48/wJHsmeWaSs4AT78uXJzl42csXAZcOWleSNBnD9AiOozlcc3aSI4BbgAfShMiXgPdW1eadfUiSs4FjgQOSXAv8MXBskmNoDg1tAV436gZIknbNMDOU/Qz4APCBdkrKA4CfVtUto3xRVZ2wQvNHRvkMSdL4jTLEBFV1R5I/AHZPshnYXFVXTKQySVInRgoCgKp6R5KDgMcD/yHJI6rqteMvTZLUhZ2eLE5yY5J/u7ytqq6vqi9U1emzEgJOTCNJKxvmqqE7gA8m+c/bL2hPAK962yam2boVqn41MY1hIEnDBcF1wDOA/9aODbTco8de0QQ4MY0kDTbU6KNVtQV4KvDcJGck2fa+mbixy4lpJGmwYYIgAFV1E/BM4EDgvCR7bVu22g0akcKRKiRpuCD4p21P2nsKXgh8D/gq8GsTqWrMnJhGkgbbaRBU1au3e313Vb0O+GvgiEkVNk5OTCNJgw09Mc2Kb04Ob6es7JQT00jSaHY0Mc0oU1XeyzRCQJI0XrsUBJKk2WcQSFLPGQSS1HO9CQLHGpKklY08+ugs2jbW0LZhJraNNQReQipJvegRONaQJA3WiyBwrCFJGqwXQeBYQ5I0WC+CwLGGJGmwXgSBYw1J0mC9uGoImp2+O35Jurde9AgkSYN1FgRJzkxyQ5JLl7Xtn+T8JFe0j/t1VY8kjcM83KzaZY/gL4Djtmt7G/DlqnoU8OX2tSTNhG03q27dClW/ull11sKgsyCoqq8BN2/XfDxwVvv8LJrZzyRpJszLzarTPkdwUFVdB9A+HjjleiRpaPNys+q0g2BoSdYnWUyyuLS0NO1yJGlubladdhBcn+RggPbxhkErVtWGqlqoqoU1a9Z0VqAkDTIvN6tOOwjOA05sn58IfHaKtUjSSOblZtUuLx89G/g6cGSSa5O8BjgdeE6SK4DntK8laWasWwdbtsDddzc9gVNOmb1LSTu7s7iqThiw6Fld1SBJkzLL855M+9CQJM2FWb6U1CCQpDGY5UtJDQJJGoNZvpTUIJCkMZjlS0kNAkkag1m+lLQ38xFI0qTN6rwn9ggkqecMAknqOYNAknrOIJCknjMIJGkE8zA15fa8akiShjTL4wntiD0CSRrSLI8ntCMGgSQNaZbHE9oRg0CShjTL4wntiEEgSUOa5fGEdsQgkKQhzfJ4QjviVUOSNIJZHU9oR+wRSFLPGQSS1HMGgST1nEEgSavcpIe18GSxJK1iXQxrsSp6BEm2JLkkyeYki9OuR5JWiy6GtVhNPYLfqaobp12EJK0mXQxrsSp6BJKklXUxrMVqCYICvpRkU5L10y5GklaLLoa1WC1B8NSqegLwPOD1SZ6x/QpJ1idZTLK4tLTUfYWSNAVdDGuRqhrfp41BklOB26rqXYPWWVhYqMVFzylL0rCSbKqqhZWWTb1HkORBSfbZ9hx4LnDpdKuSpP6YehAABwEXJPk28A3gr6vqC1OuSZKGNuvzGE/98tGqugo4etp1SNJ9MQ/zGK+GHoEkzax5mMfYIJCkXTAP8xgbBJK0C+ZhHmODQJJ2wTzMY2wQSNIumId5jA0CSb0xqcs8162DLVvg7rubx1kKAVgFl49KUhfm4TLPSbFHIKkX5uEyz0kxCCT1wjxc5jkpBoGkXpiHyzwnxSCQ1AvzcJnnpBgEknphHi7znBSvGpLUG+vWueNfiT0CSeo5g0BSL8z6nAGT5KEhSXPPm8l2zB6BpLnnzWQ7ZhBImnveTLZjBoGkuefNZDtmEEiaeyvdTAZw222eNAaDQFIPbLuZ7CEPuWf7TTc1J437HgYGgaReWLcO9t773u2eNDYIJPWIJ41XtiqCIMlxSb6T5Mokb5t2PZLm0/77r9ze95PGUw+CJLsDfw48DzgKOCHJUdOtStK82bgRbr313u177ukIpFMPAuBJwJVVdVVV/QI4Bzh+yjVJmjOnnAJ33HHv9n328e7i1RAEhwDXLHt9bdsmSWMz6DzAzTd3W8dqtBqCICu01b1WStYnWUyyuLS01EFZkuaJN5UNthqC4Frg0GWvHwZ8f/uVqmpDVS1U1cKaNWs6K07SfHCGssFWQxB8E3hUkiOS7Am8FDhvyjVJmjPOUDbY1Iehrqo7k5wEfBHYHTizqi6bclmS5pAzlK1s6kEAUFWfBz4/7TokqY9Ww6EhSdIUGQSS1HMGgST1nEEgST2Xqnvdu7XqJVkCtt7Htx8A3DjGcmaB2zz/+ra94DaP6vCqWvEmrJkMgl2RZLGqFqZdR5fc5vnXt+0Ft3mcPDQkST1nEEhSz/UxCDZMu4ApcJvnX9+2F9zmsendOQJJ0j31sUcgSVrGIJCknpvLIEhyXJLvJLkyydtWWJ4k72uXX5zkCdOoc5yG2OZ17bZenOQfkxw9jTrHaWfbvGy9Jya5K8mLu6xvEobZ5iTHJtmc5LIkf9d1jeM2xP/tByf5P0m+3W7zq6ZR57gkOTPJDUkuHbB8/PuvqpqrH5qhrP8FeDiwJ/Bt4Kjt1nk+8Dc0s6M9Bbho2nV3sM3/Btivff68PmzzsvX+lmZ02xdPu+4Ofs/7Av8XOKx9feC06+5gm08G/qR9vga4Gdhz2rXvwjY/A3gCcOmA5WPff81jj+BJwJVVdVVV/QI4Bzh+u3WOBz5ajQuBfZMc3HWhY7TTba6qf6yqH7YvL6SZCW6WDfN7BngD8Cnghi6Lm5BhtvllwKer6mqAqpr17R5mmwvYJ0mAvWmC4M5uyxyfqvoazTYMMvb91zwGwSHANcteX9u2jbrOLBl1e15D8xfFLNvpNic5BHgR8KEO65qkYX7PvwHsl+SrSTYleWVn1U3GMNv8fuAxNFPcXgK8saru7qa8qRj7/mtVTEwzZlmhbftrZIdZZ5YMvT1JfocmCJ420Yomb5ht/t/AW6vqruaPxZk3zDbfD/gt4FnAA4GvJ7mwqv550sVNyDDb/LvAZuCZwCOA85P8fVXdOuHapmXs+695DIJrgUOXvX4YzV8Ko64zS4baniS/CZwBPK+qbuqotkkZZpsXgHPaEDgAeH6SO6vqM51UOH7D/t++sap+AvwkydeAo4FZDYJhtvlVwOnVHEC/Msl3gUcD3+imxM6Nff81j4eGvgk8KskRSfYEXgqct9065wGvbM++PwX4UVVd13WhY7TTbU5yGPBp4BUz/Nfhcjvd5qo6oqrWVtVa4JPAf53hEIDh/m9/Fnh6kvsl2Qt4MnB5x3WO0zDbfDVND4gkBwFHAld1WmW3xr7/mrseQVXdmeQk4Is0VxycWVWXJfkv7fIP0VxB8nzgSuB2mr8oZtaQ2/wO4CHAB9q/kO+sGR65cchtnivDbHNVXZ7kC8DFwN3AGVW14mWIs2DI3/M7gb9IcgnNYZO3VtXMDk+d5GzgWOCAJNcCfwzsAZPbfznEhCT13DweGpIkjcAgkKSeMwgkqecMAknqOYNAknrOIJCknjMIpDFpb/A5JslDpl2LNAqDQLqPkrwgyduTfD/Jz2jugn3sHAzfoZ7xhjLpPkhyDM1QwdcAS8Cxs3wHr/pt7oaYkLpQVZvhl4Hwc0NAs8xDQ9KueR5wPkCShyf5SJJPbluY5J1Tq0wakkEg7ZrjgC8BtLNovWbbgiS/jr1uzQCDQLqPkuxHMwnMFwas8niaCVOkVc0gkO679wCnVtWg+WWPwSDQDPCqIWlM2vsHTgOeQzMT3COB1875/LmaAwaBJPWch4YkqecMAknqOYNAknrOIJCknjMIJKnnDAJJ6jmDQJJ6ziCQpJ4zCCSp5/4/mf4OsQIt50kAAAAASUVORK5CYII=\n", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ - "# plot the geopotential height over the cross transitivity pointing upwards T_1i\n", - "plt.plot(np.array(cross_transitivity)[:,0], hgt_averaged, 'o', color='blue'); \n", - "plt.xlabel(r\"$\\mathcal{T}_{1i}$\");\n", - "plt.ylabel(r\"$Z_i$(km)\");\n", - "plt.title('cross transitivity');" + "plot_global_asymmetric_coupling(np.array(cross_global_clustering), \"global cross-clustering\", r\"\\mathcal{C}\")" + ] + }, + { + "cell_type": "markdown", + "id": "1e334508-8705-489b-bdfa-a7f190850486", + "metadata": {}, + "source": [ + "#### Cross-Transitivity" ] }, { "cell_type": "code", - "execution_count": 20, - "id": "f4ddc31a", + "execution_count": 13, + "id": "a660fabf-8672-48e4-8488-6a6b3d6a071b", "metadata": {}, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ - "# plot the geopotential height over the cross transitivity pointing downwards T_i1\n", - "plt.plot(np.array(cross_transitivity)[:,1], hgt_averaged, 'o', color='blue', label=r\"$\\mathcal{T}_{i1}$\");\n", - "plt.xlabel(r\"$\\mathcal{T}_{i1}$\");\n", - "plt.ylabel(r\"$Z_i$(km)\");\n", - "plt.title('cross transitivity');" + "plot_global_asymmetric_coupling(np.array(cross_transitivity), \"cross-transitivity\", r\"\\mathcal{T}\")" ] }, { @@ -847,56 +737,63 @@ "id": "711d6aef", "metadata": {}, "source": [ - "## Plotting some local measures for the coupled networks" + "### Local Measures" ] }, { + "attachments": {}, "cell_type": "markdown", - "id": "5898b11d", + "id": "401c42a2-7077-4ce4-8654-4aa22a10132b", "metadata": {}, "source": [ - "Local cross-network measures of `climate.CoupledClimateNetwork` give values for all vertices $v$ of the coupled network in form of a tuple of two numpy arrays where the first entry of the tuple corresponds to the measure for all nodes of the first subnetwork and the second entry for the nodes of the second subnetwork respectively.\n", + "For visualising the three-dimensional fields of local cross-network measures $m^{ij}_{v(\\vartheta,\\phi)}$, where $\\vartheta$ and $\\phi$ denote latitude and longitude, we choose to focus on their variation with height and latitude, and therefore consider zonal averages along circles of constant latitude,\n", + "$$ m^{ij}(\\vartheta)=\\langle m^{ij}_{v(\\vartheta,\\phi)} \\rangle _\\phi \\,. $$\n", "\n", - "For visualising the inherently three-dimensional fields of local cross-network measures $m^{ij}_{v(\\vartheta,\\phi)}$, where $\\vartheta$ and $\\phi$ denote latitude and longitude, we choose to focus on their variation with height and latitude. Therefore, we consider zonal averages\n", - "$$ m^{ij}(\\vartheta)=\\langle m^{ij}_{v(\\vartheta,\\phi)} \\rangle _\\phi $$\n", - "along circles of constant latitude." - ] - }, - { - "cell_type": "markdown", - "id": "3d049591", - "metadata": {}, - "source": [ - "The local measures of vertices of a subnetwork of a coupled climate networks instance are ordered by latitude and longitude in one single numpy array. In order to select the measures of the nodes by latitude and longitude, we need to reshape the single output array into a $N_{\\vartheta} \\times N_{\\phi}$ matrix, where $N_{\\vartheta}$ corresponds to the number of lattitude values and $N_{\\phi}$ to the number of longitude values." - ] - }, - { - "cell_type": "markdown", - "id": "d203bb28", - "metadata": {}, - "source": [ - "First, we determine the number of lattitude and longitude values for our example. It is the same for all 17 generated coupled climate networks." + "When computing local asymmetric cross-network measures for two subnetworks $G_i$ and $G_j$, `climate.CoupledClimateNetwork` returns values for all vertices $v$ of the coupled network in form of a pair of Numpy arrays, i.e., tuples $(m_{\\,\\cdot}^{ij},m_{\\,\\cdot}^{ji})$ where $m_{\\,\\cdot}^{ij}$ is a 1-D Numpy array ordered by latitude *and* longitude. In order to select the measures of the nodes by latitude and longitude, we need to reshape the output array into a $N_{\\vartheta} \\times N_{\\phi}$ matrix, with $N_{\\vartheta}$/$N_{\\phi}$ being the number of latitude/longitude values. In our example, these numbers are the same for all 17 generated coupled climate networks." ] }, { "cell_type": "code", - "execution_count": 27, - "id": "14e75a44", + "execution_count": 14, + "id": "aac4fd1e-1fae-48c7-9d26-692bf5a7a05c", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "number of lat values: 7\n", - "number of lon values: 17\n" - ] - } - ], + "outputs": [], "source": [ - "# calculate the number of lon and lat values\n", - "print(f'number of lat values: {len(np.unique(coupled_network.grid_1.lat_sequence()))}') \n", - "print(f'number of lon values: {len(np.unique(coupled_network.grid_1.lon_sequence()))}') " + "from typing import List, Tuple, Callable, Optional\n", + "\n", + "lat, lon = [\n", + " np.unique(coupled_network.grid_1.__getattribute__(f\"{coo}_sequence\")())\n", + " for coo in [\"lat\", \"lon\"]]\n", + "X, Y = np.meshgrid(lat, hgt_averaged)\n", + "\n", + "def plot_zonal_coupling(\n", + " measure: List[Tuple[np.ndarray,...]], title: str, clabel: str,\n", + " vert_labels: Tuple[str, str] = tuple(\n", + " [f\"pointing {v}wards\" for v in ['up', 'down']]),\n", + " vert_indices: Tuple[str, str] = (r\"^{\\,1l}\", r\"^{\\,l1}\"),\n", + " transform: Optional[Callable[[np.ndarray], np.ndarray]] = None):\n", + " \"\"\"\n", + " Zonal heat plot of a coupling network measure.\n", + " \"\"\"\n", + " fig, axes = plt.subplots(1, 2, layout=\"constrained\")\n", + " fig.suptitle(title)\n", + " Z = np.zeros((VERTICAL_LEVELS, len(lat)))\n", + " \n", + " # plot both vertical directions of coupling\n", + " for vert in range(2):\n", + " # average over lon with same lat\n", + " for l in range(VERTICAL_LEVELS):\n", + " Z[l] = measure[l][vert].reshape(len(lat), len(lon)).mean(axis=1)\n", + " Z = Z if transform is None else transform(Z)\n", + " ax = axes[vert]\n", + " pcm = ax.pcolormesh(X, Y, Z)\n", + " ax.set_title(vert_labels[vert])\n", + " ax.set_xlabel(r\"Latitude $\\vartheta$ (°N)\")\n", + " if vert == 0:\n", + " ax.set_ylabel(r\"$Z_{\\,l}$ (km)\")\n", + " fig.colorbar(\n", + " pcm, ax=ax,\n", + " label=r\"${}\".format(clabel) + vert_indices[vert] + r\"(\\vartheta)$\")" ] }, { @@ -904,103 +801,28 @@ "id": "6bc0c10e", "metadata": {}, "source": [ - "### Cross degree\n", - "\n", - "The method `climate.CoupledClimateNetwork.cross_degree()` of two coupled climate subnetworks $G_i$ and $G_j$ returns the tuple $(\\mathbf{k_v^{ij}},\\mathbf{k_v^{ji}})$, with $\\mathbf{k_v^{ij}}$ being a numpy array containing the non-symmetric cross degree of the vertices." - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "id": "aca9b7f0", - "metadata": {}, - "outputs": [], - "source": [ - "# cross degree\n", - "\n", - "cross_degree_upwards_zonial = np.zeros((17,7)) # 17 levels and 7 lat values\n", - "cross_degree_downwards_zonial = np.zeros((17,7)) # 17 levels and 7 lat values\n", - "\n", - "for l in range(VERTICAL_LEVELS): # loop over all vertical levels\n", - " \n", - " cd_upwards = np.array(cross_degree[l][0]).reshape(7,17) # k_1l, 7 lat values and 17 lon values\n", - " cd_downwards = np.array(cross_degree[l][1]).reshape(7,17) # k_l1, 7 lat values and 17 lon values\n", - " \n", - " cd_upwards_zonial = cd_upwards.mean(axis=1) # average over lon with same lat\n", - " cd_downwards_zonial = cd_downwards.mean(axis=1) # average over lon with same lat\n", - " \n", - " cross_degree_upwards_zonial[l] = cd_upwards_zonial\n", - " cross_degree_downwards_zonial[l] = cd_downwards_zonial " + "#### Cross-Degree" ] }, { "cell_type": "code", - "execution_count": 122, - "id": "71cceb19", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# heat plot for cross degree pointing upwards\n", - "\n", - "lat = np.unique(coupled_network.grid_1.lat_sequence())\n", - "hgt = hgt_averaged\n", - "X,Y = np.meshgrid(lat,hgt)\n", - "Z = cross_degree_upwards_zonial\n", - "\n", - "plt.pcolormesh(X,Y,Z)\n", - "plt.colorbar(label=r\"$k^{1i}(\\vartheta)$\")\n", - "plt.title('cross-degree pointing upwards')\n", - "plt.xlabel(r\"Latitude $\\vartheta$ (°N)\");\n", - "plt.ylabel(r\"$Z_i$ (km)\");\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 123, - "id": "0c33d55e", + "execution_count": 15, + "id": "4d00102f-8f4b-4788-8cd6-99ec9f87ba6f", "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYgAAAEZCAYAAACNebLAAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAAlNklEQVR4nO3debwddX3/8dc7NxsEkCWAYREUKEtRQKNgcQFBpdQWsKWFqg2Cjf4KilWroFbR6q9YxaW/Iv4iKKEgSlkkIkUgspRWwAAxBAICyhISshEkIEty76d/zPfAcO6cc+bce9Z738/HYx73zP6ZyeR8zvf7nfmOIgIzM7NqE7odgJmZ9SYnCDMzK+QEYWZmhZwgzMyskBOEmZkVcoIwM7NCThBjlKSQtGu342gXSe+RdPUo1v+OpH9sZUx19vWgpEM7sa9OknScpJu6HYe1z8RuB2A2EhFxAXBBmWUlHQd8ICLelFv/Q20KzWzMcAmizSSNqSQsaaDbMVjnjbXr2MpxghghSTtKulTSKklrJP1bmn6cpP+W9A1JjwOnSXqZpPPSsg9J+qykCWn5XSXdIOl3klZL+lGarrSNlWneIkl714nnHyQtl7RM0vFV86ZI+pqkhyWtSNUrG+XmfzK37gfy1VOSzpV0lqQrJT0NHCxpO0mXpOP5raSP5LY1QdIpkh5I5+UiSVvWiPkgSUslfTod+4OS3pObX++8vaR6I8X8IUn3SVor6cx0DvcEvgO8UdJTkp7IHdeXquL4eDrfyyW9P7ftrST9RNKTkn4p6Uv1qlYkvS/Fu0bSZwr+Lb6ZzvWy9HlKmneDpD9Pn9+UjunwNH6opIX5Y0//pmvTv8Efp3kHS7ozt79rJd2aG79J0pHpc+XfaZ2kuyUdlVuu6DreStK8dB5uBXbJLS81cb1af3CCGAFlv6KvAB4Cdga2B36YW2R/4DfANsCXgf8HvAx4FfBW4G+AyhfQPwFXA1sAO6RlAd4BvAX4A2Bz4K+ANTXiOQz4BPB2YDegur77K2k7+wK7png/l1v3Y2mdXVN81f46HcemwP8APwF+lbZzCPBRSe9My34EODJtZztgLXBmUdzJy4HpaVuzgDmSdk/z6p23Iu8CXg/sA/wl8M6IWAJ8CPhFRGwSEZvXieNlKY4TgDMlbZHmnQk8nZaZlYZCkvYCzgLeR3b8W5H9u1Z8BjiA7N9iH+ANwGfTvBuAg9Lnt5BdQ2/Njd+Q287+wL1k5+5fgHMkCfgFsKuk6cp+9e8N7CBpU2U/Cl4H/FfaxgPAm9NxfwE4X9KMqn3kr+MzgWeBGcDxaagofb1aH4kID00OwBuBVcDEgnnHAQ/nxgeA54C9ctM+CFyfPp8HzAF2qNrO24Bfk32ZTGgQz/eA03PjfwAE2Re+yL7cdqmK/7e5df85N2/Xyrpp/FzgvNz8/fPHl6adCnw/fV4CHJKbNwNYX+NcHQRsAKblpl0E/GOJ83YccFNuXgBvqtrOKUXL5o7rS7k4nsnHCKxM534gxb97bt6XqreXm/c54Ie58WnA88ChafwB4PDc/HcCD6bPhwCL0uergA8AN6fxG4B3547n/tw2Nk7H//I0/l/Au1P8V6dzcRhwcGX7NWJfCBxR5zpeD+yRm/Z/K+eBJq5XD/0zuAQxMjsCD0XEhhrzH8l9ng5MJittVDxE9ksV4JNkX+K3SrpLqXooIn4O/BvZr7YVkuZI2kzSK1JVyVOSnkrb2K5qn/l9bU32BXKbpCdSFctVaXrRuvnPRdN2ArarbCtt79PAtrn5l+XmLQEGc/OrrY2Ip6ti347G563IY7nPvwc2qbNstTVV/56V9bcmu5mj0TmqeMn5TMe2pmp+9TFtlz7/AvgDSduSlTDOA3aUNJ2spHFjbr0XjjUifp8+Vo63UhKplDquJyuJvJVcKUTS30hamPu32pvsvBcdZ9F5eOE4al2vWF9zghiZR4BXqHbDXb6L3NVkv7x2yk17BfAoQEQ8FhF/GxHbkf1C/rZS/X9E/GtEvA74Q7JSwT9ExMORVZVsEhGVL4TlZEkrv/38/p8B/jAiNk/Dy6rWzVeB5LdTdDyPkJU+Ns8Nm0bE4bn5f1w1f2pEPFrjXG0haVpV7MsanbcmjabL4lVkpZxG56jiJf8WkjYmq2aqWMbwY1oGL3zR3wacDCyOiOfJqvQ+BjwQEatLxlydIG6gKkFI2gn4LnASsFVkVW+LyX6sVOTPW+U81LrOCq/XkvFaj3KCGJlbyb4ITpc0TdJUSQcWLRgRg2RF/C+neuCdyP7Dnw8g6WhJlS+ftWT/KQclvV7S/pImkVURPUv2S7zIRcBxkvZKX0ifz+1/iOyL4BuStkn73D7XZnAR8H5Je6Z1P1fi2J+U9ClJG0kakLS3pNen+d9Jx7pT2tfWko5osM0vSJos6c1k7Qj/0ei8NWkFWT385GZXTHFcStZIu7GkPcjaQmq5GHhXamSeDHyRl/4/uxD4bDov08nOd/6YbiD70q780r++aryM/wF2Jyt13BoRd5Elpf15sRQyjexaWwWgrFG+ZqNywXnYi1xbTJPXq/UJJ4gRSP9Z/pSsvv5hYClZo1wtHyb7T/Mb4CbgB2R1/5A1qt6SqovmASdHxG+Bzci+2NeSFeXXAF+rEc9/At8Efg7cn/7mfSpNv1nSk8C1ZF8glXX/FbguLfOLtM5zDY59X+C3ZL/0zyZr6AT4VjqOqyWtA24m+2Kq5bF0jMvInmv4UETck+bVO2/N+DlwF/CYpLK/wvNOIju+x4B/J/uSr3V+7gJOTLEuJzu2pblFvgQsABYBdwK3p2kVN5DdDHBjjfGGUrXW7cBdqRQC2b/rQxGxMi1zN3BGmr4CeDXw3w02fRJZNdZjZG0438/NK329Wv9QhF8YZC9SdlvoYmBKnTaWVu3rIOD8iNihwaI9RdJXyBqEa97NZDYWuARhSDoqVfFsQXZL7E/anRz6iaQ9JL0m3ev/BrLbYC/rdlxm7eYEYZA1jq8iuwVzEPg/3Q2n52xKVv/+NFm7yBnA5V2NyKwDXMVkZmaFXIIwM7NCfdkB12RNialMa7ygmY1r61i7OiK2brxkbe88eFqsebzcHbu3LXruZxFx2Gj210v6MkFMZRr765Buh2FmPe7auPihxkvVt/rxQW75Wbkb7SbNeGB646X6R18mCDOzzgkGY6jbQXSFE4SZWR0BDI2qt5b+5QRhZtbAEC5BmJlZlSBY7yomMzOrFsCgq5jMzKzIeG2D8INyZmZ1BDAYUWpoRNL30nu7F+embSnpGmXvU78m96pbJJ0q6X5J9+a66O8YJwgzswaGSg4lnEv2+te8U4D5EbEbMD+NV95vfgzZC5gOI3uZ2MCoDqRJThBmZnUEwWDJoeG2Im4EHq+afAQwN32eCxyZm/7DiHguvSPmfrKXQHWM2yDMzOqIgPXlmyCmS1qQG58TEXMarLNtRCzP9hXLK29+JHv/+s255ZZS/53sLecEYWZWlxh8yau661odETNbtuPhOtpa7iomM7M6AhiKcsMIrZA0AyD9XZmmLwV2zC23A9mreTvGCcLMrIHBVIpoNIzQPKDy+tpZvPgyqnnAMZKmSHolsBtw66gOpEmuYjIzqyN7UG7EX/4vIelC4CCytoqlwOeB04GLJJ0APAwcDRARd0m6CLgb2ACcGBHl+h1vEScIM7M6AlgfralsiYhja8wqfH9BRHwZ+HJLdj4CThBmZnUEYnCc1sY7QZiZNTAUrali6jcdS4uSpkq6VdKvJN0l6Qtpes3HzM3Muq3SBtHGRuqe1cly03PA2yJiH2Bf4DBJB1DjMXMzs94gBmNCqWGs6dgRReapNDopDUHtx8zNzLoue6PchFLDWNPRNojU0dRtwK7AmRFxi6Raj5lXrzsbmA0wlY07FbKZjXMR4vnoaB95PaOjKS8iBiNiX7InAt8gae8m1p0TETMjYuYkprQtRjOzakOo1DDWdOUupoh4QtL1ZF3YrpA0I5Ue8o+Zm5l1XdZIPfaqj8ro5F1MW0vaPH3eCDgUuIfaj5mbmfWA8dtI3ckSxAxgbmqHmABcFBFXSPoFBY+Zm5n1gkoj9XjUsQQREYuA/Qqmr6HGY+ZmZr1gcJw+KOcnqc3M6gjE+hifX5Xj86jNzEoaz43UThBmZnUEchWTmZkVcyO1mZkNE8GYvIW1DCcIM7M6skbq8dnVhhOEmVkDbqQ2M7NhAo3bFwY5QZiZNeAShJmZDRPAkBupzcxsuLH5OtEynCDMzOoI8F1MZmY2XIRcxWRmZsX8oJyZmQ2TvQ/CbRBmZjaMXIIwM7PhsttcXYIwM7Mq7ovJzMxqcnffZmY2TNbdt6uYzMyswHhtgxif5SYzs5Ky3lwnlBrKkPT3ku6StFjShZKmStpS0jWS7kt/t2jzYZXiBGFmVkfW1caEUkMjkrYHPgLMjIi9gQHgGOAUYH5E7AbMT+Nd17EEIWlHSddJWpKy58lp+mmSHpW0MA2HdyomM7PGWluCIKva30jSRGBjYBlwBDA3zZ8LHNnqoxiJTrZBbAA+HhG3S9oUuE3SNWneNyLiax2MxcystFY9SR0Rj0r6GvAw8AxwdURcLWnbiFiellkuaZuW7HCUOpYg0sFXTsA6SUuA7Tu1fzOzkWjyLqbpkhbkxudExJzKSGpbOAJ4JfAE8B+S3tuqWFutK3cxSdoZ2A+4BTgQOEnS3wALyEoZawvWmQ3MBpjKxp0L1szGvSaqj1ZHxMw68w8FfhsRqwAkXQr8EbBC0oxUepgBrBxVwC3S8UZqSZsAlwAfjYgngbOAXYB9yUoYZxStFxFzImJmRMycxJROhWtm41zlndRlhhIeBg6QtLEkAYcAS4B5wKy0zCzg8rYcTJM6WoKQNIksOVwQEZcCRMSK3PzvAld0MiYzs3oC2NCizvoi4hZJFwO3k7XL3gHMATYBLpJ0AlkSObolOxyljiWIlC3PAZZExNdz02dUGmeAo4DFnYrJzKyMVr4wKCI+D3y+avJzZKWJntLJEsSBwPuAOyUtTNM+DRwraV+yRP0g8MEOxmRmVl/56qMxp5N3Md0EhfeKXdmpGMzMmuUXBpmZWU0uQZiZ2TB+YZCZmRUKxIah8dltnROEmVkDboMwM7PhwlVMZmZWwG0QZmZWkxOEmZkNE4hBN1KbmVkRN1Kbmdkw4UZqMzOrJZwgzMxsOHfWZ2ZmNbgEYWZmw0TA4JAThJmZFfBdTGZmNkzgKiYzMyvkRmozM6shotsRdIcThJlZA65iMjOzYbK7mNwXk5mZFXAVk5mZFXIVk5mZDRNo3CaIjlWsSdpR0nWSlki6S9LJafqWkq6RdF/6u0WnYjIzKyNKDmNNJ1teNgAfj4g9gQOAEyXtBZwCzI+I3YD5adzMrDcExJBKDWNNxxJERCyPiNvT53XAEmB74AhgblpsLnBkp2IyMysjQqWGsaYrbRCSdgb2A24Bto2I5ZAlEUnbdCMmM7NafBdTh0jaBLgE+GhEPCmVy7qSZgOzAaaycfsCNDPLGc99MXX06Q9Jk8iSwwURcWmavELSjDR/BrCyaN2ImBMRMyNi5iSmdCZgM7MAQuWGMaaTdzEJOAdYEhFfz82aB8xKn2cBl3cqJjOzMiLKDWNNJ6uYDgTeB9wpaWGa9mngdOAiSScADwNHdzAmM7MGxuYdSmV0LEFExE1Q860bh3QqDjOzprWwdCBpc+BsYO+05eOBe4EfATsDDwJ/GRFrW7fXkRmfPVCZmZUVLb/N9VvAVRGxB7AP2S3/Pfk8WNMJQtI0SQPtCMbMrCe16FFqSZsBbyFrjyUino+IJ+jR58EaJghJEyT9taSfSloJ3AMsT91lfFXSbu0P08ysm1RyYLqkBblhdtWGXgWsAr4v6Q5JZ0uaRtXzYEBPPA9Wpg3iOuBa4FRgcUQMQdaHEnAwcLqkyyLi/PaFaWbWRUOll1wdETPrzJ8IvBb4cETcIulb9Eh1UpEyCeLQiFhfPTEiHid7puGS9HyDmdnYU3kOojWWAksj4pY0fjFZglghaUbqTaLm82Cd1rCKqZIcJM2UdJmk2yUtknSnpEX5ZczMxqJWPQcREY8Bj0jaPU06BLibNj0PNto242Zuc70A+AfgTpopcJmZ9bvWPgT3YeACSZOB3wDvJ/uxPurnwSRNAI4B3gO8HngOmCJpFXAlMCci7iu7vWYSxKqImNdMsGZmY0ILu9GIiIVAUTtFK54Ha2mbcTMJ4vOSzia7R/e5ysRcn0pmZmOS+qcbjZa2GTeTIN4P7AFM4sUqpgCcIMxs7ApB/3S18WpJHyZ7184y4Fbg8oh4tLJAM23GzSSIfSLi1U0sb2Y2NvRPCeKHwAeB35H9eH8aOFnSNWRv9Hyu3srVmnmS+ub0ilAzs/Glf15KvQ64ieyB5scj4kRgL+AhYE6zG2umBPEmYJak35K1QQiIiHhNszs1M+srvfHlX8bXgduAyWRtDkTEIPBVSXc3u7FmEsRhzW7czKzvtfZBubaKiAsk/QyYARwhaRawnuyW16YfvmsmQUyPiNvyEyT9KVnRxcxszOqju5iIiNXAakmvJatemkLWnfhnm91WMwniu5JmRcSdAJKOBT4K/KTZnZqZ9ZU+SRCSFJE90x0Rcxst00gzjdR/AcyVtKekvwX+DnhHE+ubmfUlRbmhB1wn6cOSXpGfKGmypLdJmsuLXXo0VLoEERG/kXQM8GPgEeAdEfFM2fXNzPpWn7RBkLUVHw9cKOmVwBPARmSFgauBb6QnuUtpmCAk3clLC1hbAgPALZLwXUxmNqb1zi2sDUXEs8C3gW+nJ6anA8+klxI1rUwJ4l0j2bCZ2ZjRJwkiLz0xvXw02yiTIB5u1KDRTKOHmVm/UR/2Xy3pUxHxldFso9Qb5SRdQtafx8O5nU8mPTxH1oPguaMJxMysZ/XBz19JF+VHgX2BtieIokaPqWTtEE03epiZ9ZMeukOpkScj4gOVEUlnjXaDDRNEqxs9zMz6Tn/cxfSlqvHPjHaDzTwHQUSsj4jlI0kOkr4naaWkxblpp0l6VNLCNBze7HbNzNquPzrrO17SlyUdLWm39A6IUWkqQYzSuRT35/SNiNg3DVd2MB4zs1L64UG5iPgc8K9kPbr+uaTvjnabHUsQEXEjMOqMZmbWUZHdxVRm6LaIWBERVwGbRMTf5udJGmh2e00nCElfzBdjml2/wEmSFqUqqC3q7He2pAWSFqynqXdemJmNTn9UMeVtn/rLA0DSNmTvqm5K0wmixcWYs4BdyG7HWg6cUWe/cyJiZkTMnMSUUezSzKxJ/ZcgPgjMlvQGSa8Hfg58rdmNlOlqYzUwKyJ+WpkWESuAq9IwYmk7lf18F7hiNNszM2uHbrcvlCXpPOB24A7gROAHwAbgyIi4v9ntlSlBrAfOkvSB6hmSLmx2h1Xrz8iNHgUsrrWsmZk1NJfse/14suSwM7AWeK+kv2h2Y2UelFsOvBu4StIOEXFabt4eZXeUkslBwHRJS4HPAwdJ2pescPYgWbHIzKy39EkJIiLmA/Mr45Imkr00aB/gAODiZrZXqrvviHhQ0oHATyTtAMyOiCGaOG0RcWzB5HPKrm9m1hXRG3cojUREbAAWpeHfm12/TBWT0o7WAG8DtgHmSdq4Ms/MbEzrv0bqliiTIO6ofEjdbhwJPApcD2zWlqjMzHqE6I8H5dqhYYKIiOOrxoci4oPAT4FXtiswM7Oe4RJEcyLiCzhBmNlYV7L0MBZLEKXfSV0kIh5qVSBmZj2rTxupR2tUCcLMbDwYi6WDMpwgzMwaGacJopPdfZuZ9Z+yDdQlk4ikAUl3SLoijW8p6RpJ96W/NTst7TQnCDOzBlrcSH0ysCQ3fgowPyJ2I3sK+pTWRj9yThBmZo20qASReqL4E+Ds3OQjyPpQIv09sjVBj17/tkGoB3NbjNNbHczGuCa62pguaUFufE5EzMmNfxP4JLBpbtq2EbEcICKWp3c39IT+TRBmZp3Q3ENwqyNiZtEMSe8CVkbEbZIOaklsbeYEYWZWh2hZp3MHAn8m6XBgKrCZpPOBFZJmpNLDDGBla3Y3ej1YT2Nm1mNa0AYREadGxA4RsTNwDPDziHgvMA+YlRabBVze+gMYGZcgzMwaaPODcqcDF0k6AXgYOLqte2uCE4SZWSMtThARcT1Zj9iVVykc0to9tIYThJlZPX38wqDRcoIwM2tknHa14QRhZtaAO+szM7NiThBmZlbEJYg+owktenSlhWKw2xFYy/RiVy705nUPEINj+OIP/MIgMzMbTozfEkTHfiZJ+p6klZIW56b1bD/oZmYvaOH7IPpJJ8vR5wKHVU3r2X7QzcwqFFFqGGs6liAi4kbg8arJPdsPupkZ0PI3yvWTbrdBlO4HXdJsYDbAVDbuUHhmZuO3DaLbCaK09NKNOQCbactx+s9lZt0wXrva6Pa9fCtS/+f0Wj/oZmYvcBVTV1T6QT+dJvpBl4QGBtoZ14iM6XvBrSf04nUPEEM9+u3YirBi/FYxdfI21wuBXwC7S1qa+j4/HXi7pPuAt6dxM7Pe4hJEe0XEsTVm9WQ/6GZmML4flOt2FZOZWc9Tr1ahtZkThJlZPWO0+qgMJwgzswbG622uThBmZo24BGFmZkXcSG1mZsMFMAY74ivDCcLMrAG3QfSTgQEmbLF5t6MYJtas7XYIhWLD+m6H0H+iN78R/LR+5/k5CDMzKxbhKiYzMyvmEoSZmRVzgjAzsyIuQZiZ2XABDI7PDOEEYWbWgEsQZmZWzHcxmZlZkfFaguj2O6nNzHpb2bfJlUgiknaUdJ2kJZLuknRymr6lpGsk3Zf+btGeg2mOE4SZWR0CNBilhhI2AB+PiD2BA4ATJe0FnALMj4jdgPlpvOv6s4pp8kSGtt+621EMMzBpUrdDKDS0ak23Qyg09Nyz3Q6h77irje5Qi9ogImI5sDx9XidpCbA9cARwUFpsLnA98KmW7HQU+jNBmJl1SnNvlJsuaUFufE5EzClaUNLOwH7ALcC2KXkQEcslbTPieFvICcLMrK6m+mJaHREzGy0kaRPgEuCjEfGkpNEE2DZugzAza0BRbii1LWkSWXK4ICIuTZNXSJqR5s8AVrbjOJrlBGFm1kilR9dGQwPKigrnAEsi4uu5WfOAWenzLODylh/DCLiKycysnqDsHUplHAi8D7hT0sI07dPA6cBFkk4AHgaObtUOR6MnEoSkB4F1wCCwoUwdnplZx7QoP0TETWR3zhY5pDV7aZ2eSBDJwRGxuttBmJlVa9Vtrv2mlxKEmVlvGqcJolcaqQO4WtJtkmYXLSBptqQFkhY8v+H3HQ7PzMatAIZKDmNMr5QgDoyIZenhkGsk3RMRN+YXSA+bzAHY6OU7xrK3vqwbcdY15XebdTuEQhut2aHbIRSa/Lv13Q6hpgnP9uYTywPrnul2CIX0zPPdDqHYA6PfhIhxW8XUEyWIiFiW/q4ELgPe0N2IzMxyhobKDWNM1xOEpGmSNq18Bt4BLO5uVGZmiauYumpb4LL0qPlE4AcRcVV3QzIze9F4rWLqeoKIiN8A+3Q7DjOzmpwgzMxsuKY66xtTnCDMzOoJoHVdbfQVJwgzswbcBtFHYtoQzx7wdLfDGOap5wa6HUKheLI333Q3+Ymp3Q6hpoHefNyAKU9M63YIhSY+06NfoC14DgJwFZOZmRUIYMgJwszMhnEjtZmZ1eIEYWZmwwQwOAYfky7BCcLMrK6AcIIwM7MirmIyM7NhfBeTmZnV5BJE/9hsyrMctsuSbocxzH6bPNTtEAr94ZRHux1CoQfWb9PtEGr66ZrXdDuEQvet3brbIRT63e979KHHc1q0HScIMzMbJgIGe/MNg+3mBGFm1ohLEGZmVsgJwszMhgvfxWRmZgUCwg/KmZlZIXe10T8GNMS0ic91O4xhdpy0ptshFNpzUm/egbH35Me6HUJNWw882e0QCs2b9Npuh1Do1+t68/bbX7diIxEw5ARhZmZF3EhtZmZFwiUIMzMbzi8M6ipJhwHfAgaAsyPi9HrLPzM4iSVPvrwjsTXjlVNWdTuEQq+efF+3Qyi0zYRNuh1CTa+dsq7bIRR6pEe7c5k4oTfbua5uxUbcWV/3SBoAzgTeDiwFfilpXkTc3d3IzMyy/BDjtKuNCd0OAHgDcH9E/CYingd+CBzR5ZjMzDKRXhhUZihB0mGS7pV0v6RT2hz9qPRCgtgeeCQ3vjRNewlJsyUtkLTg+See6VhwZmYxFKWGRnI1Jn8M7AUcK2mvNoc/Yr2QIFQwbdiZjog5ETEzImZO3nyjDoRlZpa0rgTRVzUmXW+DICsx7Jgb3wFYVm+F3927avW8N5/Zqta66cDqVmxoXis28qKWxfWhVmzkRS2Lq8V6NS5oaWwtfbdHr56zVsa102g3sI61P7s2Lp5ecvGpkhbkxudExJzceFGNyf6jjbFdeiFB/BLYTdIrya7+Y4C/rrdCRLTssU1JCyJiZqu21yqOqzm9Ghf0bmyOq5yIOKyFmytVY9Irup4gImKDpJOAn5Hd5vq9iLiry2GZmbVD0zUm3dT1BAEQEVcCV3Y7DjOzNmu6xqSbeiJBdNmcxot0heNqTq/GBb0bm+PqsH6rMVGM00fIzcysvl64zdXMzHqQE4SZmRUa0wlC0oCkOyRdkcZPk/SopIVpOLzGem19FL4grh/lYnpQ0sIa6z0o6c603IKiZUYZ17DtS9pS0jWS7kt/t6ixbtvOWY24virpHkmLJF0mafOy67Y5rl65xopi6/p1JmlzSRenf7slkt7YC9eY1RARY3YAPgb8ALgijZ8GfKLBOgPAA8CrgMnAr4C92hlX1bwzgM/VWO9BYHobz9ew7QP/ApySPp8CfKXT56xGXO8AJqbPXymKq93nrEZcvXKN1T3ubl1nwFzgA+nzZGDzXrjGPBQPY7YEIWkH4E+As5tcta2PwteLS5KAvwQubNX+WuAIsv/UpL9HFizT8e4DIuLqiNiQRm8mu5+8X3S1u4VuXWeSNgPeApwDEBHPR8QT9Og1ZmO7iumbwCeB6g5STkrVEt+rUZQt1XlgG+ICeDOwIiJqvcAhgKsl3SZpdgtjqrf9bSNiOUD6u03Beu0+Z42O+3jgP0e4bjvi6vY1Vi826N519ipgFfD9VMV6tqRp9MY1ZgXGZIKQ9C5gZUTcVjXrLGAXYF9gOVkxe9jqBdNaci9wnbgqjqX+r7oDI+K1ZD1BnijpLa2IqwXbb3f3ATXjkvQZYANwQbPrtimurl5jDWKr6NZ1NhF4LXBWROwHPE1WpVRGX3VRMVaMyQQBHAj8maQHyYqib5N0fkSsiIjBiBgCvktWbK3WzkfhC+MCkDQReDfwo1orR8Sy9HclcBnF8Y9Yje2vkDQjxTgDWFmwalu7D6h13JJmAe8C3hOporrsuu2KqweusZqxQdevs6XA0oi4JY1fTJYwun6NWbExmSAi4tSI2CEidiZ7lP3nEfHeykWYHAUsLlj9hUfhJU1O67eko9ZacaXZhwL3RMTSonUlTZO0aeUzWSNtUfwjUmf784BZabFZwOUFq7ftnNWKS9lraj8F/FlE/L7JY2pnXF29xurFlmZ37TqLiMeARyTtniYdAtxNl68xq6PbreTtHoCDePEupn8H7gQWkV1cM9L07YArc+scDvya7K6Jz7Q7rjR+LvChqmVeiIus/vZXabir1XHV2j6wFTAfuC/93bKT56xOXPeT1UkvTMN3OnnO6sTV9Wus3nH3wHW2L7AgnZ8fA1t0+xrzUHtwVxtmZlZoTFYxmZnZ6DlBmJlZIScIMzMr5ARhZmaFnCDMzKyQE4SZmRVygjAzs0JOEDZikp4qudzmkv6uatr/1JpXcpunSfrECNZ7r6Tb0zsFZhbM30jSDZIG0vgxafmP5pYJSWfkxj8h6bT0ebKkG1OXFmZ9zQnCOmFz4CVJICL+qNa8dpG0NVn3HH8EfBA4qWCx44FLI2IwjR8DvB44QNImadpzwLslTa9eObKuqOcDf9Xi8M06zgnCWkrSj1M30Xfluoo+HdhF2RvKvpqWe6ponqSdJS3ObS//6/wzyt4odi2wOzmpZHBr2s7/r5QAqswAppC9fGYtxe+QeA8v7Quo0oto5D5vAOYAf1/jNPw4bcesr7kYbK12fEQ8Lmkj4JeSLiHr0nnviNi3YPmXzJO0c9FGJb2O7Nf8fmTX7e3AbWnenmS/2A+MiPWSvk32BX1ebv3jyHoDvQS4CdgSuKFqH5OBV0XEg7nJl5L1HXR+RKzLTT8TWCTpXwrCXUxW6jDra04Q1mofkXRU+rwjsBvwWAu2+2bgskg9t0rK9+R5CPA6soQEsBHDu4zeC1gSEd8HTk1J5O6qZaYDT+QnRMRcXnzbWX76k5LOAz4CPFM1b1DS85I2rUoqZn3FCcJaRtJBZN1JvzEifi/pemBqk5vZwEurPvPr1+pZUsDciDi1znanAOtTnAMpzn+uWuYZmov3m2Qlme/X2N+zTWzLrOe4DcJa6WXA2pQc9gAOSNPXAZvWWKd63gpgG0lbSZpC9kIggBuBo9JdRpsCf5pbZz7wF5K2AZC0paSdqvZzLy9W+3wMuDYi8q+wJCLWAgOSSiWJiHgcuAg4IT9d0lbAqohYX2Y7Zr3KCcJGY2NJSysDsAcwUdIi4J+AmwEiYg3w35IWVxqpK6rnpS/VLwK3AFcA96Tlbid7C9pCsnaE/8pt427gs2TvUV4EXEPWIJ13HrCvpHuA1wAfr3FMVwNvauIcnEFWNZV3MHBlE9sw60l+H4RZjqT9gI9FxPtGsY1LgVMj4t7WRWbWeS5BmOVExB3AdTVuk20o3Qn1YycHGwtcgjAzs0IuQZiZWSEnCDMzK+QEYWZmhZwgzMyskBOEmZkVcoIwM7NC/wscvxq5xJrqzQAAAABJRU5ErkJggg==\n", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ - "# heat plot for cross degree pointing downwards\n", - "\n", - "lat = np.unique(coupled_network.grid_1.lat_sequence())\n", - "hgt = hgt_averaged\n", - "X,Y = np.meshgrid(lat,hgt)\n", - "Z = cross_degree_downwards_zonial\n", - "\n", - "plt.pcolormesh(X,Y,Z)\n", - "plt.colorbar(label=r\"$k^{i1}(\\vartheta)$\")\n", - "plt.title('cross-degree pointing downwards')\n", - "plt.xlabel(r\"Latitude $\\vartheta$ (°N)\");\n", - "plt.ylabel(r\"$Z_i$ (km)\");\n", - "plt.show()" + "plot_zonal_coupling(cross_degree, \"cross-degree\", \"k\")" ] }, { @@ -1008,101 +830,28 @@ "id": "a9035fe5", "metadata": {}, "source": [ - "### Cross closeness\n", - "\n", - "The method `climate.CoupledClimateNetwork.cross_closeness()` of two coupled climate subnetworks $G_i$ and $G_j$ returns the tuple $(\\mathbf{c_v^{ij}},\\mathbf{c_v^{ji}})$, with $\\mathbf{c_v^{ij}}$ being a numpy array containing the non-symmetric cross degree of the vertices." - ] - }, - { - "cell_type": "code", - "execution_count": 62, - "id": "fbd46ed8", - "metadata": {}, - "outputs": [], - "source": [ - "# cross-closeness\n", - "\n", - "cross_closeness_upwards_zonial = np.zeros((17,7)) # 17 levels and 7 lat values\n", - "cross_closeness_downwards_zonial = np.zeros((17,7)) # 17 levels and 7 lat values\n", - "\n", - "for l in range(VERTICAL_LEVELS): # loop over all vertical levels\n", - " \n", - " cc_upwards = np.array(cross_closeness[l][0]).reshape(7,17) # c_1l, 7 lat values and 17 lon values\n", - " cc_downwards = np.array(cross_closeness[l][1]).reshape(7,17) # c_l1, 7 lat values and 17 lon values\n", - " \n", - " cc_upwards_zonial = cc_upwards.mean(axis=1) # average over lon with same lat\n", - " cc_downwards_zonial = cc_downwards.mean(axis=1)\n", - " \n", - " cross_closeness_upwards_zonial[l] = cc_upwards_zonial\n", - " cross_closeness_downwards_zonial[l] = cc_downwards_zonial" + "#### Cross-Closeness" ] }, { "cell_type": "code", - "execution_count": 125, - "id": "19039e2a", + "execution_count": 16, + "id": "31c0412b-736e-472f-b77a-f71e228728f3", "metadata": {}, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ - "# heat plot for cross closeness pointing upwards\n", - "lat = np.unique(coupled_network.grid_1.lat_sequence())\n", - "hgt = hgt_averaged\n", - "X,Y = np.meshgrid(lat,hgt)\n", - "Z = cross_closeness_upwards_zonial\n", - "\n", - "plt.pcolormesh(X,Y,Z)\n", - "plt.colorbar(label=r\"$c^{1i}(\\vartheta)$\")\n", - "plt.title('cross-closeness pointing upwards')\n", - "plt.xlabel(r\"Latitude $\\vartheta$ (°N)\");\n", - "plt.ylabel(r\"$Z_i$ (km)\");\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 126, - "id": "5d454d12", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# heat plot for cross closeness pointing downwards\n", - "lat = np.unique(coupled_network.grid_1.lat_sequence())\n", - "hgt = hgt_averaged\n", - "X,Y = np.meshgrid(lat,hgt)\n", - "Z = cross_closeness_downwards_zonial\n", - "\n", - "plt.pcolormesh(X,Y,Z)\n", - "plt.colorbar(label=r\"$c^{i1}(\\vartheta)$\")\n", - "plt.title('cross-closeness pointing downwards')\n", - "plt.xlabel(r\"Latitude $\\vartheta$ (°N)\");\n", - "plt.ylabel(r\"$Z_i$ (km)\");\n", - "plt.show()" + "plot_zonal_coupling(cross_closeness, \"cross-closeness\", \"c\")" ] }, { @@ -1110,118 +859,48 @@ "id": "c72290fc", "metadata": {}, "source": [ - "### Cross-betweenness\n", - "\n", - "In contrast to the latter two local measures, cross-betweenness $b^{ij}_w$ with $w\\in V_i \\cup V_j$ is symmetric with respect\n", - "to exchanging the involved subnetworks, but assigns a value to vertices of both subnetworks. Therefore, we will in the following analyse zonally averaged fields of cross-betweenness\n", - "$$ b^{ij}_i(\\vartheta)=\\langle b^{ij}_{w(\\vartheta,\\phi)}\\rangle_{\\phi,w\\in V_i}$$\n", - "for vertices taken from a specific isobaric subnetwork $i$." - ] - }, - { - "cell_type": "code", - "execution_count": 144, - "id": "c2094391", - "metadata": {}, - "outputs": [], - "source": [ - "# cross betweenness\n", - "\n", - "cross_betweenness_nearground_zonial = np.zeros((17,7)) # 17 levels and 7 lat values\n", - "cross_betweenness_upperlevel_zonial = np.zeros((17,7)) # 17 levels and 7 lat values\n", + "#### Cross-Betweenness\n", "\n", - "for l in range(VERTICAL_LEVELS): # loop over all vertical levels\n", - " \n", - " cb_nearground = np.array(cross_betweenness[l][0]).reshape(7,17) # near ground level, 7 lat values and 17 lon values\n", - " cb_upperlevel = np.array(cross_betweenness[l][1]).reshape(7,17) # upper level, 7 lat values and 17 lon values\n", - " \n", - " cb_nearground_zonial = cb_nearground.mean(axis=1) # average over lon with same lat\n", - " cb_upperlevel_zonial = cb_upperlevel.mean(axis=1) # average over lon with same lat\n", - " \n", - " cross_betweenness_nearground_zonial[l] = cb_nearground_zonial\n", - " cross_betweenness_upperlevel_zonial[l] = cb_upperlevel_zonial" + "In contrast to the previous two local measures, cross-betweenness $b^{ij}_w$ is defined for $w\\in V_i \\cup V_j$ and is *symmetric* w.r.t. exchanging the involved subnetworks. Therefore, in the following we analyse the zonally averaged fields of cross-betweenness\n", + "for vertices taken from a specific isobaric subnetwork $i$,\n", + "$$ b^{ij}_i(\\vartheta)=\\langle b^{ij}_{w(\\vartheta,\\phi)}\\rangle_{\\phi,w\\in V_i}\\,.$$" ] }, { "cell_type": "code", - "execution_count": 145, - "id": "ed47746e", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# heat plot for cross betweenness near ground\n", - "\n", - "lat = np.unique(coupled_network.grid_1.lat_sequence())\n", - "hgt = hgt_averaged\n", - "X,Y = np.meshgrid(lat,hgt)\n", - "Z = np.copy(cross_betweenness_nearground_zonial)\n", - "Z[Z<1] = 0\n", - "Z[Z>1] = np.log10(Z, where = np.greater(Z,np.ones(np.shape(Z))))[Z>1]\n", - "\n", - "plt.pcolormesh(X,Y,Z)\n", - "plt.colorbar(label=r\"$log_{10}(b_1^{1i})$\")\n", - "plt.title('cross-betweenness near ground')\n", - "plt.xlabel(r\"Latitude $\\vartheta$ (°N)\");\n", - "plt.ylabel(r\"$Z_i$ (km)\");\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 147, - "id": "7802ea9d", + "execution_count": 17, + "id": "80f0b4a6-4505-4e15-b3c3-63208e3f93e6", "metadata": {}, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ - "# heat plot for cross betweenness upper level component\n", - "\n", - "lat = np.unique(coupled_network.grid_1.lat_sequence())\n", - "hgt = hgt_averaged\n", - "X,Y = np.meshgrid(lat,hgt)\n", - "z = np.copy(cross_betweenness_upperlevel_zonial)\n", - "z[z<1] = 0\n", - "z[z>1] = np.log10(z, where = np.greater(z,np.ones(np.shape(z))))[z>1]\n", + "def clip_log(Z):\n", + " neg = Z <= 1\n", + " return np.where(neg, 0, np.log10(Z, where=np.logical_not(neg)))\n", "\n", - "plt.pcolormesh(X,Y,z)\n", - "plt.colorbar(label=r\"$log_{10}(b_i^{1i})$\")\n", - "plt.title('cross-betweenness upper level')\n", - "plt.xlabel(r\"Latitude $\\vartheta$ (°N)\");\n", - "plt.ylabel(r\"$Z_i$ (km)\");\n", - "plt.show()" + "plot_zonal_coupling(\n", + " cross_betweenness, \"cross-betweenness\", \"log_{10}\\,b\",\n", + " vert_labels=(\"near ground\", \"upper level\"),\n", + " vert_indices=(r\"_{\\,1}^{\\,1l}\", r\"_{\\,l}^{\\,1l}\"),\n", + " transform=clip_log)" ] } ], "metadata": { "kernelspec": { - "display_name": "my_env", + "display_name": "pyunicorn", "language": "python", - "name": "my_env" + "name": "pyunicorn" }, "language_info": { "codemirror_mode": { @@ -1233,7 +912,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.17" + "version": "3.11.7" } }, "nbformat": 4, diff --git a/examples/tutorials/EventSeriesAnalysis.ipynb b/examples/tutorials/EventSeriesAnalysis.ipynb index e8bffc12..1149e36d 100644 --- a/examples/tutorials/EventSeriesAnalysis.ipynb +++ b/examples/tutorials/EventSeriesAnalysis.ipynb @@ -13,9 +13,9 @@ "id": "efc240da", "metadata": {}, "source": [ - "Written as part of a PhD thesis in Physics by Jonathan F. Donges (donges@pik-potsdam.de) at the Potsdam Institute of Climate Impact Research (PIK) and Humboldt University Berlin,\n", + "*Originally written as part of a PhD thesis in Physics by Jonathan F. Donges (donges@pik-potsdam.de) at the Potsdam Institute of Climate Impact Research (PIK) and Humboldt University Berlin.*\n", "\n", - "Copyright 2008-2019." + "---" ] }, { @@ -23,19 +23,17 @@ "id": "f2f2eb59", "metadata": {}, "source": [ - "Synchronisation measures of time series have been attracting attention in several research areas, including climatology or neuroscience.\n", - "\n", - "Synchronisation can be understood as a measure of interdependence or strong correlation between time series. \n", - "The main use cases of synchronisation are:\n", + "synchronization measures of time series have been attracting attention in several research areas, including climatology and neuroscience.\n", + "synchronization can be understood as a measure of interdependence or strong correlation between time series. \n", + "The main use cases of synchronization are:\n", "- Quantification of similarities in phase space between two time series\n", - "- Quantification of differences in phase space between two time series\n", + "- Quantification of differences in phase space between two time series.\n", "\n", - "A research example of synchronisation phenomena is the analysis electroencephalographic (EEG) signals as a major influencing factor to understand the communication within the brain. See [Quiroga et al., 2001](https://journals.aps.org/pre/abstract/10.1103/PhysRevE.65.041903)\n", + "A research example of synchronization phenomena is the analysis of electroencephalographic (EEG) signals as a major influencing factor to understand the communication within the brain, see [Quiroga et al. (2001)](https://journals.aps.org/pre/abstract/10.1103/PhysRevE.65.041903).\n", "\n", - "Two widely accepted measurement methods of synchronisation are **Event Synchronisation (ES)** and **Event Coincidence Analysis (ECA)**. The non-linear nature of these two methods makes them widely applicable for a wide range of utilizations. \n", + "Two widely accepted measurement methods of synchronization are **Event Synchronization (ES)** and **Event Coincidence Analysis (ECA)**. The non-linear nature of these two methods makes them widely applicable for a wide range of utilizations. \n", "While ES does not include the difference in timescales when measuring synchrony, when using ECA a certain timescale has to be selected for analysis purposes.\n", - "\n", - "For more background information consult [Odenweller et al., 2020](https://journals.aps.org/pre/abstract/10.1103/PhysRevE.101.052213) or [Quiroga et al., 2001](https://www.researchgate.net/publication/11025829_Event_Synchronization_A_simple_and_fast_method_to_measure_synchronicity_and_time_delay_patterns)." + "For more background information consult [Odenweller et al. (2020)](https://journals.aps.org/pre/abstract/10.1103/PhysRevE.101.052213) and [Quiroga et al. (2001)](https://journals.aps.org/pre/abstract/10.1103/PhysRevE.66.041904)." ] }, { @@ -43,7 +41,7 @@ "id": "5424b801", "metadata": {}, "source": [ - "### Event Synchronisation (ES)" + "## Event Synchronization (ES)" ] }, { @@ -51,31 +49,28 @@ "id": "a0721685", "metadata": {}, "source": [ - "As mentioned before, the parameter free method ES offers a fast and reliable method to measure synchronizations between time series.\n", - "The fundamental idea of the method is illustrated by the picture below (from [Odenweller et al., 2020](https://journals.aps.org/pre/abstract/10.1103/PhysRevE.101.052213)):\n", - "\n", - "![Event Synchronisation](images/EventSynchronisation.png)\n", - "\n", - "Two events $l$ and $m$, from timeseries $i$ and $j$ are considered synchronous if they occur within a certain time interal $\\tau$ retrieved from the data properties. The time interval $\\tau$ is defined as:\n", + "As mentioned before, the parameter-free method ES offers a fast and reliable way to measure synchronization between time series.\n", + "The fundamental idea is illustrated by the picture below ([Odenweller et al., 2020](https://journals.aps.org/pre/abstract/10.1103/PhysRevE.101.052213)):\n", "\n", - "$$\\tau_{lm}^{ij}=\\frac{1}{2}min\\left[(t_{l+1}^{i}-t_{l}^{i}), \\; (t_{l}^{i}-t_{l-1}^{i}), \\; (t_{m+1}^{j}-t_{m}^{j}), \\; (t_{m}^{j}-t_{m-1}^{j})\\right]$$\n", + "![Event synchronization](./images/EventSynchronisation.png)\n", "\n", - "From here the occurences of synchronised events in timeseries $i$ when given an event in $j$ gives:\n", + "Two events $l$ and $m$ from timeseries $i$ and $j$, respectively, are considered synchronous if they occur within a certain time interval $\\tau$ which is determined from the data properties. The time interval $\\tau$ is defined as:\n", "\n", - "$$c(i|j)=\\sum_{l=2}^{s_i-1}\\sum_{m=2}^{s_j-1}J_{lm}^{im}$$\n", + "$$\\tau_{lm}^{ij}=\\frac{1}{2}\\min\\left\\{t_{l+1}^{i}-t_{l}^{i}, \\; t_{l}^{i}-t_{l-1}^{i}, \\; t_{m+1}^{j}-t_{m}^{j}, \\; t_{m}^{j}-t_{m-1}^{j}\\right\\}$$\n", "\n", - "whereby $J_{lm}^{im}$ counts the events that match the synchronization condition. For more detail on this, see [Odenweller et al., 2020](https://journals.aps.org/pre/abstract/10.1103/PhysRevE.101.052213).\n", + "Thus, given an event in timeseries $j$, the occurrences of synchronized events in $i$ can be counted as\n", "\n", - "Finally, we can define the strength of event synchronisation between the timeseries $i$ and $j$ by:\n", + "$$c(i|j)=\\sum_{l=2}^{s_i-1}\\sum_{m=2}^{s_j-1}J_{lm}^{ij} \\,,$$\n", "\n", - "$$Q_{ij}^{ES}=\\frac{c(i|j)+c(j|i)}{\\sqrt{(s_i-2)(s_j-2)}}$$\n", + "where $J_{lm}^{ij}$ counts the events that match the synchronization condition.\n", + "Finally, we can define the strength of event synchronization between the timeseries $i$ and $j$ by\n", "\n", - "In the usual case for which the timeseries are not fully synchronised, $0 <= Q_{ij}^{ES} <= 1$. For total or absent synchronisation $Q_{ij}^{ES} = 1$ or $Q_{ij}^{ES} = 0$, respectively. \n", + "$$Q_{ij}^{ES}=\\frac{c(i|j)+c(j|i)}{\\sqrt{(s_i-2)(s_j-2)}}\\,.$$\n", "\n", - "To generate a network from a set of timeseries, we can consider the the $Q_{ij}^{ES}$ values, as the coefficients of a square symmetric matrix $Q^{ES}$, from which an unidirected network from multivariate data can be constructed. \n", - "It is to be noted that fully synchronised time series will adapt a value of $Q_{ii}^{ES} = Q_{jj}^{ES} = 1$. \n", + "In the usual case, when the timeseries are not fully synchronized, $0 \\le Q_{ij}^{ES} \\le 1$, and total or absent synchronization correspond to $Q_{ij}^{ES} = 1$ or $Q_{ij}^{ES} = 0$, respectively.\n", + "To generate an undirected network from a set of timeseries, we can consider the values $Q_{ij}^{ES}$ as the coefficients of a square symmetric matrix $Q^{ES}$. It should be noted that fully synchronized time series will adapt a value of $Q_{ii}^{ES} = Q_{jj}^{ES} = 1$.\n", "\n", - "The advatage of ES is that no parameters, specially a delay specification of the two timeseries, has to selected a priori as the algorithm classifies two events as snychronized automatically. " + "The advantage of ES is that no parameters, such as a delay specification between the two timeseries, has to selected *a priori*." ] }, { @@ -83,7 +78,7 @@ "id": "1efab43e", "metadata": {}, "source": [ - "### Event coincidence analysis (ECA)" + "## Event Coincidence Analysis (ECA)" ] }, { @@ -91,27 +86,25 @@ "id": "fae1001e", "metadata": {}, "source": [ - "In contrary to ES, ECA is characterized by the incorporation of a *static (global) coincidence intervals*. Hereby a tolerance interval $\\Delta T$ is defined so that for events in $j$ at $t_{m}^{i}$ preceding events in $i$ at $t_{l}^{i}$ obey to $0 \\leq (t_{l}^{i} - t_{m}^{j}) \\leq $ $\\Delta T$. The fundamental idea of the method is illustrated by the picture below (from [Odenweller et al., 2020](https://journals.aps.org/pre/abstract/10.1103/PhysRevE.101.052213)):\n", + "In contrast, ECA incorporates *static (global) coincidence intervals*. For a chosen tolerance interval $\\Delta T$, an *instantaneous event coincidence* between two events $t_{m}^{j} < t_{l}^{i}$ is defined by the condition\n", + "$0 \\leq t_{l}^{i} - t_{m}^{j} \\leq \\Delta T$, and is generalized to a *lagged event coincidence* via a *time lag* $\\tau \\ge 0$ on timeseries $i$. The fundamental idea is illustrated by the picture below ([Odenweller et al., 2020](https://journals.aps.org/pre/abstract/10.1103/PhysRevE.101.052213)):\n", "\n", "![ECA](images/ECA.png)\n", "\n", - "It is to be noted, when determining the coincidence rate while performing ECA, the differentiation between *precursor* and *trigger* event coincidence rates applies. The former refers to the number of events in $i$ that precede the events in $j$. The trigger rates, on the other hand, quantify the events in $j$ that precede at least one event in $i$. \n", - "\n", - "Thus, the definition of the precursor event coincidence rate is defined as:\n", - "\n", - "$$r_p(i|j;\\Delta T,\\tau) = \\frac{1}{s_i-s_{i}^{'}}\\sum_{l=1+s_{i}^{'}}^{s_i} \\Theta \\left[\\sum_{m=1}^{s_j} 1_{[0,\\Delta T]}\\left[(t_{l}^{i}-\\tau)-t_m^j\\right]\\right]$$\n", - "\n", - "The trigger event coincidence rate on the other hand is defined as:\n", + "When computing the coincidence rate with ECA, the *precursor* and *trigger* event coincidence rates should be distinguished. The former refers to events in $i$ that precede all events in $j$, and the latter referes to events in $j$ that precede at least one event in $i$. More precisely, the precursor event coincidence rate is defined as\n", "\n", - "$$r_p(i|j;\\Delta T,\\tau)=\\frac{1}{s_i-s_{i}^{''}}\\sum_{m=1}^{s_j-s_j^{''}}\\Theta\\left[\\sum_{l=1}^{s_i} 1_{[0,\\Delta T]} \\left[(t_l^i-\\tau)-t_m^j\\right]\\right]$$\n", + "$$r_p(i|j;\\Delta T,\\tau) = \\frac{1}{s_i-s_{i}'}\\sum_{l=1+s_i'}^{s_i} \\Theta \\left[\\sum_{m=1}^{s_j} 1_{[0,\\Delta T]}\\left[(t_l^i-\\tau)-t_m^j\\right]\\right] \\,,$$\n", "\n", - "For detailed information on the calculation of e.g. $s_i^{''}$ or $s_j^{''}$, consult [Odenweller et al., 2020](https://journals.aps.org/pre/abstract/10.1103/PhysRevE.101.052213). \n", + "and the trigger event coincidence rate as\n", "\n", - "By changing the indices of the precursor and trigger rate, one gets the rate in the other directions e.g. for $r_t(i|j; \\Delta T, \\tau)$.\n", + "$$r_p(i|j;\\Delta T,\\tau)=\\frac{1}{s_j-s_j''}\\sum_{m=1}^{s_j-s_j''}\\Theta\\left[\\sum_{l=1}^{s_i} 1_{[0,\\Delta T]} \\left[(t_l^i-\\tau)-t_m^j\\right]\\right] \\,.$$\n", "\n", - "Subsequently the ECA analysis gives out four coincidence rates: the precursor and trigger rates evaluated in a bi-directional manner. \n", + "For details on the calculation of $s_i', s_j''$, consult [Odenweller et al. (2020)](https://journals.aps.org/pre/abstract/10.1103/PhysRevE.101.052213).\n", + "By changing the indices in the precursor or trigger rate, one obtains the opposite rates, e.g., $r_t(j|i; \\Delta T, \\tau)$. Therefore, the ECA yields a total of four coincidence rates.\n", "\n", - "To construct the event matrix composed by a single association measure, one can take the mean or the maximum value of the two tigger coincidence rates $r_p(i|j; \\Delta T,\\tau)$ and $r_p(j|i;\\Delta;T,\\tau)$ to compute the *degree of event synchrony* $Q_{ij}^{ECA, mean}$ or $Q_{ij}^{ECA, max}$." + "By computing the mean or the maximum of the two directed trigger coincidence rates $r_t(i|j; \\Delta T,\\tau)$ and $r_t(j|i;\\Delta;T,\\tau)$,\n", + "one arrives at the *degree of event synchrony* $Q_{ij}^{ECA, mean}$ or $Q_{ij}^{ECA, max}$,\n", + "which can be used as a statistical measure of uni- or bidirectional dependency." ] }, { @@ -119,25 +112,16 @@ "id": "8a82f258", "metadata": {}, "source": [ - "## ES and ECA analysis of simple random event series" - ] - }, - { - "cell_type": "markdown", - "id": "4dbe6d18", - "metadata": {}, - "source": [ - "`pyunicorn` provides a class for event synchronization (ES) and\n", - "event coincidence analysis (ECA). In addition, a method for the generation of\n", - "binary event series from continuous time series data (method `make_event_matrix`, is included." + "## ES/ECA for Simple Random Event Series" ] }, { + "attachments": {}, "cell_type": "markdown", - "id": "fe16ce2c", + "id": "6e06f934-ec77-4034-a57b-8da719b5bb1a", "metadata": {}, "source": [ - "First we import all necessary packages" + "`pyunicorn` provides a class for ES and ECA. In addition, a method is included for the generation of binary event series from continuous timeseries data. First, we import the necessary packages." ] }, { @@ -153,79 +137,74 @@ }, { "cell_type": "markdown", - "id": "7f2e09e3", + "id": "1274c566-566b-41a0-a7b5-5a925ce824ea", "metadata": {}, "source": [ - "Next we create a toy data example.\n", - "The data structure has to follow an event matrix style, whereby the first axis represents the timesteps and the second axis covers the variables. Each variable at a specific timestep is either '1' if an event occured or '0' if it did not, e.g. for 3 variables with 10 timesteps the\n", - "eventmatrix could look like:" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "a2c1ca5e", - "metadata": {}, - "outputs": [], - "source": [ - "series = np.array([[0, 1, 0],\n", - " [1, 0, 1],\n", - " [0, 0, 0],\n", - " [1, 0, 1],\n", - " [0, 1, 0],\n", - " [0, 0, 0],\n", - " [1, 0, 0],\n", - " [0, 0, 1],\n", - " [0, 1, 0],\n", - " [0, 0, 0]])" + "### Input: Event Matrix" ] }, { + "attachments": {}, "cell_type": "markdown", - "id": "f1991e38", + "id": "1c7c6d9c-4348-4588-af02-55b630044382", "metadata": {}, "source": [ - "Now we apply the class `EventSeries` to our data to initialize the process of synchronization analysis." + "Next, we initialize the `EventSeries` class with a toy event matrix, in which the first axis represents the timesteps and the second axis covers the variables. Each variable at a specific timestep is either `1` if an event occurred or `0` if it did not." ] }, { "cell_type": "code", - "execution_count": 7, - "id": "eeddb65f", + "execution_count": 2, + "id": "1be1ea26-cdb7-44c5-9a7f-00d1adf7dcff", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "The initialized Event Series of our example is EventSeries: 3 variables, 10 timesteps, taumax: 1.0, lag: 0.0\n" + "EventSeries: 2 variables, 10 timesteps, taumax: 1.0, lag: 0.0\n" ] } ], "source": [ + "series = np.array([[0, 0],\n", + " [1, 1],\n", + " [0, 0],\n", + " [1, 1],\n", + " [0, 0],\n", + " [0, 0],\n", + " [1, 0],\n", + " [0, 1],\n", + " [0, 0],\n", + " [0, 0]])\n", + "\n", "ev = EventSeries(series, taumax=1)\n", - "print(f\"The initialized Event Series of our example is\", ev)" + "print(ev)" ] }, { "cell_type": "markdown", - "id": "82290301", + "id": "c350db9f", "metadata": {}, "source": [ - "From here, the initialized data variables can be analyzed in terms of synchrony by applying the methods of Pyunicorn to calculate ES and ECA" + "**Caution:** The argument `taumax` represents the maximum time difference $\\Delta T$ between two events that are to be considered synchronous. For ES, using the default `taumax=np.inf` is sensible because of its dynamic coincidence interval, whereas for ECA, a finite `taumax` needs to be specified." ] }, { + "attachments": {}, "cell_type": "markdown", - "id": "c350db9f", + "id": "59b6d71d-4852-4441-8174-f57e8c500cb8", "metadata": {}, "source": [ - "Note: The argument `taumax` represents the maximum time difference between two events to be considered synchronous. Caution: For ES, using the default `taumax=np.inf` is sensible because of the intrinsic dynamic coincidence interval in ES. For ECA, `taumax` needs to be specified!" + "For variables $X,Y$, the return values of the synchronization analysis methods are:\n", + "\n", + "- ES: $\\left( Q^{ES}_{XY},\\, Q^{ES}_{YX} \\right)$\n", + "- ECA: $\\left( r_p(Y|X),\\, r_t(Y|X),\\, r_p(X|Y),\\, r_t(X|Y) \\right)$." ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 3, "id": "9295b844", "metadata": {}, "outputs": [ @@ -239,19 +218,16 @@ } ], "source": [ - "#Check for ES and ECA synchronization between two variables x and y of the generated dataset\n", - "\n", - "print(ev.event_synchronization(series[:,0], series[:, 2]))\n", - "print(ev.event_coincidence_analysis(series[:,0], series[:, 2], taumax=1)) #Taumax has to be selected when calculating ECA; taumax=1 was selected for simplicity" + "print(ev.event_synchronization(*series.T))\n", + "print(ev.event_coincidence_analysis(*series.T, taumax=1))" ] }, { "cell_type": "markdown", - "id": "5c68ceac", + "id": "43a272de-8ee9-4734-925a-a45965c70c18", "metadata": {}, "source": [ - "- The return of the ES method is [Event synchronization XY, Event synchronization YX]\n", - "- The return of the ECA methos is[ Precursor coincidence rate XY, Trigger coincidence rate XY, Precursor coincidence rate YX, Trigger coincidence rate YX]" + "### Input: Timeseries" ] }, { @@ -259,81 +235,87 @@ "id": "80260d7e", "metadata": {}, "source": [ - "If input data is not provided as an eventmatrix, the constructor tries to generate one from continuous time series data using the `make_event_matrix` method. Hereby the argument `threshold_method` needs to be specified along with the argument `threshold_values`. `threshold_method` can be 'quantile', 'value' or 1D numpy array with entries 'quantile' or 'value' for each variable. If 'value' is selected one has to specify a number lying in the range of the array; for quantile a number between 0 and 1 has to be selected as it specifies the percentage of the array's values which should be included in the event matrix. Additionally one can specify by the argument `threshold_type` if the threshold should be applied 'above' or 'below' the specified `threshold_method`. A simple example of finding the synchrony between variables x and y of a dataset reflecting continuous time series, would be:" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "56cec935", - "metadata": {}, - "outputs": [], - "source": [ - "series = 10*np.random.rand(10,3)\n", - "series = series.astype(int)\n", + "If the input data is not provided as an event matrix, the constructor tries to generate one from continuous time series data using the `make_event_matrix()` method. Therefore, the argument `threshold_method` needs to be specified along with the argument `threshold_values`. `threshold_method` can be `'quantile'`, `'value'`, or a 1D Numpy array with entries `'quantile'` or `'value'` for each variable. If `'value'` is selected, one has to specify a number lying in the range of the array; for `'quantile'`, a number between 0 and 1 has to be selected since it specifies the fraction of the array's values which should be included in the event matrix. Additionally, one can specify the argument `threshold_type`, if the threshold should be applied `'above'` or `'below'` the specified `threshold_method`.\n", "\n", - "#Initialize dataset as EventSeries\n", - "ev = EventSeries(series[:, :2], threshold_method = 'quantile', threshold_values = 0.5, threshold_types='below', taumax=1)" + "Here is a simple example for finding the synchrony between two continuous time series variables:" ] }, { "cell_type": "code", - "execution_count": 12, - "id": "08e046a8", + "execution_count": 4, + "id": "aca1e9f0-1892-42e0-ae31-13321c30589b", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "(0.42857142857142855, 0.42857142857142855)\n", - "(1.0, 1.0, 1.0, 1.0)\n" + "[[4 8]\n", + " [3 5]\n", + " [2 2]\n", + " [3 6]\n", + " [2 0]\n", + " [3 3]\n", + " [6 7]\n", + " [5 3]\n", + " [6 1]\n", + " [4 0]]\n", + "EventSeries: 2 variables, 10 timesteps, taumax: 1.0, lag: 0.0\n" ] } ], "source": [ - "#Applying ES and ECA to find synchronity between variables x and y\n", - "print(ev.event_synchronization(series[:,0], series[:, 1]))\n", - "print(ev.event_coincidence_analysis(series[:,0], series[:, 1], taumax=1))" + "series = (10 * np.random.rand(10, 2)).astype(int)\n", + "ev = EventSeries(series, threshold_method='quantile',\n", + " threshold_values=0.5, threshold_types='below', taumax=1)\n", + "print(series); print(ev)" ] }, { "cell_type": "code", - "execution_count": 13, - "id": "f6caefe2", + "execution_count": 5, + "id": "c92101e6-85e5-4dad-84c1-55a3d9331a62", "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "(1.0, 1.0)" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" + "name": "stdout", + "output_type": "stream", + "text": [ + "ES: (0.43301270189221935, 0.43301270189221935)\n", + "ECA: (1.0, 1.0, 1.0, 1.0)\n", + "ECA[p]: (1.0, 1.0)\n" + ] } ], "source": [ - "#When one just wants to get the precursor event coincidence rates; _eca_coincidence_rate method can be used\n", - "ev._eca_coincidence_rate(series[:, 0], series[:, 1], window_type = 'advanced')" + "print(\"ES:\", ev.event_synchronization(*series.T))\n", + "print(\"ECA:\", ev.event_coincidence_analysis(*series.T, taumax=1))\n", + "# only compute the precursor event coincidence rates\n", + "print(\"ECA[p]:\", ev._eca_coincidence_rate(*series.T, window_type='advanced'))" ] }, { "cell_type": "markdown", - "id": "cd2a4196", + "id": "3ad4d332-4909-4fa9-9ed7-8539decd7ff9", "metadata": {}, "source": [ - "To get the matrix to construct the functional unidirectional network described in the Introduction to ES and ECA at the beginning of the tutorial, the method `event_series_analysis` can be used. Hereby the method to anylize synchrony has to be specified by the argument `method` as *ES* or *ECA*.\n", - "\n", - "For detailed information on the calculation of the matrix and the required arguments when selecting *ES* or *ECA*, consult [pyunicorn Github](https://github.com/pik-copan/pyunicorn/blob/master/src/pyunicorn/eventseries/event_series.py)/from line 704.\n", + "### Output: Event Series Measure / Functional Network" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "8b13dcec-2393-439e-94c9-c261d489760a", + "metadata": {}, + "source": [ + "The `event_series_analysis()` method, with its argument `method` set to `ES` or `ECA`, can be used to construct a measure of dependence (*functional network*) as described in the introduction. Such matrices can then be subjected to complex network theory methods as a part of non-linear timeseries analysis, see **Tutorial: Recurrence Networks**.\n", "\n", - "The return is a NxN matrix of the chosen event series where N is the number of variables. " + "The return value is a $N\\!\\times\\! N$ matrix, where $N$ is the number of variables. For detailed information on the calculation of the matrix and the required arguments, please consult the API documentation." ] }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 6, "id": "0f5cf4b9", "metadata": {}, "outputs": [ @@ -341,27 +323,20 @@ "name": "stdout", "output_type": "stream", "text": [ - "Matrix of Es strenghts is [[0. 0.16666667]\n", - " [0.16666667 0. ]]\n", - "Matrix of ECA strengths is [[0. 0.875]\n", - " [0.875 0. ]]\n" + "ES:\n", + "[[0. 0.20412415]\n", + " [0.20412415 0. ]]\n", + "ECA:\n", + "[[0. 0.66666667]\n", + " [0.66666667 0. ]]\n" ] } ], "source": [ "matrix_ES = ev.event_series_analysis(method='ES')\n", - "print(f\"Matrix of Es strenghts is\", matrix_ES)\n", - "\n", - "matrix_ECA = ev.event_series_analysis(method='ECA', symmetrization = 'mean', window_type = 'advanced')\n", - "print(f\"Matrix of ECA strengths is\", matrix_ECA) #Symmetrization was selected according to Odenweller et al., 2020" - ] - }, - { - "cell_type": "markdown", - "id": "3cf206ad", - "metadata": {}, - "source": [ - "Approaches of complex network theory can be now applied to the matrices calculated, as part of non-linear timeseries analysis. See jupyter notebook `tutorial_recurrenceNetwork`." + "print(\"ES:\"); print(matrix_ES)\n", + "matrix_ECA = ev.event_series_analysis(method='ECA', symmetrization='mean', window_type='advanced')\n", + "print(\"ECA:\"); print(matrix_ECA)" ] }, { @@ -369,7 +344,7 @@ "id": "6376d465", "metadata": {}, "source": [ - "### Significance level calculations" + "### Significance Level Calculations" ] }, { @@ -377,57 +352,45 @@ "id": "d28b190a", "metadata": {}, "source": [ - "The signifcance levels of event synchronisation can be calculated using pyunicorn too. The package provides to methods `_empirical_percentiles` and `event_analysis_significance`, to either calcuate the p-values through a Monte Carlo approach or the signifcance levels ( 1 - p-values) through a Poisson process from an event matrix, repectively.\n", - "\n", - "For detailed information on the calculation of the significance levels consult [pyunicorn Github](https://github.com/pik-copan/pyunicorn/blob/master/src/pyunicorn/eventseries/event_series.py)/from line 830." + "The signifcance levels of event synchronization can also be calculated using `pyunicorn`. The methods `_empirical_percentiles()` and `event_analysis_significance()` respectively estimate the $p$-values via a Monte Carlo approach and the signifcance levels ($1 - p$) via a Poisson process. For detailed information please consult the API documentation." ] }, { "cell_type": "code", - "execution_count": 15, - "id": "0bf34e66", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[[0. 0.119]\n", - " [0.123 0. ]]\n", - "[[0. 0.609]\n", - " [0.609 0. ]]\n" - ] - } - ], - "source": [ - "MonteCarlo_ES = ev._empirical_percentiles(method='ES', n_surr=1000)\n", - "print(MonteCarlo_ES)\n", - "MonteCarlo_ECA = ev._empirical_percentiles(method='ECA', n_surr=1000, symmetrization = 'mean', window_type = 'advanced')\n", - "print(MonteCarlo_ECA)" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "726c572a", + "execution_count": 7, + "id": "4e4dc503-53c9-4aad-9f32-c5b05569642c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[[0. 0.12 ]\n", - " [0.112 0. ]]\n", - "[[0. 0.609]\n", - " [0.609 0. ]]\n" + "MC[ES]:\n", + "[[0. 0.2711]\n", + " [0.2691 0. ]]\n", + "MC[ECA]:\n", + "[[0. 0.2847]\n", + " [0.2847 0. ]]\n", + "Poisson[ES]:\n", + "[[0. 0.2683]\n", + " [0.2684 0. ]]\n", + "Poisson[ECA]:\n", + "[[0. 0.2941]\n", + " [0.2941 0. ]]\n" ] } ], "source": [ - "Poisson_ES = ev.event_analysis_significance(method='ES', n_surr=1000)\n", - "print(Poisson_ES)\n", - "Poisson_ECA = ev.event_analysis_significance(method='ECA', n_surr=1000, symmetrization = 'mean', window_type = 'advanced')\n", - "print(Poisson_ECA)" + "print(\"MC[ES]:\")\n", + "print(ev._empirical_percentiles(method='ES', n_surr=int(1e4)))\n", + "print(\"MC[ECA]:\")\n", + "print(ev._empirical_percentiles(method='ECA', n_surr=int(1e4),\n", + " symmetrization='mean', window_type='advanced'))\n", + "print(\"Poisson[ES]:\")\n", + "print(ev.event_analysis_significance(method='ES', n_surr=int(1e4)))\n", + "print(\"Poisson[ECA]:\")\n", + "print(ev.event_analysis_significance(method='ECA', n_surr=int(1e4),\n", + " symmetrization='mean', window_type='advanced'))" ] }, { @@ -435,43 +398,29 @@ "id": "cb3c47de", "metadata": {}, "source": [ - "## ES and ECA analysis to generate a climate network" + "## ES/ECA for Generating a Climate Network" ] }, { + "attachments": {}, "cell_type": "markdown", - "id": "8671e524", + "id": "7211ee7d-e2b3-4e6d-bf72-3b8c2dbe50fa", "metadata": {}, "source": [ - "Further application of the ES and ECA analysis is the possible generation of a climate network using the resulting ES and ECA matrices from the calculations shown above. This can be done by using the pyunicorn Class `EventSeriesClimateNetwork`. An example will be shown next. " - ] - }, - { - "cell_type": "markdown", - "id": "4befd006", - "metadata": {}, - "source": [ - "Note: If other applications of event series networks are desired, use the `EventSeries` Class together with `Network` Class" + "A possible further application of ES and ECA is the generation of climate networks from the event series measures above, and is implemented in the `EventSeriesClimateNetwork` class.\n", + "\n", + "**Note:** If more general applications of event series networks are desired, use the `EventSeries` class together with the `Network` class." ] }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 8, "id": "ea03f3ea", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "climate: Package Ngl could not be loaded. Some functionality in class MapPlots might not be available!\n" - ] - } - ], + "outputs": [], "source": [ - "#import additonal packages to generate Climate Networks \n", - "from pyunicorn.climate.eventseries_climatenetwork import EventSeriesClimateNetwork\n", - "from pyunicorn.core import Data #Encapsulates general spatio-temporal data" + "from pyunicorn.core import Data\n", + "from pyunicorn.climate.eventseries_climatenetwork import EventSeriesClimateNetwork" ] }, { @@ -479,12 +428,12 @@ "id": "c33df5f1", "metadata": {}, "source": [ - "We shall use the small test climate dataset provided by the Class `EventSeriesClimateNetwork`. See [pyunicorn Github repository describing Class EventSeriesClimateNetwork](https://github.com/pik-copan/pyunicorn/blob/master/src/pyunicorn/climate/eventseries_climatenetwork.py) for more specifications." + "We shall use the small test climate dataset provided by `Data`." ] }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 9, "id": "9b8c2e94", "metadata": {}, "outputs": [ @@ -492,12 +441,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "Information of dataset generated Data: 6 grid points, 60 measurements.\n", + "Data: 6 grid points, 60 measurements.\n", "Geographical boundaries:\n", " time lat lon\n", " min 0.0 0.00 2.50\n", " max 9.0 25.00 15.00\n", - "Observables of dataset generated [[ 0.00000000e+00 1.00000000e+00 1.22464680e-16 -1.00000000e+00\n", + "\n", + "[[ 0.00000000e+00 1.00000000e+00 1.22464680e-16 -1.00000000e+00\n", " -2.44929360e-16 1.00000000e+00]\n", " [ 3.09016994e-01 9.51056516e-01 -3.09016994e-01 -9.51056516e-01\n", " 3.09016994e-01 9.51056516e-01]\n", @@ -521,26 +471,14 @@ } ], "source": [ - "#Generate Test dataset and returns ClimateData instance for testing purposes\n", - "data = Data.SmallTestData() #Return test data set of 6 time series with 10 sampling points each\n", - "print(f\"Information of dataset generated\", data)\n", - "\n", - "#To actually print out the \"observables\" of the toy climate dataset\n", - "print(f\"Observables of dataset generated\", data.observable())" - ] - }, - { - "cell_type": "markdown", - "id": "1e90b671", - "metadata": {}, - "source": [ - "The Class `ClimateData` is applied by definition on the Test dataset for generating and analyzing complex climate networks. See [Github repository describing Class ClimateData](https://github.com/pik-copan/pyunicorn/blob/1e0eb4d8e6e4ec07254d425975b154ee1519dfe1/src/pyunicorn/climate/climate_data.py#L36). \\\n", - "**Note**: `ClimateData` Class shall be applied to a newly generated dataset of observables if not `SmallTestData()`" + "data = Data.SmallTestData()\n", + "print(data); print()\n", + "print(data.observable())" ] }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 10, "id": "e591bcf2", "metadata": {}, "outputs": [ @@ -551,7 +489,7 @@ "Extracting network adjacency matrix by thresholding...\n", "Setting area weights according to type surface ...\n", "Setting area weights according to type surface ...\n", - "The output of event series analysis is EventSeriesClimateNetwork:\n", + "EventSeriesClimateNetwork:\n", "EventSeries: 6 variables, 10 timesteps, taumax: 16.0, lag: 0.0\n", "ClimateNetwork:\n", "GeoNetwork:\n", @@ -568,17 +506,15 @@ } ], "source": [ - "#Apply the EventSeriesClimateNetwork to the toy climate data generated\n", - "climate_ES = EventSeriesClimateNetwork(data, taumax=16.0,\n", - " threshold_method='quantile', threshold_values=0.8,\n", - " threshold_types='above') #'ES' method is default\n", - "\n", - "print(f\"The output of event series analysis is\", climate_ES)" + "climate_ES = EventSeriesClimateNetwork(\n", + " data, method='ES', taumax=16.0,\n", + " threshold_method='quantile', threshold_values=0.8, threshold_types='above')\n", + "print(climate_ES)" ] }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 11, "id": "bbb03017", "metadata": {}, "outputs": [ @@ -589,7 +525,7 @@ "Extracting network adjacency matrix by thresholding...\n", "Setting area weights according to type surface ...\n", "Setting area weights according to type surface ...\n", - "The output of event series analysis is EventSeriesClimateNetwork:\n", + "EventSeriesClimateNetwork:\n", "EventSeries: 6 variables, 10 timesteps, taumax: 16.0, lag: 0.0\n", "ClimateNetwork:\n", "GeoNetwork:\n", @@ -606,20 +542,18 @@ } ], "source": [ - "#Try out for ECA analysis\n", - "climate_ECA = EventSeriesClimateNetwork(data, method = 'ECA', taumax=16.0,\n", - " threshold_method='quantile', threshold_values=0.8,\n", - " threshold_types='above') #'ES' method is default\n", - "\n", - "print(f\"The output of event series analysis is\", climate_ECA)" + "climate_ECA = EventSeriesClimateNetwork(\n", + " data, method='ECA', taumax=16.0,\n", + " threshold_method='quantile', threshold_values=0.8, threshold_types='above')\n", + "print(climate_ECA)" ] } ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "pyunicorn", "language": "python", - "name": "python3" + "name": "pyunicorn" }, "language_info": { "codemirror_mode": { @@ -631,7 +565,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.13" + "version": "3.11.7" } }, "nbformat": 4, diff --git a/examples/tutorials/RecurrenceNetworks.ipynb b/examples/tutorials/RecurrenceNetworks.ipynb index fc38938d..a73e2b1f 100644 --- a/examples/tutorials/RecurrenceNetworks.ipynb +++ b/examples/tutorials/RecurrenceNetworks.ipynb @@ -8,53 +8,64 @@ "source": [ "# Tutorial: Recurrence Networks\n", "\n", - "This tutorial aims to introduce the analysis of non-linear timeseries with a complex network approach. Its application in the __pyunicorn__ package is illustrated in two examples to help understand the basic use of the `pyunicorn.timeseries.RecurrencePlot` as well as `pyunicorn.timeseries.RecurrenceNetwork` classes." + "This tutorial introduces the analysis of non-linear timeseries via a complex network approach. The implementation of this methodology in the `pyunicorn` package is illustrated with two examples, showcasing the basic use of the classes `timeseries.Recurrence{Plot,Network}`." ] }, { - "attachments": {}, "cell_type": "markdown", - "id": "bcbb7d28", + "id": "5fb6ee17-1bb9-401a-a574-6e05565640ef", "metadata": {}, "source": [ - "## 1. Introduction\n", - "\n", - "### 1.1 Recurrence plots as an approach to analyze complex systems\n", + "## Introduction\n", "\n", - "So far, analysis of complex networks in different scientific fields, has been performed by the study of the adjacency matrix $A_{i,j}$. Recent work has been focussing on studying time series using a similar approach by tranforming the time series in a complex network and analyze the phase space and corresponding properties from the **Recurrence plot (RP)**. \n", + "### Recurrence Plots for the Analysis of Complex Systems\n", "\n", - "The recurrence matrix can be considered as the adjacency matrix of an undirected, unweighted network. With this approach it is possible to characterise the local and global properties of a network. \n", - "In particular, this approach can be applied (i) to both univariate and multivariate time series (phase space trajectories), (ii) with and without pronounced oscillatory components and (iii) with as well as without embedding. Moreover, similar to traditional Recurrence Quantitative Analysis (RQA), studying network properties for sliding windows in time also allows for coping with non-stationary time series. Consequently, unlike for most of the existing techniques, there are no fundamental restrictions with respect to its practical applicability to arbitrary time series.\n", + "So far, the analysis of complex networks in different scientific fields has been performed by studying the adjacency matrix $A_{i,j}$. Recent work has been focussing on studying time series using a similar approach, by transforming the time series into a complex network and then analyzing the phase space and its properties using the **recurrence plot (RP)**.\n", "\n", - "For more detailed background information consult [Marwan et al. (2009)](https://arxiv.org/abs/0907.3368).\n", - " \n", + "The **recurrence matrix** can be considered as the adjacency matrix of an undirected, unweighted network. With this approach, it is possible to characterise the local and global properties of a network. \n", + "In particular, it can be applied to *(i)* both univariate and multivariate time series (phase space trajectories), *(ii)* with and without pronounced oscillatory components, and *(iii)* with or without embedding. Moreover, similar to traditional **recurrence quantification analysis (RQA)**, studying network properties for sliding windows in time also allows for coping with non-stationary time series. Consequently, unlike for most of the existing techniques, there are no fundamental restrictions w.r.t. its practical applicability to arbitrary time series.\n", "\n", - "### 1.2 Visualization of a timeseries and its recurrence network\n", + "For more detailed background information, please consult [Marwan et al. (2009)](https://www.sciencedirect.com/science/article/abs/pii/S0375960109011852)." + ] + }, + { + "cell_type": "markdown", + "id": "ba9af2d3-8273-485e-9fa3-a0848b74ce9b", + "metadata": {}, + "source": [ + "### Visualization of a Timeseries and its Recurrence Network\n", "\n", - "Before we get started, we shall visualize a timeseries based on a three dimensional chaotic oscillator example described by the Lorenz system defined by:\n", + "Before we get started, we shall visualize a timeseries based on a three dimensional chaotic oscillator example described by the Lorenz system:\n", "\n", - "$$\\frac{d}{dt}(x,y,z)=(10(y-x),x(28-z)-y,xy-\\frac{8}{3}z)$$\n", + "$$\\frac{d}{dt}(x,y,z)=\\left( 10(y-x),x(28-z)-y,xy-\\frac{8}{3}z \\right) \\,.$$\n", "\n", - "The following figures graphically represents the timeseries in phase space and what its respective recurrent plot looks like. \n", + "The following figures represent the timeseries in phase space and its RP.\n", "\n", "![Recurrence Plot](images/REcurrencePlot_v2.png)\n", "\n", - "__(A)__ A state at time *i* (red dot) is recurrent at another time *j* (black dot) when the phase space trajectory visits its close neighborhood (gray circle). This is marked by value 1 in the recurrence matrix at *(i, j)*. States outside of this neighborhood (small red circle) are marked with 0 in the recurrence matrix. __(B)__ Graphical representation of the corresponding recurrence matrix (recurrence plot) and adjacency matrix (modulo main diagonal).\n", - "\n", - "For literature review and background information see [Donner et al. (2010b)](https://www.researchgate.net/publication/47557940_Recurrence-based_time_series_analysis_by_means_of_complex_networkmethods) .\n", + "__(A)__ A state at time *i* (red dot) is recurrent at another time *j* (black dot) when the phase space trajectory visits its close neighbourhood (gray circle). This is marked by value 1 in the recurrence matrix at *(i, j)*. States outside of this neighbourhood (small red circle) are marked with 0 in the recurrence matrix.\n", "\n", + "__(B)__ Graphical representation of the corresponding recurrence matrix (recurrence plot).\n", "\n", - "### 1.3 Correspondence between recurrence network and phase space measurements\n", - "\n", - "The following table shows how some of the correponding characteristics measured from a recurrence network translate into phase space features of the time series.\n", + "For literature review and background information, see [Donner et al. (2010b)](https://www.worldscientific.com/doi/abs/10.1142/S0218127411029021)." + ] + }, + { + "cell_type": "markdown", + "id": "17927a78-ff98-42c6-8d8f-ee7c81554df2", + "metadata": {}, + "source": [ + "### Correspondence Between Recurrence Networks and Phase Space Measurements\n", "\n", - "For more background information consult [Donges et al. (2012)](https://www.researchgate.net/publication/225288426_Analytical_framework_for_recurrence_network_analysis_of_time_series)\n", + "The following table shows how some of the characteristics measured from a recurrence network translate into corresponding phase space features of the time series. For more background information, consult [Donges et al. (2012)](https://journals.aps.org/pre/abstract/10.1103/PhysRevE.85.046105).\n", "\n", "\n", "| Scale | Recurrence Network | Phase space interpretation |\n", "| :--- | :--- | :--- |\n", - "| Local | Continuous local $\\epsilon$-clustering coefficient *C*
Continuous $\\epsilon$-matching index | Local dimension
Local density gradient | \n", - "| Global | Continuous $\\epsilon$-transitivity
Continuous global $\\epsilon$-clustering
| Global dimension
Average local dimension | \n" + "| Local | Continuous local $\\epsilon$-clustering coefficient | Local dimension | \n", + "| Local | Continuous $\\epsilon$-matching index | Local density gradient | \n", + "| Global | Continuous $\\epsilon$-transitivity | Global dimension | \n", + "| Global | Continuous global $\\epsilon$-clustering | Average local dimension | " ] }, { @@ -63,17 +74,15 @@ "id": "ec852748", "metadata": {}, "source": [ - "## 2. Example: Logistic Map\n", + "## Example: Logistic Map\n", "\n", - "_Calculating properties of a time series through recurrence network analysis using a toy example._\n", - "\n", - "First we import the necessary packages:" + "First, we import the necessary packages:" ] }, { "cell_type": "code", - "execution_count": 8, - "id": "b8e8e60f", + "execution_count": 1, + "id": "111c44d0-ab2b-4aca-8c96-44eb7be9fa10", "metadata": {}, "outputs": [], "source": [ @@ -81,8 +90,7 @@ "import matplotlib.pyplot as plt\n", "from tqdm.auto import tqdm\n", "\n", - "from pyunicorn.timeseries import RecurrenceNetwork\n", - "from pyunicorn.timeseries import RecurrencePlot" + "from pyunicorn.timeseries import RecurrenceNetwork, RecurrencePlot" ] }, { @@ -101,11 +109,12 @@ "metadata": {}, "outputs": [], "source": [ - "def logistic_map(x0, r, T, spinup=100):\n", + "def logistic_map(x0: float, r: float, T: int, spinup: int = 100):\n", " \"\"\"\n", " Returns a time series of length T using the logistic map\n", - " x_(n+1) = r*x_n(1-x_n) at parameter r and using the initial condition x0.\n", - "\n", + " x_(n+1) = r*x_n(1-x_n)\n", + " at parameter r and using the initial condition x0.\n", + " \n", " INPUT: x0 - Initial condition, 0 <= x0 <= 1\n", " r - Bifurcation parameter, 0 <= r <= 4\n", " T - length of the desired time series\n", @@ -115,19 +124,16 @@ " # spinup\n", " for n in range(spinup):\n", " x0 = r * x0 * (1 - x0)\n", - "\n", - " # Initialize timeSeries as python list with initial condition as first entry\n", - " timeseries = [x0]\n", - "\n", + " \n", + " timeseries = np.zeros(T + 1)\n", + " timeseries[0] = x0\n", " for n in range(T):\n", " # get current timestep value\n", " xn = timeseries[n]\n", " # calculate next timestep value\n", " xstep = r * xn * (1 - xn)\n", - " # append new timestep value to timeSeries\n", - " timeseries.append(xstep)\n", - "\n", - " return np.array(timeseries)" + " timeseries[n + 1] = xstep\n", + " return timeseries" ] }, { @@ -136,9 +142,8 @@ "id": "9c841c22", "metadata": {}, "source": [ - "After choosing the bifurcation parameter $r$, the initial value $x_0$ and the length of the timeseries $T$, we can now generate a timeseries. Play around with the parameters if you like! For an interesting regime, we should stick with $r >3.6$. \n", - "\n", - "(Note: Our logistic_map function includes a spinup of 100 timesteps by default, so the resulting timeseries will not start at $x_0$.)" + "After choosing the bifurcation parameter $r$, the initial value $x_0$ and the length of the timeseries $T$, we can now generate a timeseries. Play around with the parameters if you like! For an interesting regime, we should stick with $r >3.6$.\n", + "**Note:** Our `logistic_map()` function includes a spinup of 100 timesteps by default, so the resulting timeseries will not start at $x_0$." ] }, { @@ -149,17 +154,7 @@ "outputs": [ { "data": { - "text/plain": [ - "Text(0, 0.5, '$x_n$')" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -172,18 +167,15 @@ "# Parameters of logistic map\n", "r = 3.679 # Bifurcation parameter\n", "x0 = 0.7 # Initial value\n", - "\n", "# Length of the time series\n", "T = 200\n", - "\n", - "#Generate the timeseries\n", + "# Generate the timeseries\n", "time_series = logistic_map(x0, r, T)\n", - "\n", "# Plot the time series\n", "plt.figure(figsize=(14, 4), dpi=80)\n", - "plt.plot(time_series, \"r\")\n", + "plt.plot(time_series, \"b\")\n", "plt.xlabel(\"$n$\")\n", - "plt.ylabel(\"$x_n$\")" + "plt.ylabel(\"$x_n$\");" ] }, { @@ -192,9 +184,9 @@ "id": "ca7ab08c", "metadata": {}, "source": [ - "### 2.1 Recurrence properties under fixed recurrence threshold $\\epsilon$\n", + "### Recurrence Properties Under Fixed Recurrence Threshold $\\epsilon$\n", "\n", - "Now we can create a recurrence plot from the created time series using the RecurrenePlot Class from pyunicorn. Following [Marwan et al,. 2009](https://arxiv.org/abs/0907.3368), we choose a fixed recurrence threshold $\\epsilon$ that is 5% of the time series' standard deviation. For that purpose we set the parameter 'threshold_std'. (Note: For a one-dimensional timeseries we do not use embedding.)" + "Now we can create a RP from our time series using the `timeseries.RecurrenePlot` class. Following [Marwan et al. (2009)](https://www.sciencedirect.com/science/article/abs/pii/S0375960109011852), we choose a fixed recurrence threshold $\\epsilon$ that is 5% of the time series' standard deviation. For that purpose, we set the parameter `threshold_std`. **Note:** For a one-dimensional timeseries we do not use embedding." ] }, { @@ -214,7 +206,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -224,19 +216,15 @@ } ], "source": [ - "EPS_std = 0.05 # Fixed recurrence threshold in units of the time series' standard deviation\n", - "\n", + "# Fixed recurrence threshold in units of the time series' standard deviation\n", + "EPS_std = 0.05\n", "# Default distance metric in phase space: \"supremum\"\n", "# Can also be set to \"euclidean\" or \"manhattan\".\n", "METRIC = \"supremum\"\n", - "\n", "rp = RecurrencePlot(time_series, metric=METRIC,\n", " normalize=False, threshold_std=EPS_std)\n", - "\n", "plt.matshow(rp.recurrence_matrix())\n", - "plt.xlabel(\"$n$\")\n", - "plt.ylabel(\"$n$\")\n", - "plt.show()" + "plt.xlabel(\"$n$\"); plt.ylabel(\"$n$\");" ] }, { @@ -245,7 +233,7 @@ "id": "61d57bf6", "metadata": {}, "source": [ - "Some of the main properties of a recurrence plot can be easily extracted by applying the `rqa_summary()` method:" + "Some of the main properties of a RP can be easily extracted with the `rqa_summary()` method:" ] }, { @@ -255,15 +243,21 @@ "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'RR': 0.05061755897131259, 'DET': 0.7494577006466949, 'L': 3.971264367701975, 'LAM': 0.10958904109535426}\n" - ] + "data": { + "text/plain": [ + "{'RR': 0.05061755897131259,\n", + " 'DET': 0.7494577006466949,\n", + " 'L': 3.971264367701975,\n", + " 'LAM': 0.10953545232220277}" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "print(rp.rqa_summary())" + "rp.rqa_summary()" ] }, { @@ -272,11 +266,11 @@ "id": "8ef17b28", "metadata": {}, "source": [ - "#### Network calculation and properties\n", + "#### Network Calculation\n", "\n", - "Now we can use the recurrence properties, which mimic the phase space properties of the time series to calculate quantitative characteristics of the time series implicitly. We shall distinghuish here between local, intermediate and global properties. To construct the complex network we use the RecurrenceNetwork Class combining the RecurrencePlot and Network (see Class Network from pyunicorn/core) charactistics. For more information on the individual properties see [Donner et al. (2010a)](https://iopscience.iop.org/article/10.1088/1367-2630/12/3/033025/meta). \n", + "Now we can use the recurrence properties, which mimic the phase space properties of the original time series, to calculate quantitative characteristics of the time series implicitly. We shall distinghuish here between *local*, *intermediate* and *global* properties. In order to construct the complex network we use the `timeseries.RecurrenceNetwork` class, which combines the `timeseries.RecurrencePlot` and `core.Network` charactistics. For more information on the individual properties, see [Donner et al. (2010a)](https://iopscience.iop.org/article/10.1088/1367-2630/12/3/033025/meta). \n", "\n", - "The main focus will lie on determining the local and global clustering coefficient as well as the network transitivity. " + "Our main focus will lie on determining the local and global clustering coefficient as well as the network transitivity. " ] }, { @@ -306,17 +300,14 @@ "id": "8c74cd38", "metadata": {}, "source": [ - "##### Local scale network properties: Local Clustering Coefficient\n", - "\n", - "The local scale network properties consider only the direct neighbourhood within a defined $\\epsilon$-ball of a vertex *v*.\n", + "#### Local Clustering Coefficient\n", "\n", - "The __local clustering coefficient__ of a vertex $v$, $C_v$, characterizes the density of connections in the direct neighbourhood of this vertex in terms of the density of connections between all vertices that are incident with $v$.\n", + "The local scale network properties consider only the direct neighbourhood within a defined $\\epsilon$-ball of a vertex $v$.\n", + "A __local clustering coefficient__ $C_v$ characterizes the density of connections in the direct neighbourhood of $v$ in terms of the density of connections between all vertices that are incident with $v$. In particular, we consider the clustering coefficient by Watts and Strogatz,\n", "\n", - "We consider the clustering coefficient by Watts and Strogatz:\n", + "$$C_v=\\frac{2}{k_v(k_v-1)}N^\\Delta_v \\,,$$\n", "\n", - "$$C_v=\\frac{2}{k_v(k_v-1)}N^\\Delta_v$$\n", - "\n", - "whereby $N^\\Delta_v$ represents the number of closed triangles including vertex $v$ and $k_v$ stands for the local recurrence rate around a vertex $v$." + "where $N^\\Delta_v$ represents the number of closed triangles including vertex $v$, and $k_v$ stands for the local recurrence rate around $v$." ] }, { @@ -334,17 +325,7 @@ }, { "data": { - "text/plain": [ - "Text(0, 0.5, '$C_v$')" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -354,12 +335,11 @@ } ], "source": [ - "C_v = rn.local_clustering() #rn being the recurrence network\n", + "C_v = rn.local_clustering()\n", "\n", "plt.figure(figsize=(14, 4), dpi=80)\n", "plt.plot(C_v, \"r\")\n", - "plt.xlabel(\"$n$\")\n", - "plt.ylabel(\"$C_v$\")" + "plt.xlabel(\"$n$\"); plt.ylabel(\"$C_v$\");" ] }, { @@ -368,13 +348,12 @@ "id": "2e0821fe", "metadata": {}, "source": [ - "##### Global scale network properties: Global clustering coefficient and network transitivity\n", + "#### Global Clustering Coefficient and Network Transitivity\n", "\n", - "Global scale network properties take all vertices into account.\n", + "In contrast, global scale network properties take all vertices into account.\n", + "The __global clustering coefficient__ is defined as the average value of the clustering coefficient taken over all vertices of a network,\n", "\n", - "The __global clustering coefficient__ is considered as the average value of the clustering coefficient taken over all vertices of a network. It is calculated as\n", - "\n", - "$$C=\\frac{1}{N}\\sum_{v=1}^{N}C_v$$" + "$$C=\\frac{1}{N}\\sum_{v=1}^{N}C_v \\,.$$" ] }, { @@ -393,8 +372,7 @@ } ], "source": [ - "C = rn.global_clustering()\n", - "print(f\"C = {C}\")" + "print(f\"C = {rn.global_clustering()}\")" ] }, { @@ -403,20 +381,18 @@ "id": "6c9458f8", "metadata": {}, "source": [ - "The __transitivity__ $T$ of a network measures the probability that two neighbors (i.e. recurrences) of any state are also neighbors. It can be calculated from the link matrix $A_{i,j}$ of the network as\n", + "The __transitivity__ of a network measures the probability that two neighbours (i.e., recurrences) of any state are also neighbours. It can be calculated from the link matrix $A_{i,j}$ of the network as\n", "\n", - "$$T = \\frac{\\sum_{i,j,k=1}^N A_{i,j}A_{j,k}A_{k,i}}{\\sum_{i,j,k=1}^N A_{i,j}A_{k,i}}$$\n", + "$$T = \\frac{\\sum_{i,j,k=1}^N A_{i,j}A_{j,k}A_{k,i}}{\\sum_{i,j,k=1}^N A_{i,j}A_{k,i}}\\,,$$\n", "\n", - "where $A_{i,j} = R_{i,j} - \\delta_{i,j}$, with the recurrence matrix $R_{i,j}$ and the Kronecker-delta $\\delta_{i,j}$." + "where $A_{i,j} = R_{i,j} - \\delta_{i,j}$ with the recurrence matrix $R_{i,j}$ and the Kronecker-delta $\\delta_{i,j}$." ] }, { "cell_type": "code", "execution_count": 9, "id": "02a5687e", - "metadata": { - "scrolled": true - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -428,8 +404,7 @@ } ], "source": [ - "T = rn.transitivity()\n", - "print(f\"T = {T}\")" + "print(f\"T = {rn.transitivity()}\")" ] }, { @@ -438,7 +413,7 @@ "id": "d88f8295", "metadata": {}, "source": [ - "### 2.2 Recurrence properties under fixed recurrence rate $RR$\n", + "### Recurrence Properties Under Fixed Recurrence Rate $RR$\n", "\n", "For comparison, we now calculate the same recurrence properties using a fixed recurrence rate." ] @@ -454,12 +429,19 @@ "output_type": "stream", "text": [ "Calculating recurrence plot at fixed recurrence rate...\n", - "Calculating the supremum distance matrix...\n" + "Calculating the supremum distance matrix...\n", + "Calculating recurrence plot at fixed recurrence rate...\n", + "Calculating the supremum distance matrix...\n", + "Calculating local clustering coefficients...\n", + "Calculating global clustering coefficient (C_2)...\n", + "C = 0.7544336150477271\n", + "Calculating transitivity coefficient (C_1)...\n", + "T = 0.8005944339367739\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -467,76 +449,40 @@ "metadata": {}, "output_type": "display_data" }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Calculating recurrence plot at fixed recurrence rate...\n", - "Calculating the supremum distance matrix...\n", - "Calculating local clustering coefficients...\n" - ] - }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Calculating global clustering coefficient (C_2)...\n", - "C = 0.7544336150477271\n", - "\n", - "Calculating transitivity coefficient (C_1)...\n", - "T = 0.8005944339367739\n" - ] } ], "source": [ - "RR = 0.05 # choose fixed recurrence rate\n", - "\n", - "# Default distance metric in phase space: \"supremum\"\n", - "# Can also be set to \"euclidean\" or \"manhattan\".\n", + "# choose fixed recurrence rate\n", + "RR = 0.05\n", "METRIC = \"supremum\"\n", - "\n", "rp = RecurrencePlot(time_series, metric=METRIC,\n", " normalize=False, recurrence_rate=RR)\n", - "\n", "plt.matshow(rp.recurrence_matrix())\n", - "plt.xlabel(\"$n$\")\n", - "plt.ylabel(\"$n$\")\n", - "plt.show()\n", + "plt.xlabel(\"$n$\"); plt.ylabel(\"$n$\");\n", "\n", - "# calculate recurrence network\n", "rn = RecurrenceNetwork(time_series, metric=METRIC,\n", " normalize=False, recurrence_rate=RR)\n", - "\n", - "## Local measures: \n", - "# Local Clustering Coefficients\n", + "# Local measures: \n", + "# - Local Clustering Coefficients\n", "C_v = rn.local_clustering()\n", - "\n", - "# plot\n", "plt.figure(figsize=(14, 4), dpi=80)\n", "plt.plot(C_v, \"r\")\n", - "plt.xlabel(\"$n$\")\n", - "plt.ylabel(\"$C_v$\")\n", - "plt.show()\n", + "plt.xlabel(\"$n$\"); plt.ylabel(\"$C_v$\");\n", "\n", - "## Global measures: \n", - "# Global Clustering Coefficient\n", - "C = rn.global_clustering()\n", - "print(f\"C = {C}\")\n", - "print()\n", - "\n", - "# Transitivity\n", - "T = rn.transitivity()\n", - "print(f\"T = {T}\")" + "# Global measures:\n", + "# - Global Clustering Coefficient\n", + "print(f\"C = {rn.global_clustering()}\")\n", + "# - Transitivity\n", + "print(f\"T = {rn.transitivity()}\")" ] }, { @@ -545,62 +491,48 @@ "id": "479d003e", "metadata": {}, "source": [ - "## 3. Example: Lorenz Attractor \n", - "\n", - "_Calculating properties of a time series by recurrence network analysis using Lorenz attractor example._\n", + "## Example: Lorenz Attractor\n", "\n", - "In this example we will be using a complex chaotic system to calculate recurrence network properties from it: The Lorenz attractor. It is defined by\n", - "$$\\frac{d}{dt}(x,y,z)=\\left(10(y-x)\\right(28-z),xy-\\frac{8}{3}z)$$" + "In this example, we will be using the chaotic Lorenz system as defined in the introduction." ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 11, "id": "6178bd02", "metadata": {}, "outputs": [], "source": [ - "def Lorenz_timeseries(dt=0.01, num_steps=10000, x0=0., y0=1., z0=1.05, s=10., r=28., b=2.667, spinup=100):\n", - " \"\"\"\n", - " Given:\n", + "def Lorenz_timeseries(dt=0.01, num_steps=10000, x0=0., y0=1., z0=1.05,\n", + " s=10., r=28., b=2.667, spinup=1000):\n", + " \"\"\"\n", + " Given:\n", " dt: length of timestep\n", " num_steps: number of timesteps\n", " x0, y0, z0: initial values for timeseries\n", " s, r, b: parameters defining the lorenz attractor\n", " spinup: number of spinup-timesteps before storing results to output\n", - " Returns:\n", - " timeseries: numpy array of three dimensional timeseries on Lorenz attractor with length num_steps\n", - " \"\"\"\n", - " \n", - " # spinup\n", - " for n in range(spinup):\n", - " x0 += (s*(y0 - x0)) * dt\n", - " y0 += (r*x0 - y0 - x0*z0) * dt\n", - " z0 += (x0*y0 - b*z0) * dt\n", - "\n", - " # initialize timeseries with spun-up initial values\n", - " x = [x0]\n", - " y = [y0]\n", - " z = [z0]\n", - "\n", - " # calculate timeseries\n", - " for n in range(num_steps-1):\n", - " # get current values\n", - " xn = x[n]\n", - " yn = y[n]\n", - " zn = z[n]\n", - " # calculate next timestep values\n", - " xstep = xn + (s*(yn - xn)) * dt\n", - " ystep = yn + (r*xn - yn - xn*zn) * dt\n", - " zstep = zn + (xn*yn - b*zn) * dt\n", - " # append to timeseries\n", - " x.append(xstep)\n", - " y.append(ystep)\n", - " z.append(zstep)\n", - "\n", - " timeseries = np.transpose([x,y,z])\n", - " \n", - " return timeseries" + " Returns:\n", + " timeseries: numpy array of three dimensional timeseries on Lorenz attractor\n", + " with length num_steps\n", + " \"\"\"\n", + " # define integrator\n", + " def step(x):\n", + " v = np.array([s*(x[1] - x[0]),\n", + " r*x[0] - x[1] - x[0]*x[2],\n", + " x[0]*x[1] - b*x[2]])\n", + " return x + v * dt\n", + " # initialize\n", + " X = np.array([x0, y0, z0], dtype=np.float64)\n", + " # spinup\n", + " for n in range(spinup):\n", + " X = step(X)\n", + " # observe timeseries\n", + " timeseries = np.zeros((num_steps, len(X)))\n", + " timeseries[0] = X\n", + " for n in range(num_steps-1):\n", + " timeseries[n + 1] = step(timeseries[n])\n", + " return timeseries" ] }, { @@ -609,18 +541,18 @@ "id": "cdb6dfe6", "metadata": {}, "source": [ - "Now calculate a timeseries on the Lorenz attractor with the defined function. Try different timesteps, initial values and Lorenz parameters, or just use the default ones defined above." + "Now we calculate a timeseries on the Lorenz attractor with the defined function. Try different timesteps, initial values and Lorenz parameters, or just use the default ones defined above." ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 12, "id": "05eb6b57", "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZcAAAGnCAYAAAB7HBqgAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOydd3hUddqG7+kpk0nvvUFCSAiEGqqCoiD23te1rGtf21rW3r7VddF1RXfXVVfBir0hSO81vfdeZ1In08/3xzhjeoEAQc99XVzAzJlzTiYz5zm/tzyvRBAEARERERERkXFEerJPQERERETk14coLiIiIiIi444oLiIiIiIi444oLiIiIiIi444oLiIiIiIi444oLiIiIiIi444oLiIiIiIi444oLiIiIiIi444oLiIiIiIi444oLiIiIiIi444oLiK88847SCQSDh48eLJP5YTT1taGi4sLEomE/Pz8Qbd57rnn+OKLLwY8vnv3bp544gna2tqO70kOw+uvv84777xz0o4vIjIUoriI/Kb55JNPkEgkBAUFsXbt2kG3GU5cnnzySVFcREQGQRQXkeNOd3f3yT6FIXn//fdZsWIFV1xxBevWrTtux7HZbBgMhuO2//HEYDBgs9lO9mmInOKI4iIyao4cOcLZZ5+NRqNBrVazdOlS9u7d22cbR4ht27Zt/PGPfyQgIICwsDDn899//z0LFy7E3d0dDw8PVq5cSW5ubp99XH/99ajVamprazn//PNRq9X4+/tz3333YbVandstWbIEiUQy6J/R3M1XVVWxY8cOLr/8ci6//HLKy8vZvXt3n20kEgnd3d28++67zn1ff/31PPHEE9x///0AREdHO5+rqKhwvu72229n7dq1JCUloVKp+OGHHwB46aWXSE9Px9fXF1dXV9LS0vj0008HPcf333+f2bNn4+bmhre3N4sWLeLHH38EICoqitzcXLZt2+Y8/pIlS5yvLSsr45JLLsHHxwc3Nzfmzp3Lt99+22f/W7duRSKR8OGHH/Loo48SGhqKm5sbHR0dI75/IiLDIT/ZJyByapCbm8vChQvRaDQ88MADKBQK3nzzTZYsWcK2bduYM2dOn+3/+Mc/4u/vz2OPPeZcubz33ntcd911LF++nP/7v/9Dr9ezZs0aFixYwJEjR4iKinK+3mq1snz5cubMmcNLL73Epk2b+Nvf/kZsbCy33norAI888gg33nhjn+O+//77bNiwgYCAgBF/pg8++AB3d3fOOeccXF1diY2NZe3ataSnpzu3ee+997jxxhuZPXs2N998MwCxsbG4u7tTVFTEBx98wN///nf8/PwA8Pf3d7528+bNfPzxx9x+++34+fk5f75XXnmFc889l6uuugqTycSHH37IJZdcwjfffMPKlSudr3/yySd54oknSE9P56mnnkKpVLJv3z42b97MmWeeyerVq7njjjtQq9U88sgjAAQGBgLQ2NhIeno6er2eO++8E19fX959913OPfdcPv30Uy644II+78XTTz+NUqnkvvvuw2g0olQqR3z/RESGRRD5zfP2228LgHDgwIEhtzn//PMFpVIplJaWOh+rq6sTPDw8hEWLFg3Y14IFCwSLxeJ8vLOzU/Dy8hJuuummPvttaGgQPD09+zx+3XXXCYDw1FNP9dl2+vTpQlpa2pDnuGvXLkGhUAg33HDDyD+0IAjJycnCVVdd5fz/ww8/LPj5+Qlms7nPdu7u7sJ111034PUvvviiAAjl5eUDngMEqVQq5ObmDnhOr9f3+b/JZBKmTp0qnH766c7HiouLBalUKlxwwQWC1Wrts73NZnP+OykpSVi8ePGAY9x9990CIOzYscP5WGdnpxAdHS1ERUU597llyxYBEGJiYgacl4jIsSCGxURGxGq18uOPP3L++ecTExPjfDw4OJgrr7ySnTt3Dgij3HTTTchkMuf/N27cSFtbG1dccQUtLS3OPzKZjDlz5rBly5YBx/3DH/7Q5/8LFy6krKxs0HNsaGjg4osvJjU1lddff33EnykrK4vs7GyuuOIK52OOc9uwYcOIrx8NixcvZsqUKQMed3V1df5bp9PR3t7OwoULOXz4sPPxL774ApvNxmOPPYZU2vdrKpFIRjz2d999x+zZs1mwYIHzMbVazc0330xFRQV5eXl9tr/uuuv6nJeIyLEihsVERqS5uRm9Xs/kyZMHPJeYmIjNZqO6upqkpCTn49HR0X22Ky4uBuD0008f9BgajabP/11cXPqEmAC8vb3R6XQDXmuxWLj00kuxWq189tlnqFSqEX+m999/H3d3d2JiYigpKXEeMyoqirVr1/YJTx0t/d8DB9988w3PPPMMGRkZGI1G5+O9RaO0tBSpVDqoOI2GysrKAaFKsP++HM9PnTp1xHMVETlaRHEROS70vwt2VB+99957BAUFDdheLu/7Uey96hmJ+++/nz179rBp06Y+xQNDIQgCH3zwAd3d3YNevJuamujq6kKtVo/6HAZjsJXAjh07OPfcc1m0aBGvv/46wcHBKBQK3n777eNarTYS4qpFZLwRxUVkRPz9/XFzc6OwsHDAcwUFBUilUsLDw4fdR2xsLAABAQEsW7Zs3M7tww8/ZPXq1axevZrFixeP6jXbtm2jpqaGp556ynkn70Cn03HzzTfzxRdfcPXVVwNDh6FGE57qz/r163FxcWHDhg19Vlhvv/12n+1iY2Ox2Wzk5eWRmpo65P6GOofIyMghf1+O50VEjidizkVkRGQyGWeeeSZffvmls9QW7BVJ69atY8GCBQPCWv1Zvnw5Go2G5557DrPZPOD55ubmMZ9XTk4ON954I1dffTV33XXXqF/nCIndf//9XHzxxX3+3HTTTcTHx/dpqHR3dx+0UdLd3R1gTE2UMpkMiUTSp6S6oqJiQJPm+eefj1Qq5amnnhrQcyIIwojntmLFCvbv38+ePXucj3V3d/Ovf/2LqKioow63iYiMFnHlIuLkv//9r7MXozd33XUXzzzzDBs3bmTBggX88Y9/RC6X8+abb2I0GvnrX/864r41Gg1r1qzhmmuuYcaMGVx++eX4+/tTVVXFt99+y/z583nttdfGdL6/+93vAFi0aBHvv/9+n+fS09P7FB84MBqNrF+/njPOOAMXF5dB93vuuefyyiuv0NTUREBAAGlpaWzatImXX36ZkJAQoqOjmTNnDmlpaYC9JPryyy9HoVCwatUqp+gMxsqVK3n55Zc566yzuPLKK2lqauKf//wncXFxZGVlObeLi4vjkUce4emnn2bhwoVceOGFqFQqDhw4QEhICM8//zwAaWlprFmzhmeeeYa4uDgCAgI4/fTT+fOf/8wHH3zA2WefzZ133omPjw/vvvsu5eXlrF+/fkCRgIjIuHOyy9VETj6O8uGh/lRXVwuCIAiHDx8Wli9fLqjVasHNzU047bTThN27dw+6r6HKmrds2SIsX75c8PT0FFxcXITY2Fjh+uuvFw4ePOjc5rrrrhPc3d0HvPbxxx8Xen9kIyMjhzznt99+e9Djr1+/XgCEt956a8j3Y+vWrQIgvPLKK4IgCEJBQYGwaNEiwdXVVQD6lCU//fTTQmhoqCCVSvuUJQPCbbfdNuj+33rrLSE+Pl5QqVRCQkKC8Pbbbw/42Rz897//FaZPny6oVCrB29tbWLx4sbBx40bn8w0NDcLKlSsFDw8PAehTllxaWipcfPHFgpeXl+Di4iLMnj1b+Oabb/rs31GK/Mknnwz5foiIHA0SQei1xhYRERERERkHxLWxiIiIiMi4I4qLiIiIiMi4I4qLiIiIiMi4I4qLiIiIiMi4I4qLiIiIiMi4I4qLiIiIiMi4I4qLiIiIiMi4I4qLiIiIiMi4I4qLiIiIiMi4I4qLiIiIiMi4I4qLiIiIiMi4I4qLiIiIiMi4I4qLiIiIiMi4I4qLiIiIiMi4I4qLiIiIiMi4I4qLiIiIiMi4I4qLiIiIiMi4I4qLiIiIiMi4I4qLiIiIiMi4I4qLiIiIiMi4I4qLiIiIiMi4I4qLiIiIiMi4I4qLiIiIiMi4I4qLiIiIiMi4I4qLiIiIiMi4I4qLiIiIiMi4I4qLiIiIiMi4I4qLiIiIiMi4I4qLiIiIiMi4I4qLiIiIiMi4I4qLiIiIiMi4I4qLiIiIiMi4I4qLiIiIiMi4I4qLiIiIiMi4Iz/ZJyDy20MQBKxWKxKJBKlUikQiOdmnJCIiMs6I4iJyQrFarZjNZvR6PVKpFKlUikKhQCaTIZfLkUgkotiIiPwKEMVF5IQgCAIWiwWLxYIgCM4Vi9VqxWKxIJFI0Ol0qNVqPDw8kMvlyGQyUWxERE5RRHEROe7YbDbMZjM2mw3AKRiOlQvYxae6upqAgIA+KxiZTOZc2chkMuf2IiIiExtRXESOG4IgOIVFEASnYNhsNiQSifMx6Cs4CoUCQRCcqx2z2SyKjYjIKYYoLiLHBUEQMJvNWK1WgAHhrd7C4qD3/3uLjWP73mIDIJVKkcvlzhCaKDYiIhMHUVxExh3HasVqtY65GkwQhEEfH0pszGYzJpPJ+bwoNiIiEwNRXETGDUeJscViwWazjVlYHKGy0W7bX2wcouZY2fQXG0cuR0RE5PgjiovIuNA/DHY0/SvHcuF35GN6n49DbAZb2fSuRhMRERl/RHEROWYcvStHs1rpz2hXLiMxGrGRSqUDCgREsRERGR9EcRE5aobqXRmJobYZS1hsrIxWbPrnbESxERE5OkRxETkqbDYbFovlqMNgg217Ii/kvcXGIWg2mw2TyYTRaBTFRkTkGBHFRWRMDNW7MhbMZjN1dXV4eHjg4eExoET5ROM4vig2IiLjhyguIqPGEQYrLCxEEATi4+PHfHFta2sjMzMTqVSKwWBAIpHg5eWFt7e3s8rsZDOY2Dj+GI1GTCYTMHifjSg2IiJ2RHERGRW9e1ccOZax9q9UVFRQXFxMfHw8wcHBCIJAd3c3Op2O1tZWdDodbW1tdHd34+3tjbe3N66urif9gt17dSaTyQaITVtbG83NzURHR/cx4RQdn0V+y4jiIjIsg/WuSKVSLBbLqPdhMpnIysqiu7ub2bNn4+np6UyiazQaNBoNkZGR5ObmIpVKcXFxobGxkeLiYuRyuVNoHGJzsukvNl1dXTQ0NBAVFYXBYHBu47CycaxsRLER+S0hiovIkAzVuyKVSkedG2ltbSUrKwtvb2/S09OdvmGDIZVKUalUREdHEx0djdVqpb29HZ1OR319PYWFhahUqj5io1Kpxu3nPVp6+571X9n0FhvHikYUG5HfAqK4iAyKI5k9WO/KaEqGbTYbpaWlVFRUMHnyZMLDw8d8IZXJZPj4+ODj4wOAxWJxik11dTV5eXm4ubk5hcbLywulUjn2H/YY6f9eDBVGs9lsotiI/GYQxUWkD44wmKMabLAL3kjiYjAYyMzMxGQyMXfuXDw8PEZ17JH2K5fL8fX1xdfXF7BXnbW1taHT6SgvL6e7uxu1Wt1HbOTyk/8RH05sjEYjBoPBGW4UxUbk18LJ/+aJTBhGa+HisM0fjKamJrKzswkICCAtLW1MF/exNlEqFAr8/f3x9/cH7LkdnU6HTqejpKQEvV6Ph4dHH7Hp3Uh5shjMIdoh6lartU/pszilU+RURRQXEYA+q5WRLmKDiYDNZqOoqIjq6mqSkpIICQkZ8zkc64VTqVQSGBhIYGAgYF9BOSrQCgoKMJlMaDQap9hoNJpxE5tj9UUbzPG595TOwcJootiITGREcfmN09vCBQbeVQ9Gf3HR6/VkZmZis9lIT0/H3d39mM5nvHBxcSE4ONhZ9uwQG51OR11dHRaLBU9PT6fYeHh4TAiL/pFm2QwlNhPh3EVEHIji8hum//jh0V6celeL1dfXk5ubS0hICJMnTx71SmCw1c/xvAuXSCS4urri6upKSEgIgiCg1+udYlNdXY3NZsPLy8vZ1NnfPWAojrerwFjERpzSKTJREMXlN0hvC5ejnbtis9nIycmhsbGR5ORkZyjqWBgulzPeSCQS3N3dcXd3JywsDEEQ6OrqchYIVFRU9HEP8Pb2xt3dfUKEocQpnSKnAqK4/MYYj7krjq50q9VKenr6uDY2ngxvMbBfsB1eZ+Hh4dhsNrq6upzuAaWlpchksgENnY737mSKzkhTOkEUG5ETjyguvyGOZfww2C9atbW1lJWVoVQqmT179rheoCbCqsCBVCrt4x5gs9no6OhAp9PR2NhIUVERSqUSb29vFArFhPBEcyBO6RSZCIji8hvgWMcPg72BMTc3l9bWViIjI9HpdMflzvdkrVxGQiqVOvMx/d0DmpubMRgM7N69e8K5B8DIs2xaW1tRKBT4+fmJUzpFxg1RXH7ljEcYrL29nczMTFxdXZk/fz46nQ6tVjvu53o8h4WNN73dA7y8vCgqKmLSpEkTzj1gMPqLjVarxcXFpY/nmzilU+RYEcXlV8yxjh8WBIGqqiqKioqIiYkhJibGGXI5HiJwKolLfyQSySnpHgA4nRgc5yNO6RQZDybGp1tkXHFUDhUVFSGXy4mMjBzzhcBkMpGTk0NHRwczZ87E29vb+dypLAIniuHcA4qLi+np6Zkw7gEOcXEgTukUGQ9EcfmV0bvE2Gg0YrVax/yl1+l0ZGZm4uHhQXp6+oBwzniIy2CvP5VFa6T3eCj3AJ1Od9zdA0ZiuNk84pROkaNFFJdfCYONH5ZKpWOqYhIEgbKyMsrKyoiPjx9yxXOsIlBbW0t+fj5KpRIfHx/nBfW3dDGaSO4BYxn8NpzYiFM6RXojisuvgP5J+96lqI7HRsJoNJKVlUVPT49zoNdQHK24WK1W8vLyaGpqYsqUKQiCQFtbG+Xl5eTk5KBUKpHJZLS2tuLp6TlhchLHm5HcA6qqqhAEoU9Dp1qtHreL9VinivY/d2DQWTb9xUac0vnb4rfx7f0VM1zvymg73ltaWsjKysLHx4fp06ePeFE/mk76rq4uMjIyUCgUpKenI5PJsNlsBAQEAPacRHFxMe3t7RQWFmI0Gp1hIh8fHzQazYRt+hvvUN5Q7gEOE87y8vJxdQ84FnEZ7NwHGy/Qf3CaOKXz148oLqcoo+ldGWlipM1mo6SkhMrKShISEggLCxvVF3ysK5fa2lry8vKIiIggPj4eiUTibOZzoFQq0Wg02Gw2kpOT6enpcZY819bWYrVanRdTHx+fcb1zn+j0dg+IiIgYs3vASIynuAx27qMRG3Fw2q8PUVxOQcZj7kpPTw+ZmZlYLJYxDfRyHG804mK1WsnPz6exsZHU1FRn5dRwr3U81z9M1N3d7QwTOXy/el9M3dzcTroFy4liLO4Bjkq04Sx6jqe49GcosRGndP76EMXlFGMsvStDiYBjoFdgYCCJiYljrkoazcrFEQaTy+Wj9h8bar8SiQS1Wo1arXb6fnV2dqLT6WhqaqKkpASFQuG8mPr4+EyY7vgTwXDuAbW1tRQUFKBSqYZ0DziR4tKf4cRGnNJ5aiOKyylC77krQ40f7k//ajGbzUZhYSG1tbUkJSURHBx8VOcykrjU1dWRm5vrDIONNlcy2ouFVCrF09MTT09PoqKiBlxM8/Pz+3THO/y/fiv0dg8Au3VPW1sbbW1tg7oHHE25+vGi/zyh4aZ0imIzsRHF5RTAZrNhsVjGbOHSOyzW3d1NZmYmAPPmzTumgV5DiUvvMNi0adOcyfqxcDTJ8f4X0/7d8Tk5Oce1YXGi9+bI5XL8/Pzw8/MDBncPKCkpob29fcK5Bwzl+NxfbMxmM66urqhUKnFK5wRhYnyCRAZlsN6VsXxhHGExx0oiLCyMyZMnH3PV1WC5nO7ubjIyMpDJZCOGwYb6OcaribJ/d7zRaHTma3pXojl6bCZyJdrxoP/7s3fvXvz8/LBYLBQXF2MwGJxi7Ai3nSz3gP4MJTaHDx8mPj7e2S8ljoQ++YjiMkE5mvHDg9HZ2Ul+fv5RryQGo78IOMQrPDycSZMmHfWF+nh9+VUqFUFBQQQFBSEIgrMSTafTUVNT45xAeSw9JKf6hcvb29vpizaSe4Cnp+eEEePeXneOPilxSufEQBSXCUjv3pXed2ljobOzk+LiYqxWKwsWLBjXgV6O87FYLBQWFtLQ0DBu4nUiRga7ubnh5uZGaGiosxJNq9U6w0SOBLljZTOWst5Tkf4J/f7uAT09Pc4w2ol2DxgtvQtcBlvZ9BcbcXDa8UcUlwnEeMxdEQSBmpoaCgoK8PPzQ6/Xj6uwwC936fv27UMqlY7bNMqT4S3WuxLN0UPS2dmJVqsdtKz311iJNpK3mEOMT4Z7wGhxfF8GO//BxEac0nn8EcVlgjAec1fMZjO5ubnodDpmzJiB1WqlqKho3M+1qakJsIdSEhISxu2LOBFWB70r0XqX9Wq1WmpqavpUojlmuUz0hP5I9HdFHo7h3AMcK7/xdA8YLUOJy2DnP5zYiCub8UMUlwmAw2H2aFcrYB/olZGRgZubG+np6ahUKlpaWsb1wme1WikoKKC+vh7guORXJtqFerhKtNLSUvR6PS4uLthsNlpbWydU8nu0HKu32GDuAVqtlpaWlmN2Dxjt+Y9FIPuff3+xEUdCjw+iuJxEHBYY3d3duLm5HXUYrLKykqKiIuLi4oiOjnbu42g8wIbCUcoskUiYM2cOu3btOqZ9n6qW+4NVolVWVtLQ0OBMfvfOR5wKlWjj2UTZ2z0gKipqRPcAb29vXFxcjumYjs/heLzPjuS/g6EGp4lTOkdGFJeThGMpXl9fT3V1NXPmzBnzB9RkMpGdnU1nZyezZs3qM9ALRm/TMhINDQ3k5OQQGhrK5MmT+/wM48mp+AVVqVR4eXnR0dFBWlracalEO94czw790bgHuLi49HmPxprTGk9x6Y8oNkePKC4ngd4WLg534LF+GLVaLZmZmXh5eTF//vxBO9DHOs+lPzabjYKCAurq6khOTnYOunKIyvFYZUz0lctwDFaJ1j8fIZVKj2uI6Gg4kfYvQ7kH6HS6Qd0DRuOu4PiMn4ifobfY9J5lI46EHogoLieQ/r0rDs+ksQ70Ki0tpby8nEmTJhERETFspc/RioterycjIwOA9PR03NzcBj2X8eRUCIuNhcHyEYOFiHoPTDsZlWgn01tsJPeAnJwc1Gp1H3eF/u4BjpuzEx1+7O2JBuKUzv6I4nKC6D1+GH5Zwo9FXAwGA1lZWRgMBubMmYNGoxl2+6MNi/UPg/X/0vZuXDsajEYjubm52Gw254X1ZLsaHwujfR8GCxENdtfueE+8vLxOiCfayRSX/vTPaZlMJufKr797gKOhc7SVYseb4cTmtzilUxSX40zvGO1g1WCOsNhINDc3k52djZ+fHzNmzBiV99NYV0W9jS2nTp1KUFDQkNserbjodDoyMjLw9PTEw8OD5uZmp6uxm5sbZrMZo9H4q+slGQyZTIavr6+zM95x167Vap2VaB4eHk6x8fT0HPdKNEel1US9uCmVSgIDA50h2d7uAfn5+ZhMJtzd3bHZbOh0ugnnHgC/3SmdorgcR0bTuzKSANhsNoqLi6mqqmLKlCmEhoaO+vgOARjNxWM0YbDB9j1aBEGgoqKCkpISJk2aRHBwMDabrU+St66uDrPZzK5du3B3d+9zBz9RjBSHYjwuBoNVojmcAxwXUkclmo+Pz7h2xp8qF7PB3APq6urQ6/Xk5uZOSPcAB0ONF+g9OK2uro6AgADUavUp7/g8sb+xpzDDjR/uzXDiotfryczMxGazMW/ePNRq9ZjOoXft/nAfzsbGRrKzswkJCRl1U+RYxMVsNpOdnU1HRwezZs3Cy8vL6UIAvyR5JRIJnZ2dzJw50zmF0hEK+S0aTapUqgEXUsf70r8SzcfH56iaFU9kMny8cRRQ+Pr60tTUxLx58yake8BQDCY2lZWVeHl5DRgJvX79embMmEFqaupJPOOxIYrLODNWC5ehxMWR9wgODiYhIeGowiGO4w4Vkx5LGGywfY8m5NbR0dGnuVOpVA67vSAIKBQKAgICnF5lQ11UHWJzIjrARzrn481wlWharZaysrI+zYo+Pj6jsuRxnPtEueAeDb2/Z6NxD+hdHHCyPzu9cXynFAoFCoWiz8rmjTfe4M477xTF5bfK0Vi4OMTFsbqwWq0UFhZSV1c35gv+YPt2nFd/HKsiQRCOar7LSMUCgiA4B3fFxMQQExMz4nsx1Gqo/8jj/vPj5XK584L6a/T+GozhKtEaGhooKioadvqkg1+TuPRnsPfIMcHUkeuTy+V9VjYnszTcZrM52xMc5+84l+7u7jFHLk42oriME2MZP9yb3gLg6IJ3mEGOlPcY7b77rzAcYbBjXRUNJS5Wq5Xc3FxaWlqYMWOGM2Hd//WjeWywbfpfMBzeX72nUPYu753o+ZrxYDSVaO7u7n3ERi6X/6rFpT/9J5ieCPeAsdA7TNwbx7XBw8PjhJ3LePDr/9YdZwbrXRnLF9XxpXB0Kx/rTJTeOM6jd0nkeIw5dux7MHHp7u7myJEjKBQK0tPTx/zlHGuIqXdTIgysuOrp6RlQcfVbyNcMVonmCA/1fl8c5ey975hPNY62FHm07gGOENrx7kNyRDwG+z3o9Xpx5fJbon/vSu9l7Fj2AVBUVERqaqqzUmg8cJyPzWajp6eHjIwMZ3HAsYw5duy7vxA48kRhYWFHJZDj0UTZv+LKUbqq1Wqds0h65yXGK+Y+0e/8++exHO9LS0sLALt27epTNDGRqqxGYrz6XIZzD6iqqnKu/nqH0cazD2m44p/u7u5j/s6eaERxOQqOdfywg46ODudc+5kzZ+Lp6Tnep4pUKnXGl4OCgo46DNaf3gn93iui3jYxw+FIVPbf53jTv3S1u7vbKTYOOxbHBdXHx+eowiCnoquA433x8vKiubmZWbNmDaiy6h0emkiJ7/4crybK8XAPGAsOcRnscXHl8hugf9L+aIRFEASqq6spLCwkOjramVgcbxwJwqKiIpKSkggJCRm3fTtWGb1XROORJzqeF2qJ5JfBYOHh4c6Yu1arpb6+nsLCQlxcXPrka05Eh/zJxGFVP1iVlVardRZNOCrRek/nnCicqA79wfqQHGIzlHvAWG7krFbroNt3d3cDiDmXXzOj7V0ZDrPZTE5ODm1tbaSlpeHj40N5efm4WeM7aNJ1kpmVTbcZkqYm4ublT5ve7Hy+96lLnI9JUKtGZ0UhlUppb28nOzubwMBAEhMTj3lFdKLvjHvH3OGXMIhjVZOTk3PcO+RPNoP1QPUumoiMjBxUhB2VaI73ZqQS8+PJybJ/UalUI7oHeHp6OsNoI+X7hhIXvV4PIK5cfo2Mx/hhgLa2NjIzM1Gr1cyfP9/5hTx292KB4uZuNuY38Z+dFfSYe+9LBgcKgIIx7XNxvC/nTgtmWqiGMO++5ZkO+4ry8nKSkpLG5BowHCfbuLJ/GMRoNDpDaHl5ec7ub0dcfiI15B0to3FvGEyEHRV6lZWV5ObmOivRHNM5T2SF3kTxFhvMPcAhNrW1tVit1mHdA4ZbuSiVylNuFS2Kywg4rBkcH+CjHejlsD6Ji4sjKiqqzz7GKi56k5Ws2na+ymxg/ZE65+MeKjkXT/EgStbGaTPtVjHbtm0jOTnZmaQcDptNoFKrJ6u2g6+zGrj305w+z8+O8ubcZH9cu+pQmMzEx8eNm7A4mEj5C5VKRVBQEEFBQX1mx2u1WioqKpyVasd6c3AyORpfMblc3qcSzWQyjWt4aKxMFHHpzWBNryO5B1gslkHfp66urgmd8xoKUVyGwdG7snPnTqZMmeK8ox0LJpOJrKwsuru7ndYn/Rnp4tTcaeRAZRsfH6plT5nW+XhCkJrnz5/C/FgfNAqBzMxMmroMmDzjeT9HjzmzkJpaK983V6JUNSIIYBMEbDYBm+Pfzr8FVHIpkwLUJAZ78NcLk/BxVyIIAo0dRrJqO/jsUBWPfl3kOGvYXcb08FbuOj2WOVHeSKXH9uGfyF+e/t3fjoY8rVZLQ0MDPT097N69u0++5mSGikbLeJhWKpXKQSvRdDpdnxWfY2WjVqvHVQyOdsTxiWQ07gGCICCXy6mpqenjFO4Ql1MNUVwGoXfviuODezR3pq2trWRlZeHt7U16evqQy9qhnJHLWrq56M396E324oGlCf6suXIaaRFeeLra7SHKW/V8e7iCrbk1GCVK/Lw1yFo7iPJ1QymXoZJLkEsldBstNHWaaO4y0tRppNto36dCJiFQ40KMnxvBGheaOo3Utxv4IqOe9h4zCpmUOH93/OQGFnnqeOD6OKKjoti8ax8dMi+2VJm4/t3DAJyZ6M+9Z8QT5Xv0Sf2JtHIZjt4NeSqVioaGBiIjI/uEitRqdR/zzYmYrzkejsj9w0P979iBPnfsx3pXbrVaT7lG2cGagUtKSvq4B0gkEtasWYOvr+9x/fleeOEFHnroIe666y5Wr14NwJIlS9i2bVuf7W655RbeeOONUe/31PqNnABsNhsWi6WPhctobfEdCIJASUkJFRUVTJ48mfDw8DH5i1Vp9Vz534M0d5q4cHowj5w9GbVKjtUmUNDQyRcZ9RypbqfLaEZlM1Kn6yJPJwFM0NjSd98SUMm1BGpcCNSoSAnVEOjhQpBGhUohpaXLRHOnkYpWPZ9l1NHeY+nzejeljKI6LRq5DT8fb7btbofdmShMJlLCzdx3RhyvXJpMZk0HT3yTz/JXdwNwx2kxXDMnHE/XwQV1qA79U0Vc+iORSAaEihwhtIKCAmdy15Gv8fDwmBArtaOZgjoWBrtjd1iw9Lfv6W3BMhYmYlhsrDhmvGg0GhITE7HZbDQ0NBAREcH3339PVVUVkZGRnH766Zx++umsWrVqwFjzo+HAgQO8+eabpKSkDHjupptu4qmnnnL+f6yVoKK4/MxwvSsymcwpNiNhMBjIzMzEZDIxd+7cUZUPOnpGatt6+P17Ryhv0bN8SgDPnjcFlVzKZ0fq2F7SisVqI9bfHblUSo/JzI4SR4hMwh8XR7M0wR9fdyXebgpcFPa75D179hAdHT0mjzKD2Updu4GSOi2bjpSQo4UcrQDaNuc2kRoZFqme4vYy2nrMLI7347/XzkCtkrOpoJl7P83mH1vKAFh9aTLLEvxRyIa/APR2FJgIF95jofcckv6Oxo679/4mkyfjZz7R77VEIkGj0aDRaJyVaI6u+N6VaGMJL54KYbHR0NslQSqVEhISwl//+leSk5NZt24dTzzxBJs3b2bNmjWkpqYes7h0dXVx1VVX8e9//5tnnnlmwPNubm7H5G0oigsDLVz6965IpdJRiUtTUxPZ2dkEBASQlpY26qVsu0nCLetLKWw2MD/Wh3U3zETjIufLrAa+zKwn3t+dKUEefJ3dwLbiVgBC3OHP6V5cfto0XJVDV5FYBAnVOgMVPVrq2w3Utxto6jThppThr1bip1bhp1Y6/3i52oVJadAhaSzg5vnRxMbGOt+P9h4z24tb+c/WAraUdQKdxPi5kVvXwZ4yLVIJLE8K5PDDp2G22nhvXzV3f5wNQGKQmmfPm0JikJri4mI6Ojrw9fWd8E16o2G4cx8suevI1/Qelta7mfNE5WtOtpD3t+/p3RXfO7w40pjjX4O4DBXe0+v1aDQali1bxrJly8bteLfddhsrV65k2bJlg4rL2rVref/99wkKCmLVqlX85S9/GdPq5TcvLr17VxyzE/ozUljM0ahYXV09pmbFpk4j96/PYW95Fwn+Lmy/dyH+aiXf5TbyyaFaAjxUFDV2sa9ch0Im4fxpwdw8XY17TyPJSVOcF6q8+g7KW/TUtxto6DDS0GHAYrWHl7o6DIT7tRIfIiHYy4X0GF8CPFT0mK00dxlp6TJR2NjFrlL7v9v0Jjo7OzEa7WGcIL0Jv8pSUkI9mRPljaerglUpQYRZ6/Hw9KJF4slHB2v5LKMesIfRLDaBLzLq8VMrWZUSRN7jS6lrN/Dij8Vc+OZ+AG5OVnBOclCf0IjDocBoNJ5Qw8ATTe+796ioKKenlVar7WMyeSKGpZ1scelP/3JwRyVa79k+/XuPhupsP9WwWq2D3lQcD+uXDz/8kMOHD3PgwIFBn7/yyiuJjIwkJCSErKwsHnzwQQoLC/nss89GfYzfrLiMpXdluJVLb+v69PT0UX0ItN0mHv0qn58Kmonzd+fVMzyZHOZPVm07a/fX4OkqZ2+5DoALUoO5bGYok/1UZGdlYTabSU2fR7NBwqubSzlc3U5SsAeTAtWkhHmy3NOFQA8VSrn9y3bw4EECAvyJiIgYcB6x/n3Ptbu7m4yMDGQyJamps1EoVej0Jpo6jRypbueRr/IwmG2khGrwt1mYoRGYG+PD3GgfXr54KmUtetbur2bt/hrnPqu0Pfx7ZyWTA9VcMc2H8/xbyO12558HO/lXdjX/uCSJhcnJtLe3O32udu/e7bxbdfRNTMRkuINjzRP197RymEwONixtvCdQTjRx6c9glWiO6ZwOrzjHmGC1Wj1hcllHw1B9Ll1dXePaQFldXc1dd93Fxo0bh7yJu/nmm53/Tk5OJjg4mKVLl1JaWkpsbOyojiMRTtUM6jEwVguXnJwcVCoV8fHxfR6vr68nNzd3TBMc1+6r5qnvCgn2VPHWNTOI8XPj3R8PsKHCTGKYr/PC/Pz5U7ggNRiJREJLSwtZWVnI1T6UWbzYUaoj1MuFc1OCmRHuOWwJ8OHDh/H19SUyMnLY83KYToaGhjJ58uQhfxaz1WYvS96VR2WngJ+XhrnR3syP8yXc+5dErE5v4t091azZXg5AmEaBl8yE0tWdGxbGsWSSLx/sr+LZDaUA/PvKZNLC1OzYsYP09HTnnbxWq8VsNk/o5sXa2lqam5uP2yCnnp4e5wVVp9Nhs9n65GscJatHQ1NTE5WVlcyaNWucz/r446hEy8zMRKFQ0NPTA9BnkNyxvDcnmoyMDPz9/Qf0jj344INIpVJee+21cTnOF198wQUXXNBHyHpHboxG4wCRc8yT+eGHH1i+fPmojvObW7nYbDZMJtOYOu37r1ysVisFBQU0NDSMyajxkS/zWX+kjo9vmsW0ME/2lWt5YUMR7jYzVpvA2v01nJMcyAsXJKGQ2SvIsvML+eZINaUmDzzVMlYku7FmdoRzZTISI02MdIT0ampqRjWcTCGTkhbhhaJNjbu7O/4hEeyr0PGfnRXUtBkI93ZlQZwPi+P9uHtpLLctimD9tgzWHGonp0NCOAI/5DWy7kA1l80I4shDC1m7v5ab1tnzMndPhUVy+YBkuENoejcvOsRmIoTQjucFzNXVldDQ0D4TKHv7fsnl8j75mrHYwk/0lctwOCrR5HI50dHR+Pr6Dshl9a5EmyiflaEYzv5lNNeY0bJ06VKys7P7PPa73/2OhIQEHnzwwUHPISMjA2BMYzp+M+LiCIM5qsHG0mnfu1qsq6uLjIwM5HI56enpoyqbtFhtXPDmfooau9hx30L0Jiu3rssgzNuVaF833t3bilop5ae75xPm7YrVJvBTbj1rdxXSbbSxKi2GO2ZE4uEy9l/XcBMjDQYDGRkZWK3WMdvwO0RL46rgjMQAzki0hy2qtHq2FLZw0/sZpIa4ES9tIkbjwo93L6S208Kz3xXyTXYjKrkUN4WUjw43cNXMEA7/eQH/3lnJ6p3VrM7Zzce/n0FikLpPMtzRvNjf58rV1fU3Mxysv++X1Wp1vh+OYWmDDQUbilNZXBz0vlHsncvqXYlWV1fnNCbt/d5MpEbX4exfxjMs5uHhwdSpU/s85u7ujq+vL1OnTqW0tJR169axYsUKfH19ycrK4p577mHRokWDliwPxa/3W9iLoxk/3BuZTIbRaKSmpob8/HwiIyOJi4sbVRisy2gh7bmtABx+eAkFjV28srmUOVHevPpzqe4D6d6kR7gR5u1KSVMXT32dS7Csi2tSfFg4M/mYLpZDrVwcoTZ/f3+mTJky5pzGUD0pET5uXDcvgjOjFHyyI4dPO9wI9HXDNdRIcqiGt66dQWuXif/7sYgvMxsAey/OuoN1XJEWxN/mWMgmgkvfOoxMAutvSuuTGxrM58qRnygpKTmu+YmJiMOteDTD0nx8fNBoNH3ej1+TuPSndyVaTEzMUVWinUhOlLiMhFKpZNOmTaxevZru7m7Cw8O56KKLePTRR8e0n1+9uBzt+OH+aLVaWlpamD59+qhtYBraDSx+eSeTA9V8dstsfsxv5oMD1TR1mnh1SxlXzw7jnmVx1JSXYLJYWbOtjAMlDawK7GZeaiKhoaHH/MXvv3IRBIHS0lLKy8tJTEwkLCxsXPbroHeY7bLFKdwZGEiVVs/a/TW8uqWU86YFc2ZiAC+cP4U/L4vmP3tqeGt3NQCdRgvmbim3LdNw2+Jo/vZTOef/6xCTA9x5+5ppg67c5HJ5Hxv03v0k1dX2/Tpi8Mern2QipS0HG5bmyNdkZ2djs9mc3fE+Pj6/ijLe0f4Mg1WiOfJYvQsnenuincj35mSKy9atW53/Dg8PH9CdfzT8asXlWMcPO+jo6HCazC1YsGDU8ezcug4ufHM/F00P4dnzEvnPrkoOVOjYX9GGr7uSz/8wmynB9hGzFW0W3jrUyvwQOdfHW5k+fXTNl6Ohd/e/w+dMr9czZ84c54jbo2GwlYvRaCQjIwOz2dwnzBbh48ZDZ02i22jhy8wGblmbwYwITy5M8efu06K5Y3EUHx2q4/kfSwEpb+2t5cMjjVw/N4zbF0dyzbsZpP9tN8+dO5lVycPHnl1dXXF1dSUkJKRPP0lTUxPFxcXOBj1HGO1Uc5odKy4uLoSEhDjfj+7ubqfYlJfbiy1kMhl1dXUTPicxFEcrkL0bXYE+LsaOSrTeNjXHuxJtqFHTJ3rlMl78KsWl//jho/ngCYJAVVUVRUVF+Pr6YrFYRi0sP+Y1ccdHWTxy9iSunBXGU98WUqXVs7NUyw3pkdx3RhwyqQSTxcaa7eVklum4LNJIfLgXSUlJ47o0d4TF2trayMjIwNPTk3nz5h3zRbW/uOh0OjIyMvDx8RmygdRdJefK2WFcMSuU3aWtvPBjGS5KGTfPj+DKWaFcPD2Ih9fuYENNJwqZBKVMiptSxn+vnkZhYxd/+DCHp74r5vvbZuOnHjlWPlg/yVDzWnx8fE74neqJpvewtN5+Vq2trX3yV71LwE8F8R2v1Vf/GxPH1FKdTkdFRQUSiaRPvmY8K9EcOeGhxEU0rjzJ9LZwOZYwmMlkIicnh46ODmbOnElPT48zxDISr28r45XNZfz76lTSIry455NsJBIJO0u1vP+7NGZF2WPjWbXtvLyxhCXhci4L1+Ph4UFKSsq43xlJJBLa29upqakZ1O7/WPZrs9kQBIHKykqKi4uZNGkSERERI+5fIpEwL8aHtDA11W1G/rmtAl+1klvmh7Mi3MZ9q9J4YkMFm4taSQ3T8MAX+axMCuDAA/O5//MCTntlL7cvjuTm+SMfqzcymayP/5fRaHTexefm5mKxWPoMwBqLa8CpmLeQSqW4urqiVqtJTk7uMyytrKyM7u5uZ5hoooqv4zs/3uc12NRSR5Ve70q03oUkx7Lqc4z97i8uDpE71aZQwq9IXI41ae9Ap9ORmZmJRqMhPT0dpVKJ0Wgc0f7FZhO48+MsNuY389Uf5+LlquCOj7LwcVfydVYDn948m+RQDQazlX9sKaOxo4dr4swobN0EhEai1+vH/QJlsVhobm6mp6eH6Wkz6RJUbC9uRSIBF4UMF7kUlUKGSi79+d9SXOT2/49kny+RSLBYLGRmZqLT6Zg5c+ZReR1F+rjy1wsSOVjVxgNfFBAkSJg9R8YbVyST39DFpW/ZHZdd5DI2F7Vy79IYbl8cycX/Ocxr2yr55tZZRPoc3chdlUrVx73XETLqX+LruICMpcT3VKF3Qn+wYWn9xbd3vmYi9Bs5Vs/HW/SkUumgrgqOQWAFBQXHNCLbcX0ZqhRZXLmcJMZj/LAgCJSVlVFWVkZ8fDyRkZF9jCuH6xURBIGzX9tDRaue7fcupL3HzP2f5eCvtgvLl7fOISHIgyPVbaz+qZQLk7yZqWjFx8OHpKSZ1NXV0dXVddQ/f28sVhvVuh6yq1rYmV1GfbcNMyq8W6oI93Yl0tcNvcmK0WwDCZgsNgxmKwaLDaPZhsFixWixIQhgtQkEe7qQEqohOVRDnL878p/NJ81mM01NTU4RPtYL78wIL2Zc4cmLH2/jjvWFXDs3giXxPmQ9vJBPDtfz9A8lAPSYraSFe7L/gfn8c1sl56w5wHkpgTyxchLyY5gnM1jIqL8ly6nkGjBahnNF7i++er3eKTa9+416m2+eaI4l9H0s9HdVGGxEdu/Pi6en57Dh7t43xf0Rcy4nAce43aamJvz8/I5aWIxGI1lZWfT09DB79mynx5WDkYwrH/+6gIpWPYceXkJ2bQf/2VWJxkXON9mNfHPbXOID1OwubWXt/hruma2mubaUuIQEwsLCkEgkY7b0743VJrCzpJVvcxpo77EglYC3woZE30qony9RgVKaOnowKhVUtOqpaNXjqpQhk0jQmwf5mQRQyqW4q2SoVXLclDIaOgyUtegpb+nGJggEuYGboZnJfi6clpY2bhdZqUTC7ACBG2fE8XGWlvVH6rltcRSXpoWwcmoAf/osn91lOpo6TRyqbufWhZFcPTuEM/6xny+zGnnvulRSw46+SKHPufS6cMbGxmI2m52NnIWFhX0s9E0m04SqGBsLoy1F7m2d7wgTOYolGhsbKSoqOinFEidLXPozVCWa4/NiNBr7hBj7l4QPdWNssVgwGAyiuJxIHGEwvV7PkSNHOPPMM49KWBz9Hr6+vkyfPn3Qu4vhLv6Hqtr46FAt2+9dwPbiFjbkNYEgsDG/2Sksh6raeHt3JdfHW+hoaR9QqXU0w8iaO42sP1LHnjIt82N9uSA1hB3FLWSUN9JkNOLv44WvSoOLrZvJPjLOmBuHr7tyVO+RyWKjy2ihy2ihqKmLjOp2ylq6kUogUGHG0tmBTe3BT3VWvl2Xhb9aybnTgsdtGqWrQsatCyNp6jTyz22VANy2OJI3r0imrEXPeW8epFLbg9VWQbSvGzv/NI8f8pq55t0Mzk0O4OlVk5GOc7hGoVAM6Rqg1WoRBIGcnJwJ5RowGo62z6X3sLTo6GgsFotzpVdRUeEsluh95348VnqO783JDs/1Z7hKtOzsbKxW64CS8KF8xQAx53Ki6N274hCDsd45OiplKisrSUwcvqdkqHkuXQYLV751kP+7YAodBgufHq7DYLZxqKrNKSw5dR28uqmQy8O7cXfxYerMGQMEbLTiYrMJ7KvQ8cmhWmwCnJHojzoxgC1FLdRou5ik1LEgRcb06fOdIYrKykpaW1vxU48+bKWUS/GRK/FxVxLh48ayhACMRiOHjmRQ0mrEEBDJwYpW2vVWJoXZjTK3FrXw5o4KUkI1nDcteIAp5lhw/C4DPFQ8ec4k8hu6eOq7YtIiPLl2ThhZDy/kX7uqeG1bJfXtRspb9Vw7J4xNd8xh2T/28VV2E1vvnouv+/Hpvu7vGlBVVUVLSwvu7u6nnGvAeDVRyuXyAcPSHCG0/Px8pz+c42I6XmW9x9q/dqIYqRIN7L+L/iOO9Xo9gLhyOd4M1rvi+NIOVcY3GD09PWRmZmKxWEY10GuwsJggCJy+eidTQzQsnxLILesyaOwwUtvWw9d/tAtLYUMnT3+VxZWRPSQNM5FyJHHRdpv4PKOe7cUtpEV4MS/Gh73lWn7IbWRlchBPLA2iMC93UNPJ3h36RrOVshY9bT1mZ6mvQiZFIZP8/Pcv/3ZV2JP98EuZsbe3N1cut5cZn1mhQKfTERQTzcHKNjbmN+HjpkAulfDu3ipqdT0smeTHyuQgfMZwkR+sfyYxSM0/Lk3ii8xGbv84h4fOjOOWBZGcPSWAlWsOUN9hxF3ZwP6KNvbdP5+Hvypgyeq9vHZpEovjfUd97KNFIpGgUCiIjo523sU7QiKOLvmJ6hpwvDr0lUolQUFBBAUF9Vnp9R51PB7D0k7FJtDBKtFqamqorKzsM9/n008/xcvLC5VKddzye4ONODYYDNx77718+OGHGI1Gli9fzuuvvz5mf7NTRlz69644nIwdH6zRTop0DPQKDAwkMTFxVL80mUzmLBV0fAHWbC+nvcfCjnvTePaHIroMFipa9Xz9x7lMClRTVN/Gnz85wo1TpCycPXzD4lDiojdZeXlTCY0dBlLDvZgS7MGR6nbclDIeXD4JP3cFxcXFFORWMXXqVKepnNUmUKXVU9zUzcFiLfn13bgVZqCSS4n2c8PHTYnZasNsFfr9bcP087/1JisGsxWp1YinrZO5k0NJjY9zirlDtII9XViVEsSqlCCaOo18lVlPdXUPkwLV9JhtPPVtITZBYGVyIMsSApCNogptqMcvSA1iTrQXz28oIT3Gh8vSgjny0EKe31DCx4frSYvw5K5Pc3lkeRwXTAvi9o9zWTbZj5cuTBzxuOPJcK4BNTU1CIJw3F0DRsuJsH/pv9LrPyytuLgYpVJ5VMPShhKXli4Tm4ta+PRwA/mNQxfLeLnKifN35/fp4cyP8T4pvwepVIpKpcLV1ZXp06c7+7GkUinr16/HaDSSmJjI0qVLnX8c9kfHwlAjju+55x6+/fZbPvnkEzw9Pbn99tu58MIL2bVr15j2P+Et94cbP+xg48aNzJs3b9ilo81mo7CwkNraWpKSksbk7mkymdi8eTPLli1DLpdT1NjFqtf38u1tcylq6uI/uyrJrevkqz/OZXKgmryKBv78eQ53z/Vm0axpI4ZEHOXPS5YscT6WVdPO3zaVcM3ccPaW6egyWrhyVhjJoRokEolznLLZbCY1NZWqThufHKqjrt2AVGLvio8PcMdHakDW3czi+XNH/fOCPZGYm5tLbVMrysA4qrsEcus76egx46qUEexixV9u4Ipls3FTDqzNz6rt4LMj9vOZFemNyWrjQIWOi2eEctYUf0pLiqmvr+9zkVWpVGzfvp3p06cPu5q0CQIfHqxjT7mOh5fHEezpQmZtB1e/kwHA9DANl8wIJj3GmyWr9wLw051zCPA4PqXEVVVVtLe3k5ycPOK2vS+sWq2W9vb2k+oaUFRUhEQiGTBO4kTSe1iaTqejs7Nz1JV5bW1tZGbnIAlKZN3BOnaV6UZ93ChfV6aHaWjvsbC5yD7hNdBDyce/nzGm1fZ4UFdXR2NjI9OnT+/z+I4dO7jlllt47bXX2Lx5Mz/99BPPPvss55133jEdr6urixkzZvD666/zzDPPkJqayurVq2lvb8ff359169Zx8cUXA1BQUEBiYiJ79uxh7tzRX0cm9MpltHNXRppx393dTWZmJgDp6eljGtXp2D/YBcpgtrLq9b3cdXoMKrmU9/fVkFvXybvXz2BSgDsHsgt5amMVf1kew6wpMWO29LdYbbyxvYJKrZ4rZ4fxv73V/GFhFOmxv4R3WltbyczMxMPLlzpZCO98XkyMnxtXzwkfkOuor6+nsNRGeUs3DR1GGjsM1Lfbp1U2d5mw2QTkMglergq83BR4uSpwkwto66rwdJUza9p0wnw9WKb65aPSbbSwI7uMA6Xd/OnTbDxUclZMDWR+rC9KuT3+PS3Mk2lhnhjMVjbmN/NdTgOBGhVZNTre3pbP/CAJF82OpUff7TQEVavVzhJgNze3IS8oUomEK2eFMj/Whye/K2b5FH/OTwlk3/3z+d17mRyp6UAigf0Vbey5L50Xfixl6av7eOnCRJYn+o/pdz/eTDTXgIkwf75/WW/v6ZOOSqve+Rq1Wk2lzshr2yrYWNDy815yhz1GfIA76dHexPm7odOb+amwlczaDipae/ps12W0snj1XgLUSlZfPIXk0PGpPhyJ4axfPDw8OO+885yCMh7rgaFGHB86dAiz2dxnnHJCQgIRERG/HnEZS++KTCZz5mH6U1dXR15e3ohDsIajd+jtyneP4O2m4Mb5Udy6LoNDVW0smeTHjFA1W/ccYPX+Tp69IJmU6OHnovTfv81mo6JVz9PfFbIswZ/mLiP7y3W8fsU01KpfihbKysrYlV1GrtEbba2NlckyXrs8BReFQwAFjtS0syG3kYpWPWaTCbPByNSuWoI0KgI9XZgb402wxgU/tRK5TIrJYqO9x0xbj5my2iayC8tQqr3odvPhy+xm6tqr6TJaifZ1Y2akFzMjvUgOdsfHpmT27FQaOwx8n9PI+/trCPV0YWVyILMi7ZVjLgqZM2x2qKSelzfk4e+mxKz257HNjVw8PYQzZ8Zg+Xn6Yn5+PuXl5ZSUlPRZ1QzWLR/p48o/L5vKu/tquPezfB46M5aPfj+D73KbePCLAspbe6hpM/DgGbGsSg7gxrXZfBpdz5rLk4+pJ2YwjjacMlrXAMeFdSyuAaNhIohLf/pPn3Tka6obW3l6YzUHmgd/3YxwDcVN3XQaf7nR9HKVYxWgrLmb4qbuQV93RoIfq5IDqdTq+dtP5aSGafBXK7nynQyunxvGvUtjxv1n7I/FYhm19cux/v6HG3Hc0NCAUqkcEHYLDAykoaFhTMeZcOIylvHDDgYrFbZYLOTn59PU1ERKSorzg3o0OHI7n2XUk1ffyYE/L+bvP5Xy85h6nj0rgk3bdvLfQhnPXjyDqWFj61SXSCTsqBNY31zEWVMC+Dq7gduXxDA76pf9dOkNvLXxMNsre5gcFsDvFseQEGQPHVltAvvKtWzIa6KiVc/0cE8umhHKpAB3WlpaKCwsZMGCSYD9/W3qNNFltGBsMyCXSZBLpcgkAh2N1Zgba7hsYRJhIcF93ndBEKho1XOwso0XfyyhtrUDN0zUKetIi/TmunkRXJ8eSUWrnm+yG3hjewWTA9WckxJEUrAHdXV1aMvzePrsWLqUvvxrZwVhXq7kN3SxPqOeS6YHsywhgOLiYqZOnYpCoXB2y5eVlaFQKPqEjhwxeZlUwg3zwilu6uaRrwu5MDWIFUkBzI3yYvHqvRysaufp74s5JzmQnX+ax4KX9zD9+R1sv2ce3m4TzzdrKNcAnU5HWVnZuLsGTHTLfUEQ+LG4nUe/Lh1x2/q2Hi6dHojaVYmrQoavuwKFTIpSZnfw1rgqUMntRSsaFzlWm8DBqnbnCmhJvC//u3Ya1/7PHuX479Up3PB+Fo0dRv56QeJx/TmHK0U+0SOOx4sJlXMZ6/hhB3v27CE6Oto5RbGzs9M5+nTatGnj8iZ+9M0mHjsA7/8uDb3ZykcHa/mpoJlXzwkFXQ0fVKu558xEpoV7jWm/zZ1Gnvg6D1l3M2r/UDxcFNx1emyfPMaewjqe/y6fhZGu3Lx8Bp7uLpitNvZX6NiQ10Rtm4G0CE+WTwnsExZr05s5WFzLrtxyWmW+9h6cMeDpKmdutA8poRoSgz1IDPJwxqLr6+s5XFCOzTeGg5U6KrU9pMf4cEFqMP4eKgRBIL+hky8z6smsaGKur5GrTpvmTHLbbDb2l7Xw9t4aQjxdcFPKyKnvZJ6mgwsXTO1z59Q7Jq/Vaunq6ho0dGS22vjn9kr0Jiv3L4tBKpHw4BcFbMhvZlakJ35qJY+fHc9DXxWypaiVT34/g4SgY//iVlVV0dHRMWAA03jT2zVAq9XS2dmJu7u78304GteAvLw83NzciIqKOj4nfZSUt+q57aMcqnWGQZ93U8q4fm4YcrOeI5WtHGgSMFhGdylzV8pQq2QsS/DjqlmhhHi68ENeM2/sqKRC28P8GG/796uynb+cFcfTP5Twn6uSmRM1tpvGsVBcXAwwIPe1Zs0atm3bxrfffjsuxxlpxPGGDRtYtmwZOp2uz3cwMjKSu+++m3vuuWfUx5ow4nIsc1f2799PSEgIoaGh1NTUUFBQQFRUFLGxseOy5DdbbUx9ajPnTvXjvuWJ3P9ZDvvKdcwJUfD7BKiWh2KVKrluXsSY9ptZ087ffyplQYwXX+wv4fEL05gV/UtuxWSx8uK3WeRVt/DA0mhSEmIB+C6nkY8O1bIg1pflUwKI9LXnkHpMVn7Ia2RDXhO7S7UYLQMr0E6b5Ie3mwKVQoarQopgNaNrakCjdiMqPASFTE5hYyebC1uoax/8iw1w1XQ/AqSd3LBiPkq51O4UUNrKlxn1WGwC500LZk6EmpysTLqMVnLNfmTWdXPFrDCWTvYHBEwmE1KplH0VOt7ZW0OUrxulVXX4eHvx57MS8BpiZeEIHTn+OGbKOy6ye6v1fHy4nidWTiJIo+L73CYe+KKAqcEeuKtkPLlyEtuKW3n+x1KeXTWZc1OObYRsZWUlnZ2dx11c+tPbNUCn02E0Gvs05o2ml8QxMCsyMvIEnfXQCILAh4fqeW5DyZDbzInywtddwXe5Q8TGRmBBjDeL4n2pbzfwZXYj2m4zAG9dlUJahCc/5jfzr11VNHYYeWLlJO79LJ/kEA+y6zrZc1+6M0Q93hQUFKBQKIiNje3z+EsvvURBQQEfffTRuByns7OTysrKPo/1HnEcHh6Ov78/H3zwARdddBEAhYWFJCQkjDnnctLFpXfvyljHDzs4dOgQ3t7edHR0oNPpSElJccawx4M/fZLNtzmNbL8tlcc31iDYLGwtaeO9VT5ExSfw5y8L+NdVqU7frdFQ3NTF8z8UcfGMUL7LrudMTQNnn7nUWSlU3NDBw+uPMNPXwo1npOLr60tBQyd//6mUtAgvrp8XgVJuP15BQyevbysfsDKZF+PDBUnemJrKCU9MZVN+M/vKtVTreugxD9+0GenjSmq4J6lhXkwOUqNWyTlYqWNzQTM7S7V9tj07KZCLZoQwN9obhUyKttvEh3vL2JBdw2R/N245I5nYAA+6jBY+OFDDrlItF00PZmm8NzKpxNnbsrNUxysbckmL9qNUZ+bc5EBWJQcM+3noPVNeq9XS1taGSqXCqNDwTo6BmxdGMT/Oz9nZr5RJSAr24K7TopFJJVzzbgbnpwTy1DmTjjo8dLLEpTf9XQN0Op3TwmY414CcnBw0Gg0REWO7MRpPuowWnvi2mA35gwtGYqCaLpNlyFUMQGqYhiXxvsT5u+HjpsDTVYFcJsFkNNLR3k57ezt5tTrWlwnU6+2/5ygfF+45PYbtJVrWZzQwK9KTh86MI0ij4sJ/HyLMy4Xnzp3Mma/tZ2qwBzVtPWy7Z964uz+AXeTd3d0HrCCffPJJdDodb7311rgf08GSJUuc1WIAt956K9999x3vvPMOGo2GO+64A4Ddu3ePab8nVVxsNhsWi2XMYbD+HDhwgI6ODjQaDSkpKePqXttpsDDz+a28uFBFgdGTpg4DXxd08PKKUFbMTuAvX+VzaVooKWGeI+/sZ2p0PTz8ZR6XpoXyfU4jf7soia2bN3HaaaehUCh5e2cpP2ZW8bsUN06bO50eq5RXt5SiN1m5Z2kcgRoVepOV73IaeHlTKa3dJgDmx/rwfxck4emqYP2ROl7aWExXr+RmjJ8b6TE+hHqpEDpbUJg6SU1OJMDHG6Xc3kTZYTCTXdtBZk07GTXtZNZ0YLX1/YhcMSuMS5I8+PFwCe8X2vocIz3Gh/MmueLSWUPCpHjaZF58dqSexk4jV80OY2GcLwazjY8O1vBTQROrkgNZOTUAxc/CvH3XbvZ3elPbJRCkUVHT1sN9y2JH7Xzcu/qqrqmF/+UaifRWcXVaIC4eXlz8v3w6DVZmhGtYlRzI4jgfTn91H77uCjbcPgeVfOwr3YkgLv3p7f2l1Wrp6OgY1DUgOzsbLy8vwsPDT/g5dhst/OHDHDJqOgY85+OuwGYTaOsZvFBnRZI/v5sbjouxlc6OjlGXgTtyWDlVLXyW38m+JgkKKTywKIgvCjox2eDtq1Mobu7mxvezuG1xFK9ureCi1CDWZzSw5vKpLIj1OeafvT9ZWVl4e3sP+D088MADKBQKXn311XE/poP+4uJoovzggw/6NFE60g6j5aSIy2h6V0a7n8rKSgoLC/H29mbWrFnjnpy8b30Oe8u1/GmahA8KzGS32Fg22YfXrpzBwUod3+U08tjKhFHvr6XLyJ8+zeHC6SH8kNvI6kuSUcntsc6E6XN58tsCQmWdXD03gri4eD45XMePeU3cfloMaRFetHaZeG1rGesO1Dj3+cfF0VwzJ5wnvinos3q5fUk0Z03ypDgng7CkWeQ3dJJdo6OgqhmZTIKnxhPpzxf1/u+aTbB/weP91cQFuDMpQI3GVcGmgib+saWMKq29hFMmlXDvsjiSQjz428YSsmp/uVBcmhbKjfMjifR1o9Ng4e3dleTUdXDTgijSIjzp0hv4MruJjQUt3DAvjPQYH/bu3cukSZPQWlW8tKmMSQHuVGh7SApWc8O8cKcIjZaenh7e3V3O4eoOLoowoZLBxxVKdtSYSA1VMyVYw12nRbPy9QO0dJvYfOcc/MfYD1NZWUlXVxdJSUljet2JpLdrgE6nc7oGmM1mfH19xy2EPBq6jBZueC9r0ObGedFe7ClvG/D4glhv7loS7cyRma026tqNHCyooLJVj8XFi7p2A+afq2ykEvBXqwjzdiHMy4VQLxfCvV3R9BqV7chhXb02n6p2C/ckW1mTJ8PTRcb7V8SzLruDDw418MhZcfzlmyIunRHM93nN7L43fdzfkyNHjhAYGEhISEifx2+77TZCQ0N5/vnnx/2Yx5uTJi4mk8lp9320A72ys7Pp7OzE09MTV1dXEhJGf5Ef1TEsNpKf3szH1yXxyg/Z1PbIqeiwceihJSjlUm5em8GrlyajcR1d1VGnwcKdH2WxYmogG/ObWH1pijNx//KHG9jT6sIFEWaWzUmhwaTi7z+VsnxKAJekhSKTSvg2u4E/fZrj3N9rl6cgkcBtH2QBMClQzT8uS0EqgR9ymyho6KRNb6S7XceC5BiCXaxYWqtIiQkhISEBqdRehmwTBFTygeHI1i4Txc1dFDd2UdzcTWOHEUEQCPBQEe8tR91TT5s6ir/+WOx8zcXxCq45LYUbP8imudO+opoX48Ofl8eTEOSBttvEv3dWUqnt5oY5oSSHaugx23hjRyWNnUaWeLUxO3kSvr6+2ASBjw/Vs7W4leQQD47UdHD74qijcj7OrO3g1S3l3DE/CE/0fJfbxBuZRsLUEoI8lDx6ZiRvH27jy+ymMbsrV1RU0N3dPaHFpT8Gg8E5FMwROegdQjsergEdBgtXvX2ECm3PgOe83RTo9OY+j82L9uKpcyYRpHGhvcfM9hIt20u06E1W5FIJIV4uuFi6wGYlMDAIAfB2kxPi6UKwRoVVEKhpM1DbZqBGZ6C4uRtfdyV3LI4akM/7wwfZ7CrT8eaF0dzyWTnzgqRcEmXm1TwFFqTUdFj40+lRvLy5guxHFo3r+wJw8OBBwsPDB1isXH/99cyYMYNHHnlk3I95vDlpYbHeVi5jRavVkpmZiZeXF1OnTqWsrAyLxTLuX+5XNpfy+rZynp1l418FMio7Bd64chqnTfbnXzsqnNYno8FgtnLnR1ksnuTHlsIWVl+a7EwObsmr4/WNOdw23ZU5s2ayu7KLz47U8ex5U/ByU6DtNnH9u4cp/PlO77vb59HSZeTad+yDtJ44J4ELU4PZXtLK5xn1eLrKOTclmKRgD6Q2E+t/3IHKO5j8qiakGn/azTK73f7P9vpSiQSDZfAmVLVKzuRANdPCPEkK9sBNKaOp08SW3Gq+OVyJ2suX1GAXfHtqaJN58dKeNgACNSreuHIar28rZ+PPsfQADxWrL00mLcKLhvYeXt9aRluPmZsXRDIpwJ3ipm4e/+wICyf5c9OSX+azNHQYeWlTGb7uClq6TSQE2lcxY7V0ae028cS3RZybEsgZCf6UNHZywX+O4K6QEOIGF0dbaLW58a8sIw8vC+fy2aOb2nkqiouDI0eOEBAQgIeHh3NV48hbjZdrQJvezEX/PkRTl2lU2794QSLLE/2o7zCypaiVPWU65DIJ7koZAR4qOg0WGjuNCIJ9kJavq4Tk6GBCvVzQm6zUtRuoazOi1ZsQBHu4fXq4hqtmhZLf0MWaHZWcFu/LJTOC+3yG7vssnw35zbx+2VT++FEOL50Xj5fMxI2fVbIwGHbU27dbd0k4UcF+4zosbd++fcTGxjot+x1ccsklrFixgjvvvHNcjnMiOWni0jvXMloEQaC0tJTy8vI+I3VLS0vp7u4e4JFzLPQYjKQ+v4P7pstokvvz3oEGQj0V/PSnxdToenj2+0Jev2LaqD5cZquNez/NYVqYJ7tLW1l9aQoePy/Pt2SV89qWUn43ycb8ubPYUtHD3nItz5w7BaVcyoa8Ru78KBuAp1YlMClQzeX/OQjAc+dPYV60D58cruVIdTunTfLj/NRgPFRyjtS080NuIwV17bia2wjVKJmVFEtckDchXi6jqnoRBIEOg4X8hk6yajrIqetAb7ISpFER56NA1lbNzMmRfH+4jEqrF902ObMivVg8yY//7a1m/ZE6AO4/Iw6zVWD15l96Ff511TRmh6up7zDxr11VWGwCdy2JpiI/g2KLL9sq9dy2KJLUXrmsTQUtfHiojkkB7lTrDDy+Ih4/9dhsOsxWG89vKCXc24Xr54bR1mNh0d/3ADAtRM1lUz2w9HTx2I5OzgqH62b44Ovr67SnGYxTWVwOHz7s7Ktx0DtvpdVqnV3iY3UN6DZauPg/h6lpGzoR72BRnA/PnTuZ+na7oGTUdqBWyVDIpBjNNowWG2kRniSHeBDu7UKAhwqZVDIq+xqrTWBTYQsfH6rj0rQQlk324/PMBjbkN3Pbol9WwoIgcMY/9uH9c0FAl9HCB7+bzpmv7efsKf68vdceir46yYW53j19Cia8vb2PaVja7t27SUxMHDDNdcWKFVx33XXceOONR73vk8UpIy4Gg4GsrCwMBgOpqal9jCArKirQ6XQDfHmOlra2Nv75/WH+V2Bj973p3PxBDjl1HXxwaSTTp8Rx18fZ3LM0lmi/kW3lbTaBR77MI9TLlYNVbay+JBkvNwU2m40f9+eyZk8DL12QQG1FKTmWINpMEh4+axLtBjOPf/1LDuXHO9O57t1D1LcbeebcRGL93XlnTxUquZRL00KZEeHFkeo2fshtoqylm9QwT+ZHuNFelY/JZOL0008ftRngSDR2GNiZX8vmzDLqeqRMCffnopkRJIdqOFjZxoa8JuraerhsZhhyqYSb12YAcOWsMJZM8nP+310p480rpjItzJPipm7+9lMZMcpOrlsYh4uHN69urcBqE7jrtGhnw2Nzp5Gnvi8myteN/IYufjc3jPljTLAKgsA7e2uoaTPw0PI4LFYb5//rkLNf6JLpwSQHq1n5xkHmhLlwyxTJsD0lp7K4HDp0iNDQ0GGTtUaj0Zmv0Wq1I7oGmCw2/vhRDvsq2kY8/quXJDEjXMP6jAZ2l+nwclUgldhNW5VyKQtivVkU54ufWolNEGjvsaDtNqHVm9HqzeSXVdNlloCLmkAPFYlBahKD1IOOWzBabLy3v4bDVR3ctjiSMC8XHviigKdWTiJQY79xMFttzHhhJy+cl8CjXxey/qY0/revhuy6Tpo6jbT1WIgPcOfT308fUDDh4uLSR2zGstrbsWMH06ZNG2Bwu2TJEh544AEuu+yyUe9ronDSxMXRhT8ampubyc7Oxs/PjylTpgwwgqyurqaxsZGZM2ce0zk5CgSKioq5Y5eEly5KsodkNpaQGqjkmTOCqbR4kt/QyR2nxY68Q+DvP5XgIpexp1zL6kuS8XFXYjQa+X7nYd7O6eGfV04n1M+Lu9/eQmhQAPefncTByjZueO8IJouNRfG+rEoJ4v71uUwL0/DOdWm8stleOXb3z82W/91dyaGqNmaEe7E8KYA4f3eqq6spLCwkJiaG4uJip+lmf2w2gU6jhY4eM51GCxoXBQEeKmeZ82B0d3dz8OBBDAYDS5YsoabDwldZ9WTWdJAa5smqlCD81Uo+PlTLjpJWVkwNZHq4F5f8ez8Gs41r5oSTEqrh/s/sflBL4n15cmU8Xm4K/vrZXkq6lTy8IpEYPzeyajt4dWtFHxGx2gT+tauKshY9cqkEfw97HH2syf4f85v5NqeJZ8+djJtSxl2f5LG1uJU5UV4siPXmvJQgFv19DxHeLnz6+1Q629tobW1Fq9U655P4+vpiMBgwm82npLgMFesfiv6uATqdzuka4OXtzb8OtbM+c/hmXS9XOet+N50es411B2opbu5GggR3lYxADyVL4n2ZF+ONi1xKcbOeveU6DlW1Y7YK+Lgr8HFX4OumxNtNQVdrPQEaV6bERdLQYSS/oYv8hi603WaUcgkpofZwWO8qwJYuE89tKOHC1CACPVT8e1dVnw78ac9t5/fp4fx7VzUPL49DJZfw+LfFpIR60NBupKnLNCDv4hhz7BBhx2pvtMPStm3bxsyZMwdYvcycOZO//e1vnHPOOaP6/UwkJrS42Gw2iouLqaqqYsqUKYSGhg66XV1dHdXV1cyZM+eoz8dsNpOdnU1HRwcGr2ju+ryYrEdP44b3jnCwso33LwhCIZfx94N6/nVVqnPWyXAUNHTy1q5KbALcOD+SxGB7XHvLvgzWlsr451Uz8de48uS3hSi6G7l1WRKVegVX/dce9vr31al8l9PI5xn1vHv9DFzkMl7+qYTfp0eyKN6X73Ob+PBgDdfOCWdpgj8SiQSr1Upubi4tLS3OFd6PGzcRnDiLA9WdZNW2Y7UJOH7pEsDDRY7GRYFaJafLaKGp04jJ+ks+zMvVLjhTgj2IVlupLs4jICCAxsZGzjjjDOd2giBwuLqdr7MaqNb1sCjOl3OnBbGtqIUvMxuYGenF0gR/zluzD4D7lkZT1trDZxl2z6IHzohhsqQeN98Q/nuknUkBdit0i03gb5vKUCmk3LUk2il8ByrbeHNnFdNCNeTWd/KXs+MJ9RqbG0NmbQf/2FrBM6vsiePXtlXw5s4q5kZ7Eefvzh2Lo5jzot1qfN/983FTyvrMk3f8kUgkBAQEOFc247VKPN4cOHCAyMjIo7ZHclRcfXa4htV7h3ckjvB24d1rU8ms7eDzjAaaukxIJRDq5cJFqcHMifKiucvE3nIdeyvaaNObiQ9wZ26UF9PDPQe4bwNOo8/BmkCNFhvbS1r56FA9d58WzdSQX5y2e8xWbv8oh9UXJ/H23mqmBntw+mR7vmN7iZbbPsrhpvRw3j9Qy/+uTeWStw6TGqahts1u+DpSUt+x2nOIzXDD0gRBYMuWLaSnp/fpRRIEgaSkJN5//30WL1487PEmIhNWXPR6PZmZmdhsNqZNmzasv05jYyOlpaWkpx9diWBbWxsZGRl4eHiQnJxM8rPbuXdZHN5uCl7ZUkpLl4kvrwjnrUNazpszifmxIzdo2mwCN6/NYGmCP/XtBu5ZGkt5eTlH8kv5uNqNly6dToCHij9/kceyBH+8O8vocQvij5+XAXDwoSXMfmErNgG237uQ/+2tQttt4s9nTaK2rYfVP5UyM9Kb6+aGO4XOMfJZKpWiCZ/M4ZouDlTqqK5rZP6USBZM8md6mCcqhQyL1UZ9u4Gipm7y6jtwU8rtd4U/3xG6KmW4yKV4uykx22w0tBvYnFHKntIWJC4eRPur8dDXc+N5i/F2G3ghNVlsbC1q4aODNUyP8OKaOeFk13aw7kAN4d6uLJnky/XvHgHghfMSePmnMmfC95VVEZyWHMmG/BY+PVLvrBD7qaCFjw7X8fDyOKJ+diVo7Tbx1HfFRPvZw2RXzQplUdzYwmTVuh6e/K6Ye06PJinYw2l8mRbhSZBGxeMr4rniv0cobdGz7e65A+zYy8rKaG9vR6PROG1Z1Go1Pj72fM3xdjY+Fvbv309MTMyARPJoKWzs4uL/HB52mxC1lCdPDyKzFXZVdqE3WVHJpcyI8OSytGDkUilfZjVwqKqdII2KedHezI7ycoa2Klr1fJ/XzP6KNvIa7K/vjVQC86K9uX1xVB8BcdCmN/PCxlJCPV34w8II5wr3UFU73+Y08eCZsdz2UQ6rL56CWmX3HEt9fgfPnzeZh74s5PCfFzDjhZ1MCnCnrt1Al9E6poqx/sPSdDq7CPde1ezfv5+FCxf2CaUJgkBUVBQbNmxg1qxZoz7eROGkiYujz2UwGhoayMnJITg4mISEhBH9klpaWsjPz2fhwoVjOodfwmBFxMfHExUVRUFDF+e/sY/MR0/j5rUZ7CvXse73MxHaG3hldzPv3TK6Y3x6uJaGDiP7K3S8ftlUCvNyaNJ1srbSjSfPTSLGz4371udw3rRgFsX78cGGXTyx216iueWeBZz2951MCfbgyVUJ/G2jfa7L9DAvXtlcitlm4+7T45xxYrAPQTuUkUWRyYvDLRISgjyYF+NDWrgnX234iSPmEH7Ib3b2ARwNid4Srp4fy+lTQmjUdvDhlsN0uYXQ1mNmRrgnF00PIciz78pBEAR2lLTy3r5qpgR7cP28CEqaunl9WzmnT/LBX63krk/zALsFx+/X2suqF8b68Px5kwF4+adyNK5y7lwSRWu3mae/L2ZZgh/npwTah5YJAv/dU01Bg931NiXUg2tmDz22ejDae8w88lUhF08PZskkX+d8mIRAdwI9VDx3XgJPf1/MD3nNfHvrLCJ6NXWWl5fT09PDlClTgF9G/PbPUThWNY4RthOBffv2ERcXN2ZHiw6Dhfl/G75je1KAO48si+DjQ7XkNnRjMlvwUEpYGOnGiqlBlHXJ2FCoQymXcn5KILOjvDBbBX7Mb+a9fbXDDvkaicHGK2zIb+bzjAb+cWmSU2Be+LGERXG+SH8e0XDnadEAnPXaPlLDPfk2p4mv/jCT2z/KwSpA7c/FCcdSjjzYTB9BEAgKCsLX19dpzCoIAv7+/mRmZo57m8WJYEKJi9VqpbCwkLq6OqZOnTrqjtDBhm2NhNlsJicnh/b2dqZNm+as0pj1/FbOTgpkfpwP7++rYX+FjsInl/HyN0fwkJm56ezZI5+P3sQ9n+QQ5uXC0jgN0pZS1Go166tUXJQWRlqEFx8eqKHLaOHGBVHk13dy/hv2UNE3t83lnH/u5d5lcfh7KNle3MpfVkwmu7aDd/dWcffpsX3cAARBICe/kA8PVFNmVHPxrEjO/Xkq5P9tKB5gCZMW4cXieF/CfdxwV8roMlrwcJHj665EJZdisQno9GZ0ehMmq0B3dw8HCirY0yDQZhz4UXl8ZQIXTQ/mcHU7nx2po8ds5dyUYE6b7NcnByIIAnvLdby7p4oYf3eunRPGN4cr2F7exc0LIvmxoJmPDtWzLFKBn5cHH2baLWb+e3UKsyK92FjQzPojDTy2Ip5ADxVv7a6mvFXPQ8vjnI1xB6vsYbJoXzdMFhuPnBU3pjyM2WrjiW+LmBXpxfnTgqjS9rByzQFCPFWEe7vy7KrJfJbRwOs7KvuYXvYXl970zlG0trbS3t7udHh2XEhO5HCw/jiaVh2zVEbCJgj8aX0ePxW2DrnNlCA1z6yazNoDteytaMNVISXe352LpwfhLjHz6eFa8hu7meRhYWG4CrXGk/9mG9hbNbSYTA/TcPpkX8K9XbHYBEwWewVZZlElbVYl2yu6sAn2VUx6jDc7S+2rA0co08GXWQ10Ga1cNcseYtebrNz+cQ7/vjKFOz/J5Z+X2V0W1uyo5J29NehNVp46ZxJfZTXS1mOmpNk+0348e126urrYv38/4eHh6HQ6urq6WLduHXK5nHXr1jlvfo+VNWvWsGbNGioqKgBISkriscce4+yzzwbsxQPbtm3r85pbbrmFN95446iON2Es97u6usjMzEQqlY55oNdIw8L6097eTkZGBmq1mvT0dGd8vEbXQ4fBwn1nxHHPJ9nsr9Bxz9JYBEHgQK2ee9JGF8//+6ZS5kV7U1zbgqWultjYWJolXrg0NJEW4UVxUxfbS1p57bIUihq7nMLy8sowzvnnXp45NxGVQsreMh1/u2gqn2XUsa9cxxtXpvZJtLd19bD6m0NkNBq5al4c9yaF8uS3BTz8RZ5zmxg/N+Z6dTM7JQGzRE5pUzc5dR0cqmpDJZcS4eOGXCZBEOwXDqvtZwcFQaBO20Fdcxtubm6sSPElPkCNr1pBR4+Fw5VaPsts5MlvC3jy2wIAnjk3kSWT/Pg+t5Fb1maQEOTBxTNCiPGzVxPNi/FhXowP+8pauHvtfsJcjJwbIPDxLj0GFPz38snc8GEhVGr515XJ3Lwumxvez+KytGAePCOWhEA1T3xbxBUzQ7l5QQQZNR3c82kuD5wRy+RANTMjvAg8W8WT3xUzLVTD3Z/m8cyqyaO21lfIpDy9ajIv/FhKh6GGa+eEsemOOSz7xz4MZht//rKAp86ZhI+7gkveOsy7105jRrhd6Icbz+yYlx4RETHocDCNRuNc1Wg0mhMaQhuL5f7Hh+p4+oehTSWjfF159ZIk1u6v5baPcpBKJSyd7MtlM0LIqe/kvf21+LgpuWBWLPcHuPN/P5bwpx2NQEuf/ayIV3P21EBSI/3xGmEiZJS1lvDwUAIDA6nS9vDpkXpnybBMAnNe3NXnRmBVciC3fpjDyqQAvNwUuCllTA5QU9NmQBB+eT8mB7g7w282m0B9h5G0cI1TXMYbmUzmFBCTyURDQwNffvklYBeB9PR0li1bxsUXX3zUq5iwsDBeeOEF4uPjEQSBd999l/POO48jR444i1FuuukmnnrqKedrxjpYsTcTYuVSW1tLXl4eERERxMfHj/nL1d3dzc6dO1m+fPmw2wmCQFVVFUVFRcTGxhIdHd3ni3Xxv/bjppRx66Jo3t1bxZbCFg49vISKVj0f7i7m/ChhxIq0jOp21u6vorRey+8nWZibloqHpzc3vn+Ef14+DYVMwh/WZfLihUl0GCyseM3eY/H4Ag+e3NnJU6sS8HCRs62olefOn8Ka7eV0Gy3cf0Y80l4NX18eKuet7WWsnOTONctm8MKGUj46VAtArL87L1wwBZVcxhcZ9ezOq2TupGBiAj0xWwX0JisFDZ0UN3XR0GGkwzAw9yWTgFJmb3xMj/PH01X+cze/fWXW3GFAY9Zy1bKZ9pLeXoIG8O71M3BTyvjoYC0Gs5U/Lo4h1t+drq4ujhw5gkqloloSwGeZjVycqEZm6uL97A7C3ATUbio+KjRzVqIvUqnU6YD79R9mEuLpwsuby5BJJdx9WjSdBguPfl3ExdODnAnZDoOFR78uJM7fjcyaDh5eHjdgQudIn5N/bq9EEOD2xZG091hY+Pc9qORSkoLVPHZ2PEVN3TzwRQH/vGwq4bJ2DAYDiYljn/kxlMOzo7fmWHonRsPu3buZMmXKsDPZS5u7Of9fh4Z8XimTsO530/kis5GNBc1IJBKWTfbjylkhbC1uZVuxljMT/Th7SgCfHqnn5c3lfV7vppTx6FlxLIr2oLujV3+NWUBw0WBVqjFJXegyg69aSYS3K5E+rni6Kti/fz/R0dHOUQ5g//39fXM5b++tIT3Gm91luj4Cc6S6ne/zmnl4eRwAX2U1opRL2FfRxi0LIgjSuHCwqo3fvWcP0f71/AQe/7aI6+aE8cbOKmB8Vy7t7e1kZ2ezYMGCPo9XV1eTlJREQUEBW7duZdOmTVx44YVcccUV43ZsHx8fXnzxRX7/+98P8Bg7Vk6auDgqbvLy8mhubiYlJaXPB2QsGAwGtm7dyplnnjmkMDnCYG1tbaSmpg5oVtKbrEx/dgvb/rSAp74rpLipixBPF969Po0nvyngjGgVsq6mYSvSLFYbN7x7CJWli7QgJdefmYaLiwuvbSkjLsCds5ICeerbAhZP8mN2pDfz/rqNHrONT26axSX/PsBlyV7MnxLOxvxmnjtvCs98X0iMrxvXp/9SCWOyWHn6iwwaW7TcuyyWgi4XHvjcfmGfFenFHafFUNDQxfbiFqJ83QjydGFXVgnFXQpafrYXV8jsY4iDPV1QSCXIZVIkErvdi9Vmo6ujHQQbfj4+2CRS8uo7qdb9YtnhopCyMimA7pZa/EIiKW/VE+XrRlKIhooWPf/aWeHc9sWLkpgW6skb28vRGwzMVeuYMSmc+Ph4zGYznQYLa3ZU0WG0cPeSSD7YfIS9jTbOi5bxzH57gv+RRb48u90ehnn0rDgunRHMT4WtfHqknsdWxOOvVvL8hlKCPVXcmB6ORCLBYhP4vx9LkUigStvDVbNCWTjGRP//9tl7Yf58Ziw9JitzX7LnGGaEa3jwjFi0ejO3fpjDn+b5MDdYdlTi0pvBYvEuLi59OuUHKyc/Fnbt2sXUqVPx9BxovGowWzn/zYPUthuHfP2bVySzt1zHd7lNCAIsTfDj8rQQfipsYX9lGxelBpMUrOaWD7L7uBo7CiXmRHmhkElp7TZxoLKNveVtNHQYkUkluMoE3KUWXDChtPbg7SbHpnCn3aaixSCh02hFq2vjvNRgLpkTM8Ct+I0dlfxzeyVXzAzhg4N1ZD280Hkz+dCXBdy8IIJoXzeKm7r5OqeRYI3dg2xRnE+fQoXXLk3i9o9zOSPBzzlWeTzFxTHOed68eX0eLygoYMmSJXR2do77atZqtfLJJ59w3XXXceTIEaZMmcKSJUvIzc115n9WrVrFX/7yl6NevZy0sFhPTw979uxBpVIxf/78Yxro5Uj4O0Yi98cRBnN3d2f+/PmDloluLbJ/aNp/vouv0vbw90uSMZitVOt6iJnpRXnH8HY1b/yUh8rUhkTlzs3nzEUqlVLa3E1RUxe3LYlmU34TSpmUxfF+3PVxFj1mG/+5ZjqX/PsAsd5y4n2VbMht4slVidy3PoezkgJYMfWXvFN9m5571h1kho+ZVadP4dz38gH7F/XlS5L5MrOedQdqWBjny4wIL17dYq88C3KD9BhPPN1d6TRY0OpNaLvNbCtqQSmXolbJ8XCRI8NGva6LDpMEpUJGnbELd6UMH3cFkT6uKGRS5DIJUomEg1XtVGplUFNDQpCaSB83SprsPQZ3nW6fkvnAZ7ncv97ey/K7Gd4kuGrZ0eZFfpGNPwQa8XWV4uEi58EzY8lv6OIv3xQT6yrj3kXBvJPVxUNnaGjQdvLs9lbOj4ZDzfDMDyWsP1TNmsunMjkwjid+vqP8y9lxrDtYxyNfF/LY2fG4KGQ8clYc6w7UotOb+Sq7kaZOIxdNDx74ixuCa+eE8XlmA3/5upAnVk7i4IMLWLJ6D4erO3jhx1LuOT2a966bxjXvZnLDNDXHqC1IJBI0Gg0ajYaoqChn74RWq6W0tNRpNunI14xmXstIDBUW+8+uKl7ZWjHk6x5ZHkdTl5G/fFOIxSZwxmQ/LpoezMb8Zv66sZQrZoaQGqbhhvez+rzusbPjuTA1iB6zlYOV7bz8UznlrXq83RTMjvLi5gURhHgOvBb0Dic68hIeHh60d1nJa9dzy7psrp8bRnqMt/Pn+cPCSKw2wbna+N++Wq6bGwbA8kR/DlS2Ee3rRrSfG+UtehbF+ZBZ08miOJ8+74nrz9WYh6vbAfB1H98cmdVqHXIK5XiPtc7OzmbevHkYDAbUajWff/65M1d45ZVXEhkZSUhICFlZWTz44IMUFhby2WefHdWxTpq4qFQqoqKiCAsLO+Y3r7e49C/lGy4M1pt/bCnl0rRQthY2U9vWg5tSxtQQDV9nNXBmYsCweR2bzcbuI7lsymvE3d2DVy+ZgVRqH6361x+LeXxlAg0dRtbur+HNq1LJqG7nh9wm7l0Wx3t77R/8y5LUbCnr4u9XzuKeT7K5aUEkc6J/udPeklfHKxsLuC7JhcNdPlyz1i4sX946h9z6Tl7bUsZpk/04Ut3OI1/an1sxNRC5VEJRdSN7K9rRuPZgsNio0fU1DtR2m1DKJCgkNtxUCoK9lLR2m5yVMb1RyCR4uSnwcVOQ4GnDy8cHsxWnS/PsKG9MFoH1h+s4OymQhbHePPddHm8f1gES/rDQmzOnBPDcD0VEeKm4ZUEErko5iUFqXr98Kq98fZDX9jbz1HlT2VLUSnWXhA9+N50r3j6Cv7uCm9Lc+fehNpb84xDPpyu5a4YPbx2qpkqr56pZYewp13HXp3nOrusrZ4US4ePK+/trOVLTQVuPhRvmjf4zd8G0IDQqOQ9+UcBz505m+z3zOO/Ngxyp6WD1lnL+sDCSV84K4K4fmnDRVHLrovEbuiWXy/Hz83OWCfee11JdXQ3gXNUMNa9lJPqLS0lzNxcMEwK7LC2YEE8X/r27CpPFxrIEP85LCWRDfguvb6/g6tmh+HuouP3jXOdrQjxVrLk8mQgfV3aX6XjoqwJMFhuzI724ZEYw0b52k8z2HjMNHUZ2t+po/bkLv7XbhMUqEO7tSoS3CxF+YaTFxmExm9DpdHQXFDDdrY34QCvfH9Tz4V4Fz6yahMbD7vt12+Iovs9rptto5aWfyrh2jr2KMMrXlf2Vbfb3WSrBaoMYXzc+z2wc8DO7KOw3rK0/r/zjA0YfYh0NQ4mLXq8/ppzHYEyePJmMjAza29v59NNPue6669i2bRtTpkzh5ptvdm6XnJxMcHAwS5cupbS0dMAQs9Fw0sRFJpON2wwJx4Cx3hd/s9lMbm4uOp2OtLS0Eathylr0vHJpCi9vKqGgoYunVtmTZt/mNPDShVMxdrcParTZ09NDRkYGa3ONnJESgUQmx/dnv6v1R+qYF+1NoEbFresyeGzlZARB4LL/HADsY4S3Fbey/pbZvPB1Fg8u8OW574u4eWEUs3uNVP37DzlklDXw2GnBPLmzk4LGBhbE+nDHabG8vKmElJ9DXM//UESIlyu/nx9JZauebqPd4K+oTcAmmGnpNrMswZ8/LY0l1t8df7UKT1cZRYWF1NfXM23a9AH9DvaZGmanv9jO0lYOVrb97Hgsxb2nEwF7FZqnq5y6dgNrtttj6pfNCOL97XkEu0u5cUEMX+c088aOCt7YUcG7182gXW/gto9zuWVBBHOivJFKJCyNUrEw3oNnfyjh/GmB3LY4kv/bWMrLFyXy983l/PtQG/+4JIk7Psnlod0mHl9o4MKQTr7Mb+NQcQ23zw/h7oUhPPxVAX86PYakEA8WxPrg46bg5c3luCllvLy5nD+dPvSNRn+WJvjhrpJx32f5/PWCRL65dRZXv5PB4eoO3thRyVlRCl4904c7f6yk22TlvmUxo9rvWHF1dSU0NJTQ0NA+81rq6+spLCx0zmvx9fUd9chjh7iYrTYu/s9hyloGT1hPCVJz7Zww3thRSUOHkbOT/Dk3JZDvc5v5375arpkdyheZjdy4Ntv5muvmhHHrwgjqO4x8kdlAfmMX82O8uX9pDP4eKlq6TBysamfdgVpq2gx4usoJ9XTBV63Ex01BYqAaX3cFMqmEap2BCm0P20q01OgM+KkV3LIgEplMxrRp05BKpSRptXyZ1cgzXxzmvBiZM5R449wQ/vKd3dfup8JWliX4Eerl0sfzzNtNTnOXCdefC2Z6Zwts/TIHZyQcXU/QUJzIlYtSqSQuzp5rSktL48CBA7zyyiu8+eabA7Z1pABKSkpOLXEBnBMIxwO5XO4Ul/b2djIzM3F1dSU9PX3E4WHan4dthXm7UvXzXf3K5CBqdD14uypQu8ixGAauXJqbm+1DfvwCMSlVFLcYeeRs+51ra5eJb7Mb+ffVqXx2pI7TJvsT7efOM98VAjjzLN/eNpfnfiji9jk+bCztItbf3yksgiDw8jeHqWrU8uQ5iSx/y16Vdc/SWLqMFt7bV82ZUwJ45Mt8JBK4ZEYozZ1GfipoxmixUt9uxNddyfmxcs6ZEc28xIg+RQEGg4GDBw5jtVqZN2/eoHdJUqkEH3cl82N9mR/ry62LoxEEgRqdnne/3cnhbjW59V0cqrKXnAZqXEiP8aHbYOSjw/bO+8vSgihtNeDvoeSfl6dw58fZXPeuPZ793a0zWXuwju9ymvnTUnuPQaBazj8uTWLN9kr2lLXx0gWJ/GtXFcsS/PB2VXDHJ7k8sjyOZzeU8OSONu5dGs3jF3rz6cEqntpUw2VRJi4Pk/N/3+dy5YxAliWHMyXYg0fPiuOp74uZGuLBE98W85cV8U7n5ZGYG+2NXCbh/s/zefGCRNZen8qNa7PYX9mOxaRiWZSKDbfPZvlr+7EKAg+eMfYv41iQSqV4enri6elJdHQ0ZrPZ2Q1eWFjoHHnsWNUM5eArCAJf5bby/KahGyFfuzSJd/bW8OjXhcyO8uLxlfFsL9Hy3r5abkwP56091Vz7v0zn9i9ekMC8aG++z23m3s/yCfd25fyUQO48LZp95TrW7Kiirt2Ar1rJzAhPrpsbRpiXy7AXUUfTrIOipm7+vrmcnjYbkZNtRARoUKvV3BERwRPfFtLt4UqwykxNTQ2u7Z2AnGC1jBc2FHNavDcKmazPELxukxWDxYbPzyGv5l4Ozv3HhZ+ZcHS54aGw2WyDikt3d/ewzePjdWyjcfCcWkZGBkAfU9OxMGFKkY8VmUyGxWKhqqrK6akVExMzKtX/Pte+FD5c1UZpczd+aiVqlZy3d1dy4XT78B6pVOpcuQiCQHFxMZWVlSQlJXGgWcK0MD1Vuh7noKmXfyrh3jPsdwjfZDfwn2umk1vXwXv7qkmP8bEn8GeGsjG/mQtSQ9DqW8hsMPD2OXZxMplM/PuHg+TVG3j8/DTOeN3+5X/nuhl8eLCGudE+VGl7eOTLfFZODaTbZGVfuZbmLhN6k5XZUd788/JpJIVo2L17N7F+LkilEkwWG4er28ivbuFQUTVlXTJKdRb4cfCGOF93JSlhGtIivJgUqGZygJpAjYowbzdm+gvcd0kqRkHGj3lNvLmjgopWPRWtejwUApP8XAn0cuejQ3Z35CtmhfFNdiOXpoWSGqbhwc/zWLHmIOenBHJBahD3fpbPLF8zZ3sJKGRS+8WoQsef1udx79IYSlv0bCpo4d1rp3Hd/zJZnuhPp9HC334qZ1eZvVk1OaaTNTsquHdBIA8EdvDSzhrySipYHKPB19eXh04L5YUttUwP9+TPXxTw7LmTRz19cmaEF1KJhHs/y+OlCxL5z1Up3PphDrvKdAg2G8Ehnfx4+2zOfG0/giDw5zPjRrXf8UChUBAQEEBAQMCAkccVFRXIZLI+jZwqlYr6dgO375QAlYPu89lVk9lf2cZdn+QS5evGixckUtPWw792VnH93HBq2wxc+U6Gc/u3r0kh1NOF/+2v5ZvsJlalBPLqJUmUNHfzTU4Tq7eWMzfKm9/NCyPc2xWbIFDfbqS2zcCByjbn7JVuoxW5TIKniwJPNzmeLgpmhGtIDdM4v8+TAtx56cJE3vmqgce+L+fli5Oczgl/PjOOOz7J5cXzE4mNjcVsNjO7LovMOj1Gq5Xt27fj5eWF2WihWduGn7cnFqtAp8HidJvYXfaLlY2h30jw/rNgjpWhVi7d3d0DvMaOhYceeoizzz6biIgIOjs7WbduHVu3bmXDhg2Ulpaybt06VqxYga+vL1lZWdxzzz0sWrToqN3mfzXiIpVKKS4uRq/XjyoM1ptXNpdy66JodpfZG/devDAJq03gUFU7ty+xhzgcORej0UhmZiZGo5G5c+fi4eHB91syCPdx5bI0e2NWc6cRvcnqzNmckRiAIOD0DJsZ6cXuMi1XzQ7n9W1lXDk7jBvfKeHuWR5IpRLa29v5ZMth9jRIeXjVDM543f66H+9M57kfikiL8OKf28po77Fw84IoDlbp6DJaqdT2sGSSH3ecFsPUkF/cVU1W2Fys4/vva9hX/suXJkgtJz3On6vSNX0sTRxybLTYqNb2kFHTzuvbyvvYbkwP92SKSkpyl5FQP08uSQvlwtQgth/I5Ks8Hd9VQmeLgXKdkakhGvzUSj74OS9z9ewwvspq4I+LIqnW9fBFViNfZDXyye9n8PGufP66o5nnLwrBw0XOnChvJgWoeeaHYtLCPbl5QQQv/1TG2utTuernC9ujZ8XxzA8lLP77Hr6/bTaPnT2JJ78r4v5lsfzn9/E8/nU+h9slzFV2otVWclGwhPcL9UwP9+DuT3J48cIpoxpBADAj3JNbFkRw388rmDWXT+WGdw5wsM7A+ox6BEFwCozVBo+cdeIExoFEIsHNzQ03NzfCwsKc/l9arZaamhry8vL5T7GSnNbBC1QuTwvB113BMz8U46KQcf8ZsbgqpHxwsJaLpwcTrHHhlg9+CX+9d900XBUy/revBotN4JrZYfi6K/g2p4nbPs5hcoCa81ICmRTgTkOHkT3lOv6xtYIOg4Vwb1f7tEhPF6YkeBDq5YKHixyz1UZ7j4UOgwWd3syOUi3/3F5Jeow35yYH2l2SbTYi1AL3To/ksW+KWH1JEnKpBBeFjHOTA9lRqmVVciAKhYJr5kax/xN7HmjOnDlotVrcpTXsPJCJn5uUzi45pbVN+Hja7WO+zm7Ex12BttvM3kEmY44nJ0pcmpqauPbaa6mvr8fT05OUlBQ2bNjAGWecQXV1NZs2bWL16tV0d3cTHh7ORRddxKOPPnrUxztppchwbAPDetPR0cHevXtxd3dn5syZI4bB+jP58U1suns+T3ydz85SLQVPLGV3mZbs2g7+sMgequnp6WHbtm2oVCq8vb2ZOnUqcrmcKq2e17aW0dxp4r/XTkcikfDG9nKSQjTMj/HhhveO8MaV03hrVyWvbinj/y5M4sHPcvn4plm8srmU589P4rkfCjk7SkGgwoCfnx9bDxfwbb0bq69IY/HLOwH49ObZvLyphNMm+/Hs90Ukh2qI8nX7uV+lG5VcytobZpIc+ouoHKpq483t5Wwrtpfxzov2ZnGwgLfQzqLZ08ckwGBfsbV02UtGv81uYFOBvf/Ew0XOjXNDCbY2EOShJDU1FZtEzieHa3n2+yIA/NRKAjUqVHIph6vaCfRQsWKqP3n1XZw/LZCHvrSHC8+KUbE03ptPCw1Ory/Hsf+zu5qGDiO3LIjgye+KOS8lkNe3V1Laomf1RVO4e729JHvTHXNwUUh54IsCbl0YQUqohpd/KsfTVc4Nc0Pp7OykprGF57c2EOZqpkqv4OElgYQF+o3aByyztoM12yt58YJEGmsqeH5HK/vrjMyL9uK8lCDSIjSc8Y/9XDojmL+cfezd1eOFw5RxMFwVEu5cGM7bBxrQdpu5enYoU4LUrM9o4LRJvtS1G/jfvlrn9uuuT6XLZOXDg3UEeKi4ZnYode0GPjpUj5tSysqpgcyK9ORQVTubi1qp1PYQrFExN9qbuVH2HF1tu4GSJj2Vuh7MVhuuChkquZQQTxUpoZo+om+1Cewu0/G//TXcsiCC6aEebNu2jYULF/JTcRuZtR3OcGRzp5HVWyt4dpXdQuhwdTvX/Ry6c5QR3/tZHs+cMwlTTzf3fFZIjIeNAHkPKUGu3PSTiSAPBZMC1Wwv0eHpKqe9x8LZSf789fxjLAvsx1Azaf76179SUlLCBx98MK7HO1Gc0isXQRCc1vJKpZKoqKgxC4ujf8NdKXMm+CQSCZ9n1HPfsjjncWpr7V+q6OhoIiMjncvz9Yfr0LgomBbmaS8qsAnsKdNy84IoNhc1Mz/WB5PF5iwL/im/CU9XOXvLtJw7LZivs+qZHenNZH8LlZWNVDRo+a7Jg1evms7Cl3YA8M8rUnhpYzErpwbxl6/zmR3lhU2AbUUtdBgsnDctiKdXJToNLEubu3noi1ynBf7N01w5c0ogndom+1S+6UdX+i2RSPD3ULFiaiArpgay4ceN+MQks7Ggmb9vtYdWUsNU3BeoZ2akF9fOjeDymWF8lVXPI1/m09JlwkUhZXq4J50GC2/vqeHsKf5sLmzlDwsiMFntHmE/lDXw9R9m8urWCmZFenF5WjASiYSb5kewqaCFp74r5smVk/jPbnseJrXLxN3r85yJ/mX/2MfXf5jJyxcm8uAXBVw1O5R7l0bz3z01/G1zBfcti2GqlxdvxUTz4Of5zPCT8NedLVwb14BSYnOGj3x9fYdsYpwWquG2RZHc93k+f0x14f55nvwnT2BDfrPT72zjHXM44x/7sAkCj6+YNOb3ezzpNFhIH8YL7JaZPmwsbuP/Nlcx3Q+uTPRgX50OhURgbpQXL/z4y6C3tdenUtdu5LXtlUwL9eDh5XHsrdDxzA/FpIZpeOSsOLpNVr7MauC/e6qZHenFlTNDUMikfHy4noe+LMBi63tP66qQopJLMVps9PQLQy2J9+Hh5XEEe7qwMM6HtAhPHvyigK5p9tyHVCrlrCn+bC5soaXLhJ9aib+HitYuk7NgobdI2QQBqcQeInZVynFRaOwrPW83liT54SU1wE8FNHSaOS2gFZDS3mNvUbh1QcSx/ioGYLVaB71unYicy/HklBUXi8VCbm4uWq2WGTNmUF5eflSroC8z6lGrZOwt11LRqmdamAarTaC9x0yQp0sfK36AkJAQp7BYbQKZtR2o5FLuPt1+x7SztJX5sb5IJPDBgVpeuSSZd34uN/7+jnmc/Y89rL1hJv/bW8VZSYH8bVMJz58Ty4EDBzCZLXzT5M2zFyTw2Ff2cuKXLprK//ZWc2FqMA9+nsfZSYE0dBgob9XTY7bywgVTuCDVnhdq7jTyt00lfJ5Rz6RANd/dPo9Yf3d2795NQ3U5ISEhJCYmDnpnbrUJ9Jh/CXs5QmNuStmQeSupBDTWdmapGrjmxgQabR78Y0spV799CIkEnj9/CiunBnHxjFDOnxbMe/uqeWFDMUeq2/F1V7Ag1pvv8+yrn8DZoZQ2d3N7mprXDnWx6o2DPH3OJNoNFh78soC/nBWPh4vcWenz4Bf5PHJWPHvLdbR0mXjozFh7nP2CRO7/PJ9Vbxzkwxum89KFiTz0ZSE9Jiu/Tw/n0yP1PPN9CY+eHYeLQsZfL5zCg1/kM39yCOtrOnjijHAMXW00NTVRXFyMi4uLs1ve29u7T/giOVTDnYuj+L/v8/jTHA0vXpBgF5WCFiSAIOC0j7HZ4MlzTo7AOMYIDMa8ABtBQUG8ebCJxEA1/7cklC0FjeS1mkhQm/j3nl9WKq+eF42gsI8lmB/rwxMr4vkqu5FHvynk7Cn+PHduAluLW/nLN4UEaVScmxzIjHBP/m9jKf/YVgHYe0TuOT2apZP9CNLYp0labcKgI6stNoH9FTpe3VrBma/t56b0cG5bHIWbUsbfLkzkgc/zSFbCaT9/nk+f7Mv2klYuTLUnoOMD3Clu1jMpwB2Nyy+/N0ezpSNm02O24aqU0dxlIkDjSo/5lxDxpPhYKP3FUaAq9yCdvXJXrq6ux1zNdaLCYieaUzIs1tHRQUZGBq6urqSkpKBSqThy5Aje3t5ERUWNaV+TH9/EI2dPoqixi08O17H60mTi/d1Zf6SOW+cFceTIEdRqNVOnTmXLli0sWbLEede/raiFH3IbUcqlPLnKvlS+6+Ms/rJiMkWNXRysbOO2JTFMefInkoI9aOgwkhruicVq4+lzp7D6pxIunKKho6YIjUbDTxUGwiOiULvIeeCzXP6yYjK7y7TMivTihQ3FnJ0USH27geLmLrqNVr68dQ4JQfawkWMcsptSxosXJrH054qWiooKCgsLCQ4OZtq0aYC9Om5vuY7S5i7KWvToTVYsVhsmq83ur4T97k4Q7A1kSrkUV4WMKF83ovzcSAv3JMRTxaZNm5DL5aSlpfWxD2nuNPL+vmre2FEB2D3HLpwegkwqoaXLyGNfF/BTQTNyqYQ4fzcsNoGSZj2nTfKlrb2DhABXDjdaKWzqZk6UF7cvjuK1bRU8vDyOGD971VBLl4lHvy7kmtmhdBqtbCxo5tzkQG7/OJdnV03mka/tYba3rkpheriGR78uZHG8LyuSAlh/pJ78hi4ePisOqUSC0WLj/s/zmRrsweHqdl66MBG1So7FYnFWYLW2tvapwPL19XWWiX67L4+PczpYc80sXBVS7vg4l20lWhbF+XDO1ADSIjxZ+uo+zksJ5JmfwzQngrIWPee9eXDQ51wVUm5dEMFr28qRy2XctSSaLqOVzNoOzp8WyJ/W5zu3vW9hICqrns/zO4nRCCyK1rC9XkKnRcrls8II9XJh7f5aGjtNnJ3kj1ol5/7P8505uotSg/h9ejhNnSYe+apg2I5/B7ctiuT36eFO41GHBU3w/7P31tFRndH+92c07u7uQiBASIJDgRZrS1vqLrTUlZa6u7fUqVChLbRoi0uIEZIQI07cXSaZjL5/nJlJhoT6ve1912+vxWoJk3Nmzpzz7Gfv/RV7C3bdNg2ZRExDZz+P/JjPV2sEr5MBpYYndlXw+iqBFPh9XjMedhbMCXNBMaIxKSwUrZ+NXq/nju9LeHd1LOVtg+wqaae8TcGHl8WxJb+FJ3dXArA8zp0dRaPirxl3TjYBJXp7e01tcmOy+SsipAUFBbi4uODr62v281tvvZWAgACee+65P33M/0L861DkPxN6vZ7GxkbKysoICgoiJCTEdIw/K14JAocDYEmMB4fKBYZ+cpAzh8o78LJQk52dbYY6E4vFZuf4uaAFnV7PNclCqdzap0QqFuNqa8Gj20p54YJoE/P/yeWRXPxRDjekBnCwrIMBpZq+/n5665uJiYmhT6nleGYlq+c5s+SdTOZFuDKg1BDsas1r+6tIDnamuW+YynYFw2ot2Q/NMdgl63l1fxWfptdx6+wg1swOxFImIOeMcjcuLi5ILG35+WQz+8s6TA+9Xg8iEaYhqI2FlN5hNf3DamwspDhYy9AYTMMEUuUwx6q7+CKjDtRDuMlFLJsaiKWNuYeGm50F9ywM5dY5QXyeWc+j20t5YmcZn1yZQEqIC+9fNoncuh6u+CyXsjYFDlZSkgIdOVTRhY1MhL+jjmBXa5bGuvP6wRqya0+y+7ZpPPtrFTem+DEtwBFXWzlvXRzDE7sqSA5y5OLJXnyR3chnV8Zz/aZC1i0K4cW91dzwdSFvXRTN8ysEyXzFiJaLp3jxY34Lz++pYv3iUCykYl4+P5IHfipjqr8D928tNSUYNzc3kyyR0SCsq6uLmpoapFKpsChYqlkeZsVDPwtD/ncuieH6TYUcrepGp9cjl4g5eGcS898WWmTPr/iflU/X6fVc+2UB+Y39E/77ukUh/HSyldcP1ZLqoeecxGB2l3SwPM6DE/V9HK0SgC03pPgxO9SZjZkNhLk78syqML45Xs+200Ms9oOuvgE+OdCHvbUFy+Pc2VUxwkM/C3D565P9SA5y5KZvithyspUtBkM4Y6QGOzEzxJkYL1tsLKT0DaspaxtkV3E7JS2DvHdUkG5J8LVn41WTCHGz4di9ycx8PZMHfyrjjYuicbaSYCmBmq4hglysTUCAEY0OC6kYrQ5TRXTmDnpwRIuNhVAt5NT14eNgyaBSeC4+zjAQVK1lZonlplQ/7OzsTOZkY1UD6urqKCkpwc7OzpRo/uj87rcql//XFvtfCGMbrKuriylTpozznzBCkf9MVLQLEt9KtRaFSvhdOwsxR4pqmOGiZMoM8/OMhSN3DapQjAi/Y6wefsxr5qIp3uTV9xLkao2TtZzbvhWGiHduLmRZnAffHG/kzjn+PPlTLkv9MSHOXt+cy8oQKUveEYQsr0ryY2t+C3n1vXg5WDKk0nCqZQCdHg7ePRNHaxmKEQ23fVtAVk0Pn18zheRgYUCvUCjIz89HLpfjF5nAS7uK6Fe3YmdrjU4nwHw1Oj1ZNd1mWP8/EhIxeFuDvZWM2kEdH2e18lVeF+Eetqye6kO8z6hGlaVMwprZQVw2zZfX9ldx3Zf5BDhbseHyBKb4O5L38CzeOVzDZ5mNZNf2EulhQ0f/MNvKB7l2hiPpp3t4Y1U092w5xXnv57DlpkQ+OlZPS98IK+I9sJCKeX5FBM/vqWLQRcsdcwJ5/WCNSZLl3vlBvH6whrt+PMXbF8fw+HlhvLCnmi35LVw02Ysf8lp4fk81jywOEVpkF0Ty4E+lTAtw5IGfSnntwmgzufYzEVjGhaWzsxNnjZqpDjbc8U0uzy8P4+PLY7l8YwHHqnvQ60EmHU0wWp2el/7hobAxDld0cccPJRP+24o4d2QSMS/urSba05ZnlobyfUYFrf0j2FvKeGynAL6YFeLMzTP9+TK7kf1lndw+J5CfClrZkFbPtcm+tPQJpMgID2fmOmt57WgLh+rq8bbWs2aSJR8UjPBZZgOfZQqLtJ2lFPR6BkZGN2bpp3tIHwP3NcY1Sb58duUkxCK45ssCTjb2M/mFNLIfSMXBSsa+O6ZzzjvHKWkewN8O5vuK+Can2YTK87CzoGdIjae9BTr9aLutrstclaJjUIWbrTDnyGvoI8HXnqQgR2DUs+WKaT6mdp7x72NDIpHg4uJiWiOM7pPd3d2UlJSg0WjMuEZnI0T+FkPfzm68+dn/lfhv2uOdEQMDA2RmZjIyMkJqauqExkYSieRPt9i+O9FEoIs1GdXd9A1rcLWRkZmZSXO/ipXzUyZMYMbKZVtBC3aWMhZFC/awGq2OnLoeZgQ58W1Oo8EUS0he9y0MpaVvhNvnBqNWq0jLzsVCKmblghTs7OzIb+hFLBJT0C4c+42LY/kwrRaxCJr7lPg4WnGqZQCxSMRPa5LwdrSktU/JsveyOFHXy47bZpgSS3t7O5mZmVjZO3Oox5Gnf62mb0SPRAT9wxqOVXdzuKKTY1VdfzqxAGh10DAIJR1q6gagvmcEK7mE0tYBHt1WyvVf5vFDbpMZbNnBSsbTy6M4fO9MXGzlnPduJm8cEAbEd80N5KtrEgAoa1MgEkGcu5zPsxqxkUvYnNfMU0sFFM2qj3NZHO1Kefsg7x2pRW8YzK5fHEr7gIqjVd08fm4Y7xyu5curJ/H6wRrWGAawd/5QwrGqbh5eHEJR8wA7itq4eIoXYW7WvLi3Gr1ej5VMwkvnR5HX0EeinwMPbytDrZ34nhKLxTg7OxMaGoqXlxdeXl4sivdntq+U+38oIi0tnfXTZfjYy0g/3cPXOU1UdQ5x6K4Z7C7p4IGfSic87l+NwRENcc8dPWtiuWd+ELtLOthd0s4DC4OZ7GdPxuke/G31fHCsgf2Gyv37G6bgbCNjW2ErN6QIChob0upYHOXG7FBn3jlcS+egiihPWwEgcbSF22YJ3KzmIREfFIxveQ0oNWaJ5bfii+xGkl5J5/bvS/j2+slsujYBEKTz1VodnvaWLI9z584fSgQosr2Elr5Rpv1YYrZGp0diWMxPd5krD5xs7CPOx840ayxuGWB6gCNdilHy5JlzIJffkf+3sLDA09OT6OhoUlNTmTp1Ki4uLvT09HDixAnS09M5deoULS0tZsTF3yJR/tPyL/+b8a8ml99rixnbYFlZWXh6ejJt2rSzosH+Slvs25xG1s4ViHq1XUPMdFPh7OKKk5PjhCihsW2x7NoerOUSk/7Xkcou5oS5otND77AaD3tL08yhpKWfQBdrPjtSToy8iyMdlqw/PxGZTGg7vX3wNNcnebGrVkucjz07i9pYHO3O9sJWzo3xQDGiQa3V8/GVCUR42DI4omHJOxmIxSIO3jOTcA9b9Ho9VVVVnDxZQLXIizdzh6jpHEKl1dE9rONEs8BXOTNC3GyY4u/AZD8HQUXZ3oIoT1sm+doT5GqNq0HiPMhRiusEADOlRkd2TQ8lzYJycr9Sw5dZ9Vy58QSfZ9YzMgYk4OVgybc3TOO9y+L5MK2Wma9lcLpziARfezLvTyE12InOIR31fRqm+NlzsKKLpl4lGad7uSHFD19HS+7dUoqTtQwXGzmP7axArdUhEom4Z34QUomIzXnNPLs8gneP1PLNtQl8cKye6wxihWu/LyG9uofHzhWAAHtKO7gk0ZsgF2tePXAavV6PtVzCy+dHklPfR5y3HY/uKP9DSVgikeDl5cVVC6Zw1Zwodnc6YWtrw1MzZNjLBAjtuwfKKapt48Ad0/j1VIdpLvR3Y0NaHcmvTowEu3WWP2HuNrxxsIZVCZ6smRVAWnU3wa7W/FLaxa4GYVH78upJ3DLTnw1pdaxK8MTRSsYHafUsiHBlfrgr7x2tY1itxd5Sykv7qvkko4Grpgs7+ffTJiZhGiPUUcwtUVreniNjy8WeHLolmvyHUihaP5ui9bMpeGQWe26fzp1zA02/k13by6Tn04j2tOW76ycDmCqr+xcE0z6oQjOBUK1YBFpDctHp9Bj/Oa1aaPVNMkD1s2p7SQpwpKxtkAgPW/qHNThZy3j2l1G/mt0loy2xK8+oWn4vjD4+fn5+TJo0idmzZxMTE4OFhQWNjY2kp6eTnZ1NZWUlKpVqwrXQKM75fzX+s5WLRqOhqKiIiooKJk+eTFhY2G8moz/bFjPublKDnWnq6AXg3MRQpM6+hLpN3Oc0VkdqrQ6xCFr6lPg6Civu9sIWzk/woqCxj0m+DvQPq9lR2Eq4uw2/lrRzU7wlxQ3dxERF4uPmhJ+zsCP5NqeR82I9eDtNQOWsmiwsdk/vKmd2mAs1XQoKm/p5+cIYkoKc0Wh1XPHZCUQiEdtuTcLD3gK1Wk1eXh619Y3s7XUjv1UQ2OsYVJFX30d9v/l1SQ52ZrKfA/E+9gS7WpPg68gFCV48uSySjddM4bWL4nhuZTRvXhzHW6uiWOavI8FVxPQQN5KDnfG0tyDY1RqXM5LNkEpLUVM/Fe0KpGIRW/KauOrzXLbmN5st0Asj3Tly13RCHUVc8HEeb+wtRS6GDy6L445pDvSN6Mhr6BfaZAMq9pR2MKLRkRToyPI4d946VEt15xDzwlx4eFs5KoM8x40p/vg7WfHhsXqeWhbOm4dq2Hz9ZDZmNXJzqlDB3La5mOzaHp5aFsGBsk4OVXRx6VRvnKxkfGrotdtYSHlxZSRZtb2EuNrw3K9Vf0qmaGGkGzPD3dhcqWP61ET23jEDK5mYknYV7x+pYdeRbN5ZaMf2wjae2ln6lyWQ6rqHiXvuKO8fHb+4T/KxZ1WCJxvS6pFLRDy9LJyGXiVSsYiy1kGeMSyiFwfpeHppOO8drSPGy44ZgY68n1ZHor8DS6Ld2JBWR/vACIMjGl7YW01BUz9uBu28r443jTsvCEjDr69NoPCRWRStn81Pa2dyy/KZ+PoH0jWkobisgqNH04R7traWwYEBvOwtuCnVn/yHZ3FT6qjm4JQXj5m4TruK21FrdSbCb2XHkEFXcFT/SywWmVBgbQMjuBpe+4vBE2jVZE+0Oj39wxocrWXk1PXiaCUl3CBGaazgrk7yoaJdYXofd84L/NPfz9gQi8U4OTkREhLCtGnTmDVrFkFBQWi1WtRqNQUFBabr0djYiFqt/kfRYhs2bCA+Pt6kup2cnMwvv/xi+nelUsnatWtxcXHB1taWVatW0dY2XsTzz8R/cuYyMDDAyZMnkcvlpKSk/CFOxp+tXHqHhQX4aNYJBpTC/6dEB7CzqJXYMUTEsWGsXKraFXjaW9I7rBY4DTrBgMvZRs4XmfUsjHJna74geXL7bH/u/LGUsrZBrp4VzvdFPTyyRICkanV6DpR38s7qeB7dXsoiP9h7qh07SykWUjEqjY6y1kEm+dqzcpIAr3xyZxllrYMcvncmthZSBgYGyM/PRy2x5NtGOyxkItQ6Hcdre83eu5u1BBsrC+wtpQS6WLMoyo1pgU6/aQPc29tLfmkx80JdiImJMZXuA0oNmae7+f5YCa0jMtoVGpMJmTEKDMPkcHcbPk2vY0t+M3fOCyYpyJnu7m5OnTzJI6nOFLSreT69g53F7TyRakuiC7ww15GHD/dS1qYgyMUKpVrHpuNNXDvDl+Y+JbfNCuD9tDpa+pRcMsWLB38u5cWVkVjKJKxO9ObnglY+y2jk6WURPL6znO+un8yln+Vzz/wg3jhYwy3fFvPpFfE8tyKCh34uQy4RcUOKH68eOM0PeS1cPMVL2MUuD2f99nIm+znwxqEa7p0/sSDlRMlhZbwnvcONfJBWz62zAzh6TzLTX06ncVjCkW47AnxteX2ejnsPdTDQ08mN09xMtse/59mi1+u5blMhufXjK1GAO+YE8lF6PSUtA6xbFEJd9zC59X0EOlvxyn6BbzUzxIlVca58cKiCcI2OiyZ78XVOE0tj3VmV4MnnWY0kBTrSP6zhrcO1JiXg9gHVhOcUAXvvSMLT3oIuhYqTDf28sv809d3CrEMkAkcrGVKJlAGlE0MjKhR1Knys2wi3riPYQWSCfN+S7I2HnQXPGlwvN6TVkXZPMrPeyGRPaQfLDGrfJ5sUJNqJcbCS0TOkxsVGjkarx7gHre9W4u9s3oFYHOVGWesg0QbjsJON/UR62DIjyJHW/tH22pneMEbZ/X8qxsr1CKKxkxgaGqKnp4dnn32WY8eOoVKpOHToENHR0X8aBXtm/J4L5T333MOuXbv44YcfcHBw4Pbbb+fCCy8kPT39L5/zP4cWa2xspLS0lMDAQEJCQv6wSc6fTS4V9QJ6RSWxol+rRSZRI5eKKW7u57rkiYlSxsqlsLkPrV7PZIPFbXWnglCD02FxywB3zQ/hqo0CBPTlX0pJ9rWkctiKW8I9OHq6D0+DX0VaVRezQl241KCS7G2tZ9jOis0nmlgY6caRSmEX9fYlgrbP19kN/JDXzKbrEvFysKS1tZWioiL0Dt58UTyMXCKiqXeYslZzL/IETwvUWj1XpAayMt4TqSGh6HR6DpV38E1OI0crz+6JDu2wpR13OwuuTfbn0qk+LIp2x6anktDQUBqUFvyQ28Spln66FGqzvnVFuzBHifK045nd5UQ4S5nj2EtCTASenp5ERuqYN0XF5Z/ls3a/gvVTJXjI+3k5Rc5zuTpquobxcbAgysOWz7MauWq6D4XN/aZhfWOvkgfPCeGBn0p56fworOUSzp/kiUojJKSnloXzxM4Kvrk2gcs/P8lTS8N4YlclN3xdyPc3TOGFlZHcv/UU9pZS7lsQzBM7K3CwkrIoyg1Pe0vWLwnj+T1VRHva8llmA9cn/3El72uSfHnzUA3f5DRx+TQfsh5IJemVdGp7lHxzSsKD50SyPVzPig/zcLYbYr5nL8PDwzg4OJjgzmcKTv4Ww351ohflbQreOVLLBZM8iPK040B5J7NCnXnVkFQAPrsynm9PNJPb0M8CXzhS1cUUPweuT/bly+wmJvnao1TrePtwLQGGxblyzC5+bLx5UTTzwl0obBrgy+xGqjuHcLaWMdlPqJyCXK3HLdTG0Ov1nGodZFdxG0VtQ1zjbkFTU5Pw/NvYEOYso7JbzftH67jVMNd582ANy2I9CHWzpq5HyVR7EUMqLTYG4EVLnxIve0vUWh0SsZAkxjqtWsslZNb0kBzshEqjQ6PVU9w8wDUzfLl/6+gc7HODVTLAJ1fE/eb3/HdCr9ej1+uxsbHB2dkZX19fvvrqK9LS0rj00kvZv38/b7zxBsHBwdx3333ccsstf+k8y5cvN/v7c889x4YNG8jKysLX15dPP/2Ub775hvnz5wOwceNGoqKiyMrKYsaMGX/pnP+ZtphGo6GwsJDy8nJTG+zPuK/90eRiFJ1MPyn0u21cvekcVJFiGIg39gzj6zQxK9tYuRQ29aPW6pji7whAfn0fU/wdaetX4mYrZ0SjZVitY3mAnkYFXDwjlORgZ45WdTE/YlRRdWt+M6khzlR1KLh3XiAZrdDQPYyDldRwDj2PLAnH08GSstYBnt5dzqPnhpPo70B5eTnFxcW4BUbyWeEQer0w1B2bWELdbAh3t2G6rzWPzXJilYFrsru4jYgn9hP11AHWfFNglljkEjFnaz62D4zw8t5Kpjx/mIgn9nP93mGO1fSR6O/ASxfG8MW1iVyX4k+gi7WpdSJcczjVMkBn/zAn6vv49LQN1cOj19jT3pI9dySxIs6d505oKVM5MT0+kg1L3Yl0EtHUN0JLr4IYdwu+Ot6Ej4Ml6ad7eGChIGb5wE+lXJ0kLA5GBN8lid54OVjwY34rTy4VWmRfXTOJJ3ZV8soFAlLrkk/zaB8Y4fkVkbx9pJaGHiWPnxfGr6c6yDJosAW7WnP3vCCqOoao7x5mV3E7fybumhtIZYeC3SXtWMslZNyXQpdCTVOvkpf2VqFHzLZbpvJtySCVYl9mzJiBh4cHAwMD5OXlcezYMUpKSqhpaCbuuaMTJhY7CwnXzvBlc24L3QoVzy4Pp2dITbdCRXZtrymxvHZhFDek+PFdbjOrE71oH1RR3C0oH5S3KThU0Y1Gp+f9o3U09AoVR1338Ljz2VpIyH4glW+uTSC3vo9bvi0iraqblfEefHBpLC+sjOSiyV44Wsuo6x6moKmfk419NPcpzQASIpGIGC87HjwnlKuSA3nzhILAyHhTy+j2qaPt6WPHBeHWtoFR1j0Iz+SIRoelTCIs1AiD+OqOIZO19eEK4f6OGlOtJPjac6C8k2BXa5xtZFjJJCYI9qWJ3mafN2mM/cU/HcY1a+xaJ5fLmTdvHlqtls2bN9Pd3c2rr75KRMQ/w5HSarV89913KBQKkpOTyc3NRa1Ws3DhQtNrIiMj8ff3JzMz8y+f5z+RXIxosOHhYVJTU8d5ivyR+CPJRaVSceLECVpaWsDJFzdbOe39AmpjfoSbYbcjOutsx3iOjoERehRqIj2Mnty9JPg6cLSyi5QgR344JFQti6dFGv69j3Oi3Dlc3sG8cOGztfUrkUnEPLJN0MOytZTiY60n43Q3ER62DCgFOOWVSX7o9Xqu+SKP1BBnLpnsQW5uLu3t7cRMnsrr6cJiN6LRUdg0ymuYG+6Kn7MVX1ybyMooB8ToeGN/FZFPHuCeH0ZFB8ddI61uHCfgt+KRX+qJfPIA8984hkan56aZgWy/NYkbUwMId7fB0WqUVNaj1NE6BDpEvLK3kqd3V5rkzGUSMc+tiOTeZCfeP9HPmxmdREeE8/2tM7l4kju9I3oqO0eIctSzOa8FV+kI+0+18viSEPqVGtYZbGsf+KkMpQFEcHWSL9YyCbtL2nloUSgfpNXz2ZXxPPBTKe+vjgXgvPdzGNHoeG55BE/vrqBvWMPzKyL4IruRUkOijvW24/Jp3gyptBwo7yTHYDI1Ns52z4hEIh5dEsbhii6OVXdjZynl2L3JNPYqGRzR8tyvlcgkIn64YQov7zvNztJefHx8iIuLY9asWcTFxbGjWs2KL6smPP5tswKQiEV8ntXIXfMCWRjpxtGqbuytZCYHxlUJnry4MpLNuc3EetkR4mrN1znNrIx1RSSC73KbTf/NN7gtdhuMscbGxZO9yLgvhXvmBXH3jyXsK+9kZbwHH10WxxXTvKnqGOKV/adZu7mYO74v4a1DNWzJbyW7ppcTdX1szGzk/q2lrN1czE8nW83aqAm+9jy4MISX91UjlUpxd3dn/rTRiqGwbxTIk56eTmvvEFYitdl1b+0fwcteeF1xywCxhlnNS/sEZOIji0MYUgmKyzKJmN0l7QyptKya7EV52+imrGAMP2hlvMeE1/2fCuOadSZaTKVSodFosLOzw97enhUrVjB37ty/da6ioiJsbW2xsLBgzZo1JhfK1tZW5HK5GREawMPDg9bW1okP9gfiX0eLNTU1kZWVhYeHB9OmTfvLdse/l1x6enpIT09HJpORkpJCdbeKKC872geE5JIS4kx1h4Iw97OTlsRiMUMjGgGiKMLUXupUqHCzs+BwWRuyzkoyGoW20GuHG7gk0YeariE87CzQIyQRGOXElDQPMCfMhV9PddAyJBC3BkeEyufdSychEYvYVdxG75Cax88RdhJSqZRpSUk8u7cOvV5g3Bc3jz4Q4R62RHra8t6lk3C2kXOkdohLtnaY0Gv/E9HUq2TWq2lEPLGf6k4F16YE8O0N07g4wR27M0jLFe0KhtU68hr6uG1ziUnfDWB2gDUvLXDm58I2bvi6ELVWz+PLIlk7OwCVDuqGJMzwt2VX1TCOYiXfZVZxU5yc9gEVT+8q56rp3jyyvdy0Q755pj8jah05db3cmOrH1zlNvHNxDLdtLmbjVUK7cd5bWVjLJaxfEsb6HeXo9PDCikhe3V9Nq2HzMTPEmWkBjrjbyfkko4GqjonbRBOFRCzi2eURbM5t5mRjn4GvkcSp1kEsZRKe3FWBk7WMr69N4OlfKtlRJAxSG3tHmPVeIV8XjSdDxrtAnLOe99PqiHKV8/DCADJP92Ajl7C3tJPthcIxPr48jo5BFS39Si5I8OTbE00Eu1oT723HVydakYqFYfevBhkelXb81uLpZeH8fHMiYhGs21aGraWUdy+JZWWcB2lV3dy2uZgX91Wj0em4eIoX71wSw3urY3l6WQT3Lwzm5pn+3Jjqz/olobx1cQyvXBCFVCLizh9KzMzJIj1t8XWyJHOMCrGVwQUyu0WNu51QDcfExNCj1GGhHaats4ehgV6qq6vJqW4zDeaLmgaI9bZFqdaa2mIJvg7sLmlnYaQrDT3D2FpIqesZJt7bjtsMFWGomzWlYxLNI4v/Z1WttVqtiaA9NhQK4f76J+VfjC6U2dnZ3HrrrVxzzTWcOnXqHzv+mfGvzlz6+vooLy8nISHBxIL+qzHWLGxs6PV66urqqKysJDw8HH9/f0QiEaWtAywzGIIB+DlZ8WNeMzHeZ4f+SSQSyjuHEYlEpoFgt0KFo5WMmroGWju6CJ8RzKG0GixlYmo6h3jNoA12uLKTOWFC1aLV6cmp6yUpSCi3J/k6MKBUs7GujzlhdmTV9OLnZEWcjz2KEQ33/VjMtYmuVBbnm+yaX/i1AqVGR8+Qyqx14e9sxV3zg1kY6Y5Op2fSswfH+VGMDUcrGSuiHLAb6WBOXBDxkSHjduF6vR7FiJa67iFO1PXyQ17TWXvwABd8cByAjavDmCRpZMZSX746NUJF2yDNBk6C8b8Bzlbc8X0Jd80LYl64wCsKdpSy+7ZpnPd+Dis/PMGPN05hzawA7CylvLi3mtIOJanBThw63cNFkzzIaR/g+jgrPisa5rVfilkWYce6LYU8f340FnI5d8wN5MldlXjaWbA8zoP95Z08uiSU674qNHnDXPxJHtvXTGXNTH8e2V7GKxdE8cR54Ty2s5y3LorBWi7h4ilevHmohkQ/B17YU8ULKyNxt7M4qw/92JBLxby4MpJ7t5Zy/4Jgwtxt2LFmKss/EPxsjOc0Kgw8sv3sMOVbZvrz4bF6HCyl3J7kwPG6fo6fqqG0Q8zxOqHyePLcUCo7h9he1MZlU7357kQzk3ztuXiKQB5N8HUgq27gN9/zS+dH4u1gyZfZjRQ09gsWxrZydpd0cMcPJfg7WXFOpCvXzPClS6Gmom2QA2Wd1HYPMziiMSAERbjayghwtuKcSDd8HC2xlktYHufBjEBHHt5ezhPnheFnaEUvj/Ngc24zKcHCsxHpYUt+Yz99wxoTmMDJSfi3aaGeDAwMEOYpZ2RkhGMlTcQ66cnNb6e2XY2dRMvhitHErDfovr19cQwfpNXhaC0j3scerX4UqDDJx56qjtGEN5ZE+z8Rv+VCabRO+KfibC6Uq1evRqVS0dvba1a9tLW14enp+ZfP969WLg4ODsyePftvJxaYuHJRq9WcPHmS2tpapk2bZqZm3NSrJNLTzlSai0QiSloGzHxQJjpHeYcSzZh5S25dDx7SIX45Uc6sKG98/AMBuNAgJlnTNURSkBMHyjpMel/HqrpIDXHmzs1Ce6qhZ5iOQRUSkZ6GHiUjGh1PLBNaam8dFEr6BMtOJk+eTHBwMCcb+8hv6EOl0Zot8lP8HbhnQSgLI93pGVIR9dSBsyaWNbMDOXRPChtXuBEg6qRb7s7tu1qIfPIAEU/sN/sT+eQBEl84zL0/FjOg1PDaRXGUPbmA52bZsiD07Nfrus2V3H5MRGJMOB9cPonb5wXjaW/OUzImxtcPnOYjQxtHrxc804/cPYOeITWz38ikW6Hiimk+gpjlsIaSlgFSg534saCdCG9HTg1acPe8QMp7IatZjY9siHu/yiAnJ4fa2lruSvVgW1EbrrZyJvnY09SnZFWCJ9d8WcCLKyNp7FWyfkc5Cb72nBfjzsv7TuPvbMWtswLMuC53zg3kdNcQ8yNcWb+j3Ky183thYyHlhRURvLSvmsbeYQJdrPnuusn8XNhGpKct67aVmXzaJ7yeBsfGD4/Vc1OKH1dM96WoC2ICPTnQLGZADZM85FwdKeabjEpcdd3oVcNsO9nMFdO8KWoeoKBxgMKmAT5KFyDKE8XzKyJ4f3Usu4rbOVDeyUPnhHD+JE8+zWjgyV2VuNjIePn8SFKDndhb1sHt35fwQVoduQ39dBiUr70cLJkR5MSamf6smSm0SDek1XHvllN0GLoFbnYWPHFeGK8fqDEh7gKdragdw6Y3asmNJTQavwtfOwnFXTrOifMlOjqaXokjK2dPoVZpSYSDjpycHB7bIcjRPLfYl4KGXsLdbZCIRRS3DNDYM8yyWHeeMeiIAWYyNd9dN/kPf7d/NX5PtPLPzJ3/bBhdKBMTBc7dgQMHTP9WXl5OfX09ycnJf/n4/zoU+fdgl380jMnFuIs0iltaW1uTkpKCXD6eXevvbIV6DP+itV+Jt8PZ23JisZjKLhXIJEzydWB4eJjdx0uZ4SWlTeLPnAh3E1HRqFuUebqbG1MD2FvabsLn7y5u496Foby6r4p7FoRwoq6XjOpuAm2hunMIuVRMarAzLd0DfJHVwE1xMubMnIa1tTVanZ63Dp5Gp8cMbhzqZsOyOE/Oi/WgvnuIc96amFR31/xgbkwNpLV3kDs3ZVPUISyOnvb9XDjZixlBzvg4WmIhFZtgyu0DIzT2DpNT28tX2Q28c1gYENvKRNw324u3Lp9Kxulu1nx9kon4hgnPHeK+haHcPCuQmSEurPuphPK2QROqrLpzCF9HS3451U5lk4hrYoVdrLONnIN3zeCiT3KZ+2YWB++awfmThJ3UYzsryK3vY1aIM5tzW7gpxY8T9X3cOsufDWn1JM4NZIq7jsMdgyyxHKShoYFlrvDSrn7um+tDY4+OeB87cup6eXRHOVdO92HT8SZivey4OsmX6s4hvjvRzKVTvWnpG+HV/ad5aFEIYpGIp5aGc9cPJcwPd+WJXRXcEC02McF/L5xt5DyzLJxHd5Tz8gVRxHjb8eFlcSbzrcwJjKlCXK2J87ZjY1YjU/zsuTnVn10l7aQGO3GkqpsjhkH0e6tj+T63GVdvBy7x17OzsJUFflrymvr5aH8PKpGUQxVdOFlLUWp041pgD50TQrCrFV9mN5Hga88zy8I5XtfLE7sqCPew4fY5gdR0DbGruJ1thW10DKpMc6k/EgfvTGJgRMu6bWWsXxJGsKs1fk5WeNpbUNGuIMJDQMbJxiS9SkP7Mc7bjop2BQm+9pQZ2lYSkZ6Kbg0P+tpT1aEgyMUaB3s7TrTD3eck4GApRpkuDKQ9tB28t6eeleHW/HBsGG9bCTqRFFsLCVsLhIRy+VRvvjnRbDr3b3Ux/qn4veTydxWXjfFbLpQODg7ccMMN3HvvvTg7O2Nvb88dd9xBcnLyX0aKwX9g5vJPhfEL0ul0NDY2kp2djbe3N4mJiRMmFgBXGzldg6MyDKLfeU8SiQSFSotELEI50CtI2SslXLggmZZBNQHO1mQa3CyPVnZxSaIPrf0jVHcqmBUyKiXTPaSirFVoSQS5WuNoLUOr16M2POv3LQihr6+X17cJ7aW7zk81lcff5zahGNFwunO0YnGzk7Mg0o0rpvvRO6SeMLEEOYg5dv8slsd7sfy9DM555zhKjYhvr59C2ZMLOHLfLO5ZIKDa/J2t8bC3xNlGjrONnEhPOxZGuvPwknCy182h/KmFHLl3JvMC5Dx1oJnYpw+yKbuBX26dyvrpFjhYjL+Gr+2vIuKJ/djIJXx8ZQKrJgtuh8YwWtyWtI/w5vF+k/y/tVzClpsS8XOy5Jx3sukZUnP+JE/WLQpBqdFR0NRParATH2c0EO1pR23XMBdO8uTtw7UEu9mhlVrSKPZg5syZTJ8cz93JLry4v55gTT07c0+zZoodGp2epl4loW7WvLL/NMequ1kz05+TTf1k1fSwNNYde0sp3xvsmi2kYp5bEcH+sg4iPWz5rmTwT93LXg6WrFsUyvrt5QyrtZxq+e32VHXnEDuL21m/OBQ/JytK2wbR6vS8flCQgn/wnGBuTvVnW2Erl0/zIa+hD4VGxPlT/DjWIcfTy5sTHXoK24WqqGfInFS7KNKVL66eRGZND7n1/Ty7PAIHKxkP/lxGt0LNQ4tCkIpEPLGrggd/KmVncTtHq7r/VGKZEeTI/LezqepQ8MLKSF7eV22qQJKDHMlrGDtXGr2WhU3CtblkisDzujnVn58L2vB3smRAqTFtgvac6mBJtBtDKi2DIxo87C3YUiCAXeaGORM1KRG5nTOJ4X7srx6gpb2LUFErL/w0qho9NrG8e0nMH/5sfyf+t6RfjC6UERERLFiwgJycHJMLJcAbb7zBsmXLWLVqFbNnz8bT05OtW7f+rXP+62ixfyrBGL+g4uJiE5w5NDT0N49vIROPMyb6rRhU6bGWilAOD5Gfn09IWAQO9nbIpBJ6FGqcrGV8mSWwvMvbBpke6ISvoyX59X1MM8AZOwys4ds3FwKQVtnFsKG10j0ivNdpbjpyck6wvVbPE0sjkBmqu26Fii35zWh0o4RFByspQS423DEvGJVGR9JLR8a979XxLjyRYs2m7AYWvpmOpW6Yby/xZ8ddc5gS4HzWa6TX61FrdSb16LHh6WDJFbG27LkulF/uSKatb4jF75/gyzIt29em8OlVE7cUEl84TMbpbu47J5Qnl4bjPMaPfFito2VQQ32/hrt+KGHAMIi1kkn44cZE3GzlLHw7i36lhium+XDbrAD6lRoq2xVM8bPno/R6POwtsJZLCHG15s4fSlgZ78mvpzooahnE0dGR6XHhPLsqgT09rjy8IIBvCnp4dAocquhitrB+cet3xZzuHOKJ88L4LLOBuu5hbpnlT059H3kGNJWLjZwHFoaQ39DHkFrPkdqhcZ/1tyLM3YZ54S5Mfzmdtw7XTviaKI9RcMmCCFcOVXYR7GrNtyeaOVHfh4+jJW9dFM2Rym7C3K0JcrHmx/wWVid6k1vfR03XMNm1vXyb23LW93F/nIa2jk42p5dz02Q7HCxEwtDeQsKaWUKCXbu5mI8zGsiu7R2nEZYU6MimaxMoMLDxx/7JeTCVVQlCpZlV08ulid7ct7UUnV7P9EBHjhkkWaK97MwS7ESkVGOVlRLsxHe5zdw+J5CCViUJnsLM62RTP5N87TlU0cW8cBf0er3J4Oyl86PYUdTG+QleaK0ccbC3B2tHzp+VwLelQgtuupv5OpAa5MD/Rmg0mrPOXP7JyuXTTz+ltraWkZER2tvb2b9/vymxAFhaWvLee+/R3d2NQqFg69atf2veAv+B5PJPxfCwcJMoFIrfhTMbuRBnwi1/D4Lbo9Qi0o4g1ihJSkpCZ+1EoPPo7kKvFyRQTOrEIxpmBDtT2zVEoIvwuryGXqb4O6LS6Lhyui8tfUr2l3UQ72PPoBrCnSW0NdQg8RJY/MviRr/gzzPr0er0Zg+ir6MVDy8JQyYRE/fMwXHv+bWLYrlqqjtr9g7yQVotjyfCx1dMYkpMuOnGVWt1fH+iiekvHh43a4l9+iBRT43OYeKfOcgbB6roVqhMIoHSoS7uCB9iy5UhBLg7MOf1dD5Nr+P4ujmsnRM07j3dtOkkV208wfwINz6+PJYQ19FrqNFBy6COlv4R7tt6ikHDd2Utl/DzLVOxt5Sx5L3jKEY03Do7gNVTBL5GS98IIa7WfJ7ViFKjZVmsICh6yad53LcgmHcO15pABBEetqyc5MXWihFeu3QK+7od2bg6nM8Kh3gsSZgJnf9RLpVVp3lgthdP7a5gSKXlyfPCeP9onQlBFulpy8pJHoL7aKOSgqbxqK6JQqvTc9HHuSYG+tmitG2Qp5cK98Ge0g4yTvfwhqFaeX91LJN97clv7OfSRG9+yGshxFVIMFtPttI7pOaL7MazDqS33TKVZZGOZHTKeeS8SAKcrXj+QAOtDTXMcBxkS04tN24q5JeSDhp6lGa/+97qWFMC+eSKeCb52E9IlLSUSXhyaTgnHpoJCFDnWSHOXPBRLnPDXEze9DKJiLFLu3EvM1Yy6LbvhLahyoACXBjpSlaTkmk+1lS0Kwhzs0EsErG3tIMFEa5kjWkZW8nEHK7sYm6YC5+kN2All3DRZC8ym0bJvsc7RpfCtfFS0tLSyM3Npba2lv7+/r8s0fN78VuVy/9luX34/0lyaW1tJSsrC5FIRGxs7O/CmTsGhZuqfWAEpVr7hxAh/f39VNU1odFBeKAP9vb29AypcbaRo9LokEpEJkmZS6cKIncFTX1M9XdEo9MjlwqXOq++jyDDYmopkxBgSDoWhj7zOb4iUlJS+Dq/i8l+DtgbeCJqrY7M091mMhSO1jJmhroQ7WXPRxPAjF+6IJrUEGeWfVaKq6We9+fJWTl/Bu7uwsJ7ulNB7NNCAnlsh8BODnK1NsE/zwyJWIRaq+ODo7Ukv3yU1T918tivtRSUVpKYmEhsWBCfXjWZ9AdmUdOlYPqLRwhytWH37eOHgsdre4l55jDBrtZ8eFkc8Wf0t2u7hmnpG+G+McRIa7mE7WumotHquOrLAjQ6PeuXhDIjyJGW/hE0Oj1utnL2lnZS1TnEs8uFhXnphhwePzeMx3dWmI61OMoNS5mYE3V9rJ0dwOaiHl5YGcEz2SN8foXQEnn8YDvNp0uZ5dDHPd/k0NvZxroFATyxq8LEpTkn0g0HCzERLjKTYvBvxc7iNhJeSKN8ArTdjSl+467947sqTLt/4XyuPLI4lK9zmlgW607HoIqCpn4un+bDj/kt9CnV7CvrpLBZ2ICcCTh495IY7pwbyKv7T3NupAOTPaS8ntaKp7sra+ZHUql24q2TGnJbRhg7krllmjNZdydS+MgsZoc6/+ZnPDMspGKO3SvcAzl1vQyOaAlysaLegNQU1IuF1w4oNdga5pUnx/BNBka0+DpasjGzAYkIeofUaHV63Gxl/Jjfyoo4DyrbFTjbyHCwknHzN0Iy+vraBNKqukn0c6Clb4QuhZr2gREWRrqalKlTg81JkmuWpzBjxgw8PT1NUlRpaWkUFxfT3NyMUmmebP9O/NbM5f+yIjL8B5LL3yn7dDodpaWlFBcXExsbi0wm+0M7DCNapX1gBIVKS5DLb3+JTU1NZGdnI7WyQySR4morJK+eIQGGbJTFN3JmjAtPj0KNrYWgE2aM050KE+xxxCA/AVDZKrRbzpsWjkovIb26mzWzR3f9B8o6UKi05Nb3mn7maCVj7ZwgFCMaXttvvgu+eoYfs8NcmfHSURJc4aEEmDMzBVtbWwaUGhKePci572Qil4pNia9vWEOwqw13zAvhvUvj+fyaKXx+zRQ+vjKBp5dHclWSH6625mivnFYt92foSX4rz2Qx4GprweF7Z/HZ1ZO5f0sxV23MJfPB2ayIH19mT34xHTtLKR9cFkdSoKPZv9V2D9Pcq+S+raOuhnaWUnasmUZlu4IHDYvDOxfH4GlvQV33MB52FvQrNTT0DLO7pIO3LxYSxc3fFLJmlj/PjBGhvH1OIIcqupBLxCT42tM1qGZhhCvXfl3CukUhVPdqOYU/q+YkEOdlw2cZ9TSU5pHkMMi6H/Lp7u5Gp9NxcbQNVT1qlsW68+SuinH+8CDcc3HPHeXhbeMhxsbP/UlGA3PDXFi3KMTs340Ipsm+9uwr6xQ4RaHOfHW8iRVxHnQpVByr7uZ4XR+bz9ICOy/GjTdXRfNldiNBLtbcPNOPz0900qbQc32yL3tLO7nrx1Nk1ZrrlW2/IZZdVwWS6qbm+PHjZGZmUl5eTkdHx58SinUwbJKUBtKsTi8oGAO09Y/galB0qGhXmHTMjPYBj58rWC58ftUkNqTV88ZFMWw52co8fzkDKj1tAyNEetryeVYD183wM4Pmx3rbsSmniSun+/BRej02FhKumOpjqpoAM18Zo9SLlZWVicw6c+ZMJk2ahI2NDS0tLWRmZpKVlUVlZSVdXV1/Wo19bGgnUHaG/1e5/KuhVCo5fvw43d3dJCcn4+np+YeVkasNCJT2gRGGVFqCXK0nTEo6nY6SkhLKysqYPHkyclsHtDo9ToY5Qe+QGicbGQ09w/g6WtJmSC4HyzuZYeCwnO5UmGQohlVaLKVifj4pDA5b+5WcrOvE3UpPrwpkYrC3lHK8TrjZZ4aM7hC3FbSYwTH9na24MMELC5mEKc8fNnvfYe42PLgojOSXjxLuoOfhWa5YWMiRSqXsOdXG1BcOm3alihEtl031YdfaGWy7NYnWPiUv761k7XeFXPtFHtd+kcdNm07y+I4yPs+sRyKGNy4IZ90UCale5huDpe9lEfHEfloN7afUEBcKHp2Hp70FyS8f5aokP15dFTvuOie9ko5Gp+edS2KY4mXF2EKysVdJa/8Ij+0chQN72Fuw9aZE9pV18kFaPZYyCd8aYKNlbYMkBTpS2DSAt4MFX+c08fSycJr6Rsit7yPSw8Y0uJWIRTy1LJw3DtWwNMad0rZBrkoSqs78hn7ivO14P62eki4tdyyOY9jCCUv/OJYmBuNiCR8dKCEtLY2e7m6ujpKxraCFmSHOvHVo1HNdp9dz8zeFzH87e9znBsGxMbu2F3sDuTazpofBEY0ZZNsIx/VztiLQ2YovshvpGFQxL9yFL7Ib0evhx/zWs0KLt9yUyIhGR0W7gieXhnOosotdxR2sjneitl/HLd8WjzPuynkwlaL1swnydMbf35/JkycTkziDRrEHXxYOcM/WMq76KJ2rPk7n+s+Pc/f3hfyY32JSqD7bZzVGv1JjUi8ubR0kxmC4l1nTw7QAYd5hnLk984sAFTaCPGaGOJHb0EeUs5hdFQNcNtWbhp5htHrhubjpa2Ge+dqFUewv6yQ5yImOQRV9wxp6h9TMCXM2ofPO3NBMJPUiFotxcHAgKCiIxMREZs6cSXBwMFqtlvLyco4ePUp+fj51dXUMDAz8qRba/19dKOH/aHLp7OwkPT0dGxsbZsyYYWKx/lF9sVOtA0Qb2PlanZ4AZ2tBn0g6+iUPDw+TnZ1NX18fKSkpuLq6MqTWo9HpcbIZTS6OVjIauofxc7Y2Scnk1veSaODBVHWMiloWNvUR5+PAkcouXGxkdHb3Ut45gr2NsHjM9pWi0+n4pbiNSb72JgWA+u4h6rqHae4d3ZFZySSsnuprZpRkjE+vmszVHwuIsY8uj8PfXxDifGlPJXduLiLQxRqVRsdVSX6k3T+LE3W9LH0vi5Ubsin5HeRSS98I9/xUwYt5WtJb9NyT7MI7q+MZ66s05/Vj3PZtAVqdHkuZhK1rknj+/Ggu/jiHpt5htt4yfdxxZ7+RybBKy/q57oQ7SU3H0+j0tPSPUNM1zEv7qk0Pbpi7DZ9cEcf7aXXsK+vA1VbOlpsS0ej0VHYomBfuwo/5rcT72JFe3cOSaDfePVJHgq8DJxv7TS0Xe0sp984P4plfK3l0SSjvHanll7XT2FPaYRJLvPmbItoHVDy6JIxPs5oRWTuy/oJEWnHGxjdSQCOqhpjn1MvuvNN0dHWzNaeG3cVtTHo+bUJ48WVTvXG3k/NZZgNrDbOj1GAneoc1vHtEmOsYF77TBqj27uJ2Jvna4+dkyacZDeQ19JFxuoedBr2zM6HF762O5eZUfz5Iq+POuUECkXNvNSvi3NGj5/7djZxoG31eLKRi8tbNpGj9bCxlo0KQn2TUc8kneSx+7wTPHGhie8UQBZ16intEnGzX0jagQqfoobiskqs/zSa/oh6Vanx70NFqlHbQO6zG00FIoCUtg0R6Cp5EhU39xPvYmyHR9MC1M3y5Z8sp5oe7cLSqmzmhLijVOko7RpgR6MgXWY1cm+RL56CKFsNzuCDCle/zWrh0qjcfp9djIRVzdZKvSVYfBN8YYxiNyX4vjIrGkZGRJCcnk5SUhJubG319feTl5ZGenk5JSQmtra0TXoex8f+Sy38kjIZY+fn5REREEBcXZ/bF/NHk0j4wgrudhQml5WprwZBqdPbS2dlJRkYGdnZ2JCUlmYzDTMnFWijhe4YEhFhj7zB+TlbUGtzuOgdVhHnYYmcppbpjtHI53TlEuAEBtMBbb1oo9SLha4hzk6HT6dhZ1GYiYQLsK+1ApdExOAapMy3AEUdrGXNfP2b22e6eF8TOYyfJa1Gy/7YpeHl6IhaL+bpMw2cZdcilYmq7hvjuxqkAzHo17awJxd/ZihA3G4JdrRGfpXv5RmYXd2wuZFaoCx9ekWD6+YGyDqKfOmCCXK+a7M3u25N540A17xw6zdH7Zo471pw3s1Dp4O5pNiT4jpIzh1RauhQqTtT38UX2qFptUqAT984P4t4tpdR0DRHubsMLKyPoVqgpaOonKdCRj9Mb8HWyJMJD+A6u+uIkDy4M5p3DNXQbeDbRXnZM8XPgp4JW1i0K5aW9p/nsynhu21zM9jXCdbr6y5NYSMU8sjiUp3dXotfDk0vD2ZDZitjCBk9PTy5bMpP5ke70KbU8sbeBhyZogQW5WLE8zp1vTzQT5GLNk+eFkVPXi4+jpVn18PL5kdhbSk2GXI29SlxsZKRX9xBrmE/tNniUnBnh7jZ8dHkcX2Q1EOttx6WJ3jy/pwoPezkpwU48vK18XPvsxEMzOfHQTGQSsckK4srPT7Lo3eO8daiW0rbBCdt9APX9Og41i8jolLEyyo4XD9RzNO0YOTk5VFdX09vbi06no2+MOnF99zBhbjbo9HoaeofxdrCgunOIEFdhMH/Jp4JQpRGCfGOKH1UdQzy7PIIf81tYHufOkQYVi8Md6FKo6VSoiPS05fpNgq34e5fEsKu4nQURrjT3KhlQahhWa0kOcuTeLRPPWiadxWrjt8LIovf19SU+XhDdjImJwdLSkoaGBo4dO8bx48epqqqiu7t73Pr0ezyX/6uh1+v//eTyR2cuKpWK3NxcmpubSUpKwtfXd9xr/mhycbWR06VQmZKJraXAX7GWi6murjYlr9jYWLMvfkgtzEiM8NneYTWO1jIae4bxcbQ0kbtAQMB4OVhS06kwzXS6FCq0w8Ji6+xgi7uLcHMbuxlRLjKGVAYdJL9RKOTJhl5TKw5AKhZx2TRf02xnbESKmng5e5DnV0Ti5yG01bYVd3KkWQAV2FlISbt/Fpd+coKvshvMfndRlBtPLYvkumR/gl2tqe8eprpDwenOIXR68LSGc6NdWDsniCn+5lDNI5Vd3PL1Sa6e4cddY3xPVm7I5tV9QlsjxM2G7IfmcKiik9Wf5PDjVeHj3v9lm+tAr+fNi2KIcB99uLoVajRaHdsK2zgyRsX52hm+JAU6svKDEwyptCyL9WBZrDvdBul/d1s5O4vaONUyaOIuzH87mwfPCeHZMfOXy6d6U9g0gEqjY06YM8XNA6yI92DFByd4bnkEzX0jbEirI9jVmoWRrnycXo+jtYw75wXxYZ6AJtKLJHxT0MOxhvFWvwDLg8TUdAnKyo8uCcHFRkZt9zCe9hY8aWCJ3zk3kNVTvHjw5zIuTPCkS6HiQgNxtG1ARadCZTK+mih+ujmRaE9bjlZ289SycA6Wd3KwopMbUvz4Ia+FF/dWmwAtAO8utKNo/WwspGKUai3fnmgm+dV07v7xlBn67doZvmTdnzIObly0fjaZ96cA0NKvZme1mrkxflgFxOHn54dSqaSoqIi0tDS+zRndGGSc7mFagCP5Df1M9rVHJBKxvbCNJTFuJtAFwPd5QhJ86OcyQt2sOdkotCut5RJOtGqYF+LAl9mNXDXdl+oOBTUGdn9ysBPbi9q4aLInH6XXIxGLuC7Z1yRiCeazFuMm4u/GmaZgM2fOJCAgALVaTWlpKWlpaRQUFNDQ0IBCoTgrFPn/cuViJLL/68nlj0Rvr0BYlEgkJCcnY28/8Q7jjyYXdzsL2vpHsJYLZbqdhZT+ISX93Z00NjaeNXkpVDo0OkyVS++QGgcrGSqD5HfemGG7Uq0TXCK1eiwMcuA1zR2cOCUM3uV2ziYGvPFht7OUcKpVqH6MrTStTk99zzClraPVRYSHLSFuNtz+XaHZ+1sdAtk9QpW1KlF4/829Sp7fV4tU0Nrk2xumMuvVNLPfu2yaL/csCGFvaQdP7Cxj0/EGUkNceO/SeDZdHc/66RbcNtmKOVFeHKrs4b0jNeTV9xHgIGNFhPnu6susBt46eJovr51iQj59fKyOma8cRafT42gto2D9XFr6RrjymwpemzleoeHGX/uxt5Ty2qpo/JxGkX81XYKu29uHa01ilyKRiLcvjkEsgju+L0av1/Pk0nAcrKRUdQwR5GpN24AKOwspX2Y3muT2j1X3MMnHnh/yW0zHeXRJKG8cquHcaDdOtQ5yxVSheixqHiDc3YYPj9WT19DHyngPGnoEA65JPvaEOsm49udWEl86ZmrJjI0rp/sQ6mrNjhody8KsWBEoYmt2Fb7SQT7PamR7kdDW+vLqSeTW9xHhYcsFkzy49btiLkzwRCQav8s+M86NduOl8yN5cW81F0/xIsrTlqd2V3JerDtandDaG0tU/PjyOHZfHYSTlQS1Vsc3OU2kvJbB83uqTNyviyd7mdpk9y0IxsZiYjUNWwspBY/MAqCweQCJWERFhxJPT09iYmKYOXMmkydPZsjAEva30XPydAua7kZ+zqvnnAgXBkc0VLQriPe2Y+33wiA/OcgRgH13JJF+uocPL4vjq+ONXJ0k2Aske4npGtZS1z1Mor8D53+UC8C3103mp5OtLI11p6JdgWJEi04PMV52fJ0jzNvmho3OM/2cLH8X1PNXQy6X4+HhQVRUFCkpKUydOhUnJye6urrIycmhu7ubjo4O2traUKtHqRH/lysXnU64f/7TyUWv11NbW0tOTg6BgYEkJCQgk8nO+vo/mlw87C1oHxgxVS569QjH8wqwlEJKSspZk5dCpUOv15uGr1qdXkgQhspjSKU1SVcoRjR42luCCJMNcXP3IA6eQh+/Z0htajMoVKOeDoWtQ9hbSk3zlsr2QfqHBadHY0zydUAkEpFWZW7wdfWcSDbm97Hx6lEC47w3jmEpE6PRw861M1j09ih731ou4dkVUXyb08gbB6p579J4Sp9YQPHjC3j0vAgmuUloriwk0MOR6xZP46nl0RQ8Op/ypxay/+5UHK3EbC8XwBFXJZmbaF39eR7nJ3hzvsFBs2NQ0DobGB6hpKiADfNkqHXw2HE9v9ySMO5aJ7yQhrV2kKeXhpkRLSvbFej0eh7fWWHG4t+2ZhrH6/r4Ia8FC6nYNOCv7hjinEhXtha0MjXAkbTqbmaHOvPmoRrmhruQVtVDjaGd6WAl45aZ/rx2oIb1i0N5/WAN++6Yzne5zTy/QvDSuObLAgZGtDy8OJT3j9by66kOviwapG/k7IPsTcebkEvFPLs8nE6NBXERIXSo5HxUICTIGyK0LA0U8+GhMi6PdyCtqotAF2uWxrpz49dFeNpbjBu4jw1/J0t+OdVBfkM/Ty0NZ2NmI+2DI1w6RWiHfZc7yjyf6u9A0frZzAhyQqfTkdemZsqLx3hhb7XpHnvzomiK1s/msXNDqe4Y4pOMem78upDlG3K4fGM+67eXcaiiy2xwLRaJTBVWS7/SxEcBIXFLLUcXykuTg5kS4EyfUkN1ay9Npbm8syuXOb5SuvoGTA6bxlnVc79W4u1gQV5DP6nBzmh1eo5WdZHkAZ8c7+CueUGkGSRwQABA7C3rZFmsO28frkWt07N2dgCXfpYPGHkvo6/fclPiWa/tPxkikQhbW1v8/f1JSEhg1qxZWFlZIZVKqaurIy0tjY8++oh7772X+vp6LCwsfv+gfyBeeOEFpk2bhp2dHe7u7px//vmUl5u3bOfOnYtIJDL7s2bNmr913n89uZytLabRaCgoKKCmpoapU6cSGBj4uy20sykjnxke9sJu2JhcTpWWYuvgQmig/28mr2G1Drlk1EZ1ojDugNr6R/C0t0Cj0ZCZmYler8fO0YkR/eigtHNQhbudBSqNjjgfe8RiMTmNCjNDseO1PejH0Dut5RLmhLuOQ+UsCHemtE9IekYSp9FqWanWcWOk1kwWxs/Jiium+/Lo9lIePy+CsicXsCDSjcKmfp7aWUbyi4eY+U4+D2bCTTvamPbiUSKfPMDc19N48dcK2vqVPDXPnR8u8uSu+cF8ld2ARCwyI31+m9PIzwUtPGUQ4QSY+mIaCpWWWakp5D48myGVlpu/L+PXteOH/FdsKmWwpoAVwRLcrEdbB1UdQwwoNby0d7TFEeBsxePnhvHMr1XUdwszsKeWhtGpUFHcPMBUfwfeP1qHvaWUxVHC9V22IYf1S0J4YU+VSaJ/WoAjVnIxhU393JDixyfpDTy9NJyLPsnjxxunAPDETsH35Xhdn4krcWbcPifA7O86vZ6Tjf3MDHHmmV+r6FCoSQl24pMr4ihSOjM9zJsIFzkfpNUxxaqTExUNSDVC8nnvaJ0JMXZmXJ/sh7ejJY5WUr7LbeaeLae4OsmHmq5h7t5yykwE8ti9yWy8ahIgmLfdvrOZ146P8m2+u34yRetnE+hsxZ0/lBD/fBoXf5rHW4dqya7tpbZ7mKLmAbYXtfPekVqzFhNAnI8wCzLe12Pj9YOjTphFzYNcMzOE/H5b1iyIJmFKIiU9IiLtRrjqcyEBuFsLS9Mvt07hcGU3X12TYFAf8OKDtHpumRlAebcOZxsZQS5WJsn8PbdP5/2jdVyf7MtPBa1YycSEudlgKZOY5P3HcsWum+H7j1sY/9GQSCSIxWK8vb2ZPn06qamp+Pr60tjYSHFxMQ8//DArV67kvffeo6rqtwm3vxVHjhxh7dq1ZGVlsW/fPtRqNYsWLTLJ+hvjpptuoqWlxfTn5Zdf/luf719PLhPFwMAAGRkZqNVqUlNTTRLbvxd/tHIxzi96OgT+gIOnP45uHr9PpjS0loxl30QROHa+MtRHT08PXl5eJCYmIhaLTVwYod01ZCKMTfV3RCwWU9E5wiTf0XnGqZYBXGxGH1SlWktSoBMbj5k/2GvmhnD/lmIeWhRmYs4//PMpxCKI8rShbmA0IzpZy0gJdubjY3XsvyuFK5L8yG/oY+WGbFZ/ksM3OY10DwvXMcbLjkR/RxP3oKVvhI2Z9VzxWS7nf9vAz2WDXJ3kT/Hj85kf4crOolaWn8FneWJnGa+vHOVu3PRrPyM6wbAp6/5kGnqUvH7wtGnxNkbLELRaB3PxZE8inMVYS0eT7JBKzamWAfaVjc4fLprsySQfe6764iQanZ4LJnky2deelv4RU3pu7lWyvaiNDy8T+AwfpzdwgUHx1xh3zAnky+NNRHnYIhGL8HSwwNZCwot7q1kS7cb+8k6WvHf8rPdAtKct7x6p45IpXiaVrLI2BT/mt5pcIb++NgFfR0v2lXVy17wg9p1W4OPlwY3zojjS40CYux3bygawlwnvfKzviTEkIkzWy1MN6MTS1kHu/vGUyc8FhLZc0frZOFjJGFJpeXp3Jas/y6e2V2jDvHZhFIWPzKJjQEXcc0c5/6NcDlWMVsU3p/qz+7Zp7Ll9uilplrcryKvvN3M+zTBUVwqV1ky6BjABCGaHOiMWi3CwknG8rpdZoc7sLOvnkmkBhEXF0qgQrlj7kPCMXfRxLpPcJGzJrGBOkC3NfUq6FCoSfO35pU7HDUmefJYpzHLifewYUGroUqiI8LBld0kH/UoNt80OYNkGwUo8yMWK7qHR9tO9C4L5N2PsQN/CwoLzzjuP77//nqioKJ5++mlSU1PZunUrjzzyyF8+x6+//sq1115LTEwMkyZN4vPPP6e+vp7c3Fyz11lbW+Pp6Wn6c7YOzu+FySX0L7/j/6Ewmod5eXkxderUs4pOThR/NLlI9MLAUKcSdnU9ailyiRiV5rfx6XrDUvFbycXPIAcz0N9HaVk59vb2hIUJCz76UQInBpaxsTXm42iJWCxGpwfnMYKOPUNqsxZDpKcdg33dvH6ozuy8QS7C4n/RFGFOcKBcWHR1enjivHD2NY1+1VdM92VzbhNp98/C29GKNw9Uc9mnJyhvG8THVkyk0+hrS1oGyK3vHeffYkTAfV08SOILh9mU3cCbF8ex47YZ7ChsxdFKhr/zqJXxvduqeX6xj+nvic8fRq3TYyWTkHZPMntLO8mu7eWhOeaJ6bl9tUgd3HntsukEuo6y+Bt6VfQNDPL2/nIKK2oZHhbmMe9cEkP3kJr3j9QiEol4fVU0IFgsLIl242BFF8lBwrB3VYIn3+e1EONlR2WHwmQAZimTcM/8IF7aV81d84L4JL2ebbdM5UR9n8lU68yIc7fgfINr4anWQZ5bHkFr/wh3zA00e91tswN4fVUUbx+uZXGUG+62Fnye1cjd84IoMECktXoRn+X1EO9jR7/avEye5anjwWlC5a3VCy6TN39TxKIoV1YbkFVjF8+j9yTz0DlCYj9e20vSK+mmOdMsfyu+O98FV1s58c+nmUiLIDgwhhhQgp9m1LN2czGv7DvNudHuZD+QCgiKxUXNo7PAfWUCxFenx4TOA4H3ZQxXGzlXT/fhi6xGLkv0pl+p4WhVF8vi3El+VaisjXydjVfFo9CIuH+uL8dqB/BTN/LEj7ks9lbx2ZFyElx0SMQS3jTwijZeOYk3DtZw34Jg3jpUg41cIEyO3YDUjKnkvr/BfDPzb8REaDG9Xs/Q0BBxcXE8+OCDHDhwgM2bN/9j5+zrE9qOzs7mSgtff/01rq6uxMbG8vDDDzM09Of08s6Mfz25GLOcVquluLiYsrIyEhISRhfkPxF/JLl0dXVRViSU3pNihHZNXfcwbnZyOgcnRvmMfa9iEShVhod3grcnMeyR1cphYuMnmfqmaq0gETOWPazW6k0MfU8HSxNTdywybHBEQ8UYFJqTTMvJkyfNzmlnKeVIpfAAG+Vi1n4rDPvD3W1YP8Z4au2cIN49XMOWW6bjaiPnwa3FbDgqPJwRjiKaBnWU9fy+mKeRiGpUK3lxTyUzXj6KHih6bD569NR3DzPFa7TqemRPk9k8KOG5I+j1wpB/y02JvLL/NAGOclK9zQfHi989jpVMzFNLw/F2GD1e85AIkVjC60ebyczMIisri86mWp5Z7M/HGQ1UdyhwtZXzygWRtPaPUNw8QHKQI28eqsHJSsZ0A49k6YYcHlwYwqv7T5uImjFedrjbWZBT18uAUsuCs5AgfRwsmO4tp6h9hP3lndxv2AnvKmnnwgRBndkY50a78f7ROiraFNw+J5CPM+rxc7LkvBh3Xtl/mkR/BzZmNZoWbKMisDFCXK3RWTlR3CdjwyIh0W452cqqSGse/LmMzXnm8OL9dyThZC1DMaLhsR3l3PD1KAAk+4FUrklw4KrtXVzzZYHp58b51rbCNqoNKEGtXliUB1Uanv6lEkvDl67R6U0zxrE6YEb0lzHu+lFwO4z1skOt0+FqK6eoeYD5ES6CN02qv9nmRaXVc32yH9d9VcgT54Xxfdkwj66IR+wdTXSAG24ONuwv7yTJTcfVhvf+2EJftp5sYW6YC3Xdw7T2j2AhFTMn3IVHd1SYrp8xQt2sifL899FYf5Tn8k8JWOp0Ou6++25SU1OJjR0lNF9++eVs2rSJQ4cO8fDDD/PVV19x5ZVX/q1z/evJBWBoaIisrCwGBgZISUn5y+Zhv5Vc9Ho91dXV5OXlERspyEnYWgpVUV33EK62FmYQzYnCRi5BLIK+IcPrJih0Sk4L7ZUAPx8kcktT/tHq9EjEIhMXxvi7WsNQ1M3WwlQZGdFoIMxuzN6Dfpjp083nEzfPDOSz9DrT8FwzptK5a34I1WNaKp9m1LE42p1Yb3te3V/FzqI2006xvPfPi/MZRaXdbOUMKDWseD+L7YUtpN+XygxvGXktIywIH90hXfdlPm+vHvVGv+ILYXEId7dh/eJQbttWz+WR4+deV31RQKSnLRcmeJp80gH0YikqiRX9zhGEhISg1WpxG2ki2F7PDV/l0dDYyJwgO+K97WjsHSWcDqm0bD3ZygeXCg/Yj/ktnBPpytc5TabX2FlIuP37EjPb2zOjqW+E480qREC8jz1Hq7q4ZaY/Gad7uNuwqL55UTRRnrb8cqoDT3sLarqG+S63mUeXhHG0qptTLQM4Wct4YlclK+I9xvFJ/J0s2XXrNKRiEek1fVw0PYgvKiW8e7FQlW0pM99hfrLSm+n+dix8J5s9pR2c8042PxvaZLfNDqDgkVlsOt7EjdtbOVMUfGzV4+toyUWTPU3M+qyaXtRanUm4EwSnSMAkqOluJ2d14ihH68sxvCQPezlrZwfy3pE6bp8TSHXnEB2DKqb6O3DRJ3kTXl9vBwucrGX4OlryRXYTdy8MZ0uVjnVL4yjtFdFi+Og2iia2ZFcRKm7nzf0VKFUa7lsQzAUfCpL6EhFmz8F/oWqB/335l7Vr11JcXMx3331n9vObb76ZxYsXExcXxxVXXMGXX37JTz/9RHV19VmOdPb4z7TFjDBjZ2dnM8LiX4mzJRe1Wk1+fj6NjY1Mnz6dsECBsW4jlyCTiKjvHsLZWmYyrzpbONvI0SNmQDneLbCpSViUFAgtC0uZFIVKa4IbW0jFjEwgjeFgQJ6JRDCgEhYVR8PucVCpMakCGyM5LhQrG3ORx1hvO0paBlhpQOuM5YH0jFksrk/2RanW8eqqWDJPd/NputBam8g3fX6EKwfvSWX37cl8dGUC710Wzzc3TOXXO5K5eWbguNePTczrt5Vyx+dprJ1izTUzfDlQ0c38iFGV6js3F3H/OYLdaknLIN8YFvRLp3oT6mLB+nQlu2+bZnb8gqZ+SpoHuCHFHx/HUXhybdcwWp2e7/PbkNs6EhkZSUpKCm9eHEfXsJ7vTwht1ssChQWxvmuIFXHubC1oZU6YMxk1PaQEO/HBsXpBabemlw+P1RH33NGzSuEDuNuObgDunm7HdF8rMk4L8OYPDY6aADvWTOXngjaWxboT6GxFa/8Ie0o7WBrjztO7K5gX7sLHGQ38eqoDRyup2awEBHjyHXODeGFvFe+ujuHWWf5cv6mQu+cG8Wtp5zjJl8leVuhHFFzlJ8CO799aapLJz7gvhQsmeTDp+TTeOSJ8Njv52XfEjb1KfsxvpbxtkDgDcbO6c4gmQ5K2kokJ97BBr9ebyK3zw11N0jUqjY5XDDOmOaHOBLta09g7jIVMTJi7Da/uP839C4J5aFuZ2Xm/vjaBzzIb2HbLVD7NaGDt7EBeP3ia22YHcry2F3srKeFuVnxUJuz4j92bzLEBN9adG0VamwSdRoWvpJ9f03OpNXQKxt7iT5wXZnou/83Q6QT06URtsf+J5HL77bezc+dODh06NCHVYmwkJSUB/CUgwX8mudjZ2REfH09UVNTftvScKLkMDAyQmZmJTqcjOTkZBwcHk0aXpUyMq62cvmENUol4Qt+SsSGYekGvoXKxkIkZVqkZHBigrEx4QDqGhWPIJCKGVFqTKOS4stbwV+MZ1Vq9ianvaGhtdQyOoD1jvuPrbEPhGdLu/oY5T6RBn8mokOzvbMWj20fRTD8XtLE83hOpWMRDW4sn/Iw+jpYcvncmQa42PL69lO9zm2jsHqZ7UM2J2h7ePVzDqdYB7lsYyqvnTXyDioBDjTq+rJazbnEEl0714WB5J5PHEEM/Sa9jWoAjAC/sFWx/Ad5eGUjviJ4T9X08uiTU7LiXbsxHIoJ1i0LMEsyp1kH0eky9d5FIRJCnMw+dE8LnJSPETEliekwwl0RZ09SvIu90GwH2Er7JbqC9X8mNKcLOfObrmaRVd/PuEfN5ljFcbUYTSvugijvmBALw5vEBLowSrv3HBmCAcWf80M9l3LsgCLVWj7udHH8nSzztLbhtczFJgU7ct7WUKw0s/N5h841E1v0p7C7p4FTrAK+vimZjZiMqrZ4nzwvj0o357CxuH7cxWD09gA0leja3mPfTb43S8v2hXM55xxyIYNzQjA0/J0uuS/blDcO8Kv10j6lV52Yr5/pNQnvt7nlBiEUi7tsq3GMOVlJumelvOk7iS6PqEUqNjqum+/LRsXrunhfEpuONLI52QyzCjBTqYSfnis9PcvlUb7YXtXHldF9ONvZhIRUT6mbNV8ebuH1OIDd8I9y/183woaRlECdrGa6Odpzs0GJlY8cjF6fw5klhLQhzMH/2Fofa/o9J6P+ZMK5VZyYXpVKJTqfDzu6fccLU6/Xcfvvt/PTTTxw8eJCgoPE2GGeGsfXu5eX1l8/7rycXqVRqkoD/u3FmcmlubjaBAyZypBSJRMj/xA7GyVqGDpFJUM9aKuJo1gnUarXJa9qIBpNJxOgMZltjwySpbri3jdwCjU5nUk8Wi4QbormpCbV6dMERi0AuFVPTaT5cNyYjo42y0Wp51eTR9kSYvZ7uITWPnhvBzoJG2gZUeFibf/bl8Z48sTSSR34+xfRAJ+p7hvk8s56nd5fz2I5SXj9Qzc6iVo5VdSGXiPihqIfzwy15/vxos+PoESDT+0o7WPdzCU8ui2SynwP5DX2mfn3vkJrzYka/93Pfy0Gv12MpFfPQVDmP76xgSbTbOATfE7sqiPCwZV6Yi1mCEYmgok1B0ZjEe+lUbyylYt462oC7uzsPrZiCTCJCiZwAJwsa+9XIFB2mxfJsYSTzqQ2J/rpkIakad/8AD+0TiJBWMjHXzfDlncO1XDLFC61Oz0t7q3G1lbFuUSj1PUqTssI7R2q5IcWPTcdHW3EAK+I92H9HEvdtLSU12Imrp/ty35ZSpgY4MNXfga1jfN5B8HoveGQWc8OcWbetjLyGfo4ZkFuPLQnl+RURbCiV8GaecG96/g5fsEuhZmNmI/0TVOjRY+YUF0/xomdIbRrk3zkn0KRuPJZ3MjfMmbWzA3j/aB03z/SnbWCEk439rIz3GCfoea7hnlgY6UrXoIppAQ58mtHAnXODeHlfNXfNDaSwqZ+SFqFVed0MXz7NqGfNrACe31OFSCTizrmBXPnF6Hda2TeaSDYssjfpf506deoP6X/9T8XZkosRIvxPkSjXrl3Lpk2b+Oabb7Czs6O1tZXW1laTB1Z1dTXPPPOMyb9m+/btXH311cyePZv4+Pi/fN5/Pbn8k2FMLjqdjlOnTlFaWvqb4ACdQabAFCJ+s3pxtpGj00P/sJqenh4GutvRSSxwcnLGwtIKmURkShZSiQiJSMTIGU3tYFfzG8bYX9cYmPwAA0oVRUVFNDc1IpGODret5RKkYrGJdGmMnuHxiwBgBml2NXQbtcP9fHBQGPC3DY2+N5lExJIYd7YXthLmbsMtX5+kfgz44Mx4YU8l2Q0KbKWw7WQzz85zMfv3IYMd9LaCVj5Kq+Wb6wV5jSjP0d3YU7sr+GB11Ji/VyISiQh3EhPnbceVX5zku+vNHS1/KmhjwAAvHet9YtxZb0irN+1KpWIRb10czfbCNk53DiGXinnp/Eg6FWoaDfl5R/3ZH4E4L1ueXhpOS9/ojOH5FRFszGzk3Ojxc8E9t09nzawANmY1csssf4JcrClvVzAjyJHBES3vHqnl/dWxZhXKWAg0CFyTVQmerN9RzrpFIXjYW/DQz6XcuyCI9gEV7x+tM3m1AJwb40aUly1ikYgHFppL9Xs7WBDjZTcuGbWeBQT0/AI3jt0+iYz7hI3SROhJo5rAe5fEIJOImf2G4FE/1d+BiwxotQGlxsQ7mexrT4ibDT1DaqRiEZN87Hl+TxXrFoVymYHUaIyPL4/j86xGfrxxChvS6li3KIQ3DtawZlYAGad78LCzINzD1rQZeDpRwwt7T3PP/GC+ym5EIhIxI9ARhUprNl8xxl3zApk5LcGk/2VhYUF9fT3Hjgk6aKdPnzbpoP1vhHHecubaNDg4iFgs/lsjgrGxYcMG+vr6mDt3Ll5eXqY/RgSaXC5n//79LFq0iMjISO677z5WrVrFjh07/tZ5//Xk8k+hIACT5H52dja9vb0kJyf/JjjAOGQ3hpOVzGT4NVE4WcvQ6EU0d3Rz4sQJvN2c8fIPxtvRktZ+pVniUGl0ZhBiENpFQWcmF8NrNDo9lgY5mmNZJxgaGmL6NHO9oxGNDrlERP8Z77H7LLOisT+vGxAR4iQjMyeP6gkME7feksS3OU0MKNV8YbBqnuRrz21zgnhoURi3zQnimhl+XJ8SwJIxFcemU0rqO/rZXNjD2xdFmR3TiCB6/UA1mTXd5KybQ35DH5dPG22nrdlcysWTBQjvlpOtdAyMoNPp2LA6htquYRQjWhPz2xgpr2VgZynl8qk++I+RhxlSaxkY0ZhxNFKCnYnysOWR7ULbcm6YkAQn4o2MjQQ3CUUtg7y4pwJnCx3vrwqlb1jDzuJ25oY588sYSPK8AGHGsPjd4zhZyXhzVTRXfn4SuUTEr2un89qBGnqH1Pg5CWS/BxZOzK3IeTCVstZBvj3RzFsXRVPbNcy7R2p55YIotuS3sre0wwz6W/jILKb5O/LKvtOcahng8s/NF+urk3y5dGM+J+r7zjyVWayMc2PPdaEE2Wo5kV/AjJeFdtZzeybuty+IcGF2mAsXfCQMyy0MSVts4FelvDZK1rWxkHB+vAff57Vw74IgXtl/mmuSfKnrHuLUGI7M0lh3bvqmiLvmBfJpRgP3zg8ms6YXS5mYEFdrvsttZs2sAC76ROBm3DXbl7I+MeHuNmh0eo7X9aJHz7UzfE1GYaFu5iXajSlCy26s/tdY8uLw8DBFRUUcO3aMoqIimpqa/lFjsDPj90Qr/6m1Ua/XT/jn2muvBcDPz48jR47Q1dWFUqmksrKSl19++S/zXIzxryeXfzIGBwcZGRnB1taWpKSk33VyG1JpTezcYZUWN7vfRow5WEjQaHW0dveTmJiIv6crgyNa/J2sqO8eNhEoQdi9DSg1IBr1BNcz6s0hNQxiRysXHWqlUCnIrGyZPn061pYWZoA0tVaPVCIaBzxQnDH0N0ZB4+ii0jwEk53UWHpHjHtdmLsNn6bXsTjK3QQGWBrrwfwIN07U9fDO4dO8f6SGL7Ia+CyjjpY+JasTfUj1Fz5Li0JHUZeOveU9vHFx3LjjA1z/ZT4anZ43L47lm5xGEscIX8b7OJr+/5JvqrGwsMBKCmtn+XHZxnzumRcw7nit/SOcP8nD1AoEgbmv18OmnCYzaOwzy8MpaRkk7rmjTHnx2LhjTRRG5NwdqR4sDJDz5v4qkj2goqXPJB1ihLaOlX5p6Vfy48kWFka4UtGh4MndFTx2bigfHKvni+xGnlkWbhpyj42TD8/i/aN1NPYqeen8SH4ubONAeScvG/TCKjsUJm0wiQiK1s9GJBIJralhNas/y6fPUBGdeGgmjy0JNXnI/174Olmzu1bD45kj3J0O3g6/7eT6ygVRfJbZQFWHkKDfWx1jYuSf885omyvR34GHF4Xy/J4qHj8vjH1lndhbSknwtefGr4vMjlnVrsDOQoKTlYwID1scrKT8mN/CnXODeGp3JQ8sDObnwlaT4kBqoD2F3WJWJ3rz5qEatDpYvySUVR+PEgON7w8EMMPZwsLCAi8vL5MOWkJCAra2trS2tv6jxmBnxv9Wcvm34j+RXP7uRdTr9Zw+fZrSUmGweKYU/9mivnvYxJDvUqhwtT0712V4eJja8mK0OrCyd8LZ2Rk7Syn9Sg3+LtbUdQ2ZWOwgeH3XdQ3heEY1FGwgHzpbyxGJMKHBqhpbqasTBsneAUGIxWKkEhFnzh0HR7TYWZrzQKRnmRud6fWyICHYBN0cG+sWhzOi0ZmsjueEuWAtl/Bpeh3Ha3vHWeUWNPazObeJyg4Fc31Gv7udRa3sLGrly2snhnne92MR50S6IpeIzBb/x3aW88Ky0eG9yDUIqVTKdTOECud4bQ9rZ5lrl53zTjYyiZgrpnnjO2b2otLo0OkxkR1z6nrPCnMdG5Ee5hWlSqNj3aIQXjrSRo/YkTcun0pmG3QOC4lkgbcOL7lwr+S1qvl0pdAS2pBWzxuronGxlbE5t4WbU/155pfRCuCxnRVm5/Gyt+CcSFfOfe84Qa7W3DlXgOp2KVQ8vDiUh7eX06/UmHxHwt1tOPnIbNPvV7YrTMx4gOMPpiKXiDgyZuZxtghzkrIk1JZvTzTzWWYj0Z62PLU0jNPdZ9+tv5gEn+/LN0GPH1sSajLYeudwLW0Gl9UpfvbcNiuAj9LruWq6LwNKDbuK27ltdoCJLGmM+xYEUd6u4LMrJ3G4sosrpnnzzC+VPH5eGJ9lNjA3XLgfjdfx+IOpvHq4gcvCRLx24DRSsYjViV4UNA5Q3zP+vb98fuS4Z+ZsIRKJsLe3n9AYrKysjLS0NE6ePEl9fT0KheJvAQN0Ot3/L+X2jfGfSC5/J9RqtenLTkhIAH6bQW+MueGu/FzQYtqldSlUQuUyMD65dHV1kZGRgberAzKZxCSN4mgto0ehIsDZmrruYcLchWGnj6MlIxodNV1DJgVmENpqRtFLeyspztZylIaZzPGqdkJDhQVWYYCO2lvKxgEOOgdHiPYyR5GcTRvpzMG/l4OVGUfBGO0DIyaPELEI7l0YSlnbIP1KDdMDHSl7cgHFj88n88HZlDw+nzeWCot++7CIw016M9HKA2UdvH+khk+vMp+VOFhKyTjdQ0Z1N4fuTuFko+D7bow9eVUmB8qrvixEJpNhbWXJk0vDue/nCq5JGo9Ma+pWsDDCBXe70eqltG2QEbWOddvKiHvu6O8O641R1jZ6rQKcrdDqIb26h0AXK2q6hlm6QWgBxXvbsTjKjRmxIRxr1vLMLOG63bCtBU8b4bua9nI60wIcmRnixPWbCnlu+fhqEQTbXl8nS47X9dLSP8L8cBee31ONo7WUG1P8uW/rKfT6UWn4qf4OZiKLjb3D3Lv1lAlu/vyKCNb9XMabh2o5akguRiTcRJHgISPc1YLbZgdwXoyboIq9q/Ksr997+3QcfEN5O1e4Vot8dARqG6mqquLnE7V8lC5AsCf52LMizoPchj6iPW2J8rTl5X3VPLs8Ylzl+PqqKF47UMM31ybwyv5qnjgvnNcO1HDFNB9qu4Zp6x9hWaw7570vyLdsujaBj4/VsyzKiXqFQEp2s5WTGuzEOgOk2W0MTDzA2coEEvgrMdYYLCUlhWnTpuHi4kJ3dzc5OTlkZGRQVlZGe3u7marxH4n/V7n8h8MIM9ZqtaSkpJg0yP5I6XrhZC+OVXWZ4Lu1XUO42crN2mJ6vZ6amhry8vKIiIhgUlwsjhZi2geFmyjC3ZbytkF8HS1p7BkyJZdJvg6cbOhjSKXFw87CZH8c5mZLn6GKGRzREuQyuuNuVFmZepyNBjl5iViEt6N5i6JjQEWEh3lyMcKdzwyxWjHuZ2fyZgBKmvs5XCEgfmaGuhDiZkNRUz9TAxzZcHkCM14+SuzTB0l++SgxTx/kwV8a2XpdLNP8hM/7VXaD2RwlwsOW7YUtZp4vRqOoe7eU4GAtY2aIMwfKRmVBDjfDW2NaakbUl1HOJr9ZwZpZ5u2xJRty0Wm1LI9xNeuvF/+Om6abrZxdt04b9/MUg6y9cbFWqDTUdg2bnAt3rJnKWxfHsKe0g+P1A3xx9SQeSxvA21a4/jdMcTQd69395Ryr7iHM1Yr1O8abhh24M4kAZyt6htTo9PDZlfHMfD2TaE9bLprsxQM/leJmK+ewoU0Z7m5jEp0Eoe364E9lpjbRvjumszzOg5RgJz7LFGZmX10ziU/OAAyMjWMNI3xd2Muzv1axObfFJLU/Uey7Yzq13cPcukWoHi6a7MkLl6cQEBBAXtMgj+0REkuQg4RQRxEStPQNq7kwwZNHd5SzfkkYG9LMId43p/pz75ZSHl0SyicZDdwzP5gT9b1YycREeNiyMauBdYtCuHyjMEtaleCJSqOjS6Emyt2KffV6tDo96xaFMOfNLEDYwI19hrfd8s/4tIBQ1djY2ODn52dSNY6MjEQikVBTU8OxY8fIzc2lpqaG/v7+361q/rcJlP/b8Z9ILn8lQ08EMzbuAv5IcpkWICwkUYYqIK2qCzdbCzoNN6ZRlbmuro5p06aNko4MJjgareDX0tqvxEImQa3Vm7S0ZBIRJS0DiAA3OwuT/XGouw0dhrZBR5+CkcHRyXpd9zBisZhIJ3MpfY8z1GU7B1VmbSDABGEGzG7oIE9zrsOIRjuuzQZC5ZJT1yu8RzdbPjDIwWy6LpHE5w/j72TF8QdT+WqpPe/Pt+T8SZ5cuLGYReFOzPMTrvm2whYunCy0hr7IasDRSsZNqYFm5wl0sWJgRMuBsk7euCiGtoERFowWLyZtLxGw+lOhdy4WibhjbhC3fFPI9Sn+nBnNAxq2F3ea9dd/L2aFOPPYznIsx1y3uWHOZJzuwdVGzqrJAoBgrP/J4btnUNM1zLptZXx4WSydgyoThPj+GcKm4Lm0bp48T1B/qO3X8fp8Oyo7xyPuXrtQAD489HMpr10YzdNLw7l+UyGBzlaMaHSs+7mMMHcbfioYJVSOrVj0ej3P/lppsgp47cIoPO0t0ej0Zuizq74YlXUx6oulBjvx4DkCoKBFoaNraPRZCXCeGJ2Ufl8KB8q7TIPy1YlePH5uGHK5nFaNFc8cE66Tj4OcUFdL/CyUbM2uYpZdJ/d+l8uFMQ7Udin49sSo9L+1XMJH6fXMCXWmqU/JwkhX5FIx2wvbuXV2AE/uquDRJWFsL2ozVZVrZvnz4bF67pkfxMuHGhGL4Y65gdw5RhNtLGn4hxummAF2/umQSCS4uLgQFhZGUlISycnJeHl5MTg4yMmTJzl27BglJSW0tLQwMjK+Y6DVapFKx7frBgcH/19b7N8II8z41KlTTJo0yQxmbIT1/ZHkYhwEG9tiOwpbcbOzoKVPiUKhICsrC5VKRXJyMo6Ojqbf87QV/N1ruoYQiURIxCITl0VquJGNOkkeBqaycfYR5m5LtaFVdbq1G63UPEmIRCJinTHphAF4OViaWmkgSNVYnNEGM/ImFMoR8vNHEUMhHo5mr2vqHcHJZry0inrM/MPDTs67h4Xkkl0rtGM+uyyKgtwcZDIZc1Jn8Oz5sWy7NYnnDjQwxU24hRQjWroGVSa9piOVXXx9vMEkHQKYdtmv7q+iqqwEbxvoYnSH9tqB0zy5NMIEYjBWedcZjtE7pGbBGKY/wPIPTpDfOAH8bUzEetly9O4knl0mLPxbC1oRi0Q8szycQBdhQTUO6W0tJGzMHJUsOS/GjfcuiWHum1nkNfTx3upYLKQS8hv7mexnzw83TOHe/b1cHidUaUZHSYB7D46voF6aruXVPWXcvCmf++b4EOhsSV6DALxYvySU5/ZU4WQtM0sSRetnmx3jh/wWGnuVDI5oEYsEB1GAbQWtJrOyMwfYXQoVrjZCZe5hZ8G+O6Zzz1RrrpvibGLU150BPZ8f7kLeupm8uLfKBA64Y04g6xeHIhKJyKrp4crPTwKCVEycjwOXJAVTMGjL+9cks6PZmskeMjqb67nrR3NrAlcbGRKRwGvR6SA5yImX9lbx7PJw3jpUw6rJnijVWtOcJf2+FB7fWcET54Xx1uEadHo9U9yltA2MmDYBY9UKLpniReT/snaYpaUl3t7exMXFMXPmTOLi4rCysqKxsZH09HST3XFPTw86ne43K5f/PySXPzbl+o+EUqnk5MmTpjbYRGiwP+rpYozqDgXxPvYUNvVjLZfQOzhMRkYmvr4+REREjPvyI9wsSasboqRlgDB3wRHydOeQUKEMqBCJBJl8gABnayRiEeUGbSp3WxlVTULiON0vYrqzFaA08WP6R3R4WulRqkcXe39nKzOtqaKm8QvpScPi9PPBbMLdRnefRvCAMfIaBwj1MV+cQZDBMcZYiZrtBa1EuVuRnZ2Nv7+/WSKP9LTjxaVBrNtVQ8Gj85j07CGOVHZx2TRfSlsHqe0aYnaoE3PDXUxtGoBAZytqu4ep6Rbz8VWJLP0glyXR7vx6SuBPGFn7AE/tquD1i2KwlElws5Wz6J2sce/992JJtCvnRLhw/9ZSXMYgy55aGkZdt9KU8CI9bChrU5jkQnwcLbGUitld0kFr/wg2cgnXzfDlx/wWCpr62XP7dO7+8RRpVd1420pwHuM388yy8HGDe4BDd81ArVLSceIk4ZZa2quL2XxMgtzKml3XRbB0YxGrEjzZMoaXkrduptkx6roFm2SjqGXuOsEBUq/Xs8kgozPV34GSlgFSg51M85qM0z10KgSbZCOjXoiJK773VseSHORoNiN59cIokxfO3tIO03E87S2I9rLlkilefJbZwGsXRvP+0TomB7oyK9SZxe+aqwJMc9OR06Hk2XnO7Cxo4uULY3jg53IeWRzK3tJO7CykTPN3ZJaBQ7Pz1mm8sq+aa5J8yarppb57GEdLCck+cM82oeUY7m5DxRjxy8fODZvwc/1vhVgsxtHREUdHR4KDg1GpVHR3d9Pd3U1JSQlarRa5XI5MJmNoaMhsLft/bbF/MP5IW8w4VLexsWHGjBlnhRn/Udl9gKkBjmw92YyXoXopLK1ArurH2S/0rHI0ka4WaLQ6Sg0JJNrLjtKWfvydrajvHuKGlNG5wLBaS3PvMCqtjmGlkhMnTqDRqLl8qtA+sjEg1YwD+freEVwshMXdOBsJc7c1Q1a19itNCgHG2JRVh4UYapWWJCYmMt2A3kkf015zshCxp6LXDNFmDE97SxOUtGkMwkw1rKB3cIjo6GjCw8PHfU9zQoXzfJvTiJdBrXhAqSbQ0F6xt5SxrbDNDNpqJGZWapwJchfaSUEuowlx1Uc5zAxxxsFKyq+n2pn12jGinz70u6KiE4VMIuLXU53sKevCxlKGvZWUvbcJ7aWlG06QXdPNsbsFDaWxA/3rkn3xc7JkhoGZH+hszWsXRjHnzSxGNDpeWhnJ4IiW0tZBZoe6cEG4Je9md/P00nBgPCIMBOvdF/dW89SeOr67fgoJQR4cHfJGa+nIRVG2/JJbha+N3iyx7FwzdZwG1luHakyV7LpFIaZquaRlkHZDy/WVC6LoHVabWR48fm4Y3103mSl+o9wFF0sRswLNF7HzYtzIfiAVF2uZWWLZdG2CKbG8fajGlFiCXa2Z7GfPqgRPNmYKNtJfZDXiaC2Ysp2ZWO6dH0ROh5h3VwayuWSAVb4K7vwqk5luIxRUN5Jf38PNM/1NieXl8yM5Vt1NkKs1NhZSfi5oRSQScXuyG/ccEhKjm63cLLHkPJg67vr/2yGXy/H09CQ6OprU1FSmTJmCXC5nZGSE7OxsMjMzOX78OJs3b6a7u/sfq1z+iAulUqlk7dq1uLi4YGtry6pVq2hrazvLEf94/CeSy2/F2KF6WFgYsbGxvwkz/jPJ5aIp3vxa0k6ogb5+qKSJxYmhNIyc3V7U19HQQjD0u6M8BdHIYFcbKtsVxPkID2+4uw3Ha3s43TmEn72ULfsysLS0JMzXg7mRAmkwxNUGa7mEfkOyOFTZg6NMSC6V7UK1M9nPwcSJAcEro7i538zxsbJzmIviXdhRKcxtrk0WZhNbT45KsNvJRXQoNER7jSdGjWh0puF7cXM/DxpEJeNsBmgZEuHt7T3ud0DYFFwVIebFPZV8d4MwOK3vHjJxWN49Uktrn5Knx6CljHXRdyeE97Yy3pM9paOERKVGx7HqbhNno0vxxxE4i6PdiBmDpDOqJewt7eTeBSE8vCSCnaWjEN1bZ/mz4iNzmPKiSBe2FbSRVdNLQeMALjYytha08uXxJqRiEasSPMmp6+P1A6fZdes0XtpXzXt5CiJdLSg7i3ry8QdTifK0ZU9pB5N87InwsGVprDs/5LfywJJI7D0DyBu0Z0nc6HWWivR8ujeP8vJyOjs70Wq1JvkcYwvv8qmjr8843WOSw3G1lRPiaoNOryfe4A556cZ8Lt2YT+egCgcrITl1KfWk1QrvOSXYiV/XTue5FZEkvZLOpYYh+hQ/ew7dNYNJPvZodHpWfZxr0k+L8bIl3tuO86Ld+S63hVcvjOKzjAZEIrgowcuUIIzx9NJwXj9Yw2dXxvPlyR7eviyRMnyZHxeAn5sjWwo7WeDQzjlvCkltUbgDTlYSipoHWB7rbjJae3JpGLdvH62Gx248vr42Act/yVnyj4ZIJMLOzg4bGxs8PT2ZNWsWYWFhNDU18cQTT/Dxxx+ze/duXnrpJQoKCv4W3PmPuFDec8897Nixgx9++IEjR47Q3NzMhRde+Lc/5386uWg0Gk6ePEldXR3Tp0/Hz8/vd6ucP5NcZgQZBt69QjuhcMie1HAv8gzD7bMdXyrSM6IRFE0DnK1p6B5maoAjx2t7TIixWB97smp6qGzpwVrRSp/Mhfj4eCI87UxDdalYRMQYx75vc1sQi4Q2w68lQpvIxkJKtKc5OqywsY9bZ5sjp66YGW4aZs4LH219GRec+gFhWdfp9WZkT4A9p9pN7bCS5gFkA8L10LsEArD5RCMThUgkItxR+H9XwyynrnsYzzGVSpCrNao+c4OtMHcbhtVaPjhay6+n2n+XLQ+C1tRvRcljc7llZiAlZyDFpGIRs0KdaelTcss3BQQ4W3PwbkHeZMZrWWYS85N87BCLBNn5c6NccbWVcU2SgDiYHuDIG6uiWbu5hG9PNPPGRdEmtvz5YZasirHnmxPNE/Ipvj3RzNuHa3l4UQi5DX30Dat561ANr1wQyTtHanl+TxVrZwfwSdboZmDDpXGMyO3JaxmhoqKCtLQ03t1XgkQjVJarEjzNnoW2gRFT0lCqtYS52zCg1HBejDtzw0aBHfU9SlPilojg9mR3jt6TzIeXxfHrqQ4mv5Bmeu2jS0L5/KpJuNrK6VKomPxCmqlCiPexIyXIiemBjuwqaeeVC6J490gtDlYyLk30Hp9YloXz+K4KPrwsjg+P1fP4eeGkVXUzpNKyONaLL4sUvHvldDKU3nQZiue5LoO8sruYZV5DPLilEI1Wy9o5Aewoaqepf/ym4445gcT7/D1W+f9mGKHIUqkUV1dXLrjgAsrKyliyZAlxcXFkZGSQmprK5MmTf/9gZ4nfc6Hs6+vj008/5fXXX2f+/PkkJiayceNGMjIyyMr6823osfGfTS5Gq2ONRkNKSgoODg6//0v8ueTCkNCPjvZ3w9laxrHqHrwdLWnuOzuJTCKR4G8vQaHS0NgzjFgsQg/YWUhRqDT4OQlVkNHjXqRSMHNyJA3DUkQiESnBzqRXC+2qU60DppaYVCxCpweVFm6ZGcDnmaOy7Yn+jmZw4z2n2ug8PYqQAShtFRa6uq4hxGMQMlcnmfMcNhyp4crp5pyR9oERrMfs9g42CNfvhb2n2XLLdB7fUcbRMSADY4hEIpMWm5Fb1HeGsq+Nuo/sSnMTKyPg4e3DNRPaEJwZi6Lc2F82/vxjY+UHOXyeVT/u51GetqRVdfNzQSvvXhrHkmg3Hv55dOYQ523HyfVzmBfuSkHTAL+WduFkJaVPqeF05xBf5wgIpzcP1dAzpKKgqZ/nV0ZwpLKLddvK+OSKONIaVTx3REigY1uW6Yah+hsHa2jpU3L5NB8umuzJzNczuWVmAEui3fk+twW5VMwVhsE4CIrKn2Q2cvv8MI62inAMiiMkJgFLudx07WbYdFJRUWFijdvIJSZ+h9Gg7NnlEXQNqlBp9SyPcxeY9VfGs+WmRPLWzeSTRdacH+PE51mNxD131KQqPcXPnu1rprI60RuRSMTRyi7mvjm60CT6O7AyzgOZVMyplkGeXxHBS3ur8XeyYkW8x7jE8tzyCB7fWcGGS2P5OqeJe+YFUdY2SG5DH2tnB/DojnIeOzeMI5VdbDnZZrp221rseGlVPDvrRQwOqwi1GODUqVO8f1SANI/dZga7WnPzzPFowv9ynI3nIpVKmTt3Ltu2baO7u3uc98rfiTNdKHNzc1Gr1SxcuND0msjISPz9/cnMzJzwGH80/hPJ5cxqpKWlubLl6AAA1u1JREFU5X/U6lin01FeXk5JibBA27p6mZBdOp0eBysZPUMT9/glEglB9iI0Wr1pl+znZEVDzzAxXvaUGRb5nUXCQ7JkSgitSokJ4hziZkN1hwInaxlHK7tMicC4460ZEJEa7AiMoqWSgpzMBDVLWgZRi81bd4/vKCXY1Zp3DwutAyNsd+OYJOVjL+OT9DqWx4+X0W7rVRDjJJwjs0llknFZ9eFxvrh2CjdtOsnCN9Op7zavMvLahWs9Vln2vTFqwR/mD/JF2W+IgVqPR68BZhXd3lLzymf32iQummz+Gao6FAwoNYS4WZuhhIqaBwhysSbexx6VRkfMM4dNbHeAz65OQG5QsAaY4ufA5dN9yajppUuhZlaIM3fNFarEHUVtPLggkGd2V/DAT2V8dXU8oW42dBlY+/fMN5cy//p4kwmabLzFbQz6cV4OFvQMqYnzseNopTmbPsrTlsfODePpXypZvySU1w/W8FNJD3OivWkcEg6UGBOGTqczscadtd2IDVXNV8eb+KmgFZlEzJ3zgnhvdSw3pvgzN8yZaQGOhLsLIJTr9gyx8JNyE+DCzVbO+6tj+eLqBIJcrBlSablhUwFrvx/dyCT42nNTih9FzQPYW0q5Y24gD/5UxvRAB2aHOZuELI3xwsoI1u8o5/VVUfyQ18KV033oGVazr7STRxaHsm5bObfMDKBtYMQ0q0q7J5n128u4c24gabWDdI5ICPF24eZzp/FWgXCtHeXmXn2bLo/4T8jo/5n4PRIlCLOayMjIf+R8E7lQtra2IpfLzRCxAB4eHrS2tk5wlD8e/4nkYgydTkdpaSklJSXjYMZ/NH4vuahUKnJzc2lvb2fGjBlEetqyo7AVT3uhlVPZoWCKvyAPP1GIxWIC7EVodHoTKizW247Cpn5SQ5w5eKqFy8JHpfMb+zUcq+7GxUaQlhGJRAS6WHOTwXDLuOM0trROdovwMDDO06uFRWeKv+O4dkuz2I33Lxsl1SlGtLxwfgzbC1vR6/Xcs0CYm7T2j5gWW2MrobZryORaaYwTjYP4ujmZ/r7upxKTY+Q1n+ex/64UIjxsOeetDCKe2E/EE/uZ/noO2+qEz5r4yl8roY1tqaAzWnXlZ8wvrpzuy8lH5gBQ1Nxv5ippjMfPi2DTtVPGKVsHuljx4t4qUl9NN/3s2+sFiZoDZZ28tLeKCA9brGRirOUSk3DnzTMDaOkfwUJmmFEMaYjxtmdHcQfvXBRJmKulaUfv7yAzSaLMD3fh55sTeT+tziRwubukg6yaHj7PauDHG6fw+oEaPkqv54GFwSjHVG8H7hQABgHOVtw9N4jnfq3i8XPD+Di9gb5hDcMGKR43NzcTa3zq1KnMCXfldIeCZf7CsR7fWUHcc0eJe+4oN2wq4L6tp5j2crrpZ2MlcbwdLHh2eTh7bp/OrFBhR3uoooukV9I5Xic8Bwm+9iQHOXLXvEC+yG5kUZQbiyJdufvHEq6c7oOfo9W44f3zKyJ4eFs5z6+IYGdRO6sTvbGQitmc28LTy8J5bGc5qxO9sJFLTFpj++6Yzsv7q7loshcNPUoOV3YhFYtYd04ISz8QWjlO1jJ6x+z9PlxsT25uLhkZGZSWltLe3o5GM7He3n8pfkv+5X/ThfJ/Kv4zyUWpVHL8+HG6u7tJTk7+yx4vv5Vc+vr6yMjIQCqVkpycjK2tLRdN9ubHvGYCDIvb8ZpuEv0dyT3L3EUikWAr1eNmKzcll1mhrhyu6MBdMkTaqQZWJAhtp4WRbnyWUUfPkJrJfg6cMBxzzpiZiEwiwsN+dEaR0SZGp9NxTpQbXxiqDgupmKle5tXbjsJWM3dHGAUB5Df0IZeKMXbHJvs5ml7jbmfB6k9yuHuBuTw7wJ6KXhPSbESj44VfK3jrEiHBLHwrg/1lHbx/aTy71yaZ2PKe9hYcuy+VBJ+JjY0cLSVMOsu/AZxcP4cAZysTIXCiWLcolEeWhCGXihEBD/1UyjmR49WuXW3lnGzsp6JdYSabM1Yl2cPOguMPzWKSrwOx3nas+7mUMHcb7p4fzAUJXhyr7mZwRMv5kzz5Pq8ZqUTMGwdPMzfMhdOdQ1zzVSG2FhIcbCyZ8bqwmL40A+r7hCTp62jB4IjGpNacXdvLvjuEhHHTN0VcOtWbCA9bXGxkbDreZAaPBkyoPYAYbzuuT/bjtQOnifK05cNj9ePMwUQiEba2tgQFBvL2FdPoljizItqR6d6jx81r6B9HMpVJREzzEPPmikB+XTudlfGeyCRiqjoULHw7y4yYmBzkSLyPHZdN9eGjY/U8fl4YztYy1m0rY92iUHqG1CYAgDGeWRbOI9vLeeWCSA6Ud7I60QsnaxkfHavnhZURPPdrJUui3QhwtuLiT4VE9+ONU9h0vJlEPwesZBK+yWlCLBLxwspIs1bbWKLkpmsTSJkqsOWjoqKQSqXU1NSQlpZGXl4etbW1DAwM/Cermt+qXP63XCg9PT1RqVT09vaavb6trQ1PT0/+TvwnkovR6tja2poZM2b8f+y9d3hU5fb+/ZmaZNJ77703Qq8CggJSFBXsvWPv7dh7F/uxHCtFQFBREUF6S++990zKpMxk6vvHzmwyBBQVz8Hv+7uvK5cymczes2fPs5611r3u+y/R8Kyy+8eiubmZQ4cOERISQlpamjgZOzVKkGBP8HfGTi5lbU4L0T5O4kJ9LKRSKSaTCTeVEju5lOZeLR6OCtrVfRSXlOLp7kZslDABbR1CTPJ3xsfFjm2lQpN+Qpg7h+uF331b2I5KKXwM1oZsdecg10wNI6+pjyGdntzcXFJdhxntaHu4vlfULLPioc2lXDEphMs+Eb6sm2+cCAhUYSusZmZFTT0sihxbkpJKBIo2QGvfMLeuLeSO2ZHcPhKMbvyqgLNXH+SdESmPNs0wU1/aS17z0UZ6nPfRYNmrM5HfbNtkH420p34dM7wH8OZI1iSXCooFdeohbltXhN8I5Xl/7VhhxpUfZrOvppuVWYE20jNWuKsU/HLbJJzs5OgMJopGGvLnpAjsPWtpbEKYGxFeKpp7dRyo7WFSuDvXTD1KoPjm+vFc+kkeALckmrl3VNK24ep0ZkV78PH+RhL8hPtYIbUQ4zOioDzSk3Kyl6OQSbjww1zRQhjGZmxZoW6cm+5PadsAb56fKD7eOzS2oe3lpOStC5OZFuuPu6sr0yLdyQp2JtpTSbyHlGQPC/NCZTw6w4OtVydwTaKM9EAnJBIJteohbl9fwtL3skXxybQgF8aFuHJBRgBmC+yt6eb15Ykcruvj/X0NvHxuAutyWrn96xKb83h8gTDns/qCJH4o6eT8DH9c7RW88ksNzy2J4+XttUwIcyc9yFXUDHvnwiQO1vXiqJSRHOgi9H8kQt9oxYfHFx69LNWF1JEGvkwmw8PDQ5yWnzhxIr6+vmg0GhtzsPb29j+sAfZ34XhDlBaLhaGhoVMWXH7PhTIzMxOFQsH27dvFx8rLy2loaBANEP8sTovgYmdnR3R09EmrGf8Wjs1crBP9ZWVlpKenExERYVNqCx2xCM4IccNeIaWifQCZVIJcJhUn3499fbPZzKxYL2RSCd8XtnLkyBGinY1YfGOZEuPLkfpeLp8UcpSVI5VQ2tqPzmBmQGfEXiFDIZXw5DmCDIjV48X6/H/vbxJZL29uFrTTLj1rMgFutvIcnx9qYs9d02wemxnrhd5oprHnqJAmwJmRR8tO3k4Kbl5bzPJEV9yP6XkcqO3BQSETMxgQ/Fh+KG5n1cxw1l2VQf6D09l391R23DaZ1RfYSux7OSoo67QtWd15hrAwOyrGljivnxpis7haMSVSOH6Quz17a3p4eXs1d8yOZMaIH8sdsyPHlNIKW/q5f140kyLcj+uiOC/BG4lEgt5k5p6NJTw6MpeS1yhoqw0Mm3Cxl6OUS8XAMy/BGxcHBavWHpWIHzYK94WPg4X42KNqzhPD3anu1nPBuCBe39XAfXMjmRrhxgUf5jF1pI/21q56ugeGKWrpZ91VGWh0RnFu5ZdVE3h+W/UYf57pUR74u9jx8vZaMSOa9sr+MYEIhHttfoI3Ly6L560Lk/nw0nQ2XD+RtTdM5ZOrJ3P33CgSPKRUlJYwOKTl2yNVXP2fI5zzzhFRQw1gVownkV4qbpweypfZLUwKc+Ou2RG8+HMNzX06Xlgaz9SX94uDm1bcPSeCR76r4L2VyazNbuH8DH9UShlv/FrHi8sSeH9vIzE+jpwR68ms14So/PiCGPqHBR23pWm+PP59JRYLPDQ/mnf31NPcN1Y6JcNXwbmJJyb5ODg4EBgYSEpKimgOplQqqaur+8MaYH8XTiT/ciozl99zoXR1deWqq67ijjvuYMeOHWRnZ3PFFVcwadIkJk6c+JeOfVoEF5VKdVI045PB6OAyPDzM4cOH6enpYdKkSXh5jaWzSqUS5FIJm/NbxfKRekBPSqALRS1jp+GtmcsZsd70a4f5IbcWmUzG1fOz2FUj9F32VKtZmib0NKZGefLpwUbym/qYm+DDTyPZy5RIT9HCVymT2kymby1V097RxcJQ+HexgczMTOyUShal+NnoiH11pAlHO9ub87KPc1iS6s957wolm623CLuPn6qHGBcgLEydI8KbTxzQ8vmVY4X9dlep0RpMTAh3F2nLpW0DvL6zluX/ziH1qV1MfmEPs17dx01rbH05ukbNpay/ZhxTIty5YoqwWxo02H6JpRJ4Z0+DSOm1LsBwVCnAOkH/rwWxvLy9GneVUO4JdndgapStdpoVLnZySlptF95ZMV409egwms08sKmUZWn+XJAZiKejgtd21LAup5UnF8WxKMWX4pZ+firtZHasF7squ9HqTagHDVwzRSBJnL1auLYXjAvixg0CgSLez4lnFsfz0f5G2kZ2/rU9w7y6PIn2fj1birq4aVownQN6rv2ykPRAJ0YSVXGK3tvZTigBbi4fY3OwMiuAFeMCbCTln/qhirs3lnK4vtdm0PZEUCgUeHn7YHQN4rA+kBcK5bxwWMfBxqMls+mhDmQEOrEkxQcXBzlf57Xx3JI4/FztuXltMTOiPbl0QtBxfXEuyPTnhZ9r+OiSFD7c38i1U0NQyKS8t6eRF5fF8/auenyclSxI8hFl9++aHYG3s5JtZV2smhnGA5vLMZkt3DIzjEP1vTb6aqNx90Tn4w45Hw9Wc7CoqCgmTJjA5MmTj6sB9t+2PP5vCFf+ngslwCuvvMLChQs599xzmT59On5+fmzYsOEvH/u0CC6n2o3SZDLR09PDvn37cHBw+M2JfoAXzk3i9R01zI4V6vib8ltP2HexZi6a7k4MA70olXYERMYT6OFI95CeEA8VVR2DIttJPTCMRmfEw1FJgp+zWBqbn+jLd0XCF+fTg42iJ4vjyILz2Y48rpohMI2slq0XZAbaCPFpdEY25bWO8U85O9mXXq2B8vYBIrwcCR8xtarost0BVnYMsruyi3dWpnIsCps1HKztISPYlckR7jbe6cdDqIcDE8LcmBh+NONp1eio6hwi6YmdNs89WoaC++eEcmGyK+52EjrVR31JnvpOoAtbg+6dXxdz3bRQbpkpBKruQT0Hans4Fkfqe7nsP3ljHjeZzTgoZNz1dQmz47yYOdL3mhjuQXZDH88tjUcplzIjypPuIQMqpYxJEe70ag1sL+/CQSHjwsyjJIj1V6byxu6ju/b/XJ6Or4sd7ioF924s4etrx/F9UTsymZQob0c6B/TcOFMoLZZ3DBHi4cC63DbcVUc3ByaTiUgvB66aHMx935TZ0LTPjPdmf10PW286quac26RhYpgb2Q193LSmiHs2lfLxgUZ+Ku3kYF0Ph+t7+bVSzca8Nl7+pYZV64q57stCLvo4j48ONNEySjR7QaIXGQEqQp0lZLgMsHpbKV7mXm7JcuHbglbe2lXHs4vjsFdImTLKaRLAxV5OtI8ja7Jb+eLyNN7eVc/9Z0YxMGzkPwebeWFpHC9tryHcy4ElqX6iU+XNM0KJ9nFkfW4rD82PFt/zyqwANDqjODQ5Wp4IIP+BaZjN5pMOLsfCzs5ujAaYvb29aHl85MgRampq6Ovr+9uyGovFctyei8ViOaXB5fdcKEHQRFu9ejXd3d0MDg6yYcOGv9xvgdMkuJxKSKVSBgYGOHLkCOHh4SdVarMK/40fWRif/6mSlEAXjjT0jnmuVRizsLCQpePCUNo7sG2EKjsp3IP9td0kBbiQ19THjGhPSkesXH2d7fi2sA0nOzntGh1uKgUeKgW3nSEsOC72ciK9VAyOtIs2N9mREBlKjI8jr/8iiAb6udpzTorth/7CtkrSgmzLA9d+lsddc6M4560DWCwWNl4nLEgavYUrJtiyxJ75sRKpRMJL5yUd99psyGslp6GP1CAX5if4MCPak5nRnkwJcyHJAy5OcWb91ZmkBrng5WQnLvhz4ry4ZU2RaDcwGpsLhKD66IIYLpkcQdOQjPQwT+wcR0mTGNW42yGqNb++PIH4UcOk92wssVE1tkqdXPpJrqjuO9rXw9/Vnm1lnTgoZJyVKAQ3vcksBngrC6tnhP49NdKDllGMtLMTvdh1+KjKcKTf0Wt+5aRgkWJ8XnoAhS39xPs5syzdn3U5reJGY291N59dLgzErctt58cyNWclHCWutPVpMRqNpPqrOC/Vhzu/LhFdRgNc7XF3UNDQreXdFUmMCzkqlLl6Vz0qpYzl6f4k+DkzpDdR2TFESesA1V1D7K3p4aP9TeyoUNvQsIOdYHGiJ1Mj3Ql0U3HTrCgadPYovUJYfWESYV6O3L2lhrraGlaEDHL7mtwx/jiXTwxCozNS2THIp5el8drOOp46J5bKzkHW5wpZz9M/VpER7Mq8eG8xMN08I5S0IBe+ym7hsQUxPLSlHKPZwpxYL7yclNy9Udhc+DorGRyVxR2+ZwpSieQvBZfRsGqAjbY8DgwMZGhoiPz8fBtl41OZ1Vjnwo5dm4aGhrBYLP9PW+x0g8lkoq2tjcHBQTIzMwkLCzuprEguk+KgkLIxr0Ws6RvNFvxd7akZZbhlMBgoKRGalxMmTGDRuEgsHKUMn5ngw7aSDs7PDGDtkWaunRYGwLnpAby/t57CZg1nJvjw3cgMzMrxQaJlcUV7P2aDsJjJJNDer6exR8uTixP4qbRTnHm5dlqYzUDlkN7Efw42su1WWxVcqybVSz9VkJd9hFUpwr8/Othq473ioJBy7ed5ONvLee/itONeH53RzJdHWvihpINfK9V0aYbQD/ZhZ+/AN+Vazvsgm80F7eJCDfBzWZdQclp+/KAFwnAowJ7qbqZFeVAwyh/+0vkT6RkG61s9uHc32dnZlFcLdN8IL0cemH9UnNCqWZYc4Ex9t5YIL5XNtPaabGEYMjXo6GMvbqvmkbOFvkt+s4buQT2b8tqYFuWBelAvzn94qOQE08Vj+48Gm/Snd4n/v2pWhPj/uU19uNjLqewY5OxEX7aXddKu0fHskniu/aKA9GDXkedpaOzRkTJqY/D4j7WYkCKVSpkU7sbl4/1ZtbaI6g4NJpOJVTND+c/BZuwVMu6dG8mkcDfOShQ2RtvKurjyswKu+ryAh7+t4Llt1by4vYZXfqm1kdcJdLXj4qxAVo4LQCUHfxcll00Ioq57iB9KOnnk7GiunBzCptJ+NlWbeHnFOK6cN46rt+nIa7PdKDw2J4CPDwiW1S8ti+eDvQ28tCyeH0u7OFjby1PnxPLodxVMj/ZkaqQHU18WGF83TQ8lI9iVzw618MTCGB7aUsGw0cy4EFfGh7qJ0v6BrnYiuQAE4U+rtMupCi7Hwmp5nJSUxLRp00hJSRGVjffs2cPhw4eprq6mt7f3pEwJTwRr6f7Y4GKVZfl/weUU4VSUxbRaLQcPHkSv1+Pk5CROoJ4sXjg3iXd21TFrpDT2/p56lqUFsGlEn2tgYMBmYtXBwQGlXEqIuwO9WgNdA8MEuQtOj/6u9vTpjER5CzdITqNQE58Z48XgsFGc0E/wd6G+e4gVGb7UqrUEOCuQS8DKNr376yJSg1xxdZDzxPeC2FygmwOLj8leVu+sEfs3VjzzQwXvLI/l/X2N9FvsmJcawqRAYSf/xeEmJkcI10drMKNSyrj2szzquobYevMkgt1/20O9qF3L4U4J2S1a+o8xHzsr0YeUQBeumRLCOytSuXVdkc3vn1sqkBgivFSiBz3Aq7/Y+so/sFl4v2fGCzv7yZMnY+/iwaM/Ccy3QHM77c1jjbAKW/r55NI0zkr04djbanGKnyg1821hO/YKKReOC8TPxY68xj5e/FkgDcyM9iK7QZjvyAp2pk9rxM5RCAILksZS5Ef3R3ZXqfn08gw+3NeATCohI9iV7IY+FiUL2dLrO2rF/4ejHjYAl08M5uHvKpHKFSiVSjLDPHh8YQzP/1zH+txW5Jh5emEka7Nb+K64nWcXx7EkxZelqb5Mi/RgaqQ7MT6OeDsp8VApiPBSMTXSnaWpvtwyI4ybpoeS4O9Mm2aYjBBXpvpZKGkfYnu5mrvnRPDwWVHkN2u48atCIrwEsc71uW2c/Y4tzRjgpiw3Hv25hcWhZkKUQ/xc2MBjZwbz9u56hg1m7pgdzr2byliY5MO4EFdxuPKm6aFkhbrxyYEmnlwUw6PfVaA1mEgLcmFegrdIaY7wUtk08r++JhOvUZno3xVcRkMikeDq6kpERARZWVlMnTqV4OBgdDodhYWF7Nmzh6KiIlpaWo7r1/JbsAaXY9/D4OAgcrkcO7sT6xv+U3BaBJe/CqtisouLC7Gxf25S16rHlRXqhqOdjLd31ZIa5EJhs4bWtnYOHDiAn58fGRlCf8N6cyxIFtzxrKWxrBGNsaVp/nyT38r982Oo7RrCxV5OQbOGrcUdxPg6kTNScpsR4oCxV5iE9fHyINxN+EgcFFJyG/uoUw/x8WUZbCloE6nH100Px0Fx9KPTGsy8uK2Kgodm2byn69eVc1m6O7f82I0ZKbdmHS0r7avpFpWMrYvj0z9UcOOX+Wy8dhx3zYngj+DtC5P54eaJlLcPUNCs4f29DSz/4MiY5+0acVY8O9EHC/DcT4Jfx80zbCmSr5wn0G6twWvAJOOlA308ujQNgLCQYDCPZfP966wossLc8XG2QzoquqQEuiCVQnOvYJ37TX4rq2YJx8wMceXD/Y242stJDHBmwogaMkCEUoOznYzn9grZ6U3HnOcTi2LZlC9sQDr6h3FXKYj2EUQj69RDBLk7YAEG9SbWXzOOd/cIJayvrhLUmT/Ye1RBYWqUJwuTfblnYwnDJgtyuZwQL2feXpHCsAlu3VBBSfsQj58dyYQQFx77roK12S1EeDpwYaYf108L5b4zI3nkrGjuPTOS8zP88XESrCBq1UP4u9qxYlyA0O/JaaVbZ+GhM8N4cH4UjT06blpTTJ1ay1sXJhPv50TK07t5d4+tpI7QV3Nj9eFePr0sFYOjDwFerlwQo+DOtXnINa0kOPRx0xd5XJrlT7inShw0vXduJBPC3Pj3vkaeOieWx76vZGDYRFKAM8vT/TnnHeF+8Xexs9GbW31BEjHHqHn/N4LLsbAqGycmJjJ16lTS0tJwdHSkpaWFffv2jfFr+S1Y+y3Hbqyt0/n/7ff2d+C0eQd/JnsZrZgcExNDUlISCoXiD/m5WCGXSXGxl7Mxr5VxI+Wa1j4dMa4W1u0qICkpiZiYGPGGsN4848PcsVNIRYOvxan+rM1uYWaMFzsqurhwnCB8GO6l4tvCNvxd7ZkW5cmHe+upqKjAS9dErcGZSREebMxrxdVO+EisU9uPbCklwd+FcC8V928SBtuC3R24emTC34qNea1kN/SKQ49W6OWOBLjac8m6ekwmE6WPzhZ/19o3bMNSA8EEbdxze/BzsefAPVO5/YwIjvfJqJQymy/8DV8VMv/NA9R0DdlIvY/OqN5bmcJ3RR2C53mkBzd/VcgnBxqJ8FKJmYIV1nmcNs0w3k5K7t1YwiNnx4h9F18vT1z9xmpJ6VvLOHjwIMOabpt5hu5BPb1DRkxmC0//UMl986KRj3yB40Z6ItdPF66plZ7tr7LQiSsJAUdLaTsqbDXOFqf6sauqG4vFwr6abqZGCmXVq6eE8O99DdSph7hnbiRv/VpHgr8zno5K1mS3HFdg0WAyMzvWm+UZAdy6tkjcTCjkMq6YHMqL5yZS2DrETevLKG4b4uopwTwyP5JITwca1EPsruhib7Wa0rZ+BodNhHo4sDjVlyWpfqiUMrYWd/JLhZo5sZ68vzKZmf4WqtU6bllbxO7qbp5cFMOlE4K4eW2ROH8yGu+tTOZgXS8HantZc2U6b+2qZ3GqP0uyIni3BK6Zk8TMtChW5wxybpiBgoJ8FrwtvM6/5oUR6mHPh/sbR4Yoq9DojMT7OXFxViBz3jgo3i+to+a3Hj07munHYQX+L4LLaEgkElxcXAgPD2fcuHFMnTqV0NBQ9Ho9xcXF7N69m8LCQpqbm9HpxqpJnGg6//+KCyWcRsHlj+JYG+LgYEGg8Q8JVx6D55Yl8sHeemZEC1nMI+sPE6/qp8biZcOesNKRQZgrSApwoXfIQGXHAH6u9qiUMhq6taQFuVLYrGFBki/5TUfd8n4qaUc6rGF/RQtTJ09kUqSPGIQc5FLS/B1E5eSDtT1UdQzw5gUp7K3uFntA104NI8LLlgF3+7oinAZt5w6+PNzEqjMi6NWZeO7AAFKphOJHzhB/f7i+d4yQpa+zHXdtKGHi83tQyUysniHlxTke3D8viikR7kglQrZjVchNDnDmxWUJHLp3Go+cHUNDtxZfZzvkUomYFa2aFc5t64XgKJVIeHtXHfecKcyIrMwKFM3CAO6eGynSkys7Bukc0PPskgQbNWd7hZQrPs0b8xmmpGcSFBSExKhjR1Wv+HhTrw6z2cyuqm7i/ASTNyusTe7WvmEsFgv3rhWG9nzcnDBI5OwboQpvvXkCP5bY6pzJpVLSg1w4Ut9LbmOfOLwZ7ePEkN5EfpOGxal+dA3qqWgfYM3VQsbydW6ryHyz4q0RTbbJER7cNy+KB74p5ceSDjETd3VQcPPMcN67KJVxYe7srOrlXz/U8FVuO/vr+qjqGqKqc4iiln52VHTy+aEmthZ1MKQ3cvnEIN5Zkcy9cyOJ9nHkm4J23iqRcLixn38tiOG2WeHsrFQz7rk9HKjt5VjcOzeSa78o5JLxgby0LJ43fq3j8YUx2MmlPLRFsCSWSaV8cLiL1SszsPeL4pVCYfF8YJIjdXW1fPhLCZfFSnhgYxG9QwaivR25fGKQOO8CtiXGVTPDxmjIWfG/Di7HQqFQ4Ovra+PXYp0r2b9/PwcPHqSyspLu7m7RhfL3dMX+6fhHOVFaMTg4SG5uLgqFgkmTJtnUJ/9KcLEGlQQfO9ztYHejntWXTOPnjWVotAZcHBTiMUanvYuS/Wjp1fHhvnqeWZLIlZND+Hh/A9dPD+O1X6q558xovitqZ3acN58caCTFS8rKREd+6bDjMicnLp9kz81rCghwtWd3k46MAAccFFK0BuEYV3+Wy847pjErxotz3z1EzgMzUcqlPL4onos/yhbPo1drYPURDXn3TyNtlHT6fRtLeGVRKLdvqefhzaU8cU48pY/OJv4xYSr3s0NNXD8tVJy6tzK8Al2UPLVNeEwu7eGmGa48eFYMAW72KGVSLBYLfVojuY19rN5Vy10bBLLDgiRfm+b+sjR/ilv6xYXjgnEBXDMllC9GlANe2FZt8zlcPD6IBzeXif/ecG2WKCxqJTYsettWx2pciCtHGvpwcrAj0MsDdcUw0I9CKhFtnGvb1ICE8d5mtFotDg4j/bJBPTKJhOrOAfpaqtnToGVmlDv5LQPM8jmaYRS19FNwjBNou2aY8zICeHl7Df06g40x2lWTQzjv/SM42cm5a04kD28pY/WFyfg62/HwljI23zCeN0YspQHe3VPPddNCsVfIiPBy5O0VKXywt56bC9q4anIIGSMZtVwqZXyYu82gKwjsN4nFAhbBDsJsNouByWSBAzVqtpZ00TVoYHasJ9fEmZkxJYjDTQPcuMa2Nyae04pk7tpQwnPbqvnqinS2FLVT2NLP68sT+Tq3jZzGPl47L4Hvizs5XN/Lq+cl8NnhZl7bUSd8dtdkktPYR7+2n38t8uDRrTXo9Xo8lCYynfTMfLX5uMe9eHygOFd0PJxuwWU0rH4tzs7OhIWFYTAY6OnpQa1WU1paitFoRKVSYTYfvQ+tsAaXUzme8b/CafPpnOzF7OjoYP/+/Xh6epKVlTWm8WUNLn+m7yKTSvBQyXnnpwIiPIRFoqxTx9lJvnw/arEcnbkAJAe6oDeZ6ezX09KrI8rHiT6tAblUilZvQimX4utix/YyYdcb6aWiwuCOp5M9Ja0anOzlzEvw4ZIReXyjyULkCBlAKZfS2jfMjyXtvHReEkN6k6g5lhXmzvmZgYwafSGn3ci6vHYO3jvD5r3dvqWe+yY4sDa7mVVrCgALJY/MYnKEsEC9s7ueEA8H8d8AzRqBqeOgkOLvasdrO2o5e/VB0p76lYTHd5D4xE4mv7iHm9YU0jtkZP4IrXZ0YLl7biRFLRq2j0x/v7cyheunhdE9pOeZH6uYHeslMqiskEiOqkoDNirHdSMaZKMXcUAcJrVXCArUnx1q4uxEYRDQioYBCal+9jS2dbJ371727dvHi9/mccNEX1wd5OwrqmZjqRA8rpkWjs5gJq/paLnOygocjbd21eLvao/JbBljbJYwYlzW0qfDx9mOqZEerM9pJdrHkasnh3DOSIB8b2WK+DcZz+yic0AI7kq5lBtnhPPI2bH8Ut7FNZ/l8cmBRmq6Bo97fytlUhRyGQqFAplcQW2Pnm+K1Dz8fTV3bCgjt1HDpVn+vLI0hrPiPCjqlpD10qHjBpYEPycePiuK674sJM7Pia+uSOe1nbWMD3XjhmmhPLlVKGs9sSiWF7fX0DWo59klcTywuVwMLD/fMoFfKrpo7tWxamY4T+1oRWHvwJT4YO5YkCY6SR6L5el+3Dt3rPbdaJzOweVYKBQKfHx8iI+PZ/LkyWRmZqJSqTAajRw4cIADBw5QUVHB5s2bUavVpyxz2bVrF4sWLSIgQLBO2LRpk83vL7/8ciQSic3P/PnzT8mx4TQKLr8Hi8VCVVUV+fn5JCQknNCG2Jpq/lGaoMVioaamhgvDDexsgflpwq7pxW1VzI715ueyo+WQY7MjiUTCJROCkUslfLRf2OlfOjGE/xxoYEVWEB/tq+eeqUJWtCDOjY1lAzT1aFmQ5MsHe4TnL88I4NfKLs6McKCgXUeMj9ArsfrCrFpTiMls4d+XpPPMj5U09QjU2ytSnfFX2S40T22tIK+pj/XXjrd5/NmDwkT+jyUdLFh9AL3ByPsXpfLySPO8oVvLvpoezop0wGWUKozWYKaxZ2zdeDRa+nQ2pS2ACzIDeGFbtVg++/yKDKZEevBtYTszXhbmHc5O8rEZhnzjgiQeFpli3mP6PVadKSsZwQprVuRqL+eJ7yu4a04UTvZy0Y3SiikxfgSGxzBjxgzc/EKo79Gj6K7BTaanvkfP5mojLyyJJc7PCaVcIjaWF6f42WQtl04IQi6VsC6nFYvFwtlJPmOMykAoGT75vSAlf9H4IPZWd2M0W1iY7Cv2rK79ooD9d08V/2bGy/v4ZZQUi6+LHXfNjWL1ihRCPRxYm93CDV8WcOOXBdyxvpiHNpfx6Lfl3L2hhJu+KuCGLwtYtbaQrcWdeDnb8cD8GN67OJ0bZ0bg6mjH+/uaGf/SQT6uPP7816ZrMylpG+CJrVV8cmkqUyM9+Pf+Rp4+J45AN3tWrSvmrERvFqf4cuu6YmZGe3LFxCCmvrSPbSO+OwfvnsLHB5uQS6WszArkro2l6E0Wpkd5sCjZl8UfCPMycqntJzzFX8I0h2Zyc3NpbGxkcPD4gfSfFFxGwyo06u7ujouLC9OmTSMyMhK1Ws0dd9zBXXfdRVlZGa+//jqVlZV/6ViDg4OkpqayevXqEz5n/vz5tLa2ij9ffvnlXzrmaPwjPh2DwUBubi7Nzc1MnDjxhLa7cDS4/JHSmLV/09DQwCVzhYHDrFCBcXSorgeJREKgmz3VI7TRY8tiANOiPDGYLZS19dMzpGdcqBsVHQMk+juTW9OGvltgFH1X1gsIWmbrc1pwtJNT3j6AXCblismhuNoL5/9LRZdYCnIbKcfds6GYqVGeTAx3Z9k7BymvqKCmsoyXlsbjZGe7UNz4ZT5yqYQ3L0yxefyiD4/w+vJEoSf0zG66BvTMT/Ah5/7popvk1motGoNQ3lqZFXjS19EKaxPfOlsS7+fExuuyUMgk3PhVIY+P0Kq3rZpkw5YCocz0TUEbsb6O/FTayQvLEsTf3fTVUamZopZ+G1006xK1pbCd9GAXQjwckEsFawQrpkZ64GIvp1drRKFQsLVmmGunhyORSAhwtSNnZD2Xt5dQlJeDn+PRr8eEcDcbBlNasKt4bUrbBsR+kPGY+0KwS1Cwo7wLqUTCvxbGktvYx7rcFjZelyWy/jblt7F2pB8DcPOaQm5bVyQqb4OQmcyM8eK+edG8szKVt1ak8OQ5cdwxO4Ibp4fx6IIY3rggmbdXpLD6whTumBPJnDhv7BRStha3k/7MLma9dpB39o6lcAN8fFEiCxK8WPJeNgsSvdl0bSYf7G3E3UHBS8vi+bmsi7d31/PckjgUMikPbinnvjMjifV1JOv5vfQPm/B2UnLw7ik8/G05sT6OzI3z4t5NpRhMFpam+jI53F1s8rurFDafz9mJ3rxz5TQmTJiAl5cXarWaw4cPs3//fhtjNPjnBhcrRrtQent7M2nSJCoqKrjyyisJCAhgy5YtJCUlER0dbWNJ/Edw1lln8eSTT7J06dITPsfOzg4/Pz/xx93d/YTP/aM4bT6dE5XF+vv72b9/P2azmUmTJuHsfGL5djjKGz9ZP4ehoSEOHDiAXq9n8uTJeLgLirhv7Kxhzois+8a8FpalH515ObYsZj1/oTEu4fODQi/h3FRfXtx0gIVhEg5rvfnmBkF6/fzMQJ79sRI7uZQZ0Z688nMVFouFGdGe1PcZuW2iO71DBlICXRgfJkiQgMBU2lut5pXzEujTGXl7TxMTJ04kPTqI55Ym2pyPyWzh3PcOEe6psvF9AQQZkKmhXDgugBmv7GN9TgvGYS1PT4DnZx3tMXxX1M4XI8KEi1P8+NeCWObGedvom4Eg3z4uxFVkQFmzCD8XOy7IDODKySG89ksNmwvaifN1YmDYxHc3TuC5nypFBQMQDMKsVGXrFP38RKHU9tLP1TZMrccWxh5XT2tXpZpLJwYzMGwcM+fi7axELpOgM5oYGDZS1NSDoaWckJAQYkOE4y3PCGDGtKn4+/vTOuJ/46gA+aBtI797UM/CkXmVx7+vwGiy4GQnY0e52uZ5Ie4OnJngzX8ONjI4bMTTUcl7K1P4/FAzg3oTh++bDgiU7MFhE/+57Kil7U+lnZz3/hGu/yKftdktNB/Hw0allOHhqMTXxQ4nOzlSiQSdwURBs4Z/72sg69ldZD27mzu/LhGzOAeZ7XV7bXkij5wVzeWfF/NTuZqNV6cR5GbH6ztquXdOKFMjXLlrYynDRjMvLkvg69w21uW28tp5CbT06Zj7hlDeuygrgC+uSOfW9cWsGBdAuJeKB0cm76+YGES4p4ol7wk9Qi9HpY10/hkxnjy3RJiBsmoNpqUJUvoxMTFYLBbKy8vZvXs3eXl5AH94tuR0wvEa+lYNtPT0dLZt20Z3dzfvvffe39rg37lzJz4+PsTGxnLDDTegVqt//49OEqd1Q7+trY3CwkJCQ0NP2jhMIpEcN7M4Hrq6usjPzycgIIDY2FgxMH10aQYzXt7DdzdNZE12M49sKaPsX7N5dXs1wwbTCV9/ZowXnx5sZE+1mvOS3VB0llHSLeOBcyeQ/30FUomEEA+h7wHgaCdjfW4LEyM8WJ/TwvLMQC5KcePr4l4APjnQyOQIDzwdleIk/5X/yeW1mfY8OdWRh/YMsrhZy6xYJ+bE+3DbGZG8+svR5rjJbGH5+4f58spMXj4nkjs2H/3d6l11+LnY8cHFqVz9WT6PAP9e7M+ClFgWTpPQ2KPlyk/zxAXtm4I2vik4vjOdwWThyAiVWC6V4OUk2BFEejtS360lwNWep5fE89ovNby7p4mN12Xx2aEmdlbY3shXTQ5hc0EbIR4OrMluZk6cF1KJhHU5Lfx7XwMLk335trCdSyYEMT3ak/tG7Ir9XOxo7BXKhA+dHYNUIqF7UOh56Ufpc8mlEgwmCzKJhH/vKCNJ1Ud8fAL+/v5QLVybCzIDsLe3JygoCI1eKEusSPela8h2ITtY2cbSJE98ne0oaNagN5lZmubPxrxW5sYf9ZpJDHDm10o1N80I58mtlTy9OI6sMHfOTvRh/HO7KX54JsUPz2Tcs7u54tM8rpgUzK47pjD95aPGZruqutlVJfR70oNccFMp8XRU4GIvRy6TYjCZGRg20to3zJ7j9IWsmBqiYk/DEFqT8D364OJUBoaN3Dri3fLOihQUMgnPbKvjgkx/rp8awg8lnWwq6ODWGSG4qxTcuraIM2I9uWZKLM//XMNnh4R7+eVz4wlwseehLeU8clY0JW39fHmkBQlw68xwBvUm0crZ11lpM3k/N86Ll89N4HiQyWR4eXnh5eUlytF3dnbS3d1Nbm4uDg4OeHp64unpiZub2z8mmzkZtpijoyOzZs0a85xThfnz57Ns2TLCw8Oprq7mgQce4KyzzmL//v1/WZ0eTqPMZTSsu5SioiJSUlKIiYn5Q+yJ32OMWedjcnNziY2NHdO/8XO1x02l4L09dSxOFSjI2Q19nJsRwJdHmo+buYAQ2FZkBTGkG+b1b7OJCA/nkqnRrM1p5eZZEby5s4avrhLKbon+zny4r4FwT0dCPBz4obidroFhorzs8XWU8eBZgixJffeQ6GFixYN7h1k8K4vnliZw/Rf5Yrnu+ulhor2xFUN6E+e9fxh/Txe+udq2RNamGebqz/K5MtbEglhXrvqmlUVvH6JzYJhgdwe2rZpEySOz+ODiVGJ9T273ZDRbCHEXVASumxrKvy9O5ewkXya/sIc12S38fOskvjzSzPfF7TYlka+vHYdMKgx3Xjw+iNa+YZ5dksDmgjYe/bach86KFpv8954ZJRqvgUBLbh2Z5rY2+tv7hzGazTbHMJmFz761vZ0d5Z1cMitVCCzAryMZk5Pd2P2Wq7MjamznUtp6h9i1Zy/jvYUM+YeCJlzs5IR6qmxcTOP9nChu0TAu1I0wTwfW5wrZ74vnCpnm4ncOY7JYyL5/OtdPC+Wj/Y1Mf3kvW2+ewFsX2s4sgSAbs6Oii/W5rXy4v5H39tTz0f5G1uW0HjewXDLhKM18T4NQ1tt95xReOS+Rqz/L57Z1xTy+MJZvbxzPpvw2dlWqWX1hMuPC3Hng2yqa+vS8vSKZziEj/9pazW0zQ5kV5caEF/aKgWXrjeOwWASFa0H+pZOv84SNyIPzoyhtGxDNx8I9HWwCy+IU3xMGlmMhkUhwdHQUy+KTJ08mMjJSmN8qLWXXrl0UFBTQ3NwsSsqfrjhRcPlvzrlceOGFnHPOOSQnJ7NkyRK+/fZbDh8+zM6dO0/J6582mYs1eOj1evLz89HpdEycOPFPaeycyDAMhA+1qKiI7u5usrKyxnhHW7H+mizmvLaPTddPYENuKxd9eITSR2dz1ae5xCZIjpu5WCwWgiTdWPQ6yoYcCQwOJTRUwnVf5DE/0ZdANweqOge4bloY7+6uI8JLxYbcFopbNdx2RiTP/VjJDekqlsU6sLpIzd1zo3hhWxUzor0wGw2UduhwtZfRpzPxwDdlvHhuEgdrezj7zf0cvHcGbioF95wZjUZnZH1Oi3heBpOFFR/l8uySePIemEHa07/anPeH5TKgj+dme7CufJgZL+9DArx/cSqTwt2ZHOHBxuuOkgMG9UY6NHp6tQaMJjNSqQQXewXezkqxPwTQ2T/Mig9zKGjWcG66PzfNCONf35azr6ZnTGBxsVfw5NZKZsV48fQPlVw0PpCtxe08vKWcF5cl8MyPQhbx0rkJSCUSfig+Sh7oHmFpXT2KutrYo2V4hMrt7aSkc0BPr1ZPf/cg++o0LM0Mwcf7qAWDVYalo3+YEA8HeoaOLoBGs8WGNQYwOyUUJz8Vy4IG2VJTy8eH25kZACtSPXh7Ry+rV6SiUChQyKS4q5S09Om4Zmoot60rItbXiZRAFw7eM40Jz+9m8duH+c/l6ayaFcHlk4KZ+PweznpTGCq8c04ki1P8+Lawjc8ONdPSd2JiRZyfE2cl+NCvM/LBPqGX9elIiXZ5lJRbFmSyLr+LaS8JWdED86OZF+/Nu3vqOVjXw61nhBPk5sC6nBa2l3Vy19wo/F3teOanalRKOe9elEZhcx/LXhcm6R2VMrbfnMn7+5vp1xl5emEUL2yvoWfIgFQi4cWl8by2s45vRoRKY3wcRXIHwGUTgv6wEgQgNviVSiXe3t54e3uLasJqtZr29nYqKipQqVRiVuPq6npaZTUmk+m4Ei+Dg4NjDL3+W4iIiMDLy4uqqipmz579+3/wOzhtggsINsS5ubm4uroyadKk4xrpnAxOlLlotVpyc3ORSqVMnjz5N/V7gj1U2CukfHWkSZzbOFjXw6UTg9maV8Wl7ravbzAYKCgoYGhoiCumR7Muv4P39tRx88wI7pwTxYvbKnnwrFjuXF/IWytSeXd3ndggHh/mzpaCNnxd7DjcrCXGycKjC2J5amsFsb5OfHG4iSl+EOVlT1WXsLhsKWhjQpg7Ty5OIKexjwnP/Ur2AzNxspPz+KJ4TGYzm/LaGF1dv29TKSWt/eTcN5UH1hzih1pbldd7t3fjooQ7U8xU61Rc/ZmgAuzpqOS2M8KZGumJj7MSR6WccK+xn43FYqGxR8umvFbeHpmZyQxxZcdtk9lR0cVNXxXa9FhA8LIPcXfgik/zUClloqJxiLuKh7eU8+ElaTzwTalI8z0z3odho4nvRwUXjU7YSIwmH2i0BrGU5GwvRy6V0Nvbx6AU8tXw0YQw8bmjXUe7RsqPoxUDatVDNPbY7oTPiPViXU4L98+LJta3k/L2AQZkTvi5qVCaWvnPt7+SGuyGl5cX82NdWZfdwq1nRPDUOfHctq6I++ZFE+3jyM7bJ3Pue0eY/8YBHj47hoXJvpQ8Mov67iHOevMgL/1czUs/284B+Trb4eogRz1oEMulAGVtA5SNur5PLYolxNJGcbuWbxoVTH9NaKS/fn4SqUEufLy/kUe/LeeaqaGkB7uS39THE99XMDfem3dWprK7Ss2zP1Zyy8xw0oNdeXJrJV8eEbKVVbPCOS/Nj/u2VDA7xoMpEa7cu7kcqUSCvVzK04uiuezTQipH7JWT/J0pGkVOuGt2BJdNtB3ePVmYTCaROmuFlYXl5OREaGiozWxJcXExJpMJDw8PMdj8r7W7TpS5aLXa37QH+TvR1NSEWq0Ws/m/itMmuLS1tZGbm0tERMQYt8g/iuMFl+7ubvLy8vD19T0hjflYbLx+Ame9sZ+112TxXVE7l3+SQ9m/ZvPeL2Vikx2E3UZOTo7oHSOVydlcrCanoZc69RBxfoLsR3GrhsmRnvxY2sHqC1O46asCzs8M5I0dNVw6MZjkQBc+3FXFLel2pHuomBPrSUFlA+XtsLcNpkSq6NaaxJ36Q5tLCfVUseXGiZzx6h6yntnJoXtn4Ggn4/EFMXg7KnnvGDbWfw42sb2omVXjHLlrYRpz3rAdRtTo4aUCKaBjRZySCHstR3rNPLyl/KSvv4u9nGcWxzMl0oNtpZ3csb6I3Kaxxmvf3zQBXxc7bllTSEO3lrvnRvHwljLBeOvHSt6/KJWHt5SJHjZ3zYkU3D+Lj52SF1hhfi5CSUxvMpM36niDw0ZiXEwMGCSUDTkyJUIqquvCUQuAIDd7UeJ+7QjTbWqkB71DBpQy2/sl0ktFdadAk12Y7Et5+wBHGgeIjs7iEb8QHvymhLk+nqjVagzqbvaUyZjipSM80Jdnl8Rx36YyVs0KJzXIle9uGs8jW8p54ntBK+yi8UHMjvOi5BGh3t7QreWNnTV8VyQE1Pb+4TFWBpMj3LljdiQJ/s7oTWYOVqt5b0cp2e3C92BWjDPPL03ETi7l00NNbMpv44pJwWTOdaNNo+PhLWVIJRJeWJaABAkPbynDQ6Xg7RUp9AwZSHxip3isb67PYkhv4u6Npdw3LxqjycK9m6tQyCRE+zhy/ZQgxr94dOo+yd/JJrA8fU6sjXjnH8XJMMWssyU+Pj5YLBYGBgZQq9W0trZSXl6Oo6OjGGhcXFz+61nNb8m/nCpF5IGBAaqqqsR/19bWkpeXh4eHBx4eHjz22GOce+65+Pn5UV1dzT333ENUVBTz5s07Jcc/bYKLs7MzaWlpeHt7//6Tfwejg4vFYqGhoYGKigri4uJEmZiTQcSI/fDWonbmxAmzLrsq1SxLcGZdUR/jkgVSQF5eHsHBwTa9oeunh/Hh3nqe/6mS1RemcPOsCG78Mp+3V6Ryy5oCnlmSgLO9nLXZzcilEopb+qnsGGRJogf/zu8gPWkQP20d32rMvLY8kVvXFdPcqyPY3UEMLgCXfJTNV1ePY/utU5j96l4mPr+LPXdOxslOzq1nRODvZs9TWyttylDNgxbu/XWAO+Rd5D84g91V3dx8jKMkwJdlekAGGJkerCTJZRh/JznObu5g74xF7oDJAh6OSjwdlXg7K2ns1o7Ij3Tx/LYqG0bQaOQ9MIMhvYnrPs+nrH2A++ZF89DIVH5p2wCfXJrGnRtKcFcpmBbpwYf7G7lofCAWi4UP9jbg6iAXbaGNZgsOo4JFWdsAGp2RjGBXchr7aO/XszzWmYJeBbuquvnyyqPmahaLhQ/3NbAyK5A91d0MDgv3jbV/4eogp10zLGZHVmh0RuJ8nShrH2BBkg/v7KpjUG9CbzTj42zHxHAP8vuULEpPF+5F70a+KGxjSW8XRqORq+LcWb29nOmxvlw0IYRXzktke3kX7++p54VtVby3p454P2cmR3gIwXZJPC8ss2UEghBIG7q11KmH+KG4gys/zRPPNdJNxurzE5kS5cWRhl7e2FmLg0LGyqxAkgNd6NMaeOnnaurUQ9wwPYxYXyfW57awrbSTVbMiSA5w5v29DaJidZCbPVtvnshXR5rJaezj9fOT+am0g28L25FK4OwkX2ZEezL+xaNkBA+VgqJRrqBvnBfH1EgPsaz8ZxZ1i8Xyh/7ueBPz3d3dqNVqCgsLsVgsYlbj4eHxX8lqjEbjCRv6pyq4HDlyxIYQcMcddwBw2WWX8fbbb1NQUMAnn3xCb28vAQEBnHnmmTzxxBOn7P1LLP8rA+ljYDabbYQG/wqys7Px8vIiKCiIkpISurq6SEtL+1Mc7vL2Ac556wD/uTyDaz7LY9hoZvPKYJ7c2cGqKX70ttaRmJh43NmbRzaX0qbRsTjVnwXJfvxQ3E5N1yDzEnx56ecqnjwnnknP78LZXk6/zsj986LZX9mOn3yIYaOJS7P8CQiL5LZ1xUwKd+fl7dXMiPaka1BPcYvtwN7aq8cR6eXAmW8cQD1oYM+dU/BwFCTK99V0c++GYtRDY/tQfi52PDA/mtmxXmzKb7ORXfk78OKyBM5O8iWvsY/7vyllYNjEnXMieOAb4bjJAc5cPy2MBzaXEuqh4olFsSx+5zAvnZvAWYm+7KvpFst1IKgrf1/cwYeXpIkumAvfOsiw0UyynwM/lAkDmm9fmMxbu+oobOkn+/7pYjDKb+pjxYc5fHVVJvdvKmVhsi/XTwsVd+o3TA/jYG0POY22PZfXz0/C01HJ3upubp4Zzt0bivmuqINLJgRx/7xo9CYz132ez+vnJ+NsL+zhntxawfQoD9L97Ojs7KSjs5NNpf00ahVcO9GXtAh/nJyd2VPdw9bidsraBmjvH8ZiEUQtXewVKOUSTGbo1xnH2B34OttxTpIXnvo2UoPdcfIP59vCDvKbNWSFunFehj/eTnb0aQ18ebiZ7IZerpoSysRwd/Kb+nhjZy1z4gThzO5BPTNe2WfzfjNDXHni+0qSA51ZMS6QZ3+qomtAT7/OyN1zI9HqTcd1AbXi88tSSfBzFN0QQVj4pVKp+N+TQV9fH0VFRUyZMuWknv9bsFgs9Pf3o1arUavVaDQanJ2dbbKav0OK5ciRI4SEhODjY2vhMHHiRJ566imWLFlyyo/538Zpk7mcSshkMnQ6HYcOCSWfSZMmYW//2x4lJ4LVRfBAbQ/jw9zZXaXmQJOOuQEm3tvbwAsXnJgUcNfcKK7/Ip/PDjUyLcqTeQk+3LKmgEXJfkyJ8GBLQRsfX5bB5Z/kMD3ak2d+rOTceEcYHmZA5k6vnS8JKjueWhzPA5tKuGJSCB/tb2BlVhASJBS1aMSS0PkfHOGrK9P5edUkLvkkl6kv7WXDtVnE+jriY+7mrmQjG1qcONI4YNOHadMMs2ptEfF+TtwyM5yih2dS2THI0nfHquL+Fdw9N5LLJwYzqDfx3I+VrM9tJcJLxZWTQ8TA8uQ5cTT3aLlvUylpwS68uCyR894/QoSXivkJPpjMFp79USi/GEwWIYsbyYwmhAmfwcCwkZquIa7K8ub74g5UChlDBjNymZTCln6C3e1tspxvi9rxclIS5e2IQiYIbdaPGI9NCHMj1MNBtEcYjf01PTwwP5q3d9UBgh7ad0UdfHqwiXvmRqGUSbllZjiPf1/B80vjkUgk3DUnklVri/CbE0nMSPk3I11PQU0LH+xv4eODrUwLkDA+wovbJ3nj7hFNi8ZAZccgbZph+rQGDCYzUokEJ3s5bg4KgtzsCfZwwN/Fju5eDRt35VI+7MiuAhMhTc0sSvZj1SxhULRrQM/LP1dT0THAyqwgrpsWSnOvjge+KUUpl/LCsgRc7BW8tqPGZrg1+/7pHKnv5Y71xdw9NwpXBwW3rCnEaSRovro8ka+OtIg6aU52MgaGbcvS22+dhP8Ik89sNtv8jC5hS6VS8edEOJH3/J+BVd3YqnCs1+vFrCY/f6TnOBJoPDw8UCqVv/OKJ4fjvQcr1fr/glEY/B8NLiaTiYaGBvz8/EhISPjLnO31147nvPcO8d5FaeQ19fL0rk7emAqObt70mZS4neDvXBwUoojla79U8/CCOO6eG82zP1byxgUprFpbwORID85J8WNzQRsJ3kq+Lh0k1UvOPedEs3pnLcEeKoLdHbjnzGhe31HD/EQfvjjcxLVTw1DIJOQ29iEbMRi78MNc3l2ZwpqrMnn+pyqWvXeYW7OcSHQeZvaULBY5OvLJgUbe3V0/psxT2jbAjV8VEuRmzyUTgtl95xQ8HZUUNmu4/5tSm+n0k0WKr5JH5kUQF+LLgN7E+3sb+PJwMzqjiYvHB/HunnoKW4RezoZrs3jmx0rK2wdYnuHPbbMjeHV7DY09WvbcOQWJRMLXOS025lrxfk78VNrJwmRfcXf52HcVuNhJya3toHVIwqRwV/bX9pDf1IdCJhFLnSDMAW3IbePyiUGYLRYUMikms0WUeZmf6EOoh4Po6jkaDd1DyKQS/F3tqVMPkRrkKpbhvjrSzEXjg8gIcSO/WcNnh5q4ZEIw9goZzy2N566vS8R+i1KpZFxcGOPiwqhXD/LlwTqe3teHi0xNoL2ROD9nogI9mZDoh4uTsOsfMpjoGTTQ3j9MbdcQOyvVVLT1MdivITXIjYumRhLv74xEIsFisZDfpGFNdgtag3Dd75gTSdeAnqd/rEQ9YOCG6WFE+ziOZHFHS1rPLI5nXoI3L20XCAVvrUhhR3kXa7JbUMokhHuquHFGGMvfz6a8XSh9JQc4i4rWVhy5b7qN9cLo4GEV17QGGovFIjI9T5TV/NGy2B+B1bPFz88Pi8WCRqNBrVbT2NhISUkJLi4uYrBxdnb+01nNb825/L/gcopxqlLPxsZGurq6cHd3Jykp6ZS8bvLI5HlefSeBDibKdJCvceCWM6J469danjtOLdyKOfE+bC3uoKBZQ0FzHymBrkyK8ODf++p5ZEEc924o5vXzE9lc0EZJp8D86R2G13fUcNOMcB7ZXMpbK1JJDHBhZVYQ3xW1EeXtyHt76jg/IwCT2UxB89Ev83VfFHDP3EhumxmCg7aD1w4PMD/Bi/H2KqQSCVdMCmFegg/P/1TFttJOjq2JNvXqeObHSp75sZIJYW6cGe/Da8uTiPBSIZFI0BvNlLb1U901RElrP3qjGblMQqiHiqQAZ+J8nbCXS+ju7qahtZ3tORU8v7WUkj4pRjPMifOioGWAd0c01V4/P4mqjkGu/SIfB4WU55cmMD3ak80FbXy4v5Evr8zAw1FJc6+WJ0Y0ukDIKqwL1hOLYgE4WNvNTyXtnB8J9UY36OrDaLYwJcKdN3+t46YZYXQOHGVXHa7vRWswMTvOG5PZglwqwQKirP7MaC+UcgkK2dh7SCmXUdM1yLnp/qzPaeGuuVHcMjOcKz7N46kfKlmS6oejnZzLJwZz94YSon16mBjujrtKyavLk3h4SxmZIRpWZgWJhIVQT0fuO1u4l5p7teTUqSmo72LH/la6B+uRSKUolEpcHR3wdVXh42JPhJeKM8LsyJT1ERcbQ1CQwMDq7B9ma3EHu6rUJPg7c/PMMALdHOjsH+bFbVXUdA1x7dRQ0oJd6RnSs/Ctg+IGItjdgS03jqe0tZ8bvizgikkhZIa48tTWSob0JiQwEjxdSXnyKK191oiHkRVOdjIO3DPNxrTtWFiDxGhNwN/Lav5b0i9WJ0qrG+Xw8LCY1TQ2NiKRSGyyGoVC8fsvOoL/PwSX06bnYrFY0Ov1v//EE8BsNlNaWkp7ezuenp7I5XISE0+86P9R/JhdxarNdaxeFMTdP7QwZDBT/MgZPPptGSuygkgKcDnh33b2D3PdF3k42cl5/6I0lHIp924s5tz0ADr7BtmWW8VZkY7cul2DvVyKzmjmhunh5Db2siIriB+KO3jh3EQUMilrjjRR0T7A+pwWdEYz56X7U9rWT3GrLcV3nLeEO6d44uwfzsIRLaf114wTlXpBUPl9fUcNpW0DNg3/48HFXk5SgDPRPk6Ee6rwdFLgaq9ApZRhNFvQG810D+np6NdT0zVIZccgxS39WABfZwWuSihsP8pwWhDjTGqoJ1/ldtA9aGBuvBe3nxGJm0rB1uIO7vy6WOyz6E1mLvkoR9wRZ4W6Eehmz6b8NqZHefDOylT6tXqu+OggBqOJSyZHcLChX2RXPbsknvs2lfL2hcm09A2zYoSy/Oi3ZRyo7eWHmyfQpzVyy9pCEv2d+c/IbEjxwzMBuPGrQnHIEoTFNzPElXBPFVdPCeHaz/NZfWEKSrmUic/vRqMzMjvWizcuEIYgtQYTd6wv5opJwaJMvtliYV2O0Dy/ZLygOPBbGyGj0Uh3dzednZ10dXVhNpvFBa2lpYWkpCT0Sld2VanZX9ODk52MsxJ9mBzpgVImpaFby0f7G+gZMnDJhCAyQ9wYNpp4+odK1uW0isf5/IoMYnwdeX1HLYPDJu6aE0l99xCv/lKDr4sdGq2Rh8+OobpzkGu/KBD/LsJLZZPdnhnvzavLk37znvo9WDMZq8q59aejo4O2tjbS09P/UK/mVMJsNotZjVqtZnBw0CarcXJy+s3Pc+fOnWRlZdkMTJpMJtzd3amtrSUsLOy/8C7+XvyfCC7Dw8Pk5uZiNptJT0+npaWFwcFBUlJSfv+PT+K8KioqaGxs5O4DUjJC3Yl0lfJJdidnJ/ny8Nmx3LG+iHdXpmKnOHH57evcFraMSJs8viieIb2Ja/5zmGUBA/zapeKcrEiQSLjpywLG+8ChDnhgfgz7a7o5J9WP7WVdPLc0AZlUwpojjeQ29JHbpKG+W8vKrEAKmzVjyhF2cinf3jgBH2clz/1UxReHm1kxLpC750aKVFyLxcKuqm7e3V1HcWs/JrOF34kzYyCVgNki/FculeJsLxsjP2/FFRMDMet1bKvooU9nItxVyiXpnkyJC8TNzY1PDjbxwrZqnl0SzzkpQmni4S3lbBjRdZMgzM4Ig40a8h6cASYjt39+EC8HCXJnLzoHDfxaqWZGtCc/l3WxLM2f7eWdXDohmInh7qQHu6I3mpn/5gHmxXtz77xo2jQ6HvimjFgfRz4ZCS5WKvANXxbYBJdZMV6olDL6tAbeuyiVNdnNOChknJPiR3n7gNivem15kigFM6Q38cA3pcyK8RJVHwA0OqG5frCul/QgFyZHepAc4IJSfuIF02Kx0NnTx96CSgqb+qjtlzBoURDi4cAZcb7MiA/A0U6OyWxhV6WajfmtONnJuXRCMHF+ThjNZj4duc5W3DA9jFtmhrOnSs2/9zVwzZRQxoW58f6eetHoLivUjSsnh3Dn18X8NGLrbd0MjcZ9Z0Zx6cSTZ2WeLMxmMwMDA+Tn5+Pt7U1oaKj4u5Pp1fyd0Ol0YlbT3d2NTCazyWpGz+xZLBZ27NjB5MmTbXrBGo2GoKAgOjs78fLyOt5h/lE4bYIL/Dkhut7eXnJzc/H09CQxMRGZTEZdXR09PT2kp6f//gv8BgwGA/n5+Wi1WjIyMjBJlWQ9+yurl0bw3M+1NPRb2HzjRJp7tRyu6+XeedEnfC2LxcIta4Sd3oxoLyb6mPk1p4wfOpx477Lx3LG+kBtnhPNTYQvv728W+zD3z4umrH2A6dGe7Kzo4omFsUiw8GNpF9vLuzCaLGwr6+ScFF+qWntp6tWhMUhsvvRPLIpjWZofxa39nP9BtvjY0jQ/sWRhsQi9hg15rfxU2onOYMZiEaiufxWJ/s5MDHenomNAZLllhbmxIjOAMEcjXV1dNLV18G6xhdIeeO6sYOanhaJQKHj+pyo+PnBUxXdKhDsZIW68sbOWxxfGsiDenTe/O0yPUYFR6cKSNH+2FLTzTUEb56X7s7mgHb3JzAvLEvi2sJ3Xz09CIZPyS3kXD24u5c0LkskMcaOyY4AXtlXj62LH1yMSLdbgctfXxTZDmzOjPTGaLXg7K7lmSih+Lnbc8GUBH1ychkwq4erP8kT3ym2rJhLoJgyGGs1m3t5VT2ufjrvmRIpsPhAymYImDQdqeyhu7Rcb9w5KGUqZFJPFgs5gEoO/cXgIJ4uWGcnhjAv3RKLT0NXVhVqtpmNYRnG/A7X9MDPWh3MzAnBXKTGazXxxqJlnfzo6+5Aa6MJ/Lk9HPajn1V9qcFcpuWVmODVdg7y8vYZgdwcauoe4c04kQe4OTH5hj/i3E8LcRBdPK764IoO0Y/x5ThUGBwfJzs7Gx8eH6Gjhu2YymWxM0QCxT/O/zGr6+vrErGZoaAhXV1ebAc7du3czbdo0m1Jaa2srsbGxDA0N2RiI/VNxWgUXvV7/h0y+mpqaKC0tJTo6mtDQUDENbWxspL29nXHjxv3pc7EORqpUKlJSUsSb4ItDTTz2XRn3ZCp4PlvYnRc/cgaPfVfOohS/Me6Ao9E9qGfVGmGKf0GQnqXTMzjcZuBIfS+rZkVyy5oC7psdwmMbc8npkjAr1osd5V1cPy0MrcFEgp8TB2q7eXxRHDKplF8r1azNbiHKW8X7exvwtodQb2d0JkGS3k4uZXgkwMT4OPLBxWl4OCr4ZhTl+O0Lk5kW7WlTFx/UG9lZoWZXpZqDdT1otEah/uwgRz2oH+ORciyC3OwJ91JhsUB9txaNTpADifJ2ZEa0JwuSfEU7ARCsnK/4NA+ZBN5c4IdyuJeBgUHWNdixp/ko8WBRsi8uDnI+H9G02n9rBt/tyeWHViX3LUjii8Mt2CsEIUdrqSfW14nariG+vXE8L/5cLZZq7tlYQmXHAOuvyUImlZDT0MsHexsYGDZypKGPAFd7fr51EiD0v6wunQCBbvacl+6PBRg2mLn1jAg+PdiEh6OCBUm+GM1mm16ElRxhRUGzhjd31pIe7MqKrEAbyZzRsFgsaA1mMdDYK6TIpRLKy8vp6OggIyMDJycnzBYLRS397K5Sk9vYh5+jlCwfCR7mXvR6PY4ubuxok/Fp7lHfHBd7Od/fNAFHOxkf7W+ksFnDrbMiCPFwYPWvddSph5DLJHiolNwxJ4I9Vd3cPmJTDTAj2tMmmwPYd9dU3FQn33f4IxgYGCA7O5uAgACioqLGlJys/RlroPkrVOdTDa1Wa5PVyOVy9Ho9iYmJYgkfoKqqiokTJ6LVak8rqZo/i39kcDGbzZSVldHa2kpqauqYFLKlpYXGxkYmTJjwp86js7OT/Pz8MYORVsQ++jPjfSVEhwby+aEmzkr05cnF8dz4ZT5vXZgqUjSPhcFgYPOubD7MH8TZ2Ym3Vqbj4ajkuR8rSQpwJiPEjXu+LmSJt5ovWtwpaunnzHhvfirt5JYZYbT06UgLdqWgWcMjZ8cik0rYX9XJKz+VkuQp5atyIdgtS/OntmtQnIqXSSSYRq7r9dNCuX5aGCaLhbd31YmU04fOiubcdH/s5LalPZPZQmlbP0Ut/RS2aGjs1tLcp6Nn0IB0lNGT9X8lSJBIBMmYQDeh4Zwc6MLEcHebBRYEV8n7N5WS36zh0gkCi0kpkzJsNDHj5b1odCacFBIGDBYm+UmRKe3Y0yDQhH+8OoHsgmLWNDjwxsoMHvuugssnBfPpwSZ+Ku1k1cxwXt9ZS5S3I5HeKhYm+9Kh0bMiK5AhvYll7x1maqQHD40IhP46IgaZ3dBHr9bAyqxA8Xeb8ltFurQV31w/ni+PNFGn1vL+RakYTGZu+LKAt1ekYK+QUdzSz/IPjogBftuqSQS6HS2BWCwWdld1sy5HCIjTojwZH+aGr7PdCWv1ZrOZ4uJiWtR9OAdGU9o5TGGzhiG9iUR/Z6ZHe5Ic6Ix8ZGFq1+h4ZHMpu2t6xdeQS+C9c/yJCfbhcJuBr460sCIrkLlx3hys6+Xd3XWEeaqoUw9x4/Qw0oJdWfjWIVH+xkEhRaW0LXtGeTvyzfVZf5s1b39/P9nZ2QQHB5+UesfoXs3xshrrwv2/WMBNJhPt7e2UlZWhUqnQarW4ubmRk5ODs7Mzd955Jz09PX/5Wu7atYsXXniB7OxsWltb2bhxo83sjMVi4dFHH+X999+nt7eXKVOm8Pbbb4sZ4anAPy646PV6cnNzMRqNpKenH1eHp729nerqaiZPnvyHjm+xWKirq6OqquqEg5EAta1dzH8njzVXZ/HgNyVUdQ6y/trxDBtNbMpr5cnFY1VeR2dCHcoAPjvcjLO9nDcvEPpCt6wp4KopoSgkZh79OpvPbpjF7Ff30as1MD/Bmx9KOnlgXhR5TRqmRHrwa6Wa+2eHUFlSwJBUxVfVEhYm+4lT7ldOCia3sY/uIYM4tzEaL52byPwEbwwmCxvyWnl8hIk1IcyNm2aEkxHi+pssn0G9ka4BPcMGM1qDoPXkoJDioJDh42x3wp6BxWIhu6GP57dVUdTST3KAM88tTRDNtqxDjXC0SbwwyYeeAWEKvbnfxP1pZlwUZr5sUPHYOUnU9gxT1zVEQ48Wbycl74+a4F+c4sfceO+RqfNw/F3t+a6onWd+qGT1hcmkBgklnHU5LeQ29rEpX1DzfW9lClOjPAHIaejl4o9zbd7Hj7dM5InvK5gQ5kaAmwNnJfqws6KLnIY+7pgjWPRuyGvloc1l+Lva0do3zDsrUpge7TnmmnQN6NlX083h+l66RthsMqkEZzs5EomgQDCgM9Kn6cNkMhPi50mUjzMpgS4kBziLFs8glDF/Lu3krg0lNsfwd7Xj00tTkekH2FHczPriPiJd4PxUT+SObvwnvw+lXM6g3kiwuwM3zwynuKWfSz85+r7nxHnxc1mXzevePTeSKyad2Ov+r0Kj0ZCTk0NoaOifFnQ83bKagYEBcnJymD59OkNDQ6jVam688Ub27t2LxWLhmmuuYcGCBcyaNetPKyRv3bqVvXv3kpmZybJly8YEl+eee45nnnmGTz75hPDwcB5++GEKCwspKSn50zOBx+IfFVyswpZubm4kJSWdUNiyq6uLkpISpk+fftLHNplMFBcXo1arycjIwNX1xHXjgYEB/rV2P1vqJaxekcJtawsxmCwUPDSL13bUkBHiypy4o5O3arWavLw8AgMDiY2NRSKR8OaOGg7UdpMW7Mpdc6MZHDZy27pCbpgawq8HjtAo9edfC2PJem43IJh1fVPQxkNnRbOvpodFsc68s6uWO6f5MSUtjmGjmWd+rMTLyY5dlWqKW/vxc7Ej3s+ZPq1BnDB3c1DY6KI9sSiWRSl+KKTCzMwbO2vFOnrGiNvi+DB3vJz+/PCYwWSmpLWfjfltNppdd8+NJNpHoF1qDSYWv32IphH/GE9HBepBA8vS/OnXGekcGCavScMjMzxx1XfxaY2SRWES7ExavqxVclGGN7mdZtbldfDg/Gie+qGS+Qk+9GkNvHhuAg9vKefNEfbWrWuLaO7Tsu7qceIO8Y2dtfTrjHx2SGjmH7xnmjhZ3zWgF/1Vorwdqeoc5PXzk+ga0GMnl/JdUTvvX5SKRCLh3o0lXDw+SKSvr8lu5rHvKhgX4sqRhj4mhrvzxKJYsQ9zIhjNZgaGBdqv2WSkvLgAmVRKWlraGMqr3mTmQE0PL22vpnKU6jAIAeGFZQnYyWXkN/Xx3p4GorxVXDEpGP3QAP/eW0d+cz/uCiNdegVXj/dhQkwAqzZWiR49cPz+ytfXjiPe77fN+/4KrP3UiIgIm+b9X8GxVOfjZTV/d6A5kcLA5s2buffee1m6dCnff/89zc3NHDlyhKSkv8a6k0gkNsHFYrEQEBDAnXfeyV133SWek6+vLx9//DEXXnjhXzqeFafNnAsgDn0dDy0tLRQXFxMZGUl4ePhvpo2/5+dyLHQ6Hbm5wg7tZKb5pVIps/1NbKmXs6+6m3kJvnxb2MYd64t4ZXky136eR3qQG55OShoaGigvLyc+Pl6cQQC4cYbQNN1X082GXMHp8uXzkrl1TT6TnSxMDnHlse/K2X/3FCa9sJdvCto4O9GHJ7dWckWmJ+/tquHWmWF8mK9B5dlHRogbjy2M4+vcVvxc7Fia5seTWytp0wyzMisQuVTCsNFM/siAoIu9HI3OyMNbynl4SzlXTw5h5fhAPro0Hb3RzIHaHjbktdrsgN0cFJyV6ENKoAteTko8HBW42CuQSYVymN5kpk9roHfIQGOPjkP1PWwv6xJpzoFu9jx5ThxnxnuLvimDeiN3rC9m94iCcZyfE2VtA6gHDSxI8kEmlVDa1k9Tr447JrjgYe5lfbsbt88LJzPUjZu/zOeaiSreO9CGHQZAymu/CA3rKZHuqAcN/FTayYIkIdj3DAlZwlVTQmzuoTaNDglH/+08qrTp6Xh0MY/1daKqc5Cfyzp5YH40924sJTPEjZ0VambFenH//GhuX1fEM0vi8XOx54LMQCK9HLn0k1xUShl16iHmvn6A8aFu3DgjjIwQV7GMNRpyqRQ3BynDw8Pk5OXh4OBAcnKyYFRnsVDdOcSOii7e3lUn9tVG45XzEpmXIIg27q/t4fNDzQS52/OvhTF4Oir5saSDtdktxPk64+QiZXKkG9MDZeytaGPya9ni64wLcuRI0+CYwJL3wIzfZLT9VfT09JCbm0t0dPQf0gP8PfzVAc5TgRPNuJjNZnx9fXnjjTd4/fXXqaioIDIy8pQeGwQBy7a2NubMmSM+5urqyoQJE9i/f///zeByPJjNZioqKmhqajppYcs/ElysuyMvL6+TnuaXyWRIJLD9tsnMfnUfa67OoqhFw89lneQ09nLfvGge+66UaxNldHR0MG7cuDG6ZlKphCfOieeGL/P5Jr8VuUzCOSn+vHheEpe9+ys3+HYzJcSJh7eUc+jeaSx99zDfF3cwIdCej7LVLEv25pO8Pq6ZEsp/DjZR0zXEuen+nJvuT0qgCy9sq+LeM6NYl9MiWhUvzwhAIoH+YSPVI1Lo1kzmg30NfLCvAUeljHvOjGJunLdYwlEP6ilt7aegWcMPJZ2i7PpvQQKMD3PjjtkRZIa4EevnJCoLC6WxXm76qlBUCgjxcEBnMFHWNsDkCHdMZgtxvk68tF0QTbxnvApfOz1fNThx6xmRpAa58vL2auYk+LKvWcOFk6J45Nty7psVwLM7WrgsFj7fXc790zx5PUfHOxelAfDl4WYkEuFajEb3oOG4NsJgO+DbNSAwGjcXtPPskgQivFSkBLrwwd56JkW44+ag4LGFcTz4TRmvLk/C2V7OuFA3ch+YzrnvHaGmawhvJyVDBhOXj+hw+bnYcU6KH9E+jvg4KXG0k6OQSegf1JJbVIpF6Yhe78rzn+TZqD0fi8smBnPrrHDsFTL0JjPfF7WzIa+VtCBXnjwnFneVkn013dy/r5QYHyd8nO3QGgUmnb1Cxrw3DohlOYDZ4Q5sr7XNhK6fEsSq2aeuLn88WKVXYmNjCQwM/P0/+JM43gCndabmz8jSnCxOJF8z2ihMIpEQGxv7l491PLS1CaVfX19bZWpfX1/xd6cCp3VwsRqHDQ8PM2nSpJOuP55scGlubqakpGQM2+z3YL0xfJ0UXDk5lAs+OCyWxy77OIcDd03G3dLP+gIT9y6ddEJaoaOdnKcXJ3DfxmK+zmlBJoF58d68sDSBh76r5rywbpKUFq77+CBvLgrh2Z/rONisY2KYKxsKu5gZ7cnXea2kB7vSM2Tgzq9LePAswSfknZUprDnSQoCrPTfPDOeO9cWsy2nBx1nJjGhPXO0VaA0m0V/FTi7FTi5FozPy6LflPPqtIMtyQWYAc+O8SQpwYWqUJzfOsK17my0WjCYLRrMFO7lUnDY/Ft2Deg7W9fL6jhqbHlC0jyNDehMN3Vpc7OUsSPJhSG8iOcBFDCzPTbVjyCJhTb0djy6II9xLxdrsFsxmC2azBXcHBY98W85NM8J4dkcdAOnJiTh6dlPeqyfUXsf+PbtQubixMVfHjMix5ALARlrmRDhSf7RUpB7Uc/mkYB77roKLxgfx/p56bhlhXN12RgS3ry/i6cXx+DjbYSeX8e2NE+gcGOayT3IpGqFkK2QS3FQK1ma32JQrbaEZ+RmLe+ZGsjIrSMwiWvp0rM2up6BZw5w4L147PwlHpZwj9b18tL8MXxc7wjxV1HdruXF6GIkBznx6sEk0YwNBvj+7oY/ttba9uuemq3Aw1rN/fxfe3t54eXnh6up6Shv5nZ2dFBYWEh8ff8p8RU4Wx8tqRg9wnqqs5mQsjv8v4LQKLqNv0v7+fpFBMXHixD9kHCaTycTdx/E+fKuNclNTE+np6X94YGn0TueeM6P4cF89uyrU3DQjgld/qWbii/v4/Bx3NjTYsaeun7nxJ66vB7k78PTiBO7fVMxnBxuRYOHMeD/evNiDuzeWcOd0fwJaOrhvcyUXR5kIcXFkXXkfAa527ByhgkZ7O1LdNcTF4wO5Z0MJK7ICmRPnzYqsQM6I9eKFbVVcNjEYVwc5r++oZV1OK8HuDkyKcEellGE2W8ht0ojlFVcHOTKJhO4hA2uyW1iTfdTV0kEhJTPEjdQgF4LdHXC1l6OQS1HKpIIboN7EoN5EbdcQ2Q29Y8opIOzUXezl1HdrqewYxNlOCCpdA3pifJx4Y2ctOyrURHg6cEeSnj1dcjQ48uaFsTjZyfkmv43i1n7mxXuzLreF0rYBXB3kbByx1t1311RuX1/Emxcms2pNEa+fPxmJSc+Hu6vo1w0QJ2tn//4BcYE0yR1wH0WhTQoY20ewamaZRpVtvzzczM0zw4n1ERaEVs0we6u7mRLpQXKgCw+dFcN9m0q5bGIwM0ayQG8nO76/aSIWi4XD9b28vavuuNfoeEgLcmFJqj8Lk31ttLoGho18V9TOz2VdONvLOC89gFtnCZuAvdXdfHaoiVBPFZFejpS09XPFpBAmR7hT2TFIwuM7bI6xJNVPJDVYkeDvxNqrxyGVSDAYDHR1ddHV1UVubi4SiUT0uPf09PxDEijHoqOjg8LCQpKSksbsqv/b+Duzmv+19IufnzDE297ebhPA29vbSUtLO2XHOa2CixVtbW0UFhYSHh5OZGTkH94ZWQPR8dLP0YORfyQbGg3r+Vgd8fbdPZ3JL+zi4bkhjPOGI53wSr6Fjy9L4Na1hXg72Z1wsMxisRDgquSpc+K4/5tSPtrfhFImY1asF88vTeDu9YVM9Rjgxone/KdkmBsyXfF16OLNPKGEE+ul5PWdtdwyM4w3dtZyzZRQDtT1sKOii7vnRuHrYseL5yaS3dDLv/c2cM2UENxVCp7fVk1jtrAzXZkViNeIFLvWYBoz6e/pqEQiERrbWoOZPdXdx/VrPxF8nJWolDJx7qVNM0ybZpiMYFe8nJRodEbCPVV0Deh5ZcQ75PUlkbTWV/NhhT3LxgWxNM0fiUTCfw40Uqse4pwUXz7Y24CXk5KGbi23zgrntR21fH5FBh/tb+CSCcHsquxmcoQ7jnZyBvXwQ7WWzDAPLl0Yj1qtprOzk9zcXMr7JLhYjt4HM47D6JoV6yVel2unhvLennre2lXHzTPDuXZaKNd/UcCL5yZy78YSgtztCfVQEeapYvWFyazeWcs3+W1cPy2UmBGVbYlEwvgw9zFzUdade0xMjE2P7lh09A+zq1LNnupujGYLc+O8eX5pPI52cvRGM5sL2vm2sI1YXycS/J3JbezjvIwAbpsdweCwiekv77NxsVye4c83+e1jAsvbK1JsrodCocDf3x9/f39xWLCrq4va2lqKiopwcxPcN729vVGpVCf93W1ra6OkpITk5OQxMvSnA06U1YwmB1if93sDnP/rzCU8PBw/Pz+2b98uBhONRsPBgwe54YYbTtlxTqvgYpVaaWhoIDU19U/fZNYPzmQy2eykrBRAR0fHv2SjLJFIhMbqyA3l4ajgjUVB3LKlgTcXh2HO7eFIfS9v7qzh+aWJ3LKmgH8tjCPU05Y2PfoGDXJ34LmlwuK0elctMqmEaCc9FwT2saXNBY8QL144151HtpSzPCOKLROULHo3h/IuPWmeFt7YWUeEm4LvC5qQypWcGefN3V8XMzXKkxVZgWSGuJER7MqB2h4+2t/I9dNC8XBU8vQPlWJPZnyoG3F+zng52TGkN2KxQEOPEAyOhWJkwE4qFZrPppGmvUImwWS20Ks1iLLrHf1HF7GMYFfcVQqGjWbcVQqxxHWgVhjwu2VmONMCZbz5SyUKlQuvXJiMt7MdepOZ536sxF2l4Mx4b97fU0+srxPv723g9fOTWLW2iJtnhGG2WOga1JMR4srt64p4Z6VA9f5wXyMms4VrpgiT/1blW7PZTO62crykR9+jt7GTxkY53t7eIrljVowXr+8QJOU9RmU5+U19pAa5cvPMcJ7aWskTi+J44JtSHl0QS5inCgeFjLvmRtHYo+Xf+xro0AwzM8aLaVEeogS9Fa2trZSUlIzZuZvMFhq6tZS09ZPd0EtTjw5PRyUzYjx5YlGcSD5o7dPx4b4Gka6eHOhCQbOG5RkB3DRSzrx3Y4mouQYC3TvK29FGXwyEDcFPqyaNceAcDalUiru7O+7u7kRHR6PVaunq6qKzs5Pq6mrs7OzEQOPu7n7CxbalpYWysjJSUlL+EbInJ8pqRhME4MTls/9GcPktF8qQkBBuu+02nnzySaKjo0UqckBAwCn1kTmtqMglJSU0NzeLk8d/BT/99BNTpkwRP6zfG4z8o9i+fTvjxo3D2dmZkpISOjo6aFKG8NS2OjZdP4Fb1xZQ363ltfOTSQ925e4Nxby6PFmU/Bhdzx3tB97ap+POr4sZGNIx0VPPtXOT8fD05NVfajCbLayaFcErv9RgtlhYNSucO9cXs6uqG6VMAhYLejOcFwHlAwoWJXrj5OzMNwXtrMwKYk6cl8jIO1zfy7qcVswWC3PjvfmhuEPUiwKhF5IW5IrZYqGzfxij2SJKjwwMG+keNNAzZDiuPIxKKcPFXo6/ix1O9nKkEoGHZTRbCPV0wMVOTmXnoM3MxD1zIwXv9p9LKG/t46ZZUcxIEuYn6ruHeGprJednBqDRGdldpcbfxZ6PDzTy5gXJ3LymkLQgF147P4l7NpTwxgXJPPtjFcsz/EkNcqVdM8y1X+QT5qHitfPH0jpvWVNIYoCzGDzWrwhlqK+b3t5enJychJKPlxdTXhcYhaEeDtR3a/FQKegeMogyMV/ntlDfreXi8UE8+E0pF48PYkaM7WI5OGwUM7+O/mHkUgmejkpkRi0DfT34+/uB3I6BYSMd/XqMI9P5IR4OxPs5kxHiSpCbvXi/aA0mfi7r5MeSTpzsZKQFuVLRMUC7ZpjlGQHMiPbEArywrZpPRsnoAFw3NVRUpx6NNy9I5ozYv7bIm0wmG6FNo9GIp6enWEKzuh02NTVRUVFBamoqnp5jM8Z/Gk5mgLOmpgaTyTSmYX/LLbfg6+vLc88995fPY+fOnTYulFZcdtllfPzxx+IQ5XvvvUdvby9Tp07lrbfeIiYm5i8f24rTKrhotdox2cafxfbt28nKysLZ2fmkBiP/KHbu3ElCQgK1tbWYTCbS09NxcHDg3g3FbMpv5bMrMrllTQE9QwY2Xj8emVTKCz9V8uaFKShlEjGVtu5srDCZTOw+UsCrB3vx83QjwtuZO0e84zfmtbK7qpsnzollf00Pa7Nb+NfCWCraBS8WEBrwa7Jb8FbJmOALtb1GFsU60aa3o6LHzEXjg5kRc1TupXNgmK9zWzlU10uivzMJ/s7srOhiS2G7zft1tpMzLcoDN5UCpUyK3mSmd8iA1mCGY4T7JRIJno4KXB0UopR9S5/OZscMMC7ElYfPjqVNo2NLQRs9fRomeQ5z7ox0XF1dMZrNfHm4hf013dw1N5IvDjfjqJRR2jbAnupuXluexK3rivBzseP7myZw67oi7p4bRVOPlkN1vdxzZhQWi4Xb1xdT1TnImxcki8OaVhhMZlatLaK5Vyc29K3Bwtpf6OzsRK1Wc9Puo39395wIXvhZKOG9uzKFaSMDl6t/rcVgsnDdtFBe/6WGPp2RVbPC8XM5Pr3dZDaTU1JFRX0zEVGxODo54aCQ4WQnw8tJeVwvmX6dkV1VanaUd6E1mJgc4YFCJsgBeTsruSgrkGgfQRbmrV/reGvE0MyK66eFsjGvjfZ+24w0xMOBzdePP+UUY6uHvTXQaDQanJycUCqV9Pb2kpaWhoeHxyk95umC4w1wVlZWolAoxJK/Nau58sorSUlJ4eGHH/4fn/WpwWkVXEwmk8jI+KvYuXMnycnJNDc3n9Rg5B/Fr7/+itlsxs3NjeTkZLHEZrFYmPribswWC/ecGc2jW8oYNpr59Y6p1HQNsi67mWcWxyGTSmwyFhCEO/Py8pBIJIREJ/DYDzUoZBIkSHhqcRxOdgLrZ/Wvtdx7ZjSOdjIe+66cC8cFkhrowsK3DonWtzE+jlR0DDIzyh03hYnG7kHGe+rpNNhT0S/j7ERflmeF4KA8et6lbQP8XNZJYbOGIHcH0oJckUhgZ4WaH0o6xl6EPwipBG6dFcFZiT6Udwywq1JNS6+OCWFuRMi6sbfoSE9Px97env01Pby/t54FSb7E+Drx6i81nJ8ZwB0j+laPL4zlkW/LifZxZP0147hnYwnLMwIIcnPg8e+FgUl7hYwNea1syG1lQpgbt8yKGHNOh+p6yG3s47WRrAWOBpfRMJvNZDyzC/2Irtq18WbeK5VyRqQzv1T3k//gDDEQfHWkmYN1PTx0Vgyd/Xre3VOHo1LOomRfxoW6iYw6i8VCWVkZnZ2dv5mt9+uMFLVoOFLfS3FrP/YKGVMjPXB1ULC3ppvWPh2zY72Zn+iNi70CvcnM0z9UigOrVlw4LoDGbi17a3rGHOOzy9PJCHE7iU/xr0Ov11NWVkZHRwdSqRSZTGZDCviz5erTHWazmfb2drH06eJy1KZDKpWycuVK5s6dK3rd/9NxWgUXs9mMwXAiOuYfw6+//opEIkGpVJKeni6m4acCHR0d5OTk4OfnR2pq6pgSm95oJvmJXzgnxQ8vJyUf7hP0uw7cPZVfyrsoatHw4FkxY9hxeXl5uLu7Ex8fj0wmw2Ay8/y2Kqo7hzCbLTxxThzB7g6oB/U8tbWSeD8nLp4QxLu762ns0XL33Ehqu4a4asRj3joVDnDphCAMRhNN6n6mB0B9p4bsLhkxPiqWpAUyLsrPpg7c2KMlu6GX3MY+2jTDONnJCfNUEebpgJuDgkG9ic5+PZ0Dw7SPWPDaK2Q4KGQ428uJ8XEk0tsRuVSCRmekvnuI8vZB2jQ6VEoZ40PdmR7tgbdKJgbUlNRUDtb389mhJhL9nVmW7s/H+xvRm8wk+jvz+PcVnJ3og0YnlJaWpvnx6IJYHthUypkJ3owPc+f2dUU8tTieAFd7mnq03L6+GJVSxrsrU0SbgdF4cVsVZyf5ct77RwAI91Tx3U3H16R7c2etmAX4OSs5I9yBLwr6cFda0FskfHV+CN7e3jg7O1PaNsAr26uZFuXJ8swAOvv1fF/cTl5jH0q5lDAPB2TabhSmYVISYrBTKjGYLfRpjfQOGWju1dLUq0NnMOFkJyfe35l4PyeG9CZ2VwlBOSPEjfkJPoR7CdlYr9bArWuLOFzfa3Pe56X7Y6+QieoDo7FiXCAPnRX9t+mCHQ81NTU0NDSIAbW3t1dkoA0NDeHu7i4y+Y4n7/RPRUdHB0VFRSQnJ+Pp6WkzwKnVaklKSuLCCy/krbfe+l+f6inB/8ng0tvby8GDB3F3d2fcuHGnbMJ2tPaYnZ0d0dHRJ+Tidw/qmfT8Lv61MI5DdT18XySUmXIfmM6m/DaKWvp5dEEMcqlUZAiFhYUdV31gQ14ra0YGF2+fHcnEcHcsFgub8tv4oaSDB+fHoDeZeennaiaGu3NBZgDv7q4X6+nL0vxFP5R5Cd4EuztQ1KJhQqADblIde2p6aB6AtAAVC1L8SQn3H1OaHBg2Uqceok4taHy19OnQ6IwjqT5YT3n03aSQSfF2VhLq4UCIh4oYH0f8XI4KMw4NDZGTk4NB4Ui1wZ19tb1MCHNjYbIvG/PaKGzRcH5mALesKQIEr/bb1gmZy2vLk5gY7s7935SyLM2fCWFu3L6+mNvOiCDB35nBYSM3rylkYNjEE4viiPMbmxWYLRau/iyfJal+3LepFBAEPFdmHZ+lNTBsZPxzR2tjm67LYsm7h1mY5M23RZ1k+Cq4MlqPXC4X+zSH20xsLuwgxMOB2bFepAW7YjaZ2HYgn+Y+PR7+wWiNwvWTSyW42CtwUykIcLVHLpVQ2TlAYXM/lR0D2CtkZIW6MS3KkxCPo/T2vdXdXPN5/pjzXZ4RgLtKwXvH6avIJBJ23znlb1MxPh4sFgvV1dU0NTWRmZmJs/NYyvfQ0JBYiuzp6cHBwUEkBbi5uf1j1YKt3/GkpKQxRCWdTseKFStobm5m/fr1xMXF/Y/O8tTi/1xwsQ5GKpVKoqKiTtmEr1WRtquri4yMDMrLywkICPhNumhZWz+L3z7I+xelsKWgjc2FQmkp+/7p7KpUs7W4gxszHGmqryUxMfE3uf0FzRqe2lqBQiYlOcCZW8+IwF4ho7lXy5NbK5kZ48nyjAA2F7SxpaBdrPPfvr5InOqeEe3JnqpuTBYLyQHOLE71Y291Dx4qORODVQxoNOyq7qZ1wISvs5LJER6ckRREoOeJXTb/DExmCwcrW/j2UAUNOjuCvd2Yn+hLgKs9a7KbaenVsTjVj4/2N1LQrGFpmh8Gk4VvR/pA21ZNxGCy8Nh35dx2RgThXiru+rpEVPE1mS3c+XUxRrOFqZEeXDju+PfA4boeDtX38smBRpHZtv/uqbieQAIfEOdCnO3kRPs4cuecSC76KIdHzo7h8e8riPZ25IPlEahHFki9Xo+npydahSsFagtFrQN0dfeikEoID/DC2V6BRCLBaDLTP2yiV2vAZLYglYCvix2J/s4kBbgQ6a2ykYlp1wzz8JYykRLuqJQxqBfeww3Tw5BKYPWvdcd9D//NEpgV1l5Da2srmZmZJ0XYOZ775mhSgFL55/Xu/pvo6uqioKDguN9xvV7PxRdfTGtrKz///PMYJY9/Mk6r4PJX3CitMjHNzc2kpqZSV1eHj48PISF/XbHV2gsxmUxkZGRgb29PdnY23t7ev/n6ZrOZXys6uf7LQl5fnsju6m6R8rn3zsn8eKiEDcW9vHx+CkE+v8+U6RrQ8/CWMkEaRGfktjMiSB1hdH1+qIndVd3cOD2MME8Vb/5ai3pQzzVTQvF2UvKv78rZUSEMXU4Ic2PYaBaDzpJUPyK9VBxp6MPJTsbkUGdc0JLfoKagTYvOIsfB3o5YP1cSg9zxd7XHx9kOXxflGIn+0dCbzHT2CzMtjT1aytsGqO/WohsextXSz8z4ABIjg9lTpWZfTQ9B7vZMifTgqRFNtJRAF+YleIuOibfMDOe6aaF8X9TB5oI2HlsYi9kCD20u5Y7ZkSQHumC2WHhqayUtfTq8nJQ8vjD2hCWfB74p5cbpYZz5xgEygl3Jaew7br9lNG76qkC8jiDMgbRpdDz2XQXPL03gvk0lmC2CJH+Ut4qBgQFxJ97X14dUKsXe3p7o2HgsShUDwyYsWLMWOa4OihOqHDT36njx5yp+LDnK6nOyk4mB8ZGzY6jv1o5hhVnxyNkxJwy0fyesQ8udnZ1kZmb+qVKXxWJBo9GI5bP+/n5cXFzErOb3bIX/V7BK2SQkJIjDi1YYDAYuu+wyamtr2b59+z+Chv1H8H8iuBgMBvLy8hgeHiY9PR1HR0dyc3Nxd3f/y17UVi8Ja+Pe2pewqjMfTwbcygqxTvHmNPZx6Sd5PLM4nsIWjThX8tJ0e3zDonlzdxPPLYnH2/n3+0Ims4UvDjfxY0knUgmkjcxYKOVSeob0rP61jj6twFCSSSX8e28D3UNCkPF3tePVX2pZl3O00Xt2og9biztEvtd56f6Ee6koaxugZ8iAh0pOlKsEd4mWnt5eNCYFeoUjWpT06TmhcZjFAnKZBB9nO/xc7Ah0cyDax5Hmllb2ljSgUXjQpRMYSuNC3Mhu6BM1yxYlC1mMtayX6O/MOytTMJktPPtjFRFeKq6bFsqR+l7e39vA4wtjCXJ3wGS28Pj35fRpjUglEp5fFn9cUUgQhhCf/qGSxSl+3LSmkGB3e3qHjBy8d9pvXv/uQT1TXxIUkmdGe7KzUs2vt09mTXYLb+2q4+opIbjay0Xpmv9clk5miCtarZbs7Gzs7e1RKBR0d3ejUCjExdHDw2NMyWdw2Mi3Re28vqOWniEho5dLJUT5OFI2ItszN86bJal+bMxvHSOHb8XKrEAemB/9mxYKfxcsFgulpaV0d3eTmZl5yhwWh4eHxUCjVqvFUqSVFHAyGoF/N7q7u8nLyzuulI3RaOSqq66ipKSEHTt2nJaDo38V//jgMnowMjU1VWSaFBQU4Ojo+JdURdvb2ykoKDiuUsCJXn/0/AogMsJKWvs57/0j3DkrhMLqJn5qEOZDvrtxAhIJPPZduTh4dzJo7NHy7I+Voiz7rWdEkD6iAlDTNcjrO2oJdLPnummhDAyb+PfeBtSDes7PDGBciBu/Vqq5dV2R+HoeKgUzYjzZXtYlikm62MtZlOJLqIcK9YCeOvUQmiEdw8PD2Fn0qOTg7aoiwNMVDzdnZFKZ6D/SrzOi0Rro0xlp1whzMkNDg7hKdExJCEUvUfJdUTsFIyrNno5KVs0K56P9DdSpBeWABH8nXj0vCS8nJR8faCSvsY8750QS6qHi7V11dA7oefCsaBwUAvnhkS3lKOUSOvv1vLI88Tezqud/qmJuvDcXfZQjPvbEoljOTf99qvpoyRQ/FztUShlrrspkd3U3d6wvJtjdgUfOjuFIfa/NHMmZkSoWZUYQ6e2Ig1xCv6aPzq4umjq6ae030mZwoKjbQpXaliKcHOCMSikTZWKC3e25c04kOoOZx7+vYEh/fB29hcm+PL047oQB9u+G2WympKSEvr4+MjMzT5lPyPGO09PTI2aIw8PDNqSA/4VlsFXV+XjimyaTieuvv57s7Gx27NjxX9dQ+2/hHx1crIORISEhREfbMl6Ki4uRy+V/SlnUYrFQW1tLdXU1ycnJY9JZgKKiIpRKpc3Q0WjdoWPnVwByq1u46PNyViS74Ozqxr/3NmKyWFhzVSa+Lnbct6mU286IICXw5HocFouFr3NbWZfTgpOdHHeVgptnhosB6kBtDx/vbyDcU8XFE4JRyCRsyBNmWiaGu7M0zQ+LBdZkt/D2MbMQs2O9cLKT81NpJ1qD7eKVFOBMmIcDPiopMpMO7eAAFqMeFydHHJyccXJyQmVvx+CwiTaNjs4BPYeqO2gZsB24PDvRh9QgV7443GQjZnnt1FAunxiMQi5hXXYLv1aqxSHQ/CYNr++s5cJxAZwZf1RG/8FvynB1UDAwbOS5pQk22lvHorN/mH99V86T58Qx5cW9zE/w4YeSDvIenPGbE+lWVLQPsOTdw4CQ6X1X1E6Amz3vrEjFbLHw6LflHKjtwdtJyfJUL5SaFrR2HuxoGKai48TimB4OMvwcLLjKjUjlSva3GhkRPiDR35lrpobgqJSzNruFbWVCacxeLkV3jOT+giQfnlocf1Lv5e+C2WymqKiIgYEBMjMzTylb87dgsVgYGhoS+zS9vb2oVCoboc2/mxTQ29tLTk7OcSV8TCYTq1atYvfu3ezcufM3e7b/dJxWwQWEdPf3MHrxT0pKOm7kLysrw2w2k5Aw1hXyt2A1Devu7iYjI8OGiz4apaUCuyg+Pl48J+uw1PECS1NTE+Xl5bgHRnLx2louHh+ExwiTR2c08/r5SWSFuvGv78pJD3LlkglBJ11DbtcM8+LP1fRpDRhMZiK9Hblhepio/FvQrOHTg01IJHDJ+CASA5zZX9PDxrxWzBY4I1aQIzGPWO8++2PVGIVeD5WC6dGemMwWdAYz1V2D1HQNndT5hbpIiXCVEh3sx4DBwrbSTjoHbDcRy9L8uWh8IHG+TtR0DbEup4WariHOy/Bndqw3bRodb+6sw9FOxs0zwkWWkyCzU4uHoxJnexkPnhXzu4vqA9+UcsmEIB7aXEZp24Ao1vh7/ZbROPP1/QzqTfQMGbh/XjT/OdhIv87IffOiWJTsR1XnIB/trmZzyVENNlcHOYFu9vi72GOvkKI1CD2ppl6dWPayItBFwcwgOQGKQQwSBfm9SnbUCQH4WMM3K66eHMJtsyP+J+Wv0TCbzRQUFKDVasnMzPyfNt4NBgNqtVosoVksFrF85uXldUoGtkejr6+PnJwcoqKixvjQmM1m7rjjDrZt28aOHTv+csn+dMdpF1x+z43SZDJRVFRET08P6enpJxyMrKysRKfTkZycfNLHHh4eJidHKJNkZGT85m6rvLwco9FIYmKijXjdsYHFypJpaWkhJSUFDw8POgeGmfHyPhYk+TIpwp3nf6pCozOyMiuQB+dH89mhZnIae3n07Ng/RBUtbNbw7p56BnRG9CYz06I8uWh8IC72wms092r59GATteohZsd6c2aCNxaLhV8r1eyq7GbYaGJiuDvToz0JcXegqVdHQbOG74s62FFx/Hr+n8WZ8d7MS/BmXKgb3k521HcP8XNpJwfreglws+f8jAAS/J2pUw/x4b4GhvQmrpsWauNc+davdVR1DmIwmTkj1osV4wJ/NyBnN/SytbiDm2eEM/nFPWIj/9kl8ZyTMjZDPRGGjSbSn94lBqa75kRS0trP9vIuon0cWRjjhJeumYyURIaVLpS09tPQraWlb5h2jY5hoxmlXIqPsx2BbvYEuNoT4u5AoLs9HRo9Rxp6+Tq3VVQN8HSQohk2YxirtsOzS+JZlOx7WjS0TSYTBQUF6PV6MjIyTvni/VdgsVhEoc2uri4GBgZwdXUV+16Ojo5/6RpqNBqys7OJjIwcQ/Qxm83cd999bN68mR07dvwtJmCnG/5RwUWn05GTk4NUKv3dwciamho0Gs1JS0hbvbrd3d1JSkr63YZgVVUVQ0NDJCUliY37YyfujUYjhYWFDA0NkZ6ebsOS6dUamPzCHmJ8HHlsYSwPbSkTDbwO3jONhm4tL/5cxc0zw8n8g7TR/TXd4oKslEuJ9Hbk4vFBYrlMazCxs0LNjyNT9/MSvJkZ44VUAgdqethd3U1jjxYHhYykAGfSglyJ8XXExV7B4LCRpl4djT1a1IN61AN62jTD1KmH6NEasJfLcFBIsZeBvaGPUC9nArxccTANohjuxUFqwcPTE53SlRadnNymfto1wwS52zMn1pusMDcsFthVpWZTfhvuKgWXjA8S1YQtFgs7KtR8erARXxc72jXD3Htm9HHnWI5Fv87ILWsKee38JBa+dQj1oF60RC56eOYf3vHXqYc4e/VBrpkSwvt7G/BzseOB+dF8sKuKojYtCrmU9GA3oYzoqRKNwORSCYYR6nH3oHD9ilo0ZDf0if0ugCkR7hS29Ns8ZoWvSsL1cUYifF3x9vb+wyrEfwdMJpPIqkxPTz+tAsvxoNPpxD5Nd3c3SqXSRmjzj5ACrMSfsLCwMRmJ2Wzm4YcfZs2aNezcufOU6nedzvjHBBdrg8zHx4eEhITfrZvW19fT1dVFZmbm7x7TKvF/MhbKVtTU1NDX1yf6Wx8bWLRaLXl5eSiVSlJSUo77RdMaTMx8eR/9w0Y2XJs14mMiZAifXZ5OjK8TT26tINxTxTVTQ//Q4mexWNhe3iUOXxrNFlwdFFw4LpAJYW7iufZqDWwr7WRnhRqJRFAtnhThTqyvEzqDmaIWDXlNGqo6B+kfWeTcR4b83FQK3BwUuKsUONkJX0SpRGhUF5dX4eLpg8rVkz6dkdY+Hc29Ovq1wxgNejzkBvyUBjJCXIkL8cXR1YOCNi2/lHfR3j/M1EgPFqX44TYycyK4V/bxwd56nOzk9GkNZIS4cdXkkJPSwrJYLNyzsYSLsoKQSGDFhzlMjnCnpmuIzBBXXliWeNLXdjTK2gZY9t5h5iV40zWgJ7uhD18HuGtOJB06oWxX2jZwXGVpK9wcFCQFOOPjbEdV56BIcjgenl4cx+IUPyQSyZjF0c7OTgw0/+2BQ6PRKPq7pKWl/eMkXEwmEz09PWKvRq/X4+HhIfZqfouMMDAwwJEjRwgNDR3DHrVYLDzxxBN89NFH7Nix4w+X6f/JOO2Ci8FgECWrrWhqaqK0tJSYmBhCQkJOavFvamqipaWF8ePHn/A5FouFmpoaampqSElJOWmDIovFQnNzM6Wlpfj4+ODj42NDf+zr6yMvLw9vb2/i4uJ+90v+8s/VfLCvgeeXJlCnHuLf+xoYNpq5dEIQ954ZxYa8VnZUqHlgfjQBrn+McWOxWCho1vDlkWaaenSYzBbsFVIyQtw4O9GHSO+jEt86g4mcxj4O1PRQ1j6Ao52MWB8n4vyEH98RqnTPkIHWvmF6tYIysiCvbwQLaPo1tHd0EejnQ4C3O872clzs5QS42hPgZo/DiASLelDPkZpODlZ1UNbej8VoJMlHyaxYb5IjAsS5BaPZzM4KNetyWlApZeiNFpztZdwyM5xAt5NnAf17bz1SqYQV4wLJeGYXgCjVn33/dPG8/gysWSjAknAJvTJXdlb1ir+P8XEk3s8ZpVwwVBvSm+gc0NPeP0xDt/YEr3oUd82J5OIJQb/ZSzKZTKJHzeiBQ+vi+HdmEQaDgdzcXGQyGWlpaacFDfivwGKxMDg4KF7Lvr4+UR37WPfNgYEBsrOzCQ4OJiIiYszrPP/887z11lv88ssvf6hE/38Bp3VwMZvNlJeX09LSQlpa2h+S5G5ra6O2tpZJkyYd9/cmk4nCwkJ6e3tPKEVxPFgb9yaTif7+frq6uujo6ECn0+Hp6YmdnR0tLS1ER0cTHBx80mWKvMY+Vn6Uw9RID1ZmBfLMj5U09uiQSyX8esdkeoYMvPRzDSmBzlwx6eR268eia0DP+twWDtb2oJBJMY5Mgo8Pc+fMeG9CPRxszndQb6SyfZCy9gFK2wZo1+iQSiQo5VL8XIT5FQ9HwQjMQSGlt6udjvZ2wiIiUTk6YzCZ0eiMqAcNdA8Ki2n3oB6JRIK76v9r77zDmjr7//8OO+y9RJbIkj1ctVatVVAEHLW2tWr1sdaq/Vq1rV3aX1s7bJ+qtVVrh/i0dYLrcSuoOGgrELZsQVlJ2BAg8/79Qc95CERFDCSB87ourtYMciecnPe5P+P90YW/oykChpnC084IRCqhr8Jra2tRK9ZFbgsbZa2AtQkbQokMxvo6WDreGV52jzeO4Wh6FUr4Arw7zQMR3/+J+w0d+NdTzohLuY9ZAXbYEu3z2J9lV6jKqL/KmrAto3N3p6ethZfCh8HUQAf3GtpRwhegViCCWNo5DtpAVwsSKYFIKgOvWSQ34dLXwRjr/rH56Utynmo45PP54PP5EAgEMDc3p4VGmQOpxGIx0tLSoK+vj4CAAI0XFkV0nb5ZW1tLT980MTHB3bt34eTkBA8PD7nnEEKwfft2/Pvf/8bly5cREhKiotWrDrUVF5FIhMzMTAiFQoSEhDx2Vy+fz0dBQQEmTJjQ476Ojg56C/84ppYPStxTluIFBQVoaOh0nLWwsICtrS1sbGx6XWff0iHBmK2d3lWHloXi35dLaBPCjyI9sSDMERfu8HE4tRJLxzvTNu+Pi1RGwLnfhAt3eCjmCSCSyKClxQJbt9PmfaybBca4WsDOVPHn0iGW0tMkG9pEEAglKKuoRn1TK2ztHWBs2OmLpaOtBTO2DqwM9WBppAdbEz1YGOoqFFyRRIaMiibcLKlHTlUzdCGDSCREU5sQw42BWT4W8HNzeGzX3P9m1+Cvu434ZJYXtiWW4pdb9xAy3AwLxzhhXXyunJtxnz5LqRSZmZl0AltPTw8CkQS//1WBuD/vo6n94S7fzpZsRPjaIsLXFp52Rv1S6dV1iFd9fT3YbDYdPnuS0lyRSIS0tDQYGhrC399fY32/Hgdq+mZ1dTWqqqpACIGFhQWsra1haWlJ77h/+OEHfPHFF7hw4cJDoyeDGbUUFyq5bmxsjICAgD7Fb+vr65GdnY1nnnlG7naqVNDa2hqjRo3q1Reie8d99/yKVCpFXl4ePZtCV1cXPB6PNt8zNjamw2ePqkghhOD9k/k4mVWDXQv8UdnYgd3JZaj/p1T1zBtjYGuqhx+Ty1HR2IH1U90fKzzUHRkhyKxoxsU8Hkpq2+ihYFIZgaGeNgz1tDHS1ghedsbwsjPGMHMDuROgRCJBVlYW7Y7Qm0Y5kUSG+w3tKOILkFPZjNLaNtoCRUY6Z6xYG+shwtcWY93M0S5opT/PtrY2OhbedVKkos9x741y8FpEeC/CAycza/DRfwvgZmWIr+f4Yt5Pqfjp5UA8NaLvc0SocJCWlpbG5BkkEgldmsvnd/bKUOEzKyurXofPhEIh0tLSYGxsDD8/vyEhLBTt7e1ITU2FnZ0dnJyc6HDkH3/8gZMnT8LJyQm5ubk4c+YMJk2apOrlqgy1E5fKykpkZGTAxcUFHh4efa5+aWpqQlpaGqZMmULfVl1djZycHHh4eMDV1bVXv7urLTbQU1iEQiEyMzsdaQMDA3vsgsRiMR2eqK2thb6+Pi00XWO33UkuqsPrB7NgaaiLX18Jwu7rZbSn1EQPS3w7zw/cZiH+nVgCbztjLBrrRJccPwn1gs6k9O3yRpTVdVaviaUyyAjofA0V+9fTBkhbIwz1tOHi5AAjfT0Y6HaOPBZLCSQyGTrEMtS3iVAvEMt1kssIgRaLBa1/8iosAL4OJnhqhCUChpk+cDdBNcjxeDw6Fk7tEKmrRqFEis/OFcHDxgiLxjjhRGYNPjiVD1crNj6e6YUl/8lAuIs59i8O7vPnRFUuUlftmhgOokpzqWNTIBD0yu6+o6MDqampMDc3x6hRo9SiBHqgoITF1ta2x0TbpqYmbNy4EQcOHIC5uTk6Ojrw3HPPYeHChZgzZ44KV60a1E5cCgoKoK+v/8SWCK2trUhJScFzzz0HQgiKi4tRXl6OgICAXvv4dG2M7D4HG/jfDBZzc3P4+vo+8gTTNenK5/PBYrFgY2MDW1tbhd5SQokUqw9l42ZpA9ZMcsNIWyPsuFJKlyxvifZGbKA9rhfX44/bFfCyM8biscPp5kllIJLIcLeuDcV8AYp5Atyta4NIIoNEKkVtQxO0tHVgYWoMGekUDKDTap8QQneX62izQAig+89/dbRZcLE0hKuVIXzsjTHS1qhPoSmRSCQ3KVJXVxfN2uY4lN+BpU+5YrKXDb67Uoo918vhaGaAd6d5IIFTheTiemR/OOmBBpGPQiAQID09HZaWlvDx8Rk0V+3t7e30sdnQ0EB3tlPhMxaLRZ9crays4OPjM6SEhRJVKysreHt79+hnO3DgANatW4eTJ09i8uTJyMzMxOnTp2Fqaoo333xThStXDWonLhKJhA4/PQnt7e24du0apk6diuzsbDQ3NyMkJOSxE/cP6rin5jO4uLjA3d39sb9kMpkMjY2N9FW4WCyGtbU1XXnWNTxRwhdg1u6/AXSWKJ/P4+NUVg3d//DTy4EY726B1PJG7P+rAo5mBlg6fvgDR+s+KQ0NDcjIyIDjMCdYOjijuUMCoUQGkUSGDokMUlln0ppKXBvp68DaSE/p43O70iESY+flQhRxmxEzXAhdFsHeAl3k1YrhZWuEtc+OwPXiOhy4XYlbb0+gS5wfl5aWFqSnp8PBwaGH5dBgggqfUbsaADA3N0dDQwPs7OyGrLBQFxTdheXo0aNYvXo14uPjERERocKVqg9qJy7KGnUsEomQlJQEExMT6OjoIDg4uNc2FA8TFkII7t27h5KSEoU22n2BEIKWlhY6ryAQCGBpaUmHe/T19UEIwa+37uHfiaUIczbDO9M8EJdyH2dz/zd++Lv5fnjWyxrZVS2IS7kPEwNtLAgbBh/73glqb+ByucjJyYGXl5da+CJRDgP7/7yP50McETnKFqW1Asza3en9NdyYhTmuEqQ3GuB6hRiXV4XB0apvnwclqm5uboPeuqMrhBBUV1fjzp070NbWhkQigaWlJd1wqApjyIFEKBTSYUBfX98eonrixAksX74chw4dwqxZs1S0SvVj0IpLfX09/v77bzg4OPS6koVK3D/IykUmk9Ezz4OCgh5oPfOktLW10ULT1NQEU1NTWmik2nqY/eNtVDcJsWiME6L87fDrrfu4nM+H5J841FezfTDTzw4l/DYkcDrLcCeOtEaUvy0sDPseMisvL6fNPG1sbJT1dvsEIQQ3S+rxn78qEOhkilfHOUNHm4WtF4tx4HYlnMwNMMLGCJtneuK13zNQXNuOHVMMwepoUZineRTUTlWRGeFgh+o+d3JywogRI+TCZ42NjTAyMqLDZ6ampoNqRyMSiZCamgpTU1OF+aXTp0/j1VdfxW+//TYk8yoPY1CKS1VVFXJzcyGVSvH000/3qq7/UYl7sVhMeyYFBQUN2NWaUCikv8h1dXUwNDSEra0tWrSM8fLvneaZL4UPwyx/O+xLuY/rxXVo/8eA6l9POWPFBBfo6mghuagOp7O50NZiIdrfDuNHWPY6z0EIQWFhIWpqavpVVHtDm0iKszlcnMvlIcTZDAtHO8HUQAf/zebSo4pH2Bhi5ig7RPnbYdrOP6GjxcLf7z4NA11thXka6sRoYWGh8CKkqqoKd+7cgZ+fX68bbQcLVOWmou5z4H/GkFT4TEtLi97RqMtclb5ClVpTFXHdheXChQtYuHAhfv31V7zwwgsqWqX6onbi8iSjjimTyHv37iEwMBAZGRkYO3bsI/Ms3Wew9BjaJBAgIyODrgxSVcmpRCLfaKitrQ2RgSXWXayFREbwfIgjYgLscDS9GteK6mjnXAMdLex8wR/j3C1QJxDhv1lc/F3WACN9HUwYYYmnPaxgbax4R0MZhba2tvbwRxsoJDIZUsubcDqbizqBCBG+togcZQtdbRauFdXhjUPZAAAfe2M4mbOx4bkRuHiHj39fLsGCMEd8FOmp8GpaKpXSY3T5fD5kMhl9YrS2toaOjg69WwsMDHysJt7BQGNjIzgcDtzd3eHi4vLIx1N5ROoY7ejooKvPHlY2ro5QzaGGhoYKS62TkpKwYMEC7N69GwsXLhxUuzVlMWjEheq3aG1tRUhICIyNjZGUlISQkBCYm5s/8HmPStzX19cjKysLjo6OapXAlclk9ImRx+OhulWGrzIAoRR4ztsab052x/XiOpzL5SG7qoV+3lRva7z9nAeGW7DR2CbGjZJ6XC+uQ0ObGP7DTBE63Ax+w0xgaqALkUiEjIwMAEBQUNCAWqfzW4X4u6wRN0vqUdsqQqizGWb42WG4BRvtYil+/6sC25I6pz3am+rDxZKNhWOcMMyMjTl7O/MtJ1aE04aXj6JrVzuPx0NbWxsMDAwgFAoREBCg8jDgQEN5+VFOE32BslChwruUhYq6h88oYWGz2QpD6tevX8e8efOwfft2LF26VG3fh6oZFOLS3t6O9PR06Orqyp0Er127Bj8/vwdecRJC6BBc9zAY0Nlzk5+frzbJ6wfRtV8hp4yLnRki1LR3vpcvoj1hZ2aI4/8MCeO2/M9AcZSDCd561h3hLubQYrFok8qcqmY0CkSQtTfD28YAk4NHwtXaGFZGirvrn5Q2kRQlfAFyq1uQU9UCXosQlka6GONqgfHulrAz1YdURpBSWo/3T+Wj9p9ZMM6WbDhbsDE32AHe9sZ4+dd01LeJsWKCC1ZPcutzqTEhBDk5OeDz+TAyMkJLS2eehiobV9d57cqCmvuuzPwSZaFChSO1tLToHY2lpaXahM/EYjHS09Ohp6eHwMDAHsKSkpKC2bNn46uvvsLrr78+qI+DJ0XtxOVxp1FSV1hUeWTXg+HGjRvw9PTs0dfyqMQ9FV6rrKxEYGAgLC373sU90FCme1U1PBxNr8If+Z1CHWBvgPemj8T9ZimuFtYiu6oZ9xs65J77r/HOiPK3g7WeBNlZmTAwt0GbgQ2K+G0or29DvaDzdxnqaXf6ihnqwtyw09LFwlAX+jpa0NVmQVuLRZ/Y20UydIilaBdL0SqUgt8qRG2rCPzWTrt+AoCtqw03a0P4OZhg1D/uwECnF1pSQS2+ulhMT8PU19GCu7UhRjmYYG6wA3S1tbB4PwcCkRQzRtni02jvJzKhpHzCWlpaEBISAjab3ac8jaZCFS4omvuuLBSNJe6tA3F/IpFIkJ6eDh0dHQQFBfX4u96+fRsxMTH45JNPsGbNGkZYHoFGi0tlZSXy8vLg5eXVYzgP0HmV4erqKvcleVTiXiKRICcnBwKBAEFBQUo1+VMFHR0dyC6twhdJFciv7zxBhw9j442JruggOkgqrENWZROKeW1y5olAp/3+3GAHBDmZYZiFAd2ZLxBJUNPVFbmt878dEhkk0s4+F6pyja2rDQNdLbB1tWFsoAMbYz1Y//NjZaRHW8kIJVIU8QS4XlyPg6mV9O4E6BQzZ0s23KwM8ayXNca4WeBEZg3+fbkEALAgzBFvTRkBE4Mny4Up8glT9JhH5Wk0FR6Ph+zs7AEtXHiQAzEl3iYmJgNyEpdKpfSsKEXOzhwOB1FRUfjggw+wfv16Rlh6gUaKC1W9VFFRgcDAQFhbWyt83O3bt+Hg4EBv7R+VuKcMLXV1dREYGKj2w44eF5FIhOt59/HDzSrk13WGA63Y2tgwxRk+Tla4kXcftwpr0MwyRGWzpMfoXYph5gbwczTBSBsjjLAxgq2JPiwMdWGgqwVdba1/TCs7rV2EYhnaxVIIJbJOq/kWIUpq25DPbUXavUZUN/Wcc6KjxcJwCzaGmRtghLUhnvawgpe9MS7n8/H/zhTSj/t23ig8523T5/BXV/riE6YoT9Mb3zN1pKamBrm5ufD39++1g0V/0H2XqKOjQwt3f4XPpFIpOBwOACA4OLjHa2RnZ2PGjBlYv3493nvvPUZYeonaiQvQWX77ICQSCTIzM9HW1oaQkJCH7izS09NhZWUFFxcXescilUoVJu4fdwaLpiOVSnGnvAb7Uu7jXMn/ZorYG+tg6VOuCHe1ALdZiNJaAUpr28BtEaLyn1nvDxKdvmBvqg9DPW04mhnA0kgXnrbG8HUwgYeNEfJrWvD73xVILv7fHPp3p3lgbrADjPWVt0NQlk8Y5XtG9X9oSp6mqqoK+fn5CAgIeOCFmiqgwmfUZyoSieRm1PTWzfxhUNMzZTIZQkJCevzt8/LyMGPGDKxcuRIff/yx2v4N1RGNEpe2tjakp6dDX1+fdh9+GBkZGTA1NYWbm9tDK8JqamqQl5dHz74eSgeQTCZDbm4uauvq0KpjhguFTUiqkD8khpkbYIqXNZ7xsIKNiR7EUoLaVhFqBSLwW4SoFYjQLpJBKJGiQyyjPcYotLVY0NPWghlbF+ZsHZgb6sHKSBfDzA1gY6IPkUSGYr4AF/J4OJPDk3vuU+4WeG2CC4KdzaDTD4LfXz5hmpKnqaioQGFhodqXWlNjLajPtLm5GaampnRIsi/iTYVBJRIJQkJCeuxWCwsLERkZiSVLluDzzz8fUucFZaCW4qJo1HF9fT04HA4cHR3h5eXVqy9nTk4O9PT04O7u/sDE/d27d1FWVqYWXecDDdUYKhaL6bk2lBUNn89HaQUXRbVtuNvORmYtQUWz4h0LW1cLThZsmOjrwIytAxMDHRjr60AsJWgXS9Em6vzhNgtRVtdpr6+IkOFmiPK3w2hXc7haGfbLbJOuNDc3g8Ph9LtPmLrmae7fv4/i4mIEBQXBwsJCJWvoK0KhkB7e1VW8qfDZo84PMpkMmZmZEIvFCoWlpKQEkZGRmD9/Pr755hu1uRjQJDRCXKgxx97e3r2uuSeE4M6dO2hpacHIkSNhYmIid4B0n8HSW0PLwQKVX6ImCD7oBNfd4t7U1LQzn2BqiTaZDrgtQhTzBLjf2I7WDimaO8Ro7pCgpUMCXW0tGOppw0hPG2w9bdiZ6MPVyhDDLQxgZaQHezN9pYwJ6Auq8glTNCWy62C5gcrTlJWV4e7duwgODn5oH5gmIJVK5cJnEolELnzWvTBDJpPRM4hCQkJ6REDKysoQGRmJWbNm4bvvvmOEpY+otbj0dcwxlbhvbW1FaWkp6urqoKenR89RYbPZyMzMBCEEQUFBSondahKtra10PupxQkEikYj2PKMmGlInRXVuiusOj8ejzTeHDRum0rWoIk9TWlqKe/fuISQkBKampkr//aqECp9Rn2lLSwt9QUSZbObk5KC9vR2hoaE9hKWyshLTpk3DtGnTsHv3bkZYngC1FBexWEwP4aIOgt7ajihK3FNhCS6XCx6PB6lUCjabDS8vL1hZWQ2pA6i+vh6ZmZlwdnbu06gACsqSncfj0VY0lNCoU06hO+rsE9bfeRpCCEpKSlBRUYHQ0NAhsVvv6s1XX19Pz2Xy8fGBjY2N3GdaXV2NiIgITJgwAT///LPaNHZqKmopLo2NjUhNTYWhoSECAgJ6XRL8KCuX2tpaZGVlwcbGBjo6OuDxeCCEyA3sGswHVHV1NfLy8uDj4wNHR0el/V6qqofH44HH40Emk9EnRWtra7X5TCmfsKCgILVvjKVCPdROsWue5nHGEVNQjcHV1dUIDQ2FsXHvbHEGC5TrQkNDAywtLVFfXw+pVEr310ycOBGLFy9GSEgI9u/fr9H9SuqCWorLjRs3YGJiAi8vr15fWVONkQ9K3N+/fx9FRUXw9fWlmyop2xRqR9N1YJemN8R1hRBCx9j7uyqoqxUNj8dDR0cHHf+2sbEZUH+yrmuirtiDg4NV6urcF540T0MIQUFBAfh8/mNFAQYLhBA6vxoWFiZXuBIfH49vv/0Wd+/ehbW1NdavX4/Y2NjHOvf0lS+++ALHjh1Dfn4+2Gw2xo8fj6+++gpeXl70Yzo6OrB+/XocOnQIQqEQ06dPx65du9Ru160ItRSXjo6OXv9hKSsXanpl9457Km/D4/EQGBj4wORl14FdPB4P7e3tsLS0hJ2dHWxsbDS2obLr+3+cSZzKgop/83g8tLS0wNzcnD4pDsTYAqqwo66u7pF9UZrC4+RpqPdfX1+P0NDQQT/YqzvU+29oaEBoaGgPIW5oaEBUVBRsbGwQHR2Nc+fOITExEXPnzsUff/zRr2uLiIjAggULEB4eDolEgvfffx85OTnIy8ujj9OVK1fizJkziIuLg5mZGVavXg0tLS3cvHmzX9emDNRSXHo76rh7x70yZ7BQJ0Uul4vW1lb6StHW1lZjCgCkUimysrLQ3t6O4OBglZ9YOjo6aKFpaGjo9+S1Ip+wwYZYLJab99M1T2Nubo47d+6gqalJ4Yl1sEMIQX5+Purq6hAWFtbj/Tc1NWHWrFmws7PDsWPH6O+1QCBATU0NRowYMaDr5fP5sLW1xbVr1zBx4kQ0NTXBxsYGBw4cwLx58wAA+fn58PHxQUpKCsaOHTug63tcNFZcHpVfaWtrQ0ZGBm2b/SQhrvb2dnpH09TUBDMzM7nKM3VEJBKBw+FAW1tbLa1sKJdcqiBAX1+f3tGYm5s/sdBQTg4SieSxRlxrMt3zNGKxGFpaWhg5ciTs7e3V7hjoT7qGAsPCwnp8T1taWhATEwNTU1OcOnVKLYS3uLgYI0eOpP3dkpKS8Oyzz6KhoUEu4uLi4oK1a9firbfeUt1ie4FGJhUeJSwNDQ3IzMyEg4MDPD0VD4p6HNhsNlxcXODi4kJXn3C5XBQVFdEjc6mrb3VAIBCAw+HA1NRU4aAjdUBXVxcODg5wcHCgq/l4PB4yMzPBYrGeyI6dmkOjra2N0NDQQZM7exTa2tp0E6FQKIRAIICNjQ0qKipQUFAgN7hLXS+KlAFVvPAgYREIBJg3bx7YbDaOHz+uFsIik8mwdu1aPPXUU/Dz8wPQ6Ryip6fXI5RvZ2eHmpoaFazy8VDLb93DxOBhiXvgf6Wm/TWDRV9fH05OTnBycqJDEjweD3fv3qX7PmxtbQfMzbU7jY2NyMjIwLBhw+Dh4aERvSfa2tr0SY+aZsjn85Gfn08XWVCVZ4+6+qZ8woyMjODn56c2lWoDBRUKFQqFGDNmDP15dW2GLSwsVInz8EBACEFxcTFqamoUCkt7ezvmz58PADh16pTa5OBWrVqFnJwc3LhxQ9VLURpqKS6K6J64V1QRVlxcjIqKisdquHwSdHV14ejoCEdHR7rvg8vlIjU1Fbq6urTQKCPM0xuo5sAnmR6oarS0tGBpaQlLS0t4enqitbUVPB4PZWVlyM3NfajrcFefMF9f30FzwuwtlAmjVCrt0SBoaGhI7767hiTLy8vV1vesL5SUlKCqqgphYWE9quI6Ojrw4osvor29HRcuXFCbPp/Vq1fj9OnTSE5Olrsgtre3h0gkQmNjo9zuhcvlwt7eXgUrfTzUMucilUrpCZGAfGMklbTveuKQSqXIzs6m57yr+mqka5iHz+fTYR47O7t++/Leu3cPxcXF8PPzU6llen/yICsaW1tbeh6HJu3YlIlEIpGzje9tKLDruGw+nw+pVAorKyvY2tr2qZ9GlZSWluL+/fsK+3iEQiEWLlwILpeLS5cuqYWXGiEEa9aswfHjx3H16lWMHDlS7n4qoX/w4EHMnTsXAFBQUABvb28mod9Xuo467ppfobpru9LR0YGMjAzo6OggICBA7RK3VJiHKgiQSqX0CdHKyuqJwzZUfJmyyNF0n6jeIhKJaKGpq6sDIQQWFhYYOXKkRlnRKANqFo22trbCQVe95UH9NJqQp7l79y7Ky8sRFhbWQ1jEYjEWLVqE8vJyJCYmqo378xtvvIEDBw7g5MmTcr0tZmZm9Ge9cuVKnD17FnFxcTA1NcWaNWsAALdu3VLJmh8HtRaXRyXuqRks1tbWSrVL7y+oBkNKaEQi0RM1bVKlts3NzWqxY1MF1PREKjSpSVY0ykAsFiMtLY02IFVmjulB/TTqlqcpKytDWVmZQksbiUSCpUuXIj8/H0lJSWq1q3/Q57dv3z4sWbIEwP+aKA8ePCjXRMmExfqITCaDSCR6qLBwuVzk5ubC3d0dLi4uanOg9xbKYI/H44HL5aKtrY0OR/Smk10sFiMzMxNSqXTIlNp2hyre6Do9UVOsaJSBSCRCWloaPeSsP0WUytNQdinqkqcpLy9HaWkpQkNDe5hwSqVSrFixAhwOB1euXNGIE/JgQi3F5fjx4xCJRJgyZQoMDQ17JO4pK5PBlF8QCAT0CbGlpeWh9h7t7e3gcDhgs9lKv1rVFKiTSmBg4AN9wqgwD/W5dnR0wNLSstcCrs4IhUKkpaXB2Nh4wMvNH5Sn6W1Fn7Kg5tGEhIT0sPSRSqVYs2YNbt68iatXr6rc/Xooopbism3bNuzYsQP19fWYPn06YmNjMW3aNGhpaeHdd9/FzJkzMW7cuEFnF07R3t5O99JQiWuq8oxKXNva2sLb21vjdmxPClUVWFlZ+dg+Yd0F3NzcnM5/qXM+oTsdHR1IS0uDmZkZRo0apdJjQFV5moqKChQVFSmcRyOTyfDWW28hMTERV65cgYuLS7+sgeHhqKW4AJ0HyO3bt5GQkIDjx4+jsrISenp6MDQ0xKlTp+Dr66vqJQ4IVNMmj8dDfX09CCF0ma46z2XvD5TpEzbQVjTKor29HampqfQsHnVbJ3VhxOPx+i1PU1lZiYKCAoSEhCgUlnfffRf//e9/cfXqVbi7uz/x6zH0DbUVl67k5OQgIiICxsbGIISgvLwcU6dORXR0NGbOnDlgfSSqpKqqCnl5eRg2bBg998PAwIDe0Qz2CimZTIbs7GwIBAKEhIQotau6a98HNViOEhp1OraoPh4bG5sBce19UvojT1NVVYX8/HyFYxNkMhk++ugjHDlyBFeuXIGnp6ey3gpDH1B7cSksLMTo0aPx5ptv4uOPPwaLxUJubi7i4+Nx/Phx3LlzB5MnT0ZMTAyioqJgZWWl9l+6x4EQQk8O7JpfkEqlct5cOjo6A960OVAMpE9Y9x4lAGox76e1tRVpaWlwcHDAyJEjNe7vq4w8TXV1Ne7cuaNQWAgh+PTTTxEXF4crV67Ax8env94KQy9Re3GRyWRITk7GpEmTetxHCEFhYSESEhJw7NgxZGZm4umnn0ZMTAztdqppX8KuyGQyuTDQg7zLqC8ulU8AQAuNpaWlRpfiUgacOjo6CAwMHFCfMEKIXI+SWCymK/oGMnHd0tKCtLQ0ODk5YcSIERp9TAN9y9NQ1aGK5hERQvDVV19h9+7dSEpKgr+//0C9FYaHoPbi0luoK3wqR3P79m2MGzcOMTExiImJgaOjo0Z9KSUSCe0RFRwc3OswUH83bQ4kXX3C+rvU9lF0LR3n8XgQCAQPtaJRFs3NzUhPT6fHUg9GqDwNn8+Xy39ReRo+n4/s7GwEBATAxsZG7rmEEGzbtg3ffvstEhMTERwcrKJ3wdCdQSMuXaEmTx47dgzHjh3DrVu3EBYWRguNuvfFCIVCcDgc6OrqPtHVetdSXC6XC6FQKNe0qc7WHlR+QZ0T113HMHS1olFWM2tjYyM4HA7c3Nzg6uqqlN+p7nTP02hpaUEsFmPEiBFwdXWVu8AghOD777/Hl19+iQsXLmD06NEqXDlDdwaluHSFEILq6mocP34cCQkJuH79OgICAmihUTcfqtbWVnA4HFhYWMDX11dpV+sPuvKmwmfq1PNBXa1rik9YVyua+vp6sNlsWmj6WmjR0NAADoej0SakTwqPx0NWVhYsLS3R2toKqVQKS0tLpKamIjo6GseOHcPHH3+Mc+fOYfz48apeLkM3Br24dIUQgtraWlporly5Am9vb8TExCA2NlblfSMNDQ3IyMjA8OHD+z223tbWRgtNc3MzPX7Y1tZWpfMt6uvrkZmZqbFX65Q7NlVoQY0TsLW17XWFVF1dHTIzM+Hp6dkvYyM0Aeoz8PX1hb29PT2G/M6dO/jXv/6FsrIysFgsrFq1CuvWrRuwXpbk5GR8/fXXSEtLoy9aY2Nj6fsJIdi8eTN++uknNDY24qmnnsLu3bt7mFIOBYaUuHSFEIKGhgacPHkSx44dw6VLl+Dm5oaYmBjMnj0bo0aNGtAYP5WwVMUJpaOjgxaaxsZGuabN7rbl/Qk1MsDLy2tQdFR3taKhKqSosKSVlZXCcCeVX/D29oajo6MKVq166uvrkZGRAR8fHzg4OMjdRwjBH3/8gbVr12Lp0qW4c+cOkpOTMWrUKJw5c6bfj5tz587h5s2bCA0NxZw5c3qIy1dffYUvvvgC+/fvh5ubGz766CNkZ2cjLy9PLYaSDSRDVly609TUhP/+9784duwYzp8/D0dHR1pogoKC+k1oCCG4d+8eSkpK4O/v3yNhOdB0dxs2MjKSm7TZX7spqn9hMFn6dKVr/ovP56O9vb2HFQ1lwjlq1Kgh64NFhQMViSshBEePHsXq1auRkJCA6dOn08+5cOECnn/++QEtWGGxWHLiQgiBo6Mj1q9fjw0bNgDoPK/Y2dkhLi4OCxYsGLC1qQOMuCigpaUFZ8+exbFjx3D27FlYWVkhOjoasbGxCA8PV9oBTM355nK5CAoKeiwrk4FA0Zx7Ozs7pTdtUl5xD/MJG2xQVjR8Ph/Nzc0wNDREW1sbvLy8hmyOpbGxEenp6Q/cuR4/fhyvvfYaDh8+jKioKBWsUJ7u4lJaWooRI0aAw+EgKCiIftwzzzyDoKAg7NixQzULVREaM4lyIDExMcELL7yAF154AW1tbbhw4QISEhIwZ84cGBsbIzo6GjExMRg3blyfK7mkUilycnLQ2tqK0aNHq6W3Vfc591QuIT09nba1p5o2+7Kz6+oTpsjVdjBjZGQENzc3uLm5oby8HEVFRTA2NkZBQQEqKioGZLeoTlCVcZ6engqF5fTp03jttdfw+++/q4WwKIKaa29nZyd3u6bMvFc2jLg8AkNDQ8yePRuzZ89GR0cHLl++jISEBLz00kvQ1dVFVFQUZs+ejQkTJvS6tFckEiEjIwMsFgvh4eFqVan1ILqKSdemzezsbBBC5HppeiM0XX3CwsPDh+QsGqDTgLGkpATBwcGwsrLqMYJYXa1olElTUxM4HA48PDwU5hvPnz+PV199Fb/++itmz56tghUy9AVGXB4DAwMDREVFISoqCmKxGFeuXEF8fDyWLl0KqVSKmTNnYvbs2Zg0adIDBaOtrQ0cDoe2StekpkYKLS0tWFtbw9raWq6LPT8/HxKJRK6XRtH76+oTFh4ePuQSnRT379+nnX2psbvdd4uUiGdmZgJQDysaZUKVnbu7uysMByYlJWHRokX48ccfMX/+fBWssPdQeTIulytXiECFvYcaTM5FCUgkEly/fh3x8fE4ceIEBAIBZs6ciZiYGEydOpU+eXI4HDQ1NcHBwQGenp6D7ipU0fwUKysr2NnZ0U2bA+kTps5Q82gUWcYrQl2saJQJZWvj6uqqsOw8OTkZzz//PHbs2IFXX31V7b4vD0rob9iwAevXrwfQKZ62trZMQp/hyZFKpbh16xZtQ9PQ0ICIiAjY2Njgl19+wc8//4w5c+aoepn9DiFEbn5Ka2srzM3N0d7eDgMDAwQHBw+oT5g6QRmRhoSE9CnP1LUhls/no7W19aHD5dSR1tZWpKamwsXFBW5ubj3uv3XrFubMmYOtW7dixYoVaiMsra2tKC4uBgAEBwfj22+/xeTJk2FpaQlnZ2d89dVX+PLLL+VKkbOysphSZAblIpPJ8Pfff2PTpk24fPkydHV1MWPGDMTExCAyMrLHvO/BTENDA7KysiCTySCVSmFmZgY7O7t+HSilbhBCUFJSgoqKCoXz3vtKdysaExMTOj+mjrksyuGZMuLszu3btxETE4NPP/0Uq1evVhthAYCrV69i8uTJPW5fvHgx4uLi6CbKvXv3orGxERMmTMCuXbuGpP0/Iy79CCEEH3zwAfbs2YMTJ07A2NgY8fHxOHbsWI+ZNGZmZmr1JVIm3X3Cug5Aa2hoUPuToTIghKCoqAjV1dUIDQ19oMP1k9IfVjTKRCAQIDU1lbb26Q6Hw0FUVBQ+/PBDrFu3TuXrZeg7jLj0IwKBAC+//DK+/PJLeHt707cTQpCTk0PPpCkoKMCkSZMQGxuLqKgoWFpaDpov1aN8wro3bRoaGsLW1hZ2dnaDpgyX6mfi8XgIDQ0dMAGlrGgox+G+WNEok7a2NqSmpsLBwUHhsZCdnY0ZM2Zgw4YN2Lhx46D42w9lGHFRMdSJh5pJk5WVhaeffhqxsbGYNWsWbG1tNfZL9rg+YRKJRK5pU09Pj97RaOrOrmvJdVhYmMpCgH2xolEm1HhmW1tbhcUseXl5iIyMxKpVq7B582aN/FszyMOIixrRdSbNsWPHkJqaivHjxyMmJgbR0dEaNZOG8gnrq0dW16ZNPp8PLS0tekfT16bNgYYQgtzcXDQ1NSE0NFRtErq9saJRJpSwPGg8c0FBASIjI7F06VJs2bJFY45xhofDiIuaQnmOUTNpUlJSEB4eTo8KcHZ2VtsvYWVlJQoKCpTmE9b1qpvH48k1baprv4dMJqMdGEJDQ6Gvr6/qJT2Q7lY0ZmZm9I7xSXdaHR0dSE1NhZWVlULX8ZKSEkRERGDBggX4+uuvNeKigaF3MOKiARBCUFVVRY8KuHHjBgIDA2mhUafRt/3tE0YIQVNTE7hcLt3vYW1tDTs7uwEJ7/QGqkm0ra0NoaGhGtXL09HRQedo6uvrn8i4tKOjA2lpabCwsFA48K2srAyRkZGIjo7Gjh07GGEZZDDiomEQQsDj8XDixAkkJCTg6tWr8PHxoWfSKAo7DNS6KJ+wvvZv9OU1W1pa6B1Ne3s73VhoY2OjksZCqVRKj6cOCQnRKGHpTvepkLq6unJ+cg87zoRCIdLS0mBmZgZfX98ej62oqMD06dMxffp07Nq1ixGWQYjKxKWsrAyffvopkpKSUFNTA0dHRyxcuBAffPCB3BcyKysLq1atwu3bt2FjY4M1a9bgnXfeUcWS1Q5CCOrr6+mZNJcvX4a7uzs9KkCZkywftQ4qaR0SEqKycuKukza7Nhba2toOSFhKKpUiIyMDUqkUwcHBGtk1/yC6WtHw+XwAD7aiEYlESE1NhampKUaNGtVDWKqrqxEREYGnn34aP/30k1qGNRmeHJWJy/nz53H48GG8+OKL8PDwQE5ODpYvX45XXnkF33zzDYDOMlZPT09MnToV7733HrKzs7F06VJs374dr732miqWrdY0NjbSM2kuXLiAYcOGITY2FjExMf02k6arT1hISIjaJK27NxYqM4+gCIlEAg6HAwCD3n2gqxUNn8+HSCSid4ympqbIysqCkZER/Pz8ehxzXC4XkZGRCAsLw/79+xlhGcSoVVjs66+/xu7du1FaWgoA2L17Nz744APU1NTQu5mNGzfixIkTyM/PV+VS1Z6WlhacOXMGx44dw7lz52BtbS03k0YZQqMpPmFCoZAWmoaGBhgbG9OVZ8rYZYnFYnA4HGhrayMoKGhInTC7WtFQO0ZdXV24u7v3GJldW1uLGTNmwNfXFwcOHBjUAsygZuLy4Ycf4vz580hNTQUALFq0CM3NzThx4gT9mCtXrmDKlCmor6+nnWQZHk5bWxvOnz+PhIQEnDlzBiYmJnIzafpyMhSJROBwONDR0UFgYKDGnCjEYrFc0yabzaZ3NCYmJo+drxKLxUhPT4eenh4CAgKGlLB0hfocdHR0YGVlhdraWjQ2NqK6uhp37tzB9OnTsXHjRri7u+Pw4cNqcSHyww8/4Ouvv0ZNTQ0CAwOxc+dOjB49WtXLGjSoTRatuLgYO3fuxIoVK+jbampqFA7eoe5j6B2GhoaYM2cO/vjjD9TU1GDXrl0QCARYsGABPD098X//93+4evUqxGJxr34fVV7KZrM1LgSkq6sLR0dHBAUF4ZlnnsGIESPozvEbN26goKAAjY2N6M01F5Vb0NfXR2Bg4JAVFiokqKenh+DgYLi6uiIsLAwTJ06ElZUV/vrrL8ycORMlJSXw8PAAh8OBTCZT6ZoPHz6MdevWYfPmzUhPT0dgYCCmT58OHo+n0nUNJpQuLpRtw8N+uoe0KisrERERgeeffx7Lly9X9pIYumBgYIBZs2YhLi4ONTU1iIuLAwAsWbIEHh4eeOONN3Dp0iWIRCKFzxcIBLh9+zbMzc3h7++v0VU+Ojo6sLOzQ0BAAJ555hl4e3tDIpEgIyMDycnJdJGCohOhUChEamoqjIyMEBAQoNGfw5NACYuOjk6Pz0FPTw8TJkwAIQSTJ0/Gzz//DC6Xi4iICAQEBPRKwPuLb7/9FsuXL8err74KX19f7NmzB4aGhvj1119VtqbBhtLDYnw+H3V1dQ99jLu7O70trqqqwqRJkzB27FjExcXJHZxMWGzgkEgkSE5OpmfStLe3Y+bMmYiNjcWUKVNgYGCA69evo7CwkL7iV5feGmUjk8nohDWXy4VMJpObtCkWi+kyW0XVUEMFqVSK9PR0aGlpKcw1tba2Ys6cOdDT08Pp06dhaGgIoDOEVlhYiFGjRqli2RCJRDA0NER8fDw9iwXodDZubGzEyZMn++21pVIptLW1IRKJIBaLB61RK9APkyhtbGxgY2PTq8dWVlZi8uTJCA0Nxb59+3pc/Y0bNw4ffPABxGIxXdZ56dIleHl5McKiZHR0dDBlyhRMmTIFO3fuxM2bN5GQkIB169ahqakJgYGB+Pvvv/HWW28pdLMdTGhpacHS0hKWlpbw8vJCU1MTeDweCgsLIRQKwWKxYGpqqrKeInWAKrtmsVgKhaWtrQ3z58+HlpYWTp06RQsL0BmaVJWwAJ2FBVKpVGHIvT8LhSQSCXR0dMDn8/Hmm2/SozfMzMz67TVVicr28pWVlZg0aRKcnZ3xzTffgM/no6amRi6X8tJLL0FPTw/Lli1Dbm4uDh8+jB07dmDdunWqWvaQQFtbGxMnTsSOHTtQVlaG9957D3/++SeMjY2xc+dOLFy4EEePHkVLS4uql9rvsFgsmJubw9PTE0FBQdDR0YGRkRFEIhGSk5PB4XBQWVn5wDDiYIQSFplMplBYOjo68OKLL0IoFOL06dP9Nl5AkyCEQEdHB/X19Rg9ejTEYjG8vLwGpNlYVagsE3vp0iUUFxejuLgYTk5OcvdRkTozMzNcvHgRq1atQmhoKKytrbFp0yamx2UA2b9/Pz777DMcPXoUs2bNAofDQXx8PD7//HO8/vrrmDp1KmJiYjBjxgyNdS7uDdSAKwcHB4wcORIsFov25KqoqMCdO3c0bhpkX5DJZMjMzIRUKkVISEiPYg6hUIiFCxeisbERFy9eVMuTp7W1NbS1tcHlcuVu53K5sLe3V9rrCIVCunmXxWJBIpHglVdewZgxY3Do0CH6cQUFBdDR0VE4OE2TUatSZAb149ChQ3BwcMAzzzwjdzs1k+bo0aM4fvw4CgsLMXnyZMTGxmLmzJmDaiYNNeudmpyo6H21t7eDz+eDy+WiqakJpqamdIlz15CQJkMJi0gkQkhISA8HArFYjEWLFqG8vByJiYmwsrJS0UofzZgxYzB69Gjs3LkTQOd7c3Z2xurVq7Fx48Yn/v13797FxIkTweFwYG1tDaDzGImNjcWcOXOwYsUKHDp0CJcuXUJ8fDzc3NywYcMGLFy48IlfW11gxIXhiSGEID8/nx4VkJ2djYkTJ9IzaWxsbDRWaKhhZ87OznB3d+/Vc7pO2qyvr6ebNqlJm5r4WVBODO3t7QgNDe0hLBKJBEuXLkV+fj6uXLnS67yrqjh8+DAWL16MH3/8EaNHj8b27dtx5MgR5Ofn98jF9IXKykqcP38ey5Yto29raGjA7NmzYWxsTHu1hYSEYOLEifjjjz9gYmKC/fv3P/FrqwuMuDAoFWpOPCU0aWlpGD9+PGJjYxEdHQ0HBweNObk2NjaCw+H0etiZIijzR2oAmoGBAS006jB2uDdQ4wMEAgHCwsJ6CItUKsWKFSuQkZGBpKQkpYaW+pPvv/+ebqIMCgrCd999hzFjxij9dSIjI7F582aMHTsW6enp+O2339DQ0IANGzbAyckJ5ubmWLt2LVpaWvDzzz9rxDHRGxhxYeg3CCEoLy+nZ9L8+eefGD16NG1DM3z4cLX9IjU0NIDD4cDDwwPOzs5K+Z1SqVROaHR0dHrtMqwqqPAnNZeme2e9VCrFmjVrcOvWLVy5cgXDhg1T0UrVB6rcGOjM1c2aNQsZGRk4c+YMxo8fD5FIJPc5Xrx4EQsWLMDOnTvx8ssvq2rZSocRF4YBgZpJc+zYMSQkJODmzZsICgqiZ9K4u7urzcm1rq4OmZmZ8PT07FFsoixkMhnq6+vB5XLB5/PBYrHkXIbVoSmTmqTZ3NyMsLCwHsIik8mwdu1aJCUl4erVq0oT4cHC1atXMWnSJFRXV2PDhg04efIkzp07h6effhoA8NdffyEhIQEHDhzAmjVr8O6776p4xcqFEReGAYcQAi6XS8+kuXbtGnx9femZNIpmrA8UtbW1yMrK6vN45r7QtWmTx+NBKpXKNW2qwlaGEIK8vDw0NjYiLCysx8gCmUyGd955B6dPn8bVq1d7nY8aKqxatQplZWU4c+YMgM7m8g0bNuDo0aM4e/YsJk2ahMrKSmzduhWjR48eVDsWCkZc+siWLVtw5swZZGRkQE9PD42NjT0ec+/ePaxcuRJXrlyBsbExFi9ejC+++EKjvLj6G2omzYkTJ+iZNB4eHvRMGh8fnwG7iufxeMjOzsaoUaNUljfoOt+ey+VCKBTC2tqaLnEeiGOHms9TX1+PsLCwHmXVMpkMH374IY4ePYqrV69i5MiR/b4mdYcQIndBtGvXLuzfvx8pKSkAOhtz6+rq8M477+Dw4cM4cuQIZsyYIVeuPNhgxKWPbN68Gebm5qioqMAvv/zSQ1ykUimCgoJgb2+Pr7/+GtXV1Vi0aBGWL1+Ozz//XDWLVnOoEcanTp3CsWPHcPHiRTg5OdE7msDAwH4TmpqaGuTm5sLf3x+2trb98hqPS3c7e4FAIDdpsz+chanKv7q6OoXCQgjBJ598gv379+Pq1avw9vZW+ho0DZlM1uO4PH/+PBYsWICSkhK5kuza2lq89957+OWXX1BQUAAPDw+1CQcrG0ZcnpC4uDisXbu2h7icO3cOUVFRqKqqoksb9+zZg3fffRd8Pl8tLMfVHWomTUJCAs6dOwcbGxtER0dj9uzZCAsLU5rQULbw/v7+al1CKxAI6BLn5uZmmJub0wUBymjaJISgsLAQPB4PYWFhPYaqEULw5ZdfYs+ePbhy5Qr8/Pye+DUHE2+//TYqKiowYcIESCQS/PHHH9i6dSvGjh0r9/cRCoVITEzEjBkzVLja/ocRlyfkQeKyadMmnDp1ChkZGfRtd+/ehbu7O9LT0xEcHDywC9VwBAKB3EwaMzMzzJo1C7GxsRg7dmyf8xIVFRUoLCxEYGCgWjf9daejo4Pe0TQ2Nj5x0yYhBEVFRaipqUFYWFiP30EIwbZt27Bt2zYkJiYiKChISe9kcFBRUYHPPvuM3mGWlpaipKQEI0eOhJ6eHsaPHw9bW1tYW1tj9erVQ2I8AxP87yeYWTTKxcjICHPnzsXcuXPR3t6OS5cuISEhAS+88AL09fUxa9YszJ49G0899VSv8xL3799HUVERgoODNc4I1cDAAM7OznB2doZIJKJ3NMXFxTAyMqKFxtjY+JFhF0IIiouLHyos33//Pb799ltcuHCBERb8z4SSujZ3cnLCnj176PvLysowa9YsBAcHY+zYscjNzcWpU6cwe/bsISEsACMucmzcuBFfffXVQx9z584dJs6sYthsNqKjoxEdHQ2RSISkpCTEx8dj0aJFYLFYmDlzJmbPno2JEyc+MPxYXl6O0tJShISEwNzcfGDfgJLR09PDsGHDMGzYMLmmzbKyMujr68POzu6hTZulpaWoqqp6oLDs3bsXX3zxBc6dO4fw8PCBeltqS1xcHMrKyhATEyMXgaD6V2QyGVxdXTFt2jTcu3cPb7zxhgpXqzoYcenC+vXrsWTJkoc+prcll/b29vj777/lbqOM8jSlg1kT0NPTQ0REBCIiIrBnzx5cu3YN8fHxWLFiBYRCIT2TZvLkyXTc+/jx47CwsEBISMigszvX1dWFg4MDHBwcIJVKUVdXBx6Ph/T0dGhra9M7GgsLC7BYLJSWluL+/fsICwvrMVuEEIK4uDhs3rwZp0+fxrhx41T0rtSH8vJyvP322wgPD8f333+PV199FYGBgVi4cCF9IUMl+G1sbHD69GmFCf+hAJNzeUIeldCvrq6mq4/27t2Lt99+Gzweb9CWH6oLUqkUN27cQEJCAo4fP47m5mZERESgsbERf/75J1JSUvps6aKJUE2bPB4PfD4fhBCw2Wza0qW7ezEhBL///js2bNiAU6dOYfLkySpauXrR0tKC6OhoREVFYe7cudi5cyfOnz8PBwcHLFy4EM899xztUpCVlYWIiAj8+eefQ7LBdOjJqZK4d+8eMjIycO/ePXq+RUZGBlpbWwEA06ZNg6+vL1555RVkZmbiwoUL+PDDD7Fq1SpGWAYAbW1tPPPMM/juu+9QXl6Os2fPorS0FJcvX4ZIJMKHH36I+Ph4+u812NHS0oK1tTV8fX0xceJE2NnZobW1Fdra2khLS0N2djbKysrQ3NwMQgiOHDmC9evXIz4+Xi2EZcuWLRg/fjwMDQ0fGMa8d+8eZs6cCUNDQ9ja2uLtt9+GRCJR2hoIITAxMcHmzZvx448/QigUYsuWLcjNzYWDgwNWrFiB8PBw7NixAykpKbCzs8P8+fOHpLAAjLj0mU2bNiE4OBibN29Ga2srgoODERwcjNTUVACdJ7fTp09DW1sb48aNw8KFC7Fo0SJ88sknKl750IPFYuHIkSOoqalBXl4erl+/Dk9PT3z22WdwdXXFCy+8gIMHD6KpqUmlc90Hivv376Ompgbh4eGYOHEiQkJCYGBggN9//x0uLi4YPXo0Xn/9dfzyyy+YPn26qpcLoDOf8fzzz2PlypUK75dKpZg5cyZEIhFu3bqF/fv3Iy4uDps2bVLaGlgsFggh8Pf3R3BwMC5evAgDAwOIRCLcvHkTr7zyCt566y3s27cPkydPRlJSErZv366019c0mLAYw6Cnrq4O8+fPx88//ww3Nzf6dsrtl5pJU1RUhClTpiAmJgZRUVF0XmIwcf/+fRQXFyvMN8lkMnz33XfYvHkznJycUFlZiWeffRZz5szBkiVLerghqwJ16Sv77rvvsG3bNly4cAExMTEYMWIEDh48CBMTE5SUlKCwsBCRkZFKfU1Ng9m5MAx6rKyskJiYKCcsQGeoKCAgAJ9++imys7PB4XAwbtw4/Pjjj3B3d0dMTAx+/fVX8Hi8QbGjqaiooEuvFRUyXLx4EVu2bMGBAwdw9+5d3LlzB88++yzOnDmj9pZFKSkp8Pf3lyv/nz59Opqbm5Gbm/tYv4v6W9fV1T3wvjVr1sDf3x/e3t7w8PDAb7/9BhMTEwDAiBEjhrywAIy4MDAA6Ax5+Pr6YtOmTUhPT0dubi6mTp2K//znPxg5ciRmzJiBPXv2oKqqSiOFpqqqCoWFhQgODlaYs0hMTMSiRYuwd+9ezJs3D0DnSXLDhg04ceKE2u/glNlXxmKxkJ2djeDg4B7PpT4HFouF8ePHw8rKCr/88gssLCwgk8me4B0MPhhxYWDoBovFwsiRI7Fx40b89ddfKCoqQnR0NBISEuDt7Y1p06Zh586duHfvnkYITXV1NfLz8xEUFKSwWTQ5ORkvvfQSdu7ciZdeemnAhGTjxo1gsVgP/cnPzx+QtXSnpaUFhBCFxTfU3/z//u//YGpqim+++QYAhmS58cNgPg0GhofAYrHg6uqK9evX48aNGygrK8MLL7yAs2fPws/PD5MmTcK2bdtQWlqqlkJTU1ODO3fuIDAwEJaWlj3uv3XrFubPn49///vfWLJkyYDuUNavX487d+489Odx+sqoPjKKJ+kro7zrEhMTe9zHYrEgk8nAZrOxYsUKnDt3DkVFRY/9GoMd9Q6kMjCoESwWC05OTnjzzTexZs0acLlcHD9+HAkJCfj4448xatQoxMbGIiYmRqUzaSi4XC7y8vIQEBCg0Dft77//xrx58/D5559j+fLlA75eGxsbpRmFjhs3Dlu2bAGPx6P7yi5dugRTU1P4+vo+9LndmxxlMhkIIXBwcMDdu3cVPod6/DPPPIOkpCR4eHgo5X0MJpidyxDmhx9+gKurKwwMDDBmzJgejgIMD4bFYsHe3h4rV67EpUuXUF1djTVr1uDvv//G2LFjMWbMGGzZsgV5eXkq2dHweDzk5OTA398f1tbWPe5PT0/H7NmzsWnTJqxatUrlQvgo+rOvTEtLC8XFxTh69CgqKirQ0tICfX19zJkzB+np6QA6S527QwjBmDFjcP78ebX//FQCYRiSHDp0iOjp6ZFff/2V5ObmkuXLlxNzc3PC5XJVvTSNRiaTkfr6erJ//34SHR1NDAwMiKenJ3n77bfJzZs3SUtLCxEIBP36U1ZWRk6dOkXu3r2r8P6UlBRiaWlJvvjiCyKTyVT9kfWKxYsXEwA9fq5cuUI/pqysjERGRhI2m02sra3J+vXriVgsfujvlclkpLW1lUyZMoWYm5uTkSNHEltbWxITE0NcXFyIt7c3EQgEhBBCJBJJf77FQQfT5zJEGTNmDO2PBHSGAoYPH441a9Zg48aNKl7d4KG5uZmeSXP+/HnY2trSM2lCQ0OVngSura1FZmYm/Pz8elRPAUBeXh4iIyOxevVqbNq0ibni/oe6ujqYmZkhLy8PqampqK+vR2JiIsrLy+Hv74+ff/4ZJiYmkEqlQ8bV+ElhxGUIIhKJYGhoiPj4eMTGxtK3L168GI2NjTh58qTqFjeIEQgEOHfuHD2TxtzcHNHR0YiNjcWYMWOe+KRVV1eHzMxM+Pr6KkxiFxQUIDIyEsuWLcNnn33GCEsXFJlLCoVCJCQkYPv27Rg2bBj2798PU1PTIWtE+bgwn9AQpLa2FlKpVGFfADNrpv8wMjLCvHnzcPDgQXC5XOzcuRPNzc2YP38+vLy88NZbbyE5OblPflj19fXIzMyEj4+PQmEpLi5GVFQUFi5ciE8//ZQRlm5QYkFda8tkMujr62PevHlYs2YNamtrMWPGDDQ1NTHC0kuYajEGBhXAZrMRExODmJgYiEQiXL58GQkJCXjllVfAYrEQFRWF2NjYh86koWhoaEBGRga8vb3h4ODQ4/6ysjLaxXfr1q3MyfEhUKKrpaUFQgj09PTw0ksvQSQS4ezZs0yj5GPAhMWGIExYTH0Ri8X0TJoTJ05AJBIhKioKMTExmDJlSo/Kp8bGRqSnp8PLy4u2eu/K/fv3MX36dERERGDXrl2MsDwmhBC6r0UoFILNZqt6SRoDc6QNQfT09BAaGirXICaTyZCYmMgMhFIxurq6mDp1Kvbs2YPKykocP34cZmZmWLt2Ldzc3LBs2TKcOnUKbW1tuHLlCpYtWwYPDw+FwlJdXY2ZM2fi2WefxQ8//MAISx+gnJC1tLQYYXlMmJ3LEOXw4cNYvHgxfvzxR4wePRrbt2/HkSNHkJ+fr7DKiEG1yGQy/Pnnn4iPj8fx48fB5XIhEokQExOD3bt3w9jYWO7xXC4XkZGRCA8PR1xcHFPhxDDgMOIyhPn+++/x9ddfo6amBkFBQfjuu+8wZswYVS+L4RGkpaVhypQpCAkJQWVlJSoqKjB16lTExsYiMjISYrEYM2bMgJ+fH37//Xe1dzRmGJww4sLAoEHk5+djwoQJeOedd/DOO+9AJpMhKyuL3tEUFRWBzWZjwoQJOHHihFrMYGEYmjDiwsCgQQgEApw4cQIvv/xyj/sIIcjOzsYHH3yAo0ePwsDAQAUrZGDohBEXNYP6czB9CAwMDJoMUz6iRggEAnqOBQMDA4Mmw4iLGrFs2TL861//glAopG+jmraYDSaDplBWVoZly5bBzc0NbDYbI0aMwObNmyESieQel5WVhaeffhoGBgYYPnw4tm7dqqIVM/QHjLioEatWrcKRI0fQ0dEBAHR9fU1NDbObYdAY8vPzIZPJ8OOPPyI3Nxfbtm3Dnj178P7779OPaW5uxrRp0+Di4oK0tDR8/fXX+Pjjj7F3714VrpxBqQycATPDoygpKSG+vr7kwIEDhBBCmpubyfbt2wmbzSa7du1S8eoYGPrO1q1biZubG/3vXbt2EQsLCyIUCunb3n33XeLl5aWK5TH0A8zORU2QyWRwd3eHubk58vLy0NTUhJdffhl79uzBN998g5UrVwJ4dHhM0VCjwUJycjJmzZoFR0dHsFgsnDhxQu5+Qgg2bdoEBwcHsNlsTJ06lRk/qyY0NTXJjVlOSUnp4Zs2ffp0FBQUoKGhQRVLZFAyjLioCZQ1x6pVq5CQkAA/Pz/U1dXh4MGDeOONNwB0CtCjwmODuRNbIBAgMDAQP/zwg8L7t27diu+++w579uzBX3/9BSMjI0yfPp0OMzKohuLiYuzcuRMrVqygb6upqVHoyk3dx6D5MOKiBlBJ++rqauTm5iI/Px+TJk3C6dOnERQURD9OkTcU9dy0tDRERETgs88+G7Qn08jISHz22WeYPXt2j/sIIdi+fTs+/PBDxMTEICAgAP/5z39QVVXVY4fD0Dc2btxIVzM+6Cc/P1/uOZWVlYiIiMDzzz+P5cuXq2jlDKqA8YVQMdRku7KyMjz//PP0vPPw8HBYWFhALBY/tMtaS0sLIpEIa9euhaOjI/bs2YMVK1YMuQa6u3fvoqamBlOnTqVvMzMzw5gxY5CSkoIFCxaocHWDg/Xr12PJkiUPfYy7uzv9/1VVVZg8eTLGjx/fI1Fvb28PLpcrdxv1b0XzaBg0D2bnomK0tbWRnJyMiRMnwtzcHPv27cPSpUtx+fJlSKXSBwoLtWPh8/n4f//v/0EqleK9996Drq4ubGxsejx+MOdigP+FUpgBaP2HjY0NvL29H/pD5VAqKysxadIkhIaGYt++fT123ePGjUNycjLEYjF926VLl+Dl5QULC4sBfV8M/QMjLipEIpFgxYoVWLhwIWbMmIGzZ8/C3t4ec+fORXJyMgQCwQOfS+VetmzZgszMTGzduhW6urrw8fFBbm6u3GsAPXMxXQsDZDIZ2tralPnWGIYwlLA4Ozvjm2++AZ/PR01NjZzIv/TSS9DT08OyZcuQm5uLw4cPY8eOHVi3bp0KV86gTBhxUSEsFgv+/v7Ytm0bdu3aBV1dXRBC4OXlBXt7e5w9e/ahz09MTMTBgwexZcsWjB07FnZ2digqKpK7Gjx9+jSeffZZOcGhXpsiNTUVZmZmKCsrU+r7G0ioUIqiUAsTZhlYLl26hOLiYiQmJsLJyQkODg70D4WZmRkuXryIu3fvIjQ0FOvXr8emTZvw2muvqXDlDEpFpYXQDD2QyWSEEELGjRtHXn/9dbnbCCFEKpUSQghJSkoiwcHBxMjIiBQUFND3Dx8+nNTU1Mj9Tnt7e7Jv3z7638nJyaSwsFDu91VWVsq9jroDgBw/fpz+t0wmI/b29uSbb76hb2tqaiL6+vrk4MGDKlghA8PQhtm5qBnUjuKTTz6hQ1lddxlaWlpobW3F2rVr4eTkhIiICISHh8PKygoTJkyAubk5OBwOgP+FvpYsWYLffvsNYrEYe/fuxfTp0/H++++jubkZWlpayM3NpXtHKKRSqdrNC29tbUVGRgYyMjIAdCbxMzIycO/ePbBYLKxduxafffYZTp06hezsbCxatAiOjo5yo5wZGBgGCFWrG8Pj0dDQQCIjI4mrqytpbGwkhBDC4/HIoUOHyBtvvEFYLBa5du0aIYTQ3c8nT54kPj4+ZO7cucTR0ZHs2LGD/n2JiYmExWLJ7X66oy47mitXrhAAPX4WL15MCOlc50cffUTs7OyIvr4+efbZZx/6vhgYGPoPphRZw2hsbISjoyNefvllmJmZQSqVwsbGBi+88AIiIyNx5MgRegfStXInPz8f9vb2OHz4MCZMmED/vtOnTyM4OBienp5oa2tDSkoKfvrpJxgZGWHhwoWYPHmy2viaTZo06aEOBSwWC5988gk++eSTAVwVAwODIpiwmIbh6uqKn3/+mR4W1bXEk8fjYeTIkSgoKAAA1NXVYcuWLfjoo48watQoODg4yAmLTCZDQkICYmJiAAD79u3DmjVrwGazIZVKsWDBAsybNw93794dwHfIwMAwGGB2LhpO112FhYUF+Hw+RCIROBwONmzYgOrqavz0008ghOCtt96CQCCAoaEhWCwWUlNTUVFRQeck+Hw+3N3d8csvv0BLSwv37t3DhQsX1GbnwsDAoDkwO5dBhJWVFYqKirBkyRIcPXoUNjY2iI+Px+zZsxEWFgZCCK5du0aLxZEjR+Dn5wcvLy8AwIQJE3DhwgWsWLECmZmZcHZ2xosvvggXFxdVvi0GBgYNhBlzPIQYP348Ro0ahb1794IQAh8fH7z00kvYvHkz/Zjbt29jx44dkEgk2LRpE3x9fUEIYXYvDAwMjwWzcxlC/Pjjj/D19QWLxcLt27dRVFSEmTNnAgAuX76M5uZmhIWF4YMPPgCXy8WKFSvA5XIZYWFgYHhsGHEZQvj7++Ott94CAAwbNgxbtmxBaGgoampq8NNPP2H//v0QCATw8fHByy+/jMzMzCFngMnAwKAcGHEZojg5OeG9994Di8WCmZkZnnvuOXz//fdwcXHBpEmT8MMPPyA6OhpmZmZq10yp6XzxxRcIDw+HiYkJbG1tERsbS1f4UXR0dGDVqlWwsrKCsbEx5s6d28PahoFBnWFyLgxycDgcXLt2DeHh4QgNDYWBgQGTc1EyERERWLBgAcLDwyGRSPD+++8jJycHeXl5MDIyAgCsXLkSZ86cQVxcHMzMzLB69WpoaWnh5s2bKl49A0PvYMSFgUHF8Pl82Nra4tq1a5g4cSKamppgY2ODAwcOYN68eQCA/Px8+Pj4ICUlBWPHjlXxihkYHg0TFmNgUDFNTU0AQM+YT0tLg1gslht85u3tDWdnZ6SkpKhkjQwMjwsjLgwMKkQmk2Ht2rV46qmn4OfnB6Bz8Jmenh7Mzc3lHssMPmPQJJgOfQYGFbJq1Srk5OTgxo0bql4KA4NSYXYuDAwqYvXq1Th9+jSuXLkCJycn+nZ7e3uIRCI0NjbKPZ4ZfMagSTDiwsAwwBBCsHr1ahw/fhxJSUlwc3OTuz80NBS6urpITEykbysoKMC9e/cwbty4gV4uA0OfYKrFGBgGmDfeeAMHDhzAyZMnaV83oHP0L5vNBtBZinz27FnExcXB1NQUa9asAQDcunVLJWtmYHhcGHFhYBhgHtQztG/fPixZsgRAZxPl+vXrcfDgQQiFQkyfPh27du1iwmIMGgMjLgwMDAwMSofJuTAwMDAwKB1GXBgYGBgYlA4jLgwMDAwMSocRFwYGBgYGpcOICwMDAwOD0mHEhYGBgYFB6TDiwsDAwMCgdBhxYWBgYGBQOoy4MDAwMDAoHUZcGBgYGBiUDiMuDAwMDAxK5/8DkWDx3oP3pXIAAAAASUVORK5CYII=", + "image/png": "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", "text/plain": [ "
" ] @@ -630,19 +562,12 @@ } ], "source": [ - "# calculate timeseries on Lorenz attractor \n", - "Lorenz = Lorenz_timeseries(spinup=100)\n", + "lorenz = Lorenz_timeseries()\n", "\n", - "# Plot\n", "ax = plt.figure().add_subplot(projection='3d')\n", - "\n", - "ax.plot(Lorenz[:,0], Lorenz[:,1], Lorenz[:,2], lw=0.5)\n", - "ax.set_xlabel(\"X Axis\")\n", - "ax.set_ylabel(\"Y Axis\")\n", - "ax.set_zlabel(\"Z Axis\")\n", - "ax.set_title(\"Lorenz Attractor\")\n", - "\n", - "plt.show()" + "ax.plot(*lorenz.T, lw=0.5)\n", + "ax.set_xlabel(\"X Axis\"); ax.set_ylabel(\"Y Axis\"); ax.set_zlabel(\"Z Axis\")\n", + "ax.set_title(\"Lorenz Attractor\");" ] }, { @@ -651,15 +576,15 @@ "id": "4bea44c2", "metadata": {}, "source": [ - "### 3.1 Recurrence properties\n", + "### Recurrence Properties\n", "\n", - "Calculate the recurrence plot for this three dimensional timeseries while using a fixed recurrence rate." + "We first calculate the RP of this three-dimensional timeseries for a fixed recurrence rate." ] }, { "cell_type": "code", "execution_count": 13, - "id": "d1276409", + "id": "07feab8f-6bdf-4c24-98a2-65f4dec2764a", "metadata": {}, "outputs": [ { @@ -669,99 +594,70 @@ "Calculating recurrence plot at fixed recurrence rate...\n", "Calculating the supremum distance matrix...\n" ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" } ], "source": [ - "# choose fixed recurrence rate\n", "RR = 0.05\n", - "\n", - "#For the obtained timeseries, calculate recurrence plot for a fixed global recurrence rate\n", - "Lorenz_rp = RecurrencePlot(Lorenz, recurrence_rate=RR) #supremum metric is used by default\n", - "\n", - "#Show plot\n", - "plt.matshow(Lorenz_rp.recurrence_matrix())\n", - "plt.xlabel(\"$n$\")\n", - "plt.ylabel(\"$n$\")\n", - "plt.show()" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "588bd7b5", - "metadata": {}, - "source": [ - "#### Local clustering coefficient\n", - "\n", - "Calculate local clustering coefficient and dimension of generated Lorenz timeseries and visualize result on plot." + "lorenz_rp = RecurrencePlot(lorenz, recurrence_rate=RR, metric=METRIC)" ] }, { "cell_type": "code", "execution_count": 14, - "id": "126f01df", + "id": "db9d16c4-5154-4371-ae3c-54e88f79e092", "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "Calculating recurrence plot at fixed recurrence rate...\n", - "Calculating the supremum distance matrix...\n", - "Calculating local clustering coefficients...\n", - "C_v = [0.65332227 0.65165906 0.64570268 ... 0.65980106 0.65624366 0.6570686 ]\n" - ] + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAcgAAAG4CAYAAADBg3crAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAABP7klEQVR4nO2de3RV1bX/v4SQEIQkPCQxFRBfIIIXBIvxdXsvGUal9UU7ik19XapDbnIrYFWohT6sQvFqFa9A9VZxDB+oY1y8ihXKCKDVRsBYwhvsBYWqASsk0aq8sn9/+DvHcw77nLP23usx19rzM0YGes7ee80512OuOfda63TxPM8DwzAMwzBpFJgWgGEYhmEowg6SYRiGYXxgB8kwDMMwPrCDZBiGYRgf2EEyDMMwjA/sIBmGYRjGB3aQDMMwDOMDO0iGYRiG8YEdJMMwDMP4wA6SYRiGYXxgBynAI488gpNOOgndu3fH2LFjsXbtWtMiKWP27Nk455xz0KtXL/Tv3x9XXnkltm/fnnbNl19+ifr6evTt2xc9e/bEhAkTsHfv3rRrdu/ejfHjx6NHjx7o378/br/9dhw5ciTtmtWrV+Pss89GcXExTj31VCxatEi1esqYM2cOunTpgilTpiQ/Yzt9zQcffIAf/vCH6Nu3L0pKSjBixAi8/fbbye89z8OsWbNwwgknoKSkBDU1NXj33XfTnrF//37U1dWhtLQU5eXlmDRpEj777LO0azZs2IALL7wQ3bt3x4ABAzB37lwt+sng6NGjmDlzJgYPHoySkhKccsopuPvuu5F6GijbSTMek5PFixd7RUVF3uOPP+5t3rzZu+mmm7zy8nJv7969pkVTQm1trffEE094mzZt8tavX+9ddtll3sCBA73PPvssec0tt9ziDRgwwGtsbPTefvtt79xzz/XOO++85PdHjhzxhg8f7tXU1Hh/+ctfvD/84Q9ev379vBkzZiSv2blzp9ejRw9v2rRp3pYtW7yHH37Y69q1q7ds2TKt+spg7dq13kknneSdddZZ3q233pr8nO30Ffv37/cGDRrk3XDDDd6aNWu8nTt3esuXL/f++te/Jq+ZM2eOV1ZW5r344oteS0uLd/nll3uDBw/2vvjii+Q1l1xyifdP//RP3ltvveX96U9/8k499VTvmmuuSX7f3t7uVVRUeHV1dd6mTZu8Z5991ispKfF+97vfadU3LPfcc4/Xt29fb+nSpd6uXbu8F154wevZs6f30EMPJa9hO+mFHWQevvnNb3r19fXJ/z969KhXVVXlzZ4926BU+ti3b58HwHvttdc8z/O8trY2r1u3bt4LL7yQvGbr1q0eAK+pqcnzPM/7wx/+4BUUFHitra3JaxYsWOCVlpZ6Bw8e9DzP8+644w7vzDPPTCvr+9//vldbW6taJal8+umn3mmnneatWLHC++d//uekg2Q7fc2dd97pXXDBBVm/7+zs9CorK7377rsv+VlbW5tXXFzsPfvss57ned6WLVs8AN66deuS17z66qtely5dvA8++MDzPM+bP3++17t376TtEmUPGTJEtkpKGD9+vPdv//ZvaZ9dffXVXl1dned5bCcTcIo1B4cOHUJzczNqamqSnxUUFKCmpgZNTU0GJdNHe3s7AKBPnz4AgObmZhw+fDjNJkOHDsXAgQOTNmlqasKIESNQUVGRvKa2thYdHR3YvHlz8prUZySusc2u9fX1GD9+/DG6sJ2+5qWXXsKYMWPwve99D/3798eoUaPw2GOPJb/ftWsXWltb0/QsKyvD2LFj02xVXl6OMWPGJK+pqalBQUEB1qxZk7zmoosuQlFRUfKa2tpabN++HQcOHFCtZmTOO+88NDY2YseOHQCAlpYWvPHGG7j00ksBsJ1MUGhaAMr8/e9/x9GjR9MGMACoqKjAtm3bDEmlj87OTkyZMgXnn38+hg8fDgBobW1FUVERysvL066tqKhAa2tr8ho/myW+y3VNR0cHvvjiC5SUlKhQSSqLFy/GO++8g3Xr1h3zHdvpa3bu3IkFCxZg2rRp+OlPf4p169bhxz/+MYqKinD99dcndfXTM9UO/fv3T/u+sLAQffr0Sbtm8ODBxzwj8V3v3r2V6CeL6dOno6OjA0OHDkXXrl1x9OhR3HPPPairqwMAtpMB2EEyWamvr8emTZvwxhtvmBaFHHv27MGtt96KFStWoHv37qbFIU1nZyfGjBmDe++9FwAwatQobNq0CQsXLsT1119vWDo6PP/883j66afxzDPP4Mwzz8T69esxZcoUVFVVsZ0MwSnWHPTr1w9du3Y9ZuXh3r17UVlZaUgqPTQ0NGDp0qVYtWoVTjzxxOTnlZWVOHToENra2tKuT7VJZWWlr80S3+W6prS01IqoqLm5Gfv27cPZZ5+NwsJCFBYW4rXXXsO8efNQWFiIiooKttP/54QTTsCwYcPSPjvjjDOwe/duAF/rmqufVVZWYt++fWnfHzlyBPv37w9kT8rcfvvtmD59OiZOnIgRI0bg2muvxdSpUzF79mwAbCcTsIPMQVFREUaPHo3GxsbkZ52dnWhsbER1dbVBydTheR4aGhqwZMkSrFy58phUzOjRo9GtW7c0m2zfvh27d+9O2qS6uhobN25M66grVqxAaWlpcqCsrq5Oe0biGlvsOm7cOGzcuBHr169P/o0ZMwZ1dXXJ/2Y7fcX5559/zFahHTt2YNCgQQCAwYMHo7KyMk3Pjo4OrFmzJs1WbW1taG5uTl6zcuVKdHZ2YuzYsclrXn/9dRw+fDh5zYoVKzBkyBAr0oaff/45CgrSh+SuXbuis7MTANvJCKZXCVFn8eLFXnFxsbdo0SJvy5Yt3s033+yVl5enrTx0icmTJ3tlZWXe6tWrvY8++ij59/nnnyevueWWW7yBAwd6K1eu9N5++22vurraq66uTn6f2L5w8cUXe+vXr/eWLVvmHX/88b7bF26//XZv69at3iOPPGLd9oVMUlexeh7bKcHatWu9wsJC75577vHeffdd7+mnn/Z69OjhPfXUU8lr5syZ45WXl3v/+7//623YsMG74oorfLcvjBo1yluzZo33xhtveKeddlra9oW2tjavoqLCu/baa71NmzZ5ixcv9nr06GHN9oXrr7/e+8Y3vpHc5vE///M/Xr9+/bw77rgjeQ3bSS/sIAV4+OGHvYEDB3pFRUXeN7/5Te+tt94yLZIyAPj+PfHEE8lrvvjiC+/f//3fvd69e3s9evTwrrrqKu+jjz5Ke857773nXXrppV5JSYnXr18/77bbbvMOHz6cds2qVau8kSNHekVFRd7JJ5+cVoaNZDpIttPXvPzyy97w4cO94uJib+jQod6jjz6a9n1nZ6c3c+ZMr6KiwisuLvbGjRvnbd++Pe2aTz75xLvmmmu8nj17eqWlpd6NN97offrpp2nXtLS0eBdccIFXXFzsfeMb3/DmzJmjXDdZdHR0eLfeeqs3cOBAr3v37t7JJ5/s3XXXXWnbMdhOeunieSnHNDAMwzAMA4DfQTIMwzCML+wgGYZhGMYHdpAMwzAM4wM7SIZhGIbxgR0kwzAMw/jADpJhGIZhfGAHyTAMwzA+xMpBPvLIIzjppJPQvXt3jB07FmvXrhW67+DBg/jFL36BgwcPKpbQfthWYrCdxGFbicF2kk9sDgp47rnncN1112HhwoUYO3YsHnzwQbzwwgvYvn37MT8Pk0lHRwfKysrQ3t6O0tJSTRLbCdtKDLaTOGwrMdhO8olNBPnAAw/gpptuwo033ohhw4Zh4cKF6NGjBx5//HHTojEMwzAEiYWDPHToEJqbm9N+ibugoAA1NTVW/TI7wzAMo49Y/GDy3//+dxw9etT3l7i3bdt2zPUHDx5My+MnftOvvb1dqZwu0NHRkfYv4w/bSRy2lRhsJzE8z8Onn36KqqqqY35eLJNYOMigzJ49G7/85S+P+XzgwIEGpLGTAQMGmBbBCthO4rCtxGA7ibFnz560H4P3IxYOsl+/fujatWvOX+JOZcaMGZg2bVry/9vb2zFw4EC8/85JKO0ZLCt91ekjwglNnCU7NjqrWzaW7Nh4zGdxswHjLn7tOxWZbT1fWX5lyxpzjuAw3sAf0KtXr7zXxsJBFhUVYfTo0WhsbMSVV14JAOjs7ERjYyMaGhqOub64uBjFxcXHfF7aswClvYI5yMaPNqO2aiSWf7getVUjw4hPktJeBSjs0s20GFrJrPvaqpFo/MitemXiS76xTWZ/DzOOApLGnP+/b6NLly55L43FIh0AmDZtGh577DE8+eST2Lp1KyZPnox//OMfuPHGG5WWmxg8XRtEE04/zrg26WEYJp1YRJAA8P3vfx8ff/wxZs2ahdbWVowcORLLli07ZuEOIwY7BziZGWAYipiakMcmggSAhoYGvP/++zh48CDWrFmDsWPHKi3P5SjLZd1EYefIMOoxOdbEykHqJjGAuuhI4uocUnV2tW4ZhhImxxp2kApJTcHxQOoGqZ01rpMEUbjNMzIw+SqDHaRCUp2jSwNpnJ1+XPUOimttPu6Yavemgwx2kAoxXbmqcNHpi5Kqdxz1F8W1Ns+Yae+ZQYbuNsUOUiGmK1cVrukTBBfrUxVsIzcwXY8mx1F2kIrIXMyR+ZnNxD2CTPxreuCwgTi2EZeg1NdNyMIOUgHZZjuuDKZxdw61VSM5kmSch0obTy2fI0iLyIwMM1c3ZjYu0w1NFlQ6jgn86pPC7JoacWsXLpAt06W6r+fKsGX2Md39rYvneZ620iwl8Uvd38IVybNVAX9HmO07F4mDjpnESVcmXugez4KUJ7PcI95hrMb/or29HaWlpTmv5QgyIH4bxXNFi6mfuTKrTtUx8a+tugWRW0Z9Bi3PVmxr87bIKUJYXXI5JBVZo8zxQ3RsBfTVF0eQAmSLIBOIzHJcizxc0ieILnGMmsNim41sk1cVudq4jghSdbkcQSokW5488a/fzNnF93Uu6RNEl3wz6XzPccVmItjWRmyTVxW5MkMyM2LZ1nCoLjfIb1FyBClAagQZ5PfIVM+EKOCaPkEJoz9lm6mQjbK+ujBlAxnlUpQ9ysKdIBEkO0gBwjrIbLg2YLimT1Bcc5IqiJu+frAN5BLWnpxiJY6q9FyYZ8ogbGpKtmw26S8jnafS5rJTxSL6Uk5vypDdRedoqs8BelLiHEEKIDuCTODajNI1fXTANrMHritxKNuKI0hLUDUDMjUTp7LIgYIMopiymawyKWQOdGF7FKwTKmNBVNhBGkZFpzPZOCnMGkVS2JQ6r8z6CrIaVwam0stRiNIO8tlNd/un1I4z0V3PKsriFKsAqlKsqahY6EE5zcG4hW0Llbhv6IOarTnFagG59vkEuSfqM0WxNbWkexFBkGfLWjAj654g96tov6Jly8D21LaMslTJonIcyleWbDiCFEBHBJnA5D40ajM93cjSn8pewqhyxLU9xFVvl8hVh7wPUjI6HSTAHZSRBztJhkmHU6yWo2q1nKyjmsIQpUxZaVKVKU2Vz8n3zFzlhN1zm+/+MM+Kek8Y/Nq8yr2gOtL3VF9n+GFa1qjlcwQpgO4IMgGVVB2FsimnP+OAzXazWfZMXNJFBSL24QjSEcLO3sNEFPmQMROM8rI+yL1R9ZcdQaqeReuoT9NbM6IQNYoOgmobpQ7+lOqDiizZFi6GlY8dJAGipMjynXyf7ZlBkblvTsa9UW0mWk4UMn+lIBcq9+bJvEdFulvXqtXM8lREYjqju8z6MOmkdE5CghCkD/rBKVYBTKVYUwmz5zHu6Rjb9LdFXlvkVAklG7AsweAUqwXITo2GiSRlQmGhhkn9wyC6L1BlmWGuU3XYPmVk1ZUKG1CTRWckyfsgCUAhgkxgwwyNGi7YzIQOLtiNCqZsGYc6DKojR5AOQz0qoogLNjMxyKkq0/a6CIMpJ+VC28+HSh3ZQRIl18t3FatbVaM6nZrve+oDhc2y2bYiNmrZpusq6MIckxGkLlup0pFTrALYeli5rHtkIbts2/S3mTCLxKI+UyXcDvRBzdacYrWQMAc3q/qpIVXRp+zIIcyCABP7IGXeI2txjOx2o6otqkJGO6CUpTG9SE5225BF1HI5ghTA9CIdFbP3qGVSeja1GWoYUnWgrI9tbU0FlORlWYLDEaRjqJi9Ry2T0rNNv9OSQerAQnl7jm1tTQVBD35QSbaTY0xgWz2KwA7SEDr2QeZ7Zj5UHksne6YpQ/8otpJtJ1WDsOh+PhUTMqppOBHCLAozgYmtQJnl66xH3gdJANMp1iDEfeEDBRkYN+G25QacYrUIl5bQU0g9UYxEVC8K0rVAQ9eiFGr1l0DnAi/boLRgSSbsIA2jInVK0UkkkDUD151ujoLI4ehRU+Eq70nIJvM4w6jp5SiotLXpFKcpTB91qQpOsQpAYR+kbfvMKGCb/rbIK0tOKvpSkSMslOSnJEs2OMVqAUFnW2HSO9RncKbSrVRsImPBjCpUROhUFrIkSI2MRa+VVaZMKB0ez4eVxxCdi3Tits+MkmyuRUa2Y5MdbZI1DuSqjyARJDtIAWxaxZoN7sAMwzCcYnUCV1a3JsqMspDD7xkqdaGcTjNRDvWVqrlSelHanyxZwtwvohOTn6i24ghSAFMRpGsLd6LIyxGwWWy0v61tJ5e8tupECY4gHSC1I2QjDgdEJwYBmXLrWrxAOWqxqd2IoqPtBJUhDKmOL9vCO2r1QUmWVDiC1IAL7yAz0TUD9SsnStmynxekHMrYlk0wgSwbqcjsMPrgCJLJi64ZqN9AEaXsbBuSZUNthp4P27IJJpBlIxM/HsBEI2x9sIOMMSb3CUZxarlSUDKR6XhF5YyS/rXx1CXdZcs6dYiakzSx55EaKuqDU6wCuJhiTSVISojTR8Hg9K/bcLqVPpl1wClWJhBBZlf5OrutM1VVC3P83l/JeGaYiMGWKMOmiJZaJJmKqeyQafL1lyU7Ngo/iyNIAWw/SSdK2XGaActaPEQlaox6j+66p9LWqNSfKijJoopcOvJJOpJxPcWaShw6T5zg1a3hcN0GrusHZNeRU6wxQtbJHQmoH/CdiYo9gCb3QUaVTUY6Nuyh6bL0pbBnMWwaO9/3qnRT0S5koqMsFTpyBCkA9QjStpSQ7GfHYTasAirRJdcfoxOOIGOGitmgyhmm7GerkpVq1CyLMAuI4rjnlLJsmdgkqw2wg3QEGYNMlBRFmNV/Mgmrf+o9UQ4goOigbdoTadpJymoHppGRGg4CpRW6KuAUqwDUU6yq4RSYGJx+jI7N+lKSXacslPQWgVOslkJl75rpF/pBkGUzGfrpTHUHKUfX4hldezxlkU9H01mRKIjIIsvOuqPWfMgsiyNIAeIeQSawbaYoA1k6x9F2DH3iFGkmyud9kJJx3UEGabimGznDMEwUOMVqgERYn/lv5n9TJIjDS02nUNdLNrnqOOgzXCcueopgoy1yjWMq9dFRLh81J5lEBHlgx8ko7VXg+6OlmZ+l/gu4F3m5po8ILtcnwwDIOZ5lXhel/WeOnwnyjZ8y+h2nWCWTmWIVqUCXnaTMxmobogMIw9iGyHiW7fqo5WV+ptJJWpNinT17Ns455xz06tUL/fv3x5VXXont27enXfPll1+ivr4effv2Rc+ePTFhwgTs3bs37Zrdu3dj/Pjx6NGjB/r374/bb78dR44cSbtm9erVOPvss1FcXIxTTz0VixYtCi13onJSKynzM7+KpLwaNAiZOsaFRH361THFfZAmy7TpFYMObFjFKRLRZX4XBb/7c/UtE+OO0QjykksuwcSJE3HOOefgyJEj+OlPf4pNmzZhy5YtOO644wAAkydPxiuvvIJFixahrKwMDQ0NKCgowJtvvgkAOHr0KEaOHInKykrcd999+Oijj3Ddddfhpptuwr333gsA2LVrF4YPH45bbrkFP/rRj9DY2IgpU6bglVdeQW1tbV45oyzSUTHzooZr+uSC65NxgaB1bKpN5Co3rEzWplg//vhj9O/fH6+99houuugitLe34/jjj8czzzyD7373uwCAbdu24YwzzkBTUxPOPfdcvPrqq/j2t7+NDz/8EBUVFQCAhQsX4s4778THH3+MoqIi3HnnnXjllVewadOmZFkTJ05EW1sbli1blleuqKtYRQfVfBVuopGKlkl1UNVlUxV2ipJSMl0ftsls2l4qkK2TaHukvnXEmhRrJu3t7QCAPn36AACam5tx+PBh1NTUJK8ZOnQoBg4ciKamJgBAU1MTRowYkXSOAFBbW4uOjg5s3rw5eU3qMxLXJJ6RycGDB9HR0ZH2F4VsqYSgKQudm3+DlJm4jkIqLYxNZcgdxE5BnxlmsDE92NsmM5X2KxPZ9hRNcaqsR9lp3nyQcZCdnZ2YMmUKzj//fAwfPhwA0NraiqKiIpSXl6ddW1FRgdbW1uQ1qc4x8X3iu1zXdHR04IsvvjhGltmzZ6OsrCz5N2DAACk6ZqKiU4ZtMLKchOlBJowMMuXWpX++ckzXQxRMyR62Hdhs67CY6uu6gwQyDrK+vh6bNm3C4sWLTYuCGTNmoL29Pfm3Z88eZWXJToGYliNIx5HdwTJf5gdBpv6iRK2vMLN4GwZzkxOtMHajMDE0AVW9ZY6pJBxkQ0MDli5dilWrVuHEE09Mfl5ZWYlDhw6hra0t7fq9e/eisrIyeU3mqtbE/+e7prS0FCUlJcfIU1xcjNLS0rQ/GzCdVksg2nFUpYBsQcUqQNVlpqIy2qJWlzJef7iIzRMxEYw6SM/z0NDQgCVLlmDlypUYPHhw2vejR49Gt27d0NjYmPxs+/bt2L17N6qrqwEA1dXV2LhxI/bt25e8ZsWKFSgtLcWwYcOS16Q+I3FN4hmMfKjOLiliq51Mp7NNYLPsOrG9nhMYdZD19fV46qmn8Mwzz6BXr15obW1Fa2tr8r1gWVkZJk2ahGnTpmHVqlVobm7GjTfeiOrqapx77rkAgIsvvhjDhg3Dtddei5aWFixfvhw/+9nPUF9fj+LiYgDALbfcgp07d+KOO+7Atm3bMH/+fDz//POYOnWqMd1NoHtvWtB0a+LabP9m/rcryFpFq+OeTHREsYm2ke8vca3fv5n/HRaRNh2knGzyp/6333c24EJUbXSbR5cuXXw/f+KJJ3DDDTcA+OqggNtuuw3PPvssDh48iNraWsyfPz+ZPgWA999/H5MnT8bq1atx3HHH4frrr8ecOXNQWFiYvGb16tWYOnUqtmzZghNPPBEzZ85MlpEP1w8rV02UrQ1x2HfI5Cdbu0htCzrbjsw2KCJvlC0/TDrW7oOkigkHqWKvka37zGQNdLr3dIaZGIS5TnW92twWczlSWc/O95ksbHSSpmX1K58dpGRMRZA2D0yyy6Y4848TNtvNpSyErXJTwtqDAph0RJby+31PdUl6lLKD6BpV/zjsiVSxuIbqHsJsh3LYqA/VxS+6+lRQopbLEaQA1N9BqogkdaSKqD7PBCZ0sC0DYYIw0adOG8WtPmTAEWTMULHcXuVMVfazVcmqc9ZrYiUrpW0aFKMiIHv0GfQeVVCNKF2BHaQhZKdvwp4Akoso7wvzocJJhpUl1zNVDj4yUp+pyNxyoWLyFKUtmiTsRMIPFe1JRX1EwSWHzSlWAainWPNBOQ1DWTaGUQG3ebNwipVJg3Jn5BQREzco90cmncL8lzBMeERmyyJO0rb9X4w8ok6gqLadMHpR08F1OIJkyJPqQDnaZIJA1TkCwZ0dZ1v0ww4yhuhenRm1vNQBjuJAx9Al9fQZagSViaqjdxl2kDFEZyeTfQIOxYGOoQ/FthOlX1DTxVXYQTJKkTEw+R1GzTAiJNoLxegrytYRarq4CjvIGGHCsUQdmFLfIVF+n8TQw6/tyMD0sWk8QdQHO8gYYSL6knH+auoz2DkyIqhsOzqe4/cdTxD1ww6SKKqO8zJ13qfo6Tqp/516r42pVdvkpYqII3Gh7aTqktlXbdPFFdhBEkVFRzAVQYqUnTko+A1wts2cbZOXKtnaTbb2YWvbySa3rQ7fBdhBEkZ2RzDduXKVnfp+Jd/MWbX8tg0+uuSlZpfM9kAh6pK1pSlbepidpF74LFYBbD+L1Q9ds+og5YjM/CnKreM5KsqxJbLKJFe7sK3tiMibK0pm8pNpqyBnsbKDFMBFBwnQHDBy3WNbyiyBbXa2HducpMhzTOriGnxYuQOkpk/8Uin50isi9+jqXGHSQdlW8Yk+L4zNVCFiZxmyhalPGbKFkV1lXfgt3En9TkYaVFSGqPjpkpp2pZRmpdTnZMERpABUI8i4zyBdi5goy5YP2+oiatk215VuqNmKI8iYoGo2rHImKHNGGTYyVRERyXiOKtl06KOqLlQR1dZhZVelr+mMigpbyZAharkcQQpANYJMoGL2rnLWJ/vZ1GaothBm0YcKW3P9uYEt9cgRZMyQ9Y4v6jODlG06khTB9vcn+fDbEiFyj2y7UHuXlgll2TIxKasNzjEo7CANITs9Q2ng0rmIIfV5UVMsuhcx6VgsEuQeUX1VtAvKTlJnWj4qup2U6YU52cqSJQOnWAWgnmJNxeaFD67IQB22ERNnOMVqEVFnpn5Rj6l0I4WZtgwZZC9qUV2ersUxuiIDKtGYH6bbN1Wo6x1WPo4gBVAdQYZZMGNykQ0FVNjMJJRlS0WWXeOe6ZAFJV1s6XN8ko5kKKRYbRuEKGCb/rbIa4ucotiuDyX5KcmSDU6xWkDQl9thUoc6Fz5QSNmZ1D8MoouCTOhg0x7AqOgc0FXYIGy7USWLzoU7qtsUR5ACUIggE9gwQ6OGCzYzoQPvebSfONg7qI4cQToM9aiIIi7YzMQgp6JMF+rCJuJgb5U6soMkQL6URJjUIbVOoTqdmu97EwNFlD2YYa8zsYJZ1ypaWZjYf6oKE3uOg6DLVqpSu5xiFcBUitW1laqy5eWFS/pwzW6u6UMZarbmFKulBI16VP3sk6qX7LqOmFNhM12Y2sOa7x6dB6nrsD/1dhAU04umVCzqogBHkAKY3gfJyCeIzbl+xLHNVrbJy0SHI0jL4A6qnyCzWq4fcWyLFmyTl9ELO0gN2NwBZS0eoYjMwVGFnWy0KWDfPknXnKTqPYcu2SofnGIVQEaKNQ6pHFt1lLXYx1b9VWGbPWyTlwkHp1gJQn2WKmPBAnUdsyHr9zR1HhRvwwKTuESSVOvC1AIo08jUkR2kRkR/sT0s2e6N4twSnwX5rUBTRLGdLOem6nc5g5aj+8ivXHLouEcWYSdL+erCBNnajUwoOlyZfZBTrAJQOmqOUYusNBun6xiGJpxidQDRF+JhFn2YPI1FdoQsO/1IOZLMhup9rSoXZ5i0ka59nbKhGLVRlAngk3S04GIEaWuEo0tu2+wT5tQl23SMiq6Tl6jalapcuuEIksmL6ZNEwj5b109CmdgCEoUw7yRtXVQVlrDvQ4P2E6p2jbNzDFsf7CBjTL4O4xdxyCxb9vNkIzPdqoOg9Zn4jOJgTkkmmXZVvUcx7PeuE7adc4pVABdTrHGHj5pTg222sk1eFcTNBkFSrOwgBWAHycRtEGEYVwniIAs1yeQES3ZsRGmvYFnpRGjv0uCaujfSNd2ykaprqs5x0T8obBf7yOzXqcju66Lpzsx+l/hMF/wOMiKJysr8N/HfmZXrArVVI53VLRemO6tNxKlduISfI9TR10XGz8S4oxN2kBHJrEC/6Mo1R+I3u4wDrtanCthG9pEtS+L3ncpyE1Dob/wOUoDEO8gDO07Om2LNlopwLeXkkj5hFuy4pL8qbLORbfLKJtUBqR7H8jm7bOXKKJ/3QSokTErVtdm0a/oE6XBRZ7Su2CwfNraRODvHBPlen8iyUbbxM/Fv6ulNJiNJjiAFSF3F2vjR5pypCCD3bMe1Wapr+uRCVn3GyWZA/PS1GdHxLGqdmhw/eZuHZMJs88hVka4MGJxu/Ap2kvmJm75+2GwD3ZN9lU6SU6wEyFWBqtIEUZ8Z9OQP0y/QZSBD7jD6i3RwEzaVVWaY1JzJNqSjbF3OMZ8uYXTNTHsmPlOFXwrWTxbVcAQpQNwPCrB55iuCzIUHsu3kuu0zMamvS7ZWpYsLr404giSKipmdLEQixajPoYqsGanKJfCZUGxLYeTMxGQ2QtXCKxP6qLJjtoguH6psIKPN5YIjSAF0RpAmoxDbZoKyoRxJ2iyHbfA7ZXGo6p1LLl6kI5m4p1jjhGtOkgkH15/9ZKtDTrE6QOYL8XzXmXqm7LJz3Sv6XbbrRcqmnG4FwqWUoqahotSd6LNV4Se7rHagOr0XpFzTUJRJRh/kCFIA1yNIm2bLNskK0Fm4Y5vdbMGUXbk+xcm0FUeQDqFi0UAmNnW0sDP7MFCNJMMs3LF5K45MZPensIuookKtPinLEsVWZBzknDlz0KVLF0yZMiX52Zdffon6+nr07dsXPXv2xIQJE7B37960+3bv3o3x48ejR48e6N+/P26//XYcOXIk7ZrVq1fj7LPPRnFxMU499VQsWrRIg0ZyCOO8gtwTJtVmmnz6yT4OS8ZzVDjJoOXkOrhCFlTaSDZU9CdTe/VU9fMwUJhk59qfGbY+SDjIdevW4Xe/+x3OOuustM+nTp2Kl19+GS+88AJee+01fPjhh7j66quT3x89ehTjx4/HoUOH8Oc//xlPPvkkFi1ahFmzZiWv2bVrF8aPH49/+Zd/wfr16zFlyhT86Ec/wvLly7XpR5kgDZtCJ7AVXTN+VYcWmHiW7VCyBSVZVBF2gpgL4w7ys88+Q11dHR577DH07t07+Xl7ezt+//vf44EHHsC//uu/YvTo0XjiiSfw5z//GW+99RYA4I9//CO2bNmCp556CiNHjsSll16Ku+++G4888ggOHToEAFi4cCEGDx6M+++/H2eccQYaGhrw3e9+F7/97W+16ahykYMsokaSlHXLRRS5Ve/xy9VuqKdTbWjzqahsB6ZsoKqfUtInE9lt37iDrK+vx/jx41FTU5P2eXNzMw4fPpz2+dChQzFw4EA0NTUBAJqamjBixAhUVFQkr6mtrUVHRwc2b96cvCbz2bW1tcln+HHw4EF0dHSk/UUh9dgkqgNG1EjS1hlqFLnDRmui9+Q7bkvkXlPY0OZTidoOVD07Cqr6qak6FS1Xpr2NOsjFixfjnXfewezZs4/5rrW1FUVFRSgvL0/7vKKiAq2trclrUp1j4vvEd7mu6ejowBdffOEr1+zZs1FWVpb8GzBgQCj9/LBlwGDEUO0kXSBu+lJD1Yk6lJ2kLIw5yD179uDWW2/F008/je7du5sSw5cZM2agvb09+bdnzx6pz1d1fBiV1KdombJlM6V/2IUfUWVTucJZdtrQdicpyx6mnIqq55pawasLYw6yubkZ+/btw9lnn43CwkIUFhbitddew7x581BYWIiKigocOnQIbW1tafft3bsXlZWVAIDKyspjVrUm/j/fNaWlpSgpKfGVrbi4GKWlpWl/svFrXFFTNVRSn6JlypaNiv6iRHUaKlc4i7Q1l7cTZSJrAYjNNvDD1ApeXRhzkOPGjcPGjRuxfv365N+YMWNQV1eX/O9u3bqhsbExec/27duxe/duVFdXAwCqq6uxceNG7Nu3L3nNihUrUFpaimHDhiWvSX1G4prEM0yi87QVE1B+mU8F6pFkLlQd7k0VlwZ+1bhiK2MOslevXhg+fHja33HHHYe+ffti+PDhKCsrw6RJkzBt2jSsWrUKzc3NuPHGG1FdXY1zzz0XAHDxxRdj2LBhuPbaa9HS0oLly5fjZz/7Gerr61FcXAwAuOWWW7Bz507ccccd2LZtG+bPn4/nn38eU6dONaV6GjKOtJK5MVYmqbPLoEd95YPi5u2wmIokw6QFZbQ10+0zqq0ptSPKslCzVRhIHTX3rW99CyNHjsSDDz4I4KuDAm677TY8++yzOHjwIGprazF//vxk+hQA3n//fUyePBmrV6/Gcccdh+uvvx5z5sxBYWFh8prVq1dj6tSp2LJlC0488UTMnDkTN9xwg7BcFI6a4+PFjiWffrbpb0JeWWXGrX1Skp2SLH5Qk49/zUMyFBxkNqI2Pr/7dTVoGeW4NjCrcPq6JhK21UVUu4T5XpW+lGQRLd9UuewgJWPaQboWKTG5oVyfKmSjrK9NmLaj6fJF4cPKHUPFikKGLpTrU4VslPW1CdN2tME5BoUdpAao7sUTQXQBka0DnCy5Ze+DMzXYyTqpJE4LdygRdtGfCJT6ui4ZOMUqgOkUq2lsSZ2YhtOP0Ymbvqow9a7TBjjFaikm90SG2TYRphzd6DzhRIWdVJ26lA/dkXUCjiTloKrPUtv7qno7F0eQAuiMIE0uyHFhduiHC3rpWiGaeo8LdqMCpVWcrtVrUH14Fatk4p5iZWhgYhuFa4OpSSg5yTjDKVYH0JUa1HXijM4Ui24ZZJYnO9UdNdWmOuVJOaUZNUXpVxeqMFmHVFAxlnEEKYDrESTPMNXBC3fchvco0yezDjiCZAIh84W+rTNVVYtSMm0rI6qUcX6v6D0msGmRjsivfJjSR1d2iBph+ks2OIIUQEUE6XJkYeu7Ft1ym5BXlo4myzYBR4r+UNU7l1y8SEcyrqdYGXuJm6OiTFztapvenGJ1ANFTK4KkUUyehCGjbJMLl1Q+J0p5On5uymS7kYWOOtWVTqVWH5QXAfEiHQ24GEHqmvXJLsdWuVUTJgVom45RkRVtc7rVbjiCZPKia9aXbaAIW7ZOuXVHklEQWSwS9B7XkBVtU1mYE6e6i0pYW7GDJICphh72GDNZZeu+N8zgKANdzjZMfbKTFLsn6HN02DVI+6S0ktZEWWHrg1OsAriYYmX0w+lhhlGLSNvnFKul2LT/K9v9tkYjlBdxxC0qtK0fUN1fSqkNqJJF5p5HPziCFIDSYeW6y45TNGJyj6CKZ9q2L5QKruvtun6AvH2QHEESw+TsP9uChLgg852jbHRs50iQuCdOdZ+K7RF4PlzXD5CnIztIggSpXNl7/lQv3JHdMSmnxGTLpuuw8rArj1XUhUpk2zro9zKRVcc2oyLdyilWAXiRTvygnG4NUw7v3QuHidS2KqjKpZpMvTnFygTG9ZRLUGSlaFSls4JGBBS2JdiIjKidil3jWsdR9GYHaQhqqUGZG/ptXbWnKg0l+7CExDNlv5NUva/O1sE5zOQi1ZaUojYVi8dEPjNNWL05xSoAp1jtIW5pJJdSgIyd2NaeOMVqEdlmW6L7CsPM4KgujJCBjDSS7kU61CLJTGzf4wroq1MdNqJWH5RTt7xIRwMuRpC6Fm3I3lupa6+m7lmxiT2Lts38oyLLRpQWPMWtDmXAEWQMMfk+Kl85QcvO9zwdS9Z1z4qjlmdin6RtuHQOq4my4khgB7lu3TqMGzcOZ511Fq6++mr86le/wksvvYTdu3erkI8RJIyTiNth5WHK0Zlujbr3Ttdh5TYv6NJ1AD01J2l6MY3O1LNMGQKnWIcOHYqBAwfi8ssvx65du7B+/XqsX78eBw4cQO/evfHJJ58EFoI6LqZYXYLTTPmhlBa0CbaLWyz/cD3GnXCmuhTrnj17sGDBAjQ0NOD+++9HY2MjPvnkE+zatQuPP/54aMEZs5ieYUYhjmkmFSn1uNlQBNtO1MkHJVlMUFs1Ekt2bBS+PrCDrK6uxgcffHDM54MGDcIVV1wR9HGxg2oDzfZuz5bOb3qWr/owABnvXaMeJhAEihvlwyJit3zfU0lnRpGFUj1GkeWq00cIXxs4xfrKK6/gt7/9LZ5//nn06dMnsHA2EqcUK6+GdAsq9clthJYNKMkSlrA6KF3F+p3vfAerVq3C6aefjkmTJuG///u/0dzcjEOHDgUWNM6o2L8oI00aZgFGlC0bqqGcOta1TzLMPbLbGsUUrokFQi5EkmHKVVGWDnsGjiB37tyJlpaWtL/33nsP3bp1w5AhQ7BhwwZVshqD0u9Bqpz5uTCr9MMFvUxEgi7YjWEyCRJBSjkooKOjAy0tLdiwYQPq6+ujPo4culOsPDAxfphoF9wWGdfQflBAaWkpLrzwQiedowlUrZwzmeKSXbbKPXc69z4GuVbmvlXRe1Qt1NLVFlX2A919LPFsaqnqXJiWNWr5fNScAKYW6ahIt5qMCChEIxRksBHX7GarPrbKTQk+as4Rwu5di/pyXtXMOOpLdVG5VOgfBpNRUr7vZe+jDPPMsPeEQdcWJtX6UHWOVLeDcQSpAdPbPMJEkpQXaMh+tgr9dZMqL2XZZclmi77UoWRH0+WLon2RjuuYdpCAGSepEnaSudElO5U0vc11xXyNDfXIKVYLkJ0aDHsSjilky2ab/kD0vaUyUoBh973KTj9SH1RlpRApt8cwiPY5nXsuZcIRpAAUIkjbsGEmSQGb7UQl+mToQbmeOYK0CBUzIAqzVOrRGxVstpPO36Ckgs2y64TSqUFRYAdpGJGUhIqVmjpInUHq3gdJbR9oLqjUVzZktzXT+kYp27TsmVCWRfdvYqqAU6wC6EixcroqOK7pb7M+trVfm22dCXVdqMnHKVYLCbMvS+deLop7A1UsFokKxehEVrStK5LUEXWY+ik3Fc80ubdZBGpRdxA4ghSAF+m4R5BZrYwZMLVZtCps09M2eZnocATJMHkIMquVMYDGZRC2LVqIS70w4WAHKYlcKQybBgwR/BYQ2ahj0ME8U9d8C6lyPUP2tbKQUaZtThKws/1mI4ouudq27r4uo79FhVOsAuRLsSbSNLnSNZzKoUuYdCvXZ35ss5Ft8uYiyqIpiuOYzHI5xaqZRMXlWnRg46w6LgRNt+aqT12LpmzApjavso+asEHYRVOp/wK5Fwbq1MtUW+IIUgCZi3RcmqUC7ukTFNu2N+RDhWyU9dUFpcjLhfpI1SGoPnxYuWRkr2J1oYEyX8NO0swzbYOSk4wznGIljqr0nMm9TmGQLZvJPXVh7okqm6p0rYo9gjalW/2QYQ9TNghzIL0oMvbQyi5fJhxBCsD7IINDadZKSRaXcC1yZuShs55Vplg5gjSMq4s2KEUMlGTxg7JsubDxHNao2Cy7TnSfw6qqLHaQhglzWDn1o6USUDqsnPLATFk2IHpbzMS0vlHKNi17JpRl4cPKY4Kth5W7ns5yTT+b9bEt3Rq1bEp1RUkWP6jJxylWC1Gx0EPkmbpfssucUao6rNyUrjoPnw/zzHxtTZa+uhZWRbELpSwOJVn8MBl1Ry2XI0gBTC/SMREpUpv15cImWUWgrE/c2xo1ouwHVCkLZTiCdIx8jU7FDE31rI9CJEkVyvrY2NZcJnVsMG1H0+WrgB2kISgOMlFesodJr8lEVbpV93MSUB5sVEQJpvXNtRDJJnTb0W/MMFGuKow7yA8++AA//OEP0bdvX5SUlGDEiBF4++23k997nodZs2bhhBNOQElJCWpqavDuu++mPWP//v2oq6tDaWkpysvLMWnSJHz22Wdp12zYsAEXXnghunfvjgEDBmDu3Lla9MuGqkFG9v2iHY5CaiXse1xZZcfJSarApL6ZkZjNuLLFIl+5OjDqIA8cOIDzzz8f3bp1w6uvvootW7bg/vvvR+/evZPXzJ07F/PmzcPChQuxZs0aHHfccaitrcWXX36ZvKaurg6bN2/GihUrsHTpUrz++uu4+eabk993dHTg4osvxqBBg9Dc3Iz77rsPv/jFL/Doo49q1TcfJqMZWUv5KQzophYs6HSSuhYaBUFGBK9zwJXVDii0+UyoOUlVsqhefGR0kc706dPx5ptv4k9/+pPv957noaqqCrfddht+8pOfAADa29tRUVGBRYsWYeLEidi6dSuGDRuGdevWYcyYMQCAZcuW4bLLLsPf/vY3VFVVYcGCBbjrrrvQ2tqKoqKiZNkvvvgitm3blldO04t0bMOWl/UiuKSLTVCzu0x5KOmmUxYqeluzSOell17CmDFj8L3vfQ/9+/fHqFGj8NhjjyW/37VrF1pbW1FTU5P8rKysDGPHjkVTUxMAoKmpCeXl5UnnCAA1NTUoKCjAmjVrktdcdNFFSecIALW1tdi+fTsOHDigWk3jmDwgwHZc0sUmqKWXZbYDSm1KpyyU9BbFqIPcuXMnFixYgNNOOw3Lly/H5MmT8eMf/xhPPvkkAKC1tRUAUFFRkXZfRUVF8rvW1lb0798/7fvCwkL06dMn7Rq/Z6SWkcrBgwfR0dGR9mczNjZMhqHmJJn4UWiy8M7OTowZMwb33nsvAGDUqFHYtGkTFi5ciOuvv96YXLNnz8Yvf/lLY+W7hGhaRXRTNjv7eBHVSVJuO6ZXfjP5MRpBnnDCCRg2bFjaZ2eccQZ2794NAKisrAQA7N27N+2avXv3Jr+rrKzEvn370r4/cuQI9u/fn3aN3zNSy0hlxowZaG9vT/7t2bMnrIoMoqd4OYpgwkLlvZcMuB/ox6iDPP/887F9+/a0z3bs2IFBgwYBAAYPHozKyko0NjYmv+/o6MCaNWtQXV0NAKiurkZbWxuam5uT16xcuRKdnZ0YO3Zs8prXX38dhw8fTl6zYsUKDBkyJG3FbILi4mKUlpam/THhcWWAYuzDpTQt9yP9GHWQU6dOxVtvvYV7770Xf/3rX/HMM8/g0UcfRX19PQCgS5cumDJlCn7961/jpZdewsaNG3HdddehqqoKV155JYCvIs5LLrkEN910E9auXYs333wTDQ0NmDhxIqqqqgAAP/jBD1BUVIRJkyZh8+bNeO655/DQQw9h2rRpplSPFa4MUIx9cATJRMHoO8hzzjkHS5YswYwZM/CrX/0KgwcPxoMPPoi6urrkNXfccQf+8Y9/4Oabb0ZbWxsuuOACLFu2DN27d09e8/TTT6OhoQHjxo1DQUEBJkyYgHnz5iW/Lysrwx//+EfU19dj9OjR6NevH2bNmpW2V5JRh8wByqUBj2EY2vBh5QLwPsjwiC6QEJ0ds3OMH7xI5yuoyW8r1uyDZOKBjI7NgwMTBpcyDpxi1Q87SEY5UTu2SwstGL0k2o4LTpL7gX7YQcYICgdBh8GVAY7RS6pzdMGxuKSLLbCDjBG2OpnUQYEHB0aUVIdCse0HlYmyLq7CDjKG6HQysn6nMjEo8ODABIFy1BVUJnaO+mEHGUN0djJZnZryQMfQh2LbCdIvMq+lpoursINklCJjYEoMDuwkmaAk2gvF6CvI1qbMtk9NF1dhBxkjTP2IbpTOnDo48DsYJgh+bUcGuvtR6vt3niDqhR1kjDDRuaKUmW3mzAMEk4rfhEll1KXyObnetfMEUT/sIImiwgmY6FxBZr2psmUOcDaml1xx5Kb18HMaqZ9ltutcbYca+eTO9h0jRlRb8VFzApg6ak6FQzM5A81Xdur3fgOcLY6RkYtfG8jVPmxqO0HltkEn6vBRcw6gYrZocgaar+xs35uYOdv2ripMObrukUXqezi/d3I2t53UeyjqFGc4ghTAxcPKdc1Aw5QjMoNWjW0z9Ch2dgmX2o5NkbBNcATJ5EXXDDRMOSILFVQjcyCibGfXohBdbSfXc2SVk+s9az4ZmHTC2oodJAH8Ki8z7SJyT5DvAX2LXWQPxCLPC2Mz2QRZVCRrQA07GcmFjLYm4x4ZyGiLIpGc7L5lcrIYBZ3y5erzYeuDU6wC6EixxiFFJlveONiMCkEWWMl6pkq4HeiDmq05xWoh2WaDUVM5smb3piIc2c9TZTNZqChbRhvIZzeZdUElJU2lLlQ9V/YCwGzYEOlmgyNIAVRHkNRmWHEgiM25fsSxzVa2yctEhyNIy1DVQW2dtclC1qyWB1BxbLOVzdENox52kBowuSAhKqKyUxxkRBZS6N7zGKQ8ijYVJXWvYtB7dOOak1SdxqVgK10ycIpVABkp1jikcmzVUdYCE1v1V4Vt9rBNXiYcnGIlCPVZqqxtI5R1zIas7RGq9Fe1zUc1Ye3hWiRpSh8KW51MIFNHjiAF0HmSDrWl73GaVcs+AcU0VOQQhYq8tm1ZCYpMWanqnUuuIBEkO0gBXDxqLhtUG7xtULEjFTlsg+1mP9nqkFOsDmBqcYzqvWmy5VWRwjO551O2bDoXItmUTs1XNuX9shRT7hRSt0H37orAEaQALkaQ1FK51LBBxlTCnHST+plt+urCpXQrVbl0wxEkkxeTM2QViyF0RdJhoHAyjN/3qYOlrQusVBOmn1C1JVW5dBBWb3aQhtCVfss3aOYi7GzTxIpXFZ1f1mw723OiypvL4WWTI0p7yFW27HsoDeRRJx+pmNZLdgRpy0pZPqxcIapSrCpSHpxGsQuuL3vgunIDTrFagqqoh8oMjtIiBqrI+vklHfdQK1s3lPqWDbhgK3aQhpGRxgyaavO7RwVRV8Tmui5MqpBqh4068Kr6VRPqZecibNvJh8l397akMxO4EG1zilUACqtYbU7HqirHtZRXVH1sW3Fpomxdh0HI1i3X81zrB6rhFKsD6Hjpr+v3+FRFDNRTXioiqzB796ju9zNRf7IWIoVZuBOFXHJT3rOpExVjGUeQAlCIIFXCM1B12Bz5M/nRHUlGgZIsOsnUmyNIJhC27flTgazZZ749cbre+4XRh0rdUZEjAaVIMgqUZFGJzH2p7CANoaKhZnum6L5EGZjshLLTzWFsIrIhP4HKxSJhfm2Eyj5I01FO0AFWpl1VE4d9kLL6MsApViFcT7HmI66pGRvguqFDXOvCNr05xWoR+aI+mak00WdmImvVX5iy/Z4h6zpV98t+Ti5UHYrud63pyCAKlOsiKNTqg3LqlhfpaMDFCNLkFo8oZdu+NUUVYRaL2KZjVGRtg7FpYQ5zLBxBxhCKm7UT5cgsW6fcLkWS2d7LUJ35q0DWoQZUFubEqe6iwot0Yo6sBSWAvgHdxL1By9G16jSByn2QsicrMqC8DzLXPRScZJAFX3Fwpirqg1OsAriYYk2FU0J2wfVFB0630of3QTKRCDq7cnE2qiudGrd9kLa1FdmvKkxH6JnIlIWSXqnk2+KxZMdG4WdxBCmAzAgy6oxS5YxU1iIGRj42L07iNmLOBq4uzkrVIag+QSJIdpACyE6xutBAma+x2XnpKofbPDtJKnCKlThhDx5Xvd8tyj1hkFGO6rShyP1RtqwEKY/S4qQwslM7dUX3awWV6dag7Ua3LCb0lgFHkAK4vkjHJHGeyTLZcblduKybDXAEyVgDDxSMHy63C2oLd5jsFJoWgGGAr2fVqf8Cbg+UjBiiaW6b2k4uJ5mpS+q/jF44xSoAp1jDI9qxg8yoeaCIF1GiLcoOM8yWEiY6nGJlSCEzncSDBBMElyIvTsvqhx0koxyZAxQPEkwYXHGSCbgf6IEdJKMUGQsSsv3gMMPkI9H+XHAolNPFrsIOMkaYGCRkpLhcSpMx+nBtcUvmIiRGPewgY4SJziVjcHJtoGP0QH0FaFCZKOviKuwgY4SNnctv+T7DiEC97QSVibIursIOMkaYOgcy6v3UBzqGJtTbTpQIkpoursIOMobo7FwyOjP1gY6hC+U0q2g79vvVCmq6uAo7yBiis3PJHJioDnQMLXQfzh0WkXacrc1T08VV2EEySpG1zSN1eTsPDkw2MttH5hYhWW1Hxy/RJK7Jdowe9wP1sIMkiorGb3KbR9CfjUpNJUX5cVQmOqYHYr+0YuZn2dKQqbLLajuynlNbNTKQTjadNesKfBarAKbOYnXlh2tF3wPl+mFXdoxmoWp/v/Zh60HfueS2TRfK8FmsDiDiTMI+08ReSJGy8znHzGhAFZTScKrKCXIP5UHZz2lk+zWMoOi6J0Eup+6ni+nI3gai2ogjSAFc+jUPyoNdApciSdvktZ1cbYcyQdu8DTpRIdNW1kSQR48excyZMzF48GCUlJTglFNOwd13341Un+15HmbNmoUTTjgBJSUlqKmpwbvvvpv2nP3796Ourg6lpaUoLy/HpEmT8Nlnn6Vds2HDBlx44YXo3r07BgwYgLlz52rRMSqyZ4k2vNzPtQrRBvlT0SFvmIjCJhsGId8KVop1AWSXO/Gv37tUV+tQNlFsZdRB/uY3v8GCBQvwX//1X9i6dSt+85vfYO7cuXj44YeT18ydOxfz5s3DwoULsWbNGhx33HGora3Fl19+mbymrq4OmzdvxooVK7B06VK8/vrruPnmm5Pfd3R04OKLL8agQYPQ3NyM++67D7/4xS/w6KOPatU3G/nSjn7f50s3Bkll6iZsY802YIiWYWpAEbF31NScaDmp98hKIUZ9jo56CdJ28iHSt2T3sVwL2KhAqc9lErY+jKZYv/3tb6OiogK///3vk59NmDABJSUleOqpp+B5HqqqqnDbbbfhJz/5CQCgvb0dFRUVWLRoESZOnIitW7di2LBhWLduHcaMGQMAWLZsGS677DL87W9/Q1VVFRYsWIC77roLra2tKCoqAgBMnz4dL774IrZt25ZXTgop1jApFcppGB2yUdbfD5MLqEw8x7b6SYWS7JRksQFrUqznnXceGhsbsWPHDgBAS0sL3njjDVx66aUAgF27dqG1tRU1NTXJe8rKyjB27Fg0NTUBAJqamlBeXp50jgBQU1ODgoICrFmzJnnNRRddlHSOAFBbW4vt27fjwIEDx8h18OBBdHR0pP2ZJlsHCBN95rtf14xe9V6yMDaLcm1UwtZXPqK2ERHCPMd0BBTF1pT6FiVZgpRvQ7lGHeT06dMxceJEDB06FN26dcOoUaMwZcoU1NXVAQBaW1sBABUVFWn3VVRUJL9rbW1F//79074vLCxEnz590q7xe0ZqGanMnj0bZWVlyb8BAwZI0DY8UdKlYb7XNRuVtZdM5T26Z+ZBV/qKPjPK96mokI1q6tumvhWm3ajYQhakfB1ELdeog3z++efx9NNP45lnnsE777yDJ598Ev/5n/+JJ5980qRYmDFjBtrb25N/e/bsMSqP6ndYOp+pCptkzYfpyCoXKgY6yvrahGk7upjmNeogb7/99mQUOWLECFx77bWYOnUqZs+eDQCorKwEAOzduzftvr179ya/q6ysxL59+9K+P3LkCPbv3592jd8zUstIpbi4GKWlpWl/UdC5CEH2M1Wk/FQQVn+qex5NDXam7GF6cKfSjqOiss9SspEuWYw6yM8//xwFBekidO3aFZ2dnQCAwYMHo7KyEo2NjcnvOzo6sGbNGlRXVwMAqqur0dbWhubm5uQ1K1euRGdnJ8aOHZu85vXXX8fhw4eT16xYsQJDhgxB7969lemXwOaZlYqUHyVkya9igDd1qIOs59jkJG1vx6mo6rOmJzGp6JLFqIP8zne+g3vuuQevvPIK3nvvPSxZsgQPPPAArrrqKgBAly5dMGXKFPz617/GSy+9hI0bN+K6665DVVUVrrzySgDAGWecgUsuuQQ33XQT1q5dizfffBMNDQ2YOHEiqqqqAAA/+MEPUFRUhEmTJmHz5s147rnn8NBDD2HatGmmVPfFZJo0aoei0nEykaG/KCpm7yLbfGSUI/t+wD4nCdBtx0FRFUnqPJUo3zPC9o0gGN3m8emnn2LmzJlYsmQJ9u3bh6qqKlxzzTWYNWtWcsWp53n4+c9/jkcffRRtbW244IILMH/+fJx++unJ5+zfvx8NDQ14+eWXUVBQgAkTJmDevHno2bNn8poNGzagvr4e69atQ79+/fAf//EfuPPOO4XklLnNI+qSbF7SHRwXbGazDjbLLgtTNoiD7YPqGGSbBx81JwCFfZCpxKHRy4aazXjfYPxgJ6mOIDpasw+SCYfMxm56f1RURGWltoiH0r5WHQtzZOxJ1U1Uu4nWuQx07HWljKqUMkeQAlCLIBn1uDbrdk0fXeSzm012tUlWVSz/cD3GnXAmR5BMMFyfYeZD12yf8jaKuLcBQHwhiOj3fs80RRwiyXzUVo3Ekh0bha9nB8kA0LMijDJRHaKKVG/qM8M48KD3qBpAbWpDfjaQcaIOlWPdXHGSUXS46vQRwtdyilWAOKVY47Z4xHW4PulAya6UZAlLWB14kY6lUFiAESaSNLkARoXNTCJb3rCRpoq9btTqwsQhDKrKDNNnqUS1YdGhA0eQAsQpgsyFC7NOxg64relBp52p1ClHkIwSKDRuE1COOF0lrm1NNzojSRvrlB0kw+TBxo7NMKK4snBHBYWmBbCJJTs2orSX+Jwi0fBcHWBd1s2PxCCSOqDESf+gxK192IyIk1R9QEmuck21JY4gFZKoVBdnZy7rlotM5xg3/UVh5+gWptp6qnM0UT47SIWYrlwdxGkQ9JvJxkn/ILjc5uOGyQgudfzkCNIxTFeuKlL1itMgmFmfcdI9KK61+TiT2d51tnvT/Y0dpCJqq0Yar1xVpOoVt0HQ1UmPbNg2buCXLdFZt6YnpewgFZAaXaU2KlecpItOPwhx1z8IbCN7MT3BT4ydJp0kO0jJ5IouXBlUTXcck6RGzXHUXxRe5WsvFBxTtvf9ujM37CAl4ZdSDXPwsS3E0Ulmq8+46B8EV9p53Mh8fWLCSfqVm/mdLvioOQFEjprzm9m4+r4qVR/bdQwit5+uKvU3YVNZZdrWHmyTNxdRdNHdxoPI4idTGIIcNccOUoAoZ7Ha7kCYdHLVpytOUhY2y247sm1PxUn6fRcUPouVEC6mIv30sFW3oHJH7axByrO53dgmuy1yihLV9tleDZl8F2ni9QZHkALwr3kci64IijphdI6jnRi3MH1wQBQ4giSKS7NUXrDyFWF0jpOd4qJnLly0gcmtH7zNw1FSZz4qKln3M6ltZYlabtj7/SJpkXtMyCurbkSfE6TNU3EkYV4hBO0nLpCtDauuR5E2JUsGTrEKEPcUK6cExbBl1Snl+qQsWz5slj0KtunNKVaHCDNzlT1TlxkVyp5dqtBfdiSpckatM8Wrcw+cDij3E5sQ0dvWrBJHkAKYjiDzzdDiuGAm354o2/SXtcdLNbJsbYu+1KFkR9Pli8L7ICVj2kEC7CTDEHf9VcH7PZls2FCPnGK1gKCpwXxpDNOrSimk7GxbVWtCNtEyo7TFsM+kjKwUIuX2GAbRPqdKb94HSQBVEaQNs62wuKybTGy2k2sLhBh5UK5njiAtQVWEQ2GWSj16o4LNdorjHlCbZdeJ7npWVRY7SMOIpCRkp2N1oXLfp4rVvaagvEo43zNtdJJRyqYWFVFt04DeelZVFqdYBdCxSIfTVcFxzWaUZcuHbXVhs61tg5qtOcVqIWH2Eqnaf6Qy+pI5y1NlsyhEjU5k2T7IPaJl5spqyKwL1/ZbpqJzsYrOvYlR24aMcnN9FhaOIAWgsM2DAtRmgoy7cFvTg047U6lTjiAZJVBo3Ew84LamB512Nv3uOQzsIBmGYRgtUHCSS3ZsFL6WU6wCJFKsB3acjNJeweYUrs6EqaRLdJLt3Urc7MC4ST7HJbOdh3WSMmTgFCshEg3B9KxJNhRmgqZh58gwbsMOUjGJAdS1gZSdA08SGEYXpsYadpAKSR1AeSB1Byq/nsAwccDkqwx2kApJVCoPpO7AUSPD6CV1HNUNO0iFpDpHHlTdIHWyw5MehlEPR5CO4upgGmenz2lzhtELR5AxwKXBNM5p49R6jOskgYkfpvu6KSfJDlIxiQp1aTCNcwSZgNPnTFyg0sZN9Dd2kIpJrVAqDS0qcXYOqTPpOEfS+Yhbu3AV03099RWVif7GDlISfpXmV6GuDKamO44JMuszbvoHwZV2Hjcy10xkrsTX2db9ytXdrthBRiC1Mfk5QlcH0MyIOC6DYbb6jIv+QXCtzceBzDFLl5PMtpDRpHNOwA4yAFedPiL5336NKfFvtu9cweSMziTZBhDmWFxr83Eg13gGqJkQ5+pTFMZRdpABSD0FPnWpf65UgItO0jV9RJHRWeNis7i2EUoEtX0+h6SiTrM5ZVGZVMO/5iGA6A8m56tsl/DTzWV9gXT9otSx63Zi3CBXG1fZhkXSvFHgX/MwRD7n6NJsOo7v4mS9Y+bIirGBXG1cZRumtKaDHaRk/F4427zNI5e8Nuojk8w0eph7c2HCtrLKzEzN6Sw7DKrL1qlbvrKCyJKrjaucEGfbFZBNFlVwilUA0RSrKK6l2FzTJ+5wfdpPvjoMW8eU2kZYWTjFSpxsM6CoM78wz5QBlUjSlP6qy9O9GEikPlXKRKEtqUKXbvnqMGyf9Vu4k4mufhh2HA0CR5ACyIwgo87AKM3gbMEFm9msg99ii7hhSu842DuojhxBEiZqY6USrdmECzajOsiJ2NVvsUXcMFV/Ju1NJVqOAjtIAqhY4BGlbJsGMFFZTQ/MKha/iH6vIl2aIExbNO3sZaV6VdpVJqbavs5yVb0W4BSrALIX6YgSh/RInNBVn9xumLgi0vY5xeoIOgc5WbMvKrPmoKiM8KJu8wkaFZqOlqNiW6RPNZKk1AZUyaJ6fyZHkALojCBVzP5Fn2l75EFlARSVSNH2+jRFGLvF1dZU9c4lV5AIkh2kAKZSrCag2uBtg4odqchhG2w3+8lWh5xidYBEmkBm+kbkmarSc6L6hH2uzGtlyKjqMHNZ6VbZ7SYsqtOAYXUPu+hDR1qT4sI60+X7IWMs4whSANcjSJtmyzbJCphNmauWgzGX5ub6FCfTVhxBOoTKmVnUxSMm0HmGqclIMswzXV64IwvZUX2+ulDlxLg+xYliK44gBXA5ggwyE43jrNW1hTuy7mHyQ8mulGRRhWg0z4t0JOOyg2QYIB4DaNzhOv7KBuNOOJMdpEza29tRXl6OC3AZChHeQS7ZsRFXnT5ComTyCCIbZT2Y8HC9qoGSXSnIYlqGJ99pwaCz30NbWxvKyspyXssOUoCdO3filFNOMS0GwzAMI4k9e/bgxBNPzHlNoSZZrKZPnz4AgN27d+edccSdjo4ODBgwAHv27MmbvogzbCdx2FZisJ3E8DwPn376KaqqqvJeyw5SgIKCrxb7lpWVccMTpLS0lG0lANtJHLaVGGyn/IgGOrzNg2EYhmF8YAfJMAzDMD6wgxSguLgYP//5z1FcXGxaFPKwrcRgO4nDthKD7SQfXsXKMAzDMD5wBMkwDMMwPrCDZBiGYRgf2EEyDMMwjA/sIBmGYRjGB3aQDMMwDOMDO0iGYRiG8YEdJMPEnP/7v/9Dly5dsHTpUowbNw49evTAkCFDsGbNGtOiMYxR2EEyTMxpaWlBly5d8MADD2DmzJloaWnBwIEDMX36dNOiMYxR2EEyTMxpaWlBeXk5nnvuOXzrW9/Caaedhssvvxwff/yxadEYxijsIBkm5rS0tOCKK67A8ccfn/xs165dOPXUUw1KxTDmYQfJMDGnpaUF1dXVaZ+tX78eI0eONCMQwxCBHSTDxJj29na89957GDVqVNrn7CAZhh0kw8SaDRs2oLCwECNGjEh+9v777+PAgQPsIJnYww6SYWJMS0sLhgwZgu7duyc/+8tf/oLy8nKcdNJJ5gRjGALwz10xDMMwjA8cQTIMwzCMD+wgGYZhGMYHdpAMwzAM4wM7SIZhGIbxgR0kwzAMw/jADpJhGIZhfGAHyTAMwzA+sINkGIZhGB/YQTIMwzCMD+wgGYZhGMYHdpAMwzAM4wM7SIZhGIbx4f8B+TWSPCGZOjQAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ - "# Calculate RecurrenceNetwork of generated Lorenz-timeseries\n", - "Lorenz_rn = RecurrenceNetwork(Lorenz, metric = \"supremum\", recurrence_rate=0.05)\n", - "\n", - "# From obtained RecurrenceNetwork calculate local clustering coefficients\n", - "Lorenz_C_v = Lorenz_rn.local_clustering() \n", - "\n", - "print(f\"C_v = {Lorenz_C_v}\")" + "plt.matshow(lorenz_rp.recurrence_matrix())\n", + "plt.xlabel(\"$n$\"); plt.ylabel(\"$n$\");" ] }, { "attachments": {}, "cell_type": "markdown", - "id": "bf75a0ee", + "id": "68cbfc9c-f3f7-4d28-b69f-e9e77969ebe4", "metadata": {}, "source": [ - "From the local clustering coefficient we can calculate the local clustering dimension $CD_v$ by taking the log of the local clustering coefficient $C_v$ and dividing it by $log(3/4)$:\n", + "#### Local Clustering Coefficient\n", "\n", - "$$CD_v=\\frac{log(C_v)}{log(\\frac{3}{4})}$$\n" + "From the local clustering coefficient we can calculate the local clustering dimension:\n", + "$$CD_v=\\frac{log(C_v)}{log(\\frac{3}{4})}\\,.$$" ] }, { "cell_type": "code", "execution_count": 15, - "id": "a1a156c2", + "id": "f24dfd26-1259-4c5b-bd92-88ff5b35df94", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "CD_v = [1.47970552 1.48856605 1.52048446 ... 1.44540435 1.46419666 1.45982974]\n" + "Calculating recurrence plot at fixed recurrence rate...\n", + "Calculating the supremum distance matrix...\n", + "Calculating local clustering coefficients...\n", + "C_v = [0.81391066 0.81240007 0.81127381 ... 0.53332127 0.53707695 0.53951554]\n", + "CD_v = [0.7157369 0.72219436 0.72701667 ... 2.1851597 2.16076691 2.14501963]\n" ] } ], "source": [ - "# Calculate CD_v\n", - "CD_v = np.log(Lorenz_C_v)/np.log(3/4)\n", - "\n", + "lorenz_rn = RecurrenceNetwork(lorenz, recurrence_rate=RR, metric=METRIC)\n", + "lorenz_C_v = lorenz_rn.local_clustering()\n", + "print(f\"C_v = {lorenz_C_v}\")\n", + "CD_v = np.log(lorenz_C_v) / np.log(3/4)\n", "print(f\"CD_v = {CD_v}\")" ] }, @@ -773,7 +669,7 @@ "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -783,23 +679,14 @@ } ], "source": [ - "# Plot local clustering dimension on Lorenz attractor\n", - "# get colormap\n", - "cm = plt.cm.get_cmap('jet')\n", + "# plot trajectory on Lorenz attractor\n", "ax = plt.figure().add_subplot(projection='3d')\n", - "\n", - "# plot underlying trajectory\n", - "ax.plot(Lorenz[:, 0], Lorenz[:, 1], Lorenz[:, 2], lw=0.5, color=\"grey\")\n", - "# plot LCD \n", - "scat_plot = ax.scatter(Lorenz[:, 0], Lorenz[:, 1], Lorenz[:, 2], lw=0.5, c=CD_v, s=1, cmap=cm)\n", + "ax.plot(*lorenz.T, lw=0.5, color=\"grey\")\n", + "# plot local clustering dimension\n", + "scat_plot = ax.scatter(*lorenz.T, lw=0.5, c=CD_v, s=1, cmap=plt.colormaps[\"jet\"])\n", "cb = plt.colorbar(scat_plot, pad=0.2)\n", - "\n", - "ax.set_xlabel(\"X Axis\")\n", - "ax.set_ylabel(\"Y Axis\")\n", - "ax.set_zlabel(\"Z Axis\")\n", - "\n", - "ax.set_title(\"$CD_v$ for fixed $RR = 0.05$\")\n", - "plt.show()" + "ax.set_xlabel(\"X\"); ax.set_ylabel(\"Y\"); ax.set_zlabel(\"Z\")\n", + "ax.set_title(f\"$CD_v$ for fixed $RR = {RR}$\");" ] }, { @@ -814,16 +701,17 @@ { "attachments": {}, "cell_type": "markdown", - "id": "84b44f07", + "id": "74a04d72-2177-4734-a38d-f4276dd8f9d4", "metadata": {}, "source": [ - "Here, we can calculate the global clustering coefficient and dimension of the generated Lorenz timeseries and visualize the results on plot" + "Similarly to the local case, we can calculate the global clustering coefficient of the Lorenz timeseries and obtain its global clustering dimension as:\n", + "$$CD=\\frac{log(C)}{log(\\frac{3}{4})}\\,.$$" ] }, { "cell_type": "code", "execution_count": 17, - "id": "a75b1826", + "id": "24aee056-ec76-4f2c-a21b-2459812a5ce8", "metadata": {}, "outputs": [ { @@ -831,44 +719,15 @@ "output_type": "stream", "text": [ "Calculating global clustering coefficient (C_2)...\n", - "C = 0.6179359105713065\n" + "C = 0.6420799584495237\n", + "CD = 1.5400418712226018\n" ] } ], "source": [ - "# Apply global_clustering method to get global clustering coefficient (C)\n", - "C = Lorenz_rn.global_clustering()\n", - "\n", - "print(f\"C = {C}\")" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "02dc6c56", - "metadata": {}, - "source": [ - "From the global clustering coefficient we can calculate the global clustering dimension (CD) by taking the log of the global clustering coefficient and dividing it by log (3/4)\n", - "\n", - "$$CD=\\frac{log(C)}{log(\\frac{3}{4})}$$" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "5eaa8851", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CD = 1.67327260741976\n" - ] - } - ], - "source": [ - "CD = np.log10(C)/np.log10(3/4)\n", + "C = lorenz_rn.global_clustering()\n", + "print(f\"C = {C}\")\n", + "CD = np.log(C) / np.log(3/4)\n", "print(f\"CD = {CD}\")" ] }, @@ -887,13 +746,13 @@ "id": "0a7c3def", "metadata": {}, "source": [ - "Finally we will calculate the transitivity $T$ and its corresponding dimension $TD$ of the generated Lorenz timeseries and visualize the results on a plot." + "Lastly, we can calculate the transitivity $T$ and its corresponding dimension $TD$ analogously." ] }, { "cell_type": "code", - "execution_count": 19, - "id": "aae67f5a", + "execution_count": 18, + "id": "807bc13e-1c35-485e-84ea-11d820bc9dd9", "metadata": {}, "outputs": [ { @@ -901,43 +760,15 @@ "output_type": "stream", "text": [ "Calculating transitivity coefficient (C_1)...\n", - "T = 0.6405742697542526\n" + "T = 0.7217193610758386\n", + "TD = 1.1336087419104863\n" ] } ], "source": [ - "# Calculate transitivity from RecurrenceNetwork of our timeseries\n", - "Lorenz_T = Lorenz_rn.transitivity() \n", - "print(f\"T = {Lorenz_T}\")" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "ebca8960", - "metadata": {}, - "source": [ - "From the transitivity we can calculate the transitivity dimension $TD$ by taking the log of the transitivity value and dividing it by log (3/4)\n", - "\n", - "$$TD=\\frac{log(T)}{log(\\frac{3}{4})}$$" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "bb257ba4", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "TD = 1.5482028639163619\n" - ] - } - ], - "source": [ - "TD = np.log(Lorenz_T)/np.log(3/4)\n", + "lorenz_T = lorenz_rn.transitivity() \n", + "print(f\"T = {lorenz_T}\")\n", + "TD = np.log(lorenz_T) / np.log(3/4)\n", "print(f\"TD = {TD}\")" ] }, @@ -947,57 +778,64 @@ "id": "2fea4b6b", "metadata": {}, "source": [ - "### 3.2 Bonus exercise: Transitivity dimension for sweeping recurrence rate\n", + "### Bonus Exercise: Transitivity Dimension as a Function of Recurrence Rate\n", "\n", - "We can also calculate the transitivity dimension for an array of different recurrence rates. (Note: this will be somewhat computationally expensive and might take some time to finish). We first create an array of recurrence rates to calculate the transitivity dimensions for, and then loop over it:" + "We can also calculate the transitivity dimension for an array of different recurrence rates. **Note:** This might take a while to finish." ] }, { "cell_type": "code", - "execution_count": 10, - "id": "524378fe", + "execution_count": 19, + "id": "11ee1348-8720-4632-a64f-3552b017e998", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b18a63cac81242409301961881bd18c3", + "model_id": "3a0ffc57aa0c46bda8f6e4ac8ec9ec07", "version_major": 2, "version_minor": 0 }, "text/plain": [ - " 0%| | 0/5 [00:00" ] @@ -1007,21 +845,19 @@ } ], "source": [ - "# Plot series\n", "plt.figure(figsize=(14, 4), dpi=80)\n", "plt.plot(rr, TD, label= \"Lorenz attractor (10000 timesteps)\") \n", - "plt.xlabel('Recurrence Rate $RR$')\n", - "plt.ylabel('Transitivity Dimension $TD$')\n", - "plt.legend(loc = \"upper right\")\n", - "plt.show()" + "plt.xlabel('recurrence rate $RR$')\n", + "plt.ylabel('transitivity dimension $TD$')\n", + "plt.legend(loc = \"lower right\");" ] } ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "pyunicorn", "language": "python", - "name": "python3" + "name": "pyunicorn" }, "language_info": { "codemirror_mode": { @@ -1033,7 +869,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.13" + "version": "3.11.7" }, "vscode": { "interpreter": { diff --git a/examples/tutorials/VisibilityGraphs.ipynb b/examples/tutorials/VisibilityGraphs.ipynb index e865f35e..52a1c51c 100644 --- a/examples/tutorials/VisibilityGraphs.ipynb +++ b/examples/tutorials/VisibilityGraphs.ipynb @@ -13,7 +13,7 @@ "id": "86362e1e", "metadata": {}, "source": [ - "The objective of this tutorial is to introduce the network-based method of visbility graphs for nonlinear time series analysis and explain and illustrate their application with the __pyunicorn__ package. First some theoretical background for understanding visibility graphs will be given and then some methods provided by `pyunicorn.timeseries.VisibilityGraph` illustrated. For a detailed discussion and further references, please consult __[Donges et al., 2015](https://aip.scitation.org/doi/10.1063/1.4934554)__, on which this tutorial is based. " + "The objective of this tutorial is to introduce the network-based method of visibility graphs for nonlinear time series analysis, and to illustrate its implementation in the `pyunicorn` package. First some theoretical background for understanding visibility graphs will be given, and then some of the methods in `timeseries.VisibilityGraph` will be highlighted. For a detailed discussion and further references, please consult __[Donges et al. (2015)](https://aip.scitation.org/doi/10.1063/1.4934554)__, on which this tutorial is based." ] }, { @@ -29,9 +29,8 @@ "id": "82630840", "metadata": {}, "source": [ - "_Visibility Graphs (VG)_ encode visibility relations between data points in the one-dimensional time domain, by drawing upon analogies between height profiles in physical space and the profile of a time series graph. VGs are based on the existence or non-existence of lines of sight between well-defined objects \\[__[Donges et al., 2015](https://aip.scitation.org/doi/10.1063/1.4934554)__\\].\n", - "\n", - "They can be applied to investigate purely temporal features such as long-range correlations \\[__[Lacasa et al., 2009](https://iopscience.iop.org/article/10.1209/0295-5075/86/30001)__\\] or time reversal asymmetry \\[__[Donges et al., 2013](https://iopscience.iop.org/article/10.1209/0295-5075/102/10004)__\\]." + "_Visibility Graphs (VG)_ encode visibility relations between data points in the one-dimensional time domain, by drawing upon analogies between height profiles in physical space and the profile of a time series graph. More precisely, VGs are based on the existence or non-existence of lines of sight between well-defined objects (__[Donges et al., 2015](https://aip.scitation.org/doi/10.1063/1.4934554)__).\n", + "They can be applied to investigate purely temporal features such as long-range correlations (__[Lacasa et al., 2009](https://iopscience.iop.org/article/10.1209/0295-5075/86/30001)__) or time reversal asymmetry (__[Donges et al., 2013](https://iopscience.iop.org/article/10.1209/0295-5075/102/10004)__)." ] }, { @@ -39,7 +38,7 @@ "id": "e02236af", "metadata": {}, "source": [ - "## Theory of Time Series Visibility Graphs" + "## Theory of Time Series Visibility Graphs (VGs)" ] }, { @@ -47,7 +46,7 @@ "id": "7083e755", "metadata": {}, "source": [ - "### Standard Visibility Graph" + "### Standard VG" ] }, { @@ -57,9 +56,9 @@ "source": [ "In a time series context, well-defined objects between which lines of sight can be established are the sampling points of a (univariate) time series graph. These sampling points are uniquely characterised by pairs $(t_v, x_v)$ with $x_v = x(t_v)$. From a practical perspective, we can identify each node $v$ of a standard visibility graph with a given time point $t_v$. For $t_v < t_p$ (and, hence, $v < p$) a link between the nodes $v$ and $p$ exists iff\n", "\n", - "$$x_q < x_v + \\frac{x_p-x_v}{t_p-t_v}(t_q - t_v)\\;\\forall\\; v < q < p$$\n", + "$$\\forall\\; q \\in (v,p):\\quad x_q < x_v + \\frac{x_p-x_v}{t_p-t_v}(t_q - t_v)\\,.$$\n", "\n", - "Put differently, the topological properties of VGs take into account the time-ordering of observations explicitly and are thus closely related to the roughness of the underlying time series profile. An illustration of a timeseries with respective visibility relations (grey lines) can be seen in the figure below, taken from __[Donner and Donges, 2012](https://link.springer.com/article/10.2478/s11600-012-0032-x)__, that illustrates a timeseries . The VG of a time series stays invariant under arbitrary affine transformations.\n" + "Put differently, the topological properties of VGs take into account the time-ordering of observations explicitly and are thus closely related to the roughness of the underlying time series profile. An illustration of a timeseries with respective visibility relations (grey lines) can be seen in the figure below, taken from __[Donner and Donges (2012)](https://link.springer.com/article/10.2478/s11600-012-0032-x)__. The VG of a time series stays invariant under arbitrary affine transformations." ] }, { @@ -67,7 +66,7 @@ "id": "dbec9eef", "metadata": {}, "source": [ - "![visibilitygraph](images/SimpleVG.PNG)" + "![visibilitygraph](images/SimpleVG.png)" ] }, { @@ -75,7 +74,7 @@ "id": "a0c4fc91", "metadata": {}, "source": [ - "### Horizontal Visibility Graph" + "### Horizontal VG" ] }, { @@ -83,13 +82,12 @@ "id": "1b60e2a4", "metadata": {}, "source": [ - "A notable algorithmic variant are _horizontal visibility graphs (HVGs)_ that facilitate analytical investigations of graph profiles \\[__[Luque et al., 2009](https://journals.aps.org/pre/abstract/10.1103/PhysRevE.80.046103)__\\]. For HVGs the more restrictive condition\n", - "\n", - "$$x_q<\\text{min}\\{x_v,x_p\\}\\;\\forall\\;vv}A_{vp}\\text{,}$$ with $k_v^r$ and $k_v^a$ being the time-retarded and the time-advanced degree respectively.\n", - "\n", + "- Decomposing the degree $k_v$ of a vertex $v$, i.e., the number of edges incident to it, into contributions due to other vertices in the past and future of $t_v$, one obtains the time-retarded ($k_v^r$) and the time-advanced ($k_v^a$) degree:\n", + "$$k_v^r = \\sum_{p\\in V:\\,pv}A_{vp}\\,.$$\n", "\n", - "- In a similar manner, the local clustering coefficient $C_v$, which characterises the likelihood that the neighbours of $v$ are also connected, also can be expressed in terms of past and future contributions: $$C_v^r = \\left( _{2}^{k_v^r} \\right)^{-1} \\sum_{p,q\\in V:p,qv}A_{vp}A_{pq}A_{qv}\\text{,}$$ with $C_v^r$ and $C_v^a$ being the time-retarded and the time-advanced local clustering coefficient." + "- In a similar manner, the local clustering coefficient $C_v$, which characterises the likelihood that the neighbours of $v$ are also connected, can be expressed in terms of past and future contributions:\n", + "$$C_v^r = \\left( _{2}^{k_v^r} \\right)^{-1}\\!\\! \\sum_{p,q\\in V:p,qv}A_{vp}A_{pq}A_{qv} \\,.$$" ] }, { @@ -142,7 +141,7 @@ "id": "71ebb8e0", "metadata": {}, "source": [ - "#### Irreversibility-Test via Kolmogorov-Smirnov (KS) " + "#### Irreversibility Test via Kolmogorov-Smirnov (KS)" ] }, { @@ -150,9 +149,11 @@ "id": "d82fb93b", "metadata": {}, "source": [ - "Looking at the frequency distributions $p(k_v^r)$, $p(k_v^a)$, $p(C_v^r)$ and $p(C_v^a)$, it is expected that the retarded and advanced sequences for one vertex characteristic, e.g. $\\{k_v^r\\}$ and $\\{k_v^a\\}$ should be drawn from the same probability distributions, $p(k_v^r)$ and $p(k_v^a)$, in case of time reversibility. Then, rejecting the null hypothesis that $\\{k_v^r\\}$ and $\\{k_v^a\\}$ ($\\{C_v^r\\}$ and $\\{C_v^a\\}$) are drawn from the same probability distribution, respectively, is equivalent to rejecting the null hypothesis that the TS is reversible. For sufficiently long time series the samples of individual vertex properties approximate the underlying distributions sufficiently well and the Kolmogorov-Smirnov (KS) test can be used to check this hypothesis. Specifically, a small $p$-value of the KS test static (e.g., $p<0.05$) implies that the time series has likely been generated by an irreversible process.\n", + "Looking at the frequency distributions of the retarded and advanced sequences for one vertex characteristic,\n", + "in case of time reversibility it is expected that they should be drawn from the same probability distributions, e.g., $p(k_v^r) \\approx p(k_v^a)$. Thus, rejecting the null hypothesis that $\\{k_v^r\\}_v$ and $\\{k_v^a\\}_v$ (or $\\{C_v^r\\}_v$ and $\\{C_v^a\\}_v$) are drawn from the same probability distribution, respectively, is equivalent to rejecting the null hypothesis that the time series is reversible.\n", "\n", - "For illustration purposes, the distributions of time-directed vertex properties of a linear and a non-linear timeseries will be analysed in the following section and evaluated." + "For sufficiently long time series, the samples of individual vertex properties approximate the underlying distributions sufficiently well, and the Kolmogorov-Smirnov (KS) test can be used to check this hypothesis. Specifically, a small $p$-value of the KS test statistic (e.g., $p<0.05$) implies that the time series has likely been generated by an irreversible process.\n", + "For illustration purposes, the distributions of time-directed vertex properties of a linear and a non-linear timeseries will be analysed in the following." ] }, { @@ -160,7 +161,7 @@ "id": "41f104c7", "metadata": {}, "source": [ - "## Application of Visibility Graphs" + "## Application of VGs" ] }, { @@ -168,7 +169,7 @@ "id": "0ddeee77", "metadata": {}, "source": [ - "As an example for the application of VGs and HVGs and the class `VisibilityGraph` a linear and a non-linear time series are visually tested and the KS test is applied for irreversibility with the distributions of time-directed vertex properties, after going through some basic concepts." + "As an example for the application of VGs and HVGs and of the class `VisibilityGraph`, a linear and a non-linear time series will be tested first visually, and then with the KS test for irreversibility." ] }, { @@ -179,14 +180,6 @@ "### First Steps" ] }, - { - "cell_type": "markdown", - "id": "185accd3", - "metadata": {}, - "source": [ - "Import all needed packages." - ] - }, { "cell_type": "code", "execution_count": 1, @@ -194,34 +187,64 @@ "metadata": {}, "outputs": [], "source": [ - "import numpy as np\n", "import math\n", + "\n", + "import numpy as np\n", "from matplotlib import pyplot as plt\n", "from pyunicorn.timeseries import VisibilityGraph" ] }, + { + "cell_type": "markdown", + "id": "b9b4e18e-2d3d-4405-9119-91637e15702d", + "metadata": {}, + "source": [ + "#### Synthetic Data" + ] + }, { "cell_type": "markdown", "id": "757844b5", "metadata": {}, "source": [ - "Then we create and plot linear a time series (TS) based on a linear-stochastic first-order autoregressive (AR(1)) with an additive gaußian noise term $\\xi$:\n", - "$$x_t = \\alpha x_{t-1} + \\xi_t \\text{,}$$ \n", - "where $\\alpha = 0.5$ \n", - "For more background on the construction of time series, consult __[Shumway and Stoffer, 2017](https://link.springer.com/book/10.1007/978-3-319-52452-8)__. " + "First, we create and plot a linear time series, based on a linear-stochastic first-order autoregressive model (*AR(1)*) with an additive Gaussian noise term:\n", + "$$x_t = \\alpha x_{t-1} + \\xi_t \\,,$$ \n", + "where $\\alpha = 0.5$.\n", + "For more background on the construction of time series, consult __[Shumway and Stoffer (2017)](https://link.springer.com/book/10.1007/978-3-319-52452-8)__. " ] }, { "cell_type": "code", - "execution_count": 7, - "id": "1a5e5042", - "metadata": { - "scrolled": false - }, + "execution_count": 2, + "id": "5a01c592-ba8c-4f87-addd-7e2513b0ac4f", + "metadata": {}, + "outputs": [], + "source": [ + "# we set a seed to reproduce results later\n", + "np.random.seed(42)\n", + "# process parameters\n", + "a = 0.5\n", + "mu, sigma = 0, 1\n", + "# sample size\n", + "N = 5000\n", + "# Gaussian noise\n", + "x_t = np.random.normal(mu, sigma, N)\n", + "# AR(1)\n", + "w_t = np.zeros(N)\n", + "t = np.arange(0, N, 1)\n", + "for i in t[1:]:\n", + " w_t[i] = a*w_t[i-1] + x_t[i]" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "3eb4edb9-9707-4787-b94e-a334d4f2f995", + "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -231,25 +254,18 @@ } ], "source": [ - "np.random.seed(42) # we set a seed to reproduce results later\n", - "mu, sigma = 0, 1 # mean and standard deviation\n", - "N = 5000\n", - "xi = np.random.normal(mu, sigma, N) # gaussian noise time series\n", - "a = 0.5\n", - "w_t = [0]\n", - "t = np.arange(0, N, 1) # construct time array\n", - "for i in t[1:]:\n", - " w_t.append(a*w_t[i-1]+xi[i])\n", - "w_t = np.asarray(w_t)\n", - " \n", - "# plot the timeseries\n", - "fig = plt.figure(figsize=(14, 4))\n", - "ax = plt.plot(t, w_t)\n", - "ax = plt.xlabel(\"$t$\")\n", - "ax = plt.ylabel(\"$w_t$\")\n", - "ax = plt.title(\"Examplary AR(1) Time Series\")\n", - "fig.tight_layout()\n", - "plt.show()" + "plt.figure(figsize=(14, 4), tight_layout=True)\n", + "plt.plot(t, w_t)\n", + "plt.xlabel(\"$t$\"); plt.ylabel(\"$w_t$\")\n", + "plt.title(\"Examplary AR(1) time series\");" + ] + }, + { + "cell_type": "markdown", + "id": "441eac8f-7b1a-4fdb-a2b5-3d9504caf03f", + "metadata": {}, + "source": [ + "#### Visibility Relations" ] }, { @@ -257,16 +273,14 @@ "id": "b0970273", "metadata": {}, "source": [ - "Now we construct an object of class VisibilityGraph. Note the keyword `horizontal`, that can be set to be `False` or `True`, and is `False` by default. We denote the object with \"1\" to distinguish it from the second timeseries that will be analysed later on." + "Now we construct a `VisibilityGraph` instance. Note the keyword `horizontal`, which is `False` by default." ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "id": "d481e772", - "metadata": { - "scrolled": true - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -280,17 +294,15 @@ } ], "source": [ - "VG1 = VisibilityGraph(w_t, horizontal = False) # creating object\n", + "VG1 = VisibilityGraph(w_t, horizontal=False)\n", "print(VG1)" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "id": "367aaa50", - "metadata": { - "scrolled": true - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -304,7 +316,7 @@ } ], "source": [ - "HVG1 = VisibilityGraph(w_t, horizontal = True)\n", + "HVG1 = VisibilityGraph(w_t, horizontal=True)\n", "print(HVG1)" ] }, @@ -313,12 +325,12 @@ "id": "0a3d1527", "metadata": {}, "source": [ - "It can be illustrative to plot the visibility relations for the VG for better understanding of the concept. They can be obtained with the method `VisibilityGraph.visibility_relations()`. Note that we zoom in a bit here, by only plotting the first 200 data points." + "It can be illustrative to plot the visibility relations via the method `VisibilityGraph.visibility_relations()`. Note that here we zoom in along the time axis." ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 6, "id": "8d8b5cdb", "metadata": {}, "outputs": [ @@ -331,7 +343,7 @@ }, { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAABW0AAAGGCAYAAAAAW6PhAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd1xT9/4/8NfJTgiBsPdGQMC9Fw5wj6pttbbVWrv3sr3eXmt7e3v7a3v77bTe7trWUUfd1i3uVbegyEaGjDBCCCGEk98f3BwTEkiCoGjfz8ejj3pOzjk5J4tz3uf9eb8Zo9FoBCGEEEIIIYQQQgghhJAugXe7d4AQQgghhBBCCCGEEELIDRS0JYQQQgghhBBCCCGEkC6EgraEEEIIIYQQQgghhBDShVDQlhBCCCGEEEIIIYQQQroQCtoSQgghhBBCCCGEEEJIF0JBW0IIIYQQQgghhBBCCOlCKGhLCCGEEEIIIYQQQgghXQgFbQkhhBBCCCGEEEIIIaQLoaAtIYQQQgghhBBCCCGEdCEUtCWEEEIIIQ4bOXIkRo4c6fCyCQkJnbtDABiGwdtvv+3UOo888gjCwsK46by8PDAMg//85z9213377bfBMIzFvLCwMDzyyCPcdGpqKhiGQWpqqlP7dTt01r62530hhBBCCCHNKGhLCCGEENJFMAzj0H+m4Fp5eTlefPFFxMbGQiqVwsfHBwMGDMAbb7wBjUZzS/a5uLgYb7/9Ns6dO3dLnu9OtnLlSnz66ae3ezc61Pbt2ykwSwghhBDSCQS3ewcIIYQQQkizX375xWL6559/xu7du63mx8XFobKyEv369YNarcajjz6K2NhYqFQqXLhwAcuWLcPTTz8NuVze4fu4a9cui+ni4mK88847CAsLQ69evTr8+RxRX18PgcC509pvv/0WLMu26/n+8Y9/4G9/+1uby4wYMQL19fUQiUTcvJUrV+LSpUt46aWX2vW8XdH27duxdOlSm4Hb9rwvhBBCCCGkGZ1FEUIIIYR0EQ899JDF9PHjx7F7926r+QDw0UcfoaCgAEeOHMGQIUMsHlOr1RbBwo7UWdu9GRKJxOl1hEJhu59PIBDYDUbyeLx27VdHMBgMYFn2tr9Xt+v4CSGEEELuBlQegRBCCCHkDpSdnQ0+n49BgwZZPaZQKNoMmF24cAEMw2Dz5s3cvNOnT4NhGPTp08di2QkTJmDgwIHctHlN29TUVPTv3x8AMH/+fK58w08//WSxjfT0dIwaNQoymQyBgYH48MMP7R5fQkICRo0aZTWfZVkEBgbi3nvv5ea1rJ1aW1uLl156CWFhYRCLxfDx8UFKSgrOnDnDLdOypq25Tz75BKGhoZBKpUhKSsKlS5csHrdV07allnViR44ciW3btiE/P597ncLCwqDRaODi4oIXX3zRahuFhYXg8/l4//33W30e81q8n376KSIjIyEWi5Geng4AuHLlCu699154eHhAIpGgX79+Fu97aw4dOoT77rsPISEhEIvFCA4Oxssvv4z6+npumUceeQRLly4FYFnaw8RWTduzZ89iwoQJUCgUkMvlGDNmDI4fP26xzE8//QSGYXDkyBG88sor8Pb2houLC6ZPn47y8nKLZf/880+MGzcOXl5ekEqlCA8Px6OPPmr3+AghhBBCujrKtCWEEEIIuQOFhoaiqakJv/zyC+bNm+fUugkJCXB3d8fBgwcxdepUAM1BOh6Ph/Pnz0OtVkOhUIBlWRw9ehRPPPGEze3ExcXhn//8J9566y088cQTGD58OABYZP5WVVVh/PjxmDFjBu6//36sW7cOb7zxBhITEzFhwoRW93HWrFl4++23cf36dfj5+XHzDx8+jOLiYsyePbvVdZ966imsW7cOzz33HLp37w6VSoXDhw/j8uXLVkHpln7++WfU1tbi2WefhU6nw2effYbRo0fj4sWL8PX1bXPdtrz55puoqalBYWEhPvnkEwCAXC6HXC7H9OnT8dtvv+H//u//wOfzuXVWrVoFo9GIBx980O72f/zxR+h0OjzxxBMQi8Xw8PBAWloahg4disDAQPztb3+Di4sL1qxZg3vuuQfr16/H9OnTW93e2rVrodVq8fTTT8PT0xMnT57EF198gcLCQqxduxYA8OSTT6K4uNhmCQ9b0tLSMHz4cCgUCrz++usQCoX4+uuvMXLkSBw4cMDi5gAAPP/881AqlViyZAny8vLw6aef4rnnnsNvv/0GACgrK8PYsWPh7e2Nv/3tb3B3d0deXh5+//13u/tCCCGEENLlGQkhhBBCSJf07LPPGls7Xbt+/brR29vbCMAYGxtrfOqpp4wrV640VldXO7TtSZMmGQcMGMBNz5gxwzhjxgwjn883/vHHH0aj0Wg8c+aMEYBx06ZN3HJJSUnGpKQkbvrUqVNGAMYff/zR6jmSkpKMAIw///wzN6+hocHo5+dnnDlzZpv7l5GRYQRg/OKLLyzmP/PMM0a5XG7UarXcPADGJUuWcNNubm7GZ599ts3tz5s3zxgaGspN5+bmGgEYpVKpsbCwkJt/4sQJIwDjyy+/zM1bsmSJ1fsSGhpqnDdvHje9f/9+IwDj/v37uXmTJk2yeE6TnTt3GgFwr7tJjx49LF5rW0z7rVAojGVlZRaPjRkzxpiYmGjU6XTcPJZljUOGDDFGR0e3ua/mr6/J+++/b2QYxpifn8/Na+sz2vJ9ueeee4wikciYnZ3NzSsuLja6uroaR4wYwc378ccfjQCMycnJRpZlufkvv/yykc/nc5/xDRs2GAEYT5061drLQwghhBByx6LyCIQQQgghdyBfX1+cP38eTz31FKqqqvDf//4Xc+bMgY+PD959910YjcY21x8+fDjOnDmDuro6AM0ZrBMnTkSvXr1w6NAhAM3ZtwzDYNiwYe3eT7lcblGTVyQSYcCAAcjJyWlzvW7duqFXr15cViUANDU1Yd26dZgyZQqkUmmr67q7u+PEiRMoLi52en/vueceBAYGctMDBgzAwIEDsX37dqe35ajk5GQEBARgxYoV3LxLly7hwoULNusZ2zJz5kx4e3tz05WVldi3bx/uv/9+1NbWoqKiAhUVFVCpVBg3bhwyMzNRVFTU6vbMX9+6ujpUVFRgyJAhMBqNOHv2rNPH2NTUhF27duGee+5BREQEN9/f3x9z5szB4cOHoVarLdZ54oknLMotDB8+HE1NTcjPzwfQ/D4DwNatW9HY2Oj0PhFCCCGEdGUUtCWEEEIIuUP5+/tj2bJlKCkpQUZGBj7//HN4e3vjrbfewvfff9/musOHD4fBYMCxY8eQkZGBsrIyDB8+HCNGjLAI2nbv3h0eHh7t3segoCCr+q9KpRJVVVV21501axaOHDnCBRdTU1NRVlaGWbNmtbnehx9+iEuXLiE4OBgDBgzA22+/bTdIbBIdHW01r1u3bsjLy3No/fbg8Xh48MEHsXHjRmi1WgDAihUrIJFIcN999zm0jfDwcIvprKwsGI1GLF68GN7e3hb/LVmyBEBzeYHWFBQU4JFHHoGHhwfkcjm8vb2RlJQEAKipqXH6GMvLy6HVahETE2P1WFxcHFiWxbVr1yzmh4SEWEwrlUoA4D47SUlJmDlzJt555x14eXlh2rRp+PHHH9HQ0OD0/hFCCCGEdDUUtCWEEEIIucMxDINu3brh+eefx8GDB8Hj8SyyNm3p168fJBIJDh48iEOHDsHHxwfdunXD8OHDcfLkSTQ0NODQoUNcndr2Mq/Ras5eJjDQHLQ1Go1cDdU1a9bAzc0N48ePb3O9+++/Hzk5Ofjiiy8QEBCAjz76CPHx8fjjjz+cP4BbZO7cudBoNNi4cSOMRiNWrlyJyZMnw83NzaH1W2YesywLAHjttdewe/dum/9FRUXZ3FZTUxNSUlKwbds2vPHGG9i4cSN2797NNZgzbbuz2fvsMAyDdevW4dixY3juuedQVFSERx99FH379oVGo7kl+0gIIYQQ0lmoERkhhBBCyF0kIiICSqUSJSUlbS5nKlNw6NAhhISEcMHZ4cOHo6GhAStWrEBpaSlGjBjR5nZaZtF2pPDwcAwYMAC//fYbnnvuOfz++++45557IBaL7a7r7++PZ555Bs888wzKysrQp08fvPfee202PwOAzMxMq3lXr15FWFhYew+D09ZrlZCQgN69e2PFihUICgpCQUEBvvjii3Y/l6kEgVAoRHJyslPrXrx4EVevXsXy5csxd+5cbv7u3butlnX0/ff29oZMJkNGRobVY1euXAGPx0NwcLBT+2kyaNAgDBo0CO+99x5WrlyJBx98EKtXr8Zjjz3Wru0RQgghhHQFlGlLCCGEEHIHOnHiBFeP1tzJkyehUqlsDkNvafjw4Thx4gT279/PBW29vLwQFxeHDz74gFumLS4uLgCA6upqJ4/AMbNmzcLx48fxww8/oKKiwm5phKamJqvh+z4+PggICHBo2PzGjRstar2ePHkSJ06csBvsdYSLi0ubpQUefvhh7Nq1C59++ik8PT1v6jl9fHwwcuRIfP311zYD+OXl5a2ua8pwNc+GNhqN+Oyzz6yWdfT95/P5GDt2LDZt2mRRaqK0tBQrV67EsGHDoFAo2txGS1VVVVYZ27169QIAKpFACCGEkDseZdoSQgghhNyBfvnlF6xYsQLTp09H3759IRKJcPnyZfzwww+QSCT4+9//bncbw4cPx3vvvYdr165ZBGdHjBiBr7/+GmFhYQgKCmpzG5GRkXB3d8d///tfuLq6wsXFBQMHDrSqsdpe999/P1577TW89tpr8PDwsJs1Wltbi6CgINx7773o2bMn5HI59uzZg1OnTuHjjz+2+3xRUVEYNmwYnn76aTQ0NHAB1Ndff/2mj6Vv37747bff8Morr6B///6Qy+WYMmUK9/icOXPw+uuvY8OGDXj66achFApv6vmWLl2KYcOGITExEY8//jgiIiJQWlqKY8eOobCwEOfPn7e5XmxsLCIjI/Haa6+hqKgICoUC69evt1mHuG/fvgCAF154AePGjQOfz8fs2bNtbvdf//oXdu/ejWHDhuGZZ56BQCDA119/jYaGBnz44YdOH9/y5cvx1VdfYfr06YiMjERtbS2+/fZbKBQKTJw40entEUIIIYR0JRS0JYQQQgi5Az355JOQyWTYu3cvNm3aBLVaDW9vb4wdOxaLFi1C79697W5jyJAh4PP5kMlk6NmzJzd/+PDh+Prrrx2qZysUCrF8+XIsWrQITz31FAwGA3788ccOC9oGBQVhyJAhOHLkCB577DG7gUyZTIZnnnkGu3btwu+//w6WZREVFYWvvvoKTz/9tN3nmzt3Lng8Hj799FOUlZVhwIAB+PLLL+Hv73/Tx/LMM8/g3Llz+PHHH/HJJ58gNDTUImjr6+uLsWPHYvv27Xj44Ydv+vm6d++OP//8E++88w5++uknqFQq+Pj4oHfv3njrrbdaXU8oFGLLli144YUX8P7770MikWD69Ol47rnnLD4nADBjxgw8//zzWL16NX799VcYjcZWg7bx8fE4dOgQFi1ahPfffx8sy2LgwIH49ddfMXDgQKePLykpCSdPnsTq1atRWloKNzc3DBgwACtWrOiwzx8hhBBCyO3CGB3pAkEIIYQQQgjpdNOnT8fFixeRlZV1u3eFEEIIIYTcRlTTlhBCCCGEkC6gpKQE27Zt65AsW0IIIYQQcmej8giEEEIIIYTcRrm5uThy5Ai+++47CIVCPPnkk7d7lwghhBBCyG1GmbaEEEIIIYTcRgcOHMDDDz+M3NxcLF++HH5+frd7lwghhBBCyG1GNW0JIYQQQgghhBBCCCGkC6FMW0IIIYQQQgghhBBCCOlCKGhLCCGEEEIIIYQQQgghXchfqhEZy7IoLi6Gq6srGIa53btDCCGEEEIIIYQQQgj5CzEajaitrUVAQAB4vNbzaf9SQdvi4mIEBwff7t0ghBBCCCGEEEIIIYT8hV27dg1BQUGtPv6XCtq6uroCaH5RFArFbd4bQgghhBBCCCGEEELIX4larUZwcDAXp2zNXypoayqJoFAoKGhLCCGEEEIIIYQQQgi5LeyVbqVGZIQQQgghhBBCCCGEENKFUNCWEEIIIYQQQgghhBBCuhAK2hJCCCGEEEIIIYQQQkgXQkFbQgghhBBCCCGEEEII6UIoaEsIIYQQQgghhBBCCCFdCAVtCSGEEEIIIYQQQgghpAuhoC0hhBBCCCGEEEIIIYR0IRS0JYQQQgghhBBCCCGEkC6EgraEEEIIIYQQQgghhBDShVDQlhBCCCGEEEIIIYQQQroQwe3eAUIIIYQQ0raKigp8+uUynGwMRji/EoECDVxcXODr6wtvb294eHjAw8MDnp6ekMvlEAjoFI8QQgghhJA7GZ3RE0IIIYR0ESzL4ujRo9i/fz9YlrV4rIh1x9Umb6iNYgTwr0Kj0UCj0SA7O/umn5fP50MoFEIkEkEikUAmk8HV1RVubm5wd3e3CAjzeDRQixBCCCGEkM5GQVtCCCGEkNugpKQEO3fuRH5+vkPLNxmbg6WNRn6H70tTUxOampqg0+mgVqs7dNumgLBYLIZUKuUCwgqFAu7u7vDy8oKHhwdkMhkFhAkhhBBCCPkfCtoSQgghhHQinU6Hw4cP4/Tp09DpdO3eDgsGAGC4w1oSmAeEa2pqOmy7DMO0GhB2c3ODUqmEp6cnPDw8IJFIKCBMCCGEEELuKBS0JYQQQgjpACzLIj09HUeOHMH169c7fvv/C9o24uYzbQUCARISEsDj8VBYWIiqqio0Njbe9HZbI5FI4OLiAplMBqlUCoFAAJ1Oh7q6Ouh0OjQ0NKCxsRFNTU0Ob9NoNMJgMMBgMKC+vh7V1dUdtr+mgLBIJIJYLIZEIoFcLrcZEBaJRBQQJoQQQgghHe6ODdr+v//3/7Bo0SK8+OKL+PTTT2/37hBCCCHkL6S8vBypqanIzMzssGCnn5+fRbBXLBajoaGBm+YybY2WAcKWyznCYDDg3LlzFvMiIyMxefJkuLu7Nz8fy+L69etIS0tDfn4+KioqnH4eE51OB51OB5VKZXdZoVAIV1dXeHl5ITg4GJGRkfD19bUZGGVZFrW1tVCpVKisrER1dTVqamqg0Wig1WpRX18PvV4Pg8HQ7oCwVqt16ljtYRgGAoEAQqEQEokEUqnUIiBsqh+sVCohEok69LkJIYQQQsidgzEajcbbvRPOOnXqFO6//34oFAqMGjXK4aCtWq2Gm5sbampqoFAoOncnCSGEEHLH0+v1OHLkCM6fP9+hQ/tNPD09MXfuXPz+++8WtW2TkpJw4MABi2XTDD442RgCHljMk56xeKxPnz44c8Zy3s1SKBQYPXo0EhMT28wkraysRFpaGrKzs1FeXt7hQc628Hg8yGQyKJVK+Pv7Izw8HBERER0S7DQYDFCr1aisrIRKpUJNTQ1qampQV1cHrVYLnU4HvV6PxsZGq6ZxtwuPxwOfz4dYLOZKRsjlcigUCouAsJubGwWECSGEEEJuE0fjk3dc0Faj0aBPnz746quv8K9//Qu9evWioC0hhBBCbgrLssjIyMDRo0dRVFSEzjw9cnFxwcMPPwxfX1+kp6dj7dq13GN9+/ZFQkICli9fDgAYPXo09u3bBwC42OiLPw3BAIB5kj/BYyy3e//99+Pq1atWGbQdhc/nIzExEePGjYNEInFqXY1Gg/T0dGRlZeH69evQaDSd+hq3RiQSQaFQwNfXFyEhIYiKioK7u/stL29gMBhQXV3NZQjX1NRArVZzGcINDQ1chnBXCggLBAKIRCJIJBLIZDKLgLBSqYSXlxfc3NwgENyxg/kIIYQQQjrdXRu0nTdvHjw8PPDJJ59g5MiRFLQlhBBCiFMqKyuRmpqKq1evtnu4v7OEQiFmz56NiIgIAM0ZvB9++CE3ZF8kEmHhwoWorq7G0qVLAQBDhw7FsWPHuKDdhUY/nDYEAQAelJyFiGmCi4sL6urquOd57rnn4OLigg8++ICbx+fznSoN4AwfHx+MHz8e4eHhN70tvV6PK1euICMjA8XFxVCr1bc1YMnn8+Hi4gIPDw8EBgYiMjISwcHBXT4gqdfrbQaETRnC5gHhrnIZwOPxIBQKbQaElUolFxBWKBRUP5gQQgghd7y7Mmi7evVqvPfeezh16hQkEondoG1DQ4PFxZharUZwcDAFbQkhhJC/AIPBgGPHjuHs2bOoqqq65c/P4/EwdepU9OzZ02L++vXrcenSJW56zpw5iI6OhlarxUcffQQA6N69O6ZPn4733nuPW+5coz/OGgIBALMk5yFjbNfSffPNNyEQCHDgwAGkpqZy8728vFBRUdHq/nZEcFckEqF///4YOXJkpwQ3DQYDcnJycPnyZRQWFqK6uhoGg6Fd22IYBgzDdFhgWCKRwN3dHb6+vggNDUV0dDTkcnmHbLsrMBqN0Ov1XLmIqqoq1NTUoLa2FhqNBvX19VxAuKmpqcsEhPl8PgQCAddQTiaTwdXVlQsIm0pGyOVyCggTQggh5Ja464K2165dQ79+/bB792706NEDAOwGbd9++2288847VvMpaEsIIYTcPViWRXZ2Ng4fPozCwsJOy87k8XgObXvMmDEYNmyY1fyCggL8+OOP3HR0dDTmzJkDoDkYaQrQBgQE4PHHH8fHH38MjUbDLX+mMQDnDQEAgBnii3DjNd+YfvHFF/HZZ59ZPNeSJUsAAE1NTfjwww+h1+sBAK6urvD19UVWVlabxxAcHIxr167ZPVZHhIaGYuLEifDx8emQ7dnDsiwKCwuRnp6O/Px8VFZWcsfvLFP2p0AggMFggE6n65CsZYFAALlczjVbi4qKgp+f3182aMiyLHQ6HaqqqqwCwnV1dVxAuLGxscsFhIVCIVc/uGVA2NPTEx4eHpDJZH/Z95YQQggh1u66oO3GjRsxffp08Pl8bl5TUxMYhgGPx0NDQ4PFYwBl2hJCCCF3m5qaGqSmpuLKlSvQ6XTt2gaPx4NcLodarW5zOYFAAIVCgcrKSrvb7N+/P8aPH28zMMOyLD7++GOuQRfDMHj99de5urAsy+Ldd98F0BxUfeWVVwDA6sbzn42BuGjwBwBMFafBk1cPoLkJWVVVFXJzcy32/c033+Smz58/j40bN3LT06ZNQ05ODi5evNjmcbm6umLIkCHYvXt3hwXD5XI5hg8fjn79+t22QBbLsqioqMClS5eQl5eH8vLydn+eBAIBlEolfH19IZVKUV9fj7KyMtTU1HRI+Q2GYSCVSq2arTlbV/ivimVZ1NfXW2QIq9Vqi4CwqaFce7O2OxrDMK0GhE31g00BYYlEQgFhQggh5A5z1wVta2trLboqA8D8+fMRGxuLN954AwkJCXa3QTVtCSGEkDuDwWDAqVOncPr0aahUqnZvRygUIjY2FmVlZSgtLW1zWZFIhN69eyMjIwPV1dV2tx0bG4v77ruvzYDJnj17cOTIEW566tSp6N27t8UypuAsn8/HP/7xDwDAzz//bBGEBYCTjUFIM/gBACaKrmDqkHicOHECQHNmbcsgr6+vL5566ilummVZfP7556ipqQHQ/Nq8/vrr2L17N06ePGn3eJOSkhAZGYkVK1Z0aC1ghmEQExODSZMmdblyAjU1NVwDtbKyMovMZ2fw+Xy4ubkhICAAsbGxCA8PR1FREXJyclBcXIzKykpotdoOCYyLRCK4urrCx8eHy+L19PSkwF4nYFkWGo0GlZWVqKystAgIa7Va6HQ6iwzhrsAUEBaJRFxA2MXFxWZAWCQS0eeGEEII6QR3XdDWFmpERgghhNz5cnNzcejQIRQUFNxUYEMikaB///4IDAzErl277GbIikQiDB8+HG5ubtiyZQsaG23XiDUXHByMhx56CCKRqM3lVCoVvvzyS27az88PTz75pNVy//73v7nnNZU0AKyzbAHguD4Yl5t8AQBjRVeRkhiE9PR0bl2dTmfRgAwAevfujalTp1rMy8vLw/Lly7npESNGYNSoUdi/fz8OHjzY5nEBzZmyjz/+OIDm4PLNBNVb4+HhgeTkZMTFxXX4tjtafX09Ll++jMzMTJSUlKC2trZdwVeGYeDq6gp/f39ER0cjLi4OMpmMywrOysrCtWvXUF5eDrVa7dDn1R4ej8c1WwsICEBERATCwsK6fLO1vwKWZVFbWwuVSgWVSoXq6mqo1WpoNBpotVouQ9hgMHSpgLBAIIBQKIREIoFUKoVcLucCwqb6wUql0u5vKCGEEHI3o6CtDRS0JYQQQm4ftVqNgwcP4vLly1ypgPaSyWQYPHgwBg0ahEuXLmHv3r12syCFQiGGDRuGIUOGIDU11SIDti2enp6YO3euQ+cOLMti2bJlFg2/XnzxRbi7u1st+9lnn3EZvYsXL+Yy2lpm55oc04fgSlNzXdjRoix0kzUHbYxGIxcU3rp1K06fPm2xnq3sXgD44YcfLOrWLly4EDKZDMePH8fOnTvtHisADB8+HKNHj4Zer8eaNWuQnZ3t0HrOEggE6N27N5KTk+/IYI/BYMDVq1dx5coVFBUVoaampt2BNhcXF/j4+CAyMhIJCQlwc3OzeFyr1SInJwe5ubm4fv06qqurUV9f3yF1YMViMdzc3CyardE59Z3HYDBArVZDpVKhsrISNTU1qKmp4QLCpoZyjY2NnVYj3Fk8Ho/LEDY1lHNxcYFCobAICLu7u0MoFN7u3SWEEELa9JcI2jqLgraEEEJI52NZFqdPn8apU6dQXl5+09sz1VUdMGAAAODw4cM4evSo3SH6QqEQQ4cOxfDhw2EwGJwKKsrlcjz88MNONc86deoUtm/fzk0nJSVh5MiRNpf98ccfUVBQAABYtGiRRSDSVpYtABzRh+JqkzcAYIQwB5GCSjz++OP49ttvAdzI1P3nP/9pFaB74okn4O/vb7XNiooKLF26lJvu2bMn7rnnHgDAuXPnsGnTprYOmWPKvlUoFGBZFrt27eJKN3SWgIAATJw4EYGBgZ36PLcKy7LIy8vD5cuXUVBQgKqqqnZn00okEnh5eSE8PBzx8fHw9vZutd5yUVERsrOzUVhYCJVKBY1G0yG1Xfl8PtdsLTAwEJGRkQgKCqLh9nc5g8GA6upqLiBcXV2N2tpaq4CwwWDoUgFhgUBgERCWy+UWAWEvLy8oFArKQieEENIhKGhrAwVtCSGEkI517do1HDhwAHl5eR0yRNfd3R1DhgxB3759wePxYDAYsHv3bpw+fdru9oVCIYYMGYIRI0aAx+OhoqICq1atslkmgWEYq8CmSCTC7NmzER4e7tQ+a7VafPTRR9y0q6srXnrppVaDUxs2bMCFCxcAAK+++qpFHddLly5h/fr1Ntc7pA9DVpMXAGCwMA+xggqLWram4G/Lxma1tbUAgDfeeKPV5lXr16/HpUuXuOnnn38eHh4eAIArV67gt99+s/9C/M+wYcMwZswYbvrUqVP4448/OiTTsy0SiQSDBw/GsGHD7trAIMuyKC0tRVpaGvLy8lBRUdHu+sIikQgeHh4ICQlBXFwcQkJC7L5uarUaWVlZyM/PR2lpKWpqatrdwM0cwzCQSCRwd3eHv78/wsLCEBkZCZlMdtPbJncPvV6P6upqVFRUoKqqCjU1NVCr1airq7MKCHeVS1wejwehUGgzIKxUKqFUKuHt7Q1XV9e79neLEEKINQra2kBBW0IIIaR9tFotDhw4gLS0NNTV1XXINj09PTFs2DD06NGDu1jVarXYvn070tPT7V50CwQCDBkyBElJSdz6ly9fxsaNG6HX662WFwqFVpmLPB4P99xzDxITE9t1DC0bhj3++OMICAhodfnU1FQcOHAAAPDUU0/B19fX4vHWsmwB4IA+HDlNngCA/oJrSBCWYsmSJfjggw+g0+kglUrx+uuvA4BFiQNvb28u49m8DENLLYPPoaGheOSRR7jplrVw7ZHJZHj88cctSkPk5ORgzZo1HdrIrC2RkZGYNGkSlErlLXm+rqKyshJpaWnIzs5GeXl5u8uR8Pl8uLu7Izg4GDExMYiKinI409BgMCA/P59rtqZSqVBXV9ch2ZVCoRCurq7w9vbmmq21lk1MiD0sy0Kv16OqqgoqlQpVVVVchnBdXR3q6+u5gHBTU1OXCQjz+XwIBAKIxWJIJBK4uLhYBIRNJSPkcjl9NwghpIuhoK0NFLQlhBBC2sayLM6fP48TJ06gtLS0w7br4+ODESNGIC4uzuLisbq6Gps3b7YIfLZGIBBg8ODBGDlyJLcNlmWRmpqKQ4cO2VxHoVBArVZbzU9OTsbQoUPbeTTW2ae2Gn61dP78eWzcuBEAMGfOHERHR1s8XlJSgm+++abV9ffrI5DX1Jz92ltQhF7CEixevBgGgwHvv/8+AMtmZu+99x43zF0kEkGv14NhGLz11ltt7ufevXtx+PBhbnr+/PkICQlxeD9tGTJkCFJSUizmqVQqrFixAlVVVU5t62YoFAqMGjXK4kbBX5VGo0F6ejqysrJw/fp1aDSadgWjeDweFAoF/P390a1bN8TGxraa0d0almVRWVnJNVsrKyuDWq22efOlPfsnk8mgVCrh7++PiIgIhIeH35G1kcmdh2VZ6HQ6VFVVoaKiAtXV1aipqbEKCDc2Nna5gLBQKIRYLIZUKoVMJoOrqysXEPb09ISHhwdkMtlf/reUEELag4K2NlDQlhBCCLmhpKQEqampyM3N7ZBO9CZ+fn4YOXIkYmJibD7nli1bUFJSYnc7AoEAAwcOxOjRoy0uCvV6PdavX4+rV69arSMSieDt7Y2ioiKrxwYMGIBx48bd1AWmwWDABx98wAVDhUIhXn/9dbvZh+ZZqpMmTUK/fv2slmkryxYA9jZEooBtzhhNFJSgn7AIM2bMQGJiIreuee1a8zIJcrmca9Tm7u6OF1980anjVCqVeO655yxeO5VKha+++sqpzEmZTIbHHnvMKvNVp9Pht99+Q15ensPb6gg8Hg/x8fEYP348DcW3Qa/X48qVK7h69SqKi4tRU1PTrkxZhmHg4uICX19fREVFISEhwaIsiLN0Oh1yc3ORm5uLkpISVFVVQavVdlizNYVCAR8fH4SGhiIqKgpubm4UmCJdDsuy0Gq1qKysRGVlJVcyora2FlqtFvX1zc0qTRnCXQHDMFYBYRcXF5sBYYlEQt87Qshdi4K2NlDQlhBCyF+RTqfDoUOHcPHiRa6+aUcJDAzEqFGjEBkZafPxzMxM7Nixw2Zd2Zb4fD4GDhyIMWPGWF2oVVZWYuXKlVCpVFbrKZVKBAUF4eLFi1aPxcbG4r777uuQC79Nmzbh3Llz3PTs2bNtBqZbMm/2ZSvjFGjOevz444/b3M7uhigUsu4AgDh+KQaJriEsLAzz5s3D119/jevXr4PH42Hx4sXcOhkZGVi9ejUAYPr06diwYQMAoHv37rjvvvvs7vvp06exdetWbnrmzJlISEiwWEatVuPLL790OvA/ePBgjB071mo+y7LYsmWLxWt9K3l7e2PcuHGtfqaJJYPBgJycHFy5cgXXrl1DdXV1uxuZSaVSeHt7IyIiAgkJCfD09Lzp/TPVATZl8VZUVKC2trbDmq25uLjA09PTotkaNasidzqWZaHRaFBZWQmVSsVlCJsaypkCwqYM4a7AFBAWiURWAWE3NzcolUp4eXlBqVRCJBJRQJgQcltR0NYGCtoSQgi5m7Esi7S0NBw7dgzXr1+3m3VmqxlXW4KDgzFmzBiEhoa2uszZs2exb98+LquzLXw+HwMGDMCYMWPA5/OtHs/IyMCGDRts1j+NiopCUFAQUlNTbe7nQw891GHDnwsLC/H9999z05GRkXjooYccWte8TmxbgdL333/f7lDwXQ3RKGLdAADR/AoME+VBKBTi73//u0VWrXmJBAD4v//7Py5Y//zzz+OLL74AAIwdOxaDBw+2ewwsy+KTTz7h3lOxWIzXX3/d6oJXq9Xiiy++cLoxlVQqxWOPPcY1PmvpyJEj2LNnj1Pb7EgikQj9+vXDqFGjKBjXTizLorCwEJcvX0Z+fj5UKlW7Sx+IxWJ4eHggLCwM8fHx8Pf379Dgi0ajQXZ2NvLy8lBaWorq6mrodLqbzuI1NVtzc3ODn58fl8V7MxnHhNyJWJZFbW0tKioqUFlZierqaqjVamg0GtTV1UGn03EN5bpSQFggEEAoFEIikUAqlUIul8PV1RXu7u5chrApIEwIIfZQ0NYGCtoSQgi5W5SWluLgwYPIyspyKPghEAgczixjGAahoaFITk5GYGBgq8uxLIvDhw/j6NGjDjWW4vP56NevH5KTk20Gv1iWxaFDh3DgwAGbAZKhQ4fC29sbmzdvthqi7enpiblz53bo3/eWwUqGYfDaa685PIzeYDDgvffeAwD4+/vjiSeeaPV5TAHXtuxo6IYStvn4wviVGCXKAXAjSGsqkTBx4kT079/fYl3TYzweD7Nnz8bKlSsBAPPmzUNYWJhDx5OVlYUVK1Zw02PGjMGwYcOsltPr9fjyyy/bldU9cOBAjB8/vtXHL1++jA0bNjid1evsDQp7QkJCMHHiRKtGcuTmlJeX49KlS8jNzUVFRQXq6+vbtR2BQAClUong4GDExcUhIiKiU7LqDAYDCgsLkZOTg8LCQq7ZWkcEmgQCAVxdXeHl5YWgoCBERUXBz8+PsgMJaYPBYIBarYZKpbIKCGu1WjQ0NKChoQEGg6FDmiJ2BB6PB4FAwGUIy2QyuLi4QKFQwM3NjWsop1Qq6cYhIXcRCtraQEFbQgghdxq9Xo8jR47g/PnzqKmpsbu8WCwGy7IOB7V4PB4iIiKQnJxsNwBlMBiwa9cunDlzxqGgBI/HQ79+/ZCSktLqhYbBYMD69etx5coVq8dEIhGmTZsGqVSKVatWWR2TXC7Hww8/DB8fH7v74qx9+/ZZNDebPHky+vbt6/D6LevJvvrqq60uu3TpUlRUVNjd5vaGGJSyrgCAIF41UsRZAG4EbTdv3oyzZ89azDMpLi7Gt99+C6A5+M3n83Hw4EEAwKuvvupUtt8333zD1SRmGAavv/66zcZTBoMB//3vf22WtLBHIpHgsccea3N4/PXr17F69WqHvhfmOjqACwAuLi4YNmwYBgwYQEG1TqZWq5GWloasrCyUlZWhrq6uXe8nn8+HQqFAYGAgYmJi0K1bt07NkDMajaiurkZWVhYKCgpQWloKtVrt0A0vexiGgVQqhVKpREBAAMLCwhAREeF0QzhCSOsMBgOqq6tRUVGBqqoqVFdXo7a21iIgbMoQ7ooBYYlEAplMBrlczgWEPT094enpCYVCQQFhQm4xCtraQEFbQgghXRXLsrhy5QqOHj2K4uJiu0EIkUgEmUyGuro6hwO0fD4fUVFRGDNmDLy9ve0ur9VqsW3bNly+fNmhoAiPx0Pfvn0xduzYNk/+q6ursXLlSpSXl1s9plQqMXv2bADAL7/8YlVmQSQS4YEHHnA4O9RZlZWVXPkAAPDx8cHTTz/t9HZMma18Ph//+Mc/HFrWnq26WJQbm4Orfjw1JoibG7GZB2hN22oZtAUsg60LFy7E+vXrkZPTnK27ePFip4KNpaWl+O9//8tN9+nTB1OmTLG5LMuy+O677xxqPmfLgAEDMGHChDaX0Wg0WLVqFYqLi53evlgsbjVwxuPx2t14q1u3bpg4cSKdc94GOp0O6enpyMzMRElJCWpra9v9Prq6usLPzw/R0dHo3r37LWtYp9fruWZrxcXFXLO1jggGiUQiKBQKeHt7IyQkBFFRUfDw8KAbDoTcJnq9HlVVVVCpVFxDOVOGcH19vUVAuKuEb3g8HoRCoVVA2M3NDe7u7vDw8ICXlxdcXV3pt4UQGyhoawMFbQkhhHQFKpUKqampyMzMtJtlxTAMvL29wefzUVZW5vCwW4FAgG7duiE5ORlKpdKhdaqqqrB582bk5eU5tDyPx0Pv3r0xfvx4uxkaWVlZWL9+vc16pxEREbjvvvug1+vx888/W2Vm8ng83HPPPUhMTHRov9pr2bJlKCsr46aff/75VuustuXf//43F0i3FTw199tvv9nMMrZlsy4OKqMLAMCLqcMUyWUAwKJFi7gMQVPQNjExETNmzLDahnmAeMmSJfjPf/6Duro6h/bVkf1/8cUX4e7ubnNZlmXx66+/Ijc31+nnAZqzbxcsWAAvL682lzMYDNiwYQPS09Odfg6GYSCXy1st7SAUCtHU1NSuwJlSqURycjK6d+/u9Lqk4xkMBly9ehVXrlxBUVERampq2l3WQCaTwdfXF5GRkUhISICbm1sH723bWJZFeXk512ytvLwctbW1TpcRsYXH48HFxQUeHh4IDAxEREQEQkNDKSuPkDsAy7IWAeHKykrU1NSgtrYWdXV1FgHhpqamLhMQ5vP5XEBYKpXaDAh7enpCLpdTQJjcsShoawMFbQkhhNxKBoMBR48exdmzZ1FdXW13eTc3N4SEhKCystKhbFsToVCI2NhYJCcnO/X3rbi4GFu2bMH169cdWp7H46FXr16YMGGCQxfshw8fxr59+2wex6BBg5CSkgKDwYBff/0V165ds1omOTkZQ4cOdWjfbsbp06exdetWbnrEiBEYNWpUu7b12Wefce+1I9mrjmbZAsBGXXdUGZuz/NyZekyXpAGwfJ3Onj2LzZs3A7AdhK2qqsLnn38O4EZDNdM+yGQyLFy40OH9MdFoNPj444+56YiICDz88MNtrrNmzRpcvnzZ6ecy6devHyZNmmR3OZZlsX//fhw+fLhdz+Pm5sY1zbHFxcWF66DuLIFAgJ49e2Ls2LHUuKaLYlkW+fn5SE9PR0FBAaqqqtodCJVIJPDy8kJ4eDji4+Ph7e1924INWq2Wa7Z2/fp1VFdXo76+vkMCNqZmaz4+PggLC0NUVBRddxFyF2JZFjqdDpWVlVCpVKiurrYZEG5sbOySAWGxWMwFhF1dXbmAsKlkhFQqpYAw6VQUtLWBgraEEEI6A8uyyMzMxNGjR1FYWGg3C08kEiEiIgKBgYG4cOGCzTIBba0bHx+P0aNHO911PDMzE3/88QeqqqocWp5hGPTq1Qvjx493KKhkMBiwceNGpKWlWT0mFAoxZcoUJCYmgmVZrF271maG6YABAzBu3LhbcqKs1Wrxn//8h7uQkMvlePnll9v93D/++CMKCgoAWGa/tmb//v1cXdm2mJrI/a6LR41R2ryvTAPuk1wEAPj5+eHJJ5/kljcFYVsLGptnxz7xxBPw9fXl6u+Gh4dj7ty5dvfJll27duHYsWPc9GOPPdZmIzsA2LJlC86cOdOu5wOaSxssWLDAoXIfAHD+/Hls3bq1zaZ8rTXt4/F4iIyMxLVr12xmjAOAt7c36urqoNVqHTuAFvz9/TFhwgQEBwe3a31y67Esi9LSUqSlpSEvLw8VFRXtrlMrFArh6emJ4OBgdO/eHSEhIbc9aMCyLAoLC5GdnY2ioiJUVFSgrq7O4caWbREIBJDL5fD09ERgYCCioqIQGBh424+ZEHJ7sSwLrVaLyspKVFZWciUjamtrodVqrQLCXQHDMFYBYRcXF7i6ukKhUECpVMLT0xMeHh6QSCT0O0coaGsLBW0JIYTcrOrqahw4cABXrlxpNXBjwjAM/Pz8MGDAANTW1uL06dNONU0Si8Xo0aMHRo4c6XQdRZZlce7cOezbt48b/m4PwzDo2bMnJkyY4HDmX01NDVatWoXS0lKrx9zd3TF79mz4+vqCZVns2LEDp06dslque/fumDlz5i09gf3111+RnZ3NTS9YsABBQUHt3t7GjRtx/vx5AI439mqZZSuXy61q+AJAQkICLl26hHW6BNQamxsLidGIOdLm5+PxeFi8eDG3/LvvvguWZeHt7Y1nnnnG7nMvWbLEIlt2+PDhGD16tN39t0Wv1+ODDz7gblx4eXnh2Weftbve7t27cfTo0XY9p0lbdXVtKSgowJo1a9r8fgiFwlZrCHp6eiI0NBTnz5+3edHIMAzCwsK4hjXtIZFIMGjQIAwfPpwu8O5wVVVVuHTpEnJyclBWVtbuwD6fz4e7uzuCgoIQGxuLqKioLlWqQK1WIysrC3l5eSgrK0NNTY3dv5WOMDVbc3d3h5+fH8LCwhAdHU3N1gghTmFZFhqNxipD2NRQrr6+nhtB09UCwiKRyCJDWCwWo0qjRV6DHK89OAFKufR27ypxAgVtbaCgLSGEEEcZDAacPHkSp0+fRmVlpd3lFQoFEhMT0a9fPxw/fhwXLlxAfX29w88nlUrRq1cvJCUlQSwWO72/LMvi8OHDOHr0qMNZXgzDIDExEZMmTXJqeHZubi7Wrl1r8/jCwsIwa9Ys7kL68OHD2Lt3r9VyISEhePDBB2/5sPCMjAysXr2am+7Zsyfuueeem9rmgQMHkJqaCgB46qmn4Ovra3edtLQ0rFu3zmJea0HbRYsW4f3338daXSI0xubPBh9NmCs9yy1jXgrBvElYa3VqtVotPvroIwDNn92XX34ZBQUF+PHHHwEAs2fPRkxMjN3jaM2JEyewY8cObnrWrFmIjY21u96RI0ewZ8+edj8v0JyN/uijjzr0PpjU1NRg5cqVFjWNW2IYBi4uLjbfI4Zh0L9/f2i1Wly6dMnm+gKBAImJiSguLrZ5k8PEXvOziIgITJo0qV31lknXVldXxzVQu379OjQaTbuGFPN4PCgUCvj7+6Nbt26IjY3tksFNg8GA/Px85OTkoKioCJWVlairq+uQZmtCoRCurq7w9vZGcHAwoqKibmtJCkLI3c9gMECj0XD1g6uqqrj/6urquGZyHfEbZ3Kh0Q+nDUHoJSjCxn890WHbJZ2PgrY2UNCWEEKILbm5uTh48CAKCgrsnkgJhUJEREQgKSkJMpkMe/bsQUZGhlN1Dl1cXNCnTx8MGzas3UFLg8GAXbt24cyZMw5nAjAMg4SEBEycONHpC/hjx45hz549Nl+fliUNLl68iI0bN1ot6+XlhXnz5jld1qEjGAwGfPjhh9z7JBAIsHDhwpsOGp8/fx4bN24EAMyZMwfR0dEOredMLdtXX30VH3/8MX6r7wEtbuzvI5I/wTDN/24ZnDVtf+HCha1mae/cuRPHjx8HAMycORMJCQk4fvw4du7cCQB44YUXHG5iZwvLsvj444+5jEKpVIrXXnvNoaBJyzrDQPPn19nT1l69emHKlClOBWr0ej3WrFljkYlti4+PDyoqKmx+Jzw9PTF+/HgcOXKk1cZ+UqkUQ4cO5bISWyMUCtv8fXF1dcXIkSPRq1cvCkj9Bej1emRkZCAjIwPFxcWoqalpVwDAdBPC19cXUVFRSEhIuC2/zY5iWRaVlZXIyspCQUEBysvLoVarodfrb3rbPB4PMpkMSqUSAQEBCA8PR3h4ONWaJuQvwFS33hRora6uhlqt7tKZt+ZO6IOR3uSLcL4Ke999iM4D7iAUtLWBgraEEPLXplarceDAAVy+fNmhLFhTaYOePXuitLQUe/fuRW5urlMXyHK5HP369cPQoUNvagirVqvFtm3bcPnyZYcDVwzDID4+HpMmTXI6SMuyLDZu3IiLFy9aPSYQCDB58mT07NmTm5ebm4tVq1ZZBZfkcjnmzp3rcM3RzrB582acPXsjK9XRrE978vLysHz5cgDAxIkT0b9/f4fWKykpwTfffAPgRnZtTEwMMjIybC5/7733Yt26dVhV3xM6CLn5D0nOQMg0fxZbBm0/+ugjaLVaiMVi/O1vf2t1X8yDx6YauGvXrkV6ejoA4M0337zpodcts5vHjRuHQYMGObSurYxkiUTi9HDr9mTfAmizrIc5T09PMAyDiooKq8cYhsGAAQOQkJCAzZs3t1rDWqlUYuzYsbhw4QKuXLnS6vdcIpFAr9e3+jvE4/HQvXt3TJgwwemyKuTuwLIssrOzcfnyZVy7dg3V1dXtrkErlUrh7e2N8PBwJCQkwMvLq4P3tnPodDrk5OQgLy8PxcXFqKqq6rBma2KxGAqFAr6+vggJCUF0dDTc3NzAmO6iEUI6lMFgQHV1NVQqFVdyqLa2lgus6nS6Tsli7QrEYjFcXV2hUqls/n4d04fgSpMPfHm1WBCmxhNPULbtnYKCtjZQ0JYQQv4aWJbFqVOn8Oeff9oMorQkl8uRkJCA4cOHQyaTITMzE6mpqSguLnbqeRUKBQYMGIDBgwff9J3uqqoqbN68uc0MPFvi4+MxefLkdg2FVavVWL16NUpKSqweUygUmD17Nvz9/bl5paWl+OWXX6xqgopEIjzwwAMICwtzeh86UnFxMb799ltu+maabLWkUqnw5ZdfAgCGDBmClJQUh9e1lWXbu3dvi8CyuSFDhuDo0aNYUd8LetwIoM6WnIOUaQ7EvPTSS3Bzc+Me0+v1eP/99wG0XiIBaL4Qeu+99wBY1sb9/PPPuYZ1ba3vjK+++ooLWPJ4PLzxxhsOZ7JlZ2fj119/tZjn6ekJlUrV5np8Pt8qM6Znz56YOnVqu76jJ0+exM6dO9u8KBSLxYiJicGlS5dsLqdUKnHvvfeipqYG27dvt1luAQACAwMxdepUnDp1CmfPnm01w0cmk4FhmDZr83p5eWHcuHGIioqyc4Tkr4JlWRQVFSE9PR35+flQqVTtzloVi8Xw8PBAWFgYunfvjoCAgDsq24tlWZSUlCA7OxuFhYWoqKhAbW1thzRb4/P5cHFxgaenJ4KCghAREYGgoKAuVYeYkI6g1+tRVVXFBVZramqgVqtRV1eH+vp6LrDa1NR0VwRWeTweeDwe+Hw+jEZjuwLGDMNALpcjKCgIcXFxiIuL434b9Ho9fvrpJ5vn5OYjjw7rQ5HZ5M01qG2tCS3peihoawMFbQkh5O5TUFCAgwcPIi8vz+6wJYFAgLCwMCQlJSEoKIhr1nX06FG7wZ+W3N3dMXjwYPTr169DTo6Ki4uxZcsWXL9+3an1unfvjilTprS7XmFeXh7Wrl1rsylOSEgIZs2aZZGtp1ar8fPPP1u9XjweD9OnT0dCQkK79qMjsSyLTz/9FLW1tdy8tsoEOMu8HmxcXBzuv/9+h9c1b/jl4eFhVS+5ZQkAhmEQGRmJrKws/FLfGwbwucfuFV+AK685yDJo0CCMGzfOYlum4PD8+fMREhLS6j6Zl0QYNmwYxowZAwD45z//CaPRCKFQiL///e8OH2NbWgbSBw4ciPHjxzu8fmFhIb7//nuLeSEhISgoKGhzPVulFYRCIebPn29xI8IZWVlZWL9+fZtZvwzDYODAgcjNzW21jm3//v0xduxYnDp1Cqmpqa0GzmJiYjB16lScPHkSx44da3U5iUQChUKB8vLyVrMKhUIh+vXrh9GjR1PwiLSpvLwcly5dQm5uLioqKpyq1W5OIBBAqVQiODgYcXFxiIiIuGMDCxqNBllZWcjPz8f169e5Zms3e1nNMAwkEgnc3Ny4ZmtRUVFwcXHpoD0nf2Usy0Kn01nUW1Wr1aitreUCqw0NDVwZgLs5TMTj8SAUCiGXy+Hh4QEvLy/4+PjA398fnp6eEAgE3IiFixcv4tq1a6ipqXH6NTH97oWHh6Nnz57w8/Oz+7vXsidAS08//TR+/vln7kbtQX0Yspu8wAOLuZIz8PT0wPPPP+/UfpLbg4K2NlDQlhBC7lwajQaHDh1CWlpamxllJt7e3hgwYAD69OkDHo8Hg8GAw4cP48yZMxbBPEd4enpiyJAhHVozMjMzE3/88QeXzeiouLg4TJ48+aYCkCdOnMCuXbtsZgT07dsXEydOtDhOvV6PX375BYWFhVbLjx07FoMHD273vnQ086ZggHNlCxxhnpnq7+/v9DC0Dz/8kAt6iEQi6PV6TJkyBVu2bLG5vJ+fHwwGAyoqKvBzfR804cb7Mk2cBg9e87aUSiVeeOEFi3W/++47FBUVgWEYvPXWW23u17///W+utMVrr70GFxcXsCyLd999t93H2pYVK1YgKyuLm3755ZedOjcrKyvDf//7X4sLqOjoaGRmZtpdVyqVWgWeEhMTcc8997T7+11RUYGVK1fa/T5HRUUhODgYBw8etHmTyc3NDTNnzkRgYCB27tyJP//80+b3lMfjoV+/fkhJScH58+exb98+mzdegOaLxuDgYJSWlra6DAAEBwdj4sSJ8PPzs3O0hFhSq9VIS0tDVlYWysrKUFdX1+4Gam5ubggMDERMTAy6det2x9eVNRgMKCwsRHZ2NoqKiqBSqVBXV9chtTEFAgFcXV3h5eWFoKAgREdHw9fX944NhpPmwKpGo0FlZSVXX7WmpsaivqopsMqy7F0dWG0Nj8eDSCSCXC6HQqGAh4cHF3D18fFx+DdDq9Xi4sWLyMjIwPXr19t1Q0oikcDPzw/dunVDYmJiu+uCq9VqfPfdd21enzz++OMICAhAUVERvvvuO25+qj4CuU3NjUlNI7A6orQV6XwUtLWBgraEENL1mbJfT5w40WYndxOZTIb4+HiMGDGCO1nSarXYv38/Ll265HTtS29vbwwfPhzx8fEdduFjOqZ9+/Y5FHA2FxsbiylTptxUkJZlWWzZsgXnzp2zeozP52PixIno06eP1Tpr1qyxWWd10KBBSElJ6VIXhtXV1fjss8+4aS8vLzz99NMduo/mQUy5XI5XX3213eubN5eaO3cufv75Z5vrPPHEE/j555+h0+nwU31fGMGADxZN4GGS+DJ8eDc+Ty3LGJg/n70SB+bLmi+v0+nwwQcfAGjOCJ04caIzh9ymmpoafPrpp9x0TEwMZs+e7dQ2qqur8eWXX1oEQGJiYpCTk2O3OaCLi4vV91EgEGD+/PkICAhwaj/M6XQ6rFq1ym72r4eHB6ZMmYLdu3e3WoqlT58+mDRpEvR6PTZu3Nhq3WORSISRI0di4MCByMzMxI4dO1BdXW1zWT6fj27dukGtVqOoqKjV/ZPJZBg2bBgGDhzYpb7r5M6k0+mQnp6OzMxMlJSUoLa2tt0N1FxdXeHn54eoqCjEx8ffNbWbWZZFTU0Nl8VbVlYGtVqNhoaGm942wzBcszV/f3+Eh4cjMjLyjg+K3w4GgwFqtZrLWDWVAWhZX9UUWCU3mDJcXVxcIJfLoVQq4e3tDT8/P/j7+0MikXTI3xuWZVFaWooLFy4gJycHlZWVTpc7YRgGbm5uCAoKQnx8PKKjo8Hn8+2v6ITt27fbrZk/b948i3JjLUts7W2IRAHb3DR2ijgdXjxtu85Rya1HQVsbKGhLCCFdS3FxMVJTU5Gbm2v3ZIrP5yM0NBTDhw+3OHmprKzE3r17cfXqVadPyHx9fZGUlISYmJgOD+4dOnQIR48edbpGoGkI9M1ehGo0GqxatcpmMMjV1RX3338/goKCrPa7taZL8fHxmDFjRpcM3nzzzTcWNb+ee+45eHp6dvjzmE6U+Xw+/vGPfzi9/rJly7gbEYMHD8axY8cgk8nQ1NSEhoYGrv6q+VD+JUuW4J///CdY1oifdP0AAFI0oh5CjBNlIIB/IyvDVmDWtM8pKSkYMmRIm/tn3vQrMjISDz30EADLxmn33HOPRQO6jrBt2zb8+eef3PRTTz3ldMMwjUaDL7/80iK4ERkZyTUuscd0fmiuIz7zLMti06ZNuHDhQpvLiUQiTJ06FbW1tdi7d6/N3zKFQoHp06cjLCwMKpUKGzZsaDXoKpfLMWnSJMTGxqKwsBBbt25ttTwD0Py7I5fLceHChVaD3QzDIDo6GpMmTaLzaNIpDAYDMjMzkZGRgcLCQlRXV7c7I1Umk8HX1xcRERFISEiAu7t7x+5sF6DX65Gbm4ucnByUlJSgqqoKWq22QwKFIpEICoUCPj4+CA4ORnR0NJRKZZc8B7BFr9dbNK4yr6+q1WrR0NBw1zau6iwMw0AoFEIqlcLFxQVKpRKenp7w9fVFQEAAFArFLft8GAwGZGRkID09HYWFhaitrXU661goFMLT0xMRERHo2bMnfHx8OmlvLRUWFmL58uV2r1nmzJmD6Ohoi3mmslXmdjdEoZB1BwCMFmUhlF8NAHjjjTfaXTqN3BoUtLWBgraEEHJ76HQ6HDx4EBcvXmy16Y45T09P9OvXD/369bMY3nPt2jXs27cP+fn5Tp+c+fv7Y9SoUVYnQB3BYDBg586dbTYLak10dDSmTp3a7iFV5q5du4Y1a9bYfI2DgoLwwAMP2AwGHzp0CPv27bOaHxISggcffLDLZuKcPXsWmzdv5qaHDh2K5OTkTnmu999/nwvAt7cxl60GZM8++yyWLl0KoDnI0HL4+pIlS/DOO++gycjgZ11fAIAbo0ONUYIxokyE8Gsslm3JPIvDkf3+v//7P254nmkoHgCcO3cOmzZtAtC+oKo9DQ0N+OCDD7jvtZ+fH5588kmnt6PT6fDll19aZNAGBQVBoVAgPT3d7vq26uMKBAI88sgjCAwMdHp/Wjp48CBSU1Pt/n4NGjQIAwcOxO+//45r167ZXKZnz56YPHkyBAIB8vLysGXLFqsaySbe3t6YPn06/P39oVKpsGXLFuTn57f6/KGhoejRoweOHTvWZjNHd3d3JCcnIz4+vs3jIaSjsCyL/Px8XL58GQUFBaisrLSbVd8aiUQCLy8vhIWFISEhAd7e3ndMUNJZLMuivLwcWVlZuHbtGsrLy1FbW9vu184cj8fjmq0FBAQgIiICoaGhbQ7PZlkWDQ0NXBkAU2DVVn1Vg8HQpcoA8Pl88Pl88Hg87iYry7JgWbZL14IVCASQSCSQy+Vwc3ODh4cHfH194e/vDw8Pjy41nF6tVuPChQvIzMxEaWlpu7LNZTIZ/P39ERMTg8TExNsawGRZFr/++ityc3Mt5ru6ulqVRLj33ntt/k1t7Vx9Z0M3FLPNsa1BwnzECZobvopEIixatKijDoF0Agra2kBBW0II6Vwsy+LixYs4fvw4SktL7Z64SqVSxMbGIikpCW5ubhbbycjIwMGDB51uzAU0B2lGjx6N8PBwp9d1hFarxdatW3HlyhWnT86joqIwbdq0DgnSAsCff/6JHTt22AwW9+7dG5MnT7Z5EXr+/Hls2rTJav+9vLwwb968Dtu/zqDT6fDhhx9y+y6TyfDqq6922sX2559/ztUqbW9X3jVr1uDy5csAgGnTpnEB0EWLFuH9999vdT1T0LbRyMOvuuYSFj78OpQ1uSBJmIMIQaXFsraYgsWOBpvNg8vm62zZsgVnzpzh9rszgvlHjhzBnj17uGlbmSaOMBgMWLp0qUWJAB8fH/Tq1Qu7du2yu76rqyvEYrFVwLJ79+6YOXNmh3zW0tPTsXHjRrtBk9DQUMyePRsXL17E7t27bS4vl8sxffp0REREAGj+fu/atavVGrZhYWGYPn06FAoFNBoNtm3bhitXrrS6D35+fkhOTsa5c+eQnp7eamYan89Hjx49MHbsWMrwIbeNaWh0eno6cnNzoVKpnC6VZCIUCuHh4YGQkBB0794dISEhd21g15xWq0VmZiays7NRXFwMtVrdIQHeW4HH44HP50MkEkEikUAqlUImk0EgEIBhGBgMBjQ2NkKn03F1Yrt6KQM+nw+xWAyZTHZTdVy7ApZlUVhYiAsXLiA/Px9VVVVOJzzweDy4u7sjJCQECQkJCA8P75Lfy4sXL+L333+3mp+cnIy9e/danINPnToVvXv3trmdliWszG1viEEp6woASBSUoJ/wxggcZ/sFkFuLgrY2UNCWEEI6TmlpKVJTU5GdnW33RJ7H4yE4OBjDhg1DVFSUxWMsy+LPP//E8ePHnW7KxTAMQkJCMGbMGAQHBzt9DI6qqqrC5s2bkZeX5/S6UVFRmDp1KlxdXTtkX1iWxbZt27jgmTk+n49x48a12ngrJycHq1evtnq/XF1d8fDDD8Pb27tD9rEzrVy50qLZ1Pz58xESEtJpz/fTTz9xGYk3E6g0D4SGhYUhLy+PC7Dl5OS0up4paNtg5GOlrvlkPkSoQUGjHEOFeegmuBFUXLBggVXJC/Pnjo2NxaxZs+zua15eHpYvXw6guWzASy+9xD329ddfczdS2hvAtodlWXz44YdcZo2LiwteeeWVdj0Xy7L45ptvLEoDuLm5YerUqfjll18c2ka/fv0syjcAzd+1Rx55xObr3R4lJSVYtWqV3SaJCoUCs2bNgkKhwLp161rNlk1ISMC0adO4DtiHDh3C4cOHWx2OmZiYiMmTJ3PN8Xbu3Ilz5861GsRQKpUYN24c6urqkJqa2uZ++/n5YcKECZ36PSWkPaqqqpCWlobs7GyUlZW12aivLXw+H+7u7ggMDERsbCyio6NvWdYiy7JQq9WoqKhAVVUVqqurreqrNjQ0wGAwdEjzs1uNYRi4uLhAKpVCLBaDYRg0NjZyx9bY2NhlM1tNTI2zZDIZ5HI5PDw84OXlxdVxvVtqMpvo9XpcvnwZ6enpKC4udmiEXUsikQje3t6IiopCz549oVQqO2FPO4dWq8UPP/xgVZopNDQU06ZNw9KlSy2+i+PHj8fAgQPb3KatkVomW3WxKDc2J1pE8lUYIbqRzdvecl7k1qCgrQ0UtCWEEOfpdDocPXoU58+fh1qttru8h4cH+vTpg4EDB1pdtOj1ehw6dAhnz551uiEXj8dDWFgYkpOT4e/v79S6ziouLsaWLVvaleUbGRmJqVOndujfGa1Wi9WrV9scJi2Xy3Hfffe1GhApLS3FL7/8YvV6i0QiPPDAAxb1gbuyrKwsrFixgptOTEzEjBkzOvU5N23axDVvu5lshdTUVBw4cAAA0KtXL26bixcv5jInIiIikJOTw9W1BW40O3vnnXegMwqwStcLANBNqsHVejkGCAsQL7jRrC8hIQEzZ860en7zTA9Hs23N6wS3rGP73nvvwWAwgMfjYfHixU68Es4xr7ELAJMnT0bfvn3btS2WZbF8+XKL0gcymQyPPvoovv/+e4e6RsfFxUGlUlk1SIyNjcV9993XYQFsjUaDlStXWtRptoXP52P8+PHo168fzpw5g507d9qsoe3i4oJp06ZxGcsGgwHbt2/HuXPnbAY7+Hw+Bg8ejFGjRoHH44FlWRw4cADHjx9vtUa3i4sLRo8ejeDgYOzYsaPNGxFisRgDBw5EUlJSl8yMIsScVqtFWloaMjMzcf36dWg0mnYFCRmGgVQqhVwuh1wuh1AoRH19vUXjqq5WX5XP50MoFEIkEnHZqnK5HAqFAu7u7vDw8ICnpydcXV0tvsssy0Kn06GsrAylpaVcQLm2tpY7Xmd7ENwu5nVc5XI53N3d4enpCT8/PwQEBFgd+19BVVUVzp07h+zsbJSXlzvduwFoPr8JDAxEXFwc4uLi7qhM4dbs378fBw8etJjH5/Px0EMPwcfHB59++qlF0sSoUaMwYsQIu9s1Tx6wZZMuDpVGFwCAH0+NCeKrFo8/++yz8PLycuZQyC1yVwZtly1bhmXLlnGZTvHx8XjrrbcwYcIEh9anoC0hhLSOZVlcuXIFR48eRXFxsd2LEolEgm7duiEpKQkeHh5Wj2s0Guzbtw/p6elO16Li8XiIjIxEcnLyLWkMkJmZiT/++MPpTF+gOdg2bdq0Dv+7UlRUhN9++81mBltAQAAeeOCBVksYqNVqLF++3Kq+JY/Hw/Tp05GQkNCh+9qZDAYDPvroI+6igM/n4/XXX+/0E/wDBw4gNTUVAPDkk0/Cz8+v3dsyz5B4+umnsWzZMgA3smiB5gyM/Px8+Pv7c8G6iRMnon///njnnXegNQrxm64nGBjRU1GPc2oZ+ggK0VN448aCi4sLXnvttTb3wZnsWPP9fvPNNy1uwpge8/DwwPPPP+/Q9tqDZVksXbqU+yzz+Xz87W9/u6kstpbZ2iKRCM8++yzWrFnTamMvc1KpFCNGjMDOnTst5vP5fMydO7dDM0oNBgPWr1/fZukCk549e2Lq1KnQ6XRYt26dVe08k+7du2PatGncd0ij0WDjxo3Izs62ubxEIkFKSgr69Gkuz8GyLE6fPo3U1NRWMxNFIhGGDBmCoUOH4vDhwzhx4kSbw9PDw8MxceJEurAkt4XRaERDQwOqqqosGleZ11c1ZXV2pfqqDMNwgVWxWMw1iDLVLDUPrEqlUru//SzLQqPRoLS0FGVlZVCpVFzmbn19PRdYvlsIBAK4ubnB29sbwcHBiIqKgpeX118uCGuOZVnk5eXh4sWLyM/PR01NjdM3Evh8PpRKJcLCwtCjRw8EBgbeta9peXk5fvjhB6u/b7169cKUKVNgMBjw6aefWtwYHjJkCFJSUhzafnV1NT777LM2l9mgi0e1UQoAcGV0uFdyCQAQGBjIndO0txcD6Vx3ZdB2y5Yt4PP5iI6OhtFoxPLly/HRRx/h7NmzDjVAoKAtIYQ0q6iowIEDB5CZmWk3oMrj8RAYGIghQ4agW7duNk+8ysvLsXfvXmRlZTk9/M70u56SkmIz+NvRWJbFuXPnsG/fPqezfYHm4MK0adMsavB2lDNnzmD79u02X8MePXpg2rRprZ746nQ6/PrrrzaDTmPHjsXgwYM7fH8727Zt2yyGpd93333o3r17pz/v+fPnsXHjRgDtr6lqkp6ejrVr1wJoDnDW19ejvr4e48aNg1AoxNatWy2WN29K8dZbb4FhGLzzzjvQsCKsbegBPlgM9DLgaIUIPQQl6Cu0fL9bOzH/17/+haamJiiVSrzwwgsO7Xt5eTm++uorALDKqjUYDHjvvfcAtJ7h25GuXbuGH374gZseNmwYxowZc1Pb3LBhAy5cuMBN8/l8PPfcczh27BhOnjzp0DYmTZqE06dPW2Xlx8TE4P777+/QC1WWZbF3714cPXrU7rL+/v6YPXs2FAoFzp8/jz/++MPmb71MJsPUqVMRExPDzSstLcXGjRtbHWlgKi9hKu8BAJcvX8bOnTtRU1Njcx0+n48+ffpg7NixKC4uxo4dO9rMJHZ1dUVSUhJ69+59117sE+eYsjdVKhXXuEqtVttsXNWVmkExDAOBQAChUMhlrptqqrZ3H6VSKby9vREeHo6EhAR4eHigqqqKC7ZWVlaipqYGGo2GC7beiaURWtZx9fT0hLe3d6t1XFmWhUql4pqtlZWVoba2tl2ZoC3xeDzIZDJ4eHhwzdbCwsIgFApvetu3kk6nw8WLF5GRkYGSkpJ2lQSRSCTw8fFBt27dkJiY+JeLq7Asi/Xr11s1N3VxccGCBQugVCphMBjw2WefWZSG6Nu3LyZPnuzUc7VVFsFknS4BtcbmGvJ8sHhYcgYMY7nMY4891iHNVEnHuiuDtrZ4eHjgo48+woIFC+wuS0FbQshfjV6vx7Fjx3Du3DmLhjytcXd3R8+ePTFkyJBWMxnz8vKwb98+FBYWOn3BIRAIEBsbi+Tk5E4Jetpiqud49OjRdp24h4WFYdq0aXB3d++UfduxYwdOnTpl9RiPx0NKSgoGDRrU5vpr1qxBRkaG1WODBg1CSkrKHRnwKCkpwTfffMNNh4aG4pFHHrklz21ez9WU6XozzE+4zZuOLVmyBO+++y5YloVEIrGZhWgKwL7zzjtQs2Ksb0iEEE0YFcTHrkKgO78UA0XXbK7TknkA1pmMi9WrV3Ofr8GDB2Ps2LHcY5WVlfjiiy8AOFaTrSMsX77corb0q6++etNN83bs2IETJ05w0wzD4Mknn0RZWZnNBiK2REREIDExkWswZ8Lj8TBv3rxOqed69uxZbNu2zW4wRiaTYebMmYiIiOCycFvLqo2JicGMGTMsfv8zMzOxdevWVsvj+Pv7Y/r06RY1sa9du4atW7dalZIwYRgGcXFxmDRpEgQCAXbu3IkLFy60msXH4/EQFxeHCRMmwMXFpc3jJbcPy7Kora3lAqut1Vc1BVa7Ch6PB4FAYNG4ylQGwM3NDUqlEp6ennB3d+/QIJ3BYIBKpcL169dRXl4OlUoFlUoFtVoNvV5/04HneqMAeU1KRPJVEDG3tuyCeR1XV1dXKJXKLlfHVafTIScnB7m5uSgpKUFVVRXq6+s7JOAvFovh5uYGHx8fhISEIDo6ulPOI1sqKyvD+fPnkZOTg4qKCqczoxmGgaurK4KCghAfH49u3brdsvrMXV1mZiZWr15tlXmcnJyMoUOHAmj+Dfziiy8srrnae2P7gw8+cKiB4hpdIuqMYm76AclZSJjm39fJkydzyQGUbdv13PVB26amJqxduxbz5s3D2bNnHcq8oaAtIeRuxbIsMjMzceTIERQVFdkdyiQSiRAdHY2kpKRWm0+xLIu0tDQcPny41QvvtgiFQnTv3h1jxozpsCZcjjAYDNi5cyfOnj3brotCU6OAzmp6oNPpsGrVKovamiYymQz33Xdfm3VmWZbFH3/8YdUYCWguGzRjxow7LlDLsiwyMjLw69oNSNN7I4pfAVdec4C9I4JyjlKpVPjyyy8BWAco28M8+Mzj8TB+/Hhs374dYrEYf/vb37iA7uzZs7F69Wqr9ZcsWYLGxkb8+9//RjUrwYaGBIhgwNQYF6zLaEA3fjmGivKt1mmN6fmcfU3NA88t171y5Qp+++03AMCjjz7aqQ0BTaqqqvD5559z0/Hx8bj33ntvervmJTFMHn30UYhEInzzzTcODREViUSYP38+Nm/ebJVJGh0djdmzZ3fK9zMvLw9r1661mzXFMAxGjx6NYcOGAQAuXbqEbdu22bwwlEgkmDJlitU59qlTp7B3795WR2lERUVh+vTpFkGZiooKbNmyxebvnklYWBimTp0KpVKJtLQ07N27t82SNZ6enhg3btxNZcL/FRkMBqjVai6wWlNTYxVY1ev1aGxs7HL1VQUCAcRiMSQSiVV9VVNg1dXVtdODTA0NDVb1WtVqNbRaLerr67tMCYWT+iCkNflZ1T+/mzAMA+Z/aYU8Ho+b5vF4Vv/x+XyL/wsEAvD5fO6zZf6fUCjk/i0SicDn86HValFeXo7KykrU1taivr6+Q24+8Pl8yOVyeHp6IjAwEJGRkQgKCgKfzwcANLFG8HkMd66Unp6Oa9euQa1Wtyt5wtPTk7vR6Ovre8edM95Ker0eP/30k9Xfc19fX+78AGg+j/36668trpe6deuGBx54oF3Pe+7cOaubwK1ZXd8D9bhxo3WaOA0evOZyDAMGDOBGDj300EOIjIxs1/6QznHXBm0vXryIwYMHQ6fTQS6XY+XKlZg4caLNZRsaGixOKNVqNYKDgyloSwi5o1VVVSE1NRVXr161eweWYRj4+/tjyJAhiIuLa/XEjGVZHDt2DKdOnWp1eGtbxGIxEhISMHr06FuePaHVarF161Zcvny5XeuHhIRg2rRpnVqaoaSkBKtXr7aZqebn54cHHnjA7t+lQ4cOYd++fVbzQ0NDMWfOnC7bxEGr1SI9PR0XL15EUVFRmxc4aQYfnGwMQTd+OV4d4Y9x48bd0v386KOPADQ3lpo1a9ZNb/Of//wnd0H11FNP4b///S8A4IknnoBUKuXqlA0cOBAnTpxAcHCwRbO5JUuWcJm/lawUmxriIUEjHurrg+9OVyGCr0KSyLJuaVs1az/++GNoNBoIhUL8/e9/d/g4amtr8X//938W+2Vuz549OHLkCABg4cKFt+w3wLxRHAA888wzrd6EcsbJkyfxxx9/WMx78MEHERISgq+++srh38ixY8dCLpdbZevyeDw8/PDDndYEsKqqCitXrkRFRYXdZWNjYzFz5kwIBALodDps2LABV69etblsVFQUZs6cCYlEws0zlWw4fvy4zQAfwzDo3bs3JkyYYBFI02g02Lp1q81RAiZ+fn6YOnUq/P39oVarsX37dly9erXVIIVQKESfPn2QnJx8x2eG6fV6VFdXWwVWbdVX7SqBVVN9VYFAAIlEwgVWXV1doVAooFQq4eHhAQ8PD7i4uHRqoMhgMECr1UKtVnMlFGpra1FTU4Pq6mrudTQYDF2qlEJHS9WHI7fJEz0FxegjLLa7vCmAaTQabf5Hbr0sgyeONYZgtCgbgXz7zYClUin8/PwQExODxMTELpHRfCc6ceIEduzYYTGPYRjMmjXLopwQy7L44YcfLEqThYWF4eGHH273bxzLslyTWkesrO+FBgjARxOawMdU9yJ4NtwIMs+aNYu7uU7Ztl3LXRu01ev1KCgoQE1NDdatW4fvvvsOBw4csJlp+/bbb9usA0JBW0LIncBgMODEiRM4c+aMVUMpWxQKBVfawPyiuiWdToeDBw/i/Pnz7a5l1bNnT4wcObLN5+kslZWV2Lx5c5udVNsSHByMadOmwdPTs4P3zNL58+exdetWm0PTEhISMG3aNLuBhfPnz2PTpk1WF0ve3t6YO3fuLctAtcVgMCArKwtXr17FtWvXUFlZedPBg7ONAThnCEAQrxop4iyLIWedybw+q5+fH5588smb3qZ5EBhoDqaaTsKXLFmCZcuWcRkZQqEQjY2NuP/++7FmzRpu3t///nccPnwYe/fuRQUrw5aG7pBBjxfGROH/7S1AMK8KyWLLYe5t1f3V6/UW5RmcYV5fODw8HHPnzrV43Ly7sTPNzm6WTqfDBx98wE0HBgbiscce65Btm9c2Npk5cya6d++OVatWISsry6HtBAYGYu7cuTazdaKiovDAAw902uul1+vx22+/IScnx+6ynp6emDNnDncD6/Lly9iyZYtFAxUTsViMSZMmITEx0WK+TqfD1q1bkZaWZvM5hEIhhg8fjqFDh1ocs16vx44dO3D+/PlWf0c8PDwwfvx4REdHg2VZnDx5EocPH26zNnlgYCAmTZoEf39/u8fvDFN91aqqKq6+asvGVQ0NDVwt0a5yuWVeX9W8cZWrqytXBsDDwwNKpRISieSmPpem18gUcDYFTk2vjyn4bHqdDAbDXR9EvdV2N0ShkHVHguA6+gsLLR4z/d1pC8MwCAgIwNChQxETE9PlMzJZluVqBpvqBuv1eov/zOebbnyY/m/+76amJjQ1NVn8u6mpCSzLcv83/89oNHL/78hg976GCOSzHhaBdw8PD4wdOxbR0dFd/j25k9TU1OC7776zqEMLtF6j/ueff7Zo+BkQEIAFCxbc9HviSB1bhmG4z9Yv9b1hAB/uTD2qjVLcG9YI19Lz3LLm558zZ868o5oR3+3u2qBtS8nJyYiMjMTXX39t9Rhl2hJC7hTZ2dk4fPgwCgoK7Aa+hEIhIiMjMWLECLsXomq1Gnv27MGVK1fsnpzbIpPJ0Lt3b4wYMeK2ZXIWFRVhy5YtKC0tbXUZ85OXloKCgjBt2rRO70rOsix27dplURvThMfjYfTo0Q4FIHNycrB69Wqr98vV1RVz5869JcdRUlKCy5cvIz8/HyqVymbQ5mbxeDxIpVKLgMufjYG4aPCHN6PBZMkVAJ1fz9Y8o0Eul+PVV1/tkO1++OGH3Os2ceJEZGZmIjMzE8HBwXj00Ue5k/L4+HguwBUXF8dljPfo0QPTp0/HunXrkJaWhnLWBVsb4iBnGvD2jL54bf0l+PPUGC+2zIqMiIjAww8/3Op+mZ63PcPkzC8kbJVCMD/mW53N0bK0wdy5cxEeHt4h287IyLAqXzFp0iT069cPqampOHDggEPb4fP5WLBgASorK7Fu3TqLx3g8Hh566KEO22db2iqt0pJIJMI999yDuLg4AM1B1Q0bNuDKlSs2l4+IiMDMmTOtsrqqq6uxYcOGVssiyGQyTJgwweoikmVZpKam4vjx463+7ZLL5Rg9ejR69+4NoLmB2rZt2yyy1Vvi8/lwc3ODUCi0KAPQlQKFpuHbpvqqMpnMIrDq4eHB1Ve193eZZVno9Xouy9Q8cKrVai3qzJq/FqagFLmzbW+IQSnrijh+KQaJbH8vTM2R8vPzceDAAeTn59t972UyGbp3746kpKTbevO4K1OpVDh58iQyMzPbLPNiz2ZdHFRGF8QLrmNAi8C7QCDAI488Qg2mblLLprdA843J+fPnw9fX12r53377zeJvobe3N5566qkOCaD//vvvuHjxIjfd1vWNyfL6PmDBQ7ioFrl6VwxWVCO28cZN5YEDByI2Npbr10DZtl3HXyZoO3r0aISEhOCnn36yuyzVtCWE3G5qtRoHDhzA5cuXHQqE+fn5YeDAgejRo4fdk4GSkhLs3bsXubm57brYksvl6NOnD4YPH35bh5ZmZGRgx44dbTZOa+skJjAwENOmTeuQYdL26HQ6rFmzxuJOu4lUKsW9995r0WG9NaWlpfj555+tMp/FYjHmzJnTYU2MampqkJ6ejpycHJSVlUGj0dySC3OhUIgePXpw5TNaBsH69euHwsJCbC4QIK3JDwpGh5mSS9zjAoEAixYt6pSMElMgks/n4x//+EeHbLPl0LYlS5Zwz/Pmm2+Cx+Nxj7/55ptclq9AIOAys9944w1IJBJ88803KCkpQWmTHNv1sVAwOnz00FA8+ctpi+C2iUgkwqJFi1rdN1NGLMMweOutt5w6LvNMXdNxtWQ6zo4MgDvKYDDgww8/5IJ8CoUCL774Yod9bgoKCvDjjz9azBszZgyGDRuGzMxMrFy50uFtDR8+HCNGjMBPP/1kMawSaA6APvjgg52eQXX8+HHs3r3bod+AIUOGYMyYMdw+ZWRkYPPmzTZHa4hEIkyYMAG9evWyeqywsBAbN26ESqWy+TwSiQQBAQFgWZarD2rKjutqjauEQqFFYNW8cZWpDICbmxt4PB4MBgPq6uq4wKmp1IEpeGoeODU/Xgqc3vkYhoFMJoOXlxcUCgXXeKwj3luu5mkr341Nuu6oNMps1j9vacCAAZgwYYLFPL1ejyNHjuDcuXOtNiI0MZXjGjp0KGJjY/8SGaDl5eU4efIksrKyHGr2ayIWixEYGIhevXohPj4eBoMBH3zwgc3PxIr6XtBDgFh+GQaLWq8J3tmjNu42hYWFWL58udVouKFDhyI5OdnmOhs2bMCFCxe4aXd3dzz77LMdds3UcoSWI4xG4CddPwBAkl8TDlznI1qgwjCh5XWJ+XloRzTZJR3jrgzaLlq0CBMmTEBISAhqa2uxcuVKfPDBB9i5cydSUlLsrk9BW0LIrcKyLE6dOoU///zTobqCcrkciYmJGDZsmEP1p7KyspCammp1se8ohUKB/v37Y9CgQbc1QMuyLM6cOYP9+/e3WqrBdALa2gVOQEAApk2bBh8fn07bT3OlpaVYvXq1zRN0X19fPPDAA3Bzc7O7HbVa3VyrtEXpCx6Pxw3BdpRer0dGRgauXr2KkpIS1NTUON0xuKOIRCLEx8cjOTnZ6rPcMqgmEomwcOFCCAQCvPPOOzimD8GVJh+IYcAc6TmrbXd0vdT3338fen1zw7OOzDwwL30QExODcePGcY2zlixZgl27duHYsWMAmssZrF27Fq6urqitreW2YdofUx3akiZX7NDHwJ2pxxePJuHh709CyWhxjyTd6vnbOhbzgHJ7jvngwYPYv38/gObs71deeaXV7UdFReHBBx90+jluVsuyBtOmTbMZQGwv8wZzJkOGDEFKSgqqq6uxbNky7nNlj5eXFx5//HFkZ2dzpTFMGIbBgw8+eEsah2RmZmL9+vWtNhcz5+rqCn9/f9TX13MBx/r6+i4ZYOTz+XBxcYFUKoVUKkVTUxNKS0vbfH8YhoFIJILRaOQCp3fQ5dJdhc/nc6UcTO+JKcDdFZp9yWQyeHp6IjQ0FDExMQgICACPx4NarUZqaiquXLnSKSNVJkyYgOvXr+Ps2bNtLrdOl4BaowSR/AqMkl5z6MaH6besLQUFBVxWrr1tSqVSxMXFYdSoUXdkVm5paSlOnjyJ7Oxsp3o+iMViBAUFoXfv3q32lNDpdPjoo49a/e3UG/lYoWseSRDFr8BwUZ7d57VVd5U0Y1kWv/76q1WihVKpxIIFC+Di4mJzve3bt+PUqVPctFwux/PPP9/hIxBblkVorYSJQqHgbqI0GRn8rOsLAHg9ORwf7slFAE+NGR5FFiPZlixZgtLSUq63AmXbdg2OxifvqCr9ZWVlmDt3LkpKSuDm5oYePXo4HLAlhJDO4szJq0AgQHh4OEaMGIGgoCC722ZZFufOncPRo0dbzUyyx93dHQMHDsSAAQNu+x14lmVx8OBBHDt2rNWLZoFAwNUIM61jzt/fH9OmTbM5ZKmzXLp0CZs3b7Z58tS9e3dMnz7doeC3TqfDr7/+ajPYPm7cOAwaNMhiHsuyyM/Px5UrV7i6sY4EVW4VoVCI+Ph4jBkzxu7FWMvhZ7Nnz+YuKkx1PpvQ3AG6AXywRoDHWG7jo48+wpw5czqkW/znn3/OfQYXL15809szZ949+P7778cnn3wCAEhKSgIALmArk8mwe/duAMDIkSOxZcsWq22ZLvjZ/702PBghEzVnVxng/PfZ/Ddg//79GDVqlFPrjxgxAgcPHkRTUxNqa2tx9uxZbni6afsvv/wyPvnkE2RlZeHAgQPccd8qPXv2RGJiIj7//HPU1NRg06ZN2L59O15//fUOuUnl7++PJUuWoLKyEkuXLgXLsjh69CiOHj2K3r17Y9GiRTAYDPjmm29QXl7e5rYqKirw/vvvg2EYzJs3D0FBQVi+fDkKCwthNBrx66+/AmiuI/zQQw/Z/A03DYGvqqqCSqWyWV/VvHHVzQa6TEPsO4J5Z3eGYbgakh2lqamJa0blKKPR2KG/s6Yu9aZasiKRiKsnK5FIuGBkY2MjdDodFwQ31cW9XTfg2ksgEEAkEnH1ck21cr28vODr6wsPDw8YDAZkZmYiLS0NJSUl0Gq1No/TVKrBXtPVjiaVSuHh4YHg4GDExMQgJCTE5nfPYDDg1KlTOH36NA4fPmx3uy4uLhCLxW32KWh5A89k4MCBGDt2LK5fv45vv/3WoeNoNDb/rWDBw+uvv24xUsKk5cgl02/Z8OHDMXr0aJvbDQkJsSrDo9frcezYMZw9e9YiuFlfX48zZ87gzJkzFsubsnLbapJ7q5SUlODkyZPIyclx6rdCIpEgODgYvXv3dqrmr06nw3/+8x+71wy1xhtBQXt/7319fVFaWgqj0ciNZPL398cjjzzSZRvV3ioXL160aggK2L+hu3fvXovvtUQiwYsvvtgp/Tw+/fRTq3mmaw7TKCzTdzUwMJD7nJrODQEgNsgTQC7qjEKMGTMGmzdv5tbZtWsXxo4dy03fjnMz0n53VND2+++/v927QAj5C9NoNDh48CDS0tIcauDl4+ODAQMGoHfv3g6dyBkMBhw9ehR//vlnuy+IPTw8MGjQIPTt2/e2nwQDzce0Y8cOnDt3rtWTU7FYbDH0teWFm3kH8VvF1BH96NGjVo8xDINRo0Zh+PDhDm2rqakJa9assdmRPTg4GDweDyqVCrt27cLOnTtvet87i1AoRFxcHJKTk+Hq6urweuZ39oHmrrrz5s2zWObnn38G0Hxh2YyBHgJIYH0Rv3LlSvTv3x8TJ050/iD+56effuJqzHV02YW1a9dy/3Z1dQWPx+OaWowcOdJi2XvvvZc79l69etkM2pq+F1zQljFCKmw+fTP874LcWUOGDMHRo0dx8OBBp4O2APD3v/+dy6bdvHkzEhMTLYKhCoUCc+fOxc8//4zU1FQEBgYiKiqqXfvaXjweDy+99BLy8vKwfPlyNDY24r333kNSUpLV+9BeHh4eWLx4MWpra/HFF1+gsbERZ8+exdmzZxEbG4tnnnkGgHWNOluMRiNXb86W3Nxcp7pJ3ynMb9DdDlKpFCEhIXBzc4NcLoeLiwsqKipw4cKFNhuceXt7Y8SIEeDz+SgvL4dKpUJNTQ00Gg20Wi3XgAy4EVR3NPv6VjM1JxOLxVyZB1OJB29vb/j4+HBlHmwxGAwoLCzE5cuXkZeXh5qaGi4Lu703mzuLWCyGh4cHgoKCEBMTg9DQUIdv5OTm5uLgwYMO9R4QCASIiIjAwIEDcfr0aaSnN4+IMJXEMNetWzd4enpyN/PMz//MGyCxLIvPPvvMqaBiI/5XPsHYnD0eExODjIwMi2WMRiP4fL7VOdqhQ4dw6NAhjBo1CiNGjLD7XCKRCElJSVaBoMLCQhw4cAC5ubkWz1FSUmJV21sikSAuLg4jR47s8FGxhYWFOHXqFHJzc506xzb9RvTp0wdRUVE3db6g1+vx4Ycftno+bMq4M9EYxdy/DUZeq8sBzedaISEhGDZsGFavXs31JzAF6v9qQ+K1Wi2+//57qxskoaGheOihh9r83h86dAj79u3jpoVCIV566aUOHellLjMz0+r9lEqlqK+vB8Mw3HWR6eaKeaZwk1nQNljZvH9aoxCJiYnYvHkzt86xY8cwduxYPP/88/j888+RmppKQds7yB0VtCWEkFvBNGT/1KlTFhlzrZHJZIiPj8eIESMcHvql0+mwb98+XLx4sd0ZJF5eXhg6dKhD9W5vFa1Wiy1btrTarAZozjQxzx5qmdF0O4K0QNtd1iUSCWbMmOFQhqdWq0VaWhqOHj1qt8ZZWw1zbieBQIDY2FikpKS0+8KJZVksXbrU4oT51VdftfkdMX0HzE8+G4x8SJjmz0jLC8pTp04hOzsbzz//vNP7tWnTJuTnN9f2e/nllzs8A8V0cQ4AzzzzDM6fb+7gKxQKAcCiIZN50ynzOmkM0yLFGDeCtoxZpm1jK5k3er2+zeNKSUmxeUPCUTweD1OnTsXmzZsBAP/+97+t6uOGh4cjOTkZe/bswYoVK/DSSy85VDako4WFhWHJkiX4/vvvueDBgQMH8Prrr0MqlVosy7IsamtroVKpUFlZierqaqjVamg0GtTV1Vk1rmrLlStXHOoA/Vdink1rC8MwiIyMRGxsLORyOdzd3eHq6gqJRAIejwetVouNGzciMzPT5vpisRijR49Gv379bP5N1Gg02Lx5s8X69fX1VkEsR5SXl2P9+vVOr9dRTDV1TfV0TbV0PT094e3tDV9fX+51cwbLsqisrMTVq1dx9epVHDt2DDqdrtMC6wzDcJlfN5MBLhKJoFQqERgYiG7duiEyMrLdWfXO9h7w9fXFwIED0bNnT+j1emzZsgXp6enca9hSTEwMpkyZgqysLGzatMlqGX9/f8ydO9cim+/IkSPYs2cPN+3j42N1fmq6GWfCGhk0/e9vhOn/s2fPtvm7ZPpOhoaGcn8fTfbv34/9+/cjOTnZoWaqLQUFBVmVyTElKZw9e9biPEmn03E3vsz5+flhyJAhiI+Pb/UzzbIsF5jNy8vjbpY6QiaTISQkBH379kVERESHn1PbC9aGh4dDIpFwjUhfffVVfPzxx6hlbwRtm8z+3tfU1ODee++1CnoXFBRg5cqVePzxx+Hn54e1a9dy5+Pbt2/H9u3b4e7ujgULFtyRpSocsX//fhw8eNBiHp/Px9y5c+32hzh58iT++OMPi/VeeOGFTi2rybKsVT388PBwLjDbo0cPnD9/niuJwOPxLK4bTckODIxwkzafZzaCj3/96z3YOJWEUqnkMnf/+OMPqzrWpGuioC0h5C+tqKiIywCwNwSRz+cjLCwMw4YNQ1hYmMPPUVVVhb179yIjI6Pdwxx9fHwwYsSILjGMzFxlZSU2b95sdZJvzs3NDVqtlhvm0zLLxNfXF1OnTkVAQECn7qst5eXlWLVqlc3Ovt7e3njggQegVCoBNF9kmOrGFhYWoqqqqtWu5ncSgUCAmJgYpKSkdFhQ7cSJE9ixYwc33dbF3unTp7l/s8YbZ5g6owBuaA7oNzU1ISIiwiKgXllZiXfeeQeLFy92+Dtx8OBBnDt3DgDwxBNPdPiJ+IEDByymJRIJV1v1oYceAgCLuqWmzx2fz8eJEye4+bZuWBj/F7TlAxblEYxGWJ2YnzlzxqrURmt+/fVXbt+c0bt3b+zduxd1dXUwGo02T/6HDh2Ka9euISMjA59++inefPPNmy5PYDAYoFarUVFRgaqqKi6wat7QyRRYbSvQ9OGHH97UftypGIbhhusLhUKLZlqmuq9yuZz7z83NDW5ubpBIJBbvndFoxMGDB5GamurQ8wYEBOCBBx6wCBQYDAZs376dC9AYjUZkZWUhK6u563VgYCCXZWgq/xAbGwsvLy9UVlaisrISKpWKe58bGhrwxx9/WFx0dyV8Pp97rV1cXKBQKODh4QFPT0/4+PjAy8urw28iabVaZGVl4erVqygqKoJGo+m0cgs8Hg9isRguLi4QiURoaGiAWq1u8++kvWCtUCiEu7s7l60fHR3dYa+RwWDAn3/+iT///NOhjGC5XI6EhAQMHz6cy7jTarXYunUrNm/ezN3EaskUpHVxcUFeXh5WrVqF//znPxbLuLm5Ye7cufDw8LCYr1arufI6QHN2v06nswrYmkrSADfKHZjf1DO/ITpr1iz89ttvNvc1Pz8fTz/9NJYtW2b12J49e7Bnzx6bpZycJRAIMGLECKsM3uLiYqSmplqdk1+/fh2///67zSHujnJxcUFoaCj69euH0NDQW3IubStYa8qaNnnqqaeQlZXFBeVfeOEFruGlxrw8gtFyf7ds2YKHHnqIK6Fj7ttvv4Wfnx+efPJJAM1ZzT/++CMaGxtRXV2Njz/+GADaLIFxJykvL8cPP/xglQTTu3dvTJ482e573bIOPsMweO6556y+j53hX//6l9W80tJSbj9MN/5NN/NHjhxpkQVsOm/mwQiZ2PQ3mkETGAiZ5t9YU8mV3bt3IyUlBS+++CI+/vhjnDx5koK2dwgK2hJC/hK0Wi0OHz6MixcvOnT33cvLC/369UPfvn2dCjIUFRVh7969yM/Pb3dmip+fH0aOHNklmwgUFhZi69at3AmFLd7e3qiuruYu1FoO+fHx8cHUqVMRGBjYqfvamvT0dGzatMnmUFVTZotOp0N5eTnXPOpuwefz0a1bN6SkpHDB6I7UsvOtm5sbXnjhhTZPmLdu3cr92zyTpKHFKUpOTg68vb2taoS+++67ePbZZ+Hl5dXmvl28eJFroDV79uxOyeQ2D2DNnz/f4jfAlOFhumnRo0cP7th79OhhkVk0efJkq21zJ+aMEVKRqSxC84m5AJZBjwsXLti9qDY1QMvOznbs4Gx45ZVXuCH7J0+exNChQ6FQKCzqqwYHByMnJ4crT+Dh4YGGhgZu+HhXbF7V2UyBUx6P5/SNn/j4eMyYMQNAc1mRljfMQkJCMG/evE4PSDAMYzEUuq2630BzMMYUKGAYBhKJBAaDoc0AYlFRkUXAqisQCASIiopCYmIifHx84O7uDoFAgGvXruGPP/7g6nPbIpVKMWLEiHaXLzIYDCgoKEBmZiby8vJQVVUFvV7fKc24GIaBUCiEm5sbQkJCEB0dDaPRiOzsbO6mZctRMizLcrV47REIBHBzc4O/vz+ioqIQExPTKXUiTXJzc3Ho0CEUFBQ43HsgKSnJ6jzFkdFEMTExmDp1KhfYraysxDfffGNV1kAsFmPOnDmtZv/98MMPFqNxnnjiCasGiADw0ksv4aeffgLQHNQ1jW7Rm5XPaQIPNTU1cHNzQ2xsrFXg0Hx62bJlePrpp5GWlmaVsQgAO3fuxM6dOztluH1AQABmz56N3NxcnD59Gvn5+Q6VIzMnFosxYMAAjBgx4rY12rVVs9aUHW/63vj7++OJJ56wCNjOmTMHSqWSew9rzcsjtBhZ09DQADc3N8ybN48rrWNen/j69et45513MG/ePISFheHvf/87AMumWqYSGBKJBAsWLLB7HtWVsCyL9evXW4xuAppvrixYsADu7u52t5Genm5R0gpoDqLfqp4ZO3futPr9nj17NleTeMGCBfjuu+8A3LiWGjp0qEXQtom7oc9CKrzxnTeAD4Gx+e+r6e/N0aNHkZKSArlcDolEAp1Oh/Xr12PmzJmddISko1DQlhByV2FZFhcvXsTx48dx/fp1u8ubutomJSU5lXXHsiyuXr2KgwcPtnmRZk9gYCBGjRp1S7qDt0dGRgZ27NjR6jB/hmEQEBCA8vJyLgjaMqjm7e2NKVOmIDg4uLN314parcalS5dw6tQpu6UKANzyZiedic/nIzo6GsnJyfD09Oz051uxYgWXIQcAjz/+uN3s6ZYBO8vyCNanKP369cPevXu5z5qprtvSpUsxefJk9O3b1+bzFBQUcBk6EydO7JQbIi0vHEJCQrjh035+fgBgcaNgypQpeO+99wAA48ePtwja2goom8oj8BlAJrrx2hjAh6BF7V97ZV1YlrUYLbB//36uWVNtbS3XAMnZoKojAba2GvDcTnw+H0qlEmKxmBty7uLiAhcXF7i6ukKhUEChUMDV1RUCgcCpoBvLsvjhhx+4BoRGoxFSqZTrPs2yLH766SeHyqWkpaUhLS0NMpkMTz75JBQKBTIzM7Fq1SoYjUYUFBRwgXTzZn/OYFkWdXV1uH79OsrKyqBSqVBdXW3x2biZbE2j0ehQYK89TMFGsVgMhmGg0Wha/QxHRERg+vTprQ4TZlkWJ0+exMGDB7n9NRgMuHLlChe0E4vFGDZsGIYMGYInnniCW1ev12P37t04d+4c91ppNBpuiLKJt7c3ZDIZKioqUF9f32k3Mfh8PmQyGfz8/NCtWzdER0dztclNzS4LCwtRWVkJnU4Ho9EIvV6P8vJylJeXW4yIsPc8bm5u8PPz40pddFYdSFvaU9pgwIAB6NWrl83vdHuCtEDzucTXX39tdR7K4/Fwzz33IDExsdXttQwkDRgwAAMGDMCXX35ptexzzz0Hg8HAjdoYP348N9TaVM8WaL7pd/XqVS7IunDhQnzwwQc3HmdZi5uiy5Ytw/3334/FixfjP//5D/damgd3TZ/lKVOmoE+fPq0ejy0syyI7OxunT59GQUGBU78Hrq6uCAsLQ2RkJNLT05GTk2Pxe9TQ0MAFI03EYjFiYmIwatQoh4J57WUrWMvn8zF58mRs2rSJC9jOnz8fISEhqK6uxooVKwAAo0aNQnR0tMV3zbymrflN7QEDBuDkyZNYunQplixZgkcffRQ//PADjEYj3N3dLc53ly9fDk9PTzz33HMAms+BJk6ciJqaGnz33XfQaDTQ6XRYunQpgOabyNOmTetSo/rMmf+9M5eSkoIhQ4Y4tI2srCzudTd57LHHbmkyiV6vx/Hjxy3miUQiLmOfYRjuuzx8+HDu89xyHfMmtXweAz5YNIHXnJn9v1PqlskzQHN2/vvvv49Lly5R0PYOwBg74/ZsF6VWq7kLvM6sTUIIuTVKS0uRmpqK7Oxsu9lKPB6PK9DvbICUZVmcPn0ax48fb3fAgWEYBAcHY8yYMXZrKt0uplq++/fvbzWzQSgUIigoCMXFxa121/by8sKUKVM69Tj1ej0yMjKQmZmJ4uJi1NTU3FQQoWX35PYSCoUwGo0dOvzUdOLc1sU8j8dDVFQUUlJSbnmmRMuT3169emHatGkOrWtq0GR6/bc1xKKMbQ6g9BNcQ6LQOqN7yZIlXE0+sViM7t27cwHPbt264YEHHrBYXqVScRe7gwcPxtixY50/SAeY1wk0NW4xzVu0aBFEIhFWr17N1c80Pw7zf5umW273qsELRxrDECasReq7sxH5ty1oAg/3iS9AzuuaDY4cYco4NQ3XF4lE3BBymUzGBU9dXV254Kl5ndOb1bI7tOliujOwLIsVK1ZYlPmQSCR4/vnnuYDPzp07rS7KTPXnWmPqgG0wGLB8+XIUFhZarS8QCByqxXu7SSQShIaGQqlUwsvLi2uEpVKpsG7dOps33/h8PpKSkjB06NA2612mpqbi6NGjrb4GPXv2xKRJk7j607akpaVh165dbTaDciSL+GYwDAOxWAylUomIiAh069YNAQEBFlmFLMuiqKgIV65cQUFBAVQq1U0Fyvl8PlxdXeHr64uIiAjExsbe1mup9pQ2MPUeaCuI7EiQNjY2FlOmTLHaDsuyWL16tc2ayyNHjrTb9Eev1+Ojjz7iPjdisRivvfYa0tLSLIZum5gyAk1/I0aOHIkDBw5w5zKlTXJs18cCANyZerzRo9Hi7+Mvv/xiVcO/T58+OHPmjNV+Z2dnWwzDj4uL4+qvmkyfPh09evSweD2uXr2KM2fO4Nq1a07dFHd1dUVkZCT69+/vVOksg8GAEydO4MyZMw6dr/v4+GDQoEHo2bPnTf09aS2z9pVXXsHXX3/NNT7z8PDgavEbDAbuxm1MTAxmz54N4MbffKMR+FXXG4b/Bd9l0GOWtLn2vUgk4m4Cz5o1C7GxsSguLsa3334LoLnJra2bgHPmzLHZm+Hw4cPYu3evxTxH68DeCnq9Hj/99JNVkoyfnx/mz5/vcMmUgoICrvSEydy5cy36C9wqtmpLL1q0iGsct3DhQm7kWvfu3ZGeno7w8HCuLBTQ/B6VNoqxpaE7ZNAj/f9NR8zfNqIBQkwXX4I778Z3TqlUoqqqyqIkxieffAK1Wo2IiAg8/PDDnXzExBZH45MUtCWEdHk6nQ5HjhzBhQsXHOqa6+HhgT59+mDgwIFOD41qbGzEoUOHcPbsWaeaGJhjGAZhYWEYM2bMbSsB4AiWZXHgwAEcP3681a7WUqkUYWFhyMnJaTVI6+npiSlTpiA0NLRD9qmgoIC70Kyqqrqrsl/bYsqE0ul0bd6E4PF4iIiIQEpKCnx8fG7hHlpiWRYfffQR9/4IBAIsXLjQqXqDLU9aN+vioDK6AAASBSXoJyyyWsfUTduUTejr64ukpCSuVqxEIsEbb7wBwLJcQ2xsLGbNmuXkUTqmpKTEYtjqkiVLLGoRmoKwpuOVy+V48cUXuQs285Nz8+XN17li8MaxxlBEimux953Z6P63DdBChHGiDATwHe+E3RpTQyBT8FQqlXJBU1uBU4VCAZlMxl3omr+XrQU+dTodl901cOBAjB8//qb3uyMYDAZ88MEHXLBEqVTiueee69RMo3Xr1iEtLY2b5vP5SElJgUajQWVlJUpKSmzW2u4qBAIBF1yXy+VQKBRcoNXX1xeenp5Wf38NBgPWrVvncOOvlnXFTViWxc6dO3Hy5Emb6/n6+uL+++9vsx6hXq/Htm3bLBoAmuPxePD39wfLslwpgNtxySQQCNCnTx+MGTOGy8ouLS3F5cuXkZ+fj4qKCqeHj5vj8XiQy+Xw8fFBREQE4uLiOjUTsT3aU9pgxIgRCAoKsrvtmwnSAm1/Fnv27ImpU6c69DuyadMmrt46cCO4tnHjRq6mpbkFCxYgKCjIItjW8uZfYZMCu/XdAACujA6PeOXh1VdftdiOrcCReZNJoDlAe//99wOwDvROnz4dGzZssHt8tri5uSEiIgL9+/fv9MazpaWl2L9/P7Kzs+3eTBGLxejWrRtGjRplt4yUTqfDxx9/bLFNhmHw6quvoqSkxOKGdsuRD6bXXqlU4oUXXgDQ/LtkCtrVGwVYrevFLS+CAQ9Kz3HTDz74ILd90zlDaWkp/vvf/wJobsJZVFRkdT6pUCjw4osv2vxc6nQ6fP/996ioqLCYHx4ejoceeuiWZ98eP34cO3futJjHMAxmzZrl1CiSludoQPtHonSEZcuWWY2I6t+/P9LS0qDVasEwDEaOHIn9+/dDKpVyN9zeeOMNiwx5X19fXCzRYFtDHORMAy69PwPxi35HnVGMyeJ0ePNu/G3w9PTkbnCZPi/mNw6c6Q9BOo6j8Ukqj0AI6TJYlkV6ejqOHTuGkpISuxdIEokEMTExSEpKald9To1Gg/379yMtLa3VgKQ9pgBacnLyLauB1F56vR47d+7EuXPnWs3adHNzQ3h4OK5cuQKdTof6+nqrbApPT09MnjzZqWZsQHPGY1paGvLy8lBeXs41MGoPgUAAV1dXGI1Gh8oeOEqhUMDX1xfFxcVWDdPscTRbl8fjwc/PD1KpFIWFhdxnr6mpicvGMF82PDwcKSkpXerztWvXLhw7doybvvfeexEfH+/UNmwFGuyVRwCaS3awLMudvJaWliItLY3rtqzT6fDOO+/gtdde45q9+Pn5dVrAFgCX3QKAu3lhyuYYPHiw1fIzZ87k6usGBARYNTAzMf+e3iiP0Pz/KLkeFzQiFDS5d0jQ1tQQSK/XQ6/XczcP5HI5/Pz8EBUVBTc3t1ZP6s3rLf744482LwAkEgkef/xxfPvttzhx4gSCgoKQkJBw0/t+swQCAd58802cPn0aW7duRVVVFd59913MnDmzzf0zDR+/fv061xitpqaGG27qTKZlU1OTRfO+ziYWixEXFwdPT08u0NrW+9sRBAIBl03Gsiz27Nlj8TvSknldcbFYjOnTpyMmJgY8Hg8TJkzgGqiUlJRg3bp1XGZdaWkpvvjiCwDNv8u9evWCUqlEQUEBSktLodVq7Qb/TJmqzjLd/GhrZERERASmTp1q0fiRZVmUl5djz549yM3N5fbPYDDg5MmTrQao29oPuVwOb29vhIWFIS4uDh4eHl36oryjSxvYotVqsXnz5jZvHLQVpDVp2WXeJDQ0FHPmzHH45qV5diQAREVF4cEHHwQAfPbZZzbPb+bOnYugoCCwLMsFbJ955hmrwLN5eYQmI8/m39wZM2ZYNffavHmzRZ3Uy5cv4+OPP4aPj4/Vd8JewNbNzQ1RUVEYMGDAbb3J7Ovry/32mJiytU+dOmWRldvQ0ICLFy/i4sWLFst7e3tj4MCB6N27N/R6vVVmLcMweOmll6BQKLB06VIu8Oni4oJXXnnF4jNqaj7F4/G4gC1geS5hqmfLgIURPIvyCEDz74jJ/v37MWrUKPj6+uKZZ57BV199hby8PISEhMDLy8sie1qtVuPdd9+1ed4mkUjw7LPPAmiujW96f3Nzc7kb5ffddx+6d+9u41XuGOZlG8zFxsbivvvuc+o3rKKigiv7YDJjxow2y5N0tmvXrtksYTV+/Hiu1vBrr73G3ch/7LHHuL9nLet+e3t7gy1uvlbho/lvjuB//zeY1bQGYHNEgkAg4MqifPfddxYlfkjXQkFbQshtUV5ejgMHDiAzM7PVLE8THo+HwMBADB06FNHR0e266KioqMCePXuQlZXV7uGhfD4fUVFRSE5OviOK9TuSQeLt7Y2oqCicPXsWOp0ONTU1FtkeQHPm8pQpU1oN0mq1Wly5cgVZWVm4fv061Gp1u19j86wfb29v6HQ6FBcXQ6VSWQRAzGu4OcPV1RXBwcGIj4+HRCLBn3/+iby8PO4C0VTXs639Mw0zbhmgbTnNMAx8fHzQq1cvVFVV4cKFC9DpdGBZFsXFxVbbNmVop6SkdHrWSXu1PAEOCgrCggUL2rUtU+OUhIQEXLp0CQDAml2U6GwEbU2B8U8++QQLFy7Ec889hy+//BJpaWnw8fHB4sWL8d5774FlWS5g6+LiwnVQ7gxardbivZ87dy4AcBfbpnIM5jVrw8LCsGrVKgDNTcfMs3FMdSYBy5NsUyMy/v9eomemDsVTK88jv0mJgcZrYG7EuwE01ytTKBSorq7GuXPncOnSJVRVVTlcM7OpqQk1NTWoqamxqtdri1gsthiy+fHHH2PhwoVWywUEBGDy5MnYunUr1q9fD19fX3h7ezu0Tx3BVE+1rKwMpaWlXLC1qqoKdXV1FjUb169fz9Ulvl2EQiFXKqLl7yCPx+OC7a0x7/SenZ2NlStXgmVZNDQ0cL/19913X6c0JmwLj8fD2LFjue/HmTNnsH379lb/djQ0NHDNWYD/XayyLNRqdZsjE4xGo8V3r6MolUpMnTrV7s1LtVqN33//3aJhXE5ODj799NMO2xeJRIKhQ4diyJAhXTooa9JZpQ1scSRIGxcXh8mTJ9vddkZGBtauXWv1GfX09MTcuXOd7ovw2WefWZxvLFy4EDKZDCzLcgGylmbPns0N5TZlVLq5ucHb2xvLli2zWLbRohGZ7RsJiYmJ2LBhA6qbRGhi+PBgmgO7poCtiUajsTv6LDk5GYGBgRbr1tTUICYm5rYGbFsjEAgwaNAgq6adpaWlOHDgALKysix+W8rLy7F161aL5qkmjzzyCEJDQ1FYWGhR2/2ee+5Bz549LZb98ssvuc/Qm2++afGYeYarhm0O2iqYBtQYpWgCD0YjwOfzuFI7L774Ij777DMcPHgQo0aNAtD82/j888/jiy++QEFBAQwGg80mduvWrcO2bdvw2muv2fzd6NGjB3r06AGDwYBffvkFBQUFAMDVW/bx8cGCBQucGl3Vlq1bt1rVzhaLxZg/f77TSQvV1dX44osvLD7zbfU9uJV++OEHq3lPP/00d85qalRqYvrbYev3Sa1Wc8F83v8a0gpNQVu0/rfAFOQHmsusvPvuuygpKQHLsnfE35C/IgraEkI6lV6vx9GjR3Hu3DmbhdBbcnd3R+/evTFo0KB2nwgUFBRg7969uHbt2k1lcnbr1g3Jycm3/GK2vVQqFTZv3sydWNkSEhKC8PBwnDx5EvX19VyTEXMeHh6YNGkSQkJCkJOTwzUjM3Wqbi+pVAovLy+EhoYiJiYGdXV1SEtLw7Vr11BTUwOj0chdhKvVaoumVo6Sy+UICgpCYmIiunXrBo1Gg2PHjuHq1atcI5309HS7QSiBQAC5XA6NRmMRJGFZ1uZr4OHhgd69e6NXr17c572+vh6lpaVWQ7uA5pOy0NBQ7iLnTvDVV19ZfFZeeukli0wxZ5m2xZhFGy0ybW2copi+z1qtFhUVFfDy8uKGCO7fvx9eXl5YvHixxZBPZxukOMu8OYypzqopO53Pv3HRbN58CLjRlMzf398iq3vEiBHcv82/y6ZMWwGv+f8j4/whxBloIUKF0QXejGVm+GeffYaFCxfC3d0dI0eOxMiRI23uv/nwuH79+nFd6Z298dJytIJWq7U59Ba4cfPDYDDgq6++wr333ovo6Og2f/NZloVGo0FpaSlKS0tRXl6OiooKqNVq6HQ6NDU13Zbh6y2ZGmFJpVKulIS7uzuXzerl5dXmcR49ehS7d+/mphsbm+tQmgI15nUzzS9ITcPrWjJ1eg8KCsL8+fOxePFisCyLlStXIjs7G8CNi/CAgADMnz//lnVc1+l0yM3NRX5+PoqKiiASif4/e98dFsXVf392trD0KiAgoqCiaKzYK/bey2ssMVETWzQxxmhi+BFijPE1tphEjZooMRo1sfcGdhSxoigKCoggvSzLsjv7+2O5l5nZ2WVRNOb7cp4nT1xYdmdnZ+793HPP5xwaglURhPPWi6JDhw4ICQmpcKEaHx+PgwcP0m6InJwcHjkllUrpHPayUCqV6NatG1q1amV0XFqtFmfOnMHVq1fpPadWq3Hy5EmeJ2VAQAD69+//j1sdvEprAzFUJUkLGFTcERERRipVGxsbjBs37oU2WM+ePctLf+/bty9at24NADxbHSFGjBhB27nz8vLoPUCUmsL7ppRD2rBmCJxPPvkELb86Cg1k+I/yOuSSF7uGT5w4AcBQxzMMQ9WrJEypW7duaNiwIRwdHauM6HsVIPYqXBQWFuL77783OTaRTWgu+vbta6To3LlzJ92oWLBgAe/+5qphPT09caPMkraGvBR5GmsABiJuYL9+OHDgAB49egQnJyfaPv/7779TlbaLiwsldJ8+fYq9e/di0aJF+Pbbb3lEdHFxMcLDw82GyclkMkyaNAmA4X6OiIgAy7LIyMigVg7czcHKIDk5GVu2bDHqSunYsSO6d+9e6dcrLCzEqlWreK9XmYCyVw2isObCxcUFbm5uVDzyySef4JdffgEANG/enCr6hw8fbjSu5efnc7qwDNemTMICeqBUb/qe55L8DMNQD+S1a9dSz+VqvFmoJm2rUY1qVAlI4MD58+eRmppa4aLLysoK9erVQ5cuXV5YtUrsFM6ePVthWro5yOVyBAYGokePHv8qv+uUlBQcOHAA6enGYU0EgYGB8PX1xdmzZ1FcXIwnT54YkbrCtv7s7Gxs3brV4uOQy+VwdnaGt7c3GjRoAH9/f2i1Wty+fRv37t1DWloaVCoViouLkZycjOTkZF7wT2Uhl8vRtWtXtG7dGjKZDBqNBjExMbh58yYyMjJ4yd4vCq1WK9qW6ODggMaNG6NDhw6QyWSIiopCbGwssrOzjRbNBBKJBL6+vujevTtq1ar1Usf1T+DatWvYv38/fWxJoEpF4AZkcL8rllNkmrJHcHFxQXZ2Nk1NDggIQO/evXH06FHs3LnTKETo7NmzePDgwStR27Isy2vjnTZtGoByEowb+kIWEc2aNTP7mtyFE1eRrReQtkq5FAE2atxV2SJJ54QaDJ+0ZVkWS5cuhYuLC2bMmGGSlOISdHXq1EH//v1NHlt+fj7u3r2Lhw8f4tmzZ0Z2HpaCZVkeubVr164Xep2qAiGRra2t4eDgABcXF+rPeubMGap+kkgk+PTTT41aFKsS7du3R/v27Xn33ZYtWwAAo0aNQsOGDTF27FgAhoUXsdkghK23t7doW39KSgrCw8MhlUrx3nvvYdy4cQD4i/CnT59SAr8iawghtFotnj59iqSkJKSkpCA9PR1FRUWvPfjMyckJY8aMEVVmsSyL06dP4/z583TOO3/+PM6fPw/AoJgcOXIkbG1tcffuXTx69Ajp6ekWdY+Y+721tTVcXFzg6+uL+vXrw9fXl96PWq0Wp0+fRnR0NB0j1Go1Dh8+TBfr9vb26NmzJ5o0aQKZTIYePXqgR48e9PUfPXqEo0eP8uqghIQErFq1ij52dHREt27d0KRJk1eipHod1gZiqGqSFjAQP7/++quRClgqlWLkyJEv7IMpJGRdXV0xffp0+vnj4+N5anIuBg0axGtlJ0ptEr5HulW4ECptTUFupUQxDCSqWi+DXPJywZamLKtOnz5Nx6sXhVQqpb7rVlZWtAvBzs4O9vb2cHR0hLOzM1xcXGBra/vSG1AqlQrff/+90f09ffp02lZ+5MgRo0A3ALx7GACvi2PWrFlGxDW3zkpPT0eB3uALH+jlhIQkw9/pwBjdXx9//DEWL16MhIQEnlLSyckJH330EVasWIH09HT89NNPWLhwIfbv308JYlL/79+/H0ePHsX8+fPN3o916tShG39//fUX9WUnm4P29vaYPHmy2bUUy7KIiIhAYmIi7+fOzs6YPHlypdX0gGHMXLlyJW/zuHPnzpSYfBMQFRUlOk/MmDGDp7IlXTWA4b4nnSJ169bl2WcAhutTB8P5IkpbGcqsdcxs1AjxzjvvIDw8HNnZ2dBqta9t47YalqM6iKwa1ahGpZGTk4PTp0/j/v37FXrBSiQSeHl5oX379ggMDHzh4pxlWVy+fBnR0dEv5WGqUCgQFBSEkJAQ2NnZvfDr/BO4d+8ejh49avLzS6VSBAUFQaPR4P79+y+t+CFp0cTPMjAwELa2hpConJwcXL9+HQkJCXj+/LnZ9tSqQN26ddG0aVPcuHEDKSkpFit+FQoFatWqBRsbGyN/MnOwtbVFYGAgOnXqBEdHR2i1WkRFRSEmJqbC0JdatWqhR48eb0TiriXQarV4/Pgxbty4gcePH1OiRaOX4qzGD/6ybPhJc2BnZ4ePPvqoShb8S5YsgUajMQo8+b24GTRl+8nW0GCMtXhIEAG39VAY5LJo0SI8ffoUGzduBGAYi7744osqJSx+/vln3qZJaGgo9Ho9vvrqK/oYMBBqZJG9aNEiPHjwANu3b4ednR3mzp3LU6RyQ8g2b95MN1liS71wXeuF1s5q/Dl/OABg1+WH+OTve7CXqDHc6raRRQIX3DAZIbjhMtyAiufPnyMxMRHJycnIyspCUVERSkpKXjsRV1nI5XLY29vD3d0dPj4+CAgIQI0aNV74u+eGuwBAy5YtMWDAgKo6XLOIi4ujmwAEgwYNQvPmzeljYbI7YFBqPXv2zOxrcxe1XAUvF1ZWVrC3t0d+fv5LdVpUBNLd4OXlhVq1aqFOnTpG35larcaff/5ptNg395oDBgygY0RxcTHu3buHhw8fIi0tDXl5eS91LVtZWcHFxQU+Pj4oKChAfHy86Ia1RCJBq1at0KtXrwoXw6TWiYqKMhnCqVQq0bFjR7Rr185kmNCRI0dw+/Ztk59PKpWicePG6NOnT6U2IV6ntYEYioqKsG/fPty/f9/kcypL0gKGzxUREcGzsSDo06cP2rRp80LHS7Bp0ybeZiUh/QiOHDmCy5cvi/6t8P254UzCkMuAgADapXSl1Ae3tZ70795RXsX/+3/l8wtBgboUTf7fMQAwSpwneOutt4xC+6ZOncpTGms0Gvz+++88YUD9+vXBsiyysrLe6GBFLkh7uti9ExQUBE9PT0oOnz59ms6dDMNQ9WxMTAyio6ONAr3E4OrqiubNm1OlMrEZOlJSH2msA74eWB+h++9BBwYjrW4i0NcdKSkpAMr9ZTdu3IiUlBQ4ODjgo48+4r1+YWEhli9fDqA89EwsmIugsqrZ9PR0bN682Wg92K5dO2p/A/A9crkYPHhwhZvZpqDRaLBq1SpeXd62bVv07t37hV7vVYEbMMdF37590apVK2qHMm/ePDx48AB79uyBTCbD9OnTqa+7MGiQ4JHWGZGl/vCSFuDC4jHo+vlWJOlc0Eb+BI1kfEGTj48PvXaE4bzbt29HfHw8bG1t8cknn1TZZ6+GeVjKT1aTttWoRjVMQqvV4tKlS7h27ZpFxZaDgwOaNm2K9u3bv5QSSaPRIDIyEtevX3+pVGSlUokmTZqga9euVbJYeJ1gWRYxMTE4c+bMS50DMZCdXBJQ0qhRI7i6utLFH8uySElJoSReZXwwK4KNjQ28vb0RFBSERo0a4dKlSzh9+vRLtTUzDAMPDw80adIEDRs2RHR0NO7cuWPWm5ZAqVQiICAAnTp1op5rWq0W586dQ0xMTIUebj4+PggJCaGty/8U1Go10tLSaKtxVlYWiouLX+p7S9I547TGHzWYQvw2rkmVBk+QwlNYhG4pbg5dWXgKAxYTlNdEicjOnTsjKiqKvgZg8OBLSkqizyFBWMJi+WVtHcQ+B1CeRExULK6urpg5cyYAYP369UhLS6PHu2bNGmRnZ6Nfv35wd3fntVZySduVK1dSBWVMqTduamuivZsG2z4ZCgAoKtHirdDD0IHBYKs7cGEqVrj9k2AYBlKpFEqlEnZ2dpDL5VCr1S/VKfGykEgksLKygqOjI9zd3eHr6wt/f3/RUK4dO3bwlOFVeS1VhEePHhl1QPTq1YsXdJeXl4cff/yRR67a2tpCr9dX+TxiDgzDQKlUws3NDT4+PvD19UXt2rWrVKHMsiwOHjzIayl+lXBxccGIESMsaodXq9XYu3evyY4PhUKBLl26oG3bthZtJNy6dQsnTpwwOafJZDIEBwcjJCRElBRmWRa3bt3C6dOnzdpUubu7o0+fPnQ+e93WBmIoLCzE/v37zZK0jRo1wsCBAyt9fbEsi7179xqRkQDQunVr9O7d+6U3+e7cucPrJGjTpg369OnDe45w84+LkJAQdOrUifczMu9wSVPys/bt2+PChQsAgAsaX8Tryr1kxytjEP7/vjR6j4x8NVp/Y+gSGmR1B66VmEfEQp24JCHAVxQLzwcATJkyBV5eXha9H/Hjzs3Npf/l5+ejsLAQRUVFUKlUUKvV0Gg0KC0tfWNsc14EO9VNUKi3wp/vt8P4dWdRAhmGWt1GDSsdvL29kZSUBIZhsGjRIgDl18DcuXONRCkqlYoGWxFil2VZnl2Cra0ttWqSSqX47LPPKq24FIbUmkLt2rUxbty4F1Z0arVarFmzhjcmNm/eHIMGDXqh13vVMGUVFRoaimXLlkGlUkEikeDLL7+kz3333Xdx4MABZGRkUAKc+zpWVlYoKSlBgtYVZ0vroJasAGe/HoNeX2zBfa0rWspS0FSRbnT99+vXj9p1zZ8/nzduktcX/rwarw6W8pPV2udqVKMaAAytdOfOnUNycnKFRI9cLoe/vz+6du360on2+fn5OHnyJO7du/fSfqnNmjVD165d32ivLCFYlkVycjL1Wa2IJLQEDMPA398f7dq1Q+3atUU98e7evYs7d+5QYriqYGNjg5o1ayIoKAhBQUFG34VWq8XOnTuxZ88e7Nmzp1Kv7eTkhPr166Nt27awtbXFpUuXcOPGDWRnZyMtLQ1paWk4duyYyb/38fFBr169eBYFWq0WFy5cwNatWys8915eXggJCYG/v3+ljtsSEL/OlJQUPHv2DE+fPsXz58+hUqkqlUD/suBaZWjKWitL9Qx27txJSdCXxaVLlwAY7lmhapwVePCVgoECxuNRVFQU9UTdvXs35HI5JWyVSiXUajXCw8MRGhoKhULBK4xXrlxZ6dZvMQjVj6RllpBI7777Lv0dIWxJyBjx+mvZsiUvhEwILtFGfMsUsvJzZGslgzeThyesM57onF4ZaSuVSiGXy2lIYK1atWgqtanxVq1WY+nSpfSxOYKTS6y/9dZbGDrUQEqzLItnz54hLi4Ojx8/RmZmpkn14YtCr9dDrVZDrVYjPT29QkU+9x5ZuXIl3N3dMXHixFe+MVi3bl2Ehobi8ePHlOQ/duwYjh07ZmRxwwXXL7mq4Obmhvfee++VL+pKS0vx4MEDPHjwAE+fPkVubm6VqX1dXFwwfvx4k56v2dnZ2LlzJ1UrZ2dn85Rp5kg9pVLJUzBlZ2fj77//pgonjUaD48ePU+9iOzs79O3b1+TGWJMmTXjEWGJiIg4dOkRVfFqtFhcvXqRkiUQiQePGjdGvXz/qs920aVNeIFJubi4OHjzI847PyMigVhzmUFXWBmIoLCzEvn37jBTfXLwoSUsQGRkpWvfUr18fo0ePrpLPpNFo8N1331Gy28rKCp988gmPpGJZlgZniqFjx45GhC25Bu3s7Chhyw3aI+nzAFAKfnq8zkS7dHxCeWu/zowPphj++usvpKen8+w67OzsEBoaivPnz+PEiRPIysri+aYGBQXhxo0btAYkLd8ffPBBhWsKhmFgbW0Na2vrKg1sLSwsxMqVK402J/r27QulUom8vDxKDicnJ/PGVUsCISsLvR4o0husnnycrSHlhEuVlqoxfvx4hIeH866d1q1bIzo6GitWrKBELoGNjQ3mz5+PpUuXIj8/H8uXL8fcuXN5dglFRUXUH1en02Hx4sWVtsMi4ZKHDx9GdHS00e/9/Pwwfvz4l+q6XLt2La2hAMN4MHLkyBd6vdcBMb9jwKCqZVmW1nmffPIJr96vVasW3dDm3l8EjRs3RkxMTLmnbdkptZJKAK3hWqlVq5aRJV5wcDAlbZcuXcoTCjRv3hyxsbFYsWIFFixY8GIfuBqvBNWkbTWq8T+GvLw8REZG4t69exX6jkkkEnh6eqJNmzZV4oOWnp6OEydO4NGjRy+lALS1tUWLFi3QsWPHN5qgzcrKor54z58/R1FR0SvZ8XdwcECfPn3QsGFDAIbi88aNGzhz5gwyMjKqlOQghXKjRo3QpEkTk+dfq9Xi5s2buH79OlJTUy3+vq2treHn54fWrVtTe4GYmBhcvXoVGRkZiI6OFi0ExSCVSjFs2DC6EGZZFhcvXsTOnTsr9OKsWbMmunXrhnr16ln0XuT1MzMzqZ9jRkYGcnNzjcLMXhekUins7Ozg7e2NOnXqoF69enBwcOAFf3Hx9OlTnl8WWfBpy/6/ePFio4XAi4C0dU6cOJEXuMTqy31bCUr0MihM+OtNnToVP/74I8/LjyiPiFrg66+/xhdffAHAUCDv3LkTcXFx2L17N+7fv49hw4a98OfghtmRVkIuyUpIPO61P2LECN5rMAzDa8cV+vFybUdYveHcyGX8hXj3oJrYfEuNZ6w9gLQX+SgVQqfTQafTQa1WIzMzs8IgPzEQewgC0oIqk8kgk8lgb2+PgoIC3Lx5E2lpafDy8oKNjQ1sbW1Ro0YN1K1bF/b29rC3t4dCoTBqm3/w4AHu37+Pp0+fvnTbuzkIx/CMjAyqYBKDVCqFjY0NXFxc4OXlhdq1a6NOnTpQKBRgWZZaUKSmpiIjIwM5OTmVtpup7LxCNjzMITg4GP369aOPnzx5gi1btkCn0yEzM5MS8mLp6BVBq9UiMTER8fHxSE1NRU5OToVWS+Ygk8ng6OgILy8v1KtXDxKJBAcOHDD7mtnZ2dTz1c7ODiNHjuRZ2ri4uFAfbJZlcf78eURGRtLrijsXOTk5YcSIESZDJV1cXPDee+/Rx0+ePMHevXsp8VBYWMjbBHJzc8OQIUNMvl6dOnUwY8YM+jg9PR379++nXsZ6vR63bt3ibUD4+/ujf//+iI+Pt9jaQAy+vr7o378/7Ux5WbwOkhYwqJX//vtvo3vF09MTEydOrNINiD179uDGjRv08dtvv42AgADec7jKRzG0bt3aKIgpPz+fbgByW+CJxVDDhg1pCCbA97QFDBt/arXa6LNGx8QCcAJgIHZnzZqFNWvWVPApy3H+/HkkJCTggw8+4P28Q4cOaNeuHVasWEEV0wcPHsT8+fPpJgLXu5tY0EybNq3Krq+KUFhYiBUrVhjVqBMmTDDqoBJ+Z8IxUgykFnFycsLs2bONfn/79m3s3r3b6Oc6SKAvI9kdrOU0XIqQ6tz5T6PRQKFQoG/fvoiOjqZiEGGGglKpxIIFC7BkyRIUFhbiu+++w6effoqBAweiVatWWL9+PV0Xenl54enTpzhz5gwiIyPx2WefVbjeysjIwObNm43WHNyW/KSkJISHh4NhGIwbN87iLjWWZbFhwwae5U9AQAANXntTkZ6eLmq54u/vDxsbG3o9kQ7ITZs2ATBs0nKvSYZhjMI3e/TogZiYGOpXLSsrn5VyBigBtHpGtEs2Pz8fDg4OVKW8bt06OtcRD12NRkOfV403A9X2CNWoxv9RVNZ3zN7eHk2aNEGHDh2qRDH08OFDnDlzhk7ULwo7OzsEBwejffv2b4wxOvHFS0hIQFpamkUhJZbA3t4e/fr1g1arxdGjR00qP21tbeHl5YW8vDxqGl9VsLa2hqenJxo2bIgmTZqYXciwLIukpCRcuXIFjx8/tih8BDAUJ97e3mjZsiUaN24MmUxGQ+UuXbqEtLQ0i0heuVwuSm706dMHwcHBuHTpEi5fvlyhTYKnpye6du2KBg0aQKPRUKVreno6srKykJeX99oVr0JIJBIaZuPh4UGJn6ryZd6yZYuRT+T10pqI1XpDiVL8x9qwAK1VqxZPQVpZsCxLvbtCQ0Px9ddf03unVM8gQm0I4VJACw1kGGgVBzdGvK1bqVRCqVRStS6xJxC+D/Fwo5/r+nXs3bsXAKinbGUhVGoRpcLatWuRmZmJFi1aYODAgQAMidok6Cg0NJT625K2Rm67W9OmTTFkyBD6mPu7ixpf3NO5o78fg7Uf9KU/j39WgN4royCDDm8rr4ORlJd1dnZ2mD17NuLj43ktqSNGjOA9VigUGDx4MCWOgoODUVxcjOLiYpSUlKCkpIS2m2q1Wuh0OrAs+69tO31V0OsNxIhU8vrOC/E/5EJMeXT16lUcPHiQ97PGjRvjwYMHZslNJycnvP/++3QuYFkWO3fuNGr99/DwwDvvvIOnT58iPj4eycnJyMnJealNQ6lUCkdHR3h6esLf3x+BgYGVrk/S09Pxxx9/mLUF4IJhGPTs2dOsp2Nubi7+/PNPSqAJ0bJlS/Tr18/ije5bt27hyJEjJi0sateujaFDh1psxZGfn48dO3bwggzNwZS1QWpqKg4dOmT2dWxtbdG5c2e0atXKos9rCUkbFBSEAQMGvDSR+uTJE/z+++9G94eDgwMmTpwIFxeXl3p9IVJTU2nqO2CaVEpKSsJvv/1m8nWaNWuGwYMHG/2czAdCiwVTdkOHSxqUbeYZMNLqJiaMGGBkZ/DJ4lXYVWAglXsq7mPtFzNw9+5d0W4o0pJtCqZU+E+ePMHmzZvpY25HBWBQCBP1H2CoeWbMmAFXV1eT7/UyyM/Px6pVq4xqzbFjx4pu1h89epR2CQHiFgRCkPqGtL0DBoL1l19+MSLghFDrpfhDbfAtf/hNPwR/vgvZehv0UtyHtzQfoaGhNBvAxcUFs2bNAgCegpmroOSC29liZWWFzz77DIBhbF+yZAmtdVu1aoWrV6/SvxN61JK/2b17t9FGrp2dHd577z1eJ4NGo8GmTZuMrEB8fX0xfvx4k9Yuv/76K88P2tfXFxMnTnwlgYpVDXO2CNw6dd68ebCxsaHPX7RoEQ4fPoyrV6+iZs2amDp1KvWc5b5GWFgY7mg9EF1aCw1tCnH4y9F4579/4kymLepLn6ODwpgwrlOnDvr27Ysff/yR/oyo4AHg+PHjuHDhAqRSKRU9VOPVodoeoRrV+B9CUlISzp49i8ePH1vkO1a3bl107tzZpIqjMmBZFjdv3sT58+ctMtw3BwcHB7Rp08Zin7eqBlH/3L9/ny44X6YV01zLKmBoExo4cCDS0tJw5MgRFBQUYMeOHRW+blFRkdkFjzkolUpKyr711lsWLYqys7Nx6dIl3L9/3+KFrxBt2rShxV5iYiLOnz+PAwcOUPLMHGrUqIGWLVuiadOm+Ouvv+hn5xK2fn5+yMnJQV5eHo4cOYIjR45YfGzPnj0zmdj8qiCVSmFrawtnZ2d4enpSEvZ1e0gVFxfju+++E/1dudK2/F5MTk7GpUuXKhVSwQVRlBD/Ou54xXJUtjYSDTR6GUr0pssU0tJO4OlZHrjCMAw+//xzLF68GDk5Ofj999/p4rlZs2aoXbs2Vq9ejcLCQoSFheHzzz+v1KYQl7Dlvi8ZA/v3709/RghbggMHDgCAqD2DOdVOuT0C/zjrudtRkjtbbw03STnxU1hYiMWLF4NhGEyaNIkumnft2oXhw4cjOzsbp0+fhkaj4Sn90tPTMWnSJJPHUhlotVosXryYPp44cSL8/PwMn4llodFoUFhYiPz8fBQUFODatWu0na9u3booLS2lpLFGo3mjSePjmnrI1SsxyOoulJLXt8nj5uYGZ2dnPHr0CDqdDnFxcQgLC4O/vz/Gjh0LhmHQqlUrtGrVCqmpqdi4cSP0ej1VqXt6ekKhUBi1UQIGgpKoahs0aICioiLRjeD09HSeHYY5kJBLDw8P+Pv7o0GDBq9MTOHh4YE5c+YAMCjltm3bRhWpYmBZliahAwYCcciQIbzxwcnJCVOnTgVgULVevHgRp06douNZTEwMYmJiAACOjo4YNmyY2WBKrv0By7I4e/Yszp07R8mTx48f85TqjRs3xsCBA6FQKJCfn4+oqCjcvXv3hX2LtVotcnJyjDYmvb29MWXKFPpYo9Hg5MmTuHbtGn1uUVERDh8+jMOHDwMw1D0NGjRA//79YWdn91pJWsAQkvrrr78abdYqFAr85z//oWNPVYJlWaxcuZJ28EgkEnzyySeiGwzcDT+GYYxIw0aNGokStuR6AsAjbLl2CMINEo3A6kAHCRITE41I26ISLec5DE6fPo3evXvj4cOHRnYxJSUl8Pb2RnFxMa9FnYCrwuf68fr6+iI0NJQSTzdv3sTNmzdpd0xwcDDdbD969Cj0ej1++OEHMAyDmTNnwtnZ2ei9XgSmyNrRo0cjMDDQ6PlCT/ygoCCjjhkxrF27lo4HISEh+Oqrryo1X2nLVNJSsJAyEqq05dZj77zzDtavX8/7Hpo2bUpJ26tXr6JVq1ZGr61QKGh9VFJSgm+++QYLFy6kddO+ffsQGxuLq1ev0nE6ISGBWrDMmzcPqamp+OOPP4w+k9BnXfi+RI3NDdh88uQJrRG4nRsRERF4+PAh/XtPT09MmTLlX0HWAjA5H44dOxYA8N///hdAucqWBNoBhrGBEOZjxowBAJ6VDRc60oXFGP7vZGcNZJZfK66ursjKyoKLiwuys7ORmJjIC0EEgP3799NN0Z49e+LChQu0q8bNze2FPn81qhbVpG01qvEvQmFhISIjIxEXF2dRcV7VvmPEN+3q1asWhTyZg5OTE9q1a2exOuNlwLIsMjIyeL6ILxPKIpfL4eTkBB8fH9SvXx8BAQFIS0ujhvEE3GJGIpGgYcOG6N69O86fP48bN24gKSmpUi1olsDKygqenp4IDAzEW2+9ZbEqSaPR4MqVK7h9+zYyMjIstjMw1WYrl8vRoUMHGo51+fJlk8nIBM7OznjrrbfQunVrqNVqJCcnIy0tDXFxcRUSsdwAqn8CJPncxcUFNWvWhJ+fH3x9fd9o+46zZ8/i1KlTJn9PPG21kEKvB2rWNKTRHz16FAEBAS9UyBE1xsSJE41+R/z2JNDDhtEhVweozZC2BKSNb+XKlTxliUwmw5w5c7By5UokJCTg+PHj6NmzJwDDtbZo0SKqcli8eLFREnZFn4GAkBpkcUHa/oUgKgZSePft29fo3jF3vRDrCCsF/5wwjAQ15Wo8LrVDOmsnqkxmWZYStk5OTsjNzcXu3bvh4+PDW0gTiJF3LwqZTIa+fftSUue3336j/sgksIqEVgGGRSdJWn/06FGVeCkTb9zExESkpKQgLS0NRUVFVa6ef8baQwcGD7SuaCIXDxaqamg0GmRmZopumj58+JBe44Dh2lQqlfDw8ICLiwsePHiA0tJSXsupOXCvEUtALAbelHHQxsYGkydPBmCoZ/bs2YM7d+6Y/Zs7d+7Q57i7u2Ps2LE8xatEIkH79u3Rvn17AAYLqp07d1JiOC8vj6cwbNasGfr3729yk4hhGHTp0oX6SGq1Whw6dIjnW3r79m2eLYwYbG1tERQUhE6dOhkpArVaLU6dOoUrV67QeyAzM5On/rS3t0evXr14m0ukBbtvX47SPz4ex48fp0S+Xq/HvXv3TIawAVVL0gIGsnLLli1GymeJRILBgwdX2r6jMoiKisLp06fp4379+iE4OFj0uZs3b6Zjq0QiMaqz/P39TXpzks0+cv0SEHVqkyZNeHZDgLinrdi9zvW61ekZXL9+Hb1798awYcOQmJho1PWVmpoKiUSCBQsWYO3atSbXA6dOncKpU6fofefs7IwxY8bwbAbWr18PFxcXzJgxAwzDoG3btmjbti31w2VZFqtXr4ZUKsWsWbNeOPgxLy8Pq1evNjrn5vzthd/thx9+aBF5vH37dt54fPLkSYuPk4g9COFGvGxlZd0bxB4hOzvbZL0ydepUrF+/HgcPHhQlbQHDvExqoNLSUp6V1KBBg9CqVSts2LABBQUFKCgo4G36Cm09PD09MWnSpEqN840aNaJq04iICNrpJZZ3wQ2y+7cgOjpatMtEoVCgXr16YFmWdid+/PHHAEDzDYRjANnQNCXKIhv68rK8gxrOjkBSAbRl18rIkSPx888/G1klEEsqNzc3ZGZmYtmyZbSG7tGjB06cOIG1a9eaVGxX4/WimrStRjXeQLAsi2vXriE6OrrCFhrAfHH+olCr1Th9+jRu3bplcdu7Kbi6uqJ9+/avJLSioKAAd+/excOHD5Geno6CgoIX9stlGAYODg68VkxT5/PevXs4cuQIbyElBFdpq9fradjYy8DKygoeHh5o0KABmjVrVqlWUZZlce/ePVy9ehWpqakWq4itrKxQq1YttGrVCh4eHtixYwct/E2RHqWlpZUOOMvJyUFkZCQiIyMr9XevAgqFAnZ2dnB1daWesF5eXm+MRcfLgGVZLF26tMLvn6vo0JYt9ki73Nq1aytNpnEXfgqFwohkImoBBixs5QB0QIkFZcqUKVNoS1lcXBwvzMfR0ZEuNi5cuAB3d3e6gGcYBqGhodTSYP369ejZsyclX0yBq0iVy+X0HPzxxx8A+AU31x6Gq74FDKp3kvJtCcioZiU3Picd6nvg8Z0iZOjsECTL4P1u/Pjx2Lp1K33MDX9LSUlBWFgYFixYAJlMxgv4CAsLM0tAVAatW7fGqVOnaFvt8uXLMW/ePJPPf/fdd/Htt9+ipKSEBsoRsCyL/Px8PHr0CElJSUhNTUVBQUGlfWBfFMR/18rKikeA6PXl5Ee8rgYay9Jhwj76H4Ner6e2F5YSteZgY2ODadOm8ebJlJQU/Pbbb9BqtcjOzqYqNW775ZsAmUyGESNGYMSIEWBZFpGRkYiKijL7NxkZGVTxqlQqMWzYMKNWakdHRx6xdvnyZZw4cYLOldevX8f169cBGBbNQ4cONfJ1rEz3lBBKpRLdu3c3SdYAhs9OAoOAcr/3c+fOUaKhoKAAu3fvpt0RSqUSnTt3Rps2bXjjvre3N5ydnSvlkRsfHw9ra2v07NnzhQl9lmXx559/im4kdO7cGd26dXuh17UU+fn5WLFiBX3s5uaGadOmmZwTv/nmG94YJVQo+vr6Yty4caJ/S3wura2tTXbIDRs2jNfRAJSrNQl0kIh6XHLnel2Z7y3B3LlzRVu89Xo9lixZgkmTJsHT0xPffvut0WcioaAqlQqrV68GYAg6GjBgAEJDQ6mqNjs7G+Hh4ejfvz+9bjt06IAOHTpQZbJOp8PKlSshk8kwa9Ysi5X5eXl5WLVqldGxDR48GM2aNRP9G61Wi2+//Zbee3Xr1sX48eNNvgfLsjh48CANIbUEJJCLu6lWo0YN9OnTB1u3bqXfiaxs5lcwAHSAtoygi4mJoZvQAHD69Gl6zdesWRNSqRQ6nQ779u3DoEGDRI+BWDSFh4dDp9MhPDyc5hZ4eXlh0aJF1C6Bu/HEhSU2EebAMAwmTJgAwEBaiqlJmzdv/q8ibLVaLd2kFoLUPVwvWzs7O7AsS9eujRo1ouOalZVVhe9HPG3lZUlkPp41ABTQa4iE+3HvgcjISLz99tv4+eefebX4jz/+iOnTp6NDhw44ceIEAMMmTVV05lbj5fDvX31Woxr/cqSkpCAyMhJJSUkVqn6kUin8/PzQuXNns612lUVubi5OnjyJ+Pj4l1741qhRA506dUJQUNBLTbIajYamRqempiIvL++Fj420ntSoUQO1a9dGo0aN4ObmZvHxsSyLmJgYnD59ulIE9ou07ioUCkrKNm3a9IWKoadPn+LSpUuiCglTkEqlcHd3x1tvvYUWLVpAoVBArVYjJSUFcXFxuHnzpsnWnKqAXg881LnAnSmCA/PigTSmYGVlBXt7e9SoUQPe3t6oW7cuPDw8/lWFYFXg4cOHiIiIsOi53BATLRjIwaJnz564f/8+8vPzjci0ikASdAkJeOzYMd7vaQIu9HC2lgNqmLVHILhx4wbGjRuHiIgI7Ny50+iYfH19MXDgQOzfvx979uyBi4sLL6BjxowZOHbsGC5evIjjx4/j/v37eOedd0TfS+jFxg1eIQs8EggI8AlesVZYbstrRSDnR6mQG/1uUPvG2HbnMtJZO+j14JGFdevWRWhoKFJSUrBx40bR116yZAmGDRuGWbNmYfHixXQuOnToEA4dOoRJkya99Jzz6aef0gWqSqVCdHQ0VdUnJiYiISEBycnJdKznjp+mfOGqCtx2fT8/PzRo0MCkokrobUjAVasV6JVIY+3hJS1Ajx49UL9+fezZs8dij1HAQNBIpVKo1ep/1E/bHFQqFZYvX04fE9sXHx8feHp64unTp1RZuH//fuzfvx9ubm6YMmXKG6O+BQz3Zrdu3SjpcevWLezbt8/seVer1di2bRsAQ43RqVMndOnSxWhOadOmDdq0aQPAQITu3LmT+jMWFBRgy5YtFh+nu7s7WrduzSMx0tPTsWfPHkrCq9VqHDx4kPoXOzo6YsCAAUZBWMLPT0gyghs3buDkyZO05V+tVuPYsWNG47YQEokEQUFB6N+/P5RKJa2foqKiaD3CzVwgqFmzJvr168fz1BWCZVkcP35c9P5r0qQJhgwZ8lrm9I0bN/I25KZPn27UbkwgbK8XA1EqikGlUtHr5ZNPPuH97uLFi7zHwutVUzYmMWDBgoFOz0CtNu7E0Om5pK3x+SOt9GLYvHkzmjdvji+//BK//vorL3RJrVajefPmcHBwoJvxsbGxiI2NhUwmw4QJE7Bo0SKsWrUK+fn5OHjwIA4dOoRPP/2UqrCJ6vzUqVM4e/YstFotVqxYAblcjg8//NBkjZybm4vVq1cb1eEDBgxAy5YtRf8GMPbW/eCDDyjpxUVqaiq2bNlicvNbLpeDZVmjTZdRo0bRGmHt2rW8302fPp3OdUQlKZOUkbZSCVBaTrA/fPgQPXv2pBvpUVFRvI2Kjz/+GMuWLUNsbCwGDBhg8r7gErcsy+Krr77Cl19+iby8PPzyyy9G15RMJsOMGTNoiOPy5cvRuHFjDB8+XPT1LcGRI0d4nXg2NjaoW7cu7SY4ceIETpw4ATs7O0yePPmF1davC6buleDgYJrhQTZGiMr2r7/+AlBOsBLrOJKNIFx72tra0tdgy64Jq7KQWg9XJwDlIcJAuYjI29sbqampOHPmDO3mAMrv8efPn+PKlSsIDg7GoEGDsG/fPvzyyy/Vats3ANWkbTWq8ZqgUqkQFRWFO3fuWESkubm5ITg4uMrtA54+fYqTJ08iKSnphRWpBJ6enujcuTMaNGhQKQI0JSUF9+7dw5MnT5CVlfVSQSVWVlZwdnZGrVq1EBgYCD8/vxc+X1qtFnfv3sXt27eRmJj4SpRbCoUC7u7uqF+/Ppo1awZ7e/uK/0gEhYWFuHz5Mu7evYvs7GyLCWLSkqzT6Xh/o9PpkJaWhrS0NBw9ehQPtK6wk2hQU1rwQsdXWTxj7XG2tC68mTz0sjLv10tafB0cHFCjRg3UqlULderUgaur6/8cCVsZCBeaHh4eUKvV1KeYFHUk4E3DKfi0egaQGJQQH330EV1YrF+/nno7VgSixCK+rVyvMqB8sSiFHjUcbYAc1iJ7hD179iA0NJSSogcOHMCAAQN4z2nRogWeP3+OS5cuYdOmTfjoo494Sp1evXohICAAW7duxePHj7F48WIsWLDA6Hpat24d7zEJsiFEhnAxQdpGyc+J+py0NXK96Cq6dtkyJbK1lTHZ1czXGQxYFEOBQr0C9hLjhSSxQsjIyMBPP/1k9Pu//voLZ86c4S3ICDZv3gyJRII5c+aYVThptVqkpqbi7t27SEpKQm5uLjQajej4xPXBfFWwsrKCk5MTvLy8EBAQgICAgBcmC/fu3UsVkkLY2dkhs4C/qIrX1oCXtAAnTpxAfn4+zxv06dOn2Lt3L89OR4iX7XD5J6DT6ZCfn4/8/HyTljWZmZmUxGIYBo6OjrSjoW7duvDx8fnHx3Gux2xKSgp27NghWreRMVOv1yMqKooqdQMCAjBy5Eh6rbEsiytXruDq1asWe//LZDIMHjzYZOs2gYeHB03+Bgz2KwcOHKDjel5eHm27BQx129ChQ+Hu7m72dZs2bYqmTZuioKAAe/fuNRqvTf1Nv379ePcYwzDUr5Tg+fPnOHToEO8aSUtL420qKZVKtGvXDh07dkRMTAyPSCPw9fXF22+//do2AG7fvk2VxwDQtm1b9O7d2+Tz09LSsH79egD8ziuiggQMnWjc708I4nvZokULo/uCzDtiilFWD+jK5nAraFEMBc83ngu+0tbwb5VKRTu5CFEnJBkJYmNjcefOHcyfPx9///03z7qDdKP17t0bTZs2xcaNG5GVlQWtVksVxHXq1MHw4cOxefNm6PV6LF261IgIDAkJQUhICN1gLS0txfLly6FQKDB79mx6rDk5OVizZo3RnNO7d2+zXvwsy2LZsmV0PULCn7i/57bxVwTu+sHDwwPvvvsu7zolIWIEDRo04NlM6ARKWyuZ4bvTlW2mc/3zuZsfBDY2NtTDdMOGDWavMS5xq9frjTZJlUolBgwYgF27dkGr1WLVqlWYM2cOoqKicO3aNWrXMnv2bF7wWEU4ffo0r7vBysoKc+bMoYT98OHDkZmZiU2bNqG4uBiFhYW00yE4ONhsBsA/BdJxJQZyvFwvW7LpQCx4SNAvmf+DgoIAgGfTARjCLslmDqkNlWXWWdZl/9dyNmOCg4MRHR3NI+Fzc3Op7/jVq1ep+OHQoUMICgpC8+bNsW/fPgCGet3f379yJ6MaVYpq0rYa1ahisCyLGzduIDo62qL2Q2trazRs2BBdunSp8iCO+Ph4REZGmkw4rgy8vLzQtWtX0VRVgpycHNy5cweJiYnIyMhAUVHRCwfFkNRosthu0KDBS/ufFRYW4saNG7h//z7S09PNJuC+DBiGQb169dCvX7+X+k61Wi0NA8jMzHxpkh0ArwXHFApZBc6V1oGNRIPR0psv/Z5CEM9PqVQKmUwGuVyOxCxDcVEsQtKRdrp/eiH/b4WwjRMwkJTJycm4e/cuAL4KlCw2SjkFH/HGI6q5BQsWYMmSJUhLS8PZs2dp2IgpkMW5hCMBFV6HpMWLkbDwruEMJGWhRODJZ+4zzp07F8uWLUNMTIxocnvv3r2Rnp6OxMRErFixwih8rG7dupg/fz6WLl0KrVaL8PBwmugLGBax3PFs2LBh9N9E8UQKboCveiKLz+joaADigWMV+emSBbe10pigUMqlcGVUeM4afG3tmXIymGVZ3rlwd3dHaGgocnNz8cMPP/CUQNnZ2TzCdtSoUbh27RoSEhKg1+uNrqN/AqRzws3NDbVq1UL9+vXh7e39ysaHHTt28Pw5ueSLp6cn3n//fYSFhUEHvgL6MesEDaOEglUjOjoacXFxkMlkKCgoqHTLuzk4ODigdevWaNOmTYX2LSzLIjMzE7t27bLIeulVg2VZ5OTkICcnBwkJCRVa43A7JmrVqgV/f/9Kdc28CHx8fDB37lwAhnFm27ZtVHHPHQ+4RFxCQkKF6krAQIb5+fmhU6dOcHFxwe7du+lYqdVqefYEjRo1wpAhQyCXGyvtuQgICKDBa4AhjOjkyZOUjHr27Blv0yYgIABDhgyBra0tAFRI0hIlbXBwMI4ePcpTj9+4cQM3btzgvfbAgQON6qAaNWrwfM21Wi2ioqIQHR1N6zJi0SUkKxwdHfHuu+++suA6MWg0Gnz33Xf0+1UqlZg3b57Z6+7y5cvUh594RgIGhVxRUREAw2eZOXOmyde4ceMGvcaI4k4MgwcPNvKV5frZKiVaFOsVoipaoLzlHii3KTpx4gSvrd7NzY12rIhBo9EgPDwcM2fOhK2trVGGAQn3IzYpN27coN6liYmJlAwlSkBCBE6ZMoUGlwKgth6HDx9GdHQ0NBoNli1bBoVCYdShARi8ObkKcjHcuXMHu3btoo9JZ8nt27exZ88ek+O1i4sL3nvvPRQXF+OHH34w+r2YvZBarRYNqBo1ahS++eYb+pjaI5Qpba3lJGOgjLwVOaacnBxeh8iMGTMQHh6OZ8+eQaPRmNzcSE5OFlX8d+jQAT169KCPGzZsSO0SVq5ciW7dumHevHm01X/VqlWoV68eDdoyBeJXTCCTyTB79mxR1bSbmxs+/fRTAKBqa8CgiL5y5QrkcjkmTZpkUR7Bq0Z2djbu378v+rtp06YBgKiXLbeDS6FQiG4QCj3MO3XqRM8FqQ2JdZaNwnCtlJZdQxqNBr1790Z0dDTvvdavX4+JEyfi559/xrFjx/Dll18iMDAQ9+7do/62Y8aMwfbt2xEREVGttv2HUU3aVqMaL4G0tDRERkbi0aNHFaoypVIpfH190bFjR9StW7dKj4N44F68eFE0zbWy8PHxQUhICPVZU6vVuHfvHm7cuIEjR44gLy/vhRedZGfR3d0dderUQaNGjaokFZZlWaSnp+PGjRtITExEVlZWlS6MzcHa2hrdu3c36buk0Wjw9OlTpKamIiMjA9nZ2SgoKIBKpXptPoyVASHKiMpxwIABcHFxgaOjI+zs7CCTyap0kXz27FlcPWZY6IktKkg7HQB07NgR3bt3r7L3/r8OsVbu2bNn4+7du5SwBcoJVBI+APAXfVwljlqthlKppF6xp06dQr169eDp6WnyOEgbMZfoFILlKG3rersDV7JQojdPUBD89NNPmD9/Pl0c//jjj6KL4QkTJmDlypXIy8vD4sWLjXx5lUolQkNDqf/gsmXLMHbsWNSrV89oUUaUeFy1DJdI+Pvvv+m/iR0DISTEWoCFnrfCwp2cHxuluMdZE08bnHoKpLP2CED5PPDgwQM0aNAAeXl5iImJwaNHj5CdnY2SkpIKN3D+/PNPs7+vSkilUjg4OFCLgsDAQKpQ5tp6jBs3rsrnUCHEVFVKpRIlJSWUFCBttoTEIKoWOXRwkhTjud4O90sc0VhuIMsq6rCRSCRQKBR0nH369KlFXSj5+fm0fZTA2toaTZo0Qbdu3XibnQzDwN3dHdOnTwdgrB5mGAYzZsygCnKWZZGamooHDx7g4sWL/7hNQ0lJCUpKSpCZmckbv8RAOjIcHR3h4eEBX19f+Pv7v1RrrYODA7VEycrKwtatW6mi1ZJ6QyqVYuDAgSaDsbhEZmxsLI4cOULHF64nvo2NDQYPHoz69etX+J6tWrWiPqEsy+LUqVO4dOkSj2Amyi8xSCQSNG7cGP369TPaOOeqx/Py8rB//34e2ZuQkMDb6PHx8cGgQYOMrARkMhlCQkIQFBSELVu2mA2KzcvLo6/p4OCArl27omnTpq+MuP/7779x82b55vW4ceMqVJz98ccflLwJCgriBdkRdb2NjQ2PXBcDITXFgjuF/stC2wpib8SAhULCAvryjVEu8vLyqHoTKK/Bbt++beSF2qJFCzx8+FA0m4H41/7www/UU1hIuAPlNikjRoxAaGgotFotIiIiqK0CCfAj2LBhA5ycnDBr1ized0wC8Xbt2oU7d+4Y2RR07dqV1/4tBpZlsXLlSmoB4uTkBJlMZtK/lWEYDBgwAM2bNwdg+A6EoVwODg54//33RfMmnjx5YvK1hVYKZD5RMIb5hqonRWpkEii1fv16zJ8/n3e8hIT7/vvv8dlnn/Heb+vWrUYdEc7OztT3+Pz58wgJCaHnnWEYfP7559i3bx9iY2Nx+vRpXL16FaGhoVQB/eDBA4SFhYlahly9epXatpDXmzVrlsXqXKK2LiwsxMaNG5Gbm4vS0lKqZm/QoAFGjRr1jwk8TAVLu7i40M4GMZUtuSaIap/UXdx5Qth5I5PJ6FhC7mtrK0O9TAn+smvowoUL6Nq1q9FxFRcXG/ndjh49Gl999RX0ej1++OEHXh19+/btCjs/qvHqUE3aVqMaFkCtVuPcuXO4efMmndzNwdXVFS1atEDr1q2rPLhIq9Xi7NmzuHbtmsV+paYgkUjg7u4OJycn5OXlITs7GxqNBikpKZXyWSOwtraGq6srfH19ERgYWKXqJ5Zl8eDBA9y+fRvJycnIz89/YRWvOchkMjg4OEClUplcMDMMA1tbW+h0OpSUlKC4uBgHDhyg6b5vMiQSCRwdHdG4cWPUrl0b27dvN1psEnLI4IEmgZ+fH1xdXV/ZMZ06dQo6GJLjhaTt7NmzsX37dro7fO7cOZw7dw4A0KdPH+oVWA0+WJbF4sWLeaSclZUVPv30U6SkpPAWeIMHD6b+WeQ8MwzD97TlqG63bt2KKVOmwNfXF+3atcPFixexbt06I+UqF2RzghR8Yup/hdIGKDEsMj2cDcWsWhCkQhYnQqjVarAsi2nTpiE8PBxZWVkoLCwUVW7MmTOH+rd9/fXX+PLLL42es3DhQmzduhWPHj3Ctm3b0KpVK17RzC2mScFN2tgIKgodFAbCCJUiRNVMoIdpewQAGN6lOU79cQMZLP8zb9++3exxmEKSzglZrC1ayFJfKlCLWNiQrgl/f388e/aMt3itKJXb39+fkgBbt241sreoKrAsi40bN/LUgw4ODhg0aBDPC5qrwCbhM+X2Hiw8pQV4rrVDkd7ytm29Xo+SkhJkZGSYtU2wBMXFxYiOjqbKbqB8vg8ODoafnx8cHR0xePBgDB48mC64WZalC0/i5VirVi3UqlULISEhJsOfRo4cidu3b1dIpL5OCEPXuApQMTAMAxsbGzg5OcHT0xN+fn7w9/eHQqGotLWB8HXJOKzT6Xjp6K1bt0bv3r1F66TmzZtTckilUmH37t149OgRfcxtww0MDMTQoUMrtAlgGAatW7dGWloafS1zkMlk6NSpEzp27FhhLefo6MgL0iLeunfu3KG1WkpKCn788Uf6HDc3N3pfC8+tVCrFiBEjEBgYSF/v6NGjuHXrFq1Z8vPzsW/fPtrCyzAMgoKC0KdPn0qFtIpB6AFuiYIQMAQMEdK5Y8eOtF4JCAiguQBWVlZmgxgB0BrcysoKfn5+Rr8nhCgh5IX3HlHZyaGDTGI4/1zvWoLr16/zlLbk36YEBSNHjsTy5cuN1h9qtRqtW7dGdHQ0oqKi4OjoiP79+/NIOi527dqFXbt2YezYsdRDPikpCREREUY1aW5uLsLDw9G3b1+0bt0agGHTREzdSnDlyhW0a9fO5D2RkJDAsw0h7yNErVq1MGHCBFrbqNVqrF69WjTQzZwSkQSqAeVqYoJ27doZfRZCzsrLvjI7awUAVvQ7/OCDD3jWDlyMHj0aYWFhKCkpQVZWFlJSUuj4w8WQIUN4dQ2xSCDhZNz7f9CgQWjVqhU2bNiAgoIChIWFYc6cOejatSsNpPvxxx9Ru3ZtvPPOO7h16xb1bAUMc9H06dPh5uZm8nyZg52dHWbPng2ATwTHx8cjPDwcEokE//nPf8x2hlY1uN7uQsyYMQOAuMoWKN/MJ/YdxPbAVIAcAbkGyZqNkLZEaUuuoZs3b6Jr165wcnJCbm4utc0ADJtSRP1/+fJltGnTBl988QWtoy9fvoyJEyfit99+w+7du6tJ238Q1aRtNarBAcuyiIuLw4ULF/Ds2bMKSUGlUonAwEB07ty5StSiQqhUKpw6dQp37tx5Kd9XU9Dr9UhPTzcK1xFCLpfDyckJ3t7eqF+/Pl3IVCXUajVu3bqFe/fuIS0t7ZX7+clkMtjY2KC0tJT3XiTx2hxYlrWIvH/dkMlkqFGjBurWrYsmTZqgRo0aogut69evY+/evXQxwYVEIqHtcYCh8P/hhx9eWVsMWWwRwoP73oCh3Yq8d05ODrZs2UIL6yNHjuDIkSNgGAbDhg0zIs3+VyH03QMMnneDBw9GYWEhjyzr0qULJWxHjBhBWwRZlqWLPoCv7uASWr169UJ8fDyys7OxePFi0euEXGek/RYwVgUBgJ2DE5AHSCV6ONsYxpcSQZli7r7bvn07xo4di+DgYFy5cgXff/+9KCELAIsWLUJYWBj0ej2WL19O25+5GD9+PG1xFXrGDRkyhP6b2OCYUhGT0BOyYCdkAlnAmYJQcURb4ESCyAAguI5hAZSrV0Krl9CF+oviSmktFOqtUEeaDRcJfzzmWgQQmEvjFsLX15e3cF29enWFY0znzp2RnJxM1XvCheTLgGVZ/PTTTzziyMXFBdOmTcO+ffsoYevi4oJZs2bR53CJdW47q4ujA5AFnock8Yr+p0Dme0s3F3/++WfeY4lEAqlUCoVCARcXF2i1WtqSTQL3WrRoAS8vrwrfQyqVYsqUKbC3t0diYiKSkpLw7NkzZGVl/WNevizLorCwEIWFhUhJSRH1iRRCKpXSObdOnTqoXbs25HI5rly5giNHjojaEclkMqpY5hLrtWrVwpgxY0TJRhsbG156/a1bt3Dw4EG62L937x61Y7C2tsbAgQNp2FF+fj727t1rkqQlStoBAwaguLgYf//9N1U9arVankWBjY0N+vbta9HCXalUYvjw4dQaRqvV4sSJE4iJiaGfPzMzkxfWCBg2xLjjK/f1yCYD9zycOnWK1gQsy+LWrVu4desWfU6NGjXQu3dvi/0YWZbFihUrKCkpkUjwySefVEgCa7VaXgARV2naokULurkjk8l4ikcxkHBGwDh8TAjSoSG8zsimq1zCQsYA0IkrbW/fvg0tyrs3xEhBIebOnSsaDhkfH4+pU6di/fr1yMvLw8GDB81aKgDlXTgTJ06En58fvvjiC7Asi7179/IUzoB5H/Q2bdqgT58+2L17N27fvo2ioiIsWbIE9vb2+PDDDynpSjpxTK3v5HI5xowZY9TNERsbS+tVAu48uGjRIpOfcdOmTZSI69y5M1xcXHjze48ePYxD5YgfsdTwndnbKAGoRJW23GtTaIcElLfSC4lhPz8/vP3226Kb7aGhoVRxKUbcenl5YdGiRUZ2CV9++SXOnDmDyMhIPH782Og6mTp1apVaGZBOAo1Gg19//RVpaWnQ6/X0uvL29sY777xT5QIqLm7evGlSRNW3b1963sRUtqQWJpvQ3PuY/J2pjihSD5P72rasC8vWiqiypdDryzcjhg8fjo0bN9LuEHLs5J49evQo2rRpA4ZhKFF75MgRXn1MQsqq8fpRTdpW438WGRkZiIyMREJCgsn0TwKGYeDj44OOHTvC39//lbReZGVl4cSJE0hISHhtLYgMw8De3h6enp7w9/dHw4YNTSaxviyys7Nx/fp1JCQkIDMz8x+3BeAuOP8NkMlkcHFxQe3atdGoUSP4+vpW+joUC9LhFp01a9aEUqlEakI5cVGql0Ip0eHMmTOi7TUvC2J7QBYKYvYIYWFhCA0NhbOzM91dT0tLQ0REBFQqFViWpaoNhUKBMWPGUGuP/zX88MMPNPCLgCyGWJblqQGcnZ15CuqgoKBy0pYTYgIAWoHilatinTVrFi3M165dS1UFBCdPngQAqqYBwEuYpsfj5g4kqyGFHs42BmKyxIIgMoIHDwwBdv369cOVK1eg1+uRkJBgMjWdBG8UFhZi06ZNPD9agjZt2sDPz49HYHE36MhCDOAHiXFJA+JfS/wNif+vUK0ohNBzlBCAcqm47LWGvRXk0KIUMhToreAsKd/oEyNEyUKAEEssy1KS5tq1a9TTWCuyiCcpxCNGjMCaNWvoInvv3r0WL8omT57MW9Bt2LCB124thrfffhvff/89CgoKEB4e/tKbSVqtFj/88ANvEePp6UmP45tvvqGqr549e6J9+/a8v+dugJAxTAoWDnbWQBafJCktLUX37t3p/SCVShEUFIT4+PhX5q9OYGdnB2dnZzx//vyFN4D1ej20Wi20Wq3J9vVr165RcsocdDod756SyWRQKBS0W8fW1hZZWVlG6ktHR0e0bdsWaWlpyMjIQF5eHtRq9SvpurEEOp0Oz549w7Nnz3DhwgWL/oZb3ykUClp/Jicn01Zre3t7jBo1StRGBeAHpanVauzevZtuChUXF5u1NeGStMLNd4VCwRunU1NTsWfPHvo9EMUv2RR0cXHBkCFDqP2LOTAMg5KSkgrrW64vrrW1NTp37ozWrVuL1jvc8wCAEoXEgxswjKNclbxCoUDLli0REhJiRORERUXxWvr79+9PlazmIFR9tm/fnr5OSEgITp06BcBw7j///PMKX49cB02aNBElm8jrmQOxN5JDZyBtUa7I02q19HVzcnKg05d7xnJrsLy8PJN2IiRtnou8vDzExsZi0aJFtNNn//79aNu2rZFNE2BQ7RLS/rfffgMA6mE7dOhQDB06FFlZWdi4caPJzZyWLVvygkfJRgHxIi8oKDA6TiEaNWqE4cOHG11jJCxN2BnUvHlzlJaWUp9RsdBSwDC3cucQ4pUrJDK3bt1q9Ldk3rUuk9o62BpIW25d9vTpU+r3S2r5P//8E2PGjAHA94AlkEqlmDBhAnx9fc2eEwD48ssvaVeSGHFL7BLI2uL06dOIiYnhbawQCDc8qxoKhYIGx8XHx2PHjh3Q6/VITU2l3z/xU65KsCzLs8ISgijDTalsCVn/3nvvAQD1defW5mRjz8bGhjf3krmcBJHZWhvsa6zLlLZ6SMBCAknZWEjmE6GSnbwOdx718/NDo0aNEBcXh+XLl+ODDz7Azz//jEOHDlWTtv8Qqknbavyfh0ajwfnz53Hjxg3ewswUnJyc0Lx5c7Rt2/aVJdI+efIEp06dwpMnT17ZYsPGxgY1atSgJJ8p1WVVgGVZPHnyBDdv3sTjx4+Rm5tbJaFZrxskIEuv17/W42cYBk5OTvDx8UGjRo3g7+9fZbvCWq0W69at4y1+JRIJxo0bh61bt9Lrj1gNGAJ1yot0UvhHRkaic+fOVXoNkeRgoJzcEFOCAOXELUHNmjVpe+HDhw+xY8cOlJaWQqPR0LZCGxsbTJgwgXo2/V/G8+fPeW2nBFzLgvDwcN7vPvzwQ7p4mDRpEvU2k8vlKNQIVDuk9bssbCciIoJ6O5L3Wbx4MTIzM3Hq1CmEhIQA4CsEuK1wYuOee00vIPYRZBI9nKwNY68WUuj0Ekg5qtGmTZuabHWOjY1F8+bNMXr0aOzYsQO///67SWKPYRjMnTsXy5cvR3JyMvbv3y8a9iL0DszJyUFWVhZcXV3pYkuoDOMqDck9Q8h0UsRXRNQJ2y/ZslMgM3EPSiQSOEpKkKmXIV+vhDPMk3NcnzoC7sZOuU2KhIZRcJGamopVq1ZBLpdj6NChlMhZv349pFIpPv744wrVadOnT6fX7dOnTy1KKP7444/pdbt06VKeh5+lKCkpwZo1a2ggEGBQ/06cOBEMw/BS3wGI2jEIySeqtAULRzs7ACp6DglOnjyJnj174vjx49DpdLh16xZPDc6yLO7du4cLFy7g6dOnVVYfEAUpgb29PXr16oU6deogKioKt27dsljh2r17d7i5udEAsYKCAhQUFKCoqEi0vdgScMlgc50ueXl5OHr0qEWvKZFI6H+vy9++sjAlGCgoKOC15jds2BDdunWDq6ur0Rys0WgsrleUSiX69+9vcYurt7c3bxMuLi4Ohw8fptdSdnY2bx738fHBsGHDeBtbQiKUoF69ehg1ahSv1rlx4wZOnDhBX7+4uJgGWAGGualNmzbo1q2baC3i6OjIszBgWRYXL17EhQsXKNmh0Whw8eJFnrKxZs2aPGLOzc0N06ZNs6je4QZqOTs7w9vbmxL4Q4YM4bWim+r84CIuLo5+n6a6NwgRR+yhxEIFyZytkLBQSPn1VWJiIm0d1+l0PPUmtwY7duwYRo4cKXoMMpkM06ZN44XaAQYlXoMGDbBo0SJKnF66dIkXxkawc+dOzJ49GykpKXT+2LBhAwBQT1Qu2SWG69evo2nTpryNg0ePHpkM0iMwt7l4//59nv0IYKh9Jk2aBG9vb1y6dIlekzNmzBBdK6pUKp7f7fz586FUKo3u+X79+uHQoUNGf0++E+Jl62xvByCb911du3aNkrZ9+/bFgYOHEHfvPr799luj+oLYc+h0OosIWwJCwJNwVjEbrMGDB6NVq1b45ZdfkJ+fzyOhico8OzsbYWFhlLh+lWjQoAG+/PJLsCyL7du30w194qfs7OyMyZMnv7SFCmBcV3PBtUAh1wJXZcsVDpH6gtzbo0ePpr8jpC2Zx4gHMLXdKbsm7GwMpK2NnJ9HIYX5+W/r1q2UEOYqaUeOHElJ+x07dtCNgcjIyAr9oqtR9fhXkbZLlizBX3/9hXv37sHa2hrt27fH0qVL0aBBg3/60KrxBoBlWcTHx+PChQtITU2tcLFjZWWFevXqoWvXrq/Mr5PYLZw+fbpKAsIAw4Dv6uqKOnXqoEGDBqhdu/YrbfsADAuqO3fu4O7du0hNTX1pL91XBZlMBmtraygUChQUFFSooBZCr9dX+eJOIpHA3t4eXl5eCAwMRMOGDV/ZZgAXWVlZ+Pnnn3nEgoODA6ZNm4Z79+7xiipCSJBFDbell6uyW7NmDVW6viy0Wi1PpUjtEcBArwekUoMPIFehISRuCfz9/bFw4UIABoXjnj17wLIsVCoVVXM5Oztj4sSJLxVC86aCtANyUbNmTao6AGAUNDN//nycP3+ePvb19aXhLj179sSfB07wnk8WCuT+EFqqyGQyTJkyBRs2bMDZs2dRv359+Pj4YMeOHQBgmRJLalDXSiWAUsFdRPKLTnPelPv27UPz5s2pDyIAHD9+HD179hR9vp2dHW0Nu3btGjw8PCipSiDmTfvDDz9gwIABtGNAGCxExh6xgA0xIkDMn5VLKALl96XMhNIWAByZEmTqbJHHKgGpyaeJghueA3A3UhjEx8fT0Jhff/2V19pZWlpKF9xNmjShnpPLli2Ds7MzZs6caZL8qFGjBg1KAYCIiAiLbA+ISlqtVmPz5s2YNGmSRZ9RpVJh9erVvAWt0Kvy4MGDtDXe3t6ep4rhgtxTZCODnC+phIWDnQ0Mqijj7+r48ePo0KEDzp8/D71ej7CwMPqZGYZBo0aN0KhRI97fqNVqnD17Frdu3bLImofUBKZUjQUFBUYWKgTW1tawtrY26etOlMLkuU2bNsXgwYNpSBXLstiwYQO1DQEM8+DkyZORkJBgROBxPV8JGjZsSO0KiouLoVarodFoKtWFpNfr/zEFblVDGBxZEXx8fDB48GA4ODjgr7/+oqp+osol372/vz9GjBhhFDBmCtxrkxCikZGRdBxMSUnB6tWrTf69p6cnxo8fb5Isadq0KW8sTUhIwOHDh2n9XFpayvO1ZxgGb731Fvr27StaVzEMgw4dOqBDhw70Z0+fPsWhQ4d4Y5hQSUk8oU0pfAn27NlD56NmzZohOzubzsXjx4/nKXwt7QogylOuP7Ap9OnTBwBENzKIPYKVVA+51PBv0g3w6NEjnt+nDozovyvqBnF3dxf1rY2IiMD8+fMxevRoPHjwANu2bTMibMl9v2rVKowfPx6hoaG4du0atVIQ24QGDB1BISEh1Htbp9PxNg4sxV9//cUj5lmWxR9//EEV6wQBAQH4z3/+Q5+XlJREz/fo0aNFfVkTExOpeEAul9P6FIBREJkY4Q6U1962SkNd5ObswPs5eR+C4OBgTP/7EVR6OYbjNkiZYGVlBRcXF16Ncfr0aXTr1k30fcXw+eefY8mSJdBoNFi8eLERcZueno5ffvnF6O+6deuGzp07o3///li6dCk0Gg02b94MV1dX0aDYqgbDMHRuT01NxW+//YbS0lLk5ORQErVLly4v3EUo5g1MiE1/f386zrEsS+dSbj1BNubatWtHf0bmLG6IG9nAJ3WLsOOH1IaEtJVJGTBgwYJBqZ6BlaS8fm7WrBmuX7/O6/LQ6/UYPXo0Nm/ejMOHD/OUtJ9//jnCw8ORk5NDPbrPnDlTTdr+A/hXkbaRkZGYMWMGgoODodVqsXDhQvTq1QtxcXE8r7xq/N9HdnY2zpw5g/v371eoVpJIJPDy8kL79u0RGBhYpUrBnJwcxMXFITExEenp6VVKZsrlcgQFBaF79+5Vblmg1Wrx/PlzpKSkUE/brKysf7TNEDB8ZisrK+h0OrM761ZWVrC3t0dxcTFUKhU9Zq1W+9q9Zm1tbeHp6Yl69eohKCjoldlLWIo7d+7QFneCevXqYcyYMWAYBps3b+b5MHIJEkLk8j1ty5mf3NxcZGRk0BTUl4FwYVfuo2Zo5+nfpw8OHTqES5cuYf78+Vi6dCkA08QtAbdd8uLFi9QvKicnBytXrgRQ8cLx3wKNRkN9DLno168fr+iKiIjgEYCjRo2CUqmkafNESUV2/Vu2bInfD/DbL4X2COT53IWAl5cXOnfujKioKGzcuBGff/45JQEnTJhAn0esEQjZRV+vyHDPyxhAIWUA6AFIoIUEldnmIC2dH330EVasWIELFy6gR48ekJhI06pZsyb18z18+DDc3Nyon51QZTt16lRcuXIFsbGxVE0rvOe56okRI0bwfmZq/hErgIVzW7k9guk5rH5NRzxMAfL1fBKG2w4rBq7n3pQpU7B+/Qae0jY2NhaDBg2CTCbD5MmTAcAoXIT8DAANvMjJyUF4eDgaNGhAWzaFIEEpBP/973/x6aefmjxWwHAe582bh2XLluHJkydmiXnAcP7XrFnDI/0aN25M/TYBw8Lqu+++o+edJKCbAnmep6cnUlNT6Rgmgx72tmWLNYFH91tvvYWbN2/i/PnztPUQEA974UKpVKJnz55GnzE5ORlRUVFISkrifTYxclMul8PPzw9eXl6IjY01aQ9EwrssQXFxMS5dusRrfZbL5WjQoAFGjx6NqKgoxMbGQq/XUwXdwIED4eHhgU2bNvE8X7njASEoiU8lF4WFhThy5Aju3Llj0TG6uLigTp06cHJyQn5+PvLz843IYJ1O98YSvNmsNXJZJerKjIOPTCElJQVr166t8HkPHz6kc6tcLkf//v2NNqBMQUiIJiUlYevWrSZVvwzDoHbt2hYTxICBMOO2VKelpWH//v2UZGVZFtevX+fZPtWrVw+DBg0yWYt5eXlh8uTJRuMXd/OgqKiIp/CVSCSoX78++vXrR+e8VatWUWX5kCFDEBUVRcnlDz74ABs2bLDI75QL4sMpk8lMdhwQmx0uxFSlpHZTSiWwkpFNccN4xPWlB/hEINfT1hIRQ6tWrZCQkGBE8C5duhShoaGoV6+eqJUC8V5lWRZbt26l3V7e3t5GftqAYYOBS2T3798fhw4dMnnf2tjYwMPDgxKbDMNg/vz52LZtGx4/fozMzEyEh4fD2dkZ+fn5vM9qKsgqPz+f2jh07tyZtzlMcPLkSbqpQIK4uOBuZslkMly5ckX0+MlGuYONwafUvqz7iLsRyO3GKdbo8LwshFSll8NeYiDkSkpKkJaWxtuYiIqKMqptJBIJrK2taWho3bp1UbduXboZsmDBAixduhRqtRqLFy/GggULUFBQgLVr1/K+gyFDhiApKYlnl/DRRx9hwYIFlJTPyspCWFgYxo4d+9rCwry9vbFw4UKwLIuDBw9SG5/IyEhERkbCxsYG7733HlxcXCx6vby8PFEBATkX3GtVzMsWKK8Le/XqBaDcbksqNb/jTnISCEhtqOTkHcjAQgOmzBu53I5w4MCBuH79upGoiYwrwvuJYRhMmjQJmzdvxrlz5+g8fejQIWr9VY3Xg38VaSucqH799Ve4u7sjJiYGnTt3/oeOqhqvElqtFhcvXkRsbKxoUqcQjo6OaNq0KTp06PBSaka1Wo34+Hg8ePAAaWlpyMvLe6XtdVZWVmjcuDFCQkIsJpLUajWePn2K1NRUPH/+HNnZ2cjPz0dxcfFr88Q1BalUCnt7e/j5+aFevXrw8fGBnZ2d6II0Ozsbu3fvxtOnT1FaWmqR121JSckr9wAEDAtld3d3+Pv7o3HjxhZP5v8EDh06ZFT89ejRgy6oiCcVWZSI7XSTYpKrtC0VtPf+9NNPL+0jqVKpjMh1biGqgwRXrlyhO8HHjh2jBBxQMXFL0K5dO7Rr1w56vR4nTpygLYvPnj2ju+x16tTB2LFjX7lavaoRHR0tGsghbOM+c+YMb0FXr149NGzYkP6tVCqFm5sbb6H94MEDqtIh4LbktWrVClevXsWWLVuMrqFu3brh3r17yMjI4C3SuOeXkMUymYw3rhaqDESRnDG0NMvAltkjMDDhmiGKlStXwtfXF8OHD4ejoyPy8vKwfv16vP/++yb/JigoCBkZGYiKisLWrVsxa9YsuLi4GKkCa9asiUGDBqFevXrUN1JY/HL9JL29vQGAtj+ScCChak4swEtIfuiJ0pYxfTK6t3kLh1PuIE9vWOiR0KPY2FiTPmRr166lKqgZM2YYfKI5J5z8WxhwQjZINBoNNm7ciIyMDPo7QmYQ1Ul8fDzCwsJMqlqITQVQTgSSJGVTIIusjRs34sKFC/Dx8aHnlyArKws//vgj71wGBwcbLTaE9iLk+zcFrlUEUexxg8iI4kXo0X3nzh0MHjwYe/fuRVxcHNzd3el5Cw8Px4IFCypVu9SqVQtvv/0272c6nQ5Xr17FlStXeP7WpaWlePDgAW0VJbC3t4dcLq+ybiDi9chV/3O904mSrnnz5ujTpw/Wr1+PrKws0Rrr8uXLuHz5cqWPwdHREVOnTq3UxhzLstBoNCgqKqKWD4WFhSgqKoJKpaIkLyF61Wo1SktLKeH7qkjfSE1d5Oqt4czchjNT9YG0BKWlpdizZ4+oekwqlcLOzg4uLi7w8vKioWsFBQX47bffjKzHFAoFhg4ditjYWLpxx7Is7/tUKBQICQlBcHCwxWIKYQdJbm4u9u/fzwtZe/DgAc+7vVatWhg0aBBVRGo0Gnz33Xf0elMqlZg3bx7vGB48eIBjx47RcZGMYWLK05kzZ+KXX36hSrqPPvoIP/74I319SwMTNRoNvTe5bdVCkPPHVQ+LgczhtgoGyrJ2aTIeCe91nQl7BEsxZswYfPfdd0abPcS+RiaTITQ0FBs2bOARxlzilgTLmsLDhw9Fw89MQaVSUcK2ffv2dMPrnXfegU6nw/fffw+VSsVbW9asWRPvvvuuaD2o1WppDRoQECC6obdu3TpaR3fv3h0dO3bk/Z7rdQ8YlOUxMTEADLUZd2wm84lj2QagVdl3yCXYuWPOxRvlHUE6GLo2Fi1ahJycHNy/fx9PnjyhAh0x6PV6qFQqqFQqpKammiSTAaCAVWBg2O8IkqXDkTEcA1cs0LRpU55dQlhYGObMmYMWLVqgWbNm+O9//4vi4mJs27YNDg4OmD179iuz7xOCYRgMHDgQAwcORE5ODn755Rf6uYl6u3nz5hgwYIDZYyIiEDEILVrEvGzJfWxlVR4CSFT2vXv3rvAzcEGENtwNfZmEhUYPo+A6U58pLS0N1tbWKC4uRkxMDI8Y9vX1RePGjXH79m06rl25cqWatH3N+HetUgUgRYKpwlpI7PybQof+18CyLB4+fIhz584hJSWlQn8uhUKBgIAAdO7cuVJ+lSzLIjExEfHx8UhOTkZOTk6Vkn/cVGBTUCqVaNq0KTp37gytVouUlBSkpaXh+fPn+O2335Cfn18pj7LXDeK/6ufnh2bNmsHb29toElCpVHj48CESExNx9uxZ5ObmvnD4yauCQqGgNhONGzeGh4fHaysaqgosy+KXX34xau0Tekbl5+fTYhMwBCERz1ECrhch14dRSN4BBtKtR48eL3zc33//vdHPhO15z58/x6efforvvvuOqvy4/mmWEreAgTAgKjWWZbFv3z66Q56YmEjJxaCgIAwbNuyNvg5YlsX3339v1DpvbW1tpE5MSEigoQYAv1WMeGTNmTMHAGh7o4+PD27fvs1TWAOgoVQAqGLVVPE/bdo03uKK2/oFGFRggLGStEhteEyCtqSEtBUJp6sIT5484V3zz549g0qlMkvidOvWDRkZGbh37x7WrFmDoUOH8n7ft29f+m+uOkSj0SAsLAyfffYZrKyseG23BIS4IEUu15oCMF1Ic1Fuj2D6uYFeBi/JfLa8VR0wWEqIkbYk1AsoJ/y///573sKdqEXXr1/P8zEmUCgUmDZtGgDg6tWrvFZZIZFFVC2jR4/mqZTs7OwQHBxMF4pHjx5FixYtKiQwfXx8qCfgn3/+iZkzZ8LV1dXIkxYAOnbsiO7duxu9xokTJ+j3IXYfiYGQN//5z3+o92E5aQvY21oD4G+AAaB+gsSSIyMjA3K5nG5WLlmyBHPnzn2pjg2pVIo2bdpQv0uC3NxcnDlzBvHx8bz5uLLdKVKplCrRU1NTTYaScSFGaMbGxhqCKK2d0G3gSFw9c8TiY5FKpTz/eWG9lJeXx/OT/DeA+O8Sm4zS0lLoWD3yyzZgivSKCn2qXxV0Oh3y8vKQl5eHxMREo/FLCL1ej+PHj8PV1RXdunWjir29e/dS0k6j0fCIOnt7e/Tv379SlndOTk4YP348faxWq3HgwAHExcXRay45Odmk6nj8+PH0WuaiXr16vDG+qKgIhw8f5r0uATeArGnTpli3bh2d2ywlbAHgu+++AwCLLbQqqsE0ZeORvbUCCplhPidjufCe1ZqwRwAMG1rcVm1T+PTTT41IVbVajV27dtGOkylTpvAsEADjzUmC2rVrw93d3Sx56OXlhfHjx0OpVIqO+QQXLlzAhQsX0L59e1y7ds3keiQtLQ2//fYbJk2aZPS9kTrRwcHBaKOMZVkavAYYQqXEQgSFnSmEsAXA23gAyslZFwdDJ7E1IW1N1EMHTpwFUJs+hwTPzp07lzcfaLVa+lm41yfLssjOzsaDBw/w+PFjPH/+HPn5+aJr2vs6N8Tr3CGTsGjNGOq5Q4cO4dChQ5BKpfD29kZwcDA+//xzLF26FFqtFitXrkRISAg6deqETz/9FLdv38bu3buRn5+P8PBwjBw50sgW6FXD2dmZbpBwvbfJ3CSTyTBx4kSj71LMAsbOzg6FhYVQKBS8sUPMyxYoFyJyrZ3I/Met1QiRT15fDGTNppCVXxvyMksxch2p1Wra5SB8LcJdNGvWDBcvXsShQ4eM1LzDhw/H3bt3eZur3Hu7Gq8e/1rSlmVZzJkzBx06dDBpqL9kyZJK7cpV4/UgLy8PZ86cwb179yok8iQSCTw9PdGuXTsEBQWZLH5YlkVmZibi4uKQlJSEzMxMXtv8qwB3oUVgicJVrVa/sHrkdYCQsrVr10azZs3g4+MDhmGQn5+PhIQEJCUlIT09HXfu3LEoJfpFoNUziNV6wZfJgYe0qOI/EEAmk8HZ2Rm+vr4ICgpC7dq132girrLIy8vDjz/+yFP42draYvr06UaklJBE+eCDD0Q3OkjLFyBIPBcxxjx//jxCQkJe6Jymp6eLKqp4pG2ZstLa2hq2trYoKirCtm3bMHbsWEycOJEe61dffWVRsAcXDMNgyJAhGDJkCLRaLXbs2EE9zO7cuUNbblu3bo3evXu/UddNcnKyqHebMD0ZMFwjv//+O+9nJLWaqARtbGxoEUnu5ZEjR2LTpk1G3zt3oXDz5k3675ycHF7oDAHxHAVML8qEKCo2XM+KMlJSCr3RexOQJFtTsLe3NyKASPHs6uqKkSNHit4Ho0ePpspTYSIw1+uW+NUFBATg0aNHYFkW3377LSZOnEifwy28yVxE7k9he6olKLdHMK2E8nMzLPDUkKNEL4UVa7jXuC2ZBNywEhKSAhgWDiynPCTvK/QxFkOrVq3QqlUrqNVqbNiwwaR6k3gdz5gxgyrg+vXrx1ugL1myxKKNmeDgYCQnJ+PWrVs8AoWA23EgxH//+1+6AdK2bdsKFS4A3+O4Tp069N+krVghBawISSKiWluzZg1CQ0Op7Yuwjli+fDkln6sSTk5ORoF5lc0CAAwEHlcRplAo0LZtW1y8eJH3WRwdHaFQKJCdnW2yU0mvB/7M9kXEnwkYoyyEzEKRn06nq9LuJ0KWSqVSyGQyyOVyatekVCqhVCphY2NDx0w7Ozs4ODjAzs4ONjY2Vd6p8euvv+Lx48dQQ04X5Bq9DGPGjKGp6G8ySktLkZ2dTUkgsSAyIQoKCngKdjc3NwwbNsxkWJQYlEolj0TQarU4fvw4rl69KjoPbd26FY6OjujVq5dZwsjW1hZNmjSh9YGNjQ26du1qFCAlbJfesGED+vbtW2Hw0oMHD+j1PGrUKJPP45KdBNxsAC6IpZGjLVHy6WidRc4FqSF1JuwRAEMYmZCkNAUxG4Q7d+4gMDCQrtVbtGiBwMDACjdVHj9+TK2UCLiKfcBwzZB7z1Regb+/P+02It1W5PkffPABlEolWJbF+vXrkZ6ejpSUFISHh6N27dqYMGECGIahn0kikeCjjz7ivX5hYSFP2W2qW0K4PrSysqLzL1ExckG+K+Jlay1QSwuRpSp/ffIdFhYW4pdffqGWRoBhfeTj40P9p8nGPcMwcHNzg5ubm9FGOxdff/01NJoyz3S98bHodDo8efKEZ8NGcOrUKZw/fx5z5sxB48aN0ahRI6xcuRIFBQXYuXMnbGxsMHfu3H+k7u7cuTM6d+4MlUqFjRs3Ijs7G1qtlvrOEm/jBw8eiHb+EhKUq5LnetmS8wzwu7NIHWoqg4UILxo3bsyzIeJCrDaUwXCPk1r+3LlzdKNn6NChvFwTovgm4YymavaFCxfygtfu3LlTTdq+RvxrSdsZM2bg9u3b1DdGDAsWLOBJ0fPz8y0KQ6lG1UCr1eLKlSuIiYkxqcjiwt7eHk2aNEGnTp14nleFhYW4e/cudu7ciWfPniE/P/+FVagMw8De3h4eHh5wdHREamoq0tLSXqgAtqSN/02ERCKBk5MTfH19Ubt2beTm5uLx48fIyspCcXExdDodLbZjY2P/kWNMYR1xW+uJbMYavaUPKv4DAYhn7/Pnz3k72UJIpVJIpVLI5XIoFAre4szOzg729vZwcHCAo6MjnJycTFo8vC7Ex8cbJbj7+flh/PjxosclbEUTS30l4CttxYPIuFi5cqXJgB5zMEW0cX10dZx27Dlz5mDx4sV48OABWJaFn58fRo4ciZ07d0Kv11MvyBeBTCajixG1Wo2IiAiqkoyOjqZqVLE2t9eNrVu3GikxAGNVNWA4b8LWrQ8++IC2IRKVoFionIODA/Lz81Gq53ewaDkkbklJCTp16oSzZ89iy5Ytoq/DPdbLly8jMDAQfn5+Jj8fwzAoLikjbcvUAlIJC+iNF5GAsdesEAUFBZTwEypwSEgfQYsWLdCvXz/qIzZjxgyalkwgVH+RhTIJKPnll19o0AUB8eIUm69eZM4hKimpGXsEOysZrKFBMRTI1ytRQ2IgJIUEF9cqhTsukM+sE7FHAAzzsSUqUKVSSb0oL1y4gOPHj4s+b+3atVAoFJg7dy4UCgUWLFjA82n++++/jRTPYiABaFz0798frVq1En1+bm4uVq1aRR+b2swSA2lhbNiwIe9zkcW0lVRCr2Hutevq6kprobS0NNSsWROLFi3C119/Laree/fdd195zcowDBo2bGhkK6FWq3Hu3DncvHmzQvWrRqMRvR9JN5yvry8mTpzIm6POnTuHkydPgoUEqjLHag1kkKHydZWtrS0++OAD0esyKyuL17pOQBRfbyK4mymF+nLypwRS+Pv7043KlJQUREREvBarqH8CmZmZospJiUQCpVIJJycneHh4wNfXF/7+/qJhjgzDIC4ujo51EokEHTp0wJUrV+h5y8vLo/c0YNgs7tq1K1q1akWv2SNHjlChRYMGDTBixAgeOblo0SKsWbOGV0cBhs0ybvCUUqlEmzZt0LlzZ979QLxsTfl+E5DNVa4HuqmxVVM2Z7s62EKt0cIQjMifS8kGlNaMPYJY3WEKMplMdEN19+7d8PPzg52dnVlFrBjq1auHUaNG8WrXXbt24c6dOygoKMDixYuhVCp59/iHH36INWvWQK/Xi/r9AobvfenSpWjRogX69++PDz74ACzL4qeffkJmZiYeP36M8PBwyOVyOi9+8cUXvNcgIWuAgYT97LPPTH4OQv4RcO/b4cOHG5G25fYIhq4Na4WxPQJQXl+oOGOFDhI4OzsjJycHqamp2L17N8+//b333kNYWBjy8vIsntMBw4ajTqej15YpArlly5Z49OiRKLlZUlJCfbQJCIGtUqkQHh6OQYMGoXnz5hYdU1XDxsaG1i7Xr1/H3r17ARg617iEpRhat27Nu065Klvu+ETEF9yNIpJFIvT4JWsSQuqKZTOQe1YhsEcAxx7hzp07lLQVdhdwayfyXcTGxhp9BwzDYPLkybzQua1bt/K6Harx6vCvJG1nzpyJAwcOICoqSrT9gMDKyornFVKNVwfSBv/kyZMK1Q9yuRx169ZFhw4dUFRUhPj4eKSmpiI3N5e2sLwIyPctkUhQWlqKkpISo2NhWZa2eL0KMAxDQ7JcXFxQo0YNSKVSPH/+HE+fPkVeXt4/bnug1+uRk5ODnJwcsyns/yTU+jICgVMQ1K9fHyUlJSguLkZJSQlNktbpdC98Tolah/jYvUoQJQ9R8ZDr1draGjY2NrC3t+eRxM7OzlAqlWAYhte+S2AuJIf41xLY2NiY9UgT2iuwnKJQTGkLGEgxQjxYCpIQLwax9OKrV6+idevWlOzYtGkTJk+ejEaNGtGWaNKWRlSkLwqlUknVCPn5+diyZQslWE6ePImTJ09CIpFg4MCBr7WYVKlUJhUppkh4YWHZqVMnSkiRhYOrqytVgxC7AkJa6vV6Y6WtYKEQEhJCrU/EQDYXSPDSb7/9hgULFlDlDFFQE9jZ2SFJowXAUO82ohQQ89iLi4uDn58fkpKSRN8fMCxwW7RogZo1a2LIkCHUq7FLly44e/YsHTeuXbtGF8O2trYYPHiw0ZjCVT9xVatk4T158mRERkbizJkzRr8jm8umSEFLPUwtCSIDAEemBMWsAvmsFWow/HFNODYI23f37dsHQKC84pz/tWvXYv78+RYdL0H79u3Rvn17FBYWYt26dUYtfiRQz93dHe+//z5CQkJw6pQhCO/mzZvo0qWLSRssseBFwEAemCJsuW2Qcrkcn332mcWbcVw1zKhRo3jEDZmvrBUy+h1xCW/u5vX69esRGhoKhmHw5ZdfYuXKlUZ1yaZNm/6RllHAMB726NHDqAU7NTUVkZGRSExMtNg7/8mTJwgPD4eHhwdGjRpFfQMB/vnR6SWV8q4mRE1RURFVug0dOhRvvfUWfY6rqyu9Xg8fPkw34k6dOoVTp07BwcEBU6ZM+ccDRAF+2zJBEVs+Nmj0Mvzxxx90gezj40NJovT0dERERFRpGO7LQKiIrEro9XoalpeWlsYLITMHZ2dnBAQEoGbNmpgzZw4Vh8TGxuLUqVP03BUXF+Pw4cOinvF9+/ZF48aN6fdENprWrVtH50LStcCyLCIjIxEdHU0JRbVaTS1iCEiQtlQqtdgagusLbkppSyyNPFyckJmbD0AFVsIf50hNZs4eobL1tYeHB28MJ+CqUSuDESNGGNU5I0aMwIgRI+hmNjm/VlZW6Natm2j7OlC+AX/69Gm60UTmf9IKP2PGDLAsi7Vr1yI7O5sKdPz9/XnzBHc8CQgIqFCNLNbtAhjqc7GxlCilCVmrlInbIzx8+NBgU4PyECodGOTk5FBLsdu3b8PNzY1H9rdu3RrR0dFYsWKFRcKH7du3084ZYpsm1kkCGGwfGIbBhx9+SDuxSGigmFpcuPG0b98+7Nu3j2e10KhRo9cummnWrBmaNWsGrVaL3377jdbKXHh4eNAuJK6FlimVLVDetcQl0kn3iinlKtlgIZ1J3PtSrDYk9TOp3c1ZhGo0GnTo0AHnz5+npPCBAwdE1zre3t5o1qwZHXdJp9mb1JX4fxX/KtJWr9dj1qxZ+Pvvv3HmzBleW1o1Xg/y8/MRFRWFu3fvWuRjJpPJKIlKUFpaatLQ/2XwqsKp5HI5XF1dYWtrS8MnNBoNSktLjVKHieF4cXEx9UasRuWhIQUBR315//59DBgwwMhn52VAgkfy8/MpmU8CSIqKimjwSElJCQ1Je9GUab1eT0nikpKSl15ciaW/EsSW1oRa74u28ido1qypUUusEBEREbzHPHsEE0pboJx4sBSkJVoMYkEYFy5cQOvWrTF9+nSEh4cjNTWVFgfBwcEoKipCZGQktFotvv32W7Mqh8rAwcGBBmxlZGQgIiICBQUF0Ov1tJiUyWQYNWrUK02+5S4suKhVqxbeffdd0b/59ttveY8dHR2pfzHLslR5PX36dPqc3bt3AwDP75PcgwoJC42eMQqk4xaAYp53ZMNs6NChyMzMxNOnT7FkyRJK8tevX5+n5K9RowZK0nUAGCgVhtJESopOE2oOIWHbpUsX3mJ4//79sLW1RYMGDdC0aVNK2pKADvI5du3aRRe+xIpDiA0bNtAgM6Km5Rbo5P25pO1XX32FL774grackecL56mgoCDRzyeEJUFkAOBpy+BZAZCn56e0V0TYAuWKC34QWflzXsab3M7ODnPnzgVgIM3Onj3L+31GRgbCw8PRpEkTnj88sRPgQuiLCBhUavXq1UN4eDi0Wi1++ukn6rVLwCVHmzdvjkGDBlXqM5ANFGtrg/qJu9gm3QJ21lblSlvBopZ7jSYlJVH1+Zw5c7Bjxw6jmmHnzp28gJd/Gt7e3ryQFcBwXZHgMxLcJIb09HR8unILUnS+aC1PhlSix8zZHyFiqeF8mCIATIFci9wNoL///ht///036tWrhzFjxvCu7759+6Jv377IysrCxo0bUVxcjPz8fEomde3alUdqvE5kZ2fzyGzAoP6esabcoqUEUpOqRw8PD3pvZWVl4ffff7covPdVoaIaycbGBi4uLnBycoKVlRXy8vKQk5ODoqIilJSUvBLCNycnB1euXDHrkQqYJ5y5ZK6DGkwofQABAABJREFUgwM++ugjbNq0iRJyc+fOpWQwwzDo1q0bb3P9yZMnOHz4MI/AI9euTqdDWFgY7O3t0bVrVzRr1ox3/QrteioC2Xit6eaEEk0pgFzeWA6UE76mNuleFJ06dcKtW7eQkfEcqawD0lk75LA2sJVo0Fb+BEKxYKNGjXi2M0C5Bd2SJUt4NjoEUVFRRvdDSUkJL8wsODgYffr0oepZsgE/d+5cdOvWzWQrfN26dREcHIyjR4/S1yJBaA0bNkRmZiaeP38OwBAaVVFoprALhItp06YZEdwAoC37HogtglJB5hQGej3oObx586ZhTa4v77gi9bS7uzvGjh2Lbdu24cyZM3BxcUGTJk0AGMbD6OhosCyL5ORks10dkZGRdM3euXNnHD5uuH65m/mtW7dGcXFxeQ3Bsli9ejUYhsHMmTPh7OyMFi1aoEWLFtizZw8VDTk6OmLkyJG4cOECEhMTeWF2XKsFUqcSuLq6onHjxmjbti2vO/dVQCaTwcvLS5S0JQSssHPDlMqWhNAS73IhTG3ik/muc+fOAPibwERow/O0lfDrZ+HmS1BQELV7AQxCjPPnz9P3MbdZM3jwYNy+fZvWP7/88gsvILIarwb/KtJ2xowZ2LZtG/bu3Qt7e3s66Tk6OtICuhpVA5ZlERMTgytXrtCJ6UVgqRLjTUZpaanJHdJqGO4/QkacPHnS7PVCjNiF7ZZeXl68Nn5SbLKQwMbGhm4QHDhwAGfPnjXatXxRMAxDLRHc3d2r5DXNgey8FhQUICcnh5LERUVFNKFamGZbWej1wA2tF/SQ4PNhwejUUtzzmwvhBgx38SxUXLq4uPB8Kg8fPmxEXolBLLiEu9jm2SOUFSCEXGEYhnpwrV27lrYude3aFSqVirY6fv/99y9k2WAO7u7u9DWfPHmCbdu2oaSkBFqtlpJ7SqUSb7/9ttnOj8qA+KOSzS7uInLgwIFo0aKF6N9t2rTJiBDk3itEfSL0eCYKIa6PGSFpHRRAZkm56oPg+PHj6N69O06ePImtW7fyzjshLu3t7QEYwke++uor6PV6quoWHmedOnVQkvoMgBzWZaStTKI3aY8gBjHF1fbt2yGRSDBnzhzMmjULa9aswenTp2nh6+DgwCPAb9y4IZqe/uzZM3z11Vfo27cvLWq5HreAsU8tse8gqF3bEBIitHXq1auXRZ/PUqVtM38vXL+eh/wy0pYQoORYJBJJhV7QYkFkBE+ePKnQo7EihISEICQkRNSfW2yBu27dOrz//vu4ePEijh07xvvdxIkTedYbxGIhIyMD+/btw6BBg4x8BydPngxvb+9KHzepacTGGbI4crK3EVXaAuAt3n777TceGT169GicP38eJ06c4P3NoUOHkJeX91Lhj68SDMOgdevWRvcDyS/g3pfXSr2QrbdFCw8pvvpwAtLyyhfoYqRtt27dcOXKFbObnGJdMg8ePEB4eDisrKzw/vvv83y3XV1dadjc0aNHqU/gmTNncObMGdjb22Py5Mmi7favAmJq8VGjRuHSpUso0nOVtoYxWKPRmFXnu7q64sMPPwRg2JTaunWrKJmeqnOAg0QNe0bcS1EImUwGGxsbKlx4GZBaR4wEIbC2toa7uzvq1q2Lxo0bU7W9Wq1GfHw8zpw5Y7LT42VgKWGcn5/Py02pVasWYmNj4e/vD09PT1FCxtfXl27+AcA333xjZLVWUFCA/fv3000phmHQqFEj2j4vDJEVQqFQGIQlZdeLg42CBiPqBGM5qf20MK6/uEhNTa30eDl9+nS8/+X3OK6pz/t5I1k6HCX8+f/+/fvw8/NDSkoKHWNLS0tpl9XatWsxZswYNGjQgG7SW+JpnZ2dDYZhMGPGDKSnp1PbhuXLl1N1rFgr/KNHjygh3LZtW3Tv3h2rV69GQUEBJd0Ay211hAFkXNjZ2YluJJDamyhtCXmrhwQSqQxgDeeJdLhy7RG0Zd/z6dOn0a1bN/Tt2xeHDx/GX3/9BWdnZ1qrDh48GHv37sWmTZtMCjDIvQYA48aNw99//43SMoKYO2ZHR0dj3rx5GDRoEL777jt6XYuRt0OGDEGrVq2wceNG5OXl4ZdffqFBqATr1q0zu/bOysoyUq0Dhg0hf39/dOjQoVJB5eZQWFhIVdVccDeXz549i7Nnz8LR0RHvvvuuSZUtsWLhKrPJa5OamYCM2+SeBsotFbiewTqR2pCStiJh0gAwZMgQHmkbHR0NR0dH5OXlQSqVQqfT4fr162jWrJno3y9YsIDWlGlpadVq29eAfxVpS1LDuW0hALB582a88847r/+A/uXQ6/WQSCRITk7G6dOn8fjx43+8db8arx8SiQTW1tZwcnKCq6srMjMzjdrlufD09ET79u0RGxuLpKQk5OXlGfmsEri7uyMkJASenp5Yv349VCoVj7AlBNRXX33F+zuyONFDgpKSEh5RmJeXh7CwsEp5EL4pYBiGhpkIj/3Ro0c8Y3jAoGp69913RSdClUqFrVu3GhU1OjBUkWfjUvH5EVPucFWvpYIJXxgsFB0dbVFgl5CIAIA2bdrg1KlTcHJygu6Z6fY8wODdGh4eThURpF2uX79+KC4uxu3bt1FQUIA1a9bQIryq4evrS9W89+7dw65du6DT6aBWq6lCw8HBARMmTHjhECGuRxoBWUSaS5U/duyYUZsk1xJDrVZTEpw7X5oa80mh52wtRWaJ3kjteu/ePQwfPhwnT5402oQhRTQ3FfeLL77gEZhClWyjRo1QcsZAelpbGRYfUmqPYFkhmJeXJxpAptfrsWLFCjg5OdFNoM2bN/OOj6BJkyaipC15HW7wzLp16zBy5EhKJvz555/0d6Ghofjuu+94qhECbpAbAFGVCFkIcAl7skCSmQkiA4D2Tfzx6/VryGMN9lDW1tb0nMhkMpNWIiSQT6FQQKcuP+dCMu3XX3+tdACgKTg6OmLBggUADEoy4bkBAFZvIM2FwbJTpkyBl5eX0fMVCgVtC42NjYVGo6GLE6lUioULF77Q4oLrSSiTyXgLHqD8OnW0s6XeckIC5NChQ3ShDBhUN1w/2Q4dOsDLy4sG3RGcP38e+fn5GDZsWKWP+59CSkqK0UaKpmzZ0aW7YaNCozVu8eTi9OnT8PLywty5c0U93StCSUkJ3azq27evEbHcu3dv9O7dGzk5OdiwYQOKi4tRUFCAFStWGI6zSxejNUdVgttiTdChQwc0bNgQf/75J4r0/uWfpcw2atu2bRaveRwcHDBjxgwAhpohIiICaWlpyGOtcExTH26SQgxUWtYRptVqzbbYVjWKi4tpGJWpIDNra2vUqFEDDMOYtcpxcnJCv379IJfLkZKSgmfPniErKwsFBQUoLi6ukrVPcnIykpOTRVWTXEgkEtja2sLBwYESW9yuhzt37uDkyZN0855lWZ7f6alTp3Dz5k2Tm30ymcxA2paRfrYKGRztDAGY3LmU+5nN2SMAhvpCbL6sCGTTwU5SAo1eCg1kopZbWq1W9PvLysqiNijbt29HgwYNTHZpBgYGYuTIkQCAH3/8EVlZWVQd26hRI4wcORKhoaHYt28fYmNjkZCQgLCwMEyYMAF16tShrfA5OTk8e4VLly7h0qVLohY9P//8M5o1a4bBgwebPAfmxEukC07sOWTusCH2CPLy82Zla4+SAsP1Qe5JlZ5vjwAY1MjdunVD69atkZmZiStXrmDjxo2YM2cOHB0d0axZMzoXXb161chSKDMzk465vXr1gr+/P4qKikx62i5btgyhoaFYuHChUS0rJG99fHywaNEifPPNN9DpdFixYgXPa/z9999Hamoqzz+1W7du6Ny5M1iWxc2bNxETE4O0tDQega9SqXDr1i2jzV+ZTEatFho2bFipGkDM2qNOnTpITEwEYNgE3rJlCzQaDfLy8uj8AfA3almWpfUc11eWbEST65fg5MmTAAw+2uTzkOPmrtPJ3Mn1tJWX/dNUp5rQciQyMhKzZ8/G0qVL6fncv3+/SdKWYRhMnTqV+lOvWrXKKKSvGlWLfxVp+6anpf6bMP7LH3FF44UeVglGnndvAiz1wyJeQBXt+pMAnv8VSKVS2Nraws3NDd7e3vD394ePjw/1rCTIzMzEvn37kJycDJVKJZpo7uvrC1tbWzx48ABarRbPnj0T3TW2t7dH27Zt0bZtWzqpnD9/3miR5ejoiKlTp9IUdeFCHAAgtwJ0holIp9Nh1qxZ+P7773lkzM8//4zGjRvzPIH+jeD6KxK0a9dOtCAXhmWJgauYOHTyLFpONr/IF1sEc5V1wrZ4wBC+9Mcff9DHy5cvN+uZa4oEIwRN27ZtsWlPOeHIVfkRgpZhGFqwr1y5Ep988gl9zvDhw1FYWIikpCRkZ2dTVd6rRGBgIA2liImJwcGDB6HX65Gfn08T7N3c3DBx4kSL/RLXr19PCzFusIatrS3v8woRFxdHW/AJhg8fTu8xADSYjLTGEZD2P2JbQJRPpCh3d1DiQW6xUeEnXGQQf2Puz7nqNlKok3MjVHc7OzujVGcYo22VBrJRJjHMAVoT7Zre3t5G98Lo0aN5RT5g2By4fPkyT5X15MkTUcWaMCCFqDjFyPRnz57RlmbunEU8wT799FNs3ryZKiJIqJYlxAcZi8nr6vXlNgWyChYbdWsY1Br5eiX0etBxUyKRmPV+Jvdp3759se6vk/TnQjLtVdViQ4cOxdChQ3mKKLVeir/VjeElzUcXRSIkEgmmTZtmZMchhLu7O4YNG4a//vqLkqtBQUEvlXRM7o333nsPgPFGFGkVdbK3oW2KwnOn0+l4C+U///zTSOFUp04dfPTRR7yFH2BQIBcWFmLChAkv/BleB/Ly8oyCEAmI3Y4hGAko4ZG24tf106dPERYWhkWLFiE0NBQsy+Lvv/82Cu6pCKS1vVatWnjnnXd4i3ZnZ2eqvj127BgdT4mSy87ODlOmTKlS9a2Ykqx27do8RTU3iIyMycQXvLKwsbHB1KlTwbIspv+/lQD44UX/RhQXF4um1AuRm5srantDQFqVWZalawWZTAYXFxeo1Wo6ZltZWUEmk0GlUr3wOKjX61FYWMhTj1cUcCREZmamyc9DCBdyr9kpZbBRGr5nLeeQydzJ6gG9mSAyABadY9FjKXtdF4kKeVBCo5dBq2fwwQcfoEaNGjhz5gwuXLhgVjXLteQRI2zffvttBAQE8H42c+ZMaLVarFmzBvn5+YiLi0NYWBi1xOnTpw++++476HQ6bNmyBTY2Npg7dy4lFgGDh23Hjh0RERFBA5oJunbtiujoaKhUKly/fh3Xr19HixYtMHDgQKPjI6FT3K5BgqZNm4p+ZqlUSmsuQtbKpQwkYKEHAwcXNzwvKO/I0+vFSVsu+vXrh+zsbDx8+BArV67EggULoFAoKPF28OBBHmmr0Wiwdu1aAIa6kdeJZcbT9sCBAxgwYADq1auH0NBQ/PHHH7h//z79vZC8/eKLL+iG7alTpxATE0PVqd7e3ggNDaV11OnTp3HmzBl89tlnlGQXIiUlBRcvXuR5HQOGmpVsAglhzmqBCAaFIIRt37594e3tTTefDx06xFNOh4WFQalU4r333qPWHUIrCnL9C39ONtK7d+9uREJzuyeo0lZW/n1YyxhAI76GI+Bek2q12uizV8Sb1KxZEy1atMC1a9fwPK8IGk0pFAq52b+pxovjX0XaVqPq8ETrADXkSNPZv5GkraXFkCW+ukDljfTfRCgUCjg4OMDd3R2+vr4ICAiAs7NzpXYLnzx5ggMHDpi0MJBIJKhRowZVH5C/ETuWJk2aoEePHkaDvEajwfr163l+O4DB70fY1iVK2AIoYY0XvB9//LGRcu327du4ffs2LT7+LWBZFhEREXTSJxg9ejQCAwN5P9NoNNi2bZtooVG/fn1eMeTs7IyU7PKFwP0nphXTBMLWPMC0PUJAQAASEhKMSGaVSmXSE4tlWdHAOxcXF1p0BAcHQ7ennHzjFpyRkZHUa3XMmDEICwujVhJcUnLixImU9Hz27Bl+++03TJw4scLPXxVo2bIl9VrmhlFlZmbSHfpatWph3LhxotepMMmeW0i1bt3arP1EVlYWL/kaAG0nJcjPz6d2BEKlHlF5kaAtoowjCz5vFzvgSbFJb+M+ffrgyJEjiIiIwLx58yiZL+Y5X5HNTKnOMO7b2RhIWzmjB3SmlbapqakYM2YMb+PhwIEDRs/LzMzEokWLsGHDBt4xLFu2zIjEJP5kBKTtvl69etQOAgCmTp2Kmzdv4vLly2WkavmcpdfrsXLlSgwbNow3Xt28edPonjcFopomBDB3RpRXoLT1dbGBBHpoIUUx5LCB8T0uBtJmbmtrK+oxzcW5c+fQsWNHi163svDw8KBE5rQvl0MNORJ1zmivfwwrBhUStoBhTBJuLg4YMOCFj4mrhiStpcLWbEpQONjR74g7lhJS6OnTp5gwYQJV05LAPC4cHBywaNEiIzInMTERa9euperJNwksy2LNmjVmW9bJfFKgMiymuUpbYeu2m5sbb2EaHh6OqVOnombNmhg+fDiGDx9OW2sr4xGfnJyM8PBwSCQSTJgwgWetARgUZb169UJubi42bNgAlUqFwsJCSqKL1TKVxddff21EVFlbW1MFLRmH+PYI5Us2sQW2pfjuu++gg2GMJdcs6QJ6U4LMXje4ZC2BVqtFRkYG72evKjujKkGOj9xrdlaycuU/Z1wnhJBR8BgYsHqgAuv0CnHp0iW6kSWTsJDpWXpc69atw5dffkltcgDDmL1nzx4ayESQwdrigqY2WsuT4SXld9EAwO+//07/TdYwzZo1Q3BwMD766CNoNBqsWrUKKpUKsbGxiI2NRdu2bfHFF19QOySVSsUba+3t7TFu3DgABmKVBJUSkBqPKxwigWbCmo1sxAvXq4Ro5m50kznCs6YXdA8M586ao7CVgUUpGHh4+eD54/LzpIEUOk6tzu3wyMzMpH7A48aNw5o1a5CdnY0lS5Zg0aJFqFmzJm2HJ3ZCLMtiyZIlAMo3QMlrAeVEIPd93N3dkZGRgZiYGISEhND6/D//+Q/UajWWLVvGD8/ikLezZs1CcHAwtUsICwvj2SVMmjQJGRkZ+Omnn6DX67FkyRK0b98ePXv2hBA+Pj5GilXAYHFw6dIlxMXFGVnQmbJaIL7KQnA9mIXdG1xylXR+qdVqSoCT74GArMclQqNngGcVIgTpnNNzNl24SlsbKxmgMg4R5mLQoEFGwh2y2c39PEKxBxcDBw7Emat38HdJEC6HbcPJxa9n3fW/iGrS9n8UZDI3lQxfjVcPYkvg7OyMmjVrok6dOqhbt26VGqrHxcXh2LFjRqnUBAzDQC6X0yJPr9cbFakSiQT+/v7o3bu3URAAF2K+bFZWVpgyZYpRq7gwEIeL9u3b48gZw442afO/cuUKgoOD8emnn4p6gC1ZssSs1+ebApVKhZ9++om3MCKtvE5OTvRnWq0W27dvx8OHD41eo3Hjxhg6dCiOHj3KIxLIbrlWb0V/VsyaH+JJcSEsTEwFkRFS59mzZ5g4cSINZAJg0hOLqAxIUUgwYcIEqsZiGIZXWHAX7zExMbyALLKru3LlSixcuJD3XlOnTqUFaVJSEnbu3ClavL1KdOnSBV26dAHLsjhy5AjdcU9OTqZFcP369TFq1ChIpVIcPHgQV69eBVCuqiTFfUW+m1qtlipXyXcokUhoujgBIYTNkWzk+iMtimRu8K3hBOA5tCJzRWZmJtq0aYMjR47QYyZ2G8KwIqDcNsHZ2VnUt5nwN/Y2Bv89hVQClJr3tBVuKj179swoYOHhw4dgGAbvv/8+1Go1/vvf/0Kn00Gr1SIsLAwzZ86Eq6ur0fglDCXitm+uX78e8+bNQ+/evQEYWpa5i828vDxs3ryZPvb398fDhw+NrBtMbboRcllojQAA0gpW0woZAztJCQr0SuSxSthIS3mvJQZut8rdu3dNBpERnDx58pWRtvR9WZYehx4MnrO28JIUVGiPExsbi3379gEw3FOenp5IS0vD0qVLRcPXLAEJHxIu0LggyigHW2tOEFn5ezVu3Bg3b97Ejh07eG2E+/fvF527GIZBaGgoli5dylMMZWZmYtmyZWa7G143SMuxGIgfuU4voddSXqFhLinRls8JQtVWZmYmZsyYwVvsrl+/Hp07d6bhTo6OjjSAi/u9WwK9Xs+bw1q0aIG+ffvStlEnJyd6jk+cOEF92Yl3oa2tLaZMmQJHR0eL31Oj0dB5AOBv0BGlLwDs2rULpXoGJZxE+BLOGPz7779TxXdlcObMGZSUlECHMo/TsnPOsiwNM2NZln5GS3xD3zQolUp4eXkhICAAtWvXhkKhQFxcHB49eoSMjAxRyxpLwDAMJBIJPScuLi5gGAalpaXQarU0aJaE1f6T3aEqvZzO2Q5KOazkhGQrv8eI0lasfZoFAwYvJ3Y5evQodDB08EjBQiZhAb2BRNLr9cjJyeF149jY2PDqhqdPn+Kvv/7C5TQb5OhtkKRzFiVtuSBrmGPHjhl5nzs7OyM/Px86nY5aHnTu3BmhoaH46aefeGsfEqq0evVqWquQIOTMzExs2rQJxcXFPCKWEK7R0dGIjo5Gu3btaP0m1j36n//8B0A5AQyUC4y69eiFrx8YxA42ivI6XgY9SgF41fLDbU5zVbGer27UQUL9STds2EBVoAAwa9Ysuo4KDw9HaGgoPv74YyxbtgyxsbEYMGAAXZ/J5XJemOehQ4fA6iWUIOauFTIyMtCkSRPcunWL2iQQKJVKLFq0CLdu3TLaTGVZFqtWraLk7Y8//kjtErp3707rDHd3d4SGhuL3339HQkICLly4gAsXLmD+/PkWrZvt7OzQo0cPI294c1YLYmQpAErY9u/fn+flSnJLAPBI5wsXLuD48eP075csWQKpVIoJEybQOUsYZMYFsVzh1i7k2uPOm3JOEJmDrRLI4d/fws2+Bg0a8N7nxo0baNq0Ke872rt3r0nSVqvVYsmSJcjWO4AFgwzWjmdfV42qRfVZ/R8FIWJKOZeATCbDggULcPDgQcTGxlZYcMhkMkgkEpODWjXMg5AzKpUKqamplLipDCQSCRiGgVQqBcMYCiGNRmNxsciyrJFqwMPDA927d0e9evUs+vstW7YYqUAJsSi2ODZH2AJAz549Mf+UwRuStOmfOXOGpmcvXLgQ4eHhtLipVasWkpOTsX//fpw9exazZ8+u8LhfN548eYJff/2V9714enrivffeo5Mby7LYuXOnUXo4YJhYR4wYQZ+7bNkyXrG4aNEiGqbCJQmKKxjiSTu0v78/7325JA2XrON6KIkR+Pv37+e1h2m1WrowEC7+hAtdbvHH+wyCBdbAgQNx7do1lJaWIi8vz+h1Zs2aheXLl6OwsBBxcXG0Vet1g2EY9OvXD/369QPLsti9ezct9O7fv4+vv/6a93xC6gGG+/qLL76okFxavHgxAL6VArFsIEhPT6f3Cpf8Bsq/T+77kAUKaX/zdCr3whOqb44dO4axY8fSBQk3/VmsaCOKgunTp9Nj54K0bpLQFKuyAtSUJxdgKIY9PT15CtpBgwYZ+Y0SNaNSqcQXX3yBI0eO4PLlywCAH374QbR1UehlSb6fmjVrIi0tDcuWLaMkIJewDQ0NxeXLl3Hy5Ek6Pwo3YFg9UAIZ6nl5in4u0qkgRtpWFEQGAPZlpG2hhe3P3LEgJSXFbBDZ68KKFSt46qF01p4u2n/++We4urpi+vTpvOuXazFCgmYAwyJJo9Hg66+/rrQfL9fOgiioiJqUXPtcH2BrRbmyjfu9ke+UvB7x3QXMK5fnz5+PTZs28TyrVSoVFi9ebNbu4nUgLi7OSOnPxahRo6jXM1ckkF9oGNdLKvC0Xbt2LUJDQ3mbtVFRUbhz5w5mzpzJe27z5s3RvHlzsCyLP/74gyoJTUF4zxOlHGAgK7p06YJ27dqBYRi62CckCAkPJRuPHTp0qDAojmv7IZVK4evrS5X3ixYt4j03MzMTRXpBFxNHaWsuwMsUCgsL6cYZuae1nCT6hw8f4tKlS2jbti3dfAQMC/29e/eK1iZvItRqNS9IqqogVOIK/f0Bwya8h4cH/Pz8EBQUhJo1axrN499++y1KSkrM2rYpFAr6PezYsYN2VLVs2RJ3796tsMvwrtbQjeDOFMLZViE6HpH5mGyYM2Bp7aeDhFaPJAQpISHByIbAFIhCkFgbKaQSyMruda3EMA6sXbvWqF7hwsvLCzNnzsSfCyMAvLzISGyjOCoqClFRUZDL+aSn0MN0+vTptMPDzc2NbrCcPn0aUVFRAIyvD65llZOTE+/9rays6HVB6hAuHF3Lu0msOESctIz4trLlB1apJfyxQgsGkydPxvLly0XtAxcuXEg7Hb/55hssXLiQbqZzazOhMCIxMZH3PQjH7LZt21IxyN69e428fps0aYImTZrwbKPoa5V1ajAMg8DAQNy7dw8nT57E1atXeWFeb7/9Ns93eOnSpWjZsuUL1/kMw4haLYh1Qwhx8OBBHDx4UPR33K669u3b4/Tp09BqtbCzs0NhYSF0Oh1vY19I2pKaXiKR0LmMK+Ig3yv3O+Aqbd2c7IEUNS+ILCoqymzw7YkTJ9C0aVP4+flRkYKpc3Dp0iVqr0bWCyV6GZYvX4758+ebfI9qvDiqSdv/URBvLI2ewfDhw7F7926aLr1o0SIe8XLv3j0cOHDAKKHXnLn6/yVYWVlRW4LatWsjICAA9vb2YFmW+lIVFBSgsLCQkrDFxcVQq9U0Zbe0tJS3Gy/WivUi0Ov1dGe/qpCenm7W+8scGIaBTCbDo0ePsGrVKigUCsjlciiVSiiVSigUCtFW+WzWGgro0LKhoaWaFAVkMhIWqIsWLaIFR3JyMsaNG4eIiAjk5uYiLCwM06ZNg7u7+wt9hqqEWNI5t7ggZJ6YN5+/vz/GjBnDI7+EKh0vLy9MmTIFAOguLpfwVOvND/HkGhQSSnylLb9QJkrX33//nZ53gmvXrvGUSkTh6eTkhNzcXKq29fDwoN5kJC2V345tnpTq1KkTzp49i9WrVxstdgFDYBdZGMXExMDW1pYqs/4JMAxDFb+m7EPId+Dn52eRrQMprCUSCS3upk6darRAJCRBv379jF6DKEu5ilJyTZB70N2+XLmtE6hvyDEPGDAA+/fvp+SNOcUAAJq+XKKX4mhJfdSRGha/JPHY1rosQKvMG6ui60E4li5btsxI2SJUM/bp04e3WBKOMb6+vrzH3O9r6tSp1KqFKFUISFhJmzZtEBQUhOXLl0MikaBOnTo8EuFCqR8SdK74ubGf6Gciilwx0lZmQd+qkmEBtnyurwjkOxkxYgSWL18OnZ4TngGJKKm9bds2UUV1VUCr1aKwsBAsnOjPnrF8b+isrCyEh4dj4MCBaNy4MW9sJEnjBAsWLEBYWBj0ej1WrVpVqc09Mo5xN4iIDYebmxueP38OHx8faOMM34tSLqVKWz0kkMrk0GlLeZ7xKpUK7u7udEysSLn87rvv8rxWyTkiXq+vO7U5Pz/fyHNXiHnz5vGC+7hdG4XFhjGrItIWMPj+Lly4EKtWraJkeVZWFsLCwvD5558bbRAxDEPJ+oyMDGzevJmnVCYg17OjoyNUKhVPgFBaWooTJ05Q32I7Ozv0798fgYGB1F/81KlTOHv2LACDf//58+dhY2ODKVOm8DpnAMPcuH//fgCGjfEGDRpQsmfu3Lmi3x+xRrBGKYohRymkvI2zylokECLK0dERuizyfhKwkEBaZsBy9OhR+Pj4UAsQwLApOHr0aPqY5BqYstn6X4ZGo0FaWhrS0tKMfOaFCA4ORlBQELy9vfHgwQMcPXqUEnsajYYSilzExMRUeAxaPYN4raH+nT/Y4FFqJTcOjiJzDPmZHDpoYOhqMPzMsK6wsrKCRqPBqVOnLCZtiYKdvLaNlRyqMs/60rJ5XqfTobCwsELPf+K7bMqiiQuZTAaFQmGxdR6BOfHR4MGDTVrydOvWDd26dYNKpcLGjRtFiXzAmDDmZi6IraWLNYZzL4MODGe+l5XVX+pS/prPxq0mwNnH0ekZ3sYOVw1KQOx3SktLsXr1asycOZMniBGrrYHyoGjAuDbbsmUL5s6di+XLl+P69evo3r276Pc7adIkFBYW8shx0i3Gsizu3btHNzXE7BKcnZ0RGhqKXbt24c6dO4iJiUFMTIzZsN7K4NSpU6LramIHBhg26sSsFgiWLl0q+vPx48fD3d3dSHVMavoRI0YgKCiIbrD5+vpSYZSw+wvgfwfcDX0vdzcAKTzRQ1xcnBFpW69ePSo6IF2g48eP54mrbt++TS3XWJbF0qVLKWns4+ODuCTDvzWQoaj4zbaP+TejmrT9HwUhYjR6KRo3bowaNWrQxX14eDiv3SAwMBCBgYHIzs7GyZMnER8f/69smeLC1taWZ0tQp06dF7IlcHJygoODA1iWhVarhVarRUlJCUpLS3lkLXms1WopeSv8N7e9ikvucn8mXFi8aWBZFhqNpsJgOC7Uehn2lTSEvUSDZWMMoWIaMyb3BKGhoZS4/f3337Fo0SJ8++23KC0txU8//YS33noLQ4cOfYlP82JgWRZ//vmnUWDCsGHD0KRJE7Asa7KVtHbt2hg7dqyo76kwCGnw4MF0Z5hLBnFtBtR6ObKzs0VTb8mCwtbW1mhDxlwQWf/+/XHt2jU8e/YM/v7lydY1atTA8+fP8d///hefffYZL2iDLLTJuDFhwgRs3boVANCqVSuwrJ6n7hV6Gwr9a0NCQnD27FmwLIv09HTRNunPPvsMixcvhlarRVRUFGxtbc22Nr8u/PTTT/R8EA8wLpKSkhAWFiaadE6wbt06WugTUq99+/Y0TIyAS8YTpToXZIEhRhaRBZKLrQIGR1UJSiGFnEPakuK+RYsWlJAAIOr3yCVWiZotnbVDlt4WWh2/dZOoBextrIBs4+tBCOE51Gq1qF27tlEHgLAd84MPPqDznhANGzbkPSY2H0St/Omnn9Lxh1vccoOuCGEVGBhIPYPJNfmUtYceEvx14gJ6tyn3HyYQKsz1nLGwInsEAHC0sQLyy+d6osbOyMgwu6GlVCqh1WoF9ggSUVJJ6D1Ylfj+++8B8L/756wddHoJpGUBdTKZDFqtFvv37+ddf2JEHvn54sWLkZubix07dvCIKHMg1+6HH35If0buLTIfN2/eHLo4w5ivlDO8xZNrDXdkpKVCr9fT9tEdO3Zg0qRJmDNnDl24Hjt2zKwKplevXvDx8TFStpLN9tdB3LIsi7Vr15okJwCDgnXevHnQarU8xTtXoVWkLlvkWRBERpSFs2fPxq+//sq7rxcvXkzDAsXg7u5OVT/nzp2jntRccO2jSOeOEIWFhdixYwfvdYcMGYKQkBDk5+djw4YNdOOekPzEc5GE7ACG+S4gIID6CE6aNMmIZLhw4YLhHJWRVW7yEiSXGjawNJBBCcPYv2XLFtrGXRHI+EU+rw7lnTJaMJCivKbfuHGj2ZZjT09PTJ8+nT6+fv06jh49KkqMm4KlYcOm8H8hXPjy5cuiKktLYeocJuhcUAIZ7CQlGBJcF0D5nModT8nfElJHKtFDqtdDi7I6suyppD7kdlpVBEIYEmsjZ3tb5KkLAB2g1UvRtm1bXLp0CWvWrOG17guhUqnofSBm0SS09iJrKcCw0TJ27FjUrFkT2dnZuHr1Ku7fv4/s7OxKXXt79+6lwZGAYXyrX78+OnToQDvObGxsMGvWLACW2bRw6xACbsdQcRkpKxVYVBCLCSFpm5FfAsCWPtbBoM4k90lERIRRgCXDMFiwYAGWLFmCnJwcXq6CQqEwmk+EG/qAcW1WUlICOzs7NG/eHLGxsVi+fLmobRpg+H5CQ0Nx5coVHDp0iH6PZAwW3t8rVqxAjx490KFDB/qzESNGoFevXnQDcfny5S8dUK1SqehmHFB+n/n5+VHCduzYsahXrx6vu4IIRQADkSm0WiAQCzbj3su7du3Crl27qMdtSEgIVeRy11wEpFaTQM+rDb09jElboT0XYFibCglm0sFLjn/Pnj1o3Lgx9YAmeO+995CWloYDieXr2RLIsGnTJrz77rtG71WNl0M1afs/CjLoEhUO8bJavnw5WL0EM775Ge5SFZQWBpj820Ba21JSUngpj9V4/SjSy6EHg3y9FXSsHozEWGkLQLQ1i+wU6/V6fPPNN/jiiy+o+uXmzZu4efOmyQV8VUOtVuPnn3/mLQBlMhnef/99uLi44OjRo0ZeToCh3WXcuHFmNw22b9/OI4HnzZvHIzEJAQrwVbLFehkiIyNFyWuiAB4/frwRccXduWXBQKeXwNnRHvn5+bzjUKlUGDt2LLZt20ZVNyUlJUhKSqIKXNLmxIWNjQ0tTtu3bw+Njl+ckfcnRcOJEycwaNAg3nPIjvfPP/9ssij8/PPP8dVXX0Gv1+Pw4cOwsbHhBXS9TnBbYwFDmzXxyQQM/rW7du2ihC5JOmcYBsOGDUNQUBAAg8KPnDtSkNvb24sGMpDvQIyc4hbEYmQPuQftlTLIwEILKW8hJwQpOk0RR0Rh7+zsTC0zCKFI/k9JW1m5NyhQYtYewRTEgvvWrVuHzz77jD728PDgWUtwcfToURw9epQGHxHlDpfgJuMP91xyiXNy3ROVc2JioiG0RM+gqMx7mpBXQgiLfTIWMmBFAyuEcLItI23Lvkdvb2/a/iy8l8hxcscg/hggMekD+Sr8y0i3ivA4dGCQydrCQ1pI31sYVvXWW2+ZPB6ZTIbZs2dj1apVuHfvHi5cuID27dubPRbiGU2siIQg92ujRo2g1RtIbK7SFgBcanggI81wzQ8ZMgS3bt2iraF2dnawtrZGcXExLl68aJa0Je8j9HkFDMTtqw7k5PpvmwJJZweMW4y5XRvFJYbaUq0pV5mRzUIHBweeJQUA6pH4zjvvYO/evTQwETCo+oKDg0W7Cbjo2LEjOnbsiNLSUmzZskXUYoAQtmK+29yFdUZGBtavX09/V7duXbz//vu4cuUKVUcSz0WC4cOHw9vbm7b19u7d20jRD4AGfRJrE087GdJydNBCihK9FEqJ4ZxZSqI9fPjw/7P33mFSVNv68FvVcXpmejIDQ85JRUGCIFEFAY85oKIcRDAHVERE7F87InoU9ZhFj4o5i4IgQUVERQmCZJAgOU3u6ZlOVd8fVWvX3lXVPTPovd+9V9bz+Mik7uqqvdde613vehf7XFS4EOWIrP6kIfrPfGuxoihYuHAhVq5cmRIY43+Wn5+PwYMHY/369di5c2e9iv71BWx9Ph8KCwtRXl7O9Ez/q+3PAtL1Nbv3UFVgU1wrYo/uWcRAHKZpa3OWkgSNEwoSkBCHQ5THaSA4zre909mdl+3HofIQENO+N2zYMKxYsQLRaDQlY/yLefNRo+svx1QHevXqJcxyiMViQhfISSedxDrXQqEQ26NpaWm48sorBf+6Z88eBoadcsop2Lp1a72GzIXDYaxdu1bwQYAGdLZr1w5nnnmmQCqxs2AwiGHDhuH0009n3xsyZAgjZjCmrWQGbbVnHo6I7NySsPa1Q1KRUCUkIGP//v246KKL8MknnyQdgOp2uzFx4kQ89dRTgs+NRqMoKSkR5pEsX74cAJCZkw/oalR2hbaffvoJ559/PiOmfPrpp5YBuLz17NkTPXv2xEsvvYTDhw8zX9WjRw8Ls3zJkiVYuXKlIJfg9/sRCAQYGYYGVN9xxx2Wjof62OOPP87+ze9l2gdut9siH0iELUDUsiWjtdChQwfs2bPHEnPa72Xte6+//jpCigsuyX4fUtxs1qBO92qFPp6hbreXzXtv69at6NixI8aNG8f2TyKRwBNPPMEKOAUFBaxw99prryEGQ7ahVnXaFj5P2J+3/95+qhP2P8LKKyoYe44PojMyMjB16lTsTOTi62h7fFbTBXsT9R+wcML+5xglmE6nEx6PB+np6cjKykJeXh4aN26M5s2bo23btujSpQtOO+009O3bF2eddRbOO+88XHbZZRgzZowQTPxXmqG3I6GyJoZI3NDV4tllPMBFJssya+FJJBKYMWMGhgwZwgaTABoTxxxc/ZV28OBBFBcX47HHHmOAbV5eHqZOnYo+ffrg+eefR3FxsRBoNm7cGJMmTUIgEMD111+fErCdPn06A0rdbjcCgYAA2JondQui86qLaaElM2r7Tk/XqvSyLFsYzjHIjPW5dOlS1mb+1ltvCcELVcBnz57NkiO69qKiIgDWtnOn04lwRCwOUWJBr2EnH9G7d2/2b35AlNkefPBBBnJ98sknf7nOXX3sww8/ZICt2+1Gv3792HrOzMxEIBBA06ZNcccddyAQCGDChAnsGSuKgo8//hjBYBAPP/wwC2JbtGjBArC77rrL8p78mu/UqZPl58Q4s2NdqqrBakn3OOHSWVh24KkZ+EiW5FPAT6AJYC0eUqJIgFdWhqGnW19zOJLLAUQiEUvQyvsKMn6Q26xZs5j+sBkQI6ZKMqOgOyMjA0uWLMGbb74JAKhQ09jvJCDVq5VTYYF5/cCAnAztPahrgdh8djqfxAriZZESJqZtMrCDQM2/0vi2e7MvOqRkCEMxCLAlsPy3335DMBhMCmhlZ2czSYfFixen9B2A4R95/VS7xEeWZbZOvS6HIGHBs5HM07MBcf/aFfbMlp+fb7vuZsyYIQy5/Kts69atCAaDdQK2o0ePZoDt/v37LYkp37VRo4O1VWGjGEBrzq4ABRg+64ILLrDI3axcuZKxs+syl8uFcePGIRAIYOzYsbYgPw/Ykt4ln1ifdNJJgq/ZuXMnZs6ciWXLlkGSJFZk4+2TTz5hgG3Xrl3Rp08f2+sjpiAxDNs2yYVHB2rNcid1+Q5i2QGa1jcbmCMM/rT3r2bd9fqYLMsYPnw4HnzwQQQCAUycODEpC5rs2LFjTM9fkiThbAe0eOp4B/SGw2Hs2rULZWVlUBRFeNajRo1CIBDALbfcclyvncySgan/HdrgBxQ/KtQ0uBHHrSONGJ4xbW0AepdXO2edUFgXQ0POXLOJJAI6y9OQrg/UojiCgP5nn3026Wut2mScVzHI8Pl87Bym/4fDYbZHN2zYwIaLDRs2jMV+NTU1eO211xAMBvHYY49h06ZNDLDt168fdu/ezUA3u86j+hQmo9EoNm3ahFmzZqUEbMkWLlwo6MdS8VSWZYSZPIJ41rj051MRqtF08fXzvVrRPn+Bz5gDUFZWVi+SgrnTjmJ689lOczNOOs1YV3briQghNMRx/fr1liKcnd14442CbNHq1auRm5treR4kl2B+zfPPP18Yzvnvf/8b7733Xp3vy9t//vMf4Wvay6NHj2bFCLsBoE888QQALfc2A7Z8V8qVV16JyZMnIxAICGSTvn372rKvAe0Zfxo5GV9FOtr+nGIkhyk29OmSKHYMdbN5PIYMGuUm5s49WiejR48WOi1UVRUkM0iWjx+wd8L+GjvBtP0b2pp1G0F0KXMA6HQ6EfdkAjGgFi4sibbHqc4DOM11wOaVTpidOZ1OeL1eZGVloVGjRsjOzkZaWhp8Ph98Ph/S09ORkZGBQ4cOYcGCBQJLqD6WlZWFfv36oUePHn+qHZICjK1bt7Kp5n81O4BvYUvGPuATudJwFH7FGAjAJ+zJ2jEJuC0uLkY0GmVTtQOBAP7zn/9g3759+Pzzz7Fs2TKhvfXP2qpVqywC9CeffDLy8/Px7bffWgYt5efn45prrrEc6MksHA4LFd9TTz3VIuoPAC+88ILwNZ+A1cKJmhori5CCqtzcXKbZ16ZNG6xfvx65ublQ9ptAW9WBxo21gUlHjhzBDTfcwCQSAGPYzA8//CA853POOYdp7ZKeI2kN8nb4qKjvag4Ek0mCkB737Nmzk7JtAQ24pSD6rbfeYuzJ/2qrra0V2o4GDRqENWvWsCnk1D5rtiZNmrDAcMeOHfjggw8Qi8UYcLY3kYXvf5fRxyXj/nutoCMA1s53/fXX2/6c5DFIaxcw9hi/JzM8TtaSZ6cpt3jxYowdO9ZotUyidU6vzQ8Mo0AvDgfiCYXtd48A2pYJkh91WV1MqnfffRejR49mX5u1hQFtL/Bte/y0cLOZWWFLlizB2WefLYBzL7/8svC5yxWR0frWW28JGnd2ZjBt6+ejG+VkAihhwDidM3btccRq7dKli/F+AqiTHGzgOwv+CisvLxfWkBk8OKxkWoDJ/Px8TJgwQfCZs2bNQm5uLm655RbLOdm+fXsMGDAAy5Ytw+zZs5Pq4PGt9PyzJ6058wA8A7TVpszTYJ/ySuOer1ixgv3dV199hREjRsDpdDLG8Pr161OyksjcbjcefPBBjTXJrfmZM2fi1ltvFRhSx2uhUAhPPvmk7bnt8XgEVpqZ5fvqq69a/oYnCRDDtjJkgI60xmm4CRm1QC9fvhwDBw6E0+nEgAEDkJubi08++YT9XlVVFYLBYL2niQNa8YuGuZk1g9l125w/VEjs1q0bRowYgblz57LvqaoqyELYxT47d+60lS7iQVhi2p7WsSUWbj6GahjDyIiNXJfvePTRRwFozOHTTjsNn332GYD6acirqopnn32WtX0fj/n9fkGjfffu3fj8888txWaySCQiSAacccYZOPvssy17+OjRo1i+fDm2b9+etAvAbKqqCr5l4cKFSEtLY+CdJElsSOGuXbtYka1///4YNGgQDh06hC1btmDXrl04cuRIg2TAvo+1wr5EFi72bmRM6f8KK9eH1xU5KpHhMVJ8OlMVyHA4nEgkjGvIyMoFKjRWp0PVzi0zkJ+VlYWKigps3LjRtiDBG3+PSac+OzNdm2ZfrvkBRVFwwQUXYO3atQiHw0k7NkKK4VNicOC3337D5MmTWbxPMgv8Hl22bBkOHz6MUaNGscLI6tWrMX/+fCiKgtraWiYxI0kSi8cATQInJycHZ511liBJZhfXtGjRAmeddRZWr16NXbt22Z6tDTGSUCksLGTyB2amrdsBIA6UVlThh1gr7ErkYrhnK8Kqlje1ys/AoeoqJFTJwhpet24dunXrJnwvHA4zNiUNw+Vlj4h1CRhxgi8rD4DGpLQDbQGtWOTz+XD66adj1apVeOqpp1LG6GTZ2dkIBAL4/vvv8c0336C0tBTLly/H2WefjUgkIsgWPPXUU5YBkD6fD4FAgPnybdu2IRgMCoPkktmePXsEEgLlr0VFRazw1atXL8s65Vm2PAOYjM5Cc6GRzou0tDScc845Qi7AD+yuVt1IQEa56oWqqpZOK/Lf5tjQR0WSesTPI0eOZAVjPqajIYRk5u4LJhPFYUnN23VGYtcv+O677yzDfE/Yn7MToO3f0Db/vhOAVtGJqtYKDLVd+KQYwqoL6+JNcJLzUFJq/v9GkySJsVC9Xi98Ph8yMzORlZWF3Nxc5OXlIT8/Hz6fD7IsIxQKYdu2bdi5cycOHTqEioqKpOAEDVAJhUKsDfh4zePx4NRTT8WQIUMa1PYYj8exY8cObNq0Cfv27UN5eflx6X85HA5kZmYiGo3Wyehwu93o3LkzhgwZwnR+6dBJpT/GO/vycBQydyCpkNhk41QmyzJr+wuHw3jqqacwceJEjBs3jgVeZWVl9T68U5nd4LAuXbpg06ZNbGoqWU5ODq699toGt+iYNbGuu+46NG/e3PJ7pIvMm1nawG4QESWmY8aMYaw2qlo3bdoUiX1isBeDQ5BF4A/tcDgs6H/27duXBcHELu7atStLYt1uN2O3EZv08DERkE/G/DHbSSedxJL2TZs2CaCT2fh2tVmzZv1lwEYy+/HHHxlgDWhMPZ65UF/guG3btrjrrrsE8Hd9vDEOK5loLFfhySefxL333iv4B2rPlSRJmDbLG4EIpMkGGOxc2pMSFHicMmN72FXs9+zZI3xOQAz0zcbL0fB7PxSJs+fu1hlsOX6N/X28rB+74VnmoXt8izOgyVaQ9ezZEz169GB+7NChQwgGgxg0aBAbCPHhhx8Kf//DDz+goKBAABZ5YA8AyjmmraLKlp/bGa9bVh9rUpALoISd8WbdX7JkOpQi01a7/61bt7Zts0ymm308xuvqAQZgXOCK4mjMjcNKBnbs/BW8rO+xY8fYmgsEAmyqcWlpKYqLizFy5EhL58jgwYOxb98+xpC0awUndrg52SJQacSIEUwrVFFUgWkLaMwXBUBltbEGf/31V+Z3V65cyVr6b7rpJrbO3n77baGwkMwkScIDDzyA559/Xij+Pvfcc0nPjPqYoih44YUXbAsaAJheIaCBOeZE1ewPyPj9Xqtr2VaFjfVHazwUCgmyOvwZ9+ijj7KJ8yeddBL8fr8wgRvQWvvNg+jqY0OHDsXQoUMRDofx+uuv16ugvm7dOqxbtw4ZGRm4++67UVpaarkeO9C7pqaGMQx79+6Nc889F4DItCambetG2dpgwYTBrKPzOpXvWLJkCbt3VLAmYIjf36nkZ0pLS/HZZ5/9ZfMBWrVqxdh0iqLg559/xrfffpu0MPvTTz+xeKV169a4/PLL4fV6UVBQYHtNBPJs27bNwiA0W1lZmfCsTjrpJCiKggMHDjDAltqZp0+f/qc0dA8qfkTgQoniQ1OHwRDku+JcLhc8Hg88Hg/S0tJw8OBBdn5dccUVyMnJQVZWFtxuN37++WfLkFvAKIx4JLF46XFq31chwZOWhnDIABj9uXnAnlo4JdUAbU1gXK9evbB48WIsXbo0JWhLLL2MjAyEQiHmE7Mz09EoNwvYX404ZOzYsQPt27dHx44dsXXrVjz33HMWP6IoCtsDgAY+lZaWQpZlXH/99Xj11VexYsUK1t7P29atW4WCQ48ePdCjRw8AEFiw/N50OBw4dOgQYzy2b98egUAAGzduZENbeSN5hauuukpYi/F4XBgUW18yzOqaAuxI5OLNAd2xVy9quUznvcehPZfSqmrsTWQjARnrY40RhgbatmmUhRV/VAkxU7t27fD777/j888/F0BbRVFYkbN58+YYPXo0li1bxuRZAE2azQy2HjpmdCGokIXhiGTvvfcerr76aowcOZJ1aHz00UcCSSCV9e/fH/369cOzzz6L8vJyRi658847sXr1assASLMkwdChQzFo0CA8+uijUFUVL7zwAlq2bIl//vOftu+nKIrgC3iwskuXLox0wseHZKlYtoABdg8YMED4Punwm/0YDfoiI7KEAhnHyitRkCN2QLOCvmQCbT1Eiqg7fj755JOFs2f37t1smCBv5hiJ9gWPJXn8eaCIZ8+ePbYSQCfs+OwEaPs3tP1HSkGgbQwOS+Umpmj/7t/MhcV7NaZIRHXALav/LTpN/x2mqiobEPZXthM6HA44HNo9pUFif8YikQjWrl2LP/74A0VFRWjfvj1atWqFI0eOYMOGDfjjjz9QWlqaFECu61olSbL8LX9YJRIJW0aEz+dDt27dMGDAAFtGCw/Y0rCYZMZXAcuqY8IAFwDCZONUQ3ScTicT1a+srMRzzz2HW2+9Fe3btxeGlL3wwgtJWavJLBqN4uWXXxbYvnwwtmnTJvZ9v9+Pa665RgDDGmKvvvqqAPan0pWzG6JkPqCpVYWMX5N8gEHtxIWFhVD4MbTQnpF5Em337t2xZs0axvS59NJL8fHHHwusBarYUvJESfQ333wDwGiPO1JaLrwfnzDQ+kkGDF1zzTV466238NFHH9VZyeeB2+eee+4vmzTLm6IoeOKJJ1ig1rZtW3Tr1o0BtlRgqC9L3hxEA0YQd0xJRyJRghkzZsDtduPuu++G2+1mv5+MIUX6w+aKPbXOU+Ln0vVTiWmbLPgj3cbzzz8fX3zxBT7++GPGXqN7Ymc8c7eyJm6RR/CnkzxCw9pKSaf2jDPOsB08tHr1avTo0QPhcNhybQsWLBAGwFFQ2qRJE1RWVqK6uhpLly7F0qVLMWbMGEG767zzzsO8efMwZ86clEW2MkWURwA0hmmq4k6DmbbZmQAM1nQyUIQCddqblJyY5REAbQibHYPyxRdfFJ738Rq9N28EGDdNS6AiFkcUTpSqPgzv1RUnnXQSS7Tef/995iv79OmDXr164d///jcqKyvx5ZdfYv78+bj33nuF8+qaa65hOm3FxcWC/+BBbnOyRawaei2v14sIN1CLQFtNY86BcE2EwZWlpaW2iZ0sy2jTpg127tyJHTt22E77Tma33HKLMOwK0HTmrrjiCltplFS2YMECQcqHt1atWiEcDjPAtk+fPhg2bJjwO4qiMH9g1ovmGfwxXcc8ZAPaAloHAD/gjwp/iUSC7V9AY7vdfvvtTHaACsTvv//+cQ+k8fl8rGV+69at+OCDD+qMfc2T0Js3b84GsTz77LMpB7fRQCr+fqkqENYBq6JsL9IcKpDQBpHZvbf5HKusrGRnsV37v6Bpq8q2BS6y3377DS1btmSySH+VybKMpk2bCr7JTs+YbNeuXQzMyMzMxJVXXmkpfObm5gqa3fzgHI/HA6fTmRTMXb9+Pb5dtwM/RluipysTTRxVdcpLmT9PZmYmCgsL0aZNG3Tu3Bl+vx/BYJDFuRHVUW+tYIpVLrzwQss+plZ1s1FhxOcSX5/X2M7wZwugrS8zG8AhuGUgqojyCDRXgKRA6ipkkO8oLCwUQFt/ehoa5WYDqEZclbFp0ya0b98eo0aNQjAYREVFhcXnLVu2TABttXxV+3fTpk2Zfi2xOEkTlay0tBQPP/wwK/IAmoRMMkskEqwI63A4cMEFF+Dkk09G165d0bVr16QDxt599114PB7ce++9kGUZb7zxBgADLCVzOBzo1KkTtm/fbsvS3pHIRYWahn1RLyqqtL3okkW/Q2fL7pIwIrov2KNks5+3aaSd+zxoe/XVVyMYDFp8GPlXn8/HfNWAAQNYxwfZ0qVLWXzgcrlwqKRceB0FskVPlf/c9957L/71r39h06ZNdcY5vMmyjDvuuANHjhxhw7uefvppNG7cGIFAAJ9++im7zqeeegoOhwO33347O1+pG2Xp0qX47rvv8McffyAYDNoSJqgjgYyezz//+U/2PG+66SbLNdbFsiWJAF7SzvwevMTckiVLhBwKEJ/lex9/jtvHiwPlSHbFPLTO564/aGs2AmzT0tLgcDgYTrJ582aBpEPnFV+Q/eNQCU7Wu4lef/31ejGsT1j97ARo+ze0yhrjsFAhIRxNIJ1ro6EN7vd54UIIEciIwwFVjVk2XygUwrp167B161YcOXKkXiLu9TGSFjh27JhlGMT/ZEskEn/5oINIJIJDhw7h0KFDbOp6XSZJEjIzM9GiRQt07twZHTp0YC0dO3fuxNtvv530Os3BhN/vR8+ePdGnT5966TrxVWaXy4Xs7GwGEtkZ7+z3l1QgzS0CczxoO3fuXIwbNy7pa7ndbkyePBmPPfYYSkpKMGvWLEyYMAGyLOP+++9nB+LatWuxbt063H///Sk/09GjR/Hyyy/b3is+AMrIyMDo0aNRWFiY9LXqMkVR8PDDD7PXzcvLE3QU7cyOCWVmqdaoLuzatQutW7cGAJbANGnShIGqsiyz515bW2uVJ4ADJSUlbDjLunXrMHLkSEEioWvXrrZsBJ/Px5i1l19+OQBDB5XYimUVYlsZH6R06tQJGzZswKJFizBq1CjL67dp04b9e9WqVXVqMfPA7cyZMxvUSluXmavT48aNw7fffsuAsbZt29aLQRcKhfDKK68kTV7p/hxT0lnxIBqNYsaMGSy5crlcSTWyqDXQrBVGCRntSZfO1nER01ZfW8mGd5122mn44osvLEUavuW4adOmrCjBs8Ara2MMoKMEM01v76ov85qMru2bb75h/oC3efPmoUePHmyYk7mwtGbNGgZQbN68GYAWvLvdbpSWljKGHP+s8/Ly0KNHDxw5cgS//PIL20/m9jIAqFCtA79mz54t6LmZLRmbIpllsiEUVnY0X6ilVkhqyacuAn7ACL13Mtb28RQN7eyVV16xfM+QzJCQIUVQqjoRUZ1YuXIlVq5cKTy7xx57jGm9yrKMiRMnYt++ffjPf/4DVVXx2GOPWYC8e+65h/kDktYBjAnPqXw6MW6bN28uTPP26uuXzq2aaBwt8/IEf00gGd+yes0117BreeWVV+qUzODtoosuQrNmzTB//nz2vQ8++MCWZWxnfCuwndEAN7KxY8faMmhoT+WZPi8grsVoQrs3/CA+XpLDDGrxcgPz5s3Daaedxn4nJyeH7XO+CLNhwwZs375dGD7YUOvYsSMefPBBKIqCOXPmWLppktnevXvx3nvvIT09nQG2JCGxbt06LFy40NLWz/vUWjh136Ci0O9FhscBREVGU8+ePbFy5Uq8+eabgsYgYOhCn3rqqayAzO9TQf4EEtxud8puqrlz56Jp06Z/KsbhTVEUzJw5k72nJEmWosqxY8fwySef2LKJq6qqWJeELMs477zzcNpppwm/wxcy+EJ9MhYZAPwaK0KJmo4diTw0cRhxSWZmJho3bow2bdqgU6dO9Qae6KyjvCoCJ5599tmUvh4Qn5W5pR1A0tiACqE5mSJIxIO2Wbn5OHLAKDbWxjXf5XZIcCRUQDVAfYpH+f2XzHgCDA0CZTGDS0ZBjh/AfsQhC8XOli1b4o8//sBLL70krOMVK1agWjXWmwpJiE0vueQSbNy4Eaqq4sUXX8RNN92Eb7/9lnUaAVpOFgwGMW3aNLzyyiuWs5gfnLh161Z88sknTIrq008/xaeffgpZljFy5Eh0794dp512Guvk4C0SiaC4uBj9+vVjz9ysq55IJFLex1pd4mDrHwfhdFDXkfg7afo3thyLgmQOjdkfKprl6IXuJDETDX3jQUqzRuvFF1+M0tJS9jm+++47NguiR48e+PIPseiRgGQLJpWVlSEnJwdpaWno3bs3fv75Z/z73/9uMIjXqFEjBAIBLF68GD/++CPreDrvvPNw4YUXsrwpkUjYgreDBg3CmWeeiUcffRSJRAKzZs1CkyZNMGHCBABaRw1fOCI5nkaNGjE5mby8PFvCEC9hZ1eMJSkls0yZef+WlJQknQ/Ag6679mlrij8rkhX0fS6n/nNtmDTpVYfDYVsQuaioSCic/+Mf/0D37t0F2alPP/2UFej5wjZ/Lh2pCGP8pPGsKJDs/U5Yw+0EaPs3NLMuYWVN1Ba0zcn0wSVVIKI6WXJNIBhZRkYG+vXrxwYQmS0UCmHt2rUM1K2vBlRFRYWtVt7xTGXNyspC//79hSDfzkjrqKqqCuXl5aiqqkJVVRXC4TD7r7a2lk07ra2t/dNM2v8qU1UVlZWVbIomAOxL+PFrrAhnuncjR7a/h/n5+ejbty+6det2XHq5PGDr8XjQoUOHpEnO2WefjSVLlghM2137D6MwRzz4ePaN3bRns3m9Xtx9992YOXMmDh48iDfeeIO1xJx99tno1asXnnrqKaiqiunTp+PCCy+0BMU8OyOZpaWl4aqrrkKzZs3qvKa6rKysjDGFAK2154wzzkj5Nx988IHt9+MmwLUWTnz//fcMtKXnce211zIwsWvXruz7paWlQiu2CgkxaKDusGHDMHfuXCxfvlxIkFIdynwiSGuK9jCxEcurqgEYf89raLZs2ZIl38lswoQJmDVrFr788st6ARSkgQwYQM+fnbr+xhtvsEQlIyMDd9xxBx555BH2WS+99NI6teCWL19uyww1GwF9pWoaJt03BSVHDrMBClRgcLlcSXXiqIhi1ptiA8L0PUkDyFyyAigGU87n86G2tpaxcACNVULvG4vFmPadoiistS07O1sogPAgTlWtlWnrdRlDNY7HVFVNCsiXlJSwtUkJ8rhx4/Cf//wHc+fORffu3S3aXoDG5AoEAli/fr1laJSiKJbzyVzwiakyQqox9IFn2qayhg4iy/Bqz50HxonFtmPHDva8yOjz0RoWhmfZMJ3NZ7GZgdFQS7a/6f54XE44EBe+B4jgRjQaxTfffIMhQ4aw7zVr1gyBQAAffvghNm/ezM7E8ePHs+GI5A/C4TDefPNNobBy4403CtdDyWtaWhpjE51++umo0UFbCQpLuGVJA0Ci8QS6dj1ZABMuvfRSvPnmm5g3b55w/lAHw6FDhxrEtgU0EK9JkybCMJUvv/wSlZWVwj3hLZVuLaD5iHbt2gmA7dSpU239Snl5OQMo27dvj5KSEqFowRdoiZgcjhgxIf9co9EoRo4cKejGjxo1Cu+//z4A4Mknn8Q999zDfub1egW/ThaJRBAMBv90V4Usy7j44otx8cUXo6KiAv/5z3/q1LDkWZpXXXUV22PdunVjz1xRFHz77bf48ccfhXiSfIQPWvdRts8NVIGx6wCtdX/lypWWojiBmZIkCR1FpHMOWOUR6vI/gNbZ81ecld98842gTXn++edbAFdAi0f5wsWmTZswd+5cS8FQURR88cUXjAXZrVs37N69m/nvESNGYN++fXj44YdTkipqVCf2K1rrcUR1/CUMsVdffRUJVWJFsIjqRHn5UUSj0ZT3kdfZbYjRHmveWJQAc8gSJChQISO/sDG2cwpfFSGteOBxSnDGRE1bWpM8AJnML5FUDBUTAE7n2+lAtj4cMw6HsN6uvfZaFBcX4+jRo8JrRyIR4aykvyXgEQDuv/9+TJ8+HUeOHMG6deswePBgdOjQwdIRYvYLgMbm5yW1OnbsiPvvvx+A5uc//PBDNrx07ty5mDt3LiRJwrnnnotAIGDbBcWzJM2MbpfLhQ4dOmDQoEHIz88X9oGiGnt75/4jyM/O0O+beJ/TPdqaORjW1oXfEUdlQvu7NMSZjrE5D6BC+4svvgifz8cIVjTI2WzXX389Zs6cyYB4AtnPOussvPPsl+DhI/Il6enpqK6uZgW71157jQ16Pffcc1mR8/3337clYNRl55xzDs466yw8+eSTqK6uxrx58zBv3jxMmjQJCxYsYLkugbdOpxO33XYb/H4/nE4nHnjgAfz0009YtGgRDh48iGAwiKuuukqIuUm7GdAGXlIh2VwUA7TYg862iRMnWn7O5z5mAgWdY0Qe4BnsY8aMYUWlzMxMxMuMNUDyOHwunEzTNo1D/OOQ4dDj+aVLlzJZJrI33njD0ulExAU+t+PjLX7IG99FU1YTZ5Iv8XgcTz75pMB2P2HHb8eXCZ2w/9Vm1rjcuVesBlIinZedyZJ2+t7BgwfrzfYENPDizDPPxLhx4zBlyhQ2MZH+mzhxIgYPHoymTZvWKxA8HnmGiooKzJs3D8XFxQgGgwgGg3jttdcserOyrLWIFRYWomPHjjj99NMxePBgjBw5EsOHD4fT6cShQ4dQWlpq21bLvw5NMj0e4/Wt/sygMbNtiRfgmJqBPQkr+65z586YOnUqbrnlljrB7WTGA7ZerxetW7dOCtjyU5cFpu2xChwtFxMh1QYwqMsINAM0EIJnEPn9fgQCAZawz5kzh1U4586di2AwmBSw9Xg8GDNmDAKBAO69996/BLBdunSpANjefffddQK2gDFp1mxm/c9a1cWmnvIHrtfrZaADr9NUVlbGXoN00Wj/k5wBJeZ0qL/11lt1Tj23Y4uQhUzD0vjPQNeYqkDSpEkTltxQZTuV0fA6shkzZhx3ASYUCiEYDDKwa8SIEbjqqqswffp05q8mT56cFLANhUJ46qmnEAwGheDRTm+XgDYC1BTIeOuLbxgwxctHhMNhTJ8+HU8++aTIsOI+Z7J9TnvSreuYe/Rfi+vrgBJf3h9feeWVADTtPQCMocAnS9TqZn4fwMS0dYjaoH9mkvXGjRsZw5s3YgRS8ldYWIhmzZox3/3xxx+zJNRumvTJJ58s3L+SkhIUFxcLmr2AFbQtV0UQmWfEUGJMz4h/fTUJmyKZUfLGA+O0fkhjjvwzH5QTO1IYVGQziMwMJpi1fRtqZpYnXRPdH4/LwVjGPAuYfBLZ999/j2AwiI8++khY65dffjkmT57MrvuVV17Bv//9bwYSUHK5a9cuxkLizykyYlj17duXJXft2rVjwAc/7ZvaFWMJFb1792bfD4VCrIhmZin/4x//YP9ONVU9mTVr1szCnPr+++8FwA7Q1thzzz2HmTNnJh00Nm3aNESjUQaA5OfnIxAIJO1OIWB3wIABrH2bfwY8YUDHhthAMkAsDnz77beWAtwHH3zAztzq6moL0C/LMgKBgLA26VpnzpyJdevW2V53Qy0rKwt33XVXUsADAMKqkyXYgLa+Kf7k/ysuLsby5cst58/OuObLc2Ut8S/I0vS945IRW5LMEGAwt7Zu3cr8CAFQZLwWv7i/tX8TkyxV/Jeqvbwuo7kCBFQVFhYiEAjYArZ21qVLFzZ5fdq0aejbt68tqLlu3Tqh4DZ//nz89ttvgi92Op0WssnORC7zsxE4MW/evAZ/Rt7ofvNFx4guV2XWYDUbASh2QwnttGzJyN83LbTKcxHzv1HjIuH7pCvtdTlAqgrmMzcej7OYJFkOSF2RPCBEn93jcrDOmbgqC89ClmU26NasB12tirlUTJWZ/AqgPUcCAOfMmYNoNIqmTZvWKddz5513ppyB0KZNG9x3330IBAIYO3Ys0tI0wFlVVSxYsADBYNAC2KayQYMG4f7778ell17KmO/8wL1aDgQ9UFaNihA9E/E5ZKSJefKVPRojU9J+N02Kst+n50d+Zfz48QA0P0HM9cmTJ6fc63fffTf7ebXqgqJq97uqRiRfEWufiv4UQ5ilBydPngxA81Gp5GJSmSzLuOeee4SOy8cffxyhUAhjx44Vfjcej+Opp57C9OnTmX8844wzMG3aNBbnmeMO8hvXXnstA2yHDx9ue5/qYtlS8dROVoZ89OrVqxlgO2jQIEybNk3oAmjVqpXgP0geR5Cr032Ww9SF5XbKkNg8CuM1+PkkJSUlQv6SzPjiH/09X3jhmbYhnbRMQPZfIRV5wjQ7Adr+Dc3cLrn9D2PzHzx4kG3ughw/S9pjkFlAN3fu3DqHUtXX/H4/BgwYgOuvvz4pqDto0CAUFRX9KSDUbHv37sWrr77KAufp06djzpw57HMdPnwYzzzzDPv5zJkzBY2eVKYoSlL9wPr+PQ2Yqq+jkyStvc3v96OoqAhdu3a1BCQ0/MaOtbZ582ZMnz6dfd4XXnghpaSB2aLRKANsSQOHBxVlWRYOvfvvv58lHHwid6yqFgeOioe5meVV13AJsuzsbKbltn37dkvr/vjx43HVVVcBMA4uu2DU5XLh6quvRiAQwH333YdWrVrV6/3rY08//TQDGR0OjdlRHzYQz9gym3lSaI3qZAEyVUbbtm0LwADdKCAFtLZDYvX5ZNr/ukajKXAZOXIkAG0YCgFAvMYh3V8AbNAKBSsej8GgqDYFgXzCUN9hfqTfShpSdRlpy5IVFxc3OLBYvHixoGM4ZcoUlJaWMqYTTcK1Y3v+8MMPzLdQQOn1enHrrbdixIgRltbiFi1asASVvz/frNOYf4qisECYChKA9jynT5+Op556CvF4nK2dVEPY2DATnZFP4Cn5DtqDdgAwra1EIiHcGzIRxDHOooMlRrGGMW2dVk2u9PT0pNdtZ3PmzLFlgNLaJ9YWta8Re2/jxo3suZx11lm2r02fpSFsqHJOzxYQGW80oZiSX37dNHQQmV9n2vI6gKeccgoAg01LLMYLL7yQ/R0xcHi/S/+mScr077/KSCOVNzqL6b3T3C4GOvAg8tq1a3HNNdfgmmuuEf5+06ZNrFBLPsHr9eLBBx9kvqi8vJwB7RkZGSzpo/P7rrvuslwXFR369u3LvifLMhum6OSej8yuVwTG+UGBgLWNllix5eXlxyU94fP5LIDi2rVr2fr66quvUFxcnHTQ2JgxY3DffffhueeeYwDJgAEDbLVRyfhiBQ/C8dcvMG31Z8jLSvBrjgoL/NmkqiorCgHWhJvswQcfZPc7Ho8zCZ05c+awe/BnrbKyUihITZ06lQFPcVXGZ7UnYW6kfsxzh8MhtNtHVAe2JTRg58FRmp5yUb728xgH2h48eJAVeN98802m5QtoYF8q6SfFxLQFwPZQXXv74Ycfrs/HEmzWrFlCcfq2226zsNgbYrIs45xzzsH48ePRsmXLBv3tsGHD0LNnT4t25I64cSZGVCdWr1593NcHgA1JFUBbHXSpra1NKnHA75mTTjpJ+Nn27dsFuSGz0R5rnJdt+RkVkdLSM4Xvh/T4y+d2Qj/qbXXk+/fvDwCW+wYYBUCHwyHI5JGv9rpkprEZs8lBCFQkMIryh7AqgpQxOCxkkI4dOzKpFioqOJ1OBAIB23jh/PPPR1ZWluX7ZNFoFF9//TVmzpyJYDCI119/3SJlYmeppENICsz8PmS1HDhdVhNHlU5k8LnFPexPF2PJIae2w2WnaL4izx1nA+eoEENnS25uLnbGc7Eo0h61etz12GOP2RaS+P8URcExxYcPa7vhx1grAEB1VPQPtFb4z0O+h39WXq+XnZvHU5DkjYgKdNbs3r0br7/+Oi6++GJLnmIGb0kuzzx3hO+m4vXh+RkH/GumYtkCBrmFL8QCVmkEv9+PadOmYeDAgcKZ4vP5sH79emEAcFR1YM2aNQL5ge6/wyY2NEubAWAdIu+//z4jLEmShKlTpwo4Cx+X8MXxjz/+WMCAPB6vcLbXKA52/WREkjhhf85OyCP8DS1mYtruO2TQ8letWsU2d4bXDY9D1dpiVQeOHDmC9u3bY/v27Xj88cf/W8Sl/X4/Bg4caHvgAVpS8+uvv2L79u04evTocSU4qgrsiGSgYu2mv4yJ0VBzOp3wer1IT0+H3+9Hfn4+CgoKUFRUhLy8vHppyZLRRFPeYqqMKp3hRSApJXWLFy/Gzz//LLBtjh49ihdeeIF97fV6cc455+DUU0+1HIikpQnYT2tPS0vD+eefz9r5L7zwQjYsBBAn0lfWxnG4VDzQFFUCHz/OmzdPSNxSWX5+Pmud37hxIzweDztAS0tLk7LDnE4nLr744j/V7pvK+EFtgNZKygOcdVmqCj8BeiRtwAeD1No7atQoITGjifB+v1+T/dBvuM8FlCasQDB9BvNayM3NRZcuXRgbjf/5E088gQceeIC1yp988snsZzUxcd/yCUMoFGKtXfv370+qq5mTk8PacebPn29p/7Ezp9MpaJ4WFxfXa0iIoih45JFHGBh+yimn4KKLLhLayQYMGGCZOh8OhzFr1iyL9EvPnj3Z9e7bt0/QpQQ0JvHYsWOZ3iV/f44pWmBEQHGjRo0wfvx41NbW4oknnmDXWFlZyQorAFJO8Y2ylkbtfTK8LqDaSLbq8rP0vOoa8sh3few+bABIHiexc3TWCAfSZWdnC4Ubsx4tL9nAXyvpMfNGLf5Op5P5WLfbjWbNmrHkMZnv5QPahnSAENOW9icPwJPvJFA1MzPTAl42VB5BhYQ4ZLigsMIjAdWUXPODMMjEQWTaNR46dAiDBg1KCpZ99dVXDBBtiJmHu/DSC3QdaR4X++zmQt5bb72Fq6++Gp07d2YaxLzu8nfffYfvvvuOtbj37t0bPXv2ZJOp58+fjwULFuDee+8VdN0ikUhS2RezjzhaVg4AcEhcIUMifUjxdzdt2oQRI0bgrLPOwpIlS/DBBx8IQ0z69+/PippPPvkk7r333hR3z96IdUqD1gBgx44dwuR0s9HwrGg0Kvye3eAWs5HPmjBhAmMoDRgwQCgw8kUaeq6RJKAt7dt//vOfTF8Y0JK/Sy65hAFiL730ki34N2nSJDaYaOfOnRg4cCC+++477NixAw8//DDuv//+4+5k+v333/HOO+8A0IpI99xzDxRFYYXIatWFKJyIqk4oqpRSh1qWZUyYMAH5+fksJtgWL0AcDuRINTjnZI1Z3LJJAYDDqElI4EP4oUOH4qeffkJJSQkeeeQRAFrcw5+vgHVWQdykaQtAKBhTjGbnNxOJRNL7bjaz1FS/fv1w9tln1/l3dkZg2tq1a1NKrUmShAEDBuDnn3+21V4365ECQLniRYlqAHzEkj5ePcZk654fDPvvf//blq1NzHZzMbCysjKl7rT2XtpzJU1z3gjUiZkw+XAkBsADn8cFt0M7E+w0Ubt164Y5c+bYSmlQp9W1114rSF8weQSXUTy0iydlWWZr7e2330ZpaSmiqsyYhWmIoQYuxFR7KQ8+Pnr77bcxevRohEIhW5LHF198gaNHj2Lo0KHYt28fli5dit27d9c5jyQzMxPdunVD//794Xa7cfjwYbzzzjsMBOOHoJntkUcewb333sviCTOJJKugCDT/tyouI1SrPZNME7M2OyMdgJEjdSnyo9eoAeh18mF0b5GN8hqt4Eh7euvWrSxm3hgvxDE1HYcUP1o56j8rplzRYpajeqxZEzdJQHHnG53dF1xwAT755BN89tlngi8655xzWCHwnXfewdVXX13v67Cz888/HyNGjMATTzyBSCTCNIg7derEgH+Px4NIJMLAW6fTicsvv9wyVI98yg033MByWnPXClldLFsqRJvjx9mzZ7MZHwAEmSY+5wY0hu7y5cuF/RKFA0uXLhV8EsVnZqYtoHX+RCHiPqqqCuf7mWeeyYgJQ4cOZcX8uXPnCnKYzZs3x969exGPxwU/1LvfALz0pUG24n3c1VdfjXfeeee4mdUnTLQToO3fzGpqaixM2yPlRmK9Y8cOxKA5eJ/bqSXtMWPDX3XVVXjooYegqiqeffbZpNPJ/7ssOzsbgwcPtoAjZGVlZVizZg02btyI8vJy2+T6oJKJb6Lt0Fwux9me+rFpeXM4HHC73fD5fPD7/cjNzUVBQQGaNGmCxo0b/2n9r/qaGWjljVi2gHHA0jCEYcOGCezIX375BYsWLRICmNraWqbpBGgH88knn4zBgwezlkiv12sBbGmYFh0QHo8H3bp1Y8GNLMtC1b06LqG0qgZ8VmJ+YnxrR32MAK/XX38dK1f/is37yxA+tAupyHGJRMIWyPgrjAbjkI0ePZqxE+tjdX1+er45HgmlEeMA5Z+N0+lkSUWjRo0Yo6RVq1bYsGEDC/j8HhmoFQ/8goICHD16FCtWrEDfvn1x6qmnYu3atQC0KdV8MMOzmhKJBLZs2cICFl5jkW+RBawJw6mnnooVK1Zg0aJFlhYo3iZOnIjHH38cK1eurBdoC4gayAAsU+TNtnnzZgHsv+WWW+D1eoUg6KabbhKGFvzwww8MrObf9/rrrxcYr+FwWFgbgLaH+MBJNYFAR5V0HD16lO0p0gD0er144IEHsGvXLrz55pvsb/9QclAgh/D+++/jlltuYUElvz5IBiFNB01zMtKAEpV9vy5r3749Y1j069cPP/zwA2Oh8caz7A/wTFuSRyDWiA2wya7VBCDbJV579uzBddddZ2H+0nlgBh/GjRvHniffFsYbDXMjy8jIYC32qYCxCp1p2yRdxoFqlbHayXbs2MEA4czMTPZcjUFkSV9asDSXg9OkdsAFRegkqKtbht+D9N67du0SWorNw6Z+/vnnBoO2dl0D559/Pmvnp2ef7vXA6QCgiOAeTRB/5513cNVVV2HLli1QVRW1tbW48cYb4XK5MHv2bFRWVkJRFHz88cf4+OOPkZaWhmuuuQaKouDVV19lg8p4e+aZZwT9Vn5oktlKdVkfhyCPYA8yE5DQr18/LFmyxFa/n4DJmpoaQcOxoXbPPfcIetupfi89PV3wFwDqVcSiInFaWhqaNGnC7pMZ7OLPEVpfNJAMgGUvALAMf6mtrUXnzp0ZqHj48GEcPHjQFlS+8cYb8f7772Pr1q347rvvMHz4cCxYsACJRALFxcW47bbbBEmZ+hg/6Khdu3a48sor8eabb7LCJyAWo2KQUZSXjYqKCttil6IoAijtSfNhU432mW8+qyNba3mZmt+IKA7L35OR77NjRFvkMYSijPaae/fuRWFhIQ4fPozOnTtj48aNSQcBHz58GF9++SXrtjFbbW0tHn/8cXZ9Pp9PaLeuj23cuBHffvttUkY4oBXZcnJymJ/s1KkTK+oPGjQIs2bNsjDZ7ez3hHYOFzhrcTTuRQROqKqm01rXQFg74wvrQnszd4bS+jUzNOmzXHrppcLv1iWpABh7jIp2vDkkBVCBSFxEbUmPO9PngadC8012QFyyYi2/Blu0aCHER3EOtJX1tRyHfRxx8803Y/r06dixYwcAoFovcLoRR5oUQ43qSvq3AFgBfseOHUJhBdD0n3mN6Z9++ikpY1mSJDRr1gz9+/dPmQcUFhayboxjx46lZBPGYjFMnz4dvXv3RmFhoWUgWbfeZwL7tO/VqE7UROmZiH4/LzsTgB4fSLUMnD/3JC2+qiVNYv2+kzQaAISh/a7Tk4bA1NuTXqvZ/ln8KhAzWM8RRfTTvC/p3r07Vq9ejV9++QWAFmOZCR5TpkzBjBkz8Pvvv+PYsWMWxmtDzel04r777sOOHTvw9ttvQ1EUbNmyBS1atMCePXtYcbpHjx5YvXq1BXQ0GwG2bdu2tS3Y8CxbvtjKGxWiaZ6KOW8AgNtvv51p3X777beW7tZ+/fph+fLlwl6Mqg6tG5Lbc5JDe64Om9jQqe95u0IJAMsg5tNPP52Btma/+c9//pMVFvkOyA4nnQJ8uZR9HYETiqJCliVhdsInn3wiDIE9YQ23E6Dt38w2btzIWFRk5dVGJbqiogJxaG0mPo8D6S4HUGNUin/88Uc88MADKC4uRmlpKX788UehTfB/muXk5OCss86ytLfOmTOHsWprdCZipUnwvj4myzLat2+Pc889N2W7zX+lhUIhPP300ymrxGWK4ZQpiCovL7dNdnr16iW0g6xfvx7z588XGAuqquK3334TWkjMjIYWLVpg7NixAghFjCE6vAYNGoSvFnBTbBUHKmuiAAyQ2ZzwHo+ucYsWLTB69Gjc8toybNmdh6HuEjR1aNVqmpAJaEwGfkjZxRdfbGGs/BnjpxkDyQe6pDJqf0xm1HbaNDsNpYdrUKMHasTEpBZpCliHDx/OWEs9evTAb7/9xiq3OT4XUKEycK22thaDBg3CRx99hJ9//hl9+/a16ArSOlBVTSOuUA5hwuhL8e677wrD0/i2V0rcnVAQh2xhpg0ePBgrVqwQAlA78/l8SEtLQ01NDT788ENbLVM7Iw1kKkAEg0Fb4JaXDcnPz8ctt9yCtWvXsoTY4XAwBld9WLW8KYoiAN6AVsGnhJGAAm0/GHuiQvXimRdnwQlNh82cFOfl5bHgdb/ix7fRtmgpl2FI+Q5Mnz6dyYgQ8C7LMgMdMvXELzvTB6BaSD7NjNZ169ahW7du2LRpk9ASR3528ODBFgCAB3GOVmrFGgkKZNloqQS0BERVAUlKPjU7lX3wwQdJGROAVSqCD4g/+eQTS4sqAOGzdO3alSXYb7zxBvs+daYIf6cX0E5rmYcDm45Z1voHH3zAmBf8HmG6ZfVk2kqSBBcSOuPPAZ8UE4BaYvok01q2k0cwS5X4fD4LoNLQ4Vl2XQP8WUpAXnqaBy6Z1oNxbbt372aTqd99911cfvnl7Hx56aWXmMwSoHUavP/++4jFYqipqWE+MS8vD3l5eUJSn5mZyaRFyBcQm7RDhw6MjUtJnTZMURI1bfXLJKY4P5TLbGZg9qSTTmJ+eebMmXVqNNoZAYJmRhFvfEfAl19+yWQJioqKWMtyKqutrWV++a677mK63BkZGaxQRWz4mA27M8aBtsm0q2m6PPn2WbNmYfLkySy5njVrVtJC26hRo7Bo0SL89NNPWLBgAQYNGoRffvkF4XAYzz77LIYNG4Y+ffrU+TkBcdjk2WefjV27dgkdM3l5ebj55ptx0/97mn0vpjpQUlLChh7R4LEVK1bYgmAbq7wIw400RHHtIEPiyp+mneMRE2i1Zs0anH766ey5JSNSbNq0Sfiav9eKpL3mihUrMHr0aMycOVMAlfr06cM0inlbtWoVWrRoYYmRPvroI+H9xowZU6esFDHef//995QxXosWLXDuueeyuJXY1IAWy/Cx61NPPVXv8+IPfdbD7eeegmnztkGBjDjklIBxMjPr+/OASS2cQqcZ+Sgy3j/wEmd2g7TMZzBgFELT3da4kjoVoibQlkBcf3qa0V7P+di8vDwcO3ZMiF15P09xHTE6mXySarAAvU4ZTplAW+08Nw9KdTqdyMjIYB061TpImC5F4dLBJztpBTKv14vzzjsPn8xdgPveWII2ThfSJY15yvt2s51++ukYOHDgnxpUSHEh/2ztjNexJWvbti127jfa3WtUF2rj2nVnZ4igIf91Y4/Vf3hMMRP5fkVRUUMEjtr6DQQnq45o7xOFE7WxhGWYOV/gPfPMM7F69Wrs3bsX+fn5OHbsGObOnSsUv91uN/r374/vv/8ezz///F/Wtdu2bVsEAgHmf+hcoqLD6tWrcc455+Cbb76xzZczMzMRi8VYDnPw4EHbeOaJJ55gr2uX9/N+vaCgANOnT2ff42MAAmz37dtnW7xevny59no2mrZ8vi05tO85bbYGxSNmWcQePXrgvPPOs/5BCpNl2XYYfFiXy3AhoclxQUJFTQw56dr+7dWrF17/cTc2rT2CE5jtn7MToO3fzLZv325h2oZj4gakAMPndiAzzQVUGu2yX3/9Nfr27cuYi4sXL8ZJJ51k2x7wP80URcHrr78uCHgDRnBSYxK8b9u2bZ0tM1TR4/Vb09LScPrpp2PAgAENBuQaYtFoFE8//bSt1hIlN2S8jmJMlTF06FAsWrQoZbJDdvLJJwtB+datWzFv3jxL6/PeRBZWxFqgv2sXGjtC2L9/Pz789HP8tqcEubLWjk2HH7VK9O/fH/EFBggZUZ0IRSPC69pNLjcHe/Wxtm3bolLVqr8VqhdN9Raj7777Dh06dEBGRgYbUkbsjE8//RTLli1LqeVXX3v00UdZxZdn5TXEUrWY0DOnZKxFfgbWH65hTFt+IipgHPqtWrViz7JFixZQVGPoUV5mGnAwzMC1zZs3Mw2pyspKS/sZMbQaN26MlQdjWBZrjeZyOTLefTdlMMsGn8kK4ops0VNrCFv9zjvvxIwZM1ibdH0tOzubSWkAInBbUlLCtJ8AY+rw66+/zgLDjh07YtSoUfjxxx+xePFi4bW9Xi/GjRuXklFgTsp8Pp+glUXgFr8fvIihFi4cjaehiaOKMQcXLVqEX375xRJc0STmMOfrysvLMX36dDZ0SVVVdkZk6/ppuf4MANViS63uFxs3boxDhw7h+++/R1FREWOgulwuxGIxtrY6dOiAr776iv29ooqMm7KaOACHAEp6dIE9FRIUSHBARSKRsA0ceTODYwRWdu/e3Va3+sCBA4IOMHUUkG3YsEEAbp988kn274yMDAbYbt68mYE67dq1Y4AtJdcxVUZIT0S7tcjFlzagbSwWY3uVX/cEXtaXaQsAbimBqOoUwHG6d8QM5PVseRNAHf29eR01AJazFNBYl/yQkFRGjA7hmt1uAchlrds+L1w6Cqpw6zAUCuHcc8+FLMv46aef8OGHH7JWeEBjy95+u8YqatOmDRvOtHLlSgbClpSUWMAZankFtNbW+++/n/mUESNGMPkCAqMqq2sA+IQWRadpcFrz5s0Zi4ysS5cu2LRpEz744AOMGTNG+BnFWfF4HKFQqEGgwsKFC22BNrOR9BQv7TJ06NB6DcMEjDbRk08+GU6nkyWa48ePZ8xAl8ulgbY2TNuYYtwv89DRffv2oVmzZhg9ejSmT5/OYpojR47A7Xaja9euDFx89913k0oMDR06FDk5OZg/fz6WLl3KrvXXX3/FwoULsWHDBqZpncz487tp06ZC50ROTg5uvvlmOJ1OlJWVCUzbhOwCEMVHH32ESZMmwefzCUQCRVGwZMkSVkTdqTM++zVKMAANALJ00DZqit+XL18uFAbryxzmzxHa67t27RLWGE0xX7FiBfPnZvv000/RpEkT5Ofn448//hCKVp07d7YtnCqKgmXLluGXX35JqRXq9/tx5plnokePHhbgRFEUTJ8+ncUU2dnZWLJkCRYsWFCvz282ipP6dmwCed4WKJARUZ1wSVFs37693p1XiqJYNFf5dR9RnXA4HEIstGPHDtZtRdIiPJufislm83q9lvZ/xrT12DBtdQAnmjCDttoezPGns2FhvP9v2bIlA23pvP/hhx+Yxi0BosQqJONfw+tyIKGf2ZoskITNmzdbAP/bbruNFWMItM2QY4AkAwqQ0DWdk8lW9OjRAzM+W4lV8eYIq270du+1/I7ZVq1axYoef9bMMa7b7UY8Hrd8v1p1YXciB+0dxzB69Gjc+pKxbhXIqIpr9y4vS/T5aRwY3711geX9qTtJhQQVEot9ymtiUGEtetbHeMDvcGWtRWKRfz1e23zs2LF4/PHHsXbtWkvH0pAhQ7B8+XKoqoo333wT1157bYOuKZVddtlliEaj+Ne//oVEIgFVVVncY47NeQuHw0K+Hw6HUVxcjAsuuIBpusbjcXYO0LBrs9EgsYyMDGFw41VXXQVZlvH2228z7dhoNCoQm2655RbG2Ca2siCPYBoGDACyU2dQ2wSHTimhMW1NcWYqwJaXByspKRFIDdddd51wvW63G5W1GiDtkeKQVBVROFFSHWWg7RkDh+Cm77TzcvaXyzFmpHWw7wmrn50Abf9mdujQIcQgsorMDpg2t8/lRFa6B0CCtcXSwUPV9fXr1+Opp576b9G3PV6LRqN44YUXhMCWT+opoYrCibgqsURrx44dGDFiBHr27AlAc+BLly7Fhg0bUgaaNTU1+P777wVdp7y8PAwZMiTltNL6Gk19Tta2dvbZZ1tascs4eYQ4HAJ4NGfOnKSJu501b97cVqtybyILIdWDPYlsNHaEkEgk8MLqSuxOdMX5vt/ZZ0/GDACAWjhQYyoi2IG2S5YsaXAbLj9kL6o6GPunsrKStU0PHDgQgwYNwoQJE7B161a8//77OHbsGILBIG699daUw5uSGa/5C2gDbM4555wGvw4AoY3SbC1atMDWrVvZZ2xV4AdwVNC0BVJPhgbE+904JwNAmIF4v//+uzBkhpJykkwgwEqWZeyJacEmFUMURUGV4sZv8Sbo5hWZX5TAex0KqhWrPEJDtKrdbjeys7NRXl6O119/PaWcgtmaNGnCElVAA255+Qdi0tLPyC688EIsXbrU0hafjFVrNnPbo9vtTsoM5ROhZt4Ifq914ZiSjmbucNK2/FNPPRUjR47EFcHXAGg+v6ioCAcPHjS0Q/V9qaoqY7PkZmpJUX6OH8Bhy1kBGIBoSUkJk2c55ZRT0Lt3b5aAkvHSHubXqtLxAB605ScnJyDDAe0aO3TokFImxI7NWFpainbt2tmCtq+88gqmTJnCQFJ63ldccQU++OADxraNx+OCLjBgDO+JRqNC+1urVq2YhizdWw2wleBGHM3zMvTPZew3And5wJCMAK1U+phmc+n3i/exxJoi44tf/Jkigjrav4m1RvtdVVVLMcYOyE1mdokytZsb16Fduz/dB5cum2E+E3bu3ImhQ4dClmX88MMP+O6779CkSRMcPHgQZWVl2LRpk+Xs7dmzJ3r27AlFUfDVV18JyabZYrEYZs2axT6n3+9n4CvFB5XhWgA+jRGmGzFf6Hp79uzJ/o66XC666CJs2rRJ0Lkjo+E6gFYoePDBB5NeI5lZ3gBAyiKHuVjUkHNu69at7J5cfPHFAquRB/8oXrJj2vKkPzOYsGjRIlx33XXCGiUGNHVSEGi7fft2VFZWJiUQ9OzZE9nZ2Xj33Xexfv16NG/eHNdccw3eeust7N+/H8Fg0FYKwm7PE+M8KysLt956q3B977zzjgCsRhJA2w5tsWPHDttZELIs4/TTT9dBWwnHFE1X9fbLRd1XBtrCieycXJSXaQVccyeHOckG7KVQ+DM2phdl6DmRRAIPPl5++eVCuzlgrKvnn39eIArIsoxJkyYx5viuXbuwaNEiNrXezhwOB7p06YJhw4bB4/Fg586d2LZtG9asWYMlS5ak1LAFYKtzamckX2Y+P1je43bAgzhq4EYEDmRA626y0561MwI0yC/6/X7ES0VNykg0JhTf3n77bbYuyDeTxMOnn34qfDa+8MgP/ALEQmi6x3pWO3SNbV5HGjA0bnP9mUjzuAAogo48DfM6cOAALrnkErz//vv45Zdf0L9/f6GQ53Q6RbkOE2jL+6A4ZGzZssUC2rrdbrauqvUic64XCCckIA540v1AzVEsX74cQ4cOtXxGAKy7jGelZ2RkwOPxIBaLIR6Pa7Mb/hsm2idbt+tjjbE5UQhVv8+HyqvBdxhWxDWfoskhGJbmNj7TsF7WLhkPFzPFIUFWtc94pMpgZiqQG9QRI4K2EebfnEggDodwHm/atInlVvy6tQPZ77vvPsyYMQO7du2ylQn5M+Z2u/HAAw9g06ZN+Oijj2zPP3Pswuemd999N15//XWUlpbi888/x4IFCzB58mShGy5Zdy3FQJQnt2vXjmn30t+TrAyfG/bq1YsVa/gimci0tZEHkQm0tf6IMW1Nxb5gMAiHw4G0tDT4/X7k5eWhqKgILVu2xCWXXMIKRV988YWQQzVr1kx4nX79+iGkM7HdSECSVERVJ8rCxrr//MuFIMnDF3/Yh2tHqA0a3nvCDDsB2v7NrKqqCjFV08vKcKoIxSUhwFS5ikya24F8fwaACiHBPnLkCBo1aoSLL74YmzdvRjwex8yZM4+LOfhfaRUVFXj++ecFdkCTJk0wZMgQIfjkE4Ua1YVMyXA28+fPxw8//IA777wTPp8PI0aMEEAYRVHw888/Y+XKlUlBVEALpHkNREmS0Lp1a5x77rkoKLBWS+1MURS89tprQotq06ZNha8nTZpkO7G9TOFBWxkrV67EpEmT8Pjjj2PdunUYMWJEvdiMoVDI9vUBA4SJOry49tpr8d1336Fsq/a+8UYd2O+R1g8lpIJAOmRUJUS3ZAfarl69usGg7auvvoq42om9ZzweRyAQwIIFC1hFkwbWpKenY/z48Zg2bRobOPXcc8+he/fulkmgqWzjxo3CwIHj0dAji0ajKcFLYlxQMtYsVwuQIjCGoZCUCbFD7XQSFR4ULMgBcISBeGaNIwp4brzxRiH5P3DgAA4oWjAeg4zbbrsNr7/+OtaU+bEtUQBXxDx9Vk+YHEBJzJq8b9iwgSXrW7duRceOHZPeB0C7z8XFxdizZ0+D27VbtWrFwDrAAPDOOOMMNrjCrDvLD1rxeDwYN25cvff1e++9J4AdDocDU6ZMEX6HZ+eR/IUDCrq3yMXv26I4pvqEgLNJkya45JJLLMk7TQ2OQ8aBAwcQCASgKAreeecdNqQOMORw8vWEIc+fzv7ObOb204KCAlx00UW2n5UP4s0dH9UJ7WuZay/XtG1VABLikEAeavjw4UlBW/NgMrKXXnrJlilGNmPGDAQCAaEg1alTJxbYf/jhh7bsbdLc5INvAKxw1rp1a8ZqpQJKmhSDW4+wefDE5XIhkUgYIC93LUweoUFMW62lNKewCDi2lX0mYkOamZsbNmxg/+aTdnpvun/9+vVja/7MM8+0tPbVR4M1mcxLq1athASLfEF6msdg2pr8w/vvv4/7778fZ599NmRZxvfffy/4qo8++iipNqssyxgxYgTWrVuHaDSaFOA8ePAgFNVgOtOzIaZtda12b7icmTFf6DPwbL1ly5bhiiuuEAA/O19122234dlnn4WqqigtLU16ftTW1uJf//qXcO3Uakzfa9KkCSZMmMCAyAOJTGyMF+IM1x74nXFMnTq1Qb6SnuGoUaMAGCzB/v37szXGm8C0paGGNuuMbO9egyU3ZMgQoa2V9iKxkQHUSSBo3749brzxRrz00kvYu3cvvvjiC6avCGgA9g033MD0t0tLS22nnPv9ftx222223T4lJSWIwQAfYnBg9OjRePjhh5FIJPD4449bCnIUG/oaNUfkDydkKOjUWASfCbQFgE4nn4oVy74Rfk7s8rfeesuis8ifT2T8GRs3aQmTRMKaNWtw2WWX4aOPPsI777xj6VRQVZUVmgiwPffcc7F//35hCKadOZ2aTACBWolEAuvXr7ewVOsyAhvatm2L9u3bWySGeKOWbHPHkqJKLO7xuZzwSAnUqBorFrCyJ5NZPB5nsin0N+FwGHHw4I6EKBzo0qalcOauW7dOiGs6duyItWvXCvfj3nvvFVi35nOO71xJt2HaEiElEkugVEnDYSUDnRxHEdM1SrMy0pDudQOoFQBXkp+IxWLsGsn/0d6juRi8rAatKxkKHLIm6yRD0aQnVIdFboeM/FW1fl52aFqArQfLgVrAm5kF1Gjvkwy0pZyWj2VDoRBCoRCuvfZatG7dGgAYoMfbxIkTG9w5+tprrwlyAGQ9e/bUQK1QCO+++65QPIlQm7tbWxtap5FhjGWcJsr2eV3GMz6pmRU09HDInfYMtXV4tMoA+BOqxGRV6mM803NfaYjlA14pjpDqENZKeXk5Bg8ejG+//RafffYZTjvtNPz66694/fXXLR2LbrcbgwYNwtKlSy0yIX+VdenSBYFAwKI7Dhh71Ofz4YYbbhDIEzNnzoTL5WJyS9FoVMhx7LRsFUXBv/71L/a1JEm45557BLCa1kC3bt2Eji2Xy4Xhw4ez9dixY0cWjyXTxGamd8m57Ji2SeQRAM3n0r44cOCAre/ds2ePLRlkc7wAbiQw7cwz8eVvWqzllhU4VQVVKnCMKxKs27AJgJYPHlIy8dGy33D5wG7Wz3HC6rT6R2cn7P+EaSwqbYMXZGgHIn1dWVmpO19t4/vcDjTK1Q6FKOe0eTYRgQuhUIi1C/7/bfv27UMwGMTTTz/Nkkxy3BdffLGFLcAnzVSh5a2iogLBYNBWF06WZZxxxhm4/fbbEQgE2H9XXXVV0in3gPYcdu7ciRdeeAHBYBDBYBAzZszAggULbCuzH3zwAYqLi1mQ07x5cxQWFrKvi4qKEAgE8N5771kCzBEXXoYaGIBsXJWxZ88e+Hw+dOiggan8QZPMeEaq2dq1a8dYNOGEA61bt8Y///lPxrL8da8B7JAuFjEJzALpVaoIHtsNJ2kI85K9jqKwYIOuddu2bRg+fDgCgQBuv/12drhWV1fj6aefRnFxMXr16sU079asWYOHHnqoXu//2muvMcBWkiQEAoHjBmyB1CxbAIzFQgFU4ywvJJ21WKsHiMTwpRbC3r17W16HT+YaZWtgHe8jAAit5Oedd54l0a9S3KwVPw4Zubm5WlHHpYH4Fk0s8jkuAjnEn2/cuJFp1dXHz8iyzDTv6rpvdmZuOZQkCUOHDsX8+fMtgC1Zjx49EAgEcN9999UbsP3hhx8ErTVJkvDAAw9Yfo8GusmyoffrgILeJ2sgUK3eckn+Z8KECbZsuaiehNKe279/P2RZZmxRMlovjXTQNt3jEv4umTmdTtx8883sa2oBs0uCzIwBApT59nJJklhLJ++nU+mHJ9ubqQBbsscff5wlocSgpGIkgUTZ2dnC9QGGXrSd8YkC3VevFLfVDjTrgv9Z0Nbj0O5lmw4Gy5TfqxdffLHw+zyIwCe8ZjCNZ0fZsWPsgC7eFEURQHcCv+zWCZNOcTngtrlngPhshwwZwlr+eTOzJc1G5+59993HdHD5PbQrnoO3a7tjL+wlTmrjGkDl5h6QwbTV/sHfe/5eE/Bv17qZm5vL/s7uviqKgmeeeQaPPfYYAzto3/HrZ9KkSZgwYQJ+/PFHdi+2xguwT8nGHiUbiqLUOZyON9LtlGXZAuQMGTKEAfl0LWY5FMa05fBxu7OejFqxw+Ewe83vvvsOLVq0EJJiO8kN3goLC9merqioYOxX2tcvv/wyvv32W2zatMlyvzMyMjBlyhRMnDjRFrCl+8cn1hRzUIdGOBxmhWsyOrs3HNAY9rlSDSvqkLmdMpw6c75tZ5GdePHFF2PQoEHsM5mNZFo8HgMA4s9YM2jLF3M6derE/s1r/9KaNAOzX331FdavX58SsAXEYT5mczgcyM7ORqdOnTBy5EjcfffdCAQC7DMCWst+IBDArbfeiosvvhidO3dOCdimpaUJ3W/CtfCMULcMj6SdIRGO1zRv3ryUnwcwZAx4NppZFgTQwGBi3pHNmTOHnSOyLOPo0aPC8LiJEyciLS3Nwq7ljdaaDEUA78ic+mOuCtfix1hLrIi1xH7FjzgMDXkCCfl7YpbF4Y3OLFobP/zwA/sZrTFe55sHkerSGyYpodO7tmXMYYodk/3t7t272f1O2PiTN998Ew899BBCoRC6dOliIRs99dRTtl0PqYyKS+YcccSIEcjKymIa2rxRLFUW1a6xOmbv+3xuce0UZGjPJ0OKoFGmtTCaLGbasvsA+7cCybaolsz4tbBm2x4ms0D7xHyfzzxTa38/duwYa8NPpqs+cOBA5kso9vqvsFRFZLfbzQBbPt+LxWL48MMP4XK5LDE9sc/Jvv76axQXF7P92bNnTzz44IPC2cTHd1988YXQUXXfffcBMKRG+G5YO3kEwWTNT5nPDACs88ecc/Xo0QNTp07F+PHjMWzYMJxyyikoKipCRkYGk0pLZmHVhRWxllgea4WEChwsKQcAeB0q0p3agb77YAn7zGbA+PGFW45rNs0JO8G0/VsaAbDNcnzYVV7JnMCqVauEzZXmcqBxXjaAPULQwWu/ybLMdCC///57dOvW7bhayP8K27BhAxvcQda/f382pT4cDttO9zQzbcnOOOMMYbro888/X2/x7vbt21s0sI4ePYpvvvkGv//+uy2wEI1G8csvvzDWJwCLjlhubi7GjBkjVAQvv/xydO7cGb/++qtta2o8vQCAARzEIbOD5corr0QwGEQikWCDhOyMBnTZ2W233YbffvsN8Y1ata1a0dxKJJ5goulHEmmIJRTW3gpo1c3KykobfSTxa7POHVlDGJR0X5iOnv4e7733Hqvu5uTkMAbMN998wwJ8WgMejweRSIQNKbv00kuTDvEpLi5m4Dmxm/6MKYpSZ/sfrSlD3kRr86uFC7WqEz4pxhhwlCQOGDCAsU4ooWNT6qEgQwfr6MCnRKxt27aMUdKjRw/GxCA7qBjgCx9wUFJhBl0ouM/wOIAqK2h74MABXHnllfj6669TJhC8XX/99SguLsaxY8capIH85JNPsmDK7/ejsrISEUXCxMBjyJZFUK2hrFredu3aZZExqav9uXnz5ji2S/v8DqhssnBCletMkisqKhDRfT09hzfeeMMy4EhVDQ3sU1prYBK15NlV63kjX0vmcDgQi8VsEyzZ7QOE/NNgEPPmhIoEkg8psrNU7eCkyWdn4XCYJVfUUcHr27rdbgwdOpQVLs8880ysWbOGsTrPOeeclJppxNzySHFhYAhv/CCWPwva+pwSEAOOVRpFCGKOA2CMIzJ+b/F7VDFdI+93ly5dannfusA/c+GDfNeYMWNYckfPkIA8t1NmGsfm6wGAX3/9lUm3DBo0CLIsC9q4iqJg8eLFttI0VBQBDB1hGgJIbMtDSiYSkLExYl94o45jL5c40XlnBx7wgNVVV12Fp59+GitWrGCMNd7uvvtuBkjxw0P5LhEykq4g69OnD9q3b48nn3zSKk3EwA3tOmfOnFkveQRet5POTLrXlKTSe/Xv3x/ffPONZeq7ChnxhCIAC3ZdNbxRPDRw4EAsWbIES5cuxcCBA3H33XczFtSqVatw1llnpUzSMzIyMHXqVDYghqQRvv76a/zww4949uvtqFF3obdLG36Ynp6O22+/vc5uJCIECKCt6mCxCrGmf/31V3Tt2pXpmJIdUzUgoEWGPbPTrbcjV0VVfBttAxcUnOnejUOHDgmFFOqGS2X8/k7AGDBDZyVJJHz55ZcYNmwYFi5ciJdeegnXXjce419ajKNKOoZ7tiJNqn8BXZZlZGRkoFGjRmjdujU6d+7MhvHUZbx+/ODBgzFgwAD2s/LycoGBSrEab6kkzehck6DC7ZDhcwKIgp2XgNbdlSr2J8YaYMjM0HlgLnZGVKetj6S/u/zyy5nUEKDpXJoLWnYzAqh7xQXFtv2YXNOxsnJU6MOJy5Q0dn1elwOZ6WkAKgSfZSfXAxi+nwem+FiQLzCza5AURPWBYnZnNO8XiW3aqiALWT4tPq0MR9HE8leGffLJJ4iqTYT3p2scMWIEPv74Y6iqipkzZyIrKwu33347pk2bhkcffZTlWrNnz8bIkSPrxUSleSbmmIPW9fr164UBboC2PuMRHXxOaDF2jf7sfHIcYcWIVdNcot9skefDC1edisIMK8GIzAEFCYizIdZs2gHAw+6LXXHHziorKwXfvWlfKbRWdxVeKcFejzc+PuCHV+3evdt2IOGUKVMwffp07Nmzx3Y49p+1w4cPC11SZv/A51bDhw8HoDHHv/rqK/z888+IxWLCmQpoReDBgweja9euwrwLMjtZNOrea9GiBX799Vf2/bFjx7J7RrEQf67bDSLjTZW0n7vsCjV6oc8cu2/btg3nnXceioqKBBIOGT+bg2efB4NBVCqUK8o4UhXBwaOa3/I5JQ04joIN1ps9ezbzLx7EEIeMo0oGPl+xFRee0cn8tiesDjvBtP0bGgXqrQqzARiMp61btzJwxoEEZFlCli4kbW5l5YOFJk2aMBbcc88999+iE8TbsmXLEAwGBcD2wgsvRCAQYCBCPB5PWoXnE0AetP3pp58sbcqrV68WALmGWEFBAa644gpMnTqVMeImT56M3r172wrqA1Z2WGlpKQNPJUnC1KlT0blzZ4RCIQt7A9CS4C9/WAtAm8AKWNlyNPzEroUO0A40O8C2Y8eOjD26fPlytnZoQumxkBF8JeDAxgOVbKIw0zrbvduQ44DIuqBAz5zI0eFhTlZTGQ3H4DVtyXjGE9mQIUMY2yozU2MbmpOAjz/+WAisAS3ACQaDbH1ccMEFfxqwBbQhK4DIlOGtefPm7N8JxppwwKtPzqV1bWaayLLMdCWJGU5JtAyVsRvMCbf5dV566SXh6wOKocMlBBwJeyYtJQiZekufCgncfBqEw+EGte0C2mejpPiZZ56p8/cPHDiAYDDIEpRrr70Wt9xyC7xeL76NtsVnkZNQoQcr3bt3bzCrlrdQKGTRnUymmce3ch44cIA9X4ekWMDUVLp/ixcvZsyhBBxserPZl9XAhSickKCibYHGuCK2B19gsQPBzYOPeGaBOUlt1EyTR5EgJm6y6WuHTXtXaWlpUp8JpB5cxwO2yZIDSngff/xxYchkNBoV2E+9evVioG67du0sgK15bdCwm3SHqks/GPuV3vMSbrwuDzSQH7QbNpHMaP8eKzfA31TsJv4Z8XvUvB95O3r0qO0eMEupkCmKwgo+ZsvNzWWFDMbkI1aPQ2ZMWztGpnl43IABA9iwJ7Iff/zRFiwh+RHzIKt33nmHsS3p/h9SMlERtrK2SRfSyzGj3EnkHMyWijkOaIAD+f5Zs2Zh165dCAaDwhk4ePBgAMYUc4fDgczMTKxYsQJvvfWWANg2btwY+fn5bE/Fuet77rnnBFkCO6Pp2S1atGBnOTFrx48fL/gUYqzbTX2PJhRLcYBYtGR8gZs6Avhi16ZNmyDLMmN3AfXrHHI6nYLPLS4uxhn9+uMXZ1esiTfF5kQhqqQ0TJkyBffcc0+95KNoXfN+MgYHmxifm5vLZJ3efvttRKNRrF69GoD2vEjP9vx+9sVztw6QfrTyD+xO5GJ7Ih9R1cEkC84++2z22mT8fudjGH6YX1yVGVC/bt06AJpEAqB1FxHzrCzuwkUv/IjfE/moUNNwKCHqbZJ169YN06ZNE7rPAoEApk2bhokTJ+Lqq69G37596w3YPvLIIwywHTNmjADYfv311wJg2759+5RsVDuj2NWpg52Zut+kzhSyVMWop59+GoC23qlTh+SozGs/Aid++uknBhCZ1xYvHXP99dcz1h3/LO3OLlp3Lsm+gEvt01t2H2DgT6XqZX7A63IgK0MvuvBM7HicnU+KojAmMQ17TDZ4kl6X754hnXWzxiYZDStt3bo1u/95GW5k69dF+pnJLBQKsXyV9y3hcBglJSUIBAIsX62oqEBxcTE+/vhj3H///UIR5csvv6yTtQ8YQJwZgJ4wYQLKyspYRwJZ48aNoaoqu7/VqhuKojLppCKRwCnIIZCNOKUperRJXpRhTFvuGR4oM2KAhgwiW7VqlZAz7q/U7r8LCW7Qpvh6iqIgLU0r/G/dupV19Ji7XMmcTifzXam6lo7XzPkJnbd2hQ2eqHXuueciEAhYOhLp77799lsBsKX1Q/I6ZiMGN/kyQOtk4LXryYRYrA6mLWEY/OBKMnpG5hwuWSGGjHwXYI2tqlQjDz1UUYtjFdrayvA4kZ+pPfeDZdrrHzp0yJC/k2Jo7tCKBXO/X53y/U+YvZ0Abf+GRgda0xyf8PWxY8fYIUstLOn6pEozG9LcKjR8+HAWvNcnYP4r7NNPP0UwGBTYNGPHjkUgEBAYozRlNpnxFeUaVWyDePHFFy1aeIqioLi4mLWc/Rnzer0499xzMWnSJAQCgQYNBCPG50MPPZRUtqBVq1ZYs0NLnpv57CturVq1YgCI+XArKyuznVx7xx13MB07QGPV0KEQgRPxhCJoKAHAvJ83M2CZPueuPftADDu/Q0yEPdCCA3NAQCCqWUcxlVHCSp+dX89vvfVW0r/z+/246667EAgELAAAoCXIwWAQZWVlWLZsmQBuT5kyhU0c/bNGoEKyZITX9+VZEz5Z+9wEFq1fv97Sgk3tOKeccgoAjtEHlemi8UUb831/9NFHha9VFTiYMFghCTig6IhPVNdOMw8ao0M9y+eyfM/O6ls0ocSzqqrK8rl5e/fdd5keo9frxSWXXII333wTM2bMQG1tLSpVzbeFVA/cbneDdI3trt28X5PpbQIQCgOxWIzdOwcUFtDTvTInCLxt2bJFCPji3N8QMOJwOFCuM3AypQh7fQJt+eCdB1OIHZgKEDTLVLRqp1XZ0yVx3ztMg7YckrXVb9OmTbbSHmR1Je10r5MBi6qqIhgMssB54sSJ7P341+afIw0dI2vcuLGFnUFM2xyfmzFtCTwhAIMfzsUX7QiodDQAtPWnaWBAaVX9297N78e+NvlhXibisssus/z9q6++avu65pZzSnQIhDAPb6ME0+2U4dXjEQUSk5qhBMqOtXXmmWeyZJDMXLzlddyoO4b8Ol1L37592R5TIWH2Yu0Z8W3kxiwAA+gx5ByMtZsMoKUkN5mm5z333MP+zRd8evToAY/HI8RBAGwH2g0cOBCBQAA33HCDFu9RB4XJ17722mtCsYK3gwcPsmICDSjh9312dja+/vpr9jUxigwWoAEoReOKZeCdGcD68ccf2b/54iT5dtIA5M9nVVXr1f4ryzICgYCmJa1KOOfhz7ApZOj/RxQrmzGZ8QUzkWkrC9fSu3dvBnrNmDEDixYt0n4vnkCJosVh/TqLw17IvLov/GClAapHVAc72/r16wdATMiTFePNTFvqGiImPr+2FUVBq5N7YV6kM8q5obbVJimr7t27A9CA378iPo5GowgGg8wPTpo0iTH14vE4HnroIXZvnU4n/H7/cb2v0cavrc1cnawSMbHaXnvtNdu/P3z4MPNX7dq1A6CdpcQ6NQOUEdWJzZs3M/AwWbF19OjRgswaXxS0Y5Ib4HMS0FYvIu0sMYqBFaqXna1pLgeyMzXU0OwTyN9u2LDB0q2QTPYrwYHhZKk0NgGjaHDKKacYvt/hQH6WPtg2lmAFY3O8QfeRiEjmz/Dtt98iFAph+PDhmDZtGjtzNm/ejGAwiHbt2gls6lWrViV95kBqmTa3220hC7Rq1Qo33HCDNp+C872HKmvZWuvQSNSZN8sj1McohpLd2hopLy9HFSe/QGd7XcP9AC0/4IsOpTHtOl1QGHM7AVloqV+/fj2LCb/88kucdNJJAFLfr379+rHXSBY7HI+ZY+0RI0awjqIHHniA5ZNkixYtsuS85g4yu1ijb9++LE9ryPBjkgkEjOdhBpPNg8jMbx/Vp3l63VYihddJMkTW/WY3UNzOKA6iYa0hDrQ9WB5GWUg7f7LSPWhekA0AKA1FWHzNcCVJgUc/w7TBrSesoXYCtP0bGTkEAqyaZGkOPQqtfUtRFAa8kQ5KhpdAG3Gp8NR+MmqTi0QimD9//n/BJ9CCx1dffRXBYJAlN06nk2nK2lWszNORzVo0/MEeVl04evQoc5rl5eU4evQopk2bZmlPevfdd/8yDZ4dO3YgGAwKAfatt96KQCCAG2+8MeXfJmsD7tChAxRFQUlcC0DPPV3TnYvrTp8/sEnX6fDhw6w9taSkxBJ0kDYwn7DTQWwc7BJKq6M4Uim2oy3dsIcBHqSBd+AISW2oyHKLn4P0ksxgAQEhqdrdeKMDhx82Ya5W1kfD6swzz0QgEMCkSZMsDJHxMz/Ac4u1AQwulwuBQKBezJz6GCXAZgYSb3x7C61nr0tm+kK1ulZzVVUVYzIQWEJMTmqv5OURGGjL7REzOEDPlID/MjUNtXAJA6Vq9N7hqCJeo/maczPSuO9ZwSlKDvhhKHUZgdHEhOEtHA4jGAyyRC8nJwe1tbUCa79JkyaGPAQkRKPRlNp5dZnZH6UCbAEDvLryyiv1ayDQVoXXKTJtkw3noteJcMwheqYbN25kAw/8fj/K9KS8wG0E2D49GEyWaNkN6KJ1Qb7UHCCWV2s/9zvFQN6RhGmbkIz33rVrl8CsszNKnu2MB/JSsRwlSWK+v67Bh/x+lyTJVoKBErPmhbkWpi0lojxYxvt29TiYtnl+bU9W1sRsk/xUzDHz/jPL1BDgAMC2nd4O7IpGoxaZF0p0rr32Wu19TS385I9cDhlet4tdGz1fnvFt9k2AlgyaJQf44iQVOgi0mj17NiuUSJKEKVOm4JxzzhHux2crte6MNm3asO9RUpThNdaBIecgsXOSHzbEP2tiI5lZLWRmsDs3Nxdnn302Vq9enbJIIUkSxowZI2iCEiOe9jOBKzxA9MEHH7AkjTdiQvHtn5RkEzuHXl+WZeZbKO70SHHGro/ETfIIqmTxheaOGmIx8TEogWO33XYb+97XX39db8D1/vvvxx4lGwcVP5xIwK0XjOOqjMcee6xer0GSKY0aNRL0umNwWPbZuHHjmF+kOKxcTUMcDriQQJsCEbghS9PPc/78NAOLZJQwk6a2OX5NmMByYtPyhSy611/M+xLPrw4hCicaOcLomq4xScOmGRBr1qxha+z999+vU9IplR08eJANiJNlGdOmTWMxxpIlSzB9+nTmH1u3bo14PF6nRmoyY2CnnvcU5ujdVSamLS8Nxxv5k+HDh7N1cNlllzFA2XxuRuBkUghUrDHbRRddZJHP4P2FXbcC7TG3ZL/uSef2SK1xPZWKl9O0dcDnMXwsbzT/Yu3atUKe1aWLoZdulskymLbG9VBumUwfn/bsggULhIJdYV42ACCS0PSMAVgKM5999hkAI77nCTm0lgnEI2m/KVOmsLN74cKFmDdvHi699FL2d3v37k1KRCLChxlku+qqqyxxXpcuXVhXIyCuifX7SapAxekdxFkoaccD2uoxky9D2/NbtmxBmFvL5D/M8lx2duzYMcFH82xuYm4nVEm4B6tXr2bEKSogEThqd0aTka7r/v37kw6pa4j9+uuvQtxZVFTEsIkRI0bg0KFD7Pr4mLC8vBzBYJD9LXWWpDK+uGiX+9kVEc3SZCQ3wuvZAuJaUUyyFwAQS2jP22OTI/pSSJvNnDkzJZnFzBim3JGfO7Nx5z5U6kNY8/3paNdc+5vKqMqKy127acU8l6QiTScrROL2uMUJS23/q0DbZcuW4R//+AeKioogSVLSCvIJs7fNmzcjoUrGoCK/DtqqDqb5GTNVRjMYaFP3wUGaXYBWkUnGYjoei0ajeOqpp4RhXJmZmZg8eTKmTp2atM3KPPXw+uuvZ61LlMiJmrba5+UnQ1JANnHiRCFJA4zJig0Z4MHbwYMHEQwGhXa26667DoFAAHl5eZgzZw57f6/Xa2k5S6X9s23bNjz0UDHKdH3Kvh01YE+FBAWSAHzJssyGtzz//PM4cuSIRafnzjvvtGVUUQsRzyY4Gopgx34N/PXq4Ov+Wo+lQni0XDswnVCQk2YEFTIUFtyZwYL6VId5e++997TrgzXwIJs9e3a9X8/n87EiwYgRIxBRHVgVb46VsebIKyhkA0f+KqPDvq5p7IDGcjVAWwcKM7XDldr6AYPJRYwCSnzM7cgOSUUGY7bJQgBsJ9NAe+CgLo3QWDaCpXBUZDonOBADMILrrPQ0BvbaMW2pLZIfdlGXXXTRRQA0EJFP6pYtW2YBXymRkiQJ1157LQKBAA4fPsyKWXRN4XDYFgSuy8zBf13T2vm1TkkTL4/gJV3UOgaEkUW4dc/vV/IFoVCI6dl2amIk+RT4KZAFBiY9Dz7ApudKA+PsCmkAcLi0HACQ5RKdgtPEtHXqAI8qG/7h6NGjdcplmJmvvC1atEgAHZOZqqrC+9jJALhcLkyaNImBjvR3dkaM9y5tWzBAj9YUacwl0yZWdNDa2QBR2wJ9kFx1NMFacXmzA+XIrIUV8X15pvMPP/xg22pofn1e2gcQE6Vk/o2YyG6nDJ9H82cKZOZveDZysu6LPn36CKD74cOH8ccffwjndv/+/REMBlkBb+DAgXjwwQdZAsb7v73xTMRVSbgHdH/4ad/sGasSK47xbYd8okcgtFkS6fPPP9d05EyAVGlpacqkm+KjBx980KIjuHDhQgCiPwa0fXz99dez35s/f74w+JFPuEn2ADASc2LgEfDSo0cPVrzgWYAEKkRiZnkEybL+zUMh//nPfwLQik0EHBOQnJubK2i51hdwfeedd5jGZztPJfySlshSYYvAoFRGxYe0tDSLpq2dmQdOHtNZtnlydVI2fYbb6vMIWPzjjz8AGF035lZknh3JxwmAdn7Q/uPvP7GZZ/9yEEcSPrgRx5xJ56FPBy2WNDNtAQ146Ny5MwBtMNfxSIn9/PPP7Jk2btyYFTapyMqf/506dbJMhW+o0flOeU+LxloRKmLz7MyFUf7rXr16sfvXsWNHtiaM2FO1vC6tZ95yc3NZsVm4Ti5msiMt0Fpzy/bnDw0q4uPBGrhYPOx1ycaATFNMQeelGUzj5XwsbH/GYObkEahdW9Leh/fB/FqJRKJs4JXbKSMnU9sfkYTEGOXmYjGB2vR5eOm7Q4cOsXOH7/pxu92YMmWKQI75+OOPhXO/pqZGkD0jozZ383lvJi316NGD5U70DPn99+turRjgQRytG4usZbOmbX2M/Gt2nhav7N69W5D+I59LrOZUlkgkbKVt3JLC1pNi0ie2Kyhcd911AFJ3SDqdTpaX/1m2bTwet0gG0vN3Op3o2bMn664bPnw4+vXrh2nTpgms8ZkzZ2LRokW2Q2zHjx+fNIa0k9Xgu08ATbfaLDFGz8O8t80FDrOuLTFt0zxW0JZkRZIVSR577LGkDOjLL7+c/bu2tpatf55pu23vEYR1Nk5hbhaK8rS8IZyQGSCcnaedyW4ZyPVnpLyeE5ba/lfdterqanTr1s12mNQJq9vMbQ5NsvRJ7nCwRIWnsQMGaBuHw6JpZ8fqys3NZYn8rFmz/rS+bUVFBR555BHMmDFDmFw/bdo03HXXXSmBLLMkQr9+/QQ9QnKQ/OFJB5vf7xeAKUpyrrnmGpxxxhmW93r88ceFBKw+n+uhhx4S9HuuuOIKBAIBNG/eHIqi4KGHHmLXOGDAAEyePFkIJNauXcuA8WQDxGKQmYPvXMQNh4JsEccnhkSZ4kXx8waI2alTJwQCgaSMNLpGfm0drYpg2x4tWeuQGYMMBTVwoUr1sGExAFAZ1hhCLiTQKMtgQLuQYAN37PQLiXGRillIRmtQAG1Vh2VCJq8zVF/r2bMnWzMqJOw7UmJhG/wZIw1gILkGkdvtZu+pQGIgt9fpwKWDtUEKRxWx1REQ25t5o/vNa9oC4vNNxuzy+XxM5+6MNjmsTa9GB20pcY+rBgMLMJ5NVqaPMS3NSUM0GmXrvKEMHgJKKImcMWOGbcW/adOmmDp1Kh588EE2pCmeUJiP4IGbiooKi6ZxKps9e7YQjE2dOrXO4Wh20+INUN3QO+M1Ke0S2JKSEsRVSRjy16aDMQSANCxjsRhj2g7ubvycZ3vw64B0NBOJBGPpUVBOfmHo0KGWFjTA0Fn1ex1CO6fDFJXQWaRKxjXUpcdFlqqoRfvfbiAHPyWdug0WLlxokTu48sorcf/998Pn8wmFt2RGAEuzgmzGekpAhqrWLelgMG3rH7YVFWgJSE1cFUAASl42btyY9G8tOnWkf6oH+PxZ9PPPP9uei3zyGgqFWBBPCR5JsxD7lBJ4/rV5tpVPZ7EmIDKZeaZvspijd+/eAjv0jTfewJNPPglAux9UHJVlGVOnThUm1cdiMVHjEQ4cVPy2HQ40HBAA0nRmsAKJdbDw56gZAKHncuTIEWzbtg3BYFAYHHf++efbfjbeOnXqlDI+4plHdvII69atw8SJE9nX33//PT7//HMoisL29u23385+Tt8jxiCfAA4dOpQ9D54F6GBM24Tw3gok2wSZNz4u69RJ81GKorC1c9NNN7GfR6PRpHITZPPnz8fvv/+OSj0RPaV1E44NqF3zb7/9xgp6dsavucOHD5uYtvb7VZZlYRAg6dm2ykxelMn2GSApA751n0K6/VRIqK6uFvTQBSBAkgBufyfroEhPT8cxxYe1cW2d3ze0DYqy09CtYysAQNgGtAU0gIyYvWbGYV323nvvMUbXGWecgRtuuAGAxog3F1kdDofAPuX9Bn9v6yrwmWXhWjbWmG52LGZi0pKR/uxVV13F9DApPqV7TmCqX8dUeAZvo0aNcCCRiYWR9qhSdDmb0tLjyp2iJNGSBOczyykZpq2FNJdDOJd4o3gxGo0KcyD4wjJfKPV6vYjr8ZKLA5EplKBYhD+DiFWflZUlFHPcThmZaTRfxdg3du3digquyC7uJSLjHDlyxAJYFhYWChJ1dP/5PKG4uJh93mS5R25urhCf9u/fX5BcoHkQfHz701YN5PRKcRRkiISI42HaUuE7v1CLfw4fPiyAtqzjsJ4EGLMeKgB4ZIUrPIvFNvo3rZmVK1fadmfaWZ8+fVhc/PLLL9fr+uzMnP9fccUV7LydPHmyZTYBYBDPbr31Vvazj5ZvxC/RZiwvOu200xAIBFBUVIThw4cjEAgIBUxAk9XgmbrmzsBmzZqxwhZvdIaZ17XZP8dMfomYthRv8NZYjwHtiHfUdTx9+nRbf8OT4Yj8BIiatgfLw6hJaOutaaNci7SMx+NBaYUWr7sdEvJ0IkFdQ41PmL39r7prw4cPx8MPP8yYUyesYXbgwAEWPDiQQHY6JRQydu/VnFnC1F5D7dGA1XHzTo+3wYMHs4DtkUceOa5r3bt3L4LBIJ5++mkWxHft2hWBQADjx4+vMwibOXOmcDBkZWXh7LPPZkk3tUYAIihYo7d7rVmzRmDbrlixgjm1oUOHCtqzlKwsXrw4qbYsWW1tLWbMmIGnn36aJa4jRoxAIBBgCcjWrVtRXFzMfj5x4kQGjpBVVlay++90OpNWTEnI3wEFfq/Rsh6HbAsu3nHnnVgQ6Yj5kU6IqTImTpwoaO7YmaqqSHDSAwCw71gF9pdoIHuL3HTky9phdFjJEAKYGr1C55IUNGtkHBBuKQE5icg9YADMBKYnMz5h4yt7UTgs9/R4pC5WrVrF2HOAFpy/9NJLKYOShhjp9fGDN8gomDz11FNtCxAel4w+7QoBaJIFZokTO1MUg/kkQ4XTIbPkMBljiLdwOMxAvwv7n8aSIJJHMJhdsgBI03VnZ6RzQxTE514fVkAyI5bRoXga7n9ohiVYPf/88xEIBHD99dcLQOratWstrUk8OHX06NGUmmdk33zzjSDBMXny5DoBW8AI3vr27cv8DwHHTknlkjBD58qOFbZo0SJLdb7nGf0sv6eqYJq2J7UwgDC3Q2YtzcmCLWJN0mAdAiHtJtOmp6czeYSsdC/cHGjrMoO2+tdxm+IND8ryASa1daUCd3/66Se2h8ws0XPOOYe1rpWVlSEYDFqGrAGiBAPfZpbMZ9bqzyDb52YsFcDwcXyrrPmaaEKw22ZCcDIryNaKNbX6AMCVsaaYH+kInZjBgERABHVUVWQpAcY5aTekqrq62lbzmzdiphPo1qVLF1YoI0YHsTp5wMXQNZSRrgOiiiqhoqKCgSPUJQIk1/AEtCIbf/5E9BtBZ+3ZZ5+NadOmWfbm2rVr2f3IcGp/syeRLfwOnS+kCQkAaRwzmAfQyMyJEp1rL774opAkEfhqN2yUjOKIK664ImV8RIXi3r17C/6YbOXKlfD7/ULr5tq1a1mrek5OjrDXqPg1fvx4AEYLJSBKV9D54ZFVA3CMW5m29Tk7CZh87bXX0KNHDwAQyBz8M/7000+TAmA//fSTRaevd9e2DLSNQWY6uqmGWdKaa9asGWpra4WzMtW5yRfYCLS9/OzkWt3ZPu0aM6QIWnm0mIrvniB9XPIdPMDIg/+edFF+IZV+/NZEI6iQ0N4bwtjBmjZl0xztWsOqFSQANJ/Z0MFwgEZ+oELOqFGjMHToUJSWlgpyaMJ16+AQrUd6zhMmTGC+RZKkOgHQuEkeITddu89meQT+PQBxaFH79u3Z/ee7LgDjzCRJOjoH6LXWxxvjgJKF3YkcFBZqMZt5IBMvzZCsGElFhmRAnx2ow5vX5WBa6+b4i//cPIubZ/vzwJ0sy2xd8We6Vz+/KB6l5w0YgGY8HhfWpNshI50NQ7Vfq2YZFsAARkn66z//+Q+bxTFnzhxb0LJbt24IBAJMn9nM/J8xYwZKS0vZADKz8X5+2LBhFj1UWjN8HLX1mBY7pMkJFGQagJgEY2BpQ4xA28xsDbArqwwJ8V/CJpZKZXasSK9DQpqLBtvavx7NfiCWKcVLqeaIAGADwA8dOlTnUEw7M8fAXbt2Zc+L4lTyhyTryFteXh4CgQDy8/OxJtYUGxON2XDlX3/9FcFgkP03c+ZMxqg3S9jNnDkTb7/9tkXyKNngvmTGZEb0c9ORJvpviufS00TAHwBaNy8SXoM3fsBmsgHrFEuQP02okuD3yyKa9jsA5GSkMdC2VnVBVTVfWB7SziqPU4I/PS3p9Zywuu3EXfsbWWVlpcF2gKK3PmvOffd+DcD0pGuOibqwPE6ZAX1Rk+NOpSlKTI1EIoGPP/643te4fv16BINBAQgZMGAAAoGAoDOUyl5++WVLperOO+8UmFB8ZczMtFVVDQz0er0CQ4wHZLt168aSlJqaGpZUhUIhBINBq7ZTPI4nn3wSjz32GAsU+vfvb6nSvfbaa6xy36hRIwQCAYsW2Z49e4SBV6mSnAh73trvsCEAqv2ADcnlQwQuJCDjwiuvtby32eg+mx3wlt0HUKJP2G7TtBFObqwF+UeUDCGhpADMiQTaNC1k33fzTFubgIBYfanYL4B4ePPXqEKCN8P62RrKtv3yyy9ZAA4YnyfV4Lv6GonlA0YwyxsFk2eddRbXhkf3SoXHKaNxlhc+KQoVEhtyAoisCcAAgEtLS7lBZNr6IBakuVLL6x+ya1Illvx2bJLFkqBw1NAIBLQgj2+hoqAvzeNiYL05kTS3wjUUGG/U4VR8GemMZdE2ALR7QAMAefY3b3PnzhWKVXFIGDJkiMBg27t3L959992k77t161bh+U2aNKleUhf8/jznnHMYI0XhEiEvlw3RPbQDKn///XdLq2fEpgs/DBdicEKCitb5BvgkSRI39dl4T/5zUwu2nVSM+ZrOPPNMpoOVl+mDW+JBW3G/01kUtcm7+ZZ3vgWc1rf5HDADocR6NLc3vvXWWxYmtl37PyXWBGgB2llDCYIZPCMQIDfdzRhNgPHs+HZ7c2cD03a1mRCczDK9WnAdVWUoiorN8UIcVjJZYYX/3GIRxfpZ6f2pDRsQ9eGTAYWffPIJjh49yvwVgfm8ziz9La1xHgA2JiPLyEjzsmuJxWKsmEVTzIHkg7zIevTogeHDh2NbPB9v13bHH4lsOJ1OTJ06lbXdmu23335jie6FPTQ9xX2K+HyYLneWkVARaJuAVK/ugJ9//tn2+6l052688UZbtk8yo704YMBAVqRXJHFNLVu2DE6nE9OmTWPfI3/Ls5D4/UXAGRVtzEZno8dhaFzWxBKsBRog1rm1tdvcbkv7vry8nAG04XBYkGXg96tdx8KmTZsYyAYAlXrLeLvG2aAGkzi0YVL0WskKu7Tmrr76agAQmLZ0ftjNgSBLqBJK9T3Zq11h0t+7fnhPFGW68P8u7IZsnU7JA4s//fQT4vE4Y5RTHOr1eoWYtFVrUe+b9juBDrwUB92X64YZ95TAx2rVhT42DHtAYzDTrISamhpheJ7Z4vG4ZfBjx44dMXv2bNtnx1taWhqLAylmXrx4MfM3yaRqqOADGHuXwHoaiEpnJuUBdH8IhKH1c/PNNwvnNQGvZARQtinUfAaRKTZu3IiysjIG2EfgZGfA4cOHhRiHJyicfvrpls/jchkyB5le+4KwuX063y3GUB5ncnkEktADxNgkmb+Nx+Ms5nZzkj5EBKIiLN8xQc+/urpaiPtdDon7O/vzj4Zj89IktK6JrFNZWYmOHTsyySb+3DbbP/7xD0ybNk2QWyF79tlnk64rsgsvvFDo2CEjEhLfHVWrg16ZLhqCp722E4pt3FGXUVhYWa3l6KG4qQALQ4PW3D0k/J6pS5HviPK5JLaelCSEEJITpDOf5jLUlWfJssx8WH1IEbwdO3bM0kVKEjuyLKNfv35MNqdt27aCH+Dt7bffFoazV6peW1m4UCjEgHq7LpEdO3agQvGgRJcdmzx5su37JSssKarEzsg0GtrrEq85rrdB+2xA20a52drvJBlENmXKFBZ/2XVFmGdHhFQ3+C6NasXJ/Fum18lA2wRkxCGjqKgIldV6UcLlMJi2J+QRjsv+T9810jDk//s7m6IoxgRfKQFZNhLxirAG3ngztKDCo08c1JJ1ctzWwzKVlisBtxs3bqxz0NPSpUsRDAaF6ecXX3wxAoGAhRGZyt5//33LABhykgRsnXLKKYKDFJkeMqJwMDCLbwMMh8PCYVNUVMSCUkqqyKm/9NJLrKXwxRdfxPTp01mydOqppyIQCAgVWNLqoqrihRdeyNr8FEXBvHnzWGWvIYxQCug9OihCoG0yjeJDZQa48tm81CxWwGCYmNkke48Y00o7tmyCc3pqrSCVqnio0JpyyyoKsoyDyC2rIOzGrGkL2Iu62xkfWJmZplt3/GH+9QbdWwrcI6qVTQTUX08vmVFr0NChQ1MGiG63m7EwKNB2cMFeU4+2lo9wEgkEilDbDml1HjlyhCUwBJ4mGxxhNyigSvVAheZXCjI9BtOWadoaCQEFUopiDKPxuAxmrzlpICkQYpnYAdmpbPXmXfo1unH33XfjjjvuSBqwkWk+kwMV9Eng5ur89u3bbRl+5eXlrAgDaD6xrvckMwerxlATajmUGNMWEEFucwCoKApLFMnC0YRFtoD0bP1SLUveyOx8Bz+pm9cP5//N65rSMu7VqxfTOW6U6xdBW5NmKyV8ccXqB3i9XJ61xl8XDybecsstwt/bsR8BTQOO5G7o7/k9SEyQw4cP4+WXXxYYO/wQO+GcUSV273J9boFBQ8+uf//+7HtmnXZe36++xmvSH66qZe9jx/7j7xnPsqVEjZJoXqueL3aEw2HbKeIbNmxgMiKUAOfm5jIdcT6xpXOUioWKavh/t1NGBjFt9esjoLKkpIQxo4C6Czq9evXCQSUTKiQcVdLrlCo5ePAgu3edmmgxkrkIQsldZppRkCHmi6JKQvzJt9zG43G8//77DdLG5weVNGQoIzGe0tPTsXmb0cpsN2Ud0NZ+IBAQfsYXr0kTkC82kHXu3Fl4DrTmfG4Hk0eoqhWTXLsCLX89vNG+3LJlC2PD8jqIvI8uLy8XYtB9+/axLpa0tDTEVRk10JLNlnk+piMZU2VEo1GmU79nzx4L84vf49QSzu8fOj/Mn4GPJWtUJ1RoBImm2faDqQCgW8t8/Dh1KC7t3RZ5mdrv1Zr8+hNPPGEB9QYOHCgwBrucLOql0tnerFkzACKDNKRLIHQoMva2xgZUoUJGt172hQ5AWysUI+/atUsorpCVlJQIRe5p06ahsrJS0JdOtTeJPHL11Vfjpptuwi+//FIvjVuKjyRJYgUFKhCSDEUETqiq4ZcIlFmzZg2L/5xOJwoKCpiOJcVS/H6nuKd5nt75oO+FVatW4fGXZjMWZER14osvvmBgFz/FnvIXwF7WpnXr1mytZafbF4XNTLy+rbPZvx1IQJIkTh5B3Iv8+QAYkjR09pkLS7FYzIjruDOdlzkAkk+wN8ey6W5xKC4B6FQMI2CQL5iQXzt8+DDrYlm2bBnGjh3Lfses/cybLMu46aab6t0ZRTZq1KikknWACMTxluNzagM3TSSbhhqBthU6w7HGxIhPwNCwTtWtuG3bNqgqJ1/mMOKcDK9LGAxqNjNxSVEUIRbjSSl21rNnT8YC5TWI6zKzfOZ1113H/MiUKVOwadMmdi6RZrfZePYsraEqxYNIJCLMlJk2bZqg+2pnqgrMj3TCl5HOGHTOuUkJG3SOU2xA94pnlqfL2nWHoiLjgmZ6ZfqsZ0e6DqzbMVups4kvzj700EPC7/BdTIDRkUJxYVh1sUJJhtepn++6vGae1vEWqtXWjc/jRH7WCXmEP2P/p+/ajBkzkJWVxf6jwO7vbHSgEVhLyXJEPyBdOu3eyyWGLv13ZI/BqiFwkgJfO/P7/YxNM3v2bNtK0ieffIJgMCgEc2PHjkUgEGAtLfW1BQsWWHSGLrvsMni9XkHK4aKLLhKABHPCwh9wTqdTqLSaQb2MjAzB4UUiEaafuXbtWhQXF7PDqU2bNggEArjggguE11ixYoWg1TVlyhTk5ubi6aefRjAYRHFxcVL2Sl1GwaBHHwbmrGNy67Kfjfc5WlFt+zu8WQct6H9bVcuGuhX6vSjM1Rx11JToUuDmllVWoQMAr0NNybTduXMnC9qSDbwztzObn/Oeg0ds11h923HokK3l1gsPaNXW1qYMCFMZL/pOLKNUFXdKyOwGP/Tvovm9o4qxf086SWtzpOCf9JVKSkpYGzTdf/IV9RlGWK5qAUmWVAtJkjimbQIJRTW0YblnUVpayr72ODnQ1vTcKSkgqYNVq1bVeT1kzzzzDHu9mOqolxYtY5C4jCArARlr165lwTxv69atE5hb8XhcSLpuv/32OpnrvBEoTucWtbJTMuN2SHA5ZEic5AkZfx1kEdPzqwxH2MR6Mhpa2MhjpeHSORBTHSygbNq0qe2kXN5I11RRgbmRzlgYaQ9JklCrv0XTglx4HZzmnQmUpCTSTh6Bt/LycmOYnqlNk/+d+posa/Iw06ZNswxTc7vdOPXUUwGITKHmzZsn9R+k8SVBRabXCUmSuAKFZLlWM8PHkEeof/KYoTOuYqoDf5QYgKBdiynvR/m95zLtR75NlweZFy5caDuokjc6C2+44QYGmPOMWzJqXRRaZJ2yJUnk7xe1YgKoU1/4hx9+YH67PoyPRCLB3jMrja7BIZzLtC99nKQUgSQJyMJALV4yZPr06Za4JabKtuu9R48eCAQCuOWWW9i9Jx3I+hgVfiZMmIDfdxugoV27LPlXMygcDofx8MMPAzCAKWK+8sWL8847T9Atp/Mjw+Nk3VtVtSK4TmePuc2U19Akozbnjz76iA1z4tdwWloa2rdvz76mIkF5eTn+85//ANAYizU1NWwathtxZKW54NdlCGifyLLM1qm5mLZ48WIABpBuPifpa3O3AU9QiHFxeX2ZdU1ytbPELHsTiUSwbds24XXMA3Ny8kTfQvuMpCZoPcYTChs21jzHKDa6HDLSoAGY3638DSNHjkx6ne+++y6TC1i6dKnwLNetW8cG3ubk5CAQCODFF19kz4f2t7kIwwNoFIO3a9cOJSUlWLBgQdJrIXO73Ww/Nm/enPkAkgbITjOk4+KQbRl0tC+InEJf01rkiQV0NhfpDGU6Cw4cOIB9YWO9UCGIfGwoFGKFHD5/stsPrVu3ZvkdDe0yGz8k0QEFI3t2YF8TQMiYtqYzYu/evUIhkQZLkZmL6KpqxHt8cdnYW+I+IaCd1q0h00VSfdrvx+FAQlGZhM73338vAL98QZJyB1VVWWckFU+IzPP777/XCfJ7vV5MnTqVvUYqGzt2LNNoNxut43iS4lRjXc7IqzMqqSOhoUYxVGVIK2iQ7B+ZAokVoe3WEtm6dev056BdbwGHN2ale+DzGPvEbDQskKSq6L6THyUN7lRGz+jIkSN1Er8Aq4RN//79mb8eMGAAnE4nwyyuuuoqy98riiJo0QLGmUQ6rjwJQ5Zl5m/69esnALp0xtfAhVq9e/VYKLleO+WrFLsyOTT93kpQkeGkYqfoD0keIcNnBYR9TFbEmr/xGtSEY6iqKhTRzB1UdFYWODS/FIcDtfr68ntdWuFHxxvOGqFhHeGI9rnTvW749YLSCdD2+Oz/9F2bMmUKKioq2H/Ho43yf814kAzgABn9oAvpzAcfN4CIfiev0Eg0qKpZlyPt06cPC2Yp0FcUBa+88gqCwSAL6l0uF+644w4EAoGk08ZT2U8//WRJXtq3b48uXboAMJJASoT5oWHmQVcE2hJIRIMQyMyMOmKjUCBpN5DssssuwzXXXGP5/lNPPcUqnQTozJgxA6+99powIKdp06Z1agaa7Y477mBBoFc22m0A4yAwywv8tsWo5kdUR72HIZgPhIqIyu5jQaYHmRzjy+7vvA4JOdyQDZ9LhlOn2tqBtpFIhLGsqC3KbOYKsiKLgcuxipCgTUxWn3YcXm/MrGnL2++//26rhVmXEajYrVs3tkd4ph+tY55xBVi1jwBgZG9NK/mokgEzYZeq4cTMKSsrY/ebdLGosFPNgdN2g6V69erFJnAX6jkDTQqujsSYri0ggkIlJSXsa4/Twd43mc4eBev1ZaVt3rwZZWVlDFSJwYGampo61zYVenr0Mto/FUhsXzZq1MiSDP/0008seeEDn5tuusnCnKyvURJoDuIoMHfaDG7j26zpGSdkkWVztLTCMlW+XG/R7dI023IdBnhvSKt4PB7WEpyRkcGeDQV6PNskpHpQoqbjgJKFsnDM0MHK9MHnNNaDmeHrZRp7phY//Rr4BJ4fHkXGJ/xvv/12nXro/Ov7/X4oimLbzmfHFOFjDDP4Qn7CgzhkWZQgUWXtZzw7hZIdMmKcehowTZr3uxt2G6/NA+8EEPCgEgORobDE0eF0W36PB+w3bdpkuWb+HlCBzOFwCMAvGf+cqL1RbJGV4dLZyfyZzUu70PvxEg52tmTJEoRV0uOr33qg3yPQFgDmL1xsXL8dQJHuY5+Dl5Pq2PUULIu2xt6EdbhnXJXxce3J+DJiDCq57LLLEAgEBK1WvlPHPBzJznhWud/vx75DRltsXJUsTDJiDhKjcNy4cSyeSiQSjE3PM4f4s9jn8wk65BR7Zvk8zMdXmkFb/XkTi4/Wl52vJkCWGFx0JvFgqDkxf+WVV1ghrV27duyZVOrFxkwpAkmSGFORWrGXLVuGPn36MLICX4yj83306NEIh8PWwnSS9cXHd/Q3fMdBXda6SGN08vEH3bf33ntPOKPNPi9q0ukkWQoq3lJcuPtIBVRoxaV804CkdB1Y+nXLToHZa15HBw8eRCgUYh1zb731FkKhED777DMWS5966qkYNmwYgsEgK07Ksr2EF2D4igsvvBB33303+10CgO2sa9eu7N98wTUWi7G9m6GDUD63g4GF1ElFa5EH5Px+P3w+n+C7qJOGH5BGa7+pDnzTa8bjcSaNABhgbkVFBVvfpAVel5WUlLD4s1GOfXE4M91g4mVKEbQrNNaIQ9+TniTnbUlJCVq2bCl8TlpXlZWVtjMH6L6muY01wabZm16fwC+Kcw2ZLu1rfr5KOBpnbdtbtmwRyEM801aBzGJePv6qrKyE1+tlLfhvvvlmvXKdoqIi1uJPtjLWDL/ENIb6jTfemDJ/JXKS+NmNoLxVEy2eT3dQZ2T9/QFvxGwO1Wg5LOViMisSyyyHT9XFt2fPHqHDtmWeUQzI96dzRUnt/XifQ4QemkFE7H3qrEklr0gmyzIrxlLRLZmtX79eyGcdDgcrqEuShMGDBzPSlcfjEQp6gJZP2MkD0Dok0Hbr1q3CLACKh0grF9AKCUS2qVIMv/nND8lzQbuYCOD0tqEgXW8FqDE1EulzwOB1WQv6rNiRRB6BTJZlBtzG4/GkOuTEtG2aITHZRYpNqbPLzXAl/Xp1eTy/z8t8wQl5hOOz/9N3zePxwO/3C//93c0AyfQDWk/I6KAjGnuG10jGqD26eVujKtsQo5ZUVVXx8MMPo7i4mDk0v9+PKVOm4P777086zb4u27Bhg4VZJssyC9j5tjQCYPnWJXNwUitpn53XJeTBjXXr1tm2X5qnZ6elpbFWqY8++oi1EgKagw4Gg6J2GPdvp9OJYcOGsRaMeDzOWhsB1KmJOXjwYGRnZ7PgMFN33E5uwAZgZaOW1xiVwCicLHGzMx60MEsPVChudtjnZ3g4bUWH2Dam/12aS0K2jwMFvU7G9LSTRwCMFn+z3l0yUyTxQAtFEkkBnFQFHkVRGKMnMzNT0LSNcmuJ2CcLFy6s9zXS61MgkEwahFgiZiCftZRxFfquRVmQoaAGLtbqSEYMEko0KioqWABG979nC81v7kjksb+z001t2bIlKvTkt2tzPenWiwUlFSGmawtQkqj9u7S01Gijc8osSE823KAhpigKAzR4lq+iSozNk8yYBicXN5t9xfDhwy1M02+++UZoMRo/frytLloq4zsDzGuU7guBQw6OacsPsiIj35iWlSd8v0Sf6FqturAq1hSHExko00H3IT26WF6HDefhQImjR4+yJCUUCjEWBSVAfFGE72DYXVLNNNIzPE7GCAWsoCQL8kz3nvYgscYBkfmZzFIlZ7xGLqD56UcffdTye4888kide9qcDBlSNcY+kClhc2j35rfffkuqNUeBudvEQkxl5HdVSFi+0WAT8cA7nQH89RJzRobKrtHr08CFZBOn6UzkgVr+NYm5fuONN7JBJJQ0AwYzp0mTJgxgNHyACqcsMekMHsylwsC8efOEAXDJ2m4p4aL1WF/GBwHFPGhbI/g02pfG6/m8hqYt3z58RM7DjkQefouLIDegSQjVwoVS1QdF1SQoCCw12/nnnw/AqvdtZxR/0JlxrMwADeOqhEsuucTyN9SW6vF40KxZM1x22WWWdkmecWfWt+QldJg0iN9ngLY14lqi50rFn4wMceCK2UiO48svv8TNN99sew1UVAKMWKGgoABXX3016zShRDTPo11XdqYILFEh/t577wWgsXV5DWhA06Beu3atABoB9lIkZh9kMG3rz6wrys8GIHYvlZSU2OrSmgGB2pheiKGiESTEFdVy1nz1vdaRli5FWaGJzO/S/nbvMe0coXjbLjb+9NNP0adPH7Rt2xaA1n5MhZkLL7wQ27ZtYww28h+p/LTL5cK0adOEoqAZcOH9kCzL7FlLksTaggHt3hA479eZapIkwaMDEtShQvuGZ3PfcccdAIwWe34wJR8jUSxclO1lX1Nh7JjKgbYcAE9yBLFYTNjfdgVzui56nyb6xHiz+XnQVo6iRa6PDRglQodXL5qqkKBwR1g4HGbMPCqUdeig5YRLliwROgno5/QZfV7DZ+bpbFIzaGM577gzCNBiQ7rWcDTBOpDMsnXm/cbHkdQFSb6wZ8+eDMyt79BsnmlZqzqxId4YG+ONMWTocIuWsdkYm5IBcQn4YORcbZtpf5/t0X8updbNTWYUQ1E+T4OjMh3amk5wTNtUFg6H2XNyQEHnlsZ51Sg3i2nM0+fhu5mJVEGxL9/9RMWv+nTLde/enf1+sqJMPB4XinWAVpihPXTfffehsrKSrZN77rlH+N39+/ezblev1ysUnnjQ1qfHQCTBQEA0r3V78OBBwb/wOVdUdSSNn3jjfZehJ6xwsi2mNU4dKjZD65LFz4A1RpVlmQ0grampwdNPPy3sa8AAr09t1xw+SWQOUxxPuUK1LuNQq+s3ZGWkMemhOBx/2cDuv5P9rwJtQ6EQ1q5dy1iTu3btwtq1axs8POjvaLQ56EBL05lNHh28pcCvOmJURMhY66pTrLTToBQ7Zilv5eXlzAmS427atCmmTZuGiRMn1tlem8p2794taAiS8ZOPly1bBkCrlNuBdHSok15Mel4T9tpkY8aMEf6Gr0KtXLkSwWCQMezI4dbU1KB79+4sGTpw4ADTpbU7fJo1a4aJEyciEAhg6tSpOP300/HMM8+guLhYYGBNmTLFllFG5vf7MWDAABw+fNhol9KlBwhEo4PY3JYZ4QFI1ZFSL89uyBdVhnndm3SPkw1GiMGBb74xQHRKVtI9LqFtMifdy5i2kO2ZZakYc/yhyT5bQjygCDSiQItfh6nYtryURVFRUVKm7fz58xmQ/8orr9TrsAaMyaqNGzdm12EG6ekg7dSpk/B9/oAn87ocyJW0qjZJJJj1ychCoRADbKhLfcqowQBUHFL8bCiJnX366aeMaXtmNy2Yp4p/SXkl07UF9IQA2lRnHij2umQ4ZStz1Gy0x1IN6AHEZ8UH7zHIKUE3SsjdbjcOHjMYanZtxHaDBSgYGjNmjNAKXV+jM85O/1bR9wwFY1SIScBgTwBGos5a/zh5GwAoq9KC6p1yU6yPN8H8aCccU7WEKjXT1ljjZmDMnLTwbGi+RW/LPoMVlOl1sqnoAOB1i8WVdAK+TPeenhHfXl/XeqjLeC1HQAvO7Vpj7b5Xl1Fxx8uBtlRcoT3Hnzlm5lIsoSfVdUwA583rMhLd7UcNZgvvp+x8ASvcaFwlAEBauj1YYB7OYWafmy0/P5+xbPjhWSQ1MHDgQBavKCxhVCFJEtMB5vcyPf9du3YJLLhkzJwXXngBiiohgvrJIxgMdx2A4Fh4ccjMr7MWa44p7tGZL4qpxXrLjt0AjIFEfFvlP664lv1eAjJ+/fVXPPTQQ7YJDq8pXFcRivYGMdSqOT3ZBGTLWQIYhVk+yR00aJAgRfHCCy9YzjYq5PCfmdZcQY6fnS0llWK3BCXIBMbxbCy7z0/alKtWrYLX62VgERUAAA1IM8eYN998s9CZRedaqwLN/+Xpw+SoGE2fQ5ZlVhj46KOPWMxHhJAtW7awZ0qgXwwOS4fL0qVLha8p/vbI9QdtKaarNckjELDMm7nrKKr7EmJKAeJ6IPt1u5Zb+WXrzxpl6sz7hPb+PHONJIx4mzFjhoX5PHDgQMyZM0c4J+oCk8466yzcf//9QvxH+v9kLpdLeB2+sHDzzTczYN/v9yMajRp61Nw55GHScdrnI8CZB8PJd5Lf5otGZIpqAJCN/V7mjyNwQlHFAbEUf9M6JiILz6RPdsaVl5fXqWlLzH8AaJzhgMshI1PSYgYmjyAMNzX+rSgKO+8pjxs6dCgAa9GIgDrGYPYa97UgJ0v4mZ01atSIk+nSrosfhhqKJAd7FFOeSp9h06ZNbF3ycQvNLUkkEilJKoB2D/h1VcXN6Ji3cEnKvwUMH0bX5ICCDNnwnQV+7blpmtHHr2lLsgU1kRhcLhcrUDZKp/NIZMbyrHDLNXM5ReeWTdj3iwpyGHObzka+gG5ndE5QPl3X/SYjn1ZSUiJoO5OZBz9fcMEFLMc+44wz4Ha72fDuXr16CaDsqlWrmBZ68+bNMXHiROGsoc+WgIxj1VHmd1577TVGiCD/Eo/HhS5MQFwjUdVZL1kI/j5K+np2Sgnk6cXEqKppbe9P+FGrOozhxDbzDnw6SKpAFoowyczpdLKZDRUVFRamf0g/K0/v3BoZDi6WRYKBxm79HKvQB5BF9dw715/BgbZyvYrNJ0y0/1Wg7apVq3DaaaexQPWuu+7CaaedhgcffPD/5yv7n2/btm0DIOqKAWBtqfT9Wr2FmddE8urAy6FjYis9sT94Bihve/bsQTAYxL///W9LwH3ttdfWu001mR05csQ2MbvpppvYa/PatcT4NScYdIDmp+lgq2qfFPOONBaL4ZtvvkEwGGSajbIs484778SDDz7I2CgLFy7EF198Yft6sixj+PDhLFkbN24c/H4/wuEw/vWvf2H69OkW+YLbb78dbrcbX331lfB9foo3aWx9+umnLOAsyNJ+ToMWqCLPt+gBYqU/YkoGzMZrOVJC5pfFe0vTLgm0VSBj4xYNKOaHPPl9boHdkJ+VDqd+AEgO8ToooOWnOpuZn3ZDqmIm0IcSJWp3Mq8Lu2JQKBRiQXNWVhZ27NghDiLjAC1VVTFo0CDWMpxqUi1vlACMHz+eJQh8oG4GSewCDHOFvm2Odi+P6sPI+KSWt5qaGmOStA6aN81OQwuXBhJvT+Rb/oaeRzyeYG2mHZtkAwC8un8pqwqjmqes6te6ZcsWVFZWcpq2Drgk+rnhH+g5U3JHTCzSE7Szn3/+WbhvPAjs8Gr3IZm0BhUkLrvsMhwpNfYIXRO/NmRZxoQJEwAABxOZqFKOvwhlNrM0C2C00qfpPpwxbVWxnZQSPUoySkMR/mVQGda+TjhFYNgBBa3yRYAXMAAFHvBLlWA7HA6hsBPm9smKDTuEsyg/y3i/NBMoSaCtOcmjZ8AXNI5HioS3iooKxh4C6gYQAKMlGYDtIC4y8hNpHDBDrHIaJFFSUsLe08xwoETLDGqnMj7RPRw11iXf8mg+AwA+qTSYtplZ2bbvwZ+LBw8eZIm8nV166aUsQTS3UZMP54FXHjwGjKSE19AzA3LEnOJbGMko6a7hzra65BHMA0k8Toew54gVb6ff6Nb9n6JKAtNo70ENDDWzMgFg5UYDRB91zT8BGDpzv/76q+X3SS+Un+5uNrpGvkWYPw9TdTW0bNnS8qzM5+uMGTMEphwxgHmj7p4m+TkgNZTSKg2UJSCL2pmp+MODtrzkCxnPxK2trWVt70uWiACKucjy0UcfCdqnlFif3qkVAI1FBoj7hHxrp06d2D6n4jCBkUeOHDEK0TrQqUJi95fWvvn8NXfA1cdIdzViGkTmdDqZzAGZuTAT1UUQeTmGQ0et7bklNdr1NM60+pw2jbV7wMsm0Tm4ePFiAdgnM7Nh7QaTpbIpU6ZYppkvXbrUMnyYf95DhgwRChq8pBR1gtDZQq37AOAl0Fb3FXbDbz/88ENLh5zZEpKxhtI9TgaUJxxelKle3W+I5BkCa+002O0KhgUFBaipqWH+JN1j9SuA2MVyWnutsJIla3EAgaN2AzKTGfkTc35HUjj0934ORM5KN9jGFMuaO9ucTqeFaQsYBeqwKZYEjDjUnS5KztDeo8IF5Uo8sYMY06tWrbIwfnl78803ha/51ve4KtdLWg3ggFBJQR6Hr5MESZE+A4TO7oaaT48RaqJx+P1+ltN2bKatfbq3RCqxI7lYrzWBxlkGUzvL54U/g+R/tN8xSw6QUbxOIC0NEwZSM+rJZFlme9WsV2+O4TMyMgSt1qFDhwr+dvjw4ezfn3/+ObumM844A9ddd51FFoCPNaoUDwM0+TVLRQozeHzPPfeITFs4bGewmDWV+WKs06vdYwcUNM4jHXMH9ilZWBTtgEWRDkbO5rCe42luY8/bDZO3M7fbzQZ5mvc2adq2yE1HrpeLw7gCg04Ux6ESDb+I6j/Ky85k15NQZdZtccLqb/+rQNtBgwZBVVXLf/WpXPzdjYLFKGsD0g4HorNHVQeys7MZjT0vy2DV+HSk70iZCIxRu5HZ6a5btw7BYFAY2jVo0CAEAgE0bdoUQP0BrGRWVVVlO1Fy4MCBQisyAaqAwYYwg8xU0W2WqznHI5X2lWxz+yCfuEyYMAHTpk1Deno6Pv/8cyEYTcbK8nq9ghZYWVkZHn74YTz++OMsWeEBumHDhiEnJ8dSyQOMBJ8AW0BLIOh5UysdgWh27KKysjIhAaC/tatsmo0SMr8zwRIwAPDprDJt8qs4MbqkpMQSLBO7oXF+NmPaSg4RxKHg7Pvvv2eFA/7g5tcj30pm/syUKBFj3GzmoXOAODn7tttuQzweF5gu5tasF154ATfccAMrItS17imw9Hq9jA3CTxoHjGme9JpUkAE4/SMTaHth/1MBAEd0pu3evXttg6Xa2lq2H5xcAHDHPzRG3PZ4nqAnOW3aNMbQqoFTH4qiMu0rYoNWVNegJiYe/gnI2LBhA6qqQgYg4pJZ4MEDCfRZiX1IwBA/6Ia3eDxuKWzwCUjPM7TEL9mAPwpU2rVrh4qQARzQNZmZUk2aNEHTTt3xVbQjlkbbsu/Pnj076aC8ZMazPcln8cwQVWeeE5jp5Fh/gJGUmjVXK/V9R2z7Kr01OaRHVKO65eGKk7Pw6EVd7NusdAZO1CZsIFCdD/Bat24tBM98MWzboXIDtPU60TjX2IM+rwjC0UTcBGRhQJEdKGenq2dnNJ3bzsyt6OahSAAEv80n1rxuqNlqmVQNVzzQn11MZyLwTGmz0b7zehpWFCBghg/YzXI2yd5LllTIui/Jzs2z/V1eW3XhwoWWYiwPZHTt2hUff/wxANQ5dRmwtsgyTVt9H/KACaAV3nhWnXmCNbFGajnWdxxySoY2dZvQ3nc7ZUEbftOmTVAUhQNtuUSG2oRN7ajlVdp5Tc+BZxqu/91IBr9b/pMQN33xxReCnipgJMSAdRALGTH3CVSjz01GBS27ooOdPjCt+bvvvpt9jx/uyBcyyOhszM5Ig1v38WUh7b7z4ISdhj2QvJX2lFNOAaCd1/z7ElD52GOPWYovZmkDAm1PaqWBxbmZ2jkZg8yKrrzPv+222xBRHVgUaY8d8VwGMkciEWOStsP4TDTgl5hZ5rOX/ibNVf+UjFplo3AIDKr169enBJ5kWWagrQMq80EE2lLMtGvXLpagd2hqLdaeooN+YQ6UaNKkiaCVbda4BpIPVDXHObz17NkTgUDAUqA5cOCABfjluz1kWUaPHj3Y8x87dqzA7qK9Q3FTjp8rHupDf2guBB9nEeikKAojjvTu3Zv9nPcnaRna2SZBhccpsxi3OqYyPdsChxZjxOFAXJVQUlLCWvnrY3369NFIECZSjtn4IZ89O7cCADT26fGevg5kWTK0T49ToooG2tF9zeLAcF7TkuTjzHNCjhw5YtG0BQw/Ua3L0vD5EdvjLlEiinwbnRXkA/n8LTs7m93vVENqzb6QZ1HGIWPv3r0Wog37ORcb0ZpwQEWLPKPwRMOYLxtwMnxO7f/HYzSQqjamoHHjxiz2al+k+Uc632nNpvIXvKZqod9AmDO8Tvg8hvyP3esQEYYG3vIgHXWgUTxQl3Xr1o3Jf9E5V15ebonhx40bx7CJSZMmQVEUVsTjtaxfeOEFdi5eeumlGDp0KCKRiFBcVVRRnq9K9SAejwvdXVS0Np/LDzzwAL744gvWdQoYvsScU/MSjoAIoru8mo9wQkGLxtp+iaoO7E9ouUGJmo4KfRaFx4Zpy8uKNGT4l8/nw6233ip8L6bKrEOpeW4amuYaa9fFFQDpHDuqY0YxRde8TfMw0DYOucG50Qn7XwbanrDjN9IWI3AtN1Pb5FlpmtONqQ60a9cO1MFcwAnZky5eGQdeANohSAHYkSNH8O233yIYDAoH8MUXX4xAIMCApuuvv579jFoSGmrRaBRPPvmk5fu5ubmCbAAfmPPyBubEnpKtjs00sLc8YgTU/CFjJxTetGlTjBkzBu+99x6CwSCmT5/ODgLAWnnPyclhQQMJnxPI/cwzz7ADo0ePHhg+fDhL4gsLC9GnTx+EQqGkju7ss8+26DYTS6B1U+2zebnWBLMtW7bMIo8AwKIVBFgnjpImWLpLgpdrufO7tMNClg3GF73uH3/8wYLMPD1YpnaLVo3zGNNWNjFtCQTfsWMHG8zCB9R8yw2xtwoKCiyfmQdYia1n1iXmGZX8vzMyMliSIcgjmN6joqICiqIwuY5oNGqp1vNGTMFbbrmF7SNzIk0VXgJL+XVOa9kli0lq73Za8lSupkFVtWSDklpeSzoWixmDrjjQ9h/dW8GLGGrgxl5FBLkJQK1UjGEutM4ydN9RVRNFOCqyBhKqjH379qG6psYYsuR0sPflmbGU5FLxiRKzZJITpE/G3zt+Yu+egwZL28xeI8kQAuuqueume2MHZDTvqiUq1Sam/qxZs1KCeWajxJ4Hv3gGKckjpOtr1hjcpn0eflAGrRWv14tQVPu9fJ/296QxHI5p3+/RrjEeu/pMXNbbAJ15y8nQzgxzYaKyspI9j1WrVrH7agbveND2YI3xGhkeJ5oVGmCLj2ulBDQdLEBLHnimIJ8YU+GFwKSEKuFwIt3SlkyWamKyOYE0F90mTpwonAuJhD0bhgZukJFvLeRYxTT8JVaPLkhKYtO8DQNt7dg6ZoanmU3Bt29S0pydawVuAFHCg/YFn0zzr719+3Z2v3hWTjK2DUvcdYYV07TVk056jqQ5v2jRIoF9ae7EofOgUQvjveOqnLR4A2h+X0vedL/olNlzo4Q2VF3N7lkax2az0+AFgJoYactrrfM8gHCs2rhfv/+hsWevv/56ps1aXl6OYDAoANLURVRWVma5l7wMDM9K50F8uvbRo0fb3gOeyUi+yOPxICMjQ5Ci4i2ZbmuGx8l8PBWS+IQvGWhrxzoEtFZYwChSEev13XffxXPPPcf8BA1ZsVynaugOtszT9qbPQ8CSg7GGzdIp/s5nYr+Shd/iTYTvR1ksZMhFnXyaMejTXGgYNWoUuzeZSRiSdmbMAJCE/fzdd9/ZFrTY32VnI0KgraQw0JY0jkmX9eeff2aAQw+dgcxbiwIt1gyrLuFZE2vxxx9/tO8UsXHKnTp1SupH7777bkH7miwejwtzIgANsDFLifGFjBYtWgh68ey19PUv5D36syC5C76wcvToUVYcpbOd10Pn10p6lhaDOJGAJElMHicCJwNtTysytGWj+jnRkMHDp556qvY5dH+UngS05UGdlvman+zTWQPffQ6+A8ToJEhm9MztipoErpNfyfEbPtmYZi+z4ikfHzVq1AjxeJybrcCBtqSVqcsj8MVXup4qk8yH2Z/wORLvU8455xx23Tw5g8xORkgAbfV7laxwxpOFmrXSrtsJBae2p8FlKhvGfFqrAmwsHoHbzz3F9rXqsgx9QFg0oaBNmzYI60AbDcKje5uq25U6cMg3OaEgP8PN1mmGx8mKACRdZe72oO4IO21yyskb0iJPMj1lZWXYvn27BSgdM2YM+16PHj3g8/nY13l5eYzQ9fDDDzOA+eabb2ZDCklOje6Lee1UqR588sknQmx34MABzJ8/X1hLkydPhsPhwLZt20R5BH1vv/vuu8Lrmu8bf2arOmnJJamsIy2qOljXJG92ZAtJklhBpq5ivdnMHSv0WTyII9PrQudWxtnHd22k63u8tFIrThuzaxwsPkpARnW47mF0J0y0E6Dt38TMDrggR6umMycAB7p3746o7nx5bafsDC3Qr6yJWBgUBMa++OKLTDsW0IKnQCDA2mR4o/aC/fv315sZRaYoisBW5EGZ2267TfhdfqIoP0jMzGaiA6x1oZb4VyccDMiaP38+QqEQHn74YVsd2v3792P27NlCe36LFi1w9913Y8qUKZZkuKysDIWFhZg2bRoLEHiQgBjJZ5xxhtC+d+ONNwKwDyYALRDv16+f5ftU2SOQnoI5O9B269attvIIfLBKZpZ8ILDS53bAy4mTU+UYMJx6FA4oioIDBw4wAKgwLxsA8PLNw3H3OR1wVpcmLCCQTJq2FPTX1tbaDmSz0+EdOHCgJQDlEx2qBJuTd55ty/+bWLYxVUaCZ7DZtJ988MEHkGWZtZvs2rXLttWO3ws8EGKuXhOoSNVevk3HAG3F126WoyUFcTiYtiiBlWbWIQUqLo754nbK6FWgHfw74saeKy4uZkFwuS6NkOM0nj/5kXAkZgVtIaGqqgrV3DAaj1M2QFtujdIzNzPn7GzRokWGJACXDPCvt/9ICcaPHw/AupZJI5uY9cIgMn0N2YFMqzZoz8Vubz377LOWZL0uGzVqFPs3DxJSK32m3mbIAHpZe658oYjkCU477TTUKNp1FektbtRVUat/prxM6xAz3grzrC3DgMYwIA3KdevWsXtPLFsKgHnQlgbWyVDgccrIyeAYHD5xT1PCl4AsSBfwNmDAAOHrFbEWmB/tjJ0JK3Pwzxh1MtgVC8y+yAzsU3GneSMDeG7I0D0qbKTXMYTSbG7JulbNfoovegHi5G5KmmVn/bV0kzGGKVnh5XwAY33zoDxg7Ddi2po1bamQRsU7KpgSiMG318+dO5f9e9cBA9SKQxYKrWYLh8NCi6SHY9pSQrVug5F48vIIJOdgbjM2pAkkxPSOA7KQYuxf2qOABqbxccNLL73EYhy+5fuJJ54Q3otads2SBfx5SPczJycH2+J5+C7aWtCQ5rt7qBtk3LhxADR/YwZE161bZwE5KEbI8DhZm3ZVrRYf8QO4zIlysk4YMlmWWaHojz/+EIoBVGifMmUKZFlmcRRvYdUNBTJkKGisM8nSOWCJWJXmWG7lVu3crVI9SHBUVwbAep2sYNKhqwG+8HEpoLE9KQ7K8tV/b7scMnt9Pm7jyQVmKSVAA0gZ01YyALpSfTAlFa537drFwGyKjXlrop8j1apb0MT0+/3MF9oNceSN2I12mpodO3ZEIBBIOozO3Io8YcIEQQbhrLPOgiwbOu+XXnopAMM3tW7dmp3jRseXcQZS7GonExaPx5mesp3x+9nl03It8hlpDmLwGqDt+f26MdkEitm/+OILgcmeymRZkxWpi2nLg7bNdQDvln/0wQMjO+PVOy5kPzPOJdFvtWrViu1H2t9mKQ7e6O95pi2BtnFVts0PqTjFCoccaEtnGXUJ2f09+RTzNfBG8YIZ9Kf5BKFQyCJh8t5771nfy8S0JTN3eQGiVF+bdpoEkFNS0LWVRqjwIA4HN+wvGSO9Pkb3O5pQ0aFjR9To/qFpttG1ZDZzTEudDfS7TkmB0yGjuS8Bj6ygRZ6P5Wh0PpplSsxDIQGja4xnzdc3NpZlmcXlZuCzqKhIyKHOO+88HDhwgL32zTffjHg8jmAwyApEU6ZMYWzv2tpa9n1iIFtBWzd+//13xuQFtByDf7Z33HEH83+KqvlHMiroKYoi3G++kMX7JQCoqtE1p2UVfr0zugYulOjsWi83yM4OtAWM4qFdbpLq3pv9Mq33DF0Hu2MLo5PCw8WZmToZsCJcK7xvmtvB9j9QP7LCCRPtBGj7NzFyRhQcFunTRQv1ttSo6kBtba1RqeV084gFWR1JWFpH+ZYxl8uFO++8E4FAAM2aNUt6LW63mwn2z5kzp97DYxRFETSxWrduzUAZAoLJ+IEuqTT2ACNhaZajOcEa1cX0cyKRCGbOnJmUBUA2cuRIpk07duxYbNu2TQCXCbADNKCruLjYNvHv168fFEURAOKpU6dCURQEg8Gk70/sBrNRZY/0zzJIH1KVWTBMrRo1NTWo5Vh0/FRi87WadRAJyMn4/9h77zBLympd/K2qnXt39+4805MjwwRmiBIFZABRBEU8qIiKihEDoKJwxv6NyMF0RK9Zr2LiCEcPegRFBBEQkCgDEgaYGYbJoXPcser3x/et9YWq2t0D4716z6zn4WHP7r1rV/jCWu9617sySTRoZYGzOlRWmxsZBR4ee+wx9Pb28mLeKsfYsu5mfPiURcgkPSSpoUtMIzLbqtWqsdnpnXyXLVvGDi0BAJXA5UCMAr1yuRwS09+yZYvBdMxkMkilUkIz1dKTo/mlgxIEiORyOVxwwQUARNbd1vEi8P7d7343lwzZ5YUzZ87kaySwVN90af6mrM07lXDR4IhnSDpc9Pt24yCaD7r+GQC876wTAAD9gamBSuN8yBfzZ26rCnwoCJqo+BgZt5MlEswrK6cjnXD5d2twQiWTOhhEf9PH4vj4OLNc9FIowGTuDgyPG7paemabmJWkrVmJADei7NnN4hhxJUjXXnttZAJENx0808EHPSlEjg455gTQZ/JiPDz44IMM3FKp3kknncTB4CzJsKHGfDTPm7P1QblpbS3y8+b1+b7PXYN1UJ3GKTdmNBjIMjEg2UdN2m835UzwmK6zBic2QNQ1wNqmzcRGCdZS4716FgVsRFlHRweampqYuaHL8AAm83fOnDmhAIaAlfkzVfnuVJrukVGSKZueOngKROtk2mxpO1nFTBwnABHuJ0rxjRT1REFUZYZdcUI6rGQUIFOZL5ldIqvkEcT/abxRMpn2aV1Pk5IHlMx73eteh4GiyZ6fjAmvz/tUwmVtxWWHrAIA3Hm3YsoamrZ0vpaeug6YlgPPkD/Ry81tcN11XXz605/mZPnTTz+NtWvXolwus48xMTHB99D3fb4n+hwBzHXKh8vA4xPV6dhUa8MOX+3dQRDgiSeeMEBwCnaBcEPCX//611wxwNdCe6MG2o5JaZaEYz5z3d+ga61nb3jDGwAovUOSkwCAj33sYwwQdHV1hcAQt1nMx7xTZtAkxyXc5v3Xx+buogLkH3lalbuyLmkuozQ4tehUZ1Wdc845ePTRR3lutzWFG0/Ws7TG2oyyj33sY6H3Vq5ciXE5lxNOwOdIkh30XCdKFR6L5BvrRgB3FR7+8ug642/kj9aTewHi5WQ+9KEPGUlL2+zmOOecc47RWM7zPBx//PGGhNqyZcuM/fecc85h4JGesz53uySxxdYMJtNZiqtXr469rnHJCiWWKMnjbKy1YUACL4fPaws1Pnv88ceRz+envD/V4HJiLw60pT2+wSlxmXIm6eE9J8zHPE3H3uPmpuZcedOb3sQN2SjpH9V0jq6/Kte9rBZP8tyCZySbyMivZZkuDbQlIvpu2WfALit3HAfjVXO/s5upAcDJJ58MIExIcV2Xq0HvuOMOXtfsBmSAaEw3oq3V+nr64IMPhqtXtBiyLNfapBNg1ewCuhsTOHPlvjesjbMCybv4QBlJrhIh0Jb21cHBQY4xbJ1y7oOjySMAwB1XvA4Pf+bVaMokQ0lUuxpVZ/xTXKX3OaAEUZQUXZwtX748ck6cf/75nHylZAeB8meccQYGBwc50eO6rpEABRTLNpFI8FoSBm3FmkfxmS6JAoiKGCJ87dq1C+NBypBXKAderCQImZ1cHZUJirQL9pPHgjQCuMiijDWvVT0AYkFbh5jz4Vg6Ts84iphCSbxGqYM9vaD2hYy25FDcNyoTKDQ3MgnPSBzti1zDARN24I79DzPlHIrAfWanCG4rSGDz5s1GRoSsq7UAQDiehx95FP5cnovnq2HNsk996lOTsiLIlixZwpv/F77whSl9RwdsZ8+ezeLdb37zm0NaV3pZpF7ybusN6WWPM+UCVEQCv/p1uISqnumbyNe//nVm9cybNw89PT3I5XKGdAPZW9/6ViObfvXVVxvXSdl8u4GDbrqOLRk5VCULkOFSYyg9Kd3Z1Z3/EhKs+VVPd6ipqUlrKJZBs6bZuHi2Xj4hNoEyPDzwwAMYGhri71EZvW4pCdrWJunNMWfOHACCAaSzWOzyZG6KkBKbaAWeIQBPwZwdJF533XVG92UKSB599NFQsERBtt1EiJi18+fPxwknCPDzhz/8IQM9uuTFzJkzuWTIlrt405veFLr+qGvMRGgbUZfgEUj2q3RYdQ04QHVs17ugA8CiaSKIGQ3S7IwDCtAn9uQxyxRzt1WuM8Wqj70DZkaX1hou1YQPx3HYwa/BjWzsQUbyEPqzIcdr2bJlBrNOHE+dM0kekINEUi0E8Oi/a2g/aq/tREbfGDWecQ2Wmm5f+tKXIrugk91www2xf+PzkfOBHHNiJucLYi1fv349gxhkqVSKwYTZ7eI5lqXOFJV/NkXMQd26OwRoG8Ump/sXVfpKwcp4RINHDmQ1j486EpPxeAjcSI1EwGSl3LetyOx3aoxXz+KABZ3tDojy197eXnZmbc1g3V588cXQvaBgvLtNzWlqyDQZ07YWOOiXXcaXz2yp+1nbsgl1bGJD2M6ynUAiUDSBABQHjI4rUNpOtOrNw6LYNfaYtwFvCu6OOOIII+HK4HGoEZl4P6qJmu/7BvvyhhtuMNb5ww47zEgg2A38oozmvYMACddhIGH2PJEYHJVsGBe+wZbi8lHr+er3355PY9a5RdlJJ51kJIKvueYaPPnkk5zIokQarSd6giru2MS+JHB1wDfn4a9+9Stu0pLL5YxyUD0ApT1LB65sFmAmKat4KgTaBkpHM3Cwd+9eTnzq4HBcpQUx7qrVKu69916WAwNM30wHX0b8FCaCBLYOCCC6oFWIUCOnClyMjo7y/dNLnAcDdX9uuPUuTqyRj91eaODmLHHd7lesWIEnn3xSVRy1Ts1/5mtjdmb0PpnJZFhflKyzsxNDEqBNOCohMjJuzunxIIkADjz46MiHQZJsymN26PNbVTXQ+Pj4lH36KIbtmjVrIsE8st/97nfGvD/mmGNw0EEHGWz5T33qUwDUukKgqu4f5vN5ZszRfMxp4OLsaSLGKWlAx1lnncXVHrrMQlR1F1k/3Ws5FlobxL3c5TcigIPD22qY3pw1ZBN0mwz4pvGttOYDg82m24KOPK46exl+cFH9RAgzba01YvPmzQxUUZWDzYT2PI/9qCid75ymaWnvkfqxFMNT/Z16clBzWLsKbebMmSjVzLVW98X0alDSbraTSzNmzOByeaps/OlPfwrb3vTmtxgsysaCGLOku1pvDvQPCzA46Qq/674rTsO/v+Wo2M/vqzVJH6riO9gzIuZ1GhXk5LpGDR+ff/55Bt31OBBQACzNDeqFkEq47Cumk2YlyfDwsPEM9edLiVRdmooIVXHSN1Hm+35oTlx88cXs+69YsQL5fN6Yn01NTfj6178OQCR416xZYyRdisUi+wCXX345+6y+5SfZTYb15piZTMZIFt50000GExsQc5uSUeQn2ZiELlcHiNgJEISWJotYMSNTxluPX4LjZiSxoCnA3LbopJ/d90K3uJ41ujQC7a+0z5AE4jRN47hBm+NE9KPqSlpHsilXyjVI5u8+yjUcsAOg7f84I5CMguTWRllGEXjYtWsXZ2L0TX+aLF0v1YDHto9hQ60dj1VVVpCcaxskmcx0/bRvfvObdT/7uc99jl8XCgV2GJYuXWoEjIAZTNPmS6YDPIC5KHc1Z6Rej4OdAyZzJJVK4XWvex2zaYmJS3bTTTex1hwFK29729vw9re/HTfffDPWrl0bal4EiA0on8+jp6eHhdnJDj/8cBQKBaMMzAaxTjvttBCwB4jgwg8EGA+ophUFBm09/p6u1Wo3IqNNSC91JAeVNr1ly5Yx07a1MYdObSFf0K2cb2J8VQIPvb29GB8f5+9FaXARaFuthQNqclT37t3LzsBjjz1mBAH2/aax35FP8fXpDgR1Jb7hhhtCgA1ZMpnk0peBgYEQ09ZmIZLpwd6rXvUqftbk2FFG+HWve53hwNhlyxSMxpUMkm5rJhl22tsz4v4P+/WZG3Fd6jvyaaRQRQAHw0EmlO0m0PbQhWoctxUkQFgD+oZGjM/TRk4kJCrTzEkmYS1wQskY3cjho3ukB2TnnntuSCfKAFzlbxP7LAgCjI+P8zF00FMHVfQAwGYmjPnqc7pzZM/Zq6++OhYkIieXgP0oq0qwle4TZa69pLj//f39oYoI3w+YdT+jIMZ2xRfNkQhksB1C21rkXmGzNKPMZrP5gWr+RN2qASAlnbdGDTC2maR0fVW4sRpsOrvz+apac4aDqbGUonT5bBbODTfcELtPUaAWZ7lcjhsWtmiSMeTn+nBj1xwA6PVzqMFFBhUs6JicPaxbXtPJnNeqNOx1s3V7aZx7boCEfJZjEwrUsaUfbKZZc3NzCJi1k0NR5rquoTFtl8jqTQqDwJQ/IKkkKlWkcuharcY64iSTNGE1IpvM6H64MrGUlOczPDZhnifMeZ2ymMFRv6lXtIyWqrxnA2GNdN1yuRx6eno4sXrrrbfymlytVlEul3nf1puzASJIta+7WDFLKAeC+DE9Pj6Or33ta1i7di3Wrl1rgOKXXHIJM+/JdBZgQ9rjtYsIzwK0FffUh4s9e/ZwgkYvRbWZdbrRnkh7LT1rvbEQldSWkcCvSsvxi+IheLoqxumMJrVWKDagixc2b2Z/j4L0iXLN6Aq+fbjKfhE9v2ltBSRdCdpOhJvRkt+ye/du3mMoMTZVy0od0lKdNZn80S21ZrxYKwBQ4zbpqoB+rGgmIfVS2LhSbare6S+KY2zevJnBE90aGxuxZs2auqxRWoN1X9+2jRs3GqXIc+bMwWmnnWYAZKtXr0YikcCNN97I75F0GCWEaB8hH0HXXORjTxP7iA6i9vb2sm+g+5r1mPpUyk8JygZtqzlttotfXCbGgZJNUOcQlQCzjapPaE1PyjUqyhzHwQXHzMXR88OkG91oHbPL6Ddu3MjrOq29diKlq6uLfTImAWn3lQhBARyMW2NO1+OnRJfOP8ixVuZ4pA91wgknoGT54Po16BVz1FvE1qoGxN5B9/C73/2ukUgEhDTZ9oEJQEvGtU0Tfi/dl2q1ys/PrtQckKAtJdxfjhRClKlmb8CLewTAnXMqRiO6Ghxs2bKF5dFsf4fOmav3IrYiu5JkfHzcAC6Nz8b48jQXSfZtMrNlUQATPD3nnHNQrVY5iXPUUUfxWrB8+fJQcy1AkT2SSVOf266QmUAqFmgsFovGfN27dy/vEaxXHXjGujEwMBBujG43qZRDJ5dOsDwC2UnLZsFxHFz/4dPwxyvO5D4wtiVikvVAmGBEps8LIrdQbEjjqC2fVhrHmg/fKaXUSN6JmbZyHagHIh+w+nbgjv0PM1vzqFk2MyjBQ19fn6FNStZM2k6Bi7sfF0FAMUhykxea9OvWrcP999+/T+dDTSx6e3uNDVW3r3zlK7yBeJ7HWbZEIhHJPNRLoihwI7N11nQGTDbpMXMhBMaVywy+2s3WaMOlslnP83DllVfigQcewNq1a9mZTyQS+OhHP2po/d5www0M/thAy6OPPoprr73WeE9nLLW2toYaZ5GNjY0xSAOAF/vWZgGiVQOXS3+KxSK2bduGWuAYepVleHjxxS2wjTJwBDBNmzZNAaItTZjTpQKPjkYtEJJZcgKJSBMWQCQzIJ0SY7MSQbWdPVuI9997772h0lhAOI7kkBM4Tc7bjDZxDyrwDEYOMaH7+vpCpfVkH/nIR4x/0zgh8Em/f7bOph7YXnTRRcyK+tznPsf38rDDDmNdNhu4c12XN3gCmG2ja8xFgOAr5gm2kJ39DR9DlrRZ4JnjOAy4DQUZfOpTn+L5Vw0cdlAWdGjdcCUbtOw7GBgxnULfMbP0xO5g0LYOSAdoz7VWQ19fHzdk+8QnPhHpAOqAqw5aHXGEaBLzrW99i9mz+lzUnTQdfLH1uHX2nh4oOI7D45XsqquuCjlnerLpVa96Vej81bGlfIVMalCn1tFiNCPHdV2MlKoMmkxrprJWF6Pa+5PJI9CeYTMDozrFE1OK1sYSEvJ3AszNq+tOuWGmrS3tkdEaF9hG95BZC34GvUEekGNpNEiHHO8os0HLff2MDh5G2cknn8wJsdacBtpq+s06qJlIJIxAbrcv1qyZ6XgAJc6aNH36oxaJNaAeGCjOh0pTVdCsB9h6og8Is0MuvvjiEBN5KnrUgCltpEpkxb/V2BChgj6HqBEQsans/RRQzU8Mpq1kHUUZXYMt00DbVd/QCNrb2xUrDOaBbGYw/6a2ptB82rt3L3YNmWxHWz86yt7+9rdzRY4eeOvyTHbiaOPGjaGAqVQVLFR6n5jdgAkqpFIpHHHEEbHj8OqrrzakiQBzvDWkEmiQMk0lqbOdcNW99eGgr6+PGY36vhnHCgLMRlCnn346P+uRkRHWEKTvD/sp1OCiBheDUu5nxXzFRm7gRIeDzVu3M1BFPsZTW3uhAzaDfkaVE8tnNrOzFWnJTtszMBwCLA877DA+JgH3RKKYquWTsmrICQMiVIG0bds2VAIXfyovwF3l+Zgo1zgBk/AcLoWfKCvf0nVdbkLWnIivDGlMiPsxFiRx1113hRr/6cdzXZcZsFFGYzgIgshmTsVikeUvAEEWeec734mHH36Y1wHP8xigJXCE9nfdiC1KjN2oCsMWyYjViQxPPfVUSLuc5gH9nl1VMCobYxFT8eKzj8dBbUl85JgOfO+DZ8CVzPy8RMX037vllltC527bySefjN7eXh53UY0n99U8q7kpWVQTZLu8evny5cyApcS8TiLIaa+37jT3iO7ubv4N8rWSWkNcSu4OjU3g9ttvB2CuTYsWLeL7QGCSfg06Q1MnPkSB7ldccQWAsE4rIKr41m0wSQF9g4qUQM0QKZn8u9/9jv9WKBQwJJt6pxP7tpdP1VhiLHDx8N+kPJtTMXwrH26IqRxlCnAL+wxpq5KkXC6HiFK6Ucyj/y4xT//zP/9z0nP5wx/+EAnWUyKH5GAoiZPNZplB/OpXv5r1cHUbH1cJgE9+8pPGnKPrSqLKVQW6JAYg1hLSYb7pppuM86M1tCOt+rmsX7+eY80f/OAHBjGnq6vLSFImEgnWv29IJ9CQSvC4BoAzjorXk9aNNOOjAOeo6jjbOPlA8ply//ZcB1mpqduq9aXobBGgbcl34PtBqEmrApEn928OmGkHQNv/AaYvIgRW5GWQTPT28SCFkZHRSOeF9G0rgYdHnhe6jTW4/Fk9aL/99tuxdu1aXHXVVcbiE2eJRIKd69tuuy0kiv3d737X0HNctWoVB8i2ji1g6ntGgQn2gq82dFH2SF2M94W2by96tVoNV199NZcIAYL1QY0RAJENJHbSnXfeiZ/97GehTo222Yxiu/GabSXOvFc5A9dREEBXBa5RlnHPPfdojAK6Hgfb9/Sxc0PgM91/uu4dO3awo9TZ2owlc1WmVQdtifGlA2b0vYZUGGRU8gjhTcVuhmAbOU0AcOSRRwJQzsf0FtWBU78HOkAY1eDMdd0Qw7Uog/9CssrHJLNBA2J7kZFTSIEgBRcEpttA0AknnMAlS3RNttmbqm7HHiI0UkemyLTNpsPHmN4gy5J9cX/oGkWZmCh7ac+r72WooUvgYNgqv0xlxXNQXYLF3MxnM/y+7pATE8fWTwTAGtDHHnsscrkcZ9Z1BqUO+ukgwmtf+1pxDTL5ZOvoGkxbLQDQ1yXATPQYoEylgiOOOCIExNrArd5EJc4cx2FpCnKYiVUxZnVNJuam7/sYlkwvDzXuUFyBh2GpOUUNweqZAm2lEy/nSFSJOgVBtEYQSJZBFctnq3JnAjXyqQRo3UlZ50HBQhXhMvaNGzcaTf2IZbswM44EagjghJzs/WVxiZ0oW3bISh5HLRpoy5pwgcNyQYB4djrQtlt2Cj5phQn+T8VatQZzK6S0wmRsaZZHcIGEBBV0TduoQFY3u0LANh3cIVCOxqvO/LA7iOtjw2avkga0Dlzq67XO9LH1lePkKSgYtJm0aQkkDI2O49xzz+W9xbOavinNPwUM2yxX2jPuvvtu7Bg0E1uVwK0LVJLNnj0ba9asMRjf40ESfuBEaoO++OKLIR+nVK1JqRp5bUGGE126j3PBBRfgta99LT7zmc+gp6eHG5KRVavVECOWxlsCNbiug3zO3IOSrqMxbR0MDg7ikEMOAWACKnHSMv39/YaEE+2lJGvwxS9+0ZCYovNJo4JGpwgHAU4/XAHNGU0aaPtupcsIiPX0138yCQZDQYaTEsT0KzSkWZpkd/8QVq1ahd21PIpBgjU1+XzkeMhnwn5QPWvOis9nC2E5AWJHVSoVjMpmaz5cDE1UmFWb8lxm+xPTGhCSFJSE7crHJ/PasuI+jQcp3H333cbf3vWud6GnpweA2COKxWJdFu33vvc9bhQ3MDAQ0sa2y80//vGPw/d9AxAjUFg/F9rfdeYY+d52IzKdPFAgQou2VtJep/sI5GsS6KTrgyeTSZQk24zyAMtmteG2T5yGS882y+H59zSyRVTfC9uampqwYcMGns9J5+WDtgkGbc01wi7lBsKJlMMPP5zX8Ch5hITnshTKtl0KtCVfjYgJCrRV322WzVdHihUm+SxatAjVwOH1leY2yU3Y+4RuNA9J3km3RCKBf/mXfwm9TwzdOx96wnh/aHScJbvuvfde3nu++c1vGtIdK1asYCmSqIq4/WEZDUx9dovYq5uSvgHa1uDweKbYJ8q3JmAtigiSshptBkEQ6jugx2iULNF1bWnfnkyiaHh4OMSK1qUFu7u70dzcjKeffpr3CYqhLrzwwpD+LBk17kylUkgkEgZblmIhFwHruOqkl4ULF+LVr341Fi5cyESFL3zhC0zoIN9zSRfFnAns3r2bJfjGxsYMMsCZZ55pVIi2t7fzvM5nUnBdh5MyLnwsnxGuso0ykiOYLFlPplczHH744Uwso/vRmFfVXjlZbdHWrHwtSq6UA4fl7wCFK3l1QOQDVt9e8h2bjFlywP5xjErAXdcLMW0F60pkQvqKQhoAMLWdqHS9ErjYocUUBFK8853vZBYB/d/3ffzyl7/E2rVr8fnPfz7EzNFt7ty5nJ3TmaXXX3+9ERy+4x3vYIfowx/+cCQLT2/gFdUp2DYCuTwEUmtF6rpZGaCOjo4QmLMvtnnzZtx222249tprma2rg7S64xPVERUwy0em0lWWmLZpzYnLy66OtcA1guPNmzezc5pGFZ5c5IcmKjjnnHMAiI6oURurkNUQ97G5IYPu1kb+W1uD2uCI8UXlg0GgnOUoeYSMZNpWI5i2NC5oHbI10HTJCNK2pXPsbKTz8EIlQQSc/PKXv8QZZ5xh/E2/dmpcVXbEOXbmXHlMFZxHgfB6UsF1XUOXsKGhgUuDk8kkd28l05m7NPbtJAfdz3w2DMzO6xDPRS8ZjyrrJic3FwH8rpgjGEckhUDsVvpdaixFRqyKKjyMWqVwza3imak5KFmXDQTaukaQTmw+XT9OZy+5rotTTz3V0C3UHSIDtLVAqxkzZmB3rQF7ag0h6ROzy3r8lmmz93S76aabcMIJJ3CTCzIdSKAAjcqdyfS1M5/P8zmQnhg1Fxy3dBP1sT04Lu5DGjV2nKqBy2BuynpuUab2AfF9KoOrVquh67LLAeneZJ0Kjl2hwBECNVzXYbZ6GLSl5I0TGu/PPvusCvICYENNJOouff3RrOGcnz6/7nWRRcnMxNnixYs5aNTvWxxDun9UnIuDwGAVp7WgR1/3GxsbeQwHAbBHgrave8XUmBW6dbao61rWLZJdUbrEZI6jQMyk6zDTqag1DLSZSTaYRjIjtuQDsYl1Ni0BfKtWrQJgAoROQoxtGhJJK+iczC666CJ+TWvtzp07uZu2OpYb2UWZ9mVbpoGe29DYBLq6ungNI/+BTA+SidH+7LPPRjJtn3/+efz1GRMAqcALlU/Gmeu6+OQnP4lTTz0VQ34a/1k8BHdX5oWSvYDcsyOYtqRBR+c7GKEJbTOidMmpnp4evOc97wntxxVtfwCARqvZYNIFXAl4+xDznJJClUqlrsZpsVhkvUKS6qIEKe0ZtgZiIif2wia3hMc+9wY8/K+n4vC56jdcV+nu9UoGHa13t99+O/72ogByp6XFmj3sZ3jNIxC+MZNkELBvaBSFBYfid+UluKc8L1SFQ9+JayAVZx2ycdl4BJbd2trKe+WotuePFCvMmk8nFGhb1vysadOm8XeWzIy/9zNl1ZKu7Tl//nycfvrpGBsbw65du0QT2MDF5df8r0kb+n7nO99hEsff/vY39vdtwHbNmjUAYDByTz31VE50EfBBpd+AKVGlxw5+oHwevYyfJMVKSMC3XFCS/3Ach1nlQRDA931D3qWrq4uryaKYirp1StAjTp+4nm3dupUr2JJOffBrKsagrVWlYmuZ640OyVKplCqtt6qC+PhynfzbegXo0d5JFXKJlBh/KY1pS5VbY5qvM3f5Efh5cRX+UpktZaBkBZIEbeP6CwDKp47DM+y1M5VKcSLoxV6zrHysVOXKsy1btnCvEV0HHxDEAmoulY3RHn65ltaqk3rl4jCtOQfXdRgw9+HwukjAKa3l+vmq2C4cK6QiKknsqg5duuCUU04BEGZst7SIZPKtt94ae0121ekJJ5xgHHvHjh3wfd+QSQNErGxXupGNj4+zv3H55ZeH/q5X2LSlpPa3XBcLhQIzbAHRPBEQfjyxdWkNPfZg8ftleCjJ5HcUMWjmzJmGbzV//nzVi0Xe/5SM59vd8dC8irN6jcii7Pe//z2/fs1rXsPJGvK5qDkwAEyTLxd2K5Jcjsk6Hia0ZCAlQ5N15BoOWH17yXcsqjw3SlT+gP3fN2pqVHM8TVdMLKxJz0VO0tuHNAddd14oyCzDw6CvPkMafXfccQdn9V3XRU9PD972trdx5rRUKuG6667D2rVrce2110aWopx77rkMil577bW4+eabDabqZZddxuyc1atXs36dbsVikUGaZDIZ2jxsXSJAX5TFIkLNsuyM1N69e1Gr1XDJJZdgzZo1Ib0+2xzHwaGHHorLL78cF154IY4++mh0d3dPqRNslI7ViJ/C3eV52Os34LTTTovVNAVUAE0gLJV1AOq5VuCiXC6z81qpVJTIuFNFWgYsejOySqXCDAYKolzXxeDgoMaY9dAtG7plUTYAmDZZ+lfzhDMsFmylc2dbhrVNw9dol/WQMwAIYIvAREA4EdVqlTcIYv9WAi8EQlNm/dlnn8Uf/vAHPFdtx38XD2YdWBpDBDRUXPH+7DbhTAZweWPbtGkTXvOa1xjH16U7AODnP/85v7777rvxm9/8BoAq49UtimX0xBNmtl9t8GGHYI48xxKSHCTaOsqAcnIbsuFjHL9SOHe0DhAbhhy7hBUwqC7cLsZLpnNfaOswzpnKY5ukQ1ALXAN0JQBIZ/HpACcx7239Sr6uGKYtALz1gnfgD+XFuK28GIuXmAxpoxFZTABQqtYMORIdlKG5+vWvfx0zZswIVQisXbvWYDjoLHHA1GHr6upSoK10gPI58SyKlRrfI132AwCefF4k7tJO1WgEMiRBW+pCXs9oH6jAQxCYbMs4HTMyakKW92qY36mSOrreKjFjGi22GTl6Nbih7sQ6i6OEBEpSq/TUFTPRlhZjMdMxNXZqFGgXZ5s2bWI2hQ4ynnDCCQwo6PbUBqEBm0aVy2EBpRtdg2OAxu3t7TzfB4IsykgggRqWdU8dWCYjncw0quguqIRInGyE67oMQiY9h4HSolY+beugkTSQbeedd57xb72RHM1tCtLtBpAA4EnQVlaBM+sXCEsOACoQonVaZ/QQaPPQo48ZurGAmAs6Q46M9MVZ41f6CcRupwZkcUzbpFb+SvuCkCbQ9ruk2C/L5TIee3azeV6BW7fhXZQde+yxGHMbBOjqhwNtQDDmojRtx8vmOjDgm6A7oOQGyGzt8BkzZrBeKxn5FpRAbm40dZlTCZeZtrXACY0vnZmq/3atVmNAb9q0abj00ksBCBBr7dq17PsGATiZmkwm8YrjTwIAZNwACc9Fe0SjLSopHRwTQNXZZ58NQLCQBmri869eJgCcCSTZ31KgbQKNUnJmYHQCDzwr1mRddoISa+Q/TdYM0jaa24MT4fX7gQce4D4TOjtsuFjFeEmu+0mPQbGKth709/cz02BcFx0AAQAASURBVPbwg80kom7tkoWrJyw3bdqE2267DTfeeCO++93v4qmnnsK95bn479Iy7PUbcOyxx6Knpyd2z/jxj3/M7NhbbrkFP/3pTw2w8PLLL4fruti6davBFDz22GMBmHHoBRdcwK8JSLQTSfo8MBowN6aRQA0+3FBDS1pfaO0nf/jmm2825uuSJUsUi3cSVuXMTvEsy9h30HbPnj2cTE3tB9CW8OW4JDXtVbp0iW1BAG4IajNKiQ384rYd/B75QAQkZvPCT0hr3+2QCciJipLD+P4vfocqPGytFTBWroJjCq8WeQ02UYOq9qIAQ12OA4AB/g3VkvJaxLkUq36ouRX1XdAtk8lgXCZAGyKq2faHcXVS4GKsJu7fqoPmAoC2zqpGcCQtQ+ulPodo/LY3h2NOXbM9rspeb3IaJ3dGmut2MzQy6vlB5nkejj/+eK6yoqZyNpN/zZo1dWNlYtlmMhm4bjhxS8kc1wkwo1msoVSpSPIzulHVCflutO6unC0AzQAOxx62znyUrVq1ij9P/Wgonj+obep7xb5qyOp7rJHgIlJfRu0n133s9fjGWw/Fm49fwu/pRD8CbT347PtSUqgKt64e+AEL2z6DtjfffDO+8IUvYHR0NNRx2HbQD9g/htFzmvAVNb1Blz9wqft7lv+ud0CmCViDx5swoErDn376aS6TpozlggULcMUVV6CnpwdnnXUWs5GGh4fx9a9/HWvXrsV3vvMdYwOlcvHh4WGDTffBD36Qu3h2dnayZpVtxLag79hGGki62YAR6U4tXXFo5G9ce+21uOqqqyIDKX1xC4IAjz32GL7whS/guuuuwwMPPIBUKoWLLroIPT09uPLKK3HeeedFZtui7C+VOdhUa8Mz1Y7YMg8ycj4YhHXD5QlVeAiCwOjMXNSYuZTNK1uZufvuuw+AyAjS/8fGxpRjmk5gYWcePa9bim9faD6nrlaSZlBNPoQFRjkiWUaWs9ZsmgPCzBm9HO4tb3lLqAnZnj17lIRDo+q2azsaegnt9nIW91fmoD9owFa/AECV9ZKzSoytJbPUfaTf8X0/JGOgdykFVMBrM2/skrPW1lYGHXRnQU9sAODS+YIVFAOya7dM0BDbNsqJoo2ZwEDdFk9rkt/PYHRsTGNUUPmrGTBkNYBQL78EgERKySAACvAo5JVsgsGUlb+lzz3duaQkDTVJIpYEXaOtaas/h6FiFVV4qMIzWBz0WT4HYjJLR5CqGLbtNSUCqnA5sNG7qW/duhWpVAo9PT2GdAOtb/p1kOnN8ubNm8fXQQmRJvmcSlWfmUW2Pvgf7hLObdr1WYrEh4u+UVkmO4VAj/aBAA5qcI21++GHH45lMwAqqC9kXMzROtw2ZdV8+/a7T8SnzliCpdNNYFLvUGw7eLqTTZUfaVSR9FzMl9rKj2/cEZpfcTaVCgZAOOV2wofW0qg59cR6MZ9tcJxBW6tMTAc3SRphWmIittFEPZvRLoLSgls0KhriSuVc1zUaTpAua6lS5TGrz8vx8fHIssrVq1eHxsTjjz/OaywBvRQ4RjUqcZNinUpoDVt0ppBtRCagkmk9UUtz4smNwh/y4CMpA6Bq4EZKOtC50byngJd0t0mSRGnaxjNt6Xx37txpBE/pfDO/3jsi5mOCk8fepOzEKCvX6gdp4+PjEfIIPibK5m/1W83IiGFoJx8BEfj6vo+f/exnuO6664y/6Ux7wGTqAILxSfc2gBNi9FHZMaACe9/3OUhvaGjA+973vlB1SzabxbRp03FbeTF+VVqGauDgiiuuwPY9IvmTS4bHEFlC+kB0T2h+12o1JjisPnQhcpBs2yCDIDAB2Ga5No9MlPHYBumHI8nHfPjhh+EHav/cV3mE+TMEeWCsEvaRdAb0qNb1fKRYQakixn0mlWCpD30N2r59O4MTczviE0Wrloo9tgwP7e3tWLlyJRYuXIju7m60trYin88jnU7z/drjN+CBBx6A7/uh6gxAVS389re/Zc1fff97//vfzz7zD3/4Q35fT4SSNJIuj6Yn+wgQJlMJlMCQCEp4Ltpcscf1+sqfsscmoMCadevWGUm8Qw89VElfZOsDdPO6xfiq11Quynzfx/DwsJIt2g/kzaSrtNajjPwMmotRVTp6JYTNMqZ1sqhthzYAHDiy8i+p5kSnbIpNDQzz+TyP23GkWBPchc/SS3ZFhi6nASi5gyjA0D6nDRs2cOUTsShnSMkwWjqpue1PfvKT2J4jNP8bc5OTeF6KpTnR7WBcJl8OnisSTF7E/kkVCbTX6GQQ2idamiJAW6uxWZTZEh9EXNL3Zh1YtWO7DRs2cGUj2RVXXIHPf/7zAMRYvPTSS9HnZ/HLiWXYXCsgm82ip6enbk8MnWVLVTi2JItqQBqgLSuORVUFjz/+OD7/+c8byd6ZM2dybFwLHCYrLOzMs99Sln6qHnsDKnmgW0dHB49v6kdDGuPnr46WyIuyfWG26kSIY445xqj4pPVAl9/raEzjzEO6jSooqhipwuOxrvtG1Mi1GricKDhgU7N9jgCWL1+OxsZG9Pb24h3veAcWLFiAV77ylTjvvPMiOzAfsP/7RtT2sZrc1J2Kscm2yPlH7DkqCyOLK9miINlu0GJnMg899FDWP9OD5927d+NLX/oS1q5di5/97GfwfT/UfOmtb32r0fQrTkewWq0av2s3RgEQWvgBLRhzSKtOvJ/INtRd8HUj7TXf9znj19DQwKV6ZJs3b8Y3vvENrF27FldffTVuvPHGSAcwdN61Rmz3xYJeDTx88YtfrPt52nCpTKhBC0xyWmk0AEM0nkDenBcwI4ay/qQRR5s6gYrHH3+80VCMkgEXHjcPJx1kspFndgknmhwupXPnG+wzskyapByir5OC/P7+foP1193dzUxcchB27tzJm1+n1HHWWbG6FQoFTAQJ3F2ez8x0Xa908+bNfB/Gq+LvC2Z0Kt0gy+m2ZTVIP4tKaHK5HE4++WQDwLc1Ac8991wuu9NlG2xtSRrPUQ4WgJAuU705YZewAsDs1hxc+KjCw58ffZLfJ2eAMqhkOquzaGEPxFLj0mL5XZJlqFkapsSqofUmit1HILbjONyQyAZeABFY607jzj4Fuu4dUECg7/sm01a+Xr58OQCVLHhgnWJ20/WS87ljxw4OFPVA84orrmAHb8RP4YVqC/L5RtimO7HLli3TmLYyA98kGdS1gKVAyPEiZ7goE3Y5LzDYRJv3DAIwEztxJphCUnYCrhGc/v73vw8lcXUj0KarOYdcKsFAR2uTAm+OW9iO95+4IBQAUkIngIO+gcHYLsSURMxIYOjoZSKw3D5cCWlIxl5jLsdBXD2zGfSAYP9fddVVoQZ1APDkhs3y3EzQNpeipnvmNetgJ4G2R85rw0ux4xe249NnLMEPPvRqJD2Xg7Z6urY6m5sCwFKlGmKpAcBXv/pVAKqxEllccpW02OO6FuvmJiSbSQsIWPs0gilMQfLevXuNxC+Z7/vYPSh+N+tUOJCooX5TFq7IkWtUowRgiJlK+1/SWv9E8lutP9VqFUNDQwZgWtZej9TEPtPdKKWBXoLm26ZNm+AHlKiKZrKIdc18/qWKb5QyAsCAxdSle0Qlv3pzuWKxiKuuuipSg5fmP7HfMknTp8wkE4oBJquAdNN9MdLbI2kZ13Vx1FFHYe3atSHNw4mJCazbPoKdfhOGgizOf99HAQC7+4XkQT6iwocsyfPEfAa1wGHm5aKuPAqeONdBP4MaHGZnNWYSaGuW5dzlGrb2qxLsB54U6/PTTz9tSJXsqzxCV0GsDRO16HFC1SY603ZkooKSfM7ZVNIopSar1nyMy6oFYudHWTPpoweiQfDrX/96nH/++bjooovw4Q9/GJdddhk+9alP8R467Atg/6qrrsLg4CA3IiYLgoB9Nnv+nnPOOSyv8h//8R/8/mmnncaJTn0O68QNAnIBpcNP8QJXCcEP7T2zpRvVq7GjKSFBY/KRRx6JJV/kcjlVXj4JQNcm98J9lUf4xje+gXK5zOt5dhIZhqlYioH8aCCOyAgEqOusafKr9PFkM22jmH+9vaZ2dJHHqLofdA/png4NDRl752NbBwEIGZaUlYyg52VXBOt7mn4O9jp2+umnAxDPv1ar8Zxa0C7WSGKqn3nmmQBU480lS5agFjh4utqJEZk8IZ3PpgjJgf1hGS3RTcDhtGbxW2qdjU9Y6b4cVyi2hJM3Jmg7tXFHvhhVFZKRT/2jH/2I3/N9H9dff73xubPPPhv33nsv+58XXHAB7rjjDmyrNWM4yODFWgs++clPTnoexLLNZrM8Nojwwb/PmrY+Tjz6cACm5nSpVMItt9zCkodf//rXGXy1+3xQ9WpZW+/12DCKlQ2o+98mQdtffPIc/PhdR+H0Q2ZOeo1kssdhrD+ha1X/13/9l3FOv/3tb/nf5HPlIqowdctR/xq4DNrqVUi07VbhRjaNPmDxNuXVnYLhefPm4YMf/CB+9atf4c4778TGjRvx85//HB/96EdDXSQP2D+GEVV/nNkOZuBIThllw+0S53TChYNwUF+0nAvS5KvXBfLkk09GT08P1qxZwxp2gNggr776aha8JhsYGGBgKarxGNm3vvUtfm2XF9czVfYoNgByePoGRzj7ppfWRZmelaTmRGNjY1MKSm2bPn26AUoEAfBIRS3ONalDVE/7R8kjiOfTqAUmOogGAEcdpZohqM+7yHqBfE983tZ3peskLaR6YvVk1BmZOkbbOne2NUhd1lqgNjddXoJK4+11R5dGIEdgz549qswnnwIF0mWEg7ZDDjkEfy7PwzjUc9DHut5Eh5i27fk0X4fOYBscHGSdKzLSc6IMLWkh1QPwp0+fzmCl3mXezkorwDV6Uy144hjEotHHKAGkqhFZOAmX9FzWCv39fSqo8iQjztZTIzkOHy5KvmTvyc9QMwZmqUkfknU+LQdDP9enn36aS5d1o2DuvPPOCzXM051Uu8HPXx5RQNtfHlbXpUt/0LkGgWKcEVP6mRfMEuFq4BrPZtq0aewY6iV37373u7Fy5Sr8sbwQd1UWYMNQ/U6uzc3NfB0EprVKgL7iq+CJfptAXC7ZTbtIaev5ph2CgdRQh3FGJpogEFvAnDe6jnCUEQCwoFuUkVLyoCUfBgFtS2tBaN/gCOuf2UbOdEYmnJbPEfNkUJYxxoG9ut1yyy2sWVfPdM0v3XzfN5KMfG5ynWhImPeoIasSFLoR0zYIgN014ay/8ZUrJz2vKEt6Lt534gIsnyGCiak0peAxlvSQknO4XPVDbJDBwUFel173utfhico03FZaFMkWo/Gvg9rEbo1L+DsStNUZcB7MJIy+burgHpWGH3744fzez372M4zKctEsKprWm1uX0aqYtBK0ZUkSU07JBkwcx+Hz9QMH/f39qFQqBlgxMqGS3mPSRzt4Rqs87r7T5n7605/y86vCxR/+8IfIz4U1bWuGpi0QlkcoFou8//zwhz80klBkUWXvE3L+t8lmS2nrPmVSCQbEfTjsw9Dz1KWB+vv7cc011/C/fd8PJTl12wDFWh+WmcP+EQHYFeoAackIqayZM2diOEgjgIMUquhsTGNms5jbQ0FG8ycCNKQS6GoV82Wi4qO/op7lLX8S4HJvby+vpR78kJ73ZNZsNa8a9tPG3CM/Tde03dE7wKBRQybFoFhV2x9rmnRVPckGJZnjhhpz6kaAoi7B9rWvfQ2PPPIILrzwQuOzpVIpUkbsv//7v8W1jI5yUtLzPIPNSHEAlTuTRSVkyG9XevzhGOcNJ4q1Q2faUqUPSWlRBZ/uS+vGDSgb6+91hSw9y+g5H9VYGVCAC7O16yQipmpOIPVgY/YIktWiealrThPbnb7rIDCSboDG/NOTV1aipizHKPW2ABQpRF8X5y/SWPgbxbNJOTWtSZYYx+TfRq3zp556KgCzIZkOFp5yyik4+uijef9be82X+RyWzZJrtQUOAwJUfvbZZ/F4dToerMzG4zWxNpJ+dGEK/s9LMfINfbi89nZJsooX02SOEg9bt241CFBVHr/h6r2oShIgLEGiG1WK2k3t3vCGNwAwiSj6Og8IEsLy5ct5vX//+9+PG264Affddx8/j8marAJiDSF/9eMf/3js53RN20KDBNy147/5zW82ZK36+/u5ATuB+nmnDMdxkHJUXE4VYvpYXLp0aaQEHs2RBrkOtzdmcOLijkl7UOiWSZI/EH1v9P1Tj1vsimKOLydJNqjko4P+cVk9pK2v5M9VAzeUrDlg9W3KHsKyZcvwute9jkt0dcbkjBkzcOyxx+5TI48D9n/eCGBqTJjOycFzhFOrmLbm3x3HQUp7j4KQopZx6uvrY11bO1sVZa7r4uyzz2apgChtzUE/g2tvfgRBILJpcUG37/vGBkBAov0Z3YgRa2vakgbnwOgEMpkMDjp4KX5dWoo7ygvxUiyRSCCbzaKpqQmtra3o6uqKvFaynTt3Gs7Lplor+gK1WZKD+dBDDxkslyijYKBV02vLcmMoAT7pzjE5/q0NaeTTrjxGAqOjo4YjYmuF+oGjyibqCOurjpK0YIvPxjVOIGfND1TDLHpugGJy6SAtYJYFUnODvb192jkmFMAascH/4e77mdl8zgrhKJfdcBDhOA6Dua0NKZaUqAQe36877rgjshEMZZMdx0Eul9tvuj60wcc1vZjdKpwpnXlDRiXOlE21HW2ytqQAGXZqhPpDjxTgYMr6is7qnPBN4Io6WKumR+JzemmXbvocpmYD5513HrNJn332WXbEou65DgJX4Bm6r89tVsyCZzYoMPeFLduYbc3nAYfBWjqnbX3DxmdontKa+JOf/IQbHWzcuJFZwwDw1I5BDATiuYwGKaxduzZ07nwNfoDAYtoSW6PiRzMPXdflud0iGwNSgLq1XzxzW0c2zlRiQjyjqVYjENNu6XwRtLz7VSvQ0ZDAG45dWu9rAOg6xXMdGh2LfLaASqzQ+JrbLu7pWJBCuepPqRP3Y489NiUn0t5P3va2t6GnpwfveMc7Iu8JnVsha95nSkz5Vkk4HWMcSYwjBQc+DpsTDVbvqzEYFRPc1Go1XgMyqQTSJIlQ80MNoagR0Iknnojvfe97WF/rwA6/GRtrbRgeHjacfrpnf/zjH/k4pOlN5e/6vACAwBX3SwezbHkEu4TVvv9nnnkma6y+8MILRqm+F8H4ItMDV07uypLbAiUgq2aDj1zEuusym9dBb2+v0YATAMYqaixRKetB05tjz2sq5mug7XPPPR/5mXryCM1OEUAgSvmt5DwFltu3bzfm1Jve9CZuRGYbHWPBTFF9k7b2llw6qRjUEWW7zzzzjBGkTjaXaQwcd/Jp2FRWcQlpeA/JRkBtTfHgAkll6c1b3vCGN7BOcMEtwnEcHL5IJPCG/IzSFUUNruugq1Wcf7HmGMDptkEx133f57U0Lnldz1qoWVaQQK+fw02lZbirPJ//TrIAo1qjsJ29AyyfkcukONFO+6Ou/w+YCRPblE8X7/c98MADDHwPWdqwt912G2699dYQS99ORgNiXfr2t79tSAl96lOf4tf6+qnL3OhrtZ6Qo4QRzQNbjxoAjl4sPt8f5ELMftqHaCzaxAYyOn5bIVxFo1uBAPgYpm1U+bRunJiNaEK7r+aXRMJ7qkkjHWgjv4rvawQYzsy/OusbjVG9FJu1MuX3uru7kcqqOfzAc+I8UvB53PpTWENJD5nGnZ2EJtmdj33sYwDACZgcypjRXghdCx3vJz/5Cao+8FxVlMLT+k65MSp539+mz9kADhwEaJOgI8sjWOOZ5qCd5FOgYXhc6nJFun9NMS6tw/a+HmX6vr1t2zbceeedIRDzkksuYVmEWbNm4Ve/+hUzNek8y/BCFRe20RqSy+X4d2nc6vJkqhI3QHOW1jr192effRaXXHIJE9H03ioko5CXJBeWHIQXWQW0cePGEGkNUONKbw6/r0bNiuMS9cSY1/21k046Cd/73veMz9HeHEcKIstqVXm9I+L6dVxJZ4JPpdr4gCnbJ6btypUrcf7552P58uX4/ve/f+Bm/5MZlY+2WIHjykWiFJOauESBaCQcDwCLWsX3S1rzgZ///OchLcap2ujoqFGmTaybByuz8ZfKHIw0zja6wNr2gx/8gF/HlcFSaTmdIzUys7tCN0kneHhcLDSveNVrMBjksM1vrsu2jbNqtYqJiQkMDw+jv78fu3fvjixJj7Onq4LVMrtBlXESe/Q73/lOCDzQjYCarhblGCgQzQmBYpRB7GrJ8wZVgocnn3zS+JzO9ATMjaDexsIN7QIPbW1t/D1bjoMsSdniwGGwVtc+IgfcZvjpOpeU8d3bP8jvZVOexqIxtU1/85vfsPObQA2nrBBzY6Lmhhh4XdOms3xEa0Mq8pjkUNjlc5TYoO7mxFg6+eSTQxnUVatWsUMxWSM7Gs9RGsEAcPKRYuwMR4C2lASgY8SxfkjXdkhrSjgipQ5SCfPcBUtfPB8K3BtS4jPUDIV+j7rU6xqm9ay1tRVLlizhUj3So5o1axbrMOkyKbpTXYFnAOX9I6p0dVB7/eJ2U35CnJcTmsPDJXMM0m+RvlmlUkEqlWKWAZWUA8BfdiimHc3Zz372s5HXTOwTQN0nlYgJg7au6+KNb3wjz+1OWU5LDtQeqaHZmp+atnbSMZMd9RgVuunyCADw3tXL8PCa07F0RmHS7wq2ojjf4bFiKMAHRBKZgNFmub915EUjmQAOfnf3g6HvxNkNN9ww5c+SLViwAL7vY2RkJJJxTOfmF03tV5IgsRkH5DwTIz7vlF+W066bDrxH7dm+7/Pcy6aSrLtbqflGwnHnzp18rY8//rjQapWB04ZqG7761a/ipz/9aej4QRCEZI5Wr14NINxYsVwJl9O7jgnu2Uni5cuXoxK48AOlJ62PGRqL+YRvNMSwLUrLjZY3YreX5XQkcCNKk9TTwMj+/n6576q5WqwCixcvRi1wUJQ+GOkx0zyLYuBEGbGLaW8P4KAaoQkPaJI2cjyMjBcxJtfkrFvliooBP2sE1HYzQED4VVR2rle+UDUM3fOD54mqIZtpm8ukQE3idTCBZELWr1+P6dO7sauWj9X8PProo7FmzRr09PSwxMn3bl9n7CO7+oVvMCqbYk5riwfCiLCo+zetra0YlDq/3Xnx/isOFhrzgmkrG/zKdZL9ST9lsJxoXgPqGes+9lSN2JkVeFhf7UQAF7v8RuMelgLPaG61d3AUFcn0y+cyyFNFk7zORx55RAPcanUZXXkG0eLBvbvv+TP3whgPUiG5iV27duGvf/3rlCohdFDh9NNPN9avr3zlKwDEnqe/ryfxzz33XH5N/o49D3Sb29aAFKqowcWABTj/27/9G7+uNz/puROAH2eFLDXo9SJlCeyGf4C5rtE4bcm//JL71kbZHDFirkU17Izq8UFrkE0CAoC0XEgrcI1r0LXRaYw2aCA0NSymOXPRRRdxxRYAbB+j3iQ+7xlRflGUUQXPb37zGyOmJL1isg9/+MMsc9DkltAsm/7qewgxd/v7+/FircBs16Ic+ySlENUweH+YnWjJosJ6+K5VqUKxCsXO9jhTVSTR/gfvb446HsnuUYUk9UIhozjObrpNJIcf//jHIQDzHe94Bx566CFmp1I8DYhqGsW0ja8uAcwxpid3qEJKH49E2PAcNT/16ky9ash1Xfb3AbXnNUmYJCOTgOXAw3PPPReK3f/jP/7D8Dlo3a2yL/bSEriAkraIk0egBLXeGPu4444LsdLJ59LZ71HmOKoqr3dUgrYarqQnX+pV6B2wsE15FMyaNQuf+9znsHXrVlxxxRX48Y9/jJkzZ+LTn/50XS27A/aPY7SIdLeYZQ4zCmbgbeuyASYL4PjFgi2hl4yTI08gib1Ix1mxWDS0KRsbGzmDXZQb8+aB+qwKHUCJazhDXSbtpifcBEluPAW5iVLwMspK+c4+sV4uvvhifv3BD34QF154Id785jfX7WQZZVRWfN7xB4vzDRxs3bqVwRLqnEymO1QU3MzqUmVVeuAf0rSTz3P2tHa0SwZKOfBCza4efFAAIMR+5bKgScr79O7z3d3d/PupiPEGqE7hNSiHSi+jtbWp6gUXQ2Pk2IlmEynSFwo8gzX52GOPGbINbZKlPBEkOBAc8VPYWWvE9LkL+ZiFXIrL/nVHl5z5OMkOAoKp9P+Vr3xlaBM7+OCDuRxbL/WNMhqj6ZhOxQfPEgw3nWlLjg+BRrQxE4hq2wkrFwNQrJkLL7wQg7LcNGM9f8dx2GmnwLFJOt4T5SoaGxs5Q08NUdJWWZsOGOgaUKSNSSwIYry8/e1vZ+BAT+LY8gi63IIe1OrzfHefYPDrbBFqiEXnVSwWje7ZAFCTY2D37t085++66y7u0guIhoHVag0v1FrVecg5GAQBPvvZz4YYZaWqWoepNI1B7hiHbPHixTy3Z3aK3yIHalCCzQTmTmas8yjv0VTXM7o/1ARwX43K0seKZYNtD6h5T/tRZ1OW32+SwNPN+wDaRoFSk9natWtx1VVX4aabbop0QiloW7HI7DhMDZl8OMbvUjAzymyNyVnCU7WUVvYdBzbQXGnIpFgmpVILDK1dYmEkEgmWKqFAsC9oQH8tzQESPTOav7aOGYGr9ppOuoYZbd9S3a/FOdq63ke/8hTcWFyJO8qLuOSSzhNQyaM2LdEWFczoDTLsaoAWliSR4IP8flNEub0eJA8ODoZlCQIXZ555JstXefAxo0XurfKzeqPNekYMHl+7nrjkF1dlSD3rwZExDMh1POkE6EqJsTEQ5EIBpi1nQZr3jz/+uBFs0/s0/2d1CJA0bSUVG7JpQx6BjBLU27Ztw7PVVtxaXoKHNbkoskwmg23btuHuu+9GX18furq6EATAs5LhRuv35h2iTH5CLqMzO+N1olUHdvNcB+W+d8gc4Qcv7BJjeyRQ0gTkX1BwOhaYgKTOfC2zH7TvoG1TNgliNG2U+4gPF0Pa/j5q/fbAaBFE7m5syKIxSw1BxfU++uijITmQOKMkhQ+Xm6DaNjxuknsoYUzSPWRR7Ok4nUfHcYzv+77PMi12M0m9wRSRNQBN05YTMuFrdV0H7RHNyACRiCUfgPoT6L4K9bSgOTxZ06nGTIIT3OnGcFWFfX8ymQxXEIjfEeOofRJG71Rs8bzZxjF1i9KgjCKP0H2NYjBnJGhbDTyjMRxJTXieZyQWyHIs5eGyfB1VbAEKZMt6Ae8ZfsTaThJlulGFwGOPPcYxpeu63Hfgvvvuw2c/+1l8/etfZ9Z8g1NivV57nSBbX1O9PSg2oLlST07u5VjCMyUNc44iBih5BHEOJB0SR7pSCdzo62PfWFbFDAwM8LpN/oU9ZuiZ2zJTBHrafkl3dzdmz57NCRjHcdh/P+2007B69WregydjhxPLNp/PG/OV4h99bOjyiURk0pMq9rgn4ojjOOxnzOwsiN+TZJUyEujt7cW6deuM7/q+b1T3ELNeVU++dNmTmdM6+dyjjHxWXXLuO9/5Tuhz3AR5Cg1xKQm2d0Ss/zquRMzfuJjlgMXblO9YuVzGnj17sGnTJsyfPx9XXHEFLrzwQnzjG9/AwoUvrXT8gP39TV9UKCigEjUyu9EAlYXpRsFNClUcvkDIKdiatuVymXWepqJvXK1WDdDRdV14nmJ2UlnLcJA2tIZ00xsSLF68OPa3OKjUsnRAuAlSW7MIxsYlhWakpDa7Kty6Y10HlL75zW+yg3j99ddj9uzZ2L59e2SX7XpG50cbRg0uhoaG2GEpl8tGN9Rf/vKX/JqAKAJqANEYhUtC7fJI+fm509sxXTJQykhg9+7dkedNzBraCKI0wXSjUroqPFT9gDfZlBcdGFB5vg+H2b2kUwqEZRFOOukkg62hPw9qGEPNJpgxCAVKf/e73xXvabINVFJEY/0Tn/gE/lRegN+XD8L/vkd8L40qPNfhrr1RJSikgRpllF1NpVJG506yn//85wws6yBklKNMm2q8PIJsjBKk+LMECJDECDlzcRvz8tkiECam7ezZszkwy0Y4FjbTgkrEi5UaZsyYYehnApo8ghwfOpuT5q+uh22XQycSCR4nBIQFgdVoBR5qNXVeBtCuzYveQaHTlxRt0eR5CYeRnuk999zDDDkKoClgueeee/Cud70LgLrPl1xyCQARTH75xzdhTAuwi0GCZT+CIOBSMDIqx3bgM3Mio0meAECv24pfFZdhVy3PTQ8JGKC1gJJww1XxnRnaGlHPbKbtVCQHKoHLjnTHSwRtac2aKFdDe8Gll16Khx56iNevmR0q4G3PSIau//dhtEzVCLQ6Ypm5RxFoS4kAMir5p+CwPbv/nNu0XG/rab/R3pvLpJGVDSGrfhCpq0gBlmg4pI65oaY+q4OngGC1kAa+brb2ZFkmKXR9bcVcFedoa+O9OFBCBR72+g348Y9/jKuuugqjo6OsHU7P4qA50xmEpbVB/339Nf0WJbJyaWoURowxKUUUofvHzODAwfDwcCi4LwceGhsbuXQ255RV92X5WTvAizI90NWBzyrcSCklDsYlaDs8Oo4+ud6lPWBGXhxjQM4dnWVtN5895ZRTsG3btpCeM2kzU5VXu0yC2kywxlyWmbZ6co2YukPDI7hti5RICcJMwmKxiG3btuGee+7hZq97gwYMBVkkUMOKgrg3u/pFmS7p6teTR1D6mea50vg5bMlcAEB3cxYeavDhYpMc85QYsRuL0R4yEqSVrqErdX5jZKLqmec6DBDrZeD9mhbxqFVVM1KsoCpdrkK+AU15YvuL+97b21sXcNOtQUumVOBFJrxsEKVtrmDhPfDAA+jp6albofeHP/yB90vdgiAw5ifJtABTr/4gozmWirnWZd0CBLVBW0D5YMS4030y0nbm8vJJKiVcV+gkA8DM+dESQLrR+vmRj3wEgFrPuzvCgO++2ryZwt+OYtpSozGqHtMTt3pClWOriLiAQVu4cF2XE6/k/7a1tfEYzWsNcTNaj4R0Rrw/XjLXIgDIpVxeo/X1hMaa3lyJvxMxbpYvX85Npu644w4GtygJ05ZxDSBZt1NOOQX9fha7fXVPKHnOQFxMRdz+MD3hknM10NaSoYlqHAkov5ritFwMaEv7W+CKv2/bto3vM90vm51Nckh20/I4u+iiiwxfmI573nnn4ZhjjsGf/vQn9j1oHtx///2h4+jnYSd3yHTZNJZPdIl0JHu9aGuavu+SzEAQBBwTzJsm9oSmDFUoe6hUKoaEgy07BagqE96nXwZo290ljl+vsake459++umRazn7QVPQXifMaIds+qmfPskrvFT5p//JNuU7lslksHDhQpxxxhl4//vfj89//vNYv349zjrrrFD5wAH7xzG91IEWkcWzzTLv1oaUwSRLRzDs0tKxb/WKaG+UTThgOiE//OEPmTlYr2yf/n711VeH3idwVXRJF+cxHGRiAU8d5DrvvPPq/qZutHjrizIAdLQIsLIoPYaRolqQq4GL888/H2vWrAmxvQBTVDwIAg7Ch4aG8MQTT0Tq1UxmtKiR3pUOPBHT8OGHH+agTH/e5CCQjiWZruOnL8xKnzWNOdM75TE8jI2N4Ve/+lXo3E466SSpyUbAd32miK6buXNvP38vE8Po9CTT1g8cdoD1MaBvroBgqVL5OSBKlskoICEHMq2xYrdt28ZJKQBIZIRznkQNrQ1UEpNApeYjm81yeeQTVTHWqSM8NaEhp4F1KaVjEqX5vXv3bnYg3/nOdxqdO/VjkOkBTlS5HMsjxGzw7fmUzIA6zMAhp43mHs2JONb0gk7ZsRoprDpSNAEZlRqBDRFNS+xxQeOxXBVlVFXrnG2mrS5xQBan5/zGN77R+Dcx93yrJDnQmPO+75ugrcZAJJmUhOPzvKnBhe/7OPHEEwGIkm7KqjcnTdB248aNRuOscrmMpqYmHpt3bRLjmYL5Mjw89dRTzDDSWZuJRAIlSZHyNIc8Y4HcGytNGAyy2OIXxLFdV+lby7LHpGMCXzOnCNqmNAkQAHWbz9DYJZAjgdo+d0cnI/CgWPVDLJmNGzeiWCwyMLRotmo8tKBTrNO6HMhll10W28zs5Vhra2to/LW1tSGRSHDCdLpV1ZKWJYc1OIbuG7E+KDicP62w384zkzCBxiijhE4+l0EuIzt2+0GshvGaNWtYf5ZsU7UNVJlP8kS0R5bLZYN1TmaDgRV5gFxaJeNs7VO74ecTzwityjI8BIGY3//+7//OOuIMui1dCCndzvNV15rT93PFMDGTYgzakvxIa3iNZw1BOBgZGQkFKvRdakKWcyoM8NAeOZWmpl//+tcBiHVCByqqgcsMNkBpf9J5kAb08HgR/cNiPcokXBx68HwAyo9ob283EqG6jY+Pc0lxR0cHv3///ffDD5SvSEx7e29pasiC3tLBR+7qXStgRDJci0ECyWQSPT09/N9HPvIRnHzyyZg9ezZXAJH2bJc7ihmSmNA7LJJ5rP9Zp8kWsYH0QPfZZ5/l7xLg67oOjpsu114J2mZkYqTBWu9m58S+MhKk8Yc/iGeSbmiW34k9lbqW1hoL0z4yoAHbuhQDAIxXfB7PuUwKBZlo0H3LeoCbbp7rqMaGgWewWslsoGDjXrVn3HTTTbjyyivrVmxce+21kb79t771Ld6nae384Ac/aHyGAEbATPQa50dyUDHR8JnHHgIA6LWa8p1wwgmx5wwIfVTf97Xy5skfcFr6SmNTUEM56aSTACiglNaKtuYwuLyv1inZulGgrV3ZQIxiwGRPM/AfwdYOKmINorWPnj8l248//niQElRTgw7aqodEVRjFcvhmNaaTyBGbDwoUprL9OIm6M844A3+rdOGpqoh/dLmepqYmvPe970VPTw+v1UetWKSaO1vj/Pjjj2em/7SEWL/L8OD7Aa/PmSmMiZdqekzflNT8SGLayvPV4widiU7VFNVJQEP6nUDKI0SxmOuZjhXo85Xs4osvxqOPPhryDd773vcy+Pv4448reQT5f33PI7v22msBhGMxIgDlcmZVCeMDDiVVqEIzWn5FN4oJDpoj4sQWKUFGc0qXw4rC0Cgpsy/rR5y1F8T11ms+q0sjxMVXkxF6dCOCx+4hMad1XImaMsYxfw9YvE0ZtP2Xf/kXJJNJnHXWWbjppptwzz334Oabb8b111/PHTsP2D+eUSdDQC0i1EWSzHEcNGjll1EsPcqadDeAgaxikDA6BdNEJ0e7XqOsq666KvQeLZbnnXcedu3axQsmsaT0BgSA0B4iKxQKsQFlVAkobQCsp8mgrVjcSnLd7h9WmUC9+c6ll16KSy65ZModHKNAT7JMJoOzzz479L6vsQNJT0fXumptbWXHkfRtdZCHSvWIpUvGHbPh4q677tI+L5vl5FLokI5fOUggCALOIBJQBQhHq6+vTzUUm8TBT3ouPLnp9Q2P8/eyMZ3rE57S5aMSJT0zG6WtRaXyAAxReNoc6NrpN4kd8sUvfpE/63tK27mQS4GyqwPjZQxNVLTgRjpecnOirr00TqhhG7HO3/72t4fOl9i9gJBKoEYINK7e9KY3xXZWt/WgxHXWB20dx2GtQpJIILakakRGrLLo+ZRPJ5gRsuwIAdqSnEhjNqxLZwd+HaSXVgvQ1dXFziOx6WxNW1tDGbBYcJqTVS6XGSBqampix8jWbwaUA7N+/XpDHqECj9nPYyVxnUnUQl3riQU2Njamyv8bTAeenic5lz/+8Y8BiMZVfuDghZoAD1cfJIL9UiBKzY855hhmVQeBqJJobm5meQTdISdnjrTbyjI556YauEECjUlKnNjs9ubc5HqCgAIWuBStEma5kNFz0Rs/7UvHW93oeqlkUjcC5inpNK1FAQBHLxPg+LCmR/jv//7vIXambvsqsfWBD3wAPT09aG1tDSVdLr74YlQq1Vh5CF3aQgfAadxQYuXQxaaswsuxhqTJSIkyvUswaQoSMd0PHOgyqWvWrIHrutzEChAVOeNIYacv9lN9raIxQCXFgOoMb1uUrqFrlXfaumtPP7+JfgkfvvQT3NWdgB3upt2cM7oYA/GsI6XzTXuWyW6ntWR6WyH0XV0eYXh4OATaluW/x1kKo4Jcmo4vgOep6L7RfnjxxRcbwGcVLu/fdI1+4PBnGuT2MjpewuCoCLCyKQ+zZeKW1o4nnniC1zHbKBieP3++sSY8/vjjKCEhy5YD9h1teYSmfI7lkHxrrQ4C4G8VtQcUg0Ro3WlpacErX/lKXHjhhfjkJz+Jnp4elRR2fUyTYDo1IlOgbXwSibQqK/AYTLrnnnu4aqFJA3x/cPFrMCetqoByMjFCGpxkR88ToEgVHh57RhAOUg3i3HIvUbMwA+XfvnaRWPtMpq24580JMU8mqirZkPJclvqoWmMGiG4iZRsDGQhLaQHh5ND2oQqX9bMMzCQVaDfeeKPxb1pDrr76at5TATNhAMBYj/UyfN0YtI0hDxw+T7DUBoKsIQHx5z//2WABf//73ze+9+KLL2JgYIDXWXssRBmBtk8+t2mSTwJf+tKXuJIGmFoiYqrGDeYiQJX+/n74vs/JH1p3EomEAdoqHfDwGJo/S7D2K/AwPDwc6hexYsUKrWpMzVGdmcqgbSVMFmnJZ5Bn2Q+HyQ5ULRC3ni5evgqPVGfh4cosVAMH06dPx2WXXYaenh5ccsklfJ60Vh960LxQpZNuuyTL9lPn0H1xMFKq/h9h2uos+RmaJCK59bTO6r40JQLIRIWaOMc4pq3StA2DkfWMqnaIEev7vjGXAVHN2dLSYvgKgGgIp4+ZUqnEPmkNbqjJGmCW/tvs/VtvvRUAQolkJYskqwFlgkzXVadEr02iIZ9vWkHc+y6JLZQtslsikQj1PAHEXjoyNq6qnmI0hadi+YwJwEeZnsiIq+xRhJ7J/XiSPeyTmrY6aEs9Aeoxfw9YtE35jt1www14/PHHkclk8IpXvAKvf/3rDcDngP1j2pYtW/g1LSJRJap5rXwianE+fqmg6r/x2KVozVEnwgSOOuY443PPPvssA3v/+Z//GXlOUYAt2Uc/+lEsWbIEfX19DOZMIMkOCQEy9mu7sYluBJrRIq+DYPaiTBpdtAFs36OYqNXANX6zqakJn/nMZ3D++efH/jYA9PlZ3FZajPVV06E8+eST0dPTg8svvzwUtAq2jJqeUUxbAHjVq17FmW67lJo2Bxu0pdLoauCykx0EquSjpSGJZupkazlt9qa+adMmjWk7FQdflgcWq+zMx/myujwCNeCKK8cmp0zXUu7sVDIgFYs5kqfSx8DDyMgIB/7nn38+hsZokxFMkrQMigbGKtg9LP7mwWdWS84T/yc9Q3LSSZuZ5D6i2H3kPM6ePdvYNOn9JUuWGEC5DvLqWWnHEUAKbfC2tqxupJ1nZzkJEOc5USebSllUaugyIRmgzRorgsweF10tpAcpSpvp93JS3J4Ceh8ugsB8jhTs6YkYfZ259957cccddwAQrAkCDvV5ozODACFPoTth1cBlp6VYo+v12QmOAoBZL7xJshKtefqmN70JgOkYJWcfghKSyKKCc440WW2+77M+91PVLtxYXIm/jeRYHsFg2log90RNarxqt53WzzwB41aAaq8RccZs8n3IkE/IdSjnTIE+FGPMDolwWWgeqEoBBUAfPEusubauY5yN+kn8srQC95WnDpJ+97vfxdq1ayMBi9/85jdCO1ber84mC7T11LOLYlMS03bRjHD53Es13uPquH/knDc1ZDn4rQZAtebjV6VluKV0MIIA6OnpUYzqikooLE6LQP7FWiF0bGLO65qxcUFClK6hXd5pW++gSubd8+AjOOOMM7BmzRrMmDEDQWDqK9tzJ07PmJlRMkCn/5OPQmtJIaIJkK7VWiqVOFBJgxLHHio1H+MQY6Ml6xql1FMpIdTZTc3NzcYaVYPZ7OPFF180jtkoN+DxUpkbSjakEyhQRYS2NuokANtaWlpwwQUXGMFxtaoSFhlUWdIl1CgnlVCgrRVw7/bz6A3yrPdZRiIyKNfN930NLEtgbrfYQ8YqUhrESmJFWWuT8KuqcNmP3rFjBx9X/27Sc3Hzp89GiyP20LxkttmVBccfsgA5CB9mqErzMBH52ala2hXzrsMdxTtXrwIgmseRkTzC8pkFAEJDmZnjCRfZFLH9XQZPq/vg0+mSObrECyAkEOzk0KCfNpr9fO5zn+PXlJyPs09/+tMATNCN1v+ovgE6GBwnw6A0I6Pn2YxCFhlUEMDFQGCybX/wgx+wDmcUe/OFF15Q3d+nALpkpS85XKzihWoLHijPmjKwUS++21drkhJWUUxbwIzhKKExbdo0gzhD5x2lFUwSDuXAw7XXXhspbcesPm2tcF2H/e6i9IVK1fAYbS/kec+oBa5i7FtNK2176HHBuAzgYPmhR+C9731viAXu+z7vy9Obs4ppG7FO0zXMamtUzVQ14kfcmNsfpvuIhy9Tsn5J7hUiflsnv+iSRZVKxbimOKanLhsGwKgYAlSCxa6+ff3rXw9AJMKAcH8WQFSF6IQaQEjUkd6rbrpPms4LgFSPB6l3TlTlHq0TtmQTEVhoCFLspAOvdF02MYv8UeqLQtVs9pyiPiW2xrfruti2UzX4y7yMRmRxbPAoo/UsimChmkZPfpy0lNkcmJCVqNr4aZPM3wPyCPtu+3THZs6cic9//vN48cUXcfrpp+P9738/Vq1axWVnB+wfz8iJqgQqcCRdMd10zTwqC9Nt7ZuPxyP/uhrnn7QCzdkkO9DrN20xPnfjjTcy2GA7cADwxS9+MVY64corrzQWVD0oo/JWYtfqmrme59XtPEtAK5V+6I4hBV2UZSd9IgL5dverDa0CL7LkYuHChejp6THANUAAoc9V2/Hb0sHY4TfhsUo3mpsL+PSnP42enh6+T9TxmcxxHFSrVWNB0zVtAbOM8+Mf/7g4P419Ug0cxdLNWUxbTR6BsuUVuAjk51tyKWaR6BuM53mmbp7vY9u2beyUx2mC6UYOfrGmbWqN0RpkXgzzJsrovPTum7ozYmf9G7PEJFABred5WLhwIcrS+cgmiEkrjt03VsKuYXG/mpwiXidxnYO7RHDXKq+DwBBy4ok1pzMx7ADiggsuMMpTdNO1j3bt2sWdUXW2oOu6BqBVT7ReaRqb95XGAt1vO7DWjVjV45KJSo5zIULT0Ww0F3DTq4oP2U1d/E4+Syws9bs1OJwFB6K7FOtNDgYGBhh81llhNM89+MwMIidv27ZtBqOkCpd/h5ycpBsosMhyfGqBw07c7LYcH0M3PZihjPydG8X4XJgZRnteXDslSahxIgCWORhyGxXTVptrGQ3krtZ8FH3x7wkNI7VBioyVKW+aIjunibqV12Fp2kbSAA3evjfaIaPAL8rJKxaLMukUBm1bcrSOqfnmOA6ampo4EaTb49VujAZpbK2Fg4I4o/0sqnT8scce42A6iZrRCBLQWeWOodcNiP2DwOYZhZffEZyMGYR1mbZyDUwlkUmrKo89IyUMBxn0BQ2YMWu28Z3+IRH4ePBxzLK5AMK690BYg5YsspmNXDqaGtQeQSBo4ESff1mbn489JaQSXNfFe97zHlTg8XrTnk9zIxhdKgUIV+fUGNiR8yfEtKWkSPh6FUPfQa1WUyCO1hxmpFjFiC/GydHLF8lg3gQY6xnpPJOGrA5q2oHarl27+BwcBHzOE+UqxopUMZFmtt1UEzTEaCajoI9BW+160xZYkU54sUzbp2Wp8lHtNeiagvUkuH7xi1/wPlzIZ5hpO+G7KFZqPAaa6iSrqKFTJXBZiikIFPvQ/m5TJonbrngdPn7aIvyvD4rKKcHIVvvfvI5GNLoCtKUO9INSD77Q8NLAtvkt4jzOP6IbB00T5zyOFM89qqg5fL7SKdX3eJYjClwGUGi8RzUlto0bsEaMkz//+c881ogsMBRkEAQB3vzmN4vfkgnzY445Bu9+97uNainbfN/H5ZdfHvm3RYsWGf/WE/z2Wq8DrDwfY0Apx3HQJpuR6WA4IHzMes1hb7/9Do67clNg2uZlBdhokMa9lbl4ptbF4982nUBRCxyUqIKg8eXrtzfVYdrGmQ142VWMulFzZDp+VDWZnljQjeKXkkwSUmKvWQsBu9sLhl48mf7co9aPW27/E79+6K9PhE8cwN+eXs9Sg9ObMzxuyP8yr0Elqag6bWhCgaEvp+R9MtMr3BbPUpUKdDtpj48jwujSHkA8K5gbmwWmXBHJ1FBMr8esgIrDK5UK/vznP0eex6ZNmzh+AgRGYGsP016t73Ovff0bAYAJHDoW8dGPfjR0nWT2OdA6yf0jpExkyfKdarWa8Ru+Nh/Jt6dEhU2EWr16NYDoytEdewRr2UEwJUmCOFOVQZOPN8JLaH3WzY+Zk1FGMcaIvKUNWl8CqsikZxbXEPeAhW3Ko+Ab3/gGrrnmGlxxxRW4/PLL8eCDD2LJkiXYtGnTAU3bf2CjRUjXFbR1tgBgbqcKUqM6IDuOw2Cvq7EPn9283cjIBEFgasJor7/xjW+EAlM6dlRDAn2z1RvJXHfddYY+7Pvf//7QMXUjMIocbz24sLO5SktOLG79I6ocvwo38vzJTjrpJPT09GD+fMGaW1/rwH2VuXwdRSTxmre8ywCYfd8PbWbvfOc7xe8xO7SmmD2SfWg3eqNmBGQEIulBGZkCQNQCTgw/Dz4ySY9B4jISXC58zDHHGJplN998s9G0Ygo+qZap9DAkS5ZPPmJZ5GeTrmLa6hYngwGY8gm6fEaFgxAxHlukQ6cDF5/61KeM98ihykomy97hIjbuEEysxkQNX/vA6/DnT56Mr39QsD9VkCe+t3XrVuPcdC0we5NyXcVyoeujcURO0EUXXQRAgLjPP/98SEN5qqCt3XwHEKw3JRkyFaatuI+jErSVffsiOxfrp5KAjwbWChQ6nvR7xIwwQVvzHGwdY/sexxn9hgefEwfVwOWu0zqoVw0UkE+Bf9rVGAXaeGxsbGS9RgcB5shOsdXAZeeSzpEkUH7yk59golzDFslC/Mw7XsOJFZqHKnh2uAHKSDmI1LTVHf9i1WfwsiQ725eqNWZgE8vSDlCnyrTtoDG+D8Ecrd2N3kt3zJKWDpttVaikhQ7aqnXMw3ESDAiCAMPDw+jq6jIa+40ig+elJuW+XB8gWIb/+q//arxH5X96gynbUp5a1+29pYQElyZOa95/jdSIQViXaUvJzITLkgC1wNR41xmtAPDCVjE3E/CxaI4MyKZwH2m906sI6H0iUTVqDH4iibuJ6DGrr+l7BkaMv5FEVBJVZFNepG4poKojyGgPIgkXmnM1Bm2l/xAF2jpmsofLsR2fWf+jxSqzt1YumiWaZZIkyBTYMeRn0R5hNl0UrylZNDAwoPkWPjfsKZarzJZuzmfZb9DvZ3Nzs6gCChw8WplhJDdsbT8K2umeN7iafIa1t4hxphIYulHjsQ+ffRz7ncUggUcffTT2fqxfv57llwoNWV4HSoGnjeEA+TrNobpaCwCEn0RSXwJkEucXxdLtbMzg4lctxnSZZNGfIwDMaWtAR04Bc4CaU+3N8bqu9ex/f+yN+NPHT8LHzjkB+XQCjY7wd/v9rJH4WdotdQ0DlbhIJVzNt3RY25GkdqZCBKR+F1HjdHx8nMdPq1eEgwBVeNg7UuLxAYiEF+m4n3LKKVxRY9sXvvAFZDIZbsSrGyWzyaiTO6CAETJdq5QbhaXj98CsGy6LJotrkgwo2SggHhTWrSCrGJ+tdrB//mS1K/Le6pWuFN+58EMkjZdiBNrW4BmSbPWMGHpkNIaiZCdaZUUCkUKi5OO4FNtaK4h0UJS+EOmeL+tWOqXdHa1okj6+D0f1KNCAsSh5sbGqOtcyvEjZjj/e9zCfRyGXNHztcUuqgeZZOuGy9EX/WFmriPt7yiMoH1GXRKRmmjb5IMr0GNR1o8cB+aJlCZ4TyEqVrcRU1qtUbbPj2RNOOAHjQQIPlmdhSGpyr1mzJpItT/IKuj+TzptJd9J71zV77e+3tbXxHuZasSeN4YYESZCZ52GTufSYgOY0/b9sJbLpmqKaUO/pEwluTzbQfqmW0/wVv04eTv8N2wcC1P2YCtNWJTNkfKdJ52Utdjo13j1gk9uUQdvrr78e99xzjyj3qFYxffp0HHPMMfjSl76E//iP//h7nuMB2w+m6wpG2arFijXTEsN81I3Yh7sHx0K0/l/84hfcWZ1YpD/60Y8iSw9zuRw+85nPGO8NDw9LLR21gAxpjWR0yQcguvNilFHZnl6KQ5snda4n3SnarIYnVKA91TKlCy64AFdeeSW2SlDmyMI4ZiTE5n/LQ88an7V1ej/ykY/g+uuvBwBkZImHAFJN9qFdStvS0mKAweRcplANLfYpWbagO4IE9FBQREGO3rDp5JNPNgKldevWYWhoSIGcU9C5UQ6+hyEJ5iydGd5IAU3T1nIaoxp6RZmuT8hBirzkDmJ7QkkZ0OZJmz8xjfJyj924bTee2iQC39as+N6s1hwzgrvbW4xjDg4O8r0nbbWoBnYADC0nCsDtpkbd3d04/fTTASC05gZBwMxZFz6fU5RRabwe2N9///1SExnMuK6XTU1Rx3HZqKssAcKWCKat3mguCV/T8RTd1AmIIyc74bnM5LdBW5u9T/eNSq3ImpqaDBCMjiNAWzkG4XFZsc4o0YEmpbvsqhJ9jeG3cuVKtbaiwqBmFS4zfSnBRI1QKpUKvvbLP6IKD3mnhCPmtimHDp7QspaAfK+f43MfKftKHkFj2uogd7FS47lPAZEOtFFSyq6mqFcmrNv0DjFXpwIkke3xxVw7/4x4BtVk5gYk6eFgzZo1ocqKIiedTDZrk7aOHXXcK9HT08NN4LZs2YI//Ukxa9aVp/HYr8LFe9/3PrzqVa8yfqffz2JvRBfxKPYoadQmmwR4m42Qh6C54AdOKJFDYEsW5bpJmH21zhYF3sSZnswk/TIfDoaLyn8YHisa39m+W2jjJRyffYipMLLf+973Agiz6DOZjKZrqI5Dw91LRjMTK0Yy0vx95QeJex3XxVgHdQC1flBzmwwDjC5qfmCU4ttmM5t09j6xD4eLFQZtSX+QZYzkb8c1ePnjH//Ir+1gUz93CizHx8dV+Tt85KVecLFS4wasrU0NvCboa+PQ0BCuvPJKbKy14onqdDxUmWWcy+OPP86vKXine96cUfdYX+MBsYZRIBhYz6KkyZ6Q31kMkpFNrwC1f9I4aG1qYCCrHHgYkWM4WQeIAFSQWQlcDAwMYO/evfycPfghXd44o+eYQQX5dAILugSgQAzYcZnxnNY2dXa/bqmEi3ntak1qccS+NxDkUEKCwb+DplEzGs9gMeqscfIrA6nrH6fzqpt0hWITNORP5Twfeamn/+zOQVx33XX8mVqtZhA8DjvssFiphG9961vI5XJGzwJAJLNJ3xwwK3COOOII47O6tBTNhSiyClmbTHTtC/PUcRxtXQmmBNBRLwnS3XYQoIQknolh2wIC8B7Xmhi+HHCHLK/5A1HXbLOagTBb1q5i1E1fW+JIGLUYP5TAyKKsOpLYLVbOblPHzya5KqIGl/0p3/c5WaDv/WQlK3lPzRV127BT+KA5pwzHcZBOqLWsqOm679mzh9f8dMJj0HbXkPJL/65MWw20naaBtimWZJpCBaO2T8QZhabEeKZ5fPDBBwNQpCm7gR0QLYfieUKy7rlqB56udeHJ6jTWzY+yRx55RPZ/UfdyrFTlWEtPJlLzbt2IIPH617+egUrSPmYCixyDTbKpQyJnxqD2XkSJygyqHIsxgSDGJ4rqD9Enq5cmawg5mek+cZTEGBmtHatXrzbkq9R3oxMpUZa3qveaNIkruydAXC+BAxa2KUdef/nLX3Drrbfi5z//Ob797W/jmmuuweWXX473ve99kZ09D9g/lpGuYFTgCJiaeW3N0cCSbsQ+HCmHs9jr16/Hv/zLvwAQwN5//dd/RWoJzZkzJzJj/tvf/lZugbo8gpjwtJiS0e/EGWVW9dJVffFXWnWSDULsEngIgoCZhPSefsx6dscdd/Dn333m8Th+kdBWvPVRtTht377dYIaeccYZaGlpYXb0WFH8P+GYAULcoquXdpDzQY6CbuQn0ILpuq72eXG9maTLzEL6m+u6IdCsWCxOWl6mW9ZTLBMqMdIDDt04I2w5F1QCSkbPVhfUt40CBzrF6e1KUwswS0EIqGuWTnxBRiUv7urFlr1Cr2lmW3iOUNdecnJ932enhJyBD37wg5g9e3bou3YiAhAJDUo00DUeffTRWLhwYeizOtN2suYhadZjVPeVysZ0Ry5ZJ2CjhlQ7ewVYRYBxLgK00BMOCaemmv9IDT0VNGnMG00nS2dwTExMsGj/3r172RlfuXKlMS5OP/10PPzww/xvapLgOQGXc1YC1ThFd6T0Uml9bBOjICHBoj179uCEE04wyn+JrVMLXG4SqAeIxDr47ZMCoFqen4DjOBrT1eHxs23bNuzx1Tgbr7ksj5DQAA/Hcfh+jRarrJFIAMNoUWumJh1IPUBNoMblX5PZjE6zrHEyqwQu+qUO4PEHTZ/k0/HGki6BCPJsXTJaSzLW/pZJenxveofEWvu2t70Na9asMRIoQ34aG2pt2jcd/P72P+KEE05AT08PTjrpJPgB8PvSQbi1dJBRgk+Ors0WofV4qCSeVWMyPC/TGvhH7G7anwjE0/Xm94dNby8AqM+C1VlOrC0eOBieUOdStprCESskAZ9ZmmV4dfXmgehGg4BIcEWx/uuBtjt37jSTkbGgrbiOZsn4svdUW5+SzoOqBAx2e6VWXx5BLqN0TwlES3uq8qR3tMRjmKQwEto6BZjgrG4kpaLLM+l7JoHEtMf4vq/pTdaQl2tBuRagJJ9pW6EJjbSWwUUur+bKU089xV3Rx4Ok0bjv17/+Nb+mtZkAKLsJn75P6UxbX3YhHx8fRxAEKGpa+9T0s4REbMMbSpDSOOhsaUJBqxyiZmSpCN9ItwZmAwnG3e23387rHpU6T8WosqPRFYDlkUvnAxCgbTKZZN30GR1tkd/fV5spCbv9fpaB4RzKXIFQg6v6CSRcpeuszZumQpv8++TATk7rDwCY1U6AGu+ZhINmCdp+62dmw0YA+OpXv8qvy+VyqLEP2d69e/Gzn/0scj7ceOONhqZynOl+LJ1fc4QeNRkxQ+0kVJQkDplIpCvQq16CgGxmR4FfJ1DDpScJX/HJ6jTsqDXir5VubKyKxGlnZyd6enpQq9UwjvqknH01z3WQlGM8CmTSGxvGWT3d1iYNwLrsssuMv9H+FyePoJi2VDElPnfwjALHLE2ZhCb7Yd53IhnZ2quPP/64AdqW4UWOpdGaTHzLyhnHcdg/GddA20cffVQxbZMusrL56wu71NirJ0H2co1AW5t9HVfRAIQlI+wGzpG/Iy+haroDOOSQQwCohHaUHEUUENvZ2Yl169ZxzF8KEnWrK0dGRkJl/yPFKt72trcBELraQDy5i8DSmTNnss923HGiVw+TumT8TeuAnzDXCruxXTFCEihKcmTp0qWx11UulzE4IpJoU9EWr2e63BIS8ckpekbHHXdcpGSBH5NIibJmS+6nWSMDZi2NXT1GOmD17e+3YhywfyijYCWfiJ783ZpmXkfr5Bl/arRQRPSCqjtuUTT74447jmUAbHv++edDQRSV2NrBFGXz4oyybNQUCjAZPdy5PmWWDQdwUKr6GK+oxZiCgKhSHtsefPBB/nw+ncS/nLQKALClmIYv6xP0sqru7m4cddRRePDBBwEIlhGV/yTgSwAtvhmPbcycjQhMiCVEC+asWbOYqUagh+M4SGtdge1nTBphQRCogHUKupjUIblXdjfOoRzJTgIAj1lDptksuzlzhLjsL37xi9AxaBOuMRtYHLOrVbFOdPN9nwHeFsmu6JLdP3cNjKF3TGzCS+eayQNANXnSQQO9/Np1XWQymUkb1wGqZIb0XPVxfv7550d2G2XdXgShv+mW0oAiMtqsfQO0jR9nNIb2DogERpXnUdjB17O8CSm/Qb8/Pj7O5ULd7Sp7zaAtXJaJAMR4o7Ir6ihNoI/Oily6dKmRKc7k8nxckvGowMULL7xg6BQCCrR97rnnjLFNTnBaHmvDhg1IpZR2YD7h8/VXoIBFPYP+7ne/G6XAw3ZfrLGffc9ZAMS9JkbWrAWCofvLX/4SuzVWZynwMC7LLe3mHhQ07B5W7Ee6phENtCUr5JUDld6HBmHMoIwB/Ozu3b1+AwI4yDllY4/ZV2ttUr+7fv16Yz0HgHSjCGQzEWAKASx/fVKxsFzXxaWXXopLLrkEruvi2VoHAjiY6Q6B1tnnX1CJlBNPPBEfuORyKVng8n4KKIddl+wha2howIDsCNfVFL7+qACKwGRi2rakJteV3BdrzpGmrZrfNgius5wSrjrHvmFTLki3gWEVYOS15GdnZycHUFFWLpdDOnWAKFeMCtxJ+9RLqn2AAoz777/fGJvlIMFrW39/PwOIBG60NIa7GG/ZssXQ0QNU4N8oE0s6a65/rISAQN0IjSDV+MVk2qY9h1n/z+8mRk2NmwDZTNuoxJ4eCJPGpe/7BlBRjQjOq1qCj7Qfy7WAKyZaGxsMtt2bL7iQX//wV39AbyDvG7xJm4nQXJnd1Wq8r4O26YSHtEycE9N2z549GCvX+N+FbAoNCel3Rmglk1GJP42Dae0Fg3G/c0iskSnUB21zPIZdlEolbNiwgQGsyQBf3UgeoSMr7u3ibgGIjgRpBEGAkhwPzQ2p6APso/3LaaKiod/PcjVT3i0ZCQVOHCQ8Hsu6P5DKiTWoXkNTsqasCUZQspQZzyQ/kPLQ1SDuAfnza9asYXmzkZERnsfXXHMNAOGH2qAeYDKzSBKE7Gtf+5pRih0F1uh7Mp0fdTSPsvbmaKZtrVarCyjRGExOkSlHDfMAYFWhjA+cuhxNThElJHBb+SA8Xu3GnyvzcOgrjjWSYcS0bXwZuvG26VJmtlFCRu8b8M1vftP4DOu2RjRg0wGsbDbLz6gaONxkSgFm5v1VmrZmb4aGlIdDOxNoSgZY1NVoJER1O/bYYyOv95ZbbuG4CVAAvV49ACi5I11Dl85Jl8N4fsNG3hdSnot8WpzHC7uo5L22X1jRcUZYuc2+Jv/bj1i3bXalnnSIs4S1v5FRnBanV7p169bQnpZMJrmihBJOUyEI2FJPo8UKOjs7MeKn8ERlGiqBiw996EOh78WdGyV1WMNVjmFqojxcrO8zE9M2p81HImZUtUqH1772tbHH+NGPfsSVjC+XaasnFhqaW+p+lirRbPMDGON5Mmu1qi5btPU1mzT3nLg+BwcsbAdA2/8hRo5ze4xj2N2sAsp6ZUJk1OCFAQurw+Z1110Xm4V+05veFGLn6hYEQYhdORykEbyE2JXKpU499VR+77nnnuPX3HBFNlvRAabxcg2lmh78TC0rRECbAnwSOGRmAQnUUEISz+4eCelvkeP5+9//HgDw9re/3ShN0RddWvDrNeKg4IKE03WjDvB0/GOPPZZZPtS9FgBSDul4JUJA6ZlnnsmvaWPXyx/ijDYuKjEueKXYz8Y1JtG1qDzPYydMZ9rOmzcPgLqftvB/syxHJyYW3cvNmzezs0al7hRsDoxXMFwRx1k8K1yuxtIampNB5wEA73vf+wCYoLOtsURgLJX+kc7RGWecYXzukksuCf0+PQdvkqxsJhkO0sh0R67exkwspAGp+awc9PCcb9DAfMEaVwyIYrHIwvy6riqBGaXACzGoKTtNcivvete7AIRL9vTvNRbEffYQICfHfzkQ8gi6TiGgmNYPPvigNrbTzCgg0Ja0arn8N+3WvbeAAMderLXAh4sWZxyLuxSDjcDTI48VjLnBwSGWFgDEWjs8Ku63HUsTALJLA22r8FDzA4zIQCKpAQ3tLep3JwMvdKOyxjh5hAsuuMD4N53/rEx0s4upWpNWqnzjjTeGJHm65wsQN+eFxz4Fn89s3Bw+blMT1qxZw8/w6HkFFRTWzHVnh1bWaGuaxdl73vMejPniswtnhMGDtNZEjvY3SkKNyUZFLwfsjjK9moTMDh51sFSXR9i6W0kc2WDdyIRYy5NOwIAfjZMFCxbE6lRec801xnpG59LV1RWpa0ggqJtQ6ygFf5s2bTLYcCV4vF/oTeGa5FLT1kzgozr+unXrQufIjask08Z1Fbv9xZ3qnjREaKQmLA1B+q1M0mO5oKe2iSAxL0tuxXWajciiyie/853vyPNR59/X12es47WIoJebQzkBCnmxF1cDoEIASCYBz3VYczfwlE/45ETBONZ4UD9ZS6yjJXPMRKeuy51KuAza+vL69+7di4GxsvysSIgVJKAdB9rqPhGNg6ZsWjLuxbVs7RfJhckapzLTNvCkdFCgmLb7wHxKyPVnQadISs5qFWNoLEihXKnyeebraKruix02T/gmA0EW91fEWtLqTkj2pLnWi/tO41KtAeMlcd9zUzinQt5sbEigOYG3euJz1XyRcCUW3VVXXcVjGACuvvpqQzLsiiuuQD6fx5VXXhn7+/l8Hu94xzuM9/R+Buecc07d86e53Rahx09GlVn62kLxTT0/XGe0T8Xam1Xy6rNvPxUJz8V7jmgHECCNKhwECOBg2hzT15mQQGJH4/4B/gHlF9ganLrpzcd6e3vxwx/+kP9NhJhcBJmD/IgALnoHR/CBD3wAj1Zm4D+Kh6J5ruhxoUqxzfWLEtbEtKW9Kp3w8MtLXo2//n+vQVMmGcsojdJFBQSAp1dm0LjVqwcAYIySUO1qvNDz3dWrwKfeAcXkTSdd9m93DkofbhJyxcs1HbTVLSP3qCitYhugnpI8wj5o5JL5vm+MFTLa4xzH4UaNpcCL1TxViSFzjOzqF/d+XbUbj1ZnYlMQLS9C8SHJOZIRy5/8D/LrZ00TPtxYOfp+0JpAe15zSt3jKMmRqGQ12c6dOzWSxssDbQH1DFs6ptX93Fvf+tbIKhaD0DOFZF5Hi7metjWpf9uatnHN8A5Y2P4pQdtvfvObmDt3LjKZDF7xilfEalv9TzddQ4aClRlt0Xqg2ZSHNMQCMZUyd2IfkvNMTXbIisWi0SiJ7AMf+EDdkgAyE/QIUEYCXkOYAfyTn/yk7nFoUSeApbW11ZBq4AY9UtfNcx127sdKVWZBAFPrvAgofZsyO+Mekp6L6QkR9P/mgWfwl7/8hT+/Zs0a41wBIeLOG6Z0UjyLaRulyURGoEIyCAd6VMJN17Nw4ULeIOd1qPGR1jLt5XKZQbJUKoXly5fz55iZOgUt5BYZ9E5A/N6s5viggMtyLacrCAJsrzUxWzcqM3jWWYLB+Pjjj6NSUd1a6dpbGLQV94kAvqeffprvyzTpqC+cJTa50UrAAeq05jCQwjpdmgOhA/ydncJx0J+z3owDUPpPBEoRi8/e3KPY6zp7qp4RqzyqPIrecyYp56Pun0MyE1yPaauD+SknYKCqBhflcpmfQbMmVE+O5gSSrDlFRmVXfEwJgtuNJfT1p71LBIue4xtlr+VyOVT+pzfu0cc2OcHprHgWNGZobe1ozCitpjoO7E4peXBwo5mwIEboqKwzGwoyKCHJemkVJJjpaFccElCvM20B0SiO5BF0dlhHQZvnEYmdOIsC/HRrbGxkJjQA7JHJmVNWzov8/FStTTJtydn92c9+Zvy9f0zcy8ZUeMzSOrZ972Ds8QlcnDerO8RwJNvaq5qSRDWkibJCocBrxrL5s0J/1xmkNPeoNI8aFS2bW9/J3leLajBla6RzGZwujwAHO/sG1flaY5yC6KQLg2lLlSWHHXYYjjvuOAQB8Gy1nddvAPj85z/PrwmAnD17dqSuIQUMjqeCIFpnx8fHDdZNOfDwyCOPABDMeJqrXXL9bmoIa9pGJWXpfjQ1qHOmdXbzLrEvxjVrSVrJR7UXJVgu6K+bRKOrBq1ZXVqCtvXWElqDSBcYEE09bHkE2j+orJl1dR2fm7xVfG0dT5ps3+FiBa95zWtQCVxskjIirOM4CWhLrKOZ7abvqScXUwmXwQRi1vb19WHjNuHDktZ+h2Srk99p90n45S9/ya/t5nBUObRhpwBWMl590ERn2pIRgBWVDI+zuW3i3p+8SvgpXY0ZuPARwBHArZyHU9UVn8xmtmSRgGAo1+BiXmYc13/qrQAQBm09l5m2gdakhhiDUXJHtrVLBlXFMX0pbqYp329uyODQg4W0Uz2mtN786eqrr8batWtx9dVX83sjfgp/Kc9mn/Xaa69Ff39/ZLdzAMZ+FGVV3uOjZboA1fldZ/3VajWsWbMmki150UUXwXGcfWbaLu9uRhI1HJQbx9JuEe985I0n4rE1p+HpfzuL14ff/P4O43u0x8yftn8kNgAgrWn/R5njOCEdcr0xLN1XWz8fEDEmrR+btu2E67rY6TeK6qu0AMaUnqgFusp1keTjdAkCx3FY6iltMcjpOen+tw0WRTFt9e/4vs+yRXq1HVc69Srpg4rW8SnluWiXPkzvmFjLJvPTX65RHwC7AWomJcaKDyd0T6jRL+3BFU46xJ9rintkxMcLtP8QGPrlL3859rPJZBKf+NSVHCOWkcAtt9wS+VlKsNq+2m7ppxAreqgWvd5QE3A7sUNrGO2jaanXPEOuAxM1JyTTByjQlip62htV7OO5Dvv4dswRp1c/xoSLlw/w0zPs7A77oWQNDQ1wXTfUVBQwMZl60nlk09pMRq9O3slRghYus5kP2NTsnw60vfHGG3HppZeip6cHf/3rX7Fy5Uqcfvrpoc3jgJnADgUri2fHB4DzGqrw4GNh5+RdbOfKjBM5X7rOZlTpNgBcfvnlDFzFGYFWlAX04LOjsnOkhuerbXiy0sVspBdeeIG/U88ocFu6dKmRRWKtuqxikpCDNV6uGQ7LVEDb3/3ud+IYyRQ7+8SgeOXB4t7/9mHVJfLDH/4wb5Aku0Cbgd6wBFCbPG1QerKCAFzahMvMMonIcmfNjtnf+ta3GCA4VGtIR0FNSTJN6DdsRiMzU1vimQpkHRab4fDF8RsI6W8GUu+RGh1sqrbgD+XF+ENpESrVcGKgpaWFy31938fOnTv5WgmcJ42nEhIIAsW+3rp1KzsqpGnbKdkPY36CN2O9GytZgxbkEWsuqsGYDjiRk7SvpjfZIFPyCPWdwZymu2qbz/OuvpPQ0iiC5xHZqI+1XyNK4XQwP+UpjbMaXFQqVQ6EdKYtlZ6R06WbzlTW2Xs6e91eE9o6xZxKOGr803O2y6/o/WpVsaDaC43snLop8eyHh4cNJ35OV4ETXnQ/qNRd14Ablt1w3/IapUEJKJZ779A4UqkUs1S73DFQyf6OARHQ2k4TPXMq/SUbKVYY6M246pk2NahkQXYS8EK3KMDPNgq6g0AxbV99xOLYz0/FuqRkD/2u7eRu2ib2/9Z8uEqErm8kpqStWq3y2j69o9XQEtW1Dx97TiX7SnVAB7IjjzwSgJYwbQ3vq2kDtBWvaY+kcXXIwvg18qUYVQQYYJQVvOqNyEgewQ8c9A4pcNcOlGjepBOOBkA5GCmqY69evRpB6yzcX5mL+8pz1e9pCRZ6PXPmzEh5BGLdVrWgWJdNMpm2Cf5bb28vA4grFonfzkQkWaJ0DOl+5DQAgubc9r4RAGFAjM/XKtOtMfMwxXJBO0bFsZo13WPSE40DTfSxqesCr1+/3gigq3BZF5x0QGm8J12VxKsGbkifnhI9o6UqjjzySGyqtaICD01OEZ2uGAsTSNZlDHGVlzU39T0mnXC52okA8sHBQTy+XmiOUxUCaX4SuGInrvXyXltnmCqHNu0ZBgA0JOsHiw3c/VoFlrRXTKXpKtkPP/xa3PTBY/GGo4SP7LoOmh2xTvcFDXX1kF+Kua6DRelhpFDFx185HXf2nIs2ee9tWQe9ERkgxmhbWxs3VGrMTl49NV0CGVX5TCjRTBJpgSeea2tjgwLdkYgsDd5QbcWuWv3446lqF9bXOo3mXDfffDPuu+++UEPSqVilTsKZjPQZbbDFdV185jOfYb/72Wo7NlTb8P3vf19KXxDIPzWmbUdjGs9cfSZ+96/nGu+3NKTguQ7L/+waGDX+TqDt0vnRzdteipH/H9c4adasWcZ8s8vPaQ1qjKjAcxwFYG3bJeIxulcDo+Pw/UA1xLUqvihh3T88avyOLaPAGtkkbSN9Mb0knySN7r//fuMcAKAMl3tSUOPfdevWsU+6dJ5KBtBeQHJh4rwkWIwACc/F9LYCAGBIbof7gz1Zz5xA3N+8JZlBe1gNLoOMtEfSnKXrVhUZ8edK9z1KboGM8IG//OUveOCBB4wmwca55XK44oorsG1AyTCVLT9MN3putj/aOyjGBuETYxFxBKDWqkKhwAAuoJrIqkpck+xTDLxQo2hA+VFlR6wXM9tNopmSHDHX+t/+9rfGv6lXT8U3q25ejlHVTFtnfBLrgx/8IIBozWo9ETwVeQS7YltfXzMp9f3J5JUOmGn/dHfrK1/5Ci666CJceOGFWLp0Kb7zne8gl8tFUu3/pxs12XEch4OVBRElmmS/vfKNeOz/ezWmR7AIbVs4SwQJRSRDeiRRIOpll10WC+bqRkEFLRAefBQ8sRA+VJmJeyvz8HB1FvIdM7g050tf+lLksWhzzmQyvCkdc8wxvCADamNt1EAMKiMeK1fNbKujFto4djeVhL3/Qxez00FlEeeeIBiCu/xGBIE4F708nkB2KvWixYxk8oiZQoGsHmiTFm5Li2QEcIl/2AEmwIaO39fXx/pBK+ar7DFl2oldQqX6pJ1HjGkKADtbJtdCJsYC2VFL5sR+Vgeman6AbDaLAT+D+ypzAQAlJDEcZPDUU08Z33vFK15h/HvHjh0MUFCzCWrK4UMEqsQQGBgYCAVR9FlR0ufAgY+2CJkR+rxguISDOhLEjyv1ISN9LxoPTU1hdnxUZpZB20mysnkZiEWV8NN77iSgbZtk10xURNkol/ymwsdsbVZjMJNwDAZE0XdA0gQ6aNspy/wmK7097LDD+LXO0Ak1hZINdpJuwIAzPWe7/E93Iuh1Z0szMw6LZeEMVyoVbNq0CYOy1PPEVQdpZT+ikSFpEVOzIAAYkZ9f2GXOlwYJBGzavhurV6/Gbgl4HjqrkZlmu4YFozSk8yaf+fZ+kzE5Wqpi+x7BRtOJXLr2ZkPEM4uzvNGoMfz3DRs28Po6FGRQRgIJ1HDw9OgKj6najE6xTpbhGQ2XyPrHxVo4PSJxlJfXF8eOvfPOO1VSJ5Ni8K0CF7fffjt/7vntSm6jDG/S/ew1r3kNAAVadTaFAeWE6zDjyF4zSNN2ZuvkFQz7YvQMqzHPUD8XUx7BxdC42nNsZ1vXatU7aj9ryVKsesUrAcQHUmSJRCJS1zAl149SRQWjOuPS1LT1OFlWrVb5WSyXQLitrQaEm4oAKsGlnwez22WDu7jAlsEDeU9rsiliYy7NSVW6l3O0kluScfHd6DXwW9/6FgC155Pt3r3blEcIHMyYMQOACs6Vb+EYcjV2xQRdE7H1d/piHh/R7qNR9jUYDxKh5lNkfiAAOkAAUrrZjciy3PhM3KeRkRFs3i6SMdSAbNFsEXAWLZ8EiGiiQ1qqaVMqavug8E8nY7bqUlnkP+jVU1O1XCqBw2a3GIzMg9vEsXfUGpX0xhR6AkzVbl37Nqz/t7Nw8WsOM37XBm3TCTeUODrjjDNQrMqGTg1TAG0lGFXyo4Fs0knuaGlCS4OqcDriiCPQ09ODyy+/HO3t7RjxU/hzZT7uKs+PPI7rumhtbcWAbGxJPivZ1q1b8etf/zrkL911113Gv0nHku4L3f8oaSeypoza96IsCAIUgwTur8zFvZU5qAUOzjzzTJZ+yu0DHp/wXCYs2EaJXZupTEDi3K7C1H9oEsvJpEbcvnnSSScZBJj29nZDX5jWzLgGbzQWd/aJUna6pv7hMZRr5tpgfE/emyHZpEmtzeZ52pq2lNh6+umnmdRBZB6KO3XQthJ47L+RhvIDDzzA8gjdBbUvEwDbN6R8UF8jHgHAnOlC73/M94z3/172ibecjtktaVz+1tON93OcHFNMW10jGlB7Cu0T9YpvSdYmKuYhH2nZsmX8O1EsTj5n2Zj8qRcVCS/O1wTUvm9r2g6MClCY9p6xIBXaH+w9i9aJQqHAmva+lazVG+jFNTYDVHXJ4jkmQEqSIyWLfGDHczTueJ/eD0gdkdFKtfjYjpKvUZIvdC9cKdc4mdlJSH19TXnKPzwA2u6b/VPdrXK5jEcffdTQQ3VdF6tXrzbKzQ+YsK27+7Cx2oolS5YwQ7CjMd4J81xnyo5jR6MqUyNwqa0tXJpDk1svW6tnVO6gg0czm8SCSc0vAODeh/6KVatWARALjA3cAeCA+7DDDmNHLZfLGawe2lgLWmmUEpWvmg2KHPX6jjvM8iRAZctSqRR3cAeAnFysVswQpU9lJDDsNeK0007jz+gbCG10xMghhp8tj6AbbTLUCIjOuzMCtCXmIy2WQaAAgtkaQNCZE3/vDWQTBgkS02b1hje8AYBiKhTqdN8lowZgZAs649m5ekf7qh8g3dCMO8sLDcZzv58LjS1iuBFj7W9/+xs7dlQCl9W6ypeCBJfDVCoVdgCoNLBNsixIhD3nVCLLYBuMIE+dIzVreOihh7B7925+/6ijjoq8bupqSyyiV77ylaHP6IkHmmPUkCExSVaWuoVHdo+FOdbirFMyHyeqAUpVHwS8RgU+HS3qmWeSHmvoAQrQSqBmOOfzpwmQjkBbnV07lQSdrUtJXViTLtAuQWQGbalDLpXFa6w7+kxzPssM4bEJJWvwxN+e4uBxYVcjs5YCOBgZm8AJJ5wAQJUN9g6PM0tsTpsJxjVLvcbtewdx5JFHMmh77omHcoNAaoQXB9pu6R023h8pVrG7XzLLNM9bl8BpjmDjx1meteicyPFz/fXX82ti2ba7Y3Wb2k3FWqkBWuBx0qgWOOz8jtfE8efPCFdyNGud46PskUce0RiGCaQcciY9AxTaNawAy1KQQLFYjG1CQ+O1WKnx70btvY7jgDpe0xpVLpdRDRzWGZ/xd9K0DeBEOsxBAIPlpMsjjJY0RqzF1GfwI+XBcZR+5vqNLxqf+9t6UdVQQmLS0rgoXcO0XGdLWpXF2NgY70+63rKdkGEpE6nDaWurTXoeekM0+dx6R6WWbwzT1g5qaf9qaWxAS94cE8euUg0n+Tl54YZrgGIkX3zxxcYxisWi1YjM5bJUfk/eI5FEI3DD4XOjdZyAzn6pXV6SY/KME47kxCXJI3z6058OXbsYwyIx0WolOj0tuZhOuMhlxDpKe9D4+Dj2SECcmp9TIxgCePTEte4HBIFau+k+EuO+d0KyqyYBJFMJF45V3eTLztstDeEEzL7Ym04SzOettQK/F9XE7uVYlI+S1nwDYgC6rlqDqoGLBQsWcJKzUEcygKyRgYzoOURLRldbgSucyvDw4haxJ2YyGXzoQx/C6978TgBCOqsSuOjp6TH+W7NmDT7wgQ9gUDYxG41J+gwPm3vg3XffbYBS1OeCmunSOKknC0fVcvXKmul8Arj40KWfxOGHH84gYNN+kr4g+Z9SkMDjjz/O18qyLxEVYC/5t2QsGAdUz5s3LwTu6CXjNGcKjdHMaQKw9g6NoVrzeZ8cHJ2QPqX8XIhBK+7B8JgA5mjfySTtz6l1DVBsz61bt7JPTQQjuo4iTB+e9JkB8ax37+3jWHp6s7rXVL4+INm/vu/zeVGc0SGb2VEc8fdm2p588DTcc/lqnLDEBA6ZtKHNV7vij8B46u9QryFhhva3wA2BeQSU0/5jN/i0japc7nhgHb8XwEEFbiT7k8xm2o4UhZ/M/mGQDFVlUGUrAcoUU+n9b0inl/YmtX4pKbwXawX4Vrg0XhO/O6fTTKiSFBmtI9QwMQok7ejoUInwKWjITmY03kYm4p+BrWWrYzo0XiYj9JDZDcb1ig69R089+acDFrZ/qrvV29uLWq1mlIIBYmHQ9VvJSqUShoeHjf/+p9hwsYJfTCzHPZX5WHDEiZru4stzNsla2GFPYNOmTax5uq3WhM2aI0oZO11Htp5RUMLgkeNjxVz1vFV2xsNPf/pTnHuuKCOKAoVpozj55JNjf6/GAJ1yAIld0jda5g0WUIwBILopCGVtP/rRj2LjFrEJJjWdu4Tnol2WFE5barJBqYyegOiBgQFVtiWdEWL2uMn4Z0igIG0K09sLoc+0ST1LWiyLSMhgLUB3QTkil71FgMrbas1GEPjf//3fxvFs7bh6Rg3AAOHM1AMkElrQUan5eKBPMGtzThnLm0Ww1heEWWgEpFD53c6dO9nxbJfyDI7jMHuxiITB0qxabJqWBhPUsoX91e+qxi26E3HeeecBEGDsj370IwDA6aefjtNPFxnwfj+LxyrT8bvSQXiy0oVKpYK1a9dySdAtt9yCtWvXGv/pRswwcpJdv35nU9JlrAYuGhrMoIwcXHcSh7JTArFl38FEWYEVUaCtXmLZkEoYndcJlKXyV7JlC2bJv4vxojeP0HXTyChpQw0R7fk5PCaC/5TnoEsyg2h+kWOXd8U5VGVHY0Bja6US7JxOlNW5Prl5J3y4SKCG7uasEfht2bGLz4fWtZtuF4zbLMoGkwsA2iSot3d4DMMTZWbkHj63jXVZ+8bFc0lb95nKp0KatsUqAy5Nmmaw3tG5bQpa1GQ57Xfrad0BYNB5aefLBx0JLCaA/bLLLsPd5Xn4RfEQDPtpBjjnRGj6tcmS3LgyT13zOpvykJLgTiVwjQTfYEXbC+Sx4hrk0Dq+RzKjPfixgTslSGjPu+uuu5iFmkBtn0D1qZgYo6STHMW215h5CRO0HddwySpcg+Fq64YTk2rLTlO6avN2lbgqRgDpm6oteKHaYpyLrmtIzn9ZY9pWKhWuftHHZUl7HQTQktdiD52KBrU4DwVik1GipH+CNKOj10ySHyCAmoKf1uY8J5DIFnar8dskpXx0pu2jjz4KAAZJwU4c+L5vatrCDTF59PFOa0kFnvKH5DqWkbdv+16xFxV9SgY3sEZtSZaCUhCsGzGOMqiG2IN6RUjKc5Gj65VvF4tFjMullhqQMVCM8JzQS7VrcNl3I7+kUTLuKblJIEo9I3YS7edBQqwlpLH9Uo2AlHGoeZ54mYmtqZgu6+BqTD9ucivvGW3prU3RgJtujREsVB1MJzC3KZdGgfcgBzfd8nvjOH/569/49XiQjNznf3TDf/Gzn4ypr9vPfvYzjv9onJDcFjfMqgPa6teos/7uu+8+fq2fz4CsSCDQtr1x/yTeOO5CArfddhs2bNiAauBwIrirDilnX61VJpTi9k3bdu/ebUnP1WfaEoA1MDKBoQnlr41MVFDRmbbWvCAAkcAnJY8QzbSlJp8EzvX392PlypX8OR0wMxqRBR52797NFTM/+tGPMO4nAIgkh56EonwLyYU988wzWo8JMWCac+aatT90Sl+KUVVpDQ5fu60NTuBpdQqxHWmR+3A4EULxFBFWqOo3yrq7u3H44YcDAG666SYAwObeEeMz5SBe11Y/T7KxUg0T5RoTn8aDFO673yT20TlR/xMyvecO7aMNMoYhX6wGF8VKDeuq03FneSEeqpgSVrTvteXNNYqY8gT61gOi3/Wud2lNS/cDaCvX+K2WP6bbnXfeaciHzJ07l19PldBDZichbfmZhJUQPWBTs/+n79Y111yD5uZm/s/uEPj/sjVlkljQIDaQy35yL5fL2bpiL9XIeS4jgZ27duOaa65BNXBwZ3kh7iovQNdMUfYep0UzmelZnXecshLzCgm8Y1Uzmh2RXSXA5Ze//CUDOjrLS7e4bqGAtuHr1H0JgGztszaOmPIvQGhqASJ7n8vl8NwmAVLb7Ju5klh65zqzHIU0mUmjU+jSUWAlzp+6jTYVWvl7OvMGUCxNAjdmdoZBDAIuiVVT9IRjnnMqhuOzalYLciijAg87fMWWXLduHdauXctAc3UKTAUyvWSiySnWbXalg7Y1P0A1Kc7z+BkpnHWk0NXt83N4zWteg7EgiV8Vl+EpTeds9myhzxsEAd/L1iYVqBFQWAoSxn1kpq287+mEhyTU35uT8ZuWXlodZXqjsT/96U94stKF/y4tw7rqDOz2G/HXajcHlftqrJ82Safi5rwIOKMY2/4Us6l5ycIo+w7GJXjiwo8MPPVxkc+mpOwFldaKdSRlzZPZsiEegbpx5beUpKAusDp7XbdR2TAt6bmsq8xBZkrcj6akciIWLFjIrwEgl/bYOdVB261SoIzGctJT7Kwdu1U5PdmDT4l53+yGs93TJXt5aLyCux4RIHQGFRRyKTQkxP0alLFwNmUGAKRwMGgddnCsxM3iWrTgSXeoplns93oWl5jQjUDbvbIJ2VtOfUXk5/bFqAKkEngoFovI5/PY6+dRgYfNtRYtOA4HrXRfSzEgM6ASNbmUh4xHWqJWIOArB7ziiPO588478eEPfzh0PAIQdw2L/SrrVGJLyjwGTMTvrVu3jjXG8055SqVo+2I6CzbqGerrQirhIqE1Gin6Zim1LvWidMPFfaLf2Dto7qMU2ALhMt9dtTzurizA3ZX5GJqoROoaUiMVvYQWEBUVQWBqzxPgsHHjRqFfLvd7CqYyEfIIUeZH+AkEOg4VxXmkYiocFNNW/EaFQMOWJnS3m0wcPYlJlSs6c5hkkEi/m6pK4s4XEM+lv7+fNR0BLRjPpBjc0MEZ2vtIOoXY+vS8WnMp7o9ADWOIwagbsXAzEYlOIg95stxSMcCU/FPRAr30BqIEnvm+H2Iq6XOXEk02O3a6JdUUZcROovs1XhH/jkqG74u159PsywLxLO39bbqsgx582/0SaIzGAW7mMcMsVB3Ap/HbkPZEEkhe67Y9Zmzw9AsKpB0LUpEVNY88pxiBJSRx2eVhdrduuu9/7bXXwvd9ZhXaye5MHXkEAm19S/pq48aNDAbrzN/+MQnaSnBmekwD6H21aVL+pxQkMDExgS1btjAhx4OPpuz+YfQCSlotrkLFtgcffNBo4khztyMmwUGauUMTZQa5AWC8XEVZMm2jSrEpHhorllHzg0gJHSDc5JMICuVy2Uh0UdVkNXAY5APEGlKtVnmNLZfLDMw3WPsygWrjMtvxxBNPKHkEuYbYydf9gMO9JGuS/r8Pl9fNkZERljlMp9OsOcu9GbLxuIHSyFX3mIA/Tl7H9ByaPXs2LrroIrz61a8GoAgZQ1XzXpXhhWQYqQ8JEPZjJqoBS2YBgq07VqtfFRVlNNfzUpc5n04wcWxwvII+6eOur3ViQFYAZLM5TkbbeEvCNxnAfX19IRIOAKxduxZf+MIXlDzCPmiox1lCxoW79sZjMps3bzYkwahCIZFIKELPFGU9bKDfJvR4zgHQ9qXYP9Xdam9vh+d5RokxIAL3qE5+n/70pzE0NMT/RWVu/1+2L79L0Pw3F8VikkK1rmOyL0YZ3wAOZ0nHghQzHPYOjrLIOemk6LqOUWaU/mlZnVltefzpU6dj7ZuPZ+ZDFaoUg9hQGzZsiNTTJeCYsoC6ETisb/AUtL+4e9D4bMVi4xBACqgulB/5yEcAAFuluH7SAtDOO/UYAMDuqnKG9dIUciY2b95s6CwCquy9q1s1G/j1r39tXDM5ouRAN0eU8dFiSscfrIrPNlldRl3XwUop27NFsqcLhQKzEInJrJzyyZ27Rk1+oz1dP1DxDKZtwGBZU0Maxx4sEjD9vpC7eL7ajsEgi03V1kipFLpWvRsysRd1Hata4LATqF9PRmOCdtZhqye1Jkb1bO3atbj33nux0xdO+LTEGDKooAYPu31TMsIuE+zp6Yk8JgXILbn6zDwF2johMHSq2dQGTduUmLZxDdB00LaQz8JxHA4SCZS1u3FTmd9kmrY///nPAajM/ooVK3jd0W2sKIDLTMJlwJmekSNB25aMeO4BHBx59DHGZxpSCWbj62XZ/VUxFrqy6n7RfdjVazqZvu+jvyyONy0fPsd5srR/tBLgvr8JFkCTBHeb0sQIlJl/qyMzBSx6ZQAAbNvThzH5fHR9az3rPXt6vDZXlKXqJCZOP/10+L5vSK4smT651vVkRsmeMjxmhVBAvNUvKDCpITxeZsmmmeUgEWIcEkNbJWo8rVGeOObw8DCKlZrB7iPQ9r777mNd8scq0/HL4nJmWezevRtPbxJrpN3BWTcqEydQb2JigoPDfJ3vvRxjBmEEkG03nFCAqWOsldXANfYucr6bZICj9FBNwE4voz7hVNWMqBY4+EtFJHsDONjar9YmfX+mhlUVS5tt7969oTFZlo0m//znP/NzSaPC7GFTgzp0K3g/5oZoGnhM7PaxKkkNhL+vny/d14o2h6dJ1j/kVXc1q72FkqtF7ToHBwcNgJJYYLbpIHQVHsbGxgytd9oPG7Mp1YyNx0LAc4CaNvYNj4nGSnJOFHJJzO8W8youGAbU+h1VnUKgBQWBdJ9qGhhbtkAvYrfVoJqmrVu3Dr/4xS+MY9O6ndAqnToKJrN2RkcrJjM7uSFJ1Zg9bd/WzCg7qEVLjkySaN1fpldb6Jqa9hpE+0w2NRWfTvkC5BsSgN/a2qoqsSgJLn0pYm2TUfIDUKzVv/1NsW9932f9eLK/rt8cKctBZpMarrrqKgZZy+Uy/ECrtqtzreLcpW+trZnFYpHjGp1p2y8lUwicmdvdEXvsfbG5spKE9rtdu3Zx4rteYvClGOvIx/iyY2OiapD8rU2bNhksvfE6Wu4AkJdr71glQP+YWh8mKgGDtlF+KDXSHS9V+HMADNktwGTe1uDGNqymeMHNmH637sNTwov0bBus9YyqS0hWZNu2bZo8gmTaWqBtytt/z2pfjPzYGhyOFyuVCleKdnd3Kx142idy8TFPg9bYjPSkyc9iqb9aeH1bsGABLrzwQgBhYpWtVx01Bu+++25+TWsMMVlLvoOBMdN3GgtSXAFAcnhx8lZktGfT3qQ30BuaqLBUSwAHD1VmIQiAE099NceQtiRQISv3kUniGjLCJ8ZHhqf0+XrGck5WEl23iYkJQ0qJMI58Ps/X5E2RIW6vpzZoa8vR2aD8AYu2fyrQNpVK4fDDD2fRcEBs5H/84x9xzDHHhD6fTqfR1NRk/Pc/yZbNKGB+RjWmycaUdb8US3ouL17kQIxAOVQDw6N461vfCkCx5GxNGdvuuecefu3HZHUoUKoEHm84QRBwtuzLX/4yAKVpWSgUuMMkMS91iyqtyUgB/u0DZlOfKlw0NysA4j//8z8BAL/5zW/EMSTLFgB6h8TCaDcnOXqRSC4MBlmMSxDypz/9KQDFsgVEZpKCkrzMclKz48aCYoisX7+eS0p0sIqC8SiNYi4JlccfrsmS0VzYifjA644FIEBbPwCOOOIIfPKTn8SnP/1p/j1bB6+e6SXCB02rD+boeo9V3+fmGIV8Dou68nDgo4QE7v3r09haE8eqwcUf/vAHDhrI2eJyUK0snNiLRSu7zn/Xu11qQdW8afEMHQq+dDBEDzxsI0bdF99+MpYVxHfpWgChG2ab3emdHA/K7s6bJEDQ2WVBEHCZoHhvatlU7kAfiDIhIB601QFC0lNOMNNWBvUJ0xEg0LaCRChZAoC1YoeGhvDtb3/b+NtBBx1k/DuZTGJMAkeZVEJrpmUyzLq04KKxIIIjvZt6gwx49UBhSAaRS2cqRrtyjoSjRWvGs88+i2H5vJfMDAf909ukTnDNxYbd4rtdMrfTZjFIGyzmg80yITbA7r5BjFfE6+kaq093qDoL8brSUUaJqKjEBK31FbjMWtkf1R0EDFThYW9vH4qVGgdFe/wGBndaI5JUXcxO8vDEE08Yf7v99tslO1OBeDQ+3LS4+XfccQd2DpkB34Rv3u9S4OFv1ekYCTLYJZMu//t//2+se3YzAKDBkv/QjZm2GsOeAO+8u//2bN3oGUbJAqgqF8Fy0vWIdWZsFa7BoKF72CznODGpSta90sdNkGpgoOfpahcGA5XMjANtidlTtYTkgiAIgdCkh7d161YOlLLas9D3rCiNZtrjaKzpwACx28cl+GQ33iCjoFaBtmpNadLkgrIwK11IN1yTEUYQBLjuuusAoC5Ao2sF1+CgWq0aPjI/q4ZsWB9bY7e1SN3XobESxstqzrU2pFijeSJIhEgT5GtRIjHnhfeGpGsmCInFrM8DGm9zu0VCK5dSWvT0twceeMBg+ba1tfHarjNYZ1ogbVRCO3SOFhuoSNr4+TCjf1/t3BNXhX7n722tWpm+Hnzb+oLckG4KPl1eY6EuX7nK+NurX/1qrmIgn4ErnCwGpw5klDxxnuTbAsBtt92GQd9k/t754DqkUilcdtllk54nGRMbymUjuVHvWl3XUclKa9+jsaeDti/sEKAQJblmvExmNhkldune9fb2YhzxiZGXYzMkE70ckdgDgP/6r/8CIEA+QPhiBNbVAof1rztjJBtIKq3kO+gbVftrsRZwFUWUH0rrabFSMxLotoyC3sjYhxPZvFe3lUcda/xbv+53v/vdAFRlWEvGXHsJ1KRqzPHx8ZAv/Y8C2nJjTKuij/T7ly9fzu+xLnE+Xg6mQauQoH4nBIoCQpZoVy2PP5fn4hfFFdhaa8aiRYvwtre9zTgOAbfbt29n/4cwBnoWuswCNdUU5yn+XpBTsOy7BnsbEIA79Z2hdeXoo48GEN3YGQADlSltXyayz4t9Y5zId+Fjh9+MbX4zNsqGtVEkueOkZr2+VpxzzjnGZ0488UT09PTgkksuYZ+htfDysSvaY4bHo5MXtmWzWaMpK+3LU9a0tSpvQ/II3DtC3GO9f8QBi7d/KtAWAC699FJ8//vfx49//GM888wz+MAHPoCxsTHO2Bww0774jlfx62ydwPGlGLEPi0ECK1euxLIjVcOkGtyQxlmU2LZupNfmOI7KUlpZHWqkQBOdnDUCsmq1GtavX88A8AknnMBlFK94xStC50CLoh4U0mKzZ4RqjeVvBh4OOeQQ/hxtGiQmTixbQAQ54nwtof7mDHIQWrlP7RDADImzH3bYYfy5kZERbcMUjio5IcNjatGt1WpcwqCLhpfrNECgDpgTQVIy4oTDsWBaIfTZYxZ2IIUqikhij5/HK17xCjz88MO45pprUKvVDKbCvjJtj1+5eNLPs4ZxLUCpKl63NuWRTnhoccR9+OuuEjepo3O58cYbsXPnThaV10EZMnKiyLHevn07O+SeVerfoAWdKxbEy6yQrqGeGdYDDwB473vfi46ODoONOKMli3ecdgQAYJuvQNszzjjD+O6vf/1rXHPNNcZ7K1asAKCC2BWL58aeH6AHx+L6XvUqtUYoLem6h2DWTAUel4TFNVbQg6E2CRBS4E2BWqOlf5RPJzgTG8W21ZuzEXBEpVm2REJzczOztHPphGIJy2dElQLTWpv4vMbKVfhaqXUu5XHypFxTSaIhmWl/5SoFFNN9GBoVoBM9n3vvvRfDEuQ9ZvnC0DVRk4Ni4GFAloeRnvcMq7zSLlezHaJCSjbdGR5DsSYept4EUH8m+6qZWo+l+ec//xmAeq5J1ELn9lIsr61jO3sHDA08MNgWRF6L3ohML+cHRKApgitxjFwqwexCN6VYYzsGJ4zvFX2Xx8BTTz2FzbUWrfxdJrOqVWyTjeGaM/ETSm8wSWAZrUkzO14+SznKyIHXA9NUKgXXVeW/dF46aKtLD9QCh5kYvu/zetLWLOa4kpkwn7+eGHtuyw58/OMfx6ifxLqq0Pmkef/cTsW80ANyagpig7aAuvcpVHkul4MEfN/XQFs1dvSgql6ZnmqIpj5DYCcly5pjGluRVivdH5VA9Ayg12ZVk5RPqWax5yUT5u1vf/uk5wsoAE5nFdF7hcaGSNCWjNj5o6UqB8EefORSHusCTwRJTtCTvfGNb5R/k/cmHR7/5HNRmSSNM/3cialIoJfjOCHQTwcIAGDGjBk8DnQw1GY7TqXpLulOVgKRsKd9faoNe+vZSQd382vbT/x7mb4H6ME3gds0Nrksdwqgrd6A9TAL+Fq0aFGo50HONUF3Mv3fIzV1f4ns8dBDD2FAJnXIL9ywQ1TR5fN5nHvuuRgPkvh1cSmeqXaEwJAoU2tRMKluJCW6bBCTGhjp8jmbd4pKO8VMn7r+bj1rlQlQule1Wo39I5J32l9GoGoc05b2Uj0mov2A5r0DH4UY/4Kai5YDDy/uUpqqZd+py7SlUvVixeeGZU6ENJde0VUL3FDfm+nTzQZd0+YsMP5N+1a1WuXE+xj76yaISdUl+h5C/gCBUxmt+bH49/8d+CXJckfm71MFk/48KeHSammv69Yor92Hy8k70sR95JFHcFd5Pm4tL8GGWjtGgzS21ArYtGlTiAVPRIzr/+s33GOlPSFiPIpnCXS1jRKhbQ3UPM/F3iGzinA8SHHSnsbCKaecAsCUN9SNgO2UJk9AxJy/bhHX2OCUsHqW+P2HKzNx/6PiNzIReMuyeWLN16VUbDIbSUp87WtfY9CY+pC8HKO9bELrBVDP6HkAIgkRR6SLs4TnGuPd9jM4ISqf3VT7Hv1Pt3860Pa8887Dl7/8ZXzmM5/BqlWrsG7dOvz+978PNSc7YMKOmNeOGZ5wKvYn0xYAGiULaDhI4/Wvfz3WbVC0+hpcjI6OYsaMGcZ3bGkL3Yil1dnZyYulLeVCGx0FjzfccAPe//73G5+58cYbmWq/atUqdqoWLFgQ6qJMgZS+oFDQ3j8hFjcCuytwcfzxxxvfp6ZcmUyGWbaAyB4DqpGHbu2euM4bb38ADz/8MH/fOK9ajRezFtkMgjKzI+MmgEBANIFXQaAcy6YIh2lxVyM81FBCAoNBhktRjjg4zOpMei4OahTB2ou1Flx99dX43e9+p85zikwFskxSaX4undU2yadVYFH1A5Tl+t8mm2DNkn7EExU192twcOihhwIAvve977GQelVjN5F1yAZFBJA89dRT7HTZGnNN2oOcXQdISQQ0VkwwpKNDBYx9fX3Yu3cvyvB4HHc3Z/GqZTPgwsdIkMGQL54JSbrs2LEDa9euxeOPPx76TRrrxGqa0VYf6ElbXXUp2yzem1oJDEtswMOYBETj5RFUMNYhM8YUqFMjlqhu3A0SxBgPUnjDG8/FH0qLcHdZjNEonWoq19PZ8IAI4omRkUunNKatuPfU7GZmZytfw4TGKqPrJcepUgvQ2NiIIFBM24O61W/SMUakluxxxx0HQDzDEflcF3SFM+cF7sKdwLAEg487RGg3E9OMrMliPlDJIFlnTlzb4FhJNYLRS2NdB54c41FrRD3j4LWOBEgUQPZyLJ1QAc+egWEMjoePm45odgSoBiClwAs13ABMIDKb9DhJNlFRpYMbdwpwgBzxcpDA2WefDUAwjp6vKea0fl8GS+KcZ7XHMyVUabLDoC2t33Om75+yWttSETIuYkwHIec8GZPBqcLlPXtgYIABEGpeRHqo+m/4vm+sjS/uHoDruthca0UVHjqcURycF4Ha3zbt4PPQWaXE7Kn6CEmhMMPSqTFLh7SMmdXvqmDKc7VqjijWca2GQEtM6n6CCrrFuRViQNs8B7WO8TvZlGckVW1WtZJxiXbT9SYhtvna2hUFRtOYby80hoA5Pfk2TbLzxysBBmQJcxpVOI6D9jwxiF34nnnt3/jGNwCoMtfOfHiNoXvpWskBnQFGoJcu+ZOBOA8b9CPbvXs3jzF9H7fZsXGNAY1zZJKAh/b2dp7bjfsBtO1syqBJJp7T/4eaEnVrbGMjoPZMWS1iVU3Fp/M0nfOilWAoV30ei+QH5FMqMUVki2q1asjPjNY8HHusAICJgBEE4HLkWTnxe8M19Qz/+Mc/YlutCQNBDhtrbZws1/1y2wiUSiCsnWpbPR1wwGTP7R4Yhe/77FtOJlk1VaNya12mhvba/dmEDFBjPI5pS0YgE6DK4EnnOutUY/tWkORJGQlmJgNivSMw1osgAjTLRlrlWoBSJR7cFe+TXrxjNEkDwg2qqZye9Ldp3SVSTiKRYHmEJbPNygLyGQzQlmNYdW60JwH15Tj+npay/H8yiiN135orMnLxY6tJk1ubOVNI942MjKBcLuO3v/0tk1CavTJ/rlar4eqrr8YDDzzAx6HY+sVe4cc3OGXk5anQGCQw2DZa76dRhV7gYeN2U0c3qnEhJTIJxD3ssMOMJCA3QtUSAlmZdPrLc4Kd2+KV8e/vPg0J1DAUZLGxLMZ1FEluZmtOnouKd+xrKhQKKBaLIhFOvsUUGkJOZhT6lqaG2RpySuVyeZ8bkQFqzfRQC62vVKnkJMS90JnTByze/ulAWwC4+OKL8eKLL6JUKuHBBx80BtcBC9v3PnA6Dp3ZhDVvPWW/HndOq5hsQzL7vXVAZbYoMLEbkZGkQD3r7OxUbB/LmSXQjTbU7du3o6urC2eeeWbksWzNGpuCr+QR1OfIKRguSxFyrat8ImE6XyTD8NGPftR4n5zfXEQ2dWmXWLj/urmPAdAo1gxtmKRtR+c4OhFuYmR/j7QtGyMCk1TCxfSEAH53+k0cWC3ujgZRLzrjKACKAZpMJhko150UO5MWZY7j4A0rp+OQaRkcPH3ykg8GbWs+KhIIb5alSMcvnwtAMYUBMe7OOusszJkjtBG/8pWvGOepByEzOwoAVGC4efNmpYVnOYsdmkPc1RzvwDR6YqwMaGV8F1xwgeEIUFkZZVszqHBZ9vSEmEN0r2+++WZ89atfxfe//30A4v7ZDAFKSihdz/qsjnrNd1TzhPobs84QI2c3lmmrAeWk/eVZ8gidhbBT0iDn3XiQhFOYie1+MzbV2lAMvEjxfkBoBRNznWzRokXs3OezaT73Glz4gdLY7G4vsFj/eLnGjqCDAOmEy1rAFV+sUUUkUIZoTDC3TeklEmhL8ieUkCkHHgemc9vDncsZXISHITmmF0pwd1anKclRaDS/n7c0bme2iN8cKVb5OvLWWvCKWXlMyzmYF3Eu9YzlESLGDzEVJrB/QVtAOYB9Q2PMtHU0BzKK2QCYTNtKRX2GgriaI+6LBx+e66BNMhwnKmo8P/asYAFMyyi2FXUZHqylsNdX4zffqoBWGt+HL10Ue126niQFTrR/kK7g/jbKQenPsLW11WjaSHPUcRxOtOlWlfIqgGg8QglQKl+l5Kf+Gxs3bjRAjz2SDUNr4aEz85jZKu7li72jxnmQcffrIMyMSWTEd5PwmRFDLB0ak80pM3hIcGAfsR76vtxLwzJKdtDdHsNGamxQQS1gMW21OdlqsbGp4idqnlFVQZzpusRR10XvtTQ2cDd2Mj351i0ZrkXf4cYuNM/SCY9BiL2jRQz4GfyiuAIbq62oVMT87A/Etb/9rLDvSfsQASvU8M43mLZKQ5eMpBbiQNu+vj72D/XmcDbjbyrAKzWAqcDFyMiolgzfP4DLNFfs3V7w95FBsa1Dk8LR9/gMXydJXon7N1U2IEkHjJbMNXhca9pJ47kg14USErj11lsBCGBsQnueY0GKq6QA4Nvf/jaKSMiS+wDHzCuI39OAmIGBAQZm9ARMXBNT/TrjEs66pSOqE8j8QK0vANA/XkZffz8njJr3E2jLjfigGvHRHjNv+v7dKyipUS85C0Qn0OlZ5hA/rmd2tfHxd8pGh4B4JqoRWdgPJd+nXAs4Ge/FPD+9imVwcJB9sYGBASxapPbkRCKBLZLt2+wp4kUQKHmzarXK8gjLF6i+IoBiourjjpm22hTStavtRPv/KaM4zUf9JAWg5kdbhH9ORlJdNbgsj1AqlUQ1ZuBwgvDsQ6bz5wjcve222/Bv//Zv8H2fY3WKRxudMhqlo2KPQV1LH1D3fWabajK8dTdhD2asQc9TJ0qRH7N69Wps2rSJ3/cjQNsGqVP49C4BLs8upNGYSWJVixg3z9WE/9cY0bCaGo2WNNm3IEJM/3/9r/9l/H4+N3lDyMlMVRi+NNhvqoQe3ShWiFpfKSx00zJWkXHsAatv/5Sg7QHbN1s2swW/uvgEvGpZ9+Qf3gc7ZqlgvQ36GRSLRQyUw/pw1IWSzAZxyXTZgomJCc7O2zigYvipPwwPD+Pwww/HsmXLJj3nENOWNWvU8Shop2to1MqOitVwmiqTyYSYsuT8RgUGbz5NaMvt9RUDwAbi9HMjEJn09MYmynUF1MsMNvmxTIkTDxaZ4h21JnZ0Z7VGbwwrZouNeCJIYs2aNbjiiiuY2U6bpac1/JjMvvKWI/Cbj51ibIRxRp+o1ALebCjYO2nlgtDnyTl75zvfiUKhAABGR3EdQCT2IgWGfX19kQwdAJghAV5A6a1G2UVnnwQA3GAMQGRjNECBzXlXlcW+eqWQXtim6dpSydkZZ5yBz3zmMyG24Pj4OIJAlelSZ/Q4Y6atBGir1SqXek9VHkEwpqVu6qAIipIx3dN1djO9ZqatdKRmdYUTBgXZGGw8SOL+9Vv5fZIkiLPPf/7zxr8XLVrEDSIacxlDxqMCj0twC7m0BrjWeLwlZJaYwKJq4GD27Nmsr5d3SkaZNd2HYtW8H6Rnm0UlUv+ywExYBxWIxidz2sQaYQPxeUseodFiQpDUyXjF10p6zd+8/oMn4/5/PWOfm1OmuGQ4/D0CzCciWI0v18gBHBwrYVACSG3uODPvJgNtAzjGvnHLLbcAADqmi2oQevakJVqsBbzOvrBnEABwUJcMzuBxwLhBY9kCQsOVND0nOKCOryogJo7OMKQ1vLPl76PDn02GWbAUcNWsrtdANLuipjn/O3fuDCXGiHmq/8a6desMpu1gUYI9cm4csmAGDpIspr0T4jftcjxupBI4yOfNYLJdPsukU2PtuSApmdPyWcy0WM+s5xnjDuuMJENb12a3x1Q4KE1bs/Q8l0oY/sGSWSabnkDhauCG/Atdisk2nRlM37etygB7AgnPNZIfevKNgPey72LPoAhSs67aGykps2twAs/L8tdnqp04++yzUQo8fq5RCdpMipIl4rdTljyCr1UM6eXljcTURNi3mjZtGqrVKu/3aW1PsqVTpgK80jypBh4GRkYRULnqfmDaAsBn334qZuaBS974ysk/vB9M3wP0Od0gr5OZthFyUvWM1uaRoliDCYcgEFeXm+poFntaKfDw9NNPAxCNfIuaDBL5pCRxsGfPHk6ENzolHC1jD/ocxQ/07wo8vPWtb8UnPvEJbhQZZQzaTkFTmNjI6YZC6G/jQcpoAjpS8rFxyw4wCz9b3yebqlHyIoCDhUtX8G8DwPI6sl0vxagCh8DLemYDt6qqIR60pQRCOfDQP6p84ErgsaZt1L7TIuOzig+NkRt9gq6jmLYjIyO8x1ED0rEgiV4/h6OOOgovyubRbbzUCn9Bl1UgQHGmJY/QLivIqrLCVPy4uCd6tWhaA21tH+7/lKVIp30K4F3VSsRGH09VSHDjTsm4JkKMgwDdbVLCLnDw7ne/G+95z3sAiEqmq666Co888giy2Szf47aMqsArBx7vgc8//7zR1whQ8facLkFuqMHFTrlfdWbFA6C1gapjSRpBN9d1jYb1CrRVD7E5S+CneO+oJYIg9K9vOZl/GwBaIxI1jZkkJzqjmL+AiMcINyGf0O5h8VKMdImj/AHbHMdhuUoyReiZ+m+SbxW1vlKy2E3GN6s7YGE7ANoesJdsRx4knITBIIunnnoKI9oiVIXLZer2hh6lbauXSfT397PjbssjNMnFqxJ4OOoowQClRl7nnnsuN54io4WAqPl2iQxr1WnBWIcVKDenXVC2bqwUpvnbLFtxflRWEl5sD50tAviRIINi4KGzszP0GUAtrpkUAY6ya2q5gpaWlsjvAMrxTkWUJJCde4LQLdrmNyGAKBGNK69q1pw3W0aQs8lT1LnZV3OIheYHIVBABIKB/P0anw/pFn30ox9FIpGIlXDoluVZBNqWy2WtvNa8nkWzBJCQRC224QwAnLS0G0CAoSDLjuszzzwDIMz6pk27oGVk33KicMR3+Y1GRnTNmjU83u1GZHTeBAq0TdJgRckjiP9v2LCBAW56bzKCjeOoksitvQJUTsV8J+m5DLxQEEiNyOic50R0457eLIK08SCFP/71OX5/OMigp6en/glqlkqlUJEDtymfQyqhzqcSeMzEa84m+blPVKqaVIZ4j8qIq4EAgkkaoeCazF66DxVrSgxLaYQmN5opn0q4fE8BoXFJgKqtiZdOmmOw0GgGEYtniPtZrCmHNm+BTI7jTDnRohs1mKLj2oASoACyKC3Ll2rE5houVrCjT4y5nOdjdkKwdNKIBm2zSY+ft15WShpaDU1iLSWWNVU2lH2HGwHuHRPHPubgOaA1Z2iigiOOPBIbamI9n9fs8vldeOGFcBxHMckb4+ckzTV9nSpriYS/h1HyRJeGII05mpM6yymK8aSDnL29vZpuuARnJDunDI/3/C1bthjr2lhVJiLlWrhsbjeWzBUJTCp9tgN31uQLENoHu2fPByDAuqwcp7mCnAvyWRyx3NRS91hbLRqg0p+L7ifYHbW7WqJBW12rtRY4DPxlkx5ySaHdBwDHH7bU+B43e4Rn6NUD4CRblAUWgyqKaauYlCbbFVDSGYCqqCjDw8ZtArxo0JjKOQngPvTEM+j1BZjSF+Rw8PIV6JdJ6bxTitSaJtDb1rSl8xfNBQn0Ut8ntmEU0/ass84CoNambFKdq87WdRBMrfSf5Y5cDE9U+bu5/aDTDQBHHzQD9/7ra/GaQ+ful+NNZnqSQC/b1gG6ak1JGmQSU7tOGjOjpSo2Vlvxs+Kh2O22Kb17vSGcrBrR5RG279pjJHPKSGC8XGU9eAAYlPtte7KC2e1ijR4NUtiyZQtrUjJoG7i4+eabkcvl8OEPfxg9PT2RGrdVTsxO7r/mZDCiV1KQ2QDMhO9isyz5T6BmrBsvx9IJjwkFR79SgE6c+K4jwfNSTFXpOXUlEqrVakifdELeD7uqQbcmTX5huKzuf0Vj2kaBsZS0qwbO1Jm2gYuJiQmWlNm4cSOGh4fxx9JC3FI6GGiahl2S7duZT3ESqwKPqwaKWqXU/A6z0oH0zKvwGOxKZsT6pwN+tCfp3/k/bbY8gh6fO46D4WFxHzzPUwnGOmtlyoondMsVxFxJocqySfS5GTNmoKenh3Vwf/vb36JSqTBou2RmOzqayYdIYPHixfw5W/+UfIrpBeUH7xkTY2Jxp3hWNEcJEzjiiCMir0evioxi2rbmTXLTUUtEgn7lrAJaHdW8fHprNDuZZN9GY0BbvbEy94vJvvyxMq1dJK+iKndsW7lyJTdwp8R4XPVzPaN9IWp9pf03cP/vMM7/We0AaHvAXrIt7JRNKoIUHnlqg2SHCavJMnUAoQ39N7/5TehYDz30EL8eHR3lLKCtp0fgRBUuTj/9dAAmEHvppZcan7/tttsAqCZdeqlUEIADqKiuzWTN2aShdUndUsmiQAtyQNuawnpazbkka5n1+Q2xTfRskJJKy4vlqlHaYxuDtk585mrFjGYkUePrzzvlWABHl1ggJoV9jvuykO+LEVhQ8X2DoQSIgLLJEQDYwqzITAZw8PxGVd5y5ZVXGuCCHqgREFbUxi0F7mmLNTpL6tjmrGYxthVyKbQ5YoztrInAgspf7GQFbdrdBTV+FnTk0eCU4MPlIBgIA7W6BUHAgERiCo2f0pY8wrPPPsuOKTkpiSmAeQRm7pIZ7XSdFCx9lsZSwhovUZq2i2YKh28cSbwwqBgbBJbqLDs7WQMAe/0G9El2DgGoVFrH+nRwjZJXEusfK1ZDUhmKoeyira2NGb+zC+a5k/a0Dog1NjZiRJ53Zy7+PqU1tiiNbSDMtLWlSAqN6l4kUUObTMCM+wkGQWx5hJdqbk2MRVpn7BJ1QJVHzmrff420UlJLbKxUxVbJimlIOrjq7avRkQXe++rDIr/nOKrzd1Tw2TsoyrJojW8gLVHfwerVqwEAo754b9GMNgUeT1Qw55BjMR6kkEQVZ68UYOOYDECv/Nc1zDRpz9cDbWm8qHGhKjX+Prp3pL2tA1+kr243IgMmB22HhoZUklGuL11tBQAiMUJspdHRUQOcoXGiN2SkZA2Dx9ZakdSCTl0rHABGJsTYTHtAXoLHqbw4j3H5WzbreapMW0fKZ5A1WSWL+RhtaJ2JZOxFKc/oSj+rzQzydN3w2VLuBwgn/3TTdfDIuLmU5ofZe6kOeugJO2JmVgIXW/cI7fQWjaHaJJelx5/fgj4J0vpw8bdtg/zvrlQ0247AF7vhHTG9S5x8rhpNhqa1yEDeCQe9VLFEQbwOruqAZb2Etm4djYqlTX0Kpvrdf0TT9wB9C2mRQEQ58FCsqrEwVaYtNVIbGBnHC1Kfeo/bzkxbPQk+f4ao0ippfteEL1678Hlv3jkkfGTy86myZXFXI2a2qITuPffexzJlLI8AL1Ruu2LFCq6AoGTPvsgj5OvIBdDv0jwqBglOLMZVgLxUIx9hSOqls6Zt0/5N8Ok68vUkEr7whS+E3mMguSMeSCameznwMF5Tg7EGj5slRcUVaWa/O5qmbRxoK9734aBY/P/Z+/MwSa7qzhv/xpL7Wvte1Xu31N1qSS2pae0SQgsCJHYwYGBsbIM8ZrGxxWCjYRgPjO3X79gzHo898/sNtsc2XjDGxjBmM2IYNgESCAkJSUjqVu9b7ZVrxPvHvefGjcjIrMyuzMqs7vN5nn66lqzMyMiIu5zzPd9TUJZGp06dwv/6m7/HGTcFFwb+7qvfx1lp8zXan1HXoP6+57TKqqA1TkKrinjyyScBAPGUvxcJ4M1JAJTd1noTVfYIMiCoWe309fXh6aefBiCCmzRXN/Lfpb1zFUbNHueOV4hESdyoKGVxMLj78z//82oPXKlUVND2wO6typ6n6Fqqimtubs73OoZhqOPMJSLqMz9XFq+zf4sQRS3LxttBgtXAFLQGAEfFIbT5J9AUeKuMgxiGgbdcu8X7+US4GCtni2urnseuXo3s2SOsPWhL67FmlLZ33nmnqvCk4Laqfm5h6iN7orD7MxlSNc2sDp8t5rwZSEURQxmAgW+/sOT7HfnzhfkNhzVTogEimUz6TK+DJfQDmneQHsgKKmgJ2oju2bMHgD9wVq/sMR0ofevPJFXQaalUwWVXHcD/Lu7AU5X6Ja802QcDwMSQKQJ7p5xUTdBXNWeAf+NBJRKFslM3SwiQQsVTpoVhWyYmot5klamj/gPEZ0BKCX/X9taUCueD52nrag1cvM/qslwJNqr49dd7nS6PnfRfC/RZ2AELhz7VoEgvlyeFiX9metGWAbx2/yQ++lPXrXrMe4bE8x5zGisfCoZYBF464zVSMwwDSVlyqgeY/ut//a+hz0FZcgo8N7NB0JW2rissQwoFsUFSzROaCdrKpMCpBXHtNPK/+9ArL8dbD85g65D0nAw8NEyJdekW4Xu15ERxVvMInnPimJ2d9TU5fN/73ocHHnhAdTGvuCY+V9yB/13ciUrVQUW+L7IRoITGkhtVwdVsPKKsDc7ML2q+rJ6HI+CNGxQ8vvnKnb7jpmtHXxyZpqnsEXZO1B83Yto9O6Kt6cX58VacwaAtlQwCYlNHwRZvYegqT8G1smXSv+kO8wykjeRlOza35TUBz4d1peKqDXEuEcGBHeN46IG78eYbL637tzHVQMxCqVTyBbDOLYi5i8YwvVHd6OgoXNc7j+P5hHqu2eWy8nHPGwUVDKRmPPMrYm4E/Cq/IJSYdLTrhdTfnQra3rhXfC7PVAfUBpugctu45kccFrTVyyuXlpa8kmoZtB2loC0sn5e8bpdQcG0sFitqzhrLxWvsZ4ILfj0IGkygnpIB+GTEVGPK2UUxttE1ORRQPVNSpt7mQZUFBs5BUN1erwJDVzbRaxhw1ef+b15+GV5/1SQuDVgIpLSN8sSWXfhmaQpHqtnQSiXi3LlzNV6FDkw4ruGzhlJzKSltDX1s0YIMFKiCpfyHh/PeWEPNyJ5ZtHxJqk999RGclb0OLp8JH+8o+OIFbf2etjQvB5PPm8ekchr1740weyrLNFRpaqRBQlvn9mtFtdi8G9eS4e0Nwq0nmTpBW1LFl2FhpeSdm2b6FADenPfCyTM4Jz/3cyVgWXa90e2mBgMNYAFgRVu/kBLtiBxbv/zlLwMQFX0AcPOVuzCUjsGE8Jt+/Fnhb6mP0+RXH7xXqFnvG97wBt8xNPOZ5qTFwexSoeZ39LrDMkFRdG2cmhfHrzefage0xju7VBT7IHnuhhvYdp0vdOzlkGQnERTlAN5Yu2fbdN2/05W2xUBQ+MyC2JuEBW3jah3mNSwLigAI3S++UqmopM7S0hK+97wXHHt2towFea3OjA7W+PYvLy8rpXfOqP38aRytwFRKzUhMzA/6PaRbsvTnaoUG60E04GmrV3Fs3boVhw4dUt/rTTObeb7f+q3fUj//4Ac/iLOLYm8QM6pqf1B1zZqG5NPT03jggQcwODio7qWtozlMyQq8Eqy6japyuZyaV1MxT4lOifa9UwMAXDgwUTTEz3TBB/WVoaamek+MsEZkenPYCCq+Kqqffck+tVfeNunt63RGMuIYdKUtJQH1ZOCBAwfUZxSPrH0dqIK2sHzNA8OIxWJKbHTwoLBzrLYg6CFoXoiE3J8ZGc+gBA3THBy0Zc4bwzBUafBTi/6sUQUGHn/8cdx5550tPSf50oY1CAOAYVmCWIaFJ554ArfeeisA4E//9E9Dn2/BieKMkwgNHvvKHnWj8cDma7gvozUoquCok8MxJ4snKiKTFvQYrVS85j96t16dqZz4/bxbmx2nTGdwY0WZylLVqSmX1CkrtWjjQOptez0PrIFVkvS0cZov+IO2nbZH0BuReT5r3ufzv+5/I5766Mtx7Q7PEzjYqI2Cn7HAwpzKLMuwVLCSzl0iELSNRyz89mv34aV7a72Hg7z1LjHJHXUyvsxu0CaEyn/3bfcvbCnYrgc3FhYWQjfrpDAlxVy8iQ2Cfk9VYWB2dlYlCiibGm3CuIjUM+eWxWs2ysa/6cAMPnzPHrUoqVHQhwS1JqRv2Bk3iaq2aZhz4/jbv/1blYjRIQV6wbVRhYUSbJxbLqugLb33mbQ49qc0P9JM3IasSMbpc/Nq40FqMgoy0HVIi/grtgaU9yGN3ubm5pSC4OCeWi9m9beaX+RVOz11nWUavoBusON7KqaryCrKCoECKe1Uh11zmQiO0jVXLpcRifg/Pzp3WydqbS/OF2rqWKgaOCs3dYOZ5ho00PhVhI3HHnsMn//85wGIzQKpMylgH2x2WYIXkBrLxdVzza2UVYOyvrhnhVN05PUhE1wRVBv6d9O9RteL4zb2RG8HP3/X1Ri2llGGhYfK/qYqdF1vGfSCkrrald6/HuQslUqaPYI8diq5dk0VMHRdoKT7rcLCE0eFgjOKCjLxCAa18lQgzB7B2yROTfl9HM/My87TMRsDMjh08twCHNdQHqhDAdUzbSjqefx5jdn84+9AYNOdqjP+ecdraklO735823Wb8R9fs6+m0kVscsWx/Ye/+xZ+VB3BI5XG88/hw4drlLaAWI/pgfNgFY/+3vTGZHT9uTBxZll87tNac7xp6fV+tOo/F9986oRS2t5xTXgyZVTaUKWj/o0xzUHFOonIzVLBtFL1f16jo6NKJUX3a7AEma7dZgNpO8byAIA5J6bWEUG/+42EHrSNaNfb2JBQnpZdCwVSObYwZ5An7vMn55SP8WzZxFKpVmnbF6hwchxHVQoljLKqZnroh+J6pSqgWVnZsnd6EKZpqODuuSLZafgTBxVYqsSXoOQ0JRopaNtMsnswJ5IVc8u1VU/LhmwcKhfSZVg4LX1aE6usw1uFnu/JZ19QCTcbVWQa2HadL14zx8YJ39e//vW+72n+3zZRayVBUNC2CqsmcUj+2WGqvri2DvPsEeoEbVUjston0ivZzjhJLFfEY6ZHB5RIpyKv0X/5l39RlVUTmdpzoeyGXFMFsenY9LXaoJboy3dLaWt558914Ut8XnXVVb6AanBOD0OvQNMDnrZt45BsBpa0XSV6qMDA9773vdDnuu+++9S+JxuPIK952i4uLiKR8NZ7NDaNjY2pv0lGbRVwp3lkKBNTDfFWIJ5PX68+8cQTAKCaV+uNwShoqscHxjTv+rxZ9I2RmXgEH3zpJbh8NIabdoYrbbfJht9L2t6fjkf3dZ2YmFD70mb6v6zGkBSQVWDinnvuafrvgv1OWnF6oX10mKctzc16kpBZHQ7aMmuCJrCjAVVh1TWVovb666+v+Tvy+QT82fAbbxQNGVTwqEZR5tkjPP3007jhBqGwpFIoMoE3TTEw/XNpBz5TvATzIRV6ruFNRHoQKbj5Gh/qV5P4cqmKJ547po4BAP7yL//S9/hnn31WbfjzdXyL9l0i/HnCmvmooG3Ady4rGyFRUyUdX9AkKh63Wp+Ne6/1GrftGA8PLhPkF3lc6/KqH2MzjRzOBwraFvWgbSBgRd6ctPEMbr6VmiKw2cpq6kXq8kuZ9dQaFG4v2joIAw6W3Jgvm/qBD3zAe1+miUWHGsD5/bHiWsdqnT//8z+vCdySHzIF0BLW6hOgbgVCCgRaLKhFShMzMwU7qEwv1UKAKRgUzoYobYdlib8q45KbtAU3hsMvHAntWkznRz93Z5aKavFD7/299wrF9PPVvHgvqMK2TCTk+z67sKQ2HoPSmiCqle8WylW16NoyFChrjlPA1H8OydN2uwwEhJHSTsO1e/3BXT3pEExm6c3EEqZTo9BsVlnWDBPSO09vHEPdgAmlaky3T/1D76kMC3PSX5LK51aDvORKroUf/ehHePjhhwEAL3vZy1Q5MJVy0fhPAYAludCPo4x4xEJcbppPzS3h8UNigzPZl1QBLgruULO0YLIoiGdXQve9XtLdGaWtaRr445+7FYCLn1QHlJUL4JUhH9ztqaR1pW3alok0CjI7DqqOd5/S+JzR/FCpEqYKz9OV+OJ3hV91Wt7ftmWq5nJAiD2CFuQONiKbXxabxlwyhjG5SVkoOUrJZ8BVQSOCCjcqgY09bcbC7CIAbz4m6n1WuhKplXJswzDUuuOhM3JMWaW08fjx40qxLeZDT2n2zDPPAKDGnP7NuB609TWO1Dx3z5bFz7dqCqKdm8blexPPt1kuA4+WE5iTysi9U+H++2+99TL8+t2X4I/+tbDRimjnybIsb04LBL0G5JgS9LR92ctepu5runepMougdUzQ/qgemwfF3FxERCXd4m0Owq0nMdvz99bn4FF5r5TgBW3tOoGwMGj+fuyEV7215ERxbkGqTbXzTfcfqSs///nPq88yZTnIyca/j/z4edUlvqolXcZlB/aMbHJFyrxguXEZJr761a+GHi+pCSkxkLRWf68j/eLiXipVlSpPvVf52ldvH1cJp5Mr4vym2px3o0Z8jz9zSK0vk0a5I5YdtGYuNlC1A/AlhABhaQUAI9n6SVXdqoOS8nTuSKUctgyNR7wA6XKxLB8X/vnRz8MScqe0oO1ZN6nsc/pTMRWsjklrne9///ue0nv/JTXPlVAe8d7rrMiEha6S1AN+iQYih06iByAdeL79gNhPUNWr43rjenOetrXX33PHhOo4GzV9FX4/+clPah4LACdOnPDNTTSulGDDdV1f8zC63vP5vFrvp2N2TVKtPxVViSASypw7d079noLsZOeooyp+teyBXhU4EhJ3f/uN2/H377mtRvxFXLFzEwC/0jY4nsRiMZw9e1ad/0gbPLFTmoVHK9CeyrOKaEFpG6Ggbe39mZMJjGKl+XmG4aAts0au2iE263qGGxADM6lrwro06r62ul1C0PQ6WBZAar6ya+LYMRE8pcH78OHDysN2+/bt+Pznv4BFNwYHJv7inx6sOQY7Khb/FhzfgicZ87+XoXxGBSWXilX85Nhp+Z7F7RNU2j777LNq411v4J4YHpDPUTsZHjt2THaAlqpPuSDok0buwQZHAHyKZlpopFbpJnXpWFYpTm7cv7vhY2kR8/TzYhFNEztNAJEmN0GtQhv2Rc1Lt14DERW01RYPxWJRbQ6CwRNdvUiBXcqsZ9fQrTMZtTFsCqWAnszQvQhvuPlWVX4/kfcvbFNK6ed/nz/5yU9qFsekNCuoxk+rl8CLSTdcgeA15lv9eaib8qJUKGRaOGd6Ca4BN1QlMhzwaNs7INQ/DkwsuDF1r+t85CMfAeBXhpxZLKmAP6llb9o1ijjKKoBE5ZG0kJ5bXFGBx+lhsdDWFR5kCWHBUTYbBHVc1xdHjgusQPp25utvZHLaRmbrkF+9Fm8yaJuKGDX+te1Uhw3IIPaKFjTR7Vpc1yt3DZairwVddbFUFteeXqrWiFTEK7k+duyYWqgPDQ2pLsDkyZxUDaBMuK6LeJ9QN1LSICWv3eePncKxOXEd7Nk8rnUVlkFbqbRtZFMD1CqzrZjYTFpwfJ9ru7l8ZgDXj4jz+K3ylKoKINuPq7Z7gXhTC+r1xWUwU17fYqPl3c90zOm4dz4WFhZQLBZ9810S4nx++2nhd5vWOo3rXceDwaOIZo8QhDzX+zJJVVpZdEx1L8dRrlG0UvDKMfz3DClu6H0Gg8fJwJhVb673GqcZntK2ySQnlVpSCbSzypL92LFjagw34Xh+va6J2dlZcRwwQLYdqjGk9t7SWqdw3XN3QSYZBzWffurWTdz3kj0w4GIFUbgwEEMZo3XKthNRCz97wxbMDEifcc0eIRqNqjk5HWhmNJAOb0R2+vRplfCm9ddwoDkcBVzjTQTpAPGZ0nVKyrzVkuG9Dn2eUV/ZNjXwslAgn9AWEvF5GUh/bt47rwVEcEj6IMe1jX4+5SksK66B73znO1rjShPjspnQqaUyPvGJTwDwd6GnpnQDCXH8FPwYmvb3eSi7XhOpILR3oGtosEFwkZgcJvsb1PSUWJDBoEs3janEwGxVvqc6XtfnS5+cf0/MLuGcK87VULQzlh1Rs7bqKwxdOem63toguIbTsUzDty4x4CIhk3VnpKVNJKQUW58vZ6W1UaROHImWmcF1ruv6lbZVmKrnQD4ZUUmdviGRoCqXy6HzIqHbIxAFGbRNalVQU1rD3Wb9otuNft87MJTPM0Fq9KD/et3nC1RI6JDIpz8d9z431/QFTXW+9n+/7hPnKAsNef3t37/fO3YZTFxYWlHr+GTM8iWIAPF50toiqOjWyeX8c4WrBa11pat+P++Zbm79qbN5WCZ/tKBt0Ff3p3/6pzE7O6vZRK49IUPzOll4NGpmqouDyO4jzCpiNUgEE5akHsjJRuCaCC3MaoXxw0FbZk1cq6lxAE8VUYGpBn8AuOWWW3yP03/3f//v/615XtooxaPhG6MKLFUK97KXvQwA8Bd/8RdKwTswMIC55YJqwvONx2oze9GEWPAEyx6DSttMPKImgrmlFRyfXZbHGD6QHjt2TC1y6qlvcrLxQ9k1lc8Wce7cOV9pdSKgtNX6RKhj0MvAHFsslHLJ+oMyIDZkv3rXpdg3EsOtlzYuu4xR0PaQ8BUi1Q5N7NEOjSSUeddtGep5p9LnqC82jh07pja8sZBNCAVyaYNYlRv3vszaSpdetFlsZo85XuDt937v99TX3/2RuB5tVGusAVKaojAI+bsRNKFSqeFQE75mhmGoSTSoQKBASGF5cdXnodIXusdaKffSS8aiAa9h9Rjbkp7ZgpdcuRM52Zxrzo2rIAShn1/93J2YW66xW7EtE1ePeK9JG1kKuM4urqgF3s6ZcXU8gFjonpJeXYkQhUs2SZ2ExWs9+uijAfVk/YXjgCz3N+Fgos+/kUzamu9kIJinJzKycQvpqA3dAzfaRiU8NdUqwFaBvl27dqnfF2GrRTQFWNryutK3twwLK9KCYKSvOV843T+PqjEIaj5ICndv/DdQKDvIjIjESEY2kMhKc92jp2cxWxLHsXfrhE9p67ouzsyLhbhueRFGIiqDGPLeG9+8DcD6lGH/l5+/AwYcnHOTwt/ZNVUQhBqNAn6V6VDaW/wDIknpjbmuusd0b+BqtYqHH37Y5y+ekBup52WgZyilXcO2d70GfQ0bKXtWZMBpKJ9R10bRtVRQKGHUBnHCPKh1DDsiz4H/HgoG1FN1EmYx29vUUtC6WTuhSOC+pU1cPV/b06dPq8eYcH1zIpWulrQAmGeP4J3jbDJoHyGuQ1qT6E0Rg1YTN+4cQZ/hbUAHzJWmFYC0+XdhIBKNqeqXfMI/hiilJmycdRLKu/BrX/uaWkuV5Gc5EugpkLAc+X/zSea8Jc4bBXlWS4b3OvR56nOI7l28opS2zc8Zg9RrIrClfPKYSO7HtahaJmbDkM9dhI1qtaqCp0PZBK7ZIwKiC9WIGqvp9zFU1FphUyD4kR/370XoWMKauJLQgtZ9uzZP1TwmSL9cExYcrwkysaQaKSa9RmGynL6ZgHArjMpxbbHkKK//emr2tRKX+56wBp6A5w2s483/bsMGnIDfSziGiro2Z5dkwjMkWBXTxv+5RbEXqxfUols12PxqwY2hCBsmHAwa/vVAXzKq5oRoSpaUu6ay/dDnRYKqE8g/HIDy201qSbDRfk/E0agHRCeJ+uzRzJrGlpSsrGjq50be1qoxHAwcPHjQN96Tp+1of8b3uek2ADqPP+mJUpJR22tWByu0iRgAHD/tBYBTUVtds4BYR6djNvri4rWX3Kg6vueee67uewK8uRbwByr1/dqNl+9o+BxhUKXAkhuBU+c9jY+PY35+vq5N5PngqcEtfPzjf9LQYpEqVgDg+eeFBVgrVZjEllFRwRu2Lx3Mi3Gs5Bg4UU3jaDWz6mfCcNCWWSPbR/22CONpz99Gh2wPdJaWRJY0qFQFvAEiEfMHOMK8g6688koAIhBMk8HXv/511cwFEAsoWgDSoJ1Ii2MPNlkJKm11r8uTZ2YxW/BvYgD/Jurs2bMqSFOvOYm+oQ3aKwhFkvfctDmMK5WxLI+qDOPPClfgSDXrO4fkuUUdgRvxszdtx6ffe1vd4ySSchFzclacQ1JRq6BtGzKBYdDTktJW9wKsfaxXCkocO3ZMLcxpw6ajgrbwl0QPZFM1j22Fn3qxyAgfqeZUMEYPMv74iFBrp4xSzfshb8xySBAhGOB/9NFHAXibmonB8MZ3QSzUnisASv07Prj6JiAZyL73tXDOKFAFNG4CktSCLC/aNYHBuPgMaUNE/NVf/ZXv/OrKkKcOHVPjkW4N8b5Xec3rKClBAYuFlZJSi2yWC4+oVt51Yk4EJsKCQPmMOA90bzz44IPqaxNOw0XPmOxMmzGKvk71AJDVxqVapa33/UAmATOgYmlWWdYMFLRxYarAir7wX1Eb7HJbvLgIaqRQcr3GJbkGDb50+qXVht78hpQVXsNHOU5owYylUgUnZPCVgpX9MrB+en5ZBTin+pMqQefCwHKpiueOins1VU8GJKFNHd2LS7IhSrABUyfIJ6PoN8X7O+WkMOfGAKmQHNA23LrKdKKfqmHE8R49elTdX7ZWtUJzSlVuZH/0ox+pMsYIqkjJ8fisvJcvnRlVrzGo1RQHLyHd0xbwXw8FWWo3OpBXipgSbOUdnwgZa2h+LddJwnoVOf57SA/amnB8Y0vo88NU64JmlbbBwD295x/84Aehj19ZWdE8eN3QJmuUjEqgrMYYvVImF1g3RALBuz49aKsp6ZNGCcPZOLb1eedhx1DzAStb/6AtW92rQzl/MtCrbDDw6eJu/E1xH56u9OP06dMqQEdzZzaQuKZgbbP2CAAwnhHHQV7PwefcaFCCUq9iy2qq+KWCtClpIWg7Vme98OwZIc7QhRCGUVvhROuO6eE8dslxQFfFKaW8Nt9evl14UFIw7YfP+hsV0RrgM5/5DABvjW4YhrJTo2T3JVtq1ZNBvMoBE/l8Xv284pqedUMugYRM0pGdxvhAc2uyZtk0KoItK46FczJo+5Kr6zfhXAvJiDfGhrFz586aZpDLqqqhsur8r1ehxIyKSlLNyfV+WFk4jacOTMxKb/t6+w9Pve89j23byhphwFzBpkytMpP88+eWSSQgPssYyr6kFaErUSswkclkUKrKxqZaBVpWE/F0soqmEZZpKDFMFYYSPwWphMzpYSQjtO4xcW5uQVn1FQoFzJfEOdg8PqQ18q1/TSwVvfs7Zpsq2Q4YdZvhkY+9hSos00BCW2/FUIFhGNgxJWzklt0orr32WgCi2rdRU089aButo7TdEYh/NMNwJg4DDlyYatzToQbLS0tLdRuynw/6fm1uaaVGYa1DQrp0Oq2qElS1YhNVmMT7X3sDfuvVl+G/vOvlIccjrptj1TQ+W9qFfy7txNd+8EzTz32xwkFbZk2M5+KqhA8ApnPhfo4AarLTf/3Xf+37nvw5AU9Fk4z5J0hljxB4/jB/y6mtXhZs3o3jj//4jwF4/jHpbF58H9hABf170nFbNec4NbuAxUptKcwXv/hF9fXi4pIXtK2jtE3FvPcRVAwC3oRpwVEbK728BACOO1m4MPHDyqjvb6lEdKS/fd1J83KjQh1WKXioFNFtyASGQQH1eVlqHFQ76eietmfPCgP8U6dOqcBSNuSziBv+zQMpdEabCFo24qpNA0ighBJsHHWyiMX8igPys83ZtUGE/oynKATQcMFEiw6yR6jXsTRImJUE4G2Abrlm76rPEVSMDuabX8DopcWxBorClFTjmXCwfTiDXdIPdt71B22pmQAtGPUF3qETZzV/aO86vXy6DxnZCZgCZKSwXilXa7rNU6DUhYHHpa91NiRmSBlkuofPnDmjNpCrbYR3TYpyqyG7WPM7PYjWyB6BAr+6Si/YWG8tRG1T2arQdad3pm+kalwL1NSxDEsl5PJNlp6SwkVXDJFtD10baXk9m6ah5rSlYgVHz4pE1VifCFaS0unUUkUleybyCSQiltoMLRQqOHJKKEBImVuPlArais+ImqytZqvQLrb1ifdwyklhTgYBqMEoob+DLWMiaEAd2k+ePBnq1arbBZRh4vjx4+o+iBgOsjHvfgKAK3d5SrnpIS/QERQk6Rtxx3Hx6eKl+GRhDyqugaIjfjeQS6mAftG18JOKuHZeeqVfjQd4Y1HYmgUA7LisyAmsE/TgfjCwqTOeSyCGChyYOFEV11C0TrfzmteWr0njNam4vvWtb4U+3nVdT2lruKEVFRRU0RNi+nDSn/UryYLJg34taCkCGOK9jFhC9fbyg57V0ksPXtbo7fnQ1XKlclXdW1PD/rnYtky8YlcWSZQQkePQ81X/YyhoG7SseP0tV8A2XLz+liubPq59W6gKSRxffxPJ8F6GPk99zqDGlSVYOHV2FkBr9ghjMqFG0Nh/ZFE8RyaglqZkOSWb6f+dM+MYz4m5XS8fHp0R1QdJrWphp5wrl9woLMvCC2cDFRRapQvgzVHpdFqpzmndN9DEZ0pJOQpgPlSewD8ULlHVVDaqyCZspOQlR0EOapzXLlQjPjeifFb3THZGaZuTn1s9pW2hUKjbhLSZ+V8fWxJGVVUELcg+CWEBIn0Nd3ZJrt/qBG31PgTqdRIJFbTdORjFy67dp35no4p4xPNSPSu9dWfVvOhViAZfh+b+CkxMT09DCtaRSXrXlp5k7lbQFvDPJ/X8ZZv1X9cD1oePnUAyKebLF154QTV3mxru99mL1VPN6o06TdNAPGKpYy25lq9JGrEgG0/THKwHJ2mcuXq3GD+W3Chuu+02AKKi9Rvf+AaA8D2WX2mrXT8RCwem0tg5EMGmgdbFPZZpICXvDdoH6rztbW8DIBKwThsbkenrlQpMX1O3IBSTuPrqq1U1Jx1LsPq5EcmojdddPRWquA8TXDz2Qq2Aj/HDQVtmTRiGgbwMfFhwMNUvBoKw0sUXvehFvu+pGQBx4MAB1dVVNR8K+GSmNIm/PvC/5jWvqX29GzxLhjk3prLrpArL9vXL4/bPILZl+oKDmbitXnd2cUUpyRy5aQX8m6iC5tFSX2kb7ltKhE2YsUBZKAWmjjoZNfibpollqTYi39x2MCwDFYWqeG3laRtoaNJuaK48JxdnwXJRHeXfB1Mpkc6dO6cCPCN9tWVNKVlyTpuGktz0969RaWuZBvYPi+f6SbXf11UV8DYkQ6na64OCfrTx3Lp166qvR8cf3ODWPT55HqNxv4qJfAs3D60egCUbACLfwmY2Fffu60bl42nZWC1vrCBqm7h+n0jEkL+Ynqx505vepDzsdGXI8dklrczI+7lhGLhuXHzfL99KvyzzLFYNFGQWfFgFbb2//dEhkbQYCPn8+mVXeT0IpBSGq6gnX3NwB/74LfvxV79WO56ND3ifSVCtG9M2Mpukz6se9Eu1+f6MBzbdH//4x9XvVlRQqL3+VH1pz9OWEjHNKm2nyd9UU9ru3SsSE7RRyGhl4REVtK3i3LJ4H9unREJkckSMq8cL4rmiqCATj8AwNP/PQhkn54QCZLWAQDrpb7g3SxvRdWp49LIXiSDbKTet1ITjgQ7ZukXB5KB3HVZl0rESoiCNWCYs8mR1LZRKJTVnRYwqhjL+8WN60EsyXrp5Qn1t13jQekrb+UIZi24MRUQw58bVmJmORZQipogITrtpGHDxc3fUBuuU11sde4R4IiXfW+Dn2j3X6L42TQPjUfGZHpEe583u12n8u3rY83sFaisudGhzZemetj6lbVQ+t3d/6oHxoT7/2K+rUi1UfXN9xDIRl4HTa7aJ++P6SzzV4pVbmvf8i+hq/WJJ3atbQhKRv/+2G/D4x16JT7xTVEucdNK+9SCtq4LrrzffeCl+9O9fijdcvwvN8qI9/vm3ncnwbkCBMV9zQa1K4AWZbIo0mVgAgIyWPDPgYkdWJsMdsk7y3+sqWQ4K2kql6kAWozJoW4Kt7ud4TozfGc3fmPYaC24MpYqDMyv+4w2urSl4OzY2pkrA6Rrra6JbmG6x4zgunqgM44ybwpdL4vqgqilKRhGjfauvpVqhX86DZ90kqjBho4qpvrXZedWD1v31lLZPPvmkKp8mVFLIXH3+122bUhEXNLQslKQiPmSgjGvrsLnlct3HAfA1vyJWVlaU1cndB/fgwE5vrqEgX07658+veHZcADAcD78ndMuxsmvi8ssvR1luDrPa/K+rNLsZtDW1Sju6L4J4/uuN16xR21Se92dmF5DNiuv96NGjqgKmPx1T62cXhkrU1rymqhLxrgtaU5Vg4R//8R99j08kEliR/Q1oDs5qCSKya5weJCuViM8ei4K2/f0iFqB77XpBW9dX9WYYBj7xrhvxz++/3V8d0gLUdDXYPBHw9jSFQiHUU/d8Ec26xTmquPWbNAKeRca1116r9vpqDxVpPmjbiCum8njPrVvxq7dMYjoiPhOynmTqw0FbZs3022IAShtF5KTvKik7SFpPkP8sQQo5ALj88svx7LPPir+XA0Q6EBiiDYMLwxcY3rlzJ16oZvHV0iaUXBMf/OAHlToTAJbcmFoA0oCU6xcLQTMkk6iXJWZiEaXCmlsqqGCOOE65gdTKLJRCEk5dL5qk6lAe/ns1eRlhQVvxf8GhvzXwTFUEErZu3aoCqyNtXCxS11Pyw6PgOh1nKtZc8KRVaK6kMqVGSltb2SMY6jpaWFhQC4dt0xM1f0PNg2jzoDb9DXxHm+W9svz+UDVfExBQvpFj/TV/R6WGdB09/fTTDUtZAK/ML6x0KwxKVKTz3utXXEM1y5ruX30TELSQiLcQGMxo93WyQfn4RF48biwmxphLJsTxkj0CWaSMjIxg27Zt6u90pe3Z5aryWA3ej//lXa/A775uH/5/7xVB0iGpFl5wInJh6apzqgdKXzgnrv/Jgdp7LKl1aaXjI9/URoo8QCSMbt896lPVEpvHPcVONLCI07Po44N58Rhtsb2av3WrkIqGyrt0jzLatKXt9gYdSQ0mFrrimmm2ycuYZq0QhAKOuiczBR+XSxUsVMS53jYpzv/EkLg/52WCgxbggGf1MV8oY1ZuKEdXCfJk1Zwp3hNVSrTiu7kWKMh2xkmqctsrt/pLXvXLTS+Jr8JEuVz2VYboRGkjC0pSSjsdw8XUUN732EnNw3nruJdwDKqoIpr3KTUEBMSY4DUAtWqujU3RpdDGeOr815mLozJoG/TW1YOX9iqq6BsuEedzTirjYk3aCf3P97wSH33VXnzkTTcBWN3TFvDehwlXzYn6OmPJpc7u3rnQx5Ng8k0fn2MhG/isVGW/4VZhCbRpIInrpxPYmSpgy2BtorQepmkor9NCqeKpIDP1kx57JnKw4KCAiLLAALwkWdDCB2h9A7x1yP8eJtuYDO8GNKdum/CaIomknrhWnj85C6BW4d4IvXdD1ihgp6yIIQYC6m3yZ1f2CPRZp6LIxCNKQb3kRvHGN74Rz58QlVO6ynu6P4kERJPRE04aiw71LhB/W4apFHTnzp1TwUXyX3ddoCDHi74m5kd6j1VYOHxuWc0bFFihZkdD2YCdRxMB4Vag9YjymDZXQnsCtANKUNYL2lIPER1K2uZjqx9TXEtM5uK2alhXcOqr+kzTUHs26nWRrKP+o2CurzlxuYozsoHbwe1j2DacVvMWVX2RR/OirCyclevNa3bVX4fTHFCFiS1btqjeI7m0t07W/bnrNVReD5TSFgaOHz+ufq43BW9Waas/plh1lVfqyZMnVVK/Lxn1CQsqMGpiA+LnXiUOQWuqkmvh6FG/Bcrk5KSqjqRjyKe8+SItb73xvKfe/53f+X+QSonPhCwaqZE39WoBvPWYCbdGidusT3s9srI/wqLrX4/oNpLlctlrDN0mmzE9idtoDaEeb9uqSRqtPXSP5jUdi2XiPbfvwrvu2IdxWbI4V2s/zgTgoC2zZnaMik1pxijV+Dl+5zvf8T1W7/4IAP/0T/+kvjZNE4cPHwbgLYT00hLAPznrnagB4PuVMTxTHcTQvltg2zZOS68bgjymKMAQUwqa2s0xbdoNuIhHTBVkOrFU9WUJw4KulOGPNvACorI9ByaqruGbLAG/nxARtEegACoAPF0dgOuKkl9aYLWza+30mFjg03PTgE/HmU60NyhEWCpoK33WGiltKWjrmqqkY3l5WQVkt0zUKnbGZNk0bR5os5eu01SmFa6c6UfaEB3TDzt+XzMK2l65a1PN31GJvh54fPvb397wtQpq09O48QNBi7ahEa8BHS0gIiHN0cIY6vcHLFtZhOZSuvqgfub2t3/+Hrzr+in8gfRE2jIk7tkCIioYD6BGyaz7Ac9XvK9jgZ2obZl41ZWTKkhKARwaKxKoqGy6pQUVTktVz86Z2gZ+yncbJv75n/9ZHI9S2p5/IHNSqqitkHFFV22QlYmukGvG37oVMvLyCHZwB7xA7kiuza8pN82UNLNRbdpfy/M3FY8nixzAu1ZIZQ14wfWlUlXrhC3eT3CDn4tUtb8TX88XKliUfm4zY43VhmQBRHPJsny6doxBzbBpIIkYKqjCxBE5Tl23168u1GOM+UTUa3Alz53a4AWub1Lp0JxIY1rccrF92rt3TDi+plYjWuOKYJBN9zk8Me/d9/Nu3KewTEQsX0L2vruvCn3/5OFaL4EaiYvfB4NYuuJrtfv6nmt3+75v1k5oeiCJN14zrfk4rr5ZpMdYhqu8av32COJ6mxnOq5/pyaxEsPmrFvgkVa3OJ3/5Zfj426/GFdNifDIMA//rXbfin3/j1S0Hk0gBVnFcpaZvFFCL2RYGTbHOO+mI+9e2I2ptuJpXfzNM9SdV6TNQ29xso/Hf/vUr8D9++iq886VXq5/pVQLk195KcUZaS9r3mQVcvmOT7/fDgXNG/uxF15bBU78VEZUPL7sR7NixAyfnRJJ0rN8bow3DwPaMuB6PODl1Xffb4m8rsFSy+5Of/KSyzNq9W9yLZVgqmdtM0Fa/lr73vFDkpY0iBgxx/fVZYo06PuhfF+XavDYOHut0rj3KtzCmR8Xcpe81dH784x8D8AebKGk70YQiPaV1MB7KJmqSLHrvAx3aF9EcG+x9Evx7ffw76ybgwEQMZcwMJBGxTNU8kaq+Rvrz4r3IxpaUbLturycMqDkmw1PamqaJiksWf96xJaIW3npwBq/dP6l5c68/ev8PvSn4Zz/7WfW18l9vIWhbhqVsDs+cOauum75kxDfHVGH6ml0BQpkblvwlNXYRthJc0fp3cHCwZm09lPfGiJy0phrJxmHAhQMTK7CV6IggwYde/UsxiGDPm3YwIZXxQaWt3rBdtzqKtMnejM5RLNW8oIviJZQkqndPrgVai+g+5kw4HLRl1sz9b7wNN27tw39464tVMyK6wcP8cu699171dbCTN3nWqKBtyr/xtzSJf9k1fX9Pi7ayIf4/fOK0729JnacCjrJ8JWiPAHib76hsfEWdY08X/YOnFfU2l3TsegloPfSNUBkWPve5z/mOrRqS5QzaI+jZ73k3jpNOCiMjI+rnjbrUt8pw3uvErUMb3WyqvQEagspS5qRqulHJnt4plrKDxWJRnY98iAp125QIHBQoqCD/r5e5bwXDMHCVLGt9tuJX1NJkvVnbOBMZreEF8eSTT+LlL681c6fHVUFlSE0qbeV5HJvwlAMUSE4bxaYyybSwJcJUTfXIZTz1wWCmvqq3PxXFr77sMmwaFpu+VMxGEmJzNKf52s7Nzfkyx7oHm+4btVrGOqnZrwC1vmw0VsxXpYfwRG1AjhTHVc2mo6J5eZ4vFFgOU5tHNE81CrjrDRmG212iKV+jELLIop9tDTk3ayEYgGnF81WVyssA7OCgpzKjMWxI82Smz2mxUPa8jeX5D1oyjGmKRQqUzy0VsSIrHsZXaQ44Jn9Px1aUFRS5ZHMJmLViGAZGI2K8pHln+4h/w63vGbIJ2wvawl/9EQnMpfQZ0caKxteEbWBS861NGmVfgG9UC9oG1fG6v9yxOW/zNefG1eukYrYvEBVFBS/fvyn0/ZOHaz17BNMW40cwzqorbVe7FkkRSgSbna5GsPlaI5SnLVw1J4Y1ItuzdUr9TE/6BJNvWS35m7Bq3+fUQAo372yPbyeNrw4Mr3R9lYDajn5xfCdk0DbbP6gS60FP2/MhYpnIGF5yINsgybgRyMYjuO3SkRqLHVqvnluRooYW+hToStutgwlsGc37fh+cfwakXUIRwuqGPi/6rFOyemFkyyUAoJr/bp30X2dvuPlyAMKCSoxBLkbkUrTsmio5d+TIERV8iEbFaxSVz3y1KXsv2zKVmvJffiAquUZjZXzlgVfiP756Lz7+/tfLY/T3mGh3cC6YUL9+T61Pd7ugBp71lLYURNODTZS03aopueuhVwBNDuVreoDUU/XROCGLWZQvfJAEiWMMcS1/85vfxLzcB/aZBS/4Z4vAZUwmpcZktVKxCjgulIo/OC/qeCpGv7o3KBT48D178Nuv3bdmteZaUPYIgeab1MjRNE2vuWgTa1bV8NI1MToqrv8zC8vqvs4nozAMw9d3hKohia985StqntLXyaTG1q9Buu4effRRtbamtdeI5q9NTSwjlqnW8ktuTP19EBL7AFryswNB26su2QJAXFeHqjn8pNIPw/BfJ67rxUHa1dCXrtEX335Xy3+rlLYdEGhdKhtBrnDQdlU4aMusmcn+FP70Hdfixp0jSjVEm7iwJlv79u2r+RmZ2ZOnDE0m8RD/FF3ir5fnkOrr8EnxHMfPzPn+bi7QvGhZdqoMlj0C3qRBC9lB6e00W/Yfz45dnoLmL/7iLwB4k0uw87PvPWi+uWXXVEpBCvyGKZe8Uh8Truuq4PCmuNhwP12ValhqvNXGzYXeiVuHPme9tLid0L5hQQZtow26PtNes6JtbB3HUZu/fMhks2lcBJZIjauaErVhswcAv/r6FwMAXnByqozHdb2g7URfbbA7pRrjeIuUf/iHf8DOnTtDX4OuewtO096lpEo2o15giNSlfZHmgmHBoFJLSlvtehlrsbtyTjaDoMU3IBZxjz32mPq+aniTP322BpxVPahSgWBKKhCkUE0R5HOGlVvTeahIH0/AC1qtRTw5M5CECQf5Op/PlqyBjF1V1hZp7VqYGK614VgLo9IfeiVMaSsXXrs21dqRrIVsIAkVa8Ezl8bCkvRCp0X70tKSuuf1snAaZw6fnldj3GBGNg8MVDBcMu0FEsjS4Mipsyoo0LeK+n1UKnjpvNH80d+gLLzdXLXZ22BbqGIi739tWwuUZhORGq9UCnhGAuMznUd6TxVDfA6pmI0BLYmWNvxK+XwyolSyQb9C3fv0J8fOqq/POQnPCz/mL5XemyvVVWUPUOPAOsthWicEEz56UCu6ysY2ZlsYtrwAcyrW2sbH1pqv1WviQtDayTZcZcNQNbz3TsntzaOe/7murg0m3/q1pFqmgZVNO6BgQhmWZ1uySnn5m+88CMBT2k7MbJG/cVtKJDaiz/bqNoPj0IUCrVcXZCCslflcD7bde/PVNeNH0G5qdIBEALZK8kVRUYHkfFTcT08dEY1plmRDo82BqoXb94mkM13TCZTV+FxGeOMigtS9rcwjdI6+85w4rp2jWWTiEbz+6mkMygDneMAyqZ0Vb4AYS/S9xfW7N7X1+XV0H9961GtEdsnm1ed/3cJty+QIsoE1pd77QIds41aoKiUR/jj6ewqgfvGLX1QVZYMJbyx73XW7ALh48b5NAIBskgL7JhbcGBzpHRy8rnVq50Qqbe+eDUI9aG6tlwR0Xbdu9UwYlMyowMTjjz8OAJiVezYbVXVf6w2QSflOPPvss5qPrjfJkT1P2DW4uLhYs7Ye0SoAp4a8OY5srK668SV13wf5twJ68rP9vQV2bxZioaNODl8qbceD5S3Yc+u9vsf4G6G1N2hrRltfW5JXfrpBA7PzZdOI+JxYabs6HLRl2go156i4jRf3r33ta33fb9kiFtrkMaO8XEKy/RRQrcBSHjRLxYpa5J+S6pszsvMnbQSCQdv5JRHsDBMU0GaTFkdDfTn5mv4HO6a3WJ2fnwfgBWhW28hFlArJm4zI4zdsE6x72i4UKyqL+YHXXAsAeKGaQ6XqqPPQTqWtCnoElbYhpcXthJS2C0WxsI42KLf0OsX6PyOa7MNK/pXiw7XhuF6gtB0KHQC4ZCyDtFFEFSbOyOYHJVgquDAU4l0a1qRueXm5bsMA2nzEjXLT2XtK/s8ueBYiFLRttDDVCarFWmmsoHuVkfVGs6TJDy+wiNPLrcohCzy7iYx5IpAk6ov7r6Vg1n040ExJPIdnj0CkciJomlhDmdNwJo7Pv+8WfO7X7g79/efvfykeeuBu9TnoKha9ZKwdbJHJjrDM+LIM5Ib5/a6FYEA91kKjLto4OzBRhamSg4cPH1ZKDV1tFZef05NHxMbCRlWp74Ob8Ct2znjHKMs9j52e9ZJFqyithqVSdwUROK537bbTk3w1XnHdXvV1zijWlLV7zcBcpKO22shVA/YIwRhZ3PKCcADgWOKazCaiPt/mrOUPnBiGgaRUxgR9DXVPw6ePeNU01Ekd8CpZtmbFZ/eRt95e972TSqtu0LZQku+t1teOqn6iTfgPXz7pfZ7B4MRq6Js2mveDm16C5hbL8NZjruldg7Qx0tXMwRJenaG8py5rxjZnLdBajcYVAy4yq8zF18iEw5ybQMG1sXmH8CyNNLCnapVpLbl6oQZtY1RdUKXxsPk1UCpqK+ugy6YHZDMxLfASuKY2ybL7omurz1qvatkiEwqnV2RwTo6lQ1n/fDuYjmHA8JIhabOsmkhVXBNLS0uIxcLvNUp2k7qyGcgn/phsQnnTFbUN7fq0ZFRUs1dqJ3qgmezpOgFZLa24EdV0Ocib3/xm3/c0vozlVxdybNFUyeP9WfRpFVhAbU8TgoJ/K9XwikwiJYUaNCZWq1VVUbZlJK8e96/uvAaP/7s78euvu168rhwPy66Fs454Hzmj0NDuRVebAp6gJai07QV0e4QwhCiI9rGrz21R5Z1uqeoySrTEtWvVC9rWeqpWKhVvHaHtezNy3Ud7z4kJfzJAVUfK86wniPQmlhnpOf3tx57G29/+diw4UXy+uB1Hq979o1tFuDLRabbQkLFZdo5maoLBZct/DetB27Z52srxa7FQwszMTMPHZjL+cYWulXr35FqgZs8ctF2d3htNmA1NXFODNuLSSy/1fX/zzTcD8BoLkVokLGhLWb2ya6pM+uPPvqB+P7siNlmz0gd1OiuOSVfmAcCCDNqGzalktUSLtFwqfKA6eeac7/tCoaAmkdgqG7mI4b0Pgjx9vcnLe7weFDstG7CYcHBwm1gALyOKI7Mr6jGZeHsCj4DfE1IvLaHj7M92JmhLwYJl2SE01iDoRRtU/dqruoYKxGZDFA/UJKLo2r5Ne7sUOoZhqM3Iq17/U3jggQfwzl96HwCxgAm7vilgXA6oqp588snQ16DNR5jfYD3omp/TgraLjpg4926p9WkNI6hGbuWc6dfyeItK24xciAe7Qx85ckR9TV2rdRo1sSOC72E0799EWL5EjIuBEDsK3dOWPr9ktj/0+Vtl23A6tEkZIBIc+nnVfWzbmcABgG1TYjFcCPG6U3YCISrktaCXpwJAsoVGXemYrewjirBQLot78tixY+q+1y1RKLj+3Glxf+gBBf25AGB6wBv76DyfnF1UCu8whb+OUJy6cGGgCNvbnLRZHd2Iy6e91xqIlmt+T0HDKKqyC3G40jbYYIvOI92rjgwe9mUSPqXtaLb2WklKZUxYtQ0F947OeuOXq8oZqypQ8sn7X43vf/iluHS8/hiTCHjFB1kpyqBtiFKXlCuJJkrJX3PT5errXIse07olBCW0v/nNb4Y+ln5vm9446xhec0SqEhjJeWualKZUC45R+nU4EhgP2w1tkGnzFkNl1cBrXyqKnPSkPOmkYMfFMTaqdGqVA5duUl9vdHuEelCgZMUhNXzzc4ZlGviNl+3GW68cxMxAChHLRBLeOBJMgpM/ewG2Wr8kTO/zOniZqCpadMiGp36j1aumvGsyF3VV4I+CTi95iV9ZR8EiqoSIN7AxC0JCDBprLp2sHaP1ZmnRFp67FWitlzaKHU0ibBpIwkYVFVg1ohfin/7pn3xNpYJ2Qo2gRmeAuI/1BBFQPxirGl/JMTtXp9KPeqLoY7vqJ7HTH7TS539a25ZdE6dccT1t629835PAhuZECrq1YjOyXpD4oNrAbkfN6U0IDei961WjlLTWEwxWSGNM32uidh2RT5FFh3g+ihUE/yYpPzN93zvS563NhmVXssNnFjE9PY1n3SEccXJ4ouKp9/W9rWGLx3fC03Ysl8Bn33MTPvOvr8eEKdS9LxzzVwX4grZtuobovnnhxKmaZEuQq6++2vc9HU+9e3ItUNC2iAhKlfYrmy8kem80YTY0zQZtAWBgYAAPljbjfxd3YGjY3ySKBoiwDFNEG/gXFhYAAP/nIa+R12JJlr7Kzp+XTYoN25wbQ9U18I3SNB6rDGNxWWTVIiHZUxr3yScnVUd1cG5hCZs2bVLfP/XUU16zlVUmuwg8xTAAfOYzn1GeOmGTlz75U9fsKKrIxiNIyfLSh54TQWQb1baVVACeusSBiYUVr5SVFkPJFhb4rUCbb2lphkSDrDWVv+rXHqkx6yl2yEOtCFt9bgacti606Bo6uyAUIYtSNVxvU+lrUgdDZUQpoB9EBW3NFoK28roitTkALMjF7BU76nfIDTtOohlfOEI/v62WD2a18kcdsiIAwj3YrCbKvIIBiy3jfhWwrrSNoxJ6j5GnrQtDjWN0zwTLRDuJXibWLrsPYkgqjIOeto5roIjOBG0B/z2TacFrQvibel2IiZMnT6rNif7Z07V9dF5cU0lt46E/F+BXpvdL5f6J+aLm59b4M7ctEwn5fMtuRB1fu32IG5FLRFTga+tg7QZYBW1lEEKpiihoK/8Pqu3V5lfeqyWZTBnMZRCPeGW+1+yubfCSlkGcMPsi2kidXa4dQyNacsYwjFWrJmjcKrg2nqgM4keVIZ+qbLlU8T1Oh44t6MUYhrCgEI9vNcmpjzM0plAZahBHBW0NFXijyqcl12vip8+HGT1oGwiSD2pVNNNakKUT0Od6Wlal5K1io4crxmwxt55w0nj0iacANFfW2yxXbp9UX7d7LO0VqAyZ7tV6Jef1+FfXb8GHX3dAfZ82vfk4eA/2y4Be0bWxIpMIGW2Y3CqVtotuFMVKFWX5mMEQq5mffokXXBjLxjEkrcwoUaQ3P7YsCw899JB4bTlPJa3mrxN/dYeLrUO197HuwdxKIr0VKBDWp6mMO4FtmarR3yknfMw6efIk/viP/xiACNrRfmY4JBEXRK8G6k9GMar5kQL1e2VQ+byaYzPhyST6ez04SfYIOybrV3jp8xa977tftLvu4wF9P+ev+GtXwK2d0Plz5DFms7VrDfocmxEa0FJMD8ZS0Dap3TO6p20Yyp9W2zsPyyoxqpicnBRjsSltkug+z8rxSh9r9ATK5TvEPmquLB5/tupVOIURkf1qOuFpCwC7RrPYM5FTn8Xx0/7KGbpmDbiq4nSt0Jx45MRp2LaNRSeCb5WmMO/U3qvXXXdd6PG0UlHZLH3JqNfkebG5Of9ipfdGE2ZD49kjeJdWsFMjcfrMWfykOoBjThbPnVny/Y4Cb2ETXlR16bRUc4EfP+9lepdlIxfazx3YNgoDLsqw8X/Lm/BEdRgPladwcl4qba3aATFm0v/iteo1DllYLvqsHh588EG16U6tUhZDNg+kCHj44YfVuaLzF9eewzYNpfA6SUFbuYnulxvuz3xTbORaadLTDMmopQbVH/7Yay5Hk3Qr/metQEpbWpwlG2yYKHBM187p06dVdpYUYkEooOLCUL5o7SyrBAAS5rxwQvigqaBtHRWGniCowMLYmFC+0rUehIK2qRaUhxQ0XdQC8LSYnRloTk0VTGTE63hGNnp9wCvBaxZSkJbrLPyGh4fVPaXTzOIrGJgJ+rLpgd9gkzL1c+1eqMBENBrFQkE8NtuB0qJ6jA95KqBmgkqtQGrfQsDTdkX5B7vIt9nLD/Arl/pCVFfN/G1RO+bZ2VlvDNM++4wsXz+1Iq6ZTMR/7cTkc1mo+tRfpBQ6XaAml05Ti1y6llbciOdJ3ubPbDVu35ZBBFW89bYra35H8zDNK5Q4rQZKQYPjM9kA0L1KHoSjstELve/Lt9cmij7y1ttx/bZB/OK9N9T8TjUELIcldVub++h+XUYU3yhvwjfLM3iy6qlvSGkbtGkAPOVKXxPK2VwiorqU92dbU6za2txFQVmykiLI8oNKgW3TUIE32WRdqeCSASsdPTgSj/rPqR5Y2TrpT663GyoZJX/aHYPNjZevvvFy+XcZfP3b3wPQ+nXQiJ0jGVhwkDaKHSl37wXSgTVuq2rwIH1aHCDota+S5a6FOUe8TlLzjyev/yU3ijOL4v4z4ISqnK/a3K8qMHZODWG4jpUZAPT19eFrX/saAK/5bCvjrG5vlDZKoYmcTNyrxGjFL7cVEjJBP5bovCptx4D4rE464WPWjTfeCNsW53BZSwo108xXVwn3pSI111y8Tqd6O5DIqycayUoFLs1Pej+Jqb769g20XqrAwhlpj3D9rsYevVSNSUFEZY/Qwrp4vaAtLwXi0unagDztQZtJ3nj7fu+9UqVROurdM7qnbRhKNatX4klfWtpXP/jggwDEOh/w9s95mTDXk2p6AoWU1fT5z8rK23rNr6IJ8bl3QmmrE1b1CHgB9Xa+PiUWTp2dBwA8VR3C49UR/LBSO6+bpn/8pONppxjMey3PDuuZI6dWefTFzYW5+mC6RjxE7fjd73439LElLehybLbg+x3ZI4QNENGQrN5c0Vu8BLtwj/WnVKOTZ6pCKeLCwPePiw1UmKoyqLStl21cKVWQTHqT/5kzZ9Qkkl2lLDaqSkpkCaPjqNKtsGCo3n3zVCBoO5EWj3/kiFAet3PDQq9NG/aHf+iV6XsBj84MJcGS1EyDBURKLgBd6TP86KOPqmshWmfxHLMtteBfcGTQts3njjYsJ8+JiZICePVK5yzT8FmAkG9zPcjTtq+Fsk265pdWijBNE0XXUmWzkyHN0cLQPUatOkHxeuiBrFZ9Egek8suxwq+Fu+66S91T1IVaHGMzSlv/ORzN+c+FHvgNNikjIpapEhwVmHjZy16G5ZJMrmQ707AvDL3UsJ1WKYBX+liC7etArPwJUW7pemgWXWk73KJPbyzEQ3xxcVGzR9CuSbkBowDZQCBATEHbtFHyBb8mRkSgfLYkFSNNKq3Stni+ZTeqrt12W1qsxm//zB146mOvwMFLagOoKmgr3zdtNKjpI23wgiXV1EyNAtHFKiltxWf3H3/qWrzlRTM4sKW2zPi67UP4Xz97AJsHa4MFpkyekH/yQNS7tyNN3Oc624bTmE45SKKEQVMkTX9QGVPX9cKymGsTIQEECtqODvTV/C6M337Ljbh5ax537muumoEwDM/Ht17zGKrE8NZOBrIUSHBIaSuu41SgKiMnlWoG3JrqJn0TPNjh5ng0vpI/8V0HGqvbiDuuFErt004S52RmoBkvxmYZSMfwD790Iz77K3e27Tl7jeB6NZ9Z21w1oQXFgkrbPjnnFxHBE1URfLlqs5coGcnGYcCFAxNPHhdr2ngdq4yYbWFbXAQ8brlsswr80Tjquq5qlhWLxbC4uCheW44d4wPNe8KmtHXugNacTsc0DTXux1vwXW+F//TOe/DSS/rxO+98ZUeeX+eNLxHq6XpK21tuuQUf+MAHAHgNWuNNBqupysqEg3TMrhEC1PPyDOph6gVGlZBDDgUrsFGFCQOu9F0OR1/bVmEiikroPKQTrACjwGQv2iPQIdFcottbEJ713eoJxmRIH4dCSANoCrbbMTE2kKXZc8895/t7Pfk7JddUtIb44Q9/CACqMTMpggdy4j7OBBIBxESfeB9LbhSVqqPsPlbcCE6ePFnznuJJ8fhOeNrqkFe+LqABOtMIjZS287LK2EwKhbXeD4B44YUXfNWLdD13ImgLiD0DAHz/x8915PkvFHpvNGE2NHE1eHuLqx/96Eehj9WVcj/WGooAjf2AyHagom2+9WyZCtpqm9+85Q0+tKl7dk78H+ZV90uvuRXTfXG87/UvBlCrKqTNWkmuBijTLN6XbARUxwfXex/y8SG3ISmYUoGNOwWejp4TC09aFN59/RUAvOxhrANeWvSczx/zMmGeIrhDStvABJFpoFSkjDD59z377LPKHiHWQHlMgb1Djth4222cJAFvMUeN8eaWxOvFGpRv0jVahoUzZ87UbaYBeIujYNfiRlCTkeVSBdFoVPl8xVFuSiEB+AOcrZ6ztdgjjPQLJU09pe3MzIxa4PVHvc89rMw6iKX5dQK1Jf66wiMfrz99qlI518TevXuxUhbfkwpoPdADtZk225dkE17jGd3XNtEnMvb1VMhrRW/uONmi5yslY0ixUSqVsLS8opSJeln4QKCx4kRgYx+XpfvBBlqj8tqkMvR6yaIg/Qmp9tSVtj3knWm4pByjxlvi50F7hGCDrSFp8aDsEagcU27k7to7ho/cu6fljQCpT6gCY/8mL2gabTFQEo9Y+OpvvByPf+yV+NqHX4UkSlh2o3hKJniLZfGeUyEJQ1Lez0yM1vwujNsuHcHH33FdXV/qRtB7duo0eaWNt2ctZSAvlWbSEl4p4foCL0+ekDaqNYExXaWvb4I7QTDPc8325s7r9EASGaMAByYOVcU9GG+h8qQZdo/nMD2wfkm39aY/EKQdyK3NnmX3Js8bP1iJFayuuXd7DB/8qdvU9xHLVJ7WP3hBeD42CgT+3b95Lb7w3htx3c4xrbRdjCmHDx9WQdvjx4+rv6F9wsxo841Qc1oAakuIjQxBx9qp22XPRA7/9a0HMT3YuSZkBAXTZ924z1qIlHhHjx7FRz7yEQDenivaZLJyZiCJN14zhV+58xLRfDKg9q5nLRBsClkvMEp/T/spqiZLGqWGc07MtvzrQHNpdW9tOYaWXAuO46p1RS/aI5AloKdArh0rW+lXQvtUfS9L18Kw1pCO1s/ZvFi7PfLIIwCAL37xi77X1MU5QU9bqjC56qqrEIvF1D5gRPbGyCUieNfNW/FLt27zBXDJxqqACH58YlF9PhVY+PQ/fa72PaXF+NcpewSC7NRonUFUVdC2jUpbef5XpIhkRd6ms07tvvorX/mKz5JPrSs6dD2TCOaJ52sTCIxH740mzIZGdSuGqXzhyKdVRzSA8Sbo7z91yPf7RvYItADUgzYrWslrGRbKVcfzuolHlBK131jG/Xdul8coPVpCglQHtw3jq7/2Ytx6iVh4BpW2OVsEJWiSue02b8FJG9TVOrarLvMh/pthkxfgTSCHTopSyKQMYO/fNu57XMxs/0RDC7HZZc3TtsP2CMGAer5ByR6VeNLkcurUKTXRNypTe+PVwiPp2apYSETa6IUHeIu5OXnejpwSNgnxBqfMVk3qLDiOg7vuuqvuYylou2vzZN3HBEnIIN5KqQzbtrEgF7MZM1w9EoauCG7VPzCfjMKAixgqLQf8yfes4Bi49tpra34vVK3iGhhNec8dLKmrh90oaKsNR6O5+ps2vUsuAFAhwHD/+gdtDbg+m5V2YBiG8mHVE2aHz4hkUsrsTNBW9xScGWt+sw1oTbHk+Pz4448rr2zAb48wFAiu75j2B48oWdYfWOvmAsGIZpVW47JhxpIbVfPieittG0HKVjr/tElWDa4oaBvwIBwfFMFUmovp3K/mM7vq8QQ2Mjfv9pSra5n74hELP32NmPNJbVuRG9pUPMT3bdsgooaDa3c217xxLaigbR2l7enTIvFdVZsrC31yw03JVbIACnZ2pyReWPJNT/6ENYJqJ3piLYIqNjdp1QMAOzLiZj7qyKBtDwZLepnhvmATqLVZ+ezdKsrJ7ZAqnKhtos8qwoKDX79tEv/pZ26reQwl07/1lNjEJ+tUtgAigbx9JCO/JuGI+P/RRx/FyoqoqtMtpijZ2Irlhx7Yvu6yWh9ugtabrVo/9SJDmZisVDRwSrNISCTEWP/f//t/Vz/zmk81JxoxDAMffdVleNfN4lzWKG3rBmMDQds66xuvz4VUM8pqunQTSWW96emVM6sniGm/V4aJUtUbR3tRaUuWgNU6CUDAmzNIwdoIsv3SbRHpWpjSkuv0MeUGxNrt2WefBeAlHF3ZqDSrjT1kX0LJbAowp9NpzMzMqDWF7r3+q3fuwvtu3+k/xoStPtN//oE/3vDkc0dr3lMyLd53M2KPtZCO+y2MCJrn2xk0JsEb7UeWytScN1JjdfbCCy/g0CHvPDkdVtr2SRHM8dnO+nRvdHpvNGE2NHqZCgUsKpXagNmXvvQlX5nqcyfn1NeGYTTM6lAzH9Wl03FqfGlml8s+xdLvv+sevPvF2/DZ+1+Ouy6v3zW0HsHH5CN+Q/UDB7wGDLRBHQmY6te8D83sPpjFpfcW9HgiZc+xc8vyOcRrbR1O+TqaU1OJdkLKlZWK99xhfpDtJBi07W+wgMimSFUkjq9QKCilbSPVzbtfdjXiWqfjRgrY82FYBmQWZWO842fEtZ5sYCkRVUpb8Zh9+/bVPGZ8XATqqRnUpvGhmsfUIxWXnnJlB6ZpYkEa0Q/EWlsgkKK0VaVtfyqK//aWq/BnP1/rV7kaaanMLTlGTWdo0zSVZ7ABFzND3vXSdNCWmi2hWtN0Rt8bbBmr35THVr7bpjzWcCViJxnLJUQDPrPUVo9mgtREtNgbGBhQ5dej2c5498a0+5iafjULlbaSWuiJJ55Q45cBxzfXBAMYwYZ0O8ZFMHL/Vn8wNxhoTTap9ts+JUqE57UO3e22tFgL//pVN2PnSAq/9kaRnFQBMYsaXYnv+wKqHFIs01xP98NamzkFNzJXa0rbRBPdrhvxnpdfjQTKWHJjeKY6oOb4sK7J/+lfvRiP//u7sSWkIVG7CQvakp0SIPyZxe+ll2LEUuefrnNS2u6Q1xsRk4mzsORbLhGBjSrsgH9zJ9A/10FrpSWLlbffdRCAt+5Mdciy6UJlctg/nzXTgKgRW+Tcm6iTMP/qb7wc3/r12/Gzt9WubQAgIxN/P3hhFgCQjTZ3LVBCiMaa5557LlRJSEGlwRYsi/R54Yot9VXg1LhysoXqp15mPCoEB3rQlgLhAJRFHO25Euepck81qbQNJmTq2SMopS38StvBxOrXkm5f9qqbrlj18WNDXoKyWNGDtr3naUu2E06DEBDNGYNNNEQlMY3PHkEmRTZPeEkRWj/HEmJeUj7sch5zpLVdn9ZYjioVw5oLm6ap7vNgVWoQwzCQlomgT3/7Kd/vVtwI5ufnfT8jT9uQljdtJSXV+5WaoK14X+20ZyDbCWpMWqh6b24uoLYtFos4ceKE+p7WQZ1KQswM5wEA8+UOn/ANDq9qmLai39DVBpfXs88+61PKnlmpqk1HLBb3SktCsjpUWkmZ9G9/+9s1HSCPzxXUc2TjEQxn43jvS3ZiNBfHeD6BjOF56CZiq29EhFLNay6Tk38S1uyANqjBTqhBclqTlmjUfwxqExzoikoKvjNLYkGbl910Y7aFrPaeWums3iwpGQimhZnjGuocd0xpG+xkna8ftO2nAIE2+dHCPNvgfCSiFl57mZYNbnPQdmxQPPdKRXbGnhNqxEYl6xHTa7YHeN5POnfccQcAYKGJxgpByEqiWHFQqVTUYnZTi8EHL8DZ+jm7Y/cortncWok7ANX1nO6zffv2YdmN4LSTxJVXXuk1ekMVW0MWjKtB7yURaNYD+Mvygk3Kwp6j0uZgVSsMZWL423deh3943x0def641jwLAM6ePatsAbZP1A9orwW9oU2rthpBz7kjR46ocTbogxrcAAxl/Ava/+dn7sBf/OwBfOB1N/p+Hgy0NjsO75oRSk1aOFuodkzRcD7snezDP7/3Zrz4Ull5Iq9jwxbjhtrgBcZnOh9ki6A6068xIK1vZCw42DqUhiVVNGsNNsUjFl61W2xUf1wZVOsYshAIsl6NqcKCtrr1FG06ST0Vi1iap6MM2kLMFZcGxq6tQymYcLEpX3tPxWwLn/rFm/CpX7yp4wEI/VTuGm7NP/emS0aVZQsAZFbpKcD4CVrCtNJYNIxtw2n8v6/fh4//ws2hv8/EIxhsYBMykhbX4mJVelammkt4BpW2FBgKQsnGVhIR45pqcNtQ/bXo77/z5XjLi2bwK6+/tenn7mVeIj2j9aAtBdoSiQRSKfFztd4+z/G9WU/bROBx9QJJMRW09Xt6zzRhK6GvCa6YXt2znHoIlGGhWPECvmGNrrsNKZXrNQQDvPunUR8RQiUHXUspsOlaGMp64zitn5cKIgmgJx0BQFbtY0BbR9A6rwRLKaUB4MMf/jCeeOIJb03RxNpaWeEtBxvoRvD000/7fkbzaKeF0mkpoNHjJY7jqNdvpz1CX4aETX4BAyDsT4KcPXvWO6YOK213b50C4CWWmXB6Z1fAXBCYmidkpY7nJCAGpZKmtF2o2vjJT34CAEhlvMxeJGTEJPVpVZZmfvvb366R9j9/VvjeGHBDN3HbspoqNb76os0wDDWJJ4yyUpbqA+3QkFA60gY1s0pQQQ2gsFAu+8t1aMIMKktJLThXEv8P5bxFVL/pBW1zHVD0UQCCvIqqhvfeO+VpGwsEbdMNPivyu6043kKEJiVSu9bjV191UNk/WG57O/6O9IvrmbKas0tiwZJvsGGhEt+qzDw//PDDNY/58z//cxRdC0WZsGjFby+TlA2Cqg5KpZKyR7hy56amnwPQlLYdLiHS8ZQ04rO999578aXiNvxj8RLsOXATFgvi84saVWzWFJKRJlVb3n1eex3oC5axvvqlu7GAf2pYg4X1YP9MHzat0kDjfElZ0tNWjr2u66pN0eU7NnXkNfVxLd9iUMbzRhOfid6ELJh0CG4egzYZ8YiFa7cN1ixgs4Fgb3+T3qUjsuEdJR+jDTy4e4GUTHRS00cV2AyoUVNagqWqJfnSTfpm10NXZMYN0fQuK5uNrjVoCwD3vVyoNk+7KXV9hylt1xMKVOvqqIceekh9TU1DaHOViEY8C6aA0nY8MHZN9iXxnd+4HZ/6lZeFvvbeyRz2Tnbe2kWPb9z1oj0t/W0mHsGw6XXgXq2nAOMnGGiLt+E+euUVk9jfRGl5GFcE1iLNNgyj4E0VJhzX8FkiEK7rdbfvayFoOyKVtgmUkGvQQHXvZA4fuXdPx5Xp68XtVwpLuVNOGkHRcrlcxtycqB6juXXgPBsWBj1t6wVjEwHBw6pKW7kno3XuFTtWbwRJHvhZo9CUzQWJiUquhaJUjlhwOlLltFZoX9UwaCvPWTPzKdlJlWFi//79ALygbZ927ujzXNAs9nTIIkC3ZBhIRTFmLwEw8PXyjLr+6LwWW0i+5CLiM6U5lGIVK24E3/ve93yPXZaNwTodc08n5L5Vm9fPnDnTkUZkk6PD8rWox4D32c6FBG0XFhbU19UOe9pumxB7NQ7aNoaDtkzb8fwcw8v4iLI2YCy5URw+/AIAID/gBVrCMq00oNOkMjs7q9Re1LX1+TPCPiAa0lgDAF59w2Xq63SD5lY65IeTMCpKwaIHpt/4xjeK90UZylUCNKRKKrtmzfmhAbwv0ByCNqvLVfH7MU3Nu3XQWygN5tofqOlL+w3hE2naxLkdK5kI+g03smGgY9Cb4NHCfGKwcaY8E4/gphGx6Z3pa+9mzyvvkSVaMqg42KArK5X4WjHxmCeeeKLmMXqwNYFySypOUo2Vq8LnjRqR7Z5p3t8N8Ba20Q54KNcj2GgEAObdGAADz5xeUkpbG1Wfkifog1YPKhFOhvie6df5cKZ+QI4akND1p0q4OmQj0g3yslFWQatyUEqWoc6Uherlqa0qbT3POe8zID/xYFl4cKPSSBGmE1TajvQ1F2gIXkvRDjSSbCcZVSUim4JSQ8rAeUtrCRb9fg2WwbaK7jMXl3N+Tlaa2G1Iuo3nE8gZK3Bh4IwrxuB4ZH0TLkHCGpGFVWCo6pdYFIkozYkmXNfbEIV1Tu9PRddNNVwPW0usXb21tbkIAA5Me+POQBMNdBiPoPp9rUrbtbJ/12bf9816z+pWZmFNfgFxP9B90tcg+Bpkz0QOMdPFwekLtyFdGJeMZWHBQRG2XGt5VCoVlTCi9c7wKv086hG1TJ9avl6AKCjeWM3TlgJgtM7dNT0c+nidiNzvDZmLqz4W8Ob+MizlaWu1MeDWTsgOx5Hz9sTEhGrWR9C900zQVrdHuOmmm3xJkbx2f9HrktI2SFkFir172DAM/Nm/vhMWHBxxcnim2g/DMOC6LiqugZJ8nWBiPYypfv91OZ2kvgy28tUlluUx2i1Y9JwPWRKhafP66dOnPU/bNgpipkaFsIzWa7pwbtapTbQUi97nRONlp5Tjw7KaLWh1yfjZMEHb3/zN38S1116LZDKJfD7f7cNhGkATFTUpAfxBJypX0hdUFVh4/rhoWDY04jX1CAvaDvdTR2ryizRU5mjAFoPMj48KWX+97t237plSXwebp9SDNvYZ21Hm4Xp2rK/P33RltRJQsk/QgwgEZYaDyryI6e+aPTXqlSHfe/M16uuxVawZzgdaiNFAPzRKjSY6l02OR/0DeCMbhrhq7KYFbWWAebqJpkV//J7X4NP3XYc/fM+rz+dQ65JRnVVlh3iZhR9rEEimoIYZE5sD6pjqul5negDKizZrhi+C6pGXthtlF3AcVy1mJ/taU0hQsLbNfa4a4ilpLFSqDqqOqxZuPz58EgtKaev4urQ3m1ig5EwmZO2gK8obLRI9VTo1ahLfr7fStpNslmPPilLaao2OQoJC7WBmjDZbbsuerzTellx93qmjtNU+p2gLzfLiEcunjJgaaU5lFryWel1pS3Mmefcpb/PAedI3sjQvWqiuOTio7xuSUvH9b95wM/aMpfH+N96+pucmdg80p/paL8LsEcL6BXhB24jXiMc1UYAtf+c2TDh1E9qgRlHBTH/rgbGffZnXmHJkHZs+XggE/bg71aegWSYDn/8mba3biKhtqjFYX5/H496cROp5C05L1l6TfUk8+u9eiv//uzpjOdSrRG0TfYbwsJ11668RSbk32eS8F0SvaKTXDSMotKk3NuuetmLtTOvc1ceWvFRl7p9sLvGq5jqf0nb9xAytkJD7KhJWve51r6sJ2lJgr5lxgB5TcS3Yto0KTFV9oyvZKRi7XPQEET/84Q9rXjMYKN42ksXr94h9/7fL01h2xO8pwGfBWVUkBQDXXXmp+tqCg0ulBc+KG6kRTq0URSKi0/YWubTYi1UDStuqUgO37xoalmvgCkxUqo6vGXyY0pa8wF1XU9p2KLE7nBVrkgIiqFR7M9nRC2yYoG2pVMJrX/tavPOd7+z2oTCrQMFNvXz+kUceUV9/8YtfBOCpnIij58SiYHR8EoAoCwhrRJGXKsGSLIP3Bu4q+uRe5JkTolyn3uZX97Wl8oTVoMXEQCqiuluGlZeoDtmrlID2S6UlDZx64JMWm8FgQXBt0q81Kts77S2Upppc4LbChPTzooXZ9Bbhc3U+fqbNEgv4DTejtK3C9BojyGMdH1h9A2cYBvZN5dvu20dBRjoW6ljfKGhLGyjH8r//Ryuj+OvCPjxX7cOrX/1qpXoYTrY2lFMjsopjyAWWDMS3uJknG4f1VNrqAbWlYhULBW8B+PizR3FqVpT0xC0XA2nv/DUbeKPxayBVe//GVZf12iZlOgNSlV50LZSrjtYc58JR2u7ZLho6UiO88S075ft0Q5V87WByRCRfoiEdyVdjfEiMX2XUKrGCPtb65xSvk/irhz7nzIyuniwChCKIqkSA3lfa9sm5qyh9uusFbXOJCAy4cGGozX7QP/h80PcNGdmg6PbLpvCZd9+E3RPtCda9+barfN93qiywWcKCtmE4ct2VSsS9zTRMpbJNoNJTfsk+HHHdD5jLLd/fALBnPIeYbCo63MScz3gE57P4emZiQxjP+4ODgy2sTWhNqlfz2bb3/kgFGEOlZcFBt8eBbkECmEa2d3Rep0eam/fCiBi6H2z4awVteOqt2cmGpwoTZ9yk2muN51dfn/zlB96I//m2q/DRn39lU8edjpH3qqk8ba0298doF2QvQXNJNpuFaXrnOhaLqTVrM0kNWpPTOoDECiYc31qKKlRXShWk00IE9IUvfEE8Ryrl7XtD1skffuMN6DOWUYSNZ6t9+I3f+A219w/rPxHGjgnvuswZBWyfFCKAMHXnSknMI52eK/OymlYP2p47d05T2rbvtTKqH5CpxC3Eohv1CZ50xMqjs/YIA6mYWiueWSp15DUuBDbM7PPhD38Y733ve7F3795uHwqzCpQZKmveoi+88IL6+sc//rH4fUBhenpFTHDZPrG5rmfAnSblolw8kNIrYVSUr82RWaE8jJn1J833vXQfZvIR3LCzfhdYHWq6NN6f8Xx1NWuD+fl54aElb6vVlGCkpqT3oU+a9TbB0cBGJpvwXmOqL6lUgn0tdlZvhinZXZgWZiMTIrjeyYXJ+Shtq66J4WExGdOxtlpK3U6ymtrMdV0UHfHZ5hs01qBF6VLRP7E+UxX3xglrGGfPnsWCzI5SN/tmoXKyKgy1wGpVdQLoStv1C9pGbVOp+ReKZcyteEHbw6fncey0UPLHLQOZmK1UN4loc9fAL7/mZmwZSOBX3lCr2KNF52qLxLF+oc4owMZy0duEJNfo5dlLTA3lAXiqpeTgOABh1dGphW5W+qPFWgykAp7HuE9pK78OJh10RXTSbDFoq206+5psngOIa4qIreP9dD6QRVGxKoO2dVQ58YiFAVNYFR2q5gH4N+Xni+50MtCkdUWr3LBrFIa2Bum60tbwgrbZbH37EdrspRIxNZ5XYSoVfMLo3Q0R3YeTyfNbU5imgdunLfRZJVw109qceLETXK92qrlss6RjtuozADTfiAzwxhi9mm95eVl9TXNWqwm5ixnptBLafJmgfhetzHtB7CaUtvlAg+Z6j8slI5iKCHuDb5SEj20CpaaEGZl4BLfsGoHVZPKIKitdmJiXAbFetUdIyUrRYPMrYmRkRLNHWH3NqrzT5TrASoj1QTApktIaIE9MiEpNaqB54MCBhj66EcvEniGxhksNTsE0TSxLa64wK7MwJrREUJ9VwPZpsfcPNjIHgEJxfYK2yVhtIzKKJQDttUdISIunimthXopdbFSlYMAIVdsCfh/9Tp0PyzQQlwnXk/OtVY5eTGyYoO35UCwWMT8/7/vHdB5SqulZm5WVFfU1lfSVAxnbBUcOKHLuqDfheVk9qVwEBVIqqoT/nNyXJBrMN2+/YRsevP92TA82578Uk4PntolB9Em/tApMzM7OAgCefvrpgG/fakFbL5gHwNcwod4mOFiqoTe+MU0DU9FlGHCxfbi5kp5WyKc8o33AU1l1UmlLiwuikdI2rgKRJrZs2QLAW0Q200igU3iLOQPLpaqyl2hkn0GexHrQdtm1MeuKrOzRgo1Tp04ppe2L9mxt6Zho0VpxDRRIdWK0rjqJy+hJdJ1nEkpOLBWrmF32FmxnVqo4dU6M86moCcMwlOdls9YEL79iCl9+/63YM1Vb4kcLrMQqi8TpMWpKaGOpJF7fhHNBqXRIxUwL3u8/dQiA16G3E1wxncf2oQTeduOulv9WT54QNIcEh5WkFrDItpjv0YO2rSSLUpZ3r59n8+11g+wRaI5vpMrZPyHmysNVoXyMtMH6QfeZowRJu8nEIxi2vMZW3b53KRlehYEdO3bUfRxtsDKphC9oS6XBqSY3uN3gd995D15z+Qj+878+f4ui//yul+Ph33wlJvs704DxQiWm2QoAnWsu2wppbS7pTze/hiM1v17NpwelKFF9Psm/ixVaX1dC7NwI6nexFpGEXvVSrxS7T+sHYcJpGFj92FtuBgCcdsU8lDE7sz4RawYxRp9eKMhj683kKwVPKTCo+xIDwMzmLXARvgcNI6lVdADAjr1XAPAa8hJpLWgbFOBdd911XsPeOv7x2yfFuvrorEjAkEI2E2nuPI9k46DPaPNAUn6PmkbmAFAoy34dHZ73SUCjx0sWFxdVFW87lbb0OZU1pW0UVeRkE/M5Jzxoq1cUd/J8UPD92OzSKo+8eLlwdpAhfPSjH0Uul1P/pqamVv8jZs3YanPR+PLyNs/i8bSpIJ+8ehNeMKunBm7bwYyyBZBqkzaWeP2Ht92Gu/eO4adu3I1+LWh7+PBhAMChQ4c03z5n1YyU16Sl9nH1Jq+g2icbWBx9/oHX4aFffwmmzsMPbjUoQExBxxU5qXUyaBsP2CPUm8wBLRAJA5dddhlcF8rrtJtK20TEUoqtxWLF8zxuEEQcln58KxXvHjhW9dRVc24cJ87MKk/bHWMtKm01KwnawMTR+gbm/jfdgd1jGfzqT7XHR7JZKDC2GFDaLlYsnF0QCSJSVsblQiCYADgf6DkzduNrfmpYfB4F2FiUGe12lIX3EtSca8W1UXUNvHBWLLQyVuc2wtl4BF/45Vvxy3ftbvlvVfmitpFXDbQC46ppGioxMNhCsAAAYtqmM99Ck5u+uHcM2R73PtbnYNf1NvJhgZ6fkjYDKxDnsR1WKnrystkGRefDtVs8m6GuB21JaesaOHjwoPo5dW4npPgZqXjMt+F+qiJKQ0dSvdfNnNg2nMHvvOGqjtmrMPURfqJekKXbynIASMsAm9mkZyVBwpF6jcgoUR03e9uGppcI7rvCoL3BWtbb0SaCtlTxBKzu+XndjhGM214QqL9DQ4tpevfPC6fFmNxOlWQ7ySRlpai8P85Xk0VbAABSvElEQVScOePzR+8b8qpPm2lERmrcMky4rov+MaFqDiZFqAFyqerikksu8f3OMAzNHiH8c98nLbnOSSEm7f0HmlxnRW0TSanmfPmNV2lr2Nq/L0mLi1iHG5BSw0c9XrK4uKiSr+0chvXg+rzcN0WNKoZi4r3O1fGr1i2ZOtmYjYK233386Y69xkanq7Py/fffD8MwGv4L65reLB/4wAcwNzen/lFwjekstkklk7U39+Ki14mTglfDCXEZUtC2TJ0360x4qUD3eBpw+5I2ZqTCjci1UWF5w/Yh/MGbrsRAOoYEeSW5Jk6cOAEAOHHihDomuwk1kTeA+idFsQkOn7yCWc9soHlExDKb7nTeKrQQoyBfoSSDth1cmMQCpTn1JnNAL/m3kM1mxQJCTjatBE/ajb4ZWiiUVbKikX3GiDSML1S9e+iY4wVtXRh46mwFyzIQMjPQWpA+rimwKMucsFrfwFyzeQD/9O4bcWDL+XuYnQ8UAF0sVnFuqaB+vuRGML8iNnp90sKESiDjbbAm+Pm7rsZbD87g93/h7oaP65flgUXXVh67do/7lLbKWC6OKCpwYeKcm8BCVXaOTvdm99eMz6ZE/MyzoakdV+gamxysX4oeRkKr3W9F4T+a8+7h/kxrDQHXG9X0EaZPhRGmyrlm84BfwdeWoK33ec10wL+d+Klbr1Bft9vrvFVor+TAQH+/VwXw7W9/2/c46kIdi1i+wNtpNwULDn7vvuY8GpmLD0qGWqh2rLlsK+QiYtyIt+g9GzVqlbaAZ0FGa9h0pPvvcaNAe5569ghV12sIvZagrXSNq9vTBBBjG9GMBcF/eNP16utmmpCdL6QSPiKDtp3cG62FmFr/i/N75swZ3+/PyDWr0YT4CPDmfRcmSlUHzx4Re+JM4P5SDZAdvx0gQGIt8fh6lgzUnJCaMdPev5U12psObsKmrImbLx1XPtkVWDXiKS9o29l5P6ZViBLFYlEFStsZJPXWZwZOSjV41Kjiqu3C6nC2jj0CNUa3Oth0HADSUgzzxPPHOvYaG52uBm1/+Zd/GT/60Y8a/qMy5/MhFoshm836/jGdh/a/YUrbL3/5y+prCnBeOik2IBS0LVWo82b4ZKwHO13X87Qd60tjMOMfdPoznZmg9U3r6dOnAQjFCwXkgo1twiClZRWmKlMR3xugyStYbhrXsn4mnHVtFkELsQosOC4wtyQUjZ30M7W1id2A27Bzpb6pLlUdVaplwel6qR9ths4sljzP41j9hW1W+W8aSKfTcF3gqCN9ouRzPb4oFhxRVFq2f1BKW80eYSNtYGhTtrBSwqHj3oKziAjmZKe3wZxQw1+/cwwGXNywZ9OaX3cgHcOH79mD3eONm9zQ51F0Lbxw/BSAC09paxgGRiJiDDjlpNT4femmsW4eVl3IjsTRAo00B6VC7kUKsu+cGW/pdVIysWQEmnCsxpZxL/ExMdK5QGQ70K1ofB3aQ2QhiaiFUcvzk0y0YZzRVa+d8rQFgCum+5BAGSYc9HfRYgfwfHwdGKqrMwA89thjvsepLs+2sIextATyLZOWz9ePYXRojupk9VQrbB4W82y8RUsPCvwFlbZ9faIChoK2/anu3tMbiZQUiNRT2ha1ysnV+nk0giy3GlkLxLW1fjM9NW7aNYYRSwiGrtjcucoMakJ67Kx4rV4N2o7LfgR0HwSDtsdOie+bXbPqaty5xQIOnTgLAMjGA41JpdK2EvK0yyVvnqrnpz2ak70+3Agcx1VB250zza85P3jPFfjKv7kLuUQEqailBFa62tYwDBWH6LTSVt+LUdVMpVJRydd2Bm31YPhzJ2cBiIbNN1wu7Jbq2SNQALnTdh+DKfEZnFxgT9t6dLUGb2hoCENDQ6s/kNlQRC2/zx1x8uRJ3waDlLaXTOTxlafOeEHbamN7hKTK6hmowlCD7daJoZoM70iH/O4oY1WFqQbaQqGAivRNakZpq3velmEiJv9GP2/BYKNYOEmvnXVWQ+gLsRJsnJkT2dhO+pnqE5a9SpZPD2AXyo5aREbPo+y/3ZDS9ticpwpt5GmbonIj10I0GsWCG8OSG4MJBzdPx/DPz1fwXCUPAMgarU9wMa0khxZufV1UI7dK1HIBBzg1u4Ajp875fne6JN7b2KDYoP3WW2/Bh4qVhnYU7YbOZQk2jsvGaM0kcjYaV0z34fAzFV/Q9opdm7t8VOGko/p4a8FGRSmxqKuuTsyoYsEFto63FkDNJaPAAhBrcXzevWUCeEhslrZM9mbgm6D5r+KaahNvwoFdJ6l2/Y4h/PWPRIC/mXLL1dCDtp0MvNiWic/9ykuwUKgg1+XxkU6tA9PXn4EqyQja7JFCyoaDKixEUMFvv/2u9TtgZsMRNaqA2ztl3S+9dh/+4dAPMRRvbe6M2wZQ8vYYRCIhgj6UqJ6UwStmdTKJGIBSXaUtiSSiqNZVyDYDBewaKWj1tf5q9giACMJ99gP34itPnsI9l7eWhG0FWuefXiwCsNpa2t5OxmTwc1nunakvC3Hs1FkA2aaTNxFL+GE7MHH89FmcmF0CEMVg1p8gpGq3YBWuYRjKbs9q4FE8nInBgAsXJk4vFb29//j5xZEMw0DcqGDRtbDi2shC7KVs20ZFxiESDcQ17UCvejx69ChyuRxc11WB0mAfm7VgmQYsOKjCxLPHRGA9aRvYPiLiJPNuHK4LBJetVRW07eweZt/Ozfg/3zyNIjiZVo8eHVJqOXToEB555BEcOnQI1WoVjzzyCB555BFfuT3TG8TkIFNxTd+m9Tvf+Y7P7JxUqTtGRKBz2Y3CcTWlbZ2Fo54tqsBSjci2T42iL7CBmxrpTNl23PaUtnQNuq6r3lO0iQBNxDLVwkRfXNKiyAwpTdF9OdvRhbsVbMtUi5KSa+HcvPCJitmdCxzblj9o2wihwhXXTLFS1ZpNdL8snXwuyUDfRrVh84SU5ndcKpVwVFojDJlLeOX1wsC/KK/7/mjrQWm9JIfsEUbyG6dxC5WgHz89i5Oz/jlgtirGgJF+Tw27ngFbACrA48LA4TMyuXEBBm1fce1lAIDTTkqVrPVqAyDdc458bWmszaVr1Yf/6e234udu3ILrtrU2h5AtR6tNbnR7hIFs50o424E+/1GSsdH4/PqbPZuBbEiAvFVitnc/D3RYLbdpMIW9k42V9esBJTAdGDh+/LhvbaVbf3mbPfG5ULLo1Zdma9ZHDKNDFUG9orS9Y980/vIdL8Jfv7+1xnTBxkgEJTtozbNtqreTY71ELuX3QQ1CTX/X2twtIxW9jYKx8RbtEQBRkfHq/ZN1E4vtIGaKY5ldEedgHQshW2I4K/aRBUTguKhp0n5uQezt7BbWrDRmnDo3j9llsc8fH/DPm/GAL/IZJ4GHypNI5QewIhv2Nvo8I5aJhPSkPXJuWQWd6f2cD+SjSg11AZHcKTvi+kvEOjtn6v1FyGoR8BqKNqouPR/oczpyTnzG2biNIWkTEayc8o5FNkXrsNJ2x6YJAMBydf3EaBuN3u52ofGhD30If/Inf6K+v+IKsQn4l3/5F9x8881dOiomDD1zlEwmsbQkBoenn/abS1Pp0qaBlMrSFYyYZo8QPkDo2aKyayp7hJFcokYtONzXGaWtKg91TRSLntKRJqNmm63YqIr3oQ2U9BxhC+dMMg5ABP66EYyMGqKRVhEW5haFciqsJLZd6EHr1TxBRSmoUBUVy45qQtYLHYJjUhn67AmhiFqtg7pqUgcLS0tLOFYdBgBcNZnCvml/07GtI60HFGih4GpK9ekeL8nWSUUtYEUobc8tFgF4QTfVPb2Lzeditii7qsDCkXMrANKqZPNC4ooZYW0z5yZUs73xXO+WX0eMKsquhezAMHDusFqg9mVqA83Xbx/E9dtbT/oN59MAzrU8Pg9nvdK0YIPJXkOvNKFEZaNAz77JHCKoogwL2cTa7QxiUQvSKKDG1/1CRQVtXQMnT57EyMgIjh8/DgA4dszzgKOgCqmRH3j1VfjqYy/ggTccWOcjZjYaUdMBqr0TtDUMAwe3tr4uocCf1+xYsLzs7zq/c2YUTHPkM0kAc3XtEWi9HV1lbbsa2WQMQBVmA7W37tXdK6pwQK7zq8BiRVrUdDBAvBYGUqRYNVBARO3RiUXZF6KVccA2HJRc4PTsPBZK4jPZMjHse4wXoBTn55HyOA45fbgqH8FKyVHP04iUWcayE8Vjzx7DirzmKOh4PqRtFydLQEGzR0ilUqjI4pVkvLNBWz1ecurUafVzCpRG22ztZxtC0HRqsQzAQj4dRyJiqZhKwbURMUr+PzLFeW50T7YDsrdccS7AzVKb6M0RJYSPf/zjcF235h8HbHsPz7DewPCwN2ifO+cvYyZ1aSYeUdmuaiyLojQAbzQZk/1ABaZagA2mY2rwITq1ofM8bQ1Uq94ihRaJzQZoIqrLba3SNmzCzGqKMMrqridRpVSzsbAiSv0TbWjwVA/dHqGZjLotA0eFclVl/te6iGwHSenjeOi0yGhHVwnokHVCBRaqjquakL3trmsxmo0jDs/j7dq921s+Ht3/d1mWtW+b6pzXV7uhTdnsUgELxfBzuRZftXZAyYLTK7KZSgcV6d1iIB1DxhDjgAsDBpw1LaA7DY0FO3bvA+AlyAb72ud3v3NKzHmtdqke1s5bt6/d1aD5z4Wh5vFG3oK2ZWLMEorzdtgZxCPi/o+jsqZS3I0ExSkcGDhz5gwuu+wy9btTp06pr8kfnwIGr71qGv/5rdeGNoljGJ2ErGxqxie0l8kmxeCrBxiTySQqFTEn055huIfnql5jMC/myHr2CJ7Sdm3r7T7Zh6SxPYI3lvWSb2xSDtLLjgxgt7G0vZ1YpqEUq8tubdB2pdxcAFWHhCjn5pew4ojzMFZHaUuJRaqSPVcElqXSdrVAcS4qPu//+9hzcOXzDKTO/z7uT4rPSve0zeVyqEilbSrR4kKuRfQExJlzs+prCmy3uwEqnd/Zonh/Q7kUDMNATNoIFkO0nKYt1mzNqtrPF1obUpUsU8uGCdoyG4ek9ICpuiY2bw73N3RdL1CZjtlIy8xOJZrBgmxw1UjAScHOFTeiOpYOpqO+wQcAsonO3Pze5ON1IgegOlA2qz6liU5fXFYabILzmiIs2YUgUNIk03YbSwUx6ac6qHTy2SM0sTijSaVYcTR7hO4rbUk5S562q5XK6+X859wEirBhwcHl030wDAPDEc8b95Kp1tWAuicklbUPhJSI9yp5eazzy0UsV8R1kbH95zTdYS+q1SCP6rmKuJ9T62zRsF5MJrxNWtIoN7T96DaULOkfEWVYNHcMZNNte417rt6C33vD5fj4u+9p6e9SMRtJlGDAxUi2sxuFtaJ7Ci7KpM9q1QN/8t578d7btuM9r7q+4eOaISHVL7EWGxRtZKjqxIFoWLJ//371O92TMGiPwDDNQk0Ue0Vpe770S3sZXQyxbds2AMJPs6QUer09zvYSZCFU19NWntOEvbYg6lBeVEc2bETWo0HbrGxWSUHJWJcbIDciadYP2krRa2tKW/nYuaWCCuAHK1+9plvif3rcsbMLytN2tX4wY9IK4UcnZMUpyr79TKuMy743K66N004SXy1tAuJZVOVlle540Na7RmYXvYatlHxt9zVEn9OC3JeMD4nKTdonhwVMIzFxDjrdiIyavRZhw3F6577uJXhVx7SddMLzR9m9e3foY6ow4MrNRSpmIWOJAWO+YmN+Sfp+Ntj7q2yRKwYTC44KdOlBus4pbb1bhzJigBcESDcptQ1T2pK3Tixk8sqmPK/DdCc7gNVhICFec8mNqsxopg3lrvWwTe89NuMJSoHuQrmqMoZ9a8jCtotcUhzDmWXxma6mko7Zpio3P+GIRUXeXFEb8b0TXgZ7ZqB1D1HLNJSpPF1vfamNU2Y8mBPvealURUGW0mwZ8AedGzV6Ww8SMsGx4Ijzmr5Ay7hv2jOjvk4Hy6p6jJi0rTkzJ3yQKVmWauO1ErFM3HP5BEZzrS/2//69t+ETP3cQg+nuj1mNiFre+HTEEWPR1nzjOW/zYArvvm1HTbPQ84E27fEeSMitF3rQdmFhAdGop1j2NSKjsspe7YLD9CzkN73Rg7akCi1rYgjygCZFnQUH2R6vaOglUjIJXs8egQJw2TX6QI0M5AGs5mnrHUMv+cYGveiDjaR7CRI5LLsRX7UoAJQpYNjC4ZMqd2654DU3DlTVBO0RqHndmeUyVkriGCKrBOG3T4qmY8dL4rkTa0zcbpsUlVGLbgxfKW3BM9VBfOnZFUiXRqSSnQ3aRixDraUWVzyrRQr8x6Pt3TfQ50TJ3YkhYXFG+5VCWNA2LtXvHU6Q5GXQ1oWB+cLFk5BvhR4a7pgLhWxKlibBRH9/f83vt2zZ4gtSpqI2JgZEYKpsJ7C4LFSEjbomUrDziYoYcMcjK2pRFtcCYp22RwD8xvzkTZtu0geHvG/1RmSnHBGQGk/UBm311813IRg5NSg+p2U3ioIsoaHPuxPoSttmFme60lY1m5jsftk/LeaWqnIiXmUxZBhe06TjVaECnMl4J+CuF4lmZDaqGEyfX7mxV+oiznEnu7C3G1rYr5RdlORYsm+z3z9rvZuPBUlFaJMozmu2w4u/bnH7VTvU12mztxda1MDuyCnROZfG60SkNzbvO0YyOLCl972lyT8cAI5URYDkdVqzsU4zLbu+j6V743NbD6I2VfcYWFlZ8f1Ob/BKnt7t7DrNXBzs2zYJAOiLb+xrZ0SWZVe0fcaPf/xjAJ4dVMIo+5r5MY3xLOHqKG3lensgs7YmmltHxWc3lKy/4I9r6sRID1X2kEqYSLQ54NZOBpQtQO26n6o9W2kyHZUBvbmlolJd9yX9z63bI7iui6K8PxfLBuZkhW1klX4w+7YLkQDt71Lm2uw4aH94xMliQYrATq84qLqdsScIoq+lCmXvvVBQNdHmisFgQo7iCKTZCbNHiCdFTKLTStuobSIiK6XPLvW2AKRbXDwrXmbdyKWTAGZRdU0UCoWa31911VV45OkjAETQyTQNTI/0A8fncXaphCWZbWomaDvnCnXd/a/ymmykbGEGD3RObRexTBhw4MpuiydPngTgBV9zTQYy4xaACnyNyCho+8obL699vBa0Hcyuf5f23Zsn8E/PHcaSG0VMpiLDmvi0C11pG2tiE2obLuCK7qc0qW+f7n6ziZH+LABvo51qwl8wYlRRcm2ltL1p31b1uxt3jWA0CewdTp73xsOCCz3EFlxg9TKjMmhbdAyl8Lh0PA/A66Le7aBtLmED2vDXv8bNTK9y6VhWNZIcSPSusgSQ5b8F4MTZeWThbUCT7PfZMjYcVGCpDdrNl06s22u/4YZLMDY8iKs29a3+4AsECtq6ruEL0uq4LittmfPn5196DS7Zfgr7p2vFFhuJnEyQ6kpbSnRQ86K1KvQuNvTmk2FQAG58sPXGuDpXTvfhk+88iG3D9ZtIm7JSzIGJaA/1ChDr0ln1faebWK2FqcEcvjNbwrJbGxQ8n3VR1BT77jMrFBR0a6pqPKWtiaVSVSUYl10bp86Jfh+rqXsn+/3r6FxsbZ//iKqI8p7n9HJFS352fh615FqKAsWAHrRt7zUUtLGiprf5RAQohNsjxJNpAAWsRx44blRQdm2cW+agbRi8qmPaTp/0B9SDmTpHjx5VQUoaQHZOjwEA5osOloviZm3UeVMf2LNGAXftm1bf56SPbQSVjvorUtOrimvimWeeEV/L99XfZEA1IeWjFOx1XAOnHTEp3XDpZM3jddPyscH8+R34GrhEdttdciPK96g/V39xtVZ0pW0zjZzoMzl+8rTqBjo93P0NyMSwXz3XTHf4CGVfpX3B9bs3eX8fj+CbH7ob//0XbjvvY9I9k21Ue7qUK0hGnr+CY6IsN2E7Rr3r0Ea1696qgxm/XcNQf/uaXfUS8YiFfkNsiDeP5Lt7MKuQk4mJcwvCgodKPblJU+voTUryxsq6NqCLWCZuu3REldNdDEQ1lRI1VLIs/3VrWhZo89mrncuZ3sW2TNy6awS5ZO8qBJuB/OP1ij6CglQp8+KxVmkHCVLa1rFHIKXt5MjaKkUMw8D+mf5VbXRInRjroeQUiQmIVA8HbS/ZJPbcjYK2qRZUnqTKnS3J+SdkDa77s56c9xQNK24E5+aFZdVq4pyxnH9dPZpfmxhCt6Kia2q+YqsAamQdri+yAtFV7ORpm4y3d10VbC5HFjHDOXEew+wRYomk/NvO+8zGZd+JM4sctA2jd0Y75oJBKG2F4kPvakw899xzKkhJitnxARHQWKqaKBRFBrxRhksP2r714LSvg/SADJZE19jFdDWozKAKEy+88AIAL/g63NdcttlbXIr3etZNoAoLUVSwZbC2OY4+6U2Nrn8ZLfk0LrtRlB1xzvPpzikII5rStpmgoi1La46fOoOCDOYNnKd9QDsJqizz6dWV2BHf5OrikrH2Bsd1z7CN5g1JKtolrbRrx4h3flZrirQeBBUnI/357hzIOvDrrzmA3YMRvOuetTeZ6iR9cqyaW5GNL+WmPrGBEha9gt5J+NIBPn+dJh4VY56jKYKmpqZ8j7Fj3rzCjciYixVaV4eV8lM5+OAG8vDvBRKr2COQ0nZiaH2qH0ig0eny9VbIBALNmR62xNomvWFDg7ZuazZ/AJCU89N8tX4DaL1B94l5z7+1Agsn5kQifbUE+lAmpjxgAWDz6NpEOfrz/eodwupr2Y1oDT07L/4gAU1VS4hQxUy6zT1jaoO24vOfkCKwMHsEKyKOYT2WFElLHN+hk2c7/2IbEF7VMW1H+da4Js6cOVPz+9OnT6sMOAVXyE+z4EawIhtcNQrSUcA0igp+4Q6/l9649LOKdjhwowZa3R5B3lLDA80FbbOyQRV5CJ2W1ggj9oovEE3oBvwDASXfejAmg7YFRFBwZAlNB8vQLW3CTDXhT0yn59S5OazIjGEvNPUJluoP51cPwEY1b+acUVCLonahB11i2FhB25Q8F1SaHUEV6ZiNqHwfnU7YNMOmcb/HLt3rFyL37p/BP/3K7ZgZ6m018XCfuO8Wi1U4rlfqyfYIraN7o73h1v1dPJKLg1hEzH960Pa6667zPSaR9BK9bI/AXKyQ/VQ5RBVK68JNXRA9bGTisvFxBSbcEMEdKW3Xy2aL9l+JNq+L10ImYMeXSa3/Hq1ZhjNiL6d72iaTIqlNgflcuvnjz8j1LTXejYeswW2tgenJBb914rF5kUhfbZ8TsUwkNGO3SzavzZYpGbXxO6+9HL/5yj1487XCgq4EW9murZc9AuBvak72DO1uhBYNqGWp6nOL9PYNs0coVcXfRNaheDEbE+/72SO1VdoMB22ZDqCbjc/NzcG2/YNAoVBQiylqxEVqyAJsFMoyaNtg8N4yJDYnBwZKKquufjchgiWdDtzQQFtxTczPz8uvxXvPNNkArU9OihTsPSmDtpdPh2er9axyp5qsNSKXiMCSwfB5V0zSnVSp6U0GMonVF4NRGeQ9u1hEVSYGeqHBVnAxNza4uhpBb1YW1pRureidQCm7uVEIns+ozOonpU9dxOj++xkL2CE042PMdJZxaZWyXHaVStuEc1GV2bcLT7Hh4oad3fcNv9ChhiR60HbLli2+x+QHBtXXdg816GGY9SSplLZh9ghirL9k0/i6HtNGx1vnG77gEkFBrvWy1qD9V7LNjZrWQnDfl+9gv4+1MpKVQVvYcORWIBoV9wYFbfMtBG2p0S6tq+rtKehzOz7nb6Z5ckn8vBl1b0preDveX1uR2iqv3j+JNx2YQUoTfqxAHMd6BG3JdqAKE44jzoOjlLbtDdrqwi8TjrIXGekT57HghoyZBaGKttdBdTwgRVZHz8x3/LU2Ihy0ZdqO3mV0fn4e+Xy+5jG0mIpR0FZ2MHRgYqEofhZv0Hnzt95xN/7yHS/Cx3/5NTW/u3PfNK6czuNXX31dyF+2D9q0VmCqxiBlpdxqLvs7mEvLv/Mrbe+5fl/o43X/pmZ8UduNYRhIycAYBUXjHQxG2dqEmW0i40hB2zMFcQ1ZqPaEii4YZBxtQomd0CbXa7a3f4Oh+xNlohtrgx9M1MRkIoF86qI9ELTtC5RfdlKRzjQHKdyLjoEFmXTKGMWu+x9vRMhepd9YQV8PJMYudOIhQVvT9C/hJ6c3iZ/DOe8GlQyz0UlpTbMc138frMhy8C1jrLRtBV2cEdaMjKqeVvOibRdU6ZFqc/n4WghW1KXa7EfaTgZSUal6NbAi+2bMzs4C8MRHAy30KyELOFKIZmLh4SUK2j5/cs738zNFcZ9mm2jinYt6e5fhNnvppwy/l+p62COQ1UcVJhYWFgB483yszaIoPSgeRVWtE0ghH2aPsFwQ5ySyDutkErucWahtYs9w0JbpAJTJqcLA8vIyxsdrA05l5SUoOyRGLdgy8DIrx8xGGdR4xMLBrQOhm+3hbBx/967r8Or9UyF/2T68gdY7BnpfqdVaYEpGpeKy7FoouhbmXJHZ3D8T7tPjC9p2QWkL+LOcQGeVtnpmjxrcNYISBvMVeX0ZlZ7YvAYz8M2ohvUF4Iv372z7MUW0oO1GC7oE76+YtJLIy/Wbbi3RLYLqzXSTYwLTOeg+LLmmqhTI2xvLGqRXoPl6a6b7ViQXA9SQJBiE0pneJJS3ul85w1xs6KKJMkyMjIyo7ylou56NEy8EbMuEKQNuQduJimuoQO56BW2pUqzdnp9rIR0QZzSqFu02pmkom4Ggry0pbQfzzdtd9ef8+7P+VPjnQp/b8ydnfT9fcUjdu3qPlLGs99xDTfQHaYWs7V/PrEdDT+rFUnUNZbVI/rbtVvoOaNZ8ejVyPwVtQ+wRzsyKAPt6WC5tlpXS88Xu7+F6EQ7aMm0nrnUZXVlZqelwDHiTvq6CpGZIc2X5ux7OUgJARA60ejdV+jqoBKxHf1YoayswcUqqbDNGoW4QLRWzYcCBAWfdFkdBBhL+YaOjQVu9wVyu+aDtoiPOX7xHvFqDGfig8jYM3QN1z0S+3YcEff4d7Wtvk7NOE7MttYEAgKQt7sWhtLgnSMHfTfKB+7PdnsRM69B9V4aFBVcs9ifzvT3P9Cpvu+0KDCdNfOgtL+n2oVwUkGrLCSlNJkxbjDn62MgwFxtR2x9g3LlTJL0dF6pBbbsVehcDpG61ov5AGanzDLg1a91OYfWg0jYVWOPFetxXPGlS0Na/31SNyJoQlxBDff4A72hf+H6NrqETc+FKymbUvdvGhQ2QBQfZRHuvN9pDEOthj0BFlRV4fYC8Rmjtff3Nk56ITg/a5mVlYAUWKoHE8Jlzs+Lx69D0b3pECNaWqt0XW/UivT2iMBuSuO2VJpVKJTz55JM1jyFFakaT6idk0HZRdp/spck4DBpoKcPsup49QnDyrkdaKr/KrqWCtuPRYt3HxyMWfu+N+/H7b9y/apfNTjHZ7/dp6uRx2Fr5Z38TkzmpsxflIiRh9kbQNmqbvsZfmSYWtn0yg5w0Sh3x5Y1qKuZNY4MNHtmbRLRGgxmpYv21N9yG/TN5fOgtt3frsBTBpEqzYwLTOUgJU3YtLDhiftm3dW2NLC5W/tWtu/HtD92FvVNcZrwepJKiCicYtNUrSYoVGVRhpS1zkUPrgzIsXH755QBEA10XBgy4yjuRaR4KuA2O+qsnS7KcPor1q2wbSom5fPNIfl1erxks01AVKEDvN4PM2OLzXAkobT2bv+b3dkH/2+nR8D0F7YPOrojzZATmqsEmBCT7dkwDABJGue3X25bA9RRZh8+QbAeqWtC22qGg7abJMfV1zPTvSQ352QyMTfv+piCbw7fbqiEMGpcLIYpfhoO2TAfw7BFMVCpVLC8v1zyGgrZ9WmkDGZfTYJVuc9fEdhOTQS8qJXFgwKXJrslSaCqZXnYjeKIiygKu3T7S6E/win3jePm+7jVRuDTQwCG+TkrbZtTLqTgZ6YtjSvdOjwJEtcVcsIwqjKGsKBMaMmvvn7Ycjxa03Tw+1JHX6CR6s7E+WYp1yXgOn3zndbhuW/ffj22ZqqkB0NnkBtMcpLQtwVL2CFfumG70JwzTE4Q1IgOAwUFvc1yuijHRNDhoy1zckAhkxY2gr0/YkFEZeBxl9jE/Dyy55tqyfZfv51RSHetw82edP33vPfj426/Gy/dvWf3B64i+zu91pe2gVFcG7RFIiNTK3i4RECXUE4KQPcJ8Rdx/I0n/OUo10Yjs6i1DiBgOdg+1f4O3b8eM7/v18LSN2jJo65o4ceIEAG+ep9+1i5Rm1ZfUPl7DMBCX166V9Kumq25n/HXD6Gtg08AgxHGYYdYI3diuLOQPU31QUE0vec/FLUCzS8014W3TTSiLSt4zZa1TbbLJwY0CkQVpBN9nLOPXXn9nOw+z7VwyMwrgqPq+k/YIpilUES6Mpl5H+Ft5RvJDmd4J/EeMqspoBz1uw/j5u66CG3sCd+890JHj0VUAA232hVoPdKXtcH7tHWQ7QcyooOTaMOH0vOriYiCjfNINzEl7hE2DvXntMIwOVZ04Aa3FxMQETp06BQAoV8Vay2SlLXORk7IqmK2IgBR1ZKf1FwV0mdYgpe3ASEBpC09pu17kk1HcvHN43V6vWSJGFTT8xtahnHwtTA1m8dC5Uq2nrVROt6K0DT62nqctNUAmC4ZLJvtx/Mdn6j5PGBP5BB79dy/tSFB883De9/16eNrGKZYAA2fPngXQOXsE/fzW9AYxKlhxIzh6dgH6jpCOJdGgOXy7GJBVpSXYKFeddbGn2Ejw2WDaTlzreh/WZRQQ5akAMNyfUz8LBth63dOWgoiktCWfXgtV2E0ONHrJtIUqPvFLt3dUudoOxvJeMN2A2/FMJG1A401M5tmUv0Snl8r+Pf8gt6mgfiYewftfuheXTnXmPejXWSfsFzpNVFPaTgyHN+7rNjEZWNYDzEz3iEdMVQImgl8upvoTjf+IYXoAUtxQI7JCQXgCLi8v43vlcTxWGUFJ2SOwpy1zcdMXF2vwZTeKv/zLvwSgB23Ldf+OqY8t11xkw0J0Q2nbq0Q2kD3CpZuFNdSKG0EkEsFll10G4PzsEYKPDTbiJexAFcjOsbzv+2ZFQPGI1RErjrG8fz24HkHDeETcPxWYal53ZDyh3deQfn6Dn1HcFNfu2UW/3zAliuPrELTNJiLKMuPccmmVR1989PaIwmxIRGZKZtPqNM0oyQFpdCCvfjY93Od7TK+XliSlSpYC0xS8jbSwYcpqistfun4cO8dyDR7dG4zlvOC6DafjHlY0gDezgAiqs3fMjNV55PpDQcYoqjB7oDRPz5r2pXrIR6JJYpa3+JsZ7U1fzZhU9OhWDkz3MAwDUW18ThmlnlfDMAygK23F3EFllC+cmcf3K+P4dnkSs8vCD5/tEZiLnfG86L2w7Ebw9NNPq68Bz8uTaY2IHFeWCv6gd0kW7VLQ52JGFxP0+h5264QQhCy7UQwMDOCee+6B63p72VYsvYKNduvtKSKBU7Jt2F/p1G0bMX1/C6xP0JasJaquiWpV3EOd8rTV99EDWX9/mpRs6DxfdLDsRvDJwh48Uh5Tx7IefYYs01CK/XNLnFwL0tsjCrMhMQxDKT3IOiAIqVL1MvFt06O+x6yHAfhaSMlS20rAHsFuIUCTS0Zw/1278P7bt+OX7t7f/oPsAP2pqOrMa6+DomcgWoUNB2O51RVxfYFmZRODvRMEpyankR5RIyRjWtC2Tla8l0loXk99qd60d0hY63efMM2h339ZkxeFzMaANm/BoO3ZBVLFGPjmj54HwI3IGGb7pPC115ss0dfD2d6u4utVonJLdmZuwffzompE1htr227iC9oGI5Q9xnBG3AfLbgSTk5MwTVMG6GQ5fAtVn0FRTb09RTRQmRkM2gaDv+tNPGIhpvk0roenbVL6+FY1kZvytG170NY7v6P9fu/arLRLKDgWnq/mMe/G8XhlRMVxkk34DbeDuBS7nF1ipW0Q9rRlOoINF1V4KtRoNIpSybsBKcCpN5caH/APILEe9zLJJOMAltV7JMuHVkuhf+Gmre0+tI5iGAZSRgkLblw1JugkX/rgy7FUrCCXWF0Nmg54xQ7W8VXqBsmICRRbU2J3EuH/W0EUlQ3pG5SMmMCK+LqZa6MbpCMGUGZ7hF5C31iOplhly2wMaPNIG7vTp08DABaK3vX88E9OAohgHfaZDNPTXLplEvjmKSzDCzRQ0Hb3lqluHdaGJmqL9cyZuQVYlqVUgcccIZYYSG68dWS7iVkOaIkRs3p7fTGSFWKHAiKwIuI+MSNxQOYBWwmg6gpZG9W6Nn+xwOQ0kU/AgqP20Z3skdIsaaOMohsRXXk6XEkKAOlEFEDZZyfZKU9b/XOaGvVb7w1mE8C8sDtZcmVDMNg444oK1lRifcQxcaOKORc4E7BpYFhpy3QIUtpSmcXExITv96S01Y2wgwG2XvcDIv9UsoBQ9ggXQSl0UnqCrYeCMB2z1eJiNYKlzgPp3lGQkqo82iNK23RS3G+xDdqUI6MFans1aEueURfDmLBRiJreZ3HJdO94XjNMI2jz5sr1xuzsLACg6HibyhcWxNwS9A1kmIuNUVmZpTdZWpYNf/dsm+7KMW104jLgNre4gtFRURl50knhpJOBCQe/+4uv6+bh9QRJbd/a60rb/mRUefx/+esP4cMf/jCWS2IOseDAasHGTe/T0WhPEYsEvW8jiGse0922RwCAbITOwfrMoxRLoKCt63o+su1W+jayRxgfEJWpBdg443hWg4uu2CtmkuvT/4FsGp47dmpdXm8j0dsjCrNhIQUmyeo3b97s+z0pbdOa0rY/EGDr9aBtPiMGPGWPQMbh5oW/YcpYYlLutbLv4CKplxps9VrQVijFgfg6dvxtJ3mt6VyvBm2nhsQiqFc+cwaIa+PzgUs3VpUDc/Fik9JWNiKbn58HAJRcbxM2LzdXG7BwgmHaykjWK/2enp4B4CltR3O9aafU65D35vzSCm688UYAwGPlEQDAvlwJw02KKy5kspotQLtL29uNaRqqWS41kyPxkd1idZhtmco2L9bgb3UFro0qIpaJhBbk7QWl7Yi0jTDXLWgrAqQVObc7mk1Cu20iI9rnlI37ldRbJ8W9vOJGcM6tDdCuh6ctAOTi4hp47tjpdXm9jURvjyjMhoWCeVTKt3v3bvU7YXRea48wkNpYQduBnPDiUSUNtlQudn/O6TiDCfEm18MeoRV0pW2kQYlONxjIiAVtokcOaaJflLTl7I0ZtNWzxNkeDdq+9zU3443XTOP//fm7u30ojCQZ8RbEW0eyDR7JML1DNOBpu7y8DAAowZtQSIVrsz0Cc5EzJAMvDkycXSzAdb2g7VCag4vnA+3XFgsl7NixAwtOFM87ooH0b771tm4eWs8wKPeFJpyeaDi8GuTxn84P4IEHHoBji3vjfIQGZP2WaNCQLqH10iBFblo2BjTg9MS+f9t4P4D1C9r2yb0MxRL0oG0nAv9k15ZL+vdNpLQ96aSU0lcnFlkfR9WhrAhiHzu7sMojLz7Y05bpCJbhArILZX9/P/r7+9XvytpgoCtt4xELNqoqoNvrWUpSKtJAa0YTwAqQ6PGSmHawfXII33y82HNK27h27vWSm17g3a+8HoX4E/jpa6/r9qEAAF5x1RZE4klcs7l/9Qf3ICMDOQBziKLSUhnXetKfiuKjr9rb7cNgNNIxGxDxLkwPJBs/mGF6BDsQtC0UhN9bya1dxq9H8xSG6WVitmgoVEQEx+dXEIGl1urciOz8EN6bVSwXRbDtscoIXBiYji7h0vHeafrbTSZHBoFnTm6YZpDk8b9QEJ9poSKO+3x6b9hGFUXXRipaf/4RDbzF3owUuX1xC8+Veqdyc9/2GfyvRx+DuU42Q2Q7QOOT3pCsE/1GPnjP5fjRsQXsGPY37u5LReTrixjMmLWIU9WEF5NZp2zwxGAOeGEOZ5d6aw/fC3DQlukIETnYVV0Tr3/9632/I2sEAy5igaxawihjgRp69XjQllScZI9gRMXAm+py98v14F2vuBY/Kf4Ab712f7cPxYeurO21sv+RbBy/+/rLu30YCtsy8fJ9490+jPNmdLAPwCG2HmBaIpeKAeeAGMrIxntToc0wQSgQS0HbSkXMb2XUlm5EejSJxTDrSVI2FJorGYhBBGrjKPdUBdZGQnhvLmKlLNZcz1QHAAAfel1vCBF6gZmJEQAnVV+XXidqisZpiyWySZA2f+exrqagaz5Rfw8sGiCLYFxcKnJH8ylg3u2ZoO22UWlrtk4NhCkOQnaSpHI14HZEkPLTBzeF/rwv6a923j2awuPH5nHUkedjnRrrbZsaBR6Zw2KpN66HXuLCjy4xXYEaYVRgIp/P+35XpqAsqjWdGeNGFQsyuRUM6PYaKmgrB1jKRmUSveOj2inG8kn8+Tte1O3DqEG/ZnpNacu0lyGym+DPmWkBEaitIGMUu30oDNM0Ecu/oXNdsVDSPW3VY3t87cQw60HaquJcBVh2bCzJJmQDNo/750s+nQSwiELFwdETp1GSIYSD20e6e2A9RF9KrEvXS6W5VuIWgCpQkPFJ2p/HrdaPn4KuVN4eRkYG/gEgKZWbW8YHgUOnYPeI3d7lU3n8+t2XYM/E+qjHKZZACltHetua6xzEDgZt73rRbuD/PISjJ8X361XBMz4gbMuWq7yOCcJnhOkI1KCwChMnT55UP3ddzx4hEpLJS9neINUL3jaNoFJ8KmlYWCkBAHIp9svqFrqCImn1xgKA6QwHNvfj/XfsxB/9wu3dPhRmA7FraggAMBbvLSU+wzSCgrYuDLjafroUorRdL0UMw/Qy/Qlxzyy7UZx1RCXctkFen58v/TlRTl2qAj/48bMAAAtVX0f6i53BtOxt0mOVfvVIyn1syZH/y6Dt+dj8UdB1fLB+sDOX9gK6mZh4jR0zouKvV5S2hmHgZ2/YghdtGViX16MG2pWAPcJ6W2xkExEY2mteuXkY73y151W9XsngPtnfqMC60ho2zBl57rnn8JGPfARf/vKXcfz4cYyPj+PNb34zPvjBDyIavfCVjRsN0xUB2SpM/Nmf/RlKpRK+XZ7E05VBbLPPAAj3zMnFLEDEPjdA0NZvj7Asy0v0BknM+qIHbfNxXkheyNiWiftu2dbtw2A2GP/qJVfgki3T2DfFHnzMxsHWVC4ODLWho012xHBQlmuR2EXgq88wqzHRn8b3F1wsa93Qb9t/SZePauNCzZfLDvD0CycAGEgYlZqKyYuZPRNZfPgVu9dNpblW0jEbWPJsduj/TKz18FA+4uBEEdgzU1953Zfx9sd9siHgwa2DGExaeOW+7S2/5oVA3Calrd+3fr0aoRGWaSCKCoqIIIIqZvqTmMgnVK+hxDrZyvRLxW8xxK//YmfDnJEnnngCjuPgj/7oj7Bt2zb88Ic/xDve8Q4sLS3hd37nd7p9eEwAwxFZxoprolQSUdgXqjkUYeOxihjQw5S2w9kEIBsG9nojskTEP9AW5dsZ7t8Yk/WFiG6PsGlsfbKkDMNsHCzTwPXbB7t9GAzTEvp6iIK2i4uLapO9cyiBH54Upd/r1eWZYXqZHVOj+Ozzx0TQViptr9zKpfznSzImLCbKrokXTs8ByPdc74huYxgG3nrtpm4fRtPkUzHgrJf8o/9zqdab9f3Vr70Gjx6Zw3Vb66+v0klP6T6SF0mA4WwcD/3GHRdt8J+SrFXX71u/3kFbAIgZVRTdCAbMZZimgahp4N+/8jI8+IOfYOdIZvUnaAPUEK0CCyulKhKs5FdsmJXdnXfeiTvvvFN9v2XLFjz55JP4wz/8Qw7a9iCTQ3n8+BhQcG1s3boVb37zm/EX93/a95gwpe30SB9wZBbokAF3O/E8bcVxlqTKhYO23SNimTDgwoWB/bt3dvtwGIZhGGbN2KZfaQsAhw8fRlFusq/dNYEfnvwJACAe5QZ7DLNr0xjwtWM47aRQgg0DDrYNp7t9WBsWskEouwZOzK0AyCNlcSPYjYyoDF2qUdqeT8VoPhnFDduHGj4mrlWBTI14wpqLNWAL1Cpt6f9u+CLHjQrmXWAm631ObziwCW84sGndjiEds3Hn7lHkEhGUHQeJEAuoi5UNE7QNY25uDv39/XV/XywWUSx6pvPz8/PrcVgMgM1jg8CxWRRgo1wuo1x1UJSX2/WjwNeOA9uHas3Kt0+PAd+bhQW35wdxmnxcmHBcQ9kkpOMb+rba8FhwUIGFsX5enDMMwzAbH5HEdgEYKmh77NgxtcneN5lXj03EOGjLMKM5oa5dhii3zRsFxGwOAJwvca26cL4oRDf5BJ/PjczoQA7AkmpARuKjkf5sR15Pv/+mR7kaEtCUtmSP4JKn7fp7/A7FXZxcBl52oHs2MoZh4L+9ZX/XXr+X2bDRpaeffhr/+T//54Yq249+9KP48Ic/vI5HxRAUfC24ESwtzePckrBIMODiT3/pbpxYKGAkU9sQYKxfyO+7MVi1iu6fWoGhGqwloxv2trogiEr/nZEsN5xgGIZhNj6GYcCECweGKKM0gJMnT6IkvTp3jmZgwUEVJgdtGQbASNZf4j2W6P19RS+T0Pp4LDtinzOS4x4eG5nxoX4AR1VDy7IMC00M1RfErQXdwq7vPCwYLkTonLgw4LhGV+0R/uL9r8b3D53F9asoppnu0HXT0Pvvvx+GYTT898QTT/j+5siRI7jzzjvx2te+Fu94xzvqPvcHPvABzM3NqX+HDx/u9NthJOMy+Lri2lhZWcHpRRG0jaMC0zQwlkvADLE/oEUWdaHsZcRAKwbVKkyleElx0Lar/O6bX4RffskObOcyOIZhGOYCgTZxrtzUnT03qzbZ+WQEGUNUliXYHoFhMJiOAVrg45odE907mAsA8paswFSd3adH+rp5SMwaoWZgQaVtf6a2ErYd6GKnXILnKcB/TqowumqPkEtEcOPOEZhm18ODTAhdjy798i//Mt72trc1fMyWLVvU10ePHsUtt9yCa6+9Fn/8x3/c8O9isRhiMc7kdAOxWAIKbgSlUglnpdI2bpQb/t3OkQx+6cXb183wei0YhiGVLRYqrqnsEVIxLhfqJnfuGcOde7p9FAzDMAzTPkwtSQwAZ+eX1O8ycRsjkQJmSwlMDPT++olhOk3EMpFABSsQwaFbrtjR5SPa2CilLUwUXHFOd86Md/OQmDWSjokwEFWKkvioUzZ/utKWg7YCvcloFaZS2lpdUNoyvU3Xg7ZDQ0MYGmpOhn3kyBHccsst2L9/P/7n//yfnAnoYQbTwkOqABuVShXHzi0CABJmY9N6wzDwvpdsnIWVTUFbXWkb6/ptxTAMwzDMBQQFbU3LBlxgviA6t1twELMtfOLXXoeHD5/DjVzayDAAgIRRwooMMO6e4CbBa4GCti5MLLlijzfWxxVtGxkKzpaU0lYGbTu0j/UpbZMctAUA0zSUtVHFNT1P2y4obZneZsNEl44cOYKbb74ZMzMz+J3f+R2cOnVK/W50dLSLR8aE0ZcSE7oLAwXXwlOHjgEAMtHebi7WKgmjgqIbwayTUCWL1GGVYRiGYRimHZiGC7iAHY0BxUUUHbHmiEIkw/tSUdy6a6Sbh8gwPUXSKOOsCyRQVhWAzPkRj3pCKQraDkiBDrMxyUj/87LytBX/Z+OdCahm4jYMuLDgIM1WggoK2la1RqPWhRUuYdrAhrljvvCFL+Dpp5/G008/jcnJSd/vXJezEb1GxDIRQwVF2FhxbZw9cRYAMJC6sCb4LVnge3PAC46XwedGZAzDMAzDtBNS2kZicaDoqaIiRuMKJoa5WElKS7Y+c7nLR7LxiVomDLhwNd9NDoRvbDJSaVuBhWJFNHEGOmePkE9G8ftvvBKZuB3a1+ZixdKsj6oyaGvz6WECbBh/gbe97W1wXTf0H9ObkH9twY3g5JxYMI1fYF5r9163FwBwpJoFANiowuKJiGEYhmGYNmJBNGiNJUTHdur4TUpbhmH8bOkXQcXpeLHLR7LxoT4eHi76uMR9Q6Pb+R0563mkd8oeAQBevm8cN+8c7tjzb0Qs2XxdeNqK0Jy1YSJ0zHrBkkCmYyTNKuaqwIprY7YgNhVbJy6s0r1b9kwBn30aKxAKYtu3oGEYhmEYhlk7hlTjJFJpLMFT2kaNShePimF6l//yntfjB0fmsGec/WzbgQ1HqTFjqMDmyNKGJmqbqjT/B08fBiCSg1GbP9f1hJIhVddQStsIC8CYAHxXMh0jHREbjAIiWKyIwWfz+GA3D6ntTPYlkDRK6nsuU2QYhmEYpt1QCWUqIyp7lNLW4GQxw4RhWyaunO7jIFSbsLWxJsHJogsCqtT4/o+fBwBEuHJj3aGgbQVeIzKbTW2ZADyLMR2jPynUpyuujYIrRN1DmQvL/8gwDMwkyup7VtoyDMMwDNNuSHiTzgrVYFmuq+Im24QxDNN59D1Owig3eCSzUSCx0fOn5gEAURYfrTu24Xnakj0CK22ZIBy0ZTrGeL/wry24ERRc4XvUn7qwgrYAcNdV29XXrHhhGIZhGKbdkNI2k8sD8JS2yShv7hiG6Ty60jZp8X7nQoCUtaeWKr7vmfVDBW1dE460R+DqACYIXxFMx9g6OQQAWHSjKMvNxUA62s1D6gh3XLlNfR3hoC3DMAzDMG3GlBs7mEJhS562+eSFlwxnGKb3iBieqr8vwW1xLgRIWTtXlgpPVtquOxSfrcLztI3aVhePiOlFOGjLdIytE6I75KyTAACYcJDpYEfKbrF9OI0YRIYyymWKDMMwDMO0GbK4W1opAPCUtiP93GSJYZjOE9H2OJND+e4dCNM2YvIzXXRERWyMxUfrTkQFbT2lbSzCQVvGDwdtmY4xlIkDAJYh1LVxVGAYF14Zn2kaGLEWAQA2l5UwDMMwDNNmqFH70koRAFCWStvtmya7dUgMw1xERLWowSWbJ7p3IEzbSNhiX74kbQxjFouP1puYzMhWXK8RWTxy4YncmLXBQVumYwyk/SV78QvYtP7OveMAgF3j+e4eCMMwDMMwFxxyb42Vggjakj3C5HB/tw6JYZiLiJjms7lpdKCLR8K0i0xcBGuLEP9fiBWxvQ751wp7BPF1LBrp5iExPQjfmUzHCPrXpi5g0/oPvP5mvOHFS9g8mOr2oTAMwzAMc4FhyW7Sy4USAM8egTbdDMMwnSQRtYAl8fWgrKZkNjb9mQQwq32fTXbtWC5W4tIKQbdHSMR4Xmf8sNKW6RiZmA0TXqA2G7twLzfDMLBlKH1B2j8wDMMwDNNdIjJou1KUQVuXgrasv2AYpvMko95YM5TmBogXAoP5tO979khffxLyvtKDtsnYhde4nVkbF24Ujek6hmEgoVkiDPIEzzAMwzAM0zK29L0rlMS6ipS2uQQrchiG6TyZhBdIClZTMhuT0QF/kHZsMN+dA7mISUpVbdU1UJWetsk4x0wYPxy0ZTpKHBX19cQgZ+8YhmEYhmFaJSI7kRXLFTiugSpYacswzPqRSQpLBAtVJKPc3f5CYHzI74k+Psge6etNKi4SIBWYcGRoLpngoC3jh4O2TEdJmlX19fbp0S4eCcMwDMMwzMZED9qSyhYA0tw4hmGYdSCfTgAAEkaF7eAuEPKpWMPvmc5DyRDdHiGTTHTzkJgehIO2TEfJaNUz08N93TsQhmEYhmGYDQp1mC6Vq8rP1kYVtsVLeYZhOk8uJZpUxVFe5ZHMRiEdaHiV5sqNdSebEgHaqmuiKoO2KVbaMgF4pcd0FL276AB72jIMwzAMw7RMNCI208VKVSlto6g2+hOGYZi2sXfTEABgMs0q2wuFYKUGV26sPwl5zkuwlNI2arP9COOH70ymo2weG8BXTy4AAAZSbFrPMAzDMAzTKjHbAlBFpeoopW3U4KAtwzDrw/U7x/DV99+CsXx89QczG4KgJzp7pK8/114yA3zxME45KWSMIgAganNihPHDSlumo+ycmVBfc6dRhmEYhmGY1olHpRqn4nhKWw7aMgyzjkwPJJW/NrPxqQnaBuwSmM6zezyLJEqowMI5V1iQ8D3GBOErgukoE4NZAMJ3LRnl7B3DMAzDMEyrxKJiM11xXJSl0jbC9ggMwzDMeZIK2iOw0nbdMQwDu/td3884aMsE4SuC6SibB1IAXOTMYrcPhWEYhmEYZkOSkAqoctXVlLaVbh4SwzAMs4GJWCZsmfyzUYVlcll+N/jZuw74vuegLROE0ylMR5keSOKT77wWo7lEtw+FYRiGYRhmQ5KICYupquOi6Irle4J7lTAMwzBrIIIqKrC4cqOL3LRrFBaqqFJCloO2TAC+IpiOs3+mHxN5DtoyDMMwDMOcD8l4DICwR1hxhep2x/RoNw+JYRiG2eBEDAcAe6R3k3jEwnR0RX0f4UZkTAAO2jIMwzAMwzBMD5NKiI7tFRdYlkHbSzaNd/OQGIZhmA1OVCpsWWnbXV573S71NdsjMEH4imAYhmEYhmGYHiaVEErbqgOltN02MdTNQ2IYhmE2OBGpsGWlbXd59cGd6uuYzSE6xg972jIMwzAMwzBMDxOLiEBtFYZS2o5k4908JIZhGGaDE2GlbU8wko3jF2/ZiudPL7KtJFMDB20ZhmEYhmEYpoeJWMLjruoaKEAEbYczsW4eEsMwDLPBiSqlrdPlI2F+5Y5dqz+IuSjZUNrrV7ziFZienkY8HsfY2Bje8pa34OjRo90+LIZhGIZhGIbpGORxt+xG4cKAARcDaQ7aMgzDMOcPK20ZpvfZUEHbW265BX/913+NJ598Ep/85CfxzDPP4DWveU23D4thGIZhGIZhOoYK2kqVbRxlWCZ3mGYYhmHOn4+84x5cPpXDR95xT7cPhWGYOmwoe4T3vve96uuZmRncf//9uPfee1EulxGRXl8MwzAMwzAMcyFhWxSgFf8njXL3DoZhGIa5ILhq0wD+/r7ru30YDMM0YEMpbXXOnj2LP//zP8e1117LAVuGYRiGYRjmgoWUtkTaZv9BhmEYhmGYC50NF7T9tV/7NaRSKQwMDODQoUP49Kc/XfexxWIR8/Pzvn8MwzAMwzAMs5GIWH4rhIHkhiqWYxiGYRiGYc6Drgdt77//fhiG0fDfE088oR7//ve/Hw8//DA+//nPw7Is/PRP/zRc1w197o9+9KPI5XLq39TU1Hq9LYZhGIZhGIZpC0Gl7eRApktHwjAMwzAMw6wXhlsv4rlOnDp1CmfOnGn4mC1btiAajdb8/IUXXsDU1BS+/vWv4+DBgzW/LxaLKBaL6vv5+XlMTU1hbm4O2Wx27QfPMAzDMAzDMB3m6ZMLuO13v6q+/5WbJ/GLd+7r4hExDMMwDMMw58v8/Dxyudyq8cmu11YNDQ1haGjovP7WcYSflx6Y1YnFYojFYud9bAzDMAzDMAzTbYJK2x1Tw106EoZhGIZhGGa96HrQtlm+9a1v4aGHHsL111+Pvr4+PPPMM/iN3/gNbN26NVRlyzAMwzAMwzAXAnYgaDuSTXTpSBiGYRiGYZj1ouuets2STCbxd3/3d3jxi1+MnTt34md+5mdw2WWX4cEHH2Q1LcMwDMMwDHPBEmxENpKNd+lIGIZhGIZhmPViwyht9+7diy9/+cvdPgyGYRiGYRiGWVcipq6zcDGYru31wDAMwzAMw1xYbBilLcMwDMMwDMNcjERsb8keR6XGLoFhGIZhGIa58OAVH8MwDMMwDMP0MLbp2SMkjXIXj4RhGIZhGIZZLzhoyzAMwzAMwzA9TERT1iY4aMswDMMwDHNRwEFbhmEYhmEYhulhLNOAARcAkLaqXT4ahmEYhmEYZj3goC3DMAzDMAzD9DimDNqOZGNdPhKGYRiGYRhmPeCgLcMwDMMwDMP0OBS0vWz7pu4eCMMwDMMwDLMucNCWYRiGYRiGYXocCtru3jrZ5SNhGIZhGIZh1gMO2jIMwzAMwzBMj2PBAQCM5ZNdPhKGYRiGYRhmPbC7fQAMwzAMwzAMwzTmg6+8Eo++MIe9E7luHwrDMAzDMAyzDnDQlmEYhmEYhmF6nDcdmAEOdPsoGIZhGIZhmPWC7REYhmEYhmEYhmEYhmEYhmF6CA7aMgzDMAzDMAzDMAzDMAzD9BActGUYhmEYhmEYhmEYhmEYhukhOGjLMAzDMAzDMAzDMAzDMAzTQ3DQlmEYhmEYhmEYhmEYhmEYpofgoC3DMAzDMAzDMAzDMAzDMEwPwUFbhmEYhmEYhmEYhmEYhmGYHoKDtgzDMAzDMAzDMAzDMAzDMD0EB20ZhmEYhmEYhmEYhmEYhmF6CA7aMgzDMAzDMAzDMAzDMAzD9BActGUYhmEYhmEYhmEYhmEYhukh7G4fwHriui4AYH5+vstHwjAMwzAMwzAMwzAMwzDMxQbFJSlOWY+LKmi7sLAAAJiamurykTAMwzAMwzAMwzAMwzAMc7GysLCAXC5X9/eGu1pY9wLCcRwcPXoUmUwGhmF0+3A6zvz8PKampnD48GFks9luHw7DMC3C9zDDbFz4/mWYjQ3fwwyzceH7l2E2LhfL/eu6LhYWFjA+Pg7TrO9ce1EpbU3TxOTkZLcPY93JZrMX9MXOMBc6fA8zzMaF71+G2djwPcwwGxe+fxlm43Ix3L+NFLYENyJjGIZhGIZhGIZhGIZhGIbpIThoyzAMwzAMwzAMwzAMwzAM00Nw0PYCJhaL4YEHHkAsFuv2oTAMcx7wPcwwGxe+fxlmY8P3MMNsXPj+ZZiNC9+/fi6qRmQMwzAMwzAMwzAMwzAMwzC9DittGYZhGIZhGIZhGIZhGIZheggO2jIMwzAMwzAMwzAMwzAMw/QQHLRlGIZhGIZhGIZhGIZhGIbpIThoewHzB3/wB9i0aRPi8TgOHDiAb3/7290+JIa56PnqV7+Kl7/85RgfH4dhGPj7v/973+9d18WHPvQhjI2NIZFI4LbbbsNTTz3le8zZs2fxpje9CdlsFvl8Hj/zMz+DxcXFdXwXDHNx8tGPfhRXX301MpkMhoeHce+99+LJJ5/0PaZQKOC+++7DwMAA0uk0Xv3qV+PEiRO+xxw6dAh33303kskkhoeH8f73vx+VSmU93wrDXHT84R/+IS677DJks1lks1kcPHgQn/vc59Tv+d5lmI3Fxz72MRiGgfe85z3qZ3wfM0xv8m//7b+FYRi+f7t27VK/53u3Phy0vUD5q7/6K7zvfe/DAw88gO9973vYt28f7rjjDpw8ebLbh8YwFzVLS0vYt28f/uAP/iD097/1W7+F3//938d/+2//Dd/61reQSqVwxx13oFAoqMe86U1vwmOPPYYvfOEL+MxnPoOvfvWr+Lmf+7n1egsMc9Hy4IMP4r777sM3v/lNfOELX0C5XMbtt9+OpaUl9Zj3vve9+Md//Ef8zd/8DR588EEcPXoUr3rVq9Tvq9Uq7r77bpRKJXz961/Hn/zJn+DjH/84PvShD3XjLTHMRcPk5CQ+9rGP4bvf/S6+853v4NZbb8U999yDxx57DADfuwyzkXjooYfwR3/0R7jssst8P+f7mGF6l927d+PYsWPq39e+9jX1O753G+AyFyTXXHONe99996nvq9WqOz4+7n70ox/t4lExDKMDwP3Upz6lvnccxx0dHXV/+7d/W/1sdnbWjcVi7l/+5V+6ruu6jz/+uAvAfeihh9RjPve5z7mGYbhHjhxZt2NnGMZ1T5486QJwH3zwQdd1xf0aiUTcv/mbv1GP+dGPfuQCcL/xjW+4ruu6n/3sZ13TNN3jx4+rx/zhH/6hm81m3WKxuL5vgGEucvr6+tz/8T/+B9+7DLOBWFhYcLdv3+5+4QtfcG+66Sb33e9+t+u6PAczTC/zwAMPuPv27Qv9Hd+7jWGl7QVIqVTCd7/7Xdx2223qZ6Zp4rbbbsM3vvGNLh4ZwzCNePbZZ3H8+HHfvZvL5XDgwAF1737jG99APp/HVVddpR5z2223wTRNfOtb31r3Y2aYi5m5uTkAQH9/PwDgu9/9Lsrlsu8e3rVrF6anp3338N69ezEyMqIec8cdd2B+fl4p/hiG6SzVahWf+MQnsLS0hIMHD/K9yzAbiPvuuw933323734FeA5mmF7nqaeewvj4OLZs2YI3velNOHToEAC+d1fD7vYBMO3n9OnTqFarvgsaAEZGRvDEE0906agYhlmN48ePA0DovUu/O378OIaHh32/t20b/f396jEMw3Qex3Hwnve8B9dddx327NkDQNyf0WgU+Xze99jgPRx2j9PvGIbpHI8++igOHjyIQqGAdDqNT33qU7j00kvxyCOP8L3LMBuAT3ziE/je976Hhx56qOZ3PAczTO9y4MABfPzjH8fOnTtx7NgxfPjDH8YNN9yAH/7wh3zvrgIHbRmGYRiGYVrkvvvuww9/+EOfHxfDML3Nzp078cgjj2Bubg5/+7d/i7e+9a148MEHu31YDMM0weHDh/Hud78bX/jCFxCPx7t9OAzDtMBdd92lvr7ssstw4MABzMzM4K//+q+RSCS6eGS9D9sjXIAMDg7CsqyabnsnTpzA6Ohol46KYZjVoPuz0b07Ojpa01CwUqng7NmzfH8zzDrxi7/4i/jMZz6Df/mXf8Hk5KT6+ejoKEqlEmZnZ32PD97DYfc4/Y5hmM4RjUaxbds27N+/Hx/96Eexb98+/N7v/R7fuwyzAfjud7+LkydP4sorr4Rt27BtGw8++CB+//d/H7ZtY2RkhO9jhtkg5PN57NixA08//TTPwavAQdsLkGg0iv379+NLX/qS+pnjOPjSl76EgwcPdvHIGIZpxObNmzE6Ouq7d+fn5/Gtb31L3bsHDx7E7Owsvvvd76rHfPnLX4bjODhw4MC6HzPDXEy4rotf/MVfxKc+9Sl8+ctfxubNm32/379/PyKRiO8efvLJJ3Ho0CHfPfzoo4/6ki9f+MIXkM1mcemll67PG2EYBoBYHxeLRb53GWYD8OIXvxiPPvooHnnkEfXvqquuwpve9Cb1Nd/HDLMxWFxcxDPPPIOxsTGeg1ej253QmM7wiU98wo3FYu7HP/5x9/HHH3d/7ud+zs3n875uewzDrD8LCwvuww8/7D788MMuAPd3f/d33Ycffth9/vnnXdd13Y997GNuPp93P/3pT7s/+MEP3HvuucfdvHmzu7Kyop7jzjvvdK+44gr3W9/6lvu1r33N3b59u/vGN76xW2+JYS4a3vnOd7q5XM79yle+4h47dkz9W15eVo/5hV/4BXd6etr98pe/7H7nO99xDx486B48eFD9vlKpuHv27HFvv/1295FHHnH/9//+3+7Q0JD7gQ98oBtviWEuGu6//373wQcfdJ999ln3Bz/4gXv//fe7hmH8f+3cvUoraxSA4c+NxF8EUQkS0EvQQkxpERtLbYKVaGkjktoud+AF6HXYaBMINgasAoJWCoKFWAgqWbs4IOx9/lI5347PA1NkJgxritW8DBNnZ2cRYXfhT7S2thYHBwefv+0x5KnRaMTFxUXc3t5Gq9WK9fX1mJ2djcfHx4iwu/9FtB1gx8fHsbCwEKVSKVZXV6Pdbhc9Enx75+fnkVL627GzsxMREb1eL46OjqJcLsfIyEjUarXodru/3OPp6Sm2t7djcnIypqamYnd3N15eXgp4Gvhe/ml3U0pxcnLy+Z/X19fY39+P6enpGB8fj83NzXh4ePjlPnd3d7GxsRFjY2MxOzsbjUYj3t/fv/hp4HvZ29uLxcXFKJVKMTc3F7Va7TPYRthd+BP9Hm3tMeSpXq/H/Px8lEqlqFQqUa/X4+bm5vO63f13QxERxbzjCwAAAADA73zTFgAAAAAgI6ItAAAAAEBGRFsAAAAAgIyItgAAAAAAGRFtAQAAAAAyItoCAAAAAGREtAUAAAAAyIhoCwAAAACQEdEWAAAAACAjoi0AAPTp8PAwbW1tFT0GAAADTrQFAIA+XV5eppWVlaLHAABgwA1FRBQ9BAAA5Ozt7S1NTEykj4+Pz3PVajW12+0CpwIAYFANFz0AAADkbnh4OLVarVStVlOn00nlcjmNjo4WPRYAAANKtAUAgP/x48ePdH9/n2ZmZtLS0lLR4wAAMOB80xYAAPpwdXUl2AIA8CVEWwAA6EOn0xFtAQD4EqItAAD04fr6Oi0vLxc9BgAA34BoCwAAfej1eqnb7ab7+/v0/Pxc9DgAAAww0RYAAPrQbDbT6elpqlQqqdlsFj0OAAADbCgioughAAAAAAD4izdtAQAAAAAyItoCAAAAAGREtAUAAAAAyIhoCwAAAACQEdEWAAAAACAjoi0AAAAAQEZEWwAAAACAjIi2AAAAAAAZEW0BAAAAADIi2gIAAAAAZES0BQAAAADIiGgLAAAAAJCRn1O85SuvexOmAAAAAElFTkSuQmCC", + "image/png": "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", "text/plain": [ "
" ] @@ -341,22 +353,20 @@ } ], "source": [ - "# obtain the visibilty relations as an narray with boolean values\n", - "# i.e. Trure: two data points are \"visible\" to each other\n", + "# obtain the visibilty relations as a Boolean mask\n", "visibility_relations = VG1.visibility_relations()\n", + "# zoom\n", "cutoff = int(N/10)\n", - "fig = plt.figure(figsize=(14, 4))\n", - "ax = plt.plot(t[:cutoff], w_t[:cutoff]) # zooming in a bit\n", - "ax = plt.xlabel(\"$t$\")\n", - "ax = plt.ylabel(\"$w_t$\")\n", - "ax = plt.title(\"TS with visibility relations\")\n", - "fig.tight_layout()\n", + "\n", "# plotting the visibilty relations as grey arrows\n", + "plt.figure(figsize=(14, 4), tight_layout=True)\n", + "plt.plot(t[:cutoff], w_t[:cutoff])\n", + "plt.xlabel(\"$t$\"); plt.ylabel(\"$w_t$\")\n", + "plt.title(\"Time series with visibility relations\")\n", "for i in range(cutoff):\n", " for k in range(cutoff):\n", " if visibility_relations[i][k]:\n", - " ax = plt.arrow(i, w_t[i], (k-i), (w_t[k]-w_t[i]), color='grey')\n", - "plt.show()" + " plt.arrow(i, w_t[i], (k-i), (w_t[k]-w_t[i]), color='lightgrey')" ] }, { @@ -364,12 +374,12 @@ "id": "e24eb9d5", "metadata": {}, "source": [ - "Of course, we can also plot the visibility relations for the HVG after obtaining them with `VisibilityGraph.visibility_relations_horizontal()`. In this case only the relations for one specific node are plotted as an example, so that one can easily convince themselves that there is only a link between data points for which a horizontal line could be drawn. (Note though that the visibility lines are not plotted in a horizontal manner here). " + "Of course, we can also plot the visibility relations for the HVG using `VisibilityGraph.visibility_relations_horizontal()`. In this case, only the visibility lines for one specific node are plotted as an example, albeit not horizontally." ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 7, "id": "3c3f7f27", "metadata": {}, "outputs": [ @@ -382,7 +392,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -393,20 +403,15 @@ ], "source": [ "visibility_relations_horizontal = HVG1.visibility_relations_horizontal()\n", - "cutoff = int(N/10)\n", - "fig = plt.figure(figsize=(14, 4))\n", - "ax = plt.plot(t[:cutoff], w_t[:cutoff]) # zooming in a bit\n", - "ax = plt.xlabel(\"$t$\")\n", - "ax = plt.ylabel(\"$w_t$\")\n", - "ax = plt.title(\"TS with horizontal visibility relations for node 55\")\n", - "fig.tight_layout()\n", "\n", - "i = 209 # only plot the nodes visible to node 209\n", + "i = 209 # only plot the nodes visible from here\n", + "plt.figure(figsize=(14, 4), tight_layout=True)\n", + "plt.plot(t[:cutoff], w_t[:cutoff]) # zooming in a bit\n", + "plt.xlabel(\"$t$\"); plt.ylabel(\"$w_t$\")\n", + "plt.title(f\"Time series with horizontal visibility relations for node {i}\")\n", "for k in range(cutoff):\n", " if visibility_relations_horizontal[i][k]:\n", - " ax = plt.arrow(i, w_t[i], (k-i), (w_t[k]-w_t[i]), color='red')\n", - "\n", - "plt.show()" + " ax = plt.arrow(i, w_t[i], k-i, w_t[k]-w_t[i], color='darkgray')" ] }, { @@ -430,20 +435,18 @@ "id": "fd5fd60a", "metadata": {}, "source": [ - "We start by analysing the linear time series on irreversibility. For this we use the time directed degrees via:\n", - "- `VisibilityGraph.retarded_degree()`\n", - "- `VisibilityGraph.advanced_degree()`" + "We start by analysing the linear time series via its time directed degrees:" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 8, "id": "c8abc84c", "metadata": {}, "outputs": [], "source": [ - "k_r1 = VG1.retarded_degree() # obtain retarded degree\n", - "k_a1 = VG1.advanced_degree() # obtain advanced degee" + "k_r1 = VG1.retarded_degree()\n", + "k_a1 = VG1.advanced_degree()" ] }, { @@ -451,12 +454,12 @@ "id": "8b81f887", "metadata": {}, "source": [ - "Applied to VG both methods return an array with the corresponding degree for each node. For such an array we can obtain the probability for each degree with a kernel-density estimate using Gaussian kernels. [Kernel density estimation](https://en.wikipedia.org/wiki/Kernel_density_estimation) is a way to estimate the probability density function (PDF) of a random variable in a non-parametric way. We use `scipy.stats.gaussian_kde` for that." + "Applied to a VG, both methods return an array with the corresponding degree for each node. For such an array, we can obtain the probability for each degree with a kernel-density estimate using Gaussian kernels. [Kernel density estimation](https://en.wikipedia.org/wiki/Kernel_density_estimation) is a way to estimate the probability density function (PDF) of a random variable in a non-parametric way. We use `scipy.stats.gaussian_kde` for that." ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 9, "id": "ab06fcb7", "metadata": {}, "outputs": [], @@ -471,20 +474,36 @@ "id": "19cb5e7a", "metadata": {}, "source": [ - "Now we plot $p(k_v^r)$ against $k_v^r$ in red and $p(k_v^a)$ against $k_v^a$ in black and compare both visiually. The first figure is plotted on a non-logartihmic y-scale and the second one on a logartihmic scale. Both plots are cutoff at a degree of 12, for which probabilities get very low too be comparable. " + "Now we plot $p(k_v^r)$ against $k_v^r$ in red, and $p(k_v^a)$ against $k_v^a$ in black, and compare both visually. The y-scale is linear in the first figure and logartihmic in the second. Both plots are cut off at a degree of 12, at which the empirical frequencies become too low to be comparable." ] }, { "cell_type": "code", - "execution_count": 12, - "id": "07800115", - "metadata": { - "scrolled": false - }, + "execution_count": 10, + "id": "20c8f530-2060-4c78-a467-39321a0ae403", + "metadata": {}, + "outputs": [], + "source": [ + "def plot_time_directed(r, a, ylog=False):\n", + " plt.figure(figsize=(14, 3), tight_layout=True)\n", + " x = np.linspace(0, 12, 1000)\n", + " plt.plot(x, r.evaluate(x), color=\"red\", label=\"retarded\")\n", + " plt.plot(x, a.evaluate(x), color=\"black\", label=\"advanced\")\n", + " plt.xlabel(\"$k$\"); plt.ylabel(\"$p(k)$\")\n", + " if ylog:\n", + " plt.yscale(\"log\")\n", + " plt.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "cedb7d7c-e784-4451-81b2-da08de0d493a", + "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -494,7 +513,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -504,24 +523,8 @@ } ], "source": [ - "fig = plt.figure(figsize=(14, 3))\n", - "x = np.linspace(0, 12, 1000)\n", - "ax = plt.plot(x, gkde_r1.evaluate(x), color=\"red\", label=\"retarded\")\n", - "ax = plt.plot(x, gkde_a1.evaluate(x), color=\"black\", label=\"advanced\")\n", - "ax = plt.xlabel(\"$k$\")\n", - "ax = plt.ylabel(\"$p(k)$\")\n", - "ax = plt.legend()\n", - "fig.tight_layout()\n", - "\n", - "fig = plt.figure(figsize=(14, 3))\n", - "x = np.linspace(0, 12, 1000)\n", - "ax = plt.plot(x, gkde_r1.evaluate(x), color=\"red\", label=\"retarded\")\n", - "ax = plt.plot(x, gkde_a1.evaluate(x), color=\"black\", label=\"advanced\")\n", - "ax = plt.xlabel(\"$k$\")\n", - "ax = plt.ylabel(\"$p(k)$\")\n", - "ax = plt.legend()\n", - "ax = plt.yscale(\"log\")\n", - "fig.tight_layout()" + "plot_time_directed(gkde_r1, gkde_a1)\n", + "plot_time_directed(gkde_r1, gkde_a1, ylog=True)" ] }, { @@ -529,16 +532,14 @@ "id": "adebe395", "metadata": {}, "source": [ - "By visual investigation we already find strong similarities in the distributions. Now we also apply the KS test for this time series. For this we can use `scipy.stats.ks_2samp`, which gives us the $p$-value of two input data sets, therefore telling us if they are likely to have been drwawn from the same distribution, which would be the case for an reversible process. E.g. $p>0.05$ would imply then that the time series has likely been generated by an reversible process." + "By visual investigation we already find strong similarities between the distributions. Now we also apply the KS test for this time series, using `scipy.stats.ks_2samp` to obtain the $p$-value of the two input data sets." ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 12, "id": "0c5cead0", - "metadata": { - "scrolled": true - }, + "metadata": {}, "outputs": [ { "data": { @@ -546,7 +547,7 @@ "KstestResult(statistic=0.0072, pvalue=0.9994903068538411, statistic_location=3.0, statistic_sign=1)" ] }, - "execution_count": 13, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -561,7 +562,7 @@ "id": "ec953d2d", "metadata": {}, "source": [ - "The result of `pvalue=0.999... > 0.050` implies reversibility of the time series." + "The result of `pvalue=0.999... > 0.05` indicates that the time series has likely been generated by a reversible process." ] }, { @@ -577,20 +578,52 @@ "id": "daa011e0", "metadata": {}, "source": [ - "Now we do the same for a non-linear time series. We can construct one using the logistic map for instance, which we take from the tutorial for the recurrence plots. We only change the bifurcation parameter to find ourselves deeply in the chaotic regime to $r = 4$." + "Now we will perform the same procedure for a non-linear time series. We can construct one using the logistic map for instance, which we take from the tutorial on recurrence networks. We only change the bifurcation parameter ($r = 4$) to find ourselves deeply in the chaotic regime." ] }, { "cell_type": "code", - "execution_count": 15, - "id": "7c13c46c", - "metadata": { - "scrolled": false - }, + "execution_count": 13, + "id": "76ce744f-94b4-494c-99b6-6fcecbcc0eee", + "metadata": {}, + "outputs": [], + "source": [ + "def logistic_map(x0: float, r: float, T: int, spinup: int = 100):\n", + " \"\"\"\n", + " Returns a time series of length T using the logistic map\n", + " x_(n+1) = r*x_n(1-x_n)\n", + " at parameter r and using the initial condition x0.\n", + "\n", + " INPUT: x0 - Initial condition, 0 <= x0 <= 1\n", + " r - Bifurcation parameter, 0 <= r <= 4\n", + " T - length of the desired time series\n", + " spinup - number of spinup-timesteps before storing results to output\n", + " OUTPUT: numpy array of timeseries under given parameters\n", + " \"\"\"\n", + " # spinup\n", + " for n in range(spinup):\n", + " x0 = r * x0 * (1 - x0)\n", + "\n", + " timeseries = np.zeros(T + 1)\n", + " timeseries[0] = x0\n", + " for n in range(T):\n", + " # get current timestep value\n", + " xn = timeseries[n]\n", + " # calculate next timestep value\n", + " xstep = r * xn * (1 - xn)\n", + " timeseries[n + 1] = xstep\n", + " return timeseries" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "7051fb29-c0f0-4d8d-b0e2-2a5b8e7bd353", + "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -600,33 +633,15 @@ } ], "source": [ - "def logistic_map(x0, r, T):\n", - " \"\"\"\n", - " Returns a time series of length T using the logistic map,\n", - " x_(n+1) = r*x_n(1-x_n) at parameter r and using the initial condition x0.\n", - " INPUT: x0 - Initial condition, 0 <= x0 <= 1\n", - " r - Bifurcation parameter, 0 <= r <= 4\n", - " T - length of the desired time series\n", - " \"\"\"\n", - " # Initialize the time series array\n", - " timeSeries = np.empty(T)\n", - "\n", - " timeSeries[0] = x0\n", - " for i in range(1, len(timeSeries)):\n", - " xn = timeSeries[i-1]\n", - " timeSeries[i] = r * xn * (1 - xn)\n", - "\n", - " return timeSeries\n", - "\n", - "r = 3.6\n", + "r = 4\n", "x0 = 0.8\n", "T = 5000\n", - "\n", "time_series = logistic_map(x0, r, T)\n", - "fig = plt.figure(figsize=(14, 4))\n", - "ax = plt.plot(time_series[:200]) # also zooming in a bit here\n", - "ax = plt.xlabel(\"$n$\")\n", - "ax = plt.ylabel(\"$x_n$\")" + "\n", + "cutoff = 200\n", + "plt.figure(figsize=(14, 4))\n", + "plt.plot(time_series[:cutoff])\n", + "plt.xlabel(\"$n$\"); plt.ylabel(\"$x_n$\");" ] }, { @@ -634,13 +649,13 @@ "id": "3fa8ae3b", "metadata": {}, "source": [ - "We apply the same procedure as before for the linear TS." + "We again compare the time-directed degree distributions visually:" ] }, { "cell_type": "code", - "execution_count": 16, - "id": "9284ffe6", + "execution_count": 15, + "id": "b72858bd-3bf4-4aa7-91c7-8acc95a864f9", "metadata": {}, "outputs": [ { @@ -649,10 +664,25 @@ "text": [ "Calculating visibility relations...\n" ] - }, + } + ], + "source": [ + "VG2 = VisibilityGraph(time_series)\n", + "k_r2 = VG2.retarded_degree()\n", + "k_a2 = VG2.advanced_degree()\n", + "gkde_r2 = gaussian_kde(k_r2)\n", + "gkde_a2 = gaussian_kde(k_a2)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "95c9298a-1147-4fb2-b650-0decaf64a2a0", + "metadata": {}, + "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -662,7 +692,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -672,46 +702,17 @@ } ], "source": [ - "VG2 = VisibilityGraph(time_series)\n", - "k_r2 = VG2.retarded_degree()\n", - "k_a2 = VG2.advanced_degree()\n", - "gkde_r2 = gaussian_kde(k_r2)\n", - "gkde_a2 = gaussian_kde(k_a2)\n", - "\n", - "fig = plt.figure(figsize=(14, 3))\n", - "x = np.linspace(0, 12, 5000)\n", - "ax = plt.plot(x, gkde_r2.evaluate(x), color=\"red\", label=\"retarded\")\n", - "ax = plt.plot(x, gkde_a2.evaluate(x), color=\"black\", label=\"advanced\")\n", - "ax = plt.xlabel(\"$k$\")\n", - "ax = plt.ylabel(\"$p(k)$\")\n", - "ax = plt.legend()\n", - "fig.tight_layout()\n", - "\n", - "fig = plt.figure(figsize=(14, 3))\n", - "x = np.linspace(0, 12, 5000)\n", - "ax = plt.plot(x, gkde_r2.evaluate(x), color=\"red\", label=\"retarded\")\n", - "ax = plt.plot(x, gkde_a2.evaluate(x), color=\"black\", label=\"advanced\")\n", - "ax = plt.xlabel(\"$k$\")\n", - "ax = plt.ylabel(\"$p(k)$\")\n", - "ax = plt.legend()\n", - "ax = plt.yscale(\"log\")\n", - "fig.tight_layout()" - ] - }, - { - "cell_type": "markdown", - "id": "6f4688a4", - "metadata": {}, - "source": [ - "Here we already visually find a stronger divergence between retarded and advanced degree distribution, suggesting non-linearity of the underlying time series." + "plot_time_directed(gkde_r2, gkde_a2)\n", + "plot_time_directed(gkde_r2, gkde_a2, ylog=True)" ] }, { + "attachments": {}, "cell_type": "markdown", - "id": "de88641b", + "id": "bdf697a7-6733-481c-b907-bb40c6064161", "metadata": {}, "source": [ - "We appply the KS test again." + "Here we find a stronger divergence between the retarded and advanced degree distributions, suggesting irreversibility of the underlying time series. And indeed, the KS test clearly yields `pvalue < 0.050`." ] }, { @@ -723,7 +724,7 @@ { "data": { "text/plain": [ - "KstestResult(statistic=0.032, pvalue=0.011947718089521279, statistic_location=2.0, statistic_sign=-1)" + "KstestResult(statistic=0.0593881223755249, pvalue=4.3359432807261227e-08, statistic_location=1.0, statistic_sign=-1)" ] }, "execution_count": 17, @@ -734,21 +735,13 @@ "source": [ "ks_2samp(k_r2, k_a2)" ] - }, - { - "cell_type": "markdown", - "id": "6a1d0870", - "metadata": {}, - "source": [ - "The result `pvalue < 0.050` suggests that the TS is time-irreversible." - ] } ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "pyunicorn", "language": "python", - "name": "python3" + "name": "pyunicorn" }, "language_info": { "codemirror_mode": { @@ -760,7 +753,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.13" + "version": "3.11.7" } }, "nbformat": 4, diff --git a/examples/tutorials/data/air.mon.mean.nc b/examples/tutorials/data/air.mon.mean.nc deleted file mode 100644 index 25076d8623602c22b7f1ff6cffa8d8f74471fdfe..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 28383581 zcmeEubwF0j*7rk6Bi-UdDBXxiE8Qh264Kp`pa>Fz2nv!?N_R=OgbE1KU4l~55-Q)` zY&b_a_ulv1x4u7K$Ful7Yi3QYHL>>WJttUNToN0D90L&z4R#U^kHc-UA_Opw<2V74 zW^Y(YT3i*8b>>No-sN*tH%~AO8Ik5l2nqRE_N0unh=B+@DwBv328tr#z+Biuj$%;R zA!I$qbHrd#2*^i?ps2N-tqm#|2ZNm>0skT(BZ2?~WM>N-lkeydbCMC_z>J2@!^iD9 zNkckLL^8B+bjCbpT25k5avmcB@=3z4;<&hAGU1ndM-7ZVZp!~!YyWZe$1VPk+X*P| z?{^9+^*=5YOBn_`Ho|d3{yPB62?oRX?5de}}0D%KY+|bz&Zt7@f16LH2P=;IBS~y!6T3dLU7{eV+ z3~ddqJ)A6@;0!$O?8b&3jBIfDO>+|`6S$$H3EbJ-1kS;B?b;O%xRZsMjUn9H#MQ(a z?rLc5V&a5F3(OIqdUU9IdtgSG+Bw=B)s1pow}PFqi8U5I42JS&JH_m5T}^DkW;z|o zo;#KmQ@XAyu7+g=%tSyK6Drlw#MH#m#Ma0Jl9fA_HFtKl=Vxbkb8}-eadNa~v$Zoc zWHYmKWw&=S2D;&F$ZqCnVQg#yF>FA7d$vD2%VuoiXyIyN%x3OvV~qtYGN?d>$WVof zVoFD?0*4%^JuVJTE>3`8539ltpoNM7Sfs#(>I7j32!wzn3=shVK?eK*gcC#}1eYc} z_{F1@2?m41NYG#;zJLS@2AG1x1T7+K-e~woJc8`?qXJ-bKq?qc7BzI31U?iqc#J=e z5#|lW|Nr|N>2bSFNlaSqq^)SMvrF^|53Ml4$NPflsU}~^JFt^fl~x7}0qXu}DTD-0 zak{dI>?52^>XYFpay0K@Fi{u}CXDA0kV3%$XA=_hpI+n(DKvtkI7CF* z<0Tff9Vl=zCY@kaSWrXdu_1IkMwlDK|9|;wux9(>&*8X;2Q@pA;JyoC{fmQ(v1S2q|QTWe@Z=@+1`h? zvXfpM4IM!21fd*%-OBp0Vvibk=~&C>^krRb`jcg^&j02ff;}iK%rolOt6HXLi0lu2Ig zm}CtD+)EgYcx$B^#swD20s5Rk7GK$6>Ix4l;OFn~w={5MfAmwvJY|(r7CALcPAUGB zX-|!WQ={P2C^}`z(}w%+ZFnd%Oc6 z=)+(sz_t&A4Hfn}|Ldig{dm=)J@GeB7Sag%&7q zb}5!+gi_J}c-~mY+(0_J6w4kja(_yxSq}$8OYuoBpc+q}9Zu@}>r(7;+}pEH6^iNO zb4RK?Q3nE0a?eqz=|6+F{?c&PvkiaFL{avahO?iQT4uMZKC0&A`3nJfEb2X~=2^}g zpFi9EPk;SuqZ%CNI~fpvnB))BKmx~`+dr-4B;lVJ_1Z~#9g4N`UvxusQpZUxsAkav zf6>j+Ss@H|9{2}^m@>2DM@56$dWO@bUh7v{@c|K}Y*5 z9;kFtXw1I8Oiv0^1Zx4z3XXTIG0F?DT;K;x5(aYy;AjU{0khlyPhwy&J+3tt*Z>#- z3~+Eey&YE|@W&cT2}GzXP^rN%!9vBLEqR+B*B$m0%mPG!o29q`dJ=2{_yO*~N3#~( zU(bQRfPn+LA&fivtuQlCLIN7v_{&0_uo|#XU|R=w;A+t;eXvSwI>;8J;1^=qi(+2o;RKR|<_bJ1jGW;nUpBhD{40Xy# zr;L2cTBnB4sUhf2^P}?rl;!?=Ix8inBoEHHlf$s1-vE2^M11mk0-Qo%I2(U7FMo+Y zd1Z03pq`Zn7Y8t$#Gl9?pYr?>fAY=*l7_(yPL{!wh~M~I1HU!!TLZr}@LL1FHSk*l zzcuh%1HU!!TLZr}@LL1FHSo7JaD4u^3uXY$%)rO&$G5@cg zy8aIt^FLAS@%%3WvjP(lobE^Se;AAa=0CU~9L;~Zzc>F`{{8t6EIUW1h~VkI>6!UY zbjdIcY{~ENKcs>G#QZ<8*RNv+_Um|o=Kt|Xfc-jfPTBWav~kP-P_KR$`*$@UDJ_2E zk8doGGU1asnjit2_|YfdV)ED3)Q&z^#sw0=mjL223KEKHGD?d2YGT*rC4i}m0*NYK zSCBZ81lJHy61e#Qq~ZXd#sD$;iYCrR#-=>t7B&{fFkE1N2gP78_>m|$>;I_J1^9j( z`WPGB9>9`}P0SokOq}#h44s^jfG>QGng$earf+L#V{+dnj5p2hCjmMfW zbhm)o4|WSIQ40xpi^~BvMpZ&mLRA9zOkQ7JM(rky7f1ya3w}`UWCFZN1>gFDzK=0* zGsM;j{Lmill&*lLf`x+N1Wzu4oN78G^84>^4g3chIGX<_-~AuSvhEs<{4p2*OY`5* z`R~quu;M@J{B!<;@A$!CeKP-T?HrxW|Em+b^ac!8+VoGB5peE-HOd=0AJ6H3I{!~Z zfm0H$?V_)1i;y$U}x)WZtVeA z0B(1|uUk06Z<^THn>ZRey8u_Z44qG1z z?eM2f&QT0E{=qtP;;{hh46x&49{UZ(#`<=qrr@^xk8W3iUcBp`$k5tE z-xP2^>>U4%67GqBKF5*gVq@XtWC1uiN4MerjUv{*gZ2Xz4zqVOF|s)FBS1F-v>oVh z{G+xb04*nlGFgLumOgMF&(^}!!pP9pS>MY;p*VD>4zBEIXY69+?Bw*v9loPWgMZcs z9#Mhyskt};>IXc*V~-K=;hZg;oGqYMofsV)#D83IvK_Gxl_>~7AwtwZp zlQe`QKbG{g8wN%TYXDBXYwZbL2m> z|AV~%YX@&P10&*ZJph36e^mOX0|0)83MQG`xi~rj%L;JK63)pA{DX6F@Pq%car|N3 z)6WAZ*1ZWd;*TkL=276U_ksS|qd?|6?(0A^U~33joRn=oLW80L23o4NwF?p#TK}9rU2Ok z=W2Gu#aG0 z!9Ih12Xz4I0@Mkp8&F4}u0WlEx&w6x>Jro`s9R9SpsqokgSrQ80NMhy31}P8Mxd=g zn^gi-2T(IW?ErNG)C=vGVz7J2V!+EB0MP-&0uTp4 zJOBv*BnFTaKnega00;+=2Ea=I(gVl@APa!(0CEDz10XMe*8mg%P#8c_0L1{508ko0 zSpXFPR02>Hz?%SS0;mn3E`WLf8Uknppecan09pZP1E4*CjsUs<=mwxCfZhQ5ioqK0 z0q7?N6MX>0`2&0azy|_+5Woimd|UkLC;0ACF7 ze=aajx}cpzx(7mzJ_uoh5Plwpuwo3t2yvGn++BfiY7N4Bn-H4s zK*+ZTA^bapYd;|zLf`?$Dsa|?4B-=02;DItl*WdT0~bP40thRJAWSBO(4GQ9Eh-2Z zs3F9qgK+mUgzbzF7P3Hij~zmDE(n#cK)7}l!XbVLGld|0A_}2_7=+T25OT;s2$P5K zvm%5QDi9{$gfK`GLQx$E8E!+ks}JGS9S93eAdE4G@SYWf%C->lIY5Z!4B?t9ghL(> zx_d)t;0qy#AB3a<5PlAX@IwfM6=4ttJ%P~vDTJcY5HiFq64G?~4hA_Dm!k`WawcbN0+6^H?FNC{& z5Kaw3SU3V<%s7PirXb{-g%Cau;o4^ihn67BT!rw-I)v_95K4c8kYgW0*bfLlA42#6 z@ygM7wnu?b3k^aBObBstAe_R5u$=(HLShK-kwIuq2_fG_2;npkqFsV8lODn+Ob{Bd zLMY7vAt^V6FkT2h^Fdf40AaE)g!b1V)DnkKR0_f=83^0uA&gOi@SZA!%IXmEX+a3T z1>xFl2!{+H%rt`Vi7ABc77%h+LwHkFLIME+_b>lD4e)g9ABE^)Wdtz(B>mbMA=94I z>5ga8Tc=N_=bTC3SwEdVcP9Pv{^|4!N3Ho&NCQ#jRQoi}q(8(sogRKBy`21Xdi$C5 zd79Jd2#9~y4gMl#KAp~gCS8*Ibh^`-bXS4X>A7dp)8$U5e>#&spmsW)3h8wFf(##= z(vRku^x~lxr+WP0IQ_)lr%U_I{no&54gA)?Zw>rk(ZE0R7uG%ho(8@K0+)G#fOsr_ z)_*u#N`V(7Pj@VT)}J^lUo^pg6xHqlrJVII&dQ6kX&gnZ9+!XC-#9Cua?jx?>ZJW= z{g1Qqi36cWQBlX`pY=!1%A0d$9!2pT%b)d6&dNsyHXlXFdO;~?{gt!wnhO(0QTE5> zpY>nP%HI*+KZ?pcmOtyyoR#-ZB0BOPCXeOM`Zs6gD^WR*f7ahQD?jZ3U01zz zEPvMjIV-(s6sv`a@^sZ_Yygk@T_rS^wy){N-Co|IlBOITn0!jNtj}@9wZx(1%J9|E1a~Kea;uVSvGF!u+`OYU z0U zLU`c~omDaGMlUfXJr4u1R{BT;TP4f;Fd>%6X>*grp*zCuP#(RCAZdXipDCR zfAU@S<0`&k%`Ic?b99))^oZ{H1M+1F-3H`o$+Hbjow^^VP#1}K18O!Nld=psmY}>F zb!Zc7ezoG!w}xeS|30Rs#h9gSgr~)`!XK^*)rDS9e3VHfrM~qp^;(Y;W-Riind(~H z3cT)nc^>yI^Iegl+k6)uvzyB-%~TRlGrT$fT&6wwYq59RwX0^@w=PLf`i{J&>9sxV z%sz;_{?!>t=K*G=dAa(FTk+#)iE+~L-!qq6<(T+OJ=UUM1x3Wvgx+t&cQ4c= zjJiSPNlh`JkEfrIIUs(ga z)U25bc)G`o>6Mo|QTms*qR5A4lrIPh51QN%y89{-*CSq=MfBi`XxB^0PwFj%{Y(iB zH49fwp1FGjqeVV7;oEHYKrug68r_XH?h^e?_=t_?ccJL zi5ltQYo)!59r7q7;E+i)P)6>e4=_YByxm>g?RDsUhnEp48Wh?y)b!(bvg zwqi)y&QWM(cWxxZr@oqTbVbOH<6LJ`nk0%mUe;QCEV9tOrM;yQy3BL%0?HNQ4m2Mn zGqYKwc8W`)mTx+qqM*+kAs;^7tTOjRuW@o~#`0HxR){5s$R0*W$0A}7cpsjy%2eW_ zwen-ddKV+9c*B*symdMLL*k8?u3W|8#ie}Pq~-|ql{u6OnLtUi^_SS~$+5dX&9C;u zU+YTW?x~GVvI#W0?1>UqUidy~!J2rMT!fKOdcKx{E^8no!zop&o}fZ_3SCz9tHMBK zVs*O9GKS^-mUfqD*A(`++9~(85zkL!p%L$vJ~K??hmv%pD+}Yi^Q2aAHPW^3$Zix~ z!IN=B?7!R0pVwWsi;;STI{n@SxH0CwTxl5YLGM7-w2bCZ1O*#+y ztTw34jOJE`#HAdqH0^WnWv-Mid5};HVtNVRk_(j!X~VhjVy+rF`}O6oQS)ky!jpKI z!YWpIcgC5242x%TnaA$YGioLWP@lU|htRU*otR@%v0{8#(@d++dc67&oKLFjO*V@3KwwrKg>r7?byVp-!W5t%jxi{t`WdWBr&o zgX#yeft7tqD_)|zDI}p-L3hm-n)sKtB+D((mDwJqy0P0!Ub5}LFm(0R7)wuTU|h;? z7{ZQ+mBjIQe9m;4ncb0KbaXNird%O_^Mr>5@7=jG9+$(qJ?&RNC0S><+WU6D8S(R) zY!2>i+LyYzhNRe!yLSrbqqq@emXc=A_m~DZvPuiDgll$~%9P#Kzg;~ajEesKibPGd z;^ih&4((0E9C1_rAVKFj@`Z0I1msC~*Zarcn5@CCsBaL>HOAR&1&E8ey9rO+%JPrS zU6~z;CM~LPtP$jI9(r-d>dJRE*HKv}?gs)_HBAV#KC!Gk??W2JC#yEW$ekTAI8J0cvh#2S{UI)T;IcnT8yYF?xWs?du_KcGrk z{K-ESP+dd!D%{g~JFy7mv)_LTQ&FxLPa|Wp#x`r4p*wcC`Y76M?CI|6pyAMW;kQS!N4I^)!F`^y zm4n1P*25EP)cUf&>&GR^Ud;ac3sDDiRa0F(vCm!B9KzJEksv+@$*)L2JV!J)^u_eX zu5}x+{Q38)7B`gAm#sM6spNkq>~ARC#b9|FJ?228a51l8$f!SDs*zTK*mj4vr$ysZ zccS^$DA)Bz?Va87S3c(ADRnrLQ_jy=%Qg=qp z99GK^b$hXt5dm(qXXW%(E{}2#f=iUi@vp^=d>pT}q+A|o?s;!&)F+gj9$V{fgyFxR zpqq=;WqN*`HS=4Fh+y1!%~z2xod#wJ*4D`O@# zX;1!UvCO{k(DWS|MY5#f;jU|zdQ`TPcS|a8xZskb#3&pur|rhHa{Hwf^UB@}-L3N- zB3~}8zmUc*mc=kBNczT}z5C97f@GMzJ~c8sL#IhO|7}Sull4u4&B6RML#F0eFLn6K zuRk=+H~N;L-V~SH&QNyTzBo zD;_iP_^q#RIg7Qv?+xi-GpcfkNs9^6#dNJ!x*hY%iJ4eF#y#L3uAmNiQ8&Ms?oO%y z)AR4klu(>Us2->jybGC>-uo;cHiD`$9RK;rt+I6uZzoR*-WT8V_K5e}umbPX-)e~C z2yUhrz1pTxYKs$pzU#`R_ck}q9juY>SH`6JRHo3Ub%tDcBP>#9v^12MkF-@OM)&OS z8M=;r2_^wIt3jiwXfGX`=!L!@jWPe_fHDyi2~4yO(H#@+DB_C}Yi%1?lWZnYb=#5Y zqj2g4s@M_51HSX&ZceoFvI=~Ax5oo4*Z7Q!GqBBg;y4FLt!V=lSKY(u^Ko}C0{3J?HPtwO4RD@&r?^_^|S8U!03?oqHOQ6yuT*v8_19c zbKLS%x=L&_N2$4q$*)aLe;c{?d^f)krzQ5P*!^6DyV%j`nJTpB`$sk`SKcdk2Q@yA z;`V>j-uq1ofjO3XF7mQcs|v~8s=SXEBbwSPFLOLv__0i@)16M|((dK;DB7*bfxaGn zu}0`>6!O--*$;MQ!LP4mRw)K})>D+WQ7tZ;>rFh(a~x@izEXBcT4DCfju-F>%VEU8O=QzJoZbic3oAas zLA;+oAQlgHJiSJ=uqPiIVKX`tWc;D-1%lPmr;pB@#Ew;-0U}>jSB-Q&G{E{~ZYaf9 zsopy9L>@^t9eG63EdDzFqQ~MV!peA+h`r(VSUi>e@%{ZvSAH%dJ{h;leP$8J?L;4$ zgn#dS)eC>2AD;&sD-%Lgx96WceIZhUXJBMY8KI~0%Gz7<(>{-L>f8GS>;xS6=5H4T z(eBDrShBL&B>Wa(r*VyYQ^Xj$Fh21H^oQuXA z8QgQ#B***l=xUY*ZM4)ymv^@p@jAY_e6jV+ixxJcc}oiyjBXdbAUV!@cehwBs1U`h zN!Yt3J>byBem4Kj(qKecAF$QeR}wwWiS$w-jMeRUC~7%4nNFzu-jh;{xs2@=#-%_P zf^nov#htQl3S;ni66TK!C<88mZxg34*Nq8H7(X8w^(l3tIOsLV!jnOz4(eG@vNvC?#w5u5RJ+4fX z&85LRXO`eG{_Vk!!mU*nLP~7x0M?Q$?>f@gkux<9P_vwVa?TndA@TGL2oME*k~6cV zWk@_vSb(uXNweG){nNP|F$mopwdT5Fs-TSVj-Ksi8UC)tlO7eF4^0-C z#2IXf5d`La???FU?N8W(Qhn|?NT){;XWmvXY!PqkVCEY+CsUPw9=&MOZJYfX^|-I- zC|N?FXaQqfpE7$AYE(j5wahae+q98r3`#wP5sBjS@t2ee21M5rx?2-iVhmLnpPg6G z{k-o+kSO$~mDb4D;>ooy(uQ#z=twbFKUb2yjEOS7)pkB?lt8_?&SY6j^wyp1gi->f z9v!9DtFLTszVck4)%#g}eR|c~$1M{R#n?0I!-{~$vk%hE*ij{m8MsM4zS$)nJsL}B zLcHuGt0cUXFJz@CpNN~>r~kIt9Davc^pl~$!%DIwtO~q#=9zv!vS11_1&sx}P=d@r z-UFtD4K9xq_M|~t{D_5~diO=QyF`U7Ps6#mzkFQ0{)RaVR_^>MMXewy^Y(wT!$t1L^wQ_pJegseycjhJ8+=gY~4a6+P#DfOlis&?1L8 zvlTnx9t}_GGh3+)-Gw5g!KsY>_R0Zr0+I%+_cfOv;t7A#6@Ozp8xxPVi2Q8#-TYce z$!etqX~gGNNn)==RmV*fR%)__Hzn4UOMNfZ55rnVC$^+-f8`e$r$URCwR5>hx4-X2GM26*F8wdq3H_vesymdYVR$ zcwd3P`B9s&JVJREXUW$M?QePLN>=d`3_(R2ld|pMHT_XJYyzXE2p5Gu%*oCh|M1Gh zEq!(0D&JGfTIDAlx9^lMjb`@FD{9tNe3uKy z^Fvp2YW?D|7-xc?KrTNXTKV$+9+sV{(~8URp6y|d)Ziq|3;L*6?L%a=Ma$7QsLDR< zH&zBG{+OOe=e@wf+$>I&fpF`M!J_E-ms0yFC|55TTjPkey?49+j&_0&_V$_jP0U^H zPDVdb(hAH%r4RJu*SdeQR@bz!Hhs(U(=9Z6<`_1wV9;H5 zg@(7bBn1yY$X(8bi~By)XwUbDbH`dmW#y}4(;yS7&Q{5Lb~P^zU$Fj=Rmyx}_EeM)%CMw1_-T@EnHC9X)PzT;DL?n0kX^mL0(hl02MBF9Y(yBAZY zR#t3TBGVsZ4hA`bFX_8$OV6@7>JP+CwHqn$-*WZ2{S+%=(1Jp!r09yIV1IMQ9@Pux zoB61?Z)YO?{7EsDWUB~m6dX{*XjUxNa2@0(K8V@3A!D{g@Yh{?2fy;E@A9;X{=EyB zJYK$}n(+jEN{Z|a>)N(Eu4a2Ky^Oa=x&k%%&Ft@wI9H0IhnETrcWuiOOf7PBRHqS< zPbFE$-O26hd}AGs%Rk=^FT0Nr^X$O9sx=+$iz+!Jp!c#4^dY;9ZA+5klex|8Ag$jGj6yCyKdp{C6X|HALeN!oM#3*YIc{*=W=B6-g zZ1Z-j+{bqeb$93*f5fBDQ4{jqSxP1wp65s=n``O`H2vo#d^-DhIk8x2x91)`y}V>L z8+LI)xRk#lS>CEgnzkwAgT@6kpYTP83(T2{cDSEQtyOMWvJ`Tz)E0Qa83JponY>3c zIgJAXnA8nsFDfv7qozWpdB*Ft(K7NFIYV&hoIp4wYrvAqU6%k(>8v=xOWoa7cItAa zohBZAYBCIY!Hs>lD|rO)tW?FlaE!KfJW4U@yR(IvV|iTFM2)=UMk2B?GPT~;Qi=?u zB`h)AezE7(a~H$@z4V|uQE^tws5XACf2|=C%c}1}qIKQoId`)U52L<5|NL!-{3lMW zg2&6l$O9quk9nF?Qs-vzr(O;SE+;8=V=75rzck_e#ZPlubZ1N{^9g;W#cS^cznh67 zbdwg&9DR&_`~KPA+goiE=QwOMSu1QY-k|N^B-35IZ^Rj^y{1q2R_C5tm_fFdd2hUw zR9P$GM{%ZseC3y)WF2$yDG15JxW@w!E$?(U$1+_ZfrTV?BdJlCRld>+(ezx%|SkSBy_6ysI> z^l|f$3tQRL3!40zJo#1aYv3asZS}i++8oo=chjFv*JL&hyh>t^FW4r>#ZG3i8C71I zfnjEkbg0tpn6=f};n>N%+=hQQqwNn&Qn}k%%Q( z?AEF;dCsWYs@lQf`d-j&j{?cyGeI;au}5Y23+Z6#vA73f>OGeV4Ds)t5NffzwPmbA; z$k!;lS@d~JcW^}Z7;&~#D^8@`+S+Ua{-X}sPlMQ2sV>6`n;3GPx{bKi9vv72gE&E* znUT)%{(*f&)ds!ty=?LVTpzlN{8VLUZ?yViNq7x2+r3R&=ilwO>^xxXyOE%gm*^8) z$45@nh#yfXwzh@cBk=60z>aoYRt&okf=UK?EL-0$$>_oxBQ)w;aE7&Oq2)X-3{oAs zBxpXZTS9`d{fOI|w% zlfbrPy$xZGR|!+5wQ(yN?|rakIhs-nLNGDP>Pzk`6^cltVeM;HD_%dZPffq={y;v2 z6f&U!S9mJ(9agJf*fT4e$cWV&_~2bsbgHn!0tV>?XSqE*X=VD3`#Z9Ja+>E0#aj|~ z;nTQl4T*koi6Uf0(GyW9UUt+v;n$=LR461L)$LRRU8c;cnZgW#XM&pZ%}q6AtumGZL{eP~_)5JOJhX(&#eULPP%!EKJ@NNzRwADPDl}`Z6nF-k#5! zJ$AeGpT^n5SP!^|3I)f>i9VWP1W28qBy;#C-N9%(>YBB4<>5|U7nc|V^TmVbWTrC& z$TqUJ85~T^k16$EbeoPJEJ_S_?!7YJ2xV(z?vdVow)K;%fpT;f zc5ggt`5)gkDK2*hy{d36Jb&-a;q;8Dd{~Hf__>Goxrz`bJ_!tou4bLgN9}j`W;QmbxgZ562j;)zG=bJbFK&&`e87(pEs8z-VPa zyDqMdK`ZYpsU?cxH=rqc&>oQR1fOiIVT-4~&eIJus zs7knWpV!KZ@r9IdBKe*3=^2VRTOZvE;g~v67`51b$b@ypE&Sf?0ug5(teP&vyDf5RB=}w^>LTYgY?;hU^XuE&sVFAzWJ@38 zW-w@Ma(329#Lq=*sTB{We46@^TY;5TUbW?BK}(+1++T}@$?3h`7l6%SR&L!%kly?m zizMYu%*(I4#Uz&t)>X_R(Y&czMD7b*d@0j>EeTF*r1<3Hz~@XCyYy-AMg^dH3}CQ(GVQXn!Y!bW`K^L0eIly91eHC$;FW-bF3Z@LWP zWlgIq7lf?hY=pMO@);xI$_xW7G`)|xWO zQ(V~Ird@5@)|kp?lYKX^mER#^l(_j}5k{MEZ)@v!1+xhwH#?aHN%DXr6~qV5eR&_9ii*X&}ucmbSMJ z8Ev-r;;ypkziEC$^7^7Q`I}zac0EUvATi%CYZ()Zin&?o$1s6e-82p7)bVS#vs+(p z7d@j%&3{rE)LTT)w8t@?CKN)1V<4hy_lVJ*VU@O8O{A(nRDA1RHA@I;wZFEzjTeWO zrNG4KIoHtx*R(lG)uyaZUq6p`MWSVxg0hoeo1zI`)gX91}*RNRM%x65v;+x156xFI9YH{9@!1@Lm&R@zV_p_Fx~8 zC%O)f9fhQdPKgrs5pL6bJ4lZk%4DTKFx)F^vn0%Z$~!dm&@<7RiE*)x8UG>to$pR!QURrJy&w6ur!-o5%vTt6q1 z^4@?xt|u`_q?QCcUHva< zzZ%3Eb!#}bCmNxrV{Fu|@fPT5X0Qkjgbe1PZHVV}VMk~^z$?P!FQ^$Q?tX@Dn zev@V(nZI%|zkm|&#YHjZP995_D7x`r>vhT2b$NjVFDb zXfK?!@UQ!Pabea~zvR5psH3iZNk*k>nQ$T1_!@cjg4I`Xyy3lT8!WG6P?w~JHrY6c zLO-wu7t)$kVk+!p)Y|;4$w_UsxEYUV1Ml+o#o4U**fTzzXByxArul*Vn4*o1s#v*o zpi5irHT4PxnQZln{!RuRzLBV~Z0^@fJqw6Ttw9gI^UIUJEWpwr^kiiTXrp>{6D#5I z4F$DGr+&K?7HLwMfZfGm(gy4N9-A(UcE$0ImpO2;LeU>tlm2@xKcaIZ89b=gi=>^u zJ~pluX|C2{?D_nl$xgqqCtP{&-t7xA)a-cz#?>~2GHLnpu%9YqLi0R!0f`0}N|$fD zt+2i9PCh@H6cimKIaiy((m0&sa>E0um4^D=8&yUH)1_Xw9nyd$OL%ueh4{YjdV+h5htIbAmqIL8qe|HfgFxfIcC zOcINGip5gTc=QtD%-}*#P08hpxcz2i(Tsj|ik8<<%r42zj)`BrGL|d5NLrqBGZ&Xq zFuh$fjkIS3$4xuJTt7^mv{Q#qcSMfe*(utj{#IwoN7kE3_4T^=A0v{^rD)W8+&};7 zts+Tg7LQdULp=%+GUNA;O9rOGi=U``KU%b`Q0O4&9>g-YEa7psu-ZBjsQ538dtudN z@_%Dx((+K#6B68LXW(mf@AMmEstzuaT`&@b_nOMZW&7z^AKq(xkDY?Cr3ZL! z+zf5g@H>0qU)H#2?%r{ITS|aXU&`z8qttOqLaPE-`u2y}hqp+_MI?)zi-khX1CU@%USp)`82Cq-_;*pLLar8Juw{bs~*j*6&X7XI#+b&yOUBj`Oj7$@avAR58d3T$ihd#AOUa=RXx!a(_+L4@? zfqIKOVB5HzbM2~~iT5r7SQ{!@3iDMk*n=ko@N5oW zw3D<75XU%#^p__q4P%;64x2Yt%k_F$@P1LNji2`}&y&K&xl}URXQu8RM_3iX$))N7 z^M0fz8(%JJ;q6xWLI@q{d*S{s{`?S zG5M?Kxb9_TZt<~bgxK6BK>Bn*xc|Lt7$>FW`3(zmAGvguXn!KU1ELWIMn(UMw?fz- zs1O$8rQEuZu8}<|MGE7bPepZfFkkV3D>4*S|Fm^{tA6e=BU5DsP0~i14E6olh+GXi zE}Ze~f@p(KqN%T!#fT@@k`G=yXk(eL@|<``OCOlh*1wqigvWd9K8ZFMM^09 zxuHrNOuCx;!=|0f(30SeFcF+x%FNz1zKp;;>yCPcigv?%=UZkzcjx<9w=NkiI`Ysw z$GR{Xkkvn&G=PvfvDx<#kMHqoc*y5F9nD6`5*$o>aVj~xEdI`q-rCA_tT5wfY~Bs+ z;o1_kUp~*LhKUTOm#_ZH-|n=G4q{>%$)X6&8!6O?N3wF-sj?&zQ<^lT>FnwXP`UGfwWV)sX$R)NO+Lb++L>Kukg;1ZMLQ$1Jz zDBy$^AV!;NvG|$z+&R=etvK0|88IAsipU?GQM+F{dZz2^>*^wkvOXiz-E_&bzF?gf z)^8kJ*cHfS%~way9jYxd|Ly_HPlDO$NL4rKi|#}_Nw30vuiQd-{7#|0Q^u9MP0!K2 zk4;}#gbK@aq%dhAr>T!LwNyKzt1ah8iOvkhOZRcI%2S-&AhY2vWW5I> zTTb+D>^qvR)y#5_xVcnkzUR(;fj=$EM&8_Wts%Y2oOT!K!Dit3pqD(l*07fTJFL=N zGMq+_mR-bjb$^u2_)lxTVw0!V7m#9V@$5u&*z2zDefdVDWTJfsrEy4fApdnYI{TRC zU00?e>#EJlyU2QNrM*e#+$0$#dUQCjU4;1LS=gS();MasPS;fuPN{JbrQhUvY9oug zt>uuwYSX_xDcQPK<1B*GV%ywJcXLvN)Vequ9&Y*m#Qk$Z=QV9i``;)ugQOq zz^9Y4lk~|hqAH^Af<+zWXa%`ZrlUkLc)WPIkJYn@FgT4{cyLYX5HK8dUnmB;PQYkH;S6K{dbH!3K>$)^i1ij z{MFVL5}g!d?OGbYr)y<(sEQHS0z$WR3*O$!(Uw-ul)W{kAGvnHoMkdB1p(htOm;nEKN!%wo;#)6hZ|q*xis@i&!jH<;K4fE58>Cj;hJdyN!Vn{?MWBH ztT*m6cx~(D5^tJWZc0n`uDve1{d3S0{?%&z9KpwzYyJOQR{d{b?g zZa-v|XvfR1y*~d*pv3r54}|XszOTHON;6+)>|6J@yT)KO;*c-$(k{eo zXT8UcLou?dveWi1b1&FTQ~KOLQ&93z+q|@Dll$<87%_`N;Ob8F2>i`p3^A?N8cp(| z&&7GBZ`cPc!lPxrx>+o5LnpB=-(A{PL>f74>qH-yn9545-bI}*`8N8_P%R|B*~4kg zNr=93z^(aXa@FqDPQ@ksT-Ab+^)6cHL+c_~yg>}cjfRAoVCT{4y$?kN-@P!}bsRDq zxtt@q?`~#3iLx@>TWXX+XWAE-l``jQW~?#KtqnIqx6kFe73}A+NzUU#;|RR1uqn%y zj|vG7{W8h(t<}1anVUv4!aE)1RrdWPzZi_?Bjch(KTxra)TkuK4j0&4Og{D1uHy$h zsVu$VySNb_iJ3S%pv;$gG1F3ZTfeO3wz^c6V`25ZN+neW>M!~XB9~Dmu|Duix?Jje zo*}{_Vte~pq+QN8nz(t*og&ewEv$g2yVza$jP;6-!YYei60G^8*Wj{i*)x(XR(xL* z%s>=i8XNxk)Z@kOD5?V@|I4 zvNb1lIe~8IJL70}jbvWB9@1FYR06&LqP6BLujhxoRA#&A*|2h6V&lhfK zE6s&Ido>gLB3!SW>gV|egxf}R^(I_D(Z3vAPh?|PjI3fH3S>|gLh63}v~7l}A>+yF z+7{mC)a@G5uW?^VpNSF=h{+9X>j%rLhCI={dN;8_siou2Ys0HWYgU(-u;0HUbzr(& zuU~$CR_^_~A3BSipC3|AUw(1*vQ7rCeo^P=bA?qBxr1m_F2b7b-5)c~skK&RWFx3t zR}d;eLqjUGJZI$QC`vaMc)?L^p82(=CPR~M67DsESGLIIkLYKyTE(cki(Y*UHg8(K zsWRld^LY6>XVXIr(&jJko?1L)&0B5%bV%bJ!s#eiBI5XhxK2@HewyK&5Zgq^6VYe# z#lqOavWIE4vJPKM%z?gq|T695uv=qc@>k@v0ZWp3;xPRru3^? zD1q_Mh8LJ+&9HZ}?VFZ@wA*-&CIcR~eq8Okgon(mlmlnurbF-CX^qFq8$zKQNT;~e z7k{0txUai>fyA^#)XL*sV$fhu>o+g%_tT<|yXNn>uITLXVh^p7Vf}11&%Vl8!TJ{O z-M6h0>-X6?R5IdYHs8FXpJVT_d=YpkHFvm2OG@%|4bSBk{?fuot@I4O&s*34BTcx4 zZd2Lr)7(vwE3a?ow?xbhE)>xAU^??%!u<4IN~ZW?55jOIQeRPWjuB=Fu}5=3K`39` z*iKyeg(z5Brhcqgl89UV1U`%E{fZ=3IvK*~WN*H=th%v= zR-%oaM|h_#RUN#d;5OJ2fb3m)H|Eg&AXB_^!#07tZ(&_4=+4)|y$MW?keDTBZ=E^xSKl*6UK` zx~Pvn_vK~EXkg#4$bC3s%<9;<#rnPar=8Zw=5@>D1WT#;7oY3QN_I7=^X`Quy1Ngz zDrMY%U7Cp1zPE2zAM&H>rAEy%f;p=fQ*Ba=OlMdP%R8lI0u}3gC0zpF*>%yh73W6@ zIiC#mY$vj}C0+EN*o^0I`Y!(b&S^^gvk1F>Db~VEYKe`0YV%e_iWvb)*4kU&C%$B~ z9+NwZ`po8mBJx8C7=8FTjd%SMS}{TpFI(YzAbD=uTesDwhFg6!NHiuCZE4BOc9wol zTaM;B0#g zl&K=3Zu$>%Ra_kzAMB^IP>A%n(rXO}$8XNy;vKXAaiSF{c-8&fXV>I%YCL6@MfDAr6g-A3wiUmfPyZ)G^##5xGhlITRjv~St) z3-%xEdGw_O-!WCG)K2cbjPLMDhf!J)QgAt#VPN?G0YpH%zcAwi zHOE>bnbhEo{ISQg&8oL!3Nf|anO(z6eyB4KQ)%}gd8!SUM;^LLYqNW|Co0+Y9Uqu* z0fN0jsc7I{x=Vk=%tS<~Rmw?@_rlF!7EG%~rh zLioJ7c>RlZ>K~B@IB(pDdKZ22u~QS1u{sOV`f%a6QP_>NsS{zMX2|}dYu3TFPFX{9 z&8##}lE0kJd}7?PkxLA@qLP_(^e(G<9L+}puBmVnF~x?4xqM>1MsuyFuEyj|4uboi zV%|iitl9hWI(qEcTf#{gu4pCq%SAp@=Scb@#)p9c(L)bFc2Gpd2yHjRe}9xVMb%U` z+0gyAu>}j6X_C;K&s8<4Ph5)J^-cLn^@rh2>iz^d;(3nkDGEb6SEAalSin-LFzDpE z(SN3sMN(hLVk^DQgZ^dx@lv+`qh#U7cFHW;1i)=re1Z7B5RAl@wHuPdGz!n_&}d}e zh`*e{VJf9jx-Bxo*RI7%5^TN%wJ)jRf44p`)FGF)KmGbT2lAAl;JSZmwu=f>XPo_s zsz$UfH?mtpiE4n2Wdq1~7t{r#EY;#T{YkG~>eX}KFNnvD!pzW#mE1Dsd zD(u?N4m=^t?^Kne!fmX)@=n(N$fyv#Y>|*h5hEr?w~w<*yJ)VbB0yq|rz)ikOC(0K z5wQ`@Ppp;KHo6n^Ch!$qPV-Qc#(}FT>X^i!c_!tLl zs&jV8^<>Dp&~?2dtPRRYsLmh$ra~7D-h*^-ATo7q>E^S@@>7z;-mW^n>%ZEah@PB0 zo7Z{@OpN%z1#2r>^jDi6r22At8uZ+Mh11VdGMW!|62g=mk3_2sF+%iFxJW|WEQ}HMdp_(YAweGjSzJm z>h+S55Wa{0`O!j!!G7JIIr6V)DHdA#4&D+$Xy9BN`B( zOTpT!LN=-lLdAjcF|r`|mn)dAng+R*ECy1WciP=WEK{clGXrgE#Lh;C^ou6t?>0@b z6$Qr-=OWabNKB6rl!gCa!WwA`jhfGu&q$9uoJM1&-%uYb@D@rj+2a{46`8QQ2gQ=g zjm=el1Xk3#JN3U4`1d^TbOLJ%`y_}jwE_cMY4pZd8^?mZ2RN$*cPqGGULxE0Rh>(DUAP8^-mH1AtW-T zHy|HqdT-g8o{px-qy3q+cet?6gVeuD_{TJ$$%o3iPCr3nk|$p~^(~v!8Tj|uT3XvZ zGN!)fA6+{YUs-3>s_9bA*{8-zO5M4R25mcu^+U$#8X^aFG&p=b-RW2l=I+3P22t;C zyB!lza%_5rxgoGK1MSg!{M}57M7v2^BOwU}6|4--{Gs03ce9W9@FJC9E!1C9(sip# zr+Lw~)I2(RF6pVhwkudHHPw+cY3Zu7v&_ReGcgk~aswj)umfM@8&F#AkbmGA*Yodn zlVf0a1z9=beuU)U3`+9$s#RZvAJ&_1_2%YJUS{@RQI`;H%jFU*Gtuw?9NnF<$`D~Y zIGm{R$6df%@p>)GHV2DO5vtKDevBSfV7tZ>H?emYr-_AT^IQ?if4}yF^e>Qosdwez zIak>bRw^v*e9eH!J8u^8Zr(r1@ia_KgGj_miWYo2*2JrimGdSCk>SRaJ`eESV-FRS zoB-zc>3_u|?oC4ETVL`nZ=rXve)-cGwwsjT_q=xtI=VEXh;UORY`0fk$o$7(DYNb4 zFrE{(ad)=kJA<&xuo<7zY^dCP)x%i@^=5&5NXL|eI+7cI^L9-Id9@|{7nSGj%Ec6A zjjU~)7p--d?lr%`O-NqN(J&d+|9=B;8&psVtoW4FEij1fq_2vsck#O5ur1!w^{tX9 zHWr9jGfUX&xVrNXk1RK%Tx;*tP#-*y2Y256MdZu7%+))U6yCCF;WP-du7cFw(#7TT zWFuft-{~~nAAcs5Vz56@) zCe!8l;;kwX@#i^rpY51Q?ns*hJreVemj1Cqs{L7DiJ3nnWy5!=k;5qw7s_(TF!I;P zn3K}bd*6Sq$+HYz{7miVHUVxi&~ltHDeyM}(SOV$j@O-4@ya@<|HGJ>px^&aQ4rY< z+`mYz_+G<#)c;t>KzTfoMTim7=w_4=e@eJZnezB-MJads_jEI&WyHI?!?-v)>D_PU zSH}%Eb^#q$c%pK#^W1NsWr_jPKUfSYk``KFE{pd0ye*2hVSWV`A_m^wqgR z)s79LWopor^tpzHcO%qCkn-NYvL;AM*SRzfy%F!Vk#ymlcSK~-O9byI&Y>>5Y43Io zCQep@Sr&x!XG)OFw3FSh59Dtb^<3QWimiXgjF5f;T}l|x79^j80u&`(_0PUlyo*vW z_>I}{u4vDcWb2>pNI_XAuw}rEMS%^8Pq=czO(KJ5=d}n!!utVPc^nGrIZ%8?n8(t~DX1C;RZ4De&<))5v$(VPE{t)$>w3Eox-5pC!vf^q-e zoF3c)wz(%#%Vnqy$!#Q-2U27iXj0Pg&QFL_j?HsT(QVFY_d1qtsb%2oy8rGF9hK#L z;Bp=Q^A7UXcF?-94i@}8i0P-U-@dGq^2<35w7_w%V4$bCQAC(L7@1sT{;;%C-ohNb zh<+x;s#v0HtbXJdpBG~KmEzC3*g0jz_xdBu3Dsbs7piXY@cR;*M0)1`M>q|NTa2S= zt#m0J`}?;Pe{68-#%|sVfxZx zCHX`R=JSK)pu5@tdli!o9?LLx2!k}Yd&So?K94RZV`3y$!Q3KswS+d})_wjl4th&r zd55Zark$?!u05U=U0^3;Kl<#!q%;^V?(h1Hyg~j1)1)7F-fz)Ak^ie=gHqpmvo?H< zqjEr}=<*HC(`l#k^ycUk@Yc@O84Vmnpj(M9>nz{;6S)Il=o zpVwP9@oi)4hWp2924M^7;Kqc?5xcS{Ot_h)H2v+WqC1f6 z$Y_T`04&hy*O>zf96GOqhwj`!Wnw<9n3z^5Q_KYj9j_(a()@)dVdkXBv$I;?D~K|U zr;6S2NAyVNpe+!ChnL>S0I-)u4F~0Ha0h$R*X_r$ClSJE$+?X0J4Tz%HzBp~BpG2a z6H)ZtOpps;NuSQ@!wzEml13z6PmAv?LKA~^rIfevQb~7?dfKzx0jqwbVXS-LnW@eN zn5!#}u626~ZSodO34&eW-6iIXiUOv)uTi>hUSjv=6e_p>RHnlfvmntt#y#FShfS z+Vck}!w68=eQt$Gf0wgU@`gxq^Ko>Nw8BN-oYU|d9 z>AfQYDoB$iRs=yhQUygsL`ATm6cIrXP!Q?8_uf09h8{>lNGJ(}-bCzxVg(CL%C~mF zbJU~f-1onC+;RUg&Kw!Z-mA>{tY^-(_9`Ug!g1YR=Xqme-sz5?=^fN`+*&hwrff?W z$8|~k_;SoxT#zDdebd^NAy0Pe2L>M-4i7$XW;@yhP^}O*71+R)*RmDQ89XXCX7E@N>2s^=aQCIjWP2wn#Kc~{+nsA4FLTO2CrkF|+hTkwO#)ZJPpfR{8a|a?O?}Qa74^C5bvM-~rjbdrqh_xs z_;58Z%9eS_ZFw}$<2!GRh78Q+J}m1dr@JpS+!Z}f(8XQs(X z4#I}I(PrX3s*lOwG=087Rju7OO|tAWzL3d_LS^@N|{l;zNrY%I0jS!VIH3?vMX2g<7|w}wO!zLXK^C*VV+t;gii7q6SX3rNt`W{n9} zx}{WKx|;RUynA}TP^!E7Vl%@2r`39 zQpQ+|1DEH?xNtgfG0ZkR26fvh{(4SSmi2RukqTX_+_wXhdhfmlM0h_>m>JDozr0!? zQ}JexJhS!l8@i^d^yl`h+orMkpRy08+>=}7c=E%Qm9JXmhZj0;vcat{U;0F~Xth_; zviHHx+%3vdmDZY(EsjfwWIY!C^3pmdWs<(}&i(!-4F^Pved$EZ&Q z3zB_F-X^+7OZDp+(U(u`*MxP&LMf{?c)vV1I4RpNeBAGpB@OBb#bF+@747s&ofRA2 zU?a4eF!goE8^rl{shlRC)a2wQ6z-cDqiDbS`-&f!?AXFpZBE#i7+Yp*VNJ~OOhISG?7sh3$99wIhq5pBuc`9)7}kyL zOJ@F*k$;*Gu7Axq^5&Uy(pB?OGl?%RN?jMaH@;4Eq^537^|S2B*bXm`egC*RmnZOD zf9y<9bJ4y4=LSima;bV*ibdH(KdBubqWv$|8AsyVqUW4AtMV>%ro9cGy4YN`G7THi zl+S`A=o$gj&xY4zyQsN+> zjOOI0b3b_CNojXUsJGem|TPC*v7wbyOttC^WomtcRCN*+~af)3DtP7YZG6+ z!()8;oL8zUit`M88$=eEBlq8Z6Y1qhsRHwI^SB?=BV@ zHLs1df;pFwmQ`zLRzyot_>(hhjt5X4S@lgzUm9+nHIa9+$a%5rkV4z8Za1a*d=tU5 zs}`=;8y?c)Ss$m0Dn1F;H;jKT7mE^y85i0+(qBkjuJI9{_#iy9#{IPAxQVyC=A-pn zQxcf$%c`o|doMF?n|3-|3cFr+sTvl1;J)V>YiY?@tLJAP`$CR-7pO*&T8j15 zuFQ68rN?IY2V9CDi|b!5J^Qv=v94*Jp|q%$!X`VFdKL#ez?8on&Nnw{d=p7MbthW+ z!`Ne9vJ->_OfmMe(Xfn4xI*D0L2E%#he?q@AAZwaL!7H((?^<~Q#;!>>{Fv4K3TcT zbG`AEVy(XJtBCZ|dLP*>BHhqh4aN!TyX~o+!v@b+eywwUYW(Hc*+!>((v&kyd1>nB z6FykpYro&8adlq$HrqSXsho0=A+I40;|uRsXHj1}1$a(4d+SYb%LieXJ(u z^l_!D-k%gLt%B(XdJmU4u*xev3=$YHU3i)5;HyD&%6Q$+D<`YJ!m3$QzE5?V6w>d( zQyq1KN$+gkk^}W-vSNuvQtuIuvAZ+8M+(&Mnk*&9v%U18wYqRdax&$Efyo*9%&)Kk zdm2AV+wABeYH8($HP*F8z8uA3@;23OtL2C1)z&Xmt~-QuX&+2|wJ5~#`OR*@#C)|^ z?=w~db{bolOkOm)&vo4Yo%9!{qAi|IcY;tB255i0$NTiU=(%Im?w3~;j@vLX?4-qN zjR?9>iE7+6qBwqr*3=4V?E8*)Ubk3#>FRJ*_=)AU+Kid^X(_HDH34T!_g}j;h*MZ$ z+U@!_Yrb^%g}J*oMp9dcS@V=#yk}B$hTymMQ08je-rucCWTaAOyoWF6l+V+tT(_@N^yJVS3=cyg%jK zwP&^P3eSxD6o=29uHMRg!8~zK&U?)3*6b5BCZXk@D%~ZjmRxw-;dRH)n^c*33}_%? zy)^G_KVRmvZUjg82prrxv^|kNEi=*PcJYaB&m?J&Jv%Ji=TD}|G|S#BIQo>S^tNwH zVzIp2xjW{LCs!^Z@iXrO&fu#Kt9OrCYRZ(@Ix$5sV+GHM%D=ln&#~$n)T$9w;CJc@ zPqe1Iy?;HAsMJ;bSq%?6g98f+4hJQkqx#JUZTN4g>g07k&N!v@^sehw4nFD=QlIyw zoa2y6by(P@DN0GCrRFHwE~~B1;p5J@s2!}M(dan!v2 zoI=Y2RyRWPR1KHdLdMRXb*kV=GIi)PnLg9$cB$<8)cx~c_AXE()Y_>oSBj@l9XwGz zEd;NP^-x_}EKu{UqhZ-;{gT@Hx+Mz=&LtBYzOu-@pZm#j5itYP@Lum-sVU3Qbu$^& zH+C5cd2E4WY@8FZ5uxix=XnIU@ zm-8nklOu2JV9X0cwM$|uufWodxO8rtN}s)Q?Pk1V8>hl!Rrl#n-YU0`3dnpBtflc^ zPRT3k>Se7EsUNI{~WAprN?jnz}#Z?XB(?F zV-<C|PEBg1@z3|EOyy|%^ z`H^G6zUI#ZH(fQ=u>;pcQV*qm`Xn7Vbz=|9-mjHRy9USj_kG%RHYRafoOZtGqPdQS zSp2)V2gEtwJIO7fwEgHOat~)ysavW2VAoVmn1s&}KKN{l&<|i^HZE9&B^N0OPps^g zDBjZ;t0d=tk3y+EX9sOXP88;TnQbz-yKi#Xsi)T}P<}WdgS*dy^;MUE z{e*}>v;?)0jDVf3w84$}A%Qs;on)O{Ihx}S6j>kjojUu0UU&7}?GQtoG_=!nn%(yM zw!ZsKSWHu78EV4SOU6%n@Ucznn13)rFZVs*y^H?DTp4&PZH#>6XyCELF5IJ_QU13b zJ<10)a}bZ^8JrT~BO)-lC}(q;rRDLYi>58>90u4MCrssD9}_?GOqcHgJgBa~G18Vo zvgdfV?Hi+~xkJg+c?-U~YKpgtiE76Rb6h;Q;~1X`af^^sQDmzB@sc)$;gH5IBleOWh})Udi`<40i+Fbft{g-SN(Z zi_4MmQGsrn`JMDh#pInUm+nQ4->`bS=y9ujCtN0f=1oHHDSL^T(JG99jF(66lqiMO zu890?czhp9W`~fL-2Sp&NgeH(YL{f364ezawQDW&>@e2I&nh{!)aAG#GRQsyP@GG^Qg3K^Bh8ufi@VBeL>^Ll zn6+b#U{kxpwX~Zn6^*!$(+j7oE!3$8Iu8{-Fy10)%Ro=BT#PGoPx$;cpEr12%X{5! z?UBybTY4DUX66ZVE!PKfhdqNtU!}<==H(AsPq)f1*}nP0bl{ktBxdx;bSej#@WorK z%(6ze1ujyp*j||4<)6`no><4Dv_!FGTM1T~YDF?@g7bTvEnI6}+n{es+VNW}feySHt2wHcPJZ#r!1{ ztDarl|1n|wKPF6n3iDs&yG$k~2>1^Pq#IIm7$BklQ9uf*0y8rU3o9!d8#_BY$9Dp5 z+1c3GSXo(FfRHSc^wHDN(ojP`p-D|mLqkhPM^8^u{*#bQ(LqA{O-Og7dm0)VYM_FW zBqT-O^Z+~n4l6symaW{p+jsEs@7%eQpKr(ZZM@uDxwdd}aQq1ppkrlWW@4Ba>~3#u zX~A~(3{OnHnft&&E9k zB^5O-Jp&U9V1#4PT zPJ3G$>m1cFzU~{FU)R?EU}9oypsTF~g~s9s9!|ZVUnK_yK!a&FagoSnVx*^~q99xS zy1cxyP7XoXz(Y>9zPj@D>&hx<2rXoZ1Ze{i3mfNFZXRwf4i*M#@|DGfr8Np_dL~wO zPELS@iH>Sz_SpcYDl3xVbzeJilA2%XqE}>EUSWPlLYSYIS71yw95?j*-RGs1)z!6i zG74&120%P;_lC1K5v_wPataFa_2n;f@87-qF!$;6m-%_X?eYplE-l0pgoqw;G98E~ z20ALTFK?bddi3J`DlO~Q?fg6WckpttGt;iWf6!VIlypXV1z%BkrXnIUGNkN^yGazmsmk)1V zzn%RIybQ1AZiFqFI^lE{`x5TWAnw zCx6;AvcSeKz{AY2RZ9EPo$&H$KBK@qWY5^6r_WwYy?piR)ytPJU%&gbxVlaTT203Y zB9xPxmxqJqH7++QJh>b<@@#7Q<(t|0<>kfCv$LO;$*4exg9xDn@dt#Sk%eQ+7Ir2& z8sJ4Hddh`Y<2~5sdIWBCmYSV+J2wmY%dYa68;2-rJXDiJLS2rpOJ+YIr(As8S`_1V zKQMcMMfrAI38JlgU}SW-zqfDn>8sbTUe3%euC1-EQ_?X3nwZ#m`T4g{jFm@6phMN_14@WMu1K7Zz41sL5WoW`@Vt zzhvYS*~vPGj=6k*c|1{WFfA*UUUk>0n`AOZ=TB?P@KHV{j+621(=@vqmYfHxYCvN# zO%15NmkUcDUOa!dMny$VPRFrr`&Kq)z%&O7?eg?sM_bqE^yhW*wNH~H-R(Fm1`YZ` zZ-0OPz|hFp_>-4&%j;yT%U{W;=vmm<*_fyoUro+YF;YEDH$N3gSfwL-P;y7K^Qy=` z72Ydq-3Wip;E=DpkG2VMF>y)A9hTV6ci`l8S9eeU$fS(SjLh6(SaE(qRom#q5TR#s zotAo?jDbghe=9r3)~#%GP*`G4K~{WtcwAa$N zqLkq7^az_0(>{JwLB-&b?M-`E@4%p-;IPQ(*!ZNR#H8#>R4W=yc>Lzg^qVz025Jhr zt%8EwjO6c!YLY`kW8x#-b-13i^pJ_01}3M3SnBAS+269YyB81=5+0YHS6qeedGPq@ z^oNDz#regRwbiA$iSpBVs93F(?2ECY8O~dI&NyGtuu6nw1_xwVT@53n$Ly(4Ze`#X z+jm4m&)}qi@ikX>`>WP>d_3*1Tyypd4vkJLE-lE)E`cL(1CL+Mku!5JeCQ}m3$u~s zSf8C7L?oQw!6xq%nLosJ^vvPs(hjfOY93JTQrA_MRWY`_(`H4qGe!nnS6HVi}UtNu^tSqLst~l>o5^Y{^4jOv1$RjtJR&D8 zr)_XdLsLgv$KbSq?um0}kL#Xw4oS*`l~*IMeN$wNbdxzJ=tfX=y=2UDv9H(QU!K2| z3o8JBEVu1`ii;nUf6y6$#{!ODh4^UZDY+!nFS>`N!K$n4TDtms2>7mEe5Loc6z(vl z~4znm!Z ziXD5qH2<(VHl(dFe0Pm{^;0Dbov>jvdYXcf?#t6@3Jxwdc7feuAWG=AD4Q5r$K{2Z zyX93E7gW_(H;ue~Txz}ZE6P?jup$_DFgqnQ9p$g)18=JD|GYvYq;kx}H6$vpvp-5n z3rEeq+R{w6OIq>V{m{6~g4~>vN?2||X{Ix8>Tr68ps8idqf@$!fsHB^-~_6iD1E3c{>{P@IICipcQ^LS1(t;l}; zI{{wzLXuJv6B1+m&hWjewnxLT(xKHIqqE?VL&wI$$G?3G?dQcRvkX<`ey4P=ofH)9 z!HPz)DqgazksTk%X}Bcz2ybIr+kQ1Pz%MZ?$T7OCFe$4vKQ*VaI@^IU*6j2_y7miU zESATMVY!n+hxQyk-YvAOJP)Vg$HsQ?4dit$@n~Gu;iMALG&+A)TV&iY%FhC` zWK{WyLr`pww2YjhoZL}O*#n2gFl&6f_wMFj%XMyHq#B#0EK%hU$);6^4+~sszhd!b z_ciB}LSIK;tkCf*7??T*1ztbr;%&l>-s_bYzxcE$kxfkX+MU4k(lU74$jHExFBH_& zbSxZO1w=)6?-mde|NQa!wtF8%czf=J_E2#0Ff34ViwitIrbof%ncv)me8VMiSWV;D zNqxQ3CWa=aO0pFMKTa)c7FnOE@x-%K z(pyHR`L&F+1fKRWG5T^-KEjY2__+Dz!r|?YW)>+ZX&AwbjeYC3?K_3V_DUaC*Hx2~ zm6lczZBm+}KKgLy93RXfzoxgd1U-dUON&H|)AQ}xCnKw(ck05Gipu`@j1BdqQlaV_tBd4sYs&o3R$+@$qPl0CZiq)3G zFM2Jslu3S8);g~w1O^2M1O^8NhXn-&d3*U>-n)a0Q$bI|#3Rt#-q9y0 z@G{>HElsvta}CtY^nyhrXWO|-S_`8Ri%QF~6nHPN2vgo@PV4$W$1bp6?bJE5tJkb< z-g3Bo*VWnG-PP6E@wT($Eyp`vzP|o}K>@y=?yfg1t;~+8?i%wp;HObOCS_>nI(o#; z%O5}p35$q~jE;_qj*W?q0iO{Op+VuEduBhWC>t6p%NpKvws-dPvQQH_sDH^zD?REx zvo!d*V=uQoT}RV$Vy_9QpR!9;V-Y!+uRF}T=jh2xR@OINJbe6vL&L%&B7y3#(9mGe zR{tPy9|akRiVO?zc6YjU%i`?W!{n3C+TZbuOCHfO4~S1lOiD^gO-V{lNl8slOHE5n zPD%i%fQIYhf{Lamlr>JCIAiPO=i}pGVXGshddfS_&GfRijIN!htzAgi>F&b!ncR_h zPC`mZern=ViDTz19o^i$1H+=?5>rz%vNAKXGSia5EFdX9EoE? z&ELn--Nh{}&RGA#)u@7;%&fHJl(=Aj|JdTn%IvU!GmPXktX$OWlB(8TzJP_O_@vbA zyrQy7IFO3c;-dWQoE(5GE2p3^KQA{oJ0mSAJ|Z~S&)dr@B=)}C4xON+q|Ac++`_7w z>S}mZRb@q4X<2DWQDH$2Xbzw&Db~-~?T)Rl`$dCGj@G6(?^?NojjyUOLrd@Al+4up zs@jU|l=Rg2_%wKJQh1=%F+*238~=!q=(q&%Gi|wru!`DxL^BeNLN?XcRacakm6a3~ z6~VwetgIAPRFIdEk`Nsg9ugKAlU?M$_h>>D3TxV6&_PjamPL-J|?%gq!3nzZmzDWt82ob8|sRp zd;(K5(+Y}8UAc zIeA4jMeYhWN)hlTY#SEahC;TW!S7Hb8tXy%a#%?b@LYCoeo9D4uzyfyPElrhaambT zh;Mj&K|w`Vnz46iOg^ltrVfE6pqr5mO--oIE_7uUBv7K%0 zom~TcZRpbUvL1vrS^Jv}|duCA``Ebs%~s)C@U?mZO6Bx(4Acb zOhIa4SqCOCt{zrVU0dJK+JYtYJ;cM2-Cf;8!r&007gtf+ioX5*}SVBh|z8wpquNC0Nwzv0=^`Njl1O0tno$alJ(OzI}qz~ri zQ&e4zXay?qT|NE11HHJ;zTRHQY6q}E=*0DOG+=v(y*+&cy@NwTLtvTJ2c(xsBm&@& z3!#fHd>6jGqa6=os{;TbbP~FHdI;?uL;?uqoGcun30{LG;5$G*WQl;s_YnKWN82zx z1AT);Ol2_~)85jAZ0p7pmv#1ccVJrq%iTanUr$>*p^HH5Zbzfqa2*}B)%c#aP9jL} z9~v4N8Xg%M92fwI0ODTAdBk3T98Ul&b#!#Lw_)2l+S;+L02;Qf4Iu08A`Vpgr?fWY z=9JddV>$?3021J{8-zel-yi`;?Cl>M9B3?tBT$XCWyJ_&)8Ir;dpn>XPw0iz_YVN) z^!DIUwM_tJU0y97#1n*OU~u%ogE0uy&=4TG59kAL5I3O3ot^C+9c^u3EC5?eAkdL5 z7~mHy4ls;PPp-z)m6q2xmDhpb0wp^;+du`-Q$c(Bfr_5t)>3#g5>c0(P@DyO`mCo1 zY9P=IyaM_Txa=bK;F}ve38)fSOLGh8Q@F0N@rm)#vGK9t;gR7%(4>L>{$2pQx4R4Y z2Y9Isu+xTZ#h^jIZfPfQM*vA6k_HEd2KqqP19d^K0+>2Gz#s$qKB~DHg$7R+6uJ?S9MjU& z*wNhD3I=s#1E8T5>X*R3&_IC$9>rqYyKv?CC56SXti<@r!G{lq2l~1J1YjM)Lj)rX z2#x+ed>a@AfnWND#>OA^6A;C9#8HTx;o-qy5J$tKz;_TR5KW+;L5}OdLA@SC5DJZG zLNqluqw5h_j@hUx1O@|!otnmmhWe@+G&EMU10b#F7F0`peKS}x79@h*jP#`B3^)-4 z=R$qXX9p7(ybN8=4ww8{qYowdGdsP3@TGMsQz`sI4rkK;Qs!&IDDWET4RYNe*!}76g~mwG#af{!RYP@kMOkHWRRyd*O35g(y}Pllx(b0P zFUo^qNIZfvq-P#@nw1xq*5@bX=A>ok@=qE%FmSA)RgU_aPgH8@`Ogwou zHTC52i^tuafH5!}4uT;JAQ~7R1TWyPp@AW2NCMFZhQ+oH90r3#A{xMPGz?ZyP@G!^ zvtOhL?IO0K>)@q%`8hCb2d=%f6@_T10du1A@{*F${H&(-`UXTq^!w;uEEqqyAS(tk}fX4TMApv@b^^rO|G#G--z5agC&HDTL zd%$2pXm7)`;?U^E`ufT$SP?8cKR=_mG-4M;0It6uT~?fzomBxC#G=ti=vfaYQN<;B z1%*lQzLq9JYk5XKhBz=-mDASO0ml1w@X!MVkw_4TU;wGFM`C+ke4(TR+s7-bYhRyX zFd*Q;@Cw`tIuq#QU{C`CFz5l@fE~av=w)r7NuXzgIY>FY4B!D?NXu#nK_5ho4`OO7 zGvhPsKd zY^bZNswyoh%*jd0$OtP68`ST8NI=7j(lRR0STsP4YHV(*Z-7^o7Z&DbWhE7~c0YKI zO-XBL!?bl_F&%AS=7+_gnj1ijRh5?(7Z&E_=H(Z{2w%Y#>GIt4vqh1pje4CLdbSs#1fF}e7%!be)zZPCu3S5x|ejp+tHvejy=YzoxM0RQk zc)X&UQOyVxs0wC6l~pAL*%=urNg3sXvt7ad+EEb)a*C2~~AfB}t&!eN|O;ZEYQxjR9+N{Hna21$9IzxV-KFboO&@eT9sK+0ZrWt3JQy$ z1q}EsfEE||1;w!P%1W^DLIMe(6c>Z^%fqQ0ZV5mXVQ~nwFN57!MYF$*Jj?S=qU{c>o?*VP$7# zW~PAuN0XEk9TVmg;%^mJ39m<#z^Y10igH1Tf}GsktlT_ERYqiZct~h?WNd6)3Rpd5 zW~3!1CPM<2bg9XS@v$*cVIe_*{=Qybo?hPm5phY0QT|>5(OI<}xWd@v?6l<6q=bZo zB&cX~GyonE1_WBNMn%QO#exMQ$cT*sE7(Yo78Vj7=pE#38&OnTRa2Oootl~g^5cLN zP&qapT*Z0abH97n(*wp^s`HrK5vx}31 zy`Al~i+3|- zmL-Py`v(Dl9>AuJrPWmnt7})TT9{psKCpk^KIy{>>bklbN^-JtatC*diHh%6(9qV_ zR990|RaR0wA}=p@SWaGE{)n>r(W9E0>gq=|j~&-hKW1uaZE1Pq<`t96PIvFPIy>EV zu(h$gdhP0^i@WiQ&~+-Q9`r*;w_$&=82P+deW(3I_2e06O z32c4|35$qHNJ#G4bKtOog0hCLp593l1NlS8EiRdyJ8yF4%xS}u1_lNv^mVl~j;boF zsHrH*$;ikal0GB{nyRR(uA-oQ>JX#o-EilV`X^2r>8mOq*(WI>w1aOuH}_T!4$du{ zk4M1V06d4mybR2Ek?@L|8dyPTEeeN2)>hRtxAl#`n4X!Lc{%<1(;7HV1xH!zTS(AE z0IGcl56Q~QA3CglR9;5;sG6#ps*<7tM5hd3eeZ5DVF3X_aDdCVV;k=_enBA-G0FW3 zhv*+{y?pzmjIzX$0{r-%Fj+qw?%lboVu2ZoV=pUZt>l+ zCvF0~-k_WK1%$?D6_ho$fd%BFClgO+<`&n%i6kR9AZ26%=e1nGJ~&logN};9aqr6F z;?lzG%&XTklP{*<&d$!xlT%SrF|*UIGYJSVlda4?Xm2cx3%+Nrt*#3G{hX1Gs)m-j zVp3#MvWp0-lAVWNbaqKaeQW=-cXJ=-mp{K-pl739T%cm%5t5MFd+@-X{fb)p##ZhD z5%DP*IeEF+d9Yec@A%W_)9>fMF3*2iB7-2zf0&vW=?6=&o<3q{JE6C)2M?CdSUfa! z8ySE6^u^5U7hr#SZEB#qwK6l--$F%%oqB!l#pEI-*{l9`R2hF)8j+6v^Cu4Q@9iuC zv&*vlO!ZA{12Pd^L}XrMNJ3U&-M}0L4Gk3~9UC{F_z}G`7j5qN1O)hb-?6iC^o>Z) zt3r46fq6Wky%pI|Q&EzW6z1jR=;Gpd%Pk-(8Mq-THZ3K zq>wuoPpIsoo@mLs#74GFoPWn&bv0FO&9Myg7{zS`9M{FTow2W$W=H#}4jJj~qWVI` zDRIKZ_tvQ^3C)O5!G5~4u~mf0RT@TCZb4Bo5fRZ{J9q5dB_<-FW*rb6pPZH&9~R(y z@7gh037+}poZ5#ARLnah56CDRSlHiox@lwM=-~_8ospfLotK{$azjUwd9tM>SiC3^ zAHMSDk$5ppT0tU;j_Fm+zyic{3;|Fl&@qQssn^juhi7Vr{gs5Ia>Zw+F?| z$T*^ucRqT2iGiJyi+`_zvg~g0gX;SFTAG?l!XG0CL_WV5NqQQDqT(>`rl(!mVG-c4 zkBLu`%ILVZnvD2P;e*O5GTUF;E9>8rjDLi?P>h2am`X^`%pcL-$18C)AwPV7=1Jn7 z)B4H=PIpwnxAX$@BYD}G&fmFhEYv>a!e3#jMscZkaf!I^Qpl4!iqWD0G*T>;9_qr~~(-LLIcKSmq6F)o~@uha?It z&5-2ai|NCx2Q<}$9%^n`UMb?rpJnCUzMW4@riLfz6YE~}^{H{QowOC3YBc#H227~8IK5&ZC(iILH1BLiJc4IKj$Gjr3^`f4(gLi_@vQu`!$$#B63#>3BR zN^g6e?-SL{Dy@EGYYPL+tK~hj&|y_MZsJ}lxzKu=^MzA1 znzr)ode#xfh;5=D7Sekzb1%E|Q)F^pc^#s$rZgupBEakJZTsuj%uj0_5@aP`Am`k3 z%*w+*2%2{U2L<|pTqhSdk9)3mmyC2Zj%w>098(mbLOCqyqz{-^J)Xh^tf4ZVwBHST z7)xfD^IpX0URZ3T_j!qh>XaI?Bkn0>RYmdM*KNFFvU6iBSniH0`A8H!d{nAx@4HAi zUAZExe!<=o95e)mMkl6af>~)oba*hBdHHy`IoVp6UogLV)6F+HB03fbG+hk?nP4j8 zdDqF#%EIEBwe9sQr{sC2Q};)6={iv-OpvYgg{@lTRGeXH5OyvYTIUdw+P_zH8`Jum z=To1k*tYH5!M@U!pgn1v!XC-zk6Gdr7UQGF*?*|fp0#adQMl$C5gQj379JiEosgDW zTmi4Csje(7%t;4Nk%%yGE)f-*n3|cLn+JyCjMQXkLq9weIwo;-u(@J(&e%{-T}Fgu zrrK?*uk2QHQ=zDdS#6(GH~>;Wt-tXDv$*#4z@(x&455GY$;<*ZhtMJIvzGP_)@M}& zzE)p)SpQj@zfZV_`Q3mpFoz6-4n&|m_cUNTA56@POG?Wt z;b5_k1iw?)ifKV2YO4TDu-gtH3JZZK^!9MIw>*DbdCzv*sphzge4R!<{Ev7gB>3oO zkO^0I=B|>*P@m0vFM25kG0h-!`jTJPQh%k#d+J$E;^ zyI|hv>f(Ic@s`8Q8@4uJu4{4S(xr<)E?vHI)zaDqIwHL7a>wnS$9+#PF#Yuo|34;R zQ~h80{}BV2zmfm-X8aA7Z&`nXX`{#w1vYE_O(jwmso0N&{(u6uV_U#h(%;JO^ncU( ztIEHtvjOI3JU_xAVfs5zzft}x96z=DuQmUy^j+R&A_)f?$OfWs@4vJICH|!Scjf*H z;)j&)s%@tK2?vcHzSj@!QhqPLu>Chln>9&zAP~?6 z_<$g&s(|Ab(gg%(6XD;e`VrI*ZT*(@_ssrPcMF>2iIxoz-@QZL0zv&>CJAcRpM-xG zbr9<$6QGCuGrEmJ=uJ|7K&6aED=Cw@*k7CRtCUSN8x^4QNJyYwy3tS38?=K?0)hLL zf=$$*Cy@f?XHkKaZN${?YX6u{az9Bn*g&I5s+Efez6GtUw1I{MPLA42?iNG(7&{_umD;H#o@OqX8{e`Ar;<+Cswf z9T@2H=U5`$E0c_E$S!{uarGoeh5e1VqvYsot#j8#E+D5WA$o8oB}<7@&eGtEecE zMy@}wL1~~1e2?U3wSV4k0s;{JWc(Li`c~mb_idN}rZ&C!9gIytK&cWMB5(uF?{WN* zqpCs*M{xZ94bWdg<{z}EA^|l(kU+r?ULq-kz>wr0w0uVq;G8sxAPt(JvH!7v)`L2# zXu#8VfB@y7bN>z5zqRwN3IE)T-!${P<|}_g)IxF+c>UJw-(>tVlE10^Qx=E-K-7Qk zr~kTze@p($z`qRq%fP=3{L8?<4E)Q$zYP4ZGVuRthWWpW@V{Y99ms#9`bO3NIffuO z|HttBx7i`Bh5wa*8Tglhe;N3hfz7>s$w8Cd&8>MxUiDo8T_4T>^! z1hRPy@@riG38-J1|GUJWO@i+efbVI7uV$f?05V86N^E|7EB@{F?^J)w+oVN{&+jM{I0H}yNH(xToNXxGY|6KrO%lN&6(m6MMtM?8zX?c(4itVVn-%{szX59V z_74ptazN`)q^4k!g$0u?9OB5gUhv_MJU?ta*)-?-U?1s#Erz9{_nvS}A0 zY{LjRBK-mX1{*5BF!a5--)8@r0dYx^O-4vpB&xsjB9u>J1)TbAGz9Sf4Nx;k{pN<> z8~pL`;E8o~bH9=lcB2oUQmw&kV#ws{rfiOS<*o6xJ*1~_30kMNpR)p+BszC^Y zupk-zrslgF=<<({A*FA$<$nsy<}o33)CU;f34m7C!L`Ab=;X~Th}yq_v>mjBb6e<|^I*8Y<`lBFNz*VVt3`E~BUsejAB{{!IQ z&WCtj%$tQfB#Qg?)#_NyoY7XtGWy72b*zrn934l;YF3R{ZLHBNMlGXPvpSAZ!>YlG zQLAIc`+fh5-~BJ#*L^+pc~(~bZ|SlOZ_Wqjzr$C<+OuWfHZ|LD4sY2#+|XoHFtv6+ z@ue`_UWXm&NVbAwLI3ubJnY3VkcuYuKISji%Jw|D3P1fyze3U&yp=pl=-av^ppMU&JUd`O&!i~xi%7|s^*ZbHwC$A*7M(Z z`Zj|&WbW7yr;&zTSIK?s>l&p5xmF=kJDs4mmoo41g1W3lW`VY`4G})PJ{CNN>=2QA zXfUqRF%BZUv{pfb#%ow00>)~v+r?-YiFnw$hXaLD&R727)}lNd3d%V*nN)f;M|EuDJK zm{gjnAz(*-d}+og#s%#NvYP6B14{~F%1Q^9MES6GQaNFd$%ug?sav%(NVM&7-IcW% zWvhH(YH-{i7BO#@j3$;Y^0)z-1ps?5)A{9vj+NDZy_0THR%Y164O+7guX;s6`J*1& zd-#t=j*2u~?8f&&kvM|X9YR6t-i;yYZeCCySrtG2G*gC_^9=NYVP4h>8F3l!ASPH+ zjt`2reSK`3+oSz6g0CLnXCogiW)!QBewcsR8wty>0;3}hIlI^D zKV{jP27?44yt+^$Uyye+Ijt_<4&KyWI-?F~L9DdkEDW2+$|m04fs7C-AToIJe3P57 zi-lXNlSUSn)6B@k+nJqDX)lX%DXykpuErIJmcg&Blx*8E7jqG_SipC-KjKzfiEYEB zH(iid3rRPp^~>)q(6FO7HAMbfn7wF z+l_AxUUoZ7?ntSY?+egtF%GjLjF=3!_rk+g$rDgR|Mx`1mEjMc2(O|^vbK-+@}f*H zD{w;uN+J;Xx7EY6`w}4yHrJ`VI{Q4h`WlHkBkUP6?qaP3RtJHDRZ9m~XfO{C@e{%2 zqh8DEy@MT=bt%hqLQrbT-sSAgYL5!7SKC88Y`|j)1_T1=Jll|GoB=oOR(ABYnp3^Sp zLGBK^;w>GJLCll)xpGEl6RsM|O-X?&6}GapI&4j1yA*K-1P^L;)q$n}8x7rO#waAg z5n&!>=R_z9j-1O)HB2tq%h1y*Doz!$=VUm_$|xoA-iV#mN)^MU(YB)?XPR4d7M<_p z3JG*O*BmIT^p@F>=S)&|OMil>x+b5DLquSwafBFVZmsdP*xVMQ6%siGz3JHe&}bv< z8ZPDl3{2WfaeiUl-_6z*xMja|;MZW*U*Q0UZElNZ)lptM_7a_?+2J!2s;FVBMZFHx z5jw+~ClR~XNw`Vx8%jXkJ4+@mjwKtk@nE`~Dm?Wa3t;yV3$>Ji!TogRGt3QFA*1KQ z5Vpy6{M`pTk99va{%Nn;(0(`zWs}c76D0@FHVvOjQ6^n`l9ghi3tCpU^t|V(EX+7a zQQA&j*M?X^t>o5kWf*r_JFgSbb6@`wyiTaNOQ(MzL4wzb1KLcV5mbubQnG#D*OLE4 z5#V*Ku}WK%ENkE{;8j@yYP_1+56XrkeE&A2E{?o2%ehFBfjQ}(9~Xn^Lo`+*jzlY( zj3hDfq8OU___T5pr3M|@7@q*p&Ow?;XIx}&QY zi@Cd4rqn_Tadrt+=scI{FJzKSln#*;s}<$7Z?n8$%a4sZIY&4z;A}s-BrXL)=)*^P z%ebY6E;oRXMka@t3D2yol`e#|-lMb)^&XbVixtWgJZ#>4KzndfUsXMg_usLnPwx$Z1y@~(;_YOS# ztYK9I;#CsfP<%kJhn9%Xs4-dR?onT}@T643ZI4~GKi$+FEWY4Ag~_W<05iKI=eENA zLE+iU-c2CF9e;@0V92}&(WRXZ(`gT#V^9*hAzg@_!Hkvy@!|{Q@od(MZ79cg7QWmX zEw>ryJfv$pZIsWb#?lb1iSdI!JJ>G9jXLH878sjU190WM)5U`m`u{ztja^zGeV)Ya z8}N|`sM)y<(BZ4HaOy5~>oFx&?xd8s!qu_TN_PcOClhC7By~(dHp);01P)Mt=eWFT zcN`A^t1_CFrfkLW&@p6Y6my!)Q=WNneTn;aR-3*F$aP+DjfXBdx0}G_ra(feFA+*E zZ+X|@c)aG-q4EHo3U{Hrb(|$5+#pFdZ;co$`!DID@D^=JnMu@+Zw|_#bJi;c8aB5! zWGp5ktyfr0^rI0IkJ0)gPI0N3r{knsrl(lR+!iwd;@{1wMRhNsY_gVBJuXy6lvUxo zmOt$r__I38fw zt=Q9ofR1+iFds-e;9+k~niV|LOKD-JvyZ0p;k=aX!ia`Eu{r-sTE03|TInYLeYE=X{vg2*0OHik*A>8VLQy$5VM9b%_ z`vFFK#*KH{Tb}Q=ua3@(?EoeiVa#bUW|WKbxxCai?$WIq57i3rQy8thz$%x-0ZZK} z_cJSlr(DchtYmzjM06R8SPKSqFq@_+MIj0u_2!)MqoYnHAYe)yy#!J(=?rM^RNggl zI;e3n&ly=R9ns=_2ThDz2!e!2N z(IWR@S@2c?j*DAqo*n!0DlSIdKDGZjq=f0pE0bChxyN0;sSy+vytkZ;&^nc6;Avv^ zT;lASq!S0f##>U}qGKn(05|3K$N$GPDxU6j*=qx*kj&?N$`Q6=Ln{FN<~rg(1;r{?*hAlWp5 zlM5r9jGB(*YBKta@>;Dj(t$mtJg{ua<DciBVPJ-&5SQoSN6B`r{7l=s4 zGKZh{pu!V89odynGTOMvQuKWe78XsWTPPwMz(yhILC@dz?-=@RxD(gd(Pcwwc0B_ETb#usIgmrvD#-=Q5V z*kpm=0SjYu@E3;~i)e`G%q82pS*ZlFap1s~E9Es6j8Jt_`m)9n%}TQx3Is!-^x0}^ z0vn9TVp)#kB7uXyG>%`YzZp$`E^pnd8GfA_5Bt4+gwShX9v(1b4g zT1HaCA5J_@SD6u!g4o@@3otNPXB%9%6rc4RIuq1ZtbLKcyUI_#MbAHi3CBc&(kl6Q zP{sK}`3S(U;GV|t)Q))L&xNMQAFZRiQ5Qt!RU;VNYY4^O^2uFIec@$#t{q?n=q5ynHP|B+HB zeL`aNt`#9^9G>scFsxO9Q>nCfG~2;zL2y25eN44Wl57(nrMGbp$)}{EA@Szm*4q&1 zNR1~n9!i+hR17ij+k&_+XD2@$z?XF+sQ+U>}S+yj~4)$fbE7~Zx8|)>}3|T5T%w~>a~DGtgz2P?{h|KC~p7~Eu#O+ zq$PX^i+GV5?CAVlP5|&LVj#MipeCJR)_N-TuzP$sxb0jRv}7!N*RaSE6}qHD$}$Sf z8EkfWY~U=}gkL>9gRvv_b>JSpJ8cp~Te7d0s(+=!B8-kqj4yR7PlOl=)ROynscJxFy3Fk;T()WZ-dOQc=9C79QR^ zMZ!qVv`yW9r2l*^7IGKh?f}+}hBC2j%^xCY3w9jFne$Z3gM_K5wf&i$iZa)laVC<4 zmj?Rsuj_{-j~&YiOg17}dRec#qqdJ5wC8vPHVp)KP8)C(o8m=@+|sAEgvCL>qf^|kh*2oifb=(=_9cHWa?nd>=mC$h`GX+OtUYPloVDu@Nh&7DrKBl zSDjrQD=|a*;?1`jy@Dre_GT6UQ&DrKcPJ14?a~4I!cMM1;YUsn2(90(<}%y1>oC4= zwdo;F3g*sK)pA}jZa^=np&oP);GoVdYS7>S<&k|(-jucXU0Y*xbc7ek-sXs;XEP0I zH#A`w6V?U^P1B*`bR|IZMj9A#vSeiLw?o#nWKTY2$vJ< zd5bAU&Y<>E%ZOPz z`OX!bQN`^Vdq*39YN4Y+$C(-np;B{gl?pUrTPekU)Qf#z?VNm<5hI=MRc}Wlk{La}wZW1_ z95}$Iq>LfIMk(P24Qss|kfM67m24=QSF^m(M=X5j!wjIzSx)S@{Ox|mdQZ=AR9*vt z@WkDSg^-Idj5^|x?`(CtPA^X{Q9ZD`Rb#eq_QkO)kl85KmVaY=)-Q<8e;HJ!Gn8jm zPSKed0k%9T9_0*+nZKRo6^V_Nld4BmYTSeSqz{W7FMReYffZEm}~_jAJb{0ms|Drb^4giNcg_#ip)@tiZvdNolM!H zwvn`@xbc{tHgG3c7npx{Bbvp$K}xtZJizCX*ygo<)L?qc%DA2slypOe=)JkgxFCE| zbn!ST2?ZC5$a~z#cZg1hA@tJE8RK7G$Pnaih*L79FdQ~B`ZQ9GPMgxiEn*z*3BlwsNjR@DUo4YluF4S3NR?qdxD8^kRnRu)N%JBVg0i^9 zYO2&vU?=4#M!K!nCW;C&A4d^I)*tD``K*RzTWGR}VyT~~v=rLH=8Wr8A#vX9mxL9g zTQ;5&0&#Fxp!_zrADx1P-3bl^0HJ$cp@}%3vF&Q2!ODD23aXu0Uqm3DyvXr`%4B>+ z^J)`3>2QS#*qz-Zly=B$fy{#Zw4f(OeOrL?mF^|#ZfLGaDv!K>bJRzMM%VV>$wo{g z-bbu&($z7P7vnXGwfF4mDpVu4v&uqGWgLOcrkMe@S`@HujWsH6p4Tn#zxObvFX^6IFbB3e3(+d;*cWNyjWT68U<4R> zE~`#$8Qq%n40xvymd#SI$=-{zHHcqF`O0jQa)NYXx z6^tKL0hY5g;ho>Dzn#?9JaUejatw~H^*uHBo!3|*oo32v91vbIb9Kz-(MR2Pj}+Bl zqMgHn{71c3kj!IYiD_poyhnZ_0j=w%2YS&_)DY|DgZ8rUio5kz%8GJ=VNPw6h?Qjx zLSr?Sf|0KFYw&bI2j1M2+mWgcrEgMcoGk`QWkPo9@wi%vjibZQ)^op2{2R0&>9mQ}1oFed3Gj~A%7;-FW$UQ{kMYfDL>G*y7bNdC+t z>oQEf7Lrv*yv~Z(F@)PvcQPRdipO)t5Al+>t#=+9E$5L7xFk=o)o#;DR3v=jKaWlA zhHgDc(v8<2F^3X{obzTl9uJpAcJz*qO|+f>9c`%PqV!gI_VeRH&(+t0UZDLK+vpaI z4m{bb&2r_DA^1jiB92Z)F|s9H%&$gm4HkbJm7MSP;0~YARpw4__J~K0R(10PKwC#+ zT*t3F3Pdc95=$3*E@RL2w6l{KcX1sGjPIA&D=!Lm;OJ#TX?!$Ar-XmTefHMr?eO!6 zl0AM5m#MC0Zuf+YZ~B2T_Y##3S5tdKG@aa4ojKWQkXFQq%X3DP{_Ik=r;3o)YW$*j zCRXH4vETnzYC_HBT#K?y+D?A*^F_R+uB7o=@+EAKmq^*19@b!Y!pnL*tVH03vYSSk z5D0o;cqpR{gE*ogedm(3X)7rXo+yA~uLl(!U7cF)@J>bIm2lSt7Oy4RwJDt}1_PC` zo$$kH?>WgfUr{?rwcOS{+@{l1b;B9Fs($jbN?4xk@m}^Mm#P~9_=0j7&tU^29-SgS zGp%jldSX4^*wPN*@)WkFx`byWekTb|Fn_v9L{4x^(nxCYMIivYO8->g*)e<%YNUXy zo2RED8)IUO-TR;SCnHl61O+7pbaxS#cuIoi#MU&@hxYAMoR7J*dQnl0)RF15)FIS# znP8Ko8})uC#qyfrq22*X+lbNw|Esmj4)fOnA*ZEoD*hTXPwpq3n#nyRR$vN>kX(49 zBJ$`?C`xJl5r@N|HNTxkKY$4Jh|4V3jRO)pTzpEuNttdm0M(}~#S`dE;uhhQiae4QXNk_<^|kRCsleH%+C@n>N@K{j%ED7_QT&MqdNksel@P)Lh~XLsq@+^*R=iyuF4KH4<@*u|8i zfgW<%)3AXQ7fH0XuC~L4_Z5(>!lMcU-JWuyBAumUrc)A6QSj&W_!S8w`lVTB%GK3u zSlRQOuoZjg8XqpyF&j{Dl*LJrSbjrR?A0${Iygv@V`CP&uyhZkS=4DKl}0m^dZbaY zBtgR@yre4G*TwoW4i)*@fN0HV*-%PTl!)_TxkHI<$nmp@V3-6pr3Ux?nn-OvI7F(C zLruVsSOYJ*oqzt|R>M-!T+H251@$OV7+Fgcm|VPY$J{n-eH}P%Z&E6)n8rVbN>g19 zwn*-~w-RJ_Kl3bC>d|?!qt<^3%Fo5;9rushSIT9>YFS2WD?)`~l^W}8*=NpV#t32@) zce*byfn8e!1Mfss%7GxC-LgGQMhg3G0xTIGKwv2r-D0@lB znY48k^s>?N#aHcv9;!Z(V~uK71^1tSm`I&)9JyQ;$aVz6Nc9%`N?3Q)d@j2xmc?Tg z1WQxUvFF5i7Q=*Uuej3UUXzM$rbhHA$j6zTHOyDqYz+|cCb^W1|Kw1i^dIA1HgFsy z-&tFdQ;iYY26lq1E&h{wStjN=`sCEBJ%a0dt5>@g7QNTd%Da zqWEw9CFd|%ol%OCt}0;-#y>o-D!RG#)B;%8mroLmrACESoXO_fBuWJ;h?h@E7~-Tl z^m|C+;e8|Sj*+YGn3&xTcL+3hFvs!?R#=jI>@m+d&Fre5?`^^Dui-cQZi|_paMyiI6UD!9v=my@Xx#m$MMo!hmsB@9BLwOH=&)DWR*w;jX}2Vb|0q< z(YXx^q0#O=LsHgGCO5z0gPmeXL&pWi=DNuvSU1(@XvvTKE@XHrjNxo$taF@a5E*cr zV_1IPj&%&nB*kevAZ4Uk*>4u}`O7Auq}mnTC3SHfCFln-S4$39{>XwG|gvkaEm=C?+$rkR$>8a_e2U-r%v$f)!OK$78HX8IwM}&5LIWZ$S`_bcj-NMNZ|Op zLly&*C38b_41)`b(FN09cu6Qmmz~^|Nqawe`*M!}$N=#=OrnA|;3IZV@=Lf6MKuMYd9OO9#1CvU(GrlsbcGo9* z-(}j`M0LkeP0tW1qvv*MX`9f5_Q|02uuQ7k`(5oruDCEX3rcf}yy_uiQ3&B-mHNCy zu~TgkM_49RBQaf3<5Egdx99ABJd@3dEfXL#j`Pf5CeE?m?4MgLI5YCxzf8((QPX)- zw8Oy2*nwmem%GV^fMEP=xx^c3K=rtZ&{!rL3s?jfUra*HhJ-n=#GiB<;YhQQ-1SIg zYyW8N+vwa_##)_;HaXnA)2pjFaXw>Jp3;`>g;5^vlXe7`7E~UX-8N0OHwh9h#tp=4 z9z9e-B8+8Ljs%BW$0)&6Y8)py?2W$Mks3_w@jELP_=Pm^bXXnHDF-q24E8$Z9;fs` zEa5)^X&YQEo1JXW{LP2!Dc6BZHi|fKE<^&ustbWh-;{T>{*j=$`A{KBuYVO9Rt=w` zd_)ctxLn*2x!!mpLM#NQrdIT~r+~Z?+LhVQchS0B%q#P%YzdywdRCAMJ*7UCc=jfAL~l5jxc zkWAoG+0Lrsqhpf8qZl@A$jz;%S1bUKE!=Jkaadh7ksMdl*mN1l*1e@pm`1YNsPc2< zYPvGSD2M)_Wkb$$CHTNr&v$$(m*6BJAevJD4llY(_EPVc;VwxoPNSflUQKSbNCv6a zF3AI?i(0Nedv9w+ni^V=LR=QkmW{PBGf#La%joDOv_iF!{f443A|Vr+gv}psr~z2R zj@C`lCCgXp_35Xmyv}Nab1jEZP7t0t$Ue6}uLeKLMhD_fuTAsRs#jF9YSSwha+4r5 zS8)THvVDwI_{L6lyuxh~Hn#mwvl+&HY-B^&j(fCtlDHiKJT#b6VcV7NKf(#Xq+krT zANFI&T3WoUZ23IPu1RPtR=9^js^1XzG;OHJDO3MJ@4_jTfcOGtT}M}}&H9k7E=aZN zY4_Aka%r}F|Hos@f}U=yDuLxe(%Ce4_qZw&sLl!8pLSM*(x=)VWD%m?fvW4m2(B%S9G*A1rWz|N$9`gd=402HYBXuCu9K9*%sa(yG3G z`Zd*Ex)y=w@V)1hl$?F*T=n3<+XYK70ogz*Gd*XosH)f`<8|+)-81GYiy3ttz*h-L zCfC_CG{UOtBk@uxfYESFLz*`xO^1bpxBIXTE68I+k2IJZ&UPDIONMpu1Kro$N0Q3P zF41+FQL|A&hJnG=!JV|T+8qjw|sjYqsZ6TD$c3))G@Tg_Ju-oA+CB|yr(|x%+#(S zm$xolApv#Hivqz_+!LlBJyT=lJ8Q>9DHvOHmPJ=5<pqrC6|VFz@W@5*6gZd`AsvWVjm7iqTk$E?d5wDt zB*0BcG(*T8<22WXDM!cTxwg%)kVq{CJbQY@C)X-e6qff5Zltx=m9Lf$X-lp=Z?4`s zH9juV)?-B_4WQ!V7hK4<;65QCLSm)4TH!L47gxK-6dyC-J9P38-=fP(>Fqt2!^*+<4DR z#tnx^MSJ80NkTF9;Ic3-rb@hdAXBZb~OgT{FzY}m5(59l4X#zzXvgIKQT)+cdx zDSIQQ#7~8Mv+FYf=R$opQ`;M?lm79wYj;<-3jr%9hP8Est>d)CG|Oqu2E9rei%@oD2O%BtkCiyadFACvt5F+um=hKw-#jlKQ+%J0PeJcg?3 z-A}1pvJ|owgBL`ksg$UMu1Cf3`|pa!nI9MuiPHf!3O~cB+VnATlwatwUYvU=jnjrt zh}or8_06p8-25Zc%UhQoc+FF0s64uv`~iA-HXzg{>IcN84w#I>;3_}bY;)LfhWu)gXHR$?bT zoGoyt@t@}TIK~%wV7cx>*czY+csQOP?);i!!8Px;5B`{w;Xr`^eR;9&68S2=RsP98 zz2O(POVv8Lgt6$0%u(%Ig z#Km3q-4(I$baj0_4`lrvKWa~Ci31zbXQNZ@EMW2L0~Q)vePJ5Sj27p9ecI_yT`Sxo z{!OAqaZGPg9YLg>Q2wpCp{}&3thTj(0Fk8qlFeKxwNjB%i<4n)1zDELTE84u_n@`a zx%v3|LV|tx@0d{h!%6Rup(_?{A&YYf*Nti8j5JYSCVG%KX{pX9cU&dfwCR7@-g}W!%1_lO z+9rPLxA~UE^|KS`|2SZgOYEr6yhjh%Q*nAu2z)se2-OU>1*^t>{QjQzo8IA4{#3eCbM>6`e z`b>lR4w-$6F8brb5>oTeD5`U9*FxLGDdrPBqMoSa!GO=XE~)-@E?D!!cOzv4)oiN2 z_0!GC-1N)`abtPah{9|;b*4Fu~GK>^9WWaM1 zEaUu&9Ki}IF5P4QBB0q6s6L*>jv8f`w$}ea%kYPskOuXWj_!aMNfyR+$`)z%3LHJc z3pjZ97lD0;#Lu4{^q6gwL>SXON;9Ny)wVd-VhU2j`-n*}#ee5GSWK!EHT{<;1FOj9 zziuTT2)|K~D@7m2W%#U*w7~MD;@)L|EkA|i(uMi{OQIL;Uo4+5ll$)e8ycH!ui;yf zBA)-87Q}@f=^rXYb@l$bR;U*hTHEMvUN!6$5;-$_(cc5h+x-1z5)66jEB}U^xU#)B z5|=qA`gW|A%ww_al)AM%Ne-Uf=e+-`i!g=_Hgn4p|Lm=Dm-(ab(E6tcF>U4tS5l)} zSEE8E&mhKs4cs)#Ct3)}vGu5aXZ*vH$C$+pFGtG=6+t0 zz|PN31~-Pawpy-Jbu~95BL4A_Ee}ZI_0j3h?z|-|eswD)-fbPeLHnD-@g1jus6$59 zumt(*ZH<35e?A(R*P*AGE194 zUY_ap3+KW7LCX$=64=Aba4u&_nD|S}OKR(riQeZ*iq|X#L|hK|qdO@dAMJ76{QJM;V&AHR_EnA) z6pWdZZaGKBz80tiZiR!7bz4D|y)Fpa0P#S#Zv$$T73O z9Kl)D<+`D^2^><0f| zEk;6!gI~4RBtoTS<1S#y%nS=2q7Fw)neAjXXzm>9S5(li;qpF2xI*;;AF-;>a!`8ZFMr({3xE!)LA`8 zQs(=G#d>+_xqaEtmeRZH!gK3Qv_snu9EIB#&ACY@vEOH*wKiOzLvGWvJWGF&|H(ET z`ZH(<_{|oeDXw=Ppd)q8oTwZu7b^pn{_MLxwp9LK_P^%& z7dmT)E4!~*O5EO0csdnVYqm*4?S(mui#t~v;<0y~IZ0TnWJ|XLK7mx!HEYrzLis+F z_`82-$Q&HkMkc3JLHXLwOK)(tET}{T|K8WJ_hu+D&d05Lbqc(7M}d-b>!AN5YCED| zlbHwAY!MNOyi#<${g*W`?2HBzto+(k<6zRqbnN{-wVtlE=A^tbjid5zg@y0?Es!J` z*yC!6PjEy;Jn4Uzl0_j1D@&*~*`6!m8a6p$HAKWWEr=kvyzxKZel~-*r6SnD0WWij zHQZFsRAxyCff>uUxVkgdOj2%_FMeRl|XQt>stYZf`%dP>BH?Ce)hh=D2nKUi2#|{K-5bDN}aLMhDaH=hueeo5ed>Um)8G~%! zS3-Jk3G!l-k2Mp%XZxdBKUTNtZNB^Y+OD~INoqDSg7jVl1`F{?d)6u{AO}s~al5~? z|EkAf-?*2dwWs||L{y!)D{&|pCAcxW)~_)ozfp*@a=3=p`3_Qaf)2L1eTU)w`KabI zzw}Kyp4~DjVAhEjZSmTrw$1VGtS4=e_S=2gJC5}DJJW(WDG95&2g21@+V-9id$w)JXuN*dhmQ+Ed7cx24xtyDzMg zWZRDh$&%~cxv3|HE1Sv(4gxN~Fj`?7h}(*16{ zO<&ISa^o`^)Vo8vs;WbI{-f=lZ>0MZZJTL}|BWzFioiBO8uA0MRf|d+J|$yf)Yk1Ltv~O+zW#PFJdms#6}E8{ zB=vL_#pZK{Dp36A$>-(vIaDs>@6UC7$bUpeD?S7hxx|QBzgy&!(6@Y{6-@5NNJM=A zZg+dNl}(Y-PMAk-#Be5Ek485{a=U;zoFjK}Q^YpKm42JFx=HoqNPH^>p-x}O+#4GG z(5JB!S9SG>Yyabql*6;F;iTQII-D1;^>`l}NaV<6K?kdA-dz5Q0Lb=Ck-E}BIGR;H z?LZg?o!0S`=fQCN8hS#1(9CgKB9X(8bDF7e485vd(_G84wzH&AyYK}DgfE}NtM`}F zea=^=i1Wkk9%8Axx6_aAV-3}R=Tcls9qpmnS&TlCf14-PjX<_^(PnVILcL>*Qv_CD zMPc4NGRnQoW<4tX#p8H<^}AjLR6ll5Gb&cA~ z|A|PKJ355$>&Nl-vd_!E{vCKfpL6}ul0t=x0n8+@qBh*79_3`5bK~-sB{iYVOWuMd z9U}fg9qB~)`wKGOTOf^ksdyDqKhOBu{7dP0RxrIPi>>|zt@OvpOQVljVK~5B7+^kS zI5yf1%z{TSdhx`?R~=TyLsQ1&^LdbMyTdDV>ve!7guaI;(kFGOu1;dX;GL&yy0kMc ztETXwXZ>6-&+k9WdnQ)tmtraMAF#>`pT`^G%Z(g?{h!NBDn*|+5(fAAH6KCZ8e?$q zCRlZOJaY%vmTpPy+ux6Shz{RNgNJ>({BNkF0iU;f)UodhiDYrV*f%DQ_B`$VNhSjq ze!7Wa&6^-NV6SDYR94t{qB8Gy|0-wh$3^ z&10-^8fE=C;WXw?IG8ZE80>*Ym!d{w8mhil=UN~!FZ(jsoHAlXK<1mi;cB2*3HdJM zcgCwZ47T0Hy1A3t-;LUvX|ER@=@`oMOA?d2aIps83gF=PV|S7^H+=#5r6{y&13^yY zFzS|H`JcX~ga?>v>B+6?hY2a!lgg9G;Ei9&L2zC(C>%0`iumz0QRS<1o>yei!5h5L&g92vRrE#*BiSqD zZ=;?udG{(7FA4#VA9(D&!CLQrILfMRvf{|H0wrqVXN1Fyr!!ZS{3%u|nX}Bj+9VF! zlsQ))s(UOf>>IvGTiqRR3Wy5mgszEvDal;y$nD}Exne$nxu;py zxD=L=ulIS8@$1xYr$`PIVx`}G-5xr%quX?%k5n73$k#Bkj$~_YR!aD=lg!c{ly)%#|VJbVRHXQ)-=FK83W>DOYmkWGy`Qn2a1#^QeO=LIz6Zwsu9F z+CM&`0FXd$zfP|^?!kU(rH}kwl|PKz_G}s10ii}OAGqgNw`*r!az1djM$Ux}@E65f zWa+vje9kZ}$ElbTupieQ$n*2*`%lKVw)48K(pm@gNW`p z0Fd#wy^zQPku>dM!WBJ|n}QTXw}X+=n^Z5=8lljHZl9}7Vzskz#woVZhYhlb2H zz~;pvf2O{3BmPlz=nh6nlD`p_I$Vz{BEy28X^ShC%w=ujFfh_9Ow1eah>^HLBR%{Q zjV3WPOZIP{Tqr{9Lb_0Z3O6P)VjFY>B3`t(YHNsW05%^vgfw9@dH*~!EFWgA*fe*{ zJv;d<$99Pk6!3kUl=AN{Ul8IY;KJkjeE_6POo46A@gHNRf30H+7k#|Gesn}m?>hXQ zn_Cc7JeXS=QS;4bz?DpWHm8(S;=($Ea(M4b`oFT0m3!wb6ZN5zn*)cUddq`-2BCHX!jfyt|#|eL3Xc{?Sr74 z+34p+;ty3hYb>!2mruVd8@~HZTrIwFLPT0$7=xmlQyBZJLQ~6ab61Pwec$3hZa0QfH6!X)X^wuq(4npwY1_LP<#OF@oCCmwT-L|h41j*9#fYi`OT`6Iw; zpy&hhWvj-6kWoCvv-w*i<}lGB!#*68G?@>x%A9Xw;O{S(pI@Izw_QRq|Ng2M=BDp4 zs=Raaor6XHq2F&7aE*F&&{@wU-#(mNegC(pqQv#rI;~A700x=dC53ZS2Dt^9{xixg z$Nf8YWsSRX^gSaS>mP1rN7k1n%k($*vy%j@mlHMe<@dVgKWWCXtI|`6HH1p*KXoOK zxsiNUwTo`Zxw|KKp`mH_xOS({Fo9m1??m4d9aRsmU&>zMtOplg^q=X}`*XhtfrG>= zhUr?Z`n~K?(b<2m4sDH3Eg}B@TML}>FtBABuaWD&8^Ml?)F}-rqu(Hj$ZJ4bM}G&kI#}qs^l;P2l4ETa`+SU|z=A3dUnHb!?~{ zzh!Yi@V3*ZD;ID#VjjZ$tW%bE9_~vebIQg>(9%xHIWG0?V_dH6c3`4iy5`I;1^h`i zQCL$+wuh@Cdta`V2$1hX-TyEm$M=fpi;a4+zOVhoLB_t016hZ`e^fF||Mqxa-dW|# z;68ED@+|nC@2oF_F@bMlE;so^{v+}u*s`Af;nL-6r-4_1Nku8$y!8w}nT~1XqdLyr z^x*QspMM4ToTzg@`>cA_SG{pnsgycrgRYc+w3c$dq_d62jY?7=5vHy7iIvj!%xfan zI1(ABlXur2RHjF(w0o&?{q>r9F}b6fsYky1pEAqef9UyCJlRPLU9icDOS6jHwY<+lC93-nz8bnm!1f8#_$d}aO+e#O}-^Xt)<4CtYj48UhY_&(s5&#kDnks8du>qVc z7joYOhXn}9Ua1)3i_4FsHcfN5HquTzuW%g z^Xfa`<73PYk{Cy9#UREV0QC${taSDN*$2qa>WKC%(BS{$@y5>i zJ1*$+M^my5mOkL@|7-6pz@pr`_hGubK`BK*LIE+5R0ISpPy`W0Q4tjbMa87MbLj3I zYKVauhL~U&VCWJ=5fo8C38nn@Gw3-UkEj0c?|QHI`mVD?#^>34uXXQxt=$_GDBGsM z5-AXH4ecvFuDw5wvFOl;_*j+lp6nvER9=`zVb|VMVZ|2qmPvHP*d4)m;)6d83 zVNqIQTx9xmD{6G?R?7tS)c(&K_LGB)8RxIBZN0SDxl5lGnTNa@iQ5;qQK(LIn3yxj z78+g^EUB1CV`082x}&i&S`jKKXecZ=(? z;78cQ7bd&I6$e5XM4WDhhUjm1$`#os&d*Sh_%`@#qs_gWhDSNDXIAc?XADv4;e8aj zC$(&Mb!wiq-}#HI7xvZhr05x7jNopAc)_KBB#{Iccj9B=P9W#rk~s08&b;yWMP*aly>NZ}^mGpbLvF`OR{)Uu!E9~GP3 zw5c^^2}dO;6P@IIpELE*GojQe{%D~J>ciFPSIb3fb7m#f4lAb_-dRpiF_)bXW1XP~oj zHvY51E5(DxY64aamtVcx^U2erS;Fhtj*nG)rN*=e)fYouUVBU!RcLXFa>+h8b5LUN zZHvY`DV3$p2OBC(my%uw+zwF{*^8h{;7&1H)M3iIbID#v;BveY>dnT^GKeClp%DH|0thRS!!0?(A~7>zd9eg0|~=O&hE!jiN?3$vg@ z1g7eH1Y#>1m{m6nGxJ&7@Nm4<+)Ik`_PV<9$di5NGE}`=!W@ucEx|0|mK8>Yo{BS% zU|Z!SSL6`U_1bgq=+?I0x6rH|ir^Dnpy%ux1 zh)_ls*T9sHab4^V7%95BE7;mLCBt1JK?S^kQ=|e16vLE zJ5A1>l-3oxk}4HYMrV}eS0Be-*zP!aI_ac@6BFFJ{INm%!rOaX;u(>oD>ISWR=GD# z=gQ|q_#BKa4{}ZDx_D+jIoWdZ!`&5GDV4ZBhvK~AU5K&LfmbnCZ`yt^->^a2+-TES zT*0C2-9(qP`U>54@94KKy(a<&(oNo-E(L3D z)s7qpFF=nSmgMSJ&8pL@62~BX-Q?tQJ}&j5)Y}#l|O%@lb|4ony<5HAnCX42_l*~^J8L9jGIwI6KiMD$*F2Q7whrCxCLURBx+<$tara>+C))Bbx}?Puwy(5uoRTt>v@bo( z;hx z7IVJh-%FLL3g0By{)88Q)Z}oF6C3k6@c{H=OPG9+v!gc5`V|K)bB5Al+?0tCeT2;v zHJz%adZ*W(#$&U&!>&!zW$XqKh(2YHveK`9GxBkwT*dy3L57tsk%a+oW$7gl7cd_#q095^7%?zAH{xYPrdq%-E>!cpWt>E&0*%up9 zvz!YWuNkOwP~lBw0NNHzVcFm^r!} ztZf>*ysT?HV`pq8z|J^9erLp}V?eX4F2Fvj=dU%__QWXcC3tAR`_L+=Tuf=Od zPuF-lKfcnu2ZlUr7jI$ir|s{!-Lq9}>^5)mRHwSN{iCsb2IM$4_TrK07;#&AsYENm zTS@2$tQ#)mNOkutqq2hIPIE=;;)QM|tk%&$rgF@Hep2+APhp^dP9$=efR}t3XztZ(gdwfs;oclX;@v zh$jz`_AWoYQ;tKD?W7!5o@1EC?ujqy`VHz>K9V(ahzn4Wp1a|@IYw!OEnER7=49PJ zyx-3_Wx4#u!Q#^<0aZ!mZB?*x`T9Cf7ReTw+NQ%X!zsJJAeg*b2)Jw8RTzEs-pt!) zXTzQ>8C^W~neK6@9}Qhm7|pSbODyu;eAEV)la24L7E?zYIgh`5vT=lGjI)O^ba#cg zPpRq=Kb>M16?x5%kM?YTdeFH&*i)Ya^>8k^7g)`&K_BX=ql>#rlSMTNv z$}PBOL~d}sjZJeFaj5pnXe~kqX;s^Gyg=|@vdd$&eAlAkc6loBu>4WO7oL0vUAh>< z6Wv*L@Dm%ij()yDQhW_V5czE_mteM5GY?>hDV5YKZ*Y&Ax&}H29ET1+mnzM$)1Z}0 zEj}!GTtoY6mT>u|N?rXmi;u0!%a`I0gghC_AH6jjXGyO*!mqc5+Gc70F)GO+59_U~ zTw3O{2j$K%k*8jMd1R8|s~lCCpnhGzkx%11Z-n!K<(uki-C>tJ^?5afMG(8ov1OfC z-&v|Lo>G)>t9ld9%b`xdJFG<2>CiaTma+7jGM%w?ctkR_ z8d%=wd^tY0)kR+VD%&Wg*SvP|@pit?NBPNgikx@!beBi{Ka>ye$x2*MT2@8f;;hmt z@8R5Sr}uRC=8xVHNH&$+y!T4gH+znK&i3j`_E$Y38|t!uaa3f>8cN*@HL6PsOR(li zXgQL20Y4Tl8=h&O-`Q%~XP8^*M4)@lNrR$JBNGsx<%%ZKM1`mW6D-Y~Sa zB=CEBvKt({v1TYmBhSbY)8J&qv{1S1??@9%(!7+WthSg`+E|SjUwM+BBZJfp51bD@ zaUk#Y={!4&3nYbOHdCSgEf4qhW2KO&ehuXWTAZekRdqxmGB@V>hbkD$=*y(-#AXAN zup9dBdUy8}3n2o+BUJ^pvXXOKva8|y={_dzsO}fIx_#2P;f2)Jvxz5?T5~U)4xjy? zbF9bX0RNh7lJhY6dNcQ>m5+A=w&_QG-p1niKsH@^UYt07Q?iz+EVo6Kfmfy}21$NdcR@88~xSGum8{m?wR=i^z;LQx+HG;M6wtj;FOcghSE6g!=eVOY(*XJhKv^TJ(J>2V1sX z^@}aSE$QY-7^ zV#BF3UW(Cu{%`W!o|itERqo?^_|ClJ`TircThrxsymE;N$uoPWsY*}F)TOA#p818f zdVfN;isE)=yn?^+MJ>9K;KZ}0g~JMgi}Hb|M^2Q>Hu;A?duZXiToj$s%BtsZ+k9%j z-T?oo;l2?Wxld{PW@_?Y+aGjVA@{Wr79~0s zTn-!Q$hJwWXpI}}tR&tl&)*jHTFD{*CHtQ1q1YJ_bz7gbiW+QfZs;Y2ciD#*qjvP% z6L0lCF3ZWxqhu8~rjx{RePCzku!!~vW4Y-_j;F1w!h#I13Ljj0ZcIKo6Ll^mXI zE4{;aN&2nMTFfu;QMXJuJ8p~Qs+I4~)5JQc((!Ai?O3DRS#Go2;Ni2=bAgHjx4Ast z2BpAUO<8jE>YM(@g#Ld_SeTia7#SJp>FMZbX=tdasi~;Gd|6vtU0qpO{#901R#(@) zP*G7+)6me;($Uj1FfcMPF*7r>u&_eH_Jgnk;o#ulr5EYl$w0W}>kjH#ax0fUua|A0B6bZ=E_?wHXrXw5%CUlA z0I|Ty!49FIIE;;rh2rWjYb(p2=0CiD`(|R|^_#cvre|gW!*dItR;cKh*tq!wfiDCB zSArs9o22FBsEMFR-@@^O5i4PTG0sjjN3scRw-n{f@820VH2<(sLgckgEx zmcLNbGB9)SiHM4ciUa?EC zqDIEd36t023*dRFksjAZ>1ip+>AA&-s_LprBpTb&(K9$QHaPf!3tq~i9Ej2tY>9jRA0Ph{IOZ$p}1-g`49<;Fvig7-|Ed;+}8 zi!Vl(`FEJ!^azF}W)va852rWO)Z)6I4YW03J6^t@omrq^BiC17~ zSVU}kL2+SrdQKS%T~%5|d_Fn;e0+tKn~iFE^8Ndl?Z}+C5MM8EUq4?@Hy1bGh=jDX zq_~)v#LOZDqO`aig(Khz?IZ7(sHj$#K7XNS<>X{#pqif?d-L%_N2L67smPu;Xq&Lo z%lB^B>>O~x=mfyL@0I16X5ELwG+EBzd6YG^bPUWd-@0}E)&m!pM-QC60wd#+lE4pg z<`kEgz{}A%Tw}}V!qQ|fdEn)6OI2P{@ZDoN24*Mqq^JkpY%p;N3X6=6jr8~MiAc)G zfg>9*Rpr(Au7QzP?`Gb=o&F4nT3e%9Tb!Njho3{y!L-9*Cc*6C5BD0mhk3ifYRTB5 z+!DVs&gkgP)ib8!QW^$FPg+`?u{?Ro>Rxa~JQqxjnpn&&@w1G%O}1B|6AIEH1qO zNg#K0^$(E1sjKrnOS$>Vl%!Z+Q~VB{QF?q@8K%Cj zzNNdjr+4`E%!irj>FIZqV_hYW*xh6=gu8UPN=SQLw z_H%Lvj-Nh#;^@)C2lgGYzIe*S%+kW_^u%Z#*#erAW~&HYPA2Iy1izUQ%9#s;jFf zb`K5>^mcc3;&bndzzs+PDC77Q&4;kuvWmK%>5qLy;lW-3ZkmbN4v&_i8FwBsHP%p+ zQ&!!stbOd5p6;Q;y80I$-ZDLK$nw$+yOWmQxiwWK@PfQjTzj>LFd`<<@@V?|w}Czb zzMsY%omBY*IhJ^hU1PITLXro$l=KDkkuv(a+D4W)Jj0_S!sF7?GYTqd>#)t(x`yVu z_>;78DzQT59nv;lkvR=R(_iSm4Cebf$9ZfyW%~ZP!r%q?D7~=cMqW-9S}IlvRW;>p zdvtYm)a5rSoxN#c9h@F$aWNu2J~llgDljHL$4hylGWvwdJ=odfk0Nhoud&XLt${I2 zc+2Lk2IntaynD~)R%F=Zu2*7v_V1CFH@;$j$-&*%KMWQbnNnO{R9uV6dn%T*k;7Nw z%#*-0^zae`=ohIc3HiyfeuuDGhglrkHXXg>UyRC6OoWAI5+>;QMR@sTbWWJ6%G##o zJkYum7kKs-EXLbEB`eZ5Bq=q(U?ta8o1eLTL#E6WoP~>qdDCun4P#q}v&XLbg@wl@ zMFb>Orn1o0vCAs(ud%8gK5TaLq5TC1S5KeN=vY{=>p9gmn5fw;&Cnv;I29u+w~(l) zAP4R9vP=WN*zMcOeE3q#t{yokO^EZMNy*}jAWTet;FOl)V_WWA(6G0=>Kl4P_ew~B zvsZYayH{|iw>fK;>qV8d9L7yk+GVsnqPjPouHA6=@d-}MEv>GpsVBCP8nHuzA?}^t z9|ULzX*S6!pSWTuw)xPdix=*=xtNQ8>Mwn|CCvL){W}_Vp-o#A6%`evM8!lt^?3*; zJn5C)6*jJV*@G;3R(WV2yqKrT)Krq&#P8IUR^!LMrf2MXtSr^#G>=NAvzOZRwr<13d}~%guxD zXe4%uzGzt$lvdrNBteJqGvOIXchRm|<=MDJX{VaTZdJ8ivQlzF#90mjPO4tF^Lx+l zve_G4bFpZ{&EEXYL)Emo#%=q@WX#MJ=5j;xG1bkhe3ELXPVbb|Ik}4-b&*Y!|N ztr@$!lXOE^_UupzddV%Nv`fbjw4EdR28Yym$8j4ESsmLgCCQmC>XJMmba_77aO)}A zos-Be3^Gw@-|3Z!NdZB%-3#&zA&wXZUe;$JKJDF_JZXl)msiyk6mAB`6cY!h*Jv2Q zG>lsS{K8~0Syk=*`}B=~yORON+fKTDk{xHnEE^$6N~cwAZKdomFGQeA&eH6z}H6 zuS!pS-_`7@{|y?GL-8SMaGHGAXieCmFzT4rmgdog1u8Z!eo4@(6y+3D_iAcs>lq)j zyl884?(AucBbqyvnf4{R9?+}1?zsh>PqXFHy}>x){ta^5cJ0&Mr*C9<`1naHn@gAN zuHC$L_2yMOhYS03G?e7Dtu9%c8R#B8wD0Hv9zo@ z`DzwQO_?O8Zn*8}g=i}Z!*Ys=h)YY$D(~5&p=V%VeCX(L)1zi*FI>KU@3D)U>l3FN zHkOCA)OWCuy31-uDIX-ZC`oz`wsmr~) zuJ@1Y>^FCExn=*@#o@H&wTF*Rh{{@+Z_av1r>H1)X8gmYKAs$OMsQ?Ga;!V!c|B9^ zP`@Pn7z4lPRuv5c0K)L#kz*$2R#s;&*j>GT-Tuy_$4^~cy?men)&=}>Jj=s+dg{tM zH`b(5@iMUT3CQf&uIK0%6y)m(#LLse!`;=*%iG)6$J^V>$HT?T_2~AU?ry%m_b=VJ zclYMa$M?_atL!^@-SY((UP;%hu**X2!-wo9MP%7#rK&zVGH0 z7@HUu9TgEC5gr;678)7~hQ_dv;E>>;U_b9b_w%-{k%6wx&W;ZE-Mw5~AKiU&_TZ^Y z{)t|<9$h_sJt!`~CnoX~Ia>=U?p@(2Da0YAEG?;Nb^Vc>yQ{0arxy@U-++LCz~JD} zh^S~-WK?u)Y+QVNd~8&BkdKG!gWGo2=g*$IYa^?4&&MYsAt5;>B|R%WH8nLkDLFYA zOdJy8V`HMDVK7iOG&DRcA|^T^^4{5N_n)}=dO5oJ1g1w{ck=W}Er%BtW~Ra`vSXvu z%4#u)l!$XeG6t8QI@|=)$B=MPJLoGiDk?fIAt5n2DJeNMJvE(TC?zdDH90X378xGw z@9F&Lj{VgukNjLuUky#q$tx)_(cX~ltp<&XB41oi;63&E6dAD3bNC(>aYcg5#C-QnR)SviP0%p*||A6nHd=w zSy|aR`9(kqiwX-03k&meveGkwjjXJU^yGxNh#)^tch|=*?jDiZ5f1KI$jYi(WNi)T zy^)m_h_bR0I4G8vot2pmvL`1b=jG+*<>uz+6{RPogt>VI_(r8ArXWgTSdJ~rM0t5xIijkn3R#0hR#jC%20+CN3JY>` z^7C_YveHuGqoY8Ogak*z5{k>B@A@EH8n9qO*U(U1jjF9dR##P&mlPKl=H=yNWu~Pj zXCrH?5Jhkl3R98`hr@GXVloSm)fI%|*rK9>Qpj*kBbn4r#x>Q~5!zZi$kjQ3GZd<( zzNx;UzOD|9LZj<24Gj(T^_be4+Ukn((vp&rQUI$MLY9}Ek(!*EmXVv8Q&due!>0w7 zph_`#5)t2wuEl`TC?v9`8mdJ>0YH?M4sUI1Y(Qf=TAR`6#ztaec4kF&Z%-}~9UY%l zj3}w7#56W_w30fSu}w{c&Y>5t+7QSld>a8UHVH=x3ZNXnWzOlXz1r|J&m4Ghr z7f}IfURDMN)37o`c?}AUX(ST+d+Hl1ib{(Komc_^hijobl$I0$UaOxy zZ*OlUKOgRGCU$oB_cUQh?JwHHvfHZ45S7SUTmzQa+D)v-5eUtAd`DmZ_zOIS0ETUR z3yDM`l868nfkgnvo77=>e zS{v)?0mF@r*d{QQ1sOpl5QvKU;j!Mn-hqj+;l9BaZ>J}o^^LylgWrq7p%7rfQV*$V zZSU;sZEqp9wvxO0o;@QIT3cJ%aJBeOkV0x}Z);ITw}V^b4wIH&~%UEe*_**`WhIMCfe zZtWWC!ejd;pCdd%YMScma3oR-sjZ{Cv$Mayy9<1D4GedZh&bSVGNGyw&`R#;Xd?p? z?d{~Y*0#1bfC`Y+0@6}TSr%CPpMaI zLv>~b98q3}2kwRxx3smjcXW1jw-7oz`}+I)(1i#zrnVv{y^c`dJKT;ZKw4V>AfTY9 zyB+Y|QisH~(@+1U;tx3@yBgMg7*hy)N);2Qylg&=|L zNq`H$f!J$pX~(9_v0|Q{8<%eZ76pnv2WOAh6P-^3qFQ zjgnd+(5*lKH=y>dq?R^v3kucRTAyFggsulBn_7DN2m89ZdwaV&J3Bi-Y(R8^yzQVM z@DM~00cuB$4In@$;e;g+am}RWmaHH+=n_$A1hTTS9t*KU1ePFIbb!hMOugORr0Q}M zs=6{ZC@Cy!sJj^iMJoyNKwBFbm;<)Rp_FHx@u5;6PI(rG(cZYwIf-Q8myXES^9Hw$^I{Y<6^m zK>kouCu+P1K-)--QP_p&B-nz_H_V? z`oPk&3j`BD-qq6u$m)dL2GyI;LP3NFZ4L(l34{^}PfQCzBdZBD7_diESyNeyLN}8j zGf?OOS3oXr@9JwU&MwNy%}MFW-OE!@YU7Z*AKYL zuV^3W13}c=1I0EVsvF`OEIvCZ5e0Pwz-M>@ga~TbI2@MPNX)yFTnk4w)`R}3th%zY zvbqin^&F&@W)Mn5A_<3UY3pn+hy^1^d{k6CqN5k+2F(US+6o#y@EX7a3;?6RT4!fZ z-|!&V2pbscCXxI5dV72OL01PNsR#TMeD?G}h#*Lycne?%;AsRyOd|%3LDttcA|0M0 z8*8enYbwhtYbr`gYVe>bx3z+eEIjBUa99kwsgX!X3`|apj*Lu9$#3i(Y-<4k$bdr7 zB%l@mm;`-INAJ+HXU|_wOuQT$B#`>M$e`x}jT1nEd<5tLu(|*mz)=_I3IN9-jz9+k zBB%jVhlK1GS63k#WA>Xy)ngHevQiYPI6tql6?9<0w>Z!-Ha6Bb)FNvt>Pflrg_-fm z$tfAd4ZWSnx=u1^z$6kxAv7Qmp`Hb7cnv=rc`^QaY;2g^^>T#NHUPEGp588~Lm;;U z5ZzD&B(OO%KNK5u}U2Z%{9nmrpH9iRC;KRdVh z;oW#^Q)ds@c>%5gegSzwuK+NBh$ll$0z@dNHHkm~jU80Fx~jM&FDE}OD?7cUJVJ)X z6Gd!8735`Q?iMphxpi%Q@*%_Gg&b^;T4^Tu>o2 z7|5&PWreu~scC7+X}NU))k;-e?O=|T9Gi`42R_B(o0{rTV0BwwT$Gz%kW$gvLTtxX z7ggX0t)#*{Vk;KJArYvm$AAe>WhI!Vl$KT0VEU+7+1Z%rm*3A*(|sh>VnBxnzM6pB z>oFKieFGR(aR65{82v%yLH!}Nv9YlZRb5qGR$7#wot74poEBajF=$BaY($mkC8kvn zT0qAHI0SPabX7$em}6#TCg#=QdxjcQW6Pj%y`~1lRwJ06V8FxyRZ~+{4hK^vFq4Fr zlh>G-7^&ySN8c|~&62B1kih8}R4uZq8tnH%bH$pPT2vi~OVGRYrV zV^LmyMoJnC78_G=r}c49YXdShz5oLTlzJ@G{xEelHDJ>*FCzuaqZ5*Iu%pc(p716# z8V%-pVAHk=7y;AJas;BdAUh)?B_%mIBOCeR)6&xWk?x*Xi)(YEEoFt($cie!a%pKX z99{&67nhcnA}T5=b2B6gg+_tdESStfyPNPrFo#Wyi-85h5)O)G54GScqhrgk^{Dzf z45k*1s;vdnS1<)nPKb|BfQ82uph|+mE74`;rSRgyqT)g@M=t`TtU|J5X*Fr+VA`;5+gzB7xn8X4UX>h0^Gou)umz$lD zl9&WoP6DeI@D-nsn3#|RA~y}}k*BAnfUEXWrYao4Z78jZ@$Edg_gk)cn6bBim>(^FF8;^JV@z#u3Y76z?ZL&F~3ce;1)p{sX5P#6Rt zBse%Iz{kf2T6%hbB`8>gf=^eMCl4RqcXYh(bpPJHdrtQq?C%96rNScOfU~0^Rgsb5 zVZi|b{$MHY0R)r=Dt!F>Kt+H8Pfrg|FAuP$1}SbHfnKih>2a(j=%TJJQeH)6d)0`O*Em4%e<;v%O?@(fYi#rRDbR z+qWrfQ&rbHVtUM2Usq3WpT^$3>YBO-4UG)-59sOZ>FMk1>+RRk*3{Gj+dEns8k!nf z`wkc$Ha>Xloc%3_yH6iqvAXiu`O$-WpbqxeuGrdMw7GEU;>C;S!5+{lON*0c$4yO5 zO-xM9%q^^KZ7$qCzjc#COxTlaR~#STI(OFM@S!6HdWL$Mnwq>j8R!;Sxotc5YG~;mG(K#0 z)?8cd=tY~;XU%>3khP7pO?1}6tnIgAmReTB0~H@L<9tYt?MAafUwx)w5&n|SVbbhYQ4I) zv4z|{{AT*YCvY@J&A`enEH1f4PEld2l;mbvd3nX{+vH_swrrA+kdzP;5fT&<65!!r zVPs$e$D7b8BR3B>znJhea%!uVqS!`0W=4j&feunFyf6=}t)m0|1AV>x)KwK_w`|#_ zyhT7n)x^g3!s+8CC#^5vbi94p%F^oOAp;|`tL_1Tfx%FV3=NA;Ov!|U$tIrM-PJSv z>g~rRDmrF%a8%5}#RE>1!O<-^+GL{~YErL$`t*73?fCfQ}wzTxHL7;T9+Rm{N&_L z;4&`e#fiyxV|_jSeI1Fem!E{i#;2Cxx`$rOF>$djbQ8(LuVA3Xv!c~~XN7he>2Q?z7LATJ^h=z%W4%x9py}bGHzSM6bK;{yoK$Ex zIOO2_W?03Q)D29J8|>P;c>~L2b5&m0&Eu!-Y|lN6uOFJ6r(vZ3vc|eu-9S%ckEX#P z!vhBlbhpu`y}cm9d05S_HvaW+?+Pc=66ZGYaJF>4y_)rf@d*ju+q-El6cKVo@sW{| z?H3{gb{uUofXSOm-8B3nB`41I2DTwv#m3;R!1<8P+UI&L@(5**C4??z;F`-qPKu6) zF^=6WKo>_knd|PB+d$J8c>Vl7Oj(&!tFZiL0U@O`UXd{W$L=ZZpJ|sT-+ZPTb~O!I zO7atNH9iLWImi9Hol^<#X&Dx9 z-t4=lsX7coD|+TxH*Vb~BgF9G)r*(oGjzgA`}Qeu4J2IL#)P|;(4zG&m4$mWV7sK@ z`8$r`gED7b?jPbPvOeHaO((CjgXX?Y?e@rC<+82%f`?}nx1ZmBipku~#X_D}WV@Qo zr+CwgiJ01GYu$^X=}B%XjSck5rysbv+&XJv=bP8H!nr|u=V6Dyl>D5iTZ->%+SvEq z_5%ZL1S~c_4i*ju?nqc{Vg@*MP78Ora8zG==O%i*kK*&3_>|1__%PqcmkhRT;NQ5@ z+CLXJ@T{XQHy)OhUtL=qb$Pe8N6q-4uZxwh>I-k;`?ti50H3h9Xb+Q3EKKZ7q|7E@!8DmV2SgF$mYvRgNG6aSY!^^^o~w_reOq^ zlECE1mN#SIontt8|HdeX^z%p>?+3@q1uO=qn&n;8Y($P{c%}$O_Ois_f zA0_5{AE1uky)wrwrz*!i28YF!^)9iCshWFck>*$hMEIF!Tk@h~;Lq3;jm}=aV0K`q zf}EnVlAIV9Jv9Tj=w@-Q_XuyBM@7^-Z-i!5)DzmD_4N&nz5hfFZn3a&aPbOm0M|Y? zZxY|Y&&fhhy|(CxCrucWAbo2@i3k~pav^i;NVdoqWot%~w<$c{)QILg!gj7uyFE&>o8knWMpNe!2l?_L5Ol|2MBbPij$oUx@`pA zL}CS(Y-qoHnw^?>Inv*ON9IL)oZZbo-(Fo(R!is}8K0V&U#4N=651rMs=iOp;Gp3l zlT)@%-r>o4rInQ>S<&8C4=M>W@D(iQQ zSOGVXqlAP-Hf#iAvE*hcX&KqATer#reBz=ag8a}`C(0GCuaIWOhuRwuS<$|Z=9 z4)-2BadGz!j7$W5eCPA2MQ}X_oHIk$*?=&DYeoPS4|G`vLL>=Y@)847fh$AcVhVH{ z>g)X|79e13rlne*n|e9Wj;k%pO^FHhb$@u%_N=+-5o05xLr0EVSliux;^7|}otTkZ zREhvQD+n-{WP=MH(a^LyDh9O3g3{{x=8l0EU`n$_O$Q-hW~LaST$Q6-|N2hAGf03U z=2xL){+1ES020CVAZjWQX$y1UcV>ZWQsZMUUyME<85suhj3PrrLxY0@17I&?UHbb6 zhn|g$LM>!!`orAf`aQMvYig7$U;jf=|GzI_YvAYd--G^h`;@o;JrER2e}d${jpk=i ze#^#xjiB$KKxagMjqDG-_Oqhv@BXmJSEqcJ{sWx#gR9@+`V)oUlKu$Iw@COS72nFO zr~j%2IzB^bX@g}j*xLl>kL&W=+~0KnQfmDLMb#hS`R@JCA^o6?@<=hRt*rw@>l>8c z0{W@Bzlq~li$8CoU(>%;3Nnla%s^;#w86uAI`sOdD1KG{Px1T!2U7GSv(WJ_s&*X< z1ZSO{KgaPKKz}pq*KF&4{pz@1ihg6@D5J9aS^hE1`05Gs=xo(SM_YY}<@<6%2^So3b@u_Slo0+tYJO1r>*G4pK#dmE8E69aXowUbKP~dx*XtR9 zp|5;HZvT~*bxuH|h7|q+=BH}Ed#MAsfNB63htz9p{sEFd)}sU33j|0T9Ho69IKV*~ z-;wgi3Vxdcf%qBd2hUic@e|Co{=b$q8l`x~Nfb^I~! zfBhNq{5~D@&jawkj^J``4I`_zxRYTaeqCV`7z6{2>+%fP~dOmq^PCXuB`=!AkbHBEd|C8 zV6?zbWuewnC~516{|M!8P5&+z0QM7flp`DzIH&?gOVHsGbf5zswKOy-FTi2y`UeD( za$O;aLV+Lmpp^fOfFHH}4Y`yGXd=~rPx;ql2<=+vIOzv1z!(KZjm9?{ z>z39J8P?B0(3FBezHa({OQSrl@7Dw5T1cpdzsR~B$|L2Us2WY+2yoXO@(jpb^X;$( zQt%@v)c1+M8eX^m{fA;n_75#mkAyX8q z-vCHJx4-09de`3oaw$2!S^bME4Zi_L$@>Fb2m(d(*Gm4(?jP20J@b#re+}uo9KVC} z4FCla<>5#DfBgJI?wZ0wOxXU8+&&>AKDP5^6;Y52 ze7o)aD)`()?J)ouXHDPwc;jXKJh!w2UbyZEAdoiM7+mc;Or>lTvzxt)do+f_kh2r5 z+$q5UK}?`0z@!{bMVM7c@rv7rcau|q`*nnYPyDw|ZQ1OW#7{+3Iouvdc^dq6V$!=* zW;w`at;Hx`3u~%`n~Sduw2uBw{-qw_Lwo}`%P^!IJv(6CYlr5bYuD;Zr3jd*=$E1n z@v~`?PYAVZ`)BRWp|b6QlqY+$y>NvmW*S^OxOPa7uUGC@fIY{13#CqA_JkCqJ23B^ zwG{zlI1e^4W^-b&c6E0zm|d+ZJNotCZrTaQmNRj(dhuiM_1DKzzy9X_R6^!^2<|ggBvZ!jO_8Mx9X`umP?j^EH8wT{EE|~DBdaFA9ieK z>;&~|iax|$_^C^h0#Va#ZpKK=m;K1p>*vwZvPzLs`cExDF@e=4H_SDgHD05wNHyPu zdFmjx%2PFM?A5M00hQ&G$S1a^2e0*Uofcl4s$ZHOZ8dX_*7=)|mM5Y2$!in>R(O6b z4vd7|u|#TJV}}STcm0Tjepp(A$5b`^m|}_LP=r~4k%x~zFFmTV-5ZnHbY8}uJ&ud( zf>2myNaZR(5V)>^6wbu+ZfsVkCJ+IUf>Nk9uEXjshxzHNNb@{7;?ti! z%rU>SP}E_8oJ-j&d=sMNsC#E4&1JBXlUU>EutwFq0=Bh;H-!l-N(IgJTF36?HZ49K z_~Je9M$wr2mp)4f!2_4#mcP^Qh=FlLamoyqkXhTo%qWb0Ls~PkMd=2g=d$8Fg2jwh zx@W6hjYxviw8~z1N5<|*NWsfE6v|BO7rF1jMp&{H^>Ie84XssD3U*F*G5t(*_l6l_ znz^cJ+oAApPz|DRFj{0jm14QeOrhyTomg*GF#&^)h({q@V>lv;_Bwm-Z2FIY!)8Bg zVqz_pWK*0Kqxc(-u}G~cXegrhIZj(JsWELNaf}=3AcoM?jNU~jRy1C(*YfM{S*z*&!e|1MwBQUzMdZ#*7^ z7oQ5$r;%3Qn4E|n^-#F?$>4KyNsZf|kCcecc|o_Gci$H zB+1o+VT+{WTF+s8zl5fOO`Wo{G`vspw-?2v-$*{h6GLkAaHy<4GKA`OpMwY)Q|~&| zh0;)8CmDL`sJSI_=syS!;9%+~T!_InMaSZ}=V^ipB{0bkWPQ$>hfTI$Cp{AHK|+jL z#l!T4ErgFbsU^-JO8>`$p84@uO944kGD>mmJA%xr#}EW<<`9=PJwa9kdh>Io46*2f z2(#Gcv5>{q3&jY|Y%k4ZuDkc>Y1<&PB-WOX5&PcaJu3(1nm!+vgeb?i>DYvt?|ta= zN$|V#Xy!}OIT`VhZ3WL3QJ@hduzHbq$u znm%)yjCaN!bUziVXArI@pMXQ*LUq{El2A7<8Pl)n?sH>bRhg^LTu*#ETVf&mA2|(D za#3n5s??5*TpXYBqWN^_Wb-%eJV4aQu;8y9r5zJ8a#VRXr#-XCSHuC{wmnb4XBp2l z+WVwQ4CXhZi6a*N%<(%(TlwUe+bo4M?HZ@}4(M470xvB#3!6i;-tqx{frtt2xcT<` z>nzl`RDf&>vUWeOX|)8O`m@GJP6A2VuPe&&nb$~G=OQO!EmrOekgW*cj()l=F8y552(w zdsPl6g6&qurL%AS-kEuxUG})+l=v$2iPedRJE(6^ihr+L&V9tTfb1&`KXKb8)^gME zj8@R3RPvi_=LAO3uP3Xje6_y4eV`19^a_k=SVD*UB^t>s{!2mYJ3Zm? zI+s$=QyydE%^OHqqerB+={!Clz@!6 zWcRBOy`IllYP_%TK*_*4El&K1>+urr5Q4Z=@S|vBg>``skyd@FlSEjV4LQ3AT@uNK zuYx3TOq8zf+j0e#1fmB5jEshgJWEt$gB2`uo^YFr^683oEj(eo z<_#bt@jq!vVU2z6Utso#u#n)srg|=hJ%=UjKhS86d$O{S4%0PyNb=RCwdHe!aeSYD zrGCafYfGV^jz-p=vWW7FcICQ(q85i-2CMWad3;rHJpmA>hv7Cya%h=yvI0ChIS z0fyqZ%FI?eUt`wIwZ$sAuUEbFH4{p6tXnF1hc~1e4{B32fsBaTbkZqn*6)@o3S}pl z*FO9%BWrj`EHfs=Nh8%>T`i5X%dybhPq(?AQ&coChFdi0AZjPvtESV2uY-L#pwWam z6a{Q5w~N|FK)sTu4CF-AboBLN`SqI^MF8ps+`W6c8~+`F5>0Rkqolp=1Lugw)b0`a z07{|!M0uj5fYhw)RAkEpdNeigPkOk|wu(cXcSA%vwh>S66v$cMfjC9n z(r+788M0p$R@nTSjxIw%b$Y9%&iHjB7@?4S7`3h|*e4O-O)WTIR@B)?zgXDwoqLeq zDasZ@{Rx4CAL&amGy=m)bYkcVD+47_A0_w&R4bHw^$|anGJ;8PE&0= zi!D2qc5(&As}rxjh$w01+~|9h)R|9rAp+bMaOx)ShA(Y12)gIZwMAPXxmVk%K%^YL zVfjG?0&`ntenI>qw3s1U*`9HeWr)G`@I7nAN-#SUJkm`uIFcXZ9FX#JxUVw zJc#3TAM1wFm;MEJ9g_PN3D3Xx{L{gmQYT0dft_{+$fBwciBoD0HiiJPVN5++S~`^cvvw~^Rd#LOqzkSz(oL4FZz z0Khavh8IlV8q(BrYl)PQkEa~V)NIiZL1Aq%AQ+ap-KD5#{Jt-GdQg>*PHHefATK%* zOV1!Cz35$HGWyHhtnKbQkyKrK=3|lE^Lrdx&7H`l-8`aJ0IYMu+?(kr0yl;oqDkQx zMTtz>>Fr3E8C%yuNDy%CeA+eK&Z)<7hngTlTz|l`O6I^?V{7v%rj6rUA22{J8syu6 z#ZY@E00-sKOjCkIT!RW-!fuXDf#BNW3XSTS$>%)Eykb@1L?7tlbgA=kI7wSwQEb3{ zuKsL%u7Alt)i<5F%iGqu;^{h_Kxs})_^8aI7UZy?;tRaLFiomWY18WWu(@^Jy2muH=gm=gw1B};SYQnhMTYyi0K zTfsxn&hpNPK|4W2{v)9+P3aa;^}}aR9ZN|zqYImlnN@=8Nmg&`W=p2Rh}|=LZOYoc z_DW-r#PlKoYA?hf5>U9Dv=z9%$S)zqkggBPBor%r&9o`)2l?~w2L`&5o8}ZVAeH)7N*MsbsT?1& z_}+;AVpjas4(TV!$W;qrYet2ml$3Ag-O&zpUX*~d!x4(ATpoVAQYxZ@3rH!_Q&h|h zzAu~cr$&8-iZ#gjpx|K6*WI(ooV=b7U{*5NOYW})uRg)?#oQf ztTV0E!4CzP2kr;?y)ah}t&Hn2*qynRM)z1O1>2aME~wIXYw5^-NXygU&xQ*}OBq{< zII3^y?WNXbq~e=G*1k-Ywb1sfF>z&t!|ztdD_^q-7W)>Rh|aR5q?X`p^KO6fYoJdv z?QK=lOA44;3%;g>n;NuPWQL^T2}XG&v*l;K;r^-Ahv^oe|i#P9MdDF6pJZtmHLGxs&CMRtQ0uoY_=&Gd| zeld72iwjGYiFW&-KtGu|M0?LBXz(;rv`?P6_#({zV|>iTN2DA6jhuH#ZF>#kDnsXfTreO7w6MV^_K3YQ#WA2qKg2fC%HfD zodogE-$y*-O=-Gq>L4gFI7ucT8>%?{jzLnw3C)b zkyyPFx!~^&b)z=Lcd6IL9e{|F>v>@g*Qhs2WN3;~#dv5;9H9T5?A|5*z-qCb%tku` zOkaGW-3FoUG1GdJhUM{9D%Tom3QmVRRs=ISUDfgP~%$`1s!nr5X-+ zEVLf1{I-1#mW^8cj-EDAE58GcK?5`bN6a=n`dT(6a-aU9u~}bYlsiG-Kv^khKHRHEske{Q?m9x>6H4d8&HVoF6C@mHN-n5SW$8L4`lAa0FT`kEb3<(#g z3}>mnSX(rluWH@#s806Vb!)mL8$9o(^{9K@>1IRoev$RQgibyjZz1)n_116VmzH7J zf-T#nu+ICFbkmgmz;_!v0#$$Oy7FexWhdd9QE!FI)eQ(12E8xaqMAxlnBg|zi;7-} z>Kvv1LL})@H)$ft`7>Ta@?|876S+~t*k)*`+PB%#T<;XczJyNKE;n3=HV3glBX+D= zxn9qRF#~b3w6l!DjqoSC1U@G9OP?dLOR=`mux1KDsMMY=|@q3H!<>%4JhgOCBWe{WSwt;||x@}{d z_k6`cy4!JTHTTpwM0wrHsY&wdT3 z4U^qA!D(Sx_!)eQsjuzRyZ&0N#ZlPGXp=_#q2|gVnNSo`NJ44n`OT>e0ea0uDPB%z zPP?K#crac=1F9?49|xJ*z8BT=e2NjG@l0eU5RAR;YA|1{;vO`M{vDKhLg(@6p z`(d|_s?jx++|re{ryG7FcJo^pl{)b@#ZqfZTKcl= zBOp&60aK10Tau*(;^=;1iV6}(05Ud+jPZ*e({~WQ<@I~+DJE7UHs0cI=m!Kz;+ba{ z?-g8!ZXzl967WRc%wt5MR%6`8VD!biOn9E;`ERes@HOmQ`}K8Jh1T-Ss?$q zMFXw^eSVy&D<1_RWDj6hfm6XJIfK~aVHHHW{iqL7U?O+zMcJxBO`PI~hi~tY^z!BQ zXU$>%3mZ6;I+KB_Ps_T?xWa9gC{tu?09(UKg!EA{+WJWrz!nO-+0h>vV35l*5J}%| zv29NP*Se#rn)uG5JzQg{!HPKL(m_BzD*6BICj{`{4aoS_wi5l3u2up3`WM^mTBhQT=qK3 z=h##|@VE&n!zRTGR&UZ&{u@yxeok_|v#VCh@@7=8WwA9@QTOS>Gwn|A4{O9}MqyZw z3XL*Q2^L2IZ>6X}IpV&_oWs2X;<5L8-bgOLSk+%>>; zmQ!s4Y_<)A^Z+&}+$sohb$S{)V4m)|_VvGNxt zZo+8FZ5vPJ#hO8Tbw8G)0N|y8EBstJoA?>5)!7N2_1{Dpm{a*Gt7lh)03QM2y4I|Q z{9tW)+Q!{3C6;?U(nO>4NRJ8=#MZaag#lDXk`kZe>}OB_om2H@>X!w(L zX+RULlt7>P*8R%E;xqxoQ0{A zogf#jtiG?GSW3W1=wx*$-2v=gX++eDbk%1!UQ=0zyLDz+lgD`0%`2DiOEEO?u0Mt> zsu2lt9%U(BK{{n1{j$gCt387YcMHuPGE9MOy=!4oCf=1-QBj3q7My&|c!u-3s4!f3 z)8YmPgxix&jx31LgmAjk!Fb54ce~MwBNL7?QduTFQ^3adTaPp+Sp$U-YmNAaQ!O2V z#HSNHEyB97;jnrV2FT#(lPvNql&7q-pGOMyIzgs&g(*8bL6S$Q)f2>1evXWQeYB?Q z8$hKdP44-&C9& zie#R4h(nhPKpj6`IIG1f(ARI0NSF=)!`!MDdqWllOW1lJbFURs+^Nfjri_STgL$(T zx8ur(=nm4l8XEE(;MXda>#neVz@4noiOnsjkp?q$d8-L%VxrD2--O^7;zW?~*X z97%1WdhqpiKU8BwNit2_tFrv?V4n8CvXKEq+uEDtpm`*Mh;W7h8)nqO(~mOr5-`VX z{Gy`;Oo@0z75iw1xw>8%{hqNSKl52fyX#WTiRNNjU7k9;91QE*7Zi!s+UaJF6>ZLb zpo%r>K5Uc=uLmR7=J^8=`VE}CF#%y!w4p-&3GsNIK{rbo`_#}nRx76#t|~Rd&T*`M z`MUm^J(+u`x_*`F&|7#JWuX6-o?<7y#OoYo}w86_ukA z4Bgnd`L!x{sN!}autlQ5*>}n8&neqM6|z!$JrRvc=-_pd%*{lSC>z~{^2M_xzr!rYBI)DmhM3}I#JfK)iO(A;Wj4U-oqevk zrLD(R8&xW1&>U1oahz30GGMIu)T@Q~LJMnzBjaNDD$2(`ZXO^)x=OEJFE0DNsmC@P z(?o(r2 zP`dqy&dO_0xF_SffN9}GUjm}R?eoRd!Z&(!n++y3_e#dXMoVPlhGGV^35OGvl$w*; zD6Jy{Lt+1|6meX9p{+V%wK5cpPn0*MNV3RK&sM=#;9{rYDrYQuB#~B@++3J%kxw)c zXxV-L)UjFb$&JT;falE0WS9~=+0+k z&Ch?#0ZK(lEKMdSKxt3nZfoqS&WVlzU(MnwNn3Kjmg}}om-VBzx0H;ilx(%JHxjR` zOO7qIw-vG6cj-tHSRg^^fjA{Lv=?OUtTtU8b@vHjcV~o=hOv}3M;C`c)adw#?J0PQ z@8E|prIbd=7m`u%&gG3xQ5o%ftIZ{^7qdX*FtS= zL$4kUIDmjJuSJgnLQcgHqvdRhDJv=rO=$E`bZBJF$zE61(%oEW zB&KkNHW#}E`i&lQ_U=OE{&9=ZK;KN?$w^LN;3GODyObi9hAsunb-A}ZfvLN(=XE~j zCR|YiF@iop4GU9`1yUF*?XFuwy{^e>K7D??Ca1eZbQ-IQF&V5x#>PQ?x{$#Tn8p3s6rWq>Irbj*`SAaXSMexgkJ^Ir=-RQvv>Q!Ics~F%h=1g zTc{{S%rqZS)y*XjFoF<--n2#j4h1g0YJR*<4$caOpe_ebNIc0&4Uv%8Fn##|zhV3M z7t8w^fEqWiVTA7dYX9*DrTRyC{a zumOhyk!y4iYl_S9$bhI{oW9|_BWTMio&CH%oW4{iva{0gYPrR@8W&wI6}~2AgaFhx zrW&Kf@XB_&*&26N_F3m9Cg+7xCg#L{?u?|V3VCZlXwbf1n=A1_u=f^+Ay((-hJR53 z0#Rfo7J4%1^&{0!G!6nU`2)lsRSnn5P?);-g8IC2dPVmPGxIS8T1vM78%L8@m8BX0 zq9lQxh>sVK7+tBUu@9W6BOIJXw1N6`tozE%1io=dko%j*;f6u{hP?c_ZR_Yv&_#Ut zLgST`Wyit2MrYw?au_NtD0nHy%6q68Mr_qJ*R%y6guz|~ja6-OaM(o^_jY3L(}#(joCw@a`xZ}TA>8Gamff(v=H`}u zC%<&MiU`eT;4tp69TkOYWq4~vu_FdO!BQ_5SCw=)PS5TRTVp0hygvu(T1Rp_ZX~Ln zNEbTWib7X8^eyPxKSiHtfHS@pU5e)SPLtAnbK zRD5Hjs1@y^wW6h>p>y6lBHo|p?9}io0SxSjbF&D8)#LTlrY^881!g5$L`rLZ2<=uI z${3$1c7q%j&<$Lag8**3Tj7l-z7|wg^@u`56!lLPx1zu;2)Z^qlyG|zp`^Jz zB{x9L0b>Cas2^*A-A2*F+(mi=9%U^QpTd8Vcbg2=Om$U5Cr`-WD-r5-TGd;ir@Z~F z)wgn>i$!_g`CzPdiv$VREAA;?qPN06`_3ydV8l?$mmlH=o5M4~hx;*0xhTXq9lo&0 zBR`-|8hS)vKDs|gKq@js#yBoZEkb^0k8Q`q+QvwcLt@i zu?uTfKc;@=gS(6i=R{jFYb*tSe!lHO#kWo);oN>WSh(fQIay5~ez z+n^NDvdS1K{acgZuulZbDy*w}l`_do%K(-j%2SNMK}_OX0yxYGqJz$}dIa~PF#Pok z0N-uCVLUBa6^n-Dz=58#>4I!dqugVf)%Pplt%8WC7qjDq;;qDlKuVUkJ%xG-Eb!lU#X)8(#?&(H11 zgrHl8r0JLzv4^h(Tgvn~U^+Qwe?()v*Zbpm4%kCy?-PKQW_ku%1#L;;IA`cuiIJ7s zj`mq6Kk=SBz-JvhU1buxgYFOP>=h(gWPc>~;^nZfcK%*rE9l)VVy*xC&$vjKRXF-qrs{$SZOgWQ zAs&-a00`+k3g*{zPG4cl;d|JIknJ<01;0N-p}~0W3CE3GLBm{6MG3E4Z_T!+`TiGO zdoH&cB8_=a>G~Zyz2E8gVY?)>-*W0(#BWBahla}K*WTWHxtocms?L5HftO3wrF4@m z3#nhXesvy(EUBZ2ITI#MNSKmzQM?@xw}|q?i>CVrY=F^7%3cdK|G%J-v%S61qEHpU zQXtb}ypeX`MP6X>>96edvrgflMCm!%G2RhRR&==S{%q}AZ`d4ZO4b-^B>q&EeIbZ^ zM2Z7GN}yodBFJqx9 z_!ky)^`G|_(1>*vCvTd|F*m}=tC+Ik$WbvlaVRs2z9iHY{U_ZYjZuR4HZ4NI9Zu#o zl%A%0%qwR}=dJQ547TD@5w)!>zG$0~1i-JbE(CF3A6>KtXCE}xUwe<#)X4~PToB+z zd0`8`f{i|HBC|xIeh2mAKdNRHsW8cR1uBJN1lXe8Igqdaa5d_G0+U~c9d+Dn2gS~y z;`e2gDP|%ma zL(wDdsO>CX4yE&8{k!luJB6st$oZ`+d=kO|v_Z%4c4`!FP4T=0dafuyRJC5=cE3Sl zcTG7Pn^u_h2u(HRRo_;pPX@9nVF?e)1;cJj`0*hjwO9|wQwEgFaMO0MJqr0}RbQ*A zYf<;ge;6aA;SZ1Nyg;86H;rMBPCJ8^S7C7oj~T{y=gIdM_lKLglsvx$@k+`+Fk}fu zKUX$xx)}c#hPwQ7rO&c-Z-bh2)?k0gQkTl7V@?mkaIQ;9^*gb5n;_1~0LybgWJr8*pp|HYc8I-uMTR7_%;9ZWof#Myn^36PfUDqMwkM>ouKag$b}H;Uu+%cVMFu0s#rZ+5)IybAO3X zZ~!EpuBG1w9F78qZrxwwj*UOtJu`I_ho5=&%5bE9gH!)gj65ps6XcY`UwBZ+V&GmU zi*YWnTcUSNlV5d&#O$^~B9K((3$!iUPr9rO)5POTgXQT{3l;Df9yV08zgbN{e0^5c zYo1I0kM2<-2=II}xeWRii4x|Z*BfG=u0cJbgGg?yc1>GHvPj)6~yf6aq<72Vg#}Mh)ug4seNy#_uVgOl0g@I zSJdZ#`E|FhX2yv-bksn$s#)^4VOqM|7MUUDo_=?cDtfeEj{4VQ<}1CBOmFzc0!myF zd$Z^ROU6ILJ6Ry`=Apc}p19TT`K*62%{)Py;4-uEKew@U*U(q1%lnwBjdTr0O7uZh zAhwd2d@ke|mHNth6x!=xbDX=Y*9^<=-HejIN}~QMam?JkMm=)SvUJ|r*_|1#mp-Bn z#Q)9S;id{?wx^xv+MbZpo^HR$!TnG&CciqD8DtvN`we-HG=5KdVd>HHE5_HYke-gC zYgdgDcxelFpFLGypVK_Am}}Kbx6&dg*{;57Y)S{?izJQNoqid?vlSfMxW29lsbOir zQwO1O?-7+xMU0mR8VaeSN^3FKKrCqYt|zW``i_`xVI)17=SzjkQnGRQZ?=_L2L5e5 zo@GsXivVPEb!kb;Y`zxb#s1=GMxF(Y!vXR$O(n@Usl^{8=b3Lp^hb9EZOOTYjA;5mNi-9cG=FG6UrgnFpl@F8gb6wR>2A82u zLP|_enzY^>KHLXPEp^h)jA#zpIWP^I+8fbn}Oud z(iyMB##J7DT?}3$hu{BL+HQI=@YEv%x{Ozpn=EbavHzH3N}A`3XLcPU&E@P=%e_lWd9Pf8u>;6&O_?egW|E0@-stZUw~ zd)ZdG+E@@4+SC6&h56GNB-}3@!&tiN$^5Jg)_nqL&X@Q*)Z;?9!Qb^Hch#nA14)h! z6rN-O08Nk>cO`6FkUX6hBeCf65o8a$$>`y&x3e|t*Y6R#W8Eyq#q2~e8MnM9R(zhOh`3%NOaD^y$roRJ6AWU2##Tdgf~ShcMzBdzCD8iP18 zCaVoiY`mJTLfT+q-%UR%YFN;E<68%%Ac-t4u%N=e7^&)prC8?fO0@cXqJ10*Xn6V$ z*m15x#%!LlUOq=u*1YQ>663aF0$ptRat!u=*pQozlJZbQe6QA6u=-CEz>$&6xciKH zop}j=FNP)OhIBr)hnAIlg+t6hJZ?k{7r z71X?iyHPLvB^IUNW1qEV2NIJrmX}Zr0#gVM;ym}h-K4tz6}vmeZgNOpxP@VP8+{t3FMf#%bSz(qO=NYHXTLs-uotxLe5Udq{|G@rUPu{J5{;_hsJ;;+cKKP3Tr=vvU2PL4h;C1m%Qx)gY_GFA6IPa;3f@GiN=6buAL$ES-& ziRy5ZrjwzcD`S!97a`yYsb_bk!)Ta7$hN2$x7S_dhtNI8V9P;s9jk%4Xrh!&S46(X zPA3JgyG5=dlJ!|XS|<<)ekCM-&BA1uUa{}GL9WTm5|^JO(TGovFUsLocHX7~N>6aLHoCZ&k58cxGdQ5CR`5zlXL z`LmBT7ilsU%Na|xYlpn77$bFNjtht7861K4L-P2qgh<@zUr%k@D|3U5YX_pCZeN8%nES_B8M}n~5enylc4umS`L34mYp_#+2sR6Fk6{LTCCzaF!|2 zvGU0O7vP!&wE&xXfBa?ufxBJvE!v1w++{`bIN+BT&lgg9%cJ20*S~;=EEvp7%ye9H z+&Bl*e&T`nK@tf=ayhS-9gdJ@{$6uk9PDFWW#1}2aP@=s@SNm71vSC|vjg(`)XgMj zBsD7CN3?9&fF-CS%ea3c0x zN`FWuu5+&RGu&PwI{*XR(vjEM_j-jNhPgM|TPzDr>PNM_XB@Fg*lZDlo~Z=03Gg3qq4|*^MhF_iTTQ`g9NNbi#hs=95j08C z)3Cb+Jn-wm^!yOrla#4rfiB*R@1#4OmHxT<%@5Iqt~R&xkMw^%C;{WRK`Q*oaVyVQ zht_ITny;~Aso0rN%pc7*By7=5{+mx~vI5r+f~wU1%rRnc0!*MBgv))+wWaU;p-fr{ zx8KRBv%;ZX6%rUXge!%4l|SfC^Wpt6`;VXuFu1BMnA7Md55pLHe#-50Y9?lIj(Glt z|3z#`292^0XPW^Jx-;OKHx70fAcd4z2uXOfF1aH>#rT`?K(n1xki0`rF?|qy25s;- zMZP;R7KtZVO6rbZX|!x10~Th}&xmDGZplXI<47tGYh|Ztj+NpU;_A&n+w)5G#5Gj8 zKh3*Cc}kaFtK(#Lpjyqlp*N_=!z#!od7}J6 zYXT#xz|vqXdmUlf*ZIzjibMNHx4LmA0A@UwT1ofUTM06>uf7Tzq#GNr>{mWI)ndbK z0T}BX62@E0l}9m-OC36+`BAi5^EY8TY;!>CjIY7;!fP`J}~eSgN_Ok8viyVVlBHiF}e&oakV+CzHbkI zO}gSG6vmv^3LBeqp7^GODj;Jvp1D}CgkNOx^+QKdQ^C@GEWI~yN6I9N*nW+Eo#VhHaCpuj_?l$rdMf*Swf6ZxE6@%v zmktz^D@`v$nz67T&Tisy~s$oyxg5C0!OC z9`@efE(m}#53hs6H8?5s`FV9|faqW-N;fXFn-Ht>F2BD=%Xatw9{G=b}uLw+vyy}Bc3iZED6`a z$HoEs+b2r*Fu6efq^;c0dE>(QS0nO3>zkUwxpEcX)%f`4*9&*!ZQ&#jEyq@5sQ~$; za1P)<)TK8py}A|Va;n=m85!7=jC~%{f0wyMzsTO0YN5h7z9?fx@_j1P|5 zE*W+&mcEoZqs}g7QQ%cn>*M{O>I+T4c7~Qbl>CQpyucq=dU#4oq)Izb{73Sg*uD6; z_QVe-Kh6t%TaSJl$<9F$kfB6nzi~z@7cBPgV_mJO2QF9BDT2hP9ve)v?pu-?*dMdA za>XZ1NlbS0Tk*2}(?ZA!oEuT`otyfHSub^lztN)V_}JEG89m=JS!*j1TQ^%r zYSXyh@=ecb?AG~>82#Gl?IAAW)%CRfG%lta-Jm8EhZU7#Dz`&=X5FXn-avEh|C&u! zhsDX0Z|$ruPPgNK6svmu-4`HE30mQqj2$3kfKUCTlIxQbtW4*zG@RHYny_DLx;kLZ z=VF0l0LCbL47y%$rnq!S$i#*UKftRyR3Kwc9XzUXe%`1M)gpFF{POM%H*mc5K0`gHB{Z3-Tpo2)%^5+KaH?)hVA z9t_bz|EhvezU)@sylaF(2j=Mm(O_B0AEITKv?oaX45)c!C|H?AF11x#bC*dJojT^? zrT@rGJ^vBSUvvzmxKhG>q483x)1R!VH&tW7zuwvBaaY^uRIq6M?zP<*^>au2Hz8nF z`Gp(cawX`#(zl08N=pa*VpUw2nlQxmk9rCKJRI$ltTz>%UJxuy9AJ;I{vri)8S7S9 z6a`h5Ikd`+Jj40_uO+sb>3aI8Ru($`gCke*eslI-pWNF&%h{_qcSY}5Fa)}U5K~$A z?=CnvAJfjGV#tWAtOl+l?%fsX%3*;#2fd@u=V3MC&kr>-kCrHjw^?gDcQ+=#ZmD2$3=S;gvykDvw;yo- ze&TW0I9p8k>3G?C@2!|M%%rN*(i0A_!o%E25}nIO#5sVhdvo>BC`wZTNZ@|&!^F2Dc=bCuZQD-j4I`YR*`3<=Jd+1DCf7<_JFU$5!k%@4j{#&)Z3k|xhE8WhX(eT-S zEu9GWCCm4^Z{=UvaHukBh1>Y_Ut}(Y^*)(oMw$Gdon2XWLmI?w%7ljOcgUD)WLRfP z+Kmp$lVnbH`ba~Zb!T?6i_~Y!I6@9Fc^&^#gIu4Y%b6f1^+5Wt14_^7Sok2H$nPJex4Ra;J&V^b7xUZ17pZ zGb;q&v>IQbc3Axep)DgU*G^-jw;9aOhp?rMHB-0L?;tS8_(z{KY0 zhzLv}gDs?~J`uQ|PPU&yp!;>M+XKoe z=eGCUlCvzZPvpK75D;x?p$e`Q1JJKSR(M2J3!CD#jHMqOO8~{_Q1quScO1kVCYWM> z=jc3jbUAOtA%&EYZHE$mqCDedSzDU{1`bV)aFY(C2Drr&@7Qu+I+;grWwZiIz@nmle6OKpH(|}(97POquT{V_O@`ArzQ+^#y zf~={8Tz37D%0V_squHURrU`D==BDA9Ak{ji5(P`$vQ7Vjettd16tf#_)DXq zGhu`-5+4!=4O^8J313B+vpz;#;q673KcjQ~kUW!^2z~LIsYqo~IlKSY&U=70 zxpeKqbZLr;pa>QeQNS)DNCyFtqJW}QQHmf<5Kyqtd+)vX&^rW@&>?&{vYly4_Dt&oUfzY~_cF33 zXjsG!9D8tTU&N^DVmYJW@n+^uiH-uQY+fK zPr`l4Swtnq(u~88V_1Q1>9zh$YS;_15cs31#=SF3>9sp;Oynj6r=xezKDtlGJxq#| zocxryFT>R`?`5K<%NKriEyuCPMvWZS6}&6KWEUf?-HM;k+Gh zOSDV&7gGm5mK{Fc-#Hl4`%G`6A&im5OL(rH4L*`lWo9fy|1qNy+mnzxd~v`1)z_~~ zt-~fYm#2sCY)^7!RB@J%Pz^WMipt-3x!GfCaQcH-{Qe_D(Rtc=#@RQYbQ~Jy-;h(p zV$?3kx3E;^G40BQS9Uwglg)e)zddF%>736pjCc#1^qcc}{BB&YXSQ)+M;bmud$pCN zPECsYvf-x2Bl?^PdD4lwB{Y2FgqD-{a8qjU23rWLex+3YCy@ufmv0E?C&W*+`@iN6 z^IO%V=2g@jcckBi3y1<Ng4m?dP?99@8dR~bS zw_-mQ>_=(%dQZf=W%V8W6wNbSx&_13*ARE*58MpruRulgy}b39jyFhlRIMnJvcd4n z-2;jw8#%^Ri!EoLMZVOF;w>Go%P=9)Q_j0wHH21qaz9UC>U41r^%sR*rIzVZI|#!U zBlYf`V^`tbE7#Lo7}m@m<*q%_x95VDvTo%Id+H&^sYNAfwQc@^{e2det6auM9mTRJ z&s-bmp0GnSd^tLM{*@V1*koPC)3hLoK+cLXLcUg+t%o^9HBOD$hL1AO!jV0#s#d?? zdc>>Bi*t4Di)D|d=Z};!q-vRNo1?Gu;CguE^ohdc*B*DNM&7FK{G3zf((+#ER6qpH zpy`fx5vD_R>ep^;ay5>{$p{u$vsJ#;VCP#C53kKzP3Tb~z#7q}qx^S@4jwAwx_ETO z5cw{2w}0OgbfxHqSBB5^aRL@D;(rR|zGRBuJCW8Yf^t7_7Jc`=9o zv>E;xXF?t4yOWwsWP7sq8U2RxNeeFnc#_QSaMl})N7)a~za1;IRa^POa%N``>iGV$ z1yP$JU1O~P^^blzkLn8GCeJH7&{G;at9%b6j!Q+y^GNewIu$i@Y6qA9ssbP4Z2y z_Kkz$F3k&W>lYtdWd!K*?xW-M*~SrUT5|`cEjK(t!M$&oD(#7OgI=zV2D!9?{{KGWqW1my+9KPIE3(FTo z7t+EhTE>m-T)hQ2-&yP>8483Wks3NCH&|$G)eP=NRG5c7d2!sVvBmu}<*m#9Dynz* zcXzpMCZ>k0R*y@lsq=w+q$OVZSUS%jMAa<+cL)Uxll1$gGw=yE(kN5A+dwFa1&R(mDiN%xsPwZeb zrR9(PuQy;kEpp4qU?~(3YB!nHzi-8`G>H(CG&I2v66;4A#VFUo)%NaP2wdqmlMW z_Yvc`tj{O^;OkmP-uu?`G>|lyYbrcHdWBYV7tMIS1YIUvsNCY=K?>91@i!uAd>e+z zmY58`L+`hz813;ZjjnZB)*YSSr$}wVERt(ZPhx6v&x1#sp@#As2?Y1=8HE*BKsIepjd}2xyuX=Fi zc3Hya#_h;sp>DUUd=F;|DvPDDdtcP2HA&=PaCUGt$Suf_B-d125Jh%R`pk7m4h&{f zXwUTz1=&ci@eVTE-%HUva^%rxP8_5NFk%%kD3h-19SYM~Aa z5rth>sSt(nJ6#@Iye~^;ExLE7VZB1e(`J<=RIdNEX&|$8O!E`(RHVTBXo>h+Bf2p! zOBtQYl?JRw8w9z7a0$wAq>_ZdTY}c`0!PI9PWdRMZqCXthWmJeH+cLKGgqR|p9&7R zPY7rDvP=)lR&X!#r^LDUhQp8RN{GI*p1Z+4XuosG&s|^e?VT%9YF-nH`fm7k2Vq;7 zhveku-4ljG4oI8BX6Cu&N}>BF4WxChdc=$y?%_}hT(JzRC`#1jl0H=1LOI|h`sLno zFZvmmuHr*}dXG=oThl=vI}VIXiGCPD2}SWf)t$r7VveB3$wM%Tl=fH@{ad?H1rzVH>6@0gqnfb%`gdF*`eOJOZsN5g)R5J zC^~&oPM+1Y-9<^V)GV^y>6167PRW=()L=T?V>$Z7Ri<-PPfy~*d?)*MOs|0FA=@ij z3PqHcC~`JgPs)qhuB-6k=Xpp6EH`iw`VyYkCf(~Rn7CxP!r#z@oLH>!8@zqi-dePy z2ktM+$^^GEw|DkOJ;%o}h7xe)Ppe~evALD&sKQ5)K>;tH(R6+^7za)PrPh$v7}FkDWK(z=NCGCXkI-+ z(SYZcq_qhNa(DZzopQwo4-Os8W;Uy`c;yWj{(HWRGUtcSkz*Z~m@kr?#jB5ut6R43 zJUL+_p=vvj>PbB`$JOMQpt9ycvY&qsqwTvKwn)_yxeLAbw%>wXm>N8D{lq&F>+U{S zC%Tx$B7t_mG>U}Lb);qH_>FUV9``ubBsqjugClpXm7lzljQ67cursaPq{&*d@p4Gd z>8uZK^HYzs8K(A`7*VCYH%zz<2ve3sqti@P;~ba!D-U&1^&CB$8L=bgpr zWZ5G5g8F4EFDgw5O!zZzJj3>T{AmrSGmfikedqn9DU=_|(gu_=8mrS38y|S3r)kE5 zpAC8DUiYrMG3(I!l3m#JINLQ5gw@itCW~JL;~5SrwghH6%sDO|GIHKSHvSYA%%hs? z+=2ILwQl3Mr-m;w(qo?Og1Zzd%TRe=B8#0JKWP?rwS|vnPI1qN8f0F-wrI-(u^v`2 zhmVt+YGt+@T|432ml;aL*D-A6N{aFq^!gmflQ$OzVv^JF75a;_RL<)_DbYVq)4Z!jGYe0{y* z?k)!B6AITqnHsfJ&>o34rw*&Jmmsrjx^h*Z#MoZ6=TMkn);;P%krgGXX`0KWa&cCd zF{Hv*%@vKeUwLbI_g*of@PxZi@rDq>{MkM|T{=_CTv3D!`@I=kbVNRx)vlrb<+CpD zGW!;87$w|EdKyu7_06fa{2|Xd$=+JJIH~qU?brHvxruqV8CIGQv-_84uLiyfV+yGM z5M4{X--2I18WLcVbX$KH{cxt>T`=VGlg*mGIX$>(0lL-3n@2pCOJ?4EyhPSA`3NETv^V^t(;M0MUsP51 ziOS6wS_HqUj6(PC6LAh+4QE&iIaf<1^eG25*%qo{cQ{U?MhY6V6rYnKHAKi;ocC7llV!hfPw=9#Qdsxd@Ig_-z~cI@1G`6T$H`Eq1V0*B z%k&66&|+}(JGzt4faj&%t_!UlR}Pwpq?I~xHJYE}xPwn@RuKtOdP@IAjfz|}=V-#` z(<~`X&gE|R6}UbW>XJq7k7a(=bIPiGfmJ|RTU%L>ZLQJ&7Sm9;4$l{CNqn%EPjo@` z&>SfP)mnR$3_&Slcx?seb-MCw%&K(clt?7C+rCC`t0yT-+ROPKuBl@J*%#ZM@yunK z9_g?qb6UD)pA3t!68jh}gf}9Ik=|^BrB*M9Wb;oJMu#Uid=Yf(I%Jr&z%HZn;P(GA zdHcUiW@qQ#zMY?6SX^3u_ikl%ZGHXy#>R&aA2x{szI@n#P`CCPx?Dh4v z)zy`icgxF5i;D{j3-j~yUwaC^Ei5c9E-fuD0~Ox{lp_{|ip|Z<0(k>uc6Q>`*x2ak z*sJl$>6zKLi_0tP8y`M?`uv3ik}sb>efqcw5JCC?B7kJ`BQcK@2pJjlPAml#f*=7| z-Ga5WIRAF`&Fkr@sj2DLZ{`-3SKn`bCLtvwrvO4uP7YQ6ssgIKzWQ!ye(ufdDHOc4 zxTv_a0$JDGhVL7GH8nFgzX(zFT|kdO&!El$`T(TOkDq{i{J6y)kv;%*9TF(_6VOV8 zO7dxAW#P@#tI?6s@#(j#pU9|aw=?YA$*_Z-mUTOgMWM4Mk&5jQe zunng7G&J=ro&95AW%cbn!xOJ(-!3dcXx=R?ynQn>4LUeEIsR&FbYysBbZi2^U0hy; zxFQ;8ZT&sOCJ;aok)t)pWB~fw2EhIC!}{|4?99yE@+LX$uDxuB+1U@V?qy`4r=_K( z1K@V;+PQ;{nv&%G!bC3?RgfI!Wl#F56E{J@CZP7zD>Nlw%cAU}8m zymDb_1JvGIb)!7kTZDE4n z(_6gz0!^gOo{=>4Nvr97`-y^@ZYK-3w5fk)UGL=V%=lmzuA>u&>ug0g);Bb_b`rXJ zdIv_Q-@aQ1HdxZvdxCh0S zPP3_a!Rot*hkDu?t1HV(i}G_ak`oe=(sK%m%PMQo`2OKh@UJON%`Gi2zIip!h3g~= z4xsHObYRiwR(#*ctMRds;o*_7S3o9b*GQ;nXlbZv=yx%*?BBbap7PWD2(AU)Il4?r zN%3*2Inzs%hpg6L{q#-)?2+q=j3*;_p9jaMXJy0%`NUuuq#fgmYZ~fM@RHorn9z{O z_~gW>kid|rgyb|>A)*n}(okL9(Aw4CPiR3FWoKsPmsTRG;AJJH<&_8|s;0gf+kx-u z>hA3y93B}S=q7XxPAzYK-dtT;T=_skzHJ8+>wbn!d~s$`>nsWR=5VRE?Dm!**{P$X zQ+uvECS-bT?>z6Hj~;#ZX>GI_+4`PM!q_7sF*OZHQlyWwvtMj_YNWTDcW6vZR9qIa z72l3-Xl$%Ul;mcnCdEZZ#irzxR#lbdrNu`_MaLzjXBU)|6c-hhlvPwB>oJ{pTzgw* z-^9{~&!65eP7UCD=BSuhw!bcoiYvzrU~}BXSL`y4j*;yp@M@@DNvLYfRD5`;7(=R% zI7+>H_l})=*?D*+?>usJb9Zy|@Nj+hP}kJS*WbhbrB_63sFzP764%|1#Sad)SHcqG zqQe8d-JG4A-Ms_DA|pfnTA6cF(X$-zq+ZlO%f^wW|jlT z`6Q&Jq^>F5R=a&mNkQTE!xv63tnJ*q-Cx@Kr{=+uGON1>ux06S!OptZB&Dth9Ah9M z*?n62hLW;|p{b#+;S(np7k9tV&_KVS=%mz)+~TsL{30ZV(B0kBKhW3H(_ZAbJAL3< zK(M?IjlUVUh--XoB&=nmzZLVU>LKj%g>3?q9n^+l<-Kz&AIYgGshK%>j_hOQzIg7) zp52Ge3W-VIGB8w?6j#b!!3@pOtA>y6sc2fexVd@;Ma4wNBHq2EEd`I+p?%IfCE2Gt&BdMbt^ ze6pIRPwk#Qa|uj4)7MN7>JaN?q4C*VnambqmfbP@@f8X60sEX`P_hM#aQ+=B%KU z#1-x5&Q2b|!S=#))<~v&9s`%iicxaLLr2*U9o)a0W*h5)?UR)W-Zob$GW^C&M@Oin z4DYIHTKFf1J~Hr1D}&jZ&R@Gh68ruvb3cvXIqKb_@)tSJh)ACK6v|6hWbY(PLN>Q8 zmV{=7d1N08!TpL8=d>RhMA5mR#6PQN$A*E7o%Q!JYp+wp78CX zVq!nVFD@-DEhQ!_CLtiqzHOqty|**wDAl6~Z)ZIuN2E)(*Ewc+51%`HPAMu+$L`m; zkTL~D-aM&o_s}1ncH6M9xgcGj_OS<9gVvWGz8iA^J*LG zUKbYNdYjP}9H&g5b#u?=$~8sRJIXh%%U!>9TkD>_vALDq6YG~RY@O^>q{IaIuiU<;byM!Dg4AVcLB>M@ zi)i%7F~%JX(W4w0B+va!A4Nq!6cIY&F4lk=*}h|abdiFdk!G3xEZ>>47cL51xvr$D zqxZnr*wo6>(7?#Zz`#K7zOJsGzK({Pij1`AzS(6gyY-{FJ$rYv@|-!&bLF1RixgMe5>>22&t(~paBh!ca>dK0uLh|QFY8lS(iA!J8GPrN!7akVm?cwh3=IZ3+?Cb>A zITv?NZyz6DZ+Aa`%d1yBTs%B%baahO9-3I2-V!>i^voyv<=z9gUWWPDhUH~CrG9bn zwK>+ZZLP?|`iil=o}8eRk*%GB!*jbQHa1V5**m#<`uO?<1O$eJ1cwCq`v>^>czb!e zIy*Wz*jgCtYO5+}8VK$aGO@IF@$w6eh|7Q_$3}*Q1_%22`hn8m6&M&C3hD;Jb&_;^g9B_uSRX-3@foSl2ZmwIn$vBQ-v`yaid-R2#|_AH;HdERx>U$-&pdQqSDc z19ZpB%iG%r>Q-<>bZl%~Tx?uIQgR~rjE;&74+-@1@dA)uJT=wV)6#c(Dsj~mPhhCmGuHsGkc22$MRG!AZ3BVO(%jV8)IK=e*Gp(0oouZy zOGwE>pt3VElQUrH85x<7z_POQ3QNo2m2fzil1oa8^7FH^b75&|sflq>;URurZcdIb zo;-W;%r7OvCA6%m8N|8G4K+2$s)~}L+?*U3XaPtz48TZ9&aFWd78aFPmRIFx6=Z}* zB}OL|WM@{uv#a|F-Tm$L2vl9i#MI>M+;~5s>s4<}eO-A`L1`5N2_pQG@`?(0MR`RP z0#RL4Q;k9*5CBwpSy@qGK{hNqD=j54HYzkI(9g@$!^1BiG^;4yGZHh}hr?pgjg5#( zWECh3V%mbj;-Z4WysXUh^z_mWY;7$9)rxMfu4wLPug`;(Ry8+NVh|Y>sD_rBx<*V> z>#NsOAiV6rc1^#Tm}o05Lsr*USJgGt*42amYHPt~V^d>8Lwzl<1W^Z&QlKFRmXQKt z*~sYVSYU|EobrZdSX51G9TwZ(hQ`z&YEcLT0uHaLtSGA}EiA~%f@Q-hN5}B^4&1BZ z(Vp&+@z=xf!n&r3>9SgMN+!Iqxw^igwY_a{Y^rtpz1N0-kv6OMKP)pi*Iah zY5?JMOX9*MU*4|A{FR!f3b+-+Stjweq^flEtHZ-Ae zZS92afo>ew5aK&J`ue)ZhOteUwhnAFwymuVU~O$hV_MtVuvjeQYk;j9@E>?pR|B7| z0@egZg`;X4n=q{%J$OQIUtcF43&-?ybTrk~plWLBftuSS-<>)BUG_vkhZXrdi#pa_Jn?!K{+9tcr49^XHJ!*q7Gwl^WsxYo9g zw)V~r@Yc}|5J7-IADSD1fZo^DH8eI5%~{ug#$Z}IJ370%@LdFa5556akL#?*c48ar z(9Ml4O@Jg63WY?Wsu5KkuSUlg-gOgN8|rGBaOg@nX0SWo(WeUAg6-@E^}BlpdV7Zk zdV9JE-2{ABM@M^0M{5hdrLv*D6+pzdtGMQqYdBP1z_~_5TKoK2M$wL*945zS^;mvp)mjruB*EXkk*CoY;SJ|1_Yo0 zB6JHt0C`mlP=;=5YHGo@fOJphfF@A117K=}1Pkz>F+?|S0sRKhfY*cHL<6_Cc49l55~GT0%Cd9HDsxJjF;IEX zO#m32TR{4{ySuvvF$IN{RTUM!R&e+NHYT9I5PhJ`S46;>fC3EEYcT$rfLk>K!$GvQVq04J4pKl%gsx6pE4&1Ws3?i>jrWP_>gxb@0H+n;m<0!%2zVj^uz+ty zpu0Nin$RUETt{mIvb?gHFxb-p@Zh0#Kyw|CZ-bGC1)YY>20Wt)V1i!2sexr$0j6eb zLSS_jvbLb2LWn^e0kqfNURziKrq+~*=)iOwgr*Dp-$B3wjsP&| z0H_1k*<9ZOvDMPih3mpM7QxbU0YDt+4~_u&H7Em^f_w?Q02u%m8UhA<1oCQZD+UmO z!?q>|AS)`+RbXB~R3PD~>Z(TI9YiBQdcX%%yD>jKCp`le7ZjL}@9PC-YKP1KMg?@N zvjqx|$D%A)53y1)A#-ZD? z&EqR`D(dRM+*|?&i%vml1JD26WjMg?QBslEY)sLHRXjtxpl zj0W*gLJo@1SzZYm0)qq%{193kz=#I!O6VCF9_a4}N19{91j2A%V)hU&o5P4w5Y-$9f1DdgbBXkn_Mu&&TXP4fL zPtCrb9Br;dgO&g_?O3Aswt{gBScTR$Kq&y&4%`Oa(%6Kqs|Ra&VR24YURqXGYEfzE zu?5Gfrlykg)TE@OB0vlVEHz;AY^<$8z$=Q1^V1QvS^1Sk8PQ3oRzi1vd|gLVE0{m( z>KhuGz?cPV6IhTM(H*@bv#XyzFHDS%jZaUv6;(7tiv%>Zn?bRy)dGA4U4UjeFs?wK z!Qx+wtf_>T=M`mVWG8{3Fg2^mKk{&KE4n-cD~r8MU-HH!m-_q$V3y z0wSr>=9W%eL1q)C9u#Q?K|ys5Sgujkz^K6d^(}*o3$w3B`!O{w{ZqZ=+2xH*bq&Dg zK1B-i2buC!A>+2ipf!8#E^%5-iRbc%t%!g&BBqoI=BnFlHgF5oSY}2-PE`rG9}NvFY^X!G*HjVXD=6#(M_B+!WjTmN3k!?O zQ9X07x(KbcC56@4-fm<@N(l&Is*y+ph^#zNtpnYl&H!+ltEbx~F>yuP)yu{1uptfCl%uH~hrB_-emKo=B1 zufl@-{DLA7Qx}6AaMD_omy?r~k(L-89v18#9Ln@6vbLl;&p#j&oG4e6l$Do4!Eb44 zab7MgHZ~dz_0V`&Mu3H1Syf2|2+ctQpuGaH4am;Q2H|!_Du5gpmz+_7BQ#f+=Vhd2 z<`q{|mxc#t7v}-6+1WX{&<+Czih=_eZ8$1^xO zG%_j}Y@WeZH6$n~I503MD9GQ>*TU4y+|tewYzD!uH6#R5@9*vH?db{hdw_RO53tvF zcC-hF0AOqG=;G>Z|KyR0>0<|1r{~VT0fC_*0YRZb0l{HmP-|WuE)FlB+r4=C($VpS zy(8G2JG+2wy&HHrJ36~M+B-ab=^)ShG}yz%+uPUQ*Vo(A%gqI3IypK%fA;dJX^w8Mk zp|ORT;bXlc^y{*@*fGvy9LIUi@{3DJ2=ia$ z<2!%m?3vTN;&RuORg|u8iK4u$jI@lb?A2>>GEy=!Qc_nWuU?nCBBy0!Vruc!=H3l8 zb8xBw&TuSDAL?n`zNxHo>()&bB_(Ag71i6SHP-=bt^h zt8)8+rLm6o9Xar?@=MFfii?R{x^V8~aS9S}vj%R1wt>q-8rp4SpFb>54venTGVN#G zzyHAD!-v>8j-TM<;DAoOI5@evxK5trId$gDc>%%8!cuaIN@_YcFP)UsysNIMrKWmQ zMMX(YN?cS#L{Q+;#f$ucLV}ks@$vETUgW=Yf%lStAV06D98W*~%smx>OX6}WiW0(? zxQ`w=e3;|dA=Z72;3|`*r2*_xONz@XDypg*&<%*nnws*0;;K3SmZ9f}m9dO8b?C62LyTP?6xFV%z*vUXoLrG3XNkg*@ zkWWKPN4uSAN2h-Q?GZ*wD)Obdxq-%7RAB}TmK+}+;pZFR>*00&6z9QxEJu&;r`yRX zbX7r4N<>Ih=EiNcJIacRidRL2Boy@>ynKBF!N>zcFESxHHKz;&z#t6m1Xne~W0Uh6 zpEfr>l8{ksqlSzQu8S#2Kfarro}8XrURj!%n0yUxg(ty<@aV+i+QR%7ifKgc66MDD z5Uw&K%FD_?UGk!!nBZjzalSL>&!0W#5t^Rvd*2`cR#w;9+eHAL!@Qpf+_I9B?>Knu z5EJ9R1MJ7SPo3u%;1|8Fb>G0m^2tjVa3JOF>ERs|nVee+M*!3IbmQ7PdxwXI1_!#a zbE-R$@*=|HS00fu;;kODji@@Z$bW+MV0C0qg8% z=RSW)=$f|0Gy9izk92O{(tF|r?vlXKSZZ2oLR1(ue+78FFn##Q%1qzjsb@%ZESRq& zA{Cwh1%^<1u%)Jck_-u+^H%#=IN-_*Y~j3eLP;~*cD zt1pwk{W$l*y*!2ynIXdN!IHETj??rcJ#&{FeTbaw< zx4)lM{cI=#^bVB4g6ZS_X#Oi{s)-` zu1qd%&LNzHD&9V-*Nc}l1ivaGLy62aWwkWe^5#2lna?&X8%WO21ds1@9R9cyYp*?Mq6@| za~p==&X2dj(E|%4lwhi(Vdjz6d2H|O5t7yNmXeNY7U6qS@TO-$_tF|E6;ZUrE+)zp^TaPitCjJ*n52}vx{;Z#4EwtxceRUqKMao3@)~%>W)og5 zl57Jr*Df&avao>%EcSz`?bz`n%#`D`dHMC@WIOk=ZN(DCi~I zd+azHWp`nI4}*Y)nWdSTop)Sbd2y19#7E!VgFJC$g4Q9K@TP<8oTn}dUy+qpRJ^XF za_hF5+MQcU*Tng_SQ)mFQ_$?(d+;bH_vs4)qF2CbDle~~pr{~!RZ^JmEDzUlPL6|& zWP^E50;Dw=*@*VuE;KwhJw2xc+1T1MxxQ`BVXo7sIN5eml927-kTh@!jEoKs@&VVn z!QmiMOUkS1nwp>KsR%RT=QytuTs27!x_*F@^Z3d00^(N{RaDh9weRWb>D|}9b3(P_E)x#@8sUM`L<-XRIFf|BBVurkEPr{+~*hvvUf(b7_V znr-HTrb-^Bf!w;Ks!Dv??#>;cSwmAx`>xJCNObOMYikijQ$zjsO(l65@yqAA+4t@sUmk8L zPml0%dSYs*um8Zv*aU=bdUw@S6l5esg@wT^scq)y8<}2QjqL`HI=z8bvWba_sn_87 zt(Dc4cZ<+dLvQBSNVYNTJ$(4t7!ka3}O4k+TugS_tU6BAW7>K7m!Pr`1u7cUltS+ z78Vf|6&2eO@J$57NWwxy0a+rVV&W2#SEOa2!J+`TQ6{SWUnDjE%KwM~aNG}WBYrK! zyx-*4g?^R#Q$^_KuZsPL)4pl_so7tE`JeRZKLqw4qX7p_;EwOVEPAgce)`s z-{rrD>UZ?~riPgOgH~`D2XCJOQ!HN?;VDjuluKUxXc==-W7CMNpTSpRh(zfe#u@^x|h?V}Qf z6cznS(JyNJmy)*ZQ2hrqVxmN=34Jr!|C##lhW_e-p!QbM-!?-mhWfVj0|esYKVtix zOGAx8XWK;i^Om>riC6E?5y;muO4K0=+WYg0TkS(;`3;ZwPk2Or9AjUhe8U96`>FLU zEKnCkgb`4T^P>Kh&a1`3h;5WxHX1Py2v43cmD^fM-? zK9Y#%_h`No1a(tH1W7b10WOF!VIpl1nLmsTsLCHZ3h;pDi2nE0;X$$A)%#VQtu&}b(P~r`sQ#^G zF_D@Y)YhyZQjH`wMJ)Agk%4{?<RH)jY`^hgV z{4wckCm@}_jZ)Mf%l*@o{{bm~+B9S|Xzuy$RexIY|5*mnOrrnK)cvdIUk3hV;9my* zW#C^1{$=1_2L5H>zs$gYGJO5dK>g>tf&YxYziZ`RJb%s5zx@0)KmX?b%fSDS82Ibq z{`ExXYk#*6j{dsF|0Oklxqf}s|5qRXm+F76{`>wDPq_Xg^0S_Q`ujVc{|JgdY2^1{ z{-h8wnaIbVld^Si`@{QRwe?@g`w0Pfz~c{?{*drr0RkG`QuHGN=$;7t(E$+RgDBrb z1Y96NkDq`Wgg=1$`7HSlU_p&Pr2QcQ6av@C;EyGQfhzE1F!+aPAlbqK-Czj`K}p~@ zNZqGIEfp}E_01$J3m-gc?;vEkV zBtQr5!N8w&Ku`5-$sdXRn)1WN*4OI4{P?Ey`yn_n;ZN_=wr;i{%)e?4*g-^C0P*z( zXbXr4f>`pmX1DtMyXwDI`TM5^zF+1;*uMSv@#y|LeSbu@W&iIuz}+Tv!SaX7-(W&n zKR-M0_4ihtKgs+pnON*Qpx=G@if$`ytGQowAEf<;@o)A0U4cKv^8*L}?CalY`bYUc ztNM|QpYwkD4YmJU(m&GncZL2&<6mVHoBpA|->LdX`G2MG{~+%l>H6n|{zmgZZ|L8W zf6KuC2dOVO4tQS7n{_`Vio?Zqj;=dmG^>qRS2OC$(N;IBo7K%_bgpi$wsLiMk6PWV zZg%AJdl}F7HJm@r=R`)v|1a>Y+wbV?QhY}EE8JE^#B|a*!Yb&jk*PP!PXtkjE%Fy0 zd$QG-cWI(aa?aU+J27pslj$X`v%LYkL`X@x&0DxMGaua!s2W3h;A-JW_K!^er*QdK zn$~C&HdTPc)idPu`KYiJA$AFUXHHmws*$fPfT|wi`k`e530f23JHbp(u@wK8m z8XtJ`X!biUuLU$Rf#TIuM1>034_wQTGmI(H3{C4MIvS_746e&B*;JZWInC-Todt4J zr*8SInu-v3-b3QbcBF}Y`>GlAD#}!thW0JQ@n$f9;+mTh!}APk9~n#ioklv!xrYgz zku$eOMa@}4nM`O3ppWG#-W55uM83T?w5iUQK5qfdx2dSXqtS!3wV7+!H9aF_TQ)+> zq1KL$_TqGDq(CxC`tft+swLihT2T-&p$V~~CYtN=brJ9m50+KEQ%ULu2zDTTxi?5G z!%@~%YpgtQ0yxl->^lrHxi`eX~tv^ zsENcHP+`UW59d~%nJVocn7ONKMDb3sT@C|1(mJio(h2GBnl2$s2 zJ(-;CezZ|a2#p7|^~r8;{OpIlwrVc6z3PdynsNIX7p7=|W0~;Akfx>fyk?_JjO35L z)^In`+Riv8sf_|SwLf{Dm)}r^Qo!Z0lJV`Mz5J4Y&$i{-mV8w_3g$dioB}|wR~)0y z>W8Y!OiM`X`#el(?7;=<_Xu$&d{&J=cq!8fQjV+Y(Gll=pPt)-B}+?NW#R-z&y$CE z9LWNt6F8by-lk`WFO1;;i!-6*@gQ*bX`3E>&_Yg11<#!E>NaYWl3Zu1Ob*KY3pXFT z{eYf0FWV7Ly=L5m8j=+2tPj7Micim!W=mt%u}#u}U31S5y!(OAova+#9GGl`_zSgl zBrY72EHrEg@y#tiR2T84>kU^gI0t=3pl7rBvUt_?Y^yndx|LV$PO83bh~&MWl{t1^ zHhYbqGCTOycI~P(v*p~zR&5+VH4>0JcUe<7x+41#XNv5Vyac zkRHuU{AvGhZ+^CmOXpFX5n@r^t!r*)F>M`)qMT>>OXmmJw-ml|3H0+KxR|V<=f41; z&RoQhLOO0LdGVr^@yzbFywbv@1^Svg1fA0e?vr>j$K!qlGhbOak6R@Otz z)c-**!hNTvP!k9s4_VHJuy{+<6P$iBxbItET&sC~ZkR>fAn7Ek4x>7515^mMfBm-=drCia#oD* z3fxnra!$Hl4u~zk+0n}W`in21$>xX;0FqULggwt7+_)riF?GET0?D~D45;O;3m(X0 z-VbBOOQ+6TxeY@;`2Jh*nje;6!W7=1&DM>)6&)z7tAZI<0B_#@*Y zRWMbIK^`J6VfZ+)IlZ1p*X>Jr8E3>6wHLs-$j&TTedNM2IdYjG#X@YrNiODz5f#06 zWw7LY+<3LDrM$9uzGAHvx|GE|pTN!V@(uw3Dz{2wjw%;P6AxUvWO=r^$b_|m3vgQK zFnuUp#!_$|$FiWur+UOq(nOi8pQTzfGQCTKtCtd*pHu|FCp1jt%qqr9*w*Y$wsIY@ zuw|roq$?W~t^44(Dx@h4RgXZ$+pk>{01PSm6I*P?ZcQ0hhI_H?>{V7sg(0CCH(uCI zd@qcxmK9^s%eOfmBzA0@2}r#X09M7_MiA^k&E<+re0(=zPw!?t$!7inXu*#{xvabRDwt`$ z?2iOijdlt9_e}4Np`k|>?H!Cc3c^$7{e<%=q~@9!)#<6Q)UeXhwv`JMw{`=t zSB^vb%06q)xkH#T>c^d#>PwnrmvyxE;0EhlpU3mF(2zm<0yJMw&lkfAn@=@ZCpMY8 zn(_X~$J^?2&e^sxhE&Z}>+RMc(%d2g!;6sEWlF=n10!dk@O3}$ACz>|5~^y&;^gY3 zu9;pK-x?ZIr9S`dcnGD3ye+kFsi>28>GqWmYNmj(&&mZV6OUp76*?JPp4`-Kl;e!z zl2=EbvzEb-(Ig~g~L0eKfoCbyigQgMNAHj!92^>fI z-_bcYORfH`r0wp(B(#$%x;&c>=V!1_bW+BgT=COo5qL~FXJjDS)P8t}MB1KBXY0io zlEaU%?{oTD%!X3l!b+vU@#xh7sW2%gF8VUB#1@Bu4o;#2FR3Xc`Gfn|-Mg$UD6Ad_ z%^W1+L%=w?JnV~{xAms}NVfGtSpv^7bJ6JOKCY~+H|bM9(b3nst~d#HKM+%p7>Q|P zETp^>_~($Oz}_Uovz$wh$5KmL6EaG&Vk~}=SW0K!zmG|@1w)1US zk>nx3*KrR(M7Ke3?zMB=97ut}k!x@@B6M|(|F_asy||1wSI2l602zv}B%xu&b1 znu+e&`N@7xCK z=&LsGnHvRaXE9P4X`LWq%et%Ze()KXjbKS##5ifX-28n zy&Q+gwtL7{yonQ;_e6|GxtO6PTq>^;2&!7(DLZG-6A=vDaj=sD%EPDkBQ}E$P>9J= z^+vck-G~HFr`zZ{pSg5*{RY;~9)yGKeOue-EO)@l%iMKD0#?2Q4f#njJpy%j6NJnm zD$36efv`CJNV1K?Gg3PWfU2k4X&(eRg73#JA4xNVzM0wQKJuQ)d_07^LI?5=H70Kl zYcl0Kv6fAgw~ZU~=dfGBnH=(C{E;BZ_95vTIwC7NOkxsKwEp%c#!VJQx{T2&r&b3N%M7hYQPr&eT zjZ(4It8t5^&+FF`>Ic}2%4WI=?!U!WuMz2_K9mn%rHH=Pwdsx$5YkYuW@UPRRngg@ zteTJhzi6yKkCwM zwsxpt-+I>;pOhVI(dXum+pf~UUZ4pxz%NOq@rsiqh3(y-|rsfR!F$AYN$ zby^lbCG(QQw+JYbcp%^K8`@!-TPi(0ovdoMu>@rnp$NC=Fi7#=cd z#%_J)i5d;0DOj)#V+KvmS~2ek$TfB=IIr+PU_{)O?UwYc=jsC|{W@EmxWr2 zQnOy5yv?1KkEQ0TUC#trb3%;@)0XUY{jH4kI?4APJ0Q%8J0d`LTR?;chTZgNbmzh= z(Q(+{D?0LmY8AG{?yf6O0j$e9LCmA1ymAm>Hj1v>ts2`H9WnCZwp|XPvO^l+Z-}qO#lA##{_G86C);ycAKfLx&!Fr)lnC8e*PFUc}rP`WO=7Y^#KR z!C{^*y$xCeixNuR9m(6sjp`L0*upJ@DCmAYj<8|P!ZUw3ig|J>UVHH~cpxVG-F-7v zygQ%Th}!=a!e0WrvWerr&$SX!DKMCS+at>N43jcg)tEiv-b?1Y;y@) zcwb$I+6Qq0WoqCZJ{@ceSb|Y2t1ln7$%1(nK-|RFy+l072i>|qcQ_-1!4i%`UU9Jv zmeU_|DIpAX>={E1H~b8yW_igYlbB#mC93*cM{xR_nl`QnM9sGBJnrnMIWDINDyMe5 zU`^Q^?^=|fDn@H1Syt$ktO5``NfAmKz1%z0A{R^!c_%cX>!bDwE2(@+K*CYE2;Ig3 zhiT~FXFEtyYx16n)pq1r&dgmKh18xWd*Z2_f`_R~Pdcrzxb$;o)_&&5lHXF7GU5u5 zTwEQ9AcAPUyzcllDqC4v)wd2P(rHwM8d8%`Yq$j{4C#aU#WPI<^YXeMx3-6g-17K` zY9=K??a5$s36P>SIHZEmMQeOS_|2^ih88-)S0Aix6BM8u@hlRdrc!as%BE@G*ncRo z5_OF6xeKnZc&!h_r=8I3M<9y!UNV(E`$LnaJW#<^u0cojz@<{QO7+X-eSChs)hD^1Lzyo$kM}Ex`oIj1ExBAt6%>3WJ-e3nz>i6xnJF7fKOkBo`+9X zX1<1?Wt@m7SWZ2Xo^?rUn?ksyh(ks4vwYE}&fVf7b1M?>9nEwJ!zdjniM^yFY6c#3 zY%60#)e%eM$4q|9n0c1lz(SDM{a}5ewSK>H$_jB{yP zB47~*&(0UrAQUoe2)G=A`>V~=<08N@&`j$;#V4C%*X?cTOGbJ{Wu9G*?V z3;rXjyvFd_z34*cxmRQ$n9G-{Vg{D!5Q$JpOKTLvKXNd}%>H4Qd^!^)#4=1~9Nl-@ zFK6x1-Np%Z#||uvVRM4t2zVnB11Q*{;OmXkT#*O!6liw|sflHxZqHlqKm_Y@Rxw&D z2V`)MDcb3XOOe)%R#c&Bq*JzzBZ6WdNMXb#ed*1fpe^YQj&bfr zuM%Rm%9Jy=WXMvT7&u21aXRw4;%Jpiia~jn!B*v8Vj>-b&nO!E%-%yDCNR}ufvecW zpjTiak1}Vm(@)#FfuKC4)sj6TzS{;~P)g^a)3S*wfFH=;DVwiMICQ(LvHI zCW*>*<D&`s1cq(qo}Fyw(T9P8y;w#ZbM42b+YqFW=C zmAV;(#mTzvT~*@s%5%4V*zAkYz5*t0`bF!DJf3++IOpgUH3UUP7KgCmxJuHk(#aTk#~cy-6cH6muuMT@Tj)>&_HvFCFo&K{)>_g2$6Et}Poo-2qn~ zN*(}<3TR1d3Ln4edH_6_*l01|T5z!3rmM~<6!__&DOOLhZacXsS2P~-H6&!micT0( z6=-e|0=8QGA1Ka^ix}BNfJtga_MMxLxkEB=l9QnH@E*0i2~6x!^2NfUl%qLr=X`&o zT|PIix>F(_Dh7kviwXjqA))w_-EC^U=<9*UJ!`PCbVA+EXqK4>AG=g5-sJrrduGjP z*t?8*y`57BB?mHg!0FymVphkHI5r-n!K}X9^4alpKiwIFPL7(2#gdD?!qkbyR)a;6 zyW0Fph{=n=f~^;VYSy24DSDc_?z{@Op&->Fh%LsLYjWZDAp0mA*E`uUm<(^8?yh+a zDcJJF%=M5VUnijKAo3Ci`-MnGX@*ehZdq2)9x5CwnGrmY>`#LVqkOvhD>QakIx?Qm zg);~!9~}}zslCoUDo7Ts&GwY=rwK76AS~BitD@n8>@MEE(9&a?lXGwc&U*^ zd=#tdHM)>Mz0${2;{E|49^73)I@|3J?e;R1oSU9TZ!r|72*Ic4bxawuL+wY4(j+cd zw~w_fqvy{)F-(atzh0?IsuIkX{sZmmHiryyI*dCyWu%1^8m}Wa!6OfwgkZ9XO64St zoa1<=I?|9TQkvlKE6#htP!Q%K;WKijGyLa>z5!9h%2P9;{ zu>ow5USxo^cit11)Wn3fjh@gezG)a6Ojbhj{nMq{={L^3=gaX(-Fyc9jT|_EOZ~|* z(7cY?tJ(k$wR|>Wgz@N9!hvQ+g-=A^ON{tvC^eVX#)mcWL8fLMDL|K^W031%3xAV)g4T-SmHrMTE%y09SvuqoWgYS>x!U=@D<|W zFzy{k*A3IP2?F->NTAC0$8?{#Tx zj*Myaipv{1Z(tOirK&^XvmsrAj>M1PXD@yA>pA4O@Q3b0bdTgR0d0p$uSO@k6m7u` zU6$l&wb;*Uir%9VPxKhFp^MkTi`RRx&H}z$`Chud`3g zal#HsdmmFPU{KRU)zdI4eBRfG9?Xkqlpx?~Ag2X=!yG=(&vFQR>yE-7dXB5U)Bm_)p*UoARp`+v5#nBXbu*L?c90cFvq*kI< zqn;T;4~kNEm`Ug-%FvqhRQ6*LVp_7ExP>gh0{DB-xbnK!OS4ICg=8=^+9$I&ZEI4L z{}IVF@*@y2;N0cwO}ZbJ#-916Psej$*ItP|x7b;X;H$oBS9rRgaW;|IKd)4LMxf6E zn+Tyrie8pdXnk!}q|sVtNMr{Nq!LS9X_uX!E3B5=gaWHY0O31~wGo5cLc6<~m`WK7 ze1cSqd@m($5y$PV^!$Nv!L1uVxhruEWs`)qQ@DgUs+FIr8%}4kq_PTf{e`8GcQ24h z-aHiZ;5i|b0}?VW+xE~-)8tN$Wb`9VfP+xO_~TiUfyUxK`cW*g0eQhVBcP9LEU9Kc)1`01kH<^N6TFsF5)ZLMf75a=V2repTUgQ^)IDEhoeY1U!7A> z9rvCF_N_e2-d(~Rxr4#|Bse*ZI)GG`iPF$><#b}^VYgY(RaxHXB=ZmErMT#+Itj+M z?Cj>OBW%3bw+05amBX@_LiI4!yO8VnMvjyn+FlAp6){>C&#;ucj8JN5p(dLI z*jc%LpU=o~*31|6Cb%mcz24DDllWLouF~9DrVdVHEpiZg?CyTH?k}d4p_DA`lsmuG zd7?l`(t$0h1_rDzFXx*i4X!yT)~6xJf^3r zq(Mo+1qPSGa#48uw<-<`jL(cj1Qoppuq=b^ECSnge8(lz^$1~cC~1SI3z8I91-&Q> zg%FVdE%`&s=xd6e8m~rY5I|laQpyvvfo4!uDlMnROfRz^frk~wRyNSanZi7*S2@_6 zpTm3Lgla+o6(n6ys-q^<58TS?fhi{FZToyoC4gEp}+o@6LtXcEI0u*W@uMbMz z^HiIAdF*=dz&3G22zjr#V&5`qcYG6z{>1l2w5K4RSXK*bStXx*<8 zS2y;yoeVJu5jS^0p2D_4ux^LNd)eqSer@XcVR+MsO@+b@en-AH4ankyhf#qvQpUGY zNHjcQ-^-lA2ilc{7D!MEMb`IK@N8qY*#j}l4x_eEw{0ZLFcfXBl?iJT}&O8&0eggHoSp$)IW`~clv3Zss z^sGLUqyyl&ek0K*j(EL)i-)x+SMHPhY@43bd!^>Zwpge1mbOVc4=2TEd4AIZh6vZ?U8 z+@49%L9yc9%@diF4O)Hj9$CE9Q3x&Xem|`uo{moXbh!{e9#^dN{v5YnW;u$R{f7E+ zBl;Z(X@UOlqmx;P z+$<6QgT$STBS(vgi;+OA5ekYH+6tb0I^@_}Pa;E6Eb-!KlUqJ>6I!P8nouK+AUB}e zuCP_gm|?wUjH1PtQ{xT97)kW(u6QA#GVEgjglFz>fn+;jbiB6lec5*oLJnl0m~0R4(2wrI!~s1)k-qIT zxKJUh_M#{oP;8?Vtp}at#J#b`Qk1rXQfN_hz1_}7#IA>1`a_dck7oCUj)piFY^_({ ze@&Hp^P_;Z*~_V2(UCW(2z%~e!KuC;tqGk~DWRdE!H#DGwR!i5&Wp{^$ig@uWn2xWQBZC*Qys~sf z6h}&GU$D@RUT3JEx0~0?9G8Q)ABjWWJUmRiEfqgcOMXtOm`~<{H>#(msOn(@BszN? zbAB3TR9TFF!dJ5N-oU!=m>_SbFz=t$kmj$W)IjFI zqDQ(NTd;FlM#X!7+@QL>&I3V0B^BygLvtTS;05XRi*vxc6jD?grQ zwx-wYCED6#9g^#_1(utVG9u64Up%0`rpZg|1#~=8 zvt%7!>+&A;RU|JxrQIOpAXCHTdJTOtD=oiyo^s+diTfza09#4XeAY<)dxI)+;dB6@1NI+UIuyQ<5yuP)?k z8a&I9o1fDx0$A*|n^!g`7zZ`A#q6C@E&nIjmiH3MM;p6yWLDu+BWl-Ifyh`k5;OqQV;Hqdkt5O zeUrL+;H0RZ$M&l4Xt3M_8pQ>ObI)xUQ&ff~>Z7({11p~z3LG#;Q3Dhbor)A+-q&x; z5_Mb6cz5_4tMj2dZ<-gLDT&BYqB_IFgg;P>Y76q)nHihb_A%Be?ezSZ5HAZ9Hb2xs zM65PTK~Xl zzisWNDj%8uuIa|6MrcY4UE`eFwyxHrDyI>;5w1E3kQO%esssZ%R zR;t3kZf%|-ifX&?^w=<#^{lc!P16j(v?lFlmOpT~O2YehD^C3a#ghvMd0=S7T}2Q> z%SW`HIF#INg`b<^c?)Tky^QPG@jE)S|f7o-8+%kYD#0j{B{K)EuvG1?Ra;rby zBA3=F_w>W*9di{d5gMa4IT+ay>zX0aO?291%?G)B#W9GvE7o&bO(1&qyu6fpuly8g z{8+@=fZX^pQmjK`zjiAgwSQ81#PA3dr9yVKY2$ug)o4B_bk0rU&SdJLw5uI5gi(Sq zuXLuDI8H)0neXRbG4l&KN=$7jTc>-MZI|6B=XF*0hj)#cg<-J=#L6Y1>e*hfS=b^X zSwBiWm*6&CT_kZS;TIk!ex8I$@jQu5I?$b+*I*Vo`SGAZ@(ih^C<>_+_1(_e|18`e z9m=^Q2G1vb@WVAzH_Lo06gMPk1|iMXx0} z*X=U&-`U)NNkvJFqS5j*69`Gfa>=nad7Ko|;jmCgBodAgFU5PF+%S6gB$rakmBmi5 z%%$klC~S?&d#$|U_~A|UXg-(^$=?bQ1_S!ovLi`1Ys*!J+1Jwss7*LejY=2^{A^_w z-}OdvEEU?Q>t3^z?~Pw})0Yzc=j7tk(0KxZw3JURc=W3@;!I}V@r)vA!qdq9F1x-} zDa>yAmah&is|?N)sQ=G!{(pvN?aCX2lBrKh*~l7#MI)pI!52J5>psO4ybZ~F(EATV zs{q%cmm>1n^(ug@+fN$w{PcQ!>{1vg}8W?11gWv1jHazJ84vvBuU6#pw)qKY)?RAs)Z`mdgz0)k?yDcEL}mB zd^?ZFP4dAm@JT3)WxC(wtbYD9$_3Nmz z|M?3~u~PW7#8Z)^+X;KRVT`hWl>L+>k{9dacg0`iKAiVEH#}GJ@ro6o6TVXddE315 zC-4P&d~sBYG`5f!80y!uQgP~o8B%5vMX-6so+T-gWVObcQsn(i6TR5;_m8suqvkK4 zTjixkK}18$nHzz{C%4eZ)9}{A?x`NUBBMHS6omXL%F2;+yD8#o3_xP6=QB0 zp6J4VG1jvADSijhgwG0iks?VNZAURNtLXol7O2|o$?iwC|1=!y-7&f%e4pWT3?GSiilsd5voNkK!Aervx4U+ zoFeC6nwe?c>QjmE$dhZdA`g{Di8}O+$%)F!EeeZ0E44~yOCtR5{ZtKUQ0BiXF7LAx zCCSs!80)_Sh(66{e7R^oQ^~1?xe3>Je}XJ z#(IO8u%f%@5(m#`oKOx%u_fg5-VnV}6dx9bVnw6YBDgF{7c5>iM7mtNwh&LFXhkXO z=r08rNbL_1(Ins}qsjnie=&i$#+aGZqt7=7)tx^+NqW(OOE5cYkEAKPH!Hu ze3=uFp@>FiT1LSiMzZZ(6V)okPrvlt?C7$jiP#XILPsL8goImaJ)^RSgGXq(d4ntj zST`~nd8=8598YZ#5S*x(#tPX-5|koa4L=iEEOFp%b!+ABS3Cy!Y;PTu=VRU#N<3B7<%t#$4N2kP=7S7PpLdB)D@KaVvJG zb7|@~)|ghYGUXdblPzui^FRv>Gl8Q-2|^e;{t|OvNLhu+^95tAN+1N;D7>hqu=r*I zqm7PdZX{kb;tgaF2I7J#W=!1l>sn=iCXByz$}+}mTSGryYn$`u<@HeDYpJk5Bu;I$ z4k7fe*Cg2N8mxABX~PUh2b&>@YP%t)4)|ZW)z60wH)F~^_`67F(r4+uL1VnxuWh7= z5z{0uv$0ziN&8`{hJ!z)!^O(qS9^5djxx04TDxmG;3QK1b(BHN2j<$J7+gv}v{4E) z7Cdo&ee2D_aP^W$Ww7l32?Wl)GVGX$hl&~?62CVWEk2+I{-fEL!`VD3sJ zkdY{sb<7(XAs!w56&2O>8&&bqr(;&9^CZ$Gr(zNdVG zciOB@xaaXRlTI%?7HTN4EQ z{H^Jg-*XhvWPCk=~mV8Zm4Ye>{!mc zgOH+kEXVfP!LyA*CYs*td&7`$#-457I-$$_6dH=+mLDR~z%|wDvIdmu!~f@Pif)RG zu<)<9#Ld>nPU@JhBD#Nler$7Eip|~p6s&iuEZ5(1!_eygWxmT)0}5qk2S1VHN-rIN zPI3D5f-Tk$cWi1R*CP)o5;t5%hR=V>W@m2e5*o*Ifg>l9Yy`KNCM*t8Oi*J4liNkv z=$PK=^k%daViwE7Ou0Y(H#|s-BAA3D_K79oB7o&xY9~O;7qx0zMD2-D+m0X`pF%#%TLDG_+Zj?OBQGDTu}kyz?%5eI)n2waZ_%42ZYNtR$=Wu)U$wAJAFtH2gc5XaR1 zEuoz2*$pzqw!g0ywY}9inQb;!vYP~`%-J+*D!fAL{n~GN?=8HNLV=8iimZ~^#9NWoHr~YT zZ6H5DqQ%WPNTj<=_p(LN&MGNWi*%>?v^3{)&ww!wz6sYAx8&c+sd?TL{mD4*TNp7u z{~0}GsifIA{fBaEz@K_&cSQ2=wThJtP-#Xa1+V*T;9RX_q1%a-W3Iigm`xGyHXJZg z=EJ>N_GUuFn~>&Abh+7DhK9?zEM1rr`9X&KiT{b-bH4~QS|W={gQhpdT^Izq;VNH8=Yq$k}M1qCWdXMeBlf{xh%YIyLN z1rG!Hy0_;IOQNhmq*>AZ?o(&zxoQ|t^^lCIYPHxeDv(bO1xEC@EjLf3E;qx{3kA&t zmmNt7f2c?BSxQ4a*>~Unm`exkUwrSFb-;q*?NFB>xeU<~I@- zZOyzsTZ*$``(ZX9bXqX9aM1OWQ$cmoAFlM|<>02W)&`Nr)_=w-XvtGR1O?j-4POr8 z{wQxUf{QbPMM9gXj!rRt6<|SjNHRFIPTBjTHWz>Dz4X}7yXzW+L`MTvF>Y!cIKOu0 zWHo8jH0IRUf}VKcus1^bK3{f5u96HtuEPR?)=4i4MH~f2vKxd$X95p?$E}~IXHAOc zonV*X*hsH!0+}bn77x~oPQl+cuJ^tsE0zb_x}hMT)?&I28OvBo(p_C=(z6(UKO*DH z??LJ>qUQx>WVgTUNObx&)ISsuP%igVvpK7>_Smp=k&H$I<)Es!6Er4CD<`|k-9A3c zdF0vqskrLVt}U)ZQ^%>TWU63Cs2dl3^J`jx?^xCT!a`J!GR- zBO#LOE2Sk7b1wg?e?{7T$-x}_uClwbRCEZh+f84!#a{qIzhu7&#D?va9%FU!z?0t^ z0H+7PM}Lb|-c>8SO?p=*^^XSN7Ld_KcZE@JzBl|sv-8S{dW*54K8ks1@J6fsMsUU+$bVV4Nh6yqc-Y6_~v{sXy;m9B+<{HkdHtz%yX zV{Cs}jVC%n8_l#}u23<>`d;bM3JX?t!RlvEP!4_=u#4pn2NNvF8@TeE#ss{M-F~Jb zE?}uX7*;syXLZM5Q4ySP=~rIw-TlV+8xRYkPO1F%G#WQ?*z!}=FsU4l`ef#=FjLej zClDGWfmxglHUW2fYzvFkP0SAP#Htr+Qhg zCm=-f8K-p=-#}z#Emhwm9}R{Yp`jLO9D>kCb)d%)m3HDmOYh=oIT_OT>rGlZ=`e(^ z2q1YGWPv36^lrpUod0fHz93M`tP;09hJKETlgnEaEK4Ur)@qU*1N5;kG zHRd%UhuBd9mOk*e&f-7mUynVJeiEr_d;*1*HZC3fWJ{`f(LKt$D?Up8*H(UE+fa4M zLts9shEfYljBkfZf7A3ODX^R7cT_8|Z135u){*~BGr3Nk&fVK#8-XywW-v+53lQs^ zcg-;SH5Z=Rm8= zW7V-s4$ToFZOvfil4Ajb@#vTW%}?Xa$sR1dF^#9_96;q&-Y* zS|DKCT^e-K&lk<<7Aw{?-(&#h-f+8v#+FqMSee}+;esihf%UmV5Rbd2K32<9ybj8m znUD<|&enH`2y@GO&?k##)i7m(Oyd6n1-1>szO!AaWD22}Kn7ma(FURC@pUHHlGg>u zkp2iC3%!ILFjr5Epe$1b@tvkO03>LArof1HS=E-E?!6`eRMHYTg-0KSpT{ z4R!c-oz51ob7XrY%zy7K5MGF6tW?^96YxSr~(9P-(tAnCF2KwANZBEvgVLc$J z@FZeTGPO) zW9`sZp5LwwXc8m?M(;`F5)40Ll3|J7DF058s;0c9?KBU$f8z=~av{8Q>%H4~ne+G_ zQ?5`qj{${UwEg|N*T=%e6eM`K_achDK4cEr504R6m=>h7BduJ23JW;Y{%@wFh$gdj z2f{o6thVEk{uSS!feU)2@v8g>3*!Xsn&}_Ag!9t4!n8^bw8q90?~zEymgBP^z=dfZ z3(5;O&E1ZB@?R_svoSNPtH{z~z%RQt=ttI#i}co#3;&)Tr@>8pvIp$xO30rO?M02` z|MLlVpRfh6_nIHCnW(z8z8N{2D}<84>r8q}kLMZzkr8$*E}^R^E(t`M6ce_2G@Bnq zSj}Pb3j7qGR&82(f1(!D2vC7Vw!fxTrX$Z_WHEeO#`s%(x}gBGS^4_(cpR5*?Drrm zndLMajhW*S28(o%(U-b(zu!rEC|U$|qyL3vb1;ZzJQ&nC0C+SS_FH4Z-!iZa1eN8U zl@y7AxkSp!VNZ^ge1G7ooC1IYZ2)Zh$zb@Dkk3IEJ48wrhTvyPAZEDs zPLzPlTG1uR1i4QT1%>ynlT&r)nWYsqj8d%(XK#Lg(UF1IAcJ`lzRQGYUHn4Vnn6?) zLnK?heiA5M`1HGeXPAX2%ra}d$kRDlOd1L0UVba7p)n3b+I^?qyggbrOot%4CA<@! zOiS}W7y_|Gjt|~MHf=4w2|q-E&aC-_04Qm5+jK`Rk5riOBF=uR#G_KLZ+1-Ftmc{?tdw z|Gh+bdO`xY{x>VD{9pK0um#Ej#d?8u@`6NSS#(cYho&d#GWZL~+VD0}tR`b_( zyK%*%x&TWOBdp^>p}%!w`rRE_n_hlb7yb7WQ2=TTJ=v{uT8^_jb?Ux|r%YDdY&B1j zO?!Cx)53Rjjr)6SMR_$%?!WSwCo=9VpAe{DM58;4n9pyFTLqkv0??{crqg+bfiU@H z-L7946mXfz!LPiN4}pHG0D1C!@{88Iaq3$H>M8s>R`e!QuqI_WhhPsW*5QCWfgH$7 zM|wiX+cB^DB2O?9G%%qL-JEwoj`NQOKI~6LZf22~GmlOcPa4wGemu~4ektum&%G!1|eEEaq{1atazM) zRItQ)T~!`dEuj$6e;Imo zQ&`Mm4Sz6{4#$VQcpBLgLxJUG;GP7dmeA)HHP^VQ9LRT&0^nUr@c@8E_1k(TFQATK zHO}`GxAwuFr!st((7i|NzvRzJ9T9A^PknXKLvNhYCCBjun}25Q@+)aCf@mVQZZA1D z06w=Lf(;zZrJqomL(v6XW7zd?dPMYDw9r#7@-lcI8PxQxu{^R2tgkSMOkf-uE zGMXG;#jL0|&bI8+zY`$$=9v2JYymW>aATD4egul;67%v|)*>K{L0N9>GU0H=TgbU{ z?(V{UAtCYq+Ib6rD7Wr!ly0O&1St^#MMOk81r-pG5GfIn?h+7Gy1Tm@hVB@KW?%*w zYG@Dx6-5y&RPgQx@ElKk=Y7xp?)U!Bz4u+hJhAt)*Ke=2_I_3jO8c)3jVOsbNRSx? zuT7jtX}zD!8aJ{%jj#PkAeW{w#qBd*W;JSxyKm}x+;ujZOJ87bHet0ZT1=llmQ9Cx zCe~XHF=bixuu9FXsCIpsK7IQH@vLte9;F3wHpY%%lR%oXdTTx^f!$43O-%~kGt+pV zn6U{#AQQM~oD`G2-0sE}#n(mE{8F;{m=>+rt9#Xi?)r;1X-|u@ZE!xgF*dGjV-)Vo zUQ1do#5}EK{v0W8^lUYWRs78mmvSCqAvVhS**QzXJDF*#GffzEo>@FC5lQV2bdNs4 ztRD!m)s83_1-8yK@>wdO78I=Jddvno@5>fP{GG*cjuZy-n?xJ& z++xxa@}e6O4>khdyolEO=E1mZjkOASiJE7j(Z%PMEGDzx{uCl@-K}YCBxQ68&&Hy& zes_F{iPj^>Fs8eV-yVH+j8vO0|w4RgsDyNWk7RyG+g zzNUT5UnHVxQBUa7>al=XSKGBNYc#4kh+RH5pl4Cf*DPkFf;Q7Xjln>jKifC;RI{0v;Oy=K zci%ccr$vA?{QhIjS(WOR>IAt?w|DY^I`$1u?HOT81tL)ieIA~?1s5WZ_azkerD0Sa zNO!w^J;oH&Q#US#I(3y7`ObaLO`eXz@S5u722z-R zqBA7Kb@<<{O7f&}=c=NtyT^-U;x;rXh(br&dG3&?Zz^-T5T3dp6r=X^PONfdTcL=8 z_OrXf@1)_ULrFdx1)#n%kKQCQNzxBnz-7CP?gYNWV^jM?t$OE&*@dwJxd##2)6 z*=Or2*FRec%GNR_w{Hc9_Y+YpvkP^y5L&qoom;+g{PWqlMDc5GW!;YB3Wf3qRZpivt3Y17b{Kps~GPe*uYm7)|OQ(U#UvNPRN|4v7ZN6D)S zW#}wpRvRW#Nq5(u5K%Aguv0wE-6=Qkn>O;MZmIA5%BtbXfzZX`<6FVp#qafV$8*iL zN?=Jh$F6gYO%LWzOGsn$KNreVtd<2-Pzo{d<_hV%lEkPJ&@5kG<*9ROG*o!nfh4QV zOQCI{lw5si7ZUau%Y4hV(TvLa)9tn>kC4FZ$@JB!YbgU>Wr}YIEG~A}6KK6#)$~}S z8X3}ios_6r$rwt$BJCtaIDJ_q9q#h!2))!B#m_y9y=k|2F0+2h5{DV$QssLFvZz(k zvy=q{P9mPBuSgFQc^c^_y_0tfskX4b(p}sgwW3rj!#Z*Pg+qWUUhyVQ3Ewg6d4C>< z`n#)(TtoFN7It5wgoaA#d`IMR)Si=DZpDC~;+?}$4veignUktvYKQ^=-Ab@9ze z^UKJmVj>ql?7(>ILWSrlbz5&6r)(j|^k(CpZFr!W@M@MnvT%92hXm)~s+?(jIvUln zb)oSxABS+e&Zn$e|LPu^cPy1i!_gl7Z-zvgW}(lO)Te}}pL%cynMaQ-5%5XZ21`DU z=yE^W!O7koNdF;@(W8{RpR3zd9(6NA+&@i+opxdk&Tn&yN;Qx>^2#EAvUs5V+y`QH zHgUWz#vmMrCN3J%TY}!Is^(DYwNlh*Iq`wqH1pO=8?@EsLI$d-f;=5@691Lvr0Vg- z$cdy!E(FTR*wQms%uB?mfIcDnonyxR5@(Jg*E`BQB3XPf|ULMzow$Tr* z|1ix!M#2=DG4jqQT1@Ep_ozD}-qln)-5N%;eP4_2+bxh01=k9%Z?EiXl*;KC_V{no zZEHs_pH~_&8XBgf>e&%+-<=+gZb2?yR($V>RDQ%;8{1>wXE~Ja`r-%n{tCr}`JU;)HycxzB zZlv%o3FO>K-ieR`3Z~Lrv?c#xuMmALW(b2?h@4lrV`-jeWwF=5F#W?SGlu4Aj z(;RCguR~*zF^_^tFc;ER>3kDJ=M{r%x%}jYR6S>HNYpl1GB;n0Vj?Z3WsoAjBec%7ou--Q2P2npzCmk(mJL=%ssbA(=>sx4mZ@~vDtNlkLt1o^LQ1= zT34AaVS$Eg1K+|CXkN+iYiFJWf4teu5^{!E#il@Kx<%LD_fz=s)uD7D))dR{=5J&8 z%C)*WdYX_%6!5ux^wtK~E1o+F&A9n)Xx-?E_T0kYTw>b~t^wDc%K0hW$&1K{GdcC; zX-c$eY1s42L?2cpifeGZgyBaUpAJ{dUs~c9I&!zXIM4WF_0{Uo5aM)&cR@kJq%2NC zp)%o1C3o~6J9`pM8gR3+O|Qo>yx;zG;XFahRH-73zq4!i@W{Fa;jnl{>w4Zsv(YRA z`Ptxw^s3X#OOap3>r(`-cZRCX!Pio7dvFHe@=|9Kb_8o5g>H_VVOOUdI1h6Vo_0C0 zt3}ErUW}(srF(N%LzW`DXy_8fhx0L4;4xHZ49~lH@Qplq1h<`wAb`6Vtc9bE7n3I! z&w@Q#wecC}(XSW+8KpWIPAS^M+w>F#RKpXahf>lAZ`%q4+sP%vNM0C+&jjqa(qxYv zU7N`WGAJ;X$=g+jT~ak#^9(4i_UEAJ0@$0RzhkiBH~RYdgc#7V@;Ml`YuZX%{q zW*}MvX8$sSE|uXrA;JBoB;9R$NeXB8*8Z$hY?b9w_B7~fYwOwW@4LYdF*j_<>7QRT zrJ+3f0XLJISs%Y>K=d2+2(N&~S)P`}>#icjBAHh$-0sVNLVhn;{={17bScxzAuXKi zmWWVRkb-=O3)kU|r@4{Dy2+6RlV2_skN0u8J@sfK%;bN{*5zhuJFHPl^x7Pq8Df8h zN-0L*-R<%c$*dPT!xPue^sP8DC#Jq8ZSjR2zA5+gor5=tiTBtXcj)H1y3;QKlSiW>Ma&_#X-*YA-#T{X%ca{sd2E-o6-O=s^u8V!|_)o%o^=a<8;8U#J>q?!ombgVD8sy6_ z`Cf)+>5P4Sg`DS!Na3eflVV!@XQenIF)@b>$eb(H;y8ja>Tw%M&a&H;<0Sk$Ft&SE zv%d83j(nAhVM#RTa-#bFH?v-U6!w=; z&gNPt$!XXybN1|g81>w+@UEl&H{mz*pUY19mc$F%h#h-8D{`4*HF0Nbw2<4I)M|x* zjP9wFatzl7vG*1u1#P3(;zI3{&3l9N>LE^yapaqWMJMd5!!goi{s;)E6TWGWY(0zN5v|WFOId$UfC^*A5YZG1YeHkFLruIMw;p z*guTm|1iRgjtmc@QA2~sf&RX}-k$ERu1*A^0}gL*Yin(3X>M+6Y;35nudA)Csi^^f zpix~_RRtZYtHE_mEugwRsz0CxK#h%!O-;?sEv;>B?eGpnXID>eU;n`15DGm!GKv`+ z8=sh%oSdA32n%TM1l*XI7#|y(9LEf!kbON}9qp|xO^pqJHyE&~xuvZg8mYUxr>DCc zK^rg2KonvMkeQ$pFCTA_T)Y{SA4?*hdYHw+5Y;N!BM-8I~ zd)n$NVU_hAsOiURZ{DmuUBr$eyIN|B)1!QD%W)8#o3$ACo6v0`7Pw~a>h;hsG`VVg zmr?Mto|%okqsu*?!0_n!#H6I;)QlW}3(`$V8LXnbq#!FLE;1}MEHWlBH6s&HR!)8q zXaOb!sSHT4t{R-z0`UT)hPQ*|(caNLFf`QHUX_y&5f+t{ThWB*9T@2E>1e9VPY%6% zU6|obV*swE9h&Gc;~~7)V=&i8Bp32G`D}B>@L2@qR5WiG7@3%wnOj&`n44SL-Szel z3*ou|&p#kAFgP?kDkdf>EYQcx%QrYG0f2-IF)uGCJ1aY{ z7*kpc=Mhk}B^Fq>hIJwWsT)uo!Mow8zXQxGLqtAVq&5fgwCE3I43H7@$ywoeN(%;_wIZ91%^e%#>Ga4`1|+-ghYgcBS4yz zkyqZ(-clCpsIK9fR5vivTOM+mq$TvWIKH1RN4QydNlmiE^-J9YH8rSZOhG^nj$%Mg zeINGO#x^eTA!>5GFZhQ~i(NQznBn+&2_c@7qMBxwhAJ|mXSwJJzkbFcASS}!`MkZe z`(YJ3id`q7XXiaDDs%CojJT+Tyt1~jgLh!Czo(tKrL%WHP=Mb97xSBUeADZi^F0LU z&N?P$Cwj_LG+b%c3#+g#S(nh%%7YKqI6v-+rb)~`))7~oTlhl2+}kfGxo&u75U_kW@K$|Z)anwr)3(LoM1s3Un3Bl>P0%td_$0A zIh(dHjK@DEF@9mTN_Ql1^0bb&ARbKj$ee=uD#wM(wlM`oX;EQO@kxo%f$lB==~WG| zlIH2v$=Xun+qXR#wRoq+xQU-n^@0CW%gNnJo^HCl<`u^!J@bIV(G478T8`8FJSWcx zpFef-jD)DDXr!>v4()HDS6TRc;7M4>K>u4WSQc(fU5Rp_~gr1E05M+uD#tQCdGR- zHM;ovaYtr+oVOTGw-cU%D7R$%GurXYgc~_Fk9OK4MlS@xkkd1xy@>vq)hEbIWBLYR z_mp4)miY*ui47e5_o%!8E!>!+u?c|#mf1N0N_b@VcG>BlwZqX9*yWdRx86OOSRy#a z$A3mpNJQcS^R!tB9!*ToBV2YRx7dQpI>h`J{I9D^PdKP*Fk=ICKQuS{B! zx5S)0Z0y|ZBr|QOZCX}7g*y)-G833HgK{I?OyxM`f>R@XL&E*STi)OkQ7|wa<=~=0 zsu$H^GFEnI#H~Zqs?jfSNDonw;eXp^U}R+BJjr)P;1oAI9qxVXMcc>1hh-#d~qN zuy*Vw0r?>+YC3vaY8rN4UN(k9lnksKT)bTL#JDdTQe)a=-BAk-*!@~>5 zj3EXwO_>=Pz5?rTUr&QemX?pGVGMK@%;b3Z)W?O+ z9p@017CtY=N6RQEE5^&r#KuCpOG;FSC}fGkHU*w`0a`FCs@yl@bPj}eJ0^POaJ`QlRotB`^w1plsw=h^$gE{ zBq67uW}v5{Bqzql`HqY89iIS~h@6C)<(tJ*(|A5{qDjF^!hGDUN7;_i;>`4RHI~cgzu{6fOQ!spMO zJ#~VUgOlqxJJ(5$V{FIRc$tTEoX{)51f^207FsG76)ubM96xsC2*VM6*-I+w+NO8! zd3ie9SlrUnyP>6RaGmenuDyq)skOC(hpV;C4L$~zW9-b&dbk{|4LEQy>LsRvr-DG3K!(mmEUH1G`7xr9Hb55$fe+XM0CgQTw*3t)t`JdmayfV-OhNAK>@U)xqA< z+|I_r$x8XEp@mm?OvpV)R}W7Yn|oeXKGC;d_ltR17~EzXTFubnzsk;HsEgOwW%mA~ zn6_E-oj>gg>Uyk?OoL`^%4HbQE!MN~WfP3DMrVTDJH6 zpn(GYe7){E+B-Pjb#wRj3kVJc3_=3^{Q~@beI9suxVbvpo88pYwogcTcrUrQtfDk4 zH6b!S2RN0Iofrs~bn-Hww&ocu#UeQH$9koR{S!MOLAk+dbbZOb% zzy*aRz^^VV2cZsdoFP~nnEY40p`3!9) zUvR!YUY=-2pr)~%ZS9RMaNwSU=(V*43J@DXEYk?W*E%qJa9UeiUk$*PmgMJTrzXZk z0FOU1Dk7t$J~5>k+1JJwg5Vks{Q{gI#H|BCG_1U|Fh46jJrx8dDY*rC_3+~G)WK=g;NZ|eUmv`! z1KtLO(s1zG+SF8AUYehin$y4d_{H;eTpawb+xR48#9y|)?%;k{d_0E0OwKG$j7`j7 z=U#s!#C`pAVP@&==k=9o6ml3diW(dp8yOiH9vOyWe&palKcK$8z2LP21nWQ_O#o9h z2zd(&ii%1qVb#s89sNTUnY|6_h80L|k3%FE|ZW+$-NnRyIy zViGff!Hk3Odvq9u9s;oTlM%hWJs{Ta>_ospCIGCB+WPwD))qu}U;ohP@cjJncy}Yb z4Lv!8Mj??vw1Xga?e7P@n;Yt?%F6RAUf_Sn#U~;nBKU$sLPEIv>gDb(-ezszo0+NU z$?=KBnYpD$Po`&qO)bsOEX|B#hleJor{|`|poGN46v#$^d;kVB0_8`*tRZ3bgXpfm zueT2*A-cMN6nc7*gXrP0iK&H|*`=jN(=!xHqUH=n<*FD|@&zuFa5jKz$BG|0sC?EKuq5_TTQWp-v}eqv${J3ci# zi=7%Cz|4ST3CNj1>5=jAvC+MZ%`iwh3<28HB47x92Eo z*CXQ~r2>*FvvX6E<5Oc@-Cc!w2xL!ZCr~097$N951d=Bx6l!v|zXQZqi<5&5#Z{f% zEwv5(qww6qj?tOf$%)zd*_r8?**PpQZZJR0K+nMR?93#*V*(2@BtU*s)8Jzgs0~O6 z1O3B{qJiEZL?G=15;VZHh6Yh1!=M4k65ySfnViN>&Nc+6wl@})G_Gyp-DR)~c!&cunhG zr@hXAMlfJ@(^E6psrjM$1~{UvwIn4cF>7=lumFY&Ap&iaQ`o7QNg$x^&he?i+A6Sp zV8+LWMnFz$8UTaL8ql7Uz=#0>~fe8#2=mNk1QkVjufVRN-G#W94 z9qS)NH6zByM*2IN+XjJ!gRbKcqCFV_tw83Dfn)?!haQGh0d0XuB-j#A0|3)d?{H2; zTT4fG(?C~87uczR&5wb^9ayD6W5WQ^)a1-0W~2vXwQ6e$l9D2FLHqdl^c27VexR8H z)5T(e=7;)FlfZ(9MzQ0Q<9#(HC6&m@(Q#nc05J=y(Gc%`dSYXa*NJ7Z| zp}wL1US!umXMek?bpxWQp}D0VgaWmd<*=4PNT#E}fI!bdWKUOLE4)7|I6WgVCMG!{ zqj>^5*pG%R6S7Ol^r56Nv}Ca}v$JzxKU#P+j~W^q>=_vy8i7{T9&`Y89DoEcfHc9X z1KScqP>y>P(jD*#z*ND>BoG{sESS#FK!0Z!*i34HcLdVGrS)}=m|@@Eo|e|yilVIC ztdf2-66{pS0gwakXm4+CsBb8*?5WAGf)!@Or@-2W=DRZLMxliPy(b62><0D-30_3l znT3^S&t`!cVWy_w74U)Hez2fXgOCuRwFF>8h6^MMGzA$ndT$>$oi}@IPe<4Ie1wEhXXkP_NM+m z@Xj9ShjwPjQGytCBU<52jdi7!#rZ`UnHlL>g?-^Bbg-WO=BkS1h}611Pyy)bMsxya zsIdw7W_g8$S#?cCWff&*MYTO$z*8yc>PLVseNZK%1Iowml@UPNy=w$JJ~G(Z3M+s$ z!0XbIOIuo-+uB;%L6HIwRG4XRgToPBouIl>;|3UhL@QcJ2~4Nc`4X|-K#9X%~gpeO*k zfSfV#V;Vqu09FPn17&3u_1*pL&5c!sNr?p&wUy~naYgkt)wQ6oQdLu1-*8Y@X=rTT ztEE6meee%*VryzDVdX`I#hK|@F|kpxFom6~&6PD3$?>`Mz~ilLtgCITt*@)91x1jO z-1L;xW(rWpNg)QriMB&Ky6JOC>oTN6&Ha_J}4f5iUka0^FfgXc=#1yHs!$c2L+Oxw8X?X|Cj_4 zSZGaNWnM@`aa&zQH3$VtE6U3&z>G^u3e!`Qlau3PV&YSy>_cjst7@xZFi;)IF9ab; zUQTW{5ML(flbD#0keHfZnhlO1ZioPdgzO}rfb1erg2~Ft%mM^`>{VlOpsEZwKy%0j zIq}?FaFvmrm719z9T(#l;X!yNEj=MOF)p*Pydb9_D?2w6Z~=UvSScD%Tw+qJ-#y>Z z%*vAd;(VaLn{6W8>oE_6c0Z#l|Os3{_lG3b-2)>F*J4aY#DIKO#OPDL*SGJs~MR zJ^^%z1CK&a2L%QPgCaz9L{v(4E)){Pg9tV(I4}s51_A>>xDNtQaP;%_@qXa#9}HsZ zU=S$#dU*%?nOH|A1HndxgQ5@wI5ZT5y@8-Vh`hnUKfvG5-_H*m!R-(zm<|mL47q>T z_cF1R$6f!>!03di*r*Wj5auFfuQ z?#}iOwpO;6FI~E%qGfQ~!qVi{9kbhpx>_3Q%2!lC@gwuhYFCw& zt|(koyrQC}uBxJ}rlYTCWb5kU?Cf;U&&&9lu8k{5E!bLEnwwf!nwgmxf@gKEYhBmT z)YQ__(KpaDFfukaG`M|J=hijSVJh4FMrI5aNS=lr;2*nb}x5czAivh)7CFT~v`}rR2J( zq;OeT>9T^n{6%>=83|DlFb{r^q~trv#mUKa;`s5C+*~J4^6+xA^NAeJa(s90{Bf=` zqOvlg=XjZEX=rE}k1)_uQ<9Sq-~&f+dJ=^k=z;dvwz}fnf`W|1#I&rU3RrP*Wo=Uz z8aVWrA!I)&e~x447N5M`-o+yzBqF1tKXQbLg^iQv6!(eK{Kq-@LB{UFc|igGQ@q?< zoNO%2M-PL1G8Gji85ub#5tuU>83i>hBgYZ=d+Kqf!{oH|RJ2DKDT#64ufKV_zP`RX zH#vdsLq&xKhJ*$A`vF_C*3&k!wlUFBQwJ5*I}Vn**Ka#M2nY&|P6WG8TvTLqOj1q> ztfsYZczkAY<>}hS);B^jN}40gOboQNjBFh2?Ci&w4l~fvQd84VQIHVg6A%;Pe*5_5 z<@)>gZ{NQE{AFk7;}@bYIdlpmB)IFFZL*zfwFHza#n6pc?F2e z5#WuBntA?a?b+&^{Yu#PZ(lxcz1vuSx%y;jW@=_}ZVY(yeIV7+23~T#V^hN;Pu4oa z!n;nl`H8`yS?%NKy3FLv z?1F}Y{>tRUto)MtZq)b`W@zTyA$rDRJc8o#N}7gdR<>kT}gf(sH9dmfHz-NRYgf&W_nsmQc8M8a#A*^zg9OEhWRIzRhE_HB?LdTy28uI zaP-(wdKxN{udg1V>Ixa)1#dV`kbERN!N+u1%Gp8!qV~= zmGvxL?mu)f*3z|fvc7%C+Sb|*>|X8x5z&#MJ{IbdJclVra31$Hl}E_ap3pQ^6_eAq zwNh;@{>pWlS5(JPY$vcdaN2HzFk!MS7EYq6fA)37$c5PYVw3GxYDt+c3=PTA;v3#rlWI_9@5mE8a^l@@gyiHz zI2#L-k3QlOkkYeqvK?bNN=x*9p*!35Xys1)x#rjQ47Vj5vp%w&6}#bX!D*u5l8~Dg z;-bq>u*va?v`HPQX2ih z{h{j>;(|NMU%oRH5sPT43lcQ?SqJ3S*JQ?~6(rxJrc@0GEF4(15Eu*y1##F$MdhGY>MWN=Elw;QNeBwJ~3H^g_((oh28UWtziZZ*?s+)I!cu% zg5d8cSvZeTyr>P-5<7L|>uA@|cz2e&o>i!+S6EUGa1rDD9n5UK!&9oTbeO^gR&(tk2EXesP zHzBt4A#b1VDVzFltfK0dZ&=**@x5<6*;M?85wEuVZKf#+KR&5M-D+7 zI@kay4pGw|0b3>~+YxFqQYsdn(YS-%4!&#dw%=`uYjO0Lm%k-5#A3x-S4_M*;^WG zE1qK|+nO6jjW52~*nG3PIEfzU0U63#5FAuCbRfs3XQoE`;SIHQt-WJQFV@#zK3STd zUwZUtVG`Zf-9Iw3v^3RIkrenKAgOlZ11SRwJEypah?u1Om1{SQ%I*Wi|^wWHg8U%)XaD8Szb)JbeCOz+$=wXn8#cDwh$ z8~V}+M1H>Bo_8IsO>f?~rX(kNhVwA#msKnXFsB}G;*d~M)6yIwCD_?|`FH_Js_jLy zkDsr90L;lLDanX%HlNLbEXBghZ2}4!dU|S-oz;=%;>?V~rtwX3u(w`T)4Fb8U1hs8kdp!e%a4Zs$T7~7{6bS1*vI1i5J=`e5DJiqyW8Ent}ein-UDW9V{K(&Zfas|WT2;`t)YGucwurfQW9b! zpk65`c=oKo*|TQ_&k3Cuz91qdE-57~D<^;PqJpBLB5;hs=K)>1eEEv9imKW*O>G@$ z$(op1SlI%P-PPtFMj(;?U;3{E{y!rDkoel8f69cQFY|)0k|KWK`X2=cm?NZRWMmB zkkkK-2*Ch9VLN#67n1?c9Do354(L}<`=jr%k(QC(n>O_ElZN0jQj#(<5FV)4k0+t$ zejR0BTECgdFNh#KV5|A1_dWyw>NoVuSbH50Ivc{YqyxL_BHmsk_@HaBvyMXWl zoq(0n@ypis3p|9>uh4&s;^(VB4!S2C@GIQ`WFZ4B%Y7*v$nYn5{P9^?pixMG`{aeC`!;xh=iuf~u>OGN zcZxcg(J!L`Fh4;4L8E^d>rZd|D%C%2{{78A8V)4ZAH9I#$bf5LJHRUcZvujb1E7A- z`0rf*cp41zV+R9jllk8o^Y8HgtG+VOn+8JlLvw%C`9IRO2L@~#{}EKP9FU3 z(LX_35Eywte~tP-*(whS=pTd!63>5f{(JiPRVjbu{hx-jXCHe6iQzxa{Wr3QjAIYU z4>*sF!eWbx;;Se`y=>4kJ&!4~Eg6b8Zz63Sy)h?j3AIF0ye!1-EX#ZJ$ z5Loan8;Jfe_q`jSLF$)^-ycEj@jNJS?YHhD*e{;#o$pn>_6k=&H~r=YcoLf9pU?A; zOn*P%Pd$FH`1SZp$?V@e`Qr%t<>EaiKb=BX2lU&Kp_{*m;!l}^zq|po-?V@J=bwN2 z@L%8jP0{k#uKPft>p$o8x9iXxS|Lwbf!u*f7ej4?UjnJLH&GuhB@aJ6qpXc*0 zVEq4~`TqiP(m!%|Ud)?gTO|zFK(jH~w(o4)lWlvlT_@LM+jZ(pw(ZHbJ^AGK`5Eu} z1^eT=_Fj8&@&6b1%Y1d44s?%ZH2ZFDXEl_4K-eDH74mmS$gTGs*g*Um)HQSY9Lf{I z2iCOrf``^`j`Q~T?+8{V;$YJ3frL#k{ncOc|SrtIN-K1BwYX`!{Rfz z{{c#r3-W`TY}Vkh>AfZ+C`G8=H_}-=ohM>B6(ZZFX>?)Rw(Bm8g~9?)S}BoW#Isz6 zQDLF*4aqNbZK@Vf1s>(T1ucJBC32w^Vr4Fq&8Hekr5?vDO$~2CPADhva@!|_7{wkV z&EpkD^e#%V$W#l7jTf2^%(P9ZGjgIn@XB)b)j+OB2zeDURYN!&I|NX?fkSS~i{BJF zxq@byvY{|`bCF=OAA^v19x+(B)auOSKrA~)I-tD_{*0-b zR;9{b4n9D@Wo+@4s>8G|jOTnc7R`dF(JvsdgH-m) zr`;pK@AT6X8(KRF-|w~(Yp_pTIkH2VSJ>om%a4f6n~BBbLfH-+7(Romhs#}4pO}vm z93J(-x{KOmL#ufx<>!=2W%PDVG~d3SiuPaTJABP zNy=Mh;>C-2+0;QL#t<`wG%g$S&TS=9I}WT=%$|q!uQL^w3<0@H_9iJszxNV~=X#pW!lX)A!v-dE$}o*w*)rqPo84CP15L*RTf;G% zepsKiU(Dm-Tok37H4IRt@lwdkC58ro_B6^C85t!*&Z_`b(L;;-s!o6o2{>}m#n^WS zvnH5@W|QU4x@8c0?-D9LagB&vGqLo93aKzLad``o&SVgokgl)UIeJ5->5Ocg+Cht% zndvwpHFx9}OQBlIcv4!6otsQVXm50ObZkM#%kNr4^?36ER)h!doLjYDY;l6~j|BtQ zT=2u)ZskFkvust(BOG^|%e!2yz2{xHkzNnWB!CWY=DG~GPqrxiucR(^pRl?iNgc%% z2f>6kNX(~eHY!_KB`)77!}*vwZb_g79bT?mv*z^({V*3)*vXo>&ApabuF|87j?TlS2!P2%w9Dhm_J}l@PdedAv2Qq3&>Y?M5<0PWG+KVpt1*yzq*16;Ulm#am~1x(`xn2^Lv)O^v?_pea%Exl~3N}|Wg zV|PL*D4fRQNOpPg$GQ%zG&q;-q1YAQ+Im!AW2cu)LF7pDdLXJ3p4jWTpmndSniZQ1m#NPVAWn+jxTv1DVJmz1HZV$85jv*SuH8q z`nXs2Gc0?ZD%=qJC+)(?U1(2M*)~HK4{JoOOK~9P-dLfcxS)&aXDYT^43S!lNX~LW zc9b=>dBbQ{*dNsf$F{R@#O``o?U7D79z;@$RNKt2WE1n#W>S*Nc%Bgc+*|5Fn!=B6 zaH(Q5f$H{f^RPB+Xk>h;TSm3;z;9xxbnHY|((Puy(~}$K;GKef z{8}N4KFqg|JYNAz6~;Wx%zv-AbhYJ(97Fo1c|PS;C>5nZOBGs@FLN!}`#RYu&vPoY zF}FI4zC+E-SQOMrLJ1l$6{aa;y>^fdAcXIDlQN@kn93|tEFK|@;|`c_o}LVc?g7P^ z=8CGhAJwvRFg7J?N{S#4~1KN%en*GyrgMLvdkXe;juLR(Og>NW1- zYYH~)BJd{o3WB!?$d zk!2=nHPMKfPw34qe5i6Y_JYRRT1EGem8Fq6@60hY-LD-`-PjKnQm_f2+IJ}UM>G*z z;D^sg_RTrw7w%&@S!|(z$t{f439b0~0gW8I>*9r|C{xbe#8zBXlFGb#SXQ9OE7i>> zC5y5ypxZyYZ{PbGiSKl-9ct25DB1MTI&$;mp#t?unVk=xMLm3LXGQ>?*;1>|lN6;~ z05aKALbi9Hy?W4ozyxQT?6}9fGi$dfOh}^fSqFcMLxW)WnqY(Pgud%(HRWQ3a+yru zS7e#tk2(eYMw{xtbExVVvZ=wMD`mJ?eBXXLjO$g)ekGvIH0p$@a83$eKKr~1M<`+y2q!X zBi0`GHxDZa6Y`Amu@XM#;T98iNSdAev$6Tl!z1!{F(+0X;Kl9h8GCoOBD{vA-KJ1e zE8*dD+#`XvS`qrS@xadht-T@gBDTD5>|%0#dBt7M!Z~xqBnK8u7|wtor@1)f=P;{N zrc=E41iAa0H+|uhwys0_KnN#5R(b$k2x&r#wSc)?l#8~KhM!hTnD}LSr-)zk#{0)mO{sVrXOy9HWdSB(R zVQkpB*=f8uVSdfH*uc1O4RGdp4%X|?go8GkljLmXH~|7iqbbho38i16iNz1p6X7qj zUo|C2FSv;xqaH@^u2!Y*b=7CPj*%CDv?fuSL=qe!2Nf4$cpjnc#Q;S>y1#B*a&(ey z*}m!vTq2fDlXg115n)Y~H#?BJb;Rww&MntNx2u33rW`&3noI8zch$VmT}4U62t&_s%30Hzk3_zWtcB&YV<- z5jUF>2K9i)iwW!%=7a@>Q3^MtAQE5D%HNd!4w%lmWr7m87DB)^J2`jS98Cq2_)@5X79a4v2#Fn zPaHv{NoktAs9p>wtU7?FZWY>Q2W~7uxeW){YV=sl;y<$O-8a1gpd3VLTXAQeu1Hvv8=v&;uuz4d>!EWvz}? zxiwO$EzkzvpmfJQpzcP1FjEQjp6Iu0u5W{>o$($LD1#7@NKQtIg*fq=Pz0F6R9p;Q zZ@1#u##Bf5EC^!|ruarDwM@TinPBM3I+?@q4H~;57Av6^Vw!%DNq$pkP;7~}&qr6o zd6j?OV6Q^6jxHZgYzR1l9`u5@W7l0hJqIT8JXoff0#d3i6zkO~dDdq$K9czxpFY6N zN6UaSK3~?OR!T~Sa=LNP4|_>+r`+W$6PoO?^M-ke`G{_TN*J60XZ=~?J+UFn`1)2z zQ*19N(J|ScXLMa2(EFQdSGb1kMY>Fxpbw$@>nWdg~ zMOaQY-isP@3uE*3K;c{|ro`#pPQ~vA(CbUXH_^S*D8lbVU)!;+plhVpCh9D=J7)~& z@5aI1U!BD}c)z`Gp(K!L-by|%72wEleU4EO4&Aj_Y8j;5XuUizm!=aDvWme-<>@v? zSK9k89^uk{FV*{uG^!K_Yr$$Hz4OHFMhMw!m-2E+iL_8_6JUN>7FXcyWaGbYIh8^P zw6};8bjui(^f^OEdkyeVl-SK%hST&=eGm;qp~JtCsKLXU9w`M!bv{D-0w=?x$m*~V zykT6Rb?1fUcgp7*Ed+FC(5hu)xa?kBVK2P$dB?wR9th`Ba8Va}aBCDt0-s>cGqJU< zo5jF>aA7Iv9aBmJ`9^So`Bds`9f?qfHGowIp0&+*Yi^267V)*a@tIE3Dik)Or4j_O zzF|@aSsb0BYH3}p($QiZ+MWfTgwOD%)@auU^z$WXrx-}pMGYnEkj^6bGzWIAl`CDM z^w5!T*~X;XRTvr%bfSW~g4iy;(t9h#s>TOss11&iY6~X}AH|kcznj3>j`IXn$Wp~B+QZWDGlDHj2I7Tpd!ib#U`rd3S9umr0Phz%?PE;2` zaP4F}E?KLv+M}_8hJi|$omRN@s>h zn$iBAqh|hGZq(mTZL%)V<=kyRXbdS59`s8#qIN*jcJI#QQOvI&FVAn9pdC<)1+)dO z4)sdY4d55D6D$%lbw{sI!$Pu&Tj&`&)>=byliLx6^>K4vRldw4co!jNG|rJ7430!g zj7Nz(uUc~LyuqS{PQ55=B+wx^2A>dhC0Z!2Vdl%)l%h^~=VYgzky;}r$> zH!JeDsXEOuKN*hFqPhw2hO6(GwfIK?*ZlBqJH)c>OX)3wzOV(U#jPt#5Fb_B^qHlU z9bMci{15H)B6fD!)QL2|A;+qR_WP4;D$%v|KJQ8(hL#X=_g$TX2*FFpCEA45g0*J3 zd>7?wl?J$(NE#HOapW}@q}l0Z9+bW&9=bvlHwF^h@zh=xMnt@=I{}c`R2mOV(Dx|I zGh#TMu?%XOaFW2b<7@t&$MAXp!(8~I2QHl^u}1OYtDop*Rmfy#gM81>;CFzPb#}5$ z;wiLO4v7KyxcbCJfxi4~7mEmS`0lBAsR1cnDdL3+YFI!E!UBibs#DiY4(=5|ydvkl zG5gNT=|YCjdMw7a-RG^=^gz$%>(VdGRfM*Zb$OlxD<1IBD0p_|+D?Xj56lauadyr` z^P|#l+Z1ig1Ajn;Hn*sT3}ml<<(;bTRM~n~7vrmQxffQsO6o-pR0K%PSFLS-)Ojbx z&T^j#G$|@9D!1BhKG(Izktp#)1}5N2XH8v|g{NJHvOF!l82O^dLwU`eV{WzSD>KEQ z3(O;}^{$rCF%Y)0YOM__l#6Ump}4}RA+^_$K>HBV=dG004x>v^g-r3a?cB$-1h8un zCbqHJDYe6GJ_VZ@*JlO}D4~c=2Z>Lp@!s4WoJXlXHNy z86>^USz-YTX~SQLcsELcj$LS;E>pD#V(>VPKFPi(gd{1}usq57J>8_X-|LC-H#65C zw;pt8jC9qB6WMj=B8T39m{9UP7;zP<%R8A&CaIy4>p~hPmVR=qb03++3n!(C`$Y zPkB14){e@}!w#gWkI$f~&nt6ucJtnLs=QwGneXu!z`G#Tr!NkE<3cNY^(DI29v|{; zow$G%i)IzrW~?~k9nH#4x=e4$1NGUF^xysM=B@2lmB`)hdJ@YFoJBIIoz}z8sOza;MeRra9RM%vIh(aw3L( zAk^%6HdC;1Lr0a_-NT?N-JCRY2`jrfdE>_qq;QO5yBTO0s%g%`=DaG?E^e8G_`3Fs zIC&=t_%tlNMmb&TD%7vplwvsQF7D5XqqL=LUCVpncN$D6aN(}i25q7RDv?*ZArtVW zwL8KZYZiwD-dSfOAnFCAL^(M!R_B82`K}jNY`6DD<(qq4?k*A!AnUe;BuLqj93h2; zsiPwZcN-Q!%LBW^Y?wNFA|l+BO290)Y*vhtm&Q%GEn>elKW#q$&OFju>afnXFFJ?s zh@T{&1!;7L9UbuTzT)gXhe zVfon{*K!-Y2^g|gD~gO3xxu`iMhsXvgmXR6TK>@JGuhDp+olT*VG zPIqeIDrytn<*e~Ov;fe#CkFPg_`Z%8e?h7wqxz~0AgtJ^z>4}4NGh6A_YAH0nNt`w zLQgNt5j4}tCnu|62HNWi$2%4Cv+|L18a?1$J${Ms&;a_*!`cXl?|M)KGAC*?m@(!Z zs5LWsc~|GfobfORit1IY{8}g_2a~VS?d;YL^^CNg?J2 z{d>q<$Flw1dt87+NUX%(+i9y3mb%Ve2iz7t?^8Ozw8kXQR=z}!aPXStq`^@NK4BS| zQ$1Y6rtroN6(Z&PYjYNZ?HVzsk&k!ft$yInT*hdjMSQJrY0eK;Owi`lT(IaVZ!9T67k)p~=K<~H{_4WE1Y<4y znSka*Rqz$~gVq-i87Ut1k@3N>i=v4S;JN^h3iiY_PcEDnFsbc@@jg|@qoVosv?Pf2@#rh-XsulRhT2?dSC8D@s?rADb?9=oNaiPE-*!izV@ zy;UZj;fcnJtmO9;NeNKVH}(_vIduYR1ID6E0v@TC%*mSzlbj(b@pt!}Mjy(#x&jWn z9*NbnWhYzU4g_15i;*yr%D?VkTm*GyvVa;Ac)$e0bmBTv>F9-B5ryXWx1mGgUe}Ip z#KNJ&q|lsl8Y77ySnc*^buXBFAdE!^_ei0^TPV*-@mAheG=4(fP|gilK6|8aL0P&4 z5D!=AKYmTt7ClM3Ne*>{0$%U!Urw}HAB4tAbF37r*a$o)=)ZiP=+4!C)1}UCMD@uY z{Zv^EQdF$w8)amUmyDINd?dp-=UKkPbYfUl1*%ypzm zIthoNl3|x~AawCM!#14bV+sX_m}g5m0EI`86n)HZk!}}K0TikAk~!T*b#M%b3yG$2 zxT3m=T>_`CLt6xke1UzMvWxr&;yVWcul?zt!Mz(orpGHc@pa4ec=9hHwN;}#QSdM5 zXA*2sN)+uy1*QCSdJP4_Y+AgT-+}Jm(GjF9RRJAXT~QR-1lw>dQnm3fy%L8yBuZpF zT}`^oD=t)GwqB2mfc*!Gj0M)QV8i$ng;6{Vxh#c~qTmztAg+%~hUuXY!#mAGF)`Jq zZ>Prh+dC(8NIXR?$%Wj5TA&FW=4lKmfiXFc^yUMUh#Bt^_fg*Ri?~I1-m73!WN!53 z=}5)MnnOn<#v}O?Y|_OGDpEErx4%Q?x`RcC9-l+C(`dF^Wp1nj|8r3fR0{S`v2~4? z{$?y?)2HLA{Dbm3Kmn?=s-XV+b$7qTSCO#B5ua1aWazAtPF!qU?jw4*-AX-2JZ&vIQcX-KxasRJQW9=$YsT@&igErI&NRglA9$qBOq*70-Fisi| z2THH*YG}w60rl{Z2X`j#Vh0{RE{S{K#(Fg%K43CC9c6Iy10e+GQh`B+ji)ubys7GJ z&t7WMD3dUO4+c}4CmkIT`)UoMQI96T0?o&*Kbm@^T$IcwDLaFJ>2dOEEsnZ_BbRD* z9IbUy^2#YamyYalJCt4(a)T9&XFAwYks@KH)HP zE?Me5!PqVs;7A>YOsV#9MvNYJ^AY)$wDLp^mHi#`zP(q?z&Sz(E+{Rzrjvl%{2arh z3ihxab#;3DTaQ8+7>DKbYjpWZVxe&=D57;bXr%hPinaS-SZk&GCQC?8-o4khDc-Za z7)Tq5kj_Vj{CIBrOLS!8i>NYqdwXJG@fP?pbniI+Z)@{~s)zRhvbgcJpz$|SN7^JL z$~H$%1&avBbz~7tBBhK~2!z}J4d9?rXJ|MYDKwj}P);x5RvwGRD?8|^bDP-tK#dS_Iv~k}a)Ia9wNC9-a))1k>r1m=-E${jI=8xF(4fFk`JZ%nRJ1!P)}306_^YqfYvsELN}m+~PL!?vfoN=|%U!CnurW2LuqC9p zFsBYBlb4g#NyNm~Ld2pI+B)AtZ_lE*g@EPF#bif{LKT)kA(CUF@@Szqs>8IA187s| z48?nU>`~ICxD*>Nvu7*3^<-&bs(vo6|6ON&$M7I{(H*7jGA^cytVbB|y$V7y7UzvC>fxoq8Q&0tx00kVCN9kLT_#( zdB#}t?p9VW09iAv6l|T&$G?bW`Q0vUbFhd2*)`G;Qe{Jo&I3uaZ9GkDGGrhQfKwId z_a9AAVX<~Xv^BWu!Wu6hOdM86z*aBASBeD*yEiyT2Beqs$ykd%P5vuk=nn9dv-J} z1fOISB{!qHK6|F&(4Q>j(E19OCDmF>cHyb%1`=JWd)dc54^YOlV93#(_y$hD&sH5b zXWzwG!c5R8SNR@KW#SyZo!Uo=A}O_CuMsD)W>+ExKku~D3%7aXZp#quVrXmwg?!e@ zrg?@s5;o7=)V}&#X+1)Kf|f>+_}>#1@#DBd>~V&(+?u4@eM<}rY7wn`eS7Qg$@?F< z`Y&wvu*7XTug}liD9%fA7)Ua=`cfhZ_50_d z$}u3nCo(1W7kE=H60El23|5F$J$N$as8)=tj}plgs5lJ_|Y9P$C=&GC2Y= z3GJ#qWjUmsNn}S}+^K*I>x_K{1sw8Yup0C++QRx%HM@!N z2IYs$WNT=0}=+&S=pzTS{(``wBo*cl;y3z)KyL*dYT@Pk zcTdP#|GxAk`auIR^ROz9-1%9nmT2zuVy3P*$l`$G9}GN}og2Yh6>C2e8)74~GRHqLwLb0)Qw{kV@c9q%gPJ>M8!y8~Ly}ve&o^Ih>t0+n?I=o2 zJW_A;mQYsskht1*JIlj4YN2tSlKF)5d_=4O>WiA0UB0|=D&iSxO2rr}GgH07Hu$hw z6vp-ZUU3ABb+j1HR0z9m9knSKE-K>k4XieczD`=)<@S7VYGcf$baug!^@A(ONV-T6 zS~8Q>9m9|zm}tgjk}PPG-jnK-xp9;Ynw_r-ruF#ZbQ(1a6!C$>p@V?lM!ekk2>KN0 zvqELovFs?rq?XBCLP>v%<7F0p6o~mU4-BOnFz!`zWrEQ@a6Bvn-0oAb(@sFDpd8%` zTI91aBi(bwBaQB)Dw8J)b=|m3m7XB%S4)+^BoLaRpdQ7|IZm2~g=ZY{lt=K*QJ18+ zC-CA;fb|{7_AM^Idm_t4{78zz-QM_<4fT{K3YE!gjmGd!pE&t^S}KDg2rt>}ngpk9 zOkF=z{R1L9Z8Xzj$0>O<$7NPZ&IGRL9A2G>v)@eo+m3C)3eHGolWZsx#qj}%hK4EW2I=N17e(&9B~9KtPP zT{Q{5)iQI7qJsIr5Nb@l%Tqh2)i-}eNbh1hhm>Vy-lE#mY zGZrkzJ{sC?IqGFv>(FD_)XW<=&eEi20`YEh3i8Tnrrqf6SrAVMyva0cB6Hn30$YamHCtDpP-gs+=l>aJ|IhgBr%T9-&|Hrig3~XBv#GeV0h>}G zT~lEJnLqj#&Q0Gd1I(N0b)hG>`rFAA8klOy$`nqG7lo6rGRP0a)5`i(q=3ra? z9?bD!+SyrE=*J*tKFkH}#Fo`h2)@fPfOxBih=w&JhLb)pl8VZ^>WsG7jjkDS!|Z=Dl8hXv(WdeSlPo1kU#>G|hz3{RuTPagFY5 zz=Y!Igvd^qNH70y(z3oraY{6ex>{d)?<`XM-M>y`!`)(FVIlQ{${A>W49HXT;Vy2U zJM8Ha5l&zC8*z@ywy@_$SCHNUSD+2)@4O(T)ytwRS>zdVfzq85lxtO%9p4<6u*?QY z)wG%?^L}^b0j7nQ(E1Xci^%d6C7y*_WPhlY(yC?Iz8gJ-SHbd-&UNocx_^`sT`sy$m}{)tcun<_~PotYz)~h)dQld>zw%fY9o!Z@+7#OLx_L z9co89!6Qx`DXqg{*U$g1hlnB=ed#h39_b!BRj%=tRi ztJ0@;0p*uTP8aD{7eCUaD?uU3DU`7~-joe_I7&}v1fEIS%YDLknhwqBj~|9oZLF?2 zS6{Gns!J&m@_5;!lff+wylNc_oMDu=bW#7(x z$r*!4@hTA?GH&>YR{{*O<+YGEfkyrJ)?4EhD$@f`EW$a4*4p&_?UAEwruFRU`3+tp zsM+xBYI6V>%{V5_;pTaI57^V(Y-X3MhZUovLfZB<;;{+E}{pm})2R;d& z_SlNF-N1{sv8+6Y`cw}@T}@iWm$=ZwVrSUVV(lOogXrfVn}bE-LguTR?rZc*LkjX! zX@z9xCbXU^58m?FY(RzkJpt664={dY)73a1JjJfv6qDG*KFGlnT>m@xJ2aL)BF-&V zya|V=v(>4F{4LU?3cWk#HO&lc7f`?~P?G;PqC`e61CZv))=wsKsj9x_wjdj}7nlh~d}>?UvJdMeZIdpjUr za3*sQedHfEuUTN5=mym}s+6)1^ZuBRpl|v5yM_5t)aUqLLRLg&&=l#_U|jJV{6zNBJX z4Zxxn>3>7eelg)pC0vW>M5}YVR^cuba39Y59;=)pN{?-7q814N z>yT0@8A{NHKsl45Z$91g%V8Esbt98lSi$rF+~|0&PDROy?bh|kf}Ldhs!kZPAA6xp zHF_VCu66i5%`5sVDw$X>O4w%QH5!2DlRtIx(nO<>A76PJ{3A}N32V5_Z?6TW^cjC3 zGraGa?3lRCl+rSpM!1b{v?e=$*JrvYm#Y-@W)EIaAmbPZX9pL1lU>rl45p!`7>ja1*N-#+^;O854rUe zr?ejzr!AP_*Uo?)3~Z?!JEx_h%^7L{9HMX8TM#j?#&>0nNm$0 z?phlIKY#wh^C@Ogd6$7Lunlp}4$<&J|0d#QPU^>O_|zUwBaw)61C`F43ig0F^E3#8 zf_`wVrv2$C>*wCn;^p-}Y#KWsR(K;B2N~*&+#+W$--Z}2>=;f(KSKtfpucV2L|}z-=qYU1 zj`@auAq41u_SAeVA2LBpEjf(;{7Y1K_<6$Jc{oik`J|g{y-sH}yIsPFTQ$Fl@7 zp-VQkVSEb401+x95CV(fUc_;TB zsLvE2Otm`7P=k;is)B!-6i>fvhJ4{Dj$1A`%!3(P7Qp_9G%CD!-stvTS>LJ@mg`Ak z48MJVW-@TO(4$U#44ximJVqmMUI#pV4XE18D<%1Ei+H-ACB`ywt5douIccW6);>Ei z^`C@{+pdJ#aE|>|gz#W8!e28w+g}Gq+BMhLfQR~{tra{X~x8;9@Rd(AOotX(`S!_^^;7YVqI|B&lZboXLXjx68_d+Q*KED zhRIXw3KH$p;^1vdu8JiQgC-6=8z8DDOO(+21k=CY6~;AoJ@m;>?qx;td~1XQQf%`2>JlEx(Vty{JO#bPg8uq^Uie)?#H#>Io_^uC zq!4sM>AWSo=snuBeWcdkU_f^q58<+x^_c#81A{7`biP_G{C)+05?bUerRniCAS*Rs8IaTnr%nA~}(vsXEB<&yF*1!=FF zBbVPSEzdcXTp2>UYe~guEULp@b4RVDJb5Chq)>I2;OfWAS4y;@wkl`+IAZ&i0m$5+ zM^5GDE_B(=ei*9|8HGac?M|PADqlF&5Cnp#i}B|zPvQNyvuhpx$wG#%%dhp5wf3jI zJ7yY2-##cQs*6QJR8HOqzs%SvItWJ{Hfah+ zgz3t;zfE9Z+{L=tE4T8f`pQTaRIR5yi8EctiPQhCbBrI_BBAyJ_M8X?o+I-&zxds& z)=dWOf~q)20LSHrCzKz_aec##P2%2(2FB~w`Xhri1thQ=;Qe7DgMiPHa1MSPS0$~=x-`-0|qck?`wDt2Hkx8Tt4H?c*zSB zL?Iu9E}B^5=9SMz1MSp97qyuUo~auPT%gh{ea@aDusGCM+tp?T|GyznY^Vun4RLwOnKZnMXW}bJ zDspYXk&H%&z1lgvrCtB$u*nhG4_&vzz*1i-kdDy+hJ2Rgu;fN8`}l?&=8V>w*GGku z?K{IS-bydCvVppn0RDa`y+$&a#tI+cd!s>dXjK;qRT5|Fr|WP2pxsP41Gkjzv~O5S zh;7!yq{P8sEI-nJZ(E!l(CjBeZk`I-CaIUquBG#yPS_ko14Pz zqBEqD-CI|q9Wm4wdRo7#8R6$}3S);K$VWmW8@5Yt@S>^_sXX6pQah#B9Q-mxx6 z#Y2k))sEmuQ{_f$SEfi4KLN5JPZKGd32GupXo=hWtG8M-hu(-Zh)fw6Oirv3qrFBHyLC(>NuyjB4+8RI{slY**NffzS)3ui$ z8>Pto8-Bx?HhJ$CJ}L3^4v^v6T-cuSNXYM9PSC5GrNs!S{M-Ytci}uP6?k{sPfVs! zs%3}`p*?1Y4xwJydW!|Azw1S6*Zwfh?tn2 z(|wZ8=HicQ$V}pI4Z{J8qXM1d7M_|0f9w!b`drTn=(2}dJE>(p9~%i`N>lr^7yy65 ztnjY1y1(qZTNz$~T4o&c%3uqz7^2(m4RFc=hxfwg&pAwuf1rWbq+`0FP-qN}^wz!m z%>k`Ed=Z4EuDO_3kNeF!>u>9&V=PKfAhgfe)jUm`QgGEOBXXiP+hRfNrg#>^G5e<~ zzg8hXpX|@(1guoP^rXV#1LD#N33gb9xn0qt&$Jy(r)Gux zRBi3ylH&zxS`=L-Hai^WXlsZ+t_pRiJ2+D$F!X3>V*KgES*xN%}NKcZnCFI=E zbQhFr*K_YPPfb!hltrcnp8wp$yvV1|8A3T6^@>p)NP0m}u9f<)W?ng4V$sa(MgGyn& zAC!u9#^$@bL-_2iX)u*p3UBlKdNr?oy|3hw*xCaY6Cgosyi((=Jiaz4zgWJnOgM@; z#gXp*+e`%zS%I*2*Ww}X*h?uNwf6iy?$_3g`Mhj&NS>|RG@z7#t;)uy{;Hr@8=vh# z!sf7YzQJu)z?El33=N$dZtoe7>-(B74#B?V6Lflb+aJZhxyq4?#*(+AV|(>Q-+gZB z&^7ggU{u%*JANFGpPT;mNjpaJPq$4kkpO;hzTxR$2`TKN{UGI>URY^rSMh0}n@sX( zqm};g(RTXpl{aVAX+;Rhpk2f}(LW2nT7s&n_71Bfkly(kCc?Y=_x?MM-YQ(_9BBEs z?xH4)Y__BDD-oSD_wSa+w2O3GNrb{?UJ&JBryx zMr7g=h{IBUDv@XqDA#j1G+mw;%~G}#qdFr^y|Tf?2)b$&e3=MI2GG{%6cX)UEr=A@T^1#l7-1i@@Dw+QH`d; z#0_KR=1D?MPy|WENcbd9YF$!=wt@bpB+TYjn$HtEilXR~G*5b|PIr|GI-8Dna*#vD zF{V?+x84<5kt9sRmPrzSRU$^v+~md(qwzQH%PKny@7Mp%pZa#bttf53YIa~pl38M) z+Wbjov2(*8&l#w7H0QWQh7?1cvGYYO4`^FdqCWk>;>6j0j$dr!ci=Q1j z(`(nZlQs(Y`horI@v3n!?^^ygDZlvNKQ&OQYm-}ttplbfeRNG^d)S~A)#W*AU^_ud zEA@k1t>4S(tDfB#D}mpng4`StUzk_|5P=B8wbG>#4!n_keK7xs0ptv z-Z{F#b%XOGTOzDBWIz(BuWK*}ex%pNocoE(wi!HxZ(6i=~&PRSQDw8jL zpa?{;3V@?e=e1isaxJ0zw?S~~EdM9A1_W}n&HBAP_P12Uq~tdBZ1gGODR2N$7cC|N zN_rPdw{i|RaL({{#eC@HA&X#`naJktX=a00-}A+IT`3yHvTRf-o1lBV#t7XG6;3Yw zYXbQ5N`Z-$j+4e(NX}JMu^11A2LG^yYd*E27h6%ksKY4|g){u}g#BaBtt`E<{(_#W zvB=!jU#{%zx#ytDvm>a#A7dN_GyMZ+=|pb2g5{MH*n5Bh-o=E@%|g1`Om6m`WYhe+(I%D;BpDP2wBXdzmCAU51|{?PplV>c}n zzcl7s1Ef$RLZ^tK!+emMsoTbDp*sgpq}lg!H(H>Uh=SN_-sl=563gs3+U4k@431P* ztmxdXr02Yqu#?%92Zh^vCDKXYwPXMOX43s%zGi)KF%f>#K09zTK!5DKG5Rx0yaIc} zw?Axse}@Q&Uv;^l$ZR-+M>!u&%mQ%yzxKWYEb49Ro9Y?_ z=@db_hwkp~h9QQ|0fz3BPytCrRMc+|>M@R<_uli}`@Q%1p1T!h{yWzC?X}n5d&K}- zb!1FVfzYel_m)0U4s4IjSlZ4(|B?5wMBGRLwru4nuc#m(*(NtD(00kZj-e}GL9Mj zGh?jeGfWh`>4W1K5&YL)jtJJw4iP?C9rk;Pm{0T8`h-eVfb#Se6GWZxxh|*55cm<* z%u7Ah0@u6Tg;5jOS;z=(2BgHS6Z*U+QZdfG$D@a0fzC!+=fpd;Y>jhoeFn$B0PRgB z(Ul1ye-l-#A;>!6IcXON!!v#C=~EZW!?XvVDQIP{%b7aBR@c*TNVB&lQ?6xRlw5P7 zzBX07|8(^x$t?YP;<9(wnKz7yi8@3sV%!gppWWPVd!1e^NB@W;H3y?=>E1QI`{;GX z#Eb1d9-7%^+&iP#J`CPi#!}U{^+BBU;;~}_zF|@&;3Zu+#74pj-Rt>#1uqj`Ch=oovU7O7JUvpu>)ns1 z4N_G8C|WqBFKlCyVbR?^G3*>s6Rvr#b1RQFaZFXn@tMkZOJy3ZYx56C=&F{`M<1)|pV5X@5Nl|nQ{M{NrYh9DUEG~B=dCzh zeU+1rqIPI<6T&Q;xTCLHZ|qr2)1CcpS0*@Ah~H+YLNLbRhUF;yK4a1?hzxdmoHGX^V6N&4tfrT_S!{ayXspOjZFK6GUMCGK@B&WFUJM?xangJs~@XRi*cq^OX zgZpI3W*?fh*rWm;V{eenva38|b0TJb?`K6()NknbrjU&y|D-P?ZAJRNmwI#eijf@c z=q+_RNsGK0-&qm+M{ee;k58OE_o|Uzb*SCZ z{5by>-o+mC`sPUzxdN{n%h^`1EJ(zYQb`Zw>1>s~isI}w(XOQWruLr}r7`S3^w^6R zVaU^d!Gwpj3gV|E#j)vZ(pd|OE9owE zs1s|=M zE7-$^oaTM-A{L&HpmF(el}wAUrSH7F8DFCuUA%rkS0r6(s-(MDqzb(gn6W)ep9xi=OvNtdya#(?4gEz0(_G#=ftVh>)n;89&Y2c=$t!ZGo?*KiCM2gEEY^(D9HaHS^aP2? z-zr}4yvakL=_pb^!a46zn#J>>BXdRFY+LA*3d;_Yh2Q$c8f)Vu&hCilSK};8$J2CY zrWH{%J*j5-dVJl^_nirl()3=D*g4;O9nCqK?imS2Db|7Om}$gT_GRB2A>y&L z?wVMyxO6oKj!zP$Hu#MOVz1e9v)*Zo%;Aek)F~X+sf>>#ZfT48WJxEBv20fogf7l(RlRX{xhZ=)ko>Plw^*IS9jh&_#o~RX=)^h`f}^M zI$tt6MEF+nec#@Loi-g*%ZA%mE;K=Ss?29_h451@v7>ZdG`DWBWpQ>q@t!%{8s>Mu zgyDVi248_T8QJRlP`4E>PcECB!7Zw{sU2o=>gKZE*>MY0r0&NquUUPvPRz-3@M40U zXm4MrFn3RSC_8y0-F()90`VTb;N4}{LOl-N6A11mT!XC@iO0^FG!mIC_d;7o|Um7%!_^ zF>KRPL@wc^abVw*R3P&wB#O1UFjmTk&qYnIZfg((hdHFcqxG zY?ynkz)M`v8{)qFTJuzd$mKn{EeCIf>k=b$!Ks7yqU_%dKbcbwU2Kz??I^~w!iOI7uG!AlUBsTD;Im+=ejmDL{K!Oh+W6k3V9tpv*OUv>9*ifF%RSYQ zLG%%GiYJFq&vCp-^dSEv)=Kb5hcQJT!p^L+p7peggXSFnybGtqWJdBV^n{S+t`^gz z)Ew5dj!YnT!8V><2e;k8nH!f&tMM)_WWow0w^x+B!mr)Qa!And3u%z7 zIrLGK`BNVERimz#4tK;i-#^|}kftqdX!mwoKgJc!(=if2ZSPA}#5$W?-Li3^_Z3Hr z#FC^$&P1Fre{z2%I&xmcU_PkK4%EP3xmGHpE-`^zc5YKq{p=h_4{UL-0P%2_no1ndAnFOlut^v~B0bT>MP+bQW)>KSbmY zk1!d_R(fc~c2^p`mucdTy`Z|f;~{qOWp|v}d%pdX*(r|*{q7lQ1z2b{<2Z)ij%B{B3 zw=>`NJ&59bAbVk#KPSPAc(AYd-dJ>@@UC16$LsM^rBNZemDhX}8AaxAh`w+vKgD*2 z{T6w^K)531quXpfqmypIgEcn{ZhQLZKr*jTO5JY z40WHL^@I#?in4uNN<%nmhdkwZQChg2iZ`cnzWH8-?!oRk0_{o}8!4?fn|!=J(=pR_ zwJDAm7tS5Nxw%!C$$s0pm;6Sa|7t3Go&v*Qpc`ezRN~v94KY)p*~hv2)I3SS*=^Or zM7}PYJy4CY$FxN05o!b|ER*w{N@rhPHd-HPOBb|o#@pW?qAQr!2zMUN?`XqMYz>cy zBn)_!ZdFub&1{Ud;vmC`ql!jY2EV$C-f`})dtij&{~xnn&^y12kXEyQBQF(8 zJY8QlEpV%$eel}BjBT5hFWhRviP=uUUX91jE-mD4%)p}RsxE^ck!|iPC+*;^9T&VO zb|TA4a$(#2XEAHe2u|*pDn=R|VB6K4JK%3IU731iue7Udas91XdWP=g;fQ)L1pLYf zpKAK>QuVkNZ7%Md+WgTjmK-0Ep%{VSdYsipd=8h(^&cpQ>+^-^^!c97m&7E+jx4h7 zFJ|6$tA4qC$J9w=Z>*;&r$Rq#dMd?;H5El`O3iQNaz<6j1GJMl4LF-+@iWOUx;QX6 zou&!hy5PQt>`bpRWM3xfOA5%`3#?l|E~I7Q=x~>FR4F7>TIp8G8ANhIEk)~Uv8|6F z+Vw++DHbN#7DP#DKw|Rk!JX0cG@R?n;T^4;+2`y%IiJx8S;*+?J|D#iD@vVhg5Rwr zxf|}#d`1>s2m@`m>ac&1U6Ci5{4`@GuO1GGpL9~T!J!Z19DG~j?Z_=J{se8u7~M(=?|`5yK8ZmF>5+&w`f%Bk{J%38{|?B_T8o2DVGB0cVq=d zyeRo6=_{*v_PC#uZrbHE^)oCTUK_J~ucp#pyP-1dqkgZ_qOmPKqVyDomD{C^-eTFf zcyS+1sCy=gC%S>3TDoNlGyNl+g)G?)UXiH>s~XKz7Ddk~_~cX-MHx{LvFfC)=G0Aw zgymY8ciYYf9B9G0AybU1rq;JF%$m(GY8u|Wgi^1Im#Ms0=4_zn+k0sw+9PB8KI!Tr zo@#^4T7=r^S55wxcRf*cGTPcxbUr$6%Ehg6dM|74<$477i!5|bvXvRB+=<(`zwXBh zx4;f1ux{AHN%;>ex&L8hZ~)N<@9u1CX>6#it}H7q$ji=5PfbdUkBy0nj0g`8LzeLH zh=|Cj=-9aU#H5te^o*?R+`Rn4qT-U0($dm0P{2z`Nl9^WaSl%<$o12>& zVfA08k&~STU?Q7q>Ka?x0JE;nj`p@Tz_<&J7@nM4dcMB7y}k8vZFO;Gd>GN&)7=B_ z8yuOKSy+DdVr_kW?fJ^$?09K@R$5|gWM~k?$J5Qx%1B35il6xe3D$?bt-V7`;uFmL z(rWiCo_GgF#HZ(%*EV(Z^bZUS^!IkRx4`OZD$7fX@^iD&Q<4%A5)xC=bBZeK+u*~~ zi>oizUaT%m^tVDwa#vf|Bw$DFN1} z-IXas2dv7~(-#sD5Eu{;0P*v7dt|IBFUWF&7;Sr|zrDE~vG@ju{0tkvgu;z`7OsBb zN!g{f&0T$i!^4C9-K`DP<;8^s`2_`q#ibQcSbOjA35uN3i(=xJm_YaFrNzY7ANlZvc$t)~)h*q8AOZf~P6k)b<4)vwX$dnDuLixopyA-<yV$|R7)bF5Vq`@QQ&~b8m;$N{( zbDkDuco^k0-$mB5j9eF43HrnBJz}$>Z&bdV$LZBx^50<7_fO0#hk|Vft1T}`4R_b# zC40a5={T2)k*$r9&TS)S-vD1XN00FA+RlN=#iygS@quXzCzb5Iy=~;l8x*_T{G)EF zg5OJ+UN^Qh1xtbiXTbUpU5&Msg(-nnQpAP0%=DBkxycu_bsXxbZasRyi-*U1&qxft zd4hzAav|0o;!XGdA+#%9h$x3j+NY0N<*~Py{q4)F6d0RR9r=$(BfMwGSol~m-0e!R zj^XZY;&I(}g9HWods^$6N40M}FO_O1FQSyWCP36?F{c~=OVqHO#Ya1My|=kMJ=#+a5nL^4-+I+zii6EZn;(r$iMB*~Cp1vVp4;!Dp*tbU@iju| zu1#SSi^+S*Q-XXSmW#;5RV4@=iYhTEPSUf9sN6Bo)i(5s%ZRaJYU6f30V(T$Mb0g! z;{XYRxcTM6TO3S=CWbFwrFCoyN(%Jw@pH3vk1i-HD*1%60k5tfdrLrdnvs$594i|O zJ>4l<(oa*ZwG}zxwu%CmL@ttqdR6W$4x;nQ5E1FrjGeL%ziZSwZlQiVm z&ss|gOH0yxZ=9^xvMf-Gx=N86)5NwY9hw)$RZ>B6o@oD!fwTMq?fO9QaI@}9HO_Y> z=QK?$-Gais4ODKbONo0R$S&}3USK-58qEYrC}1~ws3>C|6l^6gC3GM>r1gT__`VVhPsTvxnsF-_LNi#Dt&>kbfp34sp@CqJgf09x^_Izz| zeq}1}{*7!@Mjk$1PUaK1bLl#7O&jS>et7l?>)lF^9di|>xZV>lzwnHz_KA%*Z{DI4 z9U~;v4N?TpF;#S4tA+{&Ku5zekDZR7JRn}@i^Pcoc8&&+;NSXk(W?p@96D%WnQYZyH7 z@%8qF1ji&L#YF`N1O>RnbC)s?rn_~?5xjYYjg{8B;}g?LXBp)EJp^v;a; zB4%e=%W5j49tGB~VUm#3GO)0)@m%D;BqSs(efNg=d0Iv(ebc*l9tTB6hKELFl$Mv3 z7Gz~6K^*Mu^%MoL^(Ua3bw&93HKXUW)D>^*-%!(0JV&@w;%N5B!p;Zc>mM8zlTlg? zt#9q>8Jq&v!?S05XqZ^IMBoBtXC%kO=TKCVxq4OTJRKzgHXacH4n7&dLP0@IjJ9JF z#%Ue_VM$rpD_3NsB*dhy>uSl135wscaW>bw>lP3Y92p9UDyVB|YpR7-ir+TBuVL=xsB_;`mVu2OqdFxuySfotQCd>jIkB+xV($a$$B*ckSOmw8 zA0s8BK1oH(!AD0#gfe}|DzB!Yp(H85!^O+Pe2SX(G|k7hhCXOo2QG_*vf54cn`&w* zSCy~H$!Qo|*0FK*^7nVRrS>?;*VM|}Rze}Dq8;AXR#jRQu7um@pNT1S&(h$IiKU5y ztFf}i6ED*nceDk0)vldJIsAx0fQN~Jj)p})h88Wo9!C z2nq0m1PA&0g@rv*_bHWoggcukd>?*j7-9_#Z6Jn{YO!=I_$iwZSwtZ-Xm$lIY zT{T@N8&%mW;-V75g2I9V0)j%KqGDpA;*ye5vhs=wa*9fFvhuQ$lEMr`w4$=-@K|ia zLVP`4pFB3c`_R%*_pXVXpTDoCll@~S7iW7rdut0z^M}S}rpnB`L1B=9U`SAGYI<6% zkFCukM>Dm1@onwZEo1OllnZylFA8RoqEP33+Ig;QX=D>!kl^X=0ka z%EUOz>!NI{{VWD9Wk-!0ojfshliUlq~j@Bl$Tsto1Y#RospLVjOP68 ztn}2hwA7TO$>tr^{pOhq@N=jm>4{jV;ZsO~5*8 z>u!hDR#sM5Rg@JM=I3UorzR)HMT03shWZDEgypoazgS**wz2|Tj@6Z=`58q2{00j4 z+pU9F+pjT+aBz;3Jdfca*YLZ1U|QK5lA!yIj`%zX-)%Jb`x&P{hm7aZQ%(g57B`Z{P;MM*(^UJmf~5)%@U zCva2_Y;^VA>)Fxet=-qJUOruY`EqA@`03su4n7VZE-JX;h;Z?b(~@JaG}ooNhGv&F z*H@I6!#Y}EjZLi`ZH=(Hx;iMdrUqJ#^z~}%YO8B%sw&D$i*k`J6wp?GZ!dS(C-%Ns zHKo}#{ey@>L@%PR8#o`JG&j`NR0039q%b!pJ0mqEHY%&8Yv$P&+QI6|d-S(!FSl3L z_P2NTmuFvN;1J=X?Y>xDdWnXMM?{Q`zSq~*TvQ4hoa}}70Y|2%rw0y)_jGl2w6(M} zBOSxmmKN~82?hhGs>;ht@^jLY;v+)?z^3+w1o%c))g~l%&W;QY^bPdGd*MCZU0v;M zz<;Z)t*$691M8Na7MI#Fv$(nc2@M4U6ORP@&8z*b*C=l{cQ92=&j7Q@YcXo6Fw-*!u56rp=Rs)oyq%c1- zEio=O66t3rBqxU0NFLY47YGpPibT7($GU zgTGKQI0PL3{=U9`WI^-;20efQaF3gt8tUpmAfPZmCo>}>Gb=wgzr3me-dC8?(g{P1 zPlCZcJqY9oAm*;N=H~jEs3{s2}wywaW+;DKVf4`K6^bjI=#3s zH8-`eIJdZng1x;26nzHKjp!X*e7dkO3?CaG9vdDSMg{@EWRbuI0R29I2r%dX4tq;8 ztf8(J$O-uQz?W}s?d(U)%_0WsOKKa2XGbO`#zw)2p&fuj*fz;#Ly5D83G{c1-b>6ucHGAs~Ko*S2rBEUnA3#)AI|FK_naQc)p5f`S(b3@%0BUq}e0&^$8Xf^FI5+?n z4yYB-t6re9K;?VEdIGlNW8>3P6O+@^^AlYiePg{<_3+{0fibZ11AYDQF0kQRo7>tt zhDHa+SGLARx|$klx)!H8TZUGr^IRfY2ZzU|=K+}6+1Z(?iHZ5exw+XH;O{OjOwUb? z%?`I9rjY^~9|mA1CMG5)#*xTI0H7hTcKryT?R{Wh1DziLI)(sCJ32BpJ~cBjIy^qy z(bJioT8BIudxr-QK&n6sfiCq90ImZ~bv+}alLH;)>4hy_^<`D9T@{HrT~o7jGm|qj zQ18wqI`EDwnE3(Ffg$8x=m)(JgF_>uy>0!2V-sT| zuwoD{X{ako&M7GC0g5pJq%$=&Gc`3iGdnj8u+5G4ws($CjCbVMkAfXPIX*E7mI?@G z4EYABLr5(G8V=wf`hjfv;YdW_K!C%Mu)4v)g*+VKorC=uF{RD5C8f2n5@;Wo!5|2a z^#V{}AQ(P6GB7we)>%;v{BBrYY)VL6&v5_n(AeY@00d$Hg(&Qfwnc*)g*)^dj_^4`oYwJdW?;MuSp<^ zBPE#{XogP?w{^j*8wLmayPE4@@KF$X8Xq44`aFgV{UOzQ2pItUd@v!92PW8VM@KO@ zm)cvvx0d>zH2<3F`sT`Zph2*vhR&Yeks%Oo`;4cjtGllgDMwgMLw!|cc48tV8JwM9 zKMn!vKuw2{8)q2I9~>I+HZXK#q`QA~aA=^dG&i@TdjtU#6|5PM5r7Y51V91xMM46y z>W70!X)oCD;3x*SX%F(Afpw($)s$Cs);2ab)z>sY8=D*2`oO^fPBS2(UI4zer5#*D zRYm26#pPKMfw}PhL8Q`y-8%q)9jz)r1$M}2Uk{iDz&8N&bFjCwCcCT~NE=`nLvDQ_ zMj%xr^rM1YI0ORdG`tU-LEZ49TcrzL*OH|Z3(c=?ZmO-Vsi>=m)t3~)0E1zmL_OW@ z;8KHD)k2}|C9!E4X(^GR;aM%<)Bwr_b_n=__abituxkK1z*p zTcCqr&Aw>S=XFEkL2iG52&hC?Pe)s4Ye!3CYkdo}zCy>iy1BNd4hDt7S{kZL^2$4o z#MuunkH*G2Xc3T1Wn;W&L<}&bBO?>52S&SEdw}e~iPqiS(*=|a9BaJ*AyQC4r>3Un z#yh+FyW7A)21njqK!l(Hxx>KL92o|S4CFa9GKicLxI;SHT0vB}23lEOT~t$5SRc+M z90+Tztc6xL)fZ(aWi)}vFHo~iV1Ym@OG`4dvXk@6LVcq{{e6Q%!;&k9N6Je(!KA=i z0x-yX8@vK!VEckIZfJaZq_3^IzHb0l*$md8vlGzj?E{Mob}Kkd5CcO4$ou2-oz~mg z-O=^uwgM_4< z_?VRV2#9B3MpesLQ*?fJM_WgG2e2QI9g)Tj2&aQf38??j=uiU)yqDHB6{nRo)PhaY z($?AmU$Aw-N+ajo*#@k(#+uslvhw_*?2Meal+@^q!iW>iR%Ot}vW%3t zxVStJQ*Ua3HPi$1th6X6EiEn~E+Qo^BsMWF$Th42*4CFDSkYMr1D9Mqtf{HF5ge3t zwNPLRHZ-<$z1#R+*(=$Lu0Qhtf zk&%%AYD7ddaPgud!oxyCLV_a_qCBllADWpM+_|l(p?`zxW@ua_GAjjq!N>@ZmkJF9 z&S6ksU?6a%Kvi^1Y-}_rQDNZ`!6CtZfdQ@_Zbr^Ga#pSF?E^hrgW`bMpA;1x7a1KD z9ubQ4Dnq@2ckAuz?|6kz-ZU&dE&_PL!4L?@OL%+x`S|$y`1<<+SJT7Y&CS)#E6~Tx zz{1|)k-3J1fV3P3^Zk$z5K{(Dv#*~&#NW^N$WaD8UESO~y!{{nfxx2UY<-;Fyxaf<;J>>* zadLWWZ*OB^Zf*Va@?CjzW+FcxV$# zE9(UohEp_D)HD>wj*$`&QJp$-hK}wm13f(>J$QHW1TF1}6DQA}J9q9p6FmdN*>fBh z&N6@~7ay;%C=2ad2>7yd*3pA|wRn!pFtN!pum|$at3V z0uwzKwHv!NKGP{u!jl{vEbMGd=h>OhBj0geU|~7Oc(}8+vHb=G<<+4bF5d+#x^u`n?)u&^*tK|x3Rh>k}wGT3J2F+Z8a2Hjy(KI@>AlIlcE9xLn0H>k|JZ$3#(fC zh9{;*2l_f%dw`=bIW@EV;>G&r=H{!97}(fYxVX3k1Xx%k$MA8DoNqT;@DKFMwRbgpY`c5rNEX>xqDuM1c;LzCmc zRPAl=cC$3Jv^Kn>uB@o4EDkh8ke7>#kDpIS`HrTd@?9Hu|G=Q|sHmvu2(Wei0;9k| zms?g--`L#NH84K2w6U|ZyZ`#-GDw7cKtV;vL_0iq^J@F$*53ZXyZ7%waNy1M#_H3h zXRC7)W5_$dqhq8+P7K4PvokVhJ2o~U*ed|!)#KtLLc;<)Jx@{}2MNuS=T72d z5|UF>5WHEKU3sy#eeiZ;95FQ9+c$?oE263@D=sV~bcvHqKu%5TzO};>Pe^cZL}F%c zetvOPU2R24S#4|20I;?vXXb&AHVE&64-OCX_7C>9fJ?cdx~u@CpyLy>^OE9Asy#Lu zu7(FY+FEE{l@n!Sro&kIbo|s=7LZpubCUXmm3wfg4KL*xR#qNaWzjSEY#)J#o;z_{ndK)pqWn z{=v1#QQ}MLx7F@?CuL`3*K~H&LgCLo5}XmZA}4e8*6mwYr6gspURS%qPIa6P>_T=a zjR%&GEOpgxTiHKQQ@N%f%FlI%n3$fMmHbVkpBzPuuG=+IzqjP1XKy&^9rNpTMh|Kl zs5wp~W%I<^-a9xnG(6bD$v>ks$x>P`wrvIN*r^l5=vX8K&r8yKQE;~FLmyij%hRqb z9pjh2EUs+m?CGQ>E@S2@ii&II9hTqRke60a6k})dj%%j6rh_q(5nD30Ny zJnL)f8tg31uIe6WFN?S_f6DTY!`!qkouwpv)0G@iFpJNsWD5y} zIB3c8pGIkob(AE=6mXAE%kO-;*q)bLQA%f>0MAX^Y9A@3JwYIFcdq!P#gvE zd~9Lk5d=v1dpO#dXbV$p^mewDM_Q@M$%t{E=d&m|pkW~2s?BYC`Qb(1GycRqCPgDh z_oJ)Q!x!T3W+26YHIizGzFMeyYVG)&apneN6G z_z3XuCs$v8Jlve_27#K|X2kMGJYoWjS5L?KJ8E+xJgiO4t!-@V0DW&yS39%&n$qX7 z`jdTJTwR^ONpe#`1Z1tq@UV`Hx)&m524VG!)Jm>laq)4$=*>z`PE5|o$xe+4_IYw& z_Uy+&NJLsOw7#YkM9z}}giTty+FW8viG7ZMQ_%r z%agrr?R`_vwzgl)_QOgtQ_>4+duP_)pz>W3xh#L}mbR|m0~1SoC!{sx=KR>!-0-ft z$`wgbVG(iZt2cBEtsWy=fGy+Ve}8RD(d@<$&Tuh zik8XOxRhsEIJm)mub_NGThGYM+TPLC-4kgqf)4^&1DjOy*3DZQ+PVf0E$yA%J$--) z2n;wsZ~(diPOM@MrE59Q@7qP?-cp|x-7#Q{1F9v&9z zn~jyH%j>UEFtBm3&_C|)Z0){9#U?yPMSFsVoDgkeq`9)PdEzbcSsn>_C8eu+`uYYB zj7%+U9h}`fkZ6#2fI(+xWnpG+VQu&LbG5IpA1Fr#shhKdjk%GYmg*H@jTpZ`S4z$c}map#_)5y)B@85ut`1FMR=>FEiwNM8zg zI4T~%ICgyk&=}s;P>~hpVxlF%dbc(^IxsLixwyWMf{9B&M1-^&Q1&;Lrbh<{hQ?-} z?V?~4k<*^0XJleHbCT*95grx>8n9l_(9lp(KD>RifA9evmz0K)Q%G9*mX6+iQy>Kk zODijD8#{XkN9V72yuHCMN(Ts#D&y+n?EK_QadLe8$j;ir3 zi-G!ne|KwReeK1IwY80x+q?VkKA~aZ5|UBS(lMN8W#{DP=H}wKz|07)OmZ?}0z6zC z99(=tlH*h-&z@)J6Oz25q^6;B@4nGP`$ynU@q(iQn9}Y@aeR{nkOtDi26&DDIXO8x zK6Y?;WN&9{V`XV>W@2o3U;i#}eAI7Tzorawl)&jEw9RIXQWS z&qZEdPVS1Vtc*0Ugh7#(mXVc{zpA97ss@zw&RzWnMkZz!R=|t+&niv-E&pFgpb=UA zwKG9}pz}-lO!&Ks=Kq1!5uAT5r0==^`Tg(ke1q|K@F4m8jxq?g{YCjYsWa~eT=Nq@*K|1R3rST_hUuql0#KgZZVqzjc0Q*CSepaUM(SOymzZA}AhTj4D zUR+0wfFw-x2Q;4_fUuAsQ~r~(^sDOc>b}b8%VISAB%JTC ziHX(08bpLX!}^};5s%MszF+8{vBJQ|U5?0!fn+^$z@L$UsxRx;2!J5VkFt>fPk2Pd#gG911P6)d zCoo?hzkw1H1@sz3kc_{s!x8HvXksEFqM}DyB=R%$uauG9j->oYX%smc`i;eJQT#?u zVj@TM0HE(_ds)|8wOpIs6$0 z0Qn1AzpDH)_7}bXy6Trez7F{nqo2tg9Y8-<{@rJBu|HVFaRR3W@NEFBd z+}pYeQy^aa_!_vL8*-&W}8=?}4dLG_=VtmofW?2z^_P|4kJC z5Y+#6`mY53D}nz?;J*_1w@ct3ag+Y-Abw!*ziDj#YNr3i^DC)*tNUMcR(=KSKTVzsz-hmq$Aq_U##&gZf=L66_yXM8BH~a{TwHX5{l{x<8Ws!sn;l z_+LN%fbHwUpCEpZ`wN(#$Q}&^aDKzB1^le^ZwqMri`LIE>tEtLs{Ack5Ly0Z8=@N^0Ud)+gBP5E$#kJK&UfnEX^su_Qx>?;^-DA~gt{Tl6 z-K(3cn^mK^x>;R|JM#H|jOX|Aygui}Ij6h({};HesI90wis6zcLMNV%sD`;WEVW3I z(bjm0k$6MFr??grU|bjq&^>gxxf*-8+k#jhyE)7QM**HXirVYA6CYnz*6SFKI?BE5 zAxIrJU9JAHC4QAs)Wn!PblIhr-NmRkL|LTQb-7tI6*D!}wP~le7z2eaX4^GoU#iJN zK4Q7BiK&*R&4FZfIDArB86 zlw$(`%C!NC{>PR)RkuLwM;shwh9;m_xo+3UsjkjxmldoOxSQA4#|pj;%uA>X{GTwp zYkX%!1MlV^y2Qd-Bx({Hc3_cY9cx2FQrkbO*}}4m(A;iG+mgq2<zBH&e@`l!uKjI+-^WPIO>#5BD_V?k3UeX6t<$jD<>H^DGw?2Vh$gss}cm70EFvH~fimOs=nI^1vCp@|@uC3!{~l2}=m7)XvaC^w9a7W=_4)!rpn z`|Ik7rOx;V%sPTr1b)-(HN@z;B#GDroW~9FXvN-+QD7(g=Ew5n0oAQ@MiX2}xZhz>31;URu~fMuYFdR77Hk{bOTE>j(0j^7c_cw7Nbfx=Wc6 zAk+f(^X?fImaBox3)Gfz#Hg?Cn=++3kX|l~ahT$yxaDy7A^bGEE^7uj9mmU-7M(`5SFWc7zwgJy-ah+VNTQF zu0m19o_c(DL0DL9k;O+>*-~gu`dse?KK}CcJ|@@61{NeFEnEf;!Geb1X{Y!qR{l#K zxWkEOsqAD05O_;??3>-X^uMH7J7HKtJ^!UXPF}X$Lpxt-lPQlhAtnQ>u({}|1~s`t zW3!BnWXZkRPYtkZvT6McE>0M|BT0cjf+hHw9Ag^2aiMdPSv`c5oNk`c({Lr{xvc4yxFcAN3;X7oj^g zLw#Oz6TmvUZd6D^5?!k!Nab7jm}HN9b-Sm3Si7fg^cyOr&V3u%&7+IIdDM?@GIc}m zQ7e}H{ho|!cGHDywDIrQ3eG=TA(;i2cOt5@sofVO23T&VCh1=cdp=lX2M5UbHeFg` z>&ph&HNEjsVhT1C_@>J2cb(T9Oa}2W0tKiA*7w$jwc?xJ?etvY>QoW~rLk6e#GAj}U67$%V_H(LA`O;T zXg>UcN0mocx$$ZAakk306czam$Fh{pP4GQ>n3XobvVKcd`~~i2(}1-U50w(YVpe^S zgutX?D>Yp_a!E$&$#QJ~I~<#%{u+?NuwSW#kb6&}q!VRbM&Tf3$+N)(N@?cI`(V!7 z!FGZ@8?UO0jwCLAwy=jt18>+djw_{DuydbdlS8&|0WaT-Hm(MMK{X{y9Z(6YNvdwC zqqHQSwkUyG(sBp`wQ%4mG0sn9`mJHVh zQkMA6&PSQ>>+7zuH@ah`D#dO-Nvd5Xhb8|uUH8`f@q+_Z(R@OM z7815=4Fj3g^^LvDX}$%Bsr{x_KG7zS6-wCGUeqeAHuKkLZQoej(S&I$e1-h+*6(?d&J z*7*QIxD)D)OYY1;dVN3ugAzY1DycE=IPqY1@eN@>BXg8?Ec-SbZerD@F|Re1Psni8 z06Us@rHJHKB7PSmF$FHG;}GFB-S%&L$gHYf9Efx+}7y@ z@Xi%263?2kotF*ovFULHcx^15QnZ!g9~t)p7^~E&RNO%iHB#l`XmlK=-o*VuX0r58 zq$U1ZXtIcoL0JXwn%Aw>$Q0~G*Y&OibL&_<_a$o{A@e8ZvgF&X(~2k5?8|AMP2ASY zoRgUN^LdML6N{Pa3aRtI`LGiz?3Ga77GF-X#4Ocvblb^mLRI`^I^bGGHmp5a*##BE zL5fBP=EObA7HF$f@LnsC1!!2-<;bnVYlk4JUa?1h^O8@bVXcK>dUZMDsyy4=bc0;L zxcEqy);JBo@M06f4+{dVhDFFBPb%!VvgvklCFK{awE#~lhIAvAPYk&BjKIh|Sj9pq zOdsZx(OnYhF7I97!<3)4db*zNtPy3(=*?^@mWv?BqnQ25-n!;UkGQ>xj&NR{Yrw)4 zl@e&Ckf3tts}$#e;Z8^pDN$=TmydWC#09BqO~g+%l%Q303H6n71%uE(*k1Na30$vx zqT6v%s)$>Rp$;^&m zv$Y{&M^5a=z~(G{2}jc3&jW!$(Zk1Q#7k>+wRRy^s)AU7jGR2S1-QAIK>J|LDZ#;fX>ohM>8sQ9|uU4l=!a{VK%53}1Q(~Hba zv^k;H1&;{xF%d1Fl_L5To3&jHOPSt|;EVPM^-2Yy=7i;R&EVF;aT56nftavQ{JX%- zp`A*sC4Liy>)T~8j|p+4d|KISz#-w8yUkdn>bP)70yW;if)63eR?(IP^W_|7h7cL_ z0KrO+mNZA->}&cWEvnD^8g#1zOAr+&A0Dx{D`e@ZzRBeDE#TfSRBF$6$Vp1%x*?vP z$;Rd%HY-pDGYjDRD6gYUv-7!5+*T=(V@8HTb_3=KdC?V}TG!dFbPsVH+r`&QWyJZ; z%7>b-*bO1Vr5W9~^1cF5MDx`imp)_Tz*z6%hIeAR2iK1n zb0!N124xmdU-rj@3%tT|s)$=~=65-V) z`)VRX$~xN3%^8QSqA{;iYqg22(1yW(%lRs=m>`(M#nHEQ&>5+kT%bf2j#s|zRs*Pp(h^oUFSGl zwY2ZBFTp5!r~f^@(LK@Rm=Oc;yQ8vRdUfYSW5LbU$~vk!u}jtu)%L7p)e(2ZBh36a zd$dSREr+`a@trDbD@koWLC$!BYK%3dEDbZYBUqBDUwnlXLD9fDpP%W*VGDVr+P%ATO->iXoj#!HX zWma1A>@vuVyAEfz`a33=nS%x+`u#hyzYkb3fypt-6}JXzBlrl^r5ht2%EIgBUC>h) zMl*Nz8bo2~gn4#hiInW;tc5O@8}z9(T^x7RTvo0)S1>)p@D2by%tLg~ocsg?+oLez zc10PlNVT~P=Rq}Zm`iMY9QI@uJE$09lOK>sGLS#O$fh9Z3^aJH*!%x^8q0_@AIdS>OPM}#DH25a3y=h%d0`%=OOd9s%6BOH~m-n?P6l^-60 zwe{tNEP04DzWm04+l|f$h9@MGw3 zX_V?>8mme(Iz~Ao7u%Tu<=_(vS*945`(+f%^<<1?p~H z75o4~K)t`uJ#~v>w?QuPb8Jny#tBT}sr+;$4;RL{UK#jW*V{n}#|5t)w46y`r2@as ziB!TqzLu6AwAm~*soFp!nj>ZdNBY#F5M9RzAd1S4+BWjHwsa$kxX}pcWbS#;BCI)$5Tl^X zp_{PUWJmhQ0N&)J%yGv%+HKkCEQ*}`8r30HziUU)!<%E)YDzOtsQq|{e0AJj1X_7y zg;{k)2TAd6KEj=F({{rV-s+g~s#2)O9RF^}noUWGjsjIBG@S{fF`_Q($hDWH>DWuQ zqpXn?*78kA!KHs64C!Mb)-Y;SuRn?t=6pPWUbBfwVN~xp&4Y(|`laE@7y<6?`L}^F zqHD%vhNhgA#dy>`V=FVowp_qDszP-&G}nj-4D8EA_-V{ogqaJ6ptkYD(N%G#R`&o9nC)xWVPoV;zmcNbQYyarOM&uNhC> zFV)b*kU6Zm4XZpx05}+cG|*H8ELeT@Jen%jDYA&NbR#Uw;9WeIuwr)ou=xV*>Lx)BA!2RdBR;y+G1lm zdTG)CTQ!ng=DfWC?AP(Z72sNF8Ba6~50S53t4DcWL0LwGI4`nmSYvM+@)uidn!I{m z30}@5eIa%GT^vp{~e1wmyEl^_EFw-)4l1Mjz;Fb;Qde=bEM&MpH6@KEd>`|jV zg0uC0W`2fJrJ4=l+Dyvzt1VNxqhs-zWt7X!OxZZaKKC@^h7veQ6y3oP{B_v1xAoZ< zF3Y<1#i-@$J**b50#f%jM`tHSs^E`+d=NoELwV2oeBGv0J;4IJ(7_h@AX4Mica7Q* zpQ0JQ`)Xls8ouMWxowt2K;oy0LiTFmoG$(9bFjBkT+h7bW4*5%HWZZb``|e6TAzX3 zV*Lzq27eJ0>FZ?)Rlm$o6e`0rvPjqRqw4*rV6@$)v1EkQFk!sc?J9E>0WA$D%8t|> zyhea{7uC#{@9N1{^_p$fol)D(fwDnxR;yPBjbtHrk0HM$f8)e1KTHW@TDcKw{Q0nx zVtOZJThmZGN^bVcc8Lf0k&C_cW+>u%6NG~Z>8R#$k{nSNc`khK_1Co`-ZPSBF@%r7 zT&~7`HzT2kJP-<0%L6`poT8=tRzD62rhIQ7}4)BE7Un4zNKJM3+j zMq7&>WCzx0$#omV&>^LHSK3hCP!ahU@cGWy!D*{|TaI1I8V{McYsLgeO;tEPDY=VC zppogu*@%0hX)teVhXuI5t6cCn?@+}$96arKX5S8-zmMw^NB{+>k+&sKMc)t50QCrJ zi@aC_9euki^Gbnqvue=v1-M8kI1$_)VYzoc^m1V)(J8bY7FJ0?-I$AmBORRe-0dSI zYrC%oXKPpXPpKxkh4=V!IosdZ#AfrlMhe>u+z*Vh&E9s&wh$fcIw9>%Zm0UzG#PD( zqj5SnP?wy*AX~rY4nZ-}Jr)`HF<5RDAYsTZU=Qv8UQR3Mv+R}jhA2?%a*nS61 zIW`8^B0dF1V=sy5=A-&7R&hsgQI|nR8hDkF=DUz;$9JcnQ?v9m&_6x#WX=% zvwKhNSq{RQ$algl_fj*|Eh=hJAa}GW*m5rK;FU;Gn8xg$4?T!$X7r;ALR8*uiDz5oJ zUG;OWQ&@8<`hYL_H0pU$0ew}W(r9b!)AJ|xFJ&}-cGcQKC-WA;1oKycnemp${UJ zsyUlYfp(P!=NNs~WD7;yKXSQLwTd-RC65I~>kjMonv)LWR67Qi3HG(srwT`aDoZ$B~lF(>ovmx3m2;_7g*zF=|n>Jfyr zN=#DW&76{eMTJ`{FwbBo1znqA8V`gT4ofJZmU^{5hp&+BHXMgmCaGcfZ}SC%W99Y@+$3QD$j)H6U`P zE;o_5;W~I%HcemS(f4|t=5#^ufRxE2wH?v&;Dqh>8TY744{ss$d>+vnf^t+C?V(`+ zb}x}Q#i}%$B-NY9RWpPW&+W>yn9#Wir;7YoNX~(n$h$q$GUX563TmIobCfc zr#8iRNgm{UiDbJbsYa{eqaVMwEu9z^)SMAczWW_#kK_`;J1!E8N(9kemQSpt5}urj z4pQ=d%R@bpl$$05&@?G1DfEc~J$ZcaEp>!wD{MDiTuPKt0JUj!@Db}`%5$v%qA~Lr z272h;*{!-yrQ#wY;wtgKCV0q5dn6$t=DFYU3ftjFLs5#mMf9RZ9|d3moC6zh7BAqg-P+&xehcWGuLBf32?DlNSMO^$C0Iaga> z(j8iHRK^yYT6uF}y}n}HoaMd^bIANI^++N20IAxCXW_{#zX7nauljaXevgPjJUeORWP$LNXcYcutanC*=-x) z1P`Ithv!%x>x=j?cJUL(3{RA^A0;7}{cS+&jEn9(sdI?1o!ZFoVybFpDK-o%>fJn3 zTR+kSM+CqL)^RCq@!yg zoxkC$n5Lt$FTo!s9;6x=s?d7HBtM>r1T$90=iTeOMqJiQd7Lmb8n@>X-Hh<(2GnYR z!jF{FSSTbk)nu(LYCu>haH)zzPMtDvf;zF?1~8>@o6I$)go*0(m$c|H)3pNr20St& z{j~#QlC?@h!Ncpp%1*xDdhpDXqs#DxEt-KTsknkyi<(A6&d|Qa1$tzte?q|;`hYbe zb%?T9ue&VK5}Z9F0?KW)@Dc&fi0jr?3G(hIn5na{gQEMnUgXgwQw?&r6{RV|JV@g~ z%Sdi)6IXTnjQw(kGhFKiKM{+x3vE;ucOuA=#8#dmq9A+JCvmthvMjK!F3eY1aAf_E zGtfU%<=h2B!3GeuOkKeKigRDQRa^}MKuye`Cpuvh*eMY17i+Mh zkvWHtRmc&yy9QG5LhmZHXxS&ZH0PY>{9HGnkYvMMYShFf~INjXu#(*3)%3K0nI4VE+(KAdX;z`)3Q&;CfAM@d|uoVAUU z-En$Sk=Dcov4&DrCiu83yKbt!(JlFvw9BWLr@|%kHLgU=OQAs`5M@WXo(Gj7yFRW^ zsiUL8P~?80vlmaQh;OET2YKtVpA;-)N4F*uXFp?*oyAuff48gD5Up3KJLaA9+*KyL zDQ>!-SeRfkU*L?9UqA08Xn+E5)?;S_6}s}N`brk)l;|9jCv~_4uj8bae=KA%)=LMC z;1#j%n?JkTN9wGj1aHgqx>BSs?t1mf3h_-69{AQ;yi3gNcg?q67%~7jkTg=4wSm5p z-qNpCcIG7>*T*$+4$NCR`amQ+cGGV|S9WV8v~uHCSlZkBPPm>e$g?!Pg1nqg6rG{U zj$k5vo&G~L;(Nj!?04ZoP2@e{YBh^s`BEEsd|p_~>%NK%v*7v@+~e4y2M0m-pg+CU z>QvKn4UbD;`QK-zMg*hhY;{ayL9(y}=)9tqw(^^Wv+c6vwx8V?1@2S|`7TT1jxal* zbjvUwQ?s*+zXZ+M=NK<#$j^yOkCAF;NYjO~LpL{LszL@$eM9aBlE~M+#lp05Lgxzz ztBG@wU^F0nra*|bceX4YTbk0I#}%-$*J*RRlWqfOMoP2(uZ!HK8p8^=qg5Q zB`WZiP5xom!ww25L7iQ&O*@PWmnUmWB; z{lM_5LywiJG}{P2)w$h^3)evi{T6m46tn0T0G@iOr`{LL=888L3ka)fkUB}oAA75e zi0qDGK(YFF^dM7J|Eu{^Eb%JfStBd9asc~!3kLD|{W8!a%4P0N?Q?I^gkt%deAi{J zHM!%q0aeUMK;)A~3;NV1yK=<}83{LGu^@U|NYe)5>}j}iPw#v;JF~}i{CyF~iGKEq zOCOktbDB6B|8_%`(5^6X5~1xB?36+H&#g{3dU*b>%wf zk_OnT_&3gcAS34q1xgQqQ8OvxOx`0n?pW|B@~B;nBI?Pye3+4`+bP^=uT%_SI2J%1 zd$=)C%RgXZh2OXoK%sV&jqAnPYZ<)iWU->?d!1l`fkIQeT|i3VZG=1DEQidS2(Gyv zr5Oxltzu)R+M;&VKw`vJ62Owso+U$S92Z#=*5mbCzREfQ+q>$+y@`k!&dk&gSaAY^ zq92P8`}aVWcuO&9<&Jj~Kc$OQ`U8{w+l4f&-C*P4dp4D1pqmmSwr`<0LGg|N<{-Ir zoxVYk(LXM6djkyW$x=uye9v5!JsTV$pB6uv7TY}xwMZ$*Dly3MOFhIUkisX;L zvx`+KetffQrslqV#I%c+8_7f68d_M#)XXK*PD za%ihMmv+hEE(&ziE$=6#>rQ=9F}K&{RFqn1s%Ub**5}Zpo!q+PCrqg{4OJ{W)ymDk zp3|$0oUF4Do{U(m2<5*{H#E0T&FhyW5u$?z(iJ)h(2giVln*TkNM&(qu_)=p&vn%o zmG~npjhAf1<G zHRZ}Q`;al=6+Ips;>7$=&V&$tI6c|8+4c=COyrdZ z*wte|Mm^SqSWl;~AUGd6`{?11Y2|8lUNdNindA;PJ~T!mWBx)zY%fH1!X$ctcPj^d zMqRCkoIAo*uxByV-1dR;hb@=8{K-)eqw}KdVS~LeH=P-~R?_{DF;OZsWQOE8AY{MJ zo4mW%gjvJcN&_%l1v%?wds7N9b2hXo(Zw#7<*ARo-REUe6Jpczb$8FmAJWLAvT=~C zWpc2nuZefgF%Pm>FoyfXFoDAb@3k{5;c__y%`@VqbhC?hEFaJKL`G`b(i456RhxLo`?eRkP_c$G;V zW{0HUxVJ+i8#rj}!5vbZdv=LwvRNi`p-s4ABq~0Cyiu85qtRs&*R;#%<~B?u)b%v& z7g2<94mcEc2~ubFETM?Flja4@b0npdc^C~eV7uVY%$^yOSrDM+Mz2IolHk!0V z4ry)1-FXHG9(k+>oJ0|d+8*h|h|LnFSw3Z1Z;{Y`p8O-MtoULV#^3=z)Ib9@IRyJ! zYTe}{YDJUt|1+fipMest_yz4{qe0`_*Kb{a5}Y`jT(^(|Y;B9CYyH{#Z#4B)#Tdl@ zhWVUJ?CMrabeNDnro)h!vRBs11F+%-bc9^Q z5Oul_O4kyRFS`S*elflaTmA2!Y=(tq);DJE{9j)lOd^Br&AGaF zuKsxR6}2Mg|9Sy>s-BC0WELhm=csk;Eqm`fbuQ3uG1vb>HL|uwngLWugKaH7Pv@y! zMt7+x%yKHi{*3Sc-|?+aQPewzW;Wf=?@&hP2)zYW0wrF* z-6#GU*dfXax7E$oI{#R@5GTQw55<(qH{4$BZ>D$y(zc=M#UFBb1(JM5fX(7CHh6aq zi`CN+JOYJN+gtg|L8v2|ihfSpSlzu(^YMzLg3DeJIwp_y4FrJ{%77HW$*W=Yy&r3W0YmUt&O(~7N#t&P1w_Y`>o|GklLqGAD#?NSw@k}5lNBf&BkG$M zt*5gDeRIOsoJDcl(#I21D}x|Edm0Gwq}pcmel`2JmDTn=r<*zg`IhuG>Fqo@w$87O zDt19@OWM||O)l@)^QH|nEic4`@`tA%4g3S0c=YB_$xz{^GLUNw;G7{FR zk4=IFT;SkkrXtP8k1xn^i&$Pjsr~WmKf?orhAZrRA}+hHYLSe;X|!JZ6@LBW`j><> zJ=MAxeQZnMuP7W_fstH(;2|&rGacrciMS$skkOrW^DUBdaWLHa3&T@n4D^slYQI7K z&5A&$<|Sh;o0ZB#ihba}M$gNghbemnuT=BhFs4QVBdg@CyR;1R#y=Yp<{uB=0dnmh ze}#mz$tw&Nj6^c7ioY$m`Q=@dwr?UJ(cdGkNuvdSKszp%yZKlv%pQ&d$%T=JJ0@Sj z@zbP+tBPWBSPt7;Q9!8(fLdS(JvLd4idY)^w9-^(2=3cB7G!T2gw?A202=$ow1{@~ zlYu$yhquJv`a7+7?A3%H8E|WK)$d=5xWH_U3C~Kh%y3oz2V9k#(mvryM4&{864B`C zg$k_n?DL{qjCG-fI`~lssF&B+jw)5`d;cf~{wgDTHx?+;)i@MNzO`z&`?T=C;Wu+d znMB#LY_N+Jf4Y6+^*4fE^Hh0uvYcvbrK)029GwU8$$87ZKd4{DvWX#Mgqq56^-yDh zv3+jO@-p;oJw?BlCuzL5p$UUDt)2Z}J)PS7I?ngf+BWibXKS1<>EGO5qm0!BcR1pC z+HllZO7sAvzM|7SQJej{;om<&?kx6e2n-CHruXj+Y*`V@O~EK%zqzlFK zggsHOrL%5Vp!RHTtObqt?jOVDFqt3AVf^3e$ENu&xVVPPnAdZXJw`hr#XG%lwaMWx zw1V6(xfzu|WibloNZgfSwcnmf(7*ZoR1$C$?dT7ur&b{tBZul}QG7Xr-+m_igSNdF zf-GZAwxy|7IU*c0u!rS zmql@R{#N2DC_tfQ-+$0|e%Y*Umjxp5NPqmqKSTZj(xv^8|IaTsi6Z4UI?Vq-w>X6} z3(Z^bPtUANZ_2QvN(&U=Kjc3a;`R0`D&3k}ow_>(?ZdIY@11@6`0JZI0X>hu=t34f z4@Wi`c+YDLZyb|=7ZNXoZb;j_Ah`Ej6;0&2Pd)B&Dt4Rk!U7>WklP|&$Az_Res+^= zf=c{)u&~|vYYo6J`bYRzXM)i!z|@G<->B{F3<|%lnyn;kPe37Sub(Bz-7)^&SutSP zPg1S*2ES85Ke9c$c2d5>=+>8=`rOMKL20Z%4Am5aB2^pXY9Z{5lWB0m)vArFNst5* znF<`Jeg|#flNj1+=461$AFh333;2z^3hiO(E|KK?%^3jvbLIAxC8GhWQe7THUGKr3 zXncDegca9byh}gUOO-2Fm@2E%Zet_oo5l~2r|skC&5I;$pI@@X)xUIM!=K7gYL_(h zI}V*nz991VX9^WA%2fn7l!D&DrS^2~mykvy2RoWP5r%_Ju57L$K=MfZ+EV(ygfALAmbPwYg%P z;J>hjYi$pa$;Kh?_p{`zPBRHC2a?Yg;XP|RWIZ5<<%xL7kY-jB8{l3yM!T!*=aj{= z4hluv_cgmh#)In;)UPIi8wf_AWpeBQ@qx$QENR`G;d{qzVb|!6Z^tj$r!OZd_A*~b zQ-bFM2_v*?Uv$bX%Dtg%_)T9a(Bc|@nU@;e7cyHH2;tN96Zwb-m@LFA7*G=H+_|i) z6Z8iC`{h`Q!rmEMGUUCe#SK7Q?+s;SxqiZT@$y?X(*0ccX#`Z(^`1fJLXKf?W|Eaa z>_}Z~zOQFBAQPeaL<0+5#V^02ifUd6o~#_S5!+$iHv9DUT1L7tJJvl0h(_qCq-YL0 zyJy2c(E-XE{<*HMocJsBlhP%*zw*lkxduK%5>e-8QFVVM>$t$8n#_`BGeUy!UM2GG zxmc@}Ic|sk46;wJsVG#cZM>{Op$&gQ7R>&hnT6$CJP$THjgr#Tzi8oP1@EY+--z1k zFyeoWKZKkmnrrd?%U@AEOFQ=ENW%)7q}CW*Ol}JdA)#bMODMR&PtYqAxWLk0^B>aU zz0!T!F3+`zI^&%uMXUcOI?x(K9=#{URFpBD)omMM|B37P>ytio4NfBS1{>zo$&WU( zOOFKc-GP58OujQ!DF>U>0u~e+s;gwqHnk5!9k6~%jT`)J%iT!BAIOzZ{DV!$EbDq_ z`SL~Wo0%a@u3~OrHm*4A;lN<+yP}*N#TF68yU~IzRBCTadvF|I$i^GwY5JLDF5eQq z>ofgR+Y;}`{a@guPj@Qa%yh7CjurV`lo_T?f3Ty0+izAa3=iI;e*DaMJmup2ldFQD zLy9~hgBjvY)raw2!d_%;(l^hopGQW3FP6WF3{0g(ot$B*wgr^iAzgv5QdQbWd`(Vx zKsj35XySP8m<}}63KM#K?iF8|Estabga-Hb)`tmA>Z@rSk?J-hz56^{!m9U+%8gv%1zINAQ3 z@PjFR>4&lkPNVq6T`T~tuHXK%e`owZa&?glddHal0suid6{l}sLXG}g`TR-Dzpktj ztFrMm=6K_)<8R7;M{n3q{+POOv3PjVLwx;&ao9xd24srWxPQ7DGvE6B^;?YGx1NNS zM^A-Yg)|aURdQ0e&P!&^D)dFhVw$oWgSBe`wv$oQ_0F5Pgwz@p0j>4xr_iLKLTs;0$;dG3W{MCk6j-R>tTLrMcJnJ>4De8!BV&Wmf5n>W zR&M^W#ogH2t1K}0EmOhFthTzWmk~vh4q7>v#|k~I^xBr4dwG~-oNx$vS{)m8$R;*Vrx7`I#X< zHiKKqLd@akOX=eGRu?%%z~L3YXvvGd{3;bKyTaEh!orwX#p6Txg)Pr5C>BrR=AVd6 zKY;UdlKzim8WPe8#x?2#1y97Q)SrSQHaO#*1!N!0RCZM4|JsLYanHnHY3R4EVf666 zX^)qGL9Ef1`emS?;A^cXHa5DLV00~${EWB>Z_J7ZXQ9a*J^4mYW3zA7)}o|dLm9HlxXf#yL=H zN>YN)$+!13cjK=!_NK88L8x4$#}bXVH{t@$(B?Kv;;VCJ!&WzK6Zp9fYEc+QDJ|vZ zsscaF`FFK3YDS&&^W1PS<1ZCeBzFn9lXY%h?(D!)dp{`ze6>+QXxa4zy0g;gsx)UuOgASsX(WtFOyfVPrfOHQPbq^HYg zAiQPOO5OWkH){UW+BK5@R@(W^<8GJvNesFd^frhJm+?~E>t{U%P$h8Hm`xlgb)*2e zW*N~K%jAv196YRqZmV7wX$t*baTFC;-f>CHP;yi_7>kiJL*F7P<_cu6VCmLuK4tsu zeZ0HT`|}zj+}4{Yp;Di{kR#;X?_7z&f>9MJ@eU#XbyTIK6o2LSa&m9@*w*sYeNt{I zka?Ldl>p0^6|58dt@*|&=6p-bG z1(JD7m9)|>Ns;$MLVG2)V$9B0{9-?RGgSqZ?s**t)_n?H-+#4N zLql;CG*hX6PE)`#SC*T#I>pg~ymbr$X16EBq zu>WG;Y6mth{DGtd=xliuG|8*zzhwOfsie6Q5PTZ3LD{?4C;R%p$|l8b@Kp_q^YwaO z5h$L*E+?o+ZE$Zb|Lv!g8rH^z+s+BK49ZV4zwYNQCHUO`##7|pTh6~&K+!~7h8m@> znH06>VKC`A$uloYg=mJx)ivT34}Ra044=NM@W@RC_6W;;3|1T3EC$s>ODe_>fN7SVeah@^V-<;T)k;M(I& zA=`y2N2-f$eY*^)jQnY?|KBO)0-@vu#aFYm4~P5DQ}m+t8cF42J3HyWU>l`_yGiGr z-BA3i`^xEKq<1te{P$HMh!NMPnTnjaopBOJtnj)?V@j~|W)BUo&XKur*f46ZH=$e-7$7h-7Ulk-E^m~tp%1%35Zb@}` z1c$j##jjTBxSakis5`n^EQ3S&`3I&7Zw271R`}23e5ZJ5l~ZcBr;UZgkBkH4#nWyq zX_Lh9#X?}E9SlM^)~yo$E0i+$dm#7)Sw%)!MI@Pps|SpH3He^23r)9Op1dmiH2uRf z?j9-Z!m8vfEaSb(3#Qug-Yg(rae^RUC8#!Sv(cjk`m%!9;xYbxBW2Ywk!O6x8^f>H z!^CxPn*&>DR6|fnnkIhHQ-%ILhYj2h;H>$QOCM<+XdO**?D9J{6;I6J51T#egT}v? z^7uJ=)qtH%(BtH3O~@VZSZ&VlD@g4p?TFsxN{giRzb#jzm%he;GQQFfhF76%$x@!d zFaEp2k{kZ{MT;k6&Jh_2-qi!1@<{$@?+bV-C6w^8BiE;1#jsE7|CMMYQ|i>4C^9PM zhaK?KzVd7r*PK`2PgUjen1HG^kz$%C!Q$d}N!w0nbk;yDbq!qJ`x`{KLZl*R zad6g_{knHn%3V$&FoAc;rkH-lg~tmQ78|wHS@^RM-rTb`*GIpD9og@;rmEvD^f&qW z10FTUncELDB)KtKL>Y>dT9L_UPt<3?sCn8XyRG+=yyK1Fx^FqAf9J_V$FAb{7lU6m z_=M~~k+n)_&4&O~X2N3rf5x7Mv+rf)p;3RmDQtXvD)^J!V9`s3(7<9IC_^byIzjDa zK`A%!hSj@CQCmEdN@WPQWyxp!&M4#hKHY@#`QI`t!|E8ujtSoX;2Tx!K)~<3q0=rb zq6|3xndWpa?aP+ZhHh2Ha1xQB)VHmt@0D2VgIDN85)0pz&9PDUf{MKpf&`f1t5R7M zNUNhjP$MbZwwd6`mPq9VzaZ0t@8LivLwKVseSxzV{W@zTTpNZo3_fzd0Z!K?eEbQ7? z&Qq-b?UMJRgjo2^Qr-e}=c70k81 z(CrB>`H#e+m7s8fVwq`Wf~!@qUWFr$@ZUalOm*Yle)+ovKW1>L3)PNAE47)`Zad}c zUwX=pRmte{S5-`bpGp;#na$D*%9S=FXJius<4zL@ryu^5VdrDlg<7Hg;J8))I39*j&lSl_+ph0s=?$x{-LT-M zp{wwfda;fRXKfN$IBWWZH1i+_z_&b>VJUKhaeRUBX8Yz7#z)mOGJ>+|(Ea2%{~tha zl>*W#R)KO9z+>rBTWa*ru;;y}({o?%)uC9RCWL?i?lDEF<1LZ&Ji-15tYU7iYVzl) z+S5UzZ(&fRmhWXfa!^UMD)o+o++qWZN3VV~y{#u90gyFsqJi+Znm z#Cr@H;&{_I@*tNkWVBZ=GiqSt5XR-w$+B&7CY3NhKWnXsDtx>rsc~mGuj_@-O{S2; zAC39TODj*n$u4$x63J{B)iZ}8WV1|nne5e;UmFNg-YEZMKgwaRBctD%(y4KlbiP5Q zmh_`{>W6+;c?E~~HT+B~B}+M`C~G>EGMndba|wv$KPccb$;QaC!b|thY25mD$ib5nGHw6PKNN!8_@&L`ym_>ZaYC|%PNKa*$N-pH${BN!ms$0NQ)S! zYuz9H6kzlwU2d5tTVb|RJGr#Pv825uBezvX=Gxs}nEj=j28m480)uZwH3-s^h!=?y6u@H5+6KVKV{Epr(W*R0gwi1bj(D*m*?6uo{uS!KbkkaVYA9L|sCI=yrA z>SIMmJF2@&qPb_64UE$fHm7Ws`dP{ArFM!`7SNw@OJ?z64t8{=7+WN&@`faMJv<9`c@ z8GXJVE#5D(Iu{j1P>bcgR+RbzA$GcA>3y|wr@vCLg|3l7bwkuTn2t@sqNwZ6)pSU^ zUCxg6{_06z1uD^^?2+4M1Dz6a^*Yb9z9cfH2mL|q#9>gRLs5EzCp6bcr%f&8gY2P*>xG)3 zly3bLH0_5NLi9Oq&n!JA-R_b#VRWfND~QLIOfTZEt}Aw3?Yw2Qvdi8PsI)XZm&&JI z(O;4KDl2G3Nxykp#34Q-BrV=}0m~q+|87vX@fH5seky(=*X`(tWrf6*<4Hv_uwB19UD6csMXDP<1hnGXdaFCV@m zsP@?R@{5IQRHV4Zw&QZ7**%8sY*e0x&TTcD8!36E=kEz+mIWcORmGV;GNgL+LE?+M%+p*nRj&7;8kkc z4IJA2*6aya9J5{CTu)89iL^bUCCQm4oFI~SY4W&X(GREPGdetbC~Ry#t=<#0G01gi z5JNkYoG4!1z@hM584V64;NL;SK^@sV@erOQB#bR6c^TR3JHC=M_Wh5Ogv44E58-!=30u&9XfOaTl{umlWH>;XXeV|%DEl0qyxK7(q9G%mTc@v7 zWr*DbVDGNETdFuCdf$oE@z(tPx95uZYDY2k~u8I8~%3erWej6Ai$e8cc!qN zqUhR~=n+=mg(ZF4f6ukwBAqUyoSI{%nz+t0d}~{!sO#4PQiqDa}I3 zw6FJt0S0+8<@-O#%Eeyb8_KvK+_ zxLvkbx3#u)S4@RVr(`Qy?}@I>a>}EM>DpR%31n}OUYJ_qM143je=J*ns;+E4%_YyNINf#zv>3wU@TE7$ycJGgf zQ|1iAtDJmqPC*?PW*^csf!MGhRD5#ph*h*I?W%GnO%N>Wsb++TrkvV~ZG{ZV@donS z^0>_-ouib~N(ifp6~1(LvEox7?ZSK`REFL-pJhzbrj}-Fr|{@Ut!9T=8ou1u9;O%B zN;gmxaMRdSt<}AgXD2W}94{TqCswZ{+sb>l5N9_jYy*L^YHhtq^+6sB*YEYn>b29S zTLdFh@ArkQRO?J0x{nwSD3#9djk&(-+nSqb1=kIJk@4v0<1VNWr?Ez)Y`)r*ghrwS9gt2#+GwM%uRUyx?cnI>kO^x~XR0}eVx zmBffsq|TjFb!d3on`DyfR7uv0?G^PU{mD1wuOC^8axD+72|Z0boFUSGlPl8IYG>Cci zV^d;em94Z=@{7DeVrIf^bAmD8j@5Yi?K&E?91fouQa7{J29hIj6iar+=aQq}B=f3Q zNuHVsedR;u47fdqvR3ZbF$BF8q-*#4yD^V=8)W+)n`&fnyfx7ytKG1sB+mLFg=7? zkEI4~av_M8Pho#&_5y$YlwOMHr`6`^vs}meO{71(wrfv zJjJ?Alfw})9@OB^yF>dih=h2FxMCl#K4_X|PoN^0{me&KtFj9TgSHH5zTWI2xjAZQ z>R&UaPe)(8MS(|iMoEvJZw9$QPy|0>Unn263}<{(x8JjUZ^FLJKHGO;-J2t8R`p0j zjZ97IHO?8OotzL&jom%ZqyU5~cKiZr`F+xC2AAA%x`p}o(CgSXW;Ze>us3pzD~V)7 zHg<}3&T8x8UgWjos972waX$-rDxoFXF-FB>HOj85&@96cc3QiK^ZGrck%+>Zd@t>+ zxIUe=RJCgQ%QR;_6yC{_7=5g?e=ba~IB$37WJI5f`BM_I56yS2lqYk~W1noG@MS0S zBj6E@k$o+u9j4XOS0ZOgeiobf<{jjvO_7Uh_E`Bj{HI=pnKDmhh*lzO^%bqos+gT` zF*R7KkWtTJNscZov(361_>#bP^j(8d&jO!!3eHqQc9#};f0_q zlgCXhScC-MCLGGd1xH9{+?{>{vg{if zbp5FHq@t4w6sWD$d#Cz@tHBB}=i+W9(+&W8k_nEldi%-2oc~4^mT+sK*z%`bm!dp76XmLde zcj+3z9V20Jl@nE)qVz5L&Tj6LKCx?Ix?Z;Paaxx+&6IFy3YW@E?pOKrYOTi9`_Hej zoT9@!T(_GVoKOhQd8i;Qa>yb-Z=;&8Y#^M(N#@C1&Se*QS0*BvCERwGA+!0J>T7yb zi(+Evlh7z-XS?8{`U>HQ6pNMd68?6m{+hMr_zAm^66byIiOr(9Q?7YC7JF!Q2iOA6 zF-ocagrlg%GR2gM3wI%u>V~dcaE-TmYK2<=?9<1JP zWg!*7UsOl*$kE?+Hp9~hug5pq@0#MNw7emEjC#Mzjn1QEekASYqC$*Bt_~RP3BTy%O<;&WQLD6IgY{xj z)FC-J{MH-uHY`>~!U2dXX|v0XQ*39A8>HT}kI)ASQ8M1hyY!|iC$Di9UqIQ?%s^@{ zk;$qQ-3fIRe-&|cwcy1gtJHn(i(FEExP>0BNppO$q`o_kIyv=y{4OxQ{`g-;x&LJp z6yWdc>;08{e0}}=0|JABLqbAB!y}`jqGMuX~3=<>Tug5F8p21&K>aP0!9NgqBuR)xzuQ8<5DR<|ZVvv9TUe2ZPnrfbYhv0zWl1 zH82>gwzjsqy0WYUT9B8Oo|+UN6BQm7+}qbbI5a#mIx;dm*x%dT+1}EOY(T(ks>(}> z@^Ug#lN00P;}eon($cfCb93|Zb91sXQWIk%f_z+UOztUMxgf~P!*f>fyp)Wh%I!Pq zYRZao(pRruQ@CUB+&w5Rv$&=a)zZ=kE6GlX@N;)@cK44;uV|gzz&%8Ll!=*znTei` z>JTB$?)viV#K=HjZ*O^dMHRfh3Du0OtH@7<1p9cnd3gDUM8?F$LL!2FJzQN}z5K)D zGxCee%1WUHxmlT6xkY6)bzsUhMH!F)S4$&ZeN!8E|8NN42=#uUCC0c>>L5UXcPVn7 z>p^f~$L!m8i|9g6q2d&`B~qe6^=nnUcJURc&JILToTstexzqfTnlA$5bIWVt@Y*V+ z<1{SdCIQJ%SOc;iRsqdPONb5+2?+_0j*U-DN=!^n&#Pz}m|y?!ac_HdVSE7H-rCZF zYH4k4LBfiX0<08xX$kR&X<0bASZQ!qCa2d)*)A!lDNC_$MC^7YxDno26t)Nm_to6p z+I|ilSe)(5_rAqJ&u^YKc8E(-SxZyt62r8UG-LKU6%+lT*VX)sr*Gq*SXA4Hs4mV<3;?V^Q@{7Nyv0jNc;vEc-rz1VDbc5;-bNU_ zsk5i2wI(ad$JN!{+uPMt_SkY!NCfoN;fwd|z5F~(FD%j?tzH{>oU?M*BEsHrSS@YXmSS>(JxL5ttvj>GJ;a9md7?q%kcWHq|YP2v+W zroM4GP-uQ;Mh>*9rXn-QM1&TPkb?4K)+$trCbUJ;E3K@qxqEzh^TXcG+Tu`SmY@Cw zb{4i1Y*g>6eWdn8UGFv!vvClnhj1ihU6&|gkyqtKN4Vm$A6t@qSO2NeT)5--O#^jq z*qJKfmyo>jN@$XY%qz<6s9LBOPjx)Gx?6NsQDJrxBr-BQz)_iPtva)?dFtK!_iJ;# zurz-&#q)fUcE#9d)Xc1m)vjI;;9)&XcjCHZR90?+=iO7pTW{XHo*inf$qCb^FvI5+ z4y|`a%&x6(V&UV=g>VKRH}UZ{V1#(9y6!p4bh8Mtv|YVUkw`50z)X`D9U3R#nFEKV zTVe@hkTH=?7Ns>{aTg=dlS{AWCZ}HQU}3F~z%!!*yu8-gLw$nfbB5reNCDBwGfY^W1qspVBTPzWcRqUX$2E5r+YBy!KFRo|x|c!A zFJDv}Bs8>S1o#x} z=jD`Dl$BN0)NZRN-MAur^4MV-Dso~10upjE{Po!tJW6V!eO$(iinnCME()C>U7p-O z$}7ajMuoS#hl7W+K3Ey=7YtoFB6vkc>f$-R(MOH?pDHWf zz9l7o-zU;d2>XP4idD5r)J3nj>D8sxPq-hZI@@}N#}|(sXCNaaV?D2U&&cG7h0ROn zmv+|AEFRrcl9QIYz{klgzp#MlO3TZ!o?>bB%$HsW~S%3ps1;5YVYai=jR^;C^*R1&EdI) z(Ovn=5)$GU1<#!2JA0b%(lvP*DOnY5J;R5((#*JchdJ2j>FB6%Cu*|dBmCX0?kPP8 zYr Oi4mSgolMgOiJ*HfKBGUk)DR~b*YO297J_0Y2st|lPW5*gAD{kTuNFB-5!Q_ zZEn5ZA!lJ{W<1Wt#m>PaEFz|4;_%Yi%-TITA|fItIXyi+Gb1q~$RF5dCu<|kJ8HLN zuga^a+_-X4;57G{^H;9PN}XfcZLMuVw>I}JyqRh#Nl!}2%+1M2j0%Z{4(#9`qGe)b zVLL5wg7h;v-%TAOV)$HvEm1qOm?8|&YZ6+Xo&qO5V5;~1}~ z^sRe3%A)MV(^YYSkh*syuu$9To11UXL$U%qkQ z^2M_!PaZ$GEhBjNEqZj1kO&{2nE2C3MNS2JY+~ju79sgzmXmx!7cN~8Ie$@A%fQOT z%h%7_!zVmGIj6j?zNxFXwLB-MFh3 z$cc*x2?4`ENKAF~DA@|4a`-bbDFqGvaUQ`-l9J+5GP1HaES;S!9vVM$cCvL2NleeL zMz;4)Ob(-)>+5R^62gN6y$orCyte3GAt`0#WS>VxdwT{2`?x;S6g@JTl~&U;G0|0B zUfHUJ{#{jNrJJ%BPjj6< zd+PWxs#R3)N9yCeg6AcrWv(eGDXFR{-_&$=(39X1(r|KrVIP!MR8fm)8(Wy4o0}XS zXfMyoDaecoa=a+^1O|CI+uJ?2ws@qaD6gU{e3*&`tE-QI zQ%Y4`Q`gYYz|hFZP+!mZxtq-cb!`h*kCzrMkgVJSXkLE(@Z8eM^1}R7Ut4Q^s?!tC znB>?1_n?%*N@Po2NohrHOmu|PeZvRB1asq4Z?-lz-|yiNlT%R99zAxPjf4BF;Kj>V zuUwYAdi|=Tx}%GwzLMlMBPXxG&>;VSfZ(uTPX~*~=B5gq46H{;=*2Y6?Cc$!UfKhw z&#j+Yy!3GK2@HcI#CV%N4oFK33XKo6@~IeGURz%t8|bYGxyQ$J$tk`VQCE-d??m@C z6&Kglqy-0fTU)q0$)DulJazgMC->>oX9WfLg+(u2l9H8IRKBgHtEZ=z2BYT%;&waz(4W9&O7vy9E zN`}NF#)bI@L?xvpC&a`6*E1fRh9_7f8cuu`+2&%IypQucM1=+i0FY+7 z_JK(?$o%BeuJN(nRwN9XSB7Xrz+u%D@KW zM-b)3Wi>VB(EQxuzJ0<^{mm1z(^EykUDyrSVQ)kiB}7?fQ1Xzhtg7ZlL~%w=0kpid zqNcp8ytKF&3cAcnPftru1~-fR0)R3%D+7!W5f<$24!*R{JOnY=j2s&68yxBDMAg9B zfy0ZeN5J8*stUkgRG6Qco}QANm=G5gm04Baiid-XwKCe>IW#{v+Fl25p8QBcgFnzU zvAnWdY)xqH4xvHw7v;+z*E-tA6 zR9*@#EX>VFiHiyk@N##yHFM4xm>3!z=^q*!=#MI{&nwNLX6y8(dN<(hrL(8(SZ+K5y=P z#=`md_B}2MH5EA-3HI7HAu$0lB`pQ+bW=laP-Jo;ytbwm(KXPEMt7roy3y#)&d!d` zj*gDjHUP01)!YDXeE?KtX;E%kVq8>MpdYwj`glf^G(b~e<0Jhe!^6V^1B3m2JzYRZ z$cFm5>WYez!h-zVtgPg?{Fb?W{6mx^pWp55Z!B+N?d;)UW8v*@;F3`tromr-H9fxa z;p3;ht@WMPsOr+Jf|~Zurtbc(zQLiP!9h%~{k^?C-924h=*}*HtG&IYskxz{5nf$g z0WHW(0oSJBfS{m|Xh?WsZCOB6$IJ-e8XX!sxOaASw6!(?KsA*WWkrPrSy@SGXdntA zGBQ$9LR>=Z^$*zl*hKhPxY%#7X%8Qv`Zzs4J3Bu)^acz2uXkXe2i*x;*CP8!y1V-O0ZT_a*l7p^MnWZp zMcJ@VWF%zdl)xFm!6POn!JV1?_z~}Y&)SFCt^N0lW7A{PlVf9zeS15v=4a<7+7L~x z<8KybrhB`_Cq^blhll$528Mf$%|NV;#8vSC&_Sm_jY!Yex?Z z%uaT7*W{Pg^iK_qjg5{D0;az1*0wfq?Z$)|$|}nmwh8eG35Yf~UXM<^-P)XOtnVM0 zZwMbD#wEaBnVy;-othe(YN&txZf<^ZY<{4*qp@{%Zfa_HXnJ~lba-^Af1r0@XmAL# zVS4-edV0`6M>{&&+EC3c&0yJ(O^v8#R9kyzXK&x&`0(iD)a*!KLrKpxkWXh1VCe4d z>2B}r0F97HB%;2teR_Us{`EU_8=|l3(2?p}T;D0PeQ- zuFmex`qKQ8^2XLCSXOL$X%#d#zqC9vB&K0}VyJ(3aspr&8yg$y?gybEuuFTp#-`_{ zn-D{z=)PgFOoPC>_4H$Q89)Qn6YMZBG!Rc`Cm5pxyaLMyma7dY6-IMg+dBKYz#2_f zx<=NPrlu8D)u1}jV8spq0ZjtZMAjhcQEe^FrI`g4wIFs7os^P|=;~_g=<6RE866)R z9UGsR92)_@2Rd8ZheyWSa$&>6{r$s(!x&qFF}8z4VBPxrfPn-Z11zBPgTY%c1_>B& zKut}^h9;m+z}g_|JJ6|t*)=7(dF9pl(FRdSz&8yV;36TjvgK!8R`QY9$*5Nu@|fq zW`6;t0jdL(8sKRI2CuoPv8k~hSQ%g>D=UhND=V7veNvz$m#)|O7Nn&@t@X$Ja-z_`P}hK-K)HntDJzuhS zF|-T@t%p^^s%xuI9j(A@VI+w}z$+`u%d0AY?J6m)gu^N;vJxTgaVS({BeJcfy&VLb zdeJ};`+(l|_YMrUA%O<=_8?ojL2L|`pOK!|+}+;OH!yr~bb!boI6Huxx&bzfH3GWa z-qqd$EH+pO1OicChXB#byozMs@)BrcSuHr-D{8A7n_!4$Aj)=dGS}DDRs!1ye6^yo zg0zgJ)Ql((myA{v2qiW*fq-0l8vqVYORzp*H~00mp#US;&aL2pM>Qad6LOn?P(VDi zA7JhUuz^6q19;ura{#InD06Fb3z%O+<3TjFvL+Xrs1;tBT~^lsgV)ty4%FO?a7@9u)bfQMIys6zrL2vgbxv<4%?9&qOO0mZ}M!FV}f88Gv%uBs@4 z=I7+6=H(>j`<&u?nOBliUR4QXoE{Zd0kG7;Ypa24mYvB{3s_k+W^H=_ zHjHZoq}kerY(mu5l$Dhf73O58rzXTEM8qW-wq_d?78aD{=Vc})L?qTAYHBf2@#6gK zjO2v)$jHc$h!6)ie=l!mbEl}BvX)}sgqrHgDnOML<-h?2PAGV)1_AYYB&rovml+ii z8Jk|19+gp2QdUu3Ra;Zn0E`QeBND{pfh>V*)`9|xj5$~lU=J6U=H=!lr^Q9b1xH2s zMJD?bxGKbDLepbnqa#C8K!d6>jN6)%m6{wI6%iB~92n|q=k4R=sOOSaSWy>Yn^^-b z0UmK-5pabI^7HcY3koq$#pSRDcv(h>x4W~mM}Vh8Kx%dls4Rq*fKWNG8dVi#AWZ;+ z!E3+BrMW5z}Lseuf)#1#Xl|u5+3d2?3)I*H?*KIH#Z|K zH9jFaEW{6Zl@abH&i3{mE+IMDg;0OboPrE+Hv-p&v=nfCNsLcSPDx8k&q&XPW<>@2 zy1jgG>#m`-nTC;1d~#xHYI0geR!(*fxb9_Tfg6885wxJFs0dmFoc!X#!u;Ia?5wo3 zl=#^2P(LppYi}QexW}Zk;C>Y1@9*pum0OgJiTS6bCC4W~VxvO*y!|}g0-aQ~^zSR* z4$MwX&x(!9NJ&b;;E0Qfj*5(k2oD3P6-Z2MTykoFnYqP7wF@GOckXM-h~D;&g~Y@` zAdu*o7@&tSu^`croB}Q{AgrI7ng-^O1`;5tAQb~HkD&oU?rz>zcF&$gG3Ol$cJuXm z_{29cJtHF}Eh!->Ha0puA|yB@z|+Om)ydWJx|F)~K0{DG$e+Z?ivBr@7V^VUu2i#+_-Zr_%_A_Be?IxIL0Gz$s>IicXt(9p2(a18#C;NXzZ zaL`9&baXTXq=_QK!-M_2UG1%&S>Ao_0!@-~F><%Lrr{6V{>13$s0eV=4GZ-5^YQg@ zakO)MVf$S97&ZRf)wnbWxHp9d1qS%~`T2s>in}X7>+Iy{_|n?crwk+|uHyrHv*d7M-+LTu49&0O{%B=HlXL z|I+S-y|tBvsmY^<4~X7dJ;27YlP!9RnpfGj9Gg_9LgHMDBs?laITn zo13SrhnJg&hnt(Lv!mIQC#EKk%}uoR9eo0QLEOXH*~!Mn!o<}0!2?|#5V%mkt)_BQ z@rI&`n#Kb&lY8p-4Ie$!S37@+9)iYiMYyYpAON zE;TjPI~v*s28Jd^2F8YlhI)GHcXe;vxJQ5=L;Q)BPx!96rL(h*gY7e0>*u!5ZES39 ztgNimR8>{gG^NxHG69D*wpNyuKs-u_1ntIN=izKH)O9|mXZ*=cu`#PirlTc zTI$M*@>gXPuJSPx;+#@ey?N)Bw4$oynRC}}DJm!_-?}9)D=U3jT3S*{QcO}xN?KY< zM*hYvE}lPs zQCvnr<&K)N%3XC8Mfq#elH#IbQkNycf3XXK0s{PeXU?2Hb@CL?8G&;`=LGl#1o`;| zh0mYk;k_tvLHL}&B{?Y$3i@+bKtNJLRP2(lklUw z;es$f-#LLZmrfTGMB`J@Gao%6ab4~@nC@i>z$qqv>HMWj=Pw*Se3YJ%^~6bDK|x+l z76wMfBj8N{G<3(y9zXJBGtWMN}vJ7XS-^-a zoSfu~uSuCtoa8=p4j|2#5#> z@%Og3mS>k<%`Yv13-Q9MXh>X2A|xguAt^m4zaS$f0umGK|q4+qJiA@3&`$Uv0cv#s+s?YAP~9oX>lkYpYAM z^K)a}!21C{`~b$a9iE(;$nP~U9p{vg1Xk*V{bIV|F69QJ61MF{VRz?Cad?Dc+ ztSsC-;78!X_(dddDBm@4boB&=B_J#!E~~hrwh_4K z2To{R9kR2xcX)PTYM{NPZ}#>2J`UE04UlB*ZEtR07(@@bca-F*%dR0ML-PpmyCotIG!`&|&5*;2I6`z!t zkdjk|XzL&91y_vLy0YA)$ndD>P+u=k2Lo+Wdnc!tFYG`ZH!?LlIjz1Ul6v8Oe7wJx zoB4f}i>y=|SucDe-ArxGu1TuhGxnxmt{UckYAZVV>@cbA%GvAS8$%r4v6pGM(lDTj zW+ACq0xFs}ujzS1AaQy1=%JZ+xKzwsoNNqqhgtc=WfV0GpW1u)2M2-Ba#VaWcrQQ( z#Lw0Cq1w&c_jNUHU6VY2=EQOCi_&sRx)1MbKlk!&a+-Y3|{=81Ryz{ZD#mZDThfOlw0Hi%b(kG)~{ zwa&h6bBM@v!;#cAeB|gC;_swF%y7;_yp|w-j$GDauNSoTQkk$V?1& zvU}9K ze10UeNpKcw1(%2r=fm>M!UD>ze_5}R-Y_t+tfQwa$U+`f?3?G!wY)S~*vV~d$Wd*j z?NT_Bvqoqf5R+4bYH!T8Ke10q%lC-gx3Yg`VR3nVcYkBDxg-PPV|tm1fPD(q@t*Fq zsLV}0r;zx>C|_qMzpU zOML7E3-JI%jeaph>lnAXx%Mrq#HM*{N_rYX!Xv!Ge4Jc-Lc$<>AV}8W;~H0kNPWzP zy^a$1VRoyxdn@LWSX^0FkeQK{o12vy7w%<#jd{K388;&%&y{`h`Tt10M+z;^W~7-Yyal5|f&fn-=BkWMOJ*>Ez`f;Op%V$w#y{LSx(vzgYRUC8=IaDPI=%JPyUd|v2Wg%*|9qsQh~Hg-RMTtOEEIokUsS9MJ+ER1(nWdN5l zrLelOy?^@c9ya#gyQR7L#aAnvSVZKMhp=7^fE!v{6NpKc0%zLW!OGUvKQbXbJ2xji zF3{T+lkUxbkLYVYD4qQe067LPiaB za704`yrQb6p%sm8ZGhF*w}RVrdq@8g4mH~ufzwO`6V-WTy&uS#PJol(qU4p!;^zg< z^75YH6TBdC^{N;@8yzVj0X{C)&g$aqpS$nrK3sTFq zl_j~UanUg#(U1(%DM5+l=$Y3muitEa#>KCmhODc>A)#hq<={NQ zapL5ebC)D8U%4VJr>Lr?B6pr0B=`wvInGJQ0-LD&$lS`x0=OooPt2a0o0%BgzpHXf z@dkL?8|Pu7k83M$R##V+Kwxj_&HDEH_d6SJm*=O(hWbD(sCRI5d=vzKdWR;aCkEOZ z5U9ad@3B7bZf))3lTuP1!rPu72ASCA)~>;+rFXk$_(de-RPGs=KDB-U+$Ipfc6G9U zW^!NY^0`xNtQ_0|7cXB^ynWBm%m!2I;R(py^`*^I6Qc*ZTB@=l9F$ngQ!{Tq;t>%O z;(p%U-rC%F`)V2lzq+~yMklAICWd=EKw!G5bM)1F90DQ`sU)MMrlqB!rlwfYs-%RZ^o`rvM&{2QoL#|)z}s}PH8<2!xgjep14N~+t^e=< zEJ)vA98wQ=kWI1$exsSOj`HQRj3nk7Ds#9P%Rw;Giz9cWK=ZN zn8OtpkAQ@Nj-Kfl;}L3dkPRoHIDG5`@453AMEFh|CEl4C9A3hrVi%N@Q@A1b7?9c1 zXSR;OL3Rg(@fmF`pBNkH-oJle_W^j5z*8%0+ZPVNfd-zxi?fr1t(Cdy!v{K=sy8l+ za5GWhZh^D;-Dg6IBgc-jv$L@PhlS!0z<~W}@BP-s`o`8SHUTO1(PO|-VFI~%5Oc>N zAfsbG!NYr+i-neOYofEcZD@^<;k3A-<^y9>Gc$8D;Ilpf7a7ZE&uw4WJ2<{{`VBcB zpurFTWMlc*P+JYWRqG7=uP0i}Muv5!YW zb>tY^39ge|9LJB*(@|59lao_WQc+V=QIZ`ZCL$sxqh?^|J%3q2P21qnWAmpLfGjO7 zt)4x%v9ot{0z+f&1{ebJ00IHW;Y)DAI6w)UYp0hEcGeb89_neTDoBe9pW$Mmry&Dx zNZ8w6f4jP}vhwEb+Q#^LVkFK{PCL_~zo@t@)0;$S_-aDDCTzZE5U0H@PGAqy8ZgX!4!Xw`D+oT6jS_d zpg-XL{ppDVG~a~sXC3@rr$3i{C(!Q)``YYl(GN^NU^;*y0k0DW{eV|L_x{g3|1i#v z2!8DLJ01Cf=U)Nmrw+e={0_wLE9K8S;hz!4FT7t7fal-N^^e7mY5S#%U%CDvIKLy) zZ+-t3&tDtifbXw0{jn8>?RPkT!tv$t@AUtV;`yU7ego)_8varF?@aQKn*OEoUjY53 z*8d-D^sg4^KP#dyc>aq}Nq#wh|J6I;Z^`NMudTt$gCkD@oWXyqkAJ-JWk5f2|5|YH z3W(_7@cYMy_&c1xg(HP2I>7kLi@($1KiBqGI0r)d4hH7s7eGJD@1Gm-&$+)7&)4z) zpNQof$ZrBT5XQIl`L1fYLg{m0DUlkT8Brv8BI`-cC@*S|pe^G?C|aQL4$`PbF{wb{Zz66Fu+ zcaniW7yTjcKU(oa!t1BeKmz(pj`JY(ib*bl_jZC$0bddY`Nc1Z#~(TVQ4qhw2RiCR`nE(6p7vX*x;>Xs1 zW7t1xdeGrP<^Ki9A9V1Q>kn%GcJZ%penj+FJNkkDuQL5fyD!uGZG&Hg_1miNO8&*d z`F@SQANRYJ`%^gozRI6;=ifKb|G#_wKV#ZLv3Oq0nR7!Vio=ED=GtuAo2|(;)y=lO z*|u-?r8CK&Q21%o_piR|f# zElkZ+9?_NnA|jF`Vp;=5Fc}cly}=kV!xXd=i&!aXWf^6?lkCI358&(%;M{9@HEf)3 z6iV}KGiKoDYXM^# zj%VEUnn9V=83t>Jm}P|a>8*^I_WJ(uP_q}fGTw*)P}`W{nIUnZ6D(|lRv}Nn)Voq4 zPf}rUVW+Y8ri?T0=VwevliZVBwd(Y;j|u996^qlxyGRy}7j0_TF~!QK)*DlLcCe^S zjT^0uc6MTkegszESi;RwrC~~dJ>rf3p3oTa_`9*S*mQLY-Y0IfGB0VzLgecSD<;B> z$UcYYi~8uCRG~4)DN`MjMlQ>H7PqFM<=)gDG?xl!DB-or=Cguj;^IIi=hLL5Bv#K) zpv=B3A5p%CK;Y)3wpZQ!q?HJ1&OI*46D-UOhHY3HG0WRA^3+FFR<5n|D4p97xFs!G z$=Qm~_+QWs_jV?d+=h`X>FGql4&L1lW`}z2v-b7KK!lw*gq0a9o;0H!NlCIjg_39+ z|8r=`B**F{J@=w0Njg3QizOSp;-x8FUmVsXuX7S3=}&(CJWNV`P6f{Nn{=p*fS0{n zi*hOuQyUkOe-s$2ExYXD0nka=2YrfUz-7KDGs#o4QK($I4TEhNxhM82v$l*}__QcF zJ*LKG+vokZ*Y^5D-v~yU?WJ}yNd#91elvObJ4dWWHN;_5V|#^kuz@CNA!=e_|K75x z>QS}6CyXgfpdyssHzWY5STlPwZu#lSZ`3_p(4B~>*UrdnSo{HxX-s3S+(P1v=vAL` zl&LQvWASEia1u8fYIB#eBZ~n?O`2q-k_g89^`i~SIo=w{f1TQnRgmL5#BMmMJ7M}T z?}W)fgL9MD;foT&+#FQ)wj!_U^ujv$$j9^=L!LqW<83a%L+GKVqJG^=v>R4b**fIg z+V3)b_0T|GSivd?WOa>ej6H28At%@?w0Ej8HGcV4x)V!Nqlg;uv!k)< zxPeJ;R(C0gnV>x7HB9yi2s4r z6GC|&-${wjSvzUgq>aIOtI#yBF9e>?rdivk*d{n4qq_!6R00v}TXn?8@vm0##Yy)- z>+aQx^cxuuB4d;tX*J%>MwY213F$E;#LLw(sLfVcvl$s}7tXn%)Z}AY^84&@1!!7W>40_Lqa`Q3KOhUeREd}HK75m=5DLUY?_YTJlh@Rk z`!cG>;L$>$m+Q4^V5nWaxE*^W*N&EvvjTM1Uf_c;q)8})+)|EhxCw)$yWewI1sLs| zBHpa+&F}~mclV4bx7Q?t)uT>pKKPKRs=5T%_yNrqc56}7@r`(4Q^T;JQj|&V0wYpC z;)~P^Oy_>>IRq_I&F9gRzBr+d&c=5vG|4-Pv3uoGS5itn5~5t%Qs#PF4JhUA&&J*HMcs$ql z`{A?MwAT?ii2dOEI)vT&n2ye<_v&~eD%^fkB?x*x z;d{djPx|mbfgB_E7n#r?HPU81u^_Uo8ndW~0;UpDz8% zx;|y*k%(@dqgFh_!Rp_pJIZ54n|<#+Qhte;P!4QZpQw{gE36AQ^3GSiQW)#7qOf2a zT+UXTwt@%5!%2c%hYUP7zJDQ*=T?2cl-<3?0`e zXpSnd#5Bm$xw*=~c0@7r7}PyFod7Fbyv-UQk2;oWM|DZ!hEIFY=8md@N2PJHz7rqy zRgj^ccRO83NOfH?i*~Naf&xX)`E?=?ULJT{JVq_T=$5*m!BYyD*8)eP12N5)`P7z8 ztEVX+3;<8K=(+IyHU1}ADz*o19mkKoJsuO8NKC5uqb<}FxBMyiaX&KUFP0tU>fT$O zd%Hxb(dnFJ+`ZSfCfNC`U-hwgY=Xl8qkT6<<9!-qhXLz7J=l^D%9w@mrrevM$BQ0? zGki5W?ltfuIDUdt09f=;FLIMMe)YyK67UQ`tzeOsWJ35URt-S(n4#7KSWRHN(HS!2 zT2f08aD-A-_7MY(o}CpGaK@VDz8HgdSTv=WGH&=<`Z{JE+ErJH-D&;9`Ol@A zZ{J8}teT1Lz})iC@^xZXo*B-znDm6*ph(Xh@`f3C-AuIWDt<7aYvS4S90u}3x%@Dx zyAm~(^Yt92~L))DMo zZ++K4YA;p2G)8POb?Gx+Yb^^eUJf?O$3o-RH53b=NF5-L9cle?8_QEXrFTe<5BE)FigAo&u z*Q_@k_c}k`(eMvdeWG%F0D^j=OOqUcT2kvfB<;=RDo3)?a=gu%!E=xksVxj?*pz=^ zHJa^X)ZM~Fuy4^W*1;CjqM@lkS0)cum77ITqZhteDtjz#B97KHBo*Y&}yBbkZ&$t)$_(IPf zp0k-!efGPtpgn4Du7#7g4o*5+gY?8+d|Y&7O|A{T*t(-W!S=1N`{I*46ql)|?p)*k zNtBOf=z%Y5>_THR_dzUrHi;)H)woJ)nY@vt_jP2e323?Mysc(9&-f}T(qiKHIW!h( z?}VQfhn1-Ht>(OaLVmJO!>vqdEGg2%q?o15UywkH@5WOvm@ z?WmaXb^JCfk-_goIKLr4i?U8}7FM2s>!Iqz&Wn;?q?ZXkv>QbiqnBrzs+Q8?LEf01 z7=fB9ge|=eH+1skfS96sJS+volycBs)bGof=jP6IRMsuDpzV+~~HQ12ui_JLwBUyvvIyHmAUDjm3d^YfH zzqt5qlYT~6t+Kb8A;a>4w9~*#_)FG*IK=j%|5Tid_%9vI}I!pz86U#(P|Lj?4hfaZ0)( zBNRL4=Kd;T6RJ(Ord!EUe>08?Z&K|y>*@+gPFo~o@+oigHbytn#jC>Kp?c%nH(s^X zzdML|trN7r<;XP{xOwu#%wGWonuwsXSA{;ws$p+g(i}C>-hH_*7PAbgd&XZhVk&O(Hu=6J7;W64Jb8xo-uH7HQNhG+>Kg&O*P=;3RsQ|H89=c^yj^}|(U&4v5$SWy;b5wUw!lpV<-`_|24PhXLf9!jY^ zCfpD3{6|N!cIb||{4Z~5m&e-INwe>I_t8gpG7m!p!)D%jW97;M& zlqlGF9yHGe%Tmg999Iloh-Tzq#}3Fn4Jf-u%Q`BAychgo6)`O9ft^nG*Jo0R zx{`gj(ck?+X2u=H>FgBR-md6sE!9ci*<5q%XYA<<) z;A}Qm4-7dNUb;6Rre=`fI>{?tD}yWN9AWcT6Q&+|N%u}w(1m?^Ksfe)KqSLkK{f-s zdgx1^T81kdEm!j}S?5Y{F@m~!FX1uh67@^o%kAcg?~YjFuqt;cH3jW>w-DJ&-KJ4b zcKzMP6S#0bXw}ZSF#6u9$V-n4VJwCG_1+GRn@!%tK<@vC6V} zet0RI3mfJGXPyjYi0WoZdCwfWpX3(1A@v#04Ho4I!P9au}RvhSG>Dl?Cv zfCM@0w;k9&USocJaI(~xcoJL)TBYGXq|Z_sRkncok*Ha>BHWb@T8Oa^V)jy!BElY8 z@tb86^F^5)sBm*GQzTnR;iR(0>3u8WU6?R5KH8;I=A$U48>Glgfs6rj)~%hoV~TZ0 zc|CSYO}3~SP#t)S$?%76dS+c+T)jx&Om5B5B=tp-?sp$5T)tA>?L$%`jSUCJ!Zrxo z2`FO1%LgS(sw$GA+_!O=;ja`3qg|0Kro!aW1CDucO)!UffN3+s<@f+d$H*#-0qN{wQ0&LUMXP^n%Em<`vEHPpEe{)!K>b<4r8N_12`0r;DB(7{y-v z^l7r|*%%nNVDF;!B;G(O{8IT%LWjgd8+vK;{pe|2_E~rrF)ATtf}0s!?sB=4s>%AS z^FZ7N(4^ZYs!CkU__h&ga(3o&^pPls&c0hU0n{j74q0ZX4a)l{Kn@$Fi^Go!e^&a5 zYZw*QArHq+)WCE4t9G4(4KB6{6Iuzqg@A6A2jC@2gH~U?7k+)}Jl`q3cJL(JB|FRE zxr*yhJcg6UnTckwu>5ibUed{)+KWfYoVA-$KfSA+fWdF^N05u3?b<*e>SEp^T{;uM z*VZ^Hq@$H1;?V1~9KkLPrca^aoCwxYy4W=Ku<@{FLlcT$Lp1ktlXdAmm9k56JR zj?YeJtPqRSK1w@f%L(zo*vxXfen-Td=(DXE4h5A$-(SDEwDH96z}zm-+`Fsjkmw2s zPJnx2n;JvXF{f-Er=X>q;Pz&29>l)}< z@=)BaEQ|@WXof@I(^HlDT2Z|X#-LN+gu?E~P_etpyF;Q3ht}gA9rM%nP^^v_ZFXA; zB6(`_9lcOUDbWRyNvrqJy|58HogKOE6b$2=4K`bYU*bklK9~(mj%%Q{Nf0ZYh9~n1 z1kDLI)-C~Nw-4I$Uww^?)1D|@+@DK+_tT8^l22(K_Y(Ha>mvyifS%_T(MvIV6*5HW z)KXJ;EMvJsIw5JU8N+W|4qt7jpxkC}&DkQ5?6?cbmW+VdGh0+~YWcKRUTIMQ76tPQ zl-AI_2a0KeR356-l^C;HjzxAqY*fhl3gPuGiY%A}=^f{>3u>)2DRk5ODPDQ@!cBOq z1!$-1-Vf!!Nso?Vw^6$98-x2Uc7CK$-nb;Nm$-9T4Ss7ee-qv?Y01{;UFc%+e2fD0v#y0?BC&JJld&atvrQwy(`0k~ zg}n1?O7=+CqC%xLNPsK_;a{XsE4TI7{1gmcb3>b-o7WNEj2vU0bA8dqQQvR~^|s;> zmGAG+V(pE`@0U1|GN6MrrfBEu5XPwR*@aM1OR0#ssE-IHez*QfGTLWxoAF^N}D6Ro;of-ZenE*23JaYC^hoMBnYqI0-DOgq*!0K zAzLGd2A-ocn^^^V2^ezvvy|&7u02~XcUs0 z-@zCpAe%}-=XQV`7oog4Xq`|zip{TGxzDlVaP3Fazzs**RghndM2{3iD+~%muRSo$&Fl1Qv{j>(UNc*<^%2oa^Q1^aA^)D zA{uvmZxt_Nb&}=sD~87|F(Z@!hFn(eDV=)9HSYoVXqkuJEX8}&46P+Mp1$kmIUH4L z7}9!gEf-Aeup?iA^qR24y{g!N6A14;2vf(ToZJA4w|2Q=luoCw~=^`HUI^VUWymyhb1c#8oalm zep)?TYh&aFlN(fN4TpbELJS__yL$W?J%M1H;5`FvEbo}9f(E&DS{tJrpKl!JAn&|c zUStm?cIcXf3$Eadf8`aLh*$&nwewqKvd@_=*l*^flxJup)58{#8r*zrIkCx=yEng4 z#>*;V1i#vmN2vVB?D4~HMG5*|w{IxrHn^#s=v^QA^}MqXjtoFoV;hB0zrn6|Z4Gx( zo~pT7FCxSqJ_6ed|2#M+Z2DxIC$PD#9fZo6_xNLQN}b-ObtoeylHay0JQzCkNBRI> zK%u`*li}Sv;iPR-dns9g_3L{cpJv&QNS~MPLOQH$(TNtYAELm3U^fB?(q}oL9**={ zUW=`J8XR*luhkSXY|6G9j>r|54P8+p52j>F4nYpNNM$f}CEE2N5{uKt!(HV*Rz^Fa;&shf)cfG=(QRmBylA-qQQ=CY^%N{mFoIJIS%3 zs!fJ-TnyhT&m>f&QpRHkiG&mEklMdT>f*J1r#lFRkktk>ssHTTDwt;D=xfmfY-&KM ziUgBmU}R5K>WaF6MHGM;eQE@K#I$U~j+!O$o{MOWs zn4Hog*L_Qm4iRyNZi}TuFT_zvbdAqu6ibLN`RL5@b*aTe49d(IyP~!rRfP;dsw=VP0BbUV^F(xH^Q4=0 z^qgoQh?_U9WC#NpD%n%UQE+pTy+9Z4t~Y{#vf!i(hif3JhG*r(Ql;s5afH|9a|OXH zQ&^a~aRL<&5Icq=TO0$zXiY4G?%NkB*mwl{Q4+-wR9FC2If!lO(h4=&Vnhrx<0k0M zjad^)QeM$+-Pm{YPadmY;>heg*X>cd42Xo3cn9b2*~U?wr!qMm)ys5lhKW10?OE;m z;Pd9#myyG7{TYFaT=XJXP~==Rs=H&~FFcOlx;xlkl<*00SJhRT{>gxk^A&70DhKrO z2xAHE07Bb4_t~WmL!n5A6>ZQCq03kMfzNfct@bp`TYus5`&27kElTpuD7$h>GKo1e zx!{LXPR+9t<9WUqbIrrY2Z=gn>;q3C57ju^`2v)x4mCd|IyRrHgQ2B~jG7o6gD6fL%(y;Mwx1 zy=E;_0%kL%fPCdP;sV^9=mFT<5Vi=#B8KufBFJe(XZm6L+0)G2heP~S8QN-rB6d?c_*j( z{IHRScBphQE%mu7m}%bm%nC5S9WbSGr@>J)OrFcV@u-$WsrPUG3*{eErT!_m*$^?} z;N7M=&0@aL(%!+2Lq8=G4ujd4piAXdKr`>LVxt`PHIIh1MWF=bWoegf^fpiCnrCJ% zEoj3rhdt+NP{D|=i%{)Up&=1VfYL}zc{LdZuEE}AKdhCXZ0~A1B@DztWr(-r9ER_7 z!RG-dU1CDqA%HHm$o;;iBHo$52FX@_vru;KHQNe0!>v8=(V6+!aB}LHGA!}Gw|(AJ z3zQ-=>44wyB24G5KQBwC&c~=xG#&_)bwDkNXS~-gQJ=Xd6Yh|fOvyi))i^@N#&ss# zUgw|I*gg;RhDnv%t~&o3ydtPLQhxCL2!uaSdau^ECX~y-(F|l)QS)=TwQBwj=>Gk1(i*<(xyN-vq^c9^-uk)9dJT6|GZR#vwr z+!$cF-&E@mi5dy2eY*!G2^cp%H>>54kxAeHKD=^_NJP3mn!Q_fCgof6AFnL>o{ z)yLd}rL{X^c7_<+$$nrRio_RWkbNKyr{|hOf!Q#zs5DS_2Y=eN!k3YY%qg-@vW=>I z(4De2{$i5CZzbzmpoDoiw7Gs@Wq+fy5mPd{#L#+jVg&~?T}=9#1~Hb@lH~$*{E&rT zwG8C3&~Ldv(t03W;Amtf-pJoM(uL#U~ z2Qs`0&X7ZF-Ia46#TC?FrDfbr+Px;%(Vs{Fj5zgBRFLGcwgq<+#$tIUXL%)#DWPpC z^!AouEW2^xX#KK%gOOHcYHSjvTzg9_wU5>n(YZ-?5utvCgjF;BaTgHEfo^fR0h;Rr5oNxPTKm3{f@ z$&|cFtgbHnQK+FhxXzrYY!y%6uF-ZbPBBy*JAOPVNojg3De}g1 zYKp{m=4Grj#w3ZE)<2bd@dGm-Kna)|*Op0KNS=iH_Md^vTV!Erv+xi9vd62Eb8oBS zUAcbY#oZmfwiDS@_{_oIo9*OMzKSHeB2+!O9~lhJTSR&89!M88Q+zH)(=kW{G))oC2vS z9ZD909=^yI(QB0PYYo4G`oR!giRSo6$&!QG($G>@Uu(s5egwH18foll19QKC0_eE8ehobs{E9#Wc@TS zy|3HCH--UA-?#2XyayZif?4B;gPbc1F&sZ(z8(*O$kIm47Wh4wmC({P@y?<#e8zJv z${2<1yDw4h?AliBCthTooe&^4(?7!{DT;!b?J|Fv@9IQOcbC?`J|+r1T-s=jt&xwB zK;k5EOOWsX1r5?aj!^DR&?mlSkqV&W@v?6XYz%Y%a;-uKeYb+mylBT&`;@gD6?I7a zjrYR}j-GNfn8_Ow^92PIw`2FIk+vJh7I&00IcFK;#w7Q2;??|N0VD~-Jf!+s6B-8e z!!@^+orHK#3$Q>k(RcbN-@{{wp;{!l470@sMJVkQ*~MEArtWC6OB(ksM{{48ugz;D zIgZ{4JVnE!MnknM5=6~A1wfaV^TUU)mV4M_rqHQHxs$Y9A>;&cfh2ILM>dt9y|BOf*k085s3<+~0&$$SM>eJU zbd)-yVZ>d5!HT)J(9U1?+?!?829}Pgb8E=vxyiK4;R0nq+If=ouE>zA53K(b{xax3 z;lw2|A|l34ePf}p;BR(h(-*d($!XDMuU_CHc4SU(bayVBR^O)Tlqi^ymC`dnc+RG^bANf_pyi=05 z{&4wlb)8PN^`fog(mh7m&mCX*$2{TotD-KQZx}n2Co5w3Q5JYVY^0W?OS^c6@@#1ZJ@1<9bNjGy2$=V^NUHsDQX-A*acKq=d5W+I#Q~be>GQ zoch+ppeN=oFx#qiTU&OF%0|4>h^3MEP8lRj5YE!jwkbNM`QCtQ@*}BQ5_WEc*plF3 zVfLU)%p3Q};anp+;$>qz7bo9~2tB7Yl)+;>>MMpM_eK!ZcOyi^fiY`15pV~LJD@1p z?dhUD0Q1$wl+a2)^i*FAa?lk=lYU<25*Y=6v5g*Dqh-vZ(;QMZ1#HtaH&VLo$Da2_ftJ;(GJqX8+!rOmRHB^jE>0M>8Ryo3tH!Qlut1o`E&5_% zvb%ij-GmO9Touetk$Aoy-ggSd2F?s-9wi^U_sA-k9~c{zPuP`xbdoD0a#GWgEx}Qd zbB}I(LJ$~DOFy|nviJ;DQ3{wocWHT$uW9M9C)p1{SgEk0FqH9fJ7<1KOh|qo;SxJy2}13Rz2eIU+K#Fa5glZT zBgte18t8n}1H1PtUdVpqld2HJYZkceGCL;y31kcKYFgKzcT}hl^sb3>^=TW0!MymX zYTfhgeg}`Pt^U#JU1%%Du#?=>8whn3CS-_$MkL!ypiPl~wAZV~n$DFA{IbNu%Kj1% z$Pz#bZ;KzkB@aKYcpv;P2aO>X$p4=W%R3+sU3D|;Nb}?$Bgs)`^%tp{;o>*PwTl_!g)Yh zJ{hlZv;I)0mu~Vg{ndcJ(O#RUTqXgU9<3U$8vQ&6FtJ{}vi;Ep;;;QevAw8$ zU3H1ks>IC2#3N(>I+|spF%f@Pc{quvl9vZ@K1}F-elojd9tf)6r1==!{VuA_Ps1D= z#KV^FpXH^u>fP-oNmt=qm5O@sHzyFqRY(6yP2@bg@i6TmRQagX)>!@3^Zx^O_^=4B~vQq3YdqGg62CVc_@LAou zWDdX3IY)&Tg@-3kCZPQ@$8S~(EEdAHy>YchcDL1X^s}q$kq_gk<#agiGTlMG?NB+a zo6idJ(zGl1(n6cf1>E#59Vol0wpF1a+&@B1P5Exyat=yQgz^f3w2j^Wg}{leYDc`x zPH*i>wjfUzhcnIaA&;F2;8}Xv%!lYk143kkJOZ^0lJiABGEe?Ywo(5lw~tB%Oz>|} zSY?|rAJGI+oD1Oo`jemFsB%smWfL_CdIQD;3jF&Qwzu5VrDiY0cCe(j*T7<5Qqd#g zEKUp2wet&G1Z7zua3u<6rIn4OklFh9i$Y<nwh;1bKRG-npVxZF|D7B0_(R9(tI9cT5NEe$aQ?R4H0#$)(l38};TNCyhDwB$ zg8hPtXYkWm;#3bpuH!M{k@-rd-#(1wwLt3h+pl*67wc1hLd(SkOBDA=KsDt|xtB(0 zSkclT{ApygxN2S3*r}0!sVHD!L4s}Ztp~vd4j9<(?Oy&5ipR>1hS$Y^h`_LI zDRlVSLr^wYxq%As7cz%HuT1#6u`>nSZg-z6wVH0yW~i0()Kim&dCX#`^{$W~&+^$< zS3NE2r@1mFF~cGW$IhpFV^Nrhy(HVefF_bZoLvie|Y1t)lNEsv8MGg*lwLtdKpLXvv0(4nsEnqNJriw zgZ=dHmjblXHsDf9?iR6A$`;t#qQB(i-4Z43REWb0YWh)s!+oI?+(*MDnLhGW@PF?< zQsex|Q|x~BM~|~e%0kmcU;?G!I#%)6qmhk0E-{(x$F5TUKv^?Rc9SefN-RC^BB4A~ zV>P*@Q$=DJ{5c}3pUK)GqRT0q6<3*RK1blE@(=OYC7z(e_%>owLo~gO`UGFv;}dI^ z2`CmLp?Jsc^h+EotAhvo*d=I4un#IUoU$h>lrGG$dcI}Pb)2KF>&qM=(*3>u%a_9| z3m-{xc|PJ|0%zqWI8;{f)lMh;Ak;2()&iooE8Ywogc&Pz?Qgt@#`-cendA=rum23= z57~$3)NeA|nJnHxFPi=SAwFwyXv-EnR?V{xoMK6(qH$?SY z66?d|OZYi7wEFNzEc>e$0}QB#;mkG#)U)}+Co5E4hd zni;NBoOQfg$m$+B>IW+Hg^F$L@1Jo$KcKjc{}PW&h46yQiyjEQ!d7b{{9(|$d2bB6 zSO1`p-mCqoCN|=fzW;o z6Ps$^iJsthjWMg^rDcIP`&TKz+MU5I+s0x&4o3(H(nkufTlhYCyQIF=4H}sMt4Lvv z6yx;87;2Mh)xbjQKqs%B6KsHYyIbLM|j;KaYYEX$ffpj#&_eW)g&LAC`s>H zRo#~G;AF|m;u5n;=YMVmwz~Sb+Bko*BmCQn|HvmtSqY#R=We`VMa9@rVElHJwAjJ3 zq()b!$t&hNrjQ>(0fkT#vM9ciW37Pe>s+BNa5?4LI@?E6rFwlQSE#>qHoCnHj_bqs zn|yD8wmp0^n2JIhV9~PTIAgfFELcC7Z6WlQp}+q5odJkHKlOjG=-|;;$fWxI4sGP@ zX_}*W^7wH!!9s4FVW!*Y9aU8TC2I}7lhI?SN&U0?I{wnO!_t}c$o-JZk;Gwz`n6<4 zcN#JHFDDO-%FufHp>bDV!k^?>OulmlYKMh%aa(ew-admyjJQu98UDm~TOz*{8CP=4 zjl_0pvkw*6cS=S0yoo#$j?Z-$O{B;P5XRS~iD`Lf&_4NKk#f*a5)C1hg49 zf}>`8+7r>V6}sNK64$EW0gCI7x>wF<|8AF)A{&?gb)Vthu9waeh3RipoPc)dTM&d1 zem0kUr`&$p+}D25h5QlmPxXoOuoF{{wqKHqeWB4_jV*UV-b0$ruH@Ed#-TSf#w5gY zWiR4;=12h)vkMpq_Xtw(hm9HAcT%mo;jDvRgC4P002DN<9>*LhG_}kEKX|Vt$P+}mj;j2^W z-=7&~CuEXyTai@P7A95WMBTn~NkuVU_X+Uf#^D0!KMO4f=l=!%`{Y7`C_|_9@X>P= zj;N4w?M?s3^FYnH(X4Ud)&g+RymHxOM$UnQS*W8Bac3<(B*sTFvaq-Wp!#%cRXsza zrM=w;Q?c?nA&)FUJdsgd-}mSWjRyjNAb}R=yaSrQVJjw!6D@sMgxUgY`~)yf85(<8 zrN3vpjb?TM7D%|~^z#!XOCKw?YW@=rXr=v(yE(ym;DVQUs0f;W_ECl|IgT4_uv>pI z2obeqCk<>kk6Q(7($%hPY8-|YRptE3HN6lP$Tx8%C+F|HygHc`{4v3|LE?9;NV~Yp ztEP1k;regoPmPtHtuyksx{liRb`_+)T1Z8`Gi?-98^O25KSRSQ>9~C$8DVyB?5TUG zd{g+l45^~($(6~bDpy8vE_Y_ErRAO0JG&}+O6t)f0^XQ+z<}76R&tnFt_+-Frs}Jk zkMJ*gh1EK*S~s%#Z}GIfG5s=@&P4CF!s0tQPkp1Tl2OS zqrV;jlq%A4!OMKAt@7`Nzd;KI8*??IZO0sNo!5*0v1-0N_TSjjSDgK#ww^4k6#q@B z4dHWkrM8MuvKo2s^eVOgWHW|T84oVH3=RtU}0!nio1v(agN;o6WhQ_fayNyXEHm}flM5#zNZ8S~`|;-vf1u;?Cjmmy?yF(y?RSDKJy zw;5~Ib#aG&(T=Y`kplliJBtOY_eVj{mnHFqj^>KAb%Fl|*_iyEbu=tG-BvK?nhTx$ zQRARn)FwTGYMIqP{=s|=t7kD<#}#xOHzCB>vR^;}VCUT^93Tcg#^Q!S6iY{tp#Ae_&Afg?LuQoK z;qu?NmA6aU(|~&C^Nb-yX9o4|F|9#~^vaE2zS+v3(2_b$<_*7W-+?ENEhKXqIPG)U zB9YGblo*j;oUC7~ILYFRst&JItN$H7 zcSk{I4&yZK-10)Ni3z&Cp`7*E+`e|z*|+f#Nm9k$f|hAT16_n^+L)kYxARv4nA#C} z5HI5Iu)p77=N7#g23r#vBrlz^lW6=yB(Q|?jbe75Xu~rNNoG?2gos<+!?v!P6{%jj zDe%5u*@(BHu=4dl-8}uZs>EfU#i{wp>S#`4!0RkoD1^!z1zP?k#?Z5vLUWF}zEbhj z_e;Xld=D8cMBcibY2Jv-r!yMCfRgY~|4Zux*=JQ7kAkKVjqoBIvs z9Q;Wz4XViXf3#2y2l)oNcgB+y%BEr)tiSP<{ypA%p8wsnAO)TLpT*TNmDUWE zHECSYqOIeVsZHViNBTc^du`5z#l9AKcOJaNbwPU;-T! z)6LjNzF>^M=i{LhRxAJ8xN)qU^Y`_gcMGe-8kug_h4dd>%b*M4IzId#YcYNF76GyR z40ku+2G{dsXx`6yRmz;(D?_CLVHDml9+~LjYpue4$$66D( zVsu@c4>dkM^<@ZT$HT_Yqc?JMc|`fZNBHtuEro6*xxdW_tOn1C8G`qIWb|5R5!y}o z$3OllDMCRCpdK=9eWZ=3>#kxATzqf8M^IX{Ar0XFOZ=CaL8m(2QOtc&jEyS%*0Ck< zCy$(VE7@ko>sz$pxPPw+68OK**5M2I!}+q;eLa+&K`Rw7hG5XMSVmP$R)EL5eJGaV zfkJSyhmqFlidwb!^wuHV2A=#vL;0H9U?{2Xn`rFS`E0P-iC9}oo(uoqy@&Ip`uHl# z-xD|e;GzoNe_;=_69r>uNQ$k0fdcK81@C_lEF3bMBR}|F1?G)dP@0==)G_cp11B;z zm26iT&j=&ne)HD+iz?>A{GPxQ_UQUkHEzu9nSJk{4fgBe(DV4zQ2{b0fw-bZF(#un z)Hfy)P9?qUA;%l}rH<(#U(- z68@%AL93&&c}?VR3z0bIY32T(v+1qW9*MkXylk#m*K7iq1XB>veW)=~i5U_Y&i#?4 zd$0hC*s$<{CJ_D5{*v4FPcU7}UN7vUB-#n5V>iyNN)-@_P>$nFBvl-DWciR8m;&5g zYv_?YyRN>tVSWlepkSmBPHr+;I}MSuz1lEdJx8?ssRdpcuXz)H`BT@b9-L?v#zI|d zAXpih_4|%0O)6z@#}-kfC4f5Km$wz?cl`GJ^};;ITZU9P)#pu9_Is5_oKzGmxVl)O zpAELI!DiZy0P5ILYwQPp<06@&We|qFg`U=*7-ePx?xE%?h$IHKX_8Yl@j^n zmC1g9>H06zKcZtl7@9e3KDlkK=uT%7q`{|5unRe)RB}_`_9igI?geb^=u|RCI z-4FQ`nB(_}9dt@`FKZ5lrI_RiY}+JumgECq2J|qDcR9KQ5KM>A-*(Nv!WW>XbPdVh zV=iE{z??CP$ZYuvsWR9FT7&)vi8X#7YcC~BGwwNxLrF6`nHg?*pJhu0j3MpsPY&Mgx6&7w>g!Ip zJI{4uWdzDcreOB`D_&3;Qc*54>J*sGW2}EEQdzz@B0ZWyW!JpOrbm~)-I{CtG0>i4 z)zj0hbu=+Tn594I&r=>eo+puW;iv6XjIr6=>|eA{V((=*uDnplRWk6z-Uh7kHy-|1 z!Bb0FNaIIo>mRVe+se|rv;l2%-?-K?S3mo8F8wU+(9$O%zya-K?ce#WAv%-oD=p>&p$=Q{P4Ay~^xxoER7DiN>8 z=W0qRQ?#UQe0l5O-LQy3b)5KiK-{C}jS(R)Z9ODA5Bwt$R_r>cKFceAd;+p zmP@~Fxcj~Y)c!?Nu0*C((F9^YWva$Ir`;zQI`bk@q~cU!e=j!*m?BS?Q7N4WFYyxI z0vOQsq}{AH575#+n2z9{JN87yGA2eVwDWdT{X7$GuM016%G^KrnTA1zW4dY^>yl!L}qkattj+Kkx$UO1MP%eO^g5@zRqlF6KF1k#9y7a`zn zV%nc^XXcxXmw~m!5JTqD^GfRGM~tv1`->lY;s|hi4SlKlRUDQqjZ+f9nPh?uriyYh*G96pKx%@Snr&?}P0%zLQl-+5O^~aL@ZfNBk+)wD&4UD7Wl}jah zET-ZV^xMHWt6^Wh(b>MUX7bRC!|?E$b7{`n^xsFa}y_d6w8hY#9}dX1J1dRku$=_|t;P zBmrLqBF2c-VF6R{K!_>JEvu}L7$+~49r99T5a-QZIyZbsg_r>Qpe+p<)- z5~Qz#hO3)-F7>Kp7%gkMo$*+uSqQdaob!j2c)AZ(Dv{Msj7+ZU9{YroOdO>rTE@Vr zZ0xlnYGriuj`faACdsL>+o7ZP<$W-hm3SePPRkE#4TnZ!mQtVNmhW$3oX~EUZ=t== z5KNz{t0yqPVwW2#-l&mGSMqLomOW&6pS)(!RH0)7p$MSb{{fHsr}wnT6Yd?+o<( z-&@tE(^5{}mnex63^5Z8gm<30^X58N>j(YA$HQmXj5n{+-?wjidMfZy^7E{B$0!*# zh}Nrc{Im&`%c%^X3&^Aq4%=i1(uNFCdXGx;B42(WTW;ei%jMj4I~zg&a*+|M#8u$s zp=zj+r{Wn-Sr5*dwtDIQCpQUP1yUZ_Cd=9ezrKngI`iI_IfUh$&oyfbv^Uw5rnEQd zGe_uL+X(4PM1vHQbK}>Y(+U|L1ora3m!u_iV}J9umg0@zAoo_50H@i<8Ej|&wq2c_ zca#ay7|k-2)b#P~A)zAWWOKSXS|7NMyC6n9Mo)R2h)59>EI@x(UBR1y9J7C-+jMY@ z*e2RcaIG~v0i)oZjPRJ6{1f!tpov>++!!AP31?P1-*|nfrd(I+u!%_W7tu{hO|ap- z9#}rSy{pLb={7vh^)^DC^6m7l(Q03?4QJiT2utXEh!_jhl2?KA_c1QC%XY z1E*T9?*&+giWu?teo#inG%~5bjw?{0jy_K87^uIrPV)X!u4D$*bH@jq3HoWv?NqQU zHuVg)azYPKN>S4Z{#g+OWpN6<-qQj!r`LF|pSL60rV?zX3>>hLV-v6xD zx0l#*Afat2yKg+OoLxu_>A zP-tnsVbo-*Iz_g5@-m@%>S4ZZ_99O1L1oUH#QGQ4Z_q(Dcc2E7I>OJ-gkItwdov!T z;uy%{l1#fB^bXoKRI#}tCTC$}B?zl!iy(Z793-6vgD9 zwXz{i{aofuNemyW+eT^6bXDWw4w4a0jUm&G;}^4@c2P!W<;9k;%w4soeJ|u{7`v8L zTtDY452ZOP`_0TljjY(;MTOrCFt489b3{SOAzZi=il;BQ}d?pU}~XgX)DDe z0<*-3tO7K1Kh^rAGFid=1=U{D+f%-mn#6dZPjk79xQ(XG zFZBi7A<(ZS{F!r?FjX1XJx#g~`Ep z#h#UD#PLzyN>x!waOiqbT?tXTvK|t&%Fe%JoT$jCd)%4;*ZOqau|es9vGY`sPB~pV z=NuOEXNlBgG*M9h3Xl~^gSrB)%} zc%g|z#4w3D$7h?xI4B;i;!))F0~Z?p-Ds?Igh|V6I3n!nhr==)ezI#=)8fN|sp4bH zV;^5>KNs0W4(PbHbt)U(_MUor@$B`Tu}@G9Qv65@pLbhwmF+qm&XS8B@8w<#RA1~g z?z6|SlNex`AY!`I(Vrfm;GdTj3vo93d=~l!O4E>L{+=+#rFd2H?2s9?xB4B?=*{`Y zoyOI0h53|RbW&SOQiM6VQCdpugxy4?PB$#^A}+BwHn%=>AR~H=e?|nJwNPMWV2@2? zEbnuCwS&V?V{YGQ#eD1az1G(kn3-Xi{!(*?0!?>)-g(|QwW3w-_fl(r?(KNtqpdJk zol2pi_nfjR`GN^E5$&ff}N7kkAJ6kpt3>d7l)N5lr^D&7Gt5a zk?3>Po7jdR&q+i!v-~+#bO{I6MTO4;`VSW2;dT_@zAUwgdgHKr;Y!(*v}$)lI7BZg zx!P1{xi)`JH>2)~$D<`E5sp%?sj+cBtR7CPKoSmhGpq5iX6xo2ET=nh&A*Gd`=EJU zoWu6`PJi=*Tg_}{# zeqVMF^13pePIXWDG(*GH17fGCC0KHV6h>^Us9xGg*W&a`8r=`)@3!3#6b_$NDs}Xv zT^HGX_}-AupCPC*c#&Xy)j{xqwgVN2I~FwYIJtg=c8xyDw7iPUbd0Lsksezm@RCc# zeoR3)ZnnH**eAluBcUA7UbSuV02*?w2XFiGvRt(=c;vX&br@3BhVekgt3a5a+-OK&s{l0d$FNd5>9;5J~H*7xa z4I(0A*ululyhq-)K)iL5{?b8)4qxv_B)-#m(R*)#FB$n^n)7rEw6=^m@ZfY?I2eawzC^73+%XV@GKQ{voJ!6wTKDv}KV|TQ!VhB8rc!$--d9 zHlC^3FM|qc^xmEIshs7fihDPgn1&U@)*;kro)q}KWLSIN^A~y^mDBH2gkQ~;ogu(D z|6YdYLq}F`x9TgYC3%F3W}sQfd1p#94ytKu{8Cc}b-mhTp*JqgVH;BIHx;BR>4TXx zcUAA3ED@IP(LUI!En2yzj+X;x%H>~yU7&-W*2iB6!cC#j@G24&jDN@y6!Vh2QMu2T zsvCX9q*Dy9%5bh6X~NOK?Bwg`&}eLXQz;U1kATFAkubcdQLnjo2k!m8yw_a!wI%H* zW>v)xCql)~i(8FYbNH)Nzj-hBc+-Y=Q60_w^%UWg)Q&S}uMxcp>#U^9xrT|Kp?|ZZ zFd;26O_}okvV>ES4qbSp&usY4(BYNiGRS}iN{)rXXD2Oe2 z7<7P*n6cBf4dRjTce38zq}q*sK`Rqcbm`Wo)5_BvS0*3B5RY*CAY9>ox8yC|+c7*1 zO(2^0k%wnEm;Gq+vHE38Gv=wVEOU}bHmt)qvU9D(Y8mn5ZCRpd>p6Vfh9hjn1+J!El6&edud!rj^e{tTXYu>^|Qy$`b#Uz ze_$%+J_z7?D<*8WSb4!zxymN9-k9bkeMYnIBOW&dj;!5IZn+ba^yb;xjF57v7~7#% ztq}c>PYC?1UDsruEa!C7Jjmlbz~+BUuOxl^#a)N3Aql5!La8SkY$8#Q%?Izqq^L4J z2ohxFJjSBy3{k~ZmAU=2VUbe@wnCl!yfZh$i+Jzh%kdGG>x^CvF1L3G@OIYY0^eK7 zZm(p@y@xrf?&;HD<*8)gFYw?Rt!viSCMy$uQa0sYd^Uzx7+or(6ixd$pV>~wl)hYJ zWK;Coghid|D_#uCM|?R?m*d~e>fBSH!n*Ov^{})UQcr$SS=eoKT$Wp>uB#&!DKq&9 ze)(~Cd(~cLsX2*rm~E9V&0PD;GKc=#w`Kv0o-bF;coC*;CW*Bqq^CAsbCu$V`QK3= z7Z&xo&~+mHLQ}JooitawWG0l_Lfq3=ynOXZ>;XaBsWjMH1aYi^L*w2o9>b?tLat*zd`j=e(B-pIhD zSj}9IzDlXcD({vxAB@$7RW(SeauBh+ki(@S11Y8HcsNs5@pZ>Y4KsBe>yI~tZz;6U z5nYvzNXh-wunm0?5e8>=yKQaE*(T%=8RM+Mwq9a+YSx1$ktPIfpUnn$WNe4#*evJV z9LSYuXB8`6~((7o_rq3o{6m;*Shcuhl*dxqw93R6=wWX zRtt7Qq$J$hi7Ub(V-#|??`pDlY1N{g{~s&J|FKe2T~$$04uzJLm6n#2loXc~7lV(I z(y}sWc|~PaO>JF$V@qoXysNh#F@zieso{yq$;qi{P-bT5<`1b#>S@Rme$rb z@CQnBb5mmjxLP}d>U9y->$B%;>l<4;FJHd{<;}~@wWYa9WM5}nb5m1G8@vZGG&(T_ zegtxAd}Oe%tEIlCyf{B6J1Z+Iub`w7*4)uEcyt|A1K^#RUtWK?kA{s;L`p_RN{o;F z`Q66y?Bw{=+{(@Y79j;aE61rbXU?2DevFZZoCpW~!|NB%p3KiqPgOK@4KJ*|djH|z z!`|ChJ6l_?_da9d5|WUT5))v5e)D{8bfCAlA2~L&@bu}^g_*Izo{pBr`uh61I#^9* zSz&HwYI1T)T6RHcRef`7M@L6nQ%!k6W)cLFlvCaR44s^nOX!>kKL;h+L}~CXX%U$_ zVWq>b@u(PCS?I}e-_LhdX2ymF1_XsfM90O0C$S54JB!ii14tmV4nw?d}N>Z2~WrxSld~d>Ki`{ z$!S~I#UUoAAS1&1us%C7JhO#K&U%LXGz0cju9K3iQBZD0?meFqvm%cZq0R7iSZ>%Y zmWrMwpHf&+jF)?iv~zq>MM}22KYshT`aaa{Yz_${Z$!B*{wTtGWIcLJ##N! zZm*0s=SA2lA4h8s)8b@3eO_K!K}wjHgM1_J@~aKG;)7#iD#jkM<%7>&zuQ`xnR|gw z#=N2kMNv}l1Reg{ z(aLx~7dLP3N1CjoR(t8tb@F4J0_P7w88-SP?v3-WR>zon<8sb%aMmEX_> zug!|^@eWDI&dZ4LePr{{)%AfU=bJ}L{R&aF{oN&QgzykdCKg(Ht}7l%fb-0!cm)In z1$a)-Vy|=*r6wdK#6<*$#6w3vQgKRa-nwI|e^vFen&wqabxmzu9W^Q5V{|mMbkxLX zi_ICqjz%iyPSTU%y&uX6%iKBd2c3A0fs2QW4GJdO?%R*}jJy&T#ZFVAZEmBJ(9%=j z9&A4yfQH>Ow06CP9wn62(vqf;EQ%*8B_{VEzIpyN6)T^lqOy|GWmOe9krOloSeQ7( zG|a5b^tANsd{XMhwyy3DMyeO3l{B@lYUr5QJhU=YlNRAUbDI0?`Ez_M_?w8Dyp*^w zA4_FUmh&DpFUi=r_=QBzi%ZF?YG2pW(NNRWyM52XScIFA5N-DWq|}#ti$a}zp|2SP z#l=KL&R>wYAa+h%R@2zh+UmZAg~bE=$IdqT3OrQ%lQUQ+&hg;&*A6dN6V&mX(OJaD zJ4C}LCnLloASENE6uYFVC@rh?z$?Jt%kjZoQ=^+Yni?AF>Q`^vv3cnD*ww?^FCf6j z?V*FSr5X&RnauG_3{r22@4JMc5||~y8pn+(!%ngn}?g5r(bYbcz9T7aDcCme{hhWw@+YL zL{xNS;A3NLO^wU)GBV;^)L3t~UaUS_nxC59z^36ieTI|sBqJpyBQrHAi-JQCXzcIh z?BwF8e-bW)?($mqxrA7`t(ckVg3dbql{xmaEmJ;6jz z$G~>#BqI^}hl9hzgZ=lfw_koHX5iowl8_P?myzM8A>vTBc+SCD;qmCk=>ct3 zIJ^3dD^h|Ss1cZ1vMAR%N`9wrTL?z`F<>i&Hn3&o7hJ=QMh6V)&g+@fjCndzi z#fJNP2Sh>=Q!+A=Vq+mOA>K~*9>HN=cMUDw{K8^m!UB9A-xQ+2!lyrTPD-4c4j=vS zVE6q21{M|;0W~W-E9+^&bK>$>RL-5|IwjWDJdBRrTHoGX(ctaRbb;U z$qKVIwYVWFY#tWo?GH&w$|$YKPmYTYd3c$V^`wyW#j`BrBxIxnIM{eZq|}V8>?gSR z1q6jfL?x83s$AeZ!N{iI78M&6o0J$C=;;+ zbiXyN>o@gp=o#JtV(%a5<7j!$#?{L^AUZiME5Ep+sk^VIy{V;Vu)hsfQC^yA&&Q>E zM}|+&*DoNatEZ-{y1FDcCBnnt91{g4EejhXIVlAdIVmYQ4Fd}Y_t~@jXU|`_ASEX! ztE{E14wT3RRoD28l+^63_^=>3;Dc1?tlkylphmf2m4dlvUBE$>^| zT3fq>_?lhhyI|-O5)hbBSP9IX_OZoR%mi~kc;khpM=x`#M;sT zyuG2eCNIoMUyPNWfsUEuI6KF2j+0zG+Ez3?xO-+c63ib2w3W@T!HZ!{_%p;}e;O*@NREoE^r-!SfgR6gZi0fT*k8ntI zNKA1*^U8o7}!@VQzlU;*N>oEmM-tb zl(?Aq^sG1!i~FY6Z#nsgMMXwLMTUh02l)GWc?LvAC1+&jmXu`0#TIom=jD_n`$1Y4 zHs9{P*?6%rU6T^-9afH9d^$BYzqGirzBoR&y4+V@ke`}TkR5FQ(9O%o+rz`d-NVb< z+t<(6+s7BIO)pRP$BvI|Z6DcLxdnxWK(aIAlZxtEo9k;~u)3q3r1*r`=$Pn; z*p#&N^wiX}LIVcE7h<1(bay}o(&)pA!u zU3~`}Ocog4z~nA0E-ox8%*)RQrfWueYD!8HfEE)K77_wLIeR7*mo@e@>&cK39{TN)c+uzFZ^MOjI4eqMHJT5?o+$3V*aw7Bf9aga>IL|+?hYi#Z8?rLjlAALtmMX=mD_+;zDY{M$g-`m|cG&nfW{iRFLYjZI9%#8tQ7nYzlHxQ=vVxYlOIX*zcbV zBPN!Y=STX67CsPCGZG*hhqnlb(J+bepN8Yz7Z0B!{P5YSsS(;e+|@TSHa$5uIXONu z(BISD)6?7A-O~k-wYCB)zYd17^2^Ihi}JHllYxi^`M8C*Z*NZwOwLTsFU-u04^IIn zV`OM>0D=S2+$8OUbe^F)$>hp6?4feseyMibdF5{e`b1OVq$D~aBvVYFo@{y?d$F8g0}+( zHZ|7O)z#Kil@;e@0G>sKg@%Tt^~|;AHBHYiJzHFu83wlgpH8-s|FnUV12lf}8G3!q&`)8IrSP-EFu-Tm<4$>E73*K~S%5>RMtY;+vB ztRo}Hp&xy1#5XJ&G21WW-C zwX?0MvAzZXsw%7Bz$GN3rXj}1!$iY8cmaNF6q5iC6C3T>M@l+Iig)89^Gi<#8oCAs zC*~Iho6B=c+GiJMmKJB`QJcx^^yDOfGdVGi`Wqb^9T^@P8W+6NLw6=joQvoe5 zEX>O-C@QV4X&!2c^~{=EUwpc_I6pf#K0ZA)23A>rA6R9r4UKguMOg{oCnO{$A;ZPO z!9>R;Ai&;7!^g$mef4?iDIOvA=Fs@u!u-NOMPvUk=woi6v9_Ue;l^>ww?)j+{CH??*Tj86_0CN#D;4$lFO%?u;K z6h;As20&e)hftn-Q$yc-EKF={y!|&jfHt2oUJcFctZa@|J%6|OW^ZQ>IW+-jFi``W zLB#{+rn=kU9b>CY3-cp`(=(GmgeFJF#-}C$o{90XaR6s{1O!S@>joe~ts8hpdndfR zx2taeIXpH!wY-2p)D~9OPduHRot>GP7#kfML-zId0S_C*6xy2G;Df6>>zg}!GvmF@ zT@&-uUC{cT*1<~mRgu9``i|Oo zLx%$R=ok_R#T1C~OpXr^P5`|+39wBr%uUbFPR_RaN$Pnr^FgVcP57akc2OPCAz~No}y$Hn6bd67ZOHFomd3|Fy z3NR@By+GuE`s!+`sjmk?s^*fcqH3^2^B^hdd98!}T|J2Y!4a@0pyFV&Ga$$`JBH}$ z1rWLl8pbD4D5j?BPM&CNh}H#N7n z_Vi>&m$cNBl)@THs`>%_z)sfRjamU6EzJ#JHCC2aHrJPy)wR@BrAH?OK|1?8I@){s z2ardBx$#lJlj+IXnc<%9kqJa)Nq0}jAQIU>1T^Br$S6wrd|B-%X$ETxg$IGsLSTsA zUX;FWYi_KE)l@;DrKLqBmF2L!n8NDX`o`8eU~Pby8v?ce_4IUgwl>yPl$V!R6crbg zRzhK2@TQuS`0Rkt=FSd4d7I=S6{UD;dwI0^cGd?$t z1gjkgG)kKcgH3V}#V!B~wWIa-A$q&Jz-n%4s)yB9R+IxfsUSbIG!+7?s%wLFw>Pym zx3&%p_JED12W+d&^)Rr@7nKy06y@jVRrmI`wL&vf0utL=8=G3-9o@bCM_r>9$S_cL z~4tU>(=pI1ywL|kNP6ys2P87N>S13B%4x3;v@H`G>Cm6YaZf{#w{YKM2U zwKX<^nHLmirDw#&M+Ap?`UgDrkM=maNzO_3JVJI^Kx_Z zbMp)G3k!=%N}$m4N+=MW;@qs{L`YO*APAIsnz*>DM%@TsO9qx>QetpOQXznwo12@S zkqn6g0c~Fo7k7JGA5$Tjs~VTCMHJ@b6sD);WB|_}5)&B_8XN+`La0}82#AZtC;6FJ z*xT9YUDnpqQ4%^M=LNi8NE`$LiI0m1=ppf6OF|-Wgfp{pfqj^lot>VR1VUPYKK^b_ zo@VAIw?ZkPB#~Z0!48i@Gk~|2l9rs55}yzk9vvct1GK$?hAlM1Ox>6`gwbJdAhhfwzo0V*VEOx zVRG?9$GfxMkkFv;Kz|Us^mKKywzReYp>TbJ8`pKTb#<@l=^I)&+~i~wP`YWXBXyFJ zjCg%p)Y|TWy}hmVy?f?&&F|hezGa|q0ABhAw~UO<%Nt(Z78|Tl?x& zt*amwrmP?cpronYhbrmHg zML8L1$qVO1MTCU}_yx}ji(ORKP`@N2DJ&u>%0aQaMt4y`{))2XMOlGkr^KYi#m)-} z2=MXpa&z+V@qBwE$H66`pkZX7p(uh1cZ&T z2q?+0ameVInHbpEa7QQ5$>|sw7@24($bf%|hetq6N={BjMnOSNNlin?$jr=gjESCs zo|2M=n1CKzLSwk=)7Eg;3N8UIF$o?KB`FaZF)jfyE(Y5En=+uZ;}cU;;^PyOv%xN$ zlbxBCm{#5~IK8sEwz;{!`SQ&H+QGZmAaXcAv%Isjv%C9d|L_0}6YcFjCO$|yP~bF% zHKF5U;Sv)APxs@yot;;2_tDVM(9sSL4?li9{B($k1N=O!k017SHdn@0&|w-xEltRR z)cmH&C-W=oPv;jVkdsruyzGXz)>SIXh@abRYYOYw_}k4T0VCMPAwg8V~J zKv00|y_<@n5{W7lbo(l6EU;NuoiqG+_Y$;fb$S42|kf~=~h&UH0u z*(=(&9{L1?#--(e4Iw|jw5F+ZXmW0O>($P)NyO0P^cWHWq6xsTs%-=wXH!!{V@qQt zDvMrLUXqm%6CM;2?CBZj%c&~m;pVJibm!_V7fTK8>k=op`IyNliC)f3cGXmnh-j$k zd4wi6&rg&EXt95OF_pJq%4nZb)80MuWO1;yuBKz@~- zcZ`gzeIiqGiYtJ*PzLr?uw4}c-Jg|}o|Xa$3-Aw)jERej4DbPafP;y;^!c;gg321= z7wkN7DT6G9?w=nNNL>Le7WbROiLcRj*dghDsaiz_JO_gy}PM04I zVyuxZ@QhT-`V+Uv9-^TWeAJuq1=c=uF<7USyvwF`cHe9+&CNc2OTZ>&>KmPunO{d1?d4%(qI*SNTvSv{N=8~-M1YH(iG__09}^#Iycqm4e^@cXAwVKJ^~EYY zMuucB^4Ux389pdf$_rA|*wXzB9os)SE!4`?GdeLY+|OE>ms3Rgf*=R+OeCAtxv*%3 zIESY4VmW7sE|RkJg)uRu45&s;JzH8L>1r73oto(3#L z-0i;lHh4*>dq8w-LRN;a<`oO=Lw-LM9}dCc(Yx5~x7@F?qje~IjtNVm#m!rGd?X-1 zTbX*xctJ%)@v^apxBH#T!l&smhB5;m8_Dx?o}&LejKC0gNysayXq$TZX?J;`wKm7+ z+(tHt2HG3lFmdz`i;Rg+$}B8R(4OI5mN8(p35>|7gE!VRw3hhFvEgQ4!IukKrP$4? zJ7KCzH~Wg3gZCoP;Z`vf@WDwC9Gf0%%Z@AC7qSkGi%Tf%+eSZ_uF7rMV?K9T$Jn~H zZ)AL87)(cxlaic{g_W6!iRHMUlDQuw8;C|@OLKjBUUKL|RZePhppnQvBI5OU_^((# zb`Q!O{!GrmK#n#Lqlf{E1{sJ)re1B->h2*y4${Pn3kNvZhadJfpKjpLpXB5clu*8A zblc#HoZ@v$8Ts_B*Ocl-Nq*QWb`BLF@}U%&I%C%_lT0q-$((Obc}ja{8h)fKgE2vl@ndTxGZ7!HGiTWX3+tC|rr z&$nN{8%DXmwa`Lf2Upg&_YRIuuk7N}o#5eSBmcZSx$q93{v^MMnB+xyu+5{^3-_7R zoc!mcWTZs7+30DgsX;`P928O_JZy}^_nV6&T}^c`aElHw{JXn*5aUa)4l%LN_qSG- zU+iHK5aN8=e)fFlBL)WA?(5fkhiHd;uQoTgwl>$6pMYrR%)}@@2^9k?I|n<+?XsN! zsY5WdoRXUQ6-99_CUO!ACeHJU8hS=|9{^Lv#o5u`+R_4;I_Bme5e*EZYgbidM9#1> z&@nI{V`n?Y%s@*`Nk#(p!M&ZM0p=H%Ux43(!NJAF#lgnG!N&abW@CN(0N}#M`uKkL zGd3Y9DG|=+mrIk#f#Ip8tz9&%i;AjRH;nIq6y4pscP%V|*<^2PbBRYK>^mZzpuB4Gsq_0Gt*a>=4B$m#>Asw;RM!!_&Fhd?$aDhRD>A2 z+nYP@KV#wG048rN&Cbj}d-(|qpNNEvf{KojiHU)RoP?N!f|ikyjvRM)c^o?0B2 zgy@B9I@k0JO)aeLA2~Wbc5wxErl*ISlbxm6tsA;J*RJcEm|Hz`@dQcuFK~dF9N-7C zjxLT4))q$E3gDIoLTqe88V-JOSw%%z2_Y^vI#OKpgS`WEToNjJ)W~FnxY#&&grt;! zx8x)!D}jQJN}FObm2X!N9=8!U5xu zQqa&dvz<82%?pg(vx5A*+-FX*voZnWj*^0ck_s4VtjACDo;@$EprWa3U~=c)13(oI zATZ$03{X(y_*#yR0U%TX`O%*hcR(u?N(VdZ2lvd)Om6Al(AB=Gu69}Jl7gJ9%*Bh+ zsB-b546yCx6%;QiDJx$F|EtJR0lph3SFWgQXkOLQzIOeFzM+wc>0OKaRzPMR9m((i zT9Nvv{NGXFNR+;mA3^+Z`qwW13*KMtw2krO|R{A+-Iy^Eh3{mS*9&E;3FgHw`{ zlD~f8%h{tIP}L+r#Id>YOI^w4mKG3$L>2Hw{I|e@t|cTSE;It?K;p|Ne+bVn;e2iM z_4KzceyAn+4a`?a&EIGAbK?BVRDTBN%fT-OKbpe7w3Cwhm6j+ffr7dsCHa*)Uja${ zi2dSMCH8Aw0L}KZ@?)JNR(+q@m#@Ft$FH4~l0pTIzm(>m(Es*mpp#!<`Q_oyv3;BR z53PRe;#+S&HUjoBs2DPK(x9ca<*4<)YxQTZ|4}&K`G;x%CLty9Z)M`oLP6F44(H!Y^r+s^0AId*Km03$ z{$87(0R29qp8@#&s=qhfzrXg=%>RAee`@?gf&cF*AR_}jg@4MgP~hiukp`Px6ZrQl z75`hOe!-a^Ife4>zU{vMt>J&sFBtyk6!~@n^?7vZNXh?A6#6#i4k*u9xc+`H z-{|pmRy{BMS`W^!>^5=UaRo;4e4)U4VaK24DL7 z%ME`Q&R=(-|3?4&_h;~pU8oSnZ$;%%a*QfpN%@C5{AHy-DG$=$@+ZIS=l9Y~-*6sb z{qf*C{O>5f&j$4WwdT=C-&%d0>bFbMlC3}FbN;pKzx_<>@8LmZtt2JE14!T(crN^q z2mSA%l==-kUowOsoBCrp!u31p+5ZI0mY?!(M;K5^Mo_>*G2pS7Zz;pCpD1jo^Qep{ zC=%kJ3hGP~Nb~*@=AXp&W&Ys3x#e576a@m+Ickif@(VQI4^bE{T=-t?TXk?&9H9I< zt1k%u71j5FfBJ&T`8I(`)i;05Bp)F`P4o+hpP;mTD?dT|b(}w8`r#Xx+rM)6OQIb` zW>n2D@4wRe`+!G3AccDB^DmU26ZEJ9)T!^oeY<`%r!QxJ-sJnyUl{zaH~9?=-%kJa zj=#4A4<@#Qr-r_iql529|AF3rzl$%!eHriT_doRU8@+yq{?jDBo%+`~{h@*Wbfupm z`=Rv@+*l%{O^qZ%kFw}M2gm;n+Wa;r z{tqVj&yasF1^yrA(?&{oUd)>VS0xPBhO;r*wkOv~C%Y!w#;M7+J=wOWPPUCF+xBGF z_x_CU`U!jOz4lr+yuAK@F~(%LkXRWBW7RRwElUn>t6QQ1W@X(h%mu8BocI7`f+t~3 zwx~9lKUi=a0|MT0q&_!ktDInYKRR$GE_|DYj-HBF%s2=MFSV z_UlCR6dMBW`z0mc$Mcq>J8r5j<%ys)80G6Yc&bf; zo#C$dn2g)%Ge0-vM`AuQ29A%(9 zz4HZ5XmYTVUUjRAI8YF0qfjH?f7aEEp^poy9%rD24ybyu-V65J7m+^GX&!%Nm4w zRzRrkt3E5AGgWqF1)Hw3B^`*$rHmeTI=YJm-M<=F9$$$fxOP+2HK$;j^~#uTH9^)# z<9U{5(3Y<`a31f^h?2xLc7@ILh4!=&h}>R4xu?!GoT4*SSYCHtueDHO$B+uYMFLZ9 zfTeKfzY%na0C79na3M==XvSyaOvm=|4#%&0r-~hwPh+HB_Zry{_Bk_q%`QnTbpCF1 z;ECdC$xH-!6YIim^4K)YfDtw3CxMsRbeBKqq_0-4-cNk7u#A3E| zwD_=~b`MN+2{0(dN5ynUN?aJ^$Pw%mmDZlBHduI!kM&N!_9L=Vs)qV$X#v>ZQa$Yp zxJ9Ak);-O)UNry*y1Mg?^tRFFF0NSkB2vDu$lwGr{-SV!LVV zbI!LZ9vfTvPVMz}9K{%thu}I^z6K6YX?xg3AZM7afw8e>8cLTi>+mei>;c4G!ogkg z!uulV(S_gntbq^O(TWEn3JKe0N!7K|wn@sH?}K;^G%~=7yt8M$UQ`BmsdRmNSdeu& z$ZSb+zv)|DTn*3wwCn-fkY0CXs@2Mcajlh#8dR>S!Sk|bdeTM zkqA-81r@pGBW(jl=XABj(tUyT4nAiM4N@*aOC^5^uwTX|M_K6M@h+-?^O(}$OoB{L zopfrHcrbf$|x!rp-;~f#}ii(%um89kTCwBnY z5Ci86*lD?O)BN~3*OCF-RhH6Xl?ZXjy+s%~G6+>^74oTG$48tDmhg(%=c+(+L4N0g zQYAEJ?r9NKfUsUoxec$Pl@{D~ib!0r#)|Z80)-Yv8Yc{D*WSxB z8eEh`g=kBncU?y|A`=@&n>1l;mXjDK($fr%GOp>E;?)?VQy(w2=9ME6b;G26#(eb# zhFp|=n_O7|b5t7@?RV`MAo>nuX0>vdqvaWFbk#-4OGW3Vqwf`ixdYc#Eqrn6Qe3ghjL-;zL`0Tby{^JX5e7S%#P~{HteeOa-9JYb9VHm1Vm6 zY2E`3p-ZbvlCTMjRAeScx-?G-RG{XsbY-gLTshjzM0|ApSZ!TQSf^s@IfBP@N4QsR zt=>f?@Hg|YE*cxu@OkFzA|e>$r7nM9k8fZMhjS#(Unruhq2%q^QaGyo4r^0G;a5+d z+rvL57~3!Epj@@hXZG^G67V`af$5;fXyJL?FX^1$d51uXfEq@Rh*~gh(B^6 z&?s^XOVTP*t(ugqA`)^_ZjdR#_h%D?e$6D?W<^}bB0hZ{8_eX_(c7~l^ zwPS|C`y4afc{(M)I^1gU2>g7k6iQ_1z&C!IPYeJ4baUE1BMZ^JbWI#&cJferUz9co zTb;q4VS+hyDjv<82y%nMuXcaWmHUfWxjVs_7G){|SSKu~=V zmhKL%(kcXgOJgO2O`pMRa4t)gPl2V=lzNEAX-RHpHuD33pbSY#@EdQbcc@?&=e4?c zM|--X`8{H~wA}Aod?P;WJA}1gnoXlQDKD+f|zvHz@L`@MtEY zqbbJSZF(x2A3WMulV?od%gmMiA-$lGt0-2+04q3+46Ya6b!Dqfyl_&hm*ru>GB4N4 z*yv`|X7Kd`pSCR7cj}sEMj@M$Oto2$P8i{i*|p}ydTEL{NmycoaO6r`E~|_UV#i*U zJo|9Xh(NvNNsli~J1D^BBbqlmEBr%=djH6iB=^zId z-=fKi7c8|s#4ATy7zzy63Tg2n^2;gfo(*xtnq%0+{I-!dWbwU(W}A2ojydK6SIpDb zfrj~cDtX<9+t+WAhQY*|8x-0Pcg@530|CBrX4c8mJ3{eWLXr685i)PN z9@DR$YQtt4R!l@oAqs3Ue$7;qK?xadpHN23tOKF`(37bEq#+oas#xYM0RN7CngK(0 z4<)x&=oM6przrBsw`Z}*k4IopbmtS_Q^ZmP+uqKw{NyuWDnGnCRBhCWK~gwd4TqoGtCu zYc3@hyva&_@6I6-|Q4L7|C^zwz$4O2+x>v@);hn@o=z0;t@X#oq>P>mSl2X0(Qu5wbs z^2bp1Fy2X`rjvG`8lPc%HA+$3>mbxloFHwgk1IwiaBs@;|lIeR;fUVmp&R4Y?8YJJi{E$A$+Jb&rlyO5;w56aii%`t?wE+a|G<~TvPO4vS{HB zc^HRDBWZY;kQPR1u%I1tz)@HK|e_wDM18V?LEfR zeb>};HW8(Hc_vQ)a7LA*zr9O{)G_UU+GaPLEp5DRa;CJa?!KC@Eg3vlIF4$pPMbK} zw~4671E7L?+QL(0O_)zzAKeE}2ulZ}%vq0^3HB6ZgmTR&NP3}a`K9?d@d(WG<#L|p ze+>C%1$YcTL*iZ%T?kfXpvh#7=>%i-38vSjrhhkXjb1SCM<6CE=A`3?ck#H8ex~ew z0_z%SxVxV*(^tw9n=_q?pn60i2v6O87bcc3(knb=HXWbiO0w;8kYwSaWHzKfCE9ix z+Rfp32c7DLXiaGO`C%8BY4E|p_r4_KX>*mDDKC!IWA3rLO72G-I*Bn}cN%4j5F&)) zvnxJSo4NT2)J}^@-31r;<;R#uw2POJPsfRpc*EH}WP;788(sM{4@z(s9O0*xNM>PA z5_3&rE{?qTatjM!#x+)p35NF>2pA~zfdPEKE)yo<$ zF3e!xj7LUF{-=!YT%Ie%Es-Vs-P3~}pP-^u@%{Tkpyuvmw)dIeoH60qK2(R0I;&?- z%YX}g^#KUKna$|!lkI~=$C|&VAVIWbWtXsEphf}{-3C;0M#oC1(W(=KYu0+UvK49_ z2L9sF5mJZO`eM_rvN@#kM9euSMAwR^?65mYP(pz*882^k-5)%qJ{e2k^h;>jq-Z)_ zW{CM}714d*Zt!TI4X%MeGw~LFD@({mq=K>xXzg6`eo!qzOVEHm4AS45s5`(kwTD% zCg&NZJwV|#AG%X!Eb){?jM$YD`PPIXvW!>q(;sCweoDx%x#(VLU!sM|&r1Z=jarW~ z;Vg@Rfwzal&wk}VXb3Lc^BtLIQ5eLvDlZm~jst}YTU!SQJer-Z z36h4`1(m(Tm*4)IVI9vylXUALea60n)0AQ4@wP<`4%z6UG;4qPsg% z^M1~B)g8bkQgX-0S-Wc9Ehy}A@+IYP$dMGL%@H_od$=s1<+9(p2n!*d9pLpU?G2a< z-au4{#nlIE$rq~GLp!g__4wHDm6{;&)Ms|YoOy-|?KCI8og+7YmTR~*y6Z({RCx;N z!Ox&`JAG>P<(Sr=pvek^cc9{$em_bbGD$^h^O&Jy%JVo zc(}N0-yK1VB7ISfD`PSTE>h=3Y|!wamUpY3>Iv2+jq0<7h$Ql*FCp{nB#f!ENVi$9 z`PV7s=9)c?dd-)Ghps}DtD#^%&z@ZG8ywD1X_;R=kr68!YJo06COz+p?UyPSKhj%Y zy7>jR1U*S$HPSL)((RN$Q-F5OLPDcV+OvBt1Cl6Sg?1bdW+e-gc5fIh$Y^x>CHR_N z(7}^|%GQlX#3+DL)EJQ%(x9&X@{BvrOIA2jkS+Si>{|3;H;PmpdbJ-@L4Hm;T&yV2 z3`eKIgG|ZUFGf~cw{WkqzsC?^7hvY-*~R)H|4>dD!?G@T-je9xFrnw)Kn)7c+2?@P z(oI^!Ej`aeWA7oQ03Zv9DPfWDWk3yp$Ubzcx1xguSINl z=fjm|8#%Rn8v}BeMk94lCz7q^@@p4)G9BC(4N(}@5?)grW(Ki5xcUoF@(=G&dU``* z8?kyYA3U-1Lpa)kEnbQ~&z&|jM*T)TQ}#4{6{Cl6=y0a*n*O(>Ut?1m9niZjfqHY> zituw?xGMbctYsxvJ(qJ^8>ffbgX6BWj|y&(deR7Yz2WKdW&Iy9Q^}(HqMj-oQ)(xvC?r*vvQByQu0e7ejy7KgpadmF9UAsndg5J>CtE4^8&bUfCbP~m z?|z*Qj_Cv4%t=}4M_55a4{M5JTz{~p->7WIT9Qm;UtA3Z!W`~;4U{hh@D`)Y{d2N= z-88y0fgBlP_GBstn2dSXU;CJ|0jAavi|m!hPK&q?Iux#oZf)wme>RO;xlPx=4m;94 zN0L~TV;i#x(LB@YP+HK#=041#m6r?)X3$35VA0*w&b$6N0&XiOi!F8ny;SGuw}DXG zS4YXU3;E3BK=>EzQVv&smrVqc%J{C7c?g)T@pw#zKe2~y37I|q#OI-GfMNG%nHslke z{UKUUf}ht*Xbm@h0c@$a(AJQFo6wK-z8YErZXVT?+efsC z4)+&Ac@Gs}g2cTpz(lS4xF>vcS4tA{NcM6Ob?9kiDN2$8h8B`=$#&Bdun_HRYy0$D z#4g28InbkOmwj-_hw6K+luu=&jL9lBx4P~=mEL$>x(i%amgvr7E6`I6rXl2TXm;Xc zB?E9!9^fg&GiE2~k3|Mfg28LAFSIgmY?eHU9S^?cJs)?pJR({(+7X4wAQSl$si{kN z1yojevty<0Ktwa9p=>6pQj?_yPiQu(uWKFHMEkP!>OMBtoIpd23RvzKWDQ=5{-a;ELZM%xUGt_Xpi+nmZ_lod zTh$3HZwn!eq5%;nxM-#qe~=VaZ=j6?bk$|nGN+fQWqt^VYO1ox$E9QF>6GRQNoe-M ze=^8Bz=ua3wNVzoN`4EjugX$X=&1ru2=H)>t+{k8F$L`LARx=@4pUA#fIo^^Hu$s) zb(orD-zu1RVn=tynzHeOY2a#RIW0IIzx-GtS}0*B@{3LFz|~*A59~#n+i!3V{Wax8 zk~Yo@r)GIJ@MGrC^NP3R)VwG+#AnyZEKn~a`JB)$2i-|8Sw_QdC43*O7NHytP3_n^ zw?oZM3sW$w%B+SWSRA%bu%uANT-wWv4<9(ChamDvKTQ+Y?8mI@X20&~T=% zmR9LjnTP&+XXvD^wAzN&bz7v)fXFB!t-xH+$)`^}9x|IJPM|KGy_FZ~4Z^rlwN)f& z)3AK>bSp0udqsc5Dih6BH%y&yJ&WR}_(l^`I7}#HqqdVZ4dlj0&;yu88A~+@T(c=V^XzK_s z_~_8g7{DOX!2=F34dZI7;ExNcyIv!DG(sDF;Cq(rbSVuyAM%)d+^0l>i&ocx*+{6H zpirEL{qpl!9F06n)>sMVHWdLms7^*MSXW0yBKI3Dah`7I!TBMJCr#$r504pSk$($1s~<%Z>W2LgX>+EVPAb(-h4c`lpJK3_9k2k{4`R-Srz83%+e&9 zPX6?X3Ov)K{kY#wOOqhKtJqvXo5i3QD>9bji?;(wxtyaoPf!qpv>HW@-GhQnB1Bju zRqvS-jkeL=bYF_CLJI|`S`ojXX_M!5B1F-2AsL`5wcYVklx^8;35KHE|zDpdD?j_bu1jU>A`OsjAMi@Q- zebo&D@e`M5QS}|BSqaf-#G!2tXz^r<4 ze`OAzYLP&-4;{p-Mp3xIIJv;lCziN8U?7~>A@R(LW~3$#jaBlpm4G4{ zyOg@yb4lefcd~ZwXS#aLGLVzV>T)QC1WfLG{*e%*Xq`$ZDH&3F9buK5y^xCcMk(X6 zfl&~1Tw+v0MeH`U^W?>}tp|cgaXqbON?PSCuUVC18?|F&zD>37 z@;eNK&o#K&OFH(|9>JZ9X^E`Eu6uUdjnM&>^(oQO-XqJrU(rM{r{vp}Es40%ddg=t zV{(F6W#v5QB2~sK>l?rH1(Mkn1v2WUMd@H%*m zgU$_WAu~eFu;py}Yr5_EB+z056LnOKTjTTWajwDR?-f5xNh7KIhYC{Q6t#0&Zp`OXsBfMNfcPh9W z71c*q!5DOeo$~DvwArEXV;W7Dy3bcewmqN(${pQbimQVO|20-;Q2MI;^TAUKjoJXg zjw4T@qhA(4wfhCRW^R!>eYS=P3y|-LUgGq9P}re54!dni8}AWTRzDx7FE0%h%doba z-SReHw}gIUoJpHI+GLf<0SK(8vhwd}{Af~>a4&{N%3aV9w(CL}5fgmp<&ZCQac_(L zE@u(;!K*O(q$JjdjllE}lJ1S#t(pPw*$~+z;$G`^!{ZBw*QK33N+%$zw7@T*sNpw=jIsYE=Som}KiY|Ijva47ov!VmdThd-rAV(S;TN(x-MlRB4|I4KH2wg8Eqx(4 zL!L}0+aCz85R@@QBJZPpenb`yTujjH+u8NVLqh7h0ik-uT6=ZtL+J2>KRX|wTX*z6 z0R8hd#M|5wrB^-197;!?UAfh<&JKOWr%_`s9d`38+p0d$i8KqPpC&wW1D29GWnof{ z-yXM&qS=40rA#UUcvvm-U5M6II|ed&k+Xwyta|C2Ax;Tq0NYwArDiWP=6FI%^^Wo# zm#4G7jas2C44DV~Xgb-jV5I>1P=XcT+FQqi8#@TLXl5#B#y0b5fdLE#mQoU{7Q6il z!|N38?(U<{o0Nz^&yfL`R4EvQ)d8z}^+fBFjhPR8WK~i6jOp`;b5Z#B3?)6aMiPq9 z8)$%GJaa0Al)!{oJ|;cIMXYECyBGi`Qg0&`rbolmHzlFX&e9eQLpmE&`c!LGD{N)8 zQ*q>UfoR?VbXYlASx}?3KZ7w$9)g+K$DGUi0g|5Y9~qJHxwqjCER{mO%^z)++h#5Ma#Q(AF`ouF!ul)NvgUz+UR= zmr0^N+P{|H&qvJ@4y&(6-G>*WwABh0kqJnx0mB0AeHt{D#3$a;G15&AL~qvcQH;I? z^2!v?-(P^P*+!D&VGzEn=Tz6L|2sd^7dwOi;>U{CxU@LTO;vc?8193~(>gx)vb0Og z+ku47!uLKheycWylTeJF(bZPhvRFC!FhoXs0ZugzRdgP*&~gY;s!HF}FkKcE{~j1Z z?D-@2w(ZVY3}3mE?qL$@c4h4D{HQ+kwT1DHdU;N27%k@H`O{}I<6zuI|v(xhDeNy(-e!QEH7pXMo7X0IMExC-Y_W5X_-c3mqhaNWUYPs zmg+B+$(8@fV0yFlaM@tJ=?bjp;TubN*dts1bkst2r5f@%iYi(-1`io%G(HT)JN&&uS zX~LG!nBXMb8wy9nVDM@6AQZtCGU-Y&yne*>wRiOUPOrS@aZM9Q;(WL}+<=2%`e3gX z0eTXx6l@`?ulT>oC$N7WsLqk|( zQyK79sn13V=DP=x5h-*pH>%HL%b3-Xx^DaQfl=I(va-2Kas_$pDsmBi-DN+ z9AhWdJOZWPMRw%`C5$So_3$8uZbC|j+YdGZUFP33U$|(FcU?)&9PWhSz++Gs`U#}}#aj@|v?(ULih>z|uLg_YZGzB#${BwxSi_8r)`DD&M92lzOWCM90LG z7;cZnsh(haJJ}48b6Y}|z(f@jVa<&)`RPZ5+AHApB{Cla1Wyz@W;r&a#Zp*Ux6GZy z>*HOT5sJ`OkcGn(?#8kDw9B?R<7EAODo!vVOGpU)x!%r70tZR?%b?W2Y?n}5I(!B_ z{?qem-$ik59Qm@~wO{uKy)kUSw^^(BT>J%-w8bbM#gxaYtT%18ps5O5^_DXrR4%bp zi8J9Ugi7lPWiWBK=tGc!6`^OzvjkV^yZ>Szep0e!#$zJye{NGu+xDXyyTJ;aPAzn* zR`ZD3+LF);9eRPLm!nw3M4@^FTr-0->q%h-mk)K%#;Th+;v zv!D{WRLos@*0??(&}TPb0rOnaQXqh&1_xgI<7U>9gU9LYh>((7xz!1Z4=zk3{|=;C zM#!`PQ;!mffZcS74l^ztDX5Na?w0OwsOrt&J_G_XIbYLgI0-dc(rN`p*vn26F#42p zc~SiUqlv)BT;1`PI=LMv(8m0^3`y7Z^l9M0DCv4;QP8motDV4wclh8%FD7mFaR&ze1Wyp)Y%yYeBaKUh53rBOQ2+lGe2fM9+ zCi#@te%0B#f7SUu<(PAfCici4RB{q3X}(?95G%e30``~W9vvcazR$D@c|jK8BU)Gy zBFmwv2L&X5Gv#=9dPgfW>TS!=L0Bj}XbHi&K4U|pHc8Vj%_h)odc~dEYODKg92APn z!}?X=9*H{hy$07wZmH1LyJGKk))mHl&CVw^e}~B3ns4JO4lz5ln*QOqA&lT6$f93B z17R+Kl9pa1DFXIa5UOt0U7g3RlQo?)yAb2UrL30$?W*mTTtC^0c0j(%z66Uah=4O@ z_se6!)3*4CRT#qiNw-KsDL(QJc#rIv5Dqxjfr_*Jqg6PAU%-05xD9t|i|LmwD-X7e zn9aCZ)iH$W<GP_iBv;cqe}R1UOZG~=)M%BjdXOS8B3R{GV) zW6-nCt)gEOYr~sqaFf)5AJL<~r1YWXjN!gyIEjGSldDw_0o#1feWaz5A6dh-Pv&ul z3I5{AoSI10a=v$ge%%@7_<(948ciwphzGQd{=S<9Mv&X3FojHem3TjSv6&yX{Cx3q z4T&nmUSV=}D^v-~Tgq{-2>a7w0C=$Jdp%iOTpxxoHut znxKIsYQjpFhd`Rj5ROjCEzjz@l!#^~?5@`6nTN0s?yf{#qm4BDSk>4SjT_HrOPoRA zh{HkW98-U~r&=yi;w0qsOaYTBn%LNB^wxNW`HMlO(dYc{mF93l1luaypOMNIH>BBz z9>UNFRywSL-KyJJp43`{j4v#*v(xcYa($<*54DO zm~vyo2-u%2VAH3tI+agjeyWjD|;lmB+i zF~Bq$q*0jScx;oD#tg51cN#&X$_!m*p&L>}5KJuYI?;ZUax)&lyOb4cg8HR%@rt_q ztGiABG=$w78fAs>T&10YShH~UKZkP* zO-xY_pJ;#Xdod!XAg8|i?fKXidMHphh`Mv;^t|1F(_&sWXJGVcc2WoKVcg4%c>iby zgvKAf%#YXL!~F1=!zujTJk8B8D8|P&WS!43sK?Il>lAOky-QwQ6F)`fbc zwj-t@)tTGn+HyCo`@<`OEcFqXejRLoTw0IyH|^3uYy$m{dX>I2`+m#YFD)5%}b0s=qAusE_@R5Y#WE>gc{sbGDBA=X$LcSQH%-yWu0{30OsedON&25WlB*g?cj zq#drg-G2m1)pzp*BAf6R)Cd?xWY-Zmf8OcC1b03K4c1uEin(%yJ-hcQ&`6#+7z#B8 zSAl<*5|m#;cFvfyAFYb)djtHAHDF-`i;8Frs}hIeEG)v(aicI0@e7H&NN>xdqiptb2RGST(D6@p-)j? zsz24dNejm?|HkO=Q*2DsIri~BAfr)R>)CLsjl_$!hJK4jzhQwhg?hFhKmR{~C|ezA zY9SP}xkhxhB5KA#j*e|<5pKuOktm(>rFyoP5%QCDl)2NG&_D=RltYcejWR(=uUOH! z`maO`NQOREYx}@|7C*jq!C&6kV5|hHF_3CV9s6(Ux!j7#Q74fA1eiQOOECvRN;=7R zQzA!PZV?j5vjzLDl%1utw_awHaBMv5?O6uS8fFF0GkC?rlLG_2mLyN~&JEv$zumD} zo{F?NsTqi-s3*JzaWYISo~b`Syw8Y#DX+wduM|#sQ9AZFN#M#Am6v^Q@oy%ZAVjbm z>s?^>gHL?+&dJO2Z2tDSm-=^!fIBH!HU$nt|I3DP-k~=x7p72bMO5*EQqjv__BT3jMxIpOx9?3*R7WPI~>F#rfvoO z^UA#;SUJ!Xuq`q^1^4qU%Z{K!v)v=#8hZtB~WCXv|Efb^w}nVMjOm2dfJbJ`0_z5hB~Z`4t*?OwTsRIUdv z@aCwP`{HfBc?u5sH=B}k8=OvG z{W#?jN5`7`{J#k&alJ^TLfNAC^VS@%uX0-JS2<`JK@gE|03?V>I$L;3kPx}o%ugYz z3=$*Q?|OhT1ONB6v>?~b{T-=R^K!%nvy&ZNF(t8~t&q42kXT+2&YzsPj&M|9x7Qfe zzT(;;=B2x0-)KW{Y-ucm9fB_CE7f+?>F2HP5@(F*75sAb^w1->3dPKC?I10E#21GrGkmVz{JP7^6r^SJsK2`BA0zbNbA?WCW{%{X1Tawxi=p)}gr>(NA3Yd{#Cc_tI&er~ zRl4JxJ5TcXdUgv@1>nL{+3qw?`97v zb^X+e>j-)JCXJ`nJi`4YYZcQV_umtFpdzTh(NY{DRbj&~cC}k-B2=VT3L$74*OekF zECu`VXQw+wufe`{{azw0M~W!#-x&9T=rroz9EpZ;pU^t^2OS};{Q>B_I}_u7`|#D~ zPa7@-7I0Ne|LFFT2(b$>WmqL2`bG`7z`!;jN<(IQ*NYz=qy?Bn+A~Vt5Mz$O(;)$V zWixv-{cAfDqIkDcXU8x4RzD(uOxz#WU$%zXKDr{ohB6YU0R5CHueYYLMf9gwjr>na za^37ozRUGSVIh_(5Slg(efh_`j?PI%!bt~5J?&Xg;zAtF_D1iKb6s9T6D%GKG zMp2PEy;3d6-^fbRA{oucTE3Jv-1NFQQ~OZ~=X>Ux28Odej)%RB3aFdUXOO>EZ#$}K z)yt0aPB$@2aF3Pevf+q4z4ac$aT|Q&Po4ZBCt9^_Qx<8O<16&YKK~+zEh1_r_br=c z{u(y?!Ak;<%xdnB_%C3Yz}`$cR~PQsYq+j2o;PzrKs(Xz*Lv(!Z^M1ktwLPrO_D#v z>r}D~Eg#!k;nn}TAQ2lXb(a3~y16t@O2BI#_1O$Q+W@%JnWZ6;fX@~f>wt5P?t!En z2 z@>s85G zguqCDcd~F=>YRal)Q&$te^OpFnyl?8+@~|D!UhHdjpTHr{*lX<*?P(V=|3x1f%4PY z&pm+2J0cRfDFQIZ6~px{LiO+&IY-^y&DR`{& z+1KKKMXxrDQx1Z}D2Z5k;D;R~uSnhJu1gc}7xQX=9G=YZ?a`-oXkr(N@Wf>lu=J4# z^*q2*FC93VJ7w9D)P))XH*FVY-DXivd^2xrdM`KTAEu65u_NR>NB5H(ZyiUl;Dwy> z-jY%p!7XyL-oKs@#{}KH$;<&Rrdlo%ai%h`v@!G?v1U#%CfJgULBHRx`}Td?Tgd(5 z3W*H8f&ZjDH!4GZSeVt(z#P6+=8$s}hHy8HmfFIlENspHx8X{+DssDwIrhWKiYdQ@ z&&d{Zq)LUaqPZqXmitxJzlio#=TEBbPX}=RiA|@1&U=>5=Pd4!WIQH6>@iAqdAHP1 zK0#wWj=t)$ndv_4@&zfY{9v20|1QYw@_J|5rm@v9A4jB+qJ^^n57deNUq`VzA0lVf z2{=qmIiOMBvPvu$=+s?=76bzyOqzt%XMm69jh(-T?g2wHtDinz@jxf@S{qYlWs*R`2Od)wfw*yBZG*1SzkKh=X84f1oFc&{df zB`!O8!v(VcZGif=|C7cO&^%K#^74~8`N^LylN_*_{or~tT4u$EzmViBRKk z^wK|Zsj}HMRLBe#IsTaQlvqZ$OvB!7Z#v*CI&6819ZAhF_{cU1_c2fBEtOn0g;p=2 zgc2?HE2r<7akFnYp z5(kjTjzz^}g9t%UA) z_dJTl+{ZZbQ^$zO3GvO;GNoXrP1%CVZxDuc59qw$exN)oGI=rx}}jbIdTd^h9e z;!>SS5SsGU(N(gzqhNH8e=%f25?fhoe@L1g~CYIKyXw}IKv<;ft0IWQ5K92C$gkOPQ^{Tsh zRUe2IBr1{i1OZIRyv5O_XPr}^O`|tuve<=l? z2WTO&Q2b#Q*0vBd+~om}(d7GK3?8ogW#i?wXu8DY${DsM+)U{QmX{Oyu0yQh#Oirh zhF_T{sq7F(TrdV4Fc?5WW?)0D(C)?T| zAq9{RuaZ$3rtrgh{*k|i{zr{>0o_Y>LR`IHtGRaf`k-g^Bl=LXWEGa9Wr?y^Mr8_Q z@E*OCptbMyoX*W29p#_77 zoX8kSkFhd;5`;}jI18|I8kH77M51cx#Bbx<$9v1DLL2nB!^(oqNz8^v;rxH3RKw!Z zG6-eWi629lHk@7d#v4B~AepeI7@dFy6n2lyv^NkqP1Vh2CT-+2UVN_0`F?nq+8&R} zx7o9P3eM!|v&yhovI8160wVX%QQv9QK+v3-%N>L$&N5b&1pnAK_@X~^r9F*?h8dn` z>|w8=^U>I{8P9iTp$@RkX3wT(OU0Fndhm1l8(EIc=eJJ@t#TQYlCyq(6jRZ+%SJTM z7VSpe5Nft9ljYm}iaE`i(qS!#V@v6^AxnaQsG<=3$cLv6QKL)>l7zqUO%&Po6E}Fa~InET0!uV=epIE~1>3`TKmzs{HJW$SXug=DN{- zB)2=u%1V@YpbqB(b<-ofNv7#Q zyCR(?oDFP$5dr$jI2+O^3|#N zk=?x>RP({-bNR;q&~WyL&-7dIW40Gv$1jpEeN&Ws*zbPKuqno*=_i$|-lWr5P5O+* zw}Y#q+wN6gKHI{#{htnfG^p%=V*(7>ivDBg{%{!_VbT=j^aAax-D7N?VM->iuV^2N z)qn96A9HXzP7onuAhEX9Uw4iz-$APCX6qjOAJ+uVpZIXZg|}xCSr((BLbG6yJ7&4cdikuZMz8giBpW{R@!sq6-VL2rK~!pe|W{zwt<7J zyEwVz*DY(MDDf_=(4l|y$+JadHwp?~T6M=jQQX)farfoWm(2PD!nl05gkflX@7K4i z66E0yYt3stM;r`*3@>JNKcD_LCU<9!vl%(6Q8Q7Pof~DeUWHMKD0{HctU~y;W;!fo z>IwPdf=$!ufb|1*y?<*5ebVhI2D;awwP!@N(U;zzshTTBO?1kyuYNzG)enlAZ+Pq`_$dNyaoOloo@tJd`fF0;+s2BO+Be@_-l0I$GseAF4 zXA!y+g5^KXq^cW}+rB(|Y$qQfbAAhc7fEZIAMz&C5KD=J;XG8qg-&bbqP6lTVE=ac zZeSMQFnZ2UDj{6KGP*S5mOmLEF3&}7ohda*K2u0p?5ZQ&WFa6jR-5uvR1W>k_gk7i z)wmfdI7Xo^tlKN+i~r0wSE7*VVAjjWID*0p9sy&J=g{DjwTl3$lDvFM>biHB8-tuJ zN4e1s%I8a@S&hiCq)EXpaoywY;o6gyX z3xO>+ZT*Youz5vWT}e2ccsAw8j4-1-R)Q&(q)9F25PG(^xD9W!d#jVW5^(a z>N_wK>U{c{`FAo#^-7aIew5f1QMuQB`6?lt=wb;MH-rA{8>>p$@%S;htW5kItFx1U7HrepJLC zUJHG1mhx(w3H<`JzR_aOk7e|F15W)>ZgBtZ%>`{@3BjC=Eh~CthV)81TXU~1c|x59 zkdx@)Gmh=a+XPYuH}iyi?>BuS2}Azas2w9REXd zPUYwS520=oo%%|^$3k-bY*(6(4Wk);QoeSd#`#IbIvMUmUoQ9d`HWcFC#6Oj#=NyJ zt_9Lt4b$4r>-ZS$1N=>%ZM+`vU9aEMf(cW~5%>M-GGB^CBAS6V$|e!=^!rm0`QdZ9 zN+k85TkZE%LZULXGcbv@GQU8p3PZ?heB$4k@7kyGrj>~Rp$$!k?ufU{&KG6^jH4W{ zPXWG`sw6Wo5cgX)^rFGP6Y@Hc8(c+o$DlxFVM{F=ly;%m>LYJQBqGx$ybrAARcqWM z{&W8ZDs$>K#?6o0i|{z;A8SpiR^pT)7>s69fNT8kj?NqE#|w9%u%s9;aW7(Jg)jKe zC7rI+$)f*rmm`8&g!4OL^Oyp0vy5%s@2aN;Rf~xKYwtb4qDr>4VI=2_NCpv5Ku`=w zPLd^v2!a8SAW;O#Npj9P=bS@BLpLbgC zHk&CswmFpT2>y!W{poV6E2^8UbuY$NAr&)fZ;<9lJB_M`hC1~1!}fB@-5;wK%05d6 zY+Sv_GI2-wkXm+$5==%dONF|ezn7u!oM(#IVc+u6`GGpx_Y92r(spl8hS8mH;d3y6 zyT|izUc2H}AOd;&G)%Q2$Rw9KeNbm1ZfNJuWA2I$_IFp%n%5nw7Eiw)J3lHOL)=Ck zDmd4%I_-FJTwV{xh(eR1qs)33bss|Kj)-*_2*c4*-3qkNLi5HI~$mh|Naa_^lb)aC_T99OFZjM9GQRZ658QyfX zr??G`N-bnhzO1%AUw3s%eLLP%@M!61h|~ptLgNj0*EnvY*Qc%8^Bl8>+4l)HoX#Wl ze}Bs}jW6m7P4n1}v-#-xg{~)2j&+q-TcK24R>erujrKf+_IQGiuCQ3HeUILqtt?@3 z!e}_I8un8dUac{~d+G0Lc~f-NHetG{R@!3ifa(iEf4>K5l)+QSMQUJ54&EEy(;3^^lU9D>>*sos8ZX2MaIexK zmut@m@Y1>FoI1`LQ|wQi#2hU}6x zo0xZ7fy`@-h#EdqZ*6m3?nDEn`3*CJ9D@^wG&qh&-!_y@A+Pk{%b)x3vZ4Lc(OZ^- z4K7Tl#D{YHBQDD%uN2&}w>#68po_|L%`RV_p2CO3M^G7Eka1bXd$q-4{#;0Dn)?$0 z@y$!ZoEs%FN7lGrR_lg7*;GV|$6c4J>H7#f>_f3=6O-2x4mCIgzvt5Gn{W9NW|mgxRm-irk!<;A7{u+|lP;vJdgm>9CJSD}g!6i+TQ7%AP_LSn5(Wf(QV-hl zdgRxa;y3WZ!t8>qvaD)vhJCQp`Z1XFN!5LXWAg1)`(7NBykNarhz`vA;Csp?^KzEk zc;HU+i5%2u(a6IOJ3D-`B^?J&5PdM0;#<2pwlyrPL2|&b#!#*b+p&z6>XddDu+nzw)hlR4OQ*b3Vcaxu$YgV&OHP+dHG3|7p`UAe#H!qy+N^77 z?$)+gru$OV;|&*VXa2KmgvFF4^?48JuN#e?c?dhI%~(;f6uo@9=3@j^6Ri^>|D+mGHq^c2M(E*K#`&lfG1frq6_=I+18^bGj3FUwIcs zlR~@Ea4>MRa`&@W!-_ba)A4=p%J*}?4w{!1N{DfX2O*?9uZY<1ZXjUe`8vv>+dXHl zyEZCzJrFe({j9Z>Bl-M7`y2vuo@=mG7sl&IzKixLKU?Ge#NAn9#9aM}fJDfLg|rY9 zL{a9`CbCAcm*R5WJ1XeslbY}P24A~rHNytQpPp!7~(R|4s42W&Q~T6&{==M5Qs)=^KL z&vI&<5DBGTVOEayu6fpUWqdQK@Z+NbW05}k!K#99oePEDcd|M4FIF0k89OJSpW>~$ zw)qA#ZcsL-2YqIUBUN!Ne;C$cLlImknKXX(c|siF5kU`ma*c(&Yv;U_Z0D6c4RrmU z-@jcG$ZDLl@1)*K%bN+eWv%S)8lJu0mo?){e}4P4@rSn@ls9j~l6!P73Lg_4v@m-c zm&G6CN6%_an#JRHaZuM!mLW;6j>g$0X9RJ1e%1se>@M1lRM`#MAke2}9E? z&O5Ph5?ecs7>@nJo}UF<(oQv@&hloPDvff;Xkqn%%GD1%w~ug;r7(~2znZ1> zSfwYFf7H$c;qE6DK|}={oi_?y+>reZHQtN;g)}uNwZ6;Si?p@ zUMsf$wQcy5V=+91dR@F0f|QeERozN#ghd|9R(OMt$vhq*=r*_c&ig-6I9-+o-DR%v zvUJX3=nCkbLVYxAIn2Crw6`Lew&Vu>W)w!1^=yG3)bW*xBE7{Cakcxh zlUA9U{0-I|jcCT(N?MLSMllX_GX9XXyFLbj!O<;i-lvQ9cWgHjhIh`97Kt{;QWtTj zFnjH5;V8?Hj)~=@n{Gbr?(wNM_nh1P(g>v(?quo=ou+VN??nQUB+3KW2X+pK^RjD| z=dWavX^D1I%?jCAhZS@$m1a+U=-zNUHLWd%ad2F9wB}v4&XICaIH6M!&_Z7%=r(Q| zT4i1(Ab|b^=d208CwDzyZh~>ay)M5Ni)t1Mj4@$3IdW5IK^jBI7*o%AII!&mM9b2` z02#((QH{)=Iw&?-i3;`)P%XXuKAd_(2X5l>;^TAXJQigpo|qVV(FM4b)ADPd?Us>? zoG)g>hcWzy%5zn9IqXG{zEI1Skc5v~27S*eO%I;$ZuL5JHVV?y7UGfab=$!2)#*k^ zQN~7#W_9~@4@am^2pfm82;RY&a}Z74Ys+T^jvc&2aGm#FiILE`szZ|G##|E>oEOhc z#rd9Rx#=(VK-)JhA}4Cf8DB1AsH^VC!S$XYw;MAL(o<7{)r?i*_mwoqlFh}zZ#{Zs zab-YAUP`4hkc&>+;5}u_rRyJpWlpY^afq>BwYqX-&C<-QOtFovM#~#J^>lEgE*9op zqSCw%enc^PA~LN)Z4DAr+Yo+nc)#-kouYL(k(ge`+9##$kX`+1ClW-cmE&e11EKpW29tJpL`h)3ARr;*JDlxg)(*Mh+)bY>bJ-)dknn{ zF1X!7?!9xWj>pBCJCRgAW0mRQu4WY@bj`4vIadb}xhkHvHu5}1 z+#5Qks=ouvcW+<~tX+P*mR(8mlCssw?)fIsb$gC_QnqEb3GgSMa~G1%RB0tsx+l;* z4nKJoB9{Aj>DFu?PuWRt zE83hb4!uybGTG-*XdC9Py{6-2KA`-G6icLvr|x*X`cQ<6W|VO&zsAC2(OS*$LuEqP zQLdix*flpO=7KPKZ}LFN;kT> zZPi1)5mLf8ui1B%yk}(84WlhG8}m}reAjJP?+xR5j=G4Jwy@3n=jWt8*qk!^kZdny zqM+qR--WO2Zz~q|R5s`;y}1olOmK3ZB(}F-rdfJXGxqwis^(9Lsm^GRT_Ssua*}lh zZ<2wWE5r{iF6r@e`?7qjwjK)HG$s(XWpv6O>pn{PxJ+DP+;3-RMOcqCVyEbG_tHC& z7MgupOwP*j9i)cBF&9f5#KdTTSX!nGVlPKX5r}T|SYj^Lq z&?yLMKcBIBvRoC5LB9%Rj+l$6CBVD?nV|A8*WI|9yW$;TgIVlN#h+?>RRivh4k>%x zB$|zC7HGcsA?`7T%7<^CuEg}Q(_LmjNG9x zH^)pKT;iW{x?saM+jx>8Rks^M5LnJx%{x*u2)ZtrN3sEJ6(M9qWucK*u2KL!IEL` z`vRX^{I5t>-p)RkO4RO;aeh`;h%ZMZFe^YyXqNrX_kFTntv@AAp}fADNg0~bA&bBC zbJp?w+XuWH6b>9u6eWLudxVsB)en0%wq{YVxAa35oU#1ewi9A3mD3mY;ZzP6x;)YQ zEc#`nTV%sPgUh??J(rAlSdDF@Y;{k3wp*L`zi)ABq|{GxI3hoywfq%LcrR_sa-es8 zV8V&Hx{-<0cW;Vi8Qms)QL9gTb*`i}dN*iUFe9K>51hKsH&$@;W2iozoz}40G|Br; zH-Xjera{6BQ119=XDsZr-vvyQkUpw0{g^KI2%6tUl4|Kb>7b!~s|W$}m_;!5wmwou zM}*HLOm=&U5OHT`ogsW>E^w(seN4{cR7$|ksH!SCkSuv7@l)E9`emZk;w_q-kye;i7=wLb#2ax}1P;NEBI{oKMwPfAOOiys#}$iYZO^#1YqFcLA; z(}Tn=tnGdxAfsdEU}fiJXWvgj@C4HsrrTBi%&z4bvzUgtZ&*TlPC;Q|VNQBtbg;Lh ziJq>CvZ}@f6YD!6$$2%+{g{Qdm#^^%$q0AX(5(egcCyT)p%t;ZB^wOKR4!RM+;%iK zP!eU^H&S$i9}iPIOMA*9s;F~vWpxGF5GoSeVm3o7VI7%O(c0CI?1t6l#`_tcpxqrS z3)YhqAZ|F)s?kIxX%}A#?dydVg`6pEB6Y1muWj8&<;t6khs`mH>)X0}x!GKlVt-S2 zA<{`G3c9>YOhrdWBXfj>_;GiRhZ_BOv4s--$1dNGrCd>s_wX4Ri5Igz68cOth$^Yc zDjwxwqab^Ae-=?3Ye?#`JWHplB)ZQ$RlvQpqoc~7mvF@}CM(Sx@w7`M6t+pje@aGD zkg7*Cwv1lc#=~BXMC%+^2xRdM{=V%wXwtQVPdYlD9WqZvJRqQBzZ7P-XfxB;b5WuxCqY+B;MIK0|o1xVUsX(u9KgEDUXr&(DU7TtxRx^dpDiX-YZeD*M^q z8VB8?N1U#_`w$t7<$O9J%h^CGEGx;oTR@ZBHbzPTJ0EgsxADgxo@Y&YQ7}~W1q4Sa?xi``Y-qUetK~h{&W=>kzl|#!>f{*%!mmaOa&6>>S$cY-w zaz%a8@=}8?o#Z`qOiE5(+q-myidT?}WV*JXd2VML9ZqoK98>x_HQjbd%)USr5tryO zUa}z%3|l=3pUfqX*n)Qi6!eTV#P6R!-FWu&!Q%AP%>2UaXjgqvR!&*#==we?W_C7a z21ZuCW8zY>3d(BAQb)P=GqP~;9%Q4%UmL8?igdrGAtB7kKu$zL!zOTCTJ@s2qr0b< zkAHAjcvyH`K5TXy@7?|G{K(*_^t`k{EiU4Z?_a+r6;M&a<5%q` zfKNW$qG90^;y*z8VRs)f85tQlH9a#cJ0}+>DBSdBRMb>#!r~_n zF;X)hJ}oVI`qUX|8Of8PqQ_5&i3lD(EF>a!Mo#72ITaZxrHfYfmRGLW`G*9$SYFXn zIKn{1B6LRLC@a~U$7>JQA1q?~;jKM$+XTe;Z=bENtv}t|+}b5&6_Hg{S5c5UC3aFm z>a-9W$x^A4aqPg;rK*s4#7M~V{4wuXI0+pMJsTGrBf|l976$rLvf{jSbbN}JOfO&1 z)xT_JZepmbsiv%`sB%tQOG8yfU0dJS#MI=Pxr4ihi?eTdTtZA#WXMfLcB=jS$Hhbr zb1{;Be6jKD<(r+S_aEcYupFSmTc7A|u7|Y2yJm=vXkNFovoz8=tD=2g^(ghT31mAA zb#HUFJgRJiZ1K?eAzH`*K`usC!4t;>4)O6FFMq31Jv&CN6*{3y4}8c1ylh>8MH{KO%5M=*S^%PIhKGDhhH+T4t`p zC*;)6sVT~yI!HyvCaG^`8NSw85o$@1&)b{ik^~F(a^o1aYj(+ zl#KdSmpcJqGfj<)3UxJ*6PJ)Wb4*Z3^qAm5PHsK{e*VM4$4*KpXzE=wG&IoHH+1*% z4hV~mjg5_oPtDBAEiNmsX>P4ANY5%MFU&|u&B%!N&{oorW@kSi7-)YpFf2Siw=g3v zCLt-xoRd4Nrm3N(p{c2Dcv)9kh=Yz<&K(RltE4zR zCM+1RS>2{bU;e8lHwCWG^uIi^u!M7_+?ms0 z$S1{4o{^SUJ#S=eblKG8%9U%z23O2Y^feVv9MuTUE6vL-F3w7bjtC10^sv2dVdw1P z>fvIdCa+0Dbt%hky>BFx9^{I$UJ{EW21I!H@<_wel9#o1}>$Oy8z zysWakv?M1c(BDz-QgCW=YCU?a4*`QTK`OG-)52}etDaTYyLi#i*x1O}*!YUs4SOdK z|A0F_p02KLPWJXU9X&%LL%nW?7d1CkRg@Ry735{6B*ugWhQubvhXw?=Tt07X?;9Kv z91*Z^tAMhjEt%Zm$(iwX+!bMi~d%FBw2it}^x@^W&rQWKNXp&js+)^60$APPMS&(AK+ zjmvCbeDdVktIZX3mb`dO@7lB3!Jf*DriI7%#{2p(Q|PwJYFH`*5R4o3_E{mhJZx1;8l2b($uA=x$^d_#9xq zc3tvn!Qfa|``Epe>7lOPF*K~T2ZieG>h3~xBHBCPt!-^B5D28HvA(XRs-mp8ASW{& zEM!5!8RZqtJx#e~1G8g&J>4CxbyZO0&=7ibbYyS<+1t~NXos~x8tZ@_t15EKdd4U2 z-g~gNFxcLKM30P)VJBBUQ@rnQ9GXYAw&ca8M+wJr1-KVHZ6#skG0bXdhL23mOpl|- zX2-ia(HQg~3UrFDO_Or*M^tfVk68?YbYADP#_{BWohx%7B#dZ-@( zX@n1qj*Ve3qX5zHAZnn$x4WYQ*4)xuTT@w3Jum}YS~8+%;{(V+^vFc*DkAN(Ahcc2RR(&-mE*{QNX_d=i75#Ey-PpwVd1E3&V@w-bSA zhr?Q-%{YoGD@qIUvQm@dLhgjtJo>mYHh=HI(}&YzgNUxt$%(1SiOI>y2@DR=z(9X@ zX9uhmQeRtE1|42_N<~3Q{9+z6HveF4WoiU_508338`)rO=fsN-Z}#Co?efRd=W#=l zz1wj`AR0#(&?7SoOS4n6GgA{-EM^S%-^j@D&@c+H-`&*#hr^(d#>Tp;iV^?_OzyCt z6x6FHXw3abj~*`0%wW-zbF;IvGcy1a7CQzIp} zJ%9S>$%|(%@X7YGk-vNW`0;x(YJ$frlhAn63&Ht8((Wa-ZDZJe;JMDv%*;)JAx?o& zVsO2pN6>>qC}e+cS7!$t)&^~Es;jOj&dW|ui3ck{>BJJGbZC8jb!BOB7BjxMG(R^x z4IZ5w$BdwdQGMMASZfQUzPtjtMMTZSME+uB?a9*@Z+14fUcDoH|6miJiiM4dhH&Tk z8~k_kgCo;ZQzHmOWkf_u1){reU~p<-eirC#W_l9bnVOuM7$3&~rpAVchmgqro^F5% z&|h0sUQ&>qnVFHDlii4JOUdkCy|=isvb-?21U%#U*_p}ly@yb!{w@Rp)&d9`+W`kK zMkeyzCtGhe*EV)uy(1tXBHFtDnS!2`34a-go1aGYbi!ch$&SYAyn=cpx_^8YJ2^Wy zKQ|9Jp9Zu~PfY`&CZ;APCV-6&qfrB3yud_ZEsb@RrA7HgC8c0NKw-;#)3NIScR+~0 z_m&qI?k+7XE-d2k>=_Vx5Q*&T>_osiTKnHpQUSMxl8lUyfQ<0XdjdjYN>V(6k4vu^ zm=91s=&7lzurPZA?OSAV@<`)+i=H?dX=jZ3l$^4Tds(AW?#ynbX) zXIEEGCkBs_oPvV#^C!IR7X+jvcrQN?5$=2T^uyh|BoqV>`iHQSQ`4wASTAxG=zFNG z1>QY*e`RTQd}3~KVQG1BX#p7K%nXhvK-4U_ma5RD9>hES-1zP`Sm-o9SsAQCk; zwJ)y?cF z4kuz_0t?gztQ5Bn45NofM$wpwscG=UgXIx)Yi$dBW_509abaNwO!+A+Sn>vkhf#w= zL#W}g@wut7$(g0DuJ*>3{^5bv;&KQCS$_w*{o>>6yI9QB$n^BYY-<&E6;Lp_FxE5J z37=Y?pP!t(dk@&<-30(-ZV}J~&TRl1Km_36zOb0_F|aa?jiJFxFgA(-fMynEX66^c zj@Z+Ly*D?H9l?UhHI5y}g8Mkw!=vb7%oq{|ZSUxWLh7q)AaHndT@6_7v&`azbj>P)I{XL3uNz zx~!oCl49goH83$YfF8q6P0!3tPmQ54U@A<5={W_6Se~C*zz)tV&n*BDQ}ckMIbfQ5 zHiQEMpp1`$p-*7PCcsLG8$DQnk)R9=qS3&rMu)pl{e{`kj^^fG&<=~m;hN9@SzWMPX(;jFF2mr(YU4g9-kTW>gj|6*WS7#6S?(XRy8XQ57%|U{* zx?4+%n>!JMfJOilxE6yb6ad}d-rU-X=?82#Q92f*B7~EYfuGUQ+S=9wuc?7{wl(D^ zq(x;SQHaj2{y{X@geSn983(AQCue6d1HEJ8$cCDMA>=4#96JH#)-2!+M-H$a&=4$$ zW22*B$sHL2``OUIAhN%|3v87LIPfQci&P8zkm~x{#{Be_&W?_*J~-IxMkcUeoPfms zKCp=aZ>pgYQd3{s1c$bD!kZh?Q>)@);a!Nno<8K@@aPx@I}R2*Pyn#$k&ga}5kwyv zjsOyoUGUD~sfB4Qjv=rj;%ot||G;K&{D2t)rtko&zo)0Ov!ksQI3WN{S!qd8VRlJ& z@nC01F9M4O%g)f~3>G!q*NfX_+S^(h>Z+@&%c?3Xs%zoH1KmhyO>I&J4Au&RcXbZ{ zK)?=0fS)o7_Dsy=M1R*H27E*gVt_bAO=(&E;P}Y+6wn-wBQV_oBw)^9uH$SJJv;h10BMsxu0sj;T2vbeCQ zw5YJY7uA7iFHec9=mLHf4AI%!*EcW#%pMdpSVnMu#Xv9Eoxox-1k4ZF)6-m3j|7^- z&GQM|?81S;{lKvVFrmTL)Q__sU=ghl2+&q(Nq$jkYFcpJME~f$b+E!ufhB#YwXO;5 zU%-=XX=lfzSjbuK3$r>9o$F09V>)Me*1!rNLJ>uZ3+RFIdQmJ%5m8I)X{ zl9-(q9}}OHl3(81Ri0hl)X)TJhPJfAaJbq#5MVC0x3|IJojpjPy{R$ez*v7nb4NQ^ zTENB$I79(2eGtrYV9Y~%%iBO-Z+9nfR$3YxD=Wd7CO11ZDLy(jG%VJd;AQyO{NfUJ zqz6)ylMjV9H34csi>!>4#JGsiF#q6`lzvw>g((3!7&9a1>Nw@t`0PK&4`bR3yg^L4oM7W9S=rM%nfzGnriZjAPqp9 zNMd$QVqi>JRXsezGqbv&2zO*FDJv;0DK050E-ESkKf&p~xeX4h2dAa#+S=mG{IZgg z($dnhvWlwes_I&Rx(V6}hrwWN?d|ZrWe^I1)Ps3dUXTxT6%!ue8|drj=T+uHz|=B0 z)YaNrlAcyn3l43irG@#KX(@4Wks-mp{=RNep|*Yzv5E2dHO1xCaiMvI897;*IT;z5 znVD&6>8a@%xC3ZLT4q5`Qfg*KW34dQcA(I7Y!6P=J0WbGOl9PH*5 z85bYz=ja=sk(`vAkdP3ckdT<1l9HO9nU$55os*NB1A<6}1vrX}3k&mdv(u6jqr)P6 zTzpNgUp0wi3OZPlmY(G65eA;fOwCMB%}7m4j*ANiu@)CQdt0lUmdXlO&auiQ7UyJv z*Dc~>q9P(ABf>)i0|G&yAi&Sl-QCOAKOi{7QAf|j!qUVxC^90z+0xhzzyiU8$cV@Y z+*f#5L}XMIQ`e1^N4Ud3yVJd$`=b?E(VNes}Kp-vQ$Y z3JMOz;fsz2@z0QuJN{nQ_O|+$jTDSTxH62c>6)vnUAY+?=pW+k8|W7p=pW?o<>lsR zZ(yK*UPte;GSw5ZlddtL!Qnvx0bU+1PPcAY*@BqWH51b-moHtssHdx^Z*bMp;Ix?9 z!ZSH%~(+$6h&2KNrlU| zygY8Z-?p{0wX!lbGBUWJcTQbJN%^dTl9GbFw6wf}g0hB&s>XRk<4Xp5@?yu?-m@Cp zo0wS`85mwPFg7;4psS;)uBoN1tE;W8t)-)*bzc9%MMERgYalms$yi_KoQkrHw9@et ziW4irj5LhgtfI0qni|SFTIclj&R@J}U}&JLuC6Y`&wJ>w$O%b#Wi>Sw6?F|2wR0+p z%8IfwlHzA1B*agiI4&w8EO?mzu%I9ak4v3ZmXnb>Evck%Mude%R8LP!UrRw%UHtGd zB@JaoB?SdVIcaH05aX1PmXeT>lT%cXQB+n^QBjbSlQ=GR>gbWfT!(p5}+i899;Y&r%wqBpOFE5oRT^#b&#I@l!A=JnG?s4iwFrF z=H=mHwrP`SRs1V)r9U4wv-h+IH`FOZknHcFnLKX~?mSH~=7#kQI zh?mollYoOKF&W-Fibu~DEo;{n20CYVHkQ_(-hcl2{X6{6+q-zX+gnf9b5i1BViHo5 zA_CoRm|GgDN{fqf(=naC>Ip)|`8ALhSXb{527{fMn_XO5Tz$H+`R4umeT2jmbhK1- zOw5e5j9g3)5$iPclvE4=2{i@L=l5^7Up(JGuSwQlR-(c@AVXjkrWj+b`E3U8L9Pcr8(7I zV_TGTq*R6`hb7bCI2jnUCi~P53@dLfT!Xi=nxVoeQK~ z{DLRWh@X*?*0c+Zh|jKU!ujW2D9q&C^2+M^=Ef>GzIK7&8*-?xtqw$f3QB7ln;=b1 zAX3;+2afP<9qldkwUs4>nbEPu2@ywG1{32ft{R*c7N(rMyE6$Hnr$y{D6*g~@$uaL zOviKN7|19bpxZ@N?3;GOaz5FeOZK&784 zWH`GntawID>I9xy1@lhe;A0S+E^vb%MOkx3G(_&da$|=o-`5oRvqJOm1Ge#jWKTms18@yQ*^F(p8q^W#<-_3}U81OkiR8-s-*O zh1m&o9~`)J)m4?%jj-OKp*~oBMR9&+QdDSYXt1ZH!TF1q3@%)<@&Y-+*o;c}(8TNv z7TH!^QdCw0X@!I1;`H77_hwL#9PqDV686Pj5M*JXr67F!`N z&7galOOpeytDP1R5ZR+N-hHo|*QqqC3k8F)pHA7RFuZExuO%Oe%vR zfxUKg4b44yhfhRIi1+6CqlfDo+wbrQNfgy|46a!@IJ<%LvY$UFe%@}ktW7ScN*+7H z$1f;)T3S&Jq`XZnZES6AZs2?^3v<(}Mur#lFX(BjN(nOK-$(bOSKd?XXJ==jC&PQO zIynHVEzZfzF05#PwzW0al^0}#Ku&QTtbYU-F`1fO1SSF^eh;?^s1I--I>^pIhWGl_ z2Vz<_eo=856B9FY>zgj#{=iQU4hjtL^K!jq3l?*bgjZ2f)6mv4yliS=qlD5KePKup{A>_!?O9Bd7Ix6B1kEZ&db(K|ht$pM7Hh1y%eR}h3 zbrziR7a#555s{LS67Bo&`qk?X1mp}H0^kh{=`+XpSg48d2`QNQPo34hbkzj7zJQm& zpb(HR3=azp4)pVIw!d-x>SZG%<13~X*7lChE^h81^X=+#+Zm+d?QMZ$3JB8IR*@0o zXQBA8HZjoCJ3O=ghJcJ3_)fG`WW@NNcXwWFZajJP@c!z`%Id>sJD&;3sDPJ3MF#M^ z$Gz9ZdPw+$xcEsCK2}E3Vs_oa%G%Zryu|>r;BNnAuS0ru{FfCFbNXID$mEx@2ew^GT4t}v{#w3N zfB*T@?Y&xQSUc$8*IxheH4e)6yFfBd@XtcObSwQ8(Kpf3K+GTX`i<*$Tt`3lBZCVM zeJvf}j@)krG?V$#*Dt($;i4TbxhEUf8yMfua=**_${6nUm$EmKz4kb%UwcL%z@GA@ z$bPBo>iTl)d!w$eFD@6Rv8&75NP_&l=RQSf9dguOKBVdognG< zYw6xAUuyRh1t9!D+%K%{wfHtd`ETR=q6HcFH ze)b@ILGuj}2=DEw5f@JQUVZ=vI!7RW*8sG{wfVs`_S%7w0os1j)tAwH!31vaJ%M8h zfW!3)k`lim!lC<8{S%tsLHkyr@I(2v(Kl#PIMG1vZ$tX_Y43?2M*3xt0Md6v01fb6 zzLqbteiHM;#g9;a|M?$1^-I0N&(}C?do=*j7jn$7} zT-_e7FTZ|m@}Ir_iswHo^lxc@Gw?S9e>3p!F`)RtBB2cW`jb>{aej^RpuV za_@inf$xHUpynH(zuejX{DH4Td}ZSYTE4LJKNs-Vdicf;(8?G6e1q}-4V=FQ{_oa* zGw?S9e>3nm1AjB{|9b}hQ@-z?Ci=e((0>~q*+0$Xf2LvQe@4uol_D?qXIuVf+Wo1+ z+<(x<{*TVz|LzFnW&hnL|8LYM5BT|0D*L|?|GQr05&tAa@%7d}`1QNK{;=Y&3>Hu$ z_e1*R8?rAki+_OPUseAC3fI?f0m;XM}!j`s4L?2>-0nAKU|3 zoqvc&PX0^I?t8X#@59&B;J4h`AN2V@srm`ePh5aJtJH64)*mr_O+w=Gi+kzC@8y32 zd$W?>|y>|0Q9{l{t&^RuKeTC{80P7r>}M26#@(r2k>k8!pol) z`@hui2VTG9`l_P;B?+9-zqI^W*dJW&HT$jpU-$n{Tl|55 z?^QpF`6uoEM}YSF{f6+L2>J83ex~uC4*r*$zsdNC;Xg0>k6M0}@#WU<1pZL*_2Ipm zKkDdzr|vg_KlJwtte*h<0h<3!c)u6@2Q~jYL;nlC`~e1B)nDl0@1}o_f&T{&sbw#C zUd)^IJ0yz3#kJLKt{#K2y15uuySiE3=IUm3o2#2OI)&)bbDr}&r@#OI7ve0eoj5Te>518r@}4+xSgw)l#c5WhQ;yp+mtqM3i=>nUyc``! zv%3zL-dlL2(0|r=rJHCrV!VTGrb!x-=p8te$~BTkhBrqIb2r(Pr$X>*2n<2HrlC61N=%byu^hT(YA|g}gVUSp31xc|UC< zRUk}hss_hPvjZ0Ug)AIMQgKhHJ-g|odO?LJ)s7^i|E-W`v7~PAlaaK?40Y>RjyU&# zBv*tZn*+fUt_v-;5AJ(v4Ul)rih(IJ&Jbso58s2u5Wkj!0MTARiHT^>?6*GCMz9&R z)lrPq6M{FyMUAZ=7`&{v#Gd%_7G~Pp}#Tkzf1_gki3C0}dB=`>q~y*R)xn zgs0JT8+cxm_Nk!X#iVSO`&GbLy&=oPl|Q-TW}=dk5$lTs_qoqTilA?(TrP;4UaV0y zBw03;Q&b-2lvD_>(771u-tmi2a5d2F#1+P(w<}%p(2cOK50eupE+o2fj$a$6=&qGG ztr&9TBkZ{UEzmqtxZScLWp~DSEf*en(7^&Rpooj;n{qK9R*PE0rz~I#^6sH50GvYc zkTrU|58tUaga|E!oYSzp_xV~B(3cja%Zt!?_&X=ZqE=0kMbV9*QY;i=&O|G`9qntp zY~WJ{>!5y22Fzv~b8O>G|5pvM9xip!C4q~splPlODQ%TXET$hU58aG+S^09fa@(|3 zP{AO1c#^N007@%o$7{=Pt4IXxq|9C+kgXY6j}LYi-_U2AS&`c(aHWe!!P5V;2#Q!#BSBIcy$*eF?9cVqR2 z-KaH`?AfPdde%gn6Z-(G>{(Nqyd}yVKlIF^)n?Rg!ssTsbzAih`e)F{^OrWUhL`ny z9I(Y0@AESGO__w-?nZ+q>7yyk#~BAnLAI`@9Q6>G6j=Pk?Vmc+{GQg zduZb-Xcp+El+_3fG|1%WB^DJ0hx)=(^aNR#KnKHnOl(9=fd53K(tOdBD3^G70FcE=}o05PrE&%gJipo!!8G zAESB;Sgum>#YQoncG$y+ytD`r#z-+-sV^uYgFwl@pFIVK8wXwV3+DzOlDHu z$nZjvlIW*M07+7+?0K6Zw^-rsXVgEqtU?NsFBDu&ZK8+%)`Ak%vXzlLMWID9m}!`M zXIjxL(Lv_R+&i+8>~peaV_<$(j^fsm4zu)>XGOF*4-^`N{=)0I0b4n?*f}Pd+P)f| zO~z>jnmJ65;lIhrK-J`E9WeE@3h&!T##@;zY5Q=nL+K0}yv3r%;IRiz>t&rD?0tQY zB_>fvy>mdjJvu&cw#{pO=oDu{g4Z}Wk^9s!Xc8;IqVXy52SYALrj)hd{4Dc*-?=&i zm@Q8oFi+J$joab_xbf}tUB$hcb!50dvf-#*TJ*v5OSX-pGQhf!XuMsQFlzh_J(i^TrUPrFvJv~< zXKoB(&ihH>{e-MABatk3McjC)!-LA*<$R7??)h0y36m}Z&9kF&i%n?}Dp9mhllj$l ze@88PEJ@*HglQ^`3|!+^Z7Il@pAO*|VxA^+*+`{=AKw8#RINRL0^~;?nA1-L+doOY zzzpQ?ws2OfLy39Wui(ov8rx_%*JwBN(>@}BYQgEx;b+((UTFPZ|+fpp_$EMJW7x7LGsHZl9ngJC?G>PA`) z?j+v8w2bp_fh*PM&)__??>*v`QLm4^zmXkft4(t$G`Kq9a>igJ zIg9PMaDhH;l4i|DP4}G;@vL?ez;rfq*wy2i_Vk05V+*e4lvj`qz5W4r3#&X01WpC9 zu-`E?R~}Maq)wy5rYONCPSVIyz%M+qe1dmidzi(HOMqN#FQVn0Qc zjUtKs6n@*pLv&Dr@A!G9DG@AIM1|l=1_PpLI$XjE(n7yzTw0@318JXutnGd@p}Z^8 zO_s;iiQjZ+oDbpw>LH}GA%df?w3r45huBJP(~1Pzi1D7LYURV3q!QzYQICUV4L!Dw zoJeE|q;o4iG9{=1uO+r$4!F41lr-a3fRzTgZ>u1!lOxnT51MdRJ}E!Dml@(efsUvv zqoPf@dBXx)s@CE~F6x-^M~>xLPwp9=%%u97q|D1+GTDOr1kah?ehU@h{&>;|KJ&v1X{O(0>1|S)$I#VwpP9-gFX>kl@lL8`a4J$NEgChe zI7bX^!xL}&q*TbJ>d5IQ#oeK(lXONJ=kAWtGqRe4>~~zavu+Du5U60_+Bx(KR;g%Pk_b2P6LO%MX#oxE@Xv12#Cd6RW{D-3T`3} z=!X-)vL>=pfp)?dj@zR~mF2i60_LyiEp_SUE}bu@9?!PWI5QfKqsDOvwW^3Wui3o( zasWL^g?G!DZK0kq#W8;vPbq5RacFa960glUR?|eI7cEbKKL*24) zP47E%V?AHS&4EnvGihY&@tzTQJmBQNnXJXlxTeD@4#u4&^B<>ml@(r7k0@HH0O|qD zoNgt3pmi$MunzuD{Kajd$wg!S-5v145FWittppDea}!UD}Vm9r$TQ)z{1b}NNf)`Dd!iha9Y`x$0hMo zfKm&y>1oVLOwPpBfYmOXSf4v(QnzuueFVTeW+uU&s%n6^(IT4HleSJ^mQ2^7F`msq zQXT;tS$X{_?V9A1mf3XF!+n-%;VIB#H;HI|f)0{FQ>In;{!Fghm94Ft_pnP%Wqc3| zV-f-F-{)EWz9)haVFZPFKQVfPV8TV=?iq&m!hOyJA~nC`)+hWZ&pBlVx$Uw{+}%}x zS8UTIgbkVXL+s&NzL_mb)K)AR{rQgDE!gHAP05HLg*feEllEf;rfQ$DYV+*hg_09` z_{-6o&1k@m9sGtPVRXAT+tbn6oXLjR1dUkT()KpCJjhi|=8t{0fjL>v_jvp}0vYt1 zRnzm_3cUCqN4Trdj9eP~Ib}Qm_{ZAG-s-*-w|D*v3xv#W%aHJ5-^#BBpUl zQ5#l0D~k8_C0-Nt$=O_0?xilFPDi~gJpR(&ZmF}vTB{Bcz1Cpa=W@d>D!f}?uMDi? z-nneb&_W+M!Dng1Ist(1tzb|9df*AhTZfPIOfYX)pjrOj>y;a>lVDXHL+ot4{nAMn znL2WXQu|41AUTpq>Kr*SF7*kPsWB&!GFZ|PB}N3`&+{y-ue-O?aZ;Y6Pig5JPH1W6 z5+RF7bw5b#4XIT^Z+ADY11IUFDwsEETFmknAsG4XRxKrN9n%9?y(q;PD?XW?NdJxy z?XMPiUDr^ViqmA8y0qtoy@qrK=EPlXTMcikJOk2)R*nv9w55CfdbMkZ6#S2+zIUZZ{BcNxu=3NystiQR_o;RgWi7 z7F3M*c4TG)GGh1#3Ntd4gT!$D*Ls1{E+Q_SCDv1j+5K)!x;M%bD~v#N)!{O^E^Aj} zNjrVlVeiVtbDke?4NY7d(jT^j-HW1?)zO+$t(QBwSq{-hMW5C%I5T~2K~X{zwx*OV z1Za9x4o1B(W;g^rR!T>_qY2{*Vog0odS20>$K2o9tsB0dlW@}^8tQ-LE8O$=t&V<8)YG(^O(3txWHN&?dMe*Rdp=ig3qK-iY_yUrNttqj+^WOPYwnDt zFxNJabmLA2hkU(r>eX)cyXXC&MR(_p=T5moC$I7-#(h~phZlcJeoCAri3_#2^$fkK z?sAaVNTlFcSpfcsbWGD5wgcAHX4|{2aut|#fo~2m zC|n_GpBDtLCcRLTWj7V9Qm9{ol=MK!E^N1~^osmwmF^a$Dx`tOBWbI)_ri471 zbe-;d=&to~+_!plGieX0D*a0hiPRjr_58<^_X<*l7-WZF5%qi)>;+O1~Nl*S)vB-{kRg zpk8(lfe4e0WG^uto3Nr`fB^9FwH=(nf+<6d#?6SUP&=($*-vwXb2V9LvJ{kg3n~&{ zX27ndJ*jZ^LoqqN6q=WMEDo`k_&>#q{=W0<#sKi^Nxo)8=1a`t=`bDT<$%NKOPmMq zsUy&@JbGOfB~ys*eX27l#pK4>u&?PZEwHCHwo=*57=T8@Hmc!xS}eg{?lI}=%yI9t zS%(Lrtg{BBIV_!>E7eK6n2rX00G249jG#Od`B(Kc&z!ej0`|vciNLWwBa15bHd?!= ziD0Yo?pei@T6-5P44fNH-rEG)g#M9zpLwaJxu@FAX~=~aW>MtXbiuqE&0GVfn!ls- zMxxo2EXPd8P<)8SEGII~=88SbSgibj(OJfi7qwJK%e$SnQ0JUgb1b=LEU(X$5j6R# zE}+}0@!(1RTXF27@NJyG+#=@6r0Z15oIp~g$z!l;qeRv@k85fPb}~-M{XmjP;o~?w zYL@19z?|*V^J<}r1{Fj7&d@m2nx%ht6S7mkx8GZi3GkL&kHB!fIS@l`EfFj~*tmu7 z>TrV!fxCtFMW|N?*UcAd+N884fvWZLdi(+G1ygQLPThgCOE;Xo4RO}CA^YN&I>GyF z{?Qe3@KfK4TKdDlAXbX~lyi`6naRbaX;5#YN#uc)7dl~C^8o*2(tDaH1qErEc270y zNmS8Iw`A-P^0(DPw(3kT`54ux5w=3987hv8$mwL5BAc&$F9g!P%EL_$xA%7p86s!! z7Ri+hOY0MpAaBFc)%V@qAD}GndTV;@RGn0e6~RVKmt!(nRA9g@@*?-TrG8UW6_Ns_ zi#^myZO5JM9z+XLsz7G~4!(gu>`lf1_)Ewg0A;2hdnhee`K}jhfvjftwfl^^j~Fi} zP8dG=jh!Bmk;}<}ro5eTazm9tYm*+b4Sg3)6&5qyD>l8{1}czx$c{6qNV{>mHw6>QQQ? zls=6#irU(cN#dr$Rmx4%pyzU$(Sa9yu7ldAr$D^1Y`ye}#&%gHR@MC+Y-SnGq}FHB zQW9Xkactbq@bL5nm-~3{b@V%Bp~B_R!|5`S&ot;TVh65zDxKD$Fp3P>T@JYY&ADlA zu)?)7o4QmU%p$8U1Z_#xuYb^yxCl!j*W*ePkaWpacN(|FQoG+Z>mA{w?icsjAY3w* zQ#jZk+sZ#(S@p9z+i9A}1+h*o9={0!j#N3}&z3iQT0VWHMwsb}S!kkUCVfK!XV1v+ z0sm|+wYy+9`3XeX2yJ?*8&mq~3u&@f3?KQJwYhvXg^3e?{occATcgoFZmcxX9DU=w zT7(?I`Nn^Q_cnf_@-i<~M%uPeePcwta^2{Vz0pB{2N_o+$(UI{xpxM&#?V3hvUB!( zq&w;B@xT-A+ERigJ_|qfm=ssVzD$A~DZy@0jcxRFoj^;ZmjdhyO=2zc{fV8$O7j?FB`+sf_GG4&M#-3diGCgolJ8m z=We2^bjaA#5}LIPj|_lJ4bce+4u$Adp6+}zhkcZ&hTHqy>ly(dkU?}$Kmw05Z9EgM z>EclAz*-SC<2|_hs5}KQ37mKn6r3;Ap2?}vP;uCo6Gt>fkPRz#>Sl6Fs%@^!;CMCl z!?Gq0OE89>tqJ#h#MS!P&4ZA0 z5{FI4c<_MX#*l(9m+YPTPDq06cxEfS5ogI`m+L^<{aKIPROnne4wnX#$9j*NJ<`9A zlI&KQX2dU5!Z_f(_sWjCpuxv^tUKJuHy}#J4L8;8{-S5yXFqQ?0i{*sVa$x#*u?bw z(ua;Gd&lqRFYaWOw#J_4o_9NCwO`iJ)n9hGWfjM$p-e2_CQgN;PaztSvdARQK0#+V zvT2&&(c|PRECin7|KT^jOAj-8i48xz;NNmnQDaMZ&SAqJG)nW`OfPj<&GR3CqbqKz z%l%J#lfnuIAIH0OV8E(v73I6`H03t_ z+5_C?>=;`eX#f`(Vriw_vBg&)=z`d~tTe6VD4`EKPERY?o=ogY=agYG(dnDk@zT`K z+QaO1=)04A`1_-8Tt+lP{&WRfTtW*0BcRY4N=xZ11vj@u8--oMxYzImP~t#L8ew}1De#!xD#dgz>-bn~6`kBYdX2a_vISbS#vBuEf;;1Zke!D0u zL=~1yBw_S^rBu<>E!b4jw%4*;XvL?*x@$n(*M^362QV90dg25U(6ih1A?9u>5M=gt ziHvEyYz*R{s7DzcF85N}`TD(K&qQdr=Sq!tK=<1XTaU^2LYdWa!E;G}x2kzMIY3&F z=Y>tEthSAHCDmr1zbiUEE)QMA^ZG$ykoXg-yv8&jVca`(41wBbk4~kKm(m!?>0X>6 zWe;R1kusHCr0LrCq&ysX~? zR+k?v@u{eWmclyLWjf-TK5VV|Y1x_x zPbJY%T*#mmZ2;3S;k<^;uOHOFo3&NaI^AVF{uteiZgaxtV07pcOisD-DLWkCsX7X^ zz4tSI=`em0Kue^8&dcJ-5vF#zLCW%hz63VBE%Y zI&MId&lO2?8zG9#w8^9}IrUJ)=_82_#ynPN@O(-e%w{0n=1`?0aCs=Ov8+PTuI=QY zO&7^j>g5g!gw9*umX-0(Wv`gz4WRg06o=?dMwBU#uxTA*xd8(%9D;1#2tF6wZZs;&bZ@HAmb6dN$FByZ71Il$y^0byec+9w**p?7L+_-tW zWGDtp$I6}aS9zPc)RqegYL$beW@JcDuPd7*^W z(Zy8-^4oczJ5@jVTuq<#uD`L807ILwR4T0d)ElkAeW_RB!pma14*4bd5h;cn^^q)t z0?IA|S6r0KXE-^cPDn0aqn`)A>kcK|<+uIlx5w>=NC;J;ZSmbL2k=zy>&(^+YE*&7 zhZB-=PlwWsNo5y2W|3pj62ym=!mE)8IXhCxw=xEXH-5rB*e^e^I`iC*Px&Wg~Y#MNySEe~Uc|U=uu+Ubp z=qBVS;ra>m5{YFblYihM+j=|G#U*NkS8MB)PLH& z=)J~LpyReKaiMDAj_g30+T{kB9HaV$y*Esj9eCVMz)pT2XKd)wQWsEF(3n}!D#5o6=h`XgJqou@2u;XfCafbwk!>lZhiLOP z>`3`kOR8iWa0(+%UauPP>oY6I))?0N zdw3KB7s8{elhh;}FnYjLf~MfXc0-BIg4VA6KbyA*PI)K}6)16aT3cJw&O|&*z|xuG zjTE7?c@)rB!N6<06yRp{<>k&OIrPLowr{jB8bmbEKgP;$r1m0a@I$_P=2qI~zKO1% z8oi)VxsfRUG6X%+J>PeIy(5|{YiZ+bVZm8?61_x+ZEFNF@ODYrpsTU&UIQZMkCgRG z#Q4;HMtChwpK2b+W{qbqYJcPH#yk0qoX#5^V;av1#xMY4qNh-2x2;+^$rDZG^!UBH0P|sv|j#6I{wjk=%{Qkz+I?^L=8E+i+jnXFu}#A zQYlWxR!G=?4XlqNr!Vs;3TP3^o#)*%H_|G}n{Dxycc^WwDf__{cX<&+1RPqQ(3!}@ zO*x|qRxMIZP8L@I7lJ_-j{N+K8&{Kat2Q_}x)d=00jb46jCk^}#4{x&%020E>=TP< zt5wHjVSeElc5YS8O5J1+CmEq7gFF!V6^Q15t}W|#Q7_&fEzPP?GsiN{hAnO^*x-VQ zW7nHP?+tZ3LV|eZ-)ZqttI_H1nk!(quEru0#tX;q?X-1R3~M<>X4Z>I1^XN=GPcW} zUynqfJ!B|2qHm@)0VVl*j7F460K6z4=sedEQ!$y6gazm4R7TsBicR(8-ym``pdkpdV=%wPkHicLb5Uh-gJ)gZYmE8etC)<+$6lG{-*tc z)JypF^6xDxy(rO`S3JsCXL!(Jy_R7Fbqu0dIO7?E!Vcqf$qZf5RrDmz&6AEG!0dz|N|Hi`v! zbyn&%L53vM^dwfyB6W$6B?r{sSR8s--uHw{Hu)^brUm_s62Kfac+CfdGe&v)@3Hf; z)-}k!d)@Zha^!&rkwfbuYtG1;o3`$PcPO7sQl^rO(v?KeL$PSC-G-%om@S!5hF_wF zyNf+5O8HGk62OypL?82(GlcT}nWzl0_XIYuv|=bt<)TSs%O(~U!?i34H(QC`}RforF%J=3n2BZ7b1lj5LpQ5-hv z#GE9HA393oqLl5&&D^QWA=q~^iaop8hdYKX(Vi`7LW5#-RY(3dV4HsPu8g$MEDH!9 zezy~>0=&TxToQR?n{b{^_om(~syjWdR`G63B!wD(kw`F~=92=B^oPaQtf^aeT|kH9 z#7ig4ry>&**t0Aayj(oIAxTuR75a) z;sie;Kah=#@rrlD4VmGG3^r`PU480@=MzqtB$*c!NN-_d_M}Y7sa7%GMvY~)( zV6C%K=OLomo+xO`4rw>&ldeSDRF>UvEw@(AvPtA0E^qpxTwMU_NzN1Lwmxi(p7$ms zs4Ut;x+`T|M=X>>H?AA!h#JoTjX-k0Fx_XQ1+#Q{Bs>p%R9{4QakdJ@+mfH9#*7>t zOO42HqYQtH1uf+1X%(|$Oa__i-7x|Xem+Stn)VgwQhb#w z95K0tcM@&2r`!I>VA3}d9tJfBb^tv1G~5*!Md(14|HEAi9BQ~qo;_GYw4$7VgOq`N;OMiXzx06 zc3cbvMV^#{LUSLP5INl(HZPu=MLSF4Vo#o9m(dlG!ln3R@?v=O0kTC&I~}u$5J77M z8Y-v{BEux@l%OrWasii21PL94$W^h6(H@q*mne58zigJ?q|FfJpP4r(kv(HN_d@x{ zyTul${24?R2*5cWrxjfT7KIPemIM8Z+vE2f!)6+_1lVf@czvL7Z^1>Qq02xID7*PQ zC0(jSFy z=@^e|Gl$#fi-+7aHjzu~_GSxV+e}8)f?Uls33^8s&V9sz(;4i)pGNQ`reDl>T&7Qg zOm5!~WP6DBZSb|sZIqf z(DseZIX4`f}04^=i-OH<@8C zFLX|b-6{#~#V%=D?y{Os!qvUF7pQ&lh5+p7`NQ2IuPE8v#iy1IUam`>+#riw*SP;@ zK>wc+OjY(7qa{Edj{v#X$5Vmv_tU&bh@|b8bs-oM?&cWX_RCJr2cndYy zrtX*{@H?jKAeM@E#lhn0>S}r@{jfKBDAKV1W5}9F+@)<5buwKM&xR%bZ2o5m)x*xe zDFy-?aesVSrQqj7R%+M&rxP1do*M7-8EW#E9Oxt6z7K&lI6ea)PL4FJ~=n)F4}}B zWi2HoJKFVvHc~_uvixxTRB7s(PD`w+$gaD;p$xY4HsBs{3hCd^SsJWmBFmSN8}V0v zxt2YqN1pG)X5m15{^FA}?vi)fAO2Y9Uo)LTEz}i7@`20T3jR10JikJ|eyA5Qo9i+2 zJ?1Qmmd5y`af;39cHU!Mx-}))}N(&?ZQ8$gVBY&@By~7 zGO(-X&@P+D(-|GJB>Y4T90$u9AmET~&GWGMXje_>xe|bNP?X#~>bO-RJ8sNqsEWqcRho{5Y{#;&d zeMMgMxhN{$+t5JnhyVKr&dX^)Rxc;9F;(#8!E;XPc%bU*bqDlg!?ujcug_fg!O14R z^HGd+G_I@D9_Qb;f{l?Igz#-Pe2jkN4VHEQne>VG8l5>TRgHEQmlE2mXrjkta>L~+ zjf51LWiyJEWDIy21Dt;-g={cBv#k~DG|YbR86%#qFu{T72=Tn-*>d|;Hewyr++*#O z^=z{;nuHZaN_PLHsCl)lARV_-DbrfX=dvZog;dg`U)?~NE%V^)xh;KU{5UvmI2AlV zw-od#KaS3(z;R<(TPWFe6$}&jF;4tTn!}#Y6aNp^=3rM|RltU|nm+A?5qN-BAbrh0 zR$Q(SUnR8?HhoW)4zkLYP8CAJ(3m?AwlPj0d@_GQpUDhE|BKgAddyDUvKTfWH%XBe zPnwbg{l*g7Q^9-uwc-3?#wo;+1QDw7mfg#IUpCMDg5YHAdWAYlm?$@wF|NUCrc^4m ze#TI!gyJJKbZMh@|2G%|^FPPgmQ3;7ATd3f3c=$C4`{%*Lq4L&$xx7u1y25|?~T`YW*AVHOn6Iomes_=xd~SDSGwYegeKPoB-r+gy z&tBSVgWX>OIk*H9R0aL0JQm572xKJ3>w=Z8q8!!Te+5$C$UiHi{-pT(*9fMN8#u>5XQ+5*TfX6(^;Tp!esF?3lUTK}%^_@}1uDL(4)jmK`^hvY zg2w7Rwwj$yAq}Eakq<8cTZK*PZ3%{H%m) zi|m)RjJQ`W_&kVig>vD1#EGXgYX0NpLtCutR{v+)I76AmT3Q}yiFTXrt%~+Fjp496 z$>fbq`hdDYfw~O}xyA^*bV?vecBi9bfuW|@mmo(%TqsJfk4BR{I9SsYsA)4h`VWgEt;W>CqR)uy6O6okGluKgDcB7~9s@Bca{-?ysHPgI1@ zy8o1^*zv@nu#*0Kz81Do8Tj|`DaJ82EcN3((YI{p*1a$_(O?BTG4MVn9e7lBZVe70q8-Eryl0gTGuW{7YKt z&iGHttMn{DEyN9=uTy)ePNBfHO(qzK3+qrmg=SJX?~tiQ72G%|nC?=-L;sP`r#D^B zB?`jla&K{*Pzk1xi|M))ou=zK*+Lq%VIV6<=O`2`m zVULpTVelII-x=#VcIoTYc-<22^!=n_-Am`Jt7PnXGQDam*w~eCO`{tqihJ%|Hbm2{ z8TF02tm|_QWkUKepUPdtcZ&iY1%i!shqL0iOcF4hTI+UzNmaSF{!IR>kHaGkI+yyd z<~Ox3Ur-W#vPq zQDeXzDB<9`^Nlo3<~kO}+X))tXyl!k46qgJoY>9>Z)`5M+2U))B76~XVm3|@_(B~o z!C2J_iu8(se*SaXYC5At;V5Rwk>cx|`i-*2YIHpn&4({C$lkD9d78CDQB#R&AOG~; z6Qo7i=;mc+-s88JB?qh421#3ZwRx>G{?@;SpPmRH>k=o4$0*;*Q|WYTtf(YKQ-+6c zjuLDg2sWewpIaJ5wW;pc6Y}`aUSkUSn?SJVlOY|_at-ch8%*Om`l0>TfkdNoGhD?e zw}yjtUXiKsEZEktxYCG+bvjh;9E^&o zXjN;3z4Ssb;|Jo~Ld27s#Ktj4wH#2uRc|z#aH)xVjPv2d7>{+CAlF##s)Ay>+3r}qA-Rk_V& z_-$O}Bgfysyp=!Va$S4h83h7RhSf2(*{Pj?!Q`Ke6JWJzb_!*4wkz{@#oLH}g0IMG z%MGCo9%-W*3!k*(QC5FGRoNxJS7A5su%4YTu$+S{yxa*V}VP63Uvjd7Ysmj zsenQY4KhNSR$#476ZltHof4#W(L^t`GI@!Jx862;h>645`Sf6IOMS0k?dEOl!5 z{re4Or(*lyE$iB++xe~*cXJtU9s#}4v_y42`T*fJ$4Ixkb;&IZ92B<5!_-9#;JxhU zR}9jAg{zKnXW;E##`;18z-QxS?Z1B?DnE?sh|_D;uO|$iW+bc6Cy#!|#&?{N*)&ZF z8T?jBUh6AFlpI4%@pOmdx*Bygd$TbK0W*;!`qxRwQ z;Zivn-hG`W)>xu#=yU&%M1-@@F{P~UU_gZbbprkOsTySgJmL$QzYfLza{Tab9>s^d zGw#-pm=*q@si?RZj;}ZK_~5L#Nun)688NuuoESy#*Sl;|CaM1V>h$(Ta`Uu!CJ^WIl0`WI5REYyaHFJqmL!`)}w2G4+a1_h9rb{fUs<02-G>DRC6SFL8eb z;3?M?VU+j!uh@mja6VU99c)9G%H^1O>`ea43;Y38MU|dM`Vo?$bIT8pC_;&}b$@jm z_%|8Hk5SCx%!x=__8wR2olv?sj3AO$W54uc>`(H$hN7vp`nYF>wQDeZ^pas(wV>rR6Gu>sITGHb$Myo!V=Xuuwp)t3W zT8r|Z%i}sKXGzN9nLpwT%=6W)Kq6FXl8t|c7X>ho*mobf&!f~@etiURF<$1Y4{Q+X z?z~7KyJ=EwAau%Qm~L#f7sFyoUr9W4)>O{$i^Fu^2^6nbS#KL2Y2yAkr| z-XcU``cZmY#hn0JhoM6P`o2nhXv&71(^yewTOdY~pZtevCRke$8Vyb^WaA!wP=7L} z=IG|GJ{~NI&bOD=;5-%GFhFx~^B)>byb>EN116_g$OFObYJV{tJfSSgZsJwcOi{wI)P zlAjScOkI#vo92aVu6_U3{^ytD#w`jD$RLNDgYFE$k7N8%t22hdKNYyX=)CzbMd6b= zA8}gu{nGmh<=Osr-%9mUB=Zl-R@=_B z9~^&1&*n~BdwFj7KC?n88V!GTln+TeiN`a`_g)_gtYvKkDI9^x_@_vAfFQ2#lcUBa z2~y`~O4C(?thGzd*zMwH5wnJL&%w8?Q}qYa0Gr<0l0BgN%Kh|?+8cMYx9XSvg2S?*<|C;I9g_*C z6kylZ+|C~)ZL*^@Pazj%S6^VS4UzsP^H-+_?8l6NY0}mrABuiJJMk$36l}99`TMvdv$K#gKL^++>9Y9`bgbpl3BCQ_6(}mZ zB&MBNgU(WZHQGUp^s?-izfe9Dn_Gr9%5qM(0nPy%6r7VUnf8oduJHy9nGCwI`U99N zW^%<7uHZq@FG(1w0&s!WQokZ`?=XSyeiH+|Gljh>)34fpO7fC)7Kki2(>wuPy6Xp} zK$SR;V#%yAU?j64?SLzv^K*D|7VZPlbuPh8O3cB8_RNx08+M)#wzQne`7xuQc{Q<#uL?t@5WUOnZ~6w3G_O6dopZ6xQ(neNSiAPZ12ZV{`?l zVCd+1{SB!`C06q4%9uF*^NdwL3+G{jGBZuq-wcr>9ADN`#ZvZ?RpmxqE$QNxV@mR) zEha)gI-GwIq{IfJHqne<&*O$=`Y{Cd3Z=4y4yYVO9S8qq3K65bBX71*Q`@ef3jCAm z?MLn8caWWo+3Y){wesY<5S1K`VHDHla`ND-{NP$yl)#=(nO;RZSyU(9-7m};N$Z4M|s13%_0L zNZF${>rRtPhqgJ_YJD0$rplHn(XHeEIRk-AuLB4wvn-EWTghrklnycwh{<~oMw>&z zT0#?da|^>azPIE@ZV$A!uG}ovRXNwS$$xzwza~nF@sMKm)a}WI1nEESXfdhxok`xP z0aG*aozw5zGWsdg1w67Ja70CHQfa0r2-oA9XHz%r3tlHURaT7U05&^>FgnB@-pOK& z10pce1w|A^iUvXF_4`v;q35GRV5EC`zd~y5AO5ZXw1Qsd|2=QH4>(3XmJOmrA4wgL zoi(=7i4P%t&RSHgDWKt~N1lYeEumz+QQuBNF~$17mDdt%Z1DXsyhH^)v)-6id90~@ zuDYE)9}6WcyjldL&3O|7URWUK&|utmcEn^@Lg{ z1Oq>QJu6~<1Oc)>u!rtcUevx~A^#if_g}=9L8TCXfqkF|+DI&Q6d4^<<=S3Oc31j3 z{As)Bp!wp%SL59)W4?*+gs*`$KKEtmJaP{*_L(;#2?(M3=8)F1FW6o4TWGy6j-X$e z&&yiC`8^l`q4z86a>M60@lIiQTj%`elx|4&SFzxMsJ<7Oz4lmR8b5tSsGqQ~Z)3%* z4O!6Nf?E*a1Uijvl%4N~WCYw*qI3M*o;nyK=9gE@-hY)5;Mw-ok4EbA3JG-AHSdy` z2jctxwEuuY>%<35r;5rnd4M;49ORZzv3sE>jWo;U0V$rUc`}<@s{XknMh#Z1bbOip zbCKbsr6e9Yo$x)dJgV9GVZHr_iF;Pae912?Yv=VuUO?%P7 zIe+#Qj2uy42;8v;zSDrK9TRU6BEZ3tS9YzZ83s4;>7CgG3PeofL< zvtz|`)*?i$G1HBzGjYwZirwC$6NIzyY)tm6O3tspo!xAYX!#dgFu@%eFzm>;+~ zE)GkbVHwfcCFeX*gog=)tX5%zjWH(kh!3r)u%Prma_LT(mLk85Y4R~geb`edQ4=>! zztY-@8L6VM9D}#tH6!NZOPmcBeDXm;TD56$bL*BgLwgdALpwuXj%u-Hc*Ifl3Vkq|Jw4V^ zb7XoDiQD0K9C9I60RB|yx2TnK9YWdKUNo5ZdHUJrsSos6;o}-~eJE}m8=M+E5vBWs zyr=&A`ay;%HL_SGXln7R3T$1=Ev5y2^>1`dj8`XGuby5i{bBH{b4H&<+EE3pY(&cK zmCyS_NA0aohX~5s+~n#bMrA}Cw15*5r-`TGh!p58F-Vu`l9gIbV-^bR_uIl@R@?Fu z6u&axj2r&YY)p97-%|CWQ5!XGsqP#^dqLmFe1|;VoAUOxgh@g@c5fG6mC?XO>1Vuo}Ip>^n&Y1y*I1D)qFbo+ai6SZ@C?JRk z{(D&6TUT#)e|PVN=Y6gjhxvA@PghlUS6B5QHD|}1>kJg{K3umfnDA5G@j926WNP8* zaJy9M8%CoVaS%thj8!>-gc3gqCF&j+)Zir>h~4JGEbKH zr3FJ;U3Om}j(MoDX!>Kh3M4q+4Sp01QRf^;(5Cs6D(nfD;9pg@oiIaXTgo+KO;KgL zkBN(AU~e7^^oPxEIKgGjcJIHFUP88zJ)}3$ZZsCY&!}Ay>hugd&3k7J8i;wo>&!eG z&K3!A4~Fvk`3jZ8bDH|vXw&xXnh#mAQ|L`-S*OCruq9Th+_vbldgSrPc^#}tEkgRG z-VO8O)X$&O;Z-o$GO1C2)^6ssUQu?J96^h>8X6(bcILjf`W82eR8vMHJv6hpsy)uV zi)PTy?xN<_OM)}L7TR|eU`fgq=}Bx_f+dt&Qi|=D1Y8!i2!E7yK4l#s?#GC;_y&=M40p)rGvYG9eQdyq?Yc;V``%}jY+S>Fw zUQhCT2Lf0RQ}9>u2q;1q&mcz1s$hb+tuaqgwzX9&WXKoNOG&SGl(lJ#lIKv`L~R<6 zmvuxYRLJa2^dyyh^Hdh~lia%x)Wj>`aihv+zP<mcvPh9mLJDo;F(~n}W{cN`yj+!r>B_lL5D`5c>h!!7f5wR9T0^(UF}Ws+`p-Zx)f?72oO7VnE=tzwwn)WGx(@<(#3{!M8TrITC!DeLW~@xD`trQ*iXAFA zsIW>(3&N^|E*ZU>J@9cSJcFx5&c81j&?>G zitDx2=57@cfrA!3i4X5YQDaz&BF*Gk@T~Nyb$t@vmlWRK3yN;;yP7EAYDcqe|=)w`hoA;nJHuyv|?GxsE+B}m=UX*C_$>jXH7-o(^2z|RHcR+$;g?vYP|(h zPy>HW!5BWoMZ4NIhj-(PSSC~`?^=x7Mv5y~YPD|o6Fw<0M*Hhbo&Hk9%1iraa_q9t z$adx4K=MW~pZ7Gg@L3J+OUZpG=wiN`H}Qr|k`YO$Z`+PnqjUmBS@>>7Q#u?R3DHdF4xaNzuK^wzoN%6Y& z&`HQce4(W9EX3=&mN;{esP{YRReSZl&skFTxd>K9!gLjFnhmVpI-Vsp&RZNAPd$xc z?Sn5pC`*JPnTyVc?8H6moDRq0Yp_)V7co8#a}GZudJs7q!rhv1Q*#kUOj%Oc4qTL) zXRW3%oC5jCJiojgzUy3?QYW#i;xF{})>-@-Ru1=s$@H*}&m|Y>u_~6HZR%zYg)|ya zuWe<#VAtoq?=@KRfVw-@$}4Gn*Tm2cZx7~M(go+6(8i6fT#KmX%BEl|G#wrh3lP_- zs;E`F)izeDJ)LS z6(@;a^jR>0HNCI;_#@mlnt6&$cxK|<=UL|BCxPYklmpy>>2L7#HEt&`Kyx-ee0bi# z8ZQ&0WU9a!M@-?=FsF>Myw>t^^!2m%`0kKv=G9~zN%|jxbWPbW=D4`2zf&(zyWSqq zcQuY4t5Ww8Z<5xlstQaVI``l&hPhj}A3%LyH4t9^fNwXqEs%bArSDo$1(~D^r^i8n zXD$vu=M2u9;8xo8Ui{04q46@d)NMCoT72of9^48F<kp-GtxY=)yQ*Fr`)gf(BMI`KcDe=Ks+?Zd)RQR&uYwDkxLK>*T9w_#z zDoZ=enPJ~wtzX=+aX7f+$+tj%D*e8%|17H`3u7E{dxV;{>dnYP^{s;o9<%N3qoy9_ zfi?(MZE7>u7&VMJ(>zbqA>pF!fZrLdN3_}Qw5QT-$d;cQypb{?6Z3zy=$8D6sEROR z{xXIP^uYS0E=5PQygw#xHnym~8GJVUS;s+yGXk^=KQ^}?cr&?812>ssw=EL1Xf zELSmg5k!(bctk!WuT3Tp&!Bgx+Z*oCI^}**Jo6?O#3*Fu&8>n5GT@PzKSX1*+gAj1Ibz0#;f+6;LWx*C>Dx(}Qio~<8d(MnMcXU(7< zzSc0gC({CHVCcW0SkeBuY=sF)7;_WW$YH$#H%o95H5$;l&HoX@kzK03|&^O`#7c5XffS6 zQH-$C+@YS=>%mm=<^Qa6OABJ5lYL%--2KeE>H#xmYdmSxes*#OI(-bAFFpy-S4 zHWd0Gauc=hwBONJaJH7RB2GCl5I6fQEjL5AM@Heb!`r*g`wWB$hY9NprtKxH1fQX$ zVaH(_TdNKW$*uyqeA?MotWj2d_d7(7dxsVtG~+9v#7g_#?C73$k*0-_pl~u)^)j2L z3OXzm^xW12SL}n%uB!W69uC(^X&5O`H5BV!NR!nsKFc?GUHlN+WYJJL`&OrH76sge z@2UqTIgen4%LNbM)pPDhTvceQdLo3Ky=Z6-A-Oh``X~lg+;{87i!5Ak#JTZG)I^8)=x4WotCyKn%lk4}GiYeMe%L6zO zE^N&EvFzOxF_D3?lC;?L`*nwAS=2_dGOlv-&V!b=FNu7-{J0V3Jyz>nxHVGlJfHAs zZ#eB$N2W-8-rUHZzDge6;LeeLS86sdN}Rlf&5C#DPJP{@(NJW)TAtu*JZNMwukAq& z7VYSQ$_uX2`|Pn%g71wD#cx=j2yMeX84bDksLHNUlWa#;)8+G}``mu0d)meO_)`h= zi;^1Q;@O)og>1Z9-1jy)VC*>;ucd0|M*870Jx}%@Fp-tznm5@VkElObYK@VS7Yd=P zwKokP!C#{BAsMmFbKW3Q8C^te-RCO1!W&AnM?JWDqwOKK$75Ndc)o_xe5aR|u|1*C zdsCz)oR*rLo|XojPgAU|BuNWyiSP`u6r6e*O!)cY$E&ui6Wmq&kFxi?S+d^g>Qpz> z+=Im9s!x_bQVVT`8^|Znxj^UYKHsq){KEx*|dtD9@=`Yhk^CH zr>R)1xs@lNh(ms%?d!L8nAa?_TAvVDkbe}1xtf^W)s@%?A+tvuSNBT^lul12eSvuu zDv)_Rp6!#|IqAY#8Q$wRRGzQF%ii2b&{S3AeVZtETdyR#njhg8(wS}Qu$*%Wb3XWgoMISEkh&*ZceLZwF+_^Yf8w28N8@n5M z&b zd&6VMuc%Qb&n@`%MK6Rz4Y0bl_j$E@74l)I)zXKj(!iK;JF6U(Zd`4qb=seX~7RSR`0;>D#D9AC1| zXy3G#=2(kMw0_LbN8boW5Ep9_jpW*#!EQ16(Ix0mPt%M$s2St2DNA|$}W#lb#?iSgy|^ZwrM&WG)- z&G+x#ZLI&2Hr~D8+}hsR-P=F-f{Aqu8wU@cfQXocjGTg!>NqtG?Fl-1dIm;DMkXd^ zW@Z)^7FJd^HgQg7P>GfP#hrK!60$pz*N&0)~^5gM)(|Bo0n)UVb6b z(`O{5Wo2b$q|Tle5#Z%yWn!Q^fo{&s%Ekfeva>SLQIiwld`Sy&yrq0jh?k3-Pgq>) zyrQzQl7j46Q9e#^QIDRPgJ1mo)mv5`K{4sYbsfmrmzxJzxcG!bM1ZOI_;}wEE}Fj} zVdLTxkx|hyuyF7Iww&bQWMQB^PDy$E1T&YAgxn?7t5;POWyJ;9>8VJGNyw?0xP;Eg zDXLsnxg>W+kc}FDXTGP391r8e+RBTUYg?ZVzZ~qod$l+{GSCfgfRq&#mO@&Qi|;T9 zDCpRQWHijZA~PylhXAI1OdvIY01FEf69eOL|Ks-ijkj+%-f!>jecIpO|9psvjZaKT z%g72w&JM)E#KOscT2@Kpnx3wv%K5XWghkINXqh_thsUR+XQU>C`&g<8Q@(3YaZwj# zz9Z1vkK^l(d&8t0;(k}Khlq}#Y4y~r(_D_ zY<$9#a?5JbGMrp|{rF@TN%q*%vr2*_xdI8XBPakJ7>Q;<^} zr#(SSMR@pfd~p0d#c2cIq>_ft{y{`nQ&|f5lVlim4xG;`;{3eciQV-N5A(A#*3rTwCog!m>PKVl^izsh~w{{M%V309#3!Rp}Y~q^= z9bMhW#QgkjX|%h!76OG2Eq%nJVr1uFW2B{|prU2wJjutyN=t&Z`D}W0WMrtl*iX1- zvoPUeBe|kuRCYPErKO=f)lZvwE<$kFi^(QN)HzrPEzP67|NJb~1=8{;|i5wY#mBzW~ z$Vy$Y^p8o)DJ-vPY-w(6XzD=Dq4~G-;r**=c($Lh?mfTAP*Xx;ov!@04^itUZw925 z*Fo|^^=O(dH({k_pGy6Z+c@%KeRUp%7#g2lSX@|Gn13?TS(O@Kd)LM{HV@kOrK&<8unW zh{V3=6g9O)KuNqkSY1}%Gcx^j?Er@WAN%nAvysl$j^X*&TZcG=_&dD`56t|MQbH`R zo7vr_QNxH%i_54;V-5?h4Dc4Ld$s)mlbnGlmkz~tBK0$-xERG^OCvN{!Syc94gcu4 zr2Nj;c(g3w8;IkXrqp#2b5b{P_-HDo3?D@Luv-UuX)|=4D^Kjt@EcW3f*}SEsMr|s z=DUX8;*t>K6Ohu-(U1|~9{c=eZfa=krcoGvX^s3okYQB&$&|Q<^rz!uac>KlEa~3Yz-JaH$lqZF`8IIF1 zvavH!Q;-p1?`~m|(lIg8(bCXRQxbhy>VtO=c9f=MLYm9dv+JM%z1#^3iI{X^Mgh^` zKF&Tdh0un|g2L*WEL+x*50gL*t6OhZ~~YVxR+vzR7o3*k3kR78aIY0TK61 zETT#R{fnpH&eg?wXw$x6jhV+KA|N0ETMG>%1IcP zusZ;y6LaDI_c;$j8CL&dE$g zN<~YB_ogG+`jYh32fiVZNu@{(dVZmkEL1oL$H*BNX~+n1zHD#2-`V@{=J{I!F6j&B z_~^e>NMY$V?voy;XWCnO>!%!H3c!NGNcgop_L7}#pDjuBGQ($dg#iAu^VNHM*tC?DRy zr5BY~)-=3xTVGF0>8tfR&t- zL0DQ=TKX&>3x}vUAL9vnI!Y2!N-Ao4R<4sG5@*gz$z4#<);LWv-%{OAC~IQ%(80sy zp{c%(mX4|z9l_z+%6m*)d}1mlZXt0gIYl*{n?}ZlH*e}+)6#qBV0}wd$JpA=`u>A^ z26_f2cWvE0UF@tMI=DVE*12+3OJ>`^UJJ-w)uxBw5Iw3gl#IWYkN zF$obqK0!V%c1~V?!BgjCq^0DQlvS>3sb9HfbX|s-2%CWIic^5Ue^8*8gSENg4J`!` zHU?JyQ$jpoYvUGE(9}1!u(5gg(DuQYR%0e1be5JofhW_3`u$ON@^U z4GIkQvoW^v@Nl*_lwhXEpIBg$5)sn1zpJHhdR<-fs=A4t)wS~y;xbB?l~q(Pt6aWv z<+7^Awd;m=%JgGvkRBhGn3^0F8X4nr zUERXn*+fB1;f{-MP_UPsUv#jQiKUf8K#<3M6GJ0&3(E&qR@U}TP7V&PU_5?-0sdek z_HuD@b$(>$?c?yk;)b$OcuqlfT4F*{Qe1SHx0R`xwUeE>v5A4Mu~R@~d}3l!Vtjl| zWK?8mXiRK)Y-(11QC@l;f>tKa(p?77pyd$E+L*oi+E0V&JOUv_f zvUBotGqZED^NNbmsi+XxmIe91xXesXj*E?n3=0hcS`!xF9iABM5L!}KQBs(hmKqxx zm71BJl9F9eSX^3CUJa?Kt*R(5DK5&-%g!t)&4{h8EiJ03u4`#+X@X?M$ETG-QUf#L z4f&;YC83l#*T6+SA?9QeO{is)Ba)bhLxi)zjJD+0owC+5&57sD)IO12a57H#;LeH6b=O z)Gs=}eqf+Hr4ZKJ(*mg|&PpqUg1>j)25*J8wY9f*c6PM2Hn%i_k(5^y=T^42L5C)n zmq&ZLx;olGJy=6Ma((w%Q(;|8Q&UP{&2Z9U=KP$O7wu=iX^F`EoZ6nwj^6%0^xF_> z5P|6H>+kRD?d$0VFgx1eu;zx^>dMNBvJy0xGLqw?f&-!;PhWMFLtEQ=yBnc(6_CyW z(4?oQrx&yXAG$g_TG0ckt|~7mf;7N-cQ!WPObrYSpvK3Bdtps&Gn<(B+bxxi@QK;6 z=j*f8*Q1*h5`B;@y|-%Wi{S&XR>a5z3OP1DHZn9cFfcSUG&l%;4ex;olho12>( zpmlXMRTZU$d6~%xG2vlZBb$@O#VzgKgMHooyeRCnrV`LsL^@W59A91#iQH1Bl*^HW(N}ZFO-`^W-`PF3#ttqcaQhPnVaTEH1y< zd%w7{jX^+6gn#(v*~;enWLGa}ifCyr@bw7E1ZvpShMbrfAD8BO}8D zeSO_+t$;yIwN+gUn^-uw_!w^&mtM@Grsk)gz1#SR@n-2GHZC#Ir$sQBF;o|4p^!-A;6Q&@duLaBYYUKBO>IqWLsM(t(BxcOlvDQ9^ZAAO#fABKpcYTS@dz{m zk{;+o^mcWF`82wRgM){Qk9ml(vxSL^gSq(u3kQ2|^I&mw=U{WTvj?0xCi=>1+qx#f zX!;xL8exdp*{P9%p^2I4Co|Ju5lv1`g0D1AOiTg=A4U!W^&aT!>Fw$6Y-?+SwYIf& z_4Oggre-FG3KJXK;1df^7w6{2!M7kMCMUO%CRP$MH%RikrH06WGyTRNIs#%HIe2Ky(bC&BQh#sPbP z;6R!L%mQK?K@B63V8RW6xpuS;^!D`i^&pU_5x~Nw*}mS|@&?%Cvzdj(`S}?DXleo| zH6VhfGdwyu`(j~yYHqowue+&r0EuWVuV{e{)`!AA>|$kfoh|t9C8S#_8?+lpdSDOE5RU`f@8?x z@yVG{B)oR?DG>Px8q5S35SS1nK>0>N+ldKeC%mJhv$?UZ3ewcs1*@xRXlP6~O+YQa zTN&={85$lN9iABI8kq#c8<`kFOriQG0G`R=!Kpa_0x*1fdTI)dW*V&uV_>jgrVWF2 zV0Z{D0YGvHM1Oxjz%(>4ghCDsB1flCUEKp?eKpX|{-KGv$x-wa8yyA<#xT%qR1dTY z+T79r_K&iH%9f_8GH6><@-5ez!AWEn0>BvuG8sel3<9N{7()$@J(-!DnHZZM?jD^5 zESs7f1Mkz5Xbzz#FVJW7%m@9Vkf@=-VX)i*2K9D#c6W96^z4ms8|WKA3{67(GrF4#3Yxmw5ugovk?-#ZuioC??$(B;rndHuj*8rJC|FcWQfm&@`a>J^cVXdIN>Q z!R`v{YA!9S2S?oOsD#Lz!6AUK2S^-{N3Wq{U|Irdi1xPOvHqHhUPLz%=*TEg>8a5% z^vps}+#_kBr!9E(_a2QEtkfMaV8k>*AypM6MFoZV`ME`vRnUxt<_>sUM}J!nq6;}T z3Kr<2^a(70ekuYdjO)YZonR}y#ni|ysW4oFEcYEGb6n? zISbj<-U|l}r$@)97RLJryFg7~t~A!yR99717nN03*Eh9xwKcRtYwFW8fQ{4w>*xfC zhQKy?l+Y?SGSc0S7zS%e-vA2GgqP(PRQ8Vy0UiP+1CRkG^wx?N7ytz@_4f31fQv>gKX-RH&eo1LLq`9@B zy|+Fqv9bf$RX~iL-93QkK(_q|&_4h*JlqG?+I}z@0E>Hp5eCUB>q3D|6(kgp7n(=t zYEqS-Hi=!cxy{N z8Z~gJ=BFj5l>PzVXf^QzJ7+!q{Fh>SP zko|qg!RFf50rZ>#+69(0^mdP45zz@?0xat7L65tkp|+;7q%yT z#-_$*V9S6#2u#)PZZO(zfCj8|sG-rP3#jhy9#{*!6D%=cB?j9Tm|dU9(GXyl z?1Tf$qY;RqyreKIGc_?OA~rT8G3c6U=FIEot1C+@&&JwH3ZN}b^=QMpC_fw2NeBxI z4U7Xi1RSd6mF1*n%X)jw4o8;YHn@;9EHJJnqcsbzQNJ)ndeJmgX4&5 z2oNmV1_rY22YeeGL~j&eWkXN-o?lGh#wKWWbxBEKPIhW?d~|q7cyMTp<>$S)rz=a# zvlD~u&7~y(aUGa}g$3E^DeV zSw&@KH3U)(sjh<5G@Zf-$-QDJdOVNqdzUQRYRYvt$V<>i;uHg_X|M1XlZ+yyBw z&I2c|d{C{tq6&S4X=rQ#rYA#&l=x(DC{KuskB^OwjY~{S2Jw!gum=cyq-SQM5dse9=4NH2#K%O1fD^y7 z_dQE9lW-PcH8`+lW20izvU9T1GE$OK6Os~QVk5%CgS|bxT&y2inL0#9d-~^s!@DmpqUDiR#AgM$JC{CvE^oNu2)b*SX5SVQBGPyP+&}SM08X{SV#!k zLlF!>1K`0yAO!^SA|ImN{UvE!WS7(REHjf;gTtISibaZrba&q@N@}z`> zgFyj+K0aQyj&`@r?_4#%kWLUC;}hay*eF==wxSOdjq(o^lzE! zim*uN`$UEWhXw`sd3(CMxjwdiWOd)t)cCfc;Z413TAG@gI{L=i=VWxvtZW}z7~gSp zHBd73_H=S_w7qY3$Hd6U@YXFuBNG#2!`nvS$I#@C**!~ZTYDF07k5Wzw?}pk=4Q9A z8CTj~?H*yk}%+XrO;lQAOqQRc-AnnilTf?oKZD z4=gS2ni(0~x_LuSTm7<kpO2AL1d&|(!r@N?tF)ytZ4=QVMx@vp1t z7+$_+W@2e}(+D`_u3yvD*3?wLtf+WN;N(euku$PNSG9C>v@|r-uc)bCzNCEVg2Dwk zSvh%GDakXZPYDa0^X_EU>ph;&R@KE{-UysgoL2D*qAw{yr_VLi1bwrbrl80 z3$k*ulIJ8PCB(%=1cWF^Nyv{g03WA_fPjdIATI|SD~R!dcp5JVHS+RsqJwvAAa+MZ zPD)BlKtN0a{Fbzg9Qn6<8rbLFuD@PC01-7}LShO^N=gcHauR%O%!AK++dH53_6`m)a0rNw zGc!_wuo62fJKsslT?{H_b`DlHfE*y9rX(c+QCR{!JOX??0wO|UQc_YfG7@5P3StsU z5@H6@1e)^WOvHz~M2s{TA{^Xl z_41C)t3?|@C~#mKomyCaHa~^x>*;82?deC&Ej`~jz``dZCn2GrBqyO{pjzp8O-4mV zK@9@3R8*w+*cc!vy!rOc>zA)rU%h($^5xt2z*D}nwe^1O?W=`N{3)R~RrrTv!%x-@ z_ussFI@H--Q&a}_+=2|?4~YWdPIe9kS_+&`yBOr`oF`6z3%Nq4rOvAx8DGC~$K3p} ze@td!es)@PP;f+eL`-~oNo`{%>dDgU4;aTV_jYy9Z?D-7NZjFll^-4CFE0oB_({OXD3g#f?V-tvaViu%sF?4(F<%NvT4lIQqn zh_Iebd<>)^E$Y;V5A!Y_i@fwg;T07#kFc_tM`Gvd2DrC*fQf~P&nzZ+PJ*A2iUgO4 zU0U7DJ1VWPs=lSIZ+K*EX5s0x7t2qlk^QLo7jHIqx8J^89PfoSHn)I{y$tLHnP7=e zOh=o1RaIb{PtI&CqY+X!f@FtAhr7D_n#-RR!tHCQj(qe`m3T1qla*#*4C|=IjETz`kGsjf{zih))O)%PF+k zT+s=3Gq`m_mYrZQ{3ga0^Hq=R!cdQxtfZ*8_)F)_5}V)!zWR#iPM?#PI!TSS*aoS{ zjdIbXO~s^ncwbn=y?K)m?*NDF3GSpmls}{fgindch;i|bbDdGtGQ4YH?G_Lg>ig)v zQvh({Muhr0S{Z99UQ)ZNBy(DbkC&T+Q%FWxP0zy4>dyT~cXe-DsxuLAoL80;BCNiE zsL4@?09MXCHki7U3>>E~Ym$(&NL*G|6sB0nb~ZK96l3EO5$0iMr^D4eu=?K%49$TB}X>9}wi)u;pvUCd1ZS3tRiwOvhO^6D3tj0K- z9g|X6+c~i~S{v`@<8+B=msek9_?0e-e1Ds$TJ<6IszvLY7R-Oitky31sp=PHw}Ja7u^G?GqiRrDI~};uXDQ?BE#|mzG;p zQdR+stIYJYr08H@FL!r0ds7u5da4r~qOwYASJhONFDWP}$coTmtu8H~peg=##;Q`% zDjM?KOlQn|eT+|29&R6_<`q84b^2ytMrGUB%KP=%w%iCGM{`X{QE^F8x_up?Uf0se%f~Me#2tb|!hl5*9G;K^?*^WQesFs00Y}1$?6_bb-_YdJrq1@d>@Yin zYle0~3AyF};(a{i0GbGg6b1(m)WS2%U<{ zsvGi(%B!j?flZl}onKsDSyj`Fe1p%x%g;{o5*iYW4N<9NNP$H$R7VE6y$~JzsvYva<4O_3gXOt<85E8yoM|-z?9L z_5(M5Pj3gbATcUBwXg~-3OTtYHO*)@eP=Iv#q4aZDb35y2De2{FtdS6ILzQuih#%| zG4Zo93Q9`yqD=T33rjnM47{QelClbywXWYZ(AT@BqjOCUm`vBTuP8`KoDvb@WjT)j zX>H}@+UCyg?#}K$1~wic5h32O!|k=@g=yfYL3;s4QA6M`2|Ra0Jx!H`g_X^HC{!Of zo;P-lF1&aF{5x&U;KV*S23GxTus2*(yLQXuuEm3gwvX-Y?H^m;H#5|^EPINVjfIU{ zQ0$zng0i~aZS#kZ?HwFIxxF1Q$L<*F>uPJLUOdOoK=|?b?ELFbxFi%*R1~DdL&H&6 z9-dxaUY;JVjsWsKGvix&R~1fk9mm;zvGj8L7zqs{D=RZSHHb809)cS;xI`2nR?ct& z>@t|2KY?3AL}V1?qy*RpAKt(F@c9@%2{{!NB`H3}yG2xQFY4K65+;5Lne*r6ZWY+@8S93@x+m9hX}HBNT+!CkzkBre{qBLV<3k%D5hrJ7V8S~& zqD5n8Z|~rUM&jz`?(Xh!lz?Fk%zLYQ#`>DdGGe?;l=v8%FQ3lOFTHxd4+c$foCaKI zpdu$B#KXn{7lCjHNGMM*bMguRdr|Nt2NMlB0XD{`o$c+Nk9+%{4-UYMG;Dm5 z@)REjBMmtb-Z6~NA9uF5w!qD|kDm@Ouz+5ZP*Bq`v2mRg5EeZp225B%K5h>51unog zU}cg~96!Ox#w~E_tem2%rk;VZ8PH&B8z3ZaZ*QO9Cy?h2#0T^R0QiM7fJg2}B6D_f zuz&o>=HUYnL9tUS3WPTw9Zqlb1h#;ex_N#Y>lzl$4cK{+58f zuc~@Q?W%^RHhQYwGBPnU2f_h!$q_wda8mlOO6Zv5e`^9UkUvTPdgOls;3viZQcORg z_a|BZLO5S3|H*&2{u6xPVfwT3zc_$j!L-7_1eJxgf&@MRD@InPwe=?$e?s?XS${(Q zmnJ`{1PahZ(JRFd=~qku;*p_+PO^Uk`8yo#?cZhmgxGgA;9$7u+W^1kGC1$ZG=bl%oVLtpA2M`uh5BvHb246v=(lts`AKdO%YL)Ib>s;r^lrUupi9 z&FIfZdx=~tya`?TD<0q(KC1RBoFf3=-J}0o(NXqq0it)PBSyfFIyvh9x8+B<-_rLD z(Stdv{Pi7;r|owV`bzCPG)H;A&H15QG?QBYj;xQcpkad7j}3pD0|eFv2z|@?M)7yN z`8~9w=fB(W9~8->;r#Kijw*aFnxB&YS?2eUejUuOAAT+Wn)CJf`>ww0tq0T=*GnkomLhe*>-`DWlo-AA@s5`8TZiD!cy_p08*C zieC`?7TUi-I6outAJUVbLHYZ6KbdlWzw-Y|{>Op;ao~R(_#X%U$ANzl2mWog=3mDD z?=pV>Dxm-2`D0GW{c-WXyY#!tet$>!AA0x>(l7o0ChHHo1k~mJ3WPrkHvB;3XpHDlel7V5=!beg zWWZa0$oiUb6!<_VX>bo8eHZ^ITJziV_gell`Ecp)TYsYm{u+!7jze~$1sl0f$j`;PjLfxKUf(GlKX5(qAVSF6ldaQ_T*e$y5RN9Jox_HQVD4XXYg z*jHHJqJ7^`w!)-;jqrZu+&2>FNAUTVTv?gFMS_1+O;G1sc=$WIKZJsRkLvs9@8t@f z(8Ft$2DF=HWLwYyb2LAHs0Hf$ssTr6zw+g4=Rbh>>luF!?%%??Kdp4L-hS0>-;~}3Vc5k{T0n$(k~A`d;gcf`x&9Hd1!inQ2cArZ*hIg{D-mr6@q_U z=O=9ZhtT{nmA_tkMEtwzfAsu&^xvTWb$WkR^G7^?)Z+Wv-_ZOez4)VUe^d5l+1!~Yn>%x| zt(_;=&UT$_+ml`I^E2N27p#x#y4PZ7|NlknS7@%jyOf4Euj$pXG4;-d*N6PH}Mj|P7slBHT`C{pgsFD*lDC0WM=V;~B z=T-Zl#JwhN{b2Uu2*%rTj)(!$VL{~v5RRr-HA$=0>)`I>-Sf?PVz3_zm}+>3wmRh* zASKeEGSG*5m>hdT?yeZFzh%x2oy+^_5LGb`8&xAc%bzzHBd#C5JqF5;o3GowBfQ>&okLlStZvns4kX=A&VQ`X0#)F+t3xPP<4n(X^l&@iAXYi=M%8k zckj#^Vat=Mw-D8dN0=>!l`T@X^{JbQwm9C7OZce#2;qqPtZOh(Uf9XUFeqdZL-Fl3 zU94|q>sj3>EH4iCnXU4pGG5caRYV6IV8_i|Q|NWdjWuEGn>)S2g;bkD!xHP57V^^Y zjJ1Wy)~)fXataspD=9Nj*k})&sBmt}$$L6qz*6OVgeMp0hMo06D!AEIQmWClxnY1S zY%J|$R7_ZDag7fPTobKSA1#903mGIF(Nu1d+{ZvaWjUvWY4i`87eZF8o7D9L?dNS} zG;d+)p9JKEa2j0_#itw1lqiA=2x?S3LF`ZFIX4@!3NG@v{)=d-qj8ns0KR+1m8YZAg1uQV%9Ve-4K#4ajKWBrXhaNN>uwN@T zVYcM56?t_FWiU>KybpZ!7kXYfaxeoW5?)x6x?u~W;pDs>7Jl)6*1VvIZ9YU^Cb0n zgV8md`wt@T5xS20oD`8gHLt{TJoa;PBTls0)*h2ZaG~}^89?OtuvS?-AJN4c>i7i5 zfS*$+g=3w&>JtJ@vN#Bqq0;P4szzmT*;BBeKBNNY#fNv&#`ZKVFHIB1yKSPvCMs9N zok;14qMV&pOC%9oZnrGSS`2r`@jO}jtL0a2@D~YYhH^@xvIP~k70?Qj0qs!k;@P+q z>1H|#R{1YP-CER7REQs)S5FqZmV=g^fS-jJ-zaK2m|%elIN29##8*!*Lhvzmh8`B> zThONEcck-ehR&Co_C4#l?5pC}uszpKqxzI@{IIE z?8=!tOeXK7?s931`oZYM&vkX@t+bx-)ukv~&WvSUb$xU383FBAU1B3U?CPBC^}Y%= zId)3kv)-S*k&lj?NpoVuc2}(|V&6ZVnEVX|yg4x#L*cMT7pJ4uW?1=aQ2^L|k+a3v z1Vz2V3dyrK{H1xb`Er3x-l_Dvy2NC2g0@y`?p8@FU$xC)7e$Oz|DNVU_A?7&Fb+MYMv%vRj&4G%ikzWLQXwj13oao|ToBQe zp+l879fL!^&}9fu1lRaEXFZOq^Lt6bvA)Hb1`sulH0N5Po;6^jhPV>YMBh zSS8*voC_Gs%TJOg}J@eU1P7Vi!yREXL3rJ|Q+i5YgFX|VVNdF|0SbI09| z-G=WFe0kO!yF57(JlB*QwJx+_kor7|92C~W*Kbv0^7xRTy89h5N_lgJ5%zDk8(4#Q zuffZrsep*(hWGbnq@urv&`9@<1*iT}bmMKGJYxmEXMuMlD19>?2VVs-1h!50Q_J6I zsP!Ek^o$c`l+gWsQ9>ZSHai5(JR^5>#_|cp@^_s5c_WqZe7`|?+gfiec`|NEy3l+~ z9|X@nn7M-U7j6s9()UKt+Xl~UCB)X1&h~PbBo;u z64zu;WV;z7ENVml4s12-NZEN!Pu%c9`lcHRSJ2}7dvgp~Nh-`RitX$O+7T;jq<9(; z_S9-$etI)CH|GMvK9D*UhfFvn&EC&H1~;Fd4by0`GN=eEM>skRF`s%^gkV7hV@RS; z5rC1XkLF-Z*Hssoa6g~gbiyH&{qA$!8x3x{-c!flKIX;qbsg65iGEHrqj2&bYC+o{ z;knVrj}9SL@=(UpE>3 zA2$@2bIjczHmJ)4O_uu>Sy*Jh#911fIVc@$jMjz=GriXw8J~M7X0(>yF|6}tY?S-# z_V~(XG(K?${FKZr?Qjtt)Al3_zJV~H*xtC5oA`=r3pkWz-|-bH**PuB(aPr4gFEks zk>XEA%mZ>$-hHvF=f8z+B9q5lBc!vmR?w*vG$$D<8dLWfDv?OGnQM78!=(m{gLMwl znv)RjVLx`6Yv4Z0B5PK37Evq4&fXc*6D|gyu~fb|jsg&$+o05m))}{RZC|E@TG@+` zG^R7n!k>HHyr)bj*n7yR2y!$6wAkBmq$oVbhTO~!V@XBIs3&DuNz>Y&u6q*)je@NP zxv0Q+8|mwWnDebnq(Lm_?KoJ`<4Pl-*$)>LlgqsjMux}q^UG)5Ny7@ z%S*+oG0SBDLd=o6)#*I3?e@2Um;Fi=@x9DseXp-e{244Btq3d$vv$JGODUWwi-sTN zf*WNue*jq`kEplIU_K>qjOSTw$v2Q{sT*3OTw!L$1TD>=T%1C9kMid-o@EW67-*iw z?5n8W(`6)vRLd{62UWaGnvlEP@42KZCFJUR=~K}}INEsj%z?*HBs$a9TF=iKfO#y; zXZx7ShNrV2r}LOZZNtSD^lVkfdLOlR`K}HpDQSsldXug_Hy>49D4?Q2I@%d@3@1uX7><$BEKRMW;ijcfKP7pw4MzxhIU@30_op^?T}wAGGtD&xwl26$!U)a^#Q_2 za+1Yn+r17!vEtkb#-Xxn-0;DQJYP8G2if6Y!q3#^f{PLWP- zru>!;9sr4!#nck*z}?RZv(&5UbG1#~J2*Rm@1w3EYtJO4fB?PY+FLj6M!Usy@CMAS zP`*#{h8#3Q4&dVDR^EU4=RtaVy*81u$L*sxi#;zjDDsg~U?xd6&BeR+cnBT5^|J`= zLwTleIo3ky94o!#GlMQ@^{u+z1jC~m&_gI?y93GJkz9v3m~lc2#awzn^IscctRC{t zao%k}D;#P{_tV(ENn1`L3QJ?!-lFEt|7PN^KWJfuRn$n|! zHSZdWZ^9BXI?a|-XrS(?1RImjRj!i5-H52x(EK{lagOw*teMm}`F!W|uM79$+Q+!( zFvp}e&w$dx?0K+~ARJZ4ToP)_0ZlI1Z=FO83O<^J&>}aOfa^9jE!)ksh_|>zl4!l1 zgaKl*E|#`sIqee1LR~_j!N~^N8PC?368OjkE%N0F^TSXsO*G%2Z~+lBc3(QyQA2gk z*EaC(0)ygFQ2eagshCfH+epMY36PybrqgBo#oQL+pC_rhKUyADs#wf~(DmUnqIRjL zmRz+~&LoY0%EXxKEC?ONYTNfyQ6w402%wqR*}SD(@b)d}Gv#*%F1w_~(}XExesJse zR6PhwPR51z-Ckm8b)_+vykzk!$<8DjhTsJ;&F@mP;bRMP%hr+(Wi;VsxQD;SuT?dR z2D|Vo5Qsyf3{r-&-{59T@}x&}U8iE%5G+cyWIHHetyjCGU3kYXW9D=kxnkKc^cu=?SYExu6?)n-XXJ86gqqVA}rl#h(X z(B)SIhDFz$1oU@!i`Yc1UrF^H^j4rP3*k$q2|v&BZHY(x?TJWnzpq5V@s;ovDDJ6J z5O35yu=5)2urjJx*X)kn=_M-2hmvhlAK>`2ZlT;T^I>*bOI){`9P z(?NkEua0OwTbveaKKY*Lh91ot14`Pi-GdIe5_{n_=~J0;M_s))Le=>7+?(kvI9%=Q zy9IdoK~7AHjM(0|@P<<`R^Z-Tzg`j-LLcm2+Bz2V1 zt#C6Q&QHHG@twZs)KYR|fL59^^NNUuEdLoNcKdNvu-AugKV3&BQI5P6*MUQSFIB95 zE(-UVldFqISkHD*67Mmmi;2j7-`H$Y4srQMw@TRSZ3j%SF4>-(poaM4h=O*xHmDzp zr!Mb4Y>KdiK~Dog-r!V@7+RrDB|sNFignK}bwn)?zLf4ZaTlUe5YAL9(u^kJNPoJQ znT_Jr>-G*lLqZdWni&WsixtOrAtJXYjhv+pIjt?8FYe7*5Ku9?8O>*`z=|qO&H&4& z)o^sS!i7yHcMM4POQ`IUD;k~3Mw$^N(Z~hDGc`lz%s#%TJyHM#MrRC$>xT@w99{}k z7L?%&7oTKo#Qk%L5e~jS7=fef!9Baeq^%A!TN3Ad8eg<_l9I?VLYc8@&(a={4?+xu zv|8IEI1)}54PF4H;l&ZxHV1+KD#6=mpa>mnnVr6N-=(PA)3#6uM07MzpoXfHOd5}I znip|l#d;2bEFbI4cracG7kj@{5A6)T|DjMP*i7ZxwLilc|KYnOhgQG|dW<;4V9?_@ z3QkYYSOPj{IL;fSx5H5&;pXnLrQfM%e+4}%QFCv_j9~-UA;bZH?}Uz+zVOXmG}aT= zo0k6Kx&sH|il#ETO5_W6F`7Xf`jQ$!6@`K4R$q#

>eO-Czm=3Hz%aa^$g#i(|S_ z3D>6AWUVU}mamqoP;KvZA?(g-kd1z_v!Gt6zR)4e1*~9Ur-09M5Z(FrSMc;9j$uNq z+y^b&`<_MPNmhM1kUG9_h~sA0Jsprv?=r)|?)7Bb(SzA^zyz{EoSFftj8HJ7Wm82q zw&sItbFCcp&D5le9rsKby03ieOk$oLGS&|1ycfp^$kp(f|r+ue=pcF<&#F$)k$mHXN770Y* z$LrSRqKTAV9^1p2Fs;gsaY2+MK%u3gz-g}yRmTG$GAaX?1scy|tTVlw_f{&betT*m zYSD%ZMbx{7*O&epUUYy{4gv)Gx!rb+eP~F5vA`f`wv>6$o#B2ln@mT+f_Bq0&`Sz1 zH9eT_KEtf`nua8mPQSJ)xH)7H_yqw+b6baZ058F19rd!(~c!o2P zs$Lu^Pm_&QbQ38*>tX60D9*B>SFBzh6>OqrS*Qa0!%B(su!4v>Rj03`hBLG+bn41` zVd50noL50C2zRVv+91t9T^XaH3E57IxZb|4;{(F%7yqVx5+B~<9CCsr_KJ%7<(CUL znCN$!3buYPBvI>b#2}VK49?{#txR3guZ+&~PHnh4-Pnjuyo@}7VcfYFGh^NK0i1{j zdNX%(Nrfkpu5vc@T7lPuD86FTx|^MkWSLzud4Dz@;IWG@n$Dyw5Q`t#D(t~iR}n>& z)3kB3D_0Cy5x3|xc!>{P?ewzd zO>oL{85!9(4n)CfX2yYmR$QB_tL}Q9_?ayoF*oT`P%Uz>WLO2fQ=&jStdX!@UfNU~ zS2s};ofm^yQxc>JF_X@6tBJ^sr3Tk}%0Ww1ty(}|&ZDfk8Dq8CoaZVc=y`OQ=08M) zjHNQ_DXYz@0{Fyu=yh`eUV7>2WyKYfR0o4C1LisL&T<3e>EwnAd)(l=NOHgBXnZ|S z0sFR*<%+R*!x=%p`tO$}v~nNzpxOV~jJ%>#O?g@pJ4ca&3;hf7rv!oRYoYDor-Mv_ z*m9d4ObLh#4j-0KOO=8u+LDNY8ijfXGZO#meSv(pkr*F6{8m)6n0Lyye?{j0)6arg zKn_sI;sOyA1W&l-9*7487i~^EO=VECWIK^?*RWWqrX2MuiIpbcpin3QP0BG4E0OI=oYALX}wey(HJI7 zGg|I{rY0Jj$-dCIP6|4=qB$aZCOnUGQUf*Al9IAPrPF6kIsvdUiy~9LvgqgVcaXri zPIwLssHdJULD8Q^2zQr#WKxi{%7HEs(dN`Y4izIB=?{tf9DnMa(- zj4dK8xXC>d0&N~ugEx&R*&l`aVW#;ZZ|6Hies~TUIz5EKZ{%y*aA#0$h)M=z7qr)_ zgY48IK@a<&C5ila0*ALil`A`Qu17RNLCtOAx5I(t96^AjSc5VA?R=HLPhVBRaCQ?* zxG*!lSeTIsTa#i8g~_HTNIG}vQb=A`u6h?U&;ZQ(omCz)2Da1>htr2jsd7EGXBW~v z8h#)V6K&W%+@WQdEfj(A&n@*NIbi$13KZ#BHr;yCbU)NfW5|NtO%xQ8U!|d7@@|c8 zNi)hW^4F$^iw-PPW|Y^`!It?5(5Ok-{Ys-u?gn=HZIv2GNQU?g$wE_#)GWY(YMY38 zbTp8He77{J&-ehx*Lc)iviP|oY!Xa;`oIO1wRO2$atfP*GrMy!B^TCHa#{@6Wi5MmLr;H}F(x95D z^YW*obOF>ImE^$gksYEvMc#D9VIx`H&X89q!cBAc)YQ3W=zurL-7@DEeG@^Y0K$XG zI-i9x`Xq5Z4opryLjZ8K)@dcy2nEBY*7q|RFf&EYA%-_Vj#kJ>=ZYP)=@i!#=8_DS zZ-<*+jY_B&^THGVwkpl^I4@?FQwJ$#<39BrS7c8ly$XlA-I} zx@C=a+|gr3$3%9=W6;ORSLp7LosK;1Q8^9`l}mKpEEOV|<(a}H+|x3R6bF0TV?Ly2 zVemZ#4ntyJsMOotZO=&DCfXF6M)vwKA9nIhQzgP7dIm*S)*JUQ?!3-m>G8_(HSujR zNo%Yg9XwJ;O(GmOXmW*iTY*7P<;lfZHSHBBrI-n%1!Gw*A&S!xb~AX#Tx2?o$M4VbQ)lg&|YLiIn2d z7~FpIqD#oZCR=H)0`HtQ9sQIcR!V^F2z7bjUX)01eD{U5M;aSspZ7RAo^-uWm~a6J z??g4ad#AwAalzRV*HaPl3f--&uARW9 z_ZF3qzQ3tuT>2O)PkCMnp__b34izw*G#U$T<0M76!ar9_>otqS+a9_w+nZa!s+Z;x zMSP(Nr<^^GW2+roo;R^Ho=6Nqo%27HYfbTsKr!$K$W~V~(m#?%t3FqZ83AAhOT<#D z<>KWFG!9x(io!3lan2~sVn?Rc$^%YcL?troso2jWL5Bz#ZINJ8VX7fC4906(Z|a%#yX75 zUf~u=8We5Hs)kHV*}&a$sWrBjZ-%c^T(Zz4G)R|Zm-&=BDP>gnG1NFxcXWvGFU)oo zR4N!Y{SHCz@gAy4u#_IwPQ0c)3ov5NuybJTMg;pQQ6%D^YH*0nQ8Jx*`7T%5Y`xt)v%A3%myIN+k82U zSkn~{6F;A%hzGOGm^oG2svq1epsz0=Ot+kPgutu zn?m7tVN5*f^&l>(nFs3`0*}PIC{AR0SK}uKnpT5+jwEdX)81W=n9%6aYcXI;x!qi? zWq*qui&^`W2FOc!4&I9M+D9o~k5XsJZH4|-xORBqKsGW>&zmSeoFMfpGB9h<86?5R zWt)1lKpS}ft=ek##1ERTmmo1%HY;$$?$3`ga~vDu=Fy;7_+K&Px^y3Vc1kDv5=1pd zg;cS`s11R;hAMPKOA-~Lsrk3X>y0ZCSsm-s?_LQBrLxdf$Mt;FC!MaQH(BdeyJx9M zgF#NlL*n+)GvP7^XJk}QlEZlr%yU>vf%b?d&Aqd?d&B)Z$eug?vdvz7gc z#Y#=Iky{op7%(&1LZ4wgZD5f=6+(RQ2J>)f=pz7PE#IRWoqE-{%*qzF+$9zwE}=Qo zW8s^@m_6Y{q-(CSr6rCJo4qWw;V5Q;Uu-M46SriFTkEe?uuyD)JT5~nQ=Xo$Be%G5 z-kYvI)@cb<*L>*CB~vZS4uwIpZ>nJ2z6fX|M+C(dMRRG(a++$IH-y1qCbX3FTA z1bn6JcK3x_|FslTqbFA-KFfQVkkat%wneByWI5aCs0yN zSmUp`o?^9V6^d3@J@kj=@RydZlt5Eo$OrTN4$!;^zVMq$ukee$s&{|E<%F7TTrv}_ z&kLtazKf{HJML>JTTuxxVo7#KRHlAzi^rRAU67MBCa5H?yaOGwk&~SyV48uXkgNjL z%}y8@(Td=`xOGQx)MZgg-U0!mvf-ty+0skI-pSP7(-vW8LEYGpv)*<(-313NKcj&E z7`DQG5-AlD==mt4ZnuNp3k zW_7>6n!rl=Jv@#R-)tV$=PDHU^U<929oh|AW*U)cp&Y$9v{g?{lJ&Eb_OywU8sL&| zj!N6X-sJV}r>`pRLY>WC$S%6x_<^+{0(Fb(vDf16pPTdHCAlOxwV|;xg64fVI$Bkn zd^%4W#8w1LGhc42GTJPl(}QjoTpUW^l<6i~QXQ!%wA0YKJP&=s9}mo`6|-gw_O`|f zdoDb-Y8g>;TOm@Jheqx6DN~Zt?0^0R!r5S1PvK;*FOw(7DmbP4>oY<>k|TrR(_WCvJ@-lgl(nd*z0Pv zy4x$PL_3()oz}BpJ5awmd?PMb30!jQKy@0`-EoK3)fsvyzO!a&hYJNaLg4|OB&+I8w`bKE`UzGqX%dk??=9TX_n7#pkY)YP*Fu zH0`CXGDHNqm6a7$rXGEsv<6O@I&SVI6 zTsBkuBm^wg#Bxsi6CC-wgD5G$v)LCTNEa_Bjm9rgX#U=XQQ z^P((Eq2(pQywO)|O^c8(>4-qzgpi!92n6ayrKPZ(m0M{!j=l#4;%!YULWBKN2NNa_ zKBtdyq-ROWWNwSf;~XidfGy1B6R{0-!7L3<#8g1-R;;a#ZQIkz~$?yivjzmZjS^d2|PWC;XadSmum%b)(*=`LfvN}u` zq+iExf*ZtvMfAYC%9oYuuV#!ThJK*iJLbw|I><>`Cc<8FYbcCF=e&Vrz=c$q&5YeU zmPneI+0WjY$m{ZrQ73p>o`sswZLKDNh;~eEfCZy!rv22Q_|EibesZLTxQeo4!g#fI z9qtVslK}#NR!sVn%Lq5Xv4Q?hHr>|`LNP5`q@)oJ|fbZM7HG!cZg~d z@{z{SxVW-Z#oKIZey@fM@r9#l*Ev;cE|JQj8)eup;XbbHM=WkVqIWSJp4YtExpr%_ z(p#JQH~Iuw;SPA({-lxriRV}f+o*6pvZs)Rgli{+A860w6 zX9M34X}2`H0Y6u@Rq&%G?Q7t(qei>ovrt{CW!}0E_?GWJ`o#fr-JPV zaN#hNuUTg3kp#e@ADbkm71V|pLH4Ai7{ogLLo6Wn*r618w@c~U5^TR?)Lt{ zAAFc|0PqkZa+DW&;vm-{+tM8)iYNkI(N|KSp`76DDFx%q2cd4|-PY|`rp__$g~uqO z7cl;^V?74#t$ginU@h)29m|zv*_A{Kp?N#JzWp?UrDtpU9cfLs3Sy#JePlb#v0wCs z12;{M&yIJE@@2BTCV!-tnH{aYjGl}hxiYbQQn0WIbc1&d`TdzT(PT%&rydi z+6V{gs>oh!hCZ^Sx~iJiAMY4b$h?N;Sc1qr2CJcLGRM7LvwdehUp$U_H@l6bJf18l zFvMl;3M;ToRgdN9wzAikq$!0Q&5+4jg%PafhU}wOClBacR4mdw)?d`d@753YPXt$+ z%puf94QawpVBDGJkJ{coyK2q58!2B6Ar)|6B2zi1S>UPR5Io|PasYLj(%bwQ3LjR( zAfZ;AsYMLUEzDKsE{E#(gc40v=X9&mo9}OV9RuFn)5R%-zRItZ>_w;AFu|RcVS{A2JH41(vx3u1zWBT$$Fst|%s>=J}?7aRkAHt+(a zT4M{f?w`sLZ25g)MWE}lzF-G}966ASvMv5+jnj_$p`S`N?=X^3SYw%DJ*l#}tAmU_ zZ(DCU_YT7wy7y0ofwyQJ=4VQUO>AWS@|?`#9vs<#h`}d1fS2S`%f!$)Y1)gZ55gDs zxHTnl)xoI1Pxn>lsz}QAT*87SR|YoUr}t0#HCT?1z%lznl51G@?P-wfdnW;I za#p{V+K0jpqWxjq1zioSTCLtd;sk<2Bu{}In(I7$B$Yka;!}P({oDA)* zdPf3e&}(mTnI*DhL&7@;i$f!VL1yP8&5cUa^ZyyT|Ib)l!&FYVRc#d*l-lzmtkir< zVCm9W)fyJ4fKts|z!WrePe`fl==BNH|ZYuqD|OPGNcu}h!4_{Ji^_}cAH z0ATdEVE)nlC;)teEtu{XTT9AEE{U}(F??P^NLrMyBJi_l;`ZodWW~`sl?SnnV~ctR z8d}SW|5QO%-q=Hz_{+Gbtl9p~L%J@vW#HUd!L6o2(vHtPi!^!s>yGG#!_4Vl#{W~b zZz?erJ>~8+ZPbo`1~z5~AT4!&I@f8u7BtR5ME&}w`c-Fpjn;n+3pc-c&A_PMP!MMc z0_aJ9t^uy}4c_Q~#>PZ({7gDC#+Ba+=yeGIt1a8g)TTcwPqD?rp@!BtHroF~SO0U2 z^faXYXX9ibQU;%7_dbwOWwo~V>$q`DVMQf%^Fc6?U+d?g_mO%+5;Z25h6816lk?RN z#sx}-QKTiqC>yLssf*g8Ay}s^?vOHjY~%Osq**#O@YsHQDbq54FvoK8_v>Zp26TTxCK7&LGPHU%0qmpJ7)XaV>If>_5EFdIBciX zVo~;GEWG4MCZl3$%+wEqdG|X3Z2Zn)MOW4j6X^96`_EDJuUNvnI`6k{r8IOj%)7E>mRjWPY=F}fn!3F71JbQRutL z-nm_ORZ!nOseK$vlumG+!AY+_gVug$arA2`{&%_S5jnFh>iNs%GKiws7SiCE(&6Ee zxj=)c(qvrS!ipsRAM4OzpSBjV3>DBuP&f2jSwMaOc|eB0j;&dW=hg@M&exOQVT%n- z6z4d60h620MDvbAQYKsRdjNUgA*Z3cM`o{|kU5w1ybDoQ`Q!k)rnC+2yXaJTV1LAi zb?(sTrVwYOLFWBkQT;sPqOSn4+Q;-Cbl)0^?h}rpp2`vWG~W>Q(mV2mO#=HlN@-!6 zJsP|8q?l#eazk@!FJd^!NDwU+MqSJ4T{=^uqvMywkA1qN4q3c=tpS_gp5vB7bX{`e zX`v`2KK_uMiQB~~cvxnM_*1RVllcj3MyA$%?;gV-*nTwhsuqb=diI>I7xhY90xV+5ib3{i~Qd+>z{KSjn=2Tw7?4JkJ&-CXH53*b8r(obgO zDf)q}BBZL${_;(jpL9C%pg2KYTl;O;9(NspaknZ%WU=eh$q9WUDFk0dwh%+C7u9R$ z31$lYt@S5q{aPl|`N^QjP)9-F`GZ;mat54mrgowL+JPjd4tXg!}wRT1=Au z?w{PwWd0U&pi{l|=9=hOKKM+9(8$t;nmfGRD_Ze#5K38*44!5Of<<;lUZXq5I=Vwo zUs?x9a|!Ct>R5IAq~Obf-Ge&})oLX+W~(@7nFMY>t7xV{FY$+hdq69H>L@U|6lK~= z8RPPodIwuEVq&Fpb8PKZWb?DFRA=cAWU|_QoHD?+&KOgd+P=J?*%vMW zwsT2Bpl?M1C53gZkvvq*06{0|q9U`p$2rV@o(MK+jS#7M5SxLv?(VOc%?kX*w~_sC z{p%`}IUUwBRpT%qAtK~4W4#thzJ(-+r{VYssf$p&l^FrPgRQor$v;)`wwK4k?axh- zU$K#yr74a=wN2pl=t|SWNp+R)!>f`@)odAY6QLgN490Hq&ZV1+x>gx90rg?du|lg? zMouFQ*vbmpb1Y{zuZ&YnCd~YtAya=O=b!>i_e;50&aFRRDQRFMoE9}b72FJmV(F=O zYA|pMkR}l4PGhZhr27GEj&S^-r)yZ3r~`i1Fp}0^Y6~c?N&;M19p^qxGw(g&7~?rX zcFdQ(B7Y9QT8Wx->TxxNDm*AflMM}Eg+6%t7?@nXWKWJFzWGIpPqa9=l$xc=jY(WR zk{FU_j^RxSm9lb)@qTvDw2=Mn;D5BLc%#BgdO5)cJJKsXrsv4T3rgvDmJ<^jnt?Oi z(v3x3j-bM!8^hx_b?(db(6nrWUhKT;)(qgvLpCub;*De=9#U((+LM_}9U-?DiVplaxF zuRuoFzD4&v)NUh?&5NgGk!J{$ykb>;Azapt#M%F5#5LKHC>V0`DW68sje7N{R4S3d zcAXe_Z&tluuJd+bh4+U!u&z|d5_DxF((={rM;QioN@8yR9GjdI&j;tBY#UJnF&NFk zO5c9|;XADomz64`JBAwKvQudznp9{|N87u4Q_k(ou0k+49e6Ej(W9KI`)Zp6nJbVz zVeeQsEtTSdcr4+|Lo((ko^^w6D7dPD1Z=nEg}eX0s`;&+#GZ3pZehk&DbXzFiAgLK zLPjjP8KX?S{}Uf@;_#y^U2=?csGW%1ZNWRej-do6P0dvap?*@zToJQa;D*7I?#Qzh zmxtXMJih%?wa0m%h?4J!0vpDl-YcQXc)cD`XbR2uV^|QHIhT2Nl$iVK>`S^W$`s&|nkoT#kp(O{6#%(+8x(T8P&P+YbT zT1UN$Xnjo@x1D}#0^Q`}LQuCZmArM3AN;S`(`NE|3Y4=DL5A#FeKIuk7EIv?JNV<4 zg)^7M@B}({Tr9c&O|^K7zC&XmD?38(nY|c|QtzoZ3}hpfH)f@hMq5C%k9&t~fM@EcacvVbe{4c>CTL3gw*O<6HXSape=SzDDD-^A7 zg9uO9P3aC{ioiZa8sIsAgD17%1X#F!#yKDP_~&}rV4n_R(FJ%;a75+(V84hGJUIUkL?T*Wj**sLCDR5-l|Hme3*oDThabl|IkwDfokfhsgTp zD+9yRTdcZQpCb3>2(bfu(j0<-jzV6jX5SmL!t^Kh*kK10!e21IgdYAfB--z#plQ|mgt$u-A006Ti9E+r~DE)HLZ4tADqN6wgw>$?<4z-bEC z$Rjd!P^iwb+0yg^(iwcG96AOkkk-MvN;4yCcN@)C-Ra{W}y2rOIAlU~*&7VP6x^Jtp3h}cr_lC$kg#*H$H=0tuL1%{K% z_}|r6Ow_g@wr z2zA3*yH0pDY*2s#&-A&v%H`rx^P&p0jNZE7#ob7^8h+@qpa2?dZTGXh-K9w_psr)rp9?JDO9ylK=C+ha%+4$(oxL}2rN}a$? zL*xRNguR@`GFz+GDDL{*;4X+RrVuWQ^%*Iw5g`BNkkH$jb+2twEMLHro>O%f;V=I} z17wva)c9g1$9Y?DAosoatsFsa=RL9cPx_rj5plL>$9>`N5^g_meD|?-DUsb|6H#k# zbpp!zN5JOT4@+EPgt~Jq?7)-qRFw0*3-u#OQ4p#_Hf?r5nrj&zFaPQ2BK8D0Dc(;VS$8M0fqMKf92s#js+Y z_+xC}!}=@^-CGoSZ}<+hB|oq6`b9?P&qVciRFP8liL)jC9y&a9e?#cB!sL+16`)AU zarJjrX2YO9!_)feVvV_lDFVO1@xO3yfnn3*2a@@_heOX0&ttL)=S5(iy zR;;g-7yCEt495J&>x$h(z@K;Bo&2hsJ&-@jx2!cgBZUi(=rjgBOah$yA3bpYR-hJ&oV|%pd|N? zUJ2d?;%~xl&sSutBx*UD0?eftHI}p4pN0(YGT$CGi~leQtjyY}F~a{x)_&pSc*3B0 zhW79KC-Z3v3Q~b6LWTZ0d4IJ~&jm8ennnm?%oOqm-f01a_hc1yQK= z%(N8k4dOYj&$!XDKk<~ z?S&<29B#SLO^4?bHATI5bI$D(5gZWw?mRt*V!{v+3@nmpA>ew7Hyfk7)A|$`3~6a| zp|phtUjMBen;I{M~;PJ}_z`Jq{@@6fE{x?JpKsqEgUw zZ#M)TQPbbS{NcCbDuIJ{Bm2-e!(GQXr_8DJ;<^T~`ZBWa;dZ%8I?Xuu)FWPKI}{(eU<3Z$Ln)8< z`P-pn{$N0EZbP7qlP~r;FkM@8EwyJkTw+O=QRPyy27~=?Y5MYJ-7OiLmuUW{N|GLy zVSeudjh#sa@xQY=OxSsETfNe&7#+7Y#3&0+G_jY9o%&q_d>jQTs2 z92tm;b#{K|&j<;PCbr(MX*Ek9)BVs?HbQtw!QiJCsetg;0 z_s;fQXcUpj;NVBMy!(0q#q}rDKaM@nes?L>vfTD^ttj7Bnooh6Nj_ES|Dp6#o%*2T z8~%mQr@h(xH;kB5-}#RKs?MABaf`YD3-#$qULMm0IP3;QS!jbK`wPy<5#*qQ zqX<{t?F3cNnlcV(J1R)_oME?IiVZE={+)ARaAS@jAFe59_#2BxCUUsd`GXH{#Ce_V zRJE`BSt!7rBqNV6hdkue-6f4rKTJ7I>~%7o%>J}C`N$6(HSx>M1`sohEXwm|4^@bL zAfVQ{!prE^9gbPRa%b$MZ_#1I?H3vShy^)i!TkIf6n=1n>yY6kNeAEG5ht@h(ArL+ z^AYlpZTeXvwH#*Q12xc4>x>KgfG(n zY*9%!ERW^3k0?27Zfvxa`wN}dHD&VfkGJGJkqq;sP{h(W_iTY}@k3slY8;Jm$?(Zn z-!$nV?N9n&cPNk=vnVwHe2Q|BpMG7kgv97cWV5B*ld@ z_WeN8<5{TwW6w7cD=sPJ)=KyQC>Zzn^=#N0_c2^JZ%dSvRQ9@5|$<-oE~gg^-!dV`d^l=7f-$ zN(dF1LJCpld7kHao*nZ%9LIE=bIijr6N;jV=9K*Qq1(6H?cV2ppXYf!zwaM+y~O$K zX}$MaYp=cbULV3a9(42Sez4O9azi)d2yci@?*7i#*jk4t_F_J?ly9H4QyyD-c%5A% zT}y86_<+4a z#;AQ$*4SE{r8_Su3yWtdRr|9i{l{jratW{F_MXa|pMxX#5R%Pg>=rS!GP{~45}xzQ zK8AH3pHue8RUEfAMQ%TT!f`VD{>{GRkk839>rUjNOz+XjUDYC9#!37sr2Zf*5BzE^ zY#Kfqh;5PszmM!y6ttoxG&%QRYuz*Fo$+M$2mjazt&35wtPyi?-$&2TRD(+$&BH81 zp*{^Y9KEjuqRu)m zwFQ;Pn6~4RX0VRtiW+^lcX4u z(L6>*JU7ff@_d)9BDTwlaM|4|TKwa)j~nc8+48;l4Mx!h?qQ?Xr9C;4YOh~XezBgV z&6cpE8tm4w*(fD%a-f5zV>_a@Q|L%=lUuLH@-2+F-@otZa#?4!wJ-XsGr3y^^Zg3t zJa($+#dBiPdwOA$kG2}KNmU?WFYnn^BTW*0U8K}LCmp}vD`>HKfgQ^NBK?eRRJF({ z^NPawjMqo}uc32XpE6giFN?Yx=&Qq^9E4?Qp>v_FEV6a8%F9iZ7P0u%NzL!~W=*h} z2|yO2N4u$w)<~~8#9T%1tsZ_kmN0I))#)I#o9j*^C+<#NyM>NQ6yqn;B+)XbjX0S% z=PF!BMaE+M-qDp;z{luKg2bw0uRzdB1t09%0(8F4X)u0qx`V6M$D^_5!D;@wZ&@U4 z{V@XfVlrfXEB{td>FZ9}6Wg$lh7w4Y>t*N)T3Xiv{7o4Z3G%SE@UDWb@~65s8dP%Y zG7njC5W=)JwtSyxk6#N>RoLKUD(6&ny-MTDG*gbdEE&CHbc14$%&UQ!N!GGCxK_mN zkrwT)^;Q^`7%sE$Fj>dZH^)+#?d#NI^F*&5)3h$UX*vMt2PZey^oSmg89?l{BxK{R>Ro~`etVxkK&*#Ua`dlxmcS)6QeDZK$ zb>$PBe#P{n&1q&g_55mP8&|rC2IY}+8w+yPDWc>!-WI72`}aOh6=oL~GWDkWkI?9A z;Inh^9jBICc=|EE#2yNnu}SlGunMh46eQCR(?UGFiQc_GLf@^BBzFF5^q0FkUaRjk zzcAxyK5-`N%D?ff@B!Ci$5Ydq1p_^u>hR2a4ZIeu!T1#)32yjM?@QT^-e4T^pPa82 zQS!d-r++$YV$3va%oNf{oDE^scz%STu-;>j(Gx`@+ts<4Od#aXoyI&G#r z{t0EH){NYMSEZpxxThd{57Z(xk z!$su|=ID1r*r=`kXlE^jSFV-hLDU3+?D&XdD&|Z#c6I6RLn`tuTJOaa1mU0=TDjiE z5~;m1%#yf-)TrP~^^*=+m~h+md!_5*BcsW>ITSIK1*hm9tUC(N;AogKAnC8XtPg>h^$;Eb$9D zQ`6^Vp(WANCLi>ITgb^?*>DnBK4eiCn|r|`)Qp(MlI+6?lCpA7h~(wG=d-b%Axln2PT9@E11&2zH`vvhAUDYSMULq=X!nF(DTXb5Y974(G`tbJW43CYA zi473%JgA>CxKAODOyjQ z;2E7)eC=!KKnD>~RP=Q``R%BcVI6GN;3ERWd|nI}G7)-B0|lvd4`7xrgT}Vn2o~Sa z9b2$$If?Y*wpvy^bN_{wyI#cE)|+WU`-2z?kH4egvzea)TNhG*lJ z(#a^FVkhPP&c=pJaPe~9=)QG|q~2FDQujc%TO@&&4OgQxtDtK)nybv`u=9OPC|$B# zPQ6~bV9h4y(}A}EeyiPqF+uc#^Y%dC>lZf_F4Ac(ywj8#v`FTu@(g5sXh@mq7>9^d z8-YBU-)0t_u;Q$}P|ZSzi)g_oGP+D8BXYc2@wRlOOAdXZNK1o^rE9bu8h@tNl9URy+8{XBK;HB@jI0?*s`u;-HOrzzul z^NcT*z>|7aiTF0c4ZJ9=?JZA1fo$*97oq`Aj7{wDo^(^BZa6*EkMt*7GJ4<~rkC zDcang1o)c;iT4eAl2?u6!WH-#2&QShC67kP zK+mwGU206S5w`BN@2`m0uiB6G3mO0T2o8NtiFlLBPg4zAJhteIMMd;430``-@cW^Qv7Tx3bc*vZWmex!eAEoPu}@xADt+ zmCGXhUtT=*GdU9~qpJ~JY)$eBAI9XyNuN7rC|yD4t43T!5_?Nj)J#7+Oy%?I=r}`a z9xEm7N+UY8i);7DE^08nd%l*krzW!<%-(Mt9BKTC0->N#X%fOufumhHtQKvp!6&Vs z$m?wmsfP<*;&)wl+*2+x7g)I`SFnqGuHEpdo@eG9FQR-YqTeYuZg<_j?L-*CB=&Wv zMco6b+GC2LT*B|f1Jt!m(mq-cReDqhsC)584&el?A9b5Q8rAZ;t?+$ByxiiR#WZUM zY55Z8JNEbUsA7xYvsP~nQWjDiynAcS!?GiE1XHD>qXi__!j*SLP7E-K#;9HsGF)o$ zx0Q{s-?o13sqY5g&t1jY<^K z$#I?kyd^dlN$82ZDZ0HhE3O*Y(a%?K^eXgnGZcbIzu~&Phni zSa?u2^^+0g8UBmx&+|kI4jI^z!&-Y?`@K(9<;P2X=2@?PnIpNbZdZyS)*YLO@FFP=d2 za?CY(1LxI6*JDuLP^*Me$->o7k#7o&2+eQX<}a6hgs7Hox6wI>`s;Vw;J}n6DyT>t zyB41@-J^UsJ3j?6=vb&#@Qb^rfRCzeduO~JCep)yRUSpS*Jn*o>v1Q3MXQDV<^$>2 z`wKB?3u@!OH}Y+9T&5cO9SJf{a3r;gYDK!uNIdYnOtXUzk44UM^0Dw4jx zFgs5hDLuY(XU1qGB;~lzJu|pYJ8AHps}Ictl5EV!XhsE>Go>3i^UNn{=#alNd)@ya|t;mRr($1|6nrJ1Tbe6RXy5X2EG64yGV25sJ6OY$M+=$|uHNw+NZ zddJ8}aFpHKGRD)+RFrbub&24)L$bxl`yLVNt7M*uoE-cY)Q;X#52RceUE}SpKEd?P zRVBCQ-6d)P*zlQ;Muvs49*$GnI?@|fJM z_|nF{V!fQ!7itEiT`HqNdqXoV=J~+ z?w;kw1A(3Sc^tJy`Hj+;klcPeg{T>R*XEZL0zx#;AjUhc+gFE9JRG111?1u8a>vo$&eqn}?v}lyle4S)1211c|G=Q&(6ETeC;%@$ z0YLj5E`SO!Nk3!)_#7|*8~~UDBnb%#@qkrqObnP{Y+OQ8YDP|eaXF->uD+q6p}w}d zvaF;qFDElS4WPoniU+VF!$X4u{e5Lmon)pZCnh|4~MKR+)gD?KG4E+#rA zE-53gtfmFp3r7s}_jI<@K}w7Ab8~WX^9zbfN=r+M3v$wvqCh1m%~b{9^uaY&d1<#kML?7V;f=EcVHWPd|$n3Xi;)7G>A zJJxl{(#4%8h&*4Di{^LTuXBZX8g?D!mOFp$G#fb)8Rz-C@estLF9hT?w3Gy|hYGxu zSt(EOtK9I8%4u05BY}tNp=d8Aoh1K);HD_ zCmk?%i$5LQ^p@?yE$_gv#Ny`eo~~Z>YXWjg3Q9UwPEIy9?$h#$QoM8|By{{|^-az6 zr6^H1daOT%Z?Z@$O7oonmpPLt#*y z!=++iPxo=&j^~@>g?zB?le_nbK`NJ+NeOakM%)t!3fK+~6$!NqH3oX@v{A8nS}if^s_Mw_JULg8eK{J+hoSl6*wY z-1@49+$px>pI0YPJx$e(BX3CUKi7^f zZ)DEpbwd7-Mo4T_!_wP@Btrc1$ZeeA%s|M$xWSe>+sNSJ{xrwqy&HnOM=pUfuOnxOg}AQqM8%B9oG_9xoK(}{rywOg>sPOol6LkM8AIN1Usc=YF)~8Dqa-8*M+oUyS!s@b!8(Gw(Or=lY@(v3 zEGBmGj+L^^WhW;)M@J(Sh0}ORD(71)nH*wrA|?|Pgp{nDOytLoa|ns@(-R#bB6u^}T%Ma*SdtRpAD85BgpIx+NaTHS`&{`TW%oFhau z+}uYY%1?90%)4K#4NpH^g;y6AG^3}AjM&ItA-^gGWYms4$04SqV_-QcETyP??yQ2W zxR8LTFdOmy{!vo$<7BkdM?QZ3^z0=T?%uoY_eaS|_8w2qtTeiWWp^0c42Bm>$ai?( z+%|a1_EgQ+Q>)?O%lEGzKYG3U^6|5GFPCQ)A3a)K-}&(74K@+Uaav|Z23{#KilOjJ z`r*TPM_)a9^L}|~3_US6*qr8LA5?}I89+|1z9(T5IU}p6rlF~O*~IkfW$km4irl2@ zh~?vA%3^F>!U88b=_y#n#JCvgnYq}H?O>6SlM;+dsT_9-F5wyvDM-}hC$&lpbbR2M zFnx@i0DJfI5mGWzGIA2aV`RsP2#APDsTf$;I61k6C1s>#RrK`b*vN2K=kS>sj+2q& zy~icoU!7T)Xf9~`NI`~=^<|fUb{jgxS3u`*Iq(KFMN6MS4o zKgOXw$<4*h$swj^>){^|0D`TMK!31ZdHT9&IR-_>#7FxYsox3@vb}X%`pLSqvz3av zj+D5n=*w*VS=O?Zms_Zo0a#v1XP#Xu7S&4S2D6B~+Bs=OWkq#^iw2i3T{Jc|GPq=T zQU8*$`SlwXmN#zPw6d~yvbAwE7NTY2B7L$&b4E^>Pk@`9gN2Hah(%gW$H?5m%F@y$ zFd{lGHXejzNr@ov3v;|6=bu}KiAVC{g27*XKFP*Q(l;oZkaq9pJxhJ{$Dc*&PTRYj zqk4HKS*2^Tr?LH=h`Esfy~;fgn`<}kJaBXM@du$0py0rO06!mZA3z|u^!4%!@bmTc zaJ}nbB+kesLOFwd&P-QbO-}L*Hyy90y{~^@cuXt^ij&hbva+)>voT?8dTMH-uZDV7 zab8|&Wp!P3Nny%^8&;OKHnL*AX}*{5_}`Y#R53X7?A3|HBKPP!v~Md{-qBvT9~S22 z8WJCT(2wa#wESd+k`ad~uH10z9ToRppz9$#2qQd(A4R#j64sjh-R zD$2@B3vzS8Y(Z=W!o{R`5O45%@Bfj-n=cLSuVwx%$-sH3CA?}~49WT-lCblvS5MrE9` zo-g?0{N^X*)b55wC1ry!v;dqZPgX+}y}YyT`P;BI(ANl9+!NM{leBlhtRu}E^CPxn0>!jt3EiYgmh z+PZstdb+z|-F^M=e#}=tc!GAeH-qCtT{WZtS63JK2kY*FLOWXnCKBiYK5 z!lH^+_{8Q~UsXK-+|yp$(AqOM+0f86u=@Jt)77b=h4=55`#XRjnu>~I^v+-L&&Vw) zFKz7ZgCmEAMn;B5M@GlS#z#lTM!~}n0x{6r*9+#`ff>K5qO7DKJ3TEqB{i+858`8& z21CM!Mh5%)hewBo0SyhIz%<~!y%@Q+G&a^&HMaJkmsX!IAY0oyt4nI?E1P=z=GOZv zyC>$JZq7|kO-wypokg`l%Ap8IZfd~&@Z#F)?tY+J)bI$vF)@LjoS2xH1Ruu6$3{km z1`$AQJ$Xj@gl+kk#oUd(twElPD_VQvmq*I1thB5E2R0*4NbugSEG|VC<+0QUR%~tZVEUX$`-Y zI5>eCN6*a6&Ww+tF;fAPKq3(E-u^ydFkM}Uhg+{+zubDdx`aYZ&CHBKVMCM4=;;^z z`Tf(=Q%KbC=;+i?6SS{ya(Zg2zoDYEvU6y7Xb|2%JTX3nM$e!D91NiW0WkqYLns7L z8oal=w;Kj+Zv%^`t+fNd>qCu=BlBXa>g$JQ78d4aM~5eYm_U!Q(IH@dC?F3nP382ZJ-`iZ#)_%wQ?7d|jDI)QF$9iN>+Pfd^Yw01Pq_6(0r zqWVV1#{k0VDKwZWdKx_qkb&8bVXO$~49pnb-+Qq9dVBlfeTc!~q0#Y)l{t7{ZCQQW zfZ>gffnLA}rzR$6mlnoQpaRj? z)e1B7ETHKb zfM#xf20)%1AD;k5Gz{zrAVMJkCa|L61Be0S5NdFA7=;=hN00RNB1Zda8hQ|elk-!f zljC54j*NkxV2;zH(B`fIB=AeEb(OW9?e(?oy`34RzV*FGL?3c+WPD;0*u_ZS5E{&6 zY#22-H9bBxF*-BcIkYf455zJ(2ZVzW&)h7qYp`a3odW?44-XC^;iv)lK>t8Lu%vDn z45+Su0MQS?z}tIZxtT4nmWCc+mYA7>Wi|}l1^77D-(26?2}cfemgPZOTk5K+>l;cF zvti@os6NE#IG8b5Ib#SEM!_S}4s1X5<(X;OkfE6o#K7P%&@6iDK#WsBP!q#_9o=Akc9pgR_kqT!3YgH` z>@0d_4t;1lBN(3u#s-7{#sfTWH>?ZnY`|SN*3~vNHZ?Z2w0CzQVA*L6@Q&I#=qRcm zh;j%h5(Rv9Kk)Bh;bWFU-(W{6ILNd#=Eo+*6wl9t6@nZZJy??CV+Y;_xIbhUY;*!% zTMe8%C>fcUUtF9=qk$oV1&>)OV>ZGblA=Q3s&jL)%967Nd%NMC1N~z_=TmbNh@k>e`x$8^EgQ17Bc{NCXOuJv4-wIc5P24h#+s180G8 zG^0a9(DDZ46dE7|TNn_~!6pV=E@tNdni~XG)C=}*5FRzw*H>4Ul@#UWWMn5K#s}0+ z_Vx~r3{4Do4^FQ=n&<^vKrgJlt+AmFBgc%itfGRF8n7KywZNLHVPGKv5do_Lt^@cE zuv`Yg0tNyDs~G$n9tJz<+}zaI+&rQSJ~lZ9bUHb4uwfiP1=MnQRHQ%^5^ z5Do+J2%@jG1FY2^;57RBL9Bv_xB4&^iZSzX;7eyVUvG?$%?$PK)~-~ z+}nYc!J_E}!4_EPO(5EWlojM=BqvA2!~`dXT)tkg@p5`@ae4FU9HP0Q3$*KKYpkg( zEyx2weRNbrP-1O20_>4s8=ahh_Y8H_v~;$2baZw?51d&S_<&JwTU%F8KXM4YwElK) zdvSFQ(FFtuwgk*(2mpYPW&}iLs3D+e1PDDqFa+yrYj3Wvhd|1U3Nq6ZV#0$%14CjQ z_TQyFd+}&<9Z09Yr4g8YCkO|sD@*cn(ozzm!o&RoN=H`K9xkH?$L6MiAwtSK+L~LN zK}^!r(AZetPzS8Nt{MdGbxoZE<7+Q=K7M`w?9DS&XBQL(zA#}c@Weov2dk>L2P0fC z4H%dRaI>{_=`UvYUyV_khsZB=y*q^h!_vb3lG98dCca|6H1DTvNDrmqJx8iT*C`n#}<~BmmiL{wZIV#HH}qO zRh8hZP+U-$pO>2n&I$*KiPYlOfw}e7rJ2$3>ABenWLs@D1X5XkaBiuqsi~<3p**Cb z5(25IsjaVTY;0(#!K4QAF?xuN4hi;k_cXodeI@nIof}J2Lqmw};>^<8+Uol1s;Uxj zV_%q=nH&`!9OUN~mYml*IMm&R?5VG5>4k#mx1tmyksNT?OG^c-A~FJ#aEZyOYUmjq z8R%^5MIie+nnB!NT#yfv19=62@(+>(!0YAa6%>`0m4ZW7Wf=(TbHH@sFgMD9_nkd& zSejbJv+X(cL#nIO5>ku6X|SlgxTpm5%*shkN{k8(4DfM#;2D%r-;|YDR$EzCTwVcA zP?&RFdMf6?866QG0?xu--hKf=(doGrO-&kdk_k zP&r7xq=IBZ9>AKD3BbfehlKJsTu{ zz{Ek)BEZkfw~@pW~+ zV|mN|ikX>)rCb($R!VSefOk+hP-A>#bbL%gLTqAObaZ%7fYa?;)^-jq9@Yltt|1^B z69@89;h`bH!T#W0z{mT6yUXocme;PCnwpy5v~uta2#X2_Ss}lm@VGdC=g{QXaBxl! z2?_zZD{0~u4o&mDBKXLu7)oS5Z}>*nUB z#)bxZdRkh#23L%Y&2QS+T)U{Pf7QbA{w*y--yjb!KX+GmcTXR0&--ro?mFDEwYIjl zw7hxK+Sc~A^WA&y_wL=cwlLP$*VfWdRaZWzA%E@)P4)?AF#N@94i4_lHjZ}IPIp{9 z9z5{yaKGzltA18q{+znbCDR)>t!->cwpmke|?wRH7#bu`sf6y;^5Wn|?P zm6eoLRTLHEvPyLBf-13T!k*&kcYuC+9j4$i!>uPFh>s&H4Ff_km zb<@n)P*3}UvZ5lmY>_*2`m}(Q!d^L>wc+{mvP$}(k&d3W)*aKgif-v zbMc>&kXMkAIeSh)T2fq0^wcS_GcwXrQc`CmPK%137Cj{-z{_*;B%c5;_em}eE^b~v zenBzuQ>Uclq@`u$)eQ~KiYpix>uYMLDk&?^LEQcPrTLs_JXNCVS5yB|M&-owJ$$Hu|J!UezKf{%anI5{aX85JcNH8b6pH9UGo zniI^-jPxf?oS>nmq97+HCnGz4oRXG~mWGOwlJYn)F##?%HrD?8tuM#s#7G9H30D_4 z-r(Tue*OCD`P-cruXi@rA1%&|qxxNM-Mne2BqJp$Atowy{+#G3IVCAES@la+E-v;C z_q+q5(n}jUz|9D>vlr~{;OMoyvi$Jz#?x0Hv9Phee*KD#kN$D>&-fq%djua3 z4;Kdq2UP9vfByL4!!8ys4%XL?+nbM97C_`Sv-0+#C82)a%gL6${#H18u%or1q71X& z7G$NwM|j%bU4TLw8Vb{*eVp%J;^r|63h}V_Ow7-(9Deq60yXmzmxPjC-o){~pP#qq z1DE^3@#zKCE$tm$z5R%hndP-7o14$KcV0eOLeDO*tUh_ZwXyMJeQjlJeSK|t0UXa} zra+W7G&(Vc1osSWZ4G4*SdBCZG@-vLqp%<)t0cwW)BWlNy-R8e3a43V$v!VWj7+y& z@RDaCP$gwti`P4C-0^n&JgEtaf_bkr+;4G0RQpBj7C9{qkUSk76$PV!tgfx6uWwLP zTtZ4tNkv6TVKJnpqA;(ZxU{SiT-(((x3+eG=mbQc^_3+h#fABW#YOpG%ScX$j!8+6 zPb`H535tc}#0N)2`Z->eJ%KluZfCE9zeGXRC^Sq@dL-J_#5$>KaeZxm@*y@A6Fu<` zyez*UJ1wU$-QOuN=02NOcx3NWGG2BDrLf}ivW^uTQd(9XK|XdiA;n8pcU^B=+c>$o zJKLI>-EwogbI08s6gb{?_6?7V2YZp9x4V;_{asflhda(TS52>7(KorKL{BS!!`9l$ zP>f_bU%_QvT&evXj+~T?see>bW`>Bajf+oIPI+F4@mV?fQ>^qX9L&_xy*}PmS6x?M znG3!c4vKQ6DNybd-D4#DuA z&WD@3N6BayIrv1R&+A^&Q4;6p6*_ZHT~%I$i+>)dtKJtEX7zItc z$f_9Cf__Uap{=KF7M$Nun-k`0V`by$e8`uBHMX$wGO2M4+oB62 z?%uw>UM^Ob)#M~Zg@GsL5jZ8x%S>@}@A-UxT|st!Iix5l#6KV?ASea;nv8{$>m;A3 zyq2lmZ98*=3(99@Bu?>jb1>7A;CStx7rKQh^iHd)PivO>A#F*xEV!g+)h)`8(gx zSCSAG?w#5CgoB5Ry|=r&hmCjSD0s=`IMoSyYNGe(_Np4#%quKl_IO8*kua<6eLN0@gwv~XlZI(P*XjxqO7c>bWZWCyez;g$iqfYL5TGdT<=%p zrpCv{f=TC>R@Jw(gVS|KdrMP8eM3_l3^B3%>=Q2GaSCc`O0r{kpPw&{fy_+}xF!e3 zw5qD=+J?5Cp}D6Y@kwZyIQfJ`#SRoCjR{8qrgO^YRn;{>w5hA7r?0OEqE&5xMIB%{ zuY#fT=T%kJ0I8}dDauPrhzOiyW1v1xi2LRB<|?=^MGass4ZC~5<_~ho3#(7Jfm{fP zkApaj282cAq{oip?7e%jv9dTfGd%;Yy*EJve9Zb`=HTWR5)lK!0VbiOqChzkfyL0Q_R7^4*qrr zD~8zE*g1et<>BQQ5CS#>f=i$#Ad`c6{|6C}??3d91peC+fc*{nZx8-&cl-$q$od}A zZ{^^i^K1IIIsJ_e2b{WO6@E|hm^}0!=y157i~k0bKQzJc1PuOA4z5lyH40#3`aJ=7 z7)*eEVE?`QPmq2b_OR-YjD9WwY@vTZgu&7U1zYwvIuz3PheJev!Te_?V0s5L_*VX} zoIx9rEDz11yUJ@t!?EB##lY9L8i}zbzLGtZ(W#`1tMVx3YtX z?+3y>|Ah0$N6`BZGY9g<(04Y!>wY+z0!SJBU=!b4e24Q}$xmnwAAdLCPY)Oo{a$O| z`TU9@ruV@Ne~tDxL;c3&muUVWx9t;*)jHUdzHh+@k?`+|)?$3?kmv|1P`-`f>p)r%hh~_7$9K!!aub+#) z&-U9yzs(r~^5>?1=lO7o(4RH*ce;LS^LxIB8uDk0lC!UHyMu`=4ge|CrBTTfl#qeE#Fi=WojggZ%K~ z>8}O;Kdb%Ai==P&UVq~Ufck43e_#F>E(a6-?F#pAu>IRj0JwvZ53UCfKmCCBw_z|v zKMnb>B-bx^9bDf3IsKx?|G4OT*5VH%0UYw+ot1W3c})HdWL*wPP9Br1!PIm@!K)@e zU$OpSnEz41p)3v<%E`$d=93PRO5YL`-#&l;0R`wl>+keGV*XQSj66D_9dh5Yf8Q~H z8^WLIx4Hvd;0+qNjt&g4ACdjJmVc}HbL^NF^0MI7oFAtDF9?UJ$Dbj6e+H5}Lhn9kzZ~j!g};RPt?*}A{Fd_k zA@TSpuztz+PuhMT^_QJ6_v#q>R{2+B{7D_?`6o61Zt($zf49>Q?GLl!e>Ol5pg*ho zUnu`=c+Ai5^xL??JpbuJ%0aHtG{INTjjq7`P1hA6`y~v{!iKb(E@*N`tLFNr}h5>m2zTn zcwWq!r(*L^*TivPb5@>0UBe=kIUHp!(QR)ZyN`oja7t$pHb3#7LCITZCl(v?J% z-cAsjOxI&KwLfr1^J`W>x&>``MGDQ!%1wnX(n|be3YMKxEWZ^3$1>W5*99b)<-H`M7SyGdSbxnw57sF7rtd%{LwJ@^~2i@EMO-P~O#l9wAi|5zI+ zHUnqQsJf?4A5JjfdqUL6wR;&wl}QIM$&RPh_m6UlGM1>fvJ~toQxsA#SCMR)Q^*&_ zuvK(-e_%P*wnx!UH+!Owh*D4Kn3IM{Dh!Y6ns}zfjM6I1+b^A2QTBUngxIMS9i-7W zgUQqI`b*Q%c9xGI`|$ROrx*$haj*>a-mbnyRTug;+BMkP4{b}mP?%EQq(O9!Pz%w7 zs++40)!T4u#_goTSuu%$UhH;j9}4$Khs~zkchQQWl)QF8l6xzQ>{0q!bpgH(juyoH z6^w1^li|~S6ES||RjN;orh&ljV7CRSSbhJ##;!VvH-Gl{j2x{W z$aVRiw^TQ<+;u3OAfr&CWGiXxF-_U%u-JQYWZ?Ip>?5;5Lw9)dHvCNfW@SjEsD>HP zcdH`@lajeTN@4%8-WfkDzT6x?hfru03eiy6Z7njVva4OJ-$sQRFX0Wc&B6O# zoxBT|33TJdH>?)FBnB!dvmIQM2`DS5gxDs}Gdd4u;5}9|>owD(0lu*mhOKIAP7bPu znw-k}>`oA%08&OmP&n$7#oSxNbz3Q@E#i^6MM6=GMhQ=$@isI28`Q&8F7gA|Frp8- zF-m3z&Gyb)hHm$GP#3=-)t(n1dBPsgkYFp{z0h+kze4RTb|5+|j?RBtWAO}|$`fl3 zpe}yOS=k}q?+D?lmrCEmjC;UtrpNIR!dvZux%#w%IirvGjunzU*Y;RBugOT^Y;3cE z+A18)5_;#|Oem>Y%HO{xhE<9PDj;@RB zCihrbg|lSYs0`AA7Y=w!8Q}!q1w~5$gR*6BNg7s`VLOLkN`>_HjI|c|WJuO36sT<* zbWfFhf_iB1<|1cOHB(%?6SZ_#ny&jUr9$SnMz+$Mc%(JC{d zQJeY{oCfq`pjM#=khx-7-MdJ zKTDlXX*aZ!C~+i57fD^e35<7qrMp3MaeE0XA=Y=EMYu>3@ti;mh16#FF$XXXCnXkk zI;v{q#SemgHS&c$FFYTLz3u$fEwFVG&K0Yp_S3vra_nCWA?nQyO16|eZc}*sW-0MO zd~l6SybLY|1){jw2Jv-=UG&h6^V$*9*?+%Oy5C-nZzc+0U!ogRYq2nf@(I8$bHm`7t{~D9^D$F z#+gX6S@^6#vuQMf#_1KsZac^TDkz9#d&>A+!)J1Y{AucIbG;G%3D6dYNf0NF_n4Ba)6O&T*@PM{G>#fT-P(Uo`?0XM;(0+QzFFs= zzN3bYT^fveeV6;&16SptN4UOIgOBOf2$qMFHr(CE?CPbkK6HvTd$GqXLVg8eZ`#5) z-0X98XI@Stp(qA8!g;kjQ!>hoGf^K3+;!z+_sTEmA7b`a(Sy~JGv?_l4S0D2acU@9 z<~uQ{yFSpNchi27As3Fqo4soJ?}7ZtL!FIblYa2V~$1su_T17R~YI zX|{iu(ex6n1%%9m;|s|%94Z-)9*VQ2;Xl|nE4wm*zpvqtvWz^W;i-b2S{KrtK|H*S z*-oc%Ohx=%7Q1>fd)j#j$EwafHYPt%zu81opt9#K1&!J!Nyba>LalT``|y+DXFL%$ z$AkVXFGP$4BuyI1-K7_%PQxI%G{x4YX2y|)0TXZBV;``LNbm_3x;qW^vRfvYa5Am- z&bRPY@uyXZ7%{?ODeVaqx6(otfOJ$FcarK?_~vse1}YB56t19X?k5*CX!CN&D+Phs$j0J3;=1bkOM{{Ym(QUr8#*_ zKF?X>fvj4--uU4MSs+uqN{`dwdz88QO|%oE^ml~BiX(KK8D?EGkX01Suw8TpQ#-Au}78+e~4gpms z#gb<~PGYi?qyLU6(!7dTD2*O;7->SoM5i(lej4x)13_9PrVUk|r z@Ytmx@-81us+)7ls?0YqmJ*&Q*Iv-OR3nS;^}ix3K+31+$Ac4>4O=O;<2z;_`TW|J z2-1C}y_eWqK?u7}h#o>pi?c!Dd@(elZE?#ARQtq0s0tP2_iu z7VO-$n(#K6#gmx3PF~*NSljtvY@0JBaG|L;rS886^-*G1>7LzIa`)ijxE3tt+0v*) z4e2lq8!iMi_Ha5dIpQfW-ke;X4z14zp7iae960T~WOGvk2k}#nU+1g@WYQp zTD%4AEF(+>IB0kuyEZkXkrx5@4TMSSX;>P5u}ibjk0Z!Rr>kN=8$+sjK-;QC%Y~Fw z27rENA)L!#KMpM0%bXcFa`HpSuYxa`lWY?jdFQtONTyRytl#7#TeI za7BvJ%TJC1KJE-i190k1OEXzLs}sSR2wG_#)l&nH2c8*kAi_pi9J>*Ifjod7pR6WW z#z7)88^spGt0ac%G+PWR-{nv>2v^IS&X>oi03~&+nY)iD2xl@gE7E+h)bNsMfLv`g z8+Ev81mr7Qef?$L!!WB&EM^n5DV5INb7l^44%C<&?owbQ$) zieGE@NJGIu`=Px(pCpM%zt+>E#*%l6}$nST>&*2M? zZcQ?=g>K>oHxZe0O*^~z#Vz)T+5QT!MUP{uj>(Aaa&_>|IHiP@rI%r^jtYm*-wDO! zg9ta9df1eWJZhmCu7jD5XP-mvj;+QUu)04Z-6q;oYNPbmgGB&rqhg>VL0~SoXT>w!<&T%owVeD27G^b z?pqygNQZE!smxv0%DrZe;y7zGu5~&63WlM)EkiwmjxIMkQF;N}9YPSMJ5=q&;#bDB zsb%KBxZP7AyiS12AWOt@?D=N35GILJIB+Sh;B?aj>=}{gX>Df;dgY9WU>a^HaauM< zf|zPwPs$A^@r9du!#w?K-aNe{p%C=P0MP^$0lW#BY-n?)#+P|Tm8X9qpjk@8aSA8X{47;P2x5Fx$^^!-G#^_Y9xUrwDa4^X*1BUWLL5%ctGUwvMo5Dc0A=27->pgE;pDGZa~}}lJb3h z=gqm|Y(SL7S-dh^2s$NhoL&#yvu>BP^Xjb$J-?@6yIg*c=xZ3A_^TcUbtE~jy|w~u zc2k-K!8nXbGmp7HP+lH?;Nqk=^O3_BUq5{%GL=-i5138u9){sK*!YK%wqU?}X1#-- z7cC;`)Tj^vQgSz?Y=DY)ZsCK}aMBpDMBxP22Sc4u$YiHu%BqFRx`=inA$s4nV2p-D z*x^>i8V(+}Bqa$4nMvf~WM`sJRqB;s&Gy(x))?xmY|C)~c%eceAq_`d@Ho&K?***x zjVNwOAeej@MYPOF6Q7Wb9VWyHSgDiEakZrO?p$IMrPEWxBcVkX^}X^u@}n2SldjA6 zLIqNWNgTvvXvbhhtc(@o$um_gfvN5tE9wbfgL)1OExL_hk<|6eFlxENaGJ~~o{+QF z2IA&LR>3grg_5$BK@4(n~vThl~JZ3PrRXJ=T6A71Ceh4Qnz ziVnw6?N3|l)V`yshe)8a6Dv2RY;tqq$Tldg^I5U#H7wr6b?hC?{79{h;dGP z`lI^>2JCl5r~#r4vK+}IPfyR1?|G@HI@o*4yr+rqX|-{%iO6ixnNPVp8X(Xu#k;aW zzB1jJ#^@GBOin~Mi?tvRLk@vXZaZ-QG=Ba@$(i^Zhw{u2R>o>}dI=an1(VlpSkHV%d@e2FSnY7Uu%IhFQ@cto()4S80 z1?Bgf@%S#fo*ooe&HD--dfbf?WOJzAp(=I`IKI{-wyrpp8S8p;L+NHK6?>?am18=5x}+X572z01h?!NSe_Uf(KyR`I&c_A89v4)|@lUZUA&gRdD3Tu z@Y}OM+?+4$i6ALi-H;_FmAIe{AKdrF*3pvg#ljajDe&zfYBPg}rE+pF2^LYCUbbE<1-167;U?gWRtvv;6RQ4=o+m{@5 zUVsE6_IX`FqA>>Gz?EZCY^D7}paB zb73%z*xw_P%yC8t&-fz*9>SH_ET5gFKd>hu?_bnPQi|!m0FdJMGM^g7b>pw< z<`z>V6%D0Xrx(b*FA4bYy94jNy3K!#QaTNhFOmS@a66$Y1yDYSUZH%Fdpsa)@J{{= zLEwxomBMt)LoETui_MT^Zf4d+3sk5nMXy8@B%4}n&Sf{D+f(l+$XD`#I(H&`6FFsV zZuAX;_fbutx7(dP;kP_8j9> z{Ea)XmqwamoytEef<#Xz6(=%BCswOfZ`ar>9tW1Uq0~D!ER#8}uXZ&Sh(e{pi}V*o zAJ`!4cQTa-dd1$*C@Mn1^PN$X$3mRqC00v#MBJozQ{JjOMCb5pmz1z89}=U9oGSRr zILr~mdfQ&whTGUN)JtKqyP8n3$+T&5zKC3`7t{Cm#*Q=q3di<=1o>8=8mvhmKGQ49Vz2ROQ}ar z2XPf!duHy0S##PTJk6$65u&z_ob{s>Qv4_L;NW|1o+qphw)y7>Fi zGIK(by&C@allk=dhJY|73_qLo?I=sCfe)wS_Z_*uJH^Ry%lX_%Za01&AlgCcd=Nwo zz1DS*9!?Y&VnxPHaJ%lt8+~5drK+p#Ynvn+vqxaNDioEPPGw2&B!Oa#=WQHOy+k38 ziF+ULq;%EK*9o2`@Li`9=dE7JdSuoppb>Fc@6r<<6u>6IDMc4+x9&D`8`G+x8$EwJ z2}?NXoocy5iRLMXEsQIP2&s8Dg4qtym<(m#Mx&Z6<+V`#MV5G)SF}xCPN&qvMsk8C z%_HF;s=A$%RUP-8D%Smaj)dF13fYet-YMg0&FP-?MF9^UpY6=1=czT);9rX+3i{5f zMCbB8=Xhpw)maKz9(gPscI@({=Tpy#5f1B)vB?d01+mj!o&-Sux$340ra9jrRNGE< z+mKCl{>NOsejBj@{W=aoKlnXC@Hjd&)80yG+cKntbTpHjrtk)n)-g$4P6%Dy z5tRbE=^Z_*eAmZWrdC_hHe!Z7AaC;qz112TcCrjn-fbhk1IpXAbK;Y{E-%}5zrfxN z1lOLU^W1hf-ozIIhj(LKavTF6{l~xe5k5JbxzE&LP^qjd7%w{cT%$ecg>VhB`q!ml z{!x3UAC9Y+Rrw5w_lmdo@}v_J)~=#ELVwelOP4>q*~3<-!m%6wuG)nn(7djr<992* z2gf6C%BkuLDa&~le;yXUc?@E8mslId)X(VWqOa0a&&QefHExv|LVJ(YUAaH*)^cZ) zUGbNv>tvP5^dwaeV{^UBecVhRfo;FO(!dh3d={?+8Z&1NOlc-h^8 zBr-0%1Clqrj*hdUV5`XZ2Isv=DL`8=%{-Qjq^NG?b)_8bY1X_mHrs+fzLX9qMUB}N zSp(`nWOyH6&2aeAzmPKX z=|4f588f;=$0KjtIW^HYRts3B;)0J4ltihF8$z+_d+w9|4yHm|yR7MJP(9-}%y#jL=gSKkW?7Y=XT%rZv@Pc+8 zeJiKqR(m$XPopU1DuXL@_nq)Gpy|#i4+J{*lpr{>`M{dP9yD_b!sO-~T3Ev>Cb@@Z z-sDvPB^P~LzXxX`yco-UvT4>pDT6abs(n%&k(?T25=2uv&iDuPu_ktWbb0Q5?4#RP zO2xT~m{ViMbA7`s;imNg$-5WS{)pXcKaF=8#`M1IH>b379;LPr4VqKK@5n{(Kr;90 z2P~Yxomp1@WDe2vK~tKClZ0j5-ryrFVSF)(94K0F9L!O%0~T%P zsi8tOC&iWjDD85qgug)`Zf>aBd$hDUZEJ1ypvUD>KvQ;+9G}Sx4C>lx(bu_Z5 z+R(Z#trR;b2`iW-r2(Q6vP<#Za|yedKv|l>hzFV!6^EzcZsX7eYta|X z?}e30w6Fy92-Q!^8~AmKs|SvD;ld)j&WzQ49&>Q!6Fg#p@KO?sOJm-ZC4_;M-LvIp`n0DQ$VRGcrQlb6hYtC|+**&w1LYxflO=h*f_JpK+QbGKd zm5g1P3t?cZT5(?5SQ+;mhsNcI=M$%Sp~`zQ`dn~w@n~V=l?Yo?vRETYeLbl%8QG0X z6}lQ3TJeqQir|?DRQ@jUj@E?C3k^)Gu0%6s4IFebhJ>ApnxN5itQf`&wH7nPh1Geg_bPYTijRNtqRY^UIrWiPBrKFabM1_Zc9Vst za>TT*-$jMhQYvo{+YoCH5v=JaRG%KEc$HhR*PrssBZLqNz;ej8d?rXJZc$S7mQx7# z-f*?I?&xNjGE1K-&xmZ19@Y(ssH_Q_=W?}8v4}STc^NN4A&f8&kdiRTNJ2_Pr_!Mn zGdXnl5xO;<qhov2|Cl_U7yD274}J+WR`n7HH>xT!Eb9gj3}Ay-M( zcBpGqdG~Agb@Rd+LX%s%YMh~akQP(~7j z>jI}Jr86@HChBL-6KeLFt_6G+Ll>*!EQNhZtz#twoB%oSBhRyi=0n4L%Q@j0h8w1J zwO9dw%P9N$8+b$h6=<71zUbhch8b7{Tf7Ne#1s!eNGzv^~ zDxZv?(IUu+&GSQHZRw=3WXA|WCm#?~Eo3d4iOXSWa6an}yS9>}%hf28)6_p}er8r3 zFD^%Lw-QM459P-|89Q>7B|FtzHk0c4HEBX3o0||#J1>Tcdn)X4Omok4p2Vhe1+2TSutvDIS00gjJrZ8!j{oSPwmMl*j4EF~YU%|Ng@oU+TB zbta1OaQ5yjH@r>alEBAS_PeY2JE~u1UHicD3A1D`{F2}fM8Hc(z7LsAUU&D4^P|pn zpfL(jv7x-AT@fMOQ&+*`Q;rPW)Mh=DHL^u?+Wl{-GyR-C^r@@7)sATV4t##^IAvA* zO#BybTu=<2_k$W}7kJB7D=dE*MulTReW3sFsG`0iQV0ba9%n*DJd!bX#hG(9?JmVD zbsqa5ugN&=1Vtzh*mAFCSqoY3O*u=@lQRN`@K`FDVN=x?mr<*vl4BPktO@G`fzp~F zv8WTiyVc`8Qd+Z1vzeJ{y$QPs$&8>NG>V(7CwMiW4=~75p)2)0rgx1erZr-u&4W`h zro<_iy$Q5%)uFCW@3ddlyU{~o47FDlS=br57l0a6o?dfwFgZD^Kk)U&2aRv^Dk_{y z!}{JgI}dVS!pK@k%eI$|^v*me@sQO5g=v~)N6)f;g8?-=1hLUF^~9C|hoUbOZ@mep zAi4UQ0wpRm{QadxCd~>u4_x{a3H}^6=1cQ0hvnw_Mky@xgzuB&EFkkcXxY1>5)aHA zlP}Cy8eS!RqAeLtD_g{V_zk6J+d(C@Ka$1d#aF;FUBSc0rlxf^ILn*NR`0{S7C)k# z`+<&~s@w7;uG66^n7ye8;j1dO!vo!FiwVsnaGwiVADGdi|Kpb7wxUxQfY6MlDzjLc z$y**gT=5d~$Fh5;pGlmAw6G|$${LtSZA!Q9I`;(`PD|*lWzz{$mL&*-Q};4xT!&Up z>bjErz2z{h18wpG^ylXQpP#G#^i5D%W4oI?=7LgAufOb zy6XJ0#M@wGu~Og)J6@H`%2CQ~Oj|`ZjnCu59R$FLHk_{z%z3twDg6q~SdK9`S9U?{ zJY-ini@ZE84-^1icx-VeHDPx{_nMhr(Lo@T6)jO_9!pGLp$&8Ko6~8=2k2_z_Hosy zC3G(q=&{tiC)?q)DSE1Su^Sf% z>%ZYm^-xY!s=?W$p&{9ZVb5Z%Ha}1E%Vt@{F%%{0@)!0h&@i=e?hl@lQfS7g z`7osgZRs?`-uI!_{?of>)8?iE`7l{D0 zENiF~FHUfip-N}*hZYMA94BM=E?;;B-4wh=)z_cIlhCfu1zQdJj_J6hj?f10Hea{! z#x6*PJMY;N?S4PM*$;+lW$4Ux9nyxS3KgU{0wNcx6}XzCxn%Sad4ESW8Zea1c1MlR zm_KKKarndCtQ%=CS8-^|W*_3cmpIUVhREa!m*egm=pWAtj zsb=Te9ElgE3*Y)?sO5xW=0ww?Tb~j;x5>l_f$Aa!NIt~RzV+4dM%pi!G=JC6$6oI4 zCK1Oxj(pL#`r`jx=gkt7T}#_C-o6=A+Teh`ejsDLlNllgv|B~mH*H1_*Nr%yi2(V#k)J_dEtHH*LkcG`G&A-EYw$v@+%99VN*Q_#4`T>x z`JupnK4+pCccW?NOri4G1=pawT~s1fS)ObF;EyC?4h-MehxP_;6SY7Q&cL5^OxdJ@7wd)^Uv*6`LD+^!~ymqV`q!+}Mgj&-lfq;kS5| zhGfDQo8NO(MSl{kMxGHZ&>d(J1%-)O^(E1FC9Ib&$?Y2(5v+usgb3_Z)O{8 zsCrbORKCNk1HlDo(=WxzOKSUhz+KzM{li~gp9216{1f=8@R4ZVEC*8RZ)p{MTi3;N zOIu*9Df>sqvNrZIk7i(R2}BjcK(U%})d zQFi*0-?`c_4FB;76kmCj5bbiMOu*QOaNm)|{*w`86txv`R)fdE)|C@2GyIN$tFk2% zS^Igz0+Mv|R;cl(X;beH(4$NDI)%E?QcE0n&Dg$%QsBq(pAVzT7&5;&)^vh^7e|%! zlJP&M_p8L$(e@GlUP5+AnBI5jg7SBJ7@#B*2Ian+OU734r;qRa};LSj`v1Wh;9r(wg0j_y?_7lX&0?E_FZE0FbA8UPgES zBt4%h>$b}1wy*Ecp`i9UQ8!5axp>uI>Mk5Xk7U!mZ};iW(cEN!zUT| zu2JaOyh`VpPJcL4qd0UfTZ^Qls9Mkg8w6KajmFfA6|31B<9sKEV6A_nP#J3q6WkVy z4Tt%##olu*8?7w#0oQ+zZty`rgS3Dnj8V|1%B4-Ubg-ObI{3Rc>0e4oA$in;*3Or- zaF<`6U(4C3F^B{pJG{QhHR*}t=@bINTo*wQ;#v)}I7RsCu$@#~ZS1B}!-YgjFSUc= zW5;EXb~PRo)`jJR718QbI|)HxYf8QAS5(!5mM?m?kS)56DhvA71U=E%Hf(>I=b zs#=3X)Dg%K6SaRX?`;HJ8<V|?B!pbjUG_-dNgUjr{x7A){dbN-W-tKqr);c;kJ+4bD2m^G?c$j;x zq5WFr@7ua&#`m;V+Fxu1B}L`<%2tPi|8FYI$NH%A$${{6uPXB)D<>T7b$;gQ-bG@D>dw{`YD92)<>d5sjGxQt`HE*TwFjuS^U?L zM>jFO0Hq4DnXn;A$m!ntbofFgggaK4nJkiiK!M~8`_N5Tk)@uq(i%`3cx`?WE$2%5 z*X&n(|6gPhrS}Jy%6;*4S%W+m|9cvO5mm2b??nCiRa2c*=DfMy(X%NZn0-IULGty- z7U+0|xzh04lTh8&h=1Q=_D@`mNhA&+o8xvV%&3SZaZ6m8=M}cvg~8(_?G`5Tlxd2GNp1`sd!}C`e|Uq)MiMF zhGUZ6=zT~ctPZArSO>%S8~s9!cJkkn%I0BbWBeZ|?9?b4`pECJegE*X{aE;M#DPd; zcDIIlixjwUU_=C7m9uo@;@GK9@8a`17n(X^q}9$(we**?&`PI<%N+= z+#x=mWc)g~`3?QJMWSf#t7>&V2w+62`3QwaTo}NOM#p$>B;=nfarZOR>GL;k_T;C) z-#-qmwI=66E)@KbScTTtY+lh@HpX4gKV5D^mv_z#{|cA4@TcIrFlXZ_EtTVJ4;h{V z95s=CSx@QD?-Q8RBgi=F{#(BI@|B^TNB&QM>i!!yqX|k7dC0 z_EG4$;8kf6U=#(%Fi zo7GYvckK1`Ff0>f8F(5)kJcz==ntm%1|G>z7r0cb7)-c1IxQ3OJPQjYsl`D?jrLyA zu#7sjp}GGE8PhkY1fx`E`0`TEHW;&Bv6L5LSy!fGI)if>Q;`@FTE$;46TyR;%zss? z?Kj`^JpWNav_9u@JU_W0nlwLM-TCt;{uhUXbPndtfBuUJ?s~Q}p3ZpwigoRbUqH;s zM;491ikT!Cy5tJue{_KF{oMec{VmlhJL(JszL1zh*OWHGv%CL$c3f;Hj5hP3S{47` zad1YPMT?E5*uAp8NSRXs*soIj=s{P|Bjb~-hi03787@*%Q$=g2=o45~fa$5-@0TDl zPzGeQDgb&wg}-@sXWaiF7DIMpA0BsJ zpT;HvEM)s#$L_lk!-#)F>?d4=Us&`gLM%q##L~*j2-zBb$Wttt(pDqk!*z@u4K+pXrTg z8S@ZLC_d`0L|>Sv7x<%HJx&>Vn;m4P6>l*OQ*nG^u+W{iKC`lfr%{almGMumbLS!8 z>_^sTjcg~<{fbtdG4%L)FWEggtW1i6+xR3Zte;sZo#{dr?5atvy=_g>#30i{GjZfM>J7ToORQ^5pRSNs$p-x?@7!~J-u*e;{tm6Kv zKh~%(*Py~+tBxEdMv^d}eepog^(E{u<@_M`bdv3BM^cAm&sg!;*Q5@&{)EGV-!{ug zui|W^?6)lV)9ttO<T}eVV zXk>W(;}^%!*HesWkgm1lD1EFccUM2!?DBLEMSSu|NY0-M;yx00Gkoi^An40Ko+3N@ z+dqeu9*h+pjVljm!Ha|O`^>*OFe>T1lYU-o$e(@<&BpqSBjp@fTbU872gm(70QEMK zS+xJ_V*;Gb$Z<{`K=$U>g*%vkH0MR_iX%g(14A20tB6aEI^%ozK; z|DmkBa~ARluFaG0uR~+*JGZ<3eLO~$r4r=cw!WqGhfSsnwj`>unZ>U?>Jl@1i{Ji= z*nj=hiac6YYgr;Glv>xMkzosySX*biZAYFo{4)EQZWi>f!JjU&9FllFq6rIk3#oc) zOw{qk#nTnFg0dSj_jQ*}>-6#e#_ozM*s3&ngA8v4NVB-Y%3?N(mr*)2gW8^c-h2`N z)xbi@ciV^iN1B$2h@Pa^@^yME3pYvYrP4pyHtw`S|6Wt!+Y?joP<)wb5=5wJ6(n3$ z8N5?huG-G8!l{1gA0g>6TyFmvVyQ}M)jphs{=%I~7J(%c+`g6n6+!C`-G{<+`;iM* z`Wj8l%+Y_oD40I+CBcQ=G|%=xL9?BXdsj_DYx&Mn%OsSN*{IS&_Ck0kSBmQiUz(ThAjq0U0f~@AcZ;X ztIs^ek?Tb?Kq2ho`m3w+(*&(eG(-nC8~%77*{AiZda`qoa_--MRmkkDDXOl2+XVf7 z9;t4P)xC}WDrw@A^*?LP6T3Q1IunMKwgK2dSdeq*EnGgrlxa_dsh;C{245_NXZ=2N z*Z${?;mGJ_v7*#^X7?8#51&%5(3Qe}&@&pjU+E_=h)F>bLf1KeNBM`{HqlR>Y?)2g z8up(#h;RkM*B6s!hgRocQ1foJ+Cqb7IWcb`H2^-7g>iXEDYQo;VYW)A+hEeg!dq7j z3I4?=QjTF3Ks2Iv-LvpygMsS|_*bg~`Q4q+ExWYTdyZ@2m&gDi#?Q}Ju=4aE9}SFt zZu`n#;%02e!nza}Etw(uu6=(L#LI5+*dMB9uOnq|H;0H|K+Xvh1z)vK$n*pUw?yj` zgAhP@Z&(D`tu-4h2`FIl&tDULTRaqd!~ba%fb-LTLh0|J!wLgGqg#5qmMUpm6Fv!q zhW!!DJC~3&KY8IG+T*)UEvLgxW|zx3?|3=K)MfJ1n9ktAc!%8G_~fexiY}Xlg`;R) zN2^@-y2=+UR$^GjSh*H||*Wx32luaZ>-TgR_tO z=C*$TrEoP^*vRGTnL+L3?#EA`gU75fi|$I#A@-jawl^T{8W+=0sbw6sLCKt-J{s7d!<(+w7L7+P=Tj)2p!fpqwwhn!_0 zuvqGT?hSvl(rmL*FYD}=@R)m0*h-VUOvhhe?e-ghNGCoL`&5rf*YEQr2MJ#;p%ky? zwJ8QHXGEIF!Jto{1T2Ejbe4myDyKstyWnJ*o2C#@9v@QTOn=* zPfQvOSPaQ)v4_3@+DOS#po#J0PxvjJcO){YBbfxWxHNrTWxNncVWGz2gS3$0Os9Qy z{3-m?(q$p(jt^H7@sk_)uC?+a5dYdUF1N3ua_@qpNQdNYqGUJe(}{b5!La0qvN{bhg%uD=V}AZoK_T4svh~S0{EdP$;HVCR*gI5d+#h8~w3OabiP{qWL?QANwm(DLKR;bZ6Uq4{r^S-c z-iAu!QMFN$Ekp!YB5H9L1jJr=Qiai|=3x*4v-xQM@{|j6JjCR9az^_XIr7V9CWKa@UBY>N5m)vI`^^L6wG3MS&A>AU6L#(4H$^xILN5TR&fGY;X? z!G0Eh$!7w7gHiiP>uwC!b7h?A#CtQ{9ypP{VqcV`&LXcsmtrV*9&{^Vf|Gfr{n8uvQe?u8MRw%V zGnMk*HuKhAlfoR}08U9D4bjoS^w_C+kK?ae`f@}=nH-m6rPT$Am29S5A6p{z2xe_o z2iMuCABz{0^BoZJBO3V_JMn23-23VW5TyaYF#`VMds}c9TxB$Vd7f5)Ys}THR*67a z=v-8~1d<3Ai{AxD+8kCsxzwocJ7rougF8V-w`YTzZIwR{ls>r0bI~{^Wm<8?k;+%- z3TBs|2SdM}eG+G{hYPv%>S??$s)+vcE89K9l4J|RMm20OD*w*Hyr=x9b36jmnzdBr zW2k}kRa_{n_~X;~RMqWQ#U~pynfomfNXiZv5rC4pLxJqC?jmVzI&^YSsG$ATDjs^- z#h?i>peCZwOaF^2VaiqM4>XO>S0+`8Y_yk)*&cJz#Z-FKS)z>)w5o4Dq9!fGK9AQN zzpygKHMH~^MjM|H+7z7cYVpqGt>9H1s z*5%0;^!|?p2qR>(SjLM|zV?qX`aV5Wmjh)BkIR|g@`dSE1j6A8hmg5Ljc!e~khM0+ z;e(S;ruWVZd2-nSezll84gcZ8;-BqEpNKw!{xQp4{I-~}-bM8MRtESTEbEIt^QY3# zvN?5UR5U&_o0Vz9A3#emtb?a%&gEi?R96;BulnL@1(C?aAt6($g|k`2rXWAimd&B) zuQ|V4Q_`e1>j=buPu4wBjncE-?wwfZc;_tHxGPEPJzkCi@l|=yIA=tKikLKCutF3p z0`|q1S_7+{&020WI5PCV3@6A=mz&9S-EJ7J@BjN-_~$rXH%GyM)ZAy237Hd08A6SK zRf8`-kZ6W>^B}0jWY3O61$okm#aBH(F(>o6jIjiDzh8y=P(1#G%JsH3sW3ECj_h-- z>#P=PW6ctfjy65wD=nk@5)AD7X5)`=fF$;v^tQGR6U`-8{AWC8Z0Ps3JofN3jyD?a z+aY)KBqX}X(6LmDdB6^~tX@5+{FI|R)R#sUm9Wgs@L=?xa(2_t;>d-Eor|BU6psJb z&YQqP-L?PYw(LU6k|k7#kVK2Mh_omXB9f$JD@j7KZ)4y0ow4u6Hq4AMjBV`3zVAv3 zNu~a0(01QF&vQS&=lQ-~-~aD-pYD5RKA+Dy*Y!T{>pIst=lYy_xo*u<#H8=3VVf?% z>&S0I*@(+w54YZkvv#f{dUd8U@SO;mAze$qgkgysb0mq)6vUt6mTwbpu%b9BIzMY- z(3{BQF|{E#(&_@6ACYc*;YP(i_J$yHopF!*9lAEXs_t;Imv$v$N{Mzyu87x%w!uF8 zQg^${&rQy$&jsQNie|-ROlwaGh>Fd$a_f{D+z6s&Tv~cR%9Sl!mTutlRG|R-WY9rU zjZB@{BR(aUV#FVIU61L(dy>dwvJ=W(E$##J6-RRfE*vY0-k??RBe@`MVR%Z6^76W6 zLaR+2_IB>{tMKgkx~BWD_f?OvVaZlMzOvpQXJB|VuPyvt_vZ4Y1!}Sz=jHjp4;`8^at*wGf&^^370JNKnD;@WAhhnj3SZDO3&8p~>u$EnLH-O#IV?jOoC z89uGKF>P0nbV+RaA=zO{=LM{TIJ(Ag&ym3wA1uB=BbmZ0Hnlirhz_}hwJbrZa2W!0 zG;!SToM#-KWYV*p)OOA7J*Ifo3cuM-JspQo(Pm!|)8cYm>%JlGi8=mR}XXni)+nWg>omG@`S{xKUpI7lWB`t;6KG#?oHcPEe?WaHr=^5ymQhi+ z;DDl!rRPXf!Z0S9oALPT_kq_li;u|HUUzX67OVUWwT9&8u@Ny_>5$9O`rac)Sv{Yj zLh)@<1>&T%O_8)to!1J;MB}U}RjlQG3`cFn&kC0dv66Rb7qD==P z6}`I++VW^=T^ypXSs5g%4GV8xfIE6(jY72?UOL9Yric;6vE-zutqY%fX!iJs?jv#@ zG{0cZy}2f9j;!TinymF^kxSU`FLuDyRWoMEVEHRKw*-vUIx<cWz0* znAEUUM~`?mmzz7T=k7hO;aO zk{Az9QO3=hd#v7CR<>&5r95LiEW^F(mykMq<)a`tM9R@VHSbNG5`RwbmIBohvWK5_ zJ;XZ8{OSvGvP;q}Q|ZY)FZI7JQ=fUV--Z?MFBif8ISX~borP`OlQZ$*t*WZdCdptL z;c@>Z{oJv1O7=IqyMozSbf9VN?e|f$CxxIdP8IdsKObmleo9dM97oQw_gd1aq7!jw z0UI+B%g@DXBcXeTHv{b+)U$oPovYQJJA5zANua{UKk%{E0}fsj;UqDCAK{XoT7!u5 zELZ2Ao;twuQI@n?5>B;Nz@SHB^BEebubF&Bz?CJC8$! zwXIw?;KTQe)jbxn$cszhXOPc+#p*rhCP2i$OVP0Uk{CF=EPw8p??yb4WJ;W&Q1|E1 zbakUJMlOTL0aN6kA5Ef?G*3bFxOa^|gMwJ@Y0_k`{(3J+C(PSYFIG_|UtvjT(%;62l@Pcv+n+=^Q6YJBbe zBN+Fvikz4thT&-r(XO77Nn?#crJAX?r|5??)o7!qH_rClI;@2>&r^tFw=*J7N-}Yr z+^rvdfn1zku`XD_^}?xpWG+*kq0t1e{o~B<`IrylC|D;#V7O*I4yg(vG9o zUfKx1IW>Od_S-Q!JB~o|yp0XIwDuv(x$!e1Z!*?k2Ek0dD12l0sT%V`?8<@kNg4&7 z&LdE5Ew7FhVa0k&{AHHp$WbzxD`fiA5BDXKNS!80zeXgj>2F?SrLt~$i2u%bUB%r^ z22Kl}`y9_qyWaY%k{2`8OLO_<*`Co>(yh9m_9CdH_iNR;8Q#GQOI#@-!u@#)%{{rw z9dPajymf};(I!~>n71{S1oy>3;?!4HdCv9=vG-Xed8R(H<#6QKi+^lTalfLDMv`e1 zaf{wFe#jX%NPYsL%4OFbXb?9Oo_AM~NL}vaabkZTkz4#X%F43ZSlD{*uS+dB@RGc` z&u!6W9qsl=alI(VUQ<>Bzuw*@EWU5IvDcAJ+l>ZNoM7Bhwa@b zizwGU0HxRs@f$16ud}P>kTyNPqO50zCcb!w%4lli&I%q{opjGqKgG{cmNugDx zhx8$>B*qn%vXSwWhcl4^HjXSP#yPSV3d=MODvueBAhXnhQRqz%#XWhe!y8Xv^5;*A zatJvO7}=4fbQFKo=Dcyi!P?a1Yttl#wZJ8BgA)av|D=8FgY?;fmA%0Rp6L%ayy6%J zQmT0B^2GhR<&O;&4!D-QCLkYg4`_P;;!E}^)$?ox65_yP)Zd;hY{sH*Epz0sDjJ)Nz>E+;Za zFWPmvOYADSL`qhCGk8i{k8Vg#tnW%= zn3M<%40Wm4Y$~Cb3M00r?VBta@^9!zG-bOZm`&Mu6(zdb0;yxAA6_hfFVg;w#6v-O z?NZ9;ua8JJ6lG67YeGp^OPnE3_tsTC5oUXxwBRU(q46N($`!kN7$r`o^{+!8%*#t0 zhgUJj(xg+UiQ2lx(HU@DwzCTJ>>;}$xjMtIkIe4w&&pXT-Uu`N3U^Rvzcmx-sD9Q& zI+yp;J9a;T^0~+uYqTM?Lcgq=MUK7%({+}hla_QwO5FI}J|uzKFXFm|l?+KO#P}Pm z`1h?yEF~DLGGBrQ8>t(@gQpLlj}-C7^BPB_ou4Xnpi*pC(l>yL+FWLHGD)k>|2i;R zvW9%YSd~T(De79fs?V)+&qY01mC?@o+LVK===0&nA0OT9x+=U!3}*ec(Q_a&ry3=D zsS>ND2))J9kD+wFF@c8QR7?&8Ek|EvY}-3`RT~0@3fSD=tzX4A#vaD)y!J?cp+Qj1 z?Y_0$k*hE4GtZl6O3df!zO}PHn`%JMz4}}o`j{+pz1EzxlWyh3_$Ymv@7qno!f@ZnI~WI{_ir!DalsX&V8_t#8r$tKJH}Zg}zv* zy;xCYmm6IxtV(X=7$V-ss_1qso-U5Jwe)gu<71@@S;7=$p6X0uq9m20%sJL&d&Md; zHZH5H=@*?rIeUfCNQZ1Nvxth_u;Csbeq2w+=H0Gtk64?gT$kLC?Znk|>M%aD z6NilWxQ99`_WX(U!W)_1WCov<*IuYUM6t;$K$P%4MS2Yw!OK_A8PZgUj0&=Q>)g@5 zQIabfDmbS!XZUzbu8uj3WTV`CaN`0tME}r*bDIt(1++Q0ioMb&ZW0rl>5cCB(2!Po zRJiRh^}{z$^Q{wAo~i8}U3)0+yeo!L1QB0xaex z%Sh}Hc{-zaP9}|Jr72LJ(!yBOjERMlaPqCW%6aeIe}kcKHV+wUpl+QL*Lc)DSm%Zc zdF-Yq8HWqAn@QX!9lo6tk8u zXKTq{(0t`3sB=c>^(}9wx&_JG}@?OT}LnX{&w*{JJpKL);&-_N^NJZGYH zmbYv3O0<~)w@&-jL8mk9_x9WMN-gjrnhkKvgJ}n@P^o?zcuUJNWo|K@mpLU__0-|* zyG;BBuk-_F_=bG=hbMEEuWg8IXSHGE@wD&oB72%TS;OfVNa5rNa&a%!jS#b#LAnmZ2SsJ zS8tq?J#p*+_o-W61IJ-cWzSrTB5~j!NpQU-&$XCyW8zXy{}9$oxZr?E+5fUK^uMf3 zO-@XVkByFw3=aot@yLySt~i7vI+p@C=WRjZaR^%+4 zy!@6>mY0{`ydh|L^Je+&yLT(AtE+3Pt1Bz--frI~++A5+TYLZh{o3lgw{Kp*T9^j_ z0Cphd&GNey@MsM@Szc;J!(jzEnHd>b;NLzdhokDS&8=pb&CD&lS^^qY*WRzMuYXuy2THb81AIXC`o^cvn_s?s{XM#?gR6&^x0jbU#6LJPE+r$k z5C%s#b@Yu)&H|zd_5#Lwvp73BGJps692_2-n3|peo-hp@Ylgtc@|#z)<3srFPEgvL z(PbG?5NAjCu$+d;PZV_YyJ@K@c9CqZ&f+n}iT*DPl#WHcR2SnuASiWNQ}e3g>Ep*F z&fYM04@)nt>zsH`!OVZ^g1U~Lo}Rv;=~E|nZ(skw(CFms(i%*2TW4?o@c7K)^6H0= z8}FCr#|L`5yL<7#!$!c}B?5}!!J)C4#W%paUe8Sq^>*NJxE4%VqT3Y?5^}-&k?_97 z)%6b>A3uM5H`!Vg_VmIb>esm9POH1^nyxMu_pH2vgPx1!b=JuTVTrk=)J@&v5R3Hu z(igAaxN-gJl`Cpm1`jNsI=K0UCuZgsmsOz}JNkyl#wR9c<`?HDy3vKnG0}+`1*K&b z@Y<$Md|z)zYfD?t(B%BmCA|Vx;nOjoR(AM4C-QHA>!Qwhv;R)79-*tQzdla5ifoi~Y_u;!*u^0@t zrK1Oo%KqN2wx&8{Rar@XW@69_RnFlsgXgsetkOHy$Z5!z(E&1Z!5T-_9IUxLFFPgY z`qTG`c%|eQXF{ZkD=%oRopp+<8UIQ}&&+d7R!Lb!^O0wuzuRLodoO>8yGKw;QF$4x zysEkqRt$sJ*43iwn!EejD?(Jire=_;`sX6*vDk*XnzEw2?2NQjXkHn-y1XzuBQvis zFWz01ZFzK^k!#<`{S?vxPRh!jk-2K-;%;wZ>KYakGH_NH1dk0`8v_OUioQON7%@B4Xx3!J9&sQ z__pV{x+UbLB^0(#4BBm3}nZ4N(A&o3f)H%n zcxuq~t_=NhfCntabey)q?>f)V=3mU>Nn3b6dN_* zJd%LqZfL*6OUMhGfW+9);Gk^sb6S@TgA-hpuf2GA^Md-dlOie)jYRQgWP>#n`sWR= z_*zMyd+=E6{B@&yhGq^fKGB)^r3f^-du2H_NHA+?EL)yJH4vh&dhexQu<=4Pe?TS- zzdjkU5%~3{KNQ|Ix3P=yfUxA5GpA2W2<~T~UdP4TYlyP$UTcJVs}aK}bTaZ2is@QU zC>-F_jY8rOuWux#K05m>%tckt#Zu* zB`LkQvLwF}1f9t@(__rV7?dvKhxflmhG>AtyEIdx<7SXWqoE2K$Z|5%RR#!DLecaYu&pXto zL-Ov8>(AZv&)t50>x8HX)A}b$s*i=Mfpl~XoD%x3kidj&XhJ3&jYPNh49%|-k&=;; z(J-+vGwtK%TJsrPz$b_)KDr|C!^d|XW;RUreyU4l_b}BA&qsd*nB5%#CtAT1#y8x z`@8wUjw*C08%?Fdz%$$fGfD`AB|7Ok^yV_q6L`?*D-;F%rdOP+F}iB!G{ zA$e)JEjT1@a%y&UgJk!Anz#t!V+}9oMn!Nvn zz`e-Sg2tYs_YTMGwx3`YJTQ95{6q$=;K52yilU z9pvE`5tWdVJ$Lcybq#Gj{ad$<9zJ?x_Q>kNZM_?6Y7)b&^)ZKa6R7y36KlrC7e0)& zeiTqMw|Z=AXZ`r0fq}8fW1FXTE^b}{AtAxRp4XVUJiQ&Bx_Ekd+8Udw?OvuJCfilr ze%VoKb(5YV#qz3pi~OxHsVkfU>f)J)V{HSNaw*xq%yFI-B&LzNsik&9TT|!m-8;r6 zCXb&!dFJHo?Cj#<>EQ+O@o;gpeQIf>ucz?g;_MK^3AM)^)9bsam{_Q&Pd@Ptjfjkn z1Vh&k;^PI@Rz8q`u!!jRnDB64Yb)(5Y9<~*!2!OI03Y`Nh>nJpOiS&d%SXw_jXh9q z)XtHCp?Ud%kBn5-s$L1YRZOy-7C$O?MNa(MOHVg9cNbSL2w>XJKQJ&bBqT5>EHWx4 zHYPeMJlNmM`NcEShZZ-E?4Ec+WIf2hdzeoI{Hvk&AaUs#nHlM+$%%2XgsNd-k&!Wp ziOFg4QSs3p4>j+*`#5`qC&mT^gvTfNXlT4}w>b1k{F?lUZbvZ}s(Qav@B8MCFU&-b zc_f8R(9j>(H8y!<9TOcB6&W2H6PFktpO~1Cn3S9fg{G&aLDN%`;-f+Xd_3G7 zpE)>~s2wNk`?8P!oa$Bm2PPg#g(an6{R`&YOehqZmYSBFl#-H~o{^QFl%4{4sO#SkEfOT|cUO^G8qN)mBRZ$7V z6BLw#UzHUV<)tOXMfus#l=$$V0EmyLtCx>gke58KnsazoaS5!V9FDH7K_IF@-7;87 zQE_omVL?HDA?QhdVNP;FQfy3+nfg5k&*0dofRL~_ILsdsmVoGP!PHh)AyF`BY$~h_ zmJ=E7EWs}#qkiLoqgQNZUNNky28lwU(RCQ`2aQ3aP_-xo5?NhcU0Dtw73OB9CdEZZ z1P1^}{(*`4QF;o_IaP2BwxJ%=)C`tu^`K1+99~&g3WJrD!oX)StRg=Rni>O*@v?J) zcsfIZyh4-WE84TYqOwcs8&McsXL}Q(AU!EIwgj0L8ESXyzGpx{N)9v+21nLn>KhuH zTAG_cX>4r7He&1R>oIjGB)qz&s=ORVU??piCNd->C@?HKsSFu;<$hs1wxPKN?7BMI z+gh5N!4eXMsHq0E%geV6SW#7&m6@KAo{}CPn;Hl94PlAJMJ2e#u<)8{cw=LIEv93z zDKEdI7}45MUjc>KLo$mC;fU&5OhZFsYfCHGEwr__flnORE`lvpLwy|vQ;VvpD6gsl zmdMM^0*;-KkdTy-U4kx$Xh7=Q>f3t2CZxNywWA%^0uW)4z;bZFD(FNd8dFhHl#^3b z1k27Stwz97lJcusFxaW0mk9;s7))bJduMNRUS3&6Q+sR5maPx~2x(+6wls zT^;S9baZwQ_Obw4D`2Vt7!O^Gs6o`gE5RDOxUjIWxU94S0d{On@jf{vMa_7yw8ytL z13b7^Yy;q^whmp3MgwD`TRQ4MtBSf>bPckxwX-fc2?pKYn5z_z_K z8`A+a_H?51vy&3a>YLjeYFpcIV0YKm(E&F09bJSEU;!N9sJRJr8G}LB)*?YcR3m_s zA?q5Nnp!(L$NJHzqU>T==V;I1U|(NXJFcy*6^m`cHZ~DH>#;a|e+wFktjD!BqUzdv zI_vXuYB0kM&m$VE(e?F>jh!uRUA-eU>Bt_SxUHwDtfDZzys;VZ3`ptj>Fe$8YU}9g z?ge>S#y4{OI)wi|c+FIJ0 zFpYJHy5^P^TmuT%-`#@;d(qyWuC87@zPo#yp|*D5Nv*gR&|xgL9)qa^1^9h^Lvv#* z!C!D)eQmXM*fvalF{&QhhVLM_5rDO2_ip@1e{FefYX`Qm0aaC2U0+*SRo{+H)H2Jg zs6=2}o11a%T|HeLt(c~cw$|2WELcxB)&q-lG*&g@d+@!0^Ikws55Av}m;v5IaBUzR zbhZUl2Q)R*1M>mz0RDl-0ISv4)iz+N(a5BjvYOI@%GR#7Rsu<&0dU3cuHJrJbvdH0 zr4xtDPR%YU1-@5WniU$0>}+dlsBdWlsTNSL4UDB$;Hl`U%6cHP6o%_+ZU@<^p1y&; zK0p&5PcT?FaBDyh;D?Z$0geQ;*VosfQMI*TNLL|{HC5G!T1;(2LvvT5M+~w&EhWDS z(a_WiEY<|ZW(&yi05dco(e=OtO(hvcuyR;&c6?%LR$XUXV*|+dw1D^nVntVXCl17m z24p#5$5EbG)&a5xV2tzwWlkQhA^0HR zpAcSvGvaW~EzOw9au6i5(reKeVD9F2kSFU0zzE5`evn4%1O(w)3DSY!W-#z;3DK?! zpeZW_b3#F04w&h33QCJB;sZ+%)ktI=;0xOZhyiFC>gyW_1GBakg|0&ZtJW43R#d=> zBOu8UaV?!7*Z~p=@eYS0#FuSDph{6K4R9p72-Vxw-cVCs)zUwT@9gWx_u+fM@F$qI zy$t{YT?Rd^2R?&FRo8$CuB@~O%uYFA0}su}NXv_isz)I(aBN*I2HS+eHDj6@Fd($o z0XA!Ds%wy?l{K{u)w%h_1%*jbS?M`gz&XL5%`G6Ew&kM0u&v-4g~Wg{($>&{@9yit z7Nw^Z;(FS;K=z^+-vbQQq3s4IB)NcVIEXAK*n>pupe;og%0~A#1<{QeIM=3zj=+ z$>}k1;ZE5t2vkD@3RzuNRnyeo2(JR60l0l-WqC0GotTi8QwYn9O-_o7%Yc>FcL275 z2Q)T-FW?Gbs5gORW(#5BY-k|dY;DK)_YdKRM_SO0?VTWW0Corrbpl)Z2@J2~0{!UAw#FvxKrQni99fDmrm+PCh4H4b4iL)8L$iV3uHl*4(Ts_S1OA|?5>{_zX( zD!#D}2?AafC^bkV2p(WsN1;$P)zwvC!BGt&GFUN!l@0KoENE&}OjtmmyN8>Lt4F3w zoP5XIcN1OB*z9Ij z(6tn>U)U-MMcoVQUpF@vM<$m(ZZ5RJ!N>v0^1`ALSb14#2}qrnmcojQiwnUTx}>NS z^amKE1b7cLH3?+w0wErrPhC77Mmi>{kG>vhL&H;}pkl$a>6tMKvh zbPh~RuWGDFFKB20i`<54APz)~!u;IqtgMW*l18wQd841GBd%p0c7>_@<5l;fhj@)0=?b6p4-?w3sDSw z($j%0Pl!#)DJUw+FU-x(1@+TXVk5!f)*r4#>9Xjl@J@32= z1MC5vUO3p>zi@PRar5*dY^DRiQx8usXD9ndPmDFqwM8DshR3Cag+>HLg!u;rhlGJ1 z1q5wv=UpEd85!I$dSH6j@TrTdtDC!<(@Q{wlil-Y){o5|npr%ueE8trUBlbAZt3b7 z7@1jFTbte1)B(BZlz1O!FNm9~>kC`^7tU^OF3wIb?Vmlhwt8e?VtnV8-W?+oQxglT zXHHH|phJ%Kwl+_!OpG4tYMUw@xE>hA9D<>BrQ1OctK)|bzpKd*FA zRbBh$O}#rHSD~k8ps#0m_xA1Ey4qUc=1px4HPwsC=g%uDC@QO5zIx^21*P)}@)z&f z+Zf%mdh+P;LqlUzquURj+E_k(_`t|eUt3dM^~y!%OINR4*VZ+-qi<+@A3QKIF}iJd zS4ZRe1vMQ(rh8$2Zq61DpFFX8WNu*wI{Dbr()__aBV7#*5dl5{!DAqScUDSTK~Yvx z^r+Ag0bxm*bLY;UQ#dClBP}Z{byED8$WcK-VNp@B6DN)z6FqiJL`+IvM(*Nu4Gp!c zng+MkRMhnE=-dFvFDsurD=#B`TKt6MDQS6m#S0fyE?>TK{krPq%a>FX&nYWNDanxx zD?{82R247k>T79S1%149`I_pbtCtnz&m0%qO-n;fMYEfMiIrs!9VPiL;^m3a@!9v} zjI5lT9Gu)dJiNTzoNW7;n3(o4v#@b+uyb&-v$J#X@E_*lJti$DBPAzy?4Y2Of}+CN zbBgC=&Pa$J6%-KQKYZxWVF4i_VX@=K#l^)zFGNK|kBJ;RE+`;*7!%9+z~JOzJ_$v6 zNl7t*qhd$+goO_A^K*0V-^(!3*VTaoE8;dR3SNUO&q|E+ePQ|BA6kR!!4Hhj&Ck7B z`S4+7X$icCTv_`}LPkzSLrq6dzlV)uKRXZq5q^QA2kFS!1o?USj*5r~3kvY@a&hiw zVParlpl8_2%)$&ZdHVr=P7YRPRyJ0q-TOGdhDI=+6=k4d+<)jGI|s*J#yzy;6l9wp zKdii4S(=NB2n`SPaB+G0+{)sK?Sso_l@!DU#bhq&n_HSaa`X&}%_yoMMD&tUcpX@4 z^o-0cy?wt)L`+5nP|-6mFz#WXrDxeov5S#|>i{>`e&#*kogX>Lm#r758y`Lqk&uv( zl9CV+5rJEqU&!c)5}2)t4$!=P_j>L#Inn#|m6?(L_BuE$FD)rCCL)G=A1(cEa-y}l z>G?r4vS(@-TT)P24MWZCBLBQW!NPz1jIyq!t(~2%jjgTiORwPAjIvs6OBZ+*Jv#q( z<0}yn$u4p-qW5psNGPai>8L5lh(5fYot~Z;>hB*Oo17dQ>c{u=kBklt4)yo;^|auI zTU_@)9U+}W2-VVGh>4SeVrd0UpsaD_+b_ftH;Jh_v}N$jJeq4^&T3^kW|!D zA3m;X@8kaDxfjG!ig;USd-@{7#96$NQ2Oha|$Au0N-FxVT#AUm<)_tYr zx?tz+2}$pGyEfB}MKz3&?Bkc!edZ1Ux`Ts!-RvISzo{rlJ5}G%H~pH3`Pg|i4fV@P z7qyMF^N` zXuxryRB9n%1-~w;{Ra+-o;o8bE_#?@z9Lk;D$g^?pH|X50n^R&eq&9f{c{&*ubgpGGKu3SWlr($quI?NDzBn^ znva!<^`NMP2+MkVGrkX<9+wOD0u7jAf2|AVULKaWEv>K8AP1NaQ?$&VFgHGw$#eu3 zPkYufASOVAy!8!Hp|D<3>HGo7!$h6Pz=+d`WoAXQN2($c4+0`y@T3}~4Afu#w5C=m z=v6f`UgM!`fuxsI)icyl5*OrSB^sV*5I*hXW}#4pMB4Z)jplxSMkfc44Z_<+9dO`xnte`vf^&rH5l^j-8V`x{r9OIqMmFQ{5LP zdQuX4PUc;&Cx-iHD0vQkdGx8(^^@EYmwLIoj3)kGI?S!vi8qZSpBT=GXc_6M$XzgU zkA&vurw3b|7d|3%$EfK~TYT`He* zHg1uGp5yS5L#&kVXGVudU+vl7k@n=J|M1X;XJUkav%YPfALN zjgF3qjY~)cd9K3Lz-L;Dva-@*T;wAaNudxIiyJZm%w&^Q;m>aySbIfgm7{8_^3&2` zJ)3*D4{_3ye4*hzA+{U(wKV;D`4>h;(wV-=uXKCph-Q1++goc3Vtt+)YhONp!6i7k zpuDQQC_61BH6sUPf=kL#O`V+$g`t*;C(hl6B!jIz07XE$zsSl~q3S_)q!T|pIkzxB zJ<`*JC@U&1uSUWPV%@ZaC@0XlF+PvgWyFM!9zD!T(iVOWuXy*KoK{L_B(0i9TtU;u zK`qa?l!#|ioM-&|_nkO>n5!>T9V; za8};ao$Ln*j*1F$y{jmC@Bk;<9_n3`tf%flQenvI{0QsQv`ZvnFLH;7=@{rJ$;fxJ z9TYgkLh*KDc9U*D_kNni+KjB`UB?W)6ABSc-5^_nADWnZwRK`>Z3F1rwTq18%lezS zNpJ!RoRQf&!~)LOeE9hJD>0agNJ+ka1kmT_rpNJ(B{2^2)Ropk`wl7^J33owh)@k6 zFw5N9ft7PKyb=oF9hk%+CbIYMK2x#si=UDdVyBqF(gYenZJAu6RxBmce~1XW!_os+PgIcOSnJlTpy^ z;}({=qHAnwVsP~|H*mJ(nAEBvVkX|BqCz}-NEQc2-ZM!UcqNuK^-avo&JfOeEiS!# z4<_PW6jU^HyTOdj1QrUcZ2Q4tfPFt3%f3Af03ro|0=OX|CfeLsc|ASUg@xxQ1-m{_ z5u#s!hdn&WxYSx%R8(4p0GZ;JcKqZzHMgvh4;1@`miLtE9jlkFU?psGUrR|6yv5tY z#LU4fc>J{7`OE6J9@x0~N2M3lGC+|28rV1dO1{cbv10#_tN zpFgav5Ke+^p8_MC0eic&Ff#^7LY3#G#RPddn(L{`i}Q2tr6VW)y#9Xu6VWajCJsI^ z=?gdRnAA(YWnGI44Ia;HVt%cEX`Ca4Zd+8rwRmML4Mi4umbvfg^DvgMA=z zM#%OO@|Z{j*!)*l!wCg^|59pd5Fk|n_WdBQ)4G+z?&}BXKX7J`aAfbh=Km!>KnCFN z@;3wj7coG1S@oOpKi@-;0^cq_tNIO+@3;QvA^kxE(2PLT$jbdFvT*P=8YKR9%KsE1 zApVw{abi`Qu43bZ7JWXv;${bd$rs)9C?r+-7X-` ze*^QcWd7;-U&FIqi}1eUJ4N6EP=Ju#qJ~gpz{4FQeY4e{wEgQF-~0TJtA6V?u#PO4 z#Rvtt4M9$JhZ=ARFv!TsfeJsBe=PI2PrfVq?bGd>pw181M99f);n{(+4QdA(0ztqg z_mdxQi~lFGzdicKE1;WDwr#Kj?vKq0aCUTnZ=h0cTQSgm_UE#L4G{DTL;nKPwsg>< z=G*8bj0J*(nr(ry1aMnIzSBbhv~>v@|1i(bcnHY8;USFlKSBCqC%+Q|0>zg4t&W0m zv5o3y-hYge9m2rZmi!$+KM?(32jKZ80(j6CqU}!n5b=9N1Rekg@c%z4azCW({QA*f z5L$Lx{$i}3;1B@G%E4=@WvYLs=^x<%^!yVjTSk!I1_WMz|4+dF;F@v(3qVc?YX~ri2}B+k%rPLc>^%R=LJ9c6ko`A-{33q43tNJIa^;-}_LqVDsJO+= z|3SN-BoKaX$=D%>;70#})c+99&wY{Kq6i$kB3SA_>g0c|@wU_aF9Gvk>($?a{$}8B z2L5K?ZwCHm;BN;0X5jx_2L6ky*DVsyf%2cR`QKb??tuA^5dAmt{AbK;xBeT?e}l!p zW&F*+|1TK$w}$&xcI4k`@$Yi*Po;0G|Er(>uIk^_|9x-&DuUnF`<{CjA>&2R&rww3&I!oCBM0c`wKeq_6UAo;_u9bll5B;Zm;rmFfIcYjt)xFZYr z{ciMaR9mkJK=}q19P-}b;#XZi=iYz){SVRoN+&S%ch$i22&UhL55B4at2;DoeQlF0 zRsEfKpyOwyzh3gOMD{7L%%(TzU{-LhY`w2TaJmK}sY*VtC^t+zj(?5O_pp^kroiBS2EkN<$? z&zHYi{X3j(KiI1NN0HyJ|0%fNKm0{MfsQ|F_*vh#%HI_JvFnQ$wL zu^VP|d`$hA8TqOFIN{G1*q7_0I-5m_lG^6< zirbiTqgsFmpPAbD-d!bRySASG3ObT5xP%BQh)OQQp>?(&@-%=N9GHLN?&9UN7q zZ9#4$nXOBk=#Y$X3X~$-#OIcWnHzne4t4?g_wA|m(&!f+nWZ(r%_NP05egB4DOT9T z&=4D@c{w(6)>)P$h!U`Pt*1pnVzhLb(_bGfeA<{kuxV%jj-ABLj4TYSry9kC z$oHqd>kfz6^yrurW(glImA1OXmN!Camc3@!3|C8|ytvc>wWp9!vD(ii=~ zq@~4!3r$St2~qZ8gS>%4haT3ZFaqHTX6qEMmwBkh?hS_xP%ZvNeA;?2AUZF+DrKT- z!$ioOU}2T))b-&h+b8HCoft8Swy~(NEema{o)B)B1$?5kjKLJkC#xiT&d8QlFrcqq zdS)m05-Em{L%LQ@<99s86soCR5eD z4E!`>saD4<4@HM%M(bmo=77@V%!mq86%~_{OFhzs_3F^eAbt>gSfN=^8y49F@#H*@ zQJGJ-J++1qJ(8V-)+m5mcwS?a-ILjr9rPbiqTUIFq$X9SAYD}~meNkycaR4~$2s+o zvq&1Ls9vHwA)p8;cFKFEr=I_sG(uozkU4ujrEZLFC>1q!jJ18GR0<|TW|)C;#O zacWzj1`SBM@q~P?$Lo^>jp#;mclcSzwXzdS2CIs+nl_tCU3@rKRj1Nkyieguj)Z2W zMR!=2!tjfx^AK}73JzL?Nt~@&Wp23m+EfsBkcQAvyj=I@*KIUxG97%I83e@Qd{^7c zgx$!eU%n5-d$EXD#Cn3;1hcd;-Ybp-vgA}_8Uzx3eN7~9TfKBJoiPGLO1$D%c91L)Va2mFl!1p?Fr%$n(Rw zQg4+B%t}e7(H%5;?!PskJn*7W36frNJJ|M`eA|4vpOHIwY)Z96P7JBCRJc&7qR+r| zfdU0D)vhA1ye@Y%wrh@29xZ%`MnBtYjafazwh1XqblSQ5-HKbc4t~~YFXY0D+SR00 zC+UXEInEl0p|BSs5XM^ub@JaBXAux(`u+J;m1Ii(3*BSNYB%M=@vn ztg!nYjtnL`7xkANPshh941V8<4hg*sgGZEK%}Emx>H_^XxE1xI)TBME^NL)Q^VR01 z)o~(I7R?!bdNeTp^r0avD(swW38uS*k@h|J(CKP)Vx?kYIoDOKWnshnRq%VR>+VlB zoQy7%!l7U4>rAf(!Y_G@c*fUQ&ASF(>xJ@}sCFX`V;7e4{Y)r6khDeQUl(L3`8nuqfiZEQxs;XBSL zSzp*^omf#3r&&cW6Wma=FGi>vN;pD!oM^Wo6yun!6D%3R0|tm})v}PtD2f*O_(6Q( z$V)*x3R5;04q&s574GeTgz(K)`o1=ogZELf9+VD)p&MA#|(PF=w0N8NxaMMLnGqLx7@4h5C{M0zypp z2?K<7>-UQM8PWGR9qG6QtZmjDfhEuJYAs_2D*Ofdr4uu^b6skdfRAsv?VbrXz>Gn{ zfsZWFJzZ|g^lioJm#WNuRUdQB*x1mL9BbJv&x%Q?(pn zM|a4ag$vD7EY0)V_jhomXzF>N5(!@UyR2>*t*-43ekyCDeDTn7ez-cK16>j8@qCU$ z>0Rj4c#vrP5?_@udY_hQ{vwsA2N`kEbuX~M6MfFKUu`|d{j;}Dc| zPZpz|b#eR{uCX)-WbMH8$)Ru&j4*7L(7RGcK~v2ND_`fwV1Xj3=0M!L9pnD7E-*vYVe4%~EipqJsPxNUjoqh_R_MHqeg;%0Xb70!J*kT@On zm^G#6;U$q86`NTs(CQQbbn>x0y{u2w04;<_iNz?0J*Ry zdHg3uO=X#Ur#kKLix!NOJ(uOOAXM9Kup&GVfK1WHpq6scQPU-Ivo6qwqQfZLO6M{I zfXb|ZIH^wiwAl$Rb8Vf~xIbGLfiWi67NVXaaW#b9a30kk_>Qa;NquC=73oi? zGF0#?DVPUPcs`e?dPDTqi_-BKcs>0eV@iS)M08?Hxk0`=frju>#R3UkwcgE${qYys zVn<7w-Y$2nUlGNQb#-}SAuX|QdonyA|1AM5!vu3{>{m+tAl|%}Gi+jREJYI>oK}}5 zmY#?gl}V`)`x@b6HZKA2DL%6z;Uy~?j{8j5(8}<(Ve9r~M-LZnC_pby_I)xI>9mQ7 z9tI^MMxJ9~4uUdqymNnH!nYhY1p2i?h5{mSeC8qlxH03RJ`YVJ`4n+Ii#Wy; zxPi}Y&unK{{}GHDZUw>6rhl^)EDQ!Qh0&w`&ncCG8(G%JUmvcVM`HmerE z;5$&fvt8{Vh-<&!P3or6)N-?PS1gJ02>uTBfCjD3A6f~JtJt^_>1LBFL1ZXOz1tdI z1B8%ZbP{P25QQnyDA3GhotmWbg|8s%o)Z)uNLn#3-FD)=P%m-A5b<&@3?yUDjBgT8 z8Yqa2DSI3X6o<-by4`PygXWe~YuYW@c^(%-6oir$N(c1B?ufW}9W&Dv4OjcybfMf@ zNueA)taVElMdIwwcPClgXNu3L1|}Fwcjf1H!~MTQeJ-G^k(z9aX z6=mbX0P-$6nIY8KoQ&!D)wZ@udJYu^6=+#_$rjhD{se!a*W!S7E^fV#p^P~BXit?x zzf?-WW7Zf(vVE!XS_Wc5sH}@+uSUOE1RA{sVgcXiFT?vC6C*+WZ0-U!#VcL1azNe_iQT6s-Oo`PrZ| zo(I-i$MiRRVI?o(NtKAoZl(l41r&P@bzzEm-M!~9SF!shL`8k_jLt0h&cd0;6rfHG zIX<|6p#$78FUAKM7Of_Eg>9hFHRJB2;17$#%m9OW7>g2!V@`av3Xs{9ibT?GcY+P|t5g8(VmIMMD4nU)++qt()3l=m$n`_@ zTfxz{r;h-Q0wc3!_YP6Jd=vQ=vS$ur+@@{hS8c-$dC@PX0PcEMH~@xR$X(5HWKzgz z+iMmwH`dkj8D}qDoT*UN96#PGqs>WKsIMdm(yC!{BP&^)sHN<7NGVMLSM3EjdOw2~ zYwUy)ksBWk*pM$z3{~guiOiEA*4Q!YdlF(Hl1maL-@j&lIYS!a2o5CV1rcmvSuQ8{ zIEp|oPY`|@5e}{C9jx$H=;C4T;8FNa%J-JsLZJ8VUeRkwhj&=hqmzxLs9imNJ)=Sos=GGpd1(q6fNdXs}#)n#~>BWH4 z+Gn24-3lF7AzIZg1S0)aN3r>A+4e!D z)H87b^(2Op*8OUY>%%D8N{-X3pWD0!jpc-KpQ4GeYzY~?(yTzjs9{l1+$0PEZEsWT zjBheSEO2}p(s82g@*H7+F_F*DLN@x!cRSH^skUOyL|1j@7Gl(-o^SEFw5sSMmpOk$ zgSpl8K$rP5j)zh?(8fRk?aSOD*TR4!tN9%NXgnnW@bG||0E{d;e?{ARn>`eh5k^8B zIwxY;d^4B!X8!8Xi|sWDH<8>Zw9}vsTY3-179~$d}tvLtlSgraFIv zK=Vh8}v#JUQpZ-gQ%RJZZ_w z&s_EvVWCcl5Z}9T!k=v~I8 zS-BM5H72&3a6U|Hpey)n>$QYU;)i=D>&kAci*JI*vH>b-x(~)NU6W#_Q3U%u{rY6_ z4!1H`nW0Qmr+d#kmN*G)e(vTfj)Ar~ozn&V=F-t&~lpK$opT9$mMSP+B4pYe#LJaq&LKkmBwrwz|heav1T;V5Xoa1PW7L4)Wnobgs7^ z(-)z)d36>jV)!*$XMQW!R$Ht+ofs;liw-emLd{M$tr3LA6dPjiwHELqF2a&yDMgZ> z(cKnnbiwwpqk$jSMUP4rh)C$>U7udj-a_FD`>u?YDI_=gh)8~t%}f4n=ypegdE?Cp z-liE^Tye`2t+0m4X?QiEBsKk7N}R?tLxOtTU4V|+XOJl-|Im^cl_$X{8?1!J9(~L% z+lf(`UN5_$c^VO3luGAbs@$GbLu-iqZ~@J)*0!qhW-=dvC(01j|E)8K{uN~}*YLGW zjeN5@>p%z9zNAk$M<@fNRix@vE;tM>BozzTwArt_pY~@_`Y=CW8&I6e`Cnv^%atK(qBYqA9bpN2-)GtEy;OD4({p4 zw_v*UxRUG+e0&_`_I_gq_i~nPFm%a$M#HLDaddLc9)u2sm0}O);CclC-`c}ueH`p&pC141im>gTjWlN)B%)MO+bJM$Y>kfVjZUGBjV?E|3r%{jm zIiza=$DrQJ+~!0UZf=5VYu7rhKq9F@IQYE|5m$5AmdlxL%q@s)W*JaSQy+6r{VZjD3oZmdhd|46B2flxp2y4a^ z3hLjtLWu2JP0)`Z2PSBBYAM>eO5>D-xpAH_Av_RBMQui1rM9&8rEZ8$FDFNO<7PUg3=I@9-JGocj!)ZXP~85 zJ!5u`Ra5kf&6cb8nO5qev1;f|0prGTmGfJJ(DI3EY%E&!uaB5nr>q^vqX!wGi{NEo z$}))QF`Rz%?NnI{O-k^|g+i#^COo{%N^BWcv#EfXgS^H+mfqJ~QjI8Qo@bO@7BBFd zXu7aJF%5lqZI4u&)mS%f+aj%GhviG(Y&N|cE?=W$UY6a-^8%kQ4{?i+d$8Sx9$vot z6lJn>P(rT36Y02n%OK-W0Wq2Bsp8@l7fCelzUa|JNuJ0TmG}XJ{^Q8L#ax^`H0Bw4 zlLc-o{X~+#>&gC$H+c1vdQ~X}o{`6E)JMN`cA<_)}rVlhWq=|JJE=lhd zT(ZpKn*fiVv9r?%%tOFzOygm|6mrV_Mc{b&6my(059pdy%%-~!X4Usev|RxKVF8Gp zN!6(ojJrKP^dN3^?>Yy(LYu|My$QRIIIVrymMIz&inI?@SXy!Af{@oiU;jX&@_&Bf zBcXHB2zJd{AmdK4>!<7O zG}K_1N)BK~gFKTxDZvkhbeH^5`P+P6Z!eITlAr!*MG|sO=W{*?|J%nU7)ayDZ>Xw0#|08M1roL<62SR*`%7jv3?ZPjv$9j zz}hK8^1hxC!B@43);ECKwKI&MKZ@mwq?S?kIlwI1WZAYh&f2!xHH1D}51Updnl`>A zbI~($xwP}M)ghtnXv=p)OCE7hXhgIAe5-KbH5hn^+1xlny=|Gym#|j8+vA};q->y? z-i9TqjS@GGK=;(*7!gvP=XP0QGp=1Dr8GfFC0(v0>bfDWs;Ymxn%IwiYn%^R06@`K zgE$tg8zrcba`{9cu$X=4SYTR;xl38lTL;RUI4@rIaR~GE7n|9T)l`3yyNeV@jt*zG z?Wo8YQ(F+}+$)!^)DTO@rRvlWg&z28h@zufDtQoA4ew~5iJ@bK={y~4G!MxsdUsNw7{xD;;Z%8*gu;TRt}I&^ zU6&tqvG6MH$}%rCq0UroX*d+eFa?Ql$M&M4sst-}$d9NKL>L_#g?)$UP7G3K&-Cm$ zLVdDGlzA5t){Fa_NIV&667pv%d`>+5P(5F{HY=3ETloQs8_DYco06_lI!U~)UBSIt zrgxM#W@0rBNCdGckEnUhR0+8>IR%zX54dZXFi)4bLrj7LEuM(nEVlw-#?D(o;|(aR zQ3;&GBE8fNkqi^TU}x7z;>GgK?8^?GSGA2TptNXbgZ!}O7{_QqhVdpz2#HSch;QUk zVM&$LH#;+yk#(2f{?W7-HkSxH{yGcH&K}Rsl<%+;;7OV?`m=SX8uCe&2)bfxEAiN-E|BlR|if+8Y3=7=0qlKB3y4pomFgGE>3c0_C5Z?@Df@p~;bV0e=Yf7CY zht+NxTfF*o5r9Nw82iTkz@!om;N`0p6s}59yTOO1&K z>*4IS)SV+FncutZ=FLE#kC`a(Ca*++^JHi$)~kk+6dn4?VlE%F6s5prgjNbWORxuT zq@l+QR49H#q!bXg74A=4p8J}a}L8sHVZ$%r%~X8?vSdctTM6;Mv~4UZ9>qoH=d z>3&$1>zn9f204j@t2)|Sz;m)JR+DyJ(&EROWSM-h#N-Xzvuk9=K?dz3{@Aog+d zsi^qcShe&Q2p?1#&aSrF6<5<>jSzd{Vd^6I~x!%tC+p z5S}c`=MDHP7{X)Ixr)X+M?N@fJE-D#)jorpFTsD0-g zYgW86J6@&)6gq9TEnz=S(3R5Qa1~Sc)j_k}N#E7Vx31lsjB@IfD6Xrqj-ZaYcMTc8 zEQ|>tX?Jk*9u4KcbjjAK8cT_Y*iH?Y3YiC@6DN!@#rTFDrIADBHdj`O@^vE-BdOFL zTvLrK+8wRw9z4Wq)oAH$3;WJKlNL>(rP84KVPx{BEpIMa#d3{Kj&zUbN6;TWPuVTM zd*=4rBrERbj0n|P5mtFI?3ZE4Coin8@GI4qVjBogYWa8|} zyK~pYh}p=cJ{~Rx>{?nD+y<=FsB02l5~M!Hb)T`R*_xlxsEbSox{~Y+Y{5)VIwN4N zn8!J#SR)d5`qCR>YA;caW*$gKYW1v#G@Pz(g};NjLRpJsXS&+{H;;mLv^kHJ6?z_o+cF@wi|IlhSq^qpb{2y z@F7uUC&lWe{plgMo*1Y`3qKOjK|k6l53I=7-FT-1HoS!LHaGMBz+0`u=Hn-rhAghA zd#2l*D7$MbsM(M*ZjqjH0VR11cxAwBVG2YVFzs=1V)SqXHq0S(lrg1X1Z1%x-OXx1 z*@J-mvXo^D{Ys=N7MhF~PNSs?V*-Pxc~k+6LRzgJQCV2b{cTG;I$P7Czl8=+O3Bced3!Wrvz37Y#pKzoB`tn;}|-oj>+rBChoJSWV50e zkfG@Qb@}q{Oxm%?S`Az5N>HA!C=w!+i>@wFB81KP`7mojs zKX&5_Yx#FtAY|F(a<*NBEXE2Vhv^|zwVT5F-ghuO6?tgu^(A;~_yFIuHra07qT8}V z@H169D!5DAbjL+WJPX{l7_Xgf170|ZGz6Q6dMV%6zFyFHRa%kwfS^=9)TD+70FHLz z!AgzW|C|Ik9x`qTJw6db0ET_c(@0dLHWOMZ^}M-jjbe#FfRN73cf;S|yCr%c^5*e( z!*hzDr^J=@3Gt~;z6wqn>h?tku(1K#+_GQ0JN(_=4Y${hI0QP7j+*|LEMw<&sKTI< zSf6EYY9J_1_2Sr`(fNjhtzp~}rag<->){mzT?0!-F1HGzlg<@7Po|Tf29Pl6YrTc| zHssWt+;YS?v9gCmn54!=tdh|`LgVTpoBi0xQA#jZq1x`&C>?G@MXTjjqO*(XaGO-g z=xkX-j=#yikI`+Lm-8wrUWd1j$+AUxlB%oW(Wmit^xgL`dQ#YWde}-*0|>?|?unc# z3DT6sOAvbE)C$j`KBAx$m5jKqSY7t-th3D5s*YxPqF=HhdWNN#3Jh_Xm0#oHR)tb- zCKhr~)Ug_0D&nF-pCyyS!|Mq9*4P_;m}o|RE0z#%LuZidiyqz_GYenEQznfuKi_ij=t z`-z(B?p|zcFhQ{%aF|*5tFyS+vFM}|QG@8#Le2|r>Yon)M@NKW|394bFznM0IoN|O zQ?vUv3nfmNoBm8gWHzrgW{n6c*w&L6P??{*dRnTeswitLqwuomHJ)?6gr)=W>^K!s z{TO-69E$c*Ny*Ht4jTV5B%jRTXGW}?uDP3N*Q`w3Br6T$wwkN{8Fx@4?YC|51Pht& zH?dJWXgUXUw}O?0V+Ng?p<%VP^t{s=RxZ);r7aAx^#N^YN^4>`KdyPG@9n)XQ+%bU zdf1>^?^nDxIUJ1ud^3(OrMZHC9wv_-vQ&sys5+LjgU{Mbya>Qfu!e)9JAtSv-X#!S z5#`mlXEoyiE}@M3-Xg@e+Y$(yC(dYQFyg>93y zf**LP^lw?kb11yM`s=epm7j*Hks= ztSui6qKgLZQ+Bc;dO4d=DKS2@uzZi)r8R!Ep3bhDALd*nvncvb77ASgDLRsp8^wx5z4GS63Dtj}8OWGU@xw zqo|_6*n>pS0M+8jhU9+&fF&0y=pO;Lk$D*y{=E*fx_;+2JcEAL8mr zoxj0oLx>(QmiFP@73^vHq~)d_rk8!Rc01M;77Qn<>Iv0=_Q1RQUt+hxyF}D>APWFX z1=?>~B@XfQX4!D1R}ysK%(^0E&xY_k$!vaI_lC`aTCP~8n@4Z2tq0qW64I6I)gQpx zb@O|3YPriR%B+0QR|qD8qS>Pf&!8S^hyKYC3jS3#%MMIVsVuYcmEPCtE*o=xR353% zNnT`1?iWuKv9Y441$nI;A45o$*Vl9}2#Lv$nQq!s^L~0)F!5%apUQkXCeoY1{)#?YU#;)_i>&pf3w@X{8?spLbcEH3p|=^ zS{y^W1OH8Na1pG^RX#ds-a0yH{rDz76+kdB)~kiccuS0))1bmybiJevYF;765gkE+ zDq_w9LUR*BmB@F!_;r`8yL8q|mgN@Ni<2;KR#F)oMDoOEZFIoPl`nGojD7nPg5A^w ziR<2|4gu!xAoimwgz1=42$}(N`OoD1Ks3P(y@wf zgA8o12o9g0XE$%4iHGFm0&RxceI75c**c|V{J*8C=45AyABzb}-_0fn z4f;^UVi$=#`*DJ2`MN}F1!hdI-7(4-8>zqGnv9U@Rp0VOFVa-uXL7s@6n|+uCU@R) zdyf&gOwt7H8NT)Y{g0-`MoIa1N=;LS$_kAL~3gxh$6)^k4-`z{5jJ} zGRH2o5RBo{${7;BfA)u(olq>2TnJ4%Yw8`8X~-#@7Xw9A8zx2*ptj{-$LBb=L%99mshHyKCKzf*RUA7-|JnKXqzq^Xl5{w=UF9VTemL-Vlgs~Syv zBWd8W1|cpYZn)q+@%A^aEg>h(eAiG^S}HSF3AqjKhIS64GFJjd zZoRQ|2j@t29aX5|@V!L5XbRpuxx!|=abDm#ajr_;9%g23GgC=;69G0Fk2S+F^fxw6 z4)1G8aZ4Nqm=c6Xh^-jMw=Z?Tu$#O(r0~6CTbBpwuPYIbsNFR;yh>5&j;!j#zqgd`?x?pzw5JU9UR@#Ls5S2D2(K^Re51$ z!0uAnWc#f#zH{*!scs42pYL!Sb%)P2kHCn@zr|o(lIuozE#rmfphYQjZ{_t0W|+Si zcAhw~HMRkd&n10mWrhqfQb20$Kzxn<-D2c_@j;$euaF(h7>$1^R!ddi1KEDP(!nR( z31d-<*DF;+e%y(LVODJAH=!rTRfO2VZPXowas6rv2uGcGobDdi!SQMH{&6~sVV!aS zf%@$J8!2)eeKZwE(KI|*%Rt23 zQSng!-kBASa<5u~;Iz1Nl@#vE{+7M|{#$6$QQ=wmCzWOSgeEts+=IP6g3QG_&q)YT znNO~i(x{CH;En+Dc@uCq%5RK=<^M4JC+}OAC}SFe3h`_>_50IW!hy(r8ZSh_15`Qu z`*)mrE?b5fNVn`WFk_)L5!zQK;@v#9D82^3Id0@V2ZfBf@nF1@<#sv}r{F^#y66c0 ztNH4HizijEB_&qUC;4S22yK?rSIwo zFT24hpcnZ*@uIs7;Z5!>Vy;Kpn6Rmvwo7KFF~8OG8*6f7&LDi}g<(HT4%`gZQB1q` zpX_e7P@f)0W0=`^`{GT<#FHU&)iAJq`lWAN@rYjk-4aguhaPAbsFH)M`!7JY==HQa zjyC^CiDgSVjqBokXxY~94PfA04|P54ReDw*kKL?w3c;=r7K`q58zB8$piwLA$xRHS z1^RHB$38Un~tlVuK+}I68+-G4(_-kskqWaGp zC<>&7X<9JOU!nf7pU$ZJ@A?3{?f)Ez|iJgpHzRXOqG|&R56~DgMM{|S%^xcE4O*|S6B8}yx9n65^=ub zbK6~l+P_Pt5oKj^R(Pr!9+Y}lj;zcdjfF81#B1LHN0E!8BdWw#Nb#Mtufy}sCx2sY znPan+Z$k5?_CK<5j{wTaOg^1>Mr%WJ-_Y|;sAH?P&MDBP=PLm`{Fg;G5=GPNiE!+f zIQ9lUZ3aq*bPxBLw$@fOmDMf!-p|pzt>j|XQ0rxJM1;Ta1k!tM5B$d5a4>J|>=CN# z%4b9=NHy_umBV7(n0v9-+?YdG|(!pBY_j{DyB5$EM%N zYA1Sn_%w57fT#HC+&e(~YpVAi?r`Q??tu?)lJoT+j)vC(@rm}Gyd#lWfO-2=zXR1Z zA=7Hl)Sez!WbjlJbVHOb#b6C#dOPOx?`|ES+-fVf;{QDCa=*ZHpl%87Q1 zpylsKZ7!zWuY+hz1Wa0pCE>J7O@1a(&zPU$bCbO}M*nOVo4|=rkb^l}mTO`amFh9K}iETZ2_e{==28*>|e{oH31eb0Q)d)Q9(sq8$ghFY=wBmNQ*k{j29ksQlhFSX_z z0~dK=ifW6LN2VtW6KaD{8ccQ>in<3 ztSlB9Fxe=puj0IiyYY#sce$77Y5lKJbZ0KQb+!Xp+#(^8wpktH*v}(*eq(*U&G#mX zV$@nGa%ulM>RHq67Rk3u7uDXxqz zX>4!@=!wU&h5l96{NXV&CX+z4U}M;J`77)ld>3DQCb)Pa0}90Lw-C%c5jWEkeCXBf z!tQ2C=13jEF~TsAX<>3H1ij1NH#Pq)^z=kQ#e(90M&y)s0l z|BQn;Z-}v07L+X;+J*KOjRd{YOGejyJeFR*>H=YfvW1tnergBeoonXR@+gb_oNkYf zYUK%=+|)`yWclCJX%L_iGR=|!_p`3QImX*EkE=l8)pNP@7sPiD`A6*nmLJrTZ+k4(M9KM=HV2NtsZ~BWG z0Run`;ToG>EWC@K*>c-71;5OKfpN_}onnZ?_YCtxhuVBFX2mehOr)b_L!Ddgw2y*O zhjKW?4nvz8*#a@xmgMm(?Pustd$t=AOuhZ#yEi$6Q*OB?IL8Rlm^2RV5zMHBs3L2h zdXi=lE(z|(*Bh#_>z62A7wPko?HlR)LeND1ju4jQCn9j^c$AwW637U@x*7Law_ZAD zQw+q|^YUU)GEegPMWpNZiiG4!g=r<3>{x4SE@vIH_PY}Yr9iYF4TtZxWYc{-thgX{ zOw*X%z=(z?;%A~5IXEVkW_dH7_e_Mk_>zJ1=I_<{nz6DmUA^FIPvlU%Kz+`)K-Xqz7%@+*A5?Gs5O374h;Rc`-hz zwc?NCeaAq&*!@89;y)IvB8=;<>)+gS=orV>6MLCZsZ+ngrF}X${Qk*r?dvA|1ZR4D ztPkkH88XCeij2;j{wW#TfAnT;>(TU76L348NYQ)I$rHx8_VGd@r?b~?uH8w-LI1&G zU(?z^2O)ugak4Jgz#wcHesUm(n;NjS4FIk?R>9^&2T9(owQ~qSYpNok!mSvIuVX?R znJvC}l<&1F`6rB&=AaEb`hrK#0FUiebnldFLG~d6(erB)+ON)v`b?k@VD$NVhIOjyF2rA6hmX*N2`W zw`6F2jPy}B5{1MH)aLKWdkJ(H(6eTMx8 zDxtzoS0h`Z9njU6qy;axZp~nSH)1q34D1BSi;qBE{_B&cdJ7~0Dv@V3-_y$^dff?a zIc=uXvD#HwRoU0mhr!;0*kLTWX!GRw7W89NB0pYV>rns zVuCVx_&T;OnZ(Gwiz*O$?I2aIJ;LuzD%LcW_J6h^`h%HA3MsyGFBjb20Y?rowxb?B6+q2%!%JaGR-9>PDFj5O&I^Q@CGWA#Q=+Y;tXnO3oDZI@H?oxKr2S~vfJ zP>-}(XMRViin?3f>|UpVzq;$Pr0xCFB{5_%mG!1Mhk_yu=2w5*b6wmoEHXSgp+$|E zN9NGSA(5NCih8b_RG52ZKqJvZHzM!tUUEH8ZQZOaw+Ms$pw_Cdd}YN zj%gyd9g{5`Wb;m!wT_%zKPE@JqVG4)h{66uC2cAui)NN01yOV(0qZ{zq4ywiQBR2e5dE7q{7qW_25A zVl$BkQI`Ncf8Sk8`vaE^kqewM&_8*J<46#nWvRGVuFzXJT47_GFT_6LV3ZWRE`Rg)lleH{(nCe)4iC+bh$l)%8Fso1M#+1 zQy}8tj$QD}`<8@9Mx5$0xtbjs6!AcJ%_XSUlj883|0(nMJ`}jj1+n(~`p`Mu}j2$C-Qpk+R zm={1cJwH2ERDUQq^lqE4WOXW~xW;uVnU*d;?8Zz$v01%aXJB8Rwl|N$Fbbu7-czBv z#=1qb8E`-7z!744nf*mnfp5q9B4;|Goz6_KxR%-uL;x_x+CVUdJ$VUDw`w zt#hAi?PkFD%;*cz2k(>;ue;N*g<9jkpYzSjMaHLgs#=Cjp2+;a3DqpvvFR1>}?`N#zw zPkl%#PVmdAM>iRh3B@!w#l5{F2n^MYtBJj)M?)ToTQ7D9Z?k0?2c{h?eLgeqT4YBU zWkWsN7&6C@c2}{pOkg(H=iuyQAIkBFEYY#@yDoU|luB#fd!%e#JwPy0@Br6#O5F#2>G7BIp|VF; z?dE-#1h$IK*e3}U75XIJ)NC!GxjQ#E1<%zBvL?1|nTda|92q-Hq5auE;IpVK|20<5 z{AhR}T=$TClk(``=lwSeH&Wt`nhie=Gnf~(H7S?9F4A;1 zXWDG3!+BaQfHpm^;Q%&_gJ@8`UM}m4u6QNZY>x8NX7Ya-V=D4$wCe9Q1SYg#)pcM?MVpD=Z-aVvy%qV;G-pq)eUd387^hQgAOE#3t`UK zpzZke8lLUfX3KtPrha%NN;K=K7afZ1&QM(Lt+Inj!J&i_2X*G1#Gesvjcd_L#z+X4 z8g_WGoPJ{tlWW|WkM>xe5UnJk8R2TQK& z9d_7cl5(857x!UWM&=0ZRhhdHq~;sqeG6~Qj?urWGka90AKP+nr@Hjnt(8H~OKAnn z%)wSRaQb9Un6;!#klP93Q>VsfUi9QQu$HF{;NQfUz{X$k$E~BLOZ9wVEUa#;Nb$--)Sgb~`1z3S0><10?+G`1GG|hT6X(w85u#lQ z#BZKoej3+AyryvQ&>IqV&yTMw7G;Zw-h@dA`&IDY^h7>RA-HqeXgLEWf!`?d%Hh=r zPrwETrY3Rkh?_m%M;dpOmB_iO^Isf3K0bW7Qsyepp<0G(<`=hKUGnRB?&?QOV#mMG z_8ePRx*tC4p~D;`HFors`lUVD1h+H=k3Ba&sa2fJJnrhdKi~Fk2sxrc4Mk?j+p@!x0BS)c$_io_H5JD^JB9Q4O}U7mT5!L z%^7R?Sn&$y6Wu}Q78#Oc&f0#iJakLj|~{pj|;H72TE;UataOnS|tX+KJzH;6F&mEumYN+-!ftqV_xCZ_j~D#(OCR2UMx z2K$(8vp-0$hj`Z9Lw|KiS~UAQ=Bnw^%8p-=Tkc01M-KFI2`X{RM9*X1;*uDlqO`+( zA_iEd%kw?WthQIQzEB*#C+*Q0wGUx+?jgq{_1YDrycT^miT%fJ%IQQ=ts2iWocH9c zCr7XHT)#@~mDSIqwR&nxiBscnY3E4(kY@2*r1@H@P&ZmSZLqo1tE zFc)G~wOE&Vf5wkSJT-?CRgCOLTcqb%XCotZ7A{zmynS(aw&;*8DHkhi@wk!asU8m! zhEEyN>%!v%1ShPnd8a=3&=L3S1Ml=vH{)owPf|)%Z)A$AZdwGG#wLd|mFkb345cmAm5QQ%;d>C8Wz+zEH^oR+e_HstpWSa^F8#v_-_%>S>awGOQ9lLTXC1a z)YOy6y-FHviP3Lx?wM=KRKuQF0@#ckE zb@$>M)TGTZ_vGLWM-F>jR}3nAYme+SCXCL0;T}hNzDAxzGn>_C_L^0tS^o3JX$7Zy zDT)hQro*NBgkSoz>ZYjGcK4{9Z9->Zhrx4DI*oVcr@qE!0_U_ z##V9k`TK0Vc-WT~(q(Id9j2)ca|Id)jmh3PXD@Qg=?c|NL`P3LD37*nE>UUk(WE$t zH+g0&Jtm6&%!y;`T|Ac#JWI?!&7BcfSzVl{cr?Lo%R;xCe56HcKl7O7ZTfw;k2lqg zZCfczUq`UZC}FK{j%Sm|7@s<@hhqe3u^A=GczeSmx|(a#pmxyhERU&qQ`pm$t5G|5 zx)YYnw1Pcl#g>dNm`Pi@UWn>8z4?Ilz-4)4mQ;B|)_Ziu_7ged#&abp`1Sp?v!^Wv za=k~3Zlsi~zPn#zNcSM*XrxF<(T5k3f~P~OEj7qLe71JIDs@pQ5le1#obaQVkVw`u z){L8}cCkA>sI6*GQWeR0sv{)s4ftnQ$18&lEFSm94{tF#sr`x5Ge0izmDokX0~y?E zqK`TE)7W%od~v~#z3;cZmP_|=UsK5Pi^~-3c=o!=Pv5vOJSqj!0D+ezN z1qF}8NvJc4svT~Xo#uOU4s#~A;$_@k>wSlE-L!KyL^=XUzsz%`P{;>q1XBdD-szr|nD{^O5sg}(va`F%|^i-0z+{Re>)z@>` z4oA#mOISk_i0p=+W`8EH>92B7s8%LXN!dR!#&Mk8`r?VxiC9n1uH&^r^}J%%`;|Sw z8oc1(>2v&skFf8{(MQ7DL;UrZmi(>d+~cw>J){Oaw=YN3+)xw?Cc79Kqj*78a50Jc z^!(tUlK%BrQ^nQJC3{? z>)_hdc(HWHd~NO&3Cs)x5? z6*(x{(HwgTHnq?d#TcT#%<_@wablyi)Sk)AI?)!VSefl5PYTyHh6lVY=utI+a6S=% zFtsY43+<*u61T)?#4)RdM|v>wW^o^@9~C_t6{DrCYLAf3(C@z|daw67$Azmm4OM5d zUuzXhT#p)~!Mjc~Mfd`Z7_DGuN|H}2(DT}^p|vtRDl%y{mciVUzp!6Rfw~GgZQUrj zXto+U`W8Q~g5=eUqHA$6DDj-EDZH(Fb5;FDX7Jc!r6{UPOPGJ~7lC4MHOR=Oke7!@n& z`v>CgGP#*P@>?Eu7+G#nGc6fjJ!xT!sCaA;@maN0qFMCL=F8*!60LK|fyHd3%ZdCf zs!gq*!XJ>I_#%`eF?&>(H*sPNnVe9#tllG^KO9iNQlLlseCw*!VPfK|Qduy5-XPY| zRK@m(QTY@~p01h$!XIySJXxWZ(=^{aQLLnNL$2N0UrBoh_cZZtDM*+V|weyS+ z`t;>sz1KwxZ$c}hSE`Q$yGq;a=ifI&Q*@oOz|yt_>{^?jyF!Dy&QM`X+3q6ztjtz$ z=KkSc)2ZWrt#7`Ntxwc@>9B9l^q`jMjXJb;kSWo5jmxCRFI>B#wBfqIL_L13brOAj zdg(&_eaTL7=?3H@|q4COE*2uJ} zh@hU#CTeUax#p-HLB+XoCM6C2JFvkgvxvC4|7F7Xzf72zn3$QFSs>Z>Rd6>z!1M2d zdjQf|Sy|cG*x5NaI61kvxVX8wd43jf51w*ya&mHTu(PwXv9W>ttdQF83W2@7djSUw zK|Fw26nzz_n!l|iJw2$}US<|nHV%kAfS;9lF9RJd4Gj$)!(J9P z4v0`r4ptT>26{SLT3R}KkR8$nGEtM0;J;scJbg`9>Ey{%I`)C7)&0w#DfV&+iXS~8 zdGf@uBjTch{QG%%czO2&;pGNkplSivLi95;G0@RaQjn37l95wT(a-|TP<82PX{f2F zsHkb_8JStx0oNSt`#?@wkYO(iI~P#K&B4k@9v%n@3p38?kVS|Dh!$EJDss|2 z#6*OIgakkciAYGvDJTILDoRT50YPHg2MA_oW!Vcd;}Eg2v+dhULrzRUKukf;$|EQu zBE-kd3Z4*duZ*>p#Cw}a7r05$zTY5Z5>>q9=o^_@)I3Qfd^x;&@;x~NGeigQD+8nf z51)XDgak4V8K$J7rlz9UL-=8R_1Ws$=FVq4d_od(YC6C_6fM95j1X0jo1n;mJWEdx z+_M+l&{L6oe!I5*k(i2s1q2=o6C*7J;rcW(H`wAh?fl4bE{iJ6ct5<*2S2lv%QB+4 z@3W9aLiDz{~L_Tl3E+~V?!jrX6veEEV;xCbyuMM*(H z0RWN!e-aXtkdP1&eA(H0k55L=vUksHww0`5B8G@%KR*}kyN*ar+TjF^C&Gi=wlNJI znL?%q!YaDKm;N%{uLielF˻Lxh>ivhUSBoRvJrmE~y?Zu|oqx5xwYIvBM?y;U z;q}W`8(TZ?->xoe@B|86^err?>A2D5wdC{HO=SGG9_rf9OlUDLU=UOin-j=8^K{3+dg9?N@gCC|0LA zJxbu!d6kctr1kB55-WRW9xhBzU`PAgo8jGK*ghn3=*h;~CUsvl92n;7nU>!PBR`rY`_=Ju`u%t(J{*WkqL%;d!6sC3TNBOmF!Md7REp1(kq`!M)gFS+?;drRXQijcdY@d{bZlC2Wob@w zVoG{yTuefGT1=pCa8zPeX+6Ai>Mj1xOmjhU;3e)aZ$9F!j}}pS9&Ue_hxvJg`tob;@v2{VvqQ=za#&jT<^xafz_75esF*O{dv|TLRnA+v z_=d%$q-W+7HIA&TbVi(bhboFrfY0^#Zm3ARx}2h04(TF(!_4Dzf3m^cj`OBZ6qjp4 zQg}d6SVUw@Qg%^JkjkFH;+RTCtB4ry^NdvjsxE=A_6dj_*YnA4>g=7^Af+T+85+cH zZ=>wr^iU8*a;5aGe){rx53_*yNeyF@OBOC3j!pqleui@LYC2}tmrZ;!D=SLND=M0Y zr`va_+n4;brovf$f5YZ3Ftn8TCBBk3)N3_^dzcduS#G@}ydyDvD zV9wxsa(b41Osrxmh9(9Vt#4ZBYfAG9X_=~P2W5tt+QnuiCFT`nq*e8GXByHk#^$zh=eC-saO(tjQ6PwpCyh=#J2zpRT{HODsS%$D8^nT52A?f+e%U|%wIQdx_ zn7I$DXecXcnOw6{6ug*{=OXVIA7tj4l@Sz@Q=Af=)!b2NOIB!3S(_^IE-|)ZpRS(# z*;_%OL1D>h(LoUj(Glq-neiokO$Uf4`P6hyiA(AlD9N0b=cOR0rlRLMqNK>PnCgDm zjb&Ker=V%zDLxq$BZq*fsPKOJ^?rv@?tKy)D#)m%>8iZM@OE-CL`35U1|H#q@|vfF zSO`!P;%3Gc!LiO4yi;R6y~9I&1LM+SF2B)Q?YtXR5&4puU&r0kGqSL}sH7f=>c>t` zjdrzmkIl_b&2PR4t2R+1ngc9QVLqt|#JYUFP}CZ6wHpjP(q zzhz`%apmewV-goqLDhVUs4A%) zS)e&6eN3FQ{csNFQBUbR!9yi|x9oJ2;aNj{y5hBzD)$`4ma<}6-;vPq3i2O4t0v5G zI^8w`WW*2A4OrV`iV@lao`k@Nlzp0n)+jX+IY)FXw(fRt~N%jlBF)Jgz-C zI(H%;7^<^2hZQZ<@SSoGF2}yyT%Ow5%XdgpT1iVw%h33unVlv*rj6g`!5w2Qb>aNp zGrClLnU=ZlxBa%a+1NVx7{6qIzqe`bqfM_cJ}E$16gf=6@VQi!(C~0(c58l2_R#ai zhj^r9^c=jx2M?c+S5#Cwqphp0t)ruRPE}P+{-oq#adC1vi4=R&F5;%{r{R7&8ZpBM zhUm-|!I*kfLHW$tGv_ZD7@3-wS=-n;-nn6a=gQu!daG;N8phUE`eF<`J1gQr(~K8s zW(!HrI~_cr;JobXM<@FHxs}T$w*-H_G;dhuS@r#?aVaktcVKX8QDOdr$Bs%Ws{t6g zMrNiK_P3lIom`w9Zr-vtH!{%EJ}WPGat|jZnILP5#FCN7!ArIQp^6Mi^lBy+*Y3Ev zdwP3&d3kz*4^MADA0Iz&Zy(F!vcmKf0{SlZ9ZmF14b}7%mb*zZO?+gdWLQbV&ush1 zrdAe|_Kv_ya$+y^bJeBXwDewikIy2&OfH~rVRZS5u_^c(i=zur?&%#6=pPUq8WJ27 z;OBksj)S$Sp|+}uG;L2sGWB_l!B zlvJ*LhIYg3hvYPLP3`abczbz!dU$$y`vnFDg+)fj#3dxBrY0xE#l=L11^Re6**;*c&c^22B~5*0J_+3m zmJhsrfi@^iDZGSkyi;^Pv0)g;ecK6^}3MNQk>;ku=z zzP7QHkg{GtPQ*R0tLM%9q5}hB!gQMOz}A|D5IYh6J7QXPX@`K&==j8hgyfXe)U@=p z%tIaz6`NfBOmZeMe-l;D=sylC!Vt7mFzmk@c;&f6!ew!Esg zB)_yGKQ%TnFEc*S$-{u0gj-fi<&xw5=#1=K0HCO-5Y!L`<`n=(RZU%eT|;ACU2RoG zMOiTf2zV_#7=)CspMP9IijzrbSzS#Nys4o9j%)z}Z)s_2Y^(=}s>;hsiwX*IvyuYt zdAi#9-_cVwv@<@fZ>DB^_f~REtY>6=N>NE^BMRNxSW%Q26Bw9Y5bhuBc-bK=Iy|Ew zySTinrlzj8wywURzP_QMv8lPG84hnjAP~SpU2R=eX=zD8Zf1IVQhaPwbaZ4)LP~i{ zs_E_0P9&nO9ZZAJXmke(1*TT;=ElZ`n(FF`veJ^Gf}HpOUq9b~VE+){)nLavo_6=* z;*x6XBO^)*^J`n+jg1|HZ3X!SIb{t^^|hsOeqlK961+ImdMz4)A>26$ULs%y9pR#aI52 zugXr&scminMmzg@`hnW6&Q3JCtGm0qr?(gUbfJI&1RMcxX{-k{)mB6GF0ZJruc?Q( zb`ADr2NsqUwhv*32Zzudz1^K%ogJV`pg?ndLtRaEWmSD$aSjN@T5!<-N1&SG!ZM2c zyHe`vL({4dD0pjI-{8nZLs4rNs-trNJBDh=PpfM09_nr%93I3B4Gi@50qN=M>mTUr z@9XRB=>`B%fF&@+1!jN;fftdjNK|J}Pv7wH{5S$$o)0VQpBfk)9UkuM>FVz3Z0|s~ zwY9+krp6{jdq;D1Rds!9M+dyMZ=etS+4&mebhl@0TTLSzi9!wb^kc>!cH}kybAy9Z z6J4nK!n&^Bp@F_(%;@MS7Be*1+dnu2syjS9G&D3gIM53)0Z?cZ8U<#{z=vowz|!A8 zJUlW!GBS$6j*h|$duK2s-CaGM-90_sy}g~?-Dpq?6bPu^f$pa2hNhO@9#m^5W_Et0 z9o{v9t-9h?3WHT6J3IP@Fr%0$OnXQFz`*d($Y9?g?(P=m4z2K@f4h z-SGC-jHJ4jijrDjqYw8Q7#spvG1$5B_LlBJ?9>>#A`e#ASXh7s)7#iyzo){k=8=n{(1q;E6Nh}ruH#Q0Z8XN$xfj&^- z-mWeXP3;}1Hn7eC9&7{cqZ{4b(~qt6PH3*l&M2;F=;#5l2Qv5e4gk*&j$j8m2S!FP znBj)vN`R-bIJdm4ynC##vm4Of*FQ2mJUlu+j>Ukw_q8{|(H)(2nT;S2#wN!mCdWnr z5G;0PerkFW@Q57+o&)TF7zc6G(*xoNpaBgI>iJrl;0PoFfow&!^`g^b%aHYDWp$0^ z^*x{&04n>s0Vv4T{UGo`cwkZG)y?q6x~zn}=#=sKfq`xisUR$X>5(CT7c-0*>TYT5 z>TN5`N1;1`S9*qL=NG2Or)F_7Jv}u!jva$y2n03Ijq?>6tp7ld*VF`F4WJ_d-FHJv zBQh%(*4PM#w>H6>n>#^BgSZCG0Js!-fqUTJzRudJriQxOgz&t`gkfwi2!z3bVE|-g zWDIx)ija|ER0C?Lrx}T=Lt!z)Xm}%Hc=plk#QevM2$R^Js{H)giP(nL!cAEj8D(b zjt#bywoOcfj%5VI*wn=M1Qt*PQb9V%I|SN3Xk4g{j@H(eW`L)%qP)DktOiz*=9Jgj zfan0eY^rN+0s}@<3+NX>H`EUN+gx7qUWn4{Eg_)}bo^4!Y_a9Kv8Hrl+Rnr)Qo&o|s=8gE|fn#6zQF0LM5M^hyv-AhaP$ zhx+>I1dkkr2d{BG`g*&xvsXdtT;bAEj2MQH6c6K?(xIWaZnghU7DAh zQ;G(@0waBGb!ka)VPQd5W=>ifdImG|cy0iW=pP#$Ys;$znz}oo5fX$vm`^}2KxiYp zts67F@|lo;m>BQ##`GXGoc2QFDHtlC9;?5%9|AZ680`n+Eok&i<@^YYRX zQ)A*2qtXk*ISC?1A3qzaEXvNvtN-0pc94!30gHY-K%eG0P~F2*4Fmcb}(l{AVL3AUsq9HR#=do zo)Q-y93JhN7L3)zKAswGDNcwhYH0)W%f`l<`ueJ>lEPdtjZR94%4`{2dO2QGH!#rF z+1CLkRdCR~Bj6z9!3?(?R*;vM1J(ek$>rG99U{Un8!z8|`n>gIsHqV+5p;KTU}_Gg zROMx5Wu>LCGBBO42kjUnL8*0+3NS;?&B#iLPYMkR_Di`o=RH3;(3X>wQ`OMaSY1;M z^?ubAn8x<8_(DQsIFR>8~m;(yH^sctP9!%SS5m;d!SdJtmB*e!@r8W&e ze6#-i(c@R|HeWrNf|rBoauw7nz^bA!KQA{MNKQ^}K{2ef6ii#8X&m5^-8tSi$jV*4duBZXQRagvG2L%QBpwh9?U=0-(6j#*No}FCRQd3t6 zgB2AQUuN=i}^cqJvo$AZClLPpQ&~>}(_BU?d^StM1WqHdlz7)|?mXnbZ9}CD03J#A5 z!>!!?{rr4^`1||$2Ly(M1O3iSF*V8JfxU!)xCnYH&B0MN0 z*x%p#!2>rJS2uUp2j1qU7M54-?>z7g2n-Gh4h#$k2=D{D4)^araCdRO>vYrZs+sXc zJsq%(qOGl~cR?Sz0%GYK8y_7R5f&C2;N#=t?F$(60UH(f++FV6xqa)7^Ii9QuI>-+ z14R!WxVt&uzH`^{#;vWbvt{f+c)j3EiJBGHa4@cvM@C^GSJpgQ&mxtmz6$wQu2hfjO-~T1z8zs z897-c?Mp^hjxP7^ySaGWcX7JocHiT!!wuW3SIte#%&(Z6o0(f$TH9EG?*{>WCZ?AS zE*KaX=;;|S&%(Rgh7TmjU}TGPsjPj{QQ1q~xTJ zA3k{apzwZh0w;7tMnO*M*wLeh4~U8ifrBvURF02dP()N1oLLEp9ylr`c~n}%(8R>l z>dIL;Evsu*W+q0L^tI1xsjHtoqj4Tk2>y?trlyvr`WY3aQ*xj}(lXNW%JPc(YE(p~ z3E>v1XD*rPo{~N$CVp60K!hJ0)`7!MR+f!dtE(?I@CXU;p+gvg?e(>l$$^pOFJzQt zBt(12_JFe^5@H~Gz*!OnH8_i70tbX_?A(H)B4QHKatbOM@E$DGAY*9^kn7v z+WPhvLg;jhl8zZ1|8nyQ9}pD~k&qA;IB@8I2-rOo77_r$&j+0@ar4>5r${Kq5dV1RDb3~RpTOvpwA9p;#6-}q=^bkK!C&xQB1_s7@YMTAs-TedDr!V_qjcfGWyzDe2Sy zTbmoNU%h(yeC6?@$B$-)y1KxU5L&mQ+R;N;%;c-h+1^!Jrajy1k9(>z{4F#jXxGyHX|DNs)mbmTCt%*!jf7L=P$GT3iSHsKfoB=-8MzFdD?iC8lK; zRx~0S@}oShl(wM3O5`-e1O7ds8V@NU{iLfc0d*EjxCamLn=bQl9v*8&+x&_|H z+8aSJF643#2nU%Cm%CAt=`gqu`R43P-eeU#s&O6cV|w}e-qJa16Ioc-k1wocW$$>` z)ydAv{E{Ls@m#UtlSbCNNd*nqH=ppy*p8~6*FJa7!1AV(le1SqP$1}#A6z=Z_+`8_ z>?+%x*vYgYuhv$*)05(A+PA{Pu3L&6HMG(Y6F4BkNJKB8Z*pGlw0&%GVXzt_4I4B5 z!%ZeZ;e)C=Vs(U4PlW}EKeLH^+9MvUvQP3vxHBr$#x5!EwNh|N*E2$rccX~r+QbXQ zh2Z~mG0s)305 zk@fc8^mIl09a&2obwN&fugsz(PY0g}Px^QQ3C^auK<1NIQ>#Pb=*;L`1)s>6TRVj0 zR4MFx7{wabb0NFjo|7jeFV}N!6UJp5kq~t5S%Xg7aN7H>^v^=)?}jC(L|i|#)0~}> z-A1C|5fyqF?~6!&Q&E)HZDYY)Q`n2=6Vp3PV#g1$ldLp&7UAVT-dw7C@I^OX3lTlm zA~fbqe1%Pe&+1Ig$)v_KH$;ul6WCD7+j_Cf$8N~PVXP-D739fH1H=8SbMLcwp_RW_ zrNQElRm--JoxESQ!++M~k|aTp%XM!8#RfbU0kOj;q-CWJ@v+cSQPI$|@E(#=Q9R7_ z8krdr8RDY&$;IGOb$MK{pPPZCV(1K~>g7w)RIokt_^U*01GUl%`NXx1;T#0!QdFGX z4zg(HNlb@iw|^svV+Jh#;9>;zg^1e4_>3YjiEXGV&P41t z{fLH@n{QBPM09*|T3Sj%Ok_kvWK=|mpNE6BrH!Mzr^j^--pBrrNyX1B2bK5n1xN;^ zCwnUsr;#hg3q;K_OBIx=m(a}-i!T#PJuC5;5{vi=yo(Bes)HHwx zoK3_;MT9{c@An^g`S|&H+Mg5JN@rVFE6UQ;C}7(gt|Ob+*c8ttpS;gLXYd^*GY1DV z72e8NZ~xRQ0!msc{JBy`s;e4o=jDmzMe#N6`C2nm6>?MGFTDV#mb(@Zlbn(WRXHj) zDLuCcEDNf^+`Oa^>>8(o0SlZ+6cm@1SAv}Yu$!Ell>wcVfcbb3n9aG}akRI&qNgm* z_^QI{X}N0ai`SFoo}z7nMYOT+WCP*bY%<2~Aqm;Adeqo6d^%o<(>jJmddgzd)A3@S zLH;GlCyhl47Pnub0{4Y^3wJA|E$>sXcn};F8ygLI0C13!o}E_&E3X9WipFL*5^O$0 zdwyUo+}G6s7PA#4`C$13X3BuW$na2bTJqqw^+lDV9D5e4{AHFkqJ*NFv5!`k7bY?N zoo!83dC}LH7?%==)Pif5NVz0b^o-3+FQ`dy5>Mni3C#o@=aBKLSz|eA^dP3FZT<@# zpQMJV!+pP?(C~;LNP zVe!L<4~YqKGgA}2eK^!w11l_q)wB*TZS7&;J|Lx{YhvrjJ9^7-i z>jV}6cD6RqY}M?FsqtmQO9uM7I_J-6YJlnE*|X{zn&-6jE?hFcVqtA}u;g`pJ(d3eFzLVLHkMm z9jd;o`S)soEB2cr-xL8Xa`N8qqwAa`%&-KTY`8=zgj6?k!|oUI7w$x!+T? ztMnI}yA{Jd1nGZ}_%-E^5&cN~TJk3wI6ukm!cl;Rs~_?wW`5G~*E#+q6=xizef@x9 z_G^`JrjhWkU=$PpJ3nIRPqcl1{HMJAtAf8}6ly~doLvve%l$y3fWQUO&%yI|RR7jp zU)lYa1;1s0PVb@XR$RRNM&uC)h^bwl{Y{16LkHjhXWS6oyNGZ$pof1bUlVo@E||7~!_n`3#_k2q&YvLqst(uF{J;aye8VFT;^$j9|FP{qd_=_stBAW@Eq56af)|y{80F(K)$Qp ztqf>{U)vzm)%|&?-=qP%a^L_B@B`?AVC;JOTP)!;<9rIz|4Qj^%z;Wm9Q_3+e~u2M zK(>&(M!}f&4GPXzKrx8lzmMb_@u0+i6%7s#c-sI%K)t^$j{w+yikd%e4u4s@ACUe| zwm;AF6A5zP5Vhhw^%uVXb9MjO6v%(46k4I-?mw&eA8r3I@DBt3Fz^op|1j_m1OG7a z4+H-*4E(1jnTnA7&s632R&ikdyNLdC6W?!8{(B7l=kT05^`CIne-h8{UHH$Fe;D|O zf&WVw_+{5(_xAtaeT+ZseZCw1_b>jNO#fQhe;>e~miQaUel3gJgx@XqYZC5$cYlBP z{SPzz-G?|Ee>3xMbK;DDLn0?9Cod-}i`(`86ZxA){%hHOwh6GvL0@E*k(H4Jm$EVd zn>+;YFXX>w^-oIe+5vRP%78C5fDbvaZU2)1Y+xH7AuA`_0=}`?3_d|N2qO;kA0z$M z6tMB5M!zQhxc>?T(h3LKA;W(|zGwSd0tXkORZdO@Jd%bkaGHMv;x6S-e(CQ-{{jo- zmj&q{NTBl2<-bCM0QsOiP?@g+x%1og*U#o3YCr+N<<9~kZ;_R50R;R~OkTbPQVoX) z|B43`{mu?h0=^;(z2lN)zMVepZtz2}c25bQ-FcjRy+wRC^OfC)q^_L4ddH zK9x2;>B0eIxN-nETV@9|@3hfan`r->iPS|N03U^6q(=yey7j zaM}(8N7!x-@MUL6{)WN7&H|wUilKhv8zzXHAASWeAS~bL-2MD|+5_PMrKF+Mzc%xC zQ-LA?2de4U>VxaA5%^WbE&$vObP0YZ;%jy&j36`+Gk@3Izsd(0z~R9ek!u9?{VC*e zP<~bcWyi573+2KA+NJJa+4KVm<7ug%8x{|kkkHI@%Qv$7`luVT3d3W!|q32Hyu$Us+ZZik)JRifzB$U$$D zt@$kx!eHo{nMJeO{DQWeg2f^c}(yAx__E$Hqg1`6W7pd6wZ~ zgwh>#?Xfc%G6j_ODsggbF#(>V@8j*V*};v<@9qRUB$AEynHuj)&U?rGT*TpX;5QnL z8Zoee<1$JgT`)9*u$>cHw#N_MM3bg1(8x>g?X&BI`#kZp-~$Zfw(P5E3gC>~xzr5r zFx7KA>2>+=RG_wA5sczgp4m8=LZ2qnDEHDzU1QC2JQu$)VBkU~RLPO7n)Wd>7_Rs_ zd@&U{jCj=&C(N{!`-XGYBadc7)5F0d86@+&a_{-(nwVC=9b8(;v?3NJqNUO=6S&x7 z-hTP$Jg~GnzJtYz1mO>$$?b_)+;3)l2s;H@V(le8@Xk3C*eJ|(;pE>;*bhQuWY8Bk zqlCWYq=2#-)fV>r4^jvRUZ*2o&7*otf+~YitF_A_6+aG?`#SCjSItT9Pm02CU_9qp zH(0v8h~{YL_Pq%yIBm%2qVbD9PA#dCNtd#y&^|8Jca-hqxB7R=7{2Jse1}t)-%D!n zE1ve+Ig@Xb5DMo3-vaA}SlVV!#%fcvrw?b%c%Ruiwl9&j{NO=h%lXRz*M9DN?zO8E z4pzHZXMVGN!8!pdfD@x zKFI1dPKn`hsmqz#*80S7&X!@M)16I5#ROq5Pxh7NSXb9#P2t3UDA<_c_!wPyg6sVW z!_dMm?u8RY6s@*-qKkAYOa${7hua`)`OyQNn?({mC4RORs85^$%3MrYH+Nbnc zfeG$6A~T7Ky$8TqnVxe`c9+dgK`;6&U37*$zd=XHX;0Gg%4fvTV;KcVd7gZfqW2ou zwUo46%OE4rSbeX#C0FF~RS@vYY9sjj*d`(;b_-PCD<`ImkmT@ns2Du`KtZx`&04w6J{n1c zYuV3ayn_LV{C3aLLr+Y*AEFPaY%zlNJ9jLHL}OqCf?iX4I<*;|<&Y;l=%-Mc6PBW5 z8*_K2k3>SNR{=agp8pqPLwbqAd}&>2|9F_PUFV*R0Wd%sOII4q+*xG}t%PG92#;y= zOyn;|z>{TLKfCzFu{u&f6k&@{wle`}_VFvXQ7_1!=Aioo3fKAd%6f!;vlI3~sWmvG zhREDf6@&ZRnd|_L7QF9@wiglhpqq!S&Btk(GJ&uVaD&Cuiup?gI!-Pnx|yXQ6SU>* z!O0~~DQx_rUWdruIOGYWj)7+^5A5-SO2-32L4fsT$D>E z1>Qq|lpX$|k{^+L{DwL$nRQO8SM=->qke6})ePG4?6O(HI546_Z2!7hZotcWeKPW* zcL>-MR*I6*F--w8IDx-7sl>}J`&{WGe!DnT?q=&S1rdJ+>p^K7(IE_I-W+CqAxwZ6 zM6Q2$L9qG~FQ}jj#WrGMNP#S*C{Cl>dQnTf@+1K9Qmbc~swyHjG#lER%g{^MA!3S1 z>LBNUbqXgFiXw@U(B8s>Ue8H3p&WZ8iFpi1uTYoCzVtA_x(`rzx0j*AK+?~s0ROT9 zF9vzJLZ46N-nW2YYF7BD$c2L=jvbec`BS~;%BXdfPII@g{#5py3FmTvGApo5e>Bi- ztFN_UpjEnSx@>rnm)z70$qjy5A1yA@;-0KQ7Xzd7!ZT^D*w0FbAW_3Kk-X{F79(Fi zFZC9p96!KGFRvV&d-zQDwX}?NQELJaxWv^I2)DyR> zPk@Qu<*nN4z);~;50A@s+jPRpgs4Odd@Z#W5D#29{^n2o^CIA;2tuIVxmI1@p^A~; zCoJw_wWq=9kdNn-%nx&tU4t8fZK(@i#SDx@&$7e{Q7kKmx6svQvLd;Z1O;p}mZPKc zqpBT)=(-^IbZ zf#Ce8UN70oYFUiCT~@4iVXMY>7P1lsLMey2zP2|oPP~O)08GvgKsV7Kp{`#kiukY< z_o`|uW?XU(;pWC4;*p8~19?faGc$%&R*9j#Ve+qEZoE?&I{cY21j?Btn_rh2&)oGx z`Io@G0HTj2Z3YglDbYabcTv)%uhA!C(gSt2hD}&gc_efM-1bW07a`NSc%;5cU>YPo z_ZTs&fjds~)d5V2M2);CeE?bTy|#4rCvTBO+K3$TWD51>Sf!R>1eT3bumi?yflrBI_jGQj zW#+kBQ3b%mT|-=1L|(7n1-a6TczW$s!`pd{h@_IjsQThcrMG=bSHmp%mKuF2b#p1H ztyuI+QS-$9>D;Fz9?XTRz2T^qAd+#HeVcX6^_DTQHs%O+b!sOyII;2)j3f<{;L?{h zX4_jG6AL$SyK+6<&+Mh7el9^L)3%g4xs;q*Ll#DYclK1H74%g+RV6;ev2Tu5aQroR zQTvWU)Rat~`-OO5u>}x;aW^U5PSN!@#&fKG>6kz{Q6>UwEnn&Y=(&4l>`6mSCg2 zx-vu7EYE7dTs5TVn%PZbCYDrp&LKspZ=X?1BD-sdxFub5ENVDpm%OxvD>Wl`QXB14jVVp{I+6sj2?PwV7~w=Dw_JJFWXBBhTd@_$>}mC&=lO zh{i7{U=<=jd_`d-bb!WJs**#6-N_;tir$6O*Yeu%ZkyAhIhJE_&9r!>;sD$bh>DVLv}$`l^E= zt5%})(lvHcsSHodLt%;%s_E_8HqfU3(l0$HSZgkM2NtIhzw3}7a)SW=n953Qha^ao zM>V3LxC*W&SS+cFTR)hMfa}3lex2vCTWjN996Q&0-h)m~b;46pODJOCSmENblDZ7N zE;2}Bo7A&-Ey6geQceW4X_46N9N`ilg7}h-1 z_(&5d2Mk+0=p5UpX-NZ)swy8-#O``bDYZcQ7YCFD^h^@|>eyK^2uwX~csf3Am(Jm+ zX-ccrqVFyoOQ;p0+wN%;i2#3w-u;iE5K2+Y?$_ASV~^y~4T4X?emU=rQ}e1=SE7v` zed#W22oYCrXmUjHnaE9PKe0=$(rOjl#>ivP>wys+_1?&y!q`bUW-^@4ZRJP(w@XDV zJ5lQv90OMdn(Wa@fR&yI#H5iAE zfapDzv`}Njt5VJ=kB+ZXIv!#cFgl+11zj~YL-5sQQnv5US8EICt47MDv{J=O>T5rSvfygr{Z*a=T-;ik((EmjHa4i%>#YmO?_kp z!w&>Uwv<^9($RXx+fS<~OWC}_sZ=UljvH{IHiklh1tGr3?D1K8M|NU@@@kl~X;IR` zg=a-td5l4F4$L+}!4@8(^QY-!FA`0KbhosQD2cu?ept7pir^i((sHjjq{d@{CxNt$ z9+#`8jw(d{40`#=DY>@hi*BPF#3QWTR}E-|9UeES5(!p!dBi+7gB&kH*R<1w7H(AK z{;yZ6#p=O&H$b%@`j1jRtY~4KT=_DL(T?x7%z#>_H5PC<Rxj?GQIw6~ajc!*?+Y0T`Ip(A>(`!Up#XO??O(eyB3 z1tD=PZ78h420}ZjVyi!FLZU#mn48rsNP}XcL!fkUUMmTDbcTM;V-sWXBJ2#RtxgI@ zirDi`Z;~@EGe07Hnv5nc(r?ge0P4GEy>l(-qsdudRE8~yUM^Gt?+iZJv;Pf06iM5-!8JL`gPQ^E1JAPfSJ?(CL6SDN5ChXdj6 z+fNxi+Yef0$uN1hbh(F2h|}+Ir|xdBf=Vi!H{EGy7UXk1rUZ#*xO?|#{otK_y}~3! zEk`~XW@*nLKbdRhgsIQ}R^}0obYm*8jvyECzpS2Qw=f6>xYZRf1=!?C7RLb8c89vQ zXJT`@N{xn>IdEaC3uMdm>ig75E4TqUBahfS%_zkx^DB{E<5b4^tB4tsXSoXGK)@Ypci(%O z=v@UXpmQHNj2B*I0VyLSTXJY3A=;{xCG3n#oqe8Z)+J2smV?r}-h&>;10fEz5)cgo z=vSPVbT6%=b1QdA#-cik^c=`^wHf#O*!4GY*#>Y-FsQ}IAD_J8zako`RnevwDDzr8 zcrIAmDJC&y*ZQFoO~`JFAfe}aNtTD|B$=pVn89|EeYBt==Ga6zIa#Uo)kR78K|`CU ziAKWR+NK6c-J|qE9y(S9AWMZoPjY6})eNP96L1k#QbTeJ+yWHiVwfq0^vvgQF|tH} z0WEk=w1l%#mX+HZA$PmGoB84)byedKdVGl3Cr<|RP_&>tZpEDi)T7+!6$`R>tTSlm z^w7ye>1K%7^zR#W&D0!gOPno-WGNiz5s|Wcv@iQ)?0jb!!cj=vrl=zvZAH&@D$Nr) z8oqFLZDr~5cXb-J9+$5}MNxSQ&bEgxvf1ybntM^Oufto#cfUE}^O_`-IAnQ1nB38m zI_sNqfyb^bB1}AfPh4lWF`LZ>7Zp^wJh_JR;zj*J`Q? z*uAr-qsEg;7cq3oLbY;u0f|TD8`JeYMdoB90rbAoBtvO|goYTeAFASpkAhf`VCP)a zsOvx?R`M>Px5rxBKb4!!I?X?7=H(`-s;LotJM16d>$AL^XJAW@uxoSYlC<7A#XL2y z2|;m2LL;^-<+ruKuBQd)gofQ6LZF3A2oFS%iDi)0UmqXnxA}$cIj8RNI-~aFWLdY_ zu?M^(zL+~~@dEAJ@(72ffgg!N>KGJnQ(9HCuS22`Xks(MeEE-|h4s`QdYhNu2LXU($mlI(p+8vO#p z7$$ZoOBPy@t1W3wyfKx6gG#**6I|UffxCRYG*M{-Vx{4f*D+oPZw{IWe+$!>uRSfl zWLG|XwEeSJ$th2#WdG~cvbr}&7A>yhs?LxlVC}Br24);0xF@)@5o}K%BUXC&?I_AVjwzIc50t)Jy zlOY>C9?oK3Ppo zS-!!KKIV!#;+p~fBv#|Cv)f*NF-j$n1eKKrLTG*3@p2Az^DGW$Ku)T$x#>~9iRoAV z+Ds56-vZ@G?dMX2!#XHhE8bz^veaWzP&`mS9lLdH9_9j*f`6JOWrt(AAlBpK$boSO zB`mN%k!DlQ`-SKkE#5Jzhdny;bkfD;`99rRH-h^aoYDalm^zq-c_>AC1e4r6V<+z(&a>W(n(!$E=f^(zG_JvBoKAIU}}N3ZuxQw^8PO zD|NyW>Yepk1!otL@RPd9bxLYxjm=;~*<6;@hJ`K;NUyMK_0kc$%e@g8y@O2Bi&Hy* zNn+|*c(Em|(@zD?vdR+L>yP;TT|%K@-ToJI^N$mQ$@PSqoy!s$nY`4U6h7F8w`ZYq zXJ?-&0aXvd0S4&Sy_4!AWu(9%5&Bx!7+@%}=y2(~{gYdB&?}X__o_?U7L!Ah@g;{? zTX|;z&C_rV|0{G704b(_Olns({Dfp2PB6-E6#5PzuP5@R*zgtE#{%yYIB%45xum^% zB_FjWc8MhrhGBy;oUdR>_=z&#JGi`wOo=0HmFQG!RTO1>@`ejHS@m`vP^q@V&GN|W zao8$sRkVcHU%tMqlV+Dm#bb{MeK6xJXK#W~FOGh1FNWte)G$b+8GJ<4flqp?8Os(D z21>yP_{f|;Gs%kI$qTKgYf}&U;=ohUL;9GQ)qyFuqY3JLNB@XU1*VZ$+)ZEdA; z(uwkZ4H9q@czh+6;hd2nT#ZLjBZ;bBnG*i5O|b9H=ckF)2G|O!wUh|BkBDV!Y$~++ zq#}%b#@bRm_WFr_h7@N4&n2&&@$)O`a~Au)GH$y&#l;Y8a*mnUhGTA>YOoO%vFYx zm!I1#d>{G}lLdjejUlM1A<|~L0>|O0lBx!F_V7S5xo>+E*4g8LHAnfF9paaHSGRa) zGF-kiiKj|QfubG2Nn~jX%w@1daE(oqQR%iI&WtUT3`@Z^;M(5Q3EiC@&1D)2a(Fr0 z?qK_`K#z&CQ*zS_V?DW3}{ZQh$_ae2w%@_(8ykO=qET?2_MEbY>Ic6+ziuCPnaCHhLNj z@VL|p8x76!vif~{V=~U!c#d&)QAQ|qn*Zpqs0O&ja>~zh1x0GS*~4<_DwFwiyjvb{ zQCys`utkOq5+i`BzK}b^Cx-~YAy78f)Fa3anbU}7nj|~uSX6MHj&^IZ>ytx1cS#}3 z#_q$5%qO(~@l-k=C24Y4gO!nb8iJ1UJ0fT~0U$C(8-Zp9DB1!Obcr+9blE#7z*{)Jqb|9O{XSQ4AEi;i? z)vQTW^p`p)_xmr3K=T9;Lq_!HV7m@p!6vBW3}q~Hc-QFy%y+7|q;nzL4Vs26Jik$D zWH$9Ev7ljYe)MX1aE3uNp{DN>2%*DNg0u6$f)&2veZeDPb5g|}tu$UY=-pAE*pP)o z@FR&_?-&BP9uQi`^CFdVpmDBc;H?+1BvpF2NxT#lfeU~dAj8cB5H@bNtP=R9MQIlM z^>d#D>qrihZhXrXBoHF9d>`~>k_y>A@07+DZ5<%K<$f(O>`{AdH8zOJa%P`)yszMZ z1vMaRpz_qK$QjGh+AYS)q%HMUF*&n+!#rL5y6K1SIi|Odz8eceO9|~pE4BYFV1N~G z;Ow-%P&~#=;wljj&&o5tcjO_igC9GnvcApL|J<82GG=yF z$UKFGA}Whjug4ggOHi?E8dibRnEavZh<$wUUg=51vr8PZw&lXhii5QkYWk;6a_1L^{jw69I|ILoC;umFjH)fnB<3!{K&f$6 zD>~%nack8%-I8$zv}TaTHYMp~$Aw-%jP%r8d;JnYS5SpZI=KZ*Lj^~caCBS1R`A7mHs-%S%${BBI&Ug$Mt0T1~ z-xJ8jVd1kZil#%H-h);@)@I|2b<>Ybf=PkjE+kgJGUjfi)Q`DVpeQ=!>Xa3E#4i&T z8^P$TR+>?90}tVO2OVRwD4{~Km~xZS6JYjmL*oa6EwwhXIB7cZXl$WB$a;w<>D?(3&;SE&AS^lu5gyRhAtK3yr2$S4Tzd1CCwuMmZNb-Z zb@S<6YG)Wm7b*QUz=|U@!`W!rASuHaj(HUFem6 z1Y=N%em|Q7ux-Zqip!CtBC&yAVEp$>5>)z|jC-00jMhtjSQ z$#C&`4GQ*|zmSb$KvCi!?zI}`qzsx-1oD=Z;md}$^duT=6?=J65P|t1ELxEFHLpL0 zx6mt72UYT|D?h67VwVZ3yJFDnHA-)C@3k7A-M__W7$^nwA4%4gaV|lR2T@6d(8|ef z{5^Jli?$-Tb*`dK2{#Pj0|AY7Zs&00;ag&RdHc*~Vd{*gjV|!PoLaI^?zWgwH!^aq zk7uMb!T|z6yFr<6lO|8YCx-cEdw<^1r1C8zNCCs^t$Uj+)F0qM2FP$`d7s6m=v`>@~6o{xOI^18Q=Lg99ssXk){pj5Z1`3uJpiP zSlB(>yS?QH|A?j~vcW=8s=seHT#@A&{{jG!1#Ceunl-4EWk^L(#$++T6$~c8o_7Gf zQAgB@B0ExMZ05{lJ=pu@qD@d;T;QxF+|P?_%H7v7)eE!eEO4*$S2bvh1A6e&z#;oG zS*(kq&+zKClDnMC8>$=8;oi=@8Y(XFmMWxd;RNBV+2;7@25a<4>76Ik#`DmH`tH!e z$ldRfE=*0VQY+z>G&3_&8)qkS zl$oVKB!NElQglRLxsk&*pzAH_eu z5OCK4r5|2`ncME^h@K~7s9=yRM8`SZEEE{h3(*bf33n3wk#MRvB6I8fR>n-YYN^-R zhv$#q%}(KCdz6zy&cFS_O;r0XH(E9L5CiZ$1sKtzI#h%*%yqE?Mu94g_@#;<@Ymq5DjIvEp?SaqQxqtsQ#Ww>f#D|gsGihj;gek!{V!3 z4GpG(ctfLgz6965%};A@G&sVOU$UZM^2ss48r}ewgRk+ycD)w4s_dTc#vtd>CRbBf zDsJpL0m1BlEFfBfQR57E+`nGwNux+e2t!~#)Q>pd4 z7b+d(u0KRj)P@@%a8Kn@PT_^6A1~CY=+P!qrU*?WP*AgKIpq>EafPm~mY(Lfn*DjO zo|J$8<@`hzPggJN?ylH=7|$M&#cFQkRkz~wh$MA(SI=1vH{7KYYobJi=p881vu#J8 zJUJAlQ80gDi7!2A*@}OWdC#(ezJ8hbGE2>i5h5cxSc>4AR;I~WVD6H(tLq-c?gL0Z z?yF%i4zivJH%3ZLihL0F%+=^7#sS{GW?CD1>ok?hDbyNCCr^9zkgUf}Fl5#?n-SC; z9?T_(4(f*T;iFMTDS$dwxY<{64*7LD86LvR^I}{4VySnYVZz1mBOWr?a;Z!2@FMbR zG4Utve2Kc4VDd$y%~+~vQrX153?d>fqPy@}?i;aaC#EY*y)k!5Q9=4bkO6y9Fxs;N zy%CO78p*NmeCEMTn`V6^iaW?Ib64tvx5md}x6Hh!b5h)Lp9d*IVkcRe&e!8S^Shw~ zZtKj6dH5(3nP}OdFGtp}Nbi(D%;EA@;WR-~vGCnoD2#Z1iBsDG#(9vQ>>4hYWMx%3 zwzCNjC!8hyH_mDp@0kv&2&VOygX{$5#QtY5#U9qImCL0#zpQbBKT5L64OX61(-m&m z)adsTem;tefi_EXgdi(T3CmcyU(amm_M#XHzb&2q>4NNyBa{1R%i0@bfwLO<>Q``H zM>OL`#5C%2d$8KXPTr|pbiN22lXc}PQr~Oui$yDj0mh5RXw4`EK!k9Pv|jkb@Jop8 zz!TxL*b)=i!?JNlQhThm|5~qzoRxV0@UU>inRc<&kDf$yfyVU|CI$7~9?AcuqqY|- zxp*GxE(kYn6SE}JEr>9&tFtSJbL3RFBs5ZPW+MU#*CAy$qVB32T;8uWPr$<4kt0Lx zaHwB7#eC_O25P49%z(+{4KnAZ2wQ*K-HR9s z%(D9Kvvu?h!Rnb@<25-D^-#RCyajM=#s<{h3?B#X?(UHtcV8q;DtxoTAv9l;H2E@5 zr8)H@bO&tO2k7)voC+e#GL_zyM-2M7zeGoIor!ixO% zfAU8J37_Za65Otgw6}s!(PYDBNd4D^N>IFxh`Nij^#W^dIp4PaqotGOE zuIAbEVce`tj{V*Kpw&*<5XymzfJq>2Q@@L08Pq;@I@W2&wkX>8CjKcVCCo{S^L=|T z(p{66nHcHi<78{3DC{G1;dv$-H+Y3WK#KmoR~IJn(H16&^>Oz_>%5?GmaRzxvpLmL zRb1Y-jIKMX4Zk_I^iFA(yYK*c*JZqb!G<=fRDOBM;b6zW}*gsHv&S@S-h8 z(e?b=2p1ruG~WdJq%O1O{rIo#a4w6;9hhWJ1rFePTU&S%suud!TUFOO0-o-Q5t-oe zjK}wRD4TXj(aP2dKKl>SIzNs?gR$iW9s22!)D7k6O?gCZQ=?|`kM*f$7yD%OUvU^L z>v@$PTrrWaxC1OY^0#ppIPcE=)%Fnfe}e;$7PJB&MM>S5_6Z;+S<6PsISd4{(lhC< z2zNt7My~7So-Cdr_b7M0iTPyNO@74#fb$hx79hH#;4M*}ct6gB^GDtjA|Fyz`8--X z#QN(@|vmTnK9%7Hl~kKWvOwCV_0JNZZG zLyE<085ym!%c=K^^&;q5y9Ome%ZE}E$AVrsW_mla5Mv$XAjM;5wO%1ln>58%j_&2o z``?rgF9GV*-hnA{x3jdT!oPU-K>|4Sxn*8pb7}ot*yU6)4HJ#(>_ULU&)UFf4%C z*XDgB;Znh-Cr?Qqz_E19oRyGHNX8ObRS(Z;N<{_|_`v*5Eajg+eq)RA*_em99fE(% zRVrYQuQ`Nv<+_Hc_UK2N2e`47)q?l_w(P?Rg#y1Jn5n0n&Zt&mTvYe2)>}qN%-#EBOty5?ACVp~-X*Z#1dv`{#QFUN^RyH#%=t-4V;d0%Z{TtP~X?OI9Px zN(kDfnjaIndo@li`0dl7$gJAR~NQ|1MFuDt^2G5$LJQFk%w*uX2)I1=Dgv1O7|N$>0;D(zx1W zYIISuBPVN$UdY7kvshVB@0Cqpe#OnUxP z5%~8&S7rLa=|U0Im(pBiXr^NspKSTIM|}PJUr{#i%uVwh8Rr`zO28}h&7a0c(b_Cy zjZxa0y4Gssl!oJ5vhJ9LF4u0>Jt{d1ERnSxDlYf_w!8Hpe~V$JOT*3Z_x@Tsj}7_t zqe3SgDf%B35+g3?Oz4$tC`WXR+T>~P2e9;wd8oH+B7MUR!Z4z%eVfbHD~i@<^UT>8 zE?Lu_`%tNOK>rN5|%j;x+@$kdL8bN>{?!lS z9;8tx&Yq{|ljbhz1})I9;MOd^1o8e}*!(q98ZoZe13URXUg6hGLM0Za;|$wRuPSrS zMWU>V(Rtaxj-$4m+0yi=(b}N5E`!fO8ItHJP>glm5kpcr_@NTX&eUt9v~R^SDXYHW zHbWrv8SeUWs1*8>>4=i3J1f^g+9M!sMA>pQp}Lz`-T1oh%XP70*#$4ac{dJ4qiMMz zuZ-5pxROV*{M3@%HB^+&_jxKf}J^YthJk~q_ z|0*ZCdBs#8Dx?+gqFFKai(E;~;qxX;S8HZKMG)F|PrI65Z3~TU-IA%0A$jvq74@cY zLn8LVM$Yn6k?#F#bv1H^yQrU4Od&~&@@L$Umnf$qvwn={hB>~1-OTV2soHpny1${1 z(7U9ICgSjf8$oV2Y+H;5tNzP!p+_B839%WQ%u8dM-&nuKJs@FC3Z1d(7Q=H}*~K~R z#J0pO-!1DtvfGhtq%~iol36?*qki5B_(=$xNTx%Xq@)UQD^nZPlTQEd=T$O1a_DV#=T<+Pd2RVwGj$1C`<(?qqOD{#1^fRgGa9%sP?mJb+Quj7%m^4%Bj0ffHJ6 zCvN1BC(pb_p&Josg@zo9v+Jh2c}d#4#i4TAXX(s!S`T|qrr43On2!@hyY<(yY}q82 z-ewGLHWILQ{BL2K^NSwnE{Q6R^~*r0jJWSF$0ai_vvn572oV@;IT-kgiI8yEod5M< zgp*L(4PyqT3ab%X2&J zx|6&E`>0?(5imqsd;AdKcIf+dnte5=bP`#EWX>8158X>DfI$>Kw}ay6cmIslYlou; z#Bbs2Q2hez4TTl)lp8{X0=m`(yOm4$rPN*I8=nTmlohtzd)0o12c19uE)Qt^h0(?= z964v5PbQzk*NEqM@V%fV6rbx%hB&~orp_;C$Y_0a<#lru2A3@LILA9B} z3a+^nU#h~&`VqMc^$Ks-*5SDUSSWLMb?RYw-F*Hl=FGXN0-9RkR^wkDH}7J5NK4_k zHf@I#`5rnIDKXdQeb}A-#T`-iXFuw+xwdC?X=prp&XNOrwWe#C_EIs{b$@Mq+B15T z1^jh5bze+=ya31F$6|M=!Bcc!a+tP=*-OW1N0PaP2#s2i#%PGTG;_y6wqt%>HpeVM z@)cmY#uNF*@j~-~H~vn#gZmc?$@MO>R0XL-+4|q(W8gEB_0%G|xQ>fIIYG2$i$Vea zfa=`IFU(3lgHek7((PO35^eLyGPddL57$2otvY6}sJX7HY@+^s5JdHIejK7RgnQgD zo6IZvJ%fwWkGJh7)9}ZXH_A@fU^I$eRz+h{h)TEW%VVDQKH)fhkM<+ z^~*-2zX|2P8n8{>+?|Nn`)~Pd+F$=p!~@B`whtlvORa&4@Irg*%DV8cAM%O{w}W$_ z6vY4XIE3KwrV51INDnWQE8?3L((dcn#BL~$e}#6jcfJ_%Q_)w9&lOa2o|fi=`<<&s zD*wZUW;tKDTJpCvc-^sD^olanlBMOYx8fmDM5Ks^(O$6VsBY7Uz{2*q9mu~(Z&wvp z2t4&b;G{LfIGVrk|2J-Cp0oa`+|rih7)j+f0w(gD8-*bvN-gp+vUjd(E{J)!7FDA; zbyyg(SPpdh4a+^UeEVH;Tl)c|f^7UxBPt=ho;bZo1QDOO{x`ke??65}UtLAqs|9oK z_O>nX9TDvk1$05UzdR+iui4bkW>TNYzmPw_{TW4$Vw<}+k%052_C2FEOWK}nfLms_Q?LmrnY3bfr8|=yFYIr+ z$-omVsLaWDMbxLvgCG8Iw>5L3s8P{w?zpI8M%!(Na-8`LYv(98Dj6)db@?#Ti_lGz z2Ucv{BxdO`6AzXV62FY;zXM? zZxE+Uz2|yX*yLUDVN;eL+v#r$!k0;e)8`#aK94psAxL?Goz-puUy2n1@4rhh1}==^ z+-a+AP-)$iZ!h0H#SDjzQvsRZh^nH5@qk_rvU`6fWH;}W>Vm-%GS;&2F+UPwO_#=} z>WnHt{A&y_T1kEs3y;SGR#w610&Zx(Fo4)g{#YP5lF_WPd+~dgaptYADhh86LHIRa zXDB-#298;HxvKM2!PR%;;ne{dzhShb~98d6)Vne&hce)#@Qv1WIM#@Djq zutNDI4(*H~g?Ge;GDz7nitu6(qHX16l9$F3NHAJkmb`V?Gtn zR&i1DccFSG4a}KMl)~fpBG`}W=oDj!rH&psUMEr)BD_0&`UezRPxbUviaTw*F)us8 zqrJjyc-Z)1cG><&;Q6SmlZ@TJzE?%%DpXH52Z{Hl+m7NnUN#nWdq-GrS2PRm~ z6wj(k*}blN)~E~y9J`X5Zj#Xq6qu8Mipc`xmsGFXlp8; z$vsSU;ngBE0~DN9svEh`;^duL@VcxjHzlM?dWsPva&79~4sr7YZ=^GLKdkb%s1Bji%BvVSL|jj|Q;nRk)T%wo%;B%UstTX+yi1!x7%-)Ju1EUJmNx zJt%u4SYj_r;Fmv8%e;TrHNctXQBRm5n7J|-S4Xv5M52X{w|s)$ZK~+sr&>->{Ny#N z|4i+)3js(`A)k!a2dT{kN)03Y|Ab_ZA#ODM?zMuCH0}O2bUVz&|MY74 zy}2;<`r{gMt+vl-WYu%N%rPKAB2i;COU&gQQ!%jm!TQh)FH+csG)MDKj!OP*^?2L5 z@;8=HZ<_&imf9)TjwtNz__yU`P8N2LDj_u7kEWgt{T~1^lL*40dyLZgJ23S5g?f^lISFwo%>b=%`9gNs3bRs${q8N%5|1x?xazfyJT@4jPk<$1LSTW%7sl#S!wahG0MsVA2Rd$r4EXvvf`WYss2kwGJ)h3oD-8A95YO4nryh{^G!zPrQPT&CsAENnwvCTDBSUuy_AZo|I9-c}k?NmKR0V8dZqsYG zU~j6vlct^GYl5se*hPvgF>AhPF6xz*gi`nLCi!cn-HS8H)@l*Sb!Y$P_l|CvEW6m`R7j16;tf7yy@zA$|- zLL&*v3$y$ioDQ&FxPV$kNas08@=mS;`NKAsP>k*YdY2%D4p+fK;+6Hhzm|Ta;vf2d ze&CQ9vsRa5MEg=J(Bj7A3v}s>uLxy{FPjFG<_(kLwjM3`k3i6&4e;t(W=r!0jF5S38)?>|3GL+`Bmb92gy+9t%^VV<*B3dw{7WAz@ z=FYbHhX>DxP!G)FdFQx?i2NmGgo*aZR#*@vxzM}+VpAW;M@_!{r`Eq9cm7q?eAZZ9 zK0l8ZFx6;0CDtlA$TLqOG7c_2R4F3Q5gD&?5*A+$j9N@ji}pP*RY!G|V0PqXS7So0 zjqy-h*E4EJAx?2JH(JNo4{l(&vv(h*=20w-oO<>LdBycqEOiiakc7g|TPpWdxW zZJrL1ksT1l&unJ;o4V>iom3%k{1jKnRDXo>Uh-XLQI5h)($%aZPFJDmg}V4_KJ^z5 zlnI@?4F@TLY*SDehH47)ceP9D!h~|lUu|y4K#0xXFt;J>&=B*bGufO`)@0PS-j6w2 zTGCOUCI!h5p}WduO`sN1~IaP7DYUku-ncV36{dVAr8yI{0LKe-%y4SRDcbhz*MI zT$qTbha$*>P}{q=6gN5}VE#r|q-m=Cu`TneM(xoFEK`j0rZUcX;|_5nE}k0WXthx;xzBbNSZ#YaoP8{;R@z2@o9G6KGvlw|y()jSPdg#7Or zEUZ-9?UOxo`(klsw83f<5?-tOg?F8C=k9ViskZ-_hw$=q$c$}RDD}M|kv2=rHcFAK zIjx}|i5Ez!wfS1OZs~o~@tZPNvWPwgzy8_(vl_wL)3CQ~L{uSvr{3cZn{e_sFs*Xj znizWyghp*0ju!kyD`<+080x?*-VivkmQ8|-QXYncIx^m+CD^7}hv7$hW$=V-9KeVR zHS21VKgTJ?#o@_%TOA4Q<{7unbq0Oo{o;LGabmLW*6~4)6CsL1Cf{4Jtc2RwdTR;M z1J0b}gG{I#AJi@k%S<%F z>`|&bjhM|Ofp=!UFJF**_WZB8IQT}S*PsX}R{pmNZoB5gMY-{a4!MC9DM!)Ml7lv3 z8b(EAkG{_d%~dq|&mixZ^>iN=c9)5TRx_c(pYa@*gF>9x3X=s*xI;|roFjSfF!`Ml zL;Kg)m^(-_nkppGqtdkp9i$-Jqey4xnl!V=I^a)YB6}a=GKfpJJn{AQg zq5sx=e@Kly31#_jb0a-OQflemR=28-F*prutF3unT86CN@);$mdX~!TW$zZEANDPx zUP&x2TkOF|Mzt-M)I}HTHUi?*Bz`_7Ez)yRcq`UYPOooe-#9~|`d`xf;c2`hSuBqDO zb7v_dOZQ$L=+W8K!rj{*Ss`TEAASfsxQY|3e28fEFAc%khA_^!f zC@8&m2)z>^^xjJvkdOeO_o|>M_KFIEyx9TI@sxYYz4v|ZzVAB=5_Xwc>z{wktUWU; z!3wn+BR}p^?6l=!M!U%yR)qFIs5qCX>HT!i19uhULIm#%^6hx4Z)fyA8fA?mMH|h^ zj9#it?p5|U@Gvdy7-Cs|X0(a9PXLn=XF?;Q%CM>qQz%z?V4IJf@}8xaqkk-Ov5XdW z;N(87de>7r_Vj5-wQn<;=L)FET8d~*gz?gPRPm==@BAWrfaji0LrqQk(Sz5gEY!D9 zN;@OgrSc~5EJ^{}qf`{)L=V8iybiB@Ras#_(Dr(ua~*tanPG;@KB0Zo$^3@n+6Au? zy2iK8nJ4UHNEB0c#>SPCL=(5H$E{BlW9gso(74BAWEWqG(G25_X;*pF5xHYgA?>ki zat>urncqi3_lE|72a7j6>KcOIa(;X@e!yAlL@?D$My(tlLEBVO`1;|xkeZU9;0o#q zvCoQ@t9@26=lEJ(YvaydM7T$ep54D?{^OaWm17*Z(KeU2bE;nN%z==XmzEA=rd{&amSohQT$P&+y5@PK3VBP$A>-sLDpq>fs^Ur; ztRa0xY+oJwhXgsv{3Z3?)#{U@Hy73y*{_Klp61ptK{rZ{?A%w^>AEe8myrqPr!jcO zOw3n0&;Dy~HhoG$*hs1Cvzuw=?%HekXC1no**$%RuLZg742-kw&8gO5b@P@-Tqr_b zox3&m>7qBGz_4)L;RIi0)!~MkcU-qq^kSIqbBI12w;gdl&@ovkZt9kEEIPud`5pSz zNQ$}Nfc|W{P@^3yPo3+lu5>kQejJs=Ou>nlQZ1`*bZPdF^pvn)(YIk9qugQ0UuyxM z$LCI5?Kp&2I(R9Bv?lU4oqa&kq z&Q0*Wyw3!Wk}Onw(3!8^XUfaZ!JeEu&u|YEWvx@yMgxpNr$vOr5U2Wd zcHyUN+%u`n!u?um!lHdMPmR1J8P(5t>#ZLW5yL8R3B{X({mfkxH0&>L*dtu|TMA3# z7Z>*4DO6l|ohl*a^R4LF$7Aez0`rP}<8x=kvhm9=7Kbwv#kG$d^ESXF5mwg%1&*2Ft0#t%Up{QUbGQW4uk@Lr2aiSO=`El~9`NejGBQk_ zw77QZ!I2(BE$s(Kl$J#7s#W1IOFl^?dApA0C`B9NVsrVWT$_Z?>TxkICoZ$y{%A(0 zD{gI*YyP#=#g;Ynt0%it)5~pM9O-sGkGm9TKie@Grab!S`uuhZjHvV|>WYKxeDRZs z`M^V`Xgvql6jKkAggC?LUcNm`qPM1AKcg=mpdd zJ;ORRlD%Un;tg+-ZI@OE(+fv#Gj&f~aC_q_RaMpzMyFEJcwPxBH!C)5zX22->K4AzAGoS<)p+^LthH-$%bK$Ns_3KS6Moi_aaY7nwB?%(%`mcOP|L8p$m~muhvt)mbSlGKpQiHhasQSc11$btFxe?cPPc*A*Bk z+YXmejo@Si2Hs$}BQ~EEp&Xv06@N(i#rq{iMoEK}Opg6M8DY1c#-UIOxFSMxQo*7@ zgj%$U1H7rCXOit)(3csmHP(CMTWQ}9?o(F6aqby6J4PQWFGFonOjoJ{rx5NRR!vNF zIkJ{&eJAj7x+hg(vcNU2_gfZf<-8j{)XYv+&OOy+N*ORYoY}tTOXIF*pOYU7iKiS& z5{p!-sfiMPF*Yg{uj|e`Mu};sL+`j_yRGU7ZZkpR ziwR1M%AW0l;fdWamZ*Va59uzK3rm2k4&F7g@A0TQ^Ff*HkPl2WUDlSG&lg+ox)AnU zdm(94{q};MP8M4dbFPA@HR6rFHeZ|QtmYn(m>oh<)x{1Bm%j_FD9cFzC*U@=k8i>xmaQ8L z=sKvply0)GP({+^xIEy@Nh(TExigPu4Kz(Go}yKoG)_=)^Zf8twLGU>xFvwy;M{J) zTZ%8a%`5e`=E?D5QCoITwY~7=x4Lxqymx5n3mrYWWs#WUpY6P!#ZH}lemE|qk1Zip zRQ7dio%QRCn^JUb4(}FS@78O0RX!QgFq`1>NJjw(_Dr z$G}XvTZJ^LNI&V1o@P;oTcoE>FD&soKC7&*cbr%jk(xM{WJXn{#b{(e;&8m!RNll} zl2+|1t;qM-(f6zEtD^MWK4~tK^&Qd9#}4-8wbCjX6u7MI!9OoSH+3I)$AI^~6ryXu zc!s}CFR*#qYk>Qsob;#Hnq{u;j#LFSF5OhhX56}1Jc!8Y^3%X&vg$BmCR=`)ni`(`;w zyhKa+eS0m3WwhA$QaUL60nH)zDxZpW>#LqEItQKYklC#P(w1inYEAHHD!WSW}yhTRgcvNlh|GFs`I)7yJF1=m;ZCJw&gwmjND(=HuBnXj+R=%0Ga zjq)+In5N50#i8(Ldz$h_ZksJ?_+A-4_!KRYCunz8F!z=Topq6PH1)NzaEU9EXH9aG zvQJ0leK>}%Ja}V4vklfLtZH2GT3GdH_KR~12Cvubdd>N1_Y5wL5q7>CJQBpld7egj z*=f(9qfU8^%-)l&*VW~$OoGp^UVCK9Uc6m$U6tCg;YtYiCI3dglg}KkHj4K5=~@-9 zuZ1XdWBET-XI?XznqxObnb6L&N^Di6#<(88{(Rfe$D=k}*ZC=J{iwJ-WVrhyDc-e- zYn@+T;`s7vEuHt};sH#{(dsu8s^?S#Caz^MUZzsdiqsj8ZESroVxX_yTq{G>YMIEQ zV`t^=%q4=e;z_QTOVl*$;Y3XPc~?bGQyx-YFj{k6*NL`||1xFo{$SxT?Kk3y%=fE^ zqwaM*ZXfQPNFtKNE#oL07oFC)PGAGzM)Pz82Ih`rhP~$b$RP>+)JOTANZnRbV;7o9 z^?1uxuj&T@{*>j$ChZC>xWN_6qXe}ZRf#C6!%wF~3kQxdR!s4&aOcfydIS>PR4?*` zb~`hHk7}Shzo0q9m&Lk3BIFX%Q>Mj^?V+2_bT#*}lTpvch5Asf$BLQn5fR5_N-pP! zq!{+{Q)Z~R^m6A(c|6y;HGtKH-3(nh?{InC<@!<4BqP6qkRE&{PabMKvNGtZ+Z|7= zoAqJk4D~QSQ-gSIPlfxQHtB8?rT62W#oWkPdCBO@I4zzf(+97Q*0ActmkHeWoY__t zj}U$+lc3-rfn9cw;kQ!)-PzQm{pQ`TwrQI!x7NCJtIB!I-FaMnVxYZA zKjU9s!dzEqKnL7%HeucRIdyt3-O;(6WsL7y|} zdEH)p!OZ(v?ZmB9b~)QSjj0(779}VuD5JQwuF5giZ8`dlHB(xRy7rqICn5L90F|bs zSXJG_#YYFe%u{@}ofkaE9Dku&0d}O|p757)>Es6wxE^~vnqyKgP365A%HY&-YvS5g zlML~wNk(JjxfC|u^ynU27J}Pnxv#2ECzy-}?y4Wjxzjr}GDsg2C45S=cL#5D?s|#i zzCLy)JE@cT8hegJ?|=SKRc5lh>rn3OyUfM=FWN5X4S%T8`;d;@yKVT4VS2UH>O*68 zVTNw_x$8{n+14x%OY77E1M?R{NPtHnk@0@)2AeCSxS0A z^91XW$Pwv)(F2~{^y(KK?2P5uhU0a=wRqWS9J-eB`UdYjsq3R=;L;iVE`QYGOsm_< zL4Cz>b(h=6-rVWhvftGDmSM*{=+g*lpE~nDCOrRRA}T5Z$=0n~g@uKM zgaicz`1$$xczJoaxw*KwI5|0hux|)-$jQmc#l_9d&BMbBgzqPT&Y+foTjYw6K!;E{ zK0bba0RcfFAz|UITSY`fA=$Pm1(^bAbQ05%V>2ASJ%57|Qi3@Zy0 zBRw504K+124J{o56AK%F#<^h}pyA;c1T7E};Dg%A$;~SuEGi}@woOD>fDdrO!a(!w z{o|1i4H3Gfx9e<@+Lj(+iP;5ZRdr36j=qUUFF!7SUH!VUyu9*tb#0x3k_yy*?qG}IJpD=TZ1H1v$jkY_fXC?LSk%|iR-*~5p6pJ|x6_=TV$#LvUQMD=F4 zG0p45cFL2xX&St3LMsPmXC6^)KjjgbQqoIzz%9LzG(6PZ*3#I}*wowv-jS`HgX1#~ z=byZI_i5$p8U-x_Gb8m2Qe_s1q`fnb7v^SXX6GL-%+F4aPs}`8eD(U(i|5Z@e^{Xa z#BO0=;}HaXO-Oj#j-9)9Y~^95UH|m@*|RsRbezK5CBy}oKMz+$Tkc${i*g>e3QW!o z9(1i8ogKmyCk5Ye^2weRF%5;6SC=8O($i8?lGAcaYwGLko3O;59ujGA>d}+O^9%1N z>6x~?BNapiMddV+M#o2biS4cJ_)b#a!0`CY+yaREPo6w|@%Gc#wQuWGTUfXSz!($| z65S>$EGQ%*D#W_fk8GQ#7uln{M}&U1GR$0-7UL~Lw<6pvr_q%i_li?kkdyWaGC3%s zuy0LZ|2fxy;Gn?Z@Tka;fRM!EW>jr)QB7-S2O3G3diCkUtHoz8-z|M!db2RzLm+ey zj7^M^(3SbQ1r-fQOe?OFL?Ys_7z`HIH8TJ5!_ub}N;+16Xsf7*AP2)1X8vu0)VSD? z(&uaf>`QHNXZdE3O?3%!`zfS)7_9=eM^0DcYjcaR!-L4e(!O;rA(0)*$E_T$*j#eB zb=TGL>iy^}L{?%_K?@F5T|-=0S^v7cw!Zvg?$PVz<(Ffvm59vbn7|vR$8;^cVl%VT z65>-bGm>JW6EYAbH5k(PgGUQbpTAwEW`sI72lEzcT4v@ib!P0kHI(dMvKX=|QVTdo z_n+ZO!!tcXM#gA_xzy#KdHU{LKC!#Gw3_r{ZEb~$U38bMqUs_2)8}ok*x5S!MZu!N zqSJCRlQXM2db;`+w{USWQm!mL?JkbKclCn440XMynOFIev`tt-w2!ToqldSbUsxe)|6N(ua>L-@bkQFk5qF-14Do9V+aNg7V|k==9mftZycvA+BzX ziHsp;HuDH?X@(mKg-wLM(Fb!gkG`>kF~}#aazIW>{*Z|k_+NLvzAjc4S6sb=Vv@5; zI$lsyJttP?#JOp5z9Q9TMc8d0D0?I*uN^QVs>ujy0h>ls{f)859=YhnU>dB|&R9yenPwEECKh4w&DD*~UASyhhEE(+%8@%= z(i_pWbzQR$AH1Vup{HR4QAP+vas~B+vXXL#Or3l~BcfvBk_%cVAGF8lFfMdfH_flj z1b4>VqGEbSFSDb9MkY+$=IHHbS8wlow9N77=p8ppQwQJBsMz?VjJ$$^qH0tdwxyxI zp*F{R_i*5D4C_l(TsZY%pSVO=2I}FfsTM>*T_+K)85Z`5V~GB8ETSwYDW`Q}{_PeH z7D_61ZU%Z$B`Hppt@4M?Sr{C@n_2)*0g{L8s`ul^R+su(l+kew91I9V=(6VA%V8HD ztPl%EWJRZsa_+wva4`$MRZCMv)4<9jJUT2iIyo&fudt}7qzIl>P?BQ9ns4yYM))b5 z^R#bLMdzchbj(call6s|Du4Q|XV^s!rY_J++C*oRw)YV`9?}a5voUaOB~4d~BzkK?ckwaATf~}Kp zpjU8C+Dl8elefHYT3X!?3->p9Ys##LCY@wwthQA2O&c=%Wt`DL{aN%Eb|D)m2pH#zKDNM5R^ zZ%SH-PgG7p%(3SQw$ik8FI_NlqC@H}6(SSveVTzAcZjXWYx= zL@aVy&fDsxM42SZrA9Hng)P!BunX>1l^5n%Zk|&2_VrIp^>K*Kjdk;n4RN~{6mtLA zhr4^E8Iev2b$f1g(9zS%T)ge%5gwmf(9qi1+uJ)bH8VjX4Ayn|P$}BFTj^hLFgkSF zK==invc9_fK|>vCza9IepSuk!R4lOz?T}H}e^6zg@*XKUIS#bF6g|_iph!(_7^QD` z8{5dAXVCnW^WVEUHCu$XEpXoYFXaKt^uYYMM7CJ9qBgGY1%=72m@&V`7t+TL=jpK_8A1JA}FfnuRZxt1nQrxGab?l_+ zd9(8tCp7l$a!<@SMcwX?Q&0;$#!tF1}MPbz_RZTjT<*GDxuiMrud)J{n=p9Oh?DmG#}m@B8MAOjKrET61eTJS|Lj#6@>$m9f{0R@SyQmuzkA9In`2x#i*M8x#@}9N-1MR&-QFVk>h-EL)wV z$J4DfD_02gTr6A)rfvZtp&@|*0sj7hAz|U+A;H1^z5#xIes^!*Jtx8XkU~;UT-E-b zqmkidH#fB&BA*21UVE3C^7a$cXT;u<#)NFb~O@$=wpl@>~L1<`yUP%}jL!pL}7J zy?rWD*uRp8@4b3Rguw^#khD}+mCFt{5iS&=0aN_aK7W_=@%3l5gQj57as?n zo6*rR(XsLI@yTgGQWBy=eBG~G8R=N$x#*%3@+t3R*^&tc?sbbxv-l;*hzQc27r+i)X(>NKh04 z?oNGR;Xb#Pn|?j`|5$MUVMQ~0S8xA-km&g2^elK*c6Me)Mn+m{T6#uSW>!uPJU0)X znGzop;^TVF#>(WRv5~&fK`Mqr=C=~_3knKybBhWQ1^Ib7@a$~xo12>hhi9dwq$I{h zMTfarUof>eCBZABdCJP!?!=ihmtq2x513quFG!7viH2nrBJvQWEzOnbkx|x+?_aMo zexMT7xfL8939w|sa|=t#D$2`Ci%W{~fvLRw!h)jW!lJU$0(eF;EHcF3>(({LE0^u< z+(X>-j=H9oSJgMxR#sG1Rg{;OloS;f6cmD2adANb0-lwgn2;3i?&^5{&Sm4%7ac4O zE$s|1x!A=P1em!8geApArx#aNSJyYyl_PTNo6@6#ELBv_TN-;sMJJ_a<>VEWR@Brr zk)^)2x}vh8th~IUysW&esH31eD;Ct`hJ$K)LkhBum8CygYCb``j!?nwiSzQZN*?v$mYg|y4pG*^#A!&rMk+J;(T~^eo+Q2 zJRk&7P*Ip$QdyZ39vGQaTwI2OJNSmd@`|f!Td-Y2?MO^Ra|^l)UzQ#p8ILHftgER; zwqbDuLMNdE5(2)xtrd$#p;0YJB(kLi{5AqRmF2}ng?aFt-29TF^7>{x37-~J)=+{X zc6D|TP|X-L8Z@IB3B8)?AW94KE0C4B@XXxS_KsFeE0%yvjm<(3yR$1weZw-#>Z|IT zaKx@Ld<_=g){ZCjcQn`LCKfcH37E!?PC^f+0$2 z?;q^%>+K@-KtDa*U7ejo@CyWxhR5Suv27SE7TpTG-QGd$25Y3={^7xq{sBxOZj{v3 zif(Je;qf>E5#NCaO+X`C8k<@=#)j~CB57`ZYIx%Ds~1x}-GdX;=zIR<#fY-zHY}mL zx4&m_paa+0+0_kRq`vMpG`_2=2Z!tenuoye&`>`>*5BLL3qbYs^!AauySqun4)AKnnn{wpP%wI>&|xJyQ?HhI;|+ z;QxE$yT+f))cN@r*Vne-K#NIzgTsRZJvahnjzl8i+HtK!V#h#tGhuje7y>gqGCDdm zJOU1fhX)4-`uqC&`=F8lKLPv_I>>wx37uV?-93E+J)J}n3DedNPj4kQl-G4YPA7Gd zx`E?~1aLey-rYGo4)k`^6jY$l4Goy?f!6$D!az3x*WLx%+dD8Y(1Y*j?k0BkbfTLu z7(BkJnl#kaI}AXKjE_%@j!le>4v&D-k>Mc#2>7tCr<(-zEQlr0L0a3fpz(M@M?1cQ z&`s#-?H#T4jYHMLGfV0l+DN^9z?lFM@H*gow7+|BXmo6R3{z2uZf&e7E^KM8C5@4A zc))vCH_+bGKM0rxHoDsC8!#=Hnyk9+zTSb+VXz(@n|UxZIX*cF>W_{Bf(8JhzCJ*9 zC-4HqPJ3H>D~JXtG#E^+ZMgP!9FBk^5wc*V$l4OHDl4xC@W2YZ7j#5`2lUCoff0!4 z@y?n$Oe?A>C%G&mXLPc&6L`G`l1wLSpqm>~q7kt4!9hIe15g2|+kn2>)6)kvqrDc@iEnPh)e#4B%UU zs=u!t+13L#FS%VprLh**1fZds(aj*rgYW^&fB^&|1`gNJ2BKAeXH`)}Nm*%ja!SMC z(C|PnsS7XytOFQ;P~bSoxx{u-Pv0o$B_oql(?h+OQsnT|#OV0s^z`I3*tY_h#sDNR z^2kFC&_o2|0*q|Xg_@h|z>ZW>hqw}4XF7R=fmiij- zw63Z_wh=({iFh0a_!imJP*dH|h;Ge}&d$qDPtVP*zzqy_;y_dY{)9Y5{tHL~VPOEo zo5`u!2U8Cx2dAb-#wJIG$H&J3pz*1x>DlR-sd2D120AwwZ9{_qIn-)G2d)i`Y^sU)m2qimDCd}(#onzN-L`> znux=FO)Wh=o#Z$L;x1U+^@1J-1>(NJk#XRv2ag}jJbp4a3gRIMh@)d8Lu2EU6XVm9 zWH2M6gTP?}pkITY*i9sYheu0OeNAO)QGP*QUJ;_I%5ADApa;b3mg@3?qS9tkcPAK& z7$g!r?`vyos>&-0@;isHxbF7G8f5p-$QY&oIRLgLQf{>$q52~SMT8H)T1|_ zzARI$eSAAZ>>cPGAcq|g#72ezFCYwo5ZVuH0aC$eA$CH~Cop5FtFA6C$%E&oXXj>> z*ClLS2xuRl?<_CQM-(>o0R8xO5U83O0i4R};^M-z#)*OciP4Uxb}0B)!&`gsot@xm z2ObaLIYfTKw1LNV8@})HXBr0jEnrWVg5p(wPcMKB#WLVffNT&1pngCKfC7d~Hvv2? z2<`ZGEV>2VP+J4Mm6M;Ao|c?}K!@kcq8}^_wp3@QAdn;i0ayS}`sS9p`r3+0Fi}Y@ z=^UDx8SWvCO!V{()|V5y+dFW0(8t=r)CLF`nviQ7n+8_t=)vys=Vx!fQhb@|#^Lbb zLEVlAvmt1-g1HBz8@zXdM=GuZj{~C%Om$j7->oStE6mSH&xlFNh$xQj&>ea5V6eF~ zBfADiYzNK7q1#$pkPQuW<>e(sh>ZMt-1Op5O;zUrvAeIM70j`qDGiu1fLT*hQ*$He zX5}TtWfgrCbX1gI-#r0N`}}r>(A10t(=ZTzo54c?nqxta1{9c0VX;2k4vwgjH4^TR#zS9g|%Qp z4Bl#Mz@Iv>GY8ddXliV30&n&8wKdfhr6t8cLt08AEF?O`P`Ua2+)R5WyuJ=Ml+??!WSXyNVIwb{(M`KY@z;+leLYQa=gH2}DI`G~xHU=CCR zrLuuTW5FUIHZdhFw~#EkzF zbK$8eDGBij3CStRiBOG%#3ZsL#>c_HsugICiI0m*h>MMbfki0L5*^|f9^{r>U)#`B zT2z>om64R36c0)#fCA7$H_p%72W%Awg+;@FTCm^+3*eaWuu!l$@9*d9>+1tve&E2z z+tdAy+wGe-Zrr@-a>LQy**_*WA~F^%Xu^U+BSOK(Yh)O-I}jNe5g7^92YU+s(2sv0 zP!$jm7!(u`6dD*1c>jKwpC_WLwW1K73HohZbW}Lle+UW+3iR{y_x16&IA?YqY(TpC z`1|_>1o(N~y?xWk&gQa%gWW}IOA9m8a~2mYt*kFzyl7@EX>W%o12^iSM6_m z+`V)Awr7B!J6O&8db;1c=Lt3zz^|u=>#bWZH?Cj1=6KEN#`WtrZ#rMU?RLlYmb<&- zO)qP+BurguWLP9DCM?L`+r#a;lhYO3%NNgIurRZb*)1opuutRg2@^Bp6S_x_=%^?u z?2(aGRz0Y?Us+Lk-~IzCs%jdV+J}xDJ$6i2@95#9M-S=f=o~wKRO{&33+GMFp0_xu zt#9REZ*$Sc-u}u}2YY)vYb${K!g(`OVnMZ_g`?%K6`kF2bmyd3zI-?x9CiuMs5O&whgNfBj(le&5aCr%j} zo;r2vIAd={-LpniHWHZVmpzDX>7)TK##1gu5HBhOfS56^YQc7 zbt*b$a`qJDDg^`u1%d&vcS*_Yk>9Jik99%F_KuON+Fq$$JGf}q-_DNpw>N{B)zDa9S<&cz z$JNsxY*vBYB!5rups=vufPkQo;E?c$p!=?FKH&*z@Y4F`7EBwS*wa5e{rK7IFBDXi z)F5|B$IQ;nFDMAIu~2491Z3J|WMy{l5El^yiDZx^g%aLe9IVVBmCFIrsN6h&X93~u zTPf$+Gx<7O<^XQ&}3s~{)2Lt53$CpGS8$Yg9DUR5bKV zY#iJ?TCzkB`a!_t#pbZuUgtLa|u<*`OYPI`Dq zT6Il!R8UZe>>JD?k0?9quCpHCU-}L|ec099&55xGEWElE>{<|Tt;o7EuoIOMAK~X>Z+97Nb2@qkM}cq} zmzrNuQ&ZOhHfX?X0M`Mg>-Fg&H&4s3Qhy%Ii|{>$MKs(^b}`Le;*wB3I#)wH`C;g; zYLYC=JEb!q`Q{v)S&9g^(oi~h+9eDYde=9X(3NAY;*i(-e4U;HWc0U6O7GmZRak(F zgBNt2?OIoZqGDp>;$uPseBEtNsL5|#Z!2t`{zyU3ze{ny_L-~qeSN&V{lnvuQ!~N# zQ9&L&CB#-ul%^x}+$ou|60yb@)|K&^I^Ezn4b_Oy5*sZ}8>ADJV=8ftiE4J7LRgBu zc{G3BcPp&2dHm!1hO^JVe4{{wa1bb8k!G2NI9LvZRJXNM*How5%gSEx^$*A%XB1b| zIc>^#y$ zIm9zRq?p_SACNQ`j5XY%Ezz*gHqT*oX^n}ClZ9Pqm$Vpdd4t7AiG7-vQ+mFvkA^Om z)b^f@&&x_osq7wZ43H5ri7!H=WmnebfUl>HEn+RUwn}O36?k1?EmeOkDkH{0iEgC6 zDD}o8T_49-{%fZrqFMH89W}X^P}QrqauWNH&WHS5vWk)*FRziTil_2kTsjo zE}hSj@sfoixzQ~33RXh?t>#I(!{x+sScV;Jm8pL#Ou&*hGWqa%gy!VF-BlVR9j|n6 zIG&J;0qRix3(TR=|31ABB7I3QiB)D6OxrtLtTq-5kw}*n2n@>n&n+Pv6^%@wm z49pxtlDl{Df5n6wDeTuEb!R=>_hDJ1~mnKF;Sg+t=gNb1EVIQYuW|#w{>D5Am97kIqR$ zT~%oj0RhpSa(fS`9Xf7oa$+CXK!DV?n>g0}#uqPHoHaDiJFLD>QTgD})8v(cdt9x zUv;_X9}*b@W>O#@5D6Y6zFr=8Zr`|e`QnB17S=X)7flcCq;4`V(GD#NdTFQ~=%c7K zcs;*9@4UF)@~Jq?6KWO?HoE1xo;KXj8wO!%MFk1=7v=U;Hi}zlG6*XExwSQ^#wqSn zYVjv_q`%v7{Hm9~pXV(wfw}7w6d9kIm5a#FN94k@z~+BSN@{v$4x+fc3QX5)s>%v; zp%g$wNPw@$t!p;t&z#ghc34YQemlofTex)Ok%R>r>R0UvrkrS}cUMH3clkBG=T$Pe zc+(qfAs3*gDf#vsK4*8${+zb>w^|E)>*>^}9S2S#m+2`-<3%i=OlC_&^fSwyw0HOQ z^SSTm>jN?~VD1(X4NCwi=^R8+c}*j#o!B!tIsxrj4EA(j8Y&91l3@|S{yrYAHyp3n zT3eVH>S`)U@@;vFO?42*?F`!yTG=@|19o1(dVX?hYP=7bd8x}gl;%_{<_(+V!Q-Zu z7fkh4wlh7d4%DQs4ZI#yFu}0%=;eTf;@0U^HZkR6=j?BLg0Sx&;OFCY&)wbK!_&t< zC^RxQF)b?(EE{U;8^K0WBbeQnu%8mQzERen-v9w{6!RMP(%g*`3??SZS9RC;PzO3bB9s z#Tq@g=|h8`2$;hEPYKw6_(%R>;NNDT^_TK*>-jHK z{Eh@{*Zd0AZ%+S$HK@);vG2A2LZu&yY}Nu`evsb)`JD^DGP42V7v+A2_4|-E3jgxn zcLe|p=DU0c_B$Yced(7>{QB+>=f95#?4FV3``wK*$UX+6p{c0>(s}<5O@Dyn7q@;7 z)Q@<6fTO9YrKJhrkT3lWg8nL$&2qm*^c~L+hB1H{Eg`xUuKfbf4>~bw8=U?M4dk*7o;1m$ zf{aHUdLtX$)CP`!2?^ZOK%;&QC{w5|2dAIECPZccFAZq`TUn?Hg5d7e*s~FWGoPr|A?ah8lLZH{u6RQ z-TxY%{}9JN)&F7O9|r!{7}(g|_Z z1|$u2)aDiFGWhf|I0tt&8}M5mf42Pn-ljTm`unH=5GZ8^X-7hYK#4POzA5Bn6IsxZ z-Jb;F@we80xU!KK0$L7!FGmKVjzod)o}tmmU)TQ5iYD?0lMo0%3WNwc{0S8}{%&5K zTzs=}n&6DQ+fUvPC(Fk1kH}Hz7Ii@DMgyTDfOvJN6M!R#e5i+jhNuH3fPbK51jvwT zkPCuZ;Jt0VDX547q6=^3%cQIr-0~ zOQ2*wq!Vfz=qThH)ENHz0l? zRyJA!n9w9ACO1-O-;>_IYvXTRgj$NyfHHZI>dk?xp}Jvzg9zx(cQ$|ei$OwoKs_=X zGRVJS^u|} z_<#V#N3i0|;FV6Py?4#r3<+|0pW{|I#x)$aUMpC(a>uo|(|6 zB5^id;5$+Vu#DLfJh>w-l^?>9jMr((U2ONf&-h9B_-^7gRVo3oZ2y zW+nuL(=na7*$w!W`#NndusCCVtIy8`n20xw= z9(sNLlzf1ESollI`WD6xM3_W!+z0Ab2Xsaop~8;qDVvyUb7;$rhaQ+|R|qx~ezMq~G0|<% zLCU!jQm9EgLvMBL!HD6s^pOnlzZ@3?Cn%da`38#bQIM7B@9&0UDLB0^R~dk}ER9x4 zqyx$!(vw}q_RWKe+;H)I;YiMvlm#*vUJ=G!&2(AnX%~>1j zjZ@Z=LRZ@yb*xmt<_&}ZIY7q0m>6<=o>txYGtJxC0EC$x=>=sFDlavPNhZ^%S?bdI zmo8;2>GW-rJ9$pt%h>)xtWbl{{x2tVFRuY~=LhN~l90F$lDe3 z7p}R-iH~D^li`1fMJ~X!_DdDuw@?vq4WAjF=?&8#A?hY5q?a3mxraq8Js!N)EZ1hs-O>NG*J zB-%LZqOb^nmLM8j-aS$|QRte@w6f3sP{H1lS>-tpb@WIbCD*|wX~P?f5vL_5K9k#{ z&+ocurVPc_nw)6d=%!sKE*$i_(J>#ZI_pt3)4OGIV#)kPtpxEY8?OrnJxc>3hJKO69`RpSbzfqI5w4$!vqXYB&R- zF4>bBx9b@j)^#X1tej+GD&y(O4D4dk%j%2CJ04e!KDLBXdP_Nw9c>!!_^spR?|mqd z-jq+F`RQSdy|q@EO((d_Y0t4c zxo$Mq&QVauC}bukC!}IKEUCp{DTWHO32#MGHQjdc%W+w?i5%ip8-`1&o+6~xYwN?i z?97@TyJ68rym1mKs2D~whl5?ZgI3#?)Lq{oY?eb;jADw3&{_$Le}8~0*u1E85^kqI zQLrKf2qvonJ!tyFYMc@-$^D*iLPX#c8x3Wn_dS`Tb0CzDBGU6%n`zDu*!a4(D2~77B;$sFI z+;gsHmjDr?$o_jzes`ynj>g^MQJ=1>w61J_j$Y)b7Y*$L%%!npn`M(zJA5hQ{9!i~ z#9o`ZMn8KtwIL<1WYDDs=#6%zB$e$>@Z`OQ-bwvd`w-_f9AnH@Q(;@@nwVsPrL$F| zMuyVBr^d(Mkrj8yX?qXL>;L$LczAV?L3ybeY$6Q;O0NrTFn?s;t-AzFZKEy{56|z(b+w9HnXmYb`^R<6+y6VNvv*#o;Xm$gH zbjslobc}c{X1~VKg0DtKOdYo!*D@tGn6xDt7-I*%4y5-?SM71qH{e5s>vUNiryM>?-(8N$XBD{ z8bptJ+5{&x9z{}D(+P{r+w}N8`jTF7Gh{~lbdAK~MT_lx0y6E*DeWCt*s6tRZDf8Q zM3{RSpPbkXsvd?^K4i@^NiCE0DhF#UD4;Hvo?zI%GL$Km$q*_P4L0S-3BJf|cG12n z!WnhgZWj83D#I%0bAn)A&Sa9&EJEETr2jB*jbT)L@*Q$0%LG~bs`o+`($>{=t-bTC zLTz0y)J^M|Rw&j5hi+7oVj`8PS>8OF^;%+7%+tb7KiW&tv9J@-d;lnR*qhu|e0Jr~ z?pI0r1s2m}GjdX7r6$h5P=t^^lvF=`LKuXib>hZS6-eC|dN10nGRBz4${;e5+tWEl z?19yON#PmnlH3N#Tk+ncsckJi_!QR*V5sZ9OeGevC^5l)8Qj=Jw>bnGTR?S%^vqFq zw+v2@MON4wkkxdS_}|9o{#@=WeUT0&Wz3u#N(~u&jv9)ll8lFKAkBO&=WJc%?R4w! zj4k*G6Urh~{q1S0&%+0z_7twPi~$Y|XN2NXTMt&T$U2Jbsd>j34%r0f#w8b*_Rb4^ z)y2fQ$6F*gOKi}d|;g$cZrE_&>~ z5u0l;bs1Y9DFpAZ4L=z1YN&2|$WpfD@vN-TKaenr&H>jl9!#f8&@Hm?a)xKYA^4b! zs>1bA*e2LzPDPKGqc|YH!C><`&~2z@0Wk59`RdvlU?XR&NhkmmD5I>%bO<>a{!!(_5F~6{f1X&FqEJbRb5Tq8JnN zvXxV)fo>#5DXA(siEG8~J#mHfOpf=?T1V5Qase^5l&y;c-UH$cZN`ofKF8G<50+w@ zmUmCy+zk-(Y%nNLP#v9Gs_vdXsKhL3)c)tY#=yH74R zuYYQq9v>ty-mZH>Hz7S~ciM@5QVOUUw7>aw!I$5SdSgQS9)_WDHHio0%mAO;`WIDW zS;d}!(5w_i`?a!s`U=s?Oqlq>TJeS&u4PnME0iiQsstO4V*>ekN2m)X4EHB?c}{N+ z9gA>`==NF`;Uj{}?L#F<-O5|-{7078;yU*YRSOlt7|RD5MnUG<4BHJA1?nX2n7d=1 zTahE#Gji4`;<-f`(|8&xakX}lNPKc?*~R#U*d2S9W`-v&drfDa2#KEPP%!%j^;M2? z$3LW)>}uj<;{B2CO_TC7DNgw!TkWSwXX8yH1+XMo>lLNnl^?w;^=V*Ryi8Z>bD&7d zgtm4%jWw#0$aX=;)Tx*ocv~WvjTOpS$(VogFIRVPH(!L;4-PCkpF7yfi0oY!g}ZbV+K zazKy@y`ZayuGbZbrsgLRS4dZep7`@rA0~+>NC%$b>nwV0=r9gGEgzte_ znt2Oedb=K|`{su`%iG;e<2~K-eK5jHAxWtWc+!^BqCQ;jJyN5v8~3EUH!6_0Mn@rj zK6<5IVoKf-k_Bp>0xdUEak}*HW$fQZo9%~{#i%ZCjRvRJ*~F(&nX1A)IGw%C)1d{b zY9zcx0L7D8cBL&=@*ep`3#Rk68=nDIukr%s#|@p?1w{ci?Tb`8FlkL0vy|$sa>7F3 z)MPbQ*3XQLO38n{WK%v1B$$|cm2%-hpA;E#h|#MY>nd|_6Kzmt36eZxY#HI26nj$M zi?SVJY%vK0*KC`xyDXDYY2Q2!2Zs;9uX~Q0+$b*U<$sVBGckouY)WTJMihdR$ph}5v zhLIuDSLX^(RYq_X@S>n;?C;2KMoG<7N9W`;N1&x5SyNo<`81QB6$&AsCqlL4CPQc2 zWoS$@cz?4B7of;wR>PN>@JNW$s)r&&d6^9F5fP+%sC#cC5yV#6p1{1tnR@1Bk%wD6 ztV`c`S`DO@YB8&_sGk3*<46<6BE`PO-wZ#B4_OfuQ@%C=?F}6HG@Lq#idq=S0%W(! zI|Oe8O}&b>p3VIpz!E)bYZ>)qBfjovxFBzKR+fZ`(Voby$DIVlQ`Wrp$)HO)O=Nc-ObEpzDt+s=+`E(ks8aMP}D z&(D<&Ze%JdCul;zW94BI*4!6xHqM;V%cUXHl^^3U%6?hpF zv~8oZa=bfibAaqJz0IIBRoqJAHQlL(McO))YEe0I?2Imrgxt|kA7|#r*&#kDm@b0m zy|{$6YtU)B^tO*0g(dW6Obtx`+S5w^Kopx#DHMnT`lRShcr;HGH&VV{~q237(+o-RMn^#1EH})pq zB+8?sSi0;wg_o07+D36;MH7$XmvpEa_Jz6#1&!;AD!W434xfob`!Dq$YY%aWAck-F zbTgL#xu@ZFBKcbnZ3=t}?ddp;D8fK@*%s(&)Ic#_>3FW489{4>a=xr6lg(Cfvahl~ zoU$V&Q*9rO?cB65z6+kF4%XtvWjdjArUW!X&kj6!C?eW3++iG8T~XD|Y>i#X(cDSWhE9uCZU}-XT{B z3d!}(HoCMME$_kF?H2NEE3a*gd=KkC;odOh+p7WvG%Rz3Gg_og8)YdUTt5~O!QN>`GW2z!@c z+oaKcN8Dy7qKst@uKAqG&l)LL5SkFScn{&zX!E~sq`6?{SP$r*)K%-Uo>FV`F>WL! zaj%MLTnna`(CrY)DsV$1H>b%K5iRrl6rw`Tmv!ReezN|3sq;9NKJLi#X;B4w`sKk4 zd)VnM+m^3uD64SrUc^MQb*oBTcY)7y#No=~QTk&yfNzLH5OE`#5=Oz;O|Ycs9XP}K z&pkLR`K6gDXh|$pBu4Giw^doMmC^)?0m4ZNXbJLp{C3J3B5M^Bnohi)4KTcmfC2`> zZ%tbZZYt79n^cm9g{{OTKsyWLk~q#A_5x33D>}pi8W-1AQjRChbn5PI^QCoZdJ&b$ z*!?1MbelTRBMT3OmI*g-p$cxHBbLGB?V}q;c*Wi$5onydbD6oYPSbN#B30!0Q%93B zR2IZFF03cP{>agYJU1VbqFt%%(8UcB^NdLJ6i60pZk9Xtd%V_3#->g6rrI>wuc<*m zsO1A3yXpVLd&*pg^2@v{X%L;=ALr2}s-&QX`&A;Ylw`0fV`Jf=@ooO1T~xF@;`!W; z&J@fgWu5K^Q{2+&D{Ksa&9KfqSX=qn)B(CqXWp5dymut0p&Nv+~rnW8m}7^e`VKI;EeBqnSdY&dW#2_s_>*nI+`;qj|f& z6T+!U$?5vLZWa;eZP|LvuAONLC+n0=PFIQ>@!9U{r$-Sc!5rRsVVmMoZWp7f%R_2P zLbSEXT&Lk188A~)Nt?rL@)NPM9BZO-BRLu@)_Ibf(8-a}D6pAZ5Jh3=8FuPb+3GIq zV#jq8QqBBDd%PNA2OumrYw=$pH7<PAh*4HqVg0SsHs-PvcLeTwD^8waz%khU_{jX}6@&jz-G+^#RK>{KI=lfKl$G zu^s_{XDwsOdUInYgin4Wl8iW57)gr0v^2n_>!$CrIvSR8L%2?hl(t*$bOjAabMcz9 z(EANGq_=Pjhjb`{j^@~*#BG{k#_T3c3$W=(E|AnEA?YE)W@S=4?j<0R>8wO|Vw~GE zqUWN)wb+*2;_A*<(UIvkX3J7M6P#k4IM-{B4_Ha!7eCW`2G}08h3m28SPpbrQQXjM zdetmvhld*?;mX@!tuDZ^~ z2BU|qYFnzN;Go`S#;A6+HqMqZ!?{f=Ux{Kyv(Y|^YJWB6Oj5FNX{9)wl=E2z((2qI zIwhk;$<0b-z9HSVNC{Pa5T|aYmC-pH&;7(Me@9^QqDskl#a)1thT>i08qL|_%GAN3 zJzqQ!h)Jrf-SI)gUVbb4JBVl-cFfkF`k9RXHQ*CweGS43O^OV=V zeB$05?iod7HHzl5OD1S|wQ=w)_B0pXJF5X$!~I0*sq{II3fYaq(PvF@NR|gof@ciD z@1Eos>POl>z3;ud!KS=)vM5p^3qFq81V}mFoYLY;5sN#4V?%bEf zoE%Y})VY9_q4L0_j|EI!brpKmsFdbRbKi%$da!}p9}Me~Sp=@?91mMAhN)rd+R=j# z(F5S4%IT0}lUOIWLRM=xF6#XKMDFp5R4OT%I2TnfGtcr%m#xC18%$tgN^BOd-}z8! zzcNdD=%ZC^uarZrunlE(^9UWPf36r0(5h-Zp+|%XWD*QSNQa}B>jc!C?@s@AnhT>w z(`t%Y3#kpH3<4zmZAJC>0MRl8KjK0$1N#JRpw43RDS$COK*)Kl{JbJpvTRviG1m2p z*qUKU<5#5=4;N$Dl`E_g+)!)^IaBYmThHUuOW~>7w~b3AC1vtIW>Cl)B-PiN3olgO zUYfxekuRvAwD>dArref^HcO!h`!2Jxct`QU>3qz6ieWFvPt%)keh$iD;K-wcpBhoo zSy*7%D*O_Yzrkj*qH>|HW7p%cQh($g!`Sw(S(Fwr?bw?-2iE9Ll*GbHuFm)f%4>4^Of zOW>%dKH#E_7!6qWhjhf@4TQKvsZHFv&B|92Di?x<8kc|Hrz9%#L^Bt-= z<;Us=sD;ZKuuw{!>}t=6)jA=`$G#yOQq8A#u^bsOLvPPwVeHOl;R^(1nN34(A`UTyQh z)kVRq7Zx_j>Dm!!Jh54TRW|Y~jAl0II8P30!Ed(4Kn8__q(A3bk-=t{mdO%nI21@C z`s_Nxed$TP|2w!%2N0JS2QyxJ|qW^Kp zhx(yhBcpA^RmW2Gs7cq<9p{|P{2(8~yr}S$zNCVZuvzJT_B`jCCYCd5o$^c84&TXo zhPKbnE!xyn-Eef3nxv92LZ$$su0G;yTDiF5%2ZE(X}SK=m3*yIJN)e5Qgs!Vk21mn zpgCYzR7i(@0(qo?t7TX%h)PakZeS#>f`)^)zKua(lP=%x(D`PUwa<7K-WqFQgd_&F zTH;i;^#)9qrATy2ubv>;mgxfrKzqLmRvRu1|thd>nE{iWk0#5tk+o zo7!N@h@g6M&G@JMYUVL7@yTSDMUpC3m&=(t5-Uw8quK1=>eH{LW1pnMW7xykn3qH} z`x|DC6T~UC93?k|Nf&13#f3L>Z9H?ihLwmj1|$>P7sD29B+2ZtCt8~MLe~a|4(nAK zg6S}ikrh40LC0ZxDQymt6-LV@6$IM8Dq!=p?|x`0&8KqN zQ?g7-?wA6X!LMp_&Z$asHCja>apoLMl+9)b>DgND&g9)NgID*=$vUgW%~=jN7d9Q> z!FN6oTZVj}Q8`&}Rra2;d?qEOY|ha(u^!o`H{&~oCz?$6W9Nm|5)${;X+gOyWV!o> z>|&i$C8D%tMa-1)sB6xaCu>q{16v1`-?~K~7wuqR_0}x!QdU+RTToiIA@6K#V!ph1 z4+PX-@Ylxpuw!qzC3ZFw)qG$dO?I!5+-PV|md~+6H{+UsEE#f3l0s9kOezy|#-a&D z$#eHyC`=Kr#Z}`dmbtG%f~@Toxyy3=uWGq{p#Z-J57E@@ z7by@!>RTLxioCkiBJQlN9G08{bJOTtW_aBiZ{nyX*v_42dS}vgBN&PUWcL+i%&cXO zNzbEZ)#6=h7DTIJE=@OY?1NbFW}Lxngj^!m-Q6Cu#K8d#YG0|ROGCXt`NDBh8I3~2 zS=5yQg)H70aUoPwDz zl$5ZcR#301qE+3Kb(}lw#fr`JVk?p7!39jSV(dM;=1AlW1$qIw8-?%fqQEPt(Icm^ z6lx@Sx!%hgh|3U1 zyqHd#O(9%JAXIqCND}fprl=;B*4*8hw(x)4$P!uvd-v?hkYXM(Y;)dYo*J2e=Nwa_ z53imY-7bK|rQvdOufm#h^E}2+i%EPIa;oagl#ZEM)`BR`6Ly(%c`VaMw9q|M!`1OB zk}9XI$}l$Xg31`^T1P?g+A}p@XxzHHGC;qwcSL>aAX~w5rc*je>mivcEs3F6fzUda zV_3Ih<>+Ra1B=gP2SoYoL(e#OiNME!fkW7%kw+*H&xIN~ zzD@D^izA*PNMv$w@-hsQ%fK+=EaF&#kGR+eZ*rLan?S0JC`}TwW}4G$j`D{o-jRz& zCOQ3}<}P|k>s*F+t|$6xZVDk730O_=5s z-QRD9a3m?oM>(2)t#`b2QX-`G|8t6IPNHxk{SFsKG{Sg zKYw*n%OhWsuAH40x6Fhd1>Tl-$?=TuRe4r7Uc&=U<~mbVyqRDI0X^KN^%kG?Pg`Je zDxPPC7FqC{;L`JB{y|;!!}Wf%gy#fYW<%f=k075bPj(H0NDU|NqAf)NBXeu}lU)I! zvH(eXRamR3YFUspTkWnEu>!|lI2ldsJu z^=G*36<8kj1VSBw^$f$U{;VY4w0BP?M@YHUt-#={67*S`(eU`F9Xo`p^)IrbJ>or@ z%>%p-qan@hH>p-%6QTCl&^%kY57H8o@F}qytx4j-bx+EJxMh|QB{55>d88vFCC6gM zlD8>Xt(; zM2O(5I{ZEA%71RfvG7kOE+gR?DuZL6y z8$mwRV-}WO?d0Vk{DIbeLl{$_591i63?fY_E8#A!GWO18Fu9~o$FDSIS1E?qsJ(!@ zj>uC`($=h9wJ2`qF!yWul>N$`>AeUWrhIZ`AiG_Ur%?1(J)U%J+PAg< z-mc{oVg;_!C(CZ(%{wx!MgbiTYD=2H+o%7}wDkW>5EQ>Dm z^liz)zdwtJko}lIn~~MpP*fUSR$I}HB)dqnQJntRx&4Qf7pkuRJ}5dNKRzYg*-VO) zxZGC|;%4+lNnHmPfd2c4$D#W2ZPU+T|GMs4j%y9e6Z>v04#*DrP^zb{iUTavx1sR13a{jR6+?jv^V1vlMsxn|`Jw*=!h zMt)GWjWv2xCFLKB0pVI`_uGH6R4y`QH>2o2F$H`F3dk}}Bgm`^2F?INMw$Pn>%8@w zc4gZb|0_&l#kg{Z9K^y89}l#}2p(Mm*aR6bGM--1_P$1DWTKJpaX&OV+yow0E8p)3 zsQ&cl2IzFLE-hm84Iltg`2@(1ss6vC{>!>c1z9lk7km{P(Toa75<_6V4#-eX zj8;DUtM=8aNiL=sRmOgXq241s!dmE_1qI`$*0+`&ra!#v;&&?|;(uB6lyUym0h^^S zClk+*YN}Z_x}K4?{i=?*!6^#fQ0! zJz9GRs7ZTzc1hO1A9zS!BWpyy{p9N2L7LdY6nb`lddBn4h$fRCQZ@40LK~`w$=vl_ zZj!Z#mcXY%F-&x-|6@^eH;QR45=q2Nh`)^9u^5W{4){At3?JMpY0(l@HX6-(`krZb zOoQ@dDN>)oKP@qdW%eMEd-ZxP2A9OM`d;=Amrv$Ki(;)aV=ogqZ0dL3$A0lPWSMC1 zfgF2AFI~>~KHN0D?U(U{buoppu5L+nHo<@Yv7TR$TYyf^=K?w}{n$q)H+$aZmg1mJ z@;UT}JAItM494N0a2lqkDe<@72;|3G)-;oE(HE|LP5rfwON{mR+&+7DVnBUug3nJQ zk5((*tBX_N$pcFo`3;wNdjrE#k8hle(4~eEn(!x13#GSa=sCIl07xbKdyd6`PVD_}3;ZhnpVJaP8@s>Sk|ivBPe{oaGLVbN`yGpr zT^z>wJ>mnsfgf#1-fo=wMqG1bA>@9LA>%*xP$=qi(WmcNiXvsx&^1e@Lbq8fmr6ku ztm{`h;3H+7VtqK6aJel2DffKachmyC?#-2 zEKdJ1(y+)rW6JoILHGU{yL7fZQX6v_ahB835Z!gDI0 z=L1{P-lHO`R?UY#^bCQ1be2^+_OBP;($rSB)=T%BmcI7^GIBBPL#L%#4C?y}yrw

    V z#Jku~(hSjY$RZZ*_%nje(%$pUhR<7G_#Mgh@a5b`D=Be#q~T;7CUV%}jF@p3A$OFt zQ+bpLJI-~_W)deva>&SCvTl+k15S>Y0biH}l}m~B0WW5}nuLfvCm&yAtpTb;;mkT~ z3kC&DHl<~>O76p1pUpiM~0S$PSVLJ?(Rx!a7e zh`0@6b5l+m=LA`svefnENgdf~NQ9zEe}X9#|H6__Y?DOGSJBaf!I%WTB#!sXhXh6b{CsD+Ud(-bm;MD8M%Id{(_qcZJ0na4^V zZ2KdzrCl57QS^_NX43J*V>b)QHlJZ-GA&pF@#M@mZmSe>nuyEWbiQJ=NBsd609qh z`W!yOXIgNpnZJCxK5Re|AOwzPOAs3BTyW-#4|8D3l43qAH{)yXQK&EN{B5FG; zP0{j)w%z4dijUusY4u9JQq}?I+>6sxd1rqCAFsqiH^-eR^EkzBBqfni zdNpJzMA`Ie+D{KP4yKXb7CEDD3Kqzj)*0%bS22Tvx(>7X7gteOBn7Qn%xOiL9-lmT zW+SrbvdJVc9;F_>mmMD65F%C2jIZeleK^}d*C9x2;k}QIUFJgtua6W=x`-B$VplQax)1bcIwt46L?b8ZPV+f^ZiyxHFM^kN4l&B_R(SVth#Kz)~c>1{e+^N9N=EAO6% zDUrY#U!lu76{pZ6(pKbyzCqi<-U5DC&Y)NTPXq;L4hK@_U8#I9qr=<-{hX(d^+4)oxc0fO4 z>(ehp7_${-VV}f9^;dl|4hl=9ySsC=sYQ?UYbrB=dn=2QhrSYP%t%e*3RK~tC!>@ou_V3x(E&8z}L9%63qOU zxR$|UoKK5?dFpfq2Ho(#&#m9~SOgKgsrFVur|0@ugk@B?w$;C>l&7IQZp{vy@cTAs z!#0#p$AuHaX4O5eO2&y_2Y=KM-1WN*P3^ePV!LbNc>5FEHIQnW zHK>gmv|N%jb}gqLPxP1A(@tAJP`d<(cyzIy7E*3XB(^bfV4hXXgY^rCibBihh9YSu z&Y#WptI)Nr2|WE(?zY)o)0AQ@%l7F>v^KV*r5Mtwp_&lx-Y`&YwhfulJa}(=_t9or zUbqZuTKr&iqg4_k3yM+71Q>P?*GwXHX;EOxMj)m46U=zA{EaFVAeCk)5(?%iXEO%G zPZ)=bQ)><+)>4UANqT5Gik?n*6nX==ylf=>Qd3HPRXSm9NBU$+lh_V|bj(36Jt zxmyoTdUz9R50B`(ej-9kz*Y&2jP$vu4xP1js%CmKP%Sjx z`sSbw=qC>1_@qh2r5j1NEY|fO8(a>+A~R1#V2>QL<}{1KrH4nZn{7sBJ^$TtPN$r0 zDZy}d2TBaPSGaE7dHS}F^(f)S!skHMEe}?X4uv#xi^F-c?lsa?E-W5Q1ibu8a!C5Y z|BOf6V8GxZm9NqQO~54s9+t3Ta%TAz!;leEgON1yEiZQ1L|U~G7po99jm=pdNwZr* zcVeJjwwB_kpmQCINr?$`dDGgo+{9RwdwmGxL>SigiA^I8L||tPqp4al|>=(`p5@U=miKGd0o!XXmA zRrLT@oWb?#+iMk(W}%3&Vt_@k){Fd^&VC-2xni-w-8@#|u+Ase6&-XWc|1}nWBsDr zw>85+^E@#ehPJl7fqqK5upU30E+F?B0!~U8xGMGsOr`eje;|doHd~DSxPDh=^$0$? z;g5vtHH8XA(JkpAGx0tuPnG}@$wbnn_ld~o5@SjVzx$Y#l3Rp#$y;ykb8rqj41NmO z)7o@gJ$AV0(qB*VuDWLnSAT+m`gNu)@2_{`cOQE&*)q}l8)TKF6?Z*MS&T z%on=nSpvp#9|oE0y)4o&I2axp(z9|x=DiMj0`|DU!s{{PGd?)3a!~zAmAW)v5+0fs z^p$j15Htt}u_U*H>sc21S!Ulw3`fWCf`vidR*y{Q8ixOREBn-G`O`C<9UsxKzn5Gc zzVz&k$wUpkCc8EQg2PO0x`k!_fduDjUp?UWhAfaaWMtHQ&(M8q6riH6`a{8!xXaO6 z)dgnsM$cnZ&rD?dHqdh)XgkMWDZ1Hg7$@_Si3)Spy9*U;gw*ZzF=KXJ@P|tOL4TJj zp@Bkz;B|qdl?D??SV&WkPs?w87dKaMY<$WM*OtHJOyX4KD{J+1&!aHZ07Q*C9^rSY zquEy*al_>fI&a)&xIgxj=a-(j-&PCj3=2GR?p`W~P(Y{xs8-mCR>r7!kt~gFG2fqU zxUKVEn&ciqK2FwBgQ`v&WjM~UXO}8W1F{QTTft&}$TbtI>oUxkpRjEF8tQF{(ROzC zeH%8&5It6IomRWBy~m#C(VQv}@jR$w*fTR%Y9(&KibSioj3Jb~hu+kWpyeo)|M=+` z>gXv>@3~e->FMhUOD*^gCcO<7XI-e!PU$T-_03PH)8kABaihaCf-K+OXqSRW;sZa^t&!Gxx(T7|$;Ygft=&YKB(@IUWjGE%94vtPoUH>(?H+sxFkc?%v08iVZ(vFF7RgEr7XjJR_sNm%lE3 z6Xm{{Pr~c$xQySg>UxDm*h@`qpe~5}+~-jTcr4xf){rK6eYp_2muXAhqAxZmQynQ# zt_cHr#aQ0`6k*^>+Qu{*jbJjcZLOK`y8c8vMxmeH)N$EFg(@47a&U)uvvoyUlJ|&? zhgp(7%=OsMVi^lWQL2~kj#U&devo#q!1AD3bOSi!flijEoC-{H?L47@Wc#{-*J^#%0-rH~NHfKd?*77mWW^*H@HbE)IGR&No9 zR2A=NoOp|P3Pn2$o#JM*V#L7*UVPUB6e0y;8aK&tjlqnrAy*$vxMLOmNbNibj^&XB z`>D_>{eIUKJu-YKX*D`4B)lH`@(nj3w$kx3k#@YO($DNk9cPb-YUpD88atH)fvkjP zNhvjDHm9Wf^8S#_jzS*jr;Y?XS;{u&lyqn~{?UdCuPEs7-XNx};e}DIo(ex0^Q;m!EOnl$G;W8$fg4x1i|o>%*%CWIyY2MC&e56{%MAEjfqVDzyK{Z z07!eCsp>3zR#9b^k*2=P6{fgNNWx!y&boBuPoY4_!0~soET4T3b zCE7j@5x@m;FtffcKb{%bST-a!x})KCgr2u=;Ow2hf6&DGF%OVW`o{}?Vwj68IuL)L z2uJX^O~aMQGSFEwDV7o@`mKa^+llq5&`-+LW}u25_hYSf?B-ISlx0)+s~0LMb~{(I zI@xd-o8q}(U$BL4Ouq;pR)ruP?hjl|g3(JVA08f^HXP8mvBG3|Z?6`&Hnwi2$vn0x zCzV=e(Ne^j##%4Uv+65FGOsDCbg5|0adeSfTGZp>=kNkXULb@SzKWS~+SU56Yt~H5 zJaW%ZuAPUn_#PL~Fj-`!WZS-S(B1+{ZCz~QIu5QwpNR=K2l33p#M|gVE72^2)=S$3 zHZP#4ik|*=iagA8_M{}n^KnBzpbt))FnjQjc}d19%M?O3+qMLsez?yn?+m-#Z2UP# z;8IK&hKy|)u1fiReFe-N6R<3o7)E^RuJIJok5#)GB_@8pJ`k;%U)WEvySm_HZGo*U zxJ-IGw3R|hx>I)ycXo#?iadaqYHF&~8|vIyF&@|sv6XCazvbDj8C6zO@Cz$CBoCBm z3YzgihocR{DP;Z7O7w)2vYGWYIhJ`zz9MTcV8*&;z9jx9L=)08afze-X&as)RwsR_J&h^^pu(m`!6R!2yX2|H(3v;lW{A3gdh z*bxf|XDTu69^@DuKhuf`=jt}hoyiScn;$eRjs=@zmBjpY0yIz$*H37cv`0E|I~A=C ztcaAreKM3H2^7+4aKotteu0R!+K4B3yxuto!HdTeGmw66KgX}2 z(mKgzXVC@-deNgbfzGW2We(3LPT?U|1Upd3TR)=Z+27a!M2xBA8TA~JyJPt|1l(SZ zbU85UMdaa8n>I}-AnYyJ`y4J*H31xO*Y11fk_l5Wp{fHP9aM{aR_iC}tO14TlRmM_ z1gS;^M+DuDySDq*IHE3=fiEQl^x6!odD02Q&9j@69#m=sMN?j?_@v<|pWnl*u$dQs zkQ4X=>yYu^(+^zaCBwDLF9o^BvJV+<&Xx6XRT59?={_Bew6=1dwITwjOt2tT5==q6 zVes_F(pQt)epJZ~a=pR+5r~ByDk{|mnifs?f~V-ba0GS21z(NFO_33~Do>uJO`ZW? z=oo3d!Y5CG8B|j+vZ}@Jc1PC?Z-dF+f$fc6k2wPUx)J+qd^Z?7*xFM;goGPsNM` zGlUR%KzAWrbG>tyBQQAs6gNN8lz>b#W>GIMvTtL_RD`~yC27$buge!j7xVx1f8BsZ zaNZ~w$4cXq`j^?E__;iuxS8a&Sg^3enjvsW5^tg?j@$v}G-w1-v;6j6y5!|W1C?0p zr?FQG^ni_L{mf&j4vtNoB;)*9Fo{O)yun#GtnwwJ2euL35=%k>U_!`j7u^KL5NC*) z29}9Cs2iU9UG8Y?*V1@Ive^~TklJ|IugoGDU=P&(jnZ}Apm(7A!HepH)1diU?wj$i zJ%h~bT>qcp(^MzzdvKIOXn`hPgH)aPbDW)gWn_lZTJJr@Vk}z&1dYwdbU>2LZwGtWurvU_C#Tel4r>C6wCfW?R`;2e!dMN=OE^_s!;u zO$UaxMek>9nM@(Y-u0sB(!gGZ0J%v1!=usTR0syo^?zTjB?P$NPETlho=z7oEw(Y zC!uN zfRRQ%7pec(Cwk~w{v{av$$$qxWi}>SjaEhz2G5LFkw{;Tdh5(SR`o}gjjn{PY^Izq z{?A>MiT|%c3i_+hPEh@OE^;x+|7O4-dT9-7KoUnW$bUY#izN-lA4^U}pL;D6gpCLO zrQhqD({FOK7u02PeA!Gab>#2Y-N$+(0)Xzwr5Pv{!m&dp1{AZL2llM|rGH7`?-)OR zYS3z{-e5Q;4@pa6{wF*^<=l#1H80kkvEJG~Q-o>*TkH=P4f(J0>Z|eaXm4@x8<-@A zlu=qO|N!w3yl42x7W#Fy{Qz4|2I>B#cKP(bb*Z#yE-)p0x@Xwf|!Jx(W4{ApKz{!wwO>DD4 zg@jbXMr{-bgxA2#8x7ibFz5qoe$yvX9FaT8og%-917xUPCbeh+&BAd`!Sx4!o{%$4 z2h~}~2P>VL(zKRpUO3$O{`t70kj0nJ-@!@W5B^P0gW07$_q%%%(agDDZS9EKWk@tn zp>g0w$n;IW&)=|IZFlX|;kx_MN9^ioq>TT`T5^FDAi~+TI~UB1tQ)#cW^^jgA@se7 zzGzAqb_)O$j|m4r5j!`8vFhjZ#M!hmg<@l+C8FpQ9pPpCBEaStWcF6jP}Gd84)j%- zj?9-cf55a+f-GrC5%J!FJVWhRA#C*r2*?@5IQ3jm!Rgs`eG3Djb5dWq;I8PGx-fgZ zi0`~Mjn^5Xjh&g_a^ay>C4hVrUxbd5_~~&GgmRqtvCMMT^(@tfztFY;GxkmHt+x^M zju_RMryDh~pQS3qkzxEStPoSUpzvx9vz2LKqX4(8kE;&;)NgFZlZZU4e;1~R!}oXH zB&t8t1OipLm>l4Jt#AU79CoCfiEoCaHQvHOZY*G3f+ecj8qc9~^%Mq|DKvyrgRB(t z0u=Xl=dR0B-CRx?%zkL$+d}sIaAgl_La(IALsRc7vLH>SOy`sX5v%BD4Kpo*02D(Z zH-l<3jpcDF_56fwOeZq&sAuvYv25#Tixnq%YwM$PEDrKesLYh9e6D`WThnHUrG?Nv zv%OSX6~77k$|9Yelk8(uHn3=zV#gHA>E;?|s@LWdkgZu{V?SWHtIm<^vZY)`aEr0m zuiENYvVXVg41Yo$@U2Z9a(_^I>^}d|(TbK+q3E!+uX`Oa*Qx}M{mgBIC4G1sEFznb zXQO-%2iV5I1S-M)n*Wk`Y;%-BaY8sbC-k2Sy=(I$=nn47_En8-Jc6Yn+6wt*vH`O< z-GBbj{YvufHuk3CrDGrkzTLwFJmyNw6c}vw?A>;+=T#Bjg*!sD7N;gL!lYqE(s>mI z!vBjKO-8eYgE`Wb{Pv5uRc`q+n|+&q?zDv1Y^eZ_kXhqXPOQA&UJ zlo0I!-kMs5-qk*Dv9h=?65u!?orMIAy>#tFK1Sw0J zuT*78=)l7)vf{o0DPBKQuQfomOSx;Cd-TY=O?TRu)QxU%_9)9yElH^Y`!s79=ijc; z?Rg#NzcW_aV*--c1iLc4d44(M`M6wM2+Ek$z!8e+t)!#Qm;>gn3)(eRL5lH^{LWX))2Tu!V{tF#Ne0eruaSIPDuAE-duJ8d;riKBt{$a~uYBav z($(k)JyA;)>c2R{ZN#UY;;Y z9;Evj$pScMq@~i5AgldmsS1cM>|cJgQyRYlO>$?j4(EOj$KF_eu}7l=j)H+0wU1)Fm~z$T4rc2PMf**LVM>qIqj z&$&iHPD|HF+UmzC-KdEJGOe~2Ht7u_f8`Jb{x@wnH6Ot-<}_WdV~>osd0cNNEkK&_ z7}t9LAy*ls45P}oL-ch?nAxb@mvu_}%1j}AIKfoK&t6Pn2JWgCfrHQ<#|qDm2h6^$ z<(7)gVF(+fI00|Gy8frcsTHEvZ843{*tWe)X#8t2@Z>7RBMNFdO7@k$C<+U0UXi$! zX$Ae4sO#^a1YW&i_>(}vf~963e`$VhRUk?KI^1%QK#Z+nTESoHvVF@U*`~Zlw;J~> zK`jTNL%OP-8Ho_tI*h-1E|A>x6Z3L7ydQQ9e|~fP_>pRo3py&2%gVFOS(kxCR-ex9a!DkgVCm}a^5D-Bs zM8ha|*=2+=D&SO%g!ln}rV07FxI5#{QDCFpNS|S|k*+r56GnZcWQ_C}+x4a_@lf|X z%oTOjjetH3&8xp+9=5ztj{Y3kqV_#$5l9dgcrRL3Qn>KxUC@8 z`y0<#$X_6AJAA>9&SSkwqgW|BjoKXW4&W&}m-ayu(NeUGlYWs1`AgdPbGNj@2P~}$ z+boWMqCtMR$xD!O|JC<3$LlA2oR%&ZzzGiBzDJot*d9LgbiY0jM>By|$ad)qVDg7A zk)9lEsN=a&zz_WIw6bOr&I!{!HtRcWw8NKr968h9AG{mcdReJyZ?3$bU3xc5k%o^p zKqz{HO4g(RuRu`0|BU~xjmTzl=Wz8gsI8yqYW5y|yq{&n;I%KxdCHc{ATdx!^xJmrm+h4+U8QDFT3b39~mglqqZZ7=(DKVfT%!1$xJegJ1f!B9(&>;OL zmVjL~Ti>g)<`l~?6UV8>w&Uyhc<=RKkufr4YnRPW2@^3QUa|@Y%8%o0Ou9UD|K+&yJ@(>TMqYqvmtX_0QFM4-uYYC--PgQT7#;zHCz7* zG&D-FgO%3|*50Vt1aimYKv>vE`?P`^$ArQZXLw0wj`My0J?;E;q%o?_?6fR<|5m*? zZjAa-&+V31=p0cQzfhBn!0RQ1Dh5YGHAxW~dqnux`hFcK9d$19y>@UO^EaoXJn@1S zNt#bHlxpIcQCl)1Y&{^SzvOvs;|i(7yolV~pP+w{|mtZ=K+ zYZkAxJI`nqth0D^?>3);e(v27JSV-xE?BVVvSAZ>NVuL(FlpTWegtA|{WzPov3Z-^ zC0O+nUA?GakPQUL$=MnTS)84eOU3>x5PsRjD-KS++L;%)bsFV|Zf1$j`84Lheq2vD z9SHm6;~P^T{jLS2id(ARuQ}w^#>QaM0|NWa-%~*y@{d>2y z{`0R|+hrs_4E@V*Sy>P1aH0R+sc;CW(pYrl@7Q1qltSD(DJR09cNQPFSV0Bu67r$8 z21@#bc&xr@GbC~d#vcklQFRZ${i^#JrE#JW@tfTYyvQ@wamHPGjJU;0XP?#8)`Q2s zRxaDN)$CYImJQeG=Q30n1Y)Oz5N*!NE~-)ar{1z@2&8h*B^2ymM-&iw(UDi&i8V^vQ79 zc|uL7F_7lD&>H1*MUS>)T+k+Q^V8$oP)zK4=)b^-<5=+P9bNAc)PTNt+8~v<)WT^h zUYMM2ZDRd?BNEgFT2Q*N|6xi*Qe>(l;X{)Dcm{f)=S|*rBLV_IgD;_7>h#~QoE)id z1{?}tq+(uG!xmzHL$RSOfv~NXfzB|64+t|o8Hejcn|iVKsQ)*b=JosxtHA8m;jHH3@{Gnza_u~ zNxQlI>%pag4>ioF{bL|q$`8`vvB7nSc8En1Qbv9VrOr*H29)39Hy$b)Y{z$GFLj*F^`H_v3Fq%9);ScsKiY100ZXrdGOk0<_x^-(@hhXWLq@G0 z)dW04jrYp^RRXcSeZqrm=l0Y*26Z?TE!Rsr%BSd7G~d)4 zblYbh=OOoXg78{-Oyi_bMe}^do3AgxC z{`VAdJ#|Ub{ZFc3Jaa>zE#vuF6nrru!~@i8J%`;d?4_P06N+NnOTqf-qr+wqP!gz{~;8pa6~aAGYi8LDE$Yoas(Ym_3rD0FXi13#ki$A`Lwk#PD4c4qK z;!3h{%ahzLq73nV3XfLNGalXlE&~E}x>gAcxd3CZ8iW_c&g6cv&ztRe?$MKfS`)m~ ze7@K{Sfr*BWlMvMq6ZXZ=iwyyPnFEi{Z`J)%<^0#?z&&IU z4Ml3kY?B@~AzJ@$3So-F0;~Y>4lRC*03&~LT?he&@DJN;odxBW`VssAqyIv$MSOqM zG@2jYFJ>NHt=Pz{N;K8GcNi$SV5s~XU7v{Q(47&h#&f7-fpe$ZYS0`hzPDF0n4XGA z#L3{pN8{pioN>m!R{3FifxvXR+K1!gs85#2)QW!;b{#@z<1ShiPs1pv<1{2CY3Unf zJxA#JomOVq$P?yrVMBq|?)u;JC(^L7AiCw_^PEcoQ(a^s_5e?^Kr?6hmO5m=w%c4Z zc@$IGV-1({OjCl?3o0$nmSu`K?WRERXLqWTe=4G`h_)jsO!ajgY}KEmBk%9)_M`uO zwk23fDw3(2;cm=p|2pj}HL6uw=+H$eqCxKgfljy(Sd{lDX&S^K#2IbF-qL9v1Dfp0 zDnGkgr1*55UU3`LrD&RjL7*O>a-PEVRN&0(qbphJ#k$0m|Ad4apX(ouS>h@@Q(m3S z)eQEDt3>x~8pao4cTfk4@XWe7V>m(bEs^h@J$w`%!uk3NPjt|zQdP)Q2EX?SkSa}L zzt3dnZH1&8KO6A(;o&E@TugUzNgn0+=5t|kZS#P~hWuSTmV8ao#ackA?T_&~g_MxZ z+nHXS=x63t?DdPXUm4 z^7f$CCQ8A;RXXRw89EI*Cz#8Gs*68p%f7bzVtxix03wvg zoxcouK&5yRJx&o_FWTfK3K_Tbl^uUXT%)X7;qbnOpGv=Ks+E_9nEMp*O7aAKVH(hv zih}4HVwv;r@w>4-=N)x6GeL33>Xl>g_yKsUDrNuLD_YLhZXP-cFmE(j1g7i)PqHM7 zB-~A3JA1TE2IX~9in(U*Z&2YpwwH2qsG-xAbzqenJeSN0_P%52!S51^G!`3wrTw{^ zOM%{arS*XzN_QjT{;dzNXv|cLWX3nHSzP`h~6&=o_{Z}84 zjWuW_lCgYZ$r9}!u91f_uBK9pzIFVlWC&*s#>vrWFXH>&sOXJK5lObnSo5!L>nqc; zF{Bf!(rLIv#irz(D+NJYJ!97)B1izXl&dQvXc6j{{Lz3 zJ;0(&mNrl_C`uAUf`TGJB#0t8M@f<-2_ljd5d{Isl5@^E=bSSW$U~SR%#emCs3*f@&$x z5GO0_#wceb_$ZsyWIA`7-2X_EcBy(Y!Zh7DDG8;&(N9XdQo16y)XaGbmQPp3N6rsa zdR{`Z)4{tZKP;Sh$g;W*1V)0B9G1FBtHucKq~gp zN{#%DUl4{p_ddvARYR|<>1;Ca2ARSaKBnX$dm0^|Hki#?6|)@F+tL86$#Poft-#Bwss*pM5a~2Cyt%Bdmf4MOtm`jv2;37_;y091lJwoQ|F%R zEPr-1L<&+C$K|P_8WQeWttX{aA~96`O$$VgT%YF0=!*iS>Rx`vpR39g`1s=FOGkdk zho%IOBh@Ui4SvceyAH`TN_z=lH{~97g2SKjzxE;$vM*+RROL8Cd9MdI@|#ZP91*y{_j!f24DLauQ|I-nuXH^A%;Ci zcty4JMl(!azy`hF-$+pu*Zxok9h|==qSYx??)+xLMTgCROyJ%WRKX$qU4{+&^ML?g z4t3a5YP_1!%KR$}vP8UyI-TY+-NMb)beq zhSg6jOd7&dNqz*s9_vU>l(tLTm+A1RA}E*j0QgG>uoj^ay{*q@cJAx>7}=k`-O)|8 zC?4@);0&u%G;Lgs)eBj+7Txpd>-$BNyuI0iNv;?4KB>DrbYQj1k~96o-R7ftrJM9G z56iv0B}`>>e81G@fZ^EV-ZV$r+MFE5v}F`Ky}N<|QEbsP+sCbCvbz_3B!-{3Q6N;q zk8`ij;GLd$tMvNd;#plebh>xx8Ed!YhcZ!_2OUsRgp9`#Q>l}_2J87&vhP}79+QZ& zxu+Sur5gB9;+bDXh5&(m?a^I)rQ?noD-6!_MjX8NsMin{1dK_~#`Ee3(Ej6XE?Hx5 zDp8gB(ubI?k#9OGzf#{i`#Jx{lJSPPopz7Yh}2WIiO;_HiTs%tUN^jr>hEe;Q#nq;Z0itjhk4~nS_$>uNZ&y3yHr9@t$lU80(_w>zf9 zoRW}|)meadx5>`+)S#hKQQ)n@8#YNNI4$e$U^bK4Jw4^>302ZjGyI>C2~Ip(yk+mA z!>85X&C8Ns7_pqGf0E1lGB{hd#&m7r2|~55hm_kKedmo?oznGNwpg?I!zW;mW{+@o zwHXC@so$Vf)~I~jSgE2Qr!%&&wRLZYpxr+)`-Gd2hAl4=U5#n;*Nz~(cR!hF=WSzt zA%3l9$weGTGYuaEei)>qmX1Vnc}uO27nO()RU+OL<(-_m zwQ95UpgAuhZ7~{3vMA1?lyQs{?Q{Bbq+pjJ_tl#8*Bd70S;*$o)D=+{zH4?_+oO=#2eb4G+BPguRHdHn3&eZej9DmKOY{_k~iKXtaN zgxnS>CV9|LQzy|JpN8ps#7$k0psYNY%^!JY_PGvURl8Wy2+=b;aCqQjoY zedA6m3EWL!fEiQP+f5p2_21axl($=EOR71TfM%E}m5J@ddrCbhZ|ig-sr_@V!#nC% z|w2@W0dG;u;L-$!o48bmBM#S?%b}<#=(uq?y&ewDXJeD1x+@^YLCgP!Wf-W1% z_&!T@)5lk@m;4HhHZO!kMBl1d{i)QED=72!EUH>A*Y!Bg=gR5WtWT>`A3_u<(vj5n zc~hSv>moMIG-%-2Il>;HO24$)- z(v;V?pT4m*WKfYh%+fDEDcC|;F~?rPrItMSF8j%###wU59*>W26K&~Jv}-Hc9PeMb zI}A5Wa2hYH6;YdZ?=(?~vvK+$ptPk6@5;Up2eC_zT!}fIJK7LcQ8Mu z@+4DKO;scdI?CG-_Sxp1`n-JAxz2DxgS;8r!_w(Hh*xJ;STRoS`jY|I71`gZ6uOmA zJQEfnD~i7%pK%IKJY%wPldHb$tl3aq)Rw7)!tuhC#LDlWL|oHVsoGaVmsmMneS@J z_Mg|8?S4OVlKRX05GxsgDG*vAC=WphT4tmT1@0j?d@G7$e-5)Hz>UyK--BYN<48y=n>UDN1VG zc+^@OYNR#8Xm$jI$0_`7&-cA{k9fmGM$GylWox~E^R3Q&bkv$y$2QEcGs9a8Y4cL@ z3iI~8-23Hn3$W)##Y$R&6g=HZf827kXRcwM&v^dY@lCI;nAt(>qxv+54`d(T zj`2pwbA(dSSI>#vmpi-V^a;6i;0YGR(Y)w$&f&4RF+@SAm`<+2m#V6b3J*(u*fzDQ z=w(DkihXB!vOE1Q#ylVT=9;X@c^Bq5vGs9%;mfZ_d5!&foNFi~t=G6s-4*QzqzJco z+&K70$Lm;cKgMS#yU)aIa#BEewio&e{$`o|Lq)e9;V^@rmra|bs9o6G1qbRkpJANk zgF89fM>ao-f8?6Ac5zjBLYOwFT!^Q@p9>f9ZY-^~#1NsoWX;={EHz)jRs*1+c?|EQ z=LeSAeQDl4^uDE#G|U|GV1$4XOCHGTFW8j*B5PqJUH6HK$zdls=jZKBmpbrolrfFC zGwD!3i_&{Jn(@S4&O7s8ZmKQY94nbA%b)h|@qb@X=zHdYNK%}P>-ZCzs^Dq0hL^Q= z+|AKs*9yst#}(OyMoSWzIk$-|xI@|Yv5FC`f3D=0%|7<&s03$q!|`pwNAxoap64RX z*1Qy~R&%dy?g|@HmA{(MbCw%s1%+7^`NIXPh< zkle=R)4FGnPW--*G_DhsYMH!LR|?+R?A8UD3hfkfd1OW#lf}_QQ01xaUmitH&M%@H z0%cyr3r+`|d0Aw)zli;Y1p_k5x$!N(Gs3lY~{-1%J82gt;V zV=r#gtFb=ZfUCbh@!g-jfeWJJW@GSk0oVtQGT?QOlm z>J{kz3r^V`%j8nNi+V51qq3$%QQ=*C#JfGqR>n;>x2hsnNOVL;NW08 zevFZxj+&B^;=loN^8IAQM4w;1csMiK4{NQhEG^7UON2LSK&OG6SsTD(81}N@Z)zOeBo^mc1XyG-YxZ(CkA?W1SOWi zr=NYm$N%_rydlnvv0=3#Xq5DrxxSvU`7L|?ClG>wh*WH?BWG5mvM#j&}lS_EIfijaHJ(6gQ0t+}qk_{ik4zNHsys65q# z;|m0>Qpa*%(Q~m=BGq3@#f9$(GRH5`iRfC{-LlZTASo`Zb1OKl5{jI{P9Zyr!i*T9 zY%UCU<5J>-?>!(pc1A?#6z$utWP3F!Ic;-$S63&yn>Kg70z<%`gXAF^Yab=y(Q^$9 z@-mlZAzEyXQ)`-~cT3F(lI$Q7kSj0dc8~C8XQ-C8)jv?)Dxh;7UQDi^Y@$B_ROfXesX#L;-O~*_Tv1J9 z_tYHxx<$+fvI-~K;LV~MEGPagSY@i^OeuAmHk6EwgBly7tQ0x;eit2#WwhUj zU8Cn@#q--bn!I@6=uz^Si0$3sW0IE~A_}0>M~-m{h)T)GDyV3vE1YMeCfHcPj=)Oe z?%%Wz&h1(yp<`uZp(Vrnghxb5LQF(VO!)rcXixXx#O%yKRfG{2H8smQ1#Lqk9YsOT zlY$2RSxp1uQDr~*KFpQ(6oSm@DPu%vaW%yx~it(HLGj-Dw2Y{r#Mb9(~@nkK6pkzcUo50 z)KpiB^9U^i>j@S{MpllKjQcjR$iA-Lv6WYER!3V)a-9&P*A^e+ttOBj0F`3CTx3d$l?>G%z~9_UhHz!r0LG^Mj}4wDokgG*lHO&vGzQ?IR^6 zA;RB&`FLr0{S*GDHB5WDCGAr---1kAe(lWGAReEFtI-WaRFu>VM;Ynpj&hvh=F>I3 ztST<5V(#ka=jnLU!qiYlO-Wu_Ojuk=-^#(w$Im}7I5^PfuC!J*hLeS!`T)^~Hw1^+`Olm_K~GM+ zpZ>&g>Mc}VnxB<(YJF9>sXu(Ji?L|GP!$b3GcDk%@EP7S=LALMO^no~Bvb($e}BLG zcdf4&Ueeam)xV^zch%P3!O_h(I3g-CG|?!tRR77MfV(OYIGUvIEA3t@5mub5rHLY%R z_3hRQG$R%A>;twu1ODmIVY*`ia?0{@;4{+7s=Ai99KHO5LxTK$eSJM{nHrgx7#f;d zT3)ld?c#plFTg(_Br+;2I3zU0&)G~3NbIbLxR|Jfl(?v*vWBt&f|=<)YOM) z4;?y0%W(3n%!P}WE??Hy(Na2n;3N4dxrSRw|7d;{ zZ$HI>{S-h<0%DSq(ie2}v{W?=Z@KzM#3#f=1PA!~csknNymjmLJs%%8C(nQ&fB(>k z(7=G8Kp#h|Yj;B;J+;K7)$}YJob9ZwuV2-W78Mm1JTD@0j*E$gf|8nsmY$J;f#tN2 z==rnfCFRxhO|;IlvhWDYTr@E?)H60U&`_2UEGJp$s17kOGcmJr@SGKq zQdHN`)6>$>HuVV#jfziJ3%y!%` zIMD8HXmnUaQd)d?L|lBRgZ>3MStV5^Q6Bc=$C#Ozj-6oV>dF*Px} z6B-*A85R~E3BEiigYznmJpUukP{I&!^h3V&3jfzSX4q%^eXF$s}i zug*6tubG;fXvs+_>s#Kmv%h5|FQK3b)ba8a6Jt}$8@3LP_P5=mVnST)JR;JvQW7$X z%PY#usyll7`g%J%`??z|>snhIDzid8oUh3!cqArgwPVIQTN|q?Ys#|I;(f1Pyr6JF z`;xYX+69%1IyyR+F6n4q)KI-}LHUCA6$@)S2YZ*0)cnlou*AIVr1+Q+|G+>$Z*LFB zJ1#*{VLqNdj>ebF9ld?;yScf$dEEB~wj2-`nwFXnom5!YR99Z!*xuUKT9IFe7(qPkIpGAP7VxCEh@-KPl!oOO-)OQiwuuW$xe?B3lH%NicU;U zjE#y64-E|o4g+Qros?76&;%PocDJ^654IQP7lfPpRE*3nK3JHXoJCf|`Z)yTLx)kl z-6#wi`(PXbL18+p>)RU};gHg-tn94Jl!Q1S<)oy<fst{{#MF30Okjw+nMdKs!zXJS>#Gwv7cUoK-+z2C(pMOo*@GGFs&5>a!9Z)8 zd-{42JsnVZM{8qERdv-~tE?z1D#!&0)6-H?Qq$9t6XQbtB(7T<>fO|NJM{c-}vIn(lnyErl}VN zt7x5G7@J;Q>I`9F4=k_rBga=&AmuZ~bG2^4d{fLp_&fam%*yspqa9|M8*WcUI)7{+#?`Q|0nwy&&>+7n@ zOS03`!u=BKh8{icuWcDwnjeO?H2@{;8WC(LED>}z^$MpyQ~lU zVDl3R@#ZWBJu!hE9Uekr*7s47J{(DmFwra@8;Lyb6 z*f4S&Jvog*qrr;9g98JI{sBa9Z%IH}IDSN3hGQ zi(|um9k3A$Pz_wejE|v)2m66313;}!^;Jbh_5HIT9494wwKOyP=*8N~EP8zUB?%=R z*#qqA8?t@7L}Xjtt`Au@uEFpgE#HE5*Y%Ed^-j*tPETTIXC~3;@v-r-QRFZZIXpZx zGz6sH3v>d=4+562D9Fu70T+^>j46UG6k=|5bp<CZ;rzbIJz+U9=KwnRH zClu1wP+yT(G4KeFlyV>5`?oKiym-I!?(O>zAJ#Vsh$(?T-baiNJmja1Cz$$(%NjoE z_XY3dS2p(cw)M`;&(6$%MJEAA(dbdI=pG^*qY(Xo{oUO#pyss|1=$&C$#F5UN%bpF zn)CY}K3bfcTbLO|&&}cBOklv7f*KkCFLZSR-D{{WDuh2Hp`bdne`D_9^H=C_TtC#Lr-%uUVC&tYfg=fS&^lQ>x;hY@{! zJ)Lk^dvkMbRo`=BN*WqE^6h7@ced7E@4nk1Bipy{;|3804Ff&tDxihxhr?hkjfk<< z>e9@-Is~#0Gd(_qotwkXVzJXxGcz+&Q&SjV2z#JLkb{GLef`~VSVwb1O?hcyUUmjJ zacb(DkmwTM6y(EsEEc;2xHJQ#g&6~q9vTGV>gk5Tp=})v9cyG1G<5XjWTXT;JI~NF zt1FLQZM?+ang2j{n4WTd2!WoS?yGNy_l(ZW3_)s&D&W`!?8*{$VIHgtSOgXaux4ha zrzUWS#&PBXIMm+-g~8ifn;RQya0gCBbwfK0IRj7d$(dMLT$*24n8TvclarY7@e$N8 z5O8mIZx_514sRRS-VZLt*o{xrKS`%qR-L2iAogK@Ri}^!4@wf7#bJ`UF6Ewm#U`1!%QG8Z&ZR zYFir0MhDxL*H=(o$YGrI)HPt{XQwA7F+Ck{$mr_w!UB4HadB>Ger|pS2M3E|5ZEoy zBw#T>Y{1ZP_Kz3<#{eKU&_9G689`4^J(wLpG?X>8V-}`>xMy(u86O!!BKrph!DKKK z*h4qGuYahexu&of9QPGDdDRuI<=zFT>8)3@!$|ZH8Z$oCR64RWIW>u%AL;Ce^)D`9 z=ccBYmT-IrMm9AABsL8IO-}=<0kMq(B?b168X86pBEi?t5O_e1j*U-_jZXk$AA#1Q z=BK7cQ0NKVVLCR30y;M|I5+_83^@p?0j{*Uwz4QItDv&Bs;s=BzBb(=v<3Cz8M?m@ zH3C#(q92BwLSrV!r^ZIHqa#?LinACLc6ok&Zh8jD3-AcA2PpL<5EurWaDd1N3I_rS z9Ks-=1jr2`hfrgqDAdUK%t&YVz-TYHtPTu~PK}SEM*$$fQQSntAgnC6q^7>EwyHEI zIj6e1q^K6sm}KHu+A}uXjTjn1V=%xdk-exr3&PCIPNFf>6XUaEJ>&D(`MFu_BmgrD zWCqxSJB+}A0^p3GfSsX+2XMRrSP(!ndO+(#3=M%Je4xLhyDK-n1=?5#0SEOMumRu& zfrtl(z!Be81{{7H4APLBoKsm_QCwVETNstnJw4vvg%|;W4rT(48AA-CfobBXAd%>? zjt7^TzIYAbGjLuEw_OARh^ik@fx{utj@A|s6@j?C5QIcI=>`f_DKo(B2I2l$Vv4f{?Ma95UDq>1wSki%kPDOb4W^69)(dlnsf* znF?}v1l0rU9R_{913+a_ot1^fb;B4G2G~4~MN<<%%YZTiZ5YHE3<5Z&-cI1TVIU%E ztOq+UFDcH?%}Gj2&P5Hv5Z%4qL+Gi6nZ=pGULX$;akRHIHP%&Dl$Vy4R~8pG^z^~H z`)ZS;%DR9zfq+A`uMccp@ArZaoMY|k1OjVoYiww!ttl-k%*)BhNlb`xtwMKogXO^A*IJw!?X54bfj}W0 zEv+DktFA07Ey&3$%rB_`L2X4zT69tkysZsz2nq-BE!ZMBK0!DK{==PGeSO_P^AL#P zF%YPtkdWpsBsg!z!SM`^1T>H?PS=3_f~f!wuq{BRwYj;zzNWk!1oCO=amgTNzZB3v zjvAQ)j&)`d(OQyGP`4NAHr3TumxDk$EiFAIuOcHhJtsXjHaVrJvAql0*a8Jigu*+! zx^b|8xgdss>jvx@90CXX_|$MuS9cE-3J2#D5=5RL2*RB_d!ij01iAzCxu**Vp{=Q@ zv9_iPgwxsJB9a&p7Z(=qB&;6OKZTi}9-kO)D^CHDeq$Y&Q(0bGT#%QQ86OuLmR6P& zm7J6i9h;bxR|V~>DX4A1*(W$O;4pY6Xuwvwy5SHQyt{8;WT>yFt+{g$R$1592JPwv z77m0u3=X`(;k`o#*g2RChk_`yrM|JYsl>RIL2GJkYHDh3 zX=!b1ZftIb_8|J3OG`?Mt6QtU#k#z@p{WB72lj|_>fox;1%tt$u#S$7_Kw!pW}u<< zRTUM5#W`77iOJF7k$%A;o`I3~@S#4PMWo4zM6&2uH892o{nhR2s;uBIblOmIH za`THy%B$-eTUuM&+5mv&<|c5tXsBzbZ)gU02H=ap^`|(mAUiuVAtgFI+{gdEmzPJ5 z<>vm%q4D1Kj?(muk~(m2%g@WqOifOXi;oHq_6zj$hzfHJ3JVDfPcO|ctxgEaDay#s z%F4^h&d$ot%*;$r&q&VzEiJn!J3a~IK71X0f+E6weZrH|(z0{%O3JHhYin!3g%EJA z3^1>-s0gG2sw&FMOG-%{0kBd%y^Z>ei2$SSF+E-A^& z&Q3`Kn~aW$2=ejt^>7RhuyyuzyWyHrkdafEo|>JJ46ea(ao`FY7aJ236&V>B1zL1c zYTyl5KW}H#Ywq5DzSs4x1tr8Kq@<*0<>VI>fbcXEhdLuYEj2Y2M5+b(`T04y;1-sg zlmu3b2oCjj_p!Wbb|s8t`A~XdUSVQNZUs1(^71oMQsUxc!Xrb1gZ*6Y*gJw>ZZ)&^ zH0M@L%u7y5PKb|*jtC722?`7h@bmTY_PX!o>E-R?;~Nkb;i_YF-O@zM!0w*gU2{$8 zYhjV$F)?vTDIjo9P6An^$cTu@h;Y!NW8)LST8W9c#UgOa1^RkA*jiXvDqpn;j1l&} z5gvZeC$Xe3H!m#}C#Z;spg?~gAFrF%7B_BKS{unq3v$|KXU2k5S$I%TfRDHPJ?A@i zb~ZL((AvuSy3H+nC+{F<836@d6XQ#o7q#^-%O97#9|ZD_{z1W^p+O+E=jU_Z10*?I z-95a0ah+jdp}_$GAQR~B>Sph7+sw*B)6h`H;56P%X;~3dgKJ(Pi3za@kx{YX;UWJ1 zKCZ5gw`>gb_4Ev{SR0->DSj}#< zhpR$-%2#gQw$c(hBPYi~r|RW?`>vC-lcS5P(_MSp>z3E9nwfzwGYiWbcbr|_oSp1# zZLKV)7JXxRTD!!O;sgX87T=#NeKxt36THPxoo7RX>jGLiHU&} zzX0?5BbVCfL>*l6cL5|D_u>B%GFE8IYNhK{4%j-ZaHUNmZ zv4N4kmZqArf~>TJ$oaD%9mm6c>NKCgc`+GPZ7o%0WqD;yC9$(dsd%-ul`qH&Nl5XX zI4ve|{@gi%vx4W&3Z6eN0+NEV(y}t*5~AnM3!evtD;_>xE^fY)OpMfwH2Tp;2O(4Y zD4EZQ%E(A7$jd3pOG`;fiHVAy&RV#?Hmf&2t9K5Ed8Z=M|9@6%yd)Im`dmZ0)>#vc9(bM4y zW%SfE^kiKL?OS-8FW>Lr;S-S%;eE!#!^hj%#mC?M{OSGHn~m3>ci*h9Kc1Ukm>%ye zYaO%Z%oPbPjEKo?7(fk)7g(i%qAK9R}!AnjUFQdrsC0Rq{fiMgf6>zi*r67D;&pOgrH2k+hd*!%(l zIy^JC`1r-f#>@4!)u(H#kJp~BK3JHYTUcCrw7N8b0++WvY4t@M4+{zi27}>fRv)RD{3w& zEt602=uYvUmsOOJmQyrv4UI`DsBP;U7(q|XEkAy`_Hb@~Wn~@%a%SMBj6|bB)B$3D z1h{a4%P?^GU0oou8$u1hTAJ(2vLo%TM>u4=np2sm9%5ppIWEevpPGSagNzFQ<;PFY zmXYaq{Y0xi?5Ag?AUw+Rtk?$DK&Uj(s$8iqSAtYoa z_}Lh!_Y}{3`p-R5!@C)K{kXUclGlz5B^5589FycwJ3W**U!(yG=rZ_knJVR1=OVJX!Mf=8){mm4#ae3Yau%n9J4wM5)X#+HUsXXLEh zoo#Npc{<#%^@yrjBBo49%_%7_ObNard;9p1!RAF`NzUviBq^z3ko}rf#wF=>WUm*N7SbKSvy9i zfs94-r?h6e`+2YBE2k4Q*K%_yj9>jGJT z&c>pY=!nSZ=6&^f#@^o$e?Po$z3CG)h z_59JoG2JzwA0+<5Wi z!SpDi8(f;YVNK-)d1WpA=&6Zu^!)RW_`9!Grl%jg*n0bXX$mvF_-J+Y5opU`Gt~4) zPjd4MoIQI^NL==UhNhO5j=qW6HDe9Y6O=@RJ;{Q1@DJbI|BqqPmv)dy~eaF9nt zje-mH=_y#q{vdvE_dy2-nb58<~xqAo<6>ykO;zH|GnVe!`1oj9oy^XR}3_j zBm~$QDM|4^;}IXEKfx<3t*D}MK>>W2>ohwH<6#;q3ZPJAq@<*P5!7@HOw7y-bX4S| zM1(|S6m-ldIJr1j=@0C#qWiiB=iVJWe*S{dbq5y@+|2<1O+d20+#PT<1Ho~>*Y? zCHS=UYV*~*9m0K-hnY`s@$m8U@tit|14@aDipW9R599_k?+_y!kFfkjBMaNRF1R}C z7eKy#I5q%GUqAs&pzsJV-1qcwb9Hrbad8DTQV(2n2Q0d6V`*xjbwO5CfSZl^FmBuU zpFh0cdi&&hT<`o&+%@D33EAWo6?y z%@2ZLB@JDpt5!GfINo#f@WNr(g8;lA_?#VRdp~^3rC+%N3=G`G_Uy~q(cun|skMa} zurhsJZB2F63rdO#av*G%k(QR0k&%^^lUGnwQof)9f_rrhjf)pG_nH=H+S)q0mvDt{ z6H_yDtLry!-EnZjVetm4;q@QZKw$qL)gV7KkSh_BkN|hCFYV8;{xau(n)+p2LZS_< z-O~4X`d!0qtpfs*KjOIkeEYJb__vcG zdt+aS{z&2nC_fJW`20OjI`%+;Z{oj_my~S(l{Aj-SE`awkg0-!A{0pNe%F5Ofc`f7 zdrW%}e(U;ZvUQK|f54wF%z^-Hk{#e@99<|>9QO|HXMp9W4F;3^g`&)t_A`;; zZnEEu;jr!z0}aw4DJlAe8DAtIfqU5d5xfDuw||u;KnODO-?lHnaH&a98r);rFGRk= z`Q1O?;rneA*DWRWRU&()@CDkh+5#wlWz1gJ_j&|20)u|x1W4e5_6wk|cyM%Nziq#R z^=BR6gM9#u#2*?24vQ2>34lS|65og)Nb_qS^jAPYTE7tb4i4_&dj!7>{|5Wd5dLoL zS2Dkie1*1$@)rg{zs~y|nBO{Z^M5k@JF35ReD}tm%#-=TwJ*B!3+SJa`zzf)A@zr^ zex3UZvt9q;T0igHqw;0=S8zYf{vCsVw+q-m2IuEM|77HMcz)Z{pS<-C z4*gCRzXJGoBl!n6_1~rb%YpxL;Qu!q09UAQ8i*96;ILm^!@q+Ia^EA6`~F!P^7WMe z-$VI+{r_PdK>l}l_BufK-UtX&fMfifZ~PyY{dV|o;K8B!VftRz*Y-Dv{v%WO$bMOA zj~#nY|1V+L6UlFQaHzh;^N;NJ?=A9`5#I?6$F1){{=GH-mDxXV=hvk`|G%>Af8YHt z2mZ@}|8n5J9QZE>{>y=X0|)+aO2DK)+V6{~q-pX5)}Rz#gT+>I>`bN$;c7J90x0TZGh4SqP_=UNj(E5Vrhwr$#dl+?ngR)ol)Aw6VH5`hEV4_xgB$yT4x7$H)I)kkXb0 z!TpSsJN#|?y9yM{eOSnQ_Kj#CmqpT7HdW3#|;1WG)qugxYMXFwgGU8Q`y2etHbtt|YJQ-t_@fHsk@)vRkQqjPK zVCJx`+!Jnb4R$RAnDwn(5xkXnEGjD zy=B;_TJ@<(rm?-DvMzY?d+REq)#?W_w}rqs!3?tarFI#l_k{vdjtA-E%IpRjSE+ z3AbVIclj1tuAMQJsyW%gvnxbbA3x=m+LrXmpcwg0-ziI@QL6(+prJ=ZmNl~ocRfv2 zGL1}7v)~?%`l4}B6kxMBvd%*_BXQMc4l+j52gtP#740ex_2mq_jICAAO}sa zmUJ3Lo2mR243S9poKnTFm2YQFsYO0-a2$sIRU-?t`c4cNwDx#WNHfQ+ z_v}`#ao&B@l*pStzn66f5m+$k>QEpx_Z;a*S3QB<0CZ#mad=(JA*(#j@?~RNn>;?~!NDXdOg^OA=_)PTY6X5yBYiz%tiNSUUy-}N`!pJRZRE)xB(f|}R$4g0-MA~gm*9r>JS%{22RDk1gc{h4ERBW9BI zBv`aekY%aXnrfH{jGd;ALt!NG<6??Vz=Hg9y!d{#*4 z>={S-Namxk%+XN?47zk7#6w9tlp2n4ea?jf``HCug(6ztw{ zOxjaBGOFNLyJXiydUb7rkdchU(F4Cd0xh%JknpFqQDPWNi$EuH{1J~)`eXQG17-_xCQ$qYiQm0{% z{x(65+gB`ov*4A`Qr_#FQ`y@>FVaOeUW0^|L&de`IlZw8&Fp_H1Ip~Bc+2srf0VQWNyWOlePdo?^-Eh97t5}97jSxmBk1J}-`iR_HZmH>`n6tasH&>)Wd_05e2wPx`N&=^0 zfqSY)<$SQVpo&WM(0Co!gt>dhYp{=J`EnwzKdOUmdm3DruKiO40D)eXlW* zKxPo`uP?R0)3<-1Ux>DuXD7LA*OIN-6e@5o9DW0H+IwUCOIf4 z#8%l2`6mP1H0Z~Bp849yyJH1@50C;=!UAY&@D1d4N1*|7@tOpK<;?J{J)7&pxFk_Q z0Sl;hx-?Z7C^u6UPYJj!&*e>HS%-P@KC;WR{Rq`5r6Hs~Oh;~L3@)_P#46oKCf!)e z#$D~31wgu=j0&*ve3P>f{BKT+-Bs_N=WG^wcoNAtxY+684LRs5vG@0`xvYA~qb_lo zh}-a?qDczZREPQKT@++(8GSj$z4}3fS^>H}&8zPD0ase+u32`hq(DRoOidh9xVC0Y zyj0grU{YFYK}=epL4&cJdkfFMwx7e6Iy36SNxGA6!?q7{iH1gc%{@Vi=P$vG+SfD8 zI}J|mn0@^E?MzFXc488oNArh2NN_4GplTKAbFm&MD>Y>|ELe)55jWuR_pz$5^(Il&7%LU6T;*Zh zPSH;RCmB;6AGApTbtFJMWR7{p*s)iL1n-aXb>Yd5XY8I+YvH$Ry3pAg*n%NWsDwq9 zUrJyx(Vh-~Hs;-VdC%+_4>ya*#1-jz;I_D0V|_{v*BUo`Bo%;#8E#u@AI0$wsAnIE zq_xpW^P#mA;nd0D=58KYqNBQzAChkt^m}NWF9omr_s~~OBgmtcSojZbYZMDs(ktM! zBb%nAvQLYeq&&Hy0g<{zdLoNwdll`_uYD7v4_gS$;=+vbQfxuO6T)GXCCUAy{K8yd zXK=CDcFH}j{@VSOune_=WzQy4ys@r+j<_~J#I2y5Vm5x~;@0TF~?nRBVMBJ%}v zpSQrb{Fv%09PT%KVCq>Gcz~T>_j|VoIYpt&!NxEmYDk;4*v_I&i2vQV;3~hK!D41) zA1^sC<>YN^fD3`=>#kkYs72E=HmR3+%yTw>qY&9~^isKdf_1vTz~>?>JRro-Np|N9 zmNKLQ2aQLMuHUuh_nkR(aPmgn6Z5cTlE&Q{zBPgxJdnDQ6BU*Mk=$xyC*G_aw4H2j z7nuc7y)2FO3)4im6fACjN6LB3x!iS8Z?g!xjO^C6nJDN|C#y>LQKY>yXHFYv3j6_> zLjaBylro`|!IC~f)9hmLs3I1$ed!ED`P^SrV5%C3LWM^A{3vB7$_R|P?8<-{po;I(S#S(iAa$65pl zwdu&HLs3vbTxBokflFy~yeQ5!V`g@qOS8$doTwVOcRHffT^VF~@Hjg<2QXj~6MEK%eLQ`R?*#ft(_LfA|pUmu#&)kE**f7J zUN8<|)w;Lp$DSUiA|l-ITx<|=w^Y2dN4GO_t>1xdD3U}J*MzHNYT_iYOpl?m;H9>q z&pw{xQa$pU9n3n3cW(`J#=gOWLc;5ab1j~pXf2fnwKurgu{&Z|l?O^nG86Rm>hcuB zujKv5P{bo+Z{;H0Uj%uO!ikGpLVJ#c^p~%#N&WDN8)H{wWRw8|rM+~5UC)?OhgQIO zNo5OBgE8UpuBdI7e3p%SOVzu3@Wo8*l!ITV0h$sD!CqQujHSn0KFWf+wC-tjbKTiP z7fM4rx|7~*snjAOapbbOweWOdcV&A)%u`-(@m4cY`RJiQHahlw2E`^{bi{S7K4F_@ z&xJN#KUcs7=n!Y{Oas`ik60<2k{*=xR@SMnXxy?n-dQ8nFwsyyV;$L*n{MIvHGJO{ zox+l|oVH()eZk#SnWMtI%g^1!pq0vA>7=gakaP zb>*W-(>}yF3?DW3)>Mj#;SD;JQ~Qk}8x#gP>9 zRd=6as}JQgwZ^=Uii}z^AF~L%(jVeZe((A>L#y9_v}K<#C_OHABCoP_d^h7v32)`b z?PPgtKXj!t(PpRkQEiDUQV$}tFyLrdU#}^KkFc)?o*i8{vv-|liia&yokrju#B(7Q zBsZ;S41`;5girZ8?rS?@-#ep&kBawn0XiRn1RY%QfSgq|5`Q0&O%ZJs9RHlvm9HzW zvmE5zg=k(oRv((}pmOV> z+*{ztiS#0LPAVIH%1yyPu3fMRu!^cNVQb{*Rn6yGzU39yI4T{<;tuS3v{Hr&mMNW} zZPNEda&byrDnCxYZd+C=++~mCKWeyiC3o)Z)k%5RdM{#Is-YFWlVp&s$gr zF3~mclB_fI0;pf#L90G`CiQQeiaLT73GZCz?d!DCGAOQ?iRzCoL~%7!MRWGtf(tWw zZ^SC}M=|zejc^$S2FfROysnaNQu;&=%8X((P0!%smH6ze5_;$Onu2gN(?IUrJYmlf zOfh652Wf_Vfdilx(!hzZYsk>-Ko`5h7_~l=cIz8--b%)+m~t+dPSvb3RPnnOoUaLt ztXog8(!X#c<>Z@YeK~2l(O=~bX|J#pi`KN(A&?ZOYh+<`D$ftC->}<%9OEW1y^YH1 z2^HMNmWX!9X)4~_~5u%R|>e{#CCC>JNq*Qi78*=o$;WT z_Z>yu6nZ$J1o~j4PhIHF)TP~vj*gdZ(;l94E1}JBGG#q6sR@q*V%zWn1K`UV=E%`= zIXas?lEGVP&-ut)_PejfPpGvI6s8RWCPAw`%Wo)ZleEsJv7PahDZ9K&$ffxLwjxP8 z;%O8^lCmT2Fgqaa}-bzcj?++%hHo4~M^g(SN zwbe#w_+}z5*-aHKM>?#d3F7tRUyY_CkW~%QftcEH73I=8i#1LrEkVZ;EL}Kkz3YB; z($+o%Zb5S!xZE$LNv@q~B=w&jF>LMRI>|%bH zWG%6LHdSiXT#w$-kAXAP@n zn`UONtGJ=Nz2j0dQ`-R{$(({YqqQq%Q6q@rfL}+P5DFQ8a2u zn_1~iqZ-a216w(E!t+W_)C!4m0ka2ebW$P;XFdIHyJJCRc8T31$}epcI@IPxJ?Bpw zVxCe8?VDGnnDD$YO&;Y52B#+9cXdYE(Tf?o@CJT*mLpESFja<)CWeXNpNk)Wes`OuU8CVeH@0ybL<2$$5j+veRSwoj?BC^{ zn{CABT#O0qerU;?OWh>%w-yZaoJzFlgB#3Y z{VL}vPR(%Iv$LBEv9!G)Zl|zfV|NPY1>-wmL;`xgHu5N~eUp;?w3J;ghP7FL?qwDNRlr&muc$zp@({Gpza#L8QA8MeFoj2n?V{CWIEm5bFKG3G6 zoVRBSc-b@|z3v|K%=D@fJ*{M{DswuPT9m_#qH9{Z%JV&eDgz`h;3yj8kJ?v^Ma5F9`AMdKLA&XMRnna=yW4?K{_`1s$nX;5t5& zG{!Zyi^siqX9~@bNhkdMef~h#!lcWpL4lgU!xv9z7(~k8b~J<~A`FU^YS8&5g*cR8 z#~N3x_H+i`iwvr~pZDezQ8#Nj+t$Sx;xC5`vEso?as{EUD~lX2rHC37Zhplgy*{J& zdi&!|TST z`}N8BxgnKzCp>YIdZ!(`OMn+Tqy~eTfEcg|ut{*|8}H>7hSmN;gm#31OkRGt*WSsY535*+7hajx z4ihqZYi9b0WH zT;K7;*S|oD2w#j$I&UEi#J|P@K;@8eS#*!Fx<_^=_n;7FlG#TryKUJM3N5e0cu#O*TY}@Z>Sa zyr0gc@@lzD(V!DH9^u_S@{zWx$TFkC0p0V)pN^ut)zQ7NH7^*7gYC|o1<~7`9wNLl zmd#CHPNW)--y+M|BiRe#eOz9&{QctD%C8MA_0QUCP46*r^Eha-$}NL64cVj8_wJ6y zY8Iq^rLw$ulcJWdZoTtk4ZJ?%p?t11|r zkb z^f1-S8H`f!W(1C9Xv%MXy?${RPT^{jN9P*CPN9Oso52UR>DBZF2|W?Wv_qUcB!yiy zU$*U&?MbO+1|BVQGv}(dWi3vcM7cgpbasnp^GtG+5z&r_HmX zp1-6#1M}tqyikR4nkXE!B~F7@)WT}~7SUGEHUOYO&zw(6I0c18ZAU8l-J$ZuTRzMFcdU$hL)^8-?O;FC#3NZI)_Bq*;?9oM zEnf#nKwZD@Ch2gl0^hNO(I6}Mkt>>laLM_ktPo_tw_Ja%>U&Uq+~L${#vpi-I&$vv z`e@xTShyZsJ7YXcO+zfGpeGaG)tR2@)j5{Vi07RoYKgoi2_>bs(%3K}^Wr3Ep+D*5 z*W#|bxWC^Gv+x&4KNd!nRn{iZ6yIc@>^Z*?>JRPWZN}ld|s%3M;?yd zeexGr`D@ffBz03FvzEc(D*eG&NfcLVHpIIf$2i@H&4&|$9`(!x2G|f(?xYu1>#|St z&21)w`{vemljwo^oncT-)vEWzMhTXP)OU%+`Q%_V;ky#*xY5LFE7JdavAG7j9NH|l z-EmoV&f@iPPN-^H>p+S+_Rlbo;J3rvirD~ts@As-{^AWJF;ZcFQc?IvbDR!^TEm-mC=pyWRe$1;iT*#)UJCt3Fa3 zq-n$vWG{0rd)&_!U?>~LNg7!_tKT(2r`8v?8-&s2&ZyU@;Ujj9^1~{EI>U!XUwzla z^D^j7JIPpZBnD9|XkJa)a1?Qef)-028rAk17jG%ZZcP?__kGm2WL8IwJZ6LrN?3R< zW@-$&IDG4Yw1P=bgtv_(+~_*d4AS$|%oHx-w~>MjhF;JFXawi~xrDxok>;DvxWEaQ>>5w#}_3C1=s`f=Y!& zqceKYP!WX`l6-f)K!?3wwEfD7Wb3EhY|V!s>lS$cMq&b5HdttbAydBAx1P)i?f6n! zD%mZQ67?)~@%40`)K;@m182`4nNe*oevo(>?dfagYc%p01;OcSz!CKHR0G zB}_*W#X(>DoF+4)fVxcV2UQZfKA~l%T5!-_sSCzrCcrgK@=E?n^y>W-B2)Hapvky<4mrE^)s(1X@n?|8F!i+m2y#TQx#_$*%3%_l>Q+)33-*MyU;T9;H-*jF_$FHptw^L&)*qs4PE=nPe9Bx5+CH%@R3#(6Ckl`2i) zibbwG7h}4|khMagQ@BXw`f6hB(L(gT;p5G)K~PEHO>o+6wo;xtA4ANltOUy6f3vFv zKem;6;263Cf!XipcJ_m-p41`^q?atJdDli1uAxSJd_JPhImN)1!@|;XjJY^v-KPtg z`gJD|9OfJADb2j1aq!>|jIwi&D96>~iL0BbI2U?;ai%mOrUz4>gPw3&efZZ)$SV!D z4cpHYLTFwW2e%%%ttWFIurn%yFy#yD32%0^pFy^+K7v$pPZqF2+6rm^W5J6_hDM%A zl2=UDx}tdPh=}<5c%$@qylqo~C=%W&hL8@@dZ|-LG0%&Z@6I+CQp41{R?a*o_xJ46 z@2{RE&x8f$%nvE)OGzswcAln=b*^y8 zOc@rZ@$?WJWw=fRn-MTIvMS_FCkkFbm;@+YyDeQUHN*|07YA_iY0=dB zcO(js&U1k1t;=02@jtW}7pOrre2ho=wSwcC2b`m&Z5-NyFm?x`t;%+R(LQN{@l3b6 zHG$jYVV`zqkG0*c==3Mnc1q%HwKhSJ4^X9nkyY8hpSsSy%17hh28)# zT|(S(4r^g}+eC+v4&bK(fBa`au1BSyMwfKb(O|8y0s@_@1}BB}3+~ zUo+&x>H!b=$m-vX_;vx+cpRR74U$)()~yWCYoj>f7!wo3@Iih^XPPISHDbBy9S#_K zxrEs;c@k1&;fVIGlVsc>2nP4sVJnR$`VK1quxTg$5S2gZYC>+{7Z2$ z|DirJ!W&Yc{JY_BAVWV~)z8e9#@L=k`Di@!(T2j`S#lf_D3B;gvM||%H){7JRPwuCgwj5M^xqkeWz7{oq92I*XlJ| zRZVDk%`~Mthg~7n0stc3Budg?REdyd(^7B6DmolCcB2Y$X%Zq?a)D>+)IFlT|NT!l zV#7tgG(XL4P2z~#T&SBVq=}Sfqr!y8De-J{zhP55g)dLZ9;5fNe4t_IZ0>`t?judo zlf}E>t4IcBu=cyTvXw7rLA@fp|P1g^6k1@ZYVFaaSv&hk?ie6lBdLIBTg1U<4 z7E~{7_fllC^AeL9-;T7@;BI)ik>){Bs|z%~8WW<6CIWnplxJ-MERcF?vjC0qU#jzo z-}ZP>k8xK5{z}l(7LR{XbJy=aKppcB-$Uym-__``kzVgPiRCEeTr<+ewQNole@$qQ zDZxVQsLW0kTZzXJZMr|#vY3SM z7nje7mLN0RMWom0*wfCIYa`x#!874!Q1$=M`1Su8Opjc0+R>=`$Y{p77$7~tzbp|6dZd%--eUN=Lb^jxyB7%tssF%`f5|1>h+fH^NFvGe$pVk){q94A8= zS~sQA`-#j$ZXdbox7D^Rw-Z?jt~P(?Wli4`>W0^keBz|X`qSp{Y6k6SsIvZ}-}gvN z_P(4dG5tAujDT8KUxe;{ya!?-)9awWPMG^N#=()7;hD4<4y(XuAj&Z@b3vA)*1-Pu zoK@D1nq_w2eA_wNMO99wZZZ;J#Z}aHhx|}Eh;1n|X(<%7vv`T@J|r>A{;Mvs7RwE- zT)#sur|+i)(}1a%$xxeOm@RV7R!d2buh1rob)gv^l4^mhk`i#aYMXfHmcn%U8nBS{ zzXBl&zp@JFm@*?_u)c&?0C=DTSD!`3{QfAOQUBfB??UU}*$=%N4~N9VNYn*Ap^Luz zuRLi$PX7hYvZY5voyCbw&$pP8AS6QWWc!CDiRWAXpn~a(1%(^kGwM~=RhpfNWzfoM z`95_LZgvwx;giJgb*Nj*UkTs;2`_A4!r`&3Uw4!CX_~+?jx<1UOgL6N37YY(=Y5|@ zDOwW&pi&xzYniGNiOz`8^+Dh9 z@X-H_{iMcAk*G2)sacg3q&KdZ*4$_#A7FQGWiD~`{j%VX!n4{_5pJU>l}m&K4o}F* z?SIZ}_>%rrmC&xIYY$sFS4If!(`0I4-K{<5!M+~lxf0EPjrbDN!o0?3%A-CnGYH_6 zyC^UqR4pA@}l7z35{uzd{EO5l5d^(=8Mn3vf|8Mh!#}KmgJ@xaW zUgGaw8(L8&pAm1mxj>tZ1R=K0ZG83P#FtsP#mLF0F^)%AJA8hya${UlIga_? zJ*r|^a19jXH)7UrqU6*8QrJ(gJI53*xUv#g&|br|Ap*xyp095pmL-Rq+_xgWnp4U5 zmkt&X{dW^zXAXVQ#80w&vZx3^Rge=K} z8kk-b9N}!(Bm!kk=yi%^Z%Mvxet!mh+W$k<_?KaGruvMHk~#+OoCS}$g61X4QmMeB z?DtotE`a5A#Yp&Fypcs3zP|1oLl_^sKvHwW$_1OM(_5Zn)33yzh|c?$D$R!{J#OJ{RhrE-ys2H`lYjJ z5iX!iLF}_MuvC$FLDuq}UbNW%%a17jo|1p4l#|Q48-Rr%yF+&h*%Cpxs6=s)Ff3@! z(WxoHrqJU1zJgns5l`eVD$kG^!b+5{Iov*l5CyE=f*m3=V_zJVl1wlCH1~G3*aoBrkSxo>WV8d#91b&-d zpyc$x{f5H(qA=J#)urJ6(eFTXx)8_4-EyR$mCVlEs9+3@U31PRV`wU<>iUGfNyz8I zQbKL@fI*SI|AE{=g`Dp`o$A`49#y55ziCXfa@DaMuHBO*8)e(@2(z00xjsVS@&UtG z{@{LkzNY6?loRK97BHbW33a0}-eYrqTe5b6A&Ja}lHowvGjrn$L}qL(8U~-@Uvp$w z2O%v#9{b9EI6K}G;X?3}wpkiK*jou0M_3G|f+*~D;h(qS*U057)9I{6N_wo#-1}^T zbI1s+yCPbqTK4k);Eenm)T(weR~T!q1;LfF%^>Nc6#tYWFym7save_^n*Qf3^pi?K zlLjG(n5b_r(U1thVW`RUo^o4y>a#u4XY8W87PB-qJ~8uew`~G@I%)6mdw6J5--uaO zePno~CR=d)Mfl|}s_*!1x`y{eudxNxHSTtlbKeoMwDBPp z_T{%{J+h5&+I(eF2)4wXnv7Rego%-DU`J^B$eksUc=_Z898g2=avPh3QNUZqhC}qd zB(lLpRyM>;rZM7eef>B706`DW?94r%Pg^;8)O~`~)iwaxywOJa27>LB3=BN+{-oM0 ze*yr0W$Lp7r)Cp}bt;I0I8Jm~qV8)wYR>RgpRk1DH^*|mUo!#OhX5fkzrFWCG2Bc_ zj&Co*KU)k*rwgc8{zCEMcg>Cw((f+mO33{;R<@Ql{A?>+N=j5N^e+|o>4n&xC58kW z+W{iR)UCP466td%KPf;SGoF=q*>}lTrKtVil6#jllYR(C7F6fB#jx^Jn}S@SiCWth z;qi~^++~Mh83{zB?{=Thy*(3t2)fB~uy5fV!-B?XrGFF@|se9V?Jn6j!f9;Ry(*3cO)J{OI) z{L}Q9hBa?noO z`!@QFK29T>{IVx2QOtz$Dpm9BCYM2KQA&C8jNe6??D72@mCwoNqL0tWxkvJkIlD0g zD;5KI3&F;2+hB3xF|OD31=wXN1j)CpiBKK-KG0r=uGj`Y{$X6egx4@f;yeSL8@liq zi8E_<}PaA~azGVZ}`>WOI%{Rzs-yl~s&C!*?&w$TO)#1H^<`Hzjd6zisti{AQ@!QJpdbW|4?R;{DG>Nae>ACM(SN zMR#F1c#X`CImAC?RM_Jk1b+kJ;!>>EPUCE+I(xz7F9iy6n`1<*A(wkq!l@#PF5@JRdu zV0aR+Z|Gnw268hQ%caRjn!S19A#qc0%VM0Vkta=+B=Sr9Hmmzd#tX^|>s;Od){|YC zwy&}oOelZQbr;34(VA?(K>zS5-n01jQ+?hs;ViQqv?+P=JAdUFFc~a=3?I;kwFyh7 z3hDh0E1Bl5YRVG(`G)^GxGvXLO@Y!SG_ancL#3OdBq8=evK+0e&leepq0^?AaUpe{ zzOM?c^riMp{xT02m%dGmeP1sEd}4ssG@(Fm8Z#goqc(MNSNp$&cD{0nx(J* zSim2mmi;VRbvud~lbP}|C(ZhxZ5D!6XO!Fa3x#r2c2Te<8ot0+{rCHyPP^*g(G&1` zSY48YilXFWQS}dsr7_mryAzwIKO9cU-KY& zzpmp~#gdcqKu^NeuFv<*qq!G5EL5%l4il8z?FGX9?*S&3iP;SdR=h1iGQ;JFgT*ru z`gw`B@ZQe+^-oZ*dwk}Ms}5d1A~MH5ByuhazA7?JtO#ZVIoP3l4b8nO*I>tQGC=!0%6eR)pvkv#eJp zXon*In@mxElUgCyT{a*pLb*YXoSjKCSSb(}^BB-hJ6p-l3o!QE|2pVc?HLMeK20X2 z#Y=M9eX-&A0!qT|xK%-sB0~3!r*Ufn;4oEn{a)sPe-eVQ#5Pv_f-6>MgMl4*Bd4vN zP#$9IA(CPWl&!3%iefTXLp^Q&C5P7hs}kx@T>(OSCA!~nF~Nzed2~;Ou_8Z;s_C!B z+~74d*NRrJ-p9Gaw>iAmT$eTFiDK8ug$qKfPS2$=lA_`|p2MHae^_Sf`a zE`};_pGvfe)$Mwb#U9=7NKU^}E~2X@+0X+=h*DaWjiyMNVK!+n;V6&fm4P4Xz~0rB zMaNyN<}4cAmQlW2^k8ktUIc)f_@6|6NI~u&PzuE2QmJ@y%-vM_$(z;Q(I!8cNIZS=~OT<3(b~JaB+fX>JJwO}{eb8l%e=_>;5|{|gEG zi~ZSelncZpQppj|AoNze?c@S!#;VJ{`;?F?!BRHpc`U{fSs$iiYZD85Vzi|e18(>J zsB3#|+k`WaTuV4$e#Fx@fZto`^i><>5Wf$A={(_<#m*8a4>LDTO!?~TYILY%`0 zErdR5_11}{%OVFxud~8{8A8ax$536$pV<^zyZql?4}rJ0hRe!h{df5zv7CG(whrpO6C`+6@G8>?~>`B#Mazg4!SDrEp-lwpb61B(lu23|J~(jGL2 ztl=Jl5_IvB;j8g5eT^!%CR_5%nv-lJ!m3`9ftC`u4F^w0J{HA)QsdsS=CnqMd~UIS zlHg6L2I9`EPxTACOl7Lcii107bDam<(y1WAmD|sOE$ewdi1|Jh9Me^aEc+1p&O?dtw9PN54AInKlxg_vtE=)eKv;G_1d8^-<{pK7;=J zfa;BrjeSzLqWrCTd>r$mIytssL`_pQhO;Xa8|J~!oEb}gFDz~MDNbxstYS;0fxt{93E;RN0 ziq^37n$ER^mWHD1q!^h5p8%FXX}?sJNqQGZH6<`wqiohCEf`=7XvJ<_jJg=#&c?qV z19P3s5L|j?Q;~ngw`nddAgoy)*|BBn?jx0`^-O%w06WE5CH5CfkA@w5#VWf;ZX( zE({I+#}-@upRZPm$OX~B?0VY&HFY#!8KnzwlR^E9^&De(f=HPgIlzFGp@SSWk$I9B zyNnf(%rDDXp_EYwWDI5(tC{lt9*f(46h+C)+no+D}iUf3p|ERU8jb=nfVVT9f)hVy1BrDk_6_m5}4vR+d^L= zvgHg=qF*Y5UlDRg87yPJ^M(c^3xOOpxu^y&c)Ptu$_$MXQk4j?nno5^%DBcUc??C1 z#eqtIlpL|jhae1K%wPB5RF;FUitdqrgFE?_NJyCM6)z^_#PY%xK+)4GH2!OhtCPfVc}X5I(NWR02)0zOEw*|EX_@Uk`D63_Ku9tgu2& z(&ll1*-p7O3ku-Z^ZxVq>{77FCyF4rEYXy0iDt^V#9o$+)e0d6Z|LUz_E@RtOzj4{ojt!cWZd(1uI6wRSSV5s$WbD__5wLK|ofJ zEcP;MqKX9{_aO027H8_m7*zU$LT1S;UG6D0d_m7o+3Y4jqNL))vy+y=qU(nanjXxw zphMAeB@dsOjEN%tzdl0%3Ex=JhyjVMo5(I6?zfm{y($dtvtL(=-}**k3svMu4h95T zJU<}s2e5;eYA&B4w`?YY0ZkhYAmozlPt{p-UnZj$?@tDt2abPwn`D?^e`X}kZokJx zdWmtb4~XvC9ay)aup2s9{L}cu_eDLd1ryQAws%~Ta-pZJa>~`zbeeuJ_=8&EfIUew zdIth0tqGmOEdpiJuuyYo9#c@cnX%t)XYKr?aWQkcmldn~&;8a)$*`wy%ns*1mj^dq zun|<$Ry_y*9wn4d()}de5(Rs-%Xku z(zISDJMbCXGtuQrEKrmPk(Q>Y86?}+lio%1xdTiVxv|j|nOR+tkLn`Bp~|N_e*2PP z;nVI7+2W%slk=l19~&hfz_1yl70br1I4v3&s>LdgWw3v_kko8P0V4qF1nJ$N(ZhOE zkK466_;6Kj7*%|}aSK{nrP0MZ2^iu99UwOU8v62=ujW-Z?+uihpRXeOYjFd&pBm)39@`{Q~py8|E z;S(}S5c!9K0K;iI$F_M_&+zHm=7-~&0FswHCS}I0;Nn&-Di;W=#2~R_pioY9qWbl% z7S>H?g#nvpW?-B0L<;y)A$hb<_Wxgd-vJg?^6X2_IU`Y$N|YoSK?x!vNK}#-ND88W zfQU#Al5@^E=QzNS)4(tcIR^m|k)WU;qOS+_zpL)<-Mx3;yZe1_n}M0rr%%_ftE#K3 zs~VtDzu)H0#o=Fx(_KuTP;$`(>71gK=Q4J0lQnp&$Zos2R@bsjnvL1_Mpe1cmQy5D z>)1YVa7MI3ZmqrB&084J!gaXGW*VkuaG}))3|#j*MIBvt#I)XAd(PQS-g1>S>~oW? zK5Npd@tp}JbH0rU48syibfQDax0~n)&l9}G^W>K{RD30wZ*G0q6ZBn_Q|X&Mr|MlY z9-&0;V8wmH`NP`MHDrt85Dv3&w6f4AtOcIjCt;TaaA%Kc?Y(e{f9gzXQ;$tZa}HDY z{AFj+%W8V-W;nXOzRz<;(5m4MvVES1L1CtdUS%_NJy8M}PkN`Wti633b=!`7gPeKj z8eV2+uZyh`c0iOk>vV6sZn1cs-F?XZW!1Y8fjNWcz4hTqTVXS*46fTwU9Se_^`GFW zw`|CkOuBD)ahB0r-dfXwwkR*jVyN?G;?_`h?m&QziT`*k*y zaiS+K&-m)#5K(@PT(TeR)>7Y7>hZUT*z{K^G?uoW@4G`%jw9>B=)@IP`Xckfp?~3H z479PqPk5~gF4LXT{^34XY^~omR?54mzV*ApzUOeEj;!&zxE-fg?dDVH&a-A@yM-7{SoqeyoCUG2>0#=n5UwJNe$BJJUR~XqDdh9NgvhL2}9?_*D(L zNXjaLMq$U>&;>hrNws{ZNn*y@4~9-w#@hA|5E(-czHscZU_mBKTxD{K$=kma=Il{an$M0j7CbH#!^_2RlEju1LI$JtsxNB`vo?KGKS2+YB8& z4y!d{f@6}$BULQpGjpPp#rtEz7p|yEkL`|KrYlRLI=5rI(8H0ueb+{t^h4)mX zxUZWRH3>jW(4aBYW+9~2EK1a(rpCdSmUq^Dc@>awyMYT3%a-*`FK)xBmY3`7iOUp` z?5x3xS}%_wuE=Um^6BF))a}*GEpTYCRh2W^nYi3M?i|ZXX&7yIBEVeQeeZL|UGrOU zBM#3y4Du7$LTP&$MH~h)5lZPk@UsLIC&i&ciFc%%=(~fZ6R5M$v_z=2uS}JmcuaZa zu4`jFfi$^Vbv2KbxT~(LINTBQO=gRAqjx5Rwp$sk6#lMf@?EE?OvV@nT}}p`a1e%r zSwQ5YUUy5fthm7kHzO?*uDEzbA8T1E8c9?&ROf^kk1rhFMjNYAvq-?w(Kq)rm2>G3 z&XlyZ!Y{Fv&UWaAHQ&9BM*#6rQ4LYR8RolKn$)R^Sjy0H>YNirmY4%-BZv;AGVKrGJT9!n*FBM4oMgUYu4T<<7_ab9mObE3Aw9wSnW?llVtV&Y z9$S~H7GFnFe+=LCFXXWedgrT}t5v$80{_HEO+mc8H*<9(sU$<+T+)?8{{8xOafkZ0 zR-^>NFe$o`DwW5UyH)AE7fzF6NsiiR7L)E!dEW&Jg1)T;Hu(@6tY zg-zG#&UMO{uePGY8#x_gr_RM;OhX=>d851$dCEyp%^E{+a}@5e%Bzu)N@nyan9Wvw zzg{w2)jd0BTDw=WJ1<*Zh4cg++51cTw5IEyFhU;{_84DiW}bUSAt3v5M8ukhtLB0N;pY#O&$Xpe%ZT>w3I5tJQAt)@ynTdd({zLM~kA z^AA?er`nAA9>ligg3l0Sm6~F7TG-Hu9lml<>q%c}L zrrBJf3?(CC+~{5_DUZ=4iQX@xedN*b{Mv2l_r$xh9ILM$ki}O%q$T|vj^s(bMrkj$ zk<}s2|600ddqqZA4T87d_~Fcz(%sydm-_E*N1tAhz8pJIuRdHa!Z<7zwE|AZX4s@% zg16#q`hdS()s+>RDY$LI{2%#l4t&D6 zF5LXEQ55O_z?jkCyy}>@K_9GExzE+&IbSP5WBd#_;cltu^t|+LZb zbI^%qYh@YRf)7xA*?3jS$B$1WN|nMJCc9+XPX{HpFh1L9wNELppzuAbl5}5ZaL&y2 zk^inEGlgQ~X_vj|d zHP-knhW2}uQvL6OS4uKv~h)$AL&SIVl2siUJv;4Sl&38o&!cw+%*4SuMj3Y5CJdd{8 zm0`ho&W8|DNt+-WfZ5`+-bq4nijb%25^sx){g#}+{8bpiBljC;h41lkl3UH4LY%8Z zF3m)ELav21SLYB^j){r+s>nYY<~yH^wKsK5nwgoTpX>VLs`oYo8Y^Wu>gfFohx}>* zPD>T$?w_dEIF!&aYv-aT+ zrPUL-x6gb1zomsRHi!}_A{^W5v9!4Yo3^O~=v3?oxajh(oPC8#t0 znp%v*X2y979TG0-X+QcnhVpeJMq73;b6^=yz&%^t2I!Qxrf4T649YsgRBg0((W)@LsW~JR%2k5 zxDv%nOczp_%T}BAN}3;N+RPmjM|LT39Lh5~H+CwT14UouErj zInd&DJ6bdT;sRzk zrO4y^>(sM~Ee1#I3tI@LLhj`$o}@u+pO$;a*1lP-oIE&~uhU0F)AO!N%HWvBfO?`Y ziP?^Ev_7+Ysx}d4?O@vNOrkiW_{c15ighG>Q!)kj{=8kZ@t7xKg3k~yTyG?|7@hLb zTY1vk%WTFEaB@W z`RkR6mqZJ%vT~|t(w3`Ca$mkotGl%(3omFswL;!P!GBsM=%mmnEqcnvOAOuI*0_&d zdk^I84p%MRxbCrumIP*fyf=NEv#L#Sc?jF`m}t+3gSmOa7=MyeuW!1_6+<*1ky72= zD|I+sgSBpXd#0IXm!-w%<;@Y9=$EJOXAQk4J1Hz7!N-jA5|-tp#=PDXcuf#vtUUa_ zjwA>E#z3jR9?OUai~3ojGIra9WOs>Kt1aVh;at`-U4}zEiG))x$M$uX;+`cfURjE; z(bhNhOm7=oe?3|8kSUkaBEG)0BIVIFF-9t;vyT>TV$Tj8oG+ArT^8Z<>{(=DMuPXX z9x?>EC%q*;I>>OMtPM+fC;pOGy7Z5ltC@3T>EFvO$=8TxQgoLD&w2bUoIr($v z6_u1PsHk32yL?$)L*vR((a=!8d|6HPqRIs&#q;uVveJ^`XM_a>_;^lnu^yu$BgDnR zK>N7=e)sL0t<8<~S1(sztSm3Dth{*n>h;#!cl(EE7?{|&_(UXRl+<(#%*Q!SaPyrO z78RG2Mp2ZPmyD|_~+$fC+w`SVIDYMOe6H_Yzbdtm?2!NK97 zz3qehHutPSxp(iLwbdQ-+a?CO8Y<_cMEGz%ZakkF9YPL`j8D%kE-f!TUznX78SL-r z>ged~=^GrKnqOXfy}k2p|05a(7A^rX85Qj@CRTQ?lRSKI)*%thUs)($RiZciUO+`nUb)5PSanU$Tho2QSj zuaBpj!(C&I^P(pi$UN+=EbrR6`UFMBr=(|QW~8MgCC0}_M@EE&g-6CFXBAe|Ha54k zwzRaiclQs^ym<2oi+~hBVq^jmJI;oZ*aNK9f%dQMSQV;5p9SJG_NbYWzkX?_54#yDofHr9$l3a;^AVY##t<} zoOpPs;~gC6=@yVXNyLBY)_r@s`*v=DiA9i(?vBRF!tCs#y6(wWd+6A>cm#xm_&8{9 zm&Orr#OTa(pmCc!AJH)}4!7o!u)d+$wKwnH@9yq>#v&xAJw`{4Ihn3n>;C98YZkV| z9sjtD{KEXq_`rvkxzHLtn1hy6X=;%#4=^!5yHjOP33OF4Sii%S`nlq1Vxv#6u@m z$ryQrPEu@i)%`@kl6ZEPF=DiK%WNK``9fHvozC@XZ@TC!?Xn+u!;~L`$)o zKKZ$x>a5;%ebqC^>DYys15&SAm?`12C9+(=#ts<}BRP-E+fbbZf*lD_hso6aO z3JMZJVlpx!Y;+84%)LcK|KuhbHZCCFs2nyiY~>rc z>2qj$A-P5Afx57~YGJ>k=9b!`+^n?tnE3SEob=3!p7HVC+WeF#f0sL2eA^-1XeDPm znZ-SkAKa^5JX^aI&4t4;yWj6DkGABcRxe-?5s?T8v0)B&y{0_L%Rx^?MbF4cO92ct z9{M3BF&z`rF&ZjrI(jPH)%Nnz;v`pXBac8=LyMqD4U$jiPr%i5$lJ(i*Fq#6U&?zW znH+2=UJPyKd!pGo4Jl+bBGfm599>}>3u?2Obj$9YflaB-gC z;p1kbC&%BL>Kj0|rg=L)vbTB~oe`?Z#AD>@<{4et3-74O&&-GPkB*Ek?qQ-W^>j>s zKz|LZD$0(HtU=>ZR#TGVXCcMdd%rsmi46$!R3&;x#ZJ7zIK$%+XGoRJU{lMoj?#d}8PtlatYGUC$mvO?S^xsKt? zSBKrx*1B$fQ}^oqpu*wLq}1d%8;FjPcR08h2m5>PcHSLg;^O0CaU0v;po|b}?g7!5n&1?EsY$Z2WmnP@R*Cef&9@DKMteg60v0}}(Am=*|`fsIE*T2bLNIT`^AznFrS_N5DI zYUc!xlOC=vAo4tJ8C|(#o6_7rv~+-thfhLD%fQOTFCrx;Cn3NiqzTrsOPacRdb)ZB zhWZBAZ<#;zdgg6=)56L5uJH|PN5@+dV11ys3NfytLp+CgP84FWwWrVhMI|JG z-=lOzN7vw{nYFX0*ZoUp^&UFgJ2~GsHNBy&D8bK0OU-%qlA^SX#A#tABO9kj&Mr@$ zy1Bc#xjuGz>g@T@;+Bn9SZqW|n*13l)f?89=66hu%%1oKhk+6r9Ow^PczF8x`$Zwo=@EUeBE80OjNEs3WO8hl(Ysi7$|;@J%uLr<^Awl=Qendu?kk@+S0Ihk4c1^I6G(6qS@$ zlvmc&)Kr%i7i4FoCB?@?#;3(aw6s)}Rn^piMF-wlU077s0L>1`>ZnW3C@TyXG{4X4 z;3Xd9gNt21%WLfL$Sa|=wlXg*zoslbtFp1F3EBc}Y;J-;YRXCqbF;HD(^FH^)6+Av zv$N8Y6Jw)8J$(|Af`Vgw^h`oB(vy=CVj~0mWAjVPYa5^~%`NS1t*y|ehMLNf{DRz! z%=Gx|#ui9NS2rBd4Q*=c?(Oaw92tIbIG+3iSJw?)$k69 zFQ}}pt|%_4F3+#%g!S~odb)agyE;2tp^bGlHC5$hpp>IZSy65#7;%7iWLjQ5G~LHP zrL-bHGb1%7HmkC!rM;`Gvm2DI?yinD;HT7-mzU<}XQ$>jG&ds`-n^OZ@9FO9>H;k~ zyJpdGcDqXIA(fSJp1BCEUf4P&-C^6_ru|R zu-=}o_O_PB21spHd1+xzepy*%+s^xgo%ul+3^6)3is)+VSwh1nIcTYBZbeQEKYu+@ zbkQ^^rYdB-ee`Z^ZEjs_Rdri$e{Tt-E6;8oKn(Q3`n$W4<3odpfx$rpyblGav%R$i2)wqUqByGv(l+u6 z8)N6i^O^C9`Q`c9xrN2)l|u}C60|q(Rwkbx;vFtb^cQ=nD!3#(;lG<+P!4SW9}pU=U)jAciMr7gt}-FK_Rm?Z5tjfk{YA zNPxNhViyN}wz~&8JOYC>=6ksYXVuq3pzVmU(P4mPVjM7ZWOR5KIfxuY6*zpLufGp$ zliFLGfR|pBmz9x{n3Ry1lF=~S7#7hqJv}}>H9kBvIR%~r+#P_U0CfRC%}_{fT}5fz z^u{L)98#>c$@!OyqtD;2?_gnKV!vBQ!y_Oi`nWhTHa0f}Yi+Em>>jKuDU6TJYwc}A zOdy9w$HvCS$0sJnC&s@ZLWvE4`Dq z&;-zg$;qin6pw&TjE#+SA9b>H07)C8%A)PWh?**7#X3d@a$v_gkx zW@n}*2M2(Zk;tR@2?Ikw%}`kX#M`}{_dDj#4v80bd~4-NNq_QK$` zbybB$)z#&tS(zn;H3c5I6N~RQ#{2q5`jLPYwfTs7Ky7fMAKC?}8=jpQ8ycRTnVy-M zn*p;0$P2|K@HGxl0S*Bkp=Nb2Fp|AJ-7xTi_4UEwh@k<*@Yn9)YO_rarJnKx{CSaRCOl2Uz{SUKrp2d|+q- z(cS?Y>Zz!1>w^!DArWAbq0A7F7wXkgkWpA!1F5ep&Q8pzD9g*OXsU_3X_wQ`-qi`~ zgCl{78AA4V^nu_9m^?${W5~g=5#$uIb#QKab_VQBC#Q~BH3_t60!(4lv>yP52$1gU z0b&D4fG)LxMXIf>qYI_EoxNQRZLR6a_06@_P5ofJ2$X?`^@5hYon2k^1v$ml&Fw8U z8F6XFWrex9B^6mA@f{O`z3p9aU_u9h01%zMN45*h9Rz%MxUpe$5^U3FW&ww$rY5Fl zr>DTg9~%cUMFI;1mH`w2pwxhPM_W5sG@F_lo0^-Oo1o3@-5ot$y~E|c$!+ynndJ@8 zE;s@XR2j5HeYLf>H&)d`nwndhi!$;{!D5&jAD>j%iG;Ov_Vo4-3<3=u8U~UEGZWs^ z(b^5`Mu30cF+MdmF+DvyI|0}O5KT@2vp712(q>?!ft-4KdwRf1*wN7rP(T|YkcN6l zO;vSGT^;z?+}P2QmR#4_SXNdKt*V0|K=Y3F_7=dzHh{bV(%4W}-_TxPR8&!0RhbbU z8=Tq)gMvs83=Xsg$O{M<0R%7r?`dfRD^z(wS8q3B5Q!L>o1Fmx7GTD=KOm>gwvM%Zp;-%AzBhTA2fOF=)Rd%zjL_tv zp4Q&x?zWEp0l?|O&hBRDk+G_)sVpxkDa|V`Eh(>pG**{a18*%Z0n*S2g?4mw_x1sG zLpc+`IRJKd0N&Qz(ch0ibixL~EbS=E&8viu0LwBl2^NpBF_bz3R-zVq@Jui8ZGdM3 zTs1J%nu@aG!ovKV?6l;hh}f{?f!>yW5J&2OA!Zj}E)MoILz{q@>T0U1DoTn9a{w3f z^J-h0>RREgnNfwUK%ao~2HdosZq!(NVPN(GB^?B;?dj@fp-~iJ+ zI()R!0}VQwF{lX)JR9IiG&eRj)Yn%5U!o`{D>E%QAvq#Ez_|#~3Y4*}6EXVy#qvZ) zZ4FQ|lu*k{iwg5{Qj$`#Gcqe1z+f7SfsJl!0RB`XYB~S|+m3SMdVoa-_5?5q2JB}) z;K2~k!$AbJt_ARGa1hvLfCm`dFTMwuVE_+Ux51j!2;9c%^77)m-1Ll;xcIQ>u;5?= z@6J(VcWXNcP^~Tw)EAZ3G}PBtSCkh6H#`S;kTJ2b$$3RZ)sPCHbOn`=#&&2$O#`H% zsR7K>mgd%W01D_+A9w+y1m@fTa(*5O%tdok3z&&8Fvo#;MY&}FDzI-ye&3PD2nCK` zb!8dQo}7%tgy`^yfUq#Xut#ULVuohB`zGg>md9K3GOHSZcUV?bkPE!;q=dNO;9$R) z>YAd8s?y@p(o*1$_Eu+=R#l*;Xng~4*@5nZ`G_hlZS9@C{m7BY<>k@7q27wBMo0s+ zwG*sSJz(wu4-pt*z(N3~qXW!f;P=&6Rh0o*WrOWUOjKx)zkh(Y-!t90`GAq>`K^`l z!H$OfoH~?mSeTock(>}06&VruEWpdJ5K>WDQ(csvQ`g+s*&H8NR#H%0R9aqMQBhS{ zQB_q{U0YjITT@eC5A7Zpo19*JK8~D(73PMdh0iNET zPEq*2~$#-mz|!Glo%Hl75psF-P_a6-7(hQpRQtR zWdbn(ehH+gx~#M)FDES}E+!^4G|Q1yQNlNy$lxsY&2x za$;g)Tzouu#U~`B+6w zD}s`j2exIY$?>S|XF!0jr;nYd&($D%ch0)r{+?z?PD*ZBX<>0*c6M@dd{lHuaDdlS z=O^}eJp)2BN^;{<$|~}Ut4g!eQ{v;I!of}$l+aMH(+vs&Y8D(4k&qCVSyEn}n^RI& zQIZ}T8W|rQ4fdTVtcif%aS4e@$zUYlA~7i`B_%a271%(a7cr4x!T!Gf9`4?@P7f?Y z#ZM@e=9QNvL?;2hgD_)iVp42ubXZsb*up#Azkko%(%d>AE6pb`zc3>UxZ!cpVSxeu zKA?Dk5CE#Uql$;mGe39#=;W06#H@nC%*1G4@9^;8(2$T&fIKWL1mFgsLqmc?Kmi|6 zwP1fA8VvUL{(eAIE=~_@A6~oXzMtZj9-0*G<`tclo}3aJ8xtN88X6WH=;z_?_Ta9? z9ZM5^J%dMHuAzCEKuYnk5usq~{lxjvLwh^xyLT+_T3LZSjP<<-4sK7(EZm*}j)jDW zN5qC$SqFyt`FeSJdHMMIczb#rf%fw9^z`uXa0gf5%@f@8@^pRT>geQPW&iMorKOgQ z?l4_wkXxXevtLkjL~t0`^ZWbzdii*{xw+Wc8W|es8{IH9IInWgH#!*@iI5kG)>05ic`*=Qb zd*b5e?BZ%~|Ip^%T~m__7gSX*>wr+5g(nDz1Rn9s#mUCp^yYO#J=<8`*y2QuL zD)YE~fxMOGm2+n#6_w@B%E`)rOrMm5s0hds3JVAb3X6(>6xo?GBK&*;{M-U( z1o;Jd#3WvXQe9ONRwT~c=;SR zJ;O->UJ$B2ae@;>uUVLx=s_-wmX4l*iHVt&m6?H-k_ueX(y_2IonmV>eJ(7*Oo~gx zdz$wY2Ma4JJq;Z#Eh8iSG4QV==H?fdU%vT-O+w2+Peo2aLqiEt24IH@Ql;c1q~su- z3WE5kf~ujRr=w$JVq#%o;S%6sKPe_BFDoS@#*B?iMNdmh$8?;9;TSC?1t|!$;^X0B zW8>g}7Y>L?qkq`l-uaAy0mATvOr){&B{a-!zb`L}Ds%7ZNjytD8D{5EHX=ORqL}L0FxNih`V+l9mb= z4SjEBaA5}|SkVr4w>Mv{E=>=DO(AOA3|8cZ#-_TmqTl$jnK5)|a`?wwp!8Xp#) zTiMXm`wEAgfs31)Ur0>lu2*1GN?vIVv>P$L_@Kpi(5{x276v_d z;&ff_9D2noSWR9vqQAIcc(c!wz>D2`6|KoeAVL7KlBL7{I$iRC8OPO#lUn9(f$@b6 z&9HTR`cr3hZr^tgh>TA!szYsOI{N!sYb(H_T7`<(Ra8^}KQB8mJkZb6)zuT&MqhuF zt#tPU=Faz-hfiwut%hPnUnlj8$^umHDxK8{^oPi$+=4y4Qp&69yOEwAiLkBBzN}E+ zCzkqG&hgP;EWx`vTcDk=*2?;ceOyv%dRj8fnTj|M0TZf(NkPBz{)LYubo4X~{3^E} z`vitW#3pBCXCy|3$Hd2k2KaeBv9-Fbuc@tXps6S!3eEOWGARa~f>kc7r24LrU8XC3IUUPbRP6kc z7j&-Qaf`@nXq%cC8$p2Gb_b*+3q-Th5`oVh8l9A$k&#tUQ46+Z#d%q2iIM)!H0&~$XNL}D9D7Z1A}ZO38#A|K2b0+v5MUe%&2M`oSYtN&JBHf&-ALI zAouArLaam|H#fH4Y^^Rl-}(%Ka5R!uL5Vq4gCFUHFWq|N6B3(VT-O42QeaMC0h5J= zez>=@_3Fj*xd~)%E2O%jqO!KJV_s63mlNxU~d4s?CZD z33~SQrsk~>=ngp>uc(~Ht%n}Z!V|NKDj*%mg^dsBm{^zuczC!tSeWQ&pZ4FpoEhw> zD=RL8^iHn4dNB>FFGx#D&d4jNsDU(t4RBRnN^Dd_L`+&GY<6{dw6zrM8WMpKOUuYX zxvd~p(%cTV?qHV&wqG4>%?;H>83~c0f&PAe&jN#kp85It`+M46Q;<1-#mL0Sz~q5f zXiP#dwlv6{5&i~+e4jwbNl!d z;IIZWE8B4TpS!cA}U5Uc4lesm^n`I@`2MSr+~#11&get49M0g$)0AVAiyU(#w7@BCpgL@0~TRXaJ=V?g!EbY zbMj}U#6*O^Ar^s?%#`>TpFX2w;o{05Ynh>ni-`S1|*fP+s!M5>^ou6Nzs>OSg3j*ZQITRVGj zSi{N`coQ;bgoH#SWX~&KRMXJbGcYnXHa0RczHVZ2-N@joj<%MjhMKaB01GMF`qGOX zOk(O|sKpd@wuOiQ7xVD#tL4Ro#l^+B$>IJE5C8^|&9;sXur05tsfB=DNKH*c*Tfbk z5d|eFKIXyRAvPHU*J&|nIb$PZliQZ}>>M9CJ3j*7k6m1x9qp`4jdV3sRa8_jYw8+Y zziny#;NhdkPh6iqb$#;qk%OI$^&Jb-8wQ%n5~t`0K5ndSeZr$;WaH#yW1=M|#KAb+ zf4_Ht1`Z1m0chxZ>(6JV=a$!ZJ{*4Bd$YDUJux}6ym^2{2owSM6vWt{-tS`&9pjd~ zps8gO^tZskA1i5P(I(m9qYCsq3 z^ZTt=tE;cJ-lO3VQP457adL5SvauYa0jDzX@$m5Q362h>5rZROw2bULqOupR=-;%k zzW)`DqZ1I83y{bcNC3lEcDOxtb$xPFT!FYyd!MI3WDg%$nVaZqs-Bk;=HXzXAt%Dc zL_6GnxAXSRn>TNFcHiwCd_u>>!6zc40$v&y>aZC&=61xpQ(WxFnHd?5(H~=A0xl=F z08mkdiyAsWD}clNz!tT)I^qJ@mw0`V8A@zN}Kxo|<{BI-n)y2cevE#OV*>0SMyT+`P#Ff_h?<0i;+-?0Lo zJJ_QD5xIV$^3VC%@^AT*8~{<9-z|T#i@&4U?_&7r#@|8hzwF~Ds{duhf7#`Kx4{wR z#-p>QvP~da{ayJ(SU*$zo#sC`1T`Qa`5Wb^2PjnT$AUr!;=SL>?+`kw{-xI+S{)Jn zzIME>&i7oboe z6WQ+}p-`SZLIaKqADtNf!vX+;GsU16nJ=hN-1`a45lernMG4`jY80Zg(EsoVwD|(& zPr~^X)}w(Pk$^SiDI6yF97{Eq@IaiW=WnJOIpB0$+IZg*)Fq|C(Q4 z>%M2*Ss=&8BT%wH(~giGf&13!_pN_*g+eJS{Z%zVYgrVY=3h1V6`b$Upal3`%}+D{ zvjLNiM1I7KpBj8O;$Pndr^dfMfMVDe?fsG1PjG&$_&s_*)PGgP|ES|H-TbN{3jB8i z_>tJ3yZ#Xp>Zzl;Z|~of@mqIa@BJpGUpo79#DA;RuL1o+^FOe@m+)_O@bfJG%~pS+ z^2<<v|6!B=IcL5aOfb4XB=l!*{v^gf`{1wJ{Y_Z@JEZ@8=1+6rpC+X*c)sZK zpB}{j&4zMNuqvR8`u`rM&Yk;iUNtw@12Dk6|KA+;AN76idqDDX&@b-5A3gIo-ur<% z=otX|%A)T$^*7S|gRXwy1_}WR&zI_-vHn3%f6J|3c!BEf%hfkDe+z-X)X6WL`0^Ow z$2SK3rGEaV#=psk{{@}-n}+jmH~(_rUk?1sfqyyhF9-g=;=uo&@B4df{$F#(e+SUN zcz%a5U#tIN{Q0LT^goO}|MM8zA8W&3zWWd3&p%Fm{s_?5aOYp<`CohBh|0G|zI^<4 z4c@fmqC{BfKA#@+96edz$y{h6MiO@GkpYkK2ris-lBe*f_= zsDA(cZ{GO<&#!69%6`iieMuUDU+jT`@5ZCQ-19Xz1Tsm#l;0%q7b}0s1|9YLEd%uh z$G zE&d-?{sD~dZhZ&(`-{H~?YC}0hkros&)@p3ZvHe_KnB(J&r|!aTK-mVe-h2tuK#v8 z-;eGH%zsAlJJ5a^<==|t>)iZ39)1Dy-Q6F^e-Hlm`uPj>{~7=H&-_mHU+DOM*z^av z{11Ek_wnE6!2bbj^&A0sUd)>VS0xPBhO;r*wkO+la!t1F$+kV&wx^SAYcfwZpM3K7 z{*3SX4SVgi_O)AU_3)zoHEk>ngxJ0%cQEj{@v{My`jMgHM6%P(M1|zWV0gIiEQT5e@=|PTC z^3fOCzLnhw6A;!ghk(y|kybvs;8&h}s5H&=(M<3i*b*`LQC;2GhD8+U^HK`#HiSij z(w#M708(xUWk^+rMHACrR+zl7?ss%sB90IMs}E#^Pq7%QM{@Nm3-#PJr$$kD4jMPE zxVuu>MxO5|t6hC!s?YcES;ni`12Z}Ns<>#K z1+33`oFx1nBDbvXkB|k}cDz$NSHr{GYf*pwa*Ja?fvC!IPS-}DdSf=8p+~L74O~Es zNTiDmB42*0G2*mE0$?aiOy9_i;^u7G>%b_UUa`{1(+r$knBPp2I_cqMtv-#(VBp`A zIIEHPp*)E=rq*EU!%g@Jl=EaWcqW345CzQ!&nK%O<4n+^ryRMKB2~ua=EOB-H9aRq}P_|p)|pY&D=;Z|~dlEywNQDjM< z6{ytI>?t3~UgjGDIvs8?#^x0`D@NLqJ&k%#Pg3?sM;<=G(5r9*ylD<`8hLz9D+Md& zJsu0VNbp@iLNR8$$eP$R>q(vPDOiQ2-9jr(CGEww%lJ9%nQJPhgM63*~uoe)vi##qZIuYQ(F44Cj+ml26;xfaR?ETqbM$d#H?9& z$W9dBR9Tw$pt8XD3280$r$W_?^g|bou~`yVtNLmS#9o&qDTRKpuW(^XS4QGQn(m~g zpd;#}Ujmz|qXx+TcPl=6Fa38bH~fz6u__w8M}_J!8#egSvaT>-}x3rGtYI zcVUppw~GrG0x96aH$YQURo~5N&TK}?o-KDae-1&NaEFK)zu*aruPbGtAL?`6%nqX zYd7w?&5k~L^uP+}DC{Y`qD%9b2p?c7vdob6 z+e`HGEjIe>Y}65ygrhB!nsfAd$oOGarBHrHO0CeO&MWQsB?&0&LrOe7Q3tM?n|_HaCO_yE!Wy4L_Jeuix)Q#0tmakGtj|IxCn=HvnQ%=NhiTf8NL#hF2Gx*Wm6m6PrI_zaR_%1p7tgNy0`VTpS- z_>gR{Ubpkgtz;z5kHvbs1`P`9l0o3-@=yXJ9>mN z$#L;G>NlEu-sndfnYviND0!o>q^RDa6G=IJA4iomRCh;NgAIhl-#n#ngK3ltQAo0s zA;>4WHLH32BPc{9?|Oy|0LGeXvLMtRHcSzEsWX!~-1Mknoz%?S%rY@BNt10P1-ejA zB$OPer&Kq{Nc=NZq^@6UE%dt&6V}nX7`=68FY2B8cv#9aQn9i0NL3gKuikZp0;M-A zTB3tPxQ8N45G&$}luXNIkK32wC|cEaIA5!s(+l~C!SS3uvh&4-6R8QL!P@5c9y?9r zK%lD+Xoz{8{{d7b)8AmPa)x{L- zoMLUMsY2NFc|%WdK*2vi}W00^1biNM=T|qWhEYn!Bnrz2P8QI?zU0w4$aQn z2BKX>-j^%KyE1=M4wVOTrqxbeiZOqY-Qs9sNPn=e?dXj?(sxvCrTYknBMA59+S*D zJ%}b=IVi*%dnzJEv(1ax5W@DmlEn*+54M-(aXSbVTk4TJ;lg*8+dSoIhkP+sWXPw9 z#hl}!@&5RZ@_3O@zTx_NIW(y09C zVJV0i(yJyFbxKDY4qQl1NI_}eOh3NJ*N%&wHCJh6J4 z+J&x<=MBO9hS-Ug(c<1W!|F$cAUT>~^jotF4kyy+UeWXSQ1p}(&fTV%f4msMMn83RW!YD0Yh}w z%9;0>nU~K*q)cl&&BlwuLR+5yn4NpT;96#~HG8F+Jwd+-!(tBMtDOG#3Z*8DCf4~# zw(OBQn|>?OYd=flW>0M(CH{TmX+~&X?2B}JaMXqTz=U4BpRk+{lw7qde1#)L(kUc* zO9b+?XF~W?ZmoMAeqIdkI{REW1X4v+$#I{2)TSdg*HV(*?tr5gb-s(<+_fr9_YqkO zF?vI`MVuuq_XgtK-RI`1Z@VrZ^o)3~no~#*BcEKB%_9ag?f@?C$2q@N`G%T;@-(fb z873kYJqnI2!^j~!GrLW@#cb<6Rc5I?}p!dXlFSNJf4A5VGNjUBI zJ^V@CDCcsr0vDIdE|13R`D6v!y}MU5B!eh0l{+sM##bya$11$$9L~0^dU748kWV9& zG)_c2VUY27NX&lH(|#h=jUCPl#UsAXAdbGh1Q_3`EgmitqdWL~O-M|HwI61d<6?%l zJrdm-)1xVT`5ZdNt(7gxslq3oIV_M88Jwo?Ii5AMyd|!c9O&VBx)hGMUQmWYIQWm) z*^1ZdeG&I5B}OS6^Bp}_9h#cy%+8<7+bhcx!kEBTG3h68(Kfb%(UtZrgV0T&3f8PO z10?7V(LZJgo9cBNB?BaQCwb_?vY7RlAZhA#Fn zN_l%DW$P?-bY#*+IX!b_md~1oJnj%*Tp9S$t&+^9VXldt_si6UQ3v)%L}e?dsh(pO zP@mzwLm^+pX#FAQXoV351dseGhr`Tvb*mvc0tU0jUJzhuG>2n$)jO+LD?=2KahxiM zZs4Z>#xSna?G{^*9x!@lLkK@}H0ad!-dSuJh0x9V-4*MD?UGhFfZA?>;oy)THS_kO zHL>daAYLXdYlMS$03mCnA7OJKnjxx=n>hEOFr6(w=ku^ zl}IQEw3ox>FAsn%Gr7v@IMYIzPJ0a2feA-(b(=Y_kfs8SFDH<_XnSn)JR%;-QaWY5;Ej+Z#f6$N}`c^c9O8pHPv zt?LSLR0`7TOG7Q(^s-)>!?r+M&NSedeWP^nFNeGgbNS>CjV|Tk@Q34z9p=Ck!qBGf3lUU=XH7`ARIJ8E}h@OhF&X zbR~N;S#C^1Ql{@R{q8YLaFK~sf;`HoV??1|CcCD;IM`#^&Q4XWF03@Ceq3rHYk+&= z2@s?C>;{sT;id%J!LDEOYvA?9OaTdN&Eg|L#N*#xWySc=RC7fvVI`gw+f;|SxByh2 zsip*PDEPGk8$us*vsxijheUeAZG9Su-DDjBiUvv+&qHnWEKB0#sLJ7(S+fho89rTr z`6^^w(Vmdd5d7z!at2Dk*_JbdxK`eac=W@HWS>FU>}A9p>}bVx0)@+MQJi%g?u{H+{g~<|It$Y1Zea-E!dosTyA~9TX?| zNYxPN+WN2A3$IzJlQnyU%NHIBmi8tjNv~K$YFMz@&J-UmoGy(=cIb&*?-Ph{RN&w0 z&?cNaFX7i4eDRb5pdZq+C>C-p2*)=VMyQCyhMbT?^|5W{j^7VhJ(7yZrCqlcx`90~ z9_z?wj;6(kJX zw+>?_f|f_N553fd_*fzt2sdf-Y8bFe=~&g<`lP-;lV@!zJW{K#jYDbVHFwQ>(kK?7 z)jO!WQWMOx@A{goH@ohYR5+@KncNA!SB+-68$XC{0V1t-D)jJ}xLCJC9#qYaC6}C7 zIBW|^zzE?`1#Q=(o*X!vqV=3G)+!ruG|rE@0us2jU5$F^>Fn06ZDh4%C-$vgkorX` zO4Z4L_<2s%vbjDy@gfJn zEYl6Cn1@*v;ql|ToW8L8iwibkk`~$iTdjI-{yLWxp?no4&y87%0KBGfF&pv){9&N& zc4}1dvuuGb#{T6~W-+Y0gtnLb5LhhR6Vej7D6x86ua0l-tLoU7AwQfZ0jgC-QE6$R zZ+`3oeh4a4uD49AJjU+E4oUCupgpA9J{^oacEF9`g>ImdN~OY6~u4I(WkCP0&I9vF}tXxK~Ug1$W)<)y!Fb7){Jg_>dBZoK6Zpb z6e9GDkICPZUWbO)69x6dqgqr+BLGUq+ms-D6;jAwcQ+ov*`ByX|4P)4PX zafCP{!{Jh*jG=}nSO;cUPp)I^7LOM*2t8%nf_#5*Pql|{+YKr_fu)MbJXG)1SNl5Y z67~k`yJw2d!R$iqswh4d94(E#{LpfTLyj9!b$@%J<<9R1@KRcUEDtU77@d=G$fD%I zCzBH7?%eedCI9DW3B!ZWxylMoCOM=FgXZfoSwG~fPyL--1MB(Mt(T@b+2ygP6ti@_MAb6*{cXlDw0u=_bBgi0u1JuV`c zIQG}CQUEYMpTpRH+Sg*pQzo?Yqy$do^w2nU)dXsOCLwKGk&M!++HhuVDQJTX-^opVKBbpdJc_zxb?WEuvzA^#H%l3J(!n`f_kTk!m48@Pk3<>jGI%^Ld3`< zQ>#5))99q4p$UIn@l}X4NaeQvn0SwMy-;CgYE(AFU0;^Zas>vw^wq_AY4hyEj3oC` zyhhf&?`;mt=zb_U$`LEto~H${anE>y{KO%oFgiEHtNBsg)5L!wbbm5Nyh1W&qzm2J404(pANY z2kA%4)EgP7fH{*TRc=8@)dw0HFO(A~l+PsTUZi)tq!v+YUuz1X(!YcjW}$r_Bbh(7 z3nir!)PB^A00=-YcI$d_lhV>4lyeew2*-n7%@GZs&c6sPIN*t1bSNxfSFMUsXDJ&HZAdPVs)4ZYw@pv;>^Hza#oYR=~4agpC7!CP;T5Ii~oJM&s zK1L5u$-JH86wedt%#zKy`P5*iZ#X;l@+0gUa>GMR?fU>X-izRl2*VKmM!5$w&(0Zc zcxw-fp~#F)@&gSJEWAcl7Iae1VK|`DFh^oM0S!h#+-DGtFFL&p6_^1VgotDDeyL^#`TZ)Un|2|lOgLn$a@JJ1E2|HTcu3v z8pk6$Hol5Ifs)x-q}6rY09D=(+ZCEsh^Aw*Avjo(3HhZ4bz*lpO>DhmeR72IASPHD zG+NtvzmDL1P@DUTuTrNk`NC?)3);S^Yf=$ROtj8i4@x&L{(@a(!exFVq1ds{6&OiX z*&(CjWSbdlq~Fq2ebt)+`hR}31GzhFW|4c^j4o}oI6R5pJz#f8M26!Br9xoz7~9=r|A z(83gd(kq5jEW&vtIohzP}jtveea|Nd-IME6Oq4o z1Q+!Q2zW0QdKKDje`c>(Bv?V2z=$x~)SS;7_pd-*%-qwgQ+4kM(IQa9u^ma6N;Lqn zc0U;wHAX}W{C&&Yi^P(vvkiehIs1=Bhe}}b5Xm7JjAiX(B1vWSNR`9;tVUV}w+v`H zJtZEIrPls%9iqw)tUShd6jnm-)nYl&s)88Bt;NFCGIWbNI(fZ;pNs)QxZr9{p!^WE zf}R9TSS>-UK>hmtYpv*pRVe3VA=pNSCIKtA*i;u72%SojWl`@$Sn`@gtkl}@WK(<| z?A3lmsMA7wI^TtQb{x9FsiGJ>R*Kdm%l;ad+%7^)yOG1VqTb$k^r0*pIt1w__ul7d zH=T1o=9xp_kvX`x9W_0*vMNs)@X_}S4aX2bnOtUoAPlAU>am2Zr#VNx@I2LEnvhpd z^J0#d>_9G49T9Dmc`80M@n{pY_X*{vhJn?ApSo5Sq6bY8pAc>@hY~z9Oq4P=Z6w~Z z?wrc=YUP%?;3G7xC+r6m>^$+v!Y@*WlYCSJu=+A}_agMLI{kL2VySMMS_Mybglm*~ z9X|CwS&jGipr5-=D^^j;gBhPK7b{}2ZVeZa4~{RXipN$dQy4|s7AF1`@NQBo)!K^a zQhx?UfR?p9_XcwOV9dsBrO}BI@IkMbF-jFyyL&~k>2Alj<7?CVWnqnt1oNxdV&y0S zmd2R^KBGL=v@Tj0d>g%t3e~<-wGFDkoKNve_XJ zVjk(6E=p$BBr2f=Lof7hkn)`=X_`$?aii-5^MZTZ#E2Xe3jb z+D)5oAD6rw)Y>TtXm|rM+B7)yZ}-M%8~)Yx(SQNsQUDh|Of2wVdW($C#zogx9kb{P zWcJ-wwAmh@NH0>5+0F-~_mC5!KV5y8-mN@-GO1bGJLIy~1$N|mjv=TSSx6@iI?qlw z;rA$D_rfHkke@a* z@jylHTS}1IIM}0$MMw0GqUA+k z4zT}K@8c$Yyqb+Qp~fk1eko^-KwGiu23d$84@a-+^_Y{p+xtx`MW!{C0Hb*vW=AxGOMB^`bc`*nzc z?FXALMIwV!LrAamE^M}|G~#Sd%mE|y{@Jd}M@5r$h~I+`sYHQQZVTPoN}sVOr-9yb zkc{TF;q7T*xF_fp(&j0O8QeKgm(h|K z=*%Fbyc~vkGq~M6shHWjtB97wtyhIYlLI@udgKJ$g~cm7zV1`^XK&?aEM&r~oVcRg z#>CAzs=#fyGn;Siy&)gv@Y{`mz}&@S>j`#e#-y=*%c>yHUtPt(KubnW`Mk9^cizQ* zAvWScBPwnF0U@{{pPc!HLgT3=VYQ^t@G;>n1T1&?W-$uyUAN4Vv5TdR*cTFYhC0v zBFBfOPP%wewTIH@x}VCv#HF#sDbM%6g=}cX)R$Pgw1Uhnv(x zPF~FN(%bh~#|u<^B8*T|+uGmf04pJ45O$(XCAU+fCZFyIF}MKjrDT#v9hS^F1P%yxFh*ZK#+UA#{z-bJLAVG@>M83$`x@tm z_0k86*V#Gs&N+N4#2f@aytI{4V^$NlBNNhwa`3X=3oW@EsdfgkS-uJuv%o`ye~J+Ed1i(MKqVbQ{u$B5>+0mpF<2foCWh(~ zmPQQ+5%tK1(WAY8{WF4+Gu<4+8DZ`;91IC$U^t}d3&zQpzs$i;{3aixXm}-L;YY^8 zj9t0LGumO5DXu25iu#rd?KNOS2tM?g27sF&QDoFo*oedAz%{elA_SQ#w$Y82AI|dq zDXbw>iyu;O%4!5N2o^)j%@*plL4d&&E*Onk(g4mIY;+c=yihk|Io)*GJ@}#Nwgah^ zuskrGZsd{`+H_Ri?trdrWn3ggwQoA?t$CzdQc|MJc7RZy?)d_jrs|08vrmk|_J(EP zK{qGzdBk>pZ3vshn<}&C=?L#UJ;vwk!w2e92z$IWiRu>Db60)+{!RklI@W2PA%^rF zCXEpj-HSq0MPncDQsVT>5TC~|=UZCsZdwCZ{O*0o_|ie`D;v7ZrRRIQK%3IlN|AZ@ znX-zS2(io6S5pMh$rQPcam8lWC9guY=2n#&fAhI>2-}O$hE@pe7o3zNb{;-gLSR}S z+4Rt2Ixof^o8y>^Qk@#VLN5U}#sLAH?#zn$VcbT8d4|mEWdtUAKYILqR`02#qZpB% zm1#OCpbepQ zY{)l;k#@O=1zOz1k)6n?5MnqqM*V>iuIo7Ti4A}*0zAWvC_{^34uB*GoWzDr>pR*C zxpy23$#*YV7kvE6a`8^Fq{Yurjz}xmW}|1yraO4qq7exN;U3E zcY}Lba(#qKv>bR>lQx%?COcD$kS0WqYhgj1X|dzB*F~#)am$@{6!5wpCcy7DvBliS zSks=KtptSr*}{}E0%0w3q7y^O=5K}^8&l%Y9BD=^SmW$Z>$>NU+aam+9EJZKubqg! z!03dUFY)RLC53UagN$!?PFy##zv0ZM7gWm-zW43G(>9P(Y%s=$DnEq!!uNm-Nf?WN zQN3f=c7hqUIOfw0aPAKG__-Hj-AJK+1a^oyFDM3wxn7|8PiOS$A_0Yy$ zYCSk-)Q*a!ZGN}w6+RP}#gnrE2!CDlN#`n-GKCNnx=db6C+zkI$o0YscfUK8xgjMu zsI3cszpQgB+V728?Br|bhWI>{OzwPjXlIcvTEZ>p+ay-lZ0R_<>XiVas_Ym)NrG&F znBB?xsB&g-_@~J`6WwJEa$xEZ3W!tj+b0YCBFRsN@;s=I*u`(>5iGq=hBQL#p=!S@ zJV+FAMvwk{u7jr)-c6Z}Cl6gbMFJ1nTd!jvpcZoL$-X0){CbhYmt%VNO%hv^#c*ei zH-326(*U^{qI7abg-L>_ARU<)XpxEXqVSek$*RF`!m-tS&Xbc_C5is*--1J#3En4Y zqe1k$^p6Sv9FXCSV0fF37`RZ+udbsuZDaMU2v)NGrP3p}S`X-9R_u*x&ACD;St)_{ zS)WAP4l5Q|QVOrfr-~qjeAJYN*RvN->|9Zd z9#1eSY^-qPGqD|7+jP+UzDS0Ekko{1ayNz`+0K&>w0k7g{iY13%pgKpdB*%*GEB^h z`wFK-zB5z`s*#7eM$2< zjJQ;4!G(Avm0TrT6&xDCf7zQ9}hLZxu}@MgBgR|;c3@n;WLP;1*Ch9*KekL(FFKb-wb!PSZ( zk}NTJ@LX?hnEfw00%pxJs_~@Ayo%obXexcJOR_`9;u0?a-Y1wUlHzRhoLDodx-waA z44a4PzkG>q5l7A87R+Z^Owr?iL^a{rn{wm4Nq?gd2xrNVdQ|#()>7gIlo`}OrM)jY z6Vw2vI-qfq(EZ%KBA|4zSklryh{7Nnh84_YF~j5Xm^D1w$Jl@Bh?vU(h!FR2PlywQhhrp+%j+|A{=XKf#^y#uvMv zX#B|+wmIF=hwd`v^|CW9PQE0ZnLyC1BjEDQMS#Isi@R(XyJb~N?D$)LQ$i;_olM@T zw}!jPg6E~p{x4r;THvcO4og)D%c&H^lRv{q1>xe7`YUJfVJl+FL=fEKu-y1BOjSjp zjy41_!?RI!P{5-?BSE0pr86aFl9b4x2At)NYRh4hmsf1T~ z76pc?rw@+hGw}*|+{AYd+SJC7pCxDrPQX}Mu) z(F_5d8EFY`7k5sUi?~#zV6^`%L!wWyxU7Yl5S`DyI9pNhw53v-fyD#ghxxy8F&5gI z$6aSra|1|rma%;?8zxQ4kcXB?A{*fL(E7l`te)#aNZv$Zs_5U}Ts9U#;P+2@2YV-9 z@8SlZ?0$@9#5l!UgoW%u+;poSM2Up74ugJjVqV_cS;g4R@5(?X@^ST{h)^*o!oCf~ z=Va=)HBs<%jfnJ2B-wmiFY1K2zndW4+LcrBPvnzdR&>Y^x1fuks&)zGKg{$en}D_K z>er&uT!$TEV!xUQ$Xh*arPf{Z63+T&!;epIC%O#_Z^>y0l76Vf$c^H;#GFI(;gIv? z#dY$R^n@hDwSD?TSO;y7)SW;!z;>&cJmNq^Lh1bIW`@y$QaUqEcfjvJlXkZyFN8gX z4t%nzYMgDTkoP@b024V+72_&lgS<78xSQ*q~g^xi^{nJSVH458i$ zK*#Rouq6l?*Sfhp7BcW2@vM?dMkA_A+W$aWVH%TL5Ii%@=gFKARIDJ0XT&xcX9Ru* z{t)Ex#<$SM9%*MsFOL=J9{Q7&#GP?FXTS;KpYWSuz`3ig200mze7ID_c(M>y^$ zFL7sySHT(lwKsl><-G78tsb9D1U`Yp9=kC2|j<@2_!KwSq|j9ahtrdQ0gm9xVGS+73IwC z4=`c8YNVpLgsuv0#K z$?qkU`~6M#pwd}#1MO!=b zXs)q%S1)L+E)j-2B%6zkT<@*;ZvmOsVf}GrC*HXp64gZI@6N+t{P1%|i6<@W`muHT z>-^r=y*fB52F+jMe?>9xJKA4*#vQ9`$aKllHpRA4b)F&|3rzpw&N+j`li|)EREHI^ zX9U)@G)@Cb7x95aoKQD+R)+7>fio@ug-8XJ32 z#Am{scJ+2jtfdm4o4&X zeiCr7(7-;VYp^$^Yj2&T;;~<2-uLAno=a-ci1lo2;k!>^K*LD# z%(@OAA|H%oJ&A|dBK!Od{qkIF0=Z8Y?QcR7S6?p1e7}(%TEDdxXkj7WU)Hd!i;xg$ zuGpJnH~7>W-S)~n&6P6Ev?`O<^bsgk0hCZCFO;(1o1WAznj@;cu>1%C18Rd2VeP)H zG*kB^(ovLx@{70J#(#e@6v~N;(=dCFnD1bgV^`LD{YF?P$RhupJ}WmMK!aV_pijwe z0Jt$nd1J1MbmuMvYc6zQ4h`Z7vu--+ibw0GnoBhpc#$z-Y%U&XcNK|-NVHEGst2}3 zx0pN8_t`ZJ@hEx$#^UYChUQ}Bwj}`LA^P%H10pCV>bW8 zCs7b;OdJ1S5R4B`GBo(7mJY?qvHyiv5+kcRpqqWK5TTm9l?2knlw*Uc$rPIdDUK!R zapWqqAnbSAtL607KN+#|ZR{%-bA|hOofU2Qm`je7bzeyxmct~lPi?AEpUb?D){h;M z=pOX{Xc{~}f(~zEk2%mzhR)fW$OXlYeB7{!vYvf+E99WwnN{PDo$T)O_OP}fbQAFK z!Uq+889(cgGLK?HP!r-O^2i>Q-}yg~j1KV&(uu7omq97ZRlak4@0?Biky?$48)?=N zXr&Ix!KKoV>?Z7i4f-3NpP#szlwPnged`1?&a6 z7{2|Eg>}kwL8^@4m!V|b&bSIc+oS`p7p)^Hgn6M=Kx48q=P@F6HOLt3CA$h3<1wY&WU?)HwRI?dA zh3jGHfiir3nZrt#0@JZ#taxktVE?&0!rOn_Zuv3i{H%W6m|TkJ+g?wCZVWJoNI=!Q zAb6rC0cFH|--TxAl_}k&j@@}P5;Kt+;k0N7P*Y;|ESXo5k+mboTWHPz&c7<;P}Lm@ zOdN58Oolf}53EeRik%`y`AFf(X3p&4;)0yCyR^L6qGeLGvh$lO^8!T5z1kQuSc)_B z`(rF8ufB=&V9gbOuhi+7z9HV1^jagU*R1^r{n2w3IJiSy)|=Zp!3B?_15;MAVEXrT?S2~OI7dhCWRx=2neNMzp=xZ{p7mG{}*S9YoKfzNJ zMSmrk3bn?;=IP9GIO$X5^kEf3x|ZK%L0}astC=xFzn+(-bbR3xRU~qXDzQ$xsfqtY zXkHTOK`6M{f17^(uS6&-eg~)uQPs*@_ZDa;5!onrn$S8mO+%sxEfqM~t=W|DkpTUI z`d{MfLGywvQTkGnPE0Ey(o%wYD3$-AAZ@@}cr?$W4e{Afe{^F7NkiD?jpT&4?Kj1R z{eJ|eZtNo|5flwr710GHFQ(ffqkd$7}m8Bg-RSxED0b6Uq` zm#1sl1lTmX8?V(qY1qKP^_KsjMgaR`9e+c@uBv6cNHqHt0)6jg(2O>;Z^~cB_pJ`F zINvDe%9B|XF?=E4Gg>@h4q`UA5Um9bpQG&R$ND)LGL)4zz(1KXnRo0Xjv&HaqdId` zs;HO9lnPSr9a=Rj98-rvZj?)=HD#LjUAls&i2tirr6BlbW_Xd$>nIjudj7E2)QrDg z5=Gc)iY!EH5wLa3@bb-1wpz6cnB|66vFW9hrk}4n3{sJ^qkS>28zsLO`n&lAp_Zm! z0~t0T@jVK<_BIlhO!Z06T#u)e4J$gyt>a9`&-Vw_K0NkiiMx37d7ebs_W=y4$eDf^ z;gr^-dT-+r)+wi21*J8@=21TubvPWXF1W4)ZZp^sM@H^uE5ersP?`qSQ^x;ocbA6y z9RYMn=31Oj(--_{maNJ6UCsE%cL|@_6+#N`Qu7I7_3YP0jtSbYGfZXN2hWmL;-o)4 zT$ixjxz#-iB{Y4T?%SK%;YAuUX|T%}Uii`|I%OQ^w-3vX_TSY^YtSI+mkQI^@jWrZ z<=(zfE5|?lQi9mSL+^(f6AJ;iu=}DGD9}0^7-bTp` zl#kN*;h`#T@I+AlmwFFmkX!CHT)}P1_w;^ga4`Hm;X++F(`QySlrrB{wilvCTOPv_ zzGYgT0_78FLDSjSJyhV4Ld5CfAes8xb}M$FF8Y0CTCLcby7bco=*tdC^hOfXYi$0o;QlU{lN6IYHzr0rERB@2gL1Xej^CnSx%t!C zEXDwZ2@-c?&T}|%r{X*d)kWgdN5$$p)L_KoqoIi^;#dn+J7)r6w1q$g62g6^+ajG# zSO4$Vbd!d6;7y<2k5^>{9CPe$%1I_WiB#^61DagJwKQ zuRVTXrRzCz1iU^p?qcw2LO{z)AwsP$uGLeH$!KqHt4zh7J5$Q-v?SKDsi9Z;eo5J3 z@XENz9$c;mhmSm@ODuVO+PACk`=m)pKX7TS?r}*6ddQ||w&5l*C*?$4W8QM=MF0MZ zR%q&;(i%z}Pb)WnomsKB-+T-GDa;XpL*z;ouBEP%&_?=di`vZ;@^aQhvab1G{)o!)5pUi&701zHz?;@#SU%jJHhlB}NRfhl$DoSq zL1aXZSv=xIPCb)_OMwT#Pt6@?^hjW^tve;?(Wb(!ynQk#DsxvaR_=xsZ{)6lI`v(oGDH$}0;jsTVxc>I`Z?HQ@LQPp^ zMuI>DKkq8cs^5F`a7N2$0M&F1aCx|HYO%P0MTPR;G20BYi|udd=%Xfe^fGaRXK)lK z*jUhhg*@i%-70VY(F9if%tj>M#mmLk$Uy94R?dJ6nCM$(rH(Vx=XeM)*4$G z>pqj7D~G969cx}si}-)6#i*|k)4EXbfACuVy!h!_(z%x4wJ?uOdaVz(>e-?8W&0^N zMb6+@?B(~i5D;j*aMQ9iw4+fif1_fk@|2X#^5H>W_drs%JcAqfNvoLTNrM}H8b~qR zPN;RmeI?PCJ^>RayI#h^Hso?L5nlSS9JGx^0J=a$zXy&nS%~=g^G6zWK5QVr6r<#M zn>K+~=Ht`v8E%k7#WC>?56JdJg8Md`HDt-5!a$pg? zvDyKH@D{$9(|$0?rK7x(u8YZKFSz55!5H!P&+^U`kjE(zA90d&Dl<8@k5(sx>d?rb zh-Q&Y(lI5EDMa+-I{nqBakKV0QdSxs2%A?SEL}>aJclk7gi>u>n_zxes@$!@E9uaH z3sDxKr|u%I>9RB?(`x)!rX2dJ8pY4b-$!t13v9LR$R;eo9t%g1)|AymY@0j6j1vY^ zui=s}JYSSSrPmF7>XmuOm|7K}jy`yE>OlDm(Ohr*GP0_x{w3joC%w<+8P}`K2MJxO z;SY7xW-4i~j-y2cwKq=?2MS~s-e<<(I2o1zk$4$$GH>QQ#AN2vF4N~|3d z-nKk7YrM>Si+JawbV|jIx!PhhTOBwsbPi+)V3+UHT23K4*<~y2|H^IU%SU;*I!hv786Jd0N zvy+&FF77VFRmu<>^7X8NDi`!&Z+$ZLyX*JEkDbIWiRuu0O}Gkj51ztW8R*k56c)Pq zyk9IWDBK!#a5T2HJw-I)>#>}cAD-!UVk3R%YJYf4P3zN30+hCUh0PYW!PtsQo( z5HV~Q?W)q35ZkF2v6;5XqG4e|Z%*45dsQZ%A9$l8@~n)5Y%=1rG~M#ZW$}YPF=RqF zeeCz+stz`L!P|yEAoKR<5n0MKx^%{m z%kUdwmr=fD#ss+ewSF}5=d;>7Gulz^rVD9|N$3-qmTd3veF1lRr1%o>8HI1IDDOo( z=fGoinxm_o)Rbh85XmP9A6(l<5qpj(okwPECqHxkxj?o~6%X>Bhje>In$%lm^~?j4 z3v=VgZZ(K6Zx(q!|8m9uD%O)JG7vgm#s9wP|3Al*)fki2l|-1qQ|W1+J8#XD_%rXdcT&tem*W#3x}!;CAp`b+QXmi8RPUaa)tg-=J_&+hEhOaij%D^LzPnmB$PCXgWncOfi#5^UmW`m^ zuw1Bo$(Oav5m_gB+t=alnezpUQb%zq#QQilXDGLcOMAu-_I8XnT_JrZaY7sa;fCXm zP?E_#sZ*s@!ejx}*Iv|Rp4Pe3#6#xxtcLXRTrRm$e9mg@PPkzlmx=L#0`sF(HE~yA zj4AJZ8W2f4RJd$a4whpdqbkT8N>LQDRCAr3JgNKI@-8VWkG+YWNxnwUTCVLHglF;N zw7yHjMLu`2X7BP&!xQQRIhXpPKGo_qhQjNY=o0%b8q78Ou(1t*6~Xtm+-J zA8e|_QI}4@} z2S(q#Gu(Jgk?}+JujGV&HL+#5kwj#+zQ;h*ZB6o#cECJ5j!*6)<-X|D^6cTQqdrliy!uMV zc|~5YCpv7NdfRx+vc}ezvM(k7LdSWXMB*@S+o!9fmfqYK$UxWBiJnao>LfVr?!v56Z_AK) z*^k{nWB(REW%29EePY=WO)CeHm$Dq*UpFuhZttX#F56zbYjz?+`2ON4?r~DK2zsOg zrO_*)v-J0BG_hhuqk$p*sn^9;*mEB_ba{Ss3P?DaT;y6ky}B*J=46oIa9B)mFUFMO z6q$#|TQ@zEi-fM{56UHproPG-7_)ppXY`?W?yQp<}I&2m5Pc2YDA0Zi@xn z6+g;$^gL<3XfA%8z;)WknS9GcU^F+TIm=#yvTLdWDECOz1m0OYSU(BMY%v$9Y^1 z2uBHh=nfD!>pW#)&Nb4HCytZU^W7~>wZBog z@jAxJV1|Y0UazIb(EN#Px6of+up)7hwI5{=!Mr1rvbQk4 zT5`%EZc|B}F8*_;4_~ACK;TSw zlUcu-lJW`-esjO}}r2e^HbA;Mn5kta9tU;m~Njxm&oll6mlQ%pU4OUd#6~ zb4W=!y{%$Adnn5jnur5&p>Nu$y>wE~*e9u|Q~10+r*YMgq}eszgl8g->D(+CDe~-a zUf%o0c-!<_QOs;!udYTG&+wiKrMQoLe8kT%z-q;-uhwyl%L{iMc^Iirhv+Wh`NRaj z;EFq$Qzj~x16O(Wu#@%5^UGSV%8~a3lMA*L#Bw5r!)uN83yhAHm3X?nP)p{X%M(|y zHCr1$*nn{zqY_i&=_YGhyOZk5`})B~zgiD3*)8vS(bR0;&xZ@R^waXrkcYKX_uO?v z<`F(I*vAW>e`3>CKhd|ww2hW+o>6N1Aa+yUUFrJ0H$y78J4Obpl3P0!Oo54KeKXIN zS>1RxVYC)kId_lUF8ytC+)|*U%iTLxpHDj;ycy&~p2`Z-Ct4n9ExLB#R>nP%8b+VT z&LoX40==r2j==M1pNRF8&YhL>#T^+EMmt*5o<4${_Okr)sI0WqG|93kFAf!KhEfn` zvp-yzjcsWrt?Y>rJ)Y0WcSBIv1^4*^kN7@oujc9NafW<>BJoF^4{jSC+zvk_hZjF) z&f3U(tDiGg{MjOrZk<$bcnBv&P? z#rwT}ZX*|UGUwU~<)@KMN{;4_WE0T>#jn|(hqOj~Aj)6DU7h7KHB&tpS#GZ`xgmwj z(9^p60nyB{hpmA*HAA*a{!!n9Q}^p5Z0U7Ynpz)F@iBsvOEoQq_QXnT{LHWWd^oEQ zm(e=GmMDak6@{thbIy>!G$yR)&po;HE}92>Q-5=@x!=&jyOqzcpEx$_ZcWL`U zzTJaLH8+F)G&VLgG$4`n_4Rc?5Z?s42DgyNhK9z*rsif)y0!IdE$u+Q*Y`tZP<3?( zcujRxWkp5#SE<;Q%5PFtRb2zGMbyg)tne5(%B)wWwx zc1CJ)QUWB2$th_WS-JT|C9v{J0HnIAsuJJ?;6S~#b;zcc_Rg+ubWcwY8r|K6>I5}F zU>X6K>IztKeoj_;YDyB2IlHj5ytFVoIWo|P?rd*` z`q$Zo?#1-=VS2hcS{iDrU`2UKQX&F;eEfnU;u2CahZR(`jvcpix#=Go8JCy>Ra;O5 zdR$akSXfjHtEfgGn_59n(LKGG-d=Q9XIpbaJ)owd3|0!5DJsm*&CWv-G?8YUR-;;zW!i&W(0@sXzxJv_U{5*TAZI5$M?3@mSn^Rd7ZV;xhz41Z|qs8 z6;jpFlwu)TnRL99B}0o0XB4nwpxHkyB7wg=hep19YdYvm4#rURRP5bjegp z`?zOJY3Jm_mv7&_ez9?XZltH7IML5miDes;5keqkan`|9j)mmu!zb^*yq_;W8Z6&V zDJUy@NL<}5cZOER@~U4*SXfwiR9s?mVswzFt$~)dnR7s5ekGzFQC$vn2B-@}PjN|c zQGQlha#Ct$UQtPLVSZjgaak3-7G6^W#=E}0wk$jPnmQ$1Yk0~W$A3Asu5WU2b!}~R zegsvSbVHYEF;%%H);qqa5smF_N5ZSC%JP$gU5*J7Hz@6wFIgaFly!(}*`yUzF|a&& z+|0z>`mBqqv#p^#4;?ubyNXk2dP!APSy5hYUO_=_YLu^wy~E|({sF!>+&z6mW0O*n z6O&T23t>PNtE%CMdL*K%G&d#kp7o&*>72#g2JMW;!-`QePu{&fPB`mi8! z5{X^edc9B|ZYs(zebm-7AS^84vL5@an=(PdbEzBomRtZ;e?Py#(CCEJ%$(f3 zJTRbzxoOe97tJ-KI4S2d6 z6Di$@+kg#y>U7PsAt)L{MXngMC2_->Z5ovh^IVnLF z%9lOS?9c8s@T8dMw4!_Z25{)!splUyuyv@H42P7|)KnB?rKKe}iBNHVF*Q?fU&4tl zZ>L!lz$2)#GslNoib9O#UBExYT)V&j!25jeVezES=2$&8;S;{W*G*)Exk%t<2ltk{ zhwVt)-wX8hiK!Zxz;=$jCVquMV4uBzuu7wK)%(hEZ8>g|nZBu~PkQdvnp26(Ya2@@ zlwZxuj}1?S!4Yl4Q|(d4`o1~k)!ol&_J3&))aD@iEE85;6=kc%O!1t}a#h#pEo1ZB zsT%me{PgI`M{t;lf{Ak2SJ0&V$;au!pxbw@Uv@feaoomK;3@9GMxxNg=o4ZA4>^UH zSWIIIGr}YCkS#5}lQYB9ge=@N%gDlL^&~AZ0{!(@Wte{o6&ocQOzaDhg1jX=os1A z4$?C)adR_L5R=nVJn1S;4RLk#3%uj$7kEWmQi}Tt=%_i9lI5&rAxGor&V{Vj$&EK} z-w{&L)4nbu(qK2RGUqB{$y13f%+Jor%gM?vtf zlKgpZc~(+#etCXEY-0F1trK@Vw1s5_aYy0^K3Ry|C#|6_@Vie=_UY+pQ_IL;bP&l| z_rTmjJD9UfQCCe?UR7;n1sq-lZ|mzrwW7wKlF%{J4$1S*m4^?q7?~X6R}fzhvQ#8B z8JI}N9x`?JzkyYfY+4e z6f~l1qnxkD#5v0;jH+9!rb~QFUr9*D*o)PH zf$5okR2Lf6ff=2gUfq25>J#yv{k%M%qOnMK6ECO2oVeWD!T=-2k;gI`I5%&gGGboz=;e`!kbs(|B}UNkx6( zEomB-BUH}^hGinoRar3I+DX}r_O3|XFWURUsmr&#bzp38;>o+smCbiASLc@3mS^W5 zJ$<oBt5pfsyX=Ohx&(aYH@Q#_gxEqL_y@yhD@X9{ZSee|@HRJ7Ej1YbUXBHBYqMMX|Q z#~~mhp?vI^Gz0mY!7&<1Np4mKO47Z1zid8Q9jeVLTOcNQ_T<^d_5lg-Z!1pO+B=@V z;B?l`*1_qtm9h|@gr@LoK6=la9Ep$DK;d zYsA*1qIO;&Gjb}XC>iMY(bFAdJA6c6*Yva= zA1f#6z+-+LT~!6y!^-N)vf^AcLZGZj&Jk@*b#+ZmEqx{n~|E99D2v! zTa}E0;Y;VzvDBQPYwq?|CacnUVT?wnBq?TZu_Zou{a_6LLDJqdxL*KE`e>scyss^19-2nzAL?P;rT z>E;&_9+M1Ql9a^cwDgQj;19;f#l=K~hD8L}TW92^BxM4}peQ#p>b$x2DaWhURDy5b+(d5I_G=A6v(pj%t=+sfh`Rv5`S;PJT%_g{2iWaIox`mjMsA zxF9z(9XN3*iLoh}u~89Wk!hvX6{V%HvXWwWbyiVZrT^8`s?3lZD)daFK14DChivti z)h`Bm5Gop-_YaGXjR*}554szcRaj6`Q3Xdr-qx;{SY2LJke`>6otd7RoSc%HoDd%y z3Kr4SlCmWK(DdTcyo}VipupJN3OMk_fr}5k?mFOi1K+Z^pfE2xJ3S>UD?TDRt*XAN zvJP2W4g=0ySvstLu0K1h2vJesp%GiMFy8L!FE4{j*6H(YU zj7r|QMf0g_8D`6;g^&esFkjczAGd5Wfowhw14?ff%T@30ViPD9+7HO#!}Zde!t&RZL-fZy&Y~+tb!L zFxcOZ1<^nc8WiqmYX-3!2;1OQuwqzMYd?N|uCu(nrlAep-Oz%YTw5E%kFRYLe*XA+ zWn$&+yA?cs1k>GIUXfyN>zh(pU0s9d?89I%SX_U9|KQNb#Kh$I*!bwk$jI;@9uIC} zKr>L(QCkUOm+WlFF)Z$w2LIoU4+#{i;!TptFD27y^iQ(a9ZaP&)nHo@y#MyHC;`L)lE z3=EBc(i3B20DM0v+}i_UCJ+~bfo`pD7?_w`SXz7X`2NJ`{6zP_!rVI1mq*VwIxufv zKY6+^j2jqPTp7XRx^bgpeNE*V8P&Z5*s+PB(Xp|S5eUHe#N_n!)b!NE`1r&)xH$|) z4cmuqZ*A`YLl1Nt0aT-|z7f?sG|?LAkT5XXI|w>3IWaUmHaa{6`0VfNgL(i6M|ZXM zu5Lbj^k8G_)ytLn%@^wn1A}WXwjSPpGgLi1H9FScj~^MCo$c%)yC7OFPGU1*K^tHguzh_X za0Sx`{PgsIKpi_U2!?5RaSGj414A?o&rQtD&CE=Uj)2Y$4UZ0uj1EKChR3GwFV8K^ zFZZI`p()=`Q&a@6Kvw$~ug*^nVS2Hn_~G&C#g6L!8KAGjQv)5?j)nn1%lO#z%*^b} z+$!J*;d;R!s@9-z7S z5j=i+1UEiCF*Y@f8Jh>=1Yz0zH8}w&g2wEtQb2Pbz`z0lc?<|vUq2Q*fa~kS4vzJA zqA)`}HFaHpvgz?*&{04Qm>S?`a2QipS=$Jv8xm2LQ;dL@7T2~mq&s-Q>Oi~-3V;p( z@c5pAacDLJ9h@8=86O#(8bS@t0eWU1R1&u+smShxE!7EB& zRq*1t^cD=JzYjY+IyyWEv~CE48v*bK`g{8Tr$fyxqmzT{!I4Q4PHDKIPmOAi`g>Do;Yf%I8JLmi0T8yms8+un?B&&p`* zZGqP|cXjp-0*lp;>4UICmZ+->1&k>Qg>5S>t81vM%Zp8k%o!aAG-JW|jzEZp1_p<~ zaxjGNL!pOjFB%Gi%yaBnp zoRtF02$CHYHOVo}y(m;yS1YO;J2g3s1x$j01W=$1RdZ`wV{0p_15wieEPQfGOsS+TEI{_Gvb?ykAU7{NCo3Z_B5k0z2Z!ndTwtf?7e+BSfE^_5cDV$(#)_Ky z#?~gVqSe&G8`=wtf%||)gE@-@_7JkTK;6LL4Ga&V!PLMHk6=e8M<>Rx$ci%fz|`o( z^z1C8KT{LHJ`Vu}0t*vRWiVo0sE(GlmIlZPsi^{P7s$(GW~9X@g{9&!=)qoW4;s}n zu&}Wq@cS-ba)us zgX_mbb`Myx(ZT*!SRD>90}SHiIAjw?fu@1!0#pJA76GtSc7D?ykS{HR?PeE~Q)8n2 zUCM{Lx_bN2U2RQ+%MX?YJ6j+M{fUvusXi2Dcnp98=4T4nps`&G1W^ht-aU|m)7H|` zh^()vDK9R`%}q~CjEs$p2-Oe3ObqvQfQ%+~ad{No+}PR<{L8vp;FJ{=738F*re|dp zRMmImab3`2gX!$;ZfXNY1KsPs=TD2ASWX&DKRNFCN3hreF8W$BiOcfOn+~Ge??JK6S5H`MnP^F z%-BXK{f4BJ0R#rV5BS2Vo>Mk!^N>lTvu~L8yKtdQV^b`rzIuC#m0t5MTEkK zu|qRc*rpa#ODn!NzYtkdU0V$Ysrf396t4nV+|p9uqnDJ|c8x4=JbtjUa)0%~Vt-c) zq7LNV!InWwE3h1GAg$a9P=G8ubPH@FAdv_}btSB@C?_*52EudO$NR?Z+i4dZ7%TDf zlM~ZT#T9i8weU(o*^=olV2R&%pM=mxMwP+0|ev9(ZA7wjt_zy%y$4F{i~1b;P1 z@B_uj2XiYvE+Q=Op6?}ZKg;m5db~(5{w-@=DoctAbMmrMQlg{6g8X~}1H9r9 zEuFn6WMg}6Nm(tj2386Z$=M*b0URbLCMJL=AqGUCk@0!urJzF%@Y;?ZET*}p3@jYts;Nv( z%7Ov71%)}8*=gzN$w^V6!G50%0wiECLxO_> zLGsqu$2TB4B{3;8J1Z@xss%goHk057EgNlFCqZ(JO-A(D~~ z?xv(9$Hzv4Al?7obvM@&&Nm(vgxBR1r3VD36y;=OB_}7vCdS9cgFb^i>~)W8p4Xk7 z{o^t-6s~jkfelIKnMs#LjwKp-MH@I?sng0|Ej91A{?G4oXKyM}&t51^VCgzH{O7CDRKQ z3tSnw3F#35;Zcb(;nATXVSykc3l>r-Zl#CdEZWga(0dJvcBZD8Tog z_nn)bSFgA@yIcX{>gI9#&RrjGAAeu}fV=nZxm~_sZD)4moa&4Oh|*)d{lWr60&e-- zyzX`7swYUdT=Vesa65I<24q4mUcK%U9upZJ9v@9v#DUf0~Oy18C*vOjHQX=Z9{ zpr@swsimuLY+-r&oWrT(R%fr=4Z3G{HZVNEKj60K^&5BZT)*ae>B2b&J6r2hCoIg( z%`MDL%*-vU?ap0tc7_06yy$f1w1tVK&Jin)X8zl^eSOcKcfag@*}=)q%Er>-)JZE_ zJ39bHMNvilh=Ii!XSZwa9-i)30ACJg>};*9tWKUdVQFq+sHdZ?0kYXr65aVFa*C=N8lYiSC3#sHX#hn;fSZ+xnT3UwgPT`CSVUA@R$W)u*yfD2)ydX}&_)7DUymzOzoNK}BImy?T^mtR0oOiEf#Nl8fsR4ETVlN1+}79NVFHa#lF zagbY1QC3ofkDrf|or{B=hnJI^lbPl5)0eM55Ry^RF|jbx)6ndr-AhSHK~8;;m4lO$ zor9Z)n~R;5=^#BVH5DcK9&++Md#I>s_R;TW<>TWOSJTl}Q`6Rz;1rNmP*glDBO@U! zz|F$Af8Rbjy8Q~I;_5%S485KPPBZu%IF=0_D;r-+XdDt0QIXT#v84m2DBqjXv`Q!Gd zPan1kNk~aah)MQPkW*6crKF&uq9pma=ioCZjmZPVQ!^VoB%hzGKNuez!FG0afvwyI zkcB7%lgIwFnaK%AUu@3VnVLB`+gYE#5fBj<859r_5tmsCZ)|C5Kvcpif&E1yn^2hk z(fO4}uL#JfXlUu^4=^&&(d;9Cz4?Wlf}D()VEfJU^@m_v68HhYO&XtFee`Ja*|W`! zjVDhwHZ~r2i2CE)hWTW*eaHU?TIC2@XHAaCV<=Dgn> zJGYFc_J*3qp|$6P2Y5K?D5&;x2nb2*S~)mfum>~V{DhOoy^zG5lB$OGZp`r9+S7Mm zh)Buz5br#D@ZiaFAnPj&vtwAWyNYV6tthL2BM?ZiRf!n_jv8>rM+VxvX8X@*;4=nm z)ARC@5@Ro`Dywo+?>|8DVsi%7(_fpKODAY?C&-zH>R5=kNG*NesUliRlXXeA#Oyeq zYZufBD=PMd41Xg0`2OX_ldV@}{!xi3Sw)p~U^VT;4h{gH8H9d)y};)~ z)>ahfWhTdj2YGwk@DC1+PR)hZzycUZ3BnODSbI;7-TADFgxj|~PAIV6&y94N?2XiY zzHcyhm5xnFl0#o#U0K`cn3}A(00%Q89qBqMBf#B3OIS#VBI{`GUP(Ewmu0>NPxd{w zO=ZPqq| znn#T+Pdi@r@(qqjh>eVnjSLBoynDj@lE;~&irjBX4Q#OXX^2kjDj~(5J^Q(Y4#{cm z?A^DQl$iMQBXoZFO*<`NF2O@$Ty&(bXIfx&6K@DVzkBs~thpfCKOijB+u25baqa2t zDOvxFg1ns6Q1=^&^%FZxvbx4*7Ul*jqO5dOdp<70{iF#O(V2H^1S30^pTBzkij+-8 zO-tY64GC1Du`D?xI4b-cA32N2 z6OQ-NlEMl{#6BQXj)Zr!DxJ$5dGT}-RUL0ejPOy&m2eA;%B;cOf4lSH6B#Wn`McSM zaE@`TNizD2fTdqtMoH@w*w-eb=Ma)m&^A32=zZ1kgo&}4nSrL*&ZuUo&bWUHeQRm)E@QIvR zL{dUp-PHQDCGM%N!^oR<~qAvzU=Dh6BHH+ z+=Q5bJ07l=U9WlFzIz)i&Cd2Gj0{g)2};PyP7ZM~RFF|S?iLW0lvP~Y($QL5m>Lrv z8WxjP(>pakjw(-$4v&nA28%FAdS_;3g5V%MEhQ1Sz_BqAfj2LlJgOwl%R*1Svx2F~ zjt#tdE4&DE|K;;X58qO<@bdHU%NSkq4e<4HbN3F4h>1%8dk1OBv0)aLHjWpaFP?LB zyy)Q@5)mDjTGTxCnuMHay*nq^J1oC*VT*v2f`*=f;Q%cK3BjkGj|9XNwEO9)N#8zN z02zgGTt|HkwBHX-)c}{duBsIHgW$wOQcRe?=lN5{y6TG3LTogI&mM1)9bo5RpxQ$x zqJRFnr}G)xi+4k!fY+3eo?lX0oR^*u;qQ6w)X4qUgk7Znwolu=NQ?Be7XlTn0Ldu0U$1tk@AO)YILuuUb#$GV?}nueZnrkhHkBCW!HTR89jt};*?BbBRjH$Vh2xYah|oGcY!{JZWWZV`BrkcP0i$ zwEbr+$mzHOTyX#A`(lSe$$6k^% z@=GbIYiS?R0it_U@0g*nDRAUYo&uhsl@-|SI|=+lNGy+Am;=fTj_DuO)zQ|{P*YYo zEGZ_y#Y|60_+qiY8I}~quWmTypaY;r~ph;{O^)01K&f&={g0zzZbiV$6+%TM1E z5D^i6+*)58!=k|U061%fLSwM~_@S}s<&AelR0r7j#bp)MG_|#~Acg=cT|NC{hG4YJ zEsk4S0vNyG(1TzACsjio{6M0vrlO>9SPGmLVP~SFBK@-UXdblE3|tbhjg<+VT}sc) z&Mz*9H+Eo#XI3}1wh4$y$;ik^Nr=9Dc>Qes!OGIY!s5!>`t!G+iTCWKV_@S3yT3AW ziYjVAX&^AVKvN-A)jzf?&=sVS5s9{Qj|Xo&aoU46A=>N zURU$;HjfCm_l~YhuR#j8i zQ2P%P)Zg+q1OFc}08-K56zMO=Qh&JoALt|i^WDe+i}GDme>^q&UylkRpc7~}g6OZdzk71{uND3yB7jEy8yd*^ ze;cgt=)lPRc+~l?HqzGi&jEc!4SuUZ+3l|aVfl_mLvt6;??t`sM=gim{Myu?Q2;g5 z4l4cOy!LL(zc2s&CQw|puXx&j+w@mKb785bSaM&@`at=j?nNzZQt2A1B){y@T-VegHZMR{9?lQN3dq8l-=_&q1HQ zR{@T8eD5K+1xkUm*f%s^k^JWOA1M080I0RMs{yXQgZYN#DJpId>b_g-EWHg$myTKf!_V`*^d5uh)Cu{e~FV%j#{A2Nda_3tG>TN%;zI*SVy!Ts}|3cwE6#cO&Fxnm8H1~Voc02ip zm;T?~__6C60L*SnztH^OiR6!c)adMlkU%Rz2Qce@Eb!lbN2BB0f(Om-|L(?r+MfFN zg#nzB{f`h0Xc6rI6a0S=jn+@v{-4C7`7=O2!T7)J*59=JZyWKy`};Qoe>3nm1AjB{ zHv|7=4E!fV2EXmh|ERP16JGzu^Al2jxb+{#&wrXi|A*1@+f36x9@+nvr+@SF4{82~ z>in-J-~M4sf9>HPvwdIye@%J)>sSA*+3z*}q};cbzqbExf%rY_-!}G3pMPKM_n!fV zKi}p8g})}v|M2_w)%@w_U08qm^rsJg%s+oG@CyJaxBXq(+gnuH+S}AXlK;DWz5WID zPwW3TZbHqdfi}UnhoQX|Aka?0kMbLMyG5WchJddzfK8n5@^1k6@l^=RR}ep<_@1%+ zDXiVS=O3lLP4!3mAcVg~_Z9Q*p^$$BA3Rgt#qxVTe%)F7b@S%;Wq$emdvws}c9m}p zLlB_<==6gCVt*L>uh4f<{sGI6F#h88pQ3~w{Gp%UN`C_fHqg}6Q~|ZBU)AJ$U4OCZ ze^d-q^^YF^@a*>;fUrT^MBncJ#ajN$i~SzfU+&KjNT6?6{UXr!t-cGm`NQSEfc>x2 z`mKQvugq z{{M-<#fkPH532aV2HuHtbDK7Sz%w36o2eN5`59wy6^Kv4Bd$&zrln3l;#xl?&>xD<(~tN zoK*+E(^2?~in7Idx)cPL_Ewq9SS^t-5M{7!uQli`rtqSCKNjp)8RpPj#|pbO42+&1 z$XmaPoJ9y47X;{!2(AziC>WDSVjH6nkmna=of(~nj}-P6+^D~fXRLgG)k#iaI~m{@ zHDh#Qy<31#{8S-O&z>Zq;e7G6GglHiHoYm7p2Z{)P#7>iJ)zv?K0c>~QW$2O*4d@; zILpT6sMjp==qy3~>h3}Z|%F)G4 zOdT3cojiF;fWUirGD2{9LUzfEWG?({7=P;$WQ*4d&}QWJC$accal3f>vFtHZA)~fP zrTYSuEb|FmXqF}{{UZ7Mo5Ka(sg!)>@(-TdA%4XYVdUYhL00-5`Ok&E!`O&~cqI6x zlbXmrzIDX*7BMi`t!FtHBn@2|eROzYC{N#hP$nlV=(i~e;JIRFr$J3N^qi!#cQDvd zb&~LNTJrZ}osX($71~UU6D7pJSc31Um9@H)VQQ#)hHb=xVHM~k5@>@Ujj^-EDGZMHL05ik-hy%XnYJtTxCU6?!5MyUfG+V#{8-IbFP8uV-?oY5xxDt51%= zH+i1^Jt!|f#|Sl>DRR5x-FNd1$FekZ4sVMN7cbN-iH&@iVyG@d+4ZBsg9M2b4gJOp zxTcYN0FjRfSZ}SLnRoMW{(Lkn17lg|n4()0G;GcvS`49-iTV*NE%g<>0Cmw5$4B>@ zFKzd{=GH~}m_e+f_1;>(ZpgSwwNdh$DUdDyk z4MmGmXCusIBZL#rk-qb~sjn0$t!RA<-K~An52sT3$sDS1K`Id+(8gKge|$1~{&!l`iz@ zZ})c7qk(ieHWcQlSY&MMa9IHIpwJ6U=>9kk467|_-Qw(8Y?CMWxqdHq3ASQZ?L;KnTM7 z(HTsJo{ynwgcBQ3i`dgk@A*-{Nfc*^1S>7oP8L=hZ%;A$S(*HVG8D^V6DzAlL$qYa zO*8qH`sjM&e8gzm=sIqp^{$ePsMsN0^SGskS8qEx|)gEv66nw0H*vjR@VYi z8)v&PxrYhbdl7kX<$3VI4_0{@Uk8S#40atHl1uO!!#MM5u^u=|&k@!js*HiJ0`GCc z3mG)@GFQdw@U1ZFWeYV*FEYxUI2mzR=b}*WcVGpwzMZ6%t?~paa_!XBdTWSW<{w~jtl1h+O65t#@l!$n5Hdc#RmmF)GumQ=(e@Hgm5hPZ_$uV z9&HGyuH=Wu#X{4cf<$Ap$3(YZaxe&A5#z<~w4~EdZAQ}SlQvUv0X&LL>u(n_Z(cdq z9O|GTws9%c4cdJj`_6mW%cRm1>n)(}Ift}iP?~2Qpl1K{6;tAlfB1=edehuRx?1)? zksP;BHKXH8ok_08Y5oL@wd?x zItRM8zsrjJiMoDl5~QYXGe5jGy9bylqf-Plakb3bUbeyl>H;g0sk^u1=217~8iS0C zQvAopSh@X#Ovuw5_)HGy6*qb4ml{2YBud)S->>u9LxLJc?-l?u5}|ars?qP-Df+H$ zTkB;A)vKY4#ZKg8LC#i&tTziqf~>?;uZkrWQp}KFSB_$@F8K#Qs1}a_0>XV^S>huJ z^{7YIyEwA#t`VB#wB(#wHvfm^@}s`ns1|`YaL5^KL#VOX5ajM?dou&j)W1s}MUK7B zEdau@7_poc?OktjZa)kVCBznvO4yu?t`?o^0T@ZM1cY!s*p*x} zKM~uY!>&i>b1ZA|fMG}CbfV~lQbx&_HAgjy=vb%V9o!Da8HX3{CW$mA~3Q< zqYbcVk*q6%~#4g=h z#HasA3tp(0JJj{+p)&2o?R9iW`NSjz#G+dtCGY_sqo1CK#LMnCq;D8JtlqDe!?m+! zwrXvEpJKwY=EWN;K@Zx^Qc2LXqJ+5q=bE&laqiE zJ}NR{PdnM~}tat3&7IZ3DlW;eiOXztbw13ndEfS<8C9>ix znw?yGH{|ShflP#YKu6mdP(=$ zDl1Kbj&)|YQYxo77>ZFY|Dev#9F1>1700IAD@e*Uk-5dV^d4TefsVFs*#D*Y7(c+b?Bk-*faJ@^h$p2 zb%C+3H3k+y zD9fgfBnerTS8`hFNK~`A5vZ?fML2UI;toRG>PZ#!JEc`rH(WtX^(3clmVSLjQg{|i z6%;!W=({3nPNDqK`dW5AX<^a#p-F}y3rm+NZk7cWLD&LI^~hY+H2??F@`cOZluIGrb>x+E+%i{gW~x#Ex1amwm|(B?9_i) zOp#+QwKX%(B{wa=rL`#5DkwmMQAsS94m4TGbQSyf&{c^FcfR2c_A$`RQZmCW1 z^2EoT>$vrxbX^_HP$POYHhDEWV209>(h*o&apK6}Ou4oQR8W?(y+b1?ei}&p3@LOv zGHp(i!rj9y(n}!bI^q<&&B!d%e5Rkk19e?+kwmB<7Bngfb$H(!i~YgsC~6PR#kyd5N>)Xk>zfIIZkztpPBP6DMvWW7%GK zJKDVFIqVX@_(p@&$1}YpAPag?z%hSlv`pOL8&t#EAS0P!;ctF~;swSbS;PaZi^u|cTAc8wpQk26tOKBJMTx#lL z4FB?YLM}I>ak{>7$CNr5EX8t#dzOB!dCHzu|2~4;-K3Ir5-668j&U&9g7k9x20>#(K{#j*))K%M_`f<^?AjOCQy8iaJkNL8E$4a(}>jcL)#aBo%&CY@R7e znib6Mpb6Qc=J`H~X8!JB@Wonfbh?^lyXO_keg-YFZB7S|_^aRaFz91+Ux*Vd_XWEK z7GPyYa|gQPg@(P9yU)_tmAE|Ea5h$~5HiU<6PERg~k3@FCddR9>0=o%QNyT~5qW-$(RmlAFbMvfHPJ*73IqbTn zmelcei&t}~m7uHEV1U7M(b07oLbwbIJ;>H{idwo$!m){En)13oFvvU-y1g03qzj+t zH6zThlx^&jYCGKK-4zp0XNW(HE+B`GM?87)Th0i}1C2AdZI&@ZPV(%5R!(%664NgRh z*u#)=;^8-bbd!&+AJZ{n&a_P@z@MUIipOfpnm@KelWAu#W7C#nYN8S#>n(lfKcx~i z6+fg~&~)?R>bIdmqeVwy9t`iV>~jv!XQ_UZJh%4Xv1r)3~-Q;YDZ& zc?JfUVHDmtBp<~@WGw2u)10}QL=cE%tatpH@7Z}=Vz2CvKe5(cJHKhe>r-MvV6$`UedSm5RGl_$E%O>cJ@+l6EcjziX^ijsuJve<_k6Skl;@EBqPt_Q9_wPr+dd>@ z?f<+I#47QKOd!2updK|SSC*yp4zp0rT5bgQsaL}rJNZc99@4Km=sJ;fw}eJ+O~y;^ zEAGJ#i$*r+gjR1_AvNc*<%ta=nbZM1x&j>?8J%!rrgp>7M6pM22fE2X#n&Nrxn#ZMftHwqlb$TU zoGhj=?YYcjmfq%~XiAAuTsLn&nAm{?$4U^3c}-Rz`l*=Ra#_4iN^N9^Nd7Y&Ikr(3 zLtaFw9rWFZYqnM;DPGeK^XMY1n;qpjVls%$si{7b2ptnPuCJ$t2i>@VsA%0-4ZL~6 zO8pcVuzw74Xqh_h#kFSWNKnbDg=;kmwZroos$=mQg{)~4*jDY5QD`lAew;JbY|?L@ zrJx?phe?{uBuiH|@W3Q_YH!78sAGslY*?u(+zMf#$O7vh_)$&tNUFKnj?Qyl+x=7{7~Uyvf|;?-jau68MoHHUR=aoD)Oi;yr4b6;bN1 z(Y0SyicGy=AZu>YbQvPf+`5F}i6%8L3N##6T+ml?QF`?byqxT=M>)^kELe|~{AN4) zz2EX^6v?kl;oYRtzIYg6P`zVqPG%HUyNi(Dz{V72GfBru?%?Wb*uy#Z3R4ml!pKv* z)NpaW?>(mJt@pYvb)GRoWlT&)<>i>{I+$0f*;xetrU(KvbHDdhv5Jzpze~dml=P?l zCS7kE<-rts%l2L)7fAl{FI zLRTby#i(*#DTgmI1~EHQ6X{6I<*f{%eB4M|m3UEK*%rLw?0I%6nid!kM!%}cJ2HXu zlcgM}(ivG;*(<_K4(oXhI~4t=oY-v`q-f!FZdw%dIYEXZ^Akn%;Up)Uqon(+`8*xh z7k6p+}U!^+rWLPOMbTc=s&2Z+@GW6z=97aot-n_b#*6cBJkl$a( zL5zW|dVYEzN@5)Fz=yQLG`8|Pb(vL0ISp4pY-3mN8I97aK61kr!5c~X*COt`N4^2) zlcH4X9E;D<>r zjiNbd=b*Xy%9lOwZjeo1sg>Tspm|Dtwy#9&5_N7FiGZLj?r-g}JiJ~6nReG!JMwo~~TKA3An?X7}i3Gr%k+Qqhtxejfh#pA0n=Zf^%4#x6V_8hG2V?39! z6}4WiXqn|q?R%!u15cP9^b%)fU1Kz9@JvB2qVlx%)d(xI> zaaWH@jf&2Q#RNyNH=B|)b~5CT)rsH6>qYhPmJdV%@ElxubTWu7+`bCDNbj9?xQW@t zhix!auQN}a$!QP&7_b+bZ;EOTE|@=piZn4ca{7mYhN^amuXNfH81yUlY4m%D2qn1H zP(WT{7(?e(q9&2)$~{er!(~Yg(Gr{C?G?^k(K;#JRiJC%Z3TxLM{Y}GjnZ%Y{-|a# zCA5atBNNZ=(4EJEUu7jfFbm7G2hspM&|862VCck$^B!tibLmO%pAc9PXlTmB3NEs^ zqV&$2IGW}KzWjD{G18s(CJM%H;yKK)v%Gf>Ogr0^?HvoZb6%B4%dHL7TDXY`!F}~U zPI-B#uja|G^e!m<&nw}_gGR2M+B_^adT%DY99;=dGImQ|`4D_09q_>JNtz+mPH7y6 znKKGAwS05%<&~noEr{;PPnNIRAebe_qG}=QOn;>3+lv^&<#=^qKfqw<>e-XCIw*+m z&5ELZiTjcEgPO}shN?93P_Ny4WlcD};&Befj+Itqd+ zmUJ@9TKFGVxxe9@^gFV^WX@|C(!4#f)YZ2Ct##tkNRxe zX<3NIs-jpZ!gPutsdy?4ac<(UJW! zWsa^TNeI*Eq|Gu6eu;BaitT9FC#@+un!^zjj8xr!?f^Y0^wCxLVXy~G2%8OOzqC0) zD}z)b-6oQLj~}Bdj%eOi9|U;AZeqs@dD{5lfo`Yxs?WwYr<=%wqlH`sUZIB3pOA9n zMLX7+s-q=f5fw3^m7yp7&_bsb32x_ZxB_nx!l5aa@*q1Ra2f;@jt1hrSb4+@dL@Q3W zy8J&9r-l0Ew^|eBTMWpC-?&5S&BPTv4|!4K{=g;fLM4Bo3)%h&TV$NZJ`nXjMif!_;$c1Jsze&Cxwl0G{Yn5mz5fY%4lLkw&9Wob{G0oU@y2`3^x5kW&~{phRCVCGD=3VXNw6TC@6ET!872TFF z60456;x418T(m{dEV#6D%5k81KwSV`Q)}9?`B5OOV3>$RD;eg0K}C3J%YuNPFgHA; z$Q$=`Tf3Co#xrfZYhqg?eWqkIEE}}T>r>iUY)^@aF{sQkL$){6i1G;Nl5uwwmBlUJ zdOH!t6zTxdCXN#k zo+I*>3Hh)Gh+c2a))VI|F(VYcjQ2)25&7m`27+Q$!oE7M=kKOfym>N-Mk(!m06G_}|x|y0@Vg z@Q{>9VYeB3p^t$#EnZ$Q|BBI^+~uksUOlKpPQTYo-7@zkYIC7AeSfTkLD~#%X0^BO zl6R0!qVp{7DfcXdrZFM(^TIEDA11Q)CSOCn=eD=g)9o#zBVW^%8skaol9l$ndmhsX zPa(nrPrYwB>z)4b!E4E=5R#;^i-Q;H#k3YT4#jyelUJb#ey9n^4&Y{1e(Et6VXF6; zf;+~;@nE~ZLe$N1;77(7$duP}LD&Atqf17!P~HS&G$3q#-r;nK8XA1MyzPL0DpQ0> zU3k4ThG7un*%1y5Dk?+JY+Xvd0LY7##G4Han5QOh^LF+iO=orkZb+VZ4I%9HiS-8* z0ChnTaG2cLeT%z#4r|ZW`IW>_haSbxhdzD35C;~@^ zHz3b~i+6WBm$qy#{cWYh{DYu2z#`IqKLzagn$U&R*xS(!wgvwHq82Xd?y!bMY9ReC zxfj7ySwoT*+V+mUxszd$U1P8Um?BO!>WAOKLBC>SbXSo-^Q)Y`N5o4<*l)~(MXnbC zvmayX=A}3XQ93p!<71~;I90j9X( zZm2I%_<*x0vN{w=hiIbX6hE#{q9T!$QR@B>C9ttpD*8Ib9wNKn#M+40Gv^sdF8X7x zI`a73)tc;mQhh$TvZ|`(Ci;Z{pZIFaVF<$7gMAmHA5N2y02`aPZa$wB#8#jy{Bg0= zvv;c-EDR~Ots71jMmF-xEoHOURa-_^U$!b)LKyNpbSoefT(w)(OTy_ShKJpybdk^4 z=NiP?qcWqC?lj9qbkDwlJ3Dc$`avjnn=e5?_VaFT6%-)XL2&y2P7p=*xcPPvIWx3o zVs9?FvB+AR?pUDparAgUwZts7SQf|T4qMb=Rt0MCvM#^s_4%6^gAG!cfg3TrbSca- zmu(u}=$zdnwH5Dwdiwgf=MCzNfWONFP z=6Olr@4qSe@A!Zxo_WJLJegqu+Ao~URsAY0YthvV<==ZP^7+G0x5(fGiItE;_xkrP z%sfS(cO#<2ks<8~BCY$NiNcJ9`haRP%zVpqXwqxms2=~B3 zs`d;W5ZBdmN?IQ`4z-Jt7HNPHuh95q(Tx^CH)GD&sZq%}#Jvu4Y4FP3sEql+I;RD` zCR>glxQ=n`JqP9UQp}3yKD6YPVo)`ObRf2TJv3f+Z>qu=(z47|I#%f{-@%(C^2@WS zZZ!M|WNYIX@dkVT@~~NbC`l%ewXjA-&b-BY-n9X&31^Io_~=_rv)n=s2wSB}G5-HNHK-a>&njAd2zM58hx zLG3{4$-hE|G6mDcJWw-~5$U46-rP}Gn z*L8!ZwQpjpb_dH@;ys|`Eyo`A^tnf|hY3T5isHEivuNo_8tjXP9sT<{Tx%b)iBPOK zmjTKag>Bw|{VlYW;4Or5aX{tu<4ayx5&lHaH*bttlQ(YaL!vIT#VI{iS)269d=(6Y zt_LZz$naX7e`hgl=~Qf1ZdAZ$U_!ZR@M5AfuGnZ4YUI55L^JN#e>WJFb2Lk)Y)UK7DLMEP>zbDu!Ww2*;K8K<|w#CbJaZh7{Yw0+>9ND&{nCfEh{ z7U~_qb|3a8BD2pa+{~YQr}%~YB&eMg#XxlDxWjTVplRl+Hoq$`&kdf>;XrcE)m7TI z#Wl&T)ae!zjuHQ#!I`Xm{bd0xVn40UK+cN$J_gTOZ@e1Sp)wmR5_%#*f@dk+EA*y z^r8_(-ZUh)Tsj&WuS(V(1P>ila9@pvP?0@N+urYj1zb9GS6K1Y1q1nI*|(GT`Og-2 zibb!eaESH`^|5qUsZ-ztkRVCkxvSsHO_t~pqk6F#Y5w6ODd~Y+0Yof zH9CK$laLN$kV#_&Zcho)r$mJLntbYEKs3cTsm_~1__n{1WReD~X||L4{j1g`+9f&;!TIMa zs($5@Qu+e9deA@P`!63p;NYPAcep&>TAiH{AOCl9UVZN_Ca-nw!bh8*IA(3wUmIVf z!eH|kH|JY}X-1^&dWW8u&IcMDjNzN&EDL{&%(+vx=pE&2qW@Cvv;AcEA4T~}@J2fY z7DUMIV(QxDw7IyreQ9MdmCnah^CtS0rDK*60gh_F22Wq-=$ zs1e8}L@sMlaz=mnX@U0lP>ZzfM;+#X@c&sm{|%?4A7n)qq>0IURKp@aHFFg)ulC$V z{sj}gxqCxf`udIVL$G4H0(^FHZUdXoWt2UaFmy}&TitMXuFi&pv$bJfVSr8O;ez3} zFMSU`&RvMxsR$tG(+yo)K~;SyONG&ua+DaA@bX7+)f|^6V@WW1KPD-E)JyOd)Ao}> z-1tP~a8&Uhqj8bgKM5h~SVMm-yEkVYuge3F#mn70+5KLC^sUkW#lh>Xj+$M`$*&z< z8a79y*e#aiI~_<|!?mZ^G1VaG$0BN&I^J5Le3{*3A&N+$LM*u0F=RvMVGg~d(*aw2YJGLk3Jeq^j zVu_Y7J-6+5a7OQ|I(T23BspJ5+NI-2{ORzp+5z=l#9Pxw0=cY-VPMK%(WDOOVU(gJ zTfIKyrc=iP6#C0EhygYiz)kq^;_2lus+13^&G29S*>b~+1UG6{H-B_gC)dE}{=`~V zQfju6Kjl5Q7Dih~21#IxGqt!82n=3DfdBU{RLzYij!VF!F=mn*7JCorhyNG~0xNjz zXdYTusHpmwOFEeo|Juo(X(-baH>xG^w{J1uvR>eLG7oWN{=BeGfkW~elNr4HWG-Ea)_8 zCpk5(JRMAzZ7p{};Rp9lOtLv%re@NLgA?`8B`A($r6nd=Kb=eBeP1a#k_RRsbO;{4 zeK>Fl$!9g;#=X$4rX%}mFuna}gxR1WVW0&)T^J2$?VeiI9XL$z@N#5M$`sEm|`!_4{`+8 z6=~WtholX5NP`elSbxF&DOArkh=cylOZn*jY`{NW1pjGvRIVR)D0{UrkxvbzQ<7IlZ$1r*%^6S- zxO)&nq+X~C3!o6fZ1+(_zOQ~~Xg>f*r#pY21AU^g8~>!ObUjGpi*SlcACdeX8f`VN zeplBkRb!$mG45&I7Gm_0ecDV67$Pa5S~iZGRc%?_X+qR+sOtcZV0(7-YPE1 zA-=gdvj$4NTbsh;qb}~s_Li1+xd^6G?AGJJKF0V88%w_F=G{R< zv+oUuQ;gOWZ%oz-vLxLN$&s^`7j#Q5Z7H6&29;L|M%tspANTF&)kW)bP0l@!>!*#(n$8uyi7XtFp?M!@n{>mU!(`Gz)Hd8h%r`)&#mNBsNv>uht+!#db+K1(1qm+pOAo}Y1L6D{3@$l z0yH+=3DWLI3YpY$J^=hUlL7zar z8Hfcaek}F?L>TPjzjVb2pZk5_Y6NAIC8dtN@w=f-f(gwuqSpkHm%#lgydC1W!#7{w z>);b;6{WS9MVHI;ej{{}$62+r)U_W?1~L9cuulH;MW>vZxvsSS9B{Po2sxJHwcP=J z8b6F}+Vb77`NK*vR@c7q>FY3AKGIxyiv#)4m|I=k{>^KO_8XHx?t5`gQMdTd3IBowip&InUOrFP`tX0qtx}0!F|Gm>H!voj+J@APc+KTyXDa+y%c-$EIrqx;^FW~+s6Q^aT6#mV^o?< z(0VSRrs!Il@8^o1yXEYI?Y5b|B*IiC&7wUtUm2o}J+P z1{La&^D8{AJCe$dV=eBauG2kdpckcIEhakX?7;Y%{u&!2%w0~N>%`klY{d+>8Xj!n znFP4qIVMZZXWopRi**7KYXWruMJWE@alIO+Q@UL`2L|eW9=zFc6`ki{jDw`l7R`2n zL#LJ2tnLq51Z!HATh?S7+8&p=bO@H@v6+g|pkzb5NOiGRO@70F*cKH@chB##dZPY=-S!nCX$1yz`^@y7O`K-@C~oe?5j`Ropj|i$yw&M6A;(%|>LU`J6n!nWAuh}18zoWK$g6eKTW`D+4 zgftpgqE8<(Q$A^u4-OQd5uzPwjf>mdKF#gHdG5upDm{J?-8Ry7*uzf^wIJ}wU^jl7 zy5rx<*4gZ_cbA*<0T^=$`eL=itct?^Uuk3T#%paXx&z`9?5m>!GyZ?CXYQ@w8Qi{zMW){Vooc-dZO}hc z-Y@4`gc9~^8Si7)6g}B-wN*WqJ=-TED%Kiz&s5?EZyEB{LnYTDR7tB#7-FK8yl&+j zrTzKlDZ4|g(K?d6EO`TwM{K$w=m8`CE3gUsmCV^di*5-W!tC2K$-3*<_(Rf>1LXZ{ zEV-B3yX;@uj~#`gt(W>LccoWL;cl1p93E`Ws>&e@xTP_^evlBM+<{ha4Ike%A*-sy z)UFCv2W^8tUj-A=Kp&nFjg>b8pSxb8?%omkMe@#WSgv*zgVOeUKVT<|nd?^a&wMMO zT_6G8Cq+dDG)fW3%QY~2Ewh};g!Ndo(SnOLTg{UL?OZsM@c4hS3tX`-u_N?%^|89~ zf*wNooFTY*>%nT};ydmxh%Imq*jJHXr4MPByex_JrrAx{a&b4YkN{rVd5Z}36;ggw zBv?y%+ciA2OBG1?SN|*5S7xkYDBcbjKO*IoIb|bKe6CB9odi~Q{5SC$K&yN~Cwft4 z+-01KA+bFvfaN)JY?zZ+?w1L0qxcJVdOQxS@CNGA{N?reu0#F=pps9i^Zr=8$-VX< zs4@{pI%gl^Wup=@%qpM|@%TCi;vg%1JEctb4VsL+t`T>xJK~^r`FB#4vDr*u&~3|$ z$`kEkNAk(S=*$RN;9f!b3$Z_h&(eiOX-1iFcBXV0B3-IdnR-q>F1RDP274OSoSsyNQ1oq_x<4O4$O&c}l36YIj0gYp#p=YrXAT;s{iZdS{hmpK>yh*) zh5J`xA3qDJR?V>atFC^lxGhqzi>p0v%XUnH+_-XB3q#2?ZV&!}?jPRQ9&9$C&YvKG z&?M%wH6nj_j)qZymj9Q0{B_WBa665p-(OWXWgokPbj>nb!;Z&qFsJmH7lT~Rz8rly z2NGw(DOpVUK0nuS?$NjPOZ(zFhc}Y817usL+Qy0d&KmqaWvymE{d-{;2h)*6!_fFw zOE#r-Ycv{#u7kpD%8`*^AH)BTjapAVFFVJx6ZMy52Wb{w;S3ZZpMciMnN(rybkfb#@Pplu$a$7drKgeR< za2@>j|2}z1o+Dhkee`x|s8r2$kzhxAo3>zc;P7@;WpXsMolOk)*%m2($k&-B=WZEOU21F4kiK7%;79>XAp20PO!JuBH@i$~j`NFh&hiDS z|FH5x3LV|pTlTuY5F`-U-lc^=k(ZK&-YT|)cau^A-BIPL-e#XQfo(LZ{^g%?Zhp&2 zPu}lT7FYriJFoDYKbmW?OK2azoGVLyzmfj{J#}f_gq*|);-z=+Wx*P`RSDMo*6oQ#`jLutF&sP#Rx@j)J~ z7)u^qRDkFCRz=`{6Dh|K+rkj23WbJ=8e5q!^1X+xy+{P2sZ6Fn$c5LrV!0UouO6l8 z$`{TZiPAUV2i8d+fbclGR+rLpnnNb?@uEMTq#az2@EADc+g~G!>3GOomxI_;4K7cy z1VeI8M)K=Fe@Mb(?fq>k|0?6R6Bl`95O(R$n*HYS)1-RBPLPLkmOMkiv!kCoMZ`Wk%?$31j|O@A2;kvBsi0z zs(dmohbHx0X3jOzU0}hbG7!2W*G1f@#YHFcbNcHylntTqf4}OhCb4dc3TQ>;LHi2hF`%y`goTj;)dw6IjC>n^(Wd(7PU*Gc#Kgh8}owR_f15u2s* z*7QP3*MD7M;D88Gio?;3UyP^3el|$5zOCWLP03G=d_4vndgmCJ{YCg~vRt14A)&T~ zU0MLzzk*;t4S!Zlx)p~VD%+V!#ZEZYmyZ^8coWkk{TGTGx@ovTM7`@!OvF4crASt8yt|NFV%gw!TqUemwB_N*|IgP zu4*z_rWmq?usR^3nj z$kXv_1fyVY7!93OG40dBD|aO9{&ON`b+lpK-SJO4)yk(|mhV6eEBq{&XFwfouIJ~! z=}|runf(3D%t#xBl)G8wywMgRoejeAl&GD%D@FtTV>+=h>nP&VTr&0iJlKPd|*8VX-1`z zy<%A%h>{{De7x-o|0QiUi+%XJL2FXwNIeji1tu$|O19(?QEGW*+4m;LGF=<7HkW5R>3z0so@{*O!ye!viQ2<|#sqM!OY6P;itpXpUQ_)-kqQ)u37Wc%mycaL!>Prg=s zkL9THTHibmp^MDdwZ_dZVen)u&z_s5E=h5B#)#g>d82wqS(pz~agz34*NtVw-i+D)}Nu zhgE7pZZbX2wS`&N1sE@OefneU*CY1QuXJ?THAC=2TD#gr(lB|U1mj@#1E@yjnXTht zL%G$R$|N6|-cT&Luw~JV-JO}x*V*%rMJABa!gEJ#oplbvw7(Oc8K)UG65y308KyaM zT5JUsCp!Ih{m~wWzB#p{Qap$$M$sahXnPnGQqqlou*G+^u73jM=Jg^33Bp@5Ny#xE~fu2Z+2td9Kf9Z8QTG1wz`A9 z60(7V1cu;aWow-y(e%3inaqX@aanN$KQAd~!w2L=`D(uuMYw&YYo&#Xr6%-F@(K_~ z=u1Tx!BY7sQzqwQ@uI5vp3R)&-Bt=jJ z=$ApA85jrjb9lpB_tmE}!e<$?Z!i5}I}>bJs+EUK^^k2>*ie&Q|BS0huc3IlaV#61 z>ib7ltF=5i2M|zB9+ic2hSZ`iXJ(_nUR5CMbp6vCbg&DU)$p6 z4EHY|O&o&!U162@-n&sYgqB1?q@UW*vRwv_e`XV467s=w2D7~D3Jy7xrF-}`>wKR&HWnk4wfXaNeD|#`GCiLmMV=VT67NWZsuQ>j zZMs})JhSS$Zi&4Xy22P92}xXw=Um}%$9moqkDNVo$F$Lfp-_!p{x&(x= z9oVF=pVvIVPYSwEsfWE{sIG$;A(o3+J^K)D=)F*^%J9-vW~q|jRGW9LlO-v07q^&# zj+Q+iRT5tYlOz?5m(A)zp;ClUD5<13RF&5# z9z#jmCp_JIvU^fWWdGZhc@5H0#RcQLYj#-&q_3{-uPAt!Y4L_$?ZAOk@v6(xsR#yq zv!&Khu5ha6O;w^Qad09U-juMVR4e})BHQN<^R378+AvSXbEL~hsiIy=Rd}i|kKyiA zvYK98XD4Wy>Bwq0Xv4X-DX3Q)W>5;hdO7y-!a0oB!o`JiDV>A0pXgOy;|d6?&+R@j z6*Bi}l^l=t8%5diFSlhA#h&+%RA$y^& zOSb(;qFD02TC01?ns;98FYy$8P4V8ix7758!+4H}zq$G_(*n)0Yt0T*Y`zAj0n<8f z(QC`HT;UfEAfsg^holl{+Cq30?gp=3Yn(Zu)lF@AeaK8q`~%lHl>mEzEYiVgo2KCm z`UD^Sx0B2^HNssMLoB0_o_dBv!7_0Up$-9Om$uh}@wG{Q-nF5ZS@~q0vcS<^4b#Uu z&Jg6@n@YzUZ=1Ac-?1}qc+SdNY2mkDz3MS9g9^>!b!9ruV*w)6q8jS-F$(N+k@n$2 zt}h}IMg$8*HSWD`yYKe2q%2|e>CxzLIJ;p2$*b0|HYL8!P8~_3Z%_+^FGdM)b|%tiXL%>|&bC1zJO@ zr)AkcuCj>II2T@gB`Opg0ri?SSYml>g`^ov<1{~e)p?Rd$d^^?BYoAmEh>X?;%DO~ zxhlgJ`W8(+S09cC#STiuXHzw@^C`^Qw_Cvm5^HYO3c8wO1ZJurN!D>LaWjj2Q~v&S z8DX5!AM(q!M-HlpB&3WW#T&YHoI;C3ZI(hwzM+gdTjR`Pq@4X^NI4Yaip(T->zTA# zS=-L=X`izP2Hq0yoh@W#okV8aKN`+T<@45JX74K)Ntat-GMim&LR+phNPL(M$Gx#} z_e)UU>$P}V>T!3Nw|g{l8ENz(^Qs+QR`G@I-0hp4`p#$S50yy{+^d#pl`^>rKX7MA z+;HF$mELsLg!72Dyyu$S7L}{X!yo3vU8B3+zJDa45{Q55zEFAM?*H z>&`YhSWsrqj?#T;#PRe8icUb31>P1e8lItN`j?ql53eIiPcQig#;3)`sBawIBI z69sSH`f!J_1cJEA&Oz=HSCiI05l#Whm!WLi#5{fW-^4Gldb%zOTvcfvkW9xE+KLRs z8R_oVSh>BPYwpJ`PD#OScdl#HU3}%rS^!MF^#o1qCEo4276SNEW9Xf&1TADE#U1nJ zjB&!->$GE(UP9Y>y@?M6)~kDCbS^v(@xaj-o2bu9i zsLkN>MUa6hV>T|&EqbRzt8T?gU-`^FcjSnm9sGr)gt52)gFt-0QT9Wf&^CiySfC}I zh9dOYxPHUqw$N>jR|FO_nr zxFo0OE}Finm@3(s^i)BcUSD60PJ(heCr3#$(WNFDG&w4$b1*hw@}j1)3BvO0hme?cmiV4p^09wxS;{%`5%u_U^sG zb+m84Tx1(}xUNpf;cn}z=kpYXx9C$H-oJP69%q%wN7h}M34^y8Svj2=_#z>I}N<)^8s_@deyR$pnJ?zXT zowvW$MG46Z-EYI-$yM-IeUgfcEu#fro2YnB=Ssb&v)Wxqy5}q;1NF<+oHdgik*{hn z=0RHxO2!AH)%SF>$aihIMO-^0t6B2QLG`@YxpE}S=Me>U+mI`nimYV`aH>ePOA>eN zp7RqQIUCpAg+}Y@v@aiEKRaou*IxWITI%)Av?b{`xuGvD2qVJ2`a6-V*ud1Qkvi=; zReEhYXH4an8{>vL%t>XU{;FKLjJWaxLEL(5(EhW+A%=oa3$vPA)`{tH4XF#SiDwPg zl!kg3plXEs7Kp8WyY<~O3lj%gQpOwJ+Q!ov4TSF7ZCUS9*nr6?zg|@*-!wC>7X zQw&Y!H!ik7CY$$4)$ULln6~v)vTZ2!O#0-qL%ra#HIwhLWL1ButdycPxt6ZjCTHJ# zIW&eh@$=<;j1-@>(+Pf=X}Kb1nQOvJ@(=#dN+N;6{iRyWL8kw9SB!^@5sc>1>m3F!Vu{@#p?(yQwqzbQVX+G~#?ZX(ex?O1{ zPJFDoAWiZuc4!uwmzY#Lm7nh^vSwH}9JdzMb7uK~(ugG&rL_v?sGIG;kZ(lbb|Vqk zH91lDq=lKAgnFiulaaUXsu3Fei9TiSn(46MEyO@Uyy6Sn&`ajI8pf|Y?N456!zG2Q zE2TxU^R>exA2^hRkNqMyWG3f}G+P+7k3L%9;dgIre~!7(0i~H40U@d+-7D?+%`yYe z$9;{~{Y6EWAJ(E|PGRN7LygmYiKE6`Pc4x5{oJ0eEqlf-=soo&RA>fQsqJmt zSp=WUem$R(cCFDQcE^)TOxmvXNBYX-(u#?`^$B-yBdh01IW>4Yc48)C?|;7JdjFYH z>+R->1${4`=Ne9;7z;z0dWGO~0k>^wY@vdzVJG?a&-s(M33|p4(ugpBWI#Uac_b9RZHoLUt+f%12ZxM;jKG#?*Qn^+vC)0N9o zII+GamNRTc7kS`Lz3}d_nB3~uns#xRQNr^UcH0Yj!6}USP>(mRP-O-;@14UI1$}+! zl@nWcYqlfhheAKxd2JZVf1)eUyC}a+@}qv4yqP&>4^-%*Zhf7Vs{=g8VGD)1ekJnN zQTbYHRU5a-PkVF)nk3y#$HQ zz3-K$l&20VeD-k&YjaF6&r`P1~;B@eg!!fO}^RrOoTNl@^;zsE@o6--3%S6}^pB zn4}RT*z#tX;18`%+1p99I5_ej)}7Z9)atsz6Fx1O5-L$L!Qw*mQe!JuZDq1ebTG<_ z=i@ts7P~s!OXr%ms>hu*5w6hl0n3)l7Ok{PY467#g)6$74ztc@DdDcrzM||ij!U|h zA3ox($zwoc=5{t|JJtLeza2Z5dqLDQolwfxn#x#JS;zh2mRlJ0Dfu7i1Z!$#p6D`D zSWlnyy0SfMbvc|u!JSWpXAdOD$MY9jnMV$}FNdO;M;I<8V#3BUb6$%2zOxrSov|&B zJ8`98ynrEv9UMf;}erp(=)Sk^Kak2TX_F|acK#FUReQu*z&`NwY85Q*FSywOaX|J zl9FnZsLAx@`s>F=Aq@=;EiEk_Ao_2Jj*ga=hKAgPl7iy%`p31^mF30v@7~VOwG*4_ zQSj=@^3syx;*!#`ippvj5`)7N+q?T;jf_vvy<1#f{qS)eVAv#p1i%1tfRIfIfH}<< z&c9XypX)%%+6O>uA3sr0Qi1B=3@0Na-E)znK!TcI!P_f z&CM-DQb$)$-@wbk!IuNQT_ijf{!stCvYecXhW>*W9)3Zg;SrHhG4V-h*#)K0nlG4M z4v$St&Cb7FSX^59u>KizmOKg@+NJ_SM)CRM>e9Q}sqwLq*TX|V`q0qu$k@d6+*>f# z3vbB}M#tVv&c1yQMr3Aeu&bpJi>b%A^$w5E%+JqEyzcKHU=fuixgf{s>s%jUDkG|F z8I2gFV%p9^|9O6VhJy9rX=4Z9u(*`Wyy8lDeREsSz!1>WTQG8~AJ*1C{|ac+QYb&I zyqy>ZJtnra5D56D23&nTuAzxQ>Kb@G0VK{%kBrGZ`FQgMvPc3xX#NI0~EH)*l zv<8L46Nv47!&7gUz=$s`udV|V+OR@kAFC^i^HU=OU9HWH00^cIR#i~}1twUBLIEYT zcJ}u7_k-~m8Xg+#@9AuBZN}CVB!vY8L}bD`r$5oq(NHXob)ZXa38rP zPoF)xmvOEeR}y&g#f#&?%}l2}tCn{w89DfbL?@nJ?bD~V#p&0*Bs>lcgBE3_CM71uM~C|R_ymT>rDWt3Rv>T$5~;Pdts9u(o8i9p zmX@}zo{q+fM6U;W2DZWZjiVo^X(*otQN+&pyr%5fP=i zSs6*8&R4~Fg_Li*`1Pf4b{$>aT|hZFG_n?2m=btTe6_A^ z*ZuU)^{p)Q^Qd4AW*p>X$lf*KBQN5R7)bJdB+U-aZ4|_C6>2)QP|Pen=e}d7E*hG@ zaQE_o#1&y$TQD$m=k&_z;tJK)?JRWb3v)B$gI%qJCNwlBJ|ZkKGVtk1%BpHg84KUA z==jvE?6ml($e8%#^jt9B^*CHTuDRpo@JnJ%M!27shoe4!9y8Ctoud9XUC>ZN&YS}c z{qOxxNjkYbPHpbbXG=8mbuhN@kBhK7ch+-Z_?&QC+24c@xX1BBR5l@gK3%PT z0!k1qO-Bva(;n`(&Km_)4}D@5kUFEGab837ik_+E(`Qb;Fg>5bSL3kx^SyUiYd>@%@qAoRW|C7UWTE z*>O<)Sv+ctK}g~JIkgK0w+t?v(KNAfa`6a?PfJP4D5|I^ErnJi@x6oi3>WP)$C!(i zDVao0>}^kX?10-U2~n9*NlR0^yg!mhb?}NyXqdOXqhEMffVY1r#7czZ``kU6xZ{N6 zmO`rw?0J|T`wt)e&jkBC^eBHl_qu;%ZlbsSW!LOGx~SamP0 z&`A~5Uo#lDd|)Pef8?9++ws_5Gu5shS;XFCof~EBimujEITseu>Z}c6Mq=6+UPZ-&TbpzkG8qJ9 zuHJd<;G@)%=S`&KTR?{o;yhs^{-H zJi4T)rhCuAu2`SA|EP8&9d?w5M|9m?uM~ne&*yBnq5_g zA6%wq*~aj;v9NsN4buDknLAEar}y!1&0>yuz!napHmdx{w3YRslB$BV*a1b;hXxkm zsoocLJVX5aBO|?>{Gx-6n6q?Y2K3nLE3WCm_sx9*9Sm#=}1(7?R%F z<8Nr*uuSo?sC1m3>I38MJ={!VaStPjeT}W-U4f%bS(z9yT&c8@ypR;&ZXrZmz?4uckg>R>EHJ9 zeWGXb!o_gAv#HYZ5%mX<*wBEOjHDpnzz|3PBs9=g@3uQ6rU;EhzM`ed&1McLNY?%& z7L9;6P0e7_;{xs&xOf??g#=DhbE~_iw^452!O0^aAh7q4_>sf=cC*njcLye71ddMI^@*9gzm4`?JL6O8I_ITj)HGx%<^4oX zUa$_%L)7Cty6{MBD;}DYUtCyJUR8srtM3M0fq_+UFLn0$*ci6Qr-L+}xTNP_c66kp zFgCidt@&ATMOs393W`!tTKUxJ)2B|WtE-(>lvPrd;Q!d1m*4u4aiuhMez)*`zEPjV zrI$p*826`ck#X8>C#wjB)w3LOdOE7oM}!0=r1{pCnAm74>-PFaWFwpVXWoCHp`)gv z+d{WKKexCvGdVjm^^R&Q6C>-M{X!B70(f8TBTVB*inQ^JiaO(*mClc{+Ig(Adps3ICfso*x1PE#!VCbtGc=xzg#-CTUztll?%!OeQEEdl@CeC&}g#M(Yj*}y;DAV zVXt=Q-b>1iomCmd<#{Ap+J&vcJKKxfFiLCZ@>?3ZskgE15f>E^mykFnDY8#kh<67& z*REYVcXDy^>=&0(Ij4S6>u9&9tB%L&$Nd)yPXl zo$Tx!o;|g9`Gk7)x!O>E?mP#iiIki9 zeDAG5Vq9AlQk7uhRDba3u>)Y@?&jj=>g@E~^8Wq1#@DrVwJ&QMn^``!b8vEcX7$AC z%$AAqB(Aen#GH@-pFlrTw|7d9Js}Zs3GoT>(UFniA;CcbzCM0F-hO_*0iITN4-Kzd zd545T{2}3Ckccp6&sZmxSBKR3=Mj?Ot9NOh1bIR7^C31yXILIhAK|zG`F!kzgxnbg zX>B)uzrf%Su%QeK3l9qp4)pi;adon{wXt_{ar5%=3-I&y_HuFda5gu+$kp?TnuU3_ zyQMl7y6yZ6u$rW%rlqH)Bqt{?9!gocC$K|&ybVS!GMjjenFJba@PqJzT{(^Eqn zeKQNf6zPv&P&(f2A?dm!**)IF(8SsGwpdi!0q#&tm*5Qx%ZFAj{^4iAMnr+0hXx1vd3bnu2KwERJt{6HBPGbYbK6ndposX?^sMZh z+}xa;tn`%RgxJ`aXrQUE(6}ha>xN#Qf&LCQUcsRu5%JLwZ{OI=!nzb?5%tTD9~pQi zgzH_VHod2|bBwZcii(gpLr*RF%s(V7GBGVZBP%Bl?9_^i3JVJg3-j{}@^UhhW8(m{ zq}24ZR3IoiJUGD5-ya0BHb(bvTe!PBxw^Q9rhp9|XjcfD73Ak-X8=7VB`3wlMa85> zIXU`7h55JvbMg<32n&IPrzFHCCRMkT#KrnK`=#V3#^`0tpFEs3`X}vGEK} z%}Gy7j)=)CDFyW_Dk{p$N{fpMax6hpW#{ zN-eRJQ>iN;{C7<647x(jJ5O5d_R$EmGdQeM8$VQyY&QD$a(YF%l#yHB9!Gxs3B`06TbH!Lo-9Nvsapz%Zy44@F@IqBt9M?o0^;P_@+i2*!(rrW5EX&g{ZBmt*)#F|H_IBvoq4bKqRDO z7NGG-7xgo-)fJUh01O&ak3oYzAYipM)s@i7in8+Zva+J$nyQkbl4?YGL2^=VW@Joe zR&_@UlGK`#fJP%5F$j2F%RpycT^$??(3K{8+4`gvm7%bx`i90PJdr>k5{a#?tt}wN z0f8O9sc8clx(;4d4M)^~{dRdt5g5Mg?7XrXbW^FboLx1l0*(QZ5Uvj0K#qwp7!({1 zGzG7%h1FD6)Zpq-NEiwON0by{I=Y&mmCao}MA8V1292|~dpLQfB>4vTES<6AIA z$#IEAC@i)fjlz>i9i1JWZKSrg_V$i;QY(o>B$5C^d?S#8#njcIkjPCTm6cVs)nJ7q z;89^ViJ3_?jm;oL!=Rh+;6JdZ28zO>(O}FGNMwCm3+PZ&Yhx1{L+tKv%F3)m;F=2S z;1Ow1Bo>Lr5?b5)P*sH1=4JwsfGjI7%!4L}ER$q@sqtGZ|S7;0hi)(6ZZY2zKR##@kq~|qsw|0Rxtwcf#kFMw7>TCl+OivdGWIDULI@;Ta01yaIL3jh$W3X6sJr)a03kQsh2u7IL zMrbV0Z0Kog1NWrX7V>ZtKo`J20{Bhp?k3_}T03xPaHTOUhSoq644pviSAoP~ zz%wA4P*+a?!6|{*)Yyv0Gyz3)Hls=X-95eFr>6(t>Fx$-I>~t2+5m8}DK$2b?E{Ae zlMl>5G^U{*hi?Sf2wiv>0@IAjD@8RCh+QON8$boX03x;$+go52wW#{q>gvkUf^t|{ zc6KQW7Nh?-tD>e3m@q)m)o5)Y7D6K)SP!nTfo$P;3>;k#y3fg< zl@+BWMa2dA#lQ+mN=mEBk=2pWP;^a6aSa-QY9gy0SQrM3E)I(Z1KiMn!JwOwIr$Zp z73Im0n4nlvPa~+(1k?w>v=G1r=tMICS6kcMiptJyXuyM6)zbBP`1N2X#KAi*Lb_oo)jjSXs-4dRkh*ND(oW^&QPHEWWz2 zudAa8g+R6T4-a$?3;+}A?&<)e1=2qRFj%0YSm5ap2spe33ax+wx0naufIUD`0@z)o zc!o8jF^ve|`mtynwy6=@2pkp?EH-f9vZ`xf#TB(kR7Gxad0|0DRz*e*mK^*yHGmNX zR!?Xl+YT7KCSnU3iE9Nmj_>U69_YbW7UY!>dOLgiUcT(>->~O4Fjbnt+-d~9!IJ$C z61ZI`SOH55^RhBB(!d%X9~&C!9*W1J3FxMJG@=?=i)jKr9fJaPPeub)nUb8mk}7z0 zes*3)9t>8HQG>_f8^F{cJ9I4B${N8+06y_8Ex-rhn}J8}0JE#7y%m*LN$lzA1e2_{ ztEa02m=Ljr_+`G6R|8ZX0uI&o5@N7Rt+39Sez=s)GE%+$Vg6#i;N5o z4}f^ex-^g)k=5|p${Ki04al3KF?C>Q%Zm!~va-^WqN5X2vx>9QtFc%l5{t$+qZ@HB zBrpM>Me@=Dygyi0aKOU>L;y^0Z+Bn+>+#;smz@M6sSQ|i2bsWv)&bzO0u6x?ZUBo0 zSd_q?0$Nd8Q~=B;E-o@W+&?713t}Xq6VuXO4fZ5(L}htV1yB{ds-mPIH#03cAucu~ zBrG%q)zHx015BW!y}Px(8C?OZLx7bXiKs(?G$0Brkf5{R6OC;GxwoM=Z{`+W558>1 zfyEsp<48mjsg2YEmM{`|O$BoSXb03r0X$H!M=Qw6OiPN7i3|<#_xE%4@ltMFhO{(* zeH?gH3bGSeBm!EJmzhD{BSwS=1qSlC!qOLMQVD6l$hc(P{lx&`zCzyRL^^bh(1EEKq(@-nd7%Faqj zN{WgK4uE+0_&9m{nb3UjsI5a+f!%6$ZUxvi!7EBYjwn7B?74%2eEfV}GTZw{L9Pi~ zkH?@}P?-gAuy+FkUjot@MFoXSQKD+w)T^kGv_NTz-L91)Y8>?CvfKdfDVr3;@!&hDkK8wLtIxjCf6GR~~ zQ9=GbZtlB%W6DQOv5S!7*ilH;6|R1oHo36!UTpXB5OV5lHu z4D|DKakPJa`>6{*a{|5wn(pHrmy?>16cZB@5gip36A>O7=ihGJD1=XkRLB7Dypb!Y{V1>`o<l9WNlq3X&ghz)$ z!U6*zegOe~5D=^Rc(^}(W@Git-q}AG5)u@i5E~H{9ugAZ2ZCvDFKH}B*w!pDl9P2KL7#&;bbU?M}du9*snOWL6 zyLkqN1P2EP`Ga(WtBWJh$FpZott`y$m>3z|G}OO#>GD-AT|?7*4<49a*Slry5t$b4 z?(84v;qD27PIn&w-_ygx-No7Qg`Mq_Csvk^EG-{fSw4PjZTrOf*^|fCmX=nQmUoTs z>S>#6>^BE-Y_yxB^K%EgM^@%{?%guIf8X5diM7Q;3*Bp4T3QCC7SCQdIsvk?v9Wn{ z|Nb2#BO}A>*Y$L+UAcHcL;bX}+(~(PdBsy_&H_?b|K*&PrHg~5jf>L@2OCQ(Ypch$ z_VzZ`HslW6GSb)9(Y~gur>&!>f5T8u-_Y>J4Ff|%kX$#puBCPEvXSgQ+r&s;m)kct zG9r3cH7{Mdcm*UzbPcqxU00TqJ*jY7L&x~mO+%xbdY3PpKX*n&Syc_>&rT`H%SauQ zk~%7O=zuVw{Ra;n7C&-CLh^)+jNF+Em-S5V-Mwvc)70!X$O0Lg80hKi>1bcpIIpgH zN?AcsMdj2fB^A|Es%K80`Q@ytD!4kWs(w~cU7dqgKg{p$xs#`~v@WQhl9QD^aa=}P zMoCFtSy@hzUqFDLZ;!Bu#0lx6B0>UuJe;g7OibH$^6wE8;N{^Z(=JZ7ZQEGcc5rZT zaqr^h=HA7(ci$li3GowWG&RrtqNyQwMEZ>SX%!{q)2CHWDaaf@Dn>?qR6^p2sHnKO z_!08Y;X@*a4~vK&J0d23WTx%J^SiS9_8nC?Au76`hgV=1_ntkx0zv|N1o?J@o6Ezh%sUSs?oRFNJ7~<>a z?P&Svxr>LFyOXnrFC-?T7zEulU?r<-CXxSEP*->N;1qb2QSwa z>aFbTJ2*Mn+1R!-ZQZ(so}Ph@hMJOs8ocVI2A|+9CwL1?OV7NM1$HB6mjnkD9qlJd ziZ|_~hRU)^XgRc&yug&?7hgQDrhZo8xP++ak;4Lfhfm5L-p$FeospSWSdfdId#|XJ z!Ua>C7xuu;9bDZ!{6ZpP({c;TVRa}Bp?73v`4c4#Jv}Yu%IwVhm6Z>l*1`MC<+-V; z>B+HI{R2b8ull>&T3Xsc1knF#aNyPJq4BlZY^xkv_O+KoyNl zA5{T=Rm%~ii@+PN*wj4oLRAT(TM)IQ$#34kJ`Sw-SVUE6K^|Bp(z7y>6O+@@fc8Pg zD7UZ%jYM?~Vsc=U3mvfPvXsClssdbFhwB>gwdj|l-5otdOoN*lTy+-~e^Aw&hcQ-( z&x^aEiI=guX0OuA7EF!NUIV?Im zKRF`U+w$z*m26Y)S_2A~&-1xkJ9b=8OYzZg@zUj57%X#*XT19CjugRsBY;^y@!zV9XfJs99Tue`kunr~OWRZDH zCt(~`R8f>)S`g>&ZhJwZp&C{m?QHEHmY7`%b}ZGnR#dX5M-r+7Y|%R!5ZJbsJP*f2 zEU_xa)kun>EXY=arf%iro%^=g@7bB((;U@38L!MJeH)UI4dz4m%_SDfQRB4A3>Rgp zON^xL;&ZgKm<;@H5O z+1@;N`;d(6EcpEPo!clD-p;+kSEl)!={tl*K?2j8=cpJt1cdl@FwxG{$38gN$~%l2 zJ3D?UG$Sd{E3y;~%L;eDSmR^UM9sFHdf_A6eku90T87uP4IWtCyME=`WrgdSibsS5 zghY-?9+fyIEqg*z;@I({{OeWGQ2LWb_pTmgTOMdCi+K7V1UoZQVsq|sWM+2t>@Eq> zolJuIAte}GT~$S8O;t{a^#!Ff2KE7Q={dPM83`fomfCXsR6WS5io9sYE2;*bF_Bih zxq)?yjXPvWqUfFS=Pz8)y8X<>)d}RypBkJ|Ja24iamVQ9%?qdHPaKz1*EKP|cKW#J zf&B-i_5I5FS3XT5{Z9;KH0&~osBD|~yp@xWpOf}ArnIoI2->`~TA)y@JC6-EAH`_KbtJ&Cqfmzu^&+ zks4&OtNO8X<8EEIkm%UhxcG#)hyV{KyJydA?VNqW64KHVBSA*p-{Z-(Zn**KJ_=Z zPkdOLXfDf4OHYpQdV1U7s;U?dm$hG9Zg~~7I43P7H6ypM7#wbafecc0M!>_17w-6G zAX>Y-J3wNAfUieZLo2FaAfZW4f8YsieXqyg4B&G8jgIc1rKV?Q-^s(r&(F)jxY(NG zbxmZ)Rwh=i-Fx;O5|=n~jhrc)A4hA6wb=;+qy8ZvW1<4X{j;($=Q>d zj!6w~nFLN;>3sc;f_BRmdg@P$vtYFvpO~0<8yi=H_N+roq`Aa4G{Fpjla%nHU>=GYOW_C2%rogOo9Kj*SlW&P-3wzFYnT-tcW@W?|XJ!os|jk-QXw zlRe;=4;?)NAbRrs27%K)>#OhQCP%@Eq84mbPL%siDVCm8XG5I_UWrxhGt}F5?Uz(K zuWfYqf%$_wMtavSU%h_U&O0Kt5L#0W{YDwHFQj$x(CJQR^d7Z$LGMFX7N2Zy+uB^wzT?@f{KQW ziM;jV)@Q&()+h_Gn3EWeXNwi7t~*O5|E`l6lxh-SlR{zxtVu_xalB3tT4 z0b;{k6cym|Ukpb{5pV*!`UcbwefiI~fCCIzANkb6pV1ekY#>)q+^D+==T|5jpD+Z1 zj7{M;K!3*b`)6NN3MZohwAp8nB>z2JzbTM>1zLc#wZeBuzPnLWs3Fh#4OD*t(B_zf zcY3hj#vSM#G>2`lRrs07Z-9WG`^H?pz)=1ko1%g|3{0<@zXpg5M?n#&c2oK{tbm#} z?|>cr*sl#l8-?G@rj6RlfWF5A?tuT1|En6>=;2q{Ke5^g1OIB^Uk&`Lfqymd zuLghy{_$<5ii*nrrr3XU-wV)?>3>1=kK*}XfP88DFP?uuiT|?rR|EfQ;J?topRO01 zi6X%D`=rqy-2E5Qe{S*v9#{fBM;nFrs?247yQ2ANp!bqjD+TPvpkapHfiUm|2{{FM zfB<~^lT74`&8v;uUyHt8R)fRXvhrl8ze7I){I<%E&%V9i!19CCuj2pW#RhQj{nalW z*x*Laa(^WSg|8iheTV;hWB>{II~$wyCEvdBL4Kj|9ew-ox9jige8cDG2VWa)Jc7aG z?kuOu+DfbVSL2H@bQ)7@)bJZ=K|K{BR1$IL?2 zc9KrI5!UH==bhtBu11SbsoXeT%OnI!MDy1-de%NXuWqU_tDIk4s7mc~`5aTEBvE?n ziZhk77t}nLvVzSFf&(gP#}B2k5?6L?LVtXePll>X9}UCt@Ij_Pyk*$vJz@4V;a&gE zTdSF2qYM1KXqn8-$dYtftFJEN+#8&Og%bl7m^I`6#&P%tn~|?iq0)& zu1OcFif*P7W7+z3t|YwS-qd*BNWa>BC-$obwnF!je3j3MR zTr{+<0++M=WcZNAx!ZR{GLET@wD&Y&|EN9C0_bXbKX?)%hVNWLRX7k;CtH#d4N ziHNZy$Rp0~p&l%cY4BB?t+({9;jIc%sbbe9xAbHPLgeh|c8%A$<%mLX5>o9AXX_a9 zhQG&6m=oIUo#Aa)FMwtPvhs3a#chtKYJBA9tsyEFzz=K(TZ1DhyJi2V5gupNVDCUZ zjxJof@p_o5Z46iZ+B-RYm22{?)PcNjVp*77(BRJAHdhZ{!EA{MG|#*b?;3$FE@rT@ z{X1+x$9a!afW|~tzZsZ-wsid(HOfrt0p37!F`4{rA)Jq zokj3jC9z?F{(D1IECPr<-Xb&=R#tBaQpJ{2y#CiwHK7ajugVLY37-0d{-LL<9d+x< z_+MP7*yEEeEaA(A;JE-r?RNi!z3gCZI0~u7uTRk&2>e{*XO8Mc-Xa$FDd+bz?d9pr zVcq1GCZSY9oT?%W;b_UXs{NBL_-;>A1XWJ)yN#2BZ=Mv4LCNfCTw9?lOZ}W` zkS&59l|-!Y;-SNVX+NBbxNjWdX4|@V8E`Z??7oWY>q%Xibum}CN9A0?Fg9vQ>K!yg zdjE=p&BVG@&3=D#PhL{YoSKoQF)=>^94UHY77*_^b5y)jdvmoay)>{$&2jJJ`r+-COqB4VTUN?LAdV^a zl0{;lKxBot&9|1l4v<3ty{*gwzL&J*peH9l#(p$<;}SP7n=B`V)UNFAvX&6SXW|7M2d$= zC~}IiF%Uy?fU%VmJ*$`L*`xf7EXhawu0t;GF3+kS(=k+ajW#;2N}U`Xr%E4#nQL6r z|9-OhV`$7QK0sR~n7{e#mUyRKoje2LXS?K1~ z0{LWOLX?v15d_-s1#x>Q0wrcXb)Byj)LAtemuVfl!`JBqGp##NRb>LeB8X2*Gu}PC z`wWESIPGG~&iWBSdZl~HdVUi+YrGRHy3uxesb9E@L&p9=PAQDV3C_E(o z(_gn&UsuKv`!X^f7zl!Dg3D!onVt4JU5X=^yd{^wq7VCq6TQRUw%Jg6ipxJc_SPVr zmv}4rw#PAsox!eivk)QR6x^bfj6z*``Kb74^S~8Val)#nWaLC&;LJs=Ivo$7eRe(} zv6i8|3 zsj^Bhc4R43c|^kmJUP)L$Bxv+nzjuGqnLLlXJu@YZ*VOW<8km5X(e#zB&18hH07Q8 zR%lTaYM=T_QUGM0!3kw^pJSZ}>tB_!sQRd3$gs|r2=~`+n4*oJB%kI<y9ZUo*&EvvoXj_BqLe_$20cDqBxPKnG<{aIko9J;TjJ#gRQtXEm zSZnAB%+JdMc{0O}Z~^w^BwcSDS))+9P?7fMSXgFt9j84_tjW{S+{Qf-J44Z%G}mv3 zQVt2r3K7tOSu6?tw|w1_px6_^r6f!v-NrKqmdFXr;vWf?sQGK*9mN>b7$i~N!{6dO z>~7t#4FfG-40D6{vbVbW1Gn1J2*W-~8F$A1q&M(7TE>8)nXLV;oT|qE?aar^o;1&ddV}+> z2zFvG^YV(D$5=z4sSUP-!AS6>Y%#?y>yyULY*x;pBCPhk*3|=J#e%;Bl}J%PKjp+alf~z8~r4W=zCU{?*p8;IW$Ox7|0_XU;a~Zog+x zsN^Qe?8r|Yqm5^bX63XYY&il9efB<;H3*1zwy;P%hd`C%8s%J8k{^j4xY(}LI0uhx zMIHP}HN3-={<=?p(75OvSO~Mb`^thL9-Us>bgd>!He|l2__JrL?t>tU|DmuEHc7B5 z0P1!j;WiFwtBY|7R>ntm(8HmiAr19Oq$6_sh@SINQ-BF^*GAI0^v+0)VfX$jMXRmw zTwGS6a6YbK7r0u{@m~fgkJO7;Jd4-Cn;oY|UfI4lTL_<`1Xm*-LZz7Qmja9Gcgbuj z!BUtg@m}_`{Y4k8kN6f7d5Mv@lXv+#&AvAjql(bao|3V=GS`*#rcq(SG#&W85 zQHd%_Bc1OrDN(2rgHabNz3>$f@&^k)fzryqy<U8*Wo9pSf$pHiukv_}Q?SSzOToH-{Dbm&vXn2%8IxD|e(e68{=PJU&EWYOP2_0M zLaL8Tc`Z^L>3tHXkdPZ{XLASvhr~+bYPplMYPcrSyGxE$!fNxIijJxn${yO-k&elh%c8@#!az;c0;|dWc;Iq zr&NWUATqGDH+KnLh=9cmfgpG^=382B%EEDW-winpYw-l4G}$-8+Lig$p&O@Z8Ox1K zagU%@YBRlUYKM+v(IDOFjfbB2LzYOVR50!QPr10FO|H)N4eo-;b+*SAhYXfYh?kJT z@ggM&&DQdcz84(PmZ78S!Y6?MLqNR0xU-;E>s`@tJXd%K2^s;0e|wqnc^Q18LyC6q zfaa-ZM%`G9D(b1=D6omnj?t^uYGFz0V--GY>7pwOPRH}y>W`P9SC?R$-yP~!>@40O zT(=2*`w6}sDT=%(?lfY6CYrWM*VAM)Dl;-Mpmxmlg)S9@ zX|LB_GmIp%CeuCpIy+Sg6Z{{U15-4bj)ra~S%l8{KOYe;E{)HPyT8uRpV^>&K@(vg zrP6*q(Qt`aOcwzxbm7*qM~>K-+@2F`>N2m{jpK`1%0v|dS`H7#Oh!&1;WV>ZdZHrn z77^3v!f5K7`)Oo~t>Waq9LZCbe3owyG-~80CSv&fR@|F#r22KM3{c8j8qg z*o`C+Fe?kL^GL!qF3fi3lbD8d_%4Aa0`TO1Y1IMOmGBA=f|eG%R~HyG`?Vu8 z(C6i2wWN{V1&G(*`(jF5G|Qz18(HtVCtS1R_N~X6p&&iSxE#~^+|{rBAcs3VUNUz} z1T|qDp5+wxd0mx=67+(#idoWhY7z+Mmhb{pUB=*CT<~WGg;EU`IQqK|2=QmOnX}u# z@c=O^t#SIGpW#xK!~Gkm;BgNH?z7GHLmt$+jmA!04C;={D!P+y*ArtzB{yE&{0LcX z-v4C2V8}W00|a&#WUDRe-?|8>!YEzovV2(bc?=g5iGs(bjYsX}9}8cI_(cu?U!@8e zFz>~$y`S`AI0XZ>Y8xr#vgIB=sa#K+v3ty8X{dv3@lK_f^Zm^anWkHF>NTaIm7j?@ z4R5{2PEpE1laapu-I5iAnTVd;NnvKe&Dwu9HCMjhlM{7Z9_hyyJf0^sA~5y~Xhnta zG`KWv^Oo{f>!P*;GNAvI+d!?tQ9s?ZPijec8;+-4@QA2;479t0y)>A?;-m<(DPN%^bMqC|em(qU8$L%oZM?Um8C{sVO2VB0Mc_5w;4kGS%ooV66-4y?b+8m#ta-qr5@ie z5E;)@oKO){jpFclQ~oL>G`7JS_JqibRbHM;bcikx%zj>>0A^%iS$|02Dd!UL8-7;` z5=c2ERx;5P;1P<-7{b2|AsgW<-EiT|OF6@A54#qi^BS4R0I>C`@zyS5hRshnDobHk z4P|XG9CULnYnKWq+ZnqXSwV`vpEir0q_aw`EACg4M*SW)`x}$8@v;osxn>>iJVo)t zw3y-p8h~_Tt6GNKQ|hL>&KG2YT2ywsRLA+U=%rp=3{c9G(0?#xo-m*+j2NHx#r(ev zPE%QgPfcp}V3;V~tJe0uP080Z*dj&AmY_blW59IT5oyjW%@=wxm-C z`pREvYZulci`IEz3rnlb&g3G-G?XV(TTU2WIGju-=Ublf5N_(`XD%GJa#;~f6UXst zVDbvyvf3FK%rKXsv(`Bt1$?ldEDH;1A27Cx;UO48Rpbw}*G;Uw>>o0sP;=yP6;BtO z^c7#!=&hL`RM|%?%b6hfbfqg83Y)Tu3^QP^Acvbyt1);vjL62L7O3hu)6F}Mp^+styzgK+ zG&;7CMF-Wy7I&w0ulPPERauWXw=WHGxUO$tt(A|WLTezXJP^;IotE=1HQiaKV@ICJ zs-(ehMEwxEDF(h1?qzN7M4a;oWQ&2GS%P!wUwv@MP5a`ngtw^ET*9UvOSU5`eQX7tR^87g8 z+gWPx!ECtnjLxmPaf} zdxp5lIjzp$CqTB*vFjjOu1#W&b=GX2k5P8D1hbB{o)mIw9c99SD=L?dcum?x2h30t z|2A@$9RSZ|O9nN$W7AblCzcDx;xl*C3Ab-xbM^OOPh?eFc#20R$jatobj%j#i?L0` z*}|3|vzR_oV-9I=(c-~^`)H$*blvrb?y`^0*5{<~ow1(2!~^@ zd_k9@_^cmwjPRDyRO1vqt(Ydr97^LFg^#m*y`o3^U1BIG$I&S(4ha|$%(~lyS<~$2 zyW}Thvqx|H%1r~>-cDGrW+6K^~JQV4iOu|ZmuUFUEXDRCnbfV_z>`7jFJFmNJo|0LkdDAYT?(Tcg9TWFrl5E5YFEQgnhXmyhRPPiT{po*W!pSnNd z_bFK8hjc86dCB(LNt5Y{u4Wxw$g&m0FPew1&qbx-Cp`sc%~-kF#j|FFz+b@3&ZJP0 z2!}B8T2VnY8-t`-<6_jX66$A0`veJ-!su~wfRtLo9655x(HHnK)HXfPLv4G0RQqJ2U@A}kWM=qQK^Bge#|7V2kUyM=k`yvaT5>#qL7+dcmN020V{K8b0VChbtowk2=r$Lg$p(2P8Iu zoM{;mZV^sGvD2|!ODF?~$MXWveR$~}OKjr)7%>?fS#~p{s$1FJ_r#obI3fLy8*KNk z2g5r@s!{Hj8iZ*zZ^+7Jl?f{?7@_-R zyF~DD&Zqk@;>H?rE=_c3@sPOySUL%BQ(S-6ih&B!X*vo+g9xLF&P;wTxN%s0@EQvn zTnt@4aLu~&e#zl98X{A+R}3xPAmYUeXom$%vSOJGNe75MBb_^Xh||ZWZ|(B6zgmm4-hKC zt}m{9N1}7Xvq%8f%n^u}si9{C*G?lnbWv~ed}#ouuQf7#6^2yj$iAsYX%l$lq6cKk zaK`E&vf#3)FQH(TJr~p+(o%}y1?Je@nD(pEW1b)`1Wz%l1ssaSBY#yZqN;;Krst6x zi^c{5RRkq$>q;R$M6AHrpzHqLRxT#xyK|_qV|YHs1(l;O7@cJV&DF>Wwl;~at`dz8 z2F2;Aa5PW`iZ%9)pm2fl-RZFjym1y%FnU60A;OS;&DB1x_j*P2u3#7%kCiX%MVKJJ zY}v=KvMLY0fIxPvw*-t9D*Rv!Qt1jk9tm*}m0&wfz}O~4lPQWYgQFW4@~Y$Gf-l5@ zVet(3V(eVSSGMuF5}~)*s&YI&I$orgimX3N*dPQpyJ#s=%{3Q#wUX;S#G(LWFHp3Q z)tkHZ$I7Y;h#Vhbho{#iXZ+VKwpM{BaSKsCi!o)Lg{?^KorFZ;Ch9Ejd$iW3@s0$d zOmAZ<*Zk&4r+A+pzdRvB+F}B6Kb3Fm-Ojy;t9NIp}Q{6{cG5DqOOlBsfEkOh&5t5vQhnx+4Rc-hbxeGT> zL(pfW!qHSQRgaEj^7rbr+!%oP_yrI;-JBOw-U8?&W8@zWh)>{ z6`I~!kLr8ER77TTa0MC^;f96I20mpghPA@BMLgE$q~%S_);ihbB&@fO6zw`?CMNWt z$W^vt{i)@Xop2^gva#a5@=U(4XV>8_wq~r{r`ZcbpAU&~KLj&!qz?e?TZkKH_=wy&jfw z0_v9vJ>v52Qy*AQt3XvzE&2{B>h%(a+^`T3dLo`gwyD(I)9S}LUJ`T#N`|YIN}WVv zLZH|oLMHmd8LdUD=S)$NAF{^mBeMa6Bhbo&;*EpF$eYx_C6rV;bK6u1`6SumwIj`r z2E$_d4B=`ZIyh1GYQdPcjQ*&$Wc+YK5{1A;gH}=*>2z9fBe$n>U)END0GkV)WMiA` zrVu0e%!T&Bw7tG?3D|>+EH!^>Ov4t_E}~q4kBQqmbgmeZME;iRmtTVIRr<(Z>|x1r z%!6`-pBUuFveXhmq8(K;)?7wseHD$HW++n%5jSqyqg=zLVMT6q*wj0llMy!2d1{t9 z8fmUxfr|uqmYT8c5T8?$p!Vu@I^gfEOnEG6aO${G3dm$qYIAUi(Z|SJnhW1VyNx6E zlYUy!gaH%-5kVZ=CN>%T&AaRUlmPksAV6q#SU=7>gB8Ri~+fK$g)P3$Af zGzBtD5j*^moP8{pSmdIPeWS|6uJDQe2@m6>M(|l(uIhr|-0Xpg8&NW6|6Xb~7Fs#I zi7#*9sWk%7r$%nnZ>H$|Jo>(##|(zfen<@0;#;sQ)0!-ZNMqOrb@n^WIYsFsF?V}P zPT=LPanMS-XvFF4%F>d6f#@1bQc*jy9HBwQet!bATFbl1xJkQ7i3lR7aNcL&ft>;L zsCe}p9|Kt$#s}!O2GEz1r$BZuI#C@71@9Ubp%>Z+U4`wB&H?bljL&va=W=^Gam|gqxVX)5d_0zFiWT@ zxS1L}DmZx4vI%WPm2v!7BbZuUk2R6QcB>;1v7vF5#DE`6ubl>bhwkYnPf8N~lUQ)O zFj5j_iB3kO<=Ca4RK6weRP{h5koVOc^#lsf8}E zN*IwI4Z55~bm(GB{qY)OddW3yL2FVFZ%^8d;^?TR`Eg1r(y^MQyT*=zzhG;t;%*rc zG1tm~(+u4i_1+^ru!i!Pm3iu(r0!uSE_@WqLXxt2>yyvMXbkLAOBj6PUpUwse;_$4 zt4LWJL6cE}rr3Fb#OoqRC<#YpdpYE2X%T<&43oL#xb4m)lcpDvkvvwCmoc{d)E0p= zmReCm!svqC8On%c8R^+(j&GiVa8>P3uMQxvX{@%pnhqs+wqMTL;KRavn`F0^7(s90>sua{(7Wv*RT z=^2B=Q2M#9XL}b6HG>rqlBqVqwX2!3o57+FHl>xVly;Ff?5R#+q@(FWvx0A>8A#+; zJ@Q(GiJs5{x{C+;aX|blG+91;h!|fqs&*jkke$3($9#pDe0Fo0;h2L#K!b>qL{A?v7Q?Nk=a_zE zC2-)*Kq|iY@^iWxlI$X&&kNUnip~b^8&j*U*(a>+ks`+kebS${9|0+h5Kws^eP&)D ztQ;4vW(N8Fm?^<`bA9l{cC^gXg7)bBA6nP5s)o;1L?a)QF9x*e>sJlW@WU2!I0&GB z8N}A*NgF?_KP~NLfbpzJK?HrB9F!qaXnUFin}HM@ z`Q(65eW9ACPzdkzd@de!aP~AttS{B>D&Q+*afX6`Cg@Hb0x}!hUZS#%piYVE-9o2h z6YHKO&ZpkUR~P|9ts5E%^*OlP^2sLN|0E)`^c;b-jWtp4r^*UG+mZplloioui>nJN zykK5Vka{m{SamFK%OqbYDH&e~cjF{-+G)~5?P9}57_|^6zDybsTt5c$ z%>%4l)oTT^&DdkvV`{k>uj)p?Wx28D7qWbruv1xcG%xq|bLBmko-jgGrW5+;6KX$# zFIrRP#$1L!mx0qs5~eJ{92bs33rNjoc1?eh7HTmoEDQ0kC9GVomjC#M=H;%|axJEI zXPvFR_ML`X?96;BajmT}_)1JayCLM&m@5RAzIMr^&G~-qqgup~Ph-eg7%zKiv)A{L z(g~>*eZ1ATE!40Z(;pmQeuCBJz`nB@?2E`rB(KZ>(O3B;@&rVYr&P56Km-5P4n zck^w5a45;WCPpx(9VbX6-w?U*D7p2dLkyiIH`9VU+ezweRHzqaOEMznSH+;>RxD`+0MJOLxWVkOvrzn$E>E5ziz_(d^ zIC(=SGkh4~ZX({Dd2lN}i086ml4@QxHz=zg#j84qZ+PL z-^Sb2@6;5U#P_h zWk;Rfumyr#9RU|ub^hXL_d=2VN>F`$xm1!$rFC!xOH2B*t$1B~shi^mP@raoqUUKT z%ZTyn0>@#Ej9YS=jrFylv(5W@ErU+%NE${P%@@p9zr3ObLYODWd@{KTRA6 zM^_{~{ODfU^qLasY@!G>TE_N_B-PY$ZZO$=ZTYE%_n+kTpCn}m7phC)DLpBy(` z!PH*mo%6{FtP>e8gXwsE*Z8>-b)+(>Jz+LxcF`WWi}tZ2LsA4?hpgEv7$h?Dbp%zy z4Y~8=J!CeRgIuk8m~DbR{0A6DPZvV980FpEB=A@yFald*yrsj-Ln4Nv%AysVDecM_ z!y51~9t$H-YYOd>OE!nCC=X}0dB$%`r0Zij1BMINoGBZ*%Akxyg#%&}XhA`+*{yH_ znhsd$(qPI7S6pT#P!!(~cfS~s*S+cKO7%mXk0|R9x->_O*=Wa5C8I7dOJ=c9tDl~i zm~@XZR&{OA$JhpQrB#TaHQCR-f#`U(<87{rz9Nj8=iT=ISx)|+We^jX_lHC$x@G+q z37?7(58-;g%3T^`Ac%c4hUGs;K)w1?mgHTDIpuX{w!f8$ftiJCRB6xN7pb7`ugKJb z;=*KqI~B5Y2~_gB;}yIfO~ju4~*e z^Z3#ZF(oY{Ljz-d1H+R`d#|`6_F402x|#c20Vzmo)(WKmfe;D=cGC?wC@48qeOoVS zRQ)0O5Rmvw7DXPW!w^6#ZJWftgCY(wUFfPZ*i1=TT3*A{(h{h|12vzla1UXhu=*}i zN1B8Iw{v$2)gdwxt*L{Pbl;uFP?h4ASc@gm zk@*Y60Hku+C}5ahW5}pC7_Hxox;3gozHr0!6|Hkm>;Zp+c~CAEn*6D2h)t8~nrf4@ zp1p^*$0A582q4t6kcgyd(r~CC^cpR!wURfMsQw`dLeGgD7;Aj5Aeh=f?3 zEE{4>5P#v^a1?#9paJ#8i+D(7B8@yo{M^$QJi-?&JihMXL;AM}bF0oQ5xTE#q19>H zRD0tFr@`OhG12d5NnTeAXllNtLz4fnw<`XbWbHVxq-{5K8T(0ro}MYQ&y?P3@FSA% zJ~#B|J+uy`H@pPn$>inCxj4+uUDNowfy1fqprxSZ7BnicknaG1BaFxS)?VU~g4;z0 zv$2xp&&J==gkjg|SAn4>%)w;Y>Gu(S9h!+MbXNIG+S0u%FQ%nHGmq0+oZx%sxsmVP zyuNK*&dk3kr0vlN?`$DLEa%R(e;(@(qNx#wk{%u@C+0-?Z|vWn@A zy*>d~A7gVE{@L)CS%LpadMc2ZI=&wT-(zkd*NBu9p6uRiT0uO+jWCzV{;HtDMO;mF z`-ngd{-;>DY-`-fVm?1QSU9F)I3hPd71?8X1%^D=R!UTzVXYV5F zRlgmC*C=FAN+jkR?OZbJLrk*+g^$~$3?9anqED~L@m3867O@M(=}sbPgYAW{V*LQ` z*FHqQso5TmdtJX@V$+FU+f0t^-{beeB>$aZH2j7`@xeAz`8+J1FstMu62rqEnledJ z5bc7P;sLZ9&39;9FBeC`Hrsx#cSN~LSes09V^ce=!sx$b7MjF|DV^32ROg!OYH4EK zL-r*OYF~8aq2>Jl&I#cD*e_5jkRZ4X;==pa=KwH0>dl5vv|;tEC;+4{?@UPQ@S;_) z4~l8R;etWx-)7TUZ~5=o`*Or`M1h=r_!uf9(+<2Ae}KBuln zt!w&S7c0ho)tVV5iYNOX6WI{ArTuyI&^5{VU&n;%x{a_-7MOGz%HNA;;EYHy@`xoj?B!@&I@`ok$Gsx@kb6@<__}hQW^_{xu#qs6eU0Xv3 zYiN9(Mzs~V>o9(P)hT;yFgF!7Ox=l01Fr|s4YiianbKbzk@}Ye5u1CqyQ*@hT9G@- zkk_s@B~b0g)gQ4E21~mV0iA|RtmM=hCGUA~pZE-0typ=nmq2nNE<@*LQOo=J7{Sx% z2p>x3^NSQ+x540%Ln`p*Z_MzqL6r$HsRz%U%*DCgwhv!3pDyKCKkljBVAQ`3PvJr3 zVmv=gyD^=;BK)EAQM*$l2WwHHY$*@I22`B+6iPt3KMAIxSA6h3#zr1Hy*8H>2N}UW zsKLW0$s>$^Uz$c2Am5BbEQb$K{lea<#;DRg#=9t=lV?({G-Q@Y2zV#5BwMXO1Z$*QUZLjUoc~*9`&BB3TmN;%X%Sj0R#6p3Z;y- z*Lq2xeO(Kui~c(uKAnB6w-BSEl1irb#7%{?n*W{GoVDUHgLy3T%4Ehe>5_W+zeWXm z?V@Y=icW}mbau%dJOnQ%U@AT5YTzbZ@_;_t(E|8nsvoYf>_utR`s%o4S z7-(FA4?5mk%V>Nu#XiWXN&leLr}aF+tD-+-*>+^n`EAQ^Qzv7Y!!!caB$CN}ZPqN{ zrFTGhFQDJ{!v9M3h3>3(37Z?EJ0tjvFR1*%{+_RVdcqfr|AIrD)QYQ?b9f;#P>42P z&k|9xKb`3MTY#vdy4~oaulw{Akf_U#^T6eSmEbHHV?LHudDGk<0?EU|KibJTMifbN zd^v9hiF_9wz2~HNunMM$hd9%ajk=mx=5@$awv4g6vF~5Cs3L`3P&_xq3Ej>=FWNt5 z*bN?V`VpYVJE-F_psbwJU%D9DT{kyfH>8<4e$%TP(ys!0e)kQe2#q_>92p#he#Pko z2u~JAJy7R$5jmF=l^!lQ1o_#y^bThAYVj9S@AQd-3pf5&rE)LKF@~F23$U%`B1K}F zL9Avi(nii-%{*+D`{0)fxgNyamKHBx4oLzWtoyg>EYT~Q%sW|n&@!IM|IU?H%rVx# zbT4Eh(%ZcC2m$_Ez{)vKG%mbqlpy-CDEVUx+h^>+u5{sjQ~2z| z#0Nd|YB$nq>+~$fK}w&s4DZrC@nZ5% zr#-rHoshAQ#f2M4!5yxO{RC@erO`O~b#*k@j`gR$`nT(UbFsPnXJu zvLe9{R5Iip({2K{fvUyj--nQAejG$3+FE^d^`Sz*23#S{|6V7`6j4%=EzpD%sEZ?| z|F`ZknhmRoNAa#x52e<#vk7X7>y*p>c~;YmM;xv^QpvTA)uZ^lSIAO(&RlY*oCZX) zi-3zA0_#}dtuEZpA%aN@oAZ*gnp}Iu?Mc-!;X$mQ|C)oPYt0J0*>oXc3{l+7N!6H( z@Al{@x;u<7Py-%+DE#xVUZnWwf0r)=>5Ufq<}XJg%I@|}t-}&VT=dT>#rL^IG!Wxn z)g_DgCf&0C3MwG$u2#q-Pd^OhBaVw6vr2faF=)n-rMX%(>3aLvOv0Y8uHnV*Dl|4p z@HM>NgrIgAuf?y!7iEA3Ir*D6>j)FDarHgws{k&B7spdwVY9YbmdORp2&Yi(_JGrp z97#~D{qP{Qp>i^3=U^%TAy4W}E2=qzx$VE-?&Si!ctRW-F}yF3v49HYmLFVoD$rSN zOJ0pM_3+UtYnqImSO0z;Z<&S?URo5Qqc~37E|i*t)G?)hC2w*3c4G17jXn0-3uOHC93^T322J%d{zteK&`EMW9V zt`#n7aV=62F+HiQ{N=|K(4rfxXPoeSn#Id(B1_M}A{lLQ9A&%$>30ReAY$D%J5&Ab zH%DzaCNRAh!puwC(@*~1pIrM3HHGno4Q?w7sZLM%@_)4 z&oC~TdCsZtdq5>9&P*B5zo)2bGVD2UV(t7XX;N9C2D@XS_A?i6o~JqRS4Yoiv0Wh~ zN=eZmr#|MU!knJxnb^3bf~`i(fYiTv*y{zE0K4G$w^ zGOu5-QRr{nm5vs+`F6(td;&0xV=NV49gO1#tQI3FJy0cuS`69P|DC&8k*ku%`e7w|h|dIs!9 z{0skSyZopJOEYc1l!?{5HjZfPn#x_J2D@<#i%AFaHvWH=EiL^9rl&c*x}&sRGU0zz z(52$~9F;}K0<%3}QV)^9ZKL3g6IReM?!kp?wruu4!fb>q;Kp9W0{#rX(xa3{j;Ou6 zk^v3WO*lDqB-y^idMEFdj ztFwl^T^5S93blW{u_>bo2D2N>rsrK*Wl&`RyG4~O?)M+Fqi$MpJ%{X9@Vu=;?|;{r zZVA6ZGFD6_yJc`06aqMO$H$MJz+e~g1 zgpmO7`G*2H8W;$DFK+w3v@M!UDRIT#I1A<3MU$1Vp#Gp!CXhAlozFTizq|(3Ljr)r zWk8mQZ`_d8*613fwEmkS^I_5(Lsy3@^agwDHIHZ4{ra&(Xj-}Rf@!_;-fzoyQgCql zD$nA-czD2(X;3m9-9=O;5`#9BxzaHH-pchI49_1GySc0b`>*yFlsz8p5q8gFWwTIG;8KTQZ}-QZNIO~8LmtKI5#hSv||5!hMyk?l3&?v z<`+UPX`ypboh<%b3-ed22*DJ+4R#9*4E&ek4<*qvsdD+RKUXPpn+{BU+eDH{+Fo1) zRQ9xk>7l3p@m6?r{M=7Gy3!%fIawx#l;3q3Jk2o!qx*mw)+?Ll5heUE>!zAw0{w!7*|bG7C?NS= zeYjro%2IP`bl9Wb{Z8(E-xb95dqXS4hxU!u2Ap2Qp(+lye8lXk(ZXoungw#}GbHM~ zY(e$Z982XH0FbuQwE2sHfb^f}?V~6-=5#y3xhP0cogZ61g}I|yk+o`Acjl*bJP(EG z8rc#yW0_jUg7|j_OPJ5we(SuX`el_Ca4fMjQEJ>F$Is_MwDelJmK3JW_BpWMofoO8 zp6-g`3aXbs%|cbrYd?-XtXO2pxN(To!m^+Bov+cZDL-+l0Ld~1cbL?o)X(sNfX~yze8}WGB$GN;B zcok^;bp{PHMv$4hSXS+!btRUqk>>EFDoVM6hk$fPyl)!2{OQW?J1?Mc#G;|5Of_hkW@ zKX|~S%vMZ@bzI9~51z{w4o7!5Am#Zc;;0}{Zn<^k&4`G|wIOwU!+KotF=T}ZjK)1w z0Edw^cUTWO6zzBQbGLa(0-38K5NQ7rx1RcT;V%p(|78f@Feh%pwz>6d`AR)@+zIhQ zf;IATr$H(&G-x|wjB5`ijYiCfH{R_jkoF_o9uixUDPL@HFI~HAH>O!uonIS)`iq7$ z@F%EFJrug;9}&ti9awB-<4~(%VX}^_A+u9Uvf9Y1O9TO0nIPYuEhadZa&<*Hs!(l@ zT+6J_CLU_0i}01iCk50)^-w|hX=s_@Vk7;gzX(oYwQJH!>>0|H7AVIEySB@q>XsB|3htp*QZ2Vdo!=bIv{{FbJi6w_BlXaDDy zsiwR--2V7m_LtR53MZ@>+nVe)HQ1d3tt$fJ8=>c?ebwo{xe0dv`}&QVJ~NQStWmJj$b zalwY1So_5g$)+El1cx~<7m0%J;D-`pS^URN$Zt+q8v8}tP@RDB%$9G-dm`; zHKo?mK8=B-=L=T#`0kMSJ1;)%eS{veI3xN_WS|h&3yo54$vfj;NpqKg@|dJNE8_t6 zO`(6EGTqs;c|!W1-NpmVeBm0OMqK~vqS`(%5he6zF^)Q5j|M_F;UvcOn#|l;#@D|$ z>ixpsVt^~xAsWaOAN$0y?{QcW^46hCpvZU8;=FLwK`B+2XC)#D)t5jn_mvH&@bK`zLc94p|y?}0O zCFF8F;LGROIK^J&bXGf1rNF8_Cc0JB`CEV=QK(*MP|CSuRO1sCPqRLOe!PchE`1K| z9dHzVrb!wBQ6NRxSnePG@2FA5bPGQ4&0ZSv$V~8rphZwtMg>_lZS`Hh>*mOw>`N#P z^I5azTh{$~P0*ZkZS!Ado!3X)0E3H25wCV?Z7!N;{(m^mKi94skF;L)i(FnSSZ2w$ ztwwi>3k|hVRBKxR;oCUO6|&3xtz+@$2A^{IZde8r2#P08^j0eEG~r?XO&#*{pI=vj zp%i~r4)s03^-sjPFt$+IPeA6$ozTfd%kB69|0?L)Nuj~LU!`V$m-wrjiQJI5jf<-W z_*lOhW!K#ZQAJtfpqNn>#zSzK?k({eHgCqr2VWlWzabr5jRE`5j=+YhT$!6!ne6WW+ItVEsFH3Cl$<0B zB2iI5Q9uw>lxRdjK#3}-2m&gCiey1@&Ka7VV>dZ8p#wCbX>!gYK?N~@A|QybPGcTt z{&{!)_3mBk&0Y%U)Ty)gSKr=MwX2GT_19vjd~04ih@UZTkZh6N(f2fYOSmp9dzX3@ z6S=L@vWUG;%SPpaQyNs*?Tk5XRnwMx;8_~3xs&;gACNHvw}+b z+JwM2MRvwvdbFvZ!WWV&?g<=5FEiIUAs5w(l+?Ey8Jbl*{-JAPuSsB6Q* z2D5LJ3RvOG`+ZSVA%kxnRk9ReJt1;;>}M*?@|(Cll@GN_Q)7@PJ7v^dcf38AIWg}4 z$YBs)N@ue2dLVK|@gYwN9bdjuuWPH*%Hu<3osKHk6G`t}4qL}j2UlJ`koer`Y6VLB z-be9!=-80Rn{U|KNOdU(s?dYiA{$9-w+&1orfP=Dkj>iUBWOWZZ1@x9{ zkL5H2)~ws5~ej(o^J6QmRWmkNiSK zR03UAql?wK^nPou{ed6fwAiV?lBPH=tJ`%#;-fvee@NtL1b=2OkLe2sb2o$-61ih~ z>)G})%fjnTkA?+@7A}llkhU~LvMr8y7`ECc$24$L2^DNV8&936;wWg3Z`PJCzO;SJ zBQK*xCmFYfBD0@uaSFL^C)2W;%U199Ffc!IRy>{Dd-9Z7F#JJCbnl7s7ZQWLuE`nJ ze*R}JNk3G#Rq1-hFYzXG@3WB#3%%WBS03lg-x8BL88H@qbYj6^ey2C)Q$OED331Aj zeRSB{Wx>?^dVN|i_nP^bn_qD7Z%-q=lv4ldwr=k>0UPEdNA>Zs&IfxLee09aH%! zyK=2g7hA6}pK4$YscX3Ua>1>EEWq-1aR12<@=bThU#m#67ZfEaa%^ZrOh7&PF)Ke7O!&U{s|`aprT>P#J{LY}19t+n#} z{Z6OXjGByT+Tw-%r6ljfNH{;ZG8}A+933}w9(}z_WzOzuSp$MB@AgSkHFj*+`T45& zwBU=O^h3#I78|awcHF!)vJ4l3hg&`|TAvZrR7BRZ%{lF~pi|Kpy&IG2IKq~5yr7Ky z(9lD~OjT73)%h~33eV%^Rr;1Om##49a0+iTh$-${KGM0er|;QK-)PdU4H=YjSe%EH z-n`<&KC63#)4t~fCj<1|++|RsvaO3CEt z;0~s+IcrW|d5N`>ChaB0XGKgQt-A*!_?2ec!lrl_cHnzI4JGGCM8KN@h4dOMxTe$f zi!joyDm}JOcfHwK>(!^{k~}oBrTvqfCi!b7e}U(>QP+l0YKX+NWr0zSvI*Mt?~HGK|zP4lIY?W zMTR>!Iv7I5OwtMSnsjX;*VNuIRz)Lb4Y!o`BFH(!YX$7KH)fy%`xs^dUmBm5;xBY* zLWsqjxh7uFHd!(-vVVc(V{yf^ZHX1RSDk{zC&*2McJT4d*bwH7glRk`EpHhLqmn7} zirF7|mZkt~gYWViFXCNEcU$VXx{qb-xYtYC_?)m7y)BD}F9s<| z*kf`ire>3uk6U$r9c{H5JP$U65Nzz|6bP1C9#~(ZuCf7ZLJwxEKrE|dOJx_ z>YDZZe9X^d>B5%ltQjeN%UjF(0pBTrol)(6!(B(*8K^B@Oxy zh@&UHSoJ%ml$QiMEbN2K1-DmB`+CUki>#kVg*{dZmof2uzIu90t0*CW$IaxtQQyYV zQ7pH%8bzc16;GSlC!!%MLG=4R7(dqz+f}qsKzDZ9x&{v;v3Tl-*T?7hYrSjnczf`a z(5mmjGt&l+!rAa!HJtot-QDiHbB#IPd@O05YnKnMqPn_H|8(DE7$LqgtiSfOh{@5> z{CrW7(tAcq#-(A|veo|feeWH_TBrn%DjbhdS)W!sJzwz3n2&l&Xh6-#x~2zaU@S;i zXmwnAx&OvxsUC51Gu!t5Nt21L>5QSAt=E|w_H9rsmgbha=J@%YMCqk5yz+}z4m}w+ z;w2`n60Q$^%+}95`$TO`n)8Bj#vRzMwCJD?b#2k{1_?ou4Ta~~8j;NU1Tn0OtiRj4 z@Hznu+0YKfmya1A9k#V`9Y8Vfy1TkEzGDdOv#Rfgi@3l1fNb(^J1dt1Isb^UZguUv zYM=@UGhSePc=l!;l0qzg8Y%C`OVZdk}E2Y z;S6ayQJ2fOPrc_nEZj!_OkjN`qhSu5Gk50CM|qojjTGu9d0*6y(#2SR@T6@eTe%c3 zfiXizsWvSwqjv_1vFU(cNnkgfc8lC-kaB>r^|}%g_l8~P!WMb^=$C?b&(-l?d|b=} zTXZgV(k~v;(O6b#Lt80kjPwqu2#{i_T|V91wq58br>lODC5LyVchW8nyyx_)AG?#DL}tnG+$Qzk*u!4O#P$9&O(IL^nEI@aiBW5$ zuhhDY-Ldew`kSSiQy=d<4zJuRu5eG|)LRVe7hq)F-^>N*(M_f_oP}@s!*ZCTxv4kqvWR-F{wblI}fg zdTb#1=i71tOmuErOcr}@aPkeYY!_FXu}V12KBi21mD8Doqy352E%eEomP~!8U_peQ$B&SF->_H{-*L$tOw#Y$!I~R%}i&wYyCn2gPx+_qL6{h(xHBN z*YOi{R{mv#l(7QX3kx#Q;N4QG*Yip7!VkK8idY(Ts3M1Tro9gtvtGtF?>ThTKc}=U z`Duocpv zRG7!dA2FRi`5`01vtLIS_2Q=Nu>(~tuXHc7c^n^k=zrIF+Q+k7&Wtvf=Y+L{pSN+D z#mD1&iqa3QqV&b27n!xr+;U_y@?&K>U{-%%DcX`#F%OB?va>d9{zPxA;;K)FDk5*`hN!-PD z)0?hbd?&-+HD!6BGI`P9<~4R2zoWg5BKwf22oqMt&>K#)f=11HEtMjdx(nO`vM(Og z!1`?4o)|IZAezU2Y*|s;C+Ns49=nD+hfa7Ocpn|2aGWkC7DjvGMzbM8c)j}y^QAzm ze4~TfCkY}GI|x_-Av;C2@hws7`cIe+pSv%6`4jg(*J3MAL&j6x(gKRf>Njf-6SA{{ zE|;XmQt~o3J`!GRY%btC;ln$<|H`1T`GWsIWY8jMz%#8aakhl}g#OqK7V^=STLY}p zKGC!8#c4<0TS@SxTFe$9mM^I!9xw5KI>qYU)l`|9mYjl`8QlI+$t|qwhK#-_sbKlJ z!By5$sbaSScK#y=D%0t%9vOPkWP&c+K_e#?;jE&${Uz_o+iNQQohC82PajDNF?PVt zmQm52VixQ2PHdq$*UNjPbg`5x`#{OLXr0bC&lg$s_Pk^&T{lnGu)TX^25uAWlU!F~ z_Uz_ug=foB>v^_v<#L_E^3TPFhQLpwT-MQ!#LztCP+z#Bl^*Lcd|!UDP@lWtMFN8K z?6I)AiGuw7S#evhiYdd7>~!lr58Yp2!B43AX+jX-k06$veS zN?c~|=m;!d8Jp*Gepg44IM*r{yYpOCPimN*T}zUA(0Pq)+M!FX5mUPow=Y9VbG^M5g}+X$ya>D$6HtI0&S8KuYlu(q|pgNezpYmb=&@h(?LP>Lv5Gd z!@?Ba-wX(VkLy0;Fiu{$mfV=-(QPFy-!g@#S7Wac7rT-)YKSos4y48L=38>v1N^c(a3-LLN$wAhtd787h&z5%aQO z9UDcZk-(sc8+#lS>tgb#Es;;+>VeuhCPyVf9_}NN5>Hqstkv#p1iQyO!vat3(S@_1 zr1m;a-BB)7co4GEvEAb`YJn}?LUPwF+9TZzoq``_o)6HRkLZ~!WM=bq$kr5pK>6vs zNNi_IS=9$u>$y+mOq70UY;QmF91+9LdsrhmQ9eGkM(3jjGKFhzBpdZ`TEDfBl1}t$ zf3UKDS~?p*ofPR zpUb^+0~0t6ezzW@h)F~bhsB^$tKPd%sVDv-&Bo76`-QFHPu56TIG8wumM2O=pJ;nrzqzb#s~|v)eLEyp|n}ZE}{?o7qnp*f<#rz7AmxeJSlw z?)!gCsQ!-$10xV7qA(L>^BNQ~Ffh>5({I^AM@L5sgyv^~ioOfPsjeRQ%FbMGh1Y(Psg@tu18~Y|yB3ibs02L#{7CN8>v>!4`3fUwf0pB1Y zA^E)VX&uO?4Nyh~F+xF3MoRMO6_zVF72tI=gQgRB=K*$b+60oukk+QtH_6d3ffg;&hTU{YiL<#_ItiF5o zVtR6N=HHX5X*E9Wfc@fP)*Du})LUg_+-@?d9 zOTPMciJJeMa}s*=9Vz5)dPWuyLd^7l8^}kW*H@R9SBQ=OV*E?Y0GB}lLJVj?7ZoMh z`qG>E`PU0e%PWv9FD<^FeKtKcIWgRUEliFKiAX7Hon9fQrluhIxb*JbySFa}FsW{5 zn4;uYFC}NMvhd65UOS5E-x)w)Gp%Gi?~{Y;e>(Gg_SNF@`sdG|K7M%r{=@3}24G~< z3*^A%^bGX06eO#lZOf}4*FJp)1d(p6EWUpA=G}+orMGj_6BCoq=H_3$dj0m@($d20 z#8Cgh$difDo`$lF=m2lu@QmuN>4oJFZ(oe};;XZR4R`g}QVIEfIB@v&>W+{K6gvXzCN^5ZMu z;O8&r=blZDk3cdsI5;#m`D}LX#k1+@nc3Hi@7^uEo}YXEbf~ilTU(1lp)vLKH93Bo zdjvEi8s1VfY$1JyOZB`g`Z<}cYiUO@zpd9^u}Bg=0d9u15oAJ0G@@mOgk|5kTdw{Q z30a6j1iZAaXJT@+f9Tl~h!=7?maUAGtM5JlY@{S>?_P}c^$d*9ym;2`$a|w%)Pn7cZvAhXw{m#zuNuY70`LA`)`)qA$(eO+T7Cvh=#AINah0 zZEs189=Zcr8?G9ba%HE-z!WAawViw$=T@ezd_sbJJVLTsrVk&v`-ewIN5y7TG_|!f zb-nmZL9)C~%g(ix`tv7J(vS1gPbWsY@i<&VeNACXctAi{Y(jiYSa5JyOngEdEG{V{ z2T@krKxpr1!`GuQ&0T$+4VCb;n2?~bP+J~jk0itDk=nZ@^lRPsL-)TICW}U~v#@!) zy=82pnsG{fpopQ|%0%&*f?+EQ6D#jN$z#V=F5j|t^$rM$PA_jD5ZZ@czF(MoO+rUU zzOqU|OSv-p?DD zS6YLuElf{LPL2(9HIZrw$f%|;bCFa#lM`@8R!^Jn8TDCPOMTN|l_}4sqjtvCp#mA* zQ!n3tqM)IrqGs74xQkyz@q(tRvZm={@8CFiEf!e-FRn!62cONq`9MPQ0v#V15*6Y5 zP;DRWc!4eLUfra}@YCh2r}gCKcs1CW{cGNG9XqRZ-pDN|EFv~7H$OK!uc$aLF)TPV z%->FhHKWE5M&8y%&U@EL)ehd>S&I+Zz;pCa9=mWMpcEg6tFJ zRxS>XouZP*&Ro2pqN=5RLF<-#XnZETs0>9Ic}+?~))%-v+b=Y!nPTgrXS}dp!Jf1G z`L9GJ%dxN2l>#5?Jv& zPpDtB@lUD3H&ztZv=R!uFJ0F5^Wygn(DTw3i{>$kE~%*-Aq8^=r;q?Ar=Z9lF;!zd znSJ64YL~T6YxtJ7wKq4nc8x7;%onKJf~zJdHS45 z_I^ZpAK{L1Vqa%t=RDI9Lnn9Ni1_%J=%~;DUr+l7j?S0qJ<92mcIn>t2v5ncsP7z` zU3fKI>Mprc@30VuzmK3GsRT{Xo}Gau?JvR5%_<~$U?;b*q{yxv+nI$l3@;jlBzr0w z#g~^?VCs>Tt!2hrC*7gZ>M6TZh9{$Nd9sQKQAk%@BwKZJCDG`{Nkp!AB*Bo zVcwIyn;{ob*Eh8C^!4@gd2Dvq%G|)nOouCnD)!0s4PoLRX!GrB zu}cX(qH?*LYBzOE6Q5cD9RGoBm*8GO9T}P^?=d-ZXn+F%+9P^Y=E$Ml)Vm+WhIq#$y5I0hNeoXcEXc@3w^sXZ^WvpO?|zU# zEhuN|<>l;~kP;ah6%iN`2ZAIu7c;uBLBYr;Kwop7gZb9ZA*VOnM6^whZjeiy5ZTVY z1;0b;_4E?2R?-6hvEy>bjz~#LiU{y?v$Aa+IdPJPD(X}k9u*xozJ-yVrtP{?=pGmD zy)0BDBy?mwGvG5Td*szE`~n}F-m-k`7ar^r0Lw^m(-%|kC1R;bu{dG^cjUXFC`?ocm-bVWIyZHO1+(Y%iJ|HT3x@y zP-6uFIx5C(VyfDjW**LZS6$sSShAiF%r1&qc;t4Dy!cE>!?KM9b+)y#G`*^? zb5`l>-d@%A5t&Pxrxlfzg_sT~QU-ha@8$8k!L<;Wms}a>8*3D5!7O&LQa+eoUTB?4 z?A&=7`kbtdx4T*I%dlz{PQD@8%DZFVVHt(vvPX{{l@t>e+PQrj2PZc--@e1g6whnu z=*q1dL_~`mC^}w@N|&_Bh&6f~B^Ob_xJO>k+{)R_-6tr}-_Og<#qOS&sh*aWbYoEa zp%bE_N_w{}Z(qHo#r}4=s}83lOe&JXHKG}0HtrEBpDDfe@UgBF%wKk4m6fy$4D`W* zCRiAY;s}?3sDiSp_KllHw@eLgT-Uj%c|l2D`iP{6sFbwq=?hm(?%p=iKS34o&?T5R zVYi$$d9(*R%Y+znyQrFxgLgnsXatb3;6N|}xVhTf+L@bP7n%9|d32KPjJczWo2S2z zi?7=$X>IOfuUp8{r7)yMAHC#YxvU#NgT$ZHVyycWe$sB2bkoJ7 z08MacM09j?OiXl4RCs7upr4AqW})nYq2;{o1fDSKzRkzL*) zUV3|Em2=pZ)#W)aDl;f(T)FYk$;HDjBr+x;DJ3l^bM}vymr$)G%_|JIV~$IBRwr8DJ3Z(F)qxy#0dx14Hbu-?fX(3U;zq5s}ipf7>-N-h7KCRl(MTi`QkiZ+c3~ zKUcAO?B?YMCjEre%$)rEg5sjW!UA|+UTzMUpc3O^VqkG`u=vEJ#CTXtR4Bj}ngY9V zSk>4i92ONB9uSzMX4AF+4jR77-a16rG%1T2-0m>v5F6sZ|tSl@lEiEl8 zDMsYw7>tVk5n5?CmWgA_6>of_)zO#e~M?Wt7$@nA!V9WaXyjmQ@yI zWE2+XrleJrM|s)HQIQIY%RG*ZPD;zj$|)!+Mb={LK`Pb&{?+5^(5RYfWO->}VNpST zK~WLl43U$W1~`g}Nk}WJ4nBM_r3#T(P*7S{hO9x=)KpiLmlhQu5Cw%rg$0Pbtn}oB zNFO&3uYjcV?3CoJ)Y!EAjC@Q@A-dAdG9DHW2Tes(H8oaLR8^oF8>;d{bw!ojLSpla ziz_NCE2}^b+|-P3X>B7ATJX)y_$C0V4ueKjRhAVMmX?=QRFstzz~Q+WX(_2W@G^9s zwS-x5ZAleKp0RZ`HCQYLRa=FuCbliwc@rhI(?!@*IP+OOYiNRk&tCUu|JsGp?bjwY>&V z7+rvAXsxd$w72zicXxMmcK7sjb$4}jc64?CRPAjbe{aOq)nT!97z_rBL1QskEDBrK zfNLV)2ii+YG85CmXR=#5I@{X`_@<`j#(Es^HVzBe0?4pZ9~fG;a) zXlTKB2bJU%mQ~iG@eR!#-D9}yN_8Ps%@3rEA zon|bmp}nKMs~Ock4B_Y>92y=N80hcs?E}&S00G|tn;@P*Xo3F#N+ZNV6QQ}8(9(!& zZ0&2SMK`qL3Mv6B&7Ez8j&=}!K)_m|v!kcGp%&NLhOWoeqpPs^+Tw!R{?2R*%k-k6 zsycv~(B9S4)j_Ch>HzI-ZfvY?z&Cevw)VEx5C;1O0h)oKVSs387_9$>2K#y;M4jzz zt*xysEloIxr-nwzeW3T@uywem#(FHasi6vuPKv9oN0wGLfvUjAfYX*%LR)8hS9eo+ zQ8lWygMfvnW*3(g=H^v3R>G3&yIS$}_4rm05FjpEag7859^ZtiD93>gg+zAtw|5N= z4)za?jf@TrjSLSDj|>kD4fF$sAUFUJ0g%(!P*+!nMx!ubMOp*KsOrk9Ds&yXzOJ#O zz$*@0nVD5oRfTP71Iz>EO^^>-+dCRCP55@uKgx3oO2L4ZnUtTG+tf$E;UJ$9Isq{q zU0q$EMr&hDaany`ePsr+tFLchsBZwUGBP$gIz0AdWE9{5UIXz2UI6Nwn;QTlAe5nQ zRs%X@MOi6Gyeq1zs!-L9sDy;FI%Hu{b$xk7GgKY;6ogqba4&cjc%r$v6ALe@tg0+e zj?4^?=^knZp$s}S=+B_NpeF-5HD zueS^G6%?BQPkkK@j4;S5WF=^4Nl9^0L1A%eQCVeqbzDew9SV!VAnP#I^-X|G5Lh7g zfn)2y(1dHK1EWbpNpTezT%&?=BBR^88$sCPfxn;urW5pL&~LzXT^Y8$rMAAgqIqnv zx4903>m8pSAD$Q=9UB<|WC1)-7Xu9@b}?LCJq82eK~|QRf*B5hfaf9L1&I8jFjyN7 z*Id&GMpP6Ag#*!!tFNyIU?A_JF?C2x10G)mFD@%8N{!D?&1q=^9RvzWLI*TZYz}sW zmX3BDy0NRhv$wT>YevqEDDjkq>!V?BV2Le>J~VEJDM2GSZ3Xq6SnlJZ(yGZvnW$j;8o&P+$P zcXYM4G&Mr~kjN1r2{^44^vGt=8#@QU*fTi#WMZhdskpXxbYyUN6u4~cO9=IJf|v&3 z1~|eIZGb_#qPVCCfyl`Ql9iK`9C#nzhQ>5BU{J{NY9yG8YHL8pLxTyeqP(P}urMdL zvP|3LLs0?dv)YY~8;Ib({(-?kFbV;B2EiBv25Z0&7!_OaVCcc3!CZ!fCRliGc3Nsu zLQ-^mY(#>UgkF4Gdu3T^aZL>(HwS@jtV1Kqiwod6AW=!rNJ>mif;XY6Tbt`@tI_ps zV9Z1!K_|h3(G^4+7}JQ+kA)`YhL*0Ou_sTT4)zX?4B#8v!7K)TB`ugd20-+H|NY%P zAcg>+_+~&4Sc!r7DK9R9=Y!NEB{428Dl#%CIzkP6LX&{2K$aFE(lavh>l-lW%F=?| zob=R`q~zpySYm8K%k^R5 zdc80=Hrjz{YQ=*|rMtVU2T;|~4dzxbWdL?s!Ejg)Mj#NP$jZ`^5;#07Jv|{YCNerG zG}JFL<^k2ZXL&WIA~z>BIR$~kVK9}YAmK<&Nr;b!!NQ|s0!t^RX5T*RLN|1`wssUJ z*S27B^%yjWcqFpC3?x~I{Jfm(97G9fXo;Mbj`GvWhsDJyLQ@kC%urycYVROsAH>c` z00UbcXh|Ik3g?Q-@{+>*f}E_3_@vl~C_j+m`v%6FrtZzJtu8ApN(@UV#euX5Sy6<@ zPEC!Ai;ap536Jv2>>in#pX%=&?rp?(R3dQAXfV2hT4lwB@VuOi43MrTB!I-Q<^?Gw zH5JA3>>>&I+ITY>eq4S%Ik7-O_GuDikI3@M>S`#_!GPd}1f*e*dy(Kv zRVBztL5qr@CZ&QE94sO@#NE@+E#zW_Rc~V{0v3~lgmN)psSNlaD;;bQf&C$0KQHgd z+@_g%Xem*dGC!BymhN5N~# z3QIwCctL({ZhA^WRCtKLpSO>%t7{~p9+dzqt1K)97D~!W3xJ}$%+%z#=!npe-~e9_ zcXu~WkH9<}NR@GoZNpPfC!Tg>!*aktmz9+Z(rwUNL3brCUm!^XT_*#SfF7Kgo|>2t z4;GEVp~2pMz7B34y6*KI*xKBrjJ$%}%)G2j5E1DqX~}W0$dEu!Pd672Pw(*9gp`C7 zcupD^1b}9+U;(NVVPN+*z}MTu&Bfl@^1hX|YgA4_F8H%k`6zr_cUL70mX(nNR&>e9 zDJhAdZ^VKPxyW#6Ssoq{85JEH8w-n#1&f{-kf;ZRg!=jUx_i1=x!M{=W6<^BkELa& zq@~0s#>W9y#>W8qfH5BjyGOQmjxHWPL9vNot(dU6po;^#p!KD{w}Qi@$vHXaCNk?Fg4WEQdc>5R_WaN3!2)Ot{NEKzGvf|kee3f7Z?mod3t*J z0DV3luC6YQj~whA>}~AqY#%u~Ja%z$b8`WuE{`8MKC-s7bFeVGZ*uq1WsMkAQDV54 z2e9Gk4#;%>E|o7?AzIy!8tEI6*yoc-T1f$&Y38wx3I9W zbMo#G+_z6uN=EMZS!JbDO3L#4gk_avB@P~vl$0XM!Gj0I#ScnJN`clLJuE48NKyin zi0iyfS?fwN;ea3)NJMS?lMu&|^Q3?nsl zsM6xfNb2Yln@imr2w(g>^^btyCHf9>=wY2oiU4256 z@`_5U>lzwcx`&?5%uG$szIZwc^477D!T!Gf!SSgVbF>W z0_LYOFk68%r?@abCl8UI4W_&3==e0S=~P%=TL;$YAb$cI2hRj(A@Wy88FA}S_%NR*$0b;}Yy)pei#zDFysb;3~# zjNH5SA3J+NO-WAr=!x^1ItCA1y?y=sy(~^_Uuy7Y6G_PuGSHPe7gP)n4~Waj&cjWN zR->|VQEi=sy7Kg>=$!h#zWM?XP0wC*!ovf@qM{NCu=sjpNruOP(M3g9U)vjoR|RcJ zeO2*k8T!ejuPhF_x>7vea_Wvph@TEktZE_ql-L>VyKZiVN4P0VcV`Qk1Z5*@N{ebo z)+i~~)@Zo*itOFRMUB6%lYPv^-|7f63l|&x&hxj8Zu)}Hh2@m=&OM<3N9GiyYwzDY zAI4YaBu0gWMMedf&}-jyIa%;@vOtas{4F?Xr~LXNE0U~5=`-7k9>>QeM={gH44z|f zfj4z_gGFEyGQsBD*?S?W`9-D0d1*z||)P`CH@F%co7JLMJYFO&854y%ddMLvlenAt3=?RvPg08Kk7-G^~6=0vsfr*`dBZ?j{FDlqE8+yh)s(+P3Gg{E=PM zeHE31bRudu?;4yF=Vf8parBx;SkV2woiSM*akFPjnk@6*D5~#_gQB(aKWp68CN2dd49oM8QBR z2KLjz5eG==q9cO+JY8K}J-`lmTvAF(GDy=$)5j z84O@O5X#*oaIv7TJMVHD85&Wtt5MXo@F@+i*im_zg97Z}_dd>jpk(3X<)nXGQv#N^Ss7_* zX^(Zdu5dn_Cphvrpv zj4pplCw$&AAQ4g1+&w%wze>r>Cnm3Y+2Fd)8BwN@=!228G8Tu$8S_YYN=OJWug{b2 zwa9s~UH*nkKm^E1LADMZ(Zs|hrDf$66qi+2)uOTW(1sM)`vFVO&bF3DY)yG#US>*s zY-Bh{O8tGky*yl#+J7FI|nCcS2uSLPcLt<001jNKR<9H_J2yiKH|Ufzrq06g8o7N zKZo$m_D`0-Bl@BEXQWu{k8gZ^_IL3U>u*;6cJVuXKUn$6#7|hh>G=lfm&gAB-4C@P zRX?}vH>kc8{bb}99h-W-7lNa+P1!7hPSU=}kNUq}e|ztD4}UKEGY~(O6JPnM1Z>lz zHXp`~#5hb^f6HH?RM75iku7XS0-6YihyjA} z^`Zu12c;nYcS(Y@{LIcK+44}1LNtMqCo=w*=l~uC6dEo66~&L=7386qhT@ngK;vJk zf+B}#cC#)9{jGm05S4&Gfl6%fUuuCU_(sVupn&(}feSa${H2y3aDJ%`Jgp!P^$RE# zi59+_`J(anjRQOAzsCdO2T}?J)t4s!Ucs-W&|Ba?L@g1q?O3l_Yx3WP~S(_LT>mn z0ib`w%jO$U6#l3U(uG1R9{=J*A|4DBRM7WLaK!czjRN^&`+hBff*tbM=14$%`Dc?q zH%39>kBx)OC_;fMM}+Z>CFlZ-8sGZ!ucrUx9>7+>07}590Ky;rS8%>`vR@TJq!Hur z%MA0?YhPOTx4HSI_bZ(cSO1CB-*FCk0t!U%^@j+8x|2NUh`+-BJNMrZ{fD>z1np)q z@m+;)><}F#{~r|o9dQ4&4w0^JBh)|D_TPGclk)$Twtw~f%fP=3{L8?<4E)Q$zYP4# z!2h2Z_>-jcf02U!V$yp8$Ukn$e-94?2g38uK>hdde5L098lHdbvVRr)%fP=3{4X#- zT$lf7_YVccZKD4ovcJ^zeP`xxUj1WWzc%h~+Wn8!{wKg7p1R%s=y%uI1H&lp=#tI`4QY7um3TO-zfOSiafOGxhW_}s^#V7YQdLHWb*Q| zvOk>N5a0cc&i`oir)Igltn#fIc}nIiL)D9Hgdp)AVLj<-XT~+VP|Rp^fpc_yCkYMMB(E{(+pY zM!#YQ)`^XV+5=rdVJ1gp?N3$y&|;z=YUJdqiLvli4|J*y1b`<#Ctm%Pe8ot7A5`7E z{|5WZE%>a_W_S_t{VGH|Kgka*Af5~nSpp|{KfCSgTg2L5ED^Vy0cl|S`>)PazTrYa z-uq^Lv&p~W+oVEnvxQL8AV6}!r=WL#tqW24!v_4%mqcrS`t-+r`!DVW(X<))#L)R6 z_8}L4u~`E^5RZC@$ETZdM66u%g^a&r@Gt8?O+|q&OBCoQFXZKsM6QTNi9&qz{q{>4 zF`A%Af;9&r%%{~j9R2^%pKei%-m zvhVU!)1cZ=49R~b?7!uvZ&rwg0qI{mGZ7jX6=XKs{i`1~asKGOzwe6ww>5ucW%K&? z8i>z+|LEV+|HQ!m1DF$3wRm34nuBsB4AX97W8xj#n%K4{wz1>9v29Om+Y|2C=ESx= zJ9f@@?&4opu&SQw>aMQm@bLc@y~_0A(Y13pWHjo`%dwyQrtqfZHx`9EApn)ssS1*y z8Zme_nv&5oX^p?BM9$urn(lLW~w<1=Yo1Fz{zK6t84zIh- z+mld;u+}=`ORo*_kXbft+9-cjy7L)D(hSfqGsmfMj@jmPE8b=Ma-1{2&t$D~^LPsrn#lR5odUNe!)|H$80+b4i*p|1hq7i**6E*4K|I zUQ5<@fuw|;u88iDTZ}-ej}=t158DTx2Et43hN#`9?(4nJ8#^Y8_9C>hMcsOE6upw$;E~(8T<&7*;}U-ndwjtdwf)U~r(%8~uRF{e z^Els>M*K~I^|uKYV;YL%QfgyTI;=om{TyCa&d6tjEnn_8@(91fE)Anha6r#nVn_LY#| zF@NwIbD;+Mbuud^xSuzEi&vwhp@NY?TB0g3dqqoS74z9rQR$#4gV79w8bnp{BFJKD z@#L^H+L=prTf?}M1&uGXsa?-Bf#*9E$_9%OaK~px=_PA0fI5PLL~Bs*+1jhSWMMm! zg{9S;T|a1nCy{n{u6_i176(W? zmn_uBEn)mEAb_X-ipSzCnPSz`l8nVX>6~Kk5NV(40UXPtWLY`kg=fDLc;XBVJ5{Oa zVPGiVu>_Q~wPH;8zA&TnD>_dXqE87)_BbPqlNc3!Tfk7o38$pWpmCxW$JZr8xowpBsHfakK;emNbTUjPRimv$OB!j*IZ&DE({w^?H2bx~1SNks zC@R^&6d9UPGWHBKaGapWb<+B+Usq#DaE9@BXj*P~f4Iav8mUaKy%QMFFZd|8%9Ep* zH*qXbKIhVhP({lK1;lNwk}?7a5L>XDO2Zp#zTWi16M%z)LW}QpXL`-e z8#|(|k?wIXNq&s-)Yrv1bOiFRMs7V_-3wW_+rg2psNZxgdEas7R613+apS&rERArZ z?!#zUt-V=q3ODtJfom{t?&~W^Rcko7HEd|UWx&`}Vfw>y1`9SRiJ4;)D$p=7rA!{x zbkBLTSp}zr;h`5b?4PSPt*NKFg;WQHm&{T;(USbHgQ9y_6ejYVC=0g(ybbyU0^3bLXs-*f!s>T7%b2 zaja;;Pz8{;_S=|HAlvC^+qW)Nw`?MEY1qU@?m5XWBN0{x*HJ{Mu{<%v^LC0;+d=YX z3DHO*s#U}&o~z3guB60P@W~m6zbdYjZE6`wp;p{8Bl^t(?^8g-f`4^{%|&TO;o-GF z7;#yV5~*DiUC*={Z(?Gr^e3Lt*s3KB)rekp%JQa~$NK@*QT&%`AeE@lGzIxVU)9Sw z_Brx+ z$BZSA_ay{SrBP_RiB=g^p0(C-e=VKf0!ik$z?QF_!XL2vqGqyOA1yj>&x~*zuRJ~U zOen@SkL${NWi;R8*?s*9qi=30k#r%ylke%02USp(H<~iAuCP%T0s0Q90uK)`K~m3W z6B{YvjFci^LtDO_5ttxRp1qw{8)msY242#;-DX9&r7XnglPkiT+%3~}JTc4w#WBnj znf6>#jEo)(u*hoFYv~Sv{I@q>mtr>XI{*O2s5yOJtPyl;CP1vGrKzy=YVo_&z3B?6 zYPwGk$1yXJRc4qTtWG)9$2Zl&tzsY58Bn(j?KJV>E`7Rq?soVg;9z;N8rJ!uQ1Uvr z{;JT{(A%h@|KR)pzhq7*uq{dq_%h?n+yD;w>!rU@=plisRdY3bapMb`WI#7K&k1F? z*h=f`f&mFhG&{Rj{@OyZ(7AH|bCj|bbcsOPm65e2*bG2_vZl|BJ#f|HX|p_|6GK=_ zjNdCG*HLc=*6F#eZ3MCr-YKDZ6Q`;SGtJjf!VS#`rJ@8;R%vr71}A54J+{l#e(J%~ zjsd!;o(Au*&q|+wsRkXa2G4pJTxUYw^VQPl_l}u^=w_u93%HsDUOdSZaBv=X+=lw&t>5mC zMPn#L z(-`7^6ZziC%&jrd;Iks@sQm*_`Inf`f)b$q_>MEeZMjAIV+rM-eJ2Wfk8eyAK{vYME3 z@5M2aZEIOUY^zYi;*Nf&W+2^2W8;d0ix-pp!L66ddPJMy$lLa6sy+$y-RG?{f%S7@ko7CVp0u_5t*PsMmsKB^E)tODRROZ%UeXHqZw@|xZB1xt4y|PR7Oy{j7WQbP^AsWbcA?o5}wv0@mf_7BS z?=nG%1BcaHB~2|Hi_-Zmc^~Q%PsGkxU-2@!$`$lL`9(jYtF-isFILw1XPx|S`{^PN zvar?QNskX2HdYV1`pYn~&3Kv^Olf+vuPBB1u%4GFICy&*a8$B5`MbP4o_Fyv^if{k zWcz22#BtX>%%&;OUYSoDyM%MezxSPO9Rh&W^l6C?CZbEbv&`+Ju7If#Ntb!tj5m9a z^|*klQ`3>&5X4CM1&1>9$OBwr!!TD z6;j!X%B6{(OsgqxSB;uL<%tZ3U~b{Xpy2HKqn^ApwYR$`$57?j+hlTJCwnOwvX1{l z6u%$cF4Jt829WK6m|weLOT}A;&OQG6FqroEuLim|Miu6PUz!d79xWTYVVCt~m#4hl)N z-nZkY+b^c9iv^`9$Qzt;Wzp5Gzhl2>WR=<4?xf{VVDOOLQSC;S?iYyd&;~Ayx=sX; zduuVAe<@+0d}J$fvg9{RTEg4hwKfs~=<2oIj*E<9@$0yP@`JMuFm#1MsID&A2N#nyZ_*r6CCqTxn-WV-pZ!>wB~L36cau4wlZ~zz z!Z@nt5Xg2ujeYeb6|1ISiQ0>IHsQA|>>9(=R7flWMqjbR3F$p|$|++C+A905P<7vx z!F2+a*6RiI+S*w2!TG69QcAKkfw{FLL#dAj#_?`2G?3WE;jU8*@^tnsnxMB$v*6lD z>#w@=9(<{o9G-8cTm^!x#KyJ|{QJTH#>7w6)YjB+13egR3!)m_T(N+~Itsboan)pC7B#u??yT#qqtxtim` z%?MwGO=u(tzlle`F=aB)w|1x~Qe9av_<71t!I}TS&!)O}$epdn=BXHWVTySWaXp1B z&x7|AjeNE2w2%1sbV#bjI^+O(pnq%2Yx-8SyT037O6yrf{k&M$Z*niE+auS)Cty|F zUu%vJ(=Vzb)OEK`w*?5b!Z#D}oG*p>6)Cx=#<&o!Cf} z9`6iUm_$YIXhmfn>t{%R2E4NdeUeT&6SlJDTHl6w2LsvavLn~JRK}Eo&)F>#D2>_k z^h4x_=L$!?y;<35&)Ko<@dBIUFZGH;RLMlF3$4!~r75mX3R5MAb+#ts8{2damupf;xD1}nogWjB$j^wk^WM9!ORIEVg!EahNr1Dk#uK@KRn>c0!AHAH z?}-j*=137DJI3waZ^PN{5K_;fsDZ7`vzN0iJ|#}!+L&s{FAGo9&p8SUN_eE={n;@2 zko`U1<8rC_cFWBoyVfo&UOa{%Ka|ZOYmpZ3+jZF-e*8qPH9X*XWGEH)L;X?OnwEB{ z)F{25{w~@}nR1k;GE1hK7=liJH$y(bktW_6rih`@1jw(0s52V(;l?w;=ql(`5AH)G z8UluZ7k4^&W4muxfBDJmB}7-1Gw@XYe$$iv`73wzP}b{4f- zOwwhqrJ86Y;e6(?K8(MeohTfLal&X8S$E~j%~w;zOJ8qAB|nO-5fV?Dee*DBB7ICs z@VCY^U*|e&sGId_Gg`{-M<2;W7d;`oPO>s|SNWSc=aQfTo?fYUlW53k)m@*;Snpc= z;Uw-+;kTHEmvBXs&bbj3V5|AB>XC~cBeas}G~wBNCvz_~4QArlWZhWHYm_z}sP`vO zYKsCaDi}{tYaLzB%S!dIu-Vp;4kVbX=L;dTVnk zgo94UaSIf6QT=}Qddfq{ChhBVha=9M;qThUG?YPzsj;67XR7@)MJ}Qj1!}eh7K~ci ziT2+}D@qjziazSmHDGu9w55WK>jR5t+d@AI!_?GNYo^JSDsRT-F_-aN_;GxQ8b`S- z-;*kMZ82&e#1|B7$ulJw?3P6iO)Ymw`Fie-v{4;R*^z-}>{|>2133bO@-1vQatZQM z8HzwuhOoW4T#9imdw6edfXJEN^tXKvP`Avc_v^r9kBb!wkKQp}>U2AN_?tB1Uc3yE zu*G+3x&u5&{=T315WZm;PIZ*X82PLVN|%MBf-*w=MzQquG5|e5!oT`Tx(uj+$+&uo zp;6c8Ql-M|w8l;e^eo+6US;O|oQ|RJR334azm|ST-TwcPr71yDdmLU)qQfHD9m80u z5AcKIK;HI|$;;StE?t=6Df#r6jJS??=ftvg_NP!*mf2)DWm*s>c0IbzBqC2V^?JmP zlSXQ3sLx)icl>Pf;ZOHi983k6&gg-KDya$BQ;}kG7sF=)CCEh_J~n&oyZ0|I-}Cpv zU4#hDdJn^`+caLDgzkB-MP#dFmmd-63N7#+$;F3BC-pfO$*8gdHgo)%Z%+pOZ{wU_ z@Vnk|aFlRq=ZS?jJv(f*eX7m7^YB2h`rr+mXo|*A&MmLPQZ2f^plM!kYBHGI(Bl$4 zVlUSU&GXHNw&s-&p+mr0$Qf|9&%dCEYX?JzD#t}3?hyakd7pzLKXSo46?RJ>i-O%6 zt>Uqr3XeJ!sq3FK`)b|fMJhbu4!5!?Hi&G9!4w7dykYdp=~hpA3I13|6-_X)Nr@cC zQnCYF$j(4Q7RHMNE~2ODD&lyprs5%e8fKwRztz=@G;IXN zE@HXRI9yzpm1JXj6|`pfZVvCxP#Oaf#&b_pa^g9ayVw|qkR#w^JD;rpU+l+c*d^*aj`32Q0iyN{>-LT-O zLv>X)$x7s~J{51L^ma%#?waKXxXzTCm0!r0+}WzaQR_^*c?|3w-Pq$}BM$ZG%;sOwpUbsT$%mGtTX<-zO)%&~ zGHw-xke+nVp@h|Mf;`?BQ!9@y`=z`_eiiOOlYDH}0$d0ns^-h{H0l+uHMk{8gE##l(yKDw2(ar@KQP=I(lopu8WOmf zF6WPNjG!TUBO~P8dX*~*TDyqKOwR}esePVoy#bbxZQ__Ay@N66`O%7USRt^m3T}q%5|PgjuLUiUD8XNpk-l8 zp~cDY(3_^<2PCd^ix!vE%icQH=Ys2hB&`X+ozF3O74;&oJKOT?geah29)TiR~`2~ zj^j$i>2$|zh!r7 zOAI#)R~!|PKLW*@UxWlOf|r#Y5GgMgManOD>@vof2@JWjWWp=_Ch>g-P4i=>s2@XL z?^ZAG>DMOsd4=UXLJfjmBJJB?lX%E!;g6;)g?s5mwFGd7qh86vga>G%B2y$gFh9cZ zdGiwPV{t7Gt!?PJl7_0z;M}&!Q0sY>r&esyp*s7H7Pb_9>dC`K8#!M+>mc2$rv_=- zdh%+#ip35`fa4jt1u&VE{bm0^H#QwQK7%+7w;)c}&}fm|tPn7PHc#f|(u*a2U7tUN_RZog?Fe3=*eq$Je(Nfysr zqaye{jwwbkfQosS`Iw$^nqy9fvdPR;)K;4&B6@pfXo-8I+$AjsV>y}4$=vs;u1D|* z2x1a|i)td0@AXQy?n@P^((Ro{=8l*z7vJhdW)Eoz8lcVoxuJQ`>!zPmpzNiI>}{|p zsHX4S-~jH(5s^>LYG}!89rZH+TPaGCHGbxrjB7%?s-3D5n4( z&-RONk>R})?-Hmw5>#<;%Bieh15{cZOIKJY?XNt%(5$b#Z(HIB^NyVi6;wsmrPsPn zY1I!3Jg+W|xEF3NxYVAaIh2ILmKAKJ1M=NO7H~WcNM8cNkPusx!7Jv`kaWP7;+y3- z&)gjwX&GIk98!gJl5w$d7sQg!*nyfx+!%BctxCu$ccdh!CP62}BmK}qmy`m8Y0#`D zM}BnlEw`BGQ=b%E@a0S7XQv|*MUZT6LnC!?3O;l05+Ccr`rP!;nnf*ZzxgU;`*xy6 zXm{328OIl8==m1+BVzWKU-}|+K;-Kd*>{F$@1+n2d}i*hgYR9pkWbv{XrZ1WyyUY| zEJ1Cr$Zb@IO_9j=Tiwnst#u|UUfsK>FB|3J0MIZNi@k`rnDc3%re$sn z`w=VqNO6CHJ>IZ?*|Cdhx(uZuVYV}smmunfhT4*X1?_uaGF8}h9^ZIvtQ*TSz{T){ z(}(4+eVk=`grmoHA%6)UbWIz(V(u!pjbcu<_~`!b)Lh`FAnuQq(n()mVW0TBQb}u&+5_He=!G-kBi?dPq<97Qo=c4%C^`UYmEH`PF z+pu9JG@DV()9C^WXc22Tt;&!~tGF6x(qpoWpv><{V>m%B^!Tc#uQ8s7MD&`;!<XXbcP`|ju`90si3!<9bQ5tuuZRmYwa>gZrj;@x)RiB|K;l^?^ARA) zgG|U;(FD2MB65my6OHoqOe2}BNn_A1xHpRZy|%6o*28WHH8rBzLPLBd2TVoqVzbS-Oo1A*R1_xth7q@u z6jnmnN&_mPObZhdLMRXC*7p~jlIWK#Jsb<7gX!Ik<680+dI*Rn%#yHUU3r0)akNK%U`*ptZk#q(=-5;z+|>x3wKR$#!R$Hx zI+x?3L=m<(YmrXoQE6cWVR>;J`8s3KaB*fF(b+m7J&s3uV6THbdZ}2oY6TFn5VxNz z>Tn8V!sBs)Qavk=!G2?B7gy$YE8fPx9ujw&f669zQ@hr;(0T9KIZbyf4u3MT(#nTU zcFK=V#~!j32M`rAFBMbKzN{MXrqK|9>>Net%)>#!|6oUFgD+9^p&dl>KFPc}ML2RN zO*tHrRb70G&OAHm91G{sT=Tzp^(S|`b)`>W#uG)X1t1u5M1*hCn$`$b%9F?KS(HI3ycimk-73*g z_ct(`LHA5Vl!cDCK4nje!0)!@(GB0Q&I_j%wb@NI-z!JU!qbViW8$}YgvIl0nT9@D zdxuP(0-e&lYfF2Bhnb_zYS=z2^k6RD= zH=k?n^YBf%rV*5Q>yDm_Xo#rqh-b~O(&+7D-rP`$tu}{p#&U~2$@cj<>E+`ZpODm6oR20P)iZ&mms&tK9#3{xbIi)f zlTqV>jHsRo%eU+N4pgSnSe{>o-cFocEm`f{?y4EtGv5e+ zEm@SkwMp&eLE|%ub#<_NSe71eXJDx$BWh)Ku+OQmhUuQy@pMR%GcS=#pGn}p=YHmH zhBRv)tEQGJXFC(Bw*s)2Dx$Sn0v*?+vTnuXPag6I0ehOP!O# zok|r@B>>c6wLKv)gxzaEyqQZ~SS9 z(Lv<$X59{LBjUE&b&H{(uunH(CH3<67q!{~`KW3sUT&SzDWxnAM#$r{LN#QCJB#il zG=ZT7=*>N`WiGxd90-->i6rwDu$)}*rL@!;%<{raMK}yKgt&hn-o=L?4w8`(fc%7B~?%#^n32s~LyKz2kJOf0_@9oP}sT**`7@wtF1T6YYnYR%l>`7(kVg=bk z>Fah!{RHtAAeg1iMeJnaF3iPZ2iqP!G?pGZX2WgZ~*A|-Ir65sWRu^{hN@>aJ7*i73 z-{8RG$uZzlUBYuo=8MH*ydpHha4t_%{5@ZV>ebw4f%k22{b+CRTf?{@xV#*pjBJ`a z-;sdT6-C^IiM}h_(x>{#G2pPgP43QI}<65)B13{yUyE}|ciZjdcp z=xRZnb^dpadUF>lWre-Xv#rZ3EX!U@Kmklc3o3$5>KNhC&zhPi$=Rkhs^wNeN3XE zF=U6h>!5uL@tzV)o~N#OIHq?Bz^*tSCI-|t60$PdBf#-hR5{jceHSau9dK~T(ZNR5vPeWWycsUyyj4qe zL}DZ0S^~2A;E-v;q$T#Te>=KqjBzG{#>i>b;1gHjyZKcm>6^98;HwJPx$h%|DWfLBf4( z1rVA!|7*1@N(|d@QA__u8>%0KvAvAvyDgL5RLbtEFxe#}IsR|v4FWuztjhsFV=x*J zTTRqs{u&R&h}wGlnoSZr&$rSJKT3_7(IKPOEPBw%{d>NaC(wc-X&szV{TE)PQ{=q6 zsDALC(=wqX-x1cUB}sOabFOC7K`#L^Q|e!q;&*5I@A?PBBR7OBl9)?MSq%jS$i)I@ znV+QWW=-@{2_c#Nh>F=OpU?-HY&qMXmjmYOq&!6H?oT!wwpe$#;j;Gojomi_E?)Gu zBwYQC%mx;&qrpQhiof;qNqU6?fhPw619PJz_vX|>byikIC{=EDrPz)BDp*+{xu5ba z_WzcCh2Zh%__8fsB8`#K(u5W)>B{G`p876bGzj&GUr%pgSkF*dq!%QbF`qXV4wEnS z+|U>pAjuI%HMjI!Xh4GzSbvE^1c0i{PT7@2DPUpLFoLQJttKm~lHmVNOzbgVn{K77 zEyjKz`@tHBI?lNVv)+;7VzL?E@iI8k2Nmvd z=Rx~<(?#$`?ZdvL!=?|Jv_M_mY49hbxMf&wl8Wi8lGfZHl6$GPnn;*IfIm!_J z?B0y8Mvgicj)53>tr)~Hb0*PcZKterE|<5t>?@Bz#*da&9|LI|r4;kU_(F6mvJvgI zz+)@%FsiYC#FWtD+-FA=zLf>-MYdTPB>h&XaQ!uMKXBxU@Eb>dV^Ew|+>+ZvR~* z_Fr6D+G%Gt_uK0&5T_#*sbpo@nZTg>B@<^~mRsxB#^Zp_1_ee~l%d%br(G;JBU>Zx zbT@e|sSxREi1ep1+4IItEaAg1v9^RBidylyURC8IM~!7DEo61q`SkQFvjfavWAp#= zgLP*GZ5za>68bda<`t`opuHb3V+&njkTu;>%eyq2-Of$j(E={82`he(c*6f<%adda zRq7tnN?QWW;5?c8VjctRzrb>GxQVOj4cv>rL|#fY<=c*gHPjz1fl!&5 z0o*M`L!Kz2X>NQBpm4OepQNc?*ml9v^E(ZXEtkdn z)Q|vaiT1_--X9zOI07pFLY4kbg--sJJcfdQpA{+1keGCAqcn74jgc;CB`ZvN`b}ge zw_)JIYxTL6ei`@9Ix0W#?BBtJKJu5n`6q`2fi*kSQHQU8Tb!Dg=pEQQ!hCt&r*Q2f zD}nLta98Oo1|N}QFmeEQ{NFI(#5%jx%S_Z4D+a|Z<>Kn|r<4t>&8u%uOm9`{95BtQ8Wt~SS6a)}`v3fWD?g;otz$b(z4 z(xcJ3i8LJk1jj9J_SiJ=x??{49Z{eA5G6K0e3S(n-(P;d@v0p%v zL1!uysFGJYzvB+wCEYQpi^5OOpC`WvnTEmAv};#FzhC9})VNi%U!lGUB&#k(F%3*U zT>JD!AaJPjZcp+kL01*o$5)g8;9^Ug`~sW)Bjp(eH5Rz?lLU>+ipM`Tw&sz?bo_!P zK4ST0^zW%wWQ{k><|JWY0fKazD4n+bxYsip?T5xz@gudPqJ@t57JJ*lsCZ}E9voS$ zaWGnc8}vbkQv>#7ZL;Nj<}4a6;>@QHIzP2>!07)@r~V9yD}wT9*EaGG;ukn1)pV5I ze|TM=T{JMEjAjPvgLU!La=B9|MyPkET(;%zOhfTVWX?JS2uBU@{fyH!oM1++6XwLqOJ)2bXn}`M^-+P!8QVz z8UOzb+kiw$g#8*dIyEI-Hw{44YrXHccCQmYw*+%Z>sbpZo0Ra)#v(D}9AxExVa@e< z8HM#iHy=ziQ{+t~l-rrfyylwe&HIfi7GHVvH3qV?zQZ~xSf4rEIt?9&x|#h2iVgX` zVpvufGC}U@_IbWKG4c`myXuJiiFqXEZrAXu=UFVCGQ763wM1rpvs}E@Q}+j534#lQ z-O*EFR12U;yogDo0t47_g^S^ZB}1{fTB02Hc=(wB~kG4d{?^ zs(I*5n1AB@h5xEp^cU*t_1Vj$Y@jjag>?SwY(H@5+X8`M$|928b>G>e1o=nDZ1}v; zFM;H54x|F4^Yd6=&Ho7D9@ophB|MkytFsy=hwlHv4v9`id;ob|=8g*YI76xwSKs0O z9PN5QqS!h37|j*8HxB7vQVMcRV;U=E!cmqpZde&HEgaUwkbjxFbIm6qYF}EQ^zoEE z=a<2vt zJgOGZtX;f51`S@*7Q{La6bw0^WJbyVrxG}56>MPHTG);_7~$YztLPfq+a$+tx7sHk;aRk< zwim89JG5&kokvKY){Ss75s>TPU9AwI;u?!pSR;e7XDdAS8U$oKTW-3c%6NY!+^`Lu zmjmG}SyWGDa~{vQ8DM^<{%4ZNNt*$e!M>@K(Itly6m7mev%t(@Nxbj}a8CATVCy~k zw)-zg5dCl5>GO)iPppcR1X=7HE`P<$Wc#(@zP^J$5jhtaZ}rmxBF*Z(Mkg*XkYhvH|a6V~+4S?H8-b^)RPw~vA4;FZssJlefp&LoyJ*uZSpjQg{_ z>)<*($Mm89CBJ4U5b9})!_8>v4>KXKS?{)m+pqe+XtzU&Z>kccP$#JZ{Hn9UU}IQt z@28FV^}^b@4%Tz;FB|zvfBJXDW-Cua8fwGCpYd2ao8&}TQ|&-c;fB-=S}SuLBtvdN zv(~m*XI!p-?m>}!Xbc|ljT~Fo(AxKyc#vtT&qx6R2J%i&ejcq{mzzBmg9!I|8>Z6p zlNf5!*dtzIh)^Ui40L-n( zdj{f!9|d{Lo3nE&xgo(|)ySfmlZ1)TQN$kf7w~)r8$GZ*N>ynm>``Li?Qf*m9(84g zXfYw4zgK8k88Rueh|A&kmNP^JgzPXiJ6wcK;QqXf6aTNkBGU>E9-Iz^KUc~%c~thg z=>l-PmMF5nerz7i&)I& z-t0NDjWL3g;_C3r(HD>ZPl}8X%#{L65mt&nv`aPe8VlV(4$6E%K_kVi_ zo-5~aRNNRw2v$#q<5HKYJMNM+IUy)<=&9J_ z#jnS>CH@w%?>JAIsj=m+yn?KUA1V<$||C`0%!n*m+ok;notd8z#BP>L3mR=VVG zIxUFXEV0tOgfVJ!ejM`gQ(HOhzdq{EF3`uO%2ad(_p(XJ^4v*3+hYRz!=3&ER{cBl zi5>iPh%>1wXBLG7^P7Sl@XhbIw0kKaU_f6U{gFbf=--639V7wMerjdWcaepf5_qsH z)I0du#Pzsef`RnVM&U!&@kZE%38b6Pbkt19=hOVX026-`&(_ul z!t_IA36(CK6i@W%tAbt4erjSpQ(KzP7B|EwJ6qlw2b#6;crU7ip&l<+Vx+NJh7WoX z9N0EsoY_1ra-thg!wvlT27=u|u(?oqFyFx@Bfnl|Gnf9|=y}|N%DsUhI#68U97*;t zu75o8KM#c$2|0XmQ(+9sVY% zT!-y_%~XUhlY8can-<)$xe3yWQHCRl?S!TkgGaLz`Bijchbqz6EgJ)^oL){O#dNp7bNI7IWcv zAgAy%JxT5-!qGY=kqqcz~}5HV=n~WeWzjqFL=GQ&{)1odHgtYaukqg_BQONPAV?jQZFtU-%5sX%9k)wF+* zBb2Z+<_M+A*;(GpF!OXFGb_yfh(v*vW8ZuwAJx_22Z<(;Aj*ggcOEZLVrz~OpJYeV zGvff=hA0^iI%KlRx2xSbkY&yuw2%Mz@!}qDXWRWq?lemDZk%1Y<7$k#T>7J+yvNu? zcD`jA&D;Y~rV@gX*ouKUzK@a53f>Gi=8{ zFz~uCrGl;U4yLAhFFU*2v&b$%f1w?S#o&SfgPKV`sVNy6o z>`F};`!%S6knpIgN4D1MH*tLrzhz4D_o_uqOO2^odIhCDU_R`_(PO16%&A+WxJ#!q z!>X{<+0v9)ZxoFK zctb?N_6$q9Aw&MLN9wSTnt*ZNhwjEfvV|pnzl_BbPC(k^@U_SXHs%jbO2|#}wnoA$ zvS=>gFVfIZ@J_S^MR1(5-?Rt8pd$(W!7~HC8k=!RPuYkh(duyO%;*65pJ|=VV5D;B zm`_|&q$-n7y%7)m)wS4(5#@isc&1gXQce`EYk2N_}bdi*${(* zteIu$h;Ve&{?Ht5Kt2b%>_wHBXIDmUEUBO{{dVC1Gb?_xO04<#~7(_XC zzM%NNHpnyEerou`tka1R-~%~d{2P?@j=1q@UZCwGt+GSm4E>f+$sF@$DA?+k7^Rq< zC_tB}a6VdpkM!|l>0;2lPILHYdhfIcBFtF|T~S4u%#o5(2P3lRwAzFEGPZ5^qxTyE zGCo~-%AWu~5S3e?8E*(bjM|Rd$Vdms)J=W2s6a7pb)~+1>jvhs{2mG>*VXf*Geghm z&KiQIfWwf*UkChgAq=%cWQ84!%K14$ErAHxR0D)Miz{~0pwWcDpUPp3s0;{|b=GpE zq%hQ?@KOHs*c8sVTR4ys^|dp)T^DqI#%HL=qMliyTzIy?arVpl21{Zl81_MigUT-JhRwj%+79QoVKm#rF)078Y>pTC_?p zxZONFZfxGj?}Maaeo+<^=69zLoY)J%Ttep+c2Ko@mb&!P6xuOqXfdtHY*!FM&ax4Ffy^#Q_YfO&TJ%SYgJStIac(b)vl&q2 zow$b=&WS6qKen1}a2 z8CXkyWoYfvB;)yT{E4Cu$8H_(r0*YI=z1jMH{tky?YsqC)Z5lKPIsfAprC+KQYwmc zDGCCjAfSMlAd=Fd(%s$NF*FQJ0>d!W(2alrDz<X2*l|HM{f*0lk-==8EIm5ovhjt1 zeSKFK6;HW%Tkg%wWq*0l*F>!+NytH{ePlrqhL&jzfAZXb%WCE7+MHNmlYv*~vHdI$ z&t8{uVfH+0XzSQ>pG>2W?cBCo?~;`_S45?I40swCTAt`xQu7@+;pE|=UieDn+UM<$ zFC9u*d^VC^Ua&UR=_+=wS&r+9yh`+gL;Y`3*ptOCq(3N<4e&HNxA3mZ#@CT0Y@^X5 zC&<5{qc3tX?3IMQ=SU@9*itrg==JkM?hij+PcU6$LKq=Bu4!b2!~8m*>})#Qpm?Wj z>`Qjiw!)DbGPNp0bNsyd)H}9;Nn;)EDSK}Fz_mAZ)im+_$sV{0WW#5JLru+#GE?ng z>){r*N0W~f`?A+n---0Ee7F9!Bl5X-kzf5C6&~S%TN!;3CSC`U?tfIOe|sms(E5p% z#iK-R55L&mCSAwt{O+mBPvtqFOWWnRR7~E*^DSOlJD&G(B!96k(o|K?gmS!|w_oa! zc9m{1al7d|`Q!as#crH&jgf|vdK`)xC0zSHA|{PAHF#c*+SmxVFATNr6?R-VeA>1a zI+dq;A!aLaPRimp*Ww#-_L0>JG1T zJ7%WweXQfJ+GxebCpe8G7iDzDP1lbN?Kn>1W4`)QU*aZ0|H#>Ktq*h!GFnfp)_Pj- z=jArPMn9`E*zXe8EPe3IYN>q8fZ+CW5uORf+QiFKa^(d_Bu}jFQR`Xfosik%uHv0r zI6CNISjMCYr?e42Veq7?(tCx?)~Bd(mpbQqkE++k$ogrXlL^n(?Y!m%Sb{pd?T=`b7U_g8P~#GGprc03wzImsNLml=qTl8jj0n(hQ+*z zf6nW(#37JxpW(r9S^fA6>Fy?C}^D6M>0$QOnB@ z4`LPP*AHkFJQmGQ7`u9OrTdIaqo4(+A#ZU;$>HwHg>T=zKVscXfN5NWe`0-_crk*` z$>}*6k)y4PMWWeVSK(mbDQ;Qnql1q0ZG1~c`CkmquvA%~Mw$A~dxYr6iGImQneVJ> z=JUjuj$5M-&WW|$E9m=pcJD5-mc@X(#Nu6Jv8?JZ#Y1mDH#J@7rVe%7CpWrslbI)1 zx`d!a&#xj%o49i725#V{#T+s@(s|Dn^?rtyH4&^!L>*fFqa7vXBgVd0J9W(z0n_}J}~gY@a%PsrPAXqgQe#T%VLvG zXgMHWV9}wp%k^Qx#%&F-ms2z+yEy z_%i5x&T{0L<_kr(#!~0pnNh8n0h!c`DTke`Evl6n<1b%c$xYJ!w9jqBs-`8kJOLMO zaaHW*MuuUUjzm+_A^-kN@~_Fxrw+%Rq`ldaZ$rj>+gd?>sKB~HNO~cF zH?HW~$3Zja^5`MOI1z2KcU=+H(Z%CUCXCN+f7NR%h&`Eeo-)mp=MLKX{>3)4jma*% zm}j^|7ry!xr{f5&x=HTY;tAr#Cj3Ia7~Q_Ab%l&IiX7gn=OV{uKg?;IdpB{3;o|9} z;zQh~c~-}1p4W0yrRM6#YSv9P)n{iSw|}Mg^%%Rb@1(=06yr97yW&*|FH&E}Gaa?a zlwetQmifva99^NFoF;BT(UtMEvNUFgR+SgZ;aG~UQ(Sehs{1ag()s0oF*6ij&(q3$@AaBnd~vXR;!$(;E$Xx_zwXmPac`EG z5~;g{t6YM@mS%Zv14i-DdBX`eZ{)Dfa;w;1+^?}* z>XLQzzIZxp(vTiy{`|{%wk)TG9AosEhczon&FL6L*`(yNgVQ2XbH^gh;GYgwoWC8> z+!$^7D4OLApWe!i^PZ1wMzZ*6=9ZuF?7K?g^`VaWTs7b5@S`ZTwJ-2Q=~Fqojh*it z6Z`t4;^dg$TFTigJDT?hzNS-rf5O`scFHQXDP1_~G$s-ysh2pHe zXcoXQQZWclgpdd*zei*ET9UpY+r@RZ&&j?l?8NcVd3N;8UJg zLh{AY_O7{b$LG2E1gmhhReYpxC|gcZhyIG(oBjF+(>obB6_`vUHFr2k6~A}Uw7DXf z?#8dN`dm4BRP<4{(qq^*5?!}pS#=}aEeq0wob2aL;$ z@-<%asovUVX~YlpHH+Z}IK32|C|gX#jY779GV9tSTBw_B#Qr%aIT-`ixpPCeO)%pL zpH(>ncX?aAeE3xCkqyRpU`9B(KswrbfxNv*dqr+u?HXG>@wulh$p*GTWE1+AmE`A%>ebwa|eOA2l$bkL>d=y}(Lyq{}TPc_@?eqG4X<@c!#6Ix?3$>O1)| z<;6a`rjUDmNYg!Y^jfCR9cS$J8KUm0lCh#bvvC=SD^TGCDj;brO%=(>^JGJW-Jc~!yjM+>VZxE0Q&#tSe zhjZRCQ_s{24MfCD9 zzD2(-uHn)7wYAHFn^UsWg(s{ZRbXA8f5@}Vx@mViPqAI6!lgr={cX&_utTyJg(pjw zWHuZ22=8D%KkWV4|FKX*lR(0x?Hons6gAf4W)o*pQo#-D7U%slAM6uh%IKPm?cJK5 zQb?AzrG~Y=v$f)$yGJ;s?B0K+&@iB!z9GfA8F2o@9=NqHUCOThYg)_C8_yj(R<%3s z&g9ZjmW8CkFpE9E0^8I}NB-YNQi|ye zJqZ&`7>Q{!O{DfIO0?D2yOf{a8-GQLr}A=(%xB}Z=W>nWVnuHs!4KC4NFNOG|3vA+ z8|hft%W`B|d+eEUM@^~VXHRm}@ZMwfD@uFcS3Ns6e3Z*8fHCya%+=H*N-rH)cOf_~ zAoLA6;g*NKR*fFJyLW9Y*-YJ4z^7t@;bJj)Ai6%GJkIVVe{d?h{ak;>`pWuQ$Id(A(0z!@?J*a-DX*@@w%BTwDBf4$n|}e6X79 zt?YLD0XFl`A5>*}4`;1Zzozm!^hQwP@*Z|8`8aK@pp;;#yD>V`@^@a|6rvWig0mfE zy1Ji3{#MsnsfYv{T}zB-iiCjWBT@WqR{P-Da4wl_^W8f#pWA70kegMx&(P-_w}j7$ zvT!@ZCpVsk8<~*B?UlS2>B;TwU8Pf1_{sLDOL2^P;CrV@w$<@mN28~q3Y7I}$L}93 zP;8N6%jF(tf190?;Zi7OdY6iwsF*qu7&x0=vT&?=yInZAjA|aXIa_HFE^5RP(*0g4 zPE0yx36pxq?pXh#>AIYS3cOWQKG4F9z4Zpy{&5lOP7_ZHnm4w#=ZdpV-JoU2^|Rne z%58%=I%_$7zH~oBRyO?LXUZEFv@V!%X3=)%$J#wyzHG8{uQ<1#8t)TRdGq20+HRe` zNgb5|j(!#u`@7{tahKtJc}JVg7VO?%>EpA!Vj#Ry!WsA6pq$QysVT&-PWjmj;Sfdk z9g0`tM<^t8jWze+3~Hxl%Je(g#l*if8ZMdk-B4q=Kk$UX`gNYKCr+@<`RExnRiA9a zOY$9G=gaR%O++d(5xW=V&~fpzq3(zipM|bH2-r_IRIa)bOkk(!xY#^d?n~z{^j{`o z|7CLUcaZ@iEiEM_DJdaw;DETen3$-jh=?$d{g6NpA|j%qVq)Ur2P7mUB_*YP7x3=) zMq90*Hv34j)%v%#pz&|5r6GYjmXX;4a^%Pn*~5nq9h8xll9Yfze8T|g5)u*=*t>TR zKR+Ky`1$wj6%^VhEGl+DQcC9Fp~JGWpt0=XLx;XK7W)DIKB(;;{@uHHd3NpqvXh5* z*KWQ&dj)`oE!#-uLG}UbB&A9E02m2zk^O>u`T2J5+QrMu!^5+aBs`$?uHCzLZvg=h zTLLfvjX^JmOwTL?-vq;dIwrSJ3fA>TVTyz{@py>+t^u|nV6WES=iV)w`~Wq zjgy0&4H9+^&h1<~cy{sc6%qzE0-mI$Hs3yb{P^jcPgD$STsr{-U=I*p00#&OA@8?0 z&|Bzn%Su6#`2g=0W~ki`?(LkQZ$<`sdIlyI_HEpdQM^3d+d0@+n3AVf^5VkW{Nq<2DH&Kfxwv<5 za|50sd-?Z30=kC?fB->cK&G=WF)}dF)6vn=($LV-F)%WLj+vMk8NmY!8^<;-Zf=UAzRC*)W^wJE=MBX zvI|Kck`ms{$w<%2CubgKu#}mBmWrJ0%V$Ww zl2K680$x~wSGb^$*;xTrdcYL}fXB!{M@vIZLqkJFwz@dhg+bwl9&gZb@bK^9=jGx6 z4rQeM3Vt!tS$y|EPE>R@V&>ha4<9Jl1P-d`+9nThX!&L}^-M3me!odZP633RjEtO$ z2B@Y3HZlSV7=TMy+1QwA$=6>!d;09G8GmYR|hstEz0rlO*xq#!4!*lJ2m zNkK_PO+~i$bY`d6tf|SE&;xO|yOeLHWUYJyd>xGC`Is1Zj+l6aC+8Ft zm(?J9#-=96XP&(O`uW|{rB@$6e|Wn>M$g91L<6iQ`?|UDVfEGHnbG0#xy9w>r%O*? zu6_FQ<5dnH4-4}?wav(ut?k$$C4Erc-1VN9{Y^*T(8$QB*p$qioSZ^fYdfyJ zy?f%((!$itvkkKK=P$|Gc5<`O(J?X6Y`$80Fgw=YiE6HIM05_$Jbt=3JKWug!}ksj z4|I3piIZ~+4<0{#`TEt1XG=@Z*S?aIZG71H@aD<#S9+S6c;!<$kI7~u78Ykv-X=^3 z4m;#X8*3@&#Vspu2yGuusiKrMFg&HIan{Q1u5UnSR7`YCLRxNVO;dAIGpcuTZhCC; z;qsIDhwtf_>Arp>r={L_IyceVQj(LM8SiVVEN>W8+}_`VX|Ag(%*rY(udIMIp)sw^ zh_;TlHp0m4+}xv=>i`Y~9Ub}l+S-Fs`6Bp<^dh_3m6Us;dvq^rik*rmElo?wcX=4J z`nhN$$#RiTQbtxq$N1_k2Uow4&;Z}S=%l3BsOZG>tlW~u&YrePa` zrme2FwkXOP0igiVbz+k5LqlW&jICA zrwuOI+`4Y<!^iWsTWCfl9MjR!(Meo*Pf0`Zl9278r>vrN@-S7x zc=FwV=bXEhlArS&vCiqJJ913Rm_6|IH72X5m>~b~q>QYb{PL!b?%si^hmRlJpXkTq zJ1XyNi($^`r4G;St!bd@W_$cCD z=9qoR{qf<>H@=QmQ{tA&D@D6hPnx)b4s-iVs1d#7L zAX~|C#w#Sg7(2G~_RVC4zfEzbMF$lOy)A!-Wo*m4ZTk-@Y3UkTI^FZJyKZ;e`l5lN z_zB<0z{pyBWpp-Sq7#n6p^yX1Z$~mt(>9)^KIW&d?P#p`q-eN221Y2oeIqC`cZQml zMMOdMT5>AAz|#W;myI<~*#-ssha{wD<`!h9X5?ih#HXbMonb3wp+G7HrsP%QW?p^# zu(tl;S$9QVYpFlYYtK1O$KjpFLs1XkQgZG&pnT@S73(X8y63KW`k3j2;fC`4vyc@D zCH;MMb=^blEriE!#xpfmi}c>4c?douc z#}fZ`#`f1@9&KWWHBX(3$90t9S&yDJ&{jKXc;i-!Qo-SegQGrNu7~h&GfW_ys|V!_-dM%ruDktG@F2!l(eMGVVMJ>`}T^6G7ki+?iBT?B$NtT zzq%Nh7+U*!{(`zYi^wikI!3nlwY|F(j>@W;hZPj3CFPcs*1{{&bDQy)j1!}oS$Fm= zc#qR(&`7CY49qMot3vkmpjwbE^-Wkp7nbnw@x%&!n+x53uNqk3VKp6yIxU} zQ+^^Q3VOo#n0o}kJ_{;o>*=4-)74RyJtik2u%9z&ic?flnEQp_TdRrt@cvO%<||Bx zrz`MHOH)>7#{|qHW1MvlaPr7#TKI-VBo!9K$5+%PUtmf%zGvP}o|40VNcT>3ZrkkQ z3o?3Iaxw}kiq9W6R#(1KP%v&|)*Z@|S1xGDE6LLJe546UDOi7%U6!%-(vogk?XX&k z?yY@g3gP!$zsVnI3$DeVcm~jlQVJf2#SHdgQTdS zpwNC{p*_M<2Smg~M5TA6oiIOTIm9w^sBMSXA+?ENq3$OvRb-rd74*(uwXwc^=bo>x zm#d3|t-Xzzp`p^-3%3crSeJfVg50;&yZkB;FS+m?j2-X>UmkT`Mfio0K6SVTC8wcwxtUvDoTcV}no zs}@IS*fwStx2u_7Ha9l4x?*_EkcDg~EF~*wAW;5`P=S)aTzW-%UI(GBAT8XCZKS)p zrpRAeMc6mv-uX(VJ-Y-CNE}wvIb(9=#;x1VE*`G7HgqVzzR~JU4-`{h_*26b2Bs?ZI2E3x9!a_p=1A_wt{GA;fPjOK_pb$AE zs$}J5YhvLV7<`e9S@tNs&05v7_p5n|^%ow|6~J?%Q!6X;Vvkqf3J_uEPi}ofPD{64 zR8h~s(A?s(t&_`LfB(Rckl@hJkkHWJK>vW?kf7k;KtCTBCx`2nS4}l!c_!)!?HzBa zXt%M^>@&LyDu+hJC8ee$Cnv?l#6(3#ghxb#g$DTeTX7MFB@QSY+q+v%Phb1It;}VmTl9E6_kzt|1em?Gwj<>IzH$BF{EGT%;=$f^IqgQxbTwHv7 zQhH`)Mn+m{N>V~%VtibDTy$h`K%f~9r-bf_!!oks;_~_y*Kggh@wljS)g~+}#NNqB zMaMZJEHW#_Y%sd9aC<}mxf>>O^tr*Jx;+FWC^R}gIVCMUJv%oiC$FHes2E65K|y|Q zUO_=#c6v%ebVO)Sps$;^mshCgein5rpO}=Sq{Qgh^vsOx+}ynU{Jh-ktSo>jH5J&9 z5FHlcd)>s$(8g9pK>U!3?j@V6_U?gsIf0>}epxleg~eHE1?7d=8ToaMwfQmO*Y?o% zmDS`t7BvirPfSWq%>){Y%POj>swyjMYU}D78*1xnVX&(5^2(};(&GH=jI`v0sL+rA zU;n_EWMBCsUYP}Xg`hmUu(Y(Sw5+1MytJseC_gthCp#wxtfz@_F#!$^H_d|Ynw>gl zVWMN{>*^O1Q;aMK3y(-FEX*mbt*@)9sIDr`$!%!Ph>x+76;aVR;g^(>TU1(J0fSZ7 z);Bf7;qaE0)>Z@x*@|dwg*P_T)YR9)s;jFiiVN~HQN#QXG1?7RVCOM5&{O~@RTbrBWhF&LMTLb0IiPY}u(#Kpfas{`(9pQpu=wnhv0YiAA)wwIN!|1I?^L;?l}$8W0F10)a-MuwcC7a9{`0(ca$ChQ(q)83Nwi zP*Yu32dl0sFD=Z=%T5D9n+bMLC3jREYB3FP1fsR2rLG}bOPqFS1p;LS~qfC5-qS!rnnP}P9yKqt5q z)D|~ka2>!%I0~4AfHyTaH#Rgk)i=}v^hM?Mr5PC+`Pf!OLj$(w{{5y(eBbPNRZ~?! zOkQOJthNEuNtoyc8rs|2@q+{H$jaPmR9iO=(>KsRGBiN!?I#Wn^b?5##J)ZV6~NVv z2awQ6BujdynrOf1ad5Cg-LJ+a9R#bvO%CU{3%XaCS_Zw+9so6t!d>>(1GT5yE^ z-k!mcv9Zyy;laWF!QtWI!J*+HAjJN@o}TV5JY;_d7So2owqe`bFl}ue9e8|KAA!)< z)7RaHEXEA>^k9(~OgnHj9*+aBj&=;>XE>_6yB*&*Ix#*rJa+%t^O^p>vGG2bM__qz zegzzZ>>%_J`-X>mx_U@X=@}Ru?#A`@_YHPq2WG~`$A^bUMn{K-N5Pkoks-iWfB!%q zKm;6z!*zDzKx~2F!gY4xyLt$O-kvTzzI&92Xu%G2H#CDk4d2mA=;{TZfO1@WTU$E@ zH#pcmI6K?X32ep>OmsCjb&QWU1_qQhHX_vZs3*vKH>nOi_qEE-!syW z>6;p#93LMW0)WOx!Q$>cn?}uf2VQ&d%PhRx~;% zr=zPGR@dI$+uPR*A`ygPS65G0_sB3B-iZg%fUhs9Mxq;G)h&a)T zz|hd}0ALz;qOZ3d(T*c@!&``B{X-LzQ_yPyfSH&W2Mmvm3kh%ar9pFTa zX~VUHQ0c&d{~h>ld=H^_sLC$`k1Q>QH8o><`uhR*5E=p)8vO(9h|X>h0>g-kYB(0v zT9E~BM~>bncH(+^`}zie8wLRdBZEW4-X2^FybaS1FGdWFj*d-EOihoEO-@fwPfX8D zOiqlA4THKQJcKUbAizs|M+X*-MuTugW5B4xV8NsS<_ByyDlNUKy}1^goa&kgef@pC zT?9fWa7TAHFuZqg02B?kSJfbpt;mw(^8D(@^F6(Uo<1VbKRh}#(ANjN0C?>}Hnn#m zD`CJBU~u&e&CJYBj!w+XOizOYHQ;A-WOx7!GY}?STVo%GMWdie5==^9zya-OEDDN} zjPPbmD+=2VLbRm=4|*ryAQQlp0pcDH$nERx!`Ig!5H0Y`xcvCixv{PRB0vfG3;Y`b zxP}IR>9|I09|4W)YV4dI8|rRHqWdT3r^fEj&df|sPJpN$85tfN=_CbhJd?z%ocH+9a+q!y*L}W!hyrH2e zGcUb%WN=`he+Xb00FDHs2Fx!50|Q{H!C^Xy{R2bYBQujTlYPyV6?Md^vFVxn_ors2 zrvOQ#z-3V6_xFPs>I5UK4UNSh(MaGjFdKmf@Q6jAlH>3wR4)b$Ds&5~1qGCXu?MD7 zFvb9V=r&N&JBX_&tp=62$)(R5P+KjKoSYj&~Q&@Z!Zyy?&0y-x%tUa zLOp79c6xGZ8aQosYI1T6AOZs)8u=iM2%R0E2Mh*_#z6ES!3xpR(t>V)r(7%PY(U^} zU>fuAvgq1goqlFR8_i4!|*^Bg6p!r3b`kFEm3yizXOkeFLLY^9zg5A5Pw1 zn(OX`Miw*$jZFY%#sF0_lhfbq@V_F072aXmhu{~Gb$}BEGaF36`2sf#^TY9 ztxa`RrIj#v4*@t2(Nt3nZ9mG&iwa8e^1G&nh6g*FOG=w@#8Fgf+r%J9qq| zX*$4$0)zvOK%98=4qPjde_WizA^S(6DH9C!QLvzaMGbgt3LqRB1j`En%*h}~(ZCU{ z4UN@RRV8JG`Gwg9MY-k09yAQ$U=3)gsw^!jZ|ws$(TK*Hs`4_h7b+;o%E?J;oE#mQ z9!3_GxAzW?)E9RRclU#tAFM!7NMewPmZnCqhiZVgO}?dKW@V(NCV%_558eim2;2zC zz|aV^d_ZG?*w+QEN?`s20|tWvJT%t8DhtaBa|^*u61Y?-x>0`=hQ+ov!;3RZ(0#zM z7*um(by+#s?&f5qq-DjI_K!?V6Wdy`Jzaf+P1QXE1hCq5wYQmXws1 zp_eF_*jX9L*Ec?|FSIqGyYL-dV1elE1%U>>knn-n>BNI2wXF>cMiD0vHk*!VjrC{UL1FE9Y&G1H8CD?eUfK7H%bT)F}(X-yt5=1+yqX*Xx zuz>N3MIl?@O(5dSO9~6~a&oe=a+>DWDd}h^KD_(*b#tksvK$VEGhhL{psga{6MTVu zivd#)7+44}Hv@k))&Xaf7UdV^WMs$2r^IGo8TOm#Ml=@{G=gC6#I~VYq4}T|R-B&; z_R(?i(a}kjW3T$6L#j|MVCHJWwgIlODB!00>Z-D$g50c3a9T=8O3G`Wd-Y-c?W;HI zpFh7CY%VHkf;L=W3ylD;R)8LCsapX8;NOPE=4MdP0&fOGr>3&36zr(8(o^GOLu1nP zg{vR;V(T+=n!)z21I(A;C-E8^sw>O#v(v%8J~l2qGz-~V9}!dASXEcw(9(iHwSc{3 zV;!urq^KY}1Duj#qN5{YqLUhiXC_BSrye|gvHWndEib*Y4(#kIt6()?loS zq#ZFBDixKLuq?*#v}h zUPekxWLR)SRBTpZeolHGtSrB{q^zp4sv3%!%JSmE+|2ak_^7aupa6gWpy23&rk47O zqS9u<$kfbGT}nnpMR7?9ICm8mgHu9Y4meOj=R6?k>EPBdHy<3!N=u51^YijDGP9Br z6C--xL5fKvy9T_tLw3Ni81aJn83J(nr@Qn&~%f+`Ln+mdX0qBeza5&7#fzF1R z=}8H({_f6>_I8fmfniaxK!9JsD>fk^Au%C7HYPG0Fmun%-ul{Q3-e1?Zrrr7cl899 zBmr?{@Y<}zlvL19bQJJ7uXE~@j*i}06LZU}R@OGIfni}`;2HqS(bv^JsimPT ze-z|24@yfPlszJ+q^6;zd-mdWtLwMiJYDQ;on7s2+;X(LX>DzD%j$}yxv7canKK3k zXAO-^E?zV+ctJ{z8zj^~T8o{HecO(m zyY}uEm6DZH);2UYHob7(z|i!ZrmDV)fwqqB>C>lmv`-$_P*qk|kXKYzQdZa0)Kphd zQBzY@KYm<8U0q#GK~_<7|0`;}+eY$=>RNg_8k(B&a`LiLGSXrq`}gpG+#Oh``?}EJ zM1*PU0A~R-5(lUp|?goSM1+==tkc&zBzDpPpHG^5XUC200A_%QhZ90nvlU z6yy~Y6%`faWaU&8rNw1r4;=!D;X{X{L0VXN-+qv*72dZ`1Z1f}o*HDSMMQ-`f_T5A z;EVjZ!>11kitOJjazKD*=XO>`dMdK7UpLp^J_kvgw75VYpF2Lz*DqbRykH5r)Gr_` zIyNygKQA*4jJ5p2;tCj8_`r0QUszg)#t+QBeE*pWWDYsFdHDoEH=wuudwD_bb=Pjd zC+{wv?VOxY#+H?h6UyBJT0z#9iwmSt+1Z#`wlNS>ySPNT=^5!jhVRqj{A3pjjjXMx zswgTh%}+~JlHAS4%*ng$!|-EPF*zl9X;DczmE#7NZfkYx1+2{4w%g>%Yd%gk^cppA~ z{`_fU6Qsq~RyQ_RSIH?Kv=BbgZ9Z9CAc8;qof;G5U}ka2P~Q{`8sl@?8m*NjS$AZ4 zq)!>zN9Ds>y6?ZE02xVEHU>%t?%kZU)O1W7yda&sZ~s1VIWQCL#d zh$f6LJbJXa{OZ;6_jwIWk&kjXo>IUWM*bz0GHjYH1Fm{x;0nR5tJ3+vkbU_?&a`a@-vOnQr_Wrp_4EY;9C$W7Aw9nejs<6ML_<|^ zZdwAEv4Zb9Slc<@wzKmJPtMNG0#|57WhLO^DK|SizoZ;i2Ue=Wq!7<5ssh{DsV19Y z`TjzmXBvN4b4^ADVVk~(o6%w6ef+!!&fm6_SMaN- z4n4#!WgT6F9K8Qzm6DN-V>^%F0hxoc@~Y~}D*Cqq!ootsLi}88u9+T}*u_EfsHFr-C78vi13 zFzxjd_Y$#_2panNbmf}+dV5o9oIR4t+_#_ArZ>IXN@bCkJi-}tOE>%7`)GxZQla)c zj9=v*n4}aHmNes$S$@9p1%)}Vamwv{0s=c}AK@AbLo}IRj8r*|^^E z^>TI(PRuRL3bPQUq28;mO6E8uM3MCHw7EzjBBFC}f%`(Rzs9Epq3bSZL?w-`%Drgi z_Rfkvz?j3OVql=c|Lm4)11(L%Qo-5Kv>aI9It%m15qxXVp(Z)sg!J4>WN$yFBr%~3 zH`3dXn^jShxO?_wR$X~gP*7@pM_14A%osc^I;|wrZs#*9DL*?C1wJ~eZIYTg>N2}% zAHXp?V^(A=94*9fz3aE{%7*LjcFiMzKRqii#X<3s_mVVw>4NY!(gRAJsOc(-Q6l!vSWo>S3xFh*(yVtEy!4PK2g@=Nrf+@*R~nmNTkvXfXQXOOUZe;?B!7upFMfbYLRFD( z`fO}jzeJPfm{w z_Tf=Ac_~Sm6)57=6cL``c~XR5MB}=D*c~0#MMi_rK)RB+T18bspKxoI^OK)xV;hS6 zZBk}Ag!pME%46&g_V-k6a7n7`>TAi1?dICXy<0$7OiE7uwEpn}R8>cd6L?cz?mBux z=d_-I(fPAl@)G+5_K8YJNgfau*u8^`n@?CuMr`LMI#A+uSI_K|d3;%HP+)juu$A-! zWmWH4zSFMZG2yP-{2RE8V;ZyeO*6z0HDP~7W7%|EZ^iY&cRQ$}HS-#Bu9HgyvV=9* z4D#p)7WVo_rRIZs*y8NOhyWjV7Z+zI+iS+hCAV*mwROx;?2^?nvv%_G3knGdy61Gw z^sK&~uC|7}vZZo!h;Dppa0ow+IOW83{WpuKnFe%i?F z(uLE9IcH>f~@%C2C;8SuYb{5J9 z^}Yh7t1M2VY-XLa<$|(F;84Am`)n=i}!e7#f|JkylaygRZE-t#KB( zSqFKJ*to=$jO@I8CP5BO>I5z`S}F{>%smxAvrA*f0-JhpwS@+k0pMI) zke!wo3wGK8zIQxa9BB0n@jiKiHBwyO6}y)z!_--5vA@HkRIy zc!3S3hljhnn;ZBH`Ve4&+5`kbl!BBM*cStdhzJi00ZBf8-@D!(E>8BgH*Z|KVhQ$w z7felz&l?$@JA2ju41&`-r%q~}&;*+@H6ZF5nkTfh!LT(nHZ{9+`Pz+}w`}bl9Gz}E zJNy2Z3CITgEq^ocf6V~6W+lo0wSxa}!|!(hpeo9$IMHL9hF8*ctz0bec1T=tZlG=T5^8M-eB0vQiVELcHAtgP2 zlfQ`P_iDeu0|FRL@(>yW!GS~t@)dyhSJjhj`oY$}+HR}f?<{=_k#8urus~mxp{N0w zn7<6@CjkFAMxpmVRr;xb)C!}bx)n0N;{k{;Xl3+YQSnXZAIX7!G64;?Za}^PgG^RI z|0_t)k2FA@`Vq<2GjJYB*H0$=^MY@^W0cVtB^4EAWo0FB9j^qip|^$!_>qc#CJ;N{ z#?v1msVGC{k+lD__CI~Lg$DycA%*03`Ca=zSGYBzex^s2gy$RCKlS>j1(1C}054lW zexX?P&jCTkV3bL1pdI5kf!;!sAsB1Wx9{?&7=HMGR2SrLeo6Un*udcZCFzhUq?SK` zAwB+X)mCJwV1NU@tN0UT5UTHReie_u=~ROz6G+)Nh2P$QZ{H`Ie}n_@e1r8p&aqf! zRWR7LRj41L?57HU zEchwFA)ZLCP{9J8e()27hQ!Uk(D?JmTPFNm{&UHnDBmKD)UnEUL|AAEMgw2|Z;Psm zG9U{037Yo)#DM<|j3n0oH#+{i&%YV?n}NR>_?v;h8TgxlzZv-dIs^adT@>_#D*rVC zz(Dfv;rY*PGyfB4zyappGv~+F|2{cD+kX(xf6lVMHT})N-wgaWF!29)diba6x9(>C z`qzJ-uV3Cu{B;1otoiSt`Vr4Bm6HldcRT-6`4d?GOwHB}^AFd||4{k2TmIi3{+YJ_ zx1W(9Y~A<&Lki+2l)uOd{YS9<)Da5G$B^_S>-t;ymQmkp{Sp?a zskD_agL?X1zGcz=SV(#YWl2a)(2BoN_5+e{kI*eWBxpb_u$Gkif&?l7g8Ui!H_Xs) z%Kb`y21(LJy4wfYJ4oNRKDSD~>Dao7hVnBcQT`M4Ti^hxB$i2J1EeUZHpqP_E4Ta# z(w0$MsujOMAze8`IT(;K*phE0zkK&At-mPSvK{K^o4Lr=@3lzQLjoe=k12saT*s4m z`l004kH0DV0R!Z~-<<_{9QxTfsKejjfZPf&cdHGktpGkJS^MiwzU8<6?86_+A=AG5 z80rxW3GfT?-_>tf{=+*`r=(KlZ?OPk70N38DU!be;`cg`YGD6Xj{px!37AUi@mn3z z^S5`<1LTw~wn$F;&!T}+Y^1~^DXh1A@{Ra!IKD&KLI+icYAbyoGZ3F7`2RB&{Hh&u9pr;} zUd)^KKO2hs#Yt;lyY@9x`x>D}s1a({u3fuU)cz2ob`eqg+O@BJ?JHJ|P$Tvx_9!uG zMTv3A_x>5*^B+8~*ZJkVpL58_{(q@%@+glTIaK27$m^_fGzNwrN&uDOYD^_dQ^C59 z8x*PD0*l3=c!tKfkmI@)IWj?0j;?Eyd|5K7E2%@u*3k2EmmD=ISFR*W9guia8jn#% zq@Da2qjq|_A9}AxQmoIIzW_wf1hwqEKxwe4^WU_Rw<+n6?3%S@(0YUeGYQTLrQHG2 z@&};PHtc?N@uJEq=^fb~bV|>SjSzUhS2i_fp@oZ-z5!PBPBLL$p}3AVqAc^w8S3L6 zX0pvMqs%~k<|Md>-R@hGRr-#gyqP<6?%j2jg57qyL8Qn5c8Yj(D?m^m66-4aoB7kS1m0iSv{HEXw;YPv046(~O^ z#l3sH_oViiGMHF-vTDqtW(nyV;N#OPM1&=d4-Am>s!k#_iprkGw(Vj_Iy8sFhLrB7 zTX+;zGE!2m@}x@H6^PAgw8}bD#?l$L(^%upgSvE5WsQcZdOH-X+j4ZoL7n!}yWVwU zd0C)s)B&e^RYIkHG`Ohft|DmsiN#D+BgL`QNo)5s_LWvtSPp&oSt#2Dvsc%gWWm7< zNrEHWT9%+!%|Y=Pzz=Uez{lN@_jG;`=|=IueFjZo(&7&prG}-s@h|Vtwu;{v=WgX; z@CQ_uk86EY+sWk(w3!LfzV+t%xEg*m6HgqYVX6RK0vT57=Ki=<@bCeZQ!Iyy*4&-- zZgh?3D}%5p)u!B#OBHu_%Z>oM5P6nICr2v9bJN@KPM_PNZ5cf6Z23d;`4*zYl4oRl zYKm=BCP>}TW0OULQEtOloe5=bZ8uebfHZ zu0N-OtWY1RwQe`_Ld)75l+cPJbcPo+`fajSXHPrFL>S`T7Hx@(W(Jd$6HOAPY>u@( zohBo0#WIbi5M{zNMIj%dAJW=(P02V!K}p5-6n5#T=0>%oQKXR(V{YAYR+YN!r1)Tw zJV5!*G<-h)qs;$KbAso!V@|K(bQ_N2%0G+anTFJ7)pidqf%@4ez{K1}0;bmwh%v=v z-whbHw7K7%9v!U6#h7{LocS1x&vzo}Nyc_EAANP)rI9q0=jM=@7!S6v6mYebKAcoa z0|(`%RzBY}5YF5byQW~i#w_mG>_nejlh@GG8cSEzr0U}<%M@>#b6F1hL*1!)Y5{%% zo9*#ty)b8X6F$yo=f?R~=U-WhvGq$d@bEDSmx&m;=%G`WBYs&mp1XpwMXq|@tm<~b zX+!|4awhvd?)1%VrSxUXQC_iMz>{JObGNdXsds#&ZrY*Z02`au&RJ=QPHeUYWAQiL zfHUs6@DqZP3T;!E-Xuj=fIi9KKw%!;@fre3uHE5i*Q~bUP-IYKi3D>SBClg481SeF z3(e3hdbXg0vHFM?0`@xa%)Jg&CK5^6N(A;HiBE1|lZlUJvj<>5{8R6mb* zBbG=A%WZPd&m)h32lYNSP_?>|%I$W~KU@nX8`wqNju$8p+j$X$v%FvdefWU@AJ=*& zuc5jpK0A(j4?Lc<+J^KvVjuc3<${A}W`z63h30zBW!jrrp@gt;!h9tbHOXIqmv)lg zTzeQi&Q1!{1MH0^+0gpy2*{K6KW+FMKLBh}AR0?#v?lzHEo&;8rr~#n!Y@l=T@fmFZQ`QYt)NaN zQGMYpVW3#QnWbpp#-KL99@N(=x0abcMQ36)ishTEYuKITs$Mis^i5MHE1MxHZ5F?w zsLPFOy>#lez2SW3nV?QrFt#zW!8X>MT1;0uSY9P>`)E<{2y##2^f$j?uK$O8hwg^O z?hzg*k)qbC57lpzXk)!HO{hu=+V^Fwu@9gi8FM`rla7#Jfn|8rCFsHBu{yMX_Ny8C zxJxb49?s^jo__Kki5AiD$t)QaeL0V*NLdAi@z6@w_~uC&bxuJm&Bhxgn}3oyPcOr; z1$-0jE;}^O?6&9NaOEB+t?UD;+73xc#Iu6TG9PN=(sAz~Qu=MnXW9+e4wf%dZv>%vtbH1ve^PWUFRB`;~m03cq^TjbKk z>_y7J#Uw0y?4{_Wc%2Q(k3-H{QO2A`gZDct%9($kE3U9=QP7u7me2=Fix{D2nJ!Ey zAs}7eC7*h~L4_y#t`n~rcD3@3<|={JwLs;_5z)IvplL&Uc>6AcwiZbPPK`@rV{*1S z@}@(Ki&D2qPpdL5wCTJBZGkk3;q5*`^sF4t-rD*R{4i2}3{)Cc0_kp}!$<({NtLL* zKzzbdi$9Z}H?&m$SCIFkImd|!lP2%%cNvk8)R1_ID9VgJI28yjo9| z@?c*k<@`;^J!R;{gc*l&zuF<@41&!N@<$esl`T>+sh5kWiU026va0*c;@bJ z^6#yI3$5!}%J6JLGkxiGefie+?g~qAaup;sJUb?ELnNH*4f9A(C!ceWxABec;JKfr zhGJ{6K%#aWdkAe8ZwDV$yd-DwiNJ>pJ;#*72GGMb6v)b}dT{AHs%1UscGZ_@->OdG zw3@+Yyro%Onb-4aszFyZ^jp?`Zo*uzHVS#rk;`9GST6}{n>+yA-DgH>*48AH9;ozCC>%62X5x6qs7`K zKbJ9U6mj}O)a~}QiVe;~j;k`*QEpA)uFt&hlt(6*MMc;&$UVzB%${m+1j(C8lyQ#2 z@@aFz87v+8%dJs2y|_LNN^Y!S&aq~X*|iWIi+TNd?Z_o}eMHf-w2CBWFL0IE+pUrA zBw5+Oe==;*+H33tuUJL}T95oeb!QdoEHTm6vAH4H&>7GPRz!}oq^cIs)G`*`$bQRR zp)e%zZQP3Hc;vpayh(cYC&G0ER(RO(=H9xK?TVAqJ{kdRyc81^QNOp&W{aNPi0r%% zyqmKgw|jI3#p)cn^2ZcskTEbA6FjYo`@}CVxSQIB&*RP%&|$jw)^m-arkt8L!MQID zsAOp1IfGn6$tn-bg7#WIox5LXC*`!I#g>p$ zJLxfQuXZp@;c};MbD#LuhN|L+$NIH~O8MD_?Ya3@3`2;gU80>`ME;F%;;cD#Qn8TM zfFTleTFmDGi;{Ol>vpZ)@X5^=F=V9D<|m!eL~Jv!0kP!W89-bpy5_QB^hKz=1*;HQ zl{|ZYv{`-?DW8W)&OrVUS-|+Ic^6UX2Z7pr;D2mgxI4dw(q-vzu%L)j( zS1Cr-mmjxaWT?m^k7GR^DgobH3k8>RJ=V(B)C;8RXG!cjdp(Vpl=woMc}dyBK)QS- zIR-6Vb?)GYJ-LqIBNGApHrJR%uJL1pHR|Zvd%1RX>e#j|2njddr_!I^535S;sPDaW zQwiV9UAg1H^wWh7u*JpDHjd=fe{70on`2C?bETtANFJ%EKYBZP*h$Q7 zfI<{qO+BtKOUK>2IwwXtZ)M&c&)l<@3O!x*DcqhYcC5rXd;LX6Mub+ME-l2{Nn8*o zByMyKOwp}n2Zo*z`xfKzGHxTU?^a~Z)On}b7nvu|J1c{j2m>xE;XMS&_z1QeYoIS{ zokP0#6c{WJXV`$2aZ}k#p>Z0M-2qHUs)hM;a`m64Dp7XAPdv{r=SLU)R08L-E#>GU z(nGhRz+{#qXKM4ZHXD^1moBuRMe9*HVZQS2)c&yO$2A1TKVm5YPt>)z`X{L?XWsb$ zp5-)J=wCCWpL$!CU1Aqk1Bp&@$fW4jJgrP%nj5` z5N+haUp~adQd;K!?EO=7u26}aeq<>FCHETVBfm{ijG4 z8BjV%`qxrzDgP9#YwFwRII#iY&cKjF*q>!RAM{;#B>fSOv$|Qfc2Qdr-619Cf@yn7 zAY(&w$rs6_V}ToT0o-(HTM_q%v4cJ6f>-{`WXPo$EoQ?26T6nPERzPR-f5O)HeBPF zOSsmoR(d|+W|R4SnosOh>3s!FZ5&%M*be&SS<^cRdbpECtWXe$caL3(AjvM`KtaDflUT7 zYQ&8r<{i?I-_v=LprvQ0MGI#kFfaM1I08uuF z_w5kpxb~OP`T3_rZx#3AG`OjN`LY;86YG$gT^YS+ET~M8x|V1f?=dVP^5k$Vttd5U zxB%%l4~wtSSEOZC^5tw_aYLGNfsN5KAjWOB^eIocS!vYRK7y z=+*5Fbp6J&DlO4NH<15uU7av?iG&HJ zsYv+mLZftuI1lP18#YO99j~RA=u$Z&RdLZaxpN6iIC3kXi0ty&(l$w`>8P9KB#%Vg z-Wnq8!JzJj{fuJc7I;zxe8*`wF*@Z^uty$N*%7vviciXTsz#lEOah1LcLGD^U`n5Cig0YL}J+lqjw*5uQ-#`KPs4i z7BjkBE}9G~#1-nCx|CS8LAA3??~Q9unvRj2@IqZV`;7AL8QD;pN@8uNy+`+AYf1a1 z2GB){3wKUbrVUs>{UIp|P!Z*SGZix5Sn{HZA;%g)e+(NTu_ya zPnLYQxuzzULo$YF4^p`mFn)UJu|k7**qn}GYPM&rrPi^nQ`fA(tgZId7)xkR zuKtzgbtom~pdpaf#wVUWuM1^=ea_n?q8~jgI{66LF)_Kkl{Y2Z79VRWTq`nRVV^Sr zX*pWW$CuGoaqsVw@};9gD)ctuNt@gp0dkoEUX^u_-UmL@#ZG7b?NG~LltYU3KynNz z#6mjr-bvVzB?!PnjxspvD$s#v>?P{xSn5Y9_IfC_m2d4MXNBf<%Bp~D`^-j@p>yrT z-DPSar|9F|ka}qo69S!yGoRvh5kl>&@&MjFr-9h z+o?Ij!*egSy8X};vc-y_5u0i|W?_?-deF{(VGC^2>GspUq-H*|H@j>#DTJTIr_E&8 z?8tmC#x&DV6dGZai;9%wUOe}&7x1sct9MANgOI!NYOZrh2THtZ*qCWgT?(uXmZtBE-YuEhEe*UvgS~>H`I^i_Na#U zCTL!iR0dKoiUk@_9EQNs_oLPtM&%pKt%w{{*@J22^6B6_O@0<_sawUe$ON(8q!u&( zIi_)Khun@JuHpk>E{?1g-;82iJkYk6{xHBIA_~S+O6yH2LL}^ZVM@7ymCmKh6i_xp z){bQp=)7{)$^d35Ok-MnKG+mmA?2Pod5k5}|JOeYE6o6el^8Rv| z)&?Rf$luu^nOU?=oVZifm7ufu*j2?S&X~VLMjEBm>+2w6sJ_JPqy$7I2H1$+)`vm; zIT_(@JzHl?bgeD9i$JGIfR-GJ(t?&erm#AcF=K#=+2JUX8|$>T-PnccC*O|KPl<}8 zJxIR~ml2IzV%flEI?9I1+&1+&n5(wlZt)ai?OP=zcFvol&P#_GZG{vZrQmIHU|#P5 zOpU)0YaK0}lwrkw(Z#dvY=t)Qtt?TdNw(5zGx1Py>w?=uW94K|^C&V;iUVSE5_5(m z#=Pv#2dQr21iZX{wNQNX2$A{0z2m-IW`alf;_1zd+*k_1=@J%HCpXilNYJU@#j%ODR&6FHACT%0d5fy8q5Kp#>b6UljX!oW|OMyZq@ESvN#xA?UO8TIZDbEB4b#5sH$&g_qdnM z^4hmunzI*opS&Zp6lG=JK;o;yxlJYbC5MxX()44^GHe8Eye0v@noM=>YSsh6g;b&Z zHwMQtPk{+Hq1j_ZyXZc&FoYiF%PKrpGy62f($S zY?z`MP-W_tO2PNCJ54W!(yV}3312IwFp^eJU?ZlNFJB(-a6!a7kxKNJPl{sbRCKA3 z=+!0K0W#V?&x+dzq!#7&33%p&l!8rdHKaMXKT1zwM~Fu)#>+{oXs~ER?9f(69wc(P zWOZ57ej$+IL=)kU-)-gbT&B?vEw?A_Xq+)pEVg5=;3Xp73aRQ^u_;{=s+c`)_RgPy zBvk7v#dC`ZZif~0yVFXQ8gRSuWM2*@^5?gg00uEM{i-G*y+w!>n&Igt^K4D?lBCm~ zbNJkHG*wzV0h!*@(pzyv)LSYWwglPFlPt8s-kn1*axu;08;!7)n85yAm||Suc>Db_ z+ltImW-Zz6)<}OCeP-qpr^XE_zHBso(pILCIxBlVP+%?HUVP+e*r0Q3$c2^T7|XvZ zr-Bq4C|7T&ie*}Udh$>YPF&uvboVF}@;)=X+IA0qia{~JishIgNFkm;MhHOoGz4vo zkK(T*4V{aNuzn;balmX|m`!$(B-ZIfZ7^PlY{DjW#oVySs$FHd(B^HDA!qbHI6)QG z-nZ?_Um`zC8?7!=dVFiyAq*P~yohyh8X7q~iL7NxevdR}OU~$_!g(j6uzz>0_*j+^Xr?$lVKi zM!cS=X`C!ueDaOP9jL3Za0l-kP`)bubO@A^?FYKBx+y{(!Vm;u8{bmlK5GisDVjNNgwgA=0GrgV%jF2 zy|e&4vXILe9c#s!ceih?yML!uw^XHN=Idh;Lr|!Y>};lVi8sd7250SH+`xV3`>8WC zTKMA4Fg9C`Xpnkm?v!o`@8OD?b1?K&$0IbM@k(;EV$Y&qNKrMPK~es&wHhybiEL2X zS@sQ9w$%+b(p3jnV$U1`Yt*~1Rab285&DB{b*LCI-7HeyAmaFZ`+QAk`guWB33-la zj_?Uzz7eblt8D#H0%^v?rzG8$Jk<7)*isTJs?ybSDHqynB0Chf_;P`CXLVuc;;B3U zbLE51*5d2v2i47{UKzQtaf&C45>ubxhH8<~8=a+e!a2*ZU|zDBY&Yi9Wo<$EQGvYX30lnL}|z zU%cl-$8gbIO1f{>$lkLdWreeP{)nRSTGwN_pxf#jZ9UGa(N#yrv$4q;Ob%eNME?Eed|!zZ{JWU zbL&=1K&m^^k~MeIbPb{Vp2d$x`6@D<#2KGaI7EfCnD1c((nqGtBRHB;<*ZFg&}eU` zBNfi|Rl5;tw~bPOTrM<*gqiXIT!7p04y(7TE^ec?<1UR{IuVSHmNH7RiKF4phHfx3 zRzqZ1q0atWd)o@mxFw(?k=6TeaXQ(Ps|b3DYkN0+2Sj#^5sa7Z@;ss_imkaa5Feo=42*Q>{GC7T=&>s+{qsnz{k`y_?v zl)0>_$cWg}ie)C0T3URpZEOZl!9r@l zr@n$#zP3!<6VA`h`957BtatB*--RXC7Jr`+Dp^z;3UL^?G#trQ_x%qdZ?1}7bbusO zjLm49i9*h5A|tjEgxCc6+!vdJjfjA!MED+%8yr_X3XX`$8E>0OE*r#awi=1) zRep68P#>SmPg9v0zbS56MqyJJP5?ahPWxR|h$ zkO%TcoUGUOF5>Us6+l;Zt|t9e*h)SzjvHhyB>M^hnN2^07OS>6g0h2+NCLGez4?6G z__Cqxs+MGN2?jiL+fSXHAr3B~=^IqSi$uA#a_aA|sF&(#(Y4Ra>T}cb6eM*H4jG4v zDt*PL$EG-2^+g_lWMiSZ!sKiVOIN6tK#q0y#Olbf3_AK}o?9Jq8JGJTA=H9u{g z4^r`i^wQL3Kl6f>NHhENQPR(hs~aw;vTdfZ9z|hK63jZtlo*%sUyW=2bTjGdZs3Yd z45Xo>F+jrvEwKF@o{9yYXRc3jsiMR#ap=Wsy+=(c;|J7LnV?nPp%JDtYg~pb1SOf- zR2A@8q8@^(tU%WcQ77tqxx@SJk>#?7Tkh5Bv7_~3*2Vd=^z`=Wq1Q&&f@7=YvkGo< zScw`ej1BtN&1qF*|`ShLD)!$e;txzJVATI89znVPn(E@uamfepSBZ^P!q79P*&j^_`%*a$vM zu(PY4^%pPj8Q{^kEAp-K%?dTY1JRbk6R)j~@N=rxsJj7L$zW5ZFtf!WC|8qXJWY(G zUQN!X>4ANcsit0`>0D$OGdm$Y{}5zd?NqgkNlNP6EE|BhlM|Qecn+A5q|weI!A)NE zHBrl-ZM?a&NBszck(jcwU9Q0dt)#3r#Jr}vlDSy6dtH;(7EndkQjKYh5rT*sffky& zjDDZJ2r-XG9a%}S!-p#hf+?}4E)D&z5Z4=O&XDR6`&-v0Y?Et=lB5#Daz1`!^z5vE zUIK;}q0T&i7VDvL#oZJd8V<_OONu!G*Ns=66z_Nu44 z6j4T6r>lD}Di$=GqBvbuRPFg6a;L*Pj8ZtCMW~fFW1ogAphKtSBrQiG91awe7X>gp zz9A;AW(-9RS8@7HeMwX$lBptsj2!MvF1_8!FJ>tCY^Z_r1ST=BNUx9(rS4h@7-Fth z3~NbdDZVehvJ6Ww3S1;Dow_n&LCiBMpwfHfmTO+8^`7%HXFCl=qe~g1PMGe>g^6`J zsuOiN%?}`8(oRnls`cY7!~JA=Efb>eq|sblj?q=1!qsh~dk@)1enX$GJ$s_mQ=@M{ zGR!V7jo5+8bD$(lIx;s77zyf!)9??@rM9@m1DuCpW@ctZ_)I6Jg8v8wa||eq#du_BZu`#NKd0^+#Alp))dSsFm4V?s7YxGSx%N^R1vvG z^g&pBg1IrrWU9M_el;#KkKdog;Xb^PM~7j*VQntTkus${U=HY1%FC*lBRsWrc(gMz z+W?bOif84GtlzOTW=}k4ZUKyAXM4Gk)*bQm<%;Tp0W7s%{Cqncyb3ZNXYmw$HlCNE zsmd!kWO{5`iYcb{BAx9)bl~Q3q(Z-2FchrE-_LRUsBEc{a3fyL^yi{GOz+gN=zvYK z-7$1}Ix*Gz>`)|aetsu4y4F!Hop9(W%JguIg-@$fDjTbzn8uFX!F0Er|6Xp(~ z$QzX5G%H9&Z+Z%Q?099{Mr^$hPgxAf;&E-Tj%Db)*BQ{aanYQ8s@*C5u)Vf1=Bwi4 z<>8P`?UZls>P)l~D%sUIc%4iTR`jEDrr@?uzdV~*|ho&e-wxIwuG zpPsA6)?1(7DJ58m*t`xgr7LFuFL7Y%l5D>#g;Nq-2&+MZtu-Q zku2U1D|hhwn;51YF5OzvH{A5Gn@ z{un8T}Bt^Y-|=~ zcIN{a^kf81N9Ns0i>XfIvJLJ^^)6MKNi0?rN+asH{$4p~$gB8W>Pb34{7Wx*w~*r4 z8wj&ZY}~!%p%(#IYmHL)o6$lKW7|*FO7tGGr zb{s_&5#hhLztZxTbROd=C=xZ$&;s5Zhm{EhxtKF<3KqNflp?+BF)j9i7C9Ok9adaQ zUU3>#N)$nky7`{)PD@LH#>8$bOJ|se&wnNC*jR;TSA)E~z(2}Yjmm?R z2yHb&Qp3FK(csW^m5ql~e7Mc{eF0ZoJ;QePutkA@_A3dCPk;W^)K*;>CEP|6y_F?hh}i<;g0+9=Fe?G z%TI`;aC6b0#hR-hu+{^7pT3hSdPX5W2fd|5y+8RdCzW;aZU{0Hq(JusUBZ4&LzD)nMw_p zHv`saYIP|*@P}J3fSS-m7$9%_2Y~FrMcPGPSLUMm|Cadk$)@d^k@05%PvqZyg*Nwo z=;vI#MAoA?S- zkiRBmtr-Q_=%o|T|BS-s)%E=2LleHMgcx7W4YFfP`9Uox!15Cr00wOB+ylX2TtH4J zu*-&O8*?k9W2M1186viU%!DVVmyU2`>Fb0q=~WEJqC<*hJ-rjI?kAFE8e0#48jt@j z!70=J2mUiflPBHV5tj9pzQX7{{uqp_G$*6eaHmdlx@{`pCm_O}i`i*}J&uC15Sa{84SOK@}A{odo_lzU?s2(Dfv z4G9v+{1g9a{;c7pYkCi{*YmYIN6MAF7lhYkx=^c--^@R7yn4M@AE2VJ-5k_hm&7pp z(z>T(VZitKS^JBs^}$s#tfGmd^$STqAx?nK=kSc_D1!nZH0~`5{=dXw*Ni(bPBKjL zCB?sX*3u>eaWa(MV#e3x*1|WCumUq9fKYk#96Cm5@{5}(N0^%JI(JUr7R~Ry@jCl3 zdUV8LN7E3WQsSRA3x^1qZ0jTzML_z~yJ4MGj_Ru({t5qSug5oUL$heS)kmdIYe$*B zMJgz);a09V_r+B6T<9n#oFAD>GGwmohAl+u?@|12$aU4aL>{Z_e>mQDe0b#&@W1M3 zz6h%%Hag`%jk^NuzSEgP?&f>F`Ic)b;oPD55Au|oKNM$dBSxe+^ly%(4<>Zv&=zWK zjrW?ig54h@rQVslE&lKH{h9I%gi=%L=Wq<6@Kx(@QVgb0JZ)nPy|p`a{_omX1@!=f z+1-WXscgno}|%9lm>KI^&9Hm?r7ums;~b^{ceo?I$AsMvK-5;jkFSgx*N%e z|0a%^Qb7ag@IDmcqJMX5hWt2BCWxCh2DSWR7A0@Y1+S1%TM1k@t+$L5;LigH3=0Ar zM>?k8SSd5~EdLkxL!f}o>E&Zs^5=Pl(hs(s7VIH;kMDSvo#5{gPQSHS|Hc?|EQ9`I zTS61=VzXWCJIO-NSysezet0TP)ZI%aihh58emySsG{br@xVx)nN~I~g_}Ama_$EgQ z>sB@a5DQk=CFr^ceuT?SI30c?Gq8{H)z2h^kUv+{IX-jPdHeSSD-??>Nct<~@xsEy z1>;8$`#Z9ARP6=#zc3W@Ym57EN;*Hn)9-*Q0;75DlA$!$Lg9F$i<%U`8D%{>1P3>0 zw*rPKq{}thy|o(oCx?B0K{Jblw%#geN?u>SvnFz4T>h@tU$o8pYKt(0=Z4LS&>&fx}Xqi^h; zNHf)NRj!8J-;#m5-Cq`l`;!Ac&Rr=C6u^^@K0$$kQ)?FS&XCnm0YEt`(?G?w)~=&I z@5X(2%P`i!=cg{{fxfQeO-v2?kIzJq-zpnOP`xmKlAE)X*V*q`SzEeS zmd`&fgz5=%QACw2czDc~a8$#saA_8D3QSb*7o2|aQdU2_RMHjC^|AI+eOY(?;pH{5 zHLbg>*l|YogOT{LBdzFSEeAL%5Z(HU=kxkxgzUFyy5b%YUUMtKVuDyM(7Ks z43sRI8IPBzD_Ye`&Oxu^@l+zVn429k3#>i$lu@P^!Tt&Jf{GO#EM%-v%^?ooN&Xdh za{Y_Ap3Lc6#;w@5off8wZ_*;?EJ1R-R=|IttkT6Gf$q2$8I7PbE@bs#xJ>fD5LloM zbwDZnUw06L|Ag*$G-7OP{3x-cTewDqjXIQCIka2rxpi(7(O#{({z@N2cO2nyPu|k} zV=hooS79_HhUeiZhW0ehLzr|gLS!B691aDO6}lw6lqZX{^iS<(g`*(vE<9C&A>)CRCE zStO8r`68HkGGy>_fAQUA;tPupx>=YlbHYUBC*$MZMu8%{Z>pTMf@IVQa9}H3U4Iim zmN3t|0}M$H8Ac%Ij7_B(I+oL)9!~Zt>fx6)g31V2@rXj3zaso1 z7c0y{Eu_{6Sx*T0P@Pym8j+oJu>A1N-9cV|`+P6M3s;&erWPiw|mgQ`%&~G5V-a4ZaT2mGp-x^h1+fms3$)fo+R`)Gx;kmrX zWu_PKyu>NHZ})ttM6=U*3S%xFTl~xZq^*&QbycniG+-GV;;!!jy}y-*U4PS%9N z4_kRoTxWy{nJgH4B}Mul`VC*46W=t5UtWqzhgiHVk&!307~&*x10mgBw~875jVvQ! zvZDOE1Shs$LDI5JJUafhBl4w|V^+MfxtvnPH1-ncP+i#fBkz@nbSgO~RoVw&%tYR@ zgTwdu6XU=a@8IP?EV@t&y%Wc=ie5OCphwO z+s5i|rdu&F%F38zfmEI6EunMjE-{!?5sT-T5es8VP5>u~xnYdkz)5HY5M%(>lEXDt zFU-Y0&%Ncc3HX@ECH+P2?H|_G!m(Mpxer$Bxbu%?=4Yu?swZoeL!Z>&{#Z^UQ$Bff zS$X1HMG0~M~-_<_Ai1FdmuW}*u!_X)|OC9`4+Dd13tJjsIKx6n0;~>aB0|!-QLi3CV{tx#%`ZY*%#B6j zEGC{7AORuey5gEFS-#NbPc>9+{18~2)W`zk7IAL|Pj|I3*(mcty1*Y!uV}! z%LHAgXyQ0X^g|@3vD|`H`i%ngrC7#joYuL$Dgxk=6FEuwW#+F^WprAJ} zV)px$3EvNra!<4B>qDc7kcH_Tk6%yOUvxEL&kf_gym`!(b9y=x3|Y6$miq>#9`IQI z@T0?gMPJMCnPqdyZ_8kEBm~Y$B~Eo47h^pu`DPfJO!XQl8TEAx02K;@fmoUx`VG@rE6s63VogPY@+Z z7|TRf`Q^lBE?pm2BbT$YB4h=!cD7~2By4T(e+BxCBjwrEZ153eMRX+n_R%`v(^oIt zE0AP_QRRKwgaFT1=}&1&FW``!30L*mM`cLVe^aEl!@#(YiFMiKLakPbiQhfkd!w$p zCk}t0;Mex)T+~7z0i#d!^u0x~pl-%@bX2}+3lDS0uEM&2Z%QK9G9o@Zdew19;2A#0JMtEuVbWsbP7@E{4pcF%)#^F}*J`-1Yc-3`NcaO} zI4@AEHDM1u!J!#H_7Fh-HQlEmvo?j2c9F+j4T=R|*7SG(>(0${l3WZ zYVV`h`euZHtWPf>(B-!{E0}0zZpV9bYI6ISSQ_kq_K{{?q$L^dj**!(V0xVW0Y2B8 zcpS9FZApSTUPEQekHoRKS&XRWa9yc>g% zwnWlX?*elVTY>*e7$^4C0qjJ*b$Yq}N;n8C0vG+L!Q*qht()FMo|n|KHRJj0S2aAX zS_#5cevs4=H=F=}TLN`UQ!5xfk+4 zr5dCL>pXTd{N-S#DJ~@L=KI?sUb*8s)nkS)WQ%&)jgflT{6@vs4JU#mp-A#q$YvD- z>i04{J%Rr`t5f#h4WAL>J6+QBM44vY2`Dx|hU1nv{;?*qppHY^fl@HEu&780@NZzM zqfbBIGrh>cJpvOpshtr~YF9y`!=oD$TgF5*)SXMSZ(m*bo=&>vj}{!kXih@F>lKX{ zpLb3?i$)yRc8QS;`k#62XH@{NC(zQxC%tWK*F)25*qwy0rKctnz`&ss7>r-P3})=K zpB(Td~o)6Gb9xrM8*@^WCb*ovaI<^rWM zY+jf%*q6HWr?lzUug?{kVlRsXKE)~h?=OY-*FwcP<7!5v^q=m`LL@t6`nj9Vi}C31s@t2_ z+m=oSVy!Q`{nq(V#m#ZoZz^~U*(4{g-b*w!jVA~SIcdX^Ot9}?+uuVnY)wKT@59NU zFB-g>qb{cQq{)@BQp~et@;{;Gepn3b;rgsP4Yf{J2|v8}n_c$+oO!!0v|{!47e86( zck@nYJMGWUo`e_Dtr5`LbcX@-@a}>%3oo$Q*FUaN5|>-X8R+U zBCTDZNGrSG5XAYyNuf#8_JTXG;e4hd@SONeP1MpYyA!W9K5l5*jeAj$l{evu4ffW1 z?V$6=Fx6M(=56aEZpapN=d%5jxZE~*eE~-*{3RfzY53lbXd>A=|3wgS+(zeb%e^3K z*Q^c!Z1SvJCn*}^LG|jGl(VzeOx6~3UYrT;F|1gYq-kCmP?nzvQB9H6-%HGyTs*=c_P$dVHOekNU&ngTnfhDoeGKdFNXV z48W&Hi;0K9aOhB@g_`tAejr=GvL?}`ndJO5zOWP?K0M9anh=t7)3|L(H>{#r9ewPpdiz0*c-`g?aq)+Fp;@7ZAJFZ>&#lpCeILYk zF;fiLp-gnit8*mV5|c4dFp>aR{?u8Efi6{jA7S9f1X9))%^ZlU#K19+kGY+7Aj`Pn zK~61@7KUy?==wCS4!Wx+to_^Y``lk=|74{V_*rIpK}9bXEn zC0mhG_YA*S6AFFNC@MqoKR+bfzt7x-;ElX>9_W@e=lzrh9C+*jywkyis1m(80TLqP zz9eM_x%JEmh+^rhQ-9a)AB(lrc69c%$~n;L-GATH*~h&Wihc2py+p@&S>lg?Uy1By zcK82?95>rEz1qyEuCi(xPP~DZZFu)T&On)_w6UC+L8g7Y{fkRW_Vj| zM0j?q`FLWKpRI?#<=lFA>7+T>+Cq8chNxT*%vzH!N@uVP%x7z^7J8)&BM;c;L=hEy zxWGZbnMQo&dvl&iQ&6|Sfl#-wh9Xg&0s`jMx5!B+=F_PAlq| zx;i&b3X%DpzrX(t=JD~%7@l3vTKG3>u1GrfrD^94ceQAetTqn%-`MVw(Mv0QY51Z4 zZK*6#RBlV@De&J7Na)4m`u?4Jcz5EQB+Rq?|JwT!cqqH~Z)^6Qh)BsEr9=`@mJ~(G zQnZQ^ky4S$zVG{3$G-3DSjG%v41+QDU5ZpfiiqSr_t5iH&-z>5|NDPGpXbVqd(Lv5 z@41$9uCth!w0JmAzA)!=Wlp1}qV72m7Uyx3A@JH_ie;Fh7kSv~Qz6>LCy#i0PRHav zB??e%AG0&+W2=ex`{*oA_Fk_jtS%xvC7$V|>tiXTuPZ;bnbBaZh2~2kqaB#nE)TaS zzO7MAVNKx@>Y21xltmaxL-R{9^rGjG55gSs*pLAgl0=8r2i8ko>f5aX zPqT4Vu*S#pwMt)$mp!4;1`{jqdHk@=U+tp?hhvz8jEj&ByA89!g;p=+N7s*ev&P+Y zlfKa}IkC2;NU6hnctW-6Id*+O&w05;D|1)k(Q+I9Iq(;{MbQUU%Le#0E%Y=J;e-f; zwcs4mg8TBd%Q@OJLYKtWmgSd)3VRUP(2F_o_&c^8mma?;NpdctLpD@;?m1~fP4Pi{ z-^;{+JBOAoHtJGZxI;qPrO)o{*K^b-VY& zjgEU-AE>xq2=cILOJ7~uBlj|x#qLu{{2BSyh1_#YAFNQixVgfEE_9J*HtDv=FV|Kc z`oj3cA_BzEE=5fEHDx;54Y~MA6(-(4?K@$cBN&ue%1^eWXg8|()WBY-$=*jf^!#FW zhx7DJ6zp`=^8>K=rfNNsTO0)~ZuWL;%X#QTpKJ9frK+GU(=?t^=GrBD=S<(XvO;1l zH1U23OVJivEZ(}7?srvw?s4Xpn56ZE)g^VSYL6y@-h_*{z11yduk8IdY?-{V4Z$CU zjri7<6k;_3x;!e*$qU60>eRwwEAcYKfL%N}(K$nG_Sg2%=SkSC$sH|Rd|_O;lFc-o zb1d)uJmTe^>};5C`pVpM=b$~|GKWtn3W&6b?XAx~-`6Z-pUE{xIdvUoDSHskrJH$H zV?7jY+b6`Ltw(G5L^UCfsYGnTS%uMfyGATeXOVRFE5$LDENQ3eCRt+(IkH%MLbF}F z@$9RpaPJyrZU-i~dv`(&cIAl205erW`}V zDQ1#r0pgwzj)jcmJ&c6~Zk`^)6fSFl*E-oGI zJeehON$9b<{zB*m(!Yhc=rIhJZOe@lyJShhxWr^ z5fi}ToGp#Pk9I9m6)7PKuDoTFI|sL$`Ak^8!oaF$?;(EtoWiMk zUnY<86^&cqVsMJ@%84eY*S&Q?^+J!E$x{wnkCQZlo^FnPgN8O#^%nY9iWX|FOjv5tUYmP}CVE(Ng*nQv z$~ui%ChK(?co43Z#}K~`86|I%7E0Pzx(_)$IJdSc>&83k=yTW})6?$epI~ymPvz^p zGsA3mVxkF$kXQnYBj9VwqrDu(OIh{71_6>Pl_KXUf>@i=JSpPxSqEqe7Vb4is7%O_ zo3HAK!gUD~i1|z{@3M)L$BX#e?P4d_LVahWjpY;tb}!4-6u=cJB=Doy0=Y!%@{(?q zHBKip>{lfd*xAITAcEdLwR^@6ozM2A1Z&MLo2+Q;OS5;INmMo^FQ)E~&X*ISvg{-e z6^|WG(6F|ln$}xYbJYb4_mzE#>63hMt1=~4lQbsJn0HHg7^fpVf)6m|2%426I7HxxV}6(&fzq^6mP}6pBt7Bpk7rO?O>RnE~ zv-}#|OeA2+Mv3Mg+uI;1F6PUeZz+QGcuRE74RzWtKf@I3qwCE0U%Tq$a#CyX$d_f+ zS5v%=;MWO_#7JsAp$Xs-(q5UKx4Uf2r5quI=Mw8qpIQl$(@N;Sz&g}3J{jyfElq~5 zX(#p{zv3b7eC-{-nK?FL$h7ztLtnEK+#~%N>jj6NU{RT#d-j% zN`w~qk6%-olE`9;!^s-sF}jWW@;Oql z43Xrc^W+86_Hvew?%4{`J5kt6?-WrpJySW^^VQQ;tDVQu{)IfVLk=y%GJkSkj;}|W zc@e9ua<_;wo?jbl_E5;_-hdEsyj{%U$(Yi-&$5=kRdY!qp}@=sO)EMyuEWf69A6`H zj`uKoR(j3M^6dDM^Xv-svlJBusUaNG06Y=TVOdzlH{9<_17~>BPmi-A^yT*WaVxdIm-h?X#~z_yjA6rPqVGpH(=1LLqB*hgz+Y`S|pb%8bFS#H?(_#Ry!stP6)7M^hrd5={DVup|jx=HwFDZtmQZwm$L< z97D%dl64k+<(ZKmRLhtr60O~)Xyor1dS6RBY!0U{LDQ<%@o9__9c^-zB@!mIY1;c2 zcaE7XxoIy<(3~j{S&;XsoR~DE-Dj`Nn`3V|;3T8w>F-!%)sF28TPZ@Wm?~gGWuC1G ztjN0M5Nw9DrG@N0m+eHS*Wwl*)*C+Hcdni=XBL=|Rd_72^~I1ve!3 zt5HTfy$*#r-5YJE&=yyEM(6$o>0RxzrT@d%roPa#CK4+(FVaRDnaVzv`DwY4TM*f& zRI~&I?;USV=uDHLi?B z&%23e>+*^F({!u8=S4cScZ=?9)TP#_Q)6&s%0UWVKhimUp`XvkP4LB3{&h7p&cFC% z;|KB}_ys}h{#Kq$HnOtrl`H(Qx%wPR_f0ar;zyOQ^fFXdy}aETap>J;fj88-I}NBA zH8a#Zge})CFy;PRacI$8;n7(=ucs+ChEFKO9mdr8jCT4;OiFmiD>^qwIbGwE==i z^VLf=2J8As%!Nvtbyp2GGtcpJ7no~`$8!zy-%&~D`(rsncgmREeXpo{|z=7fZj!*q3fSq?m8Dw(~}Cy&8ph@&S4@&ZLvu|DoC&(-e>R zmAXvd)6XO|gM3yjY3BD`!4@Cr{t!`Vjkvnbnte;GCfDIQADQ*_JYO7*yl0%LLT)+k zxZ8AQ`XsHUn6*t%F#XB8bi`Gqb!5`mlAp9?p$65!XCH4GdyxY^u?~+S#Ps`wJj0_s zXtQ~3?}^;>44NM4E2NuK-~JUJ(=EN*foLGRWYjWDF2pTNPOwo?U{5JIH|?*zYOO1F zi#$Cv)8O7M3f~6y`^tJLo|(tVyS45u!_!7>iu@vkj=b&LO;WI#&FUwb z+r{SG61NCNrKBCG3`E*doS|xDy?jN!nCl(C^&B-tr@V~0)$(2VVM|$|R^ax#d0)sq zjP+dt*ONqp)!ZUkWsuRL-m8|GQ&M$3e9h#py2C@O`qLKZ16Qa;Pc}zov21_h++Zpwtm_Ms>x){V7DH=RtwRo7@)BzFU!q=JGx=1na!VuvLuh|4-Z*e#(W8L7DCFIV zuc|8<9xl=i`es{9Yl1;o^x3$L>(XlU8zDCsrZ@?hy+SXpy~weAx+?7D)k zOq|;@RUSutLZLw&Er+nT=DJW*prLhDwcW{3U+}%fSlha7ANU42Ys#)YMAK8-?!2?7 zgP-8uWl2F3(aHAoBDsCr`jlJ_#gc_~2|7Nw_Vih-w~b8PvufSL#dRLkvRv|uw5BSK z$5lKFBndOxUdKBbV&f`prFGJ1rPJ-HuZ}%)wz)nUCfCd*@WP9i{}oR=-hoBzYFXLp z@~yd^l@t|Ehh+v$l`)J|BP~tW_;J?&p#dHVYN;Xom*qDax%_X@oCJQ{3h=uXAatd`W z_pZz*906-H0_DQU9xmmQJ5I?FzR?7g4-=B;;QR%%X;)g8zQqxT`W$%!deh_B)j{_! z=Q7tHZ2h#=Ls=8Hv%4hFYzO>#m$Bm>b3MkD{iAFQ!&r>iqJnbP!^{god~6Q%v!d1# z>-(w^!{(=T4{=Hxns6v4?0Sajh8wZJ=J{9>_qHqk4F9{{{>~INe>?OQB@uy_#@<^g zvgWYzCsuF5g16WYD0&SFS>=A%do!;4J*$uq&lh6!iKz#(CP>Z;NfTmsN+^sl2P;p# zj=m_gK8#NHyQ8&z#9O9L%Df;)ByaB;A)Ffq{4Y@w#2 zq@W-NL_tAGMZJZFmY#u;nT3^|gL5l4&o*8@2oVGb!UF-?AixIVBOt&J`UQFhy=@ZI zOA>*q0y}o@+AX|+1%TKsv{6X_qD=(>!SM0&a8s-;&b@v)I@I6O-PP6I-P6}UI6U@Z z^7Xs-3!m4>DXD4c8ClraH!+dqL~5CDL#7*2-MW>Fi<1K)PEIZW9s&RmZs+CM%E`{g z$_nap^YRPs+6|xx?G)hS=454NWT2=2)?-kOlaqrTB+^k==B36*M@7Nn5|dI=(^6B@ z(lc`kN~=)V*3SNs7q4eNEPWxP0P>;*-;Bt>$i&RT!pg?M$;Ab!l?%WC2q1zOZW2fV z5+w-~ba@*$7Y92#2NwiLXt(h0T|4-AAdqZO66hb_wyhj247Ah~Uzg@y4R>G^wtjv6 zj+{eOLG$!!t)mAeg@q**v~M^E#b=e)Hnw#Sy?8UXu(a}JZJmsqf|8Poii(vDnXJTT8kV9es zs7NjYgh5ZaI{$9^{W3WXGbgXWPCI!-7WMDG2<)%eU_rmw{})d|sG+`}*zN!t&?krR9~cKvWa}6%!Bw3llvJHINz= zBs*&06Xai4SHD6UCb<@s6Azb*8PjP%sxpFh5z|G4<+(<1cxIQ!<+dn@13}K6@y}d z(>E;53^fmm3CoVKn@@^SM)ekPNf9NR+Fy!q|_PI{WPNsfL^jUiTO_<*T=QbXGv4cmHl++CFxOn-8 z#AR31Hxv3_ym|X_pnG8I;uo_w8-ho9wTUSjR* zkFCxe}li3?VaZhnzT=@~hQwt)d+OG_I8-%x|ZV3DOo zl_*RT@%fwA5AmE$^mi~=Czk^zAhpR7*Cgy398@q4fJ^A z zqXK-uKAMFZOa7kVzIXdY6C;JL!0m>Jdh)_DK0X?R6qUu3j*rbRUcK|+iK|y&bV^oE zVNFvD7F|`8m6@I7wx3`t*fiT9Bo)D|f8Wl^B@WS06ma{Vg{#BihUa4bqe7W8Ogp4x z70=vu_V9~@!{ZWjit}}eUM+aW+ZfF5Srcm9#-%}a~?yTBYNp>Ae-$KER}A|f_5JvlKp%-1K- z-%j?8C&S&Xi+qpp3ZaK>WQWlQq(iIfArWrBpx0Y zpO&2(2a5;_Ps@bC%5ix<0lA2R+zLc~K4xsJ%55KId+4p8{J>?Ixf`=>w5u}=LZZ7x zC3XoP(N;Tp#>CV)z2J;j0plKdNglpKXLQuhnA<;g^KyIS=<0I+mbLx8OH!RXnFkf^ z-JM+mQ))VTI@;SCG6H>)qCB-|Tb}dqItIywbWw5b(Yko;wu760L}YMq6g;~y4VK&8 z4R;7FO!5pX%n65;ROO_W6S~V?#pfF$E~$tNI-5&g3Ce&qa;xdNEPIOiG_5}K7CWFMFk z;TDvf7!J!SOnM~Hl9%eOyKB;Yn+a9U82R2?&W~LJqhN{YY4MSP-huIXWtF&@mD+v1 z0!2fq7ee|!ZV^}HU!ay$*drt?%>6c6iM~-jV*F_*EhjrGD>DlR2zwalIJnml4yrHoI86)Q&m-ZMA`VT`u_bIx@XU696Bn}8kO#KQOLCW?wHu{N&hB^ zPwwtq#@ut)&7{>I8I#B4V4@D>y)M5Pel^pfh9YHjWaQHpI`*C7(uWikj;bG5)6`T` zQBhMdbQ-Z;<8b6`MpMy2#7f0t0|jU-iAdRTN> zahRLaC9d%E3XvI6LVjVf=z*H}zU>midt~K~Xz3eVxO&~}mZhb&g^97rl>WYJ*%s!eoTa(df<48Ma#_l$(L{X%8SN$Pu#fc_{_z_$Im}7C^$IK*UQtz$?2Z0 z?e$C7HMg^Hh#Od5x$)T5(Za&s*~M_1(0K#iyZxzC>#Ieg1=<*fgu-YykMK~B8}sf& zE-wGa$x}4kf?8v6R@E?&HBX?xG%iPKY8H&-_|7iX8Jj~yJH9@*JiTUp;Wzkcbw zuAbKMQ%7hg=~(Et3GEQx#U*a!;O^z+>Fpa35*ijB5f&N}=|WfZF}z!@CSJzAplEcG%O}IDm*MCz}MT|#o6J(V-xAaSAE?b9iG_R+FSUGc!FI z9v>4O6&B><272w}>=)^C!{l*jY)nE@Vtit1MjEt?NlOPm=_zn{JS-|AI4H=^$KS_0 zC?vR`ASom`)cd}RuX_M2G`T3!CprdRTm%+9MI|NWm8HeSC79OA{0vxVXkt=WR2(cR zEj=S63jir7E-gn?RaI5jRMk{fRFszjTmW5Oc6N4VMhZL;79Q;D?dk6A9~he*VRjQ% zkddC1k&~O7pP!!xz~|-V=788K1x&E8sPNF>5bzcqn+o{lXBA}u5YdT6S&8|1;qdCR z;>wb|%&byOJ09Ob#5Z9v&6v`hjLfXe{Ngf1Wo3CegrcSvg=xezVjJtx=(^hKDv(iG zRtjQ*LLjT$%(SHVI9PaCXjp7Qa#3O6S-XPT((;P(veJ^=yyBAL67W!5ke{2Co(hkT zkBN$i&CE#4$}DNaHP=)&ws*Cb=T9*=Kn#^G?-#>NH!s-_xbSCp1jR+N_%0zst%on&R^mXuZ1 zqoQ3h%d$$UP^emDSqVUns0R2eN{fneGtyGv2?;SNsD|n~H2&52SbyKh#QTZbVhnDe zJFB89A||`EvaqG+wrY!?d|P^c0yZA zOAD?EK*9h}b+yP^BnnwuQ;jIEtN@~{uB}7WH#QInRW-#K8EMECWPJk$h!lm!)YsP3 z0!aBe*%=@%%IzHO?CyUtJv04sVs?3P3{%(E($N&2+*ndnURhPufU0k9>+7foV6cr1 z_|Co;Ls(=(b34AdqqDoGyQhmtBoI40yE;2NI|zjKRv@QlTvKC1J-PwFYN&4jZw>Vr zOk*Rixw#!gy)A969jI(ndlL>>jjRKpKvsP{y0*Hqq^KxAFRQ3)V(jJA>+Y_e-tqTj zOFfNPLK`~MA-JZzxV#o!Ti?{u+Dho|>j3REH#N2PjrO-CbA)awQN z570IQn9|!?@ofMruBizNBn7<#H8x?J0LT_#g#?h-jPE8O5p@It5@;ONfX885z~ZPL zRac9sC@(KAZSElsOpRk2n?culhq0x_sJ5nTXMY3;nj4y%ad<*!H&|HoKpMg0yFg^$ zglTDQCgST_`+E9&d;7Y3`}+EOdi(o&y1Tm|83FyZw%`D}<|Yil0sa9!Hnred@VMqy z5QH>g@y$Se>3O|_xT*@!Ml-&piPQlgRCIkCv91OfKvzdoNqRvYswA%n1n~K#o&5w* zs;#2~=z~b?>}Ulbnpy~LIBY!*SAl5jY$Nvd5A_cW4Gx068Gxp@x2FfFjo8r+goFpi z1R5gA27_t9;()Ax#&AGfE$uC>_!dHeds0_(abZPuB?|ZhkRm9GYr+AI5*zFA?LgXH zwb_L==$gvBgxp%}$ny?dGYF{&#GdX>BIr4hKxoB-9%Gy88Y(ktI=Xv$2m6Oc`uhfl zhldA-hWh&ZdwaT|Vvu+sERfa!3=Cu=7+^x+0r(=6jBCKvCdOAZAqp$d4aMa+$UA|A z0B<0wmiG2GVh6E<(9@7xSW{btNRLX6DV}#0qnFBbQ|cQgV5U61|mKjwl=Q_ zXabl_TNhYx4)+g^jtmVB4D>+~>Ldc#EzLkISkMNx5eJk|heo4-T?5;0XlTUZ8XB7# zu!%tkR84Iix)NDkQQwGfYi+>-M8HOyTY&gLOTa#wN(#VeRuLNMQH>Z>O=S%N3|1|qK43`>2_QE# zwsdqgUw?1^$k_OBUsGXi z@9@wdz%o1p)Hc-L53C5P*4Ekz88w(?8X>V@P-x&jC^QPF4O?9sYmw1Vg2Xl=YY=5s zm57S68ZcplaSN!mz8(zn2t+-uttAHr=H%Fj@R-sL;N)GM?X9f<4R~(@+}j`mfWW8& zn(XNv9_||+eLmjT(F1&JXlM-B(#YuWz#uSeVEzCS7#|=Jfhh$GY#D_@*3{M3)z%=Z zQ5990dd`@p+N$c>stQDPSy53L8qzKXjjpW)C2A1mrHJZ!R9p}=A4ep_XP}7P_@=h@ zRv>w(o4^l&<%0o@*x3Vyo8jTH@sY89JYlexI55;VI4}qh4GxbCj|>hC^g?z7hV2ee zx48uv5ae0)VDbQSZFyyRSyd^rs-(hWpCPOPQ(940Qe9n;on3~5=IaJ9AtRs(t+J%B zD6bNmlUR_Qnx2-LoLk>bK-9EDqdNctEDZ8sVEXtr$m6>Eho3+1CAK!=21Z)j2KoU3 zIQ>K5)icoF*9WGNP9hL#OA8p}Kr3L<0dNptjx8-IDK0H4Ezd2@G9980#vm)I%Zu|f zv$IM;SzKcSvbw4Q%=o2ch53b9x$Pabn8upow6wDN_TIXTn$9*zIAG8L_6W2J%n^$P zzDOYU4v&xb61oPuJ9`@II(mp;Dg(~m2aVCa&@c_W0azQ!J{vG#&aA7e26H9?gco@r z2r0}dEX>T$a$#rnEvsoje8nVbJJ6kZDlAhySKFyz{mhb=PocX zfN`O{4X7831GWsQ3e>KxsVc83Eh)+_$jQo2%gOHt@`FYtHNhxX3ML-|~Y*h)erLmPzn2Bq{fFg}(6c{8cD$0tBiwg4d3yRAtiOZzJ zgtgg)uVin~Wp#iP7MSp+LW5zg4&8u(=5c5Y0X5N($&$kS?2N1wcxogp5terAxeKuYQ3g*a22(t?0Sn9w1WcvHIhmQsaj>Y! z@UXbj{`p>5Kv7*~bu|J+c{SD5)s;Xp08CaI2qwX@N{?c^b3uOP0h*zE0r{8Q5PE%4TD8TMS#U)P=Jq@yUVjj z_w4K*Ja+R70xKm?55K6?QVc3BIyDQP0G2B;v2XwYu#1b1j0g{pjEIZ~3kwSk2ai#a zAPFoF!ICrttX~5HJzf3X?#GlB7Usmp!eiqTz;iW#l@u`ce%d@9Wj~yP|zjxQ# z{ECV3xzndko;-Et{Dn(buHLY?W$WPV>gnt6@9XX58yMj2<>T+~BQ^(z-IT)b#va?#|Xk%7T^ z@U;g&_AQ2b)1tK z9MUkbZRG@qF594^J9ZX2YWl6arS|R-6_wm0E+Q%>Dzt+S9H4^3O>iQzW0$aqg!JA6 ziYltdPwJjMYiMe8Lfy#H((L+`3kK))&z(D~t8-FILrq=%_%U@2wPQyW6+u@HD=RB0 zA5~FNJgBTC`R1d_ZNsC-bPO*W>zq_qkd-^IS7yJol%&Y6ojZ76KOY|M?*LI^YkOz! zP=5!AyznjH++y~_yBFiHXBXBe!AURq=MQu5KYjVS4i2_x=opy6(I4MVVNo%u19FEB zD;_znqoa0A>y*YZ)uT$vD$0iy4$1D@w@+GXkA#?nq&ReDD!6kO*j5Dx(qb}V^U=+c zr{qMXW%kM`NbLltaZC&};Fyp6>*s};*Kg7jBSJ%h1AN_GfFiv@V`C#jf+M1%qTyMY z@c4w3tb*c_3TOgDfN7(&0^LIB8GZe34xEUQQPME5^X?QDm)Z;3mfRzAV84uvl(?9< zsL;-xJHTNVH#i^N#?8sb%*+DLG}+kMSeTg^7}@EY18ceVY-eU;Wn^KeS$O-h3x{hc z&o3;k|NN zHu?F5#w4cZBao=3PO#>A{_5Sw6*6iD&=xqH1xKaOQ5y?06C*w7FW7Ab=Y(sYK79NH z=HHo_ndzxF??2AWtW%6vM4tXwt^c@$o(DH=`qcRZ)I% zMX2_di{QJ>*m!sC77`W{71+uvad4lA;7%bC2`T9VM^uk%odc$K+sQK^EGimoZN}v2V=vz>tgWwoULm8Tq9psWJU21e-GRro5I}g}24Zj!VeD9uJT#VFTqOTk=a1HSFk4nuhsP0{&Tp0j=*VQug zYMzXmVj9{`sKLGgb3fZ)s=Lk_tcHmtX5tRx0rol%jX55U zfIU8`&T^(%FE|dHTAUH4VG=pOqHRmh5{kvq^2_O++?uduaW`@C?4HKi!43-XLkCa# z){MRE#x)`$)F{}m$0P7l45CL)oYB`+J1D-3m+|v+A~MzQsjH{kQ?Iy+*74;n3^Wwf z>>_f94~XrSQdCos6&Dg|PJ1%?`Ry$*fj5r`aB6p&PMZB>y{a6x{= z&4atdWkjf}e0}p;TT*S*E(Ye5Bs=XDQorpL65``<-Pp`ErmTHpg-J}$HLjpMC-?$K zLwpsb>@^p^ps=V|cv50aSfHPekB@(7d}d)$cAVcMGo#b0dzc4f&T_o&?;iro)S@u zSiAd%MurD_J6bR(RAVc#v$;I>{{9c~r+KK>*Ooti_)Nvf%0jcyk1o#5$;p7nL?z^* zx}LvYpxLG45|@`7ZM}!{Sp0&B`st%PK32rU7BsZfCV>BZ!asK51gwv7kM?bkC9*Ay ztQ^oa4;m^8axxNqU0s-d-i<>eQCLF%*yNjc?>{cBtOEM-72Lp~rX>6P;oaNmxsM-b zMjBI}%D(bo$Ka{NlvVcgQoQKweMQD5cH({%Vw9Y98~-*I@|U>EO8gwFgsPr_p2lIB zy$6-mHI7JdkVn7Z&tIRb@v#J(;4$+j&NjMI ztdtCU%;N~u!s=$ve1b!Qd|Yg=8XI4`2d+H8;jux^mz9NBsVQmL_$3b=*U~yBD@Z># zG)cGrb|j*Io(v4AOY3W2$*5?-O%w1PQWBDT_DG70?iSp>jcfCI3LA9C2wbXRWdQ^x zhK<`S;JVJ2kFN*ul_~y~N}Lmg{&qL-x`!qg*0%J$TB2s-7eA9>$CPmi?M=EnNio{`zQ z)>oAVLgT1}%o1dC=iu|n*Ken1=aHjXO@6gl%0+_z1pU{ErC5ZlO zhLR7ZwEZ-Ov}PN_zfR=nqhR&w?b08WI*jwf}-ef8V2j z1=L1IHlUGse5;JABiReGPH96nkaRZaui2Bh{Hx;miS19-A%oe}(x!BjAvBN~|23XJ zD)CEyHhTts{ZY|h(>KZ@j~<0KVtycHr1GXk|23E2mH?eW)+zz#1io1ZHh$|iT;wl} z0FnY|_($Q8a2NB%R-O6Qpcd4`h_!;2=zlnMfFGe4&bKp!SUjsi+KauH#kav21a#L z>>Gu@jsGMtn_c(`jw+}@O8OO79Volmn?Dv5U(`MqEOlTGdi4_NH$S?O9urY&w$$593n|#BDK8nu=x%?LgxD&l;30h4cbv~g&Nd=yiOTedsL~e z_P0ve)TI9QhB47e^vW;^8Yr7KPdQJ zH;#ToRJUpKzti0Ra1tbAl_P%u{eKwCKh6Ckfqx|MA4}laf6U<@2LDLl9|`;;fqx|M z|GfnMiR}JLh5tPX9fJsJ?mwD=|7&168NtT zKmRs@A1eOo9?&oQOMmo0V)ZTazX9lv_N4v@z~4;&x1s%j=WjOl_lx~8EU4Yz;RB_8 zC-I+4KwIm-($Bg7!sj3K`Y+V`vFML*z;@*?3837!=YN~~->CRA0Maq;2K}7%+s}W4 z|KBeHu?G!4P%V3uUEmT%a^k`mg6- zq#lq6>gjLLZ6=Vm?4bjPAL$z!=r@TisiANC;2RZ46*sr&H=cj^M5?uc@0SNsBi|+0 zK>e&pX{BHK|fckb${<~Q}z}kfJ{jcA){)Z{Q0{?bP;7?loVTOq(>DK4jNE8$}&8>5Iq%G1;5WMB@Got;mCS4O^_z0{4W?4?$g>tFa z?^iASqJ`MPXLwv`>0*cY)C}jA;)@3-W#Su?J1BY2QE|o*^ni2@tF^5Isk$@zzV>}n z17iaHs0(eMvTs}yMU!w@A-)|Vw~N`A`c@|rT=Uy&JzQ{!Q=`0iRp}HvE$`0ll_jo_ zA!4EyE*o~F$AuxEr#<0p_uJzkLQ9n5*B+F#sNLZR zAwK_%ZGV`hVOTmDZ!ggPPzB)m_hhr`$~v_0LJ`5O&(io|JdaPiRvw!7`l+*P!vMHa zWjBK19Gj`On;WtxTw4a6i%2)CfGuhtUZz9{qk?a2-gdUH?^Vd@WuZ2IXv~VDlgn!s z@G_+VQ81b73p|=Lm>McdUmkXWu;ecu8y^gnYdE@>?=L#r{Z1HrI18CFvS}= zp~!$RPqUYYf;lM^$;}Bz=x(v6W|sjc2HyTTZOSaDi2PAHZaUqL9^|13bpiGi(hg>y zQ+JYL37*H#ArXSMVGPM$6<`q%I##rzZmgEu&iHJx4y@iG z9^h82tzCn`{P0MVEhoNv#8w#hrjNO7ntiQtkuh623`$9Qm3WWqg6=_E3Vxj2&K%-~ z?_tGAhs3joQH#+>kuL7lu%JfenT$~D=t7~6cBI{iepskzJ?A)`bs zIxbn}38}jZQk`_!fYjwNUGN}-_ylc<5(Y&#;n}3u5^Sz#b05kF5ymj;rVMS%e&Z#t zZzEx$Mx)FL^E(831?7o7E^|o=--O)PbHVH^y!{*ht1k8N(37on;x*H?r>IV1V!0It zDKEB-M$fDtagc3sWv)rA5ZjNaqlqxy*KCtq+OlC`EC6I3m(<6M?>1 zlV|NsGO}=LaqHm(;=syk%-Z`w>964d#4m9 ziOS10q^X{ex}-)fXPx5xz71@FFiO$*kT{|1mR1kU?=<>?0Mq)VT_u&>)RS%%pYA>J zA#@^zNDGZ)wi@%q*8}SP1b60a;BZQ-<6i+m8#zn>AIMdzq=S1#an>-ULf*ro_-~KI z9bELPT3&1gI_eafM53@dU*fPYs%>H7qPT|XH2@*z;Z0s5^}z!!A*x1odpT^nPi2Ux zQP9)aklMsVrs{b(_pT6RcqVO$I5LLTr!4(VG?-vCFE%w%Em=X;vbQ^GDwx}X~`sW2>$$S zORgHM@kgKSddGeZ#7ZIQ^a$n0z&CG8{SU|sUvo%y?#T8!jU$EQGu~lzM=j`9^|9{A zt5B44$uZ_(f=OkAzIH_!M<@7iP}%_aT4U|m{h0{*gwL#xC_nYViCT%VUZ>)O?B$%_ zSUxH)JXrGrjpy9j!dB{-N)n7afZe81R%`B-as{2vjl<44o)Rth)+|(s|nfe zS$kbYuUpIi5T*0+5QHXfp1lV7g3RNUxuH(E1{bylnMC;7rc@SS=dfGfKE3iVnQPUB zn``{h-R@!q&d#e_lwrrYOlS*+A4|ii|)hKL-6f@&c%_5__>=H)EW{pKgn5_;rGaRbRxR&rMPYDw1B%rr|&l5Vl{ zcV$JJt~9m#O)Mmp<<=yWi1-JMMT=_c+*-EEJ8B+&1U0wEw3a%{JbZ6fozM<(F+<-= zLr#;D-|AYU>hY`eCkmOBwY9KRin(LD2OTxI5fDIM+vOtF9QjsIPyj71#%KGa{yOBC zQXrK4J4Xw7*;HF#z_))%7)MHP#pjWk zkN8)HjlWWOj$UoxjWvbenpWQ1RaxViIlsD4u%Ebud$Aq#j~vh9VB&SFMbvc|2&H=4 zJKaWCpj*A}Qk31( zeN`fpxc!auOITUfZfa^X{F6mVOW(Sam?x|HdR$4vYzqCwFsr{sIve3(&H0bp`UnjM z5!UKL!&{Z_vQ1@Bc$9BUnOcS0Oa($dQOBk++K+f1k$&!EfA?d#dNeG>$H*3yd@W1ZrK6g0DHEk}%7 ztd7eFb9s@)$?&q9%`J~k<@9K|WS`|_Fl@Q_34zb7f1o(-k%|zovdDKB-FX>x9%XrL zKL&C@T&YeVNy==eMQ)mVrt9o)Yxb8o>D_Mg{`=B&zsJtgkzZ$N)J+Vn_~;Q(NJTD0F)jo+_TOD|YJicuX2CJ+sY9T*c_CG{ zn|oEx5N=6QTo>8at^~*KZo~VXyp!$<2#31|`#c|F&=Lx&B{*I(6ScWL3RbEs)4~Xj zG<~BZ|AmrHg}-S$3xx@xb`)S(`^d+$u^AI&k(VIki^~sVu&9h~T7}}4PED6r3ksqrB7q((g#OcBr$^qq(S?H~{p=ag>}rMYh<%o7)0nV_ zSd@Hb9{o*7_=TT2qq&W!?phPVJ``&RHqxwjEn{i}(UDACnCUFIDLNDptrF=hMU$(A%A2ou+j? z`#a35yl=~e9{<*RcKl2#Hv;j4xeZwhDmF^Q%pw0{}F#7y!-MiCxU)5Oa)8X zayA!;z!w3!USq`6*8sF;wRNRk@shvzf$`{~xIN<;6ly}ml6ZeM@N+L%j`I|c3$Ca(cNcZkAeN?dOB+GE!oyAgW4?)G8ygb;!lL2 z1KY4WxDXDFrr5#4zDQFHJgJi^Z?}eS;jZ8R2uL6W{1Zu0m|9mF%z& zw)N`D#{50VLhHK3B;UD34P-VWrm`^~8dKVcA?e#5L9`E!j<5TCRUGc~Tm$}6(Q_>N zD8fV?@ND{=4j_zEblEl#O;jn^1hr1>Ew}mcV?Gf^|AiK-9NAr*Fs9mK4xY)`qVV`| zd!rBwYFW}UMWHxI-mdrNu35_q%lw?B1pNH4UeC}`AC#%%73w&yVU32fAvK-|k}{i= zMP6H2D0%VL<(RVve$*Y;XU2env~0Ssd{J|djy&T}?nG|ne> zMNLt?lU4x6k`KHpgjonC8s)_Gj@hP3Y9u3_XS?r>!mBpg4l61#hOnuuy4-Qpny{r_ zaIbV`yLW3fj2ukm^uBAxt2SIUTlz|t%PA#U84p(XUNFoaL)KNDS)X_Mg4G8_G^3(4 zt#$9VI5b})+avaAy>DtjLjSgD^^+StF64Uh>A7S{!%(MHcP%Bt+1DbRQM^nM#CO+= zz~+ugHZ=25hIQv9PAJ%mmP&i$GxjF(f(g~u^UUa{VxYiyX~tL#TdDo@yfzKA9ad1A!GA(l*jUA${8r^(@4>R(TUaxks}L2v%eta7$_VbOF>;TP>} zLZG7be&9A18ZIa`RhWcQD3mY_#>z_w1X_@+`F1fJ=7Rkkymg5X3KdU`%Ypc zNW`dpqw4C&xB*A$f=48u$Z@=VUx}1?idfV#X~;HVnq$rhKwxD@FPQZJAH9lVf-p@3 za~R5BPdGm14>)smO&2oE_`oPhH^$YYz*kd@m2g9dchVMGd5w{2ZgG7f@Eyp1cu#7+ z>k@X=_o&k4zh#>x9%_wTjb?y$9{hkG9k5w4@esH zNglsRQD6rjx*ok%h5&&P!M@c7F%HovIs}ugowWfceq3mT{YGeH9*n1C`7(9eAxGL| zL~J;P`KM^lpSZJSg5vL6Fgwkzk=vYb%jXyw%0DbbpUL$AUgB= zPL&moHbPOTxzyX{X*R4xM?M6N`do>;DB@ro{R)ZOJ`GQlFigbUX_N3&mt!*fotC7E zk%e_EF;MfN+*8VS@CS(RFvuZQ`;2YvG!vRBih4D|L^|S1aor4hM4<>0A)0Za)(A;I z^@^h1e?ZP`zM-`ssZ>8s2iC}|Gcv2}mf`9~I9SQ~3RO8wX$jG6L+aWNWS+=sD4C(c zO}0wt%aIe`V;!slGNVe^?vhF0lwYYF5geMiibs7}^%mw}y^IRUORG=Yk4~p2T4&y<0~qjCmEFW)Y;9cjJBfFXZ-1(pgDs!AA#a8*`TG(Ym>`CPM zVPg8#UzpTtJz#r^tS-@$WGTPC(*+<`p7$LeX`8}=y@E5-+XtkX=*>2%P&Me&Qe+~N z9I98^ zqM}KM?wT}mFR&#^L*JtRMa@-&!ix?X4&k8x`=MvwywWPy`Vv9If$h6U|KXXZ4f-%> zbS294R94p$UIUZz&pRFRPSnoDAWV6#8XHoFqp)l+mCiUw(4909z3)7-T=`0RSjV<( zLS5TFj7(7>buO;rX7Fjd*k4GQMfO#Q6F}Cy&j3LhUG*gEJ|fkD+AO zhF1jXKY`~s!EJsQcd)vxM_H5dq%=|0$`(Pjo>$~QJP?et^$LmRL5vnLmAV8xrVLzN7j~c>vulEJ-%xi z6p_4jzG&8#PK6vxoPEdd50wzMdc!y+d1~uw;7yYH z_q-u`(#T^f8|g_Sly(YhtQ7`Zv||%w3QcLBB>bBJ8(!0m`$B_TXM1*QN*G^eYWQYY zpYB|^$<7-A-hgia1bt-2P{NfB7HJedT7ahE=`4Nb005C0w~{<}wA3PoMFqMX`(Bc_ zyX%;2WrY92S2;69*Gb|U#nolQRp+A)Fdl`XwHCj~owN|=sUXxxSwi&ygHiG=GHAh( zDsDql$zx7W^1+-W)Ail{ezCg;(DuDm+hFRL)O({vnQAi6|WqWJqgi3cZZw2Us97|S1cNQF^`e1fM4UkuIw2U2x<7Ek(me!bT zl3Yeltc9Kul9HDyCB2CfDqVdZIC#*_83_!int;{R{@b!cfaE^nQdIT$ihdh+4`zQb zL$P*zz?G92vbgAm6)#^XjP<0Sn)=J>b=4ru{&D}F?P|p*`~^eJzb?BhQ5TR~W^~yv zinff@UoaS_vB=AFS&F2_y@un`Gr|;Ns$&_?9g2mt%=HPhUtgL>j2b5l2hiKL^xd2h(V@vMx2wc#Z;}k@w@E=oZG5X zF{0}=Zb0b}SML=smxd*ufB@@p2d*?KRo=_u6?btS9s+rowGX9}rX67my)iaY+FNA} zpVlwQ`=l=CMwYfvfK)!>WrVNcNJeAfX{_z0+oy6iY8)*qy1UfhWi9D8%HeCYJ{cNe z?9{Sq_z>U#$18TXoW+ZMbGn}a=aF&wGax02Ffl+>2nKOosE=88Utb|j;ahE&Xkh_; zu}+u^gD?yw+fc)`$%ScNJE9VWO?Jm&?QQ*n=Kd*!siDK{tJ$^uKXk_P}XUak6{Ooot+(Q%yRh=eZ|rl zba{;fr%NA3>5x@1ikM>8fZ0pHttP#RVkHTiEDJEO7AN8MFe zSfQ^cM~9274a8y|C@iwb5|XFNaHLPjqMB`^iH$iLNg9kCVLfdfhUS zRsa0#n}j+rw0TNbaL+rvK*OnVO$WbQnwTpo5-R*ASm?8Wqq15SE{IF~ip90u(4p2S#H z>W{;fY8mf8zT>)}sb6tLuzJAGYkq0wZTZk%BgJaEE@vsy$nHm@C!b}w&DSEUu#SvT zeY^@mUp4p|%B>+tD=Jia^7=6wFS-lOC1EVN7KI_OQ-A};!sy$UY)$VZ0-s8K&<`zr z?0p8SDwv=xzzf4tBQs{B$cHR)|PI zWLGd@(UUy0$^y(TTeEyV+R}|~nJ@{XXLCY9$?LUO*O3)z$$*fn?a46y>c_IrrBr%i z6P6cdeb5ET4$N1cel6VVcvRyB1+m z-{gt}_n2eA6DD=;g>}r^q7QLJ+WDI~o%!o$E<5+P=2R$hL#usMhR6qZ2V`eTU;RSod_N<1AZc&i=^aDO?T$jOId(@VKf1S>TC$6m|ro}Z7se29(v2jeZ z^5>3HCnaYmMF41ck#G&8&HWmg(vtM%w83qF#V*W}a&(g?22W>VJO#X0RJk}LqEb~# zAp9^ZySfXCA!`|=8@21I&UTR5sM((kxiZ*rx+>*qrKtxx+h@TlXBFK{{Hm6$EvYZe zZ4=g;i0Qx7#v48^ci;x8&A&*Pt;@UIY~?>>46>d&cJWDB)D9q(9*&Uh`5pQCf>y>q zD!?3+4j%~&lph`!HykA%4ATeAsAwEIf9U_cju!LqwE1HGSPfPr)%1G zUF#Hub!F%;(GlQ`|9X4z*wp>5eL!B(yPpVVLfMNHI%LZv#!lis{k}X!qX)~_wexva zzL28Z@>GH1yI| zYTvhZ_4JcJ2*JEBo@le1HkrikH+@`?`J2in&N@!|G#c*kbxDJhS{ z;?>sO($c?7R%l}~AqAr#b7uHNy#ULc7Pe0AoneecXTwitmW!x7PF-rAlMj3yUu-Z< z3N9N1RpF(2+ZOIpP|-e#)MWWqi3X{)vIHehzd@>|Z1S8pN3yCsGCB`@H%Zu5Qc;?A zKHkjxFfe;n1M{-Co5R3}>6VO$2TIuf>1h%Sxp!-=8;)K!Qn>0GoaA8-SlHOZ%GCie z0F&D#$n!A~bcxllRo@90e8DzKGh05mC+9Cy6^N*t(0^fbaS)~>f796soz?kPSt!Yv z#1wTtl{IM`$53D~4iQ4Gn)i-=ps09>aK{-CLRn!UWK7)D=5~_eBD@Xh+MBANWyuL1 z44i;?WGJE;?xrd<42ukdE4no-5J7DS3<|Uw9%zYFixGQsTue?)-5b#`G|5B*bca|= ziBNQkp&-lL6@hUXfgBM;7q~?Do3&?B6G-&wGiy2e;~t;>x|Gu!wBZEq(@sVM6)q|< z#K5$2S5h$iFuZ@Q!ym)r?GBm?d9vxwI2lE_7;_aFD~vTS&*}?h@hvcsIBQDVRSNDt zgPk>6Fc5M>7;ysoBAGQLct#adITn@{JQajjsz}(!&XK4c{EpLBrD&R_m4|%wWn&Xk zJS_?%L*#vY9nU?0y^gZ)Tq=uan*b8U(PR%P$rFhW);OERe<6w zUC^smz_@ANF^ROVhr*(;k=U6AkFf z3oZzW6r>^&SRt}iv`AJ%yX3Qbd=9TK7}u3NJaapG5)!qJu|*HA<0@r9(aWcw8K?K9 zWvnq6OP5=5QN0}>WRM6a&cJddrw5AHUO%F(FFwA`)_wRsr%209JuPBNPniCd>O*(9L;x#E_>YIe>A9GP( zN^USS##<7J%)erUW~6y`EO2>E2~Z6~i6gj>_xUUu*!S7-Vk69s7LAz&`vk(!67lm> zT@Pr_sXd%C=prfxx~ruzY3~q2tgMJsLt8mNGZk5FW3urdtgSEkHFis@-qK(7dg0Av z3yi@RDhYrG)VWXW8i!ptUUw*uK{~YW2NWC+m%H_Ph4v9_#BR+%<53M(_O<0+*A9KW z^IiRqa#?S@;D=FDg#1(|h0pZvsW;Low7+RwfFPmkakIll*sN>jjdtr5; z44YfsmSJ(D5*w!Zrqlw0}*3B%PaB zMk4m`Eg77Y-VZId87%0$7c#$2RB)Biu|$MP62`YF@iH)WsGh_VlB{P*R8rKp(DUpH zX0mfIzpr9kD3vI&=2p*n5)Pg}%N@|I6U!7+o{*NHmWkCjWy1N+9F~JA_Bf)|Cc$PD zOuNytIF`u?+A0LO-DDGp>gtO71%_HYS_kV^=%=p|o~x`QJA_yKc#mm1WA%&Waor`h zXBg*&u@ECEwca;)LtzGh^oEp)b+rHaz2gAO1&hSih$9vbiZQ_!l0ma>KLrwrNv(S+ zXxb6AQZ*C1D2E(~wL$@V8f7BReRsISmdr zaj>-$2j(GCCEQi8$0C%_UfQ?awAZ32^W@u$09ftVYb{~XhvefWqWxloR3nUv@;mH& zLUhNMq=JVL3aj~wL7^6w@##d}O{UAw$p-|+dHIAJ-KT2T+LwZ$0?%nX!ugN>sfKc_KT0l z+Ei4ql&nQtRXF6nI2`$1nPW~Y?!K<=n28TYhoOmT5o03@$Fo>(ZVHhojEOdxt~EzP z$q>XZ`w3W2&lglra>zxtn)jT8huo(cqjp@PICfCo*cp@Fi&LP2>RGOD0QfSmq&_98 zm&MXgcCvjS?+PS53vP#VCEm_V#S4#(R>L^ItPfU#x4p7p7$tS%Yw*ao{;bsB5?{-L z^xG4#`?u1SeaQZQ2Ic=}tRH+qUcZk1c4oN=z5Uk5uHfqvtiU$y|B`nr>D#?WqoCkY zxBXQO{-Kh6p*gL!7D%&~8?3=ZM@dCP&7-1a;o}{jm)lxX)708p)l}Es|7YVFi&i~) zDbJRI*X!?8ZX+Ad=CU+&7>+zBEK;R&}~T#h_PQ@ z@g8Zz+dIdTRKzV@nMk7U*CEGInoIlD`@wI`Hw;3n?n%4ey?eb^>n+B}*-+1e5Z~v;_fcJd9V}mWFjBT#LbmyhIv8_&u z-TV8_;oY~7o4tMCdBf`H?X^2B8k8cALrLX*zdDk^G<> z`ys)9>(Rb?uR5Ni?GloVFDv6yiWl-$`d?H=JB@@5Bir^L9oGQsVK~XoAYGBxn`aHsgsf88 zq_eeW;!m`Uhu3-5c0u~M7hwatWT)>kTq9#AKIJSD!jN2~xy`GUVGt}SCPqg17n)w0o!#3gf^tL_eY63=%<*ynTgPiUH>=< zWHw2>&%=8frC0Yf@9}lFH-r09Qs#3YkZLw%#k$?948(Vrq5=O}9UOZ#C4ub`BHroM zv%z8zG;A&FRA!q&VF}CrxIw^1w(YAP4d_Xd2aBm;`>~k+`P9oouizc9 z`%cgeHk%m;8RVyxQt5i;Y|B_g_J2FLobVKlbQmx$K143u4Q8=51gM1$SSrP?u(Z{!1`w)i@ zr-5>hIlrHnHt;~5F2M89{(YH+H0kmJp9)QRHLY1Oe)&vSZrHjHaVK)9EXNk~#MLwW z57ev6?N1A(&b^9l8NymG*jlABlch1(M!u-)V4xiE(IWM^BNQGssQ`*ep&Wwz*kkVT z3V6~=Bwfb!I5!p#uZ!Ns6-_DIk+pQX{?kstVet}ASZW)W>52tS=VGaP@Te?-VCeWN zbXLLu`5fPgrn&3BqUnS^f&ZLZe<6BA@vZhM0mQ?m{c$~rPxx$qr_sPu*p!xuCDSC? ztF>F$mqvv9U+Qh@!T-f$1bhEDkYALj%A~mwV}Ggy+>}dL{@f)be z?J-1aa>IUP(dR*x{$fg^qZriuH*LeoC{chQR+C zp%nzwwdbpoFW>i{bcvXx>rqldSWIa8k%3(SzGLUW>_sh)dg4YU#83q6rbe)I=l^ID ziT1sP+9iquNi_r+$>vn4YsN)@oYYo#|Ze09(V9WH#r3xbRoE`tqY*#LR= zIj8uO{`Zr61(G+dm%nZoKIj|*c4N4|96ejwu*HP?0#SVsso$YSdxUtXoU9yVi^4OP zB3753jsDp*-DsS=I_cUC1}2Y(f&^1BOX)lQQkirEAwHCp=RF1KJQbqmOX4IQfn1*l z16vq*v_FDhbxzZesgTt!?YD0#ajVhD;?ch&=M=3PUWKHt2foBC87^`sx_1~~TPi39zf`f9Ew+(VYip>Ct!`45;%arw_9(aJCgt=VNF zjmBYUKy*8J90$u-lY4U7P}FLD8OK(qEpPg$6tte*{uhHRIe((w;$r1ivnk?V7b+3z9JzsUEePl5Z0?I`abs%H#(t3bOHO< zkZq7c>!%p0`8>ixbtxZEITc0kUxzXiPvehV-5_F!GJkN<0T9xWS+%D?zzFHPH>fs* z2E3PI$!ll#h~m|lPP z`=15;vcA#nMq`vaUhbUqS_B0R@E=WU{XkpRkzx70vbtn$eNL*(Jm)A9yy65l#2)Os z$Qb`+vo&K|{e*%v)^e$1c%IQ@LMocQ9;B(ODhbpdue=z6%@=csTrs@oJ>}I3H>)ffd;ZMMv2fE^VPN%vGbSY4=+cUgp4@z@}6k~Uo?ITrA z4_5qkxbA`{we!QsF+SHh$u}(ox{-%K`o4U=n)wuE-1%L}Vr-7ajVWs@% zrlLS~*zy>9TN`mmY+bC--_^KaBK^CN{Kk__t^P-X(SPUM0vE}QN3#sl;Dn!9q2-UN zD_VPv0eI&#sQEdE|EKQ-=R_`81x@S@2=5*xdaylOwwr9^1%!zA|xM_ zstJK(A#{4kPO%~l-$a-ndM$POXbxI`tAXhnFhs|ZqXDFy5BGdsvdP=hd9VSu|B+n~8{)qE+L zmUr#xK_4>S;G-~1|I?S-hmJ@OR}rEaquDX$+L*e>&squ|g>5h7jZYfy$5$>43RaD^2HwS&LtB~u$2vyv; zTA$%fJ02p$^~)Ih=K&TGGGMr#zWr?Tn1g;J`5oq>NTm+upEZmseI0k^bPYH(u5qkK z?n~ArbmauDS3}}tUh3nh2DJbcjMlkm38yeKP0XX+L~`^C_y=_%7@SC};FM~tT`P9? zDokh@a268+`YGKkWu&cyt9qFA{UMi4D8q2xvcS^;ephl{&fi6|Ig$U4Z97Poxp*az zBA=$1_e*)J`kzpJ@assmCZ3n(;++_JO)n9nn$@kH%F(zS*2vNv&C!RE5X^x>|K~Hc zyS{i)SqYqMUomzcO5m@54ot=k|4Rsks#Ke_jm?_eexZSV-JI_kn+gq18Mu8G|A{}r1oEk4>4aw^4B@fhKgg2)gJR?Idcp~<6Yzry+Q_O04vT?uc z72N0#9CMTe&$l)ih2DFCF+P?*GCu`7K+hB&ej|ZFeeYZRtQ7y{^v?9hza6NpZ$*=T zXoh-J^)gKYjgqKAUbJ`RanUXk((#up3ulomAM-gM`nPylS)5}9HXcj$qvZg^`$Pw1 zQ0?ZfoBX~40Uw)bdkcer?8FbHkQf0rud*Njn~3gEo4rtRg^4{YLUHCZ+xM5Uo0y_R z{uep}ajYHk*q#e&S$x`aNKc^ShOa>y7q@wrLYDA16IQx$8Gokn9Zz!b>v>uL zm7A^M$&N;TuMJ~u>Qr6h@9mZ$rM(TEj8WC<1r6hNDA)Lx8E4S|(I)nHWqLbHypMYT z`+>7=8|0yO_QbnA__@5^B^x~3)B9RaI#jT}V|j$LzGANb(Goioya?h>-yB*~ifa*WFm3nv!pfKCu%){487_Ac>M) zNM1lV>HTvueH0lkjg)HT7W%m;|4H8mL}_}N{&M+Ap(6(0QP3x^wVf7qX7J$m*DGfe zUBnsla}-wdW=@vgNWz0e@~2mX@=qBRRlHnxDBNoQ|NHl$R_Z1YnDtQEqu8-LC{<3S z#8(#AWto0f*hW?6;co?I@TGjXq5pTQphx_}CY#05Xe4FzQpv;55x5M;I_{UVXjPx2 zz56HRzQO0skHm(9;K%Iq%rhC8u{M&sQ|XVDk2TY3`B6T97tsZRFyo=eCr#hABf1sk z6Gu`fp=Wx=0Mt$<(J%Ix1{Zv( zizLwB^{>l@pYwifzaq$c-vz>)Jxy1VwJSQ-QvOKG{DU?9gclJkTPZ_kB>mQlU6#K~ zEOwH4`gL>}$+aX6O7kS_NX#J0t#s}h-Y@E~e}5tzjIG~=if-+&?rUK*qmRA4y`0AD zZ091mSfK+yw0(5W_(lZU#o0il=I3uU2oagL0zyw{7DNq}nLODjveK;tcTT+(gHmp~==IRskz5M!LK67(AeyhQ8!TKXUo71ItJO*DZW&MnkAM%f?@XkEP$QnwH&L=*R6OqL|l!K0*w=L0|08JD- z1y$DyK0x3$nSAi#+y31tppjrxJA51h`9wohu~3Mb>NKR%QvoqJpl_eY+J+%xW|c9W z{ZWPm+&2QP9l7Bi@5;Z!@lpxe;pZ7#hCUdnHh_6t&$BoHC@MdE;>OeHNqu1Ioe-IY~B4-OT18Aeb7d%XRmu~ zEE|kT)*y;g%*}L(v_^PCh5D91;6;L!Vfc!`@q`8b-*>5Lg+dn0Fp(Uuo^u#EpvJ;CPojpIq^r^R=xyLb zB+KamoVmg8w}F}a`b=;qg_$a%a-#|>PFOsuB08YWu|@1bh|5t(iFaap^0ziZjv=LQ zVtmidpI@@T9G=Fi%sGYADW}Y&Sk5GBPSX&2b!v)kq#6q(Y}pZiHOt4nNX*lyOskrL z>9$85Yc?u765SmttI82@vafkRqb|bQU!A@4N}lLB#)qcugLFBqaI@Kc%Nt z^7mg9Rj?gxq1ZYNs>Ot46(7Cp@~fk(&-0rn zZ88rFVQq4c>maIwRJck2>X~++WLw>EGpWFTp49}_)J<(Z&3kD)wa`QC_%yKbh61E} zVOW#INRy7_3IiaV+U{uF$>0!8KHaCc5n?@FFb#Sa$TlJv5XCdLW%AzK@|?|s6SQ=q z+^6iy6B_bSNJ!fx6O}wqJj<`o{PKTer~QU`?Ss~5a5&2-EN%Grd%$zA)|E&BWGnsj zitG1Zo*-gsh_HQ+mPqi{P4lP zz4ri%Drwq=$w5F=5D)}Kf*_!vh!{vJK}3-(K@dSu6a@nqK*<>-=bUpMhB%2yFvBn~ zQuh z%zb%&bIg3pgMH6)j$K)KK>`nJU~Cz#p5zj#EnO0Ss2k(2e}Azr*Ln6~MvB#7JJa(W z-WqOxP;UbZMY_f?_BO@a5^sgv`K})@H}{1(Sx2~T={ABol2GvYa}2Lwxa84CI&Ww8 zh)otBwiI9aEPjLQnj62c?`!2oQOObeCbw~m`Pg0uApyy^ajYt#uH^&CBiv^*tO=xo z=jlgbntQQgjoQ-f_74n2PjRQ2HhIE7=RT!hlX)vsvEcAFE-<~W^}$0uov`THOhNu~ zf4s-X8-feXY8g+E{MnAza=>=u3$3-SMl;pRYWMUyR%ohR?Q^B;dIrs>#pm~4uc3$t zUd=r8fC-AaGwp(T8lb>YgUsx36 zwaH*3)tSH=vR-fC*uR}oB$HN>O=Le(sDIn0OWyIZ(JvfMJ!O3MzBqhKST=!m0)jYr zwEs8_}baGOJx zQ2DxEvvV10k4EMb^BH3g9nuO7GjNql5G%ZG%v&XU(0de)I&eXT{5VbFDcz;}bgGJ6 zC;C@T)QoxJJnx+6%M#YJuhB6}`tYdTh$G6My-nuc?g8iRNevRb^AXXvCY-851v-PZD!2tSFXZQ!&v8lmh2la#6QE+inr|bYA1>$=|;v zZ}i$5yj|Z0(z`2kMo{j- zfvjNR+Xwy9dqh7S8hgyb$=)^HH(sRLc%W5u&(*z!_-A>MB+1g%nfF4=c5O@qa?#CY zb@7rsOD*&zFP`&zEl#txlqKoZ2UOm;ggUwyXXp8B6xuPOWp{sh?w#DG_oI&fgN>5c zO%v)@Z9neT$1Xf>cYG0jlQ#Z*{t=e7jOf=(u46Bo(oA=+Tf3V+`Bo=Z6y8+Z+Sn9cT9VerUk$yo`o8 zVfb&H&%E1cH5`z@Gr98F_43h3c3OYw!sj}wD^|YyL!TZv-WoFj^|_e^H}{ut+$!1m z@kvmB8m@o5D)ze1`@mGy$y5CVM4okb6v ztBSh+HWE@Fx5JP(Wwouj*uMA5$>x|;k*AR7Y1g?S{jj_fGaA?n4*4rQx}%jkj!yMX zfexH#BQq^+8Ra(l@zTZV3@A)PJ4th2T#w<}1LdLXqJF8A;(Q6SaK*>c$I2@u=>p>` zm|IM12#G^hu@7WJ4Se}8RxdL&e&h{22=Sh)L73~rx}08%Z%~ErnevZd4B39oD@Fm& z>!!oM_D*+F?yR-OWsq zUFmV+PIX3~#|OM0{fJL8qip_}=UKK29(M8ew+_2$5T({go3LjjNfjZ@0zCi(PnF#@Yf;aTBsK6cV0AR5xfq zbZ5#OHVHg@>z|ozb7nvZR}_R?y1XMkSkK58{^`PYx1Bl~&1s$yOcTr31`p8&pyif6l_IUOUUnct@=V@C_nVTo%IxxwS`Fhf>O^dm~(F)j) zMsvRMw@}`)q4(d@b?~3fH%jzXe75cCa;Md?;;kMWR+r&pw-s5(W+ZzqiJW=&>HJzZ zES<9ga@w{vJ>pK{JHD_pPA1A$jGc{Q4y`qoTK4W7D{Z5qjFm;%&-8=$&~Ox*KYZgg z@!J1JgwxW;^9xOH!e`;DCYLIXwm_vvE`HS%A28Qqw^!J-tj zGezm%X45AzMH{gLHJ_I6(2CUUwlIkAjZIUTN?WXT9c0dQ1?LL z30HRmL;Xoidyy3V^E|0sM`WO-u!K$EIk$3H+3xu|&Chu*7fvX>iLb=F`p=CPe~waE zP26d5jF_D&nXj)cJ$Ie#A9TAw4=?NR$d-#?jEB%uk@br2Oy0JE_jvqHl2kvkD!bE$ zW2?>qWwvOG4_3^vhpw3RcA_)NT)i`GvHBw*H(*h>OWz?sBs``O=yXXn>XE=^>=pUEaH+VyNJgU6Rm5tuSn?i+z^9VxeM+-B-t+5 z_nBNau8i8k*nd~ZwpZ6c>m}nVScK-E3rwGL%PIzv)5OQc|D7BHkXA% zuRje^?m&rMS=r6`@#NOgnZ{|IRiU1Pv`(3Fqpg*#1EMbJ+F==~@3h_NPUuZ*RK*^+ zBs;U^ig4b2sy7d#1SifXoYH$OEVtXDQ#^CNnx; zbPVOBaY@Ih+0@IhlLuZ^yH;*-D45`~&m+IOEi}oC14Z>!6R{&P-IdqFK9@4h`X+?G z7bS8G@5b8(>u_^;jw^ z@j>S#?E&d~dmN*mDsByL)6e_Z_4*}bd%fJ{-7lMM8CC8+G3g3D%P~G3R#CypDXJHE z?MAfsUUi9Or=AL=X+f}^ZIY{i<12!{r<;caI3-@eg%_{Dz?3w0!mS>RX+kseq9`z=8kjbvK{^Y!h zAI~L4vHkRSbdlDwH!Q;P-|>!J@wnlzYwt*yQooIOqLA5Lh8eR6`$rlDJ1fQo*}VIC zI=BQQoI_N7eCsp92QR%+dV9QA-u|-o96A#pWZg3mD1*MHJ;KBzU=h15^obObzY)6E zzM!^%SLnHbOMz)6_A{5Ay2HW-o*n0Vh}_C2KW2N4yeRlAxqR#zqVmBfdpo-Ft-Tp@ z%SN&=+Z_7+#@)775sPh%uTaNw7dPCG2q{jvn<#6K<}NgMiAZ|4l#vf0U{whKAs(BIV_ThBaqS1QU*)ovfkO0;A39K zgVGX?HvW!#Sll);+fsTds-)1Z3Lj)xUgur&7JvJ8=1|9~oi*ihL+$po5G4)ig*#%Q z)tm3M$vGdI?mhZ=N90)F>WBAgriA{{O|&^iQ|1)|N4K8i3)@_D&{##t!)EtDvcQbT z`y3v{B<&5(rS$LZko#61`f>1-PTF%^l$3dBBxqIaEW6uHXd-AVA1>8BD2=rtja@wM zt>Aj#p{&l(NT5&`dSq;$gm5;rrF}Skd{gt&06d*>erYy$NDY@c zRrhUBRD`)phaH#aMo6k`-=c4xv0VlO%_6o+q z3a_pneEDgg`v=yI1^njwT50*0-d|c4E58+WUOv1{?ai4pIBg4$bNSgG9|GP4x`Z(G zS~cI^jpOK#S%w9u>z)+ZA+cXdb&C6-ifM%4b^DSr4SQ`LNfbixk6W zS@+efE0(tlKiW>*5G*gTh^)2#;=@fg)Cm9DVhTY1HyRV39F<#gRG z3CE%p*ePJ@RYe>bzViAn@kbfnh4Up#MW;7au!QycEmR16R*hXq6lRG*ol&-Gs?w+2WULbuy`hidt4}1YK zHTiU6d~9@NcxY&FaQ!${sExkB0;m8c011ahH=_`6SW`noeO+yBEffk~YU}Fi>+2hU zGy-XY!Qcoasu_*JQeoinEiC{_8;RW6-8V2iIx#u@Y-W}!Gc(Vor>CYSzsl6q)b#Z9 zvuD(U&*x^QC%+;Z9QX>N>zj0c5vs8|$?a`~7Hl)3sjjA~yrifgKR>^qsJOJE3IeUI zs|SFZsA!roxE3O5-4LDBp^$)CD7}MYQ*(leY5g%3FrjMXJ+T-p97hno12}T z1D_Wb7Z(>OWD<$oH8A#U;pNKfl@|-MQ{y8;>%f4|D8RbFxa)QW2f8}jiFgdMsSZ+6 zT9luglbw@SSW*G0ZG=-{0Bf{<72uurj?OM{CDkeYgCi5qp1*wi;nU~OYwusbSeTog zTX?zpnVyM-m4%6JZDoFPWB@o0_@%GM>!yv3lXqlR6|%LR+}47IH^C4XLPvLBe_s#4 z)7?8TJU0Fm$Ru#==wMF=0gHq+)UG4S$;rtp02ZpOs;a84scnEaWAOyydYl01q;&Q4 z4GayBj0_Kh*RiM5Gjnq@Q=|QzZLNfk!P)nW99+D7Je%3*-#ijvm}#N`wY%1KK~?mcqG&MPXbqOlndTu<)m8yX!S8yOnt2e>9C#)f*x1RNUC2(2tB z$j#2qEhsLpg495&0U&5S9E~TEyZT3-J_9b8niw7a5;Gt!K$Lg zYZ{T*76J%mY%{z8x~{IZmFkoh47{$YtfZu*xG+CA7x=8K0@$Yx*4)z8LFw)r9DO=P zMKC!HV&>JW7mM?=GtZ{R`r7drTzk)8Ke-uFkdc~}RRqNiJby>C_G+>V53jE-Oz<`k ze%|7lcdsCmp!uW_Qkfg|=z`(htfzb`7w`K7hDE33mR44j6ctxM>!6jTWsoKmx*3fl zwzpwnwGc>6O;vGDNFMccMI%wT*4E~_(!7kMsIaIkNMlK;n8G$WKJ^mxK`TE<9Y&K~657N-QTv%n=w3Sa#R7zTuZ!@pNQEfeA%d2

    Qk4vwB!^=|>^Xiawg*helO_gaOp7&fHdIbar2Zu%_XBQOa=VYcP#zsZQ zrDo@3q^9PSR8>Q2YU{!JP*GM^UR47rFUZNxObic=FDQ+-;NRg?gf6?eC?sptz@qZd z?@Yq!**CA;4cw)$YtQSGiiemsZ((O)Vc*Qj^65RpMsBVxTX*bL($>?{)w6Q(4+{rR zEf!}+28O4k$A*MwR#s+)`?y^_r=oh!@`9fBIh)5}iD@aZ;bBjLeI7jY4G9VG4~~eA zjEIhpk9rc7oRgoM1wbanC1qyB26*{C)*O~IV!q_Al%gj0@zgQsSh+7s(%$vv?FZX; z1$L8zSjIsOLuu=Jy7+44`A|D$V!EH$^O|)d8{6g`GV%&adJZnsg~83u)y+3JI50Fi zCdk>$@Qec2i?QiRVo7QtnMua@wyT}K&Z&dU#qO!on?(*8Io-84x4Gx(=H%oV8WSI% zn39$p6Y(U(%fZy(_@*2u*=cRH;bSM*OASYEQVzjo`fe~`bAe{hhG>t%iQ zlP6?W-EM4+#Lx?f?KcU`t*!zZ$sN!qS8Yu!&ImWmaB0#XT^5#B)Hbm8%c&{L%qq$Z z4NA(2NhEw)>%)&S@QDj=;?eR7_4jyq_r|^8_$XK9%}dzi(6Zr9clYGnrBglyj=2p6 zEc_Conf{C_`TF^9h2E;BZP>MI*KUbDiaG{5Iu=*$tuJ4-I-{z%Z;#wz$+v!m3(Xs) zmCiVZWtCK+`sQA~oW>?xI~V1z%T9unK`LVXp4^Ul8%=lolCg%Ve_BSwlN?B1n1_R7 z5zQv1?U%r>%iUpiUGJ2+xstS+-ECvRHh+bI0_G!}v&zEOTN_`G;zw5oYf8&=E5;ca znYM1*BzeV&$kD(gDlf&wy8XaG>Ai}Fj~rLq%}U3~yLIa}KDHrGDVDnlC3Ow3mfooq z8k)B+md4jGc*ls-wRcSe8wY{`iCgMw(!DfaJwf!zMG*=DsE2$sXxnO!|+m8JTM~&_DPB_Jd z(B=BK(Q&+}#cz}p+aV&fk&TOEv1@$w<1{=oyWqj&HJ|!tU~inBm6eH!m7Rl)ezCo# zB~~+uFta7HKF=>GIW8(b#KzE8v%Q5wT}9n9Dcmd2L*1WlzuZAnYgulkOD6?(9T3^V zzmuDxCt&M)dQy-M)J?>;o{^JX!p!BKXIOMZL`+;Ph}oF*-0YOJ8dRdB^3z;Ov|8NL z*|85F;St$LNODRQx;B6x5;Cd86*|Htu~%AZkA%3G$WB3?P25}QrV6|aZByD8ChE(3 zU(77huM*MYQ)P0NB3Vt=oWxyLg5Iw8(k4VstMSrq*vhwCnm#>y;d5`1UHk2#^n#uDSa8~YH7vFu<5X!ZJP#=# z%UrTMr+T}#iEq#Lqo>ZE)=)jFs30RIE+)Vyw1vX3O;|*ff2}HgSw!Fyn=o^>4~}8A zF(ueK09(>QSHUSnhx9&b=I!cR*gU}{y(xZgLVuxR^Fv+3!zE8s4hI$c-A@o{vGf)dn2#O{i+0qh(;< zYhYu4)z->PS5xbRqT(@$j|~-K=PwzZIHG)bJDa%Nr}UcM6!xu@quN4@OrM#VxG-}x ziq$nHpXE$R@iYtf+LueQY5IM<3zvP()lEaoD$85?2j)J}Z`i^sC@j2FSagrHl=MEi z{W9VbQlbJpo7j0a!#=W>DD4cVVNk5A=0A8j^v=Ok!3{GsoVyPxX`M5;=ydmi+nsCn z7fp@zv`%WNZbo!mv^lMQM%U<~xq->?&7U`J=43<^^BNvwsD?75mAZ#2jveRRycA@K|$%HrlzL$DGiNNTE~@- zDac8Qh{#IKUN&+GnT?Nbhg1;;7GC1=I@rYz9Y14XV{PZ?eBZ;<%gfX4jYg#a;o)}k+O=B`Z#lSoT)ye4Rvf@@C@;Vb(e%L+Oz#?4g@;=yDe`8%LNmHo zSC-U3k>j6VKIJ-jPDjt!p}wwxxwXw@hig}_*jk$Eo={Obc=(js zURj~$`*rLR`y@prcW>LWOU3w-y~A}!=Q}R<+`W7Q0{#60ygfW0-o58^&CUJNIY;04 z)TrRlus|PQ|A1g`N6*-3dzLAAlPfnj=V?XBIk|>A9M`tGcy5P^y77U^<;f*F_8pRY zmCsn+biV86_Q=!A^YH_xt5@tV+h4K2?tJ&Yn}@HTkJqC+*DjqucSc+5tii?mPDe!! zsT*9sW^QSvXZFB9Fu?nN~y&|gH{)FVFpQBrMX0A&8!eFNsGj)5)w%O!NY^vuFX&8}X*|JVbJEjT1R zB0MZ4$luq;%iG7(!`sIgF{1~M8_p1r>22FiE*)@&q&Z~cw}5+ zN_tjiMoLV0khiY4mY-~(SbaY%CFhpET zbmWuJpwNWO;(7!LUjp)}N(i*7sH(03-;kD9QQC-xqnhiW#PQ+I_Wqgq`H3!c%;oDA zCO2&Duip#?{idd8=H%uTm6Vm2mzNY4!TQ8DG^ zfz&%MH!nXgCo3%>J~9#7jB4o|9PS!x)!9QC?p&Xie^v`H)GJ?8>}8$Q(ak6US3gM0|DU5sw#^M@-k8q zVq+r1fMa9h5=$x*-9r%_EjZA+p{~4aJzp%ZC@(9c{s4QXro?BU+uJC8V~caI7G__q zt}gbq4^E7?HMQ1cHe&Du6tWqIZJU^R_H=+k#I;Qh8Mg^5TM=jO>)W?x%wj&z5Ou=xAu^KGVMGAddEq^j9Fz8HJ5FJfgXo&_)CZhsof* zwRdK5d6EdqtBw|QJDEfQL<50HYy*W|OA8(gs0J$00QdtG9F72(~LwR5C|9&0Y-(v;9H5E?d_CK3b~J5-`tAD!5Ux)G#U#k zYz!8IXsm@)RacZ1l?{A&|LNmOe}5OIbz*6<4S^sKa1|c0#5Uj!QY(qd2=w%gjP+7k z7joCo@K85_+}TbcAW0y=x&SKh8=?VaKnCS;I}pGjkca?OOUpX7LH)sl5|>D5>mZZ6 zyE{Pz-PeV0#`F!g;9G%B+X#3f0guC=5HKoXQdxo-8y=V#BM`}Luo@H*Rb7c7Q=q<~ za3X=&-VH3!+dtUfJ2Kh_`XW7ovR zh(G}2X~l!a00}T1kp!rPcEGswbhLr-0Ovy*Cnh^k^;mF{L;`rJF$ipmAoO4wT1lPV zT_i|WNh7?bvZ|g;Dy{Aw?eFR!clY&lcLQ#sx0}+@Nowop>1@Gb+S=+H$=#$*z(w@* z0!E^{w||{f0?nvw2ryL}2_T^Qj?lUuTCHtVP{4Y?rR|;V9b`&hWkA7DXG2|MQ$3ml zj<2@|lvf+z3J5qdxwn@>X)1-nkg%q*tOj)R=yY#8889uKoz!vn0|umv(gBzsEUpEG zYbbzIfH4LDZP5qJH#pcgI0W7X06f5j0J;YdSFNp7uK`bepf+(vZ;P4=92%RHiz}tg>RRf@?Tv{I}(8<6!01B`PunYi!12h?yI{k1! z0In7S5sS@?fnmW6!!;oq8?Y@P^Z*)Q%Qi4=fMTExL}ptp1lCknn;MlBnc3IV20#Kb z32;%}AWDFq&Q9Pnd;^x!-b^6XV+Z;uEhreOV{l@qZ**j6cyMTtN)}ODt}}bUAXJBe zxCXo(KnBQ1z}&Us2_T}dE$Jy_Tnh=&(u{0IppdNuQa5li;1+>>fVs$>Bnr@ps)E*6 zSLY=rMHK>sl#XsH*#_7xU>F@7o0}Bt}@w$5lM@G8a z5ykZs5ITc{z(Rll8wP#@S5nudb~0F(z}yGZ8ccucVur<|!D~w^3Dc5$rwCVrY{esB zjdidlcw-#`PvvldHvwz_9o-D(SZ76IMp|-0RAhWvE9ej)0CoXD$UuM%0rLg`4S-1m zoYK=fJlsD7f`;5e29)36ATZC^=-9|0AZYu0*4LSib()wOOf6V6wi$y$q7ls~BnH)j z#8h4I#n;YtpNFpgCBrPp2Dmpo(0MXe)XaUdf zQpX6^UMd|3EJ_A2`T=J*GBP$kHaSYB40N`E#RqVe;2_`#hsQ=nhQMU(>jjPm^9;lU z0W8;`e}Dtr-WqG`YU`S6o8fiv-~(pK=;o?gCCvwVsa zYw7`eSDKXr#Ss8>35;Js(Ye+o*PEe`ill^sCJ+x`-oa6gjrG-4g}K?u2{BPI zk&!7C#4&tCKsmg&0d&5eR5jH>L1GNjJZiF@l9ZU3l$u^e9vmJW>}n&AExdTvS)ZE^ zg;qfz)ez|V1`Bm_1!RczAnk+J)i;930rR>6jHl%S4DoP8pGgD)t!XqL>f|Du`l}}=7>&t7PP_S78?jAK&Ra6saWu_#> zfkxqgN{Pv6Y{7#W(*(nH_V#umGE&N`OQ-`cEGaE1Dl9H31<8C_X-P>DC_SkE?OJ7J zC2%%SRFI#QnVyuI0_rXQi10J^70{ycEI?dWmX$%uDE}WB?VMmVPOHD;Q{Bp^YaP{64LTB za&ka9T2KPU0}2$NEipDYAb_eWG$JmmpaAS4%5gx8CcW>Qt^$L0t z1!~4PaB*T{JopDJx*58WR<_V5i)PL7U@kB^Ct z2nl@>76OXjpunKOfPesCNiRTJczb(-8rna=4=@J){-9F#_44ua^7H})zR9W3qO|BR zZ=c}M@F(G*wvD2WggT56e;@1f2KxGXMwguLKX3=+fQN^tr^h2tP!dy%e9uQNj`o+# zjn3(4pVB&|bLPw$T>}#fYrCsgue*5ofchP9xZZw2f!>cFdwF}fxj%5d=W^@L?Hkvw z*w|dQyXs)?;OOXd`_}Dyu6ORb+_~j+^X{GNcdkfs*~UeAIosXzTt`k7Z-CU(?V-zc zdr5Io(Otr#(h91YS|?RiPpThRRXwh0U=2FEWPaXQ|BTl0V+yi>XWA>b|A4%_yuuMB zRSj(&eKT`2+uINB-FCin>yokM&D%Gx*FF657#bTJ zpFeMGNPRK4GBv$w$Ub@4!^7I}yxlEFTRR&wGb;-Vn~TOqhC1ph3VZ24zInB{{E2~{ zmY#`~jco(qIzPYuv~h>Dtjun)-QvQ60{nbDT$~#@H*Ma;xrLi&+YS+NX}SFh%EwP= zoijAhH!{^zQaod2cJ7?M-Z@>}b7xPf12Rfc{=j}&*@KFTiVE`JRYCFCu_H&7RMeCX zpU~YmJ)vM{bnKYsITORvS|<4QM!kt0C&fql|@#C8Y@3T_wR=ie^4onJs;8!z8B0YRaiqT*5tGH;@r#IzK|rT6ZU zk(1mhxNS4r1{Nkp2HJN^&xSh5F=2k7>i2kf>zaduoufx^#FGFJhW`FxF|iR(B4U%$ zGI9Y&0CwJTvNBTB3n7h|&e5rv#aD0N(=sx%b8Xwc16WZ+h>uTDc$bLiE+GMap3NK_ z>};$|^z@8OjP$gh-@m7!XJlk%-N3@SVFL#bCnchuOGb!u6DJER8^fCy&xa{J6m(5R zNq#|bZepyymV)TEZK9F_Y@A|8)K8z)(KvBJCZiMrk~&bMjZk+)7vIt`FwoJ`e5Pe!WTdBAd;fN2d2XT~SFf-7O2iqu7-p;pO94=a0n;ID#=;|dW=jKOTHua26 zFF{fUN9SqSxAJab2SN0TW+N{*2OB&4M!?~2;p5*XC?P9=NSJ$i&FZ^l7RUk}Fhrt!9Ieh=RGhuWv{;ZhQop5t&qqBzBEV z^wh+7-myBR>yh2uKRr$%cF%lZ+Y&`7QJcF>(pzK#= zy3p(XM$W=NtC7&rHSp{;4J|DV!-lQGQu}0NRV`c|yFc{s_IluCt1r(>|EeohW3#Z% z70)!x$k^aCJ@-zrUE6uKi7A}WF?G22(DkmXi{pjUhqg@wa|SWEGgNO}s`5*IdVsA( z)IP2}_t69KiK0iG=az>vbzLgV-g3>S6$pnk;q$JFZCBJ%KCJ)H*FkZInBcfZgn0G) zw=jc)xRbu&A^yH@>Ywt4RRYpW(2E;)?NdA~!?W6puS>kJDW9@AG2(Nf--^e*VrFHap{1u?9s=oO^@D13C}|X%8W5V4nwVbQLK%I{L_b^*kzAbFQkEPW z7atiM9GPBLTl(beZnK8XhmT8fFzm7lOOA0nxpk?dwdW1@0eyRWJt@Y1cu}-ZB#vo2 zKhs2e@3Uu=%1Gz4iUKVH$bH)TUiucPvh0yHk3$SBv&m?w^P|k<-Ak}VYWhSS_VoOr z`}91oU{58EPp*D)Dxo|bXo|B}*tPrUIb%&J9@>t+&BF}e28%kz$fiWm>KptOqNHLoWL$#Eg>Ho9sDrT56|IQoVLx}Ftz-x#d% zFTXPk?!;pG4>w{m663{DH5xtBvVppXBOhOjCJ5VR?C)6Ptq$UnRe(&yz^7^BW%K zdtGA}(+mYwksRda>KT%dQ`tVUxW>S;VFL>@GYk7BZr*JI+l7Qh#6*O6*l3n#=3aef z+Q81iu@RgBYweDmV9^tk*drw=CbX4<1w0SJO20_Rye0D%QCdry`OLz}#m%*m`TcZH zdq@8SAVFc}WyojjyH$pca@p?!?azbokZf$FKCnDp%>|C0E+VD2* z`w`$NlI=pfB=#LVs-kw{q=uG`u7Q!Uk-<3~O|>Hjq(p`I`KassP7w*2{fCY!tE#CT zKXFoBLqlEdn8H2@QDLF&e47}i;c-{wHnVa|pT6n|=5$1;|6^yniT1eI z6%Wcv?%-lvAVaeg&2Fhc|VRCcYSvu9{>@h$ZpMz{823Tz<~$OAL03~ZY~&@!xy zwA7WA*5Jn0HVW=J2nMcwT3h=R&<&L9>KmGvSy);D8`;=^eDE?=Y;7)Gw7OtnZvF+4 zrIqCcb5kQdkgFWpw;KczJBMOo>KC@ZU|s;V77e&Pf*BGlEv>xmP`kE^Mwf;P&a6?jom0WH83(bPJn zO|{24J^hRSF!`&83I9F+uLb_07Wnd<>t8<)``?2970(Y(=z^Up1lS|{zal@e&^nwi z0tY&O24*7DDI$P}I+cDZ-yEp&b1VIP zm{dbhoeTr%)h`{afA~cQh|Hf~OFarM{|<~A$kTq6@B2`u8vlC>tzZ26e%JA=8{`X| zpN{nRGxximseYx3+As3uyUMZkS^u4=zTx{sPVVTKi?0rCzsw(fa$>*!dkCwXX=Nuz(N2dFqF6 zAio5_uftn+`+CR9DveD)VEJ9&>m9+A*8xzcFR%zzzJ>Ac+JDjg-QjOA)(=tPfu5+x zQ~)ljf2c1iV8B1P_a`0ya%g?ATkqz3xBlT3KR9sRSic@?1m*yDlP}?n0RJ53TLi8H z|HDpyb7FlwaHaJtzR2IZ?z>iBRZ%Yk_|)@UI2_K^FKAlj(oZNPYqZ{4ZMQpN8i@HxB6Gf6+ewD|r6x#X$a)n)se$`dgp>LfK!R{-fdkE$x5O=&v=exA>j<-yHap z{{K%;eZloLCjPRMb%3DpA2nR3V84@Z?f#tQ{-fUhqvKyteB=9n1oqSK|B=3*Ui_n) zFFZR8$of9SH+0nPnr}iq3^ss%V#J?m_(8$XnyepNS4Qm?YzTpW;IqDE^$VD$#s+W- zoB&%{znu8ifcg$Dp<;%?lzzeWi($X2{0fBH3#{n~_~#DCerW+t{m|%lO1^F;e6RD{ zXDSc>tE?aW_VsHM>euhD{IcT(2J{v5*D-w=0Swllw2l#sWF6tpceQ@g=Wh`FxR>*X z-@kP66N~-|_E+4$*d1K;OOLif-!-#pgv-KP03dn{kO`_6&}J>aW!O<@w)e`yYOxcK+)nf2rzk zHTY8qfATQRZ|n;?`CH2VPNUx$`lkrjd;0Fo*Pj2kt@FdfJ3oc;+p+(w$=@0F|Fq3d z^!!h|__zIETj2i#+wNSNcwWrg1v?~)!v%0gtcJ}{Y1ns;LXvxMQ)exav+NUV+ESqg|co4YL z+lf+7!xkHpbAl0^+LxZP%G%reqi zJamLk@_}eoWD56A;bb6M#ri#-JQ1Ib^)wMCcaMId62wL|C;iZjinVX4KWFLk$IX@= z=C=F-^BrE66^j|u=|<9o1LmiZB1^tOsjRecaqE=3G&#i4_7Fp-$wsXPQO0H-)cIzL z3BT4tSTeFa9))s%m}^EodSDSHug-?oHP*7-leH1&o%zA?=J4Xe(Q#_vGyB=E{{MGBpiTYZrY0LrLtTdh!qU()slebdp>eb8A zqg)N4g9fwmEzJRL7zyszWM%NY-Rp}Ls4rOqkAX#l>0ydVvaNZM*ErZ+=aoK*u7^F7 z95OXp<9p`|!3l>om{JHiAcOKBwjpd9d7_ez6Z$>h{9Nsmks~J2lsdjrPpuqUQG`|dApl!upYJMADL!B){M?pSr&%ozEf*3=VA`|n1(z; zcEK-v*GV73IPXAEy^Tr~v%(QXvL{!Xu~&9C*FHAz-;CuLTg|}^yLw|6?8$nzcpT2|3a)t$c4p*)#cV|*qsxmthPl04Mj1N9; zYGEKk?t9zSuFNvl0B5asev{{0f4Ezv+oo!g!V>(b9!Ky*gk^x7lu;)8MlpQGvU;7z zW8xM^Rf)qoY_}W%(G|>nM-8&2llqneIGend7|q$pBXukUw}g&*?2f;Kmjn!au3&*K7tOuaP& z)u?^7YJ`**)x#6hoKAD6fO44gWXNi%vd?}dhuC_L%#(q~<&i1pN-IW7$#7n!=DC2W zR#%OEi;yQwDPtafc6$oO>=^^gfu+H2)weloGqUGP@8;B^c6AylK6|rpqUO34rqaj- zCklA~=o_GR+AwXpM4xNXAB)d*_38mvUxp2(nNqghXK>31!e_jF!9M85{$pL)gvJ(6 zY@Y)1;3N@=uuStdbSt;_c z4Ym_x6kM0h>wVr&4@TzSg@%}UlUG4+BFE*onI7op4caajtM7?7N5=5)+W~n=(Q-Iu*Q6uR!e^uS;M0_L1bl9u+gZnhEax_nGN z62%i{YO&lx__g%rW+jW;heHvTAtqum%3RfmWNIMJhgzOlJMXgAns@D%Kd)4N24{J5 zPA3y~C{j9)dbJT2ImN$H!iT&|F~qwp*dYj6k4*feu@z_m$*JTmdr`~rTD7G?{$B~* zqp|$WV$b+`MXs3UzBMvHmqYhGv|Ci@w8h7rC>fRI z`$CuqEYN#M;n6{kIDS%emE6YcZ^kOTo-@wT-7)b+f3zo865J!I@&NqgIra2X?WG;_ zG2KQSr&tO6W1TMb4n^>Xy`?S^n`!V3x_=ncb@XTsbF%n7sSCA+~VZRIsVvpZh|#m`-N) z9XUGMYvDR^m~5yRY;>g^NjYg)fv;6pcL|T_DuS!%Rl!ar9(+~xtMqs3?+J$Z-CR8o zCM5jw%siA42pW}%Yz9YgNhozoek65%mA7EMA;>mTxFkWQ4 z41FJi^+V+!!F=;NiI3(M*PoZfT$@p9W5xC8D(HBC4t5ODPzwIJE(UNBm!NPJX3&|9 za)o(`ZV~Y)Eq^SWbTuP;0pY{ew#T8HTtlH=l|ZC863QfR`*Ea24DQIvYM$oaa&Ql! zYmuml&F0aiYs)ihj?x**^A`uAa~1B6q1|8RW=W5g^3-YH*4oc#W<86YHc+JrI6G_6 zm?WAGqNr`e5-S2{6TGqobrRLAX3;{TrMoQn8@GE;Ql$UL>$s&}CI(Lu>mJpB`!|e^ zKZ@)%QhQiXc1HlCM2LHnEP)svH501sp5xnB@#{^aBhlTpIpn5vr-8d@9haG*=Vo=E z8C)!iW0%qxvW&(y4Nt2je<>bwxI$1_8+!bV?Gs>|lVyY1O2x5oHQVCkS5?I% z%r1764s-8&6|T4k&kQVePF!)Ao|1;lH4JmH6KhU!HNwbcWgmv5Ob)N)j;41^bGs9S zZ&Y^hA#r z<+y4ESEB`4q`@{I(zY7!tmuFeb1%{KyvBzzN4U$pc{_~81UD;%TuFE~Xo9foG1|b< zoBbrrx~>Ps!JbO=<=LxqUTE51UO#R3Vt@iA_z(>B>Z`9gJ8`g+;sNZ-AYcwm3^*j|3qF z+Y*FmoDhQE-K4qCVy<|iMkA(qJy_&Ss^F;>m1T7kL@V+Z3-)}=C9TVLyc$&7Yk%z3 z%4UkccSn%|L|B^dv7+nP>fc7VHu~hz@K?FqUx+0E-Ic)46M8aFO4p!m9HEF5fJ>gD z(AArE^`vw+o#(l$9Av-k4_VVklGyzI12gPG;9$00-D*cKO6l0 zf%CMJjb2Bbtn0OjpgA0I9?|0fm)A(Du;Q*-y)apNl!b_icI&elm1ncYho{AD z>YHPh&d^4bt11lwU4ldnkL98_{M-ekJJ-5wG#4>8^L@8Vx30mnH6Kwd@5adQp}y0WUt1(&1X~h^Y)j{muh69QL8eW1ujaTD2uF*p*!aL zOhiYJeccniK!Zdv(V-(h9-7sube5qFZ$YqIiXuPHc&GZG){hF@pi>!EwO7UIuXjfq z18*z5K@Q!oR^8f$Su-yLTyKMQy$!QLdx{4VRu3{|f1*gYn3cpwTQ75ulz>>wT8NtZ zH}(L~8`5~s@AdM#Q{i=$KIUnvh;W9XOBI^zY6+z{osCfdexW9Wezdi8R!#CUXUlr@ z*7`oQqjkw<6ARgqCUZ1SyjU-Ix8vYCv@q8^En%_S(gE9XiX!ciVHy3TC&L@teJt?)vVf%?#tblGRg5SJ-ZfgcBK|`)3r-%=xV7cwePxayOs=> zEGu@uc>hsBGxY$_wR^aZc%5^7Gbvp`|Fjem_FNNCUP%Tom`vxQMIurNnW>o8UIWhKOCQLc{QR9jECv_yZws7QR)!zhA)J9FAaJM6{r< zxb30%*$G}GEzxcdIz0ZU9XPqC6N*SxND#+VpJ(}@3ow-hxNXN{FOnrcelDBn^DvZ% z*ne0s<$X%ZPLL*pjHBf7MH|xcaISsvMwnNX!!!i?40HP$`9!uaE4`(B*BCwc;{`zr zS8u*iIg1Y4E@%RU*>jv(xn4&Q@I96(u{x&VsIY}Ia496_ejY1Zixl!=?G_yCsu&|G zDx<=~al1_j8YTm(`H(nLgHm_0V<}Mr!VU!Pvtu@_4!Q;$cUjE*jLSD5G}E;JGIA_L zF{7%#*b2^g8~QnH8+)TJ3hQ~2I2N?O>&;%gXf1UbTMa&*BE z3FboYyWwJ*;FHALF0(Vaw;XSQ7^kLzRWmD6)`iF0?o~ z)ba0#b+{ksj0qx(Mj~B9wX;onTqAQ6)lQ-U94xoy7YSK4hEI2OuWohx8WZWArRzv} z0@{<&5eMG|JI2+|YTL!6t6Cg@r;~~_afWJ^Sb;k@=4i@SJEs{Y4dJGW(3>4ZuhUeU zk2AAm#dBg>1xh(?N>9Aw1~=Q!adO+ZLK1x?TE^W^ZXn<#%YYzoE7?Y=W6yrK*MIZu zw9vg?dB+c6`1DF6x(OEs4Nj+I&JuY?9&q(W@<8mVcx)3!ViVdvu8BdsdCvrKFS@L> zRdW8A_n{)bJB)X_g*^+cDM>gR+BrnSnw5#vB(0Lu`4`Q{b`(>9`166TQ*N z9j4EoEVT>d1)Mk{$mi-EGSHZ-(#*5Alw_}4DoE5?F>&r+GaP@*^Hwg_9MufQy$-5n zFbC-z0~>oFN5jj37=&QB7^^0mR@Ud`PQOT+r*r4Oy^P)!O&ATgo`qN5-bv zmdsP(*yk`GcAYPnDXPqtK?^pO_2Rab&yAJ^wrh4&V(8 z7IVU%G`8WJ6$=^(uBJF;0%qPoH1t1hC*3`iXbUDpg-g^OuL{K6_s8p~cxXC#&|{dk zI#)9p8ixhvy-4vX4=C@>Ka2b5!Kf4rt*mXArv_1`h59LFiL408YskcG4k{PV5f<5K zc4dZt8P;PEqp`ugB!GwdJ?Lje)w6SqtPI(~3vZaLS}01;HZ`wr{i)JVhT5b<*Az&E z$Pp&{LoF@GtrQ8?`I$;!H_sy$G&KOdosIl1xiiawZLf^K#YN>(0->`IA+rUQv#V@ZJ89(zO$6a0-)K|2dWx|LJ(7l@yQ*GI-McwC^lK zdD^=j{7CZ$y+5cwn* zi&t|dNbcrl59pJS@pA5NTdO|hpPYqx8M7FeTeJH1_@v!UQ4zLRTr;j9_a$(63p zKQ%C{?z$DZ&8;M_z5sYiO9qYLsgOP0HS>emVW89$*A2odH48%%Q6rptZAxb^av80+ z>K-T$jK4?~r=gp=t}%!ucsOHIrZNQyZ7Sg~qdx|o;|Zg2kE*%9cD6E`?0Pmf&1Pwh zoSHr@9pvT>yd|m?%SVJ_n=!0;OtSHZC{sE7IpSH)pk(Ktl&+fwJ}HZg(5S8J{29m3 zI#uayL*_pY%c(_0Rm+ZKM-Hg?fF$I=w*T zh+{yT)1=`7i~72fQwF#N4NI~5%J3+n#&EIAZz%U1t4sUdjCy0g1KIE>hsX{d6tLfu zVq(J$rZnt-K9b&^z)Q`3KXlZ(y2o;#4-?Ue02u;|f6RSpNq?Kp2_ zddkzuGG&XJI+@X=pp_Zp6Z_uSlsA&~cTQBFWv9X2VCk8dse?z1(xuwkuEQ?|8aAdV zXdzHyk+dh*XF<@6kF*ntzSqBntKm%Tk?*LSMkd;J*rpADwHlvxGzn^`+WBt0WHdJo zfiraI9c){s>wZrU1O6-JgHRZKD zmDsBmE2|Pj1oo9yR=;zG_3J|u`yDw&c@=r|7Rm7gI&&`fg*^5+ju4z{KtfA=l2sOe@!Wj3UxQ8O)tsZo)Y-Q&<9pRvPt zC&UXX>009uyN?Cqi!IcP?Y*{=1Xzm5Oqziend0k@cMMDvlY~gz@p-Izvt&m&t474m z=VwR`>M;{A?x~^nSg@k9$#^$Md96_igb)Hjj=iDa zwUxwmuEP-)gSJQU0_59W87OWk@of*D&-rfIbWpcyuTTqZo7Y)4-)6k2gaDr#8SP~9 zSctLz0aUBhlSu`+{IDGs0T3e#WWyX>x_LH^`eQN;H-i+W`oK1L%KP(}bSfGcq_rOD zTwGl}#)nHJGd0QSV?3#R+8`0o3|V5^8N%r7y!I#Mn&AfQlq9!JVeL46-!Wd|QY422 zLhHf4sp~L-aiu51Y<1Io}BNFB4EcW?|H`m~pc=X@hCJjDDDV-gXEf5gHM+MPwa_p(h8H_do7qnEXeJsijW751bKVl zu_|XEtoKoG}Gnbz5R9&8fM#o96{ZXjou-uxymx6xacW@S4b9 zpc*aif|feAU(~8LlypCX3cI2p#2ykY>#Z#zfHCDSjIs>b45gX^I55g|sJkyMgj;x5 zmZfl{;<5>eT@QF?c(rhOBJefli^5lzlN6_{@@}jZD17-QI1*j+uvoo2m8EwDfZ* z%Pvy!@A7|6hQ?Z3q6MntcQ;c5K}}xqP_M?qV;mO;{N-1=mm3Dw;u-daU4@->xa2f( z#tT+1{O-lU6?WyTa^zloA*&$GOiK?m^6^^&hsy04T3O%u^K4Jiuv9ZKrJKq_!q^1b z-a@*&&pRf0bf?6vlEz4*0g*SZ7*ayrsS$@oMlSn~0+n2YqP-LoL`&Yw4cl{!W47Eh z0NB-)4tCC;8M06g*M<4bj-k_OYDYzvpmyc`UR0zh1A}=K-DBBKCvBy!!v>`}v=wT* z!XwN2OjkT2H|3>pLRJzQ*``yB8?TraMoX2jX9GQwcX^_8Lb~_r5mJiB? zZazOKQQ?JCJ8)heR<3#Z_iU`xUW->5WdR*t5(hZxb%f~ZD?1sS9V$Lr1bL4Ol*{!T z6u8hf6d8@4SUL3Xb4?}+Mq@He-}I8CtS@p9P$Tv$oKPbg5h|MGv|uIYKYBYwre-n4 zp=*{~oI`{GSJ;Gdx$xFS^28?^jdE24X`lRlzWH)3<|gB)H`5@y!!&k~B*{G&G1xAm zc>)i~T^%Hr-~3u}EMLxGh?)CAL9 z=Y)~`%i&$DZW_&udM1BR=(rbLzt)ppd%7+)r&G&=hJ3WS6lRJ7G71d%fedz z-Ta;+Y-5FX*f*BbuS%}MLq`LQ!v36;E~Tz5B>;BXR>^Fb%`_GU3j4Kd4HCV0b+PZ; zS)ai9RC9{B`~bLUaekH2E*vcMdT`?J7kG|MiD`c7xpG#zHsKB6iMr+T2j;7?KLD{6 z*kH;!kiy>5Dyz0KAIy>@rAkY8jT3WqPACZaZsOJQKmx(S)iQm~4PWoITWT|5uVSWj z>YUz5sEJZ#oNd&NmcgLls21_2)E9Vs#Kpf*i1&{SiNL4Om(N%(w0K++E9lF~xwxvf zmaL!_qRZ9FOB&?R*?^}s?4K0oeb<|h7n7GahE4dp3zTve&K9Qddtif{JI! zXJY4~M=*sx3*LlrEGo@MEt1FTFv*Da;I*=$_F6()xFn4N5>iFh4&A+4^-dWoJoU2?6KZ}KHVu9U*64Xj z9wa**MrnCQP@OosfzzQ%@76Jjrwm_qa^Z;yUbfrE-ke1{!hYVCzmW_;&%vyScjLK& zxsFjR228qh67N^sqS@NF84t$~x694m_^?0Zx01^0NRxTFRkdDGAYr zc3>OAN|ZTO&ft;;IHV3w8XFVC)F#x*-FBGCI)Zy?csdWYGw z^X2gE37b~@ga)F`g?u7e;ps*dJX-xU%mzp{K}4~g4~RXqB7W!MBr|y5Ppj%eI|%k7n~pF*0aseUR}WH-6}R0>Up?ylx}!ArfX-phlOqe z6plJWkFx0Imtq;`VFa%p<{h1d&VdS@=4rr(t~8ma)`8W6Pb3FQ*W;GJ5Q3r->Fv^%@H)jX3&QQ;1DPsP%#;c@^^2M!2OKqq8(KtYLR3~Gu z{s!3hac@3oo*^>QQ*O7uo-(QBtWg}a^xRhl$#U?y0`koM)JWOA-p}T|J^9x)J_6Cw47ID| zgQ;vco2TQ&u?Aa?t0#r(fREg`Wk}=$Zee1`SCFbIdxHVX5^k*{r_Wf{qg5O6EcQ};e~*U=PJxv7}x9Dac?RPrI& zk_t^TfWPWV5=VnsmB|g1eWlcQZZJgrw&zer(Fm`|Oy5g`TrLBWZb2i-(!<@k296}t z+e8eEgoZvxWLW9cbnWvd_p=GA4=lIK5c`~3Lr$M`58PFEny(YM4pRSBlj=Ty+i#M> zxX?ieA$L^q$~%e%4J(R|#;JAU9e840ng><50te21(wg za6?`3bIDrqTSi({9<)T0t!$pnGv5x# z^lfV;6*nw{aLRZJPNHFIzUD{5>

    =-Vx_RF?oa&5wPpCiOqaWHO#;&g*HZl(~Ihu zSH#7kor={8JH1d_$Y?K#q7MDehH5l);X4OWWV`hEMAB|vgFn?}u`Y}2u&Dlm3`8Pc zl7=R*kNcIoD<)*nVK*Xdz9oWsu$jvUu$~j{vcZAZl!hHdGH%&wv1hZoSuK{`SUk37 z`%0dZ@^ScA$6`aEcba76h1;})2;}5OSm`qN5$Lf9wL=*G8`J9A_^or0gP$WJ;gr zz*wRE=xx3`s+Dl#s5E~Do$-{FonCzN(nJ|Ro$b{lm(6pu@9&M^T=z}^Z%t%>qzLn2 zqF(O!L_}!Wi8^y;cS`5L;**v1+{QhCwogxjbHXWU_Lf^LVRHF)Qybgqy~Ei;`*Bk~ zm;oste1;#MV;*n4>{%dM<2jJG97;pjMsL`kZ8I&`BT!kix7UxHDc+_G*JJcPGC&sV zPho7AtgO!$gUnKQQ-oI(=R`^SFvypXrZ@Q+VI`ezBaWGq-ZgpCYX@;bdcsUQ{bW}$ z%^^p1Aq!Mt_Uw__0-3_z=sVd$qZbTqIq*2O3{&d; zsfZ?Hgn7N{>d`DB!1M*Qkg?k!m>J8kgsZZ^Yh@l^?Ke)Qyw=4l#Nc+ilfxfXaJ9uN zxBk?@HoN|?cQ|vehumOtzfF=A6w}2;7eTy!7t+1eMS}sJ0GZPgeA@G|^R!N$VTp6!vA@)~>hecR5>*zsYxriR$krNt(^D4>R zsGTNLoi0z~u)(m2q^9e0gKl=@;2sBlRyP1doC&SyT}C~7rLJI1KoX<4A{_)bA{Cth&)GQddW z$eHFP%oYMzwu&Jb?wmfk_&&X`bX)F`_z1oWB28J^ZB(5jwwnT6KD+j9xcMWh`rcLe zd{ivILZLS6bS*maVme2(x7ZCeD`I#Uhe`4&v?lNgUz;yUCkx0LpJ)hx}pwca0wmI=gd z3oR}b9yy^XVgO-4p1$@Cy9 zB(k^xATA?@A_vk6YB833DrR}aFqDe*J({UUQR7Q;T5NOTbyjAVqZ=)^=0InUwU%%MN8J z_xZBdj7pR~b>UN@A7b8hOcw|%#E zoqXXohhHj`ymOpWXk<>mGj9iIC&4FI)^^59++-ixp>J6dIiUY`CQ?h!ftmpqX>_SgsyBL!WvknFadqpO3( zGHd3apUxfEw8~Mu{~HMX%;i~d9xjL>x!74!w{cRAM1-qo7&RgpGn$WwV!dltHu50Y>B9sjK`WtQ4TMr2xVE4B~^7QH(c6D zly&`{<>i|g9%+yWixhRNg;5OhAF36l?dNXxak=S#KS^F^g@ZnWnMf4oB4)?ylX_yS zs2RZMA1A5e9sNH2*o^Z>z~85g8BkV*E%~yEWf4ohx8!)c1ZeW_#pWY0DXmvXRocR> z`co{CN3x9<{ljdiK!$s|fK1%z-?Tnn&QJ0D@ZV0IEgzb-liO}c2a7>G&U88uE4qYbY})s{b;8TV<@g`OqXyrw&e;oU{piOh2=)vZH$y1M~16v@ArffGtxP5=z< z3sC$%DB9Rf{j>KjtD|xxRTlkQN+|8uwM@LfXDlptHkP61VH@vjd;e=xYp{Ou%%rWw z`@B)!ivh9!$Z}Jdc2fUIEI-SeA_R3BFYS?y7lYiKl&$;ZZ`6TK z5EHxv)4Od^E?+T9Pqsoq?U#WE)sg$zRZ`S={N7JfWh#kb`;9@Nk})O6UM7a3I2zXw z!O&j{tvC->Ri~7mvJjij7o1{h|0sgSULv{3kMS?Xu~CBbkNJNKRDp80_aoj%s3^q7 z(*C-tc~CJSQqxjk1aGBmfippqg@Lf&VlBsP+PX2fEieqT>b7@Gz9tWVHcPC0Xi+mm zk|rd48P#1jX!GXJ*bpBAdru0p)u;5>1WM=+7qyQs^;;S0gLJZ57 z#T18kD3oEO-g5k`#IB*_#tGMl_t^nai%}@?qQT0@kBfe3oKz8gD|zp}**NyWH`D23 z_+eN-tyRu`WUb2u9|cuz-P)HDBjB1T5YDk9*CQ-YDcY?R9$l!mhd17WY(J1giZqy9 zLXLeh-`cF9cc1WV`V;?s^#-vH6{B)ETsMjT1h z^B)cft&-xrKj~mAWD_qGE2k)36}Hn6=ClrFk((2cH*A-XV|wL<=8lKdW6wzO%u;*l z%uaq^bk`^&8e254U;=dkG;?kS15eh|{Vji0 z<#frR`o8f_BwcKr=HGYmQ09)J!!<%p;8rWwW z_eVvfwwhSd^?HfSs?8@-^Zf^VH??sfmnbo9E!A0x_5M{{X|ikfFE4zcBNu3PoP9FN z&f8RT2hDm@rzeG0i#+9R*K3gOZ{4K6S{>E*N(+TqPt;%H_uOhGUoGisPcTx)B!)k+ zZAr=49YLgGZ_R5W=dT^^4VB{_{_dE0PwBq9^eNwxYw-u`N+zfy9b!hT%3AiK7eNcM zRH`$A;H71A{eAX!RY<-5bu0Z7z3a5Z(xG1MVNoNTfx5X^xA*RM%MbtAKubN(wKpY~ ztD!v|hWbxzr%OfC!iv9PeD)n*SBC%jky07=pDGpU6u)lg6{(wcQdjqH^uKPCO7%*I za$ksBX{bi+VF`72kIVPfLh;xDN0<1Mkj0B3D-le&wS(GU4x@8QepDI#A18&@e(``- zc>WQGDM5~H(d@N%8N(OApGQ=>pxmcsTQJ+$+N~8=#j7*$#e`NYD~=Rt6?hxFR`A~} z0%$4Sc%M{>eei#;^j7v{`zhfoI6;@^vL8@ z2d1Cc-r$Is_(Tn~n0Zn(o3Fv-uEewh*s$on{^`26Oi|>QrMQ`x8L6H(8hE3^e$#%hUYaW zg|aTrtYr9Y^DPlct(vbu(xg@wi)YWEqFarDU#s)!wUp&-ME?L3ggaS}+eAYY}WPIQY$& zsaR;7Vek?dvizy%?Q6(X_yQVuv-D?2Kc(J$kUDHYFo-8^l8ZZ0Kkgq?Ws!*hdCJeK z%&S80sD6qXH;FBl1IIVQB~`oS`1u&Wda+>x{JKT8>bB@GT=Qw zzVY$^?T|iGxe?jZC+Xj^;x`@N9P{Yy29>JMXY`kF%#^Mn9!zc|?G?};DofZU)qeka z9d0qC+?$9nM1+YDO8o8Gm=^jvOSRI77syLPVi$`Mn2CGyGG+HbK+!9Cah}qCZsg2h z`B0z)Ya8h96FCY*c4(8Uy4tMMkrTd1MSVp&Cl!w&ZMhwvS7OoM-qonusX3R9X zF+EKi{hvQq_kDcVd;wFsexAC{}mHJt~e@k`7hTRkOovP#y1LK^A z$c8mUIU>-;etpbnIulb;F@(|kb<4}cT~^{O7J$814~(yB*!_~rVi)7MWleRiEB-*9 z#!+2V!6s^n?GGzX3uXiC6NE6Jm4um_N`&j{&Y%9E@7?WnHt=bCdO2e=9B#a7b;2w& zk7RNF`@W;6d5?S@??`8h0 z*JHw_>e!n0v>aYm(8Inyt**m~zQ56|NSGORtvM8-4)uIfFYmZQ?JQ)JCDMT=^Y;T2 zk-`8(8p=U&CAuJetlG7^v|W41V?*-9aO8t|OZFl?_FNN2-#6&j74Db$j;hM9ITxgt`u6!EI&5k3!}L<4p;PQTh?-2^$vjl@*Qfi*B@?RT{tgLAHgzooAl8Ib zo0s@I*=&uE3@OHZZXR6bb4#z03yLs`ha^OhWCc7J|2jFyf=%%KV=v6<2M}UXslEKR zC-$i&Q*AHW{e-urkq|8-)2_1S&4qh`iI!MrkrBs=+`w9=Jgp-uh!wD;xt zhxTJ%e&{B>%v+#XiP;^|-d$f;+4*}b=l&Bo6$V(s=@%0q;e2;mK3mEaIq@EG}&wUpWefvIKC9x2Gs^$ z-WT2Dm}2P%Gyh)uN_XE=m)kDU1|;|%(mrox5_BGjQrQu0AFdl z@y`CW{PFL9`?x0Gza@=79RJjzL&h#-sr@DZRikDDM-00lpvm~|Q?4CP;^>Vqdet^d z?QegDE;Wf)ieF^aB7Two{E`~=#3}ap7pLWmd~yC0!v(VSxU2Y`K^|xyTK3Ht>)W00 z)pI_BFI#r_3t$%G>{GNh-r$c&)%i1ueetR*NNg4{)%1!?fJKJam$DYQPeP7Y7-?@D#C>6QcVGX%&{k0cfo{2jjcakIK`x1U(GDK=EW=&JKd?&JH#Q9a=iqMPY*_>nh znw<8Idf<-1e#+Yf!gnI;KE;a^w_dfs&LABsCGIaJ2YQgqDd|oN;RK@pYO|SA*JPl<1A{!F-XD!i8fSo->h%K8;n46=8p89-g1y_>>q$) zR;38JieTvrx?9x^dX!QGR`dyA}{HB~x=vlaL|(oXk#k+kypbW0}jJ$?CgGXq7X6KBrjZ8nEFRJD^ImG;HPu`oW782%13;z6hkFw;6QvT4X zXP?Eu-|cKQPzts|JU)c#+znVSfgQ ze(hGPqAr>q{`NraL_a4*p@&mNa8e+(B=`Z^X8vPK?koPwvCFiA-d?*uI$;RxB26%@ zg4LHg?rge$KG@mJ@h-l74fdl@3=roR5ox3G#E(o-lH7-yitRo7bzp1S0quSf2feV6 zpqSh|`f2BPOnv?Wt-wUq;g&_^5nju)ke?DDSOmL~D2FSUOyH>zEtmVZ`dH;zgf~m< z81G;YPvA)DCg6Ly*BUxx%M}p+?VWcol+zFQQ{1wAFccJk%zUsQxUP?nzl?Ynx=|#S`pYL*%nql%;|D7bZ(1?;;p>FIP z2A}@vjV&C4v>=p_J?8x~R}lXJ=fyQ=sTd_M28Cl9oUggGWiMY{@WI!t%2WbK&dcFH@Cmd#g|3b)kcHykkHik@H75=uO5jY-yUhiCm3QuN{BR+~mItmDup35~*jYGsa1SAPInv!Bq5 zZUR~vM1s*`eg}VfL;h@B27lS-zE^zn(fuse8=Dg(m558AY$>D#`w$hQF`2RPUt2fE z4hVkYl2*D=jJGr?Ri#9g)*TH0w+)i={7oqWRXP-$My*#S^miacaRwGbQvkVo*^Zd> zIRL`URo`L2K0vD&P<(}pBEcO_55G4~nfQ*0kD`dM?RR1iRb6@T?JP}EljR!Hdhm9u4zMWSS4H}3)Odymy;;+B(d zi`)OXG(2Hp%P)yE)HkH-5`+H3(5<9Id~EWafvt@W|CDmmK~?mw_R1LY z1>bxAJc6orw$?hS@Tb8bvOqg{C)GEL)E?lH<-fl> ztV|>vCtYKkf-8B<_*$S4ZP7b}_(ZwC&-`>J^LQ>yq_tds6&M!cspA{2$io&ee(Nc< zyCPF{y}oc+7ypH}-~1yvX;kvubpvwBgr>!B|Kr1lQ9|Sh=5oY)rGy!U9&#vPVE&#p z8fLdYZ%-BR_P@8$OYR))`}Th8^UH-gLF%A-^k2zBRbPtu1L?YdjKG>Hxmm|PvmX95 zw@4MkswDka@18vI^A~w0euS{vOT_OT0>k&x5@v|ME&64cKg~J`s!^O3Qw2A-oUF@H zWnm*U4SLS%*q#X9V$(OM0C=SFD^yw2UOKTSw#Bp4XIIYL1TA`+ve?&mMVvkQ8z+Wr zwCjEwJ0dIKKSPMQd2CQ3KDhCd9Fryn>Baw20KB77LTrrJv)8-G^2MzB0_W^sta)wq z*Q##?9Lb7*HQtz83B6Zi^P>DRB`+rW4t_|tOg&~#Dm6sV&wF?tU$uIpKB(P64Mh-luGRJ4EeOyF>6lC zaA?YNh9{HkZ)xweqyRPut=#NC{8KAeNNVxKi>+@*h1b|vL}jzz%&q4m&WMss*gbJ8 z=J(kOgZ1+FM-dkR00X`7J%w&wXdaz-!m!%#Fw|#po;zve5G@kZ&r^zV_R+t-zv!H5jPoefB$h{_4WbS{s~`ZQJ*_%kXG#X#Dp=k52mt$MO8#G#LbS}@TdKUt;Yw>t6U0oMu-tG8X^?38>h$p(B8Ib`*sxH#{0pt zrqRh7g<=QEXtX{r4wB6{Z+pGnw`5>dph)FI;d^&i$Lxcfsn|#q{CH0aE`cS9$SUi- z6^Oj2Z)=#a8=N7Lpd_1qCH<=4kQN%9u0I zoRuGc~Q=th$1XPJ9eRFp`~SGn-SLN;nnEMLE?#N;J2LyD(&aXNVO7LN><|AfnHF2yfd z1rMB5gy;@%EE>iK`HQ?cU#tk@I;u;Ms_Z7GT{g-SZy8F1rDhJ++caX+eb9?}qg9|$ z?StKo4m#zDJ8_6BNoCma(hd)+*0p(6QYW_zzHaxse)Gv;Vgc+%?7DQ-)3HZLn1t&( zmT)yEG`+5hZ70aBle`bSFR6MNF4kAdyLxFA_Fg4F>x0e=!h0fuD?2s%f`wLcD%0JM zmTN{fD~w425{FaNj;4pxtjBiD2{9*=z*LT^vMEt(c$u!AzW{?LxgR94vaZq z88hPTzR!})*-2>qNZH7`C%cbNNDQ%Lxd4wj8mScm+usa+TD8$_vgA`7S+Y^I70MLPJEx=wdfP*6Zsl>}?QoQLaO8`cx0UxxDD4(hhob zWmZce!jC{;ne1*q2P&FQkd2*|hNDtY7t;W@b9YXbQfnphBXQ3tSpNWb&GFsTZ)hc5 z%}+N|ZhPi6U++GQ*f*&6*eTc($CzjfvoQA_y z8k?O@DX_)Hib#C)PA_fPVn>sj)FiS462^&LN|wZoG=yTBL>1T@`V!;(Z$D+_ z-yV0+q_{mr5WP!HeqjCdqa3_Mtsa=AN4mv{BahVr6A4SMAzH{jfxo@s&%b6H;JOr{ z^a-c2DA+Z?OaN1VMZ2rq#9uAcFj6qIzC5C=i`b&%H+eruJ8w%NL#A<2sAC&`?RMhZ zW-Jro3eH+=6@T=-;e~X1cez2KRPuZ46GVdJMk2 zmNZmSJ2Q_6m@tcdvAjwhy-+V*oYD}p!Xm4^JIhD=;zB%+Nt4oM#~XM($6058i79gX z7mXvX!kfiwmSVa|Jo2wYXf==LzP!MCAv(H=ig66H5&NiS@<7jnCq8!hz z(#}ReRw6ceLaJ49jZ}dD!)!$Ba@(4lYPx2QL)kD{@58JH!5!vxJxTPsg3QKIIoQbx z#)c&gq*AxDDc|ta>WFdIGt^3>#)R$RRIJaBw2^+L&dV% z?kREH8kr`Q7`Y`|bLPG2i;lk7Dp(82&UMyCr?;xKnBJn*iPpoOXOvQ(TIF@zv?vnc zxMW!oupw|e`5@hZS-VR8x|I)yCUR(CSBCbOraN)#qO04{k+qw|WbA2nS!8Gv{67>Efr$;^V15+#A2K;dY+&R`$u$dU~v)19Vx$^HNnJ!%Uyf ziD7v>BArMs=nUZ6lFurK^xz)dFDR>MbIv?_lCkCR-{*0u3fbF<3>{(YSu{^)~ zId$&Tj|X%}rqx7SLkDv^g7{<)JSzz~K#!2)eLYSYUX=W~qCUtf=RLU-}8j%=1;6I zpHktxyQs~@xLyePPcLwm-orB@^_M%jpeWrtbA=#XD(1@ZeACZaB#7Nf>SZ#wg|3pB z5R=A7D<$t-Z>9@I!l)Ver=Bps4&@=}bG{Jmg}0@p7rg9w54YNvV(V#dkV6*{n!Nep z9o35+LXOB)*J+96w{%w9lKCkYFZ5t`+oHOSU)LNrXU$Dj92Hs)h;$ORMa@i6SZq+( zdOlYUyRTB;FLl^2Sno9c<>$k~6)hl5uoHPJw6`FER63J&Q2R@`u32-@wH?Jl=NKK) zVsmbc)#JN^b>ST*5q+ZVtgPq8&M2X_@?FLI7bR&oue%1DK4ZH7@^V47l2ZH=4|rI2 zS#$ke7TbH=Djo{2&_Z1H9hE{G2LkkWubt6+AJ%#yRkCtBL)fb5M)x!Gh=sf(+nK35 zo-zgPb>>_Y^Xk%JuJ?v|Bu|uj@p{68iPqm8uiqWtD%C5Q?eNPeP@o(rBsf;;D$4!{ zkD|Oqnn!O~o^6ZA|vR@ce(!X!p$mu}3)EuSmMSFVSl{pRs4i&1LV3RMLv zG%IeSX{lqg!(2S+vy3$l@U7RiKb+Mp(m`0$aOox?HB$?o4+Xh=i1J!l-U?KqA$jm2 zz|FEQml}&x5P5xi+P|;~^QHN;u46PY=kVpN{2Uuh@z624^z-3^XPUwu2QA&*kI!dk zy7F4mw4U@8(p@Im;i`z-zT_M&qvx+heBH+EoJ@i)n1A%nYPzQ3d2B*a;gS~(L$Q90 z$HrN%2P8t6JEYAhoQE)(5OKg^=TP4%J-VT&4)OV&$Cg|(HX7F2r%x3)dG4T2)b9qp zn)5v6XDuWuY0>31QvO<%@PPwN1is2w2U99nG@#~5ytzav?X&Uxggf#A&Wg?fskrj0 zEwFl`-kSO})z*=i0kyu|L~WK!3KUWi7W8wj1UZ9B#Y@`r_$CpJM0{Q&W16qHZ<^Lr z*0YId%!qjob-lUrperl;Q0n-$QLXtiU2nsnI>rSrWl~M2C5w=`7xc{4Y{y7A5%2>r zUz+>=RuOt+_n5FYmRxja8g@J+NDPW&cKIY~DhxAryWH(JPCO$k3bT$#v^i^O9xpdC z)zqXx*B2{2+b%X2G>Idw``}43N&iFyjZRbN^JNh}c5s8Ye&s|1sd4#7Lc(N6miz`h zA=UWXmx6_l9X`K#`PJsJbFPd#v6=(*K4TXH4Tt4kl@naVOQ#FlnLaeNC8Qc&xGHl0 zjujmNC7pU@b_z2ls7gycN4+rdmYAWp=Q$>vCzmnT1YAhfI^9tIRAgCF-DQN`l^(Jy zU#45TsY@e06`NX={0DsajcP&#k)*XZDy~Y)T=(#jPPMABE-7U>bc^(hEQ8rm`$JeK17t6C!S_Ci;tY7NQ&x)1w#|)%xZB zQ#R~%cpA-t>j4aY75PgKPxW~ktAu{AWZC$vo5B5l(Q*CuO}%jj(a(bRrbv}J!&X8$ z|5vEXv)BZ?N~^;2&rOa!KC^+HCQHar!YWkb(V?H{ew<^$2pZjBuxBAVaGCd{OdiYg z21C00U%ccD1w}P8?ayT&kqMH@L+6uC42x5xi`n6twj=zWBkBma4yj?W6I7WSBHf*^ zkI6Qlk30(EDzr%EIwz==fp)V_yL>(#E~x&=k9zuD$nA3GLi%ee6AR8h{OH32f;1B>#uk#dDLN?DRoJgDXL;!{G=18% zv3t?z4Axez!HKiKDL|n@0zSFtW24zQUt;AU9Xc_sA z@i6Yd?Z|>2vZ<(1X7^^HxuZ%->Igix~j6GtfZ(QF9(*Hniv}u5f&O65)uk1 zBqTUEC@?T!j{*aOfX!Xu+%;u4Zl(lRoERC02%vog|CQ-Jt@;P!;}RiqHotQ=T= zQAt^OMdcoY{9MpAJtG@dR9@Qz@9gR8>+SArZ*6X@uWx8gnz6?dk4BwzoAm z)K-=jMuzx%d$`~A4GfKpiHnPki3|@3^!N4haCLTabaZld^|lY9h92yZFn~5FSkByFk1P93tQfYDuga_y`7nYX~N#r}GJXl^~S#?u;cRw0Ei0VePHZ?Z2 zcA!S479Tu%^l)i<6oqK2E`zYAC&$SiXFNbf$04e8&C<@n&dSt4S5re%Q}c?N%0(q5 zWmRnhQ!6`X4#EBOveS}NGK=ba#vg9I|NQy=%eC1dWL+sNBRMYI&-N-hL6`5Ss9{)M zLq~TYD17(Kq{=< z;%aZMec_C-sFcE$YbKV~Hnui*?$|nd_ytGC0&_}CNJxkWHWnEg=}Gsf(qvMbMf;Y6S-_=ZK|VX<`Lj$Z>XcCaZ#Lyk(Q2$^Mt6> z`OCUSrbb%wCz+}DQ5|MKDIs_Myu89C4PAXBa~o$@$J-_b`o>lcF3yg2cg*y3%={D5 z!msl(D}-AMFo{C9SqNjp3~7g&p|;zvY(pz!2W%dv_}Ob&Wf;n zY70;hk=6HzNK8)5YJEh(#KC=BSW;f;lJYrmA+htC21drFh8pLU%tK>+CGdzY#pZ?c zd(-D%uMQ}4FTOzeg7qj@aCqKv47n)WH|$&(Wz3gkzQxJx|R5mA@o zI&&v1EHFIB7q8|q7n6n49sk@mWL-gew6Cp&jwrjt9bcW#S}C#~lhwR#8Eq?s6!;q( z1e6r`Ux*0Sh88F|IH(B;2-d2746Fmf!ouUS>jvlNkcrm?sS31uA6@3ck_h_b7y1dY zT)Z0=3+ucOmeCX9Lv-Yy@yW^X-r;>ltE|Rm1;@N$Gq}K|7~9lVmS2Ntf+c6=7o?{a zwsg0a6e5BA#TM_pE2R((r;#NDgZafc<%n6x!7dzMeV*!_a{@x`MTB($`| zk9x}UORB0XOHwWHWwliE<~cn|29{Pw(&(=ioea*;i+0x|*=JRrd1)b|ndF>DbY^W| zKcaK;;Y58}Y;0mihTq{OhcN=yvzo^CLFqN^t(B#%W7AzZQAq_w6$sqQ`qQURo^HK) zPsYg2PDe@da=3M1JsH=U2R#-xSPtGDJwWcv_L~-p&k7|XX9Ep~JSqNDCSxH9w*T}i$ zEWK1}(DmCKT8>@;afJ=-U6{pZZ+BnKw-@E2`w+de&p+T35RgzEVqoFo=HwL?;W6~uv;djCfwxY6vf>~^&~56Y1_pNdb+Ms+_yi9(4oP0Q?hq0cqaj_XbM#Zq0 z4j&I1L=<{SDc*<*mgD4n85aRd&FPt3B4OiX6Vtc%4$mkquS4{p22ox8xS5%`)lUZw z?|;>(w_j9;p``U;JMyTJ+4)mk#AC!)!vbvmBHZmO2v1zpxvG8TvZDOi(2j)PnMs;RhRQYtLW3`ancX@aa7P;r4qvE_%Xw|430L zQ$u~bkc{f~4g{hpKRLg1upU;AYH5CZT-D@`t+l0*uKIa#F)@MTA|f>0;_??&d- zsO*|*;MjEF9zJ=FN3nlD&0+e(hYm3?GO@5SGP2Ooa0<|FJzGxLN8sOwZSQ~hX!+6V z{M5waTT*HU)?+96c%=02xZd@=>tSnpLtEkeMX4hM_;MCDH}$mj4Rtk5%w-PJu#omI z%g4gfQ!|od9B~rb!TeX`=%@&E-T4K4kV zqny0_Cr${QIwf#YNK{;0{H&aWkRUHBm&kGQ7le4Z6h^P;DTwy(KX8!b9T^k1;28z| zTh{jWRyOY5{z1S;aJL61k*bEK*nxvC?&jBTTsL(K4D_|tQdB&zbdHtDBq25+7M85W z{)))y2_bxT(>C*S^G4J2sm)_@eETWr_@z%!ACXd&laiK`mXei~RZu*CQAJ5fMNRe6 zB~^8GP2HvaCYJ6;bd`whSLQ-^2M_<07%)R8COdVRcyh|*Wp__Iq9Fvlm2wYs?jl{)7$Hhj)!~nM`G|1tCuqE*Wu~X4B!jRDgjPw( z2{AEY{-Lo6MV+e)qkWyN%`F|>?eO-_&YF_?&e=zpo{_;$)bgvfmA9|kEe?=ga6aIA zE;lVcJ2NIKC8wYe{3|Gg;+i7x3cTZd;If0bCJ(mvDLXAOCOQf@v%YujZrfP+gn$3>j!aES9cenP9zcmhXWohAgXF=XlSe{FDuRiVOJUmh@zsx zK@1R+VS_I2Y%V@(bZM=ND{o>{0wWqVF zp|Qcq$Ft~(sqXRJcQ2nUj0_B-C)ZwnCiwE^@%-Gg*N-1Rm>NNk3}bNE(UB4C2xb^P zFfcgSj{+RJyE{9O09Si^TWfP|MP&sDO<_O_8L5zMftakSxg3%!!C;1m(S!Z{02F}L(*;fg1iZDe zuD+(S90be-z@qYt3qefK+}&SQjGZ0?qhg1Kx;sJV?k><70dE1_YbwhMi?WJWKEB7p zBOoIs0nY@)yJLeh!x(hszznb>+&Fr82seS7f3Wpzc5;4xcID}dt&Nq1nYpD&%=FB} z-1Ow+*w`2ji@^*Hp$ESb1PibMp)Y(dK(DQAFf+99f+v6s;OYmK)z{tG z-PzTN=<4hMs_aG$pvSPd>6y8SxydffG;U96{iuQd!NK0Xo(_Phsky$ss&?Vi7Xkvj zhpVfL>+cEi*M_@0I(y6P;?YBxiHULS#N^b}^!&{H{l)3&smbZ7rM2bR>DjrNIotql zaR$g}a%ysFVtis82f-S{0`-kzfC9k-J&1;+2FweM9vU7R254qxrvWX@pnC_WCi+LF z#?h#eq5fesfZyHSg+#W4pnhm!W?}uw*u?lKx*xYR+SZ61>@Ri>tO4HR#PrM*V7@Rv zH$OKw2gzc7WpQ?Td}?BB4%dU7pP8MRnVp;huqFXi0DO9KVth}5*iq~l05*&TmOl(+ z2c9saW7zS@nYpP6+|&fBzpt!xV0^T<9fd)oF~fs<>V{-BFgD%^$Bg5q$I%T%HC^3J z^-V2^+O&MsBk1Abp;4gE(NVAtfTU-e!ZJJCs_I*sTYAtK43H!+ zC(IDQJ~lqkGl~U5pX{t^?&?9d*X9+KR1Qo}fVs>}Pt5={Gkekj6C3J64q*p};3deZ zxtW>y`K4u`xrGHFsM#q19Ktg`0n|JOIAcbJ02Z+F_6XA5;K1+*5Zowc6pbAy$ZSTn zRoAz-S2Yg;OBxykk71zZkr5zXU;vX7^TTxwogMA%<(b*h8KZMRs*ugjP6HWD11p-E z0`ng1=o%UAtFG=J7zVttlS|9XV6`pILyDUQ5}F(z$AJe9;29nPhK&Z=Ko3BQ7(neA z64)95w7!9&*g6EVqocFAy|tyMA2K&^d3YG8cND^m!-0tnH#Z=Gm1ia7geRgW#%5+_ zAPa`fV$TeLF2=|D;Qf=MAfwdUGd(pvjOy$fonKj)UR;0_3+!lWa&mGC*x5K1LNvT* z#}FQX2+-gF8VF%%c(8XMJEFDY0MzkT@kjS>4;W5bIAPWOK zKiJWL(gtda$_olhvSOo3(b#b?<|weuu~D#^0RfEyTr;yc%=pCg!raW%)cn%I#0avi zX>@jOc77h1(IWH!PYYlHfE@r@|9}N#Lcm!22ham(6cEzj&}c8J&^D*F65iK~Xm4u- zyK{3@btixU)(bEt2zn3D!O&1;a&AsWT6}zBNiUEd01A)-0*e9xV z5I8a*#X^{H6JW_f`|{HA{Rj6~SHRYT8wE_q!D0sz0<;JqLR-M>H#|UPU|9|H^#VTt z9O&)MEsag^rcOk2SIjBpnC6!9y4sqy){26h(%w<91)&G_&Ke{f4vv}fHgsu5bp_;F zg#nn|+WqEnoWhitX z1g5LI0|64jO|?~3MP+@+S~#MmDzC7qb6^6IQ8Uz!0!KDW%#h^(GZ+{Iit6d<>}p3KTiY7yYD+7Mi%N3} z3$sefBdG_hvSHPwdHGox8I>qhFRHt{1Gp+64-7nm!s5J)Mr3sp5?+;4jzSNQmL;{K zJ9@xrhV1Nue6H?}4g?$lHjU06^xTt|FCT+59*x2ER5tYVg4Uk?!6C3MLuV^wm(Z@< z3ue;S-P;2;HAFkSwW$T4dj6H8fTO z&!ZTYmy=XnQ&iIk68P=1MsU0an+q@bSSIrKM%1W#z?S7*M-O0V&|1*mU-K zm-Nu2NE5r1>axPJqSCSw(5JGzyd*z28&r1^6Jx>x1LI=d!s_95O+aq|3%ENcCo??* zr2j$fBq5T;|1;eIgzKGCVU8ELthnYo}!lLh)hdtfw(4M8O( z($6b6IEh-X}eS(4lgTi8C!@{CtqN5`M-JI_EnqLpj zOiKc_vh++C2*wJ5h3L7*JePvK{KGs# zQxlRBViMxwlRy{=g_YnD2jcp`z>x5$=!6_7yerHHmASO!cqqIM4-JMW2n2RsZca`v zZa)4XG7bSn3%`3#Hug8p>4(RKh5@h<(Fsri58@sd8ygG##KeN?PdJ!FAgEx4hlPfR zM}V4EU|_hvSD*opL5Qc1zms1$6kCI-hJe~bC@5=%hlPbXSX*1$IC%v{#V01l$AKsw z%swO-gyg1*9`3Hrjy4v?*Yyny3_-fU#?IQx!o=I-k5eb?ijpQo#*lbibm-dhnqw)U2`p5CCa z~?&jj^>E`63eMRlEs^)boS5J4hyFT6?&JMP>Zkk!z*jkyJ7#is7>ga%U znv%SnoSeLZg1o$fvWlv@n%WiZYu9uQEUlqFW_FeuO4@fk+(2Q#&e74{(f*E&osGSN z%^gr{G0@Y~*V6+T9iy9;mN!i;&2Ly3ag)mXc-*{pBOh^cFyOcE4 zR8&;dG}M%2q(q-yz9Kk4&%|)(;Gu&D_V1_MM@~#gL`+IfPEK|35Ir+9GaDBd?Ki-U`o4}27m zV1idOUOvaiD6|b`4-gaZ|H%6N7!|;a&uy zXK-v92YH(PBh!obm!?L6<1jiszw&rWp{4)&w0%tx4+8R-sEQBsnVl7g6%n3x2-Qc}}%Fbzw)6A2upVPIikVx^}f z{`_*|@dI!qPGS1{x)5EKM%PSj?ChOfJ;AE+3yq174)F)}7!sS36cqvLSYXYkq$PpH z5*Za8o19+*@53!Ve7yPU?e1rMe2~cAe~6i#o%IMKD<>B_E8{^*3Nlh+0(^WzB2e8R zB*fc&{rt)Lv)8YlJ$=5l^=kXgM>72S%R#T{_kAWHc)j)Z39b)b28xKO@o|xXzP_%O z7CWz2msa2Jqb7b0(s5EUXHIaiai5fsS5lA?78XB!ob?E|q?)?)34ZYlm(?z-8@mR@ zWR=%9xA&k>gV=HGFlOe-dwjf4A3os|5)@y&PGjLeDmFYhnS4Yt+5qJ6C{pAi*2O2@!RLqWW|@k~^>7jLa`fluGw zD>y1PKC5wZb8}{35IBd6FSceo8r$08jm4=k38@8r+f;|>j|$4`SUP+AgEDwzToP25 z?F4_+ZR7F%g~jEiX$%TkUzna48yOY`B?iMm7pS-&9SL?Qu<7Mj)zl(->r-Nj5#7l4 z#=^u<2W4(byw~d!$foAn6tjbg4rIIBv>wk3>YC8^Cs9v@@5KkJ(Nl}s#bsruhN^GM z>|P4Kewft{%cQ8KAf@S@R57r+LqNqYDtAswn4gP{=ggJc{&BhGRZtEmJ0Z;9!`@s^ z;W!Pje!@=#RIDeZF31WU;}@4cb6Q^8$lMleL19TbdAXShA#TRXr`QgYZ*=FmP_R}R zu|9S;j`Tby9#ff9T9xH*<>>2jnQ0-#-8WVtbcUC$CiH~Zcny2z7ZD|n!u{o1IXU|9 z16@a)JBT@@wC%i|^khUN6twRI#b&_qMNHgXZr?PwxM^yvBh60vWhU*^13Y$K9!3B7 za2JQ5n5Y0pGb5io%u_sSp0mnoSFWgElomKbI1s{~VsBg&!s|_YJJ8c5vU2z-2{q~B z{kDeo)`F9;l`dqC?0z$cMK9@@xF@VBt9DXA*)2Y=tg5kdcpTeRksRb`tfg*nH?h18(U2c=*FgFx9xBe6HF}~Nt*%|1l-lL1l=l9VQ*8BBpchj6v(*dM$ zo|kmGxgOEenjh&K5C^NQt0}v3)!5p}#pcGPvl17sdxR&$s{0-i9p*g7PV*LBl9tml z_hBEXPq1+xKXIIk`4AO32_XRyISm67Jr&{B%G}K4FtQ>eHYzR^SZPL5bZCI*og3;G zWaShtYXW{M=g*3rqZ|&%9%QRs+;{WutLquG3NI+0nR8&|{P-s+4_}yy~ zT&!F|(n^>WJkAeitNN-DJQDJ#g@7Urx2hRzS zvtTw?^$kreZ5+VS?__`brh$f{ln@^`7tisNq7t%7>eozf+q<{{a&>Wbu(@Sscuhw` z_2M}Rfuq!TtJppic6sXy5h*DN5g|U_=iS#&R~JD-3uI*Gr?Dt_RepL>VoFv)8E_)Y z%gU=8TH0C~YO3oI!;72S@7`=I;f98A_g@oH9X`U!CL=8^r=X&xZ){<02V5?9cULFq zTQ1tFO6SkX$zQm5Swq*r*!;GglbfgaJzqaRUms5}Q!^udT@4j^aXzMfA0Ew2%x`?5 zpkv|S;$S&UMe<>D86*j(m)Bo`udnRBcsMzLY-w)m0w*HKV2xu2!OlK1x%A`>m;f0m z!Mi8(Vy9%XgpfzI=G|^ugRDZhUrS^Bq13IXM~Ohi6MT^x){?D-t?x(Q}uz zuU$7XHa0OeH8Z!gx?}6$~A&zw5Oa)<(dYh`k{AB7%U*w`iBe~9TQ2Nx$e_Gu^x-)$_7521Sd2C=iNFFp{G zQ68YCrrJkJ_+{ti=9BgHjm_sDzefI&6kc^6s_1Gy1`Ab)H^=}vgIA&%y%`I

    OaN64>x9EpOej`cAiQSz20HnBTl6;Vr*<|WMpV) zcmoJX|C-)aU4TjL@+Bn&c{ypxGh)K0PM+Z7<>BJwU}rnJM{I2D9GqO-JjZ|&2Dz02 z0w=!`c(?aKQ1FzHu&9_gD6q?(JFj^0(q*+Pn%cU0|6_k1QWvVx{7rvL;BN{1cO(GP zS-+$I4yQjiYG+4>H2BKHcaj06h2PMh8|6RL3vdQtK(0Vm2Glr^2pNc=YR5m&e~8_` z7zQxyKtgEbWcLts00NKz9zg$Zh4htM2hh@YI2}j`2~tK@MjE_)#q=wve=)P~&Hs*A zJ7r||cy<6Z5Ew{0U*AJE1bzI~n4n%?dHfboC&)~HqrK*Tg69`_Kby|C`#SeHeg*RF zS^BHeesgW_0{{*o|IYF&U%>oV1ix_n;Y|maFqq;`njlzv*g^Ffd?i2@EFPKPbN%Bh z0MidcL*slM@kapQy9wVE4CE>E%VfVBdO`$|8wfw}$yXiqY~Bd|hc zAd!5fABTku0Ro8p@t$w9gQWOV2wyLL1M-`fZ{1~~(SC#iX%I61vwJJx8;qZi4lUdc z*>CF?8V3o@ZV%=UM)IBO9>a6r*!~33UW@E^g8`uS=Gg%u_*Ed#r{9_6w=uyBP$Xyu zma>NdT1!8L@{3~5eZ}(=G~ZePpkL(!#{5Of-xTz7!F&Y-M*W6tuk-i!zoPvaThRKm z%fBE7?J{2lBQ5;{oL>k1-Mc*)Uw@$IKS2BkjDOa&w>SN;BxV0#eg5qJU*+>#%>ShC zPcQ!tAgC6_D&-yz{@+9YO@@>%TSrzd7#zgtj2;^78Wk<`n*0 zxBXAy`F{=Oe@Yzy%y;^4Df=&sy9Wi>>;I0;{-Uh^xi$0`#QJyFza{Xu1pb!5-xBx_ zN#NfN3;sjwe=^MfjI;R-+uwM8qNE=#{VktAme1dYLpSk#Jiu2F({-Zts z3`qKe^22Y_?Z0HY|KZIa4fTJ~_A3_|Y3O&ckkWf~%HN{`)ux{`{7KG#PTqT1WZI-5 zBzyF=u<)(Cuy;ioDl(h}zupSs#c|MB|oI{i3_J@j7-Dtkb{*T29tzRqEf8PpjG)lq&!-%40tIeyJ=Lu~%x-EW(} z@vij4{e`?HcsK28Bwch#@ zOh4lb{Z=jbHPvtQ_0vzDe|GCXyY?H@|E$yA^`9{Me(8@}f4T7whySaMe*ouCHht&# z!z}(Ph<_!RKZ#_o+c)07-twox{CN8xsp+qv`3C3bxBM2_F9!L8G=Ayv^8x<))gM^? z_U3=U@=N3Ir1#f({;NBF$Kp2^{?*-oxBn#x{2vp<%c*!?%$tLDBn-1fV`F05{yMhJ ziEVpgbZlp0cWh0}j?IZ}dtxW|e~i1I;jCJf_ozhXB;=d z8jGs^(wiVoT@~#qF5!4roz}PhS`-ZcHa>gt^wY*DR^=Yoh%^%gp}Bc#hkws996W6X z>T<*EiiU4OomBH!P7ZduZYjgLi^D-u<<(SOnqmtwc296l7}DQ>@Uwm)Vy~Yf$-*LV zcJFyOk`8I*f74X=HU3BvPrz!Q_Q6@{tAuDi)5L*dD?Lc_bdNaD#wqH*lw;;01)IUo z<-L6e$yQ{N_Yv(S;NkJ696bpRxhj(BHv8t_MVz^=I$)LyCfS`A9_%fdDy{@TMa3v5 zjon?}ehWP#&YEc9%U$|&uF*^wWnA&-$@$neRG8p0raK7`gEOi5O6Ws*nni^vdZN~ox?&}y8G*x|dsxjW z<*HbovR~chctp)1Xs!u+dxnO6OjB4-lqHUf^wO>n``8WZUGNRH#-@Vkp%DiqsAoH9 zFv7Rk=;bEG)I>`*k`}dyl~XsGp`=Xxk=xx?Z&x5QduB;{)gP@VJ|lW;H|A- z*vbU%_w6}(YLnft8=fY&vdi`av@&0chEIY{e9hnk3eY9wv_jGnhCXUp0$uJp+8PGT@lJ?98d= zkcj3ukyHa>blK2MW9Cwb9P3^CB%#(3q}L zcvGf;ABx+gfyPhWF;m6>cq|`H3^(3W#BPX&#Ita+>`kF z`Zzn5eB0xeNDPv}pZe6Posfw#&CdT=urtZ=5;D==L#nhYshO$hO!nnHVBx&33orsv z&==Odfy|ZzW%xncZzB?JP9W_<=^1#%2LzrBUG{Rgo8?xyh%{hjIa7wD8^~AbbZ`p1@oRJZY;A}}JNuESB z23%kO@~LLiyQqINE-a~2wyQX6NMC2Pqb4sBj&UQ6%QR!9Gb_UrN5%|s4@h%wSVu%Z zhZj1}a;LR1sj21Z%c+^(8GR0|5uN2zoe{mQdAdBBeEMVd`fd&BWQ=*5D&BSTo{1_Z z=vGTkJS-%k2stXVBy5Hv#TLr8>bEx z`AD!xWtvGLq_)2RaeXxI*w`N)T!^NLF#8LqTF6Bh8 zSbfky#?iBM?VqM`}Ip(%H$UBQ{a??Am@wt@bM)l@xI#etrFmoP81Z$nieU z%BXH83tz=-VUwyj411VNuW;!m4!s_eo%SeMg}o_t>@ZE6Ndqh5@iG%WO=xy{1OzAc zNVH8k9A)h`%Kh|yfsJS}b?ND2-$&90xd%e%H9G_R)(`2Lvn7L`#Zu~hh==X$#KK2(e{^iCg-i z?a~+gcW2@@=Q|a`#^W{x;!~E1=)olvN}pnzj85Sj6~wY|XLnQ&R0kH9PTDg`IH;>) zQPVN$*&rx#BTbTm`sN0$y(ZHQEcdmeocumv;V(RVHK5o@wKk*Wwwgr^SNO1!(@pNx z^0W9($nM`x1~DDazFw;Yr!TmXps0uXX7V7!R~HwGEq-Qm1SX5ZjfCy4kK)zBb66>= zN5bt=?t%bC{bmO-HP>`Z2$3jdeLdK z6rFBls8vrwas%H+q=KiBkD{f!XDz{M_!V~XxLv>Q$JOHpI$Npq%N=PIGu)T*z4JD1h3f*i<9I~FvSD5ZSUVQ+uIEA`zt z@}f+m9@pdh$gW3Udw<1F9W`D&!O!`Kxn^dO;(V*Oqe6{J{-|{ZFT|EhlewK|iEHUR;r6`At9=E;jx$N}6)yxyR(lGb9^q_uk|NQ^<3h14=tS|~ zCyw{W0=E;-m_s~#CUCWdK7O~*1*G8(A_!cgNEdV*hhS%1#ASnTk1e7yDQkz{;*xHlYjZhIiv9C21>d5XODb}Q% zEIcN0$ZnOKO$*=6k8s-3<+@~>yV6+kNUd?xYzZ~ifsN9OfFg=}cZIGVH~u*IPF}NJ zdlTgjw~+KZ<|*}6vlEa9R0!ovp1!*=c3R>H=VjBO*17)PI?qj~6*PF1>^xc#W+r&y zShL2+=;9)`K#NSEX|=R4kDHK(K}19yez*X<6gd`AD^`R0e#hq52A>T;-*Ouk7vKfG zS6n$fp4HE>vqYZ+->n)1Pl~yv-(RXbpPkF648lXom>UpgQE@BQbnNti_fsqKXT+Y8 z%CKoZ=U}2sJ<+o`x%3zmTZfH0uQS5wN*syz+cjsZaGOAG1?gs1(r$^N2iAl1WM=?& z5X{6yr{7DOcjdVo*w!}e0@y(Yms{-VsBN#hK#+m8)p1%-xzzgh4E7$-i@Y-R^RXn0jsRcWHa zPk9N;JV6nP>`0p0it&OKkzecKchxf7sdg9DZ$1uyZ!zsAeKH^G6?o@Bh(f~nR@7*Q z*$S*H6P?8cjcRD(=Jon7^=#-<(?S&D2KVR#(q|o7wt~v+19cq@4$9Pro*p&G;A&L= zV(m(N0*gL4OiN2Aamg+l+?j0L1}VeYfHyU!?1M$wVG@LnH-#FH8JwbUhN8GOTiv$8LEv!EYXJyNa2b}H{M?=$gZW>U_JHy<9(RoDWTY_9qBBa)h zmWfPaU3Md6%nG#eW%#sQQh*5B%l?Yf@E&WFFvK0P&DEEO!;S=jXG8aPcDrl9*Og=@ zu7LR2t_NshjK(1QavVkXnuP`SF~YcLCP?3{^Y~dF-y;A>zAYZbNo57DQmxxR=5^t9A{g(C#J@EpvdDk53&A{5j`%q7&UQrsSbG+g!&c09J$DB zvwX*stVFS*?mgEqvS6WZ^{SL2OgaPw7NTbD>8hxLjm+y*(l2GEng zX?=J~Xg9ld_LP2bpU~JKXPDj9Q)1jnc4BqVb--ZkGM|olhPY4W3Gc^yTEanEKBe%2 zEbR(_D!ke{${y`yNw_2kSR-D1&2i3vO*}(74M(F%Y+Rghw(`*GD0r?XHqB$za6eJt zNC?y2Sgbk8&V6oI3U4dkl#gh*YTbZ1qh|ktgv+Y>hkUtum1DccFhfbwSIm7>mk zgB?MKJ0AlHxVCGm@z=xQSQhnH?=Sk(huu?LZZ-PE|Zyxcg8iz$2JZ63k0`o1cYFA<* zCqGt~Q(2T-SqBkm1!Nh~KNL@=2C#Xp$#K`^?3JrDP8do@RXOS|9m|vN^D?2kKkHXO zgrD?YbRr%!GIUC9!e#s=ev6mvFIVO<%BX0q1WIlzpEOQvm zc2%dH5EJoqr(wT1j$+LU`A1?TG;BMi#8fLtI3Hc0ajP7Yz{N$c+54#;|>vHcv zq$Y0H(JUBVW3*eKI-EmscTC1i<=hHf&e*$?KU*GCdN|Nwi3v3Gwf5P^_;QuAL&}>; zY!ei^6l0*TXwcYQ`rP){xtWAj?)y}L@Bk~Dh>UIzoA#4Yuu`s48P|By(z({Gt%Gaf z*rJ^0oa+EgUX!dGBozHVdq9tjfA2H9+8rL(ceZ312EW}r$+W8I9FRj<~z zWzRmOWKuh7jjityP55{e01L~o6BhboeE*&8Jd?Y~Xm5B|(d;&Q;sBtY{T$h7Na}6F(!J zFUJo@jzOK=wp$L@3PqqrmbMAz+m4N##M!0mN4NK32ez~)e9?(xbfw94=$~-a2PJV? zy8#G|kV*+DY?RXCP6||SL2@yN?AiiD0p>VX6niTeUPVNo*j28HbG5P6)NI)`k>(3+ZF zY~#?$?TfU^A3aoXsEE#0GoZ!iAtUh(41JA&aD{r@U-wH*)n(rew%oH%mh(ICtpo$v z^&0x6L?citxg~w2M>RFjja|-({JcWC7kjZ74oKp~2x47;sq@ABsZXTHZ?n%fK+k>c z^IbP-cal|_JhZI0j1na9>$sQbd2FoOIkf6fsf^0qLY0Yw`}*`%OIt!> z_-O>qfg%SK_oBL}mF!g1N^^yhxX`V9MDZ>W8eTMA{+9E>ZFursf;W}{)f_~bdWKmj zd{&>UNLyVpMd_C7&^vsBehgRrWZn7JrKd=d{6T-G6WjGgc7l#u5>P7&hG zZ(2d*TME3RsaNc(#o8NoR#aEalL^+vJ>JK>M%%1q`e5+UZvagbsTt0RoLh#SLM8h& zjcCPIpha+`QCk!DOjhJowo!^$lBd0OKrj(^>{_x&%S)%9wcXka>Ta(ZwJf!|lgIs4 z_HK*=5v;oq4;{p#IITJ}(>?0umo>o?xL8j+hc1l@AJd&J>>|Dg zqDm5r`1LhfeXS9m=qs7r8*?*_J^dPU>A_y^6N^&n4G$f(wbu1?|3ztQ?)sT9L}=n> zd6ZKJM46EJWG35V{6+$!=5KSM@sU?{G2rdO!k)xE+t<|-o{CA>S;Dp^Q=Ano&d>=k zVpC0)#;jkHe(~!mWs5T#=w^Swc-P+N6z#b(t5w$e@r>KhW=f&KmW&LVo)iphhY5ZN zzmTtxO6ejmIK?Ow^j$LMmI9tGTG`mvEc_TW$&@Rr%{rAFk-1GwQ+%H(y9Bp)CZWw_jNvZQ|GQgIs zHiyZ;&P>rN3uxBK9bRLUAkYq1!lPN2-@6fFr?2 zD68U@eg#TBn4adsJs5Fb_+6mxhZMJ?Kh(^L!!g(1d_^hDnqJjq;E+O3Tq+;IN9P~4BS9zw0D3gOMt^@JU~^)G$yTv@szzYAk1Z& zh47+zIr{`=5RGhdD0za!mzfVv3uTi32>LbCw%cJZ6tvAH?Md<`9eO@Gn$<#$6Fzl) zl6aF2o9NM{KOqw(CG;uZ-PQ}k7e$pn<@8E$k*>i4LuV|e_8e9Ch^SNTxx0yxQ4U2+p!k#`xdP1Zc zoP7*(_;s5E$;68k16O&dTBuJ=E8dPx`Zf6Y?Ci@&Rd;aUE*$S{So0>st_qDR4+vrJ zBz+rMo)qKLxMc$KvC>80gELh=gcaNa%8AB=B7C}-KG7Np>E}cN&&n%g1nts3JpxaYEp57`nz>oW z_|@4__4XF@9D)ICPpx0}#dQ}zij_No2y*Y=T6XfX&W>T1NQJhGc!l9v{2t-rX|R$J zwM1rQ&n~*?l`ivupWIAMwdvDE6F$4AG-)TWHXWlQFSM1cwYcKO>XD}vbXwR#_a$L` zkqXV5Ln}{Qs&|aCTxOgbP9*3I@xuiTN?SM}QN%357^1J$pCg6acb7H4x+$hvf?L=g zFy~5({n_ojqSpztW3BzR#lG+c+aK8C`E_`aL=nZlSWPy+d5E{F<&c9coYWj6s-e(0 zcFHGSjD>xjHn>#M!zc2OTIE$tzOK-n<$Ywe<5%+hP!Qs+ah|wfw>LusNXKRO1P!mo zzL`b(xbdyNBP*Gt4=yFvlZL>D;G_9ZkI%c9atFa>Ol4;k&%@`J&b`x_BlxChztj-I z+$a`MZK0e0PIcV7-)lQhF4RrQ4IT4MJ%sN_Yei$Mr57)oq`ZY$ygAeX_F(N2|K_;X zYLnLz(awlcHF`746FLH3B#DBsMArjJ`zi*(Of+KUE+)sg&!-wPWTfg*t1zC{VHnS# zy)unuxjiDdJ&&TKgJ+-$E$#|&>i9(yBX`@0_LhC>;A=)KPCl$b?1j?G5(}>?SK{c> zd{f`be&2W*t(1V0h^9XT3L#u5T)%vb_*ia%M`kM7iCDfA#Y4)GEwj5*HC!RrU@6$N z{jp*ycIuUmGF-S}GP_;L@f#V-&R==%1sv+h+Lx-PV`ZETJf>es9Js=+K-3xL!gO5{ z13V9i&jN4?^cLCVq{ev+M5Q%_8f=}nNX57fwv2`aR)wc&PZ}SRQ!%@W=~@ah1{NLL z@y2Ve?N#TMd6LC2IP^cS*UBc!o^OykVMd!}0+=y)Tb-X})e0ymbb-W+?_ZPNlbH_C zf=$F(o3mw66Ay1~&%{bg8t6u=rornO3XFll&OKi|-$zHlsth&&*Qh~1r0#1q|I+#e z`%s?Acmg^g6FzrWWC@RM&eq_3$gS|O1#mXtyPlLm(f>NB4b0AHgza|JX($}W>R>jc1;59U(;f@*7)F6 zZTWt&Ecm!pQW29RYOa|ke)FvBqCb**Mtl_0yo+g1S8gKB@qj-e2*KyQ-r0$~Ke49P zJix*2gP&?XLIz5-7_Y^;K)BX>^5wWU?EPWHq!n-UA&`sV#15kqaN1i?6uE3^kW!tr z$ggLmQ&Y%V4q`Hrn^hu917!qHat#TTPBu$F*jpi ziw;|;t+^1Qu?EeyzEh5~H@oI`>f-Ij# zx6N#Kr(+gI;0$H6v(%PVN7OlV+oDYk+VDE7Y?qOl?>f6;)|eLEl-| zgSVG?LMVYv-e@V$;(|!lq>uqij`7gKCZ>(ttT%}n187QH=@RL(3;Ob!&))}G+@)gg zi_EGZU?~M-nTQ~%4vPsKAmO{awy}Ut>4lu7$I5hAZ>;f9M8!fyVy)RrY2NaK8#@Lj z6$|=g-};7N5M)~Hz@%k5f`#ARr!A^dmV43KhH|ZLFj_D4|N?+u23VHF~V89&g`d1qU z+Rj^$&g4fS;i4r~imOrPTsW+|b1rSV-L9C=W6F)M-N`8ya-^_WP;-4m}{wtpD1oCBGQH$>v9_1j?ZrM3Z$pJ2|$zM zmPANTs6UBjW2?4rioP))8^6e4n8@c1bE9SD>xC?7NfolYPF1st#RgOaegkWe0p#nC z_Tz}{7qGEbR(w}s{W{mf!9M(CeWE2xnR0WOWJZWwLmAfWiY6V<66>>7f;XM4+r7Ej z)AZ=;p7ju>x+pNS)T5BS|1*nMqb$0S9R_2j=eLALyD34YIYYzoLK?SF4l6t>hPKkm za8(i!lBW)n`bm{A1zz)DzFh4e^YH5=?Dba^SNnWrW@6)~lxv8*QenM;B=Ivlac z-=A8K4Y#X`M8j%%zXiHMiiOEuX%Y(Xe!bM5nbZ0mCfRjJ6^JhPE_eK1*w$1PPYF8J z5VVx+x0G=mqr<&G;>KU_aTkw+h|rJ;SS^3+^GxupcVc~p2rI7oYE+@XKy~N{{CB86ql5pg1iAgSAcyk=1_n|- zx33u-tCOG#lR`Jk13 zvzN7oxNwa%#{kU?6!k2n$c>8+ks7(065ANw+?8-$rqw#lL+}Y~QFL$j6tcfxI1lLa z?Ts*uU|2LHBqb*2$o6<1fKd{2vIBh`38gz`c)|0ynE#y-BGVDd{V@wCU@_?BlT#QO zC?PkQVVh6wX?bZ60`Wv$7?T*hNrhX)PcHi8>8TlsDa~INEzrEPW;J@*dY;WAt02Cp zot7rxU~l)w?|tWKcR=sgd_``qo^KcFj4RYY+a7Eup)Or?ZvssV?%jWVctSDBcHA5 zEJV<7wh5F`vy7zgfl`&3>_Nz(=}aqa6svQUi@5?z5%kdwV+cPl*F0}c<$9Tq29^Ap zq{Ky|8VWWL%ehM|{uIIy@wmWwF><>f;*{hJ29Qk|<+s4UGbMxzDzMz6z)&Y0XK~9% zEei?3oQ1}DCV-wfHU6KsvU(J@EPfI5O*9-(Sn`bRVd|@4m$&@6z^aOii!ItmMXe ztE*gH0kS0wmxt*r=q?p=WUO4yVy6txy*8=lhr&InO{Pn9AHu5=QG^ZxEF(;KA&e=Q z`zW+sgtWJz!3x*eL)8>Gy_e>mD7S6G&#Q3k+_kQR%|^Tv8>G8_V?Ft)6T1>ldycnX zy(RE-DsF8S$>r9I9tF0&LzNsK04BqswO|B5nFVn_k*uFB$d1DV8_r*JExu2li13Q#I z6!n-g7bhQ}rZ=;b-z1z$$G%6rzPjqck%uRYrRbp@d$y$$m@>{5FZ|>v0eQ}6jT6|r znHT)ZTEz906-cW8E@X3(VNfDp7%0uT>q<$q-77O>zNsT5`~|Xk5RIl#&^1myGuqF?!h76HF?lZ43L_^^qCoQk8e?a=o<3if)I&t8%P; zQI;ed>;rZwOz(uEuP=OCZ)NB%#@Ry79hz5=l3}#s+8$M3$yj| zrnjf%w6CR~k1Pr&y+GnpQtOL%i0w{-zsffo-A!hvF*NpqS)+z~E?PX!G_%W1r^QRf ztrW<|)K^DjeNe+r6d3r(wNaNWq1En~jO!2-Nf zBaaUv>jaqg=EvSBVxqbs#|+?AM-R%l@^llEK1a=GC$#W0ucpiUWDJl5jh3lqo*8IN zc{VlrVIQ<>B~RrDM_~lG7>M3pd?9(%5pX_7gL6Iu==4#_l?|r%i`WapG{iesI54`{ z)Eb|5H^NQ#kk))IbbDq%K@CdddK-J9^G}LIjc|eJ^a`$n{a#3!2#v+t zqoO3m(#oBNiFTYIuG+^HR7nG_(h3zWsAn_?au5W3h{i@eE}vR6+YM5Wf!kpd5jKE? z?5+#oWkf{8&g4@*eDu0mJYD2!`!El?{gm>9LphA?5nT(?PZ)71%O0DNa+E&aZ#d7d z(`g9V~QY!7E{+e>L4`xk(pV2r~pH)?9qygjJ{Cnwf#4Tk7_esgdgLPZ_Lb zBk8;@Z1&GP5dV18cf^k>0Wisez>pOtNa?V`iDa$fw+im_QqNp`p6-7f&&4X&Ohrrk zaj3>kfnJZgliznYx8r3_Zq(kE*{$y+gM`2Lopy|H^Es-#48&reR7h|L`#v^1gM!q5 zQj}5!COM<#V4H+~LH37Gq-w@=H(|L?%(jhnSFQ$36XnkeAqTm-d1NN=s)KLz1)qvcIDl4i}{Qlp>y5NNBI{P$Rpa-(DIq73|LqbcFhlB8k4c=$>Y@I|a3u zIKvO(X*nkJien3YmxE7`#~vi86}c22^ooK_mY5)l0i{d0KfW!N0On&gb$NRUKQYm= zaqw=5NHg)PMDP_dju+!vKd-alAdBdN9ch51wZ-g(m;N7wDa9DtGhT6?MhElsH=@ro zP_`l=lH0wJNF%Cq=d!SjJ*=yl$cxxrL{kd6Ry#1KfhhfgZnR)hd6ehxJk(CNA`SyN zg^s^QSk=;LBx4w*763G|TFs++$Kkx+-b8T>f%`w6BL50(i)s@+wC!d8h0Y!OpMC7& zm++BA@V?A22w1y_zl2fi&B}LMQ}7n>6WNUD<6`0|jokO#;x5mbmeJ*SFR;KsJRSHa zxmwyh4iCPCKT>niAhy3=79*vWna-8pHRiPWs_f7wdpU%=n`emKGDFbl)~$N#I3c-R z!v#Tsr0S=iY|C)fhV3JE@g>*oMoRi5EV=$L25>mH{C(d2hAixhhCJ(poF5%2@Eeo8 zu)*AdhWl|mD<*40H^xW1!PKHM>{IS);@)sEbeWD@Z}MY;B`TnAe@=C_I{^_N3p(i) z{1?^s0E!|(=K}UE(uXfWz8W-hoa)u67}-{FW(US6i7Re0Ty!D+y)rvp5QNR$a=kt< z+qjMvwA3fhp^F z1>!WDq$2h#_ibj!QHCoj$?5jOF;pp#Rv_%izetCw)UvhmgWk0(YK8$I5NP6n*GBq~ zG3;bL#ir)(WsbpysNM93Q(ty*X83%yTKhj00;zyzXFiEcNS%Jm$MkUyW|Z1qytfh& z!%Ox`>kRYp$K;(!pc0~kpG;gc2NL>kyl?FKd*y(4ow2X>RvH3M+8oJ(+h1c(v>~Ot zuk)3^a_VN0>U2M<)8aBJWJg_5+gj_o>@x6dIZQ{z+soQJd~k5CZ)@Z^Bph}hXy7ziV@ty}J?O@h3sQ<%#lWtQO;ITWHeYTvU*zLVPF4>8+~NBFMr+S} zl{ArheZLZYP5f8!Q%SD~gFr>+-S#f^E-HW*`ZF^o;VykS=L<&XVE@t#ITA_Ausi-@ zFr^UB?+yk(lh-uhY1jdva4)zOW$WzLmtCO-pF3}q?xB51zamPfk`gu;?% zzULM%VGBFFp;Dlm?=dH|09bv|IlKP;t>?iP?(8;OcSM}+UJXH)RSX-wu0IUbO`9u* zxAaItA^9(^{2zrx&0XzYV(%bdoGOxB;O+8HNvxbvf!}Un3TG=vSuiErXwVt2>=U5> zl5w@wr}K86)IlYCcP-~zKdv{RyMD7Q%+bbqs=V3(9rt1f1Z(sbOJ%PKm0rP8%!RN! zY{oTapMn6gKuy1tWZW@{Gp9PKv^uEVHk8pgeWr2E0p~y0zbU+M7`O3fjj`EWUEbRS z2U}6!g5RohdPi!FCFtb2i>v?F?+NZD@~TTx#4V$^W7}A${hVsJohC6D(R_^};sMP; z8Vd%tq28`y=s!DP0*CE0nRpM86;yHEMR0d{vQ3V^KN9Qsmx8d5noLDRN1#VP|uqj}Uh|Z$;1DsRPgQot zvP?H2v`EbGiM*D%8f&=CIh;&fOzQQyvmd#5(V4bX`DME0)R&(~A@M4Djb2VOQm`pG z#w&^ZY+faG~qDszygn@z$gL{)?I=V@k#ZQFXO{99`7`hdL3cK{V%)$ ztnW&sQG>8Rv@p(Jpqdwl#GmKO2EIz`89BKj`u0myP1@c-`K-b5NbI@)DuG;#HaAi$ zz*jK5j{9s9ewNEglE)Q9n*r*JvUEqx;Lt|wB5bEXV=U^21sux28;E=8U@Vth2Bl4D+MJ&WX4F5b!Au2nxU1%Si z7Xsc+C}o_v(O5laR4rruce~VQdA->+$zDePcO%k$xajU)?+^5r7sXjN(l7ujIGOLV zV`Ps@s^E;6=)HrE9d z--^|CDCYZeLcwXei8cr679OS}A`thSCWm7hVQ7YU8ns+kqgr?!fPRq- zfp&lmDce015LT=Nm-`*$e#_#8$S`1BZx!FnrP-ZX7mUuT<)e#{WbECQzn^jNY61V! zoyeX}FBDMJd38J^6$bn%jatmxy=DS+t2<(JXWLDfK6^R6pDn0lg zitz`3>ot}~B@2G;7*XuHlSMoun!GuNmCM0fA6LU(Q>xWqq!EDLBRA)}=dUkkT%YPawmVEeX&KArl2(g3xptnv#L{e=7bE4dpTpgR)3Y6PO8!s(}Xu?*FI;#=^RT-k35Q7Y4~^eUZH zMY_iZS{&y}+5Ea@0lRp5j7yLk$5bI*+(4Rs=G;-Bkw1^l{PXH(3})QA78bY3qn7 z#b7XgSGN8n^c!P8DRLP2{lDBd69B*O7MsSLD!;DWt5~vd_abnY{);xUD=ktEHH%M9 z1Ta4#pY7N4xK1W}kGKbPApZ>Ixl<|pBenYwQEl^AVi4-L^i@JDW`2?xZ+3W8+wq|2 zM7fPud-r}k*Pr;qqBG+kTvw-GS#usv3qM&3nPBGYI~1U$pXQU>OXUftLqNw8ftTL7iomjcoMQ*Fb(x- z9GorUsB5}OHn*FOAzB#GN%5!BUOmhHmx!=-VY8kXRm__usI~l{qrw=Aq)ldFY}|j@ z;UL0tof378NKo7c#h}npIE(#WrRzOvzN7PBPNw3_SDe*50Wc_vqG(H;IqgerPT@Od z4?pNA#!zT@;&*Ur|CG;7u<>q6yld899XC7NuO>+eiQDXM_xYhq&|*b ztq2jg(xZLcu_48RZ75~RJd+eL4!6n9tOtx=ey4~@4Rpym^Gme-sppPtEA2@vqle~G zzaBOI;l?4mpZ`nYV>&VWyq(x_!k1|d9aZ02NU;T~wW#kj`Q%$4{Nnz8A<^`n@hf79 zFHR;#AbikIBYn^f( z0^Q&3ku2}^2lw1Y?}|SEDF)6_>K?n5x(wyC_x$vo_i^uIEFO6bV`sxy^FFPOr~BLB zO?hSV3oJu9;z~=soWx^ZG1kO{R%>-$Z;7UgL!qFN=sP}KSS&<#OrZg*rI%4x;ATpm z=Iyr$6B289>Fvi{?1lzHbZx<9Q-1B{d95n#8+CRUvJ(06Tf(efN)0v9Cr!h22a{>= z?C(%A#2;kkFJyfiQoRtYk>h zgZik(P+&k|5|5m^O^5zQ(fxc;{_H*q_{1F z>=8O;N2M+cXd*Z!z@yuw^5(PIfJiQul{ZZiWm%+j`QJ%LD{32%1T8~0{MM@+DZH2b zFUKAtL`gb)BfICvxmm|=&%-4{uzpM$G!F|KGu^cvf7)U(N_;?f025N+^S@?WRdOR} zZd9OHthM{y=;}fo-d`=jgGOn^Y{8kR-gPc<+A1NhSbFlJjelAhAi1*l`=_glYKPjA z+v_tq&VN+FmM6N-@&HV}=}nB~>(0{;2iayi{)3yGJ*l+A8tzq7RJ3Ck5dR@jaTu=w zBNU03I`72r%gEYRj{pt%x#bKR8#^TqvB9ZQioM>E-BX2hcTn1^_+>-ALHhD8XSQRQ z7na1$D$?9lolyCo)w;F_+smHpbOxJizh%O#T$EP^RNfZ$dB@*kd&sqgNF_;2!XLVp zOFtp%@93~)GHjh43MkN^T`R3MsWO}aiz(!NpX(z8*FDVPSesEgq*^xo`L$fb$wgBC zB$=YeKmZU&g|P2+q3juSun#zK>1d{DV#xcu6ThgWi zJ{7-SCaFFab%EM?9*oE#)XUty75Ug;tEV5(4QND={BEJnH8Zg8nW$%fBb)DXwSwDr zddk{HuXZI0lk5H}ilz1SAUw4-BBEup48KMMIAG@Dn2Uvtp0oTH{hb6)Y!1~qOoL7# zE$ozIQt`*ns}K<^UY!1v4ne}N;yiD?%kEE-p5ZVxPingELm(_sNy_H_d!q5STMpA0 zg!R8y4$=&Cc58qswU|MjAC>gs>9$DAXJjAzK{P3aEs_92+Ew|4w|7d3h7iCjMD7WZ^?@d0k{y7F@v z+DFuP8A}PW(#LLcnAa;bXtd@p;yV2Vwq|{KggUZY`d~9wE^71Q3vkN1LZjZGszbpL^#W)(5}%(Ix1lch zZL@PaFRMxsTO0w1!qch7nNG{E3=XlzzT-&nFRt-c^>XROH~FzFs@7CWWr*MCUzp0s z>H$Amn|wjyQriHzPkIq_Zd>D3l@Ab~7e$6NN0nHCV+6v3cWBVv)`9an5Uw-CU5PYD zoR?dqwfp#!w2s)%8Ovsrybhly!Qd>Apavni z$|7sfIey1Oa_Fn=5^c0-Vc=DI=(}5YTEA#2K+?QDGj22R*mb&5%gPxcYS8QQ>nap@ zhPk}HpmF#}fWrTCf-9HW`@4Y`(x)BLK*75U>{qWbTY7(~=7pE6F)&B#IZpoP7_7_t zOBhaqpW{nR^!x(UuBUgrLe5KWkc&hnn?dE|?8IO>1`6SM)ct|nf`?L_HU0n;#zSG{ zyR^gFnGXDCo>Tuf>3QkdK;>PzG$){RJ{(Zgk<4g+lvRWej~PJ-pakyKpGN0VP5b1vK~L1{5KpDrj=WA5PC#(LPHo8Yxz zjYZ6f!fGu44-5Y00*8eOqaEVI=GKBXh??%`F)i5}{{g87_dYsHF=de~);15p(u^!5 zUvqv@S(A7uifEw_oLS^C8R^y7SazC$RscDK$uhjM#Z@<=2ytJp_j9EtbQKOo+O}Wd z=P$)8J*|Js<%bQ_w7F!$8+m}}IhxsaK%Ko>jjL#h%G9N&TXV|EtV8Di=7?UGYk(Jr zdyul#A(F#{XQy*7bmasT0bZUCPAsPLa-#W-;h|nSG*9?ke7(!YAy;zD%i;;pY(UYW z-%3A1iX_R+G`eagjDLG&Y~$G37G>wBRwD49(rDYPH%Ng8oP3XGt{tMmEf+2A<@*#W z=EI~E(i*JoGKUt9qFI#KO6^bv)GeSd{{jCpj1X0HLFD|SKMa!2;GL@J|JwWNfGC&l ze`4v9Mp~2*1woWfQBhJ9ltw_hBqgM~q`SMj8rQikkp!Nw#+n2Q|ZwrJiauUt4C_V#8C&$VMvUY-!UWb6YI zvKqZHbLq@^3H@acyf+?cWw`}?b=a=#+rgGf>R0^<->JPI(@ha$$kf!wfX4^Hr+l2Z zYfcz!-Qk%!78o@D(W(ftW;pgyZAl+?AARQnEyc5oMI5&cV0RLkM@KK8RzLrwhMSRd z2FD`va@X|@T@b^bd|?Q`FQ#ga@-CxOIxl)MS$l8uVPm^neiOdQiY(*YO7IA#S949O z+A`T?6Yh5BP!IL(5McDqCLFs3+~GiH%vLMQW_zD<<|P!zDWC9jTT?Eo{4F zMwR-5V?@zjIxa@jcRtSJs;b-&a3G<^RLxqhIek2rFfuJV=RU*3Gt4(wR>-zmq*%OO zKbm9eyyVU8*1A0Lfy?Mx3f;Yk{tY5Ht4Ap1R*+gC?b2h`P_tJGw<6$G@3&%4J zX?9hnEjI#*DD!9QrXh zb^$^=3aH+`eQV_&HXSjJ;bpcy%*4Yi_xI)UbL51BXaYm7TnFAQA#wrNAB_d}$9Tvg zdW16WJ*YP~Fgcs+=$Xy6$AMryn1y#6_!2+qi7Dn3)-Y(iwtZ1vap-ASdxC{S)tIP@ z4(_vXmvFuFBm}Q0oT``bl1dQ^ITaXf_xi=(>x;~u4TR*z5IJ&&^n^zxlE_dtD%`4N zjM@uJ5X_xaJv2zfLX-Esdy-rv=RWF7N}tw}+Kwv!)(cveL_?YpO9>>ZWi5`EO=_9cGI-^p%VYtz_xhEYH-3` z*^dwJnQ~5I?O_;h_LgA3hNQVozIzlOU`s||6@TQP# zIKCCz%~mTJP9TyI3+wiIvWwEUb|S%aCs>;D-r5Y>dB}<(_s2x`_j)|qmAiLbl7l&E z`v~(dPzRfg^YcV3-{lbJ#((P0lq*vW7ZV=sto>B+@;w})nh&;!x+IAH6@(o0y7ygc zr9cu{%%T%j`+5rGZeIA3m+3vyCNR%DCkr)CWg*-p3S*SEIO{HFM;g{je%hbQJDKdw zZp%Aa_HG#>iWkw>Am$oZO{|2s}*zu|sthm9j`zloJZkb|*&hN2& zW^Ov3=`@&nd%LR2xp3G6YbHNnKm>DnUzb2K(B0zJ>AliVnRhci^q~wC^+J8tYsBld zly~%l$t)Bp)485=_fR+8kE(s?9`U@``Hk7g&g+V;OqOMyQ&cC;p)?~{@cO#%v`Dne zjF_qSZWKF^wnvk5P@ClKUCnJefV`if%f@d!oxH>qArx^Nyudn3< znu*QWB}>1V!n(?Pd;V}%rm#xI?SNoAWIcpI0KJGJ?wS1+4yb7l*I;Z7y}gG~HMDwh ztb^dG$)x~;t9KPr2AzWT#TyoS?JCBnJ09>mA2Zor)IOb{6;WNfw~Te^W|X16#eKyn z)5=TLrOr_|Mo@d~D#A^eW6ixrSdNE6B~H@v<~($X_ek{J?T%#Do1Ey4dwuy) zX+1>EQD;}NM2SPZ%zp}Xqm#PcHa%>)f%-q9xBsnj@=!nlRmCF76viB!XpeSg3_~$z^LzB^;JN*&W0;M)zHcDsXyl$S4y#tnV0zW z)hn^HtR-V_Faqd4WZxDinRhe2K3b*fu>WauL%RlBGQgSmlVc?vc&_#Od)$_4^PA-B zn{dsKN(+|v%YCGt4;|i;zC>vuJN1n7!h7#B!w~eXv{h|2b~~PH_X3s;*#Z{N<&)iW zQW{bSOw^m+*fq)_ZDlyuxR5sT&NAB!zhTMxlazmSE|sB(!z>hH7VV)d&Zl0xBv`s1 z1*-@~H;iWJbu&RdOcp3CM)y0lW5O|H`kZn_I+r7OJ)ghKVY%(h64V$oLN5sS3949R zewy7m+N$)IMtU*FaTN+K=-lY zmQFHS%RXIbPAp*wfmwbfNm|_Ux#Gmk^XE5kb6ZY$;q(gNzbKw&&Re6%_P$cj^YWpG z@$HfoqRTWzX&za3>7BYxtgyPvh$M+D4p5m1pH7r3h!J>^B&eEj!<6&wMu7xf7n-7< zIvGu%oM|DayT!1mC$pR<=T6GL-p5IWY^(hg^wvR^~nS&{0l>h*lO-LCt%0jGqaV}HV9-6up&)EGBKOx~FJqwgiWYg^;}VRtVR zkTn(c84ErQZ2$P6IDPls=q;2o-&33K$c*5Uca=?U&}2bbGn@{tXv&1nK7AUO-BaAn zp0F|VGIHHwV$Su&)iH%?m-2f4R6^g1cC`|Mu4Sue0TOj72yEd)s(?6_1rN!Yd`aIE zLReikR#-g>6@if*vbwrD24D7MN?)IzRlHVo zIz5$1)oS2j>&}|p7@wEy2;Z|Yh(eTR4^hgq59`D=lMBb|({J;7RZ(smGxgm|MwdAg z;hRufA|JJ9O=>cdmVPaTepQ?(o>l)CYNof8GG(n>8|}@S-Y`@*+QzmyD`v@+`^k7v z@y3XVHSc@J3wW(8hnHTw^)z_kMlTvAd~whhqGSL&{a$zTmCKorkF1NZn3Fe+F>S&2 zXlTM9mBH{LS(I**F+GnBVamv`7~{qfIb#^p?s6{JL(;=JeRy`*&|2-jS$p%A8W%S~ zHq`XgvpP=;K}d#e%j)D@@I6v-UvYab`)kJ;+hm7Txz16XwDUUqHaR*g+5N&wQ&uY_ znrYcNjo04zn%9RO4~$!uWZ$9N@83r~>+$$9Wz=J$0~n(Y>b+CE zsKZlQ`X;ide)*~AtmIf+h);3W-&(17&Ai~sJ!)@4D0?Y2=~eS=aYvJumP#$zgADSs zD;Y1*@wu=^c2rsfR3E3Ci^fkdg%1$8(^h&|ZY`9PyI%5$I*lQ1!6bcQD=xvyWhksyu5^k??YwWh#%$vMfCvR z-|N^}8Rlk*rIvV=@czvCvM@38<5H-RE8Kb}hVuM!h9lEYG)p8bi?S?B)bumwdzAx* z$k=BUml8acsG1C#_NbqrqlTM{tKxLD(LX-(-et|+SDlmV{;at6ZYVZgf^(j@^c>Ma z0i&iCU1Ud3hRPd#yASys7B^Uo2F}(h?xVlVXLi-WfEo30E~?|-tv1TKG=tjIJ2Cx; zt*KGxWiG>ZsM(B+i;>dmzSruu(A=pwMAt3HhlhB)Pk6oN$hishtMfxmqF!|@q&3Yb z;YsTRZ|Buew`A+J43WEL%7oc(&>F~5oGqtI z=5%-!YTf&*LLymD@N?ZKLL;hCq;>5=(7Du4Eo=~Fly_Xt&{_>E*0k9&X%L#`d78M@ zu&8SyrB1&k=QAQy2H8e`?P8cE8U4(IqPaXjLN|N6Qc--HI*?DG$#!sSZKwnGQDrW| z;LaT-5xg=QN%}@S+Lz&2=Jh1*_&s%xwdh!^A+7nD8L<{0uANT_n2${O)G&GP{xNO; z*pgRn<|B>#avS>Z6PZ0T3_E(R-#$1`l=yh^R83%5c1Pc%4{sIm(79rS&bZ&~Bb1D! zKW1Zr$3OLfD3E2~{9w^x4TUbv}AZ{9|NP$KKE6DXnW4Pfq5mOq^G-)w}Q}S!BY3xXJU5 zw01OVuq20s_hEvbs(IlDqZihMc~UcXXGB9g*Po81s-i|SB(s)Yewyv>l5^RyyX^n4Qu_}pW22*R_{i|k(7*t!ueYbWv!lJWxv{>s zx}vP4C_gtVBQ-fOE+#rMJS_B4NN{jaP;hWa$fMBkh{))exP-*yl(dY@?3}!U!s3#$ z^2(~3y86bZmNsZdS5F^oU}$6%F)=kWH@~>Nvi5lW$2he)Q_7WMyS$q^G4MC&tG{M}$2J3h?#vZ~;H0 zU}~s$S5sY8MMXtTLtEF-%-X@#(>EX_EHWlODJ4BCx3ILbwh7uhgqT@c-`sw+_x|G{ z3Mv{p1{MxJ5eda{I>wXCtZZzo%qJOXsmO@%u+R_pcb`95S(u$fz=vSHUC_4XhPrCN zUe*^RU$G>`$3{hjh6Dxr`}z8KdAhqgJ+QGfH!;%J)mFc)D1BLkkDHT&tl$7M8#Dw^`IJgAF6!a{dydsiP*RNld5ac;? zl7<`r!hoQmqI}%nd9pCp+frSelaZQ|k{T49oRwDyWL;iXT#%iX7!w&Dikz7MZ+Clh zeJ!;+%C~OFU6T|M;N`h+kxx)WT=KG{ga|+PX(l=vx|8R`ZW+4;MW^OhGHd{I;PWHyn-Ua0vFCQ(@~L;QP7+?eeR-w03SCS z4Z*v~>R4B`%c7FEjNDH#G0>kpcUjZHHzdU0MPFX{0`H|;26iqFt##yuI8U?lh{>ty z8kw4!nVA~tsmV+5a1sHUZHTSkbL_*G}T@dYvr z3_>c#aTW2vF!em>qh)*=I!YoOJThj%8#<;Y+H$-nND0YK3EniYb9T13zHj5`=Kj!9 zQ%3OIX%;3r3VigpFP?3E#HHny(lB@S3W~|9?wNeN_43W$y8~2o2s+B!oz2bNj}Sa! z@MA)x#|ZH7@Q+c@F`c9*{y3E8aO0+1?ld-&pv)chJJP(gDE*1|C73C2-*kD8k_#%T z$n#Nu7%q)6BST;G9>SzMbMEX(DgsOlJStXxDMeKcH3iYrltdJ4B63Pfx0G(*mf@v( zJ3h9FMM+0Rh=Bq*#&}WA%s;uJdtzaEVS0RQVrFr9aRvb&om$;~hl29y-~a_33kL@a z0>LJxWnp6^d|F~jGds)R-hp#YK}YunC!|7oHzg{!B%HDOuAG@yppOC9UY_TDGgZ!w z8_6S5F&(R~_jWfPKi$J1Ai_q&q7_!tRpg;(64SG{(v+1|(NPg3dE7U$zV~7%!&&P= z`Z(4paTQa$2ln=^eo@)A{qxWF-o9L)8tmzTjlhRGYjWZvW3#HDy&d&srS-6--H(T_ zr}Gq23O#Z1@C23bh*5OQ*dw@nNxCEB(9XJtXXQsJJ(rt5ZsKil8kd5TK9ic(CZ?oo za$#=v@$Spn#>PW2k8poY9)82X0Ckedk35>XGUqwYvmQ9%;N#uos(yQn{=B?}yOSF0 zlL!GqYQ?x&a$!|NeKi?DRuXh{a_;LluJEvM$hxQ2_x3b^u!~1v?$G05FOP(<$}BW8 zj4rFbdK4*bnKO+1S`VD;k}F!u0>z0)L`<9w1@P8aU#xef1^YRQAoy6~hm$*8yld zgk0stL_L3f!%RKE@H8nEZil6AYHxR*uOd;g&9RCOg@mfoIA(cG7D_kGeMA>cZ;E8Sqm%M-!i+9oq+4oXid#5*zqveKVYN-nFC+Er zf{fHnx2Rx6{C&)U6UR+%;XM~m>ges7MkOJ`$HFDTLwon(?MEEyleE|y;|uSwu@7Fn zMuVVy!oy>FBA+N$@donD6+eH_dEqFHa$wJh7&f8~1UE$w+YC%{Qm`D8Ef@#3f-Ay(!K5 zCfrTt!*$Py`1JDb*;kmvT`XmbnC+jH= zA#q_*scZbF7@3(!K1_8F&Oz_I#>nnsbx2FKKSR!XfpM$-83{(ZbP>fxHX2TOO?7Qc z2U87w--NV;*z}6_@i*w(4RKlB%Lk+^>`e4bOjP)&)6vWgA=d&;pAju0JfC5n(21>V z?VH&_!y}=hV_;-ppr3k`NWRcu`19MDnJlmX5Kdt*e)hpP!eff3Tmcy_KoH3{H^SDpspw`Ab;R z8XG$yF~Alo^6kTo(mIMEH5QInS`Ov(Pi}a-KMb zOUbKhsHUjv=;7__;~N|votT=GoRbq59-kT$@@fo8>=hp80eZfxqF4CWapGLcEYANUcTOcz4I0g0>L>(d5W9w{0YKi=VWilDr>1I z$Vl>YpF4Acg76sOyWzf(s_?Am;3-07u<6TRlMv+P;l3y&#CP`8iL+OA?QQjqJp8=8 zeBJFlLlbk$%Bz~1t1D_N<1Cc)T|G_s2naZDntOOzs+)N`D#_oxNX^6oX-ZE?&B{(q zPEE_H?jAu*t-b#E9t8`ZfaEw0H6=K}>1faJpJ$=Nn0?E3O-Vz~z}Q$%OH=tW4?8P6 z8~MAJsBc!$m@jJ>n;04DsNK9OB5{fDypZ^5DGftwS2t^2eV>>RD+?#}a{{(81&!U% z`i7<)Cjl~40zO0kh!DSk0Kd>EUo)G4U~5@v8Q$~PB&ZG#P%&^IA3wZ%54JlzVoFM2 zbTKe7v#_5%$8+)g1wmeJK@nC8rn409arg`zZEc*LA3U%#ye)G@LR?Dry7Ud%D++p6 z58Yi|U964t)#Ps6k)*>U)baKAeCX~M91Tb?UE$bZ`7T_70mFi=tp`oRwZKiuo^4eudNnt?|A$|c+1O@r|`1$#T#IDH5$t&KH zzb-8$CMqo}c>c09E9NPa06%X(e}7*mQ)_2?D=TN;Kw$X#`TF?>2KoE@dAT~6>uT$1 z2-BPn3H5PzclV7-%gjg!a&vNUd3et-rV-lMGYwB8;fY!@bHvK$)5WuwJbphcGP0mC z&DIDgyoZ&8x0kz%gT1x6g{8TLiSFII8fqF^>MAPg8rlXHz_!)b)zVP9a?{REO~>j6 zvw&M%d{k6)RIuB_;OOYMcz5u5Jz%j_x+jKEW~R>9L`qF-a-O zDcObjb+9TQr(9S^ZCRkqH5&PK%!&?jtYjx$vUpzK*reQ|7;7`Hpvb6zpqS{eN5MgX zL65+@zmJ!PtBZrJt(}9jyO)ozueXPby@`Q=@(ojupwu*PGw;~kvZ9>K#L(clEbx8L z+?=c|V56rdCnqH(#K%QPMui6WdpUdhI6jCi?i=r^EiEi9FUn5KDz50+cr%@s&^$gp zmg!x$n5a%D_%SSI6@7GN)gde_wIDY!&?h832I*ELCnhBV{~|RtIUyz{GBhMOFen7L z9uYBdu~A_`J|50i76vLxYMw<6nJM|%xs5GV}u);D)e?V@3AR#gqJ?!TCOiGenuNri?tDiL_q z@O*wwOhH9vVthhoc2*wJBgroST$GoVloaM=rzIx?aLLK(!1>9^PK%2S@%M4Fw=vgO zGf(YotE#D}fOa=FG&Qxh)m2rNSAbVpX-QEb5>!@3T54i!Y`A|wNMu3Bv(2Z^p06)2 zZ)`o?c((a`&nxf$$$HI-$>#l=P7Ra#zFR#9G(o0<^)2>40v4mMWz14|l;3agtsx}ojR&YsSe z#)gJQ@B%I#;H9__FqWB~mK6KQ|4~}g#M=J5^~I;pUu?hHeYX4I0QJN6M>Gg7J`OhI z-PU_-Tnubd8VZ6vSaXJ_e^h35MQLeyOBZt7?%v++o}S)5@TU_B9LNUnuMt=<4fXYP z)j(C!lHwvm1O0qF+}&M*((>~QYkOhc{r!CdeO;X$ot+&W?JZ3WwKbJMzD0%k+3BgV z5lMOV@WrR7hr3(vQC_WX?rp!rKt+Lk*g?g`C&E8?vb-?6frgEVg^hvnVSH$yy123v z2JIW{=^q#z9sy46@X+w!z#upq`un=OI>3PiZ9|HywXvqAvZN?CGZg>|3i9_2eiRU0 zT%MlQF##VPfej7zgVNjE(+O>FZUERTE6R%sa#K@c6B`Fdmp9*{p2ajv56TD<(jWlU3lMbzueYhL4oqwz@cq-% zl9N)BG78EX`bH{q2gmzHC#EOI#$d1!AX*sUptG%|rM{-BtT?|Qqhb#m6&(YI01qFR zfP{qbZFhZd2Mpe~`wlTavoJp~JwCTM|6~gV!e{5F=Rpi$ zY;+7U2JiqejSP=~7a-A(j7WfhL{mduZ58+xzOvH7;&)qH56A2tBs4ZsFRN5`h7#wRAH7pMAq z2PcObI!4Ea1`#6zAgnRa-_zRzmK>PsAy~)A`qtRQaBq8U`%qU+Ra<{YmX&u!Ti@8! z+$_K|zc4>DF)|5+1qe?}&rAUbhFzt7@L@#ngA0rH90*sGdVaqJ3ToLABGJgM#o26+a_m6C+Fq> zqPdxw$!P#(W)=t#8BzjLLI9N-g9B|s>NwDH*x)cyMnl8HgG0k$c}^h4=jwvfyPFCM zE9;uNK?4lH>4$-hV+1}nKG-!lj2It6Lm86@KX7N9jTK04UhIXu!^R@B`GLyS+1AQl&w<|YA@8PE;9kPJ*9wFs%z zBS_f{1IBy7h76WmZ*N~;57-5}x_dhMa-$kL+o2tu4dC49?nO@N01`F`7Y+>o2EbcC zthctlueYrsDLmODsAFh&d<-!<2J{awJTpBBVmW{iqQ9jNF%0eMtAm0)t-rIi9X`K2 zjR263-~i-c=D;sCOdyv(Qg6V(K%-$mHhth+>FMk5>Fe(4Z0$))=FcXLZOw5~QMKF%)%DZ9Z@Flh*|e!xl|123?0#>aZQU_dVs z{Ug&8lau{b`32P@lW?FxV95b}LdGSL0-XTc5>kZ#pdlETp}~HzDS<7ZAAkd=U2}VS zTyI<3NLzPzM@wT{V{2<86gC1T3#dJy3*_0=)zjY%tt~0e%qdI>2`mEhj10AcRRIJ) z0+>bac!0+E_)tG+LvA#qrYJ9A_wFhj6HzyX(6a9CPOzvN zD$1)$YuYozQqy81qT*vSz$x3)+6B%>urQD(F?ff8jSVRzu(wQ3P0!6N%?}O?_XD?_Jf^r5o}luEyH8bnpV)z+XsXVhmVa71L=(c)WE1fsx(qbfuuV-+gn>38tQ7Q zfIV1VTwIb>oUfMK;L+AtR#{ShIv(F*W1R##RQmE`3YrRU}(<`($Bi8C!KtuD$)k55Q0M$$S$ zTv1sHEZ^L;w4|t<{KSm>tk{6~+NSoNjNsDN>bknx`daW-R}0Lm%8H7b+WMx}_OAY( zwwl~@VDM(-r$(liS5{P3*8ored23rM(i%hJZ*7G_p`Fm9IcRHbZm4ajuC6F7&CAJ4 zN=->hOl@@zf00yBn4O*(?jK#!T3-)LCZwHMQc#qaot~5w7nYF~odk#^br_ z)s!G@ZeZR5TQWZn80c9!Ir$|OwJkLn@i9?R0iJ;o@zH((i3NrEC8ebm)pbDDRTW@L zN`Z+{UQt;Ctn2zFU?hV-psl8=sFvhxZ`%F4>i$}1`=%S%d&!GA?X zxw-jisp(M(u@Qx$VH^dqaWU>5F~xuhAeY?y>>MDj(lW9# zGt*O$epqyL%u(7WH9a#62o-pKASsdqTtM(SGd(FTE-oM{9?RY~Gc@jz(SyW_;=E$u z9HyqHrh@$@E;>32_^Kdn66oh(a!c4gJ3kG0L+L;yvA~s$3J(nn0htVcUvDojZy#U3 zpa|dFqSER{rUrWY2B!9Um+pqeMnr^%M@GlS0Vgy3(dT^BqtLL(sOZ?3m{?F^fM^q9 z;^JfCJl6JYlb2t;Pe0s}$Fz{fv0Aox+>qp+ZmVEamp3NjaHgxv$&+`S$?aCCHbvb8X?xQ{HB;JXSAj*c#F zE-nx5TUy+=v$b`wwYIZ;;OO9N=jdr;<9@E4(deGFlZ96Z_@8eDg+2-n3Gnmt@$msF z;O?%csivl>Yh>-}?H>SwW4>OVUhYoLj`j}rHdaF; zRBkIOYpctNb93E#@W9f>Tw6y+4g~w|+`6R#hSJp3*3m^`Hv%}vdX?iq*)2?&Zx$|!5zy{m6} z-_q1b|E}7dJL)?6dOCNtw6#=~Zpcbq5*6SDxi2wsQ9(grG4V^6B(KTeys28lb#LLfFI1a1-%5E2y;5fTy;6}T!mqtVME zbV=%}l98Dah|B0`tAQMw{7pq!nd_3`l$2D*scBCzvvc$EUbt{kK!}fvljH0;0SQS- zF%dCwVFAAL9PG@DbhPv**-o=DGo55*Wo18enoCgd01A=;3pKvIqGHLYD2vH$KR416|85pR^NeS_Ykcmx9v`_on6=1u{&&bRJ z8&5$=bxm1WT~lpkZEN4e;w&(DMnB9jU`r+%1wavGO zhu~^||NZ;@y?38bKD~Rnv9^flX=$jbY3WB=$^9MeZ4J%vmQx`D^6m8*#Wf|hy`5F% z<>?U-QNjL!{w`MLI=61lcI79;q}24ZR(GwVU}9sSq7fWtIsivNxW9c~Bqjh|03UNfw{#K4^W{M}?=iPOrW|B|ga~ zqhVy_;QY|TConWRF*zwYqY#;!E-Ec82F4T!w1AS9nOl&b85iRH&_Y*3+sMq^&duqb z@?BGHrF$ml3xpaOg~cR9&eD=$&E<#qMW&^MxZ3GnVn$26`^+;V+lL<;<PJ8{0`_@|TE_M?&td zy@!X>0|#rpTk=Yp`j!u@)I_;2@N%9!!N$SKd5-ls=?OmJ(l*P`_xM0b$;SDmg?$`CB4RR9yiaT0S$;{XLC0|nrMNs;^JiRD(4F%5RKE&kG@<>C| z|)nb)7Ax$sQLM(>y3Q4MVZm&z-_aNP}pGmOiEul$Ky8 z-k%;@-QQb9%)Q1Sq@W`HBzc~Vy2?$7`t123K0V)UD;HbM%NNct5WXEN@mJRjOp7<+;t)6<9ACg6 zNPk1Ltd!^0RU2axDgh4NmVvVnjL2yebTkM)3CXeJf=-3YxOB{nBq*yBQ!7swdkZ66 zR4&jQKPRPN?;o9(osk$7;_GOjq9}Jw)--vRgy*`lwuP&=hl%V(&hz|yTxYm1Yg$_A z$?~!>(H|$HWER(U@(V!*cEdci`6xa;9&0a20kNpJyh6D@I-f%(CeI5O`xThpk z4UBbeN%F8UF*2TH7gF<1ZysA(orkxVro|;>SG5B-VtV5PI^^)h+)!szb$M;y8VW8x zHpoqGmGX7-)|q2a+EhBvM$J46?^KLr1*bjPr< z2#&K}l#scps&&uE)Xdb>1Qa9WNvjP~70Te$mlES)ro@AwqG5p301N%#)wAW9(Y}_d zg7l<>#FWf}il*MNxs{cLDFkBn$?F4@4?B;S)^9=Z0+pq?d|Ps?wc9i)6r5_ zRaTG^=Ab7;d9k*>i$*|6&vb&891nGS5#9rB>*ya}eFYx5Atb=Vf}nl^&u`!#BLz=-fL&%~WocnhvrLru=zGtfJlj3QA_9Pz znNKm&QWE1~qJDV2^ZePy#`7!(x1P4OWV-Q0!a#(l>n3_AZue|YinzBRAX*-q%I~VrpSkXkOf>L?I&&Z zJ2&N|#QC{c>B;dS@1C#BPEE}&J>7i|vW0l~_;@&2=%4m?HrAFFm)4%WJOEGJP|-0l zv$C?B1hxfuEDC~-hK`PbfeGdgST{g+*hExJ90FHvfai?N@Bc>2%*-5Q){uxm63Y(Q zydV)`X>N)Ha8D0e?%mTjFf=j-&r%p08Qjy+R8>;AE-8GGlNCH{LOfzN$Zkf{C!u3uvLk*gzMKPU~d&k-wM>XDa6 z1$gM+!Vwb{ZAQi;zmy*b|NZ)#PQMV+ukZcb(h44v{tXa-BLZd!Ox15_fOL+g?W>Hw zBlq1*{!YEMwMk4&1oZq$`On$-24t(4SSu0_03-SZ#=rdi3JORHS%h0!8byV_!2n<% zQAG|60@FvIKEpu%{hdLi0*Hzn4Tlu?PlP2ZE(YY&*7`3P{z3&(-&>I5e&GbL_M6l{ zg8}d0$;EHweFWvJ_>aQV-+@9ZF0$q?Q2%)sq;!8o+9ew`%;q%q!ny-C6HzIEaVroVL5E1zb;0WP&D89WwwtO8P z3?TBmSX;ii?ORgceE#*v-)M;bpdgu0sdm$=kb0bx*zZVQM5m{|K;m{HwS;2@Gm;Hwjx;*6%iM2 z`M2@-3sQfrS`3^p;Lt-JR{sn@;-3vGd6n2^Nn)!3-E%u+Wet(Hu?3XS7nTG$Mv+`4h|6$Yh4}&A| zUpzn6ny;1rF!}sz?C+1^|6jL)DEO~Qd=~^nb~~#0b^o8W{Ehx#WO1=y#%_KVk^C!l zKLPbq7Jf1o;1@*Q{x8cLn_AgcAThs`*;~2l<>oMEiyG z*IcbA_~y{p?C56zN0&dQ)ff*)U3~fc`97pfTUr_bMkEV=p&TU}f9osySqMKS z^p387Pul&4?008Djt=r`5i3p(Fj|8U2T2*0KEQ!roe{~6NuBWhph z{dV!^e}2lv->&>~I)9_bpHcrJ;;+p9>kWT{+Aq2ujrq0hUnzX4`J>yv8{!uo|7!L3 zV||0?cZ}Z-^$m7p^>6+EDzQKB_j$k{`h6#*@7jKW{?FOs)`R`4CDuMq8Fx-*>cwWq!Wm6movxRYj%OHyl4#9OGxCB|;hu{v2 zySoQ>2!k_7aEBm+OR&LVafe`o!{Yb-8Ta|xRb8jL`@^ZO1Bd_rLJ&?2CuW?Pv9ALq z=+^=2m;ef(`~-WZIyemG4}*c@;c!9u_-#gFFuWE_Y$sovCof;i(9=W2U<-lR3dlp` zi3J%MVaWahwRwJ*(_6kZ^`*iLwtz@d@pPCh>5{*mpzOuzNJt3K zM^ONw*yl6ZU-$Of+xMa{%>-Q6+0W?j^aj|)Z}G?W(C5a|+t|<}VyC+Kw|WF@FXg7c zeqGmL{JPb%i4^0*&;!{Pw96ADMiwNFo33UI;W~*p%(n-DYxAhmAz>!DB_D`Ib}Zjg zSG6V1CyDTQD5JmcCZSFB=1_C&)TJF0(@y>sGBKlFZ5`-;k^rE(gaDNMYkhkFfN58e zG^wz#pV`2GB&o2Uw0|Yz#GD$gV75~5SG1b-OGtKN=U!(NqUn}|tTz0E8S)C7He0(jH=v4rn%mnNl zw=%+xpQwnrGKA-nNR#sIrmN$85#6$g%^C)XKTMvHL5`_8`Pppw+80htnHLUs=<-Eg&n?dxBz>Kz}9<9M0tO|OR51~l%4sS}zX{wfG_{sB$Q4s^k z33F|TZTKCgZTft86PfP&PJ+8^Ey$!YLa^40v6ygkm})kljdNMvjOvNmA@F~D>2v5a zK$Y*U)}`M>sztv1kYj+12*gwdcV=tPhT}gGMWcJ=lPvZKEEBoJx?;MTUV?kBz({gP zJqEM8sJ=x1JAd2wc|6zV`hU`*%Z&fK|atyOhE`IafNr2iaSpB87FCC z#$yi#=1N;lpbGJo%Y8AMN0^+m0wNC*4-qb!^QW zrGwj2OZn_lZmO-Et9zO168XfOv(EZ*vfKEMZ`uIly+dS|g zohshyoOoam@Y+`<)+m9!gWGprbPNqp2x(&4ksPI8wDt8-<&KR$J(>n;dZk8@rFeO? za+AnZMC>>*NxLX*=o^E^a4p!YPAub^Yv@Eb4$34;JiI3d2~&$nP)$}s1;q$3_zm$E z4Gy_ouuQi&(oB=Cd=JoId8+42RV@h?B@tFhx-Er8YuY^&JEY$ewKx^a=4&!8mJC5;62w zFOoeWx-l%+q8W?~4Be(Tipx$rDGa1Rqg_?av-skkSOB+ENZi@*Q8SzI`oBY*7kCm| zo$DN47n=O<#5Oa&Jw)T#;|eJH!(@o+FppM_USoT;ePZ)IhgjU~jXlozGP zlukZp0pgjeRR9hHz?L(HE zt0}jI`y4=o?@2)5V>Baq8oLpLHke?ZBM7!)ask7SoYF*(>VQjnUKt}q73 zrn!$XT^O`&c$IOH7S0)eUk3>1WGBua?iB0r3R)2FD%Nma%qEnGyk0Qh){|7t@46a% zE)d)=g;*e1xwZsSyu~moCssX6 zFDHzXOGSd~bhGff9HaH07(ltyjHuE=agTP{U222OWXCv(EOhDuZ`5hMr^>mrp}?W@ zf&D8d2mD4_iwW=MI&J^pwW);Dykcy(0na*v<#gpL*E5%_5Up2^bKeBx3|reNRMHaR z>kx{?4V&C2P*iP>&MGfI^E2iSYdvk8qtlo=J)m00z(1*)%qW*@E#%-<2Ejgf!bS<% z3T{&9Ugidj_CV_&V#%4`DOa7BR{2`^3E7(ES8i{dX^Br}WT7x?&jkVR2r}ZxXw7&Q z5AOX=(3Ek6#=G&N#`yc<2JX`^e%mqeH6Hzn?W5I4;=V?aAl>bY1Zn z=!kWFX|Y2rP~4U7rL?0A6%;TaUM*4DqsmWGCAr@v-eftRhEb=xsw&j3qE<-U!XWuU zLnGxu(o>9Xz-N;T5i@q@ugn=Ebtx)b$9L79El9eMwk;yh%sfRJ4vrD}dHUDEl`$rL zwRE+8jxAjY5>n1>U;T#@_W01^<)oSil?rH{bBxlyf4N;}@IqqSm4`xmY(z0**FH9% z5qXzmP#Qr_8l7nez&&k<*g>B&a5x!jx1*nQ3@Ns|tZYv=mB$GP8>hQY8H)fb_T~^- z9ZSP2?qz}c0X>er1TK?vCh{8+SOr+sWv}GqK^U>B=a`Jm zU76l%StR;buv4V2`;yhox-y|AOn~beFD~*9ut`A?{kB!oY5{X+I{;~D;){(4<`d0j z?stS|?`Ooj$m1)203`!u+<22`AGDZX(`l6_#Nrc)Mi1W($m-y^{E)1PHyWv~*$LmS z{EX7)(HeILGK#F&0`TdOH$ewKp=}WIaR4ylDvN_H;WaXx7VEYO*Ote;4lbFvbiiW6JB(zV)Y%k)q zscF4Yf^cVQfLaAT{_$BNOxiqRZ6Jt#3qFvXrLM)L2DK{4WzFhqTA9{}y4*iKb#;%(UHZf`LhSq|p zj**uv6H85yTX#baNu`-@dd5fIZc_b{4#|o~CAIxyOfM91N3R>T)~74$d5H@UHxxH% zu~3P*SWHDhMPh2WpW4k_iNIvg>lnc+GO|UNx7cAP?S4_&ZK-=|mywnxPvw*+4}Fny z@v#~T+S4F^Q%YE4LZu_~MCsVI-|gbh3LtTi9$iWhVh?z_qzVGu(aqH@cz0rjOL4tZ zym=5{c}i1)3kz{Qlyz6ea#waF)k zU0+$lC&eFx!!2qY1uOe|E;kb&JIC#6Dz;r8Su|Q#5!UiQ$U#JhpI-l&>fs`&8ReC$y$AMrv&bXqyDC zpoWj_2@mdZi(~jY7&pc}mh0`HGB8vFK=-NVVcfHL5;g;bZThLScF6tdmoco`H%qud zZAZlab14WZ%p3o@En~5TIlx>)ezbb$U{$>#rzJ5RBx^7>jPKf58YG!R3-LP8U=xO! zbm_L~oeu&ww}CqV>i#qdqAebLUTbig=rkwyQy(x?b3$ zG;3MZy!K)wi$8v8>(UGvuQDE8%|GXPJ7UA9-YIU}nYKakHXktlH=u{^bXZj&5l1X7 zb6li@SHTI>e;Ko&LgPjMH#VZS2cPs%miCA}SvBogoLPF;&{U~}RE&SF7+2b4t6?$} z;MO9JzVAO$j%le3q~hAA6JUC~Xv@>#i5v^joZueb))cFp?>A!{YjAWA7p~V%*6GKl z(wq%HlPDS0K5HN}vEn_?e91OOy(*hRWfE~+H)IqtFr}k)(;)6@-KTok$G$FrpYw!D z7!EdYh+Cy}chz!7HQRQXs3jEy-Iu8~5%jZOrUu)Dq0Zb4d2`MW-=M}jcnQh5d0;kS z-L`t^BIiE3)M0V&_9%Ofgt(-~i;8iku{58BPwX(8p;bNyB2{O0CrI;kH(thW6JuEy zkkl|DKo7Hyu0qr}-&dsPBTHqyo!R9?p6vKz3dlMdaiBEClG6n>cbt=)eZ{gd4foDt zv(ND2q{9f~nb3jd4=EOTjC0F^UBp%~yN>^Z-Khb__8o^vQ?H-I}e;uK?tA>>{-tuuhxp1@2* z;-Iq$z8k;4k|y=3VV$Cj+Sj-y_iN7Nu|pq`wvNX%+<-hPL(y?m!?a2r`n3@INO_~s z>S%!>j%Ht%mVkG5&IP3=X6~H*$}7Rnkm=ku2mZDaf|Y9wofyl^bX9y34*H4*Wq!4Oz`h-I&VMMHlkb5&Poipz|ahCGMx4eD*AyF-Q`8VwlHpdeS6t#y(mXlQ6AcB%rBYc9C;F6vezx?oXzv#Yy5;^N<(j3 zIbnh-!Ut(UFL_&*nIE7%Tn8B=jhhcHJtDheYPdlL%DQ{g4}pXLZOy_Rr5=vsl z{$gN{h(b*n^@v-{9*c%eadc<;>?nf-1XnLi2~z|Qw#1TNUL2?1R+8nS$acAAC89J@ z8QAqjGMsto+ugkT2+6H24e5~ZBc&NBh<9e&=(C2hH zUNyuwe&k0nZLJc2f!Hsar^(lMU4waTSexgW8VI4SZVjwH7=1mq4I_k+OuZd}XCEQM zm0GQW4@taofeQcusj9PjY|ql*{(oDYF}AbN#VOKybdfPsadFD}Jm-Z0gQLqpvlUl17_X z9tG@E4LK<#`~;g6BI*NTxx!U=ZYsfL@y}9WJRc-w#ax3|Ztq%R+*>teHSBCA8lEE> zJp;mC{Q?VG_oGOIt)q#SNNx(F((glY&^D=$bf9-pp!6ItuqA#N>*1E4zxpm4Utw%0 zKmnR~}ZjOZc9K zL%&jS_pt6tmTB=5GN~2;m$S%%Px8uoNb15?1PV0-aG%XJJ-FxT!6ViuDx{b76VZJq ze9CY2-lUH7l(ZK}BSs;8FlI&dppteqEW4re>~-d8FQBwILHiy1v?`z(ay2J~7Ht%G zi?pr;%GFO^dRWr$-*lAaIMzs5Y$#pdKl8>4kT8EPcEq?cW68Y1;lK14dYv_ia|@$F z$jNTvWGUE??C74mO39fu!Ip-a_PeJbLH`5t0qSeRK%~ zZkcPiuMpp``BJjA6T|-Io8aEp{mk%YC0co`u=&cQ6z!A`MVVE_0W3{h%fkxYyfWcL zixD>ji*;<{q{zKK8&2M9+IU&HxpTrt;*xNnqpOax-B|SF;USGj z$|8_uz)bD~F)K(rFM4qhPZvQHk1tU8>i&SOcwz+Hy*Ajm4`w-Y%on3p#_+H^P8m{b z*L&@GXG?aVLmuXB&)iyRkm?O4XKcR>c@`U^Ut+NFhZT(gq5VBFO?V6V=Qev!aw-od z*&n+*hXR8=DHYzYUvYfm+f29YZx*W7Ja+jOaFhmKu}5d5>sw3_f-Ek;yO$BgupwcS z44P0K!9+P&SVzBP53vRxqcbz|d~%k^AiTMEYb}5_-XerfDj4f2IA&SbA=8T>I(J2E zWMIp)WPFTvrWo$nA97b$h`B&2>9KK1Q;#pD5PlqEhI1~BBFbil>)8{NOk!G99_ETs zsB|I~WqSQsfiW$~yhw%7-8)}4+k`hfBa?u?HnN|;Z0n)rT-!S*ldAsCs4|5T6Yto}NkeI(U}Fb}y<{WU4?$YhVAkHQ zni7!N)C;T!~YV)y()*&AmGlW3Xgam*TSI z+Uel4qzPD^o6QHUnJAHEeIR8^nuExC+u>JHjj8Hg^1S2HxZ+VwmH z379VI#ab?Fd~L#^LJ}&)Ok13}A%n z^Q_OsrVj$4Qi#LyvcVTO)p*3l9B-7Rf(;<3|$wF?#2hc`?GbUkqBI# z1u)uDjt>&E@qg$J;~#jsP649CRZ0gkaHmE2^hSbGbLtNL?CTKNy@f#0& zr^{y3lpC3t+rDaMomm|7_;I14>NQP$VbZPpB_38&NFU^VDD0;{@SqxLZ;nL>8^glx zJMTfuWPTcEh4tF&HRs_f;d>r#{;P*cDq&=~YO>Abwb#effsT}AZM1`WOUDGMVhNtJ zICsUeuxeTfD)eAtL?8v_U{P4w*N1*a`w*rwxqE#%VqPsHUO5vU)YByR-N=G@fa=|A z2w@iYIT>I2y0}bbn3uQ2f0TIE9AUN>z%AFyiUhM%MB%s`jIc&3{}4CdN+8d38!ptw39sNy!fCj+cH z!={g>PMN4w8>Bi$97t_Pe?WxG(I%dca?_uj8FwjaABx*+1iw&vXvNRFXUbI9RDPAk zNZlDAh&Zt#WDJI~>~hP#4Y!vjR^n;DycS7bS~T8EvgNY#^?}h^rLl0$CTHvVOzxHq zb&rJEu`@$Bi{>JUPp2O<^80zBS(eX)(ap;QE)ipbqquG3({HvX-hs-MTWU}gCnl@I zlgUV~B6%@?HAIl9g7cl?hQ$SE@Jxr~d7-gX#Zfr=o|?u$ zJwPRXY;Yd+wAvY}cCo)IUbw#sTmDuDXLW#&JQ(^ zV#E?6?|oJ62g)qpd6+Ga;)!|SO_=ON7K;uUV3NF<-tb=LBCU!=@QR#d5UH-SCfl}D zNkGcBmSWE0$8xslQ}<-m*1Sp;sS0k75(KiiEKfS|u`$6-y=~B9 zcfx&|uK?+|v2QCyYNRa9)dn`5OdV@X0YUYW2p-x-q(aRmQZ*M14xSqX7D?dx?2u_@ za&9~@S62;HRW+SU?0Y1q*yYjC@FIO&<(@h!W{9ESWpKD9ZObtM9+!(${F4z}L(A@pmT)8^oy}0s^pwi_L`u#XYH$*-&pcXRPrUCw7C?Dn&k6 z$gt+qU6-SL5nkTIhrC2;aKQkaC^6o`)7nCs)FuTk-}<)7i7wX`lW~X5mB$*FAChiXH4Sjw za3i#`q*Sj|BiC%j7KGA|ivLrYQK=P*Fy$v5GO(D>cn6kg0|2 zU?#B~dQ^nsA?g%E5;AXcZMynM`1!V%hB>&>NZrWa%r%Utg-1=AVJz}sQ1*rE#tt=u zj=(hwyVu^v5W37f#D8vb`sN~HlqVsk8yUq7CXnOH^bzgaqSm*>QsCO4d*`eL(}BAu94L0Gr(nLN*H_Ku51RdsVt=_Vid!iYg7$gaG<#dyi*s1e@nWO&0A~lHMy=+9X13c%dQtQbJUnnC zX)M|vSPTsZLkf!`hWBn;ij2_jMDFS!h_@X27U$r?3~ICZ;B6T46|Y2*7cGz+iRbo& zU=&GMuH&pbk==}Di_BNAsz#w_582GB6R@x&>Kt1xCYH096A(Z@IND}^5IpcChAKpb zf0rCR;RV9EHPbU3@2F^S?AQxBSR<)u2VIZ;Jb2b29eBJ)!znGt9m@$*i(^0cSrViY zpFVp0*m|1WnCQu~BeFAu=#bKFK?;Ph^^8CfI`6?E!<2DYYKEql!gzMB^w8Xw2)nctsk0(E;9i6|k4yMf4z?T6K0(f9CJmBC zNp!A#yrl6+Yg+em?@`|siP>r8t@Fl5_to2GQpt(lzm5Beha zTyab$L`t-jJrXTr;izRpBygTUR6E|xuv+nxnCjHaSN|x(hTIKZchlm48H-#{VBb`Y zL4--IxwmDlhBXPCxry^VXG|n6OL;J_39af~lDuTor)Mdh1Ok_--`^gei`K-94|uUu zEufQ0e0r6J`3s54Evh>pTm`t5f%oFhZp>PR&v^0zqT^TUCnQH|_K$`f_OrE|ffSvi zgliNGee08xZf{PFn6c1(=+28we!BS{ooA|s!qQ$})~QG2ImncG<9f@!kBL$k_a>%F z%1k_$rI>7bnEgCV(J`(Z^u!@9j7$~Ea}u?+4IY`I)~*x9LbSVaP)(&}){|a#t$=G) zKqWpj0$cfT*#M_AqFL@)CZo5--R5Qk2cRYiKo-Ik#*4KP{%R?n_?{rnfB*n z)t%1!-zz0*{*ap^nxN%%xnCu-^O->yw>Rq*pq#nNl%uS z=;i9fwv0<7&~~TFU%%^N%`T5UNi5!*UGV&>JNdoB!3< zMhJp1?ir6Am89g<_MOTTVi;3qiOfw1!x&}9iu3qul=;*-=U570AMOb?W9|PvyYZu- zrwRm5Lp?+j;;oXhw8d<%8)&Z8P#>}T&#I=&19S|AjDlQ{WUm@bF$eH(M(AVXm95Nd z*!%ikg=5S2v@bUYO-&37<0}bn$PX!z_IoX-5Uw}QRDvBgmVZhknxAQnOVyM z<3e<zymPxHPaQ_cC9j25+qA{3VQeDb1MZnv+4= z7g7G~XWfyM{|I`IsGYSiQxOk(i>VU|&~FQ;0!bT_IjGPnI>t<}thd#&Dv>qSG<4ewK^KUJ}B|(`;Yy{XibGEfwXq zWS%SmW*kKF=F{&!G~ybEyqyM}DXZO!Zen4Z?0>wI>@2a$95ijM5mYs45E2#o?h&Z4 z``{R_Gz;~%*}wUUwC{GJx5QW+yfT_OXXiI4ZL=q2KhVWFfU`hg3p=QyvO?Oqdf3-nYtM^yM_wzFAur*~x9Y+8<*ySL zG6OID+p%*HH~qmYvP<)qwf|?R{y$?|;D~81m!IX6?f&q|ES6yyR(iRbM>UB9N2s(K zzN(Thb?F?zM+mTE2Hb$zG9p3|DdZOG?eJ;m}Gmm6%gEtN*@fhp1<$E7IPH zIATw0exEP~?DiZhlsUxqtRk1~W5mU8RRy}Jod_nqYXUL0|89PhU@Ny-gf!ZWxr4PW zVjO7hQ-5q%Pfr?)|ME|kRou%Zm+$T|@Di(;!gKi*6eAS0lDxMN(c2~00*D(aTV4sq zHK=z>nlp5pbNbnAnp&RBhN7Lr@=Ici;GZw)zNw7Dzt9fDiRh4~(Ky`JNFN;77U)S$ z@GbQ7wm4{ja$o+Ps{e(pDs(utMB9Zztis!hDLC##_l!>TMX+T(*M3NJBUW+=G;8m@ zPQs6T+A$XQruL1XWhO9yFkDJHMO2k93O8@iC`hj0{abI@!i$n-Fk+%|&!KBlucK1} zgHqNW*J^sl09fml^WTE@H5=XZ!mH^0nf?Td+^{eaTd0PX_LGfxI$ZKfCod3cUPP`Z|8||T{%HKyZEO(Pm^!1{HxCpyIg4NoP<)zP@ zwAY?>uqg_9$~O`#IXhxXMP>xJ-tI5-`k{xhP#XoSd|(J{S6JC@I{)(S@qHDK59JmM zvMb17{8!8YJNf+Sj4nUI$DiN*L#)7GImB z-yP^X1wRdcS<35!w?9BpcZre zl+esh_Yf?7AwIIGcYgNo%U|`7;V4HB)pViXhUo=ZQKL%trvHkz{xy{X>b75Vl@Mp^ zJlW}1y#UogaWQi+)z zBlIqFTtiAq?+SVG>sh);l!+JBYR~6|8|aMF?8%ud;BBmHImZM z?)1(7@7Y=}FE4YOpK*!X~N`J`FC*(nuLrJ3_>@S6{yt?o8#HF?b_ z7h6HOhC2R(+cG%QLQWw!q;5(n7>NOO8(=&;$>{8*zJ>9K2^6~wESvD8^pmG@4r-oX z1sIl+e~PJ-qSKA89{jS@s&8jVvD6wnm$@YH7aq9)`Q(<%2m*A&eUkh)x1K6O(<2u)PbEytSA~%6$OWhWXL4^?lgd zEU}#okE_Cev(%LgtVrD6Mh^N6DN+@EBd479?(i#65c|BTG{#jZQ-B2}g_~HY2!3CB zJG5#kfc7}1-VglN;iLR86`~F zSNu%yJ0wUJVnY%4f#om&>kJ)dJK%`~>YGBtn*Xcq1F2P_i&S>bzinStkp&e>6Fm-l zxGj27oerREMsp>yQUIQ=>w6Em!dnGD$?JXDme->8>wOX#1+(ZQOZ@}*)^=^+akgT1 zy61lIa{t3Et|mOMSPai@;WLm5?z7y7b5Wb^_&*2W7zyqWk14ftjucp9#QL38xzl0w zyR<|wR&R0)mLY^Ru|8#QXV-^0l!qeK#{e8G3J>6*_iZc>*LJmy{)_8;y7G^;XF{_4bpvXJnKUh13X%1#5wo)29{eQ)yQ87zpm? zIISAe*MoFqwo#I`UO5Fi`pJZ?^X0R*7=WT1Q1s|j(2-igsVZly0>ADvT7?=r`;5_Gp40q8Bl?Xvus#wM-|^(0IsDUY_qWyRexQ)h)0GJ{E!`&4 zCulI8WDz^nOzH3Q7c`3>tvn&bwGrV5Vv#=9h;>So_Rr^Brdi_GBr|WOL@(i4Kf>Qz zyW{FNjg;OdS6}qCaDKH5F(y;6(=u9mm;7DH2Le_pZNj%jH+U&(NsEfI+WAD2@rdo?<%e;;&`yY zShGPdxj)+k3`$WP+E}lZD3`~Dup{OTmn2iJ$y%^9@UVgHlY|drtC?Tp%v+3a?Na@$ zw2DLNrYN1TD~iejskZXwGXd8*-O(_Ia5uJZHIoHHu!iBC-``G>>z(O{B!Q8EoeZm- zzPp17JBy-`!&Ys`_i4~(XpitGUdbQve>q&*tvm;)DjcFhC@Gqp($5UcKdg;pu34*2I5VEb#-5T~i1({32_y4tcQplQ zvNF2hdiocLGeRY6J0VrBMFGHcHlLB)TJ-OKpSlo0KC!8R1utw$N!5*|_; zrkn4%ZM}EoIT-hdh7*WqeLom6XlMHoiX5%d)bhyb!GK^y0TuCqZyhT`#bc?#Vg=FX zI#$yEB6qH=Xl7p74}^$Fv;zK@&+{g@HaqIDMi;!GYRh)IZq!MAJnpy`d)uhBU@@O^ z&w_S;Ac%k1aFy?qFDD=F@@w%4g25i^)I;fxTYfRO>tjkPC_ig#t6B0-p>$j$xC4q` zAh!t#L-kuw3Of==kTSh~7vEyh1iCq;=RoeVETN5VgQdf4D-qgcq`4Bn3?`lc@ z!G3+}N3?pSK2>?q^&VHLIs9q;+`7Se&25@jOAUoTw--!=eR((b-t|+MqS*fH-{(K| z6^g?)A8&pq_~gn=NQArQr%aE@$3G;M=mw_2u^P36UY(M*&wEV7vw0OzPCKewKT=#& zY_0Ckr3gIIX`N&m%K)=LOuvMBFInO4M~romC0}%mU`s15U|w~muyM-O+#R+&`w9BwMa0Lx^W{wNZc6{?7gC+lId(E z^!cq!r&^R+0IsuoKYsVEK*bQFb7M8z^jmiGi^tlb` zt#?FT;rN4qx}~E*&{^MprC+KM!3$A_LaCM(0jO6oyGARs@BWcm=sOi~B9yx3NniXV z_^*?iv1&) zvPfdL@M?-kfa6^RhWwc!q1pLRzmX)QW&UkQcxNbRji~~_H~i=4lzAq`rWSef9C@{(uWOmOx=|H%n9w`L(XyPx*ehFYXK6^5x|}RFO*3V>McZP_ro6 zp_V|bgSa9xmL|lTpW~Lm3Z6?}6GV-}zPKRr2Ia0|Qr}_v4 zdu00%dhl{aB9j__-8SIqgaCHuKP3fSP>eI~|q5-K`l zFJmf}FKQEAeLkH%5|}SY?wY@dR(O)^v$VG5(|`ToIP%oj&=MSRu|Cj}2mJO6MC1QE z)4Ar*UNY)ey;rU2ABZe4;j{0MhVg64sz@{TxU(2aXLJ7nZ7t2!7LJshn=ts>#HqQU z!(CJO`aE3*d|gGZpe3z0&Q)T~#=|B7yr##o<62A|9;*Rtmx%O5t>BL%mlixNaAy27 z;KvCbT{J?%o9liK8tCo}BFp}ED>i&z%`jy8CfQR=4p5rO+KKUZqwtl8mD>(Meb%r* zvndb@iB61<{z?5go5!(U{%wY1*FYtDv`%CN<|AuCU@R3u)GTrWvRa)x*KGatxzbLc zz)Up+Y&~D+8(fdv zc$e)ms4G4SG9+r>yAz)mC09agaxx>$dG)`-W#`}c{)02UlKi~bE>F)T2zjs0i=x)) zqtq}lt?Ht+B#%x0q0?EFj{RmjaZEAE?9ACqMmxCS4Agu3gndo`%dDH64!P5>4Di7w z)#*LQ{D@t3S|cX;?+%u%{rvU$Le#OfqKQ63)sch+Ebw7<&MGugtFF!w_)Ze-*;(3o`AEje4Y3zol ze8Wb;&J2^Qw7%?kLoVPE52)utU{lmp`cQjRw%15NSiXI8tfWZaMZIUN-EBwUr_?)O zOjWbQLd>kjYOB8Qo~^p1{{#HZAkIKk`ZXvg@;C*B_!F;AlFtvl>bEFia}$rrdFi-@ z*~XWyLU}Wk_280}IGzG)!Rw^PrzURy&&%po{pG7q;EZFS(J!WEHJt(s#~t!73A3pi zQ#-e5pF}%~Nat(w$-t{gOp)1Hqr&1sk3X%wMuWBps`@s&F~o5>n6a-G8%w{;)}nrd zOFp*F&o5omtoYRidSFxSBd1ti z%!}t2L!+Y+od3CI*?-QE$CdSBxSl9L9B=y~DBkgT<7VxO@D#s6(55s@&<$7B>knzq zLB6SrN=FlfYKCazv8U~h)Ps_g&Tu~?oqUG`G|8_UwYOSmDqgMjzCX<)&Hnqt!!j)A zhq`**dD2H9o`4t4_|FH89D`kB(GOf20F6-Z$lSyE#xOY)sM^_jcdB7AfI`7 zd*H1(y0dQawQzs#qcQ0L!Ee(7JFhanKkXdV_ZszX4|2{)-DF<$MWlUzzvt!53+~qC zqVx9Dzgd3@nkzor-dGUm{^6bLh|5beBFY)fAa*@fNZ>r6-6<+xg<;-TR8kI)Tjnr4 ztoIv9mJn5V$Q9p1A*zT25KScQ51&I;jDNqBCZ(V(7^c2}M%{c=8qUi576}*pQ~z3r zHDYUf-DHK_wiX@nLFaT6WvFZxb_`rGK(Tc%Athg?Qx^*Z0z{QE6KLJrA%qsh+ww=^ zDr?4upj0HiW^$HrS<(aCJOLO)SB~mw@e434miWbwhU;%g_5qD(=npFGv_4NkS4EV{ zF^zxuIPBGyirm5{m;6*kk5a{!=(si-xoVBJKbq)5KL|`AIU4Q%VThM2f?4o`&jzQd zk}jE)Cj~`*z@Vb@6oK`a!P%)#DEl=_>tNM#%THry*r!Aso}U{*zT1t52S38I!P*_! z;aXa$9P`1(IWmUnC*qT56FN0M>CB?5EY=>sR$PW*ihM~Tf4c=E^O=`(QOOxU*-d>4 z*T`bj{q&Epdads#eIYN+?p)LK^hvEhwvn?a1}7Qp8k?Dtv>qtZp9Y&3SG)CMhw?uC zHI>$9C|eNj!}XV9twzSN)Gxw-6^>fK3Ui7ak}l})Y>Iz=k{VL8VkHJ}Nw2mhO|ay) zUZX?_|JU&yH%N+!>fY^VGf_~~uU}e@o78#L@YBB)GFBJ6CsE^?^NvCmLdGN{!HEXP;kDt@qoSPvrbzcHdnZvK4kB9hZL!Y2~R zL`xAXnH;&ZCB_69^>Ekz*?j_;YlA8hMNnC)PKHt_j zH$%WCRe8XCKt)!8jv=;aQzM=x)>Y1;YbEq;qPD7Td=}4L+bxca6DqXnNRvD|SJ`8J zn*#Jg8NgqP*4g;?P`2Fpx7B2+%R3#}VL6p=>Z7hSc{mudUg8%Q_KAhZ*tX(eak~%3 zhiEMTi0%d1RcJ>DI8QlK6ZpCtG6}U|z%Y+30lJ8>h9zHN4?&7Ata>;{#Ird7W8I5(&m6 z8ZQk!!1kI}X%q!XjkLn-)fmQky?&}lc1(CtaB%r`2hj?AP8ezb`!#7GTh_F`dyq}l zQVyk;`M2kQ?OWey>^}h-7%Msx!Zvn|=1T>hL*;%3Q?4WTt`2tODHkf}R|C(LM_J)V zKa|9iHXFS&I~g?pYW+4vaMaA_J2itG^G7R&0J{`3Q=zV+0j0kU-YP!v^w6=I{y0S$ zjr#4sH)@O8b@8DF$Dop>BTxdStcfSe(0sx6=^;vkmr2h3-@16}4>pv-vWR}qc^$Tu z=pnT}!&{W@b+*O>6mbS~nIgEIK(1fiKMHBoM2!Kg^lWu^MQe@e68(w zS(wNL9~2R7sB|x}UJ#%ITjD3HL&8u|soA}&JK_(5qG-e*kqYxAY2fi_m_Oz7D%88T zn!>7NjVJE406f`!?Xy=COW6NyWml%47;ruL(>G$<#C)YqUp$Nd4UgnhPy{u8Umr=j zI{1z)@>8c(G$V<{;(WG}M_c~@S1i75N<#ZvkjFoQ|JUAIfJLEn|KqeYBCUuDNT-w_ zEh0#Z0-_)&-Aagv(%s$NT}v#mOE0j%vgFb&76xJ=BEMPG>-F}1-}`<4@Bew;!L7;9 zoO9;PnR8}W(N_&K^NxCAr)+9Q%UCdvq7esH8438<9N+ep2JVqGb$Y&PsW8-yBJ2NLB2@tYHWDVAb|bjRWF?9 zGoDXfqTY$j3mfE{%5J{r%|50|o+}d7=J8BlID(0HORaR{@YcPySn;-J4f5j}FIpAE zKE!&fd$zVvob&Nm*qjMaTvH5ozY%(NWlg?_eVyXny3%0ASn0~jdAZCSG9lJ(C4ZhwtYzK))BEc;hnDFqOr7Y4)1+RvsT1Z` zhQF#fW)!{XmccN4YQ8SK#3;PP#Huk&@GjIgFJM?yI_Dgz0;R$2RTbpU&9l>mBRE|7 zvP{C-Ykc&stn=zwn3V&GQ8CRFQs?bd+!xPxJljfC6eB$xiy2i^Lq_+AHR|Hr;Q6G( z(Huxsi5uJB=-@9@5z^Jw89lMa+H=FOw8*HYmSZTh$92{oUu+TPC~ar1U#tr~uMyN0 zXlUQa{P9%EeCpjxVm3i&&1lufui}Kup-AFI4k7C^ma){xw!|Y%(s&{=j~=hLE0T*F z+>;VyuvMmhQl~&aZ&g8|m{Be#PSi}y4WXyo)!K2NG>oOY-e(&}J}Fh$X6U2&gji`4 z${#3}F)#iOH}>=mX%`%g5JvNt4@i3Y9nfVwOHig0SyB1&YVS$oHy4Qxs;;0-wrl5K zIJzC*U^ZEK`}CtbxspA9pTg{o+Z{I_R^;o9?F1#~U)enuh!C__TcgEWykl9J!q$ljCt!@$hWaxBZk zYjXV%!L9=G#X6GZP383?5tfW;o!2e}NwK=G9w{)XJnf92I+ZsPq>cEc7?o>W2iRp@S|5h(?{NSeh;x_Nq@ zWi24m!(nrW<<#?b$i~4tK3lz(J7Om1SCiU#TFo8sVq-)u-*~nyZi@PsN_mq^Y z<@QqW7^cKz*CB)IaS&P`cPjo20o93!i!L(BF zCslBh+j^tpX4!rD9dwrM+bumcx1LM}*D9vZdAj0=3fX3@dFepbdI<5rE<;?p&IMAj zr$={Kg$SU=9uBLK8JI<2hWqfJsrP59< ztH>u?YrJbjwE?jY3dnJodx|-_#B>_kqRpDAMyhd#vG}dF6Ku96d?(^hr6x z$HF9DcnqtDvOJCses(m5&n!9X-AA3-+w5#qJDU;K9%`54o?cvZiHx>@m*Y)sXb|L? zN!r8*|pImmp@(NrWTN36Y(P4;uRz#ObiWL}l9y;BXkVH+7)ee;@V?Zy+9 zfDXvx<1dZO72U3d2RRTKm2N6GbLdZS$<89WP77Vv(aSrlF~?|ims0#~IbYtJ3`rG! zrNhfUOr=}1p;95z!Z1|Fdl8I_YD_BCCx;_QHf9Y()`>=u!!Y?8g#`h`WvQ9voUC`M zLzOE;k6&}$PuXmU<)xEe2%&X!dCa@@f?r2Y>xd+mGrVlw^7M}Npg7`Y(%XRGTtiRJ zx4erDPd5#zKSTy;b{@NhcVbcAUpJkruz`yyCOz{B&cuAke2bus2z8N!?INz;+4nvt z3Ny+p^dru(`WXam-%5Ppn;7v)r$FM)hX9FkdwKe}j!ieqRF#b692#k&(rl+|#t7QI zkz$0wbcEVHt+yW-Lshm@U7ycTjOaij>vt0#E0 zvOKpb68=Ik%=zY4h7Q-@QD{`Ydol&Ptx63M|N2A(wZwa+L-Jzp&EH3N=y6x9xt$BR zx!ORW>rwfT2kEklRNwl%vzhxbGrer?Bd;6V%Xz$wBzid_!aPzE8s5&2jdANvdwH?% zk21~Ag^3uog($t=E~IU!MnaBH^N%-;O1Gu&-MjOO_40*L3)@wEnnFl~;@b@-`@73V z?8(f>W?``A>%17~SzIce3jws&?9Lr;S-TZ>;xD9}a#gWYSf8Bxpz$_sRJtQ{h=z`u zIlikvRhnD4Bl?F3RLs=wQVeIT(=Xxl?m%nCQF>pF}PDu2K2+DPrt5ISLEFQn z;vf-+BH_R_ixo?eNBFyE-1x_7L^xi#g2e1Ry*@m-n_O z#09eR(o?s$Dd_BJ`*$aN&Tg*0#E+FFy_4G1a`Fi0R@J;BMpRQaQ;Dfw?G}3qT7cNz znA!YUXJkmLO zbp~U|%nkN)Hy>LoJ}&KQ5<>;Zc4CfH$uKd=PO1l;HkDAwK6`d|l>60tNZpx&fsYO1 z{6fOn_a5Z3+KnM-a(X5qPhV3e_Ulo;QlFk)`^@kp;~<`e$%lIxV)f5HKHa%ae1|Hp z%W+gvQ9hI0z{Hza!uGiAR;>P=TU>&@kZyfUH0J}$oRA)yhr~rbsskboNJEwm>IQSG z=T>RkvVOk7Mn&S@&j+7#_sFL%yr)4$tU3~3*quPIqU&w%c9x2}<_096?4w(+Je;o4 zrEYXQxfGEzKY7c%BDNs*i1!fYlRRseYja(fTl0C`r*6(TXDr1Ixm+21=0Z>sntQuz zj}&$3iLw=qn)j2FIKd)XO**8><8Jcz)E9YYb6@M#3D#PlCn!`-C0%4;Bsf|$@k*N{ z+7i~@0(+`@cCjP=qB+lOqt!(n^E{@`{2~F~_ig6{`*}}Q$MY}p)af6c&@~?^ku4de z&5z>kPP`n)cW#K)qMM^ey1LK#?!k%vDhsL0xv|#nQs~uUS+VCS>4Km6`EU1fSx*>W zwM3Drg}du!>}(9WD>SJt(3YGz^3s~=*1$_;xM#PYRs$E&2qk0ndtXETji)t~Pz z3#0uwlhsdo+VfpYln6QWw$_ltV0pN-NWV)ws8Q{`TCLdK9{&X|`x{y>AbkPt9vns; z#F7NEG`FDk<}b>tlSwDez+s4nwX!M%C9UW+Q9DO@?n8%jX|q#Ckd0BwM4j6gJ*UB2GPUd zqe{~B99nxFtRp)5>F>!8E}egvyAeh%be&<>(|{ch^G4yGLFwZ`aodLV?fWV-&{~aP zktSKrB%U4cI}XXRhSCwNL&&A0Gd_`|d3_1cO%sM47G0vnN2y&(;~`fr*#*xQTKheW znwq;h`pz`WBmLZPnr&{4zvz&-RH;k{jqCvU^&oqZA;Sk%q8=ZkPj=nns2HtHJub0! z7(+d!91vlh{<@WlX!`tUQKV0~B{kRM>ft(F-|`B1YUy!%1uw<)u*BmJr7|29_SVB- z+K+LP45AHRq)BWA4<3iPsaTrZbzOWKK$|k|oZ08zCQQ${tX^!KHT((Y&dB_sJbokD zo|I=(O9nQb{E58tIA`~G6DIZyqwdqTz~>p#DG9Wkcf@9$o+#Ss@9OGP(525}d>Tb_ z8?`Po&@vMs&Wco=ia6vP5s#Co?RZ{g?bb!ho1^*pIo3V#t7Fwjm+Rx>+l_8X`Nl}~ z@F5sXo;A3uK+l4#b#g&I>shh$s%8Sy9g>%!VC}Q4klKg6XwdXiu2!i@mP zmO>^~6n(k&t9YqthnHsUd&jwmdT%U>yF|qMUgdrU@ik`7MmN@-ZF4PfUO&OR# z7F~H^-YEZHmW2Mx5*0ZK5gyLR4_nVS9<8rDTw8s({^ZHa&9|R$@DGqs9He15%)-jS z!NbQVAav>!z%D4r$Hl>Rg5?MU-62Xc(gOtexVSiG)K$)3P{pS6%I6fp&;H2E%PA!SY>9ov%Z|<88x?rrUe3K5tXZ!j<@Vg zwNA6(p|c%Dn2sy?LS7%1yXhC7TiF0>Z)=6tRTO2V#7BjPhJ=KMN5!UP=NFY#RFoBE zC5GO+p(@7CNXN*+Bd)A-^}6xZORBQsLIT1P^6GjfW|o$w*Dh$S(H?ei|_6zX$ z^>ns0*4Nh7)-^D`VRqA4Petk^)r-alRA6_9DEY*v z#CoZaM6e!9sITk^B5aT@Tt;#Fyd2?9a zDmbO6y0$Ve=9c)zMdDk19}f_24iy}t;5QA+$jgcg_76>i3_pIqvpEaP^ff%EsAYCP zC^9xaIlH{M2Q}Q+QkoVUmsZl$GceH8Qd?Qo&^a>y==rntxiMr{JG=!_6z{3Z@UX6^ z^8>rigSecc{P;VkpP1F?@{h=d*CGe%gBjxcPhUAta8eNo4d5CQyqDWKyYcqj%f+7j zJIp@WRYXUa2+{H9b6>HZGcZu*A{@#JeBc`vmz^p)*PVqP>}( zhQ51Z-N58nS6Q65g}#=mf}{W&EzVf}oeOGrv-{Rwzg$MQH&hm-256AxJJ#^UPZHA5 z5O1$d_Sg8l_g$QW>a22WUR7uBy#Uon>zTzg2OrALr)HEg678X{w z4WJP9Ss~VE*~mV9BtFb1C8uys%f!*iQ1DYz)2^76Uua}<864RUhcxs(Il#!q#c|>= z4LQM^1w?gbl%Kt>6gP*crmdH^qps*t>Vx#hIJwywh(8k?J%1-MA@YvuNqUx3^3v@1 zBaM)ThW1VFo4(eBCGv$s!&SB|JQU(Qc&!yH$1gr;8C-m_HUg{fnEQBuoa_Mp-h1$! z(ebhI@sWY{`iim|Xlr$hHpw!zURY{MauM=1A;FuanUz<2#Pr-U>K8TS`I!!EEe^L= zrH9^e^2ROx2qD?r7@ag%blrFmj`5Q2P;PNZZ zl43l3kt->#i_asYydcKcH#)ntX7N2f-sT+U8Obq032_muvK9~!5aj1NahUGVK}s?b z5>gV}wf4fix}N^_)^UPk0z51XOotDCz|7zs6O$HYKZL*i37>FpwKd*W*QIRhnB-YG zQLbZ*)Cb-pMOF-HNkVxb}Z$q+;B>!nSDVZD5h3U5>wc=``8eS=ei45ZGZoI@N zC&PWQGB+`VB0os_`PD}XHt};B+L~$?)HO9VwJu)NP?ndKlarPZ=Huq%U}vEr#>G8A zd61HZT~g(O@`X#6&QQ+{Y)~*U(H$h-UY(l8APT%>Xb)+X;Bd*D;h`hgTtxS@R_Eoz zpOG;z(vahCF3zs54Wy{kGKwoJs@{rD@Kn~0gV(6^W`3wAqTGG_>CkZ&8o-?0k9fxq zQ&SxgkUgiOeck@Hy``m{le4S)9Y+f@3v=U38tPiQmoHvWICEN5NJv~pT7+LnQvR%} zuKszhgA@$RG(@;~pI2IQQ&XaS%ycg3+$mh6I>tgng8y-S7%?!^R@1h{z{AIJjFA%W z?VGKoO8sHqi8H>*MUcj#5F4MuE_hB{#r&t;4}?rS{3nmIo@8Y{%)-lcO3lK>!C3c- zotN)@5AUE5ptpm(-R^q(+;?+zakO)Cb9Jz?wlULJk>ovon1xG3Oo)$%jh0~h!@Czx zo<3dZE=fs9N=*g3PI_`uUfc2x{sBsQ`h#Q?Wbb;ahVU7WA3w&-fMq?=_GpSapK)g2 z%H}TayNQ~D#?i%vrI&bQw8we)dAI~5&YV6aC?GB*W8~@Y=XKx9FEA(|I65gQF(oZN z=)O;ISa5K7WLSWopO3rERh=ug4wpqiBRP#L`sc;C4wJ06*CL+b6MlX=+FYDhSW;42 z-PGFD&@sKaz4iJtF(nNPHwPU7F4#Wl*tpo)d4&bI*jXsv%+Eb}k3&F8%S`*RzjncDlWRh6OqyadCNdO;sg%NpT4Y{$q3p4;^M>r`SG( z(ooaBVs!P2yZ1ep+qYfs`}&6^W~8MTRMbM-+nehu!4{jBk(QDa7odLVkfOfWQR$ne zM!t!Wx2?VWJRMEc#E;>Q_YDmVPmCepT|MwdXy*WWeDUQT9zH1zBR%8Mqs%9TC8T5| zjuGM=mDkbHyJ=;jr=xyBQ(NWCsZ*z=rNji7@m~o*=(a_b`(=)t!)yVj&p}EgJ zGYw^3r;wQNkoc_plB(*O);?q(qO%>|P@G@W(ome06z=PGO-A0v-!C|`G%e6SIKV%^ zMN6EWbW_ERHa(rSGH9CdCEIog_M?!z}1Sbyc0YZ_Cp}2Z%q4tUQB6}*P5GSaSt$*-fV+CUM1Rb68?L9Y*auckkS}=Mxwf6Biv8=<9jg(el!b$c)6aoJfbe ziKSH)Rkbx`dHL1#)s?k%wbf-sg}K?;nHiaxSsAIRNwEnr!O2bVnocBotgpVfxVELW z6$XcQ&Tp^RE0xAX?0<~ zJ{k3~nqEOvNO|DQ`6Ej za|=sLi*r)r!h-xf-5vCGOv2lzdOC-D5twNd3JLER8tm^kP+0nOzLqSUf?gVV?eteEgMZWsLuCjqOVSf76 zy{_(>Hbg^1b5kpdyQ8(KwyLtctfCwk)pcNy;>_fz&|tp@9!{3m zJ*t=2rl&@RXXi#o$4AG;hx&TEx_Y`h+X1L%0IHz@Qd3=CRGgQbQ9t?|hm05>=hM4a zueNvJJb(J+>B{;pF%3NlAu-HLxZ~&opLYW@>5{Gd?zgMhy-P^dY*tI@?-d%}q^>wH0Lr z+10(vp9x70lJ33P#ryDdYxnIA5g{J_`?qBD^b9mauh&l{EGb zcB3apCMKt*XJ%)nF_>wflQEdFQ9z^tz&K=YcTZPmH@vx}v8J*lKRY!sHZnRYDlsK7 zySX(hAGI<+H#0RiJvlisK7vLA3ipHRSW#+hs4FkeEktj;#V4kqBqJj}Kt}j(?*JYF zB{?4c-V?$jO!SoR=cg8ySEol`;O;zIT|&X?iYgIvvr{Wea|`qHbF&L`Gt<-4Q`6HJ z(EZrR$S`UUDD=KQ1fmPp+}sQSfC_W6GE-AhQ`7T{OImu%Ba3DqEiW%F%uY{_j!cY? zj-ZEzkUd?1({N}#q^dF>@`jjzn3Uom1tl>d85ITb-Zl;%?%Q{`tE&e{2wq`k7MJH2 zM;a&IzIeQ}IEREnTKX3rEicYYOwKRPFD}k601{0B0)g2Ao{jA@0ZS!BcRLK;(g>-p zDlaW5E-Wl9scdZNLJyZ`cJy^l%r7lWPoq)ez(5}xMxnr3>uzgpg*MdIm3QDDB%`FF zCMG1@+rh!Zc?gG(qA`Q;=kJ%_etffrnVp;k({Jc`v$?uBJ3EPhcXo}fuP!Z(j{qo( zbF*`RIx=Z0HKD_WYmYQqN);1l6IU6^0R z%+Ag%L8}%w78a()XGeOF9f~Xy z33N|=LuX%SV{LsKtSQGPeg5&g*Nc!JN4Sg-?w14!@~L=B-)T@WB@h{680(u`tg3or?5 z>x-gO+9ojL!=qrf*aba}K?6#GQO1S`P{ZS+ZS9!3v8nmFd4L1ZXl5SZ0%*XB1LT^T znw-QU!qR9IjRsf-hfo7UgM-6EgUG=l^f($Q#Kq>2^bTl2Zbd_L&md3~gV;1Q0BWK~ z`{3Q(L#QESV`*(Gys@z?Juk1YwSNGK0+Sn?0HO*;1xjOja(sB8w-4Dn1TTb5&(F*P z0h*h_V1dj4;hqNxzyg2(hXE-^M*vZV(ZfSS016T);=bOV-hMFZKtBpOhAK?0>x5R6 z*F($e2T-66ctV1Tpe9h;sG+W|?jb~dV^?=`V?km@Xj}&p(cgy!J3cW97BdzWkc&}N zA7XG2QB&TFM1p+u*!;r6EM^+84NDxLF|msVE7?G^0FfR7vIF?g2bMnqDDLk4&91Mj ztG8#MET$T4!!0mK69m%T2e=8C1^x#5dVxCa?CfmogtvFLbPn~y8&aY(?gzE?_F&70 zfc%e)jRFas0Baeji@^@$II6P;+0+iuA-mx1Lo>@W69CG-ew+iMgjL$p7$7^tfH=d$ zVC{fq1{Qx$H%L8*F0Ar{_vR+Tp|EyHXDbvK2u(dmBzkCI04&Jf9z=&2FR z%>3fq!ovI_Kn0{~ZU$^0W22)$dce{`0v;d{y&<23KfbH0w90(!`1t>K!fkFay zW0&(V7!rwS%&Q$3p9ITrcJ>S3u$TbLfMy&AkN~2=L9mef`mwa>ZpS8gdmS{_KBv8= zxudtQgP^Ys4*4ormS5;SA*P0)m5FZm0H_Nw2oZLL0hz|a0srk0m^e^( zon7r9@(2fZ69fv5ng-6W?xwm%XnlR-zHhatxd;4iFBVL5Lw$91aYgt*sN^%mCAYj9Q z!?EUKU3EoqQFd;2QeM8FdmuP01cgOpR3eZSg^jIE&}Qr^fC0M_`wH*CT7x~^y@Tip zu#h`jyOHpkMqqAt?;{;T4G#hgKrw?&atOO*`ms9(qNlwb*3yc#0ISMMi;MH~3o{A} zujXVr0e4N;peR!LnoqzT&A+1}ODi|9i100v_v7g#|+ zG`l+i4?0@G#GrKzmF4AmMLAh{$yu54*+n5QJ@hkkYszx7<01eR7$Xuf3Uy1MPNx?6D-cXpb>b;fmvPxtpB2d{Jh-U+`^Kws+tG&ax;PD zo)!}nUszgJQC(Z#fVHSwfQjDJi2ZAXHUZ1HwFMZXt<5dKYOk)VC@;+^%u3IUON@_? zONP0IbVsD+XJurExcFxQ*Ks9)Qj`yln%U_o3DL1p5oy6!oxMDK{gSK7tE(e|ic50} z@^bUDGc&;vD>i zGO|J}Y@D5MT{pRN&(lR;(J(wSBRem*pr{xiDagsnNW&g^GBUGr^9l+JiwcWMOThuF zq_6<+Au}Z@B`Pv5AUrHIpS^}E=0R}yE!QZ3B^R77Q_>QXlj0J=X*D`LC^#fA#Q(ac zi3SxpzpQi+tw~A(U4j!wV32!QMEA5t zpoRZ~OXjg9IjI?-C^{x8DkdT_0-VFap~Tjwp}?^a5)|a+ zec$8m1An)(e6m*Yc?nT5VIiS`0scO|-d;Xl_dVTQoSmE;Y;Emq?d)t_y{#m9<*(Q} z-Mqld!Y|3mel0lI4~ron(9g@m-POg#?T-6hk9!_>J>0=z-rd8~*B^K;0)u>geeQaB zySTeM-m$OJ%0p69L?UL4n@BzW2R-yu85V9UPn-9bG*=-F;(HQ{y8e zLVSIFy}a%^ySX|$J6K!XG`o4@#`UXL4X*(Am6@HTp}}=)M+ZAoMUE4+_#D;`?CqWH ztZb}pERFSa^$d+nZrn68x3n-fyJ=x|-NeM$%-YcnxZkXA-Y_!0Zft5~YIoJtl{w^q znz)pjnw^h#fbV_aHobGp(b2}n4)~;QIqP56H#EL!*#3fUeeV!(7Sw5LtRZpNmWZ#MdQ5gMZ8qfGn`y9%GVs6oUF|) zO|M?Na!FfDOI<@pOI!c+Y2ZS-c;&j;P1Bp!_O|9GM*7-Xy857wf!;+e4HaeOv+~lC z64)duC3*U^l(ZZO6e=oTP?48Y)lgQDm6VnjAf9_peS)1^SVZ)+q?D}e85vm_;HCnB zNYF%5QbJr@n4e!z5cvJY#7-%ko>HrzVBr=PlGVKoLXl_XWyD29g#?5IctJ!|jDni+ z7#p{sh=hy`aR2fPo#N*_$;Ed{^2`~TGoT|;Q4v92?vre6Y^?0;Y#f{%TztH|{Cu2z z;$l1;yh4K99K0tF^tVjE-o+mbjsVFRir>-Xb8GvSaG7}d*jSFS@rj6v$X<5vjZDoesi>|hE3a#6s3^=Y zE-%SRj*U&qE~x@}wM~unjg7Uy-;x|178>krZ)xvjV`i+cf5X;28?s~lOqI_Y8lNh(h_35h#f0JT zw-FM&CFNJS=6KILx}>?jx_NNs5e_x0h|)!at41a_ZCyRRd;&tk!oouQ-EHmM{ea>N zkB$oR^$QBPf6LC+%0yR5N?cTcOF&9iTtrIzC^_8;TGErU^dU#!e7Xjg6xj%8Q*iD( zw9L*gKHFG*{1Mzr*xM00aflEHpOl>7^#U56<9X32vkt)Va@$xmt` z_>Ny_knK?$vQxb*YHsO$TSVk!1Z$0nN%iQ7(PeyECdT8!a&qDVeEb4}Li{JFNy$mx zq2XO!(3;xfFq^=N=B$9ANJoK_7fhYgVn0~H|&6Z=t;ryUVIFSuj6hbltugrsH0 z1VyGK`WouH1_#>89C}M8?`--u`WX|CVMI=8)5tukIwQep`NWpNA@&116gc)&yO&L0Otd}IoI6nkyw8Q1 zQEr#cp3^lkHPk$(b~}HCnp1%1BqzTh_tAr-WK=X@6(437l03~#wOs0_FDoJ{eZlZn zc-iP1eB5f*=n zk%=~%>N@(y7B<#53^Wylk5Lhkv8lNP_&FNr8asIfMkOXky6Z^GX=qANe_-|*Wjt$o z3+%lQ{KDe1N@|54*eXU#u_90CRqHaSM+S_r-WyeO*ISJ#e(=XT}BCXi5Y1&U2E5k%pRz z6z3rdxk@geW~i?$1meHPPja#{QUGu5F&+V4ZUK2C&yWboDPbb7>9oIWZm3O@d-)WM!qqPYDU| z@o;hR35$sdoH#`A{?)6kH=EBMF3n92BU);Tvr}S2echcLZ{G!>oS4k2j*;1=rNyO{ z^+yjE#*rN@4b?@d5q>_wNyU)H+9F_{W*1e|)WiCx9=>?_bY*%JHPF{XdXV8L8z&bR z7dNk8PEPmzFv$ zCV28NCBe>{t=F%ftzd?_!GRav22P@F@V3rg)a1g$XPfVKKI44;`1aMtllA4PL3mwd zEgUtwJcn+tEw5@ui~t8M3V0p*hQ{X}z5t<2Sr8z)W^V6t7Z^l-{=m2j@bmR@cQn&G zf0`F)L3SQtfJZ~`x|Nfghvx%tZ(uUrzw2ygdE+{;64Yb`j*xy>Us`*$M@W1C|I_B9 zCE%XH0A~?!nUBpq+}PZF@py3(I7j-1r&gc8{jmMv!}cz?wS@cO$=v8LHom#Ju`;TL$GcyZoJ13Vr9{0TfS$uu{{QQ973CQDm%iikdwM%O9qMU~* z@jtxWc=Z7fM3fmA8R==LNQv-v-@ktOd}Cwd`HNRu?|1Qt$PUsm9XY~8OG)(U`SQ%v z?CQ&1Lg3q_B*lNXHr4}9nZs*)lq>?$D!>jiHZi?vW?^Mx=Xl%I{T^T%7t__ zyxRm4ySlst(#qQU(-&KSDF?_8(lQ-A&d$Nb!^6YP$D)Qx^QsqsNv;FzY{P5UP4^k(;B?#B)y?6*EXn;>CfQ%7zk~B@>%Y_F zpRfDtDf}|$$1%T`{_|M=phxVmGB6k%2E$77_aqBkfL{|FwvSB)?3`b6zz+ID-9PC5 zuNVC^|F2EJfcuNFd!&U>=Qvd0+kLi1-0MgHhB(qNqIH)1L zkL>4wusY!@p05|6e-GM^BYdm%)2->>YW6c!KeUzwfZzb`{?Pk&z)uAFX%atm{3oz} zS?^b$e+!u07i#T~zn_2*!KJ?dl9!YH2@xC%algW^y4}zCMgDJ81p4-C`t2UR<^Fnr zFTlR!0~a?owS8mOkA3YA@Y~&g@Ag}b?|^=6^1EI9*zuPRTd`oih|c%oFC+Y{|6jfR zdEM_+`Bn|PIsH`Qd)wch*bljKZS8HKHORv@`%?7f&95N*X~x%1enHUhXul5pCFA$7 z$pXRI@8PF*e>(1;RrtkFza0Nt^DotYM_~VKjK5U=dvpFa*I$dl&szLU=Kj)Pf1%QT z@4qMizt{e2BW&@{-u_*19<)p9EE=v&(FvH z1HSw%i2whp{7*~VzdQSHiu~X0=O1e?kG1F8;s5y3{3C#hKNc$f@EHKYq5<3SA9e8$ zmSN9~KXmuAjQt|{w$^`MmHzGo_Rp}tB+%E){g+=9{%%MAOu_d7zl@80{sIFFEGe- z*EWC91d#75W~|3r?n}_(Tm5fC{;RJ)jQe9J-;4gJ^Y->XD*exwwE_D4B7F^tVIy{5 z1D;=Bz8C!T?w4)sQ!2!P2r{!@b{M;2;9~HG!(X#P@H50Udmg z@_=_g1;K%z@@oY8YtZml$bQNI-)GrR-y`Z+Sbt2wUryxv=lv;RKLUzi(R>;H51xMo z^JjDT5%iY;w#+Z6C<}vObHGCuwjbx0l?8$S{TY3sJ$S|<`4Iy4drZHZK;dtvU$pqz z$2XMU?i>7w`sZ!Fm4Lk89^e4APIV{*{q`yUow>e5vsRs&7#Di+(Ek75?Au`(McYHA#LS&X1VB)cY5P z{3}g<1o3N{{gpocSLe?u@c#g}@1qZRUd)@*UnLCNg|ji)wkO;6WZRzF+1eSC&7C>f zJ6n@&`^m2F{WHGnbRFL7==!bO(eeKmQsrj}R>b4P))mej%;O!x>vK$8SnX@|QdoCX z5k!H&IzmfK$KE!@QA9<|S4qxYMaQhsyW96b+^Y9IQRAzfpqqU1hwZx6u3r(r6`y`%b9Lz$aqT#Nr{L# zTPLY#IeXULuH<=ki+Sqkh}UqZ@itlp8M|1PhL0xsH}Nz z0bAtF%;Xu|bHu;v`&U!fR=0k-o4g_LsL_J`*te|3> zL|ZsKKXj4{XzG1tdad7M>x71#PV-uqW8^K$#pUnvQVVgFJ2BY|eQo*L@&-!_NpTfq z{O>|@MrV7J5;q(lDt^cK724XlVb2ZdVbt5oUef#x!rOFP%jST2b9VR=FxbMvL2~zW zFB2#0s<|YLkTIi9GNiJTmg}GT+TVlIN{&~V(m)~(Cr;`@qVIDJdhs%(mU7kK zJrn`A_C}OyTKR~rE5GQ;P~)vv(o}J@Uie1Om9(+F`+mX1Mb_4vIRQz;qE$mD(K^vs z{JQWPV80xhc>fhDzMb8x7r8#2ia)+SY|LF5UV4Io5Dpe_kN}5|v?}DKkM3e3B^ckk zOk^qV7;8Yc+ zluw>{S-dB_P733MBFx@6Ubl|x!>m~5&<;(uM0(%JqzwD(8wI22Se zuIeo;f zD+%`5E4`qP91Y-I)eK7F0;iK@T6+3gZYgtEo(k|p8$-wDa-~eXhit&$(Yb6=~i_+J1TCsXFU{GG~J}sVZlm%+quD-bf zG6(Nc$~-xWGnATpVu`iJo~Zmw2TcVE0V4j@ww2~VQKdQdMi>2qO99_(__l|j5ZS12 z@)H5q5BQ1sqLwPV@l$7!ic=1RERqk4XMt>qdc>hN8mAE=0obhWZEM_jmvm6LRqHvq zz+k8Jv1AWwTvSOD(&IbJY8YoPorrCbU)m8~$YO6(4JE(-9+m=O?R6Y(g`S1&sh9Ob zb+Jl6DMsKPALo=A&V%t>nxWV$vgc&Kk{a#QvxMT?2Rg_mPGlsWou!;2E;&7cV|N2_ z0vRkJ|5erIfV20!2VJWbs!dpY3GkJiW*)bv*W=n@02wJ32E#&6i zyCdIk)DOhtk_cs*T%q$qR&qolS)Abr&5LNF*J7)v2pB;h6{TZGpk@!IS)OmYU`)4- zZHV2NW4^1VtJk5;Z^{CZ^w zXE%F=$+v@aSjb0$1e5BP*rY}Am9b%u^d^&0Ouf^Ss7tTUvcdB(W-&|I zJi2p5zzUGyH6?BQvAkrmX?0XAYSdmVFNm9NmpjUKzf2C{8J2Q}{t6R8+#eaP`(+JN|p{^mVXL^6e;GFK?8X0h83kK=Xbd zie0P}{c-u*fOdEbQH-x&v5fVaG(jFDkXlIfGwv_3FD*1PF1rQmoyTWC>&GLEp{O zauBLS6PKN%8#)!0O_OQq(hf<@YK*!?Xug}YA-B7zoiJA)Aa78S@0+%EfQ?jPRkk9q zSS8c7%(EF*0XRI&;uFla7!;jkGmEgrq?l8DM5#fsGU4zVzU_1D4Y~^>3Q{w4U+Nyo zr-R>`Q9nYcVXpMK;JNNj5#U)(p)=qGlY>IXW|R$aEe^8!0vktWT8h;8MKYriQW%Eq zTTp!wJl#sr>00(7l0^`u@gq`G7DRVV?IIE?a0aaq0^ASJq+WI~iIrugOt1SQ!r!6T zV0c44hwds_z*j^#o5rWXnPR()r3^goZ5Ol+pmx!sC|dBVTDl}+Or*N8gQ&qB$bDh4 zgA=rur13qRv8pH>LJ+)T=D4a7w`@ncG>ps}LD42vG1=qrvEu|Dgla=8D|mAb;8M7` zfQBLB!`eaNqJ;mG`&S?KogM-gSy7O?JK(qr5-* zyzX45eApfWV&=ecc?+nvUc!;ojkz>JVRz|oX0s^>vySiRdlGC;ZRtTvGzFHm00G`- zM`l*#PF?v&%xOo4yQ6ASZPk+3dp(M;@$BBAfoN*DIGrIGkFRXM z?S95XtV?evg_2r2n^cg1Bto^(wJ;bNS^i~{HWdRcIWCt{4y5QNTSz^aNarV3M~34;F)aj2#L4Z0xY!lPSsYyKmEM3b9SNAiY_WGJxwkmE z6%Du$e4mw3mrz^Y?P)E~H<1S=RH~0vM1;BODcUt?!1zZ7!T4b)emV5s z>dbpC;S&JXB*{ziXUcoso>+B7;I~KhA`1FBnhP0-*!eB^gA8Q#!O@-mErXBE;;vy0 zRUU)VUkvGd&k&keonleDr%vp$P|3j+ZqJgHQ5&z)qc{wrI&qWLH!fkZbxBK99;wHe z@LglHC^a4j#rjt~I71>N^&ypW22Z}KL%dj#)steJwC;7qrWjqpt>K+DDZyToLL|2BPYjIk!HEzu`*ndI(ZV*4g z{ifl4xhxnep%^ytEL;is)zm$g_uOUI*jYC(H|-=Z>26h?^`qBm_cMT4yYa3I2VK=q zX>8ca6*Wv+@^yEHNK0bMf(vDjQz4g!4U7gn@#r`?g9L6Y!Dz7t=79S;S!pP6eq^tR*|9M`b8d+-aGT zo9S?fy_V%UO~oWnn!>08q>lo&j`R1b*RxEsF4y2yd7y)H_s@t8-FLQzB*Q3Y2fQ2Q zNCeLO%z;{kWB&5SQi1m(bjM6Hab6)KW-6Z_T8$8~8ZJHZmzmfA(mI{)bF%Ax~)oRk0p@iiZ; zlfDF2;WYB}y*(^q>5buKGT$=iGjRi+fBvr9Tk2yvtgv5OEkoJ}q#y6ookX1_xrmCLqrb@tbZ7?C#xBZi7hdbBrkGnxdc`z9g}R&+A1Dxs))$s3=hp8 zyk|f^pR#NW!!5p%tMqKcdo_q_^;KcFj3X)PY_zz)5lYNQlN?nHSwQngPWj}^O|6sm zMRWmh+pBfjws3_ika5MbXlfqEu5kc|iL0#nt;w%f9@-;#X>(e}B(4~b&`(KpOAq`f=p;8G5^2cDb3ev>K=(0W(i`A{TB7ZWelW=2;gSgbg{-=SG z>@9_DY^C9vjE(O}FVCE-gJR6Hp_ZCC7kx&rPZ04x_C)6=3s%QJvlmF!PWZ)#0i(e&b-0r6hObbTQPXqS0j}Exv_~f z0MMuc+j1LQ-&tD#P~|i6KutoIXS`6iiV?VCL@^Ng7mZm)s|PMiUsK} zn0~gBCxqz{n!u0TS($_(1lbAGoD_vhiKm4XyLd7iv+{(6h8sLJ$r?X%iBy_-=cuPiRT z$fRcKD;R|wj^I<6@u(s`AB{s%(~x!JzX+CjWx9ZrEHwnAi*Jy;MI~uDieqK3IUvJ> zzUTSX)?C7{gg{E@AcnEMy2?Ps>YT`T=dFwg=UkM%;Li6cYhz*wLd}V3+qB`!zt7Uu6{mnYi+w1ns@OvJ1_u9jL(pyWUI4lqQN$&7_tc zMDysrk})I_*;H82=r^WoOsFY_me^I|kppU7MBV@q?zE1vOxKA=tPjfmyFg^EIP;WH z)g-Q`Mz`+T1X_*L{FlmbW9)EDRkLlJ9+lk4B?O2U2$T2MIhtldHS*JG9i%F55t**| zfK@w*F!|cWj2Bgiu0^5;0(ruvS!cmBf^S-g`^$kL)0sWBjMI#IQ}S>z%LU!8>R}WT zsU#02n@ycvbfXTqY0f-Uu9r6R+3rXVk4Xalir6$Ot@JNZqJ(&;C2nEb@h*x92yEs; za5To@NGQzq`f7Ea^>|`8EaMiS#?^Qg#Hxy|q(2j@F=S>5rOZ=$MLw$tAul|B@0dO4 zOO&6>CLG80&?MRH6IX33BgT5+MV1x1 za3$Q+@7UzryiyG9N{>wxsQ_GoGmqZ|q2CpqW+vj`5+y>ry+anOc>ud}8n- zX@ec+ESeHE3yHW7uNpA^oevkSr(i=U$B%(~^UWYP=argNRFfSBWR7_F7EJ~{lkD=e zRR6N?sxDD0EC4LQDH|tlVC()Uc%%?NSi@YZzf(JHaqVi}gE?JFA-Zicz_He|wLX?GNUA5$hlp~u6 zrEM%~RE!OpEHo&u!0295JZWpR&#)pxQ-um7oVW3dXI1BjIf-GY%E80FtLe^)wTZNg zbm+L5@F-AsrR%P z^E8d%w>2~N`#nV4Aj6m!>DZ9xpuDH47eA1zrUqKy0%Db>^Chd51o@;qn7p}m?1^M- zt);AM+1=>Lzp1all_p*!^oZ0J0U2;+Q{Rr5YLMYJ=InYo?l6j5G*9{Ny*xSHFY*mS zcGiaSuFL(fI0P8Ak+BL2dfvrmIQfD0RvV7KFR?@Hj<(va<=zfdrS!*LV?3kZo(uHe zyio6@8#+ymT|GOqBGN?sA>4|o3VK&|lb9d96A*!E45X9!zLPQo8%DHI7%P!|YV)k- z)DN|Y%?9$OIK#E{DD|Wc(gArv_H$R4!IkBi8JLvICfYwmirB2 zm$Ntz!`SOK2p?z=dFThN_n+qNF?b{yEi_TE6Fe>_itukq{dNdy&UP)(QpD(qIVLlm z?rTwgRSoh4<1Rb8?E+Q*x$@}xw2N> zDiRHaoW5T&H4Z1i1sf@0EnqrIQ4{7drigE!QRVmx-diE-@Oc@XgS6FOPajHsjO)OM zUue{R>7vrob>sy)JyX}3Uj2a=UU&x6uuq^Hr9s@8$Fdpx4rcwi2ee|WRj+I*5`@t4 zWj#s|4NnkKrXOZoO* zT+k>=`mxlwh-hGJ$|{7#tI`|{#8pahaU>pd8i`=RoPl-w%B%AnB6fD@3AueW3)&zT z(aM!nm>cs7QL59{iEJR(jZzxJ{-$g=eJW!NIP7HC$TTa4FknTCiUbp-=0~4p-7xPd z5ji^QAAw0e-!u;FJc2`0SI#vxMjrK08Z^?X@{Rze)wGAWwhpfW3iv?-kd2!|_lRQ&Jb z_mFL){&E%t5^~ih`#1CUmF2`y7`e1=t^!!3G4!B;1bx*@*-oUOeLq6)uaUb_2_OM> zzl&scm^}`+!1lIWauCFw`eg|{sO46~(+&BdZ8180Ur-d%i~i+Hr9OX?cjRm=)y0T& zKS!KWPGW&sMa;7?jiTBAy2?qkU%TYtT8&!R&HGJQxxjqcG-CFoqoXgI_OYWja={5o z;WMi8f>B`QqUkoJ?%MZC*si>epaPpHEfUmN#|vGcv0w)g5i{_WhE#x>2oM||I2r)h z@$}JpxOmr0U++P^uc>Zf_F1)M+tkU_mUI@eJV(j3MujgOznYR|?5DH~q^~uD*5dkf zgNG@}d@)Sm(Ni?qSLvf(RH6Vyv~ugF5iq0RhaLY_OJMtJ4$Nn941eG3paDE`MJ_rw zbGMb1vfuC*T8h7y`FnnnrEds=g%UhOzDk+$Jst--)^uP=tz#Fh&xou)Mou^ltGxr0 zxdW)#F@#K+y9bIOwr1@t;cO$zZ-@ZWgk54S*%soMO2vLttkU{5wHS2HzbQ+}$JSL3 zZ^7(hbmLJ*mzTLzCjnTtmip^O<&uvcRz$BU6Drs}0Gkc_gjL6r0Xj9TXXP)PFf0`r|gAFUWfx zTs zU|MPC;cah;1tMW@z#NCldmh z$QD=S0Uq-JOg46$;hC$4TZwC6({8zJ9qAC}e&?LF5pHE=YfK9vWW4haURvuCZ?n=$d zSxBiIog+fRPTqS=&1s3KDrwain4Eis7EpVd9|~=Yup)%CEXV4M2UWOEz6GG0ne2ck`9>H%f%*PrmN98` z6H0)DU5L>%uQiHMoW>9lI-HhofPXvTCJol@#M6r|!O_aOv8rOIE^?*;0N-h6n%BWeeEm4q1#U6t< zEkc2=fe99Jt`N>EQ;5`BnemqKndgS5@fF)E!H$#aFcMFC8mUkoYN|xcNn@NI@iwAS z#BHyNH@S=Gr3d7uN?bWA@_W@47^^_iHK=y_m@jX?=F5J3rpqIaK|@DV8svT?v`7~l zuggWK?u#0BL?UN{QK@t#Iriks4^761`7#yxK%cj$1A??Z_531RM$uDkv$V0iGtAVx-oKi8SxA+954L2B{B1&;|PH3!HG>evVmtgf?mhH z(C<4pBAZa0a%@3vQbG2Y@vZT29GF#a1X|50Cyv3vHqqzkL}7-&X+={181JQ2>gH}^ zQhNPCb+!#Vm|hKoJLJY`NhF0et(BzqQlxT*?vaD`P`6_IT(Av#Ew61aM5?iFGL+t- zZe7l4ZZ&^nUst5M?4&sl+chyUsV45 z`34c*^FTh0s6~~Pl97latCB#cnu@YU_?$nnjqT2ir0raHl^3Sf^*bev#y}Vo6Q5dO z9o_htaB~&@{$UU2p-cGC7-s@4kA*655LsJv-Tx@PB{LAFl`aZ{i+Y+};-{$APC!-RbJ2c~4 z^SsWNr`2#gBMf~ z84n9JiL}aB&KQo<)r$?-{GRDvcRj+))r%NpvM^=n?wD3${kp4;9`1;iHKp(y)He)H zNE+40k&qbRhUAAY8OkJ;PB}482q|= z!g2e`5t^0_0}7ahv=PP!d1ViyAmQ5`B$3XffdgoWH~XmVRDKZ8e0~j_HGbU_R5?r8H$JUJ9j7fC z0xYCH!?~CPS4-qNfRjXOnsH%ayF^L1eDOdvJs>*SBATnqQ@HLUc!GG03$z!@Y95UV z(^`w?U}6V^xqEEfU;!(vK&JA*9o^7((seGWv%NwZ7Kmo$~H>0^)4XP91%&dGClo}|aE}eoyC3_y$Rt1zIAIsE4OIXXF!90Vrw?mmUUr!EMYlL@@2Bjv0;@xurH*8AQ zJ9N3V`bvCR=y$Wyl|x)-@a5mT@)&p4-OtHkc1GlqGavghG^Nw(lvj`e0@Qsj5h~;hClD)%&18aNx6@0cnUs0i09XWH#Z1q@MCUSq z>Zw`|`r)i1A4hMH%{|k`y4MPHxxG=Vn4+oG^x>WW;q7M^qgMBn zgA0Vb09{*_Mutjtz&B84c8QDzF;2!14Qa4J+X$6L->9d4=<_ygbcB_biNKlIf@q!h zS>1NSK)C8n-}Zr2B5^~!7$^9t%)MX5r3WU z8~@=cXmF_1F6cDY`&>*qB!$|-ZwjN0pW^7*y;W0)Q4ja2{%|5vBa4&DQznmJHp}d0 zwK5VYQdZ@x$&UX>z#V8)D@tqN1xbx}Z%ZV}KU#=M95Olsx;%xDJ?km-&#F%tfUapl zyYh3O-aFXTJ@lDyA_s6Bt>K=c@J))QH1lc{Al0cKSZ-rg{ZEwo#Yd1=iWih&Wf{G# zO0v}ixh_4={Hz4iP^^!h$=x3#VfKG9>`S zdw#d_(v6{O#zR2vpqvzkd`Ui2kBHGX9VuR4=7Pr-?p}4ohO$ zBQaC6#i%v17o65K!&(O&aE!(Hc731lo`;=&F4%fK$u+hU?(XDgm~bU*RZaQndQ~Y< z+_D8V+jsYK3vbXS#}G6%+&pM-kD2kO zc-sueH`CBZLly;Ax@n%vWbg~Rx76t}bK&nK=;(ZJ$>Milbvptp-n%cAyJtC_qj6a# zqk2l7!^+{D9~pcSq{PI9AjOF{7JFr~xbl)onEG4N1N!I2yRXE2X=>#>?Mk9FlpQf; zp`D&C4vP^eSyU+Sw3%>Y&S_jr%8iuoM!iW;Wy9hADa#mHsAhQrZGG=i4I3To#DR0_JOvLk6Mre7 zzNAzgKCJfrG$1Wc%S+hwupnUO76!!iHQZ|Lzm_)o{O)7g=h+MjSEjaVZA~ORTfL?d z0fPk58ktxI*B>OZBc;M)uf@kVtm3L%_!f`&$_;{~vMwXq%AtLr5UCa+>ux^{;Hh?n zbKz&w)ekBno)_llWY6TyqZcC!(4P92;?``qz34 zC0&Tj66Ll#9SqmVK0-iSG}ALguG%4V-E&&QqbhJuk>v>#%?vdJRu_m?0Ght9J8f&F zRN}f_dsap7zNH6;qc8V$G7Z8b2`Ci0{QbfhUDvt&F8wJ4(bN)#3&k^w7J}=}2od7h z6Z3^L(Qs){0Hky>Us5w$G_bi;;&OtCwgL;_ll=dT*8gXOz!YtGQWJfUJI3iKQ>LCF zSmBB0dKtk?S{1mq(gqXKPj9q+*wGj}7XbH9{yT8&FMvqBVET~*Sc(5BO#XuUrzbCM zr^=((qrlh$AQBbDFrQ}(Nf9qlw*Bn8Ef_!~>HHk=BAHx&6Cj6Ko|l7@D2g zh3AA4!ib}JnY`=UyvYwY|5a&6T4JY+mi$!mdjqt*jGsV5BQRpEC*T$1mhB*KH)bb_ zJy5^-yPn6UAN{2S5ee#g1X(QO{_e7IE9PhMqQSI0tepf*)^n~Sh<`tX9P5YlZEmXS z;tT}wPKhu1y!t5GR|lr0DQ_+o=#>*Vl&$p^p0mtL8TlTkPuuLo@w_l zlP=^%H7&2~dVRGiSr zU$xj84R8#RGBQMx!r9dgx!8@fot@e1Gdd#JS8k($7)mR0ZFwj_g<(T@bXw&~oTV*! z2`YT?ymxSRSQi`nnz=v}Mwqr@fP7l@x+|%acLmW?wt#SRvmQMTLv`uU5U#u?gaDXM z0s=W94&g6*rB*Yy{f8P9dq3@L{qQT*nd6_O%G=!H-~hr-0a;4gzjdg94q7PX0Ct6- zsF8C(fr`1r@h`yqp$ms1`%?yu_XK8#8cS5ir&z69OPBWA)>Gn`0Fo?&D(MOe)#=+R zBPCuQ)G;L_xXo|FH|1w>7j)ffB{w=elZmf^M?GCBA3>npYp~59cDlQ6y@#Yow8aiR zm5l_b+`f|ZhmF_=nyEEAzc5K&w7LgA6vWwu+a0fnIJ*+Q!z_EiB<8!m^sj2o{!Z7y z7BzM%BDS0mrJmTi_|~4U8Kxe`uj>4nV@BHTu+V1>IdO>J0u+6Vt(L^iJp^Ato*AhG znjsgrB$kJjZ)DTQTYHZdGSffkSr3L!DHKYbTb`RU368MX62lR6zlqZJ7RK_4);7`* zo_aOTwd{m6sa|cQ&g2GGTGZF4!0x0q-f!1VwXfU?FutFHO{+49$1_$Gx;fWJv3ZSp z8sV;!s|4f8)iKGNSWUx^wh2EOMN4Zv`4-@_6Mpv(6Rzro`kD>yRUKS5SmoY0FZ)z+e=BD zZ2bWsK(AyRbfeNH<|zV+kSH|$m2mj!IoLKKnHHcej%x8->nQ#AV^D89qtY4$c=r$L zWRT)tN=*TLvULMY-V4Z9_#R{W=n z8zB8loE8~}zqe~KdCt zuH*l9HdC|Hs5zKhGyxcV)xWn1gWsm7d2{9xlw1?5tr3)A`LkjpY$2_quRNke&~83V z+W)bjGZ{bgg_m(tr3@G;zF-#RpibqD)jQ^^sKOK^a0J`P5#dz^8D^KHRJve7?N(T? z{u{O8`6k50#WO7bIx^9U^;h6D_>Z5t!$iI#r%+H;wC+DCek2jtQba0v0Y8ND>dscz zz5uhVI#t8vRxaVdel{w1RB9+OFx+pflI z*>sNLGw;CI&F06I`|&z0(N}BCZG{3Hn}Q0t7oFD4hbSvSL={(+q|{3z+E2-zcBT91 z)C~QOU_C4E$|=x@Gj(Y;xXtC+oIwcL+{HS!1bTYA`=Pe(@m4JlSc0reO^hY*F5Drk z3~+QJEI%RbUHz-F>oPZxmbY;_6Xqy7uqU7@20IR@L0`o(e@|_~wdoBXjuPZBeJqjZ zeSDpRn0NA5c?mshi&O6Z98EL+#KS-10$Yx!@wRjETK>ZdG>CJezg%Ha)yzC?Porgkbzd(Cb6 zD7}!MxRdVifZ}`<=8t6Ims;9=$Sv8J3fc*j`~yqS-cRG$Y0#SFc=x$6sW4XE+Q_JI z;vxM5X@ip9!tztvCx!BU*I$!s`0SH*NXut)QjOw@u3e;jyf70;!5<_caCQiS5&M4{ zT>Bj0e_&m|8Ehsgb@mW86}glKRw)vjX8kh}40O95nv6PS3|d;;mf&oqznKv8jy_uJ$ zgG~-v=)cT7yFDI%WmL?0-C@$$Gzr+W;j#Yg@SZ2y1~~F7Jq#I?RmWOX<7s!E#=t$v z9}VR^W7UQb9|hC3Sm2o@{IL-SxPPF63ve`lbl)CAW4O|ztWR_Wov4%+ORdqlH>*Mq z(f-DxDGr*WR(WxxgSh4XFGauxR&i;;i$2^UoLDU4D(Buc(*#P~0(>ivyrxs*#0@7l zVy|)&HR2n8dPSMJT95i-KsrlL4z31$CP)1H)i%L$n!cqVA>pa3?P(FH3ek_1Cc5L( z`D2vfFj7KL%UP#d*{hy!yzRXF-(%i+!p3`Tq{DU;CwNOur+%)Vuw|U4>`S1}?FRu~ zBh2I7l=L2d-6uwGNFK}%|0Fr>`3uZ$F&|573{6g^zU?Tauto$ykg3@TAM2LqP z!ImWTk9XE!a{Mkf)#W(qNlQM1jNOQuyh;@r=O6`M2ww&#?f)smHrUU(UeG`^mwZe| zHsSyp7%g`)2RkGF89lvRM4@G0Vr8ZCziuJ3*qV6#p6m|o5b8{;71iH<1)sOce}l1v zlAF(e3G6$-)+P3lCsX(G1^k7jx)Bn$i^Z*d9)zySMfDMq7|t;oD?l?IYu*$B65CkQ z`OE(LhH7xvQ!t2G4_Eq2PWGj!A9Vxtcatyx-))*7MjZKbsK#Udus&pVE^v;lnR|?a zMfAdgUT$vTN^FpxcZ<*4RquQC*9Xq?O)U|NKqq!B`~3~9*Jp{+4 zF@6DfrhQR|q1{hy@T5I|X!6ZAHaa)#Ly*kS%k*C#7^h4Gq|1#A_^ux&+PWX-2 zZzaQ~8Ea#!Y<;aWPmXEnb=71>gesw9ZvlGXwI=68a2?l&BO}yGi%U!m@8btb(|x{1 zxW+Wb!y$<|??gMRb4!+Poq{f2;ELRT_V5!UVG!vRDV8CRpJILT>{S{ETXjO7T&8!L zEdRlhql^Wc>QJwVrmu;rIjwwf=80tan8OWAFJ*hEpfC>5L%xP zHZXk$3|M@&go{%J`@6pElF-S}3sS($)q8ZOvS!(nW#N0ytWt;2QK7a_2O$-!HwQU0 zq3=aaW5dG%>XeZ-;O*hI-)v4w`XcX-X%L?{v6L)07O#3Zu7?j+e^ao?wS3t`8#}T4 zefhN$XX!^QY0boGq9faW416#Cg%_|qI^CB-Cn9kSX6=sr>(i({BfRjui})rjMi|4v z{J$mb1MU@Z2q=+@YR>l)UzAXqJr&c9y#8oh643b+sG`_mz_ZC5k_umeu9qx4h@+uz z;a1(28ZSjrg>`lD6=6O9$13`Ap;3=Vui-3WBaSX zMl)$x7yYJ4D3P2}{|DAK;lJPc!~8g1T@~n+QRp#3^Q7zF@gsHK5ad>UYPU|x_`l|X zY{#R;FiW}Zuwj2HMOdz#;_-pv(ChS3ZC4@3Z@DU>nu09>Kp3Pa%@ws< z=X=yn00(A1eC|HIiU)N&GX~{=X6gS6>wz;o3-IYkUZzJkhZWfkfsg*^-eZ)m$%dQx z^OMd^Y(Pbl+V|;p@OX8ih&`PbNBbHblxhVNXFxpEP?#AH9MCs=sGbzv2z`J(F zgjODR`sxa9&93!chwJ5}FFnk z+ZCr6#HaB88S5^`J<+}I4X9GAKwoW;!hWWTIrAMOWREg>lS~H;oY>YU_s1ZuTRSu! z>Ac;F(ulENAz^C=(2=8d5L~2tx;q8`B7xGiV*CLizKN&RDYqif*6LLkLa^Thf!D=T zQ*9t1Z)d3(1HAlfecyfl{R2YUv#7wG9gglvWN!Q?MQxZpYXeHmV>haHlehkx#7_;6 zPJYrq+k;3@zF1}CtsmP%h8ue7*4T+?o6F^1mpqrh_gH>?x~*ce-4o16Y15L?dEG&j z{Wn8mnSPuicp&l{#>VM5b9>LOJO_*&u#KAe>tcPBPu@^#Q!g^m`k21+EzO{E;E#OS zZqj}LZ6x~P$egY@SVF*W@ppn4SqTQJy1kxADMfx8@Yeh@Q&gK&q6CM! zH&Z{iJC{nu-{p+sF>2!^LZSQAFh*Ls|0_ZGM=1-bf66y=zAnLp|>twQ3LsQ;lq1eQaJv{Z5bs-61?0I8yGtSYCi{OaL14x|8u)%ZKMmvQYePRAOmf_WbSgVjvbcz=#s7X4;2-RVy{yGCe&`we zJ(MP^m(M|q+_Ds|xbxOVTmk@wSS)-+JHJSbtJFh~;Q6kj5+P$LdFa$9oR301KAeYhw^&)3LW1cwe-_(ceVrOOqVL2= zQmOg!8H`@FRxNcwf4Nn+vu=3WHft*(N3WxJfNQu-waZ$`@T3|M5}5(u@?!UQBU6hP z$WK#11*+&7`?jCx65}$Qq^aAIRybN32#@>HM*(@w?al;=&LA_YhYK=p&f@lex!{_k zFjY>w{sunih3-4o8kH{3+2ZV}{~DpN;DWnc0|iy~P<9<8=ni*c?H{TPMIX~fpSA0Lzp z$a$J@A?ZsiXBZ`uK9mtr8*F%#1GugsHz|vM{Zfv?20_OXain^DNbk@K@~)|hHVch` zmk-7P{k$1-Pog^CSSa#Fs-jBz=f{N~e`YIdN!9Fk|NPL49X;Qzz}4rqPyc{r$23k` zbx|M{A9K~Pv8#oDy(dX^!1`B8Y=jDGzd&IvD3jZ(iG`J`b1$&giAI}~=n20|FCs%s zp%y6mDp_xm5XH-M^G4+*^@{pygxz}pYk{nH%;vEbvg?9qvv@JkMr-;uar!#&n@>Ts zeu`h?w>=lHxf`#GjwbV|rdFbQm_PI3oZ(@alKIz%fGIHiK^BAG7m{yxBk_|1O6`~s zmsN7(f}4BdLh|~nyi8y`c_lfNAdYU_moAJU%V`H09N0mrvN5am&`l z8i^Jz6oB#{li#n;u$Y!h=psh+TEZ9egvqlT#!toyh8k8t9igP~((#)?$4#2^R_Rp< zF;u=jcyq1GLg=I2FQ$bGYe>UYlZ?THAqUK*ZS5>9i+9|O1O0CG%w}7RU-3$A8(@iL-w!X(kQf!=`STaM z_PBL8Tg?WB)`mB2(JF*DzM-{SU;Mu9k9HrT`WB@qVkyeZh!>wdsWOSmfZ-b&^RTQL zE1a5BKE)r1Yv{1gcoSWlX-AY^ENLI&% zcmvmbXL`nLoqBNoYPC)JWB88Q^zn;<#?Ip#@tF%z?#x(Vx)zGOh;uttt-@prI?(Ys zx)D*}D|sf#8dwQmHJbF7#7+YF$hfaB_J1#GquoFKcVkt<%`P3%+0SM_I6Fylw9R+o zryT=qW!Ldje!TMWy%chuRkS9`<#PTde+JK^bqZR=>Gz`h{GpH~um)Qz4Z-x4$P091 z+EE6I)X%r1lNd?V9+=jGOEuNb`leJ3kzp3&owO?w5tQT=Y5R6IL#4i~G$9)Ju@BYV zGbt+pNzZr8&f$?kY9Q z>kou7iN@sD;Ni$bKGVFux~uXVL_KtV)4dcgwpipz+V?E4@l{t&z9=%lG_#BSW=TDJ z3n}`@HUeh^jM`sks)oOv$ReVr#b-Zy>0&Zs&Xg7T%71DW8bBMxs#r0h1WEa_lTlIU zW>+~>_qQfXC8t*{|D`;Mi%}o953Kz8-_fQqa~iMSHB;Hl=jHxps8hmckIdjdw^g>P zRO1$2JGqa9F>mX_-_nMowRA|ra}Rh#|MbRea8|3^7-daGMWW-ZuMy~1Z>~($Y22CJ z%Bm_r(4TD^x}SpIMd`qpKNZayzoEv9#!j-cX{k55tBhI zaZi@;DtP3z&YDWF3~4qkIn!-Vn?zZ0Z(dj|XC}y%!p5M=Hx_=CKJ*imwR67sUrE?5^Yg+WQKysJE?exDy?gjw^P!tj6+k+?c)II0id*A0g&v%!^ z%&zs@Yp=cbT5JCYYjK&NnNGgTeM$YseB|*&LUBu4SJ)Lrs+L76dhW|gkUpA@frGnpPArLTWYkMvxK_{EZrvx7VEyub>a=K* z^X!dr$C^84R|l~(oQfwe7|m6z7AO@AB<&QOaw@)7Fd%eu6UGa{cA4cnBQY{c6ga*j z9kXX~C1ztGggQ%eB|5ZV*@1M=!Ir8L&qd{wEMlim_}baAgNoJYidQsF^)a1&v)b|L zPmWCL4sxV0?3Idoo_t2<_0w`Z zCYC$5r{$lcK}t!;ZAMnKG{^HDhhSNJ*JhW*2aVtlc%kAseKD^jo?@F26=*id3 zD;l$L8LbZ_ophR9@mrH z(Z4G6`qKmIQ<*YpgM)0fcV7nGkBK2Wv(2L&tL{bBLufOsYttF4adMb3B-1c7JSov( zWMy+SF4h_;X(ILDrJPzQz0O_H%i4Z9$V7E>TLVc8kn)I^4M*4WepacafBVwt=r-8B z@fwNn_0pHsS9QB;&o15CIahSydL-+RdKsd7y~#+hHA0%PstvDPoLYGG*oQW~fvpa_ zn#(Y)vmG%I9*D%tUG7;)rY~_spWca}yLJAV<)Z>ggs|hvm7TY^ zzFlv07*ol*;}_S@)w59SuM$P`&P!Z}Fr6|ZA|Dz~vHU>oS2c@&z_UF;BFHdN9)I@S zaaR4kg_L}%E%fC@$VXct|K;m5pFY*S;<#?HsK7Y&@Gk!8O_ujMPmX*sk?OSaKWU7V zh_9+e#|pin+IS%_MK!W3EL+7aVVEG2ygi5Kyjy3F8?DVFnUfzD(_vvla($UU1$XJq_|5+TalfIGM(P()d||hUlGg7dN8N=4w#gL@UR%!}s=K{! zmptk)F2*B}JWs{-WMfuF;VShxvy-qi#;Fy`uJ8&k2ygkD0=&^HX-32@LSxgu_9$Co%hd7`@nz-M&PS4Qyn*vX6BFV^m> zXWqhveYq~*|9PeRW1>q@wQB}>fygDM15v%mu2@mNOGlROP3~Hp=#iW7(#|cCK@jg^ zJ=UNRr?h0>`~1>dClJw)P@j@)S`YsEi^}~K#J)289*sycZra7HgbThpw^M^eEpZ;s zvl>p$#)Re#KbK%nakl^CB z_78>xPkJ8YNKtx5wiq(C3-XoZ6!XsM_jA;@Xzrigd0@AEOmxbFrOcnKOpSASWErwq ze7df=`sS{y{OYOm;=^nK@06+t`(?eAJ_#%DTrjW9%N49Pxqa;E z`C_Km*tIe%LpKat+8DPPP}?Rku%m_2J&9C?3!_PLgeL@)7{-;*pRfsYf8aWN|U z$o8A>y!Ul;KWIUt!?Pdn<8xm-m^?5S*DmBu5envn*qU~$oo*TTp0GABuRxa8Ldae-b-g{hVyPz#be&MT3)PkM|!8~PXq5a8zhUc$R z9j(n`)o-VyKRhK8&enyaY9}(K6KV4d`e+4ld(}zo)v5F9?Ub8*Uzq(W%N68<2L&&t z*oj)220-R)pk+%GMkXJZ#?w_|u*Uji*^`f!-;=!;eV|$641L3|qh+)rU-7Z5;FFA$ zr0Wy(yYilL*$!m3{gJe7)Rv+516$@BzAGW42VV-t)TRds!k|RcO{W&Ntc+e}_*-4f zc-`gS5)f|bg`<&sMawq;GIEFV0fFUFQrT-O(kZtelj?7aM@PSu=sNDc< zY1%=|$IvRQ+6Egq6GyRaYVCPnxvLt-ht#}Z+p?GzOs4O|?4)K%Fmbz|)i&9rm-nS3 zP(qoPcyG`it-WhAIlm}2lSTM6`9#4k$Tg99^=7)bLQ5-(S-DyM+F*zq zZ45W<*mltX;j8@117rsb*>!ea_s_anc8qUk)CILb+5+%O*qP2>nPgXtD2TF{G0dKI zI#0+S9z1HvGuv4(Qt2sGph?n0Dm=1$Q#J5$1Cq|@)(3`aFCP_?etYySOU3XcC{!Ao&43eE{S7D@v%JZmv`G#f)T+_F zJ2Y1A(gsU<1exA_MkjOH&tSV}+u_OHVPK4h6=&goTAag^^LSK3sw6v2wO=8uhL?!T zjc;YT!304=g6!^ZkzSX2qu5K{f6AuTXAGk1Hd%6wRSi}sw~JeS6>j^`YgBR8k>MR1 zNlo+KeVcbI*Ro&E)neJ-!>M!kH<=;dN;&_rZz&ix^{AEDIrYGgTe1Ci#;!=O* zoF>l`IyF@>t^Ky)0fI)xiSU807BZ(-8Rmk!qh0nL*Y>@Z60ajRR@uq;#kk`9=Jv+C)*L5q!ARnwyPH za||kO&ho=J{Z}q^ei_m)K=z_1@E?90!S_+MMyU}(bQjN^D1eFZ*fC#-FoeX>so91$ zvrfMD$xw_~tVoE}+`T7>8r0NVT(?du)7Hrs!d)Ig1XA<&j&am`I8|TgiYp4!y6cQb zox3t-H+6v4PqJTMk|jBD%QfDMf~#XhhEeZS(MhxHnj&AZ^+#h|dOpDpcPPq4D~~*k z?3!8I+}wP(gGF`qQ4W?~@9l95N{G@{Fm?C`Nt=*BU78Z+=QTsK%Y9X;{w|iD#V_Rt z>|}-23Yhzo5^DCe<{ZwiRr_f1>{e-iwq0h^u(niS81dsAa=!2u**tR8hPV?pBLJ~d zRJO06a@sJOzTbFU-6JyK;jxSVFnaM1BRH(Swx+tOvZ5SA6&00LHIUkRC=A}x*3pGT z^$!k@O-#)#EU&I@ynOv;b8BmRdwXkp^Udp*FE`fLR$r_vFE4$i<)!5xXlZG2VSa9A zW_ogbY-DI~pbv#YBD*n!=;`f8506ev&n_%2zgSyeUwg5(va~oiJvllwfI@b)HLt9# zy?lk?vjx;;^Ua&h&8_XX@7{knq@8zf-@SXkyY~eP2cM9Ln1qy+gqRQ?7wglzmrK*b zy`4?<)n!EmdAYf{dHDr}g#`uqxmg)$$%*mtiAm|%MHO|;ov4Aq!G2_WV^v{Ra(rAu zYF=gYz`{Em5-Qr0rx_SdouH*AC&D|}-FmsYyg0wGu(Y|ew~vK|^<{5+ZFU&ZQeRUA zfwuIF%x`Re__Y6NZ}Td3j-Wa&&lbXmn<62Zxx7?)2Gn zEUfIDJp96vGB>5guW+8BA;CTP^7#N8z<;~3I5E%-uPI7ThzR!g_4V=caC33@2}>z$ zM$atHkF=GYJQ6Wt$cXvBoQR*gc zDqZ+4IW-0DMz2R~?bJtn{DYUH9k8aZk>&T;MC3<~($bw|U}9nC;t`Nkc@WFMjjJw7ut*5B0(Z|Oqyq1x(-GSYIYdtTrkIeCut+{q)j zuO|8i=01|0JkQI2iJhMGX>p(2roQ2U_VSpgOvMT}+YX3v<{?pT z0w%#JS*hWU3fz?219drxNk!e;l;?Pb#U&)J-@K<~?j2Xsy^2G5;xs)q-b!<-yAlsA z{`;3}tBYfZy26a~%&d&WaDQ+AsEpEvX0T*!ZB4Z$naSy8-Rt;APoHDu;1RqocSrt~ z+-(JohuR9FoD2-yH`MhMn5!F*(!nKdeZ9^3zM{i(Bry%pf~2$#aA7#Ku(~uog6{7} z!VAOAWOyzJD?G9H@C!@GZ|Gk=AU$@59gKNfNmW^1oaYSr?ie&bBd4kr*-;Uxb7rAD ztFXErQktC{?rmco0{OsrUE9>mKtY7#Boztn{ys6AihoW+Q%y#Yqf=mNSyf)BJ|82S z5?9ht1==S1!p}dmGHT zICXEnY;{AhQHlt&GhH)}t44k%I>x|w`s68Q9zjtNK|UU?^K3wgxi4K25|@!z(l9Ww zc&2;%D)&WUIfeUo6|{^kpFO-UEiNV|A$?a>OG`ywf{%^<2ocVQrOw=tfb;>pQ(XMl zL?v%X-;la4DR%ABc^0+{SFQr{kBhxCS)ZN;862zgzJ4#PBAxl6QN+_ZyB+1o z%I3!En)bMc1% zt%qs~4<0*vd%IejJyDaqz|MO^NmW5cnEx^#A1@~Z*+zX-Q0ZGnQTcm!?Gj#fflsHRu|4%0Zr5h6lLT3RX!3JPLe zT#gH@$Ei+Txo=?l%*6P~V+y*_ymT8g@=WP1O@ndx;!^|YG!HnNYB{8%h%U0 z(BDZ#fRpdWox8W?Ziw)4v7Dkjm}@Ia&K)G@yAOnRPxiWq052Cimx!{dosH>31t}p> zxqDK~dkv|HsX4X7YhzhY4AN1M3%gP1_7kkMBvee?T&&D2OsDA?#jmoTIe-13xs|oO zo4bn*`03&89~2T27M+j;C^;oLJ}N9E$k*M`!O`lGhNhvpox88U$CEqKca-i*OUd05 zK1Z^ru-QqY|}e_2>uOkC!UytL#^g~vJ%P2K#0Ljt^kTtZ?}Gt<+u^7Av(vP&u|Dyk}r z^Kx@C62g3(+yX+})g`6w={)!J154)l=qfc99?f|nNkL{xoV^bp_OS4X$tfwQz^A!6 z*f@Ewir&%DQSo;Pm6$u6HDF#Lk{wr)pNvO`Sv9WXWT@#a* zS5(!|P*c@@^wh)6(akSBCN?rSC?X*xGry>?w5}Nrsi0c7#X6h9#@ zLB2kIfgvG*AqhD}Wst^}u0Axnzo%zte5e}^Da(&DhzZ@&F}1d{cd)m$b9A(KbaHU=j*s%Od~D_!86O#*RtazK zM)XYp*JNd3ZeebycWAs1T9O$Z;AwhC$vrYAqh%CTQ&Lh;P>>pEqb+)t_UI96+GEtz z)ZiEW>9gl~_yk0yq$ICPNy{s%s%h&!eCiXMk`Ni4T~PtNlC*@_h~U5gZ#O$<|A-I| z7x(ANcXS(#l{+ zr39zcwZn>1vn$~}GcV=_dXTV^qJnr|KR>e@yxbQrU*=+CWj)U$AS8BO8klfp4J{3A z{YS>8CeN%b44?VMrKQJ*Mr2h~mK9~CrDtU2<|IW$L?>mXg!uY-J9`90$0x=`MMi{% zh6DzHf6?h_dBr7_4bbwejEc7UjEsUfuh^FP&D~Es8ynkm6#<6#&6DAyi*r-+3)72h z<4w?RL`_y^R$N3vtmh*={YOvqfDu*KH#N7gwzsyjwRdoKvbT3~cK7o1@N|3b7?P4# zQB#nRSWpeAEG;fBE-Np}%FM}1%gD*e$;-(AJ0~|MGc6@PHZC?IB04rUCa$oiro6JD zrM&hWK`BRw^yd7mqQz&4fS<3WrbyR z4b^284b3erO%0Hmin7weyqxs3)TD&CxU_=YjJBql@~Ya#uCbYk;qC@VQ_n~rtZQ|1 zdF|snq~q|QVPTawCBB3Z-SwE({-&C)>Cv|Os7ysifBjlp%CrO9V5Gx zbQIeY%NuXrA`2&RI!}-Y$M3A91h!z^POqZ;PbtfZL8 z5Pu&}7pLgn{oU!Inf1-}>G7%2fzio{@zJ57fqoQNH-M-K4ujU!R+pCLCuYEAu*hgB z39-NIZomDs|MvB(t=(O0QtDHTR7Au$dwaMfcvytELoo&_9*K?uZiOX~u8xNGk@4|S zFv*e8vB`0-3$jw!=q!Pvs;={q8p}Wr)FmX{+ZdyiLsGkbRVh*i4kiH9M)J@T~m?= zU&5h0cKkRQ*89&mA2+r>?R+96CL+Pdr8rK{a2$7eVsdhFxEF;+cMlBLm*gj=m$xI@ z2PZJ$DnKzaJvB8u0|<;hK01OP7ywF&0ONPGz#41IOA4|xl9LkRlTy<23kzUpJ=d$EPNHpyk;GO%t<|OY@T$kxb12EYs5f82AB#;;~_jgnD~> zk>C&pyRHTpgTlOAu-A%8E9x8D(JgVFSre;s^YimFQ&Yo3m<~he0kF!5j@I_(Mp#2b zWji(%6%Flia$+J}ECNDsLSugJeZpN{A;RBVKn{RDquphVsD8k3w7b5#p>uX^etLXp zWM+P5Zhm%d7C@Pr0&phAC&orchrtT;0Yr$-7C5jg^))qBl~s`1h9-C$vVU}}uOOkJ z6+SdGKRY>z?jIQ$0xAt;itOrcYi(<3hQp!Aj|BL{q!b@sEewy$OwSBA!iPrZ`x{?> znA&)?Jc=3`7#$oySJq9=j*kqF4z|Nu+lLlsrlyC`GjmfwLNk+-Qy^h5HF1b%Y;DK;{A?m#J}#ij7ZBPE1Tpf^7!YY!F~VAyGX&C}d9$qPMqiU;quw!tlh%$i&qA z#7Jw!z{1oddH}P$plYC}7wiG>577-8cQ?b^JCL>2W%&hVHTBiy)$n>qs$n#0XmM$< z2RS$hL^_V_7?}WE`Um?4Ci{CZ+k9fEXB6o0$s_Lq; zoaC&^%7T1Ib8UiwU0y>M3fbS^hX#1Se7pKaF~(wW3}k2q!N#6Mw+~K(4L>zG0)R}8 zgN+Z=XbM0AN(8hB%mWQlKEMPI06gGq0H*`^0i=ZP>mM0tM|Ni?*TQP6>ycnb4)pb) zfRP8{K_Yrl%@xJvl`Wm^(A>nVN^tTPmR05iM>nF;z1>JK5JuKRgNR;?@d7=OsNTVT zXyeEvdJMBx7|j{O*rEvx9E=hHtsWi*ih^>3pPYSB5>uQh;E=;2vlGHAQ}w> z4U9XO8aR!+y4#V^tOl@VV*m;;vOq}Fz!ptnwi#y0FslZz1DSxy_5kaPIo*JAcK{;^ zh6Ix6>F*ux&5kXFLkfXglwXPH1zEGs?(PoI3Y;ClSa)@`w6r2ytE!+dNOg8xa&T;G zH%Ki3hoBEA9A<2wJws@8AEKkP2iZ|p(ALobickZO}x)pt`^Wz!44%HrQ%SO(6Ht+}hQNEQ&6#udT0dsDxBjwRfX1r)oz>M|*o~OA8Fv z2ybqHL18V8&B(51Xj*KhcR*uX6POXkLqP%004OHF0~ERs(cCrA+tk`s4ejsiX@fPu zP~)@X!@x|>9*Spd4B!DOG>kcyP~fWvY#Oka!M+EaF!?ih6C50!?Kz3fb@ffvP0)rW zSaUOgjcmtcX~4PK1g(eEH9)}mSKrXqhiGZ7NKf*MZ-O_%;BBp)UEMuk%OZMEeZ62~ z_Mrzl+d6xJ)H-^AA?s}^$g76F>xZ z7*IQ~+xvkI1H}Lm>cDuW&Go?Vs;;OmC`-4_MbtMTkia=?04VDVvdiF2P0cVMow_QJ zll*-7=&8dWh+6M&txw?4!CR8+a!fWc`jg5^^@C|DO z*g+<`6SH=Jz^r?LacYKRjslRM2HE68)7J;AANcAAOAF*P0I>G}ZwqJz@Fi*?RaKQG zCHXlyNttQ!x&8vuk!{^D;P-UGi&7(^N*ZdxQC9&3lLrEi^!UWYnA{vUdw(xaH&1V$ z*!<@1vYhIM+PeDMIw~ zbs;f!7Pzv&kLWsd&zkD%fkKp(l@=G}W~Zmb$HaxkCaN{Ix;DY*HeK5}92LuMAHHOASuvD$IJ8mz0zgmzGsj)z(5F zHPEJ}x~%A^sD#|A!sG%7q#oMX4E8Au_=L5!bxz3 z?y0#&kOZ$BNKtWdVNpRrA&A$qvoq3CQ!=u0@(YVfDoXQHgT36{JOiVGy&|(g2|!v| zSy^6O1hVsmMF2SF!l41$2yXsUQGLh>8gd4)zQ5^NjE}2N9*WM|f6hdR}-?ULlAfvoKLwN^)XCd`xsy zL}X-CTzpDqjHj!sqn*C8fwiZbv3X!}dTLg7Hi*LV0qA59eWj$PXJqFU6qlA)R#by{ z1EUn#nSftfVnPJST=-l0`|Bkt&F6Z#`vrRY*tvzLXC|d2CMLxu#>d7-Mui9Z02ogG z9uJ>7+UOaCrpLvnCZ%CwyAd9QfWQ-knjqfy4+x5kc96ZTbpMWsq`JQGV+9!v zzxbHgg!lx2IW`7(%OI5%5fvR9pO})C31H^t<$^#A1c!-939&H|Az?mVz7~!)R#7+x z!;acEws-D3MJFc2MMQ^(MTLPFJ_3Zc{@(6xPS33#%PW{`GVq0@$Aa+^JB&KF)pnOY=?_p>}Xn0syL_~OKFaYiA?d|R3 z=NAwZ91MGhh}_^kD(o5L>*wR;t8a>f}sH3f^rLC#FF;-!x&G zcBI6iWvqwfx4W5`7KQ%Qo)lk>cRM*tiR#3HY_jIv!vVUe_Wod2s z%+m6i$zy#T4Rw_V5AMm!%gV^g-&599y)6gsA#}7=gqcraBgwVxj7-cQ=^5xg)KmjLnbT)rwMEh{4(DYjL<1UigTPSOf1aItRSDs$;r*d4(L2PE9Zp^7cX#v zj_e%V+?;G|T<4j27=zD}H>}_uIdY1J?;KuXGfa#OOiX7O85tPn=3cyh{T`cu z1e2}*@);LIVuZvbM@}-HV`VwZ#KOwLe3s!9J>3bq<0t4((9<734t_G6KEc4oa`Ghe zdA4(B&$Cl5%;HcTqoFzq{(8cR<1{q1fR51~J4$n$j*g!G1n5e8oQ~!w9UTqbsiV}) zWFi4&EjZZk-VxIsB_;t^1o+rraIxOL|FpHTu&|Jok)4}U2&tpH8s@MR_3K; zH}s9quf2S;^Wojww{Jo6ZhL3v?T6i+J#e#$hlfW*MovXXOMR5~*b!248e&8`0*4R_ z8=n9V7oQLx`vB|U;9wtIc7DRb!NVuO#lgkJ!Xd!L!UaiK+_yMKdT1612VZow4zKQP zEzU1a^dp*~aBwJAl;or)XI#5^U-{MzMT19=O`ch~xIDLX_HeXz_6Y`-Dmp$Zzp%8T zqNW~FT~kq7*M>PfQG>vle80MMGM+J<@va3X49jgYF!vXUwo2vxf~ zTiRM{s*sSk6fe(|WqO6ghlfSDJy28?I>*ULg+~eglL~G3Ox0wB+1$T4O#YUYVhx{#UrgcN z=W;5kI}abpvk|wSAH?-qJ8|NKm~RDo_1zadB0@q6h6_SBl?~19-Mu_4G{Ie+q3#3u zo09zOObqn&Ocw=3M8u_}Q6BG~k)d!s@53J9k%6Wl}^Jx*DnUIuG z(%RQm5$DL;O1P;{qV1+iXl9ViL!RBksT&EOTUmZbOhvTXUR{(P9porQ_>$$3r&mZp z?<*WKGJITW_KQql#}Vz})15iREOg__DKgykwm2p1NPfi@o3S(UdJnF!OV~yN2O+&E zEF#cOf%g>gi-yFI05`2`Yz*X6iCz%8N3mt_?%}1kpLSo)jiZ~>?IqcnnNL&Wy+AN`!UOGZGwk#<0FO32FgPk9A;QPO%HGLBMdXs;Z7n@5Rc)t)mTf9Fp*s)F>|H$r zqS6Y>t81ZfjC0=8zc@XL24OVtzgwY|1sSPnIUpxC{qn=!`;EySIHbD1rFVS!%|~GE zaQ8N*2YW$YVCEemFbkvy>$B7I%PULs^9xIhQ~hlq0{|Y3X=(#8I3zD2EC4tnp1|$! zb~9BHJWGM~c9;09sEVPXma?+WQ!8t8W8>%Ue!x?TNXmz_BKn3W7dPH)zFuoSyhx}n zD+bPSExfaLcxHW{gpTFHMYa<}JFDxT$xfZWEGQxd4n`q<9&p;Qg3E9|VM!^`%Pc33 zkdYAMW4(X12A&}Tc5rrPYHSb%5*4U^^biQgKpq%9GQGU<>cupwu_P-!GdDjsH99yr zDz%^_KP4hCAS^yDyP&MTdu;hNxJ}wvni@p5;gcOZg*m1$m+pK*64EziWo2*4-?=R< z#Lak|hK}i?h|FCj6*Wz59UU!jqX;f@z{`g^TI$LQ_wLHeO7O89BmA`WdUN~j)|;2> z8?Ux@KD>YXa%pl9)dd3Oj-KJ!7jHISEl;5lZ7@htT4bPqSaK0Ko^rvxSZXN@2~z4H znjIJ#n_gI1fBo*WsMIY5H64Q|#-`xH-NnPp+uO^-#rBzj`aKzOVPUZww-r>ibPbJ6 z&7WIa+t>i-&%wdo#`2kwp{|aGvb@BlGvxcLvkR~G@rb~qIA3<(f7t!_Ve7@rFi2>P z&8@zC`C@*wrxjY)(1IA6oCS9_APWm($lgwPT`ja@aAxJj^7K$IYG`4Hfci8m_hmsP zWi>6mC#KJB9h_a=!2LfUcNaSgBRwrO6%}0Y-mwvhaCbZakGmzNe7m)EyH<5L`G;<_S!^X>yRO#nqtU*Ev+(c>q^CeJLM zTLTSoaspr+G4aB43p4N-g^|${Kt{&KAj&X#YHak_KvzpuQC>#k+GQ@5Gjy0Iz_9jq zwqCzn2ek3(&DJ~cj2A8eF*z0Rz!;g?&U12ea|0idRv9WRR2uUcY zkDoqw{vyASgv{-GN~$1cFt>beWo=`7D1xtqk%+C0wbgS=3v;t)&rAUVV*m&|*zxF* zp`oFHzP_F=CX&!lQ+c3x|E~Nk;895m7NQaqw&t zhCq}gCMG5d=&(#u3ON6_*hKl-;N0G9q+`Y(_7RndN* z$-jf<$G%@j$EfmmgwgIp1^*ZH3kW~I#q>MeCx4y}J7b!QiU^Aw@)i|=!9iB_M}osK zg+I1BeEIX}zl-Giia&z$Q_HW7e)SdDTx5ze4t1^&bx}Ci)X10OxR)UwePc^4sx#3FSB5{}TP- z`yXuak9CLLezT$24}jp`isd)B{EedTnE!77U!ua`0lNHc@$dHis})}d{TIEy2P6jI z{CK$ii;jP_`UggT-0hd*5r=`5`r|HttM+F;f7~7DENF^p^9`~;?((;44@dtqJ-==E zC%gQaVSm-;&*J%2$Nv@lPXhmcNZ^_aKN1jz`S*CfmK+xTy7J!;(x2-3OEf=$ z`3mwc3Hnbl{NqMHum_U(+U^%{{)-ACH+lY1w|^WS(LWH+ciD@- zDaF6oP5dw`|81wkw||Fza~XayTk)U9{*Bfc&SLPt!}?$L0o?v&o8N5E)b!nr&i8G; zzft?m{{P`Zv8LaV&mk1}A%Tx9z+m6q@*aZtuZn6crT#@4)@t_k=-q zI4Mz)Mi>kO{wsYa&2LM;k;ON&_&S7W!*}=I7!Ze_8^U~a=x4$J_!ZJ03w}oTJ=DW_ zf)D)sG*>tbNc3mC-z*H~85i&es($40BZA-h{gvx))%;lYEzlpz{si`42>Ayrf5hiM zT=%;ef2{a7`GHTkwfsB;=G`}M|J2w&tHz&d{%xZ}c0X|Z@%8Wj{>#JvVTa%6^XF^+ zkilQ9{PSFYujN;UhqZr^_jk>IZ}`7lemLq+y?*BLebEo^zOVj`#($apuR45>=hxNW zmHdd{YvF$Z&(A}CBP0yBA1Z#0@7o?b+?{%?rikih=~vNM?dcwWre zV?!kj*M{M2OtrJ^ny|C&CfoK@JKL_wwmsRlC)?Wj&aU_Q8SnXF{ekuExI#n!f5pEC zxu)MI4;Bbd&!=>F)5w3bsNc5;&&LXX^KUOFG{_%s&xay>gS@@vFzbbQp)YL<6HoJl zlz(koqZlj0e9bF!Lxfb%V^9D?K)k=h3_~p4y@`#z5leY4K}38V>+2hp1BK?bsvoF(QiRjn(mk&E;?7ZtLRm+%RrA_shrAq3Qu|23vt#gD~m^ z-W?tecWz-}t*fDZajT=P7`x*C?bV;T^?}sXT1!)7)na??eAU7z5cl%LU+2~>nNR=& z9!!Rc85xFv%7hL=dycX;KMuq;d&pG$Z{OO}SX&ZlfB*T4gmcdIJRlpV{cBpPU7a^BjZWsSmUgE+?=mPpZUxOpQ-CiDPoN<8(S@PVlZ!O$m zCTBD^RqlolLKogAwEVWrd>8VTd7ZTC7NQKO?-SwXM;Sn=qGHmVUiVLu%A4%gDxoqE`7q(L)B{gjgX zd2ww|CftT!b$iZV9zsb)TX*RidkpjY1gW`!``^5Q0ovMm5ET{J<KHQ9)?o+9Eja5CG-eta}aNMQXOqOHS#*17fn;Qom*0F z!fWfpi$}5+D2(1{!zdLC^HeG$gQ*Gi>q7v5ab@EuH10PAXN=Tp9~i-G9?uR5-3m#k zXUAv23F37tuBq=;-<-i=VQ_$P{xI@wFe=Vt+7kxOn~<<7(N0=L4M_LS|{t>n7N* zXdBECuE)nCIA5R3;#>Bu?5w!Hu!5Y=6#hUsgiTv{X||1H1iZ6?8ib3Fs$gU|Ccwzs zgzkWL#XyiBlW%dHkx5s1Pf~ud1ofWEtgE2Ac+A0(({?)}f3}3mvUQk>SRgrg;PpNQHU}bKpV~o4lADd+!X_WGmn%ggs3BK| z%gT=Ff0jd#6~ker>fO}#+JH2IC9bXM5YL?>4Z%%wv{jE%ywduv6w8{#0n}f7mrr#5 z9_*oOXO*L7ck`9W?#l$An37?N?V5TB=Oo|-9K3F)ZMP`t?tbh2OlJ4IYw}H8fzjmHF%OOw+znlxdWAgbQbIz}F1`(BVbn=j+x*ZwZN>6Yi^m?Y zL2<$>m+!_MTxMpia&=zM<4epWuOaXqZ!+x=LamX+FxZs-NcL`pEDpG=d(r^bC%w(J z1mE{uF)lYJRZu7WTgGuVC?21X3)h9x{ER} zzDf@c4kDENwhL9i2UCS7|B^wmtrLA*5M}t-`tx)HN9b!ssMuAs=h3phJ*G)lIQ*hT z477I{OEh)*m5vR!CxbUCw6>yR*@<6}KA_>@bul2s!Xk8dVJLfV46rSbFt+ zy#P+x&IkvMtXzb>%b0$p_zytL3@%bqIOI8=A3p&$@2c?Ln{Fw2?Qh{_-KLTfNGB=c zt7U6w8)@Zk!djY?S>jv^9p>xGwn2taw0E*jFk`0#@KKE$uOof*SCUEzFh?}k2X!1} zjamZH;-qH{U+NY?pF?^RY1(%lWbN4)ezT^A!e3rbm_Ykw-m!JTc$p7ZFIFkj7?Y0| zHBBMb_nm#eIqI%f~>Uh@}ukPblUm5Cls^kzQ?V`&Zr zs7^t!hhIPydzLmnssDiq^QwH#V8Q~gqejmx%|0dvFY0_^QHU-^r0YBsECiU;dcZ)@ z0MSs!tzh3dp02=a5fln)djW!tP>cvDXqy)m5%K1_$Si zizj~A?wxIuovD ziqgdbJdkuw_YCo=?IUu zqc^y*b%WgL&^Z-!t~?2Eb}Kh2i~#o891d&LE^5Cn0Uh^XWTRu!bX~C-3`~mW zf=F$ACh{(`MkYB48hJI!J-vy!`@Hr=jzwfr?j@?$c;qxlWEN8|E|)Fxyu9-(7FgyU zP@t=?coWF`Kx5?iwUVUYun7yUw&v-m>M>8DIrV#6N~g^q`@G77|53(>gxh%BXNw1Q zkK#C*$YU72^k6ERs3-~)Mg@QIFV8n29N5RX5TuXJA7iJ zfDES45;n>m%4%g_9n5Ezh+BjWHw;%*?u60C)P}Qm52(+6lvyYu#?fSoKV-B(D~mOs zTA8c(%q|+Mr!BG27rKR=S_w-my^G&m@|zSsI-HXo5{a4QV`N9tb*)ydA6H3+bfGn< z=G~)cQsEVMcq1*KqIggDvg5(<#|)3GA8lSj67<3?yX^Q@2d5KBs??S`hxtqK@W3tB z1T3S@xJR=KlMA1*JFreh?hg0P1BVyq-$EGb0=TMOW+?I-k%~z2ADZxGw4Vuls3nD- z0Tb(`ZgHB+lK3znlg(Dj049h;9Ca^3ew45C#Bn{=l`ol(H|%MS=?4O2ma46~$77uU z@%Kmnjd~u4o2_ujg=W<6Jhq9`qa&h#*Kx4n0k?H|fSD*12!Um9HUKfML2J(mwF*?| z1CHW-J|Zkz*$xULvQI*>TkdSN_D=OdY_{9SQ-^t?M;>=oV>-9l&0QjSu-2esGcPUV zq7N~kV3eJjZ1WAYIF_0S*pmc&bBGcpytz+a9LVpT7DVUDqFxHX)GvO26&E~WTO(`~ zW(uXNE5=ZV!Vq;2$-PPB9(ZD2!tGqefS5lPV^T~Fd1v86E$gLWa6Rp;8pGRD^*>Wt zqD=#(qnLS%=~lIq3C3}V;s%M9H{a5&=V2=jqTb+8K%qk+k5j5$=WQFZ^mL}?%++&C zBC>9SRLikJDfXr$x`yaUtv;VsGRnSL7Gc&;Mj5u>#(W!kW6T02Mr5RvAg_WkOgFY8 zmrQClpJ8vhE6BUPcv+Y+JHk{c(s35aGyHJ>M#Kv0xy1Jj+N(>IyyPCwCvT5;Aq#Du zGQG8+6wigeR$S&3POy78Zi;{RXzz8tqLOi!i#GB?r=HpBoA@a=d8EZ8x-0P#y0cjJ zg-C~ zne|1SXPE+wDFS2Aw&3{ayd{LeXBR()zKoGyy`bS5lxJMI^XszVQ;e-@&O;$wQ|`Uu z+f_x0_4!h7_K8l0!qjkSUy{62D}KCg32xsQ$~04Wrf=L3#>7i~W+^pdy4=X2Ja4?C z>w?~J9LE-2!ypDcl(9V5f;l1i_lCLG`%Y`JQeHMrzbwz?zP?s z9NR;B!k0O2TfqlF^*NE9lfUQy+f)CX^Lf%`R%cffN6PoK%pv0`TnzgKcP=nCyLxsFMn%X3kHHayU0B`TRrn88n!_#6L=ko-JI z=RtLk$zSrG4N{|;nIgm}BFW|cJJEBUG~{(Sh&_}|W6qg9pQ0whNXaff4T>h$66Yc! zJu}Tavq%FmilnW*oZ8bhVbQ_gY2F8AOKoU=_7g?NBC+-aHLX9bwb-S@txo%S0@zY%23%4n#L!pTmM4b2D0qBcW6>{i0>rg^q|xWCsOPdrR}H$({@keJFa&b}>K8ojv4g-SP=txHa&2A(58;XH+h~y%##=C$Ep&$+h zdxZ+eL5(Q4uR^bcQK|QqJV{?1v~3VgfJ^udn}r#b-4#TKjxDkCXb~pbaGknM)lTX~ zpKb**vyOgTcIecIz_|NUZt}rB7ZBr8VzP;sLXx{CqaR1m3C&8d7Fpd^Jlf|oW`kk= zH52+I{fjTYuY()Ny6(@wzSBuVCF6%FLF$09=0TZ$d*o0%7+3#(_5 zB4c=u?bjV>P<}Hc8w5c>Hkaj0lkbAfNnn{?{Kl@Y*)fHN(!~r+OisqH@zGD9xRR5D zc^u{J38sI@eiNAPN|3YHDT|5|!_f-Yaf~s5u$^_*2euvROVU;fCuKm&@Ok!&^9h&G zD4oYXt~aU2hb2;4cjC;(y_6*1D`8|_X84PHZTL~TJ)m*E>1FVS>dDy25vF#KR1?Xd-oT2ebn)+l$l&XMpUV`tpR_4%dPr~(?Wr1y(ZR_h(boslMB8P;s>;?&d5HLfH#~=IJU`636}64apHb+Zj}FQ z5adH1J0Vz;;HlTGx&?r#1YHBJ^$YiRn;6HqrTq$XCz8*#5m4cFZ-0_*3Oa<7Zan=N z-V32pV;5vL|0O0;zU&V>A3p8jJy{f@O;kF*vfU6MSbs6HGtDXor`XIe*f&`INKvXM*ItI|L2rR1OSh|Ca;LTYg8 znFqpjz$v697 zKKinjF}ULVb5a%T?2m@>`Xvc@g%T0@kT1;v1xdaM#_@vKAi3NqK7HT;RRd=RNnmSD zAuc(RTZ2QTpHGM@dT>L{!hWrte(Ah+qH?9MAk>|BhNrObBL-gxh9_tOU|rKnbsv-# z^~B50bZV}kqBXUJhDD{|j4<9yq4GvgIAg3&nd5=~hLQ>p`8ek(+TLeyw{z0An9fpWa*Dzqud^T0 zK({N1inc9XIweAcaJmaPU16+|VZcJVVzjL+6oT)^G>dVe2e`cII6kBR>4oAIv*W*S z#WILzC;T9?pcgzSdE$>0^d+$6^&xw?rkr0IqqKR1*y!HiW%V$lnM=Ha%f3%Zx5&g# z+=`P8_&5o2c;L4nSl{$&3U?C=5ZH_8OTQUf%JucE6l?+llwc$d^ZndyrP#JYM6vRz zK5;H@%{j>sdWc$=ruV~K4z}-~k{c^DpVP06v7Rm>6GtF1Af)3h%p4ZhG|bZ_)#&jL zD!N77f|kaZ(?qd3>qX&0kb`rtu!j$jnjl`#HbOv=r)1Dc_fqiO28-}qgqY`Y9IK8T zICv?g*GQDL!zW>=ZnK#WYYc@<3`G;Obb_Hpji$_bb#t5&ZEW~zSuToEfL^s^JQfg! z1Jq6sqXM5=OXyCwNtJ+buk2oZHS!XC(W&sAVod+?E&A%T_i>t=bjkAp17q&}bl9h~ z$GS=Z{a2Ew_zh7~6XiHQ&JfkBNG9qY&u3kQWgzoH{{6w0yfL~_hnj}m{?`-$iT{0Z zE%VhrJ7hqae2}(nWrBd3QjwO7O;*T?akz++u_I*vdw)W55~` z3djawRAL(=YpPAqbM^g6oNjN0Vc+Ej5CdPuZpYgvUq17MJGJmxw`e4k;=IFV7Qnnl z3Wq4cSv$g@uneie8AdY~%HBde#?m-NnT!r+uKF4QO?V|0MO{VN9(dwAmd&g)|5YTq zMCzdDz$R%nBvB^8LROLRL=~4W>aOTaL%1&6W(br$YF{`*Hi)7x>2kh_h@P4@7XFa^ zT9l^=w*r2^cIlxHs(M{?nUZp}Q}mjxjrp55uruRBiR$*U-Ptm_>6j!KB3>L}NQVx7 zpus78n$Osh<0GZm4S$HL5clMBzq@MweN&0sGX@Q+jbZ^fihM-c9699zi>%O|AALW4 zMmcnj4*{2momR_DzhOa}_sQwAP@;YBSkc0008hfNLHp|8c2I2gh1P}iWaPIO-d4X` zlfyY5`kLi8nC4kP(ZUjx7qejLux+B`>ZFl?k>mikLR1oyaCU1XiEK9?rivMqV`vmM zT+WpgE|)4%nwfw;LFS<(?oy-!=739%QzH7lf)b+lwX~M64(Os2k{n;KjI*%~0Qh6O z2CX$8o!-^Bb`6~gD18*@^qVV=2Hh?tymAiBT(h zw+t2PadEq#O3#9P@wR;dv-i(5emApcg6~!wDva345%48Yt(o2(4;=W_uE^=FXY=H9 z`MB3Z#3(_eL#&mg_4>ab#qa0KU)&GAWXaO8DWZ#acGZc{NteEtk`r1z7Q1UB@JV#& zg;HSSG0pUq1BHr-W0ruC)wYZ}S~ZPCFS$^b4qQwXq#S`ks^pQUci;XHI`#}lXDD7( zb`wsUjO4?SvX;*-NyTCy($n!e!a}W&$bw58%<0exC8v}fnhiid9YWeFEjEj{%8`N9 zd!u_t5tF#W)5h&X{lJjC(nqSr&;mQOr3;ApR$6KxO#M`IUo%$gX;g1?stRq3!eSBj zfdfhV0k5*E$$szU`@2G`AYdiguJ#mT6xjw&?}#fa_kZ>pl1lzLDa38MS-bUx6BwWx z7XjT(iqNQ?Zc~M*!4{mdq+$cO6&d27Z`eOg3W_``_b#)Qh)*lF#13Sa9vY& z<>Dg0*M`RjJ5&s_yCtmLDCN$bYNs&m15#{s^mbtm@*J&=VcMpb(*OcH#zN49bqD$a zm{h@644rl-lP;z^W~kvB(kN?{$5N(X#LqBp0ZOu0`qp`my-XK1@fvJ$JeT2L{>rm& zwIg-7d1ypC#+#^VA8qYIP8k1PGYT2-4w1)Xz3eu7R;|Y)q}4QVGZ5*U9jo^4ckfY- zx6$TD^W<`^LJD4l?Hf%WUJr@TbjmfLO5imXko4~6aVIi&1}h!kep5P(!p?BUECep; zeMoPj;>{m(faoH-@9`v6dpVcXCzqz|>4%IHR?fiTCJs3<67rC6p|VLYY#MfgmFtMF zo|gBOwJ-ZCW-CFa+5@jd3U-}qnbaKfo-2CGQ3eu(I;=(3|M%GFnyhQgKb8(Vvd9rbX1WoA9q-(jezw+?AnAaXHRnl zQ8=G4B6_fE zBj!eWhm0Y4q|ml0LIN?u%qM0{B0@h^-G%>M7;rvbZqu`d_q0qnh|RuQfr>i@8ECV- zt*A{L$S&gSUSa+$(-SSnjgoX?l0nlSJN9B8Q3&^qi4?0IetrNigB8&`Me777CbBJE zY!OW7(6vFdH&}dczLX+iOD2M@i9N;)89)&||LL$o;V8-QghS zfPGpyZ1R9yB4p7UhzO2v+)=E^#%E zR!r&5Tcebyg8Ra;C&K8>2DzOQtADapVl7A;l|55K*TC$CX|8G z%oN1!Iv>2q^PPa3iB&mvbhFs0Y3S!lOz_}CHX67eLr*!>Ewyh8pf>B}-vfInVKgF>V4!D~akxb)Nrz?HMF#dE_9mV_EN;amsmoh&Rra<3h9wy- zpmAzuGcOBnlbSZD6_SI?$>2{YDOC>hwMv~3KhY*+D>T5}h zwkV{?;c4?OslZMkJqti-n_F}RaJqdLe>g&Q(kD4n=ZCyk_A)m!Z{`Rt#JdiA_CnQF@ zz^LWntZ$ijWzWSgN#O;3&|cwOIS<$7SWES^TAUxZUbd%kyGJp;8iU} zunn(KU_M^6L`?8}3MwkPyT4e^tWFYoYJ7G=Zvfvbcqf`W6l_$Mz*Gn;i{}yqU6&bm zonUrfbz?+CtHq#KO=w@`*ezKeJ4&L{{1WXCaw$IM6h@vV7@!9rvhwS@^~FOjL|1pW zl+N{hgw~reeNRj+&&1*CV73;*OySH*mse7;rN-8h&9~p4MPJ~ zV+)zNrnig9Jtf);e+|obj5HP|aBi17)6KS%Z1tPpV<#MBsA#Dw%p><@AVBo;o22^U zU?%1PHSx7jsz(zo%sB}>*^|Fhuj64rSJMU3yDdv9fkZ*vbZloz1O`AV7xOoj zi+w@_Po%KEdSCh*`qkz|f^7wtWbby!ORqR^*b;^E=PUP~FY!mFQ{rkVaYw)jSq@#u z_iB|W+<>I@ryAdI(SpVpg~axTDKfNU$=#PB9%n^|{DMWHLw=dA4qkiRabCi^9URQF zGLym*eTlHEm^n7;>4mq08qX?}n!anWaq`|(TOZUTaOIZ0at!2lCRT4q`~@ew(3A$m zD&6)gIcctgc5((8C1Y4wg8{>>?BPD6yQt4s&lb6ru$)}|P^H_@-Bfp~Op?lbJW{so z2d#+d?JC8!{qy3|Cx3URenyKE* z8wEHiq&DN?!8@1{MFcGTeR;+~QIW~Gpz1hZkb%OQi(L5Vv(u>Lp`Z-KQ$_&kP+}nA zGR)v5CkCKNQU$=l?n=7kMgmeCL|o$QXsPYVH8kfCrONtuch;CTE3&AQO?%!-;lkkwNBicHR^&phgC7PD-f!8wgKPpDX4^IVDEhV4);p3{xY@N-`hD9@ac8l^CsEB)ulY{JVQ`;G zh=y~MJFWSG6;Z7$Tzc9mS-irK93n%#&huMWj;)S1JLN>?t#V|dyG15~g_ z%a0IVKINnl?Zq)F1=P%7 zUx%y%(~oDJnk3XfBFO6ylQ_x|F;t~MfK#2Plig`#M^9M-PR^^)fuRqE zW7DMJKb%0%=UN!Ec~1YSAn%9m)z&>N#Z zpjhQE6CPwaM>oWK(YyWX&bSWO$1_~j3- zMAFd1q-NS6ewC}CBBp$}Mm7~%QKM-a*s!3hwTxhnht;^t$gVlObjEe`p0)s?aYfDn zQOq-luQig~6X|2HF1uS5IR|xIi&1^W%$izAVz*VS`(gr4Wi1ryov^DKfKU7$ISHtw zQ(MB#un3L_kmGlkD02{dA*U}Hjp4;yR_jZA7n{1d2dFT7^(9+xSjY)G>@?_ZFwC%0 z!kCmuBPJDb1WI z8xbVR#_hHg=KIO&obJURIq;yk1eHp(&}Sq=OGtM{TDTYFB6Nok^ia(Y6)fUEWl8vw z;X1>fidW~OB<|ZEw{7X1Fq0icOo&I;BQdQCo0^`f&#~OZiTf09INA2Ks>2CUAk3$- zDgFGt(U$bM(owC_#JHbv@dp?>8;GGKpAFYkC6E^wIPLUg$j!;HOi{^{vFEqTKvNeY zZhu>(lhx4FqTC6Ls7Rj?vhUS2)Sr^j(D+n`A zH1@;&$eO}f{dd!<-3rhx)h6~9BcjQePGLFJe7WKKSsG=lB*DM&omwiXlk(IGR$N9( z;pg6id;=l79X%Mm!2$cXm4fEPyqJ4D#06R-bty zF|MHJSY2gHkH6!!_3kVqz@p|OivDo^2mvDd1s^`Z3kgjmM>=tH&b7!zlGQ}52ONcV ztwwsFlH?ndYdOJgN&|GN$oLu3!&tLNF%{bXM9Pbue6Of0B1RO3?Gq;Qn-*hQM__02 z?$ogNSc>Fi-b5%MUyOP~vlRt)a#+XzNDWZH=A({-if3quqn3sW9E3>>iob5UOgwSVW^^*{q>Rd4{p?bw@AZyEC<9Vu&m_GL&H~l)DVNcNL~|@Bx#Ox zPv}I+U?kWL0SVRO#A^d2FgTh2vrF1Q%&`PXj(rZD8Xju{g~WS4Hxb*Ky}mzk><4xe zIb5&ly8;w~m)L%H_@C^fS;F>E44h?i#hPE(yL?)XzeDDcA&?ZJnE0ycLnSWXn2sf# z#deu~4+KCw*=-R^$Qxr`r)q|pRpvE*s$ytY%F0MQ%sKw9^Xa1URz^u2JY8peA15%T zSAwo3uSPc3`Pp5lY4x4S{c8u3zm{=tqPE}pR`pnU&K_#B+;6jba>Ysq{( zIY;ycqI8*mG(_vV2qM#)evT7LcO#0MX<|m{);vCJ?%0$I^c;wf7(bfFG?Vei-!p&vcVU@yk zFCQcXQCa=cHF>t0|C11>OYKNw6t4+%usFL|6kGn z!J9Pi*MDV3)8rU7$$_SbJiTUk7&Nh0suTp?8B6WT#c#;k_QdgF@0+=NnY{IRs7-2@ z2_)3{e-*=y)c2@P2I-5&w_U(X{$4L{m_a$i!>4|ABdRafe)rh}IR-J~Z@47){KJ z_W`d+(1bdna$%X&T2H~syE8`hQx7+hVu+?y3l6fKVXN_^ZH8c4EoNP*72Qu=iNmyC zKRMal#N>Y=?4IY`tchuE@8>l8=WwWw%Da?5(h-2EBtubzH3&Rr5B}M}VMxo@c7E84 zkVon$(}j3sKim8Aw>5c;$GX?M(c~nuixw15;TJO@r?rRkqHNwK>cpV}FcJ_xlK%{v zGExEPv7WbDzN*%x+pZ7i`BLJzStykJ6yN$4i~qw6wmQY(!9&7EKoZ?4jGyq((&Xqh zZ#%nC*U=~m{=)tPM>8HxlXlSequZ18QrKutQ_Ucp>-Wg%EaYgC)qUH(j^v@H=4DjK zmefR*@6x4jmyQ&p+r-px1SGe%1|KV}^t(2>BvmG)@jO>xWCf9?xOOsH6W$whuRUQ zDIp=AI8LZ7$T1z)0_zuSt%NVj!g=U;i1g0q>bTh&%^-9Vdhz4>x_ld{e_*Za6^>$- z2n&0AB}XaHqVMKPK)%|T@wm?Hy3Cd@#e4D4y)+2$9aE{h6zFrY>;g9152^v~x~9h| zY_+KGuC`uJN#Pcg8scG)86Wn)tFc3e0vhUcR&V`F-pos}*xmEi{>!6I9fhXn%mfs1 zc*u}x^|pZ9vbFsKC-KmF<2)oF8l&nR$$vwKn$RA=GP)$>V8L82a^ROv z+_l8M8ht%Kxb|-wNasvJqFD-RdHgjjav^t$n?k!UBSr^!y=Ola(C>`VyKb13dDAKT zbi`Vv<_ddy`Shv;ZpoQYQ4BF(PxKpD(mg_!`Z4lv)X=M{KDCC>rkBYjf5p|^0JGhv_pL5F!Mf^i$VX3&q3`c|{$m3W zlemeFL{S0AUiQ}mZPdeM4m{%GuhVb|HQDvB^8Srhs1N>Z`v3z2etDc$EtCrORyl z?xl>dBnq6uCYmP-R!vbKQhoO_r#VH+P*JavZ*&tx{6>OL{ z3*aa$xkL_SaDVP9*@kPyFWv=duj@Q$6xM_W0bzVz>OKV>qEo9)6J|!JT0N{YADTr9mi&6a|72!E zS=lc2@hg7plzls+ok*_7{M&$G0?fE~gtcnb!jT~fU{6BQSoW;x6d@PWN0s_HCqgO&3r0up z-J%BAtA;1X$!RSd6=d$Ak=q}pzNpTIacvdZ+zDv^_23x)R>fWzwhj{ep+#Z3`adA8 z5J_QJPAFv%6h>aoUexxpqx=6WzY+G;uOZUMa}01$B$Dkh3+2+-3`Q4EN-et>#A2RE^vV zmB>-w8sX1uLa|0j;OCjW<8alotkLgD=6uwi3xX6KA56|ULNAGhl4yxK-oBdza$z3= z2g=UtIQ}YXy}m^bxXCKlzis73Z@*p60OOybS1>rZjpf(kKQm2&M&Lyqv=PIHKd)pqQ|ajzi9Y9qLe=k{2_Vss{kX9w)AqNPjFWF{^t{ZiMA6$^yJ2- z=5WW?TNtp0D}A;@EQ=JayOc*l924TdYY(`px;soCy@481AsO4490|bI=00?giWo3z zSHi8fHEw8(f*<2VVb$m!dlp+!prL9Ex$1DL5P(-c`OBfpT%EoJUpV|IqY}4RIU651 z@%h*w(AzS~?YmTN*tMK8Ev z)~hIA@d1?f4W?2=OR{JVR>vbrSLtF0CWu`%)4I(l#4CvG=3o z@?@<9QA!;~|d z6ZtNXh_KZ2lc_-p+zC6#NY2n$7*+WbPs(qvSN)4PQoL)IYyf=>z;)I=CK_swI09WU z$NL3#6Jab>hvfMM9i5s18pkfh5^foY*ZYAZ(N9F@!uiRu)Au{B^#PhSn|k;koNjcM zt(CXAdd2w#B0DDYejVfVBZDT1a8+I4WW5fPc$LDiBhH+*MjhJ0>F3XdkQLJ4VHl=5 z@88=0r5-HlMMBSwfNXDQePd|ZL;EWT#~-sKY+VJBjZ3`4IGbAxAe(eg6=P*BM^awe zGLB^nMD0AuN!ZN9Vhf|uBl|%^)?|7}{>l}Tic09+vA_OHmNNeBG4$QJ^|hb6mr*_W zf&%~@x<~yXA2zrgVW~j8GH^GQotJ&!@4x_@|?6(zEcv72+6#ujZ80?Fd4(2+f7WkF~Th%qLs~>=saBmSva{^d$>T`@_1fP89t8wsAPc#T}_y*k+ytTHC>W zoC3~cw*sS;ftRVl?>DLXvyHc@DO-XAF7c;7$|z8rDbp0-xWWM62Ar%jZG_HyUsx4Y zaG9`OKc-1BAl**t^98uS-$hAQ3??AXiF5SZUlAa{mk^&3>z+Pce%ASpVFN$*a|#-K zQljEV#F=l(4N>iG$Fo@gl4a+AE7aw(T)n-^aQi^BqL4>fauUQ?$&ptY-W5gJS%nCe zXF{Ho&`x}O2`!NFal#RLG~&M>W7!>AlqYqDXP;i4**>1y8HBj|tO zkN8Q|dG}Eh8J~n%=l)tEO0RC!s%TEhYWkJ(q$vM6I*>s|j(P{Pqx+R|q5E3i1n-yq z?Fqvt*5R8*NJpBt7e1kJvSzIo^RNZGpeC#>d8Ea`5Z%=4HOpm0xCFL6&IB<&R9yj1 z)E~}YDf0`*u^IGqnwR|4d{Lr=Q$upJ12FRS zJ-xl$@P-#bw?_001;5u0y)OSuXhm?(d$>$8&u*5T(7;eZn*ADx3(l>*>{`Q%JZKosLnyHYKB~A0KC}94nJoW2v{g$&huoCU?2+xAX4kW1q}FC=qk#32CSpI}v^D zomx_^O2lYgzUdG+>0kID4~HuQ93t5XJeO}T)5kK`c8mW4LNMLG(<+fW$FT*dla$t7 z>k&(u;v+O}Mw8aOe6xtrz-Vn0sEg(O#|ek>YWydHZY* z-nO+^fm5kZn<7mI>+{eIX}LgXaKAzyst2H25JCn`n%)Df21zBv?{u|tM@FDz!kO$Q zh)(V|c3aUMu}yM#Yr7J^*3i^Df`e0VmaDWbj){Ep8~40`NjrBw+;<5Rgz>*w@$ktx zGPyq8n?zWm$Cw-XAvpk?r6N%lENRA%P~|P;7h;UXYwI4iEcOFXSx*h&H83pIc^%9Hp*H-UOB}m(_El;0T?TA$qKf>>_XHZ@sO^-Lw34h&T+)QX--Kq?0-dY=qj58 zh^C=Bumq=8KFVD~YPPNW77*JH*%b190&r?ge*XxYzlf&)l$(*Kx^0alAbr$bZ46>_ zbhcjzO|BCxg)(OVJ{4SI>2!$q;Lp9a z!{=Q|86uzCdnoeZKj41Op!PYC<>W9 zUsn1ion0)bRz2&swbjKmvk5NRuU~n4*LMqyqiDtbuW%u9i%g(cZ9H2de4EKT_RFd> zU$`_Da%x8fH#ZxLv_oHY{7uo#ZsesUvx#x4zs!sf6Zj~Q^{SNt6SKO#9?zN|EOtc= z80l~#g1MyeNeZ#r{vr8D6`w3!`|CcolV51n#98z{z%x^~an%dl9H&GRd)U3KaY;MpQ+(qR9> z9$1QstkiBd$3w}*X93eS_7Zz)!2M3CV>d5Q&y|61glgZYDB1ZYNzDkP^uS6!WgH>$ z&v3^BJ{Hv*;?GunAXk}-i?^TBJL%^uO{+4hBMx!X2rV~|$(bO-pMW+r6070r{$Fqi zOt5j$K63q-x>2A$Wvn&5*`R#>AfZBfO&aIKD?6I(7pXH$b2SuYUL3uw9pM=z zx1D-!@J#D3aBBvOQwU9XT6hL+fL?N6hjxeG`p?GczxrQm0P`qD@v=<_ShQ!dMze?t z;q0<{dogw?VBT{Bb;E&6#ZTX-K&0p8SLDyA)9kT{5E0uK%jz&Ud*{ zV(yZKKie9RB_;yjHH<=W5rr%unYayB~Jm7^Uub?N52J9Q?8k~ln<^w-JW*k+r4|cd;qQezH63XLr#+%%|W)&%GD0= z@9|gffXr{uvs7@#F=+NJq{GoQ$5O@ucrl&T_0w=P^duu4(?{4Q&qAFRK&IttN|Bkei+UVQpp_k#U(kpN7`O(8u| z>Jtg7+1)ZN2j&BjAuEN9jTP@ImR|);e%>3t(^;qLnuXyIoffQ{c3R6>Gd_@F7q~56ly+Swfex=-E5^eB?Cg62&Y8nP z^9MVw;cXXEL@I@@VCl;#zUS+eb6-1cdXdAX=DiB^fj;ID(0%pI7JU>}(i1v%Ic^;CPF=kBX`AeC12R3(J$0^BN}4Zi ziL;*X_`scJO<^h|wd7D~LAMPTxz#qsHPwB=t|pVzR(FMtzT_-nsg!7fQoDd0}Rrz>1sUfY>)3ou42&&VIeX=8K=brk^PF$2&^32s= z&!4eg9W-8)-6*crHD$rWQ{AV?O#c$-v!{8IT7+ijPU+1=YctY=;&uDOVoOX_@+SD} zH-YFq(U`K{JEozZsFZ5<^tMO~c~Y9pnxC8-Jjur+X99yPKTWKP$a;4phdwYYO*MwF z@t|sYXK{$r!SeAYu@EfYvUcGU{lmUd6R+1Q3!9M?HZNrCbhkyGets`gH0e}rbMbC` zKJSHRvgviuL)Ej&UgKx|N1Nc9Y@e$a z2fsd#NeX9n<*(#kAEKEHRef~*y%{BAl&7~7UynFv+^V`CeKR`U<n3RUv|EX(bg)=hThwbIArJ7l=DI zXr2){l{Mg?q8V7oCtAh4-_T5`8ol#8{MPnqQ@@G}G`2Q{hofjPBjRz2W`YQ(JIQV) zr?0M(6GWS;JTE2uqO=$GYU|Q@%zn8W4c;mjplUgl&dMJt4!pJE7#hv&=Sm$P71`6Ha=+bB&aIi#&QUzV+Dz6% z86RDr`N7L2am{xlE|9LVw0Am`mT~NF$MIx|E|G-l*k+t;xR<_v^ND};ezVIgY>qMb z(5NNqgnwkRm@p(;lT=BQ3{6(tQ4{aR)0js&=CmsmCCuu+xkAOGBOP-CL{(D-Oii!V zQ!|Ux2_rvVX~IaF`C;0VwH>}lkuJG@Vz|P9Bhz#>^-4bb2~di zxI$BB+3oCg|9hrmnUz#{QKbBc1SS)1r4`@Holjosrm)&N6@>K?S#BkB@rXmjCn9HF z+%GqK8wexycu26UGp#4Oz;72Ctb8)Or(4I*0vGKE0*}_CvxTm|?%oZmk^+_rdS`Sp&cBvx z6^iJ+Or<|_;`*(D!kghOp{(wf^^GPFiEf|u%%@kP5m9Y7C^2&7_nVxb5LYVK-EEvt z>1M{)uO!>ztQXZViCMkW(E^kqCRg>Mu{lNn-lZpU&TuuEC!c=MxaP)_X+^DPYtA;yT zzr5k`|I)8Y8OV%~?vd)J7S}V=QnrkX(pVn9IcBa=-8f7Uh!daYK>x4_JhsY08s%>8 z6EWuXBG*VV&U(C5IR@7YH)cNup2-$zD}c1$PdmGT z=kvm$ZBd3 zO!IZaQQ*L(#`z&%cnAI78{*bGA8Nf9G%w}7(4PE!Mn<5>iaCA_j($a(E#`5zns-PO zW<7+9{fiS5+x<*4G{vN~t#s?{^76EMH3Kg7swM(w6gmk@lhM@WZZZ4#^*1}M^;(o> ziF3@!h6!Fnu*|W4&IpYc6mvw5T72edibqsYA2b<9N1Vu+w^JY%JD?V&`NhMGz9}0#T@`bUf9LbHR_2y;N4_L^z1H&z<{+UhkXuEtzcwNj)~Y}8 zQoktN^VI<)<m&gTL&>>w;VJ6zSPekOM2*sbgOjYUKddJ z3E)1k_@BLYtOrjEbJ7kR*50sRqr$FZi#X(8JSeJt%kODH!0!_cC4fyf2i^E%DZ^- zi(7Hw!+I51nr4~R*_<^e>>gR8JgETT=15|dciXuCDhCpk+q;^4v&fD2j3F}UOq z-Y3>jYzyn-O_#!tgtnZ4?Pn-5!_sac{yadY(S zYSjVl=%R!d-s)A;7(UJa{K!#CvmR+NN{8 zh=xzE-yo-q+xHPsS`J>zhlg@U#_IU_9}Gk z4Z@?VT2?$b8^e#z-8277X(HHSbM-x}p9#{jKI40W+YSwTe^gqSkasI(jZ^QVaY;w5;M(FV8RiiozvtB@K(ZVz>_j}Z7vRs$bHCGHTH zCK7X>O%q|2Ze610{_=zAEQ1d!J6mIUEBx&qi`<2_sp6s$WFt4&DxdD@9bTXPO2f{^ z&Mj>kP`&hpT~hIsAo-`=sg~S8bEu!-jULheP3R8X;hGp^+qv|TZf*Ql+;il1z&-EPFlSQ z2KBRaS~36F>8_<=J(HJ4hK*a#&=`E*O)m2fMFl3ePeLoLXTRJFTR-Tr7^5-_86dhv z`{=oR=Vd$hw1LYzVwS28m3%rSU%%2P(HERDe$=^rwLXR?G|%%R-SDmj@kdPFGg)iG zMWPSjd+PH+dIBFS@CZ___o)zPhW5b;f+>|QG{|lxqHa(y>7I6=~KF3 z`>DM5N^T)RP7;TOs+&Hvof3@BgFao=HSlS;_T>9Z)a;mQ%g%{H)L#X zdFRo=XDmFD6ZA|RJc7bvr=(@&6_wRAb@YwQtj;*PT=w<}3=WHoiAzXINz2sQdT5)` zT%9a%vn_0&|6)e#@(Vm#?vpA;HqM@Y!J!e65fNb_0axA5+nDL9E6PfU2?`1c3W-Wc zD{1H&pSE>yI)DD0t)+p6oEQ)D2}118&mZp~W{2B~qOI9F5n3DE=H9nlG_V{PNPL@a zV^cD+Fj8RM?MbpBYO%o(2%KiJjj5j4diLhS;UnZ=MYIJAZ0spE1p_-5Co2u%;e4qJ zK8q5DK}^l)T{JRwNu6_7LZaj1W1~X69Z%~hNlTs-7Z(@eW1}O-$3Xk=8HE7er(ZsK36VYW{!eT;fXahyq;>X^QGIDUT(vn~v zK7R1zBLN-1oUWz4qrHWuI0O28z71|D5lzxeb5;A&XKH>K6%7?BF4FymORri?5tyX- zM3k~YZO`dt%^X}D%vB|L*tvxyRrO8GO%3$4wKTPK4NNWVU425M6O)tUBZE90txOEG z6$B|Z!s<(mqQb?A=o-G#G2=r%QbMUX@FV24AcRt9{UV~HLj621c?8DhH&5=o#>6Kg zz<#p{$vV&2%ZcAf#zOV6eCCjtmf-~60kk&B@2s{Y8^LCYEmlSAq4f1gU#c6HGsK+i zq}v%%Xjlr7&66|TMahX(Ys5n8`l@`mV{s1Wa+h$KI2o|#l8jF3MK?faYPF^=Jmfd` zxO!fNtcijyxem9D-q7uwK(?ty{S#tZ8p0P-4Ykv_^1+p`Lqa-s9&Q#&bVP+KX_V54 zu%6|Gh?we;MdZR*OJPFLB}+|79(r;jJgg7*XPVNlDHB#sJi2l4>qvzJ9PWSeqRmlaNzCw)yPUW5h^z-^}*@i`O492}nr^uraU*C}f!KLZ#w9MshCQ3O^pmpZJph{JTG5xusv;NVyLYs z%0`KgiGf2(&(3xNZMmm=_U^O&2QTm#1w{DRn3!1DdBha;%}uo=ImprXS0_746Rz3X zT+ir4yu>DF7Lb%zQdUvd($P{=R?#-GvNDwCCi}QG(URpUMnr2E9_vK+l0T|4riHF{ zy2c>TmoK!erMVHZjz)5VnpeTd(p+EH%-J_I;^>!rLxTeR{jR$^TI#DS%1BAcD#)MW zB13zFhEIU`9)nKW(A*HHmx3TOi>S7ZorQ)3HwzOp3nNenSaDG* zPR~e7NlDAd%*x74O^At!4iE5fK6lpI+(1WLLs3FZT2)<9PR-=3v%8Pa1w#dpvpQ{R z<#f?b_Y^NH12s7j4hA+EtDv};n1rN+04oDMH8BC5oZU5FuZ#8;`nrZDdJ+`3A^mF~ z@JR^Y&y?o%?Y~Esr}urPJV8M(q^PPOr=+4FBc}mOzI$LqOnhQ;YDQ*yT1H+`NoiS8 zc5*^OVtfp+bI#{o9IY*^&sZC4%1eld%V`;#TbP^bDoQJ8>S}B1nwT3Xi*hp2(b7;; zQ`68fvh#_{YM9ubu{1SMe61xdr(-SsCe>c_mf#t!;G$smW<+iLo&e0UmA_ z&+5sE2+G^IT1xVWsu(+7^}Fiobk5p9QBqa|=%kjM5DPUWB?T1?BQrBA&q+lUB_$05 zGi%55rV=b{LZ{>n9NjLQzv${@ch*`@Mu3x*k(TNNBd;(o6D<=rKfi$RNhuk5RUKoC z(`E)b`W9X{0>k3da|?@$i;9a23QB5P`zN8p&1J>qWqD}{@$s=iCY*GfbWa}%yLnq% zdH7xpPR>q?i%U+A_c7PhF*4RylM>)$XQ8L2VPxkK5R;Tu*3#3{Gc+-`yX1OWS)7N4 zO33o6&lTUBejd*Dwr9_uGmzrrVCR$7GuDz4lhHOiZDDSH+RE0>;hdeFovp3Yt*Ge8 zsJP^;yxhF9+WLl$;W@;{24Z%wtFyhnC@m&D_&n$03WG4g3odKh)4_T9Nr`zSg}K>T z8Hs_`n#w?}6(od(h4?r*xCO;d$*O3mtLd1STi7@_IeT2a>}YRqWn^(BCNVZDCMx8H zx2v=3C3_P+BWq{R>wedrOpWb4ZUmy#*~`QG>eXvk-CZt6Mg+NExRF>=U6@_g4(T6< zAvSk*fR8#gG1O97SyP^$8F$^zLWxb#DKa9a4AR%$+Ei29Tw9Qt9D3eVS3}#-2rRGa zs%jeQ>RNgRhUPYQ4$c=ZdHV$h1O*2MMkHrv#6_og@uNP_*#B*tmqsb9GV#IA79?wT3wi5T$-Dl z8gEXI&91I5O^HgaXziPZ&rB^M##-BZn<{GSa={M@2BjOTMitC!Y$DxBQjS%QSRYiSncxvzZ{kz*p_yS_QG|I~%Ft2TBVt8m~ z5w@^8-#@gp1gUH5@9G$UROMx7Wo4x%0)qvt7I?)*0cQ!Nr&(Fq*_jz>2@#PgKtHN; zW0R}8d)gXnD=VsMEAldPi^^(ST3cFMn>%_TJzXe@mz5S|XQjnOMnty_j}1VECZ?ft zOYqLDwA`eS_~!K&2aon2-CxR;Qp|zBe6>0`T$NZnx-dJ^JA&9*=xyv6ot%P>c6D^N zH8)gORaaJ2l$Vv36c-ib7ZengmRD6(R+JUyW+q36r&Kr9wX_!}=J!rdjrMo8HrJL{ zHFb7%^^QzVOioRVPmGQXLApCz8fwdn@-nka$}5-V$45p6hoEb>ch+VH`=?g7C+Y_u zJX~D9e{VdDko-ne6J);Z9SSu%0^&hpggaBp*c*Eke9I}e|qot>M3PJ=E6 z`nua&8mg+xbIS&1=eKqrJiQMe9-3ZQTtcjGKENPFpX%OxvN$wQo0%R$D-azNo`W?) z$Rv2KY;<@SzP7r&xUjOj4V_$EhR?(1W@l!mftZa94+3CaonY#not=OKwG|~f>8TL` zN%a%EyF-nGn}?sCAmPwK$Ov>{abW=tgMkS0EOdHud~9g2ud}1Ap{}Z^YG5Au3LX4b z{1$9_ZfOxVGX-7!L_tTizp}Y?`ysRu_Na{&i?-+Eo3^4=BK!KGu5rZT(%Ra}{Nm~g zaviaPTv=XTTAZJsot~Z=8yy`U8tm_b^!9WEKGu~N=cOmd1_#7-y+GTVLf(6h_Gxcx zb#88LbA27Tyo7=@H#0poJ~2K#IMCbG)?8mv-aLYMfR9gr^X~ro>fM9=JFD>d^|wT{ zOhmWgYkTMzFTdivpSbnj!8rdu6%OXj@yTxZ7Hn=ESOetd*2WrgZEY325X&ozfci5t zKpaMfhKC0Fdb)w^mK6X2ijN78DA_=NItjh|;@#nc-Fw@sTf5s^>qx}X!u;IaF?~jd z`}?|ETIx$`#_plvQ<7kPdiV0_^ABI%ynOZM?X%|?L^KSDQTi@K+0Eaas0!$YMh!33_M^S&Uucy7Sro1o*=x{

    z{ru(&HXb4N;a383Iyx#coYxOuqCKAZvV4-O8F%xvszZftICZf$L# zJ^-QC*AM{F(mV_X1u_mqX`rX08CaFV+^meu?84IW-i5yO%)#wDyZ0X4-Pyi-cXwwK zkQGn}Haj&jIR@C=+tt-vH@J&NOhrRShVkm{*SF6;VxeOZ6A}=jy&<5YW;lUy2eGmO zmW}@Y?#?NAPg8ACdE3aYa3N|cXvPmR9ag@fcY-Y1D;JzjSdY$I$IlS zs!EFs3rZ^LI=UfnWZlhl`2M}E?cMwL?%dhk-dJA+cPs#P03;n99O&=qZR@#@ML|zN*5>Bs#yXfV(0@>7 zrp89bfU5QP_xJS;42(=q%`GCgHWwT6AtU`OcYx*JURg#7-OA$P(!$&fU>Q(^v5E18 zm!IE#M#H?lz5-j`LM~3!)(wr!j&$7JTX_8JHhc;`4`c$~)C5}vq(v@`^$$a)@7>+r zTA1J5THoH-*aY$n&;asmZ2%QsTSWqnEiJ==(m5Xkk-+v|w2j^+E?+lb}WHJ~NSh?Rv!_#9CCS=j6>95&wF z(bqrF+1XlG*VNI|)!N$E*Hh}5JcfMocx7e=^s}_IHamgXTwY#=FTr5z3&57Gt*$S@ z)@}nlYwJhaj`{$^0t{ON_*a&}UBLVd zbpUK>8M(0r_`bTbwKTrGvk8P}6W~|}U{Kl*&Vb4wkwDS_dH`S%z*+)Wz})BNP)h?G zObP~;>`~}+RY~7yfA83lbzg=bFJv>b)3Y;!&2=pu!xLk@6?qlyz@|2}cGM(hjc+1h z)3e7@Tv}d$!hoe%meRws^d+x~g+%WDek&hs~hMk+?yJy8HUa#wW+y z>RP+{A-#*Xsat+0Wg_+3-==3;zxDo<*hEjPTFu)pagEvZu zP$CVMj#Z$>>sKs9Gx5< z9UU7O9~%ZL1)G6R0omu#s_S&miCgFnS~Kjopn^AUG%k1h}?#w3Gpkq1J)DJ*EWFmqlkpE ziEBW|5I}UmOcvn4*_r@;(b(|t@W241w-@|oZ*yZ~d2MO+5^M}MF%4TvW0 zfCYvDZp=+i^i+1tAy<)WK#*5atNq$B&rte~(siK3M^4eu2$*3{cWZNFeQkAJacN#; zJ7Ro#d0}pO1$lb|G1J}LJ^GBb1XYrFbJ`dT}I0QU6sLO|*79~c@Q865}yH*mkFrhr&4Y_6gRJ~=u$JvR>r zgQG+ZEO$W90cDneumRTtP-k*%bO6%R(bm#XS6vD=5IHGX*(n7Paylu)v(t-<$opGk zEd_Z^-Cdm>?JbRU)s^KX1^H>I$?*ks6&01mdD#WUCH1X+W6k9)oo(%?($NVd3>><; zQ3}%2+uJuZ3U(rku&F8dETnIA1aK6n^)#>@lfXR(j6JgbD6=z((wX7j?)K)U>gvj} z()^qZu*FJ_P0qBPoCqEo9iN9U&-64E7PYoEwKO%>)l`+26obfnT5>{UY<6jVU3p1P zT3%ge$52mpert0>Q$s^TeO*mWbp&~2yL!6&!BRdj z(BIqF4^|%_n`2{RKt6#K4gtRgY-O6kezvT*I4dVLF(oQKAuK636tm5-tOGhR)ZbK@ zThvrn*H8lxmlPG|0S_)UE;ceaIw_~3sv;*or=hXAzdEj@4YjMPEUy6bD#{1jzRaxL zyuAFvqKd{A;Hj6F&Hfg zhlT{-3JM7Y|EkEq(9FFcUU zIwb-oB!Y}V3YZ$ej*240#l^+PgO7wnRBbBi0(d7UCC0@>hWOp^J?k6&(bhKkMr44V zWmG{ zp`n1g;Spfgs8>XAc*y1J-d4U&tLQiV9enIl+#x zo7*}Wvz-vPjYeNx;WcgpEfg;myuIc)iE(MKI<159Uc-I zeBB2`t1dV?Ii9n(F*nrGP*YP^Rg{wuK}Ekbl}|}3YUt`{s|qqP6Wyb*x@>K2XK7(+ zVP$Ixl5?8s>YCcR21bU4hWZBjIy%}~y84D@rlyvbRyNkQw$?VLrf2l^ZOKA0jdk?R zv}`?GJ>8uzxj4Ew+S^%yh^Mxyni>e^aq)w&shORV(>Vv1OD@hX_BLm1%uS7rjE#-- zwbWIV6lG6|3Gi_9@Ppi*jI5L-_}^=avLf76#6reKTKXDt%E|(CtfCU4BH|}cNl8k| z$jZno$jM5HiHe9yNQj@3IwdV9C$FrmpsED|y5h2Ok3&Bzo)VFf)v>m*GBq$V&^0vB z(NI;ElaUe;5F)|DBP69}hf z-hRO(ASNaP`%?lOENpCSu!m>n;O62L78Mod=VqlpK?(MaBqXFHgoH$dL}cV3YRp1S z!^#Ol_N+{wd+Mj}zd^$$rJvR8Bf`L@6X0QFpd}+EC&VYlLqkV@b#H4G5gHPeoL*4Z+yLxXQ%74JFkU$s z`K=Rhcbm!Hvbh=}kANXd!u@X0XRZsyIc zuH65OLqJGEK|w-9fc53@@g1;rTm;*k?Va0ud%L^0H;~(R9~?Zn{RV$_V=M*@eRF*u zotPL4{mZl4YqP+WfONOj7NtgoJ;$czPPV z_-bz(2_5Q(v{sjuR@Aq&b@g_&)Yr9icSA-eVEa3Y4_CF8W;-U97Iz-4Kw4_DV?(dl zSy}6zBb^!6Tn-0FMIZ6vs`U^ot4$i7jY?EPN&;-spO)J z#Kel>vF@(6BnhaWj7ffLu$S6v?a=tx#Delgwz7X>V%-!P5NHNPl++6K!2nLseyMLt`^5tJ79y z8d^?1Zr5_F&Zp>!B_#(1hxwk<;=s7w8^A%nPBw6pb&uC5x~kU0#>CS3^2PHPFFBg3 z$%?R(zlXQi7DgDde@&02kyvU)+IDOu;}bv}b4?jfxS3 zrj|Dzy*hkxcd|6tLS0^%iIR$r3UhmE43ecZ8zW-wfdtV#EJ_AiN($n`@sh-|rS*zh zVrpJDjD=La!a^f5OEPYqGmsY$P%zY%<|cddgiOIbzO);DKq7iJrhH)aB@P7xr>MM! zzV(%utb*p&o{TL{y9n#Lp+nf`#hNZt?R`+;1w+epG!0N+4`<;ew^Eo{7G!fRKWop`p3M zWp@{QhfCLdJkOaMTb^^d;CwkWqhWmOEdc|+q_V#Ch3g?Psd*s51ae(X8@KQ8?SZJ( z&iXQJYGeRB2-4hyD$Q-({lmlkU2U!HVCMt^UA=wa$1MvAfy0tlR8d_~Tv$@w*jQBn z(kiMP_%FAYXGgjkY8rZGcHiTH}2 z|IX5IOH~>8gWZ|cyHDStKYcx<%4r7S0_u&#G>e4wqSqNb&{zqhrvs;0T41MIRY zK~$p?g!SfDZ|^;M4q~FylOVOwTwmMJ+A}l>TYZd4#dAtlf|K~^+z4zRk3m3ENkiY% z;bf*AV=LR?&YBCw2rl?ERh?eH-$!eF;Nzkt}f_vH0QbSxZP zJbVHYN?JxhEfOMPGD=Efj3-Fg!sgzSy$#s-=+r#ei_gPXHt+5|dboH0&Ni4WAvp~r z8wV%&)i^GGQII!R1!*i3OKS@~SsrR4LJC$zU{rr5q-JBil?Hye}UdhAN z@yuycBYjQ9lf2BdCr*HMmY$A=8XOs!Sy(_yl9Y%5A0HnN1&D&0j-H;5mih!a5!U-B zd;4!O@$j)f?(b~g0qf?M_s<_}A(oa9n|JqLeZs(zSJN{;W-uUDw3Q{(_fZF!1rBz{5b{5#SvLTuYxT?icLMH6%Ew@G-FnD4Dnf zghhk|1^9tG%gF))*d%0tFf1%gw3H--`1nMmRJ8OAV9}>KK~2X1bdeYr69Wqe4-fmx zv+af1`SmC0#I$UDqLKy%#^yE-7u>zC`}zgm3JwM1g@*-$2auf3SXo${wmNgp+0EPc zW@va+49YbIB{udbnFrdqo-tGuW<5bdOhL~Hc&MSNrX(#cz{yN^f&!J^W#<(X5fS9& zU}2X;o;$R1w}KIcMPb4A`BoN*lGmaxaQ?{{;av4vZMez0}VAD z3-3uKz0<%Zx?gs6wzD+WR*{teE)5q48yg!t2REOPsQ5{7VLo9(G!>;p`8in_Xs9U2$Vf?nqeck? zgociuk%AAl$5R$zdi@AWHQ?rvbKbndLJ)oF7RBSU>X z;K6HYYHDa`XliO|X=!Wg=<0%Gy#7%EUvzbKbwJSuZ(Tio14CmIGYd;=+q35!&%0c7 za|hya?fT7svjSpM|L>N8KP-QF&ixR1g`*ZHbxaS`5Ma6}IN!nia0J2N;oiEv1`xH@azm2PS1nw6+gM;$lhf(>V{0Qu*i=UDH zbbbu)Xe<=6ACdojC#o~>27Hu1?pA5w8z68P_+_9U(R};#~3KY{bl5dO}!ABH{}^mm*52=J)Y5j_ANPzL`QZT_$~)P+AB>*(T9 z`J?-f>yO*~^4Sm2fG58Grt;@-ekP^z;NJ-6ugvm034f&1U%BsZYx56|{wZ(&HVl7D z$A2cNf6JhM(CHDDzfBGPV9@_m|AzwqFH%5NRrSYdp%y;y`d^&sPXJVY2K3Fg{|ktY zC-|#r{&8<$_+PjDUV*AcUHQJ|{Bak5cI7W3L3M)~{HNweRY#S-x%6iP|I63EkNmBp zV;nyK`j-dzuXXT`k-w7)MUvy%|5{J~Bdx!|IVRFCC%?zT|B>PTw3F`;j^*|{&rovn zr?>uH4gL>@{=261pML*Cf&Wn8KNR>61^z>UzlQ?Qb?{a@DnyRqxvPMrT9=KQy(`QN_rZ<@#7FF*gK5&mhY_j_piUm(SC7k|A2 z)L(`FUimRf{>R@@cmC$;ue$r~lz!9xhYA&CB}IS-)Ess4bJIV|aQ)o=S3UoH@pnh~ zxsmeV;BTtFRiN@{sC?r0H0p86@Hj>FNB8{8^-8~k=UY|`zg=?#?l^^g{1CwJru~0+LjSWsewx9r zM*M#5TjkN|4-Nj?lmGEX@FzkeBR^F9`2BxmfPd1-(b(UI|9E4CDLo-{Ab4p!r2D{$23=2gm=q-=ja=Ov-7H4e5o5H~wK!@utJ@qknq_pZZdNy|b2wsne}Be%e}6td z*K=Qwt?mCWh6m_d%@}wao9eapUNnrQBXTBs@=q2)Z?XJK%rhJyoaUqUIH{yyor`Y` z0tD~tUPveOUH_%dIkhfDWi$70ZiMsBDKq1pE=VU-b*yQq-zoGRPQ>5aHYh=uLciBDe<(TN*U&EvT;*# zc)P^_%;38IXmq(6Ra7Fhye*?mVVbPs9S%W+;jJUQ3Z*eRq-10(2r2_Qcl1dZvX>z0!pck9G@s?gTK(4(tTyB%yUGPEJ)iq@?5BRG0c}SHv>1n5R~fAp-Z=NH1=H z{-AOp&}t<(Ozi&HW?PcFMdh~ZyIx%rd2M)^lQC-ObBCQ;BWsp(VoKtZk^^CS6V-y$ z01A9@x_EW2K}~!UiVq?yd+@ORoxd?Mb)O`YierJ(H4$eJHDu< zqMVSYj*VYRg$osT_?tIzI|w1QbX11WRec_py%CW!qa09~J7dY)&+22?sgG0O-K)lI z-tB;%nDnvu*Wo=yKNTS{&uwAG_lmtL#^nW1^?pcTpk^sUK&d7Ap-8(GJXR-ZlwnQH zpSh}!x*cLndoKW8f3qlZ8#Y{r$e;yUf^0Y9#>b*|WXq{+dPl`*Ca1GE1i_4q)Sg^9 zbk{EN*(Fff~oW15HiU zmFv7|DDF1#rTCS932{Il-=v_O+4Sk@QML|x!gJkV2JY06%5)X7UZ>9|N^Id9PAnz* zD)V0HtU`mCQvytmO;1}~o5U}+8!np}PJCyS43E%9)mJOR6 z^#g2=Ft4lSD-xbfYA8(Pvl}%|bT;GgM~Ema90isdJQ6fL?=|xDelA2P8$fiI8p*m(5 z&EpJO69zB3WvDIP&oX;^_!HDzSf{#@@4D~|GRBkTtECcEf$A}>kX5SKOfU++q~P}W zvKIMLbG?@9u=0xUNE)@jRY$1XE&Egp8!x|)P%}0ad@*d0sL~Tg!Vy{>ojvIOT8muz zzT_Qr-#;YbvS*`lk)z03(f)88J*8Jyhw`o1$q+Oo5XO3NV`Qd1Wdh>6KIsqeA&Kut zMf|N|)pzA=`dJuSgoj4CW=<#Eq<5f;9|EJ?J(vBAvPOI2EGZ#ASN0KfztMG zG<#SetgT!v6P$}6H`Tou^OFu*_t;oi8R;!`})Zn z#lhCts}br5H->kZ zB)>xMikP0DhXG0H6UxZpgo|y|WjRB@!`>WNiN*hAm|W~(s{ml=h5qWuejiDy4XMBX z9*okcw>O3vAFLKSR{t|(Jgk#rdRch?sqw;Da869l5U;cH`9@bleQ&5@ORP73V?dlB zxsULmtj;CkFa;HOw{9YDaTkDGW{#<}a8g@@MdU$IUYt4_M}rWWXVLG zhKr>y*oeI}tm@vUv30hdaUejPV6En!X^gHK$qM>7Nbt9#MC{bkrN_PJvr>bS^zmly zhs$7h=S3vKk0&nDVsjeP`N?Nu07XE$zohXQ9+U+OM-N-$iEYnm9-P>{RoAlc-&3ol z-6ge{?c3{TMqOCo4CBHyCyca^&K-3FR}bH3vdFV5ck9MbDWz7X?^`r4?LQ z3}dR0Tkev~*5sUxP2;|CbL1{54|s7qJAi)U-!Kk84kJeov)V;J!gY=p%au&EY+!j*6QL=_BG?(P@Q@42mWw36i*>O7D+4{gP0IxjI5;xBIEFB zy0-mWCjQ%=v=Y36w`I->E(-PP=h9H*In-yIhG=CZjr*HKt~w~S zT1ImC`AGlv6gMGj8}~G;d8NO#)`m#D?(qt^&qIY&Sx*;l6=%AzTa_Gj;T&UOijzQp zi8y6%m>!WCd>t)hKktYyBL!y#}ZcNPWmW=U+2`ut}t7S7*sBL%<{e!PV|q! zkKTr`v)jx1E1HY*6$a2uTFIndw6JY-1t95rMDd%3KV&(U1k5(&i}ij+ zKC^&x5w5|TvnN#Eye{SX@`BAI{_CP(6&ns(d*<^2DuzTWF&QcXX4+J7Icyz`G_n46 z@mTHJV%wX#goG+qYx3hf<|I4n&X!&Cm-d!@dwtXl;-M9c*{%KwZ|F+zc!mWg*YdHKUi`87&_fY_1{HRyvdviCR zH^KKURpMBrQcL4Y5@3h-Khd%^&~^tdnhILY78BI&?SquQkMwu zb9tJp0NsBJ#b)Om1FMtKKLuk6x{34~qWiW%m8G@{?xF%Ql8p%Mjl`2MHJs&c)0mj- z{AL2K{avp9oPq$>(AtwSsd<^4 zvIzL}sPPf46Zcz)ZL@q~?y?AwTzrlZY7AGVLSWU6RH;FHUM-aE(Rq^Mz6%Me<6B6X zviS57AIYk^U7|1?SKxJVs0>}04T+4t(y@u2Bz9HztC1w2OdCs!Z4qbGNtiK1|+EEf<#^OG*URhZHUY}G3vskpCo?$Xr`fF3 z1sd-ST(n*sK8ni8}MwV^Bg&G9D}EOHgN> z8*DxtMIl(N3gA>^{(5g$c{Hs(j>|U6Ft=-pif{3Nj2^_u_M$5s-6$YKrCXttg63@{7zV1eJK1x_6ZLyWb;Y0nD?w8*g;3s17i;CPsUNzs z{A*3(IYQASw>mp9{RQ8_UOhL7ogi*U zw;Tn%Lt_@xSu3;%l>4arflE{llay>@9I?8yL60?p9?jwHXVy`*_2sagYO{q@u3>4$ zYZIJF*LpbfF}#vzm zPm+N&ugPVMV20hjT~oNsLBaR94sqsWmbyEtJK6A1$3J%}HZYQj_TrQDyZl&)U*&u= z2UB+ynq|CVOBi!xYpI<9JALGtV$_9+#eE82oe80BTR7<{D%K#Fcse8xzk_>QD7J8^ihmL-9nvd^AKV!i5xaz<8Ihsv+gFAN{GwRbn%fT zPSX*H35pHtHKLMb#Cy$(PM<}W%&oTu!dJk{NoO20W_Nd}HuhQGY*h>sn<7GX8xI%Q z$OZdEMscX3PDnyBY|={9JgL=EVmIBYMME79)GA z9keRxm!~0T~#-!^{bW8Be?$*^VbgPrE;;?GSCQ?kcrnF^Pnyw0C9gR0J z1Ny<5;@;3;JsoU|PS#D_6d}BRw;_2}BfhU}W3Jpe$Lpcm>HFBI_w$k>lYp%lf%@3O zRKzfKyvIXEBFQKT1_@mhju3%MnXaS$5mvlN&qMVy&I7bt($S~PO3|m&35{hTzrChS~9#M zy%uFe9_wW(!-VAZjvK?*H=M2tAPTP6G`e4>Z&0zhc~K;)G}?x!oE6}M3don`$mebX zC5jL+Vi@T@nXnbBdl|!E&u9MSxoaNK)IM}}Z;e98Qy%hNb>C3MrPXBApxQM7X;v|m ziF=QqVZP`Uu1v|l^ev`zYP@YMo@{hDncQV_8AHX2vTCR5@i`+!|LN#bhp!TknZTo0 zpf)KYz0V?U#d`pNNnkh9#6GCXBXf;`blwiU5mV`y^A4^umpZr?4#7JKseLjs@SH%a zI#}KaN_y)$K1@>aEf`YcjLy7h=m@oZKz5Pc3{HiYAmMaqBG->;`a<78h`NC%dw#mI z^T&wwFwD?ns}wc#mwt!I9vnZLu*4$!9sDK~&{)osJ5!ollhqDKYc5);3x;>0Uh~SM z=fZ#v`VPmy(wiFySslVL29cJ_eaS;Lw^kA8bail0kt5FN>MUriq{NPoH7#iI*mSZ+ za!?k^he}`g785>ATq@Q__)X;|_gLhfT0S|NM^;fp%i=s^tC>sFsdv#Al5B2?^Ld<2 zvo51F?81q?PSn5Gmnmvf&I24Icw{o%)xG#0LOiEn$F~V`s4b`Fl4r~rY!5dDa$Ms1 zQi@#uJAObwEW`|-KtT_F?b(Uu8YL$QP;sIUxpJwT+OWY>4RV&&m$<1Lu=1t3jRD-(jL;5G!r>=r6Pe(#dryN^2|kk_UxsRYaN!z7^hVT?(Ll!U7?!Dcr%0YQS`CGo>?&m^=e(y zD)3I#&N75I40D-1X0R-0dUM0*4b}4Wrim{@rvZGWG%G2on=QIemIX!$aT>R?7;rzQ z+3w%d=Fx2DbybmBAR{Z@U>@xs@fQ{Ts!&Z-O#dX-pzEHf;@Fv(&O8Og>7+dcp{l9)qRPsW2#>D}(vMsrX8Y$&TeAEe>3mOSSD{ z*RTqG`E0Y)150%{3?ll7`J#M4C-B@ZyyAhmJR#~qn|9s4Sk2`g1Wz$^j=I{u5iSDT zm>(RIRXkv#r>pFE-olgxi|J5!NDh=b=n0V~hH(MXZlH+F%m7JEBAMlSkckLyD{oq? zRnmc^IeR?u+(iu>5UOAuQ=Gw}`7B5DxL{3lJ9ca&q{5Ol*R;p3Bp+g*m2brG$}y!M zKdg5wzT@jU$>de^K&8)1BAd^RY2?4-KBQ^u%w%#s+?&p0*3jxJI2B9}jVg?F+E(YY z#Fk=JzF^vW+|IIN3FaGaF1+w9;pOYxHSk5n)vOl$x^Wsjcg^C$!>Ve%}86|{l zpGv4~FZ(VkDu=GjvmabeFNy7Zkz7k8cqbU;D$^7?UbOE?b5&|IRT3;S!pmK_5fzOPbS7P7?rQ z$dCg_4|Gw{*$t(Sn#wpjnv;A&uS)os^#L z_qDr{&_=K1=)?|Gy}b&rdDw+{HgecI$)@xTH82%e%6!XaE3U)V6A?_{-f%uX#Lk^= znL4N*RFh$bG(bO0+#jQ_Y;+pCPmBTRtfTl@!H$jST<`%QahgtNFBQ&K3O%#O;xrz* zXLt&5lih27TET%agG3xZySAR_A^d;~J1UClnK{FVHr|lEWOar~aT6W31UED&h9)HZ z8%~mO{%%t%RmKCg!x^Dfy*nswUUEHksbElz!v>~KL(X;|!9vN2KBd(>7`lfSv4_Ck z6kxKzKj30BVbD%qf3a-x!%tg`7BqnOVP5u0@_2y4+EDsBi;h-s3fE zlSv#Wu~BHMx$TIpxt^;_!)?BATRzdavxaHg{7|f}{1Y}hoBDE#-J3mfRfj$8@Cc3m zSL;H#wByVoh55io`#~Z**S2_=j>ds;*?!}o6AHg6)c0C6qLbz$ID31M8f)abeIRg& z^5V#QQJbh*IO6Xj4PIYXja0ITIZ^BDBg{&Pv%dET+!0jMG%5AoJt=Ckyb4jXkj{j! zRc*1aHA7H}C)?sDcPvUtObi;O+U!v`&4a+?Wg2k&*;D0*9HbM3{k8NtAVW{^mE56C zj9NF~LA{LnqAaEcqhn3 zl}ha{4=lx4Dy6e93Ji1W8fq&F*sV-~*>GQaERu_g-pg4dc!V6lRPcwJ5*Lp3_2uds zF3(D7M~G_Li^8V3-(%!mli={kqWW{8=Hj_$GCxdb8#OdWGXs+pWtqiNMv|?Un-_I3u4b)B1ZV(@H7@6{Ty~tn`Ah(+$OXX+k7%Zs@6^&pN@eI zlYBwBduL>9$Jh4*FI?IN`YJA8LKko-7i4 znmc5Fh#OB$8h>{bJV}2WbaS4cd?bTkgI}2MSv4A{CN_W~QOlhyvek54k`^o_s}$L5 zp!1HOmP2i6IJ`N5p*e215#MF$eLchy%eo@%rzka8Vz8-lReZZrdTP8fL@?Cx-r>V7 zmF+nD>a8-*L044jV&bX`#vtZOYkX|T+}+>!W(&zzLOGT6D0~5h>TE$U4YPO* z2hrNIrP_0oOv-Oi_t-NYG$bNcQ^mOUt3jn;Q};4v;~Z(gX?k5Fdq)y4SSsIA%X*Q| z;mS|nK?}hgxpH^#sLsRH5l%fAhtn}M{^a1Z&8@vqcWHiICXS1Wbvpoj3bg|?(?mUn^A}{NV$~d&``czd$mXy2@MevFUmiR zbotN#8V#%>PK8_Hp)DtZ6@Dj)p=Xbp;`&h>qEuxpUhoXz?OqQ8abYf*#A&>=X=_qq ze;&PwH(0)!TbW#`@$oWajIGF61A*Uo>0a~SwsX|%WDj4mf&e@op&|5?8}|ZYak-UG$Cz$zUG2daOdHSHer;Bl3;F#06cPHc zC@WLMDY9+0PfXFVhtL~mK(5@V)qva|g58rkBcg918^3PbB+x}3;5xMzp{`~OWft3E zp11O*p6b$KK1#~M8Q|~~N7x&^Av2<>o3-2N)3hCq@ysD9ER;zV8nQwt~kdc0e;L`9YCk>}>&G)w= zEBLpJK__YJ7gYis89fWJ5@@TPp*vuakwujE2C?(aF!%;?u2*Fozg^FJ%yz8O*6!S1 zL3c7=0olPat@1>&NOA1Mvc;(v?iu}ZD+&}n$sE@v$b`-^7eX?BwJ) zJy}Cb6Dc_f{9US^o7nQTek`+etfpN|v|Ts%=t?WqvVIR3jX&)qEU#`ZPEeWj;u+a^ z;UHJJUfwr9+8NML*DN@I0DpO3ohHw3r# z?Pup;ph($1+B{^SSxSJz1`y6vmk){#hl>tXQ_;28G~K~+Bc`xZ>d}H|xM|52XNHDr z5-K%0o8j$q+xIVS8XJNd4i0V3-z*L}hsr_ui84G=6e;i9n(kc#Jw^kj0Cy(SSgrWZ z63&F>-doOg`|{M$1k)m7`%X_XlH2dce?gE!(jl{n@ne=W{9`ZA#O%$JdV}Z=dadM4 zYG+IAadTH@H7FbdxRKyW!Ylig(A0h;_+W84z9+Kpj=v6}G0V5JfCC%eHKUM$EP`#h zD&g&6B{g2shp-k%ro~vN(VHLzlfPpq0Fu)%p5R-v$cckKaKg3MBG@Xdw+k*heDuUB z?`lS(BG2UZ)6f2bmN+4{FvP=bmMlMj#ST#?m)W%kgKJ(FT-(3`G01_c={WO&eYPPCWicYH&>5DuJ>h6UT#yRxDkWK_(aT+1 ze;9DJ!{pE;*ap}w$`MgXpnKs4z{jw%EZ7bE*@ZJzu3j&~(k*B*gegT0zYkwJs=3^w zrt0grBt@JI%z37+CqX^!4+GR>T4@iWWKP~iAF;kKB`p^9Hm4%5$KQL&s4*Yc=Qz=ENC`-?lq*uLI=InmAodG+m(Hoy)e?2h$9l9~j%JJ60l5gZ`zebSH6YQgB&dmgzh=c246HvDysh4M&LkbQiN~ty+xUUbE`KZRg9GBg!D5Mf* z&)8dN(VFL{6l5W~=MiJfT2#~IxfMD|otx#DQ#;Fqs0EEN0E0o(Y86k5DT-|DxPc=* zP7~$y6v3I#Q@c&`8#<|Vqy7nY`Whugc>PyAPa>6hKJKAHD->W#aVRTd5odf>C)8BO z0*~>`)b06vfeu$n_nWWCrew?-a z*pLC?PBVq84gjQwmack;dybQ-{QM>IeA6>$$%gQ`MeX||R}ES*xYC-|kUgjVy_v27 z%y=r4PP^Ts7b(_Uz&6g@_bjn!)DSX?L`B&P4qc>`MdXMCRm*Pnx?TB_XJNp3@L(r8Mi zl+Y7SWtKcjXH>IJ>721o?+jZc667bt+f0#al?s}@zBv03t3*th42e_zCt4^t`f_qp zrJ8l)XB77*gDi^vs{V@-yqlGAR6>_2?KWLNR4mVOn=6R*_UxFJh?fBO_Gb3ySMp!7 zZE~YFcqh}Zdb8zzPO16PAPOgcDR@f+ck0botkr8v3jV**S`1FPK2~3LFiUdd?wpJ4 zAb%n!nYaFYU_=>xNr}qa_GM;*kn0NDk~rFum;9XgkXFl@&N5N+pj*{~kv~>?t()1) z*-l3gX^B$;d#2G%fy z=~-l6ekrp~`ok_vwA*m>BIOCwtKW=w)74?&r!e?{W(*Zq4g|4Ip89L*emR7BX09}d z?jMl0FzcX^qWw=rev112?9`m{RUrue;TNMFcYfRyVI-Xn<@rv(RaWG1`4r=IX+Eh(wK_a*D)~u7kv9|>0HT)e z!#>}BUWk1BT9nGo<(HPqr@V##A0E%&^6*fGV@5I?#Y%&~uQc6hp9u1E6*P?^{oiWq z#$z{Bq<{I?8?;2vdga!%<;#Q)$K@~o`BU|XN7-I6CMwYDb@HdylX@*YM#eCVd>9`|7h?tWIs#Zfd`}RS6|=t!7^n4bQx8r+BcGS zncTFY4^LcdTxVsw8<5TN9+Mp&eb_vajtSFeapNzSSJ=a~1i6V#Yn$4E9E^+QVB#!s zZ`RkdS_2~j(cTmqacz1ImU{NdW zbLTaWBCW=m6YDzr@n0F2!6J!29oY5>8FQ+}d=jMcK5^o47yHXOyNvw9ON+su)z0su zEgiX+`>#zK6oiCzv8bt8D#}XyF!-n5S^C${KTGZKGb>uxBV(hx7x=hmHdfg`^c7gZ zSTR~L(!mU);f9bhZ^B*;_;`f{)Ih7k#c))mTWWFep#PMLqEIWAhjJ0!GFtJkiKQNw z+{d+ltK&}>`B9atJ{c7Lm?Lmu(#GY}^dG-a%TJ>p<0|6LSwdeXq~QWbBQ1RF zo+$kZN9=!@BSwo**uN_zQ1{xQ@aYsqe$6>D;6+W_H!7vW!ZY+8U6OFJ5XYgl+kc>Me6uz^FB1$fD3-CHDqBcmNBBbKykC;!E_0;(_*D3GK zq(vE4FREnRN;f|$f7oaJ5T@hj&jJ)=Tn~LITBGdH8}bYLa{2UEo(#O~ZFU%ohVIEt zGww%QZau4Pzl-Og*%198uNFIE3P*c0kLxnlmkI$<2H_KYPjs64(MEiq^4Ay+w^9Zx zY>-7tNb;x)YOlH%I+A^}necb|bRc&Ac3hOz=@;Hh$-9$;c}9I^;+$ZhuI+!EWB6nK zmYcz~Sg|yLrq_4Em+fdm#OTZaf5l1Rs6_SZz zS4P!x^1HC1O{BPCL%=8&v1Bs;ElO=k$)RVMwbtf}tLsYvG5`+t@e|p!1>nJ|jDwpRYRMzhgxkPCeWgLd-=D-c z_kQM;{0LTF!+Pbkw(fYEw6VFac(Pxx6eGUl5Bu|*dCzaMmvrbZJx`Mal*CCHJrPMgrJ?+@jpFREQM|PTD89%pZ<;}bPF!`4S8VE8a zD0zKwDl{4%n19<*gh$`~&XpTR>=OJbE7}F_sKGmwBhHp^zdYp<@A3_9_X&*-J9H~G<^aP7I2L(RG1a2 zVfZW4n7+hdp@8Vnu>! zf08*l7K4GltXxMO2=t$ZyQ_mW5XV3&*Y&TGX4J7zv&}zX_OumM6g_VPV`fIO!9T8R zw^~mGISM;XMMP99nG47Akhje+iANj3&60+Pdz5b0zPVW7oqU-WzLT1gSx0@?Ne?uE zG;)hkLVWhTsTN}pU_USWA6!Ow{WKS%3MpzZ!&ch(WqbxdN>dK~bjQgKr0m#qa!)PG zKU%1I-eSZ@%h6lTV6xrpv(ByT{=FFxuXV+4d}S;d(WKC=p{A;ohhlu!+=iqs`FY1S zQ`;K``ZfMiL0WIf&SLiWNU3YGm*h1)V54>+K8ge&iN_Ch(p&m|%@0tZ=Za@}h4B*C zeh4ipn3J&aQC8)sY)J{DQH7u9ws9x#g3z-!voNvv&5{SwADJuE$6<@N7tCj7y#3Nj zg*g>}NNczXpni4dVAoXYYHiwq9bEJmW3%h4QEd6Q zwomhZsUNBC|NdH1L9D(m84?;?wsf?n_2K@qa}vYk@#Sb$rkST=dzD^BgU#|sf$eaR z<(FR-XLxp^-heP{3*~4N*lf>iG-C*J!a?=-VOaeP=h5wlOLB(m1OuC5 zD3xjS6L zM?do`g5ojFa)+i$3?kx-q#&D;=RZlTMn4SZU@PRggSAQo>!t|Wex%KjX-AAyLKUJf zxlKWnsV?`CIvlEPUZ91AVVXPsXSbBwHB~5z%ZsUi8oK$kW34UF;l>3&e4l0G9(Ej@ z7mj{3(R}ohaoq^5@k~#!QNsFUhEY&utCke44(MK#TFv+u>wJ!4xx{+sr!!PXf)SJp zP@@U?(I$6qMs65)<<)^bh1#JP;*J&QN*pI6W5@-EV0`+ugkcEbs~1adBceV1=Zvj? z^AkNCc=S>8=*ui%K6P7la<;ve-q~6TJPHd;8`fAC0=vQOzTincckB#S+)!uT&url7 z)_C?J#UM89X(yja`(4xu80Y6H&Cws!JG8fG{$ zrK`-|!>p>-4hPQi+tM>CyX0}iWP~tMG)j}%f|{QahTd*Ro9oejiOfKQ|GgWyp$^V7 zYJTk+AeR9Bk>U7`>*JCxXY*FqE z{8OdykNu~*+07kzpmdkOvvnVe3dUfh#F{LrXxCUE4hYSr;W+8De`0}o;1qLC<8vn@NWfa4R zwxfqa5sLT+Ab>#4<7XJ`cSCK2_|RW+WpCVSQqGa;9{Ffz1lS^1+o7qFF#Dmu*+xy1 z2FiNVc_WZXZjUgz%hg)e*TG)2=dpEu0(E>>+5;4YuBdB8JPn$;o4nP{Ubu10s-?cn zQLkZIc+am-)-*TG>~xFQ2rFg>QnYRCSJwH?v z0Z6?D%V+6nnrjcKh$G_+wceTWmVY343UViL)A2>85>B>t+q4eaa+XuBt5jDJerDrA zq)xxqW&SgZU-UlZKmA?$aq{%Yo5@x;VxUHgQlx5v^(J*slo$=lE5cbp{XK0+wv6g4 zOlDjnt)eK@N3U8acMKlDzfSezlh~zGNdrbJRb-C4y0tNSHc8*V|rv-1K4|*rwmPtesZ>U!qnP@`*BOo94pP=9`h17<^Tg0kFJB_0oO_;S*O9RtmApQ>J}W_5J9fFY zld)-m{C*nAHWmf+TJ%S1M+M%0VBI30^=O8Pi(=IVqwGdzqsIe3|2Hx|lSh@JzNi%~ zl~Sw1yb~XE=~Iv(`ccosVBc2E3nTaUS3oecl6TTy`m3S1E=U}fUDd@+Ias}=H1!jc zm_16A*lMK7rmvaF{%Peb^yAELGb5=2ih-m1z^8|_lDr0RqDHKj2AH^#YJgrjN_`R2 z>LfV1nn6M54+oGL{|nB(-jldqdEiHrHll;fU|pM_=ae7o7riJ*jD*2HVA1w2UdmDw zsRK3pT$>HWH%-nA8?WSMYvV@ejXUbG{od%l!TEqo@nwUHtd4Nv$h%Cb?T!eT z>A16O2(KYR_eEC}Yx3w!fFuh;5KmtQVa&i|Q`*Cr-d)q5VAD_eFGDz#MXDJc1AIQbXPmv`W)Lf!w{&g5o{V{eY6cq zcsYknmcJvGw-K{b0}1S6i{+{bN~5`LXL3c8{MH9)B0#0lcvG3nmH&91YPje{yDyN^ z1{h`b!I+Z-K#Zqns>9K4n3Q>brsZ>@n;;=`>Xnq zYODv-hfj`ZB+kVeQGI$pXvn62VCIB^-T$_mz-+hy6c&&owtU?lT6y1TuJ}|hKbLhD z>_j1PP}3qGfzj0)8QpBR$shbx3FTD^zVoVKX)%}>Piy@5B#JNh(7N7o};ZI4*kFGBLVtycIge?2h(Z(Zk zZCw;5{$b+N;1xXiU)VI1G1}Vv+nLiGH^z8*6=m$OVfSUpsy%ouB=* zvcA@sXTL3ktdL#No4PR=<@&qiz%cN%DW=&LP2pU=EnSo`7jzas=;hqLrI}0d*dyuG3STCw#4Epq~7xvD*2}1PR`qCv;Hv;)d0E4)ALkG#I$bL2T zy0K5eU*?X~LcI2z2xkOuMGK1M>IxS@X;+txdVqB5F9v^tl{z;3Nq2O=EaSEu;{6uK z{_NCuNiSAAOczW#%scrnv8&EYmNYmTScc*y1Rt0FAvW;cV_s}^eI;_c2{6Y8`Q~a6 zLo#U>XDtsnIEYII>p9P@e}euyNZxX_Jx`tO&jO;D~(Epsi`pA?T+ zIY=Y55|jULTf&tuGOW_WMUM9xgzRQi9L{&K`yWmZn)m3nX$)L<Lf@tppw=zc zV>&RlgE9B}@A6p}pYlBg|0wjHr*Q)$z8ZMHb#Z+Bs%%C{Dr0Te8f3`b!_!kHb&)%+ z@FPk)Wof$Q<6oms!BL)zvu55F<5iSH=v8NKpOqvIemW=hD>(VlL88+3*OQ7xE&++X zEt2u5X#)<+7lFIz)`=WhTPm^mI$gjbH)+>?R!z${(i_{)K!B|cADv5mM0x)4v> zl|4&zC!hJ>liw4>EB}CSs^U`2VC2g1Bh$i_qwx~|p~dwg%Bzee{N3QY?WA4Nl&!x# z?HkSKt73r>Hp)G+vGRj|?8+>&sAkjn$*{}Z#*q1wTnXbw+WSW=F{{P?T;-Hz6>DeZbV*=)ANk!f zjUWU0@yfi??Vq7ff&2v}N|t>U0G%3Ypx?CW!IMyKZX{}>+<$~$vC3Byb0(i+2~;|g zUqrZ@E*3kAsgRQ|EsKhj6|3=lsw}@TB>##s-R93C780ATLficP>GEq7mIH92>R98N4ersoCV{mTV&%Sn( zSfJRV@ehb6l&>;Af8p^dFS*|x4ymj~jA580Mf*tn2^1?3VK%^Y7Bi3w$DtPGc1?Ty ze#D|W&h<4d`ak>?bkb2~h1pZ#+kWr3KMpAsPfCP<4_t=EW$diV(svL>7ik59gJEO^ zsp~bpW!Z!=@DJrTzsgI8-jUN|*%jS=NA3AdCCe*co^YWTgffH>MR-2T7fMSd_wS$2 zlPfyNTA3r28UlHN7j!!9i+D`%^_Oielv^XA=>qbBv%j(}+3Bz-j+gAoqIBDp#jEcNd(rk-PdRKSDHyh;YdlT`X ze%V1jW`8m4ng~5QU&P6$GIqJ+SABoUi5Y%hj$mX{8;I_J@^QXJX7m5r`4V`jzwUp# z?0ZrXk|oJjDLaWIB+3$^LP#QevM<^9ec$(;F@rI-u^VHIbqu1UlB5(V{qLyn+PCNV zexLvI`#sP9|N7q7nEAM$d+&MQbI!fz+;cuNW?TChtAi3_dtXz>!TJls%B_`0qh8RY zEbDJSwPSWmT3A4TL8>x4BjvYOj(M5K9@ELvS=ixTT|cXGD5O&)Gwy~sE=xTmW7Ixy zL-oBVlnSS(E1IUv`(Z`A**C_*Sqlf)6bF=$D8?le5lyu^P?c2`ZfEhW9a~Z^Q zZ{Q0#+@F*qX7_Y4zvOxniFnQNLezhPb5S#qg|FhXRN|1!%ocx0al12vRLN^EZJA)H zYo^%5{!^)=WTNh^wfb|k7A56dh7|Y#l9*C_u4JtprZg9>ydBBhbt z_4X4jY_NSLeaS=9@o$IJ^Bhx2s8X8Co=2WM^>j;jNKbL>u=)j;IXqX9_(=o1c#%C$ zWrMXc`}*)P8O=K?LSA7SF1q3!)3PVHxrGMbvZMA4qWtZ*!{}@Gu)$y(9@W-mefA71 zS@7jbhl_~0+G!uy7IEGkQPfem>W5`JY{V=IW3J#>Rp(yUJBH=k$zD!V_8AfEcz@*l z{u^UrN%&D~2u@$QL|o*sn8k(2`q=*J_)BMon=!Y&3(wGE9Sa_LOfBDo9hwTOYh&;d zKX@_fO+mWoAueeiiPg;Q)X_tnoy~!0Nx0#S?TM4>>3cfk$oR5izsz2p*1xJw$;5SW zu4$uR^uq_J!jl)d_&fG4E+I!ta3-WgLNKKBH3dhlh=vz89SsU0WSPn&x6+(%neZwH zKhR9+hak?EhLJJJW1a^tA#QRDI+6^b7>2a%eYf}m%c3Q5*7PiENAfrvN}u%}VF}7Z zUbT2*=d_ZS?WcYxWEECJBcLPNT+O?|)jD_JW$Ni95ypNsZ~rvwrnmH(o#%>KZ{^3Y z3u?4{U|l=k;JL74s;~k7Xx15N(Xpg+PK}K7absJWF8XA#wB0&YwWOR^7<%7>`wb+r z2E-cG;|RRkysO~i^~0Go>h-Piu(79DjNG5kW<8aUhC}9 zG7W1MnV|aUPHgtR*th z?L^~r!47exPUk+q?G=^epuPT>*e}QavTodi19@Iq`f6Kby6;b_l*X@KDZqM@&S^I0 z=haRLz4AgidVa}T)S&6_=sKRf$%MBr$26(Mx~OnGbLY1?6%rgD9avMAJnJHAyu^EB zO;?BQn6*`=k(!FM&&P&_8^!U@DYiH*vwW%N&Snm}iCdowcf0VqK)=F_Ds}Zm0rSbB zqEfs+lQrhR342jVLw7eid$-co!(n^XMAULtYwn?NQ)${?UivFQ+o!`{HJ>O5p>un9 z^DK?|AUoc0irK2z+}h-!fx*Rz-UY?pvm-joZ{A4qXi6p*m<|g2`|@u#Dr!ci z^(i%X+d-e-=xC?%!ew_DFIYP%Fvya$n@+ICBD1<5OH^ODhgza*XY)w(>?bS5V=yis z1|i}xbLGy3B(V&^23D|)I|X#g-tMX{gO0Y=ZA98rl@RbK>m$+WjdlqmsI zASOH2Io-)0`chk&YvJm3@CXN-=W`;-X?D758*O9r+L3(M0%gydi325GPdYAb^h8v? z*l>g_MTu+ma%P+Q8zl_BunU+&J3Ty*hp`i=r!Wsmr(k-!Vc}&ljo99&4@bV|VBvL{ zzx>XtPpabP(g&qd74Nfd-a1A%IV=iN2cN`ykAdr^MUuVcdNUKZ>%N3n4v;!zS!hNGB!9_$ql!VX+RR>ug1eH=`czSp=fct>dl z8(!~iYjlSLBblq2ngu$JZH!DLApj{VyOGc5YFrvWDtMxq~JZnShNtDF2NXAIj1()YJ1J#4xOuLYF4}m zCo02V7qWeAZEmtm$+fLm%MF5@s;6<>yv2g!?w? zjk`Odz*Vc zH1pz43@maa@byiFE}x|X@d^QsPR3>-1<&1&Jhp}PlsVG1vXfau_K}`G<3ZNo_ST9= zr8_8najxAzQi~B5FN?f!z)*%{98zSdnM!(A7l5pBaWRmzUuGlN3wOB-}8PF zine^21*_j5=yc5AL#yLCSMrkbz4B;|v$D$b^#wOpM#aTkLeHoam|ki%w|TvK#v&Vm zvyzxdGk<_bBHKHV8Cn|+3m!iAXf8_TxFj+e`!*$#QCmFAGKxfPU*bOAyeAbGuggZn zy47rJVD^DZ?%b-cUUGYYk=6Kd?+-K5PQD5md-{u>)b6aQG4pBePw#iQ9_06ym&NWS z!#VDduHF^JJFs)EYs5?>+LfmFn6~cls|UxL%;`J0;hki(&kUr-Z0TIt#$oxS`F)5U zlg(%ZY=_bmzYP`SE-SkQH*+(O4z*Tk8Q4=UJ&k{w$TS-Ma;mD;8A6=5*8 zfjhWZiJm~0%WJ~Rn-&^kl9yiZILH?8(YcYngQ8>{ zjnt!ct^8q+uk!lZS%=25$_Xm89i5XrRfME%c053fla}3x!61|2kyDQR6eQIYn(eO!Er1^N>9$RyY{5x8wAu#oMvw0*tO=-Gt?vpA(Ah`WTsdoi-*vk z^yGC|_G~}SbED*azA}F~$GtQ+@!*V$hOW4^3ySAVh~>GQoe@JXwfF2w5+!zRR+PCs z(EV3WY92;narx!^$7{JBw(|?PS(qOfqGG!0nd0a-Xv43<~Bu3R%dz2Hg;zHf04TlY@VDZ&gv#OLi zpMKbca;yl|`+wGmgp+Zmgj-GMzQ1BvMpJ#_vw%{2tAfj|TUP>#AWgB>n~pth{X_h* z>s%0u<(-d}_w^*%1WF94uFAvnd;}w+uaC>!NR+&B;n2i!ll$9Su?tP+vnOq-W3Mkt z9vEP<%A)5UCkcq>9EQ${2q|7d$wGqFC%r>Osm|ZqxX^!*%!O9K(`(v6*-RqudQzai zn`hwSfvH+``EetQ+o}_TC=T82_#~7reRng5Xr)q6ueDd)$_W9@qtkPVws#C9`t7wN zX%8S0CB;dEMOUIUR&VD8$OOO1BB5-Iyy#i)_%>kv7@TCCzQ843jP!8x`+3;l5wXZT z6iLR^+?J$;$6NMA(}DflUhm84md<}Jj*;YFjCC?%E9kVJVS=3Z$j_&ZeR51qOymQ@ z?Njvm^zC2#R%75>o08TH@FcTL#UowGs5O?=CDo)6b+)Ca2OK^3SAVhYcOs(@j8l%} zlcFdo!Y%X6mE1xgG!MK;B(rt8>>b>TVNtmpY1)E%|4Hl7%0uNUw63t|wIfb<7bA%@ zQH6pR)WRO|OpZ@>ZBK~^$=Xyo(A4rh-f*t)eNkdiAY#a;>u+?@S1c=to45I#AK&<3 ztsMQx= z=t`px&${h5@a4yv8DYncvC17H32jlGoH7UuQ)!FixY)_NGH9sh!g=rEO){9yrPHS)xpV;OuhO8F0_g;x$9kO;ksTJ$<#n#jz!b+ShmAe7Y z9Zk9;d{utV3G0+)_=Xh!T3W~^#CZRfPzm=7ue#HFm$=fm(Ft%($f*uSz4Pnc15G)G z%36ac2ToJYm^qu5O3h(Ku0>}#c@S%-cLL1jSc|L2{dhMS#7U2nGP1l)2p?^H3|s$b z+}otKfpMoz4Q#Sllk|rqAM@o^&S-ZfHmRN#OBSGOH6{xT`-G0|JK<$l%HbM8GEK#n zorj9zvoOWb$hyI8<6WmTxT=w4Ew>i>_Hc(plE~)PNjct8zGzwV$mB|Z|2S%~-}Bt$ zR_sH=`{T;zECkhqnmVkZL&oOoJV#hQk9*^>)>XN$Z;sTS30%9xpf{|;^6ZfY_h}_& zg*;kejA?CF8pPC@%~>EtPfB>JV6IlkiO)f~h31wpUHWL?6%l+euKqNNXqm`0!?lmQLvfQOyd+Cnx5mBaaXrR6AdP z%IlVT(9P$E1t`ZeZ;LEEctQrLrzlD8WzfBEE(XF|ua~^*%yM+I9Zv*N_jF~@d@=5f zpt~R#=UPGI$yDoTntE`~&+XIu>Kv~_$P(SVuaL%fI~}L#3p8e7RtId1^lLtdnECqi zlegulI>%m@Lh7KWYI3Kp>zC`x%S#I{->b~kYTn|IHm{MGAKOtYroA2&bCV(Qi|`e% zvY{snb?5gljr6yc1eluy?N>T?m&ydvz9itAqdJhwU67g}quD=t|82^1!J+fprd3L} zDE8mXkW1VgT%Pxg;W&uPeM}#f!@IIc+^V~qMGx7(GD5(3}azU+Md{OQxD?cD+{KJR?_LPSJNOhQ6RMn+CfK|x8m zXAcz>H8l+l4J|Dl9UVPA0|O%?6B9Et3kwS?8{6K!?CksYad7P4f8fBugPfe4T%a5R zg&PzePzB(<7az~h;&IbclM~}(V^~ne#>Xcn zr*Sj*x%q`BPoF)1v9h|h{&wTT$4@&1Sfpe>VFHk7=^2<<*w{G^a313RMh6fDqTzdR3uw#%L}tJ(^FHE zljGPCR9_bYR##b4n3t22lUGnwT2WP74}mtr5$#>wy#s?oLxTf-z1>}%9UYy>o_-W& zdFn@3}to^$!T} z_kHMOZG2HiXdmVJbPu#5>ZXjajAc^i8Z{d`!_Ig`go}MZdh^s9A`;@AZ6XSW1AM~A z1iAOp)6lW;iYsdBU$?Mx@d3zUW1_->0|J7=PCD~Zs76z8f=!a zl|yT^hh;8Xx%vhK1_T6#L?)!?7M7G(H?|K>%r7l3Jz1EapPfc`*5;)oXIFPkF0X&s z+T8rOLzv+DTxXUwqo2&ab=(ceXKp#Y+pc~=!GRAg&-0UZ1Phiph<0W-^iDorm>C`D z?rdwS&W-Ulk>h+{Dsxt`Kt)x)j$Bk1e61F+AuJ{#J~F_;NSU8wTH4%m^YIUQ6c&?OP~F%BYpAPlgf&)VMFseUB;=Ns73b%d!}_oj!-%rfhyZs} z@r6V9xH4Phs5N4bxV}q3;Dc-8WOY}2xqOJu*o3Woq@bgx{DALoN3^xIHp3e0%Cn-J zFCJy*5Y_cgEN>shPj?pun;Y2phet(5#it|&-;_SgEp(ip9-n!IwuD_fn${#|mgeBz zXFgXhiScx?Nl2fTK6lm3+zSc!yDrJNx$=7bL_yRTC;iHEc-(tGDhcF|U$;FkmmkSd^U2rI@V`T36 z>vtbNzZ);KIVy13FXE9;P)0p0*G+G1?c6msD=#*`66bX`sQg z+KYKZw1I7gjl82fz{}0@2@9<#PPTo`eq&;vxCnjY+IDK)T`_ugn0}zJUmdH+VX{V5 z7PN-jL%-y<6*5Z7eMe789HQPKVK~TrfSHDhnr08_&ZnKvn{U>($my7w85tNEC||&0 z{3Ek-V*_HEm)?x#c;3D#|JpNVe?SEsk{{#e<{1#|VyZEX+;>MhB~ zr;pd(^at^Dt44l;Dn-zyp*Jbm=G5W74h06vVYv8XD?~Qd08D zO3JFLa+0T1E*lscUe#2VJtfSwmz9Z{=;a6`KdT7R-d3Am2w$Q(BqYRlkdb8l0|f&E zH5tj5t+yLrD5$9^DH#sSUDDN1IxR>u*}25XC&0}{L$bL#(*vt1NQ%oWOb>Q;dFUIK z*Y#wZ6qrd$I<`YX;*#Q$vgb8aHishk8fGdg{tb3JRO?AHEP%FtD=jJ-{m{ zB5_9XytdwDO*OTP)^>O9+;etwyKj5j+RD_x$k@cn-OtnNnx#*$znhb*hwCk=J#V%# zcVt@_Xy))l#H%D+BD{=y7`Oz51dj@Fv2qBA9NEvt!bnX?MaRIz&UNJ2Njc?n8ajH$ zmKNG#`^aZIr>XYu+si91!OuZYPQk!T@nU*n9JfZv%*M*jdt6FdR!$K#ziMb?bj|qM zHFFOiPX}AuyZ2q3?z_6)1J=s_QDk&PNKjB@TvUL&!(E$8Ou1>BR8Z%-jk$q6$GC|} zxkN>Uc{v57q$LD-xsQmQ6cspfgqwqH?|x2heh~=?Nf}j5oohF5nBR7|bM1o65n6H% zNvWd(l4ryPcn+!o$MiGcwbX6XFu$LwtgwqCx_lv?K%=#)c@_$;pqOKXpV>QC3d%oYIA> z+A_!Zh0myIsGU`mId$TMq!__>P}aD7)!5w9-rd8^;~|(^SkN71F~v*gdKuOoY)Kpi~(8|`<*1|~N?0&!_e=ko* zD?9H;kufnbv9aK1okPPTLPBF=LzD7KDyk|9QexAKG9#kmyfySfiz-V?i?g$fv;2)@ z1?3#WUDfJl;( zl48Pw0`j47Xnh@|xe@%Ld7_82r{x8`M|HjJ&2VUKiTfU^yCr=CRmq{(B(DU9dEd~p z3eC!VB0_^B(+WyT%4-|y>uM@1tE#H2!55lJi;MEIGt)A%660DCb(M7xXdA)2 zSLEdv*S3_!<@fg1H+HsUsppl;hsIpYbY7WH>=$zm2?$OuYpBal&aEv?Oemtqq5+U zwbSJhgNf+o0LN6eyJb7tVToB~6;*XrC1tf$`Q`AARz!PyTPG4Yu83x6eRXA7QDG5q zgz6!XhMMx?ytJf*5Z~DH_AzvIdJ(+8x4EXOG$*^Hv7@)IzrU}qZ`b8*L%^F`V35Z8 z%F5Eb^5)i-5!}m_Y1Cj}Z%B zTHaJ&--3X{n%j|msKNe${yy*r2Ja@!2nv{0Uk`z`z?)$W)ujblDG5mJzJX?PKW_e*@dF9D#GD-$kitSG?r|}yUM9=4j%Y2ki+sEJG zwa6;2Lv}%1(PP-ru?fOKXmVm=96LS%&P8LRBj}-iFnUi3B*w)i zWOb~sR3$-%$7g0|W~VV&{LJLU7?=Wjco?v#2ieil-bw&eRn;-SNkT?Jyf`+u{OZkz z_b*;;5|I;al2K4HvCvTyFXLX2e3|R*$DmM1NMpXQZ&Y4m6TH0}J3TouMK~NyOixYY zaNwLY4bDkpSU_NKa0rO7rwh^2SOZi#CnG&0Gq1R^XSyXOx_*2XH@`SPgPWVfO;3zr zF(bo3YJEKfKwtuJXyf402T}@hDx#P3&(~irtZuJwgTv{bFYigIXc?(C<|eRX_~{;a zGo-$Eq_LtjJ*~8(uM<6i83Sl=GXTg89*>`$ox|g2rh!EQTpK|V5cPI-wE^|6Dlf{< z%_%Icguy!|riz`S2A5~2@pDfWAJ5@|$i_x7BS7v0ecjziuqs;Mu=ZzPh{!0ZNOyL& zwn(;LZjzHyGBc2o6F=Evq@&!K9T-4krw1CEJG#(QQv>kYqEh%cZenhB8sNa;X1`)t zcsxHhI}5-~5ddMpoQDUyJ32eyzzwgds;sWAg*GF4hbCq_;@op4@T0f|!ufXsaF)<~ zWO#635XiU-=v+Hu@GS`mID)@<_6$F>y8e3Y%}4S*l%GG5&ST!ce?HwiFoGSO7yzf3 z?g^kLeK1H<``F?fZgLcho1K}Pn*%_=33}l%z=H<|Y}^!3Q{aGuNrPwWJAq1r<7IPe z8?vttH9CQt8ZJqOAzH>khgtmS2v9t565ee+)YsG7)6>&8F!t*8i`6$Du&Dm_jv*AP z7uq>F{&=Eed1VAYH-+vU8XConVj3W$Gt=WheUYu5t$lOzvvXK9er{%N1}G-M}dgP9?uL8HdQybPcF_pUYMVoo*bW; z0Ek9_fcwE2d=P~h9YcZB_ZYklUR&SV+5)YpYHIAP3x#cLZLdrYqbG+)vDm5RioqGM zelXL+9sO->le6GQbjEj8W|u2KeP(BN3*Zn?^RcmU?C3BGteoMYVbs9Tz`)SZ5DJYR z85>4pCub)x9gUdBIQ-<;8>uCAp8 zmUB0zZ|2#;I2s&&MlopYVCMjKWONLT9Y#%}hbHk;lhdO^lk)`m%;0BcfMU;p>lyF? zJ^>;^P-ItZpr8SzLBOm*)DQ|RCe+CIG^VF#Xlww|)H5=Qox)ZYi{}vK-pkl6l9ws(S!6j2Rsr`#Rh1A;JcO8N~vLV<*QjI84{*90AMB zBo2oo@QAR;=4SB(Km@fO8yf{u1KJ9f8){$xhz`8^2Z5#!4h#>q_jVWLv~;wzbOHSY zJL>Q-kS}25VBg?iTTMkB4B3ZlDak6Xht^h9)E7}PKb`+#x5Cfqv+CNY8@ z8R{P%9vg+XPR@)@0ac#C14&H-)y9LXS%Ol}%z!-!^co|m1+WRjgblK2~UiTj*g;H{oVb8y(1lkaNO+lG=U|!X~O;k*t5G00a&~2AvDH}0OkW( z^#Uls*tUaXcngRfb#-@l_jRLs3bLE~+Uo0DyP8{3Xdq9(y>9RVZM%_OJ>6Yh$br_% znkGaGtRy8fp%8=V?i)a%F$8e|?L>nD%oKXCw-1HtudC=A><6+#kIm1|;{khi_aT6e zAU}fofF3{ug9AWuy1PK`wXKz4znfr<5Gb^Nnf;j-eqrRF-Fk1|;oj@4|K-6it9oY|S2ezuO zv$X>~J&&6JNWf~_We?b;rzZe|c2_(w1%OCrXB)8T@a85Mq@ljLx)OLKl_>?&DC9sV zxIH}ncy<=sKiJjT1x!X;TN}IuY+BXzjg2rka-gTJ6Ap!Dkn_4)9?H=v{D$~`AUwFQV833Cz5GewnfkEo)%1SHis;dyg!`(yJ zj^fOE!YF{BK=?h~JwPA976SM+j2;~w>;WJNYk3%r0=p`#7&0_IIX(@R`!rw=&?gWE z1?y`R7!BY}3;=77B={Z(7!+DxUsX|7T$o#sni}WdFg-9ZJkZnA**pJaVX6xX0U~OF zH9>$2R8>))o0DH&S^@RexR&l z7}U_{XcwXv12leYa%y6Fa%yS4${z!fOoY+U_k0X z4_jLa8rIPXmPRkZ5QF`E7}#*kw03!fgt&Vnr zt5{!KSzeNxlbVna9v2&y~hnS_{&{sk`92h01$2m1yp(z8kc`$`H5va{1u z(-M;6BEtiN0^MVaD-nbfQBPY{O>=E_VJQfC=K}_2XJ(|OB*({r^K499LPAnjNi`g7 zp>Qa?y#rnY!X^c|d3oRk-ay;kl9ip8pI=l`T2@-Vi?E`+tf&A;A|Wn3JjgHTe$XSc z#CzgL>KYnqN=uUBbIK};2qF2jjMT*B*x2aMK!5*-_kv=RN}vs;WsP;krPVdS)6B`v zNKHvfN=!&hhzD{H0VOmnEGi{EJ-?!=vZ$oKp}s0FEjc4QEhQx>IVmwQAt51-a1aM2 zJ|PK2?$gqDnF@gBWMvUNdvHMY_X)7~aJd&R7^vQmo1YaN7?TS^{TW$lNkG}-BBR4X zLW6uBc(~lLyJPF0ni&?JUzDAlnU$5AniLls9T^cGN&xaGIKbD(+v}m1Pe52?Xhb}K zm|9p`3>HjyWO5QXsYgXcMuvxlJ_11mLWDf%5dnQ@cw`g-Tzo=&EEp^*A~eX~+tuFw zo`FjM-Y1|eHZ|J8B`P;FH9bB)E+Q&CG%P462qY%loE;qPEzPg0YMbBkPX{7Qh>MGf z1xo=W1AM%^JRd%M@W9o<4g@Cb9NYqey*>PbLc+qMqN8Ku!yH|s>Zq(UECjddi(h7MpA-;gTYY#Uf!M#9`Brq@tbocl3baQpEziWNl%EH3zn&H(e zS3xYr(Z$Bv8BluYVSm>*(9Y;VRCr*3kGre0v*R6WOLJpGgDaOW>*^a`yKa8N!qU>x z;`VLpJ0RF)f6u|& zqkCCT|Jt>yCeD5!7UJXK;Bf!Glf&J6cWtc9u3gpDy{vQjl9q<5is}WB?lChpH8(fC zW@2t^YGbOb{V?!>hsT{8<~MGc8)&JWRg#yJk&#tUR#7>ps;;i4e&PHD4NW~gJwq^z zmX@}rrmCuzg31*#^$neiS~`k)w=L}LEbdsETbi3(H#WX*Y6K=Nee%>9StV611GAgv zCPrX_`q%XJ4D_#D1u-T)-Amea^6!GqNW@B>9Bo z@P*|QLVO}3a$1*kb+q+#G_}EWRn96YDaoFZP<-~PQI z@5#Q810)A|c|czB5bt3=!J{DT337ovhqw}J;Hy4?=UYn z7w3Wf2f^O~4vqu+*+If}-yu%+gGVJKM8%{|9ipb&x0jxpik69yo}QkTmX?N&0c22_ znAzCaSXr1D8RP0UQ?2PApvLg4;$}F z3yaDs>fo)7HI)@rRYj>W5y2kT_e0Z*t07IuvH69kFW+o}bned1r_Z0>Z)|?p201`7 z3i3VlOpL7iIS=gR;Mun|yF*Lza`huIDM$p95D{{|pEf^ie*8>C3@+ARufJVe-+Z_7 zY<3)r>ca0JkXxo>SSYLuv-o%dhac%5>}+oD?d|J9Kq^bi&ML^ARg#vLkver+TH&np z(Idx>^Bp?OFLY8-{*FULBs<$%pNNS; z$mV5lQ$POctG91nzIgfa`Lm@(JU9BFNt%TjupQerYHYBv(9%Ttm| zkqcj__Z?TdpmkYWLreRj?rl$h5GBhmuBd~yboQgiaQKfq$ zfnH$ZyV`(1(ArX83H*o(SaV%jep0ZfrMf|=wVBt21W!9Pv)g*ttS_CAk>euYL%sFt z)AkasH|6$izmT{>XjPCg4AwK3hKk$7Nod^QN*@eZqz&gbzXXXMsR9IFCe1cLCtV;wD&giJHu*k@W z7+~B(y-m)YSC>3xV~a=Jc(8Je}J8D;KVM$0r3_ z>6}+QB@QwHpP!5l454~kVYOL7b`GBI_w8@#UsgXx_2qLpUjF9I4t|S}%=-S(p|1X? zWP1hWE*YC!+;#VMvoyT!6n>lomDu^M?=DTLfhEvx{f5v_KRs`>&UB*A3wYr&iA@3h^nMk7dr4HAL}hid^w_F z>dnV5Ij#}#<|VUD+5i#M2s{$>#I{uc~MuWNl%Ig_uj9@ zldv2X6F?j{6*RgZgtRiFLl2Wq@fE$vT2)vx#sCHCbQc5DQ{vlxzG4TXPB9h>71i4;4 z!Ntl*wTbI%Z>g^+uc<9cjLAiyyYpR6F_RM$Z$ImUAZE5e%KoVM@x!ddn1Zm-=QC&70ihMtqN9^w}kJ#j`} zNl{ixLPUuFh=8!f895nA0S-EHVxlh}-#(w8!t}RRWk&eendzyX;^$yt;oudP0MD(+ zD{C0p`$wl2R@OE&HnsJSKVE*Z{OtMKhwTq9XV3#E5CX=HVKC#@91&y6H+pYDk=&m`PpeHsabhMWzL@0)X_J+b=$_;%Hr0|Tfnce zxM6CbqoI0MSyAqk@F8Z(FYi_sCwdzT5<+}j>}`M_bVXbJ+*uWM9n-r$q462{#bxD{ zbxlb0%#-Ei<>#v#pLVv_7N^Fho~-W>6K}2H23l%Li%P2?t=*_e0b#Mzis!X-uNoMc zm|NQ3b8-Q`)varnRAoh6QOlCQ>4cXm^Xl{acp=V!x1o2Z+q8(rjKW=WU zufHdvpk-vDBY%hQYia5le@(`?pZo9;c^PS0B{i)p*UWC+zH`sX?E!F5T^+2=jr1;Q zY3W=sGPAtn=;r0?9~eY%Jb{l3l3l*u58RyY+1@nJkP%|vv-M)>#oNy$q(pBY57cKz z`MWtfc?L$N7D14sv(HvmS65!XTz&hI7(7iy@^SU?I2t|nc%6iHFBc#1Fb*Jv=-X-P>LNJlky^kZjV zyeA^3qM@N8`@FU|iNQ=hc~8!CfKNzR=r9Kz(K8IP4T)VLXX8J0R#OjT-gnD&GvGv9 zS=-*Z3tU|X2S-qV*Xr!*=JCMup_jKeaL&IKZ%=pUdp0+(T|O@_Dagq}MYO&&I|*V} zgomV_EFpIkQ0CYxViP2h?Ja?ii&Cv z1sMqlg72YY<>VKWKC7XlZ)9@I!h+y=TUp(p8c%!ROH0l8*5)5KO;ng7M?tNx%U1O2?aGhGy8!l@ZrpTn1;iihQu{3*0BJ9; zhYvkHJs$w4odC?$)y3KAz9Tqw+##6E8-z!%uIK`1UtLv2SrPcVGSX*G6Uv!0(lWAg z^58MGv*%RR&Z}S00Di3&@aVsmOP4O`=v>y-1KzvgHDlASqOsX!#(ih||FY8l|5gEE z#_!7i$_&1v`p+x=r*Qpq%741W|2@P%P3liH+(q-P-M@frwrY_# zXHCAx1$um6`E4EugyOG?!nY#V`ZG%KxIimh{#(8LxB7pE;ScZs!a77NAn+Y30s~qV z6n>58r)xl79^e2lesEVoUKT+6L$ZIO5`iF05Ihj^D?aUl`AQAM6_oyn?mw#|Fil<_ z1cE^!Ob*d1FZV|vzuo@|^e4uHScRej;wM0$_fK;tp!wJE{ET;ZvV=(!Y6vKI-@Xy} zdI|Xb6)FG?YUI8$<0~Elm~Uf!1w+8|^VP4w{c`tvR{cco`#V3Z0bS(f31|Rld3i!J zAh5Q!U$y^ZIKPJW?fTb!en{^RZx9Cf?Tuf}L>{n4@i(ma1KNLB^*dT$Nf0Rgj@(Z- ze!}qme7-~dhxGnT5xTaKKleeut>_t2^+ov*$Mx{Aa^_*O-9kTjg(o{j-t& z9ru673<8o}JYOMwhxOk<@*j=y6X9=dzQXuj$ zty2qGrm zV(GthBVhQM`d_*Dp7JjIU*_=3U_YRsup3VL_m{8aen9lc5QbyJ_Jck^6n>`CGfM`RCo6Kk7-S2jhaV2{Qi1 zJ9&8-LPoWEpK4!p_90h#=s6<~nhlm8d~{}I05bN=^S{VhxW1;T%^%a3sW zzWy%``=^?NFWCLlcDp$KX{$fe08k^8-KO8JfAsNZhWm?cenjfe*Z)O=zi$2=pZ`47 zAGQ4RXm&^VrTMo3f2#P=_v+GR^al`si{)1|zP0_URDaz5XFT8W{%2UfeWAj>Q_ ze`FP+NUoLOTqberMjT0RR$h{PYd^GkRh0wh;9!<3#@G^D8mEKB1K~T6Nm0d&S1)Be zIOkV7$QKBh52vI49=(blYHu02tSLH3rxB|;y5=+`?%w+5Cr|<3A@zXLj6+a3O3KoG z{5f1}vyn+xFJhn0V{J2Bg zp*3JuV>ybrjLJkDBM&&%bhsra(8)qR*Pw&?@Zlwz*`eIKE5|J2!lsvRN1;+Mjs>|> ztml38M`taWWpTR31Y+D^%5OMhtD}|65W&cgSd!@zU>YJu!=D<*GtNg znS&U}jmjIzMOfX20hnNI%E;|APA9yn&`E_2u!p(AqwO(Z4n1FHmpyq%oVi~Y@TiI% zGF@5oShvrF(pC1%=QY$*26ve)?Vsn|VO`~`V}84oLUjAZ-*~l^23afuZmx${RE5}yIx+n=<#zhf<2>`^pFW(c5E{gLR4Db^o z#qO(oWB=I^ZZH~t7F&N26}G8fu&r$3bVxG!LhXctZS#(7Mb!W5(I z7D{|w&!<}}4>EPtThv7%TtuQ4lCW&!Q?SIKObxQjnVEZYBA7ejFn^s-_C>z{MJ;ST zO`qK;W)Z|-H`(rve=pIRgZDu&obyv^V~p~Q&a15vd~HVp9_GplF;DuhvVpsgMeX9@ z4?As?&V^Uf=S@c;q)uM0Gf~6_`R@$-u-8sW6wk%y+U9kgib{<1{Ub9-nuk@#_8qpR zT5l5_$R~tvy08D(Rwh?24>@COc}!z`cG7*1z~P>#@r3P#qH9JAYCEwB70k6@o^*5d z+M>YLfb9N;W524yUv?^`;qyiNB;)WgV(3n#n7o%B4v>u;T`5GvY9MsDNDjV3pIhuC zn8t`3zT|8oIoTQxNs~)aA?PNK#~=>(U~n!0gWF@R)|k-Le|Ry%qs7=F5#>g8vX*+;{4%KrStRUb#=P%z@8_=#f?{rbb^fOz&53@D#Ru zuzkf*Y0UArBUp^4T|dn6vzG`BC!^sinpeXk-?KZbh6!I)mREa3I;Ji=&@MZryyHp~ z5mV)g!Q+-N#MW{L;j?}&)_haO@Zj9j4dz-{d(^t4KWCS10|!H`c&s+*B>UKEZZdD& zE_D99RGI^rUx5%{vucBSC+Me)@4jdzB%BI+|0bV>QF4*UxE-+*;Z+hb0 zrck(5fm|hH#kxncQVCK)ML@8qre~cZ%REi`bjH4JPA1QB4{z#J$3)_C+SkTxzc9)J ztu4W?3vt0{tTXd<^vo;^VxbVfB)NX#acAO^33nNi7oJZ&ihVMeaI7Nma(7q^E=(;m zOa-uD)_+hu>u#2SglwjZQD4`n}dtnU!hK-heqsqrEmr*ZqoDQ;g+< zFLP_Fp5qAm>~~doDoSHh`YB=Dt*OH7v5^GkUT<11yG?Uq0Cs6 zpL;*8Dr6e8F2F3JWVbwd_Li6EgC7vL;N4{d!9y0t6-@i0kb`iKqWwT0NUiq;#r?Gt zYj{LR7(XF3bQ^K3Zxv@24T>|(AN5I_euvlGwo0;%aZ?j@^a@>4?Mw?O58Un^2Nl*uqOUvqbeXQi}0i56>K=p*9VQi$=TK&T_eTwS!R^$wUH z@r+e9K@p)T>8XqCDGV3I%3J&Nbf#mEaN_BCCu%jWR!#U=uDuQuasigN+=QAv%Vq=ZhRmcm3c3{M zJAQxiCJ-MfAF@uxU;`#uAjJC*+c$f^_Z#@Jn#u9ZEf0hsJ0b+{6q8gL9TCwq zn<@e)uY07MJ&Dc*!dnK-1G|PYTE+8I^fmmXLsk1iPisk-?4QqBpVGDlGd7 z&(J)!(9{|SG-#p?lkDVqdbH8W?8M-qtIzJ{PP4aEz_T$++N~^mlfvu8f%i+*D+}Aw zb0SiRxN3etiH>HPeq3)O5Y8D%0jilHHvfeOWdtT6na^*rnH_&~<6sdL2k%LZ^c&E- z)uFlij8AMU9Ef#FuaDW%V$!;RzeYXe@7iDNZ56|+{)XV{qbjMk4Qn01d2X*ih*RgV z{)&tX<>jktk>CVwuI!9FGP&z@kz`0>N^t@800k3-oQw0Lju~miZMq%LJv#{-`a>sJ zooTsMCRnW(;$)%N;MrHUmpQmG16x1b>?6A;9RhP!6~mKM%4=irkoO^8$&4JHII){i z%&oG%&$7oC90PoNkns)`%JI?asbM}=srg};#Ybb8vq_RkH_jjt8S55(SJORw5XuN% z=m-5poI1p035-I{gN`n$Of`=2u+u=v2Y&emkqq0&*!+&ma#vxWj{NLHlf?wORnQh0 zRwogq57uiPaJ{I#CCJ+w<|5U1@{=N&m>Lp<%6xMAXS0l^I7`M36+|mXo@isHgl}it z*~*bDdsXD_jtHrV=0|iKYu{70@JLO0yYiKs50a@cCFNS1Wh}u|monmX1j zWHX8SaGMZTeJ`1CuMFw6S0zOTl6M8Pdl&+a7hOi}P#o8co4CCmxoRP~OsW0kfI0t! zAC*s_yR2S$)WJ|>e1V=3(qtuJ+q}26u?`c1S^;b-TGiF&lR=b<=%g4Lzi(BBcP*KA zK@aS$m{IQK85^`2Zulaxa23m@&5~3w0hIvCM?|=PHkDo(Jmy<2euC0c=F5hq6FhdF zn2zaYXDT{ZqKRFsULk!EERlwTC%rK?$4*G`r%hD%FmCa7vXuOoy#{o^T5se?x~`7- zlk4i^j(C|^5wDET>>yW;8+YQ1yjHXtI^MIpSQ6{8jbwjCLsU`b1ua^MfOuf!gNSgg z1(SCnUE(b^Eij2RD7aNmqx?0cGG|$?i3aViYhsGn98uG~0u)kD+lmilFXQ?`Xneat z;RVPS`m~38&j%-t-Z?Fu*o@t|2lsRt*svPy8IXk$7p8_MN#GQfw2t2VFRW#9>o*o^ zFgkg!Yflcx05d?$zfQWP5f0`?T|g)0s`ZlOw$tN*GDO6+E3uT1#X6Wp`3dQP27|P4 zFYDXPZB+-aD+-jd%VUMRS$1wk9?tq1aKZ$02)g#Uml= zNPI<*FiXdC8I58FQ`HZ^Jeh)Cp>M=V2Dx*h;@VE3e2{l0u`~h!4_%zEhRT$4pT924 zxMWG$m2>CT4OU}mwxVL>j6t#Bk*}24XJwppy&t7g`?M*9+3O`(+pu)DV*f+LcS9(YZYT1B*MnVy`6>S7D z8lca&)Mhx>%9dv-XKHeBLmNojA{!t>MP|xjb48jO%{U*~hgwigox{}>Jeh){a};R7 zsr~FcE?w=0*W8-kk**)$-SZ}nvOgn0P&R*^8E`Kl*mnPlYE}EnAOapxA?HywLvMNH z2nfoBS0?suCs^LY5Z(<5-_YDyqpp_cT^91zfZ$`tdv%QZ;JdRzNL|Xvo0(&8Qc=^M zrRw-Z>&rJ`G*wCc2nLw~v{Z-{amuTyv4B2eV>isSJ@Hv+bTN#BQN|W-k|?%B(@3}# z7QEObXWciK^HTvv@L?3{q9@|*8xHJDE1poWktGc%UdM!rdZ3(Jo>urruc^^|{1yBZ z7ym(y8LRy()>`gba(n?cu0_So5UA-gr{1y#qJa%)toYqBTvxtfQXhktrCwV+{->*wO?K}Zkx^L7i>1ZD{$OzIAs_VjhnOXkEDVYc-QAK80;HOZrNH$@s zSpSvh_0UMRlTy*=nTJ0y-pl=14Dp**7rE4xBUf!cMm@ z&%(>Z$c%6&<*?&8@wKNE&uC|~`g{8^(^~Q31k1Y#sJM&QTR*)EuEQR<7C01?7Fe#p z+9B%L_$cpY)49ibO_xu*3)Si6im6z7AFj<49r$O!49x7=#=y4Dn(_zIhd9@JiLE5$ zuy}W)%P}+B*$@#=N_ND07Oz_Ck9oH~*W5MJj?nfooQKI{AsLW_qgNiM*ZLS!j_nqT z8%#=8SyzxC+<7(3V zV3!^AnKcAz^qE(@A6#TiK78KHq{-w=X2wt#ZSpZkL+V}R@k@GX3=3zIP|!M+4I8Zf zW`4g;2P{6oq6CVQd4FO~f;YuK#jN;t-5Wx;(SVt~shb9;OwwDRNs#P90>9bsYQ|uz zC$zL4sq5sV4S9lyrU{5Cs{X(UBAiWQ^n6saqaX2a8{(;!%L)*zi7GYJ$%vD|!Nd2R znxDZkN_E0X=?TTbkdGR00x^ZTG;~mAcHC!F$We_G8-EmIuFd^KO1BO#gB*_$zu zBWJP^Tt83=HnlDprn9zt4vI`z``5^jd9yaoacGJ>mu1zjEzq|fy^)$aV16uUePRvm z7gSKceN~QXrnvGC%2m)U79MoQ%8)Uu)R02(yeRG~KYrq!TMNNoi;R}KW|i?R@I8mK zTYgMGBQ1;eQpJjNQ6{xC4RX{M@>-UZb8KeO!Y!_&zQbYYm2?)(Lh(qt%?5_}ZP{im zNf#FNrl-HgaamK&iW{0+rog4w#7rsiE7@UT>AKCfEw;)!F9V-jF-4IqgEgI5_=(Q; zEDJ(m)P*83$XqUBA8M_`kj9GGRMu>7Tc*q?5ts)fo-A~tV2lSixXe8o@fVy$buAO!sA{t>IuA_g5r5$#F88S5%-c)|>tu{*fh!JUDP z#qf2o$-Y12reGY5i?;K`_fuu&^bp!#XZp9t)ktKJvjC z+&HdRC~2vc1Yjou`GI9`KV92$TUqi9LO&m+)P5f~5=VoxcK-x3XY&n(>{@bOUfD*> zHL`G;jGw`b!L}-#2wo$%9s|$aSVRJ%C}Gv)z<;Xpz5Dt2vaKlgsEkWGro_b;kvUaa zr7sEJEE#&XpY@LZZEFOt<6WLe27)i57z-uTTBzMC%egBJfw}vZ+OBcHSz`X6<3qYD zcaFVO#Tl_&IeVyTZZMQCK?^@mAOW31B}ZeY!rZ0Je2`|{W=!|q+Z~RS1*%GihRQ>k z#Obg*kV;>#Z-^yNApBh3qi74`<^^5KzrdfO0KE|gX`)W`K;8i`g?R8Jqaha zRAsQyi?DFWm0pd-R$R`Jn?hrr@DjWrd9)1r1he%?m?c+9zmYvCb+3~oDxAky6oYeF zhpH6iT91Jw(Rczx_dyPJTDf6*<;5#HkR^cO*LjNM?TnOsY^=K)R6k{QXBp@p%zg6M z9OufP%Y%06AT$zzwxoa*se~y#VC%GO(bxl=c``0$GZ@H{AdRQqkF0j_C56IbII#yWk^A_&NH4C$57@a$F>60e zV_#`4!egZctn1Z4LU0pEfls=+mO5m7AlA0wF~SO)$yyjspzBltxeIDB9#VJg?l=>k zU5nzj+yvE#@-0p{q7#mEhvXBqeyIiY-6Y^O^+@7BgoBC%#4sU{?s_JW3voMU$zR|k zRnoeIn4cVudR^D<#8zCd#<=DY`DwXZwHYbUbALwiKkhi;cx>w#5Pt9(Jtyww`lgF~ zSmMK5Kk;8VDTj0v`#VohW>8CT)++}mm@zmHK1>LRGZptBDEK)iUjp{trNe{OvfrEw z{nZcDza#jRnYBKQVKxhb!+JJVbmpiulBN38ujRY|uM&Jj2JA=D#_UZJ`t8)0yqIs7 z4tF0AZ#EF2?mR>fIeEE*E$pSccNVo;)>n6li-c`__@O$7UBsUPj)K7&Pw_$eBiksvQ}WyuCNqvi zv~;F1`&2qj9>J#9$nL3B-9UtxKKKIx6zjETY8N%=;oZ(O2B4F)^mtw^GXQ%Z;TMg@ z$zJf(3Zcyzwj=@iPE;TF_{maY8;65%kh@;dl}D10*tHWNx|(?{Hf;8gpg)tDxklDB z&C{#~*!CMQkfWw+3OCqP>-F4MDp1p@B&d;SL#_?NT5NqfzQ|Bji;AsxIngYrr&B)i z3X0~w^`4w%m)qJXxZ7b^-oO(|J#^#WZIYcQR72=^XqcOl{GV<+kKD%{SH+WYR%<4} z_+ra94T{%?xGA!meU&f8~kQ@t=P1dHL|gDYQ;sJl$k307R&VnTrs=nVdij~ z^@d1V#8RXO>s-HcJ(QJ=Xst4~H$fVr*?{|Mbrjh2UaLg#VZ2-+7cGrcv30a8}-R>i&b|OrDdr4G9NM2bt(x5avS)dMIH3uab zN2SsG&#tWmn{io&2t4)a#O+W!#S+*;*2Y(zPqBgvH??zQ z`1TqH?FQ^C{J!00Pqk(z?O3ZSWrJlW5}}L6>DkZfM;_FN~`mjhtKoW{|d$<-X&r8$&iDWtmlNS`g|N}u1$dOLJo->7q`%xD0w}RT3^aR ziQXilX`ik4-KmM={(Z!qF$U9W1>5n}lbJxbX%`01y6GtU3SnnVKFXQVtbjP zj6yf#iD{@-uclw%p-!3Y#H>XhjzOxfj-8HSrE2z54U#(!J1_pS`e`|og?v!L%=#-y znY{(eeSnlwU{C?CzL9cU?6i4MPV)&a>5ALedYnG`n1ZhI^qGj4oB*9pYCxO2>K>v0 zBKZo7Gr=jj^>ctm_RH3xi!{kn7>00$E1mpdOp>%X@D`Q9D;A_X#4H~{hlrxi`30(+ngBvG6eK=3Z8$VB(4-sP4AdD$?SsQ=7)CG?u zOPcMTy9#k)xXJe18k!c+e5{cMIE5&BLRExEX2B;oH0bOwW(rm+_t!eVO((8hH``rp zXQN<^j7@g+eKV5R@)$q1#~_g3V7|ezKe4u#FBrg(KFdH4BdGc)Xvp=lmF0r8x!z}w zdsdM+3v#TL~6YK?`5coQn3iZ1R8FDg;2(}tAlZ_ZK(`x;;sWzPKQ2);9$;{ zFPA)+R2OK7QolR&wMw@5>h8{WF!1Vqg^fL&U$G+zt=y6(yh5Mg1qRm}DG}d$)nn~h z;j{&mC%USAZ==iE(H7cOn?^<;ABx=Ov^>BUKTBO(jge|7#Fp1ZZe_xTYs{L5AxVc= z_P~q@&YjLmtxi5SdD8Mghjxd*cNdExwi_%7_gr;oxqTW9PJ3lO?h{`@3&NB*us;{k zT~)XQ)g004b-ob1V2D`Mb~Y|@VC5w+LK_bZQr@1{KtFY*3!t_{#qeZhlzSQrI79BIyuc$m>rG@S0|L84b}mKbDw zLg`AiJ8uwUSv+b>b_&-(%}vdWaz&4^HkXs!czLX?({+nE4%(S8f6qgPy7+~735ixH zvS0GG(yKC-V6?UcwBKZdJMB5XUe#3^n9Ge#&Q1tMJjD0u&Xjx0w)K@#ps&_pGkmo2 zvC(_;O(j7KZ9_lU?mWuCizpY8KBqyRUpi<4LfO8OuC%hnZp&w3ea}D6!r*RPE~l@< zaI8DR@b1o1FsP6%r@A_t68X?S{j4Te1;5QB=8@zF$U!`Og*7mk#hM!nd4tj{@-^)2=?;3O>%_y_ zRGv*Drf3?L%MRfNQriS3aHVOJ8}|l4-ax3=K-hN}t>Jjx#_8J&v}G<+%)krUKy@I` zJ4~?_p&H>KiSp_i+sAiR0ysw9q6-)9(S-Wi1NS$@Go)_HJx+RGJtzez?>I?#+_r(fOqjJX$imxnyYjC z43Ahd%^Q-HY%^{l$*Ty6(mH0u7JReZN0xd|B4x_|Ahm)Lgm4i%MgXqVSS7I{7VX(g z8qh2F@u1ZEr(&5c9)@ejKQYmKJPnUf(#9t8(E0*r)#eiU;iWn{Ri*`wUX?!rnPc6J!EcDV&(cC$(H< z?t40�k?SZsSc3vKn^#Jn+Lfvc(>urG~vje60(cPuzDR2B$VS+mkgrqLU>W!ajAX zIWU7if!uwHh;A`v>8cG$vnxwrtrN;8>;Xspe>q~9v{oZqhPb17CI z`N4^ldpX$AL;e1|`bB6ZkqYSTPrtd|+sNkz*q6`{pd7m%1S2qGJCjsT^mJU^nkNoL zW0|u6D233R<{}?j&=i!F3 zFTQ2_)|zS$RQ|T(CqR53eN9|7`2mxFTFa$gw*lwRz$T_SrQO`6I&Ac?&vuY;{>-2^ z!BhZGTt~BqR`mSgg{Wl?CVU@#o8PUgnpiZAfiJYK0E5q<40g2pCX(sIr&lZX8! zDhDzvo(k(IO{&y_LL@a49cid!f_%6p?;zv;pVw4od?6l;|b<<92a%Dx1nv#Zc#c$gG(}Am{o$un%_&65Iuxs zv^q40OJf#5RDEQUC#f~Q*wBlq?ogN_c^RNxCMuhcu=;P7NJ)FOkS)1S>}Jbv(H&jt z(ka(tT12EMGvSw13hB)kHl~|Ogf>==d~=>{Q%HSpmB|hqvc_4+wjM^<;>ZcvG_3&> z?+YM^Z!g{XoP&4()3T>GzyNr}%6$W~m%Zk7*fxa2j~B*s5R{D^-PMCu8NMgg5_W|k zRmWbqBt>3&5l8)nbE?D)~&uA{id@AkO z0v@*d%`*i*Is-2s+JDA2mqpj+e6$_St1;N2wViDfPjV=RBpB23m}ic})wr)`kD$fd zFw}|!Kuwpt&vOavr$X%$c0PRQa9MJPQ2Ty6*<_{#xU2xxW8M#$@W^`yzI5IrcAvcp}HwoicKK8D)J9PRm&M4X0l) zd~*Dp$8VyJ&nDi*OVquxLu%)f*Hb>5==0Zrp2#Vxxl$c3GK)bDZ9?MAP1!fmFSrCg zoM%n_l?^bF0D&segKP(_&RHBUIKS;+u=cH1$cg#XseLMvu;Qaus}4f))FMe-nBE9@ zTGq?rR5xgV*}zQ4*mDkHEJ@{4@kU&~iJwY|!_Q{1>g&3=_tt;t&{)wce!uu}E1r_B z)Mw`0(W0Q0eD7ckb9Enq-Vi*$_0%u9@XFxb!BhiB%L@*m6Oa%(qh6*l%@qUH1PEa+cEu(=^%_gon=wJh@n&j7eu&L zm07h*_5KXvLTTkU@gXm7IFI;jy1db6Wb`ZDtW4IPpD@pU-|`h=@L zZ^k2DH?Bk0nbe~fa5#uoV?jBn{eLjqXJ@?Rwnyu676(q8ujI>XeIn zO2OAFR+q)_yOFMfYL=P0?M8p<_w zh#36*XH204S0QX5I4E7uHMPv6i$}@qZgrqjVUi z=wg08|5P(d>NeBzpoo)Q$9-U+Nir`wed~mwK!Z4!7ln_SuAj$G0A1a&pXY-#6A-)2sxKZlPO;x4e&Pmu*U@cPz-HsH< z)gnVjV&|IwUTkX%S?1I3kJElH{3s6Ln^X^~mZ7w0dIhG%gNA2T15^u%DMB^JVuOj~ z#|+yP%DA?VO3>tp&HiGWz`&z*{LgY9EA{7C@7;&2%6_rpo$V>QL5SX4stJV^gz7(R zd1u%8L=|vO-+G6ZHO7xq{)txOYxDuk4o-1)ko4=V4JUR0wY~9=^1Mt^pX6u+Mof@| zv-)bq)7)LMMs99Zl%pK)tCM>QEdDvRoyj3W?d$TcH>#9_wJss2$vnOLRnknzXw2au zlN}`Zx1y*#!|rHs&H-ESI`Gz`&61UpF4=LXs8G=b@__tWS5N@P_-F+zN3nhTU_O^$ z$PH+S_De*0EU7*`3&+o^6zr`Cs}$*IS%pnytQ=Cy-fTrWVTv>@IX{Sux}$-|cAWXC zWQx`GLTI?*!@t)fQ_`v@_N<^8UWdVUj((0kifUd*HPQLWN-o{|9?NzZ=5t;y44n=6 zYkAa^f|YiU%sL^f+O`GxGS(9jn_oSdX5nOV{Tr;@7yE+x1BRO zUuY;laxizNTc9U_z@c*>kEV?)P+r{Bc`8fM#aYDCSGqD>D~y9t3hy6EmIr4=GIvp> z$=~H}PBZZ=t!vjVGa{*|CB_|HoVIvp`o0UK(1aHdS9el%no98DJ89K~tBA7EO3;fZl=(^w^4>f~{*wzv)2`Vqm zX?urA3lQw_M(E+YZRee=(+X$t*@;^gw>&mV_``?H2&YUoDK0T_*r_AJ%H+S}4D~D8 zHJqDPi1jmNpdRN#nUI^v4c`($A^?FL7gE%VRKf5M;WFz?)uZnw325klFG)CqhGO0| z3zmlvM0IibCk$JSPL~rL{zp$XJXVOGR|QA5E1)O!>7N?trl+xF%OLTOyKwja^>u`h z6Lm>!bRgQQRk?7V5(D|7MseiI4{jWN;f-BJK~uZX7*-fa|-#xr`Ndk(X!jpQG5w!3yf10m1F(|Zad|M$5$%2Rp9S(U5n;ir9 zWc#0H*9$F>!K&KW^shg$)kOFO-yT1}7ai@E06hA|r5x2ibu0;O1nwBrO)Ee&K)>zB zcG3d6E2j%6WxtDHuP=+Qov1c6Vi^zD3Wle!P2wvv>Oy!lpR5fEsajo2T- zo@d!j1W4JyjQz(%jor`kD-a9=ufhJWE5*$KGgL*Z=?1y02P;J`84-L&(sH+L;pnN< zQh~m=^JBHf36-Tl&}ePkR^JF+fI5b_$8}B-clqYe%cb9|=$BI%5&!`yG!@9j#TY6A2H!%(62cu2KV=WxiapQ=l$%rZiDs z=pa9enBmghC3_x`it4Cu=|6As=vpuQn7Kdmm|<7uQ|B)KChLtadZ@Y90t^Z!N_6T& z$YGxvZ^T4iOWk?X_0c+&l0BBBFCn0aWUaEp6W3arC6Bh*4j!lfR#d!x{pE7sjcM8p zhuSHvyhxrnso}(7efFuwINn^H02|z1Wf4>~L0P~WS>>T6B+tfkXC*Wr?M6d>|9(9K?vQ8tsWsQYfN#DwM{R4 zNmHbs?X~JEWiltqlS#Dy{?jy|M*8vt9Rc=I;^f)pToeT+R0jI^^YR#>*i=@R8jAdZ ze%msG|NFbs+3jZ{9AKvWO?T$Olp+%Zh_*l@i0R23#X#q_+!Slo>HK$DHnPu~x7t46 zoZI(mFM5zp8viq1KN(-P`lYZJ%Z!nzOdm(8zTN6SdHaXt$5*7qRf|d=V)yV2+?JVN z@#SqBprS8v6C=--N8QW&s-yW0AsDwPjSkUi^H}7t($Mna%JlVCpvEI-u5!zY-5t%- z`wi|}3-t9hlp7WEyX>zK=v6;Jwm@&J2EXI4@+Q1ik2?Dvv?$utUDm&KAjn%{O*-x$ zOIJPPPvs}%Te>49jQkFelw!25bA#L09?v6-}L{bf@gmd zgx%O#`lF3)Cr6{d3KOUJ^|{keKW&1sbVWF-4#6ANN@jYg+G_2Gsd)!xrvHF$AZ>LQ zR|xi`*Qafh!=sVxdAQmwX&@9MQ_x$|32Qtnv_~VyT?s+zlvcWU`DDLfAm*zKq%)Kk z^)3c|d`P`Y^o%h9nY0{;wh&|0FqUXir)^liIXkyY$>ZQX_&KTCfTaYA z>H9!!REx*}^a>BN{ZEn8|4zzUfAa}FPk=egf3-pUBCz`DM!W*KOGkHxO#$i6S_;=I z|BcFMUwXUq_CN_EmBPZRhAX(McMH7`TaBF#n6{48`mxc4i@7oA2djIuPV%1jYt1J* z0|~K`ZF8Z9&SB zIO1KW_Lm@Ho?g)KLTqw#`L3_+SlMAMpF^8B?brc!L(yZqf25 z#0rZqvpkIpYyMc}H5irKZ0LQ_m}zPLpP`f}g!rkYAhT$OYAJs(xpY8SYp>ejYXRZN zD0&%KTAS9^`nInsg;Ga3?esli=Qc#Z#XLX+5kHtfJM{06=f$_5J^q{~aEROW!pMnV zzRJRh;@%Y4LVS|vTvIh@YRWI&p4|M8IE3v7jP_kATgonh7}olMv~0?;{p7dJY4<=# z>&7`~wk$nuCw&6B!3g&Jkp;R?2Ggm(y^pDy^sisaHJ2Tyq4Bq4C+tRb$p%qU-`WLg z(jmSlwlvh>js3VQEYpw5VAmtjHhoIPL|Sl4vd#0BjC~@We0&LVcgtE!+{Q{cs`|5l zgmA3z6x(@&@jCXLx^Y_f7{q*no<3pkg~jJojNX5ZZoX*`L)psbwN+XqUQpN@`%4A_ zCAwuKr}KLBcp7v9UZ0k`v`D%MCqk)DDVvHU0c%7Q4#ZQmC(2lOKf^*=j6!n~nqWNJ zUvZEFCWSPv5xyU8a-TIn$#@%%4X%pr8_Tl%2llxCBaTtR;C@^%tK#!`)d*`x7h4OT zwCRv_tq-0xd@5nqNv(VTH2p!EsCMw@wt?UD4EFE?*WF=}+APjBbj1kZH#)+0!=->d zZ6;y1H;;E-b46A~zn+u4fW(QG;m#H8l4m|E{X@c#c;2DULQc|;IXuURGXD(Fv>Re< zcQ^T~8)O;6;?1$@2|IlBn^BGp4&Iz*SYyDFmP

    TvF4kvZ9wTB|7IKd=J0oLu(6sC~-|Kl%-CcfoDTnp`otmCdbw}OS_?FTTisA8G zY2752E2iyA*Pl*&X!q}%)W~bN=$he2v8=8T=3e2p>%G8v+v-3ieBb1*t6tGXOuM5> zE~&W2@=d-BL-iKLxv`iVEU?F_z6tIPOQfYu!yP5iUHD9KM~n0;>fV{zVi#oUe7f1> z*4D8!ll@7%Cb2hN&37+9?N)wxjoV}QptZgi*B8eqpV-ogu9=4Zieh4JJe#}B;4pW8FF+#C-2rpWyPDLO1V}x{&W2&;e^Xt!BRqY2;WC@>lb5;=zOhG_yt1u) zkI+p!Xrv_TZ~cmP=r+I54DR_MSN4PRj~c^h#@x3Cw-DlI*m__w)A2;|*nq_8N5XFN zp&_^BCZ=xcFU~)}`m2oyyg8}o*ws*wdBUk)I+Yveaa#T&E!WC8y1kb;cyJrR=FzC) zC&T8<*!{7+jspYdo%3#{*939sJ-`1nNrJzy_!5Q1_F9gerNxlCbKIois^Z<{QnyOO zYkFVq>S*2f82)0;C%+Pv3l$JM4&H&5iwjqx=tN$E{(%rE`KxVXon#Zix6 z(&X*to0h&B)@5b4?_SOHw8>hna&AtYkU7+Kip$^UZLlgYd%I8S)^XiwpLZ)WT0PQ`2Q^lf3^Fz!#@yELoJQo8+{yDCdYz7PF| zcWh_ymJT~-R(uJv2@bngS`4t|gMB;083l85uQr^HkMAAXoH8!Qnsm=Ody}>fZ!KNp zm(jF(P0`ee9oJVYZylW5;2y7NI^@f5@l>ma%giYXb9J{iZnNjiJvv#lDTV2jFoluP z1$X_x7YP@3`aYMZoYWEGELgxU=L8?sZhInleGlcPe(e1VlG_z}dgf3rS@qkua?rMR z^_ZH`1`z#xW)#aM$QR^BS67zifFC(Ae|`3~b<|^CBU*~7C7t3Xv0I6#fw#*?A7P|-hBTjjvvbtk z>l?|s_fjG4h_|90?n5k0a#4m)9HF8Wp=vUe^FCPR;L;#^g?=a@cgTO5lr|o5DA!c9 zP8ZqMZd@}j-NqrVDCVxtldZa2U$~DdpVK|QplBE!n|@*2^rJqD39|lzV~91=%;6qKMbeHecZ%5@ z&*mG63=2CC#9WpuTVYEu^w_#5;qK(+YMJ+pD841i6=qdE_tAkPg;g>PyV_7Up2MDU zMrZD`b>ED;LMAWD?)BQQe*T!!NwtG9Ztf24C3e!uS!I$4&!HpB&g@&w$2%X@4{_Ii zD^lyV;`V-}yY28d7AuWnkvGa)y-XJ7<@q~riC*^BBW=_PZY39llI+#4hzOA;JQxfM z<8bLrvGHy7Ue#*3&t^>-1`v0xd@XoIY$vpFM=x!7>}{-dN~0qCo$(?DcimCd`< zZ%;c3HMaO;Tj#L$e1{*7#8g~Pknr`$e_#mLb&WW6nnT+w&Q6B!8XcoVnWlK>V=cs& zLA#?a*PM-Ms*@sIsyk`!T$4E`EzhYI@oE&qkY{`D`h%*NEh$Yt(p-sZxYf$Xvr^Yj^1FX(4NiQC7CZ7;0~s`NvoOBW z5+^7&F6bjOm>>v04X^PZyU-k}5RB)z(@mlMtWU~9Y`m|DjeFT+Gkv6cvEV(+tbH)Q zpYLtB{0LGrNR;cnQIw`$?E4^t&O4fpa64ApB$wgaVZ1_($-;VSrf)Q(YYf>Cej?5f zNH(c$Qkm|x-HTrxv0{Udla-&#UJbX8P`&+D#A#9+L-rA1=qJIX_(x2eE#=5`7IwSk z=Lfgwk(RU?xA$o6Gt(4k_vPsQAkl%8n-hIK(dM1xxH`*ook`eb*lActilee7V8fYC zm(Bw@9AAA*9WPmxU5;lydX-c0NNMop9pQHq2bHi7B(Af^<6WwaZ1iQKo0kr8FW&!r zZlRNZzuNT8)Ag;_`5ARXAMJnt93NZf^8NurX$gVnh1luF#9V+TnFNDp8l2FF<40kx;d~j}jdD#MO8o?VgC(sVTwnWv@aF z`wdCyg78k+7DYQaPJufwdU;Sc-N$V3rV-z_o%#yOiNkJ#9`HhEtCs{N-$R=PhIch& z<3A`qjN?O8zdlVPIm9KtOX#wi@{B+bliJu_gw`8DzlykutO)ecv!tQTTdopL9(bw& z+h%#%2qrD_bQes!Fl%aWaKh-VZx?kxF=ixRV!^_I>G``)&9^<1-oO z6KYrmKc|Vs*c%p~wplFxBwQUIsGYh!KTalS<5`l-?UOH3A|!DvdsWI^545~$EJbHb-gR3H`=D>; zEPq?MfAvX68RMO&Ex|kQHak+t53V<=n%q#lj}GdOHnMH7FRGIkl>8uu(tc0lSZ9{a z%kWq&omC<;IOJ9hDbD%M;3fpNY@3&WSkvy!pDw@UlsqcBTR|d!nl4LCRBiYrd-(pb zXq7HAztc+WM}(9ccOgE#5T|Q?>Yi%B(Yf=BA%5G z#~ei>%``0qp_L9kH}$_Asf81VUwx-~IH%XX?lZ-rb<u|oLs{fP1Tjrl zsgteG>dXdnp}>9RD^&&r8I?;E**9@kgDA8%ti;5vQq=CYeMafK*8^T|+?Z=#{h4Pn z?(D|XoVM24YqQi!8)W;f&>7Q3dFoO&Se_WgO47kt(`eN`Hg_(lcPygSz3@e#SJqkB z|2+J*1jV$rYW9XmpewR$?&080zn+*e3zjFQthQAaP7}(^m%5`BqUp<>_P_Eqde~6a zpJ$S7-twWprvFW{rKz{4!;$d`N5iwzR_Y8}k*h>pDolbn?k9q0GTF<0NHQOGy!N0- z$QSd&ZKH>e?EF0PjwO!GS0ntKtOUwTX) z7|s=DAo}NyC#XXUh zlYA)72K*+m7}-wJ2JO+_hO$=|`SJ|ttO_5Wto6L|S!96bEYjC zK3cPq=?8SR*$%4155M5zk_o`T!7rLeX;kE2WRdwAK_kdGfBe<5%ttNF2MYdePmRCK zzyvM*;U|iEL`3-(?e_(`YvUPp6f9Ra?n>!C$IDk61oowW83m9i6Y+md)-4viF^G@91>&BUc9>g7I`K^6{ne<=Ddd=CQDHY;e1t&FM zyYHnDak0iVJ>4Ky=qhfG+hyn!*y=K-oPOOL|KKRcJ-GoB@lmqCV23vM7;g0oNw>dxO-uFLKB=zl zo^=AVx4L@Bk(<<-xnAIkns6t(VS-D$d44k_8EOTnnW(E$?^l*`i`I8ONU%UZ6#Wa?zv)L z{H|O|y?&qPvi`Mbd_whDmEb_Som+?XY8LvMMul>~Ve9jUi7oGma~_DB>fF9zG|q42 zRc3EE$tzbHbReA*i`c}=fQw%!(D zYwIY;eQ`r%E+m##Eh4E)$0>aG9%)-LL3WN;^`!4+_WnHjVJeL(kL{S8d; z9b8@O4=Gp|pzT*3r~v5bXlcHESzTROSzZ0|^&1T>9UX*f9TBAVJAdFJ(8Cjm(`We%b%#S3@(48p`!;{S=ZsLL7@Tx z_JLz`z%JwrU;`o(x=cs=ZFTw6($ezEH(Jma@&(wYc7a;0IR_AOQQcx?W~8U7EXYVn zPR}dH61!hc&dj};o12}Td$X{(xHvyIGet!@F**5qYI^p~!n>taT6!i{4ldq}e0+Qx zdAK<_fOaTOP>`rx0=mDhe1;rY{R)u{D53$*(aBE^b~v{!N?s zH}Y_@GHsxz`TF_8n~DC`dZn!l%XIvb29EwwiK)r)(P1w_A`-I8u>^7pxf$Qs*hFgY z>Khn(Il4~Z@)z0-EF3(1n>KCYZ{04med{J}whc7PZ)Zlk2^GnH7V#(PdOnC4`=*qm zF;#`B(c$qG<9y2Z0u%E}N(%FGatq6=v32#h#^$!3m#?O#r>3UgeE34o%+9@$pPzpt zH#_)im@6L_=cWLM({ljD!otGakINvqU%#xZe1UiYVWExz>NsF!W>|eQ(%I6|IXt(z zft{Nd_{73Mv%EObgUfqiE-_!I+iGXtz4UgGRaA0&jcct&%$#!U8;Ki!3EBC%nW@Ri zDXFO`$;s4^;>oRT?VWuilQZ-0SLm48xwtr(Xx>c@^>lVnI=g!ZhK2@vDXk=Od++G< z!ut;&mp*@`g@)_~CXjR-Y|M;+B4#EAnw1ZWGvk9jJul~Jn7Mel+2|Gr8cX8b^fr^6 zHx-`h5|N_sCYwZNBn93SpG))2VYP%a%9(k*h>DGii;V&SjEqlB&&VpMtR)bMr1svS zq27+xj)B+jKCdp#jdb8K)kt(rU43m077N}WE?c{Y#=-DdeE0G5R~jH7Jj~3DbgN4r zKfHhY_VWe~9=7+5DG}+!72X}Yc5I~W%5gunbtr&^^FY|NtVgJkury+sjf;bMsUtr! zD!=6|>vmbaTaR2kd;)@ld_25EQwoZ6GqTEYWHO<-dvbB%RWBff(%RJ6fU8BpOG_$H z^>}OJe`9m0ELPn+4h=2<{oa(ql;NnUDN%Jc6D}aVt#(KwGLHXS(K3w9T^@H;OX?l#V;ZuB_%OF zJ~25ZB{?;_2#%;mH?$AEo_jMh`Ret;@;4fqZ!3$hMi&^E7cvi$q$-#NR-(o%IudSs z9yjq2^pdx_VOWU_ESfTrw-VoDtr3-& zxVAebhI6MDT{}U{$U7O{)IUBpvCJ;8b-UP6tyAhss;7-iu9`ja3GjCF2n>&mO)D%b zN4LG~MMSwhdvr~nt-B!HSzoA8vax3zbt0QaLRn(kazU7x8?x%8cFGyZEw_*S!dyom=16(|{p%PEL^1J)U@bsHHZK zp74l>N=A0}wDrDaU}ELw+sH4pd*_zzd-nK_&v8Izn>Md+fy-2_t1Ozb1j ztr=qJNAElj4RgBV7UCshUd-CO**Gi5UAWt5qg_bAvxnXhu*BrF?80)8XO-AGD9NhI zQyvRfn(~EzQn(e=x$}x&d{TS{Zu0GLT?M9QWUeFb?12+{e0xk6MUR~{@F?mS8k(h{ zdpGxSp?8pZ8^;iSf_b~7;?dJ?sU`Ut8Cf|6)s4tdX~d0vwf?fDjn-wb+YG+%IhZ(i ziVAF%I;E$feDboRZ(O#|V&2|Ur?d=i-1musMMcJ^rzNMPXJlk&Cc@HkVoWwf$~M+a zx%Z1*dFB^aMw(b3czA%9f7lDZ;Ml0g5=7$)jt&jan9Qn{@sD(j zEbJW2%fp@BC9d1MY7(stv`?uxN4@>D^_qu^)fqVhztBh5T~i4?Woeu??#I}VJvLXr z6&B{|1xtzW3(Y7=y#CFDfk&dfEMuk$wtDpR$xBYbke z%qypPxzHb(aKUkqy#&04>E*?FW^D-b-;}*P%`DDuHeZ%f(6E25D`WY>@BULCk4MjZ zLj2D4^D4LSZogIZegmhp>D_yNIaP2(Lvs_UtFN!St*vKtdUo;+!`IkB;h+IFW|jlG zCuC0O?i!g8lG(dum#kaCx&0o_?d?E(u8mCB-906=ao^MZf0Ukx}<9gu5h& zYL+y0)~nF_S>_v^3)KyYTlzA<8@K(1+ue|!-4~6HNE|zN>FO2r{YMS2o!wpZ?BMYd zCU!na4dZ745ot)ut2fIGEKGDXP^H7c%gw^V%}&d?rA7XrZIj@RPYVLVT&z4x@wO4g zr6nbK!F+!6`>$9($$q!xu<{9Qy>t5KPHCJvb?k`pej>vTafyA~#}6#;Y;I3M5al@} zIa>4f9l898+4mak@$!*loY+SyE*S*``b|QTC#C2JadGi~J)@}JXM+L0P^W2%WByZ0aI&225r zLVcmz-QZ@PZqPpn-!$XmJ;=uP7FOx@IH)qNr3_Xy#l%3zB_ObUx7Z;$`6H@Y+8QS` zPN<(eeeTjFeFJ?hRh6R(N4B`ldY;xm(V}?gFW=DsZ$Oa0lIfn6yuZza!XqrMc;eJW zQ!|@qF7BRgE>4de9BgjhxOJ8}DDCo19Tn~KSBzC94s+U;PGt>lb+@EZr;qL5$Vb|C z@g^v87!({F z9O&!e>hko_Q%48;^ZTWD@^XvoTiv^9Y;^Ooj?qclPunWq9Ij>_8<=!1eHqN{9_AB` z!Ih-PdL7NDO<}51aeM!HlAeohVcYpT=69^`**|r9^3>Vc$?2(+o9lCDcTaD>z@R{X zPiM!wW@gte>Yv=wiOFi)Kv;T_lu%B>W+EAnTDp4q0VJW}5m7Oqf{2O;4e;^x^6+@> zaW%89tKb%$kzx%g$2WO%dRIJ5VJ z_XGS6xnpX_^{(G{_ww@f@$nDv4-5(j2nq@e3JQ7=78V{64NQaw`?x-Ku(vfgH8ngT zFFN8A)x*HIWvhtL=3`DFkx@}mF>&#UNzhX_DJecCBJ@RYpudk-fcr5fMqO)hqr_7L0#on6%S>Q9l7&L77tzA{el96 zL&72=qhsS>3E+XA1YY7`iHV76S(zE>$?=gvemWM9)8k!d#y199I z2PI^tr=_K&Wn^SzW@UnZX~~IkG0_oWAprrwj};DR*;<)iI3X#idgjb2oueuS(n1Ql z-l>63p7$+XBNM|SbJ8Br93mHP3aqEke}Q;2G%fxhC?qU0Iwm$DIV~eIGb1}UCnp#D z&&dXFc?E^}`Jk*!0d;twua~>)(+5tjZh>B!3YKm`DWFMqT4qsEeqlj=enCM&ejezU zk(QF20E>%>2zlZ6`1UbPdcOBvlj@6z1lY!?ROTaw|%614qIN3oeGP~EeiL1uDegt*y>?qMtWXxX?Z0Q zi9%y)YwPOjYHMq2Fjx!{iL94@6c^LO(avFMr_ zTzzdF_|r#dbTtA2{HQ1gnDVkSQDYyib`ZB0#WEdW+t zTvC(^EF{On5)u+qGjq$Tu+3He7rn8~wFDBWiGZ)E#nso<)L=0vL{$~Mth6vUHw!Er z5~8AFVd<46h4JAD>FF>ZC*SDY0(e{Q^YFxUI0n?ewHSybQB z-byCp>hO&?Tzw6;28%`_tIA4?@^i8>b4v^IODd4f7OosQ`|@*;0YvhZAD315*$yaG}X6L+PWx|E=p%tH+bpjXm0@mN_R2|fWkM_ z*VNQtP}Lw+5J(Ib+t5UAZSQO!?yaqZ=N1-|dWdapt*ykSMm(Vrgc~3NsZ?B8R9u0@ zqU-VG{_bXY2@-=w=O-1E*H-(-*H%;_YZ~$G!B@a$@G8>PLa zv!|!GySJyio6^7L=vgJqob$2t+TVI zv#YLv*x%8PZ-B@o;G3En8yo6sv8ZZ9WfiKfp|*}lrnI)V5kX`q&9zmi+Un#xUL}RO zr8R^GayzA~qo9&$@m&VdwY8qslI)vx3{+o)WN;okaTu+0f^mQofL4p zt*wPbY$g&Ri+Dma3DDNk0Tz)Rtu5_cFT3mOo4bgmh(>$^z6F>iHi6`8#DV0)HIUjG z&<)K*bPbNsh^cF?sVGI@&`H)V1yyhi0q_r$08?!Z#13Gll}rTdspi(!mfp6SmcjnP z{=WY1-rgPv7ND!I9|G3}I#3(8wGhGLzZpvRre^9tB2d>xB({;T^|-WznkH;jbt52? zOs0;AW&(jsYU`t5;7C+UYZJCGBd@%oxS+78tOS;d?`Uah!nZ(rJ31(Bc(AcRB9RCf z1g?oltVVbBw|5Q>4G#?P_ zpmwx_B&5_8lpv6Z%8baQm_$-fOB<2Y3eu{z9jJ%K4d9j3fIcYjFtxOhK)iu;0FqiDwn%lA zI0_ll(2Qsr?C&AgVQO0k#)kS{4)yo<4*)m=09aoy7-b+_P*M;GjQ|f2G#a46ppn&; zh$v4bzEV{b78d+Hdhr{!WVq*w(wXO98e0>cPi-g7%Xo+tG@dPo&Vr#2WwRmD( zK~7;#Zb5EV8oUL}bbxh;9Vn;UpxgwAT01*QgqAi+e_wCk!0_;JHw9OS?iw2E9~v5Z zIXFB3LN+`&09c}CHN+7x(+E5L#RWTmI4B_*W9C%24IhQ@lDQJ9vl&R#-pC72KiU|s+Y*4KiuibPaZfIfq zlojRWr>CbTBu2-;0@5i%qqCF!Jwts>O_YX;I#4oU!B!0t0S8rOQC?n7MrtCcm(wcx z!A8Ue`sFw8R%vNIjFIYU(O8hN^$lPofqD!SG}yX2@Pq)wQd0*63)Hg3pgzk<&j34l zkrDnc!kt5$IyIX*G37;hNr?rh8mNG+EG;i9EX>MGg(bv9Mfk^|+Q$~h3H9w{Y;7~C z0U%zhV9KCsG6$>ylHy}yqGMqtz0(VymgdJt<~}ZeoE;|DqQDMjS$Rbz0s-<96whVg zOBI-Gpur19d1X1MM@tLybF(tQIwCnPBHG_S$Rq5=uv32rx&#)PRt|a<78Mp07Zw-i z7i4E-B*CI1!-D)nGn?lp%TlWA0VP$43V0P%*+To_+1bD^SWHYrc<77J(4^YV-jUJ4 zp8kn9^E0nUTdK=TiVA@9`JgV(&j$&anUR%SP*hw}0;>Cp^0JabFlchJK*gS#k`$j1 z8x|52;O-HuyC-M78C4JxoL-urm6M*Dnv|BFo(cAFL0w#KicRsPNE`z`y`Mf1eixP=y6588FBP#)s0>MfQ<)tXpOgZNj*ASB z0!!7%nAn(jSZoYf1o#I91xLf;V#A{|(&7{1qGO^WqoTnkZUk6vhJ}T_0BbvMPj^>m z7iW*CoT9?)w2UHTeN%g9V=?e3J~k3K6d4m86&)2B83~|=hDU<_aq-DuUq2~6E*4w` z%T};@1glUlZ+ClFcXRKODtLKnLQ)jiC=T@Z^Y`@+@(+3u91UY_nAo?c!a?(Xg$9&RqrpF9D7Sliad&i)BlVtP0|_Xk z1p9h>d-(+g`1$(y0`c+o@$n4+%V)4^j0_8T@dEhk@9p8`=>=JGaeHjza{sb#K}kt| zY-kARU};^yMw=IZ7N^mzL|w6(FiWB=66%g4tDw14*a(Ifl2R#vwx!Hd;BYik>8 zt2-8E*G)`Ju3Wxy)%5y}n--RLt?itH;^M-C{e8T>Tpm7hw7PTO$?4&PC(oZdJp;Q7 z&t2U;fO#LVzW4U{Hur4o>>fBeK7M@v{(W1U zdlqJ9rbdQFm#-QdnwT0G-8io7TbSl`_r~4FkF4)lTsJX3e@ z>s`>-)zv?9L|poW)(LfuQ)kWqxaTfhykL0cs>#(WrlyyTfPeaDbhJ;Zsi>%`AJ@=6 zp{}bTBiHhvpv3;AsM&J(*4=>-=-9n4?9Oq1q?Ap6aXxDB5cBU_{hx=MU zZP)?9@$#lwz4p}q^F~+tD}F-(&FlQJzZ_}6K4$#v@~?D+BkUz#{rD#NnlEh zgk_eY@LjKF=ihz)0uGRvSU9-3xOupMXH0-jaE=MiMK|*E@o(NHxNWn*<}I7~c{u^| z;0%uT>(|w#rO%&eSQy&itA`YJaC0%OtbQJ@tICfK@b`Y=aQ}{}g}wDHo6-KR?vBoh znWoIrNj83gjg0dnGha4v3T)v5Pfgm73oBgGSL|)?+_k!S`J%D;Ll6JZq=JenY!i5L zwu9QNzkg(U_VwiK!pzw4%khaqW5nyF-WYf3RrODT;t5YLW)8pfhkdXs0WP9f7$62nu;^OkBZ~MT& zhJSo?Ocn~87n4xl@s1ffE9GL`z`b?bjsvO&77yLM!4&4@9T1+7Sy+z5wRH9OwKsy= z9SI(urTID8c|~w+BeVtti>Wq{5GZ(YeokgaW_~Fg-OzwScP%UqwGdEQq0i3lm@jmc zKOlENXotk19W-U`g8W*#f@D-HK2rCP+L6NC^OB$9&f6FuxYR8y75g-0Gib!Fg_bms z2vs?mMF?!mBKzi@VsgiIP92vQ+r}>>t#`*gEF~XQI2j3%L7q?TZSLN@s4gX~dDX(= z&U628@Zbyf^Yst(0~4&5m#0rqBrG+j42j5#3v@M8-^Vi?s?fcAOiTB$wEiVYHhRXT ziHvLv0ab$To*Y0W27&p@%TfK~BY|UHiN(lb@aI?J`7(E6@`81}MEAr*pY7P8dHq>X zd}dBT89Y1qu}efw1&MaAj;W>11A8-FC8@o9pSy8+PX#_`CK1P$Id|;cD=vRhSLgT< zX=w!&_2Z{5f#W?VPj6TAlLrOf<(g~|j1!aHc{HG+DlImvq5?sAGli>)Pb@|uD~fXy zUIf9)8XGH9Lc>yuOHzCt?3_J3yn54)@+Ho0L*UBkPV@f|Yw{*(lx?xUdeYEXT5zGdcQ`Z)21j+Kp> znRUZNwsz3D?dOiZ4~`vRVB2~`@63hg@p&n+`JHpa;K=tQbbkJNv=f^Z;bEz^snY@N z$$$RBr`hJdS$)g93&R))^86%FVpPt)ek(GF;dH=z$zBGJ{6JPe7lCFXcZQ^HR zSf+#v8Js^oxP1=;@ul!3nAq^HyZJ{y=3oOTf1{dYnEcRZWY5>zqmB zVNW6XO#>9c+fmtBalZa1F{16IQQ{7s#+^FXvGiglG2PtKS|`P3EPG1JuN-Vx{@;VFmoe0SnL89oyKaD}(M`HMxA8ziPXtER!pj9Di>`>r5gG!)+Hy-+OcW zG<9Uz5$c+Uo|n=my=CaV@k&Z^Pj}G$*7*X#0#QZ&2!s9mFNJ<96yo;HIdaEXAoL(z zB;z^17+OI&9mC5Pv=k448DBzM=7% z1*N5hSxM2MLH>Te-kz?H?iy=K?cibO5mwN@{nX9f&DH7I6GvOiYv9=A<~@4{YqRqw zkIKp^s;VD5uyG`Er>^dM)mG=cJlBuOwDN~(-R{XG&WO8U7^RFKx;{4EH+)5v^*MW` z&}BCtS5x^doB|SxGF*ucA@7)9hYumWlalv{&G^bC&u&pTYi94_^4!J4??q%Rs1Kte z!a#u*3MxiFFE^*B&s;ow14F{X!=b9z&)dW0*~9w|pv17earuJ2{&~a8#^+Ra(ZMfe zo%V!XKgAw_#m1iq_>}H~bcch#}rcCy%}ohoKHZ1~6v6mFmZ^z;pmfTd>TL3KXZnodtmP6VeB2}vnw zU>iQa04xsDz;=6RkRMb%IauAidQtC`<_UEbMXB8zSMVY7Im%{;E>iaGH;U;yuLb6j zKl1L^yy@g05ucisTU3E<8UM;DbWlit6=#U1^v-68eE2_ZO1K0rpYr1N9NnS=$YT*1 zq!T}IiAbwz>*}0P*vq@zlyG;?Xw20UCPCGUn`F*A2BuU|-mwZER6Tdi%F)Ty-Tm2< zM-LqxA3l2Oo#0c;MC~j_^ej%|LrL`TemKZqr1x5Dm6W_N-c-uxc zx_6`PI7De-A=o_a7++%K*}hL!Rp+AVEt?0ApF6v_I6FOi?&JhMxVX5wy1BVQ^}7cs z=+^{%2Icm;K#}$G_VIX(Z-@x=Q5Wt1M?)H-%?EehY@96#` z1;5ku_b>gT06JcP&KQ1{KT`iMp06qY-R5As49M?U|E2jacYj<1V9+RKNK}9*D?z*a z0NU@G`1Qr_%Kp6R?*Uqa`ZM0|I)G(>LseB(`8!3>VZ-0U^XE8zkAxpMAdu?~eqtDk z6rcs5QB_%o@I7dM*Vg}}-OsW8f#=5u2n-rvS%dSd1o}%OKk@ySZGYY1J1x|AkQC56 z77b;J3P=J-@N`lSCBp`8-MKM z?|ZVY4)k9e-4F~ls;mQAqgqAf*xKatx6nYeVU&+ir_n#8Tov<&L4%B7l)p2x24@Ws zG}OQi73E_pV44OYK&vQI4`F}c`aOQu+5QtOz-chi0wuq6|M3}$H59Gy#QebXOU%A& z#-IRb707R8v@&(3{FTb@WMlr7mS2?q;x5!5NR+f?>+~aX$JT>~#jbsT zI-tKN^iPYcaW@Whxnla`bi*%|Dew=m!T%W87N3V{hBRh$TD;t4V`SQ z>4n0$rtptZ`~(kV5Y%x^F*E?6+29Z11G_)pgGP#qst6hO zq53x|_@~=H4E)2uKMefCz&{N9!@xfb{FgDHuKvFP^zW3se_~I4P5z|C|LLuDIR7h( z{(}rba3KHxTk!lxV(}m3=RbnyA0_`V@DBt3-x&C5I)JuDsPg{{%nty6_rw1h=x==e zyLSJw-Tw^Ox;oJ52l>Bi0opSBF4P9pJ;d+w^XK2~{s$MoWBudXKi&Bmg37UDU=y7B zvbNR!tD9?I{y^z}=JK!XLHqI0M)`L^0bEKb=#|>+_dxz^9rB@ zWd4LtSs4X+Lv;!D^NlqC>)5{|p*H2Km-7P% z7zPjr{0F`Qp}KT*-Cu~EW8e!EK;$tf7pZn2E108@K`5%!pFyDhR04GK=M#ZneWoJ& zX?y;U8bYn84pNP+Ap@Ww-9O733)Ci5r`H$)SHFW?kHa6C`McL4)$5#tWP=a@hpF^X z{efj_Fc#r2DKKK9~0XT1m8dWq7G`lhG%_1QIq@^@PFIzA2pL`5Kwu;r^${`8CEL+JF7wH;(-2%|CMbpXV zUnP#y#cy_Pw(VawZg!h(doymf+icq#ZnoWK+urPY{x9P>uVH3B-#K%psObNf$i;l+ zZ4$jY_oDsO5OxG&u{^3EaZ^h5JmfAIY+Kc-clnP-YJ4WQO>e>22iTw0mmAYIxz@`y zefy-BLMQ8hy%O%cy6B}M}~cjyUH1{UQ`KK~+_Qr2#D zMw|km9FUGFNqd^huANxSY!4#33WITb*~Q8GN!pOriNiWcU($ZM)B~_zxbNK4?R_IOv_PlskbaJ20bLvD%Bf5{4}ac9BFbFDpXK;s zOeKL=jxDe?B;4(~`3qu8mmmpmj*M;B%Mq_wg`WqJnqJIx_j`Is2A7^$9_Sx4PvSB= zVanz{uFbPxeTqR=!1Ez9Fdd($MQh>%aS1Y=r+=YR@UHB1VUtbL*cykHjMKTa6|`h@ zARN&a@2Z-zZ|n^!6vUbupz4HOUZ6%53hBNQJ<(!8L9D@~40t|G4BPfyai8in7#1dn zi&}`^OxBfjB}s$gr&&-!jeD6=Nbif3QT@6V#Eog^coAJw4QjyI7;b4;t_Y(z5boe%%h=z^cwpo;H{2^cK4wfm!dTq95GulF3nc84=mO z1G=s%oXUbo(WaVt7fPe1_BEzoGvFMkXlw|$t(sPfsgaU8(j~{|Bu>Xi(Xx#ZcuKX; zEDpEddJ+(SN9cUm3%k=L9`aUnloa!HztBXNQ~FW?KI#A=jcM(v9q`{JfsGRm`gPDi zFlMML1nbkOaO z;oR=BDsAb@=!gd4ISkcpZBGgS>o(D zMKx4pIIceEDGi{RJf(x8Ufj*lT~tnocu2&|I{xlGpRkYD*6UvP+9+vFn3Wo@#puPa zTbNu)f#Dr$`|_kIoJPuq@^zx`XEr!;b76kc9KN|GX%`S(R7r0l&6=ELBgBgb@v=Lk z3uJ4T&#?RG&p3p@l*}9q@DF5hg6|S?sCayzP7+k@6>DRw;`(w7g{G<9MW`h@-D2lL z&4;rYYQ1%1?+N%1>$xC3u?GD6B z0ks#DPGUH?5v|-9o+$xDL2vz0N}-)N~!p zqBbWXP)y&^^?RMHjFHj2V=jZGPX2w|XcnHb2(R*E(FV>0tjF?lygvcvrCQImp3^gTzKINWbV-iCsy-(*ePN7qS|C>eM zt{t(TYP3DhiRi=h+7@-sHaYN%evH!VxcjzUz%RR&kG1S4v3e`egIh=ri2yOXyF%$G zuG&6aflB;XI7{5uw3W#WakkI8Ukh%9RTps=+W84bVW zbA6eWy7Y{=PpM=!msY~Za>nbx=C=SEYAy}B$EUo-^3OQ+{Q8~s+&*b&@n}c#hu2KF zqy~q-vhf{sB<`Xe73rp3Ll<=-XwP^|c{9ePzXyD?Ulmt!ZKwv%qo94P_$d>%bqV_; z(i4!PlNXp|%Oc@iW;27;9=(alg@(Xy??D)%1;UG=Q+vokIynq#eEw&T<<-dFRWOTJ zjp3yN)djWYl@XVWz73Y~Nbs}CL)%5U0ObZv-E44`N6QI+1&CW}fz%*66*T~KN_6Dg zC489fABt~bsdtrLI<-r6-{b){-w$Gg``SK^JP2)%h&`w8>~mIjR3u7p(szvJ*Pvwf z^$4(0)h@{5=1#siWj$Ft)t&MEeBK0Ui)W&rDAUqAAYn#}xLSeaSw4{R%l(Z3W3EO} zRjb8RJX1IRa(e^C>V$!BGn6rEEzj_uEn!Mn^8yfm?^1!2Aun8 zoApZN;5xdl8JwOVRmvA772UB~ZcP0yxPfKJu>CHQG7U14P58LbIiQu@UaT3EOO z&D>s!ymRp~jD_?tzn(Eo=KG{^*FCHKx;v`+SjGTG| zo>>t9O<&eEKYajR7b-FK|GOlkL$TA!$ffClnc%?aw6xg9hi7^0#52j+R||{m>i{%x ztBP&XiIF`dS*ZuSqHGb>AQZQXqlo^wh?IY^EEaI!5=O?%*%vQ= zhn79oPRxHFzwmX)jg}H2y?toZcegV!%^MC9@R*FJTsCD&)T3S8WIqW5138Us?LU~b z*yR^jAVH!+$%IV4BxRGip`$yUUtR&qx)b@0qI97i>J`=8a3O95@|!}%^L;cIds|rvD9LHUV-H&DvAacYET7mwrL8~ zWK|UQ`EWUG#}M6A1(NhS7ITq9Tx{(}PgEqeD%TCT7j&n#rrJ$t z>C$s|T-YOlsdAabBMk=RiyM@Agaa8b=aU61fa2pud)>5UFKPKEI(Rd^6h-)cG2$=| zBu9!itudbu+U$wg_8?`y8IGjG-PW8U!F0rJhtk4#mfj_CBFB$ znu7IxO`>K=z_owsz>uoS^#YLZb{zjlD{SX6iG& zN}tp|44kpbUGzC;O^)0|d2URfDjOyyq6FO)2gujkY#VR>UHcLVsl z&ExFiFBy+)5)H{xXts6FJHz;TIzhL%7^uC1?%oS+WDm;^l8MJexLF8Yrf}HX;t2k0 zr!mYT1Dr88$&oDj)2B~lI8B0OH7i<4Wn4!g8knvHwXH1i$gC({e+!0!tKGv~r;(fP z)>KKo*Q1v*YPR+Qff|Yvltp%^`AhIppoO{C{j*(oIxMEGa$-S*DMOqR6VX zGz*VCQ4c%np`0~7BrdMYI63l$C4H|7^-3_PD`{|!6V<=lE~+$qRotb!8rQlUmky_g zI=)M@eCp1zKfIr^zlAMwzL9G33BDgedFDbYu{3@drX{?4pJD~l2ppziqF?wkZup&1 z_a*T`ys4F{M-9snp6h?)jlw#&X|`_{U59qQBF$1OrapCSc$6fUWYSEj-n8-1Nr*TY zCMz5^`w{tp>7ajdWp}m%<*4b$88K0s;PNyBUr82;sWHQP#h5Zw7);kPfS#1JwRaLe zFIb)AkO*Mo2aa!A>GiQB;sG(GnTb!$js~K$Sv9#`d%T-RW#qmm zDqYJM8L2Tgkr6py49D-e8sOObMF3N3mL4(v6>w2=NJW~8eNtg#m@$ZODwaWPcNZPS zGqSoeh!7gtMi%L6qUg!Kl~DuCcE)3)#29NA{fxL*<1S7S#Mv$v{oe19oCfNLsJj)<)?LO3YhJMVO+9Y@S(L(WPSAWIJxw$Gwz8Jv>^MUy zv1`psBqs$IXrdG5AS$o_chnz6MxAX-$_ zfOLav_rVx(sewtj=`Lvu*P@zG>V^K>XfQuBwomL+d}BDGe9Y}HAR%OP>bc7=Ku9ER zVozT+zXw1;{n)U`X1fbLA){l{1{intfJ=ux33Ld##vT-ZA`{bhA-v8d92V?RcIQ;1 z?0_}q!L;&6!P@7E)7E;?X2$U*^Db|`-07Jgc_#t^eGaF}IGsnQAByXy$xY`Y-1_fe zEmL8?FL$4P@|L@@LWvMVudAii?`Ajs4=8CL%mVAzZu78BQ41SwZ9TWg zwanDn@&(%=!WJQ0aVk#22tb2Q^#u%>=Vh^(nH0*s_Qjo>)mlc05X=Wx*Q!-LEId5S zIAW{&juni0_PT~xvjqol_19Ir#4d2%lzQcQ=_N4aW}B|^aW3OCE&U78cEf~^Nit~h zw@7lYoT2a1Okt#^(++F|i>0}RlEnt2H}C@QM!9=_TZnHgubwBAY2aMCJ!~@(bgVJv zCdn2xzV>k7xQV{wbSDM)LR8L(Q7KW~^ZP&1GrrN1$VUnSo@@B0^vg$K0V59gaZ6U0P?K z=$-~SI`jTm8H#k}Fe2Wmz_lfA0g$fFZz>gZ+SQN!I0roX;#`|^qEI8&T!SI^at|wU zN`85(X9}8X8+hN|=d!)a3D#$4z$l<^q*RbvxXZeLo1$+$b%$&y&u8+_DAxA@(C;hW0pNWqUE;_ha#We(%qLp2z44YYz)*-jO2f1X$bYctW%F@M**!Rccu&Vq7NpvI+ zzA+uxr$Yg+^-qL!T@gCGbg#q-5~OOk5?I3xrK4hdxM}$wLe84`Lw!+s>ybjY;qFz3 zF|zZuHtBjMHD~mf)Vk$_d4K%)*~fWSpO4BrV{0MPL!Vfwqt9Z#SKDXgy8RS+A7=8n zVF`vF($xXsAdIZeU=~31V@=leJ~@*>@2Dd2X0~iB0+!d9aN<0RP=ZtkjbETBz!6vK z2n`OtI%QyD7q+*%&O~a*F@TjbJItstLj(3cU4E3eKCAVpl)90=CMwf}8{0QRiNK#; zAVNR5K=CSdH!%_{EJ}#nV;mL)d0YT!@!@=NT7SP`DWafk;*nS}UMD``VMWzC!2jTZ zHCY^V4Y%z~&x$+s1|aPC+O3Ln*12jZY5W~fqgGQ2wfJs7kRHNXB zi>;=^53n@PAY#}9*IoajKnn^=oG~#p)}Tk<crH#fr(hbGVc)zHTBrTAC09>%jr`g7fhVv=FX3AVk3u}S~0TusMyhIQbcFrcrHVchpk%q6*{uDY@iGB z1HntXNIZUt5EsOC3?z%%ENhZRz`~LCj!-hgoNQ4sjyMpFJ!v1BPvgXdF4Z=(SEdA~ z;1|4Nh3iajW93fL+IG*=rd4D87VUsj>MK1;GOvd1=$GE@UU6WiZJ*|9S9D|mo?~e< zIf&Tk0SXuJpmm&hujQqLC4p2ZE$=llUVXPDe7Xoie}G0{hqY>X0(U$uyRl9~kjE+; z+cLfB3{Xh|ab*r##YTDFn(kkiFi(pn4zw=~@Obm;=4xoJvIJ@`iencOtk3R^1 z^$CCY5g+S#7S{C%-ZeA``)lPSMzeaOju16uYs{EpI6D}D8jkyT!{el0oU)xx z#ppLlUuCxBc+zRi^ZX^$p-27qMo$8{no{&5Y{Yq{mCC>i%?V-WA)YdjVnlJ4^fMwI z-aDKy%28W)tD}^%Md!gjg54JpEm!Sz8M-)4ux89eZ*$$ETT_}DB{=gE2?eAg$+s7+IZ<(+zAriD}{9L%j+&;qNf@Cf|2S^w6aFm2MXV@%6+ zG*p>*mR!5(K%*~sEk-J;8Y4CDTx&k6ktjJGy)}SDIB=1RFcs1kE2niTi|<-vln5@| z9jqx7Zm++0V7QZH&`d^nT5{Lq9Dq%^z7n7lS~qD`(qqE3qMxgd6wb!{ywQ$+8gTHW zI`^9073{x^g^GLmCFS|7m||-yW!rEShze!+220l%?CI!L&J$x_0Yd*IwyAZ4IUm`O z8;^8=cpcj{tSPSW;C@r0tB=dB)*!=tS{XhhmVcvU>DqKg+$={eEDa0B!wQHza=uY8 zF?c%^PBBoqECNv^U+QyZs z#LdR0jO<;>dVi45FsfDfLWCLh1gwdGx%|}@G9p9@4+V{_jm9`m67oFf@_P4&@956_ zTtyh%Qy&4jA6e1r7Wc5Ydk*Dz9DH_|CEk$|Nng(xl7N3(C(@1D`9~}C1rygN-Xj@9 z2R;uuW}=^Gk95)Sb4M|xJfgQf2w$7aQOQ|01bUw6Xd>|ND&uI0u*YVZl!u0a@ECV+ zgr=wBnk=L7NUsSL5O*ncO`7i1eg;`xHKJ}vT#X-ZW&05y-^p?1ws4Vd3D|PCZ-=Wp5!u9R_t)*un<$aV{M zytLD#u&Uw*h{^ z0dv>jw~7_+cMrA4Mn)2SIwMgVZDWd?YFM$U14Ppk& z9cFjsEDo^<)nIxXoz_PR&yx(Xr4G20+z+lv z;NU=7oixgWWx0CBiy^8_Q^4 zeDHh^jOQ*|@&1K<12KV{mnK`7NM3*`FQ6ugc z?i9b>ako+KZJ6X`B+P3m>WQ$36Swli9@VYD^xjh*^=K$f$ z=iav`;ib!^xSCs-g57FN$f)Py=-xq>z{;@}5mK_F@obE+u1Ii-J!V$9LV9L68{#;; z2wM+xhNxnEuK3N_f4uub6*Tz#=^icQhL(q`ZQ(6OJ^MXX%?}&OeYT3uMtctsj9zt+ z^iyB;pdM!vZSv%Fkmnv^?!EY&&&UuEP!3+hR=3v>IdtYdky2;U+)1mtywkEHC^!vP z+9ib4PP1M)s7r5aEB)j3RT4x$ft` zcoFX35O$9wo0Ot#RZMO`DbZst!puT(7^h)mcph7_9H9?_8nL7^nV%_hjS!-6aE;kk zdZIZkXu!ad%9vzYjt7tXS#R{^YOWyb6KM|J6+H+Yy@T&p^;*r>oESAq?rbtmd>e>t z?oHS8jj3qhR8MFxl#1?oj>kWtt5TllmhhFeH>#R$*>pI#L+HXHm%^zkwV@wX|l5IMg+Tr@j}{=S|8n zy?Xtzd@76N-RjqOwqAuoSi4A$g{-~K2{%y6(Od^}WFX^^8}AOmj%AtgIj9K z$@}`PTZBNsfDQk9o7NR`GrqBg{0NcAX|nU{?2+S6qhXF95>&XEJ7?)DV?b^GV;0gK z7@Yf^_C8*X__h2!#8`g9plcgwzQ^1ha>m2!V``(?u$vW7@Yabl|Dff|qw)?dNmQl1 z_X&BMlWd(){1ntGJ@rNm`SL$^^%7IoAhAb_t3tT~b%CxwZemLm6!MAhJ5%am?m(X( zU}@-iATu$~Lodng;L$+t#9xGLSR zQ(TU33q?xwg=NX79wn0;MV^@T-OUkJ25{<0>Aqc^B}RXFS=d2eu#!|Z8sR43eW6P? ze9?N$#L!_3OFU#d(DtdD9xit@T&0)Cb;yWPX^ad6~UIWe^`k z>mQG}3ob1`O+|XC4Lwxq4H7d@nczH9Pc&;cSEP zwi#*f#pP@dG1&w>dY48A2VU%PbV6~@V^S&oJ#$JQkwg!35$7==`$t=bLyDl7xjt&8 z*zswti_{n7M6ju8&bQ(4G?>XfX7~YX8}TJ3wrI4VtOd6ZS80#E?6B1*-2n43z!Q6l znDdVPPWAJAW!Q*%dIW7A5_c9OYu`FIYz+&o?EBb&$yHKE@S511e~B7WH1 z+);81Z8_uXY)*5ilr)>JmzRwlzlGQ8cTW%Q$HVm>Gzh0;N({TU_hV0 za;i=5BYenGA`9~97ABydJqx2R`*TWR9i(cit=eJ(Nq91oiW&Q&_k=CMpa1ynC1`p? z(IaJ;1KGR!teZoV=hHHt*&nc3V5FHTg&m~S(=$b{$YF!M>P zik*;v^;XsuezvUJespZU;Q$Zr5$ksp^ax#TA$Uxyv{4V5PJxnNP}K*h3; z4SWokBJJEpy_3`gMIcsxf6jnfW@sfKG&D8PHj)m$zX`4VTVe~-fads-UY+>X>H<#} zF2V#kWi(JFT2Ht&^P~eWjd3fMRS8w_u0=Mhp=~hxZ_cP0eviqpx#l+ZrEf2AwCJ#_M`lu}>NkGm+ixf4zb}-c2 zL)2p}GT&bF+geE?J&bc;xI5ghm%RmJ^E&kP^5K2V|6;$D&U;IF_ZB0>qn zeXCwa-rwfUM#%v(F9IX8)}Vt>mq(Uq&0hG~)uJZ`-uqhAX5+{odNLzNcEe)D(DnC_ zac{-&HGuKw=`qWr4=lp-LJg~`HLGtmY+bafK`t&`N1{_Y#VXM!$11jXWQ1)|K_%|c zi29!Nn3zfq8B}!T>Yxf?_%OYe?NkQzRd;dTh&f$+;01H^E{-^!nn3EwHs1eC16^zF zr4V>mAKszp#yEYm#jg521d0;b>tWmJ9eVN}@?{vBRF1q|x!hOz&;@t0`gdY3PKS2p zPEwoU@2$hNG=o6LEk4>!U^bg79flDxU(NUQvQ5F!G3MG_xXx|^YkR(k$H+ltq%NXi zLItywAKcOK#PGuW{|a5B9~CK=KSm4E!GX>`zdXGR|MdpEOqP)srVHmzkOsx^1Y+Y` zN>SCF9!3Yk4dYoM3YuSomqWYA^>j^_kd^e*8>+$jzQ-C_>?)Bwr$w46Pz z%UYZGq;DL}FZgtvwAux9=9Hsw3SacObn)-)8agl#1ZGPCkp-d@i;_kqrpw9QtjutX zoxSnvmr?8@8t9kqy2c~0$?1j-%YA_$+!vsFO(jup3L9%+_QhUC4<>C=*-JXBS9WUA zGB{BoNjsEO(DL+A%Y$8GXy?zKwi`3Te7F*8Bt|E#Q_7L*#*W1BQ_&BAfcGud#DJWo)gbCez)UaPE{+mefet!Lo!G&W zjv5H_$WfjqbIHXLK*K>G?A+&)vs!SJjr8F3bixoNE;>Pt%)`_pt4#MzlmnG7?2)XE ziT4*H-z^2sNo*-0579NNk6*7VHpiKh(TP z7ne8XafuXlC><=Z_o~GWu5a%9-cnfm@(KgOiFm5Ln#37H5x&+igx=N5H^Rh22`FJ1 znxUgSj?rxK(1cYlX30d_W5E_ud9_Sz@ zF&shhizS5dkuXm5ot!uyz^T`p4>c-FJvYP7Hi0xJrnmFQrpLouUD<2Dqr#i;OMi?I zLh_SNhbVq$S{j>MSJAhs1OR({wyzVgoZ}X5i5R|!87@SY6Q}1jb+4N1R2rDujiM+2 zTs{u=^jjQv%z)AsRN417|3?KmIQn@_h(2Wnf?JlSpPn{FZ24aBE3l4`%_G(aykI&ZdRM z5xGa1{2SYH>S zN6~dcoQApbrS}H~DsW1A5SlznTB4F$I(}&zZw4C?fvNW|K{O4gs579?z&ks(#d06$ zki=D7mdqScsZ=`67$~?5CPkwIp+no7=V3kT%Uyu@dN-hNnyUhxnX=C20Yq`DMVuN; zz~xpr4N>QzXb5#9NLMf5JX@J@pNAcU*relv10<>ky$mOroLn%dm+e;oU=-5|Fo9nd3zd5 z^YXEYDOpGLKgs@v)t(gT6djfNtG=b&#}Rib95MCEs2!5fyZMeQ?NMHq+p90g{b0;&Td1!wm1S-!<^0YPfZY9ta zbS6Pty3tFgDWItc5tztMpz{}b zhC6&oME9J#EE{J6U`FrXKWlS|xgSl#?3sXoa^Vkx;uJLzzK7tKPydo@APc8?M)pz5 z=#qrpOL;(hb~YLtM$r`iyv-~E_Q%k8p06s!e%L)c_#~)w>+L_tinLw=kV|qR18dFD zpMrL{V%`7I>A%8qeAcgge?wev^=jiVg%cmuM1!uvTlW_!Cjb9b&$+FqOK_!m7mm1% z$Y_5$gbnLP(?=NWZj;F1JL!r|ZU67i_V1SkgkL?AAK&BX0vQ;EU;2Lqj$Kf>vlFfn^Ye>!j zVAtCFJ2}t{-|F`X98Gc#WK_f$^pk(T@%GZ3C;g62R zm>(Nw2N4POP>+3>o6>2BJ$XqvdC@%44~x}YyD@wv_{4yz@bzb+NFkKge`$Zb`6_e9GHR8r+g)27$EvYynSi&bv= z8oNX(%RK*$4H9f_>JMj4XL}V}2C&zuh`py=_t|^Tx9Q&e^B4ykjI;gxyiS2nN@uPA zdE^iUfBS?4wgdX%6#gPXE>p(&u8)eeE1mqoOpg3uxq)o}6)d5gSZZ2YbG6!UjCV=b zV(P|tPl5!0wbi?V+apkRVQO}KgN#wZ5>QNb}VL5hRR zgMze94v~A-XX2t7F`6wqPyX5X=hn_ToEBj$&V6X^CKH@$>I)i$j^9ZRh#evrNPbz4qeT z&NA5a+>HpU1*~4eX_5E4a(WKq+N3AXsfK_~YR~6hSq_1^*eM~d3xSMUCLZhNLmBUM zzO{yL)#v9&ZSbFK7hH0K*9DDy?s%pZ^**GZs)zrPK6GT%}qRl#7G{nQw1%dXfz3-|iywazeVo^rwsMp>~Wh;1nt zR7Z8fWrLCWr)C?@jGG+rx3h%hW#})-tDqA!oBhHT?o*`zcH15az>z#p>qPohC$hczB*lVbA{Y34CnuFyeT+vvsdBV@9ZQ>?!<4>v$blRqFw$jj@={eShc z&Azqn4(>nBFy{Fx4Qfss}Ckgef%L;|x*1myL?DkKf!p#z3 z-Kvu3hy)au1e(iNCS~rXef!Cy;`|abw7g9c&AW=}*{M7kMGO7!+z{wOnhopRAM)&f?=(+*A82OCz7Z?C94+yA@Yt!d!K6N>lO z`ym;{U6o|BbU`)U&y?ZK)+#-qqPCCHhdBXZ-oAEWH7I$V_rb-0;1*KEQ!W!EKZMOf z@I5+WhZ|J*={HB)k3()i^?aY`H;={#JJFhNS+>j^BywlTz; zkz0dk>>&h%t3f*}gU+9U2^A&q+sGj)%X#%bk-81bFixEm^?jZKFBg-|bEvhww}pqr z#O>mT5r_4nL?i10+^W_n=tpqMtcb%$PiV5QkKekHXWT8@6m$KzY7}dg3ygtKuzuhF ziBke$S(Q}#yA#G^@LWae0APyb%Mx-Ic_F8t*8RRr3~uiu+D~?bTpd!QSFuILJ_bgS zJv&h%9;tQM|7`ev{P+bYkJ9ziDju%{!uptDk(!0BNawqJJxzU-}E@CQ89 zG8a|GtuL6gJLgw+|K+u9Th38AL>LpeFIHZwEA*THEGZRFt6?cRks9q?=TjlEZb&?+ zs|$Bfb=X}aff#X{f0|Uk=#d%vb6#)*7Q-5 zFT}s0zi0k{fGm<1Hps6BaVSyYeNO6d+N6+iNENry0+!j^XC28~jfkJ7%B0rL z3kK=$g4xc`<|l?Nv6Hl;y+?t$SK9o|*cs|*8U@ezaIdxl9uPYyik-$mD;cPpRo;Zb zL7V(+A41*}gp_n!e?f5M&t`32sfe?Kc_eGI4Jq;SRtDaTQ|b@>EW7QSAsfoj6{`B> zbkUmxm3x0X*s#K&0fq?T!fK-#y{BhUI~+v4*0%cUgB)310Bo~$=tB%tGPEEoBGNm4aQ8R{2w$tG*1|7DHY z1YNf`J~UEutGT5E<+|k@G0D%TZy=~;0)IKQxTb*~p(YZY|AWo3UlE9=U96Snbeb&r z9aLp=AjgxJ`T;;<-%Ce`x*G1B zB|MV4U?WR74&1!l52?1+=`^4)F`}v+g z+3yL969rR+2E6mARPc{~2^~rFQTwC!e+tRLzh1a?GF4-trWn7oHqtxcq{xte^^@g= zq-nqL#wOqs)->w=_i{_bB>KFdS9@r|46LO6!EG;hAr)c^uU41fdPZjIL44r&tD}v7 zk@r_Skl4!R6P=%eL9#ylrl;~~TR3TG)N*x7bD@i5RwsI4=u+PS`!SyZAwjFkn*X1m zclv#f8To!Ac?xi*q44cbQL$uv7Rvzc5XZ6x-IlNT*KZGs4Xg}g2`DuL2HP_b^s9Na zpuZ5VU*(QWfaT`i|6;_iNb#zB1c4-ZgFc_>uWOvDZQujkjZ|0s_`U{aBklJPP@Y-> zM|PzIyLEim{tjdLWz>nd5v^#eBtHD#iIKd3<1pS8Ni1J)`AAHpJGuOj|YbNHkCo~ckS(YA4+oRJm9$8ZeML_7x*Dqm)9zaQ-f+FQdxFvcl;|WxH4A=GLDe#aozwMYv+q zMqL%EgElu@3?sB~EG5!$@Fi^e%X?Rl#)2`8FDyW9m)ep@DwS>><&`6U`X6kAji{;NT+8vX@0k4XFFPPTjupu)jM9D zpXvB7SK6%YkH2nGd4Lr+?@2COS_}nTFYLbeE{wb=vH!gUR&q7Ly*r+g+?&o-_=zq* z?`N~B6uqZ$=6=4&WhA0w6s4OS69HYT1pGp~(ZZb9;wq`l!12h`ZTf>0Qeg%j9UuG; z-gKteCbE}lOrrZu%^4x^9}p z*BpAe*Viek2L8sZP~l@HniJV6Q$3P74+z2+kemG;ZK=Si;DmhegxZqQEeW;8r#VAr zuZ79DvODLAq2pP@*>Tf%b?;r{pCIcql1*?@y3~hGjsO>`p{~F6em>YtdyGw-*#)8C zioDgK$q>5)f8!mj7MM)WS$n9>w>R=hpb?EwG>`(wK$IZhr;DZl4W_J$>tp z=#|b`<#@KKdr-O?YOIF0D_Y$3$$c!A1kO)Ri{j1fsSEO)vOLo?+`+k9Un6G2K?)}upE+uhQZBj(I&<%^s z!YBIy(kJ+FP_UMuA20>Z4f`6 zvx|Kr?6#KoSO`}Aulg?P<2v zXu!HIS)4siX8i>^VkmX-WZt0grW^hgOB@NcNYLNCU^2)q3oP$J;Hl2jtmK?Tux0<> z8e-l?dzW>#&s0^JJa?}}&mHgrg-l3QH^dw4AtM+$GH~j!U9>BJ`CU+8eq_n7CNaI* zduxor5rwON`LJyc6aB}dUctkI89a@B{7y)*mAg}vmj(BSD+`>!(F+!{x)Wb()I9#R zvxO8b>2Z6~OD8xI4mtMgym<_Ok^C6b5d-96V`>Cs-ls7RM-p@`u?_}lb_F`pwH>qF zLEqS~o2_is`U$PMfg@upagjDLD*Wd4*OQ;2Gc7`kqE;YjY_Z=e%ER3M>4Xf-WS8&S z-jJqYXGNw52%Hne`7K9ZaT?0a@vcwh!$o6{QW{+pEd=iT^?TKRQTvZMEac zz{&9l2)M&ppYU57YYtEKS4k|3PYXd+l5NI+3KMWobJU|i5URdN?e<4SnNZ`-ca3Zs z)$xGR_muqNUK|vI^X+|Ti%YSmhaT1oot=$uv&FLF`&$PF{|`Ru=~IX}(Eu9zNNOW> zd-*3zAS4&3+yZ6c4U~OQU%d=ea{fLu{{x)h-`AwSCY4cZ$;0Xpp)M>`BI+p82-n4S!-#P>oy5Hiz8**&~0dgL*|@Vt^})3%C2bPgs-q1`8nu8)fKgYgh|f zC-h%udvDRC*E7QK@_qv)+&ZD8WW!~6`*oeikdf>jglLJodiq|Iq){|8yoso_;*Nc9 z+fbQkX!3cJj%bP#rDz7~_-d&v)Nv!eZ6c zpN;bOQa{EN3LlgG(8hOORd^)kg{Gl!GVIL})e!cZ*0eWzSi>JN@)0vJK?-#@#VAAi zJo#xHox=lm<0>_-vM>OJOklS=xl||MqU3UuCG>-h)C|@8aDoMYR>LZD5G)V34;)lL2 zaETyeL)nP7-NQU;pKwL_`i+uI{*yOeXR3Ni76rxhyZpsrCfaUBs%Hj`Vahi$iT2)S zbv=z5=j<00rnC=Zo2#j%g8zet5dEg0?m}Ti{0M|NRJ%?07$2Cg1w*f%As!U`t0`M*^vG!(K19i7$Gy%%(up~igMky)}Dsp4J!V@f+ z$$w&s+4x5dy@?I8Dk@0+ubuCJiYjUTB`3)uAc}%Y5>$eUpkx6R1Vu$bKtxnfK@=4Q zBmr9<9CmZmw-cjc!si%^la<^RnmRtPx6Y4iu&)Uwc6@n(UZi*de;bLsa30pAYP7Hkm|KCO@i^__FJ_PXky1_EqiO&3e~*R}Is zi%eoAikgX?KU>cpusS9CCim?Q-5Ig7%;CPtyUq*y=Dp5jzIPXuxLHaSb=;Q_B)D)o zNRw@umD82~{S~QO$A?GjsI7x+aqh+Y%k|Q)L>yt3Q;vcUh!S3`${g(tFA(^6t}kNv z!7IMYclPJgX>j#dHoQGDXa)*<|(feW47ZC?R#06E}(@gp;uM$sYKh%r4$7>n+ zzI#P_3151g(L$hNO_HJNI_rj)&{gHEdv5;RM3ncHHP~E=`79RV-saCM zo)6|~m+m!g3k;s+w1OhO_?zadh>H=*07Woxo~T-{r%H4BwMg&G5(H3Fy<1 zW48RF(cwi}dd5#s|Ed#rRmXL)yKf$Qw!DpAIOn^v$fSx8=+#iFZFI8=&!Iz=M`tIZ zrH|j%7rfP3aqMAN@PWCfc|!Z$PVW-8=W|YK-z_2Dzx%!fx5KXf^y?^Aw`P&}iV%sa z(2aJvOD`5roU~MQPUbwmM~Ekx`%$*(ZuQ{M9kjfK=GcQ=M%oBMM(QBW8$%o?d2^Lph2Yqp*Cm9gCbv_!s9-!~VP*^W{wKI%OSMt{+&U?sHPm5`(uX(mq^grYRlIV#dEdey5T8%L6*%=u1xp z+QoEiD7~d%j}2^Xr8M5ph}co**zdSxLHACUE-~7;{f&!Z`7Uju@eDrV6{>h9J@cyX@6;-G7qh!%j@Iz7_HtlY-9Mk*)=J6gc|d%vieb_@o&EB&>vm$Z zgPMcni@u+)&+BV@=BfxV>H5IUQJKShmJ(N-{42yNx$R8426~jD^%Z<7j%Me#gDS@1 zGjp6*HxzA+htmW=o?*snnS{)3L?XVnlRr|Y{9+%n$n z*+Lh0^ttbRTlvLT(GHpY^5zb+r$-HRJ9cnUQOO~eaJw>}BI@ z>4yz34Lvv+cUh<`-Kx+!OP;2f`e~=VxFv2nf>N=qOZl{0A&f-0qr(wO0l4YJl7j;~<_bS?4tV0iKXkO}eOFiTuWbH@pE7gnj|LBC( zIr*IN(u2&6M>m8v9C`|+UYS`L#vIIyC=&_GzH;{soXs|w&5$(*9~--;+hJ%pm{Gz~ zzipYXNc_!-l%=__mJptHlXDy~SXM+jGoNiCT|-^Z^Jj4TD~R<&ugH{Gtj<56B^S;hTOK3?VwEuJsoir%dYduJ;0#az>igD!?c}EdHEU!qy%Qa5Ct@G{^i3F?s0p4gX!$VWZgRZ#^e^+ifvHU}Tx zRG5i6e3EIIm%`xIJ*?J~3l=ypd~>)nC$%E48mRG!x``N%^C@X(=UsBjvghhS?7rQ~ zz~H|}vWkMYr}*V5YVqaW3#AVVn9!_dmtRnF!gSF@H>eKw55z0#G&sIb=G-4cnj{?= z5SV*9Gqw1rlO1BED5ti@owrGNb(68OWrpIi2wH;FJ3ff%6ZqU6XS5trlW@YL9N zRbSejaCkPE^=60YIYhGniSg!VHE-UM>HTzZ6H{VAaqoFe5#9{4=@{wgDtrN#$N%GeYeD0Ru zQeodPXl!{jnS;J0Q)x(HbthW`TXmPT@4XIUSUD}eJA&)D2X%p%IxJ+4PHlmsx$Z-F zO#x+kO<7>_roopkg`|Pr_v?0A8*GjHSIq|}VMj-29^4R?)<5`eefTXAd)dDARrdRb zGZ0_IPcT%X^AnSnD2O?l7VYaPZ22y`T9$F#Kk->jlPYxXyx^7Ab6GBY3YY2+1ZPIY z_vb7zcN~-uh%YNYt?ptceX2sa!*WQ6Zt}RN+G<9s_Or|LM$4364mIe_V(3T>*am%d zT?}P}4}`Rng#G z>0%;#MMA1hmAps|Xh^w#!{=IJwFTi~tW3j_No{I*-)El3yV=W#s0R$t$hGhwrM+S7 zchtjUb)_#T7Z3J)kSJW=Oyl6szWZFv@0DoK9ZB^5cyWH?(jrk(+X{}|?LoxKc=?@} z8L{$YvY>p@t$R;nHLv@8e9h$5qNOex>4aCV zE4*nm8er>LU0I#hilH=6BaokL>h>(E4b{Yjrl^a;v%YbPMrJ3 zm~aDaXyxd+u(-}=OYeE(dCm(XpSx2iJ90IL?)Wk~wc69PbF#F}DnYS{MCUZQg6@d@ zLe)|*R_T)i?7q>{XE)X~PK%dRJ_&Mu?dfQ5AK%QDsm@SiE7b2LfKshsGEc&_;3|9! z4=+@?-&K}VwLo!(AD=6V^N-1{?j0Yi4wtGrs%<3Qr{){@Ql#pHZO#lC9naas4J*pd zjeWs4WnWm&TVYn-Q7KZK)tR1ik%8Xs&i2;U7C^0S9i81heFH-yqvLNNrrR_L5qJwV z05Mb3K+w$W?A#X3&d$tCPrZ8!7y^QTOwY{CFD?NH0KupA&l{UW#3ZC-fO6{5Ex*XHxqBCW*1gIe%>So0LaP7$Vf?u ziJ&ngq~sJ-01FK@6$Lpd31C7*1o{AsTi`$&@t3ugxp!kj*%=wxg%x!z{S&i`%S-dq zljFetZ{9*+fZCANXBU>ins5#$rdDeJ%_BxJwICnF^V z@F=NhcI?EONMNYiFJo9F#x4jXADl3o|Jt}_D)FURhvZl5Q zmXid&a4s>syso8ZaCiuW$oRYY)z4e%Q388YQBeYdep8SUe_mY#-kM)rS%m^&X=(ZW z+6Hh92?;SV36PQ$p1or8monU;KgZnV3x zwjw9a_qA@Co#Cr+^ehegzP&rir<)Lnc4D3@j!}iR%}^)}j!!Rrgd%{Hf|`zrg=Hrb z105|b&~w}Fz!_g4+F1Xvvb4Co`UwIAOhHYvgLa$f=ouIQD2N#7A)=!u{rIl88Q<7B zzCyZ#nT?&5k&0+;s1;L@1-`J3dwK`T_a;9B^Fa|oHcG}b&ajQ+&RFIPj346Z=HG7+ zg8+u21M<-hT6!jyU92q3jEqdX*mtus(U7c8_O;-fdS{5~cCqcGS?fpV#sxaw65h_!nE}@~ju`I?><1nYJ|0s`+OL$U7PEiHA4pWD1?0GXgH#4)eK}HRj(=+ed z#Y{&{MMKB5YZnUx74e7pnW?GC@u9xn{^9Y72@rp8rWQYbfkJv~P5~!VQPVOqG11ci zUjxGdeDpLM{qUUPmX8d3x%bj9*F{@jImtd5%<0nmjQHlO{WnvXBow6tSxNfK5@HJa zsri)*UOKw_ge2q?mlhSHI%YSC))tpHDM2{W?A&+g;ND%p`n1#(U+Boo z>uSN{a1D4uV{7-&o2j|Q_aE0juC9I}CWB@)ITbA<^G;@FCVI-xi>u@e44-R5Jkt6| zcaV-DqHUE~XBrB<_SPAAoa3|%xK!dePWEMDc%Ezr4H*d~)7}F-LQ>aEZ5^H6{ljBp zW0Q&+MyB3PERfPO(@{{d@rxck#L3CU$wK+%!~2Da?gnIWc1C7iaanm;QFdx_YIaE# zp$n|B{o^z9^YhD}Nr30bNI(dJ0H zViLMNTpWyy?E5%qiB{jwb|bS>;sRf*9p24#=8mIpU}$twYI0I$Sq<=WbI(9u@6g-X z+1cgK#6+JytbP9UVV#tkh8)EFQi&?O`FcvB^V@5uK6J?5@Y?Hsm;RF01ua+A*t?C* zFC|$S#e*_S>Ut*TKaVp}T08otHo$s9#Yj)o zkHIw7WqBJZ36PiR4$6xS7{eCm1=a3eKhPMBXHzh+56`VAFRLQ7;;U<#1}4A?KQlKq z@pkd!hsD{kIzMg?5f5aJgzoK4^2Y*pZZDsDL`As1uy+pgRVpHTHan_0ujvwBS&t#S zBco;H6h3`QOkDcxg=_lydUu~ZxqIi8Ut)e`9igRjWQl}^fu8(Lk-NTzw(;Ye{5at= zSc?K;dH0y0$8UtVoE+v7uc)-zO@^|Y1Vu;1re$ZPr)3r*>l^We*6tqglx%Bh#pl^` z=3H1(;$)TaU01a8aLAsweaGbF#rOq< zcmX`HEv?59wL@>fbM5UiDGm8(x{2TySn}AugCpWh#T^;(^~g?gW_kuT z=E>lrM90G>_ABsJyO0Y?p1pMQfrDRgKyZ9^UVa%0g+QT7a|_CHz2xTHsYScF3%Kq$ zdxxY~b&O67AbeCM-5mrkH0}${@!*SvPx9aQO2bbsZ_pkP6WPbGi)$YnBiS08ih;&0 zzeG=M^CVO)zPGobuJ1F+c&gsMr7Xv=@@RU>SGgxASg1+36jT(>s+?B^e~2t8B`a~+ zGep!So`_pam`_aeiJ7s5n{QBbVr+P9dU||JT)3k$c|g~l&hy?$x$xF^pGb(;R~PyV zz3hCn$8M=hPaW7N%nd0euK4>EU2FGz=V z4-=|d7CsNgDiYTQ+>qtP9PF*PCTAh1m%RVl(K9^S$J)-t?y0r?qdPuDS;v!;H`w-2 zuj~+0QP;7szOVPx(b>_})5}SZXB8XDBgw-S)I3K_&(6xk%(|O>C)H|OmZ!(KL$vLB zV%eVAyx3wtn#z~2X{Mf*whm8DyeB7J`#e&za^2I#Aw0$VsaJYxbSA0_R*CO!h?eh- z_0&E@9OaoTh2A56)+8`4IxeTQ994&{t;|hH%g)WqspuaMGh4B1*&MB2+;jNUjoT+k zsYF%JE2`^h?2g?_OrYAFbe`BPBqn}JT>O;S5drSqdpTA;t2Yf$@lp>2M3+t^BN~vR z1?^-O5}N+bjyA9CFH+rW`?x~2Py9h(q{q`|4(@@`p*~?*#aZ4b;PzH$=fgU9;q*$6 z?L6X2tFf(b*Ec_{t*_33WoM$JeSEZah61j}ald{y$3XcEmLHU*a14rCE4c(5-Qu;44Ej>91yp*tCV4$R5Z@%av zCSQ$M$>PzO-K)4a%!f{>YHB@paky>Z5o{$qU`Q`OoakLFVCSDui3965F)2MeI|~~Z z&!K(nJL#x*P?J;BQ`7H6#<@DX_cN0hxEGC$5DH%NbBn3#yzx9`RWM1(#=cwRvVrj< zqx<)?FJD%bSCHFZd%PHT@{*#cz%jn1f;Wq5=ludMVww@u?B?D$t?B3f0yjDRVC>qY zEK{N!Lo0lWipLomdbxRWj8V5DU1j~kQd*aY=y&f0D0q*Goj4&OCod~2DoJe*=*TZLXc@{F`8;7lP0(#N zhWC$VEd{<5ZY#;yq@dk@L_}O(K|w`TS@rTo_3OI&`uYZXSJW@5Dk;cGOP@L-bcBRV zXzwM_j6)X^HMuT4@{TZ7h$R(P(|urR@8IU;?d|36?&@Us+~naMUA-F`=hI5VU=ihR zjyWhTtD<>B*XWV4vB{%{rjH((KYwCwX=`Kk^2tM^yLa?8)l`+Fq{PT`lY`%k-sTvm#<$ya8O`?w}+d(mG!g7ruw>i5|neLeQXE!9@l$fsD9;v zmF+b~sv{@Jc=a>Z$tm{4PTZYb3CZxca*fZ7b>vWER6srrB|=Vrp`_a$_3F7(n&yvRxw*NzI=KZ#0tye0h=`1i0~8w- z5gOp@9oTy32rqh2x^ zbF}j&a!aGE)STP{7vvvVI=Hxdcm;%nM@Gj)$HYYg0f2jKLQ-O4Qc^;ETufw0fFD@1 zURyjfF?#y+nWvAjj$=T0d~#xZba)i#l9ZT`0J;to&8h4#HfhK(6G3;sMz?-aztfzNWe2eHi~tkC1!C=$H1`g zh^Sb=Fg-In2RtlOQ&W;t($dqjvNN-?Gtx8Cl7U!YByTrIJ9|4jN0;FAIQz$bnR!`x z`QXu-os*T7k&%^^m6?&1nUK9iMZD(ii z78V{7pHozvms?bnm!1Yk#)pQx+|qdX)YK~?JRvP33p^V03yWc8W#zEaqJsRK+}xbp zf}*0r!rZ)qobhR&6%}PLSV>87KF}pIJvlZyA~-0>+a62{kNncA zigIjIGqxzJq`IXB-jepv+1o!cv!J95QQuNsg{eXz5cQ39u&mg`g0eCIrluZ)Yrx?! z7%Ucx!PHixp&lrJt_p=jA`um(#ihlCd0Cm6>A;KGMMY&*HT6xnSf@-_76Ma`t*M1q z04?B^Wk3U1adCcDMiPj@@aWWp==j8}*4D0$&Viwcf%3fShLOI!ihL)(gzVz{0B}H$ zzhYQ57T;Z8QIE&eVH(=o8tP%`rM0+bY*kYWp|!cO2~Pn3aJc$Z+>hDgeI%R+68am7188kXnu` zgQM|dZzuZtCTFLH>Z@A1N1KCV%Cqu-QxMo1OjFw+z5vlkXl^ESbT)N1RUiT9CVXpq zM@M@{D`;(OYHY+qxCo7nP0irC0pEZFxN56wt7~eiYHDgQSX@I>OG{TvOGkT8XGc{= zbxVB%8u+@Vy1KfyuDYfg2`?`JUdzrds%yYBw)OV*cD8g3&(8FBbPkSp<-YPP$jQiu z*HmE|8k-y2+HqJQsja!Gv8k&AU*Fu))ZS3l+}F|3(b@*6r5R*Jnp>Kipm*)<&?V>! zU;$iP1WrHT`~%RmH8r<(40cqZupQ0i@ESC#x&d2$XJ;!w z&<z3B0y80#% zDg+!FURzIStgLM7ZfpVRs?P4-?rs2}v$F$av3hzyQVRfT2k3yoAOgF0Tzws;9)qo` z1>uju*5jM-jZLk+#jc6Xbp<(vFjzGnVvWbwV70E@)(BZfYgG zv~{2vizN^U_{O%@mMuTDfat}cOUuB-ho{3kdOACM!Lh!(3#7_=yL$Qnl-@q@4;&mo zUJJ6#R!l)+Fts3V(P*$T)PQq01{}%i@YRX&a9kw}QCnM5*3i@hS*QV1k81$N1WB>( zuGZGp?z+4pL=_UA8kHNHIxs{a0M|4E#?1f_o&a10OpmQ7sl!#}72q)S9qq07Hjrf) z=;<98fYNt;Ab;1tWgh?@>W#+%I2aJFU;BW+329RJr)naNei9wY$NK`czSzQIM z!!-dzf;ozXECl96BM=6H5CJuEOCP+X)RI_#42?-%wv;X?AvT+i?Hz$k^!62uN%W4}!cXIJ9@Rw|BGw zr3rWts9Y_z8hosa6Bcr!W% za;(F{gM;AzK>t7=K-39lTw5!M3=qX2n!%SSp~1RWQ4St7Ri%}2FS6>(sxWm`sLC=# zC3y5yLz5Xqesy&X8jV7iRn*isHsnMnCndyz%t2{0n6e-$AyPI8 zj*jl0p`rfa;o+gK=B_c2qa7Lp=_-)>9RyYy0)B&x1R@DqiGZNG8W2T@vWgN|QGRhj zX+e3;E$8~i8e}C{2N9_9(h?*VM*vGvbv1~wN_aV}u&4rFi%AMfPKk?(N=hxP@9H67 zfO$aNK&xF7FejKSAi%+T)Y;QNI5IjkKGr`p+|>>wgAC)qz%WQfLs0~B#{gyjHX^WS zL5mNV?A0K2%3%dytC5|SmzP`Sd0Ib)&ZaxYuQeZ&`;agS)D=8|<&nw77 zG?k>mD+_Y7v$D$?dOIo+VDX1c1OghY$Y31-Y-?&U^&p$j+dnimy|}nA_oj`|)!z@M z*I<87KLF7UCfN`a+Wp%(gI2%;kH=zbt5ERD^3tNbthBVGl(fYBtoyUn!A*5#m1U)c zIk|=CW<0K;wi;1UUQ%3CSWu9Ym6w^@($hRN(ge@RMG-ptYci1SVCI1p5kLWv28;<7 zgK{_mg>7hRADmtWIUMqhl|D>sZx@ux@9OA+UOGFvd%+X~0oD!0Pb*mK>T#GlbQKy7 zFD)+4&Q3{6iAhL|&CGP!#q3v!s;S7&&(6xLg0gBgXm|ziT|q%!c5Z5VS`2ci@6GHW zrm(EBt-HG<1=EIW1gky1kx&nwFm-5DCD=g}6qX^eU6bo%P%fF0jAXh22cE30&?5`P zKJ)`t=MLy0)=Yq&cX%-8!ThSOLX^QvONugc)00x7qGQ4%<1@{g&llCzR8~}E#AQ}B zLOX;S5b>q30ebfO?i1qes*R? zc7Ac=3K0o8DH+ik5jiFCAozMkLOl*x0Xzr5)}tQ!SKm+%);AD24OkqewiZltB%-_w zXp^0tmXZ(|6&Mlg6=6GmwFZx>C@D-!FT>($0h}7J9#>RAyV1GAsIHAvfA)_RlYlXIsH9#hqs?}gE zM#2#gfwd1^T?=l2#TkL9tgM8UKpfJOQ{y6{{Q@KWV~pQ9^)#Z&ljHMHHDLBtArUAz zv?PFV&dx|qj13D3PsPrSX9SkiZ>?QOB=`@wgPkZ~m6M&GngX2~Vq?o^KY=pBoAK#S z#H6H~^KC$QWkorxtfI0UY^93}^78Tv3X6+N!0xrI0$y2J4z56$78T}!eSdOdOlWX` zzo%dHt)toF4akz1n8K<`SOwVY7L}C1%1fcWcy4NPLR@s9Pefi#Wms4R8V14~qEh`2S2e>jnFE1x6JtY~O zVp73b13G%-0s`j`ka@|?NKXeR8*uLO4+wDa4tefe*Hw!yPS46O$j;2o%mh-hvh(wD z^YgOOcVKoc7Fm#* znvcY_4NZ^Zz%Ls@cSQet#$EMVg8 z*jZb=v~hIz29iBJJiy7*-PzgM$;k=4ID+$>ovp2nwG}w3zkdDN>eVYN=!|D$ z?HCXXa)CjC!9hOmZZ1x4zJY;$AYI`BuEAIrS67g@aC3L}^z!iZ@&u}QfLk73u1<~? zmTq=7DHvp7R&01gXpkQ`@jJV?LJ0;i#?{6Bj`p=H8k#o^9+{gzHGlTR^x?w?hI)F2 z#wL#+n?AUATUSR{?-n5a+Xi>;-Zi{?-{`@E2ag^ZL*1<$9335OEN$&A&0p9#JKF=i zmanZXU)uoeFJA!_tSl^Efs2>m^~Fm|YwK6fU%q%?X0CqDD=#zD%h}c2)5Xc&#`3wD znYr2Hr)CdL9^StvdhEzyUVfpY$ED?^jtdKmi3tk{9zJ|b^6UlG3rY%S6+n7NK~YIj zQArulITaNZHFedC>X)zUXsTViYx2~;79xVb!}Z;U44U_T83Bmu^Wd5+L=Cl_WGI8J%j7lu3uKadg;81s-mp4 z#0hGUZ6_hyK}Q4C7>L$D6>Dy+cW{YnCmS2f&Ry(mth+h)b8&NXAL2Q5@F4GD!K0#L zqGHF7pOTT2Q@p6Idj8@i8SXu&HLqPzxpZ0M>UAw0AY4;JRasF{UQR(lPFCs+=qV#3 zCo3&2t8i9E^6bT9U+A}wy7nfptF8wJkjgS} z63b6$|$Trq7X1}w5)F*n_Ky?2C9&si9op%)Qxts>|*2CyYB$6(9xqujtYy2 z2p!@T6F(w&LRv;n=^P+MnKR-df`6PgZ4Kpf*KQjc+%YmWGc|i< zZ*6+l2r6DgCFg+L0XUr_(3qC~H`6PhL9GVVY^Z7J7+BbM@7cR&H`}gV90&Lg3m-o& zeC!B6_dd?O9IVU?P~DD}hLQr5%0L+pR0)}wnOQiP26Eo;pAqET#||ou#1q|kSXNeg zY;;0GOk8}Zm$#(k$)gAMaPB4>Ti7XdQjDJs6fbxVi^-flEh2JKlxNRgA(h9D&dwfw zVCwsafs=G)9oTZWb#*j1cMXiao0(hww6VTUL`DV5nXIh4b~4d}S|&O1=MRfB({uB) z?lo|ZTxDSsU#_|#P7P8XFo z;1aY&)nB=V=AfWtM*G{f&5bV`?-z&|SZF>jlhEzv6FYTAR!&A*H)NCB=%#1Ai1&_;Iy7T14iT{o;PgnmRymqUQbzTz(Pd@5=U5Xy7mab|sA1Ha_R3x^Mk2~%MlQ|<;`{a`7Na5;;QEiBgd=j#zHQ5#O4qX_ zv#3n=D_A8P@8AD2HaW!2)#=*%vqzD;jz~UC8==~BR9@}UIeBSuUb?yFlF$dT5^}Pq zHC$4wT1G#Tl5T8J?-4l6NxizTwm#ERo)u*)VE;-fGB3j1$iD!V8X21yU}X~+_L8lt zi)vX|LP`$IP=%W>og7WiQoC(jOUCbfR5JUe(;-wfmHkK$SkR8I-1L3eVt#MUOl$r$K=Ofd*YzEAGMGO&ptjm z12gRd4Sof*l8Pc+CvID66h=SFuB$6aiO<6gzMENo{{|J|8I~6FgmYwx?T$PTMO#kM z1QXBxF9{fGf`FF#sIkic$(Su|#?BMR8KRA1b}Aa#dk2Sj+~#WaGr4vBelmr!h2@3C z9W$2RZZ^+v3pg9>KQ9R56EwZTM*Ja4?ez@jA;#_m|LEHHyM#^(kj9@>K_66=qlye> zu#5{;h6PI_DX1~rt&Tc&?KAjrhw#St%Y+2~gqps-nj}~25Dra!0apVaeJy&2FZN|C z{1zn}`^7|9Y7fycGaVw0TVy%F$1flxB*49knq(7HuW1-}9}*PUL)MYuV{d7CRp?8J zm$Oe;i06x2SFT-CkvPD-^Y9g?_=<+6+Wc@w!y5)xzA*{GFJup^`xO^GE|at@^f~1k z@M5p?3#}9J$ZQYmxCu6XE{e8Pug8*O0%|*WWUd+9)w?8fjE9Ts01yA+BgdtbFUSi~ zRo>gV=XDF4td6nq9bGLgt?L>p%F3$OZr!_o=jJ5^@gsbELMNnTPw~=pgkPfXD2(?q zI5>{zV^O&K!sLqR4vaydCG}O$=(xZaGK>SM7mmJlAP^BZsItJHXQ?IBH>7J9k?JTb zkU2%TD>Njp?xlYpL?meu37>Eaj7cvjEy+)h3G{HVG=Kca$Uys|l)%o-(Vhvi{bz2N zzIFiH2e5JQ1gp5Mt)0ES&9i%&%F>e3ifS5aGCah^TKJ7OvDXSl-qwTf@OC*RN##i- z)*7(iy_r@>PWkk{Y46e0aDVq5T7GHynGvo}jGw#scsw`|nrs?n-OEk<9=7zviHe&e zaA>EP%B{z?V1l{%1VN>QU|$bsuo<#^@x)kP^CEb*t6aMS^5mfK5diJYf}pg%i=(Z@ zTSf%;tF#O7hPWgp$;x z+`0*}oqP7~ByNjV8xtzbF5GpJ_HJ-`iYv=O(eSjJF|;9z{8yg4c!I5$hliJ6aAbT+ zMmDtNj*ATO_i}Txw|#8`66+qIz8?Y3Owpjo5Dd1Fu8ua(AKt!xQ4#D5M2{Ulz)C)n zZ_Q>L7}CGC+>vQ@xZP~}t*1PK>q%Na^}*AZ?>x104@xZSTw~-tt*WJ`eNlYRa*kGu z&(6nM?bmL@-pscKQ8u&5Ov8unSCAdP_`uf118hS<6$(^-f0(^6KWHMG`vpL&r`lUA}4f$o%DN5S#Y)FD!rzD{FuV z65|NA%`RZ~>-L>ozmXf*4nx-T@%00nb+A1T0R;BxfdT%$K45q3>g)*io)*u{OdcBD zGc?e@1@?tEwY6^CxUPBa>J<&BXnW!OIVHujXTgqB;jE(4xeKalm#=7Q-PF5%=bq7n zN2X>^%%44X`CmpL`S~yXzqJ7RzoGwIh+FCHzoZ`#fVAq*^mE%^^8Bg8e{lWj?te7= z4B*dN{+!p(cYn?6=YGGm#7~32j{BkgM@}H257Bnh510R?y1xhYlk{ISd>`}u-fvt$ zA@q0j9o&B{>h~R?_rHMgW7D@G+il+&0NHS985vm_kYoFiekI`#h5U~?|K229@4s>Y z2#^RF@E0kv$glo_$}xa`Az^FGFO~j9=l^K>Y0x&K?LObZY{^B)0NVfp?oDg z^>sx=08C$HY>WF9k{{Z(`hqeV{AY`QV-EO1z<)N42W`LIHqGzRYHA<{iEj|MjI$lmaDZ=X9zuU}1g%$FQSeBzU%39)Qe?pp zFl?LQ*6XkPZMXj10buz$TKYFAzd0X;_{RCq*#2Hg5DQRDKx+QQuwV87UWCR&cKTs* zLB@fC{V#d`B=Wx>@drJBkSY5uh*4nOgo5fPY5!!yf5ja_2aNTV{z>tFj~77o_Za*; z`d=NUe+SV&XQ8iH{wAP*49|D7 z{5=ExV|czh>F?qBJHGyR?7tTH*8=~L1->N>{`m#s2Y`Rd{5yiby!eMy{#8=yFJ=FE zhrfpmO5c2^KNj@oncF`ew{_I&HS<>ICL(tpGO7Ibdtq&@|e{B8*s^8fP>hVWV{`k(f5zuI9AR46j z!4If`Y=2e)g0T&zQc7A{3XXt-U(%pu>o-Ja%B7^hH~nl@;?Y5Zj!XO4n zq|~obK_4~*W42V0g03N1+XWmD9^2)aAL=N-U4ARaeFM1-^{-yx-wUJPjPX_E)P=mvnZ#d#YKa0le~ zuUG)1?*O)$LUw_w(cfcdt0oB*$^J(||FAP8Zo6m=@dc(ivmMU=X^!89L){Tj&u<0= zc);~P1!r4*@X@R-v;3a61pQ9+t%k48-MWV857qq}H@-9f{l$Os{Lj08L*DHBOH$7#?^F8$22?5^fAp&pQ#hmXFA^E)HKsE9dFHaOmovrA8#GQIZVe+ zx9{iA_`d#z=a=VsUI_{Rzp(Hj3-PU9k2+||b!ZD4w$14~5Fm6dxx=kEC&}<(FPI+1 zS`b|5qI^;J6F*D7y^in|>)=xgv8)Yr6%Am2N#aJ;4;ATy|1iF_U zUJuFILjjvKwkO|T=cx)*;v=`^acgfyb6dl62xjIM+A)DECb<1Lx{^G+Gf$;nNlObP z>mgrIh1oqHF={B1G8mkAVz)^Y0K33lSY{t*h)ZU zg7#RG(So!J99wMKy@!@{t00vS0C-17kW-$!yXXK7-8~<>1a+$F7F1Y06!443Z_~=R zlXQu1SFdBO!mg#}0cvUNhlhCd14QN5i@bf$BCrCg9*IOM`xbeB+B@sh$+-?7c0*du zadGXk{XWY=iD#SvF%?i7r33|JV@kGz~u8Z`elX8(ttyQB-z|dr^dS zSub)HH)e3FE|iJIF_EdH?lh$km0zx;^HQ_Vl*A=RIJMJqhXAkBzH)JBn4eItyYV}9 zjFs^5!tQxqh!84-qgk1ok{h`+6XD!a^nHOf8-pg?qC`#kan9%~;}$U?p(k3B==!aE zhVqvrCANA`GvOY}Dv~zNx5aCw+)bwr*E3V>l;UX+y+i995U)-XhQp#hhDw`ezXP0S zu_of5Ua7L#EgcjvU0OF>9^XqTb&ha1kH%c+v9)Dt=XlqhxmL7-aQ1aL9ca@u-!Lk9mGw z%!WD^Q{W1;!nCz^qvL2E-7vo5GXQ$=2j_^Wmts($7@lTXKb5HYaC${W0Rzt&L5K$ zHYRtlz7pAvzV}4c%VykRQ}UqH3FR(O#6za5QX)=HLLPj=yM6IBHFiS8%D_ZI&sC%H zjngZ9>Qg!nVE9}@mQI8Kxz&_wVsv(=qfA2fZBAn?pVFjKR9=pl@F2)JS~PhG)#I1x zah|F3!tFoWQk^5{t>JI9F7Bys*E!lS9y^-L3ehzwSKmd`fahyII_rgx@D8qQ@5dT@ zDY)XScStm0^7rinF(fqE(gSx+Ua++0XYg>~W>7C=Ak>^L?XDqANwOq0eMbO`Z>@K) ztwNZRkdNIBg_Qw!06)v);bfO#_^G?l07#WKJ zsP;w-Qu1KAOUZ3+T;<(r;gfNJNU0sOmothg#UK>@{@j9UAQj0?+>H#{+{8*z8p~Ki z6DQPe9kx0=kRnH5(t6C8Wrsf-q|4I2Rw~XiXy*yA`<}Qva7Gj?H9^sx-gHabPt_`r zyO#)s2UVx)Tl(WFTJEPe5zJg@Jrcn+(1Am^_L}aFgBeC#D1WPVI}(xe1!aUXs;oR5%50~ZO_LoT>FjbpdE ziH8(@QaroKoqR}x^7$1f;H76n1R9J2=I#it#N@cq$LWl8Yfj{ST;0~Qd7;Vuqz7u6 z9_Hp-nvQplEmp7UhT~4qsFJ7W(rEh2r<4xZ*I?tz{)BBU)D#eKe}K_%f57ZAfyR?4 zpBY}OU4RYz1W0AU_{A3-pE(kv`z1L%rBAZ%w-`k zHDqVnTF)^GPwiCTU8iK%0mFU;A&I*f^Nqa-jkHr%+~^XQ3TIL+0lZ$^DYt9l{p=0f zkzJFS2Jn+xWgeht#Ypnb=@M91chlaUnzS<;A>$azXz3VR#};!Fa~Xk&#J3`2 z+xoJnM>Z?q$J|m&I)YP%?aoF2T(6_E^T3R;gO&31E`#BoRyVsa;VErC{D2}xvVQzd zH$HPSU4DCc72AW@JZuAEGFo=uM`Wkru#2(78mg+ImtsqCb2#g=&Ix<~8&uWi(T*eR zCO3Fu__B!fq03W{YxUHp z2z@u`_rx7)6&k$kwa97GmpS=hGFMgojQtJQ?Nd{|%!tlnEJ5Nz2#z&#jsJ?Dq`wba z0OqH~wQ80e;yID1rueCR+M_|;pwi1_sUljM`LXVil{pIb9Kd2Y9kX}$rH-Dll+=9m zEyNN)Q!F&e!bg$LO5%Lk<%ZQ%pE{=lb89Gq^Hwx_B=8k$Cy1_$&@8&o@-}Fm?T{K@ z=wRB7pHW%5p-hr3U2ZIzu}O^1*fr?gLxdGULPEmPwM5yAz~a@tvzD1e>~+dOa*-py zwwf#^Y0}M_6buPP-s&{^+JEN8EO^sb2B;gTpH2q1?VET*cv8;5NSzp|1l?w(!=|2; zc9CAvbsy*SQN6vL(@Y3)sYCLWVR70}wTxXliQ*Q2a)<;*f0!qiKoo%=f_wDpf~)Fo z9mymU9BPf%NoKogQRAICy(xvCA7XHg1h&o(bOo`qb_^KiYv<|}>j*Z5CJsz#*i_Z? z$^O@m$0i|7d{rlXIm>IU*Gw-)N#_IMl2|D%AluE+s&SQ8MHE4Cw7hz!iyd!^7>mo? zx3ifJJMCHp5m{xu0$RC4J`y4{B88*1#)D+U_`v}ck~ut`jX`SOolXgcxCF5TM1pFa zHXP&GqPzs>3RRfdp21HiVTZN~F7lLE&_x+pYJ2rDJr0VP8-ZgyR$AVgmf+>*Fy0_+ z#-V1tSU#Q5nQL^JGc(hA#RX}z;|4#(w5TcmPQb5daMn_PiZhe@z-c!IPk&Cm$t1WC z_OztpXXeC43Uyo(=4ucqhKM>$HOXV7h1tmL&_lDScF3jyf9p~fWCoVk7(zQl< zmqJCbUMx1UN$V+R1boOVj>leiU`k6mo070H*k&|$$t;cYyvs?9UC1_h&rq+%I=~ZO zOeOOm81~ijc(1}s#5c($>Rw$uvZvA;8f6fiw8y?UIqg1k?J!y}WpZrVw^kyz88Xs( z@7bgGoFDyFPXX^NSRYCwfLG9PoGu-%nhh@uM^m|hhIK@eXV{7-;>aPlp0ufF0VJL3 ztNwaf!}f3?iGic?=8wsEKE$$S+}=fOoU+^j3_A`ECM#4E0*G2h zuksNg`}|HcJcP{SC1;%xco3Jvl0-9n3Ln4=n@O5hhWMjOFnW4V%Yja5gMfdc*?>V< z8$)eu1a-qrhX-}SS}|!J@4`6EUO)Ua&I?&&KEXQ~qHCd!-O zTO|8w!#VZo#(8m`vyO_$_qzZ<2UMOXIVsOdSXs~B!>H!hXfp6aU00Nt*$%GB0d?ysy1K zp;Ex!LN$JIb{=5QO>b(FS96czHA*Q_hEUmYHsZybREW7pq3WjYL;`OYlVY;tm)s~U z3Klrk)L0&m^hN=yL-V%%6wMZo3CDH}+6^&l>zmoGE1PNq_sY->Pe(4@)m6HQkD$YS-8==*z_mKw{D5e zKXGmft1DUdDZ61>;tbWo!8r6qIY@r)BwyjCJcVwT)l`qT~1Vw9gRJvoX9nbSJ^x+0YrhC|c{!HYVCy=O-m-~cLb z*x0I_L?zJPHA_MT6yQ=kXY*tjEDtQ71^6hl-;t*bfb?4kW!xU6`0<3&<0h3abd3rE zYe}Fh+V-+xo_IsVNg?IrzObH*bP~r=?I>pi1vg|p)I|tKCYANn2bs#z#A|~mep)C_ z%Bq<~8(}7q6#}5$Q%@yVi?@8nNMq>5N|}T zNgXsxkT}C9^VW-B+lkG`_7xKHN{0+W2gc2`_xDhjN%GKV%7$)#CUd~ubZ+!EC=Q^P zGgNJ`-z8Anno~!2GBd;HL!z$~AenQYRC2@5>&+D4p2TlbktF-FSA!~WF4pY7dC?{WOJOL%I<>Q58EP?f$&EhlPc86A z_6kL>y<6#$eK*o&^Trh-k7M_k;OJau%u#AE4!`=YZLc^hJ1BQu1pt0V9>4LK=%GaMtHa z6g&1qQ^BN~j}Y?lEv}`?%zFFBJSj|#ar2WR4k=2b>{OKYy!3gu z>ClSq^UaK^Cl@ZRLJ(DcyKOJ-$r_hkWO{pmsw)26g>`Ah+SxF~Sv|M3cp{)VqD10A z$^duSx=*p*`^2-9Hdw`J27Q>E&$o(G7+ktiGgS9DrFy%nXG*!~bvBk78FHdBLez5{ z(<5NB<%sFuRG{yrOB6VOqa4Fjs%UcNUc$4(^Fn2Q!;+yvYg?Z0^+C}Pc% zK8Y;2N;=VwWild4T-Oj052U~EPMOlLtUY(GKH5C;pCc;wW`|>QW%J;Lhq-7?4lR~g zF?vBS{Kk&rf{ZEQZq4imtaU& z<#dKMQ<~1KBO##CWsSCk?SQXq)TNMKZNxPKwqGJKK4(qWX4)w0~Ncjgwso$Spvae4_z^BnGA z=ep1qkei*8fiCi7M#Tnb3gn>-8v3ZrNGLA%9{Gr@Rdwf-aO&0*40!xwrAhmTX0VXW zl}GF|DWlW0n;f{yvurwBLdQo96VThFlLXJQHIlI``Os`;QZrhd;KqrC#e`@Jz{r9J z(ie!|Y^mQXSxhsir>VCcW?zBwm?s-+;imDDqZ3R|>oZF_(6zf91ms(CCC3Pt`(B5g zY1kr-T`lU((^wXdySvxS&eju;$qLyglAf!qxO&B>qS;R}C-7|U?HS`O?$OwI{jU8k zVIi$*0~h&Cl{O-xCn#HsP%|OYMjVDoTkr|qGq7VFgsjgXB=g5gz!iN-t4f|0auO^j zHC)re3BZ*FV-1|00Ov}DwA@*&m1u$OrV>nO)N>$|0F+W|P#rGULH?!_v>4{g*r;Ups!TJ|iIFsHGf(8sTy zg!{1cAf3-%*%MjoU!RwS!vu*+h({qG84BcxxJHZuB@0$5Untnj4NM;b4?l~NHA6u3&c6fphG-Ucp^4ag()(W zIlP1+1m#1!X*ifu1d2&hFGhz!l841Z1b0BDG?DH2~u*<7-YOyQ`p zW=={>57KpHc&32H08Cx55DdGXv(%|0%*vxii0|j!NG#aIi@6C0HJ?qP@p^WVJKn}% z5@uS{+?Z8cZ2_L90Ro5!&yJCc^3BzvvKL!R({$-MdI8HSa(+oL$?qj7eZ*Vku*IJR z;u<(H6cnisfNcoe=M6V2PW6~u5GLTj>3hyzn&-9&AG=FVb=qWbil-45jWfo!z!yj7 z|J5nH+{y94Zk(8UXR@St1^P+emCG=n%caH=ReVj^o zv(6KF=+)}g0fLx`Jm0bcj+T$;hi7D=;aoAes%9v11y=X*|E-(Aeh=UrB{dr4?LI=0 zyX1KbeSwc?!Kp7IYF4_rp{_h2E_<|^-eh4mvL_H$cq8?=T_PNaMf;4A0K^%XpQXAy z)g(>i8V$vgBHdLN7l|prs2d8*G|w{uqs5!uR0;7g0*ezxRfsahQriM9fJBS5B3|{A zl{Zu%3frT$4EvDQ*Zj#)-e~I)ZnoC#Q?}OGOTLV@%h$r!z8Q+nkE-$&F%Va09%OOO zOGLDzHal%kPR>y}f?`<~^a;X3;21UL0z}0O39uHiX|`*=#m3LJL3Yeu(ji&~;`be! zMGP_GA)p{ACgCMH{_Ji8m4Aw2ycB?#J_M~+Rjl0C4-)DDOI^&L#aX@VryZ#1I~Z(c zot<9?Wj5NdYQ;iLo$$?dR@Eu10Ry#|FcZHtaK6Ju9l}95HuqE#0uXFWNVA=zP~keB z8r)Wf9_l)7Drr}PuNy#}*$sVygp5hB0ace{Pc=cc2u-?(zkLj z*%6DW0{0|t>Xl}pu1gRIMo$@L$J-_{-a#W`akcm-v*>rkoT3i*?se=KUj$jxx=fiV zxRPP);G;1+xX6|05RG4yVc83@ih%LHEtrUBM8g3B_v)C~IJh$2ZdOsG5`tl{$gl1C zh14m(Y#jX5CGIOzTGJ-_Oiei{C>~-?%QCt~V(lNTmy~i4F|gg5tj-jtxV)zdnogkB|x_ldZzBahm~sqz|b=PC1H)0~#T>q!ce%34s{v||D}f%sOFQr^A~2S1{# zusCwWK|h4lL_4{oW`LW>+At<4w6`P4i=;xLA=_54-)e?GQr$UcoGQvy*66%QGGOtt ziRNemduys+Iv?fcHqgl@T3~~x)-yAog3^$eoYfciN*W%*84fMVXvLe$L3lKW@%n^; zAoiraVgjo1W>HE4ZtQ8I$a0T?FtK?8_p2Rhlf=e2%@{|7^e9*6ZHgDyK{@$N{O<5! z$6KWcOuIq5jIIy3Ozk{P*Se!* z4o=Dkqq08P_%U$>;=4T|T*fKRNGy4Fc@)!2%D5C6h-ECw_lQ+hUL!_ZXEKUXV)ENvU7)sTOE%B+b zX==T!(2_B(gzEY9Z9oAW^y)4X)8{=0pSh@F7DX^mD_A(gbXVKJcRTjs#I)pFWEv=&AcgdfgBQK zLvb{@hA9f@eB32$i1jdP!sOm=d`-?%j6qdNjoc7FsUdd2K&EEI+@it#q`#-UaWzD= ze<@^Qmz&gcuErC zcZuAFf$R*B#ITuRJ<)=J5<+dLR_9rKl#G6?{jq~@-th(AXlp6aJbOk=Q`i!T`!LHW z?jUVlkL6Oj;fSzrW<<@QhNNBTzp~h(<20H)rZw}KXTn(r|Cwb~5xZf!GW&ts0;AfM zDflr?MwzCu>&F}Bcm^PTvw2;IvOeU&0kCv%RKM)uEkLpb)^O5w?&sN4vR&H9wCMf7NU%K zlx!frEigovLbMzMR-CdN4e;V3lJ%;6G6k{skIZTsd$@327!0}lhx7J$2|_RB1SRCDbHHzPrm3{RaaB|)MuqF~IUoyQ6)x}?q*)ujba5RIOv zCzw3xG05yT$;x|dX&;(?}Wc%Vw2S-)%& zyR$_FsiE@53@BL=b|lp037X3zXwCLdL|JT5`O ziw$ym&{T?(8Cp+e5Xo&`c10{E!Fo28eCI)vA;_J!UtXE;E#s|(Nfs*;5w1y==vK6W zGl(!!uM_M%d6`~eU^^jb%kKU+3dG!|Pt)%IO|`cQs&zUeWZO1wf>J16ewpvm)nIpLO# znBsy6aav$IKbPnHBT;fI7eDuip~RoJm%aUqOlK!d!AS{O-dogRpbDzo_-Ko%BKS^8 zul)g7-zrE%eh(dIt8N;e%X(IL10Lt0R8X<>Y$%YGl}#*4vQg-(6ZR7oyB1?^YAkFx z$@v|@3to%3ItEYmSt7n^SDbjtUAy~qp^>Kl8+(hh(`oC9j=nWs&e_5#w>-GV#yErw zxs#kLfHwL$bF}U>E;xi}tr&I-xI1g{9g&2$?cp0+Y&Z6fC4DuJC#hN)GoL-me`3f* z+mkNxL~D2O*290_=vWAc1QK>Ba+#J_V(YA{v;g(AN?P0)d_LhKnO2ICw0^lhS%4~b z1G`MTFF)Yri-;dTa)sM%gx5MQE~XwbxspsAXGX1?H3qAG7U9S;dnb?yhWc zxGQd=FyU^|(-4X%Cr;i}Q^Gv$orQ?``)3tct;ndb`=D=ir5!+4AkSm6gzQD$6()q@ zYWh`ryw&HJlxTWO^lPoW(Qr_yZ$nwH5;4@UjZ=A&kyaFfK#$-?IBQ&RB(Ph}(R*@? z*s!mr<&&)rp@**Mh|0lO&2-K9%-!8)49$_>qjN&oFtuHMllTHeIJ#<-B0o)phz$GGA9kfnMh%NVRyA#^h+CAex~;Kr#iP`ogD z8T(*@CA{CDKHh`JyzZDKok23}s51wIKbO$2EfTxz?j`=luWB*!faDo(oMul|_S744 zMRrH2s!F-eFE;6C>J@b-AdV3s19^6MigQr$dn64{04MFoY!>@GxnC@!qXCPIlGz6* z6^{n_dmBQW%(L<^DLx;Ubb)8LHw<;HlBP2yPNL6_TGXrzv>R7}J#C}Fsuh!)0I@@c zau=2y7Z#Ubd&4I{G^Ur^p$~R+bFfCcN_X&G_8k+;X7&|hHa0etU*$3xlT+mU7)0sf z3G+Ug`X>?hiF4K6PfqZkVsZ9_Qw(bmDdLpo?9wl7gObGDc<*-7_arYNihaBYXMTyN zy8Z;1vt>!jN!eVAJ#=Bfl%WL2$PTG*vKnZjVq%@eP{rHJ>OAq7d!6JIUSBV|Jr=KW zRc^R>uIOTjhk>==pT^X5R-_APn!L52biZU!bte@8b9dodZ|I3L9Tp1g2HHK@dpmDv zF-0Sy%NfPR5+lVptX+!SFQd1OV~hQ>);uV5*vX8mU}eIIGaizbOgq-sLFA40Hy+BQ z9;!}u7yS-6%h=XQ0lXO<(>KXwcy49NSrz1yDR3?x{>aA8#!NZY%v;R8jVznO0CM&* zviA6~e9zF`Ql}v0cqe`0JT+hr${YjCrI)6&Wf`v1QU3Fsk%in|!=tt2QLc z;@$Iogzf(1{J-4{X`ZQ5fm1y<*t~E5dI9U%aVg=TlZ{Go&a)$)G7grM`N~G!So7e; z{L-AyWJIpIYUy!?6cD$ErLBVJ81rtCPW!z?fg?jwk#jYYaakgA0AX23qTHv!uPoZg ze5il6F_}K5u!x)I3>Ms4?4r*$|LQMZuR`lYqlqWf#2s?z??hrkU7(SRxoTXV5Q1Gz zQz1$5=gokXXw6z|u6b?ImTxmWk4?+lI^?#U zIS8wp7A(1cEtx4Sbs}V49Ba4KRqYgC$O4-0cq*Ax*~KKq8IbX-{ zjjxD^4N`9g>@8M^!A6D4@a)42tWpmA6Pri6W=A6?UP<6|Q*(X-Y%sVC4)*eK`@>-B zI@*!I#`SD6RBy^L?CfX1u8^`+=L`7w_Wg7>A${(27bZ(meylLA=DSC}CWZmjUCi?_o zDob$@`O3A7EWI3TnEK0Wt$b55jx62`EzYI93^YcK=dUjln+OJ-WvZn2izqC4E}kT2 zt2ddBD|L0&i!3+!%$RCPl`W^&%h7c3C{3IcbDZdBt8px=!ih4*h0#!lOXZM82IJ}Z z=P{HdVEcAt+RhKuP3avx6|0E@25rga15W_?*98_=)69FcC3Oy>ea`*FBoJQ_WiGyI z-9;XHcKzE7v!s_|;!#DO-|2X@b;LsnUq6V8V)~^p!4*+Dn7v zvZU>);cUrO(e8V@NFOr&2IYK|lPd$|NlgHU4t3e)t$+=I?v@D(-%d)>ea+3Bde>ciW1>%D*|yH4jf?~+933x0jzumF8=|&B2&Wwwm7@jiLei65Bo6Z>X1xdpQX&gc zU}OqJkA7(4Kjm%!p8rBuC7hPSj|dGR=M3v7vJ1_%r5dGO4+Y#y;4-bxlK zvnWPyS#MY@QNL&UkKdTTkK4dPS<5|_Y-;GiVniWz0@?iqFyiB0rK#C$A8hsNJFA=B zoxop^Z!?L0dLW!*w$SssZ@zF!qRlH~f|3J0>sv z(pZ9+7|90JH(VR{&A0QpdYoo$|7;*;HH3|Vpu;8eMFg^Hz*UIpZ}_Df=W!z_r`U9o zScnT99QQZdEkihuPl@V>dbBd&A$PKvLY{ZmIx1YSPw7eEO46VgeE$tO`vH*nMWo$O zEWu@WOKsP^+0}0`c^M0$a9d*WqR`7Yox!LrMfj#gTkEdiH79U`X4(?$-)0XtT=H3n_oW_TLm^ah)#nEv*LZtFXwnPd%eHd zAC$f)c))ePxR_TBddve2HQ+t`V}$oCu${j&g1+_ z%zvX5uDR>{Kl_Ge%z?uh_n~2&Sb;9-AW{w8s`{jk=Tv+2BZDikMnU_Jmfgt9>y)?; zC;Z^iTs7v$9~|Sf(9m!v&C`qz*Z$W(LMC$h3ydK$4sL&)J9`RDmIM{(xm`&UzLn;! zFq@lwL=Xf8uCI<9dnpn`d$&fiF6{YOg@(N|zQAhZ4Bv7D2B-%Vyt><~&wafSp8XH| z!`Weg(VxNDFu(CDIX|T+riI0^BFU`%4=Kc3>hw@np7KzMNZJrpF$95E8hqhi19#O_ zsn-XG;*R&@^wcuW{WSY^&j6E}%ZvkNSc+?{U40=-Fw5X}nILK*NvRtS#pAR~82r;R zgoky;F6+ef`z#pDUN>k~dYCZ&&7-x^kmLPP+q+BQ5|-?p5}i9UIb-e7AR^~q77*@y zW=F?gj~W#?2dAHK$Y!DCAju+!C_Vv5e%{e;~k z2EuS~**O^#>i+jNB6P9iTegjRf9!|qC{Lwwr}tLV0zs)70fFJJ4&Pv3eyM-Bxyj+% z&K}0Cdl>7u-OzYmD8%;g$&B`r@Cv)%aCp`@-l_7jkM6>4`8LrmT0pj7Pq3EryiiXB zvgjRWJcFGG`!2(Uk;~Ix9l4{78~gm972hg)QwGE#$Uda*+c)NMBI$IUDFW=;z65O& zRh_p+?UHA3#f^9B$zw+bsc8wVYaY&u?yqMmWV=n7EmOWm3X4PS2ad1VUc9B z5o`>N(t^UH(G(|!ghR)7>}=|vOGDa}r>{%`$w zezXv*DTru}qk%pS{QYzl_TdMrd=#JsZ>&r(I*j@B-S;n?L3`;+kSpZIO3M|LeVc-K z-u|`UnaI(lN+;P#Sc9)WU?AjDTCftq4P^We=;I9 z#kXT`#uz+EN|tvjr@tgMwSR(u9W-8RzkTnYb6z59d4w?^$=P^8k4OV+vvJ7 zd#(C?OziGf%4_~*TLG2a#n3XvfM>=)s}hW!dr)N*%d%CrBde8(!06?P@B zwyk!0JV>g62Q!JZHSc(twHXQ2pIqa>erY%?2q?aZDJJiAN>YcRbsLJUxCgel%8|5= zm=vb5;?YvHzqs#d{UWBI!5I%D$e}B>)qhJ7>F4ic^UPZ(y=tzGEwHn!qDa3T^!DHc z&a&){*akJpt3D~~rCd42I9D8rVdbb~+`kR`4~E(NS(!C-D&Atv+B+wI<%FX8JQKDW zEGW1H8GXgd{9e4wXAA%X3IdZmVRB=zoOC4)_)HVgwdc~i<6m&Qtc!JEA$&D zcQMhl+5B3{gb*I4(#RjwnnqqnrA8EQszt5E^kQUji0DSc&)|-f=TEpXH2!qBVX+H2 zEx!*Y(l(rce*>L0tJUC1cQZGp1J6V>$@1DS!k!j$pG_!3ep-Ax9(2SsGodxQZ z*7?@}8>tcQ!iNynjqzPm(VZ0}_b}A>AuabKQZDm4&CmTSOFPa#{~5bHj2xFne*I)C z$hm>g(*zWC>KmC#(AE&gXt}7u%j)WxDSIF7C zj~5H3s>b&H;X1Z+9M_{#?vye;h#U^Mtwi0wH|DstzUDi7%%u2oLPY*uR~bMPp3bV& zi15Snir@T@SG>zyYGsO{cclIEZxE9wSyRMc#sS3+G?4OF=JJ){AErHdhnXQG<26pd zDZVBS8%-O_`j*eysxm{XtO3iFe-C3p(Ol+jzFxUm3Ne4oYh+To-i1oGRt|h&s8cOW z38PPSuCdYtrB2)Gh6}uPpT@!_-9CHqgQ55T5a;%JjZl9e@0WHh_~@e;#_VlMIH9@C z@&+Fs^L7#Eyzo^}pQ>Fu=pVP0w-)n3*`1pJU@BH{dC^tq``NCn z{%)6j679svrJkDQj|f+Vvpu|>>|rSTE9Sm^vpRU<8M;N^F6`pr&tN|Y9yh-Gd?^6p zo+E#*EIP__XRPSAFj}g7^8V()xQ-H^=;TxacwI>CX2mACO3!|#$SR`9<%igJnQQy* zthhwW&-2WY7Mkwa6AP$;PQWc zYUHn;0LE2(&*y~_I&T3Nx@tY|0O(f?bZTWNUFWfHuHjP;b;qZ^q17toCz9PlMgFgY z6F+?)7E)@FNv?QAdy%i;5F0M-{pT9&sJUnUZd7*m;Z5Av_e|jr5-hTHqP~_2{ohu} zfy?EI3{klc<i9GqU+xr9mou6fpE)x4j-FrWy6Q1zWEt0R z^M3asjQqoT-KC9y+R9%6YX3?e;$wKw7?p6M9Yy&Hk_=T0ZBL2_2G{0Eun?8{^ z*W*qEHRpJsZbGXT$CfzXEL^zT09cf!J^V?hEF80lQkp$*p(~-&oJ?M^Cqk?PQ*TRZ z>?=C#j$tg;2t;pitM3L$%~V8dMy)5?7{UF&-y~HSm&ZSV+K@Rk*YcT9G&6qObGTI{ zxk+!$Y@NF!uMjj(`SZ_wqy>>#raZ9OF-NVmNZWq9l2tw-j@ZNNPvqLQWHDk+Q`&9g$3^Mlw6g0nel z7yNfb1v&Nkcr5=lHAYQz`)air3`#)F*qEVXt1b78^A+-i0YYJYDG`H%d^$v}nYqU+>o_gV|En+)=Lbh(or0j08 zwbVa=ShL!RjIxH2bPbQb&0N>MSPuSK`*k|E&73ONSi3ggHp3QYsx#_`q=uW~q#hf- z^ke9V=Fum+NXy-wd=Thxtc!`Ib2BnPtdc$CG*QZD0s*NaiFmHa=CfPhJ<5j)-`7X@*pXuv=(- ziq~Bec8MJ{deQ203&wzNYdUpXX-p&}j>2;gq^_Lfw=m_L{RwD`_vz2aOyd21YQ}BM z-)rOEYM|~-~bbvD*9G?ECNK2|ysQ*wi`f>{zkN;M-{Q3Gt zGU5QL68WhWp;A+r^YQg};VgOgs8?^EDD*L@eIPocY%_RcZ8d59VV1na2JpEzNPf!S z+Xl|xirMYSQztfBC`a*nyu$xgYkyt37j|T$?)CMpCVKx)9_NmY7TJ!ccNg64^y(n} z_*8I%GpW!u+SYqn)5Krc!sFc@!-b%Zs20p(parj$;=k41tEWv z8JG@Kkq)|%cK%`qIeH~-lWE=_Uuf}IKh5^0eH9xZM2+Ye35SXVWpq-q>MP7W=LTDr z3KPoPrVje=d+;E|Y*YRlqpa({Mqw|v3BRz9H5UE;OTZo>(6A~LOuMl5ZI}$g`YKI- zNl$te*QuVud=KC#xkfk@kQ9F#t%i{)*K-H*nud?`a&l+ExnqBU-|fl)msaNKQYXywM&!rioyi`n)l5Oc;SR3=2^cF{XBx{befhMgz~DX-aDoQ|dg@q>7KT z<`_4NJ;@qBYrr_Oieh%ZN36|2J>NZHI!4)~d^Wsz>Ou2Tv!+g-G9LTaKf*Ppc9E@Q z$DquUB*3~IpYHsJ&WzCD-toAXXA5I)3%ixDWHa@_8>JiWia%(P$j=UMn@Fru&=o8B z0J=zeHGJm4NCQLZVWh5Milk#90%rJ)qEv(Z6?OCuDb5VQ2FHyW|BfstYH`u3{&I=3 zut3YiwG3kAg z!m_W2Q@?Dw+;?em9B})ofapf%v&mlB7p_DHEzkQ)N}G`52VKe@M@uPRd7(6>cq4GuYDg!GB-`uK_af&oJN@rp%wS!d^W9FZZkg5N{FIb5YHV{@? zpH1tj@g3T_;*KISr8f@U}1?m37M+`{_XZK!xT)B6kdhqO&uto<73K3OYi8g&ZLj3p^am?qKS|)M@q< zhaE9aDg$3c4!5dQdgW2PK_Lq+GC&?`zbB#Zh&jwU<2rA+<}@R5SZ0C3NW9}}8@J&Q zma^K!6jr5JbV$nFogC*nB@k!5FkB|71}~KRhSsZ~r_1T_D&*UDw#f|iQL>V`d)Qnf zlIwMbAvHm0AbQVBVfo_IgHgw%TXI>%Q>iyT(&a-{U__gf0(ytUUpDx#(|$=|rr55A zq}ZQLzdl6tyVNnzV40tAI=6e!^g*lIw8;EB)t4@rJE;$C7VjSxy>Xsjx98*N%cKxx z_eRi9P?XPIuoS68s^aco*neSaf53SUU$2Sc-jufl2B?zBH@ni;FuYNY{J-|TJFcm0 zYn$GyC@QE}KorX;APNfDMN|;GprTl?qJn~Aqxar>?ziEo<#Qejd>gz}3IL^-lV7O>E2qyQG?; zFQnzsc5hbE>Dt+{ziW41N45&i;T@q0Ikv+1D*HkWEb?{MbpZT^3aSPA3x=f}O zwL6Bkg(+8BN<7_L>mQ^xLtTM>cV!r`5oKp;$s*6SEBuj;&*IJe1)nT&TM4v zIsIiOu_&%ti`7KENrvRUZFt9)ra6OLz7Ss3fhY4h?0Wn1q}z4W@{=FyzAb5u7{7@Z zQDr|CZGib8plnmhVDt-GQR)&aFCDslXv3DxE+uMIwma18S9YxSt9~Z1!gAQ%rMJ!e zY3-NdhRpkG9+ZU}ynH=|T2Y0;(S3Q+d31a2u73E@UgHIho78oD_MU-ZgZI{Z;|)-;_>o~ef2T(_1-Xa#SL_% zEkxEgB;J3P-4nfmp$O&5p4tRIW?s31{?^Fu1lQc#8b^9yIt9)hGCK+TY`_<7RHt6B9FME_`xwS{4 zW#W@+B*f1MzYoDApO5b6X_Rj3WX5Gg^Wwu`XbRX>!!{3`=X}u~Kv3gK7g)RcARc9#LJ z9=}zQB!5I~txkc|NA`nFtZ+PH|As3nv);>hbslqgRRmAx_=wMI>y8dPc}=6V?Gx3fKiIw*a^grXl-)~jCdyKu|Q_a-Vcg@vu0$ht!NdQMRK6|_neUBB^KL|yiR_4JzV_DHWEm}Eciv(})u zqjuZdtSZg%b^CilRCo*?*6zL=b%kmAn*YUYalA z({r!XpF7_P|9bfjr(@k-vxzZ-krMSC?ViM=T66&{ZBP8o*6Q7~i^+XBd7hzfDvm$3 z-gsM#Tj_=e6Ek))2X@_4(<$R(attn$*7TRZ75SlQRqp6nwL7oNvV{wW6e|M@m6Wa~ z-xI6Zp^OuMk!s|=es%hxK11)PV!hWl7%UT>tX%czPUJ7R7x!G}jC9eh1}gfgg6B8I z$X{YxXZA%=eCP1+$qpySj&U0~{lMp}8&YHUaeR#Q+8jEbCMsDSTDs@@mk4E6|4P%MNP()y+;b;9LaH@5)43O18Y6Akf<0#)Is=SY z$m*(34&TXjx*+q#-IU@+VBN=b$+B$dLh6|4F>WS|{E_K3-mH4w8pWe}oi46JW@S(-U*0jJ`$M*>rw&J-80FRRzlPS?Jv zd`F4pY1o6E0bg`mWvB3iO4bz~$5IPxcE0NPcyFP;aAIK(tI)%sa%;7s5wT+?-sRHl z^~$Pgg<{lE_LyV3cPYE7*ED@N^`>0ShOl9O`G?SD`&W%zKdQXv{qg4LXTgn*J(vsh zd!~erV9sPnx#6~Ykaz>TzOKkve&X}{HKEM5mu{Ke6$nVJ&E7b9_pL^VU1-`GHTSQg zryo=;tI^tBkx4xd=3*-RU+BBPI6fEQ$KbNIqv-AHPZqw% z6-cvZHj5m2{w!p9cn3Pp=8{Z$dq3`gVyNNg>qI#yFIJEd&kWal-cpG z=;mI%(Ul2gJ@Vn9^A`-$)`Yt0XwUSzCZeqj2FIUz-L`GNe3p0r%MUV5hs$iz{AO*- z))p)0hYvp=eX~3Do>}df%*!pC*S|WG?>8@a=IQvZ;ae&La8OUk#B!c{@c2Als3V%B z5`4H?{{7hvjn}iKxi4y;7T(S^V98-QomOQk*t+$;!R8z5W4J#mg?fnUM?Qx|ln*{p z=i~!XzKUmZ_=%_cS)Cr1-)61xG~23w>h9g_t205run9$xM27BeTldkwp+!hCN^F() z4w)Jy7$5L*x9v@CiV8;F-=~3}>;CdVH$(y_uWp(-_HJ_5HHk6yhmq1UYu8g5is)_# z)j7Us-oJ7F6mvmIj_<2wSi!3|1)8o?>^;RKpEK)?XLPT5Dszn|$^QV8RF_Rg1#Us> zO0N9+@!)qFE0| z#rJ7bP-+u7TRNwC(5;L+28^To51|yDhfbNzL1lu^)D6~>uwL=myIKt zh9_U|%{efWogM+ZrV|v6;!}+0W5ul}FNPaTAK-b}??^ekm9>BMgc}%c`WxWUZ*4saJTcZVGpN=K|YaIK?L-vKa{o4xi0t0Uugt1u*Z{i{rZQho5DaD-6 zScoq`e&Urxg99dEXTj4%h2Dos+Y`cSW^zAu%hpDfWm~_^^2<2SV_%};7~85jbJ&J! zx2L3#D06MOrOM^6#oANp^#W#^8!bdP8ye55W4o#dLEslCVD_2MMlRxLt!#7T!vTt3{Wq+M{nGYomRu$Wr z8`o?_J-M!=AiUsnpk-N;rdvkG(Dm$&_a{afo|+qqbn~PnuK%P@O(&l^DN#B7u%H{e z*Ei1ST;r}AW-;{LZQ}F0Upn>hpL*OiJL1jz>S4%Jg$Z@$koBjZ+Uv#eP3dUN3-=Z7 zWpG~3dX2oXBTQ z<(lY4WY@~Pape#e)%JXS{Kim)2DFXy%>`5={iX-8#sfmP2V#xBzNtKyFx!s5+7__c zOemw)V(x*ciL#&P+LW+h@oNn{e($+XR`>5*cWH(>5i7A@UO)Ftxy`e%%Ntnk3_mPt ztgp~pbHO{gaMJj7w-tlL@Y#!uCz*L~E$r6b_}E5z)tlLL{Z-vZ@v@tQraSx-lyh=c z`Wl>I3HR)Nb1zI!KlqoP4VMG1M)5u)zkBkEVYJ0`pSM`zShthzD*H^7fRdzHglSNk z%p3ci63_3?zEOF2YsReO!`$V*TVwAsc4*V*=pWd0abmZ4*Sp=Q6!i9M`qnlztFR&h zW{(>Q_p9Zcr?k)=dE4d`$M;C_v2VGmdOkU;W5HB(YQ1WCAtkirXzbI~W*VMm_gov$ z*BdG?*REz3?JdkZQz1I6UAdl#Tqile8^%vw_i(j8?2Ji;Lv^{JE(?saOS)mE(|{1+#x=&c!p-+@ zZ9Y@-W)=GFjmM}hAE{G^GfxaU?Z8MmW}%*Ri7-Ws(-Ads43g?@15YInIR3KcJV9TP zx5Y#7x&pfN%Dpc`+-Eupj$3$SFUQa4NnSGTjgab>9i%@mwJYGBnIPY-;gh1O=v{hB zzI-12936@e-`KZB?xaL4EE8F^<9_VSnzjmAlYIf>@WB{ zx3#}DMQ8p)i-d-uyT5<1o43?8m*I!Z)wt4CPHWo>3ALOjow|0uN+NZB#2Sh?EvP&T zNF%m>-TUs-tDP%lUeBdFhIgE$Jl;qSP+`lIMcas`N(OvYvONBOOa}gs3ElkM*O}?5 z$?>t#;i18SzAwE!pFe%<>g;H5Yi(|BYHX;ludAyCsX<=q>gpRB8k?G1THD$?I=eo8 z`qcfor}s-=U;n`1;Lz~!$mrPE_{8MY)bz~k*SYxxIy!oK21Z6EW@Z*vRyH z&hG-BIoR3R*jQOvSeTia7#SHD=;`R`=4YoT$47?;`}=x7cLS34wwC6`hPv9CDr#i~ zg6UKAQ0I^78O-b8~TV(XcJzVg*o)3}Xn8Z}kIudOo%{*H=->O7Mj^OnzQ&US2*1 zTToP7Qd&--R@XJqfV6ikN+%%d{tWaWV1|I4@yY403-pXkEC?4+ab_k4`i1$qxp_Kz zMrKwvgdKJ^7SKvh2LjA70dvfN1L$F5WB_WW@^f=>B~@+x(+te4tjzRN{p~fR!rY8x zR7_-8NN`Y4a7cJmY(h$AE*4)(rq(vJw0C{#LHOwV((}2yySwMh!0;%r0@j&d0GXeM z51@)^Q9nBZ3Jk%($jpM^`38r9iG_okUtopc3IRSYR>t{>p)a4>8*9iV1vk{r-FoL7 zi7sz!Z>uZKj`p@QegEFX($2}n#l^|d(b>(*FE~6VAvGI=CskC{);Bb@c6Rp-kByIy z4)yhPe*%IQ4K^@5K0SvRYO(4}ENmRyy!^`qmhtm)aj*hWizcL-9UuJC(>FTL!n0z{ zhE1D9gao*lX8JqoDMeYaJ~sM;1*!SXjH@JMWF{+y{9ZE z)=i7^1Wpr!4cqS0v|_)8?gtYSBO_x|OFL(GAOFCR$i!@XMQsBJICFDTbNlC!uMA*z z`uW)z+L7+r1weze5++s-F2rwXa6tIsGkgG=*jd>)xp}$S876vKs>%q(q}tE3%1?h6cZU{yZ>6&&tWo&B4O3@bxQn8Ixm3C&(s zSS2nYF1lW588^?0bz)n#O6=GzEqCPH?PvP0jU9qg^73=C3#&RmceZuUuyS!Q&dn~+ z)6LBy{xUy3F)=wkJwDJ`Pbnqf3k&h2s^*V~mm?j~%p9~L`njp`$$3T=R%Qme+2M}b z`aVVurq0ZOpv=mqiY$KFDg7;^u+Dj`}W!<-#ku**JN5SY}5?rzVGcyISh2s%jhR zDcGbC4+l$AV`FnWHy=O$pva`0g3`*m=C;nR&eq1p&Vi|~^Yn}iKH?`%({1QrZO*YZ;Wx1>N;j6f8u5vRZK3beC=)lIz?z+hRWF=Be^LF; z^Y>d2*Qm(Qy|d~IUo>=P6gmrbgztFCJ7g6?7T>ui5(b4P9T>EcAO57x(BtKO;c2%dYP zrF7ZM)6K%vPuHK>!D&NY?iU9_Q%gtREHgJhpTGu5c?E?N7q4A8t9I+1otsxcY))Z8 zenC0(%^gECQ)5%}(;dY*xYB}HXVVY5sv@IxpV>r@-`3GOB`eMv*5MJYjUtZ;9XP2d zC987t{&NfeG<+Eu%=odrt-Yn1ScHi+WLT@nXJSx!c6N07SP-?NuA-)?A~P(=KRVzE zyQ6hrQ=MrVfl^!7(96id%DhbCz|oUxm(HtQxpnWUiM@lBg>z^swzR6gvE}1969+p( zKQ%8gCORh4*I2IGL=f-g5*$MmdhBffMC~Zsszbhh&$s5jiQRPO=ms{HW$Skxzh@bk zoP)-e*3?mn`6+SnabDNPPnjt*#||+Hs=DS@)mBt@jSW#_ogBGp zJV~cw>WZ@-O2kz^+iS`+aoy0wuYybZsN9W^ckLdT3k@+v!_j$G{YZOJyTY~D$wPUe)ORPX|FcdeXU;@jyb8=L3^ z*R5GEed^-5W82psGPHbelT;jM<5f^YEFxFn@ofuq)gH%}^+cNo;=;vtv#Yxt3((uG z6B6kkhbit|qj2Kv!`Cm&!{e{eIS#B?%Tb-*#mdFE_4FNm3kU1>uRj<*(td7mUy=T4 zD(~|!LS5@Hi-7Rjl{_qT-575hv*Q^vjdRV>CPwei+jdTnc#M-U1?4THOw4qw>lH7m z?U6CdLfdG06=eEGlS)(4D;i2Ll>?&`XQ>g4m(B(0&NsIYrS3W~w>OPRP!rF)SRyGkC zVV+53d~yaJo048!fpy#0oDghrMT#j@o$lnD*b=^zw{AVPaBy@Fii(YkiAu;RD8!b0 z9LzpI;)!dDIQ1|*K68|3f;27m%No9w8w9(3^|W>d7|%HkiAc&GI-zvz$o^ehLIB*bbG3xn!4<2y784V2Ty7~du#3HYGoG`W^;-o>Vt=) zOIk0xP@tO>d~F+H?FJ-Y8uoMyxP!u zO;HJclvy>})Yf4%wK{Tix8inTj+Px87&v#GQQg0WRYdhzC;aehx{w`THGjd%JFBjj zj+1|-i0J0cTX*i-xl3ARpY+aMQadHKZxIz2Oxn?&%#p|B<8*813W2)DdG#LtE;D?` z)Ux$rJEiv=zI5lAzV0(!oqJl>)RdL?bju!*Ij})UV$c2q+c)kIjDFKm6XviMbEWn;}&UI*+a*V z9933PIjwTxg6i3e=T0k~IDY)l-rdq`qmA?SspcJ!M<<5H#G)c^uQd83yj$+jnG2V0 z+`acmSO3k2_wV1lG1R$p_r}HZdpLL)`}+80lusT#bmH=PrAsOsww_?j4`>nPW@l2% zGI+>m?rdZk9&Tr(e}=_T$KlS_l`f1d?Dy?1Yztx+5!oWOXTQ?93s<%7YCn4L;PC@3 ztp_^KbzkV|>gwFrQdc{xte|*!D?435_Zkrr_evf%4!Y)Adhye@pXlj5*L(HugR!ZZ zxuv#veWy8^1R)HZn0YGcz@} zv@|m{HhiY7dG-A1(-)zS-~BOVOlZ5Jyp){mw*B`_t!%6;t*veB?Cl*K?Cc%wVcutL zWp48N+3P1V9J9w2PMwvPK6L)tje9R&KDw%W`-6p(R^Pa^hVlKwZ-V^qUEwk?eYA-* zJ4%ngS~hx9*?Mq;!ntb?o<1`G^_Dj9aDPWR@g9-cbLs)=kYj zI*%V}%dv@^*Si1mrT&L^AM8B6ygWTTJ>j1hh=;p}n~Srvy^WQzp^2{YF}2r^G%jCK zIeSg#%?A@>b6dkF=C*!O&K3@qZ_WJ^A|kWW?Zx8*gwJ-dkXN>%3P1NUD?EO0ZfRv@ z3##3{yuJMb`~w051N;MF<{uIq9O&;K;P36>;$UNL^6r&^-qTlajBMXa2wpX}arFWa z&K|*`A)%q6AtCS=6c8BT=jZF??&j)fV-Ci%buf2w)IE3Mwt-?yu`=F zqvGOXqoSgtV3789cX6_}u`o3=H8Hbr@wYm9$UHbSI3g+{JR%N-Ld8Sc*r>>;h_JBG z;D7*MFHbiIu$+^xr(Kx0m7$59?FTa_TelFu=&UgBi14V4bW}=aRt~0^SX6+`uc$9b zi}Q1ZNtUZmU_ewn6quBpoSK@Ek(rg5k)Dy6k&&L7o{^E3l8j17LPbYKh6Ve1d$~F} z*xK5|^xGpc+2M>{M0!GEN=jxXWP)57Danbb_}JL!2v}7G_;|XzxO#bb2Zw~kMMMS# z#zy-EM1@A9vl4T1B4Toq6SJ~2l9F>twbZKmx~fV_c@-r$Au<|P8QHm5EG*fuSS${Q z#T69bKrs3Fx#-;7Tr@f-Gd(3fCN4H2JTx%C*W1U-)62&%G(09d+5VPE8a^L#VKJDj zth_vQb{13uffOAT9vlcM{iCCz;$l#F8QF>P=n^V9Ck;!gB^Om>dWA+tr=;iP=3`14 zYO87}l?aSiN)oW)s^LyRUkE0l@;X>U#P68r~q&jG6WvVN=pdE_`)K50k!}HgTumm zVG*&ktcpygR#s7{_!K;)w5$kMfGaF00Ez!q!=SlY<6lEwz!Z$B3D#Y)i>2wR!||%L2YPlsVc9krq-0<%ImADYbvQ!YE>nI ztrFrOkOE>K0EtuvbP~ayrHCy{h(uB;iBe9fqLRs!%DPH?VR2m}v6NhjFCr1~z$Xq1 zu9Tjho{^eS-rCsm`C}=GKqL_>s!HsHliiTa2rqRMk}wGU8J53bRwvv&q!d^qSV% ziZT+Sj0#X{t12iJ^28mJCLCmTKav+E*AY@by z%E99aC7_T{Tv|o~-zQTkmDK8n4Evad%KXfXtgNDPGLj7Z4=__GmDME$zNy1Y&71{FQ`zVoC~dB@}D{HWyz4 z43z^=5+I|1Ga~%fP^(Cp>CmO+2796WV%nO>fD!IhR|6<82NJe}F{3oExT>O%Se9MV z+)!HzO{Ai!tGTwdwUrj#13X~1`kI<*1Q4)OMj{XhfTI}x1Ag$ugkoYzX$ih0D6o=1 zD8-cGuz2VkONeEVgC^j2Q1PlVXyr8p$=MJvhz*VkOs<1MselNURGKmCiQL5|9l2K_1iAmu;zS#{BQ?083{eY+j z>I>}|RDkX3DMScnHiGZgLwL2m8lQ}7`q<_+T03Jp~m`JXlIqs86f>p z84Rg$6GL;4zMQ%EaJQiyAKc%Zj;NO)37V{=6r&_j#%B0R#dK&DU-M+3iYX#)tKI_g{6YbqO?0T#kf z3rIT<)Y#J80__fIlh8?4(1rk2K&roz5+ovo!(ejInHlH|Tz+nm%OS16l9J4v?Cb(; zMp9xh2(^=v_yywL`0_%8f)^f(DJI0jszJA7Q@eAS;T7f zO)YJohx$MF^mS6m4G_0$YH4k0Yyzo=(0OA6w6*#g#Ma0t0#zv?!dQ#JOlphDa$Z$cl~4DXD5Ij4NoU z1_ywy1X>EM7lA&c0DO{MQB~JIFf+eEKR-E8Ra6PCUyF2!@Ut{96L?!q9j%{0x(I~X zQc?+_5MPYN=453hrJ&*yqfw}+v@~l$eg_EG<|Zd6pc3EU)wOv(Y&j=?MvmA*o=X%F-e%sjjN7J};eIK`e(J4dyn$A{Jo7v>+ulJsVv) z0YN|}2Kdba9n)xeULh!i!H)!e2aHrO8$!lX0yJ=VL0WqWv=^8j72sf6l$x3l9}^bt zA0F)yY1wqHn3R{5mKqzELo6r2w19vu!~ve1?9`M5R9r}WNz>;~Wywh;)KYR4siX`# zd_pmFWCd6ZObF6blM-RZn~lU2m}Fr7|MOHBhw&&UG$a{w3)la~uzB*n)?1PA*1x_XCcZjWgt zV$%YGvr6%}!u)(}F5=3W8EMJMNid%d3GwlWz}1$9hZmLPWAk!hHjK_lOG^P-5@8t- zifm&bi<*$&#L8w;US>uPj#O3O`l&80JSjan2^Eh@N&^y8V2YjqQ*=Nd6%`W;5|2tu zP6b?0s?|U!y;fw6d#L1#l*%02l>0XIa#|o>bs<8zgAK5mXq))p@2_Z;J3hX&RY!J%QnVPPSmu#FTH80hZ{OIOo(@821|F|x38 z_VD%w8eCmnonR3R5FG#ntoF?ylK1Z2+c$4s8@`1IfQiwYSFiN--rD*Edbzl|!AjZA z-o@P$wmAHKe7xOVogM6~EiBAT%^*l%Zf<2|Wn=H)=;Z9;2B8yYTT6@gCbloGI>d+h z2KxK?`}+ELd3(CL!cLMCLW{MfrTRIw3zsx*KhlSofT^j;hj(uc^&UNZ4$+4XZ(r)% zzoVsf>!#)nO-;=kH*Vh4ym{xIwzl^D`}ZE|8W?^sF*P;*U}O%9czY*zFLxJbSO8jE zn47$P_2S86ou|6G&-Gx#`t>VAh&4b>j6b|KeEIOD!LjZ7L4Ni&*0zog5L&P>Gk$Am zsQ*I$`NN0zwKT=WwrtzBLu#LblFF%LhYue;dibEc>^=qM3+ft|&YV;_e(c!MLyGe9 z3I`7#IehrY@e?OctDI3id+zeJE9cekJ$`WK?vrQtwDioZtZhK70L=T>x=^h8<;$0@ zT)lEdU0wa!4b59xw{G3Ot##|p-RtW2E(^1(+1VKCzIbEw^1(yx8yeRxoIS5{^vEGu zX^3J$teuXYnH#pKkWC>zE>3Pvra5{}A+c>+H;IU>6J9MOEG)EY<*GFz>tSm{Tw;f$ zw6u)ee#K)-Cr+I`r+P;1(%HkuZU7ap5Tm|&`TX%c&C6;h4=KpY$sSNpP>`2bJbdKH ziBqReDxExa>bT+wHE9NR)wfSBU%7ts&NbCjC-(2zvr}Ab{VD-IP8LSGujv_Rd>S zOS8Zur*EnrK5#ZPRl*y@Hg6Ue-?DY<)}4ES zGUXG8>zXVuUNSfsKJ^du^^Z=@EYLGB!&Vz77w@u_>o$o3Cu>));OAtT z?*G)Bpo;|;8lRS82kLa4U8#eEhmOZF+TII_9 zm#^QOJNkshB_t&!qT*1=nK;1K{%LS(c4};F7KU2b%AWnwQcc2TB*eog6OBsC&c(n| z7g<|2)Hk%YH8+3kt}m+_S(qB=?W`u`L^*%Br?PL`h83LbtPAbMnMpCvrPj&c(S7#L zDL6ip(8a*THbO0-cEe^Q&vHKcPAY{&s2pSy6cO9J3F4>+Rc<_a^})>6#lyqZ+1|?3 z%+@0?Iu%QV1roKAOvK~zvQlCK9F3peQCB%~MCH~?Q%h?b2d_{F!NeyfBZCPlB?nuC zFGMFt`Z-xznChOB*~nJrX<_m1^1&k~PhB&z(tJ6gDeM;dVBM3UL$7RXEsQMu^6Oj6 zQvzJ=;e0ShhzjLo7Zk-F?L_Ntwga%r=}N zs#_f~9_(Tp#gt!L7@GxC7g!j+ew}EDx3!BU);0F9tlgz>T=|%c=xPD3*?M%Gzs2pd zXI164?Y(UunhqPbJOaWJ2TmN9+qOwua-Z~ev5jlEK1V6;v8C#GJX)7{&qRVKw0)Pd z?hDy^FA_ari!l2jCG_#$OMbQU%%8oQEE}d&1J)ZUm}(b4-MXi3g;mNMx0+==?WA^5 z2A#$o5-V1Tvd$59EIV)E)$%AX%E#ygUl!}u<;KyeVdiQQg52EflLf9fx2MuE%yb+^ z&n}ZtH3>l%CfOX{c)&Oqyega8ly#i`P4TA=Vp2$8P=KdbSV~HWqeEbv|4RuDfz5kX zaWXM5atQBMloRKgm{_hBGRfkYSjDa4l1}`{vHP;#3ypot=O@_3l(e6mVcu7N=!90+ zSU^O|0j8t!Bj#WHSDe*4%%Ov6BE|*%+Z@h)+QPo zYs|0uaz06&6yB?P_wB?2GY2m}9~aB~@W&Qd3&Yx_vA%{nq=o6x0XSGRI5IXqHr)5Ay$KeYO>JGD`-aA*=joXM2yzI5hntg)g%J+* zEYK~?47CcbnxEWw-1yy^RTZ`w#pb-vFD$=kOkHtvB@ z@o{0E=64j=vrm5M8>eUG;^AhSYsZE-IK~fbec+wfI?cq!$^^$AkS-tkd*mPrKMxl> zGsFDkFr1|6?&%+yUSNb{Gn`!92ogBd#LLSKheDX>zfKJGb~cc)iT+l%WtVj(yO_MU za0yP#g@Z%`^K1el5_=SnpH@Aqs(SW<#{Jh;?qSJ!cp?Fl5^Vqc)VAfUOzbOQggPiM zEw-GYr@5P1RK>_IqvF#z&_X++gq)Fq5%Sl=RETcAWpG+()oLLjq1CHb3IbF<+7T-l zA31;^x~ajgx>9t!pPj)KIT5yAQhH>de_&W_3c7$up~6%Ff*@T(^gJTcr?pL-gHYK8 zupleQNeuO{dG}C5?bJ!-Gv_X;Yu>)Eqi<~G>>r&`L~ZRIL!5#M4oV?{z+z*EGhTfB z0?Stj!hpPLr63Il4;Kd;j7*S_1|5!F!67tOSf$QQ4t@g1#-zuG`ncGdy?uWFminc0 zYG>8XU(&esK=-Ywjk8x^Bq|L?2m(Y?O7OVc%#`@3&>(+bA0JQ49tiiRDM4vM>{4*6WZ}Oz>1s*TbP?&Jf}B0GBOM@0y6qt z;0m1HgF{|$es58bV`qay;H{I>vtPj-zo}sTKPC{j|34+LEdDPFviVHl4_h?OY4=OS*Xbd#)exAP5u`4<1wmIDaVhPcM8cfyT`5_*pu~uL^&}@pHaKF7jc$ ze-H%yjhdwk{ORg%wf{@W|Ck%O@`IT%2qB7!dHMN@itqv8{Aw&LY>xkXroIFEpTPMs z&!Q#-&hJGL0Rg)k{|QMyWBFY*AXrK(?B_&3eTUs0Xh}fL9}ppY{pQmDrkF*C{2>ui zDowss2t)G$#3}z}NsudVDJ-6cyxi!JU51{AUIHP%5q0`IZ4eLqqXRe((k;b1~i0fO5YjrGfbs z58~Rt$*-uEEaJzDiz$(uXyA7VF92;cK#K|gP#!ofr1*~IS3nB1(es*TR4B} zlt|^jx%Fa6KfVGMnxdcJ&|HXSImN|R0Z{UP!}Yz1{1FtbY+&*SW_~Vu(IXJDff(ol zXhO@E_npq4v;2UN1_D6mVK4yj8zd+RZ2X7eWU+z&W~QHu{oy-grU9ZMpt(ctlDsTt zfiyps^$i7bkwzNgi;9Zh$bov%JQIpnK(s6-{ufZbsZdlvTxc=%U&-@F8-fjxvJU1c z!U3z_ghn;3P0-}uBKbAJK}E>)4c))Zwp4<}+y@n*jNd#5yk)UP{3lSpqgYDIk`-Dy z;SVYgE;f1$;sLaFxO9#s3;!=&r1=xP{D)@xFQNIT*nb%Khk<_>_=kai82E>Qe;D|O zf&VQ7fBy{g@c$Ol-Yt$a zV|l-W@a@YVQ!U0kzXkfgM`4#r_7|=#D)|cu|0KzG6hFR0(#5ZfdA{BHlLG#(%fADH zoCt<(LPVAV_!HQ_2I0pl{i__`3#Vy^M=>FrM6gSw0Du;6ErLRB<$gy;OAC;H5A4ri zE>WeW06{VZP!4*ta*;?5P?s*^71+G2~n>A_mE931$p!VdD@QDcaX3t z4twM1-^%$N+Qk~cPcq~dtG5Kk?>WB#`O~*WsEdJbWY0kXFfD%j9`*g{8&Vs176Gj) z-z)WNZNGm&cJ)DW;a9e_$}bj)++Eyw`2Mz-{=4>H-+ztB)2{p&p1>>jwY#9E<$W z%BMm2uIab?OR)SCML%i(`Mki-;C_#0@o2)YX_jFB=ls9>j-+3_@O$L6ivFzWCuB?9 z{sZ=ZUDbaHjkfLiTZ*N%{gtb~*Rljdzmf270R4FTuW0`BH2;C3zmoLN75&fd{1u&l zp5}k1^S__#{{d3F_^5bZ%$tK&B@DxbvoYCqvTL$!PqyvJwmsRlC)dgD#L2dK-t79n z%lMz0*lX|g?1_p0Ukq+ZV9$J@1_?D87}3)ES~q-f_C5!fao2@ay59C~6(bP_&k=RX zuRcN|Kk-_|U)J)mj6J!@8?ux)hooEVR9T)IaG&GOpR=ZN+h2?(rwdYDll#U1D#MFZ zKB5WtWPw#O%!Cg)zAha!mB)NKwargT)2KWy8|RyGXDBCJR4x&Z@HEnHWwRKc1q$-D zW@FH@!UdNWLrG~j)+JFPx8KEIOXIZ^Y$8RZn)&2IORaN?C%Ls48}d~~YCN5b(N`(4 zLJ7ik?u{~^OVFKk)NX>798uIBj(^?(y zD(bx;vJE?BW)8tL(o8I(_(y@0*ZQW1tn@sxlT3?(I+zTC_Pce|Rq~U}?~yd~h24*} z6cg%L^@qXDz8TRx@s7tV*7)jTSoI=`%R+%R6`%~3jRRAusO+H1$h#`x_7pQd>5{B& zz=2PSXuh5T+$56msX(c?`|Dnm{ZqU9g;MIQ4+iy;u#sK^NP5?m@Hq{Hv+fqdo3xoP zal;klP}jWW{`R7KSV=8qa&kZf@$}(XN(1-PTP$J)C|C8N*kTlStB_&KhW2Ch014^f zjme8;E)j6@i3P@XXeN#wu}qD94R3-R6GZgV zHnN57obZ-fH$~Z*V``BD!zaD=Y*k_@YYB#+hNdnz| zmR1$95^Cv_|F+vlckQwb(R_!wYJv*?U}Y+yLyy!_y_$8+!!kC4z4I|q9bNVO)syA6 zVdH{%;5HK4K;|BzV4^;zIm^?O$cNAapqnC>u77=uO5^;TtUx9*6Af69GC3wI8T^8~ z)wIcv^<=P?=h0m?k1=T&4*7~dNsbDH-uqL6Na~3 zvY9QGqd*1uJR&6f5I~lP#^9M|^ByDu9!9%GS7EvqTi_|j%D9v0J}QYjNLN@-p2axM zCvin@>Nm%LNi@(9Q(yFY0J&TAK>6Gx;;iPVCq!F?rHu4FeWaCTcfh9u#AGS6bF?Q{ z4HL=p&@o10*xvOk%KAgXzV>1x|NUSB#B)-lnWJ)KYbqTKWR-N!rjgN;hv3A^ELKAo zU!1G1))1XlK1<=r>#@i6&CqdMy}9Ge>1M^?E6nRnZ(Ws8{cW=5x`*0=dq5K%`nc2) zdSSv8zMka`+f;B9FYZ8J3eOwf(Yhhj7aPAh2?jz~7d!rp#cNm(HG8%jNkA1@-}A$^ ztafA@PJqEO2^3G_YSc8L{VZQpu^!&ShZSuV$6-(#RXzfrGm+>;)vlDUq`;u>z{~Q|!2<(Cqf8UL8X@Pr#u^!V^?=DvRn{ zl#1a)N1<5=n$h2ybHQuCT9K^v#bFZxoN53`@*8F9HQzC!geI2 zn;UXT*+FqJF8SWOcW?FO7#MuLjhSLFGc(_vKU#eM3yKt(s2I^FL_v>@8HZqreCJ)1 zeXt8rk&tj}KBPzxj;RQ~yor#I& zBKWICU#wc>Yvog3qf5wp!k`UA?h1hhGmS`Tk_iY~sR~1;EFsDQa3Ik+)6l3(c~=by zaj`Z*g~-y2idp0&8_ zCLO$zR3dmM;o|pw$t#>zfGf=#rNJ#ji_Ng;v=43-LT*H?kW}+1` zxU0^hKi8+p$=z>=w~yvMmzV-Rbie5bli4h7T}kzFBmJ2MQM~9ELt*95XU^m;qAMSZ zmXf9Un4|Mq$q7R+`J*D9YRrJyFJa$v9J@Td9-$K8rt$Tfk1I^ zxsIrjg$@|Q`(RZ&6;6@%93iR4^jU!ms0(d9f!v;{nIDVfYtk-S&4ut+d^GxatJbeb zoYsEkT0pc$2+IEQVs~I)E$%yv_ik&uRIKU?DE1KH-uUSq>@F`v^5skr zJfPZefyZQ6DQHEv0f{7`v5!fl<6qy{Si5DtY|G6cyOwX7fs}&FM>g|0HeufaKHc}x z!J${SN2$o_*sx4>)o9_O4c}xVRzj@&;#-I_xl3ToOb(4Rf~?;QTyqbvdzX&#CYW4FF1E)_68psD(aq{exUgz-PHlXF zvGc(horydmzLtiSzH2MfbhBm%5Nu(kPi9qi&|!dudwgD#mFpv)=!W3?s%>0P)r8GU z`+O4;!S^(gZv(3HOLPw_x~Lv|ZJtTF|l-GGZWogf7X+;CmkmI(erm8o%Ypf1#pz(jS)8ae`4&HZ>MS z_Ta=zo6b89fk>b2%wh_4yLagwc~URd(j>3}GZkr%s#w>?Fno_t`99y|&a zvzO$#Y;}9Uj>_bUk1}QcNxt&@QX8#;!0V@guM@L2!OjHYNzxra&^i;I*FGO@5=RXc zu^<>;epKft*LS&+AU14B7Eu+2R`OHTnJGyVAQOUi%XE8Z(mgf}W$ovcyxVb{ZP|3A zy};NFC7;w#UE?}WejaX2-Y}}Dz`$_gZ55S0LM4Hn1;>3bNM;?FF^tb^ZX?j$_Zo;pfAh^9@7L7nLr)piVHNx#*hc%x+nuQ$c&6^pOUM%ijc>#D#(=a%tcKF)gX)|Y}-JuP1;qnDPr@>XC7&mb=3KNTtZrm6qfNYZ5 zd!f~Vs$vi)z1FXYTw}_g-lL}`w_Wz93ddIiqw9;&^G}u6BGPHXU-=aUr*bLlq7?;o zG1@W;vug^HU`#l8X_=WDR7|D`3e-}@@{;6Ov#AF1WM%1U%MlsI*2h2wutMO7Lr^<3 zY8kqAXx^t|qB}XFv%1grn#`jBEpq;Cpi1ebjeo9`_`MXuZW}#8M$yY|O$+lT4U+&5 zHXZDUUb{x4V~1(h9#$Q7ytCX|8!2-@#8ux?dd`*HHhwh&iDgcOM|qpA%bAd{8h^;~ zE5<}+=}rQ5+Gu|Kdh8RNuBdBb!25z1vU` zcbzH(MjgV|c||N~TZks=bRp%iy3mgHfD4vzC@x_ps0PV5ofGz9!Gx&fplBr~1zgV=lTeQ-;+V>(GlH+4DJqeM!rr!k9 zTnsgfe*iSezzCQrxcX3Ld$5JTv(A*3Kfx`)c922c{ms7hv4ERJc-gay7D;c8@&TRT zIeL?`=_8ql!JxcMr=W7%OHyq+!QW*zvxbSEYL1|Xz}A!Gf)93B~h3!*ON z%$=uzRh=}qC7C&of@!@p=MlBVa%uf5)qbeVNlhSZ$3{2%!-SU#d!+Mmzi zj{R8h+%w;_r(RK!s-GIq`>+qURs9i%=Ia6^4{nDdec5`STmQw3XuflH?0GVXj2;!iUqU82C{dmkPz9?oSa2!1+3s{>*NM0h=_~UI zRU~1(*={ITLkv{wz**PAs>PCLjx(L?jg^>fkVllJ(3YCdAl}I+#XYqx-%zu*7EYGe z^NYR17bX|NFtmnTOErQOy_nsUAgI>4;@#MthMIO`Dt5rTMJqFS+EoRUb7|$hXR!2v zsBQO8exH*VtxL5;Cnz|6@`i(w;)A*7(RgHK$9y;6%_96FBIU|-B5S@ehoaMOTF*P{ zMykxZiGW$LakH};AO>aIz{+$~$iyaoSFHv^q?T|uyZQvbKn~AGq*g;A-q=S zTDUJAE85K{d=LS8{v_Jp2|AC%>4TH@0Pe#{9DS-5kvtyMkyIfpg?Mh^kk#ACU3l|0 z(cu>uYY-_kYAwd~GW;OiY3vo(Q+_LW7-UUuosjitPG<}`E^!79KfMAC&=e)&Pd~4w z2<#Sl56L5bCx(bCL881NMK$xSDt$OU6u5-co!Al*dh@VWWr4kUyDk>U0?0orc+jTRyyDj>144>SY``J&w}AhCOGAxH%giH@^11Jii-CyMchcj5vxGBl|LC49Aq z^+*Iw9dgWR%myLwy#kt@wTFbEz;qZ%&V{S~?!7Yj&iENa<$siis;-MXKbsZ5s#ONiPT~CW^kLTwwM~`GKO*)m4;Hb9O4hX_!>+R6si$4k+c0 zM8iQ51rWfmlfxyas2!DW5i${OEDDe0^L8A-svG&`COX-&y9s{^~277RpIsB}zWueX%) z5GH~kXrO2a-dt1$`)wsaRQy~{C57E_%SW~sJN&AW+^*ncyYZ5I=xy4*swf;mw+ z&D{&~bA<#fR0)aN;wY3RM@bqqZ9eDY_r$@|n-?(@ZN11XE)GOT04zqgKHi zAeY-X#lIl5>cZ4Ed2g!3^B zgL~2Mx^x9HDA5{OH8ooe%W&Q`gn6gFeDjNgd?U+LLM8#U{B{-vchpt68q0_;UQ<1~ zYHgK#1t})2NV)!cqGwVs;d~OLn6m>MCoE4ytC|bXI{5X$_D>yNP{c|+a2ho@8hl5^ z*Q(RCN^klq)Nt}ND@@6{ON?w)D%72`X&z^Zv9$1lw%&-CkSxW~grjdsk`3*G9C%{+8f`b`GM+^yrQnzu|B``T5^?Jc;@5ZjAUt6885>Pvudz`c5!oZ^QY)%xizU(5?HBWgl6 zsV-%~fW$NpyvERETg?!VLsDDSWqeTd&;fl@=2UVQODG;O`h22v?RbkQa>$;$ssxHS zZ#Xpm#0YtlO@mX`&#d0l>>^M?!*3@x>bZoFdMQ%XMu(wSg-xNMOpdxsjgJ&{Ai7Z{ zp8)-ZeZZeM409N;$@3LqYYY~FBAe76yr7nxllg8I6vKF51tTOZh|>rUwoy@#`9Q*( zcBB|c@>oWF3ulh4d_lg_+0|gKNOGcCeF!X^2HZ-*GaH;rv*Z=~`ev-glEN8kO7&S6fL0db9uHjZU<_7Vh|dG# z#wKXZv=In-RyurV;{N%CAi{+5^eiQ8CPR9&jTSQ8p{uxAHEZ!Vy3~=Q+}2Hof@n^- z;`i~xMiJ|+Ic?h#C1rRxS{zKKk{3(DDpz`(?`+v{0NN2)t$CPbd@twCt9 zW)O?mH?KYZDyY8dC@2J{2}Obwx=&oMG;p#*@adI~Ty8L3#UVvP253{M8?NBt587Q8 zL;4V|x@Th%ltNt;dRRt?GB_C8S}2amIRpvEHZ|T@+|zVd5^Y&IU-M~G+xJDkr`?%4 zBxE7RrfwnDzdIBUCvC)B>F9TlKQO%3yHycebS$}GtA|ePR0I&SwlmiZ1bIgNC$Rgb z_in2Kbf{J*HLKjUULQY>u=~OtQN_GMF9 zbz=g1uGCcq_&g~sc?TKw&A92d6I=#FXbv5a<-AjT+!cW&&I=dFLf6du&tGO_9P?O- zEDd!S1^c7tpH}*GLIYEM+l<0Ciy)2<`d(wsaonh9GYg@| zmEII%B?U7Y%`{(EnF5b_e0Ki}BOR_4yM=g}4?Wx#2|VZyGSpx=Na!7=_X7R7A!a|^ zt@qsLE1HpFwG#sNOVZ6EG{Ht86cc$Ed>aK|g==){H*)5A0i5K?w`D3h<4Q0ma|d@O zHUO^hNY0ua#l7D$ObG+mVEPrR%ufwU^G!SbQl~m@u39G}_ZHSweG5g7W2@85U1Euj z&&t~t44-YS3pr}tlCC3DkMR~=md-C=Ta?|1gJc?3Xc02K42=XRdMF-9;z?a&+d0-f ztz_0z;qw=L5h)``dXYmElSD&o;M8}R;WAFY?5%8%+FmtNRYHQfH;ONPtl{;;TO{Md zScwc8lca+2*7^v6GHeHc2u&T`0U{j_M z&N$uO;-`XkWBf9A1~~h8vLQWvOQYNzmgxH_VjGpiZvMlYg18FgC2fPH&%8_72=vb; zpC(T;a>Kw?W^GUVlvEG(P)JFXau)uzLpgG8%|cfmbG?nHU=4uiDbctg%;f6D@Eu`w zby0+%jK0~nq_9`GL)@FHgdg^oE%sZgt9y~D;Vrdr8x*DvgOyFWU3n0m#b{3La2(Bx z2F8TG(b?@6BD`RrxCCzM2?}MXB-B36DJ3O7?LL)oRR5H|yNKSz-9&?|&fjhF% zF<<@cpt~#s#_8gro`A{V(kmm~dB>{n3Ixq&~iB)1gAv{XoUPKR)LQu)c zb1CDX`%$XC)D>>Ut8&GgjBr<^PH1xFvA(cV(GOjWqFcjxn5r)jeQO;_%?AP>@r1E3 z#NBp3RV?SC_>9YEGfPC30j+rVd_-bNHP*ywJw5zPE>;-=(m^_gu1kOLA6Lw<=D)ayuELI{~ca<$?UOyZ3DuUib?*u$YuHQ%Aq25yls1 zF1gQn-0c*f2i2pV3g#{AlPbl6UGB_Y?=r)xv(+h!hi2>B4qQ@J{bHrUY3M!;VgK6~c)H>3a%>kC28`*^$YMGa zMD6X{RcWjcR?l1zAE%$F(;$0&O*2WdNYFT{jFVb z&|AV(th1k!S|0d5kG{MNUhmPx#$!~fEj9cKkx8{^gx-WL7l&?i_`+wm5*+Xgi7c}(Um{egMv6hPPf>sW z$f%;`i_3$dqDIDWS@ABm^yas|B!}Y`2D`OLuN|6-WbxP{1cvp#GRidS8c35Hsa#o} zn)Az^_EcL=Hpfe=F`fTd#UpWx5q*Ew+<1H<3FyXn0Lyym*qj z80Pdcp8GV~d{VnQIa_{~fLc9UfAe&a-M+7RlB;O}JI<)ZVKBlB3BYzEeW(G@FJr2M z1?D3#BFJebiXs$?kEm_6QLRz}qDS(}eUr|G-(az2j6x(N#Aco~SxbTgM`pV%AG$k; zF)=|p6D_iQW_d;UYGHD6(dmoK@tB-SY3KcsbtA1L(pFfJ1H;_(!gG;tggFF#o7Nxo z|0?86 z7=Ji9;wcX36NXz53d0f`|Bl@qb7M+LHWMx!p$JaQPQxrMu#R+dK-0LyI zSM3YXq7aBO*A*L~1T=+R^iDwEK}~sWv_4za3xXE6v*WU4Xp)WZQbI|Ex1I~0nwSPC z^ao)K<_axoRM>RTd^VPIGgmDIl!lGyQLE6?fHqY`hch6?DZ4t5`?UOEC6zJjAdOeh zWoc4-4AZd=K%4vQNB4YUx0083qqlu%33V$Fk@1H0W}TTNdD3V!nB9$``^<*6_=2}q zGBn;AXU(jMpOG%!mrNiwGU!=YbRnVe2078Bb+5It!9*-o!A>ClrXp4S53thB-0f#Cyw(1|J`YvSYLNoYAq)<8U2uAPjq89k5DIc}ftD_UO z9ogJ~30@jyHD#y9W?f>~nI??^kub4cv7T=#yOkF9jhE&(?1T!;f|}n2ck} z-pix4$Fz(|xWA?~@dV!^8YS^-XykoA;>Ddz6I!NB=)29i3AqKG=7@IfnS05o)6M|p zh2P7eAPr#+G-pOWOI7qkMRpV_fm0g=jILC5 z?!|l*qkG3Lt;I#;Io<0{rkcWGqdk)wd|0`7=9M-GCtFWHDNnT-yBKzp(?0AA?)LAOa2O>l;I^<3W`p0I2YsF2yXq*AwW8 zMhp;J)Vowd#EIl7wUHtlr4`Gv*{(W*u&E@LTd=*6h86*lXSY{6&DnhRb$JG`aoza_ ze1f~JIzbe(+=q`m*XJB?IA^8_aNI(kcDeK{o^%tg((mD0_Tf>0)BX`3Ow+`&Paez3_WioG=x%REb5lb^wG~!H3AHjw_>b| z-T9~(Ycu6&)buOm@w3!;@-i%!WLI$=z||Rg{4n}k2wz3B9D()nFDZhP!2u(Jm&cSG zI~uwE@i-SErEYcVAhRn=A%mVWjU5rX^^C#v&0~791(```lZwM>TPvkPo!OL#N+n`~ zqXzLO-}}M*^ssu1Fo6djs+YdF-KXqAw$mAOGnnBI7mN0mit=z~QE%Up0kK|tKLyA^ zcFJA&t5O7Top}A~Ged1wsAZp*F``NToW3tLsr*O0n-@IDTyZjgM2s>eMfsiFO@Z72 zUY4Uk0?)5_luGt{UB)#gx?tZBC0mlcAblIPB1ya`AQ{68z=0ip8Ao6nu(6s&Y7(Qa z9YdBZW#nZlAz}*`-yQfyB`So2WpJ22uwYz^fO&mDvbXCIT@pYF+sJ)N2g5` z`9}=gOX2Gw-w=57-YE_C`VPbQCgSH!`Tgo!?9`<3k!^aIEcLS%TXN;~mMc@qytSb` zUk30fSg3O!iSjmZ-w)pkw!pwm3=`?5gr-a+4X-w=B{Q=m{~0F#&mb&jYT)aT0I9FpeS~0Dh^;%JH7H)Ev2O%Y z&$$tgx&ZzK@jm=@<$~U9PWQFaRF&1#HFb%|Y#HDFz+e{Fc8bew8992wV%GI4oJSDy z?ng4}#SJ|--qPLu4N)X~mMIR=6DSPR8zS^pA%EiY<*-KQQnhk+e|a=k=qZUb5-N0= zA^l&L;C3iUhw`rLcYIBszh>mxFY$CBbjnVX|a3JBkEhBFt&v>jH!JUB7bMV;|` zsl-(d0C~0y8toe#85|yHt4?y0!`O)DoidpiZY!^8KjNFr9-#cUh>;@|<7L1L+a}cv zD`XX0x=EKSibG|+_M3V!950|go!j4=rTXaQ;dJ)|NugC5=I{tkz`O62UPgxLF&SU!-8!}S_{TWBCSM{yCuf$glx=p?tSJlEgz(quIUWt9jL#OIdxF=`+D)K*)NgG2lF&n)Qj#87NSMS# z-(FY`%YfzAhqKjYUm88WA2{A7gY7RKmXA`V?DJxzDRT(o(STP;Wbr(*-^N$#UYqRu z4=I0Hzi%cJNK+wHyHSig{u4;$;NDh_Q^+UCIT?9z#<}<|MofBdaw{n1~-e?gC_wnOObdW!eHMspsrcWG3 z=n+u$ew7jVBEwwC>6DH(|0Tjc)^=X3qB)Kn*nJG@0JY!9ohWc92+BEn-usMJ2PFz@ zFB$*>1GWemkoJ*Q46KN(E<(5O|}|kxru6c<4K(gAWsN7n4|uQW(BvUyijG7 zEw0T!4E}2aeS;5oUW!(1bs9!tWj|xx;1?M)5*}X)%r+W+tFKa3x`k4ik zGIf3}#dagz;%6~(rxBthY9l}Iw2Z@5i6%nG?UI58l(LM~Q{xV3l5PeJ)na&ueVkda zbd9XST4-|YIElid#sU3fHf7ZDGN90mMDMAn4X1Hba|sm`&7m-u`YPg!;{_6)Xb)TTBa2eoUxm{H>9)7)}cCDBz za_6XOwlr~L@K=4CZC27^L>7giI*#8vM;==um7rwHlXAM|vr&RRhF~5~I~4Lq|3-CP zNU}^)wxuu-jjaIaW{@MgLPYJvHBe^P+RZ_W43|oIzmH9Rxf2Y$+c!nyAfB&>r!+0W zYTF}&7d2R@(JZL`7Zpz{g{7a}IHvUM3g(685ev7T)W=r;IF9;|Mvx@_ zct!t*9Vf4A5#qmZ9Dbb~PUzfyzUweb`ox`d6+wBX!HI?)RrjBFk&8Vcm_`g!ZdBu1 z(s1tsc@CdhwL_D^us826^cVC15mx7bZ)PK`GiMGh4?=9^ZpS*^55L;?h8JzluL&rz zj0x$7iWZ&frd+KUP;*pXD!w!OQyD|ykT|IUD4-}8|AA@QXMDi3#tL13KnTH!LH!Kg zLHfX)^WDTo$@o>U^YJ+5=D9`p)5btqjKmw7Jv3nhK>!n%{C$=6jD$+C0(`{S2!z0l z`{$v2kwLMn3z!P2v7rGV;Opi7w332z=$F2vkf)694-RRz;JG!X6mP|rG_vWP z=0s1{jSu;K-y4P|p!e|{r*+pXOtBkN03K1av@iWx{i3DJr=zE!HRtRDmB(OmIt`1Jc^uP^Yitcb$^B1NJBA1k zcdh3fv*3;tyCe|B#<@4>f1dAYdvXe=+MZW23jHOo(2oZe*UT1jlDf`zP4Wr#JkNV@ zp&{D}2Hzf+%SU&E)75J-B^~AEVjo*@!hxiOi}E`GmcbUM)1ffu)+qUkyF0e+<*)y( z+SUw7UB_0Szww6-d6vt&x2L(Mwm~U9rL|Y-YFTUjX8&rCa#K07Q?p>2-+ zjLc#6)K%fv*0ZmBhX2TJ$e0FcSs4zTpLSm?|J9mvYfPzbQSHf;aeQm>tJfR@SpVpr zy83v_D9hNGyL>8tvZjzY?=^|*J!+yyy!G6X^W?+Ycrxt$wC&?a2;aie! z4*8GkUzcYo3K{=3)ac8UcT;COz2=b}Y&pK$x5Qksfg?>LxsZ5IG*$eWAcFu`w%}je z{CC^K{7>~eG1VZ9WD@L=*FacAvR@dXh{C@|jUlc*ZEKK$_=rd9D|~d3dl3GcWA1Op ztslG>WAX0QGw^|lgX1fTqmKSowey5z3E-CI-f<#*Ns2HNdv6Z}-313eq%cCg7g1Q( z1wKn8SuaLS(pFoSeyCYKBz=BmkT`iL1-%tN_)Ma!Ng~?8r&*lR`>)kCdl2OP>gib@ z@Vk8j!aM=ZZeM^M_4yBa7h(U&l{v*s)bFwJ%XtGSH6)A_gJtWl2XXIz)5)zQ%nqXN zeyMYbzYxZmj`^5&-ln-f&E&Ycyd}TA)`O8(M4xdPw~Om(h*_B}=+@BkUHnt`?sHrs zc1~5rE}`%T8eK0s{ND+=pT>{jOqFCdhDyi0{&}Ks21`rk^t<#@^DQ$5Pd4(h^Cun_ z?Vx(Oya5GR44H+!|M%9wHVad@N+v95r$mjEhN>p=qU{JJRqXmP=<`{jOgOHDf3z|Z zBmW>7)c4cRb7DFKFtg~lan}udLx2m!@A~oY?;Call(-U)b=dsNP^nbB3;aTLH(v;y zg&3dBk(y@+mZ~tSGVA-$&`vD6&cOnR|Mf@-(v?AF)51REyW=dNkN@{fh7Z+j%74FN zWdl<_TnB!7)wm()(1vBk09|cNK$fehBeja1!Z@DVui+G!@8s_*YClWO=U@cNkvS5kbYW(tc{OhuKN1OGn+|?01seaLJ>s9` zyxSZ}7qKMJaR0udAUdFE1PYG%M4bs)|E#+o$PQHPo5B8tj6k;S=!q!Ex-NM+Wtxzw;Sgn6%DT^6`K{$*D7c-yC z1BS3YD1d5D#8XD36uq|USTCjQi~Vk+U|fUI($~AbS#msx^w}C>Mz@De-Jm7^D#t}b z-T?ns3mx~7{vUs7d7s~N_Xu}a|2}E`XIqQ**$%55G4@Ze+=Hlj1N$DEotT*3G z?))7S4N~;MA6%T|H4NT9m22bMGFC*)f@Ir!=W9jCn{b<=5sA;)9~OMQvu`NpKjrF- zg&A{1QiX<|`QN$7pe)Zbp(_5%A-*Im_rFD9%~ra*PzjTUVg52M9o07h!+$dmn z^(8&%5wz`(z=e>PE2_M01&7~Bc#pSjQU|K39@uOPU5XvN#qd>Z1Zpyg<2~`TPd!I; z%7Nye6)>MQ%!GtWnjD?e{5Vr7(~W#u4+M>Qd?DyCxZ&bdz2bYD-@{#&!OE`|vH6p0 zCfldB>a0OnKi6*5shH@TH2@f`NhAdGuAwaVh#S5tx~F9#kJtqByQ?T8gO1A>7D*3lOZah)vNWolOn@y z@Sh*d7G^VE6r_M^oGxvOk>;dSWGP8Gg?P$?x4OfdrAY7iS&#Y-w{~Dd>)Uf94rw!Y zwsA-$?o?&}VpZ-Bf(1S0keyC};8s$%WL^TIf6lnI!A2!v`rwKbv&AUYo1iUJ_%YE$ z(FiJ8W3G~g*|#O5J>m2?Sp)=5ux3aNz(|_P$VA14kbW$1><^Uhyn)Pb7pEQ?o!P^# zv9n5Z;{nKEw*M+(mKww&A3AqvS>GKQEr67XknB#IKh$j%|5<0N%6dlvV$351qsl*gPI715rNvXal?ALGUI_x0 z<79SJVhNq9!_?<{m}cFKx8X~y3hO%iDoCZGs=9KXcWk(&P$4HlnA@*L5H_aYvf8F288DM}mkl*bew12k! z@6>9qSB)%akr|>bS5LK{r=cHWppf0ygu}B$fmms znpI52DMcF=45%eoD?-~Y&ME|gDrz@Vdhhs<G42)M|*a&Q3@48Ao54g2RLjyf8}`QIBb zjektwm&}tnZIz>&O01!vjN*uxd94Dk$K#yg6b=c{9jSgHEgZ#;MM!ZzwR~eE6<5?b z!WRq6Yhw*1QU2>+zH_h@D8Q3Ic4F~ZI}(p(Tv#rI$=;q_!Nw|FzdVT)RlA^#+Rsl& zyenMFfIU485vwL)V|JGeNs<#n9LS!?>ld=9fc7Su+6f%=InU%b&jf602C2bNzo)le zex6^^DJ;0s3t!9T$NY<$LA~69+s8p!io>o>@Wu0Yx+e6f>0<4m`yvwAHp zszoBBn%3CF*mfth>6hug9No_ONpB(W`_-Y}z}jG{$h>;G4tg4|TdRblSRJOe5Y$Oo z)6<(#cmMa>B~~s9 zFAtO(XJ1D{^Dw66Ntd*Y>XG=8-bu8?bQ!-t-BNS^l64j?f2{^qr5>58J@;t_?}>>2 zHObn8mI+~?zS3oYr!a+bjHH42qr}QgHk^>nDksC^7>9oaDM*1g*hHwZ92)&@+}3lnlzPV$Q} z7i0I=$T$k)%6f#`#TwcCUrK!qqIZZrv9*I7NO;w(bq9dz^&xWswIa~;gi5L7b$zzT z@|D28OmcKABxzftG6mRkD}y(891Kx8Js3qW+sf=M`-@yW8?WiE_*a5btbW$)jp^#L zXa@6B1qc|!ioaOX%* z0d)Qc_a%87ds4}GZUMJ?G<%2rg8~} z2EVvSn=N_0SMVxknsa(03(3p+GyLR^wd;Qc7FY9n^w6R#yth((+G`f8xJk~uj&cU! z`d*rVXn-bSyRVy>oc2%5wii8^^dx|%G-v_rM?n{}9^_PO>ax+Q!ruq1f>XJFCoDD7 zCho`Fj1V_&C^XSRUggscm>6$vPDHvRL2fpE zm<_Ua|A&WJMH*^Uk-@=k2|pU8y%?;8kT?5mqYFD;mJOlzhw_>!S`~?Ifx&SKKhmL; zYT|t2HcQ3Q4QzFt+VtN-#6~#`?lwlT3oRD{1d2^SEv(0j67VWY;3T>+VU~-RjBwn5_WhMIOq{%0`Gwqn1R`vOtO>s1R0$=IHhwyV`z*^T89H^N z3ORC?1I^l~2%7^Abu8zBX47u+FP+wg77Q#kMVT6`Xw;axwYr1a%rXlAoUKajCi^fwX3 zU%Y>S-a`gsMU*5qBGFrb*L%>Zs;5up!r5r(HR5=IyX)Q5h#&XHDf}TS+p8 ziq9ivxb&+6kAHDS^`nDdh@>1MfgdHkYXPGwiPH0w72PMGhi1)8!M9^;7P1zE2s-Sn9{CaC0B z2P*%S(r{XL|LhU}kqCM1XI+?KiT=Cgw*#uLXwif5z}3)i>QPeCjx0VrqM~l+NbKJf z!a+B#jh${QSX@h0iwxYmh+(?#p-&&71%TA7%pmRuAv@vVvlA5CfTw<`-!bRcJz=~ z@3mKgZATEXaT;11EFo#OjOIq}{_q~H-q9R?@R4;TznZ{4N& z!c<@r&9%KWW~7Np;uXHvz8^+2cGOlAhv#lAlMbIU8{83Es!h&!&X020xC8&8VK=MI zzR;bn7mtd;2bShi2s`I6z$`2piO+g-m8Src#tcXn<5i8j*-f+l>c*r{`zA`S{ejFA zf}qp6uB{Q8uP~VScdDS;uSm>od$XjQfGbkxj%uV3%S3~9Y?goU&H)=iz$>2%I{&-1+R_deh6J6E~wd);eY z>%ac%T5DbFTK877kX1Bmg&TDH6Kigu9v3m5gX|4677e<$3jF z2D~oKGGkkiR$rM!m^YYw=d(PJLq-7rY-uTH^4-q-iY znWkzhGR=$=PvF1hHuo@u$`!VqLYDVpj@!!MiOEyGOLUnceUafouBd%M_BgCp;>7Qg zV3yk6l2sIBQn4HjFx%OL2V8P{!Zg~5wGy&vk=JN)TN2-pO4n8nLT(!@7!H@O23)RE zJbCAKlF=t3mzUuY<1a!6go&IEJ7-VO@s+>uB{f%2*R?SejJY1-p&{sM5NyUwp&_sQ zG&;aEx8V>&g1jUvv#es+GcoeFitjK?v@khMt7I}BF5eYId!Ah-d4$E$JOSbNHx(v) z32${Ka~$!m*349U;3c>CdhLcM;)O<@qf2veDl^;jEU84i3%#~H)Lyn1@Q;0Ze}tb_ zVjm#`ZO+`%l;07d#XLs}WxTRGhl#x&_^y6NDjcawc&TVZ+i{<_!UMXzEM*lXo|!0`5c3`5cxC(Gt}PnbDk@CV7f;f|$Z<@d#@k-j z<-B)t)n<2q*k}+gt>O+Y-VSW~NRZaj!=Wb;5u9#{_G}SzLReq7C{a-g7P0Qyi`Mz~ zhZ(*7qB&JA6)5cwZHOn&w>)tKYwGi2;&Ut7A&@=m7(w;HH}M(^x^o(X{K2gw+)Zgu z#`vo|8u6~0sj3tW1PF2F(hJL}@kxhZ_X{QaR^s~)6Z&gajR(We_Bfth@ z@~x}hlN<3X(lO5=E-Qh*0Yfp3)rspH<4{P3Mkc|Uv5D1N-$)bG$e|p z@vX95FC5!o-`_}KHTa3D@n!Tq>g3NeDh97s$+4W4mZ2oVbA}-yf$dFJ-1p{6T+xq$ zM*4?gGqVnvJYx=(@(UrJq`y_k`bousrEveNz>r1jW2TE;l!6bQ zKPFJdZr$c_eYbP_t;AYjfboD;WU>ySi_vCi9E+wV(Y|NqCJsT{X^KR|wJ%sh0>w+$ zOzGvWC$~PJ?}{Pq7>IKmkbLSYgJAI0Y&aXv%d4qlj3;A_R!g^UQ1f{xdjwa6 zw=}8j^y@r%-El2%e-(iZUBS`(0t>rrhHzPVqKw$$U>S}x_wqyTjHPz_tW8zidQQhP z+V_D|o>awLe*4WC{(6?UST>hdqKAUL8saPG&%Sk;C3d&Nwb$HvtYJf((Uantc`-|N zpfQe1Q%+B3kJ~KE3f*GwUBs^-Elpf}OpthgRr2<}%)8W% ziFc(bwJ%u=cOUX1=q_|$xezcRKbLmcL92S!pjrLPc;Zfi^#RHY7T2a6XJ6=U=h^O* zqo0niW74AG7mnL19nX1?X2jFJVkE5_TmJT@VZO&hQ1F?9+&oOog6#<<|iLz>=KJWtB|9`-q=?SH7RNU8g}uy#3r0)l+Aw^6>rB0RcY4ECBHK~~g6L&| zqq5rUo$%EisrM2Z$vV$Jc!gi}Qd%IgNtY|13sX<)CI_cqCVJF?Ep-H1yag=3e;{f5=d|X`H2&$VvQ}Tr_ZG z^U^DSwl@zf60Xn%^N;4dq}nH-s`7cBK|w=>dO>Ia*($B8excwLks$dOajtd>GfH83 zTvIDkjDhU%xxwtTixUV|u+DY{1Q`jHR$AuZyOQ(xt@_(}&3HLD85o8?BOxmhdX+zA z5L&~>QZHf_SfbrnY+%7(rB-L8j4@`+=8n~tZ_F^y z{P|iExfKMRVZ6=cm96o!1Bgr)^hu6Wn;FdVTXio^VcaV|G1y0!;lIwNNX!$~tcIQ9 z8jJG}jUSv#+@At}#H<;i%`51vRDU#RE7dZ(%o9z=;%qn8uh5_Ta^(8aLq!Y6S9dN{ z4>i?@xZgib&s3kP^HQJ)aVSLkp{d~|ZI6!@ra>x{w1SqnHU*ClMxMR=>1Ac&#ye_y z{D8cZZhY!=`>w`jK9(m5crF+kUVDOu$sxS@3C@~IOll-QGY;$}%ZpEXK5wvWY*lvr zEN;hkhE|m?N#SH39CuW@JPpf4;cZDg3vHMobsw!hl}rgUrg=dl-^9pu-Eo3%f32T? zP4lB{0e6#RH>tkUe&@N|k99E+^Vr!6(Z0BO!Rukjf+aCiQR-yMeZj*mgm*-Y1a_)f?OHove6 zzG!tZOQSKNYkFT=)S2a6qhNoP&(d9f-nSGa18o+}pYmkAIx7?*{#5_Di2R+aGlGj- zgGaYmf%kMnv~+g$09uDI2Z3+2I2v;Q=qg;jAexg1eqxSzb(kQbXVlAI?5h8)`9ULX zMhew!)qV5o#<$_;$ox3OSosrV9n(b4v^ZWzn>3JJF4FpRU*H3-AnSPGa?Ob(J!A^o z%)Ikdo#dzWdA5`5I54Yy`y%i)z3o0YIv9jsM^Ai~Qkt887!A!|AXl=B|}6?b}k~ zcpH6Z&8tU#Xfs;w+1jnwS3QOT;|D_KY2(Z$a<=CaznHiNl9{-=c;v=hMZEPmE=O^z znLt8d-A>GQX^W8-?WOoM4{d(rG?Nug4fS@k*f93mhN)QA{NecX=LH=(8N9vaHD>Lu zXq0u$*BNPx$_X*HwAbkq?u@#2HQP$?8>EkGXg|6juh>}qk->~rn74kx*`?Tq@9=ZE z>#SMEP5PHqlbq_c6CMrw$v?1&FK zi}@{cQ*)-$8Y`5%CtSTV2L6Nr_i@w60}49k8dq$ngievC4B>o?4|+YXXT3@}F#6h9 zULQe7{xYfR3W`GA<^38%GEcu z;hzF8$Pw*(#pu7I81x#KcPdmV(|{b?rNlg>is-_Z^eU%Qyl*f{u9Q7*_619DaZG?n zev`Oeo0{}ufb}f{Q3;&0ibHy|IJceksl479$*wrCn?*bHtuydYJ2a&+yE!;{;oO?B zcaS9NYMK`b$==p6wKXQx&vj*|$-6gr%u3+V3cMlKEIxoz2e0z<)+##}!F4}9#Z60` zH-nE?E>e!4E>XjG@jS`e+WTUoP>V_HB+~%~a(8=ALkC!N=Fuxe#y# z8*j!a*_LJ|OqQO$Z|Q5Bb*#s^x?;e`_sQLOKIaKJf$F|@85JYEY2z}>A$sfVq7>fA zto81?vZWcH>kMi;4wsW6=46cJSbVq4#e!XNDN^gslInOcx8~@X-yf9LY{`45r9y0%ha_beJ|4h$+2Jl<9@pi<72>fr3(;8YqoMm@i z-q4yKmV>WRxy7H_eyE7_K}+g55-^>lvm`a1$Xps$=M#xd7(DDe$U7@RcStV7e_K_B zhsztq%4UPdGuQoM&E;eJm6jZDEr~n2X|dtqC;Vlt?QRcE9xgexG4Vy9J(o60 zfoiQfk~#l7(Vw0M2-;?Po@~SJ%?`@)FOA6i&GfT{=W|PG!U)=a$8!pLG6- z7R8G^x58eKo<0cUxk#jlM{mJEZl;P?*&wfwF!%5gW4lB-OVk^e9rx?cn|K}zFb*EQ zxNP`1ZqWR;#D3k{Tfh;aGc`D=n>R@)kjXO)TPX?h4Z zd!E0;HBJ+KIojmp=rJDAI>n%(h4mImM|!k6S_Y?u-8(MOY918TrG9YT&;1brnbrBU z31$~TCMG@12rV+yxt~X}} zYA>I$V0t{&Y}%8kF@A>D+*1(FU32;QbefFMfE!nqjIYV4qHr=X-GRzA>yMIcVP#Uy zVw79;p<5^JPnRu(rtCyrW9>F9DmLkUKbU5~I9?IwYIr#F6F%DV!xOrh*F3@WuGKEN zhih~Q>pdJRCC=9DP#t$oh_|rYVx8QleMNQF_<^lT74pfUcDhp@_QyyKG0h07S{K$? zg@Cs%4MbaFSYrOJ0f9TGN1Uc$o`v8~S)s8+WG_gCv~`aViKZ_Giexl|9}CidCHyF3 zN})e0Za{XiHY+7F%0+He;hy0~BOh~?h&k2^+V(l`)Te{>FP!EkXi{*w)!(NqlNGr2 z+NLDK^5i=>k}B!+(8Deox*1b9IX4LlRuy8oV_iqIbk3~UCEg3z5V=U}{d^)Mp!b@X z?Ww@z_@Ls$-aV|2II$MD%>u?BSaf?iB=&yZH=t=o%wCSZch|wkRsZB%j5tcY<6O$t zMGyEq726R;qN$3P606Ayi@pLK4`|A-lNT8sXfQpHE8nS5LZ#&x9^t0VP^Qu$Q$YKm zjoWwQ@s}7C7INYfCg{uWbG)45JLn$2y7k_Af8x~?jFg0!2-J-as{L9esAE?- z(7h*6MSIZpD*k%iMY*&6W$W{&&CQLCjm^zZTVHl?aPdG%2ood_E`W-XiuwQ@Jp&^X z5Jm=iI$EfDDk{JRxB$37pgT&6&GpsyOYasJ-z_b@UtU@L@L_Fzed8y3A;R_;gK+O` zZ++g}__)6I;lt|6GNfQ(er|4l;obYykDqt&2=)OGfNkP^1bDbR+uJ+1_=Ln{6#JoC z_mh(n5#a8C;-Hpo99(UX&E^sb;#cFx62z_JHK?wZnHmshT4m> z$HSM;pElOlRw4PY3uEcs!uTA`+;t$Vi9?@o=`k zY~uh#fG08l25mR>%+&18Z=qm!;t&giKD<9T3K5cG%ct8K<^_ztcJA~xabPNo1)a3hc*5)R# z?RELFUJow$$sA;reUVT<{2pf?`GG?`qL+mS}P%)XwUnVFdy zAMWq%#SRRQj*blUV%l5aa5!i}XLnC;-@x$r^xMVvt7{vdw}Dk{ZGiTyegsV6L#7Gt z*H!?9t1C;heb}f@IYU0cNe;~slE<|XhU~&bYQxAdb?1~u}$3XSRR z8ycG!AI5fdpuk;ccXt;CjYfB%nrlmPvh&MoV2z0Op8g(0QDRI=8G3Slb`X~8Yj;!e zI8K^S5^3dr>*5$>i32}WS;C%?ym#gU+AjfZn z`izfH!gxYVT1NJ=?rjs(M-IMG$!V#n8CjW0(UFO{Wu-Z(8D&lIvXt25yxfEU@6d## zQ0E7C?^{2!w}1NNiGxRASXiL9v+e!c2D)0hH}09;yK7?k{Dqyhouiwlr>BRzn@2!Q zdR}2kNq%CGe_UBpNx%&~ubh&g6Y9ZiRG(K`RUfZ4a7muxO9?#`71@W$O>Ei6eO6rP zC@Tx+@slFb8YXrQ&Td}*p%LLhK3@J2@riM<$vFj?vEeaEF<#bBd}3n!9G*P2H8U_Y zF*h~5cJq;gtGm+!weym4^5;&Sl2lT@tgL(Ux{{R46?J7Lb>rvGuHNA(**V#H1zB;y zA<^vBA=*#(xQtdXnqhdGaOA7Nu=I6%kF ze_8~*fp^PDS6%alnT3V5leeFTql25Tzkgt8u-D6H&MuZ3G8Yss2yt_9G2wRCw9b)n zos$=1r=+04FX424Yg5>>!*N0B%n?pOu~VE!#B?lPx(39ir6)#*2m81>Io#n&&`I$T z5w*_e=Ha@Y*xrwB?VT8EE-Ormu%@DJM-{ety`^F0s}@PVG-pQakU+t zsLrX4t=I6Jty7hyZ^-Pf!0qw`)fU-y&inyGe-(cN+M;&J|4$(~Hiw5=paY>tA<=6Z2|0JnkgO z?(4~XV`V*hPFX|i)?{_>^~!zx%K-GmcF0iE3W@G&l7D59h}e{R;)(d2vyBHMNJ~32MnY4fu@IbFCBj z`v_>b1q9AYpXFv{rozP~qxjPFz#~S`Hm<4_Gqi|D$-qcQMNaUpzvKN9HqB(`aw3(q zrjnjlq_5KxFyS3~M=_Vs{hcHA^~Q zF({c@yN0I~H+A)OwKY^#H^3X~na~1Moq>emjx z7q-MtW3gC{XbyWbk?dFTdYh7NDK@%mtSQ}mI&6^u6>(PTjUkMfQ{Fy0x2$RS1MnV* zNr1;gxU=+jd4AvxZs&O`XN$Et%N;>8=lD!p!uKM#977^pR7hm0hM8#D+{ft!B&5z? zkW)~Smr+oVl#rD?bX@4P&~e%ki-WOvA4_3_Uh=|jZA^oLp`@m9%}`g{&`|fffg%qr zjnYF4qpOl)C&}h1sN-|rorwx=i#d7mDC0q5{Lkx+aG4%D`ghI2SuBw}Y@5*q(T6S# zum*)a_PnjA_|VVWExrOix=BFE$i{v0w78_Syu7TeoSeM$nbShtEC=bRXo+Jh5?m4_ zl8=5dmpFAv_NI#g#~J7H*IPu)+$V%ii%4D7zIpeyv6=B*GqXE4jjo+xV0V6Lq^Yf; zqIywMiWL@=m0gs7%a&SAl#E64^cNh~!x_lYM{9T?^<a)-#5(}%+d9k z0!}U|6*a>V-cu4XGD>P{n%8gKym8~Efv&c;ioB%QX+d5NRxWD4YfTMjQ0(mL z=H}_`?d|E|;bL!Tc1urFSy4_>{Jg|DMS-yv1~J*Imn5XliK;vJ`1wJZJiWZUeSCd= z1N?mbe7!u~-QAqrz3uNl%*iRpPYCjb9{Ic5ncQ#)iOcXfA^O-iIl?2kw!*t;{MrL0 z93NzU^9xOC{wrs>c;#+egVoW+#l_j##SQ574G0Vg3k?kq3yp|~h>D5`3Gi`$Y4zaV z9ephgRdr1@qkG~9CGS6Vba8Za^9qhnijR#94G9Vg4h{{Eh>VDcj0_JA3H0;xboC4N z4@+;TOpl9?2@j2mjgAfri}H32iOQ|XOw3M=OM~^aG!Jzr%5*pI-r8ZOcXhIMb~e+w z@8Sz|1qFqMhXZ|)(Xp}diODI+DJf~`KvI(u;-kX?JY5~1n46lI+`4(^=0mqDf7Xxmh4nd~95Nd_qEeVq$!Jd~9@7L|BlwcX)b9eIo{$9vB)GmzSNlVX66;^F4(_~PkPTN_Jj_h9$iwlM{T`DImAz{@QyDgeihS(zCb zncycQEhPo`GBKgS@ww%2Wa}`hFd-!)Av`WUKCL9Dv>`XK1ct=+v>=+{h|bZ8(XrwF znc40(SbB6)RYOrxNkM5vSy_2Sd3kw7Wo2b`bv3A?x)xlksw>OOiVA=)n3fzD6&e%( zti;vT)!E(4J31r8F}So5hG>B!8tdw6s>(}Cia-nU3-WVwvNO|?5@MsnA`9vo+Ioij zF{s+grrLs%>f*9ySZO0XzkXt+9?5>S`;?igPluGJvNV6&V&15*!#592ygokY5<@8;cwr z#-h<}&4`-n`nsCxs>%uoRzYrdT2f+MTx0?a(={+KGSoAGYR0~rokGJg*r5)1UsC}B z(Fm`tZ)`!d4^J(;8S2Bd_e{TEdes4MMRlOskR2FQM+X|+-iAcB0Rh)`@YC9ifH&0F z)>M`Qj)09M1Ajj@J|Q_XJ-e`|5{}GIY3;*wp}RU!sHO%)QvxI`n zZQZ@tp{}-`p3dH`PM{a;exQv*2f71|YHtVl0CTXq+Um-R(vsq${M`J4;*#QuYVZxn zme#&L6s8f@3Pbm{wYRmSkSz!Vq6x562DSm&nHi~>$$2x|A3lEEz`?~?UiyrSvxr8Z zTQCiN#WNjI=lLMy8HY3hdPj$9_&D0S05Jo*VEYvHZwrFx_f%S zo~El4g8{ptW<*mX999pj17-rcunCT6ZbM`Gy1TLcgFS;-I2wFxZ)t9BMnH%FNfjl< zg?R;e`8h>n+t5Dp^_%Ij*)77YVbH|ZmYgT?!@ce8=uQ*{+H>}g%uEe{552uT!=pW2 z-TebS{TO)X5EhH=1~7V|OHWTI6igAfAv&WNRz1wN_+1x*grs)s4mW_F=KZ zgBWDn;BXhVzo)$!-QLpH0_+YL5;Qr-YhR-Fkr*kH#~r-scCF)%Y7Nx+Joun z9suPB21kYlC#OcRScssp{?5*h-X6?QS3PPFJJ8?P*WC-eQLuRiGC0_e?dt`Iz}^qj z+0lV&?*KR;GXtFpXzb|f28?!f_Vu+QTMMfu-we0aG(!(jt*y;qP&75Qv@~}OBVpax z!O@}a+JdsWhT4kq%7(_ms-elD{$9{A{r&x*n*M$)=#I_~6fodcbVn_$Z?F^4Gz2j8 z4`BO2E-XMZ2r%tt>;{!$cC8AS7ceO>008eD7z{A8ZUDZg8(Zp=*4+j=w6+=n(oqnh z?I3@5Pv2lWyr+K%1SlE`fCV?g%F=RSJ@X60fEv);K2Syf(9qBz=#Fl5Q$rgXfvm}@ z?*mi}4vdTe2!q4J14F~$Is|Y7LP4hidN3UwZAgFtzyXz^zzA$_1Gq39ot>D@_D*<8 za&3EUb#q&DNfl@$K#lGIfIefW@0O%cSE2?N}tcT^tC&yL3oA2)jh6BLz9Rk`u2m&0CwAUlC-SBpFRSRIO4GwF>48Iy3oERS+1Hm5%I2H>U(%S=u z83tH2nD{_<0g3=QfFTfPXzxH_P_3wh*v{rwR2{Mrd<(h}1|kp;rvMEYrro_gef`it z9BeMFs;jKbN=S|_8UU^BABIc<^aEtJePHAOF0rU)G!~c@rhjB;bO>EhkXPD0K0H1# zIXN~lF+MRiIs{n}7FaYeH_&I_jC!}z033h@7Oi-&bb=`b z5-^S-`|Ii%9O*2}Ey~W#PmYWz9~>J8fg6Ak*ib(hTF^)aBdKq2xTgbzqDBD7!O`)F zfgX4PY|nFdzod-v_23Fcm{HQC~l> z6Nolo|A3OIiLr5P=fEo% zXeUq$=-Zot!T28nHBL-TPfyRyj!#bZ_W`p3T{SrgkuyF4OnV4Ij0G(LfV#Q?8Zg5m zkzi&)AetK*>uO-tU_EIKk}!yCYb^)MDXhLEH?yd{7sRW;vIu5SXfCR)swrvIvRbG^xlUWR{ z1*rDcW)O>PYHR>uz{=vv!T#3Hj;6Bo^l~_62%gn20C02yAb@Z%Re^>A%G*$#*ujyB zH}6+K%yM~ov9li2-`hV3&CSpcU5SSp_DpK>1U{Wg2Xu|@( z01Z}DXt1JCVBH45>tP5KcJ{*;oXw@Vxy9v`{>u7}y=$`my;)>c%e$E4RoQ#6QABESS#U0YRFoSU1Q zRE9#LI}r8du+GjtY;_5yr@aGA8K65Gfi%=Nz-oY-SzcAwyYl(-rw+5cE@n|)R%Tj!Ruv4>-;$GBgKF*Q1?v=Wuz&{$!mG8Q z-^V7=!fF7 zV4AHdFDWU^&&$rpN{UYki%y8jvgmu+(^6lRl2n2KZH58NO)yw}HE47h6hTgmjfzUD z>Olm1m7#zG3U6*|1mR}Tm3#hVW>$7~Zgv(pSIDmG>+R@5HP$qA4vlox<;JCySC*Dn zR6xFSMMZfTaOjJQK>{eb=U$hWmI2qSumCuv*;(mniO~^Z;rFd;Q2G9ox2FgOC*(uIbG1_J@`gM<770s?{pz*g8V0EA=%z-?e~V4%NWpofdE zqiINCeraW1UO{?VY7*Fe#l=L&#zaR09g&f)4)%67&z-#jLc+ttfP{kgM}2&}K>!=< z=j^P^ADTY`V)5AeiH(h|y`z(}lcR%!gQK%=WK>X4M0iNB9{}s&;qB+=;|0ojfzJTH zn~R&9v$M0Kvy+3Pqob3Ple4Rurw29HVlaf^7jn@A$`yaPY~a5c>2W7#{8k#-P`ykX9U85T}3~v}-)7Df|RaL%v^@@^`!o^EUDj*W3udQ`U znS4gX!R@)Fm4mC(v!~W(Cig&WOzZOH%OD(b`V=YAJ|aRQ3TkkS2##|1fpY**K(D_~ z{LOc3#EhIrIS(;1G9I9!p`{1Enc3J`4;^CXI?4m^3kr*zm6p9Ae^~{b3TP^xd9btc=82F>x_b5g{QF;Zp*Fr}$5aoDmZhl2AM`(tGl*k&3d0 z?oC5&4dn~x#Dq_t)%MiME zVt!?PZ3UbcZtUO_lTlLB($O;>WM<_!dYt#f3I3D(0w+)KiJsvXk0LQtE2M=-ZaliA-J|rhDAR=_)q!2F$+ra~rWCYuv zHdf!wP4#zlMMi{1L`MRv0;U`k8k?G)6crK_=3m2vm8Hf$`AcqbK<~~AHP|JSa2?!FLrp?LhQBg5-Pek!FUro&Oi4+N4GGl)fvhWPhIe!o zF5k2UrfB)#K8Wc(dueZJe8WIXUR?arjc2YdPA={q9$r3y(P=paRm~`L_t41j*vuQ? zicL(ueZLA$S-0^?D8cD5ppTYjKPkZuI1&Z!$k4#hBseUb9v>d)>F6Aq9GU#M)fJcV z3UA}}>lrK(RuCWJX{o29qpE)6j)Cqq9SyDC$&WZo{n$ku0+Iu)oJWtJIxBfjL;&#)k(7`@5JM-ZZna zcXD-g_X&cIn4BDJZC^Mzy7>kL`guA&HdHu4u{H${Grl6lyhSZ<@z~hRH7qSZYpKH| z@C5Ah4s-Sq%ix5hgoLc-+0P60o-&8%4jmU2zzKE3xpIxxz)`A?j{o9Azoh(1MEBUt z+xMUGiOH#HC6zHOdHV#4AXIN;m@QRa5($!=}JXQqN z6b|p;^J!iAK#e0n?%;!)gF{Yz%INuhIWaX;BdKG;>ZZo(y!|wA{!0=f!pGJ$7;>Xm zw-#ycm%gWDJI=?$ahU7KL6X&x=A5YLjNDj9V=JGS?5dX5>dd6bj3uh z%oO_tOar0=%mfJMH>r+ay6fZ@8suhjNsxo)^XLr4Nf~hta-stq$2jRpwwA^l{YmJ= zy&?kL9^cSZxvD5FaZZ>C>*>@?bMnZtCs8Bq1;Q%KF>%^VW+DRz_)VPG#%=ofukrC0 z8-jI@(KB*#(Y-5A&TptoaiCCt;+H@S^K_+|OdF%4S}UvJ0TGMvY9PUphNKH4q_2ggkvt#ATJ{!3atpoc{rFz z-!+CAa^Wp*kh2S&zo>XgR#NmNHwOo|kgU%AXO2!Utc7QOdz*42 zJsjP_ONVgjxCBm%3ZImakdTxHb*gGz1HR2YQ!_Kudv|VL*U?Z_283v6U)#lT)5z%7 z?K^kx-o10{hQ5x*RRvk8vw|l$nJDp>N89Vlic6{*+d*7nWT30HwkRVW_>6vjz~=-@ zV|;3ESp#}tYJO>H{#8G+rXW2zC9|lm9qdqE4RD2MCCTm;L))23WHNiX&IRd z7cR)kT~tuIs;Z%-yUPPqIqJMFe^Q7tPAb&e1a{E~lz(@Xd#9@ER08?x**!M|;sN zU|Rmrg&^^FXfPj00T`1Q94n4hV*RJX6>gWK^RZ~M6LnCB(&`5g{Th zBqX>iLPA2q!Xl?nivsWR%-LN5A4Ek@pB4ck3|+wZ0Un!#p!$2?iiQKqMu1vFxz} z!TY~W&|ZzOuONQ?CH2j6{&hgVZ4P7xf89V>y(GxBXD>fslKL7r{s!ppaRrpt)q?Z- zU&ch;u6i&={;YwZ6c|arBWJH@?XEJY_|Lfd1HHRhL5cd>b9J?np!=mH#rH<**Lwbx z_#g2|1NnwdO7hpneFOBhvOne>JlQQ(Unfz!J7;{A@0(n++sIwmKMGXx7kVHtKLGk3 z$FH9uWxKTfsBX8G-HEiW{wpaz<6iQcs_)BxOZ$fB8=7525J|hkUTW70zzM|O1o?|S z{9>EG#RMtcg(I<>|7T$KY@zPwEd@n)2l)43ejsU2=Xa{1kM+Rrpn`#qdrLG9VoZ`!(B9vUxzf?sq&HX|if3;OAoDeR{W zh3E&Y@0OF4ghpVkl#~RZ^mlgiGgN>%P%EV18;9q?0Fi={&!3lsKmn_lg!=VYJKUq; zXWG7{fkG0{^#4PL{#lVBJcp1#EdM*QR~)+j3TT&{e@*GXTJC4Ho!^^(V6cA? z%g=QFn`uz<{yUraZ^HSf_&*H%zr%oxj0^y~d->m&Uts)a!1>=Nc7hH7j^#hG2jL2so&uFt9t(R=f8#U7ka+N{eF@Qie>+4K>H_U z{@atj1=JxR-^*@A-yZIM`dNnmHaOpue}DW@TMG`G&ViSbzEAuP#a_DP@1Oshs6Z7G zP>3A*mIOGdkd%}FKz2_v_JzWvM(XOsB_+@OaQ5`$Q4}Zv9RU0ydm4Vn?pLVb7leBEyl$`Ml2YL40F?gq zDCD=OehX>0n%^HT{XxoZZb-q`qo?oM2UY%C)q4%uyMEIL72j0?DcJk){q@&szk9>r zyVpbh4AwWT-$49c`>*x>>@@6a{@+yb+t)yLAN}|O%J1)?Tz^pcx8y%)$JgXNj=tXf zUjN@r+0*kkI{6R5{mqL1Ap0Mx|9cPqK>OcL{(H6laqhoe@y`qVaRom-*)9Huxqq(w zUrqhPYM=+dSNdJ{-#`2(<&LGaxEL(rYZW`4uerJ!eFlmTGkah=WUka9J% zpHf)Zn-#>CjI`JYHaK_GGfY6e@o8(GFGo4kR$WDo?wwZ?4qoLxMg-Z7>J6vg@{W0R z+e$iCA}|g2F{?$qHPYUygl?(@z-bxf2|ENvB4ay*i)f~dLg5LNjOIo6!2T-bOOr|e zW|5oZ(;V{_!i#~7)L~=ob1LZ=@~$+jjrS$oXH&6t^qk4a-Ut<%%3U!#lig}nBh#(k zIU2Y^j8vkS&>%Hi0<*K%#4AU;R2B;_LcLuim1Z^^D@A~reLs56FMuD^FROm!IN0XE zqSN~9iDa)yxxsFkZZ97c9F4fn5!&887rrO%4LyY0a*qhCd9wOZh&$oij1eGYeMys# zODNiH_%ZV(B_#O3rGCP2+8>?If1V)0X%HO#^(-i_B>BVSBQDLV~mJ(QRi zf304fFry|)Ahn^{wZo;bJ(=aYooLCmhOJL(Y(O3OgqxvR8@S7J&XrZfR5%7^hLd4i z*H^qq!xcu+)+AfVWg%*MQ-&ID1+L(`>tCcBPv}LtMavVx=|^<0Y%IHL+PJ|gC${J} zixK|U+uOAbsF72?CDNQjBT^G^8o_H#i@n#RE=K42!v+w`4ZwM?jJuQ34IV6R*{(W| z57)}m;mwnt%ig*;d&ur5x21B3N#wZ?kBxj#_q(1Hc~<-yX%qyJKtH$&=U`Fl?sf>sA8j9Hh;cq3BkK*Wy_qT*LuDXPZDu9=NuY6oK*eC6&CgW_1ms3Jsn9 z!}$4KV?)vryj;%If)Y}gccV9+Ddq-@^?eDP-8+zOKHeTOresVL-#}ld!u1!q1eozk zXuO-kycky;KjP<8uWJwXB1?aV_8VWTKYyGF)ho_XOjtJRGVK$7hdc zF9Na%1eK*)wl=jJm}C(=8r9nM;=#+0-n>6Y^yscY%*lMpcvi(ckQi|&Di(#RydZmx zp_y1GeI9?ReK2W+%)-32jT^5sG-Zb zCBVwV^u?jj2jtXoJUB8cqn|zf)B$2C6W0)Vd#~H|=r>g@@L&`MSlV)PwFI*AHavYZ zvG;>@M?aN;IdQGDcvwLzP7|^ZD=mEo3%tff+Uj1XjfYtKJ`5Y0Ij#%63Z;};ooe3> z-8#)A9= z0eh{(LjZVZ-nJVnf&NZSg`$ar4t^x3Q-@|S6MH2Ua-q4|yAftiUa-xi&;d&djEX8k zhE2TUDkpi51TA4ML}3Ri6F{bWt~QMi&j2wz!LnMx8=>N%UETzaZQk%bmk6h?i7l^Cy*n-`(RKH*z)jc_e@ zURLn%@SII^dp{>b8D@!U-OHPo5@_Yc*r*ZOkrLYN7BazXSxUqaFL@qEvVFW!ekQq` zVpMIjaV#fIWjjc^urJAs8zo+Lu!}QKypHu)TmM{18(jJE!B9SBmk&EQ{(OygB^@!u zFi5DZdyne56`t!%*0`@&re+4T_>#jO z;1{}?V-T$e(9+pNwT;8g)k);Wu>zY0Yz5(N7iEXTy!~F)MFP{%hZ2_UVR<82OtidD zDAy0M{nx;%j%)8?w>;DD9l?4>ssfMZiDob8s6+8ieV72AnCVs*xXUw}_N~urhu>5G zODILs^-5WDR>P)qmaQz1&63TyFtnDQqT{546B!S;*Tj-BDo6`suWecuS!BbJ4)Ffw z!aw01-)E#F!8_}0BAR$7G1Te7-T4CKQDmf;H%0BZ-&ZzXQsgPe`L?<-M=bz<{$zjo zY-}m*a6SRd1vr!XWO*e4j?Ky0Dk=k#lnRD;jc`+i?&*n7M6~JX4ya*PJX8vXRWbzy ztG=qFf^t!ZC+-K52@`Tu4D_yZ3tFGafC-jRthX`rC0^1;EN2FjB&PBiU5S& z$apB;)VemyYc2c(AGIb%&59JZ4VXTT4W))J)r>AelKH1+!Dv>Rx{$jPI{R}u0mbK& zBFwJ(mC`yS4ND;x27|@F%XJUaawnS~F&&u#q+vUY*DU4y8Jb3itCE|jOp{FVE*Z`N z8Ys)03`gDek-k6s<2P!r2Go6J%d#ck+2WC8~aEU`!s>Nyt+uX$#?&az5ZlCwejN zjJj76cpcnMdx+2P>A83T2uW_x)E1{;>5>GVbjI`e#hpGj34L6~D@_rQ6&du2X&qt9N|LGQsz~exk_Z$Zp zXS*;c#BKw?v00|GMd@58@~x!16%{o3==t?>C2f0fSg)Ydq~>zV51eP zv(Omk58(6%Il}p05@l}Z#)2QSQZNWvkqW}bi>#RR>*MDb>k!Jb+0g@PVK|F6S*3Z<2$T8>I7SLt%yC5bFo<*Y*kP^*GHMM2Fmk;{jySNz zg>7!%l0jJI3YtOI`0NBJaad2|S9hH~nWI&1Z+JZ1w#UZI+m>XJv*pA&_~$rlc>(XGzwL;(9_SCI>Mcz z^q~~3&fypw`*MqsOGl2y4^;wFapo!XQ2}>1Jj;t`9@w+fxAw)INkdGpnSE35PVh}v zQ&P0{v-K6;Veu0)A7##poq6UELE4f=S#$++VsJyId?XYRO8Q826_{+} zfCX{cyM>@Cy;}sIT}R(XNfLsG67<^|U8K#?vEOZENlAPaV}KGC>&7<&hqW8(M$xpSCK7BfGpp$)zktRH8tveV{OS26$2?Ski9V5381&&rZ^i7v{cQ!GW0TBRIb~U*NEwS z!v}xH-guVhbWm3wlc}@eBoqh=%=hXxJr!SSZM>u{#5(A)Gw7#@u(Zk=)l1ZAp16-l zJ&cnF@Cp$nV1B)#jfX@ZGBZVr{pOz}TNj%K53Rpd-s&RAH*#?Dbl_{n1Y0O&TYpzjG zWqIV7OP{<9bn(L}MaiT3{VZM$S9I^ENc5*Eq;Lvt#Wm0I_#05YT%>qZI}}&?*y*ho zn?!cKhmt)82_c+Fs=?i-W!rd~BsDQ>N33fe(b5L$8n3e$u@_Y}1qb&7`^uJb}Ty(KpHnD* zvH4~fRa37B{N|XCTNo=(<-JV%Pe5_Ftis2-JE5hJ9Ff)CN-iZSn_z+a<-P~xO><## zHM{NtJJ!Hb*Abfl8h6r?!xI_u_^7I<3>w&-_qNzxC>qfn6p~JC?7ls;2O=hj)80c% zvL({Io4BicIvnvHh`?ZxP3@&w3>3kR3{y6$60Lj|#uxjRt6K^>Qx?=wSM6oRAPM%< zWi*csSTQ^a%yyn;Wue^b$vM;J(cxKDDR9z11b7bL9#eWOFkZ11WDcWTyGbD# zfg^3wiY6ptcN?>z?gwe(XFhF=1s%0IP@|EyX5PvX;wJM5t6)FwbFyy}c;UiqH18rW zoIduC)Y69xv9*xvp+i1e*s2>l2bJ@T9n>h-f{C)jGh2@S$k9KY50YK160Q2|aXz1G zrAZ{UT#HvwVIEmsV*)%(X1J&5+oz7gobwA8@Z=dOEDkkU0IQp|`vP+6ej!rGb7R;sL9)kD0jKukPZ(<_(F37p(Ib$6wHYsxe- zBTC5QW|nI~w&*L%q8qpv3nzhoMX?e`dTsDrqhx)>oI45MI1cvJGNZMieVXxMR>K2Q zq9kv`Od;z|oVjRPK>;`zAD=k;4JB_Yl0IeV)zx9fwVCOURqTD@T&gAv(|E#pqM3Ag z-lZG3ACcxLuaZ-sU-K#FX&DeMbFaw38n02#)! zZ5Pi4%J0Od1P|iB&0-<59P^i1mZx(Y2QB=$q3OrpTyCeL_zn!&F&tkyJ?_vt#jZ6M zBB^W_@P-3bxSz3Z-R1XTsK}h86K@RTCSfB;_$XTh&YHD)KyqtUSa+!dwp?&IIuGbk3O#l zy|<#HXKv+^^}hxS9|#2;2Syu&bdcgWu@m*5)R;im6_9WoQdNpDC7`(!Ynyixn{jeH zxgD>-AxP|(QAa@x!9C>kh86y61WGt93NAG~0piY!A6{A*wLNl&XN-Ic&Kww|?|!4U zL)BPTk;jl7#3m)?R2)rU4hZJb@VeAKWis+vo1AD6$|Xt@4YeQ$OsQ4yH0ZGdQeMuB zm}i+6I#X~;26HJzbTGzTfx1{CV{t<3i=}A26{nysT33o-Z9{y_)QFQ%*7JJW=uN3Y zDhQ@L&2^jSh{&!R7tV+cwV0l zw?vMuKFeN^M^H)fqFc|l`Kh9-jQEAOn)mrKp3o8D&=QUo^^DqrO>bo^*rLb8me^P#<9ZW3pDvQf%Xpd-Zu$vZT2oA-vV>#R1NdG z&Pw<&RyT{{iuucZz*VP;&x}Tbt?~nV&OY%t1j`3RhgjvJ0mKtPqA{omUh&^=HFXHF=q;%+EPnY{hd&%z7N!`O7h8)F2^MZ-R-Go=uwJ zVaoaEM0!w2Ia7x`XTU)yOo&`&ykqa`#K2+Fu$z_U)uSN=XA4QJX9DenCqc6$Pjhj^ zJJ1I94Q@L6s_)M(96d(WhP)_AS~R$elDN=*S?-&I?>UOfC@oA*&m;6qug56sqqQH? zjmr9G?z3B}g~jc24dx8SGWR zQ&^}M#y3D!SY;&H;(-iq6nBJQzg0z`hKS-*0c4xeX2e(XaVkDLvy6{%zNO$ANnQ+W9-ITh+8D2DN+!zOn1R4hM(x;Lgr=)jOBZAQ$plstd-GV-IFe zX1Ba0;i>jI*)pUB=5UU?i%i zR6>pf@s4VtK^9V@Ht&PIC`p?;Bz9$WoARrNO`c@ZqT%H{NCTxbcwvdWH&(=3+BGEXi8&Hos+aA`wjh}aUk^8=wLZ~Ir)3MrgdyLAtVgNA zRIvA3@yBu#M*Qu2|LC&DBT9`v8ZO_nCBw^ks#339$Bc$I&5k%a6;)KJY7Bq4R;j?pW6yPv3y8|gF z)<`y-Dv~`ZJ6BWe@4C(Rw_44YEef71iH1_;cN%8gX^O>@Z#1#vNGw|chj+Rl=g@QM z2ENpZG8n%Bz5jYQCpdyE=o*VuAX3|vqfJeUU@MoR)O2YGj z=5883tDSnd$O;M;=;^@=WyLS?ZmX=SGuR10b~KDiLx6?RBW3pn@V>rE;VBFP_!}n%znFoEzfj7IyB+9?X8CZP{K#etg^e`t_dI?!ctzzANKqqHcp^Wb1-JY8HsPG!ps?2`%JI4Ao`kc;5+Or;xp7OEb z4d2Tp$wIE8OdfkM)AL4ZRPdv>mN8p-7hCmu^?aU1bdZ#xD$AR7Cow$U3)8Y?;YCkJ zsq~x6(sYPwZ>|7Cbluyb%W?4Kw}3Ukui$W}b;D_sEUS!w(2xR=z*?%>eM4S$QL&z1 zm|ZR{w86RAoC6H6zTrX;ky#rwQVrSGItSWZBHh7+S21kWgS7jdIUI}^#BkH2BvW-q z$v{gO-bI)70K&w4eCY6ES=Km;&F-N*p!m6Iz|K{6Jz8Xly0sls^eN6>fe;-s&nANJ z)s?NaR8VzSQM{o^q6b*a5*q^sO7@ycPLpG9T`r9zbq=Rbo~ZUM%2bM5Ut*J_L)2e} zDi{M^V!C&IaFsP)iMY=#9s0%__}!A0LJ~t#le=HoH={pZbwJ~vIftYA#Y^wTs3?fk zsq>^0vmid3&yst))$(-gs0H)nvFgYJutu@S}13Kg=-#rBUcyW29w zBoFZhw@eoY^0#1lAIxEa>h`;MpG+`Lky{KQI*0`V?4<2d71?1sj(8Cjimk*&?;xWv z=U`7Lw4b{a76=X>adIL>SSTt#p{nq}qnD;H}IHPOWt)-&1M9m9BRabXrxybXkla z`l)Ce8&HwB$Bp$N=4Fka-0$wMG0PpV#oP7oNY|l+H0`Ux`b0wmp}n@75+21z68N&i z2XqlZn`|udk!Fjq@D-!TxPpLj>D>^u!Oh5LF-l*|fq{+Qm-tCL1GFdRrvs{W)lts3 ziW%;aVoA7+s3mbJj%@?%f$*5+iVnL4pM0hDF7`57W?}fEJHN^dCWLT(qV8s+LR!c{ zw-nMChv;MwiZRHrEWuSWR^lU?#Gqx>JD3m8%0DI~=>{`4zv|t{a?bzvM$0@C3Bq{Muh@G>dnHeRWb>0ZM zRXamP7bp3w7&-E{k@<#hcp3F~FC4KMD*MBWkh z@EN3#Z}MVGxFe95aRFZAzdywyCuKRdV_lrfQWwPKh~{ca%ruj|O4Rxa-i@kQjgkO6 zZTgjO8f9Gogf}p{x3dj)_l3m!$I!xD8R@-Y?(Sw*D9*h@a}Bs(RQGfJQ-gDD-Fs9M+Ad+%7~ad24pSbK@;P@6sl3G>l|(#w%s zHBJ2jM$+mdG^A73kH4DUc-Mtag6$5kiO9JPO1DDGFzaU!{<@%o>f%hG1h1x5F0T}) z`pm68sVF-K(dEf)TIrbJgz-xScX%!i6aIeVfGT{LL-M4%+$LU~#U%T2wB+Nj9ERj0 z1CI9f?YC59FdwqpkJ~6GAaYhnZc=}4q|xdPG1l&3JG>CKv5DmA{g}JBk2c$yw{bwG z?$DHESMe%f!>^@B2dh<0&R|WiPp5{@k_1fA@mA_1R$^Vhag}Y`Vk~GTI#B zGWKQjVZHvD*qdlz%BXZJg4aa99_B@ zbQ9TBUrrTvvqnz0_FvA6qV6Ks-qhndt5}hW_ajptQkx`3S_#jT(nP~Crzi>?cQ1_v zclAG(g9E?Iu%1I^6<(T|^4i-&eJk3uvTvw+8)~Tws=D0>&`tbNxv=kY@vHe_5LAtk z{3)gH$PVwU{qd~pF@8cko3?Mgcrem!axh|~U+uM8yxl2=Oz+5+IBBN9PxC~aGDuG1 z_H@mqgsU8LWzbrqnqpyfH&=&(t1-T(GS-NUm88`>^({Y9%>s~IL226S;Zyz?biEnt zYgLBvoLJnmvmeaj8O4z9>sg&XA)ZW(-_R{_jE)~fW!|DT*wVszIW)N5bx=Flg)LFi zI2M$W#gH4edK-duHbB&P?RDK)6w{0?E9@m}To?YLMqy%w!Y*A=xK%lrc)iKxHdSX{)W*wy7ru-grRQ+P~w4mKI=?r&M>jtb!q0 z*&!;Vm|M4zIpe6>V-E9n-`oF{>Au^tYw{ zE~2h?l2T5#fU_18h`uZc4dMbQ+1h3bY%HY`R&}wO!Pw5{sLgWB9lYJP4z)h23hG%ZHUIXgH@X zeV>gd4pf+vmi^+j6qz!J?{O(3VuLf<>b4UdDQWW)&}MKo$r9z~U6Q?ljaRiUan#fE zS&7cPR$HWH?=sMIT-){b-_F=Zz?oe8zOah zI^evZrb*!a;%jHw5f8{25%iZO_sbJgwy2YAIpk*xnR$D(im*N{&yP3=0v2urfg3O2 zJ1_*!VrMe6_*vlQ3ML;zpEA+BUNiCMD~kanW0NWjoGt|$k)W?6=WXQdZQ*}27N8cb zV*Yl+Q#(L<8=_F%mY$G%(JOVUEgJd0B#Y!;*vJfP!~OViGj1?ca@h#)4z;yhFr+^N zIFk<;j*Ya9D$c+JJiVT+#%6!SoW8QJ9q`@L9GyH#&V(ckyIs4Z?P<;cYaUYt7LPS3 z$Ng1oQle_dsw#?IZ(^kmQNt=N!OW?Y`1$F}iP4x-b9~Kb7Qc2c3~z}s2J?!Q(B||W zEckNMJTbZtIq{WjQ$2NRfktp^MUZ{oY+C6NpL`JoYlFtxd;YLNT^KW_SpvW5Ws6%) z-lm_7*#;g@;{og&NK1sLCR+e)S>*tDkd!d`e!|#|4;;U(Suz6oh9UW)Pm-2?VU#28 z4_!PX8X*U7C0RlW=w|m;9{3CslPZqHiBEp^H9c-BL)Bo&W_HKXZB2=_=Oj^ll_gx& z;kkO3gawt3H+@`PjWBh#Fq0{*ZMiGOjy9*ZbBc3JV#pMU8O7pJYs%tJTBdEL9E51n z=0Ln=mQ{)h167>r!U*n{Dxwpidx*!Sok=-!-&8e!kd7t2w^D}S9`1E5yKXNYQBd$9 zjrZQRDy2DMvDlP_1)8Ly3VtP=rFZU=q9$VV4uy27w5}Qq2l}Y@(H)8!;6ZWoi ze9y&JE&_f17f+k>+Op)r8s%755-YL;3%BMr9-cBD)`t}wj1;sWT+Y{4Vnh{F?YJZE ze(iI5^qnDN-mpufaeBFD@AfPaf6>7?^~tMA8gjle&Xjq7HBTtes|VQ`h)0mU=ek`_ zGOiwBSBIMbNez#SIy|Ltaw2F`VRMbjAv?(FZA=_DAOf25qfulyf72;Ss5@l$4+v3c zk`cjhuT>%l|Vx%YLF{^KR5SMM}sb{`1_BsyyRyOKllwC=1ae8?<`Q<*aAS z{+Re4{o!xoeBo&qa+n|ML6sv5YB1J_WV6zhyla_VT#Ic zM|)Ir^{)@L78JvOEB*J=n|a##G2~P-ZT1r9{eHH{0>8=RE|s=jdCiBkO7*zGp7nP_ zrk|O;olU^3wY=%PyMg~KJ5*&+V}MdhgL}=obL;n1n$(WdzQs?8Dw6P*zplT%7YHwg z1OBbH=6c@hEsPJ);lt^6cnscT2Sa+UKIM>&bzVA9VDrSIzTtcH93It3Ck(CKzKdpv zew1#omXuc!M26M7w-pgk45(%A0Skm*?j)){U)MVTdRYTX5-ss_IjWdpU)!@VA0Ww8 zBzhgJu3zaS=Pv@BaV2$ySp}`mTKWaHIwvp1-5c*Eow9x$UO()?!$lSy4`j?`Qf$tK#?g5zYeGMN?s?VW%*R*0^b=)NqiMgGe9IkLmiqH#&>{$29O ztE{bl(C+c4Rv-V8JHBX}r0rvyE8R#$;Lo1#PIklIKioA3?Tu2XTj&tM*7T~SjC~`K zB3d*^GC28XtuLa#rLPBT)jAM$=I5@Lahyw8wgG)w(%@B-WiGpr=o+ld_h(LjMS{uT%bPbey?!R~zziRi>Y;Ap3O*N}Ot#SOcH9rCb%Xh5UK5T$Q+-7MS6<+YmrDtQ|L-4itXD z|CtZ-%=9o}XhGg9IFsS)gR6F!u`Cu=|D>dB;cWd`v6gNUy6w6q{=W+IM?(8|j9~1Ria2dhk=xe4 zX}mS&-gg?3Yh7*`O9jc2R;+iyj8{4q7(aXn{|Wm9ekx*R0mv>^eLf}aC-pY%qO|i* z(*wh>F1bA@2pv%yT|0#w5)o)s`3{Q^ZTGRbqK5)bkD@)!maFnm?K(=u;qaUzf z;XUs~R^_jEaq3EoTj&1t%$ycWeJYIKRJDDvtOm9y2E5J%vm*Sl!!k#{0zw_t<_doT z2wQH|Y|6k*(^O;N5-0cyCNo)+xck!J`1p+MR9-Kl24Ob|hE5iK4owT&fWUD&hFAXq zC_!=H4Uv9y!hiPR({QO5sO9U|yx_;jWto!N$4>0FnQ9c)Ssbl%FO@?Xr-4+`jCsQS zRMAYLDXT5C{wR8NXI>rE%UO0)mA z)Y=sIVz0?`A16Jje{n2QDV%2;aBqHoEMGa2Xs(#o`rQ^2i$MlOTm0k>E-=W73zmRb z>_d6^cMco=Wm}2NAs1DB{H@1Pkrr3j(0!)9v(*`R20V!88%L_fb!f5S{rLw`G-gQ33itkn`y{Xx{P51(4yn%9 z311~}tZLSmO8lGNkp`F8ykHVGqJx&9SB~rs=Hv zo6WarYZ7Y2pQ{-b%qV~HtJnK3o-=Df%02%ddXXe3Bgsy;HL^KNyGF6hEEwV4wsqA^ z{}DO+P2e=f8}jF*Lt9BwMwHH3cP0Wf*?Vy{5rt7m|lH?QUT^M(dV=OfSP*avbS+- z);t^w!+bY#MoVo_KM%d3U56PYdG`WK}9V8h%rF)MRkJW>HzNC45I8mP5uwWjsP04ZNy|-C1w? zUREzr#KALZRr#OMaTBKPz;Dlh;qvgGu~JxF(Qv2cCW8B9qEAmwO73$oiFqsdPM9!0 zf^VPgDinVe{D+|G1;X+}gWXp}(NiE}y5PcmC{@5t*2u=(aH0-e=hR^6$Hl5~d<*0K zGEf7mvB~4GqlI4qv?;sn!lk%ZfN-q~I{dr8SEa9EO?V?$9WW^q8uCa^kZOj9^T%Bi zIgY^NQlV~IxyWzMSi9kr*HBgdlN`+vh{AetV>*Q_A2dm_i*<6xVh3;|Oai?-L z5=T{QG1i;ncb1^OIMo;5&uyk1#y1FZK0Ol|D`)mLvQ_zI0cZZe)-9#YICJO;4oh50 z&ee{5N{KCt)UGPm;cPcs{iIF;$&MBt4kC{Y86GvyyDVlA7`!y@!1 zf3#c){F>$XL;1;f$kldHYQAXx&ri%Ne6JkJsfq+Y{)m~J1IcH(%QumYu8vlWKzTc= zYNjxrR84lj{~YRDCpH6!t)w-9dOJN!9~4i%!u>Qjw~+C}W50!mgycyv@^>^UA&ND9 zEQY^dK2Vj+6c9+O2`|=a@Zm{YihjoMUOrNsjg~Y3kw9+0r?@C4IXXOfqG}RP zqagS@{V13uN40&lYysY`B{6}bCM(8xO-?V$w}0wCC;Hr1uO1$)x4~Z zr*|QF%R~eF%l%I{qqP3j@YH=hZH%UA6`ENGxknU!i8)5vtZjLqFYy5Tkf9Z|ax zX?L*fd!OK`2vpx*%XH}n#U~nlNwhf>D-Rp7R^jd3zpRuQo#uN!*q`uI(C2-SzvTaf zyPW|57W%zg8z3E7=qw5Zl&|_}gT^S^)bPc+5`s>Llac*8|#NdYm zPcy@OWxr1ja#Tcp*#0{I^$MhpKNA|RJyP@}D)qEhD<{gR`=`fGihRt4Kbu66eion8 z7K}v|Wshb*zbukrd(uox8@QQ>=3NM`1k7VBXuYQqsM#kmFIfuOpT%+9ShlM;&W<02 zSXD=LJ0nG=zXNrgy|sGv`OdWt6|;6G9|>L7dX45Go@F??-tshu6pz=J$R|i;uiWABDyWwQ)rt%sx=ZxqSNW=aW{YH!AA-FMit33hZOX z0YDGMph?~}eTP@K(`6i)!J$Qdh}J|W3j7lO>(sFg8=KSg=PlIAIVD_=nX_A7k|E5G zIXiV_0j%Oys|uu%)1^MEK@sG<{$Zw7f{^{J{ucl*GDfFGW9y4nY)kT&^QWIY{}cd? zqyL&$hwHs0{tJY8Y7A7{T&MjP?RfB~tWuuXcN8qlTTnbprKGV2?3l~E7MVc>i*+q> zj9`uEOwovBk0gIl$Bab|%PAYZAR zzvzs4-tVMgMUdRj^5crXb@;E~Xv-Xok+LxhNB<{TN=$g5RlE563*vV)R5G-9p76Vx zD?LKZBAW3YaBq`bq?>}@re?BQ^`iD(DWEkx`Nef_qcGbq2z8Dg#Uok~Ok0<+KZQR) z9p<@rIl*r=!KMAet$k@dmVex7PV*M<PyK^X{@{(}d#ka*G%T`hC}tkf6~DtjvQPPK)>BoR<$S1YiGGB>HPh)pvPET?xCks zR{q*du%_EhkSh5zYDx1n5vB)5ffRjMLv);jLRLaAqlH;dSAQt~1HuvcESIIKc=I;R zj}eyTk2J0WGi2#W?snZ>aeIVXOAoM@dk^-R`OL*D{Zk$v;_UNxr>M zrqjT(+o}%W-AshYzQq(tE1K&p5f;g4NvB0$kvbP?$^g$F#9wJ>Zoho6Z{((%?j7{s zjWdEf-+U^FVs|Y)x_s>V(ewjNCe((39=oUG!pzK;+wf76T5l6O*(hG_K2rIMD67r5 zyw2iRMCf4k>@P_f%D3;5^1@;bfL-F36*{9T@J;i4;+BZs>VG*=<5}`bQ*mjEHvcfM ztJ~y%?RJnT69P^8h3G_JfL2F8Ei#vAq#$f|Fa*VEPlXp%FVl_UE9iY^@xeb`eGJZ} z;@|5EdPGG@sFklr(+8piWv#FbfzT)6i>Vo z9AOwCZX9ZpML4~;uzbcnpyUbOHOB~KdV{s$LNaNR6KsVj!aCkkkvtEu)XC9GLhIe% z0i~JsNmE`IIxf3qzsPNTw+9BfLPs>_iY~Eej7#sS&-pDR?~5~D3UBGejMuAuTUV#T zw?aM7V`-nT#bs=B`otti&vyvpPAz!u{+_MxkKo*T!7{eup~aE>9v~cYP|J|C^sl!B z$0{8EabA4$^q*Ucvyg6y!)Tqtr?0YQO&I;wai`VBf{&5~NL~vU*G*U;(niWnVwO-7 zE102~d|6WX!+@EUaB$XEr?O6t4t%oI)a`Vu*FgGKaonpD!ExF5o#V23k0s=^ z;am|T8YhxYW3)bH1isUs7}mn>#-meS^z#s~x5`K3d88M=mn;vR-5927s&ofA=0?j= zv|D%WXMJvC4*B>?SR-<>OqYu8?(YnX>pNDHFu2s@7L4clkNA|s-S^Tt6kxYJjC2buBM%klAojHE;ut^e~qEY#O)kuW? zrubXKaiEVl=r~IiM=sPdlGKA!Fs$JZPl`+Nxs9qCSGC5}tOE_?|5Cjhj(bC*yaa>C zuw9)E+m;vSA74i~v(6%z6LUJrk-snaTs1Pl($0k2zYQpp9#=)-fx@wTR`=gEB&$T- zy`#z^kT_Virs3_zZF_$25hRRcc#*Hr@4F39BwDoa4;qr*F;9HGyV5lSa5HmBx46X! z`)QFP`guL3r=TtEeSP7M9$T_RjRyF05S@X@!Bq)GzQ>`VRr~}ex3iIkNajrNU!OMD za$f|X;KmoI#gqTF`utBNZuiB(t4lJV4#)jR3KB#Zh050gmjdlCa4WqA?I&%`FFi@? z;=-U&&dQv}Uu%Dfhf%aAEG)S~SdH@*J%J`VHFm2wAM0%S{nS8$I3VR?KQqGXaQ|t( zyr(2GCp0X2y@w-V2FtGxlc2FVKm0y$u1{#rNY%8ln97}IVvB)l zWAXi16VUWe*rCN`)&>(>S(pN^6o#OhhZqIMGB^>0MH#o2eE2sU@60t{uC$4)8wvfO zm)uQYcwaxdBZB*-3jp$76e0V2=f7yZoef>`SfW6xD}Q*m)mV~%tO7n^3w13kV%7G- z1lNb*-lDA1S27)q*7kPd#&f?3-(~1_R+|wOIuul^5UUEqqOX(qALimvaS|}UCTJo_ zcmng&#~lBAX33Y9j3{bxlFbdRm@P$aY$*r?AoO-*;5KfSH_Y)ClAq}3NVA*iYq1;h zPkBpH(9e502*W37d=%~EPqx$R|JUAC$3?lVYg$SW0Ria{K|vZNq(lLc5R_67K}tYCX$9%-?(Syj zngND}A%=kghE!B+5ChD+K18?f?b#>px#ylg_WJ|ooAs@=-e)~4zBguc9(}g=qn{6o zau#3L(v?Q}f|=0%k{3etR|lBd_Kfe5&8#_FzCpy9f=tsF8FH#;2y3^`N-`5#iwRw} zxH6C7VkwkEn-a-Qb)QI7Gpdn4i{3hvtyXuR0HU2meyIf$M=%$f@hxI)rRZC9^% zMy;aeWxiElBTr$bH_pKSDEi%GQL9;7m4_t_^POPlyM%g+;q~WV1m(IA`5N}7nr+=J z9Zg|i`JxwGeAFf~^fu*@%r6f0RNrgsiMAr90XCG*HzsV?oeiIB$KrRNX4 zp}L27>4<|I=2`^-%~-%u)u_PU(q7Y-s6kwA-lxq5+qFF>A`1!YAKyU{UnXH74w9jF zTDxDQdga_!kk_;L3$k}TGw3xKLfZ-lEZSGqg&V@?Xj6H8K> zXX_K5f3l}bR<>mouTVlUx){sSITGlJ-EZ-6J%J)U{Igf^dfOR<4P#-P0`UjwetRKV zUj<$b|3!;8;%guHuv|<0CaOqk=i8!`ltU4;)n*=>TGpG5x@H7V?5_z}#GM!=th0GM zhUz}FdE6bg#|r7IXH2PKkl4oHg|_1GZ=;O6@jc)b%S1k2( zauO|6l(|G<((0Ry46t`5Te{D*L?ftGsI&dcHEa&t$QoH%u#FEg(64-mxW?4z&FoBI z5y#8+wqD`jQ1o%ZN0TB5cF7Q>hF1Z~dvx+{C;1+2o)Q@$k?FIxN{m9Qs$EiG8_}Uz z8e~Y*#gwT(SRk<^N1VUWrA+0gnaJj;+PH6&L2v{4G0f-!x;{{G1ku#dbI&z`Z=70C zNkr?8`Yms>gUy##O;6m!**-C{TI14{4z-os1GxyIj$`hX|j!1Z||;^-u#{rNMk~jfAG>gIc{`CCJ zP{jgG!G7A}^A^L11p5&0Y;0&Ig7>%{TUb;HwQv4_6g9n^Uf-KU0sO9m56b9PI4CFj zlQQ|t0?j2SiQ1M8MH7u!Idc7D)@0n_5)Sp0mkt{rqm8`96-8iZ zyCHag_~ei&*#oxmeV2&b37(1F3HB$^_ZE{E>7i?KcwKSS<#E4soD%(6QKBd}fqdV% zIBdkDq`2Hr&t}2P)63$sr>z57)AiQ};yTC@2Jn<`ZC~mck?)#mMLg2UXMV3_19Mk7 zx;=pz%@5Y9;OKj-Z)G*37aMy~>Qki{L+f%>VhH!oTNMv-P7V$5^J+h3uRzr^ zZ@%m39X`6~)pvI`v$3#=BH=j9Oa+H1zqOX#be?j`RDJwBOeC(7kes$Lp-)bcSe3d< z^o?vwP4+?F6t%}|H`{2)c$f4N3sy-)^eB9J)!s}kqTjKd_kB*0Fe5XR@7QLLHRBlSyVy%RG)3qmI1-eAkl?yW!zg$80|(vElPw1w;(ZwnF-u>}l;S-dpk!tI$khf5`Ta{bBXn+%nO+V`0cs2QlP z(4&s&jf#y^^Id54FMVS$kV1~iRp-rC$l#+N^4yjfrW6c7hCfkiOPLj+I?VY-fYdoCr!u8rAK++@L#?}F5$s*dYhA8QkmWT6A?tdXo$&95V^9VM!SL9^a@IIe#mnA^&#D-1&!WuPs1K!*alxy+;LG- z;AHRjT1C$v_D$fi?l>zNQ!t#BdP$9E%iQ;7l)~lHEdlJ#aEp&;E3ZD8;1DsOrD>tw zT=?9lVeOIU{E^$Hi?t||pRGY@n0L!#pH5`YMqlnr8W|vFj`^3| zu6t%+j3s^Z^oCdX_AqhB@^FR#HiwCbk}-&_@7A1;Nv9<%8|+CHEw)UQu2qak!G}ur z^J|B*k8Cbg+&$tdGRJnh=WcM%otH;B`YQ0E%o7Iuscog11o4zci0)yrDTYtA-Ubd^ zsV9&>t|Fd?9pK@*cit)Rx#?2%GtwFwcjR-K3pp#A1WXy?axe7q36E>DSb4lb5Ce&s%tKJQ z+VY?R!L?6qEAOJiviQwi0rVQ#(rSQ?LYU)E{9wcHq1+l&xpd+u!qV;>p`0=sD= z>CLc&B70u?P}7^{;)T76M(#`(b%}E|`0O8_HIgsHU=%AnWrFi>>3^9C`NYoPorCa7 zF*|nVE!tkcQqK6ELGSxD(t{6a=>!=rX+2gISiiTu?#+QXcVph*ewMQaVf zZ9R8qr?ne=g#nCoN;Hj`hISmJA`{QuF4L9fE<{tc-4+s@2<9Qfm{M8tZg|FcvDz~~ zF0*#u4ADTN8{e+ z1$dm2Y4~CjVRM#F-!|i2Y(L|XyrY!UZ^Vmw#Mqu4!n9s~*;TuDcFe|;MyO18%{a#^ z#uIzzs57Um%tG>ulgwpZM3cdLH18KVppn^++?mY;QB<1jegs8IUhnFIbgSSx_LQv~ z_P$C;;rq46v4m+!QlZ)9c= zZGKYB2O}}L`V^Zz;wn~Wb)7u8Uy!nybX0OS!-fZ~yG0bDIcPk|xGCZtc_%oefoN4O zT!y8J*u+ddkeuxN(>j-9sZ~_(&E!PStUR~P3yrYqc=u9&T;a=bBtKtOYS+?YdX>W~ zF5zw$2BylbXA1b%HKMPUTFJD?GkW~={8J|zkJ>bQN82uo2drYp>0>?(iU&Atbd^_S zeR5#;!d>~yo5b{T7NJrae80!)BFj8(^V%V;X!OzH4INT9iE>*t*wGI(K@Mhx!CxA* zR1l5H1$JTw4DZ^X)5kt_)w!T?go3k{!b73xnZ^g!rrH$-Lc>v(?L+CgjEWqvr`6AL zu&zWME6#!@r#b!35L8XRi6lH=drF`?Jn|}=dhWxJ^arxKuS@&H3`inR#mFsf+!dK7 zY*i(1GS}<B8~cG;Gi zgGN)QNv7u(CF1?uja6%uPfAWm&S=+SX(|O$GJTu#l95v z?LBpU_DVz6ZPVjAtFNNQ$)@p|RQ4AqYH2>M@KE@4T|IE4o|xD1Mck9P{I^eDBgB1_ zY(2v%g+!`q15J3^F!XYztSIF@*WQIsbjw+2@Xk(Q4-3B?o-}LTSCC3epWl4?sBX$b z`p+3t#RQ*nUu+HB+RzQpO|}(SjXcl8p;3CIS+!-g@_ljYAa}khqfmK$fPD*cVc{6h z9EDZ!=i$i5R^5GPPGf0RV3D%S1-Tit25}Q#a9^qz(R4RG*9*Lhjo!X&4tQ~`EJRE z$QU%7-p=E{#ywWz85wj|E+>CJbZ^bK}$LTX+Q+yvMpJl`alTLw%j z3_1zCU+At)^3Y}+vV5o(-H532keIRi=tos}a-*%Fd_k(+{_Lg5m!2$(2sj+|0*~>~ zQI5~(5E1(SGAaHqlS&{}RaMp1H8r)hwJ=y+U0wZmsjGv*V70Y1HPxU>Wo1Q0d3kwR zSy?HN5=fx26agvRk%F%RU4pXW;*yfmva<4u3ebNw=p5=B>bc=-_uu=jsfKz7-S0@z z*KP`nic8AME30a1>*^aC8=JmLV`Bqo4O;GC+Gz*1srV)kIsmO004gZR&(AM_x+w+S z0R7O&b_Unb*wozG4)5$n_V)Dy>FYsuA>i$8EzQkMO^rZ+4xpi?sx z&FzS8WKU0bXGd#e9Z*zN4QptHclQkp4Gs49bak{g13k@c@UGs0p%D~nc(AV<-r5MO zDlaJt2?>jgP0lQ=sBi1)?H}kvB3kRKit{p35@MsHBBP?BV`3qRiHVMmj)DXf#3dvq zr=+H(XJ+N(7Z#V6gJ}dK`_6PpStWqfhUh{fyAkb8bwEu?X=QCwM|c0=(9l3{cV}l; z&*0ef!s?UfFJC-;xHvW3)mT}OkrW#l7Q)FuOV28J%Gfh3Ik&X3x~ih2ASXRJJ~})k zFd!fxC?q^G8o-I$!4wq{791ED7#tQAn~<287#|lGpO})Km6MZ`m7bcCoRXH2oeKbh zWdl}C1z4A0QPxzI7w2bZq^D=)6<5LQo6x)Suy8!mR9_KynC#uMK6;7rmC z{n?cF*-ER-`Dr<9k*Lf&Yr%3J9Uz>ODZc0(_@0} zy1RJ=#pc4gM<>U+YtjPDPx0-2P+>kd#zX%NTC;&HmG&txw4rSXd4+ zvGNK_$;rtno-?+)l&F{xooI+QP0r$s^#??H(kB_ zgTn!nQPHt+aWP>59(GraE^4cvmKEhcbXZ76MMG0vUDwRTKQt;XB_l1y+elT{GqrJe za-=20Lyl^;*pZS!0Zrl@TisS*kR-ECcaUA+g!Bo8tC1DGnE3~<@JaXXXJY5#WaAW3 zw{pE{s;za&+Dc#Pgu?mDh8jwWXH*qMxeqdP9Tk-j7n6`Vtz~FxW$)x{<1* z%F@Spm}x19@Co)%Q0)2i;>kO57C|XRRV`g@)iZi`60#DUjHZecPM}bdBPDMqI|MK30ElLgvRUOTfTx8F2Gm8%%En`N;=T{d7 z>dI?721d~n!^qw_yaRla%Gx?-B#-O+Mfu2VZ%FtjdeQUuiE`5MO3TU`hUJ%JCNIv^ z+S7bKcKxm?S1Yl?VUNo9N6wizMV5E>x7XBk&AlNaB_pThl00)(Sx!OalpqZuB@^vi z>=)rnW@mV4$Ue=sG!8A_pBWy&Y)~COF3wK8ikU!9uWl0(Y`=Q5fyp&Fa#&nWH=r2a zTAbUuM#jJ+p{ycx?8F5VsTp?s25xCWBKZ_=8I{1SoUDqTN%RQ%#c=eA!`4}~MR5`F zakto$DdjuB!&W;uF39#~Oldu=qHbh^jFyF8LY$NQ!)HRgw_A8`vAy^A^K+9wTbwAf z<`!{`3csai;F{FAxsREF;{9|6OC|I2xNV%-eID2I$~Bi z*j`rBCokTulSta!4a#U6Ks5C(zr`aUB>4F9(JNvqDpI^>=!VR2Zx3JJOZ$TKcqCR? z;^z(;Mi!JLUFq^OOilCC6RL#8Ad;V&vdRlT-bYe`&v#r>E4*d#Ek53xjZcKn@+gx^ zUej8W>w-*?C-Ithk|rW_;* zPZL%Xlk+JX#dRmej#1JRJ;WeNYcLzDbw1}5`JcAZUw8cClhBniTo%K$D zWN`bQ6XwBLS;iNW8u4jgIhL0Co;oSegz=v|WD}kN>+XUN&vbgUg_Mv>UASZulvxW$ zt!$A{Qd5x;;ce5>(y{O!;X8bogO=#=a9d+}W=eXjIsM2q72~Vw;{F%-@pZx3VHKpz zGx}F*>H{1i9Vc2tc{G_#uVrQ5?s(Q21|;|^BdkW^PjkA=NVUz zNE3IHr=`QhudR(?mzz!R%lifDJWBs==?$aQ zDPdOjBm8Xp2{u2GkPv=+{^IlIKy_;utOjO!z{EFg5@j|@!(1Ox#7t~$>5&{F$tFbI zoL^r*uuVqADW#}v>>cRi8yXoI10HL!(Q)~Wo&A%mTSUZ!_zxRvUNJE2r2;N_8?wmT z@C?`EzI8h4m!FyFDU|bH(DMn2pOBW8mO3sjEGR5-LQdcyEsLm{uBz}MAyNLrM_9WQYO!bJ%xyiAQMM%xyii2-Z zOkRC^dq>~o^yn~ZWB@g@urR;6jlYezk8TeULI3UO$NTqFl6-#m8UN#(&4&ZkrB&rA z0m1QMfpz%Y(kf@wH8j*!6=mh+kBgr?EqF@D#KzG^TU0>BNS2nKj~>(c<*>4$jpao> z3oY8g2wCd^G7erkQW}c2*|7xW&_`tV3yP8OPTXWkN@gyse_#-M@5u*Z5)umPz2p>o z_fnGWA>FfwVlNdv3j;kT8^Ibe*=SJw6J~ZA>I3w22M+AtOSp|kLP^KS%EiWVOwGvb zn%OlAV*|qr=QOmHxG3p#J$*bJ>|NY!tzB$|*B^bE&nY6+^6(1<7EcgMSPElEcAT{m zXN54F<0$>}sl9Tic}ZU2(b7S?ftsG~AO{;KzkraKq?D|zl!SyCfUx|rlU^}y zvPXnuRV0`Woz~LQ*3rADtEaDTY;1Vh#K^$NNKfbdc`bEybv5Nv%F0S|;zy;=2KQ=#9fYCKSJudO4jMUpKV#fRUnnv7vp859UDeBmTMLL|4QPsOz+Md)B7m&iqR$B=-V#+M!M_yHp~Dl9ZCGz3U+DEI+aVZcfY z4FXoB?`=01r|Z|Q80u@E)wtlCm~=zW#os?9G%(Q5(?1^AM(L?(X=&-Hz@$u!kB^Ot z0=B5Xub10hPXlG0oPwH$vYf2kvg(TB?9|lMQUnUy91>mGyD~qr^6FWyn%+9ml;ec) ziPsT<=7BMOuC9Ku$;s&%X(>s`NlD4zHwiMOQ&ZC+6-h~nz|;*3_V@90ak*h*b?vH& zRYYFAS3qoha(YTqYI-(s1@iN9cmC$*Zf6v1^ziGkeKx9EIe@E4Up9^6-Fsj{lFqO`cEATK*J zJvjjkA}}B%Hmj<6biB0!*3tp*Mz$bEMyF71okNpP-@IJkc(nMOhy)*>eBWNuw^Kuv zJ~zB#^0G2Avnzo~4*6#dbq$cG2E3=8pGM$n)z(%+eo}5mN+NJhBEo|F{qA~sx`$?E zhx(=0*H_iR>Oj@zre;vRu>ts8)sA|fOt{6g??VRj0Zk=KH#Z|`dF>gnn0>+3~!b#-?E0nSS& z0s-#;4qkIZLv2lMMR5@z3HTccu~A{b9|;W)O|B^pih%VXIy%}q5%5k#C%mJhwY3F! zdUZ8`rGnh-)TFqi((2lde$3Lnr)y6(AEKw1r?3yOLvwTOBkw+b{J4f48=qKsN4STK z!n0>1jqRwh5zOTHqY6=3FoCz+R< zm5~AVNkU?JMrLh$X=G{-W(+kr2x@nBLarjBqrDZdR9jJAl$#6OfE;*#&+ypX>&=gE zU*i!Fe0hWco=4y4qw$vM<>i&>sp+}t*>yakk83Nqx#cIDFXl(auro8$=dCe=<)Hf@$u2o5rAoU5IDEpU@BT$ zTAEv0TAHAR($WMx=bix+3b%m9bT)J&$EQap#>Ym1+uRRaVFaSNsS$F{i%JS=9^t+F zghz-^Nc0(>l#FB>+uZ~2YmaEySeTxj#$p#|am)7}V5e4=7nT=r%eYzG@W3=~ei5)X zJ2N{Ch?*QnPfkvvCo$j;1Pp}&T6%lCyL-S7vbVRVzpr;-aCl@KjhUO7!7bdw&13t~ zvr|)m)!~7@0Wi_s$W9PeXn@rLLK|1{Ap>;v!NY|ITlgRDP4xBj^;fzjPfSkF&CE^D z%*`(>t<22cTgKt$aX9S!^3>$aJZ=UzIWV~}GmV|ZOkt)b(HIP7a%u+=5NPsHVDGZ0o1dA+%wmU!2g=F@F;ip6 z0Wiy8;)cP@4M0Q=VQ{@IBU3YrbK|Y$weTKzQ&UH0LvH2R((?Qa7Po-I;T9GbX3M*%`eOYuweLL%){Nt(eZ&g*zhn4tmd)l<)x*C**Q=F z)SH`~n+15Lps9oKpvM6@XfPeXSlmG~I5a#2uE1H<*lm1y zn;P!z>>9(}UzlB5z|8}mz?K7N(+*M7Qy6IBpwU1Tw5q``z%w*7JTN>o+}qxjmD1bM z)!#AH(}nEp>IC}_I>^SsY5*q;1~Y}7!~(_r&24QBjU^eGaYf@`QDAXk&|n?oX0cOK z;0NraxtWoH39#>Q6EjP=g}IUD>dMB+#ks|$<>iH?MZhFr3E&4rfn^Vlfl2hlI2iOO zpbBidVQ6N?Mo>fT9ofmq)^=29Z+~xBM>iZq^m+erggdszr#gg{6h*iO$Ln?D8U5WD5)6<~+az z78W3M25JO$8?=zXVL3Jd76%FiQ3M_^t?jut3p*;Bkv(9WH^adbrXJP_PF4UMtaxY( z^!5ymVy5fU3-U74<6{#_`@snZHVp&>I#-~ng5ZFYaB&{27655(`Q9R+1cx4(gy76A zEdqSt?jk@1u>=?b9Dx%Y114bKs@jV1a`t z+r9fw9)Zb3k78%0pe+Wb7W~;^2JAVogrEZe3r;39*!3t7JRKVB>+MB!wl%lbwKvzc zMT%*~w=@=4*TCQ%wPnRM{S%{L$q)4R_X48&g31y(&+#WUau0?wk@8Gr#SH*h2Ya?z8} zp))!>GSokSgyPN3z!m}F?c$mW^PzizP348v)wNZ{r6sjPsG;G0@OVW6y9J!o^|i2y z`qA#HhQ_M=)T|oB2o9OwItfSy41%*0*a!Us;P4z824@L+8n^V|@%=e028~-9Yym_A zA|c)27a9Oqmt*4qIoMxg;1EKAXDoOkfTvV@dwXqdNl{sDX=zSnW!PSfeP&Koc@g;E zE()7K^m(WU37*4kZQvnX4=bxEDeUU4tg5dmNGe2*U}kEwkm!DJt`9&20<)_N0Ec&W zbtC(RCKm3mtxgT~01IZQqrAQ!Y+-PAKo2c|cyPxc0teLS$QZPnMutEaVBnn{oxt`g zuPVwdNXyR2$}4F1(cTlES&&~)o{^B-jv5&3M9aY<2TT?a@pR92QY z5B3hDs!9h&dcY&44;T-vExH#5cz+ZoV zPd7*#0s8^b)rsuu+j%B|KzvsRFuK678yf1WDhl(V&`EY)SXqEEO=e1BYHCJ8YBh48 zXP^f#h-hzatq0++(!#>r)S|k&*0!3g6j%>9tJ>Rpx`7!AO=e>qNF7vxAUQC@E30eU zCguj)o2rUZl5z@5iZkMpD%#uN-H^4~(FRcsV4n&k zFs53-fWS*@V|^`@PyoCF0Xd7p(weTJ*3z7mnDD5S?CgxR#IWR=`g$lU($olo?q#J# zP%V%x0I3|1A*rb>D=q}tjbe}-fpS5Gc^OI35fQ#I=|_+^Q^FEMExmJEo9bE`np+wn zeIRdARapkb@>64@;?oP#{i7S(YJkyS3n&4Ml$PY@=4Pg+fjj`@U!|sH<<~ToBt(XT z;CyIUcyvnKo#4XCGElJ$*rtWKS(#}mpjt*&PHrw3Lw-(1YBH4ONXy8|%*oBn$xh8k z4UY)(2oGlE@bmQy_w`H2EiWmquBfa9X{9OvzXA+D4R}j2adEL>p)pCt4HX5&`8he6 znOQqdWO8zHJV;sqPdgfhJ0n9Cg<=qOc$bcz3xu;G{@P0v;|D z3J2Miq~sLf7{){aZ#V)ZW#VF!QWH}%5))!WLVX;=T<8v8Gj{ZKi^|Rbj!159UQu3Q zF-Rdn4q{eJWJCx^NQ8yOWfvFcXJw>;lmmbl1zhWh(BPl|e_tP8UtfQJ|9}9Htq2Pa z06x`iuiH+}er|e}G3kj(sR{9kiAjmT1q==f3Ib>WcMyX?{{DVGKHlEGzJ7rLL1AGL zkrCm6zWy#w{^#B@YpR=hxQE0<#>GV?Bqk&!CZ>R~CnbYihnMRuCx@GEK0)D8QM*$S z>>m&aslDUj=5o`~&c@ot#^(BUdwV-u+Z#7;+FF`jF}1L=b+RyY1WZMSgN#cM)WYYE zx7Teikl^sX<8{Zw(-kB>935=Uu31~zIXb!D_44rYaj~;8v9dX|z;;ea%hu7|&mZUs z3JMGk1{o0Gss;J``0D9sX=>?$V85-6jol4fYfB3&OS5Y>jyD~yTbW%kx^P|x#8A$k z*Vfk3*49)%drnhRLlZ<=E*f9GV(#Sb;_T|?6X@$;e$Cd-(!$2_nw6D>mGw1qQzIiI zLt|t83p(e{X=!L()Hl3h271#oyr^k(?nCky1A_jiN#YH3()HF0e6h}$^32}+z$0ent zj?1a3DJq{gFu16H)m&RfQAbZpO;y{_NFT&BG&R&zRg^*eM+t<0WR6P$IUy}81LASg zvWha&>f#+zqsMjBPbr+eprxvQ_LTD3GslsS1)K~YZTgt(}Pz)>K_gar5wfq#kP5ceT|zC*kqsLajED^7ivbNZMh zFV7KS2{9p|V~04nK#+|S4FpDT_ zp4U*4mN~6`+0xcRUtRU=8Ch|0dHq{Hw;gUcIf3w!gKv0DQhqgfn6<;(;lTX|cIM2| zGVl^t9zK2b{?pd0&8_#_Z`L2*1D4txFzY4;`%%E|0MBsXtoDzi`+Mh>YfLWYkM_Z; zN>d|)ZW-!mD@w|q6yQ9>$H~UQ%5d`>b=MH@6l(=Z_8I{*Qz1VI)5lL<9Ez>@oj=BsdP&T-KFkr@(*Sl@L}ky7K5P={^c#vIAT^><1``NT`_( z($gN~WT)G+Iazl5Xph9=orckIRCkf5yplCI!=ti_YmwvK$qkhV+}g_IKwIu@MQK9^ zZM^V7uczGNg4}{6U^rwd}9kLGW}g*n&hN9eXOP3eANlVX8Iuj<@$nFIa*25eWYh8s=4i~JlRv9JL&g*C>@RLvFcwSTzVSHZddePiB zA}&5A$lEJ0JmjuNU_wfe_QCBfDn1!GQIT`LDanqkFF6BhYJz2r=8YPOh4t)j7z%$W zvy_!Pt0pA?a=j-wNMAjD6&ewrSyEk7oa}F=p=Iu$iG0s-#x^LisJVZnt0+MGgo;y4 zUInae5W9pMX)Xk|Pe@2ie*4sehq!@;!sHNp<%7@RWfiUc!+q^AV6Rt$j*O+4i5`u? zYbz?-KpYAMOHV3-4>Uwx@kMj%nyQN^gklcJ8Q=5^i;WL=R$M%DYAZgCHsFUg1rzUuAgykCLLZdy^#K88*8pEYpud|Aw$>JA#`>D4Bo8x?Zmr#0 zefAEIkdWZ>yNzdS_vXfX8cTr)g^$iRR^!4@h^bHIz znOwbQb^Qh)%FV;W6A}*(cQ;oT=bIplbi>{b*oW6`0Me_*hPoPOR57Lkkyx)BJ z;?))&F$K*5W;PB^4%UP8)MSM3U#!k!L4;}H;l^hYN?Jx1Hg+~<1{wHr`RA_GH1qf5pnre@awS+@2!Za6>yY_D5eSzI%_ zYHE7r$`#YASIx|?0RjI8pRtkN`EzF!q{IXcu`|(90jufDhj(u_Uu~?fzkK;}eSPEA z>v!+J5D=46?xSO5X6HI|7#MxLJe&X$Ej2K;2=Kmq{`>`>kc4b67zGFKQIX@ail@(N zXzN_KY;wgE=&`W0w6X?<^7ZSs-{m?GU^?4aLt+KQ($dmm2hSCg%SHxz7j(2V&Z?e1 zr6?yWeL@l#VZuVk1c3>(V+9=(5)u{>1s0{GG^pX;@=6D|ilRUmRZ;kF%U z|6CXUzS@v(gu+*mmxY3V|Br}vz{tyggR@J`?$rIeS^9hZL0I75!2nDawr3QNWS|l&O6S4i%PImePHFo>{8UOCRuke0_>qkVp zgXsJL#xE}A<^F)^HUrps1pw9g8#sdqT)9| z-!CApAVg3Hf8gqyx}8pc0D^$a$$`24rWCQOLVl+c=#9Mm53GNs7u-7eE%)IX&3H&UQ?zi;-#dr%Y11elGTvK8Kf|)4>$}d~-ger3oq%7%`6IwT&Y}EI8{vD;e|n*~JM?c_p<(~N!Jq5i zxeGP>E<5da-|hDGhdzI(@{8_wChO-}`Nb6dqTw!dxDLyuaPrzr*u4 zl>hx=h0acBcwjR@58l6D|8Ld!ci~Y~0C}~qkA}|9Z&dv)rT>|7g`J}q`t!fw=idqy z0X?w5g#8!bQBqV?0>3-*UjPSy`6~ZbzW-O9L3k9uQS`s+>EF|M2hV?A{-)OdJeqH7 zu*Ne=;2O`|#SIj`d%;`KNdw?f;bg zD+qpS1I4y~DEOz8|DDQzAKTXszQ#0nu0aqIM0M1c{OF{DGmI>;PZI*d6Jwumd2npveze9?;EKCEtMjrhB(!x8QeKx1Zncyn|%7 z@*hUETks=vFp%GL{@ncc!~Thn@4EiMi$9PF75p0Dx2iw({JZAARNB2GySKi+`PJWF zwuK6RF+Qkh_s*}I?WTx-rRSe5`?Z39t@NMO{m1%W_5MKUzXqi1k3Ij3B|!ggE&pLK zpvjMQ|3%&ZV6)$$`rhid^566M4|e?btNk`zKi2)5L;odze_zW#TjN)1{;UtE{-53d z>)zjB;C}$7#rV;9Ud)<+tbe8+3hde_N1L{Pj;REGS0e+ z_g&ALn)?5RiAF`l%}eG399ROrw=77>TYu6a;ItI;!Ce&eq&<@!3t6b>0k8R0%Zp!`zvf zfONXCsF8D|&ppKntnv}aCWi&QQlQ*QLLf#O5p~=O63WM!c6SL ztB6Fd5ZRvhBLc)A2cfe7EPpiK)uj;9n}m|PGTTzZ!ZLN=P?5fVSVb7)#&kTWOwO=} zf3|vgz~T$RYP}vq#D1*YcbGm(ItxmzV6qd#DqN=478sU`Q0k;38ia{`4yQ*q_ss&B zYS*7?;(LErpH4_7cae%tVZ-v@+n#6T<-v}GjOGDdk4jQ7c7-hoox!W7BgNbx1E;1@ zqO{$VarXWEQ8*O@wg68Z>b)Ac9@ZBY9=i4V@t|zyITNwq*089HcbIc1VY+9BHyRv$ zY&E!^oOvoKw6(i}sqsBfyIfGli9zUbAW`O9(mlMZY$7$Ou&?$$HnRO?+x{VEG2aTq z2NGy@^288#-*iCK|N4+WsWWLPmV0!+FG|9max;>C!ZWKS#7&Fxp@k;2e{FsmbUis7 zU*M{WA?%yi6WIbSbDjC@JW40od!bjSd|;z01py;+lGdhKOIa|VbhKZg)*s~chSq&0 z*E5oLmjxBn9ycC@b@atOjb^KQyk>Rm?rGK@a7XcVawK&ZE&Ti`JepJmzJP8g#}EIzJhtLWWk?Ta-@(!WWYFkF7d9 zJY%rx@HL7{A%;E4q1k0ZW3G*Eqq^Z;;Wx`8J-oPXqe3G;J;F+E`r@(;{w(ZQ6Vsi0V!%awdvg>N zl;M;VcR>J*H+pQ!&=@5)l^5)zRRBL`O%ZSHz-5QX=cRKrk+3 z!w2bbM;ChZVGZ?>A?A!jA>@Bm0QuBJSB>?&gS~lW}s=0cfUNBbDXJkt# z=t4%d_SP3)9)_r)l(met)zuO2kBNoCCN|+kbsd7S0@DK4h05Oea-Z{EVorn#Ea?fg z3L^TS_asVq;dHtkPSbC3^6c4z0L@AzVD(EK?v$otbsaVc(K&-lUu!4>h)%&;`86#ReDjJLH-b6G$w{9JBdrQ3~lS zE|+dVXTb2ZFczGYs2Iyb#!Z}hKCK4F)LoNZ&#avpz*iJwg4rbwPU;^}Qx96$)fHX7;TG08!wGz^%3i(w7!_0y4w8u+7We+(V}1>DPSp%;p{IiLT$GdaX~q~_ zN;dK~MoKx5!V~OZG>;q!{ckT2b?0*O9{ANV(?nNokF>o!r=u>HOVA5$cFjTp_Yx%?Un;2V~F+U+h z5;S@_N7X`fc5Gg#_|^LI^0jVMK}W_ zHXn>F&X#~rwqZw^Ct415x~sznUFX3iw1f&e8GlJh+>k{(C#s7&6AZtC#Rw^strwUK2tF;|z2x^Od1sG$PMgv_ zn@Ap4jf?yW_RlTYGMK=DmUMvX)WUkN`{*X>tVzl{!6}^Bw-@mge=;nXN~rasWEx_Y zQ(^i2;Mlhq)29r&jhd8@&pVJrcann!Vl>eBWU6m$3w_vxDU^J zfy)+{E*%-n-Q{rBJnzjuVpTl5QLW`Ett6QDmPwSh-zH@xRMRLRKrp^r6y8ZWv*>wu z<7kB^BoZvSLsaaJ*tIi6sywCp1iDsG7kNHF9BS-yVLsc%bK|iR+#OehzB_&0w6`17 z?P0WBMX6?{8wIuI0JY-;DPR#ay%Sf%>`p3JJ^AI%2}^BYs}?g67Wb3y0w#QAzlRpT z&GA@a_!ZMj;3VYM5Yl+_E_3~-r+sQJ1nPI)L5k}ir!zTH^IAvF240-CiaAAdDX{^N zs_Yo31Fkag(#_Er3X5rg1PAJMga?{JCjwpiL#)uCc}FNF@l@?(u}Holy3B{ zLq3*N70XEd$812GI2?0qlxyr>u2Hh_oSHc0EE;Q^o3dq$P)#_A3?FqP@+> z@aYQulql5%9SPHNSZ=Du_n62HV(c**2343hlv^?k0>#=g=4f zlWBW)u4^S1i(nZrMzdvs(_vdaxTHCfO(8-;NVe8yi;2Heho3P(U!W(l&Wt9a0w<2z z!>9cEWF8m=HEsx)MXZP8j}O&b6NDjCs+ejLaD(esMh3AiZ>XA+e5L-ks--jX?S zb*N2qk&MdXdg%vRKJN4n({|G@mCYHf2PUH>4MLl<;ePq-Rn)e@vtsBUkEG;s!P$^& zXocibWwUyU@mtjjd}Oc5ef9P+8?x181Z0O1c2?Tt+~JcpAUIE?c$biFdS{R~%G!}a zGrKf~WP~>FOg2F|p6V?*?`YX&sxLGb9J7vl_gm0R3OIJ-g@mvm#jsVO=iZgphlZ|n zE74o4_X{lT;Oi8HL1-}%DxKZ4;${#u$Wdt!UV8NjfcxEfcLFZ7W9cyE@067ieJA2R zOvWd>kH52h(^TAtlIK5@uN$dsN?io8PVzc-A0-Jm%(-_Z1-vWUG3|&ZLYll^HT0P zPOmTKZZk67GoGsC8m%{^$kA|tIbhQp1(E()h}A(MM&Rg9?3BXAck)JB=h26|no;vs2*0g%YOBrN zIR+i61A@eddEESTj1jAYeKu#~(7BPEW-CQDHVzR;%{el0Bl+6f!3VPMR$YlsD=+tI*42%T`IIc#@U>xlO6ab4 z|LWE=cFG+Rx}cP&EM#8i0UCS9k=e|kv(EpbXd3= z>4R2$8(#N_52+`zhuHbm3z{UD?k~GyU)WXjUpm7F)bh_(TLM2s@B~FaHFQmwJor@x z;FgaaF>t)S7gP* zWT3dm^(#)5L%(0BEptLZ9Cx@1Jb2e^@Btv~qK-ZXi=JL{3N59XJ{O=oEcB;rwz%8U z83Z3;b56T4wX7zL?j-_}=b$%STg>Pp{8&S+GJ!g-;9ZEbmP$X0LFBHI*~Ncdofr3& zv^K}$kZm>R$wE@d+7)E~(iZm*8S6g*+}G`JVrm3{;aI4Q!XD5W(oyDPA|X29vwFaU zQ1Jcxw7{cdQH1~L53V#88ursOFmo5twIf9XSqTae(TE-Qrq!E~?zM&mJ$&wFOgy(< z`BVbxY)MfQi|^(*ujoTJ;{DuAYsbP9i@ANiC+90o^1`f5yW*{xxD*@{HF>pCcaVpT z?)+wSpQZ4zLtL<(!Fn#9c@W~+NS!9ICKqRdP+Sl8`YGHe$GQR1p_Z(BY z!*mm>J^@>-31AZMMDiUW!Si+k>fU88O@#&*7ynt2HW^E6QRoR+@NFTTN3i5t=ZRqgaBk#NL~16UM7GBz45*5>`AxwA#M=_7y7g4tZ*v*0312l$%Pf z;ae7SBB%IWt$lkY&#{;skmaQOv-=H87+?>~IZV5bxDZP@_pEpaX8rVjS2tDH)-A1i z#tk{M+N@MASokwMr?a#md~#fNpY8w~Zx=-S2+dKDzz z)->LV*;0b&_zJG3X78S%7?z1O0nH&7Qt6|nJwT0eGu>xBnl<5lxwiefnY{2yiQP66 zGt|*GoxyNV`&^qeR`qGJ(K2PgHOa%{S$x^&YFm16$Ig|ekpfb{*#SJdT2TY0XHtr0 zj8^IlC_Z!+rcWd-f`TXE?%X5Eo*HMpm1ql!!FHz?H%!-n*&aQmF|Ol2<=V0Rd43s; zWyTnk7P?x7bqKAsnZW+x^7b+9<9bPk5i{AW-Et$OLoB!#KbVDREMEKEe6@A9p)kWk zd2hp56@NO&aKB^D5)~Y<<%By5D0K?8JvXz^yVep2*$90O2)3}8eB6rI#dx7*i9b9= zbLN~eBE5N=fT56ft#A%ql$T!^q{df38Bsv1N68+LUSKN>)dLeEq&C^6T3fa(B4j|^ z4Z8LVOzeYrVVV^>Nm?J%BJ~3zpDnJ`H^Mkw$c4%#rOS$vdhaa#IcADTYmba?q12{0 zkS!G9Ydo1?fPSO`aKi;!P)mhxw5K)0wis!X|jTZFeG#@ zX>Z`Aw>XCtqH!GctIw)Kpej5B*hEVD<{!1RA_)*fE$CC;P8gx{3@Oubx0tX;E~(4m zF>h*V=Akvzg+DmRSy=P6$q`z@efE9rc&&SAoS=i zbV;zVhceAeTf7t$%IeKUp{m%0k0pc-9_npSH(w8}WNE6mMl7K7`jBJJfEJ^~2j4XX z$cKqnC+!pSrmM}AdF02F$|a29b;aw+XqO{lGQD@2cT(x6P>7+J5}S#V^mYm>qR1F$ z@~qJ$%M5ah8f%V5-({wYRQq4jvqko80qkZUmF4huq3cp*la3P^}wW(H(F zWqidjJeK8R*q41ukGjKQNG)B^Dd4NIg*wCq*S7{-i2|%bDkL*5nert-FNS(HA6oc{93oFLl)?m{$VXyfZ@)_puq9>>VPJFysiQNB$81=L z5#mx0yP_7V#96YHE?QV&t|6ztW$%eqNq*x~K$*0YdIak%hq`U;vA=bp<%ZdG?56J| z*QiJHY*40Uy+E1Rr?rv~B7@nZ4li>AH%&Qq$0zF%FNxd^j19bmaUP>QIp>)ck*1_4 z^+$|%OkdQYoQ7O19KY_&LbCHP%D84SZmD3Y{0pp_DC)?VljAE7+2haC2NI&VAGIpj12|@^fdBWwQ#p)9AjR(jH4pmEvE>xsM(P51FCP13F4Yq^axrE4_GC z8MO<}{anjm^zV;SMw-LU*qdXo0qbZt_)yLgp5-{`HL>V|h-DiUf>&Tv&CU6yS0TT2 z_@Kow90DJ$wJ-PP0IM^}2vZ2|!G7I5)WW44CE5VN!#oz%MyUnqiY6hd(9)~ve4fabhi;bIOw1v0s}h}at=-ZC4en-3N{cnAX5{KLN|J?x2}oR zphr@%ucX8@vA1oY?~N~`vTY`7tFEct@fi)qBc@lL72O*Ew}hm&oei!>u{C(QGv>{_ z0p2rkNFPUWD=TMW#<*l~1FuYF((KB_4k7okkJ@C<_TXz_Q%jW7pMWcm6ZrQLPG7Q!ml(y(dEUo>_(7coU z3{)~&$q7VO%jqJ$-`DDOKZSFmdNURuJjjdq%1J?e`hE(j0aF=IPR-3zJTe@9hQMj> zxuTAk;Pg^YPRkOlG|lv|Tar!_h2NtF*#s&=F%+sTz1&c64_#+?;04;^6&=RRL#MXd z_zJfJ2hTH?DyV0Zb{Ij@d%T51%Gh z(hG}u!tYG&*~b(Ng-Gy$zj9Y6>??UJofn?Aw^y%rp3?$LK9q zW(;&om+_ic+S(`0!`4=rigFVhJOk!(JN|D|&=wJ0TW?d7@`@mupsy~QqqIP&w`bgw zn{1;=@-1=;i&2y|#vu91+&E|m%IFg*6XYCnM`a+-&3iHq6K^5eeRU6PBR^bXsqRzC z-$|x9;FXRQTzFzQMq9Sr^#pibox!xbZ0YF5;*ujOHVx8Lr}M4is<&(Aq zFMs~)0z?cW>7l>`<|fkwa;p*9>tQmA64a9h!nEJ(iYBpi`~JJ24CDIUXyU$?n@%S}bot`K0zFReTw5tP|_=c|xfB{$lEZF|nF`?2SMx!T19a;Q*Y z(!%1~LUCB!N2mA1B@8nt@0vi|4CKh$=P%CVU(J6kTefmyVR{7(=)V!0Xd!7MFN0Ol z)Q!u*Er{S|k7qEb*+AYNncuF+2CWm*IAWsCfw=uu8Pg?DJI{JA#!YCPs2;IxHDS-o zU!;a&eQN?l#aN68kxMi zN|jArTc3C4Wp+&y(i{3d%q#foBu-g-%CN7Al+vbHZG%$uF=OsNka|6hTf11psKjn; z;5lOf^W0vPIUKxdXGo!VP>1W3@smA%hGODKYooU;p;cs%;3j-1~TJ-azDB z)pUf6h)D22q|}T_*GLc{NN7#$do75Hg2Y`Ja8NL?8FQ4Nh!Cw44MH2(m>ZXsElSQ~&T3FdXzWP#t=`r5n)|W`P$4Dzed~}>NH8gCzW9bk z6%y$+wD*J7`w-_SG21wA#}Ek((gfhAX{}y8RaeR&6e3~}`o2 z`p+0Uu@t;cYsPfc0)=@B3^(D_NUft9Cu>P&3VIRal3gMj$K0!YNlI+B`_|Fe>f~w1 z#PHj~_}ui!Y0~Zj@;fsQ=@>p58z&BRDOv94#5MiRXXgIOVi;2%5$P&;GKRA!FB*!- zFjiXgT#=EawAcvr?{;yz_HIf*!sLTg{f zs0MxMni|Z3%T-CL!e9fw`AE)m#%w#Id~eyTNQ8>Wjrt4=KU*N?rF=L(cd{)bK=Cr2 z9?j%_Z!hYwd)n*0y}!WzaKSvQJd4oU(4``7Of0s5Q@gpK1mUqmA)x6bZLAd)MGW*RC?CJ&%<4^_@Y1R% z6oHvbUor2g2M`=xT7`rRk7+>FO!z?(c0yvQAPlx{Kt?(io}bWp#c!%Fq~cVc2tdUZ z(yQfrb!L2|wyXnL&S5$igq~mO3A_3ZV9PjFwDD|pUxprTgW9 zfYqHZ3K3-#5jP1h8pig(XJlw8s^*}eX)iyguyM5JI5s9PwZ%mzAsB2y$Wv*lN|jiD z)%xm?Es&;!$SSUgOSaifNu{q$agI@ZDl4P-{(~2PL0NyY*;Ftfyh~on1JWAfsPM~d zjjX8zqw3<@q}$A`b8$%-lX*AmyZ#93iabYFuqT7rfc)+YyVJW&ki;(K>ZC7XTIvET z)17eZrEedY=RH69!Jzbh$C|%-wdOPow+-llj2Bk6wb_KPZSUC3QKuU$5G+1{;OE?j zB*Iy!>sM7@#_zgSZscv`@HQh;^VoBS-pPxh%9=OaS^$2_p%CYn>n-nOX*qd|wy|d4 zUg4R^HjnO8+}GOR9SDHUp-3|rMeZojFo4~7Y1I&I`ieWmF!p4^0{aC9P~|lVk#4@W z0E>mrm9YY**TD0n%Yad=>SYEbiYgyTb|irXPJu~|ZG&BPaHOtfseo-d=q5Zc>z(CO zsWcGYrNM)>%~zePF~2j7BYyGaB~yq#0iUj+GBH+;ECnc&Os3T6OgvYbO4Tv?Jn1w8 zxa!Y>#PLzLObn@H61PWh@?monoY;tQ?e5lO<|h|5(N$k2ny>BHe-q6qIhAM8=x%{; zFpfdhUS00G!fq3O`G$#xHJ6hNljJCKs5sI!r6C|w^@u4wV!x2&$s<|uV&6Uq$K!Je zbkj$lh1qDNZV?VV22A=+!&g0S6|A|Pjvw$VKlj|cTi*FDAm7X{`}MeQO^vAe zEOz&qh^)$)z#+~f9I_$`y45>%BCE0U-k*iu3!FN&2|)~d5+@wVRG)jIne8>b!O7pQ z=-t{Jw<4o#Uzd;`j0qjBOt5?RnCmLa!p+yrffeIhdyv0v_C6u ztXZV;qfAp0+|cQmgk;HAY>?8&@LWUCRXZImH@-rTWGQ3H@;D?<=4$~=1Kr6JWM-$b z)EJ+c)jP@LNZT%+6n(=kXPz7YYIBV<$LUmghZ$IVp(gfvd%dY zyu<%k+`OUMa9h899B_v+jp0REBp&kip?RTaoDCzV{`3*59H%F;&kL z2oh2e($72>{5%zTrxI-o0W=&W_#t>)jfsWdPp8{BvvJ!_Gfd_Z%?LXLnpOiP9j#wO zA(eW`BzL_FFG8;7(QpP$}(+%e4(nRK;+=*uy9SMby*)}2lBBF zPtg2`_}TM?l8LAtp*P+VEG1S&4cPr*0MJdI8HlAX-OQ$B6$yLIFeUUk#z3zLN&y}r z8rN5z-#JR5Oi<5E>6#>DdXaylw^VuEQ7(n53@6|2pJ8eT!s;Z5y`Ldhn8RRLnU2uI$v1UCduPDWus} z_DG4fwx%YsJRAxAX86u1m0-G%;+GNg!`*e}k%Q)Iu2o{r;}YfTsME-)&OEkq;n_ZR z*DX$7ju3Gd!gS#^7*yl`XQ2N-L$Z-n!wHby77xs~)@9$RbNabC5GM$Z7Tb=syebO# zSMJX6ara+(e-EZ!{I}9o5y{1LHz3~2>j%+*0$TM4rwr-W?=!c&lnhIlJ{OvDGV6E! zPbI|RU*wE4H|#!}2FPoLpl#f+HMtdy9kn5jdMH)>4hS3;n_edMIK)VbyGfv(>rYQp zT?cD<%arG97Rnen188onbzh|O8K?cRx**`L$!{5@vz9_=&Y{){Nh)kq~ z$)E0r{*l-~oB>8)l(q}CS5PUpJ;>ELRH)3QK&j-rBa(zl3_N|hUuke+r`qlt%xFI| zRE`zks=+79B}#UUwgI^=knEk1%KZt!$j!*+1CycE(NS-JEaem2qMOSMqe|B__>mi+v0~@Hn zXSg(s*j5zORc9r7LY5FyMJ1%-!HrZ2wOv^mB_(AEjVN_@vN-VT?Lgo7sCn$zx@Vh_j<|n*7|Jz!OmM&k4v1SqleqgKKp#GqwQAuXC-V$T5 zH9E&H$HX2f<}2!|KYT)s;a>#!T{?!}q(%Mv$i5IH5uL*s?u&(~qu0voyPNShG6;dC zFz6C{M)Q1af9ZSrDCso(!Is1q!Ml$*>iA)foRHnBjD!b~hzR2c)y(Vnx-0|3SU0I= zTv)b&?UF{kdSktnl5kV}12njlk8U@fe=%O{U|k@c@2g6j1%FG~f3U@VD}CAQGkOq7 zlTAQPuL9cv-!U}s}M0f}U<0wI(@XhhrrT6f8jAP7I`cq$uyQwHB z_>7k19e9U0W?(yVtq$GDxpD}@9zIDcC%252HZJYEu3LOk_ zkhQ=4^bOe$t~vX&i2n1RIA!|jTcQ0G-H|+nPuou%)@z(#=A~Hm6DO&kq*6{qdhjeI zc_@3+H2Jj-c?XwOfmNCeEv*?mspvyF3@ZJ1OlVhwK;A<-(X?CXIDnsaZl0MaIaeGm z4*209Z)BpK|5Too;Q;#@idV19n*0j`g5S&XW(9{HPF&6TJ5Ws+Fai)I>DmWnXe#`{V(e2tu*Aild*e1XS#8Al#q-7en_>bd-Xm$X z^7l6FQ}avfOpgA0bZYs<8NSK= zQM<3s(5eqF(WSV9po3+RJq~UsPG&($1$V7HUD%o zyN`-CldB2#&aw>XgNRdyC_&ZOk=s`T|Kc(OKPS(Yf4iQF5ej4%e5aWn`LLDj6#5O0 zTL-k>n|tw#(oxjuHT?apOg;3IjF%E6eg|%*IZfqYIhT^=tCAWU+UBy}Q_<_i-V?66 z+9REUaG0Um^gbYjPoqm9kc&hXx1UTh@ zP&F46T=j)`mHZC(^(hbwR5+(;Ky`7^LB(ycGw9fau7>*Kh6&-n?)r>sQ_3vqVNQU& zbkB_tkNB4IdybWX&Bb~V)2Q?q_<*!oADZLmlyg$9;IXn*%tw;kEdL~mM((-*>H7dX z(|`jk!rW2ocnZZ-%WAwz9L<>M4|wNQg!M$OIU0IarY~n-KyNASMpA?!x?X3faLYH! z>0RoR2(xiHw&kYjHydo78fU*3sRC5t+UN6}S&0}*MzR#_{6^-03}|k7{#z+G$q9 z*=m6Q(|?ssh#v05Tm-GT+_Yi&dA$KMW#QVL`L=wb*AcfzdaTt0U?t2z{2WawtDt&{ z8K{fRuZB$TxC9cOeHFL6v`{$NY?jC@j%3}BV1S6QxzY^zxH{^cX>DGOtaHSeJ2SlmuG;0}d)Uqg{d+mQXL7z_G-)ji%?~hH;UdHc>TAz1zUVvW~N!S zEfB3~wbp<(lf5}VGQ1i$^DnQyq={R9esgW354XYEgqEF6P4DS!7M1X z8At#o(k+M?LyuMBgejFESZi(^_VE~VIlA(v29IEfy-mSa_`}VU{T{x4>b6y%+GS3c z&)e}hrMI0n!1?@##5||!lwCEhk=en4O*1)XK{@g{sr%pc_wz>~`YOO~@&Rn;2>s=k z&H4)wmd{yzbkVBLt^j(%LD1 z@$ zAe45VMdTpiZVt}N3H_jfJyOHdDXFJ%A4`yYGS6=ITnkz~FhtD5ZvLatn#q{|IsA#Z zCuNXR({&fx)Rs+B@Z5XYGe{S>{zl$(e!-`s){NoYt3K2Oq`t8v@1>Cv^q$1RwfV{` z{58P4T7>sw5;L@DaL@ww{x`OPWQfPeXK~4t8;h0@{wFejNn7@SySk(_LDUMqe=jbHos z=~$d&5Ste*;3U9=C{Kp78ATofsv9##LZv;dgV{W=Sb9fcdOTG;rYzYr?@5$ynT@TMW=EB*Q*VJiZEFJCzr{oo|*j!sQp zFcMO9poYvaML?3L4u3bt>w=gQmjFa2U$iden8uON-~Z2&S98`FxGX{TLi4v2s;+0o zhhWl3W8po1HkV;R!?FTa&i9g6>gUcMZ?YHvOeOa>!yoeavYOM$E$bX3ylp>*<*GBc zBfmImof2L1e~W}nBf^v!`Y@Ti;{`2oub$ryygZo1^w^-ZSS?$5X)nd zN2RlHpWxG=-n>wu_O-g4e<-LM20H!c?JX(|IbQgSMw<`82m|4Az%-3t@9Len5&?>} zH{3Eij7L<^I}mulj_V@%LQF7MMj@Eqz2%)xy+H_rFfyRWd> z7SXcm?J0vd`>xxhPOtSM;0?$wV`sBjy8l#sA4%(ZXQH({(x&H(PD9L6H#Wp?(7(2aLsl~K z98y4SX>7l|3mq@{@gzCVP^lzn`-W_awZ$&T;b2+RQ;e=*s{OCyKw|M)iI9>HlSfag z(a0*p5%3opX-{LTXSmn7QLOgL@QSbdpRK~i^37J++1>0LU96&v=(yCJUSsHQHuRX? zGhZJ@R@U3Oe>3ikEw0!=K**-bz`V^yIHzrOjsG&41i-u^c$N%l4(s(b=-;m*-&*N8 zoDt1^G@T{}lZ$8q-s|SwJjTM~s+Ju4o4td5?Qq3U!p@TEZE>4#29b$Dy&c`_A0}ka zgd?X>UHbF=nNIZy{Nlgs{YDk(ft(UYKZ5~HI4V+N#Zy_I8D!O$(?D_{yeOisO11n? zUlFKte`?jku#S*e8d<99s+r&8i&|1P5ZPZBFLg+g8)HCx*JKK(B13aUigtna-KD5= z0ACNofd1x4IB6Q@LX-n_PIN$~_A0&(w-ZJHC7;2S@#k-}sQf8`Ulzp$?J9P?S8hFv zLpv8ce}4ZL^tcU+aPct#p&>Si-~`d!h%s}z^|%`B6C<7&FZBwlj7FBgLNmio=Gg+R zvbVG2Tp8$1?!3F5meA(Bvaf~SNd=wFHzv9O(`n_WtQr9&R zBxyR9S65i72RGR)>HqCkeA$#s*=<2O>j+X>CIF*AT)&}(t=+v(RSq?2X*;lU>8rpD zM`BQ~_O^ne{Lzfdw&M0|H{d{_RM*KV z&&J%hEBt%ZKfmpH^d}AB4oun}eLP&S^Ua^i1UUgQl(Xer!()0!Zw+E=K)gw?`6E$o z18;qIHNDQ*4!~t_d`3>C=GW3l6>gP=NRj-^K`EsD$VrV(^Cq($$ zQgT(V27QJRlg8lhXLZ_4cj$jJaoHrsC?f9q|90%U{@XfP6X)%xxj#W6DP79j)T9`6 z>hz|^3mw#F)<};*s!~E2>eIkVLAC`!YhWrEK@Q;>xp$(6gmg@29gx(bsDxqY*a{r2 z?dkG-jv9K2nL8JOA>LbAX;Dj27nu)ybft%#dkSh5e}u5$cz`5{17M}z{Fv;NJx))# zHogzBc_L$dkYNA#>4?iumB{=smLA(73DJ-;)D3isqu3{&c#yMy(wfZhIbx;Q?{(Al z8RNT9S2viDc-Vi8bTr+5pRdJ_1p+}XjcagDue|o%XlQ=^vb58_5@EEi(!u`%O;HfL z7e9BWrV^L1x_(I1WtyOMV6$O{iNDgTkR5t9O$gk5!@NvXJv;J_=*C#H`pg$jh&7|D zKEb0B33*MrI2^Hx+OQN~Ce{5g#shC`YW>&+uXH@w?SI zbD*r$qhaxiI;} zVTw~e5m<}3X}!G*Zu8y#c8qHEN3;4{GJFX+!yYBFAI*@K3G2mwfP5#)%ocGD6 z2X$t^{XsQNL&N&BEhl!FfbpRe_qgMF3=qK?CjX7Kr`$#OmY~e@7 zh&2!Z5GuGSSe<;~#uKj)e_3WXu-U^`Lyf&!Lwt;mq*tvlBI3dUY3uj3YAO=ON;2b-tQtqOZHM;^^7L%9tEL&@y_F} zJY$E=6Y{ICd?}Kw<#d`P)_H!$bX?P~dp)v0wTAKOA^4B3%php7VIuUXL~n~2c?|*` zr8resfd)HV*h^3{aE6R3(M@wb3K>O9B)iED;oDV`dBppyYYKG+b_sI>cob8*hmtU^ z%NvR&@`Qif@yN4)WCy0&|1KySy>gwpmLLtM54iCAPZ9gaDH2PG;1|3;!zJUCVQg)2VE=`sTK~{%3LynGt^FYFT&RGv-E= z>1>{&$@w(?BS*NX1wP6i4OY2R2X6+vlF*aZZxR#@Ok6`%<^HFZT zckQ{x8EQH5nJw#;B}?Uw*a0jG5UYg@84{P@9!2Wp=uL~Zpr>d`*y{bG*=r!9U?XHZ z@=5&JD6A$T>I4*W3hCb9Z-*czA-(viX?mJ=vR`sZl}7DlhC!~6$N$X1s*3b7uE<&_ z;S5GeZoW8&D~19gW_aWIl#L0lDBTZRXI}hK#_TW*HaxQd+{YYN@aUP@bdocV*5O#HA*e*~Ww8?G!( zpC}oiL~bak-OhY_$`*{p1;=G@ft)BiTPDp>LUB^s^8aB-*IM4U-CqFLvt4f3-l_n82M&bhgVsDyU81>AIR`vf-a?J%K#Xg2Jys4Z$6O ze?Kv;%O>tuP#XF3|0U1g{9ilo0T*SG{11~el2JsG5)@HTa!!hXh(rZM5F`fy0Rd5R zh9T#ia}EOx%#d>)V8}VCpn{@eK;9k<>+ZRGdw2ie-hMvsmCnrb^wZt-?W*eT>Z%z| z*Yq+kxiOsJom&~n-n@+Rt&B5&i+*bY-@A+<_~wk*KQwouAe(g z@_2%mRMf}nGUAP)2Fn%Eb!05xPR6#NP}P8HfmLz!vrs!5dFi_{AEjzJnFP2HGV{E8 ztIGxZJGYe?t3>4sDK*n=cm%YPQck!M&YCrk z;q+Q8HVcmHyx7fk9Ld%mHYcx&g%muIeR?+9r?!+Bi;lwLbup*nTvCgfx0=aAk0i8Y zn!(>Rea82k zhIHSAY^>ne$Gp1~T{bPFAwQqU>1xqKzLS3-r^gDX-(|PvhXR6*O|J7 zrz|IjOYik&;Ckuu-GLK~=W$l|mD)^d#G;dNDG94n_LQ>YY?oD}YF#5m0_-~aNTy`% z*PfO)!Jjo=+4a1PcjNV=1}3$<+MX*KCkvvJH-p2JPRUvyxhfPEJ32RH{+S6?BVN`X z?Nb(NXf~^GaFKRcx9pAAnS7ob$XgaKHmZ^X-Mh2*Mk3QAftE?Iav`D?@^ z&)dDzPw#1aT|Dl=UaCV`9$zB|U%?q8JE)a`-RE#c-YOXP8`~a%d)HoIT1dfMn{4sw zr@fcGIy&^0w4P-wEgbr~*y-)EUBUIC$y1Ct#t!omh0ZUsXZ(h7mrk0O9a?KA#ootCh6FsXHRl}tQnW~Z!%1u z!dy_Yn1(HI%ch;>WKx{xxI@j8o|J33^RY|7#3vd~YFE(7k9zk)bR@A>$Sna9+HQ91 za;A4V2EwFy=}Noa8zGa zKx-uNQ}i;O2LsREO+@13(Ovoco%lefkAk}aU9M4eCtrGBv9yR?yuy1PX|=hZvPsjE zk|xeEoip`Hz3F{J$GN(ocxjjPYyslP*P#?uyNLRZwzk0(RM;9bJ3{vmH^t;Db6GGs@-EE=^K zFR|gp#R)x0I7ja=vSTFT>AAu;f|Yt{Q1*_1#4|$yy)z=)7Xsfq_*|e}x%&Bd(m4-} zdWF~Qp(oOH!`BDYKEoIbBF~5i88OG1P&iIOXt6~ZOH^f9&F>D@;%+p<16hXLDM@== zyCZudAJ4@t1na)oW;Q^%g^3LFp6569c_oc}%W>je_nT>^si(1V>3$dmDHcLKf+s3q zw=nNJZ-}lns58b=E4%XcPO4r%9ru>Q=3e}wo|S5Ny1nD_!oV&ND*QEttRCVISZ1ATiVf)!h6#MOTmP=cBzM6&DRfil^ z%F-5IE)_KKy@PaGd9C-!2Vp_^x%eQ@6v91Rj=y`|%-R@QM(ZSUmTttI>fGl$Y<>O< z@-eI%ORfDa^Lb1&LlIGJyIoz6?dLb}-Q4Y*S&|CX(qZdnW|n4JLUp#cj4$gk_9=c| zO1PzLO7?R4y?$0$p|mXHK-B5b;wyamUCSBd@m!CnS8(kp!{6O1x*l#)i(9&n^?5!# z_crI{##%ewnVIdAyK1kZ_G4F=FKJm2F&$JfMQ!CrEaaQx;4;$Z+i;<7^-Di9XNtA? zO!JgqX5>b!U)Q{)L#|-c#nc&xjM<(^Dl=n)s*lr;am3jquU)*gzf=)^Ya+^j%3dsI zXjk&{FiQ+Bg))xSbFoDK9r%(72XQW4>GG<;wFZBAnaI1ZLL9E$dacz$l<#~8DeA0W z@5B|;gfa?QYxglrvb-oP();4zXnqN^$4hRk?1ZLVU8V>%<9oUqG2@2mUU-5n%~s^` zkCVwr7@cb^Cyu%1(NL7t_{8vPnD+3VFq1c$AM2u|c~bY%5>g*)Ci+>Yu(O3S+RqB( z0p*i-`l5m_HuEKH4F)gXKA>pZy?mD^#NQm_vA*kzqm;^V1e$8EU5AMV+rkv3BP?zu z3+q2nE0(^nVsGcid?A=MB1%Y{0}83NXiC`WcsT$5d?Ww5a3{0CE)=VZ^pQlsUB|WN zU3rf^2!5sK@EVz>3+ltl5(@okUn4hiSxkgAke@tlvEz%`s1YvRiAppiWuli8`H&JB42t zxnCswfn1xBn!!|QM!JC1vgj!0TuxM>&V_J&)~>TKax(JabuJ7~%tzLzTSzp+Kawfe zvPP`vlERsj1DO|%vq)*z)%RFJmyTe)>JBI0>Felz_ByRvHa5*?FBKE_)ESa`-lN>l zbviY#XUDd@S(j_NTj(l-KSa#3MH7?LdAyJJ)yMj$wOIrukM~astcmFu%)Vo4R?lBp zLG7p3=|r}gKvWx~6UT9NnfGWg>PXt3(p3zc&^;MZDr$YddDxQe;@ylB6*QB%+S2j8@&Uh@yrRfo3=ImIQh#9yVhfz^h%^| z?p9kb$n9XhN9Ld29@L}ND?j0^@u1IN-&~n_dm-hT|2bSE-p#x``KeIq?DFlQ%XE<+ z1T9)Ev~yz@>~7^IZyabP_+MQoE!V()fO$X@z*XI3#&<0%VZzAmoFaSZoxq}`O9v$K zQ1RhOTZ34oO$KM~a}RL$k)#q2VBVC=F-$^c7;Sa09=8%m%N0GmzVvpCgRe-y<)KfS zA>oeSfXc;J!g3jD2kWDfP0NNBvDNpub=j++-A~OA920rpB;?18%}-o$Q@XB^?#C?elC_;)t<+Ekt_J{diHUpx|a$?WIf~^C(7EL<9D_x`#{;CHAN{ z>dOY>m>fTUPod)T=^H~DHR4#p*{pbY2R-S}?db$%vIUHm4@e0`!=`shXax16! zUdpYTRGljxRb2sQGR^|EDy^)ogsLj``Xm0TVh7qgS=@4_;J4HtE_%Dq`MTk%<=-@Z zvq?f#nWU=TOuxqWnH)p-=o$mKPt-b%uQH@I8Is5G>kI&H$O{WEApeoRI92e0y?ZHp6_iugbpZy#)F`KTfb~*{siL>_1jfMSL_4~G)W)Q7ZlW7wxmbz7y z9O+o@Rz4(n7K1>ML^dg_KwBo2PLVK zU(G2Pq@)x$7@$w)CQL0D+OCk>;@j-LN$SqtjDr&J-Xg~w$*|Y6E2S+o5j#n>+oTR# zfn9boej_SL2^B44gX)SYm#9no;`f%-AS&Ik8M~%bsA)B33VU^JSdwv^S(w8k&)vU^ z7b5b~tH0($s-t(mJcH~s&7${nciSTFrBt=igWk^(j#*?q+o8~8GhR014>Wb#og&xX z3KHuHI5E(Jzm+#2WOMg9Va-fnJ(f;#drwoe4p9n&-_przruXiOl6Tt@M$!1c)q5mgjq*`r~r~rwNweCXCV>ybLT-r7%j*)y?ZqM?2>>LBbe@xg_P`<=pr%v;BbN2}E z&BxhI!^6!f+Mgkle=~~zn^AFb$q!Tvs0dJDVPQc*L4JOI9-!PqLSNDz3Ml{w#E6a-WbFwnhQd5$X0jI?H zxR}UrNRYp;x3`aPKuBbKT5d@-tf{TDtFxmO0fSbQ6y#=SWum#{7Z#V4f$&dRX-QE* zZcJookiU<&mzTF+AS5CtAq9;jJ3A{2jXA%lq`VT%9M;g#h^B^y`Z{QJMOiVB1Q<|J zNf}y7RTZU$xfv-5u~CtcQ8Dq!X<4~IvRSFIA)Z!RS40KH6b(INidrT%KVst(;NxJt zd%ik1F+M&qv$($bVtf1fljZ4=?xxzZf~?d;y9X{VF0Srg{$LErX&IT{C_Ozj^{X_| zMPJ78MOJ9l6y#>5r6i|j^p>L>%-c|l1zMMZgOLC)g@&wGobJS_BY-?cb)1n2!n zqLY^_1LD%N(i0+r{R1E|DLI8j1vzO6K#gC;3HdN%LCnYAQXXj>vx`DpF zf#HccWi|B;4KP?Eys5dVp}HtNCdk9q*wEC`HzKXDvbsDs5#rQ^9F~I2=DXr z`H7h=++*itHI1zA+gTZENOMuWX-~A1;W$Chz#zgv;pi)`O;t;JQ9(^jMfH}oPgGVJ zw6>}+Ehfa@FCaKPIxZn8B_qEA*4oipUy>dh9v+>LoRSy=@qJ`(=i(EVm|av}SzX`K zKe_yL>)G1E*?xQ`li+op?V5EF1%=6=X8he(u>|OwYV*FVk6}m z+4Ch-m8l(`rc+3Ke6YDV%h6-BL~BL2s$HDcI5Zr60)qnmeLNppXh`sisarYSyQQN0 zC@elYz{3lYkeU$c?e6L4?_n%`iuO47Rg*`)L7`E}h49ghcLx}sKfZsnIn!Pki+^ai{~cOLr!q$+xwL_W4j*O`l}0-bW9CdTF>iEU zb3Y>CCe^1S?3`4ynStJV%L;}Kdq*!^Qc}1ir+Q0UQT(!LK!m@MymnwtalC`NVL(!9 zOlU-Gqzmtu2B}&DDc@CX6Tl-ZBrqg0F*PM2CN3pAC(&1%i(ojMkN8s7>c>e4p7+b( zS8Sq!%$V(wk8?@&L%b+L@pq5-Z&Q#yD^y9xUnc#GTx7iM7aH0y{$#Z)-P=7PzbZFC zh5h((id|T^?M3%Y35{b-Z(X`JktqQ!$F8Uduw4!+De*nEPA;#_OUmI{3JpISjd?B? zo9!(5P$Z=0IT^c%EH7@De&L3umxQmE6d|<`NpK6xxdTI=V^?)8Chv@;i17^ zW}5ns0=%>sm)k~GIwu}ydR^Q5F~WYza*eO%BR9lJU}Z^ z+m_RY)S3E@nRql!yT-gPnIJt(P)kEb-w zCN}Zwvd9TGK@wOmy^IvEl&+S;q%DK+{V^Kfwm{Rz&%aCdAiLjY-FKr2%8K8)!tGQDLOgMq^PcC z?s(7G&KCj+jf#y7g#-tL#Ajq=m)AFqzQe;`0@Z7kC5ybGY1zB_xX!rm#-=tnj5Og3SPLteTGX+QAP8%k+pk3XhcMC zKv0mE^=%Cm#j|aV&R!+5HRj#$GF%}Z5@Hs%qvWKRv&ANq*i6D#Z|N$lIY6Q#qti<& zN=wSia+0&aF4rl zkN`Wy%QnGYIyX%fnYivHls7h30_P_74(pr7IW`@SKwqEG@W7xDcO$!?5L+cB#d9oz zd?d?rtM7@(spy$bo#hkY7ZT>>I>XMwKzH=$F*>GGtY^-jKE-!Q_^hDpInpEihEDcY z7RH8#x0Qs>ar5$Cyui&X#LIu(#@*A?)!E6`+Sbaz(8^q0PQx!cA~-N4Jj~xWJlaW= zN0@1k+&Bx-(gYm85_Nw+p{TO_;0Go=)XG6oAs$Yl*%?9hM!GkYly2P+=jFR7By(9w zQ|p$2k*S%9fsWcWISCOVAz@)5G4v-tH^1_2Wm)aJ!h{S)fnZGD-rkM|chFT0tQ=h) zKXUQ#3k(hp@bmF1M+TPVnQ9Cl+*C!w-EIu_YHO|l0(%SKXzII4WLou|!E0H3| zeb2yXH!0Ye@nj^=!=Ql3%H|BW$G{17HZXN{xo=}_@8tB@14!7{Kfu?^!}Y$I!R?!B zYMM9Hm6esRUX>G7^A2!y_SRz;^hryOj*N;5_3?&80Ur`LR-vI`5HN8fA|t|r0|R}$ zz~&to8R#Dvk(8UA5FQ$pkd&C1mYG)8QR!iv(cMs5A#H(bB!H>K2tz zSr&RfAiJ_GH#0juIx4-mBtJJNBPA&z4!HNgt4~ZwjE#s04Gi-44oe94%Yq>%Ix6zB z^9yrQ6OuA=8&}>;X2v6iks}#Ch>iU0En29ubjg$W^90^8kvSE436PN3_~fk2jEqDu zg5*@-;sS3wJ3BKyH6boK97x~S+snh_v6G{nm9?p!p<_blP)Tx8C2+JWt1AnN>l^E8 zN(=LIva>P(0Y^9^EiE-6CMq&KBqS6P5+S-rofmaq+HS{d)rluCSv~YM+3!=WZvb>_Kzz!57b#me&?$=T_Here^2n$43@-a0uRS@4b2X3YVOin1<|0lJpsqFkLe3hvq~FV zngE*Cw$_%W#`?NiC=^;#T?J%TURqKJ042qT2Swy{E^U6;TNqzhd$P5?wYdIzXXoks z)+a1NLVQ9(%r{s^$cRX2j#CkA!0Yn;{bTa#pwN0m-{|l_|3H6#Z&z1mcTabBM|*n< z;L_X(tE;XmF9GAt1=}=`k>Fw|C>TGWZ)tk`cfB|4t zWdKkHI6I^kHBM~2!20xLW&7>(<)^!wFF$TQdAI%SfPjdU7<>2W>e35rLLw3ZES%l; z#VM#D(L{!u00HD#4LC~VRyQ>|b0-#{vI9FPjm!2A*RNp_c^x`At0Tw1EF6QnY z=GzxLi(}7rre2bg5EJdM&MeHY>|zj85Pf>SHa;@e3G1AlpI%v-Us{--nVy{jh>#XVv$YxC2ycMZ*3<#p zCbaefz^*M zF3ti}GZQEjYJ7Bje0&T!g4Ww0fYb#nqoujI8G(Q|Hq_OFgEka~XzS=lj?B%Cpqk6; z;p2;_>8Z&HFpA;f0dST_z#D3SQ5TmLK=()ph=@sXaWMDxaqtN~qu_}8_PVfktT!*7 zEiWvr%`Ge~tql)9+gw_npIx0And_572TOuxmtfbK5Yo7rFj&bYgt4r+sK?qOGyDzcbs>rx?~b zKEJ%Qu&}teyf{BIwYWS#H$64Gw7f7oH8VXikLpG(%*=v+6O+?Z)00!vQ-IJq7zgqK zn1F2n>i{Z54vzq99~uGjL5`uOrcq;KQ{&zJy@lB=Aoc(jV05iMAW|?Ly88!*M+X~g z`^Lwn$9td!)m?pXu!1(0CSG)>P;gBl=$0w4hcKZJo6&LH3dma2i_;UVxsqL9E>n}r3Zw!!j?ps>OCyfv|v}P!pgf+K!M&0A^rlcn~Z%XoEt}qwZdC z+1u0C+25O+T-^?@s%(Up)%T;T^bQR60^JUe43CZ>Q7F)Sx~H9-2g= z#?d>+{M_s;820q^^b9arWKTD8Y@ntB3>N5S1O*V!O#$4%%m84t1i{(@>6L|H>4*f(HsSbaw~km5i;Ff_Dv52N2k`oVQyU43^~ z6D%zzD=4Z5iA0;jG|&Q2!4$AoV7TBl+%_gpSWbxci+_O`dQkIt_y%q%aWl?r49 zT7V{pN*hBP4sxV_V4x2zoi4BxgP8(aw6!Ck%^A^fSaS!gyA|xL&2X@Tfb|QlT>z?o zu)lAhqqlEhu%)4+wGLLCo*teJY;1UB0tIYz2CTtjV`Ct$HaRgdJ2TWfGKHF)=pUP# znnLx~RaC&n7iSh0mzL(i0sw@GHX{HFy_bxEWfDxa{$ZeuLu>8o>gwqPf@-O%Pm6-r zHVlA8sTI-C+|b1kkWd=#uI z=;a4(^WcSEkHCTitZiZf9Kyh!*@w0su=O`1>Om-_vaqTww=&?2WLOiT6hvhk>Wi~e zvzi8ay1-Hl+@gm1>hf|B`OdDa4)X`$;;^W=n3U=^b!PSSVvb|a|_sH>!9T& z`T1E{IVrh0+DRFY5YQ43HZDlZNX>2SY3~GR;EnaQHQke8d5T^tt{7abkyAD&y= zKG~X7+J{CA)^P-gIs*?71WsF80j$13m63l}Y%PB5INrY2ZpO;uHXK}Je?bW%!8W?{h72-Do6x~hWgq{O5maIk7?LNow0 zz$Yj!$V<;mNyv@&g@gtBxko}<`$qC3>Ux`6fbURO2OL6lG619lKxUw>vAGK{?SvK< z6qQ!h79{4u5QtVVnL9dwDACl`29(nZ-a0!vy1|~>0UR8lg&Hs!OS22o6O+RtBO+o_ z5DyVMF*#+WMMW`zvE?mr1RMr~0(ZBvq_iL>BQZHXGBe&gIKV3alG)JM){&V6Z>a~X z6|4rt-Ah0sBOkb+xjA`7B~^{}AQGOD6d4wql#vVx&8V!dhBbZ(JcFbGa6W55LIYY? z4uN!MqoN$R?YTLrDX|ezJ`vFmvmB~0l9DrklNu3~Qwyu91Fgycukxaz zyo{u{gy_(O7;j(y$L5Y{byaon^0Inp4HRTZN`UlovokW%K~e&ol9E$%iqpcQB7?jg zTmphaL%bY3lS+z8!QrB!0-ahp^qoP{1)W7e7u0}MM|pV(V3G%p5Sb~7$&nG!KK}lG zncSIl@nOj+fk8>-!1*aHFD@v~FD%Rh2bAp8*og43pddeI*FY!k%gHq$*HctdR0#eR z3-kh&fN!IUarn|hCUhDnTL5FbTTL>6S$`d;E0#< zC1V4M^Kw8J86brN0&FP>agmS!e?L2aNO!hEh*wv`*H7qGRH7PX?Xb2pj!Jt8MDl#AdofGnPQN5()npB*gkPIeTcvu)XTth-35J;e( zkEf@n2M~*!+hb3E4_zHwH!m+2{mU|%S|WV5QIU|a(9lpwILL8Dg@**8QTqo328I9v z$LV1377_$>8x|210`c|ndhpQnj+dBfotTKSg`P)bL|jZnRCriKa7ajCP!I@#1qHf2 za&vWdb$5T{8_@LjwatV+*@S-hMz7 z9&S!fE_SA7rpCsG`g;0z?&#~?($>16p`oUxp>ac7SI^*%j<)sFQ+fU~6G!W^R1f2(EG>QM>b0wi z3i9$-WTm8KWMyTg#6(0yC8Z@rg@uGfC8RGYT-VgReqCGlrlz{e4MW{aeB$c5H&oTH zD}lJ1it2SWwd-mcs%k1%uPK9GF3DVy6cG^<6%`hhkrugpp)l3{<8fXYNd-L+1<}*d zzNvccnxedtqMW>foZQKiZ0sDI=g#v82=ScFJKq(47KBob2HC^qJEf?5rnG zvap;wb&{2pnUN8M!?@4$Nl5VXiAqTb35bcZ9-%%fBrYK)E-fJZ>DJ>%b z00{D5ICqAXh4IAkW5*azo#MR6#VO3>L8E}j#dDTZMCs~fIcY&5QNHs$Tx=X?SV8}% z_IBTX`1lzM>*Jf<-47TCZ#GwE#|B51-(cYr;NlVx;^N@o;NoFpVdLNt;N#*G;^Pq? zp*YTRii7JcJKO2gtc*--bkF-f(lZ@rJOz3KJ)S%T{Mv9d5QGBeWCl9Lb+T-_J5hUE@9@Yd@HpmQe8eFpBd4IErKKRk$HB(M z!@wjY#Q01^Nkv6_^ypC<8fpr1a#A8<5<{>p=u!>= z{vI|y7A`UF+s*a4Nz`z6TWdpAMP*5TsjRSojJ&j{h@g;^w20^xbxpPF%BmXbns;r@ zb#zQ@AA0%t`1*RGCxW+cU_@$ePJVUA_~QDLwUyPiCEzD4NkAqsG*KV;Q7@-YwIiX zGBVQQBOt+$$hgFeGH7|t5GqrEJ+uj4n3WptW3R?{=EVNk;_lYc)1|Ju253pebh@Tu zDK5!?G_PoUc3vBvq-SinjiRcV%nhcWFn#e!e(dtQA9kJ#p?AKxsrXWBA9$CnKqpp-Rp zaq|uc4)Aogx3Ms~rNqZ{jDdj?2b-Lp;TZYBXl?I%Vj_GBMmCNM;*ydex#?!BCB}#| z?Cw#(VHj1M8{+I4;2=PL>>>|6CC82BS0u-12=;dNFmSM64`hH`hn}pQCrJ05x+rwv z6g|^vR+7cR?ITo}y~+N8p#i!_kzLy)WMqsAzF9Rj#l=;n53ZdqT*7DO6A|DS6=ubq z?J4(SrPP2#hr|{Y1&AHzxpMgeJ@&{1g|wD&Xa@%MF-n5B$Rgjf;bsKaY%P?|(cod> zU_WijtJ@%?IYv#mt9D6{i;-k^ZesS?0SWCf(pMuh6p9{UQSpVHGZS?Y_bfa^LIc2- z;O%awuY5^b`~ovMF*)7IvmzSz!B*jDbd7UAPtwPe-}cri9Q^l&ECVYugyQ;UPLcV= znVEHCbN!Xs$-&C27x&|7q)x-q_tfTbmQa^h3>xrGi;44`AjZVN#(FbRli+h#oQ3|p z!c8-e&;;O-fxR=((^_4Kf&7$7@e3MGQ5D(QJ_Q~k!NHDR;7*C($;S&}W;pbxK z;FH%>KKCK}foEKt5sea7*hdkE$n4UJlI%oa>w#XjH^e!p_DAyk&GqImSS}mhce1y< z1K2Tu1R;ZjRd@knU}A25Y5-o6on2G|zSTQ2zxjH5b+jFv07{C=8wX}r<_2Izx%tJV zg;~i7iAnJheom%(+M3s7MJ}E{!%TTF-`&W=Gh9LzFby<+m z2BOQ4qcieLq44I0iX6~9IVA~v|0LYkRD^89BOo@rtg5W;TR1i87VO-B^@KvaWbqIAegxRG~ z&}t~!zXjj8s3}T@c;OI|QPa`W(;ug2U|~PYeUX=sk6%zkR8;5!2LlZ`IV}^X0QlO6 z5=c)e$X~f~MedS}q_~)FyWJfi z%+%D{**`qo*HV?87@L?`R8f|f7#0+oSWpXZ1bYIs4LQHMGB?_d01HJmymxZ-<+}r3 zK`|LcHSIgb=GL|jPOfh5?ryFRY|Ra{u3wP^IT{fOSp{YFn>x4k4GfJ;%q*;|tSn58 z3~uY()KF296Tiqxga3Z(>Go&*BUCh0WJI`_pFg~P1tOzE-EA$c9X);hJ?)KEMLAh{ zWer_O5YIw^U;{YrjtvhCj7+a>zkBy`d8D-t3LjX-AU)2?dH#a(HD%QsXeZR($>ouo z2k@=DJl&jZO~D_)R93onUG3&AeM4hYa|=sr8#@PQ*T?Q29sse6<9%zB+iI8i*=UI{ zKkj1_(=eQ3XFqv@h6LyR=Hdhhkxec?e~*QSkB7bgY6HZGR<_eMbM@qxU!Obr$A}nz6EGq*o83Fd^z1^Lc zFP=Yt{_@qkeJp%pGLZHrCBS_9Yzc%VH}|lK$S5hv2r;%MI_hg+JxdsrtO9ZxdM1`8 zz>Tx8u(Y(YzGq`+@9@CM1vs3KAG-m?eE|sGfewK$`323xLpUaPv{kN1@SS0zCB?(o z+kO3ZADe)b>evY;78Yg(I_e_?SbN|*P*W3AbF0tyun3M&9|OOgJV8f8PK<~7VR!rG z%k7=lZ{EDweYLamdJhAal!l3uUs6F;Tkq~2gS$pX#wMm_=9X6XZ0|cbegy>hyFPSw za&)+FXKQm0kc|zHq`iZqql5i@TWfP8eQkB6%i;p(Ihg6Fju7Hv0mA{^Z=-4F)$84N z@Aol4E}N8``WQVU%PBT?cHq@9GaNrkO>u;nhyWj-fRKokoa!h&GaDy2zlhXjMP+rg zLu_#<8Nlkky}iA|7XnxJ0SsFkn|s#Qz=ACS0U>@Nb8|CO;3eNRxTB}5gZ5XIuPR)* zBqJpu2Ao+z0e(I{US2Rs`S|$-1Ol~lE4wZboq*cqLQ+z zy5>#oTVTfAH8wFb{+khq?*EVeCxPFQK+7Th&cnaD_zReyzW)kJQ`29C>=)tu2GuVB zn&6UvB>p-~-&y|%>04n_lcdx)LgSJ|{716-)3yPkoM;H&Afc~8QBxD*7dU8GXh|Xd zLs9+2S`S%$p&t~39{N{601aS^koW=3;pL%-(1`w=lnz<^!r>pTzM}xVz76wx6A3BF zLqKTJfZYQy{;sKCU;F|J-N|ox{>cAZ-#^p=gOoTN&>^7*EGY^9b_?2my+mV>l0x^@ z^cxh?(!T@iOYtGNAFK-9AD96WUuE%~)1d&+`afiU_!QiJA2JX+0{$H)LcCE7{Rs5( zTR2ib;F11*eTeagCxD9tI9mc-fTbANoFxyLf8j5VK!~G@01#jSfY6Q6pJHh11f72E z=!>8bfY1-WLp>b#VXa@$&&s}5IBWsv3kq?xIuJlc-^}fM*N1F=WF#r^oz>SKBoOFf z{Tj>nI=_YVyZ2x5NJ)O50bju!g8cUM_db6!s-IN*UB*9ufbQW3wxH6NKK~h%Z}qL(Td1cra?{g+1nUXOo*>94B%+DQJ@*8jKl5peXXC=Qkp za6I`tkW@3+?+&-TpBlkm5AhHXnk4^v-rqRNd}l2KE~Nk%;2ZoG^@T=(CYeL}@5$x6 ze7*wt^6?i#`pNiz5zALZf2D|IzNiIg=Lf6#uBE?TVc(VV6G0u?&|fEY5?e#ZNEA^oanbW3#n_)Cx#ee-`wUvd637JnE= z|C)68P38e~`TfB^>;6A|{v!gAvOyC%UnT|;SLp9m{4xEf%zx7!F#E<6{rwL3w~X5% zDg>et4GH|p7|<7(U-DZZcO@!M8Kk4ji zv!6Wq&x^i8`swKZp#Pr%MgJ8qG<|9I<@#suf6(o}|LA9o{>8F?pZQN({)@bSQvI;g z@8v&X@#l(u((}Jr^aC2u!w=jK`}^how>Q6f{BQF9)6IS*lwVqXEB;pU+xtJ={~uI5 z?DMzJe=DYcg!H|}Z=3$Vx&M_wehTsb4WIv?_wxS%W`+@)cwWq!bw4DE+lRH)&FUK6 zy~gM|YV}y%EMs)6ZVsb!_2{D+b#!xdbHwOaU5lfi-^+Ne*Kq%FeLvSNB=rA_>ZOlj zO%k3k3$3Hn5(ftyHw%#8aI=yU%N9ykY_+)*@epwnQ{$)Zo-8g@uLX9tk5ti>a%ZmM&8axQjoCk<13joTU%FC?ajE3p?%X0EVOu4vy$^ zX!5&)I;H6Z<2hF6ebwY9^%QXz_0)r}c`S0tm6@2>;jn8+B$b8ct2?fx|1TBTj*&_o z8k$&NA9?+)>aAGsu4*9poa*fynPpxH!hkFJASByoGE~ulSIp_A*IzWg7T~m_8nJC& zMWoT0#l@7J?E}Oz3xQXe>Dg|Wno72E*+newkU5z_%kZ?-DJwPf^)IS?LKGCRE|L|f zeXFl5zPhhC=81G`4R>$(9r4tZ9HnkCBNdUF=9-A%Wed{M@U&}pTGr$6>$I=5mOFr2 zRM9v^Zy&o$2QuYbR4J(7O|sDQfWlLqFol_pLUC|VPpn+zSR{W&xokPTudh^b(+mFw z%+3j2>!OhmGE0OdWCwg_f^V3r3knYC>BZ>BFbNy@J}A0|BC9QU47>e?4VNZE4wwzz zlYQQWaacghk1V+;T81FEoK4tql*W6BQ^oV_t3 z&OwAO8IA;u7%bjL!?ECpE*J0BI4C$vp_k@T%uB={#FIpt2Ztgwyx}McAu;-s3TD;Q zBjKV?-A4|F&3?+=H1Q-nkB`$MwE5RymaCosX}8$wVs6*w(prFhjKQoCAN75-8TIb0 z_eB0YG3Nd4!8sT=X?Q2fc*&W1O9Hg{4flHGy2?4ie$xSs(r$vmWPRYKXjqI@OnLgj zY;$t(qBF)7p~yl5viK^UzcWj^we@&Oyu7UVarMabITAfNn$T9Tu}Gt7>xnF%46W85 z)k&<*oz#+cR^5m09CGzP8)OQGO_Erhq!=2!W z;SsaR*`d<30q7Gtrn2lpd@c{bXj?SVB?9M8W*mM*TExmw+H_NIZmt+=2fWBWMA&bB zGw?L8ml~=Tj*YaOs2=&%41r3!~HGKJcp+zDI$iMupt6VtwR8n#R1R7G{qsq;d1auLkc=Q}poTzqieNh(jH zn##aU56C+P_p@7>>2>yl8h&5C1EJNL#X^|0Tm|m;SFS`9NAmo|_WDu|iYcNGiFuMG zmZmbpv4rrN&}Hd3CCby}uceHq^w>KOzfHXf?h1ODL@#y(Vi+m5nhe|P2lwwKsKiC( zueA4E@Y0{~yVHM*;Yh#M-Wro{;*r^|({Y(bo@^4GMDb1AaCD3f>_}G;Fx^C5xQlR0 z9ZiuouuRwRfDA^Sn`#7&kBSH6R3)GKPt zAs`uHfN&2PdQs5Wa8o^3JH6sr64N6S8o;FN4yaB(E}&b+Z6c_(SlT9FMCt;$$CtpV z^WgFJrQ=fYB^%3b?4B!E>xe8%kK-c&&v}$fT&eMnDQl6uj=0hi-7|qVHq@VbHz%>p zH>K&>bG5?VcE)6Zl!M70nX8g8>AjL- z){ARp`z!g~^^D3jbnr5_TQ>u97jJCzicN&FCfQq4EY582hv0jPLVhqlC?zoh?`E_m znR28WSsJAllaZ1(qr~06o7q&u)PmGr&R)vPZfim<%Tb(D&m)py>|L*EV5!kF|i$y?hk)+PtE9ktd=y~=Hm#XW$H=8sy1;E|chSFZfNklR;jZ!#8q?XCCd zh}j9zRbuMF=r><>C)4m~cgUTLc<;bWY#^DyaAe}M$(&6gOEis=`aSvEL$721>6{y} zL7_D|ZBHOBZMsP;%AwT z@YX@T#LTqDCaQ6a3i$`RK(!Bl%5z^I>sfah5@SWAB@NFV-C-d-RwPN2+0?(DonTLD zJC1gDA>0q%`@7?-{H0SZtE8Of7~VPI*69NDwfSSKrevvD}Y)?Hj!Axj zv&K=ZS5KHQ_jnC6p&ao38QR%Iw%?xQ}bw@Ojx^TqKxHwHX+}Fby)Z*2KX-pRw`hmLCpO*4q z?9kUeE>lY zggAJ@HVUgmph%3}Ej8NkgPbruuT{3Z*0JP$GuDxC+WsQe_@1gd2DxnE5&{$*Ost1` z9uIh-KhN4dsr%p|)|edAyABhT!FC-Tig^gpyT0zqAal>uwYxnk#zn|e-^tm_UQ4%y zfqAUb(XpZ9RfqljQ(9LhKJ^*P zMwp}?0SlQ@*DSY$orv|}JcVs#8#YjqPOvNI&1rw9S^)E4W5`0dyH}}iqTjV_qsP@h zlUV|bTm$HMz-!HZs*w^CrPx~H^3CcsgjvSH>*<)O^|)l zOS6iRIP^C<@t4saU(~&J4WcKmF}G$z9g>UVMO>52>W<4QFB2ZSvrp1R6$R%Pd63=} zEV)s12>H0~Q#>@t5XrF%U^)E85sU~bC*wtZp1xG;Pw=(_yuqL+mP_ozy%80A?lg-% z$IQtn?lg8F4B9yU=zMA#Q$npp;GPZ&2HzbeeNX{9U$y@nsrXpSC=u#S4JmyE%3x{u zhqBxoG=2ip$mZ54mZ(+>v}fYrVU{DMfBL+HFwb&P*V0F3^KaycM15n*X|lZ)oN~(^ zTti(F9A6Q|m8D;^!{7g{YPj2^Ja5YfiZ5R`&b}}n#DzGd7h6v;wAZU9!dDl=uwdmv zt^E9SC-60{)O=uf`k)6nHB%-lOEMAahFWGQt+SW1>o}UcM)K-&YXuY7dvuB9b@1Y$yJLxX)D=o!F;&C{{HXM|;h`koWqS4C!E_E~#))ZW(Y2!79~4pxwdNCK?f5 z&$>okw3G-h#5TZ7!wDaJ((Nl3LDW$5GDgXul_ja8j}q|lU>A+vsD_%LIkpDRQ6J}9 zZ*8Itf+t}(+l-p@h%1Lq=_|*bH(UE3oxGC8Qp)Q~Np!)}(eU3RR0QU<9&UoLcimBj zxAzdT1hv5vOp$lz9e%?U{x{IsVZ(+O8LL3@1=6Q$3|&KCd)IfZbAwWPPv2Cf@eCie z^wqU|jG+occov1kM>c=EC5)W%<)6$@VQzFoq~ z0rGg}u}b&0s8Lm}2se@MG<3S!2oczrBw*lDnSj$sFISYJwhN2=88`E7Dt@ft_1Y%=ErmR+VT!QspEJ>C9cxM|7IWu}?#YZlaFv!Pns_z=u zz)C<{O^6vVuW-VUV%{FqA^#yw(7}fX)ne~Ta9`wO$A8$|-ScspZDux7l3tRe>Ul&# zDvs95-j*5=94{H5J^Kl@p*;WYpcq@ROHo>(1D0*FdI$sw7jyLg!9Y#g@)9WOEjkL| zFlZLM2adY*UaxD;!SS=i<~%y_euvN@!$y|^8GS5AlWzoMhQ)&$yN<(GB>+DLVx~_0@ z4|OZKJjHeKVvO~K|g&B9T z-M|R)SIIP_p4bw12Nt%MYVVR> z8S}uP@fcZc1tb@V>D;l`g6Tran^iGD&yITA8YbhHW$%sPCP%%RsOXK{DZr9fF#J@E{>Pj?be=MkzPY$h8uJ3Y(6;n=ct zg!vNK_hEXMVk3w6Jc8%jx{F89XnW-wk^&Cv{2Y$2sjZUZps~pX<3>5M%Q!pPIBiej zelol&E2(8(B3i`9W$KTjn&7WKtnV16*i5B&OU7bFie2oo=FPvyU`JK%&}*LtpSN+L z@fh)rY9qxymOI@}yvsxaH$v)BWiTH`VYjN7=N|ErIQDod^y9+v21|$aRYX^KxZwe@ zQ?!K+#V*QIu{#kKOMYU?-9#RE+tOF9m=UdxH*G5TU0&1IkPM^+YGPdYTE`IN5-D7A zSx5&DnB~*mlzmmFsdmELeYO@tAAek|v2l}@&q-Z$QbsgYn3LMz=J=X4@j~(FLPsQt zoVd1i0mRd|QdUR{JaM0e?Rhyr+os(Q)^R0vJqw0rqjj--;3MdpDf+g16(TrI}qaM>KZvup->*|MB&sI}3?u8Rb{5kZ7P{ z=%Y|fkTGq#aYhU+p4Et#o#Q1f<-A_yT#FU2LoU%*6H68I@Ab zlw78y#E1(OE(;U#86BIxo_TqpPxSlB8JMCp`T6jWJ0eu{4;B(wdFBR!s^;A=u?l2Y z1wJNR7DvXa5JvBNmb;drbm-NCiQ#s>rUue!S0*a1!VJUlby+#>i^B>p z#Wu$(RuaG-DNGp88*>e$$`}-TCN-i+8rI`0F@RPJDw^!@{O0v#($Z-oAm{c4B5fn3 z%2P7KKy^>$Ak$3PEdFq1^TN7rW1m@*K_*K?gTmeoYCM50p8lwZPJcr{Q%wveLHk*i|*#es-hwKVkjYKo@j-1D4%D08fOkas)YCd>wR zOOEgrGPJdeOQGl34rsfwm+Nk~EJK^X^7!cJ+hOWP#g-iRLf0=Z8ssSRxxl)kIZc%t zVlH$=(pa`c5?ZF9xh}8DekkQ!A8w)-VDTdBhDBGog>4=UxrNiWe+LS*76f% zJHXuYhsVE7DNUTSd-v@n-Mz2K0@Gxln)faF&ofyj+AB-xyFAg7tT9}q(uTv$A#lCY z(T3*$R8&&6Er{AEaAcVjM3rJUV{1c>JVH9|x#%?AyHtj#q?)`dn*%SAG&vjtrB^-Qo4Z z&Du=mqHD)OXB7e`kEf0(h0W+BG*5nucS&Z@-7(=%DrUiTJ7k-;v9*jE<+E9?xQu}p z-7{fGrvj$7fsBfa|DK1FbQN#mweSPliBS^Ml*Jm4dBG}mNliIH1G$Kx#@j_;0&~Z1 z;3}al&OEWl@Em4_L8~5ugF(*Hs>+D68N*SCCPv$>DgL0(iz@hO!`msUCki+nXP<0H zXX>6_$y_U65t6flaOsz+4G2S|45N0Un1tJ}v`W8gU(z|%>F(9E*0`>?-v|yPVhJZp zf+f-v=e4(e%+8D;JAqXFWQHsrk;qJMG4QVLy03`+ZjVCPZNeY}++Y`v{spsGpefXR z+|{)CvP?!8e)b+We4T4HlxkRjIUcXV7%Z!*hcPWLut9GU2N#f&w#E;e_PSdapU3wI z*kw35r6`QNv$3&fJK)b%bg1Q(Pb+_(8tx##APUF8K#S=g8tuQpWy^Sco=c>~bN9cN z$QxXfbXY_9XmLcn2$rR(0C@~Ofi$%$xinAB07!Q(8 z2LbUNw?dk8N~wtEew!!md-Dh9K**(hUC;zs?V;6Xq0X}v0YkdRqc5G@1%Fa@YH!$# z+|5grN|wju8f8YE>j|zb_nu$I>8-dmBK>_;!YG7$boFjO)?>6Iil8(1fNZ2?$-I}* z!h!CQ1=rS>=2dU;hNucAAX7OJPjMF;aN76PKB84Jlu_?Mv*OZ}w+4ph#mcU$_B=wR z=fmqZ<2uNYa?jOsvA4CszMJpd`nrm85obUR8bC|EZAvuWWUGTaoSYoD$_^3mmxPSX z3!_|*)kTwft~M5$Jo~^7P3TxmZ1bbv6bUg%9RXbG&D?2y*Rrrkuvwp;l&J~*9%lB-RDbtvl`L^gz zwUs26Ro@dmuL@7Es*U*>x#xhJ-K}CrFGuX zUZ(5v(!96XFseoTD9mI4l1Ut17Kb+eaBQq&o|KH^4JV9dTskn0K zW}mq`<5_YO>3n_kY?j9#;o%oMe+kB`(wi4K-kY5BA}%t&V8e^#dx*>tC7{<|dRq--@BAb0#howl8$d3eS{z1n{=$y&dkai^8+v0C~#IZk0l5 zIy_q?Lhdt$?Y1rE7pIE0bHUVL>2{KpTDEyg`5qS2iw}T1kcr#5&TGB=x;!Q1o<*>; zK{v1)98jrw-PrM1?Ita3g+IZ|hmaduDYD`<39i20m^Yv{U4UYYKuOTmO$^Q{oK8lP z0`=H>HBMFIL|jb?BTlc!W)N|};SHs5!7OYvTx}^P?#&vq)*b?Sjlw(hIguzz?CL!T z-#foRUty4<>=q!0oa_|acGitTSbHY-w5*C^#06(W+jL$XBCIjwe}c=%t^${|BGGpg zC%I3qh>s3QHfhMge5lhZ8*cJvH7v47LX+H2<+yvM;Op#+X_b0e9I7Ih0a|oY&pw22 ztSWVE@TKZNQ%@z4VIA~Gf>a#d7FZ@c#WGxjt1i0 z9BMSrBvXI4o(&)0`T;&$9G>zyV~M{Ta6a^1^Af0pc@~o&PqOP9H-Bc+kR9@A%9OdYA!JtAVDh9xJ`6mRK{lJ>4k)q6f4fb2JhVGe1Hn41Z*W)e)o$*M8L{bR}S!t$B@RYXoM} z7y+m6goUZt!`E)<)QA|n+xQ^#dnDEAGg$Z+6z^qmt2nV*1NvfneV*E(Q!ERuee-0e zYpTwL+PVruummy%-7p?l@^$Zx)hasJ4b5K&Pv!b*^NyW7_DGr+EW7Z=mLZNx(0Q7B z;IUevqWIn7vP7?$G2H_V*GoaMon^!@VFFa*H@W?c=3fEr;RJZrN={Y zG95y)*k~{_d2zU&WjEC%OUCg9kJd!oI9ly0TP{Hs$IV@k5nw_p=rlInG!l!^-;a-2 zo9kc`O;1^-z<=sf@}ZW&q3jE4=jR8CT3r zs7K&8&yTZ~65ByM+wp2^o{-E|(`w+jy{T&k9{`maIth!0{l-Yrk>lT-7Z<=9*+y;P#vXy5>AF#zXmAB`X>E}n ztv_%6&*Dj?_eYtAXq%B7;@DJ#4dTq@GfM|dT56C)5fWuaHS>@E9X>J--#b-o@D(HY z3gV!`XuIhm1b#zPkKGuuZy#Sp!z|?;EisyWEZA`5Mz=SYYJX7=UH_7ba7!(iqR|o6 z?Wid5uZV!bfl(3cfrKL2LRUYXbb7{5NF2L^c2#q>uS1Qk+G{=lVT94*7MWgkn~O)) z=7zPnm8Tg2uXK|&E}(i*A}9NyXNCV&Ug&R(xZxwn*`C@sMCnnfuv-EpOu~Dh2Xh5X z(0rz4;YFiwsLU2)0}Oaen|G*_$=s47sS;_wKoeey=qz2b(%qrmu+<_@6Xo6R!p~XZ zb+vI#Ll&MpHE8T{gR7?aai{(CT!#XN?nPZ(x$xnRh~HwS*k*phT@Z zjCq*1EIYf#eR@s~k&)0b2adK#J7OjaeTQ%BYqv8>1OiaGdZKoAd2GRhJ^65D=>F z5@~i&p(~fAQ0dMkao4wtzL(`qYhfwSWHEb^?y|@%Pf{S`;94v+MkL4O@ok)ge(xg^gDm9r}0R1Qk26R7u=2iY^;{n_`=6wW@DtA!>35Bf$kp zsZvOZlh?zL;@|=LYChmAvAqG36pa-tnVg(8`c=2S^w>1Nj(oRb%b}fL=091FpC^rFrGsZa6M6*!yRnNbG?C09sIGIB zDLr8AwlS??N8&QfK05R3iRMer61lZvP8dn^gsg=?wi!;c%;gOo>g7a{L4>6*e=+}o z&qT^s+YWsr=RgVvF$5M5LFZs4I^cLFsWbjFfBhEZ4SqXAcM(t81MJ+21`$h7ry6GcAv_q@p{QcS(@vl zx_1N+K|z2=FhyG|yndfI73d(~1n|=)YOF~1p7l~y+8n{)$F$ZYe!njj7z8uV%(0-5 ztDNeKMAA$ue4vaRojSpNaIs7~eUs69VzVq=5VP@oHfafZZ^X|5# zlqAR7R)#h&_b_Nz3)nixc();(1F7<67Z~-;6U_4}EJeq0$;1ag$VJNDT|@69U@_oJ zkYRJ9-3{tfoYsQ_#saOYU0;0I&XTXRDXG@+7>ZHWZZ=CyR+1nkz3flW@$JVy1@V@BR)T z(B37fp{1L0%AG6#`w)nDl~pLik~sGK>pr0<1tR$pAipcu%C5+Y|P0;z4x(l3`TOLS;f76QsAq&GSq z+}AoiB-c9o8O?0aWh{Cacj2MxUTRDBreqHeDdTRln8@8RWi);`>XVKMNsM~+_btSy zmfb%)Z#&l?1~fLGzehbZY^l-hw$bcc^SMUtj<-cBo<)+*lbaXGTBWUbA5BxVnQ^&m zAIm0Xl?GKYSn3|JD?ikAvYqZMfrcd4FD|9)j?H~nR=(0POg6meB=pn33h2YOFRh?l zrqT>{GsyeDlnb{~*7)6KH#BdFJ^auEeK3)_UF+f~G3{3^GIb8;IfQnF41AlHwd!tf z8{S-+gXro&7G?%(Wm_KjELswGA<70UG4!TudIYLJ-4%JeK&I9D+*=`d{dS&WJfnky z=b6FrK3Jirgd8xW*A-5x^kGYftvBcT)Qe7bFEC|>J~ag{wk9zxNM&+BMF{%dCOJlf z)uh}oiyklxA$od#)2>33!@}DWT;>YlPSXq~GR=<-LPX#XX(T>cdRB}!axpVeZ%~88 zLy<>GX#pn%+746pkj@8C^Ncu$I+gprUJHJWTScE!uJX|I_At#= zJT$S8yXtF(9UjUF3O0mPWRc;#6L*$mq&37X=VcB2F@N94PkxEctOn=H4aOir0 zmDNU%s$%nin1?0EPw6EAm|o$=suxNvLIfO4&?;`RJB(u`f)pE#6KpDw}4I9ry@^0L3M5c}j&=At&8U(-Ca8v)zZEmDcK>lB6WoD7 zkL<>@X!V@1g9haZGx#4Y1+z0KQ%H)htoO7OHUK1t`WED#NAKxIXy1$)lgm5FdqK<3 zG`{@{*JSk*;^ofjy@m38yHXi~=V=ghcev7yrN+(zaSknSQ?P9eEYl45;&6I?Xq=U+ z;d1n*VxcTYL(gJRvo*AlVsZr^-b~^Df5y@OGbj(TSXq)B^P?>y{{(ydi=htrWeD7= z?{jK2C0c*&4yupKyK@}QMOzru*{Uo+v`525TEu^;#V=cP4Sb^uwwANkxex)S;-r;k z#D{NTM!Erdj9M*_I)DF(w-HCxx{+Qlrjv)tzGgrA2Z|rhr7w++IHp$rCZoJoSKhx@ z3P~i@8D$a^F8Se3qc3SVT_O6-p|E^}N2P)E8l^3o3F8nI&h<~F`G=0veQSgAocjZw z9wOy}9<#z-<3?>lAXlEm4A%sh!x!b;DwuZ+mz_QwcFw16ythS6z)K7f|Ga+OP|5Oa4D+${*Dxy+sNl8Is-Z=2ANVT(1ZfN@tSOlMZISFd(g-7WPU zJNz(Z*oq124ILFqIrj(}IrFBYy!vEq+bJGOV<^_NJNO1&Me1v116_4!8p`@<`k2GD zv7OEXak-mnN(L>v9oGf3{Kmr-oJ=MZBnW#qU&q3QaPs~B1S^!Jz5QkH@on^4j*$P zAfz%D%`Gn7@drPsF|w9c_YDDqZ`>i;pZZFEd-E{i_#GUMDQ&?G{4^xJ!)kXuf1Css ziDMbj$>n?zcF$;5xYi)+lE&geQ`U9tazY~+-%;4?jGQuCku0eH)Anf*Lqti{N2s=* zoJb?!QRc2TcUeIDOS2i;_-m-57WL;QFFW}6JA`2uNXzcJs~|hj(Bddbkkkc7=9BLr zhS+DLb7P^nAkKi~gF|4(s6#I;T^(^EJABSe~i*a-f2J5b?A9Q^l03=ZU* z!9?X2Lg&MCGEURq-<-?%pBaf%q9{K&fJdEmg;0Zsgdssox1E>+Aro0BH`B<|&Jx4T zP-NKY&2P~2g$p5o)46`fJ{S4=jf+b+)Tahw7*Sq)X5VV`D=`Fh-@P$XyixP3 zm&QBaB?C!)tNa`E8&}o~yS88uMPSos&s|L4gH|+e3;dmUEXll9A8lKbs<5+}`@(}n z|AFBeyx0QuSme54+5$tYK9Vn*f#Hik^t$`kXOtpH-`}$3o>O{iFK&bW9huOK@}EU7 zkg%lCA^rIj6Y{ieg{gM>C!QOK)d5hBS}Z(|0>4^to_#;|*vDa7hw_*K7nJUwrTO@c zmEIlpBe~ym3W(b4X(DnG5X_wb6nnJF`e!4cfzKAbz~!$Ukty47k)qtsJ&#i+I@m3{&BxPA}0X1JVSgJ{V-6!!p=g<;yeQlcvD$T` z*NefYI=aDw@pF!{r}CTfWBz*!07kO*Lth!|R(qr;m>}Te8)M;uYWY80>O$S?U9q~8 z1>gP*1xEkX7XBYiAa<OMQ6Y+A^ectG|31I7V6+|nO!7BY|$oHMnwuispd1EK<1-N+X zqpyOed3HR?JGJ~z zmwdiL2h`H%4G^`>OS7e@e8ia=e&$-fY2BeRd2vmNOY<(}8h-NJdFhQ4xfa{fox!*` z>ysM#LH1kD;u|J_g3EsjofbyuXTM_+@~fT4Sbr z{&~RGGYn-Pf6*IOz^WwgfTgyaZ|WDvnT#MLen7;M{Js}6v^M=+ej*-LzOe2d`572G zAfv53RV82h{)whK37m(Ke)RM=C8dDY=qf_-Q_Aw^H`$M*!GcS!j@o6DFOF?2GKNf6 zKU(=JiQklGsoeyZnR2-FXWYtYJn#PcK}i30)45oTsO2=LdUafWyP^1B+3lIqzWbrT z>>Vu-mf!ZLNhOEK(o5UO`aL`UWZ17`Dtp2qtv|kDRsMQ`@A9d=mU~i-Z z0g7Xy@W8Nw1t>H*ug7e=@@V;G74X8u7^GSSc+W{=;JHj1X!`}i{hRI4(871SnBkpR z3G~m)_8i6+-bC5gZy*CSi;G7(sKnbHLlE?F1CR2Y({Pm1faF{HYw7Adq=H19+J`k` zRgP&USzd`7 zwSad>=PAf6$*wI2)y%%)HN7_sA+9G;aurPjq^r zeF3<1Wr(6nVY47h&W(h8Adp-oVoK`*{B8CJ;Z(}WFCva&`Ect{41`M-4bN!EGLP5| zR(CL7gO*khpK%KEpneDgA3rU!N{*&JZ@;%7Brz9@;TJgVXKH7tZ5-w$gNTK`$g;iR zha|S{`CKBg*gs34)Lq%qIhJqjC08vdr~G|!p4mrl5>t#7r*3P-pAv55=3U`TfhQtM3A z)k!y7PMbo;upQpx1X($?`}FG@Y93FxHj<h)i^Dm>D5E80(0o>(jqIQ8+L@4J1x5-J*MKbth6_DzFrc=bYHifephY_7 zypprb!w)jY%pLbI=N8#mg&UFXsCMJwC7{}+Q1$~Q4%o9BX;CTUtst!>&?6jd>N?!b zCzg}JSOk`1R+meur2C2XGlN2vxKcHP+|RmeW_hGoY?sfa!HcEp86LMH)98KY-2T5m zfxaSkr$9Q!`@%TYUw>u^SbXs9LezJV07rG*k9-r} zy{)IKE}R|k|hJ+yh0WFipk@_QNFf#-i0g`@wjct4yfuDxmdQ@m8` zzt!1xNC5;Q0KJ+q!x^SZ3H(O-Ep6&^v4DJd-YKl4)mP5l*Wi)J*$#TR?vb@;!Jy$nzbqhehyh#cqbysQ zpJLE?N{4)eG4#|gr}G4CJdFHn@A1O${pVNjq?-_d9~{bP?=|ww(P%cbu&X<=DRrf9r01m662l7# zh`dXIeE;*4{nWL(oHp$*)NlA&EV@Fx-xThZPLa8lY*>$dzJ^u@XR zg;D?fG3ThJPZtYYs~)0W{Cm}+&k#KF*nHS=&57n%EGH%U)@RbHUa| z^f9o?Zw?+;TijS_i}kkc$WKB&6T(8X+DgSjs;1WV-!G)IuNJw?_d^UeY6vc9E+)y( zC3^z7B-5^~EpZ?d#j7GC@`uR}jLDSZM?{{@Ci5#TU5l^l`L=y?WS)k`#A$AKssNUK z5TsRAT(0ZNoaP^O--izBlj?5$6vO6LbBo8i$d7-(`tMrN=|U1QV9 zFA}-Y=|5p&q04_k<~p=-40i4ueoZN7%_fpU`8*+|3A{S>hNrpMaXtZd7ES-4wS{ux z>b8}O3=w%minsHGuWTtwa28&JWQag; z**3?oax3A<`&B2_;-dcve9gZ6&AmDGW1k0BoU4%U#k6Z$^WU~P!mtnf&M&tzm6kNL z_7Zc8KnwC;gc)~jx{dlTeX;5oOb)1ou=vPN5^)8#G7`DK`)V=Skrk1E1NJl!ZZ46> zO(PS2HqmTbSb)^_9oo-RUs9f5q>g3`eG1k(p~KFGV@GL|(0Mj-K1xPoq`E zs^<$o5*6Ao^;j*oss`c0R++0rtbw-d@RlME|7CkT;+qKXy{<*BA(&+!SC95EY6KV;P}of4R8Q*S76ga` znt-gZ>}R3!t))FAcdlw|;Y7R5|4Ngh=QiWRP{{fL@9Nc6m$~tXVG6p3sy6{LCzEOS7euYAG^MEb>RcK5m}xXxmvb`q`G3mqE3uf z2cGSnkw*5ey)`_g#wk;qYd?#+&9V&pzD?D#A0j&$=DuqUWQg@j-MM`9H3XL$c1GXT zAQgh4oa}Bzzle@V1gG7U+5pKg+RLufvxVAjH3$xchv@x8=uOx)qgP_(wc`86kpM0y zMZjvwN7din99iMOHKg0<+<~J>WIar0$d0E?-Sb{++m>o?s5ZM8>!?4gz807zBEFbH zNBKmpO&$yOA-47FwD5?RX}frNJ2v@AMe^5zm^B+73wi-9bbTHCYeG|uyG9jd-KVr3 zok)Lwu8+;hY-2+9rcpZF{x2~zZ509jj5GlPB1x6=&bY(OU*OS59o7g<`h8qWu|GJC zKTS=rp|ob`U_SqR40dUZnb`heHi|kAKu0yu06m8NyCm`rVghVohv*(#>sR3Jq9DsN zEF#|LkgJ6VEzebZ1i=X#2hi!N-M%xN1_l8;Ua@K9Xz-Ie;&h2rF-flJtbJs?kMUP$ zS>2Y)wLO){(5l>dJ0f~tkP-gSy+K!2T-A_K-Q?D-jV{M(;Kmbo0cho5|8=9^Qz^iz zquE z+Nhr;5#N5W#2xz9P(w$aV3#b?6!S-sf6s8UEd9axc29RCBa=d>{7KShkz^bL=;?a! zM4l4$ZJvpJ`)N}_AC!#zNtGr_v9ooF7Iw-)1#L^lp!aE=m~(h}NWUZ@uNcw?2hhvC zST^>kjdGcwNqdTVRm^ofoi#UE3P{$R-(%?HJTcL=FFc}$v9xK$ZNpk#xO;^+Ox@HP z`SCkPD$n-o(qztQT7LOR6iR?OOI2_+MA$>`lgk0vRZNKq^nwYEvB8-`;YiuFRjrQ#Z)8Rds*-(Z>ML!1qDJ zKb;C`K-+a}Z9eQ*s#;Bqni-gN9p zwR=Qldl~@%2Z+69&A1pRQ;6iw3oc>9FA2W?)E0m$`MSBsej?2O4vofITb;Lg{;b*B zAVZ~)^ZH9j;N8|>mCo@zYouyOQ2r4ZKu+OZ2y`lns(%E3&S&@lm&%BB7LJas@qqsg z5HPnPMUg)zX;_opePVWSMiXu+e*S&IU2HcwZ_t<|_QiQeh=~7NkZQ>$Q6STST1U<1 zzZA8&Dt`wR|EsEUUj5G(QaR>@tTb@hH(%u#_Iag^DkL-N&wTVxB^nbGgpJI?kooU% zV*x5p>mqdn-j&W)nItBQgjp%Y5^`L|t8<1w;?#KnJm^2*oGs zvG+b8@ed~gmyv*&CWiQg;z#gVNn`ii&d#KGo2p@i)t>w zsQVuFkjqt()U!B_|M2LuD1YAGgN86sHWV@ZmZQo#&hf?VY3W7j@=|hISXoFd;m569 zmi3KPr7A?w*o2^}6@8vRjzofi}qd*kBS;DklH>sAj+gbVST@K2araF%vK%jGD90*1SRRi&!9 z=J{zqNqBG;3S0;QLP?9i*<0p#f+CM*l$`}K$~(j~s{JFSg*>h8Moyj;yi7Le$MGm_ zU})e-Mxj#t0y)bftDxquW61!mKvKVaDhhVHL>qk_osW!>Lo5qYxFbbitD^Y;4NjZO zxD2Z(e7>jL`hMS|(f;D3?C8sXJZ0MoAet5E=*T%h6 z9CsA_V=$I8LE|J{#L19o`;7JJ@=F%gRc29n*P7U0W^z-FwAY_Mu1%EkwCp+CMk=&w zMY^LC6T(a|KNpCmz|;>J&ZGOrx(xl3IbSP_Z_WR&z3UEZGTHickSe{Z2#6>OA|N7N zR79kSNEJntA|ky=QF`ya_g+KqNgxCQ1PHx`4k98bil~Tw6Lfc7-QDZG&))CZKkfjM zOgZN_r_7u=^AhRJ&XK<6Q&v+Jnh2=#o-cb#<)OYUa2cb=uUkPx99b~sg}=f;_F(14 ztyv-8Z4n7UqQw22wAbG(Dwo0tnaFCC?w`R|SLCXP4A{ZUNJ_WV>Pk7qyl74;B)7Ku z!c4NyRIE3@ee7~V?wyW&;o=MVZY}v~B4MhpdRN#yT zSJt@@c1%mw+Qn+aN%E~;f|`5_!O_&)ioH7y<|!2>8YLG!FtFz`ysuA^oQ?M3TqiIS zpBXaiu96nIa`r9bpsUppy#X#B{pFk+N4N&%t(98uF!H}Xl6Net?@Z=h?$*+x@BLB&Rv3-8PQ1H#pg5Nx%4U3kN5aT zhjt)Yve&z48VOdwA0hCg$)>zK+GR@^6J@jJSe_wf%+dS0w5w2BK6It3L%JX1Yv;F2 zuDq6H7xzh&$g)g(8@ouPTw{3NcKNf!n%#xzPd869JlGumXcJ_VXh^Ft;d6;Xd|E;E zy}z#OKqD;0n8=L8R`5DZf?LdyKsK_nQ5W5=fcJcu~UihNxfYkCtEQz$; zu&zGBX@-aWg`V?vZp58l-bC`rx#_ixM(2sHP$CYaYm#pLarw@Zs$=F=ZWM$b`K8;b zA?oOjj}`m#-HyVW4{j-wtrESI5fsgQZ%xYVQ~yXviGKMYdqXed%ki1ic++qN1FYk#WxXF?IR)?Gy=7#sAq)|R-Cxq+buiDd*nWr& zvxqf=U0=;!Pog96dvMj5jQ*~bO?mCg>!+cpM>ah71y%EFx&)LcnvIqWT!x=yTqkZ~t-qa5siS<*T%?WK0X4V2v%+AP zcmiFDl}LWeZ#$e$a%OYQGuQ^-rv&OG1<4rZ@)8OsO-|CQmK=Q~L*DRET3vGebu*2J zkXG~i;$StUP*lLl-GmsQ8{Bi@VyeC8jQRA&bu%~!B2NlWB08&g=Pc50GNl<%5=WnA zQZIHbB6(8RR9lvH!_~sVZ${b+-V(r77m#5o9p`tpIK^Pv?~2(m^?1t&PgxS3x|-|g zX##?4ou{2`y-=2R!eTDkG+pCE8I8?@ zX`BvyWEQIf4y0b8NzrJR@D~tXUOn*)N$10=<d-e2+LgZYq94D%wU|@Wu(rD8wMqmBiExGsD?wlPOCzxd+P;v39t`D;#H&+OZ7iJJz^W~b0^ zY9Bv7_P)!#-{aDxL}AZ*%fnA*m8Kc9DsoWh#@)@nFj>*{Xi6I|N?3l862+DOroM}em;6M_T_Xsg)%2&g1Ge{ z9z}&3)RNQT*jPZQ`91s1QEU!uoJC@QifNSbkaKKE=^;K0Wo5WI-hHQ%dj#`X_cnfm zJY#_svAQbsvrU94l8M&%;*1;@IjXvMK4-o~x~G@|tvQtCHJKW8!+%o9FDcZ;0UZ{m zC4Uyy8+u+iHlCHjd7MC>L6Q0RzL%w}vR#Q+{Bq*a97@l4H;pYH88a}N)-%-@t=#Eb zDG4W^Py8H9OZq8S$g=psDP*Zu^O+-;D5crFuM6i7Ys&i{e41aZwr=)nc;L zK%x&5%#jd{_~$QXZzMZ0O5<6s5wx#-RN&EH<;%2YoKq#b&8l(TTa&+Rfk=o&I37J- z#=;wI;RV}Tnqd)yq+M2s(np`t)}Fh*GN(Xr1>$m>#-_@RhDVQct44U9<;A#$8NzyM zP2^K%$V}J>?_(?9_COS=@*#0iM~_ke*N(Q75V5xE_R_%Z41Y%awlU7bE-ovRn55~@U9&EltXc5lrbySI6bAs;FW4^ znMXtvw##NWtw#5(lkBvXFxvciFw2v7uRDWyRI$pN!)&T)TFg#9u9B_<$(g!mC(k&Q zY`R;Z4u`()J9Rk=v5kNnr+8U1KAut}H$}k1rYTY{(+m>{G+QW7swevJ?nrfGd>&^s zt7Cou(*CX2a+I1}IgMWTzCk)M+S$_z)?p&}QMQIJRipJ|in~L@Eva2@?GXtAsr0x#b zeMIdAx%HDlJNPD93+8Exa%%9%EXBfIP2Y(u)l>e8+)Xa4Ms4Eklf^g9-}njWu$36F zNF~LFlsxiGhBhtqlD*lcg%5ReIL+J_YouzVl=Y5e4`9(Yeb2O@lU*qL`pLMggp>xI zJerQ%j)*7AjVYiY#Z4QF;frfhW7A|^kjUSLEbVd}Nh_8PdZW5=;$$Feq6XxiWyZ0Q zIEkB#Nd|eus|nV`_q0+E-#mCFXY9%WvXy;vV#g%W%4{g7DxdtarKL|Ihj}c>wh*vx zyxBx*(s+(T0S&Y2c+uDA*R%aeFJUSPGByk9UvDqtr_D}=5j9dqVkaeE5ZgKGQ+Oe_ zZOLBk7CwyP3W454*rB~>yXch{T~);frOOFbo3ivSr7gaC;YiX`cc+DZd2N~Sc=P9i zvpIrAjLLo_i_MQ+J91P6(Lu*k1T9>512$zEAc>A<{pB#F`B(oByX8{47}eL`+1P=RJayxQ>Ra%FUnqUAa-;xR^%F+ z2rClku#<8=({WYU(uI}h-Z7N&ZH-7{1xB*l=Z;IHk&shjud&_TB1t2`1_}8;AVml} z&9RO*^d!6=nIETSEcp)VZ!^akhG>I`g3Sc9-vJLmVEE+#5k$) zS{5qwHb$MAhP6w2dv@HcCNZ1PDLbG46yH{9)T-8d=UW9wOqcyEuBNeObez8(U~;oB zGMZ}eGH=9&`lN%vhI5Ts$>$u-LR}we`)d;$HuP^k9DYe<$wu}p|E2s`9iKn}i2@l7 zeS#u8bNUsd+@o%YCm%dm1&>l}d1jPv^K$LD3fD4@l+(HdC)}YFO(2ssKXXy3*ZMt- z73;ciF1){Zv8yMq*j1}H=Je5Vve9Ltb^-^+cENLMXQWv6=dg$>3AnD?F56yo^Rl6& zkX9-VeS%$O(5|_-)9`%vrtf)^OWhpB54vTq%Peu%m>iqb*U%Q@+&&&qnXFMo;tmtl z{6IJ??z%7^c;|@mjr_iS>jqUe+O0K(5p2vHrH-4BSo*-#x8ek&Hg$P-c9zwSj*kz7 zuSH*Gom1}TwNA+gY*yXIh^mrN}XnQ zIPt!XT=vSdrgL-g4Hj^MY2DIuclGJ+OpET5r|da<_+Fh$`9?lbY(`PS+&+N1>v9!Ukkb}V?ZS6RKXJnZ&W zg(FcXqa6`h!Tfq8uU)vD;yxX}> zmk>&PAdp6b{{yY~=Rj;Dzk0Q5$W4-?BGltAO%7A^Uf6}B;C*&e^Rnk&=V)*&mKuN1 z4{~4$>Uqnk6u~(5^6JZhzWKGO6fU=rsK>g3H0x~v2W(wg6<<w8MrFmTPg;Cp5&=m-uoJ+b%-wHfU&@DDO6*9!)!Pb-H>tbzsI z2ovY0($jH+pSdqQNZWeM&ng;mc)TVn>;YSF>79sUrvvzpTe9*sE+Q=Pi@h=qkvds_ zIMB9ZF)JUK=q6c9epH0b2L3pWb-Z`}&0@q_^Ejo2g zYrZn?&^4u1()9MUta_=}kDc&4Yt`#yGXjDS(tqV?OFX3W$zMI_ZU^26`>as`tFp2CB@?kS#X}pL4o4|pKTbOyiFuvL5GU)It zCIQ*=;^at^DUnD2uu}gID+PHu*_r8SDM^V5@o}*+u`w~xF|o06@rg+(Y3Z5Sxp{>} zC1sF`s;cT5T&b?AtSpC=6c^^_$XJqB%<`)!|lt9WWt7>ZN z>gyXC8|v$7Yip`1%1cX%3Jdb`a&mHW^YRM{i%KCC6;;)>pie_XJ?K?lkLL?_st*J*g815JaV$PGQW3I=Z5ADy}MQ(fw7ro4Q)LG!^4Si_BI5ft-Z5nU~GEn#cMKZdS>>6oSX+)87PU~Esu7> z>Z_~k8ewhiNCdQ|EH6DVE;cSPH7l>Mcuy*M`Nd_`jc_EYvjfpoRg{$!6B!W^laQRA zk)9G4>TPvRl=VYLva6nsZw=n5`>}Q7Tf`LPgfBYcE)>>oUGJXb&aDD>}5-MSta6NBii;#%mGae};zk-=>Tn?nRzNRF_-+-%) zcr0~;?$9A7(si|)-YJz$wRzEAu0Dx%<8O)gkrBL{=%}wKuWEp`!hz0Ox<(gYY^+Rn zHI|pvbxuBexi-^Pl@{(F5E`47m7S3s9}}0FTUu3FoDyuKE+rzNY8jMPf#~jR&i0nu ziPHAQihAa^cEd9*sg>PN?5M_mBu#x7Om#D^acpgS=iT~rN4}>(!Lh*S)HHa#$yP6p zUbl69sC;-W*G|LGJE;OWvhe)X#*?uigEco) zho5e4y?U|wa+j2r?Z5#xR?gFEwgFKwQK2EBfUAqCp@nyJdU}+jEY(m| zSp%xKx2vt8Fw&5%#l^dYQbh5}S#Fktf|s?l&U2Fz9&;#LBB3JN8fioJ4K@c+WcYY` z;)(0ulzh)-&llLdj7RXQ&4*ARa&`fpk%^(Z+>D-D|4d57z`?`Edw}v)cVU$0!<(uX zWu#;-X_$IOW|dWyq=os1W;FB+V!C_Ame&^h>WjpN5QvFRX2^^py z*xDjy6H&Z&MU;8FuLZqEet=)-w20I-+u+2M2pchyg^yg9byZK1Pr<4x;2VdoXrHv{ z4;?2YeqJm=m5BeLIi`BQZg|neb9_oVIy!~}{9;m)q9>0WVx=V~c)zhY-h*gvZtI(V z{(5~9mYZ7KF}*lBF!qX+iu7eaw7#(gJx|EYcUtHuGtp98VYG+gCE??zHG^uFh^eVb z-z|>x4^Av?Y=78#Hr@qqZf+=zeZcn`OCf3M=H}w&tbedMiOf1B_$@4`JVhnz#hVLO zHrMzMU+~I>^=uH+&{C0+(Q=_&g((2aM zv$>a4+yZ=Tv^3QCBaq@g0#+^#s&^BeNF*E*?|kVH-I+iP)$z09!Y6pS53z&g1D}AD zl8Oxf)l4s}sxZm_p^>GVqrRfHdyxGp3aRL_Cy}Ok+GpZso{jbPVcKgURn18B7$qg) z#>x)uQOT=X`uch|jZBOUZ|Z5OD_*>ORppAjQovv$8R<@JcFQQ&rPc z7o#3SOnxFGCH(ke1P;lLa=O6$qP3OArHkV55jIM^m$QRih^Ct6DKc&mu~R%uWFNP- zH;1w6F;qNWuqiykkyv)G6xSo;x+Nhu?0K|a$>yQcdy?Pa_s-KPQWH8E_F%E z%*w*t($U4$?a5@AFq?wXhw>1n83xgafl@#wE#0ilT5mn@Uf($Y|oZclc1v{vN9J|8`=q#z^0caW8Z9;KR#Ty^9*MJ?zp(-@SYJY5$?a?96QJ%(QfDg2#CUY3WNBBt(Rcb5P>HS-`ZnHRlK0SvYw3 zhlYm*2l#jfWVAo~OhQFZPqmMn5Sts*LUvqAUS3M%vPhw3rfoC5Zwdgvx|#Mt1nhpH{b7) zFmTY}Z!Ar%(#z=TY3du_)4n1tbcFK&^L{F78agIcdi=R1vcp1R=Om;rC@QO}T~)lQ zp{0G($e%HoRJih_&?M{O0E6A};n0-_+uro7ao=*Z{*Getp)!RnIS zyiy3Hrnv<*ytwg>fSh_iBRdBx69X+B6EhS0;Uj|QHT5+vsyau+#U>_42m5gmA@4|aE9daJ_SgVPJMBm5#VOX^YRmYUl7f|#gCH|?8uq^MsmFRiXF%q>6PBA}pS zIl#>?Bz#6v>YTW^h`_O<$4?$RdRA3iPxp$Hwtq@aVPRHEQc_ZKT#%=Smyg#&W%4vO`0o9Aq>iYrBWW$1r_EZ7EL5 zr{p{`n>yRzU45P17V->M zCMLF_iNUT>t+Ug8Anb%zmz0*}B}GOhXJuukB_@Jc7sM;kAfyWo4h#&B42x}RX{f6z zDQW0LcfiY2W8+gZ<3h7h16@N;pCa#C+N-1_T+T}*`vhfhFKno;8CV%C%gN8lOp1(7 zN=l52j0g(`B{U=`Bs?N278ij>gQ`GZcL&S+cMP-?HJp7sBQoOy)BBz;jSLR;B5JB( zh=%Igx|&K5D}!)4DNr;IE_VI9jXlACZZ0ZwNji@R?V4p3|%*+nA!BBnZww9LWx>^vxm*OJeoD2Xd zEj2MIAtJF7(fx{mk_vwwRo?)I)|Hpmv`v2|+3IXtdG~I+yKIfBpD62-Ng3bjk}yg( zsiL%@y`{0Lv zu*rVR)a1z2+`{s74|;SIgYE!vCk)zDUtLiSjug4MxgZ42%t%Vit?!=RN4Ad)Z)0X? zVtIbJy}1>$f={_0e;mX_6eQbZER3)G)FsM^Fw+9?d|R9LHG1@b$52OBS5qb zPFrP#IjIRzzzco7-Cdj>MZ-r>b%>$y(c$5V$x$%6zpn?~4d&AZZ)&Kot*WYoK+1~q zQxnQ2@F;0%N!KRlpRK*xdbRZI-DiSNZ$1(2+rOWRifre_I}*YV_>|OmPY0Tz#lfM8 z#V{DWt!rX#W@>V3a$;a;>P4fwI)I442@}{|S$SURJmEeXItD6Y!rdK$oz*vl`1m9rp6z^G`b1Ahw|{qT za&B&RxbNvM{)g4MK4?`@ITAZR{d9S5X>oCWZeebAW*R$%odT9IHZln0gYE(fK)~U+ z<79PNabYfSz4Vl%Hz`%{y~wYH(r(;F%g88XE;N?d$FCKq6b3p$)Y_X+_PS zX{h$^r`=CZPE0^XPDZf4@N8jZaA_MmO+-fgetvF#c514prvK%u^~L$w-sXB}=j@B+ zh3Sc@`NjE#1<(xeOilniKs*Ee{e8XYPM`rW;riOT>Z*#e(vrf$qQc^GNHw&zYpAa% zsjjJE06PnmJoOHAKpCO__(#$QB>Si-&X01ASELDygD_NbY`HfyA?UJ zFpZr6dYqn~nwg#gcmbO6$;t6C+qpngBL5Iyy2u03d-y zpcnXm5BLRE0^Bdm;K1PM=+Mx}`1B~Mqj#*kvZ1TL7c(~0KirS*L3aVMc6ayo4fQru zG@-|upiQ-q{L+ScNO3)~DfRxNqPF4DL13j5lUOWH7ueZ}vC)ySDWJ5GiP2%~aOcPj zXaX|FIT(P2bADh*peqm(u+u>dSYUvxz;|D7PdB<7-P?;97#ixwV1_UV6e>5Z2??uj zLIbBC!1Uly17GXw8|+8cme)0P_I9@vr{>l+Rh5-hR^^4qLx)EPKrUuzM?;H8lbL0iv43m2qI$Ktv;hz}fnNkov$90KkA{0EO!A z?m~5faHR)>!Hm@gB)8P(W|!4AqWb!QfO>F%fE@b<2D{+x9ROo*LrG;5tgf~sB{MU( zu^rXf(~lVh;vE~G1WdsSHagVTh3x1?^|jd4FoVuOjy>I7pnG2* z5}fl9kZMFbv>`7(B`^w#M0TQjfPBF^hocWx;gNyCfu0T|8jY$fMRj%!196SdFMyA@ zo5C$ZI5>N*Hj1;NA)I)?bkV(CU0uMe0T>v_v^6(^b+4|zu@;&a0c@kO8CqReRgLV% z07Ttjzd@sc7~7Cw7lgOM5b&B-3<_EkADaBwy8+pOn;fRUe_&vE2spx?FANQK!8-bT z5gpxi@ZrHekPbl%&MwX1_Kq2VXmV--m=M@Qz+wc}fiX>0+z609B7TvMBu5a$^MZ$lv4(Ew2& zSmZFk3;-}N>EXdnWGAM7XsD}y9I!-I6qeKvO@j?-W)`e*(=*dxQNigJ2naYnaI{|F zIX&H|PGmc>7108R!<(UCtI97+jfFKdbk;*brmL>0zO^0R(g7^K8wC^#5`^GjQ{M=M zwbm6D<>nVB`8-ZXAi=KEfipqywdc6~z+VRkhk-@+_4E$n*bNT#cX!kkHVoiQdJ32j z(AqQ>wnlED8)LfrJ@T2(3 zL$owC)YO!hR#eut6^11w#6 z;J@gOUf_Wf6F@Y;sHedfP#iF8+)4zT8}#kQt&SZ44p2jLZDmyvBrh*Z*BROYZ-T-b z8e2NxwPkr_FtE=c5v?FTtEwn1&CM^$t*8yP4hZpgd+h5QTaHA->!7W0u!y&|A`rkc zkf?4TBw!T4_`sSnI50ZUiUd0E>+Kr^t3D`TO~hFb*gAmI1D^*L2bSt?ARDk9fDHr+ za&MKz`Gpw;c_{_{!t&v*?KKVc4ak=Ayp)V4un)Jwn;SuB2GYnmsTmoG`8m$_J>8!; zd-(^%6{FBaxed@pumd$Ufvv6?3WK*IJ5XQ&L3MR@bz=sQO_h1&?R_0kB!D?EI5Gq> z%p)U%z!!lx4g*~dg3T4T;&gz`5&`U{uCAs6Qka*So|Kppla!)UQ|{c-T-8upQ<9OD zngd6|TYzk8szE%SospiHm>ipw;$`Rl_=(*^uVhF=cSS&I6L7{V5V%!9KyVBqV~`AQ z1}53s3ewK-%*g1N#JsA~+)5~{4TP@1lX~~O7Tw#^heiW;L3IEP>{&4gCK?)R>L8^h znb}G4iJ>vE!SU(-?>vo)%IeGW^HP&jia_Qa4lKPAr10}|z+odQE+#V3_wFMP7mM3I z#q}-7IOqJP(z3FmqJn}#+>s$Kzp$vd3<9aFu5E-hRp*9-jEARBfR9&fabDb6v;o{L4!U3$n6P6XL?aQ7kF&?ju*b$DRq5l?@G%fhCZfg52z!^wgBZ!~~FZNlHmh zO$E8;{L;L{*vQZjXCpIn3lrT3VcGflWfc|G)wN)4sjI0060NMNs03#XaNPmEDk{q$ zS7@QL&{ zwy-r)z7bVc1gXr=!l50(6F%3a8M$mq7zet96dZA+v{i;-PXGv3IZ=_(X#XYU+v? zQE-E6RDyQlg06y>~0Su0ejts*cy@LY$TwGk79Gsq*i}Q%ziO7tLi~-etzTTeT zCduZ(eX~1;hPMpw7#SNIo0yq9cs`U7x^&CR!BXekQ2_zk{Wk*qef<6X{QLs<4)Fm% z);NIzdEzn)US6Kym9LMFuZO$4or9yge6P z_wd1;+xIN2Eg#;yEOd-=hS|j3($?9^($3M%!^8cttLq~NdmGD#mX_AGwhs1IRu(2^ z4=f$*tSn9L80us`HehoCr+Z~>o7;F_t4lbZ|Bj=QU~vxB{ztJ;%JTkw3u6NVeH~q`YicUWN(vWb!ACjDotKkWxN=qPx~`$2?hOqk zrEAL40!%b#ZX4aads9u@;Hs2@F35-)8XDfYb@SFu9bG;B+qZ8T=xJ(eYg`98AXUYS z@=~JWauR2y#4pNpuB7Zvy*YGBUPI@$p`oeCJ(IfzI$D})s%lDCR8I>DojxNae_2^o zMMGEjx{Bf@c^OGbY55CsGLmOSPVpbZmE*_xPY4Q&iJuh{2R~=U#l$4f%ZZ=6bX7rK z=A5jO92Yg4*hP8yOBduXT~fHBc=5soIr)p16y&94&dW$kiJuV>Ja+Wx5gs0%7s(drOS%)($eS7oD~re6cji`Nl8sZ%gBD{$O!>{Uamu&oE)s| z>@4hDyhr)CIart(7?~L88R+R4m{<-RI&_$ao15n_=Miwbck%=`*Kr{s{-gZIXjYz6 zupj2;J|=idNL2LnX(54=xDW9;apL3&{*xz;9X-Oy&I+=swDfe$2bfuoG1yHCJg29p z+{b*3?=bIC?xXzN90yqTgQMv_atcat6q%TqTYs~;`R4WZ?#In%3)rC^%*@8S&vEv5&kwQ(`2gS*=Kn3voAiAQ|==tCn6+# zzxHftdS-TfaA0UOC?F&%GAssUnsbXF6(t$T8Cl732`QQRWhGh3@sZ(i>AA&arR5+> z>Kq)!E-tNXe#9dpCBb2%A}1!q2iHzdv8(IYvFE$^1jPF&sHmwZ$SFY+5nx0_L_$hJ zfd6@Gb#4*_S~48SCrhiWN>{EZT)kOcfjOpng9qGeeBe%CV z!G>Wh6^~_Vi^F0PBNMV>UG5vJoE1NNj7La>kCTI%kgPbtw~1W%`gJ}EQNOazQA|yG zT3PGh^81eqH4*kod`BdVlSe)g;FHoF6p*^8tasnhD?Bx~uoO~~UrU-JL-!~*T&tF$~&D*P^Ffp~JyQ?}S)ZO&XeQWhy{{c28dafgH40MIi{&VGT z6>Y-PTPPH4y<+NS3HBd2c1A(Z%Sj%dMT*C8c8F=3%E}JbY4AQcgxpL{`&KSLN!BTX*gn z8z_p)Xy~hh&#RX{dGr_$JCE%3%iNn8hYZeU4=v7Mmp8XI-|b^&r6M3>KXF=!pZl?Q z2-tL@5|UyAtW^Y9XsAh-%c84@g|8}Kyrin3D8flg{BnL}d#g8)KH-TMiw4^rs?Zep zeq~G3t0E^a`M17&gNn3wekj;-bgc_ES>qBiNkj??$y N6of%MG&!{XO1d^36oIYrK$ zpnKMo73*hwSx!k+j*oVCxF94T*pyV8SbU9jnVxhG>QAsb1Q#;W_}GS`r`adyT|N13 zzoZ|MT-4Af4y2B=(~^@woROAWm=pU%iFNw+CE2S+kGy<5T`Y8EIJS_D)AZ+ULX*LR zBt;cQkkIl;!v*u>1-EEWq=c#~ZYBz@6uNIfM59ZQHGuVs-n8#ca+Qr4|DPG9_8i1t-EZjEX-_&`9;s2 z72;)Q05{DPqy%`M@d?1fxV^DFg=woPNQnycaM3yrLqINQBhE+fg9#Q`3Oxo0y%&j!(?J z*dZh##(%f|bYX68VQJ;X=6gJ1Y56PH^o-1{?7*#Rsw;>EhA%7v-{>2AhxlwerRrb&&bd~M@{}TCpF&2>c$Qc*o%lhtj&!N4`RAn z>q>LL4v<#{Zt4&%(7K9}qSERX%*^vQ+izcQym+y(x%GY*pO}J{iG_up0)Jy>bbN7} zl;O}Zp)=>e!$aCPjqY1HJaTn=42qk}BYR8JTUx4@<>f%o17aR+{o8lV!1ecIcTZ3} z+})gk5+0Zt8|tdbi*VBsZZ0oA-zMBgMNLWad1H0}*@$~yr=qcaaPGysPk6YeoR;Pn zR$jixCnh5!CBonR_?eKLj-BVkX%S&TUUn+HXA{HNmn6)`z*V}Ijy8~svzxo8w~sFf zJ8^NUtE2S;V?%u%ts7c8`aml8fk<$j0Nf`4t&^SA1Jk>=^|h`k$%_kcF_GhKEX~cY zy!uE;MnOeIv5y%4!{+MZ49IkV#1S|l`i_70AYPLF`ToSh#zIXXJn+k-k#2~_Cf`n7;S z8)(zX!PeTs?CvdXbwxR`liaK{#P3(9!Is(62k!9ZmR43*SC;0mVE^g_2luuP^bmIC z4L&I~11oR}ZZ6J)?BI5l9ux)!5LE34_{qrjQPHt-oj4<>bY0)b^ns<7^_OB}V{3~8 zwr55F#TWKY0G!=k`HF83vV*PF1Cu-Ynkovi;zGx{4=~eGk`m$VY`=cBvA(|X^7UKr zR2nhh!^F;cM1%F0MdoD~%kI1V1}IKa-z!otGFe(>;-V*7v9`1@H!}gIee0&4E^xQ& z8rQC=dwyaMT*?J! z!~dir^S|;hBp~~>{EKe?PtCue+57$X@Ra^qzEb;zurx@u{Yil~OaIdOXCeFtVE17C zN?&>p4alA>jnHSH8me?bo-!erWu@;@i$&r1ATjUwQmmEd@;Ft7i5Pwcv91 zaOl_euk_`9Dc|$^tM_u>H~u!cJ?ekf{3}LT8GvXH4@~A8Rs9O)w-?`&`t3dF^UIq* zo&&D-kB5JY@XKo)9suU6z`l<912{iceUD*}g%`hc3U3kOpYJ7vmR_e?;c5 z>%Ic|jrbQ0eHrv??JqRGL;dwFkPm=^o6=stUrGKo=f7zE12%sG=qtY;t!j_NU$FT3 zrau7lrRoc_u!tzzRe+uafn;&NWL;s(j{ZI7#f%@+%_6YnSqHoFmeX{vN z^^fr2AmF}#s{CZPpQ813^50_m*>V51e!qeFud(Qf5G#&@%VW{Uj+f?|BG0@ zjQzb#{{O`D3!d)<^8c!$-^BN4aDHCEe{;`0KtIs@qq-kD{jcJG68N74{wIO|N#K7H z_^(Ug|0~w~>52T~0D&j2{!yjrABG3^&%z@s@sHBhKj!rPi&Xwg=KLQU0l@PgkNq!b z`b(1azd-muB#FcG9}fMwVgDw1S*gDm@JC6~FLgh2HL-{H=aL^^L<0T=*E#^tw<(i9 z$M91vzZ2RQ%6sGfRG8mV1wi2NpJMa>)(Q3{q4dZ6es|~k>n+}QFaCJwe_H$di?DB5 z0Wja+Ktr3p++>2QPAN(7`9t9T^|xE%{}jP@0DD)S+UxDLL?%gka zr~N&t?2-R+nfoJzA8Np#oBXc)(BUgNT&Lf)eIw6i94wr&C2^PB;NvxZoy8X@-}Bge z4^?UDO3 z;z#b^VEjt-*UrB%`DXmT#rMxTe+BVt^N*l@fbb2e???X`m!GcxL-xO`{Ap5ubH{%K zh`)JG|2T602NPr=2Y6o0n}c#C46{XJV`AH$*tRFOjgw4l+Y{UN#5u8ziBD|ni*bVc zKgM0J&|SN$_Nr!P{{MyQ7AdK&tqZECtZJ;;^%tDj%$J?7?{jSFvt8>mTx#jF+?FWm za0#w1Y4cDs4GNFQ)CUjE(v*m^2#a^uP;zl__2EYokoY2tIBJk8((|0j=)EyA5sB#j z&CroE<7_@6V}G4%pJ_eNQ>(M_T&i%tvy+NQ2`Uh94>e$glt{%T6llyWyg0d0oJ@ie zQe#WRbiaUf-$?X+KH&)!=?NG}R3fUppWqTwdZ)U_B8n6ON*4_pB`S5UzwavzXx&d# zY8y8-5vzRYeEKZAl9kof89@5G=bP7#_|)j2Xg>gn_o*5I6G)041(X^6d+Gk+3J~S) z5DgUxhKl`?{UFAKeoRVEp1YI+kG-5LN03j0qM%Wu5>up8QKnR3=0qSNs9@Yua}D!N zvJ-F*-IPp1Vxq&NGR2(q&?KykeK7ej2$sSM6!MTX%*Y5}QmT|H#Fmy8=JFhnwq`ai z%GzkU03#3Vk0+GZ-=?we?A+kj(Np+Cv}bV6D_Ho$AZUD0%b!f9I~P+V%ymeXx0h>B zF!Z&d@ourTQ6NC%k7Ofu7F%dooVtBV-+T58R#+hq78NOhNNg-FVTMk10|Jg8bZB67 z4lg7VhVOKVxQT;+S)NZV3{&x&C=#$A?_3i>-2WTN{eB@A*1fSdjm>74PF2!|6;uHy z2Ze<={&$u&c9K4|y1YHaDdgLD2Sog>gibonPPuizOj33slZ^<1I|VhsYfn;E z7nERw$`>I{0@4-G_$X(MSZTSkzT4X?p{!ZoUo5&H1}1$tPaT?c-R&#dUOfS-V1k#L z=a+XG;PI`2W%`d@9}3NiTc(mNM=3S5(-|cpXG-f*$p-Bz-VQhxIwq&|{C*Na^xLU;hPGMeONUu^Jk48>B_>5%!+5NT8wP)9YhY&PGmeW(=?%VDw9e2Y z%R*E)Z#wI)u8nT;U|4=Z^JRC-lgs8uF`1fUe?N==<>BVEjXl4anNC>Fkd+u4RCf(| zv$em+fzIU|M%S(PZolS$RMvy`VpOIgYJIrHlE|8Pn)Kq#3>_Stc^r85RE429y3a2u zOSw#ifaHIHH^Pf|*seG%mjz!C3~d1G4}cf7!BL(iMskjz2rLA}6-?71OmlT1#! zm!nOqY!#wy>yg|zu3p;$z&lDf4k97MkBB<>V0}qpM7jzigfWLhnJHc zht_s;RQ2ksutH22u-4%faJj!*A~ux|IX{~ATTFqkcfoIcuyz^6L&&7AC4OG4JvS-* zv${74ahT))C=&)I(h;7luj(n=LeZ)c`sXXnvpYIXM}dH2;5T(==~0~jwt6drkaHlX?DN?+K-9J zbrYgpdw=<<;kXeii$8#%Q9O>Ed6z(r)o~US%y~qXej8pXW&IA2-KVOVA8KgcaHf_C z?xLY*r8Va4w#xRcrK}^&jfAy+eCZnHm4V(g_jY365ps}_BRO$G#M@vwCl?c&D)`dW zjGBBzO)5(QDoAXIDLvCK^jDe8c!%|d2k#pEDZE7px%%XB&QD!ewqB^fOJf>8zjZ5* zy>-&o$pO*4retHuOnD5(V`hqmgN@BIJ*FPIH;xzo`bJI4x(Pq&aro2lPR;6B%a7o$ zr1N`gY^jfPi2Qh#aM0c2y782$Pj}sQ0LwjIWYUMLbpWL(53WQs->#2z05?F$zoQuw zMkbD`xP7r)k3D<)#Y*HxxgVlX;X7SgSgLaOYgGwrt~PCH=_hskIwt4<=&; zO_;OOTaD0>S^oenKUTii2PqX4iemxdn&I`e*5;aZ+z{cc1xEgePA7svFa75J1bo;* zEkjH6C){vFjHt$kyij*^c=Y3w!)bt=*sGHTav4hFj0tH`&S~T+X*Y_EQQ!&B#3xMW zCC19ObsZ zuWNC6%w@lCtDAKEGOnvU=RynJ&@x$#U?b6{i+Lt9xK7B%^yEuE%?&NlVl=ipgSYNR zpoYv#gt{vzDEXb8D6<<{PWeEawRL`9Qp<=JQ2MPA3djn@uLukvNXZR548~9C*N5|y zG8EFVG;ji`)ghCK`|>F&L%G| z4#v_gO;1O<0NPJ=WHJ$(ukiNUo&tWQ;eMfRvYAQYQ@+>r=a*CGgbR#}x8CYBQX6{q zd-QfmKC#0!)tpVCfHY*k3bcwn%Tk9<34OGzwHd*hQp z5KY7!IVFfHLONTFCpWpTV5GkGo2%p?WL`=~vB9t7l`+u#)`Q_T*B4vxjyN}k?=$zh z0{5tiKMoqZW=WEuT+&`_Ydy*5Wm`lZI?p|pJhunRkBk}OUeRcCKpI4OF@|+->(*@A zhU<&Rg{in2zlSmIu{PRMm7Z%_%{JcdOQ)H$QtIRa3Yg7d=eN!kFuua))r=QwKew+} z7#qDA)D^!9b$p7}lMhvpHMq7}dTL-15+fSu5tLT~3PY7PjPRv=#v(5HqA1`D-A?eR z%N2%Rv+>OwMb2$LPY@8Xj;B*7@ei49Kr1|NtvNl|g)(ceVUB|yAvUKq=RY@a;yT8$ z?>P$1340WB*Xs@P9*o4cgZ$nDMH!O~D3Ba?^}o{B>rQJSN*^?|>fH7{k;Lkl?K8h# z8=_?b$vMV1kaP%iO4V;wXi$ZE0WEK)q&-#-zqs%kbFL5BnqKk`S%i6oF5r?{1re_# zame2`gDQ(rBQEuW&9TA*@^2HzO)oVZ@^H-erx3qN84Wl>v4JT`$fv~yCS|1hS#ME< zw<-Gga{Uz(Rwv7&)GF8q<+%L!$P|UrBLN?;4;=)L!5<^ub^YZ^c@QY~1Rii>UM(E5u#mUsizjev$@>cP;P=j^4k+*t&1xkl zj~LiPKv3v9&pR=R=)}-zA1epBsIP3Z7H7^WW{3;E`ZQ5x1RY#m{XmA3_a-dOPh(-A zF?@GM+M`FD-D<)`@X$RNCD3ZH@$jBcX~-O}NCLdF}CsfL@salF>CC--@eNnNLJau#|q&&P8TccbOZW1 zPHZ7xZmgL@nbDDq1To(-`OP#^=E5pEXBgiCUa~$k2Ktj7dzdfBT^`;xqV`A8{6ukL4?UU(7 zan!y@>!V0|?M&ynGAbafdKkXU=x8X^3EqVAU(}nVM?-Up@C0s0!pILRplQB|S1nqQ zyuJvTHL)f=>I{&H@`$RkFL#KF6~kD0vor0@qF5?z4aM)Q+Fr45wL`C1cyH+!O5(H4 z#$cT});n^g>V?{M>MwqEXOfvhDNN7rBlkfGZoa2e*eFKp3|umu7@8&DvLc+PqpCpw zpm0+RX%k)t+0eΪxf?s_%d>0n}&&5XWdxU=x+GUc9Rv}by4EJx|0`|}81ZWX}e zt*+*s6YJ;^r3p4d)apuEMQk=EFq$Q!R{dAH)#u^Rv1J^b>k$hiGn)y%kcF5f&>=$bXv4Oz8%==HKVcMhW`4#C1;!7a6YE9 z+ueZnw3xlqENRWgl@SJ6uQJsrOcnbuiU4GENa?`ZD;Jh^;+Q_wdiplxu}BZ+8b(wu z-FLGGnW4pi>c$}`GVg{O-8p}!TV%O-)Hf!R~80yuGY1}Z1)#m<`quKH&Bvdj}qc~mlyZ$cXfk5-M+1jkpdU@$!y`u9^ z`t(ps=sK4|x68)?|8RzUc}p8?f54e=ww4>yvsnHS%53gbpiSl6eo0KPwXm&av0<$; zUan`q{|0&l)v&qscaol_V-`|6s3G1dhiMcX<&orjS;E5^`^W;LQ8LR`-h#ki$z z3P2;7)utJ7H~_Y8C1^)8S0+Socox~x4`c^-Mgbcv_Yym9^-)N8PogF6u7<}IryS5{+bK^|9zp&l6;?}%7?%z}YjD_n zLVpweU=hhPccdYw*NCjHv+fBa4@K#p=yywdS)FHA=?0U*YS9FqNB-XKx>Knw@HGgz zgre#_qPR)ftsG@Iw%;e{c+b1B^S-P+dVzqi8cvuXfMa5^5#@m;Kusmpp2J&WdWj?I zb)2E9w7imn3??&Uc&7l-Zist@qD;bU=gEiH3iqyRe6xR)HIJv`!q7aLDW{AmxGIt{x)k1_^LMbM+vxt z4+f5Ewckat+}r~-#f#{m0g`@c&@&Dv+dMWWuTbM!^cNvKMw8F@$DqDqx_z$+VIQ{m z5awLboHCFyjnCjIr~nNezAvZ){ayK`sWM!wB5@KjCX z#LS*J%Hk;_tZAJyup|onu4K$kc)wDfudxC;oCy`0K11ndpHdA`SRij#g;Xk^J74A6 z*$rVs>Upv}@hmrlQ&l#`-Rw)F@QZkGtqo6xDgTvH}T zCN(BH7iA`XC>tU{G)fglp+&UT(Q zWz~)}SiZPhBDZDk7S?Z*%b7(i*MBgO(E9eiL>w=5w^nDX6nW!OC^56bDnV3%;l?3| zxLLVGIOm4rhpihYU@OCe(z|e6O@RiB=`mjPZq6-(miKSCdps5W!nr-UYV1T7;ZUYy zi$Xq;$lyW?ZCRhr%H0z6SAyg&F#Gsw!_))4=YEzfZ?A{Z=Uo3Xcwnr8i(Pb+fjV{4 zxmE$}-KF!)5M}f3hz43`#5FKIq~kk1c0MFQC;(;@V$dLY+N1NNZs=_13VlJH8y`wL z%!lX?Ro@!9`(eZrvxo@5h;E~QlJB`R$F% zkv7du;$E)>NXG-@(A1jd6a;2Y$y1)mki3`Fs4z9My6B5CuemcctdjEZkR;Ki?w-B6 zt5Wx{>aBeAnJ!}m92}7X)*37|Od!3vYlpG|Vm9H>cZ;|U=KTB@p@G(dR> zfQhoi196P{HrIPz2nj%CPs2*T+z^YDQU4&SH*Y_Ny>uI?tm=U0syr-G)53hlbCq4y zG+$+kF!%estGmT*a`wb7uHmXnhO8C|N3jPD5omLM=J25a<1xha?a1s|$F}ICfQQ?s ziQ5_t>={|L>s~2%((w%J#+h|#V+hk7p)mLC;#Q^#UW%2qX*o~~z9T?i;`mA!6x@D+ zDe#Jx_sxQ6H7yLL7!JvARW6*WDV{Nn6dUjgHZY~<$^0Ci+UaeGk~H1y7 z9v+;_6_-V=RtY7yth@NnFPA6O=%r{%DQKZ&PVkBOzw?RMeuIOAU{GWJeqk zMiLL9c+&vH>9WCq;qO@D5+D_b`V#3fL;&?}d7s_%S~mrC@Ai|l-}?K4fy&V7rbv=S zwV4}tk1jlqFx^5u3Pk6KL65ayM9koC;p4nS5R`__e$b9v#}^k3Kdn^3D>uVpEY%Tb zFOx$C-M=~~LnPere&~*0{-s7+jfHh& z%fHc=gLOcS-M;$eKQL!2K>R>peQb(QQjaX#l}l0sGmI9Fp@R`)F>}gj(A{%qWsKw6Z!*C~ua?pFG z%O=w(GN*m()C~{YC?#lT%|(yCYZZ=qF_DuGVj6n#`FZUab7KQfO|SWg53N?gtGx9U zb*w7MJ;y|qSl@y!KTxW-nJ}d^wh(QUQq6bfRWf7UrO#8L`H4I=?8EKjuFOpcj|F|I zl*g!fcA~q7a;ATmAOR5Ni#*FqBP60U*mX=XPM zt4q_Kz1*NhTTON-xzbXHI|YafXvH^FDTnaXTj4BBI@3o~BN+?dRy!z_2)QwSM#rU} zZ_iz1O{sh3qPb_yt(4R5!An>JIYZKkShf0kq}LQ z(^731xc>6!SOnriL&-2T40823c{f4=t)E90=M70~Zw*O2{HXYc(x(o>!CK)AAH|(1 zBl92T$1p_BCna|;KD<_MtFCej;>j8~R_99)k=r*zpXa-uFfc?cf$M(>Y8|m~Lu;@h>@#-NZvMG-?`jTljO%=8(@s zD8a6ESgs-|DM7YOMspm76-)B-H_cTRx|Vsk`93n?M;8u!t#Y6SMtPLO)I=>|^?~y3 zjB76uCnhiA(bd#Cgq;1EUc48JvV)v>vA{zFX_y&!j$HkH21;@or)GR!?`>nzf{mX& zh!D#gvSfTtW{>z|`N5r`y%uu7^;_JJ_`&N&D9)(sd7&tXr}4>bEnY1g{<8xzlAI3B_$n7l# zWH8kwQnXI0Dn%P}gd96EzqL;5PinlosQJu-eYaSclr;~TJez;5ifx}@h9OCeaBF2E zj$nAGgW^4*?WfN{W>pE~zrn?lkUwGHIIb@2#5SbcQsjB&>$iV|^S`@>jnKzjo%3!< z=r&HRXi0ph74oI>!cG%aCR%^IDn{fn2+ot;MioGbx#7=?WoAX0zv`y3?mynk^)k&- zn8Gi8X1l^jPK>{92(w*$MKcIz2eRJF52KssN=AKPXfPztqnc6RVs+KIsZTU=Wj;h2 zqHr#oLzqM8U@HvxWqn<*k(4db(Xp6xJ%GyMgQ8esuUs-+Zun?%0x8!?aQtz)*DGq^ zyz?osV_{rMfV-nGjDwe6`&@K(1M@TO#$@hrU}Wo*C2K>Xa@g>dLtkgI2~n}6&mr$* zP6N%2OH!5hJ$E{9)x2)`h}QD#1`L9*t-2YzZ}y$tNQF-I{G`-;0_e`-{ zQTcuzP70mD%&EA1jmOfxRKR;ZZ+D`M5rmH+R`r2ZhL^FE>_#k#p1q88(Q*N=(x9!s zXJSN3Q^i*y*Qd(^QJ#<<+`DkbYyw{OM%N6sEOu*^=^$kzCY3M?Ap_L62&Q>kDq-Sa zqN_fkTLLb4&I;MxsKc7FO0BDr3dQGy;#sC0p_z~}g`|G5xG4MOOC*jJ6h!r9I9xp~ zw`eVs3*CeH4xu5@?CG{*QcE7KQ!TH=LB}<{_ig7VvUN)(Q411^G@6BcoIFr&2<}H$ z4=7UC2OlG1mU!Y9WYic>^~5R`7Z9f71^#?fc4=6X1C#3HIJX8WRl4KEM@@td+Z zNjV^1+eObmkrje7{_}QP`(f?HOq%&wp%-gG@Yb=nz!;q#!8w;D2g_QTJKVg5w@4~- zjl#J5PLQQtek`4pv=<~=W9?GlQnDp>JrAU(OlsulKzujchTeVPH9yUgF~PN0*(zqXLt0RoDVpKI{1FoyTzz z^a(iHlKjd=eIYQ2N>Hl$DBxoNdZ!0h=enh5cA)VYOLE&i`KJmcd+i2;#he<=E{HZk z|KnRFpyb2MCDNpJ##i<5z{5a5uFf4zW>Lo`Y>mypq|gkK(LS89C}*k)Y``t7&f)qO zl!D*h{IZ)n;$p_Vj|xYg*KR6v%Mtv9cZ=~`;l3s%^kqYK4Hixvq~d7)vQNLI-<~Ax z2c-t?2C?S54fO_g0wZ^T%4dmHxJnSVW}? zE}&17=rXTW?3YO=d46JkM@K=9*H?=%%X!$6F_g9>d@u9%b`6bmfw8%E%sUAf4U}>o z80(}m{u_OKa2opPX=@t^3odg)jpCc_21ESH z-jFa4z|Ov1I@F@_tjv5vRE3eXtmr57hz9R7+xVfcMtH1IQ0859J`gi=H$}`-sv=TS zGOSK`;5RFYF@-+Z+RYUXdBO>&yp+#`@23)C7dk(WwIhlx-)bzbp$byalPLmKU@sn z4=8&MKuLi`{fsUuLKdxc&3D{ZJ*_&a(97iYzuN~HiO{Iu0hrIG8-$t>YmZ~`7$)`E zh@XXcWX|c)^%vJ;@(*r6%qTKCYm2%a0UixF7Ml}hEsUz!AjNv?p z7H#ZK;t7s*yBDvuk0U#$SS0At^(&F9l}#*DiLJA0nOOzcC^pd=2xT{Lm(D2bCaLNaG;-B+YLu~lux>BW80mvV|x`)QyX_(7D-i^4DK4_AiD{C5uSNw5L}aNDQ5v+=z_Ar_&$=yrAYs z?Bv4wz?vt#fe2=Y8N*lm@*%9bM~k>TbdC*xG-#N{yS zT(39I9;fq?c-|s1YiVy|0#HMGD+(G!kNuw6uX~E!U7|dThGh`c2K#&Qxfp^{Gt?GTl-=-i9Dc){wjzXdnG5YzB^036ih@LTnI4DREQxN-|a zGYe!emi7%fh}Pg?I4e?VpCU-`>;y6@01I8`=Syhc{GBAHqR(`O531_;xapoxhAQJx zMqotZ^6kJMzPcz2}jw&^5{yty6*<0X}CEwR=@#fz~1*pBT+PW+JkUUdLvnuMZZ_eg#G-0(FwJp!%F!v{Zu|=b5(^dE%?`fsA2|dJl@#6k;8rL$mnbcUFzrP;hvbGpHuMuxng`Tg z0S=a24`wi=7{op)ZDyX3=RBANPdP~bO_5r*bNxQ&)>`flwDpn`_F$dGTRxMkq&nw5 zJ90$%t?$*83;w+hXZ32o%yf1_r2HVq?TaI4D#>;%Cd*Qi27+22yQn0pU(plC$a zaVwfkl5DxqTBjMA*}Yrm>aQ2 znWv|wu~dNpU8Ees-G~RjRHkq8#+!OsIiPf?A_9v`Q;c?VP0E&q$>9`&wV&iI=zS1# zD)yW2PPirW#v@8As(a{QjV0Y)1W@A|z<69tm{HI-q~f?(G%$j>1`y>iXKh~TvFW1+ z4JJ;}>;`#5yflDmeJ(NS2$5vvd|>+)Wqu?Jn~Ot|K6aftv6UjfuhDt0`ZUpp_}&;V z$jt$9XwEz&H-^o@?SDqF#Yc$MfY9;Yd}HLLR#(-%J8SeA;)DC5%k)Hewoi;g9~XCU z_mT#_ij%37@RI8aRE zqgGeBEOPKTtS$U42Mk}*XZB#7Qo00~rfn?CJ^&VWV4J4eT0dePsBm5ph$|RE71SBeuoNF*S0b(aMFe;;!-fJzKlLH>w0#J6gJS^% z#OB@+%*4hS-hS3?(IJ?Dlt7eb^ZYb{aZb z<$+=Km018xh1;Wgo`Q)z!j5FLErnF7Y&h znQf^(+Npoj0V)hGbI-fPIjl~zdN9ARVxRw|KIsOSp#BToO*hrvJtfYaQ$DAD5ogFF z6zFT|tG&JR`mZQy@6W!!RJ!x`L5Gm*hYYqm^b znYB-e#S`@O4^n6n)QMQXV`L=#J+ceT+)wr|f`#dJHHi-#&b|(_>w+Q~)HvX2IYs_- z$I5SdtnnOi*f;-&3+_J|rH-xzI%$|c(@I(;6cWr2RzvpBl@U(Wquw>F5ysjR1?&)c zXKn4o8uQ&TAZJ1!r8;3m>dfr1A7qvTJZV8{78-zIv`YO0TEd3~M$4Tp%zTHvVLHbFUnxX3kZiTez;y*FDj~xOe4N=8= zDRe6ghX2EY_a&UDlv6l8S{lmf{7l!HC^LApHJSUxp`4w=qgOXM?ODd-Gql2FtPGX$ zqeALme^l*Ksy0+`Pl7+yK<1<5LmxK5)t%h4^t$sWtHU=FMYhftdq#;xKA~9!b;NbP zPV{9tR6dZsV_7A`5X^y8U%U#|Lw z#dhTY!`4q{P&{) z?jLLEZV^!BdUZ*nRufyMm=_Wy%jEibzeU{spm%Orai&AU4O&gUa54OwCOcKjB?9-3+GIJ-pWiFC8bl?L2u}lf@TJp(TnJ~A zS+ycKBX^Ghk@G69({rOe7OOM*==|CgiSR9uyz&WW%1S}@Qi{lvdllX!Sx$jor2Bv_j{}(GcZxs-q1c3mvJ(CZoKHq}HRE7! zF=)$d2l50<_W_Kd{y0YSqnk%`{5M%{!Race37(dK;t-VCznhI~e{1P|{#8v_TDc}I zRd7&lwH;MWQur2E@_m&9*XsP&=VmnFcP*~@4z`Q4TqBN^8w>nhI;d`(C;;bHyqgR3 zfaTfni8mElpi0^Z-E!*Ao{`~TDx2(}PgGc0@N35&Q<@RH$;cN|*%|91RHUtPuu~~G z>%O9yhN%Xb`h1M8D_Yv~)5a2zK$n^^SfKEWQn~))Edsa-9hv@TJJB__SlG;K62#!44|hI2a4{Oh<6sg$%vSxo zV}HW}qa2}o+p*YkT&#AgzslG3Xw(qnraW5W`1%qau(Cgw_INLE_tNW7wywrPs~0T6 zwN!`y^?CFRv~Pzb3H!lOyK!?W|DPiUP;P05TT=<@Xe4QJiu+ei+(30cd-rlH1#Fw# z+!v9%S3xNf^)^~JUQFN$Ex@08JSl=~>8WS=xxLLyo0 zhx>(oa+An~Z({q?o=~kBhQ|I12|5?J=9aPW8-NZv*7g`&V*@Tos9sn9?LNBCA_bkftL_RkR;%u+ zV8^l=#?poI$M~p~vELG*G<-QstF3F${{4*7-;txJ^$G>0vkn6PVj0&YWH+nBN%4R7 zs`6(Z|24qVGNvn2A(v>n9I;mI5|(7}PLF#2&8t^s6BTcO%i|P&pGn0ywcI{~99KtY32M=R--=xOoK=Daz{77- z8RoFcq!WwEW3PKjPL_rNj*@Pc0+kQH9c>+&zgyFJ&q^$ftQQl*_s|!|swr@0#iooB z?f#Cl}zHx~h*e|1yVQe9{o4$MNYiV;HF{kN{- z#FI1k1C!_P8U;>B)_NHw$n9Exo#6h7{;&$4C zpH91cfLk0%kfx6P#jnlQJ5GDJMC; z!`s}d)U&r8xjqf!U6;tzi-0LG*V6QJ;{`8Gm?!Sq(Qp+`(1+$k1h{PmgXGGW`26a% zd#KF|i>#B8GN0GUlzwdXh^Fr~qt3ZilmCL1)6sTKXP$VA`llGE;FvZyK|cF(q+ zQ|9R(>4#1p2_CuZE#MqS`D~KbB#SY3@3Yim$$k#vf$6Oit#N03Z7&un{~V$cbN*zX zqFyIpP*O%TXy|X55|4}3?@7D0Koz3)=i1Et_1&yqQ#{v45VB7>i7)GFx=E)>{S#rz z&)a!j6GMRu$^WMK@;hq*R`Od3A+`K3KAnrV6lfeJb7N7M?IQ1Yzzta*;_gOMwSGvE z3Hf{XSTxE-&{F?c@q6->WYyS)vg$u{0e@n35n24v<4tU-_4S+1HE)rmR1Z_W!uJNi ziEi2ezV+_trsdJi(0am8I1C4*0rIrYf7FW_GL<7P3*$}rI*T!LqJ0udVso@u^zYIT z7djqRxBaktS#nj4#PI}1MK4+AF#GgS^Y&2*Ho}4Nf$8idnpJ5G{jMbqlAoKMrg5Tu zfUP4v$08`5BE0}CGXXSTBe`o-HTcYb;}c`>@3G1OtK=^7Ta?USUnEq$M5-}nY(kZ@ z85vp;hNjG@8k;X$X@#%?XI*n z#F$FPunrDWihm6^FprM2?2c$a3nefIdPknTiA`5aV_f`idvfB$B-e&}w!zU<) zo}NOu%hsrV3w%ju{fze&MGzIoi+U^YN|oVEvlRII|TG z%=hBAuh&9k8^*79p#lw5_)HdI(=L;;(wD~|52WnO(EoPV7;CUJFUOFZ?==kFtB`kR zS=@J)ywlOm-lOPfk8cgp0;M@w39rg z?@M_qu|hBe{O9)j`I)VY&W09yqzwz1X{I2UYwlM;UX8OD1Q6ZutRlaAuW64D)y7ng zb_Py&NLx*t0Cp=&8b%e-p1SwxUr02+404iJIrD{zWHD+;zEfsfQbNi%R~6+Rjliw< zt?CprpeI2AUp8AeKB)t%x!s?{jjnAU=MUxp0Q)r`_g9{8XT;5bMS-X!T@Sofh3A$g z6m^TjG9^ol|S@IrwCW)&|7i51Cb?>`aX(RIqa*s`r1@==dtQ)#Zn6uN>Dt*Zi+*vy4*@;Wq zBwL(&Seo(VE+tP@XaXK;eKnoQV|>zUu*02FA&&8q%4|#_!Zw)lBA9^2Q30|uNZV&S z7ArKBFbL9VT!#bW?;wVCeJL*1nSi~CFMCz>&o~-X&v0+y3So~yMCSd-OQW9f<;}u=I z+v-PBJ+$v2WF6Fq58$OM)&uv1P!I^`Rho(yndy}p+Y2r<2EJvP6I33o_>jaD} z(_b#mQuMg#th96ByY~jo+VgF#a=VZ;mqUIH-IJuBPZ>w2^1vi1IT`ov;uZh(XvyNqcslphpPdv4AjSNqh&Begx*v9w&(mv*X)9z2k9wn+F!*n) zVZW|%NOg_0=(`)#!f=uEqDJpxZ`y_MO5k^5gyG5E7#LFd9pHW!PvcJy)wl5TFRkwU zwY^X#Z@BhhuU`xK7y~P-f7lS za0T~IsI+vR6lef{V3RrDkrf}bg4St%Z`(}8@6klJ>>#++_(5_6&@%EwiqH*1TDNt! z#y*6!p^UxmpXprfUbMK-`i$gkV*~;v$-)H7^t)D7fMHQtRJp{&;D{=IZ!wN_gjZFe z6zTfiS5iA0aTYa;4%eire?jdp-1jn<U20bll-FGRj z_tNM`F#=OxtN-bE%Kz^(X|c_(zv;h>MgvX8kMINpz%w^lu2cUXbzt!Mf)`il^k8~O zq1-P|xes{QeaP#`N;$O3l(mfR zJ)Zqb^7mA8Xp18ImepLx=bJo`q=a7cJZJ4;?UsMcT2YKs^QScr-8o)UWCUyNT<)FK z>~;@b#n_uqeUd*I|9GGL?e#O>7XjAblC$i)GVP}c&eVXk82j_U-O&x5t~AFdkn{P! z)2cQwU5)K4u)v(OzE`7pK$nRkX%cZ)@)&s8sX-y)q+XcLx0B(wH`J2lF6K9*|~UZ@*jy& zW2k+tA)jPel;P9$fJDj9gcvz(lnaNjJs_%E^@I#d!ug^{-~IQC{#`G@se^MqUNqE} zVnuuX#|B%Sa0;l%Vj&7q{+(Hx(Zcgr!-yR5SOWZcnyZ*Ec2ywFqfK2*v;#ciF98DQ zjaiJHAhGg^?xq@#yOl%!_-+(sgvd=vF)CiSbJCLx0y_a*ot0uh6?%7cT+O~Bt58Yi zfTB^X>|0-rZ5;c4V&~{@EwT135%etkZzVm)O!ju(?-_pIfW_?BpJBvg!8F*Sm2bZI z`=X5}V7rX(mfkmyT1A?Fq(8u+frw@WM_wggHTh6SGHS+M9fC7I!%IIg4}knA!Wmb` zGBvrWDJi0E){5V-ue54keeqPXuGSl4B3jTC1it&KuiuwjYFqou#ygj{#-oWC4qb)l8#5ge!k& z2MK){#$ixmPv)Jo18~{})1kRE8@Y6!pd4j1hou0$xRBD&tHSb{5!neYk5rPky+$X} zGNSoiXnXPVCJL3fip(sfQL%!VExXl7SF{9aOkI&bEhi-(;dCh-1?%4>O^u1sqO=G( z@2ueUk$Wy-YsG+(BF8G?Ns=D|<=GTeoGb}#1eK}Ea;JP#86>eG67}b+)MNE};a;R> z-Rp)e4uz`x8`=}$lA&guj--WHqqkM8dk_hy%LO!4BuV;Up07N}aIdldY$pmtTo5`G zWb+pePvuemq$&k-I+DI%nLgnJLQ>iluYkL#2`Q3 zKc8{qn-|ti3*R8)5Z3>sV)BzUY1KMdAZrvN^l|J}5J5VVng)znwEd|b{g$)W%li}U zOV~?iW34aX;!kb=jv{E^elp}76hV_Wb;&C4nM0W|wB9Va+GP3*oUl{@YZLc0a8h@& zAwRV*2k-9rvyj5c*C7vZIt43-Tyz>AHLQkIpMR6~qr4;IFPjK<=c?v+lt?~uq}^W!+XR{tLjvd8~x?<>Hf+_wJd?vN0W77;;E5TpbI1wm0! zBt%ISX$4f2E|Ko;?rvrV7>1!4hVE_<6hRR1zei7aJaO+i-#y=Vp67oT1H7}}9lyQy z+H0?P2Od1Oro3RGm`G&t+H=iHPk8rAYVoD@WBs)rYH5^Rs{t+EqPr$rrZ%ZL($+9y z?W4{u-Gke7qmL$^k!3yQLq+xJ6fCB-t#e% zktuh-gjg_Vp!PSuwL`-(X!SV{>n0 zxI86!dvU??vSR&b#Wfq-WFzv%7K`|! zc=ym8<>7C6AB3IFzwfE$!}oG(ri1T(cE6>hOI5ROMdOcJ8C}P$T<7UKgx7R@>aYuXhsP_BBXaRHGT3VTRoO(mL z<>1lrTnpD6ML|Y9any3fKz*yUYEp}NcHgrn+WI)r^egd?nsU!Ci|R=*9f*kYs;zyD zx~q2UhQz4G<~1U<0y)Gm$1Shm2~!Sx&ch|%Pe-zqH#k>2cX=O?&KN(KQ(tJNrl@|Z zc(KC$?vs^h1WP`@nQLv7`Kur{og7G2jH1a~>)*d_U)iBFWm~6?NG4CgjkQXY`{G zB+bZ$t5`%Tp>UWVj^#$*#dD@;*^RG@w;2G!>|3 zm90IoF4|D|$K`Szy-Bxv3CjdFukIF;@?=-RQ%1PCY52JMQ>Rcvs1MPZQOikTVf~b2 zeCY={g)l!ed``5!#j$LPb=D3(yjugDf$*MWlg9iCpPlAn8zx2W_n{X*$wUyA@OE*W zZ}i}w8Ne$4==t)f<&mhF(*!Cnl6C0MZyo178X^^yQA8xD+}FofbwcSNu*AWwVr;#?!H~e6X~LjC41IhRMxi@n-a}hN$8Y?M)*WSa4X<6md5`QGWeVR_ zZ&&*0?$in{7^Cq)Xj}Sw)0b~IA272&9SFJYyMcpqYz0BgIVwDa68cEFKgiWNMC`Fp z3Z4O@jFG)=5=pCBJ%e*D?SQ6jANHt(A+u`vuwrCFs;*hxy?HE;wSdZf4+Y9n8l_ETZ>c<*i-FR?zoonHdRP`}8+xN=z+&A1Q zTpE|j<}OfeE|jqK)yB&EzR~7~TbB7Rq3c@jwc3n}SjaK6293yz1ts1OU);j++ld$o zWi#SIvS7jQoQC+tIv3J-cOG~hOBOhZNBDpj>$3Z)No)47KnjV(o3LZIuQL!o&K--Z zuD;-F0I)z$zw0A;s)8h^;p#zZh}9<(*`;@!m#BD@6SQuhu-cg8v06;U9(~%Wl_Mo1 z6O=u7O8ROGR1$fnE${_5v;Jc<>#0Oslm$t-;1z|3+^SJMP&fCziydP1-8MPZY)<)0 zGsfC)ur7tdJE8ZSe5*aNQ56JnT{nuc`p??W$FEbcU(c3_*)v`s?-`E0osvRH^j0gQ z)QM8>PMrMlfsL`{%^U%ScSFnX8TrnL>Fs|^@QPt}2$3J4FrbOoC-=@fpQvaT7TQZD zB1i&xt$*i|i47H1rX8iHROHYDV_g3x^MiSZy9UfRq;}^9Gg!)F-Kr*Lc8cHXwD5_b zeP4*FVY}0_3K&q?5stF+>O0TGUY~+m+?_4L$qHz+R9D`n+7={wW7Z^f$1!1URjR(* zh;9W=Ab|x|e=3(%*U_m6&91y4|0?$^ zXa1?aqv#6iip96OavzL_AZ1D>(fqA~5&M?}GQyoh2s;sG{ANcW77jS6rq)4n;ZcRD zd?8|UtQ)MVSr6)=ow_s95iV1ysYfR>Z4$Y$1D%*N0{L;SJcBzGF!MZ=Bpu`CAX>Ky zxM{7kpeW8AKgb5PxWd$C=HYA=Gv!SyKItwWHnkCR~}v?%+4haNmu6S)aF{#7!Mx< z^)ADM%^Nfw#34qlt72rsnul;|R@WeF!3>Avc_rocvYqMgRCwvgLO$$&AQU2HxNz+f zo9BHUBjenV>6bLRuz^5N7|Vx|dP;S>3~_N0)`xb+1n9#uAy!I~2lxq-;{G}i1JScj zaBFO1y!tp%)9H^EDaTb#SM>_UZrh}mKA}cRbl89(ttR7p^T!mHMt=F$H`jzO;}rUD zuMa5F7M=-TrLuQ*THVSyr?aHV+5QMg0agS174)CY0kT;nGH=UtnxKAdpz9nQtX(I zvR6Xtn2xG=MmsgSc0DI~UGT*1TBUG_LV z6M1UME-8>*F*+~lixao30k?RekTF@Xmg*HRSi-k_|4yP|IE=T#WL|YM@-E(3z^J%9 zj<~!7k0G{ZLbaR-3)2$2c87$a$kdosQNHb<7T;VnMPqPfFsI=quHKSh%W1r6eO!q< zx0`&bW3kivO6UpDj7cyl8e#{{)%*S!-P0 z0Yp`^jC#27Kt8>(8fZj_{5E~i>LS+v)bDPVm0qy+&0Ha1dfcP#l+BlU`ewkS+pYXFw{ylfFCd1D zc}`Cs4>`KjC7V={i?9pCPoHmf9%KltauAF>WD#Clbdn_Baib(O3I;%0PDyH z{POGiF$crgXW`xw!NQRczO+OkizHENm|r|o^K3ejK3cw0FO8!gVb!|UO?^>CJc;{L z@`FPbUD5(tvdf4AgQZ3&;tJ`M7{vu2TW6n>DEM*21Q|)w%yG+`Po%<##BtQp?vjo_ zj}v0%7qMn9KYY`k$g4)?#gtwdre$8~xMywj5ZB&Ix%_?SvhB3Nvt~Bt0Eu$!p@!X| zor>`Um5B8O?$Y&p=(Tsw@ID1DPtSB-x4@{eI7zz6OpU7(#m6+bw`(ZlI8@a-dmcM= zAkKB{qF9Yc9x&s7&@w*9Fl{zZx8cOhN{-ieNt#vKO@pIIQkggr9T5&0a2a@M@j6{r z;uKo>olPr8l!u{3pi}KFg{U~Q?tJ4T`w(Gj@ct@pKY(XWCzx`&QqCmcOtT)eddJyD489M_!KNyc{uFU zKA)5}Hbty8ZlBL7+=Ot8>!*F5wQXA{-gvlS(Dzp6MT$wl_3&9Y1Qm6M{XJM5a!m+J zcAdVFV#nU!RRgX5smJXpPWa9nrG}zPgqcHlaaI>4vrl<`^)}N`a=TOOiVPo5Zojedu5_e+p0sGF z;bAUVQ*Czt$g@{`4lnth>Gn@EFIaHgdfH$ht9|c?q|Z2;IBO?|5NXmvo9aEnNc}*$ z6hwu2M{*0_IEkW2XwZqwStofEhQfkFo|R^XAQobQ(v9CdEyD% zG0jW@4z9zTqZ(R*!PtOE;du1jzFb=gy^!c* zneEBFWCp9pfyX7~1Uzw-d0yTq?4J|bcx{)(`Fdw3kw{`6dzsp*8@fa|bXkpIez&6p zpLjlo@#xdGwfL?SfwsQ<65i9Oe!_{R!rUM-T(^`h#O0vsaSFrv6hAGTIu|9}{EM|D zLdVy=Hzl<6)P>n5i}L#g(S;Lo^OYra4SA2IcM?0b)sj`zo2wm;gu2zr`Xv)v+Jr*KLLM9U> zyg5y%-eki3VP<)sNm|b?INbY@$ea__V>r2lRbgnt22i1lK1_t_j(WtJDHYB349#T_PUN$m5IWs%IxU{&q zxU{e^zc4?)04^677v^WDCdWnw2l{$@d;124K)vai+1Z(?iO~UcXG=p(X9o&C>;`#bMe<^agy;Sn(R(c%7{&K3l`3E9>?I6k+!@nL88*eYb~&hmVK#aeZ!TYViXu8U0aK zRwfz}ob8p_>6yj#_q+T1yIU)hy)Ce+iYf@at-BX9!M>5%ci2P}G&Gcid(&+dS?PJu zp^v0TSXpSXQQ?9%RILPrQ?X~;2qS1;*6g!NT-DLjR60pmbvEKA4Cg2xKPMgDLP{}e zoAd}1JvrXa>f++c+l{wt%Zp3v+t>soWF+|8Gd=A+ON4BqD%$!6IyWxKhzXtKWoM=# zC&I_aCnO>w#KYR(+s7uPpl3SDL{CXVNJv6?gpK!<@YyqhJdDI2#!=`QEE;YRiE}59 zY*o3PB_+u4bMMoKrO^&(VN#ImBMl|l^P+;>3?%!D zLtV(`w!tMV5}G3nN9d@j$cgdx-!83wBBEtsXJe+PXE||R6*Cug*%RbLp`tTyuN2^L zi*UbH!P`)BkI62`O?;z8W>i~B#L7mEvxCQ0+&;CoxjH?B?&(Ot`0U2b+1aF;^J4diz-8QG~|XjJv4e~q9H=qTF^>x`uaUhNs>U)Rz<)3 zx{4UBZZ;H;jFb?cu-dbTjRSl#DjFI(CJz47LMPa0iSe+p4nJ-z&d#lV#HT#UcScf5 z>=ZXU7yntw3yP|@?-?84*S@1;Z29cDwSl_yDNbe@qWy*5ri%0++v|#2UO7Em1Qb*h zB=|t|rqRvyEtA-^?A$CQD~O`Py7r!y()d8X0AEM#i^}&O%4GOGEJ3xUUv~`=d1Pa( z|17kma~h1v%g@hu^2~*+nmRf<+B&*-@9Jo2T)iwWEh%;3lDd|j&Q-}1?3{v<@)s4= z?pi#5@x;`~(Ad=ag{zm(YftAVh8jwe!pD!2u0RuGt2Y_XTvSz4Rk^HmQ9=HKl$a17 zHxHk{DLytToXzF6cdPy7@d-6!i=FXLY{GLxh~F5$(LyG^yBS*1+Sb&BUfjdNrsg3)bnnkDkP%1B}iJ{hnNI`M~HPuKu$qQLPkc6M{q*uBs3W;#)0RHZW`D+ySg|%w=}tT zTall*FWuWEc8p2(hPvEoZe|(^atd-%Dh{bzhKAbe3g?7`L?wh6ce@~v#^!c(cXgz9 z(%?>qoTtSogqoEKkC>5@i~ShKF(w8!DY28s&s;IIvaxl3?GL8z{l-5eDlR@DIU^@K zH6bQCDl#G@;ElJJr?+oFfUl2VSZrc)Qe3c`)nl8dW(N8X9%!Ctry|%MYk^ePwyaR_ zoD~;8cUFLnj+U8)o`OkS7u3?ft#U#7!UYkk20b=I7y&aQ!9-PRX4BI4cx65ckDi{I z@x;0FqG!*6-6AZ0RqeW-wWHJXr!PDMg8jT-`-g-@CxUY3Qq@)Ds z$T%+Qo0%GFT~krMaz$C1V6c}ha@stdY8PRS@=QPa@Ykm06h;5;cTCMBFUd@ZjYmpFhKq%R zi~SiJmynExnUjzIgrJ!CSy6EbaTz6*n+A{dZ``)?3kwd8j0%43;pXb@<>~U$+4D7! zM;Bd5sas|*fcA8CadvibehK#WOP7%FU~fm)kc`~Kh`7xBqLMNgdS+>LeQova%2*G& zzY|uP8t7tgqG9Bll$wX=sn5yCN=wa5@U_>K=3=Cyra#KUc!Z9Yj*pDeLUSG zHR*{3HThA|sbQ|cklF1+tb?5oTa&eMKF&Uwh>@v5^u)s4+Q-$d#*XgV^pv#d@c3x2 z=T5Hf?#}kskBuKZHZyP*+g{Z!FKrEv>4oC@U%| z2Co93RZ^1T0FUBQ6XHAD>!A&ei0+}GzW(lpy0*#L_TsvUmASS3oq=#(28Y}tcP4s` z8^StC?Smc7{R>lV(7IYkbzxCORdr=)Nl|`&URG8{T1M7a100y(N%2vkeqQdb4h~Q6 zIpiYYP3@5M+|JoiU|V;_&+Sbz6+1)#XLxIy-JF+>|+f$R48O$wk_3~xjky2cG9-Sm$v!h4*k&Orh5?)o? zjBIMGht^itR##S*mz9?RYz6swxxh6@i46}1=ZwoMXEOtz{Pu+vR89Tx@=X80NOyf5 zqPw@JtE08Kxw#2mUtbTYtF5Xm&CkzGPfLnUhjkC`;gOQ;O%HT;ceOS_Yas3GWOSr& zN9UI|4~I(ncj~y{6KUf^X(5o^JB5hqCUkdqcSn0mYiCDyPdk`GGf+`*cs&FP0qzE7 zuEj+Kxfw~(;lX}B-fpfhO^scP-(t_Uc8pAq4~O-ZGE!2agVpJ=*_GK5R9i>i8UYOx+0yvpE*Z&(17e(R*F6npml3MN zJ?GZ8iWYQp8}Ky-`i6!E`%u7#>F(<4YzIAKfYn2Q!%|sZT9}=l6cY&mdAhl|JhP7& zz}-W)j?ImYj7>}p^^Q!84iEHxadN&Os)y79FQ+)KASWRkIsJ*4juQW1@59FC?%u}o z%I3$-cR0j!OyoqQ_&B(Pq`2EV3y>gVEzcx(8HeoBnifPIa(DuG79+z$g9C&80|V%u z9ux|IYHLFR{sZmmn_A|KU}8dE<$K0GlsJ~A>fF#;Ie2ZX4-trgMOSYKCLQ&C!;p95dOA*Z2Zp!mG@ zes_I(ZFdViT!e$a|B;xQj)j?MWo&F@sJpSDp|+~6rz$TaKE1M|3pp@0I6gHqGd(jk zH8F;9K8J^akJ;OcLUng^v>*@-u=={nijutS^yH+3xY%f5x8&sJA%+T_LObSx1dY#3 zjgNx0Mq{SX+1A?9)X-25yxsE3!m1TQ5-K_dDsnOcJVNZv?ZXcru~tX7_7?GvGBZ)G zb#)Go4kIh->fzmkLv1w$>3Q&p*@?xu$+_9t=_&A<93KT<@d#KsFk5s_H(-BjYjaa0 zz*AXLSdg2S19V|dK~Wi`v3;;H%qamqj2fDpo){ZJqX)o(p+O5|b8{oC0a8<2U0nj- zC#RsIq#_^y7Ca#l0oL5$)No6E|K`XTJ|Wf&va2762Qt6Bp?P3%aIm$itQtPPK0h_m zKRh)HI0X0uoO28Tml`Y?1`$R;k%0d-b-=T)1fpG0T?2)~TTuOg(>dWqr+)la0t96qj#olY;m@)wFfoO z+tXcG+CM%r&_CGMRM!COUH~%Li=Lbun;IXR7#$e}3kCpT#Ip}Lr(gxTI>1JQ!{H50 z7(yUg+FCkMy?uitL$ed@EoC{S)qRuw!y_Xjz?lV$3_>e#0H~p{5!wK68J`)So?Y$k zX{&2OA)!@SS>+{-#f}9lv+L_)08JN=i=pyt^vvMk0D7dW0SRdsofsJ%7@P#cJT^Wy z0t9+w1hZyfuVJ=YUmuX7&Mxo~?AG><_KuErpk+`fG`hdPf4Hx2Xn10<2UgrQF*wlK z+1rQiMge^RINFQ=ghVvAb+kgO>l<5YYRagG3lPvy z-C*oqAT2%pqrFY=wmxKGSyN|c_aM5vw+rYlaCWq`w6?Z&!V5AB%d5+P0?UX`EiTE) zu4t%^Hn0TS8rcM<*xl3H*WZWg=pX6p1@bXCJc#ZY>_?CEAo|8f$HC?r#4vssa0s)@ zfP%z`5gLsGpnAGHQDDT5POzoHP(WL@0G72PTRK}IaCl056|}0Nt^**)?8La9sj((4Dy6u*C@;65D8yfs1ZbM{`?SPY(pz zKa3g}9UTY4gIO@JejaUDkv1*gn$=j6qMIgRpi9PCnS|O!C{Tf2rwU1 zPj5d6b%Ay0LxGLlglKGsrq_Tq8w5f#4mbm(XJ~Y62ry`52naP0puR6~x;xt1Tie@_ zNMtkEJy4(`E30cTQMDRqZBs*1WKn%}er{Q1c4<4P2^iSY+}eUfHZ?TX*CXK7RW$Qz+q6#2?CD(g8clP+=ASaq|icOmDNGYtII2z+d4Y{ znr0*t(bNEi0Eeckx}>b6tfB~t?rN+}j!Jd+sDReO8{h~GAiz$HFkoZ?)!hn1bhX#R zk>wCnS9=q*7S=T~H8KDIVN?+2JR1QL)YsqJ1B3?%MLRG8T7XFcht^boJ@&Ifm@+*f zD<-C{s;<5g4y}bkV6e9K7NCO=O^v`B0*bV>w5$l6WkrSc=yq5`Nm8^&C{SiKbqx&& zWD5vB0$FPZf{8+*dV7#fNO0MWXa|a{4OWnuUD`Q_9t10g5pEE^{1UqC@9P18!1>w< z4ku(Q7z!x6ni{~O(xRgLoXn_%*jPwSb#rZf1GKibv8k)G5mpZ*tPzG;*J@xy<>wU? z6%+%?%FU1Va80gZ$L14gmtFLba`m?#U4HKdT=RrHN z8QI(dR4xz?Gzjh>(S3ab{b0X?V{8-%)9A=hKR5`$A_L_Ec#9DWU;;vFDk_Uh^0TrM zlA|LdZaF|&8tWhpu%_<5wz~Y}%*qBB1X5dF4iry8Rz_T0VoX|&hnbg;$8$RukB9K%0l5PQ3$z{%^nO+Pz^iHR<40AMOHB9E~O z62ij6{Gwu>Ja&EMVDIGS8Ije1%uXr>mO7BF(sFPnRse1RKEZ*tj0t+Tb~Zt(ipm<= z8%nByP63cQ+Pk}ZP~d0)iWu+(d;xK80Y`TeIG12`)m0@Wg}K?O$#GGkK_R{&VK?ib z&WM(#t~Pj8PI^pSC8V;dw74KIH!~wOF+K*kvOd0n&aXUNUFXPK_veL?$+WN-&MzD-c;2>&7VAK>)RDj?x zAc@f0y2?u6ab>52fy07AyaNI~gQ8py;w{S>y5JRMnMpCJ)m7ycfHfKEsi}zxF%e8&Ym1Tu`yE!>}1O~j0 z08VgzVNq#WSw&S9kh*H{6MO*#-~!`#R8>`gg(%F;12Yeg3i9=L2XQ1Xp8~6(&7{h@ z(!$a>|FG<;($b>r%#>uX^P*xRLxbMD@pScbF>!Qs^l*>J&(1Fi_Dai6N=-^kij9g4 z4+lP82(US$W8xCx6Vu`X{XCss+*4AyZT!&C&ObgWF)b}EGb;zfOppc1%FF;?S($*R z`T2z)cL4ToL4H<7a$;gZ*sVPy4K&p0$YH6u4EF(V~05!??63H0}S;{)i;8$bVmpun*3SDL!F)UF6} zo{^A|6_?cX21^$k6BiekkdT-d7abJ^UXhVe81RXSNr0{CnZO$cK4M&CIEbryx_jHc zdS(~F+)okX7Zmu?IWRRVJ2N#6xXYm+H0ba1#`m@Bt5>h=?F=ugo8MtN8dl37^QYnYD9EIXlOuyzmJcXtMfBkTPur4M#c{w znwnc#KY8-PRiB53gsTv zr}rB_zW_iW8sg^e^328Qv7L>cy@G1|?K`TL2KVf|LPG*W{r&vBJl$S7IoR4hv9i2( z@1DNF1DpFo%tAW;iD3bOuRXooTwNR;Y)l{M>*?IOdHw3OYw9;OG_|y~_04V`qu{xq zp{dA;wM{{HfUoT0^4!tU!TzbOt&P=V6GQ#`_w@}7jg5_rO&*v&wzPiw{FRe40BHa0 zndQ@`4@`}94b`vO@GxbaJ|TYPyoRlV_iK;Wo*?pK`^5B-sfn?%vElV=H#F|(89y+# z@(c>~_x5so{@mW$>Y={=-P_l%C@IKYkdcy+mX?;1z96rpdP7}NUgfr)?j2=5D$=!j zGF|%z56unl>H@5w_T|fp7eO#eRZUG*RZacI4Na{(clGWY8R+S0-qyZzM^i&X^_u2I z747}jIC=_})2Eb;OrO87dueBBVWOvV`6W+6a_`uXq zSLgOMRVBF#vN9lJapv^tQvw3~Cr=3oo{^BhqN=2LQC2}!UXYa#`^0VCTROK@R8_?| zdCrIl35tlEJtulr47@;iO7?=H(nSy#zo>9QPF_wyQBF!${`@&{VJWei^<2_JJQgld zRSj(&9X)N0o7XPONlQt|$V*F{XJKMy>zf}Av9Jiqspwf)7@1g)9XooI zop!9S7Z-bJe(N(1Ep;$VH+-TU}{=kU|^?x&rPTZ;#j{c*v} zJrh->O+#xNAWu7t>O{g@f#1^r-1w5Rn|Dp^Y;0V7`~pA-J}k)7$;rvq;;ECH_Z!dW z_AYK7{*kdssUX-F9+sF_T2>Zz8eEaUhCmbSjax!uI6HboX?2_6-bgOq}LZD^AY{OfJr^XsS#M5ApT% zaI&^`cCpdFE_qtEFuQtUb!8Xt^A0uvA?Xp$<6NvvjC5qAOx#R3?+%}uvL>p%>sR@eS` z$EKZ55b~WL-4QpGRdnN=<~3V<6|G}uC~QLy?O1btN>kg zV{k6RnFUItAU7)*13v|}fXRzTmuS;Z=9SH=J$DT(ogzHSFDk8|q^$AC**82MSOCc> z2_bIg4{cpQK-SFcL)3yBNyNhuJEG%8LK z?)5~_5ml;YkIi+$rs>5l$bu{j{}~z4xJZ8+SthC@jMPL}OHG+s&1<-1>oCfJ`F0CHNA*W?xrXi!_;-**`8bu>JM*83bL~INjS=W+GwP2s{KNFm|@0ST{ zZz_n1FKL2TfZLm=->;=M|bY30P@Wxhuc9(ZWpP7Jr zw;20=SYljE@KZ&Zn_4oo%e7(7w{_zbqhOnSc6sACRIH~}t$f0QU3C;xOkBLZJzZbM zg!p>7Jk?X+CR!ewUjMMQxrIf_ETn4fmzY;ll#>z{9UYgH5ax2@1T_gE_Hs*x*H!w( zW$H63y079}wn&e#9HrW@Lio&;XQ3Gd*%7u<^u)wC(>1ZKmx%}Gu$D8- z{N5{vBW4%+ngnN$jEZtopm+E|_JX$7H~`ttlt5LQb{&C1En0OoCY zDEL%YNMu3=$Tq;+ddH@xKpZMJJv}QcB|6C0_l>9hU8OTTj5JKbx1M?X1%{_qv<*!R zw^wII_&Ax~R+5pqcvZ{D(*C*mO#xh3n2WWcx{QdRkPsgm9W?{T2|k_^=Wo9VNGygA z?J+7iCf1L>-8(!y__Tlc`EYOR?efe}2dpeNy{4=LnC-v^gaCi6qND&ArFGqNyEr(z z^PN>$iSfxfWzd$MvBk};x6`P`Y7qIZZJ9hErKTX*S(sT^-`aZjc4KR2`|a!y8vJS8 zzV5c>Mo4*PxEuJ-ZlZ#GoXpe&+cSNwu(G@YM40K7q-#35ZBYONsKc(o&F9Qc{o-5)cp(lMrKcGS27i)!7M53=iFbfRts$2DsWh zdT4G7Od@B`;I!(FA&k>Fx%hTtd2*m{Wa$$=DJ3;69X%~2G0yhVIJyN|K|;;Mas1>d zK&M5e6xD9t(Ya?}^3de2+BtS|931jvA`0r7I(h~srsn3RCIfjPx|u!+Vx+D2^~5p(Na29S45fz{KLaeOzhz%j#MNkF4xoIJtTNdoIA=&j;vl z{p%n}EhsE5r*cC}&)}hjtpg@05At{*k>~vC8OSl+*VVkPEOm;74D0>7Lt^@4yg))Y z*p4zW&{Gk8ULHWyl$BLM;ULHXttiaS%qgyG8=P5QTU}mSTv}S3pPgNNk4;L)%)*3O z(7}PJ_XM;c6D%sBu73TNj-lC8FrGVzroVm-67DW9tRLuU-cVP+aa;SIp^2%5jr~h! zH;~!_rm4G|i{tYr77q>e?p(hlDacMkh;@KNLeC*^RzgBlke8K~1ZQi0sJj)})-yW) zc5D0n>dX*`6ZVYEZG7C{{|Fu+nwekQ#UrC<1$kC(Hag-@OXH&ppU7ARrIoL1Xxy-{ z1gZCDF98}4j1}zV39{KB`)z4zVrT$NPoQY6ZJ#*+gBY*}!=RVX02l+^+t)5%5EtY* zN<#t?3q+KRT!P{kl$4b($xEF*$;m`bjI;Z8VQLJx^B~4HIL;N|1xV5Y*~o*x^X-6mu>E`I6OJs=e}Ha6DQR#w(FPi((DE`c$`0fC`iFslQO z`=7}1)k}xx_D_JJeDBWn%d%nuoQ#wNpSRYQm)Adh#wVpda+Hmo{TK@)Ed?R=HW1kE z_O=exz|_h|93l!@MrIb4qm00uA}1v#CLtvQiXRY=H)?v29v6{RymsgQ1CVD1{s180 z^f)?wbqd@)z`}TXc(?=i!^PPVAh3OE0}xw&B@1&i(}%|TckkR#Rgx7K=I3HLLPbh| zbNKQ7`U((>ndvD&)3ftSYwvaraR^8#X&G6Laq;j0`|!kZ9`C$FHO zaPbQ%Dk>^nx}>afMeVBk4dAxu>ggLjcmz1})b6>%D<|`R7|H&Z{(&60@D2SYJYb*w z9rUk;m6gHJZ;brwhF?m4sQL5V-)Q<>(GPWhF8x{n-pfEBP$&f05t!dl=uZz8L!r{L zvfnoQsl_*4e_Qr5oZq+tZGNNlo8~{>{T4TP0{0t&LVxJvyS{#E@w)?jf8#e>d@20C zCgwdT#w^a)%WoJ2g907(rS!L2{i;mvcjy-te?a!D#@`qG3{@8LBa?oF^R@1;NBgml zU*Gx7lJAE6q0TQm`5xAn_p(0#f_}r7-yGqu6#m}ie(dYF5Ml8Af;oR>;NNNUWxU_H z_fzpNLCFF*U)uc3cK@p1U*G>%?7_776^kHXrGDMjf1u>Yk^Z==pIG<}us?3`*Y5t? z-D4{LIK(%Xe{Iz7Tm9VOzm4bnF8-ePV9r0S#NRW*pYQeW5z9Z17Rz||Cmuf@#QNHj7b74mj6Xi-vN;O?)^`e)nAA7r&j!DLHS|89}6(@gZcid>i+f7 z{rh-?DT(7{aZZWE!+Q~*T3HM|BMlT9rAx${+9#)<-mVA@Lvx6mjnN29QdEu zntu!Ee;lCyRfpx@V5#)~rUUhF;DP=db^aHtTmaepe-iy2@(d*4FAKrnfd}Kb{zaaH zn806b`S&!#;Q1#Z!o*B|cc%Y|$mkz*|6Ai;fMOc_y3sdb<3Drxt0BGwqA@-E>JFyh z`>w%bu>jA1o_-$u&-M+2{XyRC$2{6^W%Pcl?9UGV>-r$8^D8_*=#+)uVa1r z*wAkrlby>b3*tv|x>&AlJG{dLKo9q$+QL3iJ^ z|M%eh*ywBR{}F^=;`#GvzG?BFM)N!K`i@1v;KjF1{?l-N9QTiS^gEFM&f?#en7?zx z|4;k=f5nB6xOiU7n*(zs47Y@1V`JN#jct2l+uk@6+t}FF#2ee1_>FCQV<-3f8Ta`K zU0q$(=Tytc{Qu&#Jgqkju`i#p95Niyf-s$M7m@IT_3%L*(G;l|2gG=g?EW`T9iVGT;KksOOenV=HSg@i7#9sAET%P{jKRA^&8dI{2Y^AYp-Y;diu zG6gj!S*6NByJ2~h0^u67qyIE^uYAKRk5aaP5d28@CdDnz#t$e(EY>u_6T))aLODWs zTRm>2^zhGLRr@_tZfREt^6Hf_m1f(tEqm+ZsDK>T!H$Nm?t-MskB1;@Z<3%!L8#RN z335c7I`S@863;}beS=ga!KpgUMa%uCCX2T@me}yUF2e##A~e64h?>guO`ew|iwjfE zrv!hNnvNrgy1V-eW5YtGiTCYwxz}il*G%aWYpAwoCNAoF=q~e9k0#U{BE|l`UCKE7 zZ3=ZU1d4o&@Ke?%OCrQe8v#lRG1muTw82J=bVC0lW0%guwsH`i<}MBji%6oy)(WC; z0me+*w2EK1?Y_#wH95n~HeF1y(z*d;jOqgni?kiz(TExL$3jx2Ym6$al^3Y;0A}OB z3ohoUNqEB0TX>baV^fHE4f8dM7=J^h1!E=t>DZU+y`=*jqIe0}KNq>X^vQj3(Jl&Ta-nTHTbzAA1+^5ASnReOWO|^yXrD)r^L~=1%4v1o15S81H`7KlCEk- z_-tc(GIkyIB=>N9R}q-0kZCuJ!PPP9q{ai1gLkX*q$~C^c8n2L(J$Vf#4Z*c;#rSc^_)wl@N5+`)Wiiu@_B&Fc?CYZ(%LqM>`T|}am2w1afpO2=Ky-f==sFF?Bn4HxT&EKFLv? z#=?kq%U~Y7QM?JNY=#hLZx7?c^P)h26fV1?=+!57Us?pGbyG|d^A)6txv8kkL^Zl# zT{^nx#S%6=??s&~PS}c_7@y%7QBhApGOcr2aeY7ZXqCpK1X*iuvMtdgYPV)vSn_Q& zTcy}vqwbil=>it~Yp-O43AKxxj zS&dt27(IpvJR!@+w6+~MCw84nK~E^?#$@tBx~u2>RmXWl@CE#01J4Cr9#v)voqLWJ zQh0@?*Xx|}!GY}AT`!6D5&15(A$uk$#1QcDc14FXHp=LP<+*hv2Ld_u1o}RA&l);% z8q83_uh7>d2D*6`xn%$ea;j1W6(XH$6DA$pwcul5Al5)*+DP?c9NpU_F2Nm^Qvr|) zSv#t|0I_+n@W6Gq%sJeb|Cd^$R-pp=9{;7vL&(1AX-7Rqcs>rp%7|@tv>b4@9uHve zgrCYWYc0M?%K(3uhY5F9RTpu^bpuNP3cTaDiG6;2}vZ>-#a zDfN4=y+j~)t0I|z%8;13PE1TJUTUetRX9E)IIMgnVq<;ZuMs~UJP&Y!^@Ae6K>(;H zrOY57^p0M?IT2jPx09np7h7j)AG!qRNvvIGgw#q~K0+Trq}Vf>=WMo=RPrMzM->4v>c?TEfgKXY>x0h$ zft1jpG&Wc|c~nk<@fr@*&MkW(!}bcySFdSCfX2IPpE)G40>0dBOw33fV{?G}hecqv zPhNw2oge8xq&1k2Sg`aB&!18p?SAiNZVcy zN-FLho^E3)Hb(wPA9E9z>sF+pm8tvct)kw~^rYQoP!IQkN3C_5!;)bIv^Ng{bAmVV z`@aG9bQ+F3>>U9@qN$`+kF}=9AY+8JLDOwf-&&knK}!wVS}NnA>&{Mx$8-eASNWrU zssn76q*K>3C^4`Xo^PZs-y+P6T4bEF^%a*;ftkN$)zZAUgiQDYh;`B{(l?=|VGeB$ z^i5Tt&h<)R{$^(*dHn`RvvkK4pMPC=Y(zFAKDtH**(DtZ3~3sq47OKfUV}%eU9O*94_79y|W)U z=ZyV=)Qp4E{t^-HGz0Zg`v_x1o;;)D;nhc-wLGOwJnL|sx|KQEtBV!`r6^QJZ`Y7^Vd9nzkLvs(-*&dDQp04l?03<1%a;gl2^ zgByL#vh6vjJBD84G{03wd5gU*8_?yR55)M4AL6@B_xGv1wxcK^kUScn4uh|YS3RRF zzBf+h^$pZo89HWUCaez~0lRzOTTy_fVzsXOQn+lJhxqX zp}4ga%@KC((N^5J)4I@WnRy(Lj|_UEmPvk2qJ2Blg=ao$kCLncb8ogqg(K6a)r$r; z_MB79Wc@4S-9t3K*&rBP2IC4qM8>A>hnR+lteLkt9A;cd+f7wFL)Oa@BLfXWty37< zEU4Iae~XAp<8B`YzKdDREr)=`LgZtc&&v>S)?DL|h6N@BV)!Mho=om!C$+7ZK{B+& zt%*~|mw#I(%s&*WJH>j)7Tp$D?DiKaI(0mEiBDG=6g z(!h`Q);jRg6h#W`^IU9|%isvxBN(Q*Ci->#LUY95s#^J ze2Gm^P0Q$&C%?wP&Er>e<|Sya$-H@uF;}rX2>M=){piMDYQ-eGMO}gHqKMpMND(3j zqEXv)HI+m4Yq?KB2m7ej#`-rPz8W=+Ns;hjA>dHa^^wNHLPmkg+-;gXnKhhF;#rlIfn>lu%w2&RihG%f;=Q zPuY37;q)7!XW6a(ibXU1BGVHurRBT4ruOg=3yEUp)>u3R=^d04@G+TxL7xg-@{yLM zg4k;%6-|SUsL&qNSu5P{w6wVvSe27fRn{?!I5&BCKI@71&U7`@?#y==>R94wLAJw@ zBE1CFnd?~_nXr!6x$nk?+L?|05+4ar{h=W?-$>U@aXp)}Mzld-!#=WwAZ~zr76WsM1NG)*27yRzK5AJXn z9X=`C9*V~ZRiEKbO0?kt-_#)r`G!^8G#d0}G`B1}YQ{}1YFeIj?MZG%YD79Zhyyi& zdr0lMR9~&1wP`7tm^66g=~7QIVd-@Ih>Q-*Y%w-#2n*($J1&n^*bo8n;Ub?T{KeUx zYW6Ib&votPSx@V25Q4#jpofCGo}EmkbqP|vE&?T9Y_C34$$*5Yd~xgwWx1ZgCM4_+ zM*LdBoUsM5N%l%WoF}it0_FL8w8J^|6d`>}lMcdH+r3*2%rOUA;^;?CLhh3XVNdTA z?@59zP6+24xn=J5D{4lT3#`w5sr1k)5O&CILHv42fV3rq{)--~v}YX5vpFVShIU*+ zCZIXxQNWdDOh8z9%%R>vRUbdEagE6&&mZ@k)OtmuWscM8dy7AXE;Z7a0f<^WNq)l8 z5mFIYd6#It6n~RaH;1|Y?z&|yT~}^}YVrksZMk9TSpZN#ufO1`ljN#BqFUI~x+gE` z4y0kU!`U+^jVrje(`g8{!ZXl~Nj5Aknu_(3jM^SB?D$>=(`tU$78UmxDeKK?#cm)j zLoZiJ6LbsPk4ETBA6DIYu7tC4&g>b~v_{qxY+6MX!#S6ul24(W3zlA%>@vEg zk*m?q;dGX79AxD+_=?5gsP(mD4m>w;W*;(XGnBHRq{NNROa|RHiV5_&04;f>TkgfE z2Z=TQgB6VDJ2?28?|Z8zQwvPnogM5fpr^~w-T|7vuX+@&RvB6?Eo&ZAV!uxKJPu$nC112g$bGzBJH_D_ zktM1{VkZXb>T)*x1V~6G~z&* z^2xT|=@vJi1~Q)QkgyBRMMe4jau5Lq-f68ybR3s^YbP#^GfV@u4d8j>6_c`t4APd2 zD>+S87{$P}39%C1L5o|dC$xPrQEx!`U&^BBkS!%O%a?Z{UsTcEw79pudZB1FR8>86 z1e~L*+h>Cl-y}0xT`!?2G}HjBj$mu08!L{mJkPPB4iQe5`MVjD@_L-5?tRU)S~Rnm zj!(#EcB%C^ZS(==%=R(lP#NYZxs>hW!cF$PyVkTK$u%p-UiWY=F=MtpN*h{RIfv3w z9L#~1zAuk~w3F4Dlps->@`6IumOh4sP^$h|x|0KUTyCrK_L253p zJatQf_t|{+G8>bT@A0z*z7`}8(=un}?g$%UzDu?O5=4$LG;MmJTqFb4HKs(yO^3(y zWC{i;`s8R%+!twDy%$WUN-{hr6B7)k&9WOT;=)R_JFjPtZRkR@pd4gg)*mJKd ziA+IBFn@lE1(@&-)(g&Q_)f7EMKd)d(H@`(wpDyFz@<8iq9_L2W23e?aW9h&XF`q^U--`OGUSdI9q|w-7Azhokl;RPyO-8642={<`N~@ z32i8lZ4q*0D03w7nNqJisu-cd0=2vx&5SxldZtbk2G;HPV(W(#UC(03IEUrJE8q{tzpBq&NbTgq0v#wj?BoqupT{|JGb3JqFuYLmT}Xow@dKR z7hh1GvdGw0sjyBsB0?$gN`!b@$s0RJ>zb@Al5<-eO1dTOpjX6S zITX1e<%EfPbki{Sh!mi1>z~uLl@HZFx(yqNMZw|=2fjTK+Flp>*QS%bNsFV+VWY!M6WZ3KkMX~4_5y2il;p0;qxa&hvB;6bR9s0Kdrz9`eT)VpFA+8NNv zE!g=^Ecn@!;3$af;0&u?my%T3YW_Q-H4oWK*=j#EcrSgru7Trj83Hy%Jr3_|FFD-Z zC~(-~3e#@Pyuqt5t=+2iA*m+Qt^OPdHuLzRY-xZr?z_%crYRUpqDIQ{{A5)`@%TnZ zn`l%7fVG?Gwik_9T=i8;LL+dr%xY<6{C~9_7 zRRY%||E)+fjOWZu>nA)Au#=nYbgri~+{R>CE4y$@gnc+gz2T?T86`Qs`K>JEzl~9w zSa}KkV0S>>fQYOkN+d5|KO;h~kkzV6p!4G4Nn2yiGL1%D1BVh3n<7=5r(w&I^*Cje z|G}%Ok{@Gjixy2-0fc*WY65Qc#J(7`YbWS?FM9jXbC4K6SkDotoOrm!ECEYg!{>Rb5_B|Sf{JFWSfR5CzRF#zz~}0>99K7 zTE4rxZL;Bp-dNVd(&L*KfL@)UdlIH73q95SoAE(M`m&@e$?rOWb>(`kFsp43XTbF8 znh|~uYS^Z@x+)#BDJ_2SV#YTx>6I<~)(#D~ysYnPF%YVNYDiRLaPq8!rOke6Mm!w) zk^>$R-)*>V$3={4W)M{6*@n&B?^676tiYerPn_>kG^<=NNWU*1ZQ+}p2pWut*UTG= zvDMPIgZCy}vs}qw-7*O8Ca|=e!*A$+MeL8sFw<`nqqDRxcoAJ9!mVuguIECXRh3{c ztxHD5c%nH5o(ct@I7jOR2Ck~?uUQE(Q%MCALHCP)tU{D$1;lomP2PNxN=F)3ke=&J z8f=pA_fs;mgoD0=B#x1SQ_Go(3t@_0MB6p>r{a*yi9JfM@mcQ13|WJfYgd~~mz@D}OGzpqT%RV>G`v^*^8e|NSp zjDjq%rw_YFw<_#n0dY&ovRV>ibhGh(bI8?Q$wd%rzYoaCY&ENe6dz z9`8I0MN(-v*zD?aBaXd+fvpd|Y_@YLBiJ&RFDg*zPOBl-q7zZwk%#h!Cdm=zcNA; zBuxOrGX#tNmKFUCJC|B`(SDZ zzXuN@{gnp$fR`UW#kwd~=%OuNQz7zl)`2hUcd6APQv=bY%1~d+7w!uDa&N3O7@B?) zjM{Wpp-xo&B*QggffksiAlDR2y8;uK)|xKyojY(SGCHUCPzQdq`)d%dc?Jm}gzalD z(s9I9CYUN~ac^Z|0@x&Hs|{jupftXp@HYY)gJSY9tocV7w;xu)FS5h4#;MgCGwL(+ zJ7e#?4q0`{REW|A0KyXibCEKC`%Lo)oy}MN)wAZtJmMx@!w>lGb-e}qmF0`&9zvcK6U3mC}ul_xNhWRmz(wX757>a~tIEj5`WJwfli2A1N*gJzBn6&jo zaT}+^zUz}C<-~cxw^LUc?R$Q`-9tFkW2*PeaXzOXH*pRXI_osHK7td5>~sPnVare9 z)bA<&o+*w{Yh{lhPX^opO7U?cQ|QISg6g>KMJw24YGSFt!ghL^OHL9RM{i^bhsyYT zG7F#DY;{Td4BS+xpNeNY8}oTq7~Hs*EwNhxt93XBKE4hK_*0>MAh+nH$P< zYgDGRUcJy$Rj>{MtcwtPUP3~|c-ZW5r>=2wbb}D^iU>YQKq^%3h=qn$Id9z9*eFv+ zv%|C@t6v zn30bqo!GtWEPC^Hg|U_efbmWO`+RLh0phWrS|JYw!Yd7z$qw-hL){~{gRts}^Vpj} zg(FDp+ymI8*wTt}WhltnM3Yi-wgO+HkGm2!c>N|WL1h(M2Xd$Z62Hs@v-5#T!z|zp z-4oxPIyN+}m%9Wq$2`jff4t61?FF{}MSNf|Tn!Y1o%N&G%05-3jQ?0~kHL)1v?O_> z>xD93Gf6|+=39$PQ)hyoR$+PR9a5)xQ6^(O0#$8w@Z@+#t?T;QT*8B(wjKkOX7QpP zy;@GN+4-|&<~C(6bs$|wLXgwJ}sqnBff z@Dt8xnkxDr?}Kq`U(p*yb%WebwQygOo(g&UG>A!G(69@Wb#%i;u1=ef8b4`=c|Sal z-jo({TncG|yKuXYO{&85`9zv?0!sS)By+77VXD>@mQ38cWnevED*W;-@mt#a`!rp+ zv33ilj9%FYa=?K)s%`8H>CuA<&u4GDB72>hkttsew(1xU5~Wh;Fg-N?K+t^K!eTp< zm$(P*-p+A=*5RxWw8rKlWXYWl2%6=~2*fwkrP{VHJtad*pDO5$ZD{bd30x#dA{B?C zNFwAS;HL!l-1qO0QIvlgGoXo4krtkyK{%$!2UiKDzEXhPDQLY-{mbT>Rx<^mA2f9p zghNc|d>I-{`FyGC2!-qUXd=VxKAZf4`7v*r3}=|6@GEbeB(#F?TdmUyN!**v)6CEU zgC&u8Z;PZ;95-3NpZ1ecFgex$G3W(Fs26rfXdcX2Gw#L^M^b14`Z5CCNpO0_k~QU4 zyicbdX#1V144DD3CFqqd1RpHJ#soknko_Ei#GaxZ>O6KYS7$I=O#hO5M`1`Rg^msb z$2vdH43j8rRDIa6bHqt7g1#TexQ6>e^byoofEJp!frphi1fIh##j8j4DY&NjVlv=G zCjSLVo5Q6cc2XsI@>Kbfcb2)`ShRSHjWm;HSOxdYx7LJmk4!lW@UD(Q%LA}6$MFaC z;4>bzAiJpABe}(XwelY&WLuPvn{+)uq1NmQG9cD}6D2XsLN-Jp2Q&%u%ycD}5~A*n zAamVITp$DwkCQI1@UuN=vpAp4kqyrgMwlBob-fmlEj8{)3>+z<_`Y9D?bP2dLH9my zu`fj9tnCI}fhk9bC$Vkb}(< zVSr^?1x!1O49opHxr|nHp3Ks?Xf_yTsX;1*OxtXwUPyG3ljpDFLsp$T&gSj1UG#@o-(QioM0Q7Z?%=I`#(!h+@lY&s%qt zS46CPB730Li5&6*8Bg`GmOD3(+xX&OQWW<@&E}&?@2EFMZAWWVb<8lKFH{dIWqb)$ zl7+-hx8aSo^xZIPl?C4;7m}d2Fa)29fFc3K5stmM$+jAa5H~hDDXnpsta2awAi5%? z=a&WZnWK(0CgURU1>7CK{@L1x@IvR7x;}yYL!)kx&h$KFa_sqC3m7t~F4jSa6eKyY zL!ESRCy?6WT@ADG%;sB7H8Bq2q^b{JJ5wM$oIrSRr#M-FUU#eETK7;v-6jkT<-->W z1u3#R#m+`a!+#H!q`ry&in>bgv1aj3>t;l+LRH!9qlst z3l;?dth4vgcq+OO=_wywyp)u$+$B=fOHv*s58)a1jijXQq|PE5pG=iQ)?Tmn&5w3|*V@F{;MT(6oQfI$4vKJrch>-c<^P{I~3dqcPs}5*|ceB(6 zNMr>b;yYdvENORv{1S*V>mganT(8j%kRzYHKECvVbFF$_8nohRtFrtz)ZR;^KOy06 zoxWsQ%E2SI2++hbzv>3@#q=u&0N-O_$Q7EJ27a9_Kl7YZUdwQlq+eTe^iSe9Pa|&% zDvs#lj^Na8H{=)T2x8xQA?l+{GHG*RaIgR1JD&ee(KI~c+o-4)QsO3_-liWZofcCf zUyr?7J=kp3F$>JImb-4WPt#&YGD5Oodbb)dq_90%!OWMsRgo|cPKhS08?{(zz0{gU z=fI?x)DHKuSv6F`&{kB4KV|e!?3jWp!FhJoedO&B`nmd=Vy8a+)Z{tjI(Jdq7ZZxKFdS)W}VKsB0i1zE*tl zUFYT^E4?|aFc1nXa7G-=3Dk{VliTL!$oUMV3m`kQy@U=a%gnH+8Kb22s>`PZ8OQyr z6rGvY-k>YF@`b}jo`0uy@O$ssn4 zge=wS5}$pj?>DW}6D!K{z`o5-a2l5M3yg0g^}ck~42OL{d^h5dm)7`T1$yk9^T4>p z+%@31eWld6ahC@p>fy^*mxvu@XKoFjErdMT<=*eYI>}J843>DL#=}Jt)8=IJ&tK$t z9`w9kM($d%_|_aOAZ^8`-CmHbJK`E_zF zp8Ig69Ja+?mSo9~bMTj&tuR%garTijmt>5GhtTxoFdiq2i$JaqXISIMgf{m~)~#r& z&*yqW%;x{Pwtu!Z#=G#uRiJ~O?QsF(=Mzs3ZF0&frhZ{Bpt1Po1$sW^J_@LAafa!O zYT9u0RHA>KwH`NtUA49?^a6`s50~hn(;b7v8(u|)KKetAGRR%2>5@&$LUXi*(M&XU zF0y)2PE5kobl1fMeqzZuOOwqE0Idx*@6kt<{wVqa=r1=D#Oow9y5vAuWb(U0+x&(> zd@e^!R*PzSm67BUU$X%7T+vEtONb%}K%+wwQsa3bQ?#2^_Q`WxreKoEfD47Gl+lWM zt3qP`4~P*n*5&~|adYsLic5cW=VMMx1tCAI$UHs_^j<~AMk zVcX7BO{K{@f-v7_eOr|#i%IN_dE^C!Sruh%_3xODSHhHK?ehg^vqi)`hwwxF_f?A~ zgqOSklFbZ3c=ytXyl(6n>Dnpf;&&%X4@Qdp>(S?y;HB3ACYS12#1$mDt=taSTWgk= z^nqByz5s&q&-6id>vZbgO3CDv5FlW@3CD4pAAzXhsG$O@Ozl2!l zh4vW?L$<;`mB4eDTW}WiuG_BW@JW}I znC)li;-sO+Zx&Q#`wxBfj#%3_Ulls{d8LRrnIJaX%^zj9jlv~LO!r$FH2dvL-;)K# zkx~$-r%rk62fcIYwA0fQr03@Zh$Z&%P#tnbO%l!O=Slc@5t6=w>~c^a8p*g_RWA^H z0mwCw3$30wFYuMGO6fvNiJ>TVA#y&xt%Pg0{4)TMNhPz{P{(@DEwQjB z25((OX2**=tHT_+#(%g73Ssk|GkQ3DrID+H`2K^h{=7r&<~A?FR!5>E6;A)#jc47A z=XeQ~d{n{-*C7xA*OQ*i3Ke1gw1zPE`rb4Py)@@y3)1NDnWuPaw|I9|KO*4VS<{HT zMMAU!Ge(D6t_8MYlt0czBrXajMI)rMHyZzQa6KQHlP=;>JmOH%%+>iZ-(%lq#@Y)F zQZ92dK*rcoEfm2k;1J5kbmRdX%J*reX?W3IzIb0e7TE1HgGQF4On`=BO~d2^eRO?y z%n<5z%_A!*9UZH%kvhN=FFQ*jqrv~f{Ns=feibne37jR#SAMB#fJSx5p+RXTbfaOTr*X7I`qc+ZKZ^SI z?W%S2v()XjSfK*`QUx{N^wrzsDWvz|Rg7$=3E4N)}3eT-Ll(7-{j` zrE*So?4OgD;Ff}M*=Q~L4^@r^)(U!ff$P&g+8pl{pIywA?iX3i+RZs#a`vnqRBm%f1m~ia)vF(Ilpvf84P3Tr`bf zpmRYQ_cTX&(Nq04+jyX-gZ7|ZbcEC@V9Di&uT>w4LfJEZrleBadv*8i2q9F6=?B1p zHyxAySlx<9#^}Qn#DdNjq7KB3QCQY)U=sNHtGn*_qc1vFsn@;|13c97I&`#a;Gn;C z0BGlQ^Z2dzf|-NQ`-nRxZODI-X!|r)Z(#>)CM6D9`1L_|$ zt{jW&2v!nJf}7fUssLqC7h!zNn3(^<_STRso~q5^W?DTkA+~$1D5&n+W!bju?8w{v zo)%Nh<8sSFjs}?ko0xln6>!nZ}m_@lwdXDvQlXPP`>f+-Zw3lR>r zrz}Hn|4S+CzgoX*CS@sOeg6CJqjuwWTXAABT&qt-8fUUAhLn{bW1)H4ukNj}94Ltw zp`UL_iN$QJLwa9>{Ejv1CQ6h=Zx|oS2-4%OlX`7S%@}Y$eCDFPY{v9_`?NQb#!2j# z^ZOCtReeMe5Epzf)XH3=(IxFAMzns2u;3x+Lpj+tSEph5qVxgBdFtisU8Ux zSCQHcwm)H7Z!=YXPX{%RvI(RG0K&69cBW?t-_tE9{^bYSV82JUqFdtfD6`djxaY@c z+Zq;-KE%l$Iv!4F3JISZUKNjr{!bG*FK9!4iR7rO`E}f7U;+m8E3GK*R3|+t1m`lw z0m(0WBZyZ5F46xctGM>XoQ$Mb4RET>M}zVPjhlV|d&>gK38F{!O}(w;%*}o#%n(W@ zE{yiqF&ip=xYb&q31h9^_FpT03Lz5zZr)pNC^0+lOTs5bOLvz0&$9ssKJX)xIgNNm z*GTD^Y58EkfpYyyPtGsN#hiTQl}DVjAn?o84&;1+-o!K;VWw-uIOEaGpwOWg#*(wFj>J2RLVu*I8i_ z9jfG6!RE0L3hBSez+4uZJ6#^4-|HgU!BtYIj0L*3J0Hc7 zm@gW=zt3Kkczh}oNCgD~TaZ4&jvK*2iMwkEfz^0CjMhHYF|07BF-N-f^c>ZHYw5mq z+Z7Dc=2ILXPf8^MB5KN;;v&MJvJZb8#$M&|MV`JK#peytC|0JsenDmaN<2pexH6TU z%c4*z|GD?J^?)d~bCvC=jGdw!y1R4ST1AvbSoK>S2{-4Q-5;*R_6@4U?C2_1$79m%%9$B;|mA-<9Q! z@iIg3%gTYR=Qgl&kS{8Pe4qtW0v@|kaC;nY)lRX`Ok6u)M{HY^LKmw(R{2^3_Vg<- z3I2#6e6v7pG-vefRfp!=ezG>*_7(}B`TJ4zm6tAS`={eKIUnYGtFA-w=O3FX1x6(y zMaNvLc1xrF&inj5Pq*vBStgP@%>aEv?mZb1QOc=IIfr89);i#UxZ7>S;U<(#YPj|h z0q(`W-xHM^&8cGd4LKE96tXXOER)=?;xJgGw>#o`IEmpyJ|{$wd$b7!U9wJ-i>(0z z0?99}150*xGNG`kUzlJqZAw?aaCDPD|7b+V%+|ZrT~MPkX(s$nf1_R{4}vv5;;uC*rT0V zW}eL}S+U+nlmAJ87`xycQUhrGIsIg#W|ic|#=I7(C=Y|48!#o)5ZpSx=P0)Hj*F3h(9}V*SQPni3uh zBY6zuvGZ9Jn&XwtP7w2equ{T%Nej;?W6|S5?tBY-{nB@}by;M!k0U2dvdBHtoQ7@} zT&O@rZ*tYc?OPWswIvSIy24V>gaNlqBtFxYrxuP$1MIo5wWyyFq7Tyt=D{7z4iVt( zl8p2E6UpXMxpSX|xmH4`ho(O!T-ttf?-!rphTsR1&Dfn?O{Pu=zbIL4j90V9WybBu$PH$cr`)$eKI3u{}m!Be|!)%Tm96we& z>Fl%f70Du`G%T@8=}}gG1)9tlR*w5?jgX--YD%z%`Np@RWBiCBzVhoyPvF917lFQq znnIWvqzL#)#94WzHy5QCr_Cp&$f+shP<`j5i>$|zGy!|;@}Q}mNL%r&^4kI@$?;uC zLMdFKYzy>?@^pip=ZCa)yeiYvkKgu0bzw{%Q%Yy?{O#4pJYNLFV$}Eo@lIGC8T9BT z_9;?|aaFNPKb}?=TyY*Lx=VW;F( zi9#n*U8)djOB@1iFpB!PE}D-5_$@zD^R}&(4o&DJ6CGyD1jB*JyC8IzSQ6neI1y)$ zq>&EY?IECFP}I(Tya`Unq7F{Mf7otR)4n9@$6i)-9rzPwnQkSRXIgx&IkMV% zGsnW4S;>c6aj~L(nxJv&laMZl8;hB4TRRTm&W-5$+CM{o*M@C-tOwgt-A;k_FCr+F z`=AxYMzL!%2f1Ra(@^Nj{V%_2Z~DEaz{2=#95A z52Pqc{7VQi^6{FyTS(RKo0F{7>fyHB#v?WH)fr&oS-0vD_%1xXinaoVjW$I0EXV^# zO7@}6%cAigh%>fAGZ+%%q>F^Is{Z|?qiI`#-Rg{@!YFq2iHWqZ7x1TD!alr4capK6 zfYFqH6?>ig$JNzifHcv1;QQOybJJ7R1T}ST%R`_!ki2u$nf8@np40VEPLfiPEh|3+ z+2s{dI9fumD#s{#j0U5!AQ5dPUYZO6IO_{nwNCm{?pXlpM3Qpc=88(Y;V9h*D{q%_*8J7aBr zxYuROW9H9d_3x7x&{MUJa?SbCD%=~NCzJh^z zPw2<(XU%MxYA?4I`dit>F~Jh0wy(Nr;)#U8KYN@`p z+QRJYvqq4np=zmNTbpHf8p-E2)lJ)3ag*LRI4N_sUQHx|L#_hQ>NXv4F{b@bt6BC< zhgt>gmG$T1PrCPb1(A(agEX2KqX6=XF_QkxXA`Nv$QrZdPVr^}&scY@(arIPsM zsUHlwSQ&8i3(OoxhQFm^5NowfwT5_pO(JfLspNNsyo@sM1Pffc;^FP1dLcAVAuLVPvi=~30}Bna!ABiM^hA?g+!rV=vJ@$m$T#n`6o-z#__vc#EoIEPDM`N z_BNNSk*DwgIe^9VldqKUPg5mkf^MV2>cJgZ4tzJ{r336W>)lbiCcz?XW?D>sc239z z&Fa5S)Jt~7jaVp}ek@WCp94)NAE_g>EpdfER*A#_#9uqjN96-c3`w^+gJMwH)Tl^p&X+bf6-W0k(KaQXFg)U`C5jnK&@x!j zkm+@Fc3ma=p|eI`M2IW(&JXR1&%!JX=QHM0t3*j6-)oaVHGPOb{;6H&d_j-#Qnt(n zoa8!st9D2BwRW?-WeO1b{+9TQ6!KgoUhOCQFs@xZ=cnQlu{{yDU_YWw5&|Ju|5%Q` zsxfUR%N9Grm=-A5kw`*)7Jd`(qFN2qD3ZzjC87js?cr0^kKsDkw>3QMTqN9R^$i3U zw)p<%FRU!MuSD*|G~jsMuf)KCIrU4tcYp6$fS13&UhprjAl#7SJ!11zvo-xdQ=ua^ znx|Bgv%xN#-;xu9j78*SYGSI|>NweL*cmvCjhMBPK{2n(AXKjcC?8H)s`5dtE}9)D zwGtusT*=Kw3=bjc#!-?p4HDs_FG0g=nBNA`ir@uZ?uoDT7El~E_jx8Z9xtISaoU?e>?TzjZXd^oE_|(a4C6`PHdxLA&b-EJ=iHXm11Hm z2f@SXyd#>D+^XNDKo>sTCu=c}iwbB+lpO>idz=eJgCuIdm>Bu@JZcPBnMgOvWc~ja zr8RM%5^8l7>aO#}^T45IQ~JA{g3vSk3|*xX{%UNnxws_a8s;RV_g>7`dH-Kr&bevR z@Issxs;CXD%X$!=wmX7$aaY~H4Uo{mzLwJQ=A;mf6WJJf><%t)$VWTuLn`(t4^xdq zy0q+>?3@4=CY%IFX)mzYQd{Q!W8IGyFMq(UcA>A9)95)Z;(U$EO=}uO#?ox!Zz+xn zM_5z9i+kAL?zv04B8C764*2&w5o2rVd?siPXUV8k=oxBFN7^T6@HV( zoS>SfkqxprHQ{@=#?n~kYI}MFGcizV8cFW^HNlpK2XYH@{~6HYH5ZHIx`{J$>#9sF z!H>%|mcJ@)?tn&ciFIIG!ZBBE8qp@M!22?%=BM=QSN5<~ERzhDPSJ!8sd<1h>_aIRH-WNlcG2rUj;J(IrLR4C=={@p|OL8*(RIS}*yCqm4pOvTLa z7c2*zH&`;<-(vZP`p9Y__Dv&OwpY5_7LtU!H;sc^;-ZiU^t z{|a=c0JPg~KOVXW1MbK1%rOiHN@XGhsImCA|Hk*SLoQx*QfUfJb^V6BqM|j#w5bQ- z7`y*DK-vHB1pAjZ(rhJtlXVptWxawj>q8$#ZO*k) zR>5rNaCCpP9@Fqu%p)Hrpgv;63a@=hRj$bw{q%3)Loo|)w)CH(FSEn-6UQ2<&r!fc z*!^buejCt2>tE+DP2cTK5>lrS>$FIMY^!m zKfjo>^rpYELw}}trYf*>1a0A-d5PMI`b``YO6D5u1bma`<_R{Ia$kb~8U}x6-bV#c zl}d5Q_(37)mZyV?zMIdVSt0TF<1eAqom>2IWjB}+DA&#$4N!;Pl{r^#EiHxJr$-LB zh-HNL!UMJAzS2;#!pv*<6b7?ZA^!a2RFshqBtgS_EHVnXq^Nd(zZhYbr{x{D37y-X zIFJj~?ELZLAljz3gSK`b%-ynU^vII(XyPTIA2)|tkzL&4p|koORaGtRYvytLZ_bH2 ztij^)ah7fqnc-w0N+=_uV*<+cKLhWsGZJ1E4LM;QAcSl6@N=?# zuu3ns^SNG+ukH@O)k)E+kX&skzYLIH-a_HpX7~MU6{=Lf_@z1VH0p4JuErq0xm8XY zFOQ%~UA7(4piD=LhvN%S zoQ5S5g<`(U(}<|OV+VLAsgZ6?J2%m^`;RQ{L_4WJ{6s?i1LHEX1jGL6;)yA=PB2zC zI*+GneEO104U%*Ja;3`-1QU12p1bJzavW|wIXDuHlUYjofqMN$)_&y-k*FkA=m%E3 z&uMIVqq5X_Y1@+u69<*viE|%jWZx%%!EZrye@@D;5ilJ@!DYmro^LD}3&9Nso1FRn zP1o9ll+OR+iqjG}Kko)|#euDU;3%|)+waycV#`3}Esa2v#VhDkWrz7I*ivW4lGDPx ze>6N7>{-N_j^!&NN!~8XrRyy2{%bnT#OceO0RtqZyvSL03+EOw;u7&6$*52$m{2rxF9Rh29*DG!oC}K#8TC*HnI?WNXogg zevMDTMT#SWjklNFh*Lw$j0pTB(|uU7k4^~Nxz@DKiTJ_I1*uh7ZC1^6J>6^I!;MoV zkeEf{q;PG)-{fX8nHWl*jFw4CGFTNns$7Dv}fyib(1kIxk^=oqMHtk{yJUWw``~ja~&w? zMIaGsXi;wm<6&j^RNenydv6^O_0s*1lakVsf;1AMfP}Pwl!yo@N=S>OfFOvVba!`m zFI~F}?6OPj(%k~07#Nrc`kO_)eedV<+~@iHzRw?bh|9niwn)TKO(x|yLe=sZ4_XBI#NBb|S&-7n5 z=UaF!47_@;STtgbp0Uby&X~v@dCwlAFL3FE!~DnES)mF{pE+zxA_mJXac`js$#%j; zB3;wx_3)z)ad=YIkJ?3-m^&{ovt1?$Skmfu7Q6S-_jS{od zQ{AayLAI1Oe?|$3IJ}Y6?HvA_p#f8mTdg+OKb)2Jv~S1g?x`iB`5KWt4^B3AUgZyi zK}^h4)GqfB3axacg>+ri)LWEoMc>5R@=XyCZ7X~oiv=lh1Bn;s`k(08WC~5 zg%G=wD0?BH=CTpD*Q(l;uXx8d;+~zRPT{|)JPGeH(joGt>cAgj7G%_>qqvYrY^so#*vM=H)_J+!+uuVd;4@2bD*B9>Inh<{SHBVwiASHECdl|(89b?e5 z;Bmbq{H&?Tfr^r_Qb?apJoxllVAa`AbJ$3W?vbXd?i8aLt2xeR0yEWdb_h)JMO_b3 zp1r+`US;a7721m>6=7cU%-4+1Ac%Vt=SwTJbxT{zQZ5BLQXD$wjUE-U9|&3{DH3>F zXtLmY^g|LaQ|q+LQtsiSmze5r9CseV4=k8wiM1=X{G`pR5h^c5qn{dNvUPjMUZ-fJ z?D*}&8)qt-p52w9*F4M{tFaw!{615&^}Tsyo`e+gfu~ucEWc7uqIIzlYVt+4hqLn|;3Uu9-4tUh7ym~%C{?-NLJ?bKeO1E&zWqj6be{$y@un^$8<_%8o*@l?V4i28?7{b3f% zuJLCaPBODW#r9L|u6W4mAhvX^J0h&)ndbsiFpg4Lm$ii#7hsgH;*ZEPI>%BmS}s(J zCrQ1Q?ypbLurMo_rQqcoV_csQfJc+@m#Ju|JzXEGY1S~Db1Z$`%Y#0VzVRgL!8Sh3 zuP-*PXvpN*?4^e@2GdR&VP~={N8mcn4$9QF2;n?#$q&GVD0epR|kDHQL{t3R$X7a|i*b2=_lO$jWU#mx>Cxn zrXrfKk;+JXlc(doQ%u()x0YldR%?NXO$@u!)-2Ovu4&{O8v8iamivCVdhyz+UZ73X{JPoC(1t2g)1sprLG40XvivFi*$Y_|=N&IM z6-G{o<+IyRmjMAX*qdnlS^RFIBX=KKEi4cnYMyI8VI6lhi|E`tS3iPsO|<3?AwF@? zbH*btC;T#H?d9JM7@Te9;A%h&rRu%DkIfqS!tjWRf-tnUahgWi?6`~qbMh)ljk_mi0)yzsS0s$)v^|e&&>! zGQ>wMQuRuy_sH|er%CyP9TG3+Y1htAZJb&>F5@c4vPd=f=)_k@E479o1Q98?Ib;0p z!Sl@Ft9Ax-ATh@?g|SkJ>fRbY z;-dF2223-AW?i2phtw+3SO{7#7~r$F7wheogle<4bFbF)Z-_JuaE4MR2fZ>@hp`bG zwyNv*Lx^eDpLy(s#Mr*}{IGH%9Z?Jo)+e8yF;vDTJ%m6mAgT?%SfmZ;(_u$n+U7GzelDHE_nx7~x1YgKTv@p#V3R^Ny@xlkfR@-?+r>Ix%Fglb& zo?f0RJQ9p5IL~ZJ>#1kR9E3-3IAaFZqvW_NS>1u(#z;(&WwWybEiw_PgTB7ZJK4D zvHA9nO${~@odix;{BtLAd!#j^0pZH$H2 zC*6B`|BJ!8@x#Yktkdv33m6)<4b(|dTI+GOApxmmhlByoLbbQJ=9u8UKsIcmp479NSE2=c5UxcKH)q^F?yNV9SiZLeuG)R(>bYoh&O^3kOT9ja7W zjA-}Sni>N_YAg2hAD$66Wd{*nVz60rfFX2RE*dZ>Qp}lJ!45M~owc|`vN%f~m1D5G zA7;<}S?y5Y$6G{eyO=>U zkM+KxaewG74bu(I{lM>uJdDkLpA$qve*Yp;RQnp+21i$Zi?e{7uC!@Tu&-CFqOzO zBOc{+5!u=oU(G<~)B2;5rkk?@!(Q@>)XlqXC97`8ovoKRq4uKETTDMcgNKO9mWhM< zRK!ISzGwHLP7PlQo%*+!*{-t^_3qtxbWG&lWx-qQ92P7Lk=YDS)UMi5=G)hW2Z96)F#1NqK0p|77>_mbP2wcDmCiKK&q)e%9D=^3~YH6>;cLcUHIZtPWd& z+ASgeSlObmDq`ZMqZb$+%#BG!!uLLeUo7C;E#YFtr?PK;*R41Bv%CGJ!Rfr^jyb z)+o}a&g54KeA#AFh7+8Ks*M1rKv=&Tlr(z#`rI-(awRBh!;8(Uab1jQ$1_{` zRhyS4t24-h+HOj(8eoXt+MJqu8~!kn{xj<(A4z#%ksgg;*Qdl2QP&@81PQp|hXq?a zz+OJY>=xT!OrZ2)Bq8wT>CdakwE8)r546ddN{G>S(u(+ecfx7TlD<}U)-y0RK0|{& zryP!?j0@#@?BJr@_+_-Y^WK%}J)i5O#nU~-x-`zV!w*(5X5lgVc2QMLUWOuiliQ~X zpu3*)XLarcxYy)FXO+3sY05WZLzEs5_WM;gem-p4_v~fX_SaUGTs(}zG8={$dTg*x zV53?Ed91QrZklq{*I00tphe-y$rI~*F`HUQ(_7poQo=&zaY4H z`ue;1!vV{8`AsG2HY5WWYL)6IshvwzQ$F=-OwK-kcWqx!;o_5rnQ6U*;wkuwBMXK~ z!{J#x^I4Si@Wm8%=i=4^ZOGt_gZi&Njp4XqTgNRH1kC#Y$x=rl@9sfZID zefoh$mzDLzX=2{-N6&VM2-fBU`-KCjL(hI59h{h;;r2;C-vPO-|0TkU16jD52sO2C zQGQ!z^VzdwwATEQLG|ZzvE%dxccMcb#nyw^AnG$_Pp)^qd6Bn+Wo^qY$LvcdNoa7; z`;Xp9J5=m>G8`d$QoJvi#f^icj*q|% zPHvoYe_HvzDSEoOL#ouWb*O@EK%4L`rPB$ybk~kt?KL=!3aHPj9@Lp9k9!x@3Ih!L9YiS&fg6nR8RWP>uTu5Q}4;WPJM6 z{AJtff<~-SlEmREzx$2ipP18b<#Ml2F0FOx`W@x*_|)CJpIC7P&EZ4-LX{~b!)pBf zz&RU6Q^vCp2N|*!79nWYvGq^4^hAuD9Sn~@NtH$DASC0TN_$oa06Y+#c+J&E#?$xwb`w2EsojFaINn_}CQ|@i5V1-z%%w&)nub^H5T~};W z8*QvCJq3>$ggK3==v1p}E0<^e(u>uOQ0WP)S9Uud1l4wGXU&QkTD(2dADKKa_q=@Z zlAh6(3ld~wK8Hh}w)~eB*8j3n+t}9L4()31Y;S99s3|YbPK^(H;9#i8L%Y!uChpz% z(YkSZpZTPUzSZr(h}eY00c+NFDks z7!(>B=MjlbQ4FfZe zww|sGmU~hKsMhDiHvLPlzgrv`OJ_s6=) z&7BYLw&qaPF{W&T8a#@%y1G0WUpZ9uO$_BZo@Slw7c8Ym@Oz}BN1M=o`D~ofR1htX zDkHs`mXqnp<&nYPhAvV&-u&e-EYwyH{Sv-1P@iVegBJ5;OI^(oH-ytIkYNL=>=N!Apu+Ps# zaI+%UFBXxdc^|KUT+KhJFh9XviFW4$yGdgE)W!-b=ThH93x~c(U`S|KkdK?SjeS5$ zRp0XVySI;K`=QMpT^*2QZU46WsJDc#>t#RtEYb6Fk`H@7G#E%c7Cp@%Z{Zsn5pvi1 zyp)ijVzpz6)PTM<3At2$KaSzRhj0-*F_UhGgrV$MQY%m zK2Ci#xqW=LuO!gWEcv0JU3_tMY3f~NQn=sguhkzVzAAa$5(^K~&1KvYsuuSgkKS!fBD zYwob*&X}hxu)4z1>ru1ok5*^LFayZ0`uzAn567F<*EGc0smLfURXvm3;jLWWUgcL?z<$ThVUr^Q9P!g^8fuq-m-(o;JwR2>+EkSLDUtvM7 z_$B#b5<$i$8Tp&u+{~5@V)9*N)D^pu7p&sa0{b3Mslw2B^sMxsJMDVd^0z6N1(nSM z*WVD3QIdY$ezfuA#rD?f?8Mmk_%N!yGAA{?pdK;zihzuQ1nC&oof@M3vl00t>c@IKFpxAB2V-a0TYEju$Y#Oac}Fw>`wQ2)-O&RGyh zUa*PgRsYoDl8kT<3q3hbsv~mFf!A6FvOlqK(kuofWC-b--wH2iADTHt%fZV@N4T?t zM@mIY&%ngOc9fligY5_|i7+klr zx4x<+dxDFJnq+Si1IbCvZ=HDdaewdg=iT>jUcKIV^K`zizPPM;V0w0>r=_8xxv45E zGC01XvoS`VP9>$ifMy^A)qHPtf-SVFrM9FR^?09v;0WJIVKxe4YAy){B?WoKv&!;P z5~rn3iyr6YJuY(cl$fNfl9J2`KK@g3;K>;+GkbfBYgeyakP{VEG_bP1c3$DMsECjN z7bEGbN%ZJ81sfL!6AdLfIXMM6>7hepR5XW4i3spMz59qyLPqpvsxj$7a1nY8;&t{u ze5KUUvO+Jt{tGD)5h=;nmoLANkdu;&%ba8*BV#|KXMF97;T2<(YX&-6TAHfzvWgnI zdKY!HwX`ni8|q)s(lInMyP|LG^dLASG(5!Z!b!n17fnpBTvV4k$-_oZj=!@$HMWA! zC?LYeOuqMM0y{o8Kf6K9EvK#`eS(*bo{oi!i++C&jp&9UutSgtkAkPJc;pFb_;&9W}%F5=3)phe5P7XGf);ArU93AW( z?7^v%$8CE{8&}_e;Ls4i8<($G+1p&zH@I|8oRfi)7;kU)!~1U1r_f7ZQ@M8_2r$RbsN2J*^L^xw+XmPbsO$%bbxv zBPl7bf9<*zK;n7Z&BHg~fsb!MP+&knpub;0SaeiGM0iL*Kv0nXJs%%0cSoyh2Kq+k zcJ_9*H*8EVo!8bLj=Ustel+O$3-P%l+J0KQ`5R+sH?7~Wp3-_=@$?f z92^)B93B}RmzbQAo|zUOlayOjkei#68XFlA;^%nvf|0wwo1vD0rK4A1ke`RUtEHA0 zzmT-rc^x%reinKf8fq#U21Z6^PGL#eGqNh@^$d;843$oul2KH@V(0AW?B(n2WPV9i z`s8sg4t6#+E|Jrx_<4n;6qHrYX=>?Qx_aHx+RDPz=<>BYK7K)waS3tJ5s~q!=^0tM z1?7<{B*R(n5&w6@W-S7|g4@(6gV-gZVZB-@DsAy^`O9*gr za)esQA?6nCR5};n}k zp`l}FWMpD)Zf;|L!`jZ#*1{z$H7g?{J3ThU|K436FNbUTSM5A~{ey!%EG=&NhlGZN zgn+>b1ZooCd&eg>Cc@9jJEho1dFon8EZ7Vo_bqRT&Wvtj=oQ zPfSRK^fu?`6c!eiR+?8wR3Q=cXD%c^|<44 zFES%HJuW`K4pLoSm=>Ry6dw~49&pz`IyEIGCNA=UPjFmXW_n6eQbK%OOmt*;L{v;h zYH~tKQ9G))2?FgyAP}AH=-HK(<;A77jn$>q<)QlWRur-+CoZ+D89q3IXlaADmX(y} zXJluD*cx5Ee$(0U<_#NbYb$eeD|=T@PcL78|DceNpg@2B!26yL;&O`ek|Pt#+dG@9 z3v&vJiwX;}k`t11N{X{HGSd=Ma*E33ru9T^cB8V~|zMMYg%dS*ScuLDw3U0qXMnx9`>QdC-9U*Aw) z18He(X{xWSE-Na`&(6w7j0}rzM4)&%gfEp%P+{w z&PYp&i-`>Jk1no*KoQj`MW`t(vb(djsivg7sjIWO1%~WHp%A^j-SDo~riPlT^5Vk$ ztgPIeg7Hyw9~wP4_vGp3+Ej06|H@-bP20@k*!w0IsR2p}wxJwx+7GqP)DUBtI)XB|a|7FR-|)3xVk< zteJYTF)@VhZLcnG=^q^#9v&IS3=IwRTq0;hEX# z*}3`UXT-FGn8u;y5kzl&ZiYX57>}Q-1YhLTE~Qjxd2Q>!M9G$ItQoT6Ht(UTAi7mot+#V8W@@XNXT+WO;e(_4AFz*}2vCWDIPSi-S{Z`viN$hhD<(zPo(fvzzek2M<_J zL;utOW`5=2^1?EhfpfDn(=*f4Qg#?fQBA^dth1uz8$v}ldLvrT`cE+Zk zzkB;^d2W7cY;I*`WodqXZf0_P3;+TG>g|R>JDQpy#kJTiJPHP?L-=3by?nEe_wn85 zuU~d{2*{4GQW72d`r#`nHR0C7iN-5V z?whS0ygdRk5)umh4|qr-Ur5Ocd)# zH442+M0Igjo`A-a3IyF2^e9wH$n zCR$y8zPkAA+1fmIbZu>_e`SAZj_A!wV8Zmmd*E<56b^@V_x7TO21lkARu)F9Guxo;6RYcM z%Zrl}xTyfDgK01b0D;vTfkF*G+IswSeGP>kfOiiL^mmt5_CkBxs-~x*bDJx}2+Yv< z=8S}Ip%E-*7=sozHGr5}oB$iL zaV&Orq)kT#JEl_w{eOYd4Q&UZ4b5DDQ z)$J14&;W4BFk=&wQ(ypw#%CwTL7ASN9vcIeZ+;9lwG0#ps3b5yxGBE`3T}!4+XxVi z0X#sDfS^VJ7O;{W6jc8Z1`H&22!=!!<+elH+j~a=@^LW5utP(b!J(o4p+RU(d0k6) zUvFzkW>G_PT@{EWl|&_XPmlH^(HQK=*!bkcbA+aTbj9_{bot53GEc z?$VBFV3GlzB>)7B7WkP1WA;s6Xiz{!U`AV-TUvqB($La@M8jGe zbF-^sV>-KGC`2CsGz>IgbbK6#2k7Pq8jivab|VMc;A6v>{@$*hk@?ky88BWrOmnzz zFzJEK9mOq5KqWB!1E8ngUN~-jh16746qghi=VugTlwuJ*Xjor&4;nc%IyW&mgzUxn z20)B0O^|v>Wp#B`Wp&T!0CK3ip(;M3qoWfF1$Jy;5Q|fMpxBsUuvm@__aV?&?C2O8 zGY-srPi=W+BX(wddhTF;0c~13SjY|r42vBe9v%XQXaJ2w!l7MlZOx64x~j^u;)0~K zjN&0Qd=Po~!+Q}( zR9_zojYba)VX;6|APU`4)`A5ZGlNqxAf3f|93Zd?0CD0bI~Ft8 z58!~cptG~9wWY4QvaF<_FgYc(=df+Hjlh@#AG5W&slKMNq98lB zsHn86z6E$uIjK1f@Q(KOwvH|+48ZQ`2C$Im0i2!1d0jw>`cVV@m@(jhO-%K{(PLl+ zP6Eq33vBQlPK##2vN{e77tZz!0^bG!W>-gNYhzi44Md@kjDS1`7X@y{L)3b9cn>%|t8-SH;Yj4F(2rvQRK%M%5 zfxt}yps1LkvFVY11R4X@ax@rAoO+Fc$q0}MixdVrdOV?549BJHbOhwfSU_+zPzL`H#;FNHZ-j|FS7`2ICAp~ zD(YaUy5jn#`i6#vrpD%0fUCWu3l3J`9^e#oLc5WJz{lx?B1eYWI(oVh$UfY39l&4) zf&K#z6pSp8Bo?>O1E;#X3);~FT;uBU(!A`nq?pL)(CApbk>!Z-h1s=@l`&XjQBhkv z@D1z0NRi!S24Lr8X-rGCVc|z%QySF9*}JrlzL0whq$R z($?1A36KHx#MxvR&b2ZFo#l~6-^D3I^>#9pj z@_}qJlT#96qC$f1dxZMmiAhY(%BgOHG`8g?l$7V@=jP;QWoD$MCMN?OOiD^gNlj1B zF3L?#PK*q3HF5Nhh>na+2m3#Ow-`VzDJ`$4tf;K2sjGuDKpGkw!C*JHv@`}Dq zLW&zIYa1#`N(*yyGSgBL6XRoJqCiY41jOjVBBG)blY?%!-f^)jT zb8B)=d#Ej=MVCOjfEBrMqX&Rs7TXEQY&N2}9@*)_#rpbBx@-K50WsPK>= z5HbV7r(3S>9$r2mHsYwRc}ZJYQt^uQ4NFT)6Q9Jy*!Z~k#DoN#48d+9E-p4MHWnP> z6OwQeP0PptQqD*RdJz%i=WcIhWvk~LIM1jZekV4{#Va0|>;e$ch>ZhmgTUMafB)OJ zoL!ymEVYCLkMp?{mu7*DWjdf784(s7;Co`St7O<`&j=PM-cZrT9)Os-BgX zS5#2Fa!FD*7;p`w7ZMr@!Z^V}fkA+%|9#(ke*OW0K?nE4qN1at!^6V@1Mb?pI9xU} zRSC$J5o#$^!IeZEqyRB6d9{J2^2W4m1x9 z4)6zH9Bi$wUDnspQdig1&^&+9(Cns>n4q$uxw(O|5T}@;5Vv8V|DAh&e)oO6z3zB> zd)#tzbac33WeH+0);4xGL2+<&@dT3fxZ~yI;%H`i<-DHK8DkF3fwM9S7vv0Ydxu2? zgFy%aaVq!Q?vC~#nyPpH{CN<+yLQFuepFm^WOPJuaL@x^4`(NP8*?MQ^BQW3XU@n- z%Sg${DXM7cUDVVzG%+(W(2+ha$bxs&#MRQ;!PeIPhK&s_`e&$r@uKc|O?B0?Dk|sH z)wQ&>bS{AOn922PMn?LVbhR{qR3&88*PHU$nYm61pEJJ!-U7Vq;pAdxX<=$&YGPzy zct!k#$O$nSB~1e}YdZ&*+a7KnUak%fHrGwB8t7fnI;SirdFq6qfPjFYu&}7OjIxH7 zx|)iDlDdlQ>0>m)x_TF`7-$<@RhN|0*3(i^l0PGJT1-^vxS){8sZ%G#B_yO}WI%{r zMOp5QjFgzTqzFGBy8us7WjgU^0!DT*ErV-DSFT;YsH>%-2%_-{3R2>dl%%BOR7Z~T zibzN)sGrx;(A3gY2mf(TOY7WOC0QvkAwKS7Y%I*U!g7@37$-L`pMa1Mh!n~zh>1uk zoH-+VMnz9k@Cf^91xZms9uAJ9tYC9{gr1Ipk(uo%8%TH@7Zwr{;^R8TaTJ7w8R!nP zkX^sPhWndq^K}27uQi1c6Mf_BQ(^#@V=qp>GkKk#1xc=4<80CXpb;6 zvvKoqak2vt3^bG^AmG3M6%U{I5Gf@M4J|z#Jrgq%hoHdGqXMEpbfV&1hrUp8@bhx8 zu`<%p93~?nCcq~kBt8VTcci3bl+<(#475~$$|0h?uY?~yP(E&9BC31-Xnq-wo|cr1 zjF6D%^Xr{QQ}ZhmV3Fx_y5V%kHv(9;qVnpNo?fujwm|CJvC9vaW+$iSr!nZho*uB_ zheBaUbpP1W+LN949|=eg_V}#FI6;t~lXY+MB^5mt6%7>`5dr?*&i2;E`o^Qp$D5na zwzs!mJb$tC_W9Fi8%xXclT)LJ={K2Smuw;E%G#c(XWMH_i(~!Bmhys3U^8OE1HIi* zv#$wv-;y%22`XK(a&xt^xanYJ>lqXt6&c`g^R}ClXJB}2Vq8?XzgIw1LS}JAU1uL= zdUf;pN20^@bTrh5DJaOkzW?%hbMe`y_b;Drt}aZE0oM??a>Kv}0?zRe*ys)Qb+t6L zv_fhi4eeu{`O&G5k}@L->MNUi8Z#5)Lp*J?MY*||N%o$>v#PGQr5%I3&&8*r6;aai zDaS0#jZJRt;~zS5jPVd52{GR8+t0X|3^Cs8r;neL3TvC*3Qh!G39Jt@v$6gD^XHGB zzkJ$WpB2!S|TQzk1r@CY!e^|SWRw5 zxLg@3TaVPgyec;}@|K~F>UrP%o=r;rGa4rDf#LBvRk$^(v!|z{u@*Q1bq$cp!knzM zgs8B<`wxPEos5Wy3JZ@0|HbFNhoi$yGb1aj^Or(n`BKZ~j0{eSpOqD1``i&P#z7*c zbXAAR(cpIw@xz zdWR!CzOhQcJ|Y{WIM=ob*`)Pu_=d;EC!}O%rN%|YB&HE%sRM0AIVNT_HzHN3)2 zL0I456bU-{hJpYK$qE!cwK~?2=z2l=gjz^1A(zZqNruVHh=k&v$9Q-zmj<%nYK zMvqWnQd3%184VLVpVFQH`59fqi;5@s1-Oq8taXI2K_HKJpVF9Rw)Rhq!^)9uw`(D6}-p)W}4I9-rmRS=rNkyD_w7)Ap0Q6AARC z#xKA}JMj6hL^VIAJ}$3qU<5LOX7+c((yHNun-7=fXD5cb>#`&6SQ)5_^Ye%(=-YV( z1P0u{=Nk|fmzGmlTv}FMUQv=6Y9`6S#6a=o*^?J9))$`;9$`PqNJmZjvMXHu7$duo zxY$VpvuBQ1sCvs7jVdYW>lPM($)m-~C z=KisnMU}Pn^}z8&4vo#OKHfS+xWBXYaDHmIue~}yB`P>DI5H_41o@jfdqCt0+Sbwr z?dbsl+0M@9@-(oxg#-rxl&Kk6`BiO*fx&)6XKh|wpr?z2t(k$Q%GqtMtTUQSPfkclkJl@$O zAU^cv?bgy53f9_CU7Vd93sNl6Nx8M%V=Ir==Z2t-we@YtvBiz2uRiSUzkf1^LBKj% zTj8UdyM#n|@1AX}ZEU@Kx4ZY{D<0ndhnJ6+r$+{my*&u@Ac(d0v^P{&fNgSdc4Eja zLq)MuvRYRyt{bQ;oxA28ot~GUUj+Uz!2k#qO)RWGdH(ACKH(u!(nExeU@Kc%n3D$b zBFUMBm5|o%;YS4Y+(LrKs6H%=Og$%NR$8=0kOj=e} zM(VWqDN$hoZZ>+#L-?QHzj^)U-KTxLuY2#dw>CF7Hx@_Wkjk32{^`}Vm4$`1SNLQ! z^mJ5Y1Ru9I*Vi|nz64?C^ZM5;?3`}haslbW+urv<_BPP}uImjGJ$1!1(lT;NYT6es zo7%c~gRB;C0&xXo^B(xzx$WxWc*9Ij=>#h|-X0+p`w2NUEzNUEvZqf83vjU=p&~m( z1QuYBh$kV!`}pel(-&`c@dyYB@IHV12nKk6_v6QXLJE3T_M=QxMDL!gKmA0)z$GH3 zsOIeK;_B|{eb?tM@bT_=ffMgLZjLtBf%|ju;w3{Plj~M?PVN9`aA;UKC}E+&Ao~pP z+;Xrs)>S%rjFyCuh=P$!Oq6o3YUks2dP$1Zy#UWb6gEyA1@C#7Y93Qb7R8`=j6rs*=WI{PE1aJOjue~ z$H3^?Rl|!~D)N#ih4{HS*jN}D=xAtY=opxRO7QaX9Ajkwaw9%OPQ!GJ@3^1<7Yh~P ztCh)##h1iPLJAkbrp3q4+1bg_{-&Ls-A#K3C+AykAkzz^ub_yi=m{YK9u5}ZIDv3K zkP9s%5QXqbF<_oV1i0Cm>48sxd!K@Wf}D)>TMcF|AxULzLsRhffirk7;fAfP4JfuZ z?12C6e9P6%{k8`vw{N?ez(mX3jmm4jPAL`+&i zRa4gh4gmdp<>~2p2dLM#a_2x!t}aesKVWTn z-Sisp>zj-Y#sSC4w+Eo9vXYX*!C?Ic51{$W zzW(a`n~nQzjh}HV0%-t||G1&3*mZ;7>dJ_WXZ%{1^QE1srANgE50E z{)YSC^8EL%4~YIr)9+7yi%kij0g^dr^cSuFgy>)2{w18B`u$ClU*iD~;9#Ksn(W_x z`b#`Ni2Sy%Z+L!a>wjJ*|2p{Z1NW~t{HMh~68J{~|488fcL{*4(J%YNnN%ol_5F8& z{EF&d5&I1Qkec}&pg&p*{)*&po_(YDzXXKaEB>nePdC6z&A2Du!2CM``d=c!p}=+i z9nX(e-)`Zqev9;95Xs-H`ZF4wEWTZR$8!MaZ<77H&AxU0z4doIKOO!q(ZApBha_-s zzaJEE_(@EEpX}dm`HRu|6^-90_}`}gPs4vC@Q(!kk-$F^_(uZ&NZ|iY0{@P$`G14z z-`*YkhhhD<;Zgbz^Y`zPQ~Y-c{Ab($w<+{Lc>Z#HmH*Fzynos4pFYIl`EQ!>$}n6^ z;7{NlgbV)S`L||&+Whga=1c{(Jx54!DfikMdLU z6?|;_AgzqcIR2vGlC?ij{Z-!Yf54}7keobVSMf)l_a_YBGO9mioqvV(dw%@;y>H23 zaB+|(J;=}=fcs7F-}?FS@F(~`pL|QEDtzbkm-6_Y-u({g2d3ZF_|-MI_%&o4zVDsm z5Q1bgxbsJqa0%xFCcbCpzmfgX_rG!cf$y)__$?2=X5+7*fREYypOrsA^;b~9i{F16 z&2L)%Z92b@1t9q+c)mUPCb;kC|Jnh^=#TP0O8?h2|Fw?(rP@D`{JBQ_9`nD{!Jk$B zr8xem&Uau3kA62mKkofe!~ZAua0vgObo_^%ev{W9KKh$C|ML|8CXnAZJAn54+yC78 z&q?6_1AO62&v;(Un{_)Riu=a3)y)|(nw5hQtDDu$>SlG1)y>h(Y9qh8S>3E|j&4?u zK8)daUdHc!1$;!Mb3Lo8|G#2K(T6&&KKbQPWvcZ^8BNwaSP6+fKLQmwLQC0c zF2Je5dj{zv069*Z-Kd6}8$dpu)G{}75y`+Y;8x5&J6qnLLyV4U?TCpij;QA;8qmoG z6>jzTPW2qIHKp=5$!s~PKpnq})QW&PQmr^s*|YWWv}<4Otgj@8hFGYsS|5foD!o|M z56q0jZac~@bd)Gq?ETd2Z2`9WqN3I>q$lw$s?FEml;J8x^%^7VZG5_la11sw5fNp= zbHTxv#uWTcCKoRyBlOzK3`_+r8I@o+sf9$Ol4E2=i`2Elkjb1)T0bu(91x~WoyuMB95!F5t4}=byB8}1 zGb{JNTQeZy!n5(^619erl3t&O%eC-!p*(uoHA%!Se>93V%Hr>GyfqCmq;71u_|Hw; z9HlQ2T#3BZWwXu~kl?uNZ8;qD_+mKN?!rb^tizxqY0g1}AGDZcv3$8_fm~fQ)IwA7 zay@r(_Uo`fv>cHz|7URs&(!px(Fxs(t=Th=CE0{VGHp$i43)erAzFD*#+M8E=wp zK8c)IVO4@HB&MFm)7mN(*Es6E6znl}wHNHZ8m4`z;!&0D9hOL~$O<#_l3!MvcwY-w zK4h#GmK`g63$5!Og#eOZCqnxeKWndGw~j*|Kb+)6d1;KX_v| z6Q@}fVs@k2HBsY*yWT)@cpMywt1@hKX9Papv^>#8e}r^%bVccNu44&fakspiJ>LU-53@56txRS>OGRd z?Vy`O%wxyN!mGn+g-Mjh`C}PiDq_-wyOBaLC6gT;P4K8<(v>}>Q>6nj*W{pNi#Kps zIbtsgO)!Y5aT0s;ngO|4u{ar<$WXNEV;~8D-qqOVu)O9(`n;Gl*zn28;m07FYhVRF zsa+;^Xt?1!-|zW}K{h`K!Nln9;bi55K|RDI zEee}y;f?csh)!Va4mD5FbVpQ6&xksU9aq{bksshP2N2LQv5aOLlMrB;H<-x_bQ$S> zQO?t(KMoGY6%LRT61Nou5j&J0p_JQv@2pK~ zT+^itwHt}J)7>yrQ&YRSuhGigs7dKo<)f7AkWNBYFVcSqn#f}5(E_Tufo;SWwWxOa zO(}_hv3f1$tl3NftrG-Pxw5-t)GB7w7Y(6y`1l_5fkH$R7jeo+kyYZ&fuSRWRyZer zxHyI7P-`fwfm1S6n-5~idV(&=wH?UHSaNwKO>som90!>-C`GJ!6ZiM}yIotXbcIfV zXpuslMmJ{iffz1<{=57b&HLVyV$|&@;T-JbJOTU|^1tF|Wk0E8|+j zzSe`wRmsq=52fLZ)X>dZP?j$HF{dBl@SxVB^XQFw6m&H&vBCRoscOwbM4qCqC_8Sj z)EeA&28i?`B}=t^D3p0p)47B@rA|8EZxRK zRqA!7ai25<`B5J7u^x+J!(#pRPEW5hYP4y``KC{=j#<9^K2yhZh=(hUNH>2Dwfnrz z&GvYQzuR29{5?s0k6b>C)fkjoAMm^z!z4eVB303=v0I%~VeP6S7P?6}X zG0?z(trDn+oM3R)xs6z&VatSvy48=p;i8v!O zJ;9a2xPZJn)p18aiW^5D$6)^wWxwXT;X>OFxjty;?$u@AJh|mY-yI zTTh&Kjch^e2Zd9;(*?*;FN9cz@NDOeRM7`pO;-o4Z4|i{rs;xtRSgiX1ceXc1>!4( z4^Zvuy@hs^(ql7yBjs%nuuFD5)8X(_DHk(ufSs&iMZMU9f*S$rEQgcMg(;y%HgT(qF;W~o?gUt zBa<`Lo@q{8Oj<{)Jt6&->e`F)PJ41m&W`WUne`}Rcx7&**pBIvj*v$J6S6YAbKa|S zR$0^VC2DyD!D(u#OwY6$b~FAco4*;SE4thQU|-(TS#`T==THefLLx-6sRStGG1bEP z=g$x(`Qcr~b9p*tD-57|v@i_uhnAg6=9U{}%GnqCJx3q=8V7mN87qlsS-&uc!vToI zmWHq{Ppk(i_#LUaUZU}1kl3wbXtyPi*y-bJHD|Dq0V?o z^eIL*Yyof4nxKcsXg;kU=V+cq zR?ZhaP)bRsXXnlGvl)b16yP!X)fExi^Ay2Ttogdb7X8$8RA=1jjS9o*heh1ergEye zs&598eKh__G1Sj9B$Qb#;In&eZPr`j)k>YxfWCs>D#k(P{G!zg=>V*v9Rb9ptW#OL z_R8)(TLJ}hH$LG5`d0C(UKWo^w)7A-Sgd+TtE<G|Pj74O zb92y|$zn*D5_Wb`=isy#Bx?HL>(qcJD?2OV%Q{O;bth&L+F*|CCt+!qG_KD&d19Es zLJ?t(YoVi3&S}Ivgm{H9 z;~fzodE%3xj=yB){~?B6;N2n1(;O}>?G@AP;?*`RP~$Jmjolu{8gr|JiM}9OlYeYt zRFgZ#Oy_4_|=Vzl`rvZUN(nX@}>vG zjgH*%6e^C^hS7mb2>=~{b8$Fq%W0;}^NK5~uaDv2d^V$6#fJDyBxt6amOc|PMf0Q? zmSe+x$|I}evT1sS#u0pMml2gVGev$^PzCKn2~t|92hng?`>0c$?=$KhX?SC;D1mGn zUF=`7K^-+DG&jTIv2wdN$V+X*FN(c@ZU1(6n*OCU-(0inDyY5SU=Kc5+^dC~_X?0m zR(T7M&xt;PC+Ae^enZW@g_!a*r8-?yvl$#WDW+z~9>~r%T%NgD&-0nEAtA~qsZ*Tr zoYXJwZQ;{elI>T2`>2UYr=7i9JibOH*7s~XOQ*|OBJjqO&!IFjxfxt0t$pm5W#RV_ z*pOkmQVkb1m)z&%(an8x>>Y2>2Zd-p9EG#d?xCPn5J74U+TyWj{R1O1Uv0fd%wV2+ zXG;f>anm74eC9C)GJ1OWz8{t!}vKZut}-60);+q^P_`8n)(;~9qO zn96|3^82MtOpC(ZLn8i;qQlPiWYgZ?T0Zd%lva39X}eKe{$LM8bvx&BUdlhqHcbZ4 zl5WzMM)AB=50sGDsW71kRxAmNQ!^XuvRaIwkx2>_8g%$%smcunQR1sJ*|Xm@h()mq zV@39+&~T1uKlZ+aVTakhtzOWyR$-HtZXU`{JjC6FaFJ^iQDX&cUQm{wk)~izr$A-w z5GxZp7TO&`9ggwm(^P9>8S#rkxsa?wUk~q41>YU(T9A78;!^WL8cI>Aq&mGB(|Yk3 z0%u-sM%w~d^ujFf^vb#_RusjSO1Cl6dp{)G!NMovFi5+GUWLNUoPUbBT!3mWFe<{E z-0pR`N;Btyv>4oz_m=WV=`n-XR_J<^klGNF%oOt3G{ z=uW9#tM*LtmCMG-Zvn*~a`Z;JhYkSR8e!q7y@l5bGRI*w_rZ3l(518YqngN!+UL?p zfPt;8XMM?7VLB$-yb1rpyLSr?34ZJ{%nfDj#!}5~%X0he{EZaGC!L0zcr=A1K)pWS zJ`Z0;?*vhuC5;lap2M^T4962R=GJ9SiEs9j$n-YAftACUJPNB1Kza*aZ9BAdm+x)IeKyP@R~hWzMz7x5 zK-+q}I`gqFi3#){L4@*2zsE9Nw~sIgi58CxWC}R(4lrvqD8Uv7HIm*?TqU#8uA&xf z(`VbUTwHcH03E{lJ7X;mXDX*jJh~rRIk)+iSvJlM_K(J7qM9>}O)sSNsj^Vt!a*}v zUL>827Nv|KT+S(rH*GhIMLX*KPahC%B1CilL3gBN@CpKir~tS3@V+Yvv(-BMJo>s#oW{SnSDLv*c%?*Wpv>!I& ztXpRM>_M)%n?`e^I-ew1IrMl>4aOSs-aE-RuLP32QqiyTS>zbC+Ix$4UU|RhV(H2C za3U3r-@7Bd?D@c|Lvvhs3lju6343fOt2i81i|%Y(%9R68@cRHxK(W6?tF|4zP~-NK zFC>&GsFNlZKPXy&Q6a7bAK7LiM-8L2`DiHFt0o+u+x2Q5g8phNWnN^;8QYa3d0v`RH zcHXOsG`RJ6F%_AhjU?qXw$k2Z>GB`ibF4UT4|lpI@1`NW%#(~>#7-)wD%y8UXp)*T zW(w={1ERvm%s%x`a$afDsqVv5&cRS{a|oFZl+%-XjHK`0PlD6@HWMxuaGY8k?1KZ52;*gH)rtJZjZP8kYZ8EYu4e-hTKxJ-? z;l=ko1=*r5ka2;n;rP6(K6l%YAHohYER$5TJp%H))5{(!TPG&FxEW*;=ht*=CXs}T z*2+PrX|3l*;UhX;;UdU#)R?5EVhYspVJ=zKTQZ+_K|BftZqpAwu2&owF_; z*)B3o+M>LRiPxRZlGVWHnu1wr$qAQYKqmns+lyr`tCsMNAB%7qg~GB!`4Lx5hK!ze z-eV1Wl-tMhij_V*H?bak8%mt8zi88ipxF$YlJhYL zCLflky&aOvjzvcqSw00~Ue=;Zk_P#NY3yAZI$(zwA_rX6nMT;# zJvrT5GdMa<@zUyRLXu6OX{Pe_qy%KbtBIE8_jx09=mu}h$!X~M7u!7N8Vz&4&#C|! z(?qTm@6uGCfM;Q|qAB#{QVZ4Nddr$8{5Wd4obej@s-A}Oi}n%WLrlx6d3);qv_fBt zh(viA8^KnYMgggUoq6SQWN{^u8)Jo1ury?$y`1LpV=%C4E_{2?I21opgnUMfxAxFF za^;z{G&E%~_~6+K$kqro^cV>O$DENFY~FVCDu)KWc&<_f%iT zDPw#<4oSbFNr!+Ghar!;8N18|Q4L2I_$_QSEz}ywwSuoceL92qIV*qmchV3Rt z_^TdM*SR;8(^d%?%Tu(3OA4_{54qJ`BmftUYVAX!ojKL1*wy+q6X}_*v{ASRBHYLw z18_AaA3c{E_jBk3!=G7?>Io7*tX8#Tw%-cRCrr;l8-2?rCK~RcAqE`Vny!3v;mgNSByFevRf4|CA(u)2?`$hQ&P}o ziwrSdJwHdUpfJfD4_e?U6M#*0WQ#*-+}(>`NJiYiumY z2!OChHs*UU%!=O#>foGfpMv}G`MO7EaFOr1w&!RODoaM8_BqtXPW#)Tl)^#Rl%}2{%PvJz%_Q+Zvk1Iq;;u9%5X_Hp*v_9S3 zLX2SUwK-P;S%aUDkHZiIa=9$F_?+RRTX=176-i`jojGDnJehL^@Z#I^774|bEfq%w zc&(Qx^X%Cx&gP&QkHn){(@7sc@I!bSwn@_K$a}6U57&{+=JHGs>ifik{P}_m$?0C$!L-kJkbcY=|B?1XPpVmO?dBHb$t-RmDA< z-Sey@q%N=9e#+trJIif)OkTobWIK`))iD*3cnq)f_DG1--K@pzYMbzDbfYWO%l(?Q zQ&9N!lqus=%gNee6Tz z-3t8jlAb|r4cY=}3Z@}#xL=B3A7eh9+~4s{4wn@qM}KEfZj^axfOq8 zn3g`}I)ZIh3Qvw0+o3RH)ebLfblj?9VL z+c0D*6)-XL)&~;QTSGh>AgVf%GTqW9#MivSu?aS15-1UM(?r$R+X1|2uM~yCr-V`t zG=pP`@f7l?Z(2M!hHKJ%+UyYdM+)d37UAHas3jv%l(rY4p6z-arE*1E8Zc5##xGn) z34x*wHl=QMe$d+TUgkelE(3UGF=G^Av$C+MMDO-hJkKpl$=o2~MZ+Bmcn?{)tSqFN zjP5C-cgMEuB_yX>J2cn6Bvr6fd_o^992wk7;hB}5%sHbwoURS*beeKAjx=q^PNyI2 zT;6&O)K`@y>5Xo&jJ5SI-&rk5Zx#iLhFhG5nTFve-EScRXk;LwkER8jHd8{f!7xox z85?viv>_OP-N4W9)cDF%M{))e zttZ71>!lnqS3#eZvOS1>cB_~x&SEBFjUfQ=Z)0yBYD>pR_hY=yhD{%#cGGeiMIO-T zHRuD&W;va+^}OsWssY44VF0JX-~9q2zL+h~`KftZ+wa zM%;TwMxzdK&K&>I0{V<|`mjW@J=J-8^?h&Sh>T=P&XX=h+F(&LdCIuC5e+lVHU_g`D3#RRJekK z!@7@Y8vnWJnKn9j1zW+Tu?h~3u)OpR8y7sJn2=uM_M&sy3DWNqCw0BX)Raciz{Ooo zJ^|zYwoLwwZ$xUw4@;^;R)3aK7B1`GalVnwYoX3SHjd9=S=p1PQVzzeX7RvRkAj~$ zi>O53d5~$UB3Do2u34oWTnU~Ygb&B4ohYx7<9j?OgcSlbjIv7%sIwkM3dg)wG?KVG>4i1c;UtxG zRn^Q9t23}j0&50sTGVW=4bj@Av1Veons2jM@02mQr7%r8Vkwfduq4|oGmwShBy2LM zak6%oKUdFJFOJc_K4AZ@p!(VjwV!?PZTyygc6(9q&d=3_If(kIn@ z1a;5i)%q~dmwYqgx^I9B*b_x+I7`hV9V{b0e3*{cA2!p&%PFHI@+4hSxzqw)c+#E~ z8>v+S_(;gHKkV=dQb)wtPcZBj!O|y0e*XG1NZQg>S6wr^wFa#eANc5cMqYLnmntr& z9M4g4i^uX(B9DVSYxNu+-_X! z?ks2NFrHVIb_eAK?RJjnKHpP4U5xamhscb$}(o08EE+KJg( zsMx*phc8nr?+PQrZ#U^mq8P`tn%NK&3UGrE21_()U#5M&b1;b*~#y16#3h5 zU713=RFbnFx8B>gF>`m&Sd8!7C`%d9(^)KxfaA<0BsRQ54;ohnHn*?+fzKUysYZGX zv350uMjSEAj_u5qmN`+K-gSqZCt`s@g-Iddu+*IisfnA!w~Lurq_>SgXYWRmqaGr$ z-uwd8x>5$cRfoF*6owi*{oYv|>iD*~=k>Gv`tWimg?5H*aocUQb;y5!qh`pKARTNC zICt4RG}URN3aJc2J++hXq~tkSQBZb;`Nx9NG+(y;Ihkxi*V!-s1Co2V%w2|=^dmUt zVG&RHA`*8!{gtZ#>F*dqf-wR=7;r`jnNl=V`=MX|yMe~%^GMy5 z;>z7()JsxohCW}2PH!Q_ovMT4Etsq{-(}?$*JMcOSbBCK57KSAQcy{93P17*(MH91 zqOPPD2IbA$C6={WrITQF~!ZLk1m~W8H0d4jok=q*A#iSY-zddjNUcCYrCrMXk>qNZcyek zopqq_9HCu0+qkeAy&ZPZ?>W?l#+XV4Yw9bIz8Y+|&ax;_ucD6yUoIOSH8gO&MlxK( z7P1~hwSo~V9@u`^W9b9%X!UZ_laiN=5c>px_{g$kn)^9Yt4~%<9PQd1K3?U`(`)+< z%@kY;8(;lW&~8~RyE<~2CDlKO@EAmlZ)>;BlrOSF=c-@KwCfHE3FmFf!wVmx52|g* zYG(GsN!VUd;}zckx^XQhhAvo=`J>Te0!uW*6v?;_t7=eaNU57QC6}I&_e1$ad2I7s zQz)j|xrLm*IcrfP`F2+*jl-;;4=Z-t5UW;D3IE#44S#imb~@R`1{(!n|HA zVT-htRVhqbI=vs86Ks~JNa~g>sUVnQIEZZRkjUY37V9^y4el(cF+ay!VAU{xbn~|O z=om<)#zNr_>Zofw0o0Wvvd=`g4nB$+~`MV8+O2j?6JoaG08qXPgTD=ka0nQ_MCGyg>=yD>t8ISpSFg(p&CDY?tz;C5XNKi2< zpRvWOG;=%_?AnFsro5>BaagA5)XQbrck8T2G}^h{!A4p=0Mqg_g=@>1qf^Ylf}rOq z_;c{c#ZDRf=}INZwL(P%5tF_L+BHDUyu6R3y_DNZRz9`EXbKJL%Y_T+(z-m-wY6!* z@Wt$M6kFiov*Zi^dk{<LKV6-*Cp#do%{ zBZ`%0V1msWr)>{G<# z$*N2yX&pd~(PUJVB1p1kw(ICS#IaHp6~i7@Wv+`M_VU3)87du0Ie)NpZBzI(X3a5c z0I~|WfZJa7DB8aZ$fUpG+iZ6X298hqDtT<2xF&RgsH+ka#q`-~GDQojaE^_tD+%j0 z*JZQ^?K|1cG*4T=vP5+ojaon#ojc^uWA2G5W@YNoXfyv8;|fM z6`hltkExx?NgyN@BF_#2JF}N)XOv(mhl0kN>9v$%Ulf#Fz5980F-|r(n+p`n32j*8 zx9o1%=gX-?YeR1Aqv2SMx71Ir+c-2t_?>#E%IydhNOR-j8Vrr~i?RRsupKAjkVuiL zFti^$m6^Zsy-~R^ez9RR$_)qTaWD7v!z0m>zysQBOTl@_nHJNS8~AHofQ2MKh4Lh# z`H2TsCxUX#3bCru86Qx!U}8N{{JFMIo1@X{*XUmU@-L%;!=?AB<&<>QcUhD}p5Mk3BHQ0n(~g^kVtVkp^{kqKbq<748_Pari3o;+P-KY=KZ+}%T!SxLTv^C; zSzO_ct#ZV2TR|1 zBY+h6uY3J*19|?JX+?nbkskNHn}41aK*CvOY?iSqh4#|myGAXn$xBr9k7Igsn8YjO}FZ>=lG z9iBZvA@P6nWcIjmTx9B?x8nX>Ev$4h@)|@<$=dr9v-T#;Nx?2Xp3EadC&n)^P>RC> z7o%gGS<#*ZypN7en1Bfr^KXbjVJ8UOuXm_D8`hhUgvzor2eI;yzY-=T=WjJ)KD_}hfj)s=)L@zoVL-*!f=bRw(orq z%m6(5wTyEAD`vhj1oaQ8C1P4LC~Kj(gAj;eiM}@?fN}(BBg=RKy>ja@j?^IFi;BX> zALBrL4GIUipNN)j&xueKhCu!>Mk;~K@35o2K143I4tx2#P?9}_jRHg@hO6(Q!ECY! zKU9hq`A!^FO1u&}2eoKp#*fREZxq0Ilq_u^e#E8^B>`$A1z<+>sj?6oG@)qD? zUiIxflBb$ss(H}ilYpZ32f>MKnBtFhgHL{B1t|x9KokQ4Xx4doL`W~VE7pkm?RDXF z?2$EEf-kwyDVV;Y3;Qz%Cv`0K)%3*jI;>s?N6E(X*e&2s_3W~XL;H8!)5_9B2N{dY z$CDyHt8N--8$$zS{qOYvH;sri?ELO|YxM8}g4Eu0lQ5AO%*u`uciyEb-&zzsj!*Lp z4wv9gwlKDc$rpQw43%?Bh(^FjUfyRUfxmB(GL>#^AsVe9dhine|rU>j{iD#c#L=X9m)EgU7yWFt?Ja_emEWANO?it z9`B`9Dt1Q)`)*aKhJGw6$nx8|lo)7q5IV2uJYZusV0E~gcHX+G_s6J2tBVrpi+PmV zm%(3`s}Rshw^+;CZ+EfokFS)3HXE0St!ouv z`5NL@{H2pah&an-mKe<%WA5+LOXe!tvf@vS0p`!hF`gDA4mA8xIp@9Au1TLLzSGQi z&!Vb*+aw`s&}{!ERZ+c7_7xRUAmh*DfkCTeo0+b_q1pHOQPegQ*LRCJKHgEvnnd{f)27zdjj(A zGDw6p6U6v&qnf0h4Q+r{p@2-EV=E+4-#CNN(+k7R<5?-t!JnXlIf5GU_xfiOM?fgV! zxDPnp*ac1^lx)o|F3Azpwye?U@loxMpI<~=KO-i8mZr6Y@OJJJET~EqDWbTOR{zeG zbuFXTN6d@p%eMGy70ahR$2j#H<&SkUMaa?hf>jwNLnsoam95tmWqNAP^UzlL;|ox} zsm$X=D*Z3#r&w(>4%&*;%@25K+C*=g2wHQ^P5R&oUHzxFfS>6Sflk$m@s`5Uo0NRt zCve5gs5Jt*2XEK&MBip7WjXRkHr~ZI)SO z#75gK({d9$Z(8)RdHf2Kk^FbHFu|nD;E z-6UG=D~aH^vitUQOSJp3pFKb8zzM&FxJS`NNE6-ht+!UZ{!q&N_;Gs=6>?PyDe5Kq z{3%|j+2vEG(=c`_o$tO9k-N~{-;?c#M@ws&6eEQkmLe6mSQ~`d^IP|HhVh+;w1k#% z$d@7^5d{~ZLj4k7tiG&3)LK+>81O!{_hNY^=u`8QU#t6UZ}R-sx3l0NYl-{IZz^~% zz~7X&k86_mNyG*tYCm#|tUwz5k(y)}C66vKFXoeCoJ1U(U!2M)!|7+B5x*EMZ9DIO zI*4z{6Ma^?le#S5;n1JmO^PD5(FzD)FD04f0ROYKyDI-he-dk{s7-h>$5ZN-_=2?-;!l7DjUBFta;Oj1kTE@Uh(JbBHhXc;m!61R(?i{Z%*5w)$zF^-g>PObz0md8 zbMibuLFApajN``EW9 z8v#brKin!METDvi=>lMmI1J%#tgYCe*0enu##*cGs>&;Cib&f*C z5&?s{9Z1dQI>mSegUW!HElm}65E*_HS2Z4zn(HvQ7+(GI*sY`d@$;uF{O5{!3dir0 z_{RF9?;>|5{W``61j|CC!)Ek5uIvuCEj@b@jG)AX>2`D$MoDUqxLbrpmqg8<#b2^q;KILN^c4IP2gUhIGZ4XRl)r|AU$l7a z$74h75YC7Xrau9u2KRwE0yf?y0j9}UNt=9d#g`4UzocY9-jRvRVY92lM!bs6@qd_;C3wNv_EbL9Vy6Kt6A-s~6dybb1N9mz`#c zY?gCnXj0_yAeCJ5<)osI6XJ0+HT>?v7{j?YAH@B?0gD&z={$Pum$Gj~&lhpMg(Nm9BKIlVw+c`VW=spzW6k5{r6l^7bsPB(?kc&$-^~&3z(~Af-mlblKJ6 zTY1!Sv6G@%Y1lC_J@2#_0GBBZXEqGN6|da!-2$}zq5u{D+B?rMdOV3nlK|axeZW?0GQudOb)2f1<-bW3gn(S`LPY zHoqSr?4SfwEK;Z#L9KtS4qZmoHyb4kIKkK^-HRTCcsVZd`r+76-sI3(gLQ)S%6Y+1 zTl6>BzWq#Ek-}!`>>`p2-}%oJrXv37fi#cLM7fx2TmSqr(Td`%PN56t+qs!;CtqZA zs<&DK*`ASUq2;-VVcAaeC&;BHlJ)*7^gxLfQD$Z#ftLPk+rf~*>64{U-RNU>q^x zGig-HF~-r~)b4W3`?+9kXX-C7zwP%x4TjT@%PPs1e;4UZFqimG2f&?x&(KyA7cf5H z!p7nCGjnR*-ZnkrX#c;8>KDRxTps?na%NK9crzSDFFr-CHeiWRa zh)Od|sM}UuMTc5!JGdIN;x^a4tkNVXziqVi|itP5sj}qTQQtluq^#>{Eixk zr|ePb?{p;2_2;jglQJoBm-0(1rmD1<`7&Y7au7&ojK(j%i+@o|rIOb#Y`^vX zH`5P&iV5Ouq%A*0si-p zW5?~OjEii~vfPMNu>YvY9B+9>Ir;T8tMlV6Y+qKaRtnT5^y~C1!vpA3n8M62A}WFt z4JGoxe|f2xsK&~}iZrNjW3~I*C4S@C3zD9Imq}!9t{dFi|7k}^Gpd|4>0UwKvGO7Sd^(Vvh*zn-^yq}aP zhimZ9zkS$yB1{G=^LM%7<-c4s-c|pyy)uDXQqSug+3qp~xb{ImfxZRb&=O&6LSRy~ z$cd-67H&~gG=D>R9|{)8+y5dylAVvU>Zd6REk4@P5B zsXzX=7>?S38x2P}VbOK6qvx2@n2T-QUk7FX*;Gi=k0N)RnoNvKj-CInN%uEUXDAW; zomi0;vngcSyDa2iI$D1Z5N1!axr`}Q{QCP)LhR4a@s1fR2w1yzn8ytF=%_}BOzuhB z0gh&z{&{wK7I)Duq(_BaQA@wK_ptpJAo%a#B0;sBJSsV3CI!@uiRr$4eZ}9dWkh7x zI`=-7OpiNFVUuW9VJ!8M(_}$8F+VNCK_m@=jJna6-lWO;7takqw6EQ{%A@{9<#eVT z9I#$~H?o}{o_`Ye`$s=3VfB``OCm~o2C2qwsG9Zs*K#uwIK=X%4JyC8U&a4QY&1c! z`do=mBb40KodIHan(TqWVG0)g1=m*bX&3`>Nly2cU_vZOhW4K`x&-j`J<0FdJu?iP z3=!cGf6%U5S%kkVK0p3TS~lFpnAjW%?%w=C0uU%tf2gnQMq*!`9LCE|`YqKAbt9Xu z!llb!e5osU5?vxw|7WOE97^I=QVwh6b-?AZ;-~Ji=5cr?TPcStt>8!<`umnPhvp5# zMCTzG9LC+KM#7RMP@n|IMrziUsOkcetOlUt- zwX<$sIZxgZU3|p$YW#I|oeSl~{(a5c`OB|7JfPk-(H~1N3iJ{l-CCDbURz(Ofcrcb0SR8Gqhj|$`@W)hi=;e6r%p$Bbg*Z)3KZ>w%};%uj-P2 zihgqvuHSkG(-x4Z(LQU#bE#Hgi}?Cdw|^@>l<`*@xGSmoH)I%?jH6ek{rK$QlR{VT zAsx0r|3e~yAy47 zp0yTS;LS@)?Y%~w&FN0i!oSAi$d{o;o z)WF6=_K(3Py47dKsu8uc%Fc-U+T8#TIPYiP+6SVb!7omKs@I|-{+aNU!Q$SdZ%0S( zG`T%b8S^R~AQsXo9LANfL5&H}@C?jcO(7DK3cfL@^&?`^k0aBzX*w^Lw_o4uy89`;I|1b`d1TLH6Pq)e8 z)pmC>hcFn-dr&}#()gc^8F`?*#i0T^fbwG za`^gqvqdeJ4&%R7Pv_{2mr4tEftDt*+#! z1xn-zdVk&{HojnS06%{bprZgPb&DYakletQiTvmc&`>419J-Uw$w2?g*-$2`yCt3T!OJ*?z}Mg#6Mk z=mKfvPiFB;y|}?NQjPb{y`Rft8c%+Ic0--%tdJ5Vi@6Z;a9D$Xr!=Xi%M} zeD2U^@qytD?ojyvqnmQiF8`TL{Ii-xZbCvd-+d$Lq;dq)ge~BU9Fs& zYiGGoO`-AyHqyF&C-Z`l@Fg5>0?qr~poY-fKQLPN-j7WYE~-|kt;H?h^YG{iEW$Qx z?L{8_XEw?q-BVGw+(xHj{_F+$zjnR@Eb1ibo17#F5(EX2q<~1yk`zHi zMMMx05hV*q5D>{Z=bUqnLk>fl83qOz(vTUFh^UAt0wOB-_Mp4Bu6y3?-TS?F&+}~o z!_2?CtAAZxU0q$(z?Iy~V;zKEKICd@kYLZIe#jH)F-(Mg#pc8TGp18#8FI#R*eE}A z9%H*Txw?|!&Ov^fhH7<{N$3T;{K8pUlENoX7)kITq4~NQ1SwFL$S;OPRWJPL?rPDV zU#rv3AIK2^Qi&cBk7)U|kQ@=79eo}OOYB3Hjfxo~8S-{8sFC)E*X3S^{ujcO`e@ccav z`{4Q}h17c|7X&t@`L?FHJVTZeiOz(XL2dMTcU~Nhs<$zCyK6`Di6kp&=z)FV$83H< z3k?L13M&%=6Mxt7xl%_XI7)c)6Sa-q)N@ypm*)jCF;>5<{gG(l=H+ ziI6E9?6<2!jMR?ELzGEw8wk<#l+4`kJwBjS#1yzY{hIY!?Zqr=q4an*nj#T-n&$+y z$`#35)t06gP7B`{8*sb9oxtWAnE&}2hISj?3Kb`NSGGj6w8pE9q6t}X2zqND(6^XH z`Gr_hMx0NLM>wG)=%M?3i9!hx)OMbvGM5TNdm=$}LQ|G#f>xZdSKLU;W`HIQB5wH> zQt4LMo6N;uW}?RQ4$YoVM03&xE*l)6Y(V6GNo~Y;0G4WI{>Gj_ik!q7DVVV{e-3ju z+n1!GiIcfj(Arvk@V%=4Qr2Z@o)DqsZS6pTdNzkgNr?AG0#lg#-hucB*4p4B$eeQz ziLDv8Kw0V>xp&dsWx^P9?I-8wF1{x`1@6fxZPwlS6 zXU;is^Ppc2W)AG?-KY;d?$s|A)GKVzgi$AU>2}L}te5$=R5FNvESciqIt(v~XBDx- z_!D1|f~1)gA} z&J*cCx~-}WU}PEr&<@JkC+*9h54C-!e55R_kbb7QJSBVLd?vKX{BptpQT}Nc8O6k< zD6A}3Ntahsnr>hj>l*D%NXrmed~l_uCuwr2i;3Y5--ScGd1pS{@lJE2HL_>o-=Zs_ zf(v3VX@4wOIdhYL^=cv zJ({0*C3|YixDM>@E(Sb^cj~G)Q%+2h<&8F^GU8+@KRnhn!6=S!vWSx*We&2b|LE%# zoJ%%%DDlOsSFPmZ{8%z-X3~k1#16A~x?eI`Ed|81{BwjQlHnHu==7ZwPty>q(yID) z^;C1tCviS9g_T*}5bIt-Jtr^aj_X+ zvDXKNsdypBVmGCa?T^w3!^|oyY`wh87bVw1mGwX-H)5nmGO{oShgPHUnh%%|;8q-NTdFUzsQ#8*<8uLaJ8z+8z?>&Galmi#Qa*LUrlOFps6 z$8sS|l`Hj{1}w5wHZ3}=VOBKMow}omp9vg&Uev4>1y{sw4BW_#$T_1r_QZJJ$@5{P zMCCiWqKJd!C&mMhrEBON-63Fl<}nTN98gPEY#HaW;Bq2(Kd<-p86v~+*ge7fN$A;g zUVKaiq*R^bv!s@OI)M!tF;)g<1lAtnt-(hRCtjQ`F&_}L+zMv=vT6}Kmc((qr!B@l z-*(DkCOXktY_A#tVH35YFGyxBSxkQrF+A4=Lom>Xh?^RAXKrc}PE*)(nW8@+*bYCD zib_({>-T+MthPk$om4!v*l&DTYxhZlMtY_-#XO|u4)xoF#G&eoc?m=Hj=dR7dg(KT z&U&ZrzZQy7WEwYDw4qY)ul>{M;7kmnM)knC&5AV zYGx{4Y4hZC{&YkXmWsj!Y@@})(Y?>=Ij5#%=!(w<6Eziyq^*B6gQxC%a95RSx^<-5 z0&!fydrBH9sN1YR=FoiAKS5vz8TS6r(Thx?t;*)rnikI4t%%`5dIBf;FUL*RoWr)I zhg@dgXgp8JCAw4P;_%MlOi6j!4vSjg=E?jz z--&{=F*Cc|sTk;Qy?Lmb-Dl_~X3^h9;?%YhyP#RumyC7;YqZZfeNv_v#nT&ch8=vx z-o~#0mxo#TA>+?}TnhZXh3^%1N>A|OgxS51DpIF-7Ck=SpXBzV$RaU(U5QAK zj1_+h^S`p~;FD^|ve$f@SkLyeiNhiVQ*`^=6GkEdA9%1IXooa>mnWmEh2LnBab&%_ zdwKSzVmxO;da@d6g@r73|&FYC2wom2G`BElcJB(-oD4*vPyfid4twj?B=s$A(Wli zcc$+HOZ>KXTy!KK-Os+CrFYdR*=-9$Y5}*2y1-ZU+`Y$wMwl?bUMu%`-bY!BVy@AX zX9;^@#nI0og#21c+>%3Xn$S>app1++RmJ5<0ZK$dbdpf>bMEGFHh!j%HNBpalN6TB zZZ~a6xsN~6k{WMkZo-#>%4LxCD>WB)P0pl;y37^q2;!BQoIjmKbr>SX{Av{syT>p0 zSl5DQNV@8T_5G%&`ZuKs9j|;Kr4-kdzFo)bx@DU!`td~7Ly0F9l~)a)7~C=5(%B?T ztftef$$?Pk6G)WYm|rH*SIJ26Bfg=safV#a+kQ15DnjOyoc2Acg?U%TRYQ(49kWLd zEGpwv!QYGrxKn8*I|W))whm2a!#dSoK1jY3NLrQHWf1Cd4)s)@V(AFwiPoKTzVRZ$ z(2!48)zU}^^*%L@CbortRG^oBWKjws{=$*l&zpCZjVa`6<^2r7?;%K z!c_O9x*FHBDo3h|3*p2x9xB($9`>P=6_8@qro`t(ur~@Pr#-{!I*L+8X-OiSbRM)W z$}BFMWh}mm!n`?qiq#)=UZ}d~QPda2khX(^ciGElvS&20L85Gv{7(gfP%p#{2V$1! z5-yr{m}4}RI;F2+t0>Sj6b6dcWDh%u9dEDRK`QQnQnR)e5>ls7EQ)Ozg4DPP4 z%0`@;HjK?ReO2ETm+Un(jvy|-y-ttf*ioiR6w%ZuDw8!R>~`h4aEinE9c+8v=MwYp(`Ty@u2AbeFYxk-$;%ItY5n{zpIVG(@iAc#V{2k5K|#@O zZthEck_K!1+xICr(_P|U```B5d!g@cdtEn4LhaKfEfVwllNgi{v`QV&>R1oWc_mL+q~beTKWM5Wu}usFs_GR7$Jc(Rw->khqqtsT-YPZT;y*5G(|xAn#>bp1d)bP8 zDkX%{w=ImWGQTXd68ty{>wF`YEwZ&pe4$Z`^7-O6!&!%-X?zBjFXR4P$y@(j|BZ2c z{L6nCec0Lg_-S_!51)XLh?sCB^4DlH8l+lc%i1EqC7xBK~6?WLQF(NNI-y( zkB0|Fu(!AOW$*iu?CtID(`WDlO26RY;RBxEnBurne&veei{pCWD_3H`6(8@*-tMQ5 zA9r>>d|1Gaj|>kDW5y>cglP7q%IM~^a9HytGBqRFre(gCL+1>($w!ymk zhQ_fAOD|pl_G>uyFP<+yTYCCres+3dWT2)lDK9N9DlEv)&&$g%C@e0ktgdT> zwzRdkx3{$dCeYS)1gd{*cKOXm0@4Eq4>2BQW;t?{jh%~ENJ>dv+raFBy`$s92Nw5k zX=|uoP*J&X@$ywIZSCvVE~_et^B-rVB-mJ*hzO5}j!R01cgRK#l|NjBqk&#CZ(ihX5+9G6_-}lG`1mn z`Y~fuvrk`b;*n4@vU2kaiAl=H$^e`|W4|k%SHE`4$kGm=u{ODV{mR9QS9A=mU3`PW zA|fL~{M{^XDDg8AEOu38Cr0h`X8V{w2rWUs+}U|KP#$4>+t@D~u}pZ7h2x}gwv1e4*ccyBC_`O7^^#fyKqoR|`x}Sa`BHCNUj?cfR zVCLXvXQCv+!y}@gJJ;IFKK- zVru%s%!ip6=;;s99i*lp+8i%)qVpZ#+wdGce9p`}G%7YWD%j0X{^%Ao?D8R);>}wD z88vVe3W@0K?&)fSWJP*gT$4Vs39%Pom9|Z39GZVRGt>#|f4aRhS8~x?g;37qk(ofm z5j@sKZR!{dKJ8I1zSANSa_6t;8r%DXC*^=Cu4;t$4fc1nK|A_qS2s6SmlmGA-6JB# zf4};2eUAwL8RU92Wsw__vk+hKrdw!qq`!$2dCLP*>j~L9qSMtKBTtv7k(D`F1r@dR z4Gr~m)uq{S0rrM^2Iddle1fAAV*L$-85sHGa?kUsILLfxIqfJ!z`a=RCe*`3p}FD?nEp7hhb@jRjs`vBmG@KR$cJc z=H|v)2pB7(D&iu;AsG{!tH(*GIXL&C$w|GC??~Cy{c`FW%M#r#voGG%PZ%k-N@o$F z37xmhENNY(<7B5^pPG7!M|t=-2Mfh2x_xkuUGbXcInk5sM_IY~sC6Ot0*_ZCSS9$$ z>cxHMrPXAlj8Z$Nr-$E=P!SBLdWTgE&Q4=6GtXBR$A)L#?Cxzmf3mdldUa)Odv|-b zAwD1?CBaoeKsz|j`}_%si$dLl_w(e!@(MHKLi~LFeIIIxaEaXxO3jS-yMObN1k=Xc z+TJT@V%{wIfoJK8YgwsF;>H({JU4a~9x3T5%=$I(_WGqWpMHP%$#a9L&+nH8>(dj< zhF9M_nLT)Lr`Gmn;ta_Fyye*!pGhgmh{+BzA7y4>WMN}He29jUf|TgX>TrE=S#3pX zcp{{|v9!8(sDOV(UXEPdE;P5ksVp@nA-5LR+1da_ji9R{@2iW_j+Vl<4;*08N$s8- zXv~c;<$m?_kjzDu3pZ|x&KS!32B<|#m5rnvyXy2Z@c`T9#w%99$<(OUO!#iOZ>|$cvs9IL*gKL$tR!k8J6kndzyks3uc2CU%OOi<6D<5EG}6xG*m_pO64M6AKr= zfRL2p`HNStT~X7}H?uIgqpd0@BYBGT5G@Vy+p*T7w4~&el*E{rq=MEtLONzf8j=rd zTg21{4-nz)epp{y|42YYNJw!+^!x=yFc1^r~JKI0;p5h=aJz}C+6mX3z9l$eq(*yD9H&R;SGJ4Q@wd|Xs$0O-oj*7n}b^Df@@fbI-)e!_(@P))kE# zw{G3Kp?Ud=#+54?*Y)oio7+0Nc>4zi2KomC__+H=C&Y$(nOKITrX|IM1_TBN`uje% zxMytR>Fe>>^`V7BKy*@CdPY`8a(qN!fWMo)!vk~wn52w?qKugM(w3^!)Qq6pmWhz6 zlES>Sw48YROJZCKkE2tPqr&52f`fux^-Y7KTyH%Hj*N;9@$vQb_6-d1^Yig=b9?OQ z?C#;|6A&C479JTL6B`o|9v%26&)QO=ob_k8W9V;mAI(* z^z6KX{G#Igtjv^{$OwN6&8sQZ^^o%Frslc^B&s4NBFg)YNpv%~8{Ak^k!!sC(W0Qc z7m^xrPtGJVAl zx_H(#S3w$EVW|Fr;r_Oo+NRF#(#YJ-*21#Jnq;}KR58D>^O@l!c-1RP-l6`%Y2~%m z1!)C!mFbz4O-+qW(58mQy6WnR;=+R59N;zP=NA@&m)y*hr1+TVaG#Kp+MMjtR8Rkc zwwCJhl7h_GsI1zSmezJy2kg((3>S}AMDl3Zf^0SgMi}DNV+fk#_BRxn|U;n_+ zi=FUR;oqo{|(39UbVOR)-uLu1rj;?n1-rtBTT63K|e76sjB9 z37WM5SGTPd3T>>dg_IWOW#m;v86M~d2Ln`hcULDI0SAzpfNx$}P*_@8 zgV@`}+g)3n!7eP$PGSZ}=0A{79>niy?m&!9j;(Aysk@bg(c4X0L=E1ntuJiuYHaEm z9vvB(!cI?3PEJltj*pFCFoXU5y*)ihIIOJ&plYb8Dlf{*N=pSBOLRnJ(E{O%#)j^` zK}>H~Pj~n5)WrB0W(17CzrVi^2p9;ewWYDTsw}s-4u;((BmB6rzOww{&Dzq!((8@2 z_XGq74iau{EMO+z5`0*CIsx%jKkJt2!f%>cRMpX5(>ydaHI1FcPGe_gXJ%#qC>*5W z!9l>h8-ara1se5LLJ7d@PtAtCds&v!2ps+K@rjYXfoUvm6ktrC5gG>wiD-j1)m0T2 zHx0l1LVAGY&D_GX7preq7oTtL5#eop!6%|VNJ);jjD7xTW4vd0Y+$gvvANLKD>ARK zv9Sd?24Kw2fv=gl+1a_7ndzzNNigKm;i17ER2Kr?(bm!c)S;*#Hw##noWhdIzL}QT z$m)^FaqQg8SD75d^4Mg&b%oFHK7=fuTAECNSeuGjnqbbAT4+=Kv%ufHVyz zVFWYS*Nf}~j%90eT}@?KX<>d|erb6Xv>iD$U2GGAdWxN#o_zuu&0qnZkr8kV1%P^c zdyvRZ7z~PdO-Mv~fSR0)i~ygMaC4U!pMacb2mk%}#z87FJZx8IU;l7VT~h}fJv!C{ zh2)pCV5Y|A=BL0kVX^Z-KsZDI*X-=fG7%(Y;^|b$4~6z%jqK7vLKj86TUNnp~Rg z>#47Vc1%3Q&M(Z*PXj<>nEt_GbpHVO9st#b(Vd8%zF}xfb9G%CnDU~cT5uWKzj$tG zZ3)xUhv^#}7#MA+9G=C^^i+QbsuemqGchqTg2e)TnFa*Z0jJnNJ^<0g1kg|b2&|a_ zFkCd~1ITL#L@I!ICon)pv*Sasddw3nc5Gx~Y661+1w)vj{{8`AhzABRgNXW?rev%_w}LCef@)AHb9TVqf! zGY)JxFvycbotW8apwiRh01;W{*f^yCqaFZ@c?e(u2B5RE6WNLELVg#Fk?99!Cb~H71j({Zz7!Lts+TVxn??t2AA!XI|Fa)f*FfG5jp}L~Hy1qC%6FoD6 zM)eHh_zr_XB6~4Ig9CkiJ-q|y;o+9nu_??1FhD>qV3Fg@^b{5gG<<)><0cG9X7HPI zz$qMw>}YRmgTZj>jX-q)of@eL%0xm7iyGnGVB-Kg2Vf115ZFF?dtuFB2_QP*mHFkh zjScnX=^43|=;@&@6uN(Ca0oYA3|L&aA#}rGsNPO=TOM>0JBia}pwT!jnw*}Vmn)##>TpuI&cziY-(z4Mzm*VK~ZfrHLb`F_y7=LKUnNt zV7;S|ouD=X28FgDTdQgs!M>B9m=>KoJPb#6_YDjIeFNhK(+&td(1+|m^!0XDlps+( zBbbrlvDvx#*~v*TYd}8J`x*{(3pd^Ypq_nTxci$d9M%fOZD%FGkpNMw!ji&@ltehH z1I%G7vKKWnfdO(s0^mp_Zo6-3Zf=HDRRW{ciEOE_PED&yOn@Ol$3PDU_T`SjEn*y~ z{!VD;Kwn!Ys=i}%c(AXtwPRpvVR~!^C=k$UoUHcuNiesAVDAQMj7EXoyAuv;0Sg9r zAcgr^*;!fXiP>?v;HD`W(FeL2nx35>>FGnjJK^yCUB02Frn;aQcxlxzR9j<5Q(b*( z25^-Sa8x&dgtKmdF;IT+4l{&=b%FIej2avVyK`4H@D0!tBa=X#!Q|m=_7u(rflUJ} z-hQysfg$SZM#2$oElqVbkczUB0yGKXSC@|{L(J|aUIM9n~ zDy&0~PmJUA2+SK6w`t(46Rs4u7I2}@Zs1F_wKp|1R6$C>{+gYU1^jCFijmIFUK9e} z2A_KR;z=*G5f^`KZmzGbE(d#FdNMfQWR$i5g@V@?7BqH(_0ZbU(E&ps;BXiMtW+SY zeMmTi0&E=UZejv6G(Of1Lye4$jE(`*111b?mQy$#8U~8DKgBpdtrO7>HnXPMii*O* zoYb_~BoK1D6M!1)@5U{>-q|Np$hx}bcHqf1)K@{uiwbix6BFWNlk&>z5hyrthQTh? z-rd>I+y;DHDA*WVTiQBcon75MX!QOD01Vs6@Wk>9EKvBKZeRm|nE@Jx85tV`lLhtw zU~&N(ob3Ug4bJ&!ZEmcuswm0LPECjpjfoA7_mtO&?HTRvMs$q>Ke@W38Rz}fR#lc2 z7Xl|PB|0+9Keh_m2HJwP4@b1L_qCSQHsTg2ZizNF0iB1owF8N@w*X7hg&G{iK7EEA zof&U!0qTJSYqbjnHmbfsoan#{ux~)=fNR~21iol{OJhBxvaB#KBPBj6Bse@MJo4tq zZ~%I+XAl?#SVv8HOLKiaKvPnjpPQAMoEQ}v;u}!V+6g@D)>>#U8jfts$psEoRb>@$ z`^ziJO97QvLLk*ukm~Bj4%9H1l8K4Q#c?3a`i7>amX>B{JFFcTJvgw$KF5*Hrf7aZ;v9`8=`)UCE_qPL@~xu(1V90h91N(%FHv$NAv6Jw(S z{Cyrq7FM;v;Z3FWKzlkXVhb9|N=u813kty5B_}I0Jv}`m8?4ss+@f08z-T|Rqob=I zgQ~9qCLK^&Ss6H0K&or%>KcG70X4U@KwE(;4Q+0~ZAazh;CL0E6crlgqs%NI&g|@*oLumooduL9IwT;-^RbVOtCvHZ znx1-1Zf3r}5fSdeMdbxWMJ2_#U_2>F zv5{dx{=VKI_WsZoL>_GI9o+%~JiLQKgZ+c!(lSyK;=&@5;-jLYA|oR}h$aG@*du@( zqhr7^Co&Sei;9T`!Hc-~_=H%nY65+|oNdf3>%1Od6&SXtZKS{U6>)6&-u$jeOw>XMO~k{BBs6&~#C>H5&t%FNW*$ms6fyZ4MO zoLx-~ZCt#(y!`?LgCc_M9K$1n0{j3MAUz*%Z`?Odj(~tjy*)kMJ-k44Cpg64&)>_- z-R{xDTX#(~9h{j@M}gwG#vb=XrTGJsS zB_<*|B0MrIBseJ0&&SKj=KejyTRPXTYG_^sq$0`8x3{;kvNSijXL#4h%*x8f!N$(f%EsQr*zmgU#k2P{iA3E^ z?%vlhbaD3eb@BG{^mcXiaJ09(Z)S4OK<&JWs`@p(JBC)iVc|jk0lpp{ULNj`>>t`c zFu$X7Mg5YRit2ggbBapm&MBW)Q&+p9d-J-6)-Ao;=6Yw;9K9dfJ6IT-n3$U0xv8zC zbxlj>roO?Q+aT|vc|}cCRYg_pveq?CZLMqC*R{2^u3uKyJgcn7(RJMD+SO}vmp~xM z+Qi1%+|uOET?75wAXarnLx_);|FneM1#JT(W23wG?%la-Y^ZObuX|Hh>*|$Dsw(Ht zDu58Hn2@lDu!yL*tfHd4oUF9$+4C1Q)s!^Bh>dQ69M%OnrHdEOfoz+Kn%ad67nIK_ z$;nCy3yXj%eqQ;! zs*1{aIdO4DTAG7&Ol(}Ighj+<IC~y7Lbf%VL5vA zC>ty5v16?4oLt;N|7v;ycC5%gxI2bpFZW z{L|O(J`s@;;qC0;gCr#pF%dZ}Fy zevFx2NE+lFWu%T%P#)#t;o&-QivJ|7PDm{*#s#|aOA5eidR$aO zaeF^-4=3iI0xuc3?YONHL`izU8EAOs$Gg1-~!UAHFBBIiAs#=;VDw>+g@~YQvTi9C}nmBp5`vgVC;p|69 zKo~9{7oVJ4Ufb3)IPr8Hj}&C0sSna0IzUQJwEAR|n1Y&yiky^~U~hYUWqxd^4*>

    Y!E4$cDU(q%ePPdlSn?j%NBAQoJHc%yfcs zVuB}*NSYdnpEeAM3wx-o@8}m-KRN>MdAhOnc6ssb7Z845fA;*$!W>S=^!JU z8K2%@J;_b`k*UsM!@De+C(f{5njNIT> zTt~UD;PjQjcO%fzXK{BPc&E6sU6G}LI_~y+~bBkXvuyG5F%`Ar01Gjn@ z4V)`jcmMEE9|(AXeZIY}2n3760zt^v!NSbs?maUL3u{|zd*48B|I8x$f$pCt=8)HQ2#iV2EU2unE6*>4G&a>#6lW(z zh4?y{n_Aw#tEDP0ev+AV>m4B_4gE0=CfZ{{0w<(YdFQIu+4(q`_G<1D^v^O;l ztZcm5CS~A~xuW%vh@MA8l0ZC2en~|}Ojh~A z#Y^h)d`u+I8Y9g_C(~~>PQ1p)Cpzul@sU|l$J*KD@uP>9hPt}9ZfYo;Ani+!2(c8P zK4B7`o)LP9l2rWGO)a~y$l$2dgwV9^g@IfT6=HQQiH!b*x1?+m>iWQj-?y~1^-YI8 zS%2u_9S{@}9uf5L@@ZBEYNE}>VHgx7mGQP-zTP9JWjJ(T_r=m%JRuXC(YwMFmUMAWEg62hqG10k|B{{`S4QZxKzSkteaS``WuYmNjR2#YTw!x91 zj!N_t>|zpPXYaa)#wBM~j}tJSJZlwGiNe0#BOwPSgpPrUP57drbzD+PN^)`<*!003 z8Xq4M9u(jo7!n>H0s`-W`>B86MD`F&r0F*0`>vb>oh)v5}>3 zYHb&0;Unz{nG0Ha26yflSwC`hc69a$js!Cc# zQXD$UeM(g7jGT-hE9nxlp}qx}mKH>BUl(xDySqCY8oHj7vx~@`Rk@^d*TUMy&gn7O zjGcW#fF>4JHh{xkUpE4GhXV?2sx8k;O-#syH(~EWpRh!_D0b1v z@%WLmi-%88RANd(guj<>Xk1cUsE?bcUtoZj!vhD91&WGI%qppG@9OOb*#k%=h~($w z@z6`zzCAD5g{(Fh`Y;P?)rz7_an2boxpb8>QWaPsg8g6kh=6wX~xS64YBc3ko!|BY1+DPzp6>SQ{Is-!hMw_>{^o+j=!6_d3mgFhN22}et>nA6`UdqA7!nChR?_NEBvHEU%=fk@f*g(Jlx$}oF3X(ni=0S)W31{ycF*d zYN9V+h$xvjPKioNiVN``XQl-v$;?DYN&MygyUiUuB2qFEf=}x&m!3Xf z+u8+po(RDlznULGb+jRdUl7uBi=S23ysqu&?BeF(1sq@C{Cau1yW+feYv4H=-2)D@ z*?ns}Tm^S`cQ;pH^PC*)L7}P9om)4wu3S)(7UE&0rv$D91?>@TAz5Yht6Dg}@Z1@3 zL0(Qa7DhU7n}Cdzl#GIkmY$K3fsTp6fjDb^q^@5_5Aoo#v zN@BcEA3lD;-M|5BGuqoCLzJhyTZF%1Ucec294|ljQ zGB!20umpuTa8?$k_io?NR9BXh5Io6ol#!1502#ROhWl5FxT|L*`}g7~slk;k=A*|r zxKHr%^YioZp5S6+0#>zH`^e*u?0+j6fjezmZ^ng8n)De}W+l z_A{2>Gx}N0pOpP6G{02-3BP}{=wE{Kb20sUi2emYUpoZB)<2?u56yn-KZf*;@sEYy z3KSF+zawx?1}A0Qoz!0mgfjQ(PhbSyeXafbe)pfY1NOhi`?a85?t3)9eA-9#BmIK2 zO&(xA^QR#Gf^Z*bJ7C@R9U|Prmfy?fkFovcDGs50Ya0kQ{1&*}J}}(XhyA$lKSS;E zfP?(6h(K#F!f!m4l>Q-(-&Xi0weKJ8-#NxHRA~KmYJW4uKTdZ$u5$anj&*eGxBP{a z{v@8S?G)s3BmBGc>r?}TK%{`aN)|+c+W-N4xYj^E9qqs4@e7)7u)wb$>5saV|87vf zuYtq!-Lvm!_*Ob%JC#An<`nBq>L-|_# z!zg}v@cY*LpMTQZKPcL7{Tiw?cuQ2|zXnvK(R~Wb{`p-+}KZW4mn%ut{|0RLHB=DC6{*u67 z68QgG0{@4;?>{N$|2t>=p9Az4o}bIhs@b4}Tgg`4;Z{Tcqcw zlKx*Q{EFvyQUV`;h4L@F`3~40=)>PBp}2QT_P%XHVMOzApuA|JM0_YU(SswaT5@PY1QN;4(xw0)KMRic1yk zr;Gso9Z)~({l~K34hzS6zspvT%)`+S*}T8u`^~%kTDZ^O;Qg_ze(W0ewVxl}FZ}lAmzF=s z@9QM~t@H1b(?3-I_TV=_eh=YKeEwlLUmtw!12>_6r^4TP{3m+;SE_!KI+9-?{W&f_ul={-|GeH0Aije6ryBiL>AzG0 z{{z#NM;v%w%$fsRB?_a3Gj^K1v#rUtYgdye+dA2{Cu3*3lWluyXWKa0b-$l+-ygA_ z^{n;g<^BHxPs-NMV&;M4#ic5F*D3zX{#fXa4Aq2MJxfpLa%Pr@4&QktoW+2<;6C=d z&gW~}Z%SxVi8DixW&uC750T_k+KEP$zJqJKJr(~3=t#oK{50-ag+sd^JF9$*d$(o? zWw!9j+i8^`aR*ABWiB}(Rv|NoPfvz^QF@RFy3t*#RWhDpK^CVIna`4% zPjP|tIQ$7Sk&m&=uHek;?;)lrBkY()K37?qrOagYW~R4JO}ofw?(-p2{u=3gTCSR>f}bLD z8-g(@Kh7|WJGl_O+877T-1r&be~LZ46}fw0BQ`p2?t_pWc)|S0KLsX~&>`hOPDeCN z2(6_R6%0FK`&ySJp^-e?Q}22e?|Dqfkvb@_n&6uiil}m_v(MG?rkX)F?@fhjNZqL1 z&IE{r=yHc0XehYE@1vzDjcZ7}oLQXsSunEds!|9aKVb3Z`g3MC(xJ4{*Jex0!BTQ`}g{kJB7VpgJy)C*^B%WAR2S$nD1=}iSR&{dSiMhh! zD%P$DE(NYcJC|3qBcx;w!I<)icqhg#)KzBSmjqwCoDkmHnLYk)8PJNh_apTkhaBGp z4V1v*H0;E=@d(4sTT?hNf6dZhuy1A8^(7klP8p+~xbva;?Q2$Quw*b*!KMeVtNEVQ zvxFS%mrtt9afbs*6^TKR=%%l;BnOowmVvv-5_ec4=e6OWiyZ2O719-YER50wazWfN zQh9ZV@|0+$Rx-V?3ppalO%2B9Dbymm^eg+topIR9O#QEg1Va*aIl6 zi+L?1mVu)<9b#K>FNHC)^~kQjVfPyKj+T}VHRgN0i)Y7yQXTQ4;vWaYn+1>ZaQGzl zc35<{nTZPF#VU&PsEJ=$vlnb;3=F!E4h2#Q_ql>A5{IjG7|6u%+bYM1LKt~$g@_yl zc!nUIfaAVU0c{80^Z6cLuS(fqv?BFlD;Komb7$%ka==>Kof%Tii@M#I8yIvZI7WQI zIw&!MhofzhQ4(0&oNl5_-e2DDh=u96*{oc3`^l9UIcgP69L4SKi)(D{mZ~%m-HVv) zQ^1j_7rhv=#$?OS^pGW%)bNyqW0LVbjM=t zQ3O*l>!*Dv!l|(oMj>hl=?QiA1jnwrkQSnrVY04(!?GfE`OtsZgbpWRL6jS-FewwX!IA=#v)s0K zp{DNn<~5Bkea|ZP>L1p7>aU|qf2Tn{cfO&n`pG1dsK%S)+BI<{TefT2xWx!c_ZcS2 zm?`Bhv+Qeh(6FS$(7``7$SyT2L6KUu0Cmd4UJ2pz2b#|BPvmeAG-7&bH8>@ep7e8g z^*=ysnVaOfiIbLOKqk$#m&XTRa*9?T>@Tj0%EEYSUu&%!ky%|EnhVIY_mP3yfLne2 z@LV%d)?gQ7NycSgajgvjp6VKT<=nXHTp~5&oX4cY@PQ=c-<&gS<1c`>z?6yxg%>C) zk(X^^ytEqzH`r&xC#Nc@YHTUJ^*f=jnELx-1EJKh3G7;7rWL>~%HEz(CT z8xtaj71qtXaj43RYl(JLs2QauPaIVAt=np{;~ZbOCvuhZ-Q8JT**;wh(GGgj$Dc!(l>9G}17asDon&C5Hw-f95<|n*;R(~}* zpU0rIj0%sK;FEy40AQS2kwDs0{bVk7Ir2g9acNdHq#A)2niRm%Bo4E}zB@Whn*><1 z_w{ZcK#J)ozvRA#i|Jg-pZ&rjoHBfmn9`meYZ+&HG?qLhqnQ@N>HN0=DFcCP!W}c0 z$w(ahFX|(0Hn$1Fw*U}uP#Msk|FWbgt`9ot>7huKPo&E2Wung?iRD^pvmfzby2@do zc0LjVjW&3us}0kn$;YdRtL0ntn>^|aH<308wsS6g9iih ze&3Rll~+p?_;$@K9>jp65x3Y7aYTS)of<-CRtLme|M?lx(f zETQxkIk9P5h=MCBAfiGqF8G^%1J~{z1ZPyMpcGgChTukqz90+!xyfEDHexLebM-^X z5~!|d57Y6tkXyJW-hvl8YPNMeo?aY8kT;hm8 z-PCvNB9Rkc7JBt2UZH%+p~dTSW{Gb#j^oK7(Z)34mQ?ixJvG7z!Lo4+_j#sCe-C8~ zP1U{MsH>7d{P|*4xkEgbPiM|JTs!?@JpTuo7OG5SlDQn;6^x?o)wZ(yxm%)`N;xAq3$Wv)K))j+7N+B z*{ZEBG|nYWuZXkmQ%E_fc!%dNxQ>RbW>dH&gCJa)5El^Jj%M>D>oi}9y0wRsf!8OI zya6|jJ1}DtAEpuAl@ZI6_1!_ksYf@{$B@Wk2kG5M&V%d4NxiiQy^4#cX+cp*eOVnF z+f_Gy&%9p63*C$A@T5+DQ7VN}l{xF0>ROYS1jF5ODpI5@8X#ebNL9*&8Fwwz-6H+w zP_ELfbs)!#3)c&R?yVe+d}{5-48_=}hhcMdOaP7AePOz|y{MZ(n02!Fn$xXoOLqWF@sg}O#m zGrY({F3utro?)a8cGvbUoK=pYrv+lAVbZT8x&0Os^WIe^^)`WX(e_)d{rQjUoQ-v* zK*F4<2Z(~r$raBS=CMY`+vqqdtn*-fdh>l&rnX^oJ>2EBb1+G>KoXqxLKQ9;kwtiQ zS}Q@%&*jZsj=}1J4Ic+XcB7h3NI8odW|FWQK%+Zv>4b)dqWjh-Ru!yXnj~C2!9p+f zs(d`tHtk2cHfAZgy#$k)%Y07IacdJ}^j0fG5N4B=dzAXBT&`>mdki2}xAeZ$@3VOX8dHQOhb61ipf*t`LOf*=eFAvR+^j+HKfz?+%*dE)XpmHtQ_y$DBf zs~Cu(zkP8h_>|eRsL(2H%esy{v zD46S#Dm^f-o6mm3#2|caIOF!wM#kr?u zbPQ&PTS_IaIz4thA&o zkl0}GL>UU?T{V-lWv!>dET_*3+5sZmFiPF8TlCw;JMYyVNnWbZZ8=YNXQsSJpg#Z{ zmV2YV(E~uW)Xu^dt_-0%0U{*mAvOIm2qAtuHDJ?E7zYNNuiW_%xQIG)pvToIh8qMX z8ms{D!N7Dxht}>Afxi`0gD$;CIn;v8Xq+CUXSA){<-rHbW55Cjb`(DV6$jGxz}`w5 zZot@bN%!O803EB$wqL$$e0Uz5{z9`bZ*Kn}8cR=YY<`jFyh>|?2W2bchBGed$muuk zAobDli-~W9^KGZ8{bOwOL#*oLFk^1^HuH{=F)5D`241jfa*VWyJ`ofh`1~5q)*n() zC=0iRoRv|7g`=p|zWy{PLg0*RbkMr~9d*Tbj@#sg?E4{K6rX?{GI?lOgx;PPbi$MgV}G?qiU7>-z2#)_O~K%1{tT=)@}W<2 zTg?OFJ`Evj$9ux}hC)is#0zvlkfOWSZlOFw>=!FP1#6blp<+u?+60u9uw$5k4@M|b*thG@+NE0*&nUZ|j>njO+!MqYKQ2SI zPiPRE-OjIw;^kPQd6>W-q&rs5sy{@MD1@-X*OM3{R>5EiAT-vesInOg$Ck_yCI(>` zEPo1%8WO9SyAC8t2>5$ED+aEasZv1&NevM%qAyXlcj?(AHQ-<1p^rv@7elaE%QCTI ztA#jOju?h+<@!AC1ah{Kfz!y)#Tfo>hZdBU*^@d|vWe&X_1=A+8pUiOkdIa`{yPIJ zS$?E@w4k6FpoQ$ya+Xh>lGhCxT4EWi;(?y+_Fg>qa0VGva#wbMqeL9M3hv=8d`(?T zl~=N3biG~mIlg= z>;m>HHcF?B+cuvYx?!Li`~G`%+8-@_Em+{PJT%}W(OK+VtC)|u^L6}AlN#Lf7DZP^ zL47W<;%GOGK&C4@_lh$>hrMhbi)M^@cT+zOfX8hyezbZka~p=HqH2Mz z?*y?@_Y|E3D$ba@M&x`p6w?g@jB9A6!)GuKk9H4)%UZzru_YEJR}SCAO*&euFG4AB z;@>O0MJPCIWX$@#*)cnfTPwGN-YgNsF5X)rAB{b^99;l_7fZEnt7CppTj33xwTx2Nc>A@BZgJDG)g+vt&&Fs;fD#qIe3Y%Vdc`6MOE+rs zWCfT4E`FQTeTf6$rw}dZKyN}7pYOe5 zJKa)fg7MzE_*V=|uK5<)NhqHeHAdJFD(-Dz zfDwhO_ps6WVIL#f++|CiTNpk~x-Oj-Q0`U4n|n*!OhIjiM<6PW6%NpBWH2K6L1n

    `gGh}-c!8NgwH+1mIU-2bEODh z$$8gq7nO|wO@Jm{?cXePRSrkr|uYFE=ZSQu9%qRB$m5{x47>fr(uC%U=c>Y&&N z5j3P&+0wt-=$|w4eT2bp!!nr8?aeeyllA9-PQSD31p@62*ej;CKojSm2>x=D`Gf42 zk*GW_O55l3?`i{aJBzKzP}l47FqLpgM;S2{5ldg+zOKza6D_ zE4FF(YWX5XzsO56 zxl`BNQq1VOnW}@7j!)B1 zWEqdr0-vDFUGo@w9=As|k%JTtBEe`gz$_x*Fqs(7isG53BkBIuJVd-gple8$ib2a$ zT3gS5pg~9|M3&iGkn;FqF=Kn>^k60!L~+wWK*FqTa*u&G)yq<71Q3aL2U`SDB`r`0 zk){DGn$*#}j+_pUtCIzZ3uy)#k@Hn=vh7mP?BEtgyeBCegtN*CP>};c;4#^dz%4RB&#lpJoDjabuhd@q zhE6_1kCmkNUSH0Rqs#A>;P<+X*2sO;GolRWX>~Vnk;6!!jQ*{5RB~zi_<2;_%2dY5 z(scD$#*hSE5VEhqvT{XnOO~?OZt8A8zSlE>MN%r|Hi~S+nkjJ-7}61>%rUKm`_@ab zZt%^FvS5bHNqB1E!i;pE4VR$yEhN4^5fJfh-2yORX!@8u8q^tBLZFh{k+dyQEk~vyC3v}coo&W?+EMOw1ZsDx}Wu`PwbI>x#sp&g2pu?x|JJ|4wQ~0X1jEq z{d8J;3DZ$Y$vBs}4I3(TchZ$ZDR$IoLtLzqi7+RouMel2EmwB~)Y<8tWL`C{EdMS^-kM%vF{64{M{lumfxT7d75@wk9Ab|5jW13`@o#c+E zF;+-iZTsZn>cJ**M0@NV6(OQqTBnZ}YS4_fCXKsUMf*D7OQM;8xTA{7PQk-Is}=wk z!$~!~ADnWCQdGNqonVu^*4sdyswsjzU=7RS~ ztLxrVn+cRop(+kH)2C&5cC^_Z&!f;j>R6L#*|`xun$4iDq7#16kGrq*xJeK3I}^oV z4slDVkKjCXzwf@H7n(J__;xm?S0#9ai zx?jjFk~`G(+?M{TqzK)14PiF9Fg}g1x8`jyovX#ULLI`%6-C+NkLo_Iq?K=49L80& z?qGl=?f{4laYKg&HN;1OoM{Yen5+hOWvyMSU}P6?h*`^a87BufWI zI68znl%VrLl~(e3gF(E5wp_FiC((7;@brQx|CJ z8~{v%k`m<5iWF%6OqS4)36}D_yr#muh1A`#U5HB&@uar~XK!I`&8nQhvJy+sje}8E zN-ddYa%?HS&n1%p^OC>UdvyKd6!GEC1QB31@ZtRu+sewbPXtJ!L%(>-)r2Oe{xUwj z=m-?$Ac7lpZlIQ(InXAJ4|^!C&St?0F>n+=={p{n+%@i%rS|7Eq(;g3CY;#H^mQ5` zFsy3eU8L#MS5y*6Fu@Yx&pR^!BT8Q6*eUPlw)QgBDf?K=y4M$vwhBn?AOZ#2`ChL3!E$~7@rwPBjjvG%Gy*)`D4XSja4rc3vMDC zZwP7zLXX67Z%D| zheM;O*o>Of!h_`)vKl3fqeP4hifT%&H8C&iudwq5`R56Np?GS{b2`rLQyJ9Q0Fg)G znTF=BQ@6B0WM1nw0O2p7G5WVTA^t*D8_X5GY1a$7OY?e~V^yR=91<3)f7H~&Sq)Kr@kwSV)nS!GARY13<_RI-)B#Zs@wJ;a1j$P9d+PoDFyA!+Zi{^C@<~&` zW%l>8HjC_xXGcU<){ci({&<*>ghiojBuIHcoq z1R=B(H=`|80y&K#KsGDZYUYbp$@O>;+~z}8?WCoI3J^^@e9c+7U(&Cf+=On`6~)(1 ztBfTq|8(gx){aKoAJuH~%a7Ie#I$@RVG1j!pflM(d zZL>Y-PyW9zOog9HF|lR@1CKb}yxSakO#`2!qvCAH+zU_zqRYkw=ERKl598k``=mw< zxUV;bskEec=WiBMS7AxpP`?a?)>6Z8HK*Qf!)OMFzN;;0H8m35r>!-i&#@bcR)zc< zh!r-nubt96MU@URte-ht9j$v0tHsya`@Y80BND<~gdlnMZUzTgFdn-6+mjyL9~1?k zYb8AWX!}0+-OE*Xm`yFQtSgwSm~!kOb@(<3C-9V8H67^ezU(&fUNfGrnP$gOxyZy)*#vAc{P1sZQ|tA-+G1mM%lu8L#++Is*B<%W zH~Eo};yM4ZQZ}N;%HBm3>dl@mg^MO~n?Svpmj`gt>X&WJb*LH&5NK(|u^sq)cC1{i zMybzSH?qL(p*MN4=Z5)0JGWp7!|~OAMCsZX>A7msgDnvS!ZT!KT)q5S#6KDgvAJ~Q z7o{2zK*Rz+-gWEoyYMx>;szImE^h8hS+ z@Y(E$$F>;kBhw`zzVfzd{D%vK_bP0*wqFES$>_;dhrF~^JT{VyGGSRSPqn8#*iJQC z%Q>TG;k22ow)bQ6st+Rh$8)fk1U($1=9GmiDkELTz(8&-erxEFiwmKrm=t{KSKhL? zR^yAVzL(RFJyXM@u+UuV155bUcZ%K)P}$ynxo`SPyZI( zmRt(G*3+I;kKhzbyY26qtES=F7PsPH6SEWirRjm>vcgF`|J@S-nG3rYZA|4>gb`Tc zb!wk#35^aoe%*=8MCw$y@{0|ZJ1eUP0n9z07?)9C>p2%T5$BKYc>u<$E z?-|ux_A4UrvAjehri67}k>Z@`v-$Pxf$?B4rN&sRkqE9+5USNip^WRmF+T%sU;3jc zQYaZT*u}=jN9RhJCW229duXVXP4@72^H*x?O6b6PBDKTbe0e`;Eg?Y)fYQ#zTp&Aq zeNq$3ZX(^eQ<)|pQL8SYaPjalIG7g4av^&g4E;D3T^`vgKHdE#W~VmF;dX--e@k1H zmpSvuzihtlqPHsLi!(-)8=c`C8;egwYf_#hp&3taogF9Ng)hXi7=!cfV-z-nzaK0&py~xF;J2ot-OLx)oO;GOroMg~_Lz$%JKG%w;vE z#WtKzb&TWo@lSWbY)~wk$I|LDrbRp51POiNiR=Ko`}K@B6zn^;z*|$oQx{2{bPbK} zRYN!-qbTQHRmYT6#04ef%aWUsNRwrqO${OMyu(dWSy{j7Xo9rfTyvF2>nNMK1iE9V z6E<}BO~Z#K3)9ZIsg^cb@)Q{@6LizLp+UIKzI1y5s|{pDMQ6Np$vjPmC$Y~0NZ==R zDIz6T;w;Y~3GJYDCYF$ByaqIzUw)z3Tl$E^QEMDMGFS-%3vELsV+~_|AZ-cQ<$)#q zjnK0zFzPe4cRS(0+aM9LDTbhLT=xr4;e#+|Z zF8Y0YUW^0n#2RaWx>-2{)MTsAz7k!(JCt$RiXVSRqS%_uLi` zrNm;2|D8PaVpy-jS(`u0MJ>mg%= zQ2dBO440z>ybU}WyNCHa9ImYF8yW)4eK=+IfV)#<**wekn9w#c`2t-k_1P_GKU|kf zpkE76@_AJuJtnJ#%iB4bFB+Q$7OmxG%1|N#+|tm$&(~AOqn=;3WC}({P&Rb~h!M?d z(}_qgihqgR6v}}sGw-A{v`h4N4Z-C5l#;tg8X2&YYFF$+)fdCa7;Sqo)~`p{h*z}; zu#4kxk-iKby-e|;Jotezd01(Whp|@UiCJL@bf~f45Ho8MbcHxDb$>Wg2pc!6=5Hs~ zUBl^K+6-Y%c~~2I3L6ea&Bm;61E6|Tb6j&Y=uR?t12%a6rGzu_ko^eOEH*Nv#Ggcb z*ZbI^hom0hY2bGd3!i7!Dwa`zq&>Le?Cpq(Du8VZi~qUF#1;N4CDRqNFKO zaa!=TRGR{5Rn&!9zEeJ}Y!Y#=g=C_y?{7us$m3r0joooHbe4ax7t*WU89*B5ye z3JI&NtA-L$|Y;!>km_2%yW|NjkAcc(%D>Y&`TK)3cN}?d8F^66ax8>{m-k1 zFGlXh>k+k59gndCPP|y*QF^DW`g3P zz54FdI-a@YCLoMBr%?O<89V>ah-R7(CZ2LeZ#Vt|v(IU)n;ofl;aN4@P^;Mf$to+Y zDy^w1Dk^Fm+J^mU-;8a48idmyqR7F-%BL6A_b45{&KN#P6A0n(S!9mf6{*7Wzx?Mm zgsN5_WhhvYgP^#2@gVmunqyhTQMH zL9EwVzi#rS&d4OZFTFWvLAhwHuFA5ak^;0(JvPU`GP{=N{*86j5Mh!x4;jStUy^HM ztfB|A+7J)?L`T&*nb(i2KqfAC_tHBMZTPPWQC2c8EMr5N@j2jb+37Qa)yl zzz?;(`8mQqW!?Py500T0oSIaa$~)iZ`dE2%7$>lD#;y;ia> zJG&`z^oG24K$^c0zdPojsxnNbCQ2n>cP;ayDFZ1)WyelSQMkd)9=V{^~yy zvk2@U>e+((sj~-}hm)w);!QCahsLnEfKnV50;rWbBQJpUEf8YluROfxbb@>k0hf_Ve@AG5J&->Eykh6xnMwHYW{NtNZ!^0kwsr7nyX!e?ySXZsC*F z1u5Cnox_lMsi4 z$YeBd3vKDU(|g^q5A`X9rpX*GAN#teeDA)&l zjTf}SeSK#1%p~Ux+-2wTg{{EF>u?mic&|r;_lI%DVmdO$z?}O>y4{s~qySx`zW9+Q z^8zHLKO$8O*a*dpd3}TMa-I0o;D0(u4m22tVZ_Q~z8aZ`(qrEqje8SQUrsRp63I?! z-hXJqA3HD=(x%XnYI$ncHqM+>L)4ipC?@$r{HCJQjCsBqR6OEM{<4IIDM)5rCkg(o zSBjDxsiR$KT?c*B&v%qfJ;-!?TLbOIL?V~}F8=E4F6V?D7D2+0%dGU-s$n0J-G0G4 zvWiV$s=@8_x-mnZ@tr-UIht$r`-+szaZ|%M0)K+0l%t zj4a2t6ZVA5nBEE&vmPvPV9*!BN0>~`Z!@1It7@sy6I*)7idUkzr@@PByxbP*wA^(z zKQa7^<~iA|jwxkwxnffWfa;IT!!o8z{EU545KPl;V&dZaVUJ@6~5qHlP#gH4d5EjY+b{a&*yMxg#2-dAty1z=gvXXv>CZS*AM5S29PB5a;aUq*!2@W&WCR? zi>T_nikg(+jSAiE=3qaC2)Y1b+bTQQl?>i9Yv7pXC}8`D`^#G!LP~FujoOPTwBpQA z{=5A3CO)nBJ(f5S3_Bk=S12o&VrtffFgDoGf+)NbdidAn@q4v7TRk-4BufkggdOtF zHWj`(o2C^}JopWT-p*YkZqp_FZC1GdTnpD#WNb0MtB@v=`4X#rqnh>?HhGyS%Tw}7 z2BfLV>1nb;sr~C5^KejWr)ufj668!aGWh6_7Qi=oMKktLJtsrf!>) zGMe-6J_cev2jwr2IsfN3kM9oBxd~JU1210AC%~Sf7pt98IS5DoZ#Y%ad`R4X^*A@6^#keI^R&F8+O z>7-L>44#%aC9+ewTLUNq>zs}}8F=bKy$GL%K|HnjRXhn$C#0w)INds%sxIyv zta8kAwkP8@#PnKO2&w+TvlO89Xtmw5l$qvX1&iU7NBkcQB4pz`e6eL=8)1h(j&&i1 zf3y0D`ci(BY=T4n^FGlh!!Iab& zM-bl7)n+!0X6&b3R^oo7vl*I$t&=I0f}UOV=a$Ra+!eDSQ+$a~k8m}!+v`1g@rT_u zd8WTtay~<0z5rJ9D=Et_x2X?q9rop+MXTJ=k`3a9^>C^4%dX-NwjY>mory+Q)Rk2h z{J#A4cO;zhebCn8r@xv?2G6?z)090Y95e zKX6bUn4uB5yG_{2R=*m59x1s8$uxv~_qKzscT?LpMU6jy+{zg!N+?F^W!gh*4a8`$ z(?WoA=t%QVE=!`(8JUTK6&;#|P)|GKj@6{|bw$1Q!=LJ%6TkXyT&QhHIqQA0TcS$= zhNFx`or(W*NuZ$VkzDSrQ%jM>5&W|l{%cM8$8Kp-`|6Srm#ePLHXu?;k`ya|5Z+KU zec>-H1{i~)k?e&Bi?)ID_&A=mQ+w9se|sgjGw)*GUsb~cng(BPv3RXr-vb@UHxk4m z_4l8i{=6-_jU-rg%@;n?HTIL_WE?0lW-7i@{=XgP&?dwg!hn!}Ju$_W8V>?Caepcu z-Z}k!URtm2sB9plu%vJRy`FU%bbwBB>5TOFSm;6Oh7Crc!k7TVXAihFNaQYSl7PFGaaA5McG8qq~E#T%+wn+(V`v>K4AUkSC!Wa)w_nfXJJsE@`j05e$L>4TO?N)J<`xtK6(@MXmYO`8$14J zh+feB18DzJelh-oRcn2zOGJ|{Gi9_)2qA+RNGS}U8=nIy0<=(Q8c%nCHC^2G-hY7l z$dm${eI)$`iWpP*tRiRD$=g;J2=|sJ8Og8UQD{FSTjezS}k~nQYTlQU~Wn-QbtISUni{Rfh zUsr?_bX7>wEpfB4nJMX&bl?9H`2+H&@xrR09Ha}a&La2=&7-ykmXubs540SH%$hfA zQrCp9qs%QsS9SOXA@T>^^s!w*yjB$`U%szub-D;bqR@>64y~lxMfSdtZpj&)6G$QV z=L&%&Q*-pa|H(mwx>RzDXXn#IE*i_E1q&0jOiwS#YH!7G5aN&wmJCaJ{6cnxPB7pT zWw50OHQ`17zWz`0V0Qt9mUq1Q;|VrS{xFF#HuaPzp0Ds`OK%Dt{i{M2AMJWN1YZck zf4o+4*W%76mx?HOlYsCv3=AU-$e7ab{z6u1iRPV9P|9pQ|3K`asiZ}2#E;GS68 zy!SFMYbag0L#n^Luh9{$?|xTo?;ViDjYx zrq`p}g%$^7en@OdOfp(xrax}S&fc;tOk^8!*vW)@BS~UVkpXnSMRk& z;RsJvxUj^>uz$YZSeO?;PIvQvcY7l~SzJ{5%jSpnYW!|AUVEq=QVqQhcCFBI6*}G< zLgbp~t+d0G1sQ=;gt3EGD<1E1Qnm`#Yy3%!Uf0*2C zTI#!l6gx~q;y(x@9)$yAF7luZ&Vn%vy)Jj)=6l6pcVi6v@n?qB#CV9P1cLL`zQG?l z+-_s*A?HAsljd4&RIdWU-n&iK7ewB_+4+=;F&aI8k|?d$4Rh}8TV~qV7ONuH(W9f- zQ*>U6W$^`dUM7n1hGKB5C@sf4sKTT5<3JkLX7yhx0uJ}W?q81Vg>s}E3k(I6t7grR zy>);75>hp;Kos}3(Nc93Q#Dn`?bAyM7@<9fklyDlbUs>v5OB7Z@h1iUH{Db&ZpjqB z;x-h)%>s~G$JAbsnN8q^g7-^icSqlQ_}t&Et(S7g?vB(F(`;PL788>$hi>fQt$PN(J}}r*b09_) z6EP+0(Qef5)Thv+lpz+K(T*HNeq3=o0HZ%qon>qq1W>2+1>Bkq?eg!FMmHf7GXa0B z5*o8dkm?D{Z^^w*N72kjJMcpOk^cI@`0sHw)*4Nr+%{4kj5u(&a>JF-$?_xwBG+ou zt5ObSnS*9BxFK6(?ct1s5RfqXdD(y+4DOj;BL44Evn%O`s99Sj{7|)>;O;(0%mb%% zC1El_83JqxaC^z>ZYxtW$KbO@k0*yOe4_kG4ac&RcCKQSJ#7wjVt$r>YJdhcr^J%@ z0s~jMIl4KVE~R^;jrW5MM3FGtmtyxXdb}F9Pw3R^rKz=8hI2_nrQme6ZIQRA-aAfq z149@W;nd+;&_+$y7NCq{glaLP-SBi!+xv&y+uJ*Zu$v<;1&7YKZehnX(IfULqWSKV z{NvQu+R&T9!Fm&7SmNT)^T#jnEXi&~A2pelap1xnT>F_jTuaJ%*PGZGvurZ3RzXjc zAf@YH58p%3Au{rOYl5(gCJ04d7mvKC$xE?DT$Ap>;^Q z-29T*3a+yGJ~>im(1^SmJdyZ3p;^-p#s5Ya!c^O3%l0c7pZt+VtU0Qk3z%;dJEBm} zCYNm-nYp^Y9g;NI5Ygl@iWR6Pr{uG30*&!u5B^cKEY|aEC3Hu3;=E@6qdD?p&&#rJ z-sm?s?*!n;a-O`F?l8@2RHy|G3)dx%E5O~Z>%2z>1}gN`Ef!fuSI~rTwgB(RP#_#7 z$LOMnWHl@9O(anZjO?K9uH(}8kUH`6%w^?ATe37?0>j+%DueQw^OU~L;yjCip45HU z#Bl4f#an)mcNi1texq76kA7@INVgRG4eA7yAG?bEpZi2wbK-e|#{ayWh!oYVL$|w+ z9$b~HbX>==_7A1#I9Ai0+>;LurqEVr=_%a~UJlxp?-@-9ELnNi7DWbEp}(k1gv1Gt za0b1t8j6?SPvET$oYI4tu__(=8tR-kC}d%xQX%^Mf`rP>nF1czgqCz-T_-rBg_+!O zml!9qe^dl1Z0XFXwaXC**WYLcBP57g#^mMt?2?Z^L2`bJDF|kjjEtcw=ZHL(f0z~j z3Yfwgvgn$^o&s*t^2Ii&{hL2T#g$qX)OKY%E<0<6w=Tn;JQ;2k)Kpe*xA_CKT%Q>e z)ZJ14`XR;oWMi5*j1OYDXa}r)#U<;@C2_&{+g(CS2ISNeQZfzCqx?$v```R7bu7Me zDKW#auwzp(gN7fIwE!Vwl!(x59|vYP*dfy7=ZO9UQv1ov978$p`mKtCE%tni1`6ix z#8htRz%M7QSF>`lVp!`&KpvjzzkGNo2I1bqV4JrOMH@lX z7@yYUatVue zHMz_ezD%k-CHuud2{9z6H@m^W{TSlCE^5l9!%k~4>Ej(4gnLl5{NrA|7_W2m>tl|T zjpxKMP^Y)jt;$P}G`{j9?36@ssoL2+{I4zXkAv)^5?xZPG@bv_Vp3zmMk$huB`5xs zM*o`wsS1QFEsE%0d!)su4H@ZDVTRM1miYplqhh=Rz6@g7WELBqYd=6DHgB`SnTllW zEDVqQ*E2hEbfHs$n0I;5d^)ohUO-D@BLp^q1WRr-K7|V$m+~L;_B^iB3;}fb!HYhQ zIz6;I6Gu5u8&A{f-$$RfjyG*Rvu0KC$)XYO@B5^S8EK8CF3s7h4n%#!)9=w(+O5_z zyt>}!t6Xs$nMR^(b2*Y>l{N+hPANAP|87VWeLyiw&qw_GZ4`xoKYt*b(87sPL3GNK z$1V-~#pB++eBveh$_)x_7vOR~?5-WtM^hQ6RIxc6oU?ACwIN1R-rLzc@9m+<47Z%% z2u9jcJ7JyN%}+vXT##y1 zmc@3Tab@#||Nq+i4zMPdtzDENO^^HzlMG%zUd+)v1 z0HFm)LP-K7BoIOgy;uWO%luI zY}IqPX}RMcY4n^Gy09Q6Rl3l>uk_r3Sk!`x$^&CRj)x49zP`bawF^*QWwdtmxGsy2 z9!;Tw{x@xuwk1+MTs>C8;xc>l`gU#D1(PkGPJU>=>o=QkZEmlPkiNV)7>J;PSsluf zq`DUEJkWA@?(E^DQ4@4OolrGnb<$8yaw&*jF17*G`TfwIxbUUdd5*l_9@euvV1$L^@^DXyuw&GgDWN zYp@B=8J$0oSo!$gWen?CrRx^v{Nf`frxezWdYm&Ak4j~uwlgFKd4F7XhfeMiPaIh6 z%84&4e7=CFGt_sov$lnOmRdimI4!LbxMi8e$|-e7g^6liVS6HhiFTX6ANDDl&SzEL zEoz7fqdl{DNb|BrLB@WTXp6mP$DbhtZ?C}u1KO=WCv%!Hy4@{maXr_TC~k8*4`Sd| zeb3QQ=%MfZ;Fkyet zs^M1_8dIIWAS#%1WW!d;dX2Tu7VWl54({w^jd8v@C=d}5(y7GVr0%#9<{_ypBFZ!B z$6h;yRZ*CNr+sQ`_s`nSE9)OR_ol)Uwu3ZxL&W!V?u)r1zuUwOdgCT*y=-q-_*%!2 zTnDlNlp6ZI# z`@GbLK5XcmpF}T9YVUmvIh+zSFH@LPb&FkT%E^t>kK2o>du6-5If986b)L{Y`XqV3 z){d^ESDDh)fzsXjA9tvIF-zj$TFJX`MDC2h>~=#;fTrqY@(JzrV)(SujjO&F=%?m- zv9wL1s|!*Z-S3VnEP6Gx?m9HZX)+=r(sCn=F#>Cmg2 z?Sca+MuG|hY%z=cOmsVDe&}{KxxvR;|KoM;$7(lqMK|uHp1$rOVaKENP*H$*@|GC8 z-}PL!)HEKn)>v%&#q&RK3ZQB&2SDga^)uBw3;-(aRY&GddT^9a-B>yEtleW%BeeCPh7MU0#9?ZsO+DtpU^?qWU| z)5!l;$8ZjEZ%&2Y<17z8f6PY@7NSqOMp92yXY|DT-_Y3k@kn5#0Iiac?ws8T#pwgP zjyEiVilxV|+tjkt3fwD7W<}ED2s!UC@>@O&!YPk=|R-Bi}w4 zC4F^2+ar0oiX`KLAO_A{^ZnstI@Eh}6>`}>=<(7ngTCg@XD@e?9H?O-aXnJg`+#h53?#|A)6|>m{l!;V5}F4%@3^U*T3UXi zYP!HDmXR|jbbx&%_OrkAQT~=AsU{b)41F%7#c`)4#GX^nth90tJe_+6?*8nE!#<@h zA#;wKr6&%^Z-ID;doo{GFg#R2@0`oxr0nCAX6RJkw&x+))_CvHaYxAj+W!6HH@G`Q zT`h0MK1UDw!T2uRgEK40rHUuL!#zL$T*wzQc@?ttli)KavRb)q#k*9^MvRJ6?bthq zjU02_S*g45*)s$C@%wl4a@gopF)TrZjMS@M)`|9Rh2B+rL#6Qgh0yRP>7!X%ah(3k z*)%0~DBI%N3_JfZ0kgpfm>QR>RVpLDufTxD9U+F{Ey_)djAs81Mr zUoKHqR1m*3fINH4wj_Z2GM5>1ez#+rb<+xCZq*U!7?-qBQ&wCSB1ye_pBpdN!E&n-I61nP%`(^j@%v9>?!dyesx2%FM zVbx7|rq^z-oTurFgJBHVJ6nr~o_AcPJ1{LcZV-3to~aSHHuL4fJzc4LpQ_(leL~D( zzjMb~FU)dpiP_7keKz7v3gZ#fIl58t5ABX$5@a+Ryf1AX?{Uv~Mfs8JiQCPu0zTwo zPi9)=aI7$-CS1JM_)dG$x~oQplYo`>C(@ zX5lqmb#I9aXYWgf6K*fH_KXYWM=EP9JC*y;&gRAJ%U$K(n{XLM-C3oz>@Et|{FoPc z?h#91p9dd@ZZv()#LMEGs?ZN-FFInXAn%e;0)Y(ff{)gULyRHnk8c{at~NQGZZ(}Z z90^lkGr~z85^;h@jq4fMiM%Z=S($A&5Yk=L9hA2GxIJlWXVH4+(1$a3H46I{BO+>g zw+mai_V_CF_&+S_DKy`G#(~)=d0tuY*`x(d{Ebog@EwIP`URFy5$mlzS-W;FNn8(j zXXO=1blR ztma>=!PPxMm{)L@+>@60!d-86Db4B?cTKn`p<1cq(m5md$vl}1u^afY;%r`DsYg7z z+oCQVsHzwgcI0v}{!rYFn%pU_&n=|=pje+t;VsIto`tqYH6XCncadECa6~@dV&-1V zDe{Z`5PI|@^IO?Wm3Lf*mmHyACYlif$bb9wG)9rJip0f5OPgxYv zYj5yp+^^nDU=+igT3$zX*K9#{CufP|IjTuby=T&sXqqrM(PM%)gRg5+8KyiRGVC)# z>K(m*g-IlUT~1J^qCtXi8<}zP7NXhn%4cdN-l)!z-S6FG@960^NzEnIZ&1aPWgw|% zRlmsPe~!lGL}pF3f;{`0koOp;-s3(AOTKH!3t8S=x7-shJ&qp`j^j|#NO(=FeW%gR znW3ZdwLGJ(i&64>nwQXpc+^6gmPbl_#M_|Jk#S}F#V0#c1@-Rw#LC;Zx@{zdPcl{p zJs2=XWD8iiJX!ei&ITs4gSv*WfP;_S+K3~XyuWt4=1E{j0^#;H%^fZus1rnAc)Yy3 zp7q(2bIyzFjl^7!xe+0;3RaVFlUGLN{-MJQ%4eU};=CY9BUJ)?g&14gWFNT8$HDcw z=ayF5^y^8aP9l|Z>=zC`m|o*_w65pL7F4J9kuQ;b#%KDFsxSRiYuwb%9O^t7FI%in zovvdTNFz~`*%PTZRW%6N-fVF9H9OzKOI7QuMEJ>|zKdC6jlyMj+VL<5J~5J5=h=J* zOS1!if@yu;;PD#~R@?NTiP-e}t5BSc#+~=?AGeA(hknLC^^C60X7!eKJFt_u z_^9CMw#nr=ElYRHeaF@vp4xd*b#zGWI5}5t0DD&`yLE@HARp- z)Is&jr#QTU3!-<8#c*iD{7zt*eU>=$)&vWfPW*PJ`n)Vdo6Z%NQ{q?q?M|OKM0$8&L|A_U**!1}Z3y%FJh@8Bwl^y9E9NH#>0qn}GECs3DE|S5 zY*fvv<26mNh9c2vAB3(jb*Tw=Po-=%t2?N<=cZk=MQR z#9nE)A@S+6*;nz8Z?T>$j=J0EyGwv~x2QBNr%k@l62|0Sf@4Slvk>Rol{0r(W*fs_ ztf|ZSPJUeYVjnieqLo|konrW)H$Q&)$jpA$b6(Gx;x$d=3vXWLd6>H@Sw*teu3yu_ zddZF(M%N=dQiS)0nhqX)BUmRrTr)A0fG+Cmx!)YHGu-6MND$49AZy4|#^}lhi2WTY zuH?}(UkV-??>sfd@V@-KM0upfNVmwn8y}C~om6>Xx}`3Bqr}~JI%f$H>2t7XNbgvS6i|c4t2b_Wi@y4~D@Oc%pH=MV)?l2WRh$jn%(_Xc}>Q9CEn%g;- zYE3jX92S_Pxv+)KFU5p>PjtXDURzduq;o3S&I0RXeOBQ533pOrPjTZ*^!%Zho}ZfA z#Gh?F(=HJXt9Mz~G`(hScE9u3tC`8?uSZ>*viIohLgnf(PA9-I?;NZbsQhOYwPn< z%c-=qIL3nbvR1ihpj2!GB`ee2@Ds@W7wrU$Ml`4s`U6S?1{!*{=LRpYAn$6QuJvz@ zEP3r2?fDdcXnd3{h{|h5m>~<}oFS{Tz?${$xOZ_Y8r5E#=%Op~5*caCJr<+6QlkGZ zTlY=L1y)j#r{%fJHcrvv> zd#YHDoF0-0`)o-#|14Z~Cj0>WRHuM#a#c~-nJibBj*^Z5`hX%S`1 zj8PHyjV|I4JUt+llk27|S6LUng{qflrx=G!H7cUK1j-d2#4k(QF21SB~%Eh8%@ub{ZJ z9CQl^pr@>~xaeC$U;AD_d6%0@`3=zAJkT_yWx!v4ZgysRD$tYsT?@Fg$t#7ng5vU; z#MAij*5z; zNK|xeLULMGZb1=+rt&ICLt9thz{vQ-#2ATy?LlMu2*VSz4<0>wxG*z0I)v}-YO62L zO^)z$yj1QXy>x{g6B@|B>+ue&u&M7XZ5LH@MSySK8 zP+wbBR#IGCQdUt>QC?bHke8jAmJ}Bm5^&G+&K)nG`+oib0f9jwq2ZA+2`QQR#pM(W zf`9>QYHos77o|tuv%6qo``vd=s+sbJElDTOaL^H@z2~ngxa@udo~fZKwtHJgtlj&t16{7#Ww8 zlA4~8m7SH55*HEd?@Iv_7#JKH5fh(~5E~T{9vPdIky}_=Q4LJGuC}JCyeK>Fu0H=< zWht5eQdAinJ4hTHz+<~%l^LN|mDtAOgwG`Bl+@HiN;6}_0{w1XKFR{uTzL~lVv*K0 zv-5~3!hPV8)wj9r7Z~907Z4hgoRN_ndCx*!OklT!_Eo=#cwjHdDQOw$DKUZ07fxv# znA$qn+gMoGINWr-am~iY!6P6nIx#J`6w=tzTwhgMQVyxF$qCZ>5-)Wm^_`qUbYUZ! zFo3B~c9eJ?&$z4WuuBB2i#Rb*ei_ak0||dv7Eb!~Wv*1dTnEh}ecB_v`wja(`QvBp zyn{o7{CxaEqT&*gk`lo;4lT}Ky5dNtWBu$NU%TUYD2mcH>h zL#<;f>L-oN?OeP9A`-GnAoY;ql+Zhl*KJMJxG;LbBwP%Gadc%z52D2H5S*Q+l*cNm zwyl-)Y|92pZM$U|yrt0pKyakpLF+Ph4X3EQ%IeB`{5y`l;!-N-Zv}_?yWjK)i3suc z3yn`riVV2xdE4=_v5}eGjT_gjt?k|2EoC2{zqo_D_#Fo?J1ZLxAIG-!g%LcK_>6I{ zlAejRYe;%^YfDLp<~Bm#b4Ip}{Fco0?NnFd)51*!;9T;O=7wrk8NIVpgKP9m5AN@n z0KWzDT1cL^hH9}!>P}=#Qd!UZvxTwo=QP{5Z`;Ntqi15MdFrZvu*ap-SNy_)JUxP9 zVgjz{pFC@7ZlbF!&b#eJUxu8kpEm7tcV^g9o!oi?|% zx7OLcP!N^X`IKt4sDPe_dS_t5Rbo)nlX)VtIMgE^`FLevig6q9%)^YJ85N#a&0GwK z7zl%k$vHzyzu4sDjMA2#k%h&_Q{&4_f(JzQDH_|DYAUK5>MBU;1*GRB_}{QHklL~F z?(=GgL$v!gk%KaasFqsgRkvkFkl6T`nD;4gMnzH!VcCzzO>v0|tV6t1`FPKywKvC~ z-$$S|3~7qw+t*w($*?{+_;mfngC#0D>MvWje}ssdmsr$yrW{!&lZyp+X7v|FiuVc1 z39(B#M1!PcZ zt$VP)YSx=)yV78V*LJ;w;=jaYsyZ9)KnFbd64_Sg{@PVn`|9&sjqTwa3A>-{iO;c` zCtXFYEzc}(7ZTaU%P%Ov&b)m)4;Ss@;n|l`F3>E zN=o#-fnCm7SNDgNyni{*{j@=qD1$mj7z#|maz>qB^X~iRq z!UuM9GAzW-@{^oPA=!S%KVOH9^1QXv4x&!9@xD@A7Hzyrpm9#Cg!PO*Sfyg(72dOp zf3Jkp9u}&tJNN}yUlFlm6R47;nCP@xBs48N*m3_LeEID_*HF6bT{Ypbknlx%g6qp% zYR+vhW(F`*v`oXoO=h=43rifwTTB`T;H9PYP0)r`IJ|pkVR3QkEj{;MX{Ez_GX?1t z(1vzo$vr&%;0n*Q3I`yXaNKE zbJ77(1(<>AxU%`rYZK&!`QbhsacF4#(aHx}RxWVXCwt65Uxs0*A}Y9qG|`ZhoaRo? z&tH6++9#i0RbA%<_3>eyXxM|TtbBXKqzc5X^DsgtV`kpL z%D9c5fsp`+KzF~DM?hFqQbGHIrS(;Zo9<4RPpb$rbBXMvSs`Y)MP&NP2uLYP91S6C zrTIifL&vg5$>5Tut#i;KfuRjD~0s~qC8hn0^=E1oiQ zxb5vrS%8E50|UK1?z)({`Ui!C_*pBN*1?F3 zBp=tv2%qGZvY={~eOvlIifWuT(mt+t#^AiAg}H^r<;!O03=9lUX=-Ze=<1&}yL!Xp zu1`R4pnph+r?rLIF+MgCSut*AdRjULhAm6WY=?DCuHE+W^Ky3g3kr*jjE;+qiI0y4 z9@bJB*M@3 z>Qxn1UJU~!8EKJSLOk0AH0=F@BN9RAmy?kW{$!?s^*Aj(JtZkV;?{+$C1u&^IUpu1 z$jMC&@{3N%$qcZIElYCo3=OiH%3r?t;E8Z(W=^@1^O0uq;Pbtg0z%!aJi~o09il*> zQ3yiPin5}@oYchF@Q{$;zyJ_!gh$1K&@47CHa5~fC^!7tY)n%LEWdVrk^0SjuGEy?KGIJ}NS{iD~%d4s&ZHOlH7%cEcN@2LO zjXdY>f9yFnFn*UrD{5dD5EbSh6dvLqS5{Zo2y1O^Z-+HOYs!m2*qam= zn~<2C`Zdf>Nsf2axng}gAn2ZxgmPd@dJc@ zTwf2W6WQ9_0NAgrr~(h=AdoErQGZr?YC?2m8gd?&m5`Z{U6`9)P*~awYGQkFpjvM) zi0a{OU<1_F+6;wO7gsgZ!_YI61DH-&Q!5IO!=QU`80-*f@$D3@7gpCgx-yR^_U4!g zaGZ-Urcw@$Ow7yA$cF-A&{$mmAoz^H@Gx<35Nr;5(VZQLHW+312BqxYAOKWxeoiJZ z(v%G7%tS$8d{GUwu?YriXvYr$KTaeL5b*duu*ae7GZ5{dJJpqq-2-D2t4r91Mp%0% zew5HZI`i!D@W8^50Efyt?HP-$vn za(V_RpV$OMX#jMXI7pdqSR5AEI}QtaKR_579w7lf9#5l?RYmo!!*k@>xtZC?%`Sij zhDgK2A;8qo@c5$#GxM{vU8pWtD+)}pin4}USbbm__-5utw< zk=Ty~Ga64IjNnoIq``qf0=P0t#14&*437_C$L0V%;}esc<}(3a1De3AaWbHYGz=gC z4TFOK4Q2fB{dfRwh=}hW9GN1aF}UGAXj3P6njjHDZUImOrauXIjuBil*yh7Q#-*{U zsIsN8y0WROJ@>j-SrZcE9QykQ28dt)2pGcHrm+r?Mu&%hg2`dbFd%$pW*W>e0Ban; znE~&>?{R|3Pcc){&=Barz`!6#Tl8Vjz?gtV^)b=-!?#6bjc-4QT>;TD3kjjMC)qFvW}L3$6^(!c;|WT2l&B!THY2`pudNI=%WNz*e^v(w-KeCH87 zP!=YNpQe})0RY0FyF0)d+uYb#3;CK#%S%d%^{pkL(O9sOb|MC*AI%Xu;9VU^I1B^_ zP)Kz}SzdNtd0ACseFMB3+g)FS0PA#TXIEDjg(fr#16E`#W#I6@nkd6IL>e6!w(=xL2DjHjRNF)m8uC9(AR7+b2$PvRqnz#em z+0_kr>I2gSc*p_ZS;=ElFFvl4$7V-~!(eeG1G2z!F$VlUxJ4#|3Awp$;ITa*+yWCF z*3?j2RbG&nk(?5hkQkNXf6^*LRS`V_!ApC>3H8(f&@EAtwNhx z+Pkr1Pu4zc`MCOStsjX(VfwK6{$Ai8`hfT7=>?T+(W9WDk?$LUjlX`APEnW+r?#-b#UC|lV^)hpFDf<`Z*cb0V4AbFj2w4g6O*) zgokiA5;z@12NFRE%i7vnD6_q)3XDWbT6|;_*n@&SVs3D^3}*2Wu^Zh`R@aJXYi+8l zDK9O^%}q;7ij58nkMK)v>KdA!9w(9T$PQdbMO9rnIJYPV6EqjZz-cL|X{l*o*OrxA z1@9q&wQCqRNS>aZA|gOKx{0zsXljDi)l}C|GUXuHZ)yOCAdS!lXnp-=;vDSI@^ey? zVj@BUf?WMWZR0}ln)r$S4rpy*K|NSLn`$e|3kq_xvcVoHA|yC8_6(cIC| z+=4_jR(*w%l?BcKlH$Q`HaZ&YW@AB0qQ1Tv)z<@ubpij5Le$mNR)Ac2RVB#b7Z>Da z=THt1zMowHe^XRa40e0KF7klFI2`UTv)<$fd1sP;x55>}s)oL58H=v0>E<%6bD zz(<{8!u;>~`g(c$M-_FUiZg1Pz^tn%%g@UOo4Vx0__&y;2$0VW3;;Rzz~Hcmq^z{e z(yEH0QfO-{$kZ3)fK3-TNdc!n*%>JbU;~(#2vX#LOmN}?4qgDS>EIX!9Ka+eB~a+` zc5!txyAdG7kdCORDT<29t}HDm%E`$}PEL%AkBNy64-NLZbL)<`oAdpMjJ(9u>MGEi z?5uRkRx>&>902k2y?g8S?OX0{w>`Y>`-Mh_hsPy?lb0-Tm{D2~7oC-z3QjH(5)u<) z!h-{Yg20wOl(KUNMi3dX`4mAp(g4rF!GYd>J|JCg>~NV?D?cweJ2pHvF*7ATDK;)X zB0MxGBsd@_;J%Ojbz2)px4Ym~XiQoGP@fnV7a0~39OMsp^Kf%=xOUaX%Ib>sl`A%O z_HN!@_X7j&-}4U&4o^%8^NmVNjE;_s2oDPn3-Z0=dgF$(tNX26w?Q(;^RADNx5q7y zTemztJnr7Pd+)ZFx3iO-nYHn$Yiespg8jqd{DPvwqay-AQ^9`s?s<56fvRrK7fmjh znAy5``UFHLCC0}_gKh@+-S>2Jb#b!4YH51mywO>sGpA1*7@j$6Y+`C*apjtgsqqCX z`+E_=_KqPDfD+%kUS9WoT+R?5?sePM-SL{k^=l6H*KDp>olsNP0BLR8n;v()?|ON- zI^T42vb%QG;E1MQ0L^yQ+m3mbai$0_4N$T7#N;5(AUw>(A1>V(AGY#p{1sBOyT&6tu5j= zEKDp+%pDzUtt_m~FPdI3Ha>U$obfq>lcx@fiXN0wIHqHC;oP~47tiYIXrEA5QBl_d z?P?xBrhG)xmBH}?)EhHcxn^Xw877T&#Ec#p8q zZvLITT%257Jm4lT4>u1t7w=AfVX*^3`xP_*Stm~_9*|H`Q&IpBuE-VCU^Kx^tv+dZy#>K99mdkjfr^&43;oB)F1X|xEzz1OSaC5M+FfnasWnpHZqoJXu z`t*hBGu2jVIy#yi0vmx&Z$$a2x6-rn@UXM9($j6*^7i%e!u%W=Y(o0IyaU2Q14AR@ zlGDKx=Jc8JL(Ex6#tl(9qJ+ZvC?H`O~}CtE(^9mKUEaOpFYJJ@)j2rBBSX znWd~GR;q>POS6k_7Dow~_GT!^(WNDVM39O~&GfA($*v+&_#TKcCA&l($>y9R_O*+@K^>%}^Wi$qb#6B9k-?67{d8nfIW#u`R~?rhhDtaH$Mm4EP_JObvxTyyM(2aqPl{gDcH(^#Uo* zTy&8wod{I_(8ToQLuzht%5&p>P*ie8R$fUNNU7u&R@OnPC>%(2 z2b7ek0HosTYO6{MLEH*Ee?dVVbl3Y#cmYY&;^O?s+9tLUMvHh;3=V{H%#ZeT)3@bN;z) z;~VUILC#r1LG!fvb!P|L>u&e_eQ!J6^bHOM%Zi_y{dGtC>#lwvksA>i9TN@QbObnY zj*X274hakL4-R%QFmm^EF+ZoV>sgV~u5t;7;Q0F4Ee!0!5|ZNk_H~hG$MM~;@_1K$ zm80?p1OyK$9F`E_XQ%)2h2!vrtC!UG(2W$j$?pbbo;~<-ScWQuJSdQX6_IXKc9k{d-7=E;qr$q8_z-XKLXFXd$=zhc`UfJ z?-i%Qg_{8hHA8DuTWJ_rIXHQR4jpv>i-Pe<70Eq2`2@wJfdf0NtYvIzXLHd&TgTvx zp^mDo7)WA&nMD>xI%@3W+sV)RW^DA?$1M!ImGpFvpZ3dZYRn6~sH&i&~;LN$R z+N$b?7cUy9OY?6fRY&T~$v!zAq9Jz7pgV$QH{VXRfRc`(7dzxGc?5>Vm-M_~Vw1x+K9SR=;dx7m_+=XyJI%@v@$Z^Z{Yuc!0-bXQX=h{Q2{zGsI3v zy8n6EU7Q>o>^sQwO7mY!#FHqm^_N_ zY6ekb8=}3XzOpzsJux~A9HfA#$?2-;869<1H7z|uJq-o1y`o2rZut3o+M1Zy2PNg? z0}q%}4$clcI=g$YSPY`EGA}vY=ej9&0=PVC>Ma`|KW(97X6NSP-zB(b&u%WdXT6Y8 z2x{&MO`E(47jP!K0wA+|i*|~UldAQiYip0sy!@>0V0j{l~vAw&u7uDVf0ikPI zaZYlCkKOrGCp5Hl&zfGbcXn}cx$PI33KEC~sgWV!Ng!|6+E7(q)!Z}o@Y&+RXfLd) z05Fu5S6bT!4)YGlDjq$mcvwzOUQrpu6dGzuvZA}#=svH%rJ~!;!NbePw^Kl9@4kKe zL_|dPi-Gelu-=P{ii&~buASRIO|}T=`iXjaR zwdMJl=~=~4)X0OS=TBxw2q4`9l6g2Ret7Q1`!AnfE({=`5GaB$w?;+B#3r(5kH~?8 zk}`7g@`n$DPu!>;Q&UwsEG4>U*G^tOe!)HaM8yvR2;jbg;*q0D$|@?#N=FnAAC?DU zh?o#3?NWbzUTRu?4ZM#?8bG&HWW|LA_yvR|c=%SjssEOd{93If-^+`=HPxIURLUrv5uxaJ8hZ5=O(6QdvtFgZQ9@ZiCNhmRLm-fr2(!o7PxFdHQmRW&sVBIQj{0fY4&7Qm%L z!2p_92Sos80Ge_e#GjOF$CMT2q{Kva^RhG3ZF#%=aB`T?+uZ>&N-f}XYi$USK^+>O zfA;DVH9hkVPM)3o0s;actYc>d0TK0A|Q|d3mC9wtA8g12@rvT{}w%z zPgnnl=$n#%Mz~o7lvPvvj;EvJ2Vy`J0oVbGHkAR6{=t0yY=0@~a!M0Q|5*FCkiK4_ z;89oKRQ?ZG05cRgsz}Pv9oq!;Q-yy7>uU?hZ(XD)`9TY^{n%HHl$L)KN_h%F01jn* zHsx!K1zvocW1FUZfyMPqf*Oy?vBEDLvni>e(zry_9UnFv~ z)c46viS&MuUzB~+BcF_znRu1SKkKZ55W8c5m59Cp07jsTQEO#OZ9Qf1*bD`?~XW+ks_1`b~k1hYE&%aj@WdAlZTfcXIGbg+$-;Wc1z4Gny?^XSG zum4`|db2so@d*L}jw;*1r!y!5a@}7AT%#PWP|h5Fk$)G$@7CMY3>t!~P`-WwzN)Z! zn6P<7^aldIy8s7=IN#-Wwg1H%6e!4#Jbt!zXVSy zKq&}@8X#>w_8r4N)&7?)|Fpo*TK{Q5%Eg}*{_VBjt^U7y{AoS!!E7cc&4JezudEd7rc{$jJgSNzYy z`C9)EO8;I1fARVswD7~NUzPr}{9kPIUl;#rD_<}EwDRVypWgZV;=f?v{{YX^4-$A@ z%$jvOB#PU|wbjkhj9T5SZjRoOtD6<0V|8+B-Dkkz4 zKZDOE6t%Vl2o{?1!41a_CUEkFy!Viv=T*nCQj3esHhX4-wZJ*5pa>oP;92Elfp;=$ zERG%f$4FUMWJwU{v;Bs9jYmpC5pKc@#Fn~G!Gs}h?ZobAOd-rUi8wabgkFnMRJF$= ze6D_JT2u9i=9a0lK>DbZ_gYJO8kMe?;fv>V(?g@0=R|8`V(vwg?&*Y{jEiweW^eJYJw6l$htrkW7?v|cv9(^SRYvFG^O+freD0?s z-ZVnGTug4SgNJn|+?sHRtF8!fuez}aPE#C`_t7G8a8kdO?^& z@YC}KBsKGMPamy!XFRh+-BdA?yup0-L2zzhVF=ZH6c|E`bQC^avk4ZiMT4=``P{?t zh$3%-fyBRriB#tOjNDKbam``QmFcIs$v5G@mSP8Ple=f9nD%CFGrv9WfMV5zl~N{H znK}a+0Afk912`29^3lu3w21wl*_7AyJ!l2SrQm2)z#{NQZ4jDsE7#-VrhR`#oujvG zy#{?nak8r|TknQyQZg4MPQZv+>T&`W=;M{i{kOMvM$PBr6D73Lpp#*oekHP1n!UxW z{Ql!(H;3(hI9p9bY7MGdkhKYJW%qJXnq_s$8G(nid;hw|m#ZB^zIb6dWd_xUK9xmH z>_O5pYe1C#s<-k*hRbNs=Vw~Xg$47)U?MtGa4y?Af9jeirH$D+jZ`({B?n>@BMWLD zynEN(1I`7dCSKCuYLkVM3&^sx9~{?>>|G3?SH2t4-f+pf_?@XWhykLM4}^>KkDd!< zbZq@WaCwGy!aDlq?66<#gYsql^A|DYu@}WbF?5?3A${g_mJn?FqU<`Unz>V>+YX9& z=IP2c?dM3h>`f&Sp{@df%&~gIu!?hkz?=*BAmeedyjf0@?Zv7W3)ibBvijsTD_!J# z{HYc`{oV#Y7ZAO-N1Qm8_NVByMK9MVENX+My}=5Dv0lzru1#v1B{0A^&-Exu2VL^f z8JphbZpDvE;<+=>bZWQ4?PizGez=9U&eG8wuthwaGMR3yNx=aX4LyvkM7RU9{rmLp zs1GRB2Q~~n)ph4%gDx4zjiZTAe_iH=Q}Hbc-8%%BoMe`{Z0ij+`7r{UxWEShbSrm0 z(2qQM>gXmucNd_IN|yjy9a280Cn7S+(4cr+FolPQAPpHyq$V2V9lw~qbHeR{`Knn_ z;>9U)2-zo&9NWb3Ot@} zK&@7QnN`xcaOZWuDPEqpyX`bvW-CD495~$h0~(L_;v_EKj|Q^?4-D(7Ozn=e+)nw4Zbw4b*}@-~F&m7qz|!y|=^Y25TX7`bW4-YlmP(Eg~PuWh37T&YptwTZi^9iQhxO3pvbY=&!`&`^D-cjJ*1whWi9LZV&B4~3Y zLM0apaKg0xtIhV1m25N;WggEI7iG|l*IEa1ZLj*U2j@Rfa#Qd5aXbXko{5841x$-zn0S0}D)zRm&y-NKj9 z3NCxkoi0S`ADpQQDK9Z#*$3*ds7MJ$@$*+Y6z*13eN7e%b%AaF4RCe2sqfmAtO`VMXlUkWnnfuJ&Om=+ zuewqVZTaS`gE%`qoF3ZYl$@t6vdVpCNY#snLgoyG0d^A=v-dS0qb0~J8qjymXhPRX#of=ab|r{AfIVKvt+IyY#8c6#%%=W*Bz58m(5 zu$|3Ofe+%l4lrfO%q3WMNWm_Ptu*&Drc%VR_JaRlp64#3_UbLA6w|{SBDQ((2zz8e z!q;}3DlHAJDfiYl23gfyr)YU>3TDTXiV2z~Q(Tn?oKDKm)+Euve)y3R_z!#C$f`skPkKp0+UvySs%kn@Z5rFf5t6B*N>)zfV2s*|rP%9F7~-i7rqq<*pcC&VD4GUco5_caG2WB8v;O;yD?T z7N6|L9ZWs4?&CxmVQn5a5KkO*dQ3>EQ~=l7ojL3R{Ife#geFgEM~yFJJl~0LDevEd zqaeAqQ`$ixtxBeg32*`MVh0QJ46p69A>X+jVaQ3bXcuxZh219u=Nfjkj>j{Q_X9*HPg)U)F@5Nxnq?PZX6YA zGdhCDbApD*&vI5|f}Hs}X?dur-HM~dR=qn_$mlGD6$E&MJybaCk|wotGtU#U0$(>O z4#uh}$64Omw>Zx&Ty9_el)I{Qj88#oP?=cwQ6ivm1?7C%XYkB!_iOF&daBew$eOjq z(d3W!ZAW6z%2f@vq3=UU0WV%tjoUm(btHSG+S^HVpD>(8tpiDV(_|?;Fh<41WC`wUbYws;PHo`-4Y@d4gh(TO!t!! zi@m<$K!*3(_W639vEw0rKe}npVNvYcpfIs~nlDq0hRo(L^-91pt|xZeUl^|H6rWL2 znk_dSk%ik1Y)Pm}74vazR##K}are|RSNdl|P3{ufHyf*8pU3LDw62Bob?!$UtWybf z&_^mYPp#9Bo^5H3aO35LA>&)dxEF?1v4nLO!yvKq)7;nQ2{*Pn-gek8X;GEd$^koL zdh#0f2We)O!PAAzuIN27)*qVvB8HogciLr|i{c?ly`v@`eJy>eN-_QIxDi)Z4r+i2 zw~f}jt_}%ed!m-~iu}2>>Vb%h3$J=ZY82zN#r8O&uA!ZIFssc>SAC5t3{&DzG!Zv> zH?z5<+yPRI2c&cJ&ne)WF%tD^Zb)_3-9>lOfoR>$Rl4v9O#uQbFfwIp3$~HbxGwhZ znBFmW5j1Ggyl*6Q7mh+l?N=xw_tQ-gk_lL~3GU{VpFys|SB7zqR?n2ns; z3FrKH$JQFf0sMHA9#uFq%=1sRFFF!ZH`wPVKAtxPfzFqOOt(pc#6{SG$d!4z9$q6# z4db%npj&Nv6-m*A34+~|ZpA<|fb$E1@i2U#;`cMYFhfIg-5t%$BKJMH{R6;(8D$(yfnRgD$CE#)2zwJaXMR$cZl4 zaRD1s{s=@8LPLotZA5A2O1o%oP~L@*D9N-xYSa;=;czgO*!dN#$9mM7XJt0wm@YB% z9>#QZ*NDx(=C>H7G$!rKv|iLUtK>tjRn1`4wqhi$L4Kj;GxybNz51~Nt5c-6WnqGs z-9E}$sT{37&0<#bR&M(9q&kJL)mBGKLbeT}8R=tn@odq6AhkL_r4(U8rf?3OELS|A z;=&mfd5t0!APzo_`IM33uWS{dxM`QKO#hIM15IaCVr#E_oKYEOT=km$9cIlnO3IPn zCq9Nb>}spW=6O;LZ8uePKtRcz*p^Q}_9=&4Jh*L8*`~RJs}MU6rM6*`#1WxtM;>Nd zaME}>PcYP=WfwHxL634HBMOLnbb)1^S9vPU0e0P>*_O^)`h6|2I?RFT4PHye(142L z7a`6v4h2*e8!IuhL|pnPsT-yzt%oJ+juUInE&(gSp2G1Qbwrs~dGTxgl7G7&!2pI! zwE@Esqh(O9)zE7sxSgCf+z=|K(w7iVQu4-Oxxbt5m$0)o$gfX!GgJ3;)!i~iXh%X2 z?UpZKHJ-lbxONuD)V)DwS3J*jUQkE_4x~v= z>sRrDhTj(`5Br3L#3NJu7~Rq~B6=RYs}u{C;yX-S=1Z5%*Nn^qm{{&-+GsN3G?HI5 zi1!K$F}vw^{gx<{Zw7rEb&?%b!Y}(whR=OJYX?m052QPKxW5zFG4N+z#p4@~nd1ib zpW6luXXz4PHqedyy+RDa$93}%zcFYo>Gq`#_!)HUQx{zH+AepMv=ak`cBk&lAWBuyj0fQwCIt<2?Pt#Sv@FxrJz<#Gk6bihVl9P7`~|N zlXOAQoqcl8qFqJMj24z(<+JauJ9v1?dC2goGm~-&kH}fVx-d|Yl6+K6Sm@8@yPJO(zg$1EFu9mA%o=tfX5_c~lCVnsEW{ zdN)g1p90{%aZ(W!FFxJEm%qj z0h<7t*CYu(Ow$vrqYsX}tIua}&MTc^wwrve-lCyPP;up>igA2ou zru-)_QseG1G#8-`SGx9lPT;v-*_evPAlWXQeCYB98RITuVQs;D6|%n(pQ*gp6GG$w zuS1K%Jcw%CZNQHLn%^hgV>Z&6$YH33k72F!NgVi;fG|I9_-^W9x+fmp) zcz-G{UvDQVo9y4C6Nq*fhh^XzHS(-l8K-EOz813)q&=fkBaazDb)>CBxK+H;J~Y9W zy=E2p`kZQyFV}Xmc(1EEF@0OzZaf)3qv+!)B+T5=0jm9~eH!QUz^qaio3NV0z+!$>7WM z@z-cK8;idXU0+DU6`=?ut&o`~|8O1jel3gAW9_KnsumP}1z=&b>noj>MUjn0uh1?5 zg&Of7Wc-+N17Y*9;s_}dy9(0Ep*xEOy_42exEr5gJT9; z8W~8KyYv(I4!pO+1cjeAxYd&Ru%dsN+m@wPO2$%bQL+IM&1-C?NrKUPjyC70dRZvT zl>ce@Nj^H6NpDoObgtVo1#PZMdz46O6)8*q#p*o%7+;eXgX{AUl^LKc?qHT?CD*I# zMeB~h6rG2SoWLb=MZ1?EZr?4FC&4%or`j`8E=JcRDre>$N_a1}z12ZZ8IXs#VmcOI zMn@XGdk#7U(?Hj^V9|1V6jP^IqQ`TNMpII14-!LFHMEXEmU;JdMu}oG99U#4UV+>C5Pz3%JQ1b6mlQUZ46Y(F3T~p zy!4e=%)0gSA4lr;>X4AqgkqT1vzjZ0EGuOX=nBp(zDnr4;k8|&bWPJN>2tZ1&3~$k>zQL=Af;Q11bUHSW|@E{-iTT;4&nApd4!-?(vT-_;CzHjrGu ztANT^xFl>%Q@1)Cj3dNuer?ox#!0D8o9r3UOI3|O=M+q1}dn>cmI_@y${s%TF&knOS7qnw^%|tBi(QdRP zWnf$Hp3xC|wZ<4~Ex9Vzi-2)VrFrN9JI6Qb*={tYmq^<7$?$ zpqXZ5&@5rO)`-E+M4qH)@PK*WYLBnHDfUd6a#+M>a(a1%ohvi+1$&Y1Z)Ix0TiO3JRt*r%m4hAJx z45>n2T;#sIhpe4l6u`N6%hbB2ak9ZPNL&4os!%JFkESIy%WK>XVmC(-WNQtBGuMx+ zwkR&ck5Gm4`RzJa6Zii3l<4V__3F7H1&qXO4R%YmGUgZc*|f|Y_d07fA^adp2W`?CwW$Ol_`^loz}#FB zd#6>r6pH8`vVH`3E}NumTui$qB-iu@jEQ8(4<>t==GEfAGddB)H`rXJ1=CEmB-OdB zj52m}DJZGS6c#gWZ^j$#)hE{#j(8>b&`kw#b|=XFN+au=uex)eo7ADE4V9@8kEvzn zU#5ehODcE3;!!Z2b~Gz;49~&`2V2#b#YXeTxD4V5+5loFz_mzcAMl9F+~vWPW7E^k zjyC{}w zBy-xdYkImM$<61L;9+FRV!J>A*`k+q8j1=prqY`dv=Bw%_^b`Br;_mzXgT^`O4cI> zM~f->qs(gFW4T?x9#}_fXI4dWzcRdtKhu2plQDfhBEw{1pg z8|R#M4H}F!dzTNrMN4}H(ClAP_AC7-CudgP30Qk4Qr2ToS3a$wx;pLS@}U6)yq7nf ziT~DbE<1xl8lM$qvmeC@IJdPnJQ%0k)j^I4rHm@1BgCZ$ z?YXacYx81KTqI$L8xM<~_dh*3U2aMWH@tfgj(T^eC0l-W$5 z)<+N+Ea6i4q!iO}(m8Ui1y>+%O8W6jLgHBEeA&1xv9G|;1U^jaQp2IhYQWV>qZi>f z&vb10?yZ2#@y`91jcnB$Gcs+han8}gH3;Ka{e?r&6NE1o*>V%j@XNFp1Ivthb%as* zbkC++Gnwm(LAA{Zt7Q@0V_+^b(5@&#z{VX-!@pfyou4j8Se|Z0^zAuRC&4M4^m(B1 zA_^YD@KAQ7$zbe_FvgXzTzMJ)6~0V`c;nQ?Vl%?_sqn4_V447q1X1fBgECHr z2+I5#$LSSaUi;hBp0l+~OfNu35sj%95p3q7v71RXr+wrsULj35J;I;Cb3E0uC`DW6 z{C>;75O^Rt5}XuKr54sD4vmGcYS^}0Nw~YE%h!)2Y0A7FVta4AlXbSju?Hunp8BN|FXbn1N$}nMi&24J!{|%);GTDV-!9yk=*HHI5sgYu z*<$&5utuFuL_N0aX$ZajpK18}5BeU$XR<7}aPz|Jp>t2NJ-tq^cI62I(Y0RxvZhDM zOKCgygUPMesw5DcSzd8X>xhogks-t3QXZkEFKXrvgr9nt#sxt+3SNU zfv)ZL^46rGEU*XQj79z?21_Nk4=#xF^mEoFYtE3U5s5263lF;ue+5UWyi+ZRg4G#; z{bJZsioLRsAWU$=pP4xICd^|w6vql4=v^tGy`e3fYkd}0f0Hvj64a?XM{z>D+!wQ7 z{p?BGn^X)IM=$3vdgjF|ou|dk}nmOud?Q)%QUAa?HQW6&C4kWL7-bhf`T-vkewTv!4&ow9w=h8`GHC4 zy?buD{ryLO*$C6Sc>U!z(cCb1q+^qfvfo|eRRiQGv+7v-7ZGW^q@){=S#T>S?2bGl zFAG(u=fv5QTtp``XV5f5*jwcz$ShWPvkji6J(Sr|^j1 z92=T*vBA&p5>va8{+|vw52l_>Bbs-|s5f?Y52FYkAutFEK-nyejp|n__wSx zOuQiaoxgMrkBV?Tf-gxux&G%=iE`&$P~fDB_(tdVWLHRdd)ElRHItPmSQpZQhwl^^ z+K(Hi6jW7`A=Ug#%gVxR%#Q@1^6_%MV7Bb&>#IPQ zli2A|Ld`|7=~Gek~*bRzRu0 zwdwE5{nnx=jDuUb69mwWtseEnd+v-|wXT%KJF(CGHC0#`SQnUBMs)j+PEk(h46?{AxC$&P)=fLY}1w?CLcG6p^EO zy{_7eBtYjjV@Wc)yl(kGkwlE5(hez_a1AU)R@ndr@EPXaPbNc8EW`6 zw_2d3)f#o$!F@4N{Vdl=;dv&QpdMnf>CnaeW36+NsJf=p54d{b>4jXvdrM^N?}K}r zsPD!+Y-^JmMefkub99aM-K}}Df&w5m`K$KOV>Wz?HCym>7~~)Z?uhf_^QLbn@b^F8i_Z&qSvy@cP6yHq8i!$%L8SM=9S$nkAF zYM1)J1vivR5-CImHA3->&SmKR9LeA@>?!ok{$r>`-zHyjm2+5xLw}}G^@_qR(JWwg z)^lWJFU+qZvyg|;*i*Dk+F|N^OIW+bOlDZiT|tB6lwu>^ApESPYlHE#tY>42#zsUg zVaJ5A7B1;MDd|jM>b(kwk&Hze6J>*8HKBEghG=hHV$V$pg=0vd1H^{wN@T z+@7rqjp~0cKO%tTCC@%o`L#mpj0|TY@H4 zRu)hDV9nOV$qoW4+h#6x-bK0(nyPGiUpAj$aW(oPZ(w(h!5RR*Pq0)tA6$;U_R&Ns zea=D2f_ZK!n1RYl;E_wGW;M)T}3On|kAj zRYa*BRFm)ADVZeoHhY_3Z{nXf9g)m$|;spnYDxdr)+c~X5%_1<(DLpQRk zcbnLq*A#MT{YSGJ$1g)P+6>{>Cdp!b(e4idLX&;|C1~RJEdqVBaT*Q65jHHH;^>Vf zwGDhv2gh76wfuu@mPyZX?e%Lrg*Nx^FViOJ&H)9o-+(kSx%1CHBbu(d`j@g*22$8lBKOW$#ohelB=vA$a4Ftbj zI*L_nZC+wDP4_sQ`R=2xd+nJWYRwh-`Ck?nRk$w$@f*&Da*lo15})xRz$DeV>d}$p z9W)*H3yYu2DCg|RIz6u=4k1jK%sy<7jbbi^kLycCegnSss>eR@l3498C&vbS)9JjI zjRvA^iu?6uD`Bk4`gg$`@!<35|G>M>xoYqLq3o&i26CMyYkdYa4b;>iX;Li{Cu068 zWGPwLeTyI03Vld4(0`5Q0yDRZ?}_GdP-)t5xV8Y|yew{I)`n>rMCad0`HhXMW$KMH1?zWp-c(9fmUmg0cD6pUS3e#|F)-WhI$>Oo z_VWqxADnN($P8`}yU9M()YuMe7TlrgcS+YNap6P6IWFa#2W3wU1q<#a*zHS3p6HQmafj!tQzf+V^G0)OhyR>nh4Hf=;a#&r^I}Y4z0dmAJ8n&?ja8 z@E8LB-?$LtVdESl4X03S@}ApF{-OXK+IhYOJ9?b3JXVQRZw4+|g*obsz$dT-v6z%yBZ z+f&#j>um}sd)=_ieR;c5+F0;?>98NBl4W3+=vs=-_qgSSw5~KOaIvgIlLYk^BK+}Y zU3JCmB+gY5DP8_o3gJ3YQfl#INV20d$apRoj~}|mzoS=UNLqR4)k`xqJkY^8_emHTKD{#62>sYJ~XYA1Cd$Q7Wg1M!lta4au* zZvy-zyH-_6(C?zqlttD|=8i8|bvg$T|Jn8Z2T=S|Q(2muSJE_W0MBNCCH`C`7}5|e zI!Go;KMU-mu}oTI&sQWQG?;Z0q$4GMn+e7-NhvB0_RQRNG|pC+t>6znP|a#@cHbgI z6=TV2NHf3f_8@IBNHpPXjXU_tUmaOezsq@v+Ur2_W_qWz(xxavkj@GAE3K=a|KRZ_ z`+cuDAFr%o9uB=E2K=#L(SAZei3QM0z4_9?EQ+64rV#R}v?14lbu5IbN3Vm@82lK* zueymnAz;WDY?AOVx7bMg&Z|Nq&ROh7j`etR*Xo%L&_U$xT5)HhWonwr+#$xi6OkpXPdruSpP4IqdYI(Twkt(<2 z+tGQ#Sd*)SQbjak^V7=-lwv*wg`L0sA$v`p`Y%|-un9$rCHCkD_ci|&PKc0T;On!K zPJ_D!f04$XBtw-T)oZ{TP2b#}%ZwG>f?-ZwIz4U3!S-L(Bd_MKgk&AMlG3Oz%iTD7 z@0MRv#Kn4{lz*0(JAF$mdu$POJ4D*I&o!hXYx>mYx8A`a%fN5<~?*jK*; zX7Qdb1=k_6Y)$ziuE=N3RqZ6(*wSL25u6A)WK*kY(;Pms(JZ*sicFnf(W55u%7T z!dAjoOv~@P%0HHwoRYg$saC7#*xt8b8PUWF&Gp&74NblR?uP28^`|t^fyb8D)*SIH zgbbpay59rB_5VroRiahIkPcG;Zucv%9k?*c4HoA3JIQq{b>@PimUrCOHFWxbThk!=kf4gH( z$kqg3*J`!%+-nCHS$(jltD33u|Cld6WZtx#B&4pt$)VGqZYf?>M>CM6#vsR0^AnxihHx+K(n2niH~;+TxD4L_^45 zF9zM9f85u=3D!nr-c}7G9{2aH)j{S|m@`-5smy@o(s<0hnOUzNU*jsqHlYIu4vD{0 zt%bKhn2EO+ADRN!Ku_Q5px>5)_6DXd5cC60E@QNF)dLcz^t>83uk9GaKE$Zi%#K}J z?hF{Xt1Vx=1G^SU@_J;cg|aqr8l@rZVf%}dDk-G|s*b@v$e(^O0Hw>yC8Td{mHM00 zn3awbhC~}EjN&7_GAVb~^s;_vy&SN8*w)0KKZGRDC?`qoT)Y72v&8?zWp<0a8_NEN zZA6zoqkoIJXO|~NQ*l%V3g@N=V1_R|TC?!QJR4CWNG52AlNS4Q>)|H4SPZw>-F=vejIE8-jqK zaByUJlQHjZp_~AaI|A+M%VU8?5(%_blu7`jfCzhx+;+v(%)1BhvJM|3Igf2;#7s2 z)IT#;!URtQthaZpeqqgiSLdL;?vm8F$NBi8gQnxFR#ixoflux2dPzgT)X{O?J?#0P zc5p)3DF{#meAwve+p*$tnyFT=%l+_o1DL(5kwt%`a4Fl@RQsKNWv0dy`3|`p)L|^Ys?z>72$}H&ghVJi9Z%IKP$|DnWRPz*jd@(ENS1vF9`W zWYP3R3?+JqpiaEvPS_dxO{5bRQg^9$d63Q21O8`swUkvQWTi7H_TyEi`lPYJbp5CQ zqWux`Y^i|9L1BB-b5?)bnj1dt9`SXu=35{H{S3$RBkDgj$Kv0-zb7SwHEBck0n8uPPpvNWD^1BAtfWl`$XtIY@Gg$rQ*OAlvi+Nt}#k?R5fvo`aD z6AcNM$NAD(T?euc%+W&qSWK;ELpU8KEXLT2^_{IaYDN|}s(~YHTd}txdo^ce8AtDla z88&c{rc8vthU*K=(d8@%OBoJ>OJNXpo|@2fJ<{`X+8gs~-Z13X`L)u}To{h?$2_RH zrhj@^sDiDIV${=r>G^x+ayvFKvl?sXu-{#ig)Zgirs6x8`_!E(EY!a%tTlDh){qk+ zk?3`5;m?N-^@sj5u;z6=R-{Rj*tDDp(p0sf!)Jn4_@)k2$9|$Q%BT*KkRa-lF1X?O zI0h|c9fEy-W|K{>e#unhzCUyeCF^r6Z~IKOVXqiqRIJCBl30gM`}Qi{R7i?r`Q^79 z0fUD%-EdVHWxDCD7ekiN_h0@ulmJDHz{_CG2i|jF-Jc=4-#+=*(fJ&nj+FEDPz_{M z@?!9Q6G8m`r(PxOoh)|0)t%g6>g@I7pR4;`(y!9`VlV4$&%JBgXWf=nx-`nYPjKD; z7PJ=o4PFX1w=7BcA&eT*+U2@mT)98U&;4}KvNJKSh&L=A8w;r(IfNyV2jJVVPJXxf zU2BDqeo6oK9SaL=k}LT$fqyE**mi5)mj?YLrm(LQwTZ2~|Liqg{@ep<@;gm^ zK8-oAwov@ARr!&Y@pVdjU2+#+Ga4*dJyL3)DQ82WqC$0!uDQSBQZVK)AN>qifK$p| z`}O^v2%`Le!MD`L8^0pwxB7Kv>&W(wpgDo>g z!)f;aW=09?koDt`{))jeW2`7egAM)L)9(@uGdf&>B!`u!3}{|9lPE77e)Rg(u!F>* zARxWx5)Q^Jmck3YDUAZiSB2pIWa1vGxK8dee)=TxAxY!;ZFS_2VxX-(n%$rJNQRvI zpj)ih&TpCYxUD#X{4dT!c!ERy#-=zAhEqX_F2O>s~WNj0M7?`J9LX86aK^U6bT zEuRL{xAsz-k118ef8{2ql75**{{vJ9n#qj4`Plt+=4bYjGh$swB%;x`=6k1^?abzO zR%wl+vmre{@8B54*C!%@-|9rHqt6lS!gM&|hBdl?o`<9#!y8jtrDoaze?nVjqbTRnZ`cXaLo7Bj2sq9=LgSb1O z;sW{SJu;?m#TNh9km#;EQYI&(#~8A3~EGe!d!{X=D-lbH4b7 z34VY*kVAudc1MUB2y?MZk6)ojk>gtm3X3n;`uPFh{ZAgZri@Tz_G942bfUK`9AA9- zt2k9oWD2x84Pf#U&flpFJs}caxqOkH9528UweDrIz&Xs-g;m0R{~{IBuXqPuhxre5 zdDp^o=QV$;DH6nTzBE~&OJZ^CHODO zn2;%SDz~8rlg5v$U%bhssbh$}mLi7o<42N)z0mJmMuMyf2b+WW-Kbhgw6@S-+zRsd(_||He}7 zn2OEco{|-}ecckMW<;--7eA?u(2$!KxW1|f9s_z#kN{x@;1d>o4N+67Ve-?q`KA*$|O2b|A;h-SHr6+5}VSH20y1h0)b%;M>P05IT(^B8eW4x-?dt% zB5aq>E;EL|ZMEt|Y^d%7Nm`ne$09WI3%?;zfjECy{+R$FY&&B5{*wmKA^EY7f|eUO zK_Ox;&T0mf`*-C7PgvkLXQZ$@xZo8pcjuP}7{e-_ zvhX%P%Lf!KK91B#(gOWn-!eNI#yLmgKlBjKp~Zb>zK9Cd)2%R7mK}ocq7nU04g9u+ zo5#;hhCveihn5{xbD+S(=DGG(-?{BO&>xGwqg#{A!e97Bp0E58<{J+ir)=h?TT(z2 z_Zk=wLe8J;{0r-J>uLXiAH2Jq(C)O0s2(JRO}>+SU*G1IMDq!eT)z~D>(}x=zh<*L z9=lJ~q3xZ9HkF?yFHlZCOW4n$g+jtcBwf}Yej_>%oPH7>W zl<7W~rhfCQVHQlo7J=T8;w3_&!hDW{=N|8FF9=^=9-Q)BrQnA$(f??*ZqBdF*Dp$> zN@+_x#8s^C4(Fhw8Ej&A+5AWO5GVIm$vyAGzumw+2cYkRU_a*@tetmCDzn8Kb`dZ} z#`4D!30rViV4$AcZ^JP z@cdt~Dv^V~qC2M(z7Jj>u!;5gbTJj3D?Um$ZS=puzEi-SH@i9x(#%keCw;zDtw=Zc zb#?{p=a(VPJ^~M=kgK#u-O@`@c;!n%tN?DcO{iT(W9XTCbiwx|d zej@hlFPFmM9Mr&0h0+T$$t4#T>7_~fI^oQez%l)EN}WG6BAAR$chmiVm)5ag^gg6W z_fOSfjhu9l)I5G`J%0!$FZp?Sd&#pduKkHj=r}4+!~WYUZ$6tu+~*4} zF*`Syu<8a@%DHI%J{BFI*q1Cfc|a6x9-a<8@L8fESuCThcO=VDS5Jt1bwYFI;Zee1 zi_Z4XGjuOxI3JCSef^YAMKi5UHnBYZ9b1W(72c1hjo{qm|7ks?nbepL{y5Ehz8$R+ zteamrfVM=G z^O(z(01+5phRlcR*{Q-mwQxRvLAaa#md_m!hH}BFZZ6vWEV0dBf1`j*P{?JhiDoXk zvvfplg~%tFKf)SdA2y=Z`#oH&`y!_kv3fpa&Jjg{^H2+Wu5IwZDeGeY2lz{=J4XNs{M(%T_Cc-u+#hs2jhejQ#5wvvE$2k`=QZ%nfZ?ZQ$yGYgn53 z;~Qag;)!`M!E)n<;+p<8uAgiY!8!|ajYO|^in z{Db{>S;KlmvqVO zl=Uyhw!uuL1Fi+FQFx@XE##Px{H$vVaq9frN6lQ7H`k8`&3B}B$NMx$xjyqFJ`lCa zaIYwzj=k?8+*5KQ!Gx)Z80$8u6bbuu$&9(#CkcO9aC$eQAv4ode^xGKl|M~Os7z+& zN{HS%(F^u>%Bf$p?n>cSjthk=lf0vvOH@8+B{#Bn-QUM0%tn3vfqNR=taE|SXa3Zx z1dqCrH@q1I8LOsUJ(Y*h`|6sL5o!f-hLndgdnxurb1sqjU0ys@sK_uc;R&|>}e9z`_Si|{~T}`gZeGc>M1I+y;MSBb@1uiMRLn7D1n~mp$+YmKe z73(;>0^4NDa3WjNh9B_Z+cp?-Xfz(xCVRW{Zc*Ogv;HcHSdTZ6caKaAHk#Mq+CHN{ z@vtjDTZnmg(oZIeKJDbhuI?vb=t4tGA1YR>8;c0pfwi~ipG7cq>jcI?rZMZ zbyGh+flmdAJ|`veiIO|N-fPBezlfhtr1Ynak19xy){}jCzS7ENlqn5_CV=Ss~<|-Znnrn{Arr{O)TL z(Ccqa?7aXRdpw3sh-dDxyv(Qbq%qC~dB$4vxb01k53K8s-Hh4mEU*?T3Xcbn~yT$qs4j;u{$MsA_Tdg9Hx zw}_U3D{pLeaa+JP&CiwUVhc8L4r$U2-&_jRmxr1i6;^s46L)e%m#Ri>eVkKm82VDAdi>-bLns4&E3325G^m)6m39U2oVz#A?wr);4 zZdCCF+fjBaZj!mw=q;ymw%kKgH)(F2`60N49>+cTh^#=j17t6u=a5bOYA+%kh_ec? z%k$$i2lw{NcUpg(vg?adx=ArKIcug5u@vE$#mV$#w2W@Wz4Zv`bvQI&35$9W*Nq&9 zI7Vpa+ut559uhOmzFcGS>C%%~zgy&XeUDK#om-i?@w9!9WYe8{;SO-l?Pd^l!w_DK zBZORO6V6pHPjNgeCb-g?mNOzYQ(o0VbQ@JYX8hV-;^gp~EB74Yv(T`t>YNQ6ajFk+ zDrPgri33%p>@wEbhg1&pky03SN(mBgOGUos>ngx2Uh*EAbj=wRDstU4Kje*2pr~)w z@=72!Hat7^x!z7p(MxnZ!@enm>Dh(Q885IH1#@Q($^0^9YJ-IS?$~UGGJ#B8}*M%X{JBSx;P-UQCi$<_$b$&kk&_sSHt3!ROfqpdGEi(d2t`@ zd&cYV;nk3F(#j`d1Fd8CmFU(6LvrOCgi_Eq8zB-|2U`^ElkV#po8O-@8Pn*aI&8p8 ztLtdfgpuOf4_}z<(atyGuqCfKqTkJ?3)|rU*^=h*Si&XQ#VDw+n4SGmYv2_Q!4l4W z>Lv18Sqt9K7)ulE*7eg~arL@v2C@=yT9y_?JLmVX%je1aC$-(@<+vPL$JrWw^gLns zPW8^Z@hGPX9=+{CsRPgl=5m&d9NjMbvt6rHC@QA9#smD#l2(v|9NBEyyK|&_&hV&o z^?8+6$#9+7?Ea9-XW&>m$FI1lyX520qpz1^Z-()S8MW~_U98i&Y2w7DFK6mG>ta!J z%#YscVfH#?lY%lN()soS`93jek9~)2DmrkXd>#O3?>LlH_O24K#)(*yORPI~fq?$)vohdU?+N9XfIn2jV3u^^K=}XC$xs zYyP5^pt|||J$DIz@2`IEeE7R7wChW|p)%jA6fYIPSCEaTQC;m^{YD zKx$%A;EUP)#@s|(VM`yj&&_491eewQr!!Nu&RXf8yrLUwd*W0n?PwmK=w`XBXeXg_ zp9Cl_?5~~2>o48bGv&KG0T1>->z#xT?i&dt285Arz45{oMy}rJsLdnEn6kLnR==@J z{rK1WRnvPl)@cwXa!vBYX&ic^aHanF(pM2R{cVOjisb^2E9nHeUCE8wJz}xhKgn>@ zEiT!E0@it_rS3f{G|TAN_!{BHbPC8**A4n~-ec@7k<-Y|u2Zhr=wl$S7`MnlzJx;Q z9dncIioriNMYxLx0 z@^NMJSZnxX4(DBdOW0dXmh2ALq6QlV9Cu z`xMAunBc7UC9O=9l7MKmx?y&ndIZ^o%x~Igjn!XS8g)_swZ2&{W~ z=copLVlQlKhp?Uy|M3K&(BuR@L(3k!qI{BCihO1&#LZId(9k7U6UK~$h2FN4TdqYx zM+1@7qiVP79@KU0Ywn+d;EWOc2`eua#V}FoW9D_%*fM6|Mcd87SKK1jWu|DJc|@Hm z`EoZ;>+_e-&T1P3kkUs!ChV1Mm@v=v>p721@)J%Gzl1Cn)jJt2IyK+%;s`+{K%k0? zD(YcaaQCXQ1wj#>c|8U%ZtpY7!-KlOoOk5F%N%|jklkjlP_LIxMuT&`t2dXxHzysYxKU9#e z6}GWtTrz=}syZC7Ln}ViMt20qN+&fNPu**?nh`j(M=E)`i&iM?*a@jBT8&Azv|XT_ zcW{I`q7pYVlT3=t_9_kw6LYc^wyWmb z;!q^EC${ZFW!X4fZKKXspClM2&poZ8w?#?|&9o!FhDzhc0 z>#&`LsB#hbGl{!K-qcnk^1-iwwF>TqB!;IT`rEWnNP^> zX>!cJ?l^HzCB%{nO zADMVDe!bS*{?*umvKPt+xy&@x<8CP9#F08!;er88l z-PTbO;R$y?s{O6^SF9;LH#{aVnRRng`J}5p`97)ld(?w%Ocy8IczL4 zQpDA^#a-fl?h>Y@pL-8IYhv~^U6SM6Efeiae7xK|uIXoWLsHsnBqOh8JJXwh7RYSHKY~E5-%?)x*GjQg<(zWsQ=lkK$?m|jEog0;W9wXQ@@$QAY~U(?G*u5|}7FD~dj zPXA=ure3i2x<~ZOy&)aF(AByc++O7O^{E%!;xIRJ@;6VRubj~}MqjrO%O$hgw{jFkB3NN9LiSXekTA~HHAE-@LFk)2miREjRg z6RXG+DxJ~T%xvrIe$ziV1VjYH3Z(j`x2LPKy^Y!2*ubc#*Vi{RG26TQhQ=m8%*@V# z)<6>zK#r3iJ}t0wa`W)6VdF*4ZK+tc0M!|L47$oRzjj{w!D>B*7YgbZ)p%G->q>&23$8hQ_8o&VBy!<@4Ok`^k3`EI@1=oE+>6 zAIAqeo9k)x24>g5$i&p-yO9B)pe8`gO^muq0 zG7OGbO`$P>lsbF+hsQy$KYe^ZK0L@WzrlgNp0B;enp^=K5MPi3pDOV$f&|1`DX1P)%!U>u6^-H-Sq1V6XtK0=2y9 zZU^vdDlr8qA+8VaSh+^zle@-e=4K{`Ivc9dd5J+U^>%aN826@K2$LL~?411THmzSl z_hKJj70P9t{bjGIM`Rkj1cfD3QK(cZt)cA=knhy{=}+_XvojxO=Dx78efc=r(@d=) zldA~mVt9T*aan0$Zbn8sm{fNvY_rnO<2`7aFi)oFpc5xjiXl4-@ zX%#h%9o_9sjOOmQ6CY+ib8z!;efco)VFB1DH|OVxzSc%YeGMwv>!y~Dg(oyFCJYiB znUs;0nVz1NUyLdT-Jv%z+uGZj>&dv1f_y|t2|V6KWz6$>uEg`~rm3&<1BB@N@?14R zyDoBtz%*UbbM4u04~WUiN(sD4Jhy7il|&}zIyv>5PJuBQ2qXrJuj?FpKi1vE9GLnz zIreddpzvz0PgBz~A4UiIhlYo`Tj*3O85#d%_fUEF`V&UiE^F&vvwHf(*6N}CD;Lk8 z=!_yPFe-X;=bK(;Rbg^eM09MpCuD zS`{WIpFk&NLIN^d*o8Ll)v|PlM8+m(7h}pX)B+TyEH5$e znSuHVt;VCxlvp6oH zw4raDeceF=TNgiQQcg)l6&OIoy2hsZhMuWU6MX|Sob2Ph@3@85@USh+y{$?O35|*N zKF{$oR6~5^EX4{t{=T`aki_g@cE4wv?P-}3*>g2oSy5A4i3NWtTuX0mYhezt^Kx_+Cq($&mTbz$GTTv33!z)@I)vvwZWb{; zxWIE+##*B5RAeE6|ls?o0kau@Fz?`rkFdciobNkC{I_%OG-o$3vNHG(o}jkIz) zo2Zx|H~ZWm6<>*=*QOY4KKAr(r_g(TA#w3_2OQ$^af562XqZ0t@C%MgOiG5q;(`N0 z6S9jicmlDqn%*8M@tIA zz&zb3b|ti!I>fg_Y5PKfi&F23AhsQ{>&D^);j8tXLetT8twUc|Z&)X|N>D`bOMO8$ zs)3fQHS}TM0R(&F>~OBgJ^ur4k@+3GoAzj$+1NS-$3Z=vJOaWZg1vl_@%42iB7s2d zAE!gMT4rLXEudvN?a2l0ACqmco-eD%gF8&=W5JO#pFF7C^nF#^EBTc zf4!hDklT7t^OA23r^u$gXRn(WUNO|SaP@Tbf)z&EJH@0%M<&B!qtlCXypMmyyr?^| zLSMwGuQI6nke;ThfxROzxtP=vazp#j#Po{w8wPZbJjT?;?&?>3WTy2phtgD+epfSy z@kMaU&edf*^w;^}M^*@lZ`rx`z~RFOc5mIVYN7^(iqs#v&bTavU{c3ceE7PyN)f{@ zYY~e7v`R?on7);R-7_e%z*XNR#_#UaARntoejz^YzTr@pqiqj4^-g!a@F)w5WqQ@%;`wu@k1HRSoQS)3#yo*Kz(`H~xJ}`ZJV#Q-5HUkNFgO9#$N7Q$W(|K! z#XAZ0OQ&{i6z1iX*dsdjj&~JjgKqf*o5YDT`t}|n$(b2&Qd@6V?-U!`96R3{kxkoW zZ4Vj{XIM zt6Oi32$qLdLrNX__g?c1j)WED$3PIHT&p(jKB{s0DJ(i!bI2$w49VxE1zTAI-5eZD8| zH4c}GZ5QHLwPnxtt@{oiQa*L+^cl@F+Go$4);O!9eeR-x@zpCPX4g&4Z{N77(eF<+ z@)z`$r}{-@R$wsIXn4cQ-5R==Z&^Qj;rPnQ-P7CG+uO&})y4V6ljoLlw6+({_wPP) za`kYudwox4rNHNjiG;*`H`iD`D`+Ba6IsJ6y>Ht_DMG8*g6fOD3o&Pl1$KxE9=Ld1 zWRvcLyJnWQHjkb^w}0mF5|G?m&AP58!91;@f@9*vD?cwhEROjNAvpSZZA)%0fpop-5 zP=6DHC#MKGQl~e69!-4Ym&|w&X#X%G=C#35KCk`PpTyF>%IRpG)-%=9y5k!h5EKjv zfkuEuZU_Vdc=~#Jdi!|$_;`DHdbqo}Iyt?tvbNEY6kSz#!I3VwZOf(&{2ao{_uK+N zB`7p9Dk?fUIwmG6DkdT#`K1jr=Mp)TxwiccmfO-bi>5O=jjd(HFFC~ zsiup8JACXsOnxzObTM9`n?uPPUoU;u-pS3=J1{&B2Ii8C^vsO3j0{+Ea#DO;Tuf|i zbVN8b5*iX5EZhF>C2~9_b-Xhua=ZMp{aIK_4swa=(vQ$gv7+8)Kpj+sF;$R zn3xa;P(j1vq8yE{hXq3XU0nkrqr*aDYO0*RcGL8AOm;yr5{s*- ztRj=i)s-YLgDkCAktKx%1prlUc6v&DOjLLXB*4$h!^hV@24bZB*aMQBo&rlxPAe=a zDk&~1DlRE4D=jWA%+Jfu&CUjrhGoDD3*gxWxnXYZK7nCT(7^D7j0$X0Qd$S?RN6$sVfeSo3og@fDyb_{aJWs*EMvq5^n9US3&wIruXZ zB04=XGBzS0JUJSMD#A6CM#GA*b#;WwT527ont&?E&c@IT^6j#JE^sv5|4fSrwG{OZRfCF-RPt zx(bN3y0Ws8KqTVv1Ok3>p$#x0iiso~8d*-PK*Qmv(wss(rm~HWW6%@hDoI3I4IYcD zVKx!)cpRyYiZ4tH@r^Di$B?Q>b*#X!tqm-QTbZpOZ~}k&;V`H&9E}G0UrDX0 z#$XwJBX4Mww(iabMt@mAHU>)q!E$vCqY+n8O{fBkUs5r!!4iOmTvc7)($e11(bWL} z0Yo6IVIiugf|#(1R7oU&PNG5BT?(kAtPE9-CDc$G8psJ=X*ub{`UW7+YEo@2kUlFE zucd%$Ooe^9b}h(D|m?^6H8L959^5Mi5W6wYIl|imk2SstxFk z2~4Sh6*t$`kU`u`A}wkH#L$!)APE}1iB4~91X&AIHl?GvkwOM33RbY+P|sk{!6hA_ zYie(!*D)HId}xdm7@P+Tjs1sGBzgHBsCSu)Tag-ijVG;mG? zLIr^Ythb6xtw!Q1;-N*T!a_XAhtL@emd60UR64DmPC(=oVJLMq6B4s90pIWrclaI3}$_EM@MH{XIDoDNC>q7LA8Ns9cT>z z0tx^!qOinM1>z*uhz3ptjm4r$ktiIof{3rI%kzjTFG)!+uO(I20sCQDPfaaQE3j}< zIkAcYz83@kUs_U_6C0bHNubwOlWRdSP?$zz03EYBT#YIvQmd+wDd?8=wvL|8uHFtH z6@aK6`~U)W1PpsgV-zrAz)&Lr!(Q@{B}IkBMc`j?391y2ijFD5BjE@Vvz7o10f>VF ztQm9wh!6C*hFDoyhs(+<0lpO$5($Z+woq!xU`((~fldRL02>8BM+3PLvvVjEDzIN# z6UgE9wzq>^6aWSA0711a=A@`~paEdgRjhm)3XLi)DT3$cq=bZ#>ZX%AP#j-Tjsw{mL@`J>A@d50;qa8?y!aF% z09(bfT_6+y3#b$PUkzB6Tv<^AV&+Clb60y;I~AFiTin>)1`=+)UEPbiThdqq7`#*p z5I&gEDp(RKDK3QPWoKn(q^2e(B}PPfht*aSs05Iq!IojmsSPy7(p&>lNN7|^QBh6~ zysQF~laZ5=kq6IAEF_ab|Efr=!3q>w!y3B)R&6bvQ3Jd^qqPmV=I*Y}<_2OOj@i@Q z-pR6}4%YP1(Z+0TZeAQ>pf_M50KOWFL6(A9KQ|{GmXeeZ8y^<#ekZdITTZO3z@bXe zWf%gfhBapZvqzPcA_{V|QGb5{_77PsFG^$A;AxNqOmt-<9wwfB2 zR|IaXp|Q2StNYEH)~?=qN<&*G&{Jn;JL`ir{DD!ke8i&C$iRf~6&Nt37s9i1($kV- zqeH?WVSyTsBziRtg(@p5!i56;0 zb7NBzNU;K3Ee*i?Gy+G<5+fK3EOmn+Q_h<2;rU?skrWpR1#4_CNZ=V%hcC4jT~?T% zla`fRM5-bXu_#a|GYu?Jz*;&Y1X|9ZwSt6NRTZP5t`?P)3sy21Bp4l~C8foMMTLb3 zL_t0r4lgRjlIU+fvT^aO_{#C6l|rinu9ZOtscGP)fY|^bz!y?#m&SV~m{PHrQjnel zO{K-fL4!d~!q+`8%$9w~67M*F{b97LXXxGJct0K3A+{U?bjeaEE8h!}zGyU>wFm`^AK;f4SNWM4U~EN2 zg+lz?+@8Am+W6h_-ism>Dt24jfNhB#5ve-mdO;uic*eDZAdNL=|L(hb9#igHe^2 zot_B;zA`Z;GBPy4*VoV6D=-1m-k6?d|35 z8Ju2(sU%>^ka#i~%-pC#L~aJa4MHgpjisf*Qdw7NFc_$un3$Xd93bdVTx@JyRCp-F z-_O&<>Df!GXP&#*W2hxXFyFwGf~*u+Vq#)+Y-~(yWCS!MB-q!-%g4{nDKNDRnVg8o zO$7={O-fFPiHVMihC-oXp}_$GzFr<~Zf>rwj_#4^IXSE#5Nx#+qDoL{v<494tOEIx+%CBqSsxC=e1501B|;OlRlUFC3oOKeTfX z3J(wR@$m}`j!esn4hW473knPf0I@iz5E=}|Gl-gfeL-yM4gzLCz<|9xy+D_JJ-xi0 z9ba16SYCbpTFWXSAt5ys5*ZdA>hBMpf?}@V#}#zi^4^07AO!aI3xY<5hlT_P`YrPV z44oZczk2!X@#9CfHkS7+Zr!+k{np+45AU0T{h!zV(V?%Nc=@`zxH`UcbawYzirHP9 zogE!tzj$W%z|zw4!M(ed4{V>6?Vmn*Z2RcZMUWx6Vs87=+11s>#o5X6m7~+EC-!#MR#x{d?%XyryJ>Ru z>J|MMaUKKYcdi>7 zUb?Jz@shs2p}}Q?D@NCEn%xGx%q>l?Ue&p1bN$rI=nx-o=U1%u9G=)(THLvD!_4g3 z6(jvi`brA>4jfh2HM(VfS1z7AckUMrbLUvS-KsjXWiB_yS!Bqb#!HgDRrX`|Ts^&7;+ zHi(IfZt8MFj(*t&|28Tu_KF-a}FR*?6JTpDV#>T#aXC?m{A<@lS zq_*wavs-rWf!*r`C3f$U-n9>i?eL)k3VU|#+`dI(lbERJ2C)t6goT9Hty?cHAtfOp zwM|+|VyD8!w`^+Hj!Q^v-7YI5wOL$fwa_Xq&aabWV|^faY7Gqzi;fI|ghfO~gh8XB z{@wur?yp}vyL$R~y101yLSoYL%fP$}X0&p!ze}la?HeAOnq%YO5fEM{Dl9Av8Wj~4 z6XE3%-YhA#ZQB;f&0?a$YgeyY$qROE*}t%Hu(Pp)jYoq9 z<@^Hnai>NH`v>0+zUgXhq}8|f_PrSx83+4|le0YR_z2ntY5ti{<6yOf&&fy$_3`y} zb9{2+>?sx5^&5Qr1O2@MQ!~6TnL&$jzJ*LAbe_S0}EFs*bZcE%YtQUF)N}d$b!K@ zP9ZC=s0@iLuc1>L2H#T42Uf3{2Bk`qgP!W0J}f23zmk1{Z3LGZ7w+XDx2`s&|`wK5mZB zY%I;LoYy*`D9PPTKqArQl%BbjLLx$Zyuv#U9zCY6cl*ATwcRT>zmTZ7NZ&_#M>c+L zD)T?od@1Yeg@?{js48S;T2i1xW5e)gPJvA_(rejgK7XB?VOzo0R*;ZW*~n~ZtSQMU zCX-T~T{7#NQ4vm8_pp_xW)NpKDemTqF3IhZ>jhVQ9O=McWl|AbW;1=DLMX;J~k0BLU!&ue&(E}qB!5mwPNem@C&S3!3O@y zrWcQE{rGimo|ETmCmxAKWyNJu2D;IqPESmv(_Fq<-M;G~cJ_*yTT&T`G58gnLEu~^ z$j>%VlN<8lrrz-{t8WZUmiQspX#po}qBWbe#vMUIhCjIFot%&CSS6!;&h-9mE!oXG z_U$vbvax^V<_iIfr5Cmq*L2j5s%q(+-m{i-wY=UvQ)R*WWRSA<^9ac8=HTo{XBSrz zN-N%p?vUi2Tp@qQ8yW=-4h-;hxvebD&B-se>*$$_`i90g%&nff`ucl3(o;Kpd;H{ulZ(4=XlyDhKG^l)&1*)NPs^|8 zoEV;*XJh+3JuyBx^M#XpiXQQf&| z`>Ds#6>nEc9K6`jJv#H1o&C$F_wUBvO?{l5pPQL_+eyXdBtXNWQsCHXDl2;hj;wTp zD7mv|VB{TZrt1RXXlHjfvj!1%Z&yF`hM`k(_0SjYRf3}8l3S!UiLPF`QgFj|g<~qm z6t=GU+RyBm;MuTqF95pY{m2v>56@?2<}0;bhpxE<2D+G@Qh$^=z0<%sEVTer4YIVP z8hTS}M|W@E;K;=E?B|8~kM9OL8bMmAuD+SoDmbJw@OE_K{WLh@1dgi!I6a-e{6c5jf0Dei<5(GVfMqs z=+Hnv3j#p*K3hgr`D1%vIO*B${pI;@WijDHKsR z_=QhYa@YQ&C(r1dzX;Z3hQ?+Op1TD=<5SaM@uBW_)iw-eIi6EK`@k=`5Q{-1_&m6H z@o{{c$O)Uk)RIanqp^{77OSPL6D%!8!7-+fpTN@MD?0}lH}A?-0;>gCYay^T%fU83 z15Vh0174#e!$SkToy>+>0x~Z--0QKyk2G)TcaEfS#b=-@CgM*#@>*v|&$+5Tnyc18atahC`v@A%VUgPWJb% z>uH|`i^dZgI{K#fpSgHLBI02=h*FS4tzu<&YC!%77%YPUGKCF|jUYeJ+}sSZxQhfX zn^`BRScj>W&$F?Pvw@>dizmpI4w3c0=>cF{niyayw{$dVG4L;Dh5ZE}M$FI8%gxOJ z87UB`fe>wx($X_BvvTs_h@z4*6sCOnHS0{R)FU#;K=!v0yEAKd>_mszcUlZ@)JIF>;D zwQPP41JwRO!#}xIj#c@sG)pj8tje!S`i5ia^Cui|xJ3mm{q=&y zL{$yw>^J%gIE#;d^CZi4uo%!mK&-y8no#{g|CWm`<6(`VZv*MXBK;oOk2w4c)}pe0 zMb8=oEc%Y$BJb~o#p1-O0PZbc{%S2CiMC9?GGOrncv!S7@}D93?f$QDuzv)z$d=XL zKZ$&)&LR&mn3kLWhUQlZfgB+Kq^hc-fwD3B>*ON)B@zAJs=i4` zc^USf@c<-CePqGDRV*WOogEGR0<03xt%vc)+&+CH<7&pB}KRf#s9Fljfhw ze0Sqdy<3#dB2Yl!tU$S%+M>$9&(b*hD{en}#)1zpE%IBW9~JuRd%po%o?@09#!?sm zy6TUg{yi9f;>GI9Z>GH1#Xpt#*KYjXdOzUKQrF@b`(NbwgJ%AnTg&?UcdGnT_8$rS zBY}S;@Q(!kk-$F^_(uZ&NZ|jc1i&j7{uB0pd)fPwMp4s$M*laz`u&? zCr$rW{jZz(_n$6v{#~l-FS#tH0zs{x6fgWrXE?0=fkj%}GiB{td?S#s zUMAKK!gA*RJHUS*#Sd#Pa%Q!oj9z>l%};6RZ8faN81!)f68wCJ>f7bd+hCRW;nQDl zE<^b+dX%vSj&dtKT4kEt$mv7!-K%!1tZ_4&9PE#J;@4zr^^DC4c;VImNrYM*zw!ZK!-J{QGY|X7Tg8OC4E+!z%PY^y|B= z99HS?zW)4jso*k#UyJ=1(J~4akRKYz&s+I7o-8)~yYfE<^Bv?xKz}IpD~CUCrvDpY zmiM6ki0C&CzeBrJ?9Xujod*B9EQ|MdJ^ky#zk&Z9q#smTJa_QhzWNVJ{N&c}`}&hY zzux|{WR@iMSM|O@`|k6vivOg~KN}3+A^JcwWq# z<69*R6UK8VZ^p@XTPNGbrpOZ=>JPz zVrQouYq3GZB$o%|7dX~fGyD}htB7?JsgdKSH7EL)R)xcqMw=90kgZ||4!#C`Bg%Ly z66(Mf&lN*@1b3K4J^c?ID>RSY|jIb=KZ_LxHwBTnd>%&?7H2{maJ>!-;SMgwG zNLC*wmXcGyX5CMCpqy0!nLNy)LgRm{szomj!QztGt$&sw8W57^H-787wN z%vTCh*kb6nsKfH;u|}zvt2Ot?5wgFo~X5$rlKV+J9DEfFRk42*bEp# z(b0jwC@8PKU4#{6-Rayb7S5KB7O^l}8d_wcT%t_Z{K?}%CWRq?rP3xvY~=AU%{8fD zn+iKS*8FsG-msg7Gb=U>`xKDHd{X9()`D&`xO>{HTw))wibXM#A$Zz$;Z;D?7U%4Blilwvy zmW@K^lEB8P1&W;uzVC6D0)NH}UxlvIk8_?Vni6q<<7L+16zy1pwP_ z`h4)DRw5pQJ)6ZFx>H-P0y49MO<0;qPteBEB5~`_Yx)9VL&G<6k=t)Yefnx2&R-+8 z4jKG4cwEQ}hEzXiu5&6b3>GOk7P85fnT?kwSX4X@JU2o4Vy!`&=z4|G>V$JC`(F=w z)AAI-xc4K_KpvYK+cPYRnMhSVEV=Xo!I zVlWjZB6|7>V03j(wGNc^bS)p|`PuCZ)R#pJ2bRNQuSs)t5YpK&-PhhGjEomzQlEq* z)~8(TXq)qyoI?Q3+j*ZhD@2#M{yO$&YxRma+-9W=*LCRA)Z??K5-PObZEh>jRW-7p zz;8$4jmKfiZJP0jgP{dbXK83^22{suHXovAzYzoZ;nAX{Gi#Q@VkMb^Mn3`}Vu6V} zo#Gq#sHJ75b57qV-iJ%_vARgkZEYRTDCIbcuW9lS1&2eIqiyyo?yS z54=D3Q+#?2jO*SahNEYrZgaV(t=CDs0=pcK8%~{|QUpqItiJO^NTQS79HO#gJ7<5_ z(cMdt<+%aJ=>gVc!)ozT14yAqDY8Aw@l?n>J`72gp4A;iq**+mE?vRr3d%i)C@H&; zCn{Dc{G#l-<)9ibONa77t5fJzlnhwszh6Ue==tmdX5ZZz@(Y&(Y_l^gY_t?LuCDG{ z%ymHoUc|RwHXpZWee_||zaQOYKet>RrV*(t&f~G|cwBG_02*J&M0*tOq*0UKpo8g3 z&Va!>>d-mzT4JMk40VT^q1f25P~y}S{`SEk+{a^;A`{Af-8ASK-f;=X(tIWW#a{om z;@lP}bR~X()@%* z#Dt{0(qnWh3tf#~5A5{C&c`7`_mn`fy5jIewSC179us+@cDOHE4L4r2q`VFB#T4)c zBueDKP_06rF8MK$vGErRleLqa*DmUHow5TfRBb1N2hWN}=Z3C~!Rh{N|N4-GYoZ5D zFmbqbWn5BjSntb-POx`{vpLJ)Ck?_m-2-9M)>~E=Gae}%vQd-5$vS?$s>nTqb z;>BMN>7Ko0nvx1%IpT;NhO&zMwEd3^bC!T)HSt&ZWVgtL+^0`ESyMQOms(5Yj!|*@ z3(NegJ1(B4UtID8- zjTT&Zfs;=XU+*-8MlD7$O!e0l{HPI4IK=U19L;(XJ*&pMo2q2n^k^`JNGv#TWaQi6 zD8fKPGQ;&!5s^C6Gbgo0_MQ9-gk(Uw(rf?kRix;@u+usrFxcA zxq6sDD6T>}kq#7WdyDGu7#1c$9a#dIs;q=VV@ol8j)^$}G{gL%*?UY1$mA|2=1ft6 z4;~XU31jVR!y_bAqhO6e|_&ilDXFSWQCdt)jk` zYbi-$Zw827)(Q83^ob2YIZl8v&DCOxJ0rvZckxRH*$zgXn}7ik!p@s2&rBZib;E?a zzR3j?=-9~9Fy|=&zg3noEYpK5@jHb2;Vx5aC49KpRb{P{y}=Am+UfjMw3U&Y-Z_C` z64yGhSBf{q;?@>5*L$-2R|O~cs+?rmr9S^fDx{x5)DGLAag)e%mUZ)aG!}m0ZOyvR zcf>W0NVe=dIbloq=s6lN0s^&6GlOfM+g;l_#!uZ`{rC zz#5H3sT}VPa@EtBV0r%LS)8y)yT%A7ajAVAHAv&cg`1b) zl3;7w=|(_ddA2InbU?#~LjU9?*A66vavd=`fu52#rw@Z|ssy>^7VyH1H&YZ#v6h4$Hzk0-i+1lAN zW*J7@Svx3=bo(~gf@{yG2|}onQlH6qjg7ipMQnebpkN_b@l-1$YFj3b?;I{G=0H8# z6DaMv$!HNHRjdFjpwd6vBi}0LuV`&}fl9kcp^TlvrO9=pR9SvzFeccU7*C9Jw?o@m_19F~n?s-ME z^>r$fdRp>nh5i+I_(J+>62?Bm2P46b@@+!}V{e+J7}Qar%e0ZRDC=JKyF%smqAe8q z0(27t+}pm&$^CYaopLBQI0G)EWPK9?*4X|$dPdSB2y{GFW_jkkR_a{oRiaJakB@<= zPWXZncj|YD9@wmIoE#~bk|pxxL@bCL@=-dPqOBgt*plS%crHIa&fZ zpVticU7wF`I~@~3&BXW1HtU%lPK#72(q(ug$?NEkO8XrNNIJ$?Uw@|S~4ksEUs`aMkUs9Aed?0dZ2fz>^2)X`Qhn!tVYafdH9)!f|h zw`?|iPf_a1_)n{y?hF=|Q%lcPpi2X;fCM>uVwktnr1PZ!yT}D^a;FaTsWe};ZTTb5 zTUzVOwwY4%wzisPe$m%GfX%54c9;g2;t5^;G&Z8ZhzByQS+VCmRFH&P1hj9VjV*TM zOPWS-^6a_TMerrcw>g1?{3$ZTp?!in*w+lev`y}aD)<1bFqUy`E<2+ww72OXyG+{e zQASF12W2mxSMiCjzc9nFMJDSSuyc+I81$I)PcnjlpDIW$jKr2g-UI~;6m9G#vJ8SR zp3#ij7K9zR?@X37foN-tw3N=V2c0c7*(E*9{^S(A7vly7hRpkEB~nay`^z}o*XD%z zPn8Uy-aGCkiWxuS92o{p1l4|td9K+&E)7Nz{mP=Seh$1KPvG&i1BD6iT(Ow| z<5zFd-Wb7`q@z%l2@EA?r6ND6wfLlo?1=&dlYr2M^v!99GNaY+zD!ZX-VKT>q%;&bEpuU zFVpQvNIMecfKTgO)p%Kb&y4g8*rROQPoQ>>*KV2kvIx{P%+4!HU!%V2qS(O0&Rn0@ zU0NagCpPnN7CXFYbaZ3g*3MHQb{0TGK}m*EaHF4}n=Pq~t}Dpew#hDTRZQZi5-$D1 zwpO4;^Q`>Xp!QXa?ANTtXtb2s%BLUJ0d7Nz5kFzXi+}Q>>jfvrFuhl*4N$C~lVH_h zO#nSakPlODwJqOG3R63Qs2gOhLJ0>fF5~-RCvQ3rWaB~D2`dd0BjqZ2lS#;O32o59 z^(^{APz?0i)n)UDj-8V(K_jtu$mr2uEEylL2$q2^r8Rp4l60I}L`3M|Y8PQ6iS;;= z^-?jhrHy2Y%<^_WG2S4;G$beor9@M{3cF~Lj%4)Lr7>YaVw09&B+EQ?*7tMc`HI`( z4;O=EVIj%6sku{5lkpXTUQUTs&Oe2^Af|Q?##AH5h3(D}9Xt}7*^BkXBh@ah&aI}y za^e>GrBbV;klr!`_WAuxi&rWKF@1xN3mcW^wx#TmmPoM?uVnMTXnk;*!@IGbzZ zVKxQB81%8_+&9q&qiT6FoBaO9g8`{ndC)qV8*|kCDZ28EC{lAWB2SasPQ%5GNrxmt z8@tg+PC=B$r~WEP`>YbIMwOYe;-c`i-AL195QCVPM}{~h`xL#DGh7gXRfAsk1gu+? z%$Kg5qpCZ}sFKL=F#=1o24mi-yE8rv#N|H~k0RF)ovVx%LbAbL_Hh}^8N*B(!#TcA zujNoD4-55mjg>U8jN->+(qF^8GG%Nj<>n^(3>rSh;aemPSRx`){&@-a@CVr~K+7}*93Fcj;jS`vO)?&M()^V+l(o}(JdvG%qehtQb9?gn_O1s^ z$$``&0aT`nb`a*~93_%)rnzQI@JT|r0lH2$`_%_F=UnA}yr_m{a}u8>nYm>fU`A{WIbY{)7GypaMnWzWUoZ}%7eq|jH5A4DF z$w>A-xnUKJDI1sk>8_|X`i3EfUgtGu?LNop3&0#vi8-sc(34T52}|$c0t#m&wM<%| z!90;(vi7c6kQTmMUeyQo80vpYc`BFOjYNIvH!Gq|f*hp%SY=YphUqrgRg7ap_U294 zEp1ONB0XVGaDht(Or(SooTOwW5njgmWvocLsf@x|941Po?TXAF@2dxD5JhifsfIF| zy4?cxoq(Sny6LTzg%`kVDk30>wv~YMPl!*4Fh@czNsPG;aoiRk7M5o4PPM0*|D_pf zCQ3e|{JhTt%`LEcedn=A#D#OOWRxCLrm(QWg_eu~ASWr&VJmD-RJD0xdOUWVV){U| zbatjm5&ppXcpuaGb)p{Jk;P%nbAZTVvQ;jW*CDS|nVW1**K}WN(41)(w5D_(eH@2o zBN3Zf)?Z%_Ka^==FK3g$Uz$M_c(cJMz%n`pBed$}>BI3;y)e5I*_KF7fl;I<2YQ&x^#$@gqWC5&zIHy%oUyzX~Ny!8T?drk?uPo-#YRees3URPX^Y6NvT`~TIW*-r8 zFJ?t;Ey0TJcN+@jIl5IPt1jw@o6E2jWwW)0sw(Uk=(#L`)>HJgR`a_@g2Qj_Mk`Wq zWWyE!JqIa0ZK*lR$NC-jZuX_ z5%w=?NI_c9#-^K#6-N|dk&RQ)NH_^Cztp7x_BvLsX*cn~mvr^3$!-(e+W`d3@o0^(qdZv? z49T7Dn@o?2gXwW3hi5NQ4OVooL>sRwe9aZvq2olu5?dw>iYi~MLW2Bg%#jSp`J&zx z*4K{yfnJ2Ob|~~`Bwhk=Zklr5C8%VyhL^>uFQvVdr0+rfaC(WT5G_*{^P-I-W z5dZvEah9NA(&)@rr9r&{^DyQOou{hDl_390iU;zW4}riF!vYb(n=Y7cp`VoxrE$$( z0|M=+UEg$=M^_zTla!2xas4}CUfQl0%_q#s`20bu-DeWhm4WzV3bXmP+n(ZjJ`P=K z$pu)v_O3IQW95Bq0TjdrsxDv}>U}%ON&T0)_1q@0dSW%XXcDD9oyUAqg1NqVu#(+6 zV#S2$F+>{?jy=Ns#S!R5BdYto;C2vbH13Nra)Cwnxk8YNAuLkjtA8-Ph^0O>2 zMtlyq!KG@(-VJpjXx8*|!+w*#|} zB!uqM5dqKo1=PsEg{QjBpa;s0)aXZc#fh)7QWw)VhedsP|^lulMe#)W5G>p@5!y>uq?V0Mi1qxzhN}?gF35T4=%ob=79@3=70gbiD&dV z_h;wFC0D!D_Pe^eoN^B0khTxwUP!iWY7vf<`sr+6QIKx)q4U=Rd0HZ3_HLGuYz@{~ z795E*R}IHUkDtdtfher=F@vCK1evxfTG`36cuG6JqhzzOCPYr{JF}B0us>L!yY&KsQ zeUz6r3ADD^$?9n}IMjQm!@9a@$CTsQ=kWhhaV8ywKhg4Os$90{H?%RRL6x-WaSr8{ z0F`9U`!_dhXP%Z+RIjfGcjBl$Bn?(w2f*X1Kocx;1metAN(Y^$TUH@{hqk+VfZqd} z62-G+p+~?Wq#N`bGj3X5_#R&c2~b39;ENmj8Cg+OAl^*@{T;<_rtu}-#Vq;;er5uG zqf@fzr42XEW@a}y5kBjPNn;l9o`Qp4e2j8crNF7vf-bsB=tnGtCt{i$!$$4$U<(z! zgLktm(zQ<3A@UM}5Xo4bNed0B-AkCRe)d!u<7_QcB88W0g5}zHHu{;mB*Lj4*T)id zEtk0mqO*8%6X2$Q{Gwz$5q%YbdSscPzhg!4o8v8FL02Z0c4gJ(w?1C!w-fCd&FVUz z$@gga7E4k%o5?x_HXseNweQVt+q2!XAyo#X>IP>9!=fdFWljVbKn4_=^}H{b0a-b- zgHdqLlL_TmC-eGfJPWLSZX$DFSbas=YcBg(Z;>7zI z$Ju3$Rb)sQV<}M}iy9Y826g~ZsW{9>XKG@fS&dBglc}a-UJ0q#R2xrkY z(W_8nykPyC{JPjR7&#=)OVe6)8_AOmgwzo{dz_AOe7o_eE`+Z+>c?<-J&?2E;8vL7 z`9|K{fHAw~Xu&{R=msWilxC8Sdf9NST$ktMjBcel0Z-DtuR8ZK`@4x3X5i3@AHzhm z-PdEl;8d>B*UCWkCcQM=>eya-R@v7Re4Wfn`!?N-ZUbl34$ZWHU03-s@;4h4x*a2z z?~7mw7d_<$)wg;JGPFTiI_ulZOh56Aknrn6$-n?l#-F)H|M4bj2`{=&nU+?qnCo^1 zN2Ed);fFZL_}bUw?v1yE;&C^v`IgsTL$Dmbu#)itfC9 z5rx-bXE+qJo8Y5sEvCCYHWT)&?;s~N^%EsCDB|=vTG8)fLVnn^!I{W2mQz&a?h9VP z_f8OI_+7Cd05gQ-u;FBMvk@4SL}VbSf|#_0xl;&sN;)V)5afmc&!K!M^#?Vv>*?Yi zy0PPnBtW*S)rT4K;;dl1rAeA-J2C~d>~$^4O%rSR@kMw9z%`CI@ep4|1I}1#!x6EE z9>WYvu7-Pd9ylK78her!LDZSJ?DjE?V1e7@yKYtBbypN zn76oSscE^no6Sg!6`oA!f*@Lg!9ILn-bG#hB*#SlvFYjyj1R!`X=5Lygr9QW5}~Ow zrX~6C@aLEThj;U`wY#&0mp_+h%L<;K=A>5(CMMq2^#u`+n!<+j<`0((^5o?`k>Y^` zGe-e{X$63A^gNqzAPZ|xOGbu7z^4AvUUD{l{Gp09df*G%_5|NdJIBp-&Yr*6V^S%m zKNpn&)nVo1yqB=>qN5jW5v0}9LR}VZ(3OJg>#9fPtX*3!+@O=qEUG~2c@$l9C6@zi zgOU)lL*%5C<^u|+*vE#Lhtvsii^~pzucTBbD|!>yv>qgM%Qez{TOa^A+vR;sU$Op~UR9f+f z+EqGoOed{~)`&eTu`>-FktkbDG6YqMh><&WS04&H0#l2ILOCC~NiUUDcz7zGNQ{C* z#DD(tDz&SARxhL z2ft2N5x%&-eD&0Dk~W6tll1*ND&A1_)p?A?c0JD`?emK)VUu1`&)q8mVj0aNi(>$G z4EcZ_9}XNT3Wq>@(U6{2-}-`0d0$YwNNIKvV2v%jNG@u*tR#qmm+xY1O2489+1x-_ z&ju3{MnD~ry?yng(;*%l>SkVYs0veCpC0O#lA%dLGr~)qRAnrJM}f>VU#828SHcGm zA62AP25Yjv)%K9N4cZTN&XTPX zL{|;5hkgdI2IhOu5`EO8#j^T1whY0e1vMw@cmuYZ@$rqqO5_-k& z?6yhnd8hWc?UIMKc*v3@vBnf2aQ4(7~ zOFB^fZmGAv)W{om%~GVK=;XkrhVz4hyC&bf+L?1Q7~IMiyx0y`J>dY^IEM}oIKB!c zD7sRPLfcZAD);I1>|7Zf@n5n7ghO$A7N~0ZbJUauN&+4+0lr*E!L~|1!8;< z)-W4FI5cBI-RP5ihgQrp2A0TE=AjxB*pVFgZi(l4<#*{g%%um;iHkMv5mH`3R5|y` zdIJTJsM2r5>7HT$_v6M+OQv+rdZG(1*ntgL;lwCBVukV82hGVS-bn-vV`YK$19y11 z2-CHIDXx7ha25~KK@pSSLXHsi(7om;@u*QC0(YNzW_LMVAkFG7DihYUh8wyb!SGip z9d_&1v4M0cJB7ginOy(R6adIz9MnWEFvQ&-D9@;#d*aUe@P&M+a`->|ZIszvXQa5@2cDY<)gI-UPutFfJp(IRr+vvo!9nE!|Bnxxc zoRQzYPwMm@$@jdsa|}cCeZm+f7MO$WwM?$*pIMOZrbw_H#5kb2uD`B0^!@v1rwijs z5J8jjQNeGPloKkWe25~OsH@UWf;|L3Iq*qA=CZ(`1^rRYFJK0W+AlEgsn3aQ_90g$ zggfF`r13AGh7D4ytQ`afM(i1fO?C$_KVxCir-|w?3(1c{`qY8p6pmVazn7ATwHiF^ z#;0-at6K=bO(~@;MczanXJ}nxV`KLgQ(a3dE_Y1)#mQ~4ge7}OceI$*&N9L+FIa%ooj8Q!fmo-eq)|8jMO-*#WR*!HE1u*AL!usJ|G%8$@)SdJ5GAQx z#z%lW;_NTg=gPQcoA1YVrmgIM9gu3(_o{{BLID6b*_`8q8CygIhJByShZ{m>0)4G+ z5LyXbe{TdVd;*NGV60P*);%$7Sg}dx2wU>G9`TRm>U4|U3#ZhAg#rtMjAwoG+$sr1 z@NB`ynb%N<dtG4mUIc%G%4>)ux;FR4r^K>a_$x}wD8(+}}vCtlk z7@-v7ZE(lWWCv7D@e=RJj8y8;ba2z6a{ZfI6`>t6RpiUr9vB@>$A2*WWpmWbNK@7Q znkRx%LyQUcD&7O7affS(>95nSDFt-@)Vu+_1HZ371iZk9k8Sw86{@g|h19nnt9eo| ztZ5ohSaOiMb`k5QG;aLDf@^!9ElRKrHZIr5SEHw$KQI5pN(wJMn}x;;z7h)fYbbSl zW6W|9?{R!4#)j+B|`|87f#tnO*m>*x)ioq^EE;mvY`C1K*O4?ZZa(o}1 zsNm5zjNJZ}P$vYX9E=yK6aIrpiE8+F{Ge$57hEB>=z1QxPgX9S&g?{d{}G}JJLS3V z6{p?8N02qju_+V$#14%9Ew3E_lL6y8}C$bm4#nSY5;(1cyFRtE6h}1xOf+-)8m^3hWM4(S`eRd?PGrGj2`RFD%29 zWt7=12E_sc#|Wvjnq`oE5o9u{B&BwlqKghL5Fg!t`SC^Tr^oM=3JGb-iLWyX;A0`Z zm|76G=8?>|@I)oobZl_4UsT#bKeXXyHEcvZ?m{G}@!$1(aEV`j7x)U{{u%`kB$HC{ z=YwNSM#hoy_2y3+QeIv9uEM-wzbj}tgf^z=Z=4i9 zApfTRsJFlVf$=nAvJf6!NXhqjXx_9#5r4CmS{Izm{?W5B@T9O4ux9d&1yQIzc(gMr z>MS2zVROI{C2|&)oucz_0N7cfbdTRFzf$d0aX8~Ex?|=>@Ab3aBTB*xqu%(U8f!?? z;~p3W=>1FE%y&jokTkXYD>S+{|NbL!W6Il*q9ER0&+C`YKcXd8a~`GbUrPlCw)?i+ z_SeP_lQtB`5t1W1+GcKBP23eWc}TNRP}}R&9Q7nLD6$xVdX;wlOoQ)%ja=Fie@NU=kjnbxl) z!w~k`D-vMVxEh4h&4|!LOkIl3Jx>2t|1^L8kY~bNKPiGEFzJQ)=yCtn1*9wAx-YoG z7x(MD(d0fV!V!Lu&CF#h)_l z1`IFocoSk6nTSBb!W_=x5~-(cTLNrN!MZ&lSSXXlTfYRtetWA~%hD@kOXD^~=P`dv zIRC^295r$YY$jz9Vmxuo2cOAP zH%N9SBfvd`8CXG~82Y39_YZ<1Dk-BKZIDfi53ASPJLQ7IfxDta-KE)2SFQk$yJiTEVg10IEmvTU z#X2p(Tu4D2xmfGY{JC|CL*b$LGtKx+y&eAO&nKjHFIWy>t=>#3HNO7vw)TUC8HJ{A z^BzAb<1JGM?=xpCuG;@f+s!>enpw#I# zQC?aEe=}PQlEPH@db_QdFb^En55?v!|B6}V{J>ypB)$ank_5{6@p$i9>pY$2!Tx;B z$rF-D%ehlwjA7NTCcN$-Dp5J1no}8mua>=6;#mxBn5sind1^TlJ;F6+hc>;vJ}Lr%BC( zKO(@f=D}3Pw@gO%lR35PW<>277EstO;Jah}K`@vl$GhO6aPx_V9_vKeyaUFp4RZ}7 zNHFx%qaxcb)QMP*JEM1Y)I^f}y-+)|X@e>KtNY9d^h>)$^XI4c?@LIa1I`|1lD5Tv zTpChvF>k!nVX7_sJg#E|Z|^odMN+pjyKAt{^;e}Phv}j-!>5Nm9zySd zUF_4FxCFdN^Drm<`p;pJ9PD{#6F?Z~4)Pz@Zbez~T82Q8?arrJ<(!t51Ot7VNCnsWZ>hj4&9#Ak2Q}%*3=`H!@|CZ8$r=OHmAJ)iF*QxUN)Mk#8%%i<#kKQJ1y+cPXH0F}^a{Rk->HiFg_*X;w%(d~ zZ*FCx%AL|AUv0NWPS;G2xRXfNn%tU&;#p)%BsA$xYWJcRAEWhXR5gFq6De|$X0~4E zR{cIN!BjfOS}#ZYRavVbLn7J zFI#qPe2`Bk`D-VU4N7~V?)^r!BP|Oz_sXr)-Ic7^0cc4@E+D&cj zitni1!=sSI^InFD8hE?$Qn7w6y{(Lb{cx_vBKfg{MCcy~^;^Uvc3Ui)hI+wEq}np* zM;k?iC*DND$7jTkdO2MfoUGOU?VT-!U*+sCoDx2n!KH$@S8p>-Ns-?QCMf&Lg~!V? z(Ub*?q)m@sJADJ^Akz{8s=K(R-!Z1!WV|kHZV@=W7f(oY5w9Uw9r{%{!QW1TlSpw}|55s>cJ* zM_xFAjXDF`A>MjP|5ilh-2I>Oi==gz)lRk4fPT_B4hD0GS2G^IN))$zXq(E2RcB%j zlhp?sZ0AFJ8>oKHBX5YUd_)7;CWVvUv*nR{@xp7Ol*&ENWE zs`NuCfcqcs0liNUCRlj!Dc_w?b$mwbG`MSiyq3nCL_a!Gu*Q(x#le{OeE3=*`beeLG;9hnR)PZjoTzSVP&bQqGO z9GeZI(d$mO=nJRm{V_w4%CLn`3if(vWQT+J)td2ml0?*GFBg-Kk|6^jKM|)rBPI@$XS9C%Hz`xdP*=MgOm(g#k z=Kl&FrX}YPoo|T`(XeI=`CY!Bs~mV{i`h|mxDMG{Y&!cwF_A!dS!{@TOD95X%Rwqg zoa0fg;c3#_}coZ-CJ zQ!T7biE{4(x?w~;|0)$Q%a?o>cQM^z^m9k!%>;=aTR4fXuf)zc zxhKsEax9kPJEfYK(;HPO7Zk zdVQBYxYh4zkM>m*5ka{vfQt+p9%&SN3xcA(`5574&S@=17BY z4It0tc9E`k3WwITU^TW`H&3*~4PCPlQ-at>q=F3ib=gOM|J*h0TFWcC+p74C(~f4n z`QU8WC?87QNF-CMgJ=&yjbBB8E8OnEvr7Mx456w66BPVm{DR&^ZKVDM$x&kYDd)&W zHU1h<^{>ge%C?OhN{t&!H%^eJwbyy8b~;~fYvK;GBF@>{>SJIVr3ADVmS@B8BvKBh zB6ZZQ;7pfU0|qrt*!%@7McbGt_1|*yjGEls)vDk2k8k_JcvEwFzQgb#UCLN$bL~a+ z5>m_AN#77q^r5o&!8rVBl~zBrqojesGA~SuFwc#GIiy(oRYDbVBb}=LTu$?i#8b+Wc`*od1Us;bn1(bl{PS@zW(UGUG(dkyt*pa~Dw352$^fWPtmH`atgMx&uJIWL4LIPusM zmNC8M^1#f2f7iNrG6^(l1HQ{46iXQAo#9x5?hL++A%2v`bOAGR36xp1I@S_a&3Yf` zE~@`_nkv34LV%PZUjD3%He)V%qf9TGWoC93ZKf8&3Gr{qO8!e9unK_WQU5y+Y`^0$lWg8oW1L|+M=M*sanz0AX{mugL`5W?ZDOjV8XZ6$p%JZ z8M&T&*nfBx(-cBkhPHO=_upnJQFhJ$ExFW4T>EI%&3QJJTIggDEh<^UXt#6fc3i>U zH+{>Km)pPfI^Mj!1UhbQwFDOjVOVWXW`am6wQ?l1a<{Er;OW3k!v9A_D0tChIF z>93)*4@iBGjK-X)ntrMr{8Np+!&oJHgAnUb3K8}A{OxTQ+jUmIElfpN4LR#(bF+&7 z6-z;i=3WKN)dd%>bw7PZ&~?Eqxd;YL9)4lO_pUDE!X^Sx2iXpRdh?~M6{uIDeEPew z-`37{;u)r|>M)-tyjx78OEY{*cOt@aMf3yoE7LMLte0-521a==Wdfv;ND(z!LadqZ z+t&$e8Vf*p69JpbX3ZMNYaBLfk3 zFkH(qr~b170cVcF_8>F*l&^r@GfZhG&(?4lRWV_(_K1)h4S8B@>1`O$y;!Kwhb6L(5? zr;&JR@!y~lc*e0;vecL3*yMiDF2DXe6ZEkJ^N|bwHqSU!87dKL|IQHmVH|Bf`7u*J z>DoHY!ZLc<3@-8F_umKyL~nnS=@Xe~fxqLF+VxTWfbQgmA*eZ<`}QMC8U>x_^s+dG z4!e(oX{wc!l(96qH+&^}daZR7fn1HwX@sJOM|VT=fFp_Ks>bU`;+;+I{y>9*i^>fP z%gUO*$FH*ffZ4~DF^?>5RmY{MTJuBmXCO|uU{<%Il>a#boVj=s74I*L5(T%YyG`o4 zTwQzmmDV4DS-rh~;mIY1DxP!gM*g{_+S6KL0dFkzE4b*eZNql| zApTE1F4AZ7#JN;T@Hlxggd}VBw*6GN_oaWno#26aKHiGh*dkjLlS~*RDmKHX_QM2j z@~Sp}p|R}14(Z+OCDA&~i?iSV+ItUps=q&e+|EpjqLfNW5=p7ZYLb?uQe=cAG82XD zz4zXmYtOq~m&@hadynjqLWKCAH;qr9{T;vG|ND6SJ}=$%exLI?&+~k}&N;91IoWPwO4TcL@mlz5CT*%<^6Dec^7uzo9ZDht zqH)6~ZwMPD`*xE%=8&sTuMU>=tI;+JoVeAM*L`+Z->E&q)NXH_B9siCye}&+mDN5&i&3EA5RtCQ*=1*50Z6stzNaq$r>K^H0|}_8CTQjbsf)K@eV+@ zYmdG#KB+nos2F=ZfziFXV(J$AoT(q2nYS}tJ-)%X)}>?BhMjBpUTl#?6rsR!LUGl& zB}-hs;S*Vm$Mjoqv5=JO`s=uy;1`x~lve!eRo3O%E%v?~O7mAcC+W9NKkn1L-IwGf z`b?>Wqxj&S(~dB;cSF9jNeZXfB}C&4<4L{khbw~$9B%MEQMtUAyzhfd``f`K?D5e| zSXuYShJcnMua07f898fO!y0e~vHMP;qsOF;7>6J7c@rqK5%M|fPGk|51*#8LIOWe| zlTK+`j+{^tP$))xma}G}I2p6;i^R31?001cy6?JAbRN(->aVeWVY>3pROY9BO^g|~ z^f3vF_nKQ{;ZIy`^)u=etR4?CRC>m-ZUzusn~z!;@woI|1eub6kSOtSt1Xj6sNmu4jP*8g#|?(pg)XKTF+U2SDC>&kCqB=xhoV`quvkWvAq8& z^bCDAFG% zkUQJB?u!R~zQ|< zYT5}eZmXAHZ@E`1)0U$W^{(oz-`HDobBCupn8KQ1t&I*wZ_>5CsEKeW6CH>rx(W>T z(p45ERvo$_ImVly#u^aza`7;tXv|H!S~^!ouwHX*SDg|K0Ys*M(K+Tf|(c%_;g;Ebv)5MN5HOZyF1Wezc_;p&;J8v17N? ziK%`|m;TX%_>;0oQx@Eaj^2(K_MT=#7N3-=$}6pjszPR$qK=CM2U$q#OR!cmyyV2h zOQ+q!d<@da*S}Q5vUk6|8lqvZ=5w=Z%md^1nMbVoCRtA9pMR4rQEM<=-<*_^uFxOb z^7w8X5A)3JYbz9=d$v2uqRF^~`wH)rNZ%zHEUvo*RixZL*CwFJ;<~d>F$af28XTlU2wAIC^z8?P9; z>`4<*nFtmby2fB{#%$Jn?UqzQPm{NlRmS?zqxbJ$*B>0GB8!^xj5clDWnp>j@B>2c z($0fNZZZ1*8-P3@KDp|>&N zJa}|EOLlS3vBJ7?#^y9m^*diK)qV{7@OX7-?2{Ujk7lx~d(`AyzOd*Q3gIV&sjZqb zF+AI{Xlty8jfFoX=Rf?YwaXK|H3_a|rS!D22|-eeTb5;fKIy!QD403$mbC`$v``hA z=vqC8nR1l~a_$wvD2dcASI-Bf4UZ4I@!caKdM4J7oDj~FzM!0%B`m`|tjn%^UEzi} zT4p!b){}ATA-CpeG&xaq@?_Z)` zdLoVZ0`8UA^svA+Ey(pGV+HC?tE=~|j`&E0<_QM-?1ULr2D%w38?4PmM6Q&uGZFnqH0xd5EookJh%0;wwfy3$-QFVYqqzfnD=NTh zly7m})n4cYOZQ(tG4+Kvi`{^2mh!0bD9hPLpS%`> zwsMZSA8|2fQeZzp=6N}%VdsIltWv)m;o;nPi-m?$&Qo!^qT=HFOiPA_vGR;B1!XNq zD_)YpPQ&Vo{j0X3W_e?ThfI%VU)?{#2rJN^3q2f(uO^%nO|))(HaJMDT2*`@IvN#k zqcPswk9IzFRmOjya3s-xMMKP{$8%AHV1YSMdt7bmo-Kl6HgFa>!48L{of#XdYh)XmG{nAX)SKPSav6-jEj}8jRQb6+B*nW%*VQklJ004+ zP|Oy*-QAqIg5^%{IBZW*U#3ol%6V?SYT(!>#Qt?eP&kTw-l>rSa&te3v+ zMAE?A%jd6RVKJ!0aNSQm;nFKY9<6>F^sgqB`Iz%qU8)<^7|RZ=iLZyXg`X;Hl`h-M zds%y{SQU0WY>!1nN|sUB!X9F%*KVBBb4{YOE+ux3}PKIeT zR?(BjmyF;PVXecTX6%mhCpjwmUDPH#RaC1nH3;;b-c_m}YQewvWl>0`QgWG&kpw3( zg8!`K6;vCeaYMCo#lc0~@twWN0tP6?FR@2&T{G5~2fPRSC~eq{Xv z1&5kRO}<-scdwi?e?DK|$##JC^rO>9jOWtdYPMBQWm#r>5~k0ep9o^t<$Jey<*ADI zO4X(6YW{^Le<2fvs@CNaa>nig(z5(sqbfIh!&7_fEOIiVNv3c6b^ z@-5@@(jRU7-Yau0X*_Ne;><`&-betYu3z${99zHvCpO4GCTy+8%LG1G!Ae~%$md%ExmwIaj5 zfwGlxMgE??ieq}FPaet1Y4Xz6*GQ!)A$$<-hgcB)ijn?whwdn+haC{mU^+c@`E@39 z(xn(KX>Eh3r!+2CBDT{u1@%1a8%(BC+@kZ8z0~AQqNuQ6t<_qja!>cp^g*~Fy)CbN zhfa40PbzQMhaBNM%XssqYPvk~Eg%QyiOOJZ+ z@Ul60>KxbU#oIN8I4;43wu=Q+Z_CY-ji~D4acsPdR)7(hb9iL)BWIzQB=7h)yoSQ*ILD%LpRKF=X~z-H=Ge2 z+P!E;_v%xujc3EfBu?Qk=Nh74J0;ViDA)Q1c2{)1Vmrp{WiujIaY7_${ZO`A*MYsp zI_iBkayIJ=*B9EHBRJxXW3OCYQNJg|bj1W8#zIGNgNQlGy6=i6H(D{wHoN7Ht77an zLBZK$b!YrpuTPAr2J(*D4?Le%CUVBPqti5b)C(R6J;Y_h@@QikH zl(F~4O|#R7US8c-9l7$B4}6z%__#e&LAJKedFyRCM+5sFa=%&~YqrK!2bWUO?8Oe5 zDCH0qx1QJHusAkJblB@gpyabWeDPD7#%kzI%1Aw)&y`X3FXXqsZV`HwR6RM{Ta#?c zx0d(v!hz5Il;HPf?oDBW1JjUWe5#(MO~ZI6!HDjudfWL+_hlKg`Td)iL^by5kZyFx zWS6r0o9TIO@w;_|oPHNKkHo(9D%+iryAml(hV=H&^q;B=Di>bibiI7rb9Zx;t*g7e z-IZ0#`rWhx+TCAHY=8GZCR6`oGW&jdYGQnBWcc0SK!0CvPj`1$XJ=;zkoI=yxudhQ ztE;=Gr?;+Wc6 zZfvNls|8Y5-_X?D+TPLC)7QU&Vq|o5Y;0_Nd}3m9a%uw(gk}jewz9hVWm8r+WMyS# z`SYgk_cPN|P~i{rODpRXRMcDO=ouiPr=#6ML%j(Hfc%CMT%aId`#k@CVtAmZv%R&Y zxv8Kzy!o0^?pT>b)j2V`w^d1+y8c4lf~gU!JKh_8{ciK&@ch^mDJ zKnMW13W}2hAzNQvntKmA+7G%kGWlWg3pr?*l7ehyer9a2w+k>2ns_%h`F`%x@)t4+ zO28ZyC3$gnYGOiCdM>h}zGGkn^nV=4IP%?%_1wj>vpo>g4YK21)~!nTu@nU;KEysxdHx~w=Y#6dM!ioA2_prT_`9=@To zZ*XY%Jq5d{j(1vF>)`0<$mqoE(mEwI%@$fZ1|}vZhAmWNUx0(GtUyeC{0O*u{~lrz zl6hdR#ZLe(1Z#0_W*m%=!J(nSf!>}jAe|lUZEfxCEwyEZDd7SBA&G^=-r0338fwb5 zg{h&g#)`sNmxqT&Vnn;1wk>;7i7V^cM7M7jePreVn>h3&ps-&G^IVFHX$H2_GlWiLv6(tod0~6yG^2Mo< zckf1q2Ra*x75Iwky5^3a!I6oX4|8*~lf(TzVDbRAYU=>gNNYoF4XL)KicnS8+FF_B zAS-y;E~90El5(*#-%I&8U4zFq4*xCG=PX`Rwh@m$Ffh?ox_Fe8j%n{nna38MvH7J{ zwT-PEZOu(xGZb`ml*^yisOe~FXqh?oak4T{1ANe|@p*1)cxZThYHGBnp&Xu*nh+bC zlvRSOs%>g*Z*8nDFT)dvH2_9^bLYU=%!l`*ZDqNcCDqNPzQ+sm`FwG0q`UxwvlQu1 zB?OkcSwkdLHjjS(vM@EX zPS3RE%PQ?IF3uhFTWBbkr+|Bn^|v+DH#XLl7pFyshew3@ySyEYq!7Z@BC zm6)EDlUInqlvOo!_7C=VHI)~nrsWsMJ;c2Cl1(j7x^S1?;@RcHZAfaiOmQ9My9L?z z2o78aF|eQfUH7ao_IRfw*rs;a8*8J`{>on5C~pPgKyrlndV zqo$=?oSK{(sw+;4iHi$!e#rf)ZI0`XeNbeOoucqDk&7~yFJF^aP*gRrwzaWy4@=E0 zLSjpi`I(v7u(&{1i>o8~wbX6bl(!Z5)aQG7M1^saWATF<}sc-8O8Xgi7n~lU`%W6A&nu(RQO)afmgQL^Sl$2BWgwXH^U+ep) zc2SI0#cJ&!AjlMQ7%u7Qoh85?_R!epjP5!ue)6b*_$Bc((#keI;c>|+iIILD9zNcV zPtTA!9j~Xd6-*hmPfv}>>s?*!t#2FXB9>N`RAar^1BZMEaYC8Jnc1~{oVPSzmad|jWTTgFK@8I|XB?C=wus|CET|T;f-xo)_bB(Xq&NG~2 z$Yz6|aSc{LKQ2Hgy4^nil=A37nwdpv#_gQPq}ATKxHvgG+rQG&eXgq_M(J6qP{?QC z9+XgA(?9p+(@5XcmoG!;q@);Rp$+1*{gJC%tkdyLosBg^w48_d&&$b*osqhD{^ApB zbF~LLZ#}|dV^S(-Db_!Xj|`1{rkF=+Ex|&xuO!p4md&>MYfOf$Cbyp!!bk2iuyupe zNt*iS*5EX`TnaNHLc^2mDOovqB=6i+c%-4CaQl|rZH;HLTU>JIw`h3BTvMJB-}+eceFZRa?bbbp%0GJbq|wdevy{w5sGPFJNm%b&NniyXkaES zShQr0awI#hj+};yk%N=#m@x0|{X!CQ>fq0xb;xXIbwdxYQqnN);NaZL$-bR_wY@Mk z_+dHKf|z}X^Ce0=nVhMfV_wJj8q=o5~Dldi;+v^h*)+&pG zwFQT6J#ce=_i=Q`6~&8}RGz)C4~hk=V0LL!&%0@|9lOR&)0i%}OOQvR zJwYb@U7tG|J4P0IGEo#9JePIt{Nhuh1A}AIi{YtZvAHEV0he0*z4eb$CCG84FrAWA zv<(akj?6@%iqXWn#@^}0&!5N`nd$fNQ{O*&;@ZHl-A*BS-N*vR5%<+|TF(9f=ED-( zWF5m`Bb*Wnsu~(mHnA#Q9s4@og63cJkd9O zY5vAk-^k#JhPotqq%OlPU0o3vx?&$^$51V)wj43lkT+k5y3--(mJ350|MPMkV(PUMuR zq?o9bl+R#Mh6v$AurcW`pFvwdsw zT<`ki5w)8Sq{MDMQrCKLTlG5Q*m7$*_7WeRcn7A>BIaiBBQ2Vn)Ps+;rPQ3wPE%8I z9zU^VcldmX93p^Tq<$OAjzfYc#bmGFxTmC~_C)!is+x+@gGWkt6(2sht9W1Ok&?n4 zd0yv=>A>tr%dH2Ry9BQ&UXHT6uq-TdMV z4YU>#P}jfE9YTAIpErn`Qh&YKE7rr-E3GibfKGu&k?zpt?m1S@qXOrysae=Ld4S2^ z*Eb*#=nM`75)>5R|poS>a~%+f!3|_d#d~j+Xt4{7HGE2vfO#=>;cMn zdii*J`vnAsL_|eJM@NSE`?@>1S_n~Zxh#3}`l(a$TH0#QZS3BtNnY2n@z?Eb0bh(( zIIQID^-zo6&fi1p?8W0U)GC-fbi;G5JK8U;99>*I{X@bdV`5|D5)u+qQd3e=lai9- zqoZRY!$LxW{JcFq+??!ft*oq#)D(F~DY*9wD5$7CfA+%JKQK5XBs4T6I5;FMB04r9 z8HC6Qk--7p9^RH0#cs%75E42kB7RFSVDLcjKTY5fWfx$sue$jC;aS8EpadGjWBgv_0uuK^E&FJW`-~b*qf3#oj`sJ-QZ!BDqK5@FJ)`0i zlhd>F3yVN}gvFL(usAIAfE|_mXV$T-el$F<>lvQ!BP`q!o6Lb!QXhZ*O0xV{^a2cS0|tN$n?@wH+K-% zrYB{iu*m#;6c(PDR+8^$XDrG@d+3CeLwIy*c79O_rnIc0l2}zmBoZsDDk~}pczjtY z22oO2Sd<4EOG^fEVq|Erudk1nUvOkjk*mP%cvNmyUVceQF&qvrE-C`wkjpP9EG{mA zmlPKPMCpm49?p(7cD{aoZmt2rzTxQ!DX7BCit+%Lgt*x3g2KWQe0?}5g~ONOO5tz}7K1{gF&GpE13kmxMR_^dNx^=e&Yr2sDN&JGWetsGC1u1a zLR~k^+&4NQuLKJs-};8)JY*39U0PF?;_v1fkqbv+G1w}wO=xXxZ)t9BY6cHzLrWsn z)c~f-aTqibUXWLipO>4Rl?6)!9+sb5h%T$HBZOMV!4eUb)zwv1SWJ02z8qgxR$f5> zKV>)!3QJJfZixgyET$BPD=p3~MBErcU+cv4k$V{;ESuCS_-NUUlgVbFQWMPSF#0Co;-9qnMd-wJ})RmApu4oJw6qKhyc}0ripN(Fs%uD1wRKI6EsgcaG(vl0V`Vu2LL$}F*42WJfHx3n z)pd0QTm`YdzOK5mrn#@TwiJOO;1i!YWM`)5pvrMoq`LarCK47Hu?pA%JmFClb#?VE zq_T!?fTE?fy&YhJwwxX9EiF(cqM;VzsESZgL8t_e3dkzprLv~FwxJF@HT5*(N(oKX zd4*UUzNV?Zwy_a34^V-0N@IOXD-l;!Uys3+0*cG(%8PQ~b@dr$HZXWGx*R|z)ipLZ z)>q>Qz!o(`FoMbnz>P_*wWYNk8!(yyH63m3U?bew1?|t98-acRsfJixMF8GZSwR5y z10Gxsz*SY(R96w}h^SIrd=v^-RDiCj2R(oQf!t05@PXzw5~2`=AvM(Evy)-P$il3w zl5#|Ba#c%RbwvdUDhPGCyc{B@ssaVa;VUak5RL5(EdW7#cMsTjc0jvwC~*Q_T3ec$ z8tWVCYinz2AXg$(mg8|{cq|r!2DU?Cu;rEIl@(PDIW7@6cxna;k1nqR)(7m6NcFXK z4Is-yz!Hc}%}q^+^qe9jvKW?_la)tr@N!8yB#FZy1y~hPzMMiK~72_05qjoG#p-1QUqKZ0Y{QWp*ACjYK4cr3FW|b`gQ!lQyghwATQhYlt<( zazsfb5tETgsH*L3Z>w(~86F<&>Fw|B0${qpHVACgTbr5ypS7R~ViowQC@V#w5XHrX zxp{fHprbkYxkd0|RD?I^7#?4attR5Yz^ey?0L)*&qX}Sk1wR#4gc@RTJ{k=#3HO7A zMm986)`DF>scu6cexQ+4OTrbDHjvQxs^Y4icHntfd{ggmUuSQW*OUj=3$QXQ!t00PrI0eF7} zaDQYeo=}a-DFTa6Vr+hLMl~P~@Cf`KQVp?00u}~bmSYG_Agfs2+SAqFU0V!;6*hIX zcK3oD=s+KM>g@)+wSke})C}?}08(WI4$O2IFc%dS$gQ-uLy#IlTC@gG4`#H`$c9wrj$^L$DvA4AYoB~2Qvy-Yw%zRffpAPz+idBNKASRSd(Lt^NVUa>VPW) z9{@QL;5{S&23QY_^V)_cfDL3iJG%P^hsXMdMq6qc!Nl0n38jd-0Y4i~1R-h#Btec1 zD8geQM<~q6&4i`K$3?_O#)sW@sA?qQkQg)^g@G3oq00!>m4tF=F)jjj%}7bgNY6ne zM!>Stle6GO_`15Ls&dHNtBH_VE5Sku9IblOY*4nTukYQ&!t!v}P){qE4%@**)DAM# zJzXH<1cq4`mq=*Y(p0n7N9YCFjx@* z_*!`xx&&I}Gg4FIW8-6BL>wH@3uX*7p|+{67+zBYKtOQ>08xf z@~16e$#2>qheQPC0@E|7TLfYdSYlFicw|6OuwO)!B`dQ}MO8T*21`jwg@X)UHNF&4 zn3t8Anw%ID8x|h!o7>qpHapRRDT9V~RusA#EQDocSR9BSKqOF*pPQWxOG|@g7gqMp zgFHJG$coaCP4qSa3ZZlrSRDZ};A_D7!Ehv1Lo*NoEEwgbU}i2UEY8VHk57sTi}3UJ z_wo&lF{}{Bwh-Wj1qoq^Xc904zyr_E%1lm9h>ikbwNFx2>+sBQM{|2~1+lg$v#bJB z3KnP(mJ}C&ftm*5+xXb%*!cLuj`wRIv$-m%p9AZU6O#-tv+>SZsWLc@?OFD=jH01bC9- z!^47u0z4y&DhEFFB0+3{!dF+|z#v7V5Fn5&$OCASlj5SI!a{#jt^MZnOdV3*?tiUo|t399Vz_>kI-}TwDy|RWQwG zLy>SyGyvo0u#uP%#%c4=gn)0R*oh{yy$5Z=HPQj%SXy)xg6;bFd`^#rXvVIna`lk(LZ%ZeOs2 z^LBL(%_%Dh3@9kh0*rvDKQlEgH5D)esEG&(@&|>Wor0538raqpA#oM8t?k`oL)f%z zaQYD&6%_^cVKLFrW-N9?Vq(Ca2JFXDQh}DV)FiOAiHZyl3<_}faC`0OqGW?>AyyS8 zB*Ahs(lUW#f>J4I$?@^g!2w_=Y3t1eQ9E7^3v4Y z+Q!b_&feZ0q*NRo?cUnjni=S;KYMlif;%iRA~ML=*AsNu&D8~L_d)6vl(MmWeMk1v zrAxB%kF@pm^ zn|G8oG@cq+SXo+_gM_z*v4NqXzV7p9PoF+fRa1Mcs-mQ%@>t`E`V*aJ&vc(YeXa+- zzNVwC`rzUH8%mFk?9`7AbG5gAYj6A7{H5tD3sYl2zJZ>Wrkc`yfn&Ufxc2iLJ0&iC zUPM?}N*-qfWCWo@5tYjy?W`w<*Qe&T)iqIb4BJlByw`sz=cZ}r6i@qM6aG* z>NscnR{j2c6|Kj2@7BBzD< zkDolo&3#}GJ3H%E1_nkVh~nURIUqeyT#PJ5=jS5OMLGF!bSVy9RD`Y|we$?W1EFbW zYh(N1$k@!nDkUxBHa3pE+(!k3PM#DJ5*9fta_;=8!(4}s9z6zV1#U&>laU-nb^8``9~xq#>a#Q1%*Y#rWav|T@!Pk z$*F1SnONA^Irr_|ci`ZD&YdjVcI@KV&9QR_E87khX3#VPEjUvI=Tnqq;4qJZe0_E8 z%hKY~{37{G+^v9R7V?>eneN`9CM>Er70fXa5z*mbP&=9!ElzaQ*0fJe*JNYoS@v=t z*u8Bl>mF|YGh!#W_wL!Tg^X(Z@mpG2D#~h)m6ac=nK*a`CFUbbs~X$ddxmG`!2#|P z83j2w=v`VRBPUy3TKv4SM)qZKc4~ZdWNdPJdhFf1@$q+HZ`9G&($>?{)X+bO2#jxf zSBpfKBnG;f+>;eOuyg;BgS_X?^Y7dF{?-sbK^5U(tCzw)vgJUxavG@vb+Sl0$_H4Dytqs)# zJc#q4&?>K>s04|@gPcqy0c_AqK_UZ%M3#U(MnSxnM@Xobv!kV&?Ad**#3a{O4&GkA zF=N)-R1sUZ^YFP*763uVP^5 z>gDC(=H?R;5gr;I6B_}of?mG9?$!@a?b*6UiuZH9M;5D#4qj~Wa4W|8TSOMdL`5Ya z2?$tr83`S2r}gB8xv4zuzB|Jw_Q={q7lIfA z0}@p!*=QV^Fuzao)@?93TopaRyO(Z+P!#w2tcX=+-6;7EuKk?*_{3yxT$h!RSJO9m z_VoD+9TkP^V(je!s(eWWSn4yj5dl^XX%&bFzu2sdEW%(fA}2UBy(l-%*GgVc;GuUm zDnG*2IV207>1PI<+1W24zc?!;Dauah^Y(|{K_1R-PS16}NM< zJP*voqGOFubC8A3`MqP{;^!K5VR=m!DzI*Nj9j9yt7 zo7j80>EBTC%ErL+kqz%&$sML@0x?zGk)cs3LmL}YMM_#v=39oE0tjZ~x{1ahItGcD z7K+`+g}KSHv?U+f`=$2myZ72ejCkXAN=~%PE3GTkI~-Wfo;%JfeB-IPx$c7-H*Q}! zIu~$+SqZ*P>fxOugONoXI&KyRT(;!N1xK24ad~|@B0%T&ni+c{Jl%zNfXy^1H^DbB zyK#K1DL*jK>eNgngGO@a%4%2S-X^|mb~7Z^k@M#`n}_p8#Pi0?K2AU1mp0-~EYu3x(%A+(>aJ6@sL`6ha7ss&~%*rNE%=T6yPo!HhbhoqHX zIS0gMmvt^O9T2&$ZuG|b)ze!i80+1+oNDs2Sht4{(Ql{i31Addh+V6Y4sE07Ie%SI zN$G*+Q{5LP7B&tp?%=ouI^qBsY!Hj5re|h@s2^-GU}=f5;X%HhE)KR<=B6O((g8MA zzJKSM^l4spnh|uM3Tr}TicU(+z{J$(KxcCuu@aBUiL^Y(v6RU2FbKb}fb z-9Qx>5)SqY@$vC-Ag~V$_V@9Cpu93MGI;UA(Dfjir_KTN@i2+aCfx0hfX}eWjtu_r`67drHcx>YCcmp6k6ZFa)#X|Cp5izbUvsmH$6D`BOkYZvHK3 z8^!-t$&Esr+J962Yooup{-es@Y~{}s{jT=^>>@b*{B!vi+5B^5Kkj~4`^yU8EEaVCk1-u>qGe{|v38UYw6UkOezH{>g--!$0T7_* zJ4e4!`iFS_bGp7W4p~Y9fB}N}3lI9r>aS4!2KB#o;g@a;F@ZsEf{~I!L%06Yt2f5+ zx550MI}+G3ZQ#dlFd`}O1I~umZ1~P!b#TKv5R|Wk{j&VusQy!N3~&-~0kZ+;CxMWl zB>_p0{1v3l`#%q}jfy`ygvCgT|D`HWNJ|G@GWcz)Kqi3qTR-h{D%`927EB%AdHHP@f5HQ5Z&(aC0vZWMAV&Q6Sos0qCv}@7LU=Zs z+raZHFjz^{=D7GBu73|2AV>lLf_eaHhuHtUVt;lGvMW>-Q2mp=HXH%-74zTL3YGu9 zQbMZ#b=j;WB?)-?1)@#Al>9do{^-KLQ5k~&i(W{5qX;V{4owRGmd1ap(jW2&jzNHf zfAxSrEcJi;#wO|iw_E+Ey?+?^hk<_>_=kai82E>Qe;D}RVBo@q{{+W>H(HdIzOW(x z38MdI-Ay$A8KD0rLz_tcckui-xc+bQ^WVVpkB)yB_=kc2Qw;oN&gJI<8yofiQ&=Fq zf2#dkZsu>l{>Mmvr?-E*@joi~uYlU%`n#gdcfYvst0p#c>YLAh)cT)a|JK^~R(~}9 z=M{hVE_Ci7Auhgg{P4#Ds{TQq`FEB6{fobD5@h9}6I4jRHv%A765#1uDd^*`aQ^+K z{-Wg9HY6m@Z#Mt+89E>Mm7v9cE+a0!Sr+*la2q;*YWElY{S!P;DT(ig$iHs?Z+-rD z0u9&%1cLuG6@0&T<7E1$!yO3(^tIa!#sS$sz;pmlY_AP- zezoF;t-s6fGy&m7ifvZd^nwjf{Yx~P=J?(p^yYC2bXEch)X-+``CHqYiSe(uA?kmN zWmDxw1@QK#*G+ZcTxhe$zp4wV`#}M6qv?&5GZqU@OQ6%DA31sm$IqX>B14G+yFmj2 zh1g{8n{Pm{zB34615H842SC8t%FnmZ8>aaANZ_Z|AZ$M!82tVRNcYBXIc!3KqmaKC zp%B5)^>1y911>k<06Y?s;t*EUh7|zJjT^t;#@FM~Kf3wL>l>Okx&PtX8$Pnx?grTJ zAHH6L@BsV(<<~mj&GL7e{IfDZGvr8{^O*Q%SHB&|Zq(aE@Kpu$;g|N?gacXd&)WDG z?m_y$J2n_P8(*{knT?;ceI-V0vkYV{h)QtvUug5sif;7&8|jfdba|KV!?AC0hYKzLrvn*&!R3d4o7F?q7Bn{9itZQpF$ zlWluCStnbQZJg?a8&B?gf5!Lxh`sjO&)Ov=|Gzi@KRrhi)#4n>7`NGA!4wqcL%$)8 z@nG_-InoY_yxCqMEvq5=Ml9I!^_n~Av)?BFPSDcLPqPmjVX@y8K5BMe3 zJ9geZ(ptSPi)60YyXm4?7jiVAK<>K{f#ux{+`^Im<22OLJ$GOMK(_chrFL1@a%ypZCJZVml{z{V<6HchK!nooniV2R5eu<2*#!rK2N&XK2N2rYn&$~ z+ly$!W4kWB40=-q!NC?B`yB9Tq%3+TFWx-_ICrKhbOdou&t;TD$*6)oUP39)7VedF z)7&5RsulmWjw{0*eGuvFoR(KC+w3UT$xBfN&!|sPD$WNbiOr)TLx)ku;em56&Lv9jE+uv; zN<8|~9s;c{YTS!?INp43M+@@L>he}XNrhc8{rNg%)LnF>m!#NC@fNQaFQN(~0z81i zW71`B)JX0XoRh-Ui=$kEH20A*R{p(2b`Kw~G?1pGSF=&Je66?~_Xs@(s9EIcx)n-V z-&=4(rG7CjACR|OW=oFgg4RhN_GBi8NTXA%or~;8@40cr{(LwH6PUzuP!%=1=Uc>v zCPQZdKHooTcbi8Fk2^7)Ag6sVk$^=mGUV>Ge~JoA_vW1jpbC|HPw9EF>@3yI@8n); zv|lH}HA+m1hKx0zd8Xxj11Bxl6(_&n%-7n=Yh}8ih%~=eU0UAU^3hS5VKhbXs}@0D(rH4$YIdRVKBlE1pYzsFCq&oz8aGWs zVW%9ep7g%Ro4lON*KIOnM_u{HNKf~$D(fbFpoQMgLUP0%24(jNgf$ESxT{ZcTrIR` z=1@kiMw+2>Mb6TlB0N~lBXd?D=*v<3^ znCpeiN(Fea*p&fyi1LE~!hs^C>l-#g)P9PIIvI#VX}7}GIgc@B&kEVoWn>|4>OoHm>f`0TBFK&K$IVAQP6 zFE%b6(H# zuz-TY0()}=N1y?^*R5nCC#CNf)$8v!6d(|Wji75t5*f

    3NuO(!IuWHG1KSbejuj z|M?Z9eO18$0I+dYHQeJHnea(rLm~C8x6k`+p#`VWViF5p@F$ZcQ0MdR(s zO{L>6!c^J**`0@Dv&KgeqB7Cv3yGAw3T*^4sOc?m*lDBr?ud2b!84<{&B=|?Q+Seg z92GJI49EF1TK#M}Ws6CHq>uGFaycwko9|)#1!wPQnc#vCK zVI)Y7sok6#@jjhy;$qTEA-%@Vxc%6vk*~s0j-q@+fy;le=mJrrv zxxiE~%gv#OJ;UC`)NCx6{qJ?IjFr`xeRibh#$HNTb=-<1j}wB*7gUmEw^=ODV6lj5Z_>@=n=R;xZB(Y&txm11X6TPr>1W(Ygf6a_{@b4j3xK$F3!(w zv*6n&F+$JtMmi%>-JX6FNbR3xF@8$^+Edt^S!_Yk6?kHzfkIG5Vdz{$f=4h6>YgDb z3!d`8v3vE!wjOEMZZGzjIy&43@`sU<3fH;mP`VF~u6K-lf9#Np3PlKRm-}U_Lqv_N z)io%pDh}`{3N@<>c=ueu{O+Gq8Y{z5Y&j~_a+*l>9GSZ_y=rOsq`wbk=XPs66xNgE zaEi*Q7mfVHz(yVj;{;CgI%rs2N23?2+EQZb92=-`a2r2%AMteRa?D(p(jOArwe=+UARmE8gJP4F?h z+2tpv{rh-*-%N~pL6(AJ2TQzpOr?VIC>VXvuP8E$bd+pK_1?5--~3V_%rlgGF)j3R z^Vg{W{W2p-TP(cLVL!Zls3$-NMqn65ZLV^0yAP#hX%n?W+g^1-5(B|tWw~&IFp?*W znc7?8Y75gO2*b5;Ri!utjlDh)%BX(DIPPv_km!SwUebXNQ5{}b4jccigvVJQ;dMR2 zK|mA6ph`{B%+QwoJ%8sO4i+>k>tH&6NdKHVTyCbzF_U+F7q4!?ylxAS?R3QZsC|I` z7HWrm5L#~@L5_1sti{mdS!e%D!mP;nA5gwh4kq7TVC<-1;Dt+)m! zv7C@*cwVenCr-=g*5(=~T_#R&^rs6wv$BK&d-h)_sk_>Cd^MY`z#!Pj&4<9FTBH#V z&$h&wQN=Y(HShw_oLWMw%En>%K^mTroQF0b14R#UI@YUnVDDIBg8)kpm7=4Ja$uKD zadaU#K~-o*Y;GzZEm6Jsb-eg-xgL5_fJCovuAM;=Nygv5bW&y4<)VLXwSF~sq}3Ie zV`gNwDYUH!^flcUWr;bqp_`>XbaZt@f41^C89pPW3ubSp^h9DK2W8?#^pY^%1k$!rWs;3hT6e;)p8CSj1tB4RpJaswhLon2?rRk*4ZbI)Z-m zz1CHCc84sb7>5^B2Jk5W$I7jIsusb-j=bUlUBGw7&(J*@%fY}%$&QAU0%s#J0g{b5 zAkY2BG}Vc#W0&n#uX*6fVf`G!77J+Nxohq+D$NVRUFF2wQRf)JaNvos-B=K6-I21s zQa5`SGFfD<9Qy#n|A|);HmXMWdfIScJuNS717!9QzdO}^vA}Czg@0C6Q*<42HoZ0n zpt+6qCO5G+`dXzcQoDpTU7OOlzr9(+k@AFu*^~wZ=-{#{6P**tOb&|C-S-;=+1$Cr zRjA=v6TdqfG_pPIGxAj|*yyAlc&BPwHNNa$T%8Br`u7|yb6o_sE8p%6a8S1SXguw6 zIUNrW*Xx!A&-TzY*B~$igzYR@T?eBW?i~ecwvsCP5$Fmzs~Eg$_*29gBlyzb?^TaE z(|@1fX*F*cpT|V2Yfz0sfWt(&ndqyQ?-c=zFn${ysCfOG-PPEf`NPKNi*6F*Ag9k_ zNkW?%Zt9n3WC}vBsI8m5x@Xem+ZQmnVdnW3Cls0UbFp&#y`Mc=*?^_p%v&yL@)bRIuQ%-V7k^&To`j{ zD-!DGZjNv|^R*YnbTd5LZD=0Sp2jQgA4AxtDKvVCDPW0{<}f8fgBQ}x%$RQJrwJ+L zMWW)v@}J-c9}!zk>2Sqyh)kHnAowJJIa+sJB%Ds^cZU3HNDRvHa@QLDOfG` zbVbHE(G)UX@i4Vh#FD`>p?WePI2~AtvjYfP=Z{bMHfaT`?-O`J2p4a&t~@5fhJ(Le zV=Ru+wac6l2kT6X6Sl2s*@~%(Zo(o7QOg9g!Y5?!*q^zJ8xiu9b>oH zr=Cv)xc&{E=lVh#eP4SpktRRyG8X7(#@I?x*Ovjb;L_bzUty~+`G&P+RHQwfy4_xl z?sBvm8tS>p^)gG0Bur&u!*H(%eF-PA?|e-k@yKj43oYy!r_^O@QoAL6UsDm!NQ7FD*xLw6*5O#%Ed%50$m#*ViS_Ya8RZf(x1GgNX4B zef8EUDqS>UjaEmMR5BiUNt{Tdo$T5jbzU=}yla<_48Lw}kNf|^?JOXAUA3fzuUJ9~ z0n@E!3oNP(wST7EBzPDd5Cg~gXj-4s?NOu~_lwikXsQx?-o+@31B5S3T(O z((nnNLxgL|73_}UUO-3Hlq2cfEtGaCR=A>I@CDq{F6F%1_%==+-mrFyTG$s_uuSNz z`V5m{k{!UFKgVah#}8f}vp&{jGI@51Rgb452te{tjK|A{FS|*PFG3 z^Yi5u4V0D9$D3Ke#hX|?qvRGM7jxkfW^DKAjg=A@urXFpdswA*JF~nEl)6n@Ve@rh z5aq6ynVYvb$XSoI_%yfWCT%lY8RMvGE(if)`E}k=J{+nCDr9JrxaAgU8s2dLVf%CUg(B#eL0q8qXg0kT7n<)>Tx+UQR~B(RBYkIC zJB<&Dc6g&vu>x{72ZCF@hev;UmGvr?C>2suPs-1R-eTYEK*}Y!jr+aj)}q9i*5;M%2*B*B8D@1q zNO_w`c(oI{n&&Uh;uZd~}-0J29|_N z!EP>@!tKuJ*%uqCH zCDlm5L>49CSE&LQF9chfVzcA8PMwg3*o2~dIZT8?wn)iXXa@|NvcS+yT;tFpt;E@V z#J37|4m9cM0P}>}AeJf2=s?c}38FkEs{*FMLwX^j+r}_)wgGH@I@s#ZRhqKSsWI68 z?35E1BDd< zhbvP*HLZ8Ev~?jX-}X+Yne#X08*e*q#liFez-F>&57mND!Xbooo_Xd;HEI`N2S@R8 z+x(N<`HYx|Y=XGG>ue*UH_k6v0xAc>2-=C&+oIygy5|$5dwdNX(KD1>h^drEau=ts zQkq;*pM`tok2ev``)Fj^d|b0@$oEnp6;1_x%AlUI%yBQjEf5-xSuj_kZx<ezR@m zA9l9d%GY?fL}v+KKmq)rO|qes2;JW?bMhcGtpYk~JFZjmB82X&r`iZz;6_akVLR5r7(n zZ+mR3u~?T53NIC3yWVO@xS5*(NvXar5^REankpr|$lG&Ap0$00q_mxP>-2`Goay#O zH1oi?Selfyrk4Yr&@9Xz{^V=Kg94?@ma1g2`z62NfQ4S}6E0ili|Tpz;*Fd)+{*ex zSb(qiBTVnjfLv-Boe5_>8=4MZR#2f%0{#k$E+P~fu~Hex--g_e0fABV)`tk_Gse@+ zqxQlxnN1aZv3`aasFeO8)AV!09;huUC-@NI2`d}Keo!u>TkmpPSg)#kymI%M%C+VGudFEZKE=jVK;C)gqi(_aDk?{3~Jm z{UJB2BZqct_a1m_k4Ir=mOMo|p@xB58rQj&xexojj0=0|{rGeqUQ3Z^r0ZLz=>#mjOX--xKi{ zDhPP;PcCiIK+0gYig=7!;9rD;5Z5qXMs0c%Ev+3nQgSq)d-{*3XRA2~wMQf!i2zH6 zdsgG?H*;7Mau9NzbfSAg8)anY3x+IiJ=}#Q8U&jICSG|0u(aC{xsK-T)kINgEQTGO zD58)*F0u>x=43N`YsZeMn;`@+Y7s3qgK%;9ZLaA%39Qq*0mfuF~l za){Z1j4=W^Epu?on6j8BwpQY4)wL>x0WY_j==GdyY$2>%A36MZIGsUgmz9VaxvBTB zB82q>oR?*&J^@LKTj>SH?Z!0~zGIe$!h%jta_|ka&DHoLNCrHtPrIF+*%!kQsN8;` zcUt&eBMl?zjZ_n-va~v}J^Bz=VB#!QQqPj){fiU$IUs3V{wsbo-k6(AU?bQJd1zZT z8YU)yyjNxuWaNd_zBbEVHzLE=%ZIjnFuT~X50VRIM@eIK=BA{wRku@N(U9sjdeL@K zPvhE24&y0_Ny`i05EfI|iJaNcM1(g% zwi&vMRE$g)5!j*APP^EVAYjLMgPAQOC&g<;!gD0tBL6&4weQO29WFZ>*X0ueZClWV zACsBv<3FoXn2OrR-lyh+*<1s;ZP?n9V6IlhO7)f_k;XGht$iY2yp*_&P#KT!G(l<3 z?2d4)+OtvcWw8S%`GkinW@RZxSA34^yN zXgE20y!?0d6R7ic2fcb!e3DlttvfMzQ!O%HeV^sZ+ua@S?(ldTbPg*@hUT% zdabzi&dUi?>|7$EJ}gw?ok6vryd=qBNCVVxh@$QCbjeTg8=e}vDNHX7M=jjYfh+=t z)NYYcYOjGzR=ag$f^AVxUnQ6Z&~upTS)to(zhuCj)(`XMT882;?M4!d<9aV)EQs7Hj8T7XU4%lv3-Bqe-4?Vh80? zI4nJP9}AV5@nX8z+7bjI0om9llVO*z@F=V9SyPHY$09p3*XwMP$cud_C+3hmrDTRZ z6Q%{*KJiFN6>g!3np>)4Y4DL7kHM4Au4xl`eok?iD&?V;=pZ2vEz={VVbVP0b#*B+ za@0+U+Hf-YB&;A5a}FTv0KkjrWM~2yvl%NIpyuXqoQ4NHG3=La7`4kGenAl5!)+4c z+!>>koO~vHxgE-7Q&f4MXW{DfQD1HSDzQ-W15B`=cYgnK#U?uH?jme)uhy z!L$&IwzS`&4*FJS7L92c1Dx2`1_R@kLi<%}|7v=i`%6W#wtVz(8lBq&`OAQJlg($6 z!AFiEBh0qgR_#3pcHdVd4)8iVpePg`DMf^aNs$lGYw{f4mBUwVU0#AEh3B5O{bJEg zcNxbX(YKgE9%0Vi(odlP@jxfc%?iZwEAu1S05uYaF$c)9SK9Er!M~2aGaYLm0tkf6 zG#qT`4>CrRN#9SS3SABudLZ^O8Jd^~7TD#fyJEOC<(tLccjs0L?k7+TC<*RUPAa$elVQ2oYS9^BMkEF)9Q%4bpT&z+BK zGkgJ0MPUxglIg727s5sT_DyImw=%CXmMgYb<(8yHpM$V7H2T13gbaF^*po;(q&CRT zzG%8W7wY~zQd-qP`QIA*%%TN;5EQwA|47Z^DkMW$S=nB61@d;7FjKC8m0 zdQZl^D%RJ-Ht2V~6RT9=;C+ae36n)+uEew{+FC!{_wj{`SlG?ZNOB0!NO9nrp{aP? zKK`thjqfvgJsPkX?1TAaLvy4~+y)5ebKa#m6CR?}sm+ovTvw^T76_SVN<&F?m5jqx zeO}NxpSoUYOV_w!D^rRMS4E=ig{}fgZj%|dp-fb+H1^lpdmfz{x@9u^=WLsYmtJY; z-Gm*+j0QS)(o%S((pX2Sd>V|twe3mDufHs5DHFUj1vio6`%$eQ!uBR*i5o316h1R1 z7eB1RX7`J&>)N-*oKQdSaNZ_I0W9q>=LwB5hQuzBX#G5<6?~BqB8U>>@7!C@FId(N zTlFyM)>Qd+QFF8!st0TWclY~5c=tZscOmGYDW+a<*1269Ug9OXqyzdu7^ylYrc&F3 z2ZU1^s`JHBk^nAr~(s#32NKZ+dfCmZc0XlvZbU^QE6zyhGAx{oT8F1nzrC+upt_pCRmi-Ip`Hc z+$CqwAd{6`5m1grS(*u(9DHg;`q9b*7*4kd5ameoJ>@2cSMth2$4`+t+Tn7WU&qd` z*0*MVP^bHpFPXC#ZnAmre2DuXgA0(T+cLo zwk09?ptt8ID^+O;#tGgYVV@-^*LyfOO6rA2KlxmNm#VDPg&SvJ<|a7hUyKc0GDwHC za=yR_Vr|A#LqQSDUX7KQ^P?RK2On=$nL*#5cdvZxjt2`*67FjQr1(HElIt{Ri&pk| zVY#}rxs8RXMcA?O1zk=-x)&n%)PY=wdFa&1h8~#(!2$XXxwp$68T*-qpqH`J1ki$2 zA<$4kWA25Le91=K&`|S~ZMxgL&D@Re^Pp(Ms&_%NhcU7e3yQO`8vY5p=~I27Q>lhu zgRnA{E>4F>%{&@Vvk8G!$w{x@>h$Gy4 z7R%%<)Fs2tZ@#MkQ$CJQ&kbJfbk`o*M zhfmZE$a_Qi7;%GV%6I9(zJ9TV{sM#qA4_#)YH^3ql$5*Uo>upnUwfGW41u0n=Ze4s zhV*m?s5QvmSpS@Rg#7HBP%drWvu#(z{buyhy^W7y{0RUEA%kIp^m;*FFF*h0|+JGRely zHeXqZeH!%*5fDirXJRFmpk||o!5L!57OUB?jnH1DLEz-Vv>;NyX1C=6V!+&)Lhsv{ znkl$1B1s9Ja(Hx_$xztu-9F(~(;Yr6@4X>zwOg6K6&1U4a+-PWXkI z==rQiMqFGoSb=(gjRX;e2`7mBFa`0!d=(Yc)D`}=w4JjaB`|F)O3WhEDX%G z4{zFbHg0qt>^emDV3=Jk0XBELII$433x!+WZv2cd%$UN84s5=t31*z=hn@%`x#x#T z5ql$b9Kbr#9_yxa_IdLckSNHGrO3;-rOaQ+J}{KGnvHGxG_UJqAw{i-8T~-=J009u zjk|VT|FpvSV5?%;;+D4&mv7igQsDcv<6=J4$)cgUd~NM&!)oA!cB#lQRx1-@*LGwG=eoL&f0k62 zg>4ctN7>Aby4<-Zbgg9#Z99qHi4pWkzAh!l*ZL;F?IXZ%>TVhK121X4x8!bos7##l{I;p zW1jHZ5G`Y__U>zjk*#WhiE{=M#!(g8?S$xA-kQ{5#BoYg@onhQj-O$5!Qmzd0wV|0 zt0r&S$r1=AH_?z|7|c;b**~KO$7$@JG40e?a8R`vLO=8@PC;SUpvKy(hYKzMVGn25 zX)#LX!E8rr%*Np)(MWt(1&vRJCtiF$+F4kKvsUoZ(e=)I6Dtd|Qt_j73m4hmSoctW zYt#H~qnSZ-fjja?tLI*;mZw`SEvVQ}8`aUaqTj);R%-9Wm|>OqEwZcI!uc(AS|`k^ zdWJGcpHZpn42a(#V(d7!j9NFyuvJRG&cd7|605P^@&+L0g(;HMlvKRM5>mQr+R)UD zyiMAf@JSk|G2yf&>(W+77(!nW9I!uJVu3(JO1+VQUPrKVJ_d?*p+7tPbVK~nUm^T# z@%sP>nc`#+WwD0;V`e|%HhTPr-9?SoEtTRMFHS?Oe(C45M8n|%s*mT6UiGIIufahn zR7k(Z06l-6_q?Cb;?^eFKyOCAR_|?zVU_q$k6l<#Bf#U~yP<){12V0i*Yf<0DJq|7 zTd6~HV*7mdm1wWiM|wlIxXHiFoat5i2Ghx}!&r4KX(anjK2d(5-|Fbp3?p#YVx@>< zq2|%!s<0OF6+Y=K$2LeIfG`lV@1zzugt+(UcR6}hq(+^q>`x~)mJj!c_=I+3WdkXw zlfUgp7%?|Amf3JN0rxv_#3_=nlB)+hHPLH*P*XAuQyfjh)eWpWW^5i%obH=VbEK1r ze+OLR$-{0sIz3ORJ~HVlh*50pmKw8&{?8|gKcD{`4Euk^{{J(Iy;T@6pSG8W`&$9c ze>(d6`a8PX>Piv=48(Ashcc|0Kc+Gq1b^Hvk2be7woe|tkgEr@9+9X=cia%kSO+B* zl~or;d+Tr@?Y0Ce5}X1e)fo|vC;n8GmRA9HzS+!6uJ|)wjmFr^aHIb-0g`$E(PX^y zyXLm{R;K{DKI(KY(>WH551k>>D61J3EMLChZzD|DAt~P5+r@QssY2L~&o^E5)zYgxLmm z56tgf-<{56t88i39ehDo78Dny$>!Fxz6=MiU$pc0S{Zkj(6fgN;2#xngtkpD9DY_i zYpXk_k6mM+J~v6!++pFo{LRwD`J1Ls4H?ciCmJ!@5c<8t5&a%1KrfMjGhSVkmlwd> zve`tdCipg3Fz*z>>nHBGC6yBV)VC|}M6ssP!E*57T<#C1&B6zW(6!XP4{F5y=GgqRqPlI=mr#*;Jj6k(#n&M6ZlBt`U|h1b+y8Vm;Q($xk-zbf zCj~k6g{!uYw_P`$br5MI;U2WaCXAO-aD6CIdApAL*Hi0P`h}Ojc7Jz^ihJk(b1-?# zD0}{=*-@vV^tpjj#0aWx+k$;DSAp!5g!{U2;?0g*v#zyc!XAS>55@{SXC z&J(zcS3z#y*!)SZAs-HKA4$PRHNtPnW^E^^cx3juGV#GHF~- z?jua=9h(?F;UfQawuVI!02(pkTypsg1^w%JKT=};Kdknrm71A6LBE7%DQ0UkJ#*nz z|CS73me6P)fZsQV*vBa<_$D~?BY3avqZfXcuiwZA>Yv}W3jwPB++F0W#guK2^){IG zj&3MV+8dLY7n6<>nO(hN{81yJ94p>T$|fO@6&Rjw8C7LE%57KKD1+h=PF^Y14jK)mQ`jngUh)7*8r=b(@ynm`V<8%xurxcMh?&M-xaL8t1Pc58@@%D&x(tX&qDU<*zfFYWIt30^ z$2>Qur+%CI2dfEP|7lfPPi%|iD$E#`Pp=eHjnXK~J32|`6yH}8GOOd@K=vvBcoB%} z;~oge2q$Ri>d_GTre3i~rG&n~Z<(?6VJ=J7I=EInv>HH7&t3==?+md?rEr0V$8}oF z-id2Kb?Cj0uHQ4@4rgx**N~mIFFmU8UKym)t(AbSUo7$EFQqa08M0lZsA}MlGnpbPdd3Xf=gWYh}WM#u>*tJCX8=F@7ko8(1n8rss&wA0_X2;{F z%cbn3lK*dVAr~;p{v8TpAhZ%iy+8AZj5;XrZ-M?Ehl+P&Pa7#dXA5y8F|Byp!YCal1O}q2YvO8QCpiaicO`@a7-E)3> zF7uW?npn)@ZA}F1#v8!qwiyyvG_^bye;*dr+{77)gFooGbXK-m3>b6!xSr40kMS~Z z(5~8?f{JFq=Ri_Uq5V-9dLtX(_`vi*ybBsBZjEj6%G~Q{<7CbqLA};P0VE zudlq@AHQ*{tD6d|4F~vnU~jrmD9=d=ZkK1kLuqX7U_rNVEiG*M!!O@M4#(RlV~9Jy#g+Ma4~0Mu1PNuf zxd`9Rp)bffea17iPuf1d@T)L-?m`NiF;gSDR-MXdJt~#d^1W;Glecg1$H*Qv58{+p z{uL31qtsVzfPF_D4(~`4sms zcNj-;+QUwt@(+{ftjuSFrgO`};o<9*g}%6N93nI2M4GKVH`X%csQD$;QlS{f!0cI^WrL@H@~Ff7@q?ML^WyiE8%cJC6g{l<o@X4^^&)mn7$h`dt#eZij-=nzYtq%SR>;Xl@w(L?+n1TkU*Ri z6LTsnBgW5uRQD#@TM>Atg;kQ#wqv;BY+wu06Y;DM=2ZsAE z=Y|(qji_tHF61=zgQc?rrbZQS*3a zN@Krjk>+9iwiQg|&8K{K8_HdkA8#MieMbKMVxL9BCP_{dkjj9rlG28BtM>OjO!J!l z>}luEyLK5YGs4+XZ}|Mch&a@8;)z=hJwvI~uiQXF7-AQk6+>vpwDK?k#DAVRAsqy0 zo~TZFA;lzBU>nVPddP1bg<;~!loFKRI9EM-K&&z11?vO8(K}a-EYp8XAun+8*u7*RxMm#PhmS@Dn zV9pOo%iji0LH@zfrgf-V&v0D8ur`c|mq%gJNgwz6`;vHaS)1vP%{f2rJ+o~bfubc= z`=9=m#YDhhMOus0!ke;3?3ir6>_M}H)+?O5-g>s_mjSsPY(zMoOmg5%!a;LC7j(tO zA`7D9=Tx}%aX@!=#~O8nE6~#&_$WGOib}mfy@=B2^XL4ts#&9#|7ZDz2ibpN?duEq zmL#=5;&LqJ-PS5So3(86>d8^f^KD(`0H=05@a~C#r~T&i{pw#}vylC{mdr8kD2~0g zb~V4VK^>C-%MI{6kAK8(52ULV>}c7jy_`!d2*=Aav;w?o(4WIbVQ8^lpl?!MJ{)r z@CXlPN{>desg#l?oBL8zd5unI{}G+l7d5#e3=vCb8WQDr$=8#JPT?Z)&@qeG93Qa{ z!u{+8CgA?QN*CyfQCi{svH#K_4LnNR?Zlw(c_SI-euA^E7ZBu%2nu${%AT2@j#Nvh ziiqHp;N!2eq!`Va9*%9zodt`;XYMO6ZYjb!S0elCWd1I#(tpoa4J;+}$dpP+Lj5+^ zjq;CF*S0h+TZ$YneTWYOjl>M6uDXkn4tBBIOnI9J{qsCG!5Av5BN@jX?l_9^CMoT7 zIw%59d__fW-nC|G{Gy!^Fn8d(z5pZBC{e!5@2h zK+%;*{!i^u0gEKhICDogQ^9zl$n(7hOuvc6l7lDOpCGwlF<(ImU#UmOA>EFxXQ+AW zUeZUWATxw5IG$hlJcA*WjjcOD^Z~=dl&_{?s+X-oBeo_F6IhmPA!vYxmH6Ni)3qnM zjzt`_IQuc5eEG7Q6}4xQU43U(lqESG#i-m{#Jc(q@}ixQw$OUYS2Y`;?dE)+5~;3K zy&jp8t^?xZ!<~~-IE=2u{Jt1}zcv6oBw<3{jiv@XNyF7=m0IVQul+C2?H!YMI~{@85W zxeZ!;#BmDjE-lAxKiKxr0Z({xCGmd~n!ujTrIPd1m~t}J@R!C64t8N0{n$3~E82AL zj~ILbXwsO+Iqi_!RNo+^6MMfTTjQ;$7-sM?TDpMxuL@Ul>U$`>D7MarG|hbRQiYV{ z85Z1eQDj^9vSAN>odHJ*kc@=vO5TXrU z&;d8O%j6a9>9HREpW_|cfs21zZld60>&^zzzw&OO!9@VP9~+8k6s{UY5ObB{0yzka z0doX!L-erzPo$cTQ!ZIOh1t87Nl-;kw(NNhn?`$LbXOTN=*T@li?NMEr<7kWbzF75 zec%s)YU(A_XP%82CkjK0Up{5!a<_F;xw>GwI9_Z!RBB!vDH#`z2zeA+#Jm$Li`eTh za(+IOA!GZFb;&j(`1ndu_I#1&k7b#F4(iMwZ7DjaNg%Ihg9MIuV`ZOsWthmHe=@LT z-7QPHOR9*BKWpK~;=SA9)rUB*>h zZQ#yhu~STuO3z9zx{uf`2;_MbfgrNJgl{@aBuBv=K4I@9x|Ket(*uFhvDhJq=K2F`9(K z8gyR$`1gV0VXmY7Pw(un+xeNTA4f3el>t@tJ?A&yQi`B(=XWT-;9Y^CG_=6_$MRyI z7FWv)jX#h!86^>aYV>T4zl$F+U~<)QxGOSaVPUhWr6<(zv8K~__HPak1j&@Rrt}R? z3QhzxZ)t1cTnFzo`l2|3FF_S+|+sPkHc1bVIzCd0f_4_PN5{TZlv~oJWtlrO% zK&R&uc)6IY7$?i#g{OfDke~dvjXzwc9xTY za^3n3YZaG;zOclM1On0i8tp2Y{4U0YXk^p%el@&L(gEpFKnQJmN?x~*flTOda?Wnv zT!-W%uUK1~PpQu6Om2Wmj#Qt+e-i(4pHX0&Lsz`zSlu(DiREEbV0#*$OoM@StKN70B%s6_At`jvL}^Pn4~|bUqQ$ z){C}#P9^@?YD}+feG@@QTu|b+&C0k_W#W`m*{+6KZ!5*`h-aHF9~(ue`40TqMiJbbd zf^n5z4yZwLKGE?Ec`cm{;xebTgVTa zk~x13d9UtDAAQX2@i|P^{tM6yEWN<H={l%cCF_+XW;eM0YuQyM^$18v@b>3ue^EfY@l z0ZfByeAux;1n$iyp;C7RJx0RUktKxP|2%!UHNvzhW82mU7XR-k7{0SKst~Hv{yLe& zKB$~aBz3w!-1_(=G(v7eML>@ONW;e#alE^f?-up%nPZpPjFjHGjON?6y?^bc%oa}N z)!HLk{lBU5pT9Z0hyE3s&R23vfOb2&773BG=gRdU6L5=+9haHbX_RLPO5G|)uSLJTN&=_!(6c4G${{3V6LC)(B z%g9O^J5c_k&6~cs(WCtnQ~wW-La`G;_JrH@b2$f`GStl87YTpQVMW7v6L(f!E1F-i z$f|(*8n(%v33B2O@ZN-QsK z8ZgFhBi$6$4_kf&xTB;8WgxqAM*n z0e#;-hh$m0-3W`f0Mw$`XM` zI9iHlb=H^0kM=*XMLcM5SG?Mxvcy;4E{~43nBd{K{G2nL_432lkJw5-RrA?NJ7wiu z!gIRNb{J51PXumH?KUY4_~bUhO4lOPC5pK{!)8Mxz`Zk0Ze{CPW}-R1DXy9NZ0_!4 z8`N0;9ytbsoqJ?Nd|{J)K@NH&0^Rgq1Kkzet{*Xy>Ur2rtUs=_rsRBl=QyL+vC*B@ z8t6;Rw?8mfGZaS(neMauXh33p>0#HE`97F0l3zYaWc&n&%isZerKNg>eT|CB0~cPZ zvaq~zAV2@vhAZ+0+O#KbAfo9Q=2avMg-2~+kGV2kf#G&F=Fe2~goOC~k#fD$J36C{ zqgI!?Ttt;_9xAMeM<=j}4v$ZJyJwKk@^jc}8GDHt4bwF^_}-530&aVK&~@Of6Pn<^Qj#qr47$731QDT5MU zsQXrj-^+e>a`z>M5=Q0GlC|LExd&Gcg+9wp6Q|bW8Kv|+Et7F3mV<4vF?|13Qz4o? z8n9lJ#AlBP@xdxbSWCW?(YLBJZ#!0fINAX*5NhKb>>Wn=?{ho>6 z*wSqIlgjh`=j-n8e>ZI1e16JE%OhPVPA33!!GZGQlY$7zID>tt#n?k52IO^HRU_Ke zwfE;TAm*@hGea}94PT`5Lh@KSZ<9U>+qx{07RMfIQyp1}FbqDI&gVJ!G9aK_!|XEu znz~A)Wuhw2Ne(WfuC0TydxZ{3xvA?ARLP}89vTU*1;0?Dg{!PR6(D~x^Xc)MTs!Ft zf&HFd1AH3iB46y+7in3zsI#J5aPL`$^Xt7=giMx4rzu%iBa4joa*ZW=Og10Wmi+7= zh+M9GJ|*tB>&*Ki`c-es$9oj4d-$@_rH?fqYIxzeg%O7RFwP%)UDIeaM7Ya@35XN5i(o zvgaRQ!9;5q_SpI^pLR{{{^q2j};|YBtX<`1OT3S)SKQ(Nss3iln6P#tc-=MsAl% z)MYl7m@X5&HaW1$TBPN=hU6?8r%00~8eY63Qr+&PgUd!doTQ+BVOp21U~(hUY(9`L zB))`FMCA(ER{Em@Q7Ov>A*rW3H0iFPX3qsPCuI{ynFT)wMzZ_S>R(une6mXasa4Ej zSfGnEZg|W|ac*L#l=7_{s1diryae=c$Qt8KnmI-DMdgkWqH*=j0{W zh|4_YM>uqiX@P|i%$?rgWI{)mS@Tsx%W*; zG+ZJp)i637pDR z-bSFla3)HJGRW$}q@T^G+WkJNl~b`gFE0|3qf=iKF5PPkJF|jLYrxsb@`PPBc97CD z?BOJT!OxL*B5IWVU3vM$)SckS6ti3As-@=$m7h(goXPaWE+3jvC`wj7JMvN1m=S>x zrkCu|jxA^KquM?|iFnP$$9QwRvg*9IK+H$+4&h^8@C4@_reby{kAT*Z&xOqt`wgsK;P0^WP!RT=)HOrn8iVE}geO)!E$n9Kjtd_|7W$Wkb ziW+QFJQ3SeOWus_*YlV^TXdY82@?>~LtNw!Mry9mwRuqz`oksO?M>Z#Q{F+aYdUZX ze%e_a&afjQm0f-Kj?(ApbN3m{o6&`=*SSZKID)WU3kZbQP9wYDYH*b4CdgmdoKjgv= z`MmBS$HAI|>LE{6_Fq}KU;1c|73aVS2PtZ@?eM%e=^X*(qvs2~MknrD2leca4j>#U zyf!X;u8m3AV@tmCGG5hIhfkqay6j0Xi|;2JbOTd4S?Y90xO+yR@0?s^gHF42tq}iR z=`$yZCSAH}ukx98GcteOcj-uJmRzuL#AEL35nZ*4k$Bq{i!RaL2SvF&OwfHLy@i zeBS*2uwpp2WwML^-IF8J2Hx3I1BdnxdatZmPJfyjMYCW7-ggfda3-!C$l#^XYH@K= z<-aJk%fQ1p74=L z#`w&)Y4*b~y`tT3<*M_CEIyoA^F1w<^8o@UgyV` zsvK4YuS%4(^y{?FP|X z{7!r^_t~?1yxQu%zClUuBcs>4CuXZK_*oX_klZCKmbzV&cqO{QMq4N`{fMH%Jvw`i;r0{TT@1IL)VXzgL^A8qp}mAGOKn5Ck(S+`XvYt> zI2_qswRgeX!g?=E<}JDHU3rO%Gv}X^yLfZ7FqOC#ua!TY61O>-#5dV98j$K)oBC z`@rwm=!|@}V2(h0_;j;Q>of1=$0;A!bMyyo7!lnVM_H9d;OhvB4TYGroPlcHwN-j0P!DUn|^I zvd5I?j@_PjQgQA6;qv!JJ-x`{(f(;?TpW`Zc1P%*z`VU=w?7bfr}TO23bLdc(Xo&7 zsPy|pN*MJ6wzCgnC?9H&i^&R-_t?;5ImV4Aa%;^T$1ZvAm`;*^F7;ya-QHPt>x-v- z+NyTymCrhp4M%fYu6_EF+V!T*u z-8R~?6Uft<;~pn*1x1NQ%f6cSs&BJ1XFSg-Y+sWy@!5SuO8HC&E!r>~A#mzkw*Scx zzXxe5g|Braw{wV?5T3^v8I$lgmD9mrBD<;+Wj^x8$90#z{rCk*f&9t$;l~v3dcq$V zMIHB;=UPtNnG`Vlp=ftwmmvSiiRHVlGJOOQA;Oxki9ESiOIy&vTAMRQc!zsQpZWOQ z)ih7+p31*>rLmy|FZAiDmt26RdG`F#)4eA3b$jvlEbqn+PVB+nY>}|YC6{9ft{wlN z^dq({JtCI+%$*Po@140`7?>Pp7r0PDOE+zR_ueSnxOq5%n zzaN{Y+I8OC>X!D7JfVj{RtIudc|I2@Ay{N@Klb#ni@%@20t>b$o!R|q=yHAiY~9KN2`IqK z#Kb^PM@vIZMYV;Jl9B=lc-gXrii(<=n&uBeOG^t-0Vo^V*OhN5gY+;$$k$P?7XyWX zKpMbDdIm-&maVMp9GqNS+}zw;TwI(S9PI3DY;50S1F(P|DoXOT)#Xo1ON)z(A3rS2 z&(6G`o_;?wJOAP1(&y!s)h}Py$jB)uw@^{j&;ecmC!2Ks#vNpwhMJmc%esK3&_D>* zZ_|O6Lf5Ei=^0rdJe-{DY%EOlv{aN7v4w(c<>Tzs+sU`@rluxe4|ToJJ1HW5 z+Snx`tGucPQ5>VaC8fM?*#N<>U0L!S43vSA8VUIBg{7OLe%O73IE9`QxhO`UziuO{Em ze}o+QacPBY3k^L4Xg&6r7y##FD@zM=Gt=)T-;9k6kAkuvK&v4q0B5XySplp9KnzUG zfEjjnRu)D&YRaz*Z@Tf71=%@8=%%4rG8#r^CV=Nne@AN*9+e&X@T3ZT7ors1^7;qC6}8-6pr@bSYOaMh=;z{8-U zQmuy^2s&m~Ha2EDN;1$nzOJs4ZJ}BlL&y4t7WI=ev$IgX#wNI1Xh_gi8qI{#l#1$Y zfAr)n|6y5~!}~bM=hnETufFgJiHwekPt7Z>EX~WzMUVzxjtsy4KtV%C$H>ab$xOAn zxcKSQhuP`Lv4Qr+hK8oL?%wV;Qd4Ws@T=Fa-%L)=&dtuuE&xw|TH8Vkg+4tK7`R>lQA{dI18Oig3FJ8Mi;Jmi{i9fs9ujEyt{W`kwZjAUPeK~ z%*MgN(LFFKHaapgE;%(ZIw~0@y;$o)wv`kL6I5F7Q+u4k-MwaB| z6joH#U@J@ErR4}zHKDz)zo)xzbP^04i)2)wmq8;O=w;B5MEPlYo}7B2Sbcg&=+Ngj zCj^(suGLl_iADM#-V;LGGm?}90$NZ{_*9DNgpW#zh|6hQHojr$;OXn_?&{$i91#@} z79O8nQB~W}^>%q}^(z$vJ;lQ8=e5O`t;ELqip<2gC_ft`EfdGU`1GvooV?tO#Mq=< zL^Y1s(cjnA(LX*jH@CP3g*b2_IR!O69p%?ApZcN&g6cHmQcN?(d@S~fnmJk+JdG*H zj*Y2}C7X*cG;Un1bJ; zYdu>jwjGod6F;eZ=Cqo@^($9yJ$mxg-pT%njibZE`_5r7IHsG?M-$jRE0N*oRHirXk1RgbLf(#EH96z6L%D2%vq@rNBCxmHuJ>-WH1N zHxI{SC$!{RD9DcbXD55v`{Z^}?vs80VgAgG%eq(0pSt+?`Guz!my{rC>Z-97*$GM6 z=^oOfFUD3J=j6Qd8~SIrY~|U($GxR3Jv`2powJy6*CA!wu$0mvDoz1mQ6Yi7$Iok> zS2?etrX(-SzDNJz4XZ?Sj$b&6R8@|tDlNvnoWKX3Bttvv29*VOCI-09yVq1yzM@>2 zoLQRNa_EAF#&uKe8~*-Z$+Cu*$XDmK?3PtLXXfhT9~u)C8Wt7mM5C3)!s)6FnibFDq)5 zU*WCmRhSWwP+gUsSKovzCBA-32t52Y$3|LWSNTHgpo43GW&GDYB8Q~4uBaYXx?%A& zFh0~TvxVqc^i&-Dy&`4}94(Ke-c8N(x1F6I-ZC@MJtas<^x)vM(t>rS#R?YNxFua-KGa7|6&~!a`IJI+l--(J=7r-NnsL^=7MypSw$BT99i3 zx-z>6U78Iiwxa^1r^@53BpGpPi>yy>Rl5j8D$YE2(N5dNZ}m$U%Xz zC&V$c2>IKUeG*aF@s3tnS%io0z^?hA0}IKFfp7h$`J`kNlvUI&oIQ2?ARjMV^>mAv z$Wo+_3m?zt+c(2=G8Cd|lua}oU_s8lX=M?rF9zrsI1VU33Jmx2@Cl60%un!-gjW}N z3O8ishFlSOd(|e$7SS>fGBmsTWrdQJb1SbfEBrR^en)F7)fK@K zdfv~;ez1akbbWc~(WB~Pd&E!r4RcDJIj^CutEYcnUiSEIuC2|LwjIm!<0Ko+f+=h_ zW^~S-t%^NU)~#YGD@e^VnnlU#@g=csY&%7z^=)h(c%>x!c%@|f$q!x;wKRC`u9Z-` z#38R^>7SgQQBG(g_Dn64QBc!?CT!z7a9HY?^j5!j@0`AdI#qEUH^A1zELq`xM5;3{ zbv=vv7O5$gn1p377+$%4%jDY4>zeB7!VNo(D~066d6;=vae>`SkDXPr9ymF_<>HSN zcY5^bj)J~Pb?uu%P>Au7I?aCdrzpSX=tck z&^5Sm_parG`<9mGS9Nrbm6`9@v!7uL*X~0Sd-=t9bIkp%wT}Am4U4{eQckrXKjITC z{6vz<`o*O?{_f{EnfDwLTzgo1PH*liW6YW}k=Q&(JFOGa@QihrRzRxz10;uxw(%WnTN^ujo5v6CK73|x z_w?zrM^@GrCPu*E@ezn~QM|sc{m?GC?Tv4}S)`n1RgBsl%6~ zg}dDpn(ZbHG&6pgOg`mqC=Fv2*s)JS;+WETbxnOkLqmQ2%Z56-V5%{*xM%gm_Stjm zyB4PUy85RCw~@P3crDP*kh(w4w)HU`zxu?<&CS)#-QCs2#mU*l#l_9V+0EI}@rl*L zi`$m5&9qy$Y*V_db?U6Sql*C>r;;j9fb!J#9b45)3E*{=KzWxD$K>>cg-kzS`-d^5bo}L~auFmfF_&P{J{6hR+ zCYTN$5j&x4Y@o1DTKA5-E~$Z4NOk{vDTfz_El&H)Z_8n3^r*+HR z{K11KUZG)O5fM>QQIQd0!9l@6fgvG5fr0+MeqLTa<^mids>gP5vy!iIN-C;pUb=2` zMZ@x`f1=Mb$6FUP?z`DJMTF`QNH>C6t`AQ*jRp_D6s!`}H+yLB;^yHO6cPsX#w8^s zr>3QXpR}~pl+=`@#N_1Ugt(Z9U_UQcXNPBwPA-AoY6rERxCMs?hlctG#U~}Crl+Q) zBqzp2M?^+OfJb8#DMTvve18Qh`#)XP68Bs?lEJ|QJNGbcB{ps=K*xC9O_E-5Z7EX>W$ z&CSk)r6$G4Mg)7iyMsXSj7SU7Km8&hB`zr~EhQx@H?JT+KQAXM9big`PfSQiOpK3< z2@8)3boX?*7vOqbK|xLF{`~&=h z!eequgO!XDOENR_3Q9}ipi+4mys#iIDiiu8)i;M~njtUO)aPf3` z;_UAio|~IdQ5g}Gkq(1{3Wb%ps=~t3(n<`byfDqj^09wJY;I9;S$R1~0ue|I7F%6c zS65$;udlDKtF5iB!eG#d%Ch3Z;=-KVoQ$-@xY#I=^~R>cvMUN)74GIDiYqWsp|Wxm zvJyZlDay;w%gxOLl9iqWD=jU|OHIs!!D1tlGIFz1VMWM>8f;sReL!qlNoge#T}2?F z$`NG+uc5hK2@0V`EcOBM<_C2>z0IZ50NE1c*w@;Kc>G zIawKL>9CBP?EKOSEUqf#ZfsU+Sxr5@4u?inVbLgLMR{dqd1+Z0pbQkxC~9g%BjLpW zZE*<_gR3hluC43rEJhc(1*VrEN-I#fhNj;7@)}%qO&y^HR|?NgEy30`)}o0`#Fpmf z*5;O$*47sAueF)f)JP-{8XE8*y8&)P08?cE6L4NxDFR(xgCjO{HJ6s>q-4NqTI=ux zLL(kmTU%F+0Xa7Y3!Gh9T3U?g?!{GOt6G{#wbhNy?H%|U60xN&Gy$2LS5k(=G~gPV z+lPpSm3Ta{iO|*vnpj+kBan!AQd@g_duK;`drMnKM+fwwy}b>n0iYUyovNy8EaVpO zRE4dn#nlrV8{3+iT1c%V5;DD}tGNYNT~~v{*W(%*0MF1*T`d-auIcF~H4+;~hxgwp|1OmOb0ixQPA)bJGTsZ$+W2KnReC1X3e` zNF)%UN(3Cfy|bx(Xr!eTa8GLQC03SU>gx*KJ&TZ)s5%f6q}KM%_Kr3@p$*t-Y9fKa z#Wj(Log@^Yr?b1OySoDb0Dr2H#efN)#(|;CPX2;7Q`Nj)JOu)0B{SbxwE~trlqa9t*N#&uNa9c$031N=s4A^?)w3*8ckRrz^k$Z`-S%>WV!w7s#Zxuw0c zp{A(`u-%TzD@I@u@a)+9nwp-`*82J;(9D*O_O{jz5GNpFNe$QvL`_v4A_Ljp)79D2 z)jI(8WCjNMd-@0Zz~UXk*0oL%i1hU?2jJj=ziMl+SP(`ajsP|&gbA4V_zGM_397NR zvYgP|+zc2ZK{x@fwl-k1xw)kaS5S<>BFbUmiE)LmM;jaQAa;Oe@PM!bewv$b$nrWo zCchA0SKr>=N^Bn<8XoBF8-#We`uq9^`ulo&x23uWUOKL#ZH8i)jkU(M3l}IcGSrrx4SXk-GF|;Q!8*>dwn&&y|t~gv7@hdu#Z$(kOyxY>;c;z zBZI?3LnFgO8yrF70O%o5R5#%8II!}o1_L)5jm99+09I*vR0N@>ic~|u*J6=q1Qt^V zdgaF8RS!ngnp!NjmO#SgXBA}S*Td!b^~d=zxUe z#F)4=7@W}6(};&)keZ;5O9Z29Bj}WXq4svLOV&5?a(H~CrE{ROt$&~wY>Pq63=Rx{ zI2!Eh2ZI2>0|5eq<2pfgwZIUfqP(~`FFPkKCnu}W{is1~QyZ94%CVT@yn@PlP^`8J zjRf-^ytt?+KR-XSxFR7E2FnCVPZ65f+fj*ZCJ{l;f?^E70W&8c6wEpejji4NBco$e zZ@PO%huYeDK@j&141suT8dpe5MJOWh-FUZQytANJM8VtY(2MJU`VNOmSEFDpiQ(jY5kynUo>mH~|N45hr1Ze25 z#R0-=ssZH)G#ZN|w)c)r&wpNBo*f%(u5axGQPl~?L9kobwLWBnXzuLn02_E9q#H?K zSgyx`=?sM`D=E&-PEAUVNlHn~$#G|*4@6br5czqT>6w)vGr(72Kmt+?G7nYP96%!W~os?^iR4Z?&LzI`N z$HLG=92gj?&}almG@#5WEiEIapsBjLqphK#t+%D43sFL91(PlgUt3d!MuCI}4lm5j zOi#sHj9BK)MQs zn5t?34?+lKfk+g{=&EZ$N(0&iF9azdEHO4dAUGm0#-PWomsE{NPl1Cuy0!|GsRmnu@`G6C5P7&^QA{LIFthOUn=-V+0p~yK`XaiD3ID$jd+S zqG-_@5)P4^QrS?A!Xi$HE=fygFyl{6`%)# zv^z5+H6adKErkTe;@^z*wly}8`bP%`U-uOyfDr{OCQ{QfGBaQxInBt-%*@KnfR;0m zq-A8~766zm1_r2t1XxgkbyZYUOhRG`EIkeSmynnM7FvOUJ}%xa zmN9j8_$H8<14c5lV6cqT^z`J^)MT&#N(u@J2?z)di;7FhDFDp?%ObF}1J_ehQ&UqC z<6@#CLW03!)5Fch(f+xen=jDl?C22+!?ZLO#l@w>M@5B)1c!u!H62)P1_cE8`}+F& z`1p8(ho8ScxDyi{6$224g@PrYx0jErvxm8EL}f`i2CxQ}kO^Q}7!B66U{xC)1{S(b z4vvmaZa#sb;gM0%v7mBPWOxW9UDa`YI5`DP19TV9zL?MwRMlp z&5j8S3Jn3o0qbC~>kBY=d$_qeIXT)pIKFUndg0{a<_T{2`T6;Hd3m|HxVbsLc=7O= zlitPf^4!$)#Q6AV$X1}QueXPXr>DEC8`xja*VEO%Z1%{}1K9QO@^A+{ym?#aXZmgYB&uNdlHx&Y*&rtalyH*Vj#bz78iBn3-Y8u*?P0fsNTG>9evU>W&!t}PqEi-eAyASS~n_V|D&;|80 zE~=|*T)L#Gt)-=P>7x1tHMI*DFRE*3s;TLpp(WGy_XC@FPwlL3-ngo*t$R^TO;K7} zT2fT>&_Qsp09HV$zd%jH$hmzxFE9Av-pb6vNKHY-!n%Swuf9@xdVjg5tw9-P_Ig6s^; z#jPFP1K^ypx1*8J(p+ClZ13*rZpGKulREmx-cC)uotPM(m|k4@LPkjg4tRJ4cJBlK z+ukV!h0_WO3UVi9l@z6qol;g(ICb)fq@<*{gt+jYT>?A#`L=Oy-Vq+qUi7 zd3bnu_we?4TqaBz#a*RP>0_B?FU3 z&fdXM38@*`xdo+IV(<9ehYw3%pkrll{!B%&3TBaBu*PU4lG?#yv43Q2bf~|ltG%U( zP+x;aRFoDLl%q;A^U*b6?#xdP^M0y+kmY@IJtiv_hC~;p#zp$Re=3ziv6YT?m+EaB zw+J|q08flbEv{`Dn0P;0mk|@6lnU?sM8gQq%$axug~a4Fjm_@bx`N@x&(GI4ASx}t zqLu_@LET-g#G1v+H-7FXn?P;Ur20PMrx#& z-D3+wRr%wB{#^-V)VV^fo>S55ETx4dI%t|uqN%ksG)-T&Hj zdbvRDr63=5z8yOm7nu(2Y``Akc0(gP$PY}M(W0eB__KM2vWz4p<1~n`Mn2Lm`kjmj zEYePPpYSOUv4>M}Gjpf}Rf3edwGEpR6jRaG-916WFM3QyURs!&e#^=TGCt7biQc)( zHeO*F4YPFIyY>t3;pOBO*neObCnFOF7c0%$=b6qlttef#gA|!{$9yviDjM1vP*u(N zxbsY$BE09%L!+Inx}{q{fYU{KiG{C2ah*!TAnQ7XGU=x^BO7 zbaX@-nou6$9$t(|IqxRi&A>*#*qZX?43mbD#BB6a8wWchsZR+W*=0^D^d%y8;W0t3 z_RgN}cciznoO~7%?q%l^mf+26B;uD6@8{?qkM4T2KtV?}MXGJ-!9`x$wMXWq2g@m~ z5VR${Iae^hXy>iq1W&3Q7!@ylj=TreA@Qx*`etu;oxWn@;bnJ`r#;5S(!e~I`I4j4 zh3O8_q@wi5Aa66;Hrks`7N_^{aI-U0QL~Gv>RpteBgXiI_IvTr-Zv4BYs6Qk2Rqz0dFYi;P?G8-&BSLM=(m^E#Jj=wxM#Sd zaB@fN@z@HOv#EbG{SF=qVuT*qtIXq8Ob5;w-MW44qO9m1!F?i9$4-1F}bF9@ytodLkA9uNl6~y{8;XIa1LLM!({o~ zP*l0$5)kNlS84m;bCTJrjJdtldG@01Cf;1}JDe*AT7z zm($;FJAOe+_0X0avAZ*EepKh&Vv^(h9qv8$jLpuCd%7#yVK>#JLtdUM-PQ%M#RpjG zgK9Tz-TeK)v>zB284do&&fq|QKWN7oWM9s9kMG}o@WjE@%OB)gpf^W@BLI*Jxj4Oe z_W0gylj}E3Z=0JMDD5LJQu852W!+WdP3<1WxUEz)Fn{9ci($CrSJeLgEBWf%mf|RP zd$&k<=R76V*D+ME21BXy z&e*Q5&<}z#ipTh7(v1~;K53^-@t(S2@97s1;0F#ff`UWBBEd+Uk_H3wW?n&2Nm(Td zTU!sdGQm>6t_oRNkd>Mc6&B?0;{_5hXUFGH?%%qqdFJRI)|HlYn*&wUG1iFJUnwb8 zr-w*YW%=2lQL+Aa_n4))ESzx8>iEjGM^Z-N)Cn|%l8(7kU}6!j_dOXMD-WN5 z;I5t9Ihd%HCwlP6qMWSkLIl2dnw*Ju|52q&SMNM=boB)3b^u7f-9Vz@?g8bmAlLPR zfC1Ua$swHJ8n^=qxCw56c?r-N8U`&OfP{kuOmGlL;=Muo>+EQ6yPn_PGQDyA+SSWO zhK2?p9oE&+*3yJ>#Pe!rRaI1!m6cUg&Z?bP*U-{6xMF-7cKct)v{B(Eb}iS_^#MrDE~`kKiB)d`0sar zPy)7xA^CRg_ji9Z^|SWsKNf*Lf8Xk#tNd8wPZ)wWtJh@{*Z0_dHusZ(pNni<`KjP9 z*nr@Frvsot%gM{je~;$Z41H_+uXKN>_!oEpeH#>hE4p6p+XsjndHGYPPNDx5fBoi) zADi?mhJLX49X#mzPZ~Cyg9gk1G^gZ#4543I_@0*^X#Qo54ckAGwSEmeZH6osKma)8 z(CBq6K)yNaueAPt?|Xv(wHi>VA0Ta1+wchl=MMtm0l#DL7jg49b~n4iZ>4_KCpJNC zmRqld`3{c4H(c^^a`JNj6+Az5bkG*?3lrbu)zzF z^fwCrczc6}jRQ$JNI)2T6QCM&+CSF#;WKn{_zeyK1IY#;h?-6LO9g+txlsorCx@0@ zhXIA<@9l*Utt0+rJHI(=6U-(adC=Lvmp@wl<>yT};GkfGm~U)<|N7g&_OljHeLZ-7 zN3#xSy$#U4?=gY*zbW_?>6_I+@IY|>3=Cvy-EEk4SU}@w*01~qXPum%;cVIgHy{J@CiM_gFI zCy3!6Ncp4c-_!#3056c=!13`0m%k_r%*p}VzsrUJ;4rA;fyX+YAF-?lnjDz%zym7u zw*r-t!$O>YlfSC6QRc@Ir{v_;0YO3Z11}ry{}wHOrS=c^AS>SnyT7RhmHbIIF3Mwp zlJ5X*z(K7y;ioEpec@j&zoGdj{hOB|Bl6!6VL?^`Lg2T6`)dUM&AWfqfKzf9KokJ- zH^KPdgz#UjzV4^L!u?-W_)qzN82E>Qe;D|OfqxkIhk<_>_+P`o|JPa6>2>*U`tm=Q zX8tG8{K>-f-)`T3o0@gY|2cmC?S}kQ@gD~MVc>ry1AjSxZEO?#tIz)l{{CcF;$JoY zi*o-yDljnruuJj_1OMjbU*q~ah2M5ee=Y}YGW{Sw7x~*Ozv24Zl7Cj=1QYu5?*?3O34Ch{6gs&H|4(3kXY7x6e~AMePp%vP2IZHpXb9G(S~>8g zIq3c7m7nPY1vZ+5TCcJW83-UBlAp`}1{XSS`%S<;@^_y=+fgSszFz{cY}A0xE}=sf zsCnSv5c;$soAuT|K!-4!0>0t=lWY>d=>TvWEi1cD2h;`#fvntbsJ;iZ?!(_1SvS7E z<-C3@@blTlZyV%)1o;!9KfM4fZ65!9=dJbT0fBJ*a3b*ihYfqby!`{NpG`xq-fX3u zoXl@Q3(m@ZJB>txgT;-C;LFwPq(Soc2LHMQ)HD>Nc%zNq`Uhla!vJVG8hqt*^TY2i z;1?q{90+bhW&hgDzkCjO8)j9h5V1A0eIGj8z{7Y zA5H$i#<$i%mjN&9j#@AB8@7MB{eN9>Q|Wr7Y+(A<=OB3Btp2X!M-ZE+|JuaAd3RIy z&o4jd`|(hL}G%3kwR^@D}mUgv#7G+G21*vD}Ot(s!HOlq(<>JU2CM zd0Gj2DyI8vx#RLJS-dwzw{eiNwC(cA5E4Bb9#h`kYHGVX@y8j<={A@yqWuePno?4e zS@)UMTIwb~?vlO~pXm0xOmj?oOJV6)%gavl$oLxH@pN`bv71;D|N5W{SA@6@8;X%~ zjoreLv(CEukE!P=-xn?86a>W{yv+=L?QC#k% zIx?^L2kJO&5GR1PEfN9U9-W)1wVk%(#W`6kRLuXT#jPjGBY-pgd zuUfeXnLL?N^wS#s$r%LQR}^q|^%()A`Vs6d^ujVy^0}AWI}7MmA5DCV^;Phr>s_PV zi>+lXJon*{(a#@VdR;t-ya7eo&0_n#(n&3r@Y&C1Z$;q)8MCw&_Lo65q{S`MAmT`| z6+57O`L6zOiM1`c#pN!C>)#6$L54Q>ZQnDOi~(0I1b|nkBq8LHwQ7Q2F5g07K`2B@ z7BTOjc?j98pPU{&@Z$~BPl($Qvu5!@?DXWua^0dbJj3nEIY(tCyxR0=BkuJ;iV{TF z-)q2K=V>X@wcl;<6_a;pWpal_TI@mqzV~!D*W3NARYQ*W-*u~L4~AlDNq!!{Pt5aH zJ^FD$Ooz>z#+&7ia{9zw7ZbIfuuma_w>Eml7W=5DKN!2q0dRilaZ<| zVqE*ojUqAfR+JtS0p)V<%FLNv=FYN51(oxcS+kehLP}SoKC54r8D~2h(*_+*ED@Ga zJ|gz?kKwl;o+UU#L3>bBn(xInM#lZU#OpKjCAmR{?aO+8q4#NMbzfIV0w`KM(iUb3 z%}`&{=KG6eS6fG%M6>s9ob>|qAl4iMB%RI`1*O_#l+n;SpL;}xbDPl}&9;UJD{4m6 zuqxe~94{n|Z#5rh@{(gM^?7SaO`>UiHG{b|uz3mT+ABBW{i6oG)@2CG(EH+DSCdL# z*NG@|%DM_p3uqLL4=^605aS@h-~EcQ1y$p+7_#-+XMa%9&j5qLZG)Otqw^h63$vb6 zyH=}t3847>Ja$@Ix~QKS4OgK%JF%u=eo2c;yqw`W^M2`JGXm2?hD+VYkoF`$I&G4N zz8Ec+{_(bm-F&){n*fBY^fgYT0OSn&70fVsSOR?lMxEc2Q#u}&>2D1x%_e{z<*$U& zz(Rq9arYkQK^KqgoKY@l5`nIn??bJwO*h}@ka+t2O#I`NB0|l7NFW4Y(QGL+a8Oo> z=p5a-Hs#6+YY5mwyC8On^Hjz~fwW0}{b`-KyEbD!w_>7z zV^$r_+^d_&?8==Yygr6TxpQi|fSN9G)nn&*FL9x7ihaa`em%uRpi!x0w4==`i$U8w zQ&jALS4#Bi<_OE^I6|6}ETez=&{!mcF!VH(=v0G&hV<)}tB<1N0(GGru&mh_sZiK{ ztOT&6P2VH#{tP>dY~UZX*hQ-L*6CXnKrvK;Kvy{l5FnmLDlX>iJialiY?;1QcEccGo`9|-X zSku?%LMg{;HIkq$S`~;F*0FWIp0V5U>qcqI=YdXT{YhJr8qRIM#a(3-MytUzpk5Ij zcSk!g#5AuXds4Q0d|z81ZH))QWnbf#p7#7pKa$qQO*O)Hu5ST6q zoetUIwLB~f_gWqCGnk7l#|-huqvbaIwH^fesp+25k0Cr759YzwD|HG8i5+|gqfvI% z@!~M8oUr)0+3|`uDXG+L*OaYm=D{6Jq2Xr+8tMGKEeW5=6v=hHF)ICmI`<5+7V^rjKC0&Wn2{o|mW(6XM9 zE_l3o;J$k~ouYl}??MBnETvUW7d!bE=&HrX`Kd0}6U3&d?{s8)F;<)`+>MteJgZtS ztie~0GtWs&f=j2^Vw-#zWbs*hmeJW_|JcErwM0Sv)V>!XZF}s-k<5@;Wv|YPoo`Oh zmF-RX-u5@h=`4WzhIcM673w0`wKP|s=)rDAEAhUSB|i_4B&Am4!wbh(XL{2N>2JYm7@tk(4~dVjP;85- zr~N}26R(|eoS6tK%yl^vBP40Y8=3ONKT`2+`=~P1jumWCx=Zd-g89VL7P3jHi~jZ3 zEYa>|9zo{mP4xFoS7c~qO<*J(@N;v?0qn{aG>wY*^yv%$clfbkOdDL%=dp&#%_n;z z$-%2t)^Bq(J1VqR_l!|oDP=%NY`os2tHE(Yvh&Mvgy@}gTkFqRg=Fna-fMObolvcN zb4kUs1!;D3iUujbSrN?$k7Mek>SdIWWSpF3I0$u?P^`yvvl%!4SV?^nQlq9JM3H1& zGqEgbP%v;91r%cXyu47@Fik}z!VH);riBHs@oL!-EmGt&h6Y-dG5TD)j0nw~Xav?! z=6t*U&Y7)kK#D`tS;}r*uQJZZ_OWk)3*JNF1)t;}swJOlUl>p3YqPDp2s2G4tct`yLO6=0gnqoV!kky{_pBI`m}QsAd_C!l8f}MDw>@*U?jp$p<}Qfk%*N4o61s zu`@g8o@eX?&dplZU!!*aO44XIna*u$@(HJz{4%W~PyWoVg&{3Wf4N_`<&t$2d{CMh zZHGeWqVlNapp*T53I-tNGIH~!37#{-f)H~vx>?QESW8lJO3#7b1p@@KMuEnyOk@^T za-C{ouVTHNTyN8q=ia;fTd#ysd8r~~PC^1~#LwkcQZe%AasZn}9v!(S#GqZMj<#y~ zlV`GjGKwb6;Fy;yKP&Azi$^9BhsPyC(q5Dk`BN%Zg-|vbcHn9P<3;|-3{g+;>YRGq z|2Ug_q`X*ogSuEoot;M+s-(88lAuJknvoCXl{N4<%+(i*Q=?tGEaHvlK9cr_Yd1ED z=jB)wbNX=C(}j#}sHYJ}vd+WYQ_U=NBCIud$SZw#4=5s+txHC`F1Ve2*!C$%0*f;r zNki&-K?YR3itLar4j`GHF=s}P%)Coy#Wcv~a~o-Q<=j9`?afhN{9>$5v*1S4>J21N zv3Im0VtG+4u9F6&;!wdALk`sG)M<>w!u$#o*9d8` z^i?gpHH>!@cPh*j9ID#JsTnY5x#~Z}Q6{jpc%)pqnX6weOL{;oGFn5ch-s@F1r)6% z2p8Ha<8K4nS?~wqIK3+k|1h4Z*#I%WQ8TQci+utz2x&aA?O1G^sJNq9r(gr(#HT8* zrm4_T_jOR)iH(&PoUzyRhFlr2l>JL0TRNYba#C4FFr^$g-N3{vZc~{(ZV5F&k+Vm~&FN{k zvKo&>*1)NXs-(m9^-6g4$!kEplPbT|bqme}Z)_w&I`1xi?ne3?Oq@p+hQ$TafUhEh^g;!*Jesy?b}z|%g3b;%!+R>T-DO^G(9s?)m$kKrR(5*Ud~2%;rYBWGYNo6R*tREjHKk@@T9X(K)x*-l`c$x)95dXWjdb$m(nc0Q}2mStaeq)tzlq95ajaYC$Mm+-vn!F4svI%b!e=&>?U$;hmIFC91=0h`O9S@= zZ|s9uTPddUp}L}CmMSoCrO(uYk0P?UaMiOopjuu^bbEK{AmzMJg@wn{?5fRoHA$G;+xYx~MzPx%|PtF2rK~Rgssb$2PyOz`JLO2d}r}KQOlrEL_+3d(ZHfGs$;X1d4 z^*uN8HV73JBRMxiyq4ta)USy#UT&q+W6g^dT~L$qBa>P zcQrfmVunG!Xp?0JvnFS#H7mIh?m{DUpL3|9HA!4nI|+<>h)pI?265$3*nFsjVTM23 zLDPk&XyDE`ey1Hm&GvnI#*o{&ybfPpvRq^AW!;F54GmS-sAzO@^`;yu&sviY+rl(O zUW=J5{XCM|V^Hd;;_k@Rco%3JcG@?7*P~|DI;@hu6^#%vUd#wKa<|?};(lD&8PaiU zosa%JFl~Ot+!)Dc-O;kVj85iYP?6Qdrkxd3wg_06e6A_kF#$U0H1_q=P&iwKdJ>Ph zIS!R2T*(qvfCL4J0e)u(Usu9N*XeyUV4I=XD8b#SD%-zI4@2cp-amzR_6_w&Fb_@V z@U+FWJE=wPax!it82XqcYTpicsn>Dy?FSF@097WqE0)Z8A14&Y>9oZ*g!sd<7;goA zhcuWL{HUq*z4%rHh0mh{dflfnDX5ktTNBT42YV~VFcSOBuyC;!p9>CywG&*b6T02&>|t9f`!`6qKjl^taeo+9B->2MLx~Vog7Qm zPPwS1IFqWBo8_oeRF@*uj>CukE!07tZp78Y9+qHBKK!KnrU`3D40SLl>N z53V1}O4T(Ho`FqsX#3`AclfS0V&d50z=gy~tly4uxra|lvPj@5`&xP zsPE8Vx1F4_hM@fy)tu>LrBsdr_cZrScG?vbx#CKr3iwx~JKgJP14B9(?aHxsW>d+C z^a3;J#Hvr$-~uacwOOjZSQte9NV`E2xzSj+Gqt&33~=x|sY`>(Zkj?=xaM$IB#~;l zlt4h_AKquT8N)jx=xj6;X2D7TLY(r1vSns~ z*x|5yKXkHUu)5R#vSOL>VaVXA-R#8zSZdqPKd%88a#!8HNHS;*3Y_WWr&-Q1Q{k*a z(laZhC0Pd0@S;cRi^KWz9jM_UzRU7cIcWir4`Gg@W{-0c%{u*DBf#^bmQ?{YX(YE~ zT38;HXhfRkl!Da-<**K`Uh=k9w(}TZ+S6l`mxiy=+OH+Na~Z7KUzL)?dpp$fpqHMu z<58Dl{AkEHz>Q3tGRe&mE*XLoN$`XyUn}`aw*!7SG1#3yrLSm|j+lPoPnl%%*ge=4 zS(A9OPf~6zc^^m_6; zM_wwWrv+AEAc`y7d8bAy$;@4ExUqPnZ_n_Yx09Uqb2gO^#?vH|+=`2zz(ARpZ*USi z8O$6Wv$jH?Av~-#Y_EQX@Q>cL6O^qd_v*(tNS2145JJYChm>SzmtaNidGkf*$CX%4 zD;#&=PEr$p2>+UMS}0>8i5dAAf}$jRAH|lOHts6pmk4di@?RA@!=Tc69o02Vg3H%< z#6oZ8RhmSp0HeU7Rh+D6M;}1l`Qk*=snB3t9dO64R9e}+cxs|1ri}vVMSH1G#JSxo zXGRrmMAU0ZJMg*OoYD+QN;|cdG>Yv_+Ahdv_lPbLZ8b~W8o=(44NR%~+&QK8=PnaN z9*Ly30(YA=#*G?b4y=BG3`sQrsjP>qK;7gn&B`NIR|2-6ay4d_0)G&gb4bpdz+KRD zhGyh{lmcRHHtY!uXB#dT?J8r_H5JNm-KEI-$^=uWOb@q}jrLJN&<2wk#d$P#Mr3-2OYZgmu;DIg=w)cP&Vq;r`);uQ&NCi_4s zkNCn#`PhxbA$~5OuI|Wv0otTfJV$EyEzE}=));)bXD71OW(b@m&iIVPKSbh2@*chX zj;JXVug^nlZ?j88gZ5N{60$lqx_UcNO>P_Fd5C6+ zEO+C6qU`Z_L|vhDtb`RIXdg9Y;kfw7BgLz#S>;46G}eVNwyro73j-pP;mPCI(T|<@ zX;z8)8 z$Bl|DrC|ZR{57d*q_WJOEN7s>4$E@L7J|6{IkVW=0BX#mEb24o(fOu+2HKsVma>O zX_I&tw|RI?Nru5iTDqi_{X}UkZ~eUcksYXqM5E2@ik{41KG8oN+v#Ym3Y}yRsKhk0+9Y{JXv)U1Zw{SpOl6 zoeE<*8ziVVS=m#NRU?HlBIJtnA*yvC+eITItlChcGd_pk2-UKnrbj6Z+G`d;$$JKN z?jJg!AMd!3y4FDcy~{0me~cE9NE4 z36>Grlk3PrlWf2&2&A8zT0F{uUj8i0gR~~RZEPgtv5WQ;F{v}jLZiTu6KD3LE=-G^ z89@c%B}xG{+u&tNvT|mzbdOx`wvlleZj)U-HNS47n!F`p&}}LbE~(lvZ7oc4X&faK zO6Zg1bcB-k3{bEl^rov^YbPd)hT?P0S(2Ar4>Pq4*8R^77EZ^H?erM~9%zcN1s+;7 z2tN)Gu~vdlTS2*xmO@?xh8ss1Pr|$53Z2U?cQ;MWH<|2HT zH#J7LMT>e$eb$YFNPPivH=BygZS8-i7}ZU*)PaUK`l2)viv?u<5o#+UVe}Ij#y0T1 z0aG-Pj%}?vv_~9i@Hu}R*qfFEm_OG`O*)Nl-&>a-bw9TqVA z^QE}ABB%i!l8-d&M)agucDJ1(V#N*LE+9iMCix0=8YCw&wRVoNxG&7CNAqOd@X-Mn z+0a!%Gz?yO3t0Wi0{h4)fX^<6T2o!+grxH1veGT{6+FMf0Ovb-GFdBLZWJDr?!-8~ znWo*SzH*e~Y7~90u(cu%-`6=Pj>j)CMdZyktt2T+o6y0=d$n|<4e?L_C0rV zt;IS8by8d@4GqF;<<^E(s{7SUSdaY2+2fcHa()+dD+x1v+k63OFEybIcop1&W`&2hX4A_5k~_vt65{6<4J}pzC;`B;F)RD zgR!c~+JHQoWpt*y(P6-V_BoJSAYD(fY7>HQXYIBDks_nFs3oy6PYzn>^hkfptu5|{ zh*U71w$%SS;WM}Eag^b;$GV(H^j40!nF-4z)b_DWFCbHoGQF@Qe`TLFYB+wsy7*3-ir3b1|iG|q4RPtZ(g~Mlw zh^xCE*u&LDw|TKZAo1R9U~=xBXTx#FNcTaRDP3cY9tks-KEeT#hNoY9etVaNVN zMrv(|u1Pqn*oq>UN%pKfwWlVpubNbzrSOr7J$&e@R7(bj$CC!mpiPgi zPqEH+#$hITr%_ANnr*1c==s7Py+r62^3Y-_Vdm3 z)6jwDxJz}|81HDCp^VbO>}jPgtY_l9m`ct!O@$ytw!K78D78HrzFe`eyS>m1WaG7w28|Xlpy(prswPrcLgbHq*$${7+JB4&@N;WYub?+rk1l zpdmr7%by3qReJQpZdZjl`nG#7R;35#7JFs7 zrUhI+Is(XsWfm)+i8J2O_bL~*^N)2!nF&!P?nA&cezSTbV7=Lsl75Obg4ZJ5orh+p zMK#xM%M)%@X0jXFInGMe_P)FOOvj*&y}0eEY>kBa82bT!;9T8W4BKfIU*b)&mx}Om zz~@6ju$MMjATPK3a+I~yiBL3`wjAl^<|Xs^%E~FTD2pXzsA(cPvXpUlz(LOy(1Z?( zE|4p5)acLD6~1KgHCSPG+_7OY4V?j}auT3gwF8z;91-+Z5z70G;Yr=yT3SkUcliMT zwkC7)IrH#-Lbw}TfrVZ&TuE=)y1I1v5^GUd$euSxS(wM}B^e#Bf4DXmbXsarYV00W z-PD16FjC^33ppBy)>d{C?_HW2Tf)23iiyD==E#QXKrm5!5;KrSIM2sf_Op1&=4^#b z1UI2t5(s%ty4t60noD}@e5LVtWtEtaHJPo+tfFgav3RW#2x*I$l&$zc_5 zA5jejySR|#>x`V8opJ*cQuY*`(NY{o*2ClVq2>}-jzOCh%uY(=8WFb&&1}YE!5rtN z5aMT>V+GS)R~b3Rz7u&6XpclRs(XG!;L@w!^GXDD6aJeXp5rKf$d@$Sz^O?5yDI ze2yzTjh>b{%uXoQv?FZ5%|**oAg1UjM6L+EttrAZ-ov_|Kj~nQj027H>tRu(l!C)$XqcBP)@lSw0LX>`Z1x11^Ub6LmGS zd1u11uJXrJRjW|$b;m?z`O)a<p!aPM;s#@PQr?^`90Z+5f+j8>LKy@euAcp%!dzi*>kI2)BJ&%Av?t*X5vFuwG?fR zcsi-NqN~dBGnfVzVi=yu1e) z*Rs=SgbW(=sqng(mJ2CD?)L=VEHKW8IHmGuKqP4rgZC#Fv6j<^%eSP?$+KpOfYAx9F_a+NMYPq3 z*;qQ!uq%R6|4ScSxig3>1UUp`;%g#Pb0u1yh#gK_Kba|jZhCI&BDKjQ%?hn)0qnh1 zehCIdl4}IusyhPMZV1%bWiLW(0%c7nCMmkwH36BXI~1udYHVv`ok@(wjizSATlIlD zyZCvGEipgqVO{fcb7)h#p2SVryhX4q12}`)zb6X^W~;qbG>wn}4v7Y@Qz#(y@O^cHCVxR3jD=cR1b{6l>7FW8Q@T0Sw^G2+``{sxSL+UQT4I&GYv0!sND19(n zv0^=6*QjyQGbg7zN#4A28c%bH7~Xv7yFfYBiswY8GDb4+>vndcw=b~Ec6|!SF;*0B zHYs_r#gO{Pp-RynPC$zjwb58SxVxZ5GtDDU!+dD6A%~O{_7JF;TvQZ6Q#ipwT(C0t zYT~b{>=o@Q9BAqkFTH?7E2i!=8n6tf2T{y;tzjT4LL7JUm%BGBO@18Ku?=(le9rnJ zXSQoM#@YvGi<~yu$AuVooN@&ocjl#+5<@P|Qgxt`BjUsDHPml#x~dqokjLznT-RU) z5yyy^+dC&SnEzWZWo5<>4-Y@lh01c=F&et6iFIoydaMeRZoD#Nly|1JSzr#d@SV%& zVcN7*pJR{Bv`8&UD-fKMuqQP!xp@doZnUANh2C0lJ78}GB<%)kWKx+-qpY*x*Nz65 z<{ZfeFN6xj?zBfNM?FBa{W$K8>&peNU4gd$XY~I+VO^K_%{&v z%oFREZuxXQ-&PE*-!V#Qz78*JnmS`saVi=jQI6`NFwXnV?}=Vx)$vRHP*YQp_r^-% zb{GiWbAQ4)l%QTlPWPHSsR@ zg-Uyc?&hzvh`u6VjU37^1(|K0Z*%{ts?PHloU+1mSonqbTS1>*FRdNWn>TP)YyJG7 z_rq_2OF{Cq5a`=Qrd7lFDKB$aVld9|589<15#-eFVAOB18$!MfmoHjnhQf5DG~B95 zeSg?5y(m8*1C$1Buq!-wMIAgZJNBzc)z}V_ki%k)V%-l2j`B7iHGbky$mRoC^j{~R zu*L7oP|v$KJgXT5vSQkMiMB}w6n?r#6CtEBQ_t`k4e`!~cEw&9>d0%mo7=^bNnhj=CS#HSpkBQ^ryZq7lw{$dlXnMs1Pv zuO32tAeY}__343<+Eh9G{G>i>_~ljmi|@sI1T+QKr^PlR1QR1{sQs)WEWDKQ9vhw5 z1%4%E)9V}=Inw#|nLRP6#xmrO%=vvx?vE}lj;C6dUtcY0FMh`pn>b$xI&`kPNdQje z{sINX+?FG00)U%LjZ!hpt4eY04UT1>7ExPg?S6rcqH_LUP{RYF3J=py`aoy7Pp2jS ztI9`nJ{EywA0T4Zuhk>I9IaLAUT=8_dA^g3lYOjDx@Fu9>Dp-X6qvQkczAPGeAnYD z&-)bvksTAvS9v=2Y>;XNrcjoOc*|o|LI0IQ@9(y!eTQuaJSlqj7UZU}=~b;6>uIGkG}yV#1hSh(Wq{V&YRuHqs;n_B#V=p5O#EF&aMx zJ32XDAaV*8ASIVPdS6kT+#8{wRHIjW_Fvrp$a(?E_I}Om9Jy5d#r1i7#-E2&U1tjR zO~P=o4SwJh@m`1TV!@T_M;=NR|9cNO4H@aeboxd21*)unqOVi3PchoI0e8C{JhuEx z3`55I=d<_7eub0Rj}Mc^uM@)WK%s0fvyaXf@1HI|z4|AI`xiL>>oLSoD>gJb8haXl z(7=g4Xb4)LDVw!&d0k{{m1=J9O45V`Ilzt9&Zmf5OaBp^hP0#NrEPi2Al+Sw@=3vF zX+y8XfL}aQCyqI%+rU?3YU#;uhf;xg8DZF))Ao^-pA31#soa$LCxHS?z;y)*n(z0b ziRd5{9Xyu}%2Y>5$*u!u@S9j(K-KL*QIA)PJD!iPy#ILeRr6=!f#Pm&e=e4X;klC~ zNpGqs+eBW>Wd`#zV98U-#02&iW!Hc1rVKnLi@_n!6+xBZ^M$XlO_a~RYd2ujwe|JO zhyhVboIE^&&x{8K?wTB}%uRuJILbd!-WM;ijJNhH=ok|kOS0lDwC;MT{r8|ZK-%J7 za4eVIv#6Y3L4JNve9g(c;F!TTk6(ra>I*^t;=~SEg`w-1-&1-xvuVD; zC9A`QaXBWjF`T>*3}Yi4r}iAiTNCTS`eGnA7QMNSuJ~Y2sEO6uY8w565a77Dv~E8k zV$-x14{EBrpIBB?uj7{vzSrIy|3TYyvhnv?=a9_`wX&CPM?bQ9N~SkO;yalnD;K!a zG3leiruU}S@#2=Fu!(nnUxds{1M`~?7%o9i?G?rXGD*WIaJA*S8glquB3u{@Lr#v} z#l-)V^xVt;7B$zFE+qWJOt^ngN%?C_2Uel{UvS;;e+r9n|L54VfP2w*f6rKJ{X-Vr zMPNy7BvXbpH_V&=2?Br*s(Xml`k;|_f`akIx#%|0q}G^wIu0s^7cqC8kCLV6Ij9(A z6pZphdnIY%li>aT(s(Y`H`#Z)l;BuI`97tPgXeEEtsImp3?|9r&(`I~q2c$0vxY|N zp(4XU=~a=gun-;Q>lVFNJ!$K)3aaZ#wk+^#W@5s1xFMPCqxKGV^IMkFS)RiyzZLt- zl2tB~;P>Hd2b$0F#}wv5I&|qOHmhHa-DQ%Ys5&>Fdq)L7X-@rVc1oCuu?TgweD>Px zNA0)hhJO-fo6aTyY3FkAt;Jm|+k*mC{tQOgXQ$2^7x?@_tjy#`f`9cp!OF6UCp9B* zYewyu_;;m_bf-Ad#Y(jc+o(#zzKW3lKBfSkb53{JITjb!K7McjneVmDJY86M!`aC3 z)A_aS)pcxcVxM!6$z9AK_k>K|6PO~j%DsQ z*a2la%{9Z1)(a^u93X8(7pl<9>>M&7l#USM>3`POvvxqK(Kz-wD*jk!n|4Gf( zYi64T7zxe%0|y8r}(2~=VHZ!b!_I^6U7%e}_`4k>TkQHGgG z&e08TOs-fHGN;=N{a?H>>j%h*hJ2zq2CVNPLahI*UZ3`!TLXna4*Ni-9@hQow=529{a_nJ5#A9{E~s?9?B5)=(G z=Ixu(4`u%*7sNjunutkXFj)H+!uDhABUS1ktY=y{qBRN>D(B+#g#_1?mKUDYC)rW< z-yzUJN@{0zhmr?m@4#_~VBF%U{%P`wiIouhl?M5rXtisZ>bEz;r>~`=`YgDPSUbRp zm>H3anJhwoom2&vGQuIqWUsB2SiO$7{vw*Z)JE07g)9>#!x=klQrZhDfAryesdrEs zDDjD(=jO$gDtdq;9xBk#^-LovSv7>^^0oNW+?qCyS1UBVZlG5h=^q4H!51ZgoPOy5 zd_aT0s2HA)QDm8?C~pg56eX9TY?kcn{2+yQdb}Qo{mp(r@Rk&h9wS9Rd}{mjQ3=y}5Da~jkRS4EVn~yiJW!5Fh*G^P^BtoQ`m;ThsRxqU>ELeAcVzd`OPU z;c=#f6Po=i7}%WNz4Va7d}<9meexor{T;!7xA_MrJx!phkJA9 zp{)mo{YRUSHc1yX`H>F){Zq^OQ|}#FfZiGC)o>nH?nhDx8rhOCJ&!!4>k&250+@Ix zAP+~L1^<@@De;>jK6{oEaZP6VnvTaX5p4gW^nNk-Pi;n=SS91B_E?SDPRgCaLWj_B z4YKCxY0wMG))EFOact<<&9=3+^goF+2*}cO{MX#+kSo}4=6c^BN(Q6QnKi}@?_TB# z&9rTm(Xi^p8oYa`S-XNu;Un;|r16ZcJ^9sgKIwJL{2D4w=q`mVjWnZ4f(HM;FxRKT zmC(dDJlbd;V53P(Y2vWQQ^@ZkiLZ@sJ=Y;$7%WSk`L+7L;D`_O{G?1sdG}5$!5$tS zwRz@>vESoA`*h*QTb2*q`*Bo;m(ze0!V_blBdl|3Lda)temoCV(tdFvrb`zG%vrW_#sh~H zL`z>VA3V7TYfUN3E2QGj@$AP}BF-xK123d^sKgS3)-`BpXpF4A^P0ORnODA7IDdG3 zH9^AfqnH$|wP)runRB)PuTDADRT+65N_wHXY<^qgc#E92SvDy@H1a;UP~y0~Ln=t- z!@l+V{P*m&=M^vzu_tJ`gGv+=r(?wJ^W;1`deQO}B3ZqYlCxF%@xSF~wm{=ePPzMu zzsm1pUsTh;9nF8REs6IW`v`0Ky=oZ-g3F94ltPBTEPVJxx5$Q_oO@mQf!K@BVjOG5 zSPIL1FRl56s;ymzU{c@kJtwQo%jr$&QsvOnO;BxA5WEj<{IfC2mPs%zHIJR;t1^kA zk%r?{FF%!mZpRW4HNEO!T*+0DC;UX27D!VP!I4_{h4Q6jo3P;hbFE9VFD505{4a4@ z|EMbw)Bj>zzmEOV`r?HL+wI5cY9!U>au;%I5B$C3%Ls}AP5LL2=1eQxrQM!h?Ki9Y z`fAU(4;8a}7MZj@|Mk7`qh0XN5wn*6Bhd4VZ5sMKo&5N!74om=zuK~vySPW9?feL> z8UwU2<=xjGU|nyTXICMaxifaOaAYWNXfgaZx2FY9!dn^_X1?6_`hQ@9WA-Km#J*T4 z9N2&3xM2C_diu;ew&eC@n;&+KigGMXf(M4Ld-3AJ)Uxp*D(m~7Sc@B+r(un^zk6&h zOx8rPfl}4`#X|KK<=y?geKNciu=k~pn^rh;bzN)Z{U0;H#L3&H*4q)06z*7qeE&a+ z&X$NT8qR)-;JcHgTnhaD+Dc{RW;^P{eq_gh-m0>_SzoLBX!8xgpwsZWdhF|~;GFH7 zjDQb;*ZhL9%vs+{;e*(WugIv5IT|%h;oBeerd(I4s~nbd;uJj3;r!1->sa%>#lj*_ zdVl(_t}=Y_?f#ZKFHd+LcTFLyGuoYipZWcH1g{2UA8&G zt3Om=>Zz7k{g28Tp*JrB`EKxTr^4_?4-u){N(95zh3hmM4$k1Mmy{p+D8>JcSFJrX z>mby9q#OcQtgnJd@MIHfS|L4~ul2+s^q}kN} zMWj^9!&c6nj-u=7OKr|lJLw-zV0g3ln01QcMxD@y@AH8h$MbFV5neAR64R+1U9I~D znS-N>Lciv}cYCuO_U#+p{|-Lz*TuBsKPXhf*!1U_%h_+`El+bqa)VPYp1g@;jgRL) zGfCxnB1H|bOb;b~!M^1aeex=Wr1fWr)T^&|0-da<3E97WWIB0HZ~OcO=B*7kYo|xt zMjtCZ@29ukPl0H#o7I1!$qG4L%r}pJCXSSGr(ki4UlTI|_X&omD-=vpS+{PaMIF_p zD{49MBJj71;J*vp2x8ws?|*CFZ8-V;qsU>V1*>yK<}Vy6SEhsWHgM0(`b75ReAGE0 ziYBo&Rb7k6;1(uX;X3-3Qpz`%ZCvH0ukC6R!0CdZ>Cd?S#<9wzFiM#JU+)otU1`r$ zY?%@L-xS#cROlQ*7YGd(=u*0`HnWUP`MTf}PdY`0S}F3#<0<=(b^VAgD!>uvqi;!zXB*>XJ6jaV7fqxG2OnuuHJaq_I(qHk{ik6qI4*Gh6Cx-U?d}+ z+SeGUeLGl&%syg2rf!*i3oT_>`eOejw72&Iz($?{QoyXRG!hz+@BNofAxnC5r7G zqU76csp7agZPI1<@uPRK!LYALpUP>CJ!`#kj=@1ZAF*xHO!?a6VThSig=6n*@im^o z!20!VooArWkFi|rhqI3P*VhwdZ86fRYDq6fc->b1nYQPLKW}7f#$PvVJU!<(0IM}H z-`73S{nztrfWPpV8VTCxpJ0}I%ev`utq3vkKMfx1#aDVhy_gr$V!RFb__2jn(CCqq zsh?Dw=Bf^0w@&IUbf>Xhci>5P)LIW+H^28=Tvb^r^cYxN)=_5-g1@XSJeJs zarp5gqJyZIXn%yCd~Y~+fpdEQ^{a{$KN;fJ_boNW2vg`DYuTg8?F;P5%F_$_I!(8A z!jnoEsXhcqr93+~a^BiNL=?B~VR;;+O0y7Rk5@!wyAzp*1AmF7XW9~bO?G%uvT?;g`C-;Ey; zC-W^p{=U^tMKvvf|Lysq>Z1`R_C5JwUYV4woykvb%=^KaC*2cI0nYy}j%dRArFKYi zT_e2aa%}UK*r+7F>xmuHW8xf*6$d;r-q3;ZG+5m)(GAC~gbxeA1%~OH;AIoWk-68& z^C326aEafy#>z>>^GsVe-5dXk5^XHGeAV=FU3a>D*b38d^wQk+6;>j@kR&%Nv^wvY z@C6GX5xr7D7f0k0`Xp(es=*X=yFM%inoBT;kCohhd5`XY`~BZ|g^o5RSPfmoMNh{S zo6&Qs=M)Poyu%j%IMsi<_4B+?NUCg|f*6C}R}o%%Iz-@_aP-B{=yyWts=8z>%(Y)E zU3ennpuj2A6DoKfgX~qI4#msSJScBk;uzPsaVX?%i)V{8KAZ7~;(~~6u4VPRrbDCX&3}p%{ zzj`wp2L4o;raXb|6^+d8?l<7P_I+*lov`5G>im8pHF=oJLnht z>-n}3bnJF=&mc5O+9LG}hX@tk(4vT<647E|^@5&AVxglkn0N>94M5dOfAesZRBqk)qEJ zPi?>NrPv$Iu;=2vxw|5ur5(}Td(J}$ZwtyKE>+hJuyA4UBfhwaI?t9VXbX-j-}WoTUQ zS7ZH=#FYi2=@H(gv+I+I;jm;=R{uwisZxVE>VpXc+=*eG7~X_|hrW+)!~E3b6{lcG zYhQB(@lW(S>7RB6t;-RIp_O6Hcrkz^zQyBMe2K9HxV2yAM=27O<$aa-N`v%~ERI(V#QM*7&G$Utp!jUMLvU1k+B95p^oF4F zMvE!Bhor7D+J;?iSa(hS+cy6o$Mb0OOxiu9si=dG+u4rjyH(Q`c}Jo=wJ1d`d3-NK zGtGji6<+ZwT$?ksc+>5ql$^T|6^h-B2dFzachq4+&mM#w;I~drWKthFJHR2{W}jwy zn#b?X{Y?ww!ewwHDJ`EsWABPGisoFCUP)4cmY{E_rjje2vYV)&IIdsGYX{d`ZgWy3-9CPkgK(A4sNlRJY`~^(`)!Q2P077f$ts-Zs+ZM* zpH1-Uu+Jn=FfShm+ERKsVK3K-|@5 zYSK3LLEx~RL{)ygl*{`g{I71218v3M6dA;7j2>ub5*1T`yASoRqn`c@`#Qkg6wc?A zLoFONn3=cs*}oR6vsc6ZZHEVGw_T8kp84w|L+|(O>`0$8z*im>SXJ~+?DQc~UIVXr zRs9mK+nNf#eSPj2*g&ny)~6ob)*V-$-q=%kx53}qTtSaN!M(mcb)oywy4^aPzwYlJ zKgUFOKP7ZOvm|P8O_+bJQ9{)!yg16EA#e+O=H-hD4&1GWZtf>ey-WCnt=uDO>39ii z5E}4GKz#EYiD56?+h?)SNWFFFgm!6`!N}4{XGL^vtZ#zNLOQEJEMerZ*HiA9C}8h`t<&Ed9ulAl?xZks07pD1xVGQ%62 zoXVj`JjE_(Hl46fQ@$oynqQgtwfRE?bm9zc^@u4p?93rz76T4bq#e>F%6s(n)EUMC zbZry!E_3^cb|XE8pEdi(HI{VlQmI*q^JrONehXK{>OKL#Q!}wA+Re4Bq^+DZq7x5{ z`;+};n7DZ*)31*z2JJC#!=8#(M&BmT%v3jwdivPwot$#m-f&8lNKCLcG3@6&8@PDs1i{+MwWiG6%b*{S-hJn;>?h796S$?%h0Q%M<*E#vu? zXmF!KP`tZ4rO2@8>xdcW6@d-K?{&Cry_rv-nJTc3ik$p|d~vggc*zqZ6yY7|{E}JM z8OC=Hgs4tVirGJtu}aNn@3&1gE8y#pO&b%sEeE?~Y-rIxJg6Wh?P#ae6!%qQ)B^#>KU0WUe&{SMR35C1K#LiilH_&J<%FmA3 z!puI9dIUyw1z#Z~fp0!a8Pj$R>YSnq-@dtl$Hqb0evd}`prc{}dn(Lv|5zdm}bzdw-?m;@9ZNHG3kP=_Z$wCLh8QOO%Byw7Hq} zZ|0!ia2sxv@OUJadQt$vtrX29V5paW;EjhzU&_pk4+FQsb zR8O&*lI9MuoCeM>STA8r+9>Mni)cPBQ>`lkGDbzV1=>t}rnWPR&xEpyqD$4ahii(9Yd6n3iO)D3rI$PxPo))xD)6`SSbQYK}LaNN+w@ZHO8k-a;?D?6~TJ?mYD5dLylUz^TPp^%a z@1>s{8OfYZxZ1}E94(Ul*fYf+crSODKZGt)mVlhTO9M9ZxmNW7-PFF*e{QwZ&b(MMNaX^Mn_9(8irosCpCQ( zpEK=_Q1EPavc1hRFvK95+B&DHwbd2%~jo+6o!B_b@JX$i~@Tf@^e%>wmu2#9VU zgAva+QYmr!k@7llPTLc(x{x*Nw6|+*6(D^`wb)c>=f})iDvV@(|C)TOBYDK8owHqr zH|gjNt15nJzS-VM%2^C=Un{aSR7(jR7kaGO z#o}<%Lg1z_;gOcu>RsweCo7mG0+7e%2Ae5cc;#o=Hr&h{(e|v!$ji7^h`6!#*0$pw z{DTWpXN+{!jCh4SA0+K{GMqkD7qLO|L7$XX_rmd0jScAwdwThunD;uSRNqS(GTp-7 z?B~kXZ^=DxBH1ZdJj)>QD+ZQM-J{vk+zO7cxM|?L~;FxD{s%v@@q{7e|}V&x<_bY?2U3WOYO?Hy9%Y_ zcA->Jn7jpp`vYnz!zUF^;dM18N(y!u6&8$mocxkC5FUHB%B^dEA(zg155oI5m#DD2 z&(_G*W#%%%@w=}0zvtl&`WP`SJU3s*cHI%%fj>FT9h|)WZKV1G*qKjW>2~%r`gC;* z(d}m_SNTF!!c@+M!ukSsuT@1@D~a~BbFzd!o!@a^{lpkCGPNS;McE5mmHh^J&-3wOEFm z3)H2!>*RyXL($JPX&Ea0aihiOm!sO8A zJrcLscOZ0}qy&t|L+?qZ;y356y-p85aDW%TLi^e^uaOB+5#3CwAlW_eBDs?0MB505 zYCgN75UzY`-LXL*w6kn%rbmkT4q?O^CpFLbTFVFA>JJ!N>ho~N%tXbn+*W4M+E%-! zI&gc=$z?r0Lp`%bHaFvv%v+zF&jN@-X4o;4OcmK1%GFtEU#==6Q=&idjx*gobbB}E zC_A$u!x|YvluA8$e)2r_Om|DS_(bJBQ_CR5%WS!?6&4b`x(~qEt;3tuIUVgdxEA;IWvK)g#XmT>e#_;T6{F@Wnqw7xJy(b#dq|HrG^V9?ZVh8O zYo}d=I(Qsk#Oo37z-~QIa$vHQ&YnUSBK0y%p1@ER1_HTFgj6d_g=fOndnZyTJXs-I z(o45&)|}$eCA}H-xg>6S8Kr_F&xDV7OXJ)5d65`i^>TA0uO*aq~f=yt?eIx*s>T z@K(;HXE99#a3`I+`C`Ji^)A&Dae!TIqIr*msmB8M+fxP<+e9M`0){&mJh>E4Qx zR#p>+tH}lRw@G(&Hq8$<b}{qOoU#<4NB|1w#zVg(l$7bhnt2M0Sl zI~yA-D=P~NGcywt)584x*RNl`%+1X%%iP?TFJHgTFEBANGqbR;va+#(92^`RATuY> z0R$*p6z*@r1IbDtyg>MXtolKqXFezbN&qE^IoR1)S(usTzs!A}nf^32 z_3`6}58#^$@87>$lJ}DzK2A-~%zl|?VrF4wW9I-Eek*wy1yndFchxF>etu9gC=C<@ z6$2u8p)$ot1^@>+Gk=@z+EBJsqv|=BCERrsfuU zYgVD$M344a`^=Wg@i>!M1+M_^Ya1a9Ka^n zIk>o?H~@oZ1sACNqI@G5#6j6suUt)kEvUHz}#zW?-viIts;dnGSKfq=kjK|vuQVPPS`)dKubjhC4QUQcZ=8l5sSvw7$W^A8G*h>lB2&B)0|lvd!$4G^L??>>EH;o#=wUo9vk2#Ju8 zkf6Y-l`A+P%L6KbWxGO@1|6yGSj zb?fH!B77W7vokX@Q)9i9!o4$@_Ghoc(s1&MBd&!6A-RV6~N;0W9(G@k4C^ zbp=-Dh4}?wS!}FKP~|~4oc;8EVgfWTGejGNX5sVHhv|7%4i47Y@xg9J0||$&tbZ}h z&cnm;|P+xc7(8%lIk#}ENS>Drf!$VT>17A5fS;m^mQo}qf zv)Y^PvwjA<_RzNGW2x6`R@}-0Zfqr*Cj%bX0hFbP_y0B|bJTAt5?6Bq}v07oL=kBvT1x*!CG<1M{paxR~D$ zy?pih^{f7_mU=3UPH!L-!=r<|T_4)n+TF4?IeE(LrlXr*Og550A`!5dN(!TQXk=ud zm0Z>Qj`>~TA>72ns@@7S_hHK;8$?#N!)aTuSRa&*axUEeLSRKV;q?Z6oBMZf+q=O0 z0|G;$6XK&nL&Bot6BA;>Ln0D0bFy=u6Uddt#l-HBp}vuMPPPxdV1#I{!B^r?1sUnt zMWxSk6M}uby`GwD?%8`_-;S+2l@2H>>)W^m#=!H7^7D%Ew6@Of{(&BPb4ORD+v_o- zOuWIE-V^3G9h}`^J}~dV$mmdC-=MG% zKTi+uz~GSZ#H`%(q@?uh40sNxZ*A+)>#iC!j#Pz+b~V?K5#n7frE$gC!_iz%S6jMX zH0i`vugpe{4O09I?2@XdET8yA#V2Q$*0i*>wzjs^RTC z@-!24K8@$AcNq{@J9q7x<;^F~_pPtrzh`mgw4T-xv+G9td678np7AO2|H8|NyeZ2sf!$>`PzRvs|G@+~xFM@G4AwhWCb+ShBE z)wgoTQR6GNHin8aa(nkk2@921u7E_lf+G}9yF?5WIiIyB&pPfkWa06aS?AP!NH`9yA^8=V;HroJ%P9V@eH zlf&jJ7NMQz?5xZm2SvtY78ewd2AW+O)r!YI0))(3!dN?6dmB=5fU5zX!|Q7Cd1E8m7Nr~Bc9p(D1%32htX}< z;FN+gTvbhT-|)!b>v^Wy+vuXG5*<&;1nkfTwav4W{9>zDt(6v^E(yE8O7>{D$!|ink&3xkY!`Ks0H=mo4)@!V%&x%WJxOY&( z6fJV}{7D1zyUxA=_D4@V^mMr_(_T=P8~n^jxaw?a$Ij5N`;4!-#2_lliLL#w-Y>9m zuyOKne`ObVW%BG;IQzSs^?cW|Cwbo|-Eo4&lv7H>&h%$LWDyXtBXMq4*3maKGCZNB zqPkCV6?fO}#4(~E4c!MnC!A>D|f4E zT=jO-KXB>(u~l_Gmp$E;c-dSmlygN?&wIqA7S#0g_m4Ak@vP(*Su4ItYW*hZwQJUm zuRH3#3d=KQ{MuIaiG#5SGA@67l}DQNfg8~kZQZ@>(#prqnq0CpGrnMa?8p(hUTf|S z`9q4*lAFca)4B&0*M~&qMLBA2J0!ev{W?kLrxwj8(5*pRTHJ=nX=IMg>KdYCiohzr z9Y?=G_|jz)qZ3E9)c5XI+K50s3}Y?4@gXZWDJd$# zM^z$pPUfKQDN~EfSFc~YdFRf3hldV#Z{4!Cyn4a#%z+hLGu^{N$|p|f9zJG#Qv1Bo zMoEPppUy7_HjA%Aa!BDnItIJL;5m^#&gTTZnu)L@S1u`S+v1fSWM3&H1(s7Xa*FC2 zM@|_TU$}6=-0YmmB`X^{`^V3m?p?cVtanUD?cm|vt2ui#>ZdY4Fpmw4_hE=E@@H;3 zJbmWm^z7MFXIED@H&<78mnTjS?$}vezG)=IH7}rSprdbb^U7H>yT{Jva(gdb+?<~# zecJru)OmT|O{qR`pBt`8xv}SxkD6bs7sV=M){bxpO6}G-v19Nk{b=CCT8G~a+rsoWmKA~Q+^RAOvvuTs)o@?$t{(ipxKzx0D z{d|1e^e^7!#lIbq5SgY#-bQ0GwUG2FAeV3r<*qE5;n3$;WFi1i}LV|+=1AJj# zt}bquWwsoDa__43?K^iLxx?Ju-8{VRS~|E!W`w|kd_9A*$_oqdn2=54%mp$5L53|U z8Q`Gj>w&8ez?|#t?H>>n91jOF%?qbWBu2dU{%VMtWLGQbIx;Ko%7l5fK&=?C<00>0)dB;E8|W;~P#s z!NH+HU?LC8Nc8Xx3(Kx3D=RO`!_lZ!g!-<|hUW>f&*X)9gf>gaX&AYLMn*@+B_t&! zrNYzT@QjSioSfW(!ovJ~@RygJotvALmJ|~fg?+B%-J)2@$&ZZ_74tCD+;~vAg!e6ISPfvqR|x<$dcm1g1nrp%&ZJJ9HI&| zUwA~IPf$o?T1H_Z5?>5xj!r1b&qSe9vIyvM0v3fR#x(Tw_V%!?&}Ed`QV3YkoS{?}9!36)rM z1+o-Th$zU*&4g?uEj=?Yx3Cn2r;tcl7xTv@oY~9e6Rn;|hbscR) zas>cNY9f+q$h9CPo`}cdDj`nGo)_lkX5=+?)YjJ0#@@Z@?w@!!_M)!3xuvT!j zg~e4>*Vj^;={-#tJedNxpfeg7G+ZU6o<^;uHMg`h(_5OGXpPOy%}t9N{U#cKRZAv8 z9O3Xd=nn@dt|V61Q0g0KjHYG=y|sx>Dj?G98>(@5d^M@MnoI`Rh{P%!x&p9NLho>Ygjs=K9g^)|U3RhC-Lf8axI^tR>YoG&VQUfjv`!J{ql|i9v6m&>HKTD7gCe zmKJ(b3!P2}$RKR=mX;=31FextA=lK9h{S3V;0pYaNaR{7mDb$Y#9%-UiVg-5M`~*$ z;;XRO8d@Eto=T|&%}xfjs6?Y_oo#)i<1|`hBejOs(MTdTbhKB%{L8BeRg^|rLt_i0 zolb9~(df;MG{6akTvt=yP{*jp)V9%E8LfT4+tpcNWh=q-)4bu>_u+PZ2ip_)QLl{d9DG`6<3x3+h*wJ}=T+W;~M zPb&koAk>5npmpoOA24-57Nridc4~cnU426%y%8|kR^pvfPbxu_mZOOEjZMG`8$eV8 zt*Nn@QAeURc7UBTwg`zOV8C7jTUFWKORFIR&~?;CAfPpxK&Cn}0S)4+kQwL}Kt(IP zy{o;gy`!T8c!!|3_BMzhkhqZsa@GO6T1*0IIzmFa+8Sw8xSS)z{YpjsP`e5~&*4 zH;`%y83fg*#Mf6<*J3FILUknpUsvDQ3d#W`0s){Jo2ZQ~ZEd7dG_I^PBQ7N-uMrwr z0FS_gp{@*A0)*0NEiGhxO%tt&PNf6iKxYFgKexECyS=-o4>&D)dwP4iJ0MI9dUJD2 z6I2^oJup&WJz%r}?2u|GHML;mAlIeE)Df$is>tMOJcfWHR#iiW3J3rNHGtkg1&Ny4 z8;bKw^78VN!XnE+r=bHh01F@n>M;bxjo*1*%E41WKku4h2P^kO_E9IhbS67$ODK zng-I=0l=gh9FADiNGpg-&qz&(iik&nkq?3aSb`uy1c4Xe*<^Hdv@(E!w6wPOz3A-i z8+g^*+S%U=WT3CN|3&``fU5^U0)Rm>(EEXb0=t090E00Yaw;*{^2+k65({^7T_qY* ziK)O5(8w|zr5=o3phtrits++9%F8hrGBGhEF*PYVHYFv$rnQw?16mZC55UMk1>FKn z42|^G*0%Q6w$3h4@<>0ea zSCkf)7J`YS(qG9WjzlajLm~2-&Ic1d2 zmI}<`I7J1m3BZ7N@K)adOuwlGOmzc8VP=P`{FMeK# zsK`q#D9Fr6&BW0mzO{^l3DfNwv?pNbuZ{B?v?(3!y7(HMR z0zROQ&hGBc_Kx;W(9hbyXw(6EeseQq(ZDEb$mFUjuns9g6N2U6_upM{&({%v+u_z#$R@j%7~2C7RYB#2V)p`0X<={)3>*^fGMU4YOFdks8Tha zh%HCvBl0qHlHuve@T`Id^%{j>4y!Q$R&>78OkONaCAeIP5A0i%%{YXGYc1ChaY;s0eviqyk_-ZVs?0I$$x~^eyV!>At zFj%l2DlE*-%1kOCU@FPztXxtvwTVHkZ=!;69t>mERaMX$tGuKTEO)cAauKwTGZPb| zgB|q#*CQRcg5pY$tfm^YCe%6bcmi1ef$;+xNFX!DS3>_P@fZvSRf5RN&Vi?-Ma3jW zr`;O!Y^Pw$(^5*vz$!?f+9U#@60AB(O96{;cydxEibgN-3&GMTAVD1%zpAQ;gheoD z6qG0%4%Xgj8ReZr126m9n(4j6ulwrJ`9(Mat`djEVjxol%jXhgIR;vPk*dH75Cc}# zWk?hX1uf8?BMNfBIzJ&cDlk0R@&IC}uDT*IvAn*f3MvW@mcO`iR7p``K}JSeYFb=O zApsTdn?xj6LiFOGIzh{Bu*!R0Tv(Ww1y4$dk4uQpAa!+j&}nsbjnI0d5}sTFMi8)w zFG3&+^8nGA+2FLJqzphP11qcou$=&-Y++F$aI0r$rl+K(#>Phb1xGmtQrl}N*uv)( zl@%y75`~5~1IW_iVvs5UKn8y1q7ryQdKsYtECb3wWq=gsgH>=YC<82n!3H2AJTx>o zGOv5 zNJ)v0i;ai~h6Mz;CxV3`1&u<3MLlr-=R;cna2k*Wb{i=nVCNMa83)hKDF)VESO6eq zrUT_bRZ={3%memo;h`ac{(e5*Fz*1c`HBn*2#rlg)nHO0Q*+WmNeKz@z)c+qQiX(s zMMT9WfXyMGGdd~)goH+fhXDm)p+G_c1A=|M{9GT!l$4^e#YLcT08X%zjEjwnjRpJG zh=>R`7grZoSWsjY#x*arLg`oLgb9-f{a9`3+(=<4DD^YHL+ zar3%s7mdix0K1&jM6gW@4-E#n!G7My%M0wjuUx)tarO2yPhartE1?Cv`_ zJh*@F?j76f)>c+muUJ@IxngnI!s3#JwarbtdkzonAG)}Ef)lA=u<7#;4)TY2xVt@j z^3>@mDA)_;1%sZQpFXy~4}SE(?#6W+t1FgP*KBNV-oJm#(OyTxJ3lWWGBh+I6l~l< zeO;bCeR%)DZEGv*D_4|(_efRq*y(d-rp896PZ}K4QdL$4ziWB)sE(GVmX6M0ZS6xE z2M=m!9R_kl_xN%Blc&y_T)cAan)U5x?(WV`&QESx-F|f6*5>-n+qdsLc=YJeLwg6u zhxhHSS(uxenw&K}WuSLl_ptWiqsNY)K4)Zn-FPj(bzFR)7pRb%~?Rm&@v&CM>HGt@t- zbNJ9fWyQUFckfczy=%vgoeFz*D;zY~HN$BFbG>bM`vZNee+cr2p`Elyg%G8-f%#6-Z+AvmSv0jHFUC%W8xYxuh}U&tL+l$F^e zx@HZ}+*m)2fJ5eHq$kJ3B*aEU9@Ej**48yTcT83D^hFCRE3;F2C(m9mH$S7fTVbEV zwjC-bZ@Bruy!=8UW8#z2@{qWimcExSUr&DeG&8?+?#%@b%ei>?MZ_c|*RNl{VUx7< zMhQ`HO1lCa8_s`t`*wVM^i_XPXM1P=_|)VlHm*s=n9xQMZceu8;SOS6e86MNi^h6- z#wI6q^$hg&s%!g48?%#9&Ar2)nAo^iuU#)KD=oQZ70c8DpAawmiZxPO<+jQxs2)0c z=DLHEt50ZLdVVo*v6Ph{vEUo0FJBG}y`7wVH}PSfZSlMo92l}N&wu_j1sb5Qx0BIS zPazR1F<|^HudD(4h_7PYFuSCwY96AnC9c^8y6XGI+ z{rp2?lQWBPD&4g_Azs^GO@6{Bd11ZVX7%TZ0q-Gow#tx{KAEcrYF^R zZk7~W!NI+1)k+JlZ|i%0j4VtkaFG6Wl<}G1!LBok)^rG zNqP8YI;kijA~HV4>!gIxAs+;ZQrj^(+j=L%e}aEC=ZArT*Kgmv9vz}4-7vWBdS9`_ zFBnmC|KM5gl9wEUf-62xux>oz-?Zsr(J;qKCaUMW*A}^%(*0hUgwBs#f@@Z@z9c=* zO;61xyc68IQ;Mr8%2euO=AQNYO#4w{QWM9(4+7<5iP+@Rm~hSQ`7G-<@z?JPaDc7d zt+rd`L1jd*eNufO_nhiZv+zy#{oPNl9vBmpljW|@M80BUW+ZzCH+N6MFotJ&<<7xUOUlw*c3}6exZl71;!{tUkADc5*F*fk%;fDG5SEZxh{%rh zzH55w_#p+6(R4F`_NtnOdVEn*fWryt8C-tzDy@g13CVF`fq{`3n6|ecM;cMZwNpGS zr9;(Y;ybg)Ip)az+EVgIPU~!6D<-FUP@aF709rt$zg$Bf80;H@MQ5X`YQW~cthBt6 z1hy39+QyE)p2o6>YkSwp=sU;cmV))rb0mfU)~_|xmd^fHuSZ_J=xhcKv_=M_0iEou z%9Lg(#tF{#-*q?By9Zy;5W&|DZj;@yS4GF+0SQO^)|Ivxb^b%xM%y=h&!XbZ2~q1IV<(-XXtNO5|x+BQkiHDVjLD(qKNQ{J_aZ@RN-kXQLZd}ZGZ8z(2*0=Oo_#tvXW z)19d38eu{Hm0YazpC;bCe*O0S^a9J`H6rM4)8Zu~VPQc5K5o$8KTnSK)2oXUyv%p6 zpv65jF~05=np%LwR01zrL+gvTpINyDL?t%KY}=)zsc&}685S589_sIY$3%O#%top0 z`*n=WE?+d#-o2imi$`4P5-b(l_Vx?7Y{LHiE)}RcbeU&aghfQf#3j~m*tlua#trKw zCB((n0<>$EuRL*riD|f#iq47gwlml%G)*gvf<1j;|LB<;811|~T%SIA;PA{VEFIU& zvSz356(=ytg9ULGJTWQ=<_ylFOifHoFJ88^x_;~a6L-IelmaZZYh-Exw9ksg8)Zv3 z&Hx8s1tKE4R&1SwBs4clN~{wX6BPj$j=-g^#YD>&w7?ZFZccXQxeufLt>8{aUTQQ{ zj@5-zx`$Mi_U_rUS4riNuHi+Shi<;1u_@U_kQbT=`4ymz7+C*jfDJ$v*ouHDt%1=q zG&ThclXJ!5b*}FMU36QN#d4Q!yFs_qmTt~1-kk&Y&K41Yn`+>`+TxY9#T#qf;ELGq zZo_>7_u-~KeVU%0`TTiy=~~`bNWK7>0|MTb?&*Pxaf>(OzNzK~_rU(Ut8LKPLS_{kO;;f}n%XCHW22{|pGE_^F`pAwOmQ2_f|OyA(eK zRASW*9z2KzSfEr(kp32&9{~N$^gky10n`rw0XJCSD$qE%gywJS{e2DpcD5f9{zTFe z6F3Np1`yz%`&R_2(I0sKR}=tlLGoo1DirzT^dJlc5 zTtxGuKH-OM=+3bbx7%-QuMvCme70ybP#}9W_-Ei z-`M}&3x0v=2RIO-AF2Ot3=p72`DK3WB0b;HED^Mn1$*!}8^A4@{RHV7S_sY0 z&9q#|qJ;uH0LBuaZ+ReuOWgbnXVHWf8}8t8uh78Zeyblq16Ar<^?rl&9nDX~{8U?@ zcd?^<8vz#0{)ayP$K>A$TLb|Z1lhlX)&QCoNn2{uML3HHF_6vu&U$~={OuX=0}$XV z)ga0t!9WWCH1+SJmWTmvTtFC<1>B1Pc$V9InG&2jK%$|sO!r^tUM>^D0kSUH!cqZ$ zhGsGRj~XFw{BjKVCGj8H2qOEp@$@gX{w@;m3mNX;00ZIqh2ACB7GHk@RJq9YVm*J6 zZw-w47kF9!Z)G=B;8--*<~0HtGFLQ{Oe8;l{bQ$jQ z`N`s$2dKu9Uw-+lVA)Ck{b>m!8bS_LVM){=(id9;oQf@mD?>G1tRZ;(c6zjkY3W4c z2WZPB{Py;PLw*_A4?g-|ef*~NTWz6Q{#^5=XQ+zm>JW@?XL-LB`z^<>O8A$wA$9q#sHLslGk^tn&95e~$g>KE@xT z|8QaBH`EZG-?aZ|aKBRXQ`k?${Cq8BiGbho{EEDv3H*Icm!JLyls_c-v%>yH`0sT6 z63|lMAIkizfWJ}hUnco0-Tz|TUzYRlNB&DF{{3S9ALjf&gDLyNcwWq#16w5w!-TW3 z*|s;^u2XHc?I+vzX4~Fu(QC+EF2(%V+q|8oXhmFU{;kmBfs&r zFUmDo9=dM>V!rRz55K2lFfZ5Ek{cs6@bMIihN-n(p zQE6|9(A;q9v$?9Tn`=Sr2vc*N4*l&Ziq2*1z9%QTiFZTXTvoH>E-+mxgA~%OM;~WB zB}!xlEPPwkgl(V>z9I`@wjv^WVY;aO;Nv$4kX*hXP=1v+hs zCB-d9KALCv7)ht6W$G-PP>>_%#DF2a3C(xSMJ974+|aTQ_N|tqaxNWf?I9v>CQbWX zmMs7{m9g;RDHvI`K6!H7RmMJxGem^PsM@(lHfyKB69C_i_HmlDd-jdX;|$kO-b}Wu z&fq~sNfgZn)P=%)c6X-qz-S7e7H3^5L=1SX1U1e(U+<8&3i$A=CC!UjQtDCvfE=?1l6%ZlH&8H$M zzE0jw04g=h8AlOcKq)lMpK@guMK00@<7uPSNQqn{2(CG??iMeUk#BQs$T&q-(oS+X zjEJtqnU)I6;sLwKqeiSO42|oFAT#Bn&#|SSffaIrHW=MjK`mgXpeivP`Y$|0MRhr%YfQDXZt65^)3DAZnXwN^my5IfB%Xa@rJ z;vUKc2J^UZ8e&K?)z`rVWSZSg0Br7HIC=LuU4v$ApG&d#8T^e!rK&(EI7C*_3f~z) zf`fP2ug0_|d`H{Guv92o@de}-?nvnFLFwU0;>B165yNoJukL1R!wMBccuf3dcL{Ht zTEc!LDTUjZXH4_>q%R}ZQ?WW7Am>0Q_zJqNm8TuG#Cz3-)3wG?DTW~IA?zY> zmeSZ)jVaanL^gKXyj~$`1sig?1ce0ayIR!=2LCJ5cd%jM^9Mr)OUUDH?}pZ}?;Fv1 z|4G2OTjARBH8$vciMIl}jyvKL1eA1;;?;8S$k$-GxDjV4rbWwH2F||rt+rW~$ay#< zZA8uDgu4MdXi;x$l%_0?-1FZ#Wi5nXB$GnVvAK3(w=S@R!~z!qQeBESM_th3D8fuS zb?>N%x!P}m!B5vj4DXWMVdSArBBqrwIj9nB{)a0sOkPRBF2#sOb{mfs9czb*LST1< z!J>mR3OXZw1_TZ-kf6>SzG4>KOx3=0oed%5@`iJNkF%gq#>c{?t2I$%+u+5Q69La4VK-3zX`8uh2apTdn~K)E!}z1L97e+ zw135Wj0RZU{r<2sKC{hiefUh#NamZ5^p&EI9JX7ZN&FGPyS=|W9FIStAQA7)FxO6u z38qlkGRA}3$-aXiX4?BSNP?2iz~2u_^T#~6V@arn5t{Ynt37}(j6Wk#XKz%b zaJ*Y8v0NY1^pKs#7$7Lbn_DUM1_-YVUMM*8wtL@u*_v!hLgqu?6s8!G)`kOnkY9yL zBa#^ztHd#G_bU|^#3LQEv~p4DyTaob^6O`0c00rS)b&OdIxo0r_N|SPq8s%6Ge@x3u*|mPi`=^LQ@oVh!RO>7>#*^TW93lO4pk zc-U9;g@K4lYFe6$U_#Ecwgyn{Q-hjqfMe?Nwm9;_oW~=gSk9)rLqkg=U9~W0ql>n7 zwlxh=X0hqR^hx(_f{t%?hW+}1AWPj|51TTLc7u0aJ;68q!6Vg;qMNOg)gp?1#nZ=O z)Vn|jQ@wvC0I9~sNgWwIXu8z9^B9mGJmJKhx*w^)HcZ&dG<5`ZP|?Z0;ooA(TF>z| z(q&0qb@rBE>cbm7jyU(Kg}v*O^}Pt`P!B4`krT_qL=(U-`UY*e);&x1a(S0PDs4f$ z<)EGI&(UZAE|Xgj_7UB%aBs=7&5}YV?Aq1fo?_ z)~$2M-I@j*FzANxI0i1=W_(iK^iU=^P|nI0sS$;mnYpP_K}p4K)q4%P!)ziFxQMr9 z3Yy4*0t!Hc-(O?$T~kzhM6JaVttY*GNDYisa!dY%yT&gT&CYqAq5-Rs^C_%W{p`DC zz2D?k-!J^faBkF`$|OF6rQboYh?LxqjiXP|%8F;RepX{sN0$Otz0;_0hR~9HCBeri zP%~!I6sR(Ws;ZuRN*?^@Usb8Dqdn(_rSG`w9SuIym}f}5cLR)e z2j>X1PZJsS%iqfbkOVgUN4*qONG z9uy8H4t}m)$c9oW0|i=ja&`E2783;8ilF;R%^}%UGM4Ej5FIWBtcfR>We4+}OtV)1 z;^DygZTDgjil+ZAIK6nw9?PcNU1v$wSrk$w)FFwwvJJN&t>%iih`hTqW8)mpXd4Wl z5^pBP$`GZu>(~0oFObUQh?UtV?tekqvkaR&Kf>qsF5=nIn0b-Hdo5S z$vzc)B_~qsk5reAgV!S0{ne}Bc9=uUPn%z;!#3EN_ zgqh@QXjhdYjM8{asVbZpdA=ngFtQdhVdZwqD+zlQeWx}aoi7U~wL4Qv)rcmJTJOy*OZmF!I^|P6GRu=TE|GvpU~mi)W}m@?kJAhl&bypP{Md#bmQT%JtBE2=}!l# z*>;?yYaJQoIzeSYU#10qQCSG+j;&15V3`j*!;u&LyqU#70r# z%igW4j4F-GqP#9%mhv_~dG5vA(;nKlsKQBu(Lej2;0W8P%w@e~w-)eAEP zYA?9#{%1_sO@5tp(gsANvjm$C5cU(7*%b=*~-#6GgM?I{i)L~(#E~^D#e_6 z9~7;Y(Wjhe)A@bMfV8Y0b zh5C}+IJ!fD?OopPK1g^j{&F9(bJ)6TyK7lNBxtiQry_RqrlRWbU{jWwzvcuw9a7U? z8@g=QQgyIYQh`ymsH2@u8yk;nP%4{$nkLI#+pV(i-MO};cpu=Yc6oh{DBgl1PJ2QFyNm^0HLG4mK4jiE5$>pTih07cK{&jbs*UPBhUVZIeZxVPfNP`8tF z+r&$B+s<`cXB|IKUsLj$OcAhzXA`^WD1~0CD*~Qw$Y^1?Ko&w3C(R6r{6T7JVac?) z7&W%V>gv(6MWjH=W_qOX1rAjaD@RF!M1p%HxzZrUpeMN^++)abEY~) zPQH2T*;ApHLSeHW#lF=23`9|#@ImTZkiw!{qEUIO}w5_g&YxWG#nbg&dVdv1^p#!yS z?G3obC0{B-U|&x5Pw82YR2du&JKZPC+;LHsR`sr-WUtP4-l6U5!zBcsdS1jcXuK6J zATscHQs#hoOF2HxUYof@(`E5qCe?QBok^)GlUz?vEqkR-iDt6dAgwWC6IW~WM9swK z+)xS>Ok;Op6m$(m2V4emls7ibZ*DP5iVI?k%}wWl9K)Q*wxdR`0<5ks9S8a}46Fay zD_BIR-U_ubBXUecacOrZ9pA)PmdmtfJqd-7NG$Hxu^!8h&QujNjr|ZP5v00!)*)Hi zQG(>9(VmU@oUHE&l@TMbT<#ai+WfXdaPFabL=nEq#Rwf%#-5OAC1R4ak(r zwjdqAREoxb8Wv}B;tAO`?M^Q)J(~xRQ%-;aQN~TN6-_L0Lu5y@pd4P+&x(*rB=c*m zE8KLj9Qj@==&wlM3%#(R`!dSf>S%Dbl9+sk+5P)Q_sA;xzLX;=LYeAo2zZj(&REs% z^x6;MUurPjG)=yH_u(Bg2$R9L*u@Td>+ND{XDAsD5+&1x9uww%TbU(UNf&D)_sf1+ zGdWg=%N54M*P6g5>N^+@?fUoxk=ABy^C8w42suapw@~{TNMppC$H%+)5F+WWv_vAd znM#5d&;kz62@f5kpurC9-ZDvpM1=c1eMm0+YV9~ zYc;6jfz|#u;$CTSEXrp97GawmHcK4qmaeRWPbgi6=xa5%j? z5gkXIv~r={^rw|v>B<-SgxS>Qo%?k5$fGV&`7I@Dg1uZSe>8~jy#;wcF0f>Qx^_CM~KpX3w?~MvGv*Ygrl}lV?ZV^;r-(#;mMyG;ZA6&vi%)D?2@WP;bcEo`)iy$Jx1jiOMarpwVY7eUWQh z*jOUjcMuGzV19&*l=Rft#DlF`odd=tsnc`Tb1+NWYS91bur!-KaODW~yIziO7gw z%f6$Q&TTM_mhn)}Z!OVfi~k@CKM3W@uW`6^IA4bBgx8TMW~i+oX7`?YXh@cshnL#B zS!+fGB|pAZ&QE07&w9~tueSPyfnd9*lV%q}OuIYW+GPF>ZZEbDPDGik!-b98D^kBr z+IWpLUV*tWecvWUbtS@=K65l`rIq->nQCPvP&9k_(SmNt2J=IXjs#+LkwPue1^Vpc z6yaL{x>qqX4^kpVZ{gWlyzXV$+W%I^)pbLn{k{4vAZ)D0o8YvDlc!2psu9b^BF-5c zxA835etsF8uFC+QwLCdn?6}f*&1dVZ5vA`h5X8uf0IYl**_8^Hg9BajS`KB=)G^Zg zoIH@&Y(gehT>83t5!mn?%sb>wVNnI&_cM3FdpS+x^4$+;t8SF=+JNr9&cEqmU1S8o z@Xl;ZV${Bvorej!G*R9w`yCFL-nYCLk>?oLr+d{O6DdCE3F&*hL(>u#6(0EIkaz{F z0pPMz73C0;P7w9RjOv#pGXYF~y-FMg<)dDt(u0be+GKhUt>QJgvRSbIg`C!+7f1WF zPv8|g>_r2fUT(xQdccTb0?j@r$L68{Gl>nGtU4~SM)${gbKi46v4M@E)Hw5K5X3@T z(F^6%5*x)0QsSjks;yP_0Za?2*rx0_b^sf)ljc2q!R0DP+58d@ct5|^u7^=;EWlD- z_#N656WI|HG84amYeR@;IuxTI>uIYBha{RfOvc??dhdR_o3QrHHMW}qlpleQKgKI! zf3*Gax}(jX*_E`yYOe}H6Cfxxx3(ZJnn|k7+LD7Ztb^Bv0W_w3UUodL!RebJffM%hm!lGN`Nk7xZF zpGqGDlaMIS|Ao=Y1bZmE>>DUixre)ra+PcOO|$TFGY1Yd6ql0&aq@-02-aKjxjk5C zT~z4V9XRyx2`w!yfKu5Y;+H$eXl?r$x^}fUB}p_rjBt^oegQ`!Gy3f(B6FgLVh+f@ zAeWme-$a@W)Guyu9A~a@ttfGH+(XbsYPri<(rdr+l)%MayPxk;YU@QSZ!&|C6>QE) zT2#ATFpZq-7XUZx#C`HK9H%_UDbD^uo{zLO>()*HOb5ud&3WYI&fBea?C(c4>FzjQ8gM-q;A_kgc1{0}%Ly+I-R;rkFcj z+uNEpP#8@xUL7(}6JR{L^>4n468k!B=Nv=3)ag88NjN?EgKqSnkCRI3O;wQGeq^*- zPE3zm5Q|qQ7e*eh&7UgTHR{Z8H{A!aQG$_ZP+6FrPQ9eCt|fS4YW>_(_ZTkO+7udS zHOc@JW6ltjta2NIecVIkAH>h?Iz)O@u;+5d>3~yd0=g(38R|F3PgDr2S5LoHg|E|d;@6}%l32! z-PtFHMalj(SPj+5-*_bpU*jP5Di4t;F_YQ{dDb66V_VB2Ul%+!yt3Up7msBzMq?DfSN@3e@%uHDQ78fV*SKUX9!scHwf z#A3m|EJ+qh$Y!Dd=^3&_s+@s)C<+zN^XaxPEq(ZC z^5g~tnJu%Rr?A$z>V&AJ->Fx$dt1yYOe*l3`x=8*c0FEf^)%t-PTDEHZ>%TA;StkN zy$FqHjQyQ45d2bjH&73Rnomm(nBkeF&Qn_yN*Ezsr+FcYk=QfSp^rq)0{+!W?~CE7R_GYG5l zYbviJ%pnYd-A>Q(psFZiJcN?SU&AlRASzhhS?L>P#=6sE2VbeY=DsoJS#;ayG3z+p ztGt#>9jQpWy*uUy=9nq=@F239`??&c%X6#XQ+ffPyf|Af|Unxa8xR@42LE%V!hPTS>jcn)7(Gc*H4tu;q)v* zAK-Uo-HaXf@8zRdb_kkp?@LV(@-DBLZw*rzS1Vucm7C+fVP#AsI=n~Nkl+x^Cs#)= z4Kr*e&9+$`Qvp>8BG>qiy|LW$nDQYjv^Wv*=_UP~)VO5|;qVrU8->Ku0{BI)3$J%r zKEjVHnf5m7;c02#&gv07NnAzN%*FZom_h`ej!=ht6!7bivvA^HM@)2L4z+=>JwllW zGw!He$U#F&R1q6oYx5EjKx!>v?jV$prpd{g-uASxoO;agXwUmdu7X2na|L@8^i^^< zY;hxYt*j<1cB3vH7*Z6&O9A~+``WYVE-N}LlALXLVlQ$lHw_4VCv@~_^7XDDr&J9P zJO7~w5w{UG0LpzmDIQ(E>;+mpOu~T6>Ckq+A%LI%M0`0*`l1Tg9VsrH&o3C<5|7E@ z$2Kb$SA)%LTyqiyi{Ny*w@p%n#<=U)xj%ui9f(|<5OezjXewvT^KQ^J+LQP zy@+#wv^6^s+M^XCxj4a6b$X|&i>sfe$C1j8SGXo$rZysS==S8UV3mwONwO#TnQzq_ zU)b7OKDw~n+7N@UI#{!ih&LBn(0OXMon8-9# zp11(QKvOLT+*N2q5TYmvy~#!o2s*spuF=%Tuf1jH-zSw9yaq*nd6EUHGB=oqGa{Z5(- zolAlQ8G&aN8j{)f8J1_9`R2FuFKIo~sDf?ITwjmNP6TVjxM=p?YJA+Iqv(qB@KCV_ zoC|{fZwo?JRg=;Un?7AJyAq(7W+ zGeLJ@wZh-5@>TajrYEx8VfstH5AVK_FvWUPNR5>vD$5h zkp)CHR&8C28tsLVV)9l%#_1#J52!Wp$7>N@8u`4VqxoDs;`Wn zKZ#cK4QgREo9o;ofl-S*H`LpVfa#|fMkuGX!;FDXPQU8R-)B|4q1GnxRshgMP^(0z z-Pw&R;^))cJ)JNlF$T!Ri)eu3s3By`F7{3mQhSV36zYww z7*5?>w(mQsT{=kT!gI2(VYwWzh!20U58T5qWtiCKFF$+hMr)q&y$V{&+?DilMig_F z55Kxc z@M`@XQQ1?8;8=L~fL~9m8CU4a$ix#46WAXyIiRh1(H{QmRp{@@|TEO~hTp1QSD@YE7_U=rUA zxtFs_q}6_=ZiG_!-3t1KP2#o0w!(I)1&d*6ob|T+`z1XgDFo-vObCXjd4@Js67Osh z*Q(&{`ov)T;rU^s9)%3bV@c1Drk>%a3K!Z^Yg^Q=!6b->_1Hj~4W;2VcvvF8YqnK1 z<4M&muj3FkfkR%-1Q(-Hz5f7W$L+I+S++p?6HmZ2p0wF_GLhN0Vk*g)28zTrW;P0T z(`A_=$Q&wC1%B^ryrBr!oLVq2s^L1NXf&MNwt*n z;!W$38iE>9atv>t>}9878$T(NHglJ}k$=7oJGuF*0uy;C8RQTl#fh5weO)KGSVnxN zOlPV5(oQkI3$_d=-7Z#}gpV9yS zjE3^e2xnbkN|>GgY-bVF&01IC_d#EwhbB9sjSMxMwM;$wdtlaos@w!H|Blw?M|-mKmE>i_1UcwQGQeGqq&Z5Ut`xfpq3zU$YW+mH+Z=5uF32ye8(4b8k??4E;EUSj z%lI^%VatbiTIMYP|Ed80N(E6_mTX~*yH_l{l8WkiC*;?4_l=AUcP7S%cp1sDlfXkj z{b1Dy>3(4_PbjU<_m_vPmsq#`%;Uc(vzKKe!6&4oW@e$H#zlO)SeqT~9UNagc>I9+ zzL_g9hRP-{Bl(S0D1J9s`)3YDu^d9X^6&=%`f-Kkcd;hnI}A@UPH%*n7y&4ez^A+} zUhX{LN0Io;c;lbRCoZoc6oXY$^^3tXJ$d08CkHyOtQ$T8SyoQWl5 zadX)XYEHtBZ=tzCqzXI!H`g~e7kSmeI`|%U0u$x4U(GBqg8k0S)0nTeAu@-?3nDdO z!4*0`K0CUEZXM6_g48~i@o&cy=ri@uy_RhByt>$y-lHh&2pQ8`|OB#97nlTZM3kUls?#i*t zw=}#FNvEWN?MOuQ1XX9E<^B@c!nwK@?pj*?%-c#RM$BoI4d)d7N))0k+gOH?TmH3$5eYm%Y1f;clE*2l!EI1&T?s>!QHJJ z>J1dyC0~2i?NN{%AKpWvF_QlK-_btb;~1L%{g`b?x4kYNjk8oaWxqqEnc{EF*(59`CsdE8tyB*?!ha7vO+RhE1KEK zN7Q#9CYxj|el~q4;(U3X=bI>ks2)GQ(X8VuEruoJA>7D+iGC`K11D6s^0#JvIB-$awI-(w~ znOrniorMVYweLwSS+#m3s{X~l_v`H} zoymhmt8oj^IMzf=&QHNQI{eGIIJDCBZ@miKNNdpBzg&na-LIr?()AIK95U!$l-Tae z&b~iA*m&oZ5%Np!4rgPRI^45+veq1>30f03OxAkexB;FF$e zMPZQ1se_68elKj_>>9gu1)WMf)%pr9*k%mwt^M5b~d)!4-MYlG;Kl-U$q5j0bi&A__zo#kEudw0ZdRpUlMN zSTkMLed(y%-1ydOL1G?SZ+9QI^tC_2x^^r9p>BV*ygx%!`WAi+s|S9eKKM5O1r5(>eQaT-RG>M7 zPNl$_-Ju-v32cPi6FDnOwo5}Mr%Ja}J-p_olvmDq7w?rkyAPWVV@@qJc#nr{orP6R z+c^cB7G2@ya_XUC8~74_H#uSyCuvK|(fU9x`K7>>M(Xy4(Lpon<(ml-c{&>_7XBM* zrca>S`(Nh?CvEi*{q=BhOvNL z9%7gJyA;@3jp?*Gu>au

    ^n3f+uZ!l^8}>B6IJ$!VK%fXNU6kY6}z0CX-C~5YnM- z^ht&U?|*C{6d+PeMPYxc#~6g{$K?-;XZGGJo*1q>gaMv7%e;-39AT{b{{D?4*X3WU z{uxzZyQ=5Y1!(omj;IQg!KFc9y3zB593HtoDjHT-g)8*f?KZ}d}>9)~O)jsU# z>~;mL4ZHDRIEaa?lL+`vI-h+w?0lmOpK4IZ4)H6yR}3SQpa6?0^RnHL@+QtEwShr; z$E2D+nHbgc?r|Cg4fqAq`?2%gW3}xqsu*-W_<>R#Y!Biy%;TOn$O zJ#=GDh|-N=j4`hJ$8+0Ql8&28X?6!$TUWL)jQrdY8Q=AS9;w_E(kYepYDwWK3kK1p z_@uNuZjx-eFJ`*6SOzc*yFKSvb2_EGhJmLgy?&hiqJ2J7=dBuiCPY3J2|}lJ{X5gg zdHvxoRP?|TG%3GMxE%b->FFGKYdFd|J+!%P9`ja*sWF5D!HOlh3)fUP9;gScDPQo{ z+ct>IC^lyF1dbUxF8ku)IG&&@OV#72s+mwH{lw$M4u|#6fQMIwZX~Fe&}i9}Y`7mT zN(x-l0s;X+WbM>TzC0f&rU>U%KLq5)NsM}tl^Y{tfB=OekXK0cpfG_13wGGIF-}jCmB<2a@OmGChJd3Qpaz~AXxr;+RKl#2nb)~P_!(AkySG_`t7Wvr6i zVdLkYivB)$v!APnP-nCO=tr0%{~qULlJNLq*5A7~VZ;hCv>3q+kQykk;84o_{*NNy zBcYB(V4?2NXtQLXeTf)9gWAS;fuG7xUdWWenb2QiWo4d%O@!r5hnpx~u*}Sj`Ap^j z-5{r(1-VXU;t!}ZCa8~zk;I+Oi&;b3eG#&2*EKk&P}^@P_Q*%%1N~VcjDiDpxNE@udX6?P z_t8`7?cKuB$ZX>13y}YjtcI|n@!9=anyQ<;6E5(}AML&I-ta8ls~|}=@_!7U0Rc+9wUdwy3XJ4a-i==vTtKv-#0|wqs~C zceY#*ZDTjBt@@O2byRM}?)7CEY25LNGCH6KMSq!D42&J@`!`q%KFdz{Q*!x^RX)*t zzx}u4^yZ)!njmL!fVSKKi;R$~$f>iU&BCej;m~)!1cU2DqtQ1)<@y{lDpc}|w*S?u z=|SIwVgQS*{+4<87a*K(Zwk8%s_9>fKN*=Ga$+i{wliKqJ3QlgIRR45kL-DdFv_2~ z`hJTd)U@vU5@Pt3`>Dn46xkz46z( z4K_@nrV9(o<87ZFl&}zdNpU1njLPadp{~9SBh&6PrWAZ=>xx&-f0+$ho7^BFoe>TE zXo*oL{;E>;aUHQ+yT@mk2tS*l(GE#KcC(4U?f@{48YehWJ;m|-4bi)#$fh2|?v)X0 zXWL}s3=I6D>aNU)DOce~gZ8XPa^XndkUUYe=10NM%kYUEgXs+>LQ(@FxKh$-8fxJ9 z-e6R#MeN=CI>sN~_C`_wl^~6oqW_k6ZLgVTt!m3ob)jx;EdSH^FWfo47y7g-9AQNf zro;EUb`;A|M#U;^0avK!NwrHi*hrd8E<)OAV)lR6A`njhJR=zTewj&!3euPqCSA^s z{2mm5S;>mo+Ia@)=n^XjSG)%qA~5|kzu~`FvW&f){#g?AL;+RM`pCO0=`*54xp^?vTN(mvBq|JE=g{AO*Gan$5Ry7H`!s6 zTi6v2%caTv%tI#BPDP&E*i_45f^6LCDr^q9jI-SxXk9>icol#oH>scZ%2V3sK`*q` z67!erUeJ2;M*?Xg_A>5T!bt$wddmn=5ed_hb%_vHX`z-R0lSWAlHdOX*@R6;9h71I z?F*Xr2m9~DSaJ1R8~S<^_X$1}`m@6m?ybTrN>u+V#}$C>OU#97hE}~AJDDzuL(9uV zD6-FC@#kM*iy$BsUb^_(DM~#d5EGEcYHgcZ=WssC5-m z^4EWyJYF7NcIM#+se7O_bAAD<;?B1lzIO+{Z~PnGuk%jQkW2w_Mu;^T29@b8`w=2n z7&~+|4m8yObjC5$SepTvH-&DU1Zn$_zkmLTX$man zI3@vZT4Z|4Y1at#-%Y@Gsyz2i{y89#H@o8hQ1-cCrydW!{Ix+NWUL_|@pmWo7b2+> zZ!2|8Gz1L|1m9lWbYWW5z!7Eb4b{=q-4X?WEtiv2?Ofd+J!m6tw=?Hh-TOW0fe?#I z5!zQa4_+z#-Nd8_4r_STXreN2B0Ea}k3ew03d_4%ScQ4b-R;(#tF5@J`W~x8ph@pG zaiXXtAKym*?(!SXI%vJjrVLydUpZ?~W(oKulR#c--c&ESP zR4Ma2?Z0Uw=dw|z^H4+^YRz7^vuuJ z*-u7e^Pv@JRulo&xF*(@&sXuG8rf}gq9niOvfq3Gb#_HI(2}-EGzJ96`{CMowFdXr zJ|~b83pDJP#*l@Nz1#FfYA@Y=_r|f`EgBQOmvjx7Wt{6&1#Wh8YtyjuzbJoK{&duL zd$D3}b8^rOEwU=G4lwvV&Z$VFqMsZp_VW8J-yHF-u|EzaYlG{GeX$N%0_>Ot!uFoD zQ^Iouto-R1dk*(k$`~9u`SMYMOZW_6u{eGH<^j_R>&Bi8Z;a5FPW$p~7VpxdimL?+ znZ%1=xVIAM$-3QFSu2?)55nH5V{;DW_2_R>r7UGVlpxsHV3<9w|0+HCkDg_M%R`9{ zC|f;`90AWbbPMBOcDKRynH-;EDA`$em$j_l_eI?+swYF*_C2LKqQi6$zq0HZ`O5Te>Pg$#J9JF*905E zhX=Sk)O`6}KzPJG2UQr13-QsN2P=~8*CE)!u2KVQa>cA5IhY)!a!*X`qq#zQEh1q~o=csfZWrS$#`urD{^2T64 zGDXrptR{5E@jeQNWGc!D^^(1guqKvNhrBCat4)m=18J$c9nO`7sqcU1-bOlqQ9yL= z6~S2G*h-TcJ>9WUMnssgZv`oS^HRFa5|Lhy*u}jNSj3|P z4~8FhL(oB13&l$+aqC?K$N`!4x1#e$w2@0$o{*L*%1QTGV^cp+4ZA0?V(Globn{F5v~D{KLv=E96QX6Q5r z1+D)s(->8|*iv}CpwiuIj)o8-Zj^N*mdX4Hs)QX+=&P}u+3dO{$7g&7J8j9c#gV$w zsDlCDtxLX7DLsGEoG+yz?Q66@e52W!VF2XR3R3d6Z6B>Zn-cBzE}o|q)!i=;2?I*U z6^mRjQ9ZY&`S2@XumPcu&L3_@e;6q^!>%8%_OB7sJ(hs8wDnFmaO7rVC-t#tspanc zYZk&{EHz{(Or5A@9sHo;$$h{_QihU-;F|eg8w{3mF!y5Rc7>jWA=|vwS6OLrKPnBF*9cGs5y`1m6xZ71yHhX zbbhgCgzQQ$Ktv4@KGp-Gem6%X1hP~>Xm;V#a=(d@{zxFNj7z>AwU%1%&D$e6d%3Os zY6P2$LaIhtNAJcf!L%KmKDgDUDj;5xT%X;{orouiRT?aCpS^xkK;~=lFpxN`Cyga@ z+ry{+YA)d(=8N#t>6Vi+;6Z!!``T{)Eu_gIH00jrJMy0`uJ63dR-3wqRV%wNX!}go zWLTLC_7ML5u|(;^v(mYlid4o@$o$veXMl=UI8igSxB724`I!$G4APR9fCsi-84{Ou zPK*EMr6a9)`dTmGwvY?F^#*A!xmFn9Kj5QEe!z?k=nov$-g>LgYuK?zeJS|#UtJX~`i?$4e{ zduGiT^|Z2LLtX@tF&^+-Z=@kNhQV=`f$N`&GLkoiEG)AQo}22lQ`6);8jWU%v$i)S zwFCL1@&6)WOmnteCMC+VNzcE4rMZ5&G zvq9wWS6BYEJVUM|bi);|yjHQimi!DiGm0t9e5RreP#U!wJA@dNpS}=vE2N{2#hCcN z_PztG$))+1-ix486$L2*qBOBlr3i?Cf>IR$QLG3kpn`(*-h1!8*91c75FmsQLg-Ba zMZiK)5cTdGJjZhCcklV%`#sM+10;F(-JSXE%>HigkzE`($ME@0%B7Cxfuer4 zdoPgEGuIU9UchWl=w~Y@$G^Cs=y7&k@U72XZ~!ioC1`V~MvFzR^9SXGtl$AM3c^A51fZ4T+Yn?RU#3Jb1(4 z%-sH3{0T>2`V^_}DyeeB%%=|%K7FLTlgJ)cxkZ7lkCa+DcBah7r&Sn`J~P}`&nA5# zV9vb~#rQ3CfPXb%YS8YPi8TCT#-oU2`{7-?QR?}x{Ye`mMgmW6uHnODz3p10opxkD z-W?@kYecGuN%2aj@SP)l@@*OX6JA?^XC^d0s1K8D|cHq zlGbeZSn-&jK{E=7J$A}Hn&j2AB30u?ioNc4WXA)?6J&4NVLfuA{Kp1e^6TZ6{itMh zyckO=HQH$Qka5v(?!Uj?e<9GJThvu3EP``0EA@J4Ve;l@0?3VLT2SsIok6MmoIKlW7Uz(VXE-DX)WNMT2Znsw|bux z+;$urq><~=tFF?p@#PB}I#24N`mFuhptjV^tKBhoHW&1BZK>w0>O@;}Y6oJ?Q@G># z=3Wj=osEuvI8(F|kjEo6AN8S-#a3TRdgP%!=iLwQvg&x*ry zHgqmSciMLaC)Bnei^*uck)@^?QPWH_M#dZR{Daeo*f|Edw?}O%9j7k(_kDbJ;PJCD zpT;H+gy|sWrY;iK?Vyn-cRByEtJKDo+Rkh!oA@ATzz=km9iV8ksKc8FZx!@_Xv#;se%AE#b+oYNBbw=L$7KKoeT{MUplZ%CfV}pTDH*6>SQcZv_R#?K>d7VwcMi*3%gI8 zr|yoz*}9lLV$ILuCo$@gVdOq)MhTBaFFN1Ezsb}Ro%FYuQ9c}X=8=5IOP)v6+9bsj z_aYqy$I4v2vs2+!3rJqEY%)gm{w-|4QHDHz-D?Y0XalijnClcKp> z#cf_2+s=nT9E!8&%@f|UL33eEk}p!ya>p(nex8!ph)-Pl-UF=B91F&QFhAw^D>o0d zAe%Cg#^x8g&ZJ%-%oOTGAM=i@zGUf~~$Ia?O#eE<5%9DT){3cKn2>y_RKk z!-L+vMIpNqwUT1enikz>Cb&a~*$syf*)lygYR6TUIzL=knH^w!VA5W*Q!bJDXgteJ zDh>CDnCV`h)d{;UvCjFu7kO%h-`9smyeBh{q!+7t5hL;3`kjnSlgA9zla-OF4#ixK zyLQU&2^?DV_Q@~g_A#8$I*(ezU#ZSm+{}ABMw6!~5La6uFi`ACl=We;4!niaDy)cI_jtY9Cu3O!diFwyK=2Z1$W5jEncmJC~4a_xJrC>|%q^m~Z zGQmZ*VJXVmErcRtORmr5ep$NCuM|;2WFBO1P%u9glZ&fey%Q#FN@k}r!ud^7v9F~E zCF9=5)>YIirNdY`C@whi&~>@aE1A>R4t6H^dULLsBO4;OH(^DnU)So%+V1t{d9lx# zBG~J~EQO2P$8)n)cn86{0eXfQI# zW#x1O{z{uw9OKxq2qQzAa8jgn7 zE$%cZ%dJh-7z%jtkXl4?2Hqw=p4M(kvQ0whp|0DG;fqcTFZj+x8Hf#Cef;39$oUbz zO5UjJr$))#?<~Aw@c6xp0GHGmI+-8S6;j&&XUG zJtL*^jF%ZH)-tARUM3&z&3|XeJO8yK7q^dRyVTi0a<-ns(xvC`_bIjomSby+KbbJ?3{|Tt&l2U)@S6=YgfTBbT|X!ZG#q?*(RdYdhCJ@7y1- zw8Nj{%EZpsLT86g!x#`wHBQB5POAnylGZ~u;n&|a2`-Cc*eA|c$GTp+_&oAN8K+eD zNu(V{4JUNOhfYjkjGNj#@LKkb=3?#x9fX5;=9#fOgYjxF7qc%GUFbSCbR7%;5<5dx>UWf$^b#7~)^S%3;+X<+=Rz$Lj zg0=R_C=VTv)aiju%@>DAu+;0;l5>HSPIL}wAL+shtunm}oZhPR?a87mo3Vu5aS*5# zpVwV}+o{=G`S=LRDpS4kfu&lNELLsza81c3rS@J{JJQGemb@gAOq;u|pEf`%?_DhO zrA+6|#ruyfRFSKlRK1xin-P-dFQ&VQI-K?pXJVr~8};6;g~{6flyE3@Vk=Dc5Svh` zYUv~6bqB@c2FS9mOU5QF1cj7khc6a8G`6f62`QwsnG`PdMM&(VZ5xGit)I{4$@69U>V>jDO%@3Ql#~%wk=t&1- zc=!ND3cKSptwJyRra(FO!7}&RQ_A`xuQN35=CcnX&+$zSHluan$XDkHWAD_A>qe0I zdTh*|CkmcaDD5yfFh!N*|4w?Opa9OSJm4D49a0)dqpdf6Apqg%B8z_b1z+KIrmz3K zrVlEJaxI7Pp_L#uP4%u>C;J83g|{0qIr3&C&6M#YJ$@D>nYIo~8>*jJPfW+=y=Uc3 zd7g>Y=2mKG!Qj5(1-)}iR5ajEh_=VSFbfoPahj4a`#>8#{_vGL+vZ*n@EP1^<) z$5~M;-V&Hx)!$rw`2;rmhYW9nHg3qMV|iFL;fw&NX!!T>eD= zNaRaF)a5z>+mly)Xc+xB5&9q41~L?6XP01!K4i~s(|TLh2xQkuU2BRgLVrj+#H9Aw z2Cw*xpJ(4Eo6Y-7mh}Z>+0p(LuA2gjrOkbv1D9s&J|J@2Q#C`FuNfv)w@)yuoSQju zT7Zj*;l5x(f{iy{1C4m!R04u(o|XI12W|bc1scr`RXqxcrrDd<2vQ~e1EjZQ3GT0| zsR#4lKBa9wqNHeEbegpG8b7Ad-I$#Z{4*n?<3{Ia*7G)3^|endQ13E0x2FOhB9`%Z zKo+ku^rW3&1n1!o?HLR{R}#b{VtIo1&1D)nzRh!axdm@^&4ZL4jxQJDuHj5Zc5Agn zhgmY4FCO^Z=DbP>ml9x4+83c&Q9x6Ri+_c#xaJ@v&iaL4yz8;D`1M9~RfN#!^Rh1N z-sZ+@=Su2S3aU92BwEsJL#+H?>e4;1@%Y4VE4HiY@|wYe-i!dv95|toqP~?{XzNw=E-yXzRUugr0R1@9Yxr|WG(F-UwWSI*UEG`Huk9DwCrMR#wL^S z_}SLDSFDrC@tV@kl8KQvxB!Xg7rLDZp@_VkF%*=+15CU1JNZn9IKwPsMz zL~_RJd@^Ka@xz=?f8HC`j@1rctS^;|ln^l8`|4)wp)U$lPQmHal`Q1<9g#0} zq2>IvAYs6M+fD{qzd;sg;mKu=8-022h4aP0PgfjCx=Sj1KZ>aF!@3Mroz^=yYScIO zjSGZ1t&w8}4h07Bw{jjK$#7IDFWWm#xtO9xO%?5MuMB+2QX%|k0!2o2mD3)p(+yD+ z8H(oTisyur#Az64IdQDESN@nWMQJZMN=GdEzfw%1IxA(@HXhIsM1G-Iic;`?=Sp7nykw4vzuCG&rF&xXF};_@ zdLr{|tA~(NjW<5+jOMW&dv7tksWLLksI*wRhf#uXoPN%bc9T*%;D(LNitbeZ8)X{m zNI?&~le73a=QF|sYrFYRvB!O4d{=$dSlgaoL!r4$g1zG6A?*tw|8!G2Mn?GN9?3&M?@3sSMTat zMjsVNtWjK6m$O+(Ryn%%qLazJK2)UGOtdaaD4Mx(`XX6nD*Zi^-d3s$cx0u{Py%bs zWm-WKD?ytLc2t}F>M}f6|7wk*AeH$gzV<8Jn;ef12w4$aWT{aOq`Fqp<>T#_%h7Px zBhS+v9nx8^`B-$WS9;`sXFa)5n0H z2k6!j;K%%ZH4>gSsm#db>4(Xk^kJwieC?iK&~0stnIPc5Jdit{ZldEkV|p{1clje7 za(5pRvwC8IO32ov)8I-SA;kw%_9^+_mB}D_UK6lcIUMQ zP6zZp%do1}(x;lQo!1QWmk--lk{EQH-#{TI1ya<7M2)IWOvE~xn;Km-HP#ed%{$e3 z^wNJBvHX`2$1lWABsM@h0qp>^9S|#^Ul4EmU1BB@6GV(eV)%}T1>g>-v27a*3t$F# z0@gqRBxy_LuMnUQkiZ`ZLO~=52tcqU@7pU;@>kk|0dO!d(9_e=(LzK=M@J6`fC8`J zf^MsXff0ZLkRT#*-C{um3PA-#gh9l}wsSix%a&wtj}`O)(h#wXiIFI3OBO9H4Gj%7 zH8s^&qNb)H0swbGF%>05R8-WobVTV;TRLh=axzj95>he>Dq4C_%*04fM?*zPPEJNn zPC@mxJ;a2bk!c(2_MOC5P@Q*=p za&oY-GSNacNXWr`Cg#SHw79sm($iyd4+WU>q5LjxUAyBlj0l-relX)TAGlmsi(6uD_k>*V-{uUNz1lcPlWZsJa$W-_Y7K zJh$?hl#Jx#%F@f3>G7ey&L((8abZzOd1YlqSxIqeB^=q((bf96fdb#JzFmAdH}`Vk?FuLdwDEBh(k3bCmk&$NM+fkO6E9ausToB{#`)@7aRAOFNIW8mZ;omSj3zeC}EbXhxoWQ2gjbayntOS4nr zB0~fH{Q^QFW8)K(({hR+U=`JfR&-xK4%>_A8yJ1|a_Q~L>gv0txyd0suAeYGIyy3l z$KmjV;j!_F>DgCr*MOp5Ei8W`r=}wR`1<)M9@B~HCd_`IprIjOn;pjEdfO{vZN=Z6 za48rZO*|OKe>)^8H7>|26i#vMUSwWnO;u@8VPQd5Vwk^Qa8z7Ocu-Jyd`ensT2@g- zRat&kMow{ceFG9+SyEVBQPe|9!Ls0=7_nMrB>f;15J=pDrI%liu6%R%w?|4sgUGpOJ(CEkj zx()M=L*CNWFEk=DGCVXaJk;Oa+0{QLEhRcQC^{`GEj~7-u(Gl+BPBI0B`zW~G(0Lg zIyyEfy9|zOtgo#q0YEeJN^9V-ibC+rc4Tm1NOWpWL1AG@bz?UUK<>x1R2A1?7v9ez z;{ppi3u!_d^NgX{RefWghStDb;Qztb| z@7%j{-Nwc3o|*9-clW!O?ZXQz^AjUO13a8;?%3Geb#(I$jfsyAcw}jCPD@q!%*E?B zu3fixx?`lKtYu(!!`UY&I4CqGDJeEOF)KGSqqwfpcjtp>iNILPTI(ws+lB4JBO-FU zpH1Sh__FhtYp=YNX4!pfoJqkoF1Mx=j~`j4V`Zje;T01T;Mu)TSXgksw5pbp22QWV@t_vv{*VS(YGk!ygz`#p12wsO8^kx0}6y|ALf{_WfM zNk|+#qI2Epk+ZvhaDeAiFMmJ3kmwNOd4@wQ-ku-%$(gyX6whp|Z&K1zuS^UNV3FBj zUal70SC{Md*hIyLMHj$I^O4i5Z(qG#o*f*WeLgfiJ=jpyN4{HH-N^Fl)f)~^y}exT z7^=ygICfZCT8JWp!*PR95IkWx~b#9C3~%m_K20wQ}QD3?8M0UYaKDCr%!Rk}eYM8r5MY&jd74=}M zQ{tjMO=ajdFClPcC>{m&jztMI>BG9`kL=m6s46rYC`;ylgVsRG;?265a8+;O9q+{W z*u1j*rY~%q0!n%&ZW;L&SqBp_bJ%2`%(kY=?sa-L0ny#eJNbq72}wu^?-_mq{Dk!Syvw3aZRZd_^aZQrx5sUqhV%|T2s?$0^l%TV#zhP~^UZcw zBoirKXNbSLBYupM|D=w&XJSrH0lclbx~!_I0^W*7qp-8{oT_0?XwqKXa$d}o<4h4=d{uZMWrJW(qaqD0^;HV+j=DLYu06$ zdPU+t;&~cTdBxeTVW{-Zz#E-)^l74O6)}&yI$^U8<)KkxPqjsP_Gj116Y}VI41?pd zYFaVR);_!^rJ*7vAtm|rerv zM1%x+xw(1v2?_A>3-0CS*~QJr-YQ6TO}hPQ5sJLK3|3T98DivGfPMXuf?Z(0n7E|; zne%4W);Dfnw=lbSLElh&S3{kOhLniZ2?YhQ-CPT**;A+;I<0MkB6L{VL;Hs&`Pof- zmy<99m(n+@HC0^I?K)l$mP93C*Sf3EKPG9HjxiebY+NV{OPAZ>N zIi(_ZR7U2=;e(~lpVBfi&cC_gO-!Zk*XU-cNT{ORJX?^|9Jx8Z| z_V;dD-MDIg-B?1HgN5yYinfN*@uPCbWYmw-?l`;uaA?78N*h9(cX8qn-VICnqQ8$F6Q}?jEkrt`F?*-@ff) ztGsXf0fVb&Pa9hrswkbc1Z)1G>$hbH%_2s&4s30g6V=uYTs8R*oxLpE8Q)%>@PV6& zf|7CX!4uk-?ml_^%FIarEQCq*oV}f_h`zn6 zkGGqfgT-B+(D1Mze?MO$`FMHz`$KP@?oVBu+#e}!qc^*B-_=_8+{G&v<~MF!)=@Bc z=okHnN9=}QYHUDmQ&T2akhaZPQrBGX=1Y>~B8md+e8)|0J9_x|1_TBN2Ze-!kRviO z5=0(hAweNQ0YPD5p&>!O?hozn+`M9Htba~d_pbj_>&L;-DJd~gQIT!3? zUN2T#Gkno;XEWe@boIgwYYll*7oVW8$e8%#)D%F;sp$}W7Z#V47Utzu@PaR0Fi%?x2K<9 zRD`>;r*B9^Y_y+WXly}da9nm4th2js0Mj-6dgpCm|{6 znc2AoC8f|$8TctJFDV98P*9kkUyuiWvr-dd!UBCg-5%Q8+_-V;o^N8Je?T6hx&jV| z)xvA4pdh@c0E8WxSsCe>8L26WKwqI@@p0i%QK31hF)`T{MM4I737vwR>9!)NI(tX4}qwyt%UoB` zac)jlT5@b;n7_9Na4I)1|A2&&bic@orpBhGhUTVvL|tu7Rb^R8QDH$rL4Iydc4iug ziz4H)vQjfLv&%~B8hgh35q0%NB~5ju^-ZNsV*`WO`}_p z_4ROMQ*%dqds}-~7pk+Py#v+J*4ElW6a*oI!vLtF{DK0|@8pD-$jGn|;9ZHyspar2 z|LD$fY&Qzk-qHkzZPl%=DlaQ5DJ%qVoYmGzxH#Yvq*t<7y{bO)-Tt`SmgT`i&xR$T)& z1i4x1=}9@L-gZ<6`sK^F%Nt;#U+qMoajzB{yLxhq8Zp?8&Ms_U-_(n_sR1kwiy3{n z_-d%T7mFLjpm6=z0UQq33lZ2M68DH*ot>RPSuKsodITJ{Wxdk!^2+MUT0~=Wdw18+ zaCcuD3|`%dZEb7o=mh9n+FBYK8-Y?Q%Zdwf^D>J@Ur$d>&61FjZG57nBwZftotSzt zn1z_`=>)EW8SKXojZ6*?;QRZ*K4x%mXcULW^!5+-_x9uQ_O*w&cB3I2t-$IiRBKynLw#LM zCGe(#vXKwV?^f2A7hg`#EWUj+(ceEjh|2TI09%q?Y(Ewc_E5tkqf_HU13*5$e{_7H zAKOm=p5D?sjK>e)`TJJ-SCmF3+tQ`4{C_n=Uymb#|i_S)JeRAaVRL<_J) z|M1Y@(8$Qd*zoWGVF>7=e|T~bi|qkA8SZOD58)y1efuXwp|Mm8Cqq{r1fL?)P_70;Odcckr zhpNacZ$MUoT`;`9q+(zS?38gsqX5$I$WTAJ7jz!egX!(*YVSeU)%OnpCmI|Ezl1@s z8y*@0pGHOiAh12f0n1@A07Q2;x~mfmCR7)?3tRx3_5$?7_`#u}(JH^x&XyW54Z&Nx zL0w{!0=!`R`Ukt)u(B8hk)HEQ#%z>z{t8GVNuvmZwOuhhaKc0Xe0Ev%*fu1^eGtf_R zcye%J|8OsWH~>5ZybTTw5(xNy0KUHq(ca(N+=+&_j|>yKz#|#GBh#Y*9RLsj)!E(E0|a;XrpKY0S~}pZ4anxk=BCb0bU!pipmMNWfq^vCUR7IHU7Zu39G%|>Mh*^GYXA?t6dLWsVT2nP=xpv9z~Kimgz=Gy5p+#a zVFh+<5F}G3$0jGn$H#!b4M7S81FjEDOu(_x06|wb7-Qh48z`-}2h)eaWX7Tz8+sdC zTbmjXP4!Jp&7D2{pu0Fc5Cr;ygT~`sz5n=!UnHZk{zvE*QW8MMGb*IwO-YHvW+!H{)zNJMQj=q_jix&T1;w6}Mm@wn2s)by0ZsL1#-G`Sz$gGF>H~nWK=qJu`|*P#!=vNl<5SOOXP(W^4Gxas`-VpeU}#ND zOpXII&n6*6;}gKi2@s^O3IZdnqrDA$&mOGBHMNz<`nvWAS;GWWXAOuw8j)rB1z-gM zvrrdUZGfYJn!wF#S{mXbfO?WsQZvh1hX?8#aQ$E@fV=?c37X=dB>_(u92uK>_Izf3 z`OW0e)EKH0xXaMc$i&1L(9Gm0(9R^V8JLNIy&<=TECzbq+S=F%tWsTBT2@q2R#01c zyZ=Kty0sQr3oFmdD}aGPheiP?U`cBRD@`q!s_QzdG73xcGU5{}+WUr^avKOZFmeGP zV0|>`BESw-8+0#Wbn^N9>c@?b8%whjZSZbjS}-w;42=LBL&HNOqa!0={0|O6F4Wh9 zf!qew($d=4R12#qDFvse8M%2`lgJy||zP1d-Js7ui=))YXduBee%iu3%UK&_LTD z_N#y)3F~BJ|9tUx}yu#-rm^USXU3PtF0^rNz}CB=BBoe@`PkK zs;#T1xe=(yOBurROS02OOkb0w^}pbF7c2d}TGhCzA% z(xUwQoUF{axY+2p_=L=SpwH??Sb0@>3Fu6I9=Og-PXimPq=dNW2(Uv61$)2fTv$T` zyrR6Sw!XQ$t28>HxF{zlD^9TgiL5f1HIeLOwApFH-vdE720CcP-PusAzA6Xews6QUxcBBOyg zu-SEf05iop;y#56fYbSSKh@YRIkGH40 z+hZ5kr*0rOaNq9sH4F30W~RnQMur9#3=EA-FI(NTvA=)+o|EfScMorn3GjFd((rE1 zE+C6=-{Jm!Cr6M!0UvDb9UUJ$xOd;t{+@&VJ;(c?KQ?!+TUlSZXnk=Pg-%d-a3DCK z3G(v>{e5`vuFXyB>sFU8ni?4iiyjo0I<9hB&&W{cl!}VFrn;KC`l&PLjSTd(H8nKU zPAVxX$R0a(LRMBzPFDWpNfk|y$TBp#WO>=-@*RhJHg{}q8*3Zix^w-ig}Ig0m1|ca z{1?qGT{61}elK1!H8D0aG&DS~cTP`F_nf}gX=9bQReX-#PaiqCx;x*!b=AZWBxiIr z73Ab(Bqa}t(oll)MJD!LySUi5v#>DHgTpu~5;7)kUfx}7JJ@!zfKx^g@s%dDPIS0}g`o=oa2b2x zJ*l9eq$n@1qzF1Bd*X=1F;#vPLdfcxp@FHn)#VFkHRTRViHnH|^X}r@0ghGa!D2H= z!1WJ}5+kbqE>tfL-O=4YG&b7Tf&?3-cI@!f?CjjDH_Pj!6g2cqEIT;3cJJBC$G`uO zq@;wDwDb{~LkDGK4hTyeIdb#_P^0YeBZno#_6rJ&h>D3FI4FMTzyVPq0e*e~LFh$T zLgCXp|PnM*@dO0RrPJ%_^FpmYoEbkCs;SA=^3{Hwe8)<$HUFBlZ|UP z53hj0zI}XqxH&nwICiqKZ0Fd$o12q;=S~hTE>2EP_8qLu^bFhS+C2)HMR{0u>|kVI zruncqOX%+IsIRUp&d$n7Pe{0V-NNL&!Ihhrb#+Xx+d4YhTro8=zGQXtnu)fCnw*%R z=n+kGaDe0N?&%#68k1I332*7?!(azM2sAT4|7vmZ-TKE5D{CLtKaql?WlC_23!S`@ zeEPV)x(3p$;8>M{f`W|X^QVoKm5-lRSI8*F^2-;gNnSpm!nGqSvXjD}-nxF>;)=~( zt4n5=&8)`XP%%=xncoCQne1GyRIqdgeH=-Bx5+(c8%O&R*hp(&^MgAU zW;a~C0wWSq)6z4*)CT6RxTx@8U)Otg9b6teyZT0^=7Q{0dR9SEUOGsiC4z}QG(0vb zF*ZEF{l59BLxKXkX=mFDgKt>4MZ`u#WxzVntx>HZMu`g~=-df0YtJB%YYflt9%&6d zRJ^yFz{xBh$Fl9JeqY+byHsZ3CEar$$;e2-Q8g1I9St=tJ<~QOI$Bo2BXTEX)s3#& z+_SgRJhX?CdAY5!dzGG3Snjm$Ig{&-&W?91F6f*+e@^41in_Y8;z^a0#}4eK8;@6- zuujj9q^Ea?4ZlUnzLG}Q5+ABpc)p^kW8~%Y85*(Ue3Qv_>^f(^_z69BzoLIHBCoO$ zKQoSu^L(gBO7@1;RVvGjG;F6`LT+|ioTtQHoFJKder(D+1&_?;(b@5y)`qeWUFN~; z>k_VG9D6tgje?51=13?$zh3;p$j0)yE7`}($Mxn-uV`N?Ts_+X?%9}|uF(3&>Vh*F3GMAT2Gcp$(ozv=|S5wUj~1$SIrj`{yOuXc>8=)lF_a@eK(LczWCDjGBs? zj+J|KRzY@*hq>JDFRj66A1SQ9LnrdE) zZWw(wGDgCyYM^z1P26W_mxi^&{p;tCu?_oimgh{+(a)sY--)Qg^tYFI#uhb#9Wu7F zqi1rHnNLdP{4KA<>b|*mOJgm$(P0TCZNqa*@76X+$;e37mtQX~zFzrE#mKsyiQ?T@ zcSBWf^b;+v>0BQ>>#LR~x=IpzwvoM?86ThB+_qm)_nh*6CQ452z$(JR^1FAd8!N-P zrW9Z9&K_|HiH(T}4GRl$)#Dk7ysV~pl#gb9Vs+aA4eK0u*T~%K<#%shzgYzj4?s_D zFfecD;O5#v_j!JNY-WXwmWg!-JNF(wegS^)Z_Duu2nmab?C0ORi<6UkHxDP%dUvA5 zE<%dGUs!xbL1jZXo`6B-hI_a?^$(8<@pki0K~oB8Sc4P&$Z)?07mkX^7<;FdSC^#6 zL?+}_!%L!X?5Pot^(1#}rV-P<>k~~%NzV#SXoL?OlsJ4$K}7?cikvyEuBv!UQka)> z2P=TGi&yA?)G_&!s$exzRZ&q^KB*{o{HV;~!-u5~3b2t8vK_?UH`jE&q-2Fa3kve@ z|MMg(n}F7ZO!$t8aT2I)zMIypP5~X?C$NTh_u@Od5-$< zy+j1z<;uoq7DfgpR(2jiG3n!qYNw&4+sHs)M?+cesFe6YF|k7u(lWoBPSG8 zHFfk2O)g%#bkW36Usp>*O;trzO7R$fA7c2^xF(DS27+uiQRzG<{N@On^1L@*mb7@MLm-F50SFhc;WB~sBfafN7}#@E!=SuA$kSKBke!4Vn>5>b_DdX< zQ&QFdqz)o5b#)ER(?pvP0YL=CgdmPOtE;1FaDpRF{{4{RB9~0FMfRyhVEter#rG?F$$rjNr+!ZQxla8cNd5)uk8DCcw^m z6s$;#E1$?|n6`876%>__IU#>iMGXLfaGW8^)73ruD}f7u0|Ij9x1^AKAJX5H3=Vz%f_|y+P15f)_(K>!-uS8I z@37n|`dSaV_`@cR&`}lGXZ=K={?A4Kz%_*8J2t<9`mPLsA)d|tO8{=^VKHS&r?`VP)-ZTDy0{fF*B)OA_|3H!6+)$ zBkL6u5Wiyjhx+_iY_>*G!*@8osz;$-9uz8k@6`X1(TGFgd!K9|cI_|l00Tir`UXcy zN$D4R5fxVdy%P~-{6K%mertgK0s*wC-!cG{t$`+!KWGS=0X=*(6M*w09=Siq^E2Zu zu#m)hC?k%5jue35i88)+`WwUF!vq?Bg9D-Y5fAXF-vzW)NbKtOTp>6_3nS&_i4eZg zH?7P6nT8=eTUEEf{D=o)hxnoSuNPmn{-ffFa3ICV%gb#+`QG@yeBSEfcb@sxfLpw` zoaa|GL=8bU+tM%K3h5gfYhZr-WzPQk{tG7JlMuuu2C7kCFH6Modr*Fb1Uc>Z^DPkz z)EY=qRQv(W_cr^5>o@MiPe{;-9}M}mvq<19i0}RJ_b?GV3yfM1IRkiJ2q;q?3>!$R zU;FV}I9ny4-4;X8?i=SVAm9#BcU$fPl_4Q+&?NC4edWAW@{1T^OV9wS`imaFSLe@g zzUd3%qp)RGNQc0VAn^<_f-V&08W2!Vk(ewO?P*IR&ot^M~K{>l$h0CWMGDtsGL4Gmi$zGC^iaEM(0 zHuyj6(-s@>3RJX3TkFgpH2A++OjHqYtp7+O|FZyz&h$Sk;_q`mc@mtA{7e68;7>I0 zU*sc1DE~!x{zPm4-uhPq|7zf04g9Nt|GzZwe;Q8zS8MAZS$hAu;1|I82g28X4$nVh zyZ<&k|4gs`K@Vt(oG(QkYDzf}T+{Z6~T2jTZ?{huXYe!%nl z0{)TGA3D9o@mtZa5{P*~prAhzNz9i1UP_yo&HW*l`bRAO!E$0&`Wq2B|5WzvbmAYB z`;FC4(iA|(96AvB&7lZ5mH-a`KS0301=VhyP<*@lcQ6q}{AEQ@hbRNQA)rJ*kO9t! z>JVFiwzRM%R~|t;UHFme<>ckSBh25O<$&hk@^?D&L)n(Te^xv3tnFtBvY`9KFCu>< zNa|1La?s7Ky!|&0zg&M;UJp9^(|@H3^?i#VroT|Vd>zDZD`^X1`VQDnXnv9W{W;g4 ze$Myf7yuYaR$LxQ;12Ou!?7Qo~knCujGHT^wwBhO=D@MoaX0?$k zR>#%N>gMYA|1sX*XE@Ju&Uwzk!1(`#&Y)vFFfPbGib}^O8sGF9cF~3qEs)xq@scEW zKM6cj;hob82ClI%y5-^D-&c!M0fR0#nuNz#%Ixf@ghstZvA zr)M%0d7e67&^7@!l*&(`s}Y;i=U2ieD1?poR0UvQn~yTMw)s0!^BThVt_3#_siY=;z%;nW33ToL!x) z!aB?4uR8F)+Dq16x$DdYR0(E3470( znK{Kcj!cg=3Kk2WxTOszi7~9FICWf3$u!hom5+DwN(u8BYqO3Sobe00?n<7pKg)2EGC9EC5O#}EJJ zY7DAR^oiLJp29I=H}WQXXindiL-qDsl=5;TAX|BBkXr4bf;Nsyjr|-yUDnnv-aSKO zS@PrZN;@P5y~MOoARj+v7}lDA=WKn10wXw+e)#h}0HwRe%bj4?pfA^zBxFt>0*N7~Qb=<+CF zUvldL3h;yIix0)iWf;VHIU);Jijow=Y>*mBulx4t4a!?9V;y?izIzk^*L`!yrlDVH zA1~|bZX^YMqCwNPQR%$eUmHy}Y|`B3dn^NPJnfLV-Y9x@DTJOBj=B9%PmrG`h4)p@ znCM8lo|pD{7H;aH{dH{#kgpV=r}UN1=s>}plw{85*f7h5-aSvcXT^eJKT}ynn(VyM zOWwG!M4|jXtc`Y>UMKO4+C8kYMG!#5C{@jWD+1@+=;rrr`l?t+E^>67l;gjAZ9?7H`UW*p}P4lNQD7cv}nk z!7gV3pczr-R3biY;oBm3UY%n_u>FK`B_VykUWK{`pi{Lu!(Ph(>?xxX;#&W3QS7-7xog)Y=Ym$!q z`U-5HMvrmYIl>yyj-``SR7ra1AtySzBz>3`wTz^bm>v_=X}-LLUONl~nO!ucj$W zAf+Qm+scBWSErf;_VX0R6CMihdm{2gz@~ogFIVFFMzCVI_Mw|?B;c(1}IrlWs7Ta?{){z@e){r&j-r~1wQx%DZ<_pw5u!I zBqzM0*emCl&1kKC_vcl^gWuK^=J)3}Ri_JzT)b+R&%>akG(kE-p=gP|JE!AmCtn3{ z=JaKh1vqZ`rdi}D(al2q_vR8wqt>+@;v_8PDpeag8$%@FPp9`Zn8xKMPqER%gxm@n zHqTg%EJMvLbww8qN7IVq6M?4j=dnC~+QFmb#bY$u#oTo-==AnVB3~=CL3tY>b z1~)e?oVwgtmm)G}L4>N%N5`5zT~a(!HmZ0^YxOL*bx=$IN3l~L-U5Hb7)qz1rU9dk zS+415HqmEcz@Qw(>}8J5Y*+)~j^fiN-JkMyBzUaOEMqUz=C9abqAA`T*fpvT!R4O~ zgnD`N>0BwRy;0Uoy+P z(|8N}?dsd6Hq;bsIJZT`GDJUNQ(c8ukKve`7Vh(2H6f5{gcD0vSji2xkyguw&lyGu z1!7?^HR9n;^4RctOajx(Swr1d-1!jnF@ot#3!zG>0^_#Vu;;Jyidxv-8q5V z+lMPoKS$r^~1;_E%ODW#O-G+ZKdt8)cr zm}Cd7Q^G#o-mPzIW}zD`8Dx<4< zI~|LG92&c=n#}2zP>SZwMdI}&i9o?f0dt@c-FmzN2acxx+)3bo`v2Tx%k@eTu`=;+ zOronFhQl7Kn%AG^C0LB19#EuHrVT{%Qn3teKTdbYl1266L(X@W`kIvHjrHXeVTYOp|I8W47DUG&B^bZ@r%T3p?} zr|_G48LCK}m2SdTU0Otqxc7#O(+w7q24sqPUn#X4y%Y|i+94ve>&C%SWhMv+Zdmqk%qkz+!{zY+gqaak62{8T&TYnX^Y>8G zF*#-!4e}iHEs%vXbL)HEfOtBDrdw~&M2UG^Hbslz2H26izvG^n@y!r!^vg;j3Z6O< zJ3D5UkOm|0rXP`wx<3SmRdYbqKSP)8x?dti?Nl5g8PId3*KwC7IgPPr*39pe(q>tr zHBJwp=wlG991onjW<|djDPU=dYU5phkcO#2b@=xoc?O9P@r``^4D={&7cd;8s zGQwB#8Wb`Nu9C}jCIYEjIEI>b+d{B@Y`m{?d~mm|iV7qW1avw$ydqaXw1gY+xn&2& zIi|AK?D!^EO%WJvCC(h&QICNa43kwkms8MC+2}Q90ud>%e&nKS3^o$R%+?eoZNX&V zv5u|xBmd#)TaGuKR)l7^+KdghD-M=K$qK>j(%(}9n??J>*a5tmw(s?#h8G%*_{NOl z@Mh03Y-fHKgal$Wg~F-)E!@xu@uqNiGnIRC=56j$Q;vpPe!J!^==hB?^e%cD&keLV zmW;ZLHpc^go8WK%PRdHo*=@{p*$dPHd32n<-Y~Vng?CiZTp0q~@O; z#h251m#Oj5{fZHh9Z2mQ#KJ62@nNhlXZHq2N45^X2@-^{6b9r<+jd4XHGzo$wbu-q zH8(F1ST*7c(QO~WSM4Wt9$$@b#&PZE9>gzHoxR8xttrFsN*+-VEKB1f%?yju_tWr3 z{@>0k+e}lK_}8wlZsgi8{BOY>K;+s}3SmpsBdhY19rm_Uux57IM8$w(t+%~$uu|yV zRe=g|0plWPW3T4yUa?J@6M@ZRv~G^{v51!Gj)z!F$bBbHWmF6Um4{uI;vavKwuT^d z&(M^~6D3Lfy+wMeh%S3`^_g8~Qx1?cL51?dd?MMI*~8bFTIgVul?<2k^H+T5+@zsS zGD~wM`EvW0Oj_9uTddoe*8s&+?rm&3;6%c2gW3kXspRz3l!eITCVy{R6P#KwBym-U=^#z!mR2w^B^oLmScF;n!~cZOWw zmas9S7Wqm-d2_(w?3>i6SasoT?JVLc)n4MN_B*6Q9Ilqq)F|Y!YX%@!)#|Htf-cIu zxm?3Cwv@o$Tyx&_DrGeuU4qe|Gztn#cQ0#_oZjlEvJQay3zY<> z97HX0E)M%b@*Ys@#$!(-OTwj{smoZmS-g>_yN_+98N)`zlb$0+zP!}#Qjjh zNy*d8VIf>J`+Xm1eWDRsz|~r^((A(NXD=V_I_)u!VOTlM<+~Luw+7MbKy)T3S!^{% zcGnJ#+WE06&aa_2V6ONYFEtI4T9=S49)L{liHuaIVHXLf6LY}_oC>On2Kel_=)O5J z=DyLtmjjR$Zb!zWroKaj_MqZ*!GvAaDbSLndfbT#=6i_{5~|kjEWGr6HS}UHFX#i+T{$o# zZaTsYD$sG*Go}&@Leo6Ul>}X+qC3|?unsbj9cq?fLBrq>Bvu<rLz2R%#%S{7} zyv<(5eidYdYv7jA*f62{r0;B_X#wY13dd)P()2sCtr*VDXq>Im(LB0*!ji zN4C?InJGR4RzVtF^*dyWiOEijM}zucv+}77oy3pb@#5t2g`1cuIg9(z3VxxVQ`2Ne zpsEq|NtB z4|51E#kpBw(_lepQMyB?THwvAGb{qzx0bJLp>9vY7>moNX2B(kd1z?E(b&}8d+l73 zHOP#LOPwrgO5SGZ+$$7&Lo3;k9eG0a7{g4Mra4eCCmg#uL|!;PSUv+NQJ8!79C6`f zQOtHK@ka5#-IZ=oYNA?ychP?^gR0J}_07CkXj8YQIOwuHSNs+rfZbklf@0zeCo z?e3m|ffntkCpT=Y7&{p!sT>9k8!}^b9rmF1mZV^TmI`=slJ|iN=4QI91?7M*MhRE+ zdnE;gR#fR%WQPeKh+Er%Odk*779Io~Eo;x%%r?Q7-NiBP?T|^~PYMwoDC=w>XYx z3X~IiIzLx$!jYs6Y9dbcHk2CQ*wZ(?P2Q*2a~G;s zD$uL<^T^QL!7+{CYM;`~TF3jjuDj7av(%Rx0*G0&WQlY(cR1htU-dS$umfv*zamI1 zb9=+rE6cjFv)}kEH0_{#qL$o5mV#cmOsj>P?IX9P1Yf&P7xF!G*ERI+4)N;IuQokM zL=W{YjnVQ=LHsF&v?Gsoqt-$j0!!IYevRg;TVyhDZt z8#JI!rZ86~DC12=Vu{r7az(@*t(_KF|4g*xfjnKpXrLj+>bYqnyG@_ zvWhn`#FoYpJ0oe~QT8_9^yj2xePhU1|5!wvdd{pUDBwb4_Y zV-g$z?A_w5$RqMv!zshI8U+2U!~&`neQkMglbmWi2;ymHYrQQRZ#;OxiPxkGP7%S| zH*26Dnj*Z|)rZDHf?- z6zvpKP9@+|f^pY~*Bi{9?SX8>rm>uX3kh9nnWo$=O=>VFv69PL{#itPSml{D_VRt} zaAT?&<~#&L%{0=a;}clQioXM21i+@qJzSPosg@!)dy82ac$UO)m3@?ncTp!!cnVW) z$+ul>nvoGOtTcWlZLqr3Ue_Phv)x%G9AFyO3#karJMMT4P#ajVrLL4H5uj6=^g^o+ z0j)R}@s>}p$+FDH$G<j)Y)bo*;DNafyNtF`M~*EVSgNJe@X7M_q+9Fd9} za>=kJh?I>jD6Z6TVo&Jtk~)lQB;sxuuU6R$mqZdQb})1>2xiKSHouJD3-zU2W-gOj zB~vio_2q=#ITJm-TzK+3bYdtu>#f!DamM}=6wb~YGfKMholKaHrCWppPJ*dT2zNbgQHnfCRJV@l>ww!%MYqw0=(m1fx1a;&iv zta{I|;X|J=CGuvy*c&d#a5=JsDL@RTkkFUu1tCF|ZCrigryWa~@nt=elu}u|ml_ee zw79zM&)A(Wny#04;#-ipiqQ(fMV4@YRM+mZ5nHbzIYxh}vrouX;nIj;ixi4xlb(45 zKIY0p^m4k0Ks-vGTHm&KXPrvE*@ScCmYl_N#lMxck&K@jYWK_^Z&eY(8cdbvsH&RR z*Fk>EM>&ppo3`zEiegYc9iyZLe zPs%pBj6mO35^nvC8&3d-5~-dhKpaN0xQDPX$G!l60mph( zk2B&{nL8Ecm8d$RFFcBuPE&o)?%C&S)6c(-qJ1IB)hH5m*DF7uV}F)e)QC{yr!|p- zaMtt@W@j5;*9wPEXNLbj$Mm0N*6_n^I*v(y`IFSScNg?Qb!HGlZ~IQpSQh`!+ZKrJ1MGLu=D z;CAd+im$^l{NW-(GuZkI2JG;`SX^`PiQ8D@Cmm&Oc2-uxlN>Cs=sC9vMn8R<8ick3 zrE`;SoAy3d&Y0oUakqasEio)Wz*i5$^F-6#l)-1`cP+lwx~gd?&a_X0lwi+&d=SA? zu$}c+NFr@FTDQh7sV4-~H5$~CJ)PKU$6N5=t2Se$&kb_InaU#e|E37N_ zfGbsB$)Cn#UKo?M47*d#M4yc!Tiji*N5C*kv64Nlbb*6xZhV$&#QynM4!FV_iIv;d9%kv?CG6B2}KU~VNy*OAWCi@)JNOPOgPq;8SgI^Ab|st5@hJR>BB zfU9~cDnI4yH>0G$}f6BK@%Esox+)Xt~4FY5UfiI$88Nx;Qp=D4lo5$9e*XR9!{ z!&sJoW^*#vv>V6*p9!!CrF(O)HvXJnyYG2@Zpy1V zTh3`Rw()uWJ&nQ*v5<{w;zgOCV=2m=d0_ie;tH9Y%RMHx3MzJfEPW2Qvo6>Um`(}} z#8ue$S;K1c3)G+t2-hIeJ}7-1bVU#5S&5lxx1qJ0fZ5ppwfc%hKXQ?nc5t{%kvL}^|5)m&RU+s7z%l}%ene~JBBqc#*XoUXTrxMmw zV!%F>D(!GIn0fHxbp*WxW=qeHk}A{P>cV%ierL6-K@w#8`}?F(2Vjhj$YqH|2ET!2 zI#$C;-*L-L;oGL7n6B42$LEHW^e&a7xOK7ndquwH5-8_xv-RmNMP!Vm8)x11BizJm*3hN`|y_OSr*zm194NYYA@l!teZCz^o-i@{j z8ZXQC>E^X4xc88z-zj5FRaRbo5keIg%f)@TbcTH@^?zC(Yn=UbpRD(*{Y!K$cqY_FG=$HrZC6FQh&_3Sw3nPnGCY8C$*P zVK20h3aNwK3lRN)QTws4?Q(|fk6;2N4pvpXnPU2>0b*dqTkU;P1pa-4U^&SRY4e#W z`+LAieKa0pSD>RGF^E@*e&Ql8Q|1aLoE%o_X52F-Eg_d9~fqbmEm8P0JBa-5?8rZNGFzV+mtOJA`Sbksi zYI3r&Z%dOMkT8{sbGo?g@KG~S$pQ6b?(I#D8oZg95n?&GFwTgNXClxZH)n&SnS9a;HCo{yF+BDLt(131r*1NV1P z>mI01J}5(RCe-HX7$f5lVoRST5;x)@(v==5G{2)Y!DumoPmCUEpBw8v#i1Btb$<=p zR<*gNf4+gpl*cf#3|0n*9WP17-s~UAyoDn zhIgIpIj|3*F*bTGoOrTfTrAG}d zW_T&xbS;n#M#+H2WT6W{$2UdQ^4dK6igL4^dSkq*Ve!PAbYb@fy!F$8qjwkbwmev< z`|%H&Zt5kyOx?5FTnWwn%W)Kb72&m+Zr~BO`%n*jAlO*6 z77N-71dH_T*P%>UJws4=d16{YpAgSHc|)xT%3ZHAXCG>F$!!^Vb$DP;VZN^ zwmM^1He~fESwhtcT*|Aci3*J_f~oPGYFJR47wj#mD93){#bwF;$-kT>g~B%GK-EVuli+6=2mYp=AiOo5%nTepc zcV-5)W#74VzD*;wk-`~4bRV)~yWw|<-M$xd8LK?dX|KL=10VD5qv%!%;FtyAuGRO@ zoRB39I%7*21-w=lMg!hVdQNw27cf#6gzWL~<{Lv7CLaVMbrE`P_LR z>wbaG=naQ~hm}4SI3@k7PVaLFRwJ)Q|358PXPB)ptx|-Zx5D6&!|09>l>!;#*>dn~ zg?<_RY$t3QT-)12+?wC~74Q-j{s6mSWvvzIsS!eFzRyn-Fzn6|*;4(~H-=1M7-kqG z9eSSxQp&&(kGxDoCzcWlMJKyom}KrMBBcr@!R_>~W;(Tn+X5IGxF5e_&INQ*56%u1 ziBL^wx3Qa+?@P<(F-FnpFJ5aL`)-Hf-A6#VYoRL6F^-(9gcsGOqL1GcV|sTX9vd9M$xN{I=d&*-#HvG;e-a!3?( z582*2RaCHDF-vjm^#@PgK3W@Rq~3i!J&QtXmL=E7Jd&s7M<;so@1~g43Z41%I2fEZ zrBRW`e#FcC2oY}$?ajPjeoXCoQHyo5RQ9DudTkVGG>5IQ-oA#J@wa*qw1xAu@C;Nq z5EW|LK!e4DIuy>%0>uR0>|{g&R?3z`vkMpwxe4bq2~G6rxMI5d#?5%ZnfAS~J8fMtVTMk40%s2{%%Ui-s5C*1>u8hm8FDK^5jhvO^Km7dQgIELBSEXyAYzHeb77?4l3rKBo-uplDCL11e;)068bp?CUmCB__iXY&DG<2aJiL#wqZ6_A09yP8gm7o>0y4 zR<2DJhBIP2PvMPm`)S45DQt;fW2)*n1uFzuKysi)&K0}!*qbEP{a~^ImaWVfd3a6{ ze8qHkz94Xq#CRWvPyRJbRgu}*Z8BCQWZk3OZ>kJ~ST9-QeDV&|orC6Jrp8`2OA#oE zHJ7v=kx%?^f^3r(R`(N`Ol{*UKb8O_PYOeUr=3tVPK9>;+HrwYIOI<+TG_^^jR8m;-_c{y0wv9w0 z1Qc0HO4sON#S=8727_8}m>REngLJ`cBTLXb$e2-fhjN4Gq(O=CQ z*}HIBA9b$b8jm{aP3$DuXElWgvV~3Qt=sygJj4VB`Qt>yhQ##S>(0hjt%!h9>GGD| z>C>!#yI1|Y1;^u@r)k<0&y1m?b#pRrrhB)e`;`xi9# zhR>_+6pOm11b?ge_Xhu?Addj>;WyHZvfu4pflQn7Lo*d&=f{rL8-1M`~2hcTYJ~Z7nvX+hWHQORfoCT zU()99px@MSij5gqbeAfBasQcpRTA~@O)|w}6KMcIX>%xW z@K3Gt2b74snV7i13f0TL25N=jT?6q_`AS_g*mL6;ICDx~$5ORw6yWQOut)!#( z%IVnUXKqJp&?_h{s5+mBZDC@B1cE=ve-HW3|f<(ohA#N8DTb=Xru( zq#th`-(GeQ{!pUZsH`mf;?dIrG1L9!i=WW0DT`QtNJY%!ef0`^M$)q;Vo8&_NwG^Z zbFsX3!x&)_jl>YuB6a!R&Pis63e=rb7Xn6=F*z)~!zldfGFD;p<-XU62LifxC5-bt zjf`-oK_$3e{F7{u<2o$t?TY+Z!ZPmlHpSP}6@JIYMKAw%x^0RD{tJ(Rn7`kb^weI5 zhmiggtm=lAsS#Z>-Y*uTokb}bD-CY5VjsP3ObV8cwKyEpFR;Fy-CK(ta>QC=oR{U# zU90@jomUUZTCRg^xMBM+L^*xrdSxu~HQ4Gpp%>H@xlnfNYO#}XYadb>RGItdvnI4> z_(RLe@}v<)bT~Ioe}X@uRoS1`>#8rvsgG9j$3}yQeNZ6rV3blT0Ame4Wb-up-J7!@ z%R4ZdFF1vv;Jc=7iJ8qgIP1S4$5tYLBKfUCZ#2xpf`sM`=6^TRkGEvIoNp6^&}!izBsfSx1qj+Bn;_&uu5J>@EnJI1z3 z+QY6p9rGERLSZX(h6V&0K7Y+|WcJ1vx0n23@S_ltsvz2T{Ap3V6iO&-QO&Xv)WXD1 zHS0e48^46OOYQNl&7nI3b;j`bL!!RJedT)67+~Y8Y#~Vlw;$T|S>tapCTYZVz!*M$ zIDFw52(l@EeoI**6^>PpKhni?{?^i9_QJIs#JH_09K&(ZKR_3lqiX1q#GG~eGKI)d z$*xWhXIU9#$PQMaGT@v#*ONQk@6Eqs>z)&^Ve4f4iG3L_D!x9*suRGG96!sdhjRzX9+uW!|51l$uoT``r$=VmKE+U zyEbao?@&=Fk#9>zd5p`t1#TUulEZF`o-}7{g`?+pN@HhR2J8v19vtv}`A4gSm5l@PX_>>{qkAvbbc$?TWoyf3(y%m*cSH$Pb(K9eUwbwo=-8D%>Nuwl7$xHb%Shd3 zKNZLvHLgGjy!7~jcxgnwc(eJZOayRjQCbCVE>`gV_c@p26BbPsOdcHh&%%4pAk%?EHXsvYa!uyHR6 ziQRYXapmP61)~29KmXhE>y!t>H#e)10Rad*7`l9a$84HnJ~gwhKeBDIR=D9!h!U~QjJlRXyNLl}Gk44e9=Z3LTJFRgd_2aMH0h$kVy%ZPuitjAZ)Ltrq zv>~-;>Y()R3faA9`x=A8SaF}Tt0pw#OH_C-wPp98gt`A_*k#io7QENKqborffjkenRi=Ao&=y25F`Vq&Oj?uIk|9#+d8Mr|ID&R8nZC0$5l9 zv0Tn;AMuyI#S+K9y(|I1#yFNJ&c2Rz<@N?Q_ldJfW zjW;L*STQ`e8)FQXNRoRaY)J4i3p)2c_=_Lft{l7Q#Vfcum>$7`R2kr8cUWe@N~y^I zfC+m#Mw~$3na&i6j5;L5Jq;y+E!n+(#Xio-{~WX1yR_g>5<_Efdwcl4j9+jRUElOk z#g$CSg2Ik^#|9f)?gLT{^vcB$4#AFMD^L!(rnJzxmiM3YnaR&0 zT>9n1TP_?|7Xq82gg)rF2{#D{hZ_M2!ZW3@cX-Vxgux_V+w0hB_s^>PY!qwSBT zS2s-?jE-&Mp7UK*P|ZJ3pH6geQry}Iv3Kk-3=LWh<70$$UaL>z32Z5DLuES!H6#AU z_Gj<}Ej$#QEfmW--E>S*0{?7XY*g~Ho5kU2M$w$ZTsW3~*uu+#YQLz2Gkuo~nb2*F zRelE>%_3sTI{cosO$jw1zq|zNY_VU^Okyr|>v$nx)ySwhXxEsnLb z%wXgL8&=H(3I1ZKvnbQ$kJ*|&7}8r^?}042aAJ{->S z7{%hH{)b%R1IMlA$*8od4EZDi5B8nW@Z!1`3cJpv@u9efK#iIVGKkgwGbD&

    Yt}GwX4LoEyJ~C z<+{v}AqX(>q@AO#2T5ApYyEGuwpG7BrhnfhSPH zQzbFSl#+q^A!qRdVbx6Q@pN=zmu9F7XsYn`=CJznOX82>ldzjw?S9YR67#R^LDDdz zzYW>+OFgs0?*-bldA)(!Owzm8AQNhn{h**V!tU#Eg%!d8J8=q8oR<4)Buec+QN3+= zuw*g~W3^&E$Z6}0s>RECyr>AkowX9(N)pqFVQlkHd>~9$zMR$~V#+R3pPSD1A7`dN z%l6y@8#1KEiATF&zYq6MR!vn?M_>l6j_SX&94$H_M?S)fmoNO9c;WpJ!m&D)WQXFv zVG|ocQg%G&0g_313s+^|KZU*M{I8gMa)MSw|7*dQE%`ORG|oD1h{jnZ9nfr9TI3f1 zw4+sQF#0Vn_@F28K@9LhnT|W(Ik-6ZSn=Hx?a!@aK$02`;-M@HSjAXoIw%%nB7jT( zlS&5A+dAw8)_ryRRv6t5nOM8iYpbyqMwT>uajNneR75La+uhxIXH~m$AwK`T}3)OoN3H8+64l$EDyySOEi>>PR#JN}2> z21B#sEP>899=~ns{#{f;TGzLA;4hUk?w`VYU_N4dp0nQI22HwMhS{IJ0XBdW)Jh(Z zn!C*H=P5q}1B23x_DZ$<0>K&E?dthfcta&``5&Ogr;gJJPDOU8pRS;O)u$NApQ^l4 zSUa~rC_5HF{R2p;)HeTqqGmdOVD~hEudz@ zX}@ccbh9d^$p)>pHno4l{^#17Von8XT0A4_{^)S~Dt+)nn%@Auh9%Bc$Pmz^1(frL znkhL6hs#0<>N4Yl`MpenN#O+}-EasE@GVAKXD9u1ndoE5*pss=l-H@_v;5Tmf}}Rb zbztK!b$o(nT|Qi|BDI<@s>`uV%>=a>JWvob33o3ipb954fnqi7=tIOejMA7%WwsHo z(JE!OyM+OmJm7(IMe(!bS=I5aO2-%YHx~*f@`mrZ8lQ$vTJeSK3ZRjrYmy95k7<6> z`3w7+89N7o!tYbd$7^32s+Q{3el3gfUEX%oWZW=}%2~+Oc|1mR5Vpl{RDXmjI9|1l zN{`4+5eju@*pQSn?c&^q?1elZu7}^WrzE`qYgR%6TgUoV<3n72z?f{7YG31qH?O$yO|9FE#fWl11&_&U#_ADcoh$6KqP`Bi#d(|3Y)5vlXEs*LSnb(XQp zw0QmQBgPW7Vs136*}7}~wWDN}gXMs}5kQviUj5tj11rqb1J5_Bf@E@r&>FiRcG9lBc%M7g{zk_s%G=NRmPX3$Kb7BhRE|#g;@@79 z8!!r=u-yI3{jPWdI}RVFSq=fV7*0+NP6Q=c!2b%n2gp$lDST{k`&bgx-0-(JrMA<% z!K{4{DdNND7L?#;D^L}kPsrSd#nRV$xjr^ zGlqU-%}3vDq10)2VAKX)ED3Uex8V-@MqlGtmSt07v)v{l3gc$ z@;NaGk)`ub`?t7XKc|eKe`PsJZ#k$bGe*^vwwI=+*m=P*w;{So;Cz9(m)+0rQuNqS zS1>~|ZfVQxa^aWp(t0!QmVD^>hQPYhkZ$fTS$#SmWXuAmnFMDRq7(oDj`%p%FBj79Ar1ZfI+V75j#{F2kC69o zh;Vx83!y5+)q|}Bu*ylN~s^SGsinF?;~mt&{s=&gu@O z=B0VDiYl}gtt?XM>YfSJaU^$w6J=R)OIvANv}9EUbp5Jt@cScPebCTz*%2wiwrBCJ zW^SA(w89!;_r5V+qv5-L1ZNR*DESBjzcvCO&%f^AP|lJ!HA6pnBS@WvS$-Dz5f65p zPzI0aK)oYH#!Y*bLU6h@9yL#k6!#YKF?_sOmCu+;E~-@|{Ap^)SyJzvnJ6#Nd-nZc z<7MhSZEOG6-g|&ml`QSTqLL92MMaVbl2uR<5Rsg7&N=6tH#u%H zY}n+Wh$0ve6;aV!3v@;&eP_=7&VSGIKT|R*^y=<seBXB1YZwb99?}3-$aOVYDEpzss^`)-8v#o-@oM zSah;O+}A`^PLfsZl_PH|Y*DL6rahIHv}FmNaUD!;D}9MgG}VzZu6H)TYn@tTsbLdv zJ87?WpsghJfLG7`x4v}z*?Z~fbzW%ux_p(|du8pCOq}_teRt>&p{*S6lu@-j*AR8A zUz1vXtLung`)E|7G~j|~TAg*vDVv*fTAj(y9%>Oxqx&tW$`2`uUmQuEJVL)XH2uk- z?$QvskI5g$)?6FNM z4g;N9ZvkIDvp7{>HqnxzO1X2M{d`G-8apnhpbKu^5WhaA?nCP_?u`{)o`S(AZ_QUJ zFU!)#Gi;z_Q|~TbG_0NTrur;eEvUZI`R)N3H?M!9gXYtOutetvYrDxe#avA)#?5=k zUQ}#MXuLG?wRoLvzI2?%BDtU;;c*j(1j{k^ignh;rj=bLdkgpW+uJeNhaItMup(NP z@Dh9Dr2anHjt^5IV>{VUs~#O+*w60vQ0gAn(SSjN>mg4U?in$sFGSm1=&{7B-+xSz zccNsXO5UxEf;M+uCB3J5%^+evu-G{))PmE#Hpb$^ny~c6nx_d~#m$Z8T|uX1Q@Cq~Tx3hKkY(On#687usibCgc*@diPO&!li{b1XWWCVs#U{qVDw+hE|(a8C2^>Rr2*Q;=9wm7v7K8&#x_Dz^D>ZrJ62p6B}>z z@(q`&@m!hYSMHU#@}Zn$`xkAdq5_`sPn#Ze4L^Nt7$SE2z(&~2`++Z)$PyP0IXkat zJ~=f%x+Xzd+lH1=7}h!&Drl`t=Uc|YOL?NyeZI42xPnDDuVw#B!TF7Zi6Qpq$BYP! z25m>2%{

    slUmp- z?^pV?Ko3&1J zUw|vQ#gtmBUGYRQ)ydq$;z)+kE4;N54iaVDcjt%BA|y6+1ID2!zoys1B$8yq!#Tz8 zyhU31^MW4Ura*KuXG-z4B&!r0N8cVitO@;)^F_DuUme>EJ*qCJ=PzM=%uTVRS!;~n zn$z+*zn@-T*204qua-K6^{%$bNDys_ubj*-eS|XENKy;I&OW{|xCFm6cfaZi$to0d zp>%59-f+n7R*N1-+m~cd?c>e;(PH?eBF*=Ap06d{#>g{VyT*f5n4IB zM(l46qC>qj=q?Prh3yOdWm)AE?FxC45)oo7K@m^di>9AIhinsUr0sy4g($5aHRyLF zRMtRQx=rb()lRB6laPqO@vk%avl~{?c<&FU`cqZw8(7Y64Bv*+m6fu&O^ahb)!S}&IZrv z`<0A8L61?9L8svOg8)fyde+Q+Ke$>vVSgEijoJs90(k2lh$!G9{BKU8#KpOhg(qPO zQg%2bdj+|y+Y0YTtT0f`Ydq%;f+Q$YB=LNk=~l|I9!_DxZ*c>(=jbAL^ZpA)1U8dk zqwvtz7otYb(~r8=`G#TM#M`Z^6+CGYxNx2NaLYv`1SH<4E{az?LgG5GU$@Tx$@tS` zr!ftwc=f0PHSLu@z*2pzmVIk3;j!Srw+=L{<7anRcUI&O+7{cr7A%-$dpCkb6XsQQ zsS>!YX|e6&7AfN+>w5n4Wq9B9`=AoIV2bq06$9y2=b3&f82iNI*uRGAUR<*4`x6#~`@{!f5?J^q zE?HkcTx`uB0i}*1)IS({RMfZ;iUl)*c)c)JTV8um+WXcGgMLEb>VsG?mky9U-e~is zC~k>PjaAtMH&w`b4PZLAWxP}bkPe3EPx*&gAZ3Gb)M^c1rKaFpB3L@FUwQ(st8?PH z7=}DHWI~Gst9_&FI{dAPF|3Z~*%tehmn}Dn2OyfJcaeIe&lB%dsN*D?ZWRUw@=4Yz z&IBQV=soNI8K6cEy$N_}`g}I~8J=9O-232a+~xQYF}ip>d$sWW8xvO_2p50{qp`Jm z=$%Et)r3L{iG#o3Cx#NWeRlo+Sqh+jH9cEUa{wtA^<;DnoB*?sYKvlSXA!UqNN_VViq17or921d1zB;l24B zW^7m#sPH{$EMwiieg7h2YOcjtO28zsG;N5@XG24cV(Ivw0*ENo1s_SV+VF{W(NWg0xV`nsc;lzqY>?HzPVkt~qU zchb<>_s#}!ZBi5tP3MtYoD-UqFX_!p7-s&R=_qPzW~*Qmg#r1gsQ+JkZvhtd*6oi| zDk2>!A`$`uA|XgAjR+_RBA_Uu2&jaD0)n7)cXxMpGjziYGsMuThy{XJh{A6T=sD`~ zoO9p%-uu7r^MB4_o?&KxcYOBRYp=axqtEfo@K*c*A!&i3vN7upft-sKO!b3OuLMq7`z0M8tr0qAv2MDzqtcJKNBxSt z^FqXMyDx)ozZr^Yg6NR69r=M(P~L9VqQXWC+nE&EyMNQwt=_L@>G799!s{q?H`})sG*{|ut+b7xOipX;K7?Ar|#OV z@sx^IXCppYa@1!ktdG#!sTj*l)|$sZvF=sW>b9!pc09dzG-C49-HM%SGATRj;nqTWH0Z9rO!YFcA5TO=f>#>e?YC?X+r!yhlgJ+#AE2Hvm@^#h4b&BNJ`=4Jo8|fz-`Bi!*J|-Q1Ek8fHoT$mEjCb=%_Qj7{y# zCHS=-2|r+=6=3B_x@f#ya6Oz)e=0S3rxN=fs$flm3i>)~iKrXz8m)XaKlf9W+)tcb z|L9#wgOMvE3A#zaEwxhCZT+F-#yPEHB09a7Fi(9KRoW-4h+n)?>|@Lu4sll6EB@g0 zvMZwl-kn*;!+S_8!X%Cwu8!N*mqzeLO$wY0K@oPpQ5b!G=U(l}xY!xJc)VMl&l?&> z%1SK}w!T`_B)1=wvU%=|oNHa6)|#LlNGUrPkod-AaKN)gHe;z_J7sS2{>mpeW9FU8 znpGp^D&BmSX5Ev@h-AS}m7MXsAmkL3F&B86h> z-tlpvPXvbA=qrL?&3?GDE$`sDN6JY$uIaI zyXRR?33|129wcrXNq*s85SJ3%l*8V`^vo-kd;J>Y!1k;gE#1#iw~xqK(wU|nq;gp0 zEZA6l%=Mn3yG@QM9h=X6-FY>{w7u%)&`5JseIVug2khZm3?+^_gW?vvnPdCgYnP+n zvET2wTOjRLwHV{6dxRzQvS7_R1I=mub=%g&ILvu>gSu55Z1Fd)3PMxi>+i14Um_JsOaN~yj9(~RmK8{rcbNa?shK*_t#Egk5 zwF1}A3*Ne?T-jN{+7W}!CdYmRnujNc(pp z#zj>LGmgeZ*$nP0+PO0a)=jgiG00+pLv(V@FMa=wTbg&aPsYZ z#7v-j*T;;;9RZ_UH2CpTVmqpDYY2{%y7|u@u#`E%H(KPoAkld}u9~4>n$=}AgXr0; zwH2Oce3jt9%hB+)J*mbK_@NB&*HafAgQdq?O?1<9#xU)fhdt`Faz0q93Mvtz%(}ah zdX)PwAHrZ6j?{HVT?|vy|8UALc9{E`%Lv)j{8j#N6${fy)=F9G-YNsv?5V{lwJNPplZx$HgEcG2BKA4}HK zuJgt*Z^#n{e;P84csl-i$>891ql*=$pWojPby#dPG|hUa`?@w?@n%6ViAMSOXPQoD z(cWrsM|q^6MEVOlX;`c1D+8SJ_ol_IQ|*xrYv;?7ERXBb)16{}I7{B1^CCh!0{fa_ zPnww(EB@#5m!5t6_CqY?P7L>M7b84;Kd@XBzKwns6;^X1CF>liBE#`utHUJ)uPNg$ zjLc9?KnVZHvE!46k}SkTl-+$E;&t>)@DvPTug_Lu%_puL;$hA-mc4seq(4X7u!LqW z<1Qn0Qr&Dia!PvHNaeLo{|iz1@_Bha6U?%LO6T+q^bXOIs0cREzwM%H>XDY_@Dmkn zbEet#CABPfeI}~lS%b`^*+AK=XG{AhD96+uv}F?O1a@OJw8``WXs!4h8GQA_)`X)9 z?>V(OZnKZNbu_r@?zEaALu}xhas-Q;=dsxUuV~wS=5tq^3WYc>^5qR)sMgPGt82va zj6V`ps_9*MBc{biw$z;_(t6KMUgAC8{E>5y6(qFOhfUv(8J-lFaFJt>%Q^APLGi{> z{=_G=?dGqy_X=2wVQpAb-p-D66l^?-t`S%@KF1$$OLh0i;zYom_2~}6deS3Vqm9-% zrWv^p1vgmi4s^Zkx~Y<;z>j=$#4jrd|Gxe$Z#{2oVsD(5d;RX+yvKTRy(f|cU)}S1 zv-s?`VIE#<5SsGCM}}JIdcFoTO0Au9j=nXHidmWj76${*pQr31xHCsw6o}VZb`E`# zb;5~S8r4AKDW)*`?)GhoLI(vSD$mTf*UUQoUM^M&oY67%WNh0Q5L`Rsj9&Jn6SgBg z;FlFdCbEn8h~YLFmOSAbU0i!|5|(>HE_V|7*i=gR4O}3yqsf`Smq$&nYAZ0>L}*$~ z;=J$3G^epgPqbR(hoWqbWz^dZZc@H`s$3o?dQivL85^o@XKTNoaX|-|)LA)kIXY+W z@ds)cFXd z0XDZg0+*9S-y_vx>c6B*kEG0qmwn(l6ZzcMfwm8?wOFz3*^FDTR#VN`2PT>I9h%0M zE5+P+(~SLFe0EOkSUO7{O5re5u5j~V5}};kQMusKI>P}`Z5!>;2zn%x^xM}`kLjvaGa-KK3al6ffe)#(XWbqz{4S*d4h?lKo`REBdj{VQ1t4;$h8)lr%3AJrQJ;aq4NO`j^_GY33=5`F?-eUbyho7xktTwn;CVphfJn9>u-a<NONGJ;$-^b*=B8uSA#`11jmT9 znboo7!;0_mt(?NoC9?+~u}{r0NNhD+Cn4}TLsN6SNqCu$Uw^}#MV@uqqVc|nsq%q* zvQ@d41RZhZJKiV-(>=o&?hrTQRh{Q_Od&8J;OGsy>k_Xn#@Kf{ZSULCD@4V9NeeF5 zL-5O^l3Ly{3h=MT5*_;NhpMv}Se;LoY?i50TxqD9mFaLebL`+3gi5f_Zt-!vq*k+R z*S+_P-^f&a*ghS9xSYW_C&du`xt@)+iRh_aeWkj`89&;})GK{6?jbvovtmo+g^Lg| zNzz?%WXGe^>vtDiN4rP8xX1A%h}Fh+{~0{ij+b$7AJA7x)^PhQor;+ku&r6;*AJ{5 ze){&+9J_x6kh3Vp1H#N>bx|cU(b#8b>sx-v-ICuxSZNIH&$Xrm&qRbRw3!V zdKN>x&|r$QTk5mZ7#k^OHYuwbsyj344Lo7*<=hLgQ)7)0*O^D7RLKWRQqo%qug^N3 z77;f}SvPt8fFw<R$*2Ebhh zguqcPj%sjJU0q!TR9RVBQBhG|US9Sc!Pkn4%F3$h>Y7?aU44B+V^ec;OKWReTYGzZ z2aY;_qs^}!P~Owk+1}dH)L37KfDxc`T+g_EOG`_Ni;D^i3-a^x^EL@SNk;8S5;P&mz5L)fV|w?+?<^3tjvtGl;p(txR_`h#l*(NCnP2% zB_}5(B_)1O2?_CWaj~(u=SivQS-FM9fB-tIC@U$<%gM^h$}K3ZZfHaH4ULYEkBtoV zqmf-WUUYQzpfLT|;gQj?vC(1d00!0F;r!sPnTg453o9F28_U~9SG3htRn@h0jqcbu zy109Kd;55MdwF`eyL)(g`}zlkgoQ^$Ms322j*1Kq3k?Yg2@MVVN}JDOtt>glWHx9{JrEWMha9mn=|G*%U5CPoH& z&6EY*Id|sbUC*%C*btX%#~H~f*_CX<@>{TTEBGY44+_ei(=)zn>)_(E`O@;S&%X79JiJ5)|O)>*MX|?&{?5@S%f~iyIDhU@#7MR7`wQYDQ*eMk+8gB|WF0 zxVRuQKG@yf%FZ*U6#bH57bP_%=?;R`#mB=v^+icRPWo~jBw@~eEBiQDsn-T;i;K$& zV~l6{^?PZAl~v^hnCQ7Qe5)6!IK>s!FI>HO&%w>h%gxS6RrC<^K>@|GI@L#{ulp}P`M zH~9{qkYHnV<<;z9OF^XLIS#x!*MqVq-m%$5MFn|z1x5MkQJy!Y>E|M7q9`3Ro5$An zNScS1_Ae2UQc_Y-&>lD}A}uc?%C(1RX@T&-$=hCG(GdY|R)&|f&Z{d+3a~RDb$DWDgxF z8Pf?(ef=xCSFY%2s3@P3ImWSwKJxZ;(q?&_om4xI|F-aet!k=#Tq~+J`WACFMOy2~0NJ&qhR%+6l#Dbl zQp}8e(=x+tE@&I*9eZ)-O`@vgi=)aSR0}T&iAEwr2~AQSYUkFD(&6c?A% zHa62!k(D~mx1adKi@Dj+_6(B+BbLB8or3Y@wQZDpXo)|6-a$$@Sy?i;orzCGOkDhg zw5&Mm#~cgIyWy4Ck<>L!pDcr-=6IeZtA;j2VYKa4_p-_7lVc1lRHMNr{*6!PT4U|? z^)4&yM(EJ?*&hs!xx>bAF{bnBGjtV((Ihm=%Q>d=2{u16y}lv0VBxT~k*=Du6zhv% zB{k9cUz0s{iw#Fi5J`UFpy4X+~*xldVeX{ z?=0Dy3VU{0ngwk`>agTzz4@hs&!56IZgNs$a&9JqhM2skWHdx$m5H90dC6Y1H?*a^ zA2=2+7ESIOB!$NFoFF116S{gsmX+VYGdMgZ+WVe+^$Nk$@|ci^l#?$GvF==WyI0xP z!|AT2lQ|_B!8U^3SC5E=bGbJyKF!l%S9suN|1hkqDdXx&fIis`HO`=TqscQ2s1-9C zVlugnuqH%d>nB=<-E@o`94yQn?0iRgSoSe6(eIe547PKI`(NGcTHFiS}?D5jv&DJ906tK01V1GpjgMZQ{$I>;wOpjH0ThzE?zK zc|6iR2WZDH z3DYKWC%2r&58TPX<4r(1AI0R8A4;HO@9uPzEss^*Ev=@tclrYn3B_KvqbH;#jt!UM?$je3Zfb>8_lE;u(*J zcwczit1dCx1*Em33xYBxKEECrnteQk>Yscv_i}mVBmQ<`5=y$gto(cwwJN2)pI7!> z5?rSiW6JIc5M7y|F1+!H-hZk&H1nuy9%hkX7u9ZtgGWSVznRL1Fh9xXYEtH1^GKR5=g>|o)+g0v80JVs z2d1wFGq*H1`TYIL{Nv|uzu<2prP#HDgo28Wg@>0{Tv2LYzsJ#!B(_zE5Ql)^dunPY z`H$!S1>JQ<$KedaLWG4Xu1tSX!Gd=kZVyc6JA|m3#0uoxr zwoXpYE-uba4=k*0OpT0nkDR~nr>4otYX*qDfr;6PtE4KH&Y2@do1 z4ULSB3G(o9zbGLoa`LjYfJ2hsbxZ$nw~e9ffs+btgF8tG3JM#T#KjdYe8NK9ZCwJ~ zZ<+gqg@!_};Su2>VWGjn!2$jOfiP7#$D`xoW1}O(Ljt{BT;258ScK@Gk)E}(vb1w_ zvNP0k2#HV4%FEBo&d$lo1nUTl(8Rdd$gqgepwIv(XUkhw0m++XNy$ms86k1yiFz7= z88JbAHzdWk`4%q~VFh^_&TTi4-H_0-_Vx=13-$L44)6-iD#*jQkqdUA+D*_^>sl8iA}D8!}vu`9<6Jr zg;FK`tL|a`!HMZ7_@j%XI)ZaPF_iMMOj5zSz{--I^bb7H*I<}IESXJ z7|g-kw8WHH|M2X#hVs(dhUTvRq5i(!UQ|;XcIf5W36O6BDYHsc5>FGhCG2pLscXxN<{H9i%3)j-z(%jhC)KFVdl$)Ly1NMG!aCmf1 zPj{?aY*~FSsT&DS3b;)Dg9C%u!NERE ze;>}70*GB*UG0FX5m8l=mzkOv9}WISY+`yHrp)a@N_$Ty3LKiAfuVtZ@UyzRaJ+4( z2i77Gm1U)QStZqtC=BxPXiq10dKfwUWc2a-S1;dA_Y6IMzwz-2ctqp#3v{JRN!PV;41+}X4ULS9f&+$uy4@YEEx@BDSh(7XvclpvOyBV6)WXX*OUtW^ zQwyJ0K5hH_{LMl;YISXSVFIQ-{B(X8+ux1Cj`Y;#$HnG%ppn?2{-Gg2Fp6{G#wVsG z#{m)0Fc#cP^yWG=fh1N}mV;wi2)=1$4Wg|FJ6`8&9Mw16-9IuuK0ewHoCTI5d%D0U zY;9?40Up&sKr9K0Tg>(I=*-`fD49vC|`n zspm~?Xbids(+8uDH`Wi2j|>fs47AoZR#jt0$0i5R;}fHkW20juqu_1Abin~0ffd67 zhX%j_??rWWcH)8*tu5{C-90_%zCrBp*vQkVuFkTo((1vP(dp@lagZU9IwT6+(}V1S zTHx9DPmW6978>0Lc!ov?v7_VDqk~PQn3>VB zfj;c;AUuE#jYgwj22icHe*oEtXo97#D$OsftgEjoDXOflN-_!R=|=-0`v*ZvN6>93 z5Y++90IFvQ-8DEiJTx}gJ2p2pIXOBG%mLvXg|))HMn{H+fk%T_*ga?rY#PCXBboF-Ex3#7w)HF3VwW2{)!1|(5z)jF*J-w*Ll7g}- zkf!?Vgp87k;=KIQvaIlghVE_<{{BHMb^r^r?M4BZUSxM?4;s~nuBjWI7#y3KnVFoP znVK5INi~i@iZ%fafkFbg0QTeN4JxJ+wh(B^mS%`Wbs)Q7)ZudPr1skE{MuGnh+dGN z?(VM6?oN>Fo}Ly&V@nr&FUu}01-)IEl#o)?fk7erfFu0_Loiq15f)~F>TGH3Lbf9j zX?5dM<5ROUvon+9lT(uuBV(}Ha2srM-;WFpU|{2boc6+Eb>jkE5b0`wW3HjGxv8b4 zwX+S~o|074SzlV-jOsydvJZk}?VauIogHoP>goh7-d&pmo=SCfR(MQEa!+q33iKAJ z2%HWc08s#$L-n-PHzQFUg?ZiRUYr7)c=Gu1^w`+f-3}s+TRNONfM^#QW`yiP!X|5K zZiKTF0cU4zRZUHGc@?6%At|h(s|B`SBXW3b5@d4oFayO1KP}A=&ueIIYHchpt3_0o z$3~aNMYVKyfjq(n1A@J=6-9&Yn`_$odYjsjb)6$1PMwX-n2E>Z!?4YOGn>4@5iaTm z%M0=VYXv7%E1b3Uz@A!AkVVCX#RXYKkqHAm9jI1Rdwbv5-1Io63)$Av3i1R&N~l@a zP*MR}tD&Z>n8bg)}uWxh2jcaE1&I4S*KHtpn(})(+rMLqlU-ErbHg3JY>`vJ+Cn<1xtgzD`)p zmX?9>xyQp8IO<_ZAy`@q7C>1}PCXQZd5 zN5}ZzFC6Ubgp;nb8PPfPS~Cf7DBW!DKRxaub`}?0@2#nU0&SWgA4v{ z#$s_V*rqtO4&5VRlYyL~(ftDhqvJz;lQZ4T-Ti=U5V$f5tbvmf-k<;n2#v$j+1Anm z)2^;6DS$sgN{NjPiwX@7(egl!_II{+v^2IMv16zvFzZ0P%1Xe3&4AEeWMoW2Mp0RL zGiCq-2V7@IOLqsN0VJ%Yu^A%8tswiG=1qHBM@JV5GcbVd$3A=ivVUN_w+p9z;RTAe z4{(9r0j#jdxK-}y!JSIYAUmMnit@8llA=OGy#oV%BWxwF#P*GVq&I^4?yD`Xh2_M> zVYAayk|2@`Hn?wm6Q&PN-jR`s@eyPzx}~HVXO}<#9E^cxXo)kMYT$gVYi#Z6!i>$m z!+SsZc&@Vvw_UqYu&y|52Py}5P#|F+Losf(THzR~1DPnu&&f!MiwyGf^zd@?3(%f< z9RMS%3f?rp57uc@pof*R>b@v#wMp?=`&c$baNJ$o`cipEY&AUnH?b70A9;Pe0~ zEH5iA*^G+kg5_RRTGNUgf3f)H)BER3FFO&iKbsnGx~>`Qm==h=gFS;Mea7Yf6LBJU@1XY#5%(`08IyDe~hQ-QGO^y!@2Rx20E>5m)3Ag05QXKfw?_41y))~5#$oGb0L$Ei*u$jGSbsBGIR3sAfW)-2B-jhhwSv!g!q`S z5I-L`Czrdfp4S7+LnZ1ODvGi*B0^IN3Ul*d#))A6$A*OldO>j8$;v%Az6yhBZb7$} zm)Cb7@^fK#ZeKzmq5a93UADdTFSzB9OS`LR%PfJa4K|Xk15LiyY{lvvY zMMZ+e40(mbq}0?D_(@NNWk`sPiH-;h_Ve*`b#gYlZ(|;C+|r<_I5*ADJvbSroRAb3 z9UB=H85$Po=j-A0(9z!Vp2eexs;2C;s>*`=-2B{BsFV;F9T^rJ6toq9_ku98hljgg zL`+gvR%&8qMSW9kMM-)h_;GR35fPCfh#^6N{ysk5KE8f_;HU;|rWV3Op*%PsAkg2> z*W1g()zQkr;__V=@~NPTa{Buv^3Svs;Zn;R#sFvDI+a)LPFw%l$^q8C{s~6qpGHC=kxa?&RxPKZNgX*n7BQ>T;^<>lpNPs+>4Dx6X{qpl<;CnkMz z*Wd|9vrF0v3IP4gDMfi{Iaw)5X;~S$Q?imW?97ZzYyy%>=Pzn&YHO-0%E?HI3JMB~ ziHnJf3JVE9fRXRWVICfC&O?W|4|78-PVktBsF;|Pl8Ta&ii)z*DFqcRHEEIK@~5Q5 zMFsiz`Ht}M9_BgBafqAy@R1|@f&%>fM|k;QJE4vu!DJbdaXsD>DX(&l|67SprJ>wB@H3v=0kBmW=6^aNx{kT(v6WMkRwYh@=O*A1@=$pz>_6{ zJ^b<)E#18RLKD)`(lWB(Y)Z*2sRWAxeu~S>i!zfTmz$m(9pnpH)X>=U+}ymPvSNr8 zX6NQ)WEPd@=OUWpZ`?~R2y?K%ry;a=J~zy$jKrhdC5!>jJvS~oSe%q-WqyT_=<|oq z5M8ICCi&E#;dal)#Xli8BgEY+IKc7p(VY_omb@opigw$c<#MJhW&%F5fWvRbBH73YO4|0Cu+^lSe z4(_986P6O^W+3}KToLbMXL0)?Kk=~Nm-Kz-yvt|SzPui5$?$jc4oN~lz?_x!ATu4| zOmk6sT&S;=$P52RA*qO6S2HKJ(;wtKa^kGcc_pQD+FIw&pHn%ldPbIS_k8FMfqlN^ zJ(DYh3+PO zlK4e)iXBJGovO2kJhLk6TRTx;@y$M7UVk^3X}L$+Nil0~7mN5M$AF0F?9>6qukAGWM=))$<@;r&R`!8C+k~RFI~KN>587tSy?fmqdaW;L2*!160dY6xf)+m zQ&Nx)RmRfxlbTCpk6L(NO1-k&TO+(*s+(`zAN6eWH`%g57Q@9HRJ$ zOm;H4eT}zi8`FeMPIg=umrGvTIKiPyp0ODPh~agr0~|bp$ED>I)pZSxAS9<>vIz+Du=T(&zPs&J$9y#dV)WJEh?4~Z*lUA<*--`ez&!m+~~Y;2sus%EafejW~%mJi(^{}2=$ zk&vF9m6{M839))V52pu~W(F5dON$;o!p+GEN}G{lW4gN;IlrBOM~I(|p6&pjjM6D- z80MCZy|tO~Z5u~O)O!U+#KcC01zo>--ROqV)r%Ucsv4J!%x#>!qY60B(+Crl%%?%>s88 z;1U4b2*BN}@b>fbbTqlBu4!oN>h|!u(s3zGOLrd+``aegu71J6fq@}W@yRL4NeQtL zfgX0IUBmM$U-0nOKYjf88J}p!P7+cIT6#vty`-zd^(7S@GoQBaBHac0e#bV#bZk~|?UCWbpG zWMrgHi12eV((c+0hXDm0Jsh8G9Kd%@c2;I4CKgsUc6PRdu)_}?WMQP;v4k#(3kiwK zt$~|FO_g~m;IxE=1P29&$EM|%*CMKlGGYQeoSi*`VlxX%OA4~n;O>OEYXT!(p&3Ih}g2}vm#IfYY-r{tx@1&?sB9AG@a!p6zN z57x(V3CV9Haa>GT=qNuQFApaxJ=w-gOKxmvczh1z6Wbcfvf@H~y?lbAGs@eCpS@eh z$NRW2)z{uw-`q7YKKo>9u%j|FCO9A{GPwZJH8?RdIn-U7pOTPV&@#17wvUY)?3!c8 zghjGD67J&LDTR}A(h_3AM|ru~ znf6ldSbdDF%!m#K8A#48uW##yhy(b}gF_<_n}*=@=n%wTh9~A;ui_JJBf@__k8LT- zN={78t7^rJPEHOZ>kE@3L&Fn`yXNpI7&wj`6*>mCm6$kgon%j*QU=3M{hS8CIfiQKm@N1?nZ%c4N)EJ#M9-C9Ta<*IC%Jl zghh`7i37oUNlDAfD=3~;IjeRK@PN^*r3w53AZJbk4h4miI0E}qP8LK=9C*aV#zap; zMojQ&d46gb)6)*&1GxDGch?%5+q==&@y9RTtl|;v0Mm{Nh=P0<@iw^c^Y-oEWo6~$?mXee>aa>$X z1Y}8o?+6b!n4KWyEFkd*z7i7?6Eial3k&OS1YcN~afB;9$i~ibh!c!jKK`SEAT$65 zgjDJ`IsFg$0CBs2=pPRJ|AqsQ8~#)J-<>4xs_xh8y59{{4`-<~kkmJl#NEXGp8ls% zZT7v@>DJ}p-v@vPI4nOAAgkTF75x>~9}s=(?+*|DO9flKeyh59pBYCG(Usg}%`Zqw z3IT|IVAF4t`jau?IW+i_hd&j6KhG^VP*V35j0{fwe^0<4K=U)0zr)kmP!CbczXi0} zE$)7I9o*0UN(~K?Fy>bXzknktd14C>?)^JHZ8G%_BYp#3UneEGHH*z*HY;up{vCa* z3*AadZau00kr{u0gOhB@>K|{_|K82FPv6G)4b0Z`q`tEC=f_(Bf1g}^y`;4CCWF3% z15h>z2k>`ToBIqlS)HT=4ixORUoG7x%YlyLaQwz=_zX){hb#I;qpj|6t>6<_H`3CQ zh~H)A8=BvKf92cOzLx~!brTr;lB`2W0>E#q*!o@nwWn{({sY&yW(UxISZ^ghTfmo*$dxzJ1p{Ad;xVRoz@wNd)i*SF*WqTNC*M zmaT$6_WFAXP9lKIup#Q}f!(-m1RejX#UDHW3guUoH_QIm;wxu<;LlII!gX3-|8v)0 zTl})eA6SGN_78w?t^c~|*XLWHf3N)g*82|hU-$Jhp1&FTmz{lU^OFGl$kZ)K`(^t- zDcs`BpFI4#;-4G;hV4gGf7i_q&tVGxM(ZED0;z%C>Kj1KN&RZSf8!2Ay4|CBwlTR6V{`VZsG{~etF41WBM z;y(k=|J{20Gx9$i_=f}kaNr*f{KJ9&PdV`K9lZY;miYG!`#&`{f3b4^;Q0kpzAO5N zKYz`if1ds&2mTSCzh=+B%AfzK_|c!B`epauFm8p!{_F3*8son--|u5>&|nMHe|_A) zsrfT3TyOUl5|7_&{o${^u{2P7$mZbkT`uI1RejWbXjfx+x zRs3G~ZGa!DeY;)oZ;bv!(;qwk*T4Nw;lTCtuaEwR7Jm)rUs?7)bp78c_-i=dJ>Bg5 zuWJ8yM*m}*zZ&6ZG=GKYk3Ii8C4YtL=YD^v`}4zpzW*%;{vR<y%$oHhB#PU` zwbjklxnp$>SC78h$kmKmM(65g#pqbwT-~f3ZFRG9v=yu4isAkK8Sm#WIM4a%InQ}y zW&eMHZ{}?pNMr9)I|2Qa=5GN%Z$f0=1V-u^bWL+2Dzpf|KIk)>w?HRSsR zvo9*;zsuB*yWLySMr5mu{%l@q)zCuKAYHkhcE6)gs2Sq`I3l2yd_vQRejopHuN`x z*{WSK-P0r*DT#OOH7iqu1a`yrpE1*ZeuV0B^{Mb>Uo-F#Bakb&wLp_5Md9WT#iMF&KJ9D|Z)J@h!ZH)W^PKu3ulnEhJWqR1}Og z8q|tKK6wk_rq3&6aqiy@>~5FAM>I9{v%F*)?nIQ{YGnH?(Cv?k2_6*Qx;7dpQ07ep`yXSMxA8y9n5d4TrFvpfMg~ zyac0u5&&L^dS9`xcNHrrX?T*bD9HBkVKKUnXn)sr(N2;NudWV(DeS&J-1~?V4uqQp zMbhptThS}`JP%fKSH>M;h+-(=D%~hrM96E}HzjDG4%^h4XyqRP7K&3@$LSMq*8<1% z;Qq0}*$01u2S$|wQNy#}{g+;|=*W%RI(X(z4KcN(-4|t--5gp8A@eq~BE-}drWLLz z&8?x6LehT-;ltbjd|iSnq{~N`C7{yegmG(Rf=;;ATYpMVfapRmCYk`O=90i9Kh#4- zPVVQK6ValpchIQFWXct=?X?Q@4}3^7D}{I&N%<{F^i^TwsZGB&8%Q%7`)iM%m}2hF zsSLyibHV&^sBOawtkvJNGjJnwjd+N5F!>nlIX*>Exs%7-D43yO&|E&+dd76~p! zALVqlU(*LnF;oMpX?`BC1Bava0ySV9qkguItLF!Bh=xFtoaWx6?1jo#>Z zx_(iE#nD`3=Es#{tTA&*kl z3rV&iw~=0rOVzawJ)n`u z4A{Aguv2iE;%C*Q8ENRPx+l?Y5R3@*T(moQ$)`_5iFD7%_X6#QZ2&nf)7xmLhjv91 z?q~0>qGpWRgQ69pWvo)NB1oAFsxj7@^pD8*;zkf@`>+6;|HDH8Hb}%^6>HtmfY?yUdNIXl`h|oEm{w03J!pLP@^$D-1&lg^xgJC7d@lMlHc}tcS z<>nVT#2(o)2bX!5BQ%m6T~%TihDB!dXp9%F=>vuj44NB25OoqL7&ww_#IIf=S!TqK zPRdc7#1?HwG;H)jWVh&t5gHq=5$1<2#*T!5g!dSRxV@3BmIv9xyO+2pE;Wx`?OO&a zx!o9?HfN#u1gugR3%vZ?o84y&Z5TC7QlV2OVqWFM{*QI+ek>wv>b;Q|c>9{hNU9T5 zEFl+G(%nX<0QuPEYA$De@NEe=iNRF0>z%P6<6eARkgG0jME<;a0G54PyM1wSDv0E6 z%g3AJR2fbRB+`A6Fz_FtXCJDiyvQM~-@m~zsAjffe(s8C=7^mlY-Qua9cA*PZt%`$ z!>;H~uDmzR-LKqnG_#vevW)z^3bZDc*ZfOftF@ht?*NCKM<5*8|FI$8ckui*DlEEOllEFZahaQ&9!+S9;J#TS}4 zx5i=oYd%+W~LN;YV{KE7Ln#R|2RmrJN%JF5rFElvtOs_b$HHt7d-GRGRbPUFfoR+@cd z_AO*J=9O&F|68m!MdWnOO3aF=2TeU>H=tcTy4|||^0k~joXk>uvPvME9N&3^+Yn;C zn|WszWhF$+`V?iTSSB5r+w`nDL9U919f zEk^E;&A^OM7JluqRB(uhuolI2s8q3;+*Lt2JJ%CnWUEi+dK0L4Exqg(`gGA}AewWF zN7b(kNRlA4He3*RTFuJGlM25+2biwX1F-gW}U zbMC3Qn5SA(R=F|p85$%mUM%#+Nxibw`4`7YDrPq-a~O9;$6+|;hb(=QuM=ZDcJr?mQ6$7AmEfDoyjLVOgt&bliiY43gjB8`gjH=Hy3M@3B#$HYF z$(YsZqjl04u6=l>>v9~8d--_ezH)^oV;qe>hm_CF|76=GB?9$bTkmx$7clA#6gr zM~0$u9NBVA5zNvo;uM62DBiFQULw(R;>)H~!b@3F%9SA6oX3#i;w}>YD}MM)ED2vW zB6!=|Zv|d%l87AuO(12j(4fdZX!pltBHn{JFdw#I8J=zU@1tAIA0?2G)7ccF($?@OADH^P7{-N-md5{6OhF~_YIz1;i!)V}I~vjd5Z#Y^>t5R*`GBZ`%8k2-T0r@pB&(c>1* zgd7o^6;6>0f3QnU<~uyr(powLp2i|knx;E|6lFuI6R)tDV`crrXPQ55)&M%>(I5_* zp@PAU-uUBm2sAQu7gn&BRw6~{)@Y~}$(yFh4B$wwq`s$NgD#4XN=C{RAFpwjq23(X zP)!s_$b{NZaF{vD;#X@vRxQu)QQ(OLTuoap5BEqsXH>oBzw~%1*Zas!522EjRqWiZ z@eoX5K_VI%u{ugU@RqV9Kfh77%{Lfckx(bZBdJ#LxK108Yt_P@E4-5MB;Pb=B|-Y0 zftg#y^l4mB^EQ)S2t}*P8QAY!#Ci^(%~?M|zo8Og9jQG*w6WPCQ6%VN+puo&?iCiJFk2y*mdfOf-Ry#xK(%{U~Qsdzv zX0ki<5;>E!mfWmdO0fM+>?*2LX_zgrM+B(ka{m6#r_0)coQVrVrE0SrBkHzIxszhe z=yiO>)r(?P?;E2yudsI>;ZqC<5=_j(yLsiEHK%5R2iXh+Cmt4MK8R&PbrldvcO_}B z68u~IgOkB|j=LM=#%O#UNzc(KVi*AssCRt0WFl)1v<&YaX-V}xB z9Q(wMDO8Y9gkyTRiltrk(m2|{yDWno!kl9Ah{Ud3RilfLtgdX;Z)&5PYMRs$U?77L zZdE$=8)wbMRKc4R8v2SocK6MSHjZ(fT1h=>^NUi%%uXi3d1sMaNIt!SvoG_uo!0m} zq-Z-|8X(q!cJEFhr)BNNu=i?KO5#J)Z-G*dWD*bK#Te;#J(FftZYN?;f@0^VXPX44 z&!l#9oZuYv51=kgXzK@{urJhZ(FLbVjvt<%n*o}WUPEs5Qzj;C7c&z$GyLgJ@a?^5 z=5}w16(aR=1cNcTJQyQb8n&#aa*N3JnvWaIruj!th{w{4&Nc8!y~z~ojRif)@0!FK zc6dCk_^C&w%F;RF>FD>_Hwad19JUz;qjfNvEwh};wmH%K!;D1bjmFuZ1cRx-tqKm% zER08xG6_GPG%VtU5%;9Ouw<5Cql_f=QP8r*I=4+@UOn}c+4L}sfTO@dD`E~H8;J&< zxpN}(hd)p^$Es#h!7wkW(vrha9dv!XaI+8MP?LJWsq-%WO9Ql8yGbyFCp5}WnMOxB zCV2%kF;Bf4fVhY5yWN}b2IR}t#=2Z8ub3k^FA~*>^7<_pY}^|?%|hNza`bvj%Yhp= zdb;;)(2hR^ptpeDj+z~-L=SvgWK`t6vrIq(ik2l2{X}hQcLJZO_OT)*QUohj)!eo; zRT0eQJjKynM!+qe4)Nl{LAAEBd0G4xsZLYPptCMrK6W2%O=8-stPsInP72D4Z8!@9EBqMJcYjFE)k%I^|3cueD4OHWvKyyq-cS!euA0e|ruSQ@SrD*+f zGjEI+2Nm8OqBxMU^eL!CWRckxITm|MTe^sen_Pt`sql*Uujl2u@;TVqiZu=S41tzG zg4hLDSF>r#BMBT>k?FzC1x6}ib46(3T_RoG{qC*pA7soJXt)gLR5+42?6qHx6m)fvQE`I+-hI3p z0gCugbe@R?t8TAli6Gz^%IW}GK&8LgG>QeS4_}G37%yG7pQ#Db2K_jBjD>MoPZoWR zUFD*0tXZw4f>%p$3UIc^`1H1XRpHQLO6c(F>TNYbZhgw`B%YI<1UGw-5pKCZ+7myZ zWK+LU8}FzgYP`*fYavqUM)nNpT!$323o3Y{mT6=-nCM_}(N(URVQ?xXC;X|&O~e6N zV(R0VR%bFQi^q;PX9leA=m#h$z8S(Sy@T*do8gMG?T|`Fh5Lggua8AxtQT6xnvv7Z zBL|OfF8zGh(*>*3oh9%TXbwyCqTO9^HI&Wa#uc54Q!kbhbvoUo0ZJ!nL9wLKQ?6yW zDdn;2P!^Z8`;=!hR(jp9NhzSbE+IvQPhWU3OZA!s^Qc(AL%~(dn_y@qGT~)afef=d zsrd5@)NyNWYSyhcD6a@z_3=$6C$zxjgbLu>TvjrX_hjvku4gl6od7avizQaF)ofuQ z>a)xUKOY(=FH}_ld*A42QgiBnz0LMEQ~-XJ+or_jW^0gLa6sG;U5!=yn8RRt3^-#! z$+4W72-F+j(NwHGEAfi%#3O8EumbDqFi2l3nrC|9YippudwCiikij3o_cdcj-U@4}^*W&Yfn0Pkk1RznDTN*|mIWn(h4}W4VN-l^02c`c?pHY0 z#D*jl09fz9*ox~Gc(j#bKSWz^{D&{5R##Ac8-32tql{i{ifUTS|7<2Ajr@;fhp{6r zL3OUH>l-KfyX~63(k7k}cqCmtZU*7WCoVsudl?Xqm#2gpoEjclKe!d-r5V%8HZ({Q zOkm4}>Ya2~C{30p%XmfIsEO0UMJPQwu$su+%^(3 zRe3{NkX~zvf&4^*RcV{uPwmD9?6Q(QNor(uJ9w)=>R7+%!&V;anf^sel6l8sA__bq zlug)DN1y;R9b5RCi&SWLsJ<2bs!2~Umj`O_H7Ya%-CM_>hj8AbWTEL0*6cTI64qNw zfmotc#3Zz9Ppsz}BJU!zk#rYz*w7*%E(ho)QLch%d#72snAu?T;V%5v8fp+E-Wlk zD)|Dmr4#oOUFayKUz0`EI`bNdhe1B=x>+JW5-utbFQrO4fG~WZOnHF}tK|)6`3($D z#Sf5?8a`gf*$BFjaKzJysq7oT)5$LIB2tN?unNxLpozY;Hnk{fa$=9b=ADKo*6RVo zHw|;s=Mez`xbOrt0ZGeVlX=~w=hy;V$>lADR;s{dmo3CdnGg9a7zf~{F36M-JnzLjz9&;;9Hc;VTO-6&!*3g>7)xcClBWikcbCn`Y2lDAU-g zR12btnq7HY+-*xWj^<_W=J%XM{V>twgOxD`UWj9DsvHz{#jX!%z4gc!otq^ykl(8` zuCdBpQtExs2d-K#!Yt$XkDBwNtWQQ0Ti8vINB^r=D#=??9-F7p+a z%2tKmNf;}$h7QVn&60ct+({BL7(IK68U|VlV7=-df-pW9Thck*#K_uy8^T8d~(FfFp z6afYN4L4DFm{?@ic$d|&TN7d^I=8nBZw)o~%c#qTWAXuCv* zY5H%Aga|4P!eZ-TR=M{)bo}RuQ@{zD=$4Ocg0bE?rtkj0>*l2gr*%xZ2WY}2Gl>@c z^oA<<>Ywd~r5+^;tI?-+RNRez3z;a_x7#_$W7M3=Z|EKyE=>sp69tz9xNorsFJ{I423W8^Ly?{pRRYC}W{L3L$V|*kvriDW z!HIw}XEdOSyg2YP#L18JQK=pA&n;Z!-+EYrBPNVXi``ev^z6=^m2zBPfF<_)2H33N zKey>6%8OFV@xhr5>H~ZX2O|0m6RKJS9|6N*6~7TqjCgtzd!%`p0_g%8^eyiw+>H%O z0XZvs1j9O=0Wpct$j1EMlcK`($BqU~uCpcTCGSgAl@Z6&Au7CdPrkZ{o#a3xt><}% z;W~e-=fS~Vn&I(2~()8WRZN%`bF6~*kh^w58Nw(>gx|JW+<88aK7fOq{*D46YLX-uNfe@U`SZROers0ft=Ca1n9{hkK zmdm5t^&#vcyXb7YJC{Ni!}|1lIZBy>+OXK?5&?6l zwe1QDe=?D7xW>@ADH8NX$k6pNu(6^#-NptxGq$_loILV}RGVlp9{PP;>TYZESuqfA z+2RU9Nd&ZI;>~n0_RNG{5ez*ORN?Z`%UEFJs9Xr4jIajroxljR+$4C7upH>;0E7bx}U|N2^I0h+l#bdY)SkIH!O(C!7lJE<%>`IX}Pw)*6=kU+FbLDqT; z2LwPQM^b!A2wkAyimH{znU;H(n(cbdN^$V?Lv~kUaT!(+?w!0<_o2p-oqs$#{8)ZJ ztSgR@SVym3I+r&GOCcbHR_C$C5PfZ>F$%4}U2PF-7U1B?HizAvEFrt07g4yv2X$XB zCMYh&si0E|E(FDSq%b42_-IQ?*PBP8xAmT1`&zt|QkWGUBRMuRcN`22rN_NryRg@m z{g3DhqVrK>Y2fR583ffEfKhkhyBzU~RLKGoK;y_rkAnS7p>^s4saN5IPHCaVz-uX~ zEUQx(X`C#rn^zdobIk@dB!qTv;VHn%#zBBcY4L6F0o zCIE$`PfK+o9uPj>-zdsYvUmDVY99A&$}oAKy3p9pwqwIVIg%NU-lAj`#9eIG4CFEi zCrU}C=zdarkl_LrjCmR`L67WA=Oz`=y`X|xbr+HuXK_-nfZNwctg| zG*^}-KPfE|w-vXL-#{1{gz&RaaZjN>3}v%3^%$FWmcu#p=nna4)?U6<-aGNJmYW~@ z0`qY~FViSvb95Vxk@z|qmn+LZX|sb0)^*$RihkHZzCuaRJ@G<9J_+s6#ATl=0G~BB z5{P!HZrrOcf*B}HxOvNyIFdQpbC(*;&&X;G5K8tvJ=?nh3I3!)S64=gGi|kOMmLW3 zdYnr(d}AUURDYZY%jlTmdMh!QT2DEo3K8Rk2Cds=G>N@V?wQG!`dss@n;NyajGwlqE5?ih<3nTdKwAsap z*XndMJ)O6Z^IuQ;7j3oL+_jhS6!%m&&Gq&*UaJh3j3tHW^X}~IX(7K^WszM+wjMof zy&PW}9OA90wn=W9dq}Y7qShNhe_+k}T zB73eApFxN{@smYgVB6=3^qd3Fh&P#iV-=RKMrpZRnO{zWFSv%|NNdCW{93!;HmPI> z5;xcjAc>jQvS9kz-jTMwKm*>fX1tTI2R;Y^2zd^EJ>Tf)s2D$PeNrwtBis~ZRrB6- zP*Y+Xb?`AY5fi{UUf9pd4yOgM7k+*Z!LDu`XQLy~Y0`D}wjowG^CbDXlu~2&xQ!AV z?%NIqEl|#Tpew`uM`-&jM+27H$vLejoMi25gGT%eM~}m3Yq@AN>}pB?=8xkc-Fj2S zNmQKm2@&mtF#p_{e3ipKpS)@wld=2?C}1o<;&t9?6AXFWsF-t5y6&}}c;ZfLvnG_C zIE%)a77ShXEhfy0QVt~WK9{@bjbjyxYp)0itxeJ{S82gKNSBZ(em|5EsW!Adc_U(r z4uG{N;1v8%fqb(!fjuE5dnTciTjNTrq9iP%zz(Ma=BE@!$iAO+(WH6(1iYy~#23K^1^U#yIvTNu2A!SOa19SThf` z&IQHZD@0*!O$CXu>n)1hyico4{{K#x>{4NI%U)6>x5Zs=2dI;gnP}%@Muc-5*?Owy z(>7`-zT;;oc1y`MD{lNc7OcmZ{Hz;KTr5H@`o1FQofA4801Vj+5sz|ui3uX;St2mWUbEbwa<5(ytE_jii<4Zs5%x_ z2dQw?q)&IWvUWq0bV+ViyA8fccX0UEt3;|;NoZhRA$53Z-J zNNW>H9@|kTJYQ}@JBuKp^#6kR_e(+{uof@|sDs98WF2BRPicM4!!4xZ3m$^IZt3+w z{3vC+uc$ps^wnIdHLngoa!W0~S+F7lCK=V`tX79fmL+VDkq@T^rSeOULnbr*IaWa# zu2bi7+-3eqM>n8nLwKue5FSc0A9UqbL*`hOnIGTi2>vIFb4b zx~2+-J%LWU2BY3Ob$6BzzPPo2dnHAl6tXm8L)Nr>$}_>sM`faKWfqpSPD zd%X+rCLoim#Gvk&8+DKVf)UO#^q@Rz4O~=vWgD%hrrZoj1Wyo&-)#qJ`x{NCJGJCa zbDUzl65}OHQO~Zw6O9ZcLQDBrhXb)|9ZWpb_Z|e+4u~?X-sCnSR$>md6ibS0#N9!x z0@2_JBkuy3xDN|4sw=Lait$KGyp}8cIGpO3mx<1-U~xSgScT%;;9&B0BEE}8t-hG% zZ|b|5UdDYP5f!;Hu5+Z|wD`pAyC0#cjM}){UD7IM+fOs09jhkg*oH>3?el=HB|HMM z>yO$G{itSC44yuBsb@~Gy}V#5L>YmzrlExd9;TW4X)L|UJ>uxZ*?J|t7k4QNv)hcc z1|?>mvZ&T4UAmKKP4DgTQMcG*k68e!Cgi9E|5v7(1xe4Lp)(9u7le`PbowuH#y%d5 z8Jr2bBB^58Q8#*%Vx)>fE_f&hCY*FfWOnhkVG6GF;sn&@Z5peUeHx|x%~glVJ(4;3 z{eawNb47D*QrGhRj^|nD*Nef+b5j~;)4+L+CMOB&ppVOnpwpsZHera6kkR!c4@jq1 zCcD&;UH)(#$isz2+|1a!>6wDZW+AEHv=tcpCRrQ)ru0V@W!cI>zYUx44y2xvoRP~! z;?b`a5E_|t;U1V7&*-^!)97@a_S|cf49|RiYq7^L-Q08dIo*{GCeELS@RV>I`K662@+&S4v`5TKPli4HPF#!l z+X~tvVUM{PteZMhlF$h6Ic|eQ&q*w~R_HKc1Y5Z%g|}CaEvmz~=M=(5LE^S%0<~R< zah^F8m97+keAxgpMGkfU7y4+3cB;}h>JLHQBB?|<{yWLXkK(Qh>##& zq+5+Gy;;?y?^FcQ9O2XnI>9PYco_UH9c5$<`+iO7R%wg7XF`chl+{%-|t^N zIRQF==jl{4meWRe-jfP*iV0utr69nH7kv!kQ`C*&isfUeB^M1jE9mP8jr)bi?=QQC zQ-ax7q^VkO~+V1!}?e<+qXP6yN6pZt0zQ;a&48tKT0*8TVy)*D~Q>+2#$H%j0$y%{{$0K`W2yyJQS`;kNU4~A@DDdRl;6MA$T|?>8i>mr<;Ek2@uWgrKL{#`c9oeuMLOxLmxRordR>}W(<%jgBb3}rx zeCDGqb=fLn2IyNo0^c>d()oTC)gq02sRwC>tkFJy8;}qrN7eY$yfvt4xHbJ(Sy;@J zY|bOf=G_l2WyX>E*c5#ZHYUM%vUvQnCE1v3bbj>J#)vUm(hMhrWa|%c9~s+Kd$RU$ zXw+iP2C1YFR(P#T_qT%s$#h!wn}IU7-6cGJisA~ck1;N5XXV0eJ{4YA;Z$XJ#1SYg z4rR>|THl9UxwZeJP(Y?TtOcuyEqo8+cKso`h)D}dNgbj;v{Beu=fq`{`w#62G4zB^ zUD-USP`iJ{>S6f z4=;%^!wSIB@IsK;RY!vEh6B)mI_B%Dq>nS2?YyhHLFyI=us<%a`uU*n;A4E!X~6Gb zbGgdalXy^!S3(XxtnVJai#*cujKUyQvZQ;+`=d~%Y~3I5DfS11_8YGB{kOVJL1~}> z`i5xX4?YyFzyA!?0&a6wbK=_zuoq~5acx8L>lv$)epoq|3UJ7?Fk@=BQ$$NylbE!y z>cj#w?tOF}JI}J;O-^CiWNJya$y@2)ZEAl2nc>u@58h#gN;$ zvoe~qWK@b%$`a}zUbFdfJgu0!nVZRAr__VL1r+LLHtvyrLNNFz9EXP{*AD{ru6)7B z(05BJ@eKstmki6d`d0CPQfI&iEY+!p&tNr6<2s7u9z(+_WgH=Uk-}fUlcM503j6)p z8gq=p-pj?lL;Yj6wEmD*uG0@FE4}IT2!4TM`wQ`GRc>XinFW4~sk#G6V==)ZWCx`s z5jCg9BJM7w6rJ=x!~Ei9wk!~{KW9|`fIp|J2-q~Qb2>IBm0F>Xph(vv;yR^v0cFR<6@k6LS zWhfRUZ z3i~jCx9OpDYreThW^i!){snTXvGiaVWJ7oz79U}|Ht>}k|I_8FWo!*7nT@vqLl-rS z8^B@E6x(4Ja-R0P*R=cvm{71%EG3WijuTVonHB|6D!jipkyP9dvx}$ToVq30wST3= zbexT1`)G?LY3bM?*)`-tp$pYAV->EwP~RYc!5KhTi@B|+!FCO#*VIg!fL#JYcbZ-bcVw z;xE22nQWt~(Fk&f(Nk5|cR3wbS$p?Z&iURQ&5>Oyq1aWCM_Oceuf<~JK`S+odQN{p zWs#&bbIIp5W9?=?a3zCJ1KNx7oBHyeYtB{0=BL1s3xt3cb`FA%wc9rQWY%bjZ3Zr*<7FF)#>Si=&X zZX;ppSl3PD??<2VJ{6F0laP_WLv==|vMLrK z_K%VAhlCsur~K!A${XnV4?0r_iQQx5Xm)8QX>8+K8CEe;ZDCcCPvtJXl8DVbuF@xe zO(k`-^~d-Tx?hyo>Df<@^E$xI-@gvw;sO`#zG^2+nz;0xQCy`cFO!;YwGG@q=5&7R z{rdDT`@PE{p)Bx3|D1a@eU|*T?fQ=wkt{$J+o)0eM{JRCa~5&u_#4b}=!%}kSCXiC zifVT8tN)C8S!e3t?}_h#p~-%tK(r{5mJR=abnAiT19UH{^zU<8otQ62%Rlip;&U3s zyOEiOTE(BVl4JcgWE37eC|ie4P4f=pu@2gFpyKR+`;Q)kM7y4oY=j8{C`GXXRUa!e zy{M}(nze3ylvLEOU!j`7S)tKS!}q}JQhPfNTx1bv|5Xh1yBKF|`G2-GnoR#oy6fpY zIjh#*Xcp^u_4_k(ZoB7Hqb*zId|g`qh=VA50cA~twyO%g6Jl^}|o{m(LV6{8hy>uk`Tvu)0+t0geSzr0ssd4Xpj zEyzMQK~sR4wIMJ77jIL9~lz~!0^O+MFn@`FEoyU*2Tkp z*L2bo(LZm_---W;sdj3<)zKgN*8*;s`j5DgyYWBmOv=5N1GYUthtC$~(t;=-{%S4| z#}o}uJmNBjIy3yVsyotOv%&(8eYJwg;8MZt+bKWELoRUVMFcc(Eslf2e1!wa{ z^pf~igDb7)!2F+Kz!$S-aC{K_h$iN~#Rq?AtT1B^u%Q;1O}k6=*MHiTz0$d?&F?pv z@kvM|*v|4vn#5({Gg*CO=eH>=g2W?^4@3Ai@AYWM7M3xO6AX(OrU_X-Pg|eQ&$uhYIs8z!*Nb=3^iC=@hJoa#W$N-XAJbI)^Z$GX`dCU{n@_?DT|%Z=P}1Xx z-ZoA!R#dCRX1{&=IwQ(mgvDaCJe8t-Qo4Jt$#>7_qE+PZt!>skB%_d_zgtU{m1s>n zWAU#a{4TDmbQ9kw7e|6ulTjgsKXr9~eRX=wc4R*vSGDyj?Ndc%huF5_fBIb*2luzR z&6X8RXMOl5h6Rtb5qBYwYy#P)2NYDfiy2|1tYVufOtROGS6(eL82e+adB5NAO=NhxtECTo5a+)!GSyA6f+aW zGs=HfJ`MWJYj~Ee;a~WFW@7zZW@29M2IhFEPd)4`c4r}=DH{-F1XO_W6yOI z2VpDaHC>KPZGN1xFRKK!q5w_A^-?^l{^ zc`Wf%*7-7Hl+#%2NED&92KO2GrT#7o+lu&b+o=bx_z@gP%o&&bMg z-3O2nt=^s*y;pN2wH{;fgq8akInpwA8IGCHBAMD&faGJnDpyvJ@CX@}K!sa<{2EKj zls^*!dx7SBqfvw|@SHfcH`^asrivj{;M;Dkh;K>rme{Hcb;ge)2p$$) z{qm_={rgmX=g}L-2jnS8g^$Q{v(q@AXwm4_p`uk^)cyd201~)*L}{j5pPqc`i~=bQ z@mCjkaz4WGok#!l!FZKKn!5cDUoH50#`t|Y!lRw4YTfzVlT72PbU8H@r0YkF4O8o; z0NDZ(g!&AvPi^9Vp;7H>84iw}{l@v!r}e*2Zdb$yl^5p3FmqimkYf1<8{ko393T|Q zI$TBk?@^@CusAFWe*0yOJugqgw5B88bU8VF!x!K+;~R=Ba}&A(lSuTk5iXw z6&f7(KVOEd*MxsB>f1+1uP&fm0&j#-n^al)_y) zQ+V-f%6!gLf+gUbi}rv4L;*Xq$V3AFE0uU94C+*KZ%_9yFj4_uA!0oUHrDXMb5`}> zM2ewi?IRIPA3gg6v-y044FOM6H)XsrzjxU2sCD2T@LrV3fc7 z(a`GULUfSvLJ?*oTgp=JkMIPj2rgVMUzu8}-cpo!vRJ5Ug(CuUt@a-}JzDA3O}3w@ z6Gnic4c%Lksaj!cd6Z$E1H%gg?-Dc-#P*pGz*GJF(Kv_C%ppd3m=F#tRm z^NQdrFUh`%Pl-1l9wc4!UlKE$zYuHn+5`1oXP(u5e-LO+HckAc6(w2rZt#JKg!eXFKQX;2q!fBM%2KLaI)PrUWh5jnj?viL51EeF(U!U39zs+@i6wmPxfoj7Rk z6&gk+Un6>9T7y}cUwZoa@q72%%?1U4z3CYK(F41@xxa#WAztl?8JZRVc<2Vm0J}|Sg98$0emon_o zOPa5`0xfIcpLaQh)FrCh=aDW(Hw#x7R*|u3vYQGB95-p9h)9Y|LFeON>2HlcQ}c;aPE;ngKD$-gQb2C0 z|KWNfqeZ*;P0bV0%k_O11}Vk>93{%bavn`Dc3(Vq78bOuD=N;**HgZS&56qc&v-N% z{kdBVdZg{t1!wW8GX*HfQbp5G=^T9W-WlDZAL6^v^t`qxG`Lt45!>_Zg` zDfA+B4h8FzPyfN@*9N{`t@!-=Wt;e|3eYFHiN7z@NSr5&E3jD53jZCK0t*#~gKa^; zNn@mgRr9NgSY!0^X^$ug%J-(JPb~kGM`+gBj^S9+F50>cT^RASH|T*}a|qK8)o>(D zAHQ6f2o34p$G`PD6suz}5&ivw_?l~lqouLi*b;0RwnXG<-b(o695tBuBS<+B=B8BO-^-24=~yH6|4qpBOWWsT-Rv*P_I40Z z$;V$sxuJ@Mkr}vi@`!dNC;E4@zYCU{csiL0Z~uyOAo@E$t!r~gP{^hj>7<`ggNbVa zW6lu0ac^m;!>7{#0g0unmxUicl+L#8OWDqot+ni191oy;ScYiKrr%4>5nQKozdcZY zV}cU6W7&$md{I}b?hfQ|iqogQ>RWc2mIep%^d5}-%mpo-OP>PD8}T8fmK=;>s7I_uTB?&J+_+B%#E73fK;;#tWzgdgkZdb`iui?jp)Ch}cg`Kjir?xI*%@QThK% zelv(@w+xfeb7nbMQzqQQQWg@Bi@$#=unn7>zxSBAQ*-qW};O)tK^|v9H@I zDxC8%i&4^|PhoWRwZZuIlDKFj44Cv-8wxz;O~Iuk*R@kn$TpG4Pla;W6;H}f-#{b% zuvkO$+f?(M{L`)PO+w8B04K5mplK0;>rb0u)A ztU50f!gkQe|DgCgr?{T1921wNzanA?@zVyKp*uvUhqkcZ$2zJOp63y z{1jHpP7kAMgeu6Fd~%?qIE`U3*y}ZkYDbIP%c#|RQ{!rUkGB&nMcMdpTve6Dw25!L zB>GcsfRhMovuoT-mf|~rGq=X8g^yyb#PzD9yaE0dm5c}BeRQf%0NH(Grr?eF9=QuD zBnVPun8S8fXNt&;*362hEx}E-!WNb>0 zHhn79DML+{@>l-)`w6JKQ7R$5bKqGyjily3uSARwU)S363x6eVcY^Nilkdj?MRUKN zs#Ll=WZYVt+4l6P>QG&Gdu_}`C(R!+aqiV5`J~u#MzVCNKWDZYZD!+qHTystVEEHR zi-!fp=qhAj`L|=frJg0a;y`7BbP%l8tEL7X_HBC8ISY5LIoNEZ?B5>n|F!oe@KA66 z-*%FnLJ3I{X%kAe5J@VflBBK{l}cJ9DeKtxW$gRD@9UTugTa_F7-QepB%wvJKj%Bt zty}lre*gP_p4ad7yzYsa`JUzTd7sa6md`n(@UQ}5c>_5{AIUnxE0s-?!rOS^4f$qK zQay)4wGT|=6kfg%UW`>R89Tyh!g(%qDG$dKt#8<{XF*&#d^AyE@?-M9mHa(m?~~;8pcr{ zzAtEPrB2N~(V^9Tx4I4{%Ah1(su}ZPpd(w_{iWa;;y(6lo8!mAJdZ8KO+{_b=WE?Axdn-a# z)1mf7?_;c^)!p2?B8xBe-Ard#A2jM}`HftnOzIrP3S4o^e)&j#=tG0rJ?9u!1qD* zW;(_o>e@aT=Er1bs{BXJ>lkIu?(i?!*W4-97{`Dt>CH!Kr)yW%h>=G=lswHHt2|X{ z$tme}ERfGzX7_p_jluazUCw*C)v@J;FYFZ3Oz2WI9>MgzIM^fEO|_n*UWQ5>Wql~N zOP>E+W2*HvvbCC_qUk*oLFDZ0JKxIgTR5a-yNr?b+=&N6XN65qWM_Y9d3X^RtAZ$v!7EvkK_aAD#V8 z_1LtMC}NI<;ck5YQ(;sbTKyPT!b_p_vyVgy0?wQ;x!P2l*Pkru%g(PVQLVF-kd}4w zHoL1B{8Ge55v`YUnyL-6ZY?sMd&fwHJLTSW>0EQNY1=72HaO-NdDwwQz-~Wp{yy~+ zi8|vKXwg+ZQ&T0&Ggo=4DxbY-*rRgRGIM?MK7pu{&O_=0Z32$W8!cq`opko`p>3~k zzW4Z6@Qo6f5}p^iqrAauzljeW-|6#u=sJtTD!~oBN9P+uYR3;MM163@al1VV6m+QH z!OhmPI8>Ju;t*`vscg|ZQ5UOol!wN3x5yC&jDrF{S9Ff1bgGZXj)NIW15~m_Ne>YH zzuh0~X1}4yuEyO9&)9NcY@v3}-IPm_QEHQPkj}&0>fivj^(_I+=fh&8m0V7UJvUm1 zdtxQEESRoz%nxC8vL|U??wbE8rnFQWgH#Lc_oGzS`scNXRC5+ex_PoiKI8kudijgA zUHY5hg1LgkbDvEJZpnViySg-`Gz8g89;lq#r|!G2H{6Qru7N3|Ff|+P*F-;3 z-PuDPo?>{BI?Ax#z*4jEVI^YokwZtu>h=}Qq%WM17kU0^JB-yKo?SQ9%qGFhZl6Pm zrb%d&)}HHj1GQbF4YqNqsm(?E6Ob^a4O90cF20_>DE+8N=FNWP$>mS`Dj&PwO_j(X zaBlPvKO?7i+garS*JZ>4m7Q6rU(|Jn2%<5F`+H<1Mp+k=aH?_y?mA2M{tQYlq zEAhuol6-d=$5&idb>6a<0#Sp zqo*SS)>qGPyPB1)Z@cBAbX3NJ<~CKzlWEO&+B&fcT}IlW7o4~(%`_yX{JjXy@J+{^ zU03)B1f7e_NiI8`$`-nPy`$a)`%+2y(#Q#@m=Jhbh?1}S+?Kreny2FT>n`-f^5McW z;^xftTyv_Q4K1}TTd>|K|4rX=i>JzU^&o5U;p1vgqu7ve@}v#LVr#;c&ijWe?r`OA%6+-G}D#zECC%c+t-Hicu!Z~ zop)(`^j~NiwFN&ZyLC-e;?W*`zsl1qt&d}Wi{IXHi#DN)oJDnE+J!k_MM%4Pg9uve z31)Bc6Up+ZXfxRKx&;E505Vu@=6tVeA5gde+d0KdJb#zbV*Iy63*XwC_bio*3RHJl zy$#^nWw_(WG4d_;hBNdQFP*AAXmIP{O?eBYfb3lzn;v*;VIN;zdQe!%SWw_cU4JU64o^Nq zGfvognk&vAxAGm_)-z}9ysfd`ZF9OrVq}t(oI#?HZf-x$KP3h&p>!zWAdRG#N(TK^ zngNwStpOW*l{ZZ1cEpQbBI%p!Ih+f&o4s45K++je+K`)EDnZJ=*qXl1Vui|ag6b6J zl8(g32{}n;CCh0s5hLWWdNKKTNgwr7ZkLh8bB+?l$?nH%PQmV~rp{uiI1UqNJ=YB( z;T!qvcRCx>?W;VPlAg_bNw*K_VJdI)_)byT2GUl7;9_$T{F?5);sJB1*}?hqXoCFS zF*&&!%j+c14O#C`iQAmj7$35nwIZ|It8XLM$tk5*nA5AyhHAXN+J+rb)Mk2;xwY<@ zY3r+-Zx#wto^LkOJKd?)an>j8e9ZCLVDBsoZLXBL9#^^ek=qur3D-O9pBW4Yv&=R` za9rS_q4pHV^bJTGbH%MV!Dcs;?47k8HUuAE@O)YMp4BXFI|?8S z)Fr=}GV*F2R!{iAY`H}An=>G5SVrqQx0d$6>`~H2Er6Xl9^=WN zR!^NXA=|>7R(R#Kw1Iapi(;;Z>vob_Yj{*!7gCIzQNZ z@xG7){O$(yOWWlYm|Mr8+tN1|CvS(=2)FYzy*I31*F=4Lv+{~MwkSl?Gs{f)#-rfh3&>J8rtvO>dCzIXA-R zn$8VyKU%u?)SMyNH7Z|8Ey!${G09YWhP&(>oi!5;e4Y3wrMFsH)bhrL8bZ@W4#!v< zpVR1`nc~c;I{!$vbbpy+*ml8}dxdxIn6VB%W+8m6o?$aPUN_^jrRCXyq<0q5Nf#>B zaVy2VFT-P|ZEoN()00W=(x(JF+QvJWP;LmzUCiNjm^<6eWggDkrkH6A&y{g);q(#S zj2+sse!ZSfCTgbmPT-p}q%7t8LD`)uOOmg}sGnJVe7){yK%dZYRaQS-`XM8+kc`Jv z=e-ec4`=9~@(^6y9jeSZM~psE)Dz1%f6r*BYEq$Z%zcPmE9vYrzROxzQ_Mr;%LEDe z;wYASk;)N;$GGQaHWp$=owsM@)mwHcY}^0zw&?o<^w~GW1ur5M8VsxZ{7`#GeI=h5 zpkP)ROV;8729h@hlmfaKC3PMIXOqX7M0Tm3I;}3lR0ES6wwQy_cx)@YBsl+uSw55x z<6&hHb%(X!!h2UvmuWS-h)9^uwDr_ctF$r)i_;RHvGG23aJ*oc0@cK8NjHwTYZ8k? z^~KTFU`UWkqEUVvn2>|08<)5{06VVbH526?v+SigRLut+AtEfM`O*D5OAwno_MSEzEzO{WSCO14!@Rzkl~`dTR3R#KfEN@$okk zZ>QdU{4}?)v_gRcb#oOvKnb#FXz2hPMkXevbxe>DpbQ4ab)(rAA2=2G&s=T-#;)oJURw2OiYZAjSTd5 zwzV`jlUqA`hh9xgz5n>}!@H@8*P}xNeZ9SX{R2azV{azk&3s;1b_kYHVn1YHsW79T*xO9vbNF>S%B8=ouIppPYU-{dQ~!Kx}RA z8hG{g{in~MOYbM&yas*g@9iKHYcR^9oQ#YdTMwSO^AhIl_|oj^h4WV)yM(4A@hzR* zJ>A_seS@Q~C#K$g_%yc&^#OE(4#*bhn3igB_QTYhv5~>vuJ#rPMFX*(P*+=1jjgH# z35%<5Ztv+I9O&!r1c17F`uYJ+5)NIMnVOc1BKE(hqGw`aprxAoIQ3?vmt0ev6kvBH z^5=Ks!@V7?WJo1#?XAs3TondWS&gg1RaaJ2Ruh_9L9crIfm+7LffNRN+Z!r! zqrDw%Vg8B8rh$ofkfptwdfnfIjCZ@Tn+~_q?0j@);c>zCGdCVMC3UkOFt80S8fHIm z1s0Zpz~YHO^rU7|V?7>U-_+XP(b3sAIyJjQMMFo=v~C>}?c(G>OFgc(wzdXaRaISE zTZPDqj|h)W%E->i$t@_W!~;ORL$9Z2W@n~f5B78e9S*crrFz{trl@`2JEfxI%^cOr z%rG$zZZ5MJu{%R9du;o0#qLlMkIaGuCzWBHhle<07}QC_F4EFeI@MU6vgmmw~9NM4@n9uiuXK z1Fvbs*8qH#Wre^U2mpaVe!uwA&>O;^7KBdRv$D8<-_qX63FhqK7ZMShl8>$>;A^U| z^=*TreGR2aVIh&RVGakfGQBc%;t1`8Jox=x9e3%w@rvfVOny^K#J5C~S3G0)Y;P6-$$;ksKi#3 zW~U^?Mg}^Y$WSF3>4y&U?2z2KSNZfs{qu%*o?2VmxrZiYW~OK6Bg!$Q8Nqh?DoQ7= z+`Fg8@4Mkpt$BWB#9kQ|I~Tjltb5@Hc6h`D`MjUb9;AMva*|zKB&wz|Gd8n+nrPjiyvS0G?fHBIH|2~pvF@m zx&t9gI&s@P{tRz2O8ElmC8p+eEY zAE?h?VN3VI=XknD#s&GO;Cnlpx|pUyi%s-0Za*JPz2@#4UDh`7d4-0VPi)6#4sKCt zSt&7z!zc94p1=Oo+RVtn*z~^na|dU);4ExiNsO1Rp%}?rOj7IYK76`Id8FxckJ!1$ zt_m524GBS4;@gX6*exfweXHoUZBnY|&+aJO9ifMwUF<7$ zC+vH@nfpx*X_j3?M(3_0?E22>QlIm82-~zz$_q|;7V$Q7$zOQ}^9(O)|FAT_$iTIc zZFzi(kxzhaq7s3t4%!qED`_2^QZYO~KeI?X*WdI0^T@09TQ|{6QF984iSTaKe(CP& z?Be3&9u(pr89fzx>SEB_fG7s+nIoGeP8*#wxPAAUiLIxvw|7tqs%47i9Xwb+$kXw)K8u=OEHk1>;GHx1N^1c{@(G zNnBcP+eh5Y7BNAQU4nym9UqC?#bG*MzniCH;}sIwDl81Qj zHyOA`W#-2R`ahF(Tox1Fe(aoQGaui5q+#RTEVx5<|N3;r7eULL1B=XH4%r=f7mfy@isHh3CABRhg2R%t zanz!UM>UQeJF2dJL`hj$N$aed;O91c>k^Lua|ek^N7QaxK5U5U zUuPiAqYyg3O^9l2X1t+eB=_2*tUA=oNn^NgL~>MAdVX1bTl>Ham}co&cs8)JadL5P z5ER`mA})LAfXeZ$S=$S58_IWbq_b?en;o-dzw5eP+uB{*U0SHtZ{*u3dgS6w(_6+y z`WMdYXy}~Q)I6iXxa;I)!*iNqQUaTd$Yz=5~tSi8PXNq0by# zuMvCcZW&OWD~UJurfu?T>Oz+fz3%(O%nAf9ASSs}V!!;s0|yQsK72_2u)Ly%me!dI zXY~ztr(j*Un$PeyyVBCfQgbCB$f69b$LpDdH%w0n zOb#D)@^!bfcw(w5Dyu-7Q2we^W838QI~(e1(y%jo3tG8S=vGp1(J;iF-H`3Pe(Q+2 zdk}qoEU(mNW)9KaJ9fw@Djhv>@~r+vL*whlmko`sUb%Ahy2;HOre=3;-@9}3x(>@@ z*O)|S)zA&6SIV$K*&l-|7K*nVzievj;_l<;;~U`T>*We_cwu4j#LUd%nn?W{Tj%GN zFjrSsJM#zU1Xu)xL`7e>YdPxBG4GV&Im@|4z##_4x@BOU47-|J_0d?V7{+bv)PjnV zbnL2E4GnIXnLoCAX8F?A*51L+*52OM*4Dwn&K~CE=;+|!VEg3${R^!2CoCqmY_iD+ zu(N*&b3G}C-e+p>>JuCu5fc{^6&V^7;OFh?1aokJ+1okX)zH0g>a4kYV1SROho=k7 z$II-Q=jF*^<(AEu6DsM)XwO*c%31y0X(gOTTT7oVdechkK4GwTs%B| z{QQ0W0s;f!0Re#l-d;YwzW)Ax;K$d;!x?7x)WY(TtkmXu@7$q9nwi1&@(eu3F>5b) zcuZ_Ua&mG?azb2GXmF6fuaBpvmy3(1!?g=wEcbHt3Xci)aPsdq>5kjh z;o)JSp~1lczCk|Mm9$)(y*%xnyZU;&y7~IKS((`S#+AffJaNZ5zz-IKEO37nbVPGw zL;9PVBO(l~+*?==+WH0rz$2ogVgS|jtgNh@-28&VqJo0L{JgyEjLfWz)a0aum9iQBfh(A}2jLF(ED{HYO?}I5@)Rj)`Mf zu$K$W&d$lh)5FWdJIKQ|IJT5foR${u8=6;(LDZB7?k!8>)}}p--@>(3UPks7JT49( zNlnWsC@Lu}EiNr9LzP!R2~&UMfmu^J#C%5oqb|riyF&fl8Z1zLS-!p+7fh;Ym0NMs*}U~pZ<2=EigC} zQHVfSRAF&A90Y~8Ex!Qh5s5A-%1F;o4~>4RM%8B5DA2aj#YKgM;HLypUX29}I@^g+ zj)~c6*yh$&ati?u_G-j>Tn*50MFkpIQ)x+Yad~rdeG`e?-_u1Rb@UE3XT%p3R@LS; z5F%1AM5w5%r+W~GY-%NwTiRQ&rO2YZDpG3~iO|v2-qY3D)zJkuR^8p5ogHoMZLL5? zWFQvgz}7}!ou<**M#QknmR&bQ)f$iPtQng7Ph^$y}hNQ0aII9 zgeA9jw6}Ej^z`=hba!j5TQEf7_GGZ}});|b-c(qaseOhD!5mSW1|uDb)3 zVrq$aQfpgVOJ{Q}v9+1pLLw0f&EWfFt*t;nwJihPT|hhlQzxXb4j>|+wzk$*$g0Qy z5-@UNeLaCds0Z6gVj~$CS`(4j)Y3z)swTAH@=9xo^~4rZBM>NLs00EY?1ae;$O2>q z28}`@3bG5!OENQxYir_e*=CfWa70p5Q!}uVwpKEc1ntcmfKvbglSoZnWNcF}P-Qm| zPghqrWseVjR{;UN0Xrgr`VcAtz=W?O05=2z1CMq127Ead8y|_nmY1RHfm1d$0_UiQ zpf?hmNHxW|C8+v_`ik_}lsqtKWaXEn!y`(n3C%1gfQ* z+|k<$5cT!;b$3Gs)D2Vzpmji2L?)A)foT9I0-*(9+|{*JAh-Yq985(et{z~kZz*(- z!Xi@BiYqE>fjYs!1*w-Zb~MzWv2_g~m1gGVmy{G{#>6IOR)CE<3CJA;On@b~b%6K@ z*uK|cKuD&p9+`x0@9ydy>>Gf#;vj$nOd7%i%p0;G5b0?IQUv2c1CUK!4G1Y<&>$g^ z<(LW#u-lp{LRDN$Ni{0JpuDc4k^spJSQ^+ugW(LI!V!Uu;~LA;vr7=Ar71xX@E9Da zsim=z)C{b%8HfnbZv?upuR)eKl4`TEfQfc?w3FJ01_%4Qy8HWpwt&_s5&~WikVAOt zL9YooFcy^qD9AGCw-kXWD@LHpFtGvUwZQYLP{4*jRS=)41_2suHMSbOg3-RJ8e3bL zn~MO$e0V^5WMpk)10dS~)Cttv1ZfR=A`+`gYg$Pawe_XA?zR>}Re2?;ccd5Wnkn`J z5-{q{4rr7F>IDXh12GTa$rTmlC^Q;{0wYX8L4IL=WSjS4Y>WP1vL?Y83TU@U9H3d!zo7t;TPxSg7rmw5VFrKPnEj63~hS_z^ghS7i$N~f^c?% z&>&DZXa!sy$N&pEUWO>l$xTa5h>Qw}42=vv?@VZK#G)|hvT`tvV^F9HPzg+{x!IYi zsfqF7;ju}XML8K2&1A^7iH!sju?h!CycP$%5d1;|XiY7y7Ef$y?da|A@9up&|Gu-W zzZJ-=y$v7)|5{qXDBcFZb$}rP42cv=#Q`@5x+*Em%Sum(iwFw#fd>UfzmUHY-O_<7 zEk#se(TMy)OjQLKlJmi$DJdQ-sKL@VFtN6o+z(=-V0i0lA+{1wRR9bWf&()iWR}3t z&`4mHmAFQ*2pIu!NUE_n6OA|!$OYaA91$2X5eyPQf?(E%W+pIe0E@1!LZiX*BPTl} zH8Ca}EEqk#J%a)-yrv6mA(Ww!h~oU>A_TSqg)Gd=27k;ZHaa{MEL;6OeNiJ*)8nJP zByx9eOA`@MT7w01Vij1RK%P-rTm+`;ygaa$Dyt@SzFwwdV4_>5S!l+B;jJDIRt|Uq z7;L~00;V549*k|E7r=3`l^6`N46J0cvQm4=SJt3`2c>0~ zR-wyE^Rm*Cfpj9mLIMLly*%uqh=Y^w-}crwkO{cv+N{DV6bfC2M3j}4fR#xOWi^wW zn3SBFTR*-`&p=ND0>5<2BhA$qYy}!D^Dvc_Xz&gKtH5o+ng)fzU_b%nFr`KL*=ZTc ziSfX4{QRAqoE%-z;F-v6y!j?NllK6jSdS73h;Juv4VNtbGPm~Ra=iLEzFCL z$t)?(%LmSv2*d;Mz@B@64%w6IKwu#l2D>RhB{&FpgrBcB!0hboB6B82+b}>;AVPJO^3itN|TRu0KgPrxQr!Gp8X>Ap#oS?w? ztdxWVP$e)34hO8@U~}o_;skSicHi0~HZ3ePJvBBi3L*gX=;!C}<>~3};qKz>?(XjD;oBCzWA6=8POpH%R z4Fv;|ua}D}%+bl-!4Zl8*n`HmZrn7!X8Oq54(93O>F(y@_`=HSnU#h419Nlp`*-i$ zzGGs1)$pRe-kG!KE?vF(z{=L<>HT|8?Oox~A#N@{UVyEgjjgRC2rD|;zIm$OyJn`h@7w~EZvAF-(?H);L)auZC@j&c53Pt5M$yKQ28`SQi{2A7SDuNhsw zY;nS<6)UT!=C@6*Tr@N|ckcXoy>l1N zoI0~dTy)#^J%=^V=wG;?f9~WlH8oYmgNKw=)sKQenugjDWyQk>Wu&F|@87rYfUN8x zMI{y0BdTggj-J##dG@mLZ&wX382)zg)EOfalPi}DFP_sob>gJXF|Fg88b?*t)KpYK zBu*U!_LL7RDl021DyXR|XsEMHYkN3dJE@^-eC^Wt(^^MW6%QYllR0$ofUL~EeQa#3 z>p?tz^S0g6`*v>KBDjTrBR2;J&*rV$#dnJD*dZpmO;ki!aP#IZfjwj-5Lt zBqjICO7A|PdR+5}%2CxlB6~DWpVZbmenK1cKw0UqtlU948R@-y_UziVd(WOdQj!wl z+eNp7hLU@CNytm}h6&E4`6-pJzWW zE>lx4PLBJHp#tG zfW;0@HZl1Fl2ZGnr4Jm~zi;mzDTy81gh3xRZQi_zZzB)Sh7H`@lwV$69uEF(jENZn zn)`ToHVcaia&vJqQd7^p|1>i>_5RH(a7+k}g|age#iZZgQ$CUQ%mQ~X=y!OD}#RX>n{L$lQ*7hFo z$fR5Z8cP5>+s=Vklb=_pX&JzgW z#beYA3^Q%DO+6zMpJsZoW$3cJtiqOcI}h#`7Zu{&uyF(5c9|n5Z-5gOpU|kN*p!?i zFy&(Ez}l;+t*dVo{D(gy&;c_DdN(%`YC*IBQ&$n(J^V+sp+W71lJhy z5H3G2Bh2lQhRB9>gXLw}p`jV+p?>fH|7b>%*_K3J(FrhR>L$3~N%^gTZ4>?EXErt# ziHkSX_|^%iS$KJZq3XfKCt~-51 zZkQ_^anEn0-FNBQc_UbSX?byabZ|%}X_;T%*xnt)!C(%yPff30)H`)lZaXj6MgakV zt&(y|K=ZqHN*_I=t94B0wDwUoRaK4ChIby_zaYyukFb~hBw_GDNXs!YJ}R-OydW{$ z_r>+W-Zv9HEyIg6vx6PoK-4|G4S7L@|jscL0O8=%Ns{Un5dX} z_yxA^5T-8mb~DK(XdDZaD_XZre7lGcFB=oXN`F~g;ImC~&vP=^_Zm2dMuaC-4bQE7 z9`A1J9vfg+b;mR93YO`}1CTACzxH+g4c7ZWQcoP?G zSAGhre-Rw6vk6Gb$cVAe4D=6=yqaZTXJ5~-@~SGcu=Nu)H9afWy4O`@bwO3BxDI`27Br?SD#0LDaDh)^D^YBR#vBgJc+elmR zSqiiRMAMpe+Yjs)gGBqeoAlKN%V7?`nO^P)|oqc9-~0$z8h- zC~9iTZ>1am#Is*rX*)eBGt9@~)-~rcD*i1j(?cH_Sy?!Q_sa-Q737X>me*9-vxQ?l z<8pT{JOCW8Vv4g8Bg13Ta*NRQUER1;FGtVtxNtWsn=tI#rFYH6IS6#R>rIb-shdt9 zRP7(&<8=45`tb`!hDPSDp|LUHV1iBv^KpD~`{wn_+R_3XoPxVm&OZ;WoMPr;{fKzR zQ;<5RWFKA9Fh)5n3%_O9VMRw0S)oUc-?Pb$fYGdHJXbhGW0mEFHzPD$;^ zp}i6kyZ1{8v%YVwuBh$&$i&UV#z4!&vt`Q$7WS?3+FFP9YC7b!j}O!pmk@^D_98;M282h1c*Cq-dM4LR&~XSJIQKFjE-~0jb}A;MiT~7dH)#Fh z;~(JfjN~CxQrAp_4vdx(>kiLWe;8tf_RDoeBC z!{G3+Sg=lay)MJtni=Bf0~8PvpI6n~-P2s2oZ;Z)v2LXJ}r_0_S%5GxuJ9qGn=c=U`)IpaGYKz%>YP zdxdso=5=>tO(nLzeQ4tS$M;j<0?OzxxJ)xJJT?LTTf)Ki`YJTC97KI93!)rOZ0v}0 z_Xte~+h0U+X?b09S1;H<4^GptZ`rYHmnh%5k3G$u@0f+8Rn%1uhzam-*|Aq<-}Vjk zpWZJru&k#Utw@e3ek*v&E+hkqBlq@p_keN#gBl)6QhIB)t#ZfmZ}WjTe}x>o$fyKNkQR>b(oTZ(%L>M9!Yhhr%v91 zL4m%mc27)i-LrD?23H*dTpym=&ABk#H#X12Eg&K)ypicGJ|_+JZtHp1NL(DfxI20H46nMrVo zr=uB<$&2-Va$ID&I?C1F1)hRx8u~!Z#Ll}_Qbt)z_rj&iMn*=znV8$S2F7F*qbtgb zQ$rlD$ZeeKsBa!!VdWJN*syM<4O4<0<2-2MkyzHyGXn0wOn}=&Q}1U!FHzCbGcmKU zad3fk0sm$JLE)_;BHO^Jub==wFAo<7I~yyMRxeP|u6&*v>8M9%$N1VAtBZ5Ywv?rU z9adB#SRzz`D=l69qm!R$S@^^b>fEsP3`@>OK@kmPUShE8lS}IRw+ry`Z59&Uxku)( z+R01c&pE*3vXQvvE^yQ64Rqn^-Sj(f1!{I4!o;|af{ACt#*G^{0AX>kv4ERC;6@Z3 zxUWUI<+TnajQB8rcgN=sZW>)UbMl0?wvO&O!)te++Btg#hR3C5 z7nFi{T{*g}I4>h9CN$6o%w#Yan9O|PpftAxgKKQ-85)BwbAfwV&_y|LOKmk#F0Mgo z?XKMFtvcv_+&px<4OkdtL(oMs%2m9zn`F>kwz*Fq-%n41`&+L@!8NkM0cf7@TTM{3 z3JSnd0-jL3jS?0HaS`as)WFcltMQ4+>G#l;FmPLK0igM>N??)lUzI3FX@8mi8tz)t zzpnJP^e-9xr0|!>{-hlUy!~4G+V=PAKPC4=<~QVjD5GTj8vkFfwZ`S!2CG?rPU1UY ze_rkXUCAFL^-mf9L?jp}5dFvWH+;T9^*1&D^I{OOL?IOwq39_ktwH-cLSG^MUBzE0 z|7wYVHyW+1tfHc#j9SA1oi(h2`V~U|$ff~DhzHa&3NPsJ1;iWx8Wj})XDtupu0s0- zJU>)fqw+)k&oY20R(Y;s0gvcaERcA$`8ym) zabH#T>mVY_*FPxUynfIfkgFVhEf^Ih2DYXDt*<_k?+!)#JR#QO^ZN_*(x ztEH}b((g?nMBr)d4a#5b+*+g6x7FVK2nNsw2B<`7@m25NOCAtcS|jp}62IVq+-c33 zpk`mhL;3VOoiA?xh0YqbpW-P;qacYRzen-S6GZqMLaRi+!}F!`_uBdfkFpZ#=dSjn znL-Bnr%)&bl%B3?^t=91^oA~5lg=Noe3i~uR8YM?3;@5&2WWq_hd|nYh2|?4inpM@ zwFC;bFO7ddvxbM#m(@ZF8zg1&KqHjDn7~(STl&sahp}qj3jQv2-zgx_o zH(V=$Bn?5L$Z3^3K(+=0qV`Sqet|6TH_!qM2M`S~MxoG3f6?j>MQbXc^b1OW!YVj` zfzn5cmXyD`!=H8Tn|#nO00<5BkCK4Z{Y9&vLH#{X8JHe0N$?7(3!?V3`hP(lDuO!j zow5B*{U3|hm{J7vjVXgZg7jnczt351NO}DqwO``^wWZ84lvMtY>HR(MU#LM55oFB( z-9PEvFR=R6Dik6ABT4@%r+@4HD}jF{@UH~^mB7Ce_*Vk|O5k4!{E`GzRaJkf-k((Z z-(F?{IN%P@pD_D>p1q3ZzeYk7IR7;LZ)@!TH$4BeKmWG>R|5Y<68JB3_rDAUtVU73 z#8SR}`udp?Q~F;N?+?U&%Jo0W{7=w*M;J6*?Hm-o`M;4?k^LaRzhU*~Sk}Uft8akH zch8iEzajmPi@)ax4g{eiLFg5QEK^Wa0^ieDro8-V`o{=`Z8Q*^XBXAUIRcxTEKZ^XTXdziB0&7q_1ime|c4Yh=`@ehm0`05J)^L4k z_Z|4Jm45NV-!cE8d@aWNRbXFY(5n?!t=WikW2^^@^Ut{=dh5jHR zDB~wk{?n}g2-82h-SVFz`;+=V2mB|M|G&uoKcXPlEqGqcn*&=V3fG2nJ5O$B8$hKrDP_m4~>8Ia}`+(QEw7 z^|-Q)#uM6(W+@J$3vg_Kb`06>)q1k4+8m@V=0pz&MFns)+*|USHm1^vs zEc`0FjMnYs-9(Q2_ef;{mjKxAQD;GYsUx4_TE8_-S$F4K=AcwVarPp|5p8%Y(UT~` z`82p%#4RnLw07Hmq^Mf!$Qt-sb~>e@f~>5j9{9uew%;qQ|K<_HwzS z`Ap2rWxsRo6q?s(Egyf|YMolbs5!>N`LYR!`WAN^jV41IY^IfutC)vtrwptGC?GE6dPjemX?BEtW=1HbX4w?p~PyUWdNVX{ z0%EFdv6-5%Apj0~v(MXofCGaTnSo4Y+W{Iby^=_6NAFyskS)0?6B09T#X&<&ds{&!sYwR+r=s**>m)gck5@3ZLo^tJUmt#dy`Uk}PI zLc=20qPsr42hOSf9AlyVd6sURS+f$Re|%R2X}J~=rv|m_0(m)(<6yJe1#xj}I`*&# zJAL7xsoyMIG$gBezyX@X@|*u4dW=#Ys0_{yDu&S^v-BG)+-u-)_rNSf z2`#KMwj@Q48Gp?%RO#*QBGl(Pxpocp3Ua>6^pl^H6%mtT)oiG(I)b!))YR z$N*{V)4;rb-%PrVXuo-8^ob!JVQz?a0op{m_k*B!5LYsX7jbNXV_)mZp>X?I;=x`Q zD<|kp+GWp?9@v8ir8UC(=6(Du$E|!lG@ZG3+sJA_jL<@R(@TZGTP{t39=tY0S&XTFX;_UjJWwOZ;eHOG~pj8t{pP{VaDMILfYem#Q6WHYHW~)X;Y}z{<@ghY*2jj?? z1e@yeW|TSnsWxJ*Bg*JKr@7CNKZETlxe|10N7(|c*gWYVxXk8gj7zG*rKGdma-2Ar zHFstC0oS9dOdD%`g)7XlnLS`xwhXZi=scD^Tb$f)iaSx0_!KV`N+DaX>^UD%Pp>I`GAo~ri zv&i{-bn{RYi|HGdd2@UTR$*7>q+n*)5SsvhfHg|SziWXTpT5QSnuz8Ww2hK299bd+ z^(JKCNy`3u(6jK`v&IDD+qc2Ddvn?jOf3D@Hs`*4uF1$CQHg;m%k5Wov7TPS)yI&H z{Kjoi#`jw|`RWdp@qU_E#F3g8qUnFKOWphk{VoV(*(p)Ry(xA-OcE(fyv(+1x%{eh znn}8$1?d6&>9w}-{W9!rs*%^jgcYC0MIfSJi*?C)?}(8K`nR{|&cJ?@fY5Fe_Ue0~ z?cEt*4oigf_XJf)xh08w>Jsit<_zx9c^VfSgP#pJ3A*R4-8xh>4hgI-NQJ=AgzK|* z|4itCn2`$Wo6A0Mw$9DBvKxOkazIqIwu--t1T&7j*$zQdy5-AbqUmH$C6JfWBPsIfr zqz&pmgPzXax&>}V*tcGTtfZK)I(%)llj->+S+0kLp1)kgCYBd2D+s&Mp2=)@vn!ov zB8xZ{xws+WbdoM%+m~__9g?-u>Ps<=JuiyOd39;@5LqX~QeiXix8IqZ!^=~}`Pv6X z(ZVaM{I`zQW???mXUsTNl#xt(;M9f5M~W6UuXsbVWHzY;kMuqfDztn>zl!~pmTOMe zdlY3M5fcVf34;wSk#or5RNwEyPvbOYahT2t5VQe>qW2DxtGs^;$(~qnGt_|T_0!8x*Me-z198d z!NSKaOxp`M&fRtYh@F^`Q6Uq`Zr|jdAh2|7+hDpN^e=C4@NcRgCM1dHnJryoQ8BK} z^*djo(Wf!8katBmHn|-e$xgsDE7U#0k<4d{I=e{%LIZZd32W!_UKPhH!%1>N}Ta7kQvgj2&on2K92%` z15+}C-6JGFxorUw2QWf_TgB8K>wtl?EkAPuuuVoir#*(pL>{5Zy=^R%sz1i56V<7B zAcNchV{cxcOFIil{aEXd#l_veuO#TJxr3 z)?YTMG-J%3!98oE?7{7bu|YBOE2uW2#xg$L8Q-dLR4Fvuf&u-oDU5|$Qqq}g)a=%- zdDiEK)=x2a2#3?>4<~cPi>aOJy*bxIlMtB(jwr z7)a#ES5YWGwywAQjgAjlXQ@Yf$b2ACEj*~8X7PK~sp%kfWwBf?(Qk5RiBHZ$K?$@O zgFt5bzAQ)B7JLuEM*2BvE*6ei=_X21 z3sSF^+4ZjkSAxt2x1}(11h&O`&<^T5jbEp#OM0DQYb}S+91yx0CzBd_w};R$iuCad znP!qbM(46)LFU)0;Zi$kd|1k16)LfO|J+l7UhXdU;~^%T&oSS{tNsAkaLnEHzz!M*|Ucj0f&&mM4(`+D2S;!KGP!<(#Af$DWUf7Q?MY^Zigbv(lKC zvU$6r_M$+Tv2zuHF2_eUo?9_?El$gp23xA69KsH1v$`t?hIZ zGG^`J6Y^@Zum9vtQ&s-QE!@$;Z+9$d#qr?G@0N?}P}^y$wDuI;l;}Hp+TWaMD5Qpr zyGE7eEThQRp*_j~8I07{72NU1^6?;p`k4o^f$ORXNaP zp)Rx_cAcD<$Kf<(X3$z?5588tL zO`=;UK22&Ia@fJVL24i&dtl#}?;`<3jZ2gpB_J!iHZ#g{3%xE&R8QLMLqL@q3u7&qDD;meZB+>r!G*c?o)Fv3+T6}b{moAP zD2VX%($S|M>9)zz25|F%(wPG^gYBn}%h#I{asB`E0Ax-Fx zjE|#1q!dEpZ8&8|DBp7fyRHM~T}!2jwuYx03I@R{=;n)z1WkwXN(0H*yQ*u*l#={Q5`;+JfgvxGL~@KqeB08cMNO;WQAjUmq` zl4zd7GZHFqHQzG%WijneR%{S+0~PY@;bO|Q?{@2VB0=)zS0=t zNyGrZgM}593(zW3qYgZ zA&5FR)9k~tkyYN|?mx_wk`avc{NO0c$ut)rc4U&^|Q8Z)Yq!yv5By5A>4DheyMM)j!R@Ve%ThKyxf-=<6!$MNoq!ifXT^?S<`bh3)(~fDxqU;#6CXNkGMVPf8-t` zOir7#u$riHUOKZqTZrC;;^lm?Ul08-aT{FFX<8b*lzx=5l4*UV@~fS^+zs zz9~gFmKtZCq&mVpVa zq;<2$CZaZw?s&Dfthfgrvl_E&`l)hgI2-zy+DW|gS9C4rpPFX6#0v3u&Y`jxBdq#I z=0!7VgYM{UW7>1e;?}5_boe_f^;EF!lF=Y6jHQ>VGjqA8yvgZ{o5e|`F^j`iWq#CE zLKNUNwT0fX+^L)@T1i~1vo2b1$B?Jwsa0eVSFxa}9q|H(Vm1uMSz?1lzSXxdN1>v9 zV@J+=nK-`4#H`AgU6lvcp|K`S?ptkJor7@lReUell?AGM4wM`>ju3=ooYhtNnCQJ} z?c??20^gkjo^qlod;PLo%IQ)%=F!ri3hNe&A{2FOz6PdgV^($Z34&`quYG^5H<;W@wb=XbA( zD|DN>igF4!8xNx1-=^pm6>9c}UC(GWijIcPamj6uz~-q(;!0lBzLuSuqC#$0+&qJcwmpJsINvrpoS{tYJ=cDq zCx!U!^=#IIS5t;s%%S*Oxx+~s?XDA4pF#XJ)OF9c3**%m|IC)Ml>80@+Hseg84HGg z(3HdkYw<&Mi*aASiY)xrE{@^UyUGW2Q>`ev!)^o9feWy;bw#JKX{?V+aSSHSfYyB= z%>6Af!>qP_DjQKw>ZJyGwns(Ce0RTajwd3bo?fpE;xnFXAwaeM5wDu$U6z8fgh5DR zhsx-eqEboTps%XaI_5`F;a%k<=4OH`1vc1U0DL2UjmKYU0lyk$5m^phY!~<56lOyEFW{~u6F?r zBH}?J%$yvZxYUnwE$NK*P=onG1|(W zPYW%@Y(V6KIng)%{8(Ne_=#>HB;F*EW-C(9fOZ(m%6SV>T zx=;I!SQT|~EyowdtHku zozttR@_KseCzCXx0|)6`T+FD=Wl4|c{3G$HFrw7CgxVD2sIDVvbdnn=iy#jtm|wjI z6JJxp#IMLE3~3~94k)FwtLE*FA_jVo)nXvYWsmY1mkn6IFEx5(5sc^Sp zD$Z^0g%XsC8ygi%h*k|;v_OGEeR^+C$lF1hX+dUVrd4v-ao7Yr4@Tuz8%DV;tUbMi z6E8wDQ`uT@P6a;-g`0J0_sM$1#b8ol=H8axGF?O|He)UMp1xA^rHNFTL5cDxJIftz z)~nf$>U*DBUF&6~$Bt6Rpyt1X?U5z1@+zn}E?7d&Z5IoTna_8^UeLVcQI+zeKJOk@ z7Q6h563wn1Jq0WAOH*J(9E`NP9Cm6C2a1Rztj$6DJIVYplW?CCH>i@s2=jTpqQ3s=Ph}?SMeF))R8LJXTGBv zFJ~!Bfk@az-%w{pzTX?ZhBPzIFlG16!eL-VprN9IfUGL;I!Qg5vN|Q*XK10LGXbp2 zhu|+#6w6wNQ#MsmDGA*nm8j9L5(8wMu3|H-kprWeCrv++b|A<%1uL2!JRckAzK{7N z7`Sp|iPhsG>j)440%2#?#6f(%Z5wfiON66304<0U;`yb^;gK$3u+N+=T3^{cg(ma2 zOIm^CO9dWum^@M$6RZZOetQ)g0>$1qp)sRZkqlS#2kPeUGDOE$SvSGkk+WdGDzLp+ zMqa1U5Kw%gcGKZATL9wHz`+y|TUS{dD0vDSk4R^o6RaS zzK&Q|pSNUdTLPo-g_?;I5mR1U@1p?-Tvv*{SK>}DE2{BF4N2*z=b9%BNbQ(7RS@+> zM&C*z6mi^`<=CI|H+`Ihe6dQR9s?LLnOZjK30@AV+{k^pnM97~4MHF;{Bj?BA+tw; zvBA?@wgD#b@KnQw5%6tuEx9U_jRd&#M_JrydT4Qt}s%<^0ELxL- zJ4f==PfW1QBp-R$R%!6Y+%HA+dSb0FxEn5PNwDnxR0D&2XMIpX;DT2Zwt6QuvsvHH z5wQ4eWM-no5$W$JVK5G;elze}hJ~r*cl=-{ygR<>b9g}?)>jEkkW!0nUUKsHi@#at zUP`8$+H>$4cMv(j@YM^0dF*n%z|IA0cM&)5+m*A4^~mr*mG^A_JaZR|ybSxc9b#)l zL7sHC0(_w~R~zBf*$~y`i`$oLPZdd12HQM-VC(RLLlc12)#(Jo`o;j~)6P)E&}rPAxecwUNM~=M7b4A;1wWMw;Dn&KVJRIGqp9#%FjT;; zq_udhtCs!Y<3q3%8s*JduM>I%%w6ZTkO@fayp9%xkvsc$sQ>8OziSn zEbb#ulhqSOth7ikuooae(8gGAb>>uxJ`0?-BOBWn0^(xp@BR1 zpY@WsQEM;CYvfbD{7G`Ka;gi_`5oCLBXiZ>uj;YI7A|Z>rVq31=#2EB5Ty4@YAr7f)N z)u{B|l#dFce!S_z-Ow$nm;|S>aG(eTY3>|9$!*Hjh;o;daDx#4!v+tDZ3gFQJMV#9 zGLrgtt1ubFX3NXWxnP&=h(s4-EgP*V3u4lTXB%1yOoJ#(9i!&dja9MbB8&JhtQOdk*OJz;(O&ZZ?aA`MN6 z6hu0|=Mn~!-B#W~PMYTDbZSvqj(36LG{I8h)_n!jK}ffm=+Ol8n9=*Z(VTIVFF`v{ z(HNOBL-2H;nM13e=d$2#F2C8UtZYD54Kyg!dFX$`C~&v^z#A*)k7KsiBl=EB@nX^U zY8Q4T6x-@+WNSHJ7dLs^Xjq0IHLU=T<-cggnBBt`w$tK@05lDTChTxsy$M_zh=1f; z8Z@z%^{v8n%e?bB@bmI;>U3&@L25xW44emRgtn=1Ev^fN3z$N2VG~iB*srBHxJEcR zM=LVkr)*3e+M6%}XL}-S{rWJa-Gq)g;F9vD+x1wYjw@l#>NT<;4jGKKp$Fx#UG!G`I6~h_3U7YPgayfWBJdgIxlMJBP}))>a;s zyZ;N`xMJ(RieZaB@O?=n85V*30=w_Q{&=V1I7ZU1y-F~B8PS(-a{c?`PyLgN*%&kQ zC+M?0Ztp3HY(yRf6}p&|=4-1XAo;@v<@D7(SOS_pnECln;F(gRA0AlbHmM6G@^QQS z(ZRdbUmNvgq`Cy`rzzz1AS%wn%~7P`)U4~lP(w}CJtgBbQHiMu9)t+ zU~=-I<}u2hxe;Y1$gWl4CU0>ep)Y+bv*y7NVvSg(RQ>#@&rrA66`3zWr#-^k{;)!( zVve|KmSH&eNqB~WY>IE_cOH70I@}t{@ql-|q?{wdMQO9A?$0ac_8vPspk;waAE7`J zprHSeRoY&6K~qCw%1}xwuZp+2w(%^-F6_pWjo>2c^P5#(ANFZq+*EdnrY~TTkT{ly z#{EP+$RhV;ofXwOD>adx;yVo`bpw*SE4YUZXu=aBjuaor<-zUM0f-UhvHBu0An>;!QB%8A;RVl3Di>k~v* zubiC_)d%1Msrx#eZE5nSHbHxhHZ}LqS7ekQ7){u@lSwO6Jf$umWH(SJ8Xa|QioJ7F zj^0##JJJZ`$S6 zK*dtCLePA}>tLhN3XJ1jM!%ySd}S#n@z7V5#@x^3&6L4khp{y1VbK^~T#nLP&$|#` z)dr=sh9!w(-hNXDxo#BS)UwbK96e6%sseI^cGhNJoPOFGaTbA%dE7D?B89A?ag{4x z+cg#BH%;j&12yd~vqG`KMHlFexlG^u)CcGNc$M|?llNyz31%1As@^H*3VndZN zjSN9Kaz+5!^EXIERD5AQ^hsEojp9aO5|wnLTJ z1C|W2zI>^3+$K*dpDCez%FZxwXGD=o1%5(kqvOcIs^HQ*HQkyVpXn=vFkn2}R*@AN zP@YBjfExoGw?nYNQTcI{Vv(=VzdZn>na?9Ao-g1HoNDUI;{oVrg^yu&n&rO3M7mfD z2wDW`)Uwsn5s1ar&L%azGhHfIC8M*Cb~iT&1qaKZ!a2WNT28vyF8iQX)CYOvb;Xf8a{V*$U#T-S&OC(((1Se%;;CQ}o=s#yspTX}xa>RA57+ zV_}am%q(AdZlh`d80%N_GN2MA7?zN=(hgYFIH4Z_~GU^?;sLV^=#Fy}3~} zCFfgPJ&~_kd0lhUF23Q)KtJYt$OfD1S#vAru$g^-(PwNM!<#&WGeA9TVCJR8%?6$qxY~~lkw$x?0#)0VFS%vn=Jw%r)K;HZ84d#Ui1zUe1Q>odh>#V%xCzxlwh}X4_Rq2}nB!7E zGkWxB!xfA;zc1__j3p1pE#j7uN=8X~x$Fd3m|}b^-{ryyDwLaziVtmqy;lvPiOH!8PBp zVZhKevl#}bDn8#-xVo(@YLMbCW3XX~-pbABNz1!xxuvz-t%#f1e$HE>F3>R?c3%3t zcI&8}jYte^uuEni86d2NI3qUdYEx$cpYz4rB{ZQsR%1q@$mj4l|6^>wPV@EXcsDkbNMCV=_EzY30iiXJ{%SCvYO&nJS8?KyB}pWTlUzk z&X{&CQZTdOQv>}QPr((Nfm8{^T0I>jb5*|enbJ1Lk6Roy6RG~9?5|cT1*kU@<=uy3 z5YH$Mwg4AbCE-J@!~|Rvz3~a6tL^HnuPrwT6gAopMmpzUybhfP_EfCW7?q_ z*=(3~y4#eB>ac$AoPJT#4;XYZeVkwGVaCG?nGOphJ#?qPR@7*VNUzUE9HI#@rnopZ zBb_zp>`@@9Mct|^j@pG}snxrL10Gmt87eh0AE}(BO3DZtnr`ojxmWm&&(t{+IK^nX zb1Kur_+FdKUkLEpp>GWKtu}WUn6gIRnOCyAZ0Fxi2OiYwkv`R}~_FRUqRAX7V6;%8ViXnQH30Q`i^-qR_809Qv+LP@Y|;APrSOrksaTVP+&+y1`BY3u9?NiHg2XHknP+AG>kK(<{hUP`tBHu6DyU;a$0 zY#K0U5yBnz?$2&ri{`exO+Avf7Q&4mW2!vcl*g8EM&q_(j=2ryb(_+f7naP-Qn%0I z`}^V+?3xBg2HiX>@;R`U)694*P0b{1aNmoeG=6nE!Z4oU$nJOPsOD@8XsUb`Ia=ih z9+;3NqR&;=J;k7zp)i<|XD6vT!@iy_aPb)O$CSUKgkBe-KlL)$QgLe7!dGpXw;Nkm z5vY^vT~6@|X(KcjpH6zkpOHPkpl6stHwNsG^!4|I^9Yt=gq+pwt~DN&cs=|-!{PrK z{eQCl&B|^3?+#bep=b?V+WXHDu9(BWbu-%#1YA-&K}j`Zm-sU9E2VDo9En9Ez_0~g zr}jl8sB;gEkzZ7R4(XuIgX=7fYt0+ykJLc`LBA1Nw@4rsE@?zrZwu$|BEbfE2 zmi>5+gIN06n;1e`4&GkYI(!&=rRKy7K@7`Lbc-IOvtF!+Wp+PdcQmx^d5<>9md1ay z*7aSpv1A149iV3Pm4|Q6Fmqba>VNPR3==k9}El6&?=rgZ5)%8X_7o z4JF1s-$Ob9)Re*G%Qd~k&^$SRnsO$}!M~A;rqoIO;?wA<4R+l`QuSgd=RWvobUrl4{iyrv?d?!9qv^m zlq9R8krAr$06eF)>sLAASV|#1L{WBro6Db|Vh+#S`ycPWIv5T`z^< zP0H?`#wC?$f^a*8hVm$Kg|V5;v)U6&=&d$F^;h#DDg5tvFMp*~e?lE>4hPA1fhAu~ zg*kEPbBYE2Sq#7tt`l6Smqcr6(J$f+U$>8_A6PfMrms87vitcb0cI&!!yHK{E&1S_ zzVw;%dimK@`16BF$dRbmO!%lMcxPTBWcurT$AjD)M2$yNjP!19c~fxFhU()lROxE2 z_*X?=F*&)4mo<$>(nBn|LES05v0mNc4sP|aP5W#*xZiy$&h zl^bk!xQX(y;ER|TJhy-y+TBzy2>6rlz}W61c-a-9)_UvldptEZ&Eq*>mG9U(>W5ot zaHXadY-}BVtj<8k_eRP;7@}QGcpo|be}Ubg5JYUwLTsGz<*M2OF~aRO@F9Dk-;z zKh5nz8Pq}6ST+os*e4i|fxYNX4+&=Y3Ab>5-I_?NswHy+b-?9zA(wU9-7QUhXJ#6F z^dvB7gw87TJe8GAW{}*+|hJ%Ae zkYc}Z<~o5JHO%nypMtn{L?0&>D#ybmo|ytiwI{3;VJ-iEu|+QO^HtPHo{*ubWJ!J9 zVOp70XFJdwIvC75OrCKuMeORgQP)99zoPjka~+8Td-z=hu^?`IY=+V4&t8S8mm9m2 zfm*b`M3rg7PX;|Vi2B$za8OaXaP@G3|7N8M;I zO0Z^?14qlhPD>b(F}#-|@dZg4EV;;2PmDiwL|eo8^`OLrT#rhKw)=2n*s__m)=EnW z0}qnS+oJG;-B}lSWsvwk^+{_=&@*Twjhg{#pSP}D&p83?s8DglAJ%#R(0*Z-`JZj{6Vbn)obeiuNf8qn++CIXP7 zJD=n*`-M(L=hr+lYEBs`4n)~o;c~m!3wAaM<QMdudH#7#5+&?X+aI&Q^k>MxWMb0FS{)U$G zMtz_27$g757tKR(ger7a_F&2m#*(Su?3%54urOLNjXk@3-Lb%=63#tIOgUDk_I?#_ zEg(;+qEQqnmFjPy^|z-G;eJd~Qr>a5bl;gDQDVeZKl+u<7u~YdA<;~qR1Y8ozFZ8V zTa3*`Y!yc-T&SBQge{bVz;$dC6Yeg-gWl@|Fragu*GZ1~Ygw(@zk|v!$xr!nCEdW@ zE@BlonY6*7dja1At$J0?IZOH>9>)z13k7!4I?sk^3+|rXweHH1jOX8(UjT*IUyG$0 zzcjQhZ=R}`oo?HxJMwtW-23jXL#d<_>lZ?!pnLOz4xsbE)cHo!d(MJtdw&X14IeB( z;#9-K+6^i!K)mft>kkRW;JV|R8x`oC;|Naun$4G$GUq#MmL(Yc%HQ6Lap`N`5O+%M z&GHf|p`(L^>T&BDw3BEMyytMf2{XL2Gbm)E6bCV<0S)up-*mAeh#m&u)?&TlWHl!qq%n`o%r!lg1UvD|{A)pS<1<_ZL-H!R!J7aoq8?Zc!`X7am(LRKYq|#`&>X|=h zM*o>>xX5-m%U(7RFnh-+t%SOHjjbP9hv;SZT;iecC+Af+x}H#YN+@nKn?LcCbq|Fa z>(oHB6f2vhBA*anKAD#bci`qeJpYrhd(#Nm`S&YsN-jt4#pOX85f<8%q%8ntVvkPS3O}1|UammvG_0Y*4$});;1XRjpE7LzL#jB)tlK#5* z?mT0dk?v$G?JQynKDaPwm1&=RNW+?*&p*+Sx8e6LDv$FV;QFMVg#yCWvBP?>=I+mQD|XS}%*(;40si*&pk56@2@L`k-8HfsJ9zE}m5Yo#Qk_3CUdg znegw?=|a;Fsy)ABxs8Re<(m!@mLNYruL6hWf9qSa=t(RN!&C@Rw-9_>)M&;oa)kbP zsR)Omz+a2z?jcV?g3C$r*v#fA=l1n%cjlSEH@q7^Ns;m;+FD`feCtn}Yd{T?h|;eveAX7EO> zWYaN-8VE=JlcqVHBHGT@oXu_55OZNi(~Q&rA^p48k*@Zm7D9f`Te#IXnib&2l1tFt zuyFAc%n#6WnjO%j!qrU)<*7%KItnsqeSVt2GtBF8a}>rxX- zZIB9I17Y7b()|l--p3WMy36X37U=neCvr6eQclC@-A@E8e?)vUB}Oq`^y%uP!3j2OeS2e;oBD37oz*X`w@IPM7W|f-i55pn5c|Nnq%Q=N%RQksUAWf)pO_6@DiI zk3@WBCA{&E*njCs4)u2sr;+SFOJA}{>Y}$0hEA8Rk21FJgp@nx#h;-9MxmY_c*WDT zzP@&(xv-rX&Wu4%{q4r{*&OO{#4<=bOwgSxGyAhx5R<6+iLJg0q(uLNhyuiY@5PnN zCKn}>M{*3`x!&@Ve?Sb@N9akcs(-aAAwBD(d3f(H$T6^8tD7EFfRU5_V>C=E_4n~f$ z9`UeXF@4xWz4&-}Q5}DkiwMip-avFZ8~TN%8H%bg%O3-_sf(`-jK2!e7kqM5_BGGJ z@&OD700-g25r1BOaDajQxcf>Bk3xq&vH;2P^!7VPjHqbc`O#^?Ia%8PBlZi!s}Ba5 zf7{lp)Sk%fe<0jZ`@T4ng<(1SUS2o^VLwOpMCUo);---uo0D!-xyw;=y2G5C$c(^xk?TAI?|@ZC4|jpEPB zJhHey!i)9m_q@%j4Xbsj`aEj1wGoG9r-;BhbX?2&tPj9!x%WaSLSN5H=42Lvl(3uh!2|JD)^G;QQ^I~8C{7U+VHdR zKmba-;!g&q)6k5p{0gS77`h#&d4y_=4Oq!%MGGeEDHcJd-!!5qAPGSWYSfDTdGDYZ zut5~Ygrg%}7t}ZxmdW$|#z*&wOA6?z3t)BnXDZ;82pG%)puSO=iWzA2|Ceg%)jUUOcUGMjllV_o}0O$t-L3z-hYALM*$1 zPXKsL=UsW-2wuXsLZH6T!iA$etw#^r~53_ zoQjUHVJUl7Vp0kTOTL~mhA)zIGriQM)L7)c$~gDeG^RQU)PUn3)%1go5`3a`b_W~7 z{`~>$!jczDT;6GvCq`WlzDvALB{Q}BC%J0WP)-Bhw_dNn1^k$tCh8IHh3Xm~=bn&8 zo-7z&@iv^QHR1Q;e+C9Ne)-1;3);9g_2~)UEsIMB7+-b8(xJUW$TTLrhS-Cg%tjt+ z!6%MhBAGr~l7Rhm8P0q)9Ogfo3IfBhcz^wd|AQcmfi1cI_hSl zSVc`zo)Kl7i!t4=vKHEOToZ2zpF6Jhvs4Wuc@5iZ(x`{}CM>?=G`WZ*`*f@pLxewu z*Vd#d#x(vyMIgo#^JdD?+sCzy9D2pEYJzTJXpo}FpNQqTPT+tWBqa&%)hos;GqByz z*YAH}f_q94mM1|_*wmA?IxRWb^yI1mC4TWx9M0`C3%z-s;Mbfz0)E4fcrWav6se{o z7fw0qS&!7uRiW~57)wxyJyuC4b!5>Im%*&a!!N~9&k(2jl%6{$-slE{tcav?Ya z47r-~{BMHmCOH>BmIf1NXkCS{+WqK5zh78?3t;yK#uHimk4SP~S9;ki3^}YF`ijmy z>1ZMt@$%>Dl8wejgCobj{7h&K33x-buOl=#xHC=_>s`8KjsAD#$TtK}-^QkP1)`=~ zCOeWb?bp!1?yH4)`NU!F2Jpmb@nbJ6jmuz!)v)}YIC6D z-6y@w+bYU6Szb&Dfc64~dWAAN1x2GEtKaQb?SrjPMPE#!h&I@~Out%qEf2BrfgX03 zrdw13K+>5iDVskk%6R1Jzx~=++}_o6GPaJBIuLQofFVsr$_G;Lgt{Mlx65Nh{`u7~Ag8=mD@B+KC}F>QOM-l6U< zlGhFBGp7IB(W?KST~0n4s9u;4QDyj_06qqMkP}dif^p(ZkjqnLw@OJAzL3zJqQ8t< zP;Z1HbLj(TsYnjjp@sq@F!7ggN2uZb0`^|4I2hfDleh4RCwAS)Av7llK9OcDsAnD5 zWu#<|5*bj91@L~hp-tqv+_znXBToU6=^~u2a)~+*vkf_Oei_8M7kQ@Z%UnE5ehd0W*_lnYS49h~_Zo|H=3W_Kw7*7fY2F+)>(!|jpd*KncM5!Rz zq|4{9_H3}{qx%f7Uo3}p!mcBmogRWVqy3|0`+C?p3I10SZ$@4D`WKy?TVfP9F+4a_ zs!eHJ(>P$Cs&Vp-3)VQMz>u){MX}H2XNe_T_r{q8xEHtF#>t{L$RktuBw}q`ue1Ghjw15o$v5;8wF4HIAnp{lt8LsltB>xvAfFs>rE35IkCmr3|AwmnzJvf<=M7XGe)|s zeWutWHy?K;5bZR$mhd|X>X$gxfXCzMX-mzGQRw1ZY})Ti$5KbLLAUH*&?G7P`_l5f zt!bQ;O-S=t;>Z^a%8_Rrfrvp@GAk$C=Y^3SX0z`rH}LCpBA{-ESN z6qkr33?2;jR=JJfUaxhX^6U~COcP;rTYIlQ%%9y_rsPR~D-Jq75V^QhD_-@Qf-3C% zu9tH_ruVFk6Sg1Gk)_=;Sfj{lw42W+&D92XA>`GRkuf(#yAEx~X3(9*46(C83|tv5 z7t^)sI3#o!t_G8T0&R85p3{GVg{o&rO4SFaDfBw4^D?1OcyRIzG=nONV@1XtB0d8W}HDW4Jaf9-sA zT$EeaHYMGH7>EJ}f<+@Dr3i?Kf&r+YB8ZBlV$+?{HFS3~Fia5xGcYsM&?O;A30R1r ze)}HK<2lc%_j#Y+`#pc0_0x&_-g~WUU2E-que~?mH0}0Qb<5b$o4`wi-Y2*?WB)T# z&veG~cKROMvK7AAyfwp^(uhPmaprfg7~4nd721E@z;x-jGMQB+3uBi<(^6plPGc

j^|?Y=uKmV(dvwQlRJ`BYPXZLO)}1f_kt%(jIwUN~hr_S;s;UbTQ(^>R54g)exA2@dSsD?BRFr~N-M&7NQetu%FDvDm@ zl;zMTvT&J;e*JYsXG2-oW20xa@gP?XHbN@rivGk-KXr@S&d6=rEZ-4Zb3o2sXS-b_Qp}maYIxk#3j2A^Ul$mfn1I`0>0VqfGRON)Jw zm5p=zgFs^{Yx+?BNhEjaNAY4lnkF~Ip;fRwmWy}Nn%Ns*{ZG+G7u8OekuQ>m5_>!0a=4S< zu@izj%rD?V!1X0xI#m1+`pmf`s4~sjd{@38_eq)ECE!DqW;wd)*sag=3#wH)@CB5@ z^z9#$!%hRpwB#Sw%^Q@UJ5ie>U~lk z{L;FscZK(3MJ0Ty5qzIm%F!4UO94T!eEyZErBl1vTu=67fw@VM?)~J>a)6_dJfW{# z)aIn#?%=NDk%9=FAr#53k1)MS?Rv^c;G8n0^=A)rX)wIp?>{2WMXFJK!P)4U(wWkY z?T-0-Vf9Vj8^ER2=osA2>i>3aZM`ET_24xkJidl`3m<2PCiIddGV7aQ@M64r2TQ`& z!51b->2;u~FV*}GV(~hY6^#vep-qaPBy=6j=loE32YRe8Q!GPC%72#4da+=Qd~vXg zDjI<&(x7hp@B&$}P<%}g<`l+@iTT8?1YS~CT!&}7h@Op5431pXJp!b0uPhV)aFKO< zayshh@8ej_HOF#FEPVtB?np>{=P0ExeqX*783+(CdGuEC{&0hbLs7 ze?s0jOcQPa_~z6wA*ejwP}$V6YRsDHfJ>8R?6MD)^!U>5+t!LQDT~4m{l4!TcBr6( zo|s(MqFvEk<0PyU_llIo^63(|<-sz?UgTkZR;d{iuYOXdhaKGclt4O>ls_S|Riy-; zcu{{`cbxRym)Ujx38PRGV>v)n>ta}s`#Z^k@7cT5{ywo+=ZsS06-4*5l*i3x>Vmn?J-B-0cT_n7SuHKw+_jQitNH`^E(=*dcy&?(=QAR!g%kdGs^>= z#K;b(!g(i~)Rm0X0ldz39s}iJ7K|7OhMZdSkjWOo>i!&x2fu90{WP|AU zMIwH1r0R_2CljpU#X@#z30yWy0V*$09uqH1Ln0OE-JjtfcQiyLfq^fzj|PnFFpjCw z@4x-wNdN0mT^V5xirYGNTXt9hkS)jXveMT}6i$-4HNoq8#xh=-fWu-k$zJ|PEkc+q z?E-6dc~r6s6S#QESQUhDzwdmD-uyLv5Rl0;Az&%!n(``wSS+yX@}O2V))eyQg^u4H z(s73hZ*J!o4dBUeiFF1muwKSWhsnyaqN(Lp9(v4Q@dl0n+TSgxrB!mG9S(-)cDKq* zS7xDR0dG8!8t|Qe84Y&+QDS9dY#WRk`-PJ=ux}V)S`7O%cThjGo7+W)2|9*uaMG^^ zP8Lsh@#`VmYhqHF;u>0gAtKHtNDTtUnP$cEl2jq#RsF4E5Myc5)+fcRzJyDC^Dj+u zP=)nD{|_Ny(8?)8n}x|%=z8QnwCaNgLU`3K&^$l)>uy|E&i7xpr$J5qOHQxD>au@e zd_Gz;Iz3{VZKqN6V12h2YTDXxVK|FKF4a2_{RJwv?7M9`{Z?zMk74a3M}$}UQwWjv zh~o_U!v_R+!dIg&NGLqJknOPxrJ9P)eczk~tKM8{4;-x~HtzQ+?%1RMCwIgP>Ujyn zgo$yb0cmKk55T5IVVBQ6ijm&{!YnR8*5idt!@``mAy8it^$rPV`OldMlXH8ivqJO7 z>@gHp{SxtIgwy(9Cq7nwDJU%Do9k6Arg9KF&bhdRgE0Mv_K-Ew)g?wBrVu+EO+LMg zNlQ%pk!rKrH(bQ7f_i-V^HbUj&%U#f7k8I-g^PW6Tv>8{jRy@svrj@;qqYLRLPFFWQ3nJ354T^f0-kvQSeTk0! zV=z{4?z|>e_6o1`Q_6>48CZafYtRB@mP}1F8Wh6x_-Ff!;;UWw#!lfa;1&)6!#og` zTkTJxgny5TX$YOz;sVI?h{(>z_&*PSYJcfDQyN@wYcU))ON1ETd8Nj`_-f0vv8a^g z^;=in3(1n%|E)BN(>_B~^06Gk=062_nJZDShlBrfg8@9&ahZ0YPJ^LUqxx3osikx(pT)P#wh!OoArVvW1Uy4F-+z!vV^=&4w~Rt zGQNu)^~;|@Jsx$DE8X*=;p7Gb}(!w0)V}P#20}Cl|c?p>( zID(lMi2$#56zypnR{CA@{6a~S81Jg9@On_>I5FbEawMFhBT}W=a|fs@FX_D<$g#Y! zAiK=?y#-oxrBYeZ4srogE1^d^nlxU2{8{6xd{>U{J9CuBRZVC?7fI_Q_I8>s&3eC1 zGI9_?^;VkV7WHOBw?}^?v9%$M?lvT?L7JZ9zaa#;jtp42^n~{b3v-=$Z#z%ojQj)s zd4wr;;o*srsh-J=L%d>pmGZeH-?)eN#p-V5hKa9f{x8rnV(|nJWR+@3Oo}r(+6|#9 zdqF|M_$>Hgfpjs*W5#=13f#hJ{2Z;v2>qdJ5mg{2xv{RnDWoYjJ$Mq4&!JN=!$x=U zjHODR*=0FFobID_Q9rIIgOlq~Cl^ zshJHyeT^5oHl_@Yl1_U~-A0*ob4+GM*Ebuy&pAGE%eD_Ns`;A-^S1CL>rX|YBNg~- zLU-lHA@hG7s?x)FflkQOOE~d2K@$Oz440+q-#{j;=PDui!{{FtO!~tw!VMz(`NM!m zN*eNXT>&3*KQvq{AnHuj-(jj`ioLecAu5%FzX3oCINLkvS(UTAf8Jx?hxi$bdUpoDGaG3X0Sen_gr| zTmM!mZAQ)k-Hy-id0G4~n#oQ5yL-ycJIlCqkze6Ianh=!#%1Ua2UGjf_R;Vlb6VE}F=m5{L%q1>M|8u$fIw2Ov_8r^i_0y+Hh0nII znrHh(xdUOYb$6(G^K}v+@PjkFe(5b)fyWj6A?O{@Dxb`=uaVHJnL&u_hH&A;Ml@EB zDc--&J1Oww`N};%G!8Aba6;zwT@)>-$1i(ww)nrkZz}J9POkGW{x=DA zA=5NSzJ_`*dhyBCan_wljN*nXwU6+ckbpGJozjK8U;SPuN86wH>^N^Bo_VSU=sOJ2Zn+xyoC-`e5YV~`@|X81>nB>A&xjac2Hf6uHgAd zeAP98xt|oXyWS_VT!8dNI8Ove1W&FS3#db|jXfiP4+>6#hJwZFzc`%ci#C;Jxt?pc zbXIMS|yhJm>}5Rn(YTSIxAfy|T;KI``KaR1qZo`llrk z!ME}1rt@3qsV)6hYwNtw=8=b^H-Us#73xC7fA(7=gOf1_NAEgvpbE+1Kg9Sg){M1@ zhf&D6ifTNuit_ptP?E1Y1Ux@#_JS>k$2wa3 zNlaGs(@CBpRLTe<-eKjdg^DAEQz>F;Eu01E59-uR|9dI^^1BjT*65@gm;}hef0sS| zy78<;vR?PWyL!H=F;X|?xT@78-*jtob?%X+GwOkuStezC`H-oC^S`|-KI`7;{(5yu z5c?`?wIhZb%+G%Z_)E)5O%L$IGViUw#4^fBh!QGfLsl=j@Qu6X}+`@x3{)m9Fm1{`O?7JdLV?*s52yL_jG) z@{K3=?Ux#Pxxsx|I?3B`5^u>{VZvLreBbJ`7`@L7+s1Ur!@T>3^=}yAz})RSC{fut8k_4OJSwm~{8R@@cTA^esCjXSkpAV>mY8|rv2?QRSD}l+LDo+e zGOc9A2pDOZ?!iC^&-C8=Bc*qM4}u_t-6zQO%l*F&<&B$Zi?1Z5i=__?eh3ORc6Rtq z^01AQKwbsw)#!gt`1%j(hD>*cM)$o;Y8?=#)Z1F}D-HKOnMMwn&OtU@G-^!rf&`gd zLF8%>sPX(-?0r*~RRwrAy}uIiHM*Fx==c6{!#L72xh=~~_YN0SDr*)KYcux$+ItVM zCX?=O7?3U6^Z&okcU^myl>45!&-~^$XU@!=nYaTJj)04KQ9|5Q1^1&E=i(F;IKI_}mj-+h(`RD7BGp z)>m*Mhx36HwK`qfmz|eeB(uWi%!u~Bn%?PI$}lPM`eP@|M`skQts6Xrc#^QXNhSx&sqWG?Ie+e5>H#&Gu?*gOiyVNm9nBehAbtiQ>adETaCY)${*uaD3 z@4o7K);)E8OWk50D^HHk@jFkE zw6wvPMJjXTUb-O|sUzBHz${4Wni@ro7|fCvPaN3l&Z{7%zw7YyP~QH$qTt;x7e`e? z{SfO4wyp(dm!xgC)^ZJ(#XJ)EhOgU0$cnf{)qWWN(5Or?Rq_4GalCYn7Pq5lP7r-v ztPV_e>H5tA9Zj?%@tn-CN_%={-aHCDCc)bM(hB2|G(16lgJtb5_tYrSc7YK^M|XQC zT3sND`qhgY@I1pH!PJ`ZyWwiQX^hxZ6;aZ;SDy*GNT%D|1aZ`Rv7*G*=D} zV?DE5HXmNXjM?;(;Vdcl;Jsfw_Q>0NteGkAR8+p~be+Les<7L81kRwNGt#W#z&sUx zel5g_xivQ4=izRD|GS4n2KQFDHyrhx?mxxz{W`PZWVgOo;x290BSGiS2tV}|H^f?H z=D>H(c5{3-oqO>p#87nqBEw~GSIL*>EYM|frvRcrUBAk8SeO$;4=>(auysJejvR_H zB)(#!lHgl!a~!x?sXnV?d}7hU9OE_CI<6DdeLcZWk+5f0y~S*+_|X#N9hj(}fxupZ zk+YuheaG5nIFAAAc^1K`dkf057Po@ZxK4iBBeH`^M@zASiu6_HQsIt(<^=nBn$ep_ z)KMSuctrT0y7dOo50iU~3?kLMM0~hzyp&m~t6xwyk!O7L?zr&hbf3q2P?&ZLYSA>N z2OT-X((bTFjjYWuYq4M}QCIKh#-}cQwF~bctj;->-EZbBzvy8q-yQI1*~0Rg&mAT? z(P}rR+)y_Yl;XAY;ha#-dt#Dvu}Wb&AEUUWY#1fT<2pVMv~0CiW!~bMy6^c5M1_YQ zSkjy`m1gCV3cW0^V|pC>OfN`~@xyo66H#uWWq;Iy^*m|*2*%w0y5n71p5qlC?>x%7 z;8^aCA?l1hvx`DFKB1;LZZ+g_8&U8EW@q-ie5SQx&2(=1y2G9X=Vj}+(T+~`So)e* z9FA?XlMZk63}E-9u?KfZCwv+dV#jD&@51q{JBt)PWiBPlyzto5(qwV3P|wIwI7rQ6 zlK(wZ+2n8+dGA<3ORk(dEJ8VwX?m;ArO(1>2jUQ`Q3Id)Ui9ho4(qTi*kLnk)|`75 z9Mufl^Nu^v={QQ+5{wp~HhE^xH(^fbB5`;sO^=(c0*T%yB5p}h*JclBmR?(YafpWV z)6M5b?Fc#^D}hgQk6II!CVR4{x4|lq>9NH8OhF5DM64baYN?uh0RC0;T}d^og<}9; z&<$>Xd!ub$4X}OoHnk!xQF&%m8VfdKQ-||zH-&sWQ$2EaWn8ygk`ZHcT&~OE=(#Tk zMCrax-dQlD>a>NwpW_QuywtPKEA568KO}B^UTqt-VE3K1kdPGdv{LSFPFaa45eX-` zX|?rQX~SuWB)@UKZd+r?CL`N(`}|SdogsXgo?=BwQGB!v>C?)=9B5q)nE^jOshk|- zUXHB^da~ydQTD1|ltxgurgXzcZhCHu6*ifR+m{(iXYyI$mCjSqEe@AX+#v=n>d$cJ zx%Snz4vAbV?e=}XB>yFZp>BpZvq=H5E@gj=8i_@a)Y5W>^RS5x9P-k>uhw^%Ww zj*AV2d)b&RzoZAEk;}^CEgB0V3vttX!xQz?NRDTQwfuCDFdLuJ^9t5`+4RuLQD$OB zb)vM_Ok{?G1jOuk*0!35%t+!nP*$u9yk=|04mPW7mc0EW`B!Xo(dboak>T;|@u?(7 z9ae=8dDp1zvsJzApQrI!f8c(seMZSRdXJlHYl34OE-_CvMS`2wQ&`E{yS9!TB%{h; zF;w{F+#VU~bC%*?TD;#s9x-6}V29VYB?*pduA3KfD2#u>lNa}R4h^XC+?swBB9o$h zOg1F3uKx>z$QYe-=qDJfudpu9anYbax@fgmd+NcFty{6#ao3O|0_h%0B9H8Kh*8S= ztqOZN&lCoS$c zy_pDWeVI6$Ck)r*7%M(K6Hq{}&F?BqA)y-TBw$cq=lNVXu>cR%H~o6^pY%yJJMQH>-p$4GMPMyop7kDqBojj6Ya@mk4>1EJ6_O+{c_VX_u|N8t0Lo zWO%Gy>gE@!$u-H;9)mj{N^5j@*VY{Dk6A1zNE@A4&@e}@BamvsGWTwJK7R9@?U5vh zucOAG-{%X|57i_c10&y_swXk>c{!84YNJ1Em>;-TU0`^GZ@ak;QQzE{@58poCp@Sx zv0lC{Z7RvQ`b4-VCcR~qmWH8AalW1{qz|s!W6k|3e&S|rezxiIFiUNs&^ZGmxsvCyVKjvef0g zB>mOrnRa=sUcA85j;#!u(=2Sl<5o1UZd(hE+&vg0%XTw=YrjN$%fQopupHV!o1XPW zJ+-EMrP;a<3aEa>!q^!uWHi}dlX&iNXtCo_etiz#gOi?9Vc_uP^UIHS9avgnHdyY=`#FL!DEZwC3G?M-kzIF;Unn_cKb-IkCP^mJW}gy zc9}=kRG&7yP$5NKbK|&1)->cJYE4;M)|`DxfIHDGkx$;4m_RyehHkxfE!1B(lWS^e zosW0my7u%rx+-(ceX?h-IlYh5>&;K{n2LIClk}X^u;z2v7lx1?q04v4a9M%vr!fRM za}}KeMncaz;j53=?n6tlXM>V%!@r4J!FPqk@AA4BJUq|rF9K`qlH?nrow&j;eP9)4 zRIZfduVn>O+{#E&wp}&nN{kwb7>!BP#7A-=c2jqpb6A&domu$0U42~Xkj1JiwW$A# zAfFk#Ra*ragJlD|^qIZayRU95t>eUNu&sD|36Eu{E_q*5y%&!c^|mzNym`_*Pmfj> zuPHgma#kk}`(nV&xj)?6$4qLEFsEKi`D-2lPN7b-x)&$c_B=5o^b9>sypJ_IUtGLm z6m+E5;K2C;96~(b5M{VegUsc+N=Dj*M12(LLBdUto_(g5du$&?qah%6Qhgs|h z^Hh!{9d?y*PnTS}D#OLAFO|evXZKN$*;_fx`f&_(wQ1gZa&)V<+pg!n^v@KFZwS>Eu;6qnC0$JYHt6Vp6gE(ADg8 zwwnz0lK0B(h)!mid6M6F!j*OMYlF;@CgE^Cp6Ty)YbMMxJI(!tS%wG~f+at8s2j9%mGR)^FI9yvl#^#e~)h{S7FRg0bbk8K1dthp}Kb`A@=$>&M zHRAZ%>0CJ~%`MjHB-xg}%k~G)VS~EiJ)X|1xLMB#&hIw`kGS>Kd=L}DplA3PTK6k_ zapoHo6A`(pJ?XlWR{X&hY`pDGc#FGt6XU@po!(SWIiCAk8OfgcRkgKM=={{!xbX0h zxD+@7S6$ywQJEU_;QU_dT)h>9v!Sm3qbm8rV=)48G6ZYZJdM8VJ<7f{L*s;iN`m&w@J7(g^JIXN};ZhCrVcJ}@I z_s|j2IUtmyq~LmXb_U2aMczTO@%4vy%H1CXN}2)6fHp|g{QUgF!ongD@UbvI4>Utc zfwrls$%zR70Kgb~3uKJgNNA|9Z)j+2YHlTUbawX*3=NOG9UGsV0>wfqH}F9^A&nnD zeOmhbdHKtiuV25e00AFgmOn2oefmf#3S{~C5#(3~IiM_1uGMer->GP}(9+S-(=#y8 z)6>yzp`oT)|F#OAgr1w9dp|QZ{&skvx2vPAB|JF5-#;)UA~q>Krx1azs;MIo0Wfk` zcW>XoAb>VL`EKU@+``AD&tEoFQ$g~5eeK&SKm&>evP^*lWNG=!>N-?7R5Sx98k7u# zhL)a*g^iPoo12@H9n5p+!F?b!G+VX+Y~NQt&5rex>MM)0Qes86Z{yo}@T94|dtg*j zdUjq>2@+j}Z)j>EwRey^y8vIqqvKQWW@g`ims=9{IJ}@y0^}5BS&r9<&({n)XC)?_hwN;| zGv2iA=PnD&=V-VF26($WSzob<9@%>@x~!?Ay}2HTK^9~rr(_nDSCpeFYDxWX-VDEa zJ25`oO==-^4~wJik1^#f4I>i+ z^@r}3QMTiDp;>5rZFPBRQ9)K>u$Oma77|sEo?e6}kz0wRzLDXs=K8vNz+5fpi*2m{ z#=yu(e_IW*sIauWx~{o%XnbmFVqyZgmdOuaX`n7n$IQvULriRk5HANK9gDEcAqkeZ z^`wuC%-`Bm?u!$wSiaMgBTzissU9Wd`OO4gc#XH+)e%TW!3?X z(h5+O6=+O-8@aQ4Xm)iA9UTqTcN%7H0g)X$g!#DGxP*6$(4bxiG|;kr2%Dna&OV5I z&{g3-fBDJPb11|M9p1<1rvlfUD#k&BGmEQRJb3Qr?eFjDWNm3~dE@rYt5K95_m#tDHdB<-P}9a z-}h#A891%QFY8oaMv$%|==46iFDc)=#OX)7x9ux(GXXTZkaRg#xV_WZFAGw{} z+f$c(gQp?HfEgL%QmMmi>K&O-KwhDltuHRiMwX}C|E@Un2rX~=QVa*7{4dr@2KK?E!@HZcX3U0GM`wtEO)A!9B(_P8ENqeS%t|CylKa~ieJt1s=MWMePv>0 zKj_`cq^4iTpsKkJO0#V}c<94zjikf+uT1@kj>8+QpHb%Ey-CcbHU)^$z^}>s_ z3aFgbJgR-`vBL`=zgG^)O3MD`V_tcmA%&%R9CX z=E^)s+1}3FO9RT9v6QgnS29#Kjl28PUpeiqoqw(GdE z_O;t5IJPUEJR~8fsVdNiCeb1 zSAeOjD)1J8>38VJwLL^mGj0=?Kdz>!s-&rX{NMq;^2KdCgtl$TOZIr}>9Xgn8L9vq zt4jAJxK%8t{;*0T?@1N9kR7}IFdgrx=~=~(?4zUJuf!7A$08*pm@+rH)9Q&wR0gVh zVU>oJmxptk(9Yev_w3mz0^FXUFgF`39{Vx^wj#lgkkg1NDonYz#ruF;9T!?i>S|z0 zc1mK?7H%qvIlq6-;RwjGn1k6|2V-p#}s@Eo|51# zbV#GRDxlO~p*V-R$J(lfiG9>yL#I)8+jTi>viKS;QFLE#As*Nd=fuaU zpWA=>g~|9X@n@$zg;s@Ux2Fsj7uR2m-nDa~MUgMjb--o7&G59nYg{QTrjzH;sq?0H?%lq7-}?5AtJm+`cd&PG zdiuoqiLI@{PT}?GuOg?+P4(54wN>SgOSCo7xNN6>{I)DP%4TAR?EcWyi0I<7oIZWV=*ktVyEeA=59}V?x4!4#^wRm&tC!Bt?5)l9 zbyQ@fMBk<4#Z^QJHBqm>pQEPzzIFe3o9C|XZZ5A}TwYOLFJF1MxxIev>FMm`VttTx zkwfYH86%sAR@xdDEU!os26ju$uttc-P!O_r$>iyM%TNjMh_c z7m|{bRna+V`8q5jEXd#A&(Gh_*VotE%g5W>&mX$>a`$#QMm4ReYG8Wi|DHbs zHmF(m={!^p_5CD#T210+Sg_&FodHSF*96s$HLYZ+m%PD|S!MOF-g)fg`1FN~o2QSz ze?V|ZNN8ASXlQUyNJvOTbW}umScspei<6zDfv%d0>M<3)Bm6S@23F4QuLDA2)8VkB zxag=zkSjbaGz>f&5gr~M8WiN`?eDC0O!xj3J-rLs>Ss($3@)5HeMz2QTJ2e=llcvO zH6zd1h{)_5cjoP|H-|%NojJZtvkGvF=-Iw>f9>t%9S|HE78w;8n~;!@n3NC?J`&>N z6B84YlHy|{gZ*DSKfG;Wtgn6MobkguvIp#ZLlQHybMp%e3v%EY>9CaKq{PJd*todZ z81RaXi3|-64)lKQ`O?$fOi4vk&&bM5_oC_TKo9jZ*YAa8rlusv#AKEhz_ZXzO+$bLLnO4k?C=vLBXlHiAl-vsTt|% z=^3Eh?EL(KqT*5@C5V!u;^Lyhf`Yt)qP#44T2fqOXpoPGi{qn*wohE#!ZRc6JPPZv z)zy{N7<5HBvb4B3KR+)gJ1aXYBO@a{Ej2kQ0hW~#9T^%9gJr}7NBG-6cy<>=_*WPfbOq`Nk!t=H=z*7ng!rR|lz)P*dGN z?j(0qsk-_}UsQwhB{OQGrI478MudW@V(OCIib# z$w&jET18`1T4+UWNmYFlp|-9939^-!mm!d4fY(AW(anOx(+eB$0AmHYwT)0yTT@>Z zAC{a}+nA7t2#982u5Ci+h1iGRYizl}Av|?)->Kp3n zS~|K$`s=ZEgyyD(7O4On_WX{AXHUg&{a4buC}%s%w++iNE8B5h8r5~?CBePH#IUa@@{T^ zqMzJ5GTH3yS5}l)jIOD!2P=56km+s*(@a7=fk^J_X>Dk3ZEkC*YVK+8=p>QA0v~#H zklIOY;Hs^SL;==Bs0Z;9@B&R)PiQ0(n?Z6X$lu=H-+`$n^mJBMU{NSsQ$t;2Lv39x z4p$8FMt7+Q0*t zXlZT+Fq)bOjg9qn_&PvsLp```0BT6h?PPLqv1>#XG8L9xgupcdwZ!ITVpDT-Ydhe) znb1z|@9*!e$}hv>tIG3>n;P+b!z6&F4Y1$Y*#VyKAhnVJLG`$rdMqB9ifko!kbAoO z2YP$J8o9q0JPm*WA_4w(QY&aKU_=c71gLZ^FmOB$STDY&4&VV8TZrw%yg$D-N+Cpq=YiR}M2O0!~oIs)ECS++9rlKM)Fflm$O?M+O z1ki1Og|@eMf`({s2VY4IXnb2ErnU}I3v7jm$6!fAV}m_|g9C$o{on_mogimtC&&u) zQ~DVJ*fdy70|&4HsJ5oAj?hFPr3RppC~OH9Q&9yvU|mBaFi@y7fOn|dwl_m%;!98! zNMvSQTtrb9Ag+x}BDF#-3Nk|R0)UO&USC}Y5R#ia`@o{Er93~kq^-XTP&7OM+6_db zfEfX^29H3kMkE4L1&DyB0nV)k3p^*l)6h(4f%#S-OKOoAY*i(y5{1EF2%sNB#kD{k z6f|FRTSr%OaaK`YenDzv6tb(gzlYoo_yb)RpoY3|OG{fjiQL_dGn5Y{s|{HB+T zÔ_Cq14!M=gMzJdP1zMj4wN=JhT1(<-JsH?999U9;PV+yXezNMip&pM$pABC*~ zBWp=H5``=+$3xZ%+!tUK^nx0EBQX5jSg;sRjE+u3b^wi?z*vfjJKk4Gs?u4Gj!|#_I=&x&UM{@JVgp*(L~24RC;9pg~tv z*5MkfZ621_RRQBc0M`uyI;Ge~00tOnJurUYOsgn( z5DoLrqT$!%Rd-B42jW(EcZAUL4I4Gr}4c0(k!1CD_u zH8j+L@EWF~yc7(=hyrvasxC@iDG1k4hA1vTR}^H!iwJF?PXea^#*k{@)zRf>1hxSl zot>GSnwbeNuI(nFD%)Bbp^icTZV@sCfCsc0;0V}SZ+~Y;TVvb60I{jN512Ce>j8bN zuNycHVA{ZpAQC$OJ5aTuZdQZAQ~)*#a`UpX^K(!LhmPLY4Gk6O;-Y+b7QDETNFV}3 z1EUNWk1N6A9#ve@+=!^eqVnO{6$DZ@CLPlO_-h1!z%W@~*8sXN7&0NB)zRHIG}PHj z9s+GdsA}s1@$)Xww*YNj00rc#J0SC+*c>#_Hr4}+uESzcWo7w=Ss6LW>6xj;WuZc! zyzqnuRBkRjBcrUju>rId=!94-22)uMU>2lTld-t=*2=6R5acBnrPj6qe@}o$aNyBu zq5grbslnGZHg^n9ewdq?TUhw?@k3V?=x-Fq2{|+H0sRO36(AIh`-CPib`c1*z$$90 zapfpvUP)eNPI5|0d%aSNr_IaY$gzZ0|jmh1I(-vRaTgvn^Z`s1%9BW zycWza+Dr2Y&2`WO0ytMNqXRP@G?;3kE2^;guIahYU^%?aX#4_G zs>-VJ3N)Cefx};COn}9jO{=l09;)S=6zr$S5{nD1m>fq$f}-&`A<~q z%TsUXmcPF5s3@&&zytRJIbtv-K>495StX#ovIqp+cotYl(>z`Qs`0h<7rVLvRI0mylFb4w>;j+?_;^LChQUn5; zRU;5!@{I-p6oE>W7UpNAr6k7qhbQXpDw^!`FvfRAmjSq8w2M&1?$_@(c3v^0Kp`xg_vSV0i*dFKO*1H50(dL}>3K5A;_T zlvf~13Mun?FqJg%8GMyvNPf7@N9qq;D)6n#Y5|}2X%&G5wpUhyghIsdbP%;oO9R=Hl2THVLxMwsf`UUMBEaqr z96XefoR}CF8yyh|7Fpq8VIe_*0YLnHeSr7|goXtL__#fL;p!WopO>1F304v*332fW zNnm}Kln@JGM}&t0g@J)V!66Y55z(<=l?DU+!jco?W5ALl)c19OqiJYyKC-GXHyf6k z91|N86$7j)0+bjY8W!#bR`f4jJbVIzLcqEeEOmo}1H8S#`qTS05KnhEH&+)I=jTtK zK6&!g>DjZVj*lNcu)Tlp{!1@kzmO;(VZp(npzP@A$gnW5W)AT4_4Wj-dC%7#UOvA5 z0YEP(B@FBp1BiY;-mdPRS1(2)3*Z?^3D8P5Bsjpw4_eCmfRKWltNT^c%a={A-nM)C z;)S!T>no>65ANT-e#6?%!QS@1%{}Xz*Kb_EW@TY+W@=(;ZgIuj9DFmoVqtD>X=!EW z;`!Rs!^7Lp%j30waIn9R7r1hVlstL-;DNpU!^aODpFe*IVi=%OuHf(0OP3e+&m4|P zx#na>1$g^~fJM8f>#G-zkDokpcxY#Bee2pa*#oi%Ky2u!ik6PHrn;J{^3g-`@`sM9 z>73Tn)z;F{)j4%iLseNxNm&gfYG`VxYpAQKsi~hjtE-`BX=8iO=8=Qt#akf8;R1Me zdi==Y{@q(vSFJ3}OpHxTjg8G9mNOO$=2rj^_$nNu3j-WH8Q-Qe_BgT zMft=DRdsbW6(tpQ4ULo9+9ywH>zvY5);cRa@m}@e?eiCm%&wX1YpWfWm6h5pE-Jvg zjg6I^ZEHs}p|K8AiLI%H_9$EM)wT7ws@m4h{^7n>08yO)1pV0dgysGqk_KzM9oW^oyCaK*)Cm9=1VWODAy>gpQU(WRzi zWaAMO5to#b+P7C?pRD}hBS++A_V3#*!oQto8z(y(J15vVVcp8i%*xKe!3p+qxwmm~ z^Rst^R&ehZ-NwrUwohqi-t-c&Rpo`*S!sz$u*B#nO$8}2UY;Gh1=;uxpR=?w);_AB zqGx>L?k%$m=k?VO>^X4qnybH`*J}{@@(YPc%`HS!H#Rqux;k1~$bBPIbDyc`nZed9 z2iLake0>qZU<= zol}gi!hmHwq7+OYax>vsAUIN7T3&^%ZEnTp=hu*$@fZX=Cg9ceGs<$361&C3_sj1W zWL$nXoc`MOWk6V1WNInCv1NFbfo6(WT?4`_gX3fErLkf0@chc|MQU0)T6%U7Syg?D zySDf5+dDpa`qb&M&8_>c!Abd;MliYVBDXc-$_wEsapB$%%`TeXx_$M^4TqPnUOc*Y zbH#Bw(|;$iSYA_N$%ajNl(3nm0xVn z0X4%b78X`lFP}Oh!TGK@*yY@o^sz&l%t`f!?p-^|&(P@`^j_}K^YeSeRVuY@?vk41Bcos)Hk(ishP3*Wey0RNcO5OWEImuZ!x zPux<+)OFA4Den{DpcyQQ@^iT?zhBGB^2{0AfTYaa+(dWdi=G8-UA1{>C2gZaL@c(p zJV;1T)c$OgZSNB~jxmDxNHxqE`3 zwU4{Aql3MjoxPL0Ur>Piom0}nyxdzq;r)+ICxDUA!SE0tb(#T3rIa%6oqCA;zxEqqWp1N?+Ok%?x z`X%P0!PFjEQj9=jK|HX&sbg^B-AHp`@Vzs-SKXuF1%-Ja;s^&(3l_wu76&}14k=)?nN}R_X|D4 z*VY&_#p}6iyA%)e4|!~Hdx>Y{qen2u-jDbD#!dSWvAA9SLg(oGclxcYtXmoB!2uo0 zsTeK}7W&o6_NtUU1Sniw-MXOAjHxG)~_w3&febknr#0|+se+2Bo&S` zanSZ>>i+;%5$L;O>&eOugds%4?bidV7Z^=D&hHG9c6oMGnO z;Qz~Neec$l3)-rxI;Ic3B2zNq$)PT$hqry{YbJswn3;Y<%=1!x9~{i!Idk}VGPZAe zVSeWA_x118TNo&(Uj%?aE}xB=VGGr_uV21`VTzgtI?S~8b$MxNX&KyDU;no9`QzN| z)Yx!OYfW*I?_Cw%sUp97rdMoT{Uehy^2=~-Zx(5oxp)PI1o?Tl^Na3Rx%|i{23~|L zD@+Z2X}F*HEgn@xdiR}yiFT2cxxlN)$5enDYyya60=0BW~!aj=1dJdiLkL8qJ6KYtkOC1Uau1D=~Hi874iGQzxE zUcPeo4hW5krR-%Srev1Z4S(mBI%(w`5SyM4V)%J!F@7(tbmYahu`n_)v2gGR?ARlF z;*8ZZzqs70w&C|*scGq<(@W5qDa!FFaLfv{+2)J_oI?@d2PcLoSfDdSbab?oGhiEs zz_w7Ye_fn;+ebNOl@uBH`jx{ibHg**VDhG{qOPTP!SsgRb8vbhCOIRw2nvXyk)?&% z=}BN~!{@b!ySs;%Z%{;hYECJpp42xwv-tHpbTWsYo^l%O59Ry!^-cK>4n44RZy&WBSGdw&5$?%&u&;g>U>DdqSi=RFN ziW-g{hc(5{=drjS0H{! z|COrh4f!kezfS*aI8gq-3+V^l01Om40&&eBm;Bp;1-&iIo2^JCut5 z5k(tmlq?VyfQCZNkL*wq|Kmad^gCEkF;JsbV*np2DoVg^euA^nau7HFQQP@##eO6T zq-~lh212umWa9$^*izZFpx^5F8`m54*nFqt|Ep?kI4>v{)SobzU&GmKv&#QVc7F00 z8-4@o7gaz%RK35b3sfF>=od6iZKiq&C>nGCzXnp~t zqO7b0eBr-zhJUCMfiaPm7Ozx0$p1_UYC?BW|}HW5Kh4OJ4-PO0&R{6fONRJn;p z38MDbto-WgkL+lp49L<{RewRVNfG6)@|Y2TI-SVpW@UQ-u^!29!$3Q*7vk2m>DV2l=heAFowa zDJa0ss0w6jKO5Q~J@YGs6u%An{RSSu90iZcW*?y_26pyyC;B6uzq$|gF{lcE$>dK@ z{f0EC-K(o9wFfo&Rd=nf+8BH{sQFuHKqiVNKq&MDT>a%^zsW&)2v7iNQUR}D5LN$V zE`O==cNu-Bq;x__NvRS8cB!DUz|n6= zPJn$n@IwwL0Sf7ZonGj3b6*Q&gs#9%AS%kx?}WhzGG%uU z+Qm=?4?;gmsX(8ARBd2{5d2ai^ljr3yl*JkNW^S3N96_trA?^6D(dIW9O&-vc6NSq z1IqJDu@J+Xn`uAa{6#m&iBX1XxUsw00>8EStMdL%`cII4OUOo9KjHah zmj}|h@eJi1YQv3o*evW{?AZSu7(eCNAm|sKek5e``|s8LlnGD+EcSQp@HjPl$@{$FMP9Tv)Y0*Y)V{fTyv^aGyFuYa2Vmpnf|_*4FWiRACx z{7r$sNA%O3KSlQ2#J^MWALse4wtx5fk4yR`<;ODqJpaFoX5;xkFXR73>i-82SRIad zUd)?gS0xO?g|jjFWLuN#WVSWt>XWKeWw(ZHT_xTy`^%M4&YpuQZwzB&F zg{Ck7gTzC(f?GV2(qly9Tdn^3>}bp2fe2(g;ISmB6*Lxls|aZ$q$Sqi945J%C~nS| z>KttLkhzH3G-e>L>Px4)PkeIjg{kr}I(m^cQFr1=atC^h-(7=%DtZg>YT4Nt^`Ptg zO#7_g9A=Q`yR?NiOZDHb0DFiHx|1!`V<_?#^qlM0!^7)eMYanu9h-j5$0fn6cfZ}E z?DmvmYwFKCuzHkT@v%&Rgg5oK)s)lEsxBN0T?LGi&Z*zy^IK%GZZ-gp9Qxd=`n z6x?C6G1i@i#Uy&Zl@hQRJ!2w;fJOy2`v#miB;U1s3Vgh$d(3jg`vj~n-Itbu0$BT< zMeE7986EmeoTN*YrP{G2P&*0DQH`BMu!UB3wgfj#9j-jwfLl%kD%k`nEFHJ8(y{*d zTv7CeIechFe|#&}X;x_D-MH4Q5B=*H<8V*wvnYp~ynII)sN1sq)wPC-nAMcK2s@t_a!ZRAPl!W=__ zH@b25xla>>0IsLXJhv>BwpI&KK1kOL>i4`w3zTRlRhKDLV(Lhr9xG?SMl#Cx3m{sw z9`6ya$W@;mM6j5Ft@UO2eQV%NNd=S3T@pK@_2i-Mt+qEdNEHMnQdZ7c(A5bcMoMA$ zr^Zp$SIlW@VsP`nvh@`L$PlJcz-6kq)o(uW$SI*ioBCm)fDzNcJ3&gQf=DzH2O{7* zAtpwmGG-B~EgW*yYJi$829Witb7*98tA6)}hz(`6f3G8TC4Z^l`!Fk!@1@TdsGTj< zMVnbFWh`^!4u>oZz=3BhBCxep_});y4`_D^n$F^empN?;`=VX#0T@ zv zkfphSZ}8q`yYjT^o#|5k$ym=IMQ0Y9Jp~Qp{0++OQrqQXPEyoc+G*>F{85D-%m6G3 zuFrf*I(>&zBer=eWmavDZEEn++4Qtue0BKcDTOILu)hNjQ7Cz9I+9Ng=k@4<#)(*S zPXQa%P8hYqLZ48n!cyi5jY+slMRSgTOhSDp!2rtwqf0-{6TMarL-l6v7`{~sg`{V! zYep4)yS`1`*g*yi_B$oaIu{W+)n!$;q#=ZmS*x??n%Xa!lB)MYppJil@I(%9t>cN( zpIJ7$>FX>n^Cq!w+MJ>jD~&&Yal2yAPO?S{-_15&@p0^W;Wp^mH+2=SH<>ln&+=7# ztYY>e$m~bH+_Vbf=!%hWB{!SrcZ`Z@os{p28Wd`8>3vecIN0)9FZdc)_~sLcRvY-Yk1Re=*#?wYlkMZsO;R93C2knvVShv2}=yStBAaG*}x%%eYesR-f-+hgwQXE zwS14w@OuQQ4}#Qyuq3X}@GJJXq|)YIgd6Mh)7XbBGJ%DLA&AQwhlReA z`uv*Wbz&u!8)yQ=Gtl2pY+eh2lIQom_cVVU3&DUTna@k*Wt#`I?4O?tT73v2pY!TQ z$MVsQrLMnUZwZ^WP%`xs7|m-pDI>2=F~L1syfWifPmMjh5fEBX(=@`+08K!$zcp;f zj8TjbV&fTb-QL|~eyQk^6V7%VYoS~wI%*Wu@VaO_V`jJ9tbM{Ac3@@mrnIwcLXp^N&*rk{M?VH$>9 zQMb|BZgEGMGR#S>Xk<@D^|2xacWUdbX>_No5ZcF?k(Z9MeiSvOm~cI(Lys!XcVF5o zGNd(DoZ3RgsN9Qy!lq*eL;k=~amPplw0J(&sh*zqIg}Vk#A=mTqWsH#ae7Ba@$+ks zRF@xyyU^?KUYJ%&F3~kK3DVo;Nc6jjf=PSM{MzGy!{SMcfP0HgoZVs5GxRmJ8RY@t zZtZ$d?YSa}C^r$Bm81xNYi+mu@!7mnh6Oyj@sU<_I(=eC7|)MM;~as7lf(MhG}MSI zZM2&*0ry0RYoEMBB(|&EFRwD^wD3E(86GXk0mJ~aYIG5 z;2o-jZ$*7dRuw$RguPegAl0hTT6Bcf_;3r@P}5_@dd#mqj@McXawGtWKeW3L6*iQH zM`!D(PP{f{X1RN&D)svHwJ6S=SC8;ddpI?HIB6(iyi6R{86O_!LQ8IWkge5ULV3lm-G_d>%dM}(m;Wgz3Pz*(3DkL4SI zW}%pk>*S-bguk-fFjL1dBQo868BrhIL_~Sm7)APqlx{KIOhMatxf*ME{E5qj>D_-X zxw7*#HrA>v$ie-#7a{ZyTFNIHpzu2K8u~hnLU%K5W@Le@Ji}+ZzRmS1JDej;)=yZT zpU<)0NApO zo1D0aHrb=_GF4&+gB*0O`7X!SkJ~rMqe3IAsN+AhNg>w_mydSwz5DNa<)lspTGa`I z`ZqOb0dDSQPm;Qd=Sp02tR$5nmSbD*ZOgc9U}2bUkpkD(Ns||8`xz9dg7I2dXjyDMnZ)38!w9rKp0e`)tcQG4Y3gWL9IcQw7`;5%Cu~I^uU*ekKQ{hCl8NLKRf~5+!pAqS z#F8IAFb?8P$fCg=5B@cSoS|0p+TtQ)uBEqJWC@y_c1|NK?xdGnw2Nf}gQNHgM7bt2 zfCg1BjiBuThXxaLi5K3=klfntp(CFjzyH3=v5x>ys$!r_;ee*SA({Z z-u+%AT4)YdilPgn2_P6O3)C={TgI#HNo;q+fqw4B)Qi`SrI=1n@^l(auyJwYQj(?T ziI{EQd1%hxoRd=eU`Qxb=0IafxHav=6(Hdu^ zSZ(HY21>te9EcMa>9jQAxnTe&L~}RwD^~j}iYZ-nRp6U%*EHP0oo?_w-i9mUK0}Blz@{SN*zsdKRue4lIZjbd z<_7e_k>H;d6=f9W&iRJs$HTrc&2hJK3Uz6QHkfP?@@Dl$QREf@M1nH5pYQkpYTnt| z^@DWgpN`fJoz8LPCYXsaRlFaITAqRYi&*iXaW&n2em=L5R60!LD)#q>%f95qM1>i> z!aYyc)iB!|F)f0$KImAhmZjoQz`UHn0uNTgO1cc}edHDsj%lF2DoQF?mYXmN!PBjo zz#x#{u{@yD&$V=jVfI&AQItNz%b{aJzl`1+t<1O?p*RxW_yu(US*Ui*p4qi{- z^Tjp&N@zsCFV5R))SF?b^++Bi)Dh`8k$R+V4A;~AgQrQ-d!9vDAgk+fKS&8iy!UmS zN)m{}LRFPz%L?yi%;_O8GUN>)s0rB+IN9~BJtv$Ns%p$#tx=idWToM-x();}xfLh{ zddP`+6>P8ohlNlMlO$LO97mW4b_r}>U^ z1fp1wO6lMhS=_vhMiL~dXbx`Mv{Zz0&Ic1o92VC!5DRH-voX(2Z*|!8;zJ0r zJ5yQ94Cn{p7uy!!bb$k(uOAnQ04|c-37_@+T@};advjfQzgy}>d2*}R8m+Pk!lcoi@Ts*N=URRs*tEfr(%14Lf z3(Wfbn8ZDuY3HeB8HGv78e(vU4pNuy;% zftcj6jrCf{&IXbYH&T@HOOSL5{4fdbWwUJ}pSeW9%uT}6_NFfbGalJs5sa!;NB0OD zGkFfNu3J^D6DjHe&9zrgf*8vd+_o%W+2=-+@i3 zhJnP9%qevoA22ruH;_}sKvtnR3+Z7J*WV%`ab`YyJ?RUzWJX~JNi;qHMel4(3S7Rl zfeMT}A{dJ^-K$FMTY95I>Aq@lhleoB7t3Rt9nd4P7qKLJG`bo5=-hXvX{o;+QLLag zy;mmhV%1%4Pf@|;xU4fK;_RR3y4o~Mo^SU)yVK1Ww~>{eSx*OS>nNuHASINI;F+ZR zJc_OgIYGcXR*(G^z!QEP@2dhibD}o>x9WEt$Q)LadXyxs<=)&kHMK*yd;xtupq3@* zv?OQRc|Z`VN6o=_ZAgh3p0DNPq;z6QNu^r4TgTGio-%Z36{@J$NPE#yl|2nsB4bc( zxGwUtEQ-T@Wk8(9-*7M^ZwM2_aA@jP-6yH6tIU3;hR>q*9wHHbL*Woq*0A2Arnhqh zNv5ZSw4n|DRM&dn3$KnhYaW<-gtcMa)CJm0P-c<>Rs-a32z>DhY=&TSluI%32{haF zD)`v%Z2*pzFxM!(0lc=9hDXihVW@d5#8DS4Mo?xk)~Tg^Hrg3g5q=k#R9l!0Jlzh_ zQx;017Tcq6v4)VcDC38AJz=|01MsNkY2kIkdS!`>0mdP8Ii4nIElSqO->2g!Bf2(m zbVM1Lm`QN>V?z3YdyOGUZ*gttzWi)=Xx=Qw9n%+U>N>#tlQj`)<8L>bVL7@8%Z@Kf zA0bD>;keUhl$X&gvOe)5A`N#`m4*=fQkLnD1$fOg0UDOm-asQ(cEW<{frHC>-HIT$ z)k4h^e6{*Hzws*kvLrG%{p?t~U>9*FUX`KdO9q7ao{EyXhCD234bK(VK>gGPL+A7U zo%7J)2F0gDUG*SPXE~HR>o7g0bn0i>5%g1TIoW}bQ{jGNTp`Ckbdx>Jeu;fXP4o%V zUf+(wbkU^6+3@k+BQN*40(=5oJyfWj5<$A`)A&()oaI1ziJl~Gd%7C^lty26>!}1% zy4fYOZ@UzK|Ato-0XC!H=%E~2-j0Sr>=kWhVp*_kmE5zN+oQpV>$pSks`ed1zaoJT zWvs`P>O+kMbdtvyg$w;4f|tSnOv1fbgB0L0dhx=yY zll9cr5r)e})_Pq!M=`uJ2vug%qBHe*z(Ha3uP$)*eRv)RH}XQ(Bi7L9B%>TZacZtr zFEe*poe1PYy`bdY!gH>px4MR9j)Vz+lUYoqEU9o-C~f4De!ua=zRUA1QVmSC_fV%A z9R)}fuwli~VDDKg9LK56x^&xRY(qt5Ev6I-SRf77WeM)k>Y{TLjecrTe!eP7NzEp>0?xBW^pVjMY_l!k-+K*5KDTZQC3Un|Y&=OO@rLEK@!E~UcEIgeb zjwo%=gIBfRad{9vcX9K*`)F7S8dvI(hLAR%#7he+6AA2?=nq$BOj~1e+j(+2t}F?L z{KqCucW+%dkAc_c88>b|n|G|q+QN$b4x!ju#yb3;J;cE^B#U{|hTU!@(=Vx#Pj);i zbNDU$`{$_06pP>E$E_OD!?awUYHx&XrAkvTu4^h~(D719RrEg*>TnCvc9oNy*R@E;{ft`oe(wsa$Y>PmjMs%DceRAr8CT z*wt+sY^&+ zVIYrC&^K%%6eKcBRaCnrEhxF^R%4YRaOTvl&pF;)@_`;rK8$;KJp1`Z9wTs`B!S17 zkwh9=nABgyu_I$PFm-NcV^J!tc4l53s9Hi~P@VX$a$1dG20N;32Qfz&4?r7|4?7o1}ZbIxH`y6~uQ9dbz+pjdL==KI?|e z(=G)rsi-qsS6m8f+Jv=J^RywizD*f5+hlW&2+BXx8&(^*iP>1&Og6P%J|=7&qqf{k z?R739t%6Wg`W3lyIrfa2snQ{gP`YpEHQbaj&$RR%=~^c>T<>3c%i0T zZu;c8as_cR!G~V!1vQ+rhImdXU-9aJ^r#0GJiEm%EsA&W;mIwq%W~o*B3XwOv!8ct zi(*{$*ftvz5N`ten7GD@8gVXHxvov<_wlmDGO(^zQK#Mk6P84N4(L5DuFH~4*ly&9 zf<@d8c@pK(g!*-1s{>iVEOZ&~HCOjO`@v=vQ7&NvK7d&p%jzJ#n|aG*41if*uO&%p{(!XfuW$pl}tB|1!{YkYZ%N{bMh5xW-@r{DyTDLI#+!XP+~md16Cbka*UOC6*ZJ%4#A&V}Boc_?j81wxyzVT|4^T z-j_Z&VSILn7X21_qC*(ykNEq1>pOd)9n3?NtGiy$;2)gLM|VIY8*?z1*%7=#Jo8Se+8Tpcg?XGQ&HEq2gV@lQacbNZh(ll$h4%m8R2zc9aRW zrU`Ik9hVw%2A<%TVHe!`neu&C`+`wVn;| z^SxECZkyqV)%o__wA<{_A%=*AeR=_)5;UMtcY%z}#h)iO00wz`v@1m=hvMIo2Ng35 zU_cDvsGkLX>D;k^nVh)2YE`5-MA`~FzyaXD$N-Siv(6(&R0ks@O@652BH?> zgxRJq8>ASQLw@E8O%XD>sf%HwU;Y*#r9?N{j~AW3`#agq9D(| zOz_hI3=8CWb;Flq`<7?}r5-r(_2Mq-ZQjQAdB0lL1NTnmC6}NMG!dP{536(nB&t!$ zq|bf(&u%bupmabdwoH~B4EG7@T%36?r0{Sn?cHcPfX5bKXDHH44%ZcLA+EQV0yWyI zo)4vOH@kkWNN?6=VErZ8J?0{)Bu40K`F0QFIZ!R_bUQx!aUk~1} z33Azet&rx>YfTqQ;fvWO+KkK~r;iZP)ALoeu<0vjGlD`RT0bhOV`M<5TffUzvc!c zJDIk4KjnMygsx8AU}PH$HQ2O^Qq65Y580mzXo?WC)$+qKTY1po=dmlbD#^Y4xPd!? zC4!Pnz8#XsWE0qAWZykZs-ZbRjKS@Z9J=>2u*H*3ZMAhUeH{ORj&CsHi_(Yv`M$O| zHitB%0xKsPj6k7*#KE}Z;ZA;`%NTl@&y`yFZ0Hc=nUe$tz2d&{I)fvF`D+6mSB>Xm zLG=?~t_IeSw1Y^I-@Z#~^u;u#Rel>XLZGYgMF@Ftd$eCi&j+_4B!j0R^ zt@Xg@Lki`_TtD8u6DW2gr{)Dg$7Gp!JVDoUz{(WAdH+hk*9t}rXOdPg;z*vq?7Q8i zXum>WL7*UkKG*$deGvd}Tl-(iHpB_6m4h2iASxj<%9daKbad0-EZeX*PRe z??lj|6E`a#LTc1j7^w2=F%Vn9)I+$3LI)26jOwfUlqkd*gaYk%2JKwIlt_#b5o=#b z$O7e_ni=PWP?-2()FsH!hSwdEiLq2O%Y3H%jig!3cO@0bq6wX(cF;NR+u!?>I1Pd$ zd`u;(%bIzKm4$RX+@xO2F>x~_&si)`R_@ULP_ZgRh8Yt~*RCxsa^X|xshfu^Mw3bX zlo4lDPn2X5iss=1!0QwDHgk^naD2yhul%}g(q^9r)N0}wNISpLY4DP6#@^d$xc@Og z)f>a^nh55CSxt@JEAHe5hTL~RQ1*SK!BVh9HG^lZ-~#H@L)=ilRqtRD2c`A~_(BZc z@LFuEIz%-FMpi6O6ga|TUu4*f*Pc03P)D(!hhN&r`_!-HqUgxJV~g0rVlTIhm?|b@ zxIvv&D4gH<$LFEy<;g)nU|Du(P^_%JOTJaSSL{F%LF229(vP)sB;66FzwXMry~swM z?D9k2atPcsZp4u%sVBgDtRZ1_SNl9+6hL*gHIBZ>O>(^%a83vYNOM%Z^1_l_a51r@ zpz(=mVzgxV4vb*vzXI)UcI$FS!__hE8M*jmH3{Dm66){r(`IjX#ZNtoA)o!s8$ko}_ksh|>G@^^ zvoi8dgcjxb0e9o#1Z88QGnK;?!_6rnE=%1p?>DKy@B_oUenCSnJdZQAfkNcmLl3KM zEl1|ynPO%`to%q#s`T5{Rg2C>C1N8c2gFu8GmbnvHRHraAX}#MC!g4nIHo|!Q++#TM z-~qAq+w?j1xeZp#bUO#W=F61~obdpbPW&DaeVJJ}vGi+u2z(Xo&DsNj_sI`#vJEYW?z+(tXgu6gP_ z!;+vjdy-RSx`Ayey9~<=DmoeH& z&m;p#(AF!lFC-E zVZZ}-G!yc(q0lYCLOqMxn`b#nmaA7-QWO?4+iBpv++`31g`o;5LknG>wdnU#=6s2U zBqw+A3cdfN5!}p!Dns%b=?O(aNl>FW^m-skj3-y;M${#{NNt-V?C{oMP!9Iyh(=|j4a1Ak() z?U^jH*p1ZPeZa~ao~tkD`dMB|$q+Hw2A4B+{Ih$djPwn7SZmaa?pXUAzS7K)sEei- z!5ydA%{4{&L1;BHMYX z@6&w>xIoP|K|QluC(1aw7vUYcS&}VnNYm)f@Iih6_EI7pY}tTL@U7EO>+g~CL*2cX zcFX#*AGM!|zT8cxR-~f4y*wj)KkZ|}0Fi;iJQQS(6oxBa+*DTA_QNxd^&Ek*jDdx{s>n4&8VtC`SE2(@I?d{+GP+u_Ha$MwSW_Oiu04LU zOM2||?f$P|_CyxZ$kcmYIHJRnD~h$Vi3qu?#;Ugr3{D%KCwK=J*J^ayf}7N*!c)5}Ck1usnQ*dooP3)uWb;Ck_ zv`?6Oc82hXPx?vP8<9t#LK$i16zn<%omeZN%BEPUiix9i;oCPA0YY`h{I8_A26Sbeb0QBY%K3`rAe(5l4v>` zLoVy(rDe6geuIPlpHcV!3@XpR#Njg(j>GU;<+p-K>(q8V2xWZ3wc7BM+E#KbZ)>ma_Fx+YD|Qg^a>VniimbD#rAENF}b4 zxsQ-~jw8KoOb#7W_`jqmk)jaNh&VJ~3l-z0Fb)O)5e`S13X(yYSxH&do#5klR+W(U zQ#$Le7v;i7laZf=qzTAzDA6zWSEly?qQk<`Cfi`K#Nb3gwEadcARIbQ89-JQo{B zrB(31v;3=3X3`G!v@1(U@Wi{yUw!!b0zXrEYS_KzASvj=pIJ-C{|Uy1D(v&89a|us z(u_{xWe}@qE1@JS8h%J-_He z9U_NEnwp0pa|;U4!IqvCeUG=4R%N`8*}P~KwBh;V{fbY`QIRcC+QkD|i?BiV z?YpcAg&^H8-hl2lXJh|BhL{D~r{Nr}zDb-pV*^Zj035M4q&{cjfzK~8VCBSJFEX2~ zGhIeLr&SNvso6bJt9IC5GvHx~9`pS{x%ireSFW1E6Lz^%72f{x49WWE2(p*8e>Fu} zhofYdCnz#27a7A$f3(e_D53=eB`kapvPrY-7}b!=cvM&fpRX92&6SYyN*N! z>Fn^5=mM81lQ!qPA9E^&hadS1p`7FQGOUI+wLYQT<3_YOBkF z)(E;uswY$bIKmjQ9H4a;qD5^QXa(U<%tLWX0KLB32!&Cxf^DszA{*I4t%Q-f?kDK%lN_gE&eP%Xsd zh%P~zaV7jLI8fUyEmWo7YRmoGV*bed=Q!CD8~YC7x`C6G%IgY?j{$*VGVL56lCPn2 z^;FyM!sTa&K)>7{g-s#$__|Kvl_H==(sau*JPEfOnHsVDoV45tj|05U+p0*X$v63peWumCnS-Y&$>phuk9puS; z^fewg@`W-rVuZG<2`Y+*Q=+x$_Dl`f)I$p6f z?C`d2z&pF|3)V|s0{Ic)yT&&dNaHI>Ln6N&Lpv#Kd2ET5^~Mj9xA7&92T zqx)i1bvhec(S7Tgtk8)IQaHm~?5A2;q0)+>jn*1RdrvevxeP9_Ro$v|07kuq{dM1!1I(%=|5Wrv`UIdmy6-^3cWdK1C) z*bZzf8t^HyiM+zs0a0lIeXsn?Vdd>am8jVm3DeEzb$ow*J)_{&KZv^_Phea>iQJjM z2@)o*x1A0TBFzJMsMa|8T(N-2GVOO|w-1S0v&QH7gASK!)xw9g>s z*-$KMQz@$+LVbadXtwwbS}#1ASSnYktn-99e;|NXFjLW<~P(@11V;ZG4RkWo*8v7US@~CHfG8PM)!rbbm*N zcKt9jI9gCV>+s~}M76_I#-0AM0!Vh)5&cS_xCHrJJP$hMrwEBV(@=ZXz+i%rWR|uV?qBojDA&PhwIF9n|mHEa+Qnu#-tKPes zl_Heow+;H@8VyxF8Y~pS*0DIhT#Yyw^S?9eCAS)=6MB~^41XU60YxAx%er{$DBZOR zI{qY*)9AvXmO7AgE&MtiLeo;d6Vl=`<>^+umN6{+sorNfP+=A4jufkjCJmjXmxd$i z@UH+r=IXvOGP)(2EdYSVa{ZY*LJqA(>(9wHDf|-~=J4EC9@4m_0;hhI*pm8DwM@-s z(|o)NzLzuvPo@|j4b08}xM;<11YBA!E=Q_b@US|bLbGbFu zy^V98RxFj3tH?C;fnwY#l7nP~3+qQ*^FeArGPlR_O#d1VbkqijR2IdqcwUaiNdchH zy1@dgui$+YOJf>lwy7Y-G$xg9jaqTge%9xdX;v7lPwMcT4E-e@@z1@_o;^y9e-@9@ zL*w?0{ePkVm0wOrWrEu{Xgal;ID1>|l(WUPA6{l>F30*;fHhYQ3TdVjbS$vHT zLF!G!+JAr8O@bPJX<=1^YkqJfW7$39b{6OzK-oD*MyE{F zwoR~+^zUUR{NHxi{yTPX5W(#bS+^j`6;kKqFSAbUqg< zUIPU9vD_o&R!}d|eV=yZ$k$YOGem^L+y5O4T^@vuk%ezi#HV)06hveD#OF1XeF}|K zm=p=Myy#EEWrP~Q0#2~js~+r_cmnA%30EO}c~Y%zpj)2v7yzf-D=vR;B#Rqz3Kk7}|Mu5Q97+`-2)m_h$#vJ?VLHOh~CZ`1$dTW75XPs6Ur zw3CA64R1pbNXhz7*Je1Cq$ojP!TqpQ=NBR2A7x*?OZu}h&0d=R&=K(r#%O1KS?su? zv{DN(VFJuB^tIsfDLMq9%>B8TI(j$+y&J2rOaKpvTzpqP2wQ+brFyjEmsC~JPaEv* zX~G~hWW%2xuB$Q`-N7|S$qUzwIh%+7B*d?8;Jyx!F;lCb`O&}%mx|L(zPa|B0%neX z98fHEnJDY~%4DY2D;Ys0Qb7Oz;!fRFLz2x>!v?a98`Jn^N&iVMUi|SFQ|)Fn z3AIZ#ef)jRiTIUE&@S!rkr!C)Q%3)bKiYn87)f*vIDZm|$DqfhYjTdO>uxKe9*DC6 z$5T)E->+olpBWk5EcTNo$*2t=hmN~z1J%pJqY9S4%d}G=#twyg)7g{1-*1_FK7(-I zZ^wfM;o_x**0fNw4zR-88)Y<$`=)Uj=^BPw^wFrDS&8kywK58bCc!PT9{({1l{FE` z^_R*BOz}Ei3?bE@s=VmQSnvf`EZ62&J|WKlp?QpSImd5Gw|^9(G%g{>=PvuZ#N zb9gtKLsN3CVeZfPC-z43R=m(+iy4U7Tch@Gv-pm5Cb{*T{fF@NHe|(-BKPm@BxO)N zbs9o^r$a|_gEs*x4yuzchoHAE+1y)8s*T+8#+1j8hrmjxO3)~y7v>%{$)ffd-i+q3 z;WFFIxA=nW(IA3#$It@zto`)s5AX`}d==6_!Gp}e`wCi15e?@sCd09@*XGkjS%#2_}?Ql6&F9U2dGVcg|TBlZ)mUV zXwsSd_~xQ^ERu3x9#|A7@#a=0>~D9~=(MfA%wfEt?Z+4WJWAG0W$r+L^y#IG(A= zvA3oa=_5i0vQnaIlI#36VKE!Zy=v%9R}*1qs(wT!>2`|B)EXg zkM&iS>x-2AVYtWK-zYtGE<5M|t+Qu{0J7Ze7lm0!+*Z`HS!}q5BJT*sq*RN;KTy?rzJLr61zz;5wU1nJ!50UR-OHy6B%gA7t zKbXFYURNs0>$_)XB{6TMwocY8A?YJgeu=mOHUx=$k2k{zr?KRJMySB2SHVW)m1$$- zH!Wc=GNescs=65K@`_6?Cz$V>tR-?M*U%1Oa-VYhU-SR%aX`(QtkYhGTlxDs(EKF(hp+%ri72C#rx-m{LJ}pW534#gTFxwIPfS`E{t!- zjW)=tW$=etaC)%qeb?W9Gnjp}>};M<4`B>Uzr|Cblw+tcTI>^f-0;)OeXI%}%oWG_ zcV~c__kW86)6l)6E_8k%be=&+e-!VZkOU#9V5{s86CYJ5N3-FIlOT%})?^7)*!g$h z6Wy(S4~INMJGTJaq9#y1W*Hq#steDSt9qHq(Nl6kSw86%1>50YexrIL!h+PU9ZI1j z4#>Ii2Z1H8=f4I0_1AVJmzdd{9y{U4DBg>j3iJ#QM=q~;h#<^{lGYP)SjZwc-Wpbq z2!v{y1e+@J9`ydo$|VKiVRm*0L-_O304p!s4rcYxl7c))8STvoUMhQXG7J0D4|@MU zR)CWzE~t%%z&D8!bY!mE&#;>YDzwc%%ow1j<$IH*R+ab*)HL#^`hO}(04cP9KpsD) zTPab0Ls=u`7t5Xs)fA=Q1fEZV0o#@0-yjv%A#Z!8JdXeUb*LY6Jk33R>g9WMe6O9; z?|iQ^jm4LRH)0w`snHMVZ6Wr=P4|;K(2C&0>+_Kj{0JvANrgvbcRbfxfE7d`xH{O` z^i?k@6y8%f!T>>H=si`pV(PGzy8R|hDnF1Yv^D<7dvxoT4A>u;I=boRXB^Cu{eR%~>#q4sxA=*RoA(zjPwX0fSHj$u@5+zv z3|(I4bIW+?JiH!we4Aec%S*?f#T$L!0k!_J*+tfHrb!2d6Wjxs!^~>*d75h6D0Ok$ zc0wE~ZG59`G7hrDr+(r7OXem9*R0>)2~p_*-m89cxm&bioE}F$Xjq-d9uw(8UX#Z5 zN`zB5ymhH`{osvUy%+WnHQtu;h@!DNd8qiH*c05^#1@DBZA9e%84#-`Ux&)Hwp?}o zgln;n*38N)UXjz?!i-Cx*b{QWL{K2Tt@fDgMq~5I-9=oP+5=tCkF0cYt2zDzZKjFx z8~UzT1LCg(%^EpNtSx1*$-PQEEXj2?i#THYm6iVl<%OOqv@&*eR4yf9+e7>hGuj_b zdCScGv_{vR+eyFb*DY3Iak#2=shut2DfOybN14}txzABotrhk6?&xdTi7A76*UMKEF4GOFq@7Qm-#IhlRnmk$dV-mvmID-~#>}=sC$>Lw zH&IAlr+(_}iieE7{l~|Ak@7XP$D)&M6z_;BnYFCaO&)TvSI)B50#csWnByDYDnZP4fy+xSXI#LbZ5xd zL*X;Oc~v@KJ~axd+Xdf8Tyt^$pj~QT_&sa$8n{ub+~CRh;ql+EtMWKl)<`tq$o;~V z>Ye9~AKdUa`4EC0{7-5{~U6R07e2g z_)@^n>LfrxP}2LgseoD^UpVRG?60rk`g&rPTvs%LJ`Z_ycLVy+Z*nzqH_0|o5VORG zaw2!TUb4Yk$c{y0P!I&2fB~IC<&=%@X7kFQGRmX4BNtRk-LD|sMUg`<1_-DRrHmHN z!X@ijzuwu)qogoP;Bm>ermTFS;*1Q`P=0dy3D3VLBWvOt6|!R<_?6a)nU1tU4Zp2|;i7Y*cAyf}JC zfJ=CJ?+6dIZpY4ZRynZ=&h(-g8INVj!F{4fVBK0TpY!hHi7~kh6FZ#5jme%U{Y>%R zZ%a49PL@U_o(-R6E2@U$|+`Ow#m~exl_0*D$=t*Pd@kTsA8of7mER_ z?ctf*nWKCqL&j3?6^`{cK7vi#3{1vNk&g~&xT?4j(cbs{bM~50%zLmqnKMyywA?da zJ(gyE?AB90WB!|hmuIRv9;_GLIG6NJ&CwZdc4zwaKztKhZ+!OB?3L?1rcWfum-i~= zyrXHL`YQb3Mt#Va(p%4WN^lgRsG>u*^VK`Q7q}TDn>O2Pdf=FNV7&z!%G>Lzj)+~c zDle-YUG-!lQ-S8H^QyU{6tPSTUQS{yt~e)nv*P5?A=hy3qiLm*EU|7c>AwcW_w|<; z1SiR#%eZok9M!MygkyW0v$lt^i0I+<$`e>3eGt{Hd z`2nXT_2iM8>D^|@AhLPv=h3sgC675GWSwvm5!-!D+&qFK+>#Ao)@3QIIH!f?%MVyg zDK+V>3SRmzPj?6SQ%jbfKc~U8d)tUA&fv)0Bxm!JolMGo(Nr#;7ROCPO^S`-UbC@b~NXmr`42xOjl2lIcWR*^wy-Z zHE-q>ggx(d+a{{ppn`UBJ*&mza@O8vdKHt}-=4O={?RClF>dHY zzL5R>r2K@q&Ovf^EB zPjDwabD?u#Rl8SkK-#>+OMUM^LLs}*6Nb+HkB>9&b~-TQN)mp4OrS=8ps50G&zn2& z>0C|0Sqp~I;v{P<(_oRC#8;ELWJug#U*!!j1%H=J`eacTrUYvguTYIDS;;`cTqwp-Ir8Uixb3DiBiS5Yq{jY}N*tK`i zynn$7j&gcATWXpJE8#*~+T~7fb)Dbu%)3KRGtXs?FMj%E@@ty~lLW>kqO}>t@u|35 z)VR3=FJ%L8<{ZrRyZP!oM8tgU(|GEPKFNk*tW8?%B4~`_SY2b>)VX%U`CmpER@GW_ zcl&4WM}Od6O)|EQZ0Lr$g`V(r|iNAN}sm%lpp>y;qn=G#hsy4s#JDQt#x>B@1*U zPFsGon&sl8qv1cl;?#60;`YLwGz)&yq0T|T&S{xL^Vy)T3 zu8u5MaaP#$)-8OZJ@PCGXNp8VdG15h38B59I5+hA;J(wvW=8T$b^%{6)~jDlPIX_n zeLiw)i1_G}ZDBVQ&xAh33&z`+nqm_#5^b+Pyc1A2BojMiQq;z0me_o7Imv9B_)`75 z-oB3Afdp~K@ubBr{osVTo@#na6+D_kMS99HYtK4Tv&6z}-z%Pkk1j(5`A3z;2Y0pX zs{GhKWY{>M`%bo+;iM}?SI1R*_mX~rwX@O6*BoMRa0#DyeR&_PyMdwgCATwai7Ps? zH0fhj9~PgD3V77hgpV+wckfT4D^(t-V08Qd_~fh_vEge?)kpGS{23)YJOgXd2OB@$ zfW3*s(uqZXG-|cYIk*!hO}uH5Mp1jBi(Wi~&tZ>SFaqox>CFYfK6w zW*!TiB4wYpe`|Mt-0}jYJ)USlAsBrf(VM_fGktu~!&xlBG<#NSs7vZ$S*Q2FHGbuL zZQ1^B67=_w+(=vw%ZCMz$VJQTh}=y(iLO(Joh%_}hy_Pq8M-TY+Hzm)tETFX6!j+XXkAR(vsL zFLpc|!1yKA^|d6~m|T=V(dA$GI3mljnhlQ80^A~(IWtlKybg)C7oW2T~8BrgEbXx^BNjq@JhUL zLN@2^sdaw31){D|iKaYJKK4;`mkDn#kgtct zClnNhtSrywbK^~OJPI6UJNDa7n%dht8?!0_jObVh zIC1Qf_n-|!rQl5`WeP0=E+6LbE$EXo=X?&?tDih@L2kz9Oc+(ly50Pgx`gCZ=fFBW z;Zs!bYP(ba2A$agUembik?DB8Vo)tW6 z$g#LZFnUr-NJ#P4n{noq&zaA{bo3+-S&h5CI4iKbb!;d78cJWQWv-El4}0YN6kLNe zlW<~~DXY49Fp(zeDF=D2&7;4;l(_)?c|Uw3ro@>fzO>SQ0*<1^RBdqEG|9T z=cyH_p1)PvPQ9HuMd=o)Q1!TxVoB`YXn#Wn@+=X7?3BtlF^LPEei#CTXQz ze_HuEDeZjZxm^C7W0Z6I>S@^MI-Y*SVTSdC=SkGjI+2}nIM>W4k)wf(9`vJ{JYMi7 zYqaEUdo*6PTFA~XLZIvg|6XtDEnY%?TnBi`H|gG)ZRxS56EGKy2I8p$$?KqGFPwp zzR@^i@V3l7U%GD?i%Mzg28?~jZqS-0=s9e{`qo3(#-N<(E_Wa-ph0AUpA3H}e z;FLIbpll0^=7J$x{>u->(hh`AD-0RN1tV7`T6a%jJ6=je5_OYf-RqcPp9aSWQIA(! zPOBbhG87Z$qaDx)i2PEd`f@z5uJl&wO7aePTfEtUSz@`11%r*52yw`NF0^a4Lc z^z?SB`JD?=CF_P&h-U2_ZE-hgF3*?7!1SBXq9v~u&NOQ7sJW<+8?3keGQ{P-385LiC9XBiJ;fTMm-o<%}cdft1@m4DHtSJ4l}bAm^AZPBZzg)qLq1sR)o4cM^8gjI$w}OGOu_?ZZ#;G4NK@P=#QF*LgYj zB)Kr&@7f)3U$45*R>4nGW~L2Q8}X>2U0qytptQQbKqEtudfQ&ZPm|B&wCeH-=*-B& zU8-V|ODt2Na$9JWY^1-s-CaI)B+1P1rk=#W9(0PA9!uL4;Y~Z9XO2Tx!c-$)dWpDR zbE)U$C7wa0!=@b$PZsuy$mw1E${=!d>y%JOql=}$xZ+`@wQ{{3(L04rNRm>X*H@)> za_!4_;);Cm4lN#1%*PgHsv1%8s%tQ`nlhByq+{Wo;XV!hEzaZE>uK7(4_$>E=A!i& zhWvC=LO<9`7VgRkqx|6Ewd2*t6UJV?#%$RqU>C_{1@)oD!6Fy&P!fLUaV#iv`>6C zEzxo|;!$}|v%UH?Jq3F0lkj)QNMhsl2Q#iX$>V`ciI3eQpyrI|i< z*Oins?&ocB=ba(XibNisBlgm$7ay&&JkTGa!C0<0egjE+MEdBKdW$8S@e7$d9Ovxm z%3bbTC(Y|l$Jpr`xx-f#L*_3;y*hk1tQ>dkKTH<>(`0^bZgys7dTQ$Ry87<@+S-SYA3uFwU;pxzf`Wn)5-LbGK2cD7{rYA7^QVs=KCHcexBB+& z%9}UKOG}Fj)03~pMurCad&xcBU7e&3VtZR#Yb$|(2h#GhK)3J&Ag!&fZEfxCL}Et= ziA3t`?CR?7=^^*_4-5{Ej!#TZ0c`UN0NWz4J%n&&_5H{7uas2OG_;V=P*YP=2hKmcN{!| z%i-|yvXUZ5ih&dr7UV-xP*_x43WHZvA*(m)2Z*atRZug^H*Qt~WT*{+5JE*7u`O*R z^1$%eE6|xUa|>_Yf2O3~vXzc*D-GrPyXE=Wxy6;WbxLX)8fq$vPpb>BhdOc9#c7eg zFWUu`o6?G`4!;<`)_n6B`>79TgQF9TOLykd&H{lV4O)T2=-t zhfG;rjjTkJ!@xyFWo1QqNq$aNW>#)NF$|8VfTXgjx*kL592lQoc(d6b@76x8fBm|? zwmdb`*FzqfeoxJ?gO#0aCldqBm*sI%ePNuJxjZ+;@ika%_8`Z3TmRUU^t6K9(8W!l3!7Uz`^To{fdj3+d-v}BhtFRqzO2m;wbsJRt1#V@s}wX_>9*2R zuFa4e^1>W0?O!Z;NYNOa2=PFmX%jn0!N|o#Ev#x6Nb>$ zKQuHvJ~`HjObrds!7p!NqiA$b3Dk`b0 ztEXdN`<8*K6hABNhsDLu z3>^EpxDE&&J$_R1vhj28km$sewCv)l`X(?Vv@}$q@Pqvb=OaSTN?VGJ%QIMaE#}aV zTBU^UKe=nGzY9%PP*tKT(=o47EUvM!ZETHtD+9~^Ljni6cm%~2HMFm&Yu$e0;pOV= z6PJ}4ADdNyDo)QslY24cz+KWpz1-bj7@g((IQ4c56C*7p4gJ>7b1U?_5AX>dJ0ZZa zW4GveZPOP4QE{XFzWnz6X+!PvH+|#6++3pd zm_(!eS)#Xe8+vy1Ww3ZQq#Zh;^t^^-^DLDJSjIn zGc~WOt|TrnFxbmPlzwTVzaha=gyV>=t+m&Ft%mSK_Mx9 z2M=%GptzheL}hg?syNa6`mXek4`$>}Xtka_b4Vk$xf4@^>*+w{q=f`Lm0nKEh4EYO zR?ska^Y)G`#k7##Z0BHS-^;yk57&YHyAOzn@NyqjGII0`3<--&%&%&~H53M$o;k30 zAI|}%=F2X{^yefF?0n-Bdsj=1{|XJ(Br4oma*OZfQC6n;p4XI&Y}`j=^{ihwdxmEe z6=tWzgm{>rTJhg`<7Ma&EtjHWOnDQw5kL0f^H^1UNRY4FoukubMP~IQdk*mNa`4=a zg@He$W#7AN?;*b3yN}A8+{=FO)CG-;$4^_wWF8Z zjyCKwQmCBj@D1N|cmwe@<#tw9#t-fJ(K+FFg|;sABJ~-B{R0I?Lbl%t434Uy*n5bF zi(f>Thm~@f`OLYa@~)xxMdV%mp4zy1J#z@kDF{)asST0ZBJt$1$5(dG17#zGmam-q z_6dqfTr{z_e(3J+9}TbZxU(y9lxjA|ujKXWTY5f8H8XqbI~MnEt18MJp-P})uII5x zs%;}rtuwH5@$B2h#<)hRXn;lE+?heO%)fh9a&kQ1`%;;}Mcd@|FU-ue)U1MHLff~> zdwZUwl74>sxTeQTbv<{#r&i9vVa^hhVOmTb9i=?oipi%Nx~h9QWmL5-y#n1HyN5-` zW)`L=!a51Q`Ecvf`e4yZ87y?xh#gS-NV zMGo_Gv3%|sOA=p>$Lw_KJaqh_u!@@g(WsFrCAv5}Xu$C&yv4n`6M6BnuJMa`U?Ji?Q+VfD?;m9}0in3kfyWTQ91>KjopV!ImHRUVbhzff59;SnbkBOa;l9oCxCL$mt$hwqk zwd?JH+qS&>c3sG+!1kA2VllX1i5F+CuAJ|8cg5?wvV<}x&`X`$PszX~By~xYp8dSu zd7d79nw?u~{P(^QjalS4aLU*(KD`7xJpFoh_2VZBTDmP?K2TB2zGZlyq)8JJ5k=3b z6$WR!Ab_h}UE8W)d1>l)*q6h)dRHSynFUWv%PL;Ds3;{SA$3epa8LaT6DuRtbT<87 zi3V&2VZC}}eks6>d1hKAM)$1nOCkeJ#`cOp*b!-6uXF;9;Ym?Ao_~KNmNc3-@#E+Ov~|WAXA?6#j|cu>^`)XV;YIiqUQo zOw63eDXH=G*R9kPY@*T^)HSvBv@WZu$e&k}Vr=D^f;& z>;8!vGWhEZoz(`bEh??e@t#h~TwmKOF{^H1_6r>o zJ2(Gfk>ld0#U*6q6=bDkWWj^)XIX)g>PbP-lj3KD_8;0&99RM-tUFRuB8+v*-20lh z9X$|&fceuil~3`!rJZA7^0LiI3%sF~PKx8ZRzEj6yhus4m323d$VqWIrHhv}b#!%f z^$qm&uj^}GzNm0cTI{GOXF8=)IA14K8_ny^@#&dic>V&Etp4if*;d)#ye%_zPvs$3sU14j(@*CVfFk!{Em4yB1atZ7i*9A3b{X*xuUe zuIX((4K-z%vuE}&@bdQNQXW4mvUktHJzKW&oHMX+aB^{R_w@Gh@$vHXaCLTau(7wc zw6VJX)LQwZg278ytD6?qrh3;c>>O`NUG?zLp(62Xncbm{R}DXAZ5wdsobok&MQR3I z^~2)NUq93CJS1}btb&@JuAZUcEi?0bHVzJ;0#^?&FCSlTPj`1u4;QCr4z`wejBjWu zUz9v+Xnb1q>MeCmO=S%gS?y<@-oD=6egQ!tA)#R*f&KwL9`3HrFP^=4>ge)VK|m}x zAS}ei%KDMx6DK$4#}?P^{p0e2jvu+{6yp6TrlLHs2W#YN!5lu^TwtY0drj@L7`!h(NU365ustAjsSljsMRm*EKRTLUr{#mcxvqI=j!V1 z>EY!Q8W$H66&V=?g5lUW5D!O$h6MR}dwaM7P#zA~9tPy5M23d=dwU0j1c!jX_40KO zPl96#l56BM6cjD*Dnghqn+I4&$EHN7||Hmj%v+tJeA(O65G94B{;y?OtB zs;epLmbH6$T6CbVS9nr<43OBESPTB5 zX>Vz6lZ6?&9tdo}1(m1jB-y4OLwQWgqZz5Pz2x z=0k{5lH+4zA|paVQcG&E&G=RJX659hr=}(W zD?w%o42+13&Miy!j3kV9;xSG2wKWI?5{ay;gqN3s^e#IiBPB5*CMqnt97pN_H4TpT zbPSG;^<&Y*?h$fxPeX29GoH`@GCCY_W@&Dsud5YDoLF979zeoSHMKR>jTm%O6B=D# zkA^bRmS!MLjZNsf8jvDZR3PA`#Zb$$vNF?>p;RL&H9NPo4x1a()ZNg~)Bny(?WXBXDs@C}%zR$}|` ztMTEER*=v4O|N{OZ-uf>Of8;(Yi+^dFwHoSJcDc=B+$)Jwgv12(1L8N5;PqKELBom zQd(37gTt%p(Oo@QLOr4q-rU}Z1(`L}och|T%8JsGqP(2!jFj|*^np)r-@W@lLGfvE z@#E)DD}BV#p^5GU#CU5<3l`TxYHRQA?(ZT3f`QoD+TBH-o@mE3^%{rVUgLb+vU6F7OR80!>&Pk=WTo?(6JptH5>;2*8?vCO|hdqN{6A z2+(as#rb(zdE~YCpFXXxy_p`HUj6iOadcp8pabrn)ZLE56WZ|Yq^_>69`f)o8A3#A z?;0QzTUy)jZJ6qoZX&n=(HjuM0iJ%NL?El-0IsGcET(CbVZh?>_*PN}iA?V9>F(_B zZfLW8+hAKlFBk+S)pYx-pII{iA6A(1vzA$SAu> zojtt+z2w0`a#v>uv7@J-gm1y(aZT;GN^B<)kSv|;9i3g>&{rq8+Tdy0+Cb;w@i@SM zv@~OJ%`FgP)7skJK_r2ub+)&Xx^c}-Ia!zvd~HP&0Tci|(Tu@>Y_74fzO}avM;_?u zB@vJ%l^8I3;OJL<#jvhnGH5(#PIp%ipoF0Ix3z+5a2RwmrWA(nz_oUEc6WC7c6S5F zphQ;}Ktuv~S|K#RMpz)A7A)wzrsgJa(c0Dy2qR*5M|V#r8Rij%D$mU;MN~B4@W3}9 z_rn9Crk&K&itFqg06bU&4Ap?Ct1ifFA=D2|bhWm20-KNkpiY1Yd}?oNX{f_sY8qil z2;k*JaGwl1v$wAw&}Cf^BoZhC0D;cJVnKU>Yd}K~07BO{G-5DKI08gqwRN<1w4_Fq zHXsU$Dv*T;(3yBJBwB$Vw1J-Q?(Xh`=(s^l3A`3vQ=JuEnq4$G(cVsI1H2dLg`O_Z zY$9kJNORHk&6w(}+{QXIvAw;y4RCh7phNp1F0UK%4PZxLA3THyhXK?EG~xg(Kvscy z0Z>{kctT5SJAqgbm8SY#piwPaf&-9_S$ zjwL|z5f=Oh{Q#U<6EG3F3F6n9foHc8Na-QfmB{+?h8k3DO>H#>i|c?K4;mbxTHt0R zVD?^283G9}&y0x=%kAtWcC-WgcYt2$ghmf=W+IW;MQTPjcL1w4clH6-!Nc=%OIv$8 z$-qwigAnftthC`p1UzIW9B|}j449U%8*CpIa_v?^Yey?FBM?=AXs)UOQ+j0$vbGl4 z*b3Ygczg#K(4bd{9bG;B#Io$d?CjixkdWd|z-y8^+5r*(1qkR@@D2K|rxgpvIH;5e zPz;bs=)x*ee;?p62L}530qaWc?b#S>8>4??q(PnypnzE%i^Bj&gjN!sRAiHgDyV3v z1FRYh%$ya)r469DpbF4qkZ)kIZN%Q5qNpUWY=?zL7vV|m#7+`$8DPSVAq-KekUMqv zfRP0HrL(iI4;Zz-zoUf+%+k{{FgQ3oI5gPT4;iUzqYXr;=LiHa9btfluuW(zn3Wrw zn+Vvp`up}(^_2)jWqBE*s=TDI2!#XnfSQ1B;|R^zy1GUTi4gA-6CV{E78jpU(@7>Y z0~ZFPr46VA;}Ifw+kty`gT5I7Z0X==FBad`-a_go0h+fLFw}sL9s*YC0h3-=2ML(I zqXRT`W5x!94fr)6u&R;B+DbIK1{W=%99mmjSXxqCRauymmX9SuwSXlD48z9y1{4xi z)r^h_Nl8gcNK8u3tLY-btH3}2gBQ#u5Zeq4--2KX=Z*XXIba0>>+tk&IZ3eY> zL*CcZ2c!r5CWGz*P&VxYMluf9)Qmwl*4Edest|A(tfaKO2#I(!vFh7Y3$H9IDag!D zFK8w-w*Uee4N=H|X$Hd%@Ob4JC5Y0DnD~-_Ye)q_3clxps2#h^-)lS|0-v9{yiVDDJ7i6WSq$Vb0ls0zN`nwm^S5{V40GHZ~ z^k5)bDlEv&%>t=Fa#C`7E((unXhIcb7dH=2_BEBJW+R~~4MYq`5UZBMpq+*iz~I9{ zEDKTiAd&#q1rbhp8Q@`aGE?GXBE!5x6XaO4$NB~_X=w+&jBe% zLVQGIN&!5}JG25>42)3%HZL~*m5`jQtn{?Bl;os@IFMaM#wO;Ys>(|8Gg8t@(0Du+ z9v53u0cd(CT`0%{8wS8VQ`0gsvvP6^z}7-3*jxakx)_l9`T2Pu*@;g~2#<{L3ig-3 zU*C=+R^^w$E6Pd{rKRxFveKf`VvwL@rGl6{I4nE{gx@jI*%ifEIT`8c$snIfO-@Wo zhzEH>R76A=NZJDZ{Q^Sbv$IkYqr*Z%qEZTwm8roAMMXI|*_r7nAn{57Wg{SojE)5v z832}*4YI9FU|f)QrGvR7Ix-?S)XzQG^^yk+R#9D0Tv=QQ;==6gyljvHWPpS$JvA}V z$J5Q-Cn!8JJ~J;DbY4# zTSiJwaYlA-3dkRU?ZLJUv~dG9J^cAYD{~7w7m%NZ14BR=HOO{7Jls9p-CUfVot{5^ z`o!UposG5i11qchHnz4l)>h_bCMFin0sbC-QBmRHp#ecbAklJnb9(*)$g`&}o&vA~q@}AvP*3I5^PPZ=)sdu27BI8ka9# z)G)Ms{KWCeOXru5AKWuHy?N8b64Zb1uIa67`UVD9b+om0bgo>vqN%Q~p{b>HMO){J zw&7jtryf3_7GO2cXZNihKD=jUW@2n+W@=$+VP$3cz}D`ugT2GkCr_U}ws(B|(AM7e zq4h(@#}6DVk8qepMf!WXc!GvNIqVaA`$snS?^_t%x~{9s$1iY*Pf+B<894=cnX^(- z5~og{I3{vJ`r>8P%NG^p<>cgKq|Tf=DJFjU%o*tGw1lMOS!vk|s;ZZD@7UM?AlBEF zRIVB7YinxhT+!0LqM@m&uBoGQRo~#c;SIyvKyKc+aZOKG_o}Xr!7Y8gJ6d!j(w@H0 ztt=c|ogUd*-nwC^uXjyXMfswP_;KMwTd1ihzf#dL(9v$8W7tMdOG8UT@%Akh^Ioof zyEr&F*x1-PcX6_@vUBd<%?UWTJ^K$H5)eKjavV^Q^2%yzs+xLgCk~xay(A+oEh({y z_{3?{wZ&J11F12g z!1DtE8{z5Z;t>!L9U0^UMwB<8g?wC{-TcC$;!<-U4x-#t3U^T`!HP%(aVFelKmUnKbD=MgIUpRSOUi+reO+5`& zH7&iHx2|a@DP6uOCvob`CF4iWUb=dM0p|wr#w6yzt82kt7O{JHVsdig)%4=x)Y#Yr zv{Sq|^J;u*c6MeG#3Vzb;~>Xg{|NRdKd-GU&Cg9wOwKRO%u~{immroHXjb1WjF6ha zT%R23?dj>_>gDbF9FS`F-h82F_&{z4)bZ;Ts;!L799)NZ_b}5_uPswBbFyst`sEAd z76v8`E*>tv<5IE;YS+ylxq!VIK#4`hrx#Q}3mu5)Fknf#K$W4q4a5C3dyC{F=2)~es5DzC4?Z<3S zTkj+=>!z1fRMvJbet3<}%PDUlbdU%88WU|*RJ62>J=5ztdkIK*UHi}y4a@$+XEkn` z-+yRtbLYkl^T*EaeqnK`S$PGysZjy$&mI_QoaN_W;}$t}Mn=Qj+1t<8%flxG%#1Pd zanWGvj!Vsl!Ao=F{T;80bMNKeyKQw8pBv~Cm69Bnm|KBq$H zQul&VO2F~}HS+?E6a9#OV>(N)2zm#lMJo5s`vLcM_+|^|bXD2#-0kPsrUtti9O&$k zj&92JaS6>xj|_^4bdh*7zHMGb1Jx0PM6+O1HG&b^{iHnz$a-?VS?R;l7EZ4oBov=%gwZ&rpDN83i z%NJhmZlPJJHdNtA8VZo&HB_VrKEG$Ec4BMHypGTMegwk-K0YbictmB&6A6x;`vi`j zxpe!nv*UGf4w`pk=sd(6r@)?t!l-=G{L*MU;9$@(d@D4kSgrSbl+e{vQ#hx1Ugh@F z7rJZWiPSr`(eLCJJJjvw-yK<-yMXiXnc*rBSS0QF3<7UL9O5_^7LCudKMP?h1wvkL%ipohDCwX zPTTg%>s{J2{#7T3JXDXMFs)}grK~K$L)(|+R z^wyVTrzeIySLPrFs0s7%aPQ+}VcbHoIz0ktz;Q|rVR13uZSyls=RNarWO5rCg(!@= z^~LC!ShMgw-w@v?hRU+1g*iUqb7LbyeH;zdw2YtoMy8^PL(^~Gue}AQ2WFN(Qi4ST zI4T?G?pR5u4-ITkdXo_xtyYss-}+K^_xbfcP%Wf z?%%h%XKrSE^SZw76?J9#Gl%!k%`{~OxjcF485j{09q#XHW2mkuD}VXAomW&=d2JJ> z0UTq#t62a#(+az;L^rln_WZspzT($r9A3rObM2WCIf zZewEFM)PhIUy+xQ11C(=upc@peO_5bOG`^rT}|ckW#!8%YGAKUR}aK3H*Xu6nBFmm z4D#T?17H&i^E)8YGBGhWx@CAxPh0(x!dbB+yn9&azRV918&M#gfsVU?16CmGL6qia zCdGsW`uX_yhs2~6qFVZG1V>bZDb7YeaCb~?UI7DxTxTP zJ#0*LRG;3=yc+852CN-md7xasyLWJGYGHMq3M_s*Id<>e&&|!vwSVs}4p!#v40Kzd zGi1~NBExnTw%z*=3LH5uE-52_UP<|~wvO&qJ$-$HYuB#dxM65`^A@Pt2-Lh$wJ8uY zNTB~`^xbcA=MJ!xvC-|DhSv@BbhWiK)Krv}E+{ITlarA?3nENONl7Uwsk0y+laZA> zcTQejK|v7`1qFHebLZsbWMyPP@CM070eJ<*^B0va0c$|P@D-!~Fsb{0QNU)!Kgj>O z9ezgizYeDkI=HwY{{c_{gx}2bJDgwP17|~l{BJ=14d71(gHEbKXH|cae;>S`JL``I z0w8K?&dNd}vw8OP8?t{NAkc3=DgVKtAd}RfWI-A$Tm1(E{m*saZ~nc3rltm71bx$A zz8U8GuZ;or^O*nF0Rbn zD|{cbf5cQ<3!<@avVrCYK(ew>8#fxb+4X;BXY%l*3i_q!WqAobNX z0O95vV8m8$UI3Lc8@^C2yK!@~=w>PK^H-`j?}2OrsN8tt2l>Ax8X~&|K2+O*8aBz{;#wE#1Z{1e_P;h3;bMO2w8@qJus86BY9WsDXC8L5 zz&Gv^Jo=x(`K^{8Y2kn6^M5AkVpi-bOW zmp_NKQDU>?pBLKf5*cZr7HE}00o^h((7$U0Hmx=V!n7$s+va{2#PR5f|&6`L-6+lpDrNMcd@92LluvzN2-Gg6N@!L(v2vQqm|4cTEf~P+zs;QBJtnwZ5 zw`bKGdnTIzqyflpP5x~Q>6?~+(DjpQ2*^L|p8Uy;4bZ@1KV$oL_YZ)fuK2An-}G(1 z{!g0!>w14b*zkQX|A$TdZ|w92h#!&scJ=!c=o5hSb9;Y&{6|~-SoLP*Ki~P))juHm zz9aa(s$aMAhr1gEzg_>ThQD@iL(v}__FrQ7MS;Io?VpwYh2nqd);E3M%l?`Azk2^) zs{0p(HtYHQ!C$TSPs;zIreEIrgEjtG=1;W$AK(6?{@;Z!qhm1`eRZ>9HFNdv^ZPHp z??2(3*LlwCJkQb5`M-rw`*AQ(QB9FJH-UbM-3i~JFdMX0Ur5)B=C^J~GD`9OAR)}0 zYL;uLkIJOAHj*)6T@WP{L2s9#dV6PbU9NUmpgQ6-xzQS#l`yIZ!Ywjxwrp4n0hp&| zO*^;yo!46CRi7%PRB)ph$fk3-IOFeSJS$QrE)5z$`4BKP7?N+DT{Y*9JBpFaY1r9(SD@AIUh@e z=LwTH3ue$cubTQCE*vG|r)k7@r}3UOQ^~$GX zr04SZO{prJ6bap8OgHCI)~7y<72PIe@8amCHBLj~wK#E`e!@o3HfyJz*^b+1B4O(6 z8uFFcMvmR%gluy6yQwnQl&|$=t;292Yh{l;l%Rk$3jwLBUAv(Ef%8O-*~ z;k_2p8aF_(R?=SnMqNy4ZwaZS&CZ#(s9U#8WtcMNG`=lbS(TGH`3lhdO2Hst36ls* z5~k9vdRkplA_o9n+Nc-zUEtP z*8!8y=#W9LM-e2EY0ldEHl*`Cd>d#+TVDJPn~-9G+g=5o&g@q}m3Mfr#35e%xgTF{ zl$TnMY3#`0r48dUqAD;$ctNn?t)`gAaKCVqi1|fXZ?TS9KxwpbGw%Xf;!oLgdU;gh zBtu(C8b@qqv!KOeW$9y53}>OQ(1nN2xjxg z5bsncU6PyQshg={oQk-=+=I$w@Yro!`wHtSzyY_K6OO6_l!4j9Z}T&Pij0rYLQx z(f#~Whr4tvTC0lZVY;4^;HJEqWXH>^S5+U4^15%Y*Q|u5VGyM~8U7w5$Ktc?p0aS* z9Atj&xY$mt+dgt?=YqdJ;YFZnkJ?ow?>w|lSoPYKUas(n_RzF=x@T3*01H5WCa)74 zBFbDJTUk;=!o#S=$cl;#b;wS^AAioFBJYH$Hg=ks>^=RS!_<*fF5}6?l?q)dMe8Kw ztq&`+{u;sEylHPXgPmgDKg&Kw&&63`F>9JiAv#C&Hp}A+PxP*kB8j_XRngtflfu*_ z9OfeqkBljuOsZmxP_s<|RueQk-~zY}#a-7U4*xe}c^Cgd(P}L;^>kkl;wuru@fUaf zY>tRRCpr2eY5Q7s#0$uE!^6oo%@cs*pftcS0h20pG5Z22-` zQr$QQBs)}Gc1c5b3uKVWZXo8`_1tX-)?gC$4EX3#yEfQJF$@Z+fLrQgsJ8}RQgsa- zzAg!2T6<^7>JG7W(BgrF;wQqMhI&QMAG+}s`vP#yjJDgv)53x#r41z{&A580S5l|z z0q3&(^owu(xH{!#X(3a5@`ygZoZ7Y_!TjW>Ki?kRvpU=kur@h%%HSJPP{?CyUUkB_Zv-&9lg66IxrDRS}UKO^4co z*_^C`8l31)Xj4tRiSIggY_7T|xfHYg73m+Jd3<*fqf=LY(H%J{0r>5B{&HhPU3bR< zUZy6!JqPJFx_jAvvWHfV5vgaX%NKWslxmk9F*?JK0}^zi2w4oG9hs;8L)1!)S8ZFu zF(9fFMV-WI<1j*B{U%g2=?%do?P*8fubh0jyhnBF9)Mo==eNwp@zXMtAB9o5u+rMh zEIb~aC+gIOV&e5p5#j;|FB{_c-&Jh85$8LDiF5*>}frLwmXVHr|g)gY|1){ znx;v% z@Vrr&I$flaI7li$<#dzVIm3fv7+YIcpEW{DD01{%nsm6C1ZQ6hYdV#3B4`zFD>JlG zqvw&OT?XgCYbS!T~i&o?h-*3t15+3pE7nnI_fI3UA~rgOB@<{vo)y=0$xLTl#l zcT00nC7Jd21xU~IpfXzfw{EkHxv!bmZ@%qC%hjq^hK`fF$Es36LmHRUokb@}sF3@y zXWWlC1pb4s7aLB1;P~XX^gxca$gyG~>^SfW^pQHwE$QK2E0!FCzGdXS)Tdf{f`;(7T%K3%Un- zHdR>te3>PewV0y&E#pv)3D;Kks%>!35w0{XOW+8oG4N9HQqN6Q#p!AmA-R>6&v-B6 z;g~o0$Qo28ke6NX#wysr7XUfuYYXmS%lAZb4v)NG9G2$JXN3YgANnU{8C+$ssqyJF zgToy`L26;HtPxdJaDP;6v~KWYO5a011$_z6UeEluJFdiJSzL6M4>0-{k~{4RZWO08ShL1)z{94Ga@|2ma_rHx-EPH0Wbc0opbm2^y6 z898A~sDzd%=^D4No5(A?JZ0KSp}{jZSe=belAVL>K`$}2n*uS;LQj28cb>yt4TpgIT~;6>JmC? zOr4Ogm_4-s4EDJp|JwFKMxJxWa7B?J3^!5j$(1c>UF9Hn5yW%aU1wM_B@Nsu5D?m1 z5-%9Y*)q5bTpDnai4Qnnuq`J~onYx0FX}a)yvGT!;2-laj;~rNF1XolCPu1!6^)R{ zpG@}D?IYsbxXybJn8HS|W61a1%3zvDE7H!zNHSnH#asj{C5lxvUJfPtXWmuc)c4R- zTWJC{8N2}M_QK4>RV6FHLi#qD8fj^Wxby2R8JYg}6ek}3;P{0C9Z!ZZFZ*iIfjDQ~ z2+wUdld+^aap9M*CSv$zAYgcbgOP#lVo9G~;PMlq!7zY=*^|47QCZ9hZm&QU*kDY{ zF9l+XRl8(=JIT4D@uo~~9;T!R4pdsU9Y&Tj?9n?Cf&yp$djqp|v zXOXk^q))LbhID3T*nsx-Tm6%vb;`y;0J^%r@!8Wg(^Cr$IsZjQ$3D6f3p27fH=LPa%^J5_ob(f@_{ls#sjk`aDv*+l&}{`Iato z6~|QXPy~7pSjrliB4$uR0qLU8&eA>lFWzn`)bg=Iu)7CiJ9Aa5> zkGc*tB`}rGo~G1aE3|?$rG*jtb38?M5ffrqoGLrcxKP}_uhz!BZt`Y|h?eM}FU=~` z(ejVENw7>PI)USeWAJdAR*xy6#kFoEnzWXKRa08=gQ2jjp9|>7B(IPddU~SB73A~H z1AY6sQ%Y2oVlFbuKh2a^2Ua=3DkRx|x!^{j!NAU=zvW)SjHckTPlA!|FkV+Xy20xF zqgD-{;CINZZbiR9@8J6F^6GX~+A*S{X&Sw7QP@ zFd+yy?a#x{&T$R)vWPsX(_oW_dqAiQ3@U{)Rsy`UHp}ym8oo-DWfHM zJb~D~ERvIUM$z30X|&n1zsfYB^ra)$l;7v)s`5lvGq;@5OC*bd6$-yas3~~t-N$pM z(Ux)p9mT^eoJx<2Lzo6d)OlX}EJOWY?Yl9|VOUdFWL=3f85$j@-7UbJlg866dy92! z#)Jkjqe_K9T*p!DojlYgSVA;yEe4C%+Ya3<#rur2guxV#E@d;8^TuAa*JdEP-tr`V)!w*ZyO?0p z%L{rIDYEQZkfWJ0Ue|7X-SbnJN|0wHpc%$#7WH{me48;XPoe6Pas#*92dO${0)$>$J{z6AdiHweDtE-}<0C(0S|l?NA&YEW_hBMgXd_-E2oP z_@7hyiJMuf5WXTiOBT#$K+K#tR1#>3%6q*q%;h}oH1D#j-~C4cd8C?+Hj(h0+D@9U zGFDKWYL9$t4P{Qs$If!BN7KA=uuTZ3-u@wX`0Jx(jtY{XHmuI!SRi-(uzVuJW`^SA+`U3Z*C+Y2 zA!vQCY=d6ZUZ{;$*)FH4g>s9|T(=sO=-o--`HfU8yx}~pPQZayDQT;L341jEVro?& zXDK+$$m}5aa9@boT@3rBJvCnsW8#Q?cqnyJ4neR^qW`o}a}_4s!$5l9#4Ae$?K$^2 zd3n|#v1WIP@|}Mkv?>S>k+4v%yi_zej&Y;X#r?K1^wABEt5;Qu`_KIKwEOO?VAr!ne*)MYYbh0 zq$;ljIW@ir!Ou%xh{r-x#2=B%EzWRL61u57(Nm)2c{DPGJ;#FY zC*e!%)4xJNPg{lX zrmt45@rA&Q9=m$AEc}<};TvHfqlA*o@TMcM9FE%|-|Ul^*Vc8DbU%kGtrkVXmr45u z#|epu0A)4VK-S%(3ntaq1%ZdhWgV%PL{8BTU2N=p_BF$YzA2*JEdUMg6vmYAjB?-t+mth5`Z#{Fz1$4AJ$-k`vbiTR- zP}gO>ioe&Z<=A0_hMv1b&`CY7vNLkpRkfrhG0dGwyikpcMfXh~_dxya&;dNboQg)R z+wsCzT*-NTEv!r zXf3UK+~=4aC>l?@Lub~$Dqr=UyK5>G7j73;w%sWqF0IueIBPCXoq$UXW|GnC@cPY! zS?ms4el%Zkv2%(%LXP-Z2yIWVT8_@iD<`-zE;g6sDo{i@o`8=~m(6Y9n*M54+Zq!s z5#XnR6WhBnHlAPJb&9~8gcrHgvHQtM8c)P~rOb(mR?t0O#kEDAmslRU@dBUXc?AZ2 z4%vg>WC?f2oV!v*Yie|hF0sc(DV#NP>2>{(hFrm}#2I7W>8qS`1;wal(*Z`rylZRp z6GK~ogOPYRy)CU!8;rz1)M4^z@LEx5O2y}0=Dm%zbFVl9F3=mu#yF_Dd$({p;wh3nG zZmu48J*lzzI)Qf4YobM+tQ)Y)_ppHj?}^I67>xwUlVWDvbOf3cjho4)o#UB8i5Abh z&zzz}3?Z7lDGP3~>;4oqA&RaI=SfXwl7Q0Gs-8|6>${0o|SocWC&2cbMsbC-`$1KO&2;FxiHo&y3xoDYeyBJ1u4H!D@pSR zWT&fGR8nOM#1j<6f9dNsaT~^b*hOtgyK;3LrUl8Zh4g5CAv<4fxn0O?5TWSmMFIA! z65tb*6>CNV)m6|1*%xC9QmM?9Hfyt~3v-0_nNu*`qf~I5$LRGOWIZ`S2k(E{?xXK5 zJ4Kgjih=?7Y~ZjR{N4yI#m+|!0=Eu3jhrUsm)h4pUFkOq#&ER5!lXh1jlRH5)plBL z)rv~t_>lcFO|<)=rzPC+fh2Bgv?+wI^3Bvs+_U4?L0kaWJH&27pT{n6VsXEaCXADU zwOe@QDZ2YU&0!6fWZnf`d{{`edtvf&J0-YG(d-4vGVjIDv>YakJ7w26uZMTY-%6_} z$5c^x=Q(>vo1|BEp>t=DI%cCqT`l#*2x`-~UV%^;w@R_cUA2p6JaQ5Y7sI(XNSz*e zPF%N$EW{X0Cpz(OuUB}~LI)3gCjpCAX^nTyVZyNYs+>X>{>wc!rIniZ8SR55BS@$o z<#el%?v|u=dNF~94R2VafK7y^ru~wHIxDpUxo)1wP;wTZB~vxQja)a$t9vCNL;=^` zYbF9WJN&}Ikma3O19EX9%_!5YWd(IS(;=dQZK3h)%h#~%RF-RC9Hp5nacMM{vAJX8 z7`2~wNX>?{a@8kLHH36bZO9VN8sPRT=>))zmy>M<6X7RqbVl6zaRQi7Nt+* zE4`N)+a%l~-B~qzo{PYxq$3Yi%VO3}Thr#n)rqMg16mnc$e8o$CLzy00_Re&R|!5% z@G$4SGRw8=Au^S%foKZ182|XxcGotOs-HK2v7`;;g>5B8(&j)*#fgv|5qR6=05liU z+woFNvoBotd~FJeerZkSmPi6-wgZP}a?UjgzpjMsyBJ(MlMJ`4DTF3$E_l z28Es}Te;K|bHz1>9R(a|(tGsGN7p63WL2ia*RM30NeO8T3gSC%*O9FXVeDGvn!SCw z1Kte@iBmNXYSO)dsQxRbebeLM6cg8eUW?SUb(rJw8r3hwg1HcUWSKr%9EUH_FeHR{ zD%qPM>VY-DJg00^y_Lo8%M?Q_?jM;eEMQfT-BQ3-U|wHAiIQ0sY)&6ZJw!m6{8pr3 zi?VpF8Geh@i^I=o;Nd9c9$(7|E#mwBpz=NBvzjbWe*e;1Rud$m(dx-=*4cv2fNuv(jwE7 zQYD-p8uzzsjV|fz(q08&Ji_-K<0d=JxekUxBzf$*Ou~sxC#tD+aTSqjC4>$#+c}DW zM?87rhL&K_*^fIu&C_W1@GenrW-Kh0G#29580a;wl6;qkcZ7Nw8&Pavl{uXi1eH{k z$$8FceNSeV$|{kIn{}|MqAI@??8%J2skpd$Yb3SkRM}@ve1Qx*ElJxY;3Yh6*W9$m zIckU4U+M5bR@-h0Y(ydU$o`S6!^1debiJXoo`Z;O%gP&3;f89EVNbYadEzehR^!?> z$h{`gz*8RCnOU&sOkORxD+df~d7g@Cdx==PDROp|sQ6DI{gMxp$)|&TsEUsVlrjwO zojDHA^xMfi8-GiL)w66?TP(fQZOtIQN)>7!O zv!N`~f+x&eMT!Rxddn5*JaO`6y_ha4E`Ai<}bm%pQ4VXGS5cdfx?1gPa zIoi-m5+LzXT3-2{t|(wLKqQ~K$`fBCx93d9(0`p#`!yB**x`Rqu6;E6r653&4>Q>T zHuY~qxvR>^opO7YbY#a4JIPT|xl!phzHb6$wRz-Be3)m+QGTUygtZ3yn6b}h$#4f9 zqC>lLgm}|!hGWc$@N8(Sr_HPVwrn0o3%a5REq0bQ|AIafky_u$MXPMjI&rHXi-9$4 zV}ArYJ0;MFmWdJC4OKI$c=81VK3`84Yh7Jovp$o{<~2s&_xg1P2KE;AdZXatg-K>9 zSPBvo=M){l2U~n@2&m$K1=zmSJpCX?t7 zUk(HgtiQ7Gqvqz8M&vjQy+enYYC`bYE^ELC`aV7fRkmvD0{wGYd!4Ek9y1NA6wf;D z`>ycEw!IF%9h2(9Lx>YS`8EfPmN92YbP&Z%9 zc@29*l3YojBHtLJzJOgNARxT?4d7&wa9!F`Jq(M#4LA@r2{cXQn8ONh6q}O{ZNw7e zZjc>EcMjNNbzCKtKgwyL^|S-!o#4uVBIWb=O7=OAd=j+)JcH zlq)OCeL{+ECAR83r;Pk$o8QX4Qa0&GJ|bdA-;z+DtOG*+l+UY`@RcZJZOU_WNUoUwLxyK1XTh=8Q6f#BzBV3kCWL#Fh?mR$T5C;8k>Q^KVXby2kLPFDiBkxDT z@I11odXX}BI-X_6D^zQyd~*Y8EyeSod__Xkrn7TIsDB~aKQP8D-c(%9MkyqZCdaYZ z7}&Y@vKD23+&e_-hc@l?rgzSnZcaD}t|KDJ=(wuqZc)VVq1#|Y&s=28OBHk944=wL z$5sOvE>x`V%*1Vs+1panp;r|+I2B~)5U9y+nZ9NnKd3~Mvuzg%vzF#rmhI%9d6`a( zV3Ao_2PPhcVwFZsO-L=OGKleflw}WS!ir|E_cE-Rpk%%%&X_;s0V2PNr%8= z9t)o0^oa3|kF%1+Il4!*$;>g{gRovl39~t7P;} zz~iMafgaaMVStS<)jLQ$qjI6?QQ_=ET!Jz+AE>(~*@3#Fk(AtuIL19Ge z)hD^(u{fpJ4+3dvu%IF^(bK=7v6x8g?V!6V*@kh(+l0RoO~;@W=Dzth^Xv_z!cK#a zCzY2b`7W52s?I`Bd=?Xnp0U5yF%roHdBlhouJ{Y-@rkn=t;dJ_MV)=-K3Y2~8a;%w*P^tC^lu=mCmig;(&Q)kvZvKJM) zC7LKPZHnaAu-NN(iVnLE2*iSV{azA?j6*ZlD9YxOchYs^lmKhUU{8oR&sB3@5@!%r zrGx}1nR+leVh=2o;&rS?N#BUmGN($_wufWfX*DEl(=Mb{0hLlM2Aa&hD7b+03~wzt zBuH)SghVQ2t}E41Fn&@vQqMAV+!n-;`GgC%4}q-qAdZ}{4^r|B4MFQgX{d0?;l7S- zBwD#;+wDJhZV$u=OZIvJNBW|G{$i>Pp)Xa%lXRD5ZS}wcVBf?`V?rwIw^ZtCZOuZr zc|%k&XT7BLy8K2Cgh_r@_c>Mr0+o2)+SOq@H9dT@noPA*#z&^G=WmE^g%I;YNfgUX zM7g{+icdzed&uVT*Dhtn+$Zq;1v1R3hI#6`dB>&M1g$#wuU)5G8rVp&D9lt!%&%`% zSeDrOf?yHhp(SeuZ34NCq5JqPnOvs)=m)hSeeO*-2I~>{66o*6&m=MY=oMXt`fA4` zLxhz$09j&;vFVXstpdz(x$yi$%o{?klue8VP?Uc-}A{Fgd zEAw!7{EL%x4& z(M`gWRI7K#9A-;u@7w;UUpy%-{yZHXc&-%V#Wsm1vEMZ4pNz}V?J7f}MZO?U>bJN*`>$_!hKA;lW z=o^cUaX6pbK`?FN`rEWV2&S@O+gRC7aXd86a~@QeF%Xx7lbIF%M}M>g@*+?vTfG!qeLt83nPK^-sJLNpJ9+p`AVdG( z3K+-&dl9T39xPMPYllGkbsG*=6^PW8a<(CS|^q{cGzm(%+<&OXPNQn|GN{BI)thJ#twG$R3@Wi;a- za&5 zv-(FTwgs9(iWpYkbr14v`R>2b+q?9nDY?@iaoD-(i$2K;*0oC!1iQ;M5l*kYa-M0Zu~NYNnHOUg%C`rmdUV+`r& z7&K6OmGHz;KVsRr=`D>7VH?FU-!&#ikV=gyV9 zA6Uxj{~mrCD{05?KTO&@oNH?0(dMZhi*bIf8lJX?M609D!#4yZ3@F ze=7|T@j;se?@-jR(NDD!yWgyFOE;&Y9$ioK%C=?e77Hf5bIdLa{kxn3@P4s0CvKPD zm$x6k=Z8mVVq|F-+zh4j;DQT!yO%DGz5XEYhlk4%c5h)me2N-k%Afl%6i1e()ykDE5tERVI1$cBdXuns}x}k=;WVMP~1YXojBEaTG1C$`Jv+ z$;2j@{(Tmj`+5vXXzO#fk=+ixx?jnKAbNuv;H*J#5AgaqbpFo`tYBRZeW|oi z_TDfvRiRHZ1&^v8@iSfPHcF@8J7WGI|HW^Kox{HXlz~^h#>_42uCv@ygsuMP4@v2I zas1rEaqH@}6g$HrVjhC^^P>(x?RjRj8Y`Wt=hRToaGigDX86$PblHV`kYy%AXL8~q z0RzM4>n?sRS*(ygB=9JoNcK8HM$E!2%}g#nzxxdCu*$2Dt2dFHYN4+n2*^F%w94!K z7BS`0R1rVu=|U$2qW%?05G0c68B6d=CUarkM!wzc&f-l;5c;#u6mR}Vs}?e&YwNm` zK4Q};G3xK#a%g>(u(vPW0y%$)^x;w35;I)syhp3VN8dB7-4XL2U(cB9It$>eL3&>R zH3mm1iL<(!Pg+I`IY21J_6|J3iNJ%xJx(oT9o?d9I#z!ZP}(e0bJ5fhrTGrt3sODp zk^laKrM&v?cT-IfF#yfLEz=g?@IqL{L5C8_x{ggDnFFgmOT z|8Nxd$Re~aN6G&Ct)iXRS?FrM$%SZ|I7%FKKDGx{eDSrb3toQ4_V;~t`WYJ&=zKtN z;IxSIjgdV*%k`*r7m)a4Hn$8{d9gt8=s_;tz*-_N%M0pf=8$x_tBGH+9N{ZIc5*8H z)xMT+4>#IuwGI}=xKUBgizSNw{JH8sS;wNMah3aDMZwmGm;T>|Tgu)8<9~@7_qN4I z*O%9=#e8DnauDPvSkX<@zlUZKTt<)oeItJUbzTldnR`Nr(fJXl$bM252EgK76hR6Y zA4WvD&eiY7ik7|(OG>k|XR&^^+I_uE>`>Vlz27c+#41^+;Ntb|U*tu;I{Jl&{T#y7 z!Y#P+&nRdfaAf{gVL>RvI(l2uP=tZkh2pN}e!my*_+aQtSrMKQf$t7U{PBs9QH9v{ zJ8xFvKEOH!P3rG7;NMb=IBV+cy5B^z6j@e>B>$II`SK*hTu6PY_ic*upRO`Lh5dZA zh?i-;pW!f(xo)DYc8ar|k@-)~hy>@4;V-h8fK#(f)(_M;r}}D(o^{#-3q=uL?3BUe zgjq@SNjiTS!VHFrJJgg^U4}3A6)0!wxyOrJSCY(Fa*?A1sBiut6H;=!%0pkIOYvTk zPQOOl)nC;*AGvQBewh%=u+YnkVml*Nmc{L2*lnJve3j-`5eMs_*ecHwK{(>1-{@}_ zR!&&h{Hn?`z1+WSvMJvy?XiPajk=lQ3>BjB3s4e{C)|u4;EYs7l7-LT5A;0d&F%fF zUFQMgRjY~|zQbis7z(aFDRM1a)715{8gBx(vD_!IcS0|HVeMGNXamT$gR2-_?d(E+ zjEVKYx=k;kL(n;t1-Dhoi9mzXnV)h&rGG!&3fUjwQA}e{IfdN(Z zv6Mk_U@nWQS7e-w0V+l3MzQ1!P9r%gTJrjYk-{1!>p*X%KQ?irzmZ1+e19OsL!(V6 z?v|{56a8e9S<-h)F;QO<-iX)c1u262=BeuNT&{4lMr`3RU|U;!cG=OGhnilRBMURRKl`^VCT9oqa2_U&f-QtSNVcJWvyr90XG^q#2h`X@?i z#q~?Fg=>cEkaLAE%`Hn6X+e(?HLbPMvo3W6oqO1|!^f0(-bLsr7JfC}PrV9^Wpx<^ z?_1Z_3VV0ihHm0`!r4JJLGl^-7H!RY@q?mW=%lxDfU37*rLV*v_(Wc5VA5Y6a=MJ8 zfUEV2^8dtQzpeeHDJz>%4iovvjW$HqLz{(d8{*gcuPbODkJ^<#Ib%lVLrhA(U`LVE z(ft5=xSDK=c*FF|yrnvdRAXWoYi&u43HV!=De-6)O1!LeTe%&Sv@UZCgZ@O1Ih8`} z^Y+ceQMNdv{M|4DzuLVYggX17JmigK|1 z1j*2tu*tT)IQ|nkdT=1)6#G#@+m~1!MW{bg`?v_agS3}Ew{X+ces95P)lEI=yc5|LI5@GZYybHwMvC0iXoVDsw+d#5 zo~~!Sd|;d0!=SvVBja zuq@<1chUVs#iTjHy(H#0hTj`JAW2IFU4g+_-jt*vswyG#e$_(pc2N7M`+?XZ_BI&Gc zsf(5Zg=#1#1sm_+9|!GdBn@+K7yrUqk^C(u>!sj=zzxYyi9Sgkw!~WBcKh%G9pE49 zMjA>I301gYEP7*_p0p39&5lAsvyV~$Ca6%;0LCL2%73J(o|4iTV{y=8t1o9`{AqpT z2mAyRfmNSwjanbs_$VYJ#4c!*{eqwmQLqh`2vm6ogA=nt9xT6{Ih*)&Q5R7glp$BMj{BeBg0l z=tWvr=6`BNul(hB^NKEfI{AOtGe*=4^ymZwYwh<%-Zz?Q414Q~a`NcVg}ybW_WSR* z@BHMp$kJ^(X;d_^1%EPX8~pS+O6x1Ojv@34vs1n4!}CgDQ|}}J6GC&etarz>Mt5zn zhyID@^B*CTP#H#I!cVuV!?NUyZ@euj-jo*rurt>XHOAUU&frf+2J~1LUyyjl%Una- z7I0s0roZlqsgi1|uAQQGWq`@^4~RNX^nW6lj;?7J@Q?Mvb`$O5OG4l_KWUX>ql9?V zMpdJN-wIjP>bVn{?jlzHww_NpW}_IJRz4s2RKe!U@@+>cb$EeyiK|{l$Yr_Bz4i^C#eJ}s-FCRRn;rQpH-RK z&almmT~5_tLlNfXd@VE*+7G5m!MWq&Y-ibqSRAqZRlGu8I`=<^w@=8wFzKE~6f|H- zU4GlKqjowmJt96(W!0&Qjh_exOMR}JO|ufZDli6Laj1OacFinjMq+2?27B?| zwrQghb9AY(B2dPBX*(tK882oI3OL;kZ*AY3qdv!edbIIImp!4Y#{m8Lzb{mgBZ=%^ zAH{yQ*`xj9L@vcX8i)R!S?oc8v!<*7XJOmD{^V6d2SY3@Qe zRTQU#h9*S9zG7UxA42q{81hu|zlKX8cJsg=#EEr~w?s$Cs2@z=v^MqM9frTI!j=Qc z!#{rzb#_TKfevq4oU1bbs`E5n&0A%fb&?~-FG>>O=w$LT-D0HG*jIQ~kc~B>{&nzY zKf#e?F0hDaAr!&yc`~K79VWXT3sNRPU*Qa0|A8pGq4jb%vhQM zF$lP(YRXS@@{&+`t??8~X2|~zl{czbHsN*g2=%4`oPWsnK6rzU?C=f_ESTnhmzezM zxBpkt(eWopvoNFe5ToUkz=GDxo@H2_d|Zw$Y1Du1!W35|s;7jh4vpgk@+nc~M%fYz z$Z_lstdAz>eL$fk6jNP+H3A0GcNQ5R~T~V2{$|di6H}v3}WC4+S zpn}^JBPXz1p_l?etteq?bipUNH)@M)NdLTA!(qqPH>F$_-=Q z(;0neEP)bLPNntwPd^-A?feHBh{T#wkjbo+D44jvJBp1H)inSW^&h_wv-l59H(o*p zuqWeNlKsz$6x23}jiwO}H>)D67cw18lp>%R4J+08Ng-k*qd07ew@*;tZGQogqfY&R z^S6Sg2#c@I67KH?tl&aTV!A-pu2y9Mj1$~tZ~r46#T0o4I${|si1Wbbmena4KJ8~4 zh35l*Jm9+VJaIGjTE~xsI(Ab7vVjTt1O-uH(hin3x(Yt0)G2<^P4X)&@AG<3p=$`D?54;${=g&y9N?N6i%XVe=E9(&W%lP27=w~SqD<90HnxM@Ge2A5*VV6>=Eo-GrysriaN^md=yztPT7`rT@)iY>h9+|)5xg4Hx@1bq8qLc%wJ65to`Wn4Lea) zzv2167@90iN7h$2be7LY3W_l@9@K^PKU;tip#Jg?GAq%F|ER6z$cOr3F&o4N;5T;U-TcGS7jA{!@}DkZV&)JEsLk)I z$mTc5yF~?X?UU)YULeBp)-!hE1QqXZ4=1BB-o*BPe*O!Fk=-D5=J?m6>Q#Az4FbndekFT${B`SuT1juy_$+Wl+2Clxpedp;pTrr2%DDGg+-ZP&N2ZKY%9h;}<9qyQrezfr7ut z?J+f*%&05&W|hkJWPfm4b%cDXZ+(&jTw#MkDffR`c3vSO6Fl0_wkrmG=csmpTGah8 zGQ!t{j(_^>yYfK?<(TmK_FLqvJMH0)16H76t)0SRro)hUubHcl{G6PL;esNTT!Q}lD23^@( zrYyRy)eUfka?+-67=NCGdm249mnn_^^mp;ED%061GRn~PsD77_`b*WPa?g02dZ{gb zI?bO3l9!Q&#gOTRXX-4Mh1ekeWv{qFODM}NxLN13ldY~ziIFGC-s9&FY*m~ZbOi1TTXlAMl3%Xiw{er`&c(v6h@e@`!5T0;vYad&HU!Ve! z?~^nx3pMp#2?32f@xXRM_j6-Q32c^9j`T18by+$Q?}}f1_P?pG={>$z{d81s@VU|> zhm@iWq0J@{mTBpV&@#nl&Y$)*w~AEUEi#LsAlaaS$!dj9j<$j=m7lKi6$fl3uo zxqTjike}kJ0Pg=*dO9r?SmJ)>54j$Xs07ky&xKEv z`{3`@kvT#4x0k|FRQ-tm6|_O~cW%{~l|O1GEO&QTYBHzpCyo+XNp+VmnH&e}z*fE~ z=^<(3v}8cht?EBK2lj)6ErDn^>a#F}(>wEf$7HNh0k-OWkHmtn)b-!Ra2lx}=AvD!pQ`ygsviA0=Q<7z8sgYodPZC@k5ui*93^)B zVcHzUWx&|V|1Q|3d&DqF@g5K2*V~gSm{Kry3(nnJG5GKIp!r2(c?>MWN*?#013!X6 zJU3W@|F6C8fQn*S*F|zxqGS;eBO)k*NESpy1Vj)?VnC8gkSs{fIVS z4KOn#QIw<-1Qkj0st4V=_i>+l&OP_NyVqO0)-ZHeS66-Y{eM;ep~X<0ok?7@okqE| z{_{`SrrW)TWOul76;z9M4pOG-u;eE^Pb&2gpl`w|y;kQuCc2PGztU44k{;w@gGr z$Av^(wD`zmC3B;PIO_db;}QpLDREUH(F`Mt1rG<90K%4FQ{w#*B^BcAm}axVMaO8dlI*a>8u=4eX)C|4Iwrssu z+-_PA$NUVF$^)p=ZHyHJdP_ZVqD&8M%~LM*r=BAQ0R+}wUkx9+%t*l`#N#Z2ZR>F- zTlVV#E|*IwRZ${L*LS>^PpiC^FRA{-fON7le|UoB>`dDY-)Kj^8&}(wJsc)A*0|5p z4P7&!Q`;&HMNM(BI%8*+C9AZ)WV_$|JU0$|G~VJtTb#Ql8o1d%>8%b+sO2n}WUu3X zUdmzKlr82>PGi|t)1P&ZHGSE-igb1rmhT=X&M#HsuE$ZPtjM@Jr#H#PP`z4b80^1$5mBxpK&4ona{A4rgh3wLV6G-HJXYu#_l}7A z+(j8yc#S&2WW}bILB7xybK1?|ul+om{pw%6R8sf$&t5&bMy>ReEoMo;Ga*r^Kl!6f z>ZK*ijTc`8L<2+_GU5`goj#{1U1sAe`ihN^mPkjVrCRDwGaMSrTlL(_2HW(XHt*aT z(e7nr2-@pla=f;jPU|DQ&|$7+#C*Aw$6E2Q#EnwpIi9ubx&}o?M~xb_^vwVaMv8Uehk`rBIC9=_0d^_o*FH>AZyv=cmH-RUFPwR1I*JxSeQTr!P4Uu}}8d7f! zIF&comHFEEPFyO5tvM$sKXh^!;>-*a@er~nzj3Zypear`;)HktRTG*{REB4>m|H;l zL$Vwz50Sj{r(a6p*FVb(4Dg)Hxf9hkJeRwIiinTxT_a+ zTPQ+kK-xv-Xy77sVJ26?S7coff8fGefO}0XcLbq3>E067^_b-mgilyqHq5OlcIECc z8d1|Cvvw^ME8l*knrWNU->IqY%8aT^iqyPB-2xhQI$f)7)+yd7LPq>ait$&L-f559 z%|ow9E)8u@=$%&moTTXF$3$3l!IQ7~zJZqcOEig#DsEmo*G*Adj8f@!QuoG}Cxg5< z!g|#W-)jlB=tYTSD0^+H&rWK$Xm#;iS0gY{KDo9-dZ2{~ZVXowmW@ePcb(|nv+OUi zhgozz9Klz9JY`4k!vdzw7xskVsWPAAhxdUG5*wGk$XCFo<%F8!YAgu&m0a8H&51qv zX2m>Rr?E-o^xS!hIvYAh)Y8@JZzw54F3*w$9!`ZhnkYQ8%dcGAu-x#Li@FqNW2G;p z8lV`EsmChs?@Mx1s(n2!bxeK8K<7Y?cs?vsFsA z#h>no@N6DKujNW{rOxL@;;3~Sr=5NLLSY5rnSQs*2Ym<`l&1H`vBMABY zBipubZJ8dvZKx+=UFZ^`g|!nV??jbOQ(D4LrydR&F^fxmtw%_5ki+@nnwMgAm#3={ zO!D;hQczHv8fE%DLUFl6rljw-9!?}nqzX{R(nQLxR_-lg4NGv+?yN9zX8Q1ApKZjN zYb!3hE6$KWZT}a`_c~bBc&dwM9jqlYx~klGQ~lCBZmBM?1)p-0XDYliEAz6DK*v~7 zBP*vhIMNCEeU3#^dI>d{r z9mC|g4U9&)qLw8x*;9zQZ4A8IJZf#$UG}&~m42BCdzeq_xn+^9tg{yxACdN*PV{%uXbqe9_&_P9>W+rg$zjrEH@lFr*C-kP=;zZGFV#hHF z3{P^Rh+m8*)j+93G^2a4hVgKl7nNXeskFjm7C*OiVW;Z@Y?0$g=P=>jSQ}cJy$^3l z%`+aN`eJVr!u#-3dwsFT-5YI9#X3|^&B@nhK3pWqGlzSGb#=2{_N{qUXOZMUXZuoH zoE@H^HWIR*(59U)L8pN2P^}&c*Gj!t-KeQ&(@mtyb*O}<{XFV8$13VVLC$CYh3+9o=*w$sOyZGl$%Ww4|*L2EsRRJ#SVJSa8r1@ zvCmAW6U1=QrL^(ImPZ8~KEKMKF!LFuGh~b?h}!3n4^PS@(8zJT@mMWEf5mjBGeGq~ zilF24M?>!YS4*htUm8*`8XCl(b7p1jEcQ?#hF8LCk6+xrC1!O|b#jh$vgBQ*p(k?R zem&y-5|@QOraO`)m%T+Ory7GdjnmE;L`@d*OFD&`vGRYQIBFDfxybiD`FV4JeK92O zqh<=1T?%t*PKK>Z2;F4FY@{W`bDN4Rq=(rwocN-%ofIxDy3=Jil^nr(&Y1tfIr+to zUg3K6BbTY=9RgGcr|*V6bC@f8uKK1eoe@qFyP51>uD&LJ!7f79YyIx4D-$JgwV|WN z2iEVM+d;c~-zuDqJY(Bv>UBZ`u25%N7^q{m&hFbCsGD+@a|X7vcvN^NPo3Y;Wl`01 z@l&r_iJ98@fRmK0ms@1-I%_#v?;C+-UQLZA@)xi}`Me>0fqA~8_rjjExT(gta0|9w zQ;Ix7*oA0{(u&txbIB?%Qq5RvtyoR4D zLEs>Gno(b`d*B2H7SV#BJ)yL{WHs_$KUFYS)=6;rF*}LKy$bKOT*?~*XpO~J3WtNb z`$9S?-kZ1!jV-#&_g2JdP`8MuJZ27RjZ$hQiO83~^8D5GqE?Y?sA*ivkQ}YR6saW_ z|EAutg_v`GhG>+N6sK|(GOH5d6el`&!GbzBT9e$Uw~*G|ZpewKi<{fnySTX{frG(9 zl{TA8~FSy^1+ zJFo*sd~zRqJdmno#+fx$-r1o}b2H zxMIP*yq-M;3po9%CHRx9_RNv{kJok_UgxSzZQhqNsH97+!sPR199?}OzRV~5s^p9K zo>37*Q^tlh!SdkY33=ORUcTzGU$>B{v9?h=yccHF!(2B@OsVdftkJn&R(U!NTW7w- z`lOrZVccE!#+tM2nlC2o=GBM11w6 zTD4IYoUrlA)^gYkj_e3ioz!MHY?I|IZHTYTtGGd#Np9S#>YDY`4X#S^rJEW8kuaeU z^6<4FUgNKJrSCnfgLFPuu#0P=mPqbP=GHtY_p0E}; zbMfI>VcnqOY&G9g!e*%Jq@z3Tu7?t7(;ccUsUe(*ZT@Onk z>wkT>a*c_L?qkDawrT~Gdb4OMlf$HZ27|+>V)>yYx~TmyX{_yjxbeOUwU@X0g)HM@ ztoidPP9B_b!qU(!<|?!Z`HdZN#>jQvK1s@QrSvKz`0IcIZ~I@eK7M0Fl5t}zguYh%F2q0it_TZveMF$lH%gxqN2jWf&v&UKR+)oFZX)^$N4Z=L19r*aY<=e zS$Rc8Wo1=Wb#)CWwY9Z%b#?Xi^>BDY0|L?5*wobA+|tt8+Sbs_%%`dnno21s0Af{jZGA&ya|;0R9Rd>B*@f!q?H@pc zGSJ`G)7{z8*4m860&qj90qC~YmgXh|yt1?imYa=-@;oIu=~+TtOmt*;SSVD&!owpX zqoSi@Vq)Xs;uD`GKL`J)DJM4{R#;TL%MhTb0zfG#E-ZkU%!d_~RMfzm+B$ps2Efq0 z-N?3PXw>Gm&R#TTbbMlb6g$}4)z;JiF^K@xsJ?;0;o;$-!Tz4E_U49K_a}C?_AZ|O zp)t==Gqba^(w`?K#6*RM1_uQO1Ox^Kh2T+v5*Zl&Mzz}gJf1$-+*XpY3u0h>h9`<5P`#P zR1d1NwV}GKw4%Oa_|3{TAu%yA(Vm^nkMCae)@4V!>PhkKeWZAZa&3$L>^=Xaf~tB% zOBZg5oKr;Qo}Ih5ub-cPU~p(SkX}e|NO%+=Cq6bZ9FikMSorsXXD>QFIX$cwzk)oCff6Y z@13R^DGZs-KIJwkbaKnnzSw!^cF`xU3lG9d$4J-(B`;o9zI^GTysVTYC{nVQGz=fw zySRCH`2_|A`g*##dHMy1g$8;*wKg+0wRG`~NX{*-s;(%`&(6*(EUT=lD9Ou6iU|+$ z_wn%$jZMuf2FhLyZ$tHUH&^Coq-A91m(;Wk&#n`Z5Plr3OLUN97)dq}-Yac6!^yjO z$2+LDIx``qpt=D$Loe@<**ZS=Zhq#?tI_`UcFadA7EVr1-cvGHG&FVYS~jK?7v^jlH^m%%b=tY;WhHs2iNC(C z2yjjsqZie23672q3k(X6jtC6S9--jmW~QRyJS8qFcuG$9(PQ)5`g*$8FG-4uoINWd zeDe57QAIsVHy~hNZx1(T2OBFh!)vmq4$yAA=pUNfLrqV=kCFSVs?lR-cP}s3N2YE` zh{2wsVCTRB6s{}ZM}fTfzJ#*Dg_kVuwVn5(bE8jl=*Q4Hvlscw=!yz?popl5Nw_Xs zJ+;)jcv)LtRqC>L&FtpN%qRL|Cpkz6IWOqysA-tGds?ZA96fsc7(W*y1u+HdDMj7; zCWaacVgd&lDT%f|Obz$uhjYMwp%G{oCcm=@(NUNWfb*0{lEYJo|~p zk*JYTbWdMLjydy3>O*Ig-E)z{V=McPib*Tpd|>_1!Yew~mfp{Y=C0$}z!U}Qh=$|3 z*A?%DXXj?Xrr>s4mGt*~o|-sBCWo1b?qAH(oJedqaIl-wf-k`D=<}ffVu^eH#pBCU z-Ke=eMC)riTW^Lwa!JYw9pqpk8;G^M|KQ%$bArN()=~MD@a~t>_3A7q=2K~TWjs>C zxYeAmt#xQlUWqP&_k3nMt8nSEx|XKK4P9l{9L(1iNr@;wT8hmx5zT$A&4V*DW4PC= zZwAqma}$Wv*u0k3oB&ThPkmAD_X3^>r{z6MYkS@gP0xq7N~?!(M2(Ozupi*sPfN9r znUUf%wmK!$*FPpb;m%a^?d&u+f^a6?sK!OQ!|ds57sH}l4b}JgTu(56+@YpLi zZnwLQRqdz5U;G0@n-#NKXzK@ZChLo6um6e%=>mYa$i|Xt0OJq$+dU#}h zLsfEMbVWx+lxIjmPltOhQ})um3MUHxZBkUlAkv-tQp7WpS$P#lws!aaN0-+Zs)p$g z(vj|EBwJZrdPjWpirypNsKf%)P`(`Ee!yMZ|%o(3u=9mwuMz*~rAgAXz z$aCbBi0Bys9<~Dtl833j>|r@|g7(7(87U#bmu(t0c6L?<2KN15$L6-T2#C5Uf_5aH z!{k2uv_`NU;J3bMDQutf%%?X53^#X0d;_xa2^qQB*;zT;R1Vq#Vf+4#HUkD1f@Les5`RQ zsCcWvlu)~4W*?Z811mxF4G*9vUeA6aBq1TCpkt(>WZ|G8*{-*V z{lvJBbaQrOs1K19=I!Ad2P=+sa1ZmeFC^p@yKqtQvdUF86{RaGmo8n?msh``Z)AE$ zft{S^{2?N8hN++wvh$kvtSxWfeRzc=j@<+kvBGhPYIxf*{Sl0JOkI9f})D> zOP4L(A~Lh{su1nCx63O8WTYe%d+F%u>6uyCxp{ey3GyE}c7$SqlzJpOuU?+=pO9Cmu*5)YI<5)eue8gdb$R;b+rv{-Mne2rzm_{-P+#L#Kh7{=aP!_o}{b> ze-bsy`yNi7VWEB&tC}XgYAzPC$5@K^BG<{^73b^-o}$GyzN4cjTAv%8Ui`3!jD(V& znf)N&krOAuzm-3E>eOjbaS3s8Sw%T1DKP;-v6Bo`+}vZf#k`6l{QL*G*hoK9u<;29 zi79F7+%__LXlG|{4@?{rV>8oxhQ`*nMFm{ktjr&nSw3}ldZfZZOiHnr5<7dr zdwY3#xH;K5+1t7}+WLmNSvY(6g$8-pJ+^mrv@)}`G;j*i{=8!t=I8CBM9+-a%P7Xi zp`l3hqUSnu0=1x`(F2teM@1EHToINryrZM5uWxYA%+$>K@nd@jM`s5s%g1(5v9+_a zu{Jl*){v3VwsH>(yvB7@%gNQk_`dEX1w#+Wq}sKifEg7Q8XOSd%7McULzLPcI)oKfl0WVAuwS1PA&7qrwkN+SAq1%E;il(q&E8=UM*d<`z!A zzF<^0zj$D#C&tGEb37p-AwDK1CK6bCL4kpR{yssGUdHw{^&MR`InR?*pC?B9J#li6 z%!BuodirG{Mh2R&@8()$zOYMkMTAPN(}a2Hy9awZSlIZ5goJ|`hK7ZO1Cu&F5x5?} z5lIEE2p9-hv=I@Zz+&@qw=*-kt$))jwj6p41;qkCB{d_jxCoY)m64H_mX?~9nv#-~ z5FZy41?=_kkbv-*kjVT2bXRkINiJ|3fF+-tk@PITs_$iACkBh1{7k&PK|$Q>#k_IJ zg(FTXF)l1VHoz|;J_+=Ux9T&pfGr4vJhB29_y9iz_yega&mb#1)Zfd^$>xEnshMA1 zp07Bn^Q7F;q5|L&0&lCLvZ|)04w&w> zz>lk`D6c3jEiTB*$xcsxmJkyWhBs=RpE$V$B}RLB#+TOBH2`m`5z$arQ(0b#M^%uU zm7NJ3t!IhPVq?<_DjGZb7hm_aAUo?}1r@O3#`?zIj`s1nh0U#%xyg}{1rl;1LW1>; zB`l_|vak|`X+tzr)inUe33#84O)Yr$6Z|wcBjE75+Ukmml9Ezb7Vw#p6Jn!7g93d0 zeSL#M0%Ecgy`$?;9l)IL>Hv2%!RzXP7g+}UB;dB?W~Ko^vB{N)<{sS4yEikF6R)u? zjU9;Ak>QR$OwZ)T=gmDICxI{dihzuaocQA_+{oKSOh-Gi1NaS{J*X~ZCvalAx;i_% zyE{Aa-b@SdEa8A8Fl|_NPBze4AceSipc#=-iHQk0u%wXG{ue_7eSN4-WMe~9b7MmT zm;i7ki(s&v^t9yUgv>51=EduUwS^D!Gb`&GAI8ux=H9p}JOpisR4URP&Fdpkf>UkAMB%JSj@;O69H zWoKmovpy{|H6u5#q@leyqie9ew|{T|)zi|{-UfVQ;IY?Mm4W8@*%_%BNqH|<=2yRL zlM?RvN}9UkdLH&!>ndof*L0^J=Q zt*xyPBH(TV-!>mus-?@sJH(_wAS7D^WaMAR5O5S~WC+%|GKs|v4-QY@MqW(5#0`&* zjg60vObiXZ8txt(8Xm=>F`x`#h6egkJ$-$Bz0eQ9)ZNw50ld%_;I0FmZ32OU27s;+ zxPk4R-ROa#k+F#(Y;QGc1U&?V+}_sO-rClRK)`E2a0QT51S@;F19%}>djA^ta^=em zvZ1jJ)ddSEcrk{>4i67vaAUyz#}4Dha9A8}ba>?DP~Q*^H;n6V>mSEra6^NGAYuSM zeZBqt08uZHUKbD@UU*2LRrpUA5NO{ZdJu=hfL~OeT~l{QeO1$7U#@3V^DuxjI)=lIjlUQl!GNd)=xlgoa&!=l z9!B@#2AcZDup=WQIKUPLJ2W%|6dz#2V*&!~MxnY;-9YQRQQhFYr>DQKA3ZQQgd4>S z0y(#Lv=_j-F@4Ro01#LYNJ!Lxt&Wa%^a!$P5Q`Z>Bg--i;LTOVWi?H8*#$jQuSNz3 zM*s>e4lvaRnhX#11F`gW_xIGnhj9JFK!hWsVeFNwrOjjFv2seVmA&M$% z;q`ST&vPmphbKod!w@4F00@H{86Cl5F_^yArp}&rWKA}F5QD*vjgC!>U`IwrN3mEO zUd*uf!4+E@S;17tFc85~4+BAR+o&4tAsZJi)` z)HgUjF)@b4jp4x#4-G@|!Yejl0|*K*1f+rN0Kx!*0Q+Dk637vZ+|ivMUeZtxw7sUj zwzjn$+Aq3+P=Qnj2GPS{U8Yti)K^y~g(U^X_F~aEptg8+u-H++9#~C)0VEtb z)YsJBS=}~*8AP?h8+&jsMuq`<;5ujkG#jAaU2Blk08`yy-$WwYz%pv<0C6C|SWkC* zcUp8yV^dpAdlOiG2zYx35|VUpAD|E24=BO{fsNo=L42gRBqKIHB)w;Fa0sXjD3JDm z$qx?=0Uf~(ceZv9f=P4_LE4O}Duk7yaDzaeW4O`LkrB+$AcPt$w?2rf9=z-z@c|@| z2vNN#P}z?}rboAe4GsYwGKji{+6H)SGYSpCK?4OE9vlQ*V@Jma$})37L?$sfAggl# zOct;QN>o53@(+SIMFy}qUnUQxT!cs!@HA;sZScOhN_d6i_7$ZggVu^_vM? zFT4qZK{WK>sl#CbSg-=XV#MNQ1(czG0O$|2BO$xM7>GvjR46MgE(V5Mc3JVmmurEo z4P_N2McK*ElXKfq$Zp6+Xotej4Tze`>asdiRdz{H?(^8BB1AV9ky6nIRxDVvU<(0X z&|@50k^KXhk(V=b)5Fjf+|yf?-_Y6737%mCK+A`~77SSF?*|P5>(By&?gqOL2z7(S zU0GRJl9!$LJTo&XuP~Tp!L7KWt|TktSwd0~c$gsp81T?TfCqkcMPYG4ZgXQUtgJXA zCZnmdcOWmizNfjpt+}4%*UXqwo4{`z^rVFWR zH?*Rlt*{eB<=X)D&|(Kq@pk+=0`%k;jKc+xkw zH8wTW)mH*rwlF6zC#AG1yAaq$`IT)=9o?|BruOWpyRE4$=dlPbl0Ep6Ct0cx(iz2{470W`G>B(}0;)URaQwnUatY z9RJKG$3K?8uqYQ8>=BW~0bWyERt~JWjLg)8%)Fe6y3*$f#f=~$TUQB& z1oAF{k}Abe>ZAl5Kymo$j*jB2?DS{h5$Q$cu-L$ejG_WyrI!Fxx~irYBtjsw2ZVJi z0eE;lFiOE5Tm{VPk`fTU&q~jTk4*>)3lGiFb5XC#%}NgmPA;p3*HrUd zj)?}|NK6crP)W`%%!mQ0jljS#aGntE=9QQVas~+?(*h-epda7|f$%fr2<7BtXJrEK z2dV@u;u902h`eroR- zm{OdRnvs$a4?Mas;2i`81O`DlmB0Z1z@VVukkIh>l%)8W@Q{#Te;?nF5I1Z8gt*8^ zkT?j709l~uXehSEb8IDgT8vB0)Y zdzPG#0Kg_ECIL?@DIqpEz~2v~DFXe16VlRC5)gwv|20kEB z;Nuq<5*`^I=E_|%eCttgWI#ZWpSQQSkDsp(NOyn|5D**!zy}2d`TP3s*uJ%6q2h}{?10#Z>;-g|?!omUC;NZ~E@W`krFf|ujD@$ufH!qOU z0ls}uFd)O*4a6F3tRI=1nwpw`0=|un%^q4>+uAz;56|YIv9Y=NqsL~qZM?nQJX~$; z9ZYVS*gt*pGJH^TS70=UH$1 zdU*Kx_=kjq1o--aP=Xf-19*FSf>4K>uJ-k78aj7O9$7xJv~#cpD9nrv_4Ewy80zcX z(7bl_imLjxYwGIi*EFtcX)*L!YUgDAz~r9UV^dX`O9o~jh+}MI zVrpz=a_5dAXmb6!##NQ8%9k%IUQ)SwRYS+{-hC4b^IJwYSw2d6cs+S+YUS?f`o!MG z+VUa5ZTi5>=>EN1`od?7w*SO+D>vAn`*hYv9auDVPR(8&%(;Ke?Kb+CkGn~2RHXY{v(Hv z3kV2_iU^BJ0btVdXBmjt&Pj<&D_p!NFMshO0CM(>u%N*4BZrS3<>%pIW8>uHIB*Eu zB_twtR!HmuPcv-4n#x&WF&RY#DG9NY$4(qSE+}~XC_jkzGt$3$F+PFo??t15CxssB zN49l!1KR}T<@)=1e~6Qv z_YgbVk<(|z#LtV1ofSTLl%JQAjg^I&k&c#znu3IsoRox&ik6OniS59lll*hGfuw?m zSvfgb*blJKkdqJ+5)ppg+*)6LH#>V0#Qwz$xe zZ0!IZB9zeW>BqjFe?7gq=LM|r)t-+N!@Uhf8Bw0LCYqPkfg0-E($=`9EGr$KUQwOq z?H&WGY3(2E=|sOH*-O1M^J4PV^e1A{t@-JNH3AYc;;naB)WjaT{j6NaB-9K|%pN_q zf8y>F5Eh%9mQ_&Q3OUZhle2HEF=z&Z^G$yP@fp zQdR|v_fXvXf$Hcf3N+V*~GDW~VHFTYT791}ds&B{PULcuB^seIeXH#j08 zH9aLB3f?_Si1f8HHGN=u$H36Y?9n3=T@4*`JL?CJ?Ce3f)7HT=G%h~U-%(HcAYos5 zexj>}%)wR$bTr99Hab=zZF5Z?c8TlKY-BWh7eg~Ml}&|e2`f)%oqP~+SoN|HGx&NRJ(rin)Mfvc#vv8GB9XWMI=GrYYJ2$sS8q%jY zzEmX__l!-8fF$&cDB9Se_kCOv*;|)Yrw)d1@}EnUuidc~a7?h52Oy zDn%!Hzv+ZtH;+h=X;*r?Ccoqg}GgS5E}77Qa7b% zn2?l$bZc&M=Hr*SjtsA>;6Ji>BWB|t@(f8Kq$t7M7am-_L`J%{NXT(kUV@K&swq3f zEwGm8gf44)?Vr82h|VQc-iC*9K1p&&1N&%F5>9m*YM471fBY;mNlI z496s;PcjkiQ0^nB(7rlh-ov6~?d|KN&WQ_E5#S<6XJw-a$iGgHz4;Ufp4%aT-gY`? z8CEBkXhj{1){fltN+@dT?QhBTzoljtR@mA=4Cx*C!#Dj0R*I zysDVe0ws910AhhgJa{E&g!ff zf43*@fr&+}m^Vv2{KtjQ$tWmYxvH+Ef6v^?*3QP#+{oaDs-pC{Gs40m=cE)=G!2X& z*?%atA61$H_gVYK@jhFGe18)f$4){WJvHj4II(dgMB%- zumoOSnHa&1zggNOBBum9<<^(Ajh#J&1Y2vLKCf?Yue}>>D@{*IEo_#L|d^h)YWt*64A0smpJvHGHuBkXHtEBxkA^kxC5nw`G*VNR!aZ?XM^T_J4oxOvD zz3pR5V2c^wH#PxA*ke1#C(fWedE(^c^Vze^D)b5^#|d$TE5K^GuCZ%x0aHuQ@GjmCv;hgD-Ncctjg8IY$JS7J{1_bD zJhldsGQOj)rFu#FtN<_TKC0>Wtz_;awcwYC75^Z+JV@zci-ak0?TP>>LQ z-B|m$y0WtJ@za;huX~6{DQM`JSUC?KI(kA-NLW}{=;ZMueBA8&>1ip+hza))0MiAe z|7hqycJc5DVKGTLMP=~+Nosx@-54^H&CJZrA3S*Q@ZqCJk1Q-KEv>BZwAk8$tfGSh zP-lDrLbC_vwUxyKGZUk`hWfhNni^_XuR!k#U67NNk(QQ{l9HB|mXVc}le-`Ry8{9+5IJ}}2!xch)Hjm;0nWFIe*@Joy7;rZ z8zlh>X$gQ}7Yl$R)c~Gs5G<(F<4M|O@ArBRi4D|4-#>N!edu3Q;XC;O?GK1{)u0it zE_hbHm*1ZPNPsB3EFoY($$y$G9uQQ%_x;ngABPBO$?rD-5lG@+r~mmT{LSFS31}1u z&hOCt>ICRF9H7L1zESoQ27GTnjottZ3@K>TU0#3V9lWlAA5TVF>K_4tOA>$JMHYer zzGU&`_qhJR;O-1}N%;v0ei&%Cz{AE{KKR3LeSuXA|8^`5f%_&Q=r@1^sQYQmT@XKi z|B5Jl9T-4z7sOAr;MssU!2|gY;K$)^4YZH^cJXJyMrnCIa!e+wd1yb|tnexbNcoE8IAW46)~(DMGN(J$cqzUrGgeXrb|oitu9&;#X1Ul62UWBFZ&_$J?H_s91C zB^rp?pBnA%4L^GO69C_a{8jIuw;xx3!1-0vf2`YW|64r})K81=d%r(V_aD3XRn5i3A5%IszjjSBx@&X(XHGc(qf8^qrX{LR4M4E)W&Pxkp=g^a&~vH3F>f8+V*n(;S3|D2z{ zul~)zf55zku;`yQz(=-!E}-SN({BgRt@xTh?c+bXu-h}}{oAPDQXs#> z^!?;}o&Rcq`;dc-wQr30u}H_oFt*V5q{Y3sY3h(iQQBZ_=kt^dZ@{6 z**$`K`XfER^}T!WgYe&);xFtb{_q*LZ@IQ_NWTBV4-5XZ)b8-RSrbqL$}sCfaVSVo}t5c{kyW8Z~2F+Zy7-Ru-_uSKc(Sz z6JbB+<^I_1KMsN)2>Jo#kNL&jI{ZD~C%W76+xS1m`_rQzuNC~%!*7S*;r!~_4=}r( zbfkad!Y@bo?^XUAqy92B*koPx@Kcho;`{{zqWHh-A=&$oWN^sVZrhJW7wzj@^s z#Q(19kKO&M{U6)>kDUKg6#pY5{M|`&^Zx})sLwkO;6 zWZRzFVP{*DZF{n9Pu8x^`!mk{6YdY|TI*UoJpaG26B>HZ*o~MF_9XeEWG(2QKz&_Z zl~~7{8!4fa6M{|8Ta_78xWOcniY#$efh>2@^%Qb-;Fgpm5pcwWTVjFO0pF93$>*2i z(V^WcT>7E*!}WkQoJ@b=6VzZ`@O4~4ew7cIju?O z&$r>mGecRk8zm$RW!hJ6%5`SR=;;=rGkAGk zR?7QFC)zMw+PKRXXqPV!YyBIwS6_UnSiU-WZC%|^tov7SL|%mHc{`%Yt_FUR2vsX8 z`HCz+>ZPCuKzdcVO0EGfmj0$n25>P~Vx@HKSU49@ba=QSF@e6CYacx`Ap|;Xs}?zN zSS=?=PS~8jR?dXT7v(-}Puo4EH`GRfaalP-{>W{OO#>b#eRK5I61R?^E7U!f(wED`&OT_gXs%i+9_%QEq4W=kV_2$G~7wjvFSJ0Jw2feS_{e?`I2F4xV@wDLm<;=u4MP#49%@`f(8Y&%*w(Un%m}G@w)J*c6U-O zXypZ@X=cqaO{BJ-9>h#Ql9;Y;t7BSPn|*TVUYy1+C!gg{CB|0lxrmd>yuiEY2i3`x z>zk2dNJMQ^5HC)|Kv!4$c1O13Wi%ETQJtd5T`@R^g+28E!)UP(ZaYm#(nc6)H>G$p9W>Z4?uV%Z6lQImN`=>T&+Om{R4voHtR zBC93q8pcp@lTr3Hnm#ku_Z#NLnd8jvvZWUmo-(-tbR2PCM zQ#Mw*cw0Ca-Amtmj#Zd^J-z>)lANSY0~SN&kh=yB01?O4;XpJLs4RCGc?p;H%>q!; zKfhDYgi8ezN6+={M}sv@Ku6y@`#y=%MNQ~UOzh05T!)L>E^U}Mu8ua54@RGXOX7YC z8Sr{AWos~{&g$v`3~&5g{%+P@MU4A>oY|rP-s9={^}D7#kGVVFM5?E*U=9d5zlApY zgp7GD=S}k3TXx-M>@aCs)~kbTd&OMK`>>XHZCdD<6a=?}HS<2}L03dR z0WzNbLtCxeL=u80qu3n{iG9Tt`Gc*I}_s>5t}@_epbY`q4aDrdf!i;q+G8{&a7Kl(0Ladpwj^T}CGz#C zr_hUQgxXLC!##O~T<^53jOaH9Ej4oy`s2T1KPA;nht?G;(D!$aQphwHzHXDE9<2EmTSuF7(6suP;vK@_DU%nmwrcaM7 z3KI%c8BUc)`x7rWlgW|fXhr#WZ&;K|f*aC(JB|vQtqmqslCgKO(T=6g{dDI+(nBJQ z){VLwZEF+%HhCG)OJiji5>MmzWAlKRW5#C8H>j_uzk0~C*#&+13IpXyhKJ#8%LBKr zC}e9{N9`;zt7cM>?g^MILiHxir(-oUOjmM&1PRE|DkEj$LQHF|U%H z0$3+IP!jrYnHmds{S>VMN$$3%F`QT7Oa7(dQr5v{_)48Yhs)s?YmU-y-_{vk=pbxZ&DX*^%o{cOH6aQJ9-;!O!yr&SopIlEJ;!{o3d zhvr4eDw!UPmIW7hS@q=bR#JQNmUA|w649c?h(>DL8xa|=IjJTi#@Mj=3OgPBGO-?I zDs`2b(_pzYm@7<>hH)ytOC(%APNb}J6&tLu)ADVJy$1D3@$z&Ts(=dKvrxAzTMFNo z$BC0IwSJB-9wuNq@X^swggFK<-7s+r(L{pdhF%sN!+(tPcd`~jS&HIyZZj3 zDr}NGqKFO_%-BgyDpUbRt7uSa9P)bTOGE-)vHAD`-KRB@31@srQL4vDrOqZoFE!Jf z{8rJqEd%Y#f`nuo`wcJY2(BOj3AtmANN(ht9t=bf!9hqv;4srL$LE_PSLH#u&&&~l z=jF&N`csy}DRBU-JIX+#?{j=T81Oa(GHDCC;n!d@@;N zb)(IcN8h3sH~D$8PbV(0m=KYh)Kd3Y+yq>fPzef7^D0?)4~!c;MvZadB zbbTyK*)Lqcox&OHc}X}>_=+sp?zor3nq={7Ey=?xv&yytqRP~fF^61Om2C97 zoGDpJ%+WD=JzYJ|1Dt>np4PUh^eYMF6R?E~Lx+H$)$qK3HzT7AAf!`{VYYZazSgno zmFNjGeH-E6*$T0@|MYE3ZnwE@*_jYe#6c|?W7kD9aw%&<8uRdA=_aV$SncU>koH(` z2T%Xg22+vhQ1#5HhJ-u&YI9VcUDO$*GhurJCK$9_3jF-F~z8!N-Xj zR#S(GvowL-dX*;_pDOd}N5rqJa7(Yj9pu)fqsaFjI*&E8VN|bn9t16Kjl|CqrDrL+>f#w zOWdD0GF#fEo;BCEB?cvLPD~lE29pEB))8k_PWgJSx`ZB40I}CGijVKr$KfaoDLSQyjeyAXVoST*a+mamneN$SgDO$D*p2Q^l3-o(B9tdX7jN8`keO=z1Xr~ zmHQ2UE|@qrx2~#j_gpzEU)D-uc?C+tu%f2&kTU%%m6tS}!xd&1)6;FlWO3tOi)3@y z&qB$$q)A_yDB5gI3`iI90M+HHnOqLUoE13n<#ee2>l`rd+3jLD*)!x$zIm*DhN5G$ zPbr*Av=1G2iV5^wj{>HC2n5b%@{1_OP%HhR>}OFU5bu(5B5q2#(AFrjtMIm5^^Q@} zH*dYVXUi`l-rYyC$a7K!6+drOALbY_8b{}5sk{-TRQn3KMsBj!cWA0sJJD3KxQHi2 z#pHjci7K$kyRlxic_2#VLE%xM9JZjlRle}Y9q}noUaB<5K%45vsRIpXC z2$sasN7H_j!xb4dry*0@eH6*j*ETi7c?wd&#ZjSX#Q-LiLH5uk_A@p%ft#hd+Y1G$ zf|Bztc4oiNHHe{k@8DC`fRp-7zfQhr6z$vjuI$o#8lcL`|DG$v=dn7e&@C3$!Wb%V z>xnnQ!2S48VJ7PZkb}->=Bi+WQ>aazTm!$&^m!CrA3uCj_nE|SebVaK<~3Cimg`(+!X0752Xampr2Ox>R0Im{=PlXB(mk(nq|)-`m}2mIqh zX*&ARocnUxywHA-g=&J}6T7y40?sA*-H(jGEDQUFBjp%Wc`f7RqlK1u(4oVACw_Z| zNW2$p44Qn@b%bMuW9Lj_XAF*tf?DM9jxp7qoe}tWW>PYsfMQG1NThZtj)bT&YsH5% zExZ0g>FZ_l%GEOAHkDf?kG~8oYOR3{i;RX`*yV;OTkEBu+K5h6s_^P~J=LwwyQhc! z+ydY0#;@*X*$hfOaT-G zFWY9ThN621xjMnV9_?mgNzdhkrWd)sBjb7_ds&W*xcW|An!X#p%lS5 znFOn@3???3wy8*r%*3hYAC9J6w|CUHh-mOC<(Qx;C`KL=231YZMmz_x1*oR8z=Zdj z(u*&=NGej-S&BMQ;i6okI-k(DdWG|9D(h0M8%fSgrpGLN6PPJZMdgp}so7?#CWH(Z z2Ph0R%sXYw@o*&LE@S?3Yk}Ebl#8@C^=CTjK@UTiIC!6S)4+c0;^~Vh2orsCAyMCn zv0<5viCLx{14OU5Ky)@qHnsM|vjN=LSIzy-_uxdpI!hWB?1<|O2}Xg`XKVD8U+`^S z>#0L8ieeN4%Hz{Z$zUR7)`3dkfdE9W-c@|RqAp?a_?^5~HphAH%Ji`SY%^&Vqgcu9 zjE^v(p@9po1BE2i^<{-^%*KMCOq^7w-b?cPu$dP2-NM6amSC~!CXF?-70{O2-L##2 zj0ig@BzLO%oLY09^Idge^&&r?yfhSnJN3M>@#f?;AtLf|a>z0a(j#An%bf&7f}?-3ET1_qLSHnPMC~B8E45ZRlO_uypy#(=XxU3WmeA} zIli{AgDJQ%e_pu$mETMKpF$j;BR66e@9qIC;nCT2NyO?y=%4 z2^%gkn|r1pQn9T{sVZv)=HO9Ng{?UVp!BJfY*oP%_;e;!;=Ao}YB_uRm%#d}#Y69F zV3qEfafncBBcLQz7Sed(04%G7U-g13lQZ+a8*aKa!$12b92Xo4A>THg%>N9V)@hv`-CsHPOWz&;_tkKwEsW9J9nnBU_ZKd2>&W_Kw zrDG_~eE%Gkl?bcgWsxuJeq4`PwdT~F4J12rTAEHYFPx^P3;55veA5(jNPL3o_kA40 z4v8fukPOq~zP+?AmR%3Hy83)t3X`58^n&t+B0BEE(fJ*v_w zmYW)?)|AhKu}@i_k%)xd$mhSf4D30?5;M&-+rW4kCb{knRT2`-E>+&6Y*A)j&ox38d75$ZsZO3h*zyGrLRlBqMr8B zCrOb`g5yxiw1L?UzF|_~gpd6s2?>M|!G=_c!7J1gBD!=!y0g7m_IYxrx zHm2%}QqYhQIgymDIuE6|7Sudj7=ldE21TeA&jQb5%6GBPP7U^W%qpEj9Xa=49{Q&R z!SLKx+`~Jp4Ok02jvhm`vkQ+Rxmu{oLgBw`RZp1cnL!+WSOnW>l- zd63(egD`5d*-22Bl)9`;-i4Sq_3^1s_YO&i2*@6K1PXayHWxg31} z3MESQK|uyZX~I^hr6G;vGK@hEqo%91e>LM&?hyOzJcieJ{r2(Xn(V9#XxIIbx!HyY zHGT@W@C;Gv_Pp!EO=;IG*eH7q$zis@Cj3TQvy^EgpajVtYfy1hD!*=6grLJb9oPZF zfAtr4-lmYL`hwjiq6U*Z&kI%_sCi1eD9eBz(&uzXqim1( zz*^t&oE)>DCq_T61^l=kG}d6C1G?c2OCIs$37!T9KAVy#6973t#=mMV)3GjQ(? z9-DP{y!y3)!)T|WSdIw33zGv^rh$t~NY|uA(~+I&DR+jf7Rney1u;xrOG;St!9e2n zsr}aWk%}C0U|;<+-NtK6qX;q2Q=@xz&}T3wBI$ zt0h*_fmApm8I;z9DFY@>yrrv{s%KIBMGC&O2->iA;V6430E*nNILpqKk7QOYD2-K? zM&rUYcDFTh2K)dlQPg7!H@t~EEeR@}S6CGu9Yoyoj;L&Lfc3hUErpV`A)RF|Y2WVPoxA3!Dkf@u3Jpy5@^+Q`a%F z+ct}pWZFmWm)uTNYmO$Ez3Eq;nNbCA4i~XRG1R={I0iiEC9_gl%;&F|Ww~k9Y0(Wt zgvuGi(3f(oEUb_a5{FCk^3$z@dSASdyMDPN=&13Bd* z#nyX(D)rA8Z08e(41$ynaIgWrz#ZUb0Pl|MlFbCup?(=*@bIl5K_?eWq+gIM4YaN5 zCdy_Q%C#cq*?=ad({$afkb#Hda5q7bDEqrb1jT96vtIpBsZoPNqolGAeC`KID`C0) z>$4y%e3#ru#|@mSevpxuWHOxbLc{`?II{K!q;zFkjF7Jf^UaVc``z2;GWabVs#rW*p<(drj?aOu)h_b7TScamw9~&pF{D zr7YWezv#verWP;l+}b}rwn`epil*SyP{@}@39yG0H|UiXCtz2CE@a%KR5XvBUF={p zMtz34t*AIsNvtDI8K_Z~A{yC0c$e|)Tnc^ueyZ~4bMHD(#T{J=g4Y&?KJst>cAkvM zTm@KWH!$otbXaitWz}iwVAC|4!)qtSkQlKx5pTUl3yqlGoyyMkpI08ZQ~U4_+P*-8 zF>a&p7cy4QiJ`BeZB`X9GZ49iOK0Ce`R+!l`_h$4Yr|0`c@n2{M6O&FpHU%awN~oo z6wq>1RHwODMA1W4AT|X^rCRMAD1{Bki))G$?{Wtim%_CL$E66ul)?#d?l}UCZv$1r zq=AhV@g4FBjeHzfUF&#haknK?}dOn1*a_&q@or=JCL>RCNH=oU=Q9>eZQ1 zVTxV7SkE)S8ef+pU(`Fbc?6^;tFx63Pm$DeOoGDz6iUTHcUp0S{baZ|_wkQ!q8|(1 z2`Npt&Zg9dCVPo_N!E8=>Vm$IBNOk&8x>f^NyL4Zq`TXrPRorLn3pW6v^iB^G3Z-XS?Q_;hu`tP8gb|NZ z7`^J0WbUng+xjgYfO6$%4 z%b1Ua=rI!5IHHA&Loa@XV0vfoU3z+c0SLmp?9l>!NAud{)Y2}6X^-sF=EHgDyE@s7 zI8SzF<%#zxjCzPHSXmmZ=P=WE?>vuVdq;S70;v6hL)j_v#C#cHnvPh=2wN?-j*GXR zy)aFc8BhcaDH3U|C@)e086tUSS5aZ?Ev)Pa^_5ktDbDi*vcxRdd~rLzgSD@}$CXMa zsY$a+J9PdICH z92cri0Lwmd!2wc`qcg6!0N6^LwlLdavu4QD7D)X*&RfOsJDhxlMlH&+)TNH?u&v0cMW-e&1Uq{}G4r6L# z&pz`uvO?h}98XHWB)ef=GuY?FN)tJmh#!ibrQb4G)!0fuMZ@iH0Qr2!b)TLai#S^g znQ_D{D?RpGtoATi3BFv)t+=Jbmnp^QDmS~-~ zjHC!Uu#PL9k6??0O^d6}sQEB*lr@XQFS~o-%5RNJc!}1AZYw=OS8AHvCo-BfKT>W( zRRdzmzTi9(XfK1Q;m=7E_zT%mc&s~(n^JUVA=DAoz+5pN zq8ufM+)`07^U=ds5Vy8pjh)G8v}?-5rbmANJ$E9Pfbxu>Ghqk$rlzDM;3>K`pEKnm zmg%*Y8NQQ&+b1!lrC|_|4o|0(62j*ep-~a93#+6R^stHVk;FxQDGaHZbX`re_X;bP zeLOt<0qQ6Zq3YONgG_j1r&B#?y@@@JADg{BwNFcfP#@u&LC2rdw~HIb8B9V3P2@ki z>t_x!KMwL8Y={NP-FU?2Wr0+@mKkpt+U9M8I>PMF9jFGA(51nH&gL+e;T1OwVl*d^ zA~Hl9=|d>R4k^3A=Iy5$apm|*El~}Jr>9c_Z*dzcR^sS>E6pN&)G)BE0-Tz`@uBy9 zc@`F90`hQ$-p&)788T2syhigGG{>o7=w!L~&qGtEmgVEG1KalrbRV38{q@@X^u*%o zvpnrVkRopgI~{g$d@W`d2VwYPdTxFVX4eAdZluMP7UAmDMp9k}NiFm{WlC}%J_^79 zd0u6gu^7XO$MAWvkBn0GU}}~j6_cuLW=DqJ*<4Gu%IKyPRKYxlh~0D!iZ&$uc=ohh za|(w9g&6qVQ4;rXx0@U;q9jT~t?w5Ag6>KLbW2vsvl1c6t2~0kzR!VLy-nDpvpxey zI>rkGrh!5qA|_H`UawZ7z0GPV!cDuxTNz~L=B0F(1a8-8tp_zz7_`*DU~OGP%PW&U zFHVYthml+fS|nw0Gp#Xq(1B*8zakgq`MJj#27Mov>2<1o{06P5;1oE;Y*dWNQnj&U z2->(o`nW<02Y<#O5NOlrRgd=|Z}#H1qfnHC+9t3!YTiiT{?gU;S(FUKI^ok(N=o(O zs$9x*mJ_1#$>2Mgul=%n5l<0XlVB)=#=WYhX|^M^{dxL@rr5278;`PQ1Xe4Axx{{7 z$&Zm`rCO&v*pxB?VrME#NAtKJ+Ow1UhZou-ydzvx(#Z>Nm@`y3VBl$2@9c3d!ChP$ z({Crmiao4@8xvn4kQVXZNu3^^yo8k01qv;&Sn6!-k308TL*KUvbWg#Jghu6db48P0bqV%0iS` z&mUeezsyJh(~is3Ke|2C!XKcZXs6$@%$9c5WD7%y9<3}OtU0L4aEIz}zZO7}D@ul( zNr9mKx+vXC?GbVj?Hi2O_sCj7tRhO zJ-I;Z`ly`rhRqV$HhJ~Au>(@5aCb4$hTia$wVYbNKHo2mH=#>B-Vs7hWgPKtrovXx zfi4pMM@=!pK33u7tQCz&xonOsyoh=a2V@eA`Dxl9zyeE9U)eJxK(JeJtTh;~lQSr{ z!#W;nexP@;d$LXiR?4`qc=g(n+B?B~U21LG|% z-a50#JcQfDphYCyEt4)-jfRLWl>oQcg*HQN7u~(~_bRomt0>QHFC%7sZi@ z2kt(l_nf0#TThVA_?^)Nt||;v}NS3Obq}cM+~C54+dEtA*2y0(4E*Q$Q`4YVSL3L{msgV(rgy{RM?7btad0gOhrR1Zb;k&vu^2t|dEZlwKsar&D^@}KRre8g;SJuA7*Z*=sgLn}`ouFpghC5o>fkOv7^@8~DQ-ZqZ$>O#)Q+b?J- zfb_X=E-Pwkn0c{-vJxqsYb0=)A70MvdY`xI4|@&S%jEX*dZ*IgS>b_%Vzn>uzQKE> z1aDG2qX)@qR6tmQ@*g0QZzauIi6E=Z^=lp8AM8R9c@&6m3}Pvj#@b-Loh1`*6yI~x zFY!-8q0z_Z#0@aoI8o%(0Agha_3ny0Q##F+0J=y=>HI#+0rQXZMT>Ep{I@`7P8<@{ zg(Uuk(6J`0V||4BB;5PF~T8?{Co}AZ!j8|#dw;!O?7iamU(0|Xm6Ue&>HZVN^x0X zV6*Yz4SDCs+Q`T`?=r(JIzw3;y^b9DrTd8RxVSMO4@qFZC>y>a4PjkJ=mVdG2I6RoU-H1=9ReqCt6zgqCHDprnd$o&6|p8scr?;CDO zYMzC_m*B=hTJ&P52X(E255Xs$xys;loyP#A-!R^gzC%#EFEptQfK=MQKp!X1vONap z!adFMhUYi@w}+ijx>1!py!1)Dh+)I56RtWkr>C$5rvtZB?p2#5%PEGbcY|UK{iNaf zy=!zfF>ITT2TSD3p+&MnJzPlXJcJTU?CpVaSyKFxEKaBp8Np-~wT~^#bw7)8D4E}z zN7xX}%8SCaL%oeg4F5`HP9l$0izh$e5TX8c#tOidS(1aRGc!v2PnpazhQ`|!L6iB* z$bVb(jIKV^>VUK=h}hbN8Q!ngDreeqb7^|oC51miWnFTR$-9&kY0IU`!M&Lfl=r61 z|IC*xLl@*EDQNo0@zM?W6LWv*{J@ge!i1aWSz2Gyz#jNFR(Pj>-P@a(4H96{?9Ew< zNI?Il3uZfkVf`WM$=E12h*r9#fX_9&GUg3xvkxUVd}>Uma^MOhXGRo~ix(sLL9pvA zFYdi!5FpGiO|+s`j=mmc2-O4(hlgR|Gj`SbYWiheojca`rTC8lqdCf{_ulz>6p|&& z4|e1);%^)`jPV`?P>tA*SH$_3ArrG#;kOM`BkjRpH}0-?C;Fph&EjN^i^x~%6KfY8 zNLj+i;Dh^Fpw8KPZOL`j0E+%JtS$-YR?SlL`O6sYibwK*vN+a7UP%X*0{1Cm9E-06 zV(Qp7bMMler$b?V4-1a}&s~d>F&Y=k8SXt3|44DOuv;=EPX$RUTJ*&4H`dz*Jrx3p zd4~%wwY!QHSw=iWJD=0uP;*GNU~q;HzfTaI4zocbA=R(>@hnRm6ET-{7A{2Aj+fhb zdN!hqPeP)F8Avx@{%nK?5k1az=i-AknDKy!9->3_!I0+i7{3$y$9eO43Joc@p5t>* zx3YROGb-7hjk#zE^kkx>m@Je^6)PZi0G1cj{ZQDG*1xc zs!ps7D>9WJ^i$yox_VcCY!?j{<~QwO9f&fc6KS^%Chh|WnTH;9OOhMnYF{_ zNil09hxgI9{9dg2FEx~z_PC#}f989PkEmaz|HctXS|v;V zynF7cpSMrojYe*p$~4-XMVsT^;lnp`l`P(nK#IEY;@{*C`{(209e%+6?GEqo1Il=~ z1C=C?1Hv62;@&Z_&+<*V5Xo+-?0RvAi9v!AH=gq*%p!ZX)&3R>oY{xGxA;g0C zN0Y%6G}Cn#iGLXZg!7}^l)F$pbMuZB^t&SS{b>+}7l6gB9fprvQ0l_j%8T`{tqtfg zXFLhjOvXZCG57x8>@G5vW9?pL9+zw4sr<>5DhUm7@~@XjQrzhcTvJAZ@R_*}x9|W+ z^@grB!(#I4clqpM!H=}XEI=|6chP-i%9`&}%M)o#zO^>8qf_^Xhk>3$4W-n0_EYB6 zuNo`%aLj5AYs>v1)yXKYJ4tw0dd18#WBJDliXB{u;L0u3Ij7k*XdJ^&OP_!tJP8lx zeC68}V&V*78%n|FPFrV7Z5`J4ALAMc{AW2ykZ^b_d=m@77+uVDm&xzL>3+!kIZVmS zk?@Rr5{5oSWsE9o2E@;|agnL|@l5@)9q4LFFV5$U!UPQ&cVl(i&6K~{g_u-i@3D&$ zl`qd#8P{Rx_1*@X!U8{er-b1pTH0scY`eWl0ogyLGRL%kU80;q{CZ4#vHkgaWa483 zGC1U>yQhxr^mX8!PW%!X*;#4?8Rfe9TUF%*mbeT-h%BJyi>h!BUWrw1U}bhI9O7WE($Hxqh^)(pJx=|dJC%i-bhg=Buu#I$I0WIYGMBYM_UUBv zWw1Ior5T56xh~eDJ`;k%=HcQ+LoCf9Z}iq13MlqEtjw{Dp^A;wyUorke2`mLtLv-M zk;GD5zUJkl6RD;5v5>l5`EPLX&3xofQwtU((str+yzk7xtc*29>}G^}tfq9kk@rG= zl2k9-!;daV3x!|M_g-d z-$mvjR5`HXPcEH%#Hn}$jfvaOE63Bc<64e!UV72EklAdX{M;OYRe$j<%nw3#+R!7) zp49#9JFe~^vYaIia6 zSWr1_vB|AfCHdJ6y#v+{ENF5oj4`)k4$)gq*PsSz3=NRDEbbqOrn+JqQ1eQ_rtfc- zr$P|MvvMjp&yYpKdmT!4zGwmXW1jN7;uxNdW{)AcD7WMTt;Q!xKkF40Wm!An2SvJq z$mKDAn}JEV#|tp<7P7|$ewP9_|6VfwEy4IiQ2PPz;1CYzMFX&>X>yE__&}Lj(Wd4O zmGz)OK#?c#?l4&NyR(&MHmB>6Q75<>Pow`_9`93r_dtVNu${rg?*uX07rg#ss|pIZ zzk$74g1h^JRfay1D{n>r?mfMx!itb1bD;D+N~)S2>*f4YDYjkC=V0p}?Kpa9fOV4w z+b=T#Y_OQAC{X+Qo)djwRkuSO4O4B}2(@RN%n@e3PBbB^-tGE&4(*?N&d-{H36OGs z!Q8GF7Xoh`jvS2sR(dSg92`*R#wI>6)gh@Y#iw+WE6UNtjqZ;U0oj=e_2-zP_)Q%z zBzNHKPiwTW>9)$}iMRZ2etP*Ici*+^@6>0dX)VYZYltlkDTE{K8g#uBcBi4a#nRJQ zO2w!TppPi@J6aq0#xb37xPe$5*Jz%k$O#=s7Nu! z{C@q6cG`5@SDh(J!A1VM;Lh~eTbD8A*@yi4CzNQ=8bYq#6DwbU17C+`QyM{;haT)~w5Wgv-`zoh$XX-cg zAxb~t%znW#H7H4DW&LC7Sl&?E-oxLdF;l>)B`p({nT4%P57?7z)Q6cyv22w?219*( zNw5iq(@6h!zE|hlSUP_aX{5gIpL$d{G9>ku|4)WY64F^hR_toiA9+PwVJMv6tc>NY z*Bkmri^&5J?xgFrgQ?fcE)=n-Itp?M$|q(UXhPGNWK$rHbWy}$TTj>F8hDBov5}r% zmsv0rTDY}v9+N?4toY=Dd4klpCRLsMmG?W;6;wzGJXntN?xI5WosrNE!dnwc1`Zz_ zymVS#$dGJq=^FjbHoWhQwH%2BBG=TcxKr&7BvN}udLq5W0%qla@+O$ev&5HcpF*1b ztZv#$pBAAM=y;7Uvtg2k1PF^gJ}eFQ7G;;Q_G082w_D3-vSb$G@Hr z@0pgzn;cU3N_p15bO#AYtGg)2?-Q{N5uvIO9BcEgN1?*vi(^f+TNn^FCx=$5dq5gh z&JzN6B?~FyI?b_*Jx!A|ce{(x2ueAL1ON6jPN|^pjXzdcf|g`nDyIdS@N{7o`CS=3 z!P^C8kycc@`Kc4w#Jm?D$&eC;@Y8}HgrM(yVg1lG$|4V^SZefg3j%R+PRCsE-)xVK zA6bYQdJ2%O%IKwtX*9?vIWdnHfWk2a5;Ay(U;kvevCmsQg-LXp8gjST=&(AU>D%V8 zALn|>4*sH_yoKSB{{8QBe1L2j5_Tev!}vF^Y5swOYc=RUHQPUMw6a%d9`hjhW82`v z=;NR(&d>7HY}R?ky8c~K;SxtL8tUGz?M7+d2c}T}T9H{l<}A#8txU4{V~ED?*R`22 zM5#KfHW z8CeZ`oqDIN$zO?N?J}x=)|HLz`5yRx%jCwnb-3hlb*yw%{e6HCD~l!CmPOfcPGc$# zxYmzFP$@0a_*xg!rCX_X5NlcamXyDMb$t|bKWc26>Vwt7mbUQ12ss(=@m?im{5`j23^1M9By0FN?hH$GZYCC=1TUX5otmMi^|h zYcD!0L2{hvB!+6$Cbl6@-~Hr;rzZO$*xU~L1t;)loUpcAIz z0}J4SpHg(MTW=%CpM-<|6>Ugh77jK3$?}H$5}2fRpzme2YfwVi?W`YfTo!@fLaTWW zFV=ILafL`np!gAcm&ms?CuE8}?O{VMf3Gt)a#m))S=2#B@e%kRo1<=4+YkCg+yV3# z7p9#Qv9#u}LMb+*V@0ER7yRvSdvKQ^^aFk^zj0aZAQ1%sEUOv6Mx`4{qIv zlQ-(Wq<;ILnFF%;W~lbK!x;!}RGSF}YP?T#vmD;!#-m^jsANcw6cOEf+{n=IZ}oxn zePQWPuI*-M&u?sib8=>npXz^IjDSYDa5U&`g%SRclQ_J6#y`EX62K&qAH6Mp36IA=WZ zm+(c9)<4t;EqqlLqe zFpmhTe+TBU{RgdA8bS>-LGHUzKCw>EwIAEJXQJ;Gsr>fHI01U5mARUF;xGw@O~}UspwB2NC69 ziZf|HsP5l%Acn9{!vbyUxvZ2q&Qk8Cxj;ULoSAVb%|@7lFNLrCE7TC_MV6uCCn@q* z*KL?+^-}ARLXzI527Cskw2D>R_)pa?Q#f(erJO*RWY+TxihdMJC9{n!xqDPpSL-{u z5V(S(4Ru@{Jij0DowH->zgCW6;2zk__VuRPZX>;{{b}7jI2+^@CVqTx(uFWOV{j4& z@p#EuygcKELME!8|MwC7Iyn{pE+F2N#PaEs-2JW*zd2v?y~+9_Npctz_){e~O%nie zc&n|0aQOBzI(X#{#$Yz;3HR=K=Ilw1BK9E~IA16ic+da#wZ4#DL`9i)u($E8)Du-~ z){hMLUlGV9ExP;o#hh<)GxIyz@+_=PLestyC7eK1fD;trtFW7k|1nitzHVwg#Vc-8pdePm7rW0x9sGI+kT?0 z{j!Q1^whou&LkS#lEn+F-`}v5s$M{z#T;jo=cE2J4~emvpt)udDLQ^0nP1Jy!8BTv z@nS12bVt@+s~#}i5CKXaJZ=PDvUw+xRyo}zmTCcD@1p+9Jkgy5x$v%tuuY>!7ox8b zdOMijK|;a`{q;rKqm5YyEi&ScuHG`$W^Y&>hG9Lc7;MsAzijMmkT-7|eAB=5?g;rE#3Ysr?KnCjy~(uY8epf`v{`J7EspK|FJ9h_kmW_;lY@HhlWshVVLplrf?`!!i2p)Lk3UNRN#6sr%+$6)N^7Q%6N42v z`e!W}#>@2s4QLM^N(7&XLlePYXr70MxNo3>uiar~+@34Qn2miJ#nrvQ`ZYBJ(@n~g zt~WVSDso2jel@{dOCrNq>}EQP`~q43T=*-So76RMK*kbWsC&?I`4W?_-~l!lvLg4~ zM-(>0AS`rGGO4;2HzE1-2CNL6!FPW*gkw?(eNuc31lpd}YWS;L_zxq~?7d?Fq&q`6 zJ4u_==FVY0aW@Q{Ftve!Ip2&G?sjK1`0*sXI83B$2bq-A>Lurm$r-AzKR!-0f*cG> zxU6=hAfdM4(|M7Qm9wf)Ins=KDO`r}*v44HlqQ;n{?QN)mM20jSq%7kaDq)XHgP3` z|5rg{XFU~W)7d;(=G{HtOp_HK(61jI?j{vg%mFBK|C|h%FI};y)v627J_5?Om05Ro zW%P@_Jh@KNOQ6a!FiuRLKZd7A9Y`&b?vxo)WmR7A|0xkQSifStMSiP#8D2v^F4;_; zt?^Cq0`DW zH7x^dA92a_YCsR&C@d_ikU09=69$X$td<4!tc7`aTBeHN|F!qkaaAtc-*k6Kigb#E zAV`BCDj+Em3P=fvfHVTq-QC^Y4V&)nO}7{rv?$6u8{>G6dhWURzQ23VA9o!-n`h56 z&#dpPwPt3;Bj*(|E=ISwJ@cnVDxL&Ss3yl5-zw97e-5Ws-n-8`QToR7FL6rO9rk)d zILHIlwmRJjtocuh8P(45Xh_*0Nw62)Fx1tOUd4oZJ|a8o+koC(ckX3Ahr_b;1HGtY zT74;qY=5Pt`BXXCjRQHkR?`siMwv332j*3LQreKD8RN?@`0&u>Ny=PBQU zG5K<2(f_)U--OX{MbotYW#Zj2;!+gkH({6L3U0ciQsrlf!3V!*me1iWJ$4rHw;|pR z7U|hiczRTcfN{HM|6=Y)(_-TXk${-NZSED^Ld{_Y_7UkucCq82D1hR0dCTX zTXo|juCGICIIB6|PF9oaq^-N`2gZMLPZyJ<#>-iqnV%Kkra79Sv%k1UvlTqt#gx|S zBZ;ECnp2c8-|p!#sCsa;1}`fGd9osO;dKk?$=XFfjiviGA3LAQY@6F57aT8g+s-#U z8Bs%6hF}Qf3q8L9hwIu(9~iMfGRr!kgV|(Drlx;hDZ?7x^4k0w91<^_lA?}%E`#qU z^7^fuQOzg5Ne#QoPG<}yqv?=DlF8Mk*_{Lh=NrevFf+0Qm>iTn)Sm996JOxm6LhBF zhqGFDp(rAG=us6x($JmI>rKLPi+LPZj+4r1)*&IgghF#Aws@L{=dNCCsLID1HQ`22 z;7zy(OJoeAtbFZ|TzK0v>gpn**xAO>FebRAKfU!=`m}5N^603pYM$n<+x12CnAGe# zPeF8AKD01&r_s7Py>nA9jy7}<^$BA0co}8swg)7}!t<9~g)l07&oe62xL}0kr#?u@ zm&{I0eHwi3Aj^ApzE6HidjLBmTbQuRb4M_unq|A8^X^5s{$F!DNLqZK+VNox3hdK7>DiIIKyMxfT?~*&>oI0}}@zMlnK9?o#(jyB~BX_q+*1@_-*nhC=l=D_S zt==y#QD5HlooVEDO4B(T;R8EII=q|(TSQxXyph*;tw&IV9@H?Q(Z_F>HD?~njwp`2 zD5I)*J$W5>19yE`G$p|Wl>Nxs3@akB)RbueZ;dOFqU)6B)Zdgry+jO6O+(JlwXf zDW*?03-S5wqzn7Pi5pA~@*G+1%f?)N_*c*B8rq}^z2P*8Y176rMWn51_HDsv<(Cy1 zhg1AGOM$^g$Sg{g(Wp#1ZWZ;B)aslq#@#8lF@J>DsWI|;IIK(OWp?bCMaah9zpF(o zujDVI{KT-xaW(Q`nX7WsWsdyIi?(C=5^Rrq(vKFcEF^kREy+yg%nNrHl+GEV8h1QP zZ_k5@EHS#*%%`se?j(DXB>CQV<8aWrbLL_TnMB=`>e+727cQ;)5jj~osq+UPUU<@V zKIo&JKkLj|f*QhYbEG@Ar|P1>skakySAH(MZzf&yja!K81x~WrbCtO7d^=RzN!#uY z(DS^!!ikk8ic{3Bv%^=-FMBCjxgx-jK2fMHojUoksiS^y`^*z{5Ba!&iaSR{wD0sImf*q<{!}0RR{WnW z5??slq=+$UX4bGg=)6oa{h}F4OOzkk8x-j<++$kMgM1S&z}-oXJTB7R>{a^9;+`VS z2%g$&)i3$F;!c%z}d?E=ca)EV!2pDa_6xIeu)fVl}F zmZ_x+W*ziVN-&jUSFMx{DBG+DFJ);*aB?K>THkwZ6V~#0`_p@S>de){T0R3s62h(8 z51VmxE~+cKxQw~2edm0}ZYJxv7FaeOF0k0QqlH|1+|y64){|jGK@RGHU zBXgIZA>!B^ChVUemm1r*wyDI~v#FcJrYKOb%ZWl#<20&&gvhlR&6Tn0gk-oBU?kSJ zkLV{>8Ys8cCn<7uXL@oSGe@?o%;SIut~zO!AiCMKo{#cM>73l<+t#HTEi|fB9CCRh+5d(}??YkJn zz0TytxO+EQ;6|U>|I~To$C}>7n*enpC^BH(6c8#Sc(l$ww)v=k0&f{wlWstKh z8!sBr9#k)LMhPw4!5kho_scI zA^#;$hl;?0RUUyN3%e!h_7-Md=sl|Zh{16Tu|b1N)7a-3>8`|L@GfKRIBVTvvQd3qnmLA5JZ1fkMtm})ZQDCBc=d?g=iKNlh6|zH@{T1P zxyZXrB0={wz3Qbzm(11KkSUK9Iz4b4apMu&FP-NKPVozKna?ZINDX-!0;nzM-vmjkjLyTlkDc7gy>E?|U z{AN?4pWWcFEIyVTRMAM7ybB(BGJ^k#W=^TbGBrR zU(?Xem{DYN(7x2Pp*_Njr}G61S6{|Hd4u!GpjpBWbw)RR`|g$e%u%1<{6_-&{j*L8 zK7no2#b;hGo>|HdmDXCcAIosxH3)VmC&k^vAS&t*KPwV>P{%+f$-oc^IhTIIBp5l3 z-(s~ty6UmD6_7X_pQSS0k*M`ftyUfGm|E^4d3sx!6bpw3bH;TW=+bb{2KV;NEKTm} zh}q?L>B4#`E|%{M96t4ujb0M>2$6v{87|f!M6t$-i=8l5G8v4R8$vx=`LgxlU`}TwIyHlh=9L`K}b}hNY*3c(hsf$%eDMPa8uGfzA zxBSd&cYM9<&{ugDZj@;sq|_+Vt)e`khz)`ATzOw9Uu!z4AyHh#+s}4Jx|9oPkZ53z zqnh|70T%uF>rhSB-VrCY+)H%YYXwvnE8{X}Y8i;O9C;e^=^r?DucaYM+8NGpCU`&C z^r`fzUN(ESvK3i4O{_EBALkTaUn+DVJl2hyd5`^s?h;3Z)zz+z_OsVm5Sue^NPZNY z)IKTYy*Alnh4cKu72$4GT1(|a+ZXenLOHU77haWBQoHV_6rk%VJa?M4CKdjmk9325 z^s4-oD--xGzz0dYp1vq&*h?v$%)L!`Nl3Q*$|hxFh^+;iGV+UVzAWjFv8iPuTQ_OD zG1g>nf4ZMioOHXT_l}<~{U@H?Wht&gY$EY4Lw*%1iqLnrm0lI3`zNYLlQbAi>z-q| zxbaEkQ4pJ-ul>WjmltOmKW(Z%;~OHn>9N{Ult|g}ROH;#5}zlF!aK7@a4-5u_d?I5 zx7rvRGBV;E4WE&EWJ`s#=?SH!Zbx3066it1#=L#&rtJ%7GJ8RshR2gjaky8n(~YVY zkJjnLz|oyU+wD|SQ9&TGRK0TGyLJmJ_wrNhbq!VMxi$xbF3g$M2in-B1|M&p3b3lEVsB{b(>ssp&p_aZSPA_K6LhHe57<-gs70XW+3MSR6jbG#9gvQqN9&m;J`CQbMs50r7 zxsuYaWtBdDOS!LWvVCMkMSkgyt?F}v&c*w(Np}p_cy(>GIG#O$)2moJMtIfj%R8jp zbHNu%b|6Jt(RM`caPwZ(6I4|Ny#b5$<7esV4xtvoxmZYViAy1 z(J?YJGt!U> zbMo}{_xEwL(voH;Jm|{_v^O@k@zgVUX!+P9C^n;@xG*y=(9O!s+C4b2pth~2f1tmw z7s#=*4M3`IfV8%Ev_Wdii;GIDA>G5%OHW@Nz@y?2lT%ThB_qPYKt+KG5TAe$NDv<% zV4|R5y1*+SA}S)t2Ow~8a`W)=aIw)*5aHpIF$yS|x(7uiBqhZ~_&aKeoIUP{eIzG# zMNZ>Qg*`W;TIwnRn}E^NU@ zWift!;j8i*#?FB$)uXSG2`Fjl>8L44iHV5MkdTs+kdjfHqoJdrA|t}X!NDgcJ4;Q+ zz|3}mo97b0fS@2hCq3cGTzk{tTfFnv?%8<;1PA-O-M>l)-<|MSRf3n1055rqkd~GR zZoa)bCxGupr+Ml04k8Za1qlrsznH9&in2WLHie0jxS+VweOo(Yg-diKIEc?W3k&*? z&Z|0yBp25ALZ9w_M1&a)$r(aylux^F-X44e>lGdz9@sqm$%hYcsQ480%*+h5bSxKz z#01Whz|XhUwag$;OFi_9PKfr=Wq+4v%y|Z7qwp%+71MyE%%lKQIWbWYZnEtX>$3^& z2yQL!2x!>(uH00T;in-y!zv+vQ~HLETX3MQ1o82~(ew6LkBAO9QhHia94yj{>Yj-e zonz41`IXJrJ3FtRt*tCC%}tIB4vkJsO^o!lR+p624Xo}S?QG01yg0!iq@-tMp+xA2 z2yQ37<&%&S^;qyA_}t3kLe{{A3G(QozJybn`+m^kUY?5~z!?MaMOR|%rL%b|B zWMx(L4Aif1vhhgVkk_;e$tVU3C%v>|=IQhG*&#?#dg(F|7dLJJ6>2oDtdW)gR+D<^ z^{@qHL|P0DcmJmO{iA0iZ9OX|7#MJyT3mT}Qs9&svO$=mEuJWFkIXfn!v03W^G~AYn0qqaxc);b@fEy)l7< z)}nu_1oM&#%y#3F(lWEM3(86|ldE475DZf#`B$?mu;n`G2R%_2BAKZ^kq=JG%!5PR zo$jCgfK5V4MMVxw5E~uw{hQ_9(&V_fNKbXfgTB#YJd_-G?KpF8*THFK%Mbe?4tjn^=hzBE2FZ*e^ipc27*{LV!2*xM*;jm-0wko=VFA zkU($0R8P8gMU+^0&9k--r`61XeW9TQARO5xGLDZOuw-fSHK<43~6MM0w!xGurT#C`qFU8NgxO7fB- z!U7kl$;g4Ua4`{&-W@(2>Kd8q%CI`4r$rt#pe7Qgd;nlg@~3wre$w8(d&egT zA7*OO{NxxMc4forXJ4#O4)&L7C8EOzb->P``B6xUlN5eXSI3*RJ#x`ImNqiW*=!bmJ2y7AguR+TJ82)qrqwHab5N|Asn^h|?#kE025v!cwdI7Iu*F zNWu9+N=ZX=o{5R~x|+6u(f#`mEG%suot@phecc{v-7~Y$x-KpuA#xtEG&W%oVlxYYxSIwqE1zDFgXq+?>BV_;>!a6wQ) zR8UCbx{8M8J#$BA7Y}d$u;`e`umE3wKNo#PNnu{XU=Brt;+y@pL$xu_*tzg9X_(HE zkl-HmgsWV>qIBR^XA}j&QQ{`Ftc)SabM)&V&@X)p+Z9-x~%=kSl`+! zASlQ`ASxvzJ2xvmBRRy|*WcAhk@;CsrU!-e06GGifT5nMmX?gPk`yiKvkH&8n@7MTLZ~TovbLVYqPJ*wNO|#67@2FvQ#0HzBX0 zrnG|{=OsGuS*&d+#suC(zqB$iv(rFvM9+Md>o%?OQa5ulC{5P!NEVhK_}WO+-#kc8-DNJUGa? zIk~vGcmytSipq%@d|k`*L|(>S*=Q)J$7g$j{dq zh{r!VB{eNM%p2VIu`~*+g_PFzcO?+(PEKm+tRJk%wpxi$S%$}_H4RtzJ@N7j@^g0c zaeHiQ_P|J2Pgh4@U)RuB|K7cOy81?@=H?bwk4*IS^mXs4UXeA?y{cj;LCS6$lNcKt z7aQU06&4#AlboKBmXr`56%ig92L6I{fUmEYyQizQXNb3}n|F9-ZbG0RSRL`nc_qco z*YX4|4^n?a+B>mV5Kt zl7cw$;hs0sH`ZhjV$ z2v(jwf4RQ?_7DXNZvXgj{{t#MHWmr)QXn0nvbW5ETuOFMWl3g!b$w$)U0n^Jx|&+> zQ(IGASyfS50vP1y5CB#Jr`FVS|J+`s3@X4*rDQfNL?Cb05>Kp29g*4XJ z)mB$mmX{S57UbtucDr&^jDYhj3hq=E9XGm;ad zLX(P`XEtBM9d0ac9ll)H*xNluLxO|ffAIko3m+G0_u1OQ3q&j&ER@6DjkczSjFh6b zzSiEM?tzivkA5{KVJU-~{*_Xec0V!iIm3gob*u_hA)!@Zn%<{8yy9xh6V@vdV!w{GzTK@=BB!8 zAfjSm=b7ml85ud*d8Or${^82Zp1I+nQRw98XiqnoLr*v8-P}-HS6Nn4kdvO7P`rl% zhlGrdg@KKUiGz!aFfq8c{$_J@|7dD{bz@~_VPD>0;V(!6bB2h`+NKPfH8G+ z!K}TrvmGP|dV2Z>hQ}u6X6BYw*5+pWs)iOOCx%AGhWdN^`v>|uI$A+AUR_aHT2@*; zcliDU4&m9;X-LQNn~kB4_U@s9tS3b)>#ts{F3!vYu`I1aN2ceY&{^p0^!(cNC=lAz z%t+VR;@s@q)YSCk)C3UG*a(b(DGdYD0D(Vj>frM;4T1L2$%)C?S?J8{-0Eyk&+t@# zZTtAtP~YfK-w@aV+JVtE)YaD4H};JUjxBHY_P5tn)^rWE*VVL*_N80-mUU0h&Mq#_ zF94TnX#qMozA!g8Gd;V!JO`bcnHZfJX&ssaZ+XnlPEJk%L=%(aFao9oID^mOk&z*Q z444&c9RiS}BcOSFa%L8+0qA6Re{XJD%Ro1zzGrx#e{i4|n06OTkbV7Qqm5PVJtGst zU8NZ%O^ubM6?Khe37MU9OLJ4x^NR~}vw$mfczkXa3Z0x79UcektD$KEIy^Bqzc@29 zHv^rVgaSYl6EHxdV`DI50;q-thK7KEfCd3W5Tych+^pj2 z`p&+AL9i!*#W2u6Fg!9g)z>~S2%VXlXezF1gw)rSrh;&-4>}1Z0|nv*fB@s=MUcyy z9_#Du9qu1$$Y_`Zl3$oxSe%)Lf*jY>)YLe@1GF|e0@fRB4**EO*3>^VJOHEqK0rNP zeW%Hi?!L~!fvot-_WIJ|+QyRFK3EU%(F+nhK(XT!W7Du@0_`rZY-(-H-?+0NZj)OIu?{UPx&p@SmG&8)|DiyMgou0U(&!4UNDwJT^8l zI@VuT+uG7l6Ca-D8`?EII59psHa+UkG8b;*0xWL4fnP;wG7WL zLC2xflhXju#1ybun5z{XB>4W1a8m>8(YDay(z$qWxF95|iYAPmT9pP`Y_ ziE$vS*_qKnz-JuT$OuTI4E5CIR`yQsDN^TK>_`N@nPoC4|ewM z9&qZye#)wnjniAo8rxeN8fq(QYwBtX^BaJ4fIz_p2^L#VYjbDM$Yfb$Qet9qWN>JH z2iVkL8U>gE7$EwgVPH={9e@)|K0w1$(<5U*4!vzXr;8mJ8L)AnTY&1+mS6+}G&(#q z)YseB)dO?|0UKXqb$w}ho~m7Q52U`Kv9_wZzPh3~x2z59Sisu5ySv)KDO*+3*w8na z*RDXJSpKhZ78_f2{CnjMF5A3y*Z5_k?V9oS{9cK*ufEzFy z17ZVb0nCzMQUYiO20$Jcq(mW2^_7*SCFS|$#o6WloL3{-+RCdc%j;?jG85C9`g_2J z-r3Ox+ZU^@f-qqXH+tc0C4O|0oD)j=9!8V9tVCB&H z#fhPgikkkB=GqPz>H)AoKqhQ#7?|<|%n^Yt{Ba<+QIMzwy6R|csjmaBPH|y=es)%N zQg)7R^N?ptV?|9xNltP~LS{>63-DH&A&`dJsX67WOr$wjd`lHoYmR2>CWTeE##O49Fqp7|D9JN)I zz$?hj%g9Vi$&dF5kBtuXj;w^V_htrFbTvRAjj(M3eALy|0sj)D(wo5nH$K|mQk)4~ z<+Pl*pp^2e>RMn4O_0`><`!^RLz=)-jg3uBAT+f3gT2Cw8fyTQ>T)p0vZCVLtkn3#xX7${cRzoh;INF^>IO(^d|hKj zZB)@Cp0$9#WNn{tjjCPE32x3V^vjA4!rcD zqQat*;_|AR1~8>2NCWV-YpcqE=boLFk`f;q7Z4xkmgi1|l?ft%#JIrV)ba|DM=mbO zD=sQ52C7Pli;jy7NsIxZqN|xrQZ;apiwY}Cib@Ld^YZd?Ph$r_nHibcx%m|h1>r${ zZnoO@oIU-#E$-Px=VWFB5$ERS12;Yo#4j0XsVS+csTtY%#iixt6_piLKvhL~ITd)sgb$5s{< zfcOPOYiVg|DX@`Kk`ogW;^X3CV`CFiatagO%#H6TUQ>DG>fvT{PvuEsY7*#^nhIbf zC&tG_Mn-^8EFvm8CO#=O1MtWJQ_4yM;X@1v(!zp4!XofVVDQVwkK%m7eGTp7OL8-_ zl0a0LoRpHDmY$Z96dw^96cpg&tXl!IuWJF|iOiWZnNKgO>#l3xeeEs|afBt(Qo1c!x%MMp=0*fPrBAB^Gc z>!KtiYaX4O90S6F&;StQ`+0lAh6NnFygc08T%4R-J^Vtw?@Fs0T3DNENQ%g-@N=7n z1p5UB`1=P02Ka(#%gMpP-p&cV^e)!oy}7d#Kh&&S8z-NV7j)!N?Sk%Os;k6Zy{({wMx!Zl12ruC8t_cIFR^jSLM83_vD9 z&j2L<9zL|Pv3cz5;{L?W*4*TQp}zh-J#Aex9bGHNWOxxC$=kQAJ)XF`Sle0{o7^`x zw{mpz@bdKXwlo8I4l8?CZ(u~;9_}EKQz+w6w5RQjou?pnBKv zp{b#+o{qYb+zsg~Vq#aW%gNlhcJ->1xQK|TxP-Wvh>)O=u&|(jfDj--0bz-2H?GNQ z01UU3H4W4SSvVzc-T>7tQCQMV5afgSE(?iBN=sdrm64H^zA7y#A_DS5moJM;h{^~r zJQ!o(;<>~ntf(k0%FlJ4g@K8kn@BpA|fLrf;=N01wnc3 zNIeGJ(z9193yXubh3T&hyU$O}r0D8ta_#DE9W6sMO)lDNu3$$Ci%LvO%WQgqPDn-#^0#toI{NpG z&FtKKL!#s3;}bIqON(=XH<6th7ZK$7Q2E+5IpsU1ZvLS$Ng3cs%POb<2Y7v5MQJtg z7dkrgTyUBJ{Fl{k>H0W+mJBoQ=YpKy2^T8=4LcD@kt5czJ9^JT6AOz@xvd_oEP9@ zA|*P5xsa7Qg-wn*8D}8DhEakV7~z2(uM*(G>gk4Loz0tm^YU4BT{E9>?>krIglFjD z#?DyhWU9y3*0K2%HjV7zQ!_HNb8_>E%gA1rRW~%gcT4g-HZ;@rW80X3g^Q(z1Q!b{ zI}<7D(aVLwmLfm)iAr#$h4}b{rdITBBH~~?uSg!D*7699D(G98s|$T(7o3ScB|&I{)-UQe_&4ISWtwZ?LZkDY;qhmV7fg7Bo( zjkfedI@Jx+$SyciYT^&WwbiwG{t7hk*+ptdmW^=aEG#snghb?LNl@2oL)A(8(ko^* zd)CmXFN(|SI(Ym0x|yj8GI2gEhhx5B9oniyArJA_!#g< z2qc%aoc%&UMKm$W$3%h#)G7<@8NjjXTKVP4XF><1QZWK>*AMoPHrZBCr|3`6Qy-T6Z(ta8TA;DB|v z(NhosRbd5}-)K!+3SJ#7)M;7!E_vx3HXgf{e`-NNPG(LSq#J}F?JbQp zr8y~a5y3vL*5+_1pfYpz92M0$T4v76;?gp5ayJ!}Z>h*%6=0{MqGI3>x~6>B;DPxg z3sWOK9W5;_Z5>^M`$k6K-#cll-;%$2nS~r11rZq?8xOp<0ia=HW1=A(ZbJK8>dFhV zfXf^c9Tgtv?dIkk5}%Qk78B^@6P8k3T~kq1RM|QE`WWv07PPf6F(N!Zx2|vY*&fSz zE`D(t6-`~EhgOeWLBYk_%iY<=R9{nB_UaW0$!j-NweDLuxOxD;?+bZ*y1P0*wzIXe zFxI*$$cPX3a{a{zbRsGSW+nz|3LsGW3OwP=J z*A@mqz7EjT(yLEsxcE58yU>=>g39hyI21}1S4VKFJ$TfpJ4vUhTI^Y8#ZkfZfO z18q$;HTAo?M&>q7ZUBrQZ~|cjJV$`X#mU~r@}YsIoDd5M>cR78I|#UxOq{%zF0#{; z;~;J?PYexDt?eP8gUm4+{O-o=Ot_D2*PVoLDV2_*r_?p#kx z=j1j9CA*;HwQEwwMn=Xarsh_5kDq|z45-rpJWn3m0w2)S)a;S9y_1WZyN9P2AWu&Z zcQ+szTT3%zgL`*W<*y2I&=R42*jitEd4x)Ej*VC3%GIk^fJehhcb0?@B(c#@kl;^_ zk3YgAf#T&EQW9c(EEM?n2ZzT9Xt=~=6y(G>NIUbrAkQ(dfk4D``MN47E1Li^hS394 zGYd-_JNw6v9UULT{9tPaS*$FtYb~cY58tL7=B_}Ds$v}>aw7)(* z)Z05WwesfV^kpDw8tSuT#CV`|d$jxJ^_$)I@F=i%qi7kJm>B8KkrU&d9{(pW`t$kNK%7BIKB18%vs)guew%szMk>jCas z!0y_BW=nHZV|{IPC7CON7h&%gVWT3v-`Uz+1MjLWettde`PSRLqZ0(!8(Ab2=ja$& z*v_+`XJcUk%ae?l02d1b9S!(h*tmow6x598x%ovTZ^++Lzk5&L(8$IXHgzW_=O-|7 zfqghTJ2^Q%hRFzq>QqdR09gPsH#dVpG%>z!ps%ZaS5r+@S@EXqb!kZnm`8h=pYIay zXS&44$A4J>__)B|6%!K|2bFvY@CoS4w=0rYrD2YS;Py{8 z|Et`8eC`|L<}dV5BKg++$D#jW%jakR(CzDhqM~5G0t9{o5`n42v&Khrj11v@%8Wx##``Fj8og8@3- zzy51@z6O#&J+Modh?+&4ME`r*`Wo7T-`}EK@&B55PDAa_K)zl42W9gm%0K1!MI2wy zd};W;!+!wR?}hO_tnU#12XK64@dXd~^;=5hJNDlh_y0Ml-=KU^)c-lhKWFe2&*ydh zO<;fi(Esh-|D-zpZ)ftq(f=ob|4HC~68N74{%r~T|B71vZ6MzU_%Aw}Kb^$?@cdLP z-x~jm!OG8o{oM@uZ-?h+Li;ba{cm~wsqp{vd8|K$1IzRMd55oeza|;KvPecIAqyH;>|1q|2$Y5RnYfRWYEO%3pR1LSCcxqw+ppEN@2YHH zGMTUkzEn@_b)9!M+0O2 z6~Nc)f9Cg(>`u}B*!+{0e}>Or?)wuyziRrUl>ai1Uw4GD`u^^(SpV35`qbCvUo-gU z?)(wX9~pdu@pI;1ZvS&U|D^Zl@qXFir)Yoc{r_7ye_Vs#;rg?Qf0G%w_~lgojT_&O z|LywU81H|N{z?M>4|c|RnRs5zn)N#*ivPuRcV6ABZdNxR9V1q^xw;0cn`LyaZmt^5 z%F)*7zS_tYJDSzs`)7P#f5G|TJm)#j`@G@s|6e2~CW>o8+Ozf^%UZ>B0RyrC9I{8C=Yi>}Ie(Kv;R^k{Jjs zf>2j|HO8(4M|Ns{IpN!pAsr49ut<9al6^Zd1TtgIrDao}uhreeWR zmR*)v_^qq=TxH`k=`T@d)x99rITt7!q$mk`6Ku-HhUx-^z~@aNNx@=8rok?SY&Y{_ zWJyKysPhmuu_7@t%HjK#A}DCX?)Lm_M!C-k! z2EG^!+(nsvR!0?2*s|CP!#p->2L>2XMB`Pc^z7tcLqrpi6ImSdwuo5+jXjUct)v5_ zx%+64Re(6iG$sWF<1&>|-W4bP+DfgG1Tg!>DZk~>zIJQqz<-KWMd#Sq$b!j|Tu{;b z>OP9yC@f0N(O9>8>s&(Fid@M}=L(d27s_v~6zZ-})LBIrAUCWVg87x>JW6uePJ>XY zbzCBH{q%%pntpxa7^({jBW)t7h^IjkVgw5^ur(k&z$w8$53!w3TBJ(j1$<(g6KS{- zMG3rO-sy`+I1-I;2ejpTY9DidOvfAg3$sA?L{YA9$o_KxyeRDcVLsT!bY5)U<-kc^ zAOEHqT$HpB0zpY+CdZDknfoy6aYi*~8;K502`m;8kcNq7KPDj?<~|1$rwzd&UU+^8DVpWy4K?+4-^ z9#VKc5KlrC6~O^Nqp6#rsk8lO>LQMUNw1gl4bs5{Qz1}|L8g4E>!l({-r&7CozVU} zyVdzi=b5dvW3UNWko#PIAtKX`#i(8NnaWqSu;=5j}Hi8F})kyS_!tdo2@@GJNo$i|Jc!#M~ z%J1T}eDs4F7AGqG1th89DQWhT6>{>iSPkS;M3H5m@+H;yLJ4)e*g!~58o|~Un?E_3h1*9hf}@5nm(Ndd_nGG(7VPEXU^r|BNbO8StgjP zvOc9^#PxWcnMq2|nD4EFsgS;Jxc(!x%e&64duoR+Nh*DKy=YzRY`Av2RjRHB%A#&( z>tq8?*$3mCt>+EE9~^qe#e#3mkotJkxwS)(xJ?}ape3f#TlYMmVvMH$s#BJ>C#8UD zJ#rltvdT2RyJWR9bQdyWc#xk+325sPj*GYqnnu0EHeeUeg=y4Y5Z12fx-MIXcei=5 zFNr(!z=n=U&}b7;2PUaC(_|feZ4lmyy?Hz<4M-shZC$MaBR$ zr{2RD#W<`^!1tY_9zDiz8U=$z<%CE@&Rf=ebXxZ#9hva42?#CL)>|VXs%hS)QCYl8 zkTxkD;d%B(*N{BG^oOUN6AU=aVA3#wo_(d(h==o87__PsPByq*QELwt)~%vm=3n=hffAH61T-OAhj~Y+sRm% zSEBr0uVIZGO!BhyzAJLg@2moGaB3AhfdEtwQ}&N&(W%0{9)jrGGD7P4O9ZjIc(>de zCxU1-_780iu}vlveUhgZeQVAGO$xQaPfD=1zu3IEb`>Z z@`PQU9?wnT4Gqz}(tWUdU%;I_3xh=`^vsb$D5+h8xM5yUo?YG)EmK>G;Ej{9@GvLsGRe5)F-I3}%KOs?rEzLxVkb_;!@ZxExOD!nF zd3=gmFlR(+;>m2s56%(M#;fhcXjONc;a+vkGCH?I{9Vv(^1}O49s2`0+l;Yb@<$os zO$#Ld_Z*b?7IKJdwVS=(lP2pyHNqbtEuBwH$QIn+{))rlz6xVNM~rM(oKq*EsBtBY zr@sgE50k438wWMTh$#|2c8V2vbq6ZbzYCR{TTe4hRvfAN+|cOfBhyDCKQlO;$n6iW z8S2z%6ePTg84rn}5^C=+^3PSA6fltkTno!MWDFu@M0Rt8u~k^Io0fQ`khxqllR*)i zPl&9tq-c@V`QO;ndCu^;rh`%rev}$AsP}A6J=tw(hADNYb#gB}N|CY?b-A$hcecIk zcCV6+wqrOyz)Q4NnhQ5EwRQm9ab%-*kWAyyB}>q2X~x#y`O2e{RABPTRkl8)CJ@^= zd*g@vun*rzYH!=#i?x6^Q1Te&n6S;)<`}RS?#fUod;AqlX82T?6dDg1K%iP6B`}I` zQOHp_v3t@vUE%_0Hh6`RU>YcCT+uXAE+M9`5A?kTPx1V8E(X`41G=Mv%6z>aTmEn0 z*-FEx(5SdM7%eVxW!@|>Pp@BxtD)6et~TaX7g-Jc-maiN2!%HpXIvVPAX;;!!I0&h z3-D%J;+Yg?A~UM*t+t$W9F*`@40XvoBlBC!v{a=v*TObb7eU%|%Nug|hh=f2MyS6f zt4KGO1<6P&HXN!0w3PxZ3E|84E+q?4aHa691+R4}a>~IHSsQcM3s+{@q_Q|i3mlYf zGL%Z>$Z{JIZe6r2^n^2FQtdj4y}UW$9On$i!Bp|&i=C5_hE_yiU`kSH->zPzM#D1P zLv(dr9m%?y&qk3DEi4Xar1;LRQd3hTI~lmQsiR4)rjX3b2i;gJ_NKdA#8n_!ehf8u zY4I~iP$k<}VBO{Oh4Q_;<|%vOXl*#sRa;lpL8(^XJP4?;rF|+Zg2(3QkIFOD~dWVc`Vi%=sZcsFUYnK$}a8hGN(#W-CxiChW zkFHHZmCXZJuCo|VFk)i#UVBJ_NJopi?mzE1B!CQLO7kPcd+h}Bio6b z$+I*TJ1knAGLyz+HpnFxo-iRDFy7Q=XV98m5oK{OM$b?|otw!Xy-R&rwh4#K6E%47 z8s)(>5}B`?-<83YbML(}9_30eC+AtdUGUk}HuC$fvER|I>e2C*&Z@HqnH*jv&MhIF z^nI3!x+d85{x5<-H3Xv4q6Com>Y8^I0LO&{I!r5hRN38MWb<-nKCC@uvFlm}$QGDA_aF>yejiIQz zFs^?jy&c(&WX3-|l>GeVYU%!xb5%aUYvIy3Dsz9#%37w!HGes{9kbXZTaD7Q4%;M$ zqQ6|~Y)-^zr?fsa!Iq__%FZZ}TF=V}rCpuv)j!^S-r2h6)P3WTTVz+Q^kz~}of@+h zeTCf3#ttWT=818wH0Bu-qt={TmKlNVn{411mL&>BM!L%dbtvXF}mEfQuqP`q>q+Gyw?xwX|klQuen zrc`O`7E-YQgZ#9IdTb-yYIqklQ7uyy_yBcpg^ja>PF3c%@`2jcX!Las-RK^>%JUNj zcAi^{<5$d&lvS3)`J@FS=`QgoI3%prPu(69xKUN*$%GZ1=duXJkdxH;GQ=vkn}KZq z4Kl*q7fKRj{%rMB2PB%_8mD*;XIb676=_kV?>nUB zB9b{3hi_^}@Jm7LAu+b|>-|FfI*hZM-rHSN?E(a>( z+zaFhW=4a~jGLClXN{UW^YUwyGX#hUa=19A<_jvFF7EB%?}ha)$yra%)OHfZMC|A% zf?QtNHZ}E zmwrrMmK#fahqci@AhJn@6xd%#2+&eXYHB_rxOAfR5(jnY+nkhyJl;fm^AB??AI<58 z+%0q`s`{MOBsv)9l>)l?j7Q6F%a;@5%JUyLFJxrB)Yd!PXk0~Uaqd_lsLc;40a5KA z9?#=$i6UAYqUZ&g0l~{SF%4`b;mG7=JfpNgaJAV1qhb_C<+3Gloss)c*Wx)se4LjT z3HfB!va}7KRbC6Xkl7vS#hiOn-d7?gQ`v7gZb#l!O$I07#UstgzhMTLj6cCi{&TDl zqD(f%USImEveWK;p`SpQDJ)J@>I0d5bk?X&tu1%K(5QRBb;JcMZgaxa*Vf3VAt7=rHv%-9 zl}!1h{U%48O6s;$QOh*vvlx-iGD{-{B$ykAou)50u+`%l3x&E#qEMnjT7iSokyKt8 z|J;>8dV$4>3G@65+q_G(ymkV;XnR8gk-c%eCg^Yb_qT|Yx)V|%+PqfTWEAnWM1uu+ zKfz->BM?zp`P%r(T+K~wkfS>rMqqsZ)ht|&>z;7A{U)xj#f`bMf@vOF@1+;n`#}=k zx4j(qxO@93L~RvZNXCwl&d@~pG{kc8z+m}XllELbf~AlKVm(ATf|E8_iWgBJB!^ ztH!ap!xImPQ;q^%x@C<*8#_XtdB?*qY1Ur^&u zZI*;w#9aq#qngL>Qs%dGiM@kNdsjdo0C(RNWHE4uurVTahm2Sf^iqI zXM*hOHl24pYTnL8^|To;B!|>44M*=CAIEF&A*ws021)`eqHDjCoJIX}*rS#si-T|u z(9v2Qd@lL2Y%fWHD8AXlsV88=pd0B18egtbpAZhSm;s*uCkO4Z4t zUltb16s;KOO|aX@ANv?ML6DUv#fIwJff66?tJ7L%kyUY)si?mfasEnTrW=O6VkJlN)!2;yiFBb?)u5iND7g& z`cYRMvWpi1H5koOBPQ9{qfpaDRO#rWQ5cNt+rCqtt5KLCA!~1rzm=-GJY-jE*xW=q zvWI&$%&$>gk5`Y=2VnA6O*Ki#AE*bt9s1k3qztktt`#!&R$XU>OyFHCsXWF4DaaCU0Rb7H>U&^3Ew zSg<;#V{6n#Mo$+dL)gG*q4bMaZ|`J%bTa1xp+E=&*t>|1iCU&RJ0dtNl2b5gV}PKJ zZIT-LaM;y=o&)9X*sw>*sTLhr*QLKAjD+A*(x^O8gx3b4w$}M43KE|39o#aV8@@fd z;ayCqgF#lEk$yb_>Jj9xO!S$SY%=~!VKf2}T4qe>+Jh(6mTwKw&m(@8RW{1CTgmj- zF&b|-Tt#{8P!sWL<=e-79cerUm7HB64%N|p6dUfhg7}yI5jGk@y1Uus0<&TnK8d0i zRp++Afj_j)FH)@-L8Oc7!D(&TC{NJZcm?QvHjNbfz&PY;RHzwkk_jyl$DG78s+BiM+E42qhAF(+y6mLS z<(-1@pc9_mc0*8nhJsndWis$KuVlG0BRexQ(3+Xj8mSB8`aM9h+Avl{lF(p!@N^Le zR@&%>)Q=}gk~>!oQeC}Zs(A37D|B6CKRnQ{6ar&6uaw7Gv3F0W3z}kFf*A=rL#SIZ zIqPv=Qa8Z(0&}NAdj!}M`Bd)_^-HnrS{WOB4|aCQ?QgUX&zN!3e7vo^lmocS^u4wY z9u&T~IU+Kh!jR<@b2g4AJl;L*wj!B*1WUf_#t)j_7 zwPunc9Z3LB0!0cyBrwp==-8pw+=SWud57~jJk!7ws2!@`Bv0Rawb&cJEo^;)9xTgV ze#jrkk)T%_sv(=)^}^;CAtUO6-LzNsLT?}9XeVb$QbW~cd&20*607l&dq-tcH_BVc zRdk}r6+DV#bM(xQq9GC2M=DGOSP$YADcjP#Fqk~Xb3iTafz>_fJ1T@#U$x!EEe#uG zg-=x_*`^uLv?LAapii07gVu`L(r@vDbdu2(2qs*lpS50iAE$gNcvksp<0T_?f9FYc z@&&5#jWLR2XvV49_RXyY_oYN%y3Ns~r+GC_;uBB!Y{<`;g>472Tnx6;Sph(~+SHj`&yueD9gf}POP4(t)w2$8(iGqe>qZzbXA6c&PN{K(B-PF>*n?kzp=h=xPKp z$z@LT@C)>i8J#fT`H)Nbo({Ob#gq7VgQ+}qjZk^0jh%x?qAnxzP`gAVM?y&6#d*Nv z1ztb`ZadWejhm~m3MQ4DDQ8gbl$N|Hlgz-+Prj8>*zY%ZtF^9!xSaIqh%e)?!ZQ{b zQrA;DCcwogvpZu`C=T)U3U`lZ5mV?J1X-({^hAdmcQ<+wc29&VNWAcc zr9;!!UQlYRb}`TKm->2TKOw7{^Wg}8yPYUVK@zuHuwZ^|T9*`?eKFlf6 zz@Q!r&#LIMhzjrl&5B6jp*Q0bF8r^7;P3mtnFY^HaBodnb7^=Pb!Z5)meg0<} zLGE|syqSjc=E*)ajTtbN?^1J+%W!h*Rml4_33F*x6y;Bjo3;z_FkYkmAEiD$%`3YE!RFTT<$WYXFH7VdnquU zU7^n}Kn!9_P^6r}6FDVFfsU<6A&0Z&E`qLxBn!9amW%L1Xab7F{xJdEOf=J608l`$ zznO(97jPg!(|fx@8n|KrE#`ADxRh4%%4LveQ6gCjthD$VY zG}yMc96h8>R;?IRHIk-#AOoZEd;%kFxwFZU@!0nJYrgU`yubCufC9R;hgNoWw4D9VEV|x8X z1C0xLamQ+wobYIt`OE8KLK6BC1~uOrV&H{J%SCW(|Go5iSma& zg<`VLE}@CTvLEP(rXMIbRGvhIJnKvBl_H^LU6fWy zlOU)MMX9o-lE_A1SgbZ1>G+sFGVs=%k=p&RR4R1va`m6Ur}8?9H1c(&R>D@~^rPI( zNf4G`Bfim^XPz-)`hB{0YI`Tq1E|R6NrYhTJLG<#A(J%U1%-FLp`#s=+62ncbAvmL z(V}PxwG0(5wifg@t?!_}s|%>P3hwixn)W3&wniRdWog!of(GI+Iv^8Zu%JB;IyNnn zoUKng^~C&Q(Qq`Ei_5_5ck&wke4`RtctWKR9EM$lLqdf%$;jEKIiy)#xp8Kw_?)6g z^=L-GK$_`5D45A&Dy@B^Lvt|s+`58u{OH-oOhCZM;nn)8%iY8y|Eio&wZq82W1&Jh z*@untyN^acwN$0NIOQ+? zVV$+w;tqExE8kTELl^DwJ8Lo}odlAZX7vufun9eC$2{TRVLRolqOse&PepE1T78tn zwC}HsEl7GJI!@#6p2UL0VU;bM#Da_mA8l0jfV&ZD4_hTg=D_RPxmE&ArL3$F%Cckp z!wIq7{yJFIg<(6v1mT{iLqIZlOR5eCqih7@K87pjk?4ADL3O@4)v@$Z-mdLEv99oS z#v6OmB2z^M7^YItyn)2c@Q5Elt{ozsPVM>Hhh&zR*vEW{Uwuw|&8xPm>A@6xC+EE* z-QlzE^C1U0A+mom_1}dXD-+J3U-kGA6PoNC<2=>L2&c6|scvXSMqIc=ctrGAyt3*V zYM4%D?>L^^P;*ZsD(e}?Bl2ECpQn5yn(W#8>{HitV>K_v1Ppd{-o1x`6+o~(soohxVss^%wJ%z+<;8Vq;9ri8K>+wQ>k#aq~d=Sk@ zT}oh^LOYX2+F0~iiqeDa$?Iu`f~{@*4Mk~MXXRi-VUrKX+Pix9ZZ}?--{CkDq})%G z&~b>nBzIM7X)>a`Ton_&K5)*}=5`@y@4q#+Fvx^5OKyUJv$nb`(_W--ck05SPd&7F z5xtH34rL1_0AsXQyqId7+eb&y_1dv4Qp*AwkZ_zgku>0#Ct#De1t_1FBV~Q8R(-@F z9WzV%`Bsl=HxaLl?(g3|_PiR2Cl5ZNC2YiO;HQ_SVsFgNIqS;i`JdmL%n0p7u$#lu z*^nj5CkRhNdo_5teSVl*lWd*hG2x$HnG0_5I7VvPU!dGecUJ!W)KmS_6R^0|uc$>oy+p zW(3MAwBM~XrutafObn{W>bG}4?oA8u5hl>>^a*~JoyQVxTMxgU+FP6At)6)>tYftQ zi(sRRZXNH1?@?Pg%MO2|JQ?4vyo3Th#!BWuJop++F@Y9bXsc(>igs>D#(wMKYPLuF z9CV=JMtX{C!x~s3V&2|ax>yW;wt4+M;$nKk=HdbOSg_}$IqJzXmkH<1*dL6r!#|(w zidgp^SnG&mEXB~=5?d?9#Xp{9uA1!Er?iAkGu!3kblYVrkDke-6FL5V>;7F!$yN1g z6GTZpQgzMgnV@f^Y;-OzPKAiqf==BNW;Sx5wdA&lI`7TAGj6{Fdh)6^g}Sm7RIDsG z180QuBJIqIf~>a{!`;W6LWxh|J;>LJLm`iOYWk&gA-AUDYf};QiDH`_^W3If=_`8X z3hEDI3N#PfubqSMvA253tB1z82>Al(1H|?U=27VhV2lZ*ZYX}7uO`4m@7FgCl}9{i z8M0gGcSEMR(F|N5be)|=LA3Op_Q%+Tyd8>!bWGnkQ>zcYyHIP^*SWB=HNV2^|?Pz<# zGweug>ufFzp;GLyYxmWwaai(LzbUuu9PnCCO(e|8sjOoXi=_x3B1sUT-K9nX~35uuYFaS8Vf66$QDmcZBe^KJhoPYwzn;tL1i~Z zBz=a&jx+|<%{MewCXB+VLiAik^CP?mPSkb^&n>tg2e3#eH{yT3Xk9|rJk2XkF&)Mp zG+oxP(DS(G_Wc6sMw8Af#?xq$G3wJH?a{`_*M-yVS^@L^$ORBf`1~y=^yt zsZ^~t8Bv~j66q>tO?$Lgxd~0sh#x&U)C7aKQCfl#=thl~MZIYe5=xkmGA`dU>_CK~W4_+nP#;in!a@;kv zcFVlbjMHqECDU$CL;4p^X|_LrI`Y*w+q>r^0n&8L9W=^;T)tx97ZXZU{$tRymMkXt zMCSa+NPs?VhY6>tSZ6QHM)Wou#WNj6P;dtTxvXiVW}Irnx27Rz21KCYSPolV)TS`E zZXb_J`zvbYhz;&CE)mli1z$DuD-WSB2U0!cDitc=Y7Js^)`T!CQErF|6(MBu*ox3% z4;bnLv@Fs3pY>;{cSgoL3|`24DP1q1TqK4r0qPpo%$qe$7ENdP!oV#gA+@6`IZxMV zC-2H~OWr`bt*eENEOyN9nWs>O0zizgO+>zB@Bnqp;B=-@MnB>bpK6^is&^Baq}VF7 zlZ0FOa##Y14_CAiA+o5+jn5a|iOPWcaK_`nPmk=X&x0?uyw(wTWO0mlf4S+aUc-m< zePW?o!T$1M^)7I1>rP7%J5KfLIVTI1Yl3aJ9-vArPFs+3iT`)R18Ftn1$nE2zmv8@ zmV>GN$&R-%Ub7+qNB`i-{*IP(o;|=Zh2nSoMSby2Y0fi zPUOvoOw6quX& zOFaphUZ3Jr|OjY|ygUrK3mtM5jI|sbp zt`7`mU-eNcJ0&V%cs1c4-hPBFIAXq9*H#6hcC@gDGVI5+h_0}QD)|?O8%6X+DZBw< z)mNx+(<8VDeJuTGE42ji;1t{qO|S8iR!`t@_L-Fv06+qKg(GvVc;1yiVT+`z_ zRVdKrHA&KELLbiFtuC-xK0}9VrHbJX&5YC-pz;DzX~Bb=on_a2VAg&ODjfhHP{t)tW)+&ud zcsmK*&=zYyUElvR=>DJ4LUQ%|!(21Kc9}VFMqDXawY0nAM}mg^AF<$-4k=lG+|`(=|m}KFyoI8t;I4 z9U$Svg=z_wrrK6S?*5#-lSug2Z?F^&&p%v$OL#v&9x6O&XUo2AkO!n`cH#_vjJ_c| ziaG6dnIyFv_q`3^nQ=ZHIOQH}2VL}eks(+GY?m_lIj7Gzyh>bG1#(d=LT-D7p11MX z7msT2I^_H=0MB|}72!q}NNn5;M?qWoN&R00RK$=aTSBXjQXO(OzFleBWsjYrBzCui zbWv8E${jP2)TaMb$YK(~3|@-=#|G!SWceDqWidnN8TiF}7@N6x&v3T2yz8f#?f!9R z74Wmp*IO~_o9zLwpMfwj$EFkhJURj|scdnC20hEV z77%M(KTrJvjO^37bM+p9k!__@yn=#}duXRy!fZS1S6<@#{{e6oaK&}ID{%PcA-!Fi z`8Fl8OmcIEqGfcWk2znk#`w=!MEbwkGnHZWx$yZ<{39mQq1%iVWa9eMDrhQvGuru8 z+S@ub94Fhd`>R2zckdUaCyaMzFWx^G*|p5FUP*SBD{KqR#KIxq13^wx%urVu!=P8gHWp1;}M@@p+bD zMRB6u&tH(RFCAr`{QMPZj8gJULQQpuuM!+&abrEEu}{C~09pq&yhcaz!E2H<6^0EF z_v#o)zVHKX$*5qo^^1ryt^r;TO)L-6+X_)XFy%N8RE^j7X6}y=sQ-gWbzmSs?fQ}=bRkr{=mbh>A{924 z1u7&eYAXC89C|s@RG(JLN0-NBn|wc7XpXT{$^9coK6L(6NoVUrW*RSn&UlczBG-hP zIKel`89hyb!Mva&Xno<=PTW5c@Q=w>9@g5foeKDoxnq}w`S%d5i_;IXWexAkjPCRd z%b*PzDR$ne&(RWDYBBdFR-SfxpLW6Sx6g{_emQ18%JyRusJ?7p_Z3p^W1$*aKTxTX zHc|atDVIl6cH_P*5N!`yh*RAN*YZOZ#XLzuu1J}0^-0S)WW!N}%;&yX5a)aa z=RC+1W8aIywnW2S`^$f$QJ6)|XSBUv>c_atLM!RvleZbJFgI3(FQmV}RwOJKrsc)& zs9pZDSgkKE+@febx6gTO^TDtoI!voLwU{VadCWLgB>nRk!DEx|46zQ#FpolzY{u!z zTqc{?ABulAq%FI|DM{)HQZYFu|Jc2yeuCqy&pnR zqBQvw>CD*s5Y(QG|9%KxGNh-)s0%Xey1)K!qY}_A>pxCjOH6xhgr!(R5dSq2WZNzPB^aHa=pP@pI!F`s67hTng~u(+YSV>Ra;k$5oq=EPKNl6BNNNlc@4e<>0Rd}(q4e#J8e+?{Q{r_2!#mm72(1@Ajn@POtRPo^dBpFYOB zU5_Sit&{vg{d2-u0oz%ahurV__^uFTwqDVZtwmBu2Eo&xM73yR+$Qx4HnjBfrL32d zopBxw8mZhlKi!UH5wmxV#Q2nyomNjM$ljjKHBC6&rLx$JuCY`{`DW8Af4FuA;!ySg z`_5iCd{bvasbOE+JP4P06T!!{FY)@9lffYj+*w9$_;MoNF06D*|ESf_4gT5O=o}4H zYjeZf4>NJl;Inx@3j0aXF00;3Yu52Z zK0l&&fk_*KbX|L!jcS$_7h1xe@V0OJI~mn6mg- zoBL|FNZKLj*vZOb=)XvkqMT!KCREhjDlbP+u@BlzZu^lXYq+q?+|kM&jnDuNlq`2H z1ZrjDuRW<9d~WHVCFO1Z!o$oUebkPWjCM9#VVL3B?S>JT(cT#6fT!$#%q32N70Y)3 zri`Y6w1!xu+0Dkh&6({R>HG<-bmsSWq@}L*H&F_6>?G~#I=JX6U;NRHqekWX*E{-W zi#bV%@G^^V(g;;qE?=;C`gEDLX8bP@S9lsHoqyC9#VOG^r{9VtB+S?mA&d_BE4ANS z_rDeo^Y(Dc_BV^Qs(1e$wR?3=;eyA_fUfR(6luz~K{mZ|J2~s*xvqj6kGJm5IQ`!? zQ})ip&X~2^|00*(^Q9^rW?#^k7Qz1><#TU_Mz|hibtvwlt}PNEi?x2h1aUboLt+%R zyK%%UW@~#T6s-Nn^BP0<#0o0-ruM&mdE}5ZpBWaPHEVWThm+^|9T>`F>Q3qNtsFheraCXv) z4d#pN6CA@uyzE??DeTh;-HTGN&t&fhqk~i^Am?Z_lFs@qmYVHM_q5$aKMohVFjIwr zq-9I~i3?u`b2LRSXLapmkMU3BxjN7~=bAOw-Cq^pQ-mLIvW#_U)b$ zy8(wegAu%uK6Vj!|FS;Oi$Fi&@ccGR}yJz-rcv z6RFk$zCKbd`=9?1C@E)qZqr`%1?w}F_LW+I(5c{)k-LnsyewFEi|8 zpJlu7149NcYlfyeA4U~gfpplSOx}N`UT7(fO30_|Fo8f!}jzdgPq`uO4AFd8Bx_XBv zQw0C3$YTV2f~884?C}L;z_M=m*MPIZ88pO^8?1_}WW(|2O#^wsyl6=74KX`#nrV=bnr4kkvVXyv!f?n?<Ey!!9P5r1ls+#m*I(QlkiwJLn6sCQMz73eh5z`7M)TT zn%f7kO7 zXtDjuSVtlZ`efWflJP10x1#_I3~4y+aVA0v{>|QMm0%C1WQm+@Xy6OyWx#s)PHXs` z>Vm+gMql2TL^ra0*TeH4UQ$7;X6{EtjNZ54){uN7L~zO9@q%%JRZzlPXZ8+H3L=MR zLo>3&19w1-nR1vgf385fCcUcyhdIgJ-}m|bVuI7LRtjw(_hnC|q#Sj`+v%*ltJx1& z0N3?F_Sx59bw+{-_sQICi!V!g@da+OF#11c8@r#}Fh&>^?8*qu;NM?MN)Q<0#OgnT zFUJeSTgbx(x!j_Y%?Q(}f@JKh)H$s7yZ{dT#C~*kKrfWLrQq8D=TL!3S2|6vw=V5( zm0hEN92}exrm^_6(rG_R(zQ=#YCc5(J+i@DuF|oLlQyg6ius?TiRE%o_4B%{fBtl5 zP?JkfH+~zZ3u>mSwAk0~`GRl6_oZR;J7OM9{t3xP@zLS32$V&Iw|0ra=M#2AE{{M@ z@UZp_h_2kOsn7r3pdd~XTsS~Wn$Cv8|HR0T_T~czYF4NvEqAhV%j~Mofv|;l|5bTd zk;T&xH_ROu!#kAnAN~>cuW(qwp4q=N2;+ER=GadhJ4X9cyi7nxAJr$DpB&mP=!*4K zMkvfR!Ib8dBt(x&LwJ+jCRj%fRb#iIgdxduEr&vrj4+-;N=+%w5>#9HMN?|CP7s$vmD>>K~ zQUT#2zKyq{pAh$)CRhC2V>8ZQGE)+2hGmtMp~s37&;cEo9@5tQRX-}qGipPaC)t}E zD0Sd{5wwni#5*#Xe5Dg??|v`rzsHS}i=;@tQ}~F(6!d};u@SA(^_3CBdA#%5yzxXk zGJpbP6C1Q^;mP~e7%_;#t??*HO$tm4pGqF={V0h8wQ4Km=P1L2`g#8R!zf4?ENk2! zCawK_jP$5RJa&X?D~r0UA@(<(C#tiF9C(XPS32yJ`(E%Z=m^83L6|@MZh(;>a2iO z-C_7;}LZn^gWaS6D-a6ET>uqkUet9sL z*f=iB(O||bqf&-@__XCVOFtm1uf6anN+LBgnx|zsl9m%)yZ*~M6>hg{wM_GfXqN_v za%pznfu+YgKP$K1b5U(qP|o7Gp$cy-U~HXjU6MHl5f&XzHq|_d_@-6z{v^ei_#yo0 zS`lxc8HYaYJk)_JE`f!j&m4EH?pfYAGSsa( zUb48GBGtZaJ=k%FJ18Z+R3lV%UB1&m=V24Yx}YOPI3MG)ovp;Lns%LjpGWP(O#Dn)Ac1mg9rwQ$0TJ%4oKdU-j)iF zko#*k6rhw{9ceU5#6mFac2epM>!X5s56}Dr3I0^2L+E_F zCF~;&u1v$jtd7>YWZ+)q=i%E<1?IDw=V*1BH1^p@`V$_e+S%KrDOiz%(_EaRf)bw=!e-%|Vh zNG~;t`2)38S|%E7$IYUGm$GRp;Eq52y*QfyVq-fADhsDw8u5}$nq_(23E#!!5oNqX z$5%$tyi9xxlR&h5;}Yq6SD_)FFq6I9#NU@=&$u73MT?ZUKX{UNKeyz6)6+A`{wV?C z?uM1Ft!Z9o?^rY+=a4;8Jd93f_3t_=ZIS)KtjN)G=+!wuGN@8;1w94XL}cUc51Xk4Vlx>DBKCxS{*rvTV@neqwE@i%TKiyN-b-EUWCSjY|-^JKK&M)_K>B{*%f-U0k2==L|3l zU_R{gmrwqea0;6*pOnhjF<@vZHW|X)hiI|fZiETzjsi)cZ;<&gVsVVqRi>gRhn#4K z_?Ie2(mqZ0m^VpRjI3Yt6woxmi%z?|q#pGHcb8?SJnV-@7Rxou z47|!iXuVx~e}q9QG{0W7EPUcqOCko1pA<&4YCrkkR=FO2ZR9$8z>b8|xV-*U=Cy5C zYX}uQD5-5;q&th%FZ%^L{Qb<$GUi{Q&&#_RE?saxXTNIY$u9J*hP(l(F5_GKz0*60 zQ4}s|V=CW{Xwb(N9m#NhEpFKySw!1x*naWnPzz)zcP=shlX2)+krF7jKJiz@24R znZHZLw^I%22&U-(u7XxAB0nb5YyYSsg^;G%G_S?Y3i~P=mxokzy=)6<3x#o-d+t8} zT!s$Fjm%F;A`Pk3n%$8#PU0Y!;PW@|yfjN;PyoU>z!^v3_fMl|d5Vi?<&ZVss!vZy z%JY_vl0zk2vjVI^OY-^b%bJRg|JTk}2UOK;ebXf=9nvT%AR>yiC?FsyAV^3Gh@^mk zba!`mcOB|*fJ1k8h#(>;f{2LdHwWYK>GiM3K`i_To6!q@TQ7fNUjo-6v}RMG=!9)s%ZX?zDk@IMGbm-BeycngbUXRWu5gM}G_0(?1-c|Zgvk-A8k~RUAhlDQB^~x8QDq=^^5q)APR@eD( zZfWhok>Zx0hF)~=^aGvd`Hd8Rm-LH9Qd3B;bf9}dxAdjnv=fw=-&~}y8FV5tuWlMe z^IC|IL4k<5b!eQ1Lvfmps;<=l`yW@FQ zDRj$x&>TBDgK}L@gS}=jbIvSnoqvR>w;(O&pc@4}F=vx9i2Ev*80nDbW$SACqy?&$ zcVVemWCEHSM9%`=^JepWw2*K(j;D>fVDxOA6Molm*$QoIs7fMH+0(g-)PiM$nb~Ww zs>7(yjvse(=d4nxH^<9+@`lCuSX{@hM+?uM8JsedFnP&WiB{6Bn6l9>bQliXGojEh z*`am_lhmPQ(pv2<^hPO0)8gOSVIIIHQshkx{bXoPaAZ_IrBQl%0xd*L3o?#WArr)i0UU=sEh< zr}7AYkH72Sqb#YWtE|k$Io{W3C@H73CsrBDpO&~)l*U_emk}>*EJt0~EMBSAA7+_7 z=lGZ*_IkBEZ25`hY0~i9I7XZEN6}Q>jO7(t=G(UlH~Uyek9e!{^xva&=`$V`C%aCP zjDIF&Z5-N~m0H-0aT8c^(#7jmAG4ROPf{cj&MUcFC76iXufZMqj-JBv`ocw%Ez0zB zeoJGiX=HhyYyvvHWgSpJMD%9X7o z51k2V3eJrlC0K~doT}c&@MdJyHgd1R+a+12c8JJE(hk!#8lATn_H$2Jo#qTp>Jy{C z=UIs=5N?kH>*~MDEZAzmZ0s|7jUv5x{t z%K>Xrw1q7HT!N^R!w>d`n9cA_A(o!M*K1<<7#oW7)gvRU{4I?jT!p;y z5QC23L~`f2l8?!ET<9ySn{X!WNoZ-Z#qE$a1Q=uAdPv zbp6S+2(8H6{zVtbG8Ml3>+6tWzq}hJxTYa_IROjOmwa?*nIfCdS_Bdpaew5_L#;z; zsLpc>xIZr#6p%A3H+cC@>x}1^3?5_ZblGs6>SuG!*hICAP2nEZ0D8e38Dg__nzN*` zjTxVcU~!3;aqr{UCA=)XjP@L*NgGSAD^UE>%mqIcnK!|c>pF20y=YdS(;&6DLNY*#f@B8nn@y-*E2eco-=?B+q z-O2^|^dgG;xr*(5=xA0{Fx=(>;7UwXrbJK-{CE>CqX`-vHF}s|+NbkVo!#^gHb@B? zFJMKZVLcnpAquAESH|*l>NM}h^<-?sd~$TDhRg)IN9o8G*LhXS9wWd?Go^F^myt|k zLx*P7CEssPq28Xr25nuvBKjUTjH%L`U-_*)>$9n6^gD?{olo@}Dc6eo9?3B8J-TG& zLjWZ{7_AF0s^wSfeOt7|rx}IQ(T_BBycBm4egBC9ild!^Ji)2(>wd1PNE`%Wp7;!y zGEdF&Zb~f+(bs23D@uk}AIJ{-Obl_>=p1@JOU$N92%%3`GflizfYX4Um9NU15*;m& zgl^<|+Prn}&RlE`R=vpJZlN;_3 z3n%KM{pc%sj;=bXeOIkq=zQ&mpoTZ(58<25zPH;|Hv-;q3#npiy{VS+*=b#uQ_$YZ zvsG|~k)2gv(}wk)df;|xYT#7pX~%;bDzpkI9?!2XaB~~ndvORUVHsScIDp@sVbK0` z3h&5rda_|>iP;cqs*4W$mT?~RVYq_;4{ zP^_qP2XM+2he&ys2A!Wuh?(b7DD67=VQdq7+)8*oc>O*8^68>^PePt zY&@N<8|3mu3z)S6Si)KE7vG|5%WLZ~i-}#nvpTv4VV1?gDBw5tr;EuXfZjR#QIKh!H4|$s<-cWV^A}YRaq0 zu@fN70xudZg2O5ocH3M{Mc5fb)wcMA3d7xZ1#H5Iub_({PqFuJUUB|7A#WXs`H^Fl z{oeECzNYF`O!SSW`AGh1yFFajnR$UHuE?tL^E=2mu<{3U6gYe`(afn>=ftjXvKH*v z2W{XggczlblUZ7~9a`*a1O?r5kyzn7wBuKG!6)`}u;y$(dX1|SEyA>S9HGm?|AnER_4Lx`jDC z-M;#H!yFE@V?j?rx%xN8n|)%I*QEu$-W}?)q@6p}NfUkKkJefmdGWOrjzl~XzPyGK zy9ci$=arC^b>5kk=a&*WGl()E+Rs(i_@pF4%vnrW$nHOK;Hvawr{=^F2xLzeuq3R9 zGH_p4tCU0&(#hF!*VR)q*(z3Z9ezISyWju8yPyg-%#K#;bH82KeHyuldHzV9IKb)YLfQk@A+&fLr)zQ@1jJI^N^!1jeoyv}&Nsjx;dxCk z+l%W7VBexA_IWfDiT)b(Vq92xj$+RsjP#K;=Ans2LCE2;7Dv+nwTucuW}4oj`k`5? znOQ!&A)&78#_6(30UhGX*-$%@+~(}@>G2x2*O;+5r4B^F`o+!4B=ee!q{7~8Dg>ZY~b zPmOom#vmYTLp$4|Y~>=+yTHiXJKH6{49R|dzFRcYeuaOz_Eis@3wbX|R4ZZTR)B(K z`^Sf(tYHf}J~ZgAlhSW@d|ic8yhfeec9sK#OLMsnZ?ZS>+=Ca-nHxN7uxT&Z(s*g( zM0Hk@U--G{G{fbmw#-`Pv7;oII9bIgJ}U1ImJOI$Qq4vi!w}HyV^{e zEq2xX*?zw5d(NiEPaZy3oOl_|V!d3I>Dr32;8(2XK*;LcDx)oDBlH>5Q`a}k$W(E1 z(a7>#CDoWOb7;+zxt=`Qb06nB%I}z4ej1(9K28u=zScdMu_>Nxkl!1yap_gw+nb~U z`))P`DGO{0GMcnFgL59PSIzNjL&iWNd2brc7m)$C(Eir|g>@n3q=M`9ETX?~1d&(p%a-Fz$T>Cr*l| z-6f}r+Q6Nhuj4{yte$mbC4+GaJc`vZA@muuh3CLw#IeM|NF_VJB+&;jw zu|gfJV)A@930<*-`y~k7x(hdzL*{f*!$d@vHy+rrA zuPr8fM9<5=8JwqfCmTo)j4psLen3XuXfns}oPGOWmTdpa5;GG$E$tavT3R|rMiw>> zE^a;nK@sumGIENl8k)KWMy6&KRyKBz92^`S9UL7V+1glIn3)*e)6vvWQMe^1BYpk) zwd*&oU%zofN=8;rUO`boSy}bAn#LVXkhDO$qoH>Dwu<5{dAXZ1($X?FW#w)usj8`K z>ge6mH!#rG)6>yXS5drqL+t96i#%McEP6)wAKE#)d3yW!`1tzxczb(!gG*muKVM&8 zA1@F0Cr*#7EgzcSH#XG2r=zWq3dEY=sTL+hnSwK$T*3&;ID8Sp@-rP`ETU-CWmEB|KCy#9{47Jsi54 zQ4+ntevX}2=$iBmAx<)+$?BAp0!aVVR9}5|OjttW^Ha>1gf26qRB|UQ&>x*w-4L(} z4t2Xygw7CDH#*sw^N1dzXSZ@QV}ty%it)n-dNOP%#mtyz{EF(z;!GJ@FE{ac7q&DP z1jwF(m-OQZ82LoTg!|dum6ujDa0!mjDlDz2s;R53EKH9L3yaUI>l*B9$_co8frgCn zlB~MA3^(z|=eu}p5-KX!&!KgMYimBq8$+YJASQN!pn08cii(@z1wYXeBL|Kr4z5W^ zuctU4X+O&om4ws1=REypo2kI2X%4_mVbmev-A>Z0_!>73A5 z!Y5U;bFf$~Mx6cT)ame76f9&jN|1}X$e9o(4QoTeqsP~DP7UQ#s+h|_v*OWsB?WLi z;9K%R`AyxuZ6zT$pS?Ss+*IPlx$#cHA|#`_7pt^jtmL`o17Q#r1%j;*t+ zr(bwNN_>!uLs;E&Od@;?6l@wEp(|`8m{=qXEEFHA^wDdp<}s*P`Glp!IX;C8A4_6G zO=j_E$Z!s3+R{|n1ZTPLxw#vQkbXSC#QTu)kV=-t6AfEsuLSSn^{ZqRSR;A`GyD5f z>6bYC(J8QI%1b5)gsNd9Phao9-PwM*J`KzCROX?lrX(deg?$R2=rjop*NuCR9L>}e z?)j!yHPk~ornh#MnqnX68d_TENuDJ@{kXTm*ip70P` zz$Q9xb_3}Y5h0*YNQ{rNKGZodx3TkPYh}C(QkIvIoRU-3)&na|Nv)kbMEthi+Y5NM^289af;>41P z1Eigi^5n$)#9*#?20~0M)P)>pb9aBQhbmWCICYYT z_K=W}jy8L8qaq{xJX4p5Svgr5&ye7tAs;T}NyB0ZJt}*8AW3>SRLUQxK@QB!$@ZjJ;4=ZDR4JrP!bZo+s7ieg>uPN%9 zo87yst#M zuU@~UC@(L4nTed5mG1&84LLFTRBl9Seb30;D^z?61`a+!(d+UW`i5GDstTHB*4EZG zb}rsv4)qU-$*gRIl;-3V6{N*R#l(brsdJoRBwn7Tk-sH!%i7Vx-ao|0$=So{HtngG7C4?{phN6Wy<&f>m_vGIM= zdn%Fw++5u3~5-K2lOC4r?P8&YJO#DabcvPq`aaa zHQLWY^%^Syt-6PIP7xw)aKrKMwJd2=5b^AtV_6*V=@ znKO*6>};Ipxvwbb8*5yEY#mPl%HVqoej25zh?;Wleo! zb89=B2gat3-VuQwk8It8LOo4vBT`c`3$nB7hL*P8zInB?F*`oimFNA?H?1f=&^0iv zw4ohVm0MVu7a8ECFMUhu%$vFCnU$5>THLF9=)}x+-`@SnM*7 zsJ6L@miW1g#)0t}S*gkCS=qTc=?T%{;lU14=UK@a}N3Tcydy8~RJ6nsg^P@fEYnmD%m5qI!#nIj#egXbI)~c#ns)};g zByL=jl$O7(V_$xV!o zP0h+kO^6JSh>D4eiHVJlj*bWk@DGpn_bDjI&dE;8E(Zp*wj{Tp8Vap0?|Z$!_Tq4> zUc3;8(AAB_JC2fKgZe>y6|{4Hy(c>%F)<@GEHES}DA3Q>+uha4-r3pF&CA=z&)+{F zFeorE0HF1FVsCz5@7Dcq^Q(a$QTUAlfe74|Jzl*xY;=`#j$# zRqWoC#JzKmOFH_dr&}^pz+_pJoRpK3nUS8F7#ABI866cF6C0nDl$ey9oRpjt9}^W3 z?C0%ZX|1E-lTkM~Se=nm(>K=B+EQOuQUh&kZEk|p)KpcJmz9?W~XPS0gD=% zTmz||e}jtlW&&1I4~2r@Up4#%7Ct!ZJiGFIvp#wlslKynPdDWvGs&5G$;5_+)?RpH zX`)0%xXY`X$Qo1`-k8s+YaMI#KrI;Qr&*u3A`6V?Cs<1=`fw3WYX9TUx;1 z7SJ@Lz7Em^}c<3Z-X{BAQY*xtgtXYGc`6k zxAWOCCIR-|^0V#TcZUZrUmkoyK|w;t#v>skA;R3>*vG&?#Uv(0eKyospXDE(Qqt1g z1T5dw@89UAEG55}@jL}7Vu zLCg5e#PrPM#ONq^qQ9rR^Mpl^y1JT*veLqwoYds%;k6?)Yy!;v7dr==^Xu=n-+=WG zCK?hJ!D(_bjF&5m3u|vaqF`X`EKWC-=BE}k^bNpAr$?t|<`)+i=VoVS=BB4W8XFrO z8tU)s>+b1l?|?#KjkPru#RWO(De=)^!J%Q{adFYvjin(8{i`z*QxgEuLM0>s9N9x7B_$&`oS#`*TAG?U#KyyC(^1{OG^fchl^z`J!H~=&}G&BG-sS}8y83Kq@mI1ZS&CSj!DlDsO>K+{^NNVkc z4bRL2K!g3GBcKC7?O@FS5Mt<;mKV1o;bG(9;iIDCw)cK_ zb$W4jX>M+^VdC?f<;D5AsV*oSKKb(5((=T}!r~lY&m2OFrY5I=j*gFy0zkuq{r$Z_ zx8dz=Fra9SkUB^$&<;p*Yg_j)_+Om^0}aL1kkQ3)L>ESe28RZF+uPb2n;Prt>gy_N zYuk1)&@s`_Uu`Y*4onVp)aB>bw2na{W>2A_A3tAQT%B23oL_0GU)!8toSj@6h4**% zKU-Z`m_g*v&n?VNPmfPbA#{6k0wkbC!$bW81ARbMd%C-O;GLZvo$!vXuAbihfuYIq zskw!vsS#M!@Y3YOAQ)o+eBVGHyt4!BN3=AzG&Hq#&p%ySTYov!-B4Hr>1eB~sHlfD zq?lx{ZoJ!>pB$T=nVXqj8iG&EPfpEDPESlNPmawm%uLOW^-nH=!s+Q5fMyc>f>Aa; zJ_dL+G6bYH0tDAT2*?3~h%aCiMutWv0bt<9jCFPmPIOl`^?^bZdV0Co)mwFRWX^~m`6@DM=O z*43Gv(%9Bm-_SkS3oKYqFM^w0-F)j@I1#;?n%|)Wq0O53H>V-rt0s!i6>=^8Yws+Mu0fBVEnp+2F7N^GnhX9Yj>@f~-PmCevf+1j95G?>ccXh)% z+FD`I7HD&G6PSpB)6uRZ~ z$w`Ryj7Ln3a3HdQp)sJILqo$Sf&ky0u+IMep&@uLm>ve(%JcIp`X`1b5PAf-gy0iU zGk|D#cnmy+7-aoDVB+ist+%y7L23k+uPU!3C9V|$>27FkYl74^L0UVSn>zp?gqn4A zb+xy(HZ`{aKGhW!X5|$p`M76yBF0}Qyay;)-vB}}2Z4@`jE;vx?D^N7Va6L(& z$GyE>KJ3OZ0qQN!@;K$jN0CTffH!J&JFbsb=5S0X`vn7*$+4e2G!X3_!MH=o){YkA8TPv~?QtQCtr4iu>fjO@@KQApa zGp#(wOxMB6(%8z;DJ;LMzdXMl+S~#KL!+$&z-oiR+5xPtF7WB@?(c7|%1_8@>};%P z>VShW3g`l>3``af>xpcKPHZA#=IDaAg4q>PSy5J0n3I*35*HmC8kcY@yUZO-?Oh#> z$d6aD>s1LO13;|pqQ8(La`vH=qUOe|1HU}d_1b?ZV5VK9NgfOgga z@1vq1CpRT6Aub^_D$+kX$$iDoq^JrGtt`n(OU`cw({5!2aKsA=a)6JL8lMmwpX{P$ z<6`21LcwAvxWbTWEGn<6 zthg*GBB7+A3M>msfD4_SgIL2RMaP7NrTQq|yKm*@5K>rNQ5EW&Uy=oUmx7#}+?E}r8Tle;OT#OwDicR>?)vI1^ES8IhpC1sp%<+(GgL> z0Wm)E*Htv7r2_M_^AJm`%(S%Rq{R4ygp&{W0x2mqEjKU3;(@-xRVpgJix6{e@9r6kA4L`Ot~hXe-) z1qGda1qB8LhlE8XCVCs_-Iln-a!%kf7uZXo)(DG^jEhf9PE7|X4J;00z&2fYctk`* zBv=S1rlh510ECJ0v610nA%OutVAsvt!rP}v{mNr~e_vy}*rM#T^n?VU=P|KyQPE&s z837h0J|L!J%t?VdA(E6C6BiW`5ftF>?d9R-_V}^0v%80zySuBilZ%_DPe`=yZ9)D^ zLRYvLDT#1N@KG;&1_c1TA)%2mF)?5b9vU3r=i>zu2oU-E2L^|RM@9i6;h;fJFAqmA zZ+j2V2cF7i=}HPR5AT_JhbKly#)gH2_y+{|1qB8K1^W9rKXGahE&f&4W!(%5WLqo)_guT6mjZb)FkhhPQ<0C6$5N6W2t)dJ9ZnB67 z8;GXKBI0v~wsxk72%V9R5+6DCOc|D@jlQ9oq45LDM@~)-ww4wq2Ku_%IyySKI(K#T z?%g*xx3so(d}M89tgCxRw6&ez&irOtz`D^kj*Z9R$HI)^WZ^_Bul$Mo|zIjtdUQSL${f@4#=H0s* zYRa-QQW7GPvNx{X5W6Y4AOJg!LBP&`Q^&waN8^slO({u{t3twp!r~&LQs>UGab5sB zc()X9Dc)9*l@t>dxpS=STs(XiFJ9#5zj%?4hv&k@ z3!LYLB!va|cm%Eq(czF@5V>+$@Dd*=6%e>2z|YIaFCZj*Ra_GEN<>)b5)Tj0c}|Y= z;8CIT&6pmWSY)&`9FlU<*REdRW@n;jprd7C1QAmP78F!;tW$(!)J*JPc<$U;*0W4Zpb|YDBQx_kc0^)3$IL)?hKiIJG)TitN5?}QLUn$bfDjvthL?-s z3<(xG2J$fq(g!q5l;h)Lq^_R+(eb(Ut*!0tm)pCq*A^xR+v@7!V>1hjvvaE(&o{ST z?ttxv!((K03^dGBr*Ofp{wZ7>JR*D?JQ8wJB4P^c*08#Lq<6=dcmxE5#Kgn^J|P}1 zE+;itu;$^a}_I4-E*4h>XoDt7`!+8kn4h!ODGQaefsX zQ`lHrUEg~D`S|eY=m`1q#_a0qQ1|@K+xN(*sE8maGSczE{t?orgEu?xjt)V9|JC!= zm6g@ijko*zX!}a!0@yu+kfD{iC9n$3Pw;hq;^yWT5e4j>m%a08Vv2KY^mOMqc`xxY zP%-gb=2b-Yep_)O2mUgTkVKS&9gYO3utKsHg)wysa>>Wa{akm|NP| zeX~B@(*lKec8|_4&M&R5A~qYwhk;i=I6Bk=oW550zz|sX0DrN!rFk5RavGVYt~x%W zC@Z@l)=u;0SpxDiLie6%&y+Z}|Oqw{JC0yR0G zYAbIV)uYlf(Na;;Fmv-?5tmicyl?-+!#6lMARrrC`RYtcBE+7FU2- ztEN0ZCl5FP2`LFt(Mjp4DJe+_NogsmIk`!x&F%K0=w#t>KJIST_vBg8Uv{`()bn+< z4-B+^V1MTVcZ9vNx>uCX4cv|16yMCT^+KVCSx+=`)>k3f@ud}FY7A+m{u|`i?EU@2 za$r+0-Xo)96OxjXQ&Q1_Fy(b+BL@$^5U>{+?2m}o`}q3%Jh8HNe)7orv6s(@b+iKZ z$p&F@y?P`HDu%O6q*%CTSQ%+q1upY&^Izl@ z)vKxFOQ&cR0%3nwpELsAR<=;j-tq8t(GfpK2sX_y-ZXiM3+uVKJK8^SHdVjt5E$Zp?+UkWDy-J=g@}mQ zRpR@>FNIaeqYX;JC|DIRaNTwy2!t+B^O%RlMg+QOYx-A>t?r@|k`SQG=NXgaus50a zo)*@zv^2bH;OHM39+LxG*j#9eb!rQDv~%%z@<8ztEBhr;A?`DHILsCmZ%LWiFG$=m zd#JAeNuFk3zZNz)|6*rrvA>}tJ0&h6 zEIcYY%-i(lc`7_Cyfb{#>N*Awy<&?XP1QLufgYAh92nE>Jqz!!h-v6(h>)gALv7Tr z@pJQDU?crF2UgI76Z4}*D#=J>Bz_g}HM+;ms7!*=N_W8F5pz3_pqP}LvZg*@HKt%W z6TR@Rez4pd1Y66+vF>-})t%yMMqeC!eE(`?q8}_4y9dW-mN(uU9v^Pa_qEiN6_?g_ zE$)3jehs$F2PPL*o~~|ezkazq+y(;7z*~jXmggk}+bi>up&x^NHa8qf-lO+k0ha$meGD0KDm1$JgyY6@}+8b)@W3tY_Pc$nxIm|z3+ z_!BZ3CN>r(8uG`z&E?4fcuRd{QFdxVTugLSL@4lm{Cqv1I5@idhsS`UAtB*O1+~ph z)dd-8*~Qh3Q25~7%MU1MsGs(p&kc7r9Ux;7fN6@9_%sOx9V_n@(QDx3ikz&J=mlmn zyio{E7M&g;&gy8XDM?@Dpv2r+n4H^qj|#SCKkmL*U0#?O?}OEs7ZsJ)LAwUQ zIu)D-s;h160K@AT8R^5D&9$}Xo7=Bmz1lrQ!6G0gCd5X14W^El$JivaEF3(**-}ut zeMje>A@BylQ7CW{>XG#WBjD!9%gHOM-qAHQ1wkYSCsz;Pg!=h`h>j-+1K3(UFg3iZ zEXl_}fV8=|xbYqxkC@~%F53Rnk@ot^vWnW4-s$zdPe2Sv2d|z#eY*bo2n`3H03Qb( z>0oyk$b^uBj)j%&ECU5T>h9{o(_M73bC+)@-d4YD4ty{G#2Uot+&w%!Jw1R?wXwKw zsHdx=d(ZIx11np5a5M?91yShf0bFSZn}=q`AiAY+<0>};3D(i}+S=B8G+YuYT6(%O z6vTK~sK@&|TQ8okJ$t&mxUjJJ^u_Km07FE4ng9pwcyD`a=K~rp=^3W8EcBH4s5|pR zeIv_!gAtNJyKHPh`IyXLmh?;cvk1cK0m&F#+&49UU}0%x zV{7*afy&WULZ~Kh_5kLiy`JTX;30qsRNU*lDvIOZX7)vWFD-fjzmA{k%losY-Xv{z$rUW=cWuI-9#L;PuWEnm!AUD8H-AX*PYQqH$JeW`^+iOkHn%i4d}~|;Yyf^u2vp#*^?QOs zg})K`5zIdX_QPYpKm-^9=(e<+VEPKE7TBCN$}6^zcuom0)ho6 znLp+Hs?JXea>5eP*4CDjC;p7s-zonY`7a25$oi?J697L+=I_hsPeA<=$4~cPAN-Q> zV=F)9{OsXBA@o;^5p5#s{uZz=ZG5Zon=O8S>^DpQEc3S%?RW6}*wh~(Isx=&bbqV- zb#q&E&{tD0U)cgJHf5@NTYw%})ey`FW<^OeVN`S+S|4m8a z3!s0dZ~wlIh>9ZG{+FB3zXkYbk`nvkHhq~0{#G;pyz(z}<*TSp+5_Pf07w)#2LCb1 z0rEfB-ESEn_oPUy6@d8{kIX+{-Y?-GKzxPt{o)TE|5q3N0?t=3KLhli9Qt1gf9>TD zXug5?1>S!(JATpLcK`_8{hGd9e6RQ)1oR_25Ssht{;L{)1N5Jh){o5jH_PF#HGcx= zS5<#2?^l)nm+?Oi{Eq|w0j;R|5rWee;J+6rw_sH456uqd(56%6O{MU#gBA)mqfvDp5VCYFW_Irr<_r4UMKkl?XM(%_UCJr zpBMceW&{TjUHl^2li279S3y+xJMQlnC&0fz0hNA>_V4Avevy8t_XXM43`8{cr-Yz! zLg(w(_fE8c&@wn3fIy1~s(;1uOCrBf7D#{{=6={p^W9fcSew->Lo7*6-8%(~{q#@=x;rl-QqE z_=$~wO8*K!nKsmh~g?pSAqs^M8@#A65H8@7EN52JL(C zuWEm-_D2-{R@tw}{(?o|_HVWKud4iO82>jo{#E_?Z*AxQ0qI)QuXtX}ngdrQjMv4p z@nqYcY}*rWb*r0=$+kV&=8cnWd$Mg$cD?_P@$Qds)>&(xvws@~=Kq%hFCK6n9-VLx zCp!mqR0oZctcFIlGZEJ7#Oi*VL^~e$P0W_XkTK-T>Qu%lG25aN%-0KYuDkLN_ z$jlDd@5BM~``pSN$nWFr$nV(uNOfaK=3{m42JY1T=lk!>FesTKmH^Pl1kD2v&N_(4 z(t*1GIm1z8f+muuVRBKV0VOh0yZ)>WNeZ!})(nZtfGEQg6*jq&wEeDku*S0#q6M^2 z+Hhitf$_mILn|3}CRGQWAS_fnv#W63d{ji6wD5u3>BMW~MH{5LxETpxc`u-T2dhL5 zu=S$Z|BxB;CsVMs#`IDZ?0dDGkwVQi)FO+`?Yt{K{5l zMhJX?wl4xtg^>wTQhhEcIMDkC1K`8PL0m7L!;OdYh>CUUe(rTN<37mU(M*9B7PmY? zQlfBVi~IaHrdd+Spv_e;N5BS!j8=$~w6uqJ73i4zEGr;zDTM8a%B~LXYR6&a zW38m7rB6tt6vAQrlZNmI0M$Ee>UPzSR93afE?=dD&}2rtQvYt-p_i z>p#8>#Ijo|vH0mIRM?{tZ{uwe9&e9>-kufUi`iAFP_Es6{kfxn_MC+_!o7~tx@=Gn z48vaAtj;>q+GeNI>MkMyHcUatoUdB{;S9^UEKFi{E2KnyL;K43^TXeRXsy({WXAowUoktH+AX2h+*f<2a-v=gd3C-MO{!AlQDKTc2+bR8AyK>73^C@A!-)`qQ~rj__gi_WK{C zOY=3^d~ZY7t6e~p#tIYqcf0IlotV4J%^@(O*AP>!tUlpq`PSpo?qw9d~4tvtP>z&vl) z5AuDmg2vb$yVYH&&ilBe2 z1vMJ0dSzBr3RSuegR3%Q`G~oIV6WrgOEP*pxq^)VSb{N(_!7Q)astG%kx(OY91E*Q`PGLZVwUm0d zzl5J}kZEAymAi-!K6f0>w-k3u(?TaDted9T3<^hBeyHbYh^E{Y|enj&lcy*}0`i6r3aoh(!g+>_j~#(blCoO04chSp$Z zHlPn6XE~_VJW(v68dgrYz`BRtX!EUhIKI&Je4kf_?>;)rKGR)_QDPOwrAJRMIYj$H zSECylQ{1+jRLGJAFn~mlv0xMELzwW9ILW|TH^up6=8i&lFG3*ep_7Zx7PhQy2!))S z(C&udk|ca#6O(()MjJ~y`!f$_6JN3}nn9x8VM&7n)BA3-rL?gB@czZtp}z#6WF+20 zRPG|?{lUc~X1=8}$o~>-At3t=nZP??4%HY$qYzlG;Bt*0rmkC}w%er7Q)09MoRhls zpqrf_SwXXkn0a#*nPCGwu@~U;2udMmoM5;oMz_;k*DRgTG3?|rh)*W(o>l7|Qm8kq zJ-ureolMh=>B$vGV%E)%=#l}#v2-zpOHp1UC{S$1T4U-2(3^d$TZ|(3%B_n#c97vQ z2;^UlvANdggl7&ZMPDLklT=-Pe9|*h`LK&;t)v$E4#z*NnD(+EU|&NIOV*?ZgVo({szcFcK+n;E##IkGyuc zBs*4DTfA=nhoEI{SwsczmY^f)rDl1{7bKtdC1!;CX&u4A%2p*6Dt$m935-3xalElZ z^`&yecbz73uxdIjxe@!A__X;+H-T|A$2&>tnFMc_vc z*Bms+OLTr&GyK18saAEjg6Pgx`^ntAPKnWe*r>Wnun!z}Va`&ya8 zoPoHtJc(J}9Rw{mZADv=a!9$)EpWI>Fs{Tg52HGq3^bf|dAcH%M_7+nrO_hiwPMWa zSr6!pR+h&lg%B#yRp`7Ks23!#b1OVl24I$5ed&mv#&1(6xkQ(V?^4{-Aw&4lhXCLw z6%86FqQyGD{IhI3Ei=QDt4uM{Lk(zZI!}0Og!8CWfEz)>>WaP~dNuf++Q(6-n%E>c zPMz98f+9&z?nQz-sd}yMPEK0%4#pw8vHD@+;>^6%O&p_(p2xZGg){i#9@{PD(Q2Xz zC`_YxLDorEiM}NJ5`U>3>YB1{ko!hnPrkkpuHRgUB5c6$>q1C=<^q{M(p0A+f#hy=^4B8^o-V4i4htHx!OVck;X zh^?6u3r(R?bzR-gSY7w5|C~lR>MmUXTV*w4UXP_!0_wygYL9!C=i)+Qt@tDg<{kyZ zvAH)iC2^mQV4JyUlvEw~66(-75Ui{HOoYVZ;)w;mAQqx6BqucKXx*nuG_$$sX1cj0 zW>GnhX(~*4S0rP_^(2eALd<7&nFkrqc*?I(5;moDQ)IF56&opFKDQb~mewq6A6mBw z1}f*9>z~W+C3DHTGQaL>(#diKXo>7Vf5i>@F;}YLklddQ+Vf}^2+%W$KRXb1%Nb+4 zT0+;z=$9J?BN~;!Mv>+?@_!k%b9{;zy`fFeoH%<3nV26(k^0$9dVRn=lqQfR+N5;o zN$@8$pG0xA;$|ouL`t}l4L911zN>NWTtHVoU0vtSLujBOb8i^IetrEPFVtt{9$;tl1Y&w;$1$u zA54~3Q5KRgYNjs}`Kg+Cr|IJ8lqUYJUk3-m@wkFr7Aw?b&AWSmXv)ZvW83zJ8}CNl zK92REW{-uJTEd$Nc5tr5m5ITotECX6ZUhyS^*Bzdjo0M$tLB>`8-LSLG1W=RrHf|w zz-fM`dMrgY&x+M$a*@2b$Ko#JD{jcr5$Cf(f&E8VD5;?ves^&Mp=rg^j87^)5p1B} zA_J=qDat|s4o5eky_oEw$kgY~xpT^ONF}Gcp^gD6XCF`N!V|Cgrv^K7v{4p2i{ah@ z0A-*VaCH#g6pLSuH44)kWJctE7}%*3)Y-ou`?hOa=u>!IFcC1v8_z7#_vhR8feiqJHp$MrCR;nfsO@ncOW%9N zsqNbtU=iTOTQ7y4k9C8F>5|YD~7I&-~&d44brMGCWMNKz$CF{ec z?2}>C9ZY&-ROMbtq-01L8(ALZ$DO7V0gAnRX(X7EIU(6O(@S$hJ1#M^=U#V*$R85n zYE#lN3aRIS2%FFJn@6?~jFVh>M7AIC+(kXK_I%rioKd)$%ZYG@Al!Y8r2X2`5QYh^ zg2KfrhFYAi;Ik{#8jCn~BhHE6D#G8D<&!+@Q;NN*cZx8FVJlZC)P3cQQP$&jS)r z;}5NHG;E*mv=fA}hv%tWOnBi6L6bn5fV<-^lIQN-OOui*-&-e&yK|zIJ&|$FdLQ@R z?WgcaIhaLbm!>G@LHfKr?-qzBr-Ilx+l)4^&4f4prRF}!_~CZfYaydk-V~%L5z}Mh z_MR{us)^+L_yp5TuhE}6CA%RNL8itMmqd51YFIQRrXG7;og-E-1;Y_v^oG0(YVmA6 zo*E2HD|%Dss(g)IqvykI>3S!QBXzL+$11uWW^z_X3tST(QiSG>tLnp0LARnG{^*k| z#jeO`kXnd(FPDfDZF;dNvUpk%i&YKp*t0Rol_S9Ag7qV%-p25c=us)TqX5kwY;mqw z_z9LfMr=g=Bq4fSwgdy($hglTb_1U5-Nkto!I!3x;k~GhLlVf)IMOEgNVetST~=;q zMXE3F_F_!G9966Oz1n&qB&mH@XJ;AVG> zO0^RT6N7N7%;d)UN7O$40}WMnov9;U$63JA%R0Sm=gv66-eT#n zwKE53XDN*#7+8dffabaCxex(GTZ19VaNQpjDWuE0%cR@p;{%%(E#by$_R4Dds_u7H zKM6NOVflG~o0h=ZK%XVZ{1}AC>72)ts-}s67NzBCbjs`#we|S!-Y5`_dBM9l-Po(n zA1RpQ!ip1UCbHNvFj(i*HSEng;ofT`g;a|NIS;oM*-2xiEZC)Ek&qZLn+*{iaNtn!F!K5&L?t#c*~H|tY>swKtC5Vtyx6*x}IZZ zYa1BI5d3$8AP(gvH2Fe?*JmBK0x8$34?`}|26m?k+>9X!bC%1l2b->sZ^hN)WH+qC zs=ED4ga7(9KvgKyAFH31WRn3S`N4+eNAzhguwsv6EGj z0kEV=Fs@wgqC44n(1*7d15sNL2a>vI9>m)&qIfsQzthv5o|(-H^UroUrZjFq@6cJC!3C9#)BsgEQD=q z>+}&c!mcA=V@@NLAw)*eq}K^F7S!vf@I|)v8wSE6eX;8hb7cxFv*|S-DHE`>C8?@k z@wF>cRz@YTgS9iBI3hp`dwrdH9vKGqi81vofwstzdTb`S@mU!o!Y+zeLUNIg_tb!? z*h-ZzX9nqgLOkgM`;G1Z04&WX7Qu+*xj?o(S}sfcqbn8?_v!y4Evk@=&XZzmX6XIL z^6GsgH&DybG8BUZ05_bnor>5PL>f!veg6>Q)#=MOi!12xLO!LRA{41mN|sX^vt3u4 z@1v^ZJJqn;U4&0m(A%I^45aUbLib3CBN-Qw#nFut=$V~Djw_6ilN!Gb0e$?xRlo4#1nMMP)Ys`ea&g!E4Se+aG zw(&1bePwA_L77I{8V>I)&!%&f?j;1`&{6tnxnm$B>&2+ciRGbT>b6Zloim;}`Rhdi;o!LMW<1WlRDkn+ zRz-mcF)1VrjVi-cjn)u-Ry%3FVnbr8*JggcK8?@}426;tMaBSBQU^GEq#nJhLUrjd z=*x*QQZxa5pGn3#6FjI0KrhotS&=mV}ZC%b`QY4Ly9efxHI zi5X6$WTQT{FX(=E$FkivY~4jM9~q00ARTfc$DqG=M(UP7=4fSW59oDX$iC%tKIqq79#Yvj)F-7o zqlbJq&6(>2bMY3KBdE4bm5Ggm|lUe${h@*s{3 zM3$#;5voTa6$Iwsr|Tk`5HymFdh`Bf1Pd1xD-yl^0Ro4U0RT$?3IEEv`f3zSKy78k<9KtIuh?Sp;@0}K1;FK&Lut{6KbeQI1OJkmeWkLt}OhU>OF>}q=6vwzY z-DHDVWElt_4!6_#1bx|9q?|A%ups7Iab{^h6I*c_F5TY$sz)%KC6w99r44( z=^yq&2UrK$Ue2bM#P0Xe6Dt%>m61cEnaen8m&Vc8f~rt3PCL8`-Ff6;UkA`ODcGj@9;vk?V(e-{Ekf zrc+J}wi;%5#iX{<^tube5f(p&B9A)vtDtNiX}XCx3$6uB5ogrIb1|?2EH(h@PR{sb z+Qqa1F-M4sI}}~&*Q>5_R&gmR4kSTAU~)uJh8Le-biG=;}Z;1UDAAk_;EKhTwP!W3A!o=6_tPx{^J}&hq+I4 zj;GZ%7k}cErSdd1c;2ymCah&)+;xYPBspvM&SkaoI|6valHnrXdSt;uDp&Cg9&7fg zjEt0PO^`q-(lOTwt8Mw7ZwurjS#rn`lN12A+P2SHsM5MYZ$3C%;GPfN2+KfyUH*I& z0SX^8P=W2lf|ulsNyGa?q#LmSsi=a z@JT{3ku&==G-}j8c=N~$Ob+sqoET)0o+OOgF?HRZHGUb)*qYWm>Zy@79-rJOYifoC z;9FWOna~dq7zJv~>DKaNb_>4hILeH4C|@sO%W>i;!EgE5K2bUmZN3?%jUxe_fxP5A zDW~#otnsb)XAzBHixoxpndP~7BOY+op%O07cvDe8N`^MsDG zQX%WKu}-NfDRlnAlF$*R((4XH8*IHM`2alGYSBDX$z+D+GmYeofYfm)JeK^}kd%@1 ztlgErc$umgt-iAZ)7wfV4Z?oTKy;kHJ&of1Y5pxHHWfA|x0JC85A^Dg8XLK4&B6Qr z_ObkEO>ucN6?6~!e&k}KOIv{-BDsFzXA@ryBz}@QLGM6-#)GJ@>u^jvA4BS0l@S)JZIGJeAj29&TTmJTaf84Zy9?8964zr!*SOuKPSy? zyH_rVh_AHD^ja?&vl~kB<~>|iuOIk__SSDR0by?TwN3vAEmE^v`@UR)mw^@N#}7xS z1riA|WouQlT=$Jc&IDrmgF@~A{8iQS>@d-br!r^k1_P|xMd_Dk{_r^?u}_skGb&F( z$YXQIbcS)xe0Wk`?ojEJ4R5wh(=~dNTsmH+d5^j4BY+Ugc0{NpVM~(+KcN*lZo4kH zm;%`h@&tI?CvwPesHo7V$A2kSA{UGO{9G+9H$?zKY)4-!Y@tW(DcU{KK*G}{pvAw@ zTRFW@N*Q7w=Q4w?vBO#nWeFEOLtNdQzfbZGfYZTlqo~bWPxl7Wkk&voyM!9VScENe zGTL#EET>(wojEQq<;I$He;UNT`ZdAB@hA$abbd2U3k4x!#jViUI6Qnvs4yP@@)$88 z=Xanw^gQmypYWtSY0TOWv1j%2bZFsy&;-a<6i=1Kw#HOE@d$kFM5l|=XwwKIaAEK~ zOEGGW8X{rDR_khbv{4Y_2h>Ge9#J#wZzGw8ZScN#$N44C&pl`=4Q`}%PoON*$@$cT zZ?e?av(_+>CLUt0dF7cGIa6WJL_d;S4mdW5*1A}NcavKblsdq#=~{SQXipmJPOJb^ z9QALDkl{!P4{{5SZMkJ(ZpQ8~P`e^%WG1bkfOG&a z`0jwhfXZ9e-?tX7M0(Tks4p90Fy`EE=?>zXmzkNETRmVs?(!C!5vc3PqQ;L(T|Ik; z;CwyZ0wGyFNM~Y0eM3@^F2_!gmK3YFm41J-Col@)Bvsz)j(Gow&7Z%xxEyW?#R#pP z74XGJ<1>a!CR_F?aVH9&H;mYypCj|POA}1(peUd(7)N3}+3NfbFC2xm*shoypDFE_ z&`AAip*XRU2z@vzWLU3ANO_(egkNAP2a_0^i2F6qkXxCIsI0@}E0L@kI~^sl%ns!t zJq^P_Qs3`MxVd#t=SchF#9Ai8)Lguj$|zveG^8LXr)%^8Imk`Sb(m|P7C@kRJh#ol6dxP<-r{@GpgttUKFakW4aY`78?iRIjaWIb zV1ut5iHHE-;Cb_|3Ko0EfaR8zR8OiGeyGZIcPw{;LVO8-JiBu19=^OYcQgJra)KVG z@NL*-)|~sT<}0C~<_NYSs!28fCNJws1%6DiF)FT65^)&P92OH(?=!smv^qive)U{A zN9@d5%EnQ0^_5!J!M>tXs6^<5Lg-6ssD*|6^l(5MpR;NIe1RUgTYMe;Jp|e1nOq*l z+vHJ0U>v{Nazi8MKBgKTI>YeV1zuZy*@L+-+|tY!QHL$Q0X*85aQCJsPn-}@PwXM> ze_{ZA_11HI+dGPTn-tax+DMgA_^`lVmwLFbxC>*t>D|b?>&;Mow~FRX`jn z2s5i1Fpdz*Aub#<5b7L`B&6j~O6Sl9ibA!gYm;Bg>RwvzP{rK!7mJNBFNbBAbG&`x zWG<|qs52_y{^erFOBJVCKE7BT`E)wCvrHaWvsrt6SJR^|6Ap?22q3>}x@a8a>*?)c zNv;Ax>bek{X|Iwo>kKX{)k;@5p04Q9ALx#XdNz>f6PZA|#bS z6Kg(w??W(`${`bnD4bwg1jt47QgTK=ajvi6!@5X`!-Mpgqwa6V)(wAP*%j{_U2hb} zJcAk=IbZSbS+j&ZD;YvV1;MEFcU34qbD}NT#0}OD+8?S z4v`iQV;WwyAWo?2Aa1UA{3_W6TqwdJgrpadTKupxy~H-5wk;DjaH628hkkcxC#9o> z%D%2rzFUZ$UTIc^$uKS~B~Y3C#K6D#LmmNg7r&l$$Rm;~DSi`SkD`qFvT zPD+C4o$>*>OA+=n?RCk$)B1XHn5BN0wSx7D2A9P0uP@r#;~_7LOW?rOD^t)dCs-@w z6RymD6_u4CTbqTmW1s2}wh{AD(fP=34aWwWD(@;tU|otTj*b_L$=%-;H&QqwN(Ie> zaXx3Peab+N-zimH`UG1=)}^P|U;bPogsf4zLNUYp;^vmz!xWd<&iV)ULf$D3+ z33+*2sEMw-BIVXn0*)@~OzVYJ2y}va7b7N&n%)SNLw!8^2Gy!#8_u zte)0er?Ng8!7^M?-iwxXSSL+{mPikCHzEP=e{;8%N`OWn0-IXkr;>1sRp~i@$%4tO z9QP=a3KKIIPzkAVDNvvAXq|AJoPkDUydZV(sMN{~lVXGoxQ@g{%cE-^E80|Ozkpx0 z&$&STNXnPqiY^Hp<;G{Z6Ch?h3-3tT*I4p`ywkAaD zBdXU;vMJk`8Wf{uk?6#^in8zWpXhq@rC^`AbRglh3btP`-WfWOQkBt*>$U#puI!n)@ z?I%HrIn=Ct`1X6h#sm(0jJ9ocStH$ejJ3y!K+7-qU@>YMOONP5ya&$T5a!{TK;q}K zBS@taJY34Z7W?@**T)k=+-wDTSnXi#Eef6Ab_pExZhh_dTx5!@5%1&d$!6byAZ{FK zI^JDqEDy=NDK!Es2GeJTLaQnayT%;Ujl`g^ac{4#O-7U^e1#`wqv(@0_!X-e^jd|} z7xEQsOKf4PZ%kh{Psvi=Qr3L+&^yIpT*jhTEKsr3qrZJo3Ex!gFh0cG2?v>(!O&sy z&Z0OKx-8Jflhu6`p3X8GgoODVED#)DqTiKb;?UC{MXH`^24zO5Eqnsuiprzdj;fHI zxwUSOOa0>I4Fl`aBv__x9>5;Q1&3EEFXJ*^KfLyj^)7%4=9urdvt5xo-SfF*;*i)k z2O4dv30$$L4R_RMU&D(y$4(oBDf=1fW*5P(Lqe+dGRzE;Z2LznfOBH1XxCdr`=39Ng(vnP_}pD7A1mF$n*f)cyeG2yszqQW;0F>ev^?biSJf&$$B1Ke>v zzCfLp(V~7EK9%%F<^uOm)f%kFwHZj5M0b|QJKxwic05?FoLL#_E2;Jy)S~698Ws$c zv`z(4I7rL1z+`h2t95$m&!4Pw*n}W zrOyWAFD<;3Xv2pYnJC-9=i9q-is&|gi&%e)C5mR{fdW@o4z=v{K{Vp&FMg%Q|0GyUOlrfwxx%AuIHzn-O9gn_~eEHfSE6lWHnw`XAHOz09fB6M&K~J4&SHPj^{Ln;izqt#5YG&$pT7c+3_$8k| zgJ9B=ejYVZ>rE_+{@2Z95YCi1!e=TI5=rY_ZI1P6`xaf-Jp+RW^W2-j3#*ZRc9t2Q z*k}u3O{g;^>J=LNW|L;N*ZS@s^Yt$}qEh{TI?nBc-gR&coEk!domuRnOoezk3lZmt zCT>&daV1ONRv+ypq(jB6RV$heQ6&*SdCPctBdcQ(15KxdtIn?YIJ|EW48m+n=9TXn zsIYGAss7hXnTGDq&mQ{Jug5iI@UJbM@Qq+T ztCIDL_k^!QrUTUi32hj&l%ZoWO~WX>XVyVaKlXw!3Wju~li08SWQtel^d33)v5U6%&Wf z)9n1_I5!bYHE15>XyT^(<+a}yE5f`i30(_0?>7x>s`X~SNn&YTf`}j0-!X8@y?$=^ zv9PNP<}PeulRj1hlI=VrX=J7b8y=C>6w8uK0IAPrDyY{+d~c?aEtJ*-tt<=;$Q$fK z=Q2+i(Dzf%g=jiCoOh$D5o1b1Ps>pXp`XR8*6Z?$Pnqzml^*&jvNwPWeO+|MYU-MF;jGH>E9&-TT;DMLq);Vy>ffA?62c!=2-M|8#W!m6kW zzWOt&?Ts7-t`9UT^6erWYEBB8ixLJcG!*KJ{Y;K89^m5}di$^R_3cl8ytn>3QJ4Rc zx@X3bF8k4Mut%Ipi(=wMMRvU4^|(&zkyS3c`d zi$~?2T(ey`NHgKKDqTQ-_)(Df%t^GI9|8d#CRzhX!;rW0NhKo`UUN)7uMPA*GQ#m-24TUkccZqiK9Wk)Z`dS zc!#ZmIq5=u{DSQ(B{F~lrm`-gSCvGgxs6WpD3_w_Ll->JUN+1%Ugpb>4#*7e=Za3fF4KYnoO zc@T5Ci|$}I4^>SSVP8Fi$ZM|o=Z5s0mQ;v;)WE(mjJ51e(iTsSnGvOyYBp)+aLru( zzaM2-96RWz2Fg*bI3l`;3P1{&*{MMA99ESH1v;WWRv>Y zfFpac_@iUh+oQ$U5GKC~1supgRNk7-3or5+Kb;n=o1M6M1x-E`6@-64Q-PEu!YmZ?0PHAnjQq4Ycj#EzNf_4gDR|>VZSJ#Ku z(HLZ3{&f{mExVsrh;bepcpI=nD4C#CYG&s6Y{MCop&B$=1Q~cJ#`rKRBoCqEODV}> z3uXtwddwrfUemR7C>6-qjqJ*lL){`DfWbmFOEX^z0jBg3n89NyO!}^tdb)kG1INpz z=tVMrk7*`-`1uNd;%J1OU3hLfoC>GPULT}Dsht`LnJ2M0kHy*F5+<5C0OM2M#nR)M zF7a1it5$q}pOVLy)5Obg`O=uTOQ5aDzD0Iz+nA#lW1r3r6Xa)dhm62P0HF+kQ~z}P zevYX-#p~}un4Z~AeEQ$GpPP75(L&J7n)&3a{;T`R%!qdT8~%vIQIl^p5L`rD;Dk6? zz$=Ab$ihNiO`{HZ)Z>OLo3#9SVH|usPCSN!Ec>jZHqfhZwX7dR~69An5zeNU$h zS;4{jW-)Bz5Qk1sRgHk4V={w^G5X?aF?0B#%C!wa-}G-E(LhN0KOAB33dqPc zSXHN?s2#e&)}*mTm{__lV`RVD(es@JoLRY*|22Xi**s}P1gM*7e$CWvSa{=NOy(g+ z-2Xv0UAR&!PmK&PG&J8LM_Z+@V=#P88pD3&ci3Av^eIEP_$>S4EtH7T?I#eNoG|s| zzZn)VwH3=-OhR6oouk?YE)mcTR>&~LOa1#Y7p0z|PWfN6syZDfWfPimd$-^^fJwD2 zq&{6eEg3ntU}PF4Tt|u3S7`s=D&$T1|Jb(C?q}oOP_INQmaAzLNhZfp;%n5;QJLF~ zSdDyYHdlev&*74Ah)({MYpCBoYZ>9min^zVqbW2C^BKtaV>izTY)MXU4ZMWSh-7EZq5B47#1t)b#MX@yoi*k;18Y(o9B z{_EUNFQ_v}TXwrLilg8&{uHe4@Vatzqs77FmNiFaU|P5QMW`9+-I^f+;X@MdeT8$l za?4C8RT`%5qjBUvE?`nd{obstO~ zH&u}l7%KX~wm6d&n7?BUOUk$`ebGTxHmddVjuMpK9cRbh56C&sFy?^*{4!ACG*DnI zNNPoyyAG7!eldndjQH!Dq|9yr)aa~^d{KR0cvyg--k14qD2}&=lJzy(ozbSY{xjU_ z5eG$TXy{>V*uPY-%^5K{S2?rW=H_%BhAfI0LwS(zDRtyCEcLvP$wQYn=(RGuR<7G0 zhyIOC185Tv7Gf=`5CD8R32x7Pt6{NnpdH?a^(qsp zv5jdrY8nc-ACrh8S%=Rnhv7OY*XG}@r>;b;sLX4X21No4i9x8 zIuDL}N(~n2waCTjoNnF%V;-s#@cxxNb-Y6x`JGosWZJqwQl4`1OX?-SA&&W~GLI5UCedgg+0l@hOPw8D>h=IgKm+zHN5aIXh-#W|CnHNXD74 zs^}$W4CmR%0OJsdYz|I@l0N{_C<*yW|J`;|=vuLW|1*)9G_%e7Hq%nv;7nETd%CMt z`%)72Z7*UyHA8k zBqDNb>mh$hal`p*oaT0n-tg!FWG8Cm1_ilV?$FtteF@#{rz6BD6JFG+40ghqGS%+=zfYYObgb@DEXg{rK_=ZD z>8FQjEplXY9LU@aLubaIJ^uBa)e?jE!T#dr=s)@_ei zq$@tk0@4Sfg`jKmRqGvt4OAWkV3~z^@-^_#ZOe_LeCTzCU7AbDDs2ieMT5Hb%Hrhd zXVW;i7WQMxIFB9kc%%q7eh86F!z0z_01!V4a^CtMmx#FKaBkI|PuL{jC&62vNykOh z7>lv+2f_@m3NOJ%^@h383wY*V9Rvl`rR416becsA0t(ldqfP&q+fhHF?^wb}-4opZ zhEcAe9RB(WiPMD{gzR!*pR)Fdze!C{?b!ZX|yE{>2mzvPvA3Qh8_@ zE|s@!eZI-pus3cRQyJBCuKD!a7@Ez3)8K`OGFL-mxA~{5avk;Yd5k<_$QHrWntw!(_P3n-?+#bc+Olxv9hAl5p7h*If zc-KuQQPj6Nq-QhlD{gFH3_l-zGCYN1FqG~7mEW3R4}HlP1Z%wOZ}j~Cj{{$I?q1ckIo%N(vYNK6;`c{b(w z%b1egLk-V<{a|GEwQ-+c?~)-0!#}ffr~zVHPTyFYP_;vqdc039lnc^)iWm!z{E`Xc z?_na~ZgxNz?59WgW{iI3i%JBj@; znm_81O+@|eU;EVW(CP?3^r<2I6&A01F%gym<&je_ED+{*&yEzb| zv+?0G-IsOwJ6&8~_ACIraY@CyWOLZ73U+pTkL4ihOXyrDd#mL~CL^X4(HqM)VHTl~ z+`O^pAmUQU*yH?3M_Ceya zKbS<&)Mn*>R4>E@#y2>sZ1AQQiGbE9gwp*8kk(e2k&=IAW4DXFQXiO^)_{$nLes3_6Cg)%;z~#Ot6*MHpn)i?tD@!!+JbTX@acC=d^C=; z$Nh>?R^WwDnK*Va;iNo?-Ir#qB+kIG{?LW19mt5WS7I3Y&6HPPnba!h3`c>SxmvbX z#K-iHTurKWG-1|H5Gw@kX!TlG4ZIE{sUVKas7cm}^VTSF<0XM_wBKfTpGN-ed)NMV z&Gbe$^cQ!}#Cpe8^uWrYkLh^AY~<236thaCsZlvPdmSV5#3QUG6&w_B!#d>?+?>HhPm?yTFw z6*EJZZa`aJnhgg4kfj?0Py3ANSZStC(3KR2st8&|B$Ed+G_ijXfd&>U+y{N2`prhF z)anEBFNfp$TdiWhx5}<12L=3~h52bpNkpFSILSEguzA(hh`9yzC9K+{Il@9-Jq_nV zA=b`8RRkuLQa9ZZjV~$%K~2T4CAG$Una(;U-t+RnhxS6R1mhsY$rfl!PQO*3bsZ{w zEYGgrH=_r_k*d}P>E)zJ!>DN_jqRjU3VjaSb{jQROlyZK=c^CZXpo1#e^US-Dr2hV zea#>BbJjw5V1oMy69hL|6+vMh0(>R(XyAlO@FXfs`@^n&WCqbz;HPIWN(~J$t@!Vb zaSZ%6hP;qVK}ZwIMrc?3!2i}{en@9&c zzWhW_0BJAbe3-I+L(PHt`NYC+WLmQ7JI(@TRplbW`P3mgRb5Dg^;!YH?1)V(d&6SW z?i86mPH4HOuXRyQP?Bb550Cz!SUTt*cY@S;qvZI!lVSTX6m&pHRxf6{``5Y-6totX z!gW#fAubI<|JTl&z*D_-f56C0WX@cM5>XUomN6nS7D>unh$xcG^E}V96hx6Oh`tG&YUTf{OekT#aw{IVas_qCq z6ST$nfeCW9HXn^G65#2Z+Y2E-uHyLi% z$IsdnTi_~-N%4V~=ron>yOkwSmp_#Z58CM3s(s$GPa6M>Jv}gvSY1@{HJ^8+rt?Qa z;ER`8L}Ln5I?NBt3a@OZQRZQDyq9~6I!|=*YKma7AWGK;`Z{Y-;P{zzowKjKTiaD9 zjJxXd=5-{K|A6WY$a?%~lV4iHWynRSx+VW?$4i#&R`}s< zLQ7@&ihTYdf~&z41*mPZe?rMt*TH1DR0-g`faurnUw`Z;5=^lTo$~smr zcu1eaRW{#HjG6w$<;N#Mwm9JWTXZ2#3)5Mj2BiZ0in69s3fnu%&3D`xIAQ42fUD<} z+a5gOvGZP#RnOWTVz<2x&r>-RT4U8*^udI<`NRc&({~>`+BJA3>!J6p?1Y3)xSYmg zIUQ3sx{=xU`bl$drQXH3*UJP^Q?O&W+0| z&y=+4mPF(Yy+cKqa(Uj8TCW>Hod_L=asq;6IdmxPk84;croSWKA-y66)yW@xmixA= z9D6%dZ84Bghf+#lUc{N@gnqL~xG!#fCuNEj;YY^TC*QjgX6vK8P%AH|mt@D!-&J=v z%{sd)XhgDfdMJ33yWhXSr?~4QC3v;IE1lCptiGCa{)o^@&W(_y z6Ot#X+Fo9UZ$7J+AIVoxAs1Ixg3TS(7P?|%OzQTGFL^jI9m8_XYYhn)MvXs zJ$q+~B3;QBmzVleU-~e;Hc#LmKM}fZ`q8pD($<&VDY?ZA)^E`Sp^hijC7fZqFqu^C5z8!QJeVEQ2axKzkqg{6iD?abvn;3ALrKOI!bG89$xOmigIYl1}y=YvddECLkL`xWEi=XuN z#5=#7hZ|hmR_B^ZGbwJPcI_Uu@j}gI3(I9Qmp;a|V~d#J-$bccui&OqEE7m7soLso zO$Qy*xnXd*m`%-)Q)05smQ4`bifQ%KPM{Qc$&*ynsOaUfG`bd|x+@P>9g5Nulq_r6 zSSurYQ+?hjzt?^p7w>qhCP-P)tzdz}k@ih%S;IX^NTh(tNd-m9$@$roUPS+N*4d>l z1#V`uXA1h({AmmGXRtTYJlq1Sg+#*Zq32FiTseGIi)b{^rYJkdvaU*t;Hg}EGW<+K zC#Q%jp`tNruq{H;DPN^j_*9F!YpMf&^v+&2)-YB#-z@hL7qKy|`e=yx))u@z`8YGQ zr_hBroF3t#+j=-7|K^QKeY%fL2CMqF3k+JcBDFV=dKYAOK5||q_hV&{9(N|UXSR@= zBE^Q8>ZA&%$Jt9;-&i1tRbMlUol{Os-W|F>RvB`W=bqbyOtXHQ^`YanEObl@5uIlp z9<3O4Z0VLMeclV~rpj7dNxDqw+7tgm#3QnH#N2ywHbe916+_=EP3&7jRf546Xwqp) z(3&1#gdXOaOl_d~d_Vlg+_~A2Xpz1roujNTZ;CQA65zq`J#Hux_5{_6 zAUK03wysI4T}m+Wmgj`O_vBQ=x}~r=sx8??%pa2q-{JIOD%%=Kk|aF0<51GcaYcH7 zS3XMjf%~|_24{HsXUj01z?o!k`^u#~!nM}}$4Y9_i`H66v{1Kg*&ns6InEfW z5fUA`u;3CjF43$H>m<)M=t`b(yguhx?U{AnpE^vRno>)exS`@fyqDxC=S7wB~w|)D#ZVRuHudw!Fs|2P;~(9LWKKGTy6iTRbG7`m;x%5)?h^_Duf3|rV;*|5JjabAni05S z4^Q&)iZXtrh1ia{=DKw?hwkn%l=qEU^tsFOxin7tos!;fRqc!}%6)hooWE|YW;Fh? zJUNI!h+ox`TrTh79w}+YyA~x%zV{dRS*6oU7tGFWUvkB5mDS-RgJ`R~I6~fdH6=tt zSmd+kD+LOc+{O*k&s|gTZkeuK%o1%>r-R>_o}53)zZ@dxGv#i2k?y|e9l43=7L-=M zirM0TYqfRE%FzKq^ZY|O*~x@#58g99iTP-xek%}~e};dxf^~-87*U?YB)NM>&CI3` zdekh=Bc$}9FATd^mXNQFE@12!g4+(8EGlY{_kD8VEbg4AIEv)<2Yx55>m!PB4zY|K z#=7#`dpaC9#Jx9Hm@EfvYYf!X+|TJ_sjY1)Ivjpaci(eZ@btU+frewj6&K=8KyNS_ z(^P&WH*a80nGmEgyF*1aQiR2B({Q%x6c>p3EoJ-NC7!o5kID1Rq!!kfU_8HhbmFnX z`*h_2mNaqaRo#@p3s8q_kvYA5OQOrx|N@r?^5CmS*Y@py=khAzJT$IEHO z0~;?>sVPw4Sl7wp@kU%TI@U4#*89c9`UPQL*=eXRuMYL~Cj)yjo@b?F3XHNU{fVc9 zt(Z655C&t(zNIfdGti=NEpWW#Q{jA+Ym1$_(elZ3IFoY-VIK2Ia`Km5K8u4jr>fWK zucOK}?w}Ui9c837Rxg;eYIn)LzaD&h<(BCXdBsd-_+3^a$*5=a2o3bHzIrJ`Guvz;jONv{=#6W%!Jy+1sTRerM#MpmNs=& z-jrDk>#rHBE=9iOXKI?L?5Jci@>UD=nH3q;sEu0b-b!~=MY z1G4XM*qd%%d?s^Gx?|gba_xi7)!upE1XpVE3s1<~l@zN#0O z^~q1w2I)!^YwWr&9}b!0!zUDvgjd!TUN1eb*Jw!r4_MA6`50t;(k3r)yB$?zDS~Tv z!Z>eG+c_mZDp67heh${A2 zX^PDJX9-aSBtGwb%1!-VdHR{0>QymTiWht%t_;o8Q6;3wpi1nRblv?31IZZ5K)QBZwF)>&Sb_D8y@O2V@{g@;rURXKu1REQtU3 z%FY(Sdv{NQXzZE|<&?v7$;a`gT(7sf!1b zj=wg?(hm2f;biqyEZDpFIH>bB%$Ss$r*S0QyPz&vDZkF7wby-S%5{=}_d!91;$(2i zR>9=^h0Df8v2$@{hAOlhNe22l7avC~M_0Z2#BydnQ{_416{*lrJLW6r67n8jfxgsd zGkw=I=I!N_F*xEsMOIC<-yexX?_W*md8a>vLh13S&j{J%8{lojPdz;D+jp%$j|_G)i1bJP!SZCD*eMMu7xwvSutU*I5Tp(d2MH=V$+!q2hu0Vm=5 z3sc3w)kh<#QvJyVOA8aoPp>T?r4fh2;36W2U_~&pBy&Ccm=Wx7%4b7|`K83puv3!Y z;o;+By&A8Nf25}e(d&=B`@AyYt~xZ9{i*CXIZvi9R=|Hy{La5_7H`8y92= zihE)ZVJBjy=oMbff@iB@6{XLA4$@7hu0!+~Dt?jO+*sE-y*(l$q*vf^K=dmdqjZ@T z4PwOE?!(s!D{;zU+9qOs=N#$}dvR_6Ds+V^(*k4WV{Ecw#6|p35KfONaj3n1F!{vp ztxu!vuriDJ{nU~Z%iF3u+a@Z56ug%#Mx*QQ1}g-rM9HZXUSXjT^xTfK3;G0EePBJ9 zGp^6@ajo|WdPH3|^nz4T4Cz_w$+Gm;3xpTPU*1*Ew@MS1Eb*!rB_QEc(B`V14uTkX zoHJL+|)h@P$#ceIJ?}p&l!;4o{8KMB6Xshq~*toW<8& z-^f@#(jkk*l{UJ6jsI1N9_?_ltRysCP~JqPucii3@4 zHc_lyz`bGS?f&-4?DLr|^2-q)J$N?zx>h)>hZOs7Zu>IT3DI+sgoFh6_;`4S4&h*9eg61n3xzJ8$*u_4Wjz{`uqD) z0|SFYL&L)(Bbe5ync0P<7cbX0UcY&>`R4V;`pXwf^UtTo(ZfRn0|P@NW0Ny;i;K%k zm`e0OPY0}}sR`PO>>Zh2+SvK<85`@<-sbA;7^=Gi+1ZDlef1ufgo2KVm5rVKI4dI^ z6&W!e_WtI}B@CcZ4^Qua@Py35idw*+%98x-jP#7`{LMc$-XTXn zsg@E5-wR00uc)m9i1IR1QquA&ntR6=*516``;1FUbBsq&R6SYU`vDP~hbZ}ii=)^Ul2B4XqsvIPT zi0C-aNvhnk_fM|wTfrhaLd$&OoUERmcW87>WT3m%4F!?2+#JlbWCS=^IQXPg^o&f5 zbkr0Sl+<)b>8K9l?yt^H&n#{1VIMk#y}N>LE6+;Jt{&VWWjt|`^~g3X_K}HOYUk@i zpNGA~ukT7YMx^KGrUaRA)`rXX5K89NAsl{)~f*clem(z0l&`wL@fd z%3Uq~p?Sj0@6&X=siOX6BMy3{4 zwhyh0b=6g`Y3u5$%bZ~#*qj7$#28;kvm2K$p1E+{Cl~pAV{>h$r?DtAH7PzOI;C=W zkN615yMfY_^s4TunW5Io!kh$Ob8S=q#Aw~<(%aE7R#=BOm2IqV-LMMEY3j!#qd#_x zk(L&O!bF76^POO&r=g~%raX*~^$~}Zfk#~B#!W4Gp)==YGz{*VSUY?B`M6l!zOHdi zUFWvhJyX3a!lxLI5MsYun}8Rm=5$~k6IIsKR8hx(Y_T!wqLZU+4M+tV< z*4CE>YI8~l_YS?R4fZeShIz&oG43GEbanjMtO{fhvV2uQ4LdTOOsnS zw60x|la`j25;@1mcTPxeLPZ(1L= zSk5PeQ!tQV6EkyjpFDAji~ZP%D=NyWHy^nB`uqC_1_%0ixj%Dy>f+*P`{0q2qpkJB zryf3jzTO_LPWBHUKXra=W9RJQ?Hd^E?_zPs*hp7JQTg&Y>fPDN@nKYNXM5K?A=^b+ z1sP%Pqr~_`#JJex=L}qZeLWmZZ)j?%OVYt)ns9ul57UyY)P#bUG-ms9W2@H*i3yLe z@eA?`T$B(O7M0PzW$Nr778V>B7!n>H?C<9v5EvX57Ubg{5E>d19OUQY6A}?= z{J`Y)EdvuKUC|eY5p?WoZMC{8xVcZz zV7;RjyKU$E%<+M_iSeDA%BT0^wLAx@PM&+)3D&|uHg6A(tDJm-} zUDJJFZ2Htc4D3NjaA1IcKyX-8TuMf2bWmVKTwHWiWQd=Sua}dBzOLyrPe((2t7o18 zp&@==-tI={4}TzF5|WoYOZ{nmb!BDs)%N~pEF2;l*5gd{EGKw)&t2qarDhS3Q8#w- zaCde0ba#Gir7OlpL(jo`MnF_X^f=zD?L$N)7K0Yxi!dc_8x)L}0H4kssfYj{7`0T>W*yz}Bm#e4Q zctoUxSP4IU#{T@_BQ{259A#oY#>vHXiiel)oP?Ah7dsmZhuou}u;8$m=wL55muF74 zhS%h!WmT^0shl}-h=lPZ-#JlP6-_-uBV$urS1(`xsMyE=PdD#?0AIh*sFkk`{wnwnc$n3){ycVCK?;s_Nj4H-Tz0RcWC z2|3kKrsJp1oIN8TbU{c|N=j1pvW%#NyrQz9PhxsvLRxxUXmD_#zmMCa2ewYG&h`%s z#2BgBg=DYk8QrtAd|>b3;Idvwera|8@?=Y8O-*%mL9~aN3_A_^VG4Ri26}pWW{y**`GrKpBxJ$) zP*%R8rmd~6rLC@M<`Eq18<Kf0tOJ1H(XGb73`ET_Dz22xwsH^1_7ePwxher#}{yCyauzPzy_Eg>I@ znps_&AMWq(fYerH0C{t~a{kOYacS|3LP8?aN@_ZKHx2F@o8G&B@4mI=JquG)3nOj4 zM}FZ^fgXWbHBBv$isJIh^77LBjFj~J(sVz2YeN+cOEX#4MMCNu>KkBvL#UqihC0N={16QFW@~C@^UXjQE0bGp zz8eLRmi~G57zh$l)4Mbcudl6dfmW7Rm6w;7loS^h6%`Z|mPKb*N z3H0~!aK2-iP~FhhRhN=nJ1~HNBN452HSmG{?%v*>E_iE86Qr@Owz|Bmq_8kAGbbyt zs2ANoJu|m3j%cWF0Vk@vr+ajt7^@dD@oKmYQD0mf%&0MJsCV}jjEtGgDc4_Z~h{kQkZs?oCkwicllHuBxRMEDhX8I(j<0!Cz!MysfRRwWYZc z0>PlFt|~9Xpvp;4i3iTGua~o#k#pYCr{$5+iP^=;{=RN_2YLbxY)c<-%rS@nlbSJp zdwFSbVOC~!@9YLK0TKS*(r7>W`SbB!L>KxE0VO^0aO?0Jd^~J2I;M-yNZ^?v~(m(KWB6wgb`FHas>yHab2s zG&DFoI5-6EMm-qj1MWh>)IdtBt4fRVGE)Rie4zOdbK#0JYvf|A2)=i=#R5YY-=U%L@Z)|U_zS_se!`{InAg5(np@!m|`1A^74`OI^ zaBOmVYGQJ1Y;+Xx2|a=y92~^(2(xW%08uLh!~LSXtPF6>Vt{(d&CPG^&vl6GU!I>6xgu z1_!5RXSy1Yef{XE=^jXFW?{?3^YPi4$>%fE6XTPBMVM^^sL*I|N$v0J?FKyRL?GbJ z_4V~t<)uZ1c{zDGIR!0*Mc>4bzlw{q^SYi`)bQt zKai0fIYN$$jfb`S>Eq7E^7{J&Hcd%=DE*2Zo-{OpJBbRW-oSi!+mB zBk1Xw$*HLc%*11u0xsD@1E?=M01zSDTbo-zFaR94$|~^R!9knbx=^F&?%Wt?e>-Yy zdUABEzh?k+?+5siu$I=Q#->J$)@WP%jD?Gfzq-6UiAJOPVEL6jJtG}e3$G_P_g;F#YRDytcq83J349zX$s?gr-)+S1Ylg#zo)3LkwwyR^94 z)dj1lY^bd&%gm~%fR(yIu=cUvFN_S2qkxb+ZzvjB1m|gFW&qX!Z9z`~7^6V0rYFHo zegZuTScC>LG%`E_Bpd7+IL1Iu!Ab7!1OnCF)z#OB8URv1K0GopF*7;{E$w@b9`5c& zfy33)-P?ogK)_%?g~4HM7-iYq2JdL7Db4~;PfdAoaZPnal0kS6`qk^Pp6=lhAQ@A= zuz^Vs;usnoKurwvpeII0#s<1ZW+o;8+sDTz#z%qt45I;>!Qr7nfCvTH1Y`+t3YY|p zcIp8S1N{RdLnzeX@Z=y2-ZP9WscP%&>>BLt>Ia7a*^WSfA7p1wTXA+lMMHH>WpPGA zc13AkZgl{bKxw~ob=+OYf)><3CkXhU$HoA;!44ESpI}2q#z%*T&_k$k6bv;vJ_)1? zjfv8LPMD*HfiwgP;88!S7pxu}%w7zeknKnWD1clqIN!b9&~|uwd^Mz|vaSQurMIiA z6A3^eJCWTz(6aoJ3K$YzpBa~4R0_O^;$4ULaaj!jHWPL6?d1_Cf&@qliqeiUF0*of|)E}(o7U@KZ$nwx=9Xo9xD zI}u%7J?Ki0=*Ehar2MKncu!v+zyr{9baaBBuGR)96oEvvmt_~00#_+FE-5vq5s7R= zbanKghDI@4G7i)!unj$k78nBF)tFTebp8l9?^EMrfIAbTVB;{yYy^a+h6XUI5f~6) znYsW8VBCPlhCmt`>T2uj8ygxM8-O{5r-c_ns`7KotMe*4dVq*wdV(W>1TqA~2MKLz zLN=F{Rsoxq5f$ej-P#U?!H``&{e#1RKO=+S@Bn?+-wkg89!ybwYg-!-(cS^z&rYJj z0sEqdfT#hBhG7p7n@+GX9qq{W_V$)mXd}itRaKM~7Z(=f6_gfNXGRoOSJ&3ol~oWWaiSRg7P@0MUVjw*x?Rbs#2LR#KFclarm9 zlAjpgP+iwl)zVns+|&Z??m=_`Lj&|f3$z8WvJp~)iDQ;lL7|P!rRhn&u}wffLE-QY zz#&Yyt`A5A<`@G7)zsG2+0z5Uf?&^^i?egedWQRkN5O`I*dx$H2j_lppbtnhFa=%U zAF>mi<^!J#;~fEoot+h%k`UL_Py=slfdO-efcJC($->})!CFB9w!XTmw!XToq5%S8 zs%Zh7V z1FH|1iP4PR7<&nCYi$DlO?`EBNl{^bZf15&T;ziccr^qFX=itPC!(z}KeMzI)(Qh2 zb8`~}QeRtISW;eARhW^TmKfvb5ts*U1`d8Rv;~IQRzwF-x1C)W{}P;C1iTdtg~P#2 z?Z}?)rrOqCpl=37&}fVv8adEKg8(At&>v`O1iY=esR@{~va*80ob-(NCZADpTW=?iVWrBZrRFH?ekAFfL6bY?u1gM}O_6%!- zwZY--;0SbgfpZ849xyn2y?reZV3t928s5>3arFQyaJU8shERipz>;B%K@YH&h&C9s z890s=B}Ms}>A+tPi;WISaN!a4uWxODwYDHzic`a*OTqC2wyvTau&^L6Cm}H*Cc7Zi zD=@&@!!IZ#sSwstoKp*_$2j>7z|?^&N>g(y45;-MApNayWOrM0LrEzFUJH~dq@}GL zth2MLr>6sKZ9h!UI7#!OJ}`t+WbO7L-&A9Hfeh3gDubm6w%Q zQ~*N_EO2dY4Fm=Uivm}stm2HA%#xCd+WO{}W?(s6fnkKf+rU4-Pw)%4LajiRG&F+4 zURacso*oky798s7@8=p2?zCjDo|IKnm7fLN{-pBKk`fFU%*7-rJ~k>iB*;Gk;0_D* zaSku8sD;En%d9CV1nN2~J0~kUI~yF-+}y&V;*!#maxi;-OrXCX2+Mf7grsF>JdaabA8#dP-DmNMMk=mz$fbN4`!(ns;n^ zN>Z|)vtJqjlb4m1mIn4SIxZ?A)ZgF7E8N$?$Im|`G^4VxxGW+dCqFeaEhQ}>E-p4U zCN@4UAt50tIVC+kyC5|rB-qQvMAyRJ$>x@sZ$eUHMpjmCUIEzp{JeZHb1wLopIcB^ zR9cGRZb?Z|L4Fn>9UmPT0OA%NW*+W3(Q>CEef<3Vd;?tEqjK^xveHsg;z5s?u!yi= zZ%;2*XFq3MOLxyFF3F`}#cAo_zLEka2n!1dI*7sqhlGTMM?^*?B>S2@us7EcmDIay zbW>JX!zV5#E-5iNIVmYIF)1NF9tb1&9Um7LpOgZk2br0fSsCDZn2-<~6&d8~@AA~$ z%*Nazc+schsfoiQjhmhcKw{z(q9bF%BO^jW0|0N_o;o|(KfWuaU~73+I;t=|8B7@y z6&V^5I_?)uF6sk5t_t2;<@`1pl{x$5fNP*=Ek>H3}9*JK2FZ-+*OM@L12{^1~= zg$W@AVtzniD=_F_36W7zkrCnH;h{l6eqL@4*5>yu)GSRI1{iduEN%%Yd8a1ECWMCt z`v>?11o`>-c)GjW+dX{r(Ar#%fsuhsBR(}cIvfP)e0@CJT^t`--nTR}HMwhQZeeL{ z=lImcE5J$q>_s_M6EVVct}d=FF3+4@!CzO*Dm=f0 z7`!~6xj0zZ+`n#g_o~I|V=Mw^xKtz*?t6iCM}P^yxToL;1Ws-4nwXiH-LqDw*`>VX z5fkhWPMNzCh+0@0-8R(M*HgcyrmUi(s;RAe+sO3cGZSGRag94BdU8B0?8k5kl-%7M zot>UOb$sGr_t3`562w_7%+1U}ti{a4#Ms2l{Jxd7jg>73gFZC7XLemzTUq0hlnF)I zWimWk9#$oLClCzu^>lN6`0(LkhpY7R#8R$rjdb$`gQ$VdN(wL*%&?}Np&CIy=!t)@3!GxV?#Y1 z9UV<|bqx(oO$|*Abxjb&SG%gNsja7{cT-zaQ|;;%c?HQ!ih`n7r_f4kqwlC0q;B1@ zd1z&CbML;9!7b431_)s3h>D0v$X(R}0X!o^eO*0WP0bscs%pvr$0bYwF<7DV{AbSc zpT8&~E_3;+y1J6Aq_DWG_*qVJd>&10HLa^MN~+>~=VcWxU6Q$UNm^1uN>W@(N=jNv z;*zAew6vs*oQ$ljl%$04IUx}NUS7_#+=(^U2U?~`kMhZ>sH>}A*S@B%b_I|V6BQS} zAj-_da-8$@d63__co8HF&TyaPU}IzB;5oy`2Yz@@adDqI$;r-k{5TsY7dQ8*Q>VDO zxVX4^1uhEl@rg=HiU|vf%84H*p*YFU$9I+ow1O-F&uMNhZXVvVyxhEJ_|BZ=C z$-xdH@XTzij3=p0m=J}}v5E1hP74ZMydWre{tO>K-zn}B$B(fxGQL>Z*xARzBcY(7 zCL{R#c6)nm<<0i1EgYi5l$1v(Y3b0{ zirFi5hj2HS4*`;t6eNc!50f4t#Umube*5ahQdK#Kb=9?Xz?-Ww7qaB!q{s_TGKkTYSE;F^m|PSy&t7JOA{hPz1@94fITqK>zS?I6|FaY z5O_mcbcEMa|4_fsyn0A=ac)jpbP{}ZzN2eq{Sz@6HJ6l%j-jEx;e9*z;JB2W@`k3S z7DVq5hz*R54D^l6E<7JbKtN?P9Na8Afn(m@jqz~%x_VH3@TR)T;^MN>!U7QUNKcE7 zEsc}ADc+wP_t@Rv!`=Okh@c^JV-M)`M-%BpWg_s*Pmv7?o z_F83IU}h!S!ll>TcdTd*Un) z>*2{PfBB$V74$ZRun_H0ra1@2>DR=p0+Ql#81Np-0%X{@Pf-waToU2DXys{h z*fr($&*cR*>L3e*BDxFfSwiTx)S!LQcmUoR2U1D??370+@ZY?7{}SFXwvK$ZNLwls)qp7TyX)2XnemM1IlA>xoD-L>T)Sy! zVyZ9CO?7CkCqMX^ot4ooeH}@L-FGMLGGO4kgMPm9V!W-gq$I;jbUpFWO%dY8#IB>7 zzUg)C2pF_B-APnP`#RBlD+$ZxXMQdZedA;7rTM4}?_c$$kbICmvH2X1m|mSiHkPNy zBxa|2Dp1yr^NyeQE@~g%ppvwU$f;`XT_I#WbB6iQ{4zevxl2kK`oJTL2nz{tH<39> zf0X(7ab|iN8Ww(48^5T;WZ*Mo=jP?*q(wfv!u)x08r@zPtj{vjy2Y(y?c|@+zeh|) zio4blB6A3m03zT|ZG+%Mr!EMve#l@pSIVo>=IJL!ay8S99l`A=o8odV>_HEXeqvL& zdGoqe;yA^5RYMD_2X-zXm*eH)4@P!$5>F zE-oQCBRel2xTW3THUmN-;L?H~8SL*ywnFL~Vf{1fKv7Tkwbs=(w)Kt8ukT_L5EJ5T zFMt%w(8NoeBh2i_j}m`eo1d8iAsBEm?MF72W+j2y4|0kg546R&7-^_!7(fDwpO@n( z$@_)Dz6H|rcYWhBa&q&5k6Ts8Z&n8Tn;3z|U<2H%$;1YK3?85A=1mf_rUK zTlWBXS7l)vpN50)>?sDK?S-X1Qf6LZnJXGMZW-LvQU^z9JP0X*Z zEsl0HVIY7AU(dkk^z#{@%ZB>9+F`^L3~XGdc~A53fCQGfjDn(~qLPZ5x|*UmFAEhp zCDW;k^6L6#4?!B&$H&Xv<;mkmj~pDI0Ds5Y+}KcGM@?RYkDUn|EDAD0oZXkRW0=Hl z8>FfTTo}@U$C_JQ4ec79oLyLc`DXY1``r!jZo}&4?#{;CNIz;~W#`l9y;rlt-3UbY z@XX34Fr<=l%3Auy_pBb+*xEZdyLotddwIAzSl!i8mKG5b5|)rt*3>hyeC+Dw7YN*F zP%wEaka2c%cC@oJ(oqoNq$49Hr8vq0jsh(i{>L}VQ$roiRYiIE#nsKo{$UVm072@} znU%L#_{5~7#00oF;0>kyce{I7_=l;F9;GJ1S{?1}n|O^!$$AQ;^mO%Z-Zr^!``F3( z8E`Q{%FxpjWVdb24Ry6NG_>^$O)YI7KLzPnZ(nf70mUDrzr8%%T%J1GSsCBBBFe)| z18Z1e8}M|!yu1JucQ@B(PLCg2-vbV(iP`-J z_D?{n4b$fROS_BHV>|16CWd-iDzYMHPcYL`9HFFRJ$d$`IPl(t1x~TjkmByYT9^Xi zy&>@G)YSaT?N7KwWE7MXWJHJdU$4G+wU2j%nM>fJsIb6E1|aD}eZxyw6dV^6Zx~zI zIXrf7baZrZ0KcCAWX}ML+}zy1F9&Y=F9rDNPaW+a+%wYGydr&(kCTZS=|Ajt`i(=zz<|$VLb-mgBAghi`mSh$qI3QF4P8C`TLy-AKPyk`ASRz0^+97g91Jr0QfS&pMd!(4}RM4J=*W!ed+(L0z+8h7c>WmnhutP zsh0R|?t^D>G4Ws6^;5E6nep|{S2{ls{SFTJc+mLUjuKzl^9|3J=HC;=)PGld5LWn2 z`OT2u()~8_TlMef|5hW}_!Uyq_w=Nsz9;s>@E@W4?)gv1eQN@Pe$q|y3n20D@cfR# zw~F83{CT&7mS5=oNw@DHed`YJG&lbxFn==fPnr(s{iN-e>aUo-;RkRqWB%2!e=+MH zHh&@YhfUuqf46HAP5*KUe?H?Mwtl}8f7szy_F(n~Jbe%BPe=T%#-Gpr<3=3x{6gc~ zpua`(4+s51?N>a1*zKp4|HNKlh=F;(E&Hd$|JU$84*Y+{0cq(=;OBqkk2vsK#z+B; z3Y>^P>i7@Ufo~K1X6EmoK??@ZuUhpV!tmX+fc)?998_Q$4w??o{2y`X7n(l+{DR~U z8vkMb{74bQkb^qR2f(6#nEa2^eAhf3)Gt{`{jP{`1L!ME~cL{BMT;ao~R(_#X%U$ASNG;6LWTKXq^a+ra+o z05$&~x#NG8W6=LDJW~H{c$)tzBmZyu{iXZv|KXNO{3Epf_NkS^yr1}wK>B;zD|L{> z`FmskiBVFR6v59X{!Q@W;NdqlKO6R&`k&AKhr=;=4x+L@mS4&L#ZNy@@Z}i{{=?~i z?fw1qm!u@1zs)cGMdJUW+czx#qTlbEp?`+w$9&q4&%dAUKdq7c6FeY83BF&^1il~w zvZ_rGklGakk6)6mAZ;lD%69<&QzT!c|*6?NY!FR@fD2+el??I0GXBmA=3jWLJZ}a{_|0|Hc{O5aMzkJ3F{<^&1 zE*9(oMh?Zq#lIl%-rg{kMZK-(CY>@%vH^9)5lN z3)3F}`3wF2xXV|12lRjW{ICB0@l5}I?Z2Y)@3jB>)PEfD?@;?oeSakI-Se;Gzf^vE z{^9X2(fP}r{ut1o(LNaQm*@Xm9e)J%Cvg5z=KMhSE3Ch@r2h^2{|5*D9{~E8lz3ju zo8xvQjG{!-u`{u4Pi)&0+xEn^J+W<1Y}?c6*fzd69p3X8cfY~@SG88v`uhJb0`C>q zJrxD_ITbS@5i61JLEX*9+||{{(8}D0kN1R=oRjyE=Wm{#hMJg>z`^}MON!1x#WzDv zL`P3TLSQB0WGCl(C8p-&z2kkM<9g@%BqQgWq+()aVc~hlf<=PI9m81zMn(Y!;0~a0 zSJ+7@X&IQfjv3fV*tj34DLJTUSXt?rs7Q&4>B!kxxNnJ>S$VH0S$IDg`G$xs{Bc;^ zoLxL@e91Ui$*_0P;htW0p>7p5V(^_@Q^suz&K;5C;(Ip7)T^?3OagH zYEDu@5*BI%Flbm{>yN4Fq=< z9BbOi(};R}wi-%_!uNGS5fb0^538wBaB=cyr!@#Q9tI4}pcROC!TD(;cKn>(}Y%6nXo`bj|V&h)H z0OmLZ(q;)HQl$*#J|v$Q^d>A3qVR71Dg17F`yQkAN}lakWZJFl`>-?6^6k?52y%M# z8MI|bm}IC}C@1@UGGw9?fsV)&&TQC2x@V<_{xAfB#ZUE* zHRp%*kt1Rt_w2H684@%+B8e0;hc1w4$>Q#oMO2PTZp?};HEcNpNe3r~q2tE5s+zxS zV)OeER_6~PRi0|q6#d=o<>?V3twGM0lMaTH%|Oh_25pXuxjuPubJtB|L|s(hFVPna zUaEfnMlU5PC@AJW3@GKJrXngEyNo#cR#l@v(eFbdW!DZ!5cnLZ&!hZ3jMa;99dsA zsL>LsS3ny8sk{lDomI6jcX!#0s1Ru=95#u2t!wJ*rG-|O#08-b5r2>+X-TAohEm~? z{5nL|im(A~4VU3x5l||)-nD4B0&PB~&&e~>huPYH%I>6qKLRtgJ{CThy(;Qki)4r%0;Yp`h#k%Hqn!fg*40tg ztJkS=n~W&F3dP-%Ii&5v(3bt8;kBj8^2&^tuTYWIUEB|AzonykO2Rz|&i25~*N8k> zV|6iWXaFCGGH`&h*W#NWv{pzQraG++;d4&YTq@0Z%k1Nd9YJSYaZE|F!827isTV!r zUZxVmC+&$O)~^Rw1V4bgXtmDv31g(~-bb4k9uZf{+g|sD3TREobPDZz2|Rj$Pb7H> z?OaxnPYuOr=iZb;x>R6-n^DqD#&bwWftO(D*2)$i;=^4YF3mHuylN&g`EoJkzi&(z zcE@#`q*~0(wtHH|L8|U}xGjCHSY4ji*SOh3>v)x32n|u4)Uy%6q6&hB-+>p>R6;7hUB zKY|YV8Qjwmx^=@!im%j16b2_P6T9F`93eVUMtBNK=3qk&x%-LUy-$RD|J7n!3K#;e2x zWe6uq3=4|vh#)C$x!7AX6VN*OA(-$jxqN@in?f2oPEUaj<=*lY?q|*4C$9$?x87@J zx+=73l2oCB`Lrw%9azgq2t~Wiw(lBJ@ZWG<+~s+ZupR{I#(Od_*kyV@AZJ2_2$DVh zg}_n*ye}qpN3p1!I>5lX}s9c=Lm{((|*zRcc7is%f{>?yj<%+<;q(#uY%IDn?AejQvM)r zBiiWxK6Yptd!qGm3GVH+#Z~tcwthw2!nc$;28+x|Ndlxh$9>5>=2kn0xA%j!rdL6( zV5llZf@y+@qkH*kKvCy+2#R^IRj|>J@I7~|V%Gj3Zai(k#%m(3TI4O27fCwgk=kw8 zyCCoJS!n4JV3rD19OAS4IL|ND2rX`id{ch);Z_Ty@hj&T_Q=8l8q;uUDa_Hr(8V9x zri}5U(5r5-AnudFm$%swC&hlY7HK7J9&2i%=ZSkDH0mTDVqQgZ&5V9=ISL%>{37t! zor{0qWnfDGfO~kv8KKEE)a_OMo+M7Dja)}9oCqXr6P(ka?;FfMZTHwj4QRPN*MFd| zRr`SEc&(bS%o4Q?z!m(uPxSXADs4mTQK0bZb@5z^wIcIq-iAzbW$A%^mZ;NSmoW2B z@x%%$-#)ZK$hL-J(J^j@Z?zE$CV<9zYj++rCnz+8ZnNc_2r+S3YoAPuxm7MrooyA6 zRJDxp&_2OQl~pv=4620YaGXpXKGb#Xa4AdGeMs^mR(^hjw4iRs*{I9wuu)8AQ-=vA zz?t#2GTjrcWwme<>R4y~(3(F#uFD--4U1oP0)d`~I<3X_@uG!+)0b87h)mFS)cUi6 zdl^^J>jZ4e{MWpfp>9l-2diN2{nX05bvq(FpP(%j<*NIbO}SkkgeSs?3idSZPk7X( zQq`xhG$jN^i-E9c^d)!2bvZbx>nfpC=mJYq3^?T=_+G*<*tF$3UOh$i{J6H(N1mh% z8^adbqzP6C#UnR(-$P`AftV4HKE}O%Pe!xQ^CyBzK}1DFjjk7#`W}#zuI+wU$D{I| zI6YbT3a;~_aXjp6dYPX;bwsI(@v8?GyxUqg%+SGIob#IKoQY^$?l`8ZB zpSW4z#NrS)IW($w#do*9KBnt{1340d`*Shm3lS#!goa5}vm7-=id%T}nhhfIq@ONs z$@{(tlh13VFiG^Y5&-aqRn>*wjq6|x;u6y`@?@Y#NxfsY6!GJR2hgdLUK66tDrVJ` znNADJ+!9=?R}rxikI?(N3C53o$lgUeT~CJ7mo){>7lE;mf@6qA&CJ?(faz z+A=~o#lSRk(fBGZ#uAtD*Y_;;Dw;6Hh^wL5zF=QHhb^NzIEMviwf8+?46iZD*VNJh z1HfvU2`7x;E=%HYOWFkmaBW&)QYj-$jZg1{54Bom1(4-uc~KDkK-gbghWgqOH{t3O zi88tTeYtf{xpJR;4T&uJbNh(ks&;kWXnxQ)uBC9@VHgf~3i^DL7Ze6X=qGxfY2 zDqe1SPJm^o+`Ls;KsUEvJ1yUi4qfyvjw`9vPl%E~>#-}rLniR})wse37IPch_DT@l z8)4TV!m5<-?5(kQm7)`Y`dD5ZNxh2Cjcl#G&0=D2p;MqSt4gj?f7o?s$CqEOg2(%! zZk$xngCM__4#^K|CFKb4-1QfVd%U3OlOsH4$wEJ>*d($U|9BHN5SKX|u$yx~Ax{oHx7`ZE-rdJzWxn-1h zc{LKwvZiZ;u0vb^tXEFUD)^AKuwEa9!Ok>|W{+5FpCg5V@Qt(SNr`Xo`mFN2Hp^&Y z&+{f7QQ`NEx;t6ed`_d=xq9zUggP-Z`IfJ~eeNHyTaMw*CDw)0UCo%1876C$b|Gb90q+oQ}Hmqadb4iW6nmY z#Na4`&1#n*yW8g)bQ!!zC(hj&G*OqR1KPgzn}^qIB=L!UpkMis+zFN5&`|mfNoS_E z8&O;r^Fx(ZqXLzYslE|m9e;7W#KKOSe*$c?^sa``OY$AwsC@kSA-stz2actA$!QeE zk>ojp2{v(0h;VdAm}hd$Bjvg8sAj8-zA3gp+aUQ;ZPH5 ztg3NXc~fym^o@)lQ!nhdKL{(tCOsc0kCg3QwCOJ3U$Ag_A%S=K z#b2-~$jrfJC^>%13{Mk_{v9jH(dm93qol+V1YLncADYBnj%t^C=U zj%n)((8sN_nlFMA5)^bqnU~OLV0_o?q(ZS@oKAu=Z*L&+vWj$u$qTT`M8!fTXRjAa zs_0-OIljGm@zkSqKE@k?e9WZzVqDqA2xI_)hOWz*&9nCRV(-s9KMx&xMXNVNW!!}? zY9s8Lfjte_dK80VIBxjpydiGWuE1Ly@%O^wVO>Il%lr!(tWDXCz1sbBW0Qphu?M5{ zL)1pWiW)3%Y|?-OLgCFp1M~4LNabeb&hXQjIDe2uG0)!+v(`KP9GXR8mA(+nsCkiQ zVb~1tX*2V;&bvZ&cU%@h&s&-5+G~=;-jHxbjXKZlFf#QRSz|LAkcM4~=-Kx_L*1%| zME=?f(2NA$PsCj&Kg-YqIpD;q?6)1m?5v(Y%5k) zkz2lZS=`YZQ;DBsr#V^VI=&e5DqJso9-vYcN?3Qh5(FXm*?c^*)aL3L4ni8vT&+TH z3tfvJFq@P$3#V2ZmI_GN9vmX+w8Ouc&C58* zkADGkP3&YFUl8xSi?G0IHd%fc=4^%`%cC&9M_pUA@P6P!&9&_)^U6BHOIw>XGvj>K ztW0O|P|V*xR)Sna8?k{uM(uLT4^=ggaUfh%x;FfwKwe)039S|?pRr2Ja@mvsZHrC- z*#yfdKHK^Vq2?iF#GK+$3J(N?(+eDg!G%NE>P=iT z1x+$LVHt4uZLlq;_-^o&da2Fs3s^Os^#J3z&dnsPM=PnXSS51|o1wfCK{D}gWohF2rdGSWAv@a4{3A7Dh&#Ev z(oSq@FK=J;`Z71_^PWO$D|Y8L&7tASQnk0m^Vm&LQc7<{o^lE&b@b7`Aj11;x8HUm zmPk;->extu4cgA_eg>Tg5yPs5f?Dx;sko3`!vc=AL!t?+Ral|nmyE*=J2}R4Iqs1iU9(4qYey1$$mCUe7xG$R_Uq2Fu)t zJ@N!;SZ538f%5ylDp{6SEU{8{VGf!-`GCL9)T9_}xEMe^EfCe7P>y&cAU|iPdP93p zpihePhCkD7E3E^zt8u2}Mb%?iQL*8&Elcw%v1-SB^|bfJ1=S5g?fxLi!gUl#nHTyR)WuDW@C*Zm z@;Al`(!f)B4!aDdJQu>j-c4F!wy392kVLIddh4qN_$cip6vAu{ppX>es7BqwIYRnS zRO4od148I)Th8}2K57&OO9PDG1UfxYAQo}hl@SCgWxJp8THHVdyrLe)Pq*v!>N=5E20Q)<&49kh&H-+pDf;Ji%OmF*T?j`pVJMFdutlm zSC`#mRsj6}WI?W^_`cB5THPcDcU3}k=gpY;l`v>WLzCcf|89u{nWTw0D3h+XYSzMAchG2U61TA3`L3B z)j();jl0PSh=NTwnAeX3Lgn%8NV0|iT!)0otS|GYYnsP!hhh8!w|m4|p{XF(xTAOO z;S@_qWc~8AEHF6y4Sl7ClY#_b0)f(btJ=Zq$1n`K3Dt~~A`xpr^xyclQKGCx6L#u= zRy-3|Mp4_{G@8r9-YAA)Hw?oi;&)L?5YFzS?{aiAiioe#4sH(w8Uc0~AS38M@%9fl z>d4AeuI<}C>gN&)R{Pv08~q^X#=Lx|xh2`f(5Sd?;91MXE0t&IiU+ic-_@Sb0(ei5 zf>c^l8O?%|8_Y%s@C zvjmLKoF!hd&6P7d$Jl;^AmzrMHwYG zF^R01Iy4S>pL%Ii-gRb=4NH>&`@y9AOlTS@gC{WEx51s|wAD0$OB%Wz6!?^Bj5!Ne z&I&czkPYFDh|?WP(~c!A_=i%V(tTwLNCpcJSuLSryXIo7^Dug?Z%(2r5r%UreCPf}kd z#|_c!F&oZCrF>%FTBWzH1a5ziM&ATueYTFHg~Hf2w0(hWhQ83wSTCfjR-&t+z930R zr-dFd`P>@riA!l<5ky7H)@!X;S{oT2+TA34y=*f-FK)f=KIFEG^YUA(sT3nZ;m&zW z;bLE-Y8uR6PtjEdA1|tu@}V?H%I%@0%&R5A*w!+T(HkyJCe4sk=HlsZ!v$-<|C#QUusHRnryIniV=!AAo0;#AOAMPOm5qpBDZ&6^C zwCBn`NugPiZ4P^-6G}g}QZ% zmwz#_JtpXWU~-Z|GU3#gTC_A3vbTE`%$SY$F72n&%YME>?(mJ8i}~dd@^q~ljWKgP zLmTX?NEeYUnsdPk+DVny_F=Oz(h%JzENb9TmYR7XDM?`|mZe1@KFJnLI!u>4vGkmt z#e$8QmRVa^g*4F<$q-zQ0E#bpkP=fo2W4m5r-HDx-?!0D(aV+~lbk5RG7s*iH?(s| zoYMQII()3>`bDFv6WxuRu<9uqcryhD`Nd;diEvhl9G6mD;4_< z(1!rRWYGQBSxyaK7nehhZk-*08Pzrpd~VpLWIN4-cFCa&%cWZ;^;AQ4Lggd_r&lN( z>-o!704V_DM$OYog2z~-T0buXBnG{Yg2JIsrqnWjJS@(|_W218CE4uyVwKV>>Rbw3GzuO=4j>lyG#ZUZUsr)j{2FsBIM2HZ+_IiRPSIOm~^;9p_Uf+gmg|R?dLfNDxi}e^$t}LP4@s@#&X%y=Zk|wE396?TBZoz5Tjwx z-A(VB%EFd>4SOo12g*TJI9#{#pN5E928=;I!dl$c{zz5oP`ei75_My)IYXR6WCU2*kzywT@) z_Heq^=d|(L6I!`dx)Qw<@5f72G$tkVk-v%Q^@=std}@5# zlOb&5_cailD~ek;c0%@y%j%k5!eMTqgF#0g?{pwXPSg@iRn_K(=avgATDE8Fdwp$- z%1YXri|3tuNo>&E51+=;HF#D)-4D@U?|z#;H+G`8cxub(h;Ph4dxv}-VWB)t;cRa2{0Cz&gx*=lT) zNzf8j8#Aa~o{mA#_bfvmV-Z(-9QK5^D`pf{=)8xlkY;!X+m99;r<9Z^7`)tIAD=PUDNFbS*sdb~vrc1F+ zOn(AUV5n93Hp!?l4}TkcXUTwt$YT-FB zM0h}^tc?sPpnRGx9v1E@xRc$P;0zBqQ`2iN*Q)K5!tOH`Vb4Pa zxbOy*(uX17Pn>#aBn@+fv$a#8Er(Z<5cjj8d}4KePzaTUpdWmXfr*Oy{NSz634{ic zmgX=a7M3a)-I?MGbDF1~^?93V&Y|pV%nr59kn@;*^=J12q;CYcDQJym`4=oALq#rA>w)=e zv++NPFy3__BKC!jxi;Jd^6nOqegb2_BS1T01-6FST)ZUr&}pHT+7EP3Qa(94BsBVD+9w|HOFZTn6U9DW%Y~2YONPAht^C^Ms&l50)F6{t6gz_g z*b*t)6r0BmEM5}rhR|hy{UC1)Y2eua*~Uy?GQs@Cp=hh_zP+sVcj@~D=|}rthOG$m%$_mE54}6Z>FhFb1qlkeF=c8h(Zsl*$D35Kd8NgV`kk_-yH!mp znt{t0rvjmINa)Zr4T;A=Z+h%zw0c3Dvj)RCcINAgW!U(_Ra=a*4QIy)!+LW7z19l% zHo$%2I%%xz!S}@yE?@8v3K)yQWwXzJ+oG=f^J2UsH#hC+0?HO)XER%CeG(JiiKG{r zCQG$0j|xxq00EEQs5d9G4lv~mPMRferq;&zs0*Kdo^_glWO>^bUDq9~i^Q%on0lF2 z=DH5^nBqD7{?=_kgIMk_CRYphx_XqpVZj^-QpN;IYO2B(G!_gp_{76NaP7!3-nvfp zQoRe#=Z0lMDsC$`=p<$j>QLk|_Q)en-gIAlNGXZd8#Yb41sK4j(TjC0@T9tL-CJU# z!kk_NS@Y|on4DCcDUrlvb`=)__1ge0LP}xg`M3^W?78AiqEvT^tty$_ml@~p!3b+Q z&h#H}y7gkNZ>RANI}GY~sHO6oxZ?E~stR~B*ogv;Scux!HSt9(%j4QK0PIW3F}g;! zTyG9OOIO>oM820$V--1lgS_>lWt_IXj;^a%CXr*$T@ke;ft6@!MQ%%yXsM%2oAZ~* zr8w7x7e}kdjqHQ?I)J7lX9cY9!)WDAb?`Ol})$YJd@XQ!A1Ki_gI$FMb1&R1Z zfEhCcW4oG{976w)YogZS6_@R(zC)mMyAQ|5l2a!xS}-+l=^oZ?&w1&s2}`}!gO?&C zCp99Bjd8{)k)VOci(Hi7HEy@Yfmqr{nliv{SR`ZjNsC_gT7baHJ)p%6HV1|!~5KY;>R-u84vcz zZtdyReKL%V!JkPDLDtrU$LLtbg)C|>G?L0LRbY;Q#Vf*m54I=m?02z%LGT}oT(`4x zI`o%Ri3G&lqNBOy$jsHu;a8$(iH6Kv2WumTn`ha*e` z1HXCty!YawNu{^5xKmfSHdeH8O>=TEJzjB)uh^uksU$>y4x_EJg)zOX|9~^^GWJAI zVr3fZ{~3S&pAn>Mc|rgVYeYrB7#thLPVZ}v08O8*&HX8EE@azBcX0n2kd}XCFp5io zS9UIS>@kDXN~Qis>1zqfVnaarw_G#&dryAe!V0~wyp+pbQIUcx{@~wXpAO-ZT{!rE z!u5iEvXi)#=C zF5Tbs{J{W0&|MZU#+X{z!Kr=U_-UicziWcgAM=-F!_UkRDFcslUQyIDv9`c+_}F5aE$w|GqdebOTx z5PEmLLv$HGO3xzrFF2HpiLnq}*g(S-=zWe!T7Q9H=q14K+-f2<0tGXt1T!?8eX{Y1 zUD=E*+urzWk1Q1Qc2HSzS{q~=M<)vLq!^^oE(85@c#5=~G9AQbgk+w#uIy3jv;G>p zEQn!f;pBj7=-OVfa_vxxjW=^KtGpP2Z| zarw*6PZ_@N6WNk(-_=FfUPw#$%2{`29lT=`Z7vQjMEVc|rW|n2i1_RNX1zj7ia~ey zFIvxEB6pm9BPgV{q)vTwpDgNH*hD|yr=lZ^dP*HcN{i7QSEG0Zn{Ck=lRx_tMgK=r z+`-TNUjjoql2-H57D7_lfW|-;^s54VNIzPmpWE%Ia)?p^DQx;X*b%9ErzCysKF(^B`TqO8bPOlpyd1orLyyM;m10M5LhY_?lKAZYv=&#A&6Rz**c02 ze1Mba7Qru$q2GngjZLT@IgB|jh_A}JU)tJMO9d_eZ1#0iN~!n8^&r?}s{%`4q4a^P z4sz0*L2(+Cv*sd4FA(NliNysKhLE7$)Cp(5FEDcnAzp)v$f-SPY*4OR5n%R)O1pOA zP!=}vBC4M!Ltwf!o9mk%bm=P|nPQ4H&#PKGBnkW{wt+Wj`poU^s{&0yfxP(^J!*q^L{i2+5v_ygjFqJ59)ft@}jcXoV}a~|18S*_3l z6S1~{h$U@N)nVx>4qXLGDB0>BszQnG&&8Zkj@*3LMcY7%DB>)-zvDSM%@}Dx2yx2{ zK4nv~I~D1}j0e7badi3(_j?=Hm{M>*AyW>aK(m=dU)Mu_D#mTE4+6t&okyW}%LW-A zZ!a!mW|=@CMN;%dt#-Jb3z%0CGeT@s#3m-a^x-97hoWBi_KtE$#(L71svkn>!;2!Q z>~J6Z>D;8bj566J63Id!b*1QO!6|ASPN13<^!M)!`CD;YK$pnz&F!%e2K4+!$McXW zwMt$Pf}ub?N!ctp4C*5=urwC(Y5R&ml-|A4??gymOB7nRe;;gxw~kqop=~K1{&e+G zIbGHpNTJ}|rm#`iL=@UYABvXyhh3P#aBYrBb)@1$<_FKk-0XrrIFm(GdlqQ`zwaFy;!aF$!9YE-MHVMG{1@WB6BVqv1+78 zHL3`>8Q#E|MO)?zGvx18v{Y<%t)AY=Rcc#yJIgXz#=K{=MP6%#Lys<~*mwMm)UCR> z6W0A!m-XF){1v!RAs8D90qk=1*s)GQEK)Y+@WT{2b0C+WX3FwWwme+IvqiJ{b|Y45 z{v$U2i;@4UTt-J+_&2Vsd{?tzmn7G~tv1xN+VbCb0tzNAnwLfeP*0%JNL-9_gE`<7p#|1()OczY-mu=?}daNn)`rEr@P|c>tFgNTE^Sp|^=6+g?DeVIj%+!u^=*37S&wD03mCe`EoUi}+5EDXQyNptn$2 z-_MXoB5q9(!;HHbM^S{*Wx0vux_1TM0%3gYRbP}-{;*EO=SJ@Gq=m|L&DkG2pVo}< zM#z3DzjOKWp32b_J=j_ zwhs%A#nrZ5f%&XmOEST+X=4F1C^|tJA8Q>%J4M5Qvw_LLz8!K`v>|52E*|A>KXYZW zTx(9!H)auBa?;z$-;;;cI*rS#M;}=Kiyd~AWr@So(SG*mZ_!0b5P+}2F6#I1bL4;2 z-#f;`!v^@a`7@n{#0l`Htx@Q9{H+L@9sSs;E_7RE?vRA>c|N3Jf6<_Gb@}hip~$2Y zU?b+ibu|@Z;D?7Ke>rti^jDdT!}YeS98%uAh~|5`pppc~+=Q(eYTFN)q!+K?I@y=* zH8E?77r3?*ise!ZOzB46KaVKap1oNpc;7#~AXiKAX;2%rj($mX-_ucD)XjNC7f=b4 zK0^KM7`UjjfXVpu(*1o%9zVdL4+B{hV<|94y5^tvt+(<|%Q0jsO+FmqgsLA{ zs^^P=ug|M!4i-J~jV|`ao?`<1ajKAS#%mWC@y&rN3^X4{KkXl74hHf;``x;u7mw^Q z-&zxjRaadpAJFIMm8nkR%N;gi?M<`LWy!8mx^%%zs&z|o$1j%Z{56P#zJg0uQ~iy6 z0$`@FlibP-lO_?CPxcAf)ROH@_h4VO>(SOavRY3HLlK^ASNd7AHd`PWwK!U*{}rQb z_saB_FtAgGY2yh5%fMB0K*O!11{t}>Jd{7TK*G&C`k|tWAV0L>}h!jN9eb+d9 z&?H#!ATHIP6q_kH$0YUR{iM8VX9820R!d>Tt z=f4$)=maQ6KWrU~i%E9+d7uy>nv2Nqz}?mq7pko+fA_;~eKusX%{VnCV1P)W77B^H zdDymuP90)QGjD9M6KQ|1i~fwN9tn5j8z)O0kiG!4^j%L4gEOzqyxHV{_(b7co@#81 z9*w^~j{ARK51S+a{;Ma+(3(!owAX(Btrtbee1BG)Oh3UFeYdyi7_A>IK_EO-g}M1y zTx$TEO)m_W0g@0vX+yBJOl8W;_E^Hk+18=PA=iRLM*4|+Iks5 ztm>?r?@%q~dl*G!*0lB(HIPVQBzHzCW8kRB?m=_Y@wvbx9BiuH64vz z68^TOZ+Sjvr!4;a+lw_{bjXH#s_eMNGtz|+iHAC?sd|c!Dp&LB1PyAC{o9p&Gw>&+ z6jNyMmoGy=Qwpq#-uY@dT}2#?#+JhWjtan0P_P{ zKCJCU7o67j*cm4g*bEtNb$IFdN2K0n!R@1LC-Q7TxK67u`^ekzTv?0*^vLf(xF>Yl zS~RK63FfU51Y~zno~ce`cs~ zf6|mhWc{m@CFrV%_=G{0HW$vP)aMsNc*75pDB@gT=~xMVkwFd_PXGcF&IIbUsaN+9K|Sbb+dJQPPI z(ZMaSJ=VP$P#p5~9KR9&z0%kpiiZUk{`IV<+QoT=vw*lJr z{=Ald3ClZ0pHT1)1D!ymk`S>MvPzg0ts|H}y&tNYb6D5!$m+`J%{|6xcTl6kZFe^o z?=*UVDlzTm@!043tzxcp|6hg&9fO{)!+p*)myM~{Xh!?r+{O9`Sql75ao+AVFAXFh z_&-(ZubYm|ctaaPOrxJ|;1x)DXwI|UF z-!PsPse0GvuTy1Myg+vvE|LK@tuYui6UU!Gu|fI3qy77nqZG77vXIX&3uzPcL(2#A zSFNiB0laBOkpXJgj3|evmP2;X7RHc`pZ4Dxl0HZoU((JAdi~`Oxc7Ph0?FPd2+yIZQo`c4ttFH(Y(ozbRlUud z`l7of+4l}-~bR@Bm z`8vy*Dbl9SZ>Wm1=Vy~D=e4h50Z5Cq^-;?fD+#06xX&5%{2}SGf$6J$yXePsuP&Qt zf2Qp`FmCjg#)EEI>eNrgnF-_C;vNrnl%b#MP!*f9{kK#!r6Cyu)bfk7u0xFz-QXy8 z;Q=c4c3j^7M5RRtkPQk&c?fDSVT010-ni69Lgs84Z+~ew$>E+d;RaeIXQbLahc zc>!%qD{!vyS7rkKH=lXvbz>y6Xx_Tv)VAM$g#z&cC&Q$+oCP<Vcs5h4ZeO zS82lJx6YB`;2vsD;9loJ*{N!lKZN9IItLX`R_^| zott>qjWM4N-q!^|Z={!CV$5KWZ_SZY_DAtBhUzs)N0<#K8kBMX*HJ25$o-mjo5;R= zapIUM4hwPCwM+~$XWUVL@Q~}y7W(>3jDcNz!D43onf|ZCecv5w<=HTtpYQKix@qWO zqpK*g_ zE(RiA8M?Sq+D>k_hnMKrZM~Jnh?MMKbePsHMv()Kdn+h;OM*YBvE)c^E?YfPVq~OF z738y>w9__lg;hT($7At606c(8%6x9nSaB0YPbXc*_jUwxkOETUn6_Ypk8WWBN>$@1 z3ySf@IsEbbd0WDDrAfJbQWdKElyzN>fA61XG2NCL|B+YgD{OoMiARCJge0BeZGfM` zysBy80v-H5qxee%XlAnp_t)Cx(dPD1`QK+VhKGOC41L;dx?g_zmT;pUBS(U0c{Xj} zR_yNIG&s>2(3C9AzaTu2QnZ&#Pa1k6n((Lry(4T29vlSDSLt_Fv$q=3Wnd5Y6Ep;~7%h=G>7qr;YlwIY5bT-g5s za=&oUSV!k*rkBSKgyl!+#mq6NQBzQTBmKW8!VE8G&G(Dvh?z1?1Rfvt)gE`7(pWV9 z1_jJ0WhrJy&hxrUxokjm@ayr?I5ni-5#SdfP3Jj^kQ1nLR8R0+7s#NnV%qapnLiOA zDrS(|XNA8mNm8*IS8JD6hpj2_+|l_VL)(uNg9Ub<)BIIr%u}kuAr@KSx46qT$#PER zI^|sJUCLL}kejOGA+W42=%fpNt2FjJuh#P9w-JzDr|cqQb=*a)VMuy`%;z(b^Li+# z1;3Ftl?pP<=Kqz5PdBl4eva#T{;D&Ay-P87Ik%9?l#4dJ%ULIhGt%-FAVbRxsVf)n z_G9RO+K2pJVS8QJ5jM2W(aL6f7^P~q0qL#G3~JhVXWnwMu`cz2 z89YIq%;w^>+p$-N# z!7o~xpXM%RKgJ^{|63G6iA11zgU_q(ov3>v@LlM!r9_$!F+=gDW~I~syfe{-M@G3rq}kYqQb+YZXOOP27iYhG7U`;}(nd>+s; zoAvrb=~GumxBdy~vGZ(@kzi2HGgyg^xJ!-M&edaft?V=DDo>y)$2TB#*Oh>k$3OCS8j@v|x>pZ978Ic__DI0-u*s5msF85`&f*r=DeT&yx&#KRy2;tkj z*gCLKl27=;mqSw)PuXcg({y*v#2P8%y(H2@-ZZ(@SsYo~#eJRn1SmUNCBrkWN<3rB zA%g7+{YL4J2V)|y{U7bl+nOb)K93Drgdn}SrcQjp#TApM_UW<&p12o^aMdo-PD*}4 z403(D71`eP&`_AF<$ZKGvc=lqI~3NIySX@O^zK!ZXht~R9mVLiO)iJh*`5kJ#ckIg zcf&8;jVv=meo-Pw_l~4`Tb4Pto;Ep&rD;N9ADf7Y#UKv@a;`484HCHL<(#-4fL`;? zQSzO6jIde0WS28SPs$#1vh60zmF%6i8|zUQ8e$Do=S|)B zjc2*pc-&wRM-1VON0`0>@ph5y8K2iJI(1Z1wAndkI4(AEOP)KA z`Z4k`@>3!y`?IzuJ*9XCPZ|!IZqyaZQi2DYjTIQ0TZoRZSYK`|WGAH(757Z4jua^k z;}`G~``D^{92n?xY&#)pfzo7?bJkI-&$5^JKPl=uY7C5t#>L%mCP&hFKhqP%=+pAR zR>hgI*WnFYv#sfeO1Wv%OZXNf4EsX0EVmRiu^F;5FQiqy)7pA!jZ2yAo_Bdx&swSf zDXSD4wPBFZ9JdKK4CXX*mfChDns(93HND|2pNygg&&-teMO#>3!7fa}l+}uQaU-2n z`NJgxy|5%tmvQ>4D-4wFI%4jHii@l9_~Nl!I`5J)Rw{DcVx^!JZdNI?)aMSmjxs0S zWLn)jnenIIHY`E?6rw;}sT6RdvIE8Q?L-|ndit`Eu&d-{uPLVlXYv=Dk;t8IKhkf9 ziLm$uP0gP$(p9!$?FHkV^`;S!IUv@ zTvLrk{gycCbIp@|bTnDZAjh!4?tbNPd(V@+-AJsRN};fv54m>ueDCQZ8ucJzW}^f7 zcoeTQ7}h=BphiE>@~5szVB7wzR#Cip7yZFSNrKYx(YIX2h8g@@xS~cR_~|GUMNvy= zdV_Rb_CCqyDIb|Xdg{-WE^!>%uhW0;Iv$p%ZN>Y^i>&v}w2J~?CpE9)W%iR9O!8ik zp{5Pipvdr)^E8fVLnEbpz98z`hc>ayi=p&13N$92v#;htD`5YG_DA5`oZAr?j%_nml zd0yQE;m0UqH{S`hOc*tt=>ll6;z1<_|d*|NFtGmItWzsEO&~|Ey=b^8ceDOAUZw0H$(oKtws11@)i|0L(rY^(cwlK=K%OFMJcbAj!0xj#lzNWjr02!a#Ntxj)#hED_ zClR@*I<7*y56`sAb%}4bt`_yLKCBA}yraFtW#-E?x;o9+6CnySs` zcMjKR1wTj4mggKvJRWCzo1bsT zs#r$V=G0j^o4941sjKhcx(4!{kg@YGt_3R)sqncil909>BRSa)t;t{r?GKl*qj0+U z%HBU?Ki=Dr#C4(6rxzi(aeaE2Kx?b0iKraq1joLx$HY!f%J zaBMgy5-!WJr~9Cg@6xk~$4;njv^ECgs#c0haD3)M)&2Z#9P|BU4Ms}^*ZYD*`x>w4 z1>Z;G+%_K@Q`xWHev}Xv6Ys{%fNy@DI@299jnZu(m+6BA*05(v7XRBD6iTc*5e(=f zvGwQ!dr--!i(bpEX>Awn(K)x)VvF$4RiRFsTXS<_7E?XqHRg0rd0TWh#J4y9@R6p5 zq8+W9igxU7HM=goLzz>9pZ>hn`!EI(VaqNH=jJh!DN|ZvJN1bV-Hcrss);@lC;Deq zRD>cmXE2|fd&p2lMk#IADYX35?1Z@~^XTAyfX6cxDH4G?y1?1VJu3f9bo;Cav}jft zL&J)J)(7%OiVZemRrv4JapSJ%Nj2U3Xp>c>Q7-+k-FiRyT99VYLINyD(3kJfShqgn z4z>Nm>s&_T<04It9HIIR_E-_0o_?N+Crvb@`h-%tUa(H}$ZLZ~u1UIm;jrUHD_)o& zFS5gSEd8d3H~Yt%bM}W%274Vb#gmuKw8+<{T;iUK2PX%~$==tOFMV)<3^RL~_p+7p zN=?%po!;Aa;pf_%B>ZO|I^jD9eBiS5qH(=OPA@<|sugRW3pc#jzO0ReM=ZR3*n?kb zd-n~Oo6TsDO_VBLv0Hhf+urp8RBtQe;^sO3UVmbqt}GkWD~DXm?<#Bc->0~SZEoFxYW*`|X3Efoc-j>9>V?(11!z?02uFO20U}()Jaa zJaQqW&25lz!+LtrR3*NFyFlcw`}0z^L2hIATrG8mlu^(NwZ%oc`p+%M(#ur?t-uFg5(<%N$4e7-CPUca! zuvz4KgPvEVTJcA5b{vIz`3JEdbp=)(d_}f9%wBnmu^#a$*a&URH|oB%FlYf!;9Z^{ zma&4x9+dRp#(lUeDsF}*l?KmFk8@|x7m0GHG#K%JlU;*J&7g6jT0!vU!g=A4;E!-& zi{!g^s>c}blV|9&cSl8tUU@GA{e<@CwbRW^s?id^*n)Dr95! z%2zfr+*G_WyaqQTkbLi7$rl&eWk-*?l~}*?8QQ^EUOC$nTO-erH*zGVE5eb2<6+kz zVn)*SCgJI0ezEc9Z5C&Rs9Y@ZL&Ch|cXPougTZS~FJ--6Y`MSie1Lu1Za}HA{%q-n zDG?@UplT~RA<-7_Y1DuE!a-mC?eN~4%lmtSMl)`xx=^{N3`#h!Lma>-=@p4 z>p#0W5yTd2hu*rB_K3NTKyO)_{lu`pas(EZG6e<9p^?$^l?m}-IDeF7pg%wSO$|V5-6XF zBB5ahKS?&2O*(em)5CWu%W?eh?mDxPBF&dRoM+1fl%!=P(dUoM&qwOqSS*(`n-;$D z{t@0frjc$~9an$I8a}owcP9EwXuRX(RS8B`BbRctR9$a(M)dqsVU-M@U*^9Azd!OtU1!%uI<9JtBA^L$(7 zsJD@>zu;WtxvDT}=ikIshiqKe0&6~uVF~qq4*kRo}iOJsc(ex69D~YB0S;_Ns*v+Y` z?#GOZl#)hAcHP5T@Yi}hl-KU?d3Z5d$TaW3WAQKXwtPTE7f7R5a~W-zb1=m@ci$@I zeI-k-=HnRb;!Wp6l*gaaxVe#`(L;@!(OuR^B^T7mKoOosS&2ZN5$85tEIxR`La-%>sr-)>NoRw^JOnRv4(5) zli=K?$i+eK?S1e?N=@KXnZl%eT4lHMU;+L+u{P=Ijb|8Hx+e|}Aq2=rH`OPRF_kST zEbSfU-)X7dTq5I@l;Yelin>c;AY>WHP*pd&E5KKia?)rb_~s?YHKtp{tye_vnjUm= zIpdQxANgwP$x!$PPF#k@a6HAX-b`twN+&e3CU!LZtb9xT?1!m|C(NFYugyruPQN@j zeEk$zB;<1#eE}+7TOaL1x^z^ns3GQM&Rgpzf}>{_D(fIT?|PU@*VJ>1xTqr%yxg}~ zJye&?&tP+Vw>Ocxxb+^)N{~h`s2F&Y2arrOCeVKAW?6-w`&vR9po8~9F$VFJZhnEy)Qq~I*KuQf!30$_4+gcv$?`LSxKDZy z43|ck#yeg*$%UwNAq)HC?Mc#v! zx}7l6ctv_v+dIAWC@b5f7k1>cbv1RvTPU=ALY!Fr9>=cGH&y>-#qz(b3=j48Kw29c zYU`^j%gd`Ot7;pX+q;LxX4jv-IYPxHrleuv5)hMBP}8}7)6~k|$=TiA!}G3}r>BRT z>m6q&2M0SlYa1&oOG^t&D;pbYYik>8D@!X2Gt*lJ`d78olrBkM5IoPuNJ~M4i-mf8 z`04HboBdaB-o1Nw@agmC4GZ&_6zX zv@i=_SlNE|;RFp68wVE`8xs>94GjyIkerr%P;zq@x-hi@tB8)FW_^j82AK-M@I&G+ut%Yu)Z6VT+%!^ zJ~K7eRh=Cj=-_bMGcYpoVQONypOcY}u2WD(!~7dGLW(n#Bsj=#H|HlNX15M732B%) zxVbslXbF)vTaqkz(NAcu=dP29>AQHl>YrcSze!}4RMRuqU6&DbOY$7oMfdEHLkgaY zI)=9lG-WtR-gL!j4-V8tN)2Me#QgJG`=LG6(N{4!4;$X$lbz+% z3M!rXgiDHlG@YgP*1R08o+q~d6FLUQi(c#0gHlXhbV$_x6!+hzKzs*H}K`#=bz$;V08crQs76>aI$? zl4`B4C{0_3y`kdgB|Q?n%F6MI{~#+q?6D7IcW=JTnF(JgVu9kKT|h)cfc<5<*PS&p zM3)2enjsBI>J=iqG0mgn(7y2xEN1C2WEvr*YsRKGwWL`wCt|pB^=G&R8HgD~J=3aN zn=8^ntgrCV;vPL&SzKCK9I1;pq!=>KC@Aosc}e7?9mKwsnk4N=b%?{A{{D zf|I{c$Ux}fJwDyzrlsq}kMP+fRCIKd1Sxj&RF&q5yAeR);cnL+@h*>A*p4peWO$J>$}fi>@E#A<;S=yGokOFkn>%<#Dh^r0+}MC zI4oyKVD$~XEu)x$?^yGkke-nec_Q1#%po)%hAv>ASl!uL7_3TzicUsP@jPn62hLE9 za)x}*WCJ^7hDbnJ`!Xj|KHW>PoJQzAgI@R>6kHNAVq8oNTw)4JQarRzFQ4peZLZ8s zj=|ttpK+<#d3o3Ymlj!96t0kQqH< zmQ&=%DnY_VX5kbujI0{jz^7t8e~y+2hwu#Rd0swVut0@G#ieB=Mfo^bSviGdlr>c( zSn!dMaLB00iAiZ#*y!+&Up#&N2^Ieg3p*1T@={B7d~{4)Y*ctuTHVZh9CA8V9uY|? z2@wH)etur=^E^V5veH7Vq$p2j23pHvjabOVJ>w!BbX+pZ{bURlk)PzV8on@1$VyGh z?|+7ZiAB#VF3L_tc2-zPTSrqvTkrbyYx+herp87FhQ^k5PPcD6S{qyuVr5`tWud2L z6jIVsk>ck*M~nUb0Ebafl!qSgX#W5O3m5a`+2Yj7M?!iw76v*77EUlUZf<@F1vM=# z^(%5BJe=p)=m@_oRJxyeC6GKaRhy96Kjw3*@m0Qj)@LkKVCxRw9pR9Y5tB&Bi7*k9 za$LS?X=-R-Y<>HVi}M|K4_9YbpP=xl$ncN=Ur!es0~IM@U=C&E)eNm{tgP*=G&pfk z2w4O#ToC4Ap`oNYLrIK{^y={*3ONfqJrUZc{THv^A0wgQFi2guvbDUWdqqZ4T1tTW z%VcvwY(Q-D@=9xJ=_V5NBk8r06dXEY3_MzPHbzEvP7V$})k}iR%)*+M4mK9nPOf+F z`T7L}hlPg*hsCC(rXFidrd<@?y}~!Th_LQ7kPOk6fcR3O3F&| zvC`8}k`UmaBcp)XVxVVWJ%66%3@I@I1_}}Xbr)~XJ9ehm!On4kdOI&PW9T^&8uDIu zb`JFY(Ns!c`7>MsJaSG+c^N4=1qJy_R}62OSlzzsbI-%Y+1=aQCm<|3CN@4UIx;T3 zptz(cFD)T9HY&vLo~zZ>iz2*S=LMvc)YLU}bd)7U#3Y3|m^p>Tg*X__P*RYS5)%;; zl2FhxbBihI=&E0q7okV}KrCkH?0L`A^|qs}nZ6Pi`sBb4Hsu)-%)`Ca<=sPc3{+Gs zVj4C932A9LWo=z;b**cTjxIidA)%o`e%|+d145z_Qc^QA(-Pv6b4yA9pzP$>sL%(t zTGCQ#S1M@P@d%+4(!EGBdDqWmQV1rjEwmRaRjC2f~LV|2mq%`LQ#H25&>fW?+a&dO?xc9&>AT}W;G$0@- zBsefQDn21Ov#_GRxw)ynw!WjUtG+lhB{|xRo={MZ7K7`mx{6O_x=0>0)qkq!yYDu-7zxuiAjoyOwKJXEw8BS z8Xg|(@9BjOcQ!P&Hq_Ksr1)A~KF4Pf=ogUH)KFScSJwh*DoBm-(v_DGmseF+RaIBl z($m+!VPs-rYGG?-F1M_vxwWROX|S)YyT75ZydveErMZoZyUXp{E*^;Cf$;?g2Zw|N1qS;2 z`gq;D?{V8JG(J5iHTGe3S5H@KRY^%%d1XamdP-_;QEq%#@O>xOz^KHOq@)y3l9Q6b zr}X@i`quXDK1fwcSaM}~dRA#hXhPHE!r~GfHa5|j9_W5MIKLe_+}k@g*4xulotE1^ z++Nkx*-#5<%Z-bTjZ27+jZaKYO;1nD$Vf{CFBxemN%1k!kzt`>LB4>9w6eOwl#Cik zS5tKba6aoQiwjFiOG-+M3k!16(sT3j3kwPg@^bU@b8~^>7Unkf4|GGidiz?-D;kO- zLlcvt5~`=SHrBScSBK&RRTULg73IZ+^#hQav0+GCM`!o&SU;qvtEmn$|7fJ5ae4~Uzc|<6fJ72d z+Z4&kcH8~R_4vlFnv$-?#gX2gp_$3P-htkp?#|AR_D%?RZEbCBX>Mt5YN)HJDk}ky zGSVI<#6@^}C6|=947B9tw!%g`TiV*1DoUG&$6+wo_!x9(u(!J#bkN+~SlduvU0+k! zw6rlfzc3G<9O~)q>xT4?z{VGk@sWCqIwv|Rt5QRvy(t3}vLj2dX2IU6meA1H44s}B z85w~s&JXp&#z%&s(18Ky(7<3{F96pKX#=1d>+1k*#d+D8$?>-sYHMp~tSy5)+FO45?&Raz=+MwWPgi$mYa8?x z9x29LUE9#iN=Mn^ngsH1Zz}J2{1FKa5BhL-+p|&?S)>V}k=Vm-iijR$nO{(90Qt_~N^U=n}+S=m8 z)XM7O(&EDW+#Gyn3N{Mb_4joFK&>_P^T;@O_yicclQWB}kDtBRdh!7Y9p&98R6Gg_ zQX-5uJ8zIbY_BXXOizupw-p3OJS=VRfb@(kZLF@WtO9~Sw@XV43kaH~07XDQ`}%sj z!KAe{)mN7l735^5r2;dMUC=$-lJKx=?a|8G#@f=t>e>>(vjCr+nVJCEq2ZzazW&~x z-u8|)6dZg4LL&4ROY6Jq^E)42yg~)%zb~&*@k!25qHQfK%rDJA2YT9CMy6USi_`P# zherFS7iJe%*49?n)&T8*qoq@lW~YHBjE+JFhx+;kdOADX8tbde0iwLz!lL5Z#xeGb0j3oMA~4oPpbLme z8~>`?y^!v1pq`D5b+z@iwT(@!-Tjk`-SPMGR$lFGtsxr2XMy^h>htL67<3Ri&^G{# z;3P6GHZCsihl3AKcRnH??u`#jz~|P%+_Tba(?DWvc+#Lqs_SE3yID8fkudAP1UtOGAfDd%^bU@eFmRDwgLN0+p0`*y5SzZJRG(R^Fhr>ZX zQ((kksf~>Rtr!^{85tcOgN;s1&(6#(FK(@mjkQ(Ow!k;$L9?Z~nW^a+aD*8j9vuU9 zN1-DV6Vqb@Be3a?p0=u**0zSq+?>kF&dPh0yL*T4*Cr?CU|`s*EoJa+Fd?(6lifod zo%5>;i|{$1I?IbIOABDtE`k@p&pZOu9GHRWsmUoY?D6pl*yJQ^5(b-`n3|fIfiJ<~ zORMV(GhMZln~QVfW1!;r`1sW1*y$vXj)HYI0qbd~ZE9+6YN{?Nt!{3rE-e98JJT$z zZS3hY_y}}r8Z4Zpkv{k;96mp@Fg3n7F+8_C51*eJnOj?!Uz`IVfG(fX1HjCJ+K5S* zLg?wlBq(6@0IFcXJWWkZ0rI8+P1Ah?u-T!Sx-RJ0IDBe+2AFAtksclfmVUISvar0a zv8lPCx+t@twx*=0wzDzC#HFx%a(oCjJ_!fH=7EizTmS-r@tU8TnFcg3PV`JJ17;Q% z;Rt$wC$I=sFW?Bw7%;ojlT+Yl0)`m>D3~~~nGAq32pt<69vmDS=^E_MOK<9EtnYxG zD$v;Jt}!$O9RU7TRcTE_cVACSL26!gT}5$mWoY|F;riS{`)U>S9 zZWt6Sis5lEUkDbKmga$`P7L>T^$qlnbmX_p&dyX@9hQ~8rYgzn;M#$TU*=O+aVqO-FcafJuOugjjff9qZ4DJfSaNIp}|4K zn(XcF>+R_19Do29w4=E`FY#ey26P0{-3J{VpPHEkGlm#5*fz&ugFStN13i@`y#xKQ ziHWhPWw5|NTnu13wTK9Q5GDxV85;$g$M6tfrw_qPC)hq}t18OMN=k}KD$8rKQ#*Rv zJ3ApQ9j(n^8pcn}At=E20DE6sdqY!0E2IrF0BNercvu!4+t~vd9E6SlMVtaF^>h*t zx&RyK=p7mC=oxHm2R5}A(heD0Se={tw!Y>79H3)})rC-Epf{rkmjMj8tD~j4zP7re ztT-<(H#a-2AiZF;yK|ru+TS+}9fri}G@^6VfvafGB9sFl>5$ZgF-AKG+BBc{kXJfma7M zzPjq_`i7dC#-4%puI}=r*vkIy9!O_T&%of|Fu(+s2rya*M1Y~LzTQ5tG!aXtzo)A< zyK-Q1dU_U2>l|W*0TVq7et=4Y#XbQ%qY;Dy2e52s0N0fjRTSsvB*mpQ^mYIZ?0|IlAf~k+*l{S} z9t;;Ogn>SA6(|rC1|W@&bToC10yZXR5&IDW4;+{wU=vU6G-9a__4OchqN%aAqOzzc zH$6QrIW9WRAYfo>6t=v*0TghsxhOrquD!htXby08tE4 z?&yUyGQo(kd@;jvk18Tr}3zf38qZ|G@GOs%b{ zs;RE20mm4`PYnp!w*p{bhP#JG$GU2(t1BCO8nOy1E2?UMN72;M0aUUNShD_p@B&s9 z@a?-m{g&3IrrPSNlG5C)ti+_~u!skN!Ja{pPJ4N_l^s)~oejm=$ys3WRTLNH=jLQ( zWq{*rTv%9$e{526PJZ6Qh?L6e`p%rd>>A)l6&4jBe)99czkZYJl_)_SO~U zq^D(<PyP1lOytq zGO{z$v(i!@g41_GLVRLUa%x&;PELMVNq%v0URE6Vi!kvC;bHNhm-O`X%U5n2l)AUI0yN=1V)AhhUQe{l~U69N1^zro%3WcGQxAmj3syTSa82C8xy1M1iw@AUN&&J$Ufow!Mv=t);2Dppb~5Lk3X0xag>` zu+YE&KOawLM@L&5Ycn%5Q&UqAx^ndmxu-6xdDGg~_`2RzZCwS>cbJjBXm>P0nK8BKYm88Q%+w2nh^)aL2{P(caR`!ra(MPfJbtih{hnjHJW`QE@3bWe{Oi z*VVsqO;=Om91GzK3O#GRt9q(e)HJUd8D7)T*49wDaz*K~qJrXOC1n+5HFZ@GD7$gv z+I1Zba7RhulDLF|sHEl*els)eIT0QuQ%jfImbPX_#)vAK8tST7R5e9KL`1~pE^Fu` zLR#jQW=2NFhS#p^YHMq$tEpU3kdv0UAR@qfp5q(`Cy$_*oYG}kNpVqec}ZSoLTnBd zRYhev5phXwW?p$kSt%)TQDFf-K3*OHArUe03*urIBqhZpB*nxfM1_O}xcP;-&vCKx z^Y!!1pQE8-VHUWeeN9JQQ}y!YOR~~Zk{2$B3-OE4P*YRWGI8)r$jMz)ynIngR8SCf zDJUu~E+H-=$jiyj#=>-#fsUGzoRXTBmX@A@fq{vch5bA~FFS|O1tCE`ZhjF?B4m6v zzVjUH%#4g@=^5zh&YlI)O(qcKWMyYzVq`eW!~n#cIYUKBOH0E+m-jY{fQp<1my%CR zL|BlQhntOsjrlASBRwOi_WJePk04osM@B+4%PTTh-nd3tbo zf{ulWLqv>ENJ>tOM?i)SNghPS0g-K79BgcC3{>QkFGoj*hsR$&ynna<^4ZSL(cb&;~(_E-qANWJU%U_6l}d^g$2OnZR==jADEn9-Q0Nm@(>jr<;#aR zZ$BMuZM;5swD9=F%UAC|e|+=u+4iHYt@Y*g^@Yh%=r9b#41lN7KRhtuS%NJE^Thl!diBp|xFyB9Xo3pSma_SFxcUTtmcJb(TU ziv;)R7>kIK<_sOL+(p@o3YS&2w2kfrgv6wm)HJko4GfRZE`S64!phDI@cTI6fI2=p zv$8x5{F1(&KH#kOb%GN-a3jG`iYlrrE2}FC^Rr?TDw0Du4#`S#g2G}#Bcna8NQ;oa z|AMp$gToq2GCb5AV^yiwX>}M0g1}C}qIE+Ob83S`%I#rUVSKQ^1-^{YnL5#|$tBp> z^upukPoI3mrev4Vw{~>%4Gav8&ny5zmF%L5in7x3@{*$BulrYC4oGH!9V9*`J~=Ta zCLul&SnKeZ*vRnc2sf9wB;IUV;`?4Yn)(`Iw7UfX7c5INQCpBv&T8F|6XiUh#Q1cA zg@*x>LwH!INFSe!W}AyjYiVD(C`yIKsBf#xA*d)$xe|hbb;&p4jJ#PqD-!izSqoJm%qI5+~Md6B}<@HOF zf>fvkwD0U$nkmn-Qla&D(PegGY8xw?_x8W)d= z>DhS1ieG!|$0 z3DjAq_7=?C=*3`?bBxK#dKe!QmkrrQ2AgwoVzi%`3?0huDsUpfff@=OU) zKd@0?!v45BQJayaJ%7(_uoCM%Dc-dRu35rY2 z%qgmBY;A3>E6+^~aWmCbzoH;3C4Eu#nu(3mZF>`K84luoXmx&Weo1vxYYT7`+xvzF zx>{O#=HB5mOX@lXM5mQB^$ddWDmX5H)d-@Yoxrni7z8V4c@@MbL0D&DdKl7BQC{0M zxwf;jHUkA%>YKZUXI6J!emFY${BmPlyyD!v0^s^)r^H0XWt6w|5A{P@+j>UlKul|Xar4=mx6dCh zFD|dGFT)YhbpWovqOPqMIx^G;Y47MB9Gje;U3!X4!ptjpo)&X&a%ABx4mBIEu$YvL zoUEh>F9$0VB0tI_eo09|l8=S<%o%DLnln^Xl$4a@B#2!F105CV%cqZ@kC9O^u)xzU zIJkI(q?FWWD2NI03CXCaDF`u+KYRvT2kMvo=dV5>p`suGQ~u@C{uX?wqp=#~LypjJ zz%xE{v^3PTXW4j!#iivgT~<+7yDZ5~M~q8A#V)F#p{s9r%hVh^;bRUQGcz-D3-F+i zjiu>L1ARR$WmzG1T5=Ln3TirfdOA8f21aHUR%Qlja$ch8=`N5Li_#KSmz0v~K^YK9EMH=e%b7nZ!JqN8tg%f!sW_O`qC z{rleTjutmG6{SQ$iW_8EZXPgq;N&!+D!{vN9Q}h&Ghp2_H=W$v$%CbPgnPv!7X!JCpWJL z{(->l3_mSlp~1kHz3=65$IbNR9p(i^FrcMl48QVoXm7oWW+>7q?ELb zENpDd3^Y^}6qM9-z@Y%N5#iy0CzWWJIC%K^c{ms;agTTBV6eqk7?kWHa!Sg|mw|I> zY-a6n2a$OP#rMAVT{mY(JH$g*)^?80Zg=lJ@b&Wt*}s6VF7g8(P{GB)#>_}pRsO`w^-hY2rGJV60(-ro1V z6(3OUKX~Bl`{2HhmxqgkO+iYS zo9!$$84(^f;;AuE&@oOOH$r0I(9r;DIL`C(3knMh3kmY`aIv$Tr9A_l93UhhARr_r zqoihF=HL+m?y{QpH2?;&P!JsW+&>*Uq9Eq%hk_9Qt$-Q(Y0`Ybta*C4o+`Du31XpL z)dE|m@~Ja_S`>jxuXIIOMO9TzU0vhnqJCO5G&Hreb*}1N*Ec{cBui^sd&k?(cU-}^ zzry(Md6oGuE7E^d{%)*)BL6 z3UTN3?bUy%I0_SgD9eUtu~q94(GL-Y*~0?QBO z=dMnrfB*Wu#wjMLuLL6K17J>_9SGzHo~2HQ)%jEFuZ>T;I)#KF0(|&^AOu6;x)eg* zFY)}fZ{J(V$RJ|EK)B>L;t(=VyEv8pKlBceNJ@R1kkh#Q_ZfryR9)_u<(G(lx+nYn z({B-fm;KYwK-C{=eQo&jg&$x7MBfzXXIg#*=dXM{?fZA|{eJu34n$T4-~l8-ejLf~ zckst|enRvO+gEXa)&|u2K|>Ha)cLKWABOnHo&4pyKlk{1*nUZo9D*OnPelJ^Ie%Zp zpK$&N?C z|Lry9e+vi!>Tj3xJ01Q?yqp}k@SUO4Pp76`?%%=l3&MW~#<$Bq2>)IYap`Lhzk&M4 zef|4)PeuQT{`A||tBA}0!odE0Fh2_Z1zW#C`FF_r3w?a!;g{|CMV0U!!8b z1uEP9+iU+nugF6Fe@g$Y?Ef}>{y)O=zg;B%!PEC|=jMO7@?VGNkIc{4aKZmDihtqK zzc}Ep0h}L|2*fM?o$@QFzlQV2U4t}1*B{sTU)}|%{&y|AyZ@lwPuZ(qeE?1Vcgeax zkoEPJO!u$&0djs8jz}$jOF({2PyU>x1eK(JNS^+b!TVE*e^NnO`lkwrKBW*2J=^-z#b5Dv+9BjLnfq0|v=ku!=Sruv zo{|gcltSd=f7$*ALVm>YuYCS3k*8OFWb;>5e$BwoxBnHne@ETl!T!^834e!-Z+(DY zY68D;^&cvy!oJJ<{^hT~pQ8Nz>fdhuRO{D+`u&#ww|9O<{R>2YgU~;u&Cj1oyzpV2|n*Xo&_D_rdI0OF=x0)`McwWq#g*z;W`^B}@ zMy{^G>SlGbxMRe{)j6yj?doRrsBv|3F`9A3=(xK1>gMWZ^>6=--{)^Q&vV}MobwhH z{r`dx#a*&gUtD6--a0TaKoeSF!rL~;pm1#6$4^dHaBfYV;IWo9|^YC@U)VYAOQHeHWsl+YTVxUkPR1lb8UMA%yi z#u$t^hZ&0GYAqpoWzL!n)7q~lhh7N*O~NzwPg<8aDyLO&T0rp8r*s9QK?W@s*Thec zzDu+!2CgpB1$I;G?=AJZ5#NVKT5#jjFp>rV7D(x8U1xBszn%b|~XN3cy5V>YcN3KwFpIK)c|8*9FI zp*@;tQ%S2gf>pjIt(TQI1of3z7Du5KRIlYWSH7b_D^13&W4*fc_{0 zJW(-zy2fpcJaRrO>IsK5lxid78Y^j9qDhrt?$Mg z;-pPx;LnCk?wF&lOVJhEutSSmykOmv^(^AEgwz~eNjPK7-Z!mvwE=H{Q|rO+ESu1% zdT85bj=uwGN!kS{k6bb$p^E6X-bs}AXAYI@p&i_J@$we za(w1TOVPpBTbQbJ3!bPX>t&=u(sG$#fk|fTH7l=Y&-fvHAaa6KuYICUqAR~K89zB( z@v#jL++hCj&po?m6a22kh+ydcL8y14x)fuCBtJX>EJd{am=cDCrNrke+Z=SuiWe)B zJ>Cou@s;)w1fa+t{5;uj82*zdnLy>m3eAH)RArNvyA}}FHVJ-fiHV0!zT|(Tq@69% zksn1jI<`Jj%en5q1B(J0JA9V=w`?QfW;sYr+uRnSGk7d#&N6>y+S9ZE_9WHrsbwx?+I` z?8a_#Bi8N^DSdsShbHIU+cr?nt#>@VnGdgGs7B#ken6FyoJHsS6%#DF69FAT4=b(9 zuC+Vv$9szM$tDwHu)!q~y`}d}lIWalE?|u-ysH6Va#z!=w)gn>s^BRIJVN7&Aul)O zt||KC{Ya<8rD|x$DyXP*Q&g*)Ud>|$EllZ-Y3yJk7FPHmd~)%(ar+YLVdn`%{Mouw zH=*fibwQN1WFt15(HwR8Q3p!89Hp9}3>t8$?ckp_WCl+oAG!pf(XH;*vZF6 zBo!>}sSHhi>K1tYGWcezuZ-`qp)>)d)}>opi2yK! zj?KtMuiJR2zb!nR$kJFUOf7RWvJ%8!Q*fF-4&1)Jm+2y@y)XxPv?t2_=t>yPM?K!{t8Wl4xe#;%dU!ru@_(();at21Oc2k%NOrV-D(64KIqU+{2&MA*KkU8v?P#fp%n6f)0YxRLFi@QEZ5mphS7CYmV6KFxp zHjmehTTK3-$-XnH6d)%Ysfb$lxwX(pe{?#N&+euaBVvjN1=@+wV80%pfISXz_am>$ zbFbRh5}W%P?pHOfeF}=rRg6AT&)~$z9cr)pT zQ7Mpr^l2xfgD*T-Hnqq(fYXK4QP^@^OxorXB6)Y<+Rc&S(~*%M#plva8bb6g z$(Y^rN?T3~x49|LKyn*AKfL%JtuCoN@9xJ}pBj8V*&Gx55g^N4ZJ>i`z!z!A+ZwxYK44Dk`mirQ7 zuEveQuHH$P<7NQZKs{O2LP2cX?p&y|%PM`Ozf*A=kWO$0t zYRE5nO&vJphH>4@E!g(Pwy=X58T*83PK!@6Kd|R$)(eC%@zi>kPo}jU#+@kbE5o|V zDJEfxa080fB!w7{IK^<D|N*))Ec#z zVlpI@F3e=cvWls5i^f2uC(3A0y~}($9tC#jmIRELZ2Pr~ij`C#YH%&mh!6}kp$go~p$i^DP%STAhwzule_reftzJWU`TCl7 z3O5J@*ndNZL=|H2_*8`%r?D2rT0PsHxkl+Z5xN0cmkxO6%DdWf!xeMujMa=n27e%; z)40SWlJKfX#Xsb?(y1qXh<9E zJu5T4J+e%28Lw*2MwEPG3u{M@wbG_?7rkP6`axoLuFe+Sc)9K~Z=)xx8~9IjD|6U` zq|sXeA;pAByJa6jH|h?bBE4zehnqHS@3eO25;p22p&C%4p}u4$J0H$GlcP^725Mw` z-Fm2MrHOFWLYPmrI`1uWmllEAapwr~HA3Hh^t|PKzdDZ7VH|tyG>Y-Me6mIlGGK6h zj7?}y-e1P!4W;4^(_-DErMI)pW{zbCD(}Bey+&mN21Ia7_xLe#)^$06mRJ{SvDkzsxK)$h&~j38T{Pqc8REv_$p6C zwfF`6085sX{mZ1aU0L0oE{%+vMR&XSaHc`Eiq*?@s;CdT!SQ}wa)%;bw&5dkZ)ldu zc%T{8Ms>{CL`}E_uT~4HSlFjNXTRNZNu4Hw${@ptO!6$wA_+8g5nm=)E!UJ}>N4U6Zv)D~iIMN~9v<0S15ZLpuAXf%LnH)T zT^xpawOX(%pAO6B$0gUO!!EI5mK)O^MFSCsX%KbT*;-8TKKVJr)y=HeZl6{Eo;_y$ zFbqAq z$b8aS-pN7%!mte~gUYNa=Z^Pw6u8M-<0_y%R<*_vgfPXK_+Zw4#>(%I?gUzt>AV_> z6&&+`cw(!xDqQq;%-FcEtq61ut3wMul0Twm2;^8zeLroy2E}Lin=7Qxr)26uB#kkl z9(M^jvKhTq1G#j;DtIZlouk~c>&K^cWV)8kHU4UsgEeX+iPN)VAT%}_=9tKe;-t#8 z8Kw}Wr-+x01;2p?htSawJ8a8`J7V@tNB-a#{gF$sX?*cYmD>}k#nlO)uX#2mAI6SC ztOT2j02>&)G72p7++Pv8r$TrE!3vbXoo(%nZaX1Q6x%QAvx)#xYpswEJP0(rvc}tj zLFOOncPWk8ezM}>1tEs>>!FHPkzD}qqv%guUeppL`0|@)tLP`iK6rdsQToi~3Td#A z)hCh<&W~#ZaS#M*b7ZBUb(o6Cojb8MdLCNnH}|4GQ` zE(KrRHJALT-v=!=(#;rl8lRAU?ykEVAqNpXee=#Q;LlzaEerarPKuqA5%?gR9i*kS zz<%}oAYQ4-$~p-)Yn9y*jU^A2%AUJNEWSsg6MZf?B3?X59r6`8Os46{U<-0i0a1I4 zs2lGuyQl^G4wP;^0I9jB#ajaXq@1w$hq(Ghw~=MXB-9}}(b(2;+ZRG@;^|2?N2I>T z`Djb*6HObMXfLaV`Ow^{iHXNVSyAF+<{flSQ|WxS3N*rW&ApjY8P;1(@UT6>+w<|0 z3ud1~G4@pHWE35mK(NZ7-bOI+ib&m>DG^PGwUO$yScdFG zIgD27Npx0?J6)^oEcLlv#-`wrM5K^8)HwvJ)&)9rsktHLsh^0grY4T5epY z6p(pYcxDk5^*I1NzF6FBV z`|la0CJJwNOzv&c%%pW!JulCmYZXom=`hB%fi$r-cWTc&7u(O?6k5eBDAWJ z4KZ^LYWwxfO{I>31#V$NloZ(M}?Rd*$4B1>@S9ILW zh%QX3l;+Q&H=9j+kFYHmuz<%Kl~Ry(gRrCNig*>HuM(+4@k7~$W(allUJ%u(ZAD^- z9v7J7Dxrg2PH2K%2AEQj+*El?DLd4J;vNt;uvOl*cq5&%TU2Axm52+qdCj=cmduWn z8Nd|lW-K;k^C9Ssc=(#Otur|if=pIfYQzFM?I~D7ChTZGnjkLp{Cg2uy&y0ddH0=% z(+c&nF<#FhX?urtTehwau`jleQqAHc6Y|2e*8{Y`UBxm2z*S$lANyd^|K9s&ABA&%J|w?g6wG4(}qp$)tE0NEJY^0*2#r3NSL zat(r?K|yX+j8I*&-&9&NrWGqj(Tm^bq~x52C4`!=S+BpO49CaxslJNFx-p5AlNe$5 z#t|d**O7MT;zUXc4AChP#KwsvQS_nU27}tmkQE6OS&Cw9iPNo4T!CxN-YB}cV5GzD z2Clt3eqw(X1FqF)?*VGa%R7cnOwEe8C6aeHVwQ*V1c&<)cV#f!I$KwXgYecX%1UQy zxK9CXuBER}TALv=e6wb~(z zeTNbi=E-6E2D5oMl$&z0GAl_2vys4nJok_?{?IdCN9DS%>)v$^FL^<7c2kup{(C2f z_|5A3_9mr(WnIHoY>qTv39|NQ^MGzEQ4CjGo8R<@6h3@nz4fN~tCyNjD< zRwQX_ocCzfI&Y+w&?X2-zKv+#{}>2PpEfpPuiR@Sep3t0F}>1ZXh_n&m}fo>wth9o zz3g?DIGr)I*1&eWn}-*7&`K6dDpGfEHm%^c_2;#V8{f9N-jL8By%JWTJ}jDH3-jVNu!XCg5+aM z*B4WDr&Fs?m@qXUx2UdL2>!-|xVm-D%hPCZMNbklEbW4;8mud4H)gcRlD87#LW#Np zbeL@7dfL0KdFR;XddmsMqYnTjSgyp^3-lXcjzn<0_9ZQ2*)!LICzMb}4o<{Ou3Q}5 zB8{#Y#ZmLltKT~idYxYfxz34AG;Y%@#+^v<_1$y#V3lAu2-L=ZWfE%8UR_U|7$@71 za-Ch3yXb1JNz18+P^a6F;HIh(-bE_{TrNQp-iObmX6B!{T)V~rfsXbL!sMR=m&dr7 zdsqTFo(BS_FIz|s7#E){ZO2u_?S|sq5hoV8pD-(^6ud8uh3=k^Mp?8NQ*i`)$0d?w zC;H>=HB~@Q1@MF?@e2I{`O}!z@@LTKXohjo=`kaHTH7k>I>L()lMmgMGgE4#aja`i z4si8q`HU-nNn0;^-6CZXyxU%RL2$1Zq^KM#7bb0+s&N%lBdmL}yw-)vR7xeH4+151lK!EKbGtmHmiZ%&Tk_d^@F?`Lym@Ie9>1d&MwKWxHKZ ztMwy);PbOPj1*rslw6liMEg9t1h_@yWiIZ@OlP|W+7pbtG~F*!)t3t6tf$iukIP90 zr#~A9UxVMXS|4btiK!;kubcfJ+{C4samODjY8v?JG*=(>txH@Ot-C+17_oYwS$J)h z^qJX@n7+KQeLB!Ks^NUm^4NyQKbBF3$|Bc?nWS?D&8!&#mYFqG8x^$~qUTsmfVk)U z7we+vc!RzCY)84A3aBP^QM>{6QTQae1#_6h%iRw_1`P%F0mXZmrE2mSJDY_<2 zc7VUMgF=(kbN|LzUNz68vyqq1W3$RYqeCwzQQ=u!g2}0p9_sg*wt4n$BD6^|g2r}I zAsr-FJ~)fY+W73{FPd7}s7Mu{_szy?GW4knpFhCW~aX%hSNx0AlZ2g!iI%pK9?}q^A(R?LGWn%Cy%vs=$Fm(rX zZ}}MzFYYAxOuhdcv0p5(SX8YY{V{k<1ny~Wz_8Jsd@%AL;CSON3n3YjqzzKJjXH~0 z4zE6Kj+>G0Ypl=md?%U@R?ntOm8brS+N@y39)jF?Hz&oE3Sb!G~T!Cj~mQ-x})SH~C97aoRTkI(3Cg3`4EC5Ci3h^-5fFdg0u$#!?J|zQ2T{P2RCYO{g)KyC8<{ zJ8&)QJ9dp^ANJB8kk|7jMYh?uG9d>zv6@1OmszU~af_lg)xBk50IV2W+f56~1U(kh ztK0OtZ0$})BDI$}^F~&XeE@L}f2{YA3C(e{2kyY8TS7r}SyKm9@m$eDvA3Zx%eW># zkZ-K-)8`{OvKfT@lfkTO23YguZ7OflVkDT4_ZnX&udmvyq#yrH4%%M zCwZz8>yzZ6(O?s9V04Sozr&9iAHKm_t5!&p1QR_Uu40e zu_NIznl`8`d?2NyImRYX)U0uJz!Ig4<|dzaF|EPLZXY_SjatU)DwvFy%4S##ayv;h zwqI8D6O59^VK72eQAU*)b+Xz_NIlwD-FF<-+16@CV%#gZ`Y4l3TnIm2Fur69ncmJG zCC!m407`s_u(Nwn*#%wh3Iq7!<5!~J+@vl+9U0Km`@fYuZyg^RjomF zOwoC`G;0pJeWrNL)cg^~m{tC7&1EAw!AqxigN3O&IER;xB!UMW7VA->5~RE5cts@( zs&V4Za=n!Zp;plbL+~N?O*!gfG4`bM%p(+>|kLcFU4mh zV{RsTg$ZLSg;QXCz%-n@wnE(R%Aqs(ZnT z`2Kr^PtoYumG|#j`;Ox{=>mtkVwxdKWay9Nm(<4t(K~bpg_hO6X>BQvS%f1dy!pcF zK11ANW0oqMXnqwKK(nC1!_~az4vj1s=Ohu|YY9VB@s0f0N7gfY;W_tJyD|ocOKhU#+iVjPq+-rkNgCucb+;Hg>(#L!JcSRzRtei}Ro>#t8-++(TqKD-_W`A-R8&QXRbIjjSwt3? zK5zMc+9*XzdHq5ZT78^LhxYYn8T<=%CmT(ZhKqd?y9IBC6H5Ejx zNoqXDF5GMK>7zkyqGK$<4n5hU&L39oJv~Q6uXiqja0mTm;&U1!G{6d}@QZg)_Iz;npFr6AZWM#&ntuYb6b7aH=BqagD zoSgw6k%}5auTe6Oaw|P51aY0M*tBXFUSmpbR|-R(VNdVbo1P|-!<*MgBK;k#nOk>M zK@xK}?sBz$RyTq&Y$6tdj8sJl!{qAqR_R?#imNVuUeAl=HAjuE0Rml|DU)c#3%D$f=5 z-V2$;n}X%>f|cRTjXy#)LyT_fs`l7^6AKWUs~SwXa!?fiD}~daHu@j>*+-oMRpUEI+*txTH5m`aqu3# zU>Pkr?#0(Q7!*K7WhY!OcRNa|LjALP3mmAT>^#ndd=yi4uw;w z&_sjkaMdue+s8#Ks){Pd7~m3vj>)C;fhAhS?$7(ifWlo=#TiB80+S@TRGczs)>IKy zX~kU)moar8TSt2)P=~=-Bd+aF5h&09Bu)HZRo+irx@T`4&JJ1^DwjS3S6fl z#z0N3M^#04Cd2n&Puf<4WKNIG1Km!J`8pvMN`)NMt$VbFc zBKTOnw#PzWvWk6D11nx1w_N~E<5iQzab`PU*tv3Zep={z(DJGuzmYSPw9Zf!-x!a0 zz#>&rNd&tnM#hT+PnG3xFJotCl4+XXQ>UQ!b#GUu5#v35+O~xOvVQL^Bs=2+a5sE6B&z07vj|=DH)s#;LX+k(Du$%f?n^9Ru=pdvfybvg4zo@C*n|ju z0mmKIsZh3^W1sZamV#jiDK(*Ifm9sCFkh}q57=`u2Yq%><9bBzev5B%F~r)eMdJ2c z0u7k=p0>KL$@({vS{bkYKxQ-7+u3@Zp8hQL2x19Idpn=K~>9r)q;>aPb#TB){x z;*bz7)a_%8L=hup&@#xf@c#TY8M*ALuU{fZl_`7iEp6vA?)CjYlOJl8# zfr&E^v=agE(O87G(Bke8u+&DaX{&bWglw>Ra91{LhrdN^ zx-as4|HALQi0*BRaUu{)2*W_)sOAoMKy*TZ>U>f&(WJ1^11k_ZscJrnAFYp&-KZI` zAWE}!lBc>nRw6xM6dv-bXWClWoaX3#a~V=Lfd(S*c2B$|8hQ?G2WkD+BInM4puRY@ zq3Y06aB6BYVVFPG3rX;Klfyf8Ue!e{@O@D+N~Dcfm%s8*o-pR(K|^is2mlq_aIW7% zt5k?_$Sl}K0_G<(Ae(@57xNwBR}F%KjLcNa^nE)!N=d;hkoZ<4w)(;&88;sdHN=%d z*nhtjl7t0R3%{yGHe*|@SxbE=NC)6K4%f7`!b|f^wPDj{`GV7zglU{P^B-^f3`!W( z8=m@N@u~G&xPHAFGTLTY%*rc#@~)V_T^$&gMMmP%VTTA07;tsd2&E*;CNBXaQ0@L`0%&K%vK|97>+q5Z<^M+Qh&)IdPCG~@> zOdJ-;s?esXAb46=UZzCW*ZjnkY*jNH^bE7}(x)qgEF~}4e)lo4;}glks~kN}Tm|qk zJ-HSqo0J`WJ)%ekZHm@#c-Y%p4fbgSd-bRPXI%e3>r;MLR zyFfLto`ANQO}KHiq@f&}x~Yrsi2i-B=v*X5i_QUz6~U2xq4nP^h4xS5ko=y7kH5Yh zi)Qka3;i!iZO;3T0o&K;d#5e6__q|3o+_44zuRz|ZbbjFB>T5mqCL)UKW_K)sBDW- zorjk5QnS9kJ{ZXSo31_YIFUbBmPoMwW*hqxN>^Hl zz5KTJjl#e~WQfV3l`z>Nm6@T`KKaEevk<8KO_|r~gzxH`rAm_3*xL7}YfX~6fU}RV zq+MG94w&`S$IGv5(9J0>i2zR(^&g&Nl)6m|V}wN^U*((j{t_GWSSj3bY2KM1`|;NH z01R2072t9HBhA?Fdt}*=r-E6vR44EsvEf_zgHF&{#E8K?B#CLn#OjYon}wIzm0o|q z=Q<%6N30;^#{iO2A&>jpt>Bgx!ofqMNK`K7$I%$A6?PT$X|3=ME1+~U7JtfF!l37K z4+t!)t~BS>tSTuYo&BFRYq-Yty}*U<$TR+ILXz`DfmL^V#&o4ti}74j&0ige)qr*wrMgYC z-lT5|Tu>Pl13}?oInw%Y%7;TEz?}gi)zn-PD6)33jNwD@d&6 zWay@sN#N_eVK~H8fK`Wh{o77evY=*7McI?T5N z)1V5y?XCbk@_=4IhrY32;`tuo#~}g&*WFw68wZiOzvM<^vj3NOVt%}}SjF>u3MBgN zpFplOAfG5<0FAA|ol8Em`-ZPiFhYvybH$o07uU3bxB;E@?@Gc9@RQ(rXn zMSW>^S`BKUim8bCBjo4wiKV|7&@)zr$}jiwLXJ$t))=a#3TelUTy`!H_TgVkc_i5L zNpFG6yreL;%l!kEsnlqTfHTYxdn`6~EbIHDBPvygq z9cAt*q%M;h18nqygOKFiyU3t4(e>C^Siyex81W0Qz=>t+b8~jqb(njDW~^p$dsh-H zg)X^f%VyThWc-!nHhdHBAd?n8x2)8D;@~p0%D66{LZKf?CFpO`wEn$sk>GkGTy4c& zX^PhJaY}EM2;R1ug>x7_&!BFi;*mi9JM9MB&cstnUtW`rgm4@A|TGbrbb#Ew*=qHo1LZwG5W0gHscJyO@AQ1l240f)&9-Mb5W;j3Yn3 zL7!z*Q12Q?Qb$iL_dj?p=`B!)$Rj;b8A!o43UqW9N3ex1Zk$^EYJ2AHmgC!)@GL_s>EC6yH;{9CD`os7d8Hgg+1 zZ?w=?Ki2^Nsq)t;awlp3N~spgwQr9ZCCQT9z07pMefH14L}s?4Hqr*O{{>A;(SN8Z zCp<~)J;tPAX|FyT3EW_+zh$*r1C0?6FNVh7gPN8aZLzRII;5R{D?%elkG#KKAWz@Y zI?aVA?z=<3$$g1reA*Cghrq@f9wSG$cH_(YYjX!oTGCkG?^^e2j+ zFUBx4(As;@sb{*R@P<3jNg_*t(ZSU3ZcTuK`>{@kNXGo5Y>!NZN5HwU)?_* zYY*^lE+@q{74oWzNmEGG6UPiKw*E8)eO>GQGpR@aWuMrfF6ogF=qhpmo`N=oD~AGoZam zUe}s^gEsbb7#3Oy;>bJF+ves-3TY0gFcb+7D$&LI7W7qROEf-pe+|`BEAP%Au~Hj7 zto_&fd{4#39H>{Sbk$D;+wjkgU5f9otfP>-DPo7dICOoYXYdz%O(TaLxJ|u=gkJs^ zL^WfalXF(vk|RT^iB?2OC%1a0dnQKQwe#-}-j#$$?%|Xc{lvVH(Z#GFvJ6T&aV9|0f zl%p1$(*jD7#{ZV8%xnUZoC@HKg)M`CH2a>#K5;6GA+=*>8JI+7l|Y#vu`gG;SA&lI zB|`fC6pyupI@hbk52cBS)l^LBKx%_ z?3_2?cYB|YrH}l#R`y_u%frj>a@mdQ@L!X6snKbTr6$wMkW%&QCKz02w=$pLQY#;| z=YXWLT-+8X%qpCjn3l7Wn_xirqp|9%uV^^eap(n{htU73`>GsU-9ErL@w8G|kXFmr z5j^R6siF1HfQ}8|tN9j%X77vX*m?o`GAjHDzX_{L3e@>x_`}5~6Kgb|zA+j{4hu&+ zd^wMEe_4!rc-J-P6qS>fU)Zu%+{dbpLsQG4nyN3IZ=f>~?4R<7k*;Q@4HL{56g@Tb1lom2#ZLyg+2$pD zV0V%bIpKZn6Zz+7qEtW*wPRK&Gu}Rp=B_4pmi6*6zv$0lga7UO@I)$DfET5v;FhgH_B3CV47W3fiGz%o&FJ%zFQx8BN92P-J4B4O6)Pgd3*8c{z!_L35Z zS&2FQp>;_>-VVz-w9MCJ5!dd7Fkj=lGykyLQz&Z7(mbnYDeDJgTsc+EvqVNv=79_( zrV6{f|%Qf0${mpg#q1s9P$gB^(o}ZQ`o+)XToY>vG`i zK2eO%T3@_NJB5h#l6Q3GJ}nyn|95hSJHuFB$ZRDEsQl6Qzi2vUCk_R3E(^c_d1b=d zYQUJ0OrP|AvKY#w{N*XEL{UEkHZwDB(upp&Mtu14a(69Wt~llRXO~xk#)%=4qayul z-P)9Z#fuYK*>?sLOtDn2Z=}V2ckafzu_~O!GB8@>fr48r^_@@z6=agU`KFs8d5>q1 zPq(uN{qw?AlJh#HGji=8+PU1W9|0W=W-3M+NiU&nv`Kgir>x5ZICj{C8xp4f%nB|I z{Eid&`lD9qCf}GvMX_}&&^r{+x-yCE>?c9^K7DKA*h0Hs;5DSD$g!%kMWWazSbtS5 zvaZOL^|~jr6Hzvh|7)f1PX`w=Wj4fg!g7+nJ%H{U;`F70zdnEX2GOCjOZ5Jil?rP( z&R9P!RV2r%_YEk{u<`@f==O)plC~u7ciH0RU;}qNrZbFdBmiN^HyL&%CF{Zt?Ti(P zlP`5|&gw&Q<{dT?e=YPw@$xy3@#8YTH;&*qv(fMh^8v71%!kZY)8Z1BgTSs+^c<>x zL!1rGZCSYnEYJUa3i)DFnxtY2kgp{prTtpTg=L{|aIw1dgCr76$G#Ep7bVs7Q+ZQC zn}wL;7lUR0^4OuCFJF7USZXFF%(=xy=`K;$;d4oGqu}INS3hSE71X?KPv%pdSZ-6d zoGmGwU9M^6IW~P^P|IZ~*`Q2ZU3a^=@c2kz%k=ate$+=m=C`}PtpyhG@6!ZNXYMiF ze*mQPlw*dr^d==}dgN&&cH%-qG8`vt>=3#l<lFN2&Q1(=C&@@dwWRNdxu%@v0J2zO%#0mvXq2Di9-0Ue8?0 zh&><(4sktaFHk!4Yq?AoI*I=Iq~9JAJ3`Pk$ofm}DoeTL@S9_Rr_j>3@AYc!hqG7Z z8N0Kr!4e-U|HH7ka@9BHiA;SbF;OM&^;HMPu((nXZ8ns|?EmnN{T1*2Tbt7UGM!N9 zpDc6hRa-y5{_m1w#fHHEJ^dQ->&hl0K{ggjecn6u*OVA)k&s5po}}duNf}EDBkrwZ)nV3#LJ&(qjE31II z>0O{S3{LtBRN3+;9f{xFIlMMjUfTg3;5P+{6^0iU0sYV@S?_REq*zJxaz*nCXy&EK z*+_)jqIs(TxAY(WFPp#eQ4;G$`L{iqqzM9VWI5l~KCqeJ*e;57&p2h`VfrUyN>=Pc z!I+c`#j4&P7Je2s3$QdOT|F63gh`=e;#lmTg8#}be8bY)a1MlEeDlFv#Ug5Fr{UcA zx&GZX`NPn5JrJhAixwL^4dcjYcsg4<`Etr_%A@$*A!!QBZ=i8&e1)Q9I}xc=nfS4K^!XkMQ`s= z>hREY=&bi=Ig_W`d9Iu{+Mg((g~i(YElxo6Up$)qrLne5MtqOPl-&+LUDk(Z&)!WDNV>Zi6`UF zAb6U1)~B@aE~vtdJy58J26IEX?2`S@0cQe}zt(DX?*X^Z^wWdTvlUsArF^4m<_l`c7kOFrr598@cv-)?ziB+?r9{g?kD*sC8Vrx>0ggqS%*3P$oSrZw}jDCN^ z@Epd}4RCH5`e}-Il}#fI$tT7SJG9JTE~rxV!LmY#e7C@u13Aw^z9zR5bne41!@Vrb zDzi|XT0vQtqe3$>hriIKOjO8Ru5WS0nlLq#nePv{)OWrz0coD>P;shXCT5U>I&QlE zx@0oo96W{SU@4XX-a;(Qj~oMX4~a=4Pdl%Zgh=kT${EEfP0Rx=_--~kg;7om?R)JP z@@CZDGW~P(ZA=LgR0KZNe3%q}3q?ZmX-v&NB=<=uMgLYf3hOdQoI~>) zUKzc!BY+9OUt1u#)kqJEH5*?TeD(_S=RsYZ^Vm^83Z*2)ymSuV{bu3$Nww+Fe*jM` zTv#p=RjrJ*R=@w6zQ7Uq4>RM6z%8G*87kwqEN6kH7P*2!tVN82n6*eS{jx|Ez*IE) zMiS?9`F^Jjbe({K=A#&G^GX*a_f6hN;;-9EK#@|*&{j*k3Wo6AMT^#$69gB|^oJ*RxXBP7+aWE) z;4w+|TSg8t>jdwG6ZOqN_2Zoj_^%j`V{^2p2o9b<{CleDruN1nwXLj^?=JKdbyB1x z5~Yg!)BVcH>K$irxQ`bgL*(#$o6-#z6Y{!%7XFN;fdM{4`U+0ZJJflB_s?@E4BATr z@CjOQT~*TWT&l_Y+6B?V_*83@T0X{2QR;i*SeP-1LpXLE9b{M-XYzH&%LqkN9^p_H zMc?w*wtoIDa}f4G&C||MIB~0QyUFw|{F}Q{?$+Kfvg$u^J`KYI67 z`4+z}egD=%UVI)-SxBS3I$_wfPjczg8nZYvioiM zjoWnKqF2|+;^18Wf~xvr$RVSqAol4akfsSNQEAgq92HZ=^2c*z=I6xy0TKP^A@8^s zn?$k!oP|0diF;ferh&pF#p{U ztrtEugL}zC<7UM;TKSlPcSz5Hf7lKoVqSUwdC>W@V+Uxee>EOBMuP7o;~~&zqwC++ z1Bc0?m-|Eu6i|j(Y@AlwSffx>(5Z3WLbYr$w8-^UewyYS zy|_j*3hcPswmVl3QRZ+TBpyY3@!6Q|O^{VHL@Ce~j*!-c&AmC~SlCEb3)x6S^}SB( zyWjuo3W;4QcIAw`K{w$;KhNcA%C(&h82HHpP^25YI=B?x)Nrx*eeSwPd8eDCF~dvs z3TUw%Y8i*#s5eHkdC}~G+MCR-SyNh!~Ww33FM>in@X@b?dn9_fOg-v!bR zBPFJLqgvSCAG^c`i&x4A8ZKmW#Kww4A#UM>Sh#=AR<1bzUwhvHPj&nLZ*SRTBuTPI zLNW`Xl2sByB9-is?7jD%*_(r79vlb9<{TW3JxWnY+GN%LKC0*GncwI4{Qkf1@A>~< z-@7{FbC2tNU-xxi_cd->n&jd$I8rFti`>&a#EFM?rH5vGX*ezIF)V2w78Z2)lqmgu z0a3wCGgrkdmbnX86?8h^EN0N%(NGS#a^%RM`wEYbdT+W(5w&3PM4w&WGxmxOMiC6r&95k7fM+*Uh%4bz*F}Nu-DXvrao2@y2AbjD_?G5(v-z&8B48E z_u0sJC?U^BZq+%KZ`RI4@(>TzsXi`e$Ej#7(N>+*K6AYZVK+fYW!q)|=LNH%1}@>n zOCfA5V`K*>9jmL|wd6FeX}M9YoGB#ap^7imyIZKrqbb!>`ryq48v=G=eL+Dd_UDh^ zZNws^ts_ywRy(4>Dwqez?cx(Xys($g2UgZUJ*wqaoSe!y>16QPFv3c6FH}FEQFM`S zgDU5_KvyLCa=(?wm}gA=`wk-s-czYG?~x~%s=YmxcJ%awyx%EBSQ5F#=f31azEhKQ zT0QyltXGImfr0caegst$MmoY*J8Q7kH??8MPV9OAYRFr?_=7q+60CK0`m3IPP3#U2 z$ggqlJ}+_4x1!|4`vgtQ&`&&{4~j9JR;8(uja?eRRMV}Y)@*(Qj8ZA9mW&= zIi6GEaZ48jo4<7CoWVRD4Bss4lboPM(!A9W(n(TEYG*+JQh0CL_@y+LQ9kbu2lYiZ z8NCiHI;*45)+}M2oQPPYELBV5+`+M0J*&Gm?rs|KyaP(yaW`IJQT^?eq7H){nRe%XlD!dul*dggp|!Fqn#_e*HmkcZ}}J=tRB zFZDXt3AFd1bNGC|@M!1;8dpX1(^>ZT_((J~wRP1YHyP$fMWrsgUtd(sAZ2n|-1u;l zL}U7zJDx;V0bQLS&p5Ns4=ts@wnz`pD&Cn0^2D({xd9m}q?%x!&#i z<>^3_=|krOd}Io+?n%p`0M5tU_1wwWBiR%qRdPCN3@e1*!l`;L6&(8bj;=Rb5@C3# z*u^|M^D!`;krHoP7SQFZDux6Y^hHgKpBeP^dKXh^BiI9+> zdTW(`b4C8y(4ACyLdw3Eh$~WEA-m>@a-ZJXCa*2d`5Z_R?F;LTAA^rbHoFf# zA1%4C`q57}G01LeH`q~6i}QlK`2}Q5PtXPI$L7h^14PnGX(|;1K`hbl&#q_4E~|xD ziIHdw`8)7Ocj{{tE`7R#^|K{vH#s?=DgRJnPM|r_CU6zS!Vy2tKW1=L>Uf`MITu;+ zRaJ_twVvi4v*0qxI@v(U>nhP6bU?#5OoTwXfOcX`dx zCtC*y<8_s7HVA7hvs*g#^I(K&VmVkRVjmBQl3f$o{f_FiG@0` z*%`r@{u%osw~9c|%8*yLRlEJO3JqN~=(ss#-^s98C+e{@Ur8>;p2?P~E!+JMW{FElMvo@)$#Sm`;jqBG?D~|VcBr&-b zEg5MH9T@jFcdG@TdOD}d%}?Gnb~f=iAVu#HJ=|QI#U-FwFOJN~)|8WL;vLGkrAsXu zb&-H1(SurT-BfEiDfy$(jav~4Y?81Fp)$kxkV(k|X87Y%eHMDIBZc#;59ElBo(kbu zi-D6VdQkYRQ7pR;JvYI-AneDVt#(&r=H|hMho_V|9AJ;K9j+~;Js5hJf#K__B9=+zp+yB>RcP2i zJbZ^T<<9NP9HtKX(1oRI0c03&p^n3!12u!MG|!%7tRT0Q+m5`W?mhWoeUBic z;1fgDjqQ&&emq3QAU3I3;LK9BsWPedT<`d4#P zwdvaQnX*N%IT0L;l}&HVq9;XAVgj^u6}Ub8HCy+#t{C%?=+@=b$^qpJAs%<=%)IU*7CIl={rDluea~>D}od zy09w|QlFc6afDo-=WtSo$!^YsfiMM3p=7P~RvMQ-Pd@g9!nFkBLBI`I_ zZLh{hJWb$l`a#DTJINdsLJ|-beoYd?BP%w_56?v&F6a%&DMvj&ct^T3K<9ww-lF6B z@h9_rO#KfSw1Yh82SnvF({ELz0Klyk)gVekj6qPxg&2R1g~T?TF07GTUO_CkzwwWTIB-!*J*;NGpjGU)u`SZ zIKC>nh-_%=v&)|xNfuV{GbF0XzL)#CA;AAde1Y=qpc$K@dFlsd?7}1+bh-utHz_bq z6z$fK{Lx0Te%3UaKu@X*bIE?>aFdm=28qd`5gCdXQBI=VF=xBk5WQ+I47@xPKfVsv zzevfNsT$MHc7k444(4jEBQ!d-IrQ!oTE>1E>bs&Ww?uuhW-{^if>Gr4xb6%Ux1h(F zSB}jP1+~TyJ*h6Z9v*J;M7;Re9Ar0$Z2Jyhs5J@Gx(dbP=aPsmRz7D=eHrU~85Z5l zb7Y+1o6nhy5iE~9NM-24#zSK+?3`QodzmjeDYnO*j}&O=3447ivXFOyP?zH=eDB_q zdHhxuetsWO*E`aMh387?W~%4MD0be2XJ3~~NyTv0kYSqo%4LemY9SwQ<}45OpARey zhpr)gEz3jBn;a`U@5?67LQx$U!Lq`SC1pI@O?LW(A^C@QlS=NnG?$|p$V!!}#9ap$ zAL=ztB?@rQ+%07ycV5u0yKw!=LusnOQ7i5OK`Y`b^9BY%+;;{q#FRSjB93nyXE-pQ z#U4VK=pSs8k7q9T_6|{-3{`+ZR$^Dog_$!1mhOD-Vi*0kNF|!wf| zA%+toIOP{#P@W#>3zl4@e5UNkBdvv#>)sRMXVzu8Fwn8 z4jh};jX##W$+3`C8*P_mV5Snv{*3j+F&4LCJ4vTvGNTvd@EB^|7lAi8#?$nbj#L^f zX}o4!y4d*GVmtiKL2q;93y-3P)W?GgBRXoVW^WONaSiEvB~@B@#HYIUtZbUfO?jDS zup)MT&$;;W*92jg9Q=Au4RwSV-%&`r!EM(^>`CHiAFCOG=)H6L!zh7*i3C+DYlL$g zYh}7UE5q!aR1sMwmM!n`6aFhzNMdq26=k}U8K3LpvF=sNP|gNLk*5vn{+?$u(wBS! zKb%+VO1QuGL|PeT-SBWYl8xkQz>SfI+t3QHVEZz}gPYynV~*Yx({%5})o&CX=E)}L zcVxD{%R)6da@*W(6@R|s%)$fT5=W|CD5acODk^JDf4R&l2vM+J$Z{- z!A^A@-$h%+=-S;=sV3QFcCzcre*b>B5C*p%}5(zzNa?wJ_VcWlDmQ-W4V^#l}_y^Qrs#2 zub%n0+_<6tS!D9mxGjN;U8(fQNgjC@OuAY%_KjK8LYu!U8Y+7B8Tj!%o$)u#ckvwq zP{>99J6GJ5ujVeViq6!q8<=vG>a`N&xdqhPah1(^n)B9a#~N>*wigcGeHwT98m32* zL$gUd4c&1y$zki1wvNX2@W(gy^3D!$De(-*g!WR~zRdQtyMB6#acEIEnJ)aJey#8l z8!aDF`QWnYi0rND#g5`}^5hfEY??O$=AiP^EnM+yMl2P#SYm=plGd*{(a=~b_1k3B z^J-eg4L+&p+kNAeb-8F${RY`)G3~*-5hRzFv<)#Zc`d{eGS%wbIiFYYF8*zY!iim` zxRgZR1WuEaFFh23ooc2oc*IlW|mjTs@HKfR;bw| z8Yz6=R3#TK$y7PQ(EuW$7u=&OMq+*}<_Yvt0hP-NjW; zH6|mho#SUuRV&Wi=SJC3B+=gQenUh2xIpXq?FFrN@k+V5bX(W5T|YU_lkQJ^WSNNB z^k`vzc4lUJzs$_c&do0@K3;nAbotry7ppJV)?dGQ`|kaRj~knxwzhY6_db8Y z!^6iXAS5IrCMF>vB_kszC#RsGp!{B_sHmu^4;-MOp{1jvXJBAtWMX1wW?^BXr=g-C zCj-qXD5+^^=|Ke}BLf``H6=L-A>Pi%H>=BwGuV-#UL>Lw)>vOx3x(F!)i=Ug;O)qs zzCrW|W_)65W)47mvhw`p>vtR5d-w!Ifc`h?RMa$d49u(?Tt|8N1%-r#g#`F{dAPYa z4{>lD;sg)*1cgP#PnmlhWm;1>`+A)}=lk#f1*Kggkcd)m) zZDD3?c+J4j*v#^tvsXZ9WL#2OR&GIYX<2D$NpW#W83fwc+TI1GGd}y|^)B%N=0iMu zfafyiu@v$*+iRrneHBIfk=<(U5=j$J~@rcL|FdSq*#KFeQKu6DV zSU^fqRaIV$lWJ#ugNk44L0my?8?vXnqqVjqEyVIP&3Ljd^Gat`3Ay}jzd%n5HDOk2 z61=w)Rc@cIABsoqP|{KpZ>-E>F@x|t7aDpmT9xaT_uPV_qCI8XBhZre(K+>_n~dVR z&f%$f#l-~=lViey0>G-Lm%s+5pRT@mG~Ux(SJ&Kyo|u`!40N_3`X*m~AtA$?D>Zr~ z#xmxB<^#D!)Ngo2CMCy(heT#Vy9ZkmC0&V9E-{KjNF*&n zGb`%rO5$(xVodUT?lf<6>nv{&l2ed;e!cSK$&N|j;=Rk2*bfOClvv-m|I#!by18lL)OIf zIF~_084^puc!ZCKndH-lT>_wNzU*x*qo8SiI&A1bP20jJ%&P8*8KFu;@>eH$-_rxs*{x!Sn+_<6cGxd(>F0?~?# zjfo7nb(*qC81Ht+@*LFj$hLIpE>Y-B0U=nim}7vQ96@4h#`&P=grb4B#AKvw!g8`g zY;-KgrQ}YD9zViPhd&Q5O$)q8-BGo`qIA#Iw%(^FW?=-6;~BeZqw<)^JTkA`Y9!hLPk zC{h`hD49q%2WE7tPBhuMDEF&cNj)5dt-XEw;q9|0@5vaMX=%XaXHgC|L6xh<`Wgz7 zVglTZ#Bb-2xgM9!n>l;=2FGR;Lz|l`5}Zx%db(UUjeSNsbT&haS1Ug%^z5f3moGBb8M@sEKYR0W}q*EmKRTL z%4(7=fM1_Nzr4-#hrbM^POuQ&gg=8cLFUtYqsGLp=={A)(2Mw!D;l=T%Q=CUy0t%5wSk zZ)|@c;y58ADIueDMnOs4?OuDl13|@vsmqU}okq1L(<_h1HF> zON(n8Yr~M_=%kX4g%4Y6(*r%2H&m?b3?!?A@S#^kBm}$LTO02`>=2NG6N>imNmcbT zGUD8%lLH%v<^%Y1LEaP6QqoGA zmvuEYFWb2K1_lQQ1^Bw$HZjoCyP~h9rmP^sM1W69{BiZ;&dd3g%}+1JS|Er=OVFSg z_>)g$j0`02-x1I-vm9h+CY&98PfbUp&P-t*q zU`R-ym!tJf7&#>N_=hvcRK*{i5uwOhcEOhq#Sy^c*MGZAs(PNxk z{K9EF5MojFqiW)e8PfJOj zl0JDt@|5h^i@H~hO>bH|yV%<~xcG*I2fG^ST6lOl+1}DqRnt&BdE%smsF;$WrIFV8 zGbhB(UbA*|a&mPCG7}me9ub|G^e`npCLuE?Bf{ZcSbBC&R=BNCa%PObkH5d0#Z^Ny zO+jv{i@NIK+~T_Tyh9@c-GdXN-0a-$y9b4MSeafoziVw}VQO$iU;m1puAYIB@r^sS zjvoF&!9ifI9{2qtqQV01sH@-g_xG?fyJmjxuDOx6x`v*Wcc8DEtMzp=N57D;(2&s3 zFkm&u#>XaP<);=^H?(%Z@Q1{+6*J2xy`10&*6)6-JoBBBzKQ&N(WQxd^@QffwGSYSjYvcIbh z-Ucg4OG|c@l|Fw)NX8f1Rh6Ba9v`7v(X5pLgBK=*naCIihxtEn3(lx4PYz41f|eEL z7Zev4m6Q||6y!e4OiN8k24+V>Qc7AzR(AHo?1yPdaZw@up@|8R@hQO;PSNq9{{B8* zz7L!O;Kp%C~AP!)n_JlFBa@I9GLPC5TFiTkc}_StLg6P>Fe!o z@96Ct7#bKr4S_P)-`~^OiD+$YX>M+YH8nN?zBSZUmlb5ECC7&a$JD+2h|DRjYw1J) zGrX*(8$CQajO*3g-PPIN)&d{_3mrF`N=Q{@9rD%s`?YD*Kwl5Cy$x1VUOn`3k9Zvh zZR?txoqGFat6-X3HpqOA?E zskOPGp|%22-GEy8y!mWy3N*ls^mTRhq53f^?}*4ZS6?kmJl-KEeD{33I#^TDHPv10 zUOuF0aG)76JU)gQ1sz64F&ON`*!VcW28JIR=$BDiVsFpIum(ot&JTpP2$9jE)SW0LOa! z`?|Zk+TpGB)$pO2^-p`m8FtYkf-i4(HzuExkdP5SM-Poo%=Fi{b#- z^fuMEAW-wOlh~2b>Dd`DM<5J1MBoK55-cDF?3%&8zJ9& z2U$12jDGrhd8~gF$n6*gS~EI3J%OFTAe%c{;Nx>MvzX!8xtaNyX~3i@0A&&soB-|5 z7VNYBe(<-y2bAuvZX^(mzCjdfWDK(~)z{wu^b2-r20)qv{29ZJjQ}fqcob~Y5%ef_ zdVU-=ikXIYz-t>?fdm#7R6|-I{uN8BpEu?~#mM;h*i=I?>JbnS%-oU`n5DGPnK@X2%r$>k2wV1~< zGni2za-*10Aa=N3BO@a~xW_QPuzH}v8tSXd${=-((8`MXhT6G4r41|R{G075-DgaW>D6)u2LS6!4@P+MD8 zT#IN-yX9KcF*-5`lnWL+F*!DhLJm#hWDkR#0`HS!!&4)jqjS^qbF;G(0Mg9l)b#$6 z?dwG_IzTjx9zhKP`a=KauoO#mu=Lu0rp3=j5#lWw%R89P0K z#Vyy|91hG35N6z8uz!I-?{fx)0y_pQ*#0Tf4*s^awYMYM+B>@XdjPY>YJ#$mu!8*R zRz&XzW&|g3y+CjE0Zr83*$hW?_xAQciz{mCYoR4TeUA0!anu z8?w8n3kA=EO#&2iv-3cy;lgASK%j8Va5@{Oa&e+F0FHuwaLge)+JWM2Zf5K$tT4!f(D+E#tVqf`*sgXIO z!|h#w6}XdW904_bEKtpvjcXYP(qe0xQ7wke%0FaJ$M02zLBeDIOT;=>~^oOG{%N(AA}d`MH^y85wEGc}WG+1BgBZ5Sd}r z=*SeNZ=kaS{OJToF&x+*E!B06P0h`S4p?1NU0q{Vb_*QQ(Fx=WY=;rt84k7zPUc2X z-Q9fvCAwz_1J2&=n$psmAuLdu)6@H>2H5>z%|HjRkHF>{06gmMM7G1>O^x+6RTX6= zg}FId>1i>kX+@Lhw!vc;N0uQ8DXe#3>q~)*3sOFJN$vs z0d&FCqvHuC}VIte_w}Jv}BdCNj=EWN>aAjeYtYM4YC2 zYKzKnS`dZ<11T#j%1=+v%r1shL0jNW&}wK+Q!Bg+Q3q>l1*bF|Y}fWqB-mNN9K@Xg zz5OVlT!uy-FJb!!QC%Hf-QW!zKS0vJeh1Pv0uJqA+%DE8bA=arV2!Gah?G%vZHev8=Kmi8yZ{SZJn)c z{f$M?#=3f7PB%6KK?lwUq61eDt%#29{vix@X8Gv^(2FowC*Wc?&>#JSX!HOI7*RN_ zj8lVP3wI-d!PyF|{hFGxQXo9(X^C-BVG%(gQATr%(X-2s9|2izsm;%CXs7|pR0cei z+=pqY$+5ssiYjSB0Gp^D(%3W5-rbp4C21+QPy*V3?Euzb7x}VR~v}Ty$_qkVkBOWou_=Luq|yYfE2K zVoq&IVNq^gPF_JCaIcCAi;9ZA2AQi``^RRmAXeW2etms)WhDrP1FIKW3&QsGz>sf( zH8;1mz+er)qK5%9y}quxy0Q$6l$Dtl8y_AL>gDh4?cs3*`q_jnvN3@ge8(pz3y zRG5>Km64I092XfL5a4$|EIO{F9tLaaLDtrH)MXcygUy+ik&>L8n4FZ9lAM~BmXVQ> zneni=3JM3_8l<4OvaYVYFb_C$0B~^$E+}4FQd$b|RY4$?z;`JtFR!eus3-+Okq0(b zazad0aIo(KUkfk4tML}pLLESbBjBZ3dBr6KMfth8>6vLMX$gt3VS#@B?hXMy&e3@V zSq06_m5_$|%Ho3DEa28hMudk0r#J%lFFGbRE-v|D1_+y#<|W2vAy%rKM+P zWM-ykfTIR@m|5Al|4b|!d<4J2ASVZ~7$}`|kYtFBj0gz~e&FJ5Zgs;fk~!#9RUrhD zo|2K53sxyJEjcwIF+Msj8pw{f>wV{Ywl}oQLnGaSN~((s!JIQQQsZNzLIeH%e7t?U zJiWX;y?y=t1B1h&!$3qaE-ENEE;TJaGR!|XAt5d)DJd}?SK`3dhyw~H7DQAdA|j$< z<3SCGuSSCj1%vQ{ucwQxrNvD((|g6N7Ae8W3BLYu4*^$jZYziaga?BtRG`1ZJ!@NQ zOEWFW)8{XFs2n3H0@Fa&WM*wYhump0$mQorANRSD^2$n=amdAYSC@ z?HA;wZxRv}8X6K35)_1sXZQyOf>%FZA8$`DA1@zYKV0A~FeuR9*VWPS?mZied)E3! zhAKvq_eR}ZOud{O{eokFkOv2a`1$+X_i%G@cXM(uGBN}?5-a1AN99Zd0as!o!a@W6 zygl9QtnXS{T9}$#H#9UbFfuYSzHVk|XMI)wmW`d=T?@mjw`_D3%!2|wy}dl$ogD3L zY;3IW0rb{)ZdsV$u&}heedivC0J%83*xtEgYGQg>-$++a``me1DSf6BmKbYw_oJz6U}RuubX8YNTla#7jxz5_s|O&eW&zq78|mYo>S$?cYinz1Uc9KO zbxBiKU;i4ItC60zx{8W|yrSY6Ss6t!N#(hc{3F~a&PbdyGPE!^x^exQiIKsz%Q||O zbwEEcAt7P0Q;O%b4UA2$o0ysy8X8^E);h1MdR9?EK|xMdM(QN4NJvUc%gCQm)4Zsv zASWXuD|1?2{Fscsq5d^J^^2F3PDm=9m6Mg1larT~k&%`2{mN?16K+nL;afDA? zN?JxiN%o|OkdPqXaXtY7K0bcF=^H{qqsL7o@2bcxNpb!M8t%}x>56=k9_UcP$$W@C?loQ|G~l#qZB|I>$$Z(qLM z#U~^oB_RVDOpx6K2~3dSWM%@nOnO?{1K{BST4s7GI!<0*Zf-tax?MsBRyNjy?1wqo z*$y&+au5*V*rIT3&WR*Vxij zPghI%GzgJvoD~z0kmNsnnCmc)u;5X_GnXwqBT`Fh8=HY8)3tA*4Fh9m_VM!bSMRs+ zK<@d|Ha_0lS6ds8CZBC=?d{Cr^Xz>CiZ_|9q@THdpFb9eO$OGwEofr2~Qz|})zXBL;1mX=pR26_TB z2@L9m#|yxH#*Uzd$0w&jK78rfv&E^gp`Nbp_J*3;n(~sI*tm*};)74=vXgy+!~BB6 zY&9_g^7NSHx;N~zL<#CfF8Rf zl9J}uwy^qsoA3ZLBO?d@NtJ7M9)7_fh#H@qiHk($mjipQtg0T?(h94st^v_HXia%x zeqm`@Sw%I7#MM**D=RxAJuM+FH8nIKB~3wu;i!*;hPsyOX+g?`euxd%!8aEUq*8y6nomIDtiGj{sjiB&sF>tQLCyo)b7ON)W(OLwe9w`EM<~YRpAJe$ zDIfntO3lo5^bi9btAOl9Bg@;?&VJ!>@iF0%Nts!xiSbc^?hdz2uithD=d_m>hyr`w zzwhOJ-^I(v&eYseM^;JgXm94qVSytITaCenTz(4$DU2jjS{^RJg^i7{uJ++a_)Of~ zY}8xBrO7E73I2|*e*V5b{=T z3pD^;K%&3imjkS{@8Ds40ZT7Lgot1B*k{79?+8hVNvPPQ@1-^MS>Cq4@8J^|7Uq3j zN#xie21*hle0)+`MykE%D;vZI80d&53xj-u!$W+mFLEwqg~#Vsw2rN9eR#IANw9%w z>3{LM!|MpiJ2%E%(MwJtzS@WO;0xh2Y`Zl&ABk!CldI=W>s?S*kd@cAFg|zo-FLRNG`^~T^_sEibuDR5O2RL1XF94uFgGzZwHW|mg>T)cc!vkJ`kx{@TicLt%Eh@~6@-Vv~D|VcVm4TLqj+uk|I3F)J z2NTuaLTgr#-Hof7XB0JW`v&g&(OH! zR1oA(hStFl-2-S4oE+|HhUBHjMa3lN)pib{dm0N8Kn5Z%8`9c0w(#QJ=7+UMSo8ph z+m0=LARr;ed%rRdLN2r5mdoPe{3IF)tEng{z&U-XNpX=Of&Tt}UXB)5)MUkl1jS^O z&tK9puypYQLhk7o5*ZP6|CX7hy}O62y}f%-Ov=N;awu?ZS{iHfiz;gBfKOXd4t)5w z&aU3!g-xnM{33h@31{1CTgO4x_YjYO7&szjrNo7f^Kf$?4aOTo)lG z`0@o@t0BPKdbhUncyOi zNeL+#*}3_}kfzQ7^zaZ!qcm2P6zmXFGqG_TVrOFq*))mM3TKp6)h}GqRF@NGrzRq# zU^*%$t9)Kt-`EVK6HTrg0}}w4L`DXewJ)C6&`?*A6XRwAXA>bQ?r@-@0QYu4A;#Z$ zJ~Is5LEyl3^$vhADsXUzfh#-Ok7%f=Ya1A!8t;eKR@b%lk4?`^pnKY2jj*<^p|RN~ zuS6tHpHaW0ch&Iv4J%t0PhUSjUw5awrk6qTTU1C`93(<@u9;ccI5>k}iss_tdf&~> z)zRkmO*0b{lk3-XR3x~lx0mOiyeFbzIBEi;GX!z_GXU;pOAW z(P7NY^4lGJ0{qWgA3uED-2C|F#goTRUw#0G%DX3+u2y*8><1Ehc5YsQvr39e%IaEI zjBnntclGe~2Wrg6&HlEjf$k+>R9(JiYH4ln?B?#_=?Uy;;H`Ljy1P2sS>Lg;G&j~$ zljdb2e!sH(8lU>$Q2`NQ0iHw5G~`5hJKH<^*IPhVo&EqB;g{Xd1f*1S;6e}`6&Vo- z>XK2@GqZ7UurVDV`ml)ZLZX(w&~l5*t7@p9GX)bhyJ>aL0f6xfz*)e+Ja%=oy?gui z?YlMriielCkB_&Phx-G!`}YBpoE&Ve!DS$$E1IgOMY)+N@jtG=-XNf4I?N{~C39Lv zT0(@M=P>? zsC-J~=s{|tPpgkXK>G2E_n(O<4$w1#`)2?O1qmVk=iNO#0uoAEoB|LM6$clxj&pM` z0}c@r66_azU>|I4?cxzrF&;X8LQeJ46+@F7z=-}b-VBC4A^(e%+Yzu^rRC15YwG9&oqNOF#?}td z2h@SE0(w6d@Es?^pg8|j_95Ea0YBpIZQw|lnHXQYdPP_J64-5O=Twx>o;jnmU(TF4 zdsbORMfKb{HBi*m!OOXGs;Vj~%F1W=i!!KFQ$K(4lD6(;eQ*uT^u|rgTet68-}{FZ z5R3RnmHp7ppOwFl_RmKBn{|H+%-^K-wcFpK_^&$sT}1zC+`nJ{HxPX#1~S6GQ+}xX z5!3gUe+B0sA_AR%uMRgR7+>+LzWDa42#Nw6NA_FwHw0}8xSDT8p%n!D_sd_w^hbl>Y_@;Q4d#Kd~IgR-Bx`zpdH+m;Le$%rD=*)%}d-Co(?} z{EiTC2*h0WS@CCRzSe=ppq+w3D?kLAE8y_7|J?6)(foo*e?S7qN8HfgtN#Sb&+PxH z@jiR^yWltrm;yfi5tQF{|1Bh3o8LbD`s8cP&kcT}^G6-_pZ^Oqe@5`{8!xHnfk9< z|3SUdH`M@G@CPma&5yq_=-*8A{}FP(*dqVynE%3_`L|;Hisvux=6?q=rM7kj1)Ng< zr*I0KG2c$7f5-HHp9XL;e<34|pPu~==%){Vz3+d!bvT@Vjr;Tu z!Sfx?e|xTfV}M_<;2W?0xA5%8J$^lh-#qwrga6s@|I6h6XD9cc(f`AN|8U?x9QY3h z{=Y}6gMZDwKOX&e`zp!*7*YC04>!j5kN?&8Us3rB!J!{0oKaFl{8tJ7wf5hW z1Andc&#k`3xBj5l*X+jES8$;hmwx$LeyaF`j(_{HV*4NPXP=_HfVV3eeYD-0SZk#XZ~a41VkdjQVxbKM?=D)bsu` zT$`UheCzNd%Wz4@pGsTXcWk(PA)o^0+zPIj!+%JkeuW9D0ZYDh`~?&K5Xqlb{9=e- ze%UAT_s}N{B3Ce|8)F6YgRytcwWq!179SH!$z}lvu$rp zwvC%@dz)-;uFbZ+*|u-Sq{&U%?0Wwn<2|3^`JLxFkvo zqnZ^JZxwNm?Xh)_x|*Suj^x)wQs$r{9Yty#AOO`eJyxQJ_NBoqbuLd)0Q+S%+kTm= zEzWwRm3QBUhMNG5Xb-mAlzeKq&9@5#JtwR@SdN@2oOdOUvw{IKI0)BC`wXRa3m@7Y z!d3)qJH3p#%ZIKX1U>i~#Uc3BEk5mIq*2R=0*kwN4p@?W;4DyKzD!JCxIV8A`{dY9 z#H0kdsnKb(EVpu|u?^=eBJ96KS3)xT8pJ;o<}jsNj{&q1rjooNS9IHOty~Q%Tm?1* zokXF5%kybHsQ}N>W*hlp!6;3ng~KT)0eCwvU9##`1S|?(-vzb0*S-W{N8Y3e3a&e? zqX}nH_^$>^B)Uu?8h=OY2<}}hC^$~TBkQxI`=RsA0v3N^&r<(96nY_RmCatJTuYPE$t<)P>Iv%jY`XIdYn`)9Mbfo}{zz=v?cY>t$%3dhjMQYPvB&;q_}JgHW34 zwwuo#5i4`mU;suzQFsz#j)cE!%Jx*+r^MJ;S-G=T^H?=>J(HuS&hxQ`DjFQ0>SzfC z4g-<~Wqab-TS2uc=59s&UI<>m;cE}}_RMFZv#!L~(cZT=RD|KR!}QvO;=B(7geTk~4)Oa?&?vA$vn{3AMumJyB=*GGU=EVfnIYwMEVCYeCcctERaMzvCRG z%5oS^m25slj!i${CeB2-F(byB*RJ$rE&>MMyf-Z`&Y}vN1-idBOlpP%8@I+7-Uj8? zZ}O@u7FtqGH+86>;Jtl=+=nImvd9PXYMlx)kCDW&42a}w6-zdlK|&MOK)a!L)*_j_ zR);3S4~N?y)qfzMR?x7Wz9QVtbka`zQfdhrc<3*i=GF0A#j}L-uozB z*b=^t!a-=6cL3+LtHydCxFp@5xPR=eAuy4atNA4|75n9?1sCkZ=I>*18edAf?Z;ip zR@$I=Xc09I@ZDugiQ(Kkfu7bQhBn}0srpYDMp_%E@z`q-#;3SuA0rzk=L?vR z(ZY9omq?HTx69vn%?9qT1wOgjHMbnvp1R_$p(8e)2M=%V1a%WUGreKhYOVn;vdRY3 z{9`aHE!{7;8`Wx_vjkWi5`mD|K8JYT(2OPxQaF&ubr~%gPp4mut-EI; zz3I0V@~tzqg@jA6E9oK=31)LCQKIDr)>LLd6p7S({w29wt z`BESDYhZvlmii#-0e0r$(K5PoV~vitzrFYj22Y*hqthK@5&g1LaH z*ngb%N}~=E9_v@qQ14D&UXKp6ok8cjD+qilX@JymP!3Yzv#i0RKLSt0uswZ0&eUkE z=nNr|ki-)so9Sth^@Cu5m>rv3sV9rG2tO;Q5Y&~jG?(r#^(6D3WTIbpTDgna({un zk;;eHD7ql|0Wg|N;&i$`N}JSP^SOkhA$bVPMnpqL$3QQWR_kVkO4gJM;>kIM&>A zId7p0-xflyDJ5v`3(y>#o&50Yl-ghUS|&wg1{yoFYZt5R$cxGns9(11;N4$SDF#VW z`#J@}tY@!AIdoIdHUlwQ;$(ei@XH%?aPV zM5m^T|60gZU7e%$0N2$M)^ciK&AsH8!HR4Tf$J?%6dEBRAB%$=&bs26N)f!IMSYpf z7}sh8Y}Qc_|1*qJ-Jy5JM4)1Lua{H6JGK)jl zZjX@ykm1O<84=^>X&5s{jdL@kb;;N$LP)M?5%^Q3i7{ryr^PCZ;`OcyfiP19}`mE2)gpOhJL_^S;Lh=B-dEF8}| z5@dAz12)pYRbHF@4HBrSmSK%auP{t)!4SRel zu{52YUO)o^<**Y}rIlE-yHi8=h`O1Z9`g#7t%mur{>HiO(%6@I9V)XU@LY3{%_pTf zoOg9lN5UlLV(1>U_b??Q4Y}}nTXOP?&Vz0Jc-w~Zrhzdq6)I~~ujxWN7V*%4Bdem! z6OHf2)2>FOjA(^6Q>hy?fp6vCio(}ZNR3f6bE@6&GlJBsk@6sp%8gcVejdIyY~H$# zo`9HxRJr`&D>9>Z6Gugx76$|heOQD~S!69_0)(FObnOm4J5@!`Zt)PiO7Zog9DCrD zQ`HP9R<0ROo=(C#D}2YBk!ozQYT%(+evvciJF+o5P;hO;##Ui?!@ZhP;=rS2AC0@n&#qgKWJTo$~0 z7zJ~Y%w1qV5#ya&sPn8m@W4ewm>dv4I6Iz+tUoN9tih>w7DdWl9uGk6h6!t6FG(f= zzH`AqSR8@JUZOPZyVDppaTc{Arj|vXdP<*)`7q2h#L*icvo=0GBtX?9G(Zo#n^h8R zCV?WF;j?!osd0Ggv9C;1m0!mq4eZQ8xI!wZ=9Mt%bW7mqgpxpi;LvTCtHj=wz>21x!?oUj5YQCZYwi;GC!9yqo z+t56cBY&3lCz9jEa-6siH=@WL`Q^F(nj(Q?O(ZvK_fDO=*i3as+b^0G!$8kCb4GuK)C`UPg~M!_kQzV-;@8k*F0 zWCRJ9)4SU8wqJvWia=7dnuE^%>!H|tE}AG&HWjcMs+gH~2xBQ(NJq>kzkf<2#l)tjVVyZ=c&Nyjj)6t#AhQQ2_mm_V8|M=1yXF5B}UScN!Ze#OOi zLUV+k19}DcY^pcjaENeF8DSflYaQ9`(13E}ky8C18`cNmQF^`di zg_`uMQ|6(wd~^<988f;jOk`j6Hpc~f`b@+@i=*2>pGWz6)XO~Pt@;t4JPMB)(M26$ z`toH>;>@_ZstX;1G{L=yzEnv%hE@0yWnwb-3fAvH?^%MVAoVatK=qzGA4t zCyfNeKeDW5I~B*!*0%V}G8-SQ_Th~l(rkX5RTiW#toA!!cplCbMHQ_`3aj#sI)^UyvlRzANxWHX!_vK(j)K%=ZW z0whC`;yoJW>S{|dI$XC1om|vY*X)wP2N(}1Nn7V?N-~+kxzSQ3io{K2PQ=1fSGJ|c zY@~GQR?y`h)>0XA-l}2z_+v&AFDcrs61NNw^Z9hbN>jPpgO}Y!<%M?&eP6mYqHk(i zz5GTxU$!fG8F9|Rs(2j0Fw>Tik^|me1*+vs*=h2(_>hCui_zF9^tbiNh_?mp_aQ_I z2cN+=yT@40qM~PEt}Osd_?Nf+;W;I450k)B=ZkDX6 zEF$QI6ZvfU;o(=6iM?7h@ieVYOwf?lg||2P`(yU(J>@mkNV6K1FIvtZEs9$s%D4U* zt?J8{II)Ovk`Wr;iNZMp`=sOciU~&NlXD>AaqKhOuW%{~>Eo%RN!l**cpSn+4Q#5- zWtc_Un;}Cf{BaL`_WE%@)Jn-6MJzrxZW?9&T)8Hc#vIr~zM2f@N7pH8ryDIljWBUf zJcr6&xhT#pTxNaz8Qc~_oDfj)G5vLf#R+|uT&bcYa{zyl6&e;}MvT8u!74B+i!N5o z3_!>bGoSIcwoLiXd(VQ2b88_rP>|a~-V!>btRs$+sp=|LyF+x@f$^xVjL8zkaZo8A z?3@RDhDFU~>~b8hX^%UU;8I!wVeWT$s=ax0s+E=!hLBs=J98MXDQ4;yJ`N3sRNJ>v zOZS(!mNcx{@EooV<5CiLje-(PnLxGzWg=k}w0q{c79oq#UDT5yW5xH}8Cm`1wf)kVAD`3_Bv|}30Rfho zGMAI?HK|+Npj+$-ZJ)(UmB5IKdFF#*1v80{Pl7{$)@%ihBJsD38joC5zv%M#DLL+1 z5K=s_bbb}^n4k}gG+N4Sw@?*Fq2NRjDFo?msiIIvEmP7w4Mjo8Sona0e0JJww) z!xxDA1YdBE?Fh9PO;pR zwjQRnsaHI7dlk0Q)OM;!Rwx*0{*w37<~i47u~(fq(f8kEuD z2k|+SbEbVgU?r1%fu_dUEwUR4s=ow}lT~t)(cX!ngHA>F+>e^K z`FS6Wh!S@9=zy%f(%uqEkyoc1QQbUy=xmWPa$k44)@&Ur6UIKWpFMr}t&84-zPkeQ1Lccj{*W}C#6rNVO67D0`rlF zdirG*N9XY}8%$p7F&)LD0|xol8ov#v46CQ^e09wPeM;pE;68m=&a=`x9leQGJTJym z`jzMg7eEBD<4~g4tz0sBwJgF(JYA^`PUe%-v3v|L1XG|r{lOEmQZq$~caOTFMl)iy zczfTXOK#s5s*6{j^(03g;9L5OJ7@&eMWscu3e~J)Hz-!al5HRB({%@uTN7+pt1?59}U`gQuA&33PExLhPdYw#2bY{b(zi z0N?u~9O4?eo%HTngotil3OYGP@Uq@>ImzMsX z%9A5iV~6TDhUu|(ubV3!?YDR$;~r53V|)`bY7eJZS=}fFL#bF1Mn=6xq>-XP1l}mX z_WP94*^JLs>KxTwXxa!{utIaY2RTTEiv@MkNViEepig~NaKs6E+^*TknH;G;VsA_! z&T?;PRGq0fg>t^$R&6!xD@YFkb+6=F7x1|5hyBe7wLm=9Pm$XaakT4|dKnae?H`~~ z>xXQ)H`@pUnLHfi65hr-vG8W_W>$7#DJ;B1#;ZB#it(gA6c1b2{bj{;O5wmMnCBhO zr-Z&gM~4`@cE1^x&Mq|D#x2Ftw1VhCwSu?QnXr;OeWq|!pEiCQ!b{|OyLo_cQe#O< z&kh~sgx_x>i?>y+|9Z>0m-l$xLsk@AdmuQMbaLt*8(>{g($OaHKDVzdn2h9>W-@klpGLVyV}$P~JhtMLutrSSvT>0aiP&ur>n#y&)hnn~+@5@X$W zL`Sbi+|VqWEi>BM;>#d7tk^B!?JsBSzE>}^%SQD3i72Pc_8iS@RZrSq-My^)70PQA zwi63@Uw{@QJNiu~_%B%J7)Fu%jfMBJvT_FM5>mi}Z>q4VP*-xf7nZ+ysA1i9b5(;ESG9O=ykb55QdoSubC@1k1G$wd? zj^G7LJZKjAP=m*nYsXo?TNV;+>jWxx!qMceJ~GiV!Lci);YBf!P@8IQLY6W2?h||> zR8lhonc@b&(iawc)pZPYW@-bw{a0NvXVH3M^40{?{&qh@!%~~>rRbYb|C(AohqQ}s zAuVI9D_qH9ZkJPa9e;Xsz4&q!^6X8~2b)u07DasNTfJPUa{M8Mbz0}T!D{DW5K4Yg zG?2GK-N36+inpZR$W}<09aeom!CV(xC6!)8+!Na0>6a0b$l#!?nt0*k+NQ4mbWpl}+kRFnN9lmd7Xz2l^dlw-%I+Yvm+h zr2f)E25w2yPzkCbI+#rlJeVf96uZqXrP<5FwtD@YYB27kT)`!sc}Q|(dl;)-#a!rF z4!wBSiiTCcp5QQ#^S79WH=#OkRU;XthBI^{F&7SFADXqB zjBHn52VRWp^(r#Ri1eKA7P=t^bu3x%+``OK@XVDoKN22(ZCsa`2w#WIY-IN*(7sN( z`}p|OYN)N3nueLap$)1j-|7ulX{Zfj@RnOOBwCTU`R+FEiRt%`gzweYAt&6Yizkr? z2{M`y1$IHft_k_ZA@Bf1D6;;RO@G(`4{o%_?3>yx9u1U^jM#wKiqFOl|H(Y6d{ zs1#P|>jRLM&p0hG>$z~`LL+ig%oqe2GWwl`>Me3wjp)v`(mO!zQu!RM5wEo6{$PQ(n1~#8Dw2hu>TXA-F2HDYn;+lJV(OlN*fw z1Aw4wnswzFKIYtokp-q zYr?F7J{=1B2<{^%pq0Shn3SlI;FDQZf=h;uHFa@ZULiEEi=pp`O`=iin+=WCvEaoq z!H1htI(vo6W1?nzaxwaiT^{m&r{V>2zVEpC?Ip-llJRlI*s1(5X7vz)b+^Z5U=5b5 zpK675@xpPmaPvxs3G<9J`jO{Bb_9_%1H#4XSFvl&@Y@9!ybLIGW*TNJj^8}bQRz$x zGpQe`);$nSvQ-MM$w8P(F*cRiVnNH8Wfl84k70{CCr9md zt>rFBmn+p3YO&?FeKqz2WAQWgh>K7$l@MXx18_pd)r-`KNoVp9J%6y)i%%nrapG&g{kCfnB?=}ih} zLqM&?PYBo8-s6U-_xx+;*hK0+s*Uk!A7ZsyklfAQ%e;*yEo3p|3Q6~ge7{lA;El)K za14&W9x0x zt%f@8?3wv>aiLi+ZHMFUD5q!(R*Gsx?m4sFBz}dC8e%$~y7WP>E}XXtD!9Geaf&RT zoUZE}e|YA6C4C5;9z1Gv{}{b^PB63H@O@ zja}cm5t(plC7KSNgS%MYMOvy(vK9>$3c03a@D19SrD9-=V~Mb|R~)lt3ptAjZFw@e zuk!XeHa7Ji+S9OWN()DAqPLov^lKJD9=VB65%FG0gc(@cll32^E$KV;J72PiVJMzf zQJn5Q0R+bA4||9-CEw;aAE!v|?TuK1Q?M9{St19-LP+1yc-8HD>*E2$uYaKuUb%x| zmy&pX4OC|FRE5n<;7=gId9VfCT%_;SGi~>dp=4~KJSEV;e7NcpR~_T8`P4}d1r7sk z`h;@nrrQyg(-C>Ph;t4`0%hGZE~V6LzI9ORx*!@`11)8JPG$n7&$)6rzYZr}Slat& zfjGsM0mK~u_{Sc%*~PF>+~H-Z?#@P;24ycLCV7-MCE^L@F#BVHJwhz3h-V84Tq7q_ zk~p{Q<@=5>n6OBAKBgN*Q;jC7j%?4ZH0UChRmO$NB!7R@IBx*;KCQtuW-CX%wH$dI zj|a#+6OXJtOm>*zHe6qMY-k_;;jJqE8XRjHK4;+^ZITMK<^IE^DOkHSHA z)4USqaLQ(F9BaVIl($IR^Nc3g#rv(})FaHY*Zu?d3=-Vh5Jb%WlU@QtA^IM$HN*Wo%Gm38+z$=%?DwBGq1 zaYKa8s!tv}%IVSSfUR2H__52Xn2WVW@24g#A)aoc5( zl0dq3P^M4gSBwi=JyILMxi&`TXaH3=Qc^%H<b5(V?l zHht;4t+VGUJ4~8Jx=Y!%8@0A&o4ry47)r)}_U9|v*86bQyGed&-x~_YtQ(pNAA9Cp zD?3FyWdZT>Qc(+~VQu-*&=pj&+Ra>cShK;zX4_9njxKYyJufA$1CP`EUqqJX*6;|=d*q}))!J`MCS82 z!+(0oto7vSVN~nUl(Q+_%J)gs@We1)4plBx^|dLZSC~f%ev(f7C0)qPs%(6h=Ra=~ zm$%m+pUlfo9{@dIm7sNd*12h2gK%~nxFy>w>N|ZlWO| z+mM3RdS;$k0=M6Go9Gl|ZXUNTq^=m7T_k<#p*U8X&(p&V3FxxJfsEv8O8IS1MjkX>hWrgi*)TZ+M04Oj(7)w zVyLzG8L4r8iP0&AkA*XKRXS3S+j|wa$bpPjJM5FBZEOMfvdaeZymVc0fWd_8_PPs4 z!jtCaf!Kl--3E1ae&@bSx3pDjVch2t+}kds zbRH#viBA0t=Ckp)9+XltcsmU!j@)HS_R1|dPGU%1IkI>y?<3od;sV)hrU9=7^4-~; z65lg%z3fqbLCyN(4cgW_400@wL_1AYx=v4Ad{LhG7gdV)rdr3AXuR}G2@KbE)FtAa zB!cFrYn?kmD)~53(=xupxq5M>#?8uSU zVcMcxTB_U&SO5%7pRf4FzU|1yU{VJb}iECenkM> zpdK^gc@u8#Hjt%f-Xb`P)p69Wf}$#2X%-y#MvIL1=$Fe+y$eu!RvxR2w>hO*w0=6? zmONoov21TY%}=g6Yzi*IC7-uL(w=Li7;?)vU0u2qqC?8W14#y1rie2XKXg^FT#pmAD;M!aa?h<+`t6SK@62TZAQ67RvcpfRAC(B zap2w*hoh~otdg!<1MweAZtSZHw%9z~+57bvxSvB93icsBg8y;IlFZ6ge;cgFniLA~ zcec_!|Hvcu%LCv8fFPepk$bA|4g8jhLzLMv;+G-}u9uGA5Go&1^&j1jM|vt{e8&+x z)6C6AsEtaP&j!qMmWGU}PXCrB;#G5U+0lk1iK^H4xl6asbS5KfvD+L3B@y;$7_=>= zGYu`7tSzB=K(2sk@d*n?N3NHPkF$(cF`sh3tK(g?10qSQ(B+D4_T7zL}BC3IeW_!de2-+7@_`iFLDMoxPW zVCWxmpjoowN|bf`xUi5l|B_=dCe}D2luss*t~5oeyUh&2PKA*zV8ANk`rlUkYN2IA zfx;~{f$*XE&ixr%k|tJH1GE|7!C9TgIv)>stPCWXoi0*nf53&t{*Md0`V15;83)kH zEx_a}E7Qjac##<;j5znV0&)=xNV+M>nj5Y&V)+*g_uQ!^$`V7yAxuVFhWA79BBISn zEEl^>T0z6LOLEh9=a*8|63%+6sie0+s=PcoUg*({Ky4~k{!UNZU&^BeQb5|W4~d(` zgxt%)E=&6P;o2X@?uRe9M?Xs9=>e^*m`$znlh(1!YZoH!< zx`S9VYAR1;)Dl&^G%*>_Ff@zUpPDsU){9V4skw3N27A00-o@yDy)r>parB_Bp6?Ij zMMOl0IdZbT4NKMQd&e08w=Jq)78v$NLX?b=vx?vGkGajdDulm>z8IU!#JVl$@H^dh zQ&8MgDca&E=oJW3hIQ{4t0Zmi2*9krvd5HAmC29r=x~n}GAy5b{69GFIvlS?M)wRd zQVKH)P`iDX3MHAdOiwfsfQixMf4_yvt2JTh|Fl|DMsd)M=R7@%A}&BS4lj(sH*1xDEckTI^#_iyKm!`L9>c$k)WhuS+ z3z_zQ!qwu{c-N&5g-Nr@TQE#cATU9457go3Kzz}6Bv48E zlb>khuOcjWs8`ylf1Rn|5q1DQjU0P3k<{55USoVs#4?35i#=yz1=W+ECFd=S+ET>F zFa0#H@U`~vgSdmf3I5OY<1=Tg)>ol_034pHlgt=q`={0s=Ihtmk}YVTR1y~r`nu>Q zq+vvopAZ?J$8*F?Xm>Wuu5~GL_cCi!Gr7Mibi1Gxbn4old_}}S)zLYOrZxYo1flOf zMSiA!FDP>WjX0i>_Nmy9dG&ki$Rl`of4s5<#10q&lrJvq4QCbDP=r_W!jP8KT zan%F}krpd|@iBJIar!O%)Z5Ni2IZESodOo2udjm&WD#Rj2>Y!Bf$tK1a$o#fZtEYSFA+$A6j&BS}v5 z(U^RHlU8yh0)JM=K1OHOZ1j(vlHUhJ9sI+z1hZJIm|>)<+`0N~NJD?yrpZm%f&H%< z$|L_pi%3-!e@}qKcgkRKws?K30v)BO^y=yL?OFLz_8K`Eh1efu_*S@}uZFWjTl&QO zow=P?;)C8oOR(U_?z}7dpU6nqwJ$!>buyjbdgp!v0+>B>`mL-o#`U);KiebJP`cL|Wyj}%28er0F zTQHemLB$L4oN%U{%$*sHN7rct-AS(Pe=-K_1X{AX(30T!;^l1IpFSeU8C%$NlUE1kwuDn=i9(M2L2kiFKL_qA!sU6l-g;XtY~Ul z5OB(o_3ER|kNwF$Dw!s{f12|y6v*{=5eDr(PTUJ(D8>CR@JmC$@eimW5GxVSxy_G& zQFhc4@h8OWMGpGu<g5FI`BdLezS~ z62-c*&kH=|$6}Xx_xWe$(yj449%OJYTMqM*_Z-4YRvEJP^PZs@$&%E{F+)!zE3`C^ z8Q+g=;hYiquYaqZiCF56_==GFp`6uy_+fM~hw^yl1 z4l{e|rg8cv9OtOVd#VHcN>}iT41LZByesj7w&|D$H?EAwe>Mtq>F+K39jUh!kp#MO zxT1SwS>YT_f2X`o+3qCH5R9G|hCwshDJgzMDaG^zc7a|4JjF#U&)=fTwOv7_YY+VT7Q`TB0ZCJ^R2HD>?CzSOa+a(U?l3Sr#I!8mB|8LrZUzaIxKtnjbIzvGG&m+f`2)^hEe?^WwLX}D-Vfd*;`>IPh9eEK4zGx zl!=xE{Yt`utk1dzxq1u~RVEQN7#vf}954p}_@Y=)> z7zOQZ8P}&ZaSK49?Pn*s{MUk3>`<`ktG=*0B4*=mXwUDDsnjT(hY}rW##2*%F%t6@ z;{v4sDnc(eXbVc0;KBFsB1M+gcE}nT@^f#5mjaOw(GD-E5LCOyk7zvf>j;z;ZE3S( zl&G+QmA&QeC&H^ zbx0g;`PnzDPt?Xc2GeULLKgkrprcK3Ak2`_i#w4NA%|h>zan%rRYGlbI}`EW83IoT zS#XHy5L6fftFVFiV$XgOK3g8~-}DCVhLx4h&{?G@hL)n|D#o&zh>c0)g1~j9Y;lA~ zB|>m5jB2^(G>k| zU5$kh%89C%aPuS|z9fzIx9khJr4ZirXAW`DU?A!?OU>=5aB>imq`uv9orM$%vAGa__5;0wwMNIiMBVXawlA zy85rdU)hG0wwrSQ0HP&@Lvb%F=Qn8Kp_GioaDlfj3+LKUHkNSQ)%hxPPy~UAz#ROz zVGgUS<59v`-S8ZNnilA%p5JW9PrT1r!%L|Sfh&}W7oD>em(n!SItdCK`Aws5%Tn>? z8d(%4Hr@5gkNA*|@jUxqWR!fjSO!24{-B&q{FfkG_K&js9)qHfdyRh*m9pE_W^rIQp_|G^l@D_xWlK38J=bS(v4|9{yToke`Eijo~j8e#-7aG^)PpSz5YW1j+133g;aFBxNz4HJ9{xB;8y+vPmur9 zx2z%dAs?T6+xsV210Q?YaxnY{e$PM5r`wU*=ToJHUhJaE@JnrlrCVm zBocM|jY+75m-l-Jnx$%&4P*5$jOt3c8sJaB7`JzdCYddp#H30v2L!?~F>3vD8OVQ? zYAXK2yZR3=0$>Br*FcqOegw83<9sfO>~Um^l*(M5jYXzkeqtA3?_CB59!r(3@5Hb$ z6Ld!BTkK?;3paz_{Z}AUi1{|^^QT$myGL}jtcYBq!Y0aJCPpRA`r}WI4T@s_z9VD( z>Zqa+`}jZI#QYmRqcD>}|IFQkQEv0i{{A62C4C%neZ?;c`7WEutldDcTDWuIZoRLR zN*M&~*_;KBSMH&^gQ-4}`kf0nMrV}VmLsW`5pW3=-c1wD>LU_aoVlRg-{3QJNh3}A?)$@q&W~VvLY>y16yUc%+FH6A zg{&E%p`(aizqV8LN3G+KD|4I6%uko`NAJ@wGg0SYdcqo6~H=;b3ssl-8*||s^=bd|ub>o~I`X>otNLiogg|Wx1ge-|RCf&Luh_wW#LCgrwA6`uUS-C+Ome7H9Mn%DErm`p*?(98gJ{d6Vw;&BI z-UO8~3Ki$*8qY$kIgKBv(~h5n~-=y7t53LP6h?E1ndmX|FV^?M7nab)M*f-sEVTf zn?oS%U&$adHOH4c_agKDc6+nhYJl9I|Hg3@%yKjb+PjO0jlnI^D@%x(gq8IJpNWc2 zuMIg|f1e5sTS1@mpU#necpdhB;px3uavkBk-k!&{(N&^Xre5=!4H>vkGms~LLa5{H z1V}dg7O&>;C^`FY%jO7tbiXk9=-c8E`Ng5gbV{Jcb|ek(w+s=(Xbe73y%;a4I;Xpu zx8O-vWOvYQL7z~jw!1ZlZf(6wcj|mQ?$S4|V?md^A$3m|Huw8K=~!EbM~?u%d-I4c z`ha==kowcfhBat?3p1vT!yqpPJW)z4Q=W4TDd{L~?#C2c$4)rQ9(H)zZ`jdaJD6!) zSyotA!8q0E?bmISP@9sIJ{Dje=R1vb;li}w5u%5IgL3sDlq6;?ZNw|)VLbVtYQ3$> zJ#Rj^S;+WM9bY?YVJo~K`Fh>q;{t-~8cXNb&kza7@;}~^X(qQy4jy@^j!Zm7_!5dC znulqgsxL-Fl#g+LQDK$G@Vcb!S(RHa5XqoohpxEE&^vrD1OJmrk~D+_2J-Rd zR7;LUCd%MHq$6we;PiOyYc`#!QDz!o9}9?{QhvoIwLI2RJC_t%jQGc+6I<*|r+d#C zZ!ULD@hBQ@eoAvP{!7CJS2D9KU*bFyRU5N_*ovtcfPdtPgG*LX-kCg2`Q|@MoqT9E zOajRV#Cc0q@z0epT81z&dw!BY``JRw{&xvs|1HLf=kqaN!u-)Y=f?&2<{w`5Il||z z&&z%_EJQVa$U}YYNDzs$gd?TR*H`TW)^ZwLV8t$6d_=fFlO3dOA`HDyC>C3a{pb_F z0Li(6F-PDTSz;}i48BiK{|>VcE^zVNre>@qXe-S4GoTGoiu4Kdqq`hNj<|?Xxq{0} zI0t~Y!cpS!m%ooVS^n)5uu5n1W)#vhC1+v zzK~k?w=Ehr;x=%WAC2v_Uth6YF5~8RYvH}15R}kXTV*pVU4}6sbb=E^hfUcr{(4F- zQqGTfT?z=)yvN9BVt9g7DmT@+_K@atOE}L+@v}RPx5<<+f6O6S#Gnq=CrDA0h0z61 z@%^|i6#Idk{q5n|9Wq||Vv^An;lTgjt+CWqukIYY8GZ+S^dN3?MY0-Ch_NjRZCNj` zZ1+^J)!mF5c9g)Tsnm0x$!(SA@OG+pM5Hj1sxdIuShvo z2)z7n2{f%q=N+!XW(C_lO%s&Cn(vCbVwuD|3nJ#70k|IC37WscRCaNPA-~t8LX(=V zGso`(!Ke{8Jg*WfAkD*zZ0fTnNllh%LU4k#g=OcBOrJ$US9iL^|F!oOU{Nn^--L8a z8AwW_l!P=$iHd*%f`|yHC@NA00@B^x-QBgovP&*38+5k;2x5WlH-Au%=jb`lbKd9u zzU#TZ>)aQxyYrv;&2R3Rx$k=hn8vL5UnhGCh$?aXXiPFrI_H% z?6sC?18!fufSrl6L7Kl#^X90Tk`xLi#13zquAxD~r|`Mq`hwK|pSgy#`dZc(c$H~Y_} zvb#sPXkJ^J_;5KpiYp>jnu+6j9*Gsllj_hhOE&_&-a~snvk6{kzEiGm6z9j4$8mI6 zB4NTy!8qUk6Kt!!-rbqs_C8rozx!ff+QmjcUzUsBIwy(O9BR&w@n5?1-j6ZK9F@){)Va0f%JE*|xlvp6 zm5nO2(?$q7*%F0e|5$V+JL4fQmu9=o1gQdYA!}a4=6KZ2YPS24(Vt@Q@DP=dc9wz% zH=VumRc+rMa@WK>mqxa}B|39~0a=!L?c9pLVY{mvrNzU-%WPEw(K3}KtfP99H~a!J za=d&irN!5*yYX`Lajw03Q`AvX_ReCWAX&cgG(|~lad>QQxL%`5S^U+h>su^|3EV;!9cxdu zSi)|g_ny%*_RDzEJ6QE9>I|dq!q%z5SZY(=v@A2l%^9}rwfe=O*0aLnE>|aF11^oX zPl_JYe*1J!VrPdB_v^Tb4R4L~wwGp?4pYSEj+ZVRx^K3Rb%|=!&`sj3z|5zdAPqJP ziqEI3j;l6Qkoqn#wFYEXiY#mf-hEqqdCI$KuavFxyVy%dn)0Nbk_v7wK7W-j zSaMonU?ARVkJjo!^6DN^jIb*4$ETBSr>cCS5NDJ_a+hQKEU4t8?u)aM1zspV8g5M_ zeZK7q4TfX{UUUXcp?^zKWA~iUu^U1IFI4)oNa34bL{TJmjZ@0crZoNIan=H=<;sJD zLvhT~LG*JcuPnyqC4ccZWc_fC1efH6}T8;Y!!}t?tB^@}qGKcH~q{BCoPvwP7u9!YI@| zT)~Z$&iA$N72#}QVoli(K2t2_+rCIJM%G>+PglRdo}Y8=?(z+_Eiv(;TwU_kxmAe} z^NP{NgaF=(_}tL@5+y7z7ayY$jOPpr-cP6yp<55yg)}c_Kaf)^d-tE+BMOrsc041g9IZ-jsJTwW>uex` z|8P531wqR|#&0eTr^iR(Y;Khgkvf!dC7F@9sioDYW3GIQj> zqtN2FF(Qi*9K?1x0%1Zk4<+}Ix^Y{5ShFG#=t;c8MVOw`H?SgJ!YX>BOX*e*xfDQ&X=MEJoi1ZDF2HDpK~+k5s3prg?xlw z9=h6{ABV^Eu6jR`8+{f&Z#EY7|9Mq4L_HZ!SwJ$BXY zC%P7R$-cU7U(1J+7u7HnCmy=y4a?I|jV+ocTGZc}duUCm##@&MPE(22-X1s@s768E ziC$6-aThaPdVEBNad)FrmBeUsv%w%owprxSsa^i=%BgvWnVyxnj!=D$ABc{R{UnYO z=sV$Z!P`ms8oi0`C%NFyw;!+SY@QZ8p+=TDQ)^rIL8_!_Oy5v6eY}LYF|*-dRsJ*k zeTrv=_)N^<$A;gFVUE@DIp55tFDxp*X%~H6{(uoFjpa4-hoJ%Ek8*ZVF$BOIN6Chr zX|8VgOg9j(5cWo`7!yD=t_$B?qaFI?Eq8d5vg&lB=3RJAvnRr8Tos(++k z5IK}|2F-wL_T(Hb3>qT|wW!wgIW5YeJmeqf!9h`Z+@CKu=F%n8cg|d$mdC_(F9wvp z7CmIVZr!@j+bSCSy1y-Q{3VT)dJc?9HpycnqtnTGve1@tzh`=!-i3aa!bG}P8wA~Z z&8}vb5TB_&E`K_rwUkD>|6xrEr&^`?qj#6)Wm9uXZmZtl=;%2aRBB82rEg!P=;>zW zn~tj@W21aZhc-q$ub!;+^zPrQO*P<=^4gM)?!}yck;uM#lr$HtI(0pc;@a3tsVhV5 zMWoJ!Y~*UE)W=eYT_`Y)J%4XK1vw3bw@6+m`!t+6o*&lqypQR*iZe@NuTasuH3kB< ziO=M>!l`9pH@&W+0vEy*Sl;SNziNXYzyCaY!%Mx=xQGc=eLY! zjqgR-e5Ndbxl~A5u3Vj=&noBPwQ0#-xny^@fL%)WCJ8LS>2~{!YL+Sas*aO0WdoY< z5kopEdv7=0sxIc_Za0%mtO+x?8e#hUp83%8RPD26#^)PX&Z^z(e{0>#>p{AF#y`a& zw%}e9OB*LqgM|cotfr>>ur$fXAz3p!)5ngw8QeOaUKM580dZ@Km**$R>DsK&HaJOQ zjQs{j<%zm}niK3CclLbH6Zq6qIE|v+L#cK6`oi=)Ux5SV(e-vy3IR+Vqj{i&%P#kG ztq%pM1S;Xg$BolkC8ir1DmTEk2qP$q{dedsq=7mPvU~KuoCd z^dV1zf)9LRxHECxcq{)o^apnmcCK;q*D2^Jk(BB6OF5Wgf?X@0&uNYc@*j6|bjjXd zn02Jea)@ut$mhM_Uf6Rp0-`r3BCT<+CgRCVCrk76aVFYoyqYhsi_)f>3NJRYvT(j#|mKeI9?p+#$M zYCUcFQsy%?m(P`g^_P4`Sv3vPFirCPE?CTz(HN$~+4sdL_?7eFagqfAd1=O;rHfu>l&FFt^8;4%Vx_P?vL8Z@c|2bvD733r8#zo&Xyh7eAPU8lt zPCK&0sfUnHoKk5-hEPn_(B=kBT}A0StII-_%m+q+U%=J;~LGn&Cl!%x7;iTo_Hl4DA$^XeN;oVUFbvyao_XJa1p7Socu z%Vqzj&t;x$!Q zm(@ZqTm%z0tkG07$4>Tr;c<5uwYhl4Nu86vlkJxe^~ny!A!x}Sbu|Wuj-)iF97o!& z$6faI4&>6=sKIO&AEsRIO+MQ<=DbC>=uwr7Q2oGsdYHYSg34Ux!m3L5psUZlxii%Q zeCh;lw>B}w#ho0{PL1)#bg@iF)C#keOuODTPCww{e|+HP>nRy)`-CJK{c=nW*?aUu zaQlCO+RTWpW%EiI=FznIof%Eh^HLV;MYxe&3mNL~cCoNXEpPPp zd42n?{rS^8hlsx1Lb6FEQMuRB#QDEwY5>1Zx>lGI{rZK;uJ%~iHNiec{T3Tkalm<3 z&zY=?8LVC9oaaAien#IcI)SXM4Y#p2dLF39D%~EEb!PR1hDUQeVaJB^tsdVdD-Vrv zmuv4YprrGj)b>7sACYW-wLV;1QeKy*a*KLX2+?g0{#cFOi0W1TJaNR!bjQp|Wk!M3 zGA#cyC6?fMbA?jGAgbbl(NVH;Y#*p>>Kn zG9)~MZXO{RnPZEPA(<^RNbp(8DS7Y4`*MT3vPggVu5f|HMx43&8{%hg+#f{?^E!=N zOL<0*b+uY>T!mRXa38yS^>UfzV(>s<+%D4BN1wtXH}}aioGZ2BaJ}_Jo4j&EmIcMz z%{^Jn0yitKbf%vjhbMXk^k@)JTRw-ux>uO^_O1GkJTBd@$`p&iL~^DRTpPK%pF}7| zOVxS8hOYK_{ZzqTx(8>|w5}0LtyrWD5NRNS^v;QrXK`9su^Edv9JS*)&+Q(1_VJO+ zI;#vdffn8jYHvA{FJ5W8=EG)TWmrMSL59b#2sdAo<9|P!+r*S2H*JF)OPH*uUQ}W) zNxev4XE1&Ju{ln$fZV#8NZY$|Y~wTGo2kaI^XzkJ=U69F?&*lI?L8o%Y2{ne^Xv;X z*?Ox3WzZrMKkut-6_~(7)Gld<$~VWe*=kJqXxL9AFqU4^*0N50s?#hFKRt4O;&jdD zW7pm9*{D)=y6}yM>Fj>CxJqZ#q_$cT8C||0{BT~glEd$*q(}YI=9e`r{J%_E|I4Hs zNKX&+v%9OStFxn{y&Z{YgTq@}nqjb}#>R$*hI&ZAYhz;*thu?R72bwGAlo}SIy*s$ zZRzZU3L=pRL>njy|JFtDwyh1yjBNj1_MH--$aeu1K$QUycsve^=|}hV_4cBAy1P2t zk!`KbO$~L`mF1Kw%y;>))pYGa0IfWtEaCYgToI1M{aO%AT1#( zEXd#2$J^V-$Jfu#54`hy=z7oD(ZRvN>CSyO4=*3TfS{1D$mqDll(fv8JOB!6p}f3e zTR^)I?!4UWtjr7`nb|q{g(YPbRn^s16=lT*Ia%px=^5GirBw~B$SxGZeVtZaTYqdi(kX1O^2MhlGZOhet$4MaRU%#>FQjCMBn&Bqt@rMn{B& zf@hJjiK!VmdHMNyd3pIoWwkAxnBj@3sqtZKA5f6~!HM}N&(@!>tv*?tofyJ&wN&LN zhkM^Tr`}&4@9*yF6&#b2k)9atWox9Ze%#R7(cR;|t+DE1E;i1?8rD8ZmA&(u#N?FZ z#P3$;Cnn}r-|eDdX6F}I)G@hw$I~weKm*94qNAfCBf^3M{k%QhUEMu>gCgToGqSQW zQj-!AlQVJ)iwm<8f*)9)GqVrQflq7@?Ak?4@b1<6^1^t3OL2nlWp#eq7azQA6RAEJ znDTj~=I5j)rd8kx*p)Bd^Y*%PUj6_%F|DA!XL9|(Dk0Tw7A6|P1$e60#goVN%xvuM zdjurZ%u*jVaP*Iei4OB~wKdbzItK1Jn%mxS_w;<|a>x1JL!aP?*o1`G@Bj}78!Jm| ztMl4IMCHdHzjb(`;9J-^Hvj1H)77S*dSn*x#XW-i<(;9{6t7hN=ZdYO1QbYFfq{A)z#D64X-LJK|W)Y z(7kAVUQ>`_FvH!_#yh^GrEhq0dU|qlZsi>rBahSxD;K|@KyUkVY7)YSBxR-esZh6P z%#n7FBphPPki$=2zkfB;5@*KR<1IzpY1OMi*Y%T?8Twr zg8JT#eH!+GaXAh6B&DFFre|ViprWANFLXpoct7Q*O#-St2L*U`KS`iD z!@t$%(y>KOLHuf}y(~Q`y||%s^fjHJ#syouYZvs?qy+ZSkPz)6BYoE&DbO%@eN`>6 z485@W7+>;`uSKbRIVJ2ln@lNkYO&M*qlkW3&@GyDoRrL+DqEKGE}rZcqOKNIw*o}9@irCb_3|GpQqFf-r9GvW%V&3mrYPt4p)11Y{(;sCf6h$iE-d@rC>? zrZmn~g`~#Cz_T!evR(7-#4U|z=b~6*>k=7#?+HHTgIh1S3>^I8i)xyO37MD)2O26; zFLvLv4ZVHJ=c$rsc#xNGc<{*>YQcxPK{i{x922?`k-C%di-Ou`ZbTH71h9(Hw+efR z?ImDtd>lxBBUVs$sAa!U{>T_+j&wga2Rk?4K~9c?hh^j>1-Q6)*eF)|tHMo=9O9-S zVPsi!SBmbRd$RSkHfNEU8Vi&ON#3I5mtI(ulbT*V^mHH~zEW64O`61Uu1F`oC^ro( zGg*1%^$n%*J|Rt?SlJke7P1}>nTXj}GSE_%k@1MiiOycW)AWRiIhl5qV!cs2rBBG% z$u}~i1~vPZf@u%yem=>gk^Kg(rfmqKdR$8R^*#uq4-*-lx+j)X*pvg&7&2TzvNOEfEC`J@cOZypp2S zWjw56hNn&ioaa7jedfU1$r08YK^G_oaRo-!7@iBkd9eQ3*E=h{oT|EpriPlbs-A(4 z++jX0ZtlHQ1k2sEjrB!k&9LIssHoiPyx==mZusb2$Vt{Qq=?{g5+=GTAm|Zu#70k? zS2G4RHG=Cy_DnC&jLbcIGCA?+#nuNRu%(dE?m56EEFpGS_LvN9jcOJ)!lD6@5tCP( znvhjk0q=q3B_(7x^)wfkG<6NEkTA0Gh#ZlXKX&r0iP?n<#(L+Ei7*h5u&d}Eq1{D6 zPD=6&`;?06S$Az+J1ojRw6Gk842%g|m6Q@=eXDD>FXWbLP*q-HeieL$l45gVa_%(= zIT-~N`7SaVIvQHWJ^MKY4ok|&DQcY3*FSAws3WwiFGf)&WpZiy1rY%OB_llrDcP>g z#Wm`^^n~xX*56QZODP}II%QyDX>-Hg-r<4gott`Uifa0n*G(jO6pYRp>+ye~Q_|eO zh+iXkGmKjLIG*Spl$;mIc6r1sC_1mm&#H`&sK0gMH6;h{UV2(;hW%XJynH-7{K6t4 zha`_GC@5>5G&q0R*7mB+&1>dnrbmg|vW*JHLZ^rrd4vufQB+lt6Xn{smrGPuN=#IM zVj_d?o|M#k=x%O)S?2L5zo8O6IrYX81yKrF zbOdrwGJa)Z{NsCU2e!x|g?Qf+5!o z_aAzA`TBTyc{<;^s!rC@)|+(PbCq8~RqNzQ{qyGMPHCPrxpdXu+3B{m$;F#@+&tVp zfaMh&77`v6aLd>rFsGy-GbJV7-_gteB0u-x11o*JKA{Hu{LD0rQNlvbd(K`_VkORG z@?3g>Dyw=bWM(G1U+bZd)8)&zoNwDY-3KO{o4bdHho_gPhliK9kAHA@baZrVOn8vL z*B#qSnk;JsqR z8_#fGtE+yI;lSvM0Zm88#sZ@(5}0NHNJ3I_YG!77Qfy>ckeB@(PfH;V0jg1ILw6TP z7f&DWJGTQ;3n25cqNFe{BQ-fOF)1lAAt5Cdm|w{m=~0pK2}xO{6~%=Gxxi8`D@!l! zEWD(A?XEU2%TUE)Dh-{`=9;qh1mhLTODlU1DqG$64-fGViU{@&&CCOaX#uca3k!kFfTJTAu=@Z;eB6!FCQ08esxFxApgLKh@ha@oQnF!rl$J3+N$yr z$j;5l2KG5HBMWje3X0R?(hD1!%1diu4P^zzrKQ;kW!O<<VUs!T_T1r}OQ3Y^0ApZlhgX`-cW4@}QqOzh482rE!D9TAsj*klU z^LXeTnwsKaV&@YOm6Vd5mzm$t)(VHWK;}Gf8fq%a%1Vlhfk9qcS_JIJjD+NthUTV{ zywbXcnu^Nu{EY18{?Qdo;0+Jo_{6w6EHe2(@dD-w1?D7;SZs*Be{^7Yc4>8OT?+!y z-U0j^;E(_(1AGCO0oDXssBZv0uc<7_%Sua*4G#|R@d-?;O1bS8my}&y--LiSck}=! z2ieit4mlak&5gA+)s`wd$nezs zFtV&Db%W7v?`Q`Di5wao8XcRRpPt0y zX2*MmS65yVy`5iv)Y$Um>C%&NGzx{Ao#{cq;i$pkp2nhtgyMEo7k&^s04f|F8yf|9 zAw&SvAgCVlaeD!z?shQlO?5TZ6+pF1i@{_oscG!OHiXzE<41Z2#>U402LmI+12|~3 zdr_bSG;{zIc5Y^TVtjV}>67WXjpvW1hi6{D-&&e|)tiR`E%gEYz>N(x!{Bfn=zm8| zX?YC-gTvy`=%KOEiHY&?QHY)4k&zvO2Jzd7P(7U;U;?!?H#ao_&8V*fa}eH%#^X`h z(be@;=!vPxu`wJLFf@S2f^qBb1H^)IJ-z*t>(3sqEI(ggTYa>$GKN7ERb%=m1}g_A zYLGa5e|u*q1~)X)P>&xT!s7-oZH=w<)m`|Zaa`Zn_~_)=$Ov$^hlhd7Jp{222~dju zKB%vtvmmMrTy@~ABRac#QT=%Q%xDL)BEPa>U}kiBW@>tD7!)7CV)4Lp$Kt?n#Fh#YO4@+ZaE86lS4o`vAx*A(P>x_Y79RxfF0>;>1wX*92^9s zOiWHp0!#oWzyk0LLty}r2^urdTU1YPPfrgBRdj;zL{B#g)z^mx%>tdnp<(5i>5);u z&*%u43xk6=5X}H32fzpnk6@5+WP2~Nt+A}Ey0NLYqO7j2Hq9uY2b#b=9bgXOaU*?* z9y}I5fF0=T89;YnhVb|i9BO!Wd~|GhWE6}QB%ofXS|AW0pr$}8`cNnkIDld(08?)d z3d9RgeYlZ+1hNO$Sy9uD#te)N;vj~wAhfYf??6v&Sq-eM8P-r!oRMEsRa8(5Z%Ddu zueh$IyBFOD)Mo&UM1MPaWDpS42WAzne*lXa#kS+8f#Qvi4+E7R1vI$PkqeH}#w-Kbum(wM=S+1aVlk+JPb4=vMR_5#HLwQdg+*q%DtTAIO5 z3l^eMuz6%)LaV4?4W(1Q&S3@ri-EfU!VreNzin1cGd8DT$B?C(*HZ44L0M(9ycOyH%`q|aj*VWqr76t$X zY<^(dfY&y*B0HKYYa2lPtqzu+2{y~l4lo%|ecQ7a4Srz2ZiB~lf~f(PiXPm^(C9F# zwz#OGZv;04lp3tkU?GC0J3s^m0L*x3+iyn#wXUM79EL}gq*irxfW;d^1eWpMzHLB2`!SdS zd|!7z2CS@LzXIQwK3HLG9~dj}9{K@PdJw>cHUXg0y+9i}KwuOYNOg6UMSs7_5 zN%2Wxp+Wac@knHMZ&xQ0-ix1{#e$s+u+!24;ke2Ap;a2ZLW&Ir84EV= z9%xGfLjdqpRh1SLWM-zs$A?CS28WvZ^^6a6BEdAoO^gqA!IJq091bRXO;tr{QC@m#d{mTwaENcjeI>(`vDseGx7o#! zp4y6LcuP|)V5S7pveXn{gGXk-y3vCJpenG!b|TR&WeqJb5DkYlx4=Pw7z%zvF=L=_ z$nJg+b)8@P^kQs!y1f-_&Op<8!JGptIv^1PzR~@V0)hPkgtCFP)l^qiSyEh(osk6W zX@4I-5d1WpS&f{UpPU7&MSo9IExe_%5wh+H6dL1`w!kM{XNEonW3q;qh+3 zVpliVND=KoM}axoP*qu3T%4Vm9vc@H5a{add*3(oF8z8SZu!;x&>*UP|5wiZlxc3wTOUBF=G7l8P2K~X_rVIc^4gO}1~?83&Y zmoHzxezmnW+TC0aogXyAnqW=9X8@E!d_qbC%ngX)#zxSIijo4L%_&haq5l3Z4_#f{ zT~nMR55g9njE_#h^71R{K-|2fC^sh~EiEB2COp&+WQ%V=;I^0C-uebqS6Oj+9&lcO z!3kz4h#Z4JcT#e4a%yT?ek}q!HaR^uG_|y{x-{4f4Dp(p$|@j``2~&zs;cX1Yk_A_ zQC?XA*sUll2mV7rPI^jWbYxI~m#fEBS1+?LyC9)jB$(pO*@-#j<;A51xw+{XX~`*Z z@lip(-oBnrAz3A@SX?{22VPMLYpp5D&rVN@i;0W?0r+qb>JA4EBnWs%#-tY%R5rJ@ zHo$rZMn`d7^}s7AE(X5S_7O)`W)^hFkp~?eWMzR959kYWuQJn96962)0FMVAHaBc+ zLJn)H=ceZ6$Arg2&(kuJ6O-c;6JlZ`BEkbaAGkkoaPkOFYiP?&EUg9}T3$|CYGPDG zSRizk0f~<{aK=5sIfj3DY;*!}qEd5eJNkM$5f%9*`B~5bMGEkK8Xgi7 z91!3KPEPLJxpw8QcX(2GSaxn&T5?=mbYy6NpSOpLqrJmz2M0R`2Yb7lx9lA6-S_nO z@ePIOipwskZmCa+&CX5+ejng5JTy2kC@3(%A3Bl&{qXYi@&YFv{sDo(z&#HN@b`3c zx#{R+apm$U>(i60{ywfjZuflyBZB<{y}kW_^X~?VczZp3U}JOT@^xE#m)o`;0TGF@ zU;*{__x5miyKi^h#`4l7bMp)5&zqQ-nt<<%me+6F-g0rf=j`O_6P})*5D=A_6dfH7 z4lE!ly*ym+-M!-k4ufmPO?DNpu!|}e8;wA&^&(njL}&`lXC{A&zM@d1P9!-4~Ys24D^2J=JMcyv%^gr zYm18)%`aRqJ8x=ic-G*wo}Qkev8jcHrH%E)i>Bv{&KRCLuBWDcp1p|C@{-LB6YE=7 zZ(h4-eet}-c@s0JyO!n`E!0(1lvT8JjVx?#*xj-PRa#h@o0uBu>*;E1s2@{RR+N>N zk_6E=F>&!DGIC0)N(u^!N~)@AdY8=fEbhCxdfdHXXJ>uE;)=DI(OG>x1Ks1=TI%Ym zN+9wir>Lr_rJ;3PM^{%z=Y*E(vE!=pM-R(sQnm=(wldJy&@nbPI-`5~xW;j9b?{G& z)YP@rRW06xrOl-?Cr+L@drDhNO+`&fR#xVSxbVS)yu5q@f`=uKNXbY` zgCxl#lH!L )4m)Iy}H8oT`%q6I(3fdAAJuJW{#Lp)zEFdhz%S!;{3o$u0Gdmai zUS>u{23l$=3Ni{h=Dqv(vF_Qshn0nqfq|ZmmX3ZmAD+xQ+(la#FOT~VJbi=XG72j} z1Omi(n%kkHXw3NhqqWWV9|=h)=@=MxGqJKA*t_olGw}zq-OQ}4%nUSSL?7P1eY3H? z{%mFW>FSI3pT7_g5`6yf;oauTSDRY|R77#H1SpD^gOd}u@p)`>Lq%3bUS4KKW->U_ zvo*FJ$KzKCNytb(zInSbzf43$wl#_F$M)f#5q?^lctW)M0Jn&Wp`|TYf$SY`J9~%5 zWtPJ_(8E(RvrFr5J`(LBp`f9qA|-hHo`9Hm7xCve&sXL~@W5@v0*@P*kHA_R8U!Z6 z{QTVX#Kb5X|9H%+j~BL%tEsQfEhvujbam2|R?#{tCU%gKo@TwX*SETFdW*xzgv!C; zwVaicIcH~fKN*j*iMa|p4MFXG1>&W9$o2Oh2#82&8Fw>rh$`yYdIp3gWEU2f)il9@ z9ny^-8v|zR*x2~Q2&TIo(E_3yC3#@W$jrzBYkgixHSjQM>VV~1*VfV8j2)`*k8HzL zCq##P*yxE+tv8+fLQd!-QP+L)uGI%cl&g`r*wyItXrG5(AsLm``QcZk`DL{=lun&H zwueFfhRgM{8j|druAe1y8P5BK#g$@SQ0x@*vs8KJlr0*c?X6^#esNbN;-%tCZ|TYdqgEidE4u8uVzb~pt$NR z_mN81{(_-PWL#8ez$veoq?F8p{5VHNHag-*UC6Pumrth0aLvj7Nh4Hj`8sKe$8ggr+rKCFG=WjQ@&dmpBO{8 zv@WpFbBTe)Mova#58-rYU13U8fa_JuyCDg&0q(wurS&yMDWP8XoUWhdeO={yl7Aly z`Ak_#PKH^~iQVbci4~k7ZuHdmqr?0|<04$lbR}l+pU#B6R5X#mGe>4JNO10Ay_(&D z9hzMJOwG*7KugcEhnbdey2687Khw60TE^NhCN;mlryo(8o}7}JS>ClsaMH-q*6!9d zOA}oUWn~qmqv8TQ2Zf~+6{QaeODG&WrYIvRE+))Lw~4RMO9;4qR&L*XgtlP_2o5(b z5E5bJgvb6$1`&K+7C;9<*nSV7y9D=cUAc7W@{KzlzJZ}J=~d{bUq}d7y0iT5fd3fSH?zDB7U$P5*B;MJ zPtPtaEpL3>MNUEbd2M!V1jK|^I-XQlf1Xk>Wq)h=p=-O&C;3%+RS7?}33aq{r-gQM32`}XZ; z1OEwN*YgQ<7YaWXB#tv`AZ%BBEx08*n zM|6IDOJiwzY;;n7ExZHKSeh9JPIuzc3o09t{T#f)60!7S*;Q+CbC-+#75GUMH-srlGBOaCE4z zr7Sx&vkW=@f*9Np*?$Neq=`w&9FJU*0Uw4EA=wTUroZn9;c> z&(>BJC-A6tWG8xfdg<}v6uz^ms;s=GrDt&F@w4Y^kEi-u%Cb^3O55iM=-CBCB_za@ z!7SgVRPW4LLn9+#*Xfg(!gswv8d z3vx13etd*S)KykDbq>rw{|E-2oD2;8r>z&Ok7maQ`@2C<3f_(yn0oT!{TG5yZ&s#p zoggaI+C4D+_}SX>EFMvj5gQ(rTHf=RcsHkrl)REMpaqDsikiA6#DG3%8Nf0&Ha>R_ zn9PuvoHI58=YIweH+p)f0XS(CQNr*nbd%Xcnk(Jf;ms`MU zp`hK(x}Wo)fQYDs6wuA1ib`O>RDeOO2AYG+*lhtOJR~4t2go*>9ob1yQ&m+_24lLd z+Tx;zgoOn7c@Oe%b8&KTuNI7sK=;ekvAE<`H;qP)owL`1nZvrhvO5jvxM}BPmTfsj^ z^wX1HH~RHX@=p(;;((lQSO5;NQg4F;FCZ`p$se2ex$i$R*Q%_zbKm*{QEn$X}$lkeN;{V;^vJ=+GWxRd{TCzavb&>#iae*Qxt__l_EWayj= z-~pMwkI`2wKfe6P+gDWEFWU+ZHLwlfn|vkYdzHUqeW#n-O@sb?g#;jMR|Y-;l;5C0 z<$eL?J5M|HZkODa?Kgm(6NQ)+>_3o6~_>(Awf>bKeWp7&cZ2;*-x{0W*JihtD##JV!T112+A zt^QpoJI(x{BfqNpPr3OGTHe1n>ao75r=g)8ucB(jVIR4~FZvnjiq%>-_d!`5)=P zzfZxx%BlQyUx0}E?+|D;hJz{c-+|^I6#vBxfS|=c@(%<5Fz^op|1j_m1OG7a4+H-b z2L2Oo?APu6r-sRYoALV(o?nmix77bKe*X6r`mekHub%#w(X$iM`B$L-A3pzwpT8vg zU#j!}WB&ds-1j~3^>4rV%dY=B4|f7vJD~m$rTn)+{G9QRE&ssrA2Wlj-;<#CP-yFq zdA@)C7MlJZq~3W00zN+mt^cg}cT`_>;?MH^F8$Ag>7dD->m)mGwxK|`OTG!X7WDPg zztzzHBoox)R}_kh3NS@*wDGT{wN>snl>d`fe_aM(*>3;)@fLUwqH#aSAE50#*-rfW zH<;vqU~iknpIiFQ?ynwx&;IQc^82yWPSZag_x&E)A3uGAx&y35QL&}9MNvty`M1%9 zs0XRwa0`MDU7YzfG$<81RQqEK(C1&CKK>%{x3a%c2;!VS5V)QGLla-~?ZAgvRZ>(? z1RanEh`(k0MMHlt>1%s`QRr8lhR)x9knJpgQN{n|M?WC^pSSeWMTXy1^^1!R|MRAP zD!F}+0{RWK-^)(EKc@ct`KS8+qlBO9|C=elwf@JuA%7Rw-)#6#vVU(CJpa20e#rkP zwg27Z-y!%`_}8%h8tvb0_)qfxy6K-%{~9UuE1mzV@>BaiCj6nLUo!f?ist|8%Ki_3 zh2mCtUd)?yJ0yzRfVI`l(KT2(My_to=#i`29Nnx~xj4F6IT&$tvto3tX4DzoR`)vk z{e6u0{tC|@&wV}D{X9PY|6<0OG})w9V`KX|W8a#FzGG*d9Y#5m;MOr{>o-;%&KMMA zM4xr>HAgp!kOGCCZERXkb?D%hsRTy3T3VL2OV#@Pv(OmT;cM&|);N8e& z!q-Bk*G&bYyK|?|0n{G8Y7hni0wPPICD2 zX3$1Js@-R~y(dCeu~Ts_?H%aJ1|K<+8O<3<&ROn|#&Y0|@|#trirH&i8h98fQ1RmE z;&PC4Z5CZ90>yCBIPFA?K-ai5wDzTbu@6cGl}5;F16$Qs`BP^ZOh}nGXiQ|ypxkDz zeP~6gU}m0Nt6tTw%mLcQd*Hl;LE^V}(`I*5;)qVYic4yVrc?Qsp~nix`Kl_@Dv{i* zV4}wdFOw=`5H!qOoJoomZ^Kb0dX``n4p(DgeorvG7g|DR=#FE2U%&moYxD)Z-qS{GHc&WFV_!>3aN-rOGw7#*xo>PCm_^SDos#;V)9` zNTi&>v(sf$WewUc3SSZ%4_SPUfoCaJB)d#8$5!hUy6sN>mM(~ccN!9x#iy@aFft2@ z#J2wBphqKSJ}3LFvhNbSPXO~)L0+j5;|8mOXlSK{ds4E^DFeJ!CaJhZ=hAOjvt#*e z*^*f@#o4bUIaH5#2URfNm?y^N?(SJNUh>;SWc=AV-*;ysiQh{Xdc*2of*J6N5s2A= zfGb6d4VhDK+Z|m?!i$ ziXjtoTf)*!p~-r0(2jo4pKvQp^;&}Us=RPqY7VCj$9-EK3HVAX8*LPqkCsrK57!ya zkgh%cIFblkWU58OqsL^Si(yF48X+@~f^aAK$}@~B|qH5|B| zk)qClvmUXL<`^0JrOzj>EJ|CGgzGhUbg`C7@m|y&r+4++@}dy>NS}lcbmft zNG`;H?N-tizZ$gH^G}D4*n3`aCWss8>!>`zLdD6xuBS<^NH5Q z3G6ZMN@^>86zm!ZNV_W*-x)Im3emx!zsMjgs09T5aJRY zU^rZb_4d@kq2?&FFzlGwW&hlbl3OvtEAu07ayo!^tWE zNRilN|7*?eWvQP>hJw*mcr3a*TV<}vS{ss{#8u{my6Il$ly1RT#Eg_@!lW4V;+e*G z^V2b_OI>Eteio%TBb!OGKGi&!BqCDmvXijJdVk*wF;c}RwulW5cRatm3v%WMv zf+|F3VYCREy`w$jHbB0CVF&sFvE*jG`}-S6@29iWF#v0D6n$FE956GUnRg)~>t<~E z-HU%{J}|Ju&Ooioxg#P(j+JO|W4D~6h07Z}u8euHR6#4JvsOpn(ab5O`u=rRZ+)s3 z1c}T$^>%T9=08&fp_jRYqKl6gzW$zyDw%Nh%k5~0cTtLpJ(`@rX?1ZWnJ#zID_2%b zyABU8pLuJT`TU|~N~>#CA>PB7pU_5A(G4N$y|)X@iSq(Y+P23fZoLL2k={<$ZR!r? zC%4hZGBHbpx$`7*nluZsRk6hJnxm~j94cN zv&a0E=_(qibv;FtXc=ZW#(cw`P{9Xl<=6#i|VxtM#ufDK(NKb>Z_y8o! zhJ7WxT0_8kVPoN*EyP~lX)_s$_!Ek#ur^qb|~eatwch5V<`+Ev7Hwy-J7n_~er zd<3iT@lXtlIt5DOp`2DY71x|{88WO_vh3FIk1$1kkhLU6@OXDM`HEVjCq08#r{U3# z$Z;J-30)k1=>guMFl$RLm~5H`%!gA!%`xh1k}-cCpXKPYP%;^ht6^aB-n^++#1-OD z(R(HM+LgrEJEqs zinI;edI_;qPG+u2<@_x-KDqVOZ|-4le1C*z{B4Hq5F>)3j=5O26>kC)6q+qJ?{JGM-zXGD-~*4<3cH zr>|Fn!GbAH%T8S>4_bJf20ni>=veA%D+RJpRZwfA4APHO3?7ZlR;|5TOtgqZM$B>@ zil#a?p2zq`?gm@nBd2uyzM%mvhA*t~d`+Fv!_$d_uA~SN|JS5@9xCOpGO4=9=EZJn zJ#@d9eJi7H0le1=G@+$@F`Eer$zJc5J* z3th-@s0LFOQHw4aJ1*EYlYRKg*}$2(qMg6kLyOgyDY@+oOjEiMIf`a^A!aL-N{xpS z?uX=c)C}ticAN2S0cz(K!>fKf30D9eFgR+?ldF4Eu(ddff5kI{%Uf+}B@_ydEfg5$ zm3n~33R|w&6lQ1&0j65w{+i+n$@e}E)-?MmPI5W^?IB}$`8f`pOM5oC*J~Icuei`_ z!*6}TRkgw+YQE=X&oa10`K@ebE5IGwRqYM%d<~U;v*e+hn`!sF#yI>iIDn|$G+K(! z->)5Rogmy54lNAtR{jI`8^JDfB<6sy*9OP8QStV|3r?vmvbS;!IgtY1clC~$BmmI4 zPegHE7Yxou426U%j~sT^s9CXIs|7Mb)Z zrI@Jd>GFu~d?$1s^Ml!#;wUOLk%SBzHNsW|G~R)#OH@q{FGJ?D@{QKA7Z+fce)X#H z5qyjKv^Wn z5fPG&2k9n)1e^Y)I*B~$4R5)}MgzV}Uw(bs8&g?ZqPZiI?EH` zVRG)TO1S_#)_OB)?Y*+}N?BUCVcMZjl$5@C*(eak*t`O_%XQxFS)0q|{KgMPp{?5z zee-(9cLRa~EBQkezt`)iaBkrvL-M>J&O;p10)44#R7Zo&^-?}(OVd`tN#QXpQlIC^#ofK$(Pag#%T{(%KxXDnVuG4ids2kB1iskA8_UW((|CSDRu1IML`*uCg?&Wb= zG+%`lbhwKo?_)j%@kEhiM;Py1&_mBi=8nq{y!dtZ6Ttu#tH_shDiwrIXX%VN!R#rO&}&f$u-3L= zibz@R7Jdd(#;E3Qt@Pj>2S4sDWW72p$IRk0N}RS8CAMj#_C00LxR%h%ZH#)TTE5-A zR&Vm&GEFlG3~IRz)ml*qixf>qFxO~Zu3Hi?^D^Z|n#$uj{GKL%jLik3iEnGxJdrQb zIf&A66h~@t0~!`ne``%2b8`d?ym49Iy-ukRIV_}%i`Kx z<}&I_0%;hwc_wE1)|gTaLn38Bu{p6t+6pr-?`~X>gcN^xSi6!RXC-9w-m5ZB_ZTXM5?YqQx<|< zlNh!V0^W{Fbvw6=`%j|JP;E2aO^lceiWu>TwI_ZW`S|HL_c!Lm{vJ{P{C#^ugLg(u zKhjD)e@&4U5g&J~HLU2w7fP2T=rE%`9ri! zTBsSk(EaFcNMwDF90_88?Bu}FST2!rn(>bg9Q5^~Z$UCBy3O__+yuk`3!K!7)>++V z%BBw@z~9NL5}{Qm{F|CaRVHQ*z7nTcY1^?m2v!}CrhF`vZByg7Yogfq-OFE+3+}Y1 z2t$A17XRk%pfg&KZz$$XvSzPkTk(~fCK@itF$RU!m)sj~rAoqWrUL==n(WY@XEww{$vLF+H^*E%jt8M+%sit7H2h z_92=>XdN^+&j)2qQE~)Nz?w|+{F02=voOu7K72q?(rwigMIxT90*N6V-h{HTF6O$S z{>y~>4r7rPC7-cshT$Vl)^Ch{`>iOFqOE;?kKPS!{X8_Qk^EbgI3Njv==@P5Lx2fz z?vq-bjWlOu9%Q`}LW8LG@=f zEST3g>6L`&NRRQ3E!n|4otq*Zj#xZ7PvT}L5pyAnEz;G(h~?r2JWTAbV@mopCKg2| zyTg!O_-g}gA&^(Vn6#F9xez_dVJEpF|jL@ zPS{bgz~B$HaGKPkF^w``TrX?Q$yc_PwU|sxm}Voj!1tfc$wD3iBH?CHG=h((Aj&2@ z@{ze_>COi7AfFM3{i)%m_+;H^I@vHn;Wx=CNmD{cJ-yeCKKrqrB}|9Qd%B$oJV@h$ z*(EwTt#nQ=lM+)99q>kx5P@m8vC+*geMIM^83Uj*a;-Ek>Y=%Bh}LK@N((ZsPvF7G z&mgOnHsPUH>y#d*s)A7yUS~e^3tdZ4BL>$?@# zvTNKDr6J;Aml79A8MZmb4xPu$z3T2mpTE4wCWPx41P$;RWUC`mOo?E&dkqXv+k|2g z2t_vT*H@v3K?J&r4y`0XyZ&6?^n#5g$3@$-s#*_fQDFw-={7{t$3LTPR)%tHNEtV5 z+_iRDq)cXqb=KT@B<{_eJw`ZE zgB7WeHuTW0sEREx_>E4hLsDagN#zW$(s?lVdefMQ^_ehS0`4xLOSm1`!`&Gz3uNup zL8)3w6QGwH`Wd_y4!Hmr;dUFB{Tg7y`BpFOJt__Yy(KOJq8hyP+2!vZ2=H0s?-5@M z7OjX_!t#_+dvufET8Dex6P1B6qj7#xI^Nb>LOTLn3TLjk{C2V|s7jP$5tV?sisIA3V)@c8+0&JUXsVUog67vz_(2$yw!6A_;A5i!9I0y)sbiZ6))N_eOXMUFw zx%B6X#)?-31hg$Br^>Lt6yQ$bPd_OobiN4%NuX zSAB%V#_TxH*lzWVa z)3)3b&~Bf=6Zu3-x&tn|@42O{Hf7O=|MVcJ?c-&>Nr%}x z6dKNY)`aK?c~!;ne)bqLUD2BDOiW73^4e7mAN%NwK&7Si_o_&AbQJu@@$<%vyqi?kLm1m)T z#L-Nr>=Ns6<5r!Jn|*}SEQ&A~gT8t^;l|pN7H(&zf1a24bsTXL$Fb_9a8Q_PJ>!+^ zvax;dMMRA~TI4)(^PVz@aW0*5pwK%f=bttevdB7jcIfgqq(u)7nh6lvmzqmHL6}X!+Cc2UiUd zb4m!&b})cM+|NZkiRlB=1{=cZr1Oh#MsgX|Vl2<(@g!;>e6#52F6x zjgYi>Phl=`<#x`}O#;fC0Firt0iea#EM8gOla^_3S-lk(BQD$r;FK!nN82yn$W!bt z^aH4%*uu`h-hKf##BXh!(oKsGn@2 zyei^+(dvZL7zopGE^vm~zb?4w`}qg%MHa4V#*hfiaXXkNYCQzq+wiTO*9p{QQB$R) z<#UdRx6($)SO}$`wYffahjF=8o6}mmgyu96jhNP7;5+YM-r^R@ykf~7yjA*ot-(*p zjD%jgs!4rPeV(bX~uwXR)?1X43a^j zNhGrqngXl5l_?5gVkS|Pu9TT;yW|%V!Q-s<$fh->*xnMMS7s~95Q*~5v6#l^Qi`)v z9w5TWfFX10M2M0nZ7B1^4S|@8mLa`h3Z34C39@b!@*s#f^&7gWq%WUiF<@?3Zh6{| z9)2bbI0SqSVZ9~^y7*SOZ>LX8=SYg*mWmhMH}&nSR}7`n;S@+aD`SQ?XoKZagy!wm zTP57n2RUc7_w8GvihcKQ8uusBif;_zNfvHSgHP*r(}6jK%6IkUc!Hras(9D>H(e5Y zmKc2!5!9vvn-6z}izcKFrfzs6%Bk0`JLqM3Z6v&b@Tqchhx(GHgmZziI=oBe-2yoy zTP8JF4skz1X}y;)tb%{6#q{_tG8nCuw;nxUb~aw_1cI+xWlqSFpU+`kjTV`{*3cQu zH|!8DTm-I7Z7$VuZ&kXT3qjZP_jM>TZ&DZvUg>4YSrOs^aI$42Vl)*~IyFDN?j@j# zTFr?ZZ6<3yD&wSTEZ{HU8QhL}iS2kDG0b&=_wcBSEM^VMeTxk41d7>Z5e-WCj;fMM zyKH3zmx`9ucn)WwNjz^f&)k6pH4*jiRUJR`N*Mo~kHF+-^jqx%mbw)zBML*yA; zBaqga3ylGlTU}8LB!y%*Pm1!PuN7Wh{I-aXvwe?AxmW9v<%y>kTjQpCjomR0ifBqA zJ}pK#HuKNWP-U^6Bu&<|O+VONTxLdt)u?iGu*Sv8MAYVwxmS;qycm4OzyA&<_P@P! zkX)pYTJ67}EV#oZ*xM<{kyE(V+G;$A!^Dr{!Y8>WiiFKj+=6vq|E%2BTGXdd_HoTwj;_m zUiDTxp;3)ooySwxj!hdO1`5uu6t`{?L1JgL-rK#ZJI|s_+Q{JFV5LQh=1?Fyr$m;| zlnF(es3NXOozcP5-iIAl1Li3MLn4Oq07DzT_TZMFn}C>yI`SKdweH=9C7~gshA#bR z{ebZslfpT4_VO7_PkKBW!`pQP2toZM#uNZqXN$KViBQkyPJ0Q9;5S>H2_U0`30N35 zmYMk8-3La$=)`eRWSW4;U4r|}lr{{+Q}brilgJqo$VJ9hTYI?J=-=}$pVBo1vjjD~ zNl?P#i8JIgbLdB2hLa)oby=fv*hyrZOw@3oUoOSXNjg{iZK{`2>V@&-)29>T zs%gN;pJ=C>N8nu{$&JgQlit%Jo|925Lbp9z)w2BzB9S<_?j|Y-L=ZYBr;;v8+^>78 z)kSxgxn{WQcd+8rpIiqgMn>~*@9^F&kX!S~^db#fR|gwte6bg5@YG-$gqvsxA${W6xvk}LzuekY$RObat0B7`SZ)2kS2C7Ze`6) zteZrS18ZT!*<#77gCI$#oDKOBr&X+gVoUul^Us0xi%xN`=;2!Wv@4Wx<_w>&f#bZ<*TcU6%eQ3e1b{ z_bp-0P!Do5g$OFcgJV4BPwJhyEang0y$+5gnKrG{?Q7_^{I z28+S8^RA|+KAHXldzGe9pQO237Gnd(pW>STWTH6LC1IV{E@b1WDt@3RtvTpn(n^$l z4T(QRBg3O+!FU#unG@s^=;p0AY|QJ9HrpZ{25ZDOOZrc}vB`t-gDXDg^^*UTUe8eM z2k5ZKV@ng5 zHB1t{hN1EH?+|$!S3E1Eup{o0eTom ztK%FeMKHpSxB|1=WDX54lBeAqXbCiL{(BYf>W@j%*Se;n^OiB8nMs8)L$k@VBj`QZ z`DC*3y=t@hJS*>@5|dZ)dhGGAc&uX>HVdJvr;*QY* z7$E9+btj0guE+4m98WW^-`m4QizNQo;!a%}Qx1OY%6QK~~#KYu*4Ih;=6wHa3Z zwq7OqTlxTPCdru0m%B3}Q17VIZUpv<5ESInDs2+P@6xyC*kL>w!otw{JtL8RQ0w06 zj~Tpa-*x_L4go^^v^S?#D|t$cc?_|+07P{$LNXdM>BD_!S!eE!+cNwlu;s*j>h^jcLk4l#@1 zD5P8o{A-7THx%b?q9eneSw`YW`|C)00|ZSgJJrgtqFIQiKu=6|f6eT10f19cDo-c< zt){5rup)$Du(*lM>G;V&O+P4xqC36hQecaMMhOqZ#^=fM{?Ir8OYi3lF?HFfQbMch z3sQMLwe*>k_dTtcOQ6XFcKEy=R{~cd-yo~$gw%)F^p(VGdM`xqmDb8`Pz)$qD3B^4 z*y^xFpdUU+0I!B z>OF76=!)6ivy$-)@ZdOc%&}gos8zp5I(SjWpLdNT*xi4NNH=S$nT8PZc>&5Vb>pt}Ogq*Xqv1BwmMXj7Rk9vnM8=SG zp&RjC&DKXdfUgT@*NeZl4=d#OUF4F-zE4%hZb0F^l$Kdm9KV4yd&Q@Sp{mMZYN}`qmi9R3;lQ zz+GlzTUa)$(yIE5Dp+c{MsZ_`&(2;2ww4P_;p;Z5pwj`GVv*kbj<;y1QZ5g+~r~bYZ0hv0Vq^W$XW24(ArG)aiT5|tM7pW#UC3|brlFqdf#HD z6L(aw1k_vonmjV-RM(Bkr9KWxN!cV!xA2gZbYLY%-`UIil~K)G3UN5cOTasQ_Zkyk zuB3>ZY7en^&6dz((k`XpTdslZb(a%IFCkP|#E&9etCg72Mg{n!=*F4bSQA8k+6Dvk zN8k=>(%cb}qWrD+)B$W?(J8Cu#Cc)Nd}khMEhI1_+0Z**TR?)CYQzpwh9qr1W z4$MMj^QZudHvcsR-@Jf+2N%YqEp5AG6~tD4I((w`>MWDwQj%O1J}cqrHCjAha@%lV z$P`VeBfe`CjW}Eu^cW~H=xc6I0*jpHtE*x{URM;mGFng8H%V!7q%LGT;5)C4^*hdD z!r}$73k(De)R!R^!M2Bq4>+K^Hd&9_GkhHF0Ts{*e^}F?uX>#8rmIGSz1A%-;MzE@ z#%EzDXW8Yt`SfJryP3H3c~u2#E5ZX8E0>-W6!asurs(LXNS?~$Ecm3QDlTn?d4vIW zI(6~<3_E1(mD3Xlh=y;zZ;{t57;ZUx#SUeSELK>|Dr&PG^JN$u1Sz(6%4Gkg309?p z%)6zXDjOFeS+afY!x#L7Z>!S50Y20n;PLd=#9Jilu^!wqBds`|jvnmn~=sZ19R?5Qsj%+Uls} z_^n=yi}QP4ZuMYnct%}3#*5&Ez*$_$Py;KVPWs4DOqDsoMVYCA++P*|9&@4$Ls9F# zu1Pw09F+Wq3z}JJ4XYqszgA`r*ZPN&pB9BC*E>Wm3ZkE_3!R|hdJ^W5!>pt6aMgEG zhf{=Jnw)Cxb%pC;BEcj=2UT>Uq0$of0y+Tjnd#hkh^|ICNuS)k{+$e@BRRSAG9B;^ z*p}dJvDkA8zbA5*#%;l;r3>N;SY901ph(khn#HbuSY6vMa4G@YPRvxb4RiXY8ydlv zsRh}!?TGELU7}GLr~2Hqc7((`Mxybk>Vd!pNn(BV2{Ve#254`KbxDC#B4l+3}J;nmPrC@saT1oN&4xN?!qafbM zRL$ej5VRMSvQpJRE#r~sD&p&BU@alkK|+BNVbYmjC9N!#4G%lFFd=%pnDE>De@5v4 zGop_^4>BfS>6E`J#f@W8FbM;27Sd%mO;)6fj)8VrQ^%ANrty{Q1ge4E_wt3?5-Ix{ zt<2wEJg!`h5{T>c-|Ah3Kdd5u{zN_s`y=@)_`CJdx;;c+Mzft|KP+ckurB`1Kj(=S zhT;G7qig;8F%CZAFJyg`J|Eg_W1O!C)ah&K96EnUFU6N$K>RQ59}LB8GpoS=RlgmE*chLH45s z4q-<0$Z)CEbX8_bk)XH!q4yw3dH_I#?IGo!?L!HpbxP0UpOaDEiSy!(RC>l_9?lPx zi}rCCJLI9J~=vwTzcZI7oq0~>!L9neYC zHjgWjGp~9waJT-1cSOzAO7xM zMoF`T#HQr=fBXgVjPh9gQb~`9_kTL2LXz7+h!d~*mP|UY+#Y!H%J;N_MTYRox zvBz|;)|P8?w*pYpTUGGS<@e~Z@V_6j`v;LdmL1dzw3|FE^Au0R@utPIC_=J^gPrk7zzIdnOiU5*l_9W45*O zNdoOu|B^*r4`ud%ZOVI$N#-?$j^wr(CYE_N8f3&BaNcj>}`%!!&O2)h)K<9DCrA~ba&>hr%$Qb9G zTwcj7*f5X0d1Y5H`j$DGyX;ciS0Y^;f}j2~&nx5?RSIX9Z;-stHH{&5{D+UG>U#WM zm0Er?8_JE9Toc(34)wt_iiwjnc;x^>`uZC_TMDYxKLP{Qt*!I41CYYy8j+nlP$c!12}8516gibz`34Mj;!FY34#)B2Y^rDB4IdyzC#* zRdRJdn>`BlpGGE6g>I&F#L9in5z&4bU-?agBR!h5W25|UJEizmetD9$le;J30GkjVZ+Y#1TLB4)QfdUXG2-4iO`|ERok11M@y83giUH}Tw+Kq`)( zn~9rRWn14DE$Gx$1!d>fIp=K6vv^P>y3|w?L^*L{+5r)L|MV_aFyH>@)^js(<0^n4SOK%HOXGT@%xfw z>onTKg=k#I`=3VgYY#%HB(ti&Zos~hiOu-g98ldPd{ESU$R;r1c2(d(e)k6nnMOz- zQ*+I~Z^GqGe=6Z+Biiq|dgr?2iG2x}R5saM))Rw#(mU@OedUmDm>nm!KfMXHK+oDd zC@s0&A$gw?#S2Et4CQay!ryE1REH?4A_17PJxh(zzl4F;H(4HE44@{Lk|b^u24Q5P zoZUPXaj=;$snr?60gq;~_(Hrod>H9SHtS9CAGJ$y@BzMcdh;uMd^+?q)K{g@#a?Rl zl|39d7adxwk+3Q7W_9O+CXaG=m@tAbI3~QnqcGjI)Tq8It3@lohD_jYlwxlu?r%QO zem2j(;Z`E-yX=ZwI0T!u->q$I?;i1`>z9*~x>?Ouh-P2489|bG{_;d!*>q zk7{@Zhv+mf{V!=Wz6!)#9+eu1gI?G(FrWOE(jetjbO`_)6eg zT8}{qs$0dbUpTLY2Uv_MUVlcjApQ5bB~dHrsurK)gw9FTr~dfI0y6Jm+t-b*}&qcI~NFT3z&Pdtl2X64>u*VtW>C>{@>{LjWz+0vz7z#YAnuwZ0`~l3R&KLf1z>G?Sf$oti*&!13#yOx&2h1qahe?7;6LTjdo_o59Z5@iwg zoX%7K>uz+C->(MRzPXU!TTKuaY9)2)o4zg%DJ$M#bSJKaP+V!dd`}R~BhFkVSKIqo z*vwyG<)aHO46;6?@aF6eV_>3@9M+|9Z#28~Zz@T?Whbk*@MQ)^#7^c3J)8RuHPCQ` zey~;g7j&x;GF8mA4gqR?cZ(8K%KXnfefYya^DC;K{n2A9K_Rc7c*MO%Zfi@Bd&*Aw z!dg41;mUtCR%gf|Q5;NYp{ddPqEb1)?(b5IJ{ojteQo4`1{}JIFCpw@RpZ#qLk9PdamsnBu(mTZisi zns>JbJpY@*U#lcGDSu}($<^ilcUuXK(2m%+@7;|sH|Ybe*9#lzxn=6WQ%C-(cB9J4 z{D|z7E{g{K1r1kTU(_O_$Fgn#3R58nF9##QwP_JQDHOUV)rvl|T~pW_o?3|MFRYMu zZ(t>5c;Z0C`3F$l24qUNuMO!Vujc_JEbE72A<{`*fL zcTPzAzc7z{jryNAcAI6)%KG2?&!z~e%;A!I57pMmV5biT6(5WLssz^z5ZR#m%mwpK zGNhxD-g`u3ZGaydzl2f|?PrCju6+_dzn>xh?xFSr{{1g`FBW7t{sG3r83v6Dj-xct zj=?baV#iwQ^Uqv~FUI6{b{cNK==0+^2@f}At5rWvKmlWD-b|vk(1EW=qGju`kd_^4 z@$Y?$*1wtxQ#CkD9Y2ra;pf#|Px=#n2%YMt8MBX6WAudTCGL=7Cip)2{Rk4aD~R-p zw$r;OhcNgz%0mvxK^>;kuhXl?25B^-C57$^R+-a~ z759!dB^UB6#mbB$$f|sKbL6jdln%IEec$TG3Y7~NRF2|$5OaN*0rw+A`A9aH(Cbi#o33^6xU0iK ze$^KChaKhR5(mZU6~8=m0;lL|8B8}RZ*sOOX;b}tf5yt(mJ@!N@{ruo9u6S`_J%H8x z@U~*9{x*;X`F>|3-#emn#YdyFgprwwW9c#AZ}ADv!V&W0KBEqq-SI%0?>Cdt4FlSK4cG&}&KD$eFGB;tl-_`@50%L~^`%dfJ@L`qcF!>MF@6nCP=oJY&S zjpvQMd@GM|$$wW*UCW}C%M{`3gbw`1O07#6%~*m^7it{%Co*#o+02&?>NUWe{t#Q< zucC1|7lq*L0dG!T<@9%okNgJz_i`JqGDbZUmpv<5+q9^^5@!t){$9 zRqvV#mFz?3ffzu!rr_5WpS>a}#ictj(i1}GcD=Q~r{-;3E2ZdlSpCh(E*=);`$bGQ zVe}Vt)8UTxkXT~{p*)t<=^{a#R5BSvaVbs~Yxrtq_-Yid&--~i8y9x@p%5fgjfWeP?Ih#iLEjF_DWwH`Whpj7H2RL~jR$PQv>Ws|w#Gh-vud_{q zes0-W@`D!8912OA5VU)r4F41h&+gv&KxdnbHT*cUA;G_d>ieozHhEHZQ1|Q60mJ{9 zGRoP|?fkDlx^(_OM5d#0oS}a9T=hnS5bE~rl|eRoTORA)_Qljs$0qP z7?a}<)vH?A9k4rkbR6R0AB0#@<;7VR^_KQ`<2sB^cqql%Kq4^?Nyf9~G1xetOVY0X z?gNGwf8w(_EXnf@B=j~EF(Y33TfT6(g3RuF4IHTNfPa7gzm)?<&g(~guvTO_l-~Hq z+Gq&t1-lvbxX<$oK02ToQuMXt*5!~_)l)kMMeu;gHV-Fb9;v2(`SuHHC0cG>?;jBw zmG+&yMQ`ag%sZL7OItrlew;Sfbo0z$h`N@y!=$Qy9BUbA;bILD$ zM#?t<1`6JjdlkyhRQ*;VU$C!OOfAVGqleIC@m@o|5;-*{w9`1XbQ=5w>ggDu0C$sL z(T^iW0B_a2dwB1Z$pyUchu-~cqJ0!( zV8@Co-}GuF(^yH6Z}8)5thvHS?+<5Nx?>d3TNZ;H z5LES6qH!fovc^Ry{h}Y@z_8uiKylb^%@ckW6N}@G^)F+R=LJa|Ksgj_&Xx|c7fPix z0*+$MS|5=6s~Fq!xN)_Vrh{9BoIv9c%WVsZhshR97l4Nh7-i&tS%<1j!n^N;d>0WO zf;DcfiU3P#wAht~?q@>Bclx@q0r1ls8<5)4*)sG5ha&0g*XO@UblyKy7TWCSVBG_F zvFB1R&2fp@|9th+AT8O?Cu*)2TPCf zK5nNgU@8ymdsv`FbFeomE|vZu;Sh_R9tD@_9ingM{6gUXzs;HtaM;OFlyu+bf~&1y zO*s`N67+NbetZ5_KUq(QGd57uq7@CH@2lu<7G#03#(lP-v36>~xoG_JU(0dRzpK96 z>aTsmO+$dGlPeqOk5U!EHvlyPeHc32vSbUDjBgU-!;mHg2FTowA0 zD6qXA;|H>i8zj#Fa2N;f&Lxtc*=K*|jr&|~)8lsq8F}U3#`I_83ad4{$PfWaJRn?@c(EX~t)04vVk9-wf7cgPwKP|EGAP!yzB>uYPwE z=;;62c@MBAm#$ry-UJm5>}6d zp6i-l#2XAF4Wcb&0(%su1btt>)Y;iPb$(U*fwF`CDvrv-_D3=t5F}CQz7cJ+Io=_! z=l&(W{wg8~pN`(XWTuN)KGJwYeFsMfK{eE*|NiCNJf&!^vE6sQ4qcCwjOP`K;zWhK z6AuWu)Hk{Vm0RD-Gs#z~b7n#Nqk|XROTq)&%p`O4bdI=Nmxby!j*FUyh^#A|K60n+ z#BTp|Zf1Cq{gdogX2(qW_9NN_^h^hw2sT3d;zPa2h|T_&G}GLMuPgI)u{nr`_hFRP zW7eoMvAejq^BjfGSX6;cK0YFNN2YIxu!=8C->ohCb_%%s6gEgVc}Yr}6xbzZv3{rN zITK5vmLNGRrC#)z(cn`XjE-2wtetBejNE4^D7SZemc)<-ito{VLGw)UPg7D8N!h)d zNG%e(6U1J5(WNe=>YZZ?-cp)$$f>fW8zlh{V9M&a!! z`8C%@BY1jLO$B#ryg0o{)j|_zb4AP0Ku*i24x6Q)&*biJZtL$jxJGGCQP`|#6Y7nQ zb)+B9Wa?>)zDviZEVahfx*8})PpzRHS%o^RRqyrcdVG($AD3*7Ip8xC&*ARXpBI{R zANM;SEHxfNPzjjvDN-e`iL6)_f9mO?wj{17{_&i)-J<-VoN)I|8AW;}4~^?z_1uD) zzP!z`x9Zl%$+q_FGfL?pc#+vf?Ne3>No-ER=w!OJonXz?tzgxfb}MJ%lf#h*n`|cu3K9aCr+Z z(nh^~fheEjq`9@X;D}L&SC;H)L7WZOG5=dz4ggoxEkyx_yeOcLkxSZ1Djd*0*|L^tjo`su{%(a?3O9_HK)RE^%5 zQ`QGLL9wNq=ANi0vzP^5vQ6?cT-V$&t`NTK{Vhvr&yT9Y^SksM_;q*`csShT^KY41 zrsWLZj})RvJ>O+$Gpzgy`W2=JabRoWA}eEoUKxBN?OutE z&?yym>`;??)r%vi*+z!d;d-MUXTy$`;jkyIudmGFV#OF)t&s2(m@muVn`bqc+)~ig zGj;{MiZf<_Xw+2Kz%X2EDO^J4=xsIw1R>|F!J+8W`&zh9wjMW|y z2*8P0iQZqZFMDU!YOLLqW|g~<67n8(uh1 zKyP2mJdHrDANK+ry!+K3#(h80$ll>no^9S6JGLv4XeTCk(ou~Au2tQVPAS}`1 zgyncAq$BWr&Tzk$BX(I$Wl31x6x?eFUMPJ0ytZawK+<_%5B}AdTAS6UH8v#aIL(h= zEq1*I^K&m9{P0nQuLy(jC&7vi)n9XDGq>~=d4Zn0Uf6+=ZQQ(KEZhavV%g|qusKb4 z+WiXet?Z#3hdym%+#28Or`;P(c;X}v3pHA^x#N}M zH+5`Y7}VvTGh8h(aIo@}xaTNBn}3nrSVq4Pli*?b@a`+KJSt4veUR^E_su&Ndoxuo z`D=ndd9v8RCAPIhX?7kgzb-9tzBb)WC68jx5}LGb*w-8`qX`kYY?Ulu~ZW zBb(@|3W1@5UFq4^YWA-h)wqUD8!YUJ@R^%TRFQv?S4ddKDYn&k6PwRn2W=O%oVM5O zhAcs=NRv#rSP<7vn_DD_D(_$HS6UdT2UnDfiw%#hqm}Q{j=%3X%zX&3mD*dr$KV{51|e zPf^38cM6CWE(s3!Ws`G4uElkvGyUxTGRv;(T^8bPR{b1=u_C?u6zax-8V=9wlI+mk zV4@nOdG+kAUAF<*nTel@y@Os&F?^(c2H{Y?kJmv|{$a`msrye=Ep&JGzRqShV;`Y- z5EJ!Z1@GXM+TcfLlj1s*oALO7DS0pM={oakov*dp^`0rN<;a|Eb9MW0Cu;q9%B`cS z9ZlC%-%B!4?(EZudv3WghOoG4bV%`|1K;58JTB8SH&`#rc_6|*YgLtH_*~LfB{sCG zBj0~2F;*F z@lU!s!F5bq@4LQdM^1=fWH!XyeWg=o)UarH^VquhgeYB1%p0XgJT%m>$j2waBEtJ% zT!(u(Y*yW8<>;W@7@x`%DtTZj$7RL#{OQBCRF1nO`pdBSaCpQ;)4H2=W+2+9Ty#7h6H zfo;r(bjvTgpHG*{*Rgu|Uh%5T*g5H2O0$<*#tz1F4o*-?6#e|L)|03mXSyW9RcuP6 zSO&-CE@}7=XmS|D36DQ^iyzoNS<-It=+X(Ubw;)3iTXFNsy)j$w!2)nNJ!?C|Acj1 z=@y;oN9AokcWyVYYU8pwsm+0R4Yq6BpWW}Q^?Y`lzf*$4XQ2eCy2T<{QUB5DH(YOu zEL~1qaoiSuYl3dJa#jZZ-fHbdg)^V0;mL$nS^6Y1S@N9Qr##%T=;OoJ@wIYm5HDX$ zZ~L%$hk}4`4tB_($y}}9otJO^rbpO=IgagI2?62$W->1#A8dJjll5cFM?eD0Zy<(C zypV2FVH?g_dfY3s3l_yU)?NsKVO!QYhMXOqYWT%*j>#$i{9$D0#G z$2F|eR8CoJIayEjf7-Tn`1-Nli|vgIIvoX%6pDfhOZFpo6_GD+Kexr6+^RjC^l0*C zhSk0YrAe#1wFV zl`oudI`}w64>1^KHon64(FqjE#&3$NoN19|QPAS)+MD(|_fDCfQW`hedFtq!MR_S} zO)0~^U21~C?3^~KiyDu*rzD?8O=NBu7LooSn~|1qd^d;4?FyHwGuH@~FCWbHvM@^* zF<%)mPx5-aA&RI4Lssq+(#G?q586c~HE0^G=-D0G+ICO-IqrI?d`455JZn)3&Gv{* zf~KWbnzBaip=aRx1@c=Yv}>3Yu1lEAm2hce>m(>ome+HRyKeK}m6g#`Yf^si(rQCW z`r<8KO;uHc(sjIEFNR?T5;^Vsny-~yyprR>1_#d{<(v|5_ImYVc>6^CXs{kfl`6&9 z#K+rwe%Scp9ewwHuH$DE-*DJ-v7+kcKCBwu%4{ZbJTH8)ew&cK2u%0bJ@UTD*Rsbq z1e)_SWL@Pj+uZJWnxkS|HS^fE+fO*+4oH5;hyV+xJwNfLjjDy&GL{~1G^&@Lw(RPh z(J`^Mteb-*!}vk%QyXercI3UEnk?XIp5R>>ETVcmxDe;ri8j9KP#Y7JEKnf$+^b7- zzw1@H_d|yg{pTvQ!}09iN3Xn<=s(2Dy^Q$D&n#NIXnB}L-rYwf^V3d`aY+Q(6FH|1 zZhqc(=Y7B}<0|+}&qHE{;fpowAv$=pRjuHh!i6UvB%JH+^j!ZaB&2#!rsC4oHZ@&A z|CaMY=kzuoy$GwAflrIfh;0$giX52&yG$$htv|Ed&$z(~{pyoJNv2{nBXURMB zDc*F~x@|`@CCVJ{Si+c$+m6!ZWBa+64>=5SPIYu$F&oAhYq4~lNtx^>HHQE}NTnKBI-SSG8T>!iKd;!HL7?pN3% zy{tb(0U>VXla}x}^uJ8-|7FtL+|tt8+S=CE*52OU!4UAKt*y1SrMbDOk>1cyPphNW z)>3N7)zu^-v5G*z<8hUhSS$vEL8B`mK`{ipL8CDkY-J@5k0(?SN!8Wl8VaSBO0A>O z>g($pAfeMijSK-PU*t=AV`F1eQ!}-;hD@#|lPR@z^^GlUo!xx{gTuowUk(oq4)pbQ zceb~-K&a|zw7NPf0~Z4riC6`Y0cZdm4!~Oy9G*a|t^qaC8=G4|2N~V#?Ck39>FpmF z8h$x4GV=1}&|p8Px1$Z}Fhd&*RR9e%H_;nt;r^b^_RpR?ec|Zl8xozIU5vul(3;x; ztfApy0II*Qr;AaxX-OIz>Gd=!g-ogS%9k?*N&gW`+j)x>_5^I7EI%yeQ{H1G*qPx1_SZe}-k* znswXus$RJM#4Rv3vlv5eXzlFo26$SUfTE#Jw?chsZ*8X2C?rB9uo)Ids3Jjzsa+DF zzZ#&ShUSjG;j!0mrl+SSC&tGor{BK+%*@R6VQyluvxQD??&u$V^Y;D6PoF+4&b=P# zX(SIT9 z>F@9F?P_1r6uq8WL&O6>SjdskC{#HLjl~m}fKh?Ln%cVhM_$h^ynDAWH}hud&GhW- z^mu<`Wp1>OlcQ&3K4s`VJI^v6PB!Kbv!h+Lh!o!k8d5B^(QPqf%T_Q`eK*H1b2;X( z&SH(@*=OpRjC;i=bI~EPfYdth^5tM(Z~yT4%>4Z9 zqc^nxU#qVL>Y+6@H#auWXbnxR9i3fW46^{29PDl)*?v~Zf~O1LS9R6sH4_3w03p3*W*ibV0my10bfy)my=gm3NIH~ZzRktDboFKb+?xKktX!O*drRC8y>fcDs??dx?j2WJ zg$muH@|;oSdDX9UtiI>>C*y9UdGS85!tk zpw=~Y_6-j9b+$AD=WU~whF)DiKP#&39GQ}qoRE;5nwp#t8ylaLnvt26os(Z!3`e4I zL=v&G3>N8pY2!%rE&J+CPcrB;tQ?=Zb1hf;z51LGxl-%CV@bo*RQY}p<4k-tHpfSG z$UBkOI1)3&DWP!su18`yy?1DMboS%txxto}{>eA5x;qA^<|ca^Y4r_M5`jc*Y^K+N zNq|rsenY6>j$7NtOE!)U_Vx}AwvX=JxqI)yV+VKtu*j&$sJM($Top3ONprn`=njR= z3-0s#KiHJEcVHv0i{`vqk@JMxb&FqNSw8(eYqR0jBz_Ft1H81L?l))v8-CZ zehm)?`@24RA2Yw$R@K{1j>cQ3%VK@gA%Z_f&bMwhUM=^h03M2Eng#lC#0adv8C_RN?~E~y+)2c{sEzJX&Gs0nK_xUL4LuJ z@oBlGNHA3m)AK_--Jff4mc-^0FwyF9EL)e=3hTzftv78{bKc^oVI-V*j+r%FD~i#?8XVJ5!m7 zXe9XwyZY~XBX{00wGxk^O);~u@o!X6H@ItQW$S2rOGoF1tyf4?Ol)F$am~wLhr$L!ku@InWhb_5aq;s z7%8wzr3xWcIe$$8kKs%`QxI<{BSK<=Lxa zX>RS|=B)@g zJTnZPS`^tK}`6tge~c zJ30G=M#SXc8#-RSW#Sc+U{2p-bR;fnyYXsA?G-Kt`NJ%)bAzk-Hp*#SR^@PUbC-8b zMK=#m%zWZpA-GmlOiY-UX?}tfd0s?N$t@RCSwn_-Tw5zIo-nid#6$lOFaO-W6;cu# zZzrYOYFGu>pEULLx^u(X%i*zGM3mjS;NiDS_AaHXWW*(PT-_ zo<%MmUa_6qcq%RDH4^kPVl;TTJoAmb6A+aM{3~|uX_)Mu`Eu#oVfgvwYlOtsuV24u zhy32XyS9pPPx&oxuADwp#kN>On^_p5=egRs9d0MAKW*WbPU)KBU}|O7cxv+^FxcX# z{_~rv8v2*cTrz)hO~TdP+$p`2Px0n6w}_O)s5B%7UW~$GNe!(%Ba`oVL^f=ZJ)ov8 zw{jfec)#dneOlB5wKk$IyK|8B;}o=qxj}ePXhIf|Y2BVfib_Y0sA_6yo;ZF~Lu)5% zp`TMo4TsoTmbtZuRFn>^9UkC*eaOAbOpmnf+A$6_7^QZYYm=^%%WbXw(&F3qO0sfo z*eNx8^6FY??Z;1Cqq9n@DAm-S(b0kaiG}&e*9-4Iajp`R+AMeMgu3<>RlatT-)beq zcqbuED>8(&tGDW6<@=JCS4a!oYlH}g4wTa|ZQ3g%}8lfB#}eDKf)PFfmzXp)7WbA)-F0MeJ(<+^;OXN+es zx(3(znT?Zg1;4PE&}tD;L4N)kQg)qmGlgsUXx;*>kI(Erbz?sp zr@)M__MD-1-Qg_-i{}=%DiOBdvd$=alEF7_2owUJIALd_Ng8@ro`T_ zX0x-rxUIuB#qv1^(lz6vsr1gv3WYCAc!=dXgS@Z0#gA_L#3q0CthRyawVM_XET6ux zwSQs#@Zo(k6QirfS4{3&K6>Wh;^FBGcAcg&YXk-ZQ4;$%@UbsW4-_PPIR4BtFd`v2 zIVCkIE+!&0BskE|&)?U_&&$K>`8nMaM>OwxM@EH*ghYe|#m2gOMnC85+j~WUyLI30 zIgLYcc~MaaRJheenE|Dlf+Mb39J}Op9o5*kUE_(1vzwQfw|`(@a9DU)SV&-?kDH6L zql1H^lZ(5jkH5d4zmJohtGmNP-Hq&Pk6bu?XsbBS=*;@dF2OO$Y3UhRndxaMN%66f zkx>z#g3!jVZ|Q6FUf%d@>SK6z@C!#D zkK0l6x&cyn_6^yzKOpl%#}&_}G}3*rK z3l0sBPfkwD%+Ad#EGdN}kO)L+VP0-ldRk&^9H=`sE-p4YDmpqMIKaot+cz>R@}`l! zgNvWHo4c!fI4GB&UsPIJS^{=#dD&T6S?Q^%DM`R~3Bk|ped5FY10y3NViJ>*k`q%h zqrAL=i-#LKvCeF2%(}gj0^;)EB1cF+(cs!MuaLC-f}#>+1-24{!&ia*JDFTlO(fv3hK($d00pxm5{jGXN3qJm6RNp@y# zUP@SOT4Ejsj%&!Y_058l2yjeoBMn;1fftkltyF^G6KvbT z9vTFRwG@B|1Y=kX3RzZ$D9+E%&&kQk%uG#Aj7vyNNKJ=fsv~!+r{PNqOAwe!0_a0^ zbu|dzFd(8WMUE6G3AxC`W70s zs;h5kL*)@c z|Lf{&QTc_ijB;{a6QzpY)Bu8trg{)?HPWG2tnM4(0JMa|VX;6_z|AZ1Aauop_!)#~ zln#1nQF2szUQKI#OKVe8JqQA*6v%8uQWXfa@x+>jj>Z~VYd?U~+&0i%SD6Pxqljqx zKmrPl!IH@I+B$ku7d9PTPpzw~rIX-jcy<$k*jKH4fHyCEsjJ57N^uzS5d1g$-p>GwfOoD zKua_=w}2NAm^L;5j1V3OQ4JVx00u%Ee#_luB3;o=m1T(x@QH zr9x;Jv1Mxm2974ypvsY@xfyv#5MIIwm;{siS%`7~f{_KNl~P3k9$QySCK4%i6rkqj zIxMxVr45iI08wijgbWBBI1$4H5OqT$5pWP1U@$BiRRJPY5ZmMMAl9$Kfp0*?hL@lb zCFS5RzXL-<1P)M7Ev>GBhA+;CqbSrGY-U_aUSUoqEUy?A7>;S6QL2bQnYA@kDwR@I z4V;fsjYpJK)zp&VWwe$$dV70kTSr%WJHXT00-_!|fCJ$H%n+bmz(@m%0aODD1)LfV zh7R~CDlS1{!Sso%&2fpUC`n1qD@TJK)&Y$I8w2G*1Fs5$CqffQNqSBpD3Tc+pO}K8 zQb^Sd)S!M!9T*Q(FrbMQ#Yh5ySds{DXaS^EduKNwkidVSBH%&*3~*^kIS|Ewhcp2= z4GXQij7CMSV~H#I3e2UZyBgQzUWRN|0$GO?zHS__CR zNPxrPad;f)4Us@56c&~vN(w{$(?i0lY1P2TApWiv3@peDR4POdTT52A28A&J`b>YU;q<=e!zl;!Jx{^iV6z~ai=SdWX>*K-9g{cHM%PIivfXFE-&Cg9qEr?GcKWMn2M#e|3X2l)niA9+#LP=hPSpv%$t zDgp-V62RsFEHcG~c`#UdN(|Vp<&8 zYw8-n3fJ4$(+8-suJ$e(w8R62fTgt_fB};bAU(n20Sz?Bvw_J#Gi6|p09+_OHX?Ct@B+PoC~(kUB8A@8(LFfaKRyE}+A1v2B3PbkssY1W4;VQ*9U`ggC=jC! zx>E)CR}`wOxDfbHNc0SYuAf$Kv?24DahXu|~@w794!Cp$GUAtEBs$H&Rl)!sYAVt(4Af=EH< z<-&3b$|1*w7XcSbO9orYkWgPgAE#702y#bz8X8+_h%|J1DZU)QN0h=#!D3cW2=+0# zc{y2G*?FbaeT%HD%h%`h2aRuqN4cF#8MpC|CAQxz|xYFW1=I1f_=Qb?ZYd` zZ7+xW2L_w4m38g7-VD<#N=u81 ziwjH3%0bg$tRl<7mIn?mD?it>wdv$Hc{+1WWcxnNjB8$z%*hrysvIp9$a43?1! zcK1nfQJ^J1cV}12hmY@j91J$bAWCv0f@8CCa>2Tpk(LhPro_ak&|p6gR~Hw1duQKN z0y#Uew7jqY*d{A0GbJSj3X7t`!$N|B0|Nv7{e1lb17ksOfPfd~6yh5@z~&(%0hW~t zX5W-#@Glj-1AF*b5bY!+CMG680Skz&;-W$56AR+a0B=uMNBd_F4evY^W(ma=79@Ln z#bhMLC4&BjgYJUaDI&q7FqhDNVSZG!bKpGDuHXDyyax94_VRRd zb#`|52u#UJO^l0hUPaUHIi~t(!%_L!=i!%LZDC?G~wwG5d{^G^c$F_D3 zZf?%*UV*VOVd0=gUmqVIZ+AC07Z(?2XD3HMDBC@;esJ&M6X(FNAYV88XAWNB2^m?D zZho@ zVX<*OzQKO}Ue2yg4o>#qzoUz@tE-En#l8D??mT#G@96C12gKJ4Jh!(4)Wjnz%X@bL zr44>=-@0ymMgOwC@h!^-cW+(MK6%dMxo>2U{bMhGHy2k2I|oNsfZo;F!S30U$B!&6 zEv+8hy>t7vx%pj-2M-@xJ+ygbWdnljdv{F@O?58Z)e=4L7a9@l=-}e$WN&3{dH0^# z?fVw@t*osdSX$|5pF4N%lJV_FPoKYd@$9kX{reVXCMH)6^bIcS=;-QRzN~xk;<+gwPRi)v_{KB=j$cI@a;Rc*6pk8a$xvwvcJ|K@G;+qW&OpFDc-;O-66s|I?PboDOl zT+%&%@v^~H6C>lRMn;APhQ?PeUoqA_r>(ASBrj+Z5$5H1_m1@=%e&XFUAc5g_oB|F z%R0Jx7qoTv?~#*}KXBxvuKwjq`j@pejvY}^+_&$LimK|-qeoSg4l61u9X@nmpMw0Z zopSQ>3JMB)LF8fuCf8vF}q1AOjZIDW?Dn!e5%4YgxRib@CfD<0f;@ZjG4Yu2ph zUnw9gu}MaD`zCQ=!PU!`adUF=tXjKn!-n-6HcCrNZ`vfaUP4?b!PP_ky*-`1!`fCh)?_#?Hyj#l^c~`N~xSYsA)xOKt-V$?w}K zDkLqtdHv>{va&m6c5K@sy%9i`kdzb`UnjXve66sEs3;(FMMXqJCDyGKl-$l&K$O)x zEFvhrX}gq=;A(C*4mMEx`?oWb;AHD1m@kszBSOLO4+{oP=IQ3`wS3hYA<&4pnDAN&AujfnYehk;LV|1fm-F!g z6?1WNu(2?+ad5D+LvH}z&&JNhvtsQ^oLT<517aN9+-zJNuRGf6aTu_`qtJ+gtdywW z@a@|-Z{4<0LYRNWs^x6#f}6HVi3*DdtrFa#uv>cFh8+ii|5>|wdU<<+5#;3P?i&=H zSz3XofMBTW)$B)B4sPC+{L8tR-_A1u1+p=Je77())Yk_Nf!kX#?Dv56r%tt!>mKfvjc?Th<&?wMXVb3$HxU2J@~uSY;?hVxz- zBe#(F#83~<@Ra<@=9WtES94PXUN|K5t=_VI+fLc-n>R{`ZrZD+YvJVX6B3u4npKE| zHdBsO$vIrD(J}lA4TvhC4>Vv&v%UfL@ zq@`_Po6BKYQPIa&?KW%@73+TYs=gxM+tsS3#;WU?i0-To(v-Cug#_2}7a%+I9reXG zJWR!W-e=_%5MMF)iFt9Xn~K4AF$?Y1zGvrP_w>=-tLIb??B20{zh6n9G*|Slv#BgcTZ~Ys)+Y;!Z@3tenZUv&b;>p*H77I5 z+tt(0&+Wx~gG;Pc?;SStT})g=6+yJafXxIXEmR zz~9|)mG-tb{KZ~nHUT%13QNn&3-c>GIxAvR8$PnRN9AH^or5oj``Q{P1Y~wxXmF69 zqyEkn90FVR>{vBaoK`->B`6`iM@>UvIV~$2SzboxRXC|E@_J(JIj2w%<0U2~gt=VW zv1-M-{b!9$4bPtdGqn22OQtt;4vO<~@$vI957vRXqB2}#&_x5YW>QYd=aHPnoqex@ zN_K`deqOeMdzz4%N*H6}T3l#gNGfSz&DLF;`5HaN;03%U z$xTcGQt~RACyps>5?;BClZ}Ia%dv~PYFm~~4ZIv5X(IrlrmnHBvN*R8MWle(tr|o| z)s+yV0Wo+Lg$bUwPwbUm(VyWJifF+5$*#7p5o{z;91f1tCjBgazbqS46PR)QpJLn8RWW%xm z4+4mR-1q>O=Z_!W);+v|kNG_l8y7bZHz(VtnX!?vnGeh?tSl_dAK!vg`<8k#rXb$i zLQ8(Ttlau>U01YI@AdfXunUuR4{)pYs%e}yw03f`x~!(8diJuup_zR^Qb9SU0$z}v zoe#%ULHBOxfWV-Z#X1^lUvrHwqclTY7`RFTCYZLK;fd*)sj>bxY8AQyLm-oJMX@e= z@*>N)c=%Q<=jGwz~HW;a z*uC&9pe;~loID>pP!mzVq+e|1!}Ei+i=A+cf~nUV`fV-Ptp-r&TfL+F%CGNyS5+z;s+8y%aReb3C! zwTy51aKPl9>B!)_JSP) z^b1_|`63{>k8vgK)#&)d08`pp|~8*A*r(0{kmDTw!pl5WmE@ zeh1ERK=6tv0}(Gc&Vf$7z+w+V#{$47mX;wQ>XiV|615ObLT_Z~=f6k*wg0dDtAT%@ z0dNoXtNepn{zg%7r}VFLF@`0OFOa^y|Lc-VIYRzK|}J7RYP?#YKK$?9w~z({qOR% ze8rEYmUQzK$oJnrEBg1I1OO?4+!cR@!l;eW0K*rQ7(HdUC&N--`Ujcyt9&!ncint@ z25R_QRs%D}FBP*?(U%q&NS0E*j~9jmfzB|}zeD+^A|>#>J!sT_m#;G-)S2IC2=kxN z{LsqxN`LHV#h2ut(J*xS1?87Y7|^~gs|>UM*@G~c-&uW&B;O-wH$eKr4MQ7c{{`ie5tU`!4>XwIw`X z5&a^=UnDUaQ&B;c|L8f;y!W-@zbOCv$A4d|f35>6tMVPu7Z3h(zW?166~^EKp2L_C z{&(B{O>1Ag@i$NZP5xH{|7zf04g9Nte>L#02L9E+zZ&@en+E<%wwd46_CE>;TvPhT z2Kn#UhyS3Uf83-0*$V#K^z%R4yMJr@R|Ef_YT&Txe`5SBX+c*E?s{AFM-!}g@ zAN;?g{E@c#n~nYLY~N6Q?epI&35xwLBgAR{h5WAQKS=)roIf-VzMik71imf{zTvPW z;HoYVaGVOAJuu$>QT_pnUld)co6)2a_{uKwF!(kdz`@|ZA^G|ax(M<$xdOF>@kemb zIRGTTZQ^%Ne=Gpy0hIz(F#g&TqZtSUgX3n%S6F}e{S6oRlE~pDS?Unu^$W1Czm&ic z5u;-jsGpwxj0A!Ls%F&wT_xYK{PgaZ(7rUqu~49~Jg3(~pIIRO?^V@)aRu6G)*;Furu@n^pcpC0{w-r8fV3oU)YiA1e68qaW1< zIR@}wM)eGD0S|vsySzhQHU~|81^cG_;ho z1Y+r!=uddQwDRM(vE_)}wy2L9HOE2HQy@cgMtDB<@Aetz2JA^*O<`-J2JVVtb4G`5p2*GWGCUTavDjrRVnHz zcD3ZWEWmO7@*9iQjOBa7?@^zt1}xYgkxx0(`clEPu?adChy<2LK#@eF0S4B+MFzE0 zZssI|T70H&Jm?9^V~@1j*T@t~%Y;S_VMZ5+g0AESRYHRDKoI6&=rX;p{_p_qLQ$^m zqDy{eJCsDokcmlri4?)-%!PPhaT9x&UU(BeC~Dh)zLMl@8j-elLLAUe?jzmoi+01q zOZ2EarWTDGug{@!shrqL8HJBC5H(<;P&*k&W|5MY$}B7rPHxg2JSM)oqcy|@M{X(2 zPvq3VgM;0>X97Db*S(vkylv6TixKdOCQ8U>!!Ut2@UFWg>=~KGfNX_lfE}i;XYcvd zL|FLU2T#r%A{HI`n5c{@U=$bqhB zKzfK)q`M*k8{lH$!SIoF=MHv)U1PzS#@-+t646Z)VcW-3?ZQaCD52?pk|C+{305iq zLqNR0&{DF}+PgG3DY7B2c%NkJ_sJ}Tu%lP5gp?VoG4%|EpFs;#58a%Fx%+~CKD@rX zq<>6WU^#TRKV>v%kmA4*aeiGB6E~C%JD;&(Ej^TcW>npO6dubhPoOqmCE25=J)fMb0dzh5ZZj|I)riX1{ zIpht#x^PhSo9r^e7H&?h(Y-rKNqBqj9u6r-*EEct;)f45r*$LS**T#vY z9Z@H0t9;mfq2Bcmb7CrvV3Wx%@ghhoNg1v2Y!-T?=L+&qVss}39Ef?rI6qJc7wuk) zF!ACXGTv%T5`{mMDkQ)J8am2U#XopNVs#m08n`NQ!qcrLJ$Mg_M`)%Z9x$*7tDLB#tyzum5g zx`8Cudnf9{no>GAjP5R3_i%I*)>{sAL`SMVF4hOEps`2Bn2zxV6xRee2i!z4Etguv zU<8D@WGF1HbbWG=mpwFaGFCeGq8`mCWfr2JWd#m z6<(%OH7QcWE(z>uK&U}8MHPWuI}}9+S?aYr(vYvX1Rk=@NdWkEUaa?-*EW=pP59-r zA!B%q2116B7=|%!0SBAyVbk0gd7e!k3*Tw2E5VL7NLiCkGhJcuQ+`)oen%g5S=ZMu z(zL5vr&?$hPJV-;kQsn=p!xD>5$qGuvc-6iioJfJ5ep9TkohNAkfwrPcN%rb_L50M zIKc*~-ux=Rrq{~WTD_ouJ9Vg9;cki=Tr_ zZ{<;`SL$*`Sy ztG$qUrIJ^}*^Nt_i$|NUvlie0@wy!aeCl@^Us9zs7bQzv>tryDDk$+TwRYC4asL+6u>CEc9ND$jP7S$4F-qVPoFU}J5ra|evSgzY_#D-G}!v4=x$P#O+ zBT1}4*H=Vy`Y|fE;rdD8-YF8=O~Z`c=QFv5Jvp}5n0;9N1}oCQEWyj+(Qn>h4@n&R zR+0uILiqlJYlOwM{^N zbm7uDLppL#+VNQ!%VNa~^>3`YTqQ?cO}oHm4r*x>mN(pOIihLx#z?L2W?BUt-Eh8{ z1lNRGJ*_Nt#X}Kn2Shr2u9@c0DY%>KEREMS@ z6ID~^i|*f|*+;x#yj6mFXtAmH{<1jzoXR8Ls%s%p!Noq>)V@ z8KvYmK%bSb$bt8#@k9sIJ2#zjIg31K$Ze>=l#=5y#Y#`eha^$=D|BENBs|;JIuL0S zpgwPR6YjNIOwZ;C<4%*-c2CHq9Pr>myeBfC+OfQyTvl3bLn-T7s%1WBfla#F#Hf|K zp=OpZUJXC0wlYn)Vakpqcvog!_j>yIJ2`QiTwk;u)x;VlY&+x9rA;JHWo6-s|Jui3 zt|iUpmD4<2aTO}}h~_&V#YrwKccldL)N)lZuEZhfa5eDv^f%iS2!)e5tB=Yf(LvoQoc63W8JdFlDrmADPazh_>_>4UwlH1oL9r^?=-A)W14uWxK;A= zEC5ESY^7W?7;|aO4AW5u_hj64APr?0sJDQX*sxEmeZSX&h8-Yg&YXx`at&)C1^u78 z9a~MU#GZvY)AX(>%TcRhiZ_LEx~dzCXbn~wIhKLX)`R^j2L6~Nm3;YG3?>4#!L>+6 zo?N?fiV2IFB^~2({fvw^S)KG7^e%@z8D@@~RRx84 zRip_HN2!boDA%d+#JQ~j@=-=)86{t8wB|#$W6U8AvfOEkRPNV^{jLBxU`&J+CteI^ zKv9?MQkYVG_QSO%{=TYCHHR;d^D|xZUJ)emy#4K+V9V=kYc38q=b`swH z1?JRTQwP3iG0;V*37hZJ$*UMIiyb5lzsc|P6o6OdP+Z_C%=LV}FS@nHI~zO)bunt* zi9Zs1`w5HoExRWEP;;y@onxc0Sr8Y`_n3U5P#Orgr3^9e+;YCj<{(>4qa$V<7W_;B z+QE)$@)2?mY;rE*^ zLHP1rhUyTS36&|qtqj)clJ@r`6176n)40q!^wWaYlzZm1cree+UW{nrfjxuwlO*Pe zu4}B}vhwKMqr3`8sEh2=f+i@gTDL`{bTFb#K#dmIV8qgVG(C)njPQmlDxj2Ux5qnG z$Q{4lc2=t@~MXjIbB8wmP_p>}{#f zaNbWSH{{F3KEn8|;`A5?mr9NYy8a02k!}@(%!)roGt0jQ%ZnV1&&TdtkYg!25(SPf zhn_yp<*~K%`^c7W0x3lkGHrknS{Pu}Kn9x<<1!J0gUzWFdF}XJrrfd_V$bQthEh{> zaPw^Xl3YoQy!NSNE4~_Ds&ZkgjsdlAjknF`J<+CWdBmrq0;bAAQqsDUxoJfs4tZQF z)|b%m+}j)7OVf-L7}K?rmvzQ z2BirVOL@|z%1m)C&$&1}1?RXvvlE}sS{A~ofhAvgz#UaBI?86~0B~Gv6z{N$fFi?11r4s>lKQ9KCXa@RSY)O>^3o(V{87ENeM#%4rtr zP$<_)<^A(<@5T8lV?T6x{&9`1hlZDv!La!E3mJ0K!yVQRy-7D^N@tZ#~qhj3UjY>K%{%x`ANN2 zG)x-qN*8RwU4_td+ty^n8Q4S2BK~h3i2=skr znRzbLm^Mex|5j5TM%{AS#{Gn9c5A?70f*W<*?3+DKU6!^;>4cpj-=i_fQYqH-`pNm)(d?wdpB`_e!Mr z^6F)y^^#F6l3(78I;;D_6C3g($oAP8QF@hL_)DUkl0Y>%$9hGVr&_7mg6FEu_)4ew zMo>N=<2`~QQ4+@Rukc(29w)Hcp>Ce|pFn#Bp$J@r5_uksy_u9pAc>*WCTL$w#V$=K z#e(Vs@lJadgHA)s%NG}W8lfhgdN#tG+X(MkWSz(+8EZ@XIee3(Qcn}=p}IH%-Xm7+ zgOwsTFyM(gb@1^Pxbm$?AE5YsQGYo?wwtZw!ne_gePJi(@L_R*B^De|EtZ+!YuJgz zNV%H@;|*uJf=*(~UUl>$niS9&^R zfM^=hDH=o1em2UQ(eR(B?qAn%8}^c!$11GnpLEB+Zzm&FUb}1H7KTx|iw%;xZCM{X z7Xue@13#H=C#K^i=p(pLsR}(R@-IFcy%g%(@~Yl(sC^vZ4}$32%67Y!qwGCjvP}>h zkB^%jt#cdH{8whZG(Tg##z)c5%IksMFGZX$4w!w2Y?dAcRt0Vo! zdo)bM(HBe^QI1Yzr_ND^E3gqh9Ze3Qo7zl;cgV3!L7Uc()_u|fTH0T?&Ze34^|N_p z)VASU4J__+y;{GlW3F`1=&JfPcngHe`ENOC| zVI7c2y{RW&LR9h6={}z1;c&M<=}ybMR)!gj9bm*$PR@qlQ?=v52pv)Uu9QZsYo&R~ z`@>hkCmr5<6V(Wlvft}2ABt4D(b+SJSILnOsR@Z2d|l&Z2{pR1(VZZ-`kF3QR3o`< zIarPEQLJ0qxd;!HvpfDEm3Z5$FA0v{ zd-9K=92YZ2;%Of#E^&64eF&OPZ&df;uIB_2d}w%N7GfVM)RSVB)aQP{+uXFQRcwYF zZGCG|Vve9K2;84rv0IpLE2O7W)+$)8yvad5sgOADPzo)tBGmEj-)JvzF&K!C!*c79 za!f#HfK|#Rr`L?DK|)$eoIzGGLFwGy##XbCbYvFw4IG%=3Uqnb2jq{vVpV?Q`#egf z>o5rsRyosMx=iH`R&6h_qWBjellAYOAjI0I)-`n%ib`CQDbdPJMwou-Ube3jen3xt zVxCyPG|#>N-8~6uV*L(^@s+5Iku{|$SYvH$Jr$)XFs4k0Aj)#JYh@azhJIJU(N%p> zjf)PuaRa9?->UcZ?kU((5^>+(PE&3>>&x}>C^=F~lnG#=wG0=YXQnY%6Nj?9R_!Ih z$Ygcx0^4@+j3UNFx)oPRxs`C+5HmaA|rKxe!p-t#&8}aei4AjkOLFZCPhbYPhBW+5zpJ&SR3n1)w z^sCS=D2%MoZQ4-vW*VdWr&23!muHs$O&8S_Fq2PlJ>=Lu0z0)?We)cDs!*kGd+rbj zuo=f>oPE3W+P=arUA1ZjFcEj#ba$7sNE*VePgH$X zRuVQR;V+92KT9=Vn!NN8r_|&sjOnv3%^e;)oP@T|n({|LaKlH7FefnR4)4JE0t zCq^iU|7qJ!WsorU^m^EiQ!}p8$&-z6(cJ+1iDqVPWAjDyQmA>Izp^;*;HdicQ#7wV2_%dH_qxP;bFNOQ< z803>Uiq10laLZyggEC@7$XLz?3U8W81Vwjm0)(~!KO#L#}!-p0dhV_Oqi z091VibW_a!#<732&Dih`$TUITB0Zh;Ld+3ITa~BK2RzYs4%E;j+3}vAgpREh($tt| z&ow4lNZthM^~0@}de8yfcI^Ey85EG`0-k6>%WEhiUh0RKT9lYw@^R~M9Oq6BJuKqB z0n4E1>`TM>zz7aQG{ibpd!G z7?lkVB7;NLw9CB`lq-yFy$f|Y?-SHol7v)LikvT{0|(WP;2~1MJF3DBC4i@0Ck+E} zxA2jAA7=6_j_y!RK19a%_(y4eX|9RaoNy6?dc6gsP7buO-08@nAye_0utXazV_HfY ziYIs}S=5`rSQhT*I^N2H;c#ncW-MzU6!F2( zzhB@fYC1;u!csQ*gT9>vcM;+Aa#R^C*0d6I*C=;JcuNf~nRLA@((}DJKXYKi2C>Xb1uo?Bqg0TADO5zWjtez8y(H*W20Z-M)c9VChoIY{; zT>w-R)iYPF5p>EKOZ}-vpNy%7fnfjF-%J;NOqF%(@!d-wzWWri%CyX;bCy?^=n!GA zPNlSrSC)wp)8WE~H8pH>2S3;8qsWgSq~$r|IDZy<<%=b!QpOw7OIahGEiI1#H=C-P zv#dLM9JkC@ZlY*;f1XWRF%yUzXK1Qs1Y5a3Hv?w&nym&Of5POn>X}M36^t^X9SHX zlYKgkJmng2xbxEOb)?9sT6msiIAOO6>dlMTIUEu5>$zv%k&@BY$=^%?8mCyH(r_S+ zJvh%7+@r(NXTn6Du*jc_m+|kBsDs~T;*6h#)#!>`Ngw_RQk7CDFq@}D5~t&EWy)T?W_HJdm?}kONfB}jqC1Z)2_+t*Npysm=;UQiTc;j~K8 zyFE%u+J(HVVgYzb0iNeJW%rlYe!)QL7pNxp^RPR?A;WCa0~?D9F{jpt#W(&IHd9pz zedD~#9fQblIA$^J~gX)MO=qP zaQdcBgPE4Y!Poog`m*Aj1N+ws0l~Umh1Bi(0LTx@^+X-8OOaEhOv6L6(Aba9Wgbpv zZZ8p??1UGjPwi>e3GtJ>8BT#0?(B8UEEE*HJc7s9>tq!%JZuXe;*2utUNmEja8jn{ zy<)=j)$S8A^Xi==ZaT6l8#Z3@2BLq%q%^Y+Ei3Z2k8fsD&Zb}7LjeRRZH((bEz7aH;A?SJmR&Zn4u@($!7?91X@Z#3~F*VCUP9hs`z4$PP1;$ zAlPT9Akw&9cPiB8{GxF#pVeIoD->gIFSj~J-^$Q$9>YS!^V;{F%x^UkIICova;GyMpnr7H4C7fL)yWa-u0k=5RkjN(zpdFKo&E z;!XDEu(_;RLpf6cj_EdNwY^KK`urN*v$=YMyrYs^Zv|rdW6EtVc&y{ErxXs_M|3e( zb1q_pmRwUp5R|;0+zVw+ZE32m+>6=GY&y{{z}|zYpJu^=lU_TI+4enfLo0uKn6BQS zy(Ub&0DX(r>P+Lk`#Jwi#JwZ>%~FodNM{OLM*M$bag& z>{nt~m%M4c($^m=VXq0GvjzBQ^oR@H>P6^3-Jd7xD` z>w}CV@x_%?gpq;e(~$}*g-eX z!NhPE-x4?9y3efjOb$+|`H%;@yJxKH_v5}kWY5!w>jZOpk1chEwalCwLW@DwqT=9D z0rggE!lf>#daXZ3M%ntAGV6tW`CH`%xi~3FND!Yr-N@E;k|>{W4T=NL9cI^JhyJX; zLTU;ak6PSdi-j)Ex$akCeD7-)Lq%SQmF(nR7y%kmacc)FWS&Q@h{e;0@L6I!l4%xR zcrHG&3ii1w6pxUr+%^-cwyqkc6Ee68q^3dQy79?z-=>##Qp{?BZ#<1?F83Z2ixLi4 zo9Em4NK|8t6kU=iyjjnw`ujkn^d8djGfjQYuaxm8jlkenaK)CC=@{*#8j{gy)NlHl z%gVvNPCRtWXS!85A~{U*p{XfUy%WD~9$)#0cGtPLzG?6SYbpgt>*o=P3vzvFEFFx# zzV>tooH83Cgjl%n$Q5JmQsdS{6D2MJTGE_?K4=Nwf<%80;0VHDKGrOL5}7i)`a(kT zTKih0|Jq*K(O=1y;Dy6+%&_i~T56-33#kK0pqs_?MUFv3oLwEoxcMf}H;wtSV_X8c{(89TbC`V2kfV2yU?4X{DnPy*Pzm<=(-e7A* z1Iu^KmL$=ROHeG}VOrWE$ftWAdT{HRdnJ!#ZJ>Xm=YZ7hc^!>00a{h&V(L8o(h`Ta zQxi`P9FEYWohCKJUs(Hm1Mj64*hZ5{zIoM&g@qMuR|jCht(B?eg;gx5S`noMK`o$2 znC_C+kHSXdAV*ZS7n1ObQl2f#<#Vid7B1zEXc2Tr0@vQfv+gQJ&EJg}J*Yv<^Iwdp zHBRtx@WhcboMF`H_ZV0SSj8UN9;2Mz_6{r0T7*`@k$m?ab{qx_80oLuU4g-JgUFhOWFBx{(Y20H> zy*O=ZxGZm*o0;aWy{%c0)nw!;^8fe_GaB8VC}n&uSFE<2U&4A0?f*0N{y!5+GX2?T zUG*k9xLwjZI05Vd0wvy^)gbEQ2={ZF0vDdkX}_sT$cOCc7jvj6XALGH;Un( z9@Za12JtSc^&PvS~~x6pR*7xFyeM zMub^PdF_+JG!0!~5kNU}bXrQT61S00cO2XVb#g@so&I;XvL_>IGalx@tdN+$x`yN{ zmXjwj=-{&s&oM!BU5~T`I@4xWnx(BBejz%+Z4d6<^dO})&i!V|%n)K~y>hHEeCdf{ zm(^i}pZ~~$<`(gdIxEfjaFYK!fKkMmJgG9D+i#qhc$V!m7dz9W2=A^>2Mda= z7}B^~C3ZrGd8uTpRK&{P*OYy}z##0Q=vXUAN~AF~5IG0e8=31b(0}+|;s+ ze78L@{w<799ZtAgB|vDIiUgBDQ+hI|x13P{BmHNtk#5^Lx zC%>w>SLadL+_^=Fc>!I~`sE@vGn*}gZmSTw{+$#Q9i9uW$)(kwF;y!<6jIdlwIEnu znL%lZu=wAt*zCU_#cQ_L$eXcA*@?y;hPHy!K6y(PaX&unGhbEhqfxJwAC@nben2Yx z!)GKQgFF@A1d0iY(SK)?e>3xr#Y)9QEjs=$oly(moH#Tirg17NmsuxHMB<44udabF zV>JEeUAymHF-3@o^956$YQvC~p35!AVof@U%qsf84fcN9hX*8Wd9ROOLU5I*jqCn^ zcG|h1S%QhV(-aR;bjzs{4f^n+JX>l)#ShFo2WkK1B!$y|t-xw=Z^Y93vta8MI;U6d z_dYo`915Pwh0*vYxHXBt(6@)G?mlV)aN=1O@mx%*bHB6BP{TtqTaxm)>P!)^5MM*u zYM=jibI5L*{IQN1izb)-IbqH6XU6xF81XZWBA|e!x+UG^23JO=JgD?9cEbmUcf(}k zkt^%nr@@oP8V`+^p11u;=I1!mxI}wF4fnM7Ij@;^(`>=p4(l3W6TCuAP`wVuP!HLV zrQ33si*&(L{|*>)%y7^!qbIga`&O0psVd{F-SsxFu046j>2sofUQZ`K4Y-6ODq<_L zlE8N;*rxe3EixFs_@@hot(fI~5Fy{ehO!V36enLlp@r`~yfrcU9QmCBO5BmB2-Y=X zvMqjeR^6bx@0U>260DMMA35BYY@_w?3mg@`!Ig|X1#%c@NRsaa=0%sJd0i zo}KuwR7D%u#-l60j&lCWxns-kv?*ydIAcv?BQpM3>KasAx7ZbG)*#nD=;rIfQ#$xFVaW% z$o{Te29=mzY|}_2TKMjC=+)VB7ft-mCK+&`Ikn0>8_!Uddcz$vQ^DEmtm`K3wu}Us zQ55f=WNI9k5VUaU&issyBptU}iX@IoS9nVkJOG(q1`>nybiLp*hrjX_S;%@yjIAXm z?QQ?%2_xqsTRv@uAD&#)=Sq&~n& zTK|c%LLUX?H#ZQrk;ec-px(yo|Fv5AK2s9}KMv6vC%5V3p%Cog6QaopCTt8>iBKg= zZ~B^N$JaoM<{cfRj+UP`Zo0&}IW)wa=Aiw%4=a2sw&n8&THS@L*BKLSvg*F42|cbF z|LGU~gSmq(*W=GqWkO+0367a0ULn|F!vF<7|Iqac10?ZuB2Kz1=R4EWBf!_63n~T| zHT}KG+F0qp5_m& zA3dx7vwICO@2OJ6;eQz5yaz;U<-5?R(GZ<}yr3ss;p^#*Jftg{Nrb61%8(>8sQP3R z3H>UoX|x>rw+^c%FiTEvf=N6B>Lj66(J59@(&uiGyUmzi%{J;?<8AA-c+oo2nIZCg z>;9q6$>utCt`#labs{#8ibsY*;-)~|Wp9sVVh`m7ljZK3?KHWJs&(Zu0<2#?HvVPK ztDjTKNrls+lft?#D2rMHW$z-2B1qd+&I#g7zWdsZ&KJEvIT8~x6R(XB?yM|5BfMkr zY~w^-8GnL2?O79 zecW~)6)oG<@w#3%Y_mI`xhOo)8KbX13DiR8OYlz0YPB!Xa{2zIabV(@l*W)7NdRy% zCCao+F&mLhwtuf|@;?pjIWtvS))Zr~;H^(2|Nr=oZ9h_X^F|xjJflE8zz^8g(m|f8 zjj8ZiIu++Z`yP3@@_-Lxe9JDRn2pRX7BY*J>$dp$`M4I-cW7lW4c$5a4a`bbhM#kkvXy^~(QS2LiR>{fcPH zaErZ0P@dR}hHvgX%ZKPbz5Q0Se|9lOykZN@U?iOx{JKMYm2Z6auzouD6L>l9>k59n8GH`N8SR+9Sz%Tl3} z1_Lmjg}}+&Kc;-MHmRA3PUaF1Yg8BjgCfB&j{G}O^z+dp8Jzgm1*s}*nXfjHGyFi5 zIR(eIv055-{F1*UeZEM9|AZfNp_5JKYehx=m3-F2u68IhDezSyI8$l)^H3~OU_@TI z&;`B_daL?zUf-rS*tKvj3ts9s!=^4FcZ3@BCZRxCT zS)#dqmoYDH59_A$)kjC`Vb`Z#W{~t$wc|e`Pz#EPf}8!b^CRuH6OIA{jM0TmBXwPQ`H~q!zB>`t4sXB3M~hJ#n|<`~T{!f%yJVrQ6Hl_Ne~-gS z$lk?2@TI`$O_7w%av*1Y=yIj`$AEVGnRj}WAOR%@&=3I*mJ%ubw28p%)Wju)fOQ&3 zAZM3o7P5(@aig%UR%PUpMG{g9M6pN{Knz0dje(FG{Gc3IFoLu8i7m(8P!~;h?6i?H z$9t%z-v!~Qp8QL3QWj?|%k*6!n#2~{c3aW~0Q?{{m>?^rTVHZpwM`h+dl4yRvAv$6 z0@-vNTFOYvaQV`5XS_!7e7F|`>L85MD$^*w{tPnN!fn!L_!lF1U4H5}dKSgkKEFy( zyRzPjJ=rVmN?R=BPsbR911)Zu(iQNUuT9KXRO8_0YkehteSPZbR#`bC4PSCxKaZ0H zzCa}q@Q;gF$Kw4p)}Y+ExeQyyhl4voDCaj3@8cU}{cx&&*TSU)# zfjcPn7u3~F38f7_jdL6dgK=XIx3)|BL86)$GQ5r`xnx#-UCr`yHiGu%tCn(DhDo$O zamH}x&>-73CsO_c0LBN)p)ASQB^z!uqIXnknb>yr-`9KV`Fb?dq*M8I2@N=Gj0uI3 zw0enlo{Ysb!)A<-pW=GDT`|}(3DDSq2Djaw86>)|p$8K? zxJz>FK4EhYvm)Z(@KQ-}gbH|-KAIh+KeD`s{=%~zEaX23KdYU}(=qz%>9P4NEz!_xw_l4MbKJ@dn28PkNiw4-s!At9X z!~%0r10Bm>Zy60@&VfA-H01DkW@>Hkjv(nQEaj*_duQ>-`oLo^Ey*l+EhEh_xz?Va zfzNWf`VP+zDJqa(>mx#l(8j+%F8OgI@GWPu#6h9rTpqg-4AeKfnWd}sW#KIixVX+j zN*E&Cdy<`sOnF4ZoE`*s?V0Xk@YZf>+IY~598KGT6{NW2%iUrSRJzP|3B-5e4f z(zxQz8YShrJQ{I*el6h6NmFyFDo$ji>61(d-}lIoxDTN_T^l5OK)&G!m)515x*lUo zpnpdQJ2KeD{9DzlKj%?4*THA(u{N>14;Jw1kaY&E*A1lhTAnGWa{Sjgy>)a>J}tBh z{paoA&pa+qw=h-2=nWe_)ve%;>a)PRX1T>Ninnx3XWbc|%?b7;Pjs504$ou${J(k- ziteSnD>T4#kk@my@&ZsOO2GU`7Q3@6N`|Y;jt{DnW>7wXP)-rOT;~gGwY8efrrU>( zMjKFSK7#9hPDHmHM!yal8*C57RA98XpAWxCi70!j1&gg^Sbf~|i4phsi-Bm~C}UFa zM5g2J$G=6W(ehjPy{^leF6(pu{aSaU`6TXn({U`k(kPNkz7wC5;74O*dnuM!9xdT%J^d&&m#gbkhhN!eop7YzP0yoarYq-POSY>zV`YL&>+mKJ36a)04 zIVX_70*zu7eaIh|Z6ys!U|O=y>WmLZEvH}T6kXj$*vvnW@=9IF!4*G$EnjWmsWEsf zq6S$|Eb>y?{~{ZcO9jeVyjOaqa0h)axIODQqWIK;l>c!%j@k!zmF+PAs@c~Io2(B! zlz)>5T7S3wFe&k*SQ{@?l!-on<+aii1j&Vrbp4s53xd)9`znJKld(?%f>ue#e$8I< z(HE8L2D@!m_j-F_Y^m`9$dXH2FH}~x3>`RZ&&M}sRQV?sGYOL<+&dHcuZ6({H26g* zEKNaVnH6pdQ|69kudW1qFl_#QTlyz@~K9n8u5>*-1i+umD0OVMMtU*JtX>``l8_7SrwZDgEyQ%yIZCN~iRLk>jNihsNXZG+y@!X6 z$~F%$zfyybK%IM(ar)aTU5&Lf-j3%Y^;^i9=Dey&FDp z(+}|LJ-C}H7GXk-uWW44QlpA3%F@-Y3;(Mu0M@#9l5`;~)xN-G+ux?56A2Aj8;_+b z35iPUhkGztLw@{nK&(h;m1|_sxf*^j=W`jYRLHUmWkNbJ5@bbHJ`opxa)(e3*|MJ; zpARI(V!PlEx$aM|V{JsTnQL^mwdDHx78P{U#&b|Bg6I+k8AyCi^wAhb>zr!q_SFyo z#F)uod7?@zqDlP3SLX^K*az!IW%iTm@?u_3`=7&|9N)OWljPn1| znD-L8CZ3yR2`+TXRxd}WANRb`Z(8bELFu|zl~fHsf)W|%9%gC?d+&tadnZ7E^w2^Ggx-5m zKvAp+sC;t=-PK+9Dev>V-|zin&mzg)=3H}~GiT`#!#oOwn!X-y)4W#`&DD zL9%Gehrum}4Pyo0UQVa+n!OgYd1$mU|JeOozIQn)Rmw6f-t*6MT%8fQnseSIwgD&l zu6tuUYRNcdSw!4P;<}NecBdLSTGgKWHvd3sgi{)9dmm4+5!`cV!JSq6aew$7wsfo7 z} zM7)->-ni??-ccl@E3ZiGyxY`HS|>NtJ&fkZk_;0OtrW42zyr?BIl+N%f*R=qw|+(~ z#UCU^l1XZ^1FF7f#|G@(qv_5j!063xHRtSdF4!}{y$5Skb;v3%clt)vcD7A{AH7y{ zo6>p%mmA@B{as21ox>Qr))Q7^RcV3Cp!UU<%`bvjETzZ~bPJ%Co;N9xm`|3!_>g#= z`~`Mlbph=q)QQYlF5Dxpx1H-@om=|=mq2L00(wz%C&nY}Q8z~WYMAm`W^LZ$?R?z@dDBEo!)F++;d5lyIk)#4Oocw>XE{CN4b(sV@rq-E4)#>`(Wdk-yDc?G zyI2ofKXg4TjOJ3<@-Q@a$8c1Fc#v>poWzk94YO0Jo|kGEU%OvsJd%v|$TjWaQShJ@ z*Qk-uXLobETXoKZU9szo@QCWOU6I;tbK_k{uni)DALS~eUJ^(r7Iv8k+OfJ;tUS0z zNGj`9l##XI=Gb%4Q(S|ypjt5YYoEAL=-oCG7{y&B=iRdl-TvvSlu4tkg29T2?Gp~{ zsPj+CC5;rM0uESjj%TYLVNH~~xZia2(a`hh>rFL@U+8>eoNrkVOy?Pz4DepfzmRdK z>5Oxw+-N<6PHJ4bceJAsK~SSgPSETnJb#MZsHA-I!kZ@cJA2{sTi@PfSkuJ_#9BnwZc$?LvDf1IY;N=E!mS&bx3&9gWxeOg?;X<9k)FpeXhXtt*#zlFy0`1_+DC78M!9bf%g;eBoA$ zMHHW%mys`d^U7Ph|GmSj+~Y%<*2M7BnZw&8m=@L3Iu#Fn_N;Zg(m?Yb`Ej9P!SOEa zV50nZQBxWpOyJI!Oxt2|$#@riF8O-H3%BJDy?3XCJsD!+aaM)%Vkd*RPmQS^8vP_V zIez3smx5F5^C6cl+G#JtuzL3Sf?{b)Gud;8T<=}ybRiy32%_h>F>-9&xJ7HF|G8znAY5L!xpJ_%UzObD(sj1)?$FXi~i z$)}*Y9^*(Y=ff+k_MGuwsk}S3vG(z$($;bt<}&yD=>en4q$>^4w+^tNd7s*z3oPlz zY##_i^i&z#+aNhi3{*L4o#};R>YN)HFeX~y{FB{O*(To#B-7Bm)?`oeI`%?0Q(<*- zPf~4?nfgv-+FOICVZ$TGI**9C7w-CcPLFa~aIXego_lIidw0p*3E@E>bN;uNJMARH z(-fA^x*3IUc*qM+7Mk57J#|F)XnJ-nqfVW*>4wx?53>(sx~ApCg^=y&*+K3DJ2mHn zCWXT%z*ihZ*l4Dr7RQr!tBdJ;Qb6d;rY_Wb=iK)`EvHLUa`XP7Gg3EJce)E-j^rJY zTIDZ8v1=2Lvo0ayVKT3z??*D`j^`=)!88g^HrRN=?!9x$lNYmIbO|~7;Ko5E=D4k| z2gs{Qc#YXPrTz&V8@l3Bj8$J;NEXy|+mcI+n0`%4B}MX@^IQ=KdC8!X;FO7QR&xNbfoIG8m1-kiTw z`M5xu;OCv5dB5uZz?@MxN9}W*T}3)66BB)(<(DD~t~Ht7 zNP9ioU99tAd@3mP^ghBZsVgCVrNl_J>N#P71U|<6EC$g72BDth51Jvzo9<6yX5Tc9 z(xhI!xX>4`5VcQW>Kd!cgbJ!l+0illDqkkWWp^DWT7Bz9T@%4Iu886}_|mM2{vO|p zEdBz=MI0vhm%=FvHK`E|HX*yjIXB%I7t=-&Dn=m14a!I zOWnpRhAEjhoIhVol-|EkPLoC!nlVNeUT}XV(-Cq%;LyA|`hw_1?niBU9?afX&?@Fl ze57b0Q0$LLMc`DO5JXQoO#~fY>>R+{P4#o zq-PubhMsrHsneX@?=^t+K&HU?;AfLXG+Gxsz9>I3R(@u)V=-9P3UPvvq{`6u@d&>w zq4l|MI`I5UTZ2BYiYvdLAA{ z;Xh!iqm|(u7o&DQN%zg!(lk0d$p9v4vt?6fP7$_|*Y8ah`#(MmV!8RWYfJno>5lQ> zHogK&rR=DqVGH;62wtw5ev~+sRJK7m{rTEjVq}Ejm0pR-M?z0s>nmen+^SA22lL#? zan;XXeAF1xC4X46p$&;Y%Hh(g;a$vdT%jo7q|{fLpj5T@Brf;5Qj);E?kWBoF0fRl zns$VP+qJWnuF4-Bh85pu(bDegN{|gEphFNj9?4yT*ToJB8EADP29EH>$-c3TJRWz_ zaO5zC{hZ~exa2m*gvdb#5ocnia`>Av@s}f^l9$f1#J6pnjjpbD9;X#Eg=e)(MJsxB zm#Iy>OGYMsq%^rSh9i8}0;`T44Knofu9x4$enXaiF6E4DMPmp9j-YGci-qm4$+0U~ z?%~hqD{7sUindh0Yr~hN!o+<<`NU0`S4q`O?<+ScM?G_F=w(b}0$yFoy?6HQ$i@bTOpww(-zS zg1rcz21j3D(ls_V_kvuN)UUq#lRT$6isj%513ucDYfE8=y1C?NIwjA$_Lehq9J`4^ znqnSDPr>{Kq;zIlMd8I>QzP8VPqRww;9<`%nQ?B#nrCoXNvP>`AN9UxQ_ib2;IP_s3!)=JgKjl;{(|)CAw+;TXMozj1I)U-j5cZEH5Yji1?G7}ljcuR>Re z7+RMXd}(y^ibN-RzY>bVyn509c}Jl6S;gnNiWVKJHd1bWw*3Aq%J{Z6T^eP+hcB5G zMa?w}nrp;T1w(w;yp{7ACPO?#vm07g=yY%L8TKbHO7iW0Z_v~7*zl0gydU?@#t6Ci z1kBGq)x*y(WjZr#ENjxaFoXqvL5%yn-wGw863Ie=kL53$vw!gS zr!O)o?qU*MiCmV#=NG)c?%PwPlGOI$=y}{AkBvxgP;Bqq-mA_@QF8fJudjdEttq%O z1%BtTs0-QnNU^#NF^~Q$yeh&x{A`GLAANp>irm~hMQ+@>@POaZ-O2ni3rv)-4cAyM zth3Fntse3h=dWScQhW~ZwXv&6b9NR4?-50xe-DA~X zQp&lKFnAf^qdPdQ?GeSB{H6K>y^6X9E7#|d_Lk%)?7rJ>tm4S;#tSya^`F`0&~k2$ z!y-eJd8^FB%A`sTF79}%(cOXa5=!rDxjuQg9qLz{-1+ITA7^X0l(!e(1=(kJrtPG+ z?zoaO$2+0$ZgO#tX@4>~<-SH}}pb>kyJ;8QT-&4-uJp-$kAMQVeNqb(qXsi98j6bB0<#WO3E;)t+J!Huj zd*=?TGFOG$!<9}?GB<7I40k8p*!@29pp}RvJM+2rWOB5XONGO;%R|Y14SA|g1A`)$ z;I395RQ9FzrmNEVqIrW_%AQe9*4^tGZcT#moS)O8({uHv*Bi<_!E5}8seX?{44nqA zvQ(x5J zPUN(G{eMjA|Bp#cbu|K#>gwv6npz|hg~niUcs!x5zM-*+*xXENA(LC%+9>Vq9UYyW zU0vPX-90_My?uRs{r&v|KnDLHLw}TENT?^lodf;-eZ4*1U7a26ls0k;shQZ=P+v#D z<<^^MKswvMje{(+(4k#d%JqdYa0|jviAyrG3TB!QD3`GA=1CE4QGy z6kb(}CN#ECx(7zar)Hi3nVFuN1TB0A^&=z*5d>#qdiLew`%j<0(g69o`su^l*9$LR zEWCdEadnNBj-H;Lj^^{yTYzW&#jCd;SH9BF(b3YZepr|uXd_hRC58L&GcI&DUrhcH@su#?jMnmkza;D;~Sb=+aZ1+n*geTg$9QJQxGqskPU`M0o2*~mkSH8 z)@1>b*Ng8U_4Evkj0_v-XuqzmtbAUh+rY@o!otKr_xZ!(!mGE-v`ieE`2==s=ikD` zytXjdRFM(kap&v-e2j&nn1sr0--LpS%95VU>m+Lcqer2r$vo z(rtj?(S3P0JJQ|WH8lT~b<0i>aY=EJoxB|Mivxs$Xtygzx4xI{R8udhoE|*k6`z%p znU-ELE#y$W;n1DHlwt%5xDc_mqr0cO6F4()<<7R|hC1Ntjl`C=&TinBogJOMLzA-r z$l}`%%U>WHeO_5v{YnD>(9+VZzW^-s8-UOQ(|lQe`>e02x}*?J=zB%S#=UhLA1^mM z{bDaN#p|*-EzY+!)@z8Jm*XulH`?zOH*L#(9J^NR=yq-QxB>)*P~S)bin}{niH!gQ zxrNx!0HCyyiS-0L22l|2=V)o~mr#NucMpy|d-ZW;_0!uI&!(oIzg&Fx?%kU=Z-Enk zeE;_C`(@xytMBHfCZ=D4KkvCPM97N{3QI)}t+Me72y9_~MNE65y0IhT(OPd;s1JAH`QZ~rBmAu@p=@_0>i6^ypb@vU8PfiSVcXaj*4fXZ(4o}WZ^ixPA zGKo-@;CbWpnVas>ITa}2YLuSAv5Covv5}F9nfZlRU<^H<1I#VV&&~lK|L|shyoW@< zHFS*5j1yCDZ)cMAC(`kYiVJRhjqs5DQ0BHbk@4$=19qvo_L}lU)?K2)Jnw6QJ(4@< zd4;4@uDL~IRyKBzO;69vzx(|4AH?I+%6y$LI8VdI zy@r~KaSSASHEN-@z*&G(I2QIrHY@yVr|LG<5U~EF5ff z?-su>Z1}YBVFN4U@{8v)1BAll_-OyzqMf(tW;ZJMP04$wX2pkuz|u1_bIWTG#d*aw zcsv@7tFOahapdefD>}Pu|;uIYj5Z#<3bpPtD zJoxV9G{cB|(i@g7{QUgF3fCN5J%bVotFeupQ*S_AU8AF0dG&l|W*P+F`NgkHOdrVk z2{8f2VjDiKzG+X>#qmbTnT-(zkv!L7b zp5=s&_be~>`EtL#c_cLWe9wj;!6&e|(4ffVtlYf(Vt8@X6}}mCb}ftggU1%9ceG!v z9n-&9KpC24Ib!AO>lsqqG1h^|E~uZJ!FfsWDXY&Vb6F-;BWpV8`33jvS5ZHC+TfO@ zcY0NMdVESgf`G5Vj?psHeOQV#g_{q9;u2u->1pAQE{eUbUp=6I*V*mXPPp>;;emwaPkS#v z2}&q!nS8%Svp_1$>m|l2(!6D0U&)oyJ-Ig&-tlG2?%g7X)X$tadGW@zo7VRB-tnmk zB@y~ZXw(k}Z6BXj;cuTe*1(tEsBHnjprXrgrW4)pbmEv~M-dC$m%p|w1XeoHAB;}h9;>Wn}~ z2NO5L7nV(nW;?=n^F(y-i+{l*B6aY{kz>c@j~hD5_exk#j^|@FjnZ?GTe{5 ztli*l6j$8YOllqdynyZG5|L89>XwWmR2G)P%d4vMVX&OiYBUE8ory z+D;L133ZHn70;YIdqzX^^oiptC*@>i1<(wlveM!^mt4mlzoi{}_c=1zLL%eSK7+$g zHB<6~nAP3 zkH9WLArUe0eFqQ8$R3hDDEqAZw(i}5&0hlPH=jAJq{NMTdGsQO;GNX!35LzvxAE=Q zzF}rza?8X>S5Hs-l93WaNvy!_r#6OK7c_W!KC|b(TxHMT5RwrT_NrmbdUvf+RCjAq z*)=7*M1gBM(uegPxY-|@9TM1lX-~xCQ#Vs;3JaV2`d`vAaq$aE9y)sDu$-cjqO#iA zix+h+>7Un7KY2ohKgdS=*!g-Uv|(`eN?Os}3lz^$!#RFYS#>=lV^ec`H#gTOcGgy= zH%&~9Z<=b+Im3+1E?>BD_x?To6K9UTsYFJ4`c}q$IYH-LIRDD8(8WjKiXgMQ-yQF? zFwHI7#P{+I%_eOKyERmM@$u{yZZ7^^{5!<ZKx3G8f^z!u&2n_P~_4aaq=!QvD!)sS>S>1nNZ}0fzk^MtAPj9~fe_t;TcUMR2ySMc9&I(T< zVN;G7UPub1V}MjpO@GYH6$FH!kg%|@$mp1;u)qL+FAr}o5D{G6O^-`Ss8~LE;2aR* z>*(Me6lk(_lj?cFIMr$X9RhwIS53M(bLvZyOPZUjqr~0St$BMhj?wNCJ0ySVqKU2J zBR99FZfMOoCF0$gq&0z@VUz0KX6q`Hef=Jp%*mjV+y=tZm(&+*a8oamqB{ zItjN~*7&m2P4G7rOBK?~3q!8nHxA?9U0jWCP8Kz=dgSIC;O8G05*`^78yg!JpOBOU zT91zhztgfZ(^FFtW5R+1{XCyOw0U4}e91_Geak@w{U>g2-o7D8nW@RiNhu&kWoBh$ zWTYg-$HhcNMTSR&ghYC1o^^ml1$cYdn%{GDvU^~B%UVxRtA&4XL`)nEmYAHDnVplJlbf5HUyz@ho1K-NotvKz=Bm7` zw8Xfm&_G{Lk0loU78Mm0=H+IkB_$@r#l^v5 zqGDph!(nlG*#Wk;_6`ppTVK6n@i-y!nz557V5Fq7q@c7g85WyTTv7mYb~yckOzdBL zwL{x6Iz1~VudukZ6iU-T8i_#EASx^1rG5Fl7oc!bHb4n@@HMJNl5F8FiAV8@l8eLme zSy540SyfS0U0GIIoS&1Pk`x;q3H&K63YJ)ciamQXr>+)Ji^QUlC={x;2K)y;j!;oi zT9}`k4FsSnt|%)jtE$Y)PKb&Quz%#~=n)eQtEdbQ&(F*#1@Nozt<7jO3W3C7EAmsl zjUPm$WFycRkViK*wSYvrnb_3a+|<+vEw!k*ZY>gxLe*5jE8xXN1-Utypu?c=8Tp0f z_)1@O=j!?zd}9;Hj!`Jk6D$^kL02QH%1cU%i;4^LbBb{dI1B&_hi4{c6_pjlMJDD| zS0Ou!Jt7j)%PMLybq#IZ_?p^k3>wo^2hWTNORhkn33z-9g#t3MPLPR##GXQKCK3Up z`Z_$s6d(+bszKHussLT^GI&K*O;rt+Kx}PD@HkX05>W}b zEh{UjrgVUEK~od5x~#k!*+fW-FD!4R07ya6c?eV$3QKBj>&FzJ>IsAfa(ff9A}h7B zfz(NA=H}#YHZ?VYj0gzmJ|2$;#Q{(rz+iBAY+VDfiPY9Q)QvY#M@LZywK&d#>>j`ns?`e*}0k;&v{Ai#(X z4UKh#dO!f7p}ro#YzBziTUtBXdpcUHv+8@=+8PKAjo@BlOG^{rwh^#fhr`#m^z?Ls zcKiA$#HN+Iy!n<>)MAw zv85ZNt6cyOD4S3ytxz5fxN0GhTAG{Ic>-wap_)x2kqnZxmZl~WrLPTzu4}C;sv_X) zNFC%BN-Jm@7>P)1ZXvf*>M%|1UAVeNVtp-+gsp&Mnz0!Uk8=?SEZ~$(Y47Uk>}aiT z21$Dxz|#VXHK1hEOTmx_`#^D_uM_0aAWQ6~ruXd>a9111xSB~MA`vi953GhK0H?*{ zsBAS7o9gR`_0?!}A`H`5T~$q3VgZ3I6wv*~s&XWj+}46G&MK&=DlI4~M^>k# z6WYn7rUn29+(My{>l<4j9gSElV4hTs?Cfjn8XO!3#g+cP?j9(G2Ru>BO8^nMg$!8? z6qq0+HPwjfS_GmBfx@6bsS8(!CE)AHg&r_`b!J8}qP8B&yg@&KnIVEG?Ty$*5^y03 zBCn*P22qipQe0L->LoV<2&85b08eTKRWYEawHa59A=Wn_GLhZ=Ap0B~9vOg&WBni( z1?94?t_~_efE{T3gOURQjAvv`byWo%#1s%D!9c61szM;E3AJ(Ya9njsX*H_6h6K#e zLL`xzfOiv#M4+?{B;qYy_`MDFYDZtEHu8wXxAFwh4ocRdgyFyNr_8;DKyz@G_t0tQ)K0SD2gq_D6cKR>Ua zu&AJEcn%csOuu5>Y8htNBVnO2qOn)XYdRZ!s_@cbx+=7z)jMQonlR(UE0wb5y450z^v{OK!>FOpmP}(~|)pB5X zd}3mtuc-vtHPGJ+N_fDdK)JQ2x2vlM8fYLyf*}SXBLR;_BC8SQ<>kdiIoVlRnVC6B z=|LvBM399y;BiOcfCreYvx{2o?HwGN7#|)Rot*Azp#XR8?FH-%0Z={QEi~Mym0YL+pak@|wzjeo z4BecZ^yK9Dl(>|bQ?B(b4Fn_#iKs;*Dp7b`9T?7aSTu0{vhtFG?5x6)Dr`=C5m*XT z)>PqIC|xb}AkIRwCGd3!6(~THLCkCK=^GpwpPm^9#i`-Z0Z>C}@9YA;42sdcy?~?s z-ade-3rr;dJs1RFS|i{Ap)fP#mbfm`EIz+h!y0g{=T7#|fG6&wfCA%6;^v>k4aILC~)Q!w<~EU@oeM z;u{XcSaRp!#Ppk0P<>fhm>Xznp+F%4nk_((0>!|S_%)MZu1`{w?+<;h%#FC~~H?Xp?Fo0Sq?R+bV49%aw@xhRSrcw}P zft|rrU*FhJ*FasWp+OX?EG;k0%T5A#;zB|~d;-Ff&C~Z)He(SLmDx#o=w_fPuwaMHRfbBsV7`AwD)XDlopHerSHQ9!=@2ZzO{fGx!@AC=l+! zg0j2>NMU|{PF7Y{b`Ey#%Ni~1mv^t1Xz1zQcA=0sBna$iP$oo!cnU39A@mhsgo8CQ zysW$eOcU^m(xSrLjI_j9Sa@)lr%#|)v|+>3fp!c$IkBJySz8U=Q&nDGR#=#mm6;S1 z5fL5?YQgx)(Xzy}JHZqPhr`PNDZs+HIk{OG>B%4sNJ=bdpMAM7KRx;E&GP4! z<+=J&L{%9eunJKPAqR`p+?*Wn1bE2?i+)Hz5&=yY+3Bf?vC*M{V1@7E6?RIfV3N{U z5gS`jQ(jy~jg@)1`QVw<ZdBqt=s0iObyBP<5`0Z76_LjwH${QUibQYvcTxycC`CCK{L-j?F5 zqP+C9l%(XO)XWUPVFC=K6rmsy4hstn2?`Dg21#*bENBd*jo}dyeqJ6AU7y%^dl?5+ zgS4O|D>E@UF(x)DGA1%QHX|2#2amiXb82dGVQ~pDAd3qP4UL4sfFDMN1qJx~K)JZL zr-z#xNaEc+eFFmmg8Y3zPVMdf)b{>EYb#HCy?_!pq9O?taKb_ZARGF4gCAc%UvF<8 zt2-7JmbQ=GK^-6vTmqE<_oohyj<$C84{Si5=;&a3|K8m@w{9An+`4UMVQzNE4E&fH zTet^@1$g`T`TBafxqG;{`+;5r1o(M-x<7g3Xy@QyXK!=&uBD}ot?fhS$Ig!&92{+| zY;5n`GQDc*q<<~~QJfs*S$|g>zqG#MpIKmUH$agbJ`blbuZ}XUeMCIcv=63xs~-j z3p1++Rwj4sT-{xsJbmowU}I@%aofcBs*$0-{$<_ESFT*UaqYVC4I@J%qbuN8@B9@b zk?l{i6Wq;=ZrMGsxMO_vs*&Esi`wTeUc7Ko=gc{gJwm&73Q6pjQ&m$wDkCW=CIsqM zynKQZQZh2q(gzO8%E}(tFC#^jebNUH9hQ?jeB`K{g39qj$Io86q@$y!b6i^S()DZC zZ{9XDyKQpA@Urf?bD#(6CsdUcRn*jhoH}(aV4s$XLxLKe0ZR@XK-q6 z;qB5YEh954JAk%TVEgv%J9Y_)2<_M{DY<)x*nxvbjw{H^9X=o>Au70?e;Y5)CQgox zJUrZ+c{Xp_w26n8mv<}Q_Psl&V%sH8?&ap$2vE?!Uwqcr*+Fh@1DkzaU9F@xFIPJU z=SL6j7+x~Ga@pXP`7J$7C3$&84ZUmn=g;fkcJS~Cj7kLKE+#TEHa?}G3SHkhGCn>H zwj^IKeW7D!=iJ1*m4};)os*YZLf#`Rv|}sJ=8f#k4D`@e?bolX%PSzJ(?A=ybo6xe ztn~HaD2^ShpFYm_^|V)kAsqlpGHxEeUhY1@es1n;ER1xkpBWj(E3wPl_KIv-?WK&) zEz)sqW~XOhWBUAdg>O-hx0Ie{`OWOa$RJoRg0)CT-^l0?*bfHV?t>FEqoWINdl5}<*QUr#nB0h` z+WRF0nO}XPqhaLX<>cJTw~gMtW`;vR`*aY`X$TYouuQl_i=Q)4jkmpp_{izuKl9?BseTA(90_r0Bf-eW+{c{?hZ|dJ3+ko%n5NdobCbzMnj_vRf z9cO!^LGKP_wOJh?@HU%nA6X_fpm+9!Y9MaI#(6e*DtEOlk zQ;h6nl)iA=^1hwTZ9T2Crw(kTovMAZA?uZjeP9OZBl|W9<;$k#w+ujd(Z8g9;hM$W zTUQOv?PnjZiZNIUILwkkQ|i7Ui~IfMN#CvxGUut&o3<2`E^VTpn4_g1t3t1dD#{-? zdOaX1&f~1iVKpUTZlRNxb+m5STwn@~VLU9w#w4z?QJzaLhv;vv&!H@Ed(12ClU7t! z>)6~#b&!>{%{kT#g)DOFa9?d@tsCcnR(Q?CXWFF~i}akFbmOhP3(Jdrgo-3<#*O!R z&Yz{(K5`I&NhJuJ);eVwR}g#ex<}{(N7HLJ@7(u{$uG?exOGx?H!aF@ZvjFZmI3|; zm|{DFc75GjIHb6Hgu9;3JqOjny9rD}&$-7h1g7L92RU3<*;FK@Si~s2 zSAdIlwzH#mV3I*pU5z(s2e*B4JCn#EaT?dro8ftz#Cet&q;wT)B!%zT>Fs?_K-FZp zy0`L*Z+gR|?&fWIR{O3q4dUspEdN!r1h3%JqnmdMi|%UVaCj@JdSFF~qm7-dQ*)D3 zE2EI=Ef?>n2BIs?)fLt4tm@uL$)3{jUDCJpR5b6pn{VL=pylD_*>go2!Eyy1F3I_X$WN@>)coMBtJ@Bp z(Z6y@LrzjyP*_~%&@p9AU85^HM>dk&530cy#dPmIbhI`zF}Z!)_?nT?b<=xx4))fj zM(0l+KXzPI{nRmGdW;>TedWuY4ExGIvrO4!xHoskx9~S^mb-Y@)jupU*vrO1O_Jtl zx=qu{r)oY=nW~F>0*Xt+4&2_9p0E%8X2-yJuHc4=E?C!=ZfU#ZX8*{Pyt2y5vb@yT zumB%udy+-_Pr*jfvr9gBzx1H??G# z5NCpoPl&12C>x0Qh^~nVuO-m=zw%~z+{&lr5*8Qjb5*F%=d63*KF7o|L=nv0_|naX z-k!!g!e~9q5@ctB5^!vuF&g1tyxKXWG_P5^J$?Mt!!INf21?}75n&<0L4jcF;n6*l zD+Wfl?z{MgM8_wkq=JfdN>T!tGr~iH{Jq_uINI4eIlDZuy{;-S8O)fe9_Ph4FYe?d z>*g$OW-8#SJf#v;JIf*pMCY&(C7l)MghTHJhbgF^*%vyp9d!sg&knInZA2U zmn~g6xVOeGifG$-`uqEMc!G_epvd^N+@dm&5tI}{6@0Lx5E&U26Q7)s13s5j1`6B- zxmoEciLmJKAU{tRM{9GF8&~vo)aCZDk7w$2J=I1}Pc_2S3G!Ccd-VNF$Jiyc?)$}p z5*W6rW9$tBkBHnELz6qky2p1e!;QzV^rm_v2aRf8uD!xOe(t2~=fBOnnMF#={D~)6 zMEd!I5E=@0B$CoHbMgy|OF))VRb7k1;6Tj}s^8*4@>r6enGzop5fbR<2xrez?fSof-#ctqvmhF3WS52+iNgHIs%_=4RkXpsz-%RwRGQL*u0 zlLTZ7C7_ZGid&!#0MP}D3InbKt%%*g+SCj95J&)mgM$LVTJ@o|iT+t7S&?lVbc-V` z$f9&uSfHP8Kxj;A5t=f&#KgTrO!oLm&2w7kPOB*%mfX$DPWNsGd|0MyU}}+um1p-p zxlk>?T0mooTzYZ4whIaEn!VnG&3AUILlR%CFwn0); zQ^58S*fffbj*18i1t9&ws@TiZ!^0iyMY^~=ed7H1k&~l?-Glr0tnQlMF*Uhmd=rTA zt=pz%ccG0ur^io0FFn1y0XaZR#Q!k?)&0NaZwBz7`~wQ6KM8c|k7xgUW_>9MttS7= z@=g7BSbsRA0{$*PXr?Y~{~-S*U_Wa7h3a1dqHY{2DuSxqZ}J~d1yro}<(E*PlfN?H z52tZBjFPglii(Qzx+no$5Ly2vhJI+~Pu}z+@b&jVFBVHhqoPbj0m(X^{{=w5?BY6) z&?TyFKn{dPMfn>e>yUo=@Z`Vac#uLRsxBPWd7)oaOF;q} z0@%K}&|lzLNAcUm9~fHi1~5G|M5+DxNB#Q2F)*lg#XlhV4HEQ5@gFnv1JHGYtpkCG zQB(qh6cW%=z`GLE8hG>PuKi$ub?>D<^lMSZd{gk}X1<^K&2b=Gt=|p3f^xXxkL`X} z@fV1`wFV7ks2jhdQT^>LI0>!*pZcK#e+}!01|fF9gMZb@zjQ}xe*m2C2vpbQ`yoUd zB>xs5sDmK5D=Gfo?4Oulr|8#~!(zU5;~N<23uI~Fh`{6k4)_N-5rpcWvIE%*LIXYa zR{}NvlT)s{JH!oSVCs`Ug82q$y}9r0La*N%`A61+;9$@{TZ-DfpHxso+i$)`bqA_o zzIEY`Xg~|!EeBvwn?qv12S_yde9B)4ussI-6E%Nsnc7<=Nc(R~n)TU;O6XtQ|ND6e z4&Vkf0M3D!0N!IEx1&yIzr&(-_gnAQUw+;4x3lY1gI1K+V*&;Ty8G8p{CsV_eE{Se z@$13uCyGGBsBdKdb*n#KQCa_B*KbY+HU94j#0=GPfSI4MK-^P<9gu&yO>nO==69d} zm!JFL#&vZnN&wamfFLwj?7t4=_XhvH4*UY~58YS(jtB>)0BAV<;`aZ)rvMJnLF%&L z-?7vGGRXg1X#STw`*-tyGw?S9e>3nm1AjB{Hv@k&@ZV+N-&lPAcNPEtXzj#z`A?Mn z_ZH#nXjE0f>wf^~zlR4x0s;BIgXce>is_mfTpPUeZS`0wLd-cdv)?Z0kqyM z(5;9@fiKQeK`1MO%^B#csno3qszBdU1>azRUe^WOsR-VIXQ&VSQT_-Cy8he#(;qK> zKVH8{2?ewOWspj$>Tf940sVG{disy@?QU=y1Mndgj#K*qVf+~&)ZO1YLcK)Y8TsxR z-)^RE-eED|E2`gN{88U;$KVD9st)KGp!+vFE_N(yMO z4@BLXT5lP;{7s;@KeYtDAqy^nhpDV^Ps3m8x2?ML!P;Av2U=TLvUrC3xEbvN8N~owyKnjP@zXkZS| zEhXTh5Uf9X6_s>Iz%AeS1@tQ`124oVKyLskKXCCYMgJO@Z~Knx`aowPvXzk3kAr;Y z4-oj{(YMpoy;EgiNGcp?xBXWj{{3^Hd8!eBFF@{3Rq}IBf8-hB5_?<;xC|8})qmEv zN&kJ#zkGsfEC>V;$Ze@geq-iGDAdQl-~Qcvz|g?G!P#Fn{y#WL)rh6;cmF}Y4bwlU z`gZ@%sQ(9g|Aj|>W@Y{8SC9R6->)wIeeRzy@c#gZkr9h{Ud)?gLnR8^g|l(8ZBMnc z?V4<3=T6?aCi`UDp18Bk+1WNHyWZz#yz4itFZa5xTUPe}S4^WOngZoPKzgm5HVTy? ztVdu|Zu^H{S>~W_PEveCraI-R-8pH^R(HvqEt~#~#QP`%tN5!WU2b>Mnkzt>Qct(z z(5>BJjQ<;Sh96sJKfmhq;v)7gIV7nLwb?mJINtis&?TpU6<*NJ$nD~`tOC}%?g15IBAd5e{1w&;`g#FeMeP_qlG}_D>NkaW$M&pDpqZ;oVhM49XEWwWKL9UDN#p!SoDhaGi8$8U~=ozQNGD zX1}zwe}5U>&8K1(S!140TL<%F&V0(wdYgM+#C!D`gl9l587$3Gwbg|>GkVd)wwZIN zWL*jDl!dng78f#Oj#km;odMI&w<1Z#re-V*e0^2KdNakAj1bM8Oh~)|iUBxSiZ05N z@H_=V8(ONE<(Fbw*I8y^--dbKX{|6tg}q>%ijTzJW=*{5Or|(mi+LlSzKo(PUi8NL{RsB78Pv~7w%}8 zBQiBmVY+Mich5Jn5<^nSGW1BhJbTam>q&dV+u|jB_yU?8(`NeIf@1uM6rsc=sJB&S zj9k-6dPT#(PdSCF(vO83W4IfG!M(Q)%ucXmtm38qMXF9GUtqO9rE}@eb1XMZtune? zD&+f7$7x=r5?g%rR$%&aCM&F$Eoir;G1cCD(8^2<@s>~BC3BLq6+$U_jv|KYsjxVZK1I@4LxT&(w!^^g zygBZgS}8e*)vw>@oL zMW|2^$cH5{jOU!Sc}D5APY)I-v77jOwi6>W|OJFtl?%z>cl>XI|6>b*JYGSt)p z+1@hY6ky`kojKPRmK19&opCzoCknacd5Osk3l5`uq+6QOt+pBPr6g+ik7_g$#ViTs zKb9Mw#H-7CddPe6i07^nNQFXNthkNUg;}}9CG5U0mE?*rOp!mm6&1OQB=4k>z+Nu- zp^hmy_9_NJ^P)HqG$n!srp}fF?2uY&W|dYkok~4+<1gE75vR$kReC{JR>v&Q5~t&k zdnG06V^7+mvVMCV+&Zv1CLBX59oH}lYOQs!qoYsto=~Ulma6S9eoE5&tQkfWv=%qN zezO(#D*e+CX4vsu;xsKZ5t-6M9-~tuoMF^l;KobG_;*Zdf@I2YLw;@JiG}^dhWUrR zqi2ZtTC|m92&teS{+Ll~s`1nEbkxmwDUK$DMxn4GE7sfK&{x-&`XGZItU};1_Whl^ zW#L#7@g&>KHbc`&hA#{aZ@t(RfPC{YTsb!0Q$;Mpur;&lpMK^OBFTdVGKGEHEun{& z5s^T(IT#?1ijzi{FDHem$Ozr`w!a``Gr;!cxZcwDg*72DPk|hsTEsnA2Hf1WLNOg* zqrX*Aoi_(y>v}M8QR|rC*2J>NlJt&hpx@`pPlsrfJ#632`#6uQ!ByMFgiSm6@V<1F zKf)`;dph9YHQO@Zrn?NXUbAMsp3%^oNh)CgJwU?05O>jiRn~*ELd|tK55lY$F1xY= z70S@5ju@0s%4)4t6pLJ$HX2M<4od`=)+xit1$fnHb$0iNFAMl-MoNNgsKkx>iQ}xs zeL7uq65tsJpkC6G30)(Up%;-Y1movbsOzyH+j;q_UQI#AG6CV?8lES*LT9@kd_M0B zLg^u&SRS*Duqv7N_CfBkE*mS7(84+I#QroX)uzbPuoLkt1*)5x=rH@H>>5T{_tXVQ zhS0&hh35@##O~s-oE;n}*rOTi&yIe60S-A^XXX4VHtSHPFxK2D!O}uX)xQFzLN1BR z2(9B?cF{H%v$4-(76tv#4dm+NR90*!ftM^h*E@x3NXQbkF~gCIR`G|jxi+{xk{6-Z zZ0_r_p}^PJ>r{Bapcq?`vW*qcb8c z^Cul?0Xg>k1w&Q1rB_LFQrv<&{WPakzZ7Qg&C{V43X!(jx)4h68`$&h#9yP$@lGYg z=)!w;9AlY%pp8e15=Hq$eBC!q55xX)?Kl7nJ!%wd2D3 z>m?wO11NiP^t#6=ddZAO%z8?Z$2GHWQ~0Ra!KgD?&>?GC6sLNk(8TvD5r2`oO*X zJT-eb26icGd7Zd{x6Z;TMm5R-x4!I@&Y>&}hxiFSgz%n|o(k+GqqbdOM~J9XpzWhE zP8&risSXCSW1)PS|5Eoc?&fiY2`h!RYOg^?GQgm={q(mgp)BWhOr%`3L6JhzFBoo_ z2cX&nUG7fXkFo-A%=12+J848xqIYRsC;e(e{(2Hw34GS}Qx0a~m&}ofCEy~4;bNg3Wn~%Z)|Fxhav)kV9xUmd z^n{q5qnvF9U~@g7eF&yxDXjUOBY?HGN)(IEE`I5 z@os*qW|U!G+13NVv53MS74ha=Ecu|2_dSWu$c}{s?}w-KHM4TFfAtd_1PR=WgZi(U z5m0Aki9Rh&<-VEZ+|`cLRGB-;AJ~GPf~MF?E}~kWvCjg6RxMR23szIL>{%|9xkVfm zZUu>7W2JnB#ah}}B;Mfmv`#i~EIH$Dmzo-a$%Tel$xxidmRP1E4u8?)S!+;$KzgYV zdvEJbhl~=p>b=6<#esUz6Pk``f2D%5h00u%aglrBz*|DtnioV~IZo{+g|W-%G{02O zO?mERO;@vS1KjE#(t?0$>uXp0xj#Zp2FDVDPd`~~))F6YAFN~GTn}}H?IPfu^4g)^ zw<}BHSTk0;7$3IRyXrH+QgT*W{njHzrl0*vq!y>8z_z`8I{Ma02|CuU#-ibml0Fji zG%_3)6o&^|Hre!5APcO_&y4kg^aS;Fvcy%z zqh3NBP$B)ze|$<-n2ts$-Y<8IE+P89av5RUenQH+L($tHBTM4S zHy_+lZ(6+0BxutibJ?*Ty@aREC*h&6M0qX~~FEOq=Eqy9L z=Y8v41p7U-j`ojIArrzq&{iu>So>oRi5Gzpvushs&_SBjfCX8#mi+7#W0Fquz;;g` z-~3Q2ARt|^IyFgH2`VAHrw?3TH z%_AR2E94j3nOe7URlb@-1M2qj8+N4v^_$YFos!SSIH3R|s<-nj__>YgXkQW(mrpVr zX~B2aXq(x-lG!rQZ$vMBp&9fbq^Q82{|&4D>UE?s-MH`~QBsbPoNZ)95#4Jf)F{99zZF<^yTn$&bf@>(+iP1J(QUrpF z{u~R(c!N|gIqHaZ?mu5)35o4e2kv!K(MdAPCq!jQWNtWxFF?>hr4{D%lC-nib5fKr zmjs06=dr$idsMhxp2Y=T&(yC@K+JcCWDS|)xK*};@lQH42OGA%YM=-d><5@TSo(P7 zBZ_|9^9k2-*RX9q1H|=!DPn1Y>8Z(RQkbGp{ zo}`H$6jdC;I46)5HD?c3qn9c^1z3)yB#wAwq4v8*QzYazew88NyiWW0e04}SIz%H$ zek94gn0CB+d#}Ijby9ntkLRPBkPC5JNuYHT#?WssYH9NWxUQAPPWcb3K8PhDEID7^Hs_hW4TIt3ULf)aqx#nn@;Lr}p zJ?uAZMK&#MuJ)dlv(e<_0cr85hG z)G)T9N|Qh}T7rY`Z&?3X$)2Mv?}d~^MAnKt+3`A?Fx*GD;H`E?t5D-_&x6P0g@hp2 zrk%-tA2ZlCSV?u|CkNFhjOfMM<~z)@M(MCuo+FD3bwsbC5dSH3BUd}dKA3G&wW5<> z?0K)6ZO|Od5l3a)vK!L5X%Uz7hm!b}qmB5LyDhbg6f7FDmRMd|@UxC5HJNz%OXuP2 zw&I@skI{D)=r&L6Xu;|%OHpzsKpI(0jv#u1NySYesKnw3MY9o6Ve|lL^j(bnofH(M zlT4>b2r2W-P-&M(7UiM>)mMs7wZ3GGv0an2zPYg@i90Ha+@(4RD#ApQ`Tnv$3U4B~ zd_xQ&gCxJ*Yh~27vV?(t=P?c+iR`kj%;oB1%JqVojzp^wA81O1ag(seXFyC(+F_-F zIR6m{_aep@Izx1)(6FVG0z^S$bdt9|MT-X+`ava0iJp&aQHSD9DVhj47a$6omCdnI|651?J zcTacjN*JE6o9OH^JVJyoySbrQbBM{z)?v3vNT)RAF@be(`Sy|fFo7mMnDK6`|m zzz)M|CExIC9QFY^U2(m_E8Gscs9o-Ws6ih5fqtTKDxYTpsW?ig_R;kDmvcg?oo65L zz}dKg`**U-E?rMVeg00Y-ednLRxCG$PYh+cy#5Zee4J>Cdj90IC8rPu=Y2lSHZFc& z$C3dR>NhGuyrI0TZuNW22_hpg;pE&bFQd69yl8N)3ah;Rejneu=f(U0E41ws*lu#e zVT)`x%5;9b3)VCQ@$Q~BHYJ!KZ*Fs)Dzd)uS<2BvbDXbz3RnO6OE$ETaUT8XCc+`k zSh5>`lZ}sjx{EXA_10nW3!4dmXa0f3nDBB^P|T_uNUTnlva9CAVh9M86S1 zLFd7d9Bo(fieFjabdSq8-UFed*2r;uT~IF+TWek-Ix`- zMpA5ixrHfGi}Pz>Y6^iCl&8;RFRUP7wlXc^@@lXoWFx2TQY66#hv@8lOtp?XT$_2? zZ7FZK$k~7Cdb0jLx5$k;PheysL_f0Z5bt3C(@_JbmYrHP6QM34w6sdExCf?mgKiKtn@PHPozC5Ge5(6AL79Z9o9bV$|=}2^oY|B5N zB>q?%(;7QIcyBn9;;&gqc@RolbUpvY4W>Vk)vS9YzMLVRdmfmE6H6+`pB+77ca1)E zpKSQnR0QSDY{gqdaKsp~rmi7s38FBmbyBPc_L^wYtrVxP2TKQ7ac%X2MUG%^JxWPe%j2AnI?ty^Yr zZw+WRz`DxF7X{XhFdka#xD0@$*;^N#U`An;CJP^|J2z5WP96&LpRG1>Km z!a&Gifqx61d7^Fk9D+FMne?FalyUh<|Lf=+Q&{+em+s}h`(=qh;}v$^KjpxOd=dQ_ z1xv_TSlkVYViy0S(731atPX`3< zl@*D8{aVgzO}4=+aVuhwR3DceHJ*qWF*L)n25s0hKcc*>03OklCt`T zVOEWhKVc-ycQPxS+WY|Gii6-5Oqk1fX3Lp~thbaUIJ zTdW#<2EJC$fmYgY7L}7#N?r|0(#7Wnwir?@soR;=E3bMxuK++eBS#U(IPm0>!DSu- zM9ZTAUe)fp#%l5 zyyltvwA`Ig&{25s_#|O4%Pk@x`)mCCoJkf~wThchkn6>S6*+Khx1Xp^sL)OxX)@OT z#6n3>s=KO9G6|AXHdnN&!?@Qb&Ddr}#G5eb@lCuDX>h@u7lkmCCo+;5Oxsc0=NgYT z$Yc#81r}?4(1mk|o)qHFM|jbCPjGPD{_m+oxrU9-j66%O#X(J2a^PTwB``rO+=}g zCVwAt8z1&G3k9y}6;bTWN~`@U_Bt=bS)MEWw{;+vI%y#{*@63wd4Q2x-+;K;Jqd%N zW-`S+Rbfa&l`Bq8DW2;a2ES?$K|_AQ=-Aq(BLs4g32^6bFKIv?jG@;U5=CKIIEJlg ze`gyMa4kQNM491cqAXg(PsjRbkoAIhODs1_6pETBQXdH#VTHm>M6%muU#O>vYorCAtfRs4no2UaEM6{yFh1Qx zS&@B%>fcBvaljeaD6E;qK!oydBh#$`?+a@GpkQPL-vG?7Y$xj>dsGu96oLadUMd0M z`QjHb!_G2hibW_Rq@Yul|ahU0}63z&IA^;|Y+ex}-~ zukpeWjm(+s&Ald`HreKMzT-)LIL>z)#7S0K9v%4GtCK^$W=$7tM@2SR#&ZM23EHIq z0iHq~`wrX&3^W?^_WNxiUSkY;61bEV7UPPXU&$sT$=AhxtpzbqbWXeciuczlRh+OF z(}U@VpQ$T(s40eZmX!>4p!5Obo7l{PK3@gH+-0)>Vj>r|INlP^K})M-?3*=2CAalU z)^PX-!^I5>-P3l5J&_}ARp0T;U$U|flT`k7H#>gGF$8MGw6| zC?HjbMhPz`x%QOV7<_RMeRlzjKlB+(r`-(B2Qm9ugog~$o+84tSYzgFvpkMn&Z|2~ z7?vyg2E5`9!>q#&ueE2X4t{;H`~xQXJtH9zM+-^vlj{1C{o;zVA{k-)Qcri(9EHAl<)ia&*)LV0BmDx8oXnHf#zAtnE|_LqXw@th3mOq`D>3m@ITnJRu}D$g{XGLFIIw!;FTo_xdqKPl?x_-rM2c&G41X52>hZDrw7ne$qg~3#OrE7hD7IFh>3Cnj*+aXuBe#3IwwJ_h5P-%hpuG$# zd~R+PtMo&MFPlzyeLjG>T8GGTrBjl|`=-G=@%-{vI&e+#?J8j8+4lE8>X z?e?%C;H>U~)3R<9p7k`%P<-DJ#@<;t>%jKQCs zm!Xt_5%Y>NC&T&k+Ryg0zKjES#sLGMbO2arVjqjF4bbS2A|Xz$=G*Tg58L#hzm)^X^CN(s$; zJDV{PRavB3RW?v0qo2l#+d*Ka_g0&9gB|o9Xh+;C5GfLTVQ>QW#;DWs^V)|HaF9u>>urA- zEomLd>qf@h^eE_1=qWg~{~FqJg5Mi&N?=sF=9!*mOq5aREz|lW#@}#s#E&Ut9ol+d zo$M}d7c0ipHc$kt^9I9V0O6Sb9;Mv zHz4oEF4M=O?l}|@DNhJKIKw6JdcbKI6v2i)O-N`RE~>N-21VOx>h@b#Gm?#lpX@TE z7n0RzADE}C22F-t5cL-J1yYm!^4g`XR5jd%)hj$!u$tFO@8M~m1Q)(a0lUW_^OnvLg4 zYZD5?=`e0Dw(nIiE}$$FP{QHq0*T4JqRW=6oRadJof=|pLueC`syV8zS%iS4RSK6= zNJR=5m3$^w!CG=-f+z(J@y2Ax5gcoNCd$|=sjKLjyu1TXEwe*D0u}Ex0RUlTXhq(e z3pl*0syL<7eE%0FF3mP6bWq{mlFFUw*3EVUpgfYetFzT!{Y`Ho@@XE0hE>%mwWloX z5r%!Mu(Y0dzKM3cv}t5G?#4KT&9K~Ra7Fwg`MOaLI6ZwErACC{w6*Gqp|gz2MWj|_>=of#V>H2OrY+21#dK~CtZAd_^~OxY zkU%M9$){jI@qPOS+JzWhjO{?iv$An#`&Cs0hj(Xbde>`QZHM$_g!r_1q!J}8($CfO z+_U`MBjZWWl+U^msfWnsXKmEl2d2p?F%NC)Xh323AbbOkdkq5yD#1v)x5e?8B59}^ zJ2xg&O*|5JnAYWF><%p{qrU!uypNzO<){+Gr(&vbMj>1sn5ztbnbzfCO^*L($^3to zcdoD%!@W=mJZJ<8)3isMZL9YTa_32UPY8|s0GeLb7J)`|-vf5YT4Dyxb@teDO#wH~7>D}L0o#n~ULK}cCSUa;YU5(Z zwP!u_K}d;pHB*;gGKK7oI$4_4xJja)eM;|C_8?nHKb00*a;mfAhMkF~0Tk?dzes`- zlouz4K0kV;bC{GKQra+{WBE5B&WW~}DY*YtnM|_p?+cdp;x9#(DZDqqJ|97nwW6Ps zKPQ)#`;(Q9ZF-;I`*kPa@!{v9#CJgGWqcDqPeK1Q8WEjMcXkg9G$%-p<8YE}MAA&9 z#Z4M16#O(Aa*(EeD@DQ`zJqAwPU01(!XcIqNPjiZQ&=qlkrrPwZiO0x7uzMBIP8#b zzp3~bZ@udN!{xdVz{Hl`AeiCi1Qi@I^T^MmYK!}Q?8}Gb*SC4<6!~4gj@e=K$2ltE z{YEA_4>{s-DI9xYw5oWwIk3I%t*o!cXwlM?+quNluyEK8?rV!M`pbibZB+LrO&J{H z2#(CwWyY?M^+?NRYwig!*{cCAp~weC`!0j9sa?RhbbeW1hk~;P@j?OSM4L_FY+;tm zPygt^aLkS@p3Ik-T+S7lVX8cO!n_DSdKnm>cPL@DOAB2nwH7T4SXw{O z;f1NlT(rw*Y(Cv9(phw2J6np^ml`yarKZ0Q{mLSg#$7E*x*NVDm4|6WRsT>6khPME z3T9C#r;p>e6L+x!p-vH&kxwh1|BBqrvfpInHcpD<$Ge&$|GE9%-H7yn5x!eU1ys^b z6qVNG>X_o&)0;AA9=>}WNxm6HzT3l;y1kp{|J9@YovlKC36kI3=bYX67hEJ1m#SaG z=Je0&O9c|S5Prw($Mys7lWkV`EVvdC3%bloIp?%>9NkM8i_O)&9U5uW6Q|wgv%;Ec z7W&Gill;8mySJ+0@z*`xD^;=guMSeeu$4ihc-}wmaiWs zL*3ap|8!c-VlAprP$MtjGe{>++LUl&Ds=O=S=CHVW5p5gQ>=6=uvg16T8-jyGOojh z&U{>aZt;pmz>eTawEpgx>gQ}Qo><-i+8La~$`h8>`P}}uBn*U4P^yiPN-XECb$4jt~ME8GWb2_0BR`0L5 z1H)kHHn-9;g@!v^wDujv0h8ZpyJJp#0`@<*vU%e%E^F)@B~dO97~?`@oPy9oDFq7h zPvSUc_TfYLfuDS=I}_K#swHH<4+#L1zZFGVWqik@RAcoaH()HTrrL zmS$)C*e!)=*-n*WL%BC4|IohM4Re7n;Wyk#Is%$yV|*72CH`I1m$%7c_+7StdQ+hh z01+aO^TNb3uy0)IgIxpi=*oIBC|~~rlSRX{aXMn*KVtAtdRwdo2`R2AoPW0tp^$9G z4?pW3J4&Pm9ey#EpHc^XP1FY-(ZX;a+^^88_G=zQc8%`zsd}o{nS`qp|3Ug}flrvZ#dwQsWwVW}O|%(`^0yiZXl5D3Dn^D@Qai#A10%KyVcl1FLj>w82oHY0)*@D+p62Z6{7aaa zA~>PWJ8*@5Blo+wBwf=+@MGO2-vy@?VIWJ|=7hK!W`Sh=0UgAGKpSAhus~#CFXY;E~I9+kr)=8BU{uQn9*6Sw*st7zkB=WaU z+Vh|sP}=fX{hw}c<@EqS7l7F;#jHLD|EK}opqnI{Ll?R1If41VjCKIY^fSxEY34~v zB4xDV^|_9;abr-vuVM3BE9$^lw?VW&dx(vuvj;tOsJMSEW4)HpAUA_ai*rU@i3C+? zhGZ*NAm`6_TfL318Lq#koYweOu}!kw(pB&Q<8_c_=oZLSI2{QzrWN<6yUR_2LEtd= zDNa3=zANnoFLkclMIZJexv_jDjl(A`8eO)a=_ zd3U(R%1^(H38ESSiKaBCR3L^g@# z-&czQ4SM|y`g8SzkSAcjGWx|HSza`0Ccro^@{+jgN8cL7Q>;s#yW}kinL3|C=e1_q zgVtkVI%DI%f2_BDc#N4`$2JCdcMBl=1#Bp){a2h0pAMwL4#mb3S!>_8LooxWJ-I3+ zhR{RX&R2?Tr@TluT=D2ft~&RWyjeK@{j~NS`R`Y5>OTYV)=l>3mXWK#Jto3|*`Exa z9yvEdtl(e!j^!O!>l$pUcM|nx{G*_9k7`4Ixtv1>wh)4qcXxe~Oc~;GQ{|A&+Cr-N zu2Dox5%l$iA){!<3al@dybp!rk6g5W@g{X8A6&g1?Ma4unzf|V{)*pJ5>#69Gbf`>3L*nk;*=rwDw__jT!g=EJqMiU zI_ub4JZ8rxA5=yr$tU9Tfwy`E+s^`Mgcp1Nv4V~~$f4$aF_$=ydmew&&_Y!QiP#hp zZZ2JdI;*K0UZu6Rmcy3IFxk6r z8QwDHTty#`iEzJ1U(t4Qs@H$-^4q2Hui1uj_@%S;Lku~mkyEdL!|}!GimM!E%?9K9 z*zwOI9T6nt=Q(_RIvRt4aXPeLPKNWreB$RPMtL0X$$?@jo*_|tz=kG^+^WP80c(}P z65J8r<1VyrCX?WN)48fa!t%(S6B3mdB<~1>;YFL7=lsYnQzCT~*lv2{qL=OtM*wyM zmIe}RPz=0?)L4Ntq;_Di@U8(0e-_4-Z1APp5vfyXz{CVA?TWsPi=GQfUlZkT(SSLR5L$GI^O>~NSQ{C?kO5ny$Am3ovz%k zA{5y3;akgSL=iN>mS>*LEJasYnJwuLc}d^#E~51J#1!FCjr+}$)!w3=l+AI~-CKiY z33k5`J$o^HmM7(`G?|;g!g|b+>9Vkx-QuYHAG@Vk@Mf%aE@aj-t_MGQeksc>ry=%! zdd{9FWkL31yGOBc32<55{4%og1>(MZ_Eo^O-C>Lq&}py`x7 z(&ngGXAIM4@?I2yMADZC!#LWV$pweU4t)ly<-RQRd>DC%nP-s=P4aI9Clq)uy3HXs zWVm`o&pS7a(5N#-S8bY&ra*=M@E<|fAh;e9T%|+k^C8X0?tV(rfhe^f@$4ut zysQD@%LAgpK?1fp+A8zVxB;OLPc0&9ZJYV;*|sYbh=g_RU?qL9+)O+sdzQ)|qoS>8 zZ+Bn2wb3Zfp(YL>s9*>h^4|Y*vZ^{rx1}9{2jG* zW_KxbOS|Nse%Pr7J&Rz|oREE_w&TdtZ2KLLsAFf-$M;jxDDM7L4=I!ss;zE)OYz&4 z!|AVa?dM*A-tvO9-UNp?C@d14VlTnzC}0{_&jh!7z8cTGA(`ud$hk`v1kQkt6CF0A zEG$qT2&;3g!}b!`SSK4W&jj1QlMvr?D1Ivc&`uLvJaT5I1jGM#9+7#_0HnLVf zl;VO!b4iGK8wNx7H^>h!6Y1)N{RKcR*8Q2tVeC}|=>5BOE=D9>sejY!H`gGh2^qMW za6UmT&;j`i*6R)I(|k0evl{86$usI&aDCXol3Nx?>QdLA#>X|mY@a&3VbolF{0^eX z$RZ+qSu;N90*K{nEL$}_{Lew13M#z@J_|B*p^GRAaiprC*Q zy`#{zd-sfSwS^zQCHEAG)WpPzz#sUW*iH7O2dEbIcu|@#G|*IT*iGr_wEDC!3X%k8;qPoDa^Ie0cct5x&? zWB?T6RXu|;SbX@6BvmRM-*>C`dy#f8i!{DIZwGt)NIm{i>8;lLl3(Y{zi}q)U}H&W z8VUg?LSVB#ZM9YO!UA=aTf(N==gz?ExM6=+0r$CosRhO zRU-aqwLNj>ARUzIr06Idg$zD{xwAcabYqQ-7E}zWgyYO=6p>mxd5HlImaP|86JByZ z%2$tWzO`6HJom@$`2OEVG~dqp3sfkJCB`5l#a@Uj~*JE#%WM z!_$V!P<8C|e18NaFFjH2>zk$-*iG9h_R!nm3dAa>pYu_v>L#p!TfX)620zAzBj`tKZ{iiV|9z>nTeB-d@lcU6Dyxm`a1KwmrH2VPA=d-|GXnW?r&W{dR!(9OOHRG|67-pn&Qw?|DePeqRkm5 zq-H=cu6P8>xzkx?=_4w!38dE*;*5tu(0*H#E(MqWQrf}_)KY6swczD zlr&}QMaS#9Q2G&-ia%U-re=e<2C7@xatAH(u$=wDX(ho3z~A>=JuBP*ao%LH*k)23b|-|w7}-|I@;;vYb_MeYCXKB^B@ z=+ssj>?pcXcjUBV9XhpZ>#9g7OJlze7yq?Y`qe<&H5t{oWqX%7vP9}egc^2iAU@%k zoyboUn+$5JLdT$KhAZ4*-1_AEA}z;tWbo5d6p+7@%{I@3V^YyJlA46DB5&Ee{ftByFd5|E6*LQ_QTiY5RR)z=fhTj8L4d zhOF;7HE>A0PPh`i;TNAYQF*1ry!2|8@^K>yl4E^AC_%(DAVr=fNz;XYdtclsp$tyD zHpJ*TipAS+3=B3ApJ5*5Oy=yuP>HuV8l(tDST2Zz=VG^WV?U@Z3XU-1x1=W(`Wbeu zHk%9*Om53P{ja{o!*N-Lw>yIF;E?M`$7z@U%JW#NUXNk2)L5X9~n2G{3J$frqzO*cRLk{x(;T-{rIwi$Y>n zmop}joMCFz_vBEw5c`pMKVJlrtKKl=?%6iG&%A%DbRjNYk6r7m6%7`4b`K-6EV{U( zj5asPk0`zI1jd`|9|-~HG2QCQH1BAE?@B@*(UpkZKPJZj7q;0$3!s)oS>m*$ja;s5 z3zUbd5T+Q{{$BFsB5F?f@|kT?bR;-*54Sv`N!dlYJw#fF1*I%Ac{>+nq%zW(L*_Fo^f2);qwy<pK`P$3>RQoqX>heKfT;#V%o{8xi#qZaZr{MfObPx=$lLv>VmUSb)3jC1 z(^UljCubxa?S zO!yC{0t9{&LN0OyK{cUkp+BIGi~Ef!;``6?K_CpCBC!?o>I)ZczPE}KhFyXAe1_s2 zuV6~XZ2mu{j7Y|tdceP0dy4CDkZhC4@|{{iTFtyv@$&Fv19S8Nk=eD4%^d**lfo0* z0G{DQY;VlZ%^xe+Fr;^5Wi~5Yf5&0HxD7pUUby}0y8jy+LWPqwyd{bmjJuUO^N=X} zNDoqiP5_<2w_Z~_D2_YfW5D2|j zD~c$Bq9BUCxq{p6-s;)so^#&4_j_*-K9ZHSX8FfI#vHQ@0==x^`$NwN0381;zN?#p-v{~LY^!oIep6Q7<9Y}(I} z^!gM%<;qCWi1_29-mjQ=JCo%v?JLAzdHq@7Fc5xd#`XL%YG z)tm1JJ>uFG?9mh+wa@vnUonZ9Y2ZrZbumST2fLbYIEF7Dm!jUsuvO;PV@m1f(KIY> zXOkk~uKoMAK@qzmLY+?47|qMBfW7WrA(qUFcZ8!fQaUJMy9F@W7SF14G<7?+rl(vo z)j#K$NxL22cC?qpU{~)x&*&<-unVsY;-tCgr80f;&w4O5VMx+?1v^ePWV~FwbB?R{ zZBR$9e6W$Iq`R4K1{?s2Nv#Ldoyj{fk&bx>q&H4)!y+(917d+ z%iVbpe9;5OYyQU5^MT{xirGO5^D#E?Rm;nz2S3ZkmcL9hDm@wcgmKj=ZBVf#WPc1V zCyTSEPOWbjzal(H9HlS;I~7_-iBHJ570Mb)n}vkvU+its5au~sw1 zf0FSa5sZWz>nattvD+<;c(d*dx|tI)gw~MWQ=H!2AmVLzROm|T$PO))<5PE+9sM47 zjo0#rIL8THo(^?Ga|PQ!!u0ZUu$QTJ-ZfOP*b^r8Iih!NQL>Logp>G`BBnAfx347- zmD(Or$WG)lP+oZ=Omz^;_eIlfTI95RTYgD>lF&tZQ5*e51&$_||NNJC`|Qgmj0-Hb zts{&IyjGN_f@}!BC%lt#CMY#yk+?DlN@!-+w$O=G836wXG7N!%Lcp zC56;eN2p$e9cxP0RHUj-DqJ^_rH4#*wzZc}NATtm@q=e=0t^V@y@e!-1gS3wj^Uo>cf3Bn*LRsO*;30@)adAlOTa!0ofc>H z%Q@HeI&FN9%1P2kbiDptv$U#|OdLOL!KXP>@kIxhoh@0*BZP)qYXu$;W?wD1c1luk zPpqA(sa5pH=_}r|PozhyiybKweUy0oW4^DP_Wnxai#JokLptKzq``p zr8~Fs+${6$eQatPx1Y2oZ$x3@`DgbIUE;)q2bx7DdpmnC%!Km`6}Q%(mN`5>wh2*i zb;qUqBL``F{TiZmGgUNWh90RUzLC~GeolY6mUa&uDPLlq)5w?j`QBZp(btlpCfq%r zo=?DT!Jf4yiYMISE#=&!C5xuP`T3j;KOB-a zF!kuTVJhjZ33ngoq%%oA^SnFk>1y4vhjm3A%x_nDYp(kxzgH#dE(Uz0b=|^wt6QP) zz!;_PpfqkFj;*kEbG&7;=54tWS7llDuk;yT* zd-JK{Em+ctB3)J!8LS*#ovFiJSQ$PlAw$IldAD}k$0->6t?`zqU7mQl0d?%*M!)LU zt1E#QTK76G3)PIY=%-#hN_UlD+-X`XD;bbmenWPoyfxK?A_1nE)P6F-rCWrFsPu6E zkY^j6P$*h@7 zW2Ad5vyCptR+3|_P@5&~;;P`mu9El1Pj5{+@3SZ7VNUf`kvy}$jFk%(3sn2q>?)kC zO4VpX?P*Hn#iCg6HNHN336uJY?$k%wEcKJ!Bzz#MBIdyW%(A@>rhfo`$yMS-9+Q}m zviU0QQkiJNte^>}9Ggn{wkS2LwJp8NS||LD(QR#C)7-XyXYthHV~>2_0jn9?o05;- zuOAB)HyAIGBBGXPqH3GdZk~Q1=emPCkYUl zqTcERR!gzy6@;fhFE+}!OQFu|+nqQlRM#${zJjmBr8JK-Mav8AKK@S5%oi19xSw%L zp=`q177IO9)$AN^h5Dz8tc>u8lW$Zc44-=M6AzT0&~DzAqY`5svGzVBGG)9iro~_mM2?j1n8aK`Zzs;Ef$_ZmVyZ z?V7*n`)>P;V$;biWoq5Gbe6OW-~CqM!6#QgRfUE7ad8@jpNq1Lbx&uNa>?3NA4`{b z9b4Fe7s6cbaSa@FO&QV(HoS5;(@*MQf`#2_Z>C2F`7=)hDeRDZbC6K>08T52*ZoZC zlHEe}!FWu@ubkxLa(2Le^vG;1OhM;&4-*hhqDykZtJK8tk;;0%hZTde19S=~?P zagiv>S#eslJNu$%Rs!?-X2sDXcWR!kx9@i>dXv?vQk~ngi{Yb3;#vB-8s>YE_i`=s z+aEa`izm$u%<){zJ-jD2dZ%B1*d(p=D zTn`hX+`n0u<0NM8ATl`Z2yFuTTGummBU1i^u|@;w4KBFIK;`2u*QW zVXxPe+=rPic4X2Bnr4hVrQ-bfE`N*&FPHEZ)kaZ?nZyQ8Xq`8|vSv(p+j`(>FLU-* zSSzzuh)WGDZ$IgV<_Wk#+^lpR@=2$%V1ZO`-2Ku_y9UJ@4oNR}#h;sMdhpPvzx7k_ zO7@z2WGbraZli%9P1I5Zb+4|Xg|UUGF|XCry%d;Jc?<1^v@@4$B_=k%Gtn$5bvwFu za|?nkua6SWOnnODwy05@e6+5|@r$>cjB814Q*1tMM9GLpoM_~8r~O;+Rn@%>?+`#Y zE7y!8^_l2e_NV|7}`megU zGZ~n3ci!YXD2@+J-jl=g;zS82p^sXDVmT!$(3BxbMJlzbBFuc**np7temF3(uE^hd z|7F8`LwDCMbgR^2$o9|Hv&DQBbtf9K**@*rb@>YOuKWG%pE!?-#5>2Dqg#T!;DTFHGvit8)gkMH^R4Yo4x8ue|%^u9~IRYU#w7h_ai6 zm_TRy78n)xfxX8>-0q;m_5Bnpl=5o_RlAG~!rIx^4q2(OHaPC8{}_4oR_u)QWk>DS zQU8iVC+f3S2z!o+J}&T#U%^si))6m5+>4j=Vlyt_6KC#NL}@PS20n3i7jK2dZ}mU+ z@R+-|9Fy7SF^NkH{jxh$`B2OYdg|K_R_&7a=ob_qKcTL5$o)ufOKtu-K0C zrthEevlM5H35#7}UKA^in!y?3$mQtcS;iQFz0IklZs$$~aM7JT=K{dHE$7mLPM7zM>tF0%RU+pM2{ zOkB6!(>48N@x6#h93wfv|iN@PUbmiIEYiL$_%YEiDZVH5C;lB?ZOW%G3kV94MNoi$GanB(7Z)c72Rl0(8|y}8x=l1x z6rZ0?kMwnQw6(Ofws(+vhsLHKKYzLOe(eh-H7y;0!^+0a0lEjh0}KGkMhl<`*6(y> zVgyP81p%p)RMa$^=oy(-G{k82-3d{_hQ(rjX6VdvuI+YFfC1swA5ZsrH<2=eoAFw;?edjDn-m|FvrVN?HaMPF?{a;Vr^~{2S(B zXJw@Q@@95ou&;k)X6`NMf)4OP^=bL#)9KN^4s1nwuw8&afo<5-HuK=j3KXt|(D#sn zU-Nnlob=>91vPMCvI{}>paVt#R}6qxGBXewNWQFpSbp_%a-fUQM(FGtnR+t6wE7u1 zALOLKaIBm>n*{+TAi{tiJ}%ZxpI(d+aj04}zH5B`BP}B{BkiY`lihekLEQc0f}^mD zY3Mdg`gPHsTC=WY36F6Yz*p2YAUqT$$g?#RrZ%Z*E4-V9bnUOQwIHY|2E z4$=MK<-2t%sK@2yHA-q~iVyEsKYsf7;UfhtJv}Yu+Iz_7DOTr4TPm~SLjAn%IM`TS zbGYjh7#5wFSyY1~4$aIhf2O8`Je!k8KxEtYZ6f^KoSa}}aP#o-u~SVWQxl8YpRH4^ zj>CQSen5sB_H8AyvMF6pPEkM%tKRbSce|j%xAt^R@Q_DRW$VBs`18b-^-ph}PE5Y| zL__^)X<_*j7y!!@46H1hKD`DJ;>n|_p>{-O=p9QFBV%L3BYL_APg&e__YDk>OU=$N zsYJJQk3V1A!~$X9;ol-5wPS~r#8zGwI!0a*5w^#r(P^0B(WVUNJqzxM0k1u{rw=+^ zRt>AhxNk{kmen+{boIJtXKCvbn_GcEHDw6dzXKy_^|nLu3S8Js>a2%|JuL$Rj4Ne!#%U#MIo*-9I!uDk&F^!goLXK+n#@ z$IHde&La#Vl9mu)XWJ~cg$Ctnl|J|sW9qYT`=<4c3*u96^@3u2Z`H%~>pNKKhni^g z?}rA%d_$58%F9d3k+{}&LPsa5r>Cp60acH0Z*Ri2^-oTYjL%chQZ2ujdp6aHE=%)0 z!1;caYLyhdXP{+UIBA_tL_tSiOY6i9|ET1AWMd<`zH4@!mVuRvhl7QQjfanihhJEb z3j|r}PN&u9$KsODL~$i}>z)qJ%}g#LjQ64{aj`Xr#^098@9S1_@b>WwPtMNGN=eBs ztEs7}Yrxi(7vvR|6z64S?2YNGAkB(@#|dk z`mNVUGBGpKF)*_-)6+39Zle73e!B2*qf=T_ z2G#!6r_a=qh|>?|K5wFW(bryu%GT~q4%@}tA#dg3ADNh%o{<_G5u2W!k(QB>92*lG z73>eYYku6w#wRL0zaS^8xar~Q`h08Lp|wowgD33l#GVtRpGsiUHR~dl7^NBj7=(vwf9TUA3l80nR;Ntd(RZtz6sTC?T|tQ zw*MU?^XGxe!i21FIXq#jVWq%DpMapyu(0T)q{!f~*tqcEkO22P{$bu{G_?+#G`nJc zJE^gsfG93P_RPO~SnVd-ZdN9_bls^V4SYS7U*mv^s-gL%^XArO2X{%x?cK)ln6Cd0 zs<#b=Zt0nP{_@$g*DG)5=jNVFjt+G+U_082oP{vvG)Zh;Wm`{sCSe{?vhs0L5|TsG zoqN^U_8Er_3+kM@c*{31I3g<8%k_Rhptq~5ll28d1y&BV<9n6e5<~3$ijn!r=~pwF-91i>X*%H!-mC@pX6i_VNjh^mn$_UMIXe<)so+iEVB~q1yU; z3B>;X&h{2mX=znuQ9*e{rmx0xhyDm37HzALvVm0w4xY_Cn;z5`xrsXI(j4$FAW;e{ z7~H(?bkjS)_vWQDW;btNF*$8&d3GnAVsM-hr?#)x)u7_Mu*kfU%v}7#=WRh^O>T52 zkzIjLp0CPT-L^3Ih)haM$}7!`j7kXe@bEmw%qY{ghtoDZIU^}5r3zPHi>gcsi;Rm5 z3JeYlbkGs!Sua06NwI7dS%?C>k!;*szOMoq`G~;C~-$THiV< z$|s?G^wfzHhh;hG-y&*QloZwNy)PYyWv7J3WhI6sAv+o(We{%1=pyF(YbdysEZqZ= zN~#ozx+G*52II#`&IqWRQz{Om237T&=T}bp8HKr5xH$;Yo$K!Rd$3SE*^KD5xku zEG@m6?d=@vE~{xj%LbO*1}7xAWDc5KHQnAF7wPSpg~JxRtX<|!^gRhPu6)U~S$x+X zRc&=;O?4TuE$a?lECO8guVNEC`DT?D__;o=bNgA^pofstLuysND|;^cw2$v5Fyhu-|KxqR+{kWEKgwtmnyLy4du6vthzRm8%=r?_N>({= z3kz0CIg3>nEsyv$P;QZwR@PKeR*>4Mq;c5D`0S+%=gllkP8g|8^64HhP?A+Ubo|IJ zE}kj4k{ptrIwM(gY1_iOV@TVKm)kO9OqRLJ!5i^zbTF?HWUBgBKX!g4c+i&}H4F2v zXxTXhq~#PfH8l>NFgSM7V;dbckg?+xH#Hanq9hVbKSx2`fWQKJBy2#lo>ZOEWPDczi|1Y(NV+wGD@Nu z&K2I3k?#_AGjp|tNtw&UnK4z7cwb+?hMA_K$0Bl4vU?Sk^-r8M zxp>jc>YA;C{WZJWE-rUH?t-pv*jk)DeN;nPaxpV8U`*~(-^}0}Zdp|&#Y6Uf;n7iH zfqs5|K3<;g?jCL)-tL}0o^Eb-HjbyoITq=pc1!EndN>#xS~^@;sL5Phh~N&q(%jp} zsMlt-^e(Y14t)8$DnEeZGuPq!vsn9ST5d6EMeXC~&jB2ltZZx@-CUjBJUo4TePRAU z0)j(=f&yUPckHfSJfWv4FDAnG_64tmuFi!Z`itq#>6M5r03>kXQU=2B*e!?M}>!lhlNE%0*MFA3BLGg(I0R#YaonKH;P*_}4SXfj9E}+Yz z($bQmysY%(_~?irU+;T&?%fYb470I~gV$8op%B&Z%F5E>!h(XloUDwj%rr1*r)OrS zrzXcmh2D2?wmhEwrY&K1irOkoM&uZKU4u_VU{1=C-!h zo*v?0Z+%01XK#0B@4(>Tz+itjiP%XZb#-=j0*~?i#>U2$)~1#g2wXi1QB#8^b`yIBhB^tY`1Zl+ zF=A`S@WdeEu0LR}3e()!MkMu;dV4$C+rhe?Kp^&xj&!wm_x22QHua1T4h{E1($mw^ z+e7LmbplvKVi&Ok;A#hk1VjM=mTYbX^*cK{y1;+&Aao9Pp-_!I9q=kNqPD5Cy{!|{ z0hq7}fWtQRbhnX)`*HR4^~j1^d_4l$J~>k5>sMZn##yt^Bq0cC;J z0H9XD4i?)03=(yJ z0jS}j!GS(d2GB?(Y+!+iX#yh-1Kb*gs;foTqR>zr>7H#?&!o7m36dt z3=Q-V`zEGlrpCr50IbpBK>!+HCjoCD0A^a+AkS$6gRHKu7J&rg8H5@TI%_Hsb+y>U zkh(_5n^BEeOlwCszyK%$yb=K}QWxkAaNUlq0a2|kIU+YMcWjUVkaUqC=-u7DfTW&Y zV7q<-x^;krZ6%_J(<1{NO%1r7iN}+}lfY^tz-AC2fEy?ZG1Su9+}H?3BESw3QC$fK zfGR7hDr>5%P|q`$EeiAL1qr(~s60JrG@ zAqhBWA20%tZV~|0J2=?UOa$IL+&wxoF+JXmDle_-o){h*pPU#S8yy)P9vbKeJ_H$! z1cnVcP~sY~^&q;`f#_IWgQ$XLmNIx`bUPN?)!5e7jH}1igKy>&!64~^+>Ss1BY^-o z8yM=SEP)r7mSrcVpofNs2m5=0xqyR00|#`{)6>`AH#kHh0EDB%!^30KGc%(D&E@C; z2+Y{{*yuPIZ$qFS;2J;zJ^`W;6uE&5)z{b7)*%pZ5USyoHN|C-miaB!n3fhC4vnlw z0sm@fg$5a+9SlY22VLLN*+VK%$<58qNKDFV7#iy98yM&zb%DqN90!arfCpF%03y3d z-_Xd^)ab`1SAzC;;dMF408}-C)e)FbyaaqO!WYqO_>E zuq?kcMnUInb-qOaTpA|v;;{cL1;jb26jc%ASx@W%TZm`xz*)G z+sIJjIG`7FDvl|MzU65CkVS(s4FgP+gJ~=fFjqve@Q$5{-p!5f5=q1k{?F2B+nwlCg4YkP1it>Vj?2N4BwDjcMyn75R zA@wb7sIt<6yaFT$`yEXs@dmjM;(*oiw zw5WjG40`V%4L?~}`9c8>GN~!n9(91p6|e~WmmJl=D-^3p5EN*%w1Uc@YGVT$Syu%w z&nwJH&q_>AOH547xq?xyA~c~8h}@)H3^R3u=h7%XcFQ)?aJ0~R} zB_bv+^SS!RhzICvPdJ*5AxD)nKsT2OvP#)dJwvRn^sC9SxT3 zV1lRuYdR|Xl+mDiBu=U8z$xKO2ii(a642^N} zYZ)c9APb91;U&f8#YH6rpcdG46c^>^r6k9LT~tz06}%{`psFOdATK)yY@)Jrv$Jw@ zz$Ji^5Em025gr~Mosd=A)`Bj}$ttYDcTYVXLctMLrNv->0N8^-WM^e&q@^S$CnY5% zCMG1MfQ?x)*p8-wqsUBfE}57R8x|f43yXlI;0axwh?0^V020uVo&v@l*uJHM%}-P$ z*d~TW#3rWX7Ut(>Wuzv=g6^ZEVq#)q!8_PF1_uQM1i*Y@Fu%a?*!Z~EaDQL_@DzAU zdtFIM3D`!ZBtqnYJy~*6Lfl53aL{BZ*tUYLYj{-T#?}?I6&V^5=Imh)D7-H8LVHIyMH-=j#o`2Nn<#2DZCVVBZ=X8~}FWzL3CRFdrZ9`yOttE{?Yy zZ#mp@al7m4dIyNp-GErodm zzBY;ox81!wJ??wD+_1I2 zVt(P$72E6f_V#u*R+ledxpLXU-0afD^XJZ@Ph>a z1$;nf0sj7eK!N-BJzQO!9B$lnxOv^i*7ll>?KNv#TN`_aTTV`nZuf4xxfvS7p}|*i zUEE+WFLzf5+pFdlS1c{9t*%_VddXZ#X|KZWJ<6H~42_QKsVVKKi469y-a8yr7%`s{i0tLA3*m$r-CN({eYdhYUdtMev? zIvSe$l+;!Cs%omLs3<9d+$AFe3lB)+@$zu8F;K04T7CK8(K|X09&S#q%^-6nDlR4_ zCMqf}Aud9`-nLzGyR`I9g}q8@`p1qNp1owGscv+|{OtKl;P~aj`Lm}X5Qp{mYpbiN zt19hLP*B{vXU|?`6=gN8{dzi@hm4dNdCh!n4j(vt#6VwZx3nNPHwVZ8fvhGgl=uTn zsgYswG6$MDTkC32Xn0X60@Kvig2NMspDcruby_If2~wRPgULWn@q(NxkC3>OjGUsX z7T`_y$YD)Y-2-}h`g%IrS{kaV`xJKW*e)R|yqT9zKtK@6-|`D?5tZ034Tx8uCs68N z(wCRtB_ScoPPsBSHrP*WBZ5^*Zy&LZ6cr8*go6WM?oPMtt?fNvzMgknTwPo|{J~~A zFf1{z3f0ik0j8K%XfxH(H!?Ez@WsnlOYc`!DH+)LwrtxWr>H0|yF+sOPUs&k?c6T8 z4e%%|#Lvyf#0av9;7oHJGhl_>k^YTD-L3+4fV1Tzz zP;gLqbf|x@vVx3+u&}r|`)ArMN;-OKJA}9HkXO_)Fw|GqH84D8Xlm;n5g#2M83&?3 zOk8qCW=>gMeLbGoP3oVXfB%J=j+ql=*|@(+!QO$4DX ztFW@MZ)SFW`7;$Y6$J%IHB+pMMj>@0{lGO{9DDg$?G0JecsyD+uQTr9mm_AA&EH^xSp{|uoWBX zZf`_^Rb6&Mu(ua1z|Y&uH#j^j(A(vP{f(RUHulc$Ua+u)%wi<2r3qb{9B8jE!TO;k zNJr$o?Ye^-miUZM`_u&+YbBksF;qZw&$9$r1+%y)=O%WIdoi*8cBc&t%{?O%L!7oQY>iU9I|sIaVg7Prlx~*em-EL{%O$fu<~LddC*^Zbgy(0MRRvWNgz!1aNgz>xiSe%b z%(T8qFB;X}05%NCb_(*ALGjtxMXnvH2Mms=ZWrKYS|;R0+&#L5SN4SUozUER;?Uza zD|28+H~Zn!;?q}j!n;+}RQ7CR?6~-a{!V~}oK7ITp$1-CR}dSUoq311=_wbz-Z29M zeKpnNPT?uZA*M_^J09?E*YPOo87SCA**+x_EM?_ndp)dXa2Q)qG5neO&G^`h#gWp` z;FK&Mrr2?XQ>Mpcsp5><^}Jyhw~pk;r)C816uoK}t0#KtlxhPVKQ|o(758>&mNFU6 zlAU*>lhVs@&AE!Y`Z-v1PGod3Ve;|p;_7@yZhTgGu9rLm$1ZAwt9akAYSH4RC#Kzx z4+NJsR5~73ZTs>jg*$+Dm!i=4$pNJl!W&l6ZEQ^<^Ay~)5B<&sZc@<|$YHyVY_7=& zxgisMK+M|t%uY@Yei0!~c2O&b#SwAH*Fw7IjCMSV2pSdB+Sc-=GFS1o8MUaO zV9C1=`o5+R&im8U<8cxi5~pn3KI)6-RD=2W*$9#Hn&8<$j-dplX_WJPPJN&|JdMJytM_`Lk{m3Hx6^E7qct6c5rR(k z2*^ep)CF-@T}4?{=cw`d3ug`W_Db?G(ag9>xcK>62*+3JJM$-MMg_9#+ZRSfr5cni^D7>?bj!i!n!TgD zj~|qJ@B^uYprAlMZ&y2ubH=C7Uv_YZ1%`%$gLv|ZK1ee7dfjufH9LJ&UsqS}fS$%K zo>v8W38wdBPf2maVe2EV|*zFlUo{<+(MNoDxa*VL?=#dhpg+_!J9 zyo|UYCj-UOnS=!L|4mE)>-(6f$na3G==byWzJKqI^KFOgb~e^lSFcs51RcH*`IOzpdx65ToE!4PE(7FMq3-C5xxqz{j-L@ z>zUl-&&vGb-mf5iR~&+(2@LfWjW+hD7=CPj1IK>|&^HFY!uTBy#LmxY`4JMh^Cx;h zO)}YJlmDv1k0kxpW#ez8e0$e|8v0dRKkeZ6n;SK8!17w!T3X-6DZuu}ihsgGez;K= z8ckoJ=;(aC&?Jxezv%jh$6wWG#D23oXiiHLxA9r)kL`T}^aovlBEP%MH#pjw5Z6ES z_g6Q_kqf+h59d4b!I=Gv7C@&Evm14EAR%9V9qfNm`Nzi_k@S~vfF1q<5NO~Vw`4f~ zE*{XH#&`Drj+~9le+&qs=PRBKG#h}v#ljyMfbRU#l92o0u-`)14`9eQG=Jp>8_u^u z?l&}F0g)#R@^FP5V#D#t;K-H8uRmhlDE>z{-;w?syg$|@H%J!H6BbKm=X*3{i)|PV zq{P9HC5P(9-zfV!=r&sT10-^j*xy6g9~=FSeyHGYER$hqYH55w0Dg*Q0}+IUT)T1O z3a1HO;~-5nHdy=CFcfUQwfYMz{~n%y%h-Qc{+ofn8Td~z@IQTQ@U{P6zx}5a{k@$( zM8jWq{9k?YPXhhnjOO-*n8 z{kq66pZvLZEple=AImQr`*$CZyVcYLf5ZF@1vn-DD(ZiU3#$FkK=`MMk&%E5G8X)j zUjYpAp*{H41bBfkYBXRQAgItCGUSb0&`0%+k6J&&{2j!9l4mU~4G6@aWdqtD?qa{Q zo(912r~aXH`QJs2tQt^CZKK!*W}sGsnuZ3X;O|ADN56jpU*r9yK;%FS0ID>;R)O+` zpck@jw6rkL2k2-Xhl8?95Xt0E4ZpPyvHoX)IRC2d*9)i@a z`0KGe`IMfVS^0JX4Z(l}y7AjJbY}lw5J=;%%8|WiL&)i#4L1Ie68KYk;5#heKl$S| z1ndVuki&h`R8s@9K@G(DS2&;!D6nA&a!!x@;U9JQkDh&p2tor!06Bj{R&qliqRBjb zMf>&g_cxpxfI#*m2>8F2!TkwIWH=kjL2YlS`qjg}QV)uJt4Kx%FoSP)f7Jl;LdYS1 z()Pb_i>yAtLv}vM*U1qALiRfoe`xmWIDlM-To;E`Cv*EB#6wOL{vIdEz{v8Ira$2! zqxb{h{}7fR`}v)dU$6sJ`3H~w1q1zmSLOcz2H)lrcwWqz_dgqm|Hq9Y;$qgmm^E`k zs9ht}7PEG(s9n2utvLH)o_+QqsC{;k%$~Q6bVF{3bE(O=IQjKCbpZck(0m*0{`#s)$UqB6+74MvNuJ#X znbAH{rW|-tLUbg>U`1Ja;)wrZOswT?%LKOyrwJ{yUYrjRq4f~X#$}4K{n?Bf<83EB zNY&h?jIUCrbSQq3jH!P(E1H6XGtYBdq%6FpU}_YapM+9jC~#S{W8)JstmIo zT?z5n@Z4^0w>r5MtWW4js?XOhrhEZ6mik~otk)|{-{M~GKVBem2;D!xCXRH#u9M@Y zmF1Ps)ycSWZW)9;LYl*dFmw+{74aMgRs!F#lq(m^uyW|ykxo@y61mTwjXdEp%Btqe zqF(8ONT-%Qq?>THj;T_ld%q^oNqCC=Ot!5WKbmweZ+?}l_Az(ayT2yK@06;A)F@pEz--Y~H1#;osl!B(H$=xz6zj?Bxhv03 zObnj@zTSJuY-i*wO<{vbK(tUBI{Rn-_4ZO>w&E4{ILv?=FQ`IkyX0`jy5B+>j}rUkPBVWNo48Z3YgTe;zFs6 zp(@8x)jyr{DKFNtVn{wkktx6@a{N|#JlM@=G?QkE6`#BGc;VyQxO&}QQjjOSO>)W3 z?P=9hP%M*^8#$}WB1}&*mS<-No9Q7lP9_!22WPCBU3pkv%Q0>VUz*{t5*J>v=cRJ< z-P7Hy(k$v0(h1J6$H&!SH}bll_HF4{`U8C-yxO4^ueZw7h1yRz+e^nj8B5 z2XISID-fsaWh^7vXoRImFch4bRzwew)|^Q=KRwa9Ocn;z;p|J|o3%|8jW1eYhDl%n zwG~46NI$OJUE}`NTeUem!+$#ea03JmX`0L~RB1A=nf6_PGJ)mS*$_cI@ghLW;k-D` z_at0jFUT63LZb;{`_BUIcbRx~1dL3z@D$Z90M7b5G12;U7hngwh?1D1k+dCsdQ**T z_o&!IHj`u5Lg&$Vek#M5eq#73O-_LsBce!?MlO}m?vblMenMW(jlf|&8sBx%rW zyJx7SPnW8O9-VebbK-!tJZ#s`qEnbRd#aqeG=MI=YB2#x@9b30)HIdWVefu0bGjgQt)IGO($9BJQ zKj-Ii^0?9z)=6y$wMG+=_w{aL+WR(xWBgi6Ch$b)?0$Bn{}@LUnldN76gQiDHNtQ1 z5OqevAgPYM=~VKlddRa>D3HH9v>oy!?ZDa`xF(uwQP7^W=;dBn+DLba6{t}&Q!1&G zHTCXVd4!U2oYLD$ZL)&)H~pO{M*{l_3?v`3Q|_2VMw~yW2|8KbT&K_K zXehQGXf@r3TA?D<4!GmOLU!1guo(|UUGdMT`BYP%wuNNeCFLv6GNpN$^V8E(Z^8rE zLXPtkajgzt}eJ-$d@J(v=l z7NJ>h=ZfrC?PVVMaooL(vF!ll5(W>AwQ*0$s}o;TAJJ+QQWY!X;KXpbD{vsMp2AzqVr#-t_dqzR+w z!D-_zO`45 zC+1kDwrR5xTt;eXTttS&X1B_nfkq)6VqEKK85WjT{nW0#Ac6zu*2J~y#_WaXmdH%= zbGi#8_T@D5piR}ID(|}}$2tQ#8r9YmT}Q7`t5O05&n@h7)~k6cWDKHjfyRQt%URx+ z-YDl-j^JRpZJfYF4X+~=xHdmlv%VtEyG;Vf3GfON^ZsUsd@^$vqAd|};(cgNRIX9C zoW?Mn_`~5FOqT2HfY?Ji3%zu!wi5}V{K$*dt_{lJ!AUtcA(gg#q+!>AYELnuz*>B| z%Fxok*)%`Y&d$2D#WA+bCgXQ@7yI7Wt5u4|6ryW&xQofB$NF8llCfA*~+>W z$3kI`bO?Yjvp9gNy7o4zcH5v?jC721xDtTv-b5{Mp4#dm)*Up5O|8O*mEuXo8~B4h zIEf6|mgy>l#^*^mNZPUKMUwgM)<5Nld)T;A*+f+cB(@S-P|NLg;%qG`{6!B2DaNMr z)3kgJn}bU6N*Wz9=KUaOwGUCFh|9Arbh{i_8`*@^YK@TBiZO_NEH%<5Jv=O55T#zV zi$M10ZlrHFvUT-6(0mu`rfwtENx>3 z^VKIZ5|-&&nIppodQ3TOU{9$>D2K`8wHVMVZdeqwz6&re3x?MU6t|C$mu5fW14X4K zTf&plo$E7<_a5XFjwCEDj@yL=33^iFn#6}4w~^&WHdef4r58f`F^hf!qbTI976Kkh zwVd&7tnSlmN%j55l#-C>3X=$_5&fkkpha9k_?58jxDBQ0Ng?N_mD*{z41tD>Xu^OGqpOf+^Y4jsA3>f_2#%H zOaT(AfeP!g6Wsw*(D(=5Ycea&hAaXR9nI}b276esWfeXdL_U;bOI*c0*x$s$C$v3h z)cT;rAe+h)k&^DpRTmAVRzK&?OfzNzYRDkOPi0QPT`aXdIdsCQBbuuV5bby^oT*5* z6ksf)_fXN+N-JPYy)1Av9q)Tbz_si`&vrk&?dCF-^ysxh5a3cHiw zLgi4C@zGN|L0RklPo03XRizWh6k=lN5XVzaHrzt3onyXYrQxLj*gc%YpOz*qo+vNI z>vh(nL9`)w=G3)uHGg7fx-SkIO|+ws39{_dINC!@n>1gu+IdQ5NZE0yA;J#1s{9+( zY8p&5O0_W7m`c~Qqbi?$4IGu5rQa@SR}gFo(j>sh zeQB~HgILvaPa>R8L2jmz05w3$zkZV3a>5Mqm;{pp+09z)%eq!E(XmY-1SC} z?Iva4x`}6L{8OGb*p!k)Zk2%>&NkS^_HcH%qRf1*65e~iNY36p8?bs{+oYR%ZEXx% zp@^@DDZOzYk(hoM?BT{LsYY1P8X8;rioh5g1<^I*SeD8?QolXKK90%?^Bx#j}Y+ z9o|Le;3ev1Fs?F?g&;pB)|Rzka^Fb}Jko4HN@?48E2vF{lkOafA=GOsgq38;1na0A z!J{#JK5}LbU`oCHHbw9tI3}{;DOl5lnQ6M)XU(x50nO?^b9LUIs@LrGZXcIJ7l)-w zyTr=@sxaH^ZYo3mD`GLdc6Dv*=UPeM9Jug#qwa%8EPz_^8ET0IO~EF#NwirITqm!z zJoUsCLmcI(&{R19#$dz#kySs9R(;x@%io4upYBJ|wXn&EWvtFFajCz!QLcw-%vf45$1V3QIHrZ1y1g1!pYt>|) zV`3d3v)E*m1?9FodmYls0GK+-SnmFc%oseK1;s1HP6{x#b+^z;IT@&s`nk@k(P1IL zO!YxBRTls1owc#zK8hB!_w~r;He$K1jHrvKB6|ns$Rv{ww14i z79%Zo$0Z6TIpg>GY{!7ROc*0&|HE6OLl!qYT$RJK34 zDSr{hj0g!$H3-ve&-bu7)Kum@tEq6~&y}Z>SG+`qJn|zU0HG9>BVPAADp>RAS-#zz z5dxl~3TL%4yqz}alq9v|Ww>p+ET{)*FZ%5KFKp^;Q;*ZnM|6=XC)c-#lKZ?l`w@*x zd_}NSfXh_1gi=FsOHP$k(;BIo9Pm;5OiHc&xWG)FC)w6k!ErJNLmjtAmZPHQ+uA#; zfVPT15D-*jb+~=#SZkV!RX!uz%`SFItI2jNv`EQ$f>)6i_{<;C9qXBb*~kVXQB7od z0gDAI)aeNEhrQzN9pC^<^Ok45hkQlDrm-bX*)m#`TUx1&?ADEkL~-BT8b;a{jSV!8Y8c5@C_bc!Hj2IID8>ksUU^H4ZN3EHT;G z=@h<^=HG59P;Uu8(;gLQHA$=6J$~5Ve^~dG<)rM{NvD#5dtxIuH7Xd$q(t1KNirv* zus3tviyg*OjtAl$E^1aPBZ+vVcyPd8p$j#M44!j5-Dadpl)i;2^;D~-!^HA_o4N#N zuUBBDLedO%>OZg}r?kFnN#|md0(xBvS-6GVS8bV*SZyX-sBg+u-;->?BC|c11E!Hm zGuggVg>k9j1uYXODjmOE`)x5>MnuI9)m9iLDs8!ee}82p$!a5-(;cFeBcreovPF8Q z0gP9xa4H|s)7%knhSo0C*$1Udc*-BSzG2$qRO%OGv&LJ$cEoGvl*kU}M}cFvb8_Id0p7P3 zVIm(P{RWG}-%*nR$ zD=OOQkrVe*s5yM8Er@y1kC8pjRN5f`K1uTO)mc#iQZglk8lrmxDbxBel zvB_fC;?g}4Sz2+$nN}yD4W)3yh62*T&(_ zJuLi$aAk(!Gq%@5LohWfHBh(_j(^X_Dt8=@VeCdZiXi^u1v${AorRQW7xsTMWzfO6!B4!K*WtuR1{ zP6xu*>zO8U8r%TTWX0D+j`l8`>uq>4jwSU_uS!G?=$tx&s?QN{Y)j<&0Bb+uSesBg zKbhQcL%4y8 zn7O~el_@XK&@(6D(RhAHC33IB*rauYK4p0-;?^Ua2Jc+jZJf3Ml}|SVx=;;M+EQDE zZ-^TreCS1J^g`>9Y$DP}%5M968eqqXuxZu=U{P=;W?AAwDuysh?dart!bdF6?40!` zuN0dv+aeXMHQs>=F@!sGjn3sr%t#{7@{3}MWU%G@{1JI9^s#h9aN|kzidr?A_8`Z? z!zZZiiqnS0Yd&^|fudzCGlIrlQyeZNxl!aLIHz&ZhA;}&(MeqxQTGpsPjZheu9u0C zj678`6s_5W(KBQ)$Qh7sYwlZ?qS$;VwU@l=;^k8`{O07hvb~Bct~#-dH#T7LG~=C> zQa?UTY5tJ>$Pi1?7WC{)mGK36W)$Tb?}@e+NfhBuhomjt$B>R+B97kEkve&MR1C*JxpmE>&1-ES)AAj-DOUS zqXyS~ur1-LjUcJM6~onOWCxdLS*j>IQKqcxY3Hh9HEs+g+hodaBu?GU=&!>^CfrYZ zIIvO85XUgDJFE9Jn{|PM_+ZN)xTF0KZK+l5YUoY-reg1LHpWH!9@Muf4G>5d)uPH4 z(jpwsPQ%+#8JPEAXm>9HZOQLgp*f!9%-=3?_Hk6JuPR_(-$LL9v9ws5Lid(E61uuA zqV-@zMsx{@OH^vCzmbqb*fzh-VO+(0xNO%Yv2!HXY``Y1qH0uivpP%IHpi2lDGTkd zwae-d3r$gSzsMJz>52|?d9Zg@RjV%GMRz7DC(Bt)Pj+RLvKP-|d!-{30Nsl-Qjk7n zm|#8 zSYuZP9adGFsG1`Kxf+$SM>7S){k9Wq^DeDdJ#54L_zrvCyT_z4OVw6pkQ)_!Au$(X z)T24VRAL}|^iaU9GUV6Dg@IE(7!-49g;@?z9QjKEv^Z-#%jhcPhGhi!q znMXmG&{F6gGCu5jp5sauig#&OyHNC4Th*f1L^V;_i;u6cc{md%<;a({i3blLk&56l zd-908qeScfbr~%SxK@GjMCpT68<4)H2a5``;VDQ?%w1a(oV1Ri%4G)IQ#u< z$Q+X|!Y;}%c?XF=HsNx6ucN1xu2vZ3t{&(qzH*7CCloX$%sVd;*I^a3!cdoX!4r-T zR_9?cC>@H8my;>L*%?M|PIn;^&fLm7VoGX~Mo&BX7hLFF$`tQh^$M#->1?aqJwh&$7m+?(Q>6!@D)p=! zg7gtfR%V`(RcOkC5z}jtzRA>-6G>jY`&~?sfZ@J}j|kv_k{;QULxvCvrL{l3sb6KP zi3{?;Hx_1YWh!#FP#MT#>civiqDz^uZ6l?jR|jRZyzef-%}9 zRr;oPCx)~D8U);sI)B=WJyuKDDmLNgL&&X?wp%~RM9+( z6YG=ZnMPu0Ona}yaDH24bnx(SBwe(loH2n7cf>|~@VeZ*Jef8oMvVTzrf+W1uh4x{Lizv}24CUCm!v4a&dYqnCbp ztfh@lam*3Kr?xg|W{vd^N8uG7QX^PJ!N3-*yrCjaRiKQJT(UKwrg1;75V|~qIcIDP zxtASr9AdDg8TxNrW_8ulq}V9JZX^w?%}r8jVc^AggBvnrb!YG!Ar!cv7g?m_tAzHH zYy1MjnF$ro?JgF)EuM=78&i*5rhc2pV{eAn*A`x;f2T&U56xFvPk2^k1TABkQgB;kq^ z5Z5SFNJTfm+5%Tm*&#zELdNCz_NFTb_Z>?L_mMnlQzHIjWNlC`^*|XY2?tTYuuG?3 zMCXZCDbJiA1A(JtBD+`=QB*OtsRB!_w5GP5SGE3)d&54ZGg_mXg_PP_mc!hftu&U8 zC$z=%y>aR}2#cwT;dWjC@u?kP_-JEDOkUn|u);N^SL*1+725|(?ylJs&Kx~h>;wSV zbHjIW7IOVey@%HqvYlJ-terSjb&`y|iHLoM`|bk&xH@T8X1H&}&EkX&MC?%wgjy*r zV;A4vFQb3(=v8iIGUHh!r%cC>&aHQ5Bk?U-S2j!HM1xR>K&3A=b@Ai9cP$O4XF=@X zVj|sPnQ=s-J;2Ottwa~TZz@-?1q4^E$tWPHT)i2%L(Wbth8%czDJN33nxd3VB&Q&M z6Tknj(bVI-g|0{782M^T9VbY+q!|opm}w|e7wMj8*|=KgmxRdMTG;H(OchH<QWmlY%5C za{$pVWFFH;Ntov9(PAa5e1cpf__^-?W$tj=>+o%14|MgPqAd`zdE#G7!(&~VEwcN_ z!aVrU(C`hic|`l}YISi_dfOBY09pX88i}92Gd1yAU+%Y8aT^xqXy$JD+q;KTn_y$l z!Le(6>zOT&n##Y|dd$ALyRH?e(V}WezvgEk+mIUU ze5%^c`Qmm{RJ7JU7S<&%*a;T5xm5vFhL8%zgn*MtI|Q@0$k8a2PXWk_pt5yx!okwM zQ{8oxWR5X!0DA7cw_JLGDOoGozSY^@jKY z6ABa->BrQCTNZ{0xuHqWy`U18Ir=^4cjF_8R92Pv#=GQ!2GwMjRss4%+PRNhWrZn83dHq=F_f`NYTK;2G_2GNYpU2;X;(-6~IS*_RjGPG6A z?MrgdezE8rH^&v6VT6)qDvk50j>4MobiI8=U|=9wqJnTg`Zk|q%U!JNa4qS!;D1U^ z4gi?vNZ1);W}B=IKAO9cy`7Lt`E{YbVS&7)dJY+4rqEwdZE~Yrj;EW533f7;kK1>Y zZ)k8fO`^JRC0}RT%srJSbGv}&% z_Byr7x8?Nq#bFpGryXQ|ohdxYVdt5_qG2G4DUmkNDWfbX(5LG%wAo+>ggY17u5}?) z7NhDwcTV#ZGi1^={FO-^K}xCA6dH7_Fb=2rx`etwLi32^6{0>#0ScfltU=jbd0tP+ z-W6aJW>|mJ@j5TSoLU%hrjnmE_yAirWrp~%KxH2Ko6Ev|mwB{s&}Gq6>8Ld5?QRuG z@KFr|JuhqAOkq`lff0JoMd9J}5p=MtHR)5pU`Ncd%LLFBYBtXu20*pN7z7+n-8*iEQrql+MUxd&~C{U$t-*A@~Ur&y&HnUf(RdCjJ9RUe44c+1byDOiSUT+Mt;s(|y zZmokKNJywD8qzi6Qxz3wcpW`PDXq7=ZP+b98I z#J+4qy@`mGfOcs`f(JamypsG8zh@x!PAB~K@u@qo6~NS zndU$Ws_M_Kwdo2sTo0bLjn|}E{091z4-?&)4S!%}Z%B;7vhfldgU63o=t>l9SGMdCO#VAV)Wz>1hc+Gf?7^##N`mS+IW{ zkPJ^r8|ybM5EK}>H|4HXDa7@wRM$f#>P5yY!bQIZi5TpwT(jC{^GZ2h&pz3PgeXNU zw6wjgi!cp6Q%<>&V`fg@8jz(s*+|_4U@R2&vmZ z>GQhG>yQ~s;RoBPFz1&-0SFJ9TE9d}iU!7g_y`od@hYjxU@AB?x z7H~Ssud?O>XfkY?t;NS^Ikg2-hb`E0XI+yAxipwKxdCLJ^J19fytuS!bZ}-|qH*KO zDRfUazl}+$hCU}ur6!06iCYn0Ke}&}ZS9B&aacM7Uw7q(Y4cZx3k)b5El7E7bUivu z$x?`&&+JNrYc|?yGSV1CC{$FZz<84y1}jK@g0#0#ino)EXnm#OzH5kx01q%n|5JQD*s5pnE-<> zAxVxQaRn-|P%0b^%V{_CG!KGZjWm8sB*iQQ(%uVq7&7gfZn#LA>K&BrE*sPw3+{y; zTfj@yDOxpjq67kWZHg*I3$^`tB{!(I46o4TSRPmJGAC`dt%Sv`q+4EFbg&PHyq4S$ zzoHRyfDh}fy%|LxerEdFRpD;f&KDr9GHr_C! zDxquBY1fu1|3xtkU9sME-0X0hl#``=6g)tT8h932q-9g+Xf*!zEmylHsZ z+|x_fy6qR9Rc8_bZ9gGSSrZp*(k4isu+U)t_x8rGrA38!c?6_X?8D2xQNw?q=J4uf zaB6$h|6>lIhz!dvsi;T|wUD8hEwN=-h?YGs(z~v(B5m`498?9UaS+xfds>^@hsIa- zt{%yM0X)0ipZt{QAc-H&M9?ngSid;y&vMuNjTuOSzki_Rh`Y1tgZ#->p+Q{epSh9A zCrjq+b>~`5e|3NY#%@Eb1H-)a`F{2!JE}-4TA{bKN1Z_v=}39tQt4ZgEP!_dc54pf z%{Au-9tlzZ^%uGqTEX@Ev?8Jmi^10xB`dV>^#4$b!kT4}<+3oO*m=ykIF!1U!=vcS z_9N%($OWlJwV!`~Fn$T9zT51GRyj!mMufZD|MCrdt8sVEZ(VVt(r0g$BM13i;Cx|g zB3lXbZi!#l!!P3Zs_)QGI#1unr`Jz!uD4n}o<2-J;};cXCEe(bg5PG#j5z@3o5!D5 zgy!8RS-%n^!w~imVv$<;neU|)ibAgGm%(F|$x=xgPKz0HMUr*8zXgaokW*N!hl(ut zGBz0O1mUgz@Vw_gdL#H!AN=g6vFz{g_j$%Y#@me($^`Mxj={!KzbpI8wvox0$N$5& z1o&p?!>m>Y{#)*wp8RjmT7P+ZZ!>>?j(g_JMkkxN!>MB=M?3YAvsq=tl!XiZ@fVrB z2eVH@7P3+*UMszB5)KGJ16U$$skW)3HZW)(){U1ekw0?MWeYmhPU?o~_#AB-KOdwu zKE?k^>>3IzwXHaCWr<>s`z4EIlA9U(8A-L246y%ic7xbN|E&@lm@gPH0X}b@Y)&rw z-$LFNYDaj%lCvNjynEj(PYGy%zjwQu$?l!2c_Vz98b0|w z3>I9`UaQLV$#%5Et=isz9vuOb*DWt^-P-XBX}mhQa*>+~Re7 zQ}Dl;MpC`u7#;Hs#y(W?FCyJCG$K)j(@h2B7n<<6cbM0!c?v>OJ0vtoFeu59Ys3Z6KjxFm>;3+ zQ8GX~qv)+R^}m^LNaea5bE}AZoV;xFtJhaP>l4R&%y`yi#^dsI+y6II7K znki&*jjmw^ap2p;*Khl^n~H!+;2O#oq)=TRw&OUb8e+%B)7pRkK)K=b=@iKa{8UbC zf1wk_s`5`N)?v55yx6%D;Xml{QD)+P4{5M8>2|MSOb#T+CcYU1o})z$T(Fy@zgqdM zCTN;MWk0_J1IUD}hx9jLbkT1ro@ZligN-(~zPS9rDspQ6c-`aUN^TgMtr;MEKu+nn z3^zWC(ucL!pNjq|)*Jm3x2&)J+*(|)eDxh@&MsOxtOHsGP$4b6jrD*0T|e+fB|;=( z$jfwm6q8D$;{bXD9&;ZH|48tx?kX2KE{bDSzEqvBc$EbQsFl+59B@6df)_-M-rlUf zZ_|QS6y+IwFS;@k9UW$)5sEJS_~UZPV8171Tz**j63Yn@cvBE1Zk)~|TU`R+x7_|h zxs(dpV%G#f>ZOx@Afef~c14n(>;KG5reVT`-}98;{DD0Ers^{u`7!gR5cO)AU06&t z+pu(U23yjW90e0$QvMwJJWFOZf-XDnioag^%`~PUq^GV_u5T^QDK@yT|`M&w=vXeMgM&!HLl* zp1~c`(|odygkx~dIcq9q=t#X_LzUekLT21IDkRr5DCT1BL=mSABWZs9bry`DY3cjOmTyf4at$B)cJoRkBs@DTq>i>1a2jG*kX;1_ga z2R{xS|2@-mYvhuHfzSep`WY2%`^oVQ{hQYPMW|Q9Oy9d&gMy6KH%HqbwEYejG+;zj zY!7EYy3=LIJDYTdAf4IkR22(IT}VBV`SDW0V_8*wbln|bOw>jEY_ZZmP#-l~4H%3D zr9no79^wM7CCGjeD-y4=y3IR^0=sU;b(a5}SI+vr$?&Dp$C!1?fg)b<3}<_FNR=f5 z6dM93!g2aVyuu|gG2`Sg*SEpiK5r0#v70VKjBmSK0yr7xN3{^_tIGM| z#8_Py%{ajq@trhY#H?qpU&QBRufKgCmp4`OFb{K8is--k{8yLj`RHblR#%&Jp^l$~ zq|^-N3rY9Vkh(07!oj0!(vhpozlEkumnvpj>r#J~N7QN~JqOG4COkG-g$ErPljJ_H zL%!jF0RNvdMtOg4|2l66`%2air+I;hsQGl*stf0Ec(X1~?CLp`=&a2Crt9mFh6Xds zKEBiP2rUeYAhj;xWca32-lst5gfaUR1?n(^!%BI7@3_Gt|8@iy_7v5&zESiP`%9MS z`<9;=o0DW+TzDSUtx0yqV~F>1cz)b9O8V^e$+0qjr>Q903)3h>FcYtsXS^ zI-Vv5^j`)OPO5K`jTq1b>vjG|d#%MUYK-o6TrBh*O<&T4s!K%ZH+vIo9hajAFY-7+Y#y;ICEp3wk}Ql^VwHZUP(6q~%m*KVOlpQ=R|!Slx-l#kD4xf#6apM#3>7 zE7PX)-wgvr7nhXG=cT$&MV(6=Q}A>msJxXT=Z!VEUsK&Hu+En?`27;GO{?ThKJt^( z%gd-7QdAFXHtElNoRy)0@XKiY;CXq{88r$mn+I1H-F!qP@j~xLg=zD&hMnR$2#v{c zX-%*H(1!ok_gOycnR`lO#hWxh;7bSn(pZwy!Y*H_@Bb!ac^{b0Y93lMsnQCDF_JGI z0P~6M?fRRsLRPaD9~riyZ5dXB&j@{0duIv`s=f@FY{5J~ChFYJ(bflf!Rn~2_oHM6 zNhxn&GJ~z|`JyJkrxTqpE%oe86if2g__T_k&v&moy@t-b#EyUd0Vehtg$Qw+d=^s} znOIS`5d9FxjS6Dx~G-9BRwy$}P_sed5TrH-I&==mkm;*&1Gm4u*k zvYs|UPjrRGel&gfVVha1Uuat5>=MY-IFdY{7kAGy3+@raunxtp!L?%P6N4wuW|KNe z=0iKZdcr8cH#n`<9rr*>hGZbC z(|H>VgKWJ$1Y~Kp>%9*TB(8OYK2l_MWDz<6X6;RY2Cgs751*}x@d|luN+~>~QJ=oK z0IMpJ8jsQb#^2|^x6|@U=mH`>>Z6+m-)lWuC~o3d|0+>0VQGY%y;Z&X_$kn^Cp!@WXW%kxc> z?NuM`o6o;B2hXDUaKVC76}NyLA!RAViN&W*xf zIbNR9z&1UOp8k;pdzq%LnS^4tP6Yn}SH7Cvq(DZ$5n%mI;XP&46;+nuyNcs)JzGex zt)9}p3gA~V;Xg@)8=~z`J$~_rxWAl1yqgmE0)=&NjD$10d^z_3zBa6YW0H3Z03QT6 z)+c-bm#)jj7JP4;mp=G|*f@PzUsHv#{_FF&x|0){?|#L}1hsedRr(5K4g{?YK@)(d ziP-ZfEma?Ir;8L2(2~OTHf$KY@Ebw+onhWTfqa7&D;4WM(2htzmS(My_(hQ|2@diZb5|K z2Yj-X#y`4rQy%@D*vtz8FujeKIbfOo*NMs-7!|+qn}czii2-(S1Dvc}RqZdSCH2$i z&z|>eUuE+YH|M{PB-U)TzGZk50f%qp`KO*2=WRk%iV#^d?m=3V*ze-6sCusdoKzaPbIjshf4*0`>(^csAux#ch zir3w78fW4Ji|P#I$h-mDwNlBvgv?s<2%nGzspiUP&pxpG)cNm~RZYWHwxi#fqCDs# zwn0Y8GIjnw#4NXq4q=0fq9wNXC8(>UmoEr(u)iTGzgZr*P{=iiM+$e#8o9G+|J*H| zNPf!=Lu-~NM&~@~byOC@7M;HT0ZF8OVKJ(_Hb-p^ajanL>2{QV@+c*%Q@uTq5o`}i z#v*4DlKn}z`hab^JucGtuUJm)eV(gxi0b>rZ%WKV6shorw^ESMj}a;T)51DFL4nUI z{LVGd_lz(0EO=cy-j%P%EV28=hBjY$T7N-(EP`L23ae` zisM7S0r5=jf_3s#z$;GKnZU6XwiBGgrSSt89mOM9>Hkxzdtt4gg7jZ6o>+FyusyUZ z#W7ba7Agw+2h!a9sw0I*zr@WYJONW!#iP3+Has&p7%?N0Sab}@L+T#FLh7NI=1o-l zlhEs5cZ8FDescPhS*&d(4ZiW95OkJvFp2m>t#!2NqVY_M+85wd&kBazrcXwOh zx#Q>jal5`JAca(Hs>_5MUY;4#$|qTLP!3{pMf51Qv#tithhWJl>GaJ%C`JMm)9WjN zUj>S#NYdK%g|*1?S>&7SYbU-HRsEBe;iE=Y^?@&vM_4%XH$_V5rC=2Es&C1UlH5X* zbE}-+tmFIN-MwjkpIrrJlroO`?2~_l|MsYw7F>QDA6umWYK{kfSQlxIuoD081kE-9 z-cl7#_M*@_PQsv&5VPNYS0gub(Vc2sdiq(0lwFVL1DrE<@~7|Y1W}8?^3T%q{jmY+ z%0=IQ<6;X$67O6^b3%hv#^R{{BLM#s`X2XA(Hbe7D`U6{s;@VO(NtG(gXTx|fl+o` z1m(kOIGilz^dp8pS}C_@c}4^KRiLPuS$eHqIZ*I?^!%;j&q7!e@!e#oh9*pm3b0z_ zi+G-L?OF(wib-zUf%T1gOzEXFtttMgr$#Jol+S4`dnTGKm@sNS7w*47MKR$8!M{7u zSv#Crb0TZP9;6g7I73Pm``#9{D~(>kW+xm1TYuVAjOaY6e2tcRJANB|-DO#^8WC+@ zO!c)KG=JLmB-ZnKTDZJ#?hL|S{-v220|x}u-}rv#togbvCGpbBoWn}z^~MBU=HY)p zn3j*}PG4Gc)<4` zNl%C8lQdZBtW0lNzr4PI!eQS!!Gq_qLPK#{dFO8e5g%o$ue8xtvdpXLF%u+K;6#O= zyuZ_a$&3o~srer3|Bov7wsEcFAR*Bp&V;~R_eN`8PkMGhr+REGqtGH2E;@=3e;^)4W|=R zR4k>RmrLKVUVm)x^*FZd>n7KHm@yfc*fFPHmzex(Ohce{(fpULEGVz~wyu0J|J#c#%Zpp(&gyL` za>LIkB!ML=t9ciL%Z89uWyJ_dnoU~=ycC?G%8uT1oax<&D+=SkP8*N{G+kW%-k|?u zO$Lv#!@-KaiwpXT2I>_Z27#X&KD&`1y_t(Fc20xwA^h7w0{_*{Vc5oVTG>zVh@v9={Jsy@sfR(LQZ8Y+! zWtKFO`zw||X`{Gq9phyVJ|p;c=Li^k2`xhQ*HkJAs2xefjBTz#E?1EJlhq4t&JBRa=#JQXJOISZ4kmlGqg5%^GFb31%^0K-VZBw!-)a*$PH5 zuzazW$5m0~I_2v)@(>OE&DHSjOF05Mtjp<=OAtzlB1-X<9_j}D);dUgAoHgg@t7Kb z{F%@t4mT(p>O!08vG$T$XZzDNtV5|MzJ3w;w)7m!`cw)IlR9u44{I>UekG95!kFn` zpJ*`0{a2)@&~I8ll2Es$R#eLW9H8_gUg&F9lCVX6um6-}-z$%UYyacP9BHurbyUV| ze989RD}Q}Fo&UMR@`V3nuj|Y^Hqyf&QjX{~@j}kB1gYqNY9@+<(kO%C+f^$GSdGJa zr$-)-Lg9G1tIM|QYX$-&H(dG<>JZ30jW_TQzM^TRtl{}BuYt$rykI(J*`Spe^u{<& z@%Uf&%xVC1ibwUk@RElz^%vLm!4OH{9rg#wn@s=0a+-?VPY&Pde=>if5zf=}eRE<# zo&A69eF;3&+xx$rY*|ybC?TRmMA=eGk(9KNN|7Q(C@uDV-?y?HW>owLb&O92PuMRP z9=8b;UNW2|&<#g0hbT{3tGnK|dKla{XmEMj-_XZEU_pt%Zm!ySx-sSC$kbHBC+?j- zX~WZe{evWAY0RO|+&uL>Pe^6B=MwjvV}{Kv6rawku*<&S73Mvpe?ciO{8Z==T71?* z)XwQ@_X$m6`rdm*PO=Z~s(r~azZo0&EKy>=xz#%lzc$*Filf4Mmjv;r;+0A7(XK-r zUE{pRmM@S(bSG@M{m4cUx6KxoE9WnDEC}7ymqq04I7q<|AKVShOj~Ye3LfBpnQW!W zR$?2zoWAc+ZT8{tVlWdC%pKeY`ato0&t3#13JF$`-Xt z4$#VSsHPCauZ-)z443y)VdO)O6&#YmDWD$W&mJ;KsMO|4aH4Z7_ZxL7!c9F*&e9|& z2CnUs6=xaRRe^K3Nq)9}m$0)q(c~dsq&l|i5SI0L8m$nv`eB}-^D%xo?m*W0rLQ3! zC-x}k*@SBc5^uXuC1LY)xaGrFO^C%B%qDC?BUeLXJ?bBZ3-{Sy{UAgO8-;C)uOK~j zet%n_*DN`tfQ_J_t3{%!o{^umNd6>C9rzL!fiKW>EKys2DV!kh*yOqMYkWfQar?St z<%N;Q4}|Vaj4$k~4(#(Wew)M|TzqUf`R>zX{MPJ(t^Hds+;ua)Hhh6gs7yEO8Qg%0 zH}K`YB14#>0yjel#VYZo?9c+0>Qz#mAPvH8HN{I!(7s^MQE65MSR`bCz&wlrZ*D&cxSxHVD2S%SyP=m5g|`sJvLDPa&&O%;LSlQ}ivM`Z17IrSH9iDmM)M2hP-mzTR9cDV>t|w=sim+u1U!mvRC%lkqgQ;Mn zgsWDgtOQ8~)A;V2sc%$=MV#JHOSw2NyhD0kFlQIBM%&hidoJ85GvY6tK@?CsW_V8f z_VPLk`+8*uqBEupmSC{?*qTAB%B(^AMD)oEv$8ke%%SC}t>+W1{EkxY6Rc}siPF7W zT~^~mF61U#anHT;jcVy~-iZqQwBUepo(R;E^UQK2bp-qF7Zgg)QZa?s2v13A7;&~3 zb=dYfo_wQF^E7p5SFzvRW4rqKzP{i?<7MSon8kt;h1qWD^-au;-l!?BL~*(J$>qpp z!W)E2?os)!txS0?gm+3_^fI=uGh(E|4@c!F3 z1lg=6K8r`6nq5zk7-et7f1Kt%-{c6(xmBdl5_5O)m{4W7sczJb7Rf++FL4%!YOyh` zqe@577=2!Y$;7dn!*IOANclM}P0`-G>U|Ee!%}4WXK*_v3w&5Po&QYznXQJEk-|R0 zfiyJa>~iL7gx)OXH(v}h5KhXxEM8K$4x5>^tR^!WB2(p*aUVG4v~Y4&_Y=Kzo==~- z-1161W0yc8x86-*qUH*x20p6VfH5T3QHwf82hDfmuo4aLITNZi^Hto^o!34zu|}#e zy5h<)WH-EetI_gm8h6*~GaGHb;?&3Xwo-%hjN_>s<^D^)@=EthSRebu!e^8O`x(>A#Alvwjz_Jv7{Mn_9-ZI_eA;y1*_!E1 zcz3yl_0tueOKbCd5~61~U%QnwbUWI2g6Xe-U~z_@qj*juV9CC|>#3tD5@sMvH@WW`%OgZt zj2;RhOBJ$sy!_c}hbZj6urhaicdpod2Y39i^H_M=@pqBuL8&l3%MUwcmBw|a8}1HL}zZZfBpNK=Zl z%O~YDjYN=3=iu`1j4#6jXSN)=pBQ6IiKn0Ig?C7KDV&ihvtg0->l;&*(UN&nl02{A zd_kkhjvdYH=+_NyOT}8HjckLCuZ1}ps}o@vqG1)%u#7s9=uh)UK~+O zr)}M3E^%!_zQLDETRo9%{W}#wU*_Od;D$*zvSw`Z<*{Wj) zWPIeJyXNq|`bEQwLuOAo8gx{x2||5{#uD~3nY&$?!d=+l6OY_3`!23pii@^nqzQ`Cvs10Yf-_L0-8+tJz^g4G}NG!GX#5um$a94UWgz^5(VsG5? z2EsWdB)3_nw+t0HRS>EjI87^~UdzU-XiV47Ii=ixFr^$LzZ2=Ubm-l@8>cFFg6u(; zOLG&#dJa8K@$X#ebyY;C`^C4a&&pnl{o3R`@6sfbIxAjjF>D6gX{URp3EeTS%Hx9f zWvNV7R>O-(N0ohz>Ucf5_LXme5`qPbeo?PGusH=e<9C>4tG4?Y*C(%^?0go!=qQD! zA4VO&f($$)Y5)AC4f*P;PPw|+gk6dOyC%d)F_Q2|Qdn0ijoFH&q^7SKTfwHzjHQ8y zsOoINH=o%BsxfrsllIg!$Ky>ualoFL9M3z*SRcq|#f5L+NS@as-g_duBcWmk!v)=; zFnJ|doXZIFMHhON zESj`uF!6W7_<#n3UHjPwk)@O%_mZXA}%pb%A2(~@n4e^ zmW`tJtoa(#Q+}QPj=~wV=ViEOGs@9*^lSb5J4Y?|yxzojsNVseSDnjkMQb!4Y6SbZ zkDe{S6=tM1tE8#nb#Y<`!#(!8{X0)um|XypKyAMcd>DOh;PnvJnY#M?C+61y3X^0s z+h)9#X8pl%L$C5C&I?;LsSR#&>wR`A(y94$aoNgDJF<}>s|)*1eOqe0g=MaVZm)%T z#;4&XyQ7N%+1)5c_;^0H0A{-sn8>_e{qZYxLB_Bf=S_S+v_LX}QTriz3AB1Y7g}rrj;WR&-5fB`N+v`dJ=Sz2_>W(h3uwwgP$0kli7}b zY96rk2?~yH7S6nFl`T{k;o=n(6J#zD-`5xVk*oR8HJz8HC7)E?XP;~92J(>WM}&-H z>MN{!X8bX3_~?~|!0}0ptFn+9=~c-5XTpidI3w~~l%e-68e^MdWEmm!nEhd{hE2I< zY!6I2P~s)sch+<3M^&^rSJ9_0w$hx;1PzfFs{1QC9Ls#S9W2=XtbN;! zs5W|ebDvW3)EXBbC;gk&1oK@(KKt7q@FQ<KfjQ>lL_9Ih@J!s6*N@n@DMi zH>H05R_l3cc~wF5)0-#uZWokPGD~@D(*1y^J;&#%y;n>n>E%ayj?b?!o(dy2A06k7 zS~W{m+U=FM@hLk{E`2IbjLd1LKN{4@eX;lGTy{>zACoj3tOz_bxsh=@ASiibv;0GHxPi&&6_uKa4>J$ z#KgqN$iP4k5d#AwBNNjmW@Z*vRyKBac2EQ&aP^Hq6@Z)@;N1c+K?v4q0|r2{P7qiK z6ad7%E)r@ir~|cR;}tJ>!Nmy>u(Pvm5GzD1EG&%lwA5c$KYmzxzp(J`?fm>4p!v7& z-YKvL{SYBD0pB5Ju91@w7SA{3{4Gj+u4GsK&pMWu(0^y;~F&`Bgd-q~c*NO~>dW zY)9YV(BRO>_{-^6(=R7pOiaCbzw+tR%F_GyOTdz!KP@l5o11<8diKqmH?OBBMh1E* zl)k}{@ySuT?g^*V=ZDL{D%mH;1;4JLxMrCH8UVPctPHgKQTcBmzDk3JfosW%f zb@Bb;yQz+npwkaKX!gN`%$#kscxU@wvFR3y1iqBI9hQeCc2fHK2M2-mdb>N?nwy&2 z`^I0ro}GR3_WjcP`I(oKQ*RcQmfp^c^>?;4H{u!^aD-NJXLol`-^ldBDh)m3CT3Ou z26P+XJ{$lNCp$CnJyw=Yv@5R$$%J}z9ie}Lfs>DyopyextFyBemFA*2u`QJJVNmS5}S25j%Uji1jr!^@P@DTs^L>e;gd%el@?eG(S1m+dum1 z?ZVt-Z!@Z_s31QtCp#y<6y4m}KRiA)w*8ZbboFB&K!V=5+s5rOrv3?*I$N4|KB=z!nvtR++#rwi6A@uuo4GoSf?b^a6q=~+41 zneeQ_DjcbI6sU)a3iR2P<)wFTW`Wnedowe$utv|ciGhxm=Ii3C$+^|F>AE=InA-6V z3j@`04-aw9wiVp3m6)2&SM!QIv+dy^69=z|{ISz|$F;OipTBtdrc*#{N?J;CQesT7 zw`X8{MrKk>VrkpZU{~kp!s^n?;jx#Kz4-Fn^n~b$upl3Ici%8rT1EyOo{c~e`zGh# z&%NmF=%i4{P4yUDOJ^Uj``GJcD0fjZRxa_>_Yy`RyTU%9AQv#2NrDdik#>K`b zW>q%#^ildJ=H9>mKt)gY`TZx_&jiOMoWv7Pjo`+|7q~XbYD)1)TLy;*21nm<-4-3j z+bKO3M0~YE$Huo~uhJpSGp69!y!JWci@Ha&3~t!iIk4bS& zMs`67$=wIEb<~s&sU1|*IIVwD_uOffJ#yMt?m2t;2Lyz`iW*w+MImMfwy`j=Fu#Rw zUt+vytSvX&%M*?z;ycGsk|;6e4b)>hOMJ4tqAJtGe za70T<<>Gy_Bl3rJ&R@NFMBOSn3l58kicTp-mjoM#u*?>PmCp{@)&<{URI!xl9*9eE za2Nloc%IASW5BY8lXZJm`)zpN=V9ULl@t0YUCAVLADsddyw$^P3fJiAN_US|K>LFK31M8*SMp%_W;WPsb*q zu45IOZgkb8cK+*F31WV$Y9oQ#ZuiVFC%ZGOl@#vi4$twIr_WV+ z+l0mWdxU2f#a>~-M4jI}m3EJ1rxBTN8|?}m6ZP^Yad{y|4l!}rv)1PKVYph;gyY%W zJ#i{FBYZpd8=7A=dF&q)7#tqv=i=lO=Dxp(O0Y)R$}hL2Z+wZ7bITSUHtOm58n^eH zf<1axH1p?uy6r_uE&VQE&Unqbg@J z4R_|#8+(>3cL$vgeZA-C3Df7#&5du}wSMj&9vL1O5R-{O))HRMRUQkpzZ<^uff9C= zQ}Kip>yERxZ&^Hax_eBBm7Nx2Nt!zVtM7eF!?<~yh?s=9#NK^dY3f6+-ioMb$&)Kq zj);lyD%-?)hIPrirYa9!PDnfLHpNCW`F;t?*mkD3AxO7ZeS&oVPVL>tK>ZnTlROuM2z03&D*H7~=^JS5Q{Zs^xTD+C@QTH4=ENB$G(~d8FMxYmwDab@ zgXeur`;WO~JEk^Nv^L+^6|8-=GpeJ1l9rQuo0#Mt#Y2a*bdI0U(?5Ocr0z-W<9d20 zPwAc3*VRx`5~JKUQd!gA9oigb`p`2X`npoYJ7J|GdM4%;_v{|n+1oyJaIm+teR$8t z@xFzHuJ}GN-mM4D-!L&U&_93jpw_;T0s2!8=hU$7XU!BNt|scI<;TQU)ujY_8*hp_ z&ldT1NXW_4H@_~~8^FMU??BwR8!6$h8>Rl^+O@r%Z z7Y$8KPVHtER6KEe_wiGmOtQR_8a^KCW3s_9L1)=^^43w`|j{R4x8!y+Q0VxptsV6o9r(NSRmzTO_r4)<9?n)zL|od=IU z^ffzaptwW+hT9YOgrodfe|H0=6ULUdPaa+|vvG+HIAdUP%`ZMOGA<%CE-pMexu~v* zgh!-3KBz1up&+H8b>1xuYF#`mAt5CVo(WM_20SAxD>ElAub`-~u&5w6BLx-{86Fbk zQ+??#(+?=e;%#75e#DuuGxai2p(D3-^(C|<{ zSjh9+wk{5)*3ZlzdbvjD1>bda^97hw@{0=KX?cjU5(K`zssJA0?cyKe6&xLt4A0EY z&dbX$EJ7ekN=r%*h~lE+qQc^mGC(Dz3MPCndlUdD;0{ndL>LITFR00@Kx6CCn98y$WF-=`0$EvFRFs>QnE_8rPtL{TYSA^dq(%a+v8|2Lo|jr$ z)jLpBRS^`Hl3$XSUr>guZEYoz2sms5jyyCv)>d9s4-|!IZ6mg~5}Wb(#-^r5KwzoU zP+#AG#o<6nfUdS0Xbfnew5+V6q6}G$LSgW@ZZfLAEGs($)l>`c*8}KiOdSAUR*ERd z%gf2i%_`}e=;`k2dO11P-90ooJbI5ghpIwWlp;!siwi6JXTYj_;^p`tSiw!a9O`K68|f)^ z3n?$kEv!UUV{nZvEv+3rU2VkH))w$psnLgS9uA;cKs;07}1Ut}GifHX7Heqo@5}-~X zirm&pYHMw4Yint4YHg{kB2!2ml-|Cc-oD=6p5FdmfCvyM2S5WoHbX82%!UW*LD!+{ zzy}K5fNiL2XaJ51fVJd$CE)7{3(BgI^(}xakqFuVV70ckcM@=<_TIj}9u%UyvKCd7 zmsyXiqYSm-a757Bwhn*>YCgFOfNE-JZpAfKW!835dV2bL`uZt7eFKAoef*+M22=uo$aGq3baX;0J}TicY9(KqAV~^@s`r@INAOLIOYq zS_}mCboX@i^ka+5QK*_4cw#BM@Wn_oc;5z`ww(<0(+(~=fyLTz4Q;KM{9>@*1|YVO z2Zx3SKssZ%A5s%UoxsDJ2?RW_5#&Af4QNztbv3dA@(d*C+||{nDio%+0p^daM**L& zLf2Md@c;${2zV;7mDCQpNoN=6WX+Z3z|kw?BXeSNhPs;CL7}#GGUyQcgFe^1?$4m#*Vkb{>;s69AXq}N zrlPtEG`c=2s<8}G-`@uz>h0|!cL1k`d;;_v&})DTfzVwChLxIHFq+iVqUw>T_*+?x<>*E{Fh~V( zuFB%F1`@#2+Dd3{X(l$e)Pv+sM_X=edRl67Y-~zRPY;051~?KS)R5bklnd~$Gd3M@809bSa*p#aN3VHa|G z2s+SDJGr|X*s6!p-#0imGBMoNG0;WoAMEKL1V9FWhWa6^^-#KdK*%BiNT44#gDBJh zhBeT|Dl5v15ru^%1(jvRtE-fj|&q3iUz(AXkno&*c>PMwikXk_81c+Li!4Hwx3b_P{+|}FLKQuPdGcf&j zdTgkQJp}^P<#a#j(kHugh??EA}z%(hZAUiWBEh{r6E7OH_ zb5JD;hb#c|lB_ad*=9TrxEiV!8p}$+!~j;%TwhjRoB_+kcXW3b#GzXo){P0p%_e{h za)btKV{6C2tHrgit6!<9*WORH*Wy5I1bIl{R^447aDZ?IdL-m~Ks6vhgJA%J0wJ-w zvKq{F@{04aa#PaMU?8DjR(HG@Q;#ey&rHljwL;?y9zd_IF0UvnF38HvhUE|lwH3t$ zx#eK|=q$;?5$YN+4R|mtV!B$qSAmtgPu@=C@Ly0sjM6R zy88Cr?9_|NrLU_~%@w7Xmc~XP9ZZFwc@Pf#g2qM+2y`Giug@P*)m6~^vAndTFgG8b z29Ju034s~+yO5h|E7H@-8i6M3v2|z+C|U{iw!CzZw2X_6M^Gj)L4oB&U>Zmppi6*B zKvgxE4px?x73b$>WMpLKBbp{(P$-?Gj-j_}tFJoH1wiXymQxFWqkt~J^a}FG^^jaq zUS6?2R)7mIH7x~`?7SR!N>W^ue@OI+otgbjb%^++suo;bJ*Za+#8j3dK#{Bj7+5Jp z1|?%iWnnNh9)ydE@)ATbn64HSLW>2k8~`)V^rXbZq%?R*dv9xfbyZz+|J2lIPhEOi zMNLH+q6h)zZ(ufDRto0zg++i0!S90ne82$I2e*0od0E-OS}C#dv3|k+XP=;3P_+f{ zf=Vbfl@ym2BZ>=)@^f>uQj;RVk}NVNEX12kqLrhdTL5~dU{5BS{h)J z7#|%O5grwrR#{)2p8`wBEXR`j+l%AiB#Ky(N!{WdiF*Y_j7UUX%zkt;mSYJg%M23fl1c&;1`dc0M$dagvG{!1uOIu5gZis=%Ky6!xJ~3z>tWjsL06hu+Xqzf4}u5_y&1+c(}W}Iy*Z* zd-~+5v#YDiGpEN6b}nJ5$q}KkU_}!V5)`yvIU+0^tTaP{g8|o|fWRPskc@>E^gcdd zMepV9>ER7l#a=FM9+yuBmlnbkfn6dZ0K`C0#LLUe)6LcOiG$Pma|UP5UNXD?)WyZc z-NW_iBZr6gt*mVxJh*rFj-~m{8`sTlnS)=~Os|?=zh-*v#?4!|ZdsV$FtfIIa`E&5 zt8}o22V#5!!1~zJ!`;K(4d4gaf#)vH&!0LvI6kzqwYhKi!1~_(2e!6$kL>R`TJPWS zG%F**$HgPS-`mse*<(9vD{D)0i|fWFSB%c@k&)RWEwf))OYf`!*e%dhKcsj-QR&c; z<0rI_9?{e~dhFOS@K8-nT|?{W(PPJtYo9o&1F}13jm{Zdv9fdF3+7F zJ#u>FVE@4C-n~1PmKLB9X4kKpm|VGZ(a7+;;n}n2&Yw3jzIO4#Eq#^`x`BaCmX?mL zPWPlxLbNVL_%kP(!+%36t zyC5IfZrwaS)Jy3kHiHRTdskn7HyB78t4qOt00`m8iW(egc;?;G$}-p%{P>j?Y(uhc z=H3GGf+9OW3i7}KMdd@PYKIPh)Q-{twWCLm0;Osn*FJXah^nIe{=G7Lc1uX@*&`(_ zB_X~+65>+(CErB0$Qr209aKJ`qPkyPl%JE0nVyP@YIR}u)r;ZL6j(%fSRn8=cTX=* z-_RJ)e?T(D)7{I@*WJairru4FlMfW@hK)6%g4eA-#Lo z4q<))QSsd}a{Kr0-7C9C8Xyo85fl^_7Tg9lPq}#3cfX;HT^2STmgazJ9+~aje00yFLM%F66$S6yy$On{s7lLyugkM7^S zYkAA;&CJ3ZLPBUxQ}5I#uw%A~nT>197O=O-NW;XpU0@5p*dB#L>gsB$2M-+5GqJem zr>l&P%8^z}5)wcA!{IZFSjfHOY3yaVmWu42n?%F#01PA+jI^Q$7bkot@ zKPol15CQTBB}LHaP+XLg92FWG2I5$BB0MW2H30@PM(If)dzJ*H(qQlc1fnoIB__!2 zo|%dMK~c7OWT-zZ2c#5AsvA4WTlik0-|dj$8Xn-*zIp4cnu4}dI;J7V&+@F!*++4O z1qso4=mJ}&PX2qz4db6dVt?0OMI{BgtzZGdilD^B@>X_w7mb|_SMT5 zPswfLJOoX~KRmyM$&2h!z$X50pM@((*YOUxWnkZ!Bs^|;P8ol+3iIGp?!0M7#PIYq^ zyoTx2%tJ0%?-K9DSY%BOi16OJ%pW9gy1IKORJBt&8_UyUV3}ZhDLFkg%-zK&BqS^q zGq%da$uGpuCoHRe;>g~uj5KugG#{6#Y33`ApWb3?B^YT!6p@$Qxo6kcjJO88a@9rl zK+ClyW;VeiS5yrTj7S_)WltAWo4J)*6m^u6Fe`7U@-@uByP1B=7XCx7*~qwkiUA!n zhcDI~j>ry_!fx{IrQ1aHYN)RZn`+vLx#*@d>6tEY*WdNTzAN6|hBA*w<*a<8lCmqC zd%G$;cQzCZtqn)}yuTRi+O(~eXO|$uWLNJR-}q7LwX8C&5cS0S;FXNRtfPeh;J#2&XYl_26WOm5wnc2ApC1j=sUgW8~Au6mNimY)xrk0mP1^&?)ERxl! zcC-U#8AN3m7~^q}>>M_+MUX20-oq4hh3|eQadU5%ql(hJ1bf>XgMFLS##eM) z;@S?eNOEsWuCw%L)#OeSAMjt_q`|Xt^RmG|%LCGZ5fL#-nFWQ}iD5o&&X4XG$THS@ zDl&|M)XdnM4=eK{gp!oF#KOk$WvY)eJ&ko(u))E^B_Mu4&(g)^DxU{ocav)$+ZOsJ z7lGF_LK54)j4bfTDr|qB>+Tv`itl<8oLpFo16#sng$0PJh8A)cW$5L*)h{2$FiGx~ z*4{~#&7GYjC^JQY7B?d=re4p!o_;aZ1D4UfW3Oh$S_}M6F_+xl!SLnt=hZJ@KUjD> zAIoA-T?xptAu%oeZ>Tqm9ySlHoMhq?8h7)P9h>--v{gkGavZLP z&Zvg8(2E^0eLlBL&A`IW&bo=725gRhI|8zWi-l%>sGZPE9(eI;7M#*}v#|1&h8~<+ z;Q$ejn*$7b;EW41GsEggRj58=vf{!to3yHm1nU%$IJHSk^SVa@YLZD07(`c)MC%IIf{}%HYgVS+03pKA5@1d!E@wCE(a1aM3>#Md}}$TAX|H_QMw% z1}GG=uyOEg6B6CIbH{dmp3Te*wBXDS9o_nY8b$zxhYuQ6MMZ=K`PUC1@vzgrZc2Ns zu##za&g4lzM5w#zfi0{;dO`KnyL9aW5^@mbr3LA+A-+BVktqdLb#=(xSdXhJ+u0d6 zaSHBMICNN1lKVY6#wV^z;7V9!{}L_OJX-^YP(VoL69oH(yQKi_me{pZ1oTl}aDa(x zdB(IfIlW(AW-9k?q@sfu7b$7&`UD%f$}P@_d}193VH=mga$z z9ARKn#N8FlGhN+1eF8$FV5!-~NK8|E&*0buIBNA`q`#{bY`!D%vfyCrB_q3_vNip4}Q4(GfDsa z-Jf9r`Kn*&*J3}w0m&?o3WEsbl)&dVZ2w&7pO*MjL_gHrDE9*#^>u_%B`p~*Yek64WO|9BGs-Lp?>5Fe|`Ay}&#tCfw zKsNe49B>cW?VC&gRPN7S0G_Dz`f8}}&>$J=pn*TDv+*24qXsJe1Q4`OzfOP7<%hT5 z%5T5{DYSJbfd1A3F%YDG;t0^W2Gu{rv#ul5M)m&@oNqc_SJV#@{z)65?)^vV*)SQ{ zA^4Y61QiDQ_y%BIA^)KInm^?TnfjM1ni~Y&e&cu;rB(wX^ah7twe&OlZNT}N2Yg4i zZZzocKk6OwpY?Lzu>6W>{pki&^}0HBjbB|8;`2wm*2g;FDjS~iUHb1XGy&Ijn|%ZH z9o9zW_0IJhFq)d*?!Pkvc+lTM66i7Cd&2J;xGv#$V1CDV{Z>Px7TRqAZB&CkzY)6j z7q|I+ogd&qh=4nQDrgN&$c7pkkZu4t$kR6l|6gVRzxCSRGyU;i1LS)lK!A&yDoPDR zfen}WNuA%S3z!VV5l~rEW8JWjdcc7HgOVVXfJ8Fnb5MbwaQ!VH4PbuIs$c0Z)cRfo z$k2dV1L*fo2wM50xBLrSH;_Z{|56iv+Z<3yT@`|*4(aKKeg?dEqmBOplK)WAZw-RD zssDoL7nT2qMEo0UAaolJwSn{BVD)#^zcui;2L9H--x~N^1AlAaZw>sdf&T&x{FPau z{xk`+k<$4~pZ_6!{iL~n3Bn&2`uBkS2G1W0__v<^Il7H3-R}iJnY%xxjST8Q*9pgU}QRW+_-~3u{2}D4%V5bhEU*7*(?;omzZ_xghe$9VxAo|Vy zPi}sK>eu%FAOia0?s|J6DBmjnrv6W4{A-WDbNnXxM@{_#=2!i0@cs^RqcFJrCi7=U z34RahkIMbRdcz?$T;fLnzvuD8{dYX;7r!g`N3#CPvvoGV<@^WS|0$}C0+7Jp9eepJ z7`~VJF6LK2eH0!oL-;f$1kg|Kj6+5b>`+_=}SMS+Rdz@c*wh{tp6; z3X*tU%$egtB@Cm5voV=F?Ci<5J=w<2O}6dHwmsRl-)!yd$*%KV#(Az`{aDXhPEP;7 zNW6WJ#6XR2AL`)*Da{-%zMD>^e**(xvgw;`PaCfZv>Lc;1kRtOKpe}SW|JeKA0Fz{ zTlWAOv6)AG8R~bjDzf&6k=>TgYU^Q2*2MAQZjS-Touv&i=r^;&Lh;QvX&teC9}+)! z`8mBI8^`>2iurMO;c>}z%B1fx`Je9IZQQOdr*tl-@~@TM8_}NITpd+7A&Va|1+?`9 zCti)u$Ly|Pv}|Yv&eQih8~LExX}!t>^u$dxbj7qTWmVlqN}X-hjS}&&EstiR!78Uy zBelmfU*-Z8-w~Tm{EFOq``wpKGL1N$k?VL+1;Py%uI$WOYDa$w{pFjP@`R0}0TQ4F zCdbAkU@C=mh6G{3i8KgN1K{c9+z)eGJCI;xx1vI-*%95>c36OB`O&nx+?-J(MFVj9 z(DVoosUw#K2htuf4ESSgRXR(9pSCL@o6oiCT{*{I^#MivKyNmkLkMR1b9hBlpV$~{ zhHrwP6pef`XE;C2L7r3~SRP0Iac}Snr z?xYs0_1czPF;CYT-@)DoilWnAq6nHu8oZ`;J0v=sOJ5Me394G14}xP|Cj8ZhFwZfm z5V5u2`|JAnPRV3mB@tE}>XR0Od|R(7jr*vsFkGGWBjrOYX=DGwrF=j*ugcYuz1xUL z@u3+Ed2f<)#YJu|dL-;)jzX>)z+xxaiX7~2{6HYeS!>&bjzb{4fw8!7Jy>JduI15ZUZDQ9+ye=V_g`TKK9UF<8CNnyoh#zaR}V%lX|* z%xRM=R48Rmf_s;GT(N0FnjT|3g~l8rX2_PR2+f^X?_&-eXY4P^fQzMyC}lZp2>Wn< z9E)MZa##tQVo1901ybVGWc{3*u#vYia^~UgdB%Rm{%S%Q?rTeLAf;)4(Fl2Ia_^}2 zD)$&hJaJj>2fNFn@OV18@ITLdKV{9#}192@A88D?Y|e%k4~c?p9E#UVGPKiFnHHf|`$& z%OmqVsmOVT8Q~l!q?1chfeku_X%*6O2{0JTDB9btv3s~NrI>ZMR} zW6^K#z|Ufkn&egIE)P>+x#;g3Q=dXcE#ZyK=lH=7>#J zpY*$?4oYV&6PVRz3l)_2Rx=nCg^#Z_`2fF5kJr?|4<)Nmw=~+kUJD<`JpzsD*7h7G z7JWh@ht`Z!W5P0+Httnb-3JDR%#T5Ww`>n%(|>+ZjlA!~GifzZo9jBX>t71^>xRQC z1QO-qF|wY*BGZfL=<0i-o_l`mWf(P?N}X!6Qk9GpAqW>%f*nqnO~~wmgEs4n*Ppre zzTS9)NZ$KMTQIYXhjq&~58;@Vm37gJWT^ywjrF!jjOka@n0jfjeuCVPXMh=gQSP|9 zp}jhOq~83{V4oLd*m!3-qV)5}U1|p|O%(60>ZeIrJ7Z>&OM3kq91%dYva7n6&CLnx zNkw1#1<-L&tuqh>o3{gdr32{)ndIXvqgRk|Q=Qs}`r%^fB>#}HX^y0X{BzohmRy{^ zsg#qmijy@a-Q19n<)|VWHbm(GxbV8$UD-dtO76IW%6uPS57S7E?m1(T}|U? zS3iz=06wKjA~NkWdIFi~15tEpICJuTya3RXJjU~wE-B8Ih;3h6Sy6T2_|Pe}z*}yq zi_3a#M#GCny^%-ZBRYF_jX*^rExdm@`f|FZ4ErI5G`#@T8-6s9!l`deK zJ=lnAoz6uk`RTWiLwNlAomdG-40%i44YhZR@4;6@#jHHSe zn}v~oS+5*l0fG0nCr@8Ej8Jd^GtnbV~?M?5zZ; zwxy%ZUoCw~q&eA#3(aa7D29Y=Q2_s?e$IFF49=+PIR{J1`fb0>0{Z?v-HJgD8$1#P59s|Q*BAwK3X#A z39+*xeHL}uj1~|G?|Hvi&rE)bUsfz9z?PQ5H`WPkHGFC30f?n zEVv*}5trz+Az@Z=^q8`A`l* zkqTr+U$nv4Y@|lceK)=jW2jcERa<>kQZU%LT#P}VME&PZhO)gd(ibfHTWm~9qbQq7iM)ZrqzWe?1N588tuhBa zqLrR8aThmQttYp}r9^(vR-_KH_0?<}VJj=8iX8gG_y_Dla~l)=WB$k0L@N{6Cln$Z z!_V2cCbzsq*`&QKn(uXONBP1eBJ5Z^51obP`(lZa`U|ml$KK8A1%kq^bdhvZhlgj4 zSoAVfwNQ2mqxWA)3ylb)oc80LyZPz23e|DYvG9TqX5#{gd#Qta1H_tnEePJuR;Hy<)OA zNrlc0QsonsU0(5>usVZlk6)t-;jVvakucFWxGA;-uWO@?OQpSs%YsFTxvp(aZW5V3 zM=InLp%*YA7@?Yn?XYiO&?kif#?J&(aO7=$4=bihXjn=FA5#>u$f&`|QN7juF480p z#h8j?CIW&D5>8Wvcf*Q(P0w&PlNDWecoD2fk9;mZ0(4xZl%cvvt$O&&X{Qdb_T93|(X+;lHN^+6 zS}z4G`Y%6n+Tcj<5}lbk6`>?7@J>dqlJzhhXt3OEZnEz>wdZ-Lmt>*GZDsV0^nAQl zJT(h_fsY*L!gJ-J#>L;wJX(yoJ&={%{7wOe$~)~v?zX(nyH<0dtHkxxJSg6YUg%TY z^-+|uN%{b{XbIJ&r`MjRES!z2p6{&1v{wx`$W!T}P)oYj=5D<@bmF?WQ%d+}Mkea4 zq+Ay2GAMb=It5u#6CuM9m#twT3krS}T+Aeh;)+}^Fsa>fB+s(9L63N2l8&NYCxEkWRGGm=Wd2piNv3 z+nrVg+F61P3M5j=6Jw2!Ljz&NW?`M zWcf(|appQa`{B){4XzUI8e%VQ&v$fi?TT_EphLHQirhE%IHxFL=NM8uH&jSs@nqMd z`Z8w*4L7~G7j2ji5X6Jy3Jkj!mc9{(Oi~G!^uByo#be<2Pbn0Lkso>dV15c1FJd=~Ax}4cC(_Yk42fKx3 z9W1bj(kOD6C8}ofvl#8Fg#tbvLj{_7k|>AeD6O4MH1lFy>5}Au z8#{7*l|ZVUs@TTpaE^`|lyoYIj&A?#l@xk?%_UVMDk!Z@wQ+%YgaJJQOiT5Xj|Xkj z8pgenOCe;^vAT$nhTG^vFS+e4^n zirF>baM}Qe61)Y<;TqYFz2?ft{bDA?C$Cf5B@S&twLyu@J8=}2XFQ+ zw`a%dR-3V9CX2@qDhetL(`|T$>8`*As<_U37FjwSF;B(Kz>qW;C*$~;>a28r5n)>y z(I~7Md)Tq{DybPcj96JZAASR;^CS%jGU!x`Zu=#@QUXE`Q$W9ddBs-6R@{AMIuXye z7j~|mT7s=*gH-7mSNZwAF!AQa%(AffRScV_u4hz{2sRqO3|x+L92{D)E_uRBE@|G2 zi*MsSurIEUdDzPu%e8Mu*3hfWcHxngqD>e{ha`gQyB|4rw!69BReBfB4_W=gE6|5a zYY8@j69@~NjbIxM&f_ht&OT1^=DO$mh=!`5ZNo5AN^bT@ZrUh@;G4bgP>V&yi@;qP z@jeKkM1zn=geqj_;~bk29$GI=;)!KvivUkRu)nm(Fak>IovUvHEU|XOj!p)P{2{(_ zVEvEs)tbHXPJ+%?)KuGKIlBOXD!pgbIJb;B+>#N+!o%N9bGkXu$#i#D#?p|+ln}oD z`_(B9V=(5MyRzD1&v>_Mk?2ld!z=;=oTCyJj{OdTt19(&Z%d(|*sEs+5r4XBedyv~ z3#TpOfN=(`F0fg4p$joG!EqHfpvMR8DNy$@urNG`Qr=Xu>GsZK{rt_Fyq&t2H@R)# zZmpWr2pqTQ&-E5S`FfX#sZw+k-D^HCeBd1x6B5eT$nVhxsri*6fp;QHa7gQ{tGVy$ zUzq1`volh``sD-UYpo@?so-0O@qI#Rc5F48oZm6ei~?L*5L291xWOj(;6h|gEix4` z1SyfkzPr8z4aWIJFzACWL9Yr!R>o(Q;^V8{vK_cA%kbB(4NFv{fzWVLVzELpjZEU! z*WIuT4&Y<3NA)lcFKXmCJ>b)0Hf||PIdEVsO*yJMf-&P*%aBU6L5;Q0$PR|Ejs%BW z)djLQRX->Zusee!qQM#iu%RaGm*$V}S2@QS*YBM7wre5@QkpMpCv;Wlu0<=@^tz6e zE|up?N!3Lvw6Wj)tX1eAT^P=IyqL!eqp`(UH0!LWBWtMkIuk!uOs~Na;fqV;VJV`x zT4!ou*?{IG4cL?xf{vh{?Ci=PD)Mla3z+Y{Don%8u$0NlU3X#%y=o_*71)1DMfRFh zJ#J$4!`tMs`X-3MScT-L(><7Uc{(puNqHz>oZ?v8Ftpi#X?M}a9_j&1y7J|AP$0i z<;|T`2>PuQFAi*l`IHx7Rnd~(kO~da3DTzdJen9#j1Z!ycR&Xn$$SE*8-1hctJzi- zs2%7vN9H=IdzF?NO?yk%~7fWLb-@u6vY z_YgycN9L{?FZaCIE0wo>J849+tG>vImrewXj*subEeW_&WQ~O-P#bi}*+&o%Om?rG ztQrjIv}w2qBxo zmo>%>Pxpu3z>$IhhRO|-%{_(A8_&zNl&fnJ3PiYP=)<(M;379gPc0AaJ51&FR`Aii zL=$x0PnCYyM#3I)q3^1%^CeaKajt52Ue(Hj&8Fu%B@&!q)!ZaR7jHzBcj|XYuv#4t zAM7xkA`3LF1x^V}ti!+B_4x-isg8upNI2vG> zXlQwOF0oUbJXIWIe%4==k5`=IXinXfF5s0hi<6;HMq#vRKR%4|u!WFMdKIAR!LzmD zZ)(G1Kyxw#B}1hrpxj{Ak&t2MPe~2XJWi1aV9oJkD`Z}tr)zNZJzssmhLuf?X}@v0 zA@?%EErcC$>=d4;5eBk4BflO$_MXoe*HVn1i(b{vfH_@#$q>UKx+$7#Wd?8$L8j=& zgk6WgRR*$_uB#<-QrcK=oDW3`95=!re{S~fD_E>^*?tR!)cLjf^Z4*2c$ zn-8Nh#Sy{YId$_|auwIy^3s>;@Vbcnr#bzOZLv0_C5^z^I03UHE3VavenV-xV4juK z`9f@Lh9W)Tql2In>%+t3Y8i(G>E!PPsr?fRgVn$alk`)KR~gk8ZpoWC+__ie4ah|+ z*NcM*#+t~bx3GpNMa03oY~$S%f}%lC;N`hd2VUgO!49{)(2HjnjIX&yWqu|z8X??v zL<$F0<(QF6pAByigxNnj#J%r zQ}$NmRI+;zMH8=`!{^??~mXF1@o2dNs7Bhe_*PFD#T0sT%8v>8l{WdGd&wzjZ zY~y;aq*gv2R^gGJy$dt972ig1Xu{&$ivcuwD8#`&V{cZH6^VxJRzge(3o`{KV2tvI z+`xKRyaPcIwMFoMJ*G~m>!mC*r)R!`bo_iX4qLRSnc5Dt8wjR-b^RByM9gAxA}YB= z!}TTiWUK|fyN}SniFdAL^XxTGy5Emx_742fnVQw(B=DpU|v?QM>`%s1IMF@IVQQk9&T@hJ3qo_0g3Gey2>`q zSRdE+5)1LfcSknZHj4_^hMs=3zfPtak8!|Nc(HKz(%k^#A^U{1P`qYlBEhgE9fExP zDMd)R*uuN=Q1WZWt=e~I8(#k=t)QS^lgJV=yl_1Wg@qt~k0X3fV+#mQk68>Cxg{KC ziwo%nC}s=ExygI!>+;`lYz70=#%R@7jo3R_g1_x;)uh+#b2=qXQg4nz)k==(lIYhIt zh_{rY;R+OvA-WEJ&``tDe7pp~a=t5ht&ZnCpgdB?mL>)ULqN)HuocUl%O?Vg4Gei4 z)p2XZX_Q;+-Gp!$4Y+1z@$yfMQ3MfV;$QiRagl4~I!dBCh>}bVif(z;-}JY;`)hA0 zqTaUUNrMj2tyE}gNuFb}c5np0>Nn83kR{8wiLi^UqhyGkZ-rU6oK)xIuhJ@l zW_;+GPgN1{=p1#y3-FJVPGI7*Cjd@rH#=&`3FyzRATzb{w8zOqeR=#e5(tVt3wAD} zI(B(=H?Et{Iv-$;3E4rG%DyF@}6eeO-b~ z98uL=v6)CcR*lH_L&;zqxS5wuGvuD|l760*8?#|nFwuFds1OFGwJCCj zQD<#Jg$-dsvA917Zj6;^pD&0@LK|oFD3jcfQ_TWWXL-~Z^pHk9+ntYa8jJh&yfO!S z=m^Eb^+#+BGWcI5w$tn@I!3Nj;J;_cdR#U-3cv*m2eNWUMjx3Al=TejL0gR{2ZvUK z%mGgFc4-V}?etTw0Je|S^vD;YB`fTR(`sa0bhPU)fQ1`y#1CNa~`h_B~}lw z1K3EZ(36X6_Mk9U`K=ro$e)vvhh*Q5=)9yoHRwRm;ZXTB9sC%D+O=g3@B7lW7j7?N zak?q@vFq8nNTnq=8Tvw{czkYSQ?j5Nd2vG-6P*qja`wg{0C?8#5OgpE6VDu=z(|20 z7F~NXye@ZLt!%DfR5mG`XF#gBBe-cujQ#L2rlK3r#1zF(~sfc?HZDuGNkn$3Wiq^LN3-R8TG^p`>tZEG`%;%x+MN>Bd&JroaW? zfpgYzu*PGC*N0J8(Ns0UMH1Un3*)}G?S>>tZ#9@C!S;V+(;Yszz5fb?TEvZdh<@oi zvYKx&;h72N$ol9KLub0Zt-><0Hs{A*=Vp2x!g5nx`g(xXKjGiE_T0*gu z;?Kw=78zN_mslRJRM@Ak$Ja`uf42Q7LgO0xjh}bTop`^{ltBezqNujszpFmVPWEPQ z$^tI{`@81GTIegAk;?P>MxS@DPZ4TuM~zs>4w2Wf>cjie2#$H#1QHYq?unZ%Yc-|? ztHn!)Cx_M?6_e7~F~^ap+WlQbQ7Tf(GYc&lMN(p&{z?recbd}`+8pzoJ;ftQP;`u4 zjWgp5f(-@lDN_ljrKr1GZrq9?=IUsBdvh5Km<2*rFTI5F?9ZE13klsjaT`kuGh>F0^2ScF zqvr+G4)cKww1X0j^_j|rU-spRXir#epHBTS?pzb3;R=%WW1so*YrAt9O+>^qv z%uSy~#xf}ne4}b|i=(xCyDclVHm;?tPhVfv@STP}XH|VIW3)NRX8_S6XH~Z2oOv## ztCEEhcNMJ=B8P(WNi4xfV4#L*xj>{(9OIY55^cA!Rq|n0BJq=d)5**0Ss(17Hk|=E za+7&B1ykTeH<$aJvioNEcQ5J0+}a7%RO+D7=B|eH(=u#fqF0=*}sVaS5@pwAi zH*rN!pVq6{JU;k%CmR^)KsnYBNIoM-`z%YjqQKu&jZ97()8Vnf%x6dS2S9Tal|Kz1 zeq@QbC@_Dd|?;EjXA1b~K(^R<7NyMsb2B1Vb#D&ZIR}Kcon2`XpOSuDmGnLK&t?M;6 zJ~UF59->`KeZUBz`7jv-gYYrPaPqY_@j={TWkxaU-mnUUf;a+D7JQ+IC5*Z4G;UsB zO=Nk+P9VrmE{?)>I(HDdckGAlTQZN8xigsMe?d7z5;n3~5(c1tKxX&li9f2#3gc@$ zD{n%^38ojdXRR}s9j&^G*gC+;VAYj`1ZV`dS-~FVg;%{SoG&w|SYJi>(WZv6vpV+U z@n7@aHrdL3W=CxtCuq<62q~1Y%f;i5x;&)F8rZ2uMhGrzOW3^lKRv;)xqk|e&80o1 zxSGOcD8I1Ee1sGRjesOB3^*TaGvz_r3oszCPhN*UwMebER;EtfgDaS;dq4|r3#Urdysiddeyr)7m zkwY6iHC}o~7j9TkjLD8yTpZcL)cM229#n~w;rCN*Z7&^^*AdZx_9r>sTSU>6F=v68 z5ei#Al}L`N&v`JfxaEpa13tzMD~$8%Z{+&EaGB7wmV zRPdSwwUK%T-YqU-k#_c9$qK~H2E=Vs*5u^1+J1Cz2{IjIK$PqKaZ@Y}zQ=3l>&2ZB zT=l%lU4)&$EyhjWi&iUM7>VHz2aqW^==^IZz(7o!&AM?Y&JNWo0LPFDu7=4e&cTAE zEgMo%n`%3r*{z%TwhGl02X6s32mjT6L4Q*X7A6Cqfl^frE0&~oS2SlnV80`4oAff= zoL^&P|C20=03X=k-!D2UF?hctTpsKjV)?ECheL*KH_OuU7OYX;owm!TkBW_LNLAU! ziDx-O5p?Ci8fZyF@&62g|7UonckREBsK@+A5DD12JpmJ|#ATvV*7+(6UAsShU>Gy$(=r46TZcL=8i+JKf@a#_#6M;x)QP6+jm zvJ~XlKz3PeM>jtoLrH@F?Cw?KT067#(K{WnW^3yIqfD0~K!rlb{T{HLgGE{R-(G$i zrNrxpu=FH+g(G1J9zB5vMRIpY+ z+RVxy|1YPuYLsKNDpHWKSVLY>S1peveKIh&vwyBz=TY4u>*}SZ?4xxl;E?bkeS|+1 zkMi`%-U+5;t}gzJcG*;!X&fw+{*yR^yM?&1&8X*0 z;)?E?|Iaav5tZck-QT*I)9Y3q_b3mms4?mHy#t(33M`?h-G3?BPt_x(KBdCe9HuMW z<_tj=tB7xH(q*f2%^8ghRDGl$A1+liql9I+HWetf!Xoo z7BJIYR$)!^lfAov=y}xOaZ~;(L~5iZao%u7zE3(Dm_<#=ZJ0J^+p-8m`Uo7g;Mh)6 z#)9>yc(EvgL$sGGJ>}|8(j}nYl{@D9_E#z4blEP{Dto$thj*Qi9m#09rsNS1vwf;g z9E~XcSX=?pby#P!H0scBmvB&>0^PN|Yrsng=8Iu@hK4^93l&OgKhyIv=-|(7E0$ZH z?>rW)u=B=Aq;G%!eXx!a7_NDKV$^PPWTtsf9_EK`QO-$nwEw{$u+8UB9ymlRT#1uC zGSLHz&ZjzhOnxl~d8Uy4CpbwmaVBe?a)$S3aTRXc(;VQ4zVD9I_PBeUM1#eNun%6|)zG(JUtm8F>Z8Aus+z z`sT@5+Cv?Fvx!z2buYvn;{hrik@Y!ytp9xX1QjW^Vd_yf#iL6x%U;fBR4k{E#JbxI zD*5M<1rj~ZQi)7?d-tU`>dJ8-{6MA_(M{s(l0l>e1_)Nct4I&Ieq!&3PhU!%b0V01Tg8IYSQvN*dj_S;y z@*h9K_8zG3$7`l}WrBM21%az6&2Pxl|FoIxadv=W`-EaWWUa)7E7O;gv_Sa#+~3?7r-Fh zWB7jlQ=79c#)R!i>my>NZ`pX_)LRK)FTJX1iIaFqb19qs0`vt&D<9DAu0pgNj=Qb! z-i1>g0})L$!2U>5KMYEO?5LesMs59Y%E$-MreJp=!v1mQt)$ReE1-U%Oq&3Iyw!$n zRJQ0w9Ef~uU0E%P#;Ig}jAdXhF%P_5FEwE6Nc?HVOk5)1)tJd_ze%*702Vij#y zhsVwT0%AjHSx2_@qsemdlK961i5)0)EAYdW7#aa0hy zk}K7Tn)hIidTu>L>09TxO#uSYSW7#&gg!fwnG4t$sA#j-vjUr7I}(B`;hsQ5%1mfc z%dz*4ekV=9?P8YUGS{}`m$3I-uD>Ur#8qdsXAG34&i=gqtuODgbljM`oMAhIo2R&{qmFXfc8oU@in_i0cE0YpxH5=doywtFSVrqw5!0(9@!e6WgX^W-KC2 zj)ctd{%Hw+rx2>#wcdE#iAF;1IwiL$ovkFRy;*efx*+}qEY98%j!9U+HHp#CYx-slv=Vt> z2LaQ5?#H-v?u)2w`90T?b=RJ~d|GW$(H}>+>D-dKH7LN-f9K)=DuH6k7&tEa&}H^U z_iB}HA_8$V&ALrRYW=-%KS=gkv!fVbNMu)vQC2aBq_IYs3Bs*dGqxWt`Fl5!+@@p? zG=a7hUG*h}O{S+Frq!O@FD8p%h;5Pe!Tsf+FE6kBA^h6SAAjI|r8v!oakg7yFYLTG zXm~yDL~fmMkqA$I1wrB~)bNJeDxCB@HntAfGV+|Py=-QT^cIgDI4eT_eJS_mExV@) z%Am;puZM}Kq6fHl~@SFYz)h#z+21}4u6A0z+HD=P|-t@3Wr%AuJwBIluv zXM<1JD0`TjG%Cncq3ZHOm{`a-87gqXC4GHf^|2n+R4Ob62A}UND|txQGUY#ddAMic zX(X##kHCpQ1MjqgYc=CbtUC)IwHSYzyE!-fmD0GaCB9~#BnMbln+B?emQG1x4K9Rw zwfgXN>t?p8D8HUGFTzhls(#!b!AGNwP(&EC>B1x>=V~(oqVlI-oz3#GfA3WW?VJxs zKG|k#3sa+{RR7WGX-ax*Us3To4XP*ZIe}S$^vlGxmG5 z0)5pA>kGT+P;Kkz>Cz!Vv4y{neAcYhE-uM+TjF*wKPqT=c)P^dS#}nkp|f3cJ_%`j zxoU4Zh7hm}p0dvl>HY{1ON7R^o8Un;KF#&cV4B9{P%7jTDb_xk-la;v_A(s<_43DCSrl<9kUxTei`WVv4%RvHZEvdi>(y00CU zy?Ui?e<-%Q0fZc~G0_$wxSKM}mZgahKsoydD0B~BDm&H5%lvFHtq$hg`^k~8x(^#w zpUaZhI=DqY`=~h@yR(cQQ@Mwp{aJ~Rf1Tj`2JF()?v%emVErbZH6?^fjx6C8`p_^l zlbwryRVkzBw2ou^+eLWKoin&#?B zKO4f5L$u8#(nZueQVCGmf^{78FhXEwqUjg z0UvBF=t>M3@+QjqK==MgJF}M_Xtr{z=EM{fB8Zf%GKfqY_XJ8aMs`BO4?2fFD^V}g zEM#et$A2XFFPUJ5Wy*i3hC%yDv(K5$tI`#GSjJnhIC!olgWgq&ST;^66lYu93@?;& zmO~Gd@z88>PR38D4OtXEI=iS8#XxR?)Y5bI)3->=t4bDgdC>{R2{AEcA zKdB1sfSZWWOEX3sMA8)f0jxJ|Mo}k_rJvLbJNlt?)b{RMjv~C>ARHuo_zf3XN`eM9X12gv1=Qis(j)n$`Tr zGC**xQcZ|?YV~8;#if0#z<^zSGrO=b^byLYB>R_2pt{c7ci4t3Ynv^y$WR$I0-C(| zTYii^S0U$s8btpt#FyjrmeYxPZhl|J4%obrn#%%ul`j6po&R?@zxxTI%tw2QzGqM0 z+1v8bBJtVq#{^T~1VleP{D-;;z526Uh)V8DY3`)9&#l~Tq~(xpCw%|yp!Ww-Kp;im zbkYyQHpK^Cl(~sc(tW=Ayji;MiP>~?^1b1x!m=EnPKf!|%;z8>z*1&W@PwDip$&EN&dH2nwbX4QMF3>o&@=Ouq;%fOhC41Hs_ z;Vzqqtq0~5j*IN=S9)s+O!k8F;d_`BN{}+iXAZ}*mnqf1=1)XSD ztw1fj9xCbs9Vj-AgQl}nLO8HIJ2c%-2%Y}n?fIHhavaV|a(9y$BA*vz(aePRF&s1_ z4ZhD~8<$uK6S}NuVcpRmaJObd^zr-FYm`EyMO6^ja95R@3A27W(r<09gWvuHd$N9& zuwkI=>V~Dnmk&q6DEK?1H8K9&0o-W*LSlC)2Y13ncUqH|=>M2zl*TfXd7XY0&$kZf zLGBd|TsT4~@PlAHIAcHhCDO69Ljlvo9$x$q!J# zAB}|v^~Xv^EMPReHmi4*p4q*Zc$`>q*ZyYMhZlS+>Z(%f}QA0U}7_9z5*OGY#1sNIPq;9d^{GKM=gf?CN>jT&3p8_mqBW!B;^-1ZL#Ua7rNdt{2FwEbA@QJA_ z77rvR>>z$3Vb{8FTIrQF7Ej0{quYx099OibI`IBmSoZ=ieSz0NH2pUu zQ8k2#))M;IzfDHe& z>VB^=6@Bw!go$$$yeBDIG6Shjkuyqs5#brrr2K;<_8~c zc|8f+8rKw{L~=Ust=r#uVqIn0>EhD=P+G{E1$#5gJ=dMtyo(XlLS|m-zIc+*>ej#K?lnixd4O$CyXxtd zs!w0I_Mzc8qWdott?4f#w2r=)_md18I6O_e<&K1zoE=!abVuA9GG!bQ&4sb>f0o3R z!UeFa(@?cRN@EpP9&3pYej}|5@n`>t$?Pg!P=GvZj>#3=K?U|#(j2IK(ozVY!l*-Z zD5>`Q9?a##us_>0Wj3*_01~?%Yn8{%x@m35*v?B^r*BU_&s=jM$lQjYR%l5I7*6kk zxv4|K(G;~4uXCL<00KGAFB|xzf`=uM(;uD#bGxNUZ5iv=gS#m{JfRKy7vqCEZEKh3Bxe^_e3E5N8;Pqcit?2JX5pj8DJ>)F>MHz=nHRIdmj zK`hQi8(2c?CMa@sjB@e7kTO`iDoJQFQSnyB{v*~nTKNw~XS3iPMWYlGjXJP`rf1*< zs*}OzIR-2D^xwrP$B)6LyxCaU4TpaCsBFcDLH(IE*&#ekXxKUBGm~#lSsr5z(nKPL z-)ujc^na6)-8WcQma>7sXtRv5b9{&p0=E70wXHoy69G=T7^%jrviCIpgectXm><#L zmyTV*r#PlIgsKZ{rI;w45+DPf6vmVQmR)nkA!-i&8fR}59N^D&#A)uSk^Lj_dHl%i zRhXP1ZyqLiJCG1xm1fuuJ%GtW`lF1g8KSV0l;BHn-88yDK5R3Z1voJvcp5CxCyS06 zUi)uuUYX_R6Qqizar57x5TV9djCLO9H$kJ$x^>Ilk$((laPrO??#$BfyF@}GvVS@k z!m#jv(J=%?>P!oXVTvtLeci9xPvW+Go5Ov=Z(?e{^YufA1nGQH0B~WVaGC&`gA6P0eFqF(+b7hi58X}`YA2v+$Lo(YGl}5396HyQji}|;* zU^aUh-|rx#Y-Ky`24HLHUDzxXHZRXn)crUAbIUh%Cgga1L(_D(!3|!Se)6o?JNK6i z@>>(??%7yVwgC(g_H<|0ir5f->-~4NXjx6D#W-i>-4CFUmq^!&X-dt)^KM^m)zOTK`ZiSxE+ddNOGfMYxaAKLb|kmnm5O0+~?I`8WyT zMqhgbj|%=xYT8<_(!?H_(I+?6f2Sn2Bs6qW z30u_mGgITP`M7`I9+Kfsi$8E;4|hHjmu|P4Ivul8M3;Et#(%H9#LNy0Nl2Nez=g+* zo9)3kqQrgHPSAjIG8I08ybV?RWRfU@fdOyVG;v)TaXbO;zipmXNfg1_ufjzcFym(>e_y8O4rBb!Utl>+O2 z!JYrAl8X4hcD@6ksbyD56O3B@lY=y@VQS zNJ6iHKp^y9lqz6BY;QK|J$jDk{`cPh{rBDX-dUvW*?Z4?vu4fATHgwJHq!dCXV;C+ z1!|hjcMsass}=>>@gq08Yo6XsyfVkgo(<0vk>4DQYmwR-WAAEnWM~;4+qg@p0exLY`hp5b}kwn6|=P% zv4pcY2)S#*log0(M@p_TuG~D0_nc&VpmVnR%uV@7adou$Go?A&t(Phy33JLBw9QC= z^yi2~i}UB?v>d&aMolQG45wzopAIxKzYFM|SAXOGdSM(XGmkL~lxeysKk!5fe&F$y zlN(9lr|;d_)kkz!^}}9^CG)*y5h}B=qt!mf@TO!d1<$?Jsn+WUJ!JWJ+44v^eSRf; z|Go`dP;^5=|6A`Dr#ZJx!&6li^7hkwhpe+6KM3Eq+HQ z=?Y0+K$X?m`xW~H47oJ<&v7}K5;V0OKN%mElM{LO)_lp1Uj1_UBkc;B*9Xnnb}`D7 z&7QE1EVp6kbEqFE?Ngd=zE>I}Ob&lNe`Z8WHtzN`{+!Ws?YvLb*L>Ai>@AyKVwx$! z;|bW|h5{=2bM@-1JNZW>BWX^GC|)3YgU-P#vt(YNov;e`-tX-iUliLJ`?$C0@w-s& z{L0BUf#;4*&v&31-f4}WG%nU-mB=e57aFXQoKCM~O57vr`r+N_yXm|0zVI-X3Y=n> zGk2U}YdxP~YB@(eeYQ!RKACgTnIYqDuG>rt7lNHT?&@LG>nX;Ly9dXWSzd4M&Oz=r zX_iu~rnZyUX53OX!Ntu`D!rn4>am(VAY9?cFfcUH)APjtj>1Q?!!Jxy_pjeAjE-TC zX*+9!Jcd7@_6Y{Bg*8>~fa%?SDtdWD;;ho*q_?b1!GiI$Kvdy;?lZ$?=fTWtT=#>@ zCGQHBh$g00Y^^xUP?M;&Kf^U7ha|s_3)m~Tq$wEFR2NV6S?J!v(!;QzFk9Bso7W@y zkhsweZfn&rxRa8eEm`J3q3+D#0hf{1AxFm})VK9oC3@~YG)zs{$4_4^Q`l-Vh)JLo z+wG_GV%AC{KQl_Zg5l8_0e{8ieI&(HyGbg!A8^s2qfg78tNb9$(NGOPts9S#dPs+Io~1DAI)4azvaY3lcX1ksak6}e!V|*M01xR`)wsUx>+Ij5s8mC zd<#yyoG3o&qOilz?Y*gu^|gfB{>$2IuoZ4cv#9AK&f-lI7Y}_p*CpQm=C;x+A0aX2 z*8^Tlc@+V)<_6q3JFmd3n1dY5%5VluZSME2>Nr>rt=O(H&&#M;92_6IX=#7Y-l<7E z-g70Z?5WJ#2WJvuPnvL~obPMOaUd6OZtXVXk$in}i;Gl&KD8D>G4mtL29#3)vneVST0l`+5A_R+OFMB5+)P<3Db(dj z>bQpf;d7e2ly9GoA8J>z(%`5RI_RD(+C}A`Dt%(fUI}*BhjHYN!Zp^HU&x|w%FTvE zpOus>64`I;X2xc7>`|*6l{>=!JcD=dP;^CsE8(3^25-vTjV~W!cb&#hKOW8YY_#N_ zCBMOfY7m^P3GB2!bLAAy>jC4nCXSO-bG1`!VP*7?8^a63NNn27aF6oK_3ygJ5SB2~{ zTy`-EWl^$KRaMLF64QKZ>{Mw^?;MkyzJ5`|zC*6t+E94^0c3OCA&pteV7RfjbX4jL zRsEi+rH5sA(?!P{rg}#2i6G7$O$=bQdM&A=-EYX{gHW6B5$K^<3H$IWRr&MY7q@O& ze7;F<<~-W|oRlsbNn6x5%s1J2ADOIc#^1JL+9|XbbrkWTZ)W{TYBpSJGY-Z^&1U-E zq1nr7*XFVA17oRn7wm%`@oni1C`3p;kkWYeSWg*qE1Oop=2$Dc0urmX57EbMk;2P* z^D=ds*o}$y=M9NulG!(m+nTN5X4f}&?tU>i%F3#{NvrwpjzeGyBKyVRMB)17E;W-} zY)p0ZX*`L!>N$ZE(pc-g%suDRl0C{dwz%0T)aQ0`E75!&^R^M=R%c8XapZ@;{8V>V z;pQ0UisHTZ?^SXGDJ`F?-p@S#;-ZPA!J$uaaD`$ftpBO>o@v%ffez>Bqnl1wWk`H; z6RD41b?^=mm^?nL9$jw{`qH~PE)Dj9uWr`;inq+J<5tH8cQ=J!?v&uA=bZ~(?pk|X zyRqw?FOFy60U1}dh}XUol;_rRG>p|d<%r}s@0qFCYJ{{4{| zUqDXy!vm_A^wNz7Wej%Fk=$*|!XaW5#;Z>sIJJK9@v`A@N$0y+L;J8-p|m69>@3aj zVx3Us^91q+Ivm9g>$;(Px@2OaPX<_M+cEh9lN2s& z&>meK_D3Hmy!7AjmD2Oc$_zx{>-xzbXfcKuwdoVsi8m}zxo)-&h3aQMJ$)}8&-oN4 z7vjQL%@{3Md-$yxd5Nj&<=zhF3z2dpM>cipPS+Y!uH7Ko2Ep!n@l4J&hQBz&O@Qr` zyk$o8X`c=5wIb8ix8p1bKF(SgSn~2=)7kO54(-+Zu{qWfS)RhqhIFTCJM^p1$Z{l5 zMl6}WVnE}YX>+?T!I4SC)Sab|mD?X!CD0|wHu(DR-s)ge=`_Z%x!elmJyepT_Zgud z$ezlO3+L9o>95Ot5*547J}Yd0>dDRnus1TT3A0r`D5IR_8$$Fd(|70QPK=f_q>1dZ z;26JH5ZU~|lAT{3W_`fk*Zi90^*Zfc$084WGCc7ZwMcq*xa$h~n&uN$4JCKWZ0!-a zK3#!;jcMb!VOLe(JDbNM#v`!O11-w|KG&#=)O~8l#w9k4l8U7j`3R!Ur4DG zdSs}QwR^^!r@_lLS|PcnL$=GN~Am;V~bLwiXJRXa2i(cwgS+V(shdwCPbf?cNjC{8mO| zL3)3-Fk7DX8Op|e<2e_Er!L%(&3HZ*GnvmTmsGllVt1nWqHM2Oo_4hC>G@8w9R@v= zA+Ht&QOE5amIW5?kBRPoSCoHwhI4x3q-fxy(F&@!rPM zAh|IlZ!K$?CUTkn>9cq9wS)RmIz7h=8k)TLxVY~>e@pC|-^0{0ll=^J|M0`?(;U6r zE%1{&#NhekWeJV)-r*yorOytWoZTToN$+XG2m8F|A29H_p=~Lc% z8*e9N^!`g+Zk=d{oJ)och&83QSiVGsTL|7Aszkyxc7c;a{{$V9 z(wjM=>uDDZXR)q%oVYUB9Y4dQx#>Z+Yep>@#gZdlht(5gC$sd`k7X@nr5Aql;l%JB zigD}Sr*>7DXS}nNVTJ3RN|fbdvy6{9dp5Tmld0%9 zdaih@^O4e;;bOWjk9+10$cdmw3EGBdTr@5&ALr2W_fkd z)Z}-iBdsWOogPykH_X6PRR~>jV39Bhw>Kpy==+#GNJJ9C|j(f&5nz^L%0^N6>DR`Y>$9u_gt-V@ZSy^6MT3lRMSa|tWUi={2 zCE(QJ;^NZM^76{+>Z@04YisN4P-kBMTHXM8`}Xa-cbl8<-*0Vw`1tYDr_Z0ieA)4{ zeEIU_^XE^WK7RPH^?q~n-P`rmr5CeP<0FH_zFvHH*H`K8#^ZZ>dwU5$`XK4=?@OioSD%+Affc(Dx<5&##14~`d?w&6lxK{sEmLIS{Vyneg+{=-KI5QG2# z_y{0uWBd;B%jb_T1eMic3n%E2=6h%8K%{(vsq1 zV`5@rC1uEpDipe|v85e{2cQNZ85|lJo0y)RhcpA}Xnt;X zW*W%s{L7`)_1C}{UM;_zo1UDUo?Bdd_i+a)DJjVgpoguGUr5O)chk_)((I-rBl+-l zZDna;er9|SZ>J+8c1}U}zKeH2pr4ns-JP2^Zd*Qb@$mNb^A8Aw!6Rbglafj!n+Y0ig3UlVd=Y zEo59%OIy>6iJGy!Y z$EN3B%+E}W4i5qWqc{pFY<_lXY-nKH>;?z7^*BB?`*L}0V|{ss*j8IsTw2pQxcG^J znwEx&^zFjr$k0GfV^PF|GcJrJ_F7jh9^F$pG>;nQaBF8ah-&%B$bC-!qPmWex$QG| zZ~q`zP=LQbEIckXE3dGmysEmova$+Q*VNYD+T7IC(t+_9@2N0oPFHxUgX+GeOM!~YMzpT?a<+4++r6r^^EU0dWS@W!TkM$Bjc0P zvJhnzNJMsKPEjSg4pUPBY_A;E(9+h{Twhy-EJ5Vw? zO3x`MDn(XSR{(xMfxnj{(qmvA4)<=E+qn3^;Gtn*;Su4Xp%Jl3Y3ZrS$?3VpWhIEb z+?nco)rZB|#?HB?B!z{<7uU7aW14!0 ziERyCFG;DWC}`ODC1mAQO`LrFJ)AwmQqyB$A*to4lC%^Ax*nMt9vTfbmJku-=MM{o z2e_Ika2}wcr9Z-VR#HYm!^HZrgM+hIU|4i~LVRpoa&`d%QCOIp2oFiA#AZL_IAW24 zjFa8gR>C*LWiZ1Bj_KRhizCkrUFr55*w_5dT}5q>EpWz}oj@}SURB)%6HZYu@0g{$#_OdQ8qdzPGMmX4||DsAa%=-$c3M6&pPH_M5md+22zdAZoz+upNw^K&;8pr?A>oQIty zJbf6sLzL~}6;ZLgmhzf6M}!2AFmcG4xP^I-AE=t0o>|)@WjrINpmxX2+a~}X79I|B zyL02#)l+@ylG?*GCzT(D<)M2PcJ4XAL{GWY+xnuvJUJ;X*2k1<&htv@K?NflOAT?o z5G1AqQBUk^MkYq#=?{|c*M6cx%dBoFFLmXLFuTZA6IrU<+b4Le%7<$U zhsbI69utz%uyS#*advlwAxcahI}oT@cN3dF9pc~+)iSWQtPn#x5v0kR<7 z8d2B8!W#VI&b@4h53;h*Q@mb$zcGkRih_CE6rf|ENy~V7uM1fGRZ-_Z#CcAJcinUUaDG%C?CD@*)h%>uX*d{oedA-1QNS@V^v)ScG0p3O9=_esHv)GsLKg3Q_~;ahd%1N!xJ;MPQI6c z>BuQwJ{}G>njNHl>H3U3o;9uEvMMglW=67B$D%h5|E!Z)v|DTR)q&PDXJ;^R~r9?~tgpV&D{1BCDG^J6rKD z*P1-o9tgUf$PtW8E&I$&F}S$z@DcVC#}0gK%ua*rQw!kXv%4ACj&kscosRz&p7 zVcKz20TRDKI-BB+=*9O<)WHI)aWQ*^m_1S*g}VhY2=*^~tt%*aPqWeN*+WH3zZ#di zLOPtI9|1e9v*%M_s#f$c?NPBC-l37nWgY#*;rXSdjn5>X)?br+e)*Pa+Hr-NuL&iF zpyUyDE6%ue;UTC3#gePg0yTgX_sgwM$;Ur@TDr+w|Z$}y5v0fXB{YI2HF46D0nQg&Z(*-Igw z!K=u={}3x1^$T1pyqIifnH!zLAl#pRhjRp*zvzeL@TU)g-K>ls!2-NvvvaDthhA=x zQ6D&T;uMeI>C-}D=cUBK^Q?%NAm>S@wi5}v5uB;-RABPQIA~Zo(RfRS=S8g(l+1@u z@tov6C$FY`<*K29zNwk1iJ9K1rME_UG7?H^I{K=TGMtlT-Gsq`2p>94kzL2tWY>lS z1r@ELY7TMrlZfsy7&|ED;NFPI@^>wnuXBr>B>lWeLP16WjFJ5mm$0O?yo!c~n!46y z%`5uXv@c)L(N>oh66RV742?z19j&qcQN#(1ChNd^K8{aguxPRZ$ z(#qz+gGaWOcDI!j&v5Xn-oAg!NYC*0O#=%PX|4NQp7xBF1P;;%yV3emxdmC-#HTo2 zl48j_$NH@1{fFs^(V;gqWJ@$c;v%AAXHJVrNng;^xn_LB?9Odd)7y9MS=rh>w70df zwY+Vrt01W$DW-U)KWzSl&`CP--Q+Ll=|r!Z+dOf6^3>`1b0=pP7nkSGZq80_E>12_ z?A=@pWhGQ>Ty5_?adEi!z{%a+Lg6+n(2!#6w9&mgq;~}UkLLQuJyO5r;$(K5#XTYB z^&#fH``CDe&ns)`n;Ks?F}P-AVrp*nz}C^}nX{{ln}@rbtGkz%2Y7dJdTe8^tE!@6 zL0MK7l^Y_pdvL#bIjLe)I5PuW^&n7=VKQAvgD=RxIEipDa3?TCN20uz{ zZ}-?IGTg%>v81T53|Ru=fpTP7aZwQ>FFP|MJtZ+A9t1N{5fSjvw8GMgGDJ;Ih=*TD zkWWZLYa-o0#qEtV3j`7gd19GZ7`A((MqftQ3mU zK$unuLZyoG^0JcRf`X!gtgQ4D5Hm%Ghr;~*ygj`AyhAeMT?31;Xbc90!PKH_Ybv2@ z3k&jcvNO|CQo8~xy0#Wo1A<9pSxJ6QZcci7TIzP! zBf`VrQIV0kC9y8>hW?J$rsjtF`l^bWY7lmol@=G|=jUVs_^C|6-PJv|^6v9WHwa`19Zfx8n*))4dwV;G!8$uS+FDv5OaN44J*Kv%s-nCC3bred z73GyxNRXnduB~q%^wzi56qg|yIci%g4C}Om9zLM=ENjr>&*2vAMgw1K$H8Py!$p@c4n@sr40NduLByZx<9R_kl>O ztG%FDRUzi&wj<3F5Ce+n+^|lpwrxSZRaG=wjT>uDy zI6g4|0y#i(jLyvrYDP>wyE*Sl~>J;z#_2?9W6Cw z*j{|GH@vjfdYEM z;X2#ffK4@nkQ9tzYfCE_%9i%l_Kvm=Tu*OTduwMK&|7ZF$aFWVtR7fkYYQ+ufWN*T zbfdGs0fq1B8z8ioW#(33D+>@+xYqpQ-iaYX7mfhJ-QIp;e=ok501-poeSO{S_^xVH z?*N_vxB?K64-F9qhX;xM(3L%SKpb^;v;q5WX@QIhvM3OsHnuc2H#N2bjIC{*_)eh7 z?n0mVwkBk8X+?P*m=~>p188gQ=;-Xm6NqhfJp{l+3}FgNs?aqc>a4=n4$Tp}!C?2` zdjOh#hzsZ^_7S?8o4R{jJ5ianeS-soqeG)$$OeZ;0IVT!8KD;pMn^{n&GW=M0)Qjy>jOL)uCaxHZ$cEdwRVDAx(I+K8y*-M9RYv=Txh^> zpr1fDV3q;h1M2~+6c(&ebyy4*7&f-Pv3dKE46m-M#njbT)>KwDG_?auZR-RPJ-!qx_;1he;@ekCw5>v2Yc&VI;uM+h6g$u zYq8zKQzJw`vJ4Ri`g?ovV4C4N+rV4-K=k@Zvr~2YmAKr%U(-$ z6PSVEuc^5O*j*Q(2fOj0O`rk-ad2p`p`^UBv@|0wDI%+z0Ie?sFwu!bh;RaWgeb(p zfzFn$0YV?KYj|R0Vzj#wQBZ~-=^q*aDjFUd93&F9xkq3^ZD8^PMFCT-2ap;dBtXD~ zYX*bX(3B9_hQ)MY8XB;uDs(jlT~iOO1^^CF5YRKw0#JK*Np?Y2W=>*Aa6S&$C$L{I zm3#060(imqK#C#`kM!dD`}#oB{eyrI8z#1vVg|;yiLjwTpktsTF#AD2JApu^)Cy^+ z5wI@Ux`z4&FlYc%E2bgUCZ`FBX>P1VRh8FNRaYVkv3MZec%UZ8irU-pfY2z4N=%9a zn{q^63m%Y`U_L=Q1RtR%nEL(1!I9D7k>P>#k!SV=040xmHiHa;peEIuI%)6?JH3|6eJ&dx4?7}y#xwq635*~5V7g_z07nK4|? z=m36jd!)AihQRCxh=^c@bc4IV`q|(JDg$I%enwViNe8a21KO6G!Cr&GV5=%BORBqTGLYrDnaRn>*4|-E zG7@Z-9bmBnT8DNfph=)5Fls}iQw!^_7w4Cj=VwNn(Vf6tAkw@CfCbADWd8)P(c+-3 zwzUvaT6T6)cDCz2TA!kFOhtZfdRk^hCs@+Kk_CA&VDqRf zFDx#|YQ_~5VaoGTbDP1UR2YlKfhDyWT2p}$K#M*w1VD&)_Kd84A|-jV@^W@&qQ9;b z)dB5FfDDAVe6T72>ml?&+6S9fOB;lz4vhsneq}ZA2(tmRot2QB3TW+2E0joPd38le zX=-$OEe?!RLn9VYjbI6^C@li+Q(S3hc|LHEkXSsfrw^G6&4c=eX0YCa9@b$&rNG&$ zLDw~pyxZDXnjXhDbq^1%6zmv?yp%NHY&AfN1Rg;ZsV>B97g94^gUIpBtVnlvcdS+sLVn}F2aMEppU0qobB0jF54qOjtS`?-l5TXEf zX?|vELVR>sETUrsbwMLEQjR|DUx8U+OEL`6kKWqB#+Nh$ER3-fZb(^C^;BSV8dgQ71U zifF3ri!1w3x{cA^8M6hQD$SO}(5 zJ~%AM%L8u(z;6fsbaY&72t3$5&|mdlVOdT=a$;^tWodDFA)*A_mzSTLm6Ms45*`*B z5*7(^0w8umU~9@M0DTRLA((L>rxF_*7aJ291|q%Skg({qlCr$C_^9xx_|)8@f`ri2 z^3uGVjI>lJ@B)$qWja#8BLxbHl0Z}hKBlFlrh|i+xOm{(`v-VD3v^X-N>9zoP0TJW z09KWgnVy-FmJVtFX^H44KObKo-#~bHWMWQX5nw-a(~`kT9SIMC1qKE{VJ(Pj{d~MV zJv_Yt{TB(sw;&%6Prs0aoD^7a1_Jau76cGc(ID6i4GrClZ0b9($l_lm|P^{Xb9Pn>|kSMdGF4>ySL0tuIX}d zah*B|7_)QI^0HFm;!;xLXGKLsB`&C_swgYSDJaOx$x2C_6B9doUP?wrMpjx{PG0_k z5@3w9HTBFNSlzvAeP8#2y0NLg&J}Gvy=z8B`k)5@@%8J5M%Rt58(%jzF*Y(X(9_Ym zs(tyY{^iRzF0NN{I=b7M-LQ6gWO?7*NMHYomd<5WK)FhsJYF?99SwD@t?2S9Y-?99 zt`XbV);%=4y7~DN$Pm8=*~Xm|yQt~*0hlaohfi?x@$&@Nk_x!G4VW_=%I8yrR6TUb#n<#rcGU`A>`R9%ZH9 zwUd;Dgmfp#yQS&=wl;WhKwuCsUl+$GPoB8=2E$=~o*uyd{NW+K9_~J{h}e|;@@fc;NA!Kvl-jkjCxw@4^<(Sn2{+o6Mu`)GIVrrW!Zfr;q=BNHS2eg;M+CPsz> zOsp)74Ey)&+0Vd0PtU-xZ{NN>`&jn&_#G1I6!qVInNLel{udS^vzk0Lv>C=bJ*Bfu&y?yik)7HkTjZG-gys@$V zYHjQD`}gFOvn3U;c9Xw<_hydRUX>LOceS`_W^8I@Z+XMuvdX2#u8GNp#E6XIqSD5} znT0oGdzo1oXeh~cd?cgWOYwT?HOVf9!(2iVQj+o-diut9?4G&%0F469EigDVIwdC` zQBsLQRh1$N%TZ`F28$}q&(6s!MAm{Zqq!Z#(@@|Fwp(0BOH(_py#?2UNlz+m1-?}~ zDlZ|}$ynvQAlLDOEQi^T9H3a~Z*@OIvir2EfwfOWOiVJ8@NyEH0{q0Z>_TLDy0`vC zHBDWI#P)RxT557q3OdFkJff2Fm-O%2TALeOI(wY?h=8mPNKO0t`T6^Jx;i~`a&oja zyR4{q+4zR3nYCL$SaeKubUav~<6=QhE*`9XQ3)V}mlzHAcegQ6R}^9SI9L_&&^|aN zH8u)LHm1~4BHj^vG+iSu4~Kj{eEO`|1-tOHFx~eL+DtlaMyXyVRdBln8c+@~>3fDG z7B%(&w{>=YvJ08u|HQ)V?n9U0(rHri9c1*Ugw9FHigWJSoN9_T*7B`+LBS>{Eh{Cf zdE>#u2RF4Q9mF&Y^RVec5bSM3;@afz< z{BZU;(foUumrbU{sTv99cxI0nKRrEOT7Bb%pDFb#iiH<1{6^oZ-#Oe3XOrHI?;i9ER=zejcu_&+n`A zGtup#-}??BxN|pVD0X0VWoEFwGTMmwxP4mMg%=_L!S{J+dG5fh-&>xiaLg`_b9)L; zdj29^%p)q&^BT{trQwlR2U~7+)2H2z7?4h z=W&T~i-P^E*fH|OWpai?2ltbPXH+!d+H3O?Vltc7_i>7=-E@m8?V4GfXioRIrfTGo zRN3A?GPU?-2RQ{f>8CeKvy)ScTa`+m~-p2qrS z!UDyy3$`H{z&VKv@`0sc24^QaieiHNy=?_c!bDpFKA+Ljk>{e{wTou=j;V&i?2IJ% zQ|paP3BJqyTN zojA^Z?AUP*PHtWv&J#!2*p3`O$#IbSMVY(E>-+#$HxHlSq>8?Evfb2_J4r~%sVGSn z05j0G!62x3`Kq>tk|aO#hmI2L7Po4Njn< zWjMsacSb~1MCh~tKR>^KfS{lNFXwSK23oL}QPJ#WUU0kMK(A4hI}szJMX!R`WChhPo6w=@$d}{hWUFuePC{8ZvD(N zFf0bJ-=Tqieu1Hp(UBnmez4fQ+V-yI(wOI3XU|@CiLdTo*aQ=m{s7C7Q~V<0U@HVI zUQ*Z4)VQQ9Coas-#c|@qNiM$ABIl*#l`m;&>t540Ffag4ht3r(4Yf-uO7aqCI2g&M zv8e%1E$`btadv)cYjIsq*YNfu&ya-t>Xx2?!M@J=3Pe^$RzW$~5xYC;%d=yHfn($! zmV`iejlEo5o*`iJV&S0)C7lbTH1v#&415A0WhE}7sH&->Z)9@g=FJ->hI&`jloe#8 zB&B5Jl~mNVuIOCV1+K)l=v~#;Qdd=ymlhWlx)x>Ll>EeBCb>H zXFJZxbMCyjxVVIb6i|}=rMM5J4*vm?D7jc5>&gB(CEh&J*O#buSK zx)xmD$n?VY_oB$i$;ruflI-}j^$vW2Zhhm;=7$}?d!gNXfaMVTNge@VF>xtb`3s6l z8k$;Kmw`KaMO#~2=QjaISFT*XtOby4L%DQG738umUWCvqUI1RBjI@-*`Lm+JX9W3q zxjBJoH5TYNO{f`^8 z9{~L@RG2@?zi}Y{I8GpM_FW)G41@@f{QDpQL_anL$YE(9-(dVrSN}ddAldS_#z6CE zX=y+cfGpV`yX~q-*~*M4;in z%~0^6w&tr1Kt}L)0YRqweT23l$jbhN?awvzXFdI@3=CQdD7dyp3Yw=swE)?{pX=%S zT>1(^c3XZ2=&PE))$-fhue-Ue7w}RGZ1E3JzEuncf`8oxpV z)%NWvy=_H*oGM^Wqk!Z52RPs1{ZPYiz5S-A-`1vY6MB1YY!B0qn)!WCx9vendRsx# z(%YLOc!DFax_rCu54Ze=@B4fM%jEZ~K-Z+c7DH8T_fc8~tP6h}pFh<5TQ|WS;O6hR zK`*vH{>cqLpZI>$w~J-a+sh~P3R$1HH0oz{{AsN}HU`xx{c{ig1k0Zme`^OAHtGjU z{;iMD`9JI6FDv~`AOBDn{#eJ?)}YtlEE#C(U##tq_5U|YWWMi9|EyB}8*Tmi^QfUmEyJ1Al4YFAei_t%D4Q?_s)DvwfvSN`JuOer|s=;5_~`Z)4}(w zDOAt5Uj9(!?><6f^iv;yf9WqE{M_0PU$gl2N2rD$YyF|duf@MF_(PLFUiRxY{)y7B zwSy}E(9FM3@K3b+XP5p9t^WF!KWpHhEB|%f|4QjU*Y2;c{#V-luFi%$xN;B#QUO#bC9OS2wGh)y*B9V~y^so7FMmqpcXL zo7K(L&8pE{U4zwauKwOXMb6&ssS~?V8F@u5;*>*HL#o4I^qT6X!bA2wi+lRLt`&kwI-7%;j!gAYe;y9=#y?lcuKXc zSadIq8Y(}_j8YAQH1I_RXiS=JZie$Be37i0ll9HGBRvZVKJa{^6Gx38yG2e$j8Y0> zcb5$U4G|Mt1m|2_uLTnc#-WgwICH_emrHD8L4WU`$Fl;!r=qSTvPc>+N2);sx>fWMC zWLq!#S1?Ktm=~_5oUB~i9qryC%J!dH{Tj=JN=Ah?UutJ(A#K+-8I4R`wuDI)u!}DYBG($tw*}7rpYKHTP4v+jy<%{MQ81A%n~~2lB82<&pu_g;e;cXq3@= z_pml&;tJXDMPxl^o*g|f8o{sPUdDCp@K{eRl&`7v@p|RCh)v1+CZ~xT=AET@CwVm zkx7n^uWX+VNS|y7KXb+pnZm?Wi1nCb@p>Gcq^=xPeAyEhug*vTZ4A9;g0K65S>+uI zB5ZH8!pXSuEOD7xl{PVfrUw{e?@R8dni1tF6ctfO8w`HvQsA1mzRwo8nVVT6*4ZKv?NNA=&Eg{h@+0x`1dXg1@plP`R0zb=_;q;u@cb&7Dlu$%Zi~$bD;ojm~JIq zbl#2-WLfSpBctRMRo-Kf{3(aAMKBck${OoME<&UKY-I}>_VLe0?0eK;=N>b|xxG)o zW5lRE?n>L(4LvwcdA7%jl^XMN4ZP1h!L$Y*I-yCN=-5y=N<@$w4UPJ7f)U2KNOKdz@2lwG{l zgTSgFtYT1O+9^aAoXf{5`b0*BEj06>6OblVth0=gT|zQ7t7iu%&0)@24u4IGqjElf zd}2RPX5m^4ngA2^@y6#{@l9KVpmkBx*J|1`+7uV>7D+EHL4Cs#sl5VnpF@?Ym*q0X z5)IWgIkpt75g}tyAcdYAX#;W5M#2Jd0$4kDM<|aULOmgf1oukffvVTaCcKs+m)f_$ zDYhEiZtia==KvsX3NQewi03+{?jX!$PKC6-dLUQm|Q7as8L6D6=jr2&z9-n^C^jmACDTObue+S2)9C| z`EhD>%KKJ&Hp!M|OP#>qYtqE3^j2_DMO>d5NyT{evUl0f^xJY`TKu0pX4Woq-TYlg z?8)1+6fOoD+SlF>Xcnvc;<^^KLKHe@4zFV5jfw=muSA2CILg#cNhkSxPeMKm>L4(2jvGU+5szHdv17$@0mqXxz+AkR>+cr( z<}R@p`HP5$i>Z7nryv8kz42!LRqeCvHCR$bLd1;31Xr1e>OEqDMuuMP{u>PSc zrV(Rq6xWcisE=eeahgE(8YUo}YH}FO6%NY86y&>KhVbXT(L?JGM2SqXrr7m{Bb}}d z5E&v({J>_4(6muH|CYE?9Q$y5ym7t1q^CyviiJ1Q4aEFG!C~*q>d5vKl38iZ>@lGY zXVz4!vU>i-E;V7T;W0iuE#XF5v9{C%c2MntwnDb{nSw1!<8B*ew|zDAx+L_9P5gto z^CC+EB}a?}ZCBexSu`fGfvT)e^Q~x(;k8n4=Ri$G4|T;zW|O0Br2DNqtv9(W1lo}yRw`#`vK*VScJV!ywa0al#GwW&=gW8N_or;05!&9_TSkn?a zIlQTEzd=+qkW=pAqVPTdBmJH_d8hSA_id+C%6prJl{*1vXEJ0e8CrZ+#Pa3_RJzh+ zHlXGU=K00T%g zzxQ`JGr9?wZy2+4i@2$tmATK;x=c;cDM!FK!o=N4^xz#;WG2~9PyC*TiJ(dMVTxps zUYr=fw{7ixc#Kt>l;dyS!qB>rWBcKOZy(v4t))%t(EEg1n^+S>iooADoTvr9!M8iR zrNS;;9E{ETo-o~rg#d?*+*D!R)0X;=n>fYNd5+}#oj^-J;`k5q;L|r=PS{HEs7HOq z=((`}x_%GQ4u9*JdU}KPCXK%G&Q%|7y%sgEH?x3C=U{DZty+$$N|g%=?L(Qr@80Og zR8FVy?HhfsEp<_6*6}#DV3dL$stm5_#SmFiS0{z9dRw3d3!!M!*?=?E4v)7>P!s)j zBBDcf(bz7PISe_k;I$GyrEDkc>VC29Uv>EELnPC;P)Iq$)6+G4Qxj^2fe|nl7?hf} z6Vim5z950Rml!(VC|!&^>-KQSbzE0j7sg46jMQYhfyQpeUe0G53*=dnsHc%>ugkR1 z5k9sHsjmQbbdzMHTyO?VQF1e6ld&8E&Vd!xGAN<~tpt3;J0!#xN3{IpLhnI-!Op)wQt!mI5*^`7%VK-+_*%jzQku{#R zH4w~m%ScFiVG7~FP$tR6gaJx?uba@9;8aDj#KqH&2{^3MuddllEG_hwZyZlj76J8r zwnOZcCryS+I_*pNsc=`mi?&;I9$}G6D89wcYPr)R7-?+cbab^=l+EfJgL^%0NN2#{ zyq`}WIkOMo{gBA2%yftp3}6QhZiowiSnX?_tA()TWz#)_{b}Z9ub6FB9;-w}>abE; z)6o<+DYy(1sqkSx>U1rMap2$vn{3YsP4fPX6;b%8f%4M5W&p4NJGB|p?t2G1TlbJl ztZ+j?#L{MP#x`%AXm3`&-qTzUXj4RAQebpVE`S=&y@V?L=;hr{F5Y{`b~=&~u%Nu5 z$a}%750lR5EKsQz66jb*9#7goaW*bchoVY&wAoCYxd}2F4G0)Xxw+eStb_|py3qtn zYK?X*2D4!kreIUZAxvMzZr6r_>}Q;e=tjJuA>IMVF!QeM01$KGN0M@B+$FYXr8lab z*A@NbAa0MHr0%YziG2mhd~5lW;lGS40^K5(V$KZGE2aahBsfMe@kM}&JC5sa*(b~Rp|FGNY-Urv1pt!SOh4DcA=@e`v*}1$;lE}l9Ge6r)(3@@4 zeV2rz(0E@z7q3Un9v(AX#jAf*?h~&NeUB;)aq&0s4q8icAJqvQOQ3hdkBs#0Y^zl) zQxq>`l)|#mQO7vek%*^FRX;vFi&4&zKU9$hm$Z=Vi?q)Sfn#1h6njLSsL~9|!`Vru z6ue7!?NYe$hahDrwJ4s|YRdy#Ju4SQ`WQVa5%^6hH4!ml=;OrET-V1^3Bja0G0fFi zp@gGPqJL2Vd9y^|Zk9?tu^t~y{){5Xi3;O{z5T-5?pDfs(fSLw zVEpdOkb9CYiQ8acAg4j?htgS~CF*d5s#uPByGE7{My+zlfE2CO<%o;1vQs9u{xcS5 zSg(`vX*FgvnZbKLu1BrDz?y#u$AURp%*P- zd)A6ovPg19FJTn*$;ln!qrL5fem1}+FD?oZ^J}o4^oxi!O7OL^shim;Q!Lo5?S0HG ztj4pwSu(Q=AN(Ovk!YN-vDsLqliG zQ~<18kG8f2$IWM#++N~x)|!}!uf57mn>Zy!|(|b|q|LHf-<(M2}_^p=`(3 zk4gyur7RjAQkqMYD5t1+@ho(V1etuz%H4?LwC*jcDSphhw{mA*{-z!~HhSbmjIo=4 zt?*-=kp~Zf#d-N)*^rh)IM7scxYag5h0i|7u?Sta?YuqORyP<~NG%SGTYxdINHxu{ z`{$o+NCwboJyKtsq8ai4y4l-!okj1KJpqQsi>DABK|spr z$`Bf8EZ@Oa9XzM!>SYT9nz*?6-5A*KAcZeV>W{5vm9}k zTv<*%hk}@@Q9550vWZWaDTiqPRsdpvqP5E^lNsv`Cd|HLh@qu(xA}HzoeuWY_@aV_ zO;4|%KQJUvKYU#uI%g|sNAD7-EyWs(Mzr{YRpp+DpJ-o;`sW=S3Gi;{tyUw~lX1W$C!BzwM5oFaIxwz`58DN9UXe2{t@gA^ zMryp&vko5`u1qM8@dQ)VvMHVGD12KoM6M3XkQb75ZFKc;on=LJyt)uF)5xpW&PPOk zK~~t*sGlb@Kzl^CXPKWO$kY7Jc!k{U(a%4P`l3S!kUfSNi-G3}=eg7&(U zvc0kFiUYK{yF{&gu4(n?(D1NaYFSrY!;Skda~@JWM$~7Pvla>}a-BYkw&HAuBtYJ= z35$J%?nw>-YRZ6C=$=R%>D%iElhV*Vi0?#XbZ`YEM<4125aFTXg#QWv2%Un*= zghF{>f05*#Rbwojew2k`b3`iB7`Nhf!BT5Q0)=w3pa(G1IpTPyRS^KCF3_a8uHVoO z0Z~U;Wj5WE6y1+Zqlq3DkL)Wy&39om6CZHo-JNbqnxPx(Ng_G%!Wu{1BEcCRcpH%- zK2KxRz{um_t0@{>)^wjEbH@sNDMZ?d+y$f$xUzOZUaaqhX7JJ$s#V^gq0@D^G3|F_ zz!CI}_LSF_Bs7OT#g1rw4BLe*qY13$IEzMx<(E^JSz`vSy0He?X7W3}CkCs&Yf?^C z!-j%61zVH20cME|)@aocl7-`TIIML+V)7ZM!I;bH_Ba&AbMV~_LO-F5H2rjlf^whO zAcI;JL=a5MAXPHO#I){@IB;scN>27KH1~3>dzz`|3dz8x64gr|P*gP18rdsp6W|g! zBv0nijp5GpF$So^)5ff@t|o4hr*zpHl|D+z();)iTsisRiL=r2Nba_SB?-m8Ughw6 z!=<&;7#wcvxXD&Ky(8<>-D7oY$rAWcucb&-|6~dgp4r*)`gd33;5uX@T|eCb7cB6N zlCm3b9(2UTydvj5=fz1^GG7>%N-yVm>|}mPAtg(@2b#Ju-Cy+xf0wbjxe-afaaBY;uG3rApnO`L`@ z%Cd1|QQ36|WAGa)lqA969Y->6dod1u+Df#(J7Q&+B7$R2a=M%pZ0Egs<(|{2T*f4~ zVy6=^ZZ+c5X7jNrG$9z*pK;p_ltyfb%Y;nETtzUuk(R9$6S?|mHk52Zt%WdrdBx3U zHUXVjX{kBA6zkC~4~jIa#^}B~d_*h%NAJG6J~Ua=L;q31Ac=1s32OO$HwRA@RdFD|5!-uCP~lQ}{e zI^NA2&1~~_J!PBgI6fikh=SS^Vj+@HBhbU*nG7U_ONubxpJiCE^Dhm@>jQvU*!s?@sLCY{Y~s;Z-1S?w5!yUWk#vsv201OM zQw!|Y;AWAlDZcISF75^C4q<`z3YAIHQdOmLUZ|~BMBf4H>r6ap>oWJ2HgT0-%2R~W z(Ktve^3JzSv&@1Nw0fn_>@6DCPGBR?VU02_#zs_IyTxI6j4pd2pXE(ACKxBiRY~=Z z6UJeNRjK;K=X6~dc-3oof}HqpGS{xA_wN84j@5`Y(YD4Dy3sc&o%sQEf;BJ}+(%)Ga;q$!3H zZn3CE@*?dfG%l3WlW{PnHZI3WfKs2Uq2yI-G`Y8sm~O|k_uwnqnQdD7K7Xe9>NAI; zf#ho)X3$g8Mz=A$Dma`H<)Oz0=}qg6mBhCa&e@O4+h#Wx-x24b&f(2y7D0&0Z%MAA zZXdAD%ss=qy2bb!>tlkd`XxEs&A8Wv?u=bqc>=we^w=F|b2yo&w31LT_T^>GTENfB zeI7M{D76x0&Py^lgxz7rQ-UxtUy}Uv5E$t4VMMGYc-$-#5b}=pf?FN&QcwpNDGzJO zv4JIUV@6V2$%ndnl-OWBKpkrg#LA1<(6_LJ!*%8PoAo$FD%q`};wA@IYePd;c1-p; zmi_&*ec_GuHWlIXXosyRb*EPaI{I5LCGBF0^&UN4J3KBQJZK-TzUrNGl1XX9l0`TT zTz9PEbaE@cwq(l`80un8An~O``GHLIN5pfLrYsK7TF0p`0&rVQ?*imYm1!G0@ooRG z$sY|L&Xso6qkkykHh(EQMJWIxsgy#=tYDbe&nCEY#_=D;gLTTA?l|NMo+o_fClHkM zT04@OVt`9OC7pi?WJ3+nc^pwbJBSw`7QOP}190h9w6x`w!`E=%tZ-w=biYWTz1Tf@ zQyza0b$E}D0URS6L#Z(>5RXnPA;Pw0uWDIkAxZ-;y?g44piwU@R%|>P3anxccq}0) zmj5*pqszooNJ;s`+N*CrT}_+AcASEwimss|D?@zRldLsjH%H#+R+Vk>_$&u2QCVzZ z4qp<w7tBdhvZKmDu6;mxB+L zgK$e$?g;>4JQAy7MxpuCOeoGC9dGZA@bL^dfH5$?jx&3h`hw-9J(;}y0%QWRk~!Nlc>xC<0VWpT9RZLvkhd5Ss4`%`<2 z>uKN7jYn1ehbSg07py--a0dKO#>d8GTsK@~^HLSJZ8qTw*{PNiR>$Y*7nF9~DD(Id z=~+gqb!pJ@VpQ|VF>%hMaPf~|_4ip>hudQ!!KpS_I?4bkqH;2XO44?CCwGhn>Pdjs zGA@s}8qVE$qP!bh;{pjz@2v!&>rkLy!e?}0=yWIY{P24BWW4Y(098P$zw(UCof8@t zIK^Q{mu+0y)p0KuR+mE}giYK^s zK(w?foJzw*B+$1l7E)wLeR)!!QZLc&Bz*<7tmvLg=A=rK@7cB>;R20@y9n+HJ=p;# zsvMu$-u{lg1eRwLM#i?O>Ok<45gJ=a&ftp3$9vu5c$omLM}3zvv+r$Dy;>KEi$?;8f#PRMy)=E+CP`}O@V;(eXTN3+uV7G*eI9%{*j|ZB96aK ze23lrK4MpWOVKsa$la=VStzq^cC^gdpRHe0sRG^B6iwR?Mou;srG^gJmy&QLZAzYB zn+ISO}6v0FJCQ{Eb_ruVPAYR#?X6@5154(-XmIZ37D~6Cv-t~Ho@#~!}Wxss1=rd^4@i3-& z**QIeRn`iy4HdwI3hK{eCZCyajPRpbE(l(qrG=vk+^b)z&>Oxb=>?0o4)}N5*jIEv zVX{;dp}(yjOV|pcML@CyEtO^Yh_%E}M*Vn~%AV+)1rK)CzyWuYnPYchZgvM;+*g;! zr<_BM-@QOZmP4>Ewx--G;WJ@kBN%=w(8*C)EtN`InwWu@RQlRjjGV1ZYxcp!pf1kB zQLJ5lJNY8srGIiPoSvBUKXKyGl)eE+Pq{p6Ny_rjIo+hgI#Fv-Uh?_P&}CanJue17 z4NBra>in_*p(yUI%iE{jdy&y+3P_SmlCPF)VE>X8|20J7!ety_3Y= zv~$+crb5}xUlZ>4G`dvwNtV@WKjM@#K0>tG6U4?el*Oqe9;8xNF=zyqt99`}WUv8R zu*ZwroCmXdyC;+D$_YzYoMJZNRn`&()PNZHwsgxN&jH*M)7km=Rc>8EW3A>V{*c26{U_3giWf!6wR7-)CSL%E4-HcY zJW{N)W7E!7=)s0R+`co?w~7R zO4`oRrbmLHm88n6K|!ODGY_{qJ2WARw`n~N%L~wGDJk_b3m``AwLhCODe^y<^r5cH z71zVq$W^N>%n>4%2AgMkcMN3mIgcFC2_Mt9c0>*2h+PH0T1zQykH}$d_gn$21EB$# zBj|SW6D0_aCnsh=PmNozRiPQ9TEkFF7wO?)_f}dmsu>&&x4~Y)yrW20q+Xcw$xS(W zq17cb<>N)DM%#vdx+{`(I1R#v;(ui?E#Hb-C>>qM-8s(tYp4%VWyEWgs7C3$OayDqOZi}Jsd3E8igWz?4- zFikuMdeE0f%a`8oxt$&CMb|#ap&#|J*4p7toOzxVd^FNaTC~D;I+%wU&Qx0gVTy&& zo+$J6^~tnB3l|$S&oVRu-O9@`Hp67>Xdp@N4S>{1bZ)-b_rfm?$vHT&W(`;XHn0W- zxiVX?42We5P?3w@2U3PWcfmV_nd<;ev#{tfU1-*v8tC+z|IIA)SarSgH84Y5t9 z6u|xqPf(Xh#tSJYIxR16(Clcgv;;O9)kNjn+huLdhoYgsU5_#`;j4T{OlXBTe}>|1 z#^f42tb2)331wISbuN9T83YnKGymS7vD<&!%uCuH=7g@pnK73^n+3Uv)j#hb@E7;- zZF)gNWap z%=@qVXwt$$YLsL`AgY+{51K~0A~%ZHNFEywa^;teO+J-eyQpjUtX~ShJGbYXyc%&U zlN}>v_$8(O=0!FkjP9(%`Yh^v5bi^mJUih)%{^n}NedF8uWeCvIM&Aw#i zecTVTsuN=lI&avg;oy5{m?i{G74_QcaCb@`3@_l=ID6*AC|cm` zf9qam|9EzHHWQB6F6Ca*>V#I=wo#Z*YuycDu9Y2_uWRV=n8cub zDfHgMHt&huUlx|M+G;U~rXWbNMQGwlE2$L)e_Rx;pvS1=2(<_o#G-&)A!%_YJ<8U? z>rw-p7gv!rD*50ih*Z$5>Xwt?he9h7X49~}KZ_G~VG!9T8|$niykhHF6#7cN>!Xj?7??<+)uPx}H6lB2UR6d^nZnc2c4{ z6~y!1+%}Hnx;Ku7oA7?ssx--;M7-T1Ig_5u!6r3t-ijzQ!^EqedlA!hx&4EeK^_9x zVeh7J)CR2dPiHG4xW)*_u4gf@HTD(;Qd9j*d^mfIu>gGHkPvT^yGD~4mz|Q34>|*x zh=r-0CV!n9;Mjr5j`u4T??>xBfvbkG3_+@+vO|6a=K5@bE>A4?5WXRI1z1yhP^OiI zZADND(drbyGcqHxY&L#)ezlZxzcj8Zv7|(0~3*<$p`X;;TSNfKkYtuQMGyzUqIN^Gr4&umBtv=LJ=E`-O) zI`XK_BFj!t??yoA6ShUBdvDSJs}+*$)(z`rC@%4I@>Z##+3@V-<^813Lz{ zH@RKA=iBs>4mTSzHwieBrWomjqc|5*6=CxwCWhh;-`$XiY)9)5)KQD&WJRtx zHVf*)npK#6&;Ec;d)~v5{@l}3G1PxOL_4(lCds)=s7-a?gn^^Lp&6CV$5*mtB=2au zdu+D^U=IpFpIu;f2%ryUv< zbV1tumpU7$CNABhj|Ab7V;a(1=YEYYWCQb9ciik9uC)S;6~|s<4if{-QF&l(#;(DQ z?#Fq#Em{Bbmw1B-Cw;eND}hPguJmKG5;PV!=63UV4W%IFmprn?vpV|i;!RB9fwklg z@b^p)r(8q&S{+xLVBhdV+|t0*)-l1o_M#}yhI1ccNF1YBf!7UNgU~jfdn$hQV8#nY zXv~YXP_bB3U$C4FYrLbo*9p6dzRrJE7hU7wh))IOkUGHDyfvW%( zbAJwKzf^jv$q0Xq=>Oz8p|qmE7ezM+xs4=A2Sgo7{Wzf1g_aNRW0A_Je~W26Ao??Q zi9KRftxlw09`1xwF1P54nT#89CHG_Q1)m20eXq)c>o`l{u2AKpR^z?*FV3TKcb0>y zZ!%9Kp=78)iTF=l4Qt8=t*!qm_3}3eRNxq8R2PPPZm0Y9_rV{0mOl;z=K{c{aSvf~ zf6#*xmQ|WLyFhUDUZLort*s2i-Tj>j zyf^Y$Gu2HR`lI^P^tXxKoQyN>gd&G4rh9R(%RrZpG3eqoGXTD%>j=%tEPuOroA)_htmnmp0sL?V74u8ThLSW_GT>{yJF~vElTt((XFFIIm;Q7nte@@c z;Ud|^4}mxOALZ@}_~+IVC0t?V9O~vQ)HWMTwyTwriiizR8V3Vrt-M#qz>@S#QlX}6 zkcc1j4^uDl&kUnlVCz%6uHoN4u>Wog#!mQTYkRzb3eDOrg)%(4(q%=3p_icF;uD1L zW24f?NC;L1{v!HuzwTbbQt~>&>B0 zJE_bUww9otwA5HtS&NFq!qXRaYUiQq@$UNjTVX?chclup-_+!Xmd2)@d+^1!aK4>p zOm1_?$=*yGRtLG&k$(7p(Wk2L;K&NSB!38r99w)=P8Vw;z8% z+vS3;u26hkHVa-V;K5>y8X5F?T36rx=?P)X##~( zbHEjR0I=rsFSru?o0s~?j*I`!nffs#l+RX-K_3c*s!l33uzXgRi%zb;@26aq3B*t?~`e2C1k_mfdton&FEK2Gz?W$R!e1M9+b211P#NI%$Bs-ypR6?mRf zYKf<~%Ta}J_t*X{_MeMX?i6ZR%F5sS(x24zP2Z5`A8CVrsJH}V(Yid?|DJ`#kRcV2 z>A6GbCB@*MY+R}TMMZ$jt~{wclPRSnk9_{GUxT-H;NbbzRSdKb=eghiME*|N+fSid zRJS)v-G$QzA88@Q1Z^-E;uS}Giyi;E7R7@t7?jHeR>|n-NmH8^yCyt zupSJCZIaY5K+knL?uAMv2kd|{8+V4prs()%b74x(&a<*uLoyho9Ml2&j-RX(H7z2o z4`AkE^dbR`E-ESv`jq1$J9Yr7%eBPGav!reSscy^W`;s{%PORUWKY0P;2)5cWoqlV z%3X2(kI+M!)qH(39=41#R4mMO_sp=Yg+@Pc7F9xYWv#OU*b7>oQ-{LTi@<5Dh zWVd4HF4ul--~8-WK?nGf;cISa>2aL5ZBLDSTo=hevgHBC6+rIg^D!ZM*Z z^h2G=Q^)Z-vP?NELmjf@nuAiCfl@qJ8O*dLq_M&2bn2+gIlZx)Wj_-^RH4f15v-$61CDp`183Usi0}IW-dQCi)0( zWk=L{v|O@CSV7ZvdTE_Tc`aSLaA;5T3l(FcQNqfnZE65Q)I!1f00PnOSPEx0Iv1rE zo?iqu4})v4VrRK!puS)&18;Q_(uQjA`yNT*Czer*Z;*299?v*QVWlqUI@ zD~=`IGPM6$POPT6-60sj{@6rMaEaHD1A z;ItJHYJkK0!J+Nby>BUJeM;Nk4Yl}&`_EV~1fH-90Ys@Q>n zj)#E%*)DQKPuGS%QAQknyZij9+7H(G9I&zX#qs*b1@()<{c^6UDq+|^yyAb`WR1#Q zh6_OV_S?BS_h8V5f~g&ACBBs*Yh56iv%fll7YG2H z+vmeF*te6`g>;)ovwe^rCtBm{6dELtwsGimz7R`Ly5h4yep*RO&)1_2$H@_Qq6CC~ zDw!AckE`51t_YJ1E~wB?Yo(uL9Fwa`JT`~TLKxGV3q(~1Pue!loLf1yx3sM_IW0Aw z3V`3Lbj!1%+h1|HwH_&SD3tBL%7#Nrz3VAwHlXq`rRL%Rlteb_Fcxt>^0$}$+(Gc zXjE};VIQp+~5Z%M1p#F+8l9nm4hbJ(@#Q>I%)9bN`aL?=?gv0 z?_nzRhSjm27Kb0Bl(+X7TLD|VI%H8DI6yH^iPj#>0ch7-lXm3YLU2Kdod-zXgDZ7 zhqc9gcBI4>|C5vL%pG#1Sl;>{hNF!_{IC#R&*5t%$&ZXroy+OqRj_3D|KqsypH3|3*qKH%<)T?oUW8CRpi=X+rY ziOrhr^+vlw&7+6ipFT2Q2fuJKjdC^8wfOMHDG*Y|ySnRkvaTIuH2##Nv~H(9s0)1Q zf46Xa{1=Qfxx}|b5-FGc`$Rn!#Z>=O5Ux(aiQIZ)@Tz9HDc-Hz9z{Eb<~;kFh&3^g zZ%!e)KuPKS9KKI;1|CukhSz`doOMW@pMST$UH#RYl>6r^`q5|L>d;2u^bz%f%!2+2 z&y|D@3W|4De)6i10~@aBK;^E2E}=HP{MH^op&KQBttt*TE?g-kC+^?Vz}264ma zJ$GNV5xO$wz!pY`Wrq323+AYcP>a|6<(RV^mZXlGg@9LFzFvj@;w~#@R%vv;NLz|v)bIJ z^jkEE{PTX$8|a4@sofMz!2ytJ7vUWk8k=%E(Q$<2dUyYL>t$l0(@qik2jVIq?jyhh zKCqy0L{R!hsIiFlVxbwZTdT7*5vL*z-^-)9Wj8PZgeQ?^nj$X=Hk9%GDIHRU`im;u zpZ{ii_jQ+c(3bH>lC+4`>mD6SRF!V$Y&iM-x;uUQJowAEJ37a2ErI(R`;%u(1|E9C zi>{!`Y<;@r1!h+{#5VRu=Y`LPkN8sm$~1HOoMKv+9Ixt&c45B{_CTTuy2gj}$v5(z zNqu6U00w(5=FGop^S@YjESQJLy!=|R&OuOIyOQ$-iBV9r4p3&}oF}m5B_@B>{sb*91&AeSytw<=5)1~_) zds2*P$UC9ECNi(cUe0>N6Dz!)a(W&11Q43XFH5@z8X!sFbc98h2&(AsYB_-&Ml5Fo z=muW)=Q5sR&y>Q1%0inWSnekP@7G4icFao&FG9 zcn0ldLMr|GdjB9ySg80ppv~pgSTXE%TDc|>F*EDPu1slJ3%9YQRe+C*Ky3f1lv<2j zuvz*uv=H`#Xtr4rZA(F6`mOAgt@86*%dd8~VmYbegyk|dvzAu&{0P=yD{A~f!5{Nz zTj~&Px?f9SMO)ek9(n;1JREs~sS^}){hRQ|r*3ZDj;{t%*Z*uD)r2xcL~69dB2VhB z@~tIw^9ApdOhR!1b4RmGuN$SV`6S=^LVmzq`}nBa0lI9eH5jM&?9ti~(HE<9@u6q3 z(^n944L7-KkHa-7I-0FbLK#!hmb=4wNN1j_7^hmGR>D%}7N1!3r(Z&3=pd*{^J4K= zG?eb5NTaDAwKt&uf5E|hHs;!s>rDJ7v_MxFcR zSqA0ccUMJ3D|kNE4kOii=OOh*qZ5xI1;_GQRx#N{Afy6K zaTj)CU;aeYc<$_xp~<2^jR(eGrP1I4aqBsd-@r_TddukF-2xUGbKKwYyV(XSeozLl z0KW>vil|c^{FQ%TO~`ERfr6)!THgHI-*UXPBorK~N61{U{}I zmw&j*Mv#r#+W~H)WngkV{N@%F1oJhOO5JhL=+Q5rsx@n>eQ24?&62!&!B3T~Zu(>nB$+qMgL) zmqMb}v#$_gAX?XtIp>R_aoL+3FBvovXsO~1buXZs4s+BscB7PXsTmCAa=|sH-h&K$Sv?uF9X%pzMvWtz4XLv2`lb z?cZt;Aima_Ej4cEt{ioJ21lto&V3rs5VYc8HDGbB0GCWo{j$i|^){Z~k&kxjSFtRM zl4OU`Glo=>f|duGYr>mp3QB!Mka^+2JClMq3w3Iz2Vbtb_=|4r_gezI&VYKCaBDi< zkU`AZ{Ai+bRSt+ytWtWUw%sE`B=(;r=Cp#fK02Z$mO#J3S*RPO z&(V)_=NFuqUb9QBeqUe*nevfwx|pg*a{#vxVx1)}rE!bUE}}w*z3{&$6T-c>=-8TH z>+yU3p-C?u<$Cn^qcqncrDf__#CFzmk3T=TB2VE0-E+0&x7um1g_lEK@p`2KreU#nQhDOSB2lv<2>E3(ol$CJm~UQ5qP?}r)10Ae zHy3!f@BZ7NWAE)f*6IE_z^5G3y0N96@S7Y9^<;IQPH3k496+BM%Q9Vp@(T3wb|701ra67Gj6rMFdQ-4#*~!JxArfYV1Oh z!5>mkx!PZQiQB)PzQ(!gu|!ylcky3WMXxvywg3BPx0iCh834(xNnKxs6D6cRi0ku5 z+!~(WWvmYhmtNJ|UpC^s<(k{Cb&lFOCogu{Dep;4Kdi<6V(PRW{S*O3dL~eNO{9o~ z#6jYmqwm@e_&$2AtB-etC*z?(Uyx2ScYt<^NTON-DAf@2K=Lp@y^~_bYxu<+p z!I`nIuBK5da%6!CdA{H$6UGe{0rco>(~M&4Z7zvGkzw0k;d||cQ(yA2LigXEMCxV! zJgu9S{x6q!S#jjN-Da*BQ}2^nY8tx9G|)6OIf;sj5fxFt;jaGk-5 zJ6_RN8)e(^lBf5jdHtG_VeQ&XymL_${>KnOd@Ie`qMiUDI}OzcJ_Dp!i^c{mNhQ7D z?&ye2LLNcRL3BM2cWVDYzyfX3E=p4+aarscdjvf=_&BoYx^sf0q9|~IS&Vd> z!EySUK|%h)u#N2}LG`EuzFSht83Ex@JNV*V=h*ZhcaQJv^3<$^yn2OLLhD>Zd5jO2 z2lKuyOh1wCph|mPR)4Jb%~=CNsYm)YYl_x9QhD5;`;bp6aBlFy7R(8aS~-*HLY7vM zZw;8<>S?jOYGCqOy7l=aC8E9hC6^`n|?Rq>h35!?R z^L2>RX}5wr5OqYmQH%~7Z4v67&Iy{c;e`_*TXX9lfV&3=H9fF;NEZx$tQehHp%^Ry*p@IXBO(6k9l> zZArS2w62snlq@vW<5S+MBC4j$OIN1+Z|AH@)sT!T8W#Fdc<_K%DeQ+xx=Xn`_YiZhyC$nu{ssbWXujpd9?~^)?BC^^ys1# zb7CUVT?DRRMt@oA1IZAhPfBskF0^(h?3gX|ocH2CmY(=>V0v`9?S)$0TPhIHyN{?y}U$-yy&KQHH_XWP4Yd_q}*-1F2c&UuTf9MdR&38%a$=!iu#f|-hkBX z*;%RK1Z5wa&dutOCYHA!hyohrC_P#iBygdrsT+Y0-PCF}mVAc^lyAJara|4HQO3qG ztk2r2x8d>l^ZNrNy};z!g$-nd#muRr0n6sT=eW5O6>{kOWM(h3NFdn{j3}X0%7pLM zV71;^*7vtHv>!-7;}H8L-YhN=b zKN;Zbx=2K(UV__Ny)w@nZMA1h-^7>wg z*J_sAs4Qf_{E0Q;JMomHKY@K>?>!2k&^)i3kS|i;%bM z>)%mJ5|mYzU87*7i`eZTk`23K{k%OdLs%;FBi+OI_OyH-WpmaqzyBOp#1xb`dk$x~ zyy!s9DC|~!=Ss5w!5|w&+Y{@i4F>G+1KPJf4q)RqZN? z)X$ctOVTP<3wiHiRa;QlMord!1Urs59@4I%6mNt?vn7_1nUFrM5><>%r};p;d^djK z?R&TCyruCo*W2ATWi!`ij_N?wQ*oO($mNQo&_odjY%=qF0#T(6W%^DWvDOn$KuI!GUHLc`H7wP+tDH@?5#Rhs)l<)oIo0ir2D)fUA&E#O z?;t3Wk9?@|WR!I*=fP^x6-Ncup4U%5zu6I2eStMoZzMpFyUGrS;}H0C>E%QqW5+qeap zvK9pi^|VwM2z<~~0aCm2ZRW=)oM=qzrEvh802blE{YYBG~lt+@kY4cho_U zn*oO+K6wLIOT$LM;Xs_*+m~)Sy{wOSK=s^ z?Ar8YI{rH%hMhi=Wm4x}f4YwJ*%XJ@x-M;*)&*iY1>V9Xawnzte{rXST9jT=xNB=^ z%NM7ys~)dkCCiU_#s8SUfo-;|`)ld_;QoA{Sy;5Zx-KKTd8cxa%%^Sx1*UDzXM|A< z9*$)>$3LvxP?RCj%^j{TwatAP=7v{dzBRmPe)K@#rr@!2c2nG5yHDcn7|0$s$TvOw zteGBC4zZ4M!BeaLl;CW3{)<@I<_&h!_U(^S@%@LYR9wVT)k1F9hb=ctTth?HZJm)%U**3rmP9|LvJjz!u4z#u za)j=bY9*O}>6CGR4y1j`K0+U14_m!(AY35S5}7+m$k4Lqprd)qn>5+RyPr92&m>=` zV=hqONIS{hQ5E9Lw<Hv zUT(O2hT%3@!{cf*^MkE6!hJQotMcx>0)tKO<@kL^DU$$z9--7)s1vF!wqrapE~%~=?2^b4X?Ydmsm%r z9-wtunCdU^#y9bKij@&kKlk#v#biA6LRnpF;ib2j%#=rkbM}23GNU}NXE8^_&yacE zzj-GnKV8Y=BLeACNBu~{?0C}EF!z(lr_Y4r5tDVL1h!f;UY^fRJ(*P_6u~cLj573uk0Y&xC< zSV(XKlnuUkz4MY+KY5$IN)FeUcJKOmfx$O?$!-tiKR;2@>#UYHTW{*Noj+x@xJJ(^ zUXFhhwMRZnfNyTo#C7b{x-_rmcA^Ol!nD7TME?YhmXQNtkz4$Wq!~>=#%MArXYeitrf(o_}K&nTZiIo2%shij<(;F79L29_uL@u5BqnqbJ^~ zG{H{kPv9XLq-*>H<4Wu0>dvhMG6a13=|@y$dEs7R57o~1t3e&!5AMC$YGmlSbXwtF z*~9@~v9j?CR({#SAWE32BMgwvwx`F7ep z;-HQu0A3@vkuJ2RH+k_WU2cbKNiCK}&__Gz8(PJd{JyO_7> zZE7AO&5cDzpidItu=U=Ptj?zMj&qQ4J^lHe}i8hryKmV}AGP~M% z!!G-l3Cgkf@xF}=pQ%bj5Cx&jJ<1ckXN(i(gvXPT)->L>MkwMW?vQL*WV)YnFDy*3 zzA2>=`8-Tf(meb1^uk-ANQ9Rluck6tOP1Zxem&I+I+{C%8o9Hj>xH5 zdX9ttVLp+!^gSELms+ukJx(RdkgT4!(p94G*56+n4R*JUr|t3J(vDh=`1g zijIzniH(bkkB?7CNJu;+@ZceVK9WIKsi|pc>FF7nnORxcIXStxxp{!{^YbwudEgXi zCObPj3s5GY3_$6CQj-(o;||#Ziu%eX_K+}OA|oTh!$Lzt4kgd><`)zc78Mm2mz0#2l~+_&*VZ?-v~_g#^g;mjc6YY7HaFJS)l^qk zRaIiBqN2R4w4|soKQ}uwE-Ez0-^1p`<|bFKtNz%Ab80v_$T@bB`PK^ zJ~1ifaMWPjn1N&PV0af56&4f#Q2Cg%lCnbxO-;>BO^po=jm@o{y|B@#*~QiM^|h4+ z)Z{1}+S}dT-P_j>9~uEP1cUapH`P`Y=Vl~p-Ml6ybV*1=LRvvdO+!;tQ$t-{T|-k# zN6*06%*xim`L4UCw~w!XKwxla1VDrl4F=Iy6{lrnX6NM>0$Bhm0sjClAgqF-(u$gf zmX2;n9~9a@02`i|S-k)B_1=dM@83M%-dtH+SX$e9^6K4(gM$xmpFdohf_KywXC{RE zJDcIG_SKZtbkFQy6H`)AQIHZHB_cgWdy0jPTR`}#yqbZfz3W$@0X)ET!a{-8B4gqc zftg`!EFmc+4Wsz9)Rffp%p8og3V@`5!ivkP>RP(`;KQS1V`Jlp>Di_Atw-ArHLN6{YpvEB0Rb>_RUBj~*PhP!!x4W}BJJ?>C z6CY%&z>YtX%%jzM|Lv>$vr~wXw!{mMNwRlYWUYf!D&dcgo)*5XXKra`q^qGMFDoOj ztfg&)>t)s1}scT~A8Td_uz#kLhfg)2=lM`Yh4?(7-r6d8jOUcO21Nds1IwAf2 zPzZEz61}`QGt^OAT9BJpRM|E(|KRDP1z1gbxQDso#bb*}oG;I7c>3xxR6TI?Fr((W zi2pof(_;{iNl3{p4f34)3@<<5g-cg&sjJoC6k&(S7dXZ01LP68e#LV2v z!6Ps%DkeHIG{D2@j*ShFqhCm5Ol(Xf@Do3bZv^=J2ZqI^!eEY@tcykqrenNGSTRde?35dx~@F)co zjlDWTh)+PpDWj=%TSh_8#!6M_%xQLBPL@+F+=2oe%nWBPNGj@@+Bmv-c{-XXiC;L& z%*4WRNk+}k)JRKFT9luQlVALXvWl{bwv}&0LK2u+Vk3k7f)Y#WN+Q%RO1UH#WJl=s)!G&ehien)wR z{mf}@86DLN1Y3K@7>^$%Juj^&ah95fRZvn&?7|s38an24?B^NDUXN54R`#u7ky6vp zoH)fuON{*mpPZI~}I{SB?X zkij)vYI=q<0y0Xs+bfqBBFWApeoRdrHPHav_xQo4wa24xQ;WJ*zwdfDKePISJQ3=Uqhz}&x^z7od zRpg~*WW+d6GoN^BEtc6C5>L$GV5;m}H;aaKz@{hqdWHvJJ>C6-kfw&=eQE|u+z)%( zlaS7;a1{kZnH5j*S@DqgsD$E*wD8pK`v>@hc&}$5{Y!5?JRL6y)Yo$iNzRGC*%zOvG$RvfN%E_lD{;ZzLIQCe~LoSrp2TISPd`Nc$d&M+J&KZ=D6 zLuJ+Okejv9>By znm(z_D$?01re%H$o*2JO&r0%etRW@2ak$=a%%Qj^*pF@C#lP;OAsI$;3>(KZ}^3stz%@cJ_^(#NcZG zLv~Rt&ma^!$uZXFC4V~$ts|a3UrWu&h2VF7Sno$RsZUdpp5i#ibefUsq=>qffqO`J zR_{Q}K&pCfxsmE4vg5h|`LNZ!qeRd8yGI6_$|}m@gl}eY+(~X2oLPPP9+#MkhLVhw z@csQw0{q?isihaVWXD;B7s6ID4+4XcfK3+2K7PETx0xlU1Z;zo;DF%Rq@=X`l9J;5ylTkk#PrJEk@q9{7TX29cUk3*^2036 z<0<5Yupz~!^d0*{t-D8XBrCB_Ulf(NdhPl(NiiWlPHvvF$M@$3XK@($_<66W>8Kgl zS!!vTxq8|vUlrjb+nz^d&!XXx(dHp2gnzay*{xf0xo^HqPCP=Cm1Qg89icugrfTTq z7Z9FR+tS=NFg-gtfkMx%KHk}W`0NYzo6lrNU}*t+xx^aLD)jWnK7PP{yn;hXe*D5s zePv-eM+c7<0F%KdIWq$H{liv|xh^KfPD#dwTQbYf9QS0`)?^=SXoM?7L; zB68~EG?e7zDJ^|XR$f6>T}4A%T|)q4K%BqV&`4ibM?*WmgoWB`0Bi;?jzW z>xL1vj*4L!*=b5AL+ea~Zr{B~KzE7fgIFa3^Mr3mguA{;d09hyO@2;(d2K^ORYgr*=g7kSo}hrt%Fc%Jfu+Uf3p7lZ zXp5&b`M-oZsRhM`-17=a$w5GFXrQ})_1&{)I9OBBe5_6}Jgt&3p=0LK8|m2S?@*jYXAB-B1|3ZwNWNJUa*ylLwDCw;pdSJi)=) z+ruLzC;IYau_`Dwr@XNYq**m>Etn(*WHOCS&8=;1EiJ9hfSSOy`i6RtR8^K1=4PfO z#$#j@;OBeKCo-!bGrhdCv!$h>w!XHewzjsWrnUy8UR4#PMa6|6Hv|$+PROq4nnF$A zNA+bF7>4Wt3 zLHi&*Js`R3gMiPT?(WVG@YCMf+St%kS6NY3RFIRIo|F(10aDx8xX9${ium--q2BJU zwvLYWj<&YemgdIBMu4rRvb?OUxVSJUCoQuDKC!fZe`9_DJ%4|F3jJVZQ=VOOqoYcNw2VjE|0tjtmXL;e$g%a2RZ$9}3_d zV(aZ_Z>a-mXIUwj{ql2jGC`u20W#Nyj>3rSiTP3ZzyP$bue}WnpuHW4w!W^urmDK4 zthBH&yBM*)_HgUL_S&PZjn`N>Uv@U0K6|ph@&ws6wXnR5oSs1==iVGS^6|;~0(xoZ z!~VzT(<779(}?kz+3A_-NyOMFps_K4>=4@EAbg-7(gPSZH#P%h*45Qkl~rY=gfQ^g*Y$GGXg9A{IpM%kNffS;%v!ko4y}K9MKR7yqMvu)5c62twCt-td*dP!p z5EW?I+S&pXS65wE+42G(_Xr*?K0eO7eH@%GPX=3I|vVsK!fA2tAo!Qp*SNLOb^TT5GWOHiGz`&~zetEO#xjE$YByx6s9%Pd%tBYv#9C`t@v;o8f;H;pAXIAFX^C;9T zYIX)SJBvcjAg8A$0ZmN+Ssf}6hzlgi;DC|gyIomrTL^}>+T@ChVh2sS=4 zI64G}4;;EgH?Z~bCG_HxH#5lbkumrPYNV?jGBHwmH@Fo6_@L)!(IDqvo(G?c^O)hS zEddPkbI4^BY;tiP$Y^19Zhn3qjh>$atbnutBp{{<0AXx=ba;GxbbM?A034s3KujT~ zK#wz16H^H2K!17F)FKiF!h%uIWO!tF2pHhd*!VaK)z?0Oo?D(BZ7Zp0?`dsl?0~ix zl#Q;e&QDLH7v|A(3&2#sMgVFCIW-AXgP57>fy^x;XBU^27nfF+078IuZf+I@%n4`= zV@en+2hstyG&~G!d}Iu`;>g6r1i&^qGYLS?HizfHAWbdp?d=2L;#WD2gXDf@c5bYH z65vLo`|6rIdb-+c3#uF2k*jDFh^c@w=Fzh#^!)rB3gDR-fQ}=_#yd-UfFaB;FD|cw zEtBQtrTK+LpkE-KDIgVq2fzTf4Y0rg9N=_dLIAVEAZ!?;!I8lc*f6vxuXUikp$*bq z+YX!tBgYBwivVVb(aS6vjb0jRXzl{;P?lbpl80Ks`19=S9KZn>A!lZ0fHI~>p##&? z@Y=fJp|Lsi+!ShUeSKwNad`>YHb!AHU>-O$7>uU@RKSEVGZP#bEwEkK0BisV3%FEw zZ+=o61ZF3;6oEYsz6FWcnHMgByt*wngd=l-r3gM)!LjHpC6GlIx~fy1z3Ph z%p3{|!woevGtxVXp6(wS>wquJ&yK_U`ll8*mgWE;VDG?KfuBu+nQ|Nq7+^Zo)({-P z0FDi&%l`fWct3mq4()_wWeh_H20P%8p1vNiSPqQd1 zkeUwU5|~vMmX;Ql7SO;4fw(af5(X7!IvNG@BXFHz00urZ00Yy_&}es0flE28xfedr z)7{b11s09!>R!+qc;EyO5CAnY3_NJIJ~gg?378eIHz3e&f&%6Z6bFnNsH$%O(huo{_6&4( z)oA;{M0gb1SzzydY0ps=c%?J0l7U08kQ^V6U2w;9_Ff%LyAz>U52pcmI9h%Z4kk8N% z3?ctoa(qM2fB{y|;fGySXegwuVfd{~0{m?#Wb8~AWY$89l zs3wJTeCMVTZwdb%=Zd0qlMjObqjjtDBFWK3qe=;B#|O$i$(}f$@V$ zaUPf(Y8EIAcs^$70K*vrF+e{I+S}XF3BZ8mwYt2#vZ%IPr|(7VU|(BjOJh}Wc}ex) zD0~8ay=qh0Q0= zpDcsF5QwqX8p!DI$oRw*ataA1#HmBMOab(mbqq{`z>WvNO4f_P1A?{ks*<9zoTB3F zva$f8FJVn!?yar_Hrou09uDaPt8iy$TU&E|ZE0C?UT0rLRZCNOPB|RtrY5Chw70(> z0=6FqU|<3P?O|YTgb$5PE^O~STpWY-!+<7gbE<%{_aGYD{8U<5$&!@!Jz zS3g4xsA+R<2FQ(RG$SCo+rqUX#ihXVeJ_TJXU=KR#6&LJoi(%l2VG`BT2*H@M0 z<>#hUG?i3=IHaZv=n2tS3K{4GD(~&;>O2e_fLDS;XEy{svphWr?QX9suJ7q@%*d$f z?CAnwSU+Y82JsId7+AWYP$-DHpnV`3>h13B>FR20ZK$g*FDuN?$;gb)&I-u#tru%- zX>O{k$uDSx_ILMob#%3~wSdsFzNRD(Bm@cBMFq8ORcYxhLwy6I{oOqvqy$_2ARMl5 zXaENg#?=F~b!|gqJ?*WvB^jCJP3<))QAy>k%`NSqGSLYlnVv2H9z+iyY6VegCm0Gi zwu95Q#(FSpu)$jZGLRS$xaXNHh1)a7JX1GnpL>u6~Li)VdxEl3Rt(h}q1!0v2Z zK}(s3M-2@0+R*`mTM%wz(g+M;iW49w0K3~2&7DnkwWYbKnWgnj<>~QJ>9zGW4Ir?` zME3x9T}@4O75D~@4?3v#p5F;RX%R6Nt8h?;_$l7!T{fu6RG z#)kT;+N#Q`vN8~NXD7r)M@NT;28Sj@+eNf=HvzeUn6{!AI;dQKYHgip`ROpT3>kMVYhDJsg%14S%Q;R1Of z$Z|2YFHH3ee1dugD7JudOHNK+W>#iWQUb^}g2Q~A!}YO+!-66bqp~VX%8GOIKpRk& zNli;nO-YK6_6KRVyKhiPaAbM`$O#JaFde5RVm91^{k=Usy}Ud;-S4_OIl0{n42c9~ zGEAK;IyNdi+(YY5QciMWGRS^GNiGJI?GB4AAb$oF1`2o}g^r1h2X&XEc#toL2Ko7U zdIdN;`UuSNdN>6{Mcq@~7Vvgc^9!4E2Lksxh0H!{#Sv~chaj)(yzxVZS(nAm6_ zk)QxyHzzx5OA8Bg6C(p%Z7m%G%r?BYpRdPVS7$fBfB-*x6VK?F@Q4t*?-pZ)v3?@*RNfZ zmc6N>uA!x?r>m!LU}$1#?_}@jKW*2XsF1` zpFe+&^~_mzZo#WE*RF_&UA-nH1vc}ffRKoogd}Ky z+3u55QC3jYG1S-5Hq^b&#Vsy(L+09bSs7`$8*(>q-@2`&sHk{LQCUS*O;ttd)(x5K zSFebQid+_x5)-?53E}-#!CYVEmX^7ZmX0PE@%5|HQsDN*3q0)Sj^JWr9bgd<6CWia zCZ(VtBOxIs#3P_Qb><8s9qozZl%yoYL_|jkiOH#Gj?*%nK68$PlM@tuE{ceXiUR=G zuFHwi;?W5Ru$^P);N;>FxFjSbBnUQ+FA54?625XpOaz?q^KkKSv9YnUoo8iY6Qrp~ zAd;35xNu2A=DLKWDDOGe)6A@APct#lQjrnjgN$xsxDNv6{n5$U#rYZ3^7_K`^xX2s z{iO*^xH&e1US3_8LC(yrKYNdbi%&#BO?!gw1Rbc6u%A17{`^_CbM&;Q7|007XlUt9 zF*32RvYt7^!hDMHG&nLcGBGnUoIF8u415I|DKQZVIrS;(zVikLoGdg9O!SPbj5K6~ z*dITA{P5w!?&HlRL_ZwtiUfv+1P1sAgoK5J#b@SbrzRwT$tI^TJ3c%jCJ}6fq~(Gs zB{w5IyRf=zWD32pv%B{h2Nw^YfZ!-8IT`seN@9F0ur-K{g-bv{Ktw`(^e8bYIRynd zImIzbG9rAiCvoHmF4pG{@7}(B@f!POHoe{&1;P6-UtYid@C=O@>27T409zzA1=$&K zf&QH58L26#S-DPA(s0Xa8-gt@MI8%Ax4U=rK~3-q&ly%;86!IjT|Fa1T`esW@2KSL z@|GUxAc!asD3F*n3@48z%*)kWApyQ$2%`}-|oJC`|j2D=KcGJCDTz5 zB90?qu%(SgOS9VL1(1Gp)Rbn%ga^A?*xH+DYH8k*k-E&qc0<)O*g{CeA*Hkt0);6$J?9B>)SiepKr}?;!-oR@`x$u*?I(of|&(KF)bTR#U(Y( z?d{DC4PZ&E2b({+>1jEobs*itWP>Av(9Xshumb}&$hE(%073(NUEa z}%k#OMGgr+Wc+&Gdoj6{JN4#Wn9ZS?kL39{)7m(mFWWU00EANVY;G zs;zZP=7yre8J^pTt?dPof&LD1)XgLprF;G z0TiQD<*z7Mq?}^YlB4|1(*ZX-8{3&!${0(OY%&N3Bcq-4+5K{oMeHYvxb*zoX}2s8GhCuPkP z38fAk&$tBVu-;U1?_qGr@9wJ#5jp5g7(5AIqNRWZ=JCBntV!O2QX z_k2Pp~)(E5~Vq%~fnFYP_v=tW(|a@yYSQuIj8X8ztFW#({wO` z(3YCA{Nx~GiE~s(o*_F+v$9Hi7GHmQ_h{`I5sTnu?$c+b?7|}aytAM1I>cqB#|F9C z>PpaUl?L1Ci<80f`pIN{l8PG)tzG?sg6`RA%Sl|lZG1O4E~gRkoPe61p62MgmC5PN z15&!vU^%%caz#Xdo%!T(n&T&#*#$&I_*p2hof8qbDNfw94olAMGqoj0g)0a#j;!p{2lo zInmrOvPa7&t@aKJpO}({mX;RGxa@qFghhle3xj1!T!@SD*in2UYGy7luisSFH8L|Z z2J5AUh6Z@mL|%2cFrJ@ID8cc%;fhxKo!}-#6U|) z`qCNlx5)O&vf7URA$V79ZhWw(y@ipkmbS4|a8hv-WO!_J5Zcq(1sR@M-+A+X@Ab~3 z2iwoUT)DG}o*Ws1_qA7LMz~p6-Ak+)e+mjebPT+_e1f9aZmR2>+d5%*dU?2lP{UAL zP4T9@{7ofw9V2t=JNBS*;^^$^;R662!m&0tG1O7LAY%HlYIrvyvl@a}0?F*!0%p5z?a5oPIe4)9XlZ(UY1gYYg^kpckbBP zgQ&>a+0oA0%uq*NQU02k02>22_M^$}+Oo2m)_w$fb$x9SIou1(x)_uMN-L`C8e6-d zBQxvIKHw4(lMvx!z1l>L4h|s}w)b!djuPU&T^p*)hztylEAHFCp+3VWc1=z}MHSQw z!3#**dIl!uR<`y|;4LXYAP97Fu(!KoYl9(MfX2ZQl#!eq?0}~9G?e5dg?L!$$Z%h; zj&;?RFoJM)a{LO& z+UhG=ACi@YnF)yXRBy{ki3#$YXQn$weB{fUC!1i+90O}4*j5=F83*rXZEU~X#|Ex) zoSx~-Id)DiE>4c~tfx<%pr#-p#H{w8J{^3)#v>pmr#{Jij!QsT;=2586?H8gOKTep z1Tc7K7Z+Do*SlW{`~@m&0F;xHBdELC+uPZJQjLv`wUwoXxtWQvp}wAumWCP#{uFM= zN`qRg_!Tix5ne?^!GLS^(yH5*SCLt{=>j9L+gY5!1=4~{DkJ}FZVFg`oZbGV|K{oThBiu z`0fvgI7a=yqF)QOudi1^9DG;PZ{hrWa72pvEWA$ItBJOm>C zt&d-i=LbZ1veh-cBXZo4T6-;YPL(JzdaK85OvoC#Z z{wv1cp#1dlo#Mm~AOB7?hy6nUh~6IYLn{P8{$QYAhXeUpeLu+eJ6(Op_M3`+h3A`; z0MFiUSbotIP|uI@_#-qJkXJx`LmcD3Uxo715saz#>nMK1_!n{gRz?^V{3M^lu6lcZ znz1lGilIM{%(q@KABSx~%ft6`0AWn*=SP17=g@+Gd-d?jVQ;-X-#qP4ec>zrACBPh z!!9I#npgm^U*rD+#(#7f^aTd=gABgG{4M|A@8huD?+Wn`+W+SAchZvV>%)i+^eFxf z)c39bP^>?6`3?BtHSh#D{SC*zd_e*V6_>m!fl)eUTK~(>{ifkR1LBv?z*xRpC?Nj? zp5FlcUtfUyG>!F1{IC1?*FJbS6#_^7uMp2wDXDLx`)`1Q0fYH^gMY2S|C!#te%Zo5 z)5E{^+5ePu{zxZ(bp2mD>hF6yG>-q27=9eqSL66Xc&^ZW7qjpxs``?q}lTt0u_{Zk42Z9ac4p8qoW{KGw| ze>2`cUBABVr~S2$KUKqDy@_G8R{z<%Uw5^? zJN^LYhr9pRKo6OTcY`7&hJFL=>jm)c#~)Nn{z-V>^ZSm&*E-GDV{fn6;d>{5u3)OE z-wH_Int&_azl-~OU_W#DV=;dl=TDu3Zb32Q@c5O!)f9d@J-mat_Iq^L=9=Z_r*Vz!2biFXm*!)Ud);UTO|zJMYA#aWLuMMd$Mhvo^0Ebak4vUvTaYc?a8k1 z{Tbi-5qn?vz4pVy|1au#vednv2Xm%9tJRwCC5i}I53NclY)o<@aS?OCn8~Qm!zv2* zn6kp^6HwOD5!6{-DZ&E*l0KTY<%+s+!ahq^@-riuM2ifFM&NKBSfNa39VVJr3s19K zAyjw)q3>R+g8uPMu@a~cb!FBLQd>#5q(WX4L3_@+rX#nYEtEG)v=s=)xj7%d^g_?z~&5LB3#J-l36F9Ba ziT4GAWap4@j1S_B#RDc+vzOV%?UFwU+9&NWk+&PylkwuRZtB_$&Pn%pSvd_w+ZY2< z1~XijKTbByu+zN_$`~Srva73CXWE2k6lvL?HgswEo0c{tQ6NQAZEMt1TRw?OJQA!B#|}kNS=w=9iLr!Fk$t zU=+zSW4{D=3PVziT;tL`A%Vg2*-lGkBv7C1)1gjq0B6Qh-QArBQk$${0O6f27H!p% z?Gf)05?mWCFKNbtPtw^zu@`>~;aHj*;S^_pX4h>kn^*~=K?Qmq5Pse4QbK0`nufvp zgFPa|n)WI@M~XQZFn(z9Ntim)6*QWpGKmyWGa$lMlF1QS&z37=(<6yN-&C_(zK)mE+Ye@2 z0(ZSZOF0=0DX~mcTz6gK@5XW8>Yd`k($Nj4Dr@J8s;S?ud3*7u9$4X%F}1;}CSV#? z@lGwEwrWHegpwQJIMr;hdK>Gv@Q=mV)o`qt;-LxBx}#ZYA|dgf^?mapRkK@eAX=fT z9FmUrLZ=e>W?#1xG^8m;sQ}n&h`Z8wCB?ChQtsQOA|H}M;)dQL^Kq}Hlyil}Xg-Ot z**BF+K18y>xZ;R@h?6ohXP6OP-B|ESAF%yFkPYa8NvGX5bF>@jB}0el{)z~RB?V@& zVsH#eB%}zptK`=o=7dD^LgP@aB)tN+3>L7R;8Ac{Fvlg5>3ddX?KE;1u9R9qU~<_Z z54s8w$$K;}NZs5JbjCa9fd)#*s~bh%>9~*yC*;hqO&f{C7n==k*sA6#b8w`@;j%~I zfs>s&wGMHYeDc}gyIy#mRBxJbS~6@*qA)NGmW9ABNUYeiZDtcvyZAIA5fK5i;TLbQ zBKJ}fN`}{v|B4RWgG4jdhcZjNaZ6=sS zY2nK9WtOTQ8Fpc5@F5YC(nWAJYBwp8Qz$(+p+N1U!^qq9(5v5KxIELWKD>B1+<|$m z^@eL(gX)#EqRr3#1t+Kv^3kw+PS)TMln*8TCs_}ci=G)^XbdH-aUd&Ci{@Ld4FG5* z$GXq7zs%&RK*4f+p-0E3hurJ^o)ki8w1L~`tO|5>U3SyG5}ip2`(B-ExUH23ztt-6 z=-{yOYuxQhN*(Y3y_NaOyY?jA@r3Hi>qNIs1Fs_XvOtYn8V&{;oRn}j-5FlPs!xh> z4w?v<+Q9BA)0W)eS!FOi3%LLPRslf^~Rb*7jR(Q)P| zDhq|{Em&vCt2nf`SLsRSHsmZT;1qwZ&}EyX&huS^;gFI($egCCh_B9Ar@&cAb=s3! zz-BO`DV~c=p^|Xy)xm(^4;9iSdmlOwViUZ#QUjnZpHrvjaht1iS~^OJsUfRDSEgIs z#1f9GH1K;fb1ezvMSMEuUIHk#H0Iu4xdDruRyfO^J-cOUub4TZ46AgD9es)~*0MJ1 zAiWQGdIhbe=T4-*b?S6XFDX)^_2#L9(-)i-6s}ZXUvqTD0v_uG6i*c0?sjvRQR^j+ znvVq@=Sp}QvPRi8I)kLm>tKEBD6ukPl&3a5E-i8CdTYzCSd&l&FSD!UPSj+T*_u;s z-c1T*hQJxAEXvOgPGWsah4WY=Qd{m0VQJfuK@%6M<#W;eZ@Oe5Qufja~bIj3XQ&GcjJ(`vD~QYrEq@Z+*S zq&aegQBemkFPxm&WFi}@5iMbAL_&1S+ot!*CK+=u8dt)Z>(G2+_|dLre5q($fe+(@ z>zext4ao1v>N)`=M z^8B)0MaepLZfTI|IPMcsPKkM zdqVJheM%o5U2SOU5=2uEjEU$&*T`A~YU}ZKX@M^0z1+!JP~)A+X1!!9Gs^aHC+a)K z!j(odFwN#C>e8}d&+xE9v4>uhP)9ojR=NArrK$}kw2D>nHSzrX9=s{y`PezxyXLzl z@9BQY4YP)8<(v&voGLwVYjOsH19mMG7ws>SX=g61PcfoQUjze{AWnnDr4z2Zg|yh1 zKKs!V1AmR9L@jwH>_eXa6+2M$5xN1_)I-IE3-WF3e!HW_T;~CTv4)tIh}F>#Q%zt? zmrv$9SPd46?yYiZu|Y5%ue?4J8kyi_XH!YNWkCRZ#XOXzs$`T$w+}%zVa?gmuEk&T zaVEV^r5(_1A(AviZ zFMLo1)5O{dEoi2DlN2iT?`tVwC_kB)+Td-iAd#v5}(bhpyG#!!VSQm*yxHM`SB6T5ce#-1pG9;d_>8 z(S&Yoy(>;&n1AhM1dz6HELr#}1%A}a$<@h6`RwJe6sh>R%9m<77nLRlrF5T5BNmPh zW8Hy!FH8`N6TEyo5xqk5P=?WkKfEA>T{?7M-Dw#hhO&l*EizIs-*+Mp2yk+0jx@S> zxjT8|%PtSNg3291LX+`1L1JNp;@Y&lhab#F@sJjl>}k1Ji%s*%&Elii&Fi$qS7yK! z%Qz>3U4rE^dM-^y(GVxe)}ZIDy)`tdOi-bQp&nH8R!#X`7YU|Cb0Fp1um%hwS;U>? z&R8ta-(Dow(j?qGPa5OW*LMGl>{ZE&znn4OY}5d?Oed9ETCl}kjl?>u?w>}De9 zzOIWp%}b!|_G~s#87e*#JJ;_hT?@vY=W1SAKQPaDbyS{1aEG+$fKkp#l)ObiCa(9O zo8jbjj_`iQXU#Qo0cCpOV+So9%sgG$rK7Cm9yP0SO~^J;`l%gGCdY{EzH@UXTZ&_2 z)-!~Uc%DTXPDqNfeJOznS*H7U7wt3;c|E*dU%qf#z}YseULO|8#+_uQGP{0CJ78;L zlPs`uH7R&qt9Ps8W+6I0jCWd9O9MYMLWZT)D{ND56O!3O=!t%;GZ`+|RT+y-G`Z2t zTA8hzq-1vr735>jWGtg-qk9?@mBZjb($XzyYcvl+F5nqG?4y3|qcd&yf1DzKV`p)^ z9>7DO7xOI%v%K=KFG^}oKtu|gaAy$*zv|8CLx?mv4}W5k2EYq`joJ9HF}>uUWSD05 zIL9%iFZjYKNN?0CGk5~d{BUlY$4g$u>aojB-g+9IkJ_f>Bo{Sgm>a9g458J1ep8#pbY3@h!FX!k->$BxlVk9247HG_%bRhArG`JUF*XKeHxktm0_xY(ipd)W=dsN zb{6zbrw=#mRO5yhaY7SGGT=h7+rp|Wm#t%yx%_pTa;QWiBtN}bh3?0?wQoo>T-dxv z&w~@H@@Rxy7ftrjbkVMJ)Byyvxf+>ss9dFcqZI*%ZGos3H9N{+2LjsQKD0YdVu97h zWmu{1V$sKvsAKt?rFlbxvdG=eQ_HO|0c(Gb#Vi_~#rwViRy&hLfCr5&*NV$9I_puR zy9wS#R3&?R=iYbFv$fYyAR51>kWUHXWNIy6Y#2r&8}%^Tix9Q@BNrsD zk*l?=CTPf>!RT{upDI;Hn6kA3eSZ6<-z94*3F?y;=d8>V5KH2ct$nHxn@;bP%76z| zRH90pAggo^otZBO6>aPZG!w+?Ed8uMRFj~XU0&E1k8C@8FCWDo3g}899H+o5cafou zJ5d``+Q*27aDB}{QuBJ($(X;@QT0|&T3}Zt=i}kTvs1_n*td8e4uisyJgioJ)2AlO zTD}GFyHVcOMja*J`+Qf*GvNm-pk6c5JzlOXNE5MXHmR=nDDa&WCG_!#sRJ{^-JC2& zJh=%?+_0p(LcfZw?-wim@izB5m!Xfpot$!d$TlJBl0lr~F^&6HbSDI!n3?9bVDZ{n zY|=`6TO9+m%@}i-x)<1~JNM_#UI+>UHJP>SbMaPBS3W-18xu&#mNGky;U&`2QTz?0 zNDvH$AUp^{rF|W`Muwy=b+xU~miwuo8`g`FFrtL7hMZN@G1maT*bwH`*nb_n0QD13RpW)DZC%FiV8oO-C-CSCc`C zTir>hII>}^4GQ|c3;mc z2*dH#ve{rCXJ+KUHe6J2M{UE4FHx!_gsH(8&6+xmk|r{+%fq=$aYxsp;_RNU7RK&W zZ0>f5DjR;}_4;ykQ<&|8_?B8Qa&_ixvyddPdmZqYHra^;$KlSHv;-We-(4K$RmC#b zGeDkrjg0go*nWBzO?FKSV{`13hoF~BBHkRN+OlD#<&4tg;)pTQro!K>f%A^;p`6*CcGvg7;RXWAAI0$(iXJSML zywc`rwtuPQ+G9O1<=g^#p0+s0%^g*4@*JizRj62jjH&~FBpjZ4+UoE<|}c% zb&^(2ae{eP*1@3}2<;SaBsK}{H3zDIaHJ;@t+HcCJhabX<#k($v`4Q2&s7sP*m^rjYZ?XS~PtIF(V;nMmSmC$uvaxo9$b#8IBE zDjzX%xPs&*lJn5_MheNmV7ZP|ciQ{<&8cfjK z6C>EgV?BG8nBuYMfhxvO2$#Uh@PJ;xVQl@Kq&YsIM)rZ@Z9+I@IV*h?W}EabTGDj? zQSrk-W?!CmIw6ak(MQCrR7FdmP2tST;jFjG%QxrV@Cc99Yw;M*sJfmdm*xb@;kCF% z`$(pU(UYr^nmBVsLm@;i6`I9CDTkMzUL)%reqO0urVUOl^;nUd%DWcP?3PI9`*zH) zUd8s+U*o2cwRPK1Ue^3+krtyq5O@6VnK9DGP}&E#R`Ky&Zk zn!K2b=7$wXbHJlgRM!c_eaaQh0dw1ouZ}y2m-UM`#R*Igcj0=a(&m-aHaY_bgs&x#HYaO7DK0f7u91R4%l&wlt>}w>379?2+Lsgc^K-M| z&n|SujG)~1Jt^A@Tk~C9QZZ;d@QfVJyL^3=o)ZR$wNi2&&H(w#VtTnPqg3Zfm&+h& z&1KuK?SMz-1fiqfTPLHmp<~#Tc`RNh{sTUqCkLVjB@7@|4$BLXtUt5oE{=6I_`ieq z8V>Y{tpBAVH^XQPRvIJ>K;#m>BQRj!oULI>OS7?ZmFQ8aiAUMKW$P-O}JM5G~CPkb0 z$&jgjA_}kC?lIA(fhcM<9*b%10_VN~sK5Hc7@!%&(?u{8RRVmlgyM&{i!nY1PafZH zmvL>QrIx1 zt;N!{8OB$MsJt|%$w7Mknq2y)Yp>MGH0{C4GG-2l4^(4|@tH+6bgVQfXX-8eB<>aK zMRI?@jYEL^Nvy)qqK+`Gc|P#sg_!t(SMR&XpS#425+%GOcV5Or@$4ZyK6a^(r5qwp z*?Lg^Y#=}B{%S;k)80}u6Pc3$9H9YvWX$6CHjS7YRcuL&8;t>u5|`960&&BO0|`&P&1pT*G#T76_gAu16uKG|4{ej>!~Vh`4}z0__NVi&pLQy3oU#=SW< zvLB1NPc+7sfGu{#zc`$-^?@gJWBn6eN@nbSz&u{8J%Hf`i-ngKGL2@QM z2+G#mhSqPfBcsmJilVNSpiIkcN~SshJkv!Tit@C3`tvZ_iSJTRhX{o?w=88pR zE{!-rIv1gpBphWX%VNcPbSf~+7Yb7Gw z_m)57;0QxKcx}wBPklPxG!t08SDF5!lU!U?KgH5;nm1E%xI-$eco{Mm zaN1l|S@=qtVJ5&CS}Jw)A5gCHk;-#M=Eq9rXUq01NvrA$(}DzEb?`7Y%Qtn1^w^Ge zJWMYzoC*4zHzK}62rTl)zIbzWNjs34K@kjk#<@YeMQ@ckeQJo(ux2Cl5wAjBhQ*xq z)run(@+RcpZkBHko4p@vT@pz)WM&gp(=ZLjvt3~G*}gsucleȟJL^{h}@0=$v6 zX?WpRNcqS<;?m&6G^EdBlfo)aNyMYfa|Q(J#!rpnWPZyMqdu`3(zts*q4szm;uX9k z70VdLUg&vbm&U}}sRLz)4<;GT@=GPPv3L6YMw@yVeeKvA6v2&28*b&giIG6 zOZ2STOGpBMGq&9JEI5>C5$qT`fc?-h)blJ+sx?OE#swh* z&MwWG6eJ`Xw1cyE(O$o@KN(}Wo`>&%AVY1#U#*fLn7qSV)XJUAj+X)S=!dm6!H6Jw z;EE!!NAz%pPmLO-d_)%veqqjbdksd=ZO+j(>p`#Ee2YoMWC(@NGX}?&7brTKszR~F zWZSwLNGz5uIZD$>Be)yk7GV zfhOp7-Vz-%4^6XB6kcFsuAK^7(fL?9VESvM>$&MF_6fcALXQMwl2K+2m;^Ad$%L`< zrv-Wsg+y&Dp?viO4D2w7JeToN&DlK*w*eFibA($7k_yAoH{9K7~k`%aQu!0?&USXb~GIay8s=eieTH4qXkm~c_c)>2^*p24^S zW4(#{@Vb7bx2aPcPUEMAX`pve^u2Ps3U5EHKi$%LjVbmdJI1jE=zQd}NSs27UV?|N zfxfpCwIwOM5oO9o%DEMjTkh>UbxF8_uEaofZ)6F_^SIcRm6N~p1!Y>0uOAyE z!T4+!ig;!0)2?1b-ivi>%hSzTwzqq>p2L?VHk++D4>B1-4Im7^@`|}_Uf?{#4yS|K ztf4bpZ%qj7nIp*E%?MmG5|#`FPwIrYqK*B+7SCIoL8*-4I$R+zrT8h=<)4#j&OMui zGJZ&va&!*oT6wJ$g`=}Kn<}K&bdp_k+LK)i*ylN#@q0s0x!$hU&O-b+@tK6Vy9+li zg2$eS>y0Lr1l`}zc3g7fM*QS8iCzc*>|-^*WLlh$JNrNAI6bncCOAmQBIv<(3TS1)dG1ivRYGS>AVEBt8tK{c0w#~7Wk>JFWom0Ni>YFJFV}fn@U7cmulWAQ9 zy>8p5I-g5% zpi$t6!Dhd^d8{~fTj_+Jd*fzB-^t&LA3KmuXEwTQf84?=tis(7xzpP}XP#r7?!k&k z&U(|xZD}lXWDRlWq^2x?eJ6L4cL5$_xfLrNswxN1qf{WbcLkdKgd&EQPzl6mOGV#? z%*Ze%43oaANl?Nr?nb_1rypllXQ;WB54G9|33(Y#S$?b7X{|1-MYg@qc8uQ42O(~- z)=%QSxQP16bD14gvE_|FfWR*ekc-Qt<7*e%ukehl2U%>odlWf% zue8)qJElZ3*Bm$zX6t}rYp2O=b#A>ZJejtV3ES@X5xf9*K#0F@yj|w3A%4CTkxq;3 zMh2&Jqg%*P$vtLsa{C22K;}2qlWcK{Z82BRs*E#1I*)f8{|L2m)`(eN_c2pm?ZS-t z39ELS_h{Q9eyr*jhvM)P4=${McaVu&Y=@Ol-(W5hb84mNc?cA-j78^c@5@EWsBmN<00WT^Gip!1;Tz4TeFV!C^#hep&d$B*IIP5JgD zCbaojyi?s(^7HusCmV!FjI4tzLD+Fd2Wh|1STLyXhBNLqGRz8g_lR-%RHH^?2M!8a zO7zS^(rel%VN?%=KtHF$RZ$>Y(MB5GJ4|%Uk6-0_^kuWGJ-F%`-m|G`na_Zv4Ww0f z5p`12CurH~We`x4BIU>wIx7Mw(n1+$S-e@WcJhE+hU!BjpA-yU1JBwmV>&6MC$%`M zq=jc!W!2Ceeg3WwB=9MXQt=MXnPPb=a?vFv4SwokG0+P!9D@#JPxs1^{agfaVLlE6 zn%`Hf0I{G{2t9JJC;fs^c1a1X?&XO-S*?M`GPIA>z`;iTr?0!i2Z-948-fR~rODhy zDhdtP^poh*tdV&tKw0<*V4DiZ%UM9P8%MlRM4f%bSwRF-PTaguxhydvIwK^d)?ZV! znCT4T+h_1s74AG`u;NR4_$#zIRflzCm}QB&TjWZY3;piCNe4~NFg2aZXUoQ$vf3hd zJAs84RIhMyC#L0;rcX%Fx)E6j2Z?B%)yepNRUK?ch?7{qX8>iTz3X|jFa#gir{xB4 zfib=fVg9zn_PgmehvA+*DdsL3UvCKSP3eVrYO8-P`2r$*zWc4;gkX5G)Ef7s3fkv= zOnV;sX0ng!_t6c#X?BL>W)yvI(N^a~+qlxR5zC zM#ZehHbuQfIe&-kdzm@Bb$K8Tk zI$-D~SH-@=77iz%FTN5L zJp1HSCrwdq5d*zoV!*$@v?T9och^w@2B$D&{ejv7{rh zTvVq?W%h)r-Zn7aq+3V~)mifo4eOj-9iE@jIltyAUhp%qLRD!~F8Qrv@xr0tVndd% zZnGB{^n#n?diONS7EaJGzjAQ6MIh9OA*5ycj4E)Q!*ueXT!NDUVMDR$eT3Q+HMzzV zwol!UMc^Aa_bqlR(!wC0d{&5W0c?)j1*KY^=(JFxY;;0}-)ubgq1A*RQ&i2Sp%}xN zH=1TuW%%+6u>IenB$+v#alX{^%vX$cnlx%7g0v;?1R=H46=`SVNv6<>=QLl1k(3%6 z@Taq{zHF}m<+#ToWVBJ1NcKr4o>_O|6*wT0HDw``Lq$V!8yaYIXJ$y3lcphTv<=7|M1lRoG|oOY}>RfLaWng19}Y#Imz<75j2X4 z@>DcyW^n4Gho_!jPzJduS}Nn=BJw1U=I;__;`( MP}FKg_3l@t$%k?m1Ss`Vk3s zl!CX)CE~8O)csf^`UBKTos}w6fIg22Se*qg^JVZ?4EY)j-;4QNkKRvb3`Z`_eyc$@ zwFpr&jkrA=k|KKph&bDD_16pGmw6>|Za2*huzI(LL1~l-F1W$|%0|e36XN2nE9Qdq zqAAcXh^F2fQKR4McqbFojg9PDiGi_o5OHu`k6zQ_vF}YEjtt##94!w@WmYYoaT>e9 zj_`)J1hGg&yFPGl8zLM;RNRu#sboX4v|`_;vWuTAnQg zVCMa)2Cf&V;rN4{%QgmkglbU+L1u4KP0)d&@J#N=#;W~pa>f>0nIu{{Gt;HL%mr-R zdVXGy! zW6}S_jPZY2fQB2;xg&2`>rTfP?JN*Yk{iV5o9*$arY|^0l1KK)yMZRfsW>kadg>8U zqbu)8C%1`=b5(aiK{rm!{Cgg9@V7VEr&;Bv`LqH@HHC(jGEKw!(T{LgzXnc?6xQXR zd)4`f&Va>uyx&=s{Ck0huEngMIX46PI`3?i98BU^^AG)XSA?RPk3!_gH-Ag%;GYHX zOoOXlUdh1M#~)D@zBR7SH2!Jv_tK&rY1MvvGk%f7LSHqnZac2mpF02Wek(BPXE7>^ z_WSC#kKQ$=Vk`+$k?YKEUrPRKRU(*$2jCu4n*(S{w2-13(Fgrc6E!=%f7_B zHK#>SDY{@ANogQ97-g@x19C!F!?sf&$P*Y*INaPi29gAvep0k+%)PN)BTDqXB+l_$ z@|UE4{R%@hNBh#1VP;7HmlkzyBh0h{=~0*0tSEcE4)|CsM4qyNw`#%!9BQDcqO zSLOsXqd0%V_v)PRXAKxfZQ%Ft*LG?D6* znla2EXR9V!2Ez3g4@3Hm7-xkrs8O&AaQI9!s^fF;;rZN|OP}%T9)SMiDrAGMYn3?)duA9H1{)L3$mQ_=IHJJF> zSkL`%rw2b7>F50T{A_#QvzE(+QnSbG=P6_k|BZ*9BWwO2I(h)aJUVaWEdUWgn?zF5 zA^4AZpqobh(-$m7G{*xV0y2K>ymOU~=^-8qC$`sJUMBo+sv~UQ@IBDw`{_3F2yZVF z*`U~wFn1hns$&qDWGG?KA-uAf5PAAf-+Ss_g`L~Vs#vP>8qrT)<_E$Za?!W&V&ksE_(Nt+1-1uXt^V&LgoZ$G0gnalC@ijNbyVk6e;1B z7tuNA32Um#W3k?=mSHOU+>2cc%Ag_iFv1ZwRw6;y>Kns&HKWdC0?}HuR ze24&NfCBu>J?1NnGctd948q?AL|eWruek@0jD(zyJ$XC{qN;6#2DBvoiE#aS1+dj$ zf&6rzf*p#g`yILP$^Dy0SRAvymVrk~dZWMP%j!KgD0@2-Iai3!iM~q6GX;yE$)daI z@UR~%H4kb3T(QADUU~oIEj59mVWfqHjTuqa#PXQ8$O6Atph}*2L!QIK(RUf}e|eRh&6cEa!g~eqd$?lj`0_{9NwJ+LaCk z__zU}e6a2(Ip~{MA1%a>;gENmKgJGs)E9F9yr&B>%w<)E1`tG5{nssVVBcazcE2w!6q`py|2~{~_#Kt$ubszOpkFZ#K z;LENUM$dUWu~{>hY>Iu??FC-YQH85_M%{AIYnnXxKhzH9Cn-=81bHuLy&PzYD+5WxFlhUT*-W%B{;G};a4&;EzOVtHc# zzh_xZk1EI|-Gv1b8Hcg?taG3%G7F9Q-}<-bfa8yXocVo&-z=7#8{gIN{aR_QjuPoQ z{9dT@LOoR(;^tc@5}ceHHFrf^qn>{55k=_eaNDwOM|G_yK71b((uBxjII0gDM8`%e zi_3-zWxj(w;v{HP;CyFz4>knbA`ge9qW{JaW@Du9c|u`KzJ9$Yy>ytnDWu!uiKdk$w{2cbi) ze+E1k!y{G>yG8+6_%FpHqwyU;U&D!i8qndbj1ZYU;L}SG0b~FOxKhTK`g;FEG;w$* z=ypl$2$*&PiapN`tkzTSPeQCh{3R`l2>4a2woP|prG9{E@)4;dJ9fV-H%4P6&1Zl^ zOL`p>b5W4zVx&|gIGoh>n`ifr4m;cuW{F!yW#bUSzXDNKGnzxD@Fv_626XCz^$Wb& zg1p^EMOeNNzG$`wUWrIdD2ZQWe~_MCAJW7kJn9dN@{-V^yS9Yhq$%iF=Vq9VQDY5F zS0Lhhe7I_kCx{cpwNIJb9~)0To-JpE_s9!)8UHDb{uj@+;v}u6#N>ItlS+xI6R;4K zJp2RUt@q6IK&KPvas8Hqt*aeVM#O!$E01hrDXb(|cgaw5qDUB8TprGgZI}levaNj22_dObo&^3* z14#08<;2~Q=^qEiJucx7-OwpjX|z9sbN?V6{DzAXUGAlQW2IO>ILE(jpp4*UPJEIY zgffNEeomn2m@z6>AkK~YDVdj-%Yc6AyHt-P%b8M-Hu^ctp`?i(7?LiYt5tKsI*o`a zio8{MuH($JQJDEbc0B-Uz+N}@k@BoUXuLGs@gS=SN+_(YD~g#wnn05)@f@pCUkk}V zN4=CZMquuO`P`s>FQocUMVyc%G0DVqmZ&}TyLue73gQ$)L=1euRkN_tSUqCdaZ4kE z^VbL^hrfO^Pv8}SmS_;lHBK|@O@6HOAcp}KpZ}(*uWdp~Akf1{AV4C}KANXgGb~2< z!Bqv-_XAjj{+D?`JsxZG*+{W90_B&V^h<(o`r`9dWbMBFl@i=#(?A+jGICp(D9nVCEpTo7{!bQ1COI@Wj`f*0ek z%l*Ulk%&CjN-}*CXmw1o$ZvYU|i~soAa9+Qr~2-tL$E4fReGw`A^7l%8H)h;ZX5mbIcEk&hluBm| zrDsr~J8zAtl$AS?)Fk7ovbNC4Qw5!9Sp#Vq+%%!AULfIth4}|hcDZ8FE3;r!+D|eR z@U+z3Yo2Pr8dBP6KBh_LIc1&7#Y_5?I_7=WMp zLx?k_1fg93U&N5Msl+l$C-D`Gh?5x}A(T!T2;846;F9Uq_xVa<@(shupz$~s@?m12 zeM-zu2-{`OtY&-yN)nF67O#l5(zOUasv=KWD1yYLksOYGM)K$WUC3OeJ^-uyhHtO1 zc;KfF6(qjf z0?wV}Z=NcS_Y2|*%*dLZ4+@mz_I!K>G?7O73R;zsWc-RFBbQ6DX7UlyED24}EW*;N z;KwrB*-36jbmBR32|C7lC|&m)D&+Bc`QJ30b=bO+GP>6lqI3}w+cP@5mc0AkbNlFj z^|YbnNVo5WFB#;)cCpp|wJ^Q1Mi>oM#L|E8wUX|Me3W7Xm`9z~dFZ!Fa-y7^mzF8l z8Bsg};Mb4_YPdx*#c!<2NSshUE&p7-hu}`WoM8a|N{sy^4=0Nfks>L*HhVTh2LjPZ zh*2GjJ8BIdcwYxLK>yn91wdckr@B@e7uXSn?MP+Q>8Rf#?=xcEZSVx5S1RT@XF2PAk&K{b2F_7thzs&ct#rwm1b!%q386 z!eV5QIB-3es!FK4)?@_O-0!9X9$sa$Dm|PFeaR+ymOZe$shx3*6m6zhDi~gpZrrB0 zRSw&ZscD%?bYkGl=sghU5BE8pg==t3euEH!G%3MtpAq&aL*4%^uJPsGn)>I*ce9(R z14u7^mk1Sl*YdZ~P2|YV=@&SV#RBd(g>#dP(+ck}k>VSW{!!FxApV+q#1wJ0xtHVg&AokbJTJ?;G&sRQh|Ba?n6 zMM~+!Nn#olqGrqVYl*i6kv$GFI!l3?;o811mxBPHEH>~{p-MNM< zX7%^cO13%UQ+#A{9d}K0Nm@L{{U?C6NQg*3((hI7#ZO#ji@}W-F!VDeD_h+Gzf2d% zDf=SzN6dkOTyOhAQP|r1MNgX_tE;b#fP#&^)V@^Wcua}@=5X5O$h7eSB3m4W2rJQ} zJ1NA#sh>gZnQy2RMnM3Ee#e54+`>09VAt1qSO9OMTOsGwL4)Y<)AxbhbErcxDVeK=*&%m203Pjh0=%3Y}rWWmeI*RVG}02!)+Ir6VS59vZ(agg~>bD4U=5d0&gUK*2 zluzRj>!5KpG_(aIf>HM5tKB)RV}YO;(ihwFr$)RdUZo85rd_Yzv%f(ebzxb2!lo z6&}QrH$Sk-nrovm`b6L5Gntij%F+$pE~Cu;mtSY^gkHD(9<~7nP~$MvF)fhvb40s( zU0r{lI!=9Y7YVkyGVuA~+b0Nj4znd)$&$5RRWSj@21Ea5p#di)j0qrD-d$E(Q=iV<@5f68NTWC>Y=|w*+eHsP^65;$f7+WhX=ZRHJ{S9|r7$s} zbKIf}QJc!&Uoa;7Xm?#=LyYbGC4X{e8c-ns3lcWD4rrP@bG`1)F;Qe$&x7v4DN*TK zdKj30X)i3m-t2ugWU}Wnl(_#U`kuRcM0WXU#(}PpSPPFsp-4->a7)+x}ERW4?5GeQFNc|m4>3I z;9VJlB(`X%^Oif+LJ1F}$!6<&3MD zuUk8dGC+=8Rp}W%gILrDzz^Pzl&+<9V9s%RcnFS+y@WD8)y5vbVZwhF@*jMp9%qK# zoUAY{2>-gQN4v)!1z2HWBY7L&E2X2=>`mcQtWr1)5b^h zPU`uB(J}7Ap9PZKejW=K8s9w>=qDYg-P}FYf3Ucaw4pdb7(2=A%DB@joz=GfA@`J4 zFq&U~2Lo^9UcRx!svB+qmD|*DIpu-dLJ!~VFIylb;XX6;`c6Wg()f^ZI3y*`Kix(0}9SUg?zWMri{i4c{nJW80qc zT7tpvE6hH--xr0uSV|8OBe>Sx4&-f3#ZIv5^chcO5qp1JWemEoXdI}u#GvDHF)#Ph*9Bu+nmn?m7Yj^+3q41X_Z=cS>AG^o>OK$})yQnOM@w z&1J>2PVj4jDl)eh!cOf{s57}JwjpLuq%M>@un-YH$N`o?zk{6vW!H+WDTiUQRiD9L z%l$;g7vy35hqc3>s9vbz=qG7SDZW!%2kKXhM9@P6;m?p#9IICA^l(+Hu3P4B&B`l3 z@3`VSDe{70hiq%>nq)**Vcjo^ih_2 zX5TTLwx4_5g4jn6fZ1K!dA8c5;Q)*@gJ{Jq&p@;o4cvJ00(7Kl*qkIV9obl;G5b@} zd`JI$1Hi8+@0m+iO{`PeT$<~@OM~Qd)YwOJKd1*6aftliwFOegG=B&8QK?7Rmsp&R zBYvC}t=Cu?XKp7dyhrl#Ta{J3rr85y(=au@5Vp|i%6C)7;;IJryF4*6@6LG?ibA;m zQ$@=FJ=~gMty1ocJ9qzMaYR_h-)QILpaQ1kT)ny4r?4#8(DtCgBJ!qQ9dj!EwC@aGbX!xQArVd-KZj6PaI> zXV2M?7$pr<%g**Y14ZTby_x_0#Y6MF-v7ULt~;)&)S0XjI)h!WGXsgoO0Ve1UfEVOKLlwQ z*ZQ)4wA(evdb!10kT>Q|?u78$v##}?EJ1}Yk;wh$S=}54k+|a5OG-D1MR=d9 zZbyhNaH}f~UfUT@9VHc2S&O=uc*!wp*P2-#PI1@w({cAqty5D*3OtB-c#G7l>H$e;2bYOMbV=qV4phhRxUoS=({it?Bi*sz=|C#M!PE zK?6eG>sdXWK`L+Tyk|eAYuv{YIitNM<@9ms1^LZUdG@TkceNXyl02sfRHVz)LrX?L zS}PjGtEsL%ew9;`Vk_^XB}F7FsMXQUug6&Al$HWNqLmmrsRFN5{6) zGT%Np7t8*1t3vpUt42<=RL(H?sy=}=3C>NiDuV}MRGA#dTeTP5OHLGAyRaN3W3D$z zQOl)>QV8GXx{IG9iy^mpkf`a`nS3B>-HXD2F)Y;LgS+Z(W!IIV6E(S(KDyorph@T$=Z zj8aA(jdmYZOJ(jg-5N)+vY4zJ;hg9mJo2HpYA_5hI3U6%F&i=tQblJ$J*>S**s!<+1v9f{h=F;w}3_kslHOVivXtLbD4 zDq6-5Ih-EAbLXMKKQpJqbnW7D$j~lZmH90qX7an6$G5K1nH!m_w>C*2M@`5TDfD5v zw>3K81R{$K4Djdm2Dx`VxWgkM5n64Y#xJHJs5Z{5SGPJZ`0{$08K^X#JwHPe*mUdk zMPeQ;pC!~qQiA^0+I-QM6XIdPrFHYdY(iH``K#Afr>-fc%LEQb4YG(>y%`h>ki&y1 zDKlJCje2gV3*~+gsFhYLEsJ=$%Xy}q#-c{uk&lv=|B~^Dj@3P{^hLD*lUi*B#&-h( za^%96N=iEW7CMxBa-SC zuQH`G+{DDcIL;t>jzycGPKf!_Zqj7l*uTDxEuC`+iQl{&N& zH2Lzz@WK0zc# zb;S{}d}W5iYa(U*W3Zw3#fv5~=kIfO8Wj**DrPyMCranLWQv+_k6J0webiVQZaCNY zzWO!l;RjCCp_TK@(-I>rY57+2xSwO*4ybzCdsyA1Mr+uSa*hB`D@7puQvJ?=H+Q5I=#G!yk7` zM7@ftSQ&ZD^*SliqhX%TQ)Fs1?8}lejFwmn_dWP^hw+nY4-?}W3z3@dcZdYWs69iR z-K!!Z6jjT~u87*HJVzz4s4lcD=txQ-3{&{&wwk%2ftEItIP}C}D!MHq!2{4H7uTvobUI`q6^+l=Uq!w|;$AbLAc?+q ze_8ZI`&)Y*IVGmu@lU*wkWxvaV{S7mKiH@69xp)NrskV`q#75ZWAB2<29A)E8H|Y zO4@aTo;Lohy0tBHA>t~D)(gQE^vA_J#$_Mc#DF;{0Ohqenf4o^C-!k0z1rAI8^CSj zWS(AdE|%)WlZv@K4z1YX_91D(TM&q(%?3?fKACrO@N7}wO6l7AMtCufL94@bM^2`s>^N-O1r77Cx;Ipq`B2Id z->eRMaN10Xw$G~4ifY_w9*Yc`nevJ;+T@lx*A=BHD^2UY$vsI8WfMV@;v)Yl_9vqlq#xpYOq>@ zyr}wV+-yX-UB*WBp^k$_=_VD7HfL9eRz)0WX!CHS=@@PgK{8nx+h;YlKW*mV4`qfw zU_2PppQ$J593iF1+FD1^s(O&x!|*Oq?~9RX4G$FNflAT}O=nU3InIebMiT}d^JNU* zlg3*+2?92urB&HwW0YJL_8$@k8ly2+?j#=?+Zl`Jj-~N_qmn_m8-jQdVi#v8ZOp21 z-3UcREAaX1OG|b80~M?a1BhcO3k-J!=?}fyz9)I!<|7~f5*^(~iY1PBd@Q*Z+?9R@ zXAFy0gE?uZAw*`CM+D)wXUJ(=4!1?LHVC526}52`Uk;|-HXdPF9Zk%6jP&q4@`i8T zgVF>apR!qjFiu3H|E+=y`F5V{bo?s=LOhdGb~{(6t#2`{-9y8SUl6~r*Ay|mk&yO) zeMr&`r>qloa9XpEXXgWyQLx53^~TgY0e${wIWzYWV})YdCl5~xqW7ecewU*;mWA8qQzkFXS6JSQeA$s$#Es z5QnfqQ|Fk--4m8F_MM-uH-`#syeA-9WBGhXw5=jO4f#M_-O$axM1ot?Q_-lEJ2Z9{ zA;X{&RI%LW5KV7L6fsJbDat#~gqd)HQX1Ymv+_C87rSoPU zkHlI8PeZd&h0xgS%eSgq#IFPnG1%TRF8WZ34mLdQr~!U?=UJYpb#+@3+iLtxFRI86 zr5Gyt`&AZtm{;Z+B)xpyOY=42EQ*%C2oCJ!Ee7n;0&ROh zPfSaN)LL5fot$KMr;epLO7A>Y-cOoT6pKrbR`ZCzqbKv0?hW3AQAP|&6qHW|Hy|a& z-i+ftzFpExl9*!Rxk&kmr$-D|ZbrWB?a{ArTxn0aDtPLJC|laiiw_P*8tGJcAH{u( zZ+77xyQI{xUkG=QLfr8l|7I77B>b2y52DMD%fzniHdQ&)jO`Q|CNRG4&#K$MjW%QMoo&1V;Iaaf{{%z=^VS8q;^sCGEOnJ&wLTlYxfN72s2;g z!N|%-f> znC)er@rW(9hS>fQa|1>iS*3A?mt^`c`y3nl?}yzBwRwQ*hZRTTTf|oCv^t}=tTWeR zI-zn&{x4!R@l6FxKqx`w?3+BJb0>H;GKei^u9Z`2B=>C-;b2@}AKtVH^<{h3GtX7( zkbSS~{QQN_Y;N-CMIp<{0-A^GY>ld$NrAi8JY7{*w_cl5?x-Raw9+gOpK_RC+6nBT zadOge<I_FuN3D~4gFmH$1?+#X%b?^y-kna=uX?qTu&1`7+&#= zLH5BTgEM_{A*JaShtlb6+Ua%5sGn{)&_Iou&~{`#brf6rSL1Iu;_X;GrZx>oZz7F{ zto14lDsB&yC)+bvKV`grL|YO;M%$rY*A)+0wx^6<-VQ4hW>g!3eQ9Iop`34<6keq+ zL|R6QTCu5ZgWt+4IaX^$7dZyMz!mYZ+HJF32QT_a`1|XrQ#2Q@-@SA7)TbusfkDY;PbPLVZwWG`s>b897 zsy-@7I}xNjng`i_>@Q!_I}Mley8$TeD*6QxyuTz8izlB=JKH|_kQYA zi+>BolXSpsUeGo}Lrsb~;y;W=|HJ47mR43)mY1I|EiEoQo1dGVo|+gR#S9Jh_oBOz z9c_r_#)kS@7__>ova+J0yu1QXWo1=WH56I{gVom7*45S318Qi1!y6l$nwnb>t!?cc zoycw!y0>p&a2PW>HaExA zJ0~}aS2H&8QBFT70}v-#%4roYg=1KXBWC3GcmjLa^vlXPoF=1e7Cu_G&44UYHx0+ zgVpTM3CyS#Tvt_;m1t>c-_yNs_`uxushg*7U`TjmR8&-CcvwhqP*6~CXhc+Od}4A+ zYFb)40Fs@Pm;V)UMP*fW4Xh4ur5;vYR+ycd5FHU75uKP(Sl!YyzVPbpr!Tvo-mNds zjtvbCjm^LMOhiS0zBriQNJ~6$p8je6T)|BLCX6BXEwsaud zn_v|sB^9t{WdF$2+|ug$yDtRfw1?UFgv6y~u1bgq@}B14IL*U%hWFHQTB7$aUw$Ax z%y&gi&&15+zPc1I-K$DhwkCD*14^NlC(LkcV?uA{nTYr$#rYU1U4N9=_303&kf`WI z!LtG)GU^6a_Reme{!!_rbuBG*WjSepL#36KWd#|DG12iEB@L*N8L$Q>C#UBYfl@wy z{$l;@$4?(NSLUYYU*S?PvT*Y9@^Esno@8M=#m&pjO7|I^=BjTK)wn@>`jWh=nzAI{ z!PiwDLIi^?O--f#4x{wvlGytggcftsc?UH#9OnH9I>!+KZ?z$OMX?7!}}ZVdfZ= zQ9rP-v4cxMLQY9RN<>6PdyM1sNt&&eXbUA}+r(ZXjw@=nWI1t5u1`a3Bl6QM+XF?k zUHk)_l#jg`9$nsCpGTGWa9j!(^hnMxNRJ5(4)L?QYo7h?)Kx_ZAqkBqp6*uqCawV? z{%&@T0m-HHa9CMU3A6=0JUWbSEJ=w74hoHoO-xPCNREIQTovFIQZn@lPe@8kNXjg( zswzs4Pt0!`S=}KZ#$PVi|J-}NfLKsjMdU!eFi&$kA?3!}<5?!(WN1r8;KjLoBryvY z$4S=HtW<;U1A}DRZu(5gH&Q=R;nI43lCm4TV~rg+y}{k-hW?EI37DvFYW9Q8Gy zWX+P0jTjmFkrWZo6SbQZGLy@y3Xp#}ENAxArMzcux+UR>p-XHD6wELrEX3PZTb3KY z^uBUH!ywe2a%j0&%zbby)w+`7fgZ_3QbhIJ29snqC;xk-S-JR9E)lW8Pw#1(Izu3i zx}3>xNz@&k46pJWqj~OEL3A2LjqB8dJ|dzZFLvpgwO_Eey@`&p)cus9`F#AgZiCGO zm?71cp$>RUOLb00epyjQ`tI&>M@1!~4>LBqv^X<1Ha6G^uPM(>2#<)339?rcV8ESe zNz+BAy&fTsIVC4K#eL!}p~TIFMEgifR+0lWTVr^9$|_=~58|wTqGK3j?ckR?M-F9A zAiJcWHB#un6JM3%qe5-MGP~27GIU%_h~u1|tC^&Tp{oEP@ltX`J}rCKN_R=^eilZkPDToMgw%68HCi?~#U(GgW#V2JX`)LXB3mn_UJ7=JA zs3iT>F(GYlZ!Qr;P5tpYr*lzH#icGfIT;G=^ssuxNsFi8o)9(kcp^Ngn9yAD<|0Y< z)Lc(}9)v;kaA0vn067~2{Y68=^Y|P19jtg)Is2L}#J9A;d)`ygQIb>BQIil;l93+Z z5WOnQa_}(k<%_2eGaWljOHE5lhDS(sfP#n+@6EHRi5_@k&v0wD?=3Q!_%8{Fqkdd4l*Go9FWGC?a zjwaBa(X z*CnM@Z_0~H$OG?>x~-rto_sQ$;7xHoF4@*wx)XGScm!`6?U)Ymp68d+x6-|?Zfve| z>)r#C2NpJuJi?PxGm9%K+ZSK=BtBsD)(~mM#eFe9(UOx8?)Eq!#!p*R_>#P-U$~Ez zYu3Q}Cwy{xW-b9C;S1+Q#KndARdw}swD0LZcxY&3 z;^GS%Yf8%Byr!%v&rG;lOLQ6GvH3onT@*M00?ifr0TT%Q3>?mTEs)$QV7pq>QZ6O?5Rj)oU_R@;7xX z@2kqGnn8R$Y@hmv1^Ng2cmyQm6qi@l)WeGN3NroFL~mN#Yx7bZ61ijH;p=W<>T0j0 zrE`gikcK&#;GT&*(^S@4a9&AMN9X>1T^%j;o9e2n_bl}7!C@H|1~E4BO$@iQ zb~nB#1xYJ!>S}{Qp(zi!2}f5r3<6_9d_%$l!(v0+-F(N73|v$w`SR=?)%bVrJvul^4B>fce665&0gaQo5;PJYT!@>?EW-u`~RKF$`_RysG-w9OyeKem2o>FDn1 z1%W`^933Bnq_K}SEoe6ID*ovGVV zzWmpy*&yM8f!Q_b9?qWL{@zZWfxcc4R~JXS$F`Q%=7z=(jg3t$EG=!HIJlG8J5(M1*}dFaN9Vs}1%3Yu|}fgxIA@9`H0lBB(YA~W)0 z+#vyB3Gu< zPb@6S15-`_25n|qT1I+mN^)Xid|YfyOmt*KXmD_Vm$xS*BrY_dy!+WAx-vTrG|os# z%PsC)d)*lyUE4F%8~w0yF(dHP=`rURbnRpI7p|d!iMg2xp~2B{$(b2h*}%*JmPC9U z=rSTIIx0FQ3NRo6EY8HZs4#zb2OA^ZTe4S`AElNgMCB9~LTiEXpI2B_SyGsjg{92Q zjMU_$qx?rd>s*VNi{-xe9sm~k)~ zw~J&c<%4KmR%}saR$5A0VR2zeX-QE5a6JkO3-fYvva_;)(~*%5Je2(W-0bw!gvekY z4_Dg<2HNV%TH#P=5fon6+|~$hZbr1g%1euifa3xP>)K?dB`3tiMTbX(286~WmiD~e zn4cKw@97^M8wPID^vLMqD?E~SFWq~>df=4 zT@vgf#(9rVO+`vU&vb}lqpLYTC@d}q80}?Mh^`Lc?zOkKwY0Rfwzal4H#IiEfjbEB zRYR*Q%gag%veFWx!@$<+?(FpB>66F4X@v#lZT&snJ*aL}2ciW$P!GH$tbtn^4Sgv85Je|#^T)63NE;$AS8G@G(1>e zS=-gu+SP+~Z~A)sdeEpY6rk?z&UOF_U~6uM*TSl*pyfqHd6{WRu~8v`e%?Ml-hn~B z5d|gLg#I({4yZ9-0ZBhwD`mZ%i3aqvl z6RK6l1A|)j!AjI2P-+8~>S5?*C(F+Uj!GF8CJT*2pJ25*q zH{Xj{Tb`X68=V;dIsya} zT7U?Vok%3Aw|{gPNPlV=(*x@s9T-3&yE>5oPZzSay|oDrudl6x)JJwNG)7aUaYny_ZSzekR!;FtlO-#-V3{20Bjf`T(hA^`j5HOycn8BbhGZSND zn2}LXju{!j3}G+;5n$8+mPc5@b#`@uF}u3Dfx@FvJp;Y{7|if61~WO-($Y1Au0{0r zbanQ0BYV2qJKGUhU1~zKwDtD1_bualrmDeH>)fM%~wzP-t#clnVk#RtiQ&STo zLp{TjV`C#AhBG-aHVW>ihgt`K0*wMhV-w>OW8*--M=-+x4^XGR-X4IU8;wE&HAi)! z(J1f-py~i{K##vh_YDpA_n`aHi1ya(^p@_{hPrmp1jLuRkXS}__4M=)p5H>lhg98^+FTq`jgV4u`?AV^V`68aq3C zdw`~5)dN5U&_J7^p&kUHf1snJupNm4F#CpQXJ@BIfj*6ogT)UxG}w>bBD;YMkR3p& z+kvKnU9uGc{(+qaY&CE=ytWR!!*`WsX?>@(RS~v8FtI)>FMq7AL<|I zg250C)fF)zNlu;($gcjrfxiBsVW5FPUV~uqV6VFxyN3H(+B%`l!-M@uL}N?e#2nZk zfdTo}n7O?Tb>%ox%K42Af2{El8k_T;TtcTY%)FRs2 z!8Cw^p}GK{deD6X=mEecL|sEoX?a$BEF`8CFuSW490~(q@qk%_J$L{pD`ptk)(wCT zboK(R!XPX23o3iZ21myyCxKc6T^kzc2OA_1Sx+w*0f|+fwoU*F#5P-6urbc&77**K zs7j1!t!qFvfV(DAlO=ax>0>YgXrp<{Itx%cH~I?#iqp}?Mu z3iJ-hYQdgH*xds=Q2-o^2#X0o+F#NG{h09~0B@iRfgA!G;xJI5382$pe;Ec_BiM!j zQ^8CDAfU@FfDz5`I(TgZth%A5Oy2t1&l{_w1R^ijy*o0)urVn#ijX`rMYE3Jn~Vkt>u*!(5BkL ztc2A1E)e2wX>Mw$tpV0bMQ(mk9<18O&d<-s+dn8Msj{c9vZT2kM2_3A<`dXP0K>34 z1r!yH?gg9A=>)eqdBJwIiYV(8h-5wl<(|yl&Szkl0(MtcQ~^t?wgGUY8{N?Y zhgMWp=fq`0VYOH#ZS6pU(OX-ZfX;&Wcmo`)9t8GWYHF&hg@S396&4j_eTR(5(yd{k_7WKN8=yRVm@Us6>CtUflZqNb#x zv=l^?ONy~}H(+&cZcc7NQ8}z4C%?S1DnB(Nrzk5dB(1En0wgdR0TY4vv8GiiF!VvX z0gJr>s17i=fN@<~oR5`NYFc7!LQs6HOO7i6WoBkhUV3_TTwy&N3IlC`kC2m-mJZC; zi0JT;B;Zx~Lo96*%0ccSJG&HEQ^0A+1X&A^wnzhBNm3&4V^VVplY*iW6XL=nl9Eyq z{2qHG7UdU}l>y!Xn;w{XSVsdql9`=XP+D0Hj6c9w;NJr`A|ov=DKRxVGR_~ke>ozN z?5WXd=|MrM&^j2jqPn!GI5#gRJv}KtE-J`BFeo56$O97MaX~z$40M^1nVtsxwG@CM zAs#RQx3{?0Z<`kxYL``CBOl)LiM0j{`V4$y$kC&IXmnQ_`kZef-IUn#?Y;;6uXmDVFe?U-3cvLK4XbK?gM-o689uXE08Upe4vGp-5 zTXu4I2zlxjo}8POl$MZ~0_G73oWigWf1jrg4o>c#{@w=iHy*|2r^En^;lV+H{{B8b ze%@XX=co48R+bjvpUo3j?_gichi<+>A%SjY4=jykCF~-jB4T2|Xt6QC>kahrf_S*Q zI=i@ec=`ARg@i>!L`6mbkYT|fupSWT>FI9oYHsW;8}(Y{s;ZGTBswZCIxI3YG#q&G z{s94gzTOa*2ZqKb)=m%~Z@;LN^u*|>@W23o!`<1%$-%+S%FNjCzK)KThNi|{ZG96v zcXvk+k?;oYzvX=`2^MkpAfJHHprDY@u+RV>PdCTM)>am#re>z*R@U~;t{xB%PrzJ= zJH*Y&)e%h0!qC`SN6+ezQZF~F&@F98FApCd4^Iy_4_7A_XBSsj=f}3znzz(%X&GBP zdx6a`&_BS>)5F8T*2dzYiIKh@NIz-ZR#Q=ulaY~;l~+``qibwtZen6$_`upsNA;rzMtLYKrqj7RdyRe43_8+SDC-nenk(7@2d^s&2x zmW+btea)L{$_fgyQqoeO*=6yoa!SeyN-D}KH?AvRSCo|pok@sEiiyYwLbrnnkMRkg zJujoId|gRFUS8&^oSgji>x$PDq@}pHxw*J__=P1El;o~l5*8BT=RC#6%zXL`|5+{$ z4h}XpcGi>3$B!L9agvRl{nRNoR(6ilX9W0#B*f027nha0DtA*;j+g6_tODrus^q1M z=g#o)ar5xx z#>K_X$#aV1)TvVhSR$r80EmW~k`(Xb*6PgA;Oyou9`2{lc=$NDcz6Va_;~n)B$U(? zRJ63ThYry*9Y4X!$#sg0|D3=X0a0Nl0{Sz8JUnN3IoSa8BS(%fF)|!t01?C!EG!^F zdHf{H@#7~?96oyd=wW)QL#*!@TYQLVzI?ZP*o5S)iu#5okdp*f;pFV|m#?-y;ouOEkP_l-ufO^D zZe#uR3O1cRJGZ#Jw6L(WvcA3fVrgM+Ze?@p_3Jm_|Eq=h^?@^qDtEeD(lat*VpAjB zp4i@!P`s&hUB^JiW*%aS%TOCTd4pOI=k3aDK}`#0g}f z3-U^!(6X|cM&Rx>)HflT;H`-2YIL`&GqFHSl$E-IAT#v}EH9X&?}Wbj)0n)Rk~(Nf ztz`7wWamyx@yb_JEbMgKGh}l1))&c%53_JwQn`eaoIXdwAgJe`RoC77+BVrSi zGYSgQkYFg)UfR2z7eOQ>^ zp*bliuWN2*sH35LiIoO#V`+9ASsWLeS&*Akze34!K~_m#LEFjO!@Q_^~-_tjMt&K-O`+}92*$jT!8L_kJLfKNK&I}Sa8GRO2cH^B6nDO0{mAOE zrRYYYN0%>~ydbB#mkm)yCYfSjMpjPq8X5i3lgAH%|Pxrv=#@3P$ zTWjwaa9(ER<)wx>X(`HG6*{(yL60nLlQ4@YC`bwm335=snH=aDSfym;`MNzaRK38k*_`ZSrhK0D$RTQ6OqQF*H7O~Z z4qorl)~52B^)pXWVeQE7!TBv5eB96Pwl-d^%nr2_h8pqV&p-m=a==EEml6{dms#4- zjvkuXBtFE(&3T;S70AJKzal@%dG`E8Q3(mLi-LSyr@*1XdqF~0RziSa+3wPVnkPL3%834$QR`FLIs$+w~!ekE4wZlhl{Z{UgG>?QK01s*ru% zO*M60Gh1KqaB;vHfV=a07UWrD{5)_8NhuG2eU|PZ!!dR~q08bD5|URHl&>p@pE*uV zL_l_s<&21w;*HzjEfbx4_rR+#2F4G~EiKI++}8p}zXE`D0Ppp}{KE3e^Vw0rJ@DdB z2k>UH;zNDhADcfgHnn-`;_B?=<`bD++ch}YRbQH4PzI~7tt_o*9(zYh$H;Ji^z#a) zvk{I!k1ei$5D>g@>5BYy^}AX+_l+J}J$mZs?Cj)VXJL5vnwS758!HF*IZ;_vO#@S_ zM~|O?N*5Owr>DS9v9vHV(Z8!8bdvJ@+}QNXT_Q44{O!3OcvVSZURFwMSWsX{WI`H< zXr?CtV>2eDupTwOu(CWqF@%jDf}q*N@(u|t(@~}aM4OYS4%E~(3H?bW>;40C8@nft&Tek*?(S{?kiDI)aF!=0m);Rl($Y~8y`SrX=A|TnEO{ZcbztVj#+$9R#mOOXHjX`8d;970&i2~k z%+$=%1`a7LcpZnEi|sH7Cy(?EE#lCy2ujE+DJkgb>ga&?kseywIk*8ZzP`Rb-Viqj zTXSQ5-FrHE2F9kA0E&Z?v+F(>S7!%%TMH9|d$*LNgt(4U;jT@C5b(k#4lyMSEiDZt zDFM#=^%skCGgBad2BLlw;QgDmx4ZZtc1l8s`*GvN($eZ1T#^Hf$C#Oq(o^8BjiWnJ z;~T_`Tq1I6nmT&M#>QX^Ff@Ab(A?_L6DL=9kiGKs1orzrflFX=VhM!Wy}f{e?B--| zWukZY`c;uLtc($3x$&A=(_=)p`qTY33vZT0!w#1N{jv9=n#Km~8>9bekQAp*(% zgY*aKXeh~uvBnENArT37izgu>A|xWEpgqijJ%!XXbPbFi**$)2Z~x?}gCpR8J1}^? z!Or66zej!`p$GgAtakzN@bJLO3S{7(KDGh;(Y~!B4|4UKEQjeRh;ZMpFV9bnVS_** zEDeHdAacF(8gPY};s8CAhd?>c+4CY2KwoZY z>KdAuSz6md00J;~A0Q~deF9fl82dN?2!H`-_|qr$kL@1W0Mo?W%+$o#$l$*2J*~U9 z)zws$uPMmMT$Q>aAuc8=Dth_yWl>Qvkh{JjB@NP<@(POAl$5VuS5Z*~bYqXy)NZP) z-@0=bycvdFt|q1yRiVYC;!_=o=Cz;8JKk~!b$w{`#f_dkyQ-(TF5A>gaz;^uW>hEv>kOu6V4&q|q)!bj`??L(D>7SwcUi};S?GF#$ zy4a^ZSib`HzlQ2}h`tI7y~Evl_nN$!|xNlmsP`*iZ1WN55^cfB%)I-y|%C)jhyBz=ChG z#g2)^yGLIa#`nI&8$`wGe~}&7XMl$QT77NsZS4Q{@AnS(M}fn?jtF?R*WaE{exW@H zeIvk?`XBDFjlYWhN93Tze~aSR4SpHm$I-qD?$ zYi}msX7iho{_qxy_m6a7@1eg42K4m{3x0g|4-x#nV*jzs`E8iJ( z1zhg22yCl=lhc3WaV!cfUD>0*(b2!_(XT-E|NQ?$`h_iD5&gU7`B(e-K~7&E{lAyk zzBv9+Oa3qQ=evGjFaCg+e^~Jc?f*{kH$1=Y zr2c)i*l$k%C(&QR^F1i|W61vBIveoj4mQg5jYoR}{xZP#@&Cfb--9OsVq5=f^cC7) z>irU#^4M(BeqQ9)*%55Eq?6iIZ<=4#p zW1RcxsPDP3z1-eDfv?Jbqi;puYQC0ZZ}-|`vzPlwK{D$rQ^9XWeFKXv`ktk(|2~D^ zfx_~o{*RJ|zd+nWu{Z9IuzzyB5BG3@Is^Un4WVHvvj!&_K*-xIOl`rP~8^EcY><`0JZq1}FqUp)$Le%Ihv9sLM#pMT)< zTj4J)f7i`#*!F$sUk1cp{VDyygnlgE1M>5BU%UQZ`KLqui0c?`AK=H9|KgB; z((D(W{woN6GWOS^KN;dLRqb{6`-%Q3xE}}j;rYKb?jJP%{p@~*KJi#vpR>>qp!|o zb(_`A>gMXvtDB3_^--f)HJZ!lT-{v#y?@5{{qg~*zuTMFC7ZoAMhDmR1HWq0Oq zL_U0Gdz%G#4RBy#nW+P@C~bpSW(*ww4*4^NTX`@@Z=6uv^c5;9Bv1G%&wtBcCLaV; zQc@z>j_)<_kIw@DXHbPpFHu~5UFC?u-?>&uY+!Ux`*UP zMhob5Z#U{MC4mP)8oBteaV&s7p!cs8my z#4|y~_t(Xzu;FCeleFz88Ds4&PAH0~tlSDHxkvDXf{>zy#)3fqe2`{5R`dJ2ty{u2 zXokdIeX%A-{QW?%mN-1E4j8}!1kM-&Z%B7;M0P|9M1Z5MsE;sV!+OJjI+g$shy~69 zFuZ2TH>{fhT*E*RNPI8M|3CFx2B-#zy8QUw9T9ZC2@c?*)MNTQ(PDw4giB8(r$KL_ zVjM(qD&wTWD(hV;uYvBC;HqeRdASNsdbKXoEDQDys(0IFlC|4P#Uhw#j!3eV`)=23Uj zyTu6%j`+i1nu=_Wgr-eh;u}f{S$Z5ejr0=>!E+-!q$4C@lRk0+ler{)hJA@-g~x49 z4T(EsbB?UD2aOd>47JzPb}5q_5@{kvto}?>zOk2IunIZ1*s~I3 zsgAiwzn;~k!Fxs4wE;2;M$7GXj#Tp-OSTjY45ZR~fd}a5{1$Hr!lnogn&K|gcg!*U z&~gt9;T8F*PxZ=M8qeYOZPWTCnpCR`uouiW*Py9n)`=h@jTC zU|cbESXX1X%V8!)^V>FY2(osq(5OXVm<3p4iguk>c9eUDj4}ot?yhz0o_;k@+DSl3 z?Qw${tjZz09GOGkmOF`MYcuq3a4*9Jz_QQnr#f$J0hBkJWe3Y5O3y^8<+W!x1gL|w z%dGX4CNmRdi(?D;C+5H;GD9VN6$k-t0PiQD^h-F z7HqaN%SnUkm|W7TY+E3yiLXd`79%R0BgX2b3ib5@(=pdmOd3)b_$`{Jjvv4#^V8mv zrlAb+Nj<`}N~2OaT{hFkl>0u=A?Z_Cuu$d=0~H7(rFbAlSl1HCJubKVn5|f2U76D;-EQ-x?WR1@=~nsztfO!qP01lCkTteRU74{xIdC8P`1WN;m^ z+kJDGS|D43j0@EC^@rmdg)8^*>nd%M>uCVRbQ%4c1bT(1_&EkmLQ83flQ}7Qgw#6a zgr0awbDF^OF@=nqa4E!%yeD<}FpjAyybibIBQC%wB3^X4@~{zMwJ7kl!7RS$R;dfs zg`c=2K+MjEy3}!ZkBWu6QNVt_~7yj0A~;?tT=g@nD|Y1Cfse~T}$FjVDcH9 z$u%4MsiEUECUgL4WyFts8Sb)h*9+HKY>2`F@2i=cLA1Qa_t5Cm_2tixR2%3~1yT2> z)4F`26X3kevx^Rzwwe0bM$85GoO5+D%a%yDNR|j<{~-?3+k?wvIm>;QT_CtakQPFb zQW{zW22)cCbgj5YS@E_%F9NFE-Dl=`n9}1>a#vTbT6D=0Y?AYg9vuprk(3kl7J2c! zadl!2EWS6Aa-+NZxq>5u4#jqT`Njo9n;jWL2hy`3(jiz~$v|LlK70430WILsq?S|i z{k&)u!-Bzk?OM3a5EL9dp()43U(2!Y;>h!itSS<0D|Q+Tco_5mi{YI^wG{S}fZ~ z-n5~MO)_|Bd)7`U?~d{}nm8aBRM0sX#$68X0mhdE40w}OMLTI|`wpTbk8i;?$jD*k z#%LAU!1xIZ{q?lEHijko0_{H1N||wRGdpT{<%ild2s68#ou8-xqcG4tuwk$cf-V3M z3No9CZ^m^A5lLKh}Oz z;6!LCngR?9HTO6oPrgjl2P(_1#g>g$k`pHRRzM1E*x_F_Gi6uGhpOh`W$0A)Oe#Tb z5;-(Dnta33)Y!ur3Ana%kuAYgDZZ;pmLzd4iqJVnRWEI0O=$*F(D|mBbEaGsRQhF2 z19_DPBvuVbd%9bTGwze52arzh|I5Tt-?rW&P2UP~B!g;L3(ig{nxXe9xpE`jG` zkuTF2&EhZ}c{m?yN?(s*9sfS|azUIBUc!N&A>HI~A9~wjtP)_SKzr?8T-4SF^%hNX zt5tMaSdR)Jb)VyV^2TxhTBRC+s<2!Ok=N;|qCeJ6HM; zS`gtB7ja??o|^g)I(f)Rl}XhoCx_a^TLIop8L7^d7sf}-P{_N(NH(BLf!&ci{wktc|z}Q;gvoqn6Z2o?%VWJ^AzBskQ z?)4jhV72n+LaIQ_H;DrnmLIfUVsjwmHC4f|ICk(5&+FnOL`jrWBR5Vuq+xOmpGAG0 zsPp9P8P&dQi)L)uudv2qA%fF{)Rwo1)-pRTU3_Gh!HV5TdSG(PeA#0tBzJ#yn-d`X5*CT z9%Ne*?FuEocjt8PJ7^_%s8DoSTSa^6~J&G6la*w=9~fUU;-3BY^YHwjnf(% znbkUN@Vc1!J>!-FQ)xAiOG0|7O(Kv_J&2k(y5|ir_2d#qk=6T z4S?{EA|f`Irz6Fyhj5lq%eT(2gy;@A7kBb#Rd7L`+dLX!R(BM?9B@gNXfJ~vc^hrT z6NyjW%SHh!7a0Y7HKK>D&{dk=f+#`?awvsE)Bl9~vg*-cxxXlFqVLeZ>Pa1UP9yPk zrAG98kQ7k`RgHB9KQEJ9hK9tU@AhzMLFIVM&#jzNY}dE#&!X=#39UEQHQ7_=7q~44 z6}2Y4jWs*arG{)}5pX}F@fOTm8U2Oiw5vas#OpTIF#F%ad`~Z@%OkqckhWl`vddj+ ziZC53g(kjVDmFIoFcf*j_AbFMxPlHpIm~AGWQ>5?OOcvCh;^{fJP~-N$ z5kD*GB(xbj_v7-j*soJNL&{A*Ps>4g+^x=zD9<>Y|gamz!s3KkSLv zA#*2op>b}pKOg*V-v>%4Z%%T4*eyDbVB@*s!tILLO{2!gm=RN6S} z?Is&H)LJAvs6Od8NELJ@2t>z1>A!Zz;FvVGF@AqlhM%0KBuvjCe@M zM`yrG#FIRVY#?!M0g?A!m7_%*4utq4<@|+Y+>Rnn-eNfs8j_?-okq{|q76=R4!3jD`Ro#^gE+;ao6#}nV5SpY`qzo>kjGfuBxY{ao zdNrD?MIL9mKFB0ppfOHuCjXFzV`BSB?7@T&yfz5JB*N$rvo`#3&)fmG%jXW#wB;$3 zFC};a?&N%q6`9jnGSpyKBviy%z9ge~ocKMBipu??JLP4V)0UTOsiZHJTvvv2skIvy zUgTCmDo1e5yM=g4-mgH18mHJS^%^xWS=&HW(3&~Eo^ySa`rhEzF1eM7jE9thqj*cG zQ#!|i>Bk0hCUVKC`ur9wK`K&H4d*!NH2KE9K|O{#j=~ak>8Tvr7fUE!sY>0!5+sfe z=%f`6b4BqfW9r>f|Ahl~R_%I3Qy`k_9yd-?@nwCxBYEjC*qC#pn6I++t{nM8{+2Sg zU_j2;j!?cYnfD8OXYTQ9H7R*wSh@*g?#|g(_O|+k)Nu;m644e~ewP?j+p}BtaAjt# zAEv5{m7<<4YhccPR%z<(bVL@-Ynhy;7TEkS#o7cRlMt<2F!M2q;YoB>n0XQ~-J1zx zhg9r|t!_0bjiS12WLB^?4_}vUvA5Q_v0xSG)P#C^qEwqAJZFe4y&r3fPG0$s_v>UN ztiG<~y18Di#odSKX5dk6yv~RBIlmQn5!E=pxLON@6z>UBawIr4h1T0L(jm9vq;b>n zT!x;}>>R(&$e9O~6}{-tJ)|45*K=2sOiTpN&c$VMoOw<@9p&u-`3fil=yQ#;jZE)u zO=&&TtjGOmC|Yp2x0W8P%${h5VZ#<%LwlKG`pq$MS}@B(@>~E~MMO$mvA9=cCuJi%zVgi6 zZTJ!_cc#HWionl2WoosH8X8&gAbPB-RdG=uA3mY$^nUmtN76h>e^khsx5xSt(Qt5b zpK_}$V#f!K(BO5PdN6pLIpO7Pf)dAD9NMBB&l!ah>DUvM6Wd5@M@M8i0-yOv8VK%v z!=e$FyQqL}>-=P%*-YK-@Ysc&r(ba5z zYWhG~t%%NfpKD3=Bx(*i>^{9%mx=CnDp#ipQ(6VrBSoTsZV8Kz*uGd+MVmxzVl-UNwboCM0iih0WzP3L_P zSkO@4P`qX%KIXE8?vQ{*`(^ztYFL)xH9F_;uE1?c8`_kE(dh1K?i#!K{t)J^(^IF@ zaaZ3^vG9ZsY^G}~q<}LwI`N?`#XdQB+HwdVs7njha1ph3LL^2r?40leE!9kKGV0^uM}NKK7A1;64Xrf1rV zS9g3$Z7Nvd2qtLi_3UarHREQPEJMNo;c^on;rH$+e35Ww_MrgyTlt}sM!iqSR__KW zG*}+GaX8wHV9^~j@Rc>jmk-=#J_b)4phdjD#NWeqy!K=+x3|O(>4dJ){p4f{IkbXa zbw!>C$fal!tpBTr=p1VdE~oV#tzI`NaFakjp_bNc{%F=4i6W)++EZvS6EXO&nJq^S-7B=_Lwjj@*`O1mc(7oW;E9as%EFGmJAhp=;u{O?v zY1+2L7(bhwa_l~qx~<-!6f|P#?W8r9d*~KkUypXU_SMN;>uyvNmdD^8fOHICou7IQ zoxWd~*Xx|534CS}o)9Xs7zixFRAIV@N(k#akB3TvO@f;AnUeDf3}qTP!#Ud+aJDS> zojLu4o-wBH!fQO{+1)0E+tk`V+BC)tNaA>MdN#**=i4VWkn@{d`otZDO3#WK8HpAs zM7af{3VcmV`PA`NfTM>bTwxUUg-dogjaIUYm!#{(0XGNeg}>-U2?ZX6*(q!i9D%;P z$rF44KPz7$Tj7_>_3W;OIIglmdd0UJ{BGNG8YbzqHk1_2WAI8$7+}OSHGs)zT`#1- zLaGe1&UtCc3Dl5BfMHn95)7Wq-y;By(G42_=llsdi5deIxkoUFZlnORm0ZYHfD6*LB81)fVlPLQOJz|5z=D{ys`P!nZz+2k$h>z_Y>*l09mxAtwwIY#J3gfL%5*VqUPseJ# z;&fI32+ouxho>P$VoMWqLtJ{#n3wL|yXlKc_`EcEp{Bj^mQQw-x-P4;SMM~#dFr>T z#Wb_}M!ce80e;r-s&oCe0~6P5XYKYtS3g)?@YH^%Id0q@1ER{$I$vLVyizj!P@aF2 zfz$b6C_|X7(xAIDH*Pzvz65Ro&)mj=&C^*6*ZZL@EST|WPp=6=SRyy9*xIcXn{axv zEQp_FcTG&KjhP3q!1D)r3FvuT_I%oceJZ-;3dN`JqC$>be{AX5O0I$suqKrUZpp&F z&7ICnRecBc=~I5=WP?cN@KhP;9A007D_numaQ zx|=Qo4NJp_^5b!^&dob8IczJr>^U@talKR(N%!O4M-MginjuDcW`XFNeW2>J9S>QF z8oKBa6gSbXH~MP&+K1jatqUn1d8)a#CKEWyjR{gnlBOuKNn)d}tci)nk zmQ_mvUH10%Nd07;GfBv$=4~ofB}6>T%7$1wO7qAbzl3e&Lr-EfJ4Ew+g7Dp`(tf85 z?GB#CD2ZOM-{4=mU0K9Oxrgby7pn@9DM#zMOJ5h3_6p+Pc1DuU3cNoJk_i8IE_rTU zGWDp8g8BL`uedkpxiUGcL#JnjyDoRteBt3(i3>tJ!0!1i{HRPyg!kpt9QB7;@6#@E z+EVQ{`fW!?V?w5%yIg#X+5jRA&MvXO0b1EML$f1RJ1Ly2bn12L$ZpTOTd0G$CdcOE z0RMUaD`Vo$>5Jlx3b>x#OE&_!%ZDL!EteDn=yo>%o}ASmBFB8#(T!1}7OdvPY`G&B=ar1(m^cH{D;zz~_v zvHO-gmc6^V_Vo_Ml)@mUgF4Va@!m}LQE1FmOya$g>vPg*q!Olrsy*TkgXHj%%A~G& zt)ZV&*IX@9W=*im3CpyZTyq_p3ywX>dZy$7byPeYIOogc8qLIsZ_4Z#`92shw{p9E z);SUIjtO6!W~Zbt5!Kn0oEv6>%S?KLrRGNrIb(x^95ugE2HCph zR456TAh0|}$EE)eNw6l^RK4{=Xc z4U%-8W#WVh39e>weptq|7~Ek1m4+~rK@I(~0g`sIG-~xu4nNwv)n;sPccjKZ6WELo zR!z*5;aXX@RtvBQkbZ;o^nonmRivC3&npCyQdq((>oHX2jD3s|>1UC(e(JLZAN3-_ z(}nG~dRL*&@?PlcgxL=6;3FY_vC5QQAG`toyCzs%NBH7SYMYKQSa4m+o_=`l3aOuA z7MZER_o{$WU!~{fw0^|V?<-aSCqr;U-_J2cPb+)KxITzrf!?ACV!BN5_EU@HFz8Bd zEU$2+6K_NsXQTBN(-`*wDv(ukVo6-u=iX0^3`SHP>)8$yPjd^wUhYp{OP%Q;U$JW@ za~i-*K_Kdnn;rLBsZ0mXJcFmQxl|`kBr*0@^vv2j#E5+#qTtI>q&cW(9qeq#t_Mw4 z^V(oEJ!dLW6lfDCB-YusJVq(B4{R&uiPBBjQ+|2Bm-cZy&0>O%3^{C?3;m#d1kUS$ z%~kT5s3`8Q7p%AW%ktQt@Ey9svnz?=0~&hq6cWTU>AE7xM)=2n1KhXNI@`m5aZG+5jeUldx8X z;G7t^886J#Cc)!o+^81BliwzYRnEz`^_Y4O4x^vyg`;`mZA*jJq7CqJG$(m1(j^AU z>xr_sDS|?ps+Riavh3>PQR&gg=Kx|H#x_=NF*$`W#_XvNU7;>kSa}2a!Gu12f98MJ z%VZs|Ah2zlhf7ndECIg-f0{c+k!o~&1RO#f-)JM|UM3l5p7feK{^(#dlKK^+Ywf&r zO!ZRE$FQ*0xZ0&Fswi=&=4iQ>CbegCw?&lnV4}#}P2l$M>cb4Rr$zc%;SK=9}DLlqqxl(C>^y z2CoA;JkVIP5+}bmElA+eo0>)7M$8%d><&ds3hIwRu9pZpn`kubEzOzLR9r)M$0^uO zoq#w=@(Q(wL0q}7fiKT)4;s-F{zQ}2RdT0YV2IF0%?4I=rmcOCQ)2e<8?I(7%pZ}z z>ra<((H&!lB_BIY{KI*GZO^%PvMwD%mk<4`N?Z$=co<#M8efHlPR)dyfZ%RVc*LKL zt0RhS$q5@gj3Npej-^ER9byC1Ve_e|=(&MP-TLc9gQ~6ZTXwBwN8cnX53yMaS7P)b z<;P-Dva)TFeGjh9m=;gV!&F8#IAzn!n>AgP1Z$md^jVzJheK5%8pj+r&C}LNHMD_U z`}L_l46iF52@g)}wY~&0Jj?7?>{)2`qKUv!5s?J8;*esBI{Rrju?=hbwv*U)29u7tHJb*ejr#8 zHlUJekCPoN`sid%wK}#clBm8o^dje&Wg0Qy6Z^m|1oXg@9#6g1E&(O1dvy~MR{Pk- z%IgcpOhi|{ZxCj!tXO;KNQ$-)WemkW??y1$h|C+2qRmkV*SqX4j#=GAQY4`VjvAiO zw%=)u1)|}LHDRhWjHjKm=W>6LZbU813mZh0F7Nu$YqHa9IZz zhNF%+HOX+x_*LnlVf$1r zH^m4VOl4dy5~(QHu2bOoI+31$q5>WZ!9W6hLA09V`d*$9Qz8#q5WLRxH@R5qhZ|~~ zb63+wrs3qg2CmZG01S# z!ClyNtD|4FEDXfh82HFEs@W?82UpsEV0c72au}6`zLX;ksf!<}&AGDJwapyU8UO%0 zf+d7YPrFJ;I^j6+ZY(Z;(HO)X4P|qr(!zlLG4nif$i=CRn=Oz%gtFH+nZg8C!Yp$) zGSr0Jz*u{N-K?0?Q$DNoF=Ei`t7ZnTxWdr`42-ZYiiOX4EQ{n7S94KF_JrgwU61+@Dw7CJbuP2G# zEK=NBmT!SMV+AwxHwkpbTe8!R#G^#rj)P%#XlQ*zBoPVsJ|mc#@+fl`7ApMl9oM+1 z7U%MdF?+b&mH1O7r3`O<*Rys{CI$ILSR#4~_RkbEc|=a#KT6ri>}Dgo=6o(KbId0r zaOt3ivTx8sBmWr1(FZt_exGN917_%&`IrRie%O^e#_>^RiXMu61a%pvY6c#Erzv%05`u-rCJ?6RaQ=pv6o zHbL#p!1K`AIE%`JS`e}>dxUfSHxW{W6nMk zFNuS1TW!(E8M=hkQ^xB=JJ$(dFUb3$Fe7oz5((b!ly4)svLB|mlH`z~E(+JSlHr~n zy%n=fL1v$UaL1xG_%O2EG;(j1s5=Lzi^MJVdnBXDv9?eulSD51Exkz%OtjbcWIQQW zihT2*&E6CPg4uE1YC)A+y;Xb4^iQK-({Bz)Fab+ni^SG-Q)l!StQFCU;3nqJWanG{ z#(oq&t>pNsQNmmD#b5EB45i$MK;)(M)8w!JY<3abwy^i{5z~;Dp=Fnq1S|UBQk#zL zO1>N5y2X08R)#xz*Tr?3zL|ZUkHAE!?Ha#uC~)Q~i~CUdNMFQTa0zX;N}OA*o$eH; ziO2<%s4$$_QqBX(B?T2d{N$A|u&NvaPHn{l|4UMF^iceGMK*)+*`aLoo!5n1xAc z2(d?I@*GPkc<|bqRrqKEcQ;hOU&tZJy>sd z(K#67vn#R1nL&WuyaWycdCU}A0l#L2m)4nxTQpuFkwbv+r{Q^ba9V+k$Bs-{b z+ew`ka^c~Ti*WxJ3K&7xww3047}*Hf+6Fob*&UQaUi;hDE!dLT(5G+JXFPM4{K zZ6<*ag)qoWT_4_l+xsy(mCz{ado|iI-azuJQ0#A&LMp8#ck=ddM#sVbr5^N#CbRqd z&+_C=|NE)L|Ks=&^eaRPuPv&?zW$dum?4aY0$Rl3!YBc^{@Hw8B>!h#DdH* zt8F_Rc$TU>7Ep~9_=jBZb)BT(I`)g1P5U{rAUS8FbRg}A#`Odvrg@(1l*L<2Y(*G_ zdKto9V-7me_P;aeY+o4<=EoOw4v4$s$7%^gvE+7MT$HPeQI5KvRG#AdmUzt{c2Tff+?%fsBM$j%E=x~k;j+q&dLbrk7&1HwZKc7Zu*HlnL4+3a!cj@5XWjwheVTkZlM znm40y5JAsvoWGhP=W16?1&7oKeLFzdtlod|H@NO$Sp9`$1eIdhvnEJ4Xsvl+ zBrSE0n;`j{@gjqz`v4f+H=8q0HpGiA(I{e70mCkxHstf9++l#mVhC;T*)Lmuaj|eR zt8uO4V$lZLtVNmO^8FR6XrEHbJpK1gX})V^Q5E5bK@vG};)bnqsVAPfmWM;*^?O0b z%(JEAKHcJ7eWyt*y7b1bLmu}c%MYEO+>g#2&KANDktH8W+YqKdRW#K&>44~I>8vi2 zzHpTNLR1X%?XFP(M5vFOH%MbCG0huzq!BOejdEBn9%G8n1s6vBjXQ4p=cDV4b(L$P z{ef$-3~#{Ne3(s*E$`(wOx%#x>+YZ^B~pZ|%tF@^p}xTTDm)XDb%v$LosNNAnUo7gmH zM4dQ?)rYq?{;eMxSXp8<4t}u|iEsJ!BBX$rR!-~IHbdStN3P(?@D-SOdd$B^ju^Qc zsz6>KG9v#JtVY_P&`~18+RysOWe&}6dU9y9H*1)p3RxiGoxt?rf@oF!X!-fZV}+H; zTbsaqx7)XK-Vcbw6Z4_;6oL3o`yK1}&)CbQxet75Z>?4sN$f|# zlL&7JPC{85u%-|S&%-v*HFTTM^T){$sJ`sg2~sP)|A|SpfgDJ9E0U$!mHV~QxuT}A ziZZim> zdx+i)*iz4FFp4F2&dX=~)s8U7*P4PI49cQ+VphG@KL<9xN7 zK4B2-%aZT5Lj5xH6G2pKKh@-!oUrk91=t*T^o>Y}lFILc48-m;9PIQ<9TRN3hgx4s_fELcb&9k$vrnBKh zo}P?>k4uJR2sPt+27L-O0o)(+_NE9Mn1Irxu}n^#(f>%K!m`xsk*_exdeA06vExOv1mh39;_2Y z_~njlWqXaH7I{TR60VA(_`2%N0^6S=Hl~vB9Q>Q|yAvb;XxZ6(*ooOp49X%)kY9H%pl~O@DrA)X=!?o{>S@(c`vMUD+ z;w41vuE;H*aDFy-Aa;tArh2?Vf#Lqe`tCfOA5zRTr)LsC`bPHSVh2G%Xu4AdY_;4S zxc)Z;!~X2iM@`I5CM24$6Uj9Q;OkWqVZ10jLE3$DOKYug^sS>>&93@zM^R~bTS z|6uMD+@+ug76(=6K(Yp2vmoE>FAo5&Ve#Dv&p={|pV9;0B135|5Bj$iau+`I~{TJ#et5a3wC*?IRq;!Hui3_jz!yer9 zwyXG0U0qa4#vr@m5#tya*P;Z`iCl+&SuEsNunB+t)PSWM_en#4yXk!K{v^KlS<`ah zEsT7(vp4wwR=`E+#y9XQQvi@wEtl34l3(hwm20PHzIK?`%tGwT8)^fqMd{KWu>IxUSu1wNdt~>y0`p% zjLIa#Ly5nxKoQk1IVM`xqHkdQSn|i`?r-luA#7X@*D_S??W<2H!YDtQz2!T%F^c(V zcxoa%olpWy{%n-xf*wt`vTg(gtwuxoj%B4cc=TC>-pE2AA>U*(RII{C{`3`NbsBQ( zgc4s}(MImJKKd>w_@)<_SniYni%Gf26cfzA^X8Z}_}8D#eEXItM%ru(ETZ?cbLW-HGgEEhhx6?T_|t?c8nX zA4;R%z|a59j+2nSPCu;5ogXrf-eg*?rkwjia>SAsv(E=C6? zw>U(x3w~bIk96bbI)*8%s<%nPgmo6;VlQkZxGb{_ph*{pPs@ zOv(x^ZmCh7FBO6?ry2sVmPSa^jNSZIPy5MzH>?*EA#E z`b>4Krf;7$A+F|(6n7h6U1DK7zYdzHW7N-m(rAU*rbY%{>*tz~OZq(4#!X0+wPyc1_? z?fTbG8D(Se3X^DT_pjDgJe0ZxC-l{mwc*iahxL=Ni3srDz;X7OKU~tz%GgdwyH)Nj zkDA#ME@1S`l6x*T!UdY{nwD0KwtGnLHfI$l>$oUW*+hg!x3ROtTh@b_vi~TMq&*_O zLf9{or%?miO2jLEtLGUt>y{rSoN02MOE}o-2B@?HR_aa{P9- zkIJF|_V~0&$I3=YRVPoshW~&mHe~lR_dc3ne?a)N0A%hbumU007xC%W8HwIYg5_sH%uHAw(HL>KPr?OW!t#eV3*WMc_y&?U z^!ql5N}j@dDxV?zw|lN+`nISOZU*>%^{|W?@Z-`)C;Cs~ejK#fEf^oM9&|)tlJL(@ z4snas<1oaU@n4`4oxQSAm!L=n<7;6(awAY~-^5Smn3?^7?lPr8kkjtZKmTbVYR;l> zD|Z|EMwFFhU1p*2V}nRCmzpoSHVH;JRNU>#pUThm`%iI87wRczY&Hm{98L4pFTfSE zpH9$J2bTA*r*TVcH(s~FY@rh5>Q!G~pPNnS?->4d{iu1}@5$dN4kiCkJqeYtXuXqP z`R5d4<57N)UaehJ_p(}{spynVr=@hboK3@wol~9&PJwhIYZPD-a@AfowBL9LVpiwVmeiUS9oSB zEP7WquK%3Rzt0LGl^`zdbZgc*1WcsmUuoP^eEIq9X6x+eo6NqQawO%0I2n*z;?L3Q zg+ra8LD>@3MMYoT6lPyQ$?7CqmEa%W5?`<%5+nYR73UYk`_AwKQ&6S(uZoVAn|U;!Q$X1#a@SNBg`U1&-CFfBzy^`1YCR0=$>>cwvc&iWw9{-Zc>U zuM+clAtl6M>x%6o#5XQOS(>|`96zoj&$O3b2K@8zSoeNKg;uV$LM{ZRB1;L5RKqxV zZ#D?L%5-_$3W}pdd+hm#F(9Lxv+ReXhr$ILDKB7}YrR1Z!^OOV>yu1V7HnDv`@gR~ zM|W?r{LLz|Tly3>>cM(U;onl(^9+au_*229ii_}Kx{Bq?$s^f>^2pxp`H1U00rw9b{SH9MmzG=_XyHlJ!LOU*lbDf?95wrb#$<*J|ISzq-YU@G1@ ziG&3!U9UHMR}Q6(j*2eoV$8K!a7h|qi|f4DI>X3VWq-6MO^G_~PBo&`xbsJtsWMsU zL%D!G2l#MTCVv{65fw;&4`_KIvv1O9#%!!BbXmf7G8#g_DVeu1+{;kh;Dm* zl+@=Xwf&k`z@5Y1^Gp9TQ!CverNVztd_@I6tc(b(Z)J0J&>x`}qEl^Vw-rU+c#=%M zRon^Qqq6+GdXhg;{eETXE-astxiKLh-bw_%We4C7NDrMQg$)?II(#)XBc$fG?bUK* z5^&sa7GO-nw2sCJxHd;&iB{}h*>)NViE(fyDu}?9V_f7Ft#MV~=p=T1 z$fT4-c8MEx8MIyxwSt79vSiW4d%gjCiUZMVn&)pL;3v8lIaK{GpfTO@C*HHK1|N)v z)6D2M4~#GBpWQ!!3dK5~i(&w5UP|RfW&*k6vP$3frCKJDNFHZZUyUr^ECxfDF4MZk zA0$=H;yRO3L5*>kaliZL2sp>$Mpn^r zr>k-XOQdMIZmR-rR9_PIK0Bf3gHc!UUs=`dO>0UjHcH{`?>6olcq$Ns=z>eN!weL( z0P#NDyf3)Y5xzTm=Uv#J4SIpI-=pQNC<=`!w`mH`jd$2v0=#E^B7c545HX%zwb9x7 zK5J+l_G>ch%y=xk!hyJqm@t|=&GJwqGUNz-yX%u=(Sdn%1tPl9B980nTQ0%R3P;_E z^>0}$#KfPBwN0V)c;B?cBZPZA3ES&SjlR}(4EMAAc`1-26QXn`TC_Ukt4-AL=Whxo zjdHsaq5$J0ItVdX1w@VyOu=lOT8mu@+NlOy-ax)TUi=SO)*D`d?iM{Tm+)wi@e%&- ztO^XzTWX()i43<-;Mh{pEa}9pZKwM8+_Ur|kS@CDM|*TR;V(}mwW2PHLk%TLiO&L{ z5CfBwj0&QX{&`NP`puz#lTdD5e6(CZv{#5v1}@hLyB`1iSwZEgx?Nv^>6$LTbJ+4p z&Kg+K%4YJ*r6T3w!>fKfn&4@L%UeVBu-!JH_!XwnmIUu}N>t_D|uYBgcOwZ>nHet+TOJ5_3U+CZM`AZ&X2OjRk8 zhr7eY+>tVrB_b6(_2|HRf^Ur&-U8m8qyn*Ngv68}2fe;{hOSRQvf?R;fH*#LwjvD* zOg#wRqePYIp*uQtA4v$fQ6yyFI{U96D-8@^A<{|MIgXXI(60ipeax;|@vS>>e)6s) zcEZrjPxg(HmQL4atN5&}k?j}d&%Et>K1$4vXGt8wtII9P%=}^FKEoe9Y`Xi*ZI<^nYMQ2jCg%)IP6DDLii!#St5HYCaprUO z?CjZd{w+tQ->Q0VJ#|yvs#~=A3RPlTP0P2RI-9hAlI`Yismi-D2Ahl+QDE?x&BWBE z!{suWrJtwmr*36rX)!&`yW1nJdXYir>J*JYoM&j`T^4eN?TVvI)vAg9j8)dHu%w3i z;Nyzi=ZUFr$r-Zyu2A3dL+(WN?dr|urqvbtk{WcY)>tOmyjnHME29h%F)_pn$Vivo zI~23MmHRS}@m${!{L&uNCd~#n}Zxcmc~kv*8`VE9}8=sxt^yT?<1& zj<+>R%l6}zVu7+cnOReN8r5;vW6y-eM_tiZUS!bzpc=m09)H?&hn6sKwnxf5?&|aO zc#+NvraIfzcug&q16Lya7OZ3f%ql3K2Il?yxNAn?DhVsfL$diV}ldJUM}`cvbqa+C`q?h1(i#e2eD2h-D05| zhSH9i`xyC>$*$kHPp2sMDMPK-o@@Ms;^|8fRo4wMw$C0qUb)VpRkEvi)k_u6n>4$W z*FC-DwbCegu9mwI-vt>cqfFQ;6?72xB>5>{-?n*?FMb)6B9KA<%*jnb8ipem%-@S9 z7-d2YQn)AbU-Mn}9FZ@nsZoy9$n3#scKSSKmZJ5(inT)M0p zdG;u7<3sLG_&d3b498ivJ~gm21>N7-vB%oMKKWANGBg;=MZ=t{{mBHb9&7zG|5pTD zGxJXSrxim;k0D(g`4sJNt4t#$ASR|4mLch_G_p@Pp?JmEAp^;xq7?{65B*3S><&T= z%GMGh0?rv(ztkMc!NGN}ifl5!cT6}L@6U)`r}Z@C%$BXLxXc>12)*L*c%gX%In=_L z?%RgN8|W{g?FbSG!s(oW?Y{M;vXNvuT(!Es9>P2UIZIyY^6o7+>-Lp)2HD}wxoR^67lQkFXEDE>cHCYR#n1WiV9UDgJRE!#K zs7A>(=mr-TDzS=uYUR_n+QZA?KB3E{Sci!cI4P@;AYx4#w)Zh&cDXCKS&?_%>z-D*eke54XSL;fimxwp_OeO+J&BrAYZJD~OQI^@u^r4lO z_sMl`lvkzkC>>4}&U{iC-js|byZ^g9Kk`yl_8IS_owDfD*FGHAeY=FBV@beT+J3J} zjo_$J?rE^G+)AD0l_?Y#n5cS(+%bB;udqPUv#Ps6TaQOgt9l(SqP=?2NKhkJ>#fE* zk^L)G9Pj-H7<;KxBJ7coC8p6bLDan3r(KdM>*!uN^z!AnPBrr0?oi{Cym&PDkpyX_ z;Fe?vWk25LetkIQ+}r#~$l4bBK-?+vy%NKoX*F$K51Tax#@r@2CyX$L12!a5;~-EY4QoJqRvO zVK!H4T$A-b)G{iW)<67gaOj=yqXNzI~_Lj5%REB~@2{{vQ_0IbV=iCslb$JpjkJlRt=UVmmF4~xPnKWOTm5P;MrFuy{ zP|e~&zh(bQK2Gprg(cJ8(M4k-J5Jk9Lo26i7|MKR8)vyprr3Bd!Pk0YPSd3ebJHD( zf^w||j*Io<)y6tY#F>wdO zz0`={Bpd1MgBzu%3*O{Y*-9Q(*bw9@v2Dv0@IO~L7{!t@LEY!S0>S0Hy${W?dsJZAII6S%*LnDm!zHn*I;?WC%AX1OY!3izIuuI#Tas`feVOtL_P9vT)liwzpOSIiz4DYR;3kKJoa z?_a;@di~frUGj?>l)N9a8FaHF@Rvt8gngov{EX8#yH!tS7=TE>qOzfgkki&gg^dq( zoHSw~TcmkL`PLcP-Xp7*Z(J6+BAcnKAiwG(>T};Lkt4J1Rh_Q?n%J}YqB3Vl%4QS? z*^_p^qaA%QDr-GWg3!Ps%|?IxG%I4)tbj+on2;Q+Wy|SQ-p3biB;7O$X4FUJG+?Z4 zX(vVnKVdK52^y0LDYkKl&$<171$!t7s7O~;l z$O}7US(@s+VNhIXOi(q>;R*ZJ)EFU8T!z>EN$S*7kF@bRz_&*rcEb$P-P0PodZo8Z zqZMGceFIyuJ2b6wJr<{E;Jd?}N5r#cF6av;?h2rlTn@^8d(3Mo0X{yKZjRW0YC zCL0#H^=khM33)ADE}YPh8B7H?7p?C(z}errZZ9-aJ1$#_v%H2m-nem!AR+3ttmP&# z38TSi2>T-z^KJMJA#eR1`XCA>{HTN8;e|^6gYM)_2jbczt3T`a1B!0}olkdDDDDQM88n zzLc*vI&TueUZ5C)9eK1IV(IXk356M6``$+3A)cUIIXw$&HwC;I#ud-(22`x5x2Epn zWlNvRe5l5EpJwNNlrl;i=2NW85_KkBp0j9G|I>pva72?>iY=;~LuhBe2KAvynh{D! zdT)G`r*L*^t(WiR+YFBEv_nn^@=svZ**@YUt0=M^S7x27M8fU3jxr;6)D2_pDBO`) z&oAKk=)~tACYJwHXog{d0!9{RAw=m&h^SXXpc=1ZoonCfetN9+j^K4bQGIw`5Qkf2=Gd zl_<{COVa3ZCZ2!spj>KdY6=@QKiC(wu8)7q-jQ7C1D2!*oCjByE0^;5OU!KATHT@R z85_HAsVgO7Gr7;Y*iVM7$m?=4MR7^6roL4&*!MqOai)WWe0FzFrLgw?pwI0Gvz}bL zQkMg_tJIDY@3#;`vCT3&omsZn9A3)LC#3E^!e22J+@zl{Mn}ld|CEdTmW$0TSO^^Cy%4I-nz91(*^0qTgnJUWqX%LJDm(8vmTA>9zH@!tM|>0(wVD`Z4;E&%1>%)Oad2 zg>K><7ok`mP^QMYHtQto_$XK{u`%<8EDL|J^mraSX4X3;9Ct>lM>YdTm-Z4oactq+ zy|Y~|ADp5?{b*88iPSDRNG;lAkI)_$iQv)ViN9O0Mq;G^k>s-AEmYp*8gbde#!|5B zQ=M+L@*}u`IcME-kFl_am{2!_yK?)yeego4%%sw!<01n@-u7jM4EFGP&}e(XEvVVkt;AS z(e7D1$Mis<+k-GLUxZ=imFLw@ro;K=_HR#8>FqoWO&XXRloh=aDA;iO`EUog@3bl< z9avUEHYhYE$y!u%_K^JHIx@X<)dxFK0eN z6C`XNW3Dfwb_z;0)gj*yHqFwkIEWOg^LjUB&!>j1B0oEF*rf1w^=O06FewKYJNwyd zE{#|UNfUVNf-=`NY+@QW3CJD?&QI!jG6zl_)harI823HH(z5YZQ)!#V^wN{K{4?F_ zmco{_#S$8~tr+|cZ{2AmF^>HYg_qGVIOa2tuPta z(Ve=UC-A(#Dbs~LCR_OCaOt!v=k@um;H6LaC+)~cy}b@wZ9z^U_-*cO6IG9fuA_qA zpH-ARHLqKU&}7?4Jt~29ZJ#pOsQhkOlKiObn75wae)n@Po00T|s2XX>oLi#T&21DX zKb22C@Tc+rc(R8ydxIT;U6&{l-`*221NkNR`(BAs|4!L|O&uDhm2siA3e(=05+2$i^tq!RH8=7`A z>eBNigmTWlHqswcSz`B9bKc!7pon5_4=^!st0Qp6$yaCGMkJewe5_EMyOpUT7?b?+M9yKiP`V{7l??&;+X@$vHy2n-4i2?-4g3kM}EEHorI zD8S#($J@)p#lgVQpjU=f6|B!+n0yCr^(hxg)j zL(j;pYUJqRqn($pcAq_3L5=jZHr7;>loXeiSJn0nPc5uHdi;2Ed8!vynBZ@tAtQWV zKu}al=E`O9^QY;lND1)?57RJn@SHoxdxrZI7xy_q2{{!V{d-1ww{OaboI})GQGGK-X7s(WMt@}V@y4IN(hxZ_GV(-RHEIiEhmbiQ87`g96!5{z!5N|HW__i-2KRZbfN&sI!$zcmZmI936BD_5tA$p?(hPXWn=VYjk50<1Cgq z3av578rxeaabvedyE+FZ7S_QLu!{5$8)aDqeP@Wb)lF^+T)e|Hl&^AF{AW{Gyo%eq zpqYWz#&-U3*(K#gX`$9~=T7oUs~H;UC`yTmOGyYES&HIkg{*KJ`1qQhtjP3Q#(a&i z$4MM>dM@D|6CzS|WtK@qh`JOfibBCHJUJ^X(N_Ui^Nw2;G|T(8Q3@on1cq#Ht}V$; zj}NxKd~CHmE+RT6%-72=8NNwK%YO0%4Jj@jITMcnP*Y)fT~lNAtD+L}+D3ZUIB^CF zQ&O^v%4?yGH93Jw)N5NTHU*P!aPe_5_MWXxG$q^cQ;@PsX=q7O!PSXrrH&XZ8l>gu z=Rerzkrbk;5KA}(DQfR+2?^Yu({QQ_D;=dy}6oxTjUGy~Za$LQO$I!^+LWNlS{kvobk2Fg&&RaBF7|1DAw~ zmi{Q-LVZEw!bhC_?WdoJ$p~Id^>lT2bq%j$k{vxt@~St}^ADXAP2}$VBT|9S!<|rl3bVX4=#!+Sla*UPX!HMbqswjg~Sg%j|_v0~~U~>tQMbIOZf@MP;a-@&Z*z6Lb`ZsM!UtDygfhC@LzeD9T>GeC4v_CF$#mDr#zKs_NRhT1r+OHN5nMvVFF;o4$vfwvUdG>R)`zZ1a0LO2jrJ<>#t*LEz-{h`=k%gU$yNjLWeM22BU45-vSFg&+U6sBp$v$gp2Mn(gZtT75j< zk`ou3n35D97aQzs71s0^8=vUVVKOQfZqB2WC*@77O|`D^GaddokH~?r$MZId24)mi zG}ITTrdPK2_Yco)e@4iO zeEmbBV?ul&em>6kb?z8>_}D6nNnDXrR#z0`VWTH`Sd&^b{DI^U_DXX>c41j*VL?f8 zdQ@CR|J2Cf+zSlC<7b8VxcMco-_pFNuXI_ImmdG+d_$m$ntu^;c;^5@!6%-R673dcnlNcYDn39qh?yP)G zMV{xhZcvbeEd=tw+RMjY|Bi;@c~Vrz^cw<#y-`?W8xqk7ZE9(4X=!fho?Kc3-%N*1 zOwY~7dzzV&>a4oeeRahfm$(_INpLW+Fh9KefK7Uwks1Rv@`QkrhMwgVznF~tO$9}D zLkm0i(Ab!;KtKPW;J~2p@Zg}(h}iV}{G6=J+_I{Y%*5E3NXS)ULcyEo=tK?mG`y2z zU9BPhK3=Y7$^s=tF9m-Bq}m0F4**j(9su5 zvqOW^bF=e{^9v8xmlxI^Z>?{=+Q-BrB%xwB!Nz&&%w=O|Yh_^(Eq5=kzz|<2TXO?_ zBf~qYT4rYQ9E_|Kj~^XAbM>~Cj-i=3h=!~z%q^S)k`uxMf@0FMQzB!s3v+XG6T(xg z;BB2fLsL`3gJUE0QINQ*rm}?agxs>a)*fV4K|xl0e7v`gk(mq)AwDi4F##Sv0r6pS zGEx#!^iPVTbSJpZ@CgW9l(@)u)x=Uu?&2w76aR?Bl$emulIqQ?suuT^H7xGl(DX|yDauHQjY~?2j|>m2L@J(>>@!8;|ptBTaPBgKfZBq7@KHos7~<9>>TK7 zZEWd*XUBwvMTCSzg?f5|u+`Jq(b?Y4-qzaUzR_Jh?K^k0^zPlaeBk6_XJ&l&_AL`H zH-~^Q7ag}uD73sVFDEN0HaRmTGB`3dH!m+MB@x(6Y*b`q7?@(9zkhgKY!TzF3Z?C|*JqgGWR0fEp^$%;}M>P1FKNi!TiIE~0iN>9&BjgCuA zO-oBoNs5b&j)({g3JL=A^o4-pl^B;D=SJ0ax>G@k`m%#0FkKhz=X=0vi6~=nW2W_(pp$^Yg<=O-|Y5WadOww zx$cgl@Ceg-ZkVrlpweYuY6&1FbVehJ2!TBU-g!45f9+SZwoAv zA`(JZB@)U@8{6Owl_jMmWi_=8u=;vveQkABWqDaqJ|LTycko|+VPRo@PG(9>co4+X zR!99_L>p>gU}B(eY`D9p3(-0-*wfjDXl`zXL+h$4z?_PJ5oKkhr6k2frjp?<~G-72ap{@8(5^|Skp64_KER75FJ1ICe&PtAk-5zz3qZ%u4wIoHozL2;V?vN zYYX^`06*a{SVL`XO$~rnRaseG1Ef-3n3Wb65#s0N;b5lcR=K>nFg=8}*O7^_vB{CX zp3e4;Ht=3!eQix;8Q@WVUUqtVVt9O6*Cq}HG3MJ>+nbxucAsp5^?v>FCpJ$I=eeNySjUOdi%P%x;l_8h~_3Zyb0da z2!lbP4K)ByYC)8y&m{G|}BVF+T$i@=((gql0}t;GMQsL=&{GrlzXAth69M zH#0Rhx@hzz-eD@Do%xlG^^NVF^+#_%VZ3|x4wsnX@S(%Rn6KX9;$jm}kYj9&!{J3i zVM)dCCRlUZ(8SpA@W{~c@DTdP;1Jlkb#--ibRgT?+rS`j7__FeFefc34y-|e!1Me0 zC)FZh6|Jc0anv+wW^!y~2#u({rMU@k=m1bjVNPy(O6}Ae!b21kc)K7JTpnB9d$x;@ zhk^Cs6)qV$H8sJ`@;qu~_dNy<&hw4M=8DpcyxOilc@3Bu}XDvAnn(o^DMBEurXBjXcdGvTm=wEpE8)YQbx^!WJ5&;Zzd zwj&Xr0o4FN1x1;~%UF1%zQy>oi9vnjD8+}_$)%;Gx!FBJ zQoI+d!_C!&Wk}TA^z!2D!u-N4Y8Ev$IX*Tz4*re+@@P!GeLdZsZEY>knwpxj;=$tkD~ z6B2xS`Qgp8$1Cd}u(960`LwuzgOBxW614!(3?o)BKkaQSFZ9FeVV!du%ZoFU)1YB~ zeg^d!4`96Sp zsOc%#=!X}p%L{W;UCl`3=)={erOB~Hz@r%yYJ6;ba&iLwXKZX3$Zd3ZaGPEAaVkB$ru_V@I3bab`11MTiW0wwS6>h9?u7@iy(2e-1vhFU5I z=7GHW0U99S{=UvGAYo)%TYD?AqX$r1SlwucR_5ndHo@zvYhaDg45RdgwHMnnW5ZLE zV4V5>_NfJ6rsGp1qYD!wbAT@kQ-i2wpa)Yxt5E}Qv|`Rqfp#Fb znQ0VIZnPeaj*bk0nGX#N_V*5g>G$^a_xAJv+v@?t4FF+w_VqL)+jCN3t@Ty)UFa@- z-92C{2e{bZH#pchEqYOv$OJDK9RqtSO30Y91LI?i~Qs#{mOTlYN6zXn6x! zjEuPF?QgRB48r#5& z1O0%zlYm3BKw;36ALs^^y(2Ao%`-rQmKK0c&j2f%L(R@j&j5Ec4!qpZ;LzX~!|wrt z04}@}IGHviSXP=4Ep4qW%^)3xL}VmZv_Q*BYN5q7y#sx{z1_XNU1-sE1Hp9-^no7iGX#)Fhd;||ps%~PySp2$)a?KSSmBz1BSsr_eN|<3Wn)HI83>1)nroreHOMX? zTENC`ATWUaK(o=h-BMZE+ybpmj7)X&fg;-hWDuGUkBm-COaaRnL;Jn){`P^1VPt17 zv<0}pzK#~;$n4784am^rVe0p{cunDL%;N)k09sv3bEDWec zS9=$jD+0J97_^}QaHyubDyJwZ2HpVeh61+(t%o-v+nbt^K%>D@1NhnA+Sb~PKms4u zR9{Xd+OtgJl390=$|W@9zfMf#$-{=-5bqS3_RS01(vl6fiGf z_*3I(KQ}rGxCi_-P->tMz`3+Fx4>Xc;C!eWl&YHCyf~AL=1N#A0{BW85;*gs>?)vV z9e|ZBt%w$QQ*AXA*4$kcpPZZ!8w3f+MF0jjx3sjj15XA-3+4%6frWfz6lll*(Eh=J zk#WF;;i0aUF2JdYaUic*w9Ox=(bxeXU?aU?)?mR0F>XU+T~%#)RatR)L1|8Q>MaL& zS2MH`4sSuW)tBa`<<$c%Lo~x1p$&D=+M1%`@)9UK$~G_}$kQtzFtHNZ4X`FGmzJNCl;Se1jG(8te`s{PrxjXI+|t!p4ZKBn zZ$EI#KuTl7V`C$u0P(;8@Pfd;fPS_%H#b0QtE$mqc0o>dMp|M*a#TW+YE_LZ0$$(N zTw9Qw6rEfTtE&S+Z)r(EeqK&aPFiY8LPol$t&g|2iDOKC>`AvA6-OmMxtd-;r>1z&Yu3> zE)n_V6;(A2%`I&mz&Z{<0MH;-hoK`^U{N(S6&0n$g?U9F&BSUT8dB*sUDMTCZ=1n4+>c?1L`RhC!RM)>9xrRQX3WTmC1 zrlzN7WP=@SF8EVeSXPNcx9YGQKo@>fu~nYFIf1Gd+G0YSm&5*i*GV=H?8EDPOH4)M#sLjxkgTYQfhKMz!~J@>|kkXZftC%r?0OIQdS0rMj$Wd?rU+5p6|M*p3?avBy{XlRJZ*6 zA?OrYPzX@dgUlGnc=&*nmzSrfr<<#rhnJ_jr;D2>_=lyeo!zYM?M!X-H9dtMj7SJb zD$AG$28M_F2l@L4fNUAanR$4)J3lbcyL->f#=+joB{(iQJ~A@Y*T>7r&ivjzeJu@; z`9i0>6y&boP`IV8rF-AjQs<7Iv4xqjy1-Ft!Y4Ea?&cQuRu(pP&hBo`4tBN=tgWpr zEiKHb`->n-r6qL2@nmTwwAYPtcUd|2<7KV3q)NiZYym3wT%4Mlb;^Jc9h)43u zwHr#ebwHD*#x14Wasr$*6z9}6RW#M*mDI0XkWjj2p{a3OT~%3CRaIT>ma3ZC zo!g3vH|4H_BW;<>l2;V2UcM@MU3!vd^aM2x??pLqgsgo>S4&+(UHO)>8hBq>QRMrl_u^sbgq#S6f~A#uZ6$`YkOXDtw;r?5UHdPH}N@ojP^;tbmY+n7Ejj*rm(h zUx|~EmJk#WlNJ-cC?p{#b%L1UBtPGI5pY5!2EL8%l9Z&lxP-(d2@!E|k&A--e0)5o zxX%_jx)2ev9Zw8fzNa_G{=t}Jw`(Zs!pEf;^OA!<~_^B%@0l_Ik``B zaGc>LU!DI%e29$VIP(cs4h}YUPR>(Yr+LosoH@&L`XoCG6B82yAbE^|nTeH)jg_A< zD$t35h4wJj5J4RkC9U!qaY$Oafx!LzI+9=osjkPMlyr$;QaQ#6*AOC>=>#Xv5ye zr#m09uyOE+KrV#}6zU_#j?vK49X~=&3{J;Mh)IbFh!2q-BE}^oj7<=1VLh zB0PM&_uEfa=U0|zXQu~1kcKcccK~_hh?LBnqOyw8tmu%4hyYJWNK|54Qe=2UNN93t zJpwGJVCOQmw)On&+cy}v_=H4+1cam%ATdCMi;4Mmeq?217&$UGI|ni%Phaf4|A>i= z4NmC^@vt%8zj^um^@q35AFXdZ+I;e6ACm;zZsqv#;i=ZqxsmZDR4)=%oSBxKkeC<& zake+OsZs^)eU6JyMt6dfmzRT?or{x|nSp_cf%%+-5ZiHDdJe%$vUfnTHZ&|GJT@t( zx}|GiYH4-t;pXG*-4~BHA8$Qe-`ZRpL)KMQmE@Jw)WbT4C#R-o7MEAoR#zTwE{$|` zw6*n&j`o2FxxKruy<@JM_R$C@tUe(*JuW^i+*(hC7qAjO7pAA?6y{|Dx0jHTlA2eLnhr-g z8|1J=$2sY1Uc11CKLHJ1Qz5IIa=E3RoRhnXJ%GJXpOaeF(q2<>2mZch}lkW;$Sw^E?wyze8fY zS`q3E9sw~euc)Yq$T{$RrW7|W(BV8@m}oDK^6{|M6ymsG7?K?CV+JYTJ}znO;bCQ< zb>lQfL$Ln&kM6Td!`vR(4c$xogrsDo*mK}_O1(XWp`cwXGd}6H5>??+6HR z2x-_@nOIMs;XJ`{ik1EZzsNaGo{JYa>8J@m;B#COXL*(K(p;lr;n@x*ji7?&eUHFk zh`o)Io1>+XR(f)Ln1_+Jj+Ua>88!x*V>FcSYhAqhXr%5~1|;WYM*Dj?8OWSF%}zcU zEFmBx!GMW-gz`yk#lj(u6BwyU0!Ug38DV|_epZsF9pTi%Fq#M!pY~9#Y}=y7_Ti2+ zvwKl>J$;Bg@XgnGl^J2-iD_{j+!scSGe>DGtG3DLn3?I1QBzS6McC0`0?6kb)=C96FCVL zo1mOgNd0RD5!p+eL|c=CEqOs!+KM9VG*l$7$C|5>%!T+bag5u#)%V2TOMgQ;f9eD@ z{!(;aT69wVG)OTqTQpOuhE?={1A(EgRa%?1sU2>LOUS8d-BFemJ4=T> zR+`g_an?Ahq;+t5_4y|ptk+Au;NO!=hyo|*p#h#|YL_p7^o-c;2jHMTEFCuU{PosY zQ%P35j|%<6hO&BO|4@H>T~642kz-hoXU0(*&sI8%v#UDB7k97;@wTV7jw`tMdb%ad zaag6bExpFX#`*w^bYp#G9)+4;eYiMS6IWYOR9=rjA`#GvoEUFobuHV_yw=$lm^j!U zo~=v`gR_&NvFU~N?U%1#JenWt182vG?%9{P#Do}+W+vx19&fHJEUm50c9$pkyV+S7 zs$Uo9=VGSDd5A1Z&#FLlzzZW??mzI2PRq&3E=E2-a{iW~9V9Zlp?7L=?a`C%$7^$w z6Q~7n3<%DLmR1+X+q1Ltipt7M3bHdZvkS@_TKgtfUSN~avYlk5A>3V<*}x#9<2b{2 zLFl3oxYNSMM0flc4LvKjza%aq{eWVNo$r5z$MRWv^cmJIBFD&wNTi;@VA>+Zy0{j*6l@xN@U# zOGOQ={)%!}!P+mv&vA_K-J|7&dDLiEV_9x`DhSNtB13}$0s;cT`Lj2~KQtyOEi*f> zq`qTp0bDj5>T2&EnwkSANz-8BB;=HbiLu{2UYZ^So4cunjprA|FUu+4(KotpW?^Mx z@9gg7joyhlSQ%?8$%+f|^P?C4Tk3j7=GJx&j!w?NpSZg^*;<+y>S=2z$%=3t!`qpk zoLPOkyZdBu1PQGw2Zzb2;BY=DBr-lVJHM!?FfS`LDJi|Mp=b8di`To`o2$z!Ya5TB zzr`k|W@JCf!9-2)=HblD!##XTM$R(=w-i9ErKW9YX5;AQ3Gwv@_o0FV{UC0(_x10n zDk-U`Yu~+Z<>2P!;~y9du1SS~I244BZccXArUq(PFR+qhZq3gwKYfpli-YlEu^(Cp zymd%ebaGyGOaJ8j^6~;|9PANCrk5Y@zInH|v#~HefdY&uY5xtXc(-#&fv z8jp(YytIOfs*0tBxw(b4os)+*zyhvjg@8nqueZCCt(CdiL4%v8H%K9UzPI(c72*jp z@+Nw>Z%Fd9A0^s zk5=aASGPYAQ8RP#UAVx<#YBnsauqeR{+@*X>?K95duAZEL>F@)EITJx5A>xmU$6=I zQo!~CgyLUIU|;}0)}))@v;y%Gd1DICktbJU@P4}GC8}jw7fKr8XM?DG*p#< z9ddRq$h5Z(pdLQ|fQ3g$OhQZy0s{g zt<2oQ!qO6bx6Ibw(b@I$J+{w~z;!ebn*(+7^l*1`11U~WT%4U8Y^}{r?rN*ul)WT$ z?i33x6)8T}yXRYL3m`WEjzGX6&A`wIFyghX7w<6fh{>pE=$TpBPacGsCpp>KPOvaD zF)}hTF|&Z$)8MX$sN@wnMO6)8lE(MVJi(F(a`4|3FZAvJAV81pXb*yPa0d=Z)y&lN zzKOBXJ;S>O`g-6(g@!t~4yULff9@baM8}l#1w5wwssB&#^P!JUslBbSN=&3fc=k{ z*grYIzk@b_2;x1_-y;B0?Zqz=74b z0-n$X-3iSF2?>dR2Q&VhhM3q_jx-C4eu0N*hM}1udVuX~K_KAY-~d<$<eFb z*ZBIq2*gAHn?SZ5ocn&}*O#Fs#KnGx=r_t=;rtZVkBvV*|1gIydhoN^eZ~l~fuMY5 z#`lO2U)b}NJ~#q6C|{lrTK`Tt!1b3ed_yh<7zGFH0NusEvPcv>{YK#{nBPG6{?hzM6u+bQTeG-$6Hx8XxPkOVzTrXqZYIA+^UF`);C=@PP56%#zI6DFL+Izv z%m8_bmLJ*r$M=7&=G)NUvEZk8zOnQxcfR5Q@)AQI6a8!!zlP$+UVt6H!TJ2*OOGG; z^tlZf>5uIA-Ag}G|69*L;Q03Vb1GjD{Y>qD{=(m_{cUDH1@<#)-*^1R*Pr$L*Xq#p z{~)g~gZ>4@gSXJ-w-0~O`R_FSlrf(xe~rw)PmjOO?`M#H4a;W+{d(X3_51}6{F?>* z3nTt@m(O?(tmv;h{-;_cK8H*{Uzq+O5R#I=BmDg%XgOH&&~E-88vRGIlA!#6=W_-4 zdC&w{bg=0B_~JkF{0BIf&?vqy|IE05LiI;DXjXj%^V_FCdG{ZvJ{bBN-Oo>-@qDTM zUHdcC@8SJl@BeY&e;oK92mZ%_|Gzl!pNchqnXCVGfW-ep(fF@&sQJGP58_vW|7ZG1 zi2rBC`PEVW+w}P#!t*aH z{95-Xll|_kKkxCo772-Fpg_OP;jhO0m9{^O`jeNw_4%<84Ik0+W9@g(|7YgvFW&tZ zn-GXUzW7`A2c#0gwcVeWgB0cG#y?W{*K5QsR%`bESl7sZ+x4iDR{O-3T^tVsn^+Q)SH(&fMPkuoB3&bz* zzdZe4m_N_xE0mvL`4e=1QvDh20cQ^&emA>=3OHaTI;H$)8gPL6fGy|&T7N8m9Q8}h zj~&6UbN{S-?)LkZ&yYXE{Y@*HMTNiQ;?WI1#q!4?LCp_6!7oVva`_SOH(UpwK=T(Q z-^Kvfxqg-W|IrnFGwd%({fO?%^IyL6r;VR)qJ19m>*qiD|DV$MwT6Rf9gzO5|DO!> zH>!Va=%4laGRXH$e`DM~>H4#Qex>dkxzD}-g#6#G{zmOrQ2bXent4RqQrK_H>}jwpU}de^}yGdmaSt zjLjZcn#MZ<4<3>OhaWa3Z!D=^L}zVT%c)j0vsE=u`tu*sOFm93yu66DjF^N@g#b!g zK^?DJ9Zr&*^_o&lU`0ko&3G*63L^k?2U(EO?k0Ih&gv^SwKL2-=}=LZ%NjFaN{{Hm zkuhG8tQs=et?Q{emV8=}(U5`6l#Cve?Ae|j4>TQx|}LX80( z|F_a@WCz!rQUSQaCP!>Jsv}+XL?vrZ=Sx+r^h>RUws- zG3&7&MLpk9g6_Pgy~_pR1j$Y^UgTfwbaYxLox8Y9=m=}W?Co+fXI6TTTYKV1VueDa zgm7Srs$ip|nWclcDx4Akr?2DG+T(j?&L~!=70?4pQc#*3^~E1lP@$^**(bMy-b1)u z+QI1LQ!yQE-V0%by{Z<+>_C4^hq?d*_u18HCKwTU^H)^oPO;ow+(EDEmlrlLa+h#6 z8WGh)v1~e)q##*!DAbNG)k&aM;kfjj_S-y;FpNt`M$BNrbAREbPUP=aVJJ!)M;JVpRu5v@$@HIc{vdg67Y( z;#FNnCuH`EI3m7vRqG#y?5{LQ!HS}V09)-&V)F^I3MXn8yz^+3)ea+KrB#?rlFAC@ zH4s;rVM~p^JMbLFcidR^nB{6dtqnnglkW(6sJLv;se zLle(=0|$5^PIz5~xy_)Wg6t`nQZBu4k|o1g>uw&hKLv>v&%beH!wGSknM}hOir+8k z^-_m|LPKvR9bjwNlXfq~toLXQKONKe9`7veh!~;X7c6Xs!KY=OA|dW_nmvmPiO`CH zfaUz)Z(Gntv6}Lh;e2(K1Unf~H)+9c3`-Q0DzO#hlss$tju7h&Qn_kD0cJM!iZs5n zQtT0Jiu*8obM_9=?Lv=F?0;4bXW*JL794&tT}~7`V266qsso5N+@y(IpNmVww9#4% zGrl=$Sr4>ytX(*Q>`yncY4;Nz7tF11r>@z-%A=B4du5U_`-$=f5vY}=*Jt>YWFhzb z6bm0Vxh5^HCEL%!gt^nL4GU7I#0KInUzT*YCz*YGKsvxK@lNeJksR^ziKI7lxlVFS zlS1oo6}sI7je7O!rA(WfcLHsun|aL5ds&`d1AxX$(}F$=(|j?Q-5~^bM@>J$$0W{4 zu8hzNqLn6mRq&}ttm!o^`fNKN+=AS$3(a&?a;>WHS(~dmfgl}z!L85)=9BBLEUaxE z$j`_n2V98Rxl?8&(As3fsqZV1@Cw4?1qd}vmYEGy3hi;3MuvA}>q)eiIgDwxxCX%A z^HO_EzWJPp2i~tdYgIhu_+(w_6$KVD&#UFu9xlMZ@h|b|v)wQ>HaL5p$)QxjEn|{V8$xXFythh_}9vX8j`(Cnf7#)=i=!+2h|VeXN0u zE+puTVoLJlR;Jkg*?DEP8a<~?ghStmfOJdZ*rbWS3L+z7V8 z#k#A|V%YF+-FqXk%^{CV#>w2fIFxtN5>63eBQ;?yJ)PQwD4DGm>zp7IrXKE__&h(? zKjUo>9zikLA(5tgnAfrnRMeux6Pj>&CEY~R0_^p(3n+ikE;nodF zSG*dz1A=77BGrbws}t(QO+!9v*kw+8JqG-oo?0y5xtFl@JIxvEO})qinbp{i zqyd~LHZK;nMnHE)%IU#^(3kDH(iRF;5~1IuYPx{b6)3y4@nwKzn)MBb8LQrzlRL+& z5s9B}JB$^$J66M^=lp_M-2YT`I$| zZM-w99zfvwWHlT+x)taQY;ZuuSZaDsnbkN?fk@#I+*$N|6{r%Pm~JLoOW!2Oh;iKc zWQ{0rI-`M(K0ZjAQ4WA8>Ie1|qr_{z)+)Y(HqxAs?n0FsyWzEfau+1AGTI*MXI)k) z*X9swMM15b^fDZGdazz+x|QlihZ4`$_90`7i!0mJIB>KmL3IjZWJV+GQhb=J8fk~y z`ch0NHoUL^pwO}QB%-ONq#Q~}ac8%wB_I|<6#^{S^>2Hc32UZoX@u_hhIo_adq_g? zcI;GI1ej~6`!9hvBTXjQ%q&`W4k1Q`!Qc|cL?VL}YS7RFV#27IA9pGW|At4L=y;q= zOA1CvI{vGyi1g^jwi)As`yY9G`QuMi_3_BL(>Cl%{3@}}DXZtU#QHb-26HG$*>)0b zMFbd?r3cn3y^Bl<{CM5)7G0iw!X`hss5`G$1W0S4Xi9+;g0EE=DkNE3i2=?jZ`Of$ z5lvOY7>7_T#|M2qZj1hn7L1XNx zqQ|ZgYu9ySmy)h>tG9MAQY21!xK|B7TKhK~?!0a&w^7#oTmz<=#>^+0K+I+^ZR%_8 zT^G}gWJ{7^&Zb@rkS5DyI49Mi2>SlrC;BBG*4xOKhLJ&cUy6dzbOxwmk?vUB3@r7+ ze?jsMhIKU+s9;kN7fc80RBh#6rnVyPB(51x7Wy^8o64f7;; zOP%TuZt)&1q8*`9Au~hg>#=GaZA054)`Sx#XJ2gdVDQEzjA1Jj@2Re8H;Lu@#5r@0 z&?np6RIV@qycFa`B9x_*KW_Zdeo1;_YWak;SrySmEQ&}@IfpTAb4z(v`95iD#D1OV z=HRjjhsQT`G9;j%;sR3s*(3C#H*XiHDbxIL$qTNf=|_~f7UI#w$`6#CgUgwGAg^Kk zMkkLW6PA&Tb+!Wz!9-i`g(?;juxn9U%YT3G)aP#mYS-y&{>e~c5JALuE(*c#Wtr~f z>nEm*Cstm!8U+O0N2=D@Rcpb!s=8QlxUEGgDk$Tzi+l>M(}XFZ9?aZ7aVkuQ#gek$ z)|SHcGg}NB++g2~sly77gZ?zP(rZB!BmpMglbGbsTssdjlM56NeNS{g=*zgyP8Ae6 zI^ZyIWNO|pw|k%=wrvuw)Rs~^LqAuc(0 zOK9L1zc0pch#s3gC!ycgYo`SO`L%qtOpO)#X+u(YoREOm833&$R)r&UpEp;;f;tbX z(>jWFbwJzjz4K#TvC}{ux1$+3A%hv3eQv&sQ0OBKMy?Ewc z)|Y(wKJpVU^da}(DVR|jyh976-e3l&rIrfUZG0)OLys17)VOrdXHvydm=5w z6?7U?!_Fnev&7xH2W>`PYa=j@);dAg_RS-p-TL_^w%c2U z&M1btdF_m)Vly(G(?0aHs2q12A&Ly4Qx>EcjH=|Bhdjj0RKD&XG1*rvwfj~DrsvNG zv^NtVlm7Zl=|x(1Gx)Ed3Uv;D4V?hGzMJ0GsK zIK8%qZK-ceOXw&V!$VV`6$XRh8cpTW&a};!%F0+9dr0h_ya|LK6GHOrZ3S868ZPCI2zvXy*y+UyOa+?hE6*Dlq?GRHU0_zkiz%*--R5pFA2p+L~N~_H8N<{zB*a{0dXs8#ZQ8&9GY(D#u$r<@2*}4yqmxVLlIY z1s_E_t_seFxDlV)mx(*(&v0tH`w=fvdK&-G03W9wDWWxd9CRRoEly%tN77veI2&5F z$61R_Qe=AQed z2LAMOIx2G=CnvTff5s%}rs^I`X)Rr(_t0Fg(gr9wUM4>ZSVCHs+o{i1wHrNhGPfiL z3<+o&(0I{p!O}4J_e-5YTsnC4j>Ad;)%IEKa~F_ex!G)7SGr7fjnh!DlxU(LSeV`) zsX{@am6OJSO4PPkA;ZIc3ubO42j#@G^-|#GvR#N9>XnbMg~L08U)M5z6$^d;(`Kq) zszco&a7}A&av@zrK9WSE^Q|)wjZ}joYa@(gWs)Y`s=|xFTB%mP zp@^(TI28^`p|GZUL!J&FHwKN5i5Zv_j~Qy-Db$}dwzaHwBk~G%8$6v8;JnJC9Ze@< zs$N>zb6B*J(m{=pB4|{mWt+sLoomiW9J#CI`Y)<>Mf5Y|sR7{6%P}ZczokC#Gn@T;~H1m_5F z2Dhs9(E`E@)*DGUyElS}r^$E->&FlM$QBF8D)C#I!I3~aH-?bOef|b5R?h12GB3Ca z>VyNi#&KsjQ||G#wcSD53@*~B(sMZo5ZYSPWDQVyDY>jmcXJh*t0YZDNwZ%e*X8HB z!J}FkKGI~G|E`CRVy{}-pVQI7MIu#MbWfK_-Ba!%OVQS;S;SFGzP_mcShA1GqxRih z(0{aR=>4&i*;laXA0QJeE(}=jM{UGHE?o4vw!SwQl2UV~Xl`DX8JTH0F`B{|QmkpS zgtu3rv}v71o{h=$F~mQZmQSP#emLw+Qz`(+s%TJ-0CVE`{F$vZB6NqwP556uG3(V7 z2WQS}ZMv+t!AECDN>n}kNRM(REqyMg(nI>{FjoxQu*fu@haC)a=F72H^`ci8?Dixp zOHm$@T7}x3q(xvAha6_vCb@~#T~POSi5BVblO%TQih4~J45Gbx;z7W4rI^Jys5Cx# zN0}Y9Aa|C(Af9at0|8EQU6ME=WZ?N+aD?M^XDGE;`}mm60T#cL$)HI*KX`3ggN3%B zxySwsBS45Ua5-hzksd))zm5yvpU}pPO?rx_W@%d4sd_ zzMWO>^fVoi!V%q=T$(BrsF543RktxH<)h(k7%aoPj7+pnXaa0p;7PSEahS^7ChqVY zEa*}qX+Lk_9`xppRhy}&O=pA-!O6MAQ;)}A0s*nrY99K+LDTggrJfq?uP;t-VD+Wj z9oY*C>BtkO+Ht|rK_PdP9-*AI|COq@2IVEppy###H4*7Fn?7jhJ7sKGqBQDIy9}ZL z8B>Nq$9;e}N+)2($9zjsaa0Ick;%IfWgF>7>ScwxAvt3yOgS;ts_bI{MXc~M?rV8O zLnn0Tc)$RubX>+dxL(bk!lQ(W3z%KAXl5VALUyJ&*{D1VF2o^V_aEf)^$2W^E^SgI z5Pd6)0Cc4F^Njw;U|#*e;UYXxd{k4_Uy+Phaxnu8i&M5Mfz$+JVmJ%xAkv%m74i%@ zxO;fL-aF*WI2q~X(ZB%%fRlICe{?laT*+Wr669VkMXDkQb@A3txXnrN}AGVI*VJhPVhPV832jYJT}v~O%2-%Xt1inT;(d zuF&FdeT_C@(PETs)jS>#FyeJ$xB6n|XOzYcF7{&NHY@L$MFWzfBh)}8Sh0s6T-D_Kw3e|=3 zhA6yHVSMkwv(*D%eaR(o3Fbz;&iVLLtqRNG17^f42xn&-Yjx#UiT$wa0H5<|H1oHO zn(iL+!eW_y>*^SjMTblz11TsE`*CyE(uDLTeij9^fx?NEC$;U}`XVVdk-{>biT48{ zqy|17I|8{u<tBqB&y{c@2U{ zD6xTji)kd(_0{u4HuG~?<+GPL2SuEckYdgx32*esajfR^R@L5J?|06c8yCf569_lL z?PX3qd&7~xRgHP=Z_vebiEGi!(?_+o*v7Weo}huRVi{4<1Ab9ttvn=~@m{@mk}1`oaK?7bJN!+8sFHnBNZ2oVUL@WL zkC!^HKi@&G@|CrG0%uo1E)Pc~+&^5(b-jPWEWhMj)`H^7zVndLn1?x83uQpeUlq5r zv)`^~pu@(4s-ViFb=4`QolD4`^uvQ1Z@( zvKSZI)&U}$g0WS1o5=IfyS&B<$M)9__Ckbk-kO7y_r@S_%{*<}hRr(9`!?kJUD!*u zHEEeo|FgMU$@Dnvj1O}g>ZI+9bga(*p&+?J3`w!Zkm!Pthp;nw$$fI{Dy?kZ<=U@2o!fqoVZNgOB>Dh6vcNd65uE)Kge2Guy5Fs4@a! zPsen9ew4LiHG zW&`fy=VOfg#hOT+5@g)%Vt{>9$l!bUs{b%txEbKdB!(eiIykaH-tRL?ByaWnNTY;rGiw^c82!Dzk1dwVO~S)q&v{J9D!N+JC$ei z1_hmM7|pIqBsrTsI~RlTPlb&!UK3Ph8uuefY{3ejYrZnro zfemLg{t)&3ey75^`jqoYv2BFm^|?f$#4Spu*C@x#+9q}JrnTHGJ=^)tZ{*~%_fn7C zMFy1auI=X6H><=ino$c^VU3p34eOy${AI5IqLCFmKm%gHke}Zqcxdc;y4rdgU9IF2 z9rhMG-F*5HmSCDr{AZF1!{I5C4WjWgw@B+lP# zNH1$sRSldgWdgCdK{40KA;$O+MUT*9#@;1T&_tRdw2Ra>vm7K|+o7pVHUlc-8N&ZO ztnPD@gt8U-VPwXK?hvX5%cFvzOpIm#eY5KoN*5tM9#mZ>&)!SN+o?z;ep*6v4YO_B zj_PTm%`*8Fvc*vXZnby<}~;z-GzK0`Dch; zMH3w%(kB`5w|49C0FG&_z~dst^VOi7YR41FSb+$Ohz&PbD_ltUHk&U-AqDON0}0ov zDR-!9yJRes*@Z{Pd-C^Ab8rqGVS`cBrI((s;4vPeXkz_kD7RZ*b2Bp3WZEo0dagVt zEKd&35Dt=+dSPnBaJvkIjoG?c@8g!w!DrGW4=Ix^kiC0EVM;eF)slbSI_rPeJI>3v z{`FGOR>(~wQEKyzy+>#fyF{Cu)MArKvfwZe#6>W>fB81YQAAu5zq`GCq+|qdt-Z1c zIrTfQ1jUj-M3PwD%)e}KccD}9PtIwkt!sftW&%>uvuFmC zmalqtO|oA#eLHwswY}Rk194Si!ZG}?MY>v57eYuU&2(>K6|=o;V~0*TgPYur#0h_E z^?1#3eO3uX<34Cvo2ugOQ=tAzE6O-9@OV$5*r}HWwLe|45O={U{j+3~K~_WYyK~*_ z%%{xGB6c-_T~?W*x3-B%Po6pj`xRfL$ekDtpfQ*l8xLh5FgjEaa5>s@y1N;1r-n*+ zmTBT*FrS(julgU?P+DD4R8ii06mE9u8tHZIll>;O_hrn`J>9BYn0I;&ssR{}S$8&< z>y#v^(6zh#^jKbNBCtQdHLVv0TsOK265}V>QYKleHf*=Itwa+Ye@N^stW{Ug@9Hrs zFg7$saEjcW3`5$pNafMLUD$}f$=(Q->shB!R`yD8zqj#$Q?#Typ$b*Rb0o_)p2smbtaH*p_CUI%X@UK6Jk-Kk2BEphwqY7lj z+ZT?T^(OLu_)Q!IbzUm!m@@*e zuvN73DZee^C}Y&_o$U>|mf?vqEKC4yA`^W4FyaWGHR_J44B9IS1Xn5sVtg%7UA2|1 z5T?wRiQ<6{P%oqDqi@QqR*?yJ!C8tOUg)YMD8?wXp(Z9e_(AoWsEC-90+WpKqHar6 zd2^%K)S_H3%rnpa%2F*ibLbtXN=n#7w8SXvuF#EIT*k^zNOfz{rHQfY*~6g#sS8#- zK~hUlJ5=DK>9b=xB>ts8o*>*&H+Ak>V3df|Lp_l(!6tZcPHMne#;+JJ8Io)(A;6)} z=;>gzy7R3d;eXVqc@Ij-s@d&|{hpiQ$PpXZP0%bqIH;*JTt3ia%)5CU5$_GY{yt`) zl1pIn(Y~L!I%*j7BwOx1_z-7p!N}d}h7}ap&ipug$?8ZN=6 zVc1qROckdYa|Qw)OH?T0!ogrJv>w5gK+jhMiwTG48G{(ne#gNBcyGu7{!qg4F$YG6 z(Ug+Iyv!ZEVc6N8QC(argrR}wmerrVl$2Ct)W!#QG3P9jWu2BpkkK)mkzye7tzm>%y-b4nA`o*xkL%6IVyStK3DV31|>NCD>(%r(cL;~@4- zn@RMSL#0YkT2P3)=e;|ihLTvfu{KOxcJ=VAVBZ8h)L!sjwGZI#2Y&-re1@9St6yNa zjX<~*Uq*^(kF#WG{zEtIiF~l9{!cvRH^=-1yoZ~!%IxhX**I5Hc=K_`x+&bo7TOAP zZ_wrnl23Ph-j>D#Tzq`x%Q5(BYxUS6$U~ihE6Aw%{k?^mT8j;@L36{$9fvkyxTRzi z(rmdn1-LjRwiv#z%AHV@{xMCVA*Rn{WCt#3RVWtZg|thdmRy*6s_3-zP5SdUarnjW z#aE$8=VKTuxBr_}II>Ap@Q2WXyu+s>f#uQPJP;oQ@D*n7hn3PBkg-sZOTmXTt`QYw z&s10vEYa#iD2NGkTOEH2Om^;4dgqAOte@+Ks7$jtc8_?RD%VvFMEHm!F9(^dPfZ5s zKIkl9^~9tK&!4C-IL_HP$TMR%k`L9R(ubcsZs1kPkssr3h2`P&WX|d1uYPc8tFsm9 zN+b#J-aoN-{F(cMVb;S?yZPX*Q^FcRs{S?d%17WEn?6$ttvMdei@!FbRK-F)9a5;R zw`zcDdCuqF@TIyf$&Y=euv7CtE%oHATJB9EcnDq}JL)K0TqYwmxhNg;M2Oo^yh`#1 z#zo8(@NO^I`Rs4uG$me+ossz^;C^9S$k5UVIE79LIw1JGDOkvvLjeSRxE)s|i4t^< z5M2G}^|CpF+wI}@;?m$At!Tl9uxkMO*%-8ex|Lw&B@2TfgE8t*k?DRiZK+7yS2-W! z)M}AvwhC;gYdIM8ouYDbWJI=+ln)tH>+P}T5_l{UMGCkeo-Wvv>UTT^IR`Fd$b^2u z{xl$&VSa1WJIricPjI*?>HLA_$}*zXbFCGrlQii7=1qWM=OY z?Ff9;5S%vARR@zuf6+>|u`9!N+)6FGpH(1*{hlwBw^k?JY8AQLTxu*n5$f7N9A%#h zuS2YX@p4Q{9aGi@hjq|vDap($z7dS=aN+%a{IB3~Bh0EoSQ&p;_Xfpe>2K-8y| z34*nL56TFBCXFif=#xW7bHvpl6Q)&gS#B+Jo)z%)m^E4)Y}#~^jD`}bN(cK0W)zmL@wZP{KmF*x zz!@wZ_>3EXow1m5r0y71)L8I*w4oVPmwub_?n;R8Tgz|bBDl1Pm62f52gD|Ok$}-R z`o6d6{1kB+W#z@i+$@O3PS@@bC;>Lxe};SF`Dk%jX!J(wsprQO$BGkHa`HB9iypA7 zcka5Wc_pBH{Jel+)pFm-r1Z)AT#L|!<=uzDkntg6m}cr-Pa5 zIpy`oe1TZ4`e!1hME)Ni9;@eHA(HG)WLX7wa$}xfw!K4p?x$k(aKpWxSN{N?W5?Oj z;@8#xE3Qm9%D@Vh3w%!{C;bZBxaV0z#b!$oqd*si|UoVxD`apDN4!>{Fh(jWgYeAu8oofGs@m})%so|r&-yD zVReZdU7~#N8J&ug=~!pVd#Ia08T>=G=Qi;KMAPer;MNz{k8Uq^wK@o?)}xFhQ5X3w zZ6tTz&B+)*i7NY1;h_wpw1M%i!;RD4qeWwy;iJ{|l6s$!aQ>~OSVz>&{jYXdrPpeE zj5WtS%!1;PmU#<=OD?$=mJUvzjz|CpHGjmUocrfbNu;4)T2bAfS?-* zo3-bB^0boZRuuW6NXzS7h~}D!2@Z@vt4DiNa2wGnGPYN-V$BI*n1W&`%-N!&kO$Ry;=uQ~ z<0A*a9mE#5-_UD5y$u2 z;j)8sV;CIl93&}vXg)v314xDcV$C`>z({6%FAN~^sgnLAI#cn82@2fTtF>KqAreX^ znx?jsfJ`#W{pQ> zASOz63@xzg#o?Hk84db}fBz-Qkt(q>ZdFSXM7!MXmRsnXJRa=ZKBd(~<3PDqp4Z0y zS)nDqZBDeQfX!1)Fb*0B0`wq(-s=hpE>e#0yWD=afF^EaHyxl`>GPf)C33 z#paGySs_cI;`#$HnaHnec60LFwh1Hf2Qv>tI*`D5`}YYqs>b(w?A=L6XuEA4DS9si zJsgDm5BXogfb?JZ1QnilsrCkwdx)OJThmaC0U^W^pD+EUl_I9zYOie(1!RNx`yXF! zw`rlWk>rHR;=HX#s{;;P+r{*&&@V)lP^+EbGRWS3L|Iwvw|8QD8_tM;@QK{UvR!x< z>%smB)`iwlW{2e`x-k2q*r z2xPzt4{b<{P8G^O2yn2Gl(yLTR5jT3*ZbJsdO=T6s!o&*GqMZCNpW6uVYg#?h>}uJ zD74wMsib!!U_Ry2R!wcOUdRpYPwp>wdK>yD(9fRNX?`l`q%`{5QAQ1T-w(sm*pXQo> zRpTGFR!z? z5!Bz-AirEE#!V!>=%T$H=cvDjw9@(#f4G&u`$WdIR=orX~38$YKxhSZ6r{>^o0EV&|YjOue9itv2dU3jiv|LXT# z{=|l6$E=hu5!;QWEOoZE2oJR}rX8BxbFJ)RU~Vgzcp*lqdemSYr-pCvgg;mL zCvBSthb`EV{NQhrQJkLI88bfdJfY0Z*q>pP_n$PL9k6a|-)(!GoMy(X2g+QIe)dyC zy89q-FlLVkDD=V)xQ*%g3vZ>`o+k+k`a*#UkoplGX&a7#?*oVqIUlNG2kep}v;US0eU17(B{j1PCHpg`?sI~5~mcWP2iJz$9wlTsZcryP8Sc;)0+X( zgbny8@rrwk07#10tci>DQT3e z@Q?mqic1aSm2fd#XuA(GM4rkw!*So$_MSoi{N(6)k0B7JYeikl!~%F-VjC2hQv<*o+i&fu`HfF1T}tM&*8XE289#fNzFe@4xXi;3yp@w7qdkoBd3xEN&; z^19s&GwW}|3xhfFNvRm*(Igqiz69xLP=73@uDfgHZO2Av)1m+V?fmv}{*!g)&B}iT zm0Um0*;NQ{fU{|;hLV%s;5Qj4zT~s}?Kp2ES|8RRJ!NOIcIl9>dUz`0mc=!smrvZI z#m*XMuHlPW880W`>SW9d{s^(v&UWi(#pFBM#0g6T>fCf$(OoXV;lB;R7@JU4-gcI1 z9EFSXBMGVMlZK=-zAB78PoiV4){4z@9$D`(EhM}OVrtS^Eex$OZP( zIU%z1?*!oR?`_9wi?T_ltqvErF&_K&LH2U_?P2R#CmSCO4}TSM>odzw(q5?juDeoq z-3_77*6@jI>YsdZh)xi5E{E~*4sF3@P+9wrmkVN((RA`9GpckY z1Ep@h6c6wL+T3FNsMvJ7@*#9A3gh0SN?F3qIY7}@ulA8bZ^|S5GPnUc(R{ILUeh8) z6fa{9fh)*r7*mhJ_!D|vy7td{R{WTF(yuhLEM~cX){PnbYs;);eg`uzi}w7JHo-MS zwvZPc*FJNV2g-C^B#*=@54nBXiVF}s#Nfd4NLijU$8-GEl08HGy=J<{v*k}H3}*$M z&`4f=?|JpL(>O8W`t7~$3(!Qn)({6vxF95)R9?>o4i=@1mmKJZ{&5&_p`6{YE)bG> z2j064I;Z;1B^PH)Fmxzm{d#llrA_3;frA&efIc<+NlKQ2ln#ezGBK<@Ae2fae&Gd- z7YN!nO1_zp2uukxNh>nq!+(Vnb4{T0)dr|+VZEj^iv92F{37gUXca}4OAD8r7XSpe zR*l$huqMV$OFzr{xwdfT<89^Q|7JiNC59e}F1@1dTl1{LA)dG&(0@?J3iXvdEiw!! zb1NI4j*nWJ*doY5(Rsj{iMUVI*VHI)KYM5S@OEQ2>AU-5Z{_60Y*-oj?x>B)c<~zv zOX&vNx=bNVb_KKUesVPcp8=wP5@0tQgoOD-7O7vV`}O9IanNpSo5HoRHf+cJn;fV0 z!esO6Owc-o0c$Sta)Oz+A0FFFh|Vsa5q+`ck%zki<9=v9xKo$sBJk&K-`)2j=UbxT zT9N4BKA8CEAEuu)DMhiS+@$ERn(`#2!@S{5$nYbV_Rm^@Jy8GF!qGh#ih2f@k7@b& zf;yf@R_2DPVFEp7XRY)4QF_1p(x^xM0B$%j0LlIMWp?NU40B*agjXjG2VQK z5S%rJM9c;~NkfeI-Ee>EC;UZk?C16S`-QACvJ=|%OTz0hiRk%5G(Hz+xFZV(AAZNJ zk=ej-CsImoaC7`8;6LLPBNm6HQC&Ir<;puMSDT)s--H@=C6)VeXG%l=ERCFZSxGT2VI8+Ut z2PHnNr+(|d)i!YvOSF~~=oW-k3isd@9+cGnU8Ny}FGu#Y%)p@#iIiHUr*_u0Ysh0( zJ>quo`u05Ni{HR^;skYmK?YOy@zaJjq2T$Qovd5`?%VP%yepo$0xB(>UT&+5&dw|z zHJYQ&I6sgyPU@|6xY`I?CAhU|CP^e-e!5DXAPkuQYFAq%?%?z|?v{^9&l)nmcoG7? zQ61x*L-QvWl@A;k>cb|@j1ZARP1`(7#%bYi+8YnkL&nd|v~jgV7Fswcx?_%|MynHg zw{nwMb#dm-u<2^$^>mT9R~%9$80<)*cw$ z%4N7!kUx5AClKc35ettg3%SCF7$%KNP5W>wB-LcAW3WC079yym3hWw%bCSj3L!`>j z6&k0XMd5HaA-|*|`mxh9`Mv6+Dp|KXkwYI?vof*if#}@j8t)d~C(WHWo}(px^MJ2gX}f zxq4KX67tZw_49ZbI=>hN^U$D2d^hn5s z|InQ!MEQ5cP1s4nJ>y?wK!S|^DFq{08T_y1m}zk(Mk`gS7z&4q579os;3eHtk{c-OL4nKc`2YGm8=so*}n zCo1Zb5Rel1LKJy!L++=T=lQF-aX#);*%>$@&h`}q0WRcHt+jZ-IO+N$m)mfiG@h!R ztPT_`tm@@5TDAP1wEri7tFxSoyMb_WqUxuXlfotD#yt%1TM-Y<*F&zFxV2fAz#yn7 zCLFm~1VcIZS18Yh zY8<&J(?4ETKFKKIu<`d7dp{SvU_kdDGFNKR(=u$WCeI|9E+2LPNIKA(a?0_xc%Vv7 z9IZ<2gwT+&;3c=G=gu>2Yu4hz>r~g|ip-Vg8)TmJhu+L~y*n!g54nxZMv_DLSmU_6 z>NgsdN@k0_)q`EXC3RXdi$K77;@^~$C7f$19&N<0-2S++hUgzyKSXjA+*~B1-GtMh z5O99A^x^ZI2H5h z#ebbxgS|v9${Ti&(H?)mj?S~~KxqycJa4>EP9=XHG8u74q+jChQZ>fV*jD=8hZzjj ziB-tCIJIFy{#q_dhambBzUgC6@Ao=`4riozF$9;`UK-mPqkaH|NfpSr{wO@m``$#+ z;AXRfm>X-gd|`P`y=fa!QIqR??N5H{=2}eFbnEr47xfmd)+taSuk-v6PC=S^tEfX) z`i~+Cq&ad$T$wjGE1s*Q+{>#R@w0Ol^B=PT50BjUF;|X>#S{tulugDx*Qjw>_$fA-S6j)-fw?yuCA!19$$5>MxnQN-@ zM#uEB_%kv>Kl2Gsy#51bpePjL>d?B?0P+p1_kapgnNg~Er5Fvyd~z?H{j z7f75Gt@qzyZ2erS*|m7w|NQszD~I<%_R-qC3S>y*=4bokIR4oiz5_$E9H?NdTT`8z z_q(huIX3lo=CFU7dOOFv9yV}NWh@Mx`MkG@JBj$x#xjY%fWu194wmYv@^bra{hiwPZvIrn3R_d2YK04EX%&hfL+Lg$t zs@?vS&#aEWoE#mbm>B5Q^Pob{Bc9q2M>Gg>^Ruz2FfTWh!Aq>S-9wYV+f=%;S>|3a z`Kh*jzfFV1vx*%?#W@?N?rIbvL3okdUR`D%U2S1}p-e}lMzFh!QychR55{o1bwFL; zBcImT--1_uINMHc50;}@ELqK+9Y>TAP952bc3a-N;I zuSORbkon&Ow`H{}m9W2y186V_w^~my&Tr|K6r60bk+=wpwigb&QZ%On7`I(F(Grx# zs0>`L`(&YWYlou6@hEHC64E@lM3T!~?NQ$m_VSa4x9TpPGX$3t)C{y&9`nmZGV=i% z3Op+bl!wZDs3d@<(I2-oO~l{9LgG5UHQ}M~N_$$f+W~z1ZcH92w%sGnR{__(43YMo zI_+056Fqm)D2>m!#KMPXXuh_YY1Afohe``ml>qrK51u-cSO9(pKU?LsN9!g5p$RIR zx=m20-JS9=e{}s2rRq=4sjP!&S}Tc#W1m<3*0~@xn_ief0BnK}$NVh*!TH;vu@{$yS5e$f%``T@O9?7rh*G`5DQp8ao- zT)s)1vt0pdZc^;ozbnIPtE;g6$H~Y{?hH80X~c@JLs)W2Y)ECfzGl^?GUS~h< z_Wx_|J>a5DlK)|H&N(TFf*=T@Bt@biA`%583xXgZilBf<&N=6tbIxJN%)rc$b4HLT zf`KR~zCG&hy6W!j-S77P_xZe6tiW`tZ&z1WS64j`dsez8VR|cvJsC64u3Wv`X3cq{ z$$vrKiK&ayqRxcq82Hl${H`X%51P?9Ss0#5d}7gUdm4B*Rq=90vt7R>Ek>Wu^`;_t zR)X%EqubtIa3Ws0WodDW;v|t|m!q$ux4_UW~v#mf?+m^dgy_ zPl4}cdQxY&PJQFaOO((HhtG7HEUtwNS05X`fAOiAcly0SVM>D6ZRmX0<>NCj$0S4M zs_){M>ZP#xoI2oIy@6)wNi9yCVG{xXPUFvG9=i!;DG_O*tAVGhXoF|&~!dl_#E6Iku9(d z3cOPY@gdRfcuA!`Y-OQ`sM$>Kt=V|A50)~(<{r;k@Ij#?!rD;=({Yp&><2)ZeH zIAiUY3+p2osjs083(Ja+GEC;UjSrT#uKVXNA6Ezpnj^c3X2KgmoN@Fn@4=%q99Fec ztslu16v@Kz15Ofg+Ba!LR*Rg>tiJxnUKg1G$+|_k@ubNJV(DKNdU;a4_zNleFoJ!@W@Vy1gNAS>UI^}M-*pRC7W}U}S zrZ)0x8_^|qM2otM7eM+tHOxRvI3*Cr;ZZ5HZyzI@J3r1=1Q|^v}?YK;OjHtyH}2M~|S2izexG<*6LYEc#Gt)z)SU zSHUaq_J>qV9M@kQh5d&*f`OKH5HbjsL`c=2KVr#td@1AHc0HWQej<&UoiBkDJ>0Wm!y5#o4 zaO@nJo3_aU6@KU|Y)rH*qaZIKNLXbE%-jlG?hXdEzlHEXOqyt8Q|13F^fA}KXCIj*@ZvDfY1KPBcCC4Y? zmpxy_JcLD$Fph}NXhSL7(_`u_uU=l1))gwcQO>N7bjj{BU-YS@64~3(lXFI3 zhbBVnEA8%>ohGuf7d&YE~OL*5BL zD4=|D%sQS}$lqL5Pxy_@)fy|}w8PT;D%($q-FdIg{FQqjWD|zGdUxEek81F^@(zYQ zLZ2+}#dS%(Q?|zkXmEtiRpAl5Vf&@edKT-?Zw8NFu3`Q&$asBkn`1UxBrcZ3h zw9~~%k7&IX(0{sk#iAaAM$vY6o!L2CFmBkimXX_p96^RYE5vYxKx9!0(@}sjYYFFr zaN>*0fF)BtIyJF@wySh9cse8iKXyf4rMwrH=<~Ydiy}zs)D@O{jtC& z_?(b!o898|k_fnI-dQUd*#$C;H@ZC}+X*QZ9dxCFk(EN}s$*)|Cfh*--w% z<@ru;vegjQzvsHG3p!hN!M%DPud_RtB z%xmVm9+i#3k{>;3S1l)>MZfLzyxY-xt$GRMnZm_gFm7iY>T9Qzo{#6@*t;ver08Q{ z{la2QmIm828?MPcJTS7WM8Y&>%pK`QQlgiE>{G7;FX6c<3F`gmTt0$ST z8-ktBXYG8B-!XWuKiHZoCw^Z!>r}Dh-dW139o1^4LZC6DeTGF&x;woz?kD!6l(98N&#>TnX8G)QBfrHEMVzA(Q80!3H5unvR4uP#qGIucFAd$KPzh2M*-;;{RbHXh&%^e( zyp(wB#O%cW_VZp@M91+eo^W(OEKVa5GeO!an{yuB%h_3)+cXr1w4aj2ERxQ0>K9%S zkZmC7t@AqL#B%+m#TipuGV(IMap)$)87%*tD=HmHTQAb#iM_|CP7xu`mU}xA;gGck zU5sm2f#8*}VJBIumn&S^OHLZAHH&|{VL0x6YasDN7(KfQ1_4#~t!e4|{=5=W@q!wQ zuuZd^$1H{AffRENTe8Z|o33R^=9|7H)!6vcD$ENRXdfenpij5CILqzx{p7FD7?D$4 z3lD#LU2hjFb%V*sOp*fvI_9AY@arh3=t=4Fm!$InQrKYVI`@5ZUa zvDVh!Eqc+bEcG9olYG2_%ih{b+pxP8y>*JCJynTEF$H2~pH9q=_7>~oA&%xd=KNTC z#?r5CLE2t!2g$g{c3*V3-3K$7iC&aEvhOG3S%0%=W9~KN3_W%*NJ+Jtvf;hp+AQv8 z2CdXScIL3j?AZD$nbC^~0~rCPo#LcxLzkT6!%P`Vxuai&OMRFe`Dk)DFo>sLM}6m! zL|LUE*HghOd)IGDkGB$xvTVo;S2Y;8@+wau_tarL5ANbg?r{vFw~OC*5A-y? zcu=S?qt{C#b=%h6$L*1U)bVw9vRIZhhWO(tT+KR1xwi;=d@diRN>1HEQY)J1o|(5@ z5;gVlw$nQEu{Ss1nNQ(+jny3gj5qh`KT+%TT8nb zoiE;|G-2|-&{Rg!Ade(PTSU?{56^=*UmdH=5U)TICYiH;{lAQG|I6t4^SLkd{Q3OC z!i&YF<<+&9uQoPczuns2-Ftud@e>+41|}9Z4lW)(J^>*i5fL#F@h?R59T5@|0K&(^ z#l^wK!o)!T^x8XkFF+k%JlT$Nu^NY(XfDd4_xw*0NYJF{Ob$My= z#lk!;At?nlEdwLdv13e3jEoHQ^mKHzw6rwTRFo8CB*cVZbTB+F9tzE8W`G+uCI;Ha z_dD-4Ux87UmselDdi{2LcYl9>Z};7sSF11P=VoSR7gjfS4l%It!3+rTvC-eZS(+Ig z>K_`NUEM{;C!;;a%ErOL!OnV|ftr*62mQnQ-R<4?AJMTW8Ccl4&hnh)VrQWv!$aF% zo1dAUd-3wk?uSpGJ|66V$*sNIc)NS>@zbXd@3&vSTv=LLdHH&K{{xU48rsp(Cp5s5 zn1Y7k7|V$h%*Vj!_!!$u##?Nsn_2OUlYh37?_IS%Kz72L?swwM_2dkkQc7 zQ4*r9_EskO+1@oUvGa||gY?aBVG{1V**?N10wSWNA|u2)csYq|sjaMOLX0nO9eg@E z*m?JE`y&=UF)0Z?`kQHFV|8@{bYNy>^WD4GFJDXz!P^?^8d^FBrgqiSV(}5@DfX5;I>m^2=gCUV!Ej8uUZKJQy@kz)?i14sJyjd6<9Gc!l$0sJj-kl%rAAgBPOn;J- zla*q(EygPvK`eC3SmW$0`I${ohp3#=q9kXY+-orh)b!+dcr^TwzUP~}dv8}Jds{2g zf*vUdofDQ-)6!6skx?>sk10VcqY=@b;NayKgse4FLc2>0WRqD;j zH7v^Gr`S)i(39b!qvO+Z2#QOJ@E#{Y+gz9$Lcj(OPN=#^CB+9ho10j>`FK237Ua3C z_0-4T!(58UKV{1>v8F!5V)gCp1r;>~MSZ96+>e+y&$FNA6A>2`5tUI?zAk$1G|Mq27LE&|SFVT)^Rh9JVec>YLkcnqd$BlfnAkph z`uM(qs?23!VWA6LCz)Bf1TKr52g?t%a(%EoA)#t?0Um2;5K&dAoN(re`Wy4~bH3&9 zZfNJ!0RcG$JHLdqnjJ0k^Ub-lH<+`G>vhqzWqX!P|UOv7)?l!ko6jg6& zDBV!IYwPgnj)s!-Ia(|XGBzQUo-xwUP?KRUw&ld7cH#*cIk`QvGQFdxenUn=LRwx` zQ%h4rRbJ|npb-BVI;9}@L~Q}ziiKp2#Tyae?Vy2^DJS)V{b^6TNv%Eqo$}$&)uj*J>TiZN! zcCvr+_|b#=mJc30wD$}Q4G9hji-?MjiVP183h?vw^>%l0cK7o3_I9_?y&b7Q3<}{pP9E+qb`}OYx|)*YdF1(AId2K@ z_xiFtUDHP1Ej1TH_lU{J=+BBuie8qwc1>DZUPs^1{E4Hp!;{AjZlJ5HJK*W+=IZJh z6cv}4oSYaRpAa7t9TOK973^has;77Nfz2b!`xZv3k^*O0>6y3$d8qfMr*Pu#eJIUaG(CFnFAQj;feLbdpeTT&9}r;j!yEh(-EUDA>q$IU}2zR z6VseHD|G3ih_up8B{_LDvwQcSdU$(zxVw9JdwY2Teen;C2=(>yk4#8O&&kb9Nlc87 z3i0s_Ov*|0dGyfE#Va7d+s)0=sF+T2oxda{r*u>O z=1py54^K~@z>wgez`)?J&_F-`fY5}zlKkYjq}<}7!jfu8LvfVz6IWX`RiB*vgxIw7 z`1s7cw3z7l7$1X6931Dxr7kd$5R($2&RiTETzqiql8}*8(lIh~UX&2w7Zl{>Q*;Um z4+#$Rad~W}ucf1>CL_ehFLqt&Di1XwB@4$HE?xoAtBUH{y0`C|nOi;$j)@5m4hjj6 z2#-!mO^l06NGq;yZmO%SgtRtQl~py=XFU@ZHh0yRvx$g~DIe%5%gisy%See2bJrC< z#mI1igN=!SiHVMe8s!mC(b7>gzL}jikYiQ{h+`Dh}RbyK(dmC%3YU)Z7L%q#pE^x7Po);7p6yO&S z7CO&+?%Y`}ZeCs<-gA6HlF~9aR1|L71jmJYx`n1^rKTiB1qTO%UE$?o>*yEa{m{fj zm5=TGHC;0c3oBcDN1(VK9v)snS$SE>=|$DmrG=%Cw$>I%aZYW|==j9M%;M6*{PN0B zMMg#U*g$)IOYg*sHwXJ~)@G57t!>3g={b>4bksF;^!0Rfw6%5hbhU4(-Bedoy{W3K zrlq5+fBTN9p{k}+czlenm2Fr?PHt{me0)-BdP+=aaCm%5l-mPKLnT#Hpu65ae*WMK zsEU6;SYlCqOKayqe|vo+a?clpSRwar({%P%KuQ$oEX>!)6Az24k^|90o& zo9UUAnYOa(+PsXiisaycz@U(zfX@WR^YwIdcXxAjaRTJ*>f-EVZDu=!o#Ju*kTyjxJbRd-v${+}zA? zRfu<(x51;d?$w>cPe+H#1qN0XtC-mDUOewCN4(zMTpSsgoA0j5FRHGoYiTGhEG;U? z&&kQl&CbfqNKZ~oh>MAeL{UUUWO%Tjm#fwNz~YA5#-^N*u&na((z3FWqU^Msa-b9i zm36f>mBmFxg@pwRY;F)S`RX~Wp|+s|+5l;9YioftKBPc5MleQ2+mM_V5su1PJ-kf2N$;&Y8|1xDg_7IUFTUAao(7kZHB3?(g0+P$ zEJ{*LLTaLEk5~LS=506|vsSGwrJV!qu%VHWp~127k%7Mc-tM06ZY2D(oLbwO8yms; zK^khSD~j{7Q{!X91AIK5*@k!Tu5=>jmlweGVyLfYbaHHTcxVvxMIhj?4j`bqn#u~G zQMrkEgF9FRR3zA+-oJUdv46C?dxVLxwQ-0^Mn?o5&N@0o$H78JTWJc>QgTmm=d(yJ ztb(@JwU11Ujf_r=4i66v4-O7=14zg&Fjau4wH3&zp`oFsqO>3|p%hx-fKJB6r z5D}nn?qGl;h>8;T)y&G?yQR6g+0o&i#>RYK-{}0t#-=v-*!1N1#MH#Z7(g@#o}L&RotOXu2HlWA zI_=F3D3z`(D=90;L+lZdQ&Q6syv?KI4YnUVyj7)^51{-p@F_$u+BhzS{m!?>#C}%$|{TN-w~6NQ`3%J~}O>V-vaY*pr^$v_r zj!z;=>N?<4U<`O|RbBJw>cY&}!0`0k^vulU6u<*$Y;0s`0MOvzV1G|{S0}8kwXp$g z|GJvmnySjm@~Vc0)~>#>5oAtuZChji1X#84UIf?*J;+WdQ0Jy*NF8WhTVLC@^8N!l zI@ZR^=g5|p=C=COjM`dQW5L)|&+GSZCXvH~sO2cH9)CVFIX*tz0cmM~FV0U-5B38v zvp|Ia79gWBASIMygM}LaQUa5PcC@#(wzajlw?o^3N_B!+4vvk^Pr>1pxurG3b3+VD^ANOD`_fvR=m7+u)P4#^Z}ML zHF?9!lapgZQ+=&nkml*RiK(%%x#x4UCF)!Ew+qn)OaKDW z1yrgBxC%gc;DR_hHZ|PeT+%l;2J8^fIIsn}k+7~#fV-_7+R=dk2E48nil{8kO#^32 zRY`sku&@dG0TATM%W-7a;1Dp_Q;4=vFu>@*NPquSKVl5nj)|e3@#oXi(;#dz33l1! zIN1GwMn*@5hk=B^N&sB~D&7O^0I-+FK}v=?O+Rn--j6y>JG0@>u|R5Vq`8ro(-x_djjdk020K*2hou=Wm=HUT@(2JM0&;K-qJ&lpH$YH~qUJ@m8R2LQpr7Xl7PwA4Z%?d=_{ zh3WaFRpq7Gu}Nv!^)P5F6yAmGL*W5yGC4L3>}huwv=a{NYtF160ctZnH9I#25CK@z zGpIH|xraa7#%^$aAixO%2dmHlHb1b~%|Ki0>KlO4HZ`_3!CF(IOPXs6@++$IDiC1T zBLNg3!_LljRLl0Zn(CU?x`L9*nyRw2s06?8CTMd@3l!k#9~=g%Is_JBsDGdz*$LFM zt1Q0*3hf&N$-d|F&u1opB>?L+1ymb#CZUWF0EFy9fI}9DrM(@D)YQ@pfz(x10EeWk zsJN`OIxV6U?C$!8%G$~*7_zSy9Ace7gP_3qsIIQ6sxGT2t*9(2Z>X&-i;GBg_pWPc z>S%+);K*LEV#DAl29{+2d?DL9`+J((I;$YPeLb+2#@4>c`RUPV0A~Wg8Aok;uwG!o zD4jtuXb0{|8xRnrp$^QothAsYADprU35iX$4Xw3pO-*gB9c|q`ok*~%V3UD%U_Sw` z4RzY*SHe0Po69p2y`sSJ18Hn+g~7Y~`+?={0aFG_(L2}=YlU`$U!jP>{(;`MlAOHq z-tob)36v^LecooM;}x6(K#vh99qxny1Ju$64*fb{uglAdi}Q1H;#1?}8tdy|kmgo! zp+!KE@TSIQV6ec-Hi4EkRplkcWtAoQC6E^2xnu-*WungL#+H^27_cBHWk4Xnwgnrw zzYo?5gTYV=f&|+F)=`~VfgBkb2D@-#6s*_i@aG+mf`r=Y021mr1FO{t{GzI=lEQ+# zoXp&Wgz!fh(Aq|5XGa&ZtEa2IAvdkKwY8-c*lFNs)|8jzWde`8I6XcsB{3$zD>x6* z&`@6wLSFzs3`i186V}y*+673U79AZhXjfPFKsN$hhuR^~{-L2^fC#uB01w#mV9yVr z03lI(3rxBhbv#wqRF(k$CL7!(Q{rNyRP7q!ZLM&y+q;o1<}z9Y8K{I27mv6f6UuRN@zq0q_zs2zrfcAK4N+*h+YIIrMTLAd$>Az`3ENzv_f;!D(b4LYisN4z{v;! z$4hf7>Og7*5Sv;%k*y8Y1*I*>_9_U_+0HH`0*J30*$I}Y8-a2dKl_WQoeq47YT#6t z0zJ-11KvqtGl@}Hz77Ss=T_Sv=CfVaxyd0k`m*=)!IKO%)`Ua z$IrvgE4jF`t=K2Jq73DimjkM(tf&G`aUHNAwcyCEZ)&W`h>D7e%dIU-FRHJD09|Ws zZUF|b3COYq{LS}6gs_W|N8h~>T{9>?H zxfz+MsmalCp+TYE{ysjQ9{JXugDH@P{Iv97kHGY@!hCR3OajhZY-DtJu)mj=o0G5o zZCl%CzP@qA`Nd_y?rB*GDL}6h6A}^<6O&R>($dp2v$At@@{5z)%nbC6RV5XST)iAz z!?W^Gx53=J{DS;^;C`Vf4}8iiEGjN3E(TM{&j**q)a3Yh5JL(L@%IaS78q!d@JM?) zyErR3HZCwAKCd7iEiEZNA|wc0?tQ$yz;)c&@tLc;hbIVA1qOzO z*-8lVpEHhya?;&=HTh^#Le}d%dI4+nU$fV z=^f{Qn26x8z@X5806#Bp4`)Zahn5D0w{IKXv${$7ibUEkIWjaN00eklp4r)2-n)0l zP+vn`L8+GXmZcm*_5B<+|^q;ibBlPC(qE*t9$!+c(}Vd+S@&TU~$jb=#GJb zp^>raJu{2@4<4cDv5obk`wy)x9zHa&d}wTLX8cf3(}CY@Q9)W>O;p>-Ex_N?+tbtA z-NVbx#p#LF{d-2LDr)Ll2ByZEy0$)ne%`*G4h~NrKejXhF=Q=O#p_qEUA-bLB_%B- zeO*ai-^5TuP0PU8Ku1-GnI3nU?v68%o8?_&13everR&$_KwFt>HrtWyrrY7 zrLCo~tXL--a__n5oiu^TcDG5;#VL^fOe0=B53kr)}y`iS1sjMJ( zMMmMOz-cPd3%YjnJZVN#U!OfMK52v zbWz|Oh;Z@?T@V);lo(>6reR|jysoBoOI=%2O;h`py1JUO;teSg5msjA6YRV~;xaOl zl2_%f$w-M`z9b?dA}%2!EO74Z8Maewr%s+=VPR%wImN-vbB^!)1%3emfbEKekdU;( z4Fv^xCAF)k2uMzFu%2LLKF)lcg^it^gZ&iyX$~$fPVTeZJUnMkv$GxpiAM%H+T$$D zJgoVL{@^M~K}gF77zy(W3JdTH3ke7dqLL%52m9}jKo*URhJl`njEIngf{c`ck`(0c z7#L{D$tWo(C`gG(NQl8rjf#ejiTU_(kOX8sar_i7_eu5(BBB?CE?;DN{|=Xol#qag zf`XiaoRo~5oRX3XWD#iT=xAtY>FMdINeS`L5703V(eW^_=y4VONr!Q;b~bPTOFCK- zGFnPfN^&A{N+N9Z!+mITZFOyH-*6uS+=ZYWAV^VHUQh(-8JU;_Zs15C@atzmqIGqB z{p~i$6yo5Mkdji-GcdEAWIoBk#c}e~8OEjRS$w>`cLyI1K>GK?!4VqTr=t(xI|ddG zNCV^I;9`I{z!30Kx{%Q7f%n;R;+d^eEscoTy^lKwhih~5;ARiJsL7#jXiK||lbe^j zvxg4|D|)$mI9ojg2@xB6R}UY5Pg^^8Pw%jV)Ev~2k(XcH*4aHYGPU|{=Mb>MBc`OK zrlcezAtn6qdhhLUdoKuFfGhv_)ZF~S;?g3BQM?9;<+ayaZ(q*9t8#(mON>iR$!N*{ z)YaD)l^u~?QCQtx2|~3#_g4-A*Bw*Kky}Z3#?Ol9=!ef(? z;$jmsatl$ua79gJc7)rV8{&M&>DW$S;9ZkrVm_^PiU*f~iI(_NXOJ%L%`{b<3p8a_ zz8Q$jz_p~vsMyTvrqT#&RY`G4St+KR)>iL2?=@%lkJ;C8uA8}q#Rr;jwb?Ovugm#F z#^(3z5HXxQ&B1Y+lmFUnYgaE{5OE6fchQ%*bXiP9PzZdxBzEQc%{$g^zQN&<(J@iM zp4NI-IFHfeK%U-z#JzR(QB2;@(w!H1!ZF!muCi-m?oE4)Fp4|Xk0nZ$<4!YoD6LNS(EIce*w(~c}}tSQQ`>>QgMXsyT$F*&o-5a+DGdE%n6cWi#!^v0VvuNRxWxL9=k zy>D_~($bL;SH4c-K1atwdv>_8pD6A^KqopG5iSWmH5ww}9z(5uwJL9P=SxgtGD-#x zL1|6Lq^=!ehSQgBJ@pUv(Bq{bVdUZ$0;bmokhjMZol8uF1XL_+tPE5X)J&Y0HLN{B zs=?DQEIuVQA=Fiyj{<#v=hb*~Zn&ei!flV}wCobtIz9vYSuQ5@wg6Q@0a0n0%ee4^3m%uy<8ih>ln#6LzV^I(O6Pu9O}Mo z4s_P!0Cy}BrGh>=1*O#uO~A!(Z0+pn>4X$#B!LKiLULA7CAg=Q=4Yp;B*sPr0aps7 zEgdb5bTriUANxea#ze)WS0QFr7RTBP~1;{Ck?WAh-rGfT@0Qy{j2oI+>2<(pC0 zH846cv#_%MdTaj(0}Fls<@Ct#=-9{rva1W;4K7MGH4V+c2L}M_AZ@7N2y)^bA@ez5 zem3HDST$s1kBI&x$Jz5jm&L_IKu(GK4Cfghei3moK~8$`gvI-v&7~<+w6v?SI3+UB z$KBraruey2$LQ(knOIJNBkY{W4I@YY@R+#7w8F;0m3?$z;X#;?2p4UC?-LFoF(LNH zovod{-Pel~{Rk)shGG#?FtD(lJ`E1RvllLkOG!qm`u_3Of{q!>pyl&3C;$;jPM zxutJ>&)m%PuF;)4cZ`gU@7&h9sd!!Xis%J)THKu%AP@_!D@X|Oc6W34aC>T@Eq9s! zyuc;NYbyGWydpBnn>u@kr(UdY?H?R|M8m=(B*aDE-F))_myDX44EO!gC=!Hfb*xRZ)^s@07v?nlM4zE z@Ec8UYpNPFUGNwO3W}Y>Ge>8D6XX+t zE9~y(WN%|>YM`wuCn3PWNP@9BJJ{1RFgClmva&ckf^4Ylm4uTUgw;w0!W; z%KEXby#tCb5YYGJ`k7FrAp7TF`^dsrS5010i2DQ$5ysYw5o9|Ep@1L+Sed%&@ffq$YfQyZRj(Q#q8y7tNg^!1Wjfshk_xYKjOVWxO zdUs6B%*@R{BeHt*1<~gf`>ZG^O#xSiXAV#8?d|OB?CtHJ0Wk`Dyyif zscYQQ)Y8`0L6NpL@b5J>Z+#(6P_Cn^ciZ5O(OuJf=3qlvS=&5*_FqO4|79fp59$8^ z_#ck_V}pN{+m9pttmL=RzpecV&#%=#)ckDFKPW@>1yw%`@wxO1{jTntVSXw9VdO7; ze?E)f8h@?-q4$pkKN;yu5vr+}Xk(*@nAqoDVvr^fy8j%Z1OZ)C*{@7~9pjt1e#7aT zIsVB1w~}v~eKX+KdQ{2pJ3~HW`AW^rUs?YK>(?GX8~59?Kg9G)qhA_){`}>`@2kFi z5*PmlQM2ez*ZrqhB)_HaTl{`P-`4&P*7x1MLITOb&jjH7*5c3D{SM1dKKz8wmsY>4 zKo$L@B`6a6isujD{L=9!od3M&7jA#v>PJwbDB(2yhUOpi|0k-yAo@ogzLSzTfFmyP zk2?J;^?yx3KP;M9^WOpI8#aGF7qH(z+wYX=&%699wck$rcl}Ykzbp8R2SuMdeOLYO z`uK-{{+z+zhUd@O{;&3b68JBYfRxmK5t#q?P`-%cSD8ovi!Sze81+A#snmB1^2=uw zB=E1P@vF7_!vX%i6@dNk736CH>c{7*FNXa;WJ|yD{AG%tq5X>FyUKsB9DX|5?>T<` z^edj9cKJICzi|GI0}u}o(D$W(CxYLN{Z$aCA3v1;$3T3;=odWS^Zp*+_w|3@=l^${ z|Gqi>Z{+_;;C~YMp9KCVf&WS1?~%ZN$k+Vq;Q#9Y{YNh>e?d-Se^=z^FYx|Zljffl z{=X}e5dTZO|6@Y@OZxmDLxZ|v{w4YRvyJ}cQU4}9|1ADr+W&ol)qf2UDhmCFJ^vkH z;6EAuH@*PER}>OWs185v^ljw$ul)YgX?>ReH@&}n__pcqhi(Q*i+?Zu9@alOHc09K z0sSF;o05;j|E13$%Ov)- z<7Xb=RjkI#fa@1RWqE%`;JqHyt6Jdgo-Zlj&y`J$zrp;MK!8r4nS)HSC>RfwP!?w*g0im#pKHIS6Mt>o)Fk>R()+zce+T8Cs&w>#X6a6LO{u{5)y#HnTVJam77ioUe?H>&C zYs=50A`um1|f!{x9 z@<)t+EdTjHzqI>#?LS@mBio;sd>;5~)wfK(6#dg||FFZ)x&Ki54VqsT>f53}9R8oJ z_<`|H3;x+r|Ih7zisG+rhyOG0|6dL8{{cZ2Y@&Ex?3-0n91IhsVQ_zO26vYb+}#NT zcXto&?jGFTJ%jt;F2QARcY-_Y_Y3xVFZTR_uIh`^=Q&lqwDkX$G&r%9(Yh8zV!QAJ z6$Jwv_LaOfnfp%UTWTTDy60YC2gtEQCMn`~leJ|f;fbuijepWLTRPM)F z9Ol!BYHrLwg-h^;FM8cHtvdHwP=XC&0S%;hA{V&Ck$(-#H7zhr%_Z(uuvA0@2oeF1 zGj_)ScWYPzgc1Rq3D|VBsjzqE_s}7_27oxcE!_z-3Y~7!QDAUs*&E7E7vVC zIWsrA=dd1jh$F9#a`XiglhS@?Qr71|GFfJqwD+XU5}eEc_ZevG$aHCl;}#+Brp~N| zq8FUJM3m%!8wPCS4_au==u3#Cp;B4vwagubj2aFhJ1cTn9M4CSk7cLzFU#Lf(ksdl?1N zD9c>&V^q9b4tgu$$!L9!g}rB6&Iko2)U{rixai*6wEA_Jn;NDAmvm6fK(5|3v?!(Z zMt7gSIB>gMag8t4H4xCyn$N+pc!gTf&IvHey4}+p9kVcSJb_bSway0YqOb@n(+rIJ z>#rh;XywJ#DQI^oQfq3CQ+YlqQ59m=#!iC$UkzG)F)5DbM_QS% zEi^nWdJhG}irf|KcOTTQ`N8Ul^AXDA__e8sV?jn<3u{;oD3#v+($ylx^$cmg)4^{X$M7D5I#gZ#IPduplW-3WFr?R*7fYyhWZFgn; zA>xt+fsSi^_{GRfhosFlI;z8n{GR=;L5!`i?*#;>x!_M$04I5*)fgd&oz))Xrzm<1&s(`rs@4(yqBFDtyKGK^d&dHZS*I!@6CW;fAQ zBHIOZQ+zL#&H)_l7VbaXuIDJ@Mlx0>@r)#{RUCRrXfRhOQ&zgWH=jqW-jqbH?g5#& z6pKuaJr>qbuw1Po3P3kmIcE^&|oz*{}@cG4-rd}nK?~1+hOLWhahWq?1 z?Uj3e<_I;_a>nLX?wZ#N8`0G#S7=KNNmX@`U-~fQ9%OSQA*ZGGgEeV0m!~a4?u&$m z_du9hUP0egs+ID3N;sr8`Ukh}u(5@9za@q%Cc9B0w0%VdZVpcK4+q$oNe3cos*~w@} z>X!^|mNM0nSj~Hxj<%c-M?L@9vl~|{;wfBuEyXqi>Uk)OWfC`DYI$PU?(g6TBZ$QWq3yDh-JY zheiO?k{X8})0~DO^8|2(9Ab7Tk%-G9#=Q+W^>&ek(wo=%Ff8KJfPmH9dHC}JeF2VM zD+@FNt7_I`!MlorVH-ryVXXMgnHuh;U{8atE(X31#9j~ zkV~qVE7MHU>eA==3;F^iyOkxifhRIqC10^cdvAf?)KFd2Rl^}8YsVpVgC2HBcG})R z`M#nAl6Bd|w0x|JMW^Qqla9R;b0dIgB-3Wl@lL7pRXWGQOwe>6h12!2Pskgs+S3bhrEO%ZQXNX(b1sb%?uV3=5aTSY#jCKr;5CCf zBa&>N#m)UMV3~2ZI+;C{+>+>*Vg`B%RoQc%pc_a#_gYtSR}-(SzZaTS5+zdy=mH4a zCqwGIh^{##Y`}8XRF@1SlWLa8>DT>sJif~~b3P^VP{Ve%{SB23N z<<@ewLni8!D%P0gt((C%2k$ezmu=e&lB;GWCx|5Y;K-eXPZvZ_{>gsd`)A~}erkT8 zCK~Z#YO>^vGJcX41OsjY+cB(FxjAbKL>+F%`JKja?PAQcHD2NAygh_@$ub8X&F7Q5 z$Z3iz>UCqAxA8HPE#y3PLz+!6;uNiB?%5YxL%^vJy{$x(&VQ9}-fMgj3&nzc`fl}y zNM?$cUNxDqeM{LaYodLGxERS%S+>9i4EHhSwM7Tyu7WZXY&_Xu&c-D;UhiiG1?la` zXr>F;;=t#MSt8R;s2X&wtOS%uaW8hjxO=WC?4FHY|8P>Rj%1rM1S@ag$uVtN^@T$I8f zyJ;!pG>g$(s8zaFd6z2A>_5E-KGBpm30DLLD~DkJ7cd@sa&)eoukR;Eyd7L(&FT}s z!%;1!IawZl+@dm3Vi`_9?GkI#Ut&cAT9O=OhqJH8ds>Gt`DRD44$t|amR~tHJc_x!OU`3;SI38c}H(@VSr(O)VBT z2$RI?;j`KUS&|Wgn-h)WZXbf2OFEl;qCRVyz=?1QIG>fYGL`nIe^o4|J508>A+q=* zdb`fk$l0Cii-QW|f&v=<(-TA4J$BWv1~H6s7Q9H@cDFqh?SQbsOvMqKyVLU)(i$tVaL_3yR%jOD%53S7(7F`j}69L2o z@ni_V8u7x~uELD|NJCx)#6Qi)CZ{f$^{U32!IF3GQh*$?1cO7DhYIXplui6{E7n^a z%De0GOcS$6&Tn=|_9nzOZUd_|cue`MjA+S*J9EVKps;Vp+964YciU(7P6-3J@{wDO zx@VK%0?jV~9JT=xDQ#Qi&L_@3xD%zybd<4~RdpF#-wco-n{4H0a6)mZOl`GHqaRr_ zs1xqb7Z8K{uy;qKKX&jvPPAfBo@yt7hmn?63f@;ASx1OMh^fPb(Vt(k+*Kpa$q6Z% zT89)0m>Jb43skQdbCE5=ok!Rw>IfW<)3af?ItWvA@@l~y5|gG+7)rpsgVymw^1?dA zcR(eC!Pm8C>E*=Vv1Y1WR(tNj+O&9zg;Pt_i=Zs8$dK0N2*0mPEJ$Ub?Zlc92eSy0 z0;*_3nr&RRG;_OI(8>LY6+ZzInURfieA*ezgPnk2o2k~#<@neDMPo+C3v~Cu+tB(o z@PomQiyeB;=TS#omnd>_kxlb_iX!)S6ICTL9^U%Xqe9un4U=<8(&0|^E>kP)?W02< zoYXd1u6YSwavgjJM#a2vCnIEI{~Q+(r;QG)U$I{3iw2-+nh1Mymm1VM&E1b)M!h=s z#V8LRBd=JUu7DG@POBZ^qPN#VjS--%oAFyw>*Bt%Xejd;*M0p#g=YCGj-$me7egZD%!Ct)@|}9nRl)|tLu~Mx^KLbd7on=7#|p6z zv{KKy0bXx+-2SQsa#JUIMCEXRi>y_x;I+i^p>dqAxR-V&f&xbnnZWyhQFB#cu#pvF|pB|Dj*i8hse!ncjxt>aC#LM+g6 zibnjDaio^ukMU!>#=Hq@7y&M}WspaN`u>-}-xY$>E#|b@j zm+OmnA9v(H<#vY~ZCVP3x3ggzzPtdX)f(WUa#>OLR^X1#$C|e-?1_9lEz;^F z(Qef`9&Z4ke7>?tNQf%{RkQWfP~)SfJpal(cMH1BaE|{WzMCC^_zYigvXftOgw@zY zd2uCK1R)7!u9MM2@i=EoTG()6Dh^@nOruqcIzk^_39CLd6W@Hp5;ETbGbjp)({*a{Y%Y65fdkLfSl*Jd?MUMK6_X0A?Wtnf zyRT=f-N%MFD1``tyi6$H4H^jVEZAL96Q&UkOI zlS4)AqIGj{ax5m6BOYgRbkvk7FF=LlGAZZRl=12kmTs(xcwf|?ds_NKh>kiXik{f) z8f4IKVVwp0aD9sQG~R}v8an%}j)!8zjo_4=K$_=(ep~54Who9l&?rwBV{)bGFMnQ58Y9s}xB0Du3zq(_w z?CWfGy1e5S((>R7wOaQBvLE&0mpm1SH&FV0UP!J7%le#kc5uOgQ5#Zt!F>&&#U!y! zlCBK8`M8|J)8CEgo;n?|OXe0%oE4E9CN4_zP-lChiur*iLf)`OM#b=|7b&xx4a!NE zEe_#wzj(7;77-590tkon+RT-8hNN$ca}g+LNdVhS~-=I4@IWw+Dd^5bU%p1z3wIF*F#m~ZB1YQ)2d~IKA?ooC^ zuA{+RT@wty_U)JN!7fu!U6gVXf(>aLj7A%ynUypw%B468hHjHWN2Wm{#~rlymsN1N=pZ?Jb5K zhf9)I=oGa>?Bg(M-w{#wZPKDKN&}Kvi?yVhucG2s+Vm=%ul4K7Shw@UyGKU;U&r74FfVZpu$Pq;!w4!mdh@VMi!M|IeS6dZo zata_litWd2XP!&S)fm#PzM^_r3K&=F52Ce6+208Kn44U7X$9t3l&#fbFhw$A

(>3yU9 z+)P)1Z=>t_8mu8z)M71Ne@kMNo6KrspS=eC6H2b;>`t?SD=MD`^_uFmkVxBf(4InH z*z?JmAGDJGCz%z$kj266Yj$r zBGHft`s&ehJyF7MgA!OjU-o)VUk>hZFDJ5USXe-&3Z=rUjeN*4FmMNeuAl85@76); zg(2gTtVI}6lBdO`Ct?b$ODck7cld2)S2Z&q5eGsY&owcoZcy$|T$4HOzQYxEU5i-{ zxuZd78OxU{9k_(etEHxoOm7rCSNmHGy16AlJ#in<0u$1hmy10|2(FLv{KM?Dkh4G3HN? z4~e$qa|*JFoUVYRvVhI7@dLwJ>tgRhwNbtAF|EAP>>W2LMxmN=T=Fno$l=f+hUZD| zgI1|V9(%T=rO2L#zFo>lieq2jlS<8VCHa2dYvT4RKeAm;spzabTtMvbU=>3r>#T(7 zJZ9YCvk90|4A{xG_Vdxr9&xe`3D<2RB77@J_%{+mQWt%X$^Our|2*Mecn2w< zX*-a|FY-yfF(KM>k?D{WM}hZ`Q8OoOU{WG{`Y1-6;eWul$T+b`5fmQWxP6Z!;NtaY zHq)A}MNFDHpH&-qMTOitqAenPvVu?)t!F;JSDaat5PUKRU4T}x&0=Tn2|%-5-KEVIMB+7jO$DZ8al%tu{MF4tDO_n{zoz8G9qP7Y`DSM!kax5M?Gb(pAoq^1U0 z>^AU|ufh_70N3oO{F1(7{MU>sr!n#EG1u8_hs$5+(${hOxAEX|2;AV4q9!^lMu?5| z%*G4E113iL#n|1Dc}bu7S)qdb0PnS6`&BR<2}e_Zu}m2@LAg8Am}0HC|Ke$m4SLz) z{)N?cn4f^nMDNMwz$CQ=7halLg7mcWax=GBp$Ko=@IAf3SMzo*fwayhhwuCY76wXV z?oR97t2-3uFQP|uVZ7&A7Qlhh8S=Q)O`YX4!(H6@*16hj%>Vtl8^35erTm^sn!jDJ zcQ}Xdp6)mm=!BRq>WG5of&Ykr_j#G z>vyx9V`5`7`G%yFm1Rp&iZ+l+84EVOl#;0X0C6dw=bpNNe7qcTTj|c(?sy`ule=f= zrP`}k?-(@1R+8kH#pF{5LVms;V(#=?Nv!*4`HnQ3jN8O*P#B}j6En-L^dA@kivk>ZQWFz1ECOZ}nfynK zvnod2tntkogdydz0Oc=-EFI-Wx3dsj-wJ2-hDytkB%7Kqz~4>ax83t4G*tvM*sQ#H_G9_Lx{DcjHC$2Mlyoda7J>*vPu zS8MS)HT~!N@Q{dl2K#8o;B!A0hU>tzg#? z6_3w8C32uPZj2i4L!3MmeJ1lA0lY$a zWhJJ#nBH;)SPU={<;K8Z4xHew`m~T{<}^bOwTIHPxHTCNyYj6ls(V9LE%GZjM|2Qj0Qt60*cD zv`dS%FgNugvFD!mHmb0^U@U?bu7sPsfUY~a$K_l$I*1be4zJX?uaf- zUr`bMY}8DGafi#pC7b%NKfmC4;$H>NeJ3Sk=YC5G`!U^RLe)&`xEi6vhCcr<8uCW^ zu1JC`(zdr@=)tWB!UQ60cz!IH$HO@<=hv7iwtNVf{6RJiIG~8$7b9PW8Q_EjJ0YmZ zciak*X9Y9+KXDgZf9lCA7^j_V?=YOvOUVu%ehW~#Fr@rQ#slT!Jki;oRpfo2*B8^` z_QEm?L_D5hB6E??SYNgl8|6i)qD)Va;iT4J((tK$v?->pG2M|Nzm^L`T4IjCX&W{# z`TYZXSg)uy6OCV;&>D1UK|n+mNv?$rIqMy5Wuq3oK)a+_WIBa}mMP(Gj&6qAD1RVQ zisthq;=4eVaNFo5sbv)bPptnDM?}OZJ%Z95(XMFws#MOk_eN`vYD6Ex#JlhRQ7ffr!*bE?tQAqj+CGcAtZSH18Q+X(_Q%q_F)eOI#u?+jU;qX4; zZnjJ*y$h{&ShB+S7#E?4I`_gOb=PNqhGFigE>Nf|*Y^lwY0{QF+0@_)5Zlkk!?sYz zV-f#5VB&vaT;_!^lah+CKbGZsMx$Q8-a6oD8}<~eDsy}6w^uLV2VPtas)YUo_T{1C zWTh8&g!e-;S6Ha`DmF0$6!O!#FKq4Xir4+H4_l}+IDCfY5+x|7o3gW&XHBdoUq7uU1pE6l(=*H>YlWemHqhmNen8^bd%*(n{+^7 zp_bpnQ}q0iieK%W=&tKW25vZh=Tw>_>Ayan@*lq|*2qkLGPQv_N>SqL-=QZHSaOXO z+HrbtXV^G=dHOh8dFa?gw{XsW#m&XfRqpQ*Q{W$)Lo`RUA;7Si_oXA3vfC^L zb$;=3H4L$Zj$=ENH!(XfcA1jnRLUkBsj^>YFSF5%{ia_(!uhx#dGwPE7od`F#`U7X zpTO$1LUEq_1~ssn0$JGNmLRVkK5b@<-#H;ZaUdl!YM{j%Ea!C}^fy6GQ3QnM3SOg4 z@_rbEJK2Sf^%ww9@^4Dj_hj5EA4u#mlGZ5DD)hvm^$QMs_PE%D=i0Ly%}V{3Gr1+cRV6nSuODx zxAbMUEmLQJCElr_EA-u6OSHUuw;`E(L)k5rXVgB_KEQfSm5ed0XR2zFMY#fhA|a3Z zH>vMpUpHM=I`&jb>b8@#*$3n5VP?_2NmN_&jkr5KokAJd>x62>YMs$@Y!Yta$C5({ z1vm`n^}&LKmIOp2B-kH)wXgsAiP)6^ty)-=%EOs4SbJ2ZX=$j!NB7z0iUb0`sAfar z+mWVq=-jqEzsvRZGctw#;b&pN&EkQ+6ITm*g*|djKB$m>k|y^iAh}cSj55VdO&!!m z8qfCeIGqKpSTPaTZr%;sMtwc8E(HYzO#(&n1wJCgV=q)!Hrx|>b5|t)^r)s??;#@S zutFg1dP6gN0ZsSiiRGl&|21sO8h)J6Er%)j{#GKSOtbnpi&g@SXOrbdWNLL6qQ35# zv2(RbgAplF^(y%BWqGGoM6#B$+tAD2psUkr%uMcG=@JSyGXkBov8HV$Ee6K>0l{=f zYEsHH2$$D>9SNIJb2tOM`|*s`4+Se`+ILjQzH3rCIIbk+gs*%gqg}R5)9kDFnYl3cl1*q(i_-vcQ{r34Y_*Vh`b|J`~4g{i-@*;x~=a#Za(-);6z-l z#y}tVR?f`ylv0mg#R~bafo9_Ar6@6C!5(oB;5+;Gyf%P~Kg7-S5FAIY2vz~d$bfiQ zOi>tT7$Smd^*w zj+I&RdHa7LPgtGpTr$d*a?WCa@0XAg=SPHYpeThA60nUhTvTpyls=Bk7GY7o`Wc6+ zp_}G-7CbaAw`<@IE*%&V6Yq?>quJ^%)GH4hxoD9m)K5!_fOX%^|9R)Dy@b5s^a-d?#G~fBfkx z#vAK)e)Rma_c3noGZ4~rhAb|1POzg)5WF$Hq^`so1{JgUwNPzie>9mVk{862I37#c z;4p1&zT7~YcG6-m3^di#bPE(A4B zH(M}wMYf+7N(S(`tcYF&wc#=Lhu51wXe~aCXy!wL$z$Em!o~tBS7g%WEzfyI1KclH z{1Wo`(7X@461P%kOmGr; z5^WD@Jaa^Ij~Nkd(*fkmwoIgA!1E&n=%+l+@Vkdw4|ujzAtuRvfk`c|ml+*9?luw9fsd zeAH2se82)7dtzK333bAFbFfrrviurQ8=nF*&F1?vC3|Z}s~vfFK!-1aK`v?okPL`? z{&YgSrp9pXgcIK{TJgMd`rnUoi(q+?+KxPemOwnM9?N=N2~H^&tg!iQckY{>5~H{{ zrp|0?Oxi>CqVk|$DLxTdq;ica*|yBP2>03aP_=KYre}kj7EnRPHb!a;AsxF~|1UAL zj90_MP(tIKXTf(5WZ=cHli@tq(yQ?xo%b?K@7PTV&i5vJz8!b;bpu|tJ;0$dq5rW8 zuB&`BED1D#TsZ-2e#QU!QmNG+$4s|%c$%&plhIC>XSOC5Q|KrSqz+;rvw3hMhx&agy>S45WOQaM)sMZk2G5%M zGAqPrMSOTz*a@&#ib<;wGFl)Z@|U_L=F-P+Sr3-**!>y_7)DT48?_8e9Cun~;_Q8a z)k1IF3Z+>jL(b4W_9kKhuP2Si=j%L&JO`?`2e*5^{^#ks$kC`0a>9W@>3e=|4qW*%!)>&USWT_7F{A+ zW&z7!7sy}!nH3Fr6kVu(Liz=-O_%Z{629-G_$BN#=nv)+c3w)rp%Sr}6c_6`^}W9z zr>$D*#Byvo8g4gjw)~x0z1Z!`J7o-ERjuErJNs7xrn>v!YCY0^`W3}RcAXB?0=LYAV8tcJ7k3Mx*&U(_M=FE{NaHjSZ z&#rm*d$9VMZw}!R#7s(Tko}zZhSG*pFBL1*bKC&=d8tA?seYXquux=7ta|^)3p#Nx z^lHN<{z2&8L=H~QFf5rI{45*|PcetzdgIqG#~A+L@7vls{!=(q!V@VjfwaftncR7? zN?rbcv|HWGJ*6BMs$gehtT+_Iwrz7Vv$Ed>E1&-lOl}cgoQ?&#esJ^PVVjEfxj8d% zT4_WrQ%p_??npLZ_+60|Rc2euu)pSs@82Uxyc&R`*g`8e`+55F{@fL}SIAEduK+); z_KUP%w>Z(J+M>bB-86;rcor7COe}kZmq)8_6^({5P^|Nb=o-w(uK}Na6y+~7`OJ7Py zx08zZOEJ+iP=v+Ws8ShE;W7Mx1jtSo?sLEics5VBWJ9BJ0ofN8B{J^;${;9ZNX-kE*A!+u9ve-^8;H}EN$4Uu*w0wD0nlLkvt?*!dt>2TIRbrZgGQj} zTD+t72hE*{T$+lw%;A~019cuZnD>{QHoAuc&!$wc(E=deN2*%O7<85yU9d}XP}kX_eskv0tBX5)lBf%i;^ zNUKhJEVhp}o1uPvkP>L*XZq~d|G#|9MOD~gEeXFEA9{Sao20fos3#>Sw~OJ#C3^s% z?`c04FO*?G+0Fac!tbwx{U`$^`;YaOBQU3H@3}&bjDQ9P-%mYU%CzsILP#1` z@Za^2b+!T~q+U6J%u+B(k^fGTL-kbD{hpkZ3r3bKX^8onvuQB?_prr_bu;Wks<&AI z(WO03ciqHqgL%2-pR(5F*1O|RJf3d$CD^DF^YG;Bzu}xrcou+J=~3dPZ}7YPedW$= z3l*ykzn_c_;Pu1dR5|>%vZS>WqxsBV4s8ieqg)rDuu^3VupOh@#r`bkoU%4rX_irg+pV0vZSajaaHcOPgpO4y}lx6 zjGO8hu*t|_sGuHJVf+nvbPOg?2uxT!|NdD|1ckC_grSU6uO_0Xhz{72X;CQitXii` zF)GGVNjV?lN4UAU8MRU-LLJ+?IS`%ac(D`_AYHxjClmUm4)|KV`yMrKJ*Mgv)3`Mg z>?}ji0~s|7MI*1)jKdfsKW+X*4FY>CqMhW`Q@s7+Yqrqn4D-Q<)E$)7@5-oR3;LY)iHAo9XfUqenz&0wG7o$mC z5g^3lecxD}j=g<$1qrP&?ugeRiUPEMl*VR{_cu1U`k3C?e&>4>n|_>cz8L{MjMD`p z*BpBdkG)azQ6bq2sx{Rk%-N=&#Z@dlAsa9l8pcbO6HuP1x zIh)@8sb~q_1#ZD^T(2PLBV5;ZL5CJ16?`xHrq;w+Du&mvadZ)R{%1z$OPajPfw#za zC%=77EeEC@-3~6?G2Zs1Mx@uJCBAmSnYHP?jFA3tlAVSvss0(b6xaC7PRjqJ>31yf zFxo5UA>J1S^T)qWHS1XL{I!R29%}ytxCT$idiaXDXC0+$`2to)ErgNgwXSvRJLu4=b*J~ zNL0zRaE9^a&1+?ZBU9V30*+`8pzj%)40OZ}r*(jsR_TMcGxm;;ljBG@b45?2)~0K1 za#^HYe}1cI1vUm@BaPgtM1gBuPHsXLvcWa42={*vxAEYK;5$ z##v5skxPjQEU~DY5(ELQ7m{Zi+!4^c;_{ z!qXL>!^PQ)<#)I=;@O^Ws;p4#mz%3+m*R=p!<-C)Hh*VOtm&?Im3If&eoZ(uk&1$z zf8D{UozR5~ysZ5*yn3}OmtHx!6Xd6g{rJO9`{{d+5Lct=Q?gEp2brMVHw>zfrKJ6A zHv9KK6Au{SRs+p>vXVvO5`WC5vhKg@ndW3X+T-hpT4TTW)G;>w6SQ^()F?og&YWC& z6GyIrM$#VzD1e4;JhKRn8FYA?V*IOZES^py1OPmaaEONGBr6Z4pmaQPwiO=RL{&$KE=ze`}@=mvoIwOs59 zCSn00$PQ&JFYb1^Z(f=fwp`I9_HI2c7PHE*+fV!90E%uN)n2jh*HHhy-#?nhv9Y|< z9jAds!9twj;4Yy0D>?PD%+9B(33+<70i$p$hq=#MuIj=HY1qf)aajulY?FSPiN2@m z+Ka-aao7vAq<&LvX#H*SP6z^Muj2EbA2rV=&QB2>ogY2)EFbIN3z$*ZNmp2ZzT;wg zp8WcPvI`Ebl5Z8V2!3Zg`+N{x%=>_PEy$KRj>I0IS%=NGsHpgOcb@elml2TSM{9@R zg*^~iNvll7$`G>M$)v`hOULRk=@ok|36EwzFu?qFBedR_E=@Z`h5GwhzZDrWy6jR= zIvGpgYS0Qxl#}b~{IZ>Ne^ng(5VgPDQk3&0!ymcjU6zUe*#0wU&`MlJ0tgf$#;tnk zWU#qiFocb@oA0<*iU27036m)3_(1{AQiF|BP5#p9i6vff#eNS7Cwz!VOOUV7(ViK8 zf1h09+5_B1T{1zZT+Fsi`r~$`wUE?Ba$ABhz+KD&_=PvT_=uCxH`xf2xPU)t3!sX3 zp*mW;&75>0_XGzbAHv1Gi~3^-n3DIXy;_Kh4V4fDyC`t z1Qe50K+KIO7}9_g>d&Dv$CXeWrw)%aN+%7f1xhj=d7{)-?047be~RbQwo?iOTxo|@ z%m8tIR53#7qC4o0GVjG*U7o>W_nb`tuu5(Mx&U=cDvR02P#<|FPVFYB3x!tgd|C85 zjg4s|M!-Z>n^}jMDLtGw@0r=4t+IDuCjL5)+il-Ua1&_^0NFl9_EF<2X|X- z)Af34gValaj`$xI;-XHQP#sU|y7;H^ch5vQZW1qM8{~VSu%+^-dhzy|4K7BZuXOS> zf{fm~!v+F~E1X9Kd30a!CyW5Ita%J0%4y(%wi%>jhPF2)vd_0OhS!y++?7AIm(Il} zx*UM6low9L{bwG4Ii|`laMT3%(i7_A@9X#p(gG>tuifDu>uo10(rT1ZoTcBkF<#79)7?JFiZI7u8B80%ND=Gd*qap$;*}J=@vNWGuBG zox^t@So@}9HosrM4+#8OQrS}|^9N{C2L);SCBl?|Lc^$!>A0cu_*CUYeu#mEgOoL? zh_BEA`myL`vo_hDGNC5Y0N%>{s#s~{>HEUTj~0uHAL?rL+r2Oj=Br}^j<`d^@YZ-w zd1K#G3CX!>qclHsV<{yU_Oc6<3l0x5fMc0Vc*ZZ&78??>JPXTlW0R!A&()iCKql$~ zJNW{4Q^)S^r-UP-v1IQn#W;ONkpyf7l!o035nnSn^BUbtgfw~O&eC^sJAyh5`tD0g z?)CuE2ap=G;O(zye|p6ZOg{rgqZF*s1JQV!J7Yvqu*7a+#{;aJYLFJ8CbeWDkY!UL zRY_4=$&G)X_{Z0x&Y?`Xwf~9za-rMz%*j%>`y|s%<^xd_k*@_3%86rnP0Id~G+XD3 zZD*7($Bg5|jVFHkRmy4H{P`UGaJv^z-osDEZ8)FeOwA(hv7*~tS%cC2Wi@~cZx0FJ7~^;j<5mY;2zlS&7$%+CX|be&f+g3j~U z1JSrcjrOkF>DKY}z#1LP6Zpru$tqHD%iANtRL4Gs_u#-m+YgVg=mZ@WD5PsvBe1es zul1`s#|0U!(^Dd7mVGE!pMa-b0bXM~Xa~|dwS=(!0yGVX2nJi;9{~We;W4<0Ps?~Uye)4j4-AP^l7u>l& zfx?r|ZU(<>IbCoEGObRvOrEB80WH($ZP@a3dF9>`8N%X3_p?OVD0+ud32%09J5%$y zmkqh78@TUDxAE!0Va7CHHMqvG9!+l>{*+2?lfv~`O7U$Vt#B-)BfuA zcNoXTt97~Qoip{ar0?>`!@CXFAHqiE()y%_$*a~w4L6_9+_UPJ5Dekk3Ueur)HS;o z1@WZZa;c>_vmZ9e69PP$7-f0m3APBz*=vXL(g%eG7N|Z33%adwdy%Y-GYe zjGl|OKH)hTwjfb0RFQ29kaHU~4gxk%=2AAEuQ0|);|}0~ct86VD%8jh*ShZFx{rg8 zrEYeJ=0ClD>2*U5fZww-g*WT@qj{{-M;vZ+am4IVZ+IcR?uFsrRNW&B>+r4loQGD} zPf=W&HGqGq8u49!j5+Q$NEZ4WGW4UUnR2P_NaW_XZh5@Xr+xDJ_OmPSJc(#Gsd}&Yu0IU>Fw`q*L7F`6vfQR@ z9zu%@Z&ua&1^JWrwTqJoRRujj_`f;Cd0u_crbR}*7ChV9ck$C+f?c6t$O{A;jP^GAWkOE^lI7;C6U%v0uj_h6aBY38aBDv z%Akro7$OyY&IbW@!0-9`sDefsJ^{TN_azRdzf5OgJ|T3j|a|Hu@YAs8dVByju6Al{10Gb}QHF zE+j6yp))5-d<|ci+nOzgFw;qK!i~Dt`uqF0Y{Ht|f4Jx_@_c*wwt#7QZT^R}iEApj zx4|sOUaVgIHB3|Qsq$@w^+d4tcnX|iD6OAV6`DeBN`QVAp2c5D?@P+5jL}BNK49m66bW&+)+02|G!rc0v!gm$knC+#n zZ}m@|=9!$3^pCx1Uo;P^D}^KI(&-HHRk8W1VK&6&ne0RO>DXP7*@&wI0TmHpGy2PPjNx`h8teB0cpowz-{PT37A}{mmotqBB(rR~5KpEXj*2>9V;fVh3 zw{+h=>xFzvkRQv>xw`G;RC{AJ^-jaf&(vx%7daVni=Hd&7{g<{Y<`g~qu+cV1YkqB zMZkp8Q?T4jw=?g>KL4|z_GE?Hn%XkkEV#78%ao>}wZm(6TsHYyj5pjPMes|nc4YSpnfrAw`1+3f zMJl8Bzu2M>nu(Vr|HJT`EuE}ztJS2w*hYEEfBDuEzwWK`{D)M*7>30T-&%}h8oXHE z;7tolb=?G)1;}wQ?SLgh4UZ2OX)>KPIcGd^fVZu&B@GH%x@Jx`9Ve%4@#6MPcRZZ& zZqjD%&tCgG+>@cGQsplD4VbhsU+)guyP+g=@#~6{((4Pl0@s?axwEm22~79FQzQYivqO{rIKvko-A$KenmwIHZf3WD!F4`5$`67Kk~>2FyynY;3CO>HH6}Dd z*$)v*#~wU7nl~>ZmB#OK`K{}9VF#2Ri34?|?g#T2T>e)?#Oy4?ughiu zulvcTi9BRGq3~s`3=J{It*Fa*I+no~Texhs!Rq&aGW370z9(A+Qsb+FSm~?fRU3^I0pQ#a0C9aMmR5&P>sjjip{(^V# z`Z(TS3peHWKl4Eicn;D_B;G{_F@{1WFWSB}>3ov6#-}@N^(6%%bG=_|L%^sOalo8#2DeBOPv_8{o2)yx-i|_!WY5pF7 zl<-M=nK&^oE7z@ttRuHR9fiRfba4`>?npC(8j0z+ZqXlZlYovR(1>sa!! z8=%we&u?Zc0Pa0oDyZEa{yooN`E~QviXi|sa5*CKoJwnY8D8gWWzbED&Whi?x-8(5 z3;Pr5No!nh2?&eh(*lxM(;fd%d;G3WM8_lA<`AWok-<2@iwie(!+s`fsgOgGx=sHC z)A6wcdyRU$s`-IY{UZ%(6#GH+vNoX%BLCXtxdA`|fR31b1oISWv8Z zudja4u4p(7Wo^rBFtwEg_!|X9&GFF>Tqu{P^Kzi$tynP4vf?KIO4cENn=uOn6qA`VCp?(^{I{ zqm!f8{vs{6k+4Ee+ED81GMT}@=GG|~RV*U?dvJ3=o25nvThy9kn_-O@t!M1fF}k8! zRFXZd=C2DFlmPRABCZ?cV#~l5;fC7-=X}8W0vFX(i(uOn&9&u}9 zdOLb4JQW7-FLPt_dK-pz7m$^Oz_s{_m(j>)ETvE{FlAbBiL^WX1Bin=DQ~+V&j4en zp{*f0i_sYwSfv8dtAK`5hU3o8t`v4p7OSa#^W7xh%*xn)7{4)SUG$0^N2(@D_1jOy zjHv>Nr;55m(OSy)zZlFvMSRK>Xn|)2y}7m;i<58}kN#@Sx!JZiUHZrK_sOe2!>#92 zX&=_zBL0dXE^EX7vz`8_3;-FqvLyd#I(l z@pEp^gwhgJ<`t>I(Uw1$0e82v3rEG-I6ijm7N5=$7^zzLSm+!`+BGjqN7WPN{%1Ox z)_-&`yk-oT7Z8YNPl0V`3HTgRc240}pX$~$TC+L8W6u1!+nP}n;ue(3 zqNqvRm&h6VEFxx3PVmlpc|}Q)1kZ-9(NnhRLz02{!V~%_Mjp zrQMEkaOg1inXw3GUFUbeD2syYv1>cUsjGiiV^zmVj~mtg(_p)AZ+eu>yF+e+DYU+X}zPu`Z)?b+=Dz$*W+R(^P{ zki>S5%{Dk-fewHgqFfid-E^gPv1D$`G+M=vbCajg&$bG5weh8qbV@!vqA3D+4Ys?~ zfUT2*ODzxXF{rH+q1^jHviGB5t2RaC9dtjG(@p#w^bPClNQymhfdLt$Q}@Z`S5(s? zCl>0OXA`#9w^mu(0L1M$*+&-Qt4o$9MR|&fl({32Iu~WMF&XR^1MBaHU|=C@TIifG zpr{*1AJMRs1di?PFC&Di3?8u746bQ^G`WVO(Y50leDPDcCPd?%g0s0#=X2Fu%&yG@ z5vtx_Ye_`fmn3?YVM>QSWHdT_|2h#g8A-FBvp0pcs@E_%9&f!9Pc7A!BBbU+U`h;t zyI0lMpii%Ac(0`2`r||yc}%7`K5?u#fBxU1D`xn7tGNFKTcu`!1G-@FtQqonNfxMK ze{47@2FDd(6>(-O(jVp)83~4>@&QII&bOC%bzwK z)y@(Km)Xmd*6%;$DgSYCN4#Ish%b+tuTf*y>kWTmrF{kn+x6~R(pj}A`4gkQBjZ8L zI=|Wz&*hnK_D5FMmho)F5(V`#{fUtIq+tmew@?s8P)0{`0Auk&JCrz_A>a@9VUW@Z zmKc6cRo=vu6cAT7RXBrOW{E`w*{N)vl>W^P*$GH=Kz33Nl(Yv1krP^(PBDZ0-0tTI z?wg&lgq@(#rY(;i*4EP1Ei3S3OO(0K_W#la{bH9kIbNy9A>%E~@Pzt_kjCc66n%el z(D}+c+IB;Y{t1E4K=Qs%NE;K74pG-F9PZuY(hAwwEDVP1E z$%QTz>ld7=zmXNH@Kz;TLITPB%b+NhWHNeB*ZwjS_O6;_@|xtZ*>R1fsQ-?rl>R-f zVT&K`)vD<~Z7$YI?GWgbk3N~A<)i*cIi2fGEBrMpogHm0b9=$ z%K+oRBZ(R#5O<;~2x5ESY#Ow?=iIsAG7UhUwsV(8rytMKS=9&fTqjcQ9Dj)YD;*E4 z);M$nGYAhQ)__Vr3gM#SkqCE0b%Txml^{jAeN%f|vv&V!AW6B$#tpX-@berYw|KRJ z;qo!xli;6Vq+5X1Q_oJI+8*VF3VtI;WhHri<>~+4eUUXf+G7gUXa1g1<7P9OZX)05 z2a+gG_Z)j#jN`X*3`R!Ai8|8ZhuUxVwmlukyP1U)fDn=YlU}XM9@MgM-!+6Z>MyGJ z^K6--xd>Czr-%ubpVE8&ji=szD=Le8Hx%ua@{*!bTwT#drkv={NqNVq9NbV(wFGd9Wz z9hcORh356(sS#QmbEm2ie8b8WD4fD_xn8X1YX;YQjIGp{?u=unDxIo)>?^nbNJF_z zI>`adFSt7%oV~0>>xaT^*vOX-)yfmb`P^+1na--osB`cJpnZpyDR_vOJhragC-OST z6);6!3@FxaO|}TfZ4%q>y(!b#)jAfUd@WcrxQIz=$q51>c_I`oMpH;WK-;i>H2zMW zmU>d$8o}NYkXJ_?t$|F(P`}*#GdMyozSl6{G2W2Ke;ajIplm?)lGaGSTtuI)0FOdP z*VX`WW5L?9QFTe&{cMj0@m8*;Kq3UmRSQGD+R%8Wb@o@bu(xgQXp>m5l0xzW{w{}) zY?)0#z0Clx&Dm4XozLbM5;gG8Y7BB=H?|)wn-I6>IBl}CmxXsA<98{gQbTesAN@yf6zAyC zIE1WJ$ts~I@%#U(Zqfdr&5+K^<+#e9JRci&*RuOH@yGXH7TW6!u%LN;F6^S@TInZJ zhQ8wxKwT3Br4re+jfgOjPl<LeV+In_5d25+*zF z*CNBrpqz{K`}E)NiA6}>pN&rydFBAV0t47Bcf%!3|yc^ z(IRAod@+K$YgP0Z86melqZ`~;iCFscZ2OP}E(-bjFA?Vx>MNu<;TarCaQTdg z>v7k`c5k%c8-+`eha}TxrxDklqv2X3pY1G-j+15Hj$N2U^W!b2kJJ12({JPzX)@}j znS_t10kR~aK%&{QBcjQyPgcMbi!6%Wq_frD^pB&kf^?PJwG^U!^BLNYy#~p7QO7%& zXMEY^NIV06vS=!~SX`>71^T%!hjkOxSCLiatazKS6LK}e=s{_38+L;^9mjBM~50JX0Y-j9A--u z60b12C^LDC8KW-VIITD1kWCjTl}3citJunNCDDpoBz*3VJOG+s;}(Yj&>c!ivcVbF z`b_m2g^8|w^%`%vW#RCXAzNwX)(L71BLP)i#q_TPkKPHK(Y;nb@-GbZSF&faR{nT6 zHtpRxn;_9bnc*xN82mdw=5R(Ta{!Dl9*cyWRUB9`Wp}Tx=k%_dF>S}|LIF@56L%~n zJ1r(W_aqzbSR@6CQUNQhKTgdUhsf_DO0{hfVb~qM$KCut!kw`q>0p_>rm^i!RP??z z%N0GNn67m8Mu9sfwd$ie5@<&O8%V_Ly4bHd^c19LYkRJ}n1dgz1=b8sY8G)MwHx(c z&i+C4O&`@Y$~rR{={;nx7hQqOWNByCu=;-THLv#}Bff z;{Y?IV@)BHxygT}U#@>e&;J!6lCD66n4z9XO`?Ytu#9mA|D*+$QsgkE6Qy+kt!y3)p&vO>s}Dn4B9n z%k|qw0l8Qpsv>S)5}3)>Vq%}2T<8oZA?UYIgwpl)Mu~GwqC|Mv$Q8iM zWaaq@M&kuNpO%EHCVc9*SxioIIO1LU1UvWjZ_;tMDjH}mpwqt=${%sjiptX~#V29< znb?+~R!`9CO-@c@Q@#(-}B(IP_W<`f2^<@R2=RlVj5{k%=FaBvPV~pgA!U^ zJu9_r&8P$6m8I2gHr3BErp^*7z9UM)5YP;c7n+Vs6O|v%7nl}tPu<=ZZCm?4Y`tY% zm0j2Fttd!IcS?7+l+xW&E*b=+7u`yCm!yOs(%m4n7QHCx5Ek9t@t$1Qy`OzQzjuFy zZ*a~r=NRKS{)Y!tP7wUMLF@CR&DROBN^uU2f8 zIrUW81IlJWPE2HbR8S)knK+p2lv?Zo4Lp3Td+Q9gt0bBcPrv?CPB(3(e_!Ne(a#r| z@uIY&bnub2iGa+9Brud!Hh2JRbjq&VaV;PvJ>mTAWz#E^vy|wV?sD>$|qnOGrJ51sl$Ky@m;eFi&oknY)t$AaE zVT8wSNMtwH&<&(;#LU)g{H;l5aoXu|LSeuu@xMc9^L{ORj05}b9jm64Q>D5}VG%-v z^s=`bCQd;$o>EDUf*I3YYJEFarr1a|-F!|IVbF3BCfeoVq@N}jp7_csTk7uOmOTjO z{R)>}Rl4Kri(!SL%#@I&&j;<%X!(GJ6DEiba`2|63GhO+BT2BK)#Rge;l&oub86oP zLIch2uAGoj(Yp#=KVrFZ>F-3%q#TE9xLH;Kln@@)$tOwit-z6Gy#VaA4WQ)Q(D20s zxn^(L>w$-}m<~7@&*N z6$HC*h&_Udkudf`QP){kvRf#zBzFvXv_g@RP?K%xjIQW1Bo66EB>RKy1an33+g4u1A0AEIP_8xPNKFAA4ARQ?=8HRgx-B=d zwn;Vu4!WT^(o+>?es*!YQ*wghe~Vm~P0E6*+`40RS*FVjSUMtY<9yc6Tix$fOR5f_ ze^k=M@1tC8rZOzc^e*#7E`>cGE>%ElbFShQP%kFja*yF;!`aj-TaTgYmC#=RUz~`; zg+%j!yC}YwZ7^L@`g9W(8i05x`$GZ$XliEqc)f_FN2X<}v_JuB1*2u)Z6kE-Ra zheBGmiQ<3@K8}b+f;7Mm5eqlt3(ZNXZzzUYok(D0!|10~kvt_rdD?o$6V5QxU7na{Z;4_ z*682)%2{@v(B)3(*J0-$$Ga)zsSs1S-=$Vu1QPoOOOKZ=Uo z+6EJW?$ug#xz^hEF>3NM8U!|Vj=7NVq&v(@paD4Sv*s53UVxPaTn@+3M7_?XU`vZ*O|lFqyV5TEW5kQi?vk7Ai(@}*1o~kY2~fK+#je9e zxHL-axO9{Pwr7ZE$^z8Vedi$$moQwD5Ld<$ZX&Tw51Xjo9?K6Eg8D@pG93sh>9w<3 zrc|XgIFC?$DA6trBFwf6Us`-iV>QBhceRhHTk9wkfo~Ti6AgJHZ%_{#-&+_w05COi zf6F?xk*28vX@R>|3(~wMZl-SKFiF#>RtKM`R=+vuXv*I(EU$);kdXA1mAmhGXz5k= zx98JF!>=6n^F28Bg8?@K;AKSWOT1NC@IJh^8b1Tv&d2;+8=WCW8++$&5uEm(651j(V~w@UQ!AC@nm{!uKhkUZ-aYPBsH1=1Oi2&Wb<>^ zB!CTFJX9=y_Ywh{x`Njv0RZJ8qdq#@hD_P{?&{d)W-$Ywl_Lh3x(TxFc7+}NF@}CM z?9E)#9g*|Sq;|#F(unYYTwEWC>F_ym_m}3)h4J0aJ>bHdkc61t9IfS ztdU9U1-_BzAjOaaXGQKvqhF1x2vN{EImbcgJ=-SOG9zj>ylqFOT#i`w67VfL%4K8U zhy+akI+{ILe$e4m`bT+R@M_a5>Wu^94>{{pimxXJJug9-{Uxb7 zd-QB1!cOsmd^S`TW2MDTSGz^nY& zR}q*_-4YU#THcWDOz;K>-ULy$%Hy=&U(A1c`)s6Ws8>bME2yLC+VII+;U_uXSZ z-)q)dFJioZ{~+jg!bxq$PBn-7S~YL$48@eA=j0lkC~ta&kdOrV(q)iv$9KV}lszpJKaC2)wYd0A#NGm6kUihsynH3t7 zDdjO^n#6iu`)|4Y3tLjoZdlWYJR7985ULtEeOfU#bq=Y$Q0*Q^*Pyx*mglpt8~dw$ ziDFnnOWbhN67v2?(1PeL>!VoCM|aB+XDx(>X_rEze?f_nX9)9r3JQ)y_XQ0_`L^3d zW4Q*;3RM@`B9`@}!Zd_ASaBjZAXFl6a83jAE8pxPbOmA>dh>{X$;@tlakPD!D_y?lUqnGH2wpW7rDd zd$CVC!DrD}nH^Za@>$pL zIltCmy}lxEz20ENW6_s75#RuCG?EHcCyurfis>Cn5-fYi_ij>n^iK`mQe53EM1q8x zez{@rkVPV_$8spg8wx_%NIJr{9sG=CrKVSkSXaO;{TFgabp5t{&Ixll8(( zVE*=LAawogNhOn?U@~F$bzMQ-^uu6|MV9cTodyRuUoDq`v(iDlwZZXu`-2Z%{e3gB zx7$HyUhrVTle7V-pZou(ezIF}I*yLBIG2~rU$L-DgF7pUcpOY6ssR{+csYOBTLD)a z)Yzt0=kal+LNn;>U9nd(}+AV783<)e?^O-f5$7fNwPz3U_8bR~G3H>7aT4zi~YR8eQ$p zsQlr4Z~NlK%}=`)COtF+htWf?YJBg2iCUD7Ac}Mym;EQsXeE}==ZWU#9lwiT2(qSh z6lZ;Eok|d$*5w%f^=C+_e?C7{Re{`xl1`ETA0hk$zLi+vOIVF)^^=feUPmCaevRM~ zWJb@3QiwzW+jU?fMKUaL{)Js^AlZ0W#0d(1*ofh|oNZ!Rft&&(#*h2Y$_1`i|1FM$ z8a9?5L!QhGQ8^LZ7U|#ZNVz0Fkx4f)x~))ANQI48T9q^UJr7UgKwb6`qFnVS3w-4h zpz&i4z6}vQ>Q?>ebTUK-Y$}M0UC8BTf4xAZR zfV6OjjgwVs-n%Ykcw|?_gUCjz!@=?p81U;R`WIPvZ!A~~i3Qhest!05NvXgy*Pz$V zmX0fT)?|PgF;d)v@&og9&x^~{ciRck>SZU9KS9MjzqEH_KL7E~_lg$#d10>F|5*N0 zzX_LF$2PbH4e$N7#)qD`?2s&BzwRHAI2*G(^tPwyGyuALKn&g`m}N#BW(CrtU}a&W z8S%Us5k3TZTDkAVMR_T8@T!zvbllH#wJ2}h55jUKk<5C>Ed+gzp0W4UnC7vs%*4af z#4pWu0ong?L+8z4^BwSFKLhP@?01wC+?=K?13XdcO*%!a#W@d;Xy^>79Z{|Hytl<`+kYTfZP0`PvU_{Crioq;?TPGyfQj+E)JqeS(2p9-jz z=SNh4b%7y_KmOyKn$jRp|7@B*&wi#Dg^Vwg-^N}87BXY(8hZc@Gy3;Zt<~cN?>{T( zeWTwwZ5jGT|I^J+dHy4D_uXdN`=YS~^Sw9d-V|%tD?k>VvO%`jJZR~5%F%H&>IQ`C zB2ymQe2*`Q>i@AyaU;w;VB5L_mV>VXOCF?j3L??k|h2#`52Ul#m zLj zKVr2ix9$1~OubFtEQ#sQOY*rG=;(V&3AG$H=s*pfP?J#ng| z4ephod4T-F8}OK^M)uZ2EdY#e5&>8L-9GBcp5w4b5h110rlwW9Ol$SVAK<^5;^B9M zfZ#`?KG!G2vHU9FVK4?R%W5cPI{;C%alG5&>VftSbgwf}GsI-|w1&m1<$0Jrox?k} z%7<$9N5F3H|J&(o_mOMh!1W)=?T#(W05DPouE8nL-~G4_NI2lgjj@g zF`Y-jef;IOX~(Jn4|eW1;nYn83=jtZ$UzJKnH!qztkYkY@I&A9_wP$AERP{90zf4X zctII1o)fA&hXm8pd-ti&)W(5M`8jx3lyiBa*R0HxUe#Oy8#}e% zaz!=Fw>G&tu)JI3EyPEk_-B5({oI|jyR6-7OtoV7JZ{5@##jzf^63 z_6e44M_+aDrzBO6ErzAXiGn@B7O+G~-(KtwyDF47!HawYD3<&3d}9kkKQ0P%M@zv3 z+(OnY@`#Y|LXQ$|*WHtyEjf&Pt3UkI|AF{Izx$M1-2D&O9~7M!2l_yQkIo;L2h=Ra;Qj#jCtnW#t_>YQ4EPu zO4-FR2tUqwKZ*Inz)%YWOjiYwZxf;<9rOdFqq>cbQ~+d(?Xq$ipGLQfp%WTDYK@g6 z;)jE_$??7)N4cj_LAZ&4!U;t(v>af~Okp&om`C}L+yRYOBmQro{wQ&Ol?Y_Nt_36e zjIB33_B*rvJ_Z3|ypH2Y-I^6bP)sweUBD@ZqM1o{|0R$JM5gX&G>;{!O)kPmq#-Uu zE)OWb0-WR^$Q#D! zH4;MJu-Mp?S3DxIwJ=*2S`6wT1v@@GA2BlDB|# zn*%&GbMkGQ%B|-1=t}1s(NfK%JPFFE-gnW<_b_bnTw8=Yk2xMB1Ns${nMxC28N-cA zz-mRn{Woq5VEcdjFs;S3sfKeQ5G33#@HUN}#P}Dw4TU<6)HOAeyu|LWlSA$mrNX!1 z6(3r$N88uT+P2}%u1KqO>LpkNE;0iQNL0^{3tPLa1d(X_ngpeSKs{&uAJsb!IFmRo zSrP7*y5qZx$n!sR^ZmtmjlDVRQp%hA@LOb1PYS^Cu1jK>Qr=b+y zL#%Sx)Y?M3M4PKCoRxiY7*zS{aIGXMt`J;!UhnUS&Tun^O5-Jln9aH6H`4&S-t6iK z2E0=?g5O`Q)=<*f%A~){HUk|4WB8gz&;N68Jpfdc4uHA}tWHUIx2-~g!F8hrJ-VT^ zn`!c=tnmQg+akz+M$Adjsx|DCK0~(O;SA(Fo@U%v=jSV%FC~wId%8mDh}TIqmXP8h zuQ|5?y5#`_QJrA4Psa_pO^n7!8ks7X(AaDVsjJW_XJE;`jnE)gcs+ob_1**@fQdDki{uA&o{?heqCC4Y)j8LT#zA?v!+2(VWxyK z-3oZ(0!;);7Duch=nr@ngRU|Y8=_Tya5pJPPejDd&oV6;q^AHR{Ovazxxn$G?1e&48<_Vc+>l9A(8+OC_U~+;ukw3x4d$6}Q|S zPs0x0SD3W=SxsjBW#WyKAN?fFSEmnFLh-z}fHMuiJhiylJ;6XUi&XfQY)g$;CE1`? z9$s9d8ByUTZx$j>n7}7J)~z+hOc8|MHx94So?!3blpc@}tCMDWBO7%>0gG}OR zf#_vO{HUBGo;X)&z@7Yf7y`D(z>vd-dH@mVTPQr`a6_(MHI~OyS<~_s|CzA(2en33 z(~#Reovr?QOBe+Y!~AHjB$veiUQKnnir*e&c;V2hNi9u4>4*9$9i{c?SP&dAA8DXu zs`jl(;*1zI2B~&jVFUEbcUjFZj(19yBRZXyh)BQE{^_|gZi=_c$Ht*YU7jrNhy)9w zuMdc`Ae{&c`m6|jxlkdWb!aD;#ZY_p2EvP)U|op_xb2Xy*1*=>J|l>yeJ zG=4i0e%l%2fwWE6u{Q}e3*$3ynq&^^Xi2(J@;t^FRsU9wYC@ccfhdp?hYKLho^CF&TA0LY6X1H{bSz|=g@^@Y_`D+|Bv0yE@8(iS=`x0H!81>rB} zQnf2G3eB0=I4hG|s3nI%GoF#(^^aq}aWNVBjFJM_Fyb&Fs=Vw*upajLopcY+V^r56 zQ7124PD)+gy|(6Mjn`(8kxwXUa(Zq(qffrky*@gW2bms4`b2(!MXnxWEX4}>7t@5F zbkD{jx`E6eP1@Hcvjo$39NZ4u}nzkgGRDMoCb!PvRPQq8w|(sh`10UsvPkigTwLbu@6f?ZTgS?-Br zGN|N`gn+~wV1(L(*?5nLLSA1Z;}0}Ic!q^d;1ISjZ1_MNk=98<8AgI_wji`yzO7~} z3(|iGn0ahAKsJAV;R7scL>|_&-(O#B=r>e*)YL}q3G*qV7M=s-_^Yk_SgEfE!9X-% zo-E8zx7nwO5#Hi-v4;X`^dM0mBkb*ql+0w9!!qP080o)GHu4Pye;^4TpGM1v_|PjX z$#Y4V{^dXwCd@~UaEXy}=& z^wNk?k)*QcboWmbIj*iTu^QA5p)cEwoyIOx8i`21K@s7Fur~9 z3WL`?69fB)%E}4?lIc&cRZ}`MUG<((DksLSKN5s&pijWqvGQvEX?Rc%@X7&q#Q&}W z3(ZkadN6MKCx-6te}U)HUcVP1jq@bTn1Bd-4e@p15H^i@Ih67B*Rucx`e}*#1WtjO zz{)RXL}FJoTCCF~Z0W9Dg*gpx_}^+EC~Ch+8jLgWWf%SpP<@G4Er4w|5uj-P^`Qib zl9F<5Bx|14s?ziH6TE*tCTGb%pN0=HE!*(+@=yTxF_lprp}oD`M6u8W9GC zFe9^3R8T(xu9;*~Uyl?QHLfWD&O*6sbz&oEufbZub{?zyC?Im&gIm~o&~|Ak8I{1v zGf=dJxMSUSLZhxLX9~!@fvT<^b#)W}uS9`+Yc|^U`?EErOPW`x^_7b*u zBI>D5XQS%>EYAoC{0X1djHQQo_0ayJWJ#c|0(3L-^hktHZ~nvUQS(jw2gUUNE*9N< zYx=jGN?EQ5R4Zp5IMUj9$mN2>>oK+%~ zDi@X*a|lkd-jt&TcxjkG3K2G9BP)gX9@m23?S5Yp(*&?d?M89+V-Gl98UJ(gQEr}jkfhw zt}?UMr!h;&xsYl)jRMCOVA=?5m#F6>-JI`+;?NSqlwn#6UyPT zG4p>U*jOJ}o~p}7Kn11?X3LjwR{xD&0Bj(Dk^8g%m?Au{ZuQrJEg&KIGOlw0A0pq{QDWN-5ee;0hEj(6N(e{c7r2IgZJy_?InSp zEqb+23|hum4QnFCgFf2A$+>p{SWOz2SqKqsFS?Vo1hZ_6ZC?r-%RwUz2eTFNJHj`f`{}rhPz07ve}T?qk5o=ap)tB%-z;CJ2|G zsLyk|?_|`>CEj>B(w&p{7_fsQ|VlVnrF?E2>>NdtOlwhiq>wRykkfr)3LxtWkou?8X#J@WgbLmO3y)HD84 zy-3B)kqC7%7FTHC1Ox1E;H8-KKh0h9SU=zE2{x(En;*){Xtc2#v=L5x8K z0ocWwrP>2jjeT`I;~|1;`j#S#R_KMwi%!8nN|lPlUw_5&G15OGifdl)CoJaxyW--^ zC`ei#o1 zYTE&MsN)>~R>YPJ z{fu5rGD~!)c^k(;fw5n)|t-6cS$%5dZG)+sP54hSNsOJ4a`K zjw-3=Td0OL63WPj+A2C#?(TU8wAR)%0mCDJgta8%c|013 znKz27`dz&{1W3|B1<+2Ur4QQ-Lz%cy)%c{}JSSyhZjhcoC&ZGHOtYY0m+pA^bwYwQ=F)C1Xzz}O z1+H9AVSB!wLA{6mA%F-f-zl-m!)AeA9!mETDLnUmwLp-J_-hs@BgVQPNgtm< z<$F^W(YZQE^7ihKLa_?@#HB*-Yl>-fmA7RxJ;`9URWqcA zndM2q0X$zh`H1RlTqWQ#`Q(8{bC;vvX+1j<3Kr$!E@P-6KQcgQf-%ouq#JgEt7fFu?OdhnvuX$0|9XZIXc*}zW?O1{j3+w%x|M;SIvK`XNmA5@W zr0_V#uK1P(TqBTgU^+xuD6{jo~xkEQpXH0&~l zkgt-js$8~lTE*O0kub@=Jh?Q7CZsv|5_oBKY$}{D%7{}n!mHB?7 zS;lE6gVkHxRao9%&3nG^r&(F>10FYU$TPjRk0ufg!HDxjKOH*`n{=5WeDNMum3x z*zs3Awp!~NfupI$VN)z4ycgoy=&bUJL@4~q6aKR0o^oJfGsT$ejI)fp;W3{dsY+7< zXKm_^Ifv-3&)t_RHqWxaOMD@Neo4NJIdm)i?V-nb`sjyAptwxq)jLeU7ab^yTPVDYCma&L&nPh%O zf?AgTgsu>;P`0a{_3H}oh&y{3nvVp9rFd}EE1nIlBK5FOkdGln9{AcxV>p~&@j%S7;itE{3yG^bv z-xo9%A{hKFJr;DN({F>sB*S@8W6v{}iaNG^{SggQ`N7eTGuU@Uf>~eo6hq_X=nUwV z;%U{lETGtarf%@b*mEy{1 z=Z0Kix4qvsW>6r@Zq90&9gD}3;=PA%02O;c@g5>WSe|TG2yF->7L_HZ`4$+DWf9et zq^>K(sNQ&aCGhGfF?O`fn=px4kL+^UT>y0r<`Bl$aETL6kiafN-zm|b%tH8NkJ~W6 z1y+#96RP4S=R1F7{H|7B0gt?mfrn^jrD;Ge9}0kCjurGhS^+@d*}>wxM__#GK+-G~ zSzFCj*FUb>wP@CF+=F5$4N85!^LCB5<#&y@2Q5ywEplXHvtMv+)J=~TDzhxmm@K*DB%DxJZCHeOE&j7-dv5cPOt?e;BaX6>;zZ0n^Q}%e zDcq8_X_;Q=%_WgENE(CB#~x+hyFzT@TSXkyD+|@%GIQ|~SH#lkg(P}CEsg@K%oOfo zI`=2N)0czU=RvNp7pkVUppDM(3CrV+M!gV_cj2~8nh+gg6aBs@9Ur*t@i*Y`IA?Bh z6QajCmamd=0I(swkC?;K&w1hiodWR4dDeKV^gniBHG?PMCvux=@&}TDo%naT)PrVX zksl4AN}3jGIZ(FXj$@Lx9EpSo3QTmxZq1cL+Fqh;VRkJkJ;oiT+{0i``uIaNh-!TXCIE!I;_9N0rt_Gmw3z|7Uea4 zxjsE~%44PhE!)@|4RqE?w!%x?ha<9S2@GAoOU8pr+{*R z_cZ?c%7YjjJ)b%2Aj!WB;-s(zvwzgKCl45wBjE73U6UfHXi+P&7jJ!-BYAmkAQRV- z6wkOrJB=VHo1HWdV*cWs$MrB=1}O0U1}3Z5>5FPrsK3Az^AK;P12!iSqh`axiu|*e zD)bP!D+_Kz8&=^I($K2<&wo%kT8|KbKt-Wi`^C9};I8GZ=)PX!NgMUxpmd%dt*+C7 zfIYGHqZF6*qjMmJhfr#Ghws?DPNq@Rfhl}9ZC9cEIA1-J4C*AUwJn$oqM`b&5-;`g zmb0A{rN8;rGJb=~svpO-a0T4cH}z~$MJ|qw63_vwgR5aIhgfI^|(g8 zLB+Dxil2ao-T@fn0-PH}D|XaO<{k5&cu!o(rj+bavAF+BApQ?lj2X;(Fp2gQ8n~e- zDvAeij)DNL7$pEtOp>8hBI(0AC4DW*-0+eo7L}%Z%<@zKL-rb&Ef4u(V`BsKs^=T9 z9EYy;hlM8R=p(WmN$M~p#%`*{$6?Qngfn(O$j|5rKP`-Ur{hU-IkW^dbY9Ke9@^$*(rAZC|X;R?6k$5R(VLCiRDG z8u{3xUy1qNeAoD)kj7~eaBQl{dB92oSS{8)(ttbf z7fbi$Rm|u4b^E~vhvgW6*_rPVej|t0#P2<#ezt!}#jL#>1&|cD*5+2}D9!%Hy|-E@ z!2T@ufgF>dm9V{Cr!6H(S2On#2PR}5*`W9IWi%H$7sOfRSBg`6I=8J~Z{|GeNax5) zMBIWFasi&N43G_J5yl9FSxyUX>c`kN#r2Kz!-mH9zpHun%Jypfggz_^<@j*Z^J@$w(;~oxdhnv#Y6#g^_WQqD zsdbR*^ZS!eFx-EBDz5ivz?)m}!(_i2(^Dh>m`$|vDR1Cu75smBBI!$#0JUT_BJtXp zj;lOIhOSjDSK^alHZT%hh*PO(zxhRsB;~*zFp!gB41YOFyOtJ@9%#ZvwrHsQp8TSM2z0B_Cks4T(v+sKMS`O67Z!`qGo z8)g~3)Q5L@-}f7?yNx}v^CgQlHKBhUbo|`yD#GrliU~I3AyOBj$Kj1+#DUJ69Pqs+ zv@7fVx9Fr|63ljJzzVi|jhKPnf4^=zO1;A9W^ubxPB_i7RMDT#diWz-XcT?%4<^2U zn%GBe4Mok*33F}5@}DmYlO_)onS37Qvd_21x;^~kpEaG12&)$=5l_gB=UV|g-7A1+ z870d;|4u;fw_7ysTq1}?@0Uq>AKyq5zvB^3QpGs->x{bYo!7fnzA*Muy$%8vaRVv^ zQ><*eS@c-36XcUkm_vwff*e(ogoN^CvMm)=Uwv?ii64+db_JZ>;gl}71W9Jk7^#)> z1i&zLV}!4a3DoQ@&x`Og!L>@YginS`Ly1ZNIizyP_EQ)=3I~qO!bZO@>B)M_3-<*l zhLbh6H=Z7^eob$MPa7Jr4Hy=1MQtkR4S$oSTcpZu9JhJ73G()4AmJs8(fC1{t8@6C zh|jCGc30VHbH5=Yx6l(T+%3Ulnc!hQ!t4~cY3bC*hhrLJ&J~F>dK=?pna;}wdhQLd z-U`{@Zs&%kOO__Y0rHwQ479fU`US=}D~mdBC`l&E0nvr5@l2e+(P$vwXk-8GbTo)Z zlPT_9qW_&@O{R0?Tci{-P&|kR#rNjSx<>cKGJdBLFR9-f7Vd6+Ak$u+wEHe8ds$ly&?s_mMPgk&6r6<0N-S^Y@6WK4lA;n}wZh6Sf} z?~&!J7@qPdh6$-Qm0Mf)kKax77L1LLtFENkGn>M2WmQ)v`!(~7vIQ7~_GX6~=w;d& z#0Z>@)eFVqK^aGGKydVa0D-bmH@fhXN#GF`*vR#tPyIt6M>fv>_0O38f9#jDCb=&U zY1Di1AwSbJXGZ|?2vwaz5~E2JM|OVv2Y|2FdNRQBNri;jPrvhn+&CbP=!(<2Qy7u2 zarHp`p`5`_pD3TgCE_PkG$y~EBl%;i41(~zD2Vx?HRV_hp5$aR`u!`{+Yc)R0SaRh zg;ts42!{R!{d}IKJgI~J4-m%QQ+Ma#Kh7iVJ+~xI2b#WH3)hh|N2dg>w@aok5kps# z27EeVBv=dJk-7$mvdl5g>v5^_;E?R@ zu=t!@+aDO8M(X&0dt_FT(2?n+x|Y(CPOL@x`W#xBD>=LX0v;s%b}Zre_;k~ZWH|B_ z>?4FlkPeLVX){#ev0W+>H?MGE_MzKjI5Z>n?WfLXl%XEf#f3{|Bbhee&{4GS`#*ae z_g;K5tf5!VNp@=jeEQoqA;BSty+o2uelJC*t==ep3tzQI7T`)RQk@O-0^e82h-Ra%pdHq!rB&FK#5}nR04d!Fu8o9{KGRyQdZ7t>VZfB-R)d_0_Z3 zbD)~~>mVXY8pXvAh40mr8*Mtf@92y3h16Ognp;avxJc~_q+gvs0n~{SPX7Zapha%m zeY>fz03NmjjX6gfn#HGbkgW2Eh>$%zJUr1($~`Pk4a|&W4Zh3+s|+I19vBR^g;&~Q z3Crf|u<`GU)mEWoQ;k0|6XgOc(THka2C|2z$RkB5_$8i9XwiqioTLhB)w+;26C6>(|OU*q}wQC#K^62`61B-+x z#1q^3cwfLs(c4*NAZZQjHFmKP84lZdtZUTT+*SC44gqgvw**_$#o@dE9wg5>Xz>1@ z9`q>)V^Z8f2&`PO=>`lFKmEi(Az_{))0W5!-xS-JvKjY_%M6l6#UAx4 zv}QCvT2l48PDftsQpZr45C&vkJlw?Foa~uPXFjeDI})P8D$$&pBVRUM>96>LLls4i zDL}0**rBmx5HT(yKTw;@i9-a@8ca?|OL7*x?gY(pPit~ZiWIMNp2zRKFKF@wy$(g(#B>q`Q5y z6S~FsQ(93-q}?PIheSJBWDH(Iuebs!-pl01yI5xo?wY(E$Ioz7$9>`Xf7{>&$%My&LzSkxlY(G_7++0PbdJM8OCzy4QfR! zd0=y$4g6R(=XaYsq0|AWA%pwmWW*;JWJWp6oylvRKxMaJoW6D4dsf-rbc>FXNe>ElUVe?JOZa>o&h?}?ciX!mpLe%~9*FuIZywxJze)(cy_LE! z-OOI37M7}4)Z6E7M$RcamxKR+He2K<<(&fSpig}Qp`k!N?sV%TFdgUy!gkR+5888# z=NN-R9GqUfi(nR`r|7u5V+p||`RY}-o3Gw2LnLM!w$-+53LRPg5i9uSX2bK8A}-C; z*F|LdPW`kP!)n~B;Hd|=;CTPP&JX4PK0gh#O@$%Yhq=%D!jI&$MQ^t9i8zhF=m|w5 zEdk5e*SRvQ(WrvS4mgHn1K;sM-SV$RV3zSwG~u!w(ZE7F{YX$NsfRdOX{1xeG!p4W zw6K?J>)E)X4AWAxYsoc&G6!0M4ewR6%eE<=CPXqP|9I5*gUlmps~Fo_`kiu0NuyWF zW9Gqor59XSrr3#C!Gl$)j!ZYza(L9e&%$CNWs?{>Z7UQq!|pc1al%`vH`%j#9p($F z(!>ch3zea9Cf&V_KUq9ebp`@huGgieO51h%>W-4Ax)wnvS8iuR20?JAu^RQGNfs~Ay@0AALN1d;ti#SAM zt<0SnDcgb=l+q%orFRR%L8k!J!|#QdME{B1=-I5w)%CQ|kNt3|s8Gom)82Zj6&0K} zW3`xPL>oTQXL6rJuDODp{s=V*x+DR-X7u_M+rhd+$4jbd#c^Dp_QF`-SMo8%nnfhw z;h`TXy-eZ&*`zN+m{Ng&B|0WSpdyCks}KML8&)lGdRQQq%w{z@ru(I37m^N)M|&zi z9A$V?Ja-m>=%VAIoDsgzztEh2a171PCRW?pAjg%YOd>7;YCZ}0{2 zLV_;*4!l3#0CfE{M;ATESKGIgSgzZ7GXhR|Y@Uv*TPW}*?P@7pUK_uAV4Qk5D!7qp zGo~TH0hL+Z3!VU;#F)saCjvdIqf~*>uUfn;C(yE+ze?;<@A8VTsq5smcfB1l8Qz=U z&VsEBk8tkcp7CXM2-)A6EBSb1KvdCtu24FubNjn| zg#^_7yuFbis_7BdJfBQ^Ba%a+l=VXS4reJUG3iZ4V#A|exw4NW4!Ce-Puj@U#)B;N zk$pQFKai`oow0F?CG=QDMn?6z8~MhjDChK&dmi-IHQ7tfa{u6T*)ncD-XOB>kgRfo z!%qCNllk?}>Kf%T-+EKvG9VJc_!4Z~MxI(2;s0J6JUi9;|KYY!Ng{YFt#q9ladedO z-$PGd%F`#4;2h|5F65=FPDS6O z-2}GC$4c~oPg`Sb{&jd6>NPqTu!aqP{~`{FD)a!$2LoUCL-pcSiO;fWCglMQF6w`RR-C(BOo563niL~QzE_UA=!wlLEpQ*Y`>r;=Hq`s}% zjTIlN6TYyAj`+@3+B~}1Ufba=-5O)>OjQJWA9i56FFH3IYvptG_zc7cIkg==Y-I^^_e{arxYpS0WG6ZabG}S;z>5yoFhf6GL*cXa zjRRfXk!E6&wSw}0cRqNAsro*PU9m{C&l(Zv=ULiod~}#TU!Asn2namnsDNW>jO6si z5|JSYnD(RrnRs8{7jaqjX(X{uBSoh-KtEegvqPo6O@-Sf>FSK@t6RIyan@IyfvLIP zAw>63v{?y~*SmuBnd(!qmiNSWg0~Kmb3YwF@?r|Vd57@b1 zO$8(JR087%nwM?WQHy^La`o5s+0dUrklj7M}{fpLV2>@(T!zSDhY6U)U=miceITb9e_fjQ;I{HL39L4G$nB1 zeSdoi1&GN7s$xNA&;p}&50r2x4WLlI;tGnP5Mn<+5XEB~KWfH61Jn%xuhgs51$|bL z-42%n&&4Y`=M$m%_KW(ASHFE558J)bi)Fxxt_g+*v||g#-_$u)J(BlIG%EE!G%T`(>_} z#5{)jBO)@%LnY?pck|*xM!g$rJho#zW}Pyc!!1TQ7gP{SKgVOpJu2Id*2e#4n<0vX zZy;`F^6QL|a|AjhnUY<;T%B;tap4dN#s%6D+CI+Ky(5e>U9B8_4cL3@VGWWG!l-G< z!8Mkr$(Ki5c#XRllO;M&%EwN?>AUiKrA-jL_XdMfJUl!RVfb?{8Nu6$k$>0%i2tn& z0s1J=HZEXHc*^!@VYdyjgD-#Qsg}$+SwpKz=dNez8cArW-xJlHMr8uRw(0BCZ0m-k zL+a~>I)_b^>bJd@zsha`Z6_zXhY-2!PP{VkzK~AM4jiqz<(zGgxG*s6j5LtRH)~L* z?j9|M8lP?PAd4Cugz|ILC&E>>9yADDw#Jc^GXx~s5gNLo)1-z=dU4W06nLMgZJ01s z3WmeW+k|H8$eh8S+40^7X0P|;e#-pY42T~$W)vUff-KMqT9i|?|TfjF%YdhKeLYLQ=x ztD)@AAp*!dQW5iS!~}DVy^*>Np1AB#8PfCQ683~jlUwN@3H#|2^+IcCZJ*^TeSx=K z;jrbcf&;zRL=$24%K7KNHn%?cf!oFujqeYQa6Yh#J5V|-_&+XgjsL*?q?8eixpYrd z(qR;+$)KX(*F)8L7P@B!Y!uF~36~X`_++x0eUEp3Qexu}(NPajwEZdAQ@W1-lHk1Z z)hUhNvq5k4yXg@CM(i=bL@P!h24~LE}3nO?i8^W z+1C#*dJp@m zSs@^_v_#}bAyY;LZ%TsnAT=EI>ciScCuC$nlYYMIZtYIbK-LF}|EGL8=tOo>sHu_Q zyz1kCbM%s>)-NFelw@Jlwn0HytXF}$9^J9DDiXj@uu&+-E=(9aW%5!wB7vL&iF`aP z@ytw+Tp4q2K%3<)ZM`PdyFQpI5J4X*JNg}*sSCx}Byxg|1P?b9%fiUen zXx+-VYI2&d0`4Iqx{MK9QsSOt|wo5 z0Dka_LS}XVU%gGm6^~sHxnXmVB_xaSZ>COYcY+UhH&h_<8z`fsHy(gw6|cO9XATGx z#=Yq*jFeX^w#?S=pXus{Hxcz2p;RbF7PvVmthg5U($UBboD~35%I%z#$<=g?tEDPQ zlllI7)n#@2*%0-GO|7#u3Yjx%7R|y0B6#l_dAr}5{%8G{^GfID`9)mwy-!I;CLw41 zllAHQrV1Kxna~SzCDML$`|bO4z#8}6c~iw|^5^qr7hmkdwhmkaSP4 z<4?Oxs`j5hYjS|;JtQ~RU%LF;ALin-Z|$-{o*WP-P}HlZ6b!YoKtBFPa)@`ccIb^;@^`mk zE`_!n4F7-Zy=7RH?bbF5A|V}0cOxKO(jc9J(w*Xznsg(LNH@~0C?PrN?h?>RBi)U3 z?2Biucdh4L@3)Wr9pBzR_g~@m;J)s0jd6}T&*)hXr_^Z0>#!Hl$bIDCaczfU?xNDs z%OV?#tdV2y{S#5z3R$1`S0}&nti9h~yDi3sQgv01$&F<0GWp!r>U>|p5V4%2B;m}YjFNC2?n~$G)taJ3EX^OR~ z`O*Y@pYRl2M+G~{s3n1r4aqst!mzr^dNb|oSr!~zc_VIffAebBrvqx6kbBV+ox*$$~G1mR2wuZRX6JpGyE zT}Fd5p0V#4(%T7}4{@to%bQjld78C0xsQW#<;rBf-yn#3vCG2kFn&~f5qq9sOZ1d3 zzid>N7SSjcG1?d?n+k5p}~}X;8w96sZ*o3DIVBk2g^=fyP_|OY? zjcJK0G%Q1M0G^}&ao-VfuK@`5)81Nd+zV$xe ztK2WFWnB;|476E7m7L@LHoN|1C(VwPMEltXgJuUjqT%!&BG#79%Ari@=9%M9_3Nvv z?q#Xbg&HkFO`)}Fgy$B2x(&}BOZ?GuQP0=06uFdF5t%c2I8Ryo zU_c8VeZz*O+>*-jmrMv|=!jyfFV-g$?>EdpFrqtn&R0KuVC&<1+Q#Ot$~O2@Y15|Y zqQs^_v6Q8va3yV=>rGKBkM%R7ZtD`QythMy?%%agPpBS;==y$=Ih=|Xa*B#b@7_r* z;&kb!QO>Bxs9by3HKVDOW7U+&Y+OJx@9sq?rh7qcG@`X zp#HMAF;2VmcuoD~%dr$DdU%Q(o3!sup+Eqr;U>IRs5R^A7w34_a!v^?CR(pHo9O}S zT<9~LHR0ZFumWuiEXNw3YXscKk1eJfwR;*F&<)J1?EOH$({^UkO0#N6`ygdkUGZK`me@1+4~fKW(Kt8W=YuYnGndxY@rIpTx=1=|QL{s~vCb#*nc9^Mqg)~IubVIr~UO)i4IvlP%-s0zWC`u4&n;&EyP#fsc6u>bv7)2Fo;P` zK}Qs(s(B-106je-qHNZ0R2gj3f}#x1(l4CY^*^0sdA}OBH0$mr?l;Aq&uU0o>itRg z<*bZzw5&*2?4e@oM%{0W7AU|f(`bGQT_0SIfqeC&y;kr4_CfQEhi-)8VlkeN>S&E6 z3f;0HR~z01CQKg*Y`4$;j?;esGXJZ*&*i8T z58*8=elza$&7>_r`=f|z%|O`}7 zD!3u!yURe*W12;O4VaD~m1-l;ONV>f*E@&lZ_h;n&W!j3&oONe%J?sLh$kTIMx~-Y zi`-&YRuoTP`)L_n&J!PBDzX_klVT8dhilMxmosDXRz0{Wc#mDjjP>WyIr44Db1al> z<$|>oymAD6x4o|JZ!Km&&q~Tq#x03Ci^co3nWG!_VPqG3jRZoSt(@KO%ZRtk{ENp_ zEiPsClmcC*h2a!5R^1h zkre=(hln`A^fn08CK>^fjS?swS1ozds3|o9^IK2a<==1kk>i6~tDOAFVA;d-JJ)`C zjq#D<$H;S?SV33_Jlv6qYax~5?GK{|HSYXy3h_-C6Dtn6PE8oP*Lis@YWMY*AN5#4;8k-Wfk4Ux-Qlt<$Kf*IJ88X)$isg+pp@ZQq#a0H+D5UD(yWCqlE4Zb6iX;kS{g(&1#tR%3G5J0GW&I5%3H z@0LE8XA9%R)tTNH=CXU;3AG$FtIpf?Tmz4w+NpD_351f5%q$o$ALLE-CNlch% zMf$B?uUKk1&vERV)bi)xGI+V^%9mnZu*|jW(Y^arl4+6HT>4Z+OL(3B@#ceKWp#W< zF>dsQuTueve3{aJo;Mx#ZzPTpXC-tCp*vZ1(@7*aA0Lq+(PQW2tS?ekk^LdVkqd{a zaPj=6AQ$q%=6XcA2^Xn*?1Y!)caiFBWxoi<6{NPcII`V;nDy>`di@c}dXF#(tM|BniTr$+q5*om6bTSpZZdK*D)k|y)1 z?xP!vt8Q2Irk@+1WzGDhXJK)4>$XcVVt<&;^hF$(cttLCBEf(b1HGWfb```Xu!gC= z%%?RHdoA#jf%%k8ecgUSaJ;=L6?IF6Qckbfx`C3J;m71=#p#`GnNkL*B$7w-L*GBJ zkAzuD!ilRajvu1euZ!W>yB2!HZf+zE+w5nWp<)s%&to7!6lP_5G=~)nrd8!Y!TS}i zfw{Wp{@Gd}fyEFLXsL1^fAGBWykUUJQUv>m_mzO%HsXCJ!^xn15^ZXGASCib)BPqZ z7J|tUffmkZyfAohl(cR!^bEe%W*+@Z_H4KkkJCxG9ch?uRvgi(AYE$G{)$0CsGE-Y zockInI!|sNnOQ5B>jP1l$w?(3EF%txW*v-UTRy(Xgxu{!g`UnlW`MgJ10|-9+G67! z2l7>p#-h8aTB7z0%Zfy?dl?Pc`aPxYg^m~^&I=vAZ_#F37~$X78dbI|j4Vb@1t~qV zg-9ndgDUdQ%(n6e&=M{I`5h>F^ZYlUzs3LWeGt+|yx2wA?~4>E*QxU0K|n4`9SG@a zm*z?KE@l|K9=}N2f8`u7qD}j;8!foR+7XRq9X}^P7wDz(Ol*Qt95}BaX5hLIp7^o^ z(89`DJ$QnZ)geWq?ODpj7AFs826&HaU^(zlL>xkD#6*!~ZBDar2yAtwgZx9+B4fI+ z3~0ZHaem7b^knLNQKV7iza{uR!i z0Ht4+-z752DOCWz%!lRoR~SpB*KRb{QR%X}%cF6%^PU4S5W6>e>}+he6y=dQs4Q4! zHQL_d7pDHU#K37gM;bMfhp6I59UFg!Ki;?eBr`I5xLlO2bLe^33l=Qjkd-d&X*v%$ zy(4hBvwEw2%f>$J!S#fo;9c>~u?`SOcQ0OfZID0%C+|33WeBH_if{IPr?2qmf#0&t3A6Hc5;jvkVtx@+EfZ09tOH%Du)z?Cw$nkD_3pEB+Ldc z{ExqkVPqOvgp@nX$=%2_^)@mn+fS_x?nPW*9RJ?)I$GRo*blCCGuqTF$<@5FK})a1 zz<5DoOugyJM4rOBX|^CLAcD8(#4xwWbfD3K%xql2FkQ24C3ee&ot_sX-3H`k?Brck zEhU#ej=YvqSuSXIUmf}cA4DFI!4(Wf4!#ksy$`iK)s5Z56UX{(^h!O))x};t(bRXPIanp;)&zMF7hOx} z!XO6Pk(;boifPW+8tTJNvVfsM7~xt)N$>|9=&s-UzwgTaYn40urWINbG+V!Aznb6J zd?6j3|Kv$KjdVzgf=jBTH#SqxdcVsn%nO+mmVp)qCrt5E=$mjdYYSW89 zu{v@a)FSp>c?`l9HelV>>U|b^Liq_T1oYFz%1*-qPfPBnX{CiX=hjpO%B<@?;($%p ztb+EsLpM8*!36=ZnJ#klcB0rcfW9& zPtrW%Lg!K-V%Q<(adb&%(i(dlkrx`hJicmdHm0x1dHPe}@Vb)Y_YXNrz6)jAW55|G zP;z54&$TzZ{!6ht`L9`?zb1O@=oN7C38NF*PlNYq#C1l=l6P5WUV5%ZQ3w+{tqpSJ zi!pIn>lf@M1_1QzdpxATthbW|Mn}7|az}j%!>L%&z`80@m7j_J=cSV;*Mib!LtGE> zMZ&`(RB>a)UK|BV{4unys9R=P!cZ=H%I!FhcIE@9 zPZ=xVj2GET_xrGt=r6qx$t~-W?OF=8_kFQ#Jwts*fvoKF>!(y?ZQ2B~XW7NMCyiI> z*RfwjQa#V+)QjdT0TJAzG=9?H&jht5zU~ib<#S1(fXyJGGtK5|)xiBlKox~+HCO|@ z;rP4T|F2#r2|+*V-1kh#L(!`9f z!{*&(pReN-84Str?L0Vm642?HXncXv;9osC4zy+Eoc6L8vubccT+X`z+*K+M6fI;O@D;`rm_7)Dw%6GMFhTPsLdn1e$FlR%Lv_#^sJHC#z> z&UYUYU4_dJF`@3KbRjDy!bCN_Fh5?~5 zutWZFMEs^LKiD)=$OjV@`}+N^ux}63fSBaIuMa5w%OtR9@o3K7gZVstL?+;z>4Th_|Fn} zo^bUZSRW2hv!|vNM8}JZx}fJvd8S~Vk}p8NLwg;FlP8zu@aoGY+hrr~r2AI< zxtT~^7;e*~@68|Wyt1bAr3kAagg>Oi6}>r&^goF?y5k+`5JwglKk?gguS#*U)u1X< z4Sbtgqg8J#g5ptzTG0Omi&^d*2~~>?$mfmu1X^!LV3KVi2A}zg}yfi z!W+e5-o0b{X3`>TcKq@9O@PD3InAb4`avA^hnL*2B>B~iG(r0C*jrRUvv1Y!-vJS@ zn{~I;DHF!pGY5oU*Ol#VQIzHHI27C~eU_J4>Lg<*w< ziyqzjv3kS;q`ZcHnS@OH2?p`v@T!)+<1b1{@MB-RDkj#J)=o3c`DRS) zo@fw%!oWDXVSPst+R=k;-bKX9CG3FBs7xAKvui97n;RT+Rb$Yb$Xb+|{4pp2J8NaO zSdWNL^wrvi$NX1a9%+M@#a;)26fWpneB_0qmSYy-)@aSQTM%+#&&Q6L?jE-aCwPH( zeOno$pX0^X1}~BDaw@D4kvuWEL>XA?qvU{Ko!g(4o(=a2)SH9}jT6 z((WP+FfK8m-{i_n0e^W<_Ft4t!0`L3F%jg%9bX*t8TAAHLJ}OH-&9n;+RMjil*sFA zxjMFZ@|C(m1{z6E7My8DUsadg23XszQomf+?gYH=Up zk2O3ji0R?{_Ve%d#_OP2XQSJZ5#($-<*hN+uYx`+YjRnMoLeSe8B`}2xm-W>ZfdP_ zU`BbOzlPYf0qXr_YbA|7vp;KY`v;0M{PT1S>bxlzZqEsxzV;zi`?(h$OV@%QeEpqy zeT;bkW28IH>^Y69GTGz6smim(%|g1DHBto1Sri}hdZJUy(;Y~f!?>I+&eE)z(vD2L zg`AVx>m`HJJ(M_a*>L{aO}U(p-B=qP0h0(MOToK&S98v_q1rQ~9+j&iq5&|yHx)~N z?hZ|J2>noOom1_}A*fxZ)A@$En^7qOVp6Em(pmjw+E>cdlK9VK*>Q%mn zoVg6Dkn0++=NVP_)1Sh*(me=+X_Yumbnmexe{7Cg$tqjn+FL5gL|;%N15&uL-raD@Jv)B7YHWhj-N6 z=%3jXy6g{Dv1q_5R?7Rwf9_h|KRfcf|9DeLY^|)wL2YiQ8+{+pJ7DJlzQq+{ByDWq8 zZc*5PmDn~*{3>*QrO7KzFGHquJ~7 z(7)a1tU*E0_M_AA4cUx5SfPB#SyuH;#V)iOi+`12edrf#I1ZxPa_ZK{m-d=cK}}hT zEq9r=!fPKJuwoav@6Wk)mLCc@)qvT<^b(5a&UH(YBWFQDd@j_@<|1m)$mi0TA|4;H zxt-ROD}N)nB!Ey#`}7EZN#w}rU@C5O<6Mwj$OUum3R|Y&?e347Kq{-j>F6*tYgJZN zVk#*$8jp3sWP>{9T~pJS8&k(VufEI@a@--qtS}Kh&OVFBnk;)eQu&_e9A2)!!anJy zgLUJClB1XIBJ8__w%sJ$G{|%#4@4dxe7n3<5}ElfwD&9q=WNapK~11I@VC&d&gmk) zcgq$k`Smic2)zo;rM?E{aHe>4cs!DNi7OGW$E6F`d08ApvP}WI;&cIMWxsb6{e;n8 zMez96RL#7vnvCe*LrO|a*Sg|8$AB`7_#aXz`ampbD1&A;E@2T}j+|1_o@Y2(7Ka-> zl-og&DQnXgtK)jQa5lyLCfr^=l3kDWZs_ zWOcu1Qb!zQwS~mbnA!%aco^E=d5rz_LC^ZCOS)g@rbny&es~)j*658V2j<|xQ1d9v z$$I&ZjHt{XtY#+qpT)xJ(ThE`;RH;imQnC=vRlCV!wFXpRgkA{8xm+|8F>+|l)yw7 zs!A?dn;e=w7Qg!=N0Zv>ib9bLru8{;1G__m0q$I~4lAQ-D|UxA>*2qn$7pcb4gr)k z#=4s`6olil6?KQLNAuNA!iCD2VRnYkv+c9?&`z_0rM=E*wlwIMa+hO%=alvwCDpS) zZ`)-)W^IHPWo`v^M|K11XRvXD|F`CZs>61N-GRuJG~mVqisvi?;r9|93Q!ee&)3uL z94)tdGqr##>L8FNMX)h|6{-<#$+-E)ZlAY1(AZ32@DL*-V9~JxNp*IJqwmCQ`TE^8 zv}9zBZ|h~3kLVg7Ic(q zHjHp1PmdI?(sRt6aEV^_#yt?+yN1F z&}sC4>PQSeeCqLdFMc+cRL5d(r#t-c#We?bb~n) zMc?@Jlkjj@3L8sn?nJ;`Ly_?n7#A@3%4C!&8Gn5@DU5+o@}VYroEqKLjgFQu7cJKx zA0IuyS+T?)osqggUTNo9L+djW@5|}Aj51_GYT7v)giiG<90i z-Aj zqvAKcjDnXPrrd8=qB9MSSEj}M3vvS;|&Azr$MZ59qW?XYvSw+p)AHKBA4aC>-)&V5(ZI(L(5 zVD8Xv!kiv8t553X?!M#ou%0gFdIULjrs;kCc3-s)g3Xf+JvWAE_ZJ|tZTew~!U(G% zpdF2;b}BY7v965LPs$cKt~==;Eh)lEDNwL(EUyoDQSpr`S1SRl76a z=&Q~)oOun6Jdn<{T(wXLNt^op)Js1EJ1ua^vNQ40M0^%;>%$z;L>WS3?WN_Z;q`YO zimCT4HS44+q+X@3OQ-epYLyZW35fRbVXg|RgkzP~#NqM(s13YBgO+7mLQ6zv zntE;#2c(mW^w!St9>*!wNSE8((3ZqzyO#)A#&f4KKz^0R)8Kq`8;~O7BYv7EH+=X% z4@4Mp%vscQvZ8k)X|ys@l%4gYXoWPgIh-K~M&Mh>Ll!c%D2!w!Qu%OV&@u4J!CLTI z>FaxI{Tfqz6bn)%2?sCx_ng;ceSA1L(UWr7<^h)wZU1NBzhi4nu#>#Za`U*Pl2$84 z-ksiyfpjv+-3(18eePi2jW2e{meg{s4?z}w)?P{#(-MvFH4Cp)31x7zQm2K1Rq2YX zZWG0AdR_erITk|TnrP6F4?Ed#4BeLg-DCW|Tvu>6l{0t<6S-^L{0{LVRhzO`X^&+f z_Iq;P#kcNPh?KQ983V)9xvN~7zrHO{cTlD?Ya9N2N&1T_7s=Nz`#rD=4s~ZK5IgdgIb{tprpASwhQgTgt z%?Ho5inM&Xdsz3!UWf4Qrlrl=;v$}pIuXX0c?wrK_IBmfd6;rjl@;fsgNBh3@>VAx^F^(C{zUaOMWZa${j_LwM--NUr9qZnYMr*9x*wnUoKO z0aijzM{}Ib=T9!`gTEC~ulvHfBl%S<0gHL|jhXyw1lZcN1ewV$T8a4LmBS4p@+ShO zSs4YY*gw41?qyDsB^I6&ad@STq_y9d0pIltrcgw9;6c#py81azLpY>fF{!o23 z024RSF_4R!%gO~rS1Y^o5;w{#I_8!H%l<}mOPsv0iiUbIgTkZ>wu?Wt3r>C2kZtU^ z3iBoNwds|FcSL2K^tQ{qrMT~GG`TI8>bk~O3tz#`m&ghrXTp}Tz?$&?ZB1PWUx!|> z8CLS$#T6BJK-oW(i#!T!Y#WS+IAV|4`Z2--PrSuYE&-%i^n-)6wGuu?9()SJ&*l^ouca+s+ zZaELRsvX^m;cx9C4^c_q&7PEeB+nqv0$uPLdU`8ipUulbmQ-%j9oo%V7HW9C^Y(gQ zbrXt`4DzEecj!<&gbM+pgr@{2|H%X_=oy<@JGDLM@rqu0p!4xc8ZZdn|GQW7gtEVZ zi@*qHL$gGeo+KFer!&FJmq9cM{&xf;_OC7oD=1-t=i&^+bM}%Ag5O`Ko&(VhTrI4J z&l!tbOes{6R>4#LEOP-T;`>J@;vs-IY#R7@KJH)c+6>`W z5^Yi`cu?&BKjw)4JZ83Mebv{lZl|`B>0Vy*sW*m_lNl{izQV|&p+l}+LjkRB03RJ3 zgrT&1vVHA%lMO5hgR?+C=62mM^S0-}j|SfT@mitu^W4b2`xrM*GVt1oC0c1j|04>p z6kqh*ga184x(8U_D=VD{TAyg#%$pz+_4SW+i@BCUo^!l&Av;OJV%2AL1ZYOoDE2P@;#WtSe>@3o!%s5Sm_OH~CUsx`hk?`1kNO$#Av6=F$q632FKTe0g&!!k2n zG@SIKyTxtBD*9oJc=gYBR<@pMLYxE8_5ba4uB=(e*Fz8V9cRL*vwMc5hAh0~m zEV+m#Zr?k|OntMtxjBsG55u!L{Wc}=r~!2_YA%#P8DS}ODC$c1Ad(3#A|jHDIBx7} zFER4}ffrx{)ui$RpOiN|PJ10|xH>Tql)*@9r(nY}QvutMPgB7M+zoXQUxcgS<{|r# zNr4N~eTRXav<5%a9Z%>`M+Y4#r;p_s%1QEnj}QMxPISptm-#oDwme-Y9IU0SUhTKI zQOK;6lr_h3G@nb|kJjl{m~~(ORt>$A8vc-&uT@Atx0kO^iQC*947UESQY~)U&SCIq4W-LwCu>U?MROuVm+J%%jN~3 zL_AhuF1Iew&I1QTM{k$}WPq~oUOVEH^&*!}*UamKZ~w5E_Yyr1{|K~D0$={0z!#(- z0api=a*Y8;N~y;yq^{r)O3Gioit!Hv&%y|i%4;51IR60v+|&af#UoJHAP$0S8l%C# z{ca$M{b(9erV!7lvI2OwlK{_>LMpdqzQba>1`xe=Q(GEL7aGTVw-#~{8IxVtmq-G6 z^ytyFQ1RmIQ{C_RgwFgVVYiRiEBq1?VU`OLI3KV1#6>Uq(kxu)hb&n}qpy9?3;_ zTp*Jfy$23;IO1NNtN<lo5|$eli>L;G3A z^5k&jLcSR_O%Dm0e`d+2sQfW3a;)qDwh!l&1(NdT9Xhb=3P0gN1{1ti6Sb?He3P9p zH1;|P)ST%l^2s}?9iFhqp`eWr*0dm<{__=6hQE6uT@HXh9znAndDCzHUr9TFP9V{t zJVfv3upEwuOdhW2eQnoxDfxgFc<2>9%+_g*&awNfIdoNlcm>PKv4Jh&p@{+mD)If& z4jx3?$fMwCl+E731GGY*=P|OI+O6?2>8(_X%l`Zv9%LsrB&#&0ikjp~n4mv&l_a9+uHzua?+aRCgB z6(?Ii2b#=vSt{W=uJ!JROS7ChApx9IMEt0;`tC3}>N{%060L7f?OSeYSReb_S5|`U zgRPI-(&~6lta)j|XO57Cc*sn3Yybj1<>GlraNX@E3Gxm{^q!xYk}-bMKL)JbjFH5@ zHBMEo#*6M_S|#tpJa@#=)>+ROQ3mvRFj_ih?+1g$yBIRLN-E}_z>wD<1kXtn^ zN89!lWfC5SbJBx(oArTticEC@8 zU<1>w^vn=B?ZwbooQ1eJRBx|LS4}MB1Klrj*sm{L6i3}9RGYtL=ep;1pZ|`=%sx-{ zbEp=Nfg~IKQuI98(FYP26sON;?(-PfgI+$?B^s#hcv(wdF&B$Q<(i5{%e)DRz-iIV zCj-rgK`6F{HQpCp$zu(0gwO821mA?mU$3*n1@o1@cmDt%H|Q?}j!q3P{pOb?a*lg> z=ce!|7E*=85_T%5!D!tDbfT+lJ*SfBFno3C^Lh$mb*bd@>!SgVX=k67Di>Q?wcfiBXsRim2WD zQ_S>oF_g-pH--lKOV_%u4V7vqDOv1fRGQmnjGlrxDmh0ww0_Ego_|18h#9dxk_2?n zUppy@Uqnqg4Hj3rOO|teiYoYABXR<)Dj5uS)}Ik3Ii!4)sQQRvMdYU9J|c+@*tusp z`l`uyc~@5?%0H)t;VKZSb&i?&p&oML_Bf=sAMzo3BlVHi4Afqc2K5{v<38)m+YHu^>M4eG@)rvXZ^2{tkY;z(wSsV{4+ShK zg;zSMEQ|&^6ilc8>#H8?KQlX%+TQA_O+WdCW)9R9y#arNnQs3fSi@aBB-!wn;uSWy ze&?*}D9lcWN~Nh{Q_buHu@E0m9Oo6iGfEphcoH~pMw9#WCN?7m(jn)~uBmx9$pTAi zq>6>)f#7mXt)lYZqG$37Y3u?Z|7Zj=8Fm*81MD>4F3sZ#~^9imo~Z#t%5`1;_?b zfx0_8NW8&VNvd(e|rIz@*$T*nU z%-pyZ1hGCO91-d~x#%QRD(}%?q}ngqWqa+dMoyS9M`Q6N5X%78HIX$fSw1&ch0w_< zr=g?O1%xG2rXPflIp`*E8w7+6xCX=n*-6VeLptoOOe?;VMIo(q(p`U(+X-mo7JXD_ zCM(1*8XR=Yn_jz8dk;DPUDs3^n&T@6MSyHWkl@!-{#d6x#O_D9j}{y?{2!c~@}Ud2S*lu44{WU7eA_Zc!Qv%y|It0q|cx7#!cBP?=3 zbue+WoMa28Q>I}9l4ygn<~aN_Jdvye;)kDn=Fm_Fq#hxykQRk;%X3K_H665LK*9RC zuy9=;;zRNn1hzdwyC6={~P?p(*1? z60_Pl*G~rSi@|%MdljLiMekLA%p+c9n4-XbHF_M+#!Ilrr?|MzI`#;G#aBnje51#n z=MrHXiBsaPOc;c1SMdymuo)u{i0(QCAy`}ZVIJq zDVx%~y?iL9y!f55y#8;{lTk}k?(}1m)g(n|G{XIE-6|gTvs`pyGL}gDz4kR{zou+J zIf}e4P^P`urrGav8dz`;GvE7+gpI)R0G! z2O=CusgwAxgxORLuok`MNnpf`T*H4kW+o>fjv}XO~Y2P+l?hY7UqW z7?-ZphOgQSW>wtR!TzhOqKw+`7rgjqu2)zJp^z0>qDVlzub6?u8~A$;@tasewT^ok^8uD{ zD3xy=9eiwTY<7@~4lX$A-+?-48^({#>u+G*$5OexcaK?tp3_li4_d@^p!R&K=%>{` zT|~xjit=k`+`u_kl93bo=SK5R)mdK73ze)5`?TYVf(}}Uvl-xDVzdkE^6~2#J{prq z%~y_hBM&iE@*2wYA#yc0Za->oH(!lEkh+wjj&~b$K<^o7KAgOh5Yxb(633U!(!g%N zpnCRc(YyP91;hT2&IyD=6C0)?7r-^#&)#LhPmD^+neBwEJxA~8x>^McXz<~(NdTl2 zCJSvNP%Z{@9$6R-1KtZqv&7v zZF5t9Zcs8z5=~A%jT0toaOxIAM2NFw;epB-s(z1{SHIQHLz#Zu6N17n(9Tf~BIowS z&Y!V0pj-!D)3eR$pMN$s_PdE}JZO(Ny4<#}W0*>C*-CEP@!Bz_9vQ7zVJX6^yw1R$ z-1=GKG?1TY^S`{Qf6EZ=FRH%bS(x?zUdWt{gZNK9-jVL+R>mgXn5rzIV<4X8;S4G# z7WZvT_uTp%b^d%Yh+r1b7sBOV>_rMva|yja0n~?t*sQ;K)vfF}SwmB0*m_p-)zP?5 zRm_v7{cew`c8Qf;Iti`Foksy-fLuQw%EKi)Fp)FtXVo1^A^a;=0l|+Z7NPUe2y$C* zN&xx;3UjLo$2!Cn%*CO~o+koyD*XQyAp;S2n(s??<9xfd{c#Kt2C#c7b?gTkvk3Dh z9w#jc(K=F+7giUlBo_eatO8IvEL!{^H|4vskse7GRs#weQ*qz$*dr%Wum1N6lBXE1 z16$0dIjUa`8&sQbJ(B?03GQe8+UAMRn()N!0;S~o%M9`6)5gl9T|E8lci%_oE(v_J zic~3JfFpS>GipPjpQe(q!-Xe(eWmiR(EG&YnZ`n2-t5+p@I9)`{AU$#0%gPjB&YSB?3q-+!DhYd_es<}=66hsR6Nznjhfn*v zAlV4YQ>YV%=7Ida+azwvVUW}Olr)sYAq-(-qL ze3#q@3KeN7&v2q|Wq{U-#%A2M#o%P$_gAQ^b_o6t`U;V9&bH*D_?@Rxx74t`dToC= z`@JqKD11YTmB?>9U8kvzibJ^*Ca1a8+1B54`?RwQZI;vBI%o?B2^e0O^>IoWNm)tM zy|nrZOGQ?eWhj4l(Z}{OEhw=W-5ly0R_7VhqdM%Lc4dPwsn$T4Ue^@A34LAj0i^QdG>QO|xL z7jPSg$xymjb%_5-N+^#~gHd-6ylCk$iaT1L_*t{%>+!qIo}N!- znU9Z&yKd}Mx$OE4ZzO~*9->Nn`?lV$uRrE~_8?jRs?SopDzS!waUe)R$u-=d#M?$` zbACDMK_A~ZGC*#u_Mp22dz}&rGLE`UZ4#m9x^E{o=;6O8=*@cuXIlFBd}`VCMO_^S zV>xcG3Qp>)Thg`h%*+b68lS{*Tb9uC;AZ9`nSHa~z`Yz8FS6>(4^5Vb58G&b)^OVV zwfxLhTNGB~_K(cuL2tDue4Z5t^G?I%&R#N8=%(x@ChRsVcNMA#tzm*!;aK|!N6+;P zPpb}+j9YDqnA|)4clDMftf6B zMNjg$7lF;AXy4D%s-&YSFS`}6-kPb+tE_SnIvuc+n zfck+@OhYxft7YRbyt;ssEg7hTDEVlitlP6+V_!!6-ScXwdq|aEt;Qiz$oc6NF#NDUGs&NcC*gXVB(Prhzbq;qGp|F zsiIfswhc)Zd!B5hmdv=0@P}l@uH$E*e~JUYRM&_SyA<4pMpj+Ce_kz0^se-wj;U z-aAjiS4fe*=68}SXeo@#hFRuRZ_lpwR)@!HSa$U%rVW$CrN+{bY$7UDI^K9*Yy?LC z+_NC@zC-#l*`RoFWUZ9?9aZsgNm7r?J=7qOlOd}Yr?mCR+wTd|>Ttiwk$(G`{8J=%c607L(;axL*aAcu{g2g@Y{bcrk! z_8?^Y1`I;V0KWRDs<;z#aDptNkmetgE`EQnJ1Nk|6vtwZ8v00Z?)~@_6YE5A7)RSFc{A3prJ#MxIog1X(4&MQSVy2wQeX`PK0HJmFx#5$z)66$6zMjow=D7S6IM?( zsOLw$2$c8#*umc3*7`6Ya@8BqK)JaJ5hDudWcDA4h0!%nX;L>{r5Tu;Bqr1iu^go8 z9TG6I#XolmOohbb7Y;lX5ayKTFI}J(zdgt(ysAA)3faCz3|#4dTb)0vyWZc<o{F z!&ZQF>i((j7q=wHW|44io*1SYqYiZY5B@_Xsb&b72X>Clq|@Y z`1(UuxXJcpS}SWtaaV6QUvc$PqluI!mU5y|zjTjX%grxFP3+U%8~+LH5XP)+s2oy+aCaGU@-g$tLx!bn~XG zAiw?3%5g$@WetH-w={T641H^P@?69YH0AYasRzG%>^GfRfQ2(V4@REsJ=i)W3{;Ni zZXvif+rPd!Elg%gyracg{L_xXAt;3r5BAkSR#<xh}dDE>1y+kHNvU$!ZNLG`da|VDi|QnqEH6 z;R+J=MCXIJ&6%*WB$ZnddCu?0(@UAQM;A8bcLfr02+4cqv zil#*T*Y1)%=t(g&*U}pN*ns{f^XhL7~7?# zs}!G7uqrV+Mw-@RV+v7$o0gdlDPDTAfQ||~``+MpX^zt|4KNLbP5 z*nfFke_Z-~N$(ckssy-%G4^-2uDi|lK@YC`)U2QRB#v?=cuBe5ZJhan2eT;(x#?^h z@6BjEin*7v_|m%O#>ayyL(dmqvH81>*w(*_UbEh?fU~NxJUT&SuEdI+ zDL%ST3~KG9Ro`eZH;H2Dg~UsTiR^2#%3CdfH%_(Ap+=vCOf5oPXy7;Q5SSZBTll}f zD9YYxHM;PN}rJ8qEbQ^X9I5WR+p#ewMLOAWKPH>^G(iDJZIgOKtfZgxJ0cHf@XsQ!}|TJw(()x zprJ}>96n*n&5vd@slvb`<0HNQl}baFSr?u;@vSUp(HR4ITEeWNjWsJ7d@J&WWRP56 zV+)-ql7vvI;S%MnKYdxu%^O@M{x|h#Qj@sNO7wB;Xp|=ShJK1c!n*KtwMw&uLVUQ3 zxS2GAWcpsvXKEH>sLHip&LoJ6Ru*}VKzP(q*iRh6$8sDqCC0CF(r+`$CYQ+dNAZ0+ z&Gq>{eSfFM=~Oj}PhPu2Fj3gB!eNbHr6bkOFU4I&0B-=#T9(J{4hf68xZEw#r)QAO zQ~L0rTVhvKxcL-Z_0x@?32bM~l}UKSj!#Fp(;`C2`J4{0x9O+$d*s(|96cGGC%gkw z_6M={_)buUAkt>?MW`0B*U>_Jr^}KqT>zD9Sebe3JmBQME*neyjei1=!Zaw?)w2MR zSbzqx=hyxXu?W!foL+1mUIF7p%4>Ue4|Wq;=#jAIJKu%UXqvky5i=g$T}mVOYNTyh zPFY`Ex7;F<5#Al2qPb*G`?Iml#zq;#`G5z>D?s$DrJ%!YY+fOe!@8K;lK*L#=!X)g zVT(4NatjMub)^m}RjHsm0}a3p)RmQiJ}53G-A`UFva!W))ZA}q0&@wsEwQ}iHATr= zQcFlQx8YXynVO*U=KAaaaAK{r49jZ?KLEiZ0kmAyBs3^$=Jm(8n~IRsAd=@ol0otx z8YSmn_hWS=E-=fKE~aKo2=HVyA{8^O)?_*DCZLIl$2DCEar9iO0?H^c<1zda#pz7> z*(Uo8`o(UV`WG$GS(<>B4y0rZwqvv;q<4)&+g zHbBc~+PjEs}bx^2k%iUsUYYDm)f8S3IyA%~f!WvZrxn-zD+Sx1U zxH=yv^Z9IldKH2(e2M#`XRuU5>}7{ zy}~?g#XwF7*I}O!^DFj&S#A|$*paMYg{LN)z=bOkAtpo_A(HOXHXNoZu$VA6>1hEH zP$OTo$W<3bXsk!y=`t8Fg%#%%LCOq2x<=)Hw4Rkrd3(o>zNfHmKj~)NS8c&pZ*@QP zD1rdA6-y<|^1A(e3bIHT9l0@taZ)8fpxLj(5$cV@ICzJeLpU~P4l!}`Rt&AN+6i8+p|$yzFLK6iMf;$*NsSIzN$xOXfF)+FAX;Unm_%{ z;hb_Cpe4{!3Qo}Nt@1|Ag^Nm_vERO~5n+0{frKzaGWd4X$FN7LP1CaED;JxD(z88} z{797h8)i4@o%~MI0nkCy6(WOkvyP$5TxcaDdP0E*RtvZ}y&EXZM8Q`-Y;$b&0IBEC z4MB|pBBzSi5S|r63g{MpaPLfxcJAIsRjgc+G1*vk+&TQnF6U=ocy<#Rm%nk>=hO=a zIgBtWQBcri&dCt~GrJLtq8&id`zys$ZbWPREpm>C`vNo+x}c$WxXFM3Og`$f5sG?^ zLOp9)`qDSlC=P;t?z;(#yrT(;zXlyNZZ+bFK3Q=?`}bnnausw+P&PbryqI7%>jy?( z={x&PI=OMlO*T`IoNmJ?&e;!GnTu)~?d^;y_rKn=FQM>kd!~}X;TG^vA~;d2;eG0W zxWFjS-INVYs#jUxo~tX&=ui|8wOw?7etl&1;DMzt>0|8?vAZzLR}2JhKbL1<*CR;` z;dn3b`a^G$3jF-g=O`GMD*Wux*_QOqK%+~E``!($&#;dZ6Bb3P$lB;KvuNtK(Igh< zFPC16-JehDFpj0`uBY30OqZuHguj(x7rc(o@2N1IAFV3iI<4=aJ^26i=p{QmBiw>Iz=DL zW=40DF|!&zhe^V3mNp~(U6Oi}z)+l>KiKUO4Z*~vCxu~GJL7nA2dGkyYE^{`y=hVY zB0n4-Bg|YBKG3dVR~XnXI4}?cwf`rP0O)v9EKMg05re4PjA0%cmpxHp;$*T*%*eE| zceKcDwF$z{Z3LtXGo1{bN=BY{I)L3gXY&|vd~ZKSXb}-aS|od(DN2RPMkevtL>=#8 zc2*UOZjd44%H)oJy6CYL^p8eb=)3RMS+*-91nO1yZ`pQU_Yy`{c>Q^v4EQs2&I%dF zbS~Neu}#PRGpjjW9I+zOn=^(jhTwV0Pc4qfY%5vlEN^;GiB<4(MTf7`OY}lDD?78p zMDcvRX_QCm+KawXV);y85=2*bJ{}}_LI3m(U3}Y>j=gBTU+^S@8GRACd zo4j5|uu?ISh1oe`+}h*uaKTi*OC0^mN|)XkWOs=@M*7~7DCr}2-*NIyF!Y}?WQeA{ z6nrbH37?%d)!KXsh8XR7nuj8hju533esOdDCLN#e7O2rTb`p19p5zz1CnlD3C3q}< z2rveG!yRx-E%vwrTG;uKDJ!2*=7c~wIPKu=9z_0w4h~QU@Bf5(m&k~krO41JYcKb` z-bsOUvdfg>+?+vkGT;=B!^op?2CYh1C`7AFb;|987MZtIH`Z6B*;DXTNr`_(lSwxz znmrgf!1*am@;)-8;%8j%$)#AHeTph091h+qt$yFjuv?gcGbpK^6^7!d@=+ZKXmoV zQ_C#)WEmLQVz|{>pO^1;JWg16-;mFZQu(CY}BqP~Q3C^RYY) z1zXFprI@w=GeS3`oC_Z3YT`1j~#pc}D|uzm(&GH8-`6GxThGd+FIiQra25a;>3 zo3rP*Ws zIypHjyBZ{Nj9ll46y8lOE(Wm z{ys=O|IW>;V@uqiWX^u3Nq<2E0Z@yDlR zMhm~uj52UUk|stCNXe#CEH`2nzRgU`8YeqFLKRLws5B2KTwSorP+Z%N;xP19cvm8+ z;>gjGn;etG_PpOSKHzIttW)>Rj1I|-OpRWe64!++>aNu+ov}PSZ-enH z7p#>Evw^LW7e~xmKX%2B=I1Ut&M*RAz9Rp$V@5qkMO83!Hrg`u<)G?LSgG{7kFX9B zo=L~R0BUzd-Lv`kSCoj#6V16F#prg>Us<&DyALDmyxX3eh*N+G|V><-Xdtcqx;K$F56+%o=+n8rNf*bE8p9) z$07@P$DyW<(9Y~JOEdpmLN|C+=*hv`BR9>KxH5Ki1>-7yCqbq4He zyl{P9J?`PqyqJ$xo`7=+eWxDdLIE-t|9yzC{WTJ&j>F@I;;bUcJTj zrmYFESx}L-urwi^UM7`TiajpIruK?;1+99g=$}Z(2-UoPy|GHAh!|OU6Dhf@40BIK z6OMdNEppUrXlGPA5uDYqksbbg?N*Mf9oCs=LO!%u@9d2xj*QS=-_aW3t(%Nv2#ZIn zU##V`GHklP*}U-~Z!8_YWJiY|2)<^PO2V;uro9lii9kfRjQQodVgY&dB@9c6WVYFAsm@A_9!gt45XA1<(fDH4TYOjTeT)aV-lX;GnJ5HX>8qu~Onx357W%ZwKo?-+l3FSY}y#Qag;u(`g7 z#2$g_C$hl@OQ->Vnpk1E)-ae0VvVDMaqU2k~RVAF%`)X{K+0z7(Ci1A4X_o3sd_r$R z-AfLUJH#X*$n$FuO2Y6nocY8^)KP;_hw&jLOse@AmgZ_#8k#-Fke?o9?V3ro6Idmf z^S`?hd}nNp-6ES=%O8|` z`;LNZ`K1|N7w6W>j5qi(9Fsq^I?lI6!iUr}WPw%MJm8(huMA{&;;`3#kIOZ54&aP& z>%`mUqnY(y*~GbkY+rHS!Fbc#*ig~~4zQ}q^XDf08M0#uj?ONFxoRvfVDRsR&2DE5 zBjg(Y#BxX1A#%cfx0@5zbyvf*%?S3>s`HtbZh)BIiqUupH{kTnYOD-cL_mRqL|L_6 zI-N3fv8|la6me~S%y?s&A+Iql={SH+Nt2FJhhBaGM|mH9BVh4PD9V6}4S@4G+6}{TFuuzo;KUlLj51`8P#?O|3$9 z@(911eijLX-_5PZz$M}Yo4z43J#rA3sFOaaF#dYuAL58$E)K=XjH0MI2&et2k6 zzyKv2FMS1!SYpt^4<*qvhmCyIela%-m(`r?dEiYG4FVlHa$^bIgj(56$4T0|j@2r% zY+~p;N!s4{)wj8q3pt;QA8lt}+nGDP#<>)KZKvt<-F(fv#Z^b|)1RI2BeMqWL@uw` zt|Qr|e3-mOK}12~*ywY<)T)MLS7N$%I9ykoK`!OO(zV@%rtn7*M6}Xvw>8w`?Rx~I z!$i+t-RUK_u4-6_jt!=M_r`{1?o(F^nd|IZMmaE2o4AYxOl9JGMNgofeYWhnRjRxf z6*O+59zLk$Na5^gV2SbIeBmB+g9qL%+pMpMV$~uovFyIF0=E!Ft_M~0{|2(G0?0(< zDvM2w^OLoL+f5V9T@sHGR=??lAw1>|QNQV<7eOzab=Edj_b$3a%^E&G7GLW5?UBwS zc=u6eN%r@jR~zqXCtajMc%ebT2E;zGOF$ccg!Y7B?bndthEFS3p zOd|e^nij1X(%{&QR0otwu?X)|aC}F~NuL>VA!Ix&yD5rIrzG+hDorH6V;iOK@$0W&;rHIg$ebfMj>Bqzlg7hBWU&^V&W>f$b1ru;+e3P$VDpp~Vd!_R}?)ts`0Lx=5 zKXYA}T%mD3{6 zHf!0%HmNwIHYtC;SMV_Q?@APvj%HgnSbU-+*4?M155si(YQis0W96DVA^Ph5&njfi zV6I1K43kc)9}=w?tFY8E8_rMExo^JEINR1$elYDdJ#=$Dnhoe~;*G*Z)P-_+=J&^~ z;~NeLBFkb{IG1V!N+frgS>~MEyQUy4C`1%OWGhBKw=8Pdin#1!wF3Dl1f|s`!gT9x zgawoNBP(-%g`}z{W96y&l=X3N`9iT0_aW`}4ti9Xy}=nqP4&*LP5$+|k`1C0YzKv> znCmwl3_vES9=V64=zIV~AaLh)tmf+hs=n^fLTXZtg@H{xAXDxoC8aPKNuOt=Hhm6* z$}1$%bZRscB3s`>_kND?tSwwnxyg3Cd#*voeRsXBJZIqio0#1&KA1`RcYX7LCUZJQ zPdK71E+dD9sZmgBEi%CTj%;V?V=wRj|KnG*JsOI4`=LND-Uug}x~wWC%K{~Ru|tUnVj zU#T-6yQCj$b1o$Bd2EL`t+p$uF4h`G=rAjbp7;(To=dY;eX7Q1CX?M`8E?BiG%g>@ zqAg!eX0@=xq9Yr-S}@t4)QMQ8yQ4oWma8`;$*f_;e4Aw`!YQ?;oqVgdK#}1{>D;t) zn02MZvi-)=Kp|pnnP$Mbr-No+7_Fznw z&Osa*KIYO$JM4o13V2|0f%85XwaR|Xii(Q34_t{pcO4&dX;r;SgJ>aDU4K@8jkI7L zSBPnD?<{*38exIhEuuyGA8~JdBSShp^M&eEn0Etnt_fek(VlO#dPK_!!jmuGPl2Zz z$UdG)(>lfq&-M+OO#Mzc&)VLZPm-vzc5CL!uk{=I?}nm(r^pm4l~3n*-i^)Uo9Ps% z8JKvd49bnWe%BiYUUL|XW4Gwu$&JIx!gd}(S+kt`Txu%OTmV6`Iy)bGX0smWcV27Y zZ8=e-)A1rjAyC`RYyAilp%u^P1f<(vY>$3M6PPsl z^OU^WW*_^MA$znF-*)ZJAWBK!#%ywy#%y565LrC>(yR}j&u!x^4Czi5g>+l1_MMOv zNXvFxxVGh(szo28D&y|xc`9<2eFSn@5=I4E;Ou$oMxugMus8)NXnK54mP z;+9O?;&kQ~?leg#KM@R3Tt5MfBIC#_L0CPKCEF*;3t$osT*HtwnN5!m_u&)I7-i1J z_A+lq7@Swv+? zFs&0#DI0yM_PZ6`c-Mn;YH%hdz_C`jQZmVk1E}AE1P~mN8mJ=bnHQRUP*ABCzdc74 zhtngf+z}`66#s#iiW~_$eansbD3un1nAw(KB&n`n@ZAP=O`u-^;}i#5#sE(s`c!&! z_#LBCl^6+LkNGaH-Y)ti>cJ{g%w#tKS<);`^=InZ<2M4GDU zMR=ZV#+UZiLX-5o!g1>^ZYM@%q<)?^v3`Eh{#M=u-pCm`ASattCQi%%8Sa^4=QQl+ z>tEXE&QU1{<+k!H6+W09FA>Kwf9HPc=YHINhf`$l8Kpyc?8k6Hy`bBy^z?Eu{rtBh zi8HxBXUfa>5!2hZ^E7H|ck{=1YrX1HaXXlFo`mo!VS0d$*5veXo9!MA$`Y2=JvgUb zR`lo&Gn)zi16q@zg1ImO1?!h%Poo?%#?y73bD-s+wAa3doQwkJ3pYyOsPR)L4BBbrpVhUk zd|h%zNNRcEZaiYl^iFJcAC|78)8Z#(93zlQj-BzZX&zr=Z5lU|bg1h+bXM;=?Y_HG zxzB@a{o*4Q$2B1Jz^;)KS#j!+rzU~#Yrw3cDR+wnp`vo* z4)Z1qA;x{1NxMz9_=O~8;?>CJ){B_f)==^q@yW-NFC@HR_Oa~xQ$)5A3L~byJTfe_ zh#>wq1%b4q;FlSsDLiAK4h=0Tg<;jt>))y(%McXsr!L6-Bsb%c*90a~fQOKS*B9d} zI)Phj7R{yWp2c9Y^5vl}Rcf&sppmI#;=Yp1RoenZ3y8IY)l%EkALLAoZap&VuR=oA z&ddciVoE8B)yrgL1-`$=;89wwr^OGJ`EVbCg(t&F+mY}=14K!h^`-j-=e5N9;B$!1 z2GUX_N>LOmPe8&l*MSV(qxB6O@*kF-0UOkZ4UWoJM1QTJIcJcNT@7vevM{%$Lw$;q zHcyTxeReTV#BOgPHE@ZRdHm`&D})|YHM5d{!5~h5brz@OljcKgUfBEFu~GCiS@;pm zYPm17>yw>ITx<9zK|_kxTdzzcMoZ>(L`qYw$S}7tHn;IeKg!|12)dIqHhGgNcF zzxEgRqizn8F~pOPoTbmSok?%#;);E)EHV^nmhxk))KvM7^k$9o)~3u8e2$_-a}o_{ zsu$`R2{8u#&`4sHT3aH;=ZfPhEeqe9@Z)Cb38J4X)oYJA%f*406sW(?7(qkwIt z10xR{t)J>j=Ifp0`ZDJN>SW~k{6V;B@)_oEp*}#ocY^JKGtnVcB~co(CshbFY2Qd| z`1&a=7r>KOy5b>P_dy;CeENP>fWg<((VNs%fUx;7IwqaC3qW1hBTYWUvRgq!Y&IDs z0`LYJ9B>4Vnxp6Eqm^PL@Y!hT4tbN~wbF;9I0e zBgi-7^)~q_cG_0RiVA!LrYC*4f?|B4!#Z(AC+%kL_Oq5aISPR?8k*;^lQ85-Ph}>2 zfvSJr-xDA%`W@AHUN2uw4RLSL#1)gw7$LA@Jrgs@UQA%AfMVV=r3J412ZcMExTTkgEnBBVFK_rP9Tsa z1?tNQkAq3UFXU`CpN~LCUNh|Bqi>kmAW}NY@l`}7ERt5b+Qx1PjWM}x)uCiB&d*Xs zv7fX7DltWaR0>!g7H4g`^SJ|%IWu|S-gNfq*~fXbNae|N+7-ho@LuPtpWafNdhml( zkU#P82XT(ZmR^pNq&+F9!=~IWJX~hqex2WcR4KcqS1Gf{lH1WIP07>}92WuZJ=ykI z7dHfw)YK10=*mjfT$ue47O9#1OIe*+iO(UFLh5X_Kg3N@FgWSug^UNKb8>BBSX7Xq zTs?Y9p$R&Vll`HvURA*MS1w<#V_QSo zXcCVso8y&2MzjXOrYJWA)rBw)c$e>5$$lG`|7krDFEwui|2a{dIKEHw)s zDEc2$&~eT&Dd4!Nc!9lT=#SDe#~aATLl-65f7NS^P-;ka~7F zUuzCCidHJbcIG=d>_M^fuwek@;>1ki!fQenLikaWL9Y|Rs{;*=6GPy_IM0ZpkbR-Z zyE$k1OXSPw z)b*H-%T;reonxqMFJ-S~Nv_1~^aPGK z^z{%;>gk?yr8JLYft7C`qInx*=etTf+6@Elft`Mj8nhJ7^V*U32`&8=-uvLg<;4@r zVcVsgmm2ngjXb^9-&(BC_>p^dcyg|CvM0E=HprIXh?z}EY)8chEvi~SRc zjOo4szmU0!FQWU8OGzz!FE@lV&y(+8_PLd(S64mZG;U?Bb^pYOMpzW=rLYMfh>`yo zaw#oYKIl99lW*WAS;ZFUq8UScJ~lrBe7RKp!|rwZxR@*0bX}M1XdyEWGgE0zWPxq9j%n){kDiKY-dJlKa~h{N)? z4{XYp?PyakZ7rEN!Ed#x)Et+roi7m;iAG!8WMJ*9j$@UT z9p!Y)#V;vC__dd-TA`|)FTxk?<-vb{iiZXP&M1RFz3+2kz~dC$MXo5?BZd#nOF#KfhkpB+3FV*tt4 zDbisRuzl+Y{-%{_!G!2H9?TQuEu_7gy$%NBdZ!ymOzIb!``7!ftTg%`Mp)6wZH$#K zL`dMw*>Fb|**gj=N_`Hkag+GxmCZlRrW+rk}wd<*o8Ixy;7uiX! z*wo{Z$jgLwgp!9EIV$un-@UOW@&$R9MFBT2MS$zOii*m_lqCsfuslCy8&n!sG7aa- zR#B5>Hc(9o%x?M+JhBbRtCPN5Lnc60&NseQa3r#w;r z&gpJ%d>*1&Zu9dAmCJ6ovvDSGx`jH3xYpsM6AHk8m-W#}FRoCJmW#?wuczQu!C;~2 zQ-8c8=-h5HKH)%l!-u{PyYZQJ5(&j|tOE|;d1yBXkUCfzYK6-*p~+K_-uhF2V>3pT zvYSZV{ynm;A02INF?(x#9YMGA<^%36%8dO?>@R+PCkL9Dq{@GBUtqgAy4)QzfcNPg z&8(DrG4<#fY%KlkOXCSr(-fLm7L7RaxV{rRJwVE#j&?MFJrQ%YyFtsSTw>XO z>XRaFdlPO1=J{Y6cT+k>3<35<+QZ-wQW*Ar(?L#7j`OcMfCNuXa&)pAI(O+(Te+~? zu&Okos_8fP3|>ETa*&?X^}Zo^=W9 zGS+(FJ6~eb2|c{5;ah9i%L7{Nj5Nn#E$bYc7cbI<_eYF?rtn=yt{S045-dy=Cp|mo z{f0#xM88fOgwMT6aeFimSTLUl!+P%tKJIdOen>N-5@mlsl#mPM@cmsB4Oi9$gY)!R zkZQq{8X4aj8`v7Tyg3db6`#h%u-@`pKfe}VkXpYEX=`>!yx3*m>9DYolUv0l6|sJ! zTId-|Vb>gqNKtvF^%)03@RrsjL9Y%E>86qr?Jc6^b zTl0HRX|b^ZAnpqB+>o5v+j(YMV_&9gE$j0GUJ`J={~CkjWf?JE7rSmk#k z&|kQg5Q&5a=$`@iX8G^huHws`@jpb4(EiobhA?1Ne!n;5J)kpHn>beWhH%3I#D-IV zl~35=iGB=6ud!hYkkkb#zQo)hkWz2`MSM4N&wS4H!g+L^6p zos(|>Tl^~g>I=LB+dIUpOib;OZWXm#h?>nPV8Yes0bH9P!iL|a&wtK5qVUuq0gAgJ zQOcLEQ{OL2CRt8Aq+QBL5~`H-5vhf!p7r#3<8`XoQ)An!-Zr+5p60b4=GJ0hQHMkV zK8F-=lW@{_MI$c26f>Z`n|-Ymhen{?Xdhw}4jySYB@%YM^_?S)jc+C}n0&=?WG3YY z3N?OQ;g_4skOF9>64gmB3*5Q|6K-|Z!0FJ28vDla()Y>0t54q!IbIr1Q<9D3JnuJY z{iz5)m}Hk7T20NgD@E*_vanl3S4&D{q&`B7^Mse%$9(jJnN5_GQXl;69(K^G@%#wU z`>gW$-AObqDW@v<^A;L=yg}CbZfNkk$n55L7Woi?OBgBzF1w3i87AK)kaW5gmQ&0E zq-2bH7CIGi$yO_5)7@nCYVb8mjQO3_jZDQ8I?4xt2WPb9!)dw44b^Ar1#|yvfUejl zqYDhw9UK$?AXQx301VOJ3CRB9S zfAox^UK;1zOVmn=KYqP)Lr_ku#I*_2Wqm~>^VDT;VeDAKcsatR?1L-;8O3b+3m>UA z9%r&#UIZ{&)_aB$=R%c9T)!R**4PB|3YZ#6vqxp3rYkLDZD1aAfxUP1UNx}J`8}Z3 zi$U57G@pV&xWj@U2LI=ab2kmobrF{eR{6=EZ~PXCuO~W3E7XRqwHZCofHh+E!Eb3be! zIwV2*kcKAw144=jM`3bgYrh1xK%8Ak<(*~<#z^t7hk2n@9Km?RR;zemT8ecE0WWRH2CikT@+!)9XM}sv-Hg*Kr7#eApXWqydwNsbQ2Ofag(h6tVLS{q| z*e#cgwLY=BNgk5iXQ^y&^#Ci(0#^8i7Xb*OhBVV8<3F+8s+GP&c+0~!G=j|7#H4!E zS4JF?wq7KBX?UR3@e?kk@c2fK z|NUes;rl+V?L@MDVr{A$ce@kL^8l34sZ#D5-&XPsHE6Z3Esy$P`qDQr`H__Gxkko@ zy=+S6%w$qdYLm?2b)hFYEqJ9Iud+^w8A~m;ofaA>q@bqCLS^F>9Z8`UnHtmHf>q{> z-8za9z-1qd6pRX+I*KRB9~7d`WkO@%|NPC45=wjSG5gD5n%-Ucym=$df{-x$(ebAk z7LA@r?GyyR?f1ug16V3o4rD0ya~tt}hk?j%F7Ed1yGVhwbv_65?9sHO3&$ z@weUQKtsEB`r`V7(uI+(cc!owwS3LK?&TM+jW=PY52uuB^hcoc1{@ zY}7~Z=b;K?rQf;A_6SxYco7m#k4TvoZMU{Cgg{wy z8Bh`G@H=d(pyUra(d#qM9P%CbFD|cgZVgW8VgT#pKRJK<#a2G8sW*D);0Sb(;HTOC z4!|NWa=$(uEovu=80CwwAk^cv-}rp8X)n);p~5tNbTbX0Z(M;~ZOl{2I)?Rjcf|3D zH?xwh;mOPFnnjP%u+%S*LP22P*+&L6l`B)+lr$xDH$@YMT1%e6%Cz_sWLu-8$L&Ki zvr;zO8*pmBD(}`%oA?VD9`<^j&tX>pE!KeU=yKYqD|%A&gd9uIw(7E9BQwVh{!cEE z49QhH2|A=h6D{u?Mr!7hb|3XGe!oMfwG-=5>cGL}20Yh)2E9fQ*Vbw^6k=X1%zRRB5av@ezRsOB3Hv9zE#mC za!KD+zGQ;>o+wYq)qyBYzg=2vK}E|rDPCGeT~3~~%MGNyq7?fafmkpS#sA)K9{7T6tYOgy)v(Jg{82+hEx1{#8$pLgvy@3zb1asWH*)DjG238v8+Tpt9*ElDLZR(u zl_*=RCQL}k6Pu@OeK8DOR?$#qq_H8#iEl%*%qOIWZ)B3^t|YJ~8dQ;pLG1v1V{ z>l5v3DB3p8JT7lbH!4p6c3dRg&ck|f*=1*CX+Fi?qOE)n z3z&`ScMdWohRN9D<+ieFVNtb@U7~^Dq^47TSuxX@N7U#?n`=14k|*uQ+|hTH7!Zw$ zWAj|adlS!`qEbCq-zI;D!Xqq@=7Q_{Xov3I9;#OC_Qifi3C_}s2$Q^c`S7U&8FYu( z$$Jw$dr>B2tDk`@90AK`kdu)fCbep=8Bleqf*x*f+yJ>6?PGTD8uO>y(X0_=xZ;K< zFh`P#;&$hEDFC7B))y&?)ckx2N)*fUG@xDCVlSr@v4O!_M7i@yJCS~x0i z>_%itC6?F?6mps?1PucB14Mz4Olw$TrB}2?(8l`i2fKM`ANKk~71skY>f60G_eETl z;(ePJ$O0T>hxq}C;y0zZ%;jG+=xD5a;ujZeOf>LNr`MidL1;@@i)k?CRT4fI$p2@P zZcOEC^%yp{HRj2zZOx5=xy*#+!#1u>nqvN#OOIoUjZ58+cEScr2E;?5P5QKb9CP!E zFweS+^Al@z(g1ADsw(lQy^V1cvI)Wy_j*>}+&ovcP;W94CWY`L;5Jw!%NC^qQe$h` zWiX9n0{?v!pfCwJcN45{A~@%C1Y4yLcK0(=Nyw_K&|Zdf@uUJaLlZ~glOlDHTL-jh zGg!Tgl_y4c5v7L&L{3mY>DocDseP-J63-^)quznuHi0F*oKOodX@nx0*@U}~1DwL> zt&U;HwM~tTvD>K&{#la?06ip#tDcq4h_pZFznP>(HvYb0=$6{R_cJPq@6R$O7a0a3 z16WW6QOPzn?3`$BAUn?9$O-lud(D-f3FtX$7RUX6VyHOzK_#eBD#Vp}=e;1aBgY+N z3#oz@aC_^`KNgj6T>=Nm3wPM54+8m~uIA~kKQ3FMA#>+;L8LT%cV( z;f=X&hFJ`p!j%Q?ha|$#hStU;z_;yw*N*?n{-|gH2qCa0qb~if2js=3 zO0Q&J0(0*dq)5!117PV^EiwkO?N-`&uq(3^ldI`da8)A!uu>f@2{Pqg9az43UJMx9?ynIEC;W8;H8n~G+p=O#Z#)5Lx>^*Kb7Sn8 zxgPwB%bsZLj$_xFW`cVqvAlJ?1keb-q%OPk%Q7M{@J618CR#!&=WTuc@yG?QgeJlx zT!0sEtczT|ZGut*>0i>(%?`~e&G z&q>535VC+#<*gHm*?syePegd1>`F${YN!uRt(w-=_>h2_QRX_;`k*Y zqp&Xbn&tH1iS~>tlanmF_m{6y`LtC|xpq>}!;*t7b5zoy6Q}DB$1-wiN+k{wK~v2%x{&PhV=| z2`mOylCAU;plzFnMLxXAMnluUis$#hr^x6Xw-C2CsTGg;r~4LtjT_ULOjwC6mQ^S{ zH$_3G_2oA1&kbHD`04ol_&fN-;rvUC1E*;gAa&|*SN89(m;cqul6@zq9U0LHrB7IQ zbON5;$We31O%qJ=>{lgQW8fGs?`t&OW0_#D`xzy4)!Sn@p~au{>Kz~PeYlUooUd|R z%q&B*Hc)$%(Q*v2ZlL9Yll>}pZ@WYMQ1Wromr?!{JAillQNC?SGphMvr>U^8T0= z1@@^xR#e!%EZ4>;i3)-X7kY7cVI8EL%q5N>}bfD`qx6Z0l4!&0b32wjgO7Om8 zT1%2~?}B&)G$dm2=jf8ZymbGIt%&LrC&I`eWekLO7ZO_XY9|EJ;<|@>oL~yo;sp4e zoNgKt5VMKycm;dO9J-}7JxTIj0s%qSs%HN0TOogUXAPYIbw$DO$ttr;^T)i-KRAZ} zV@4Aq-p}9gt!jkOwK}d$B3^>}3zm6j3)2T}Q~Dm2EY^!y)34xv{i4up=DO?eaL%atiV0^(YM0GJ(g(8z`7@5;M=MSq=;30Vj|biV24V3{P$12_W@ zF&T6srGXQA9Anz6#%*;wMMMjW3<%Zw;|>4yYgBG{fDOnjrWpWS+13Ag32#j+A=H4D zAKhat7VG@oEgY%yXiuv%1pN~gg~e!JF|c%O;KyekR|DUizihtWzEeT8Q}C7NcO$F+ zHD2&rz5M+b%z85}C}?6Qr&k;H3w`$pMY|D#&+G(t5CK*{Kou_W*|PM%PZa&F;?|P@ z>0WY#!!w|sxc&czj{aIt%*QEv40Hav*fuPF*)f5Sj00{t{s`;;`(8jl-EWHU4?sZ2 zms?U9h(8V8|1gOCQ*W*FunPpd{rdXR=??cR-B(NFNYRg?mA(<$bq{=GUGUFM-XOM( z>Nah;ad< z1ORP^*ZG6^oLK7oCXlAU@}J-5ZLIH(^G(1`1>!8!FZU1dk?(-Tu|;Rb{q^ZU$H!eY zq(pm?d;jIAfwJ?j@cUm#sgl-5gQl!p=!GBq+=_NA1s}Nva8?5_R={8KN7>QFvyo7s zUoVyBx~j$GwHb@BqvZU_f_f#$8G896BMPV{scM4%&A)kMm)dcKaiso>F=|`+^CUgL z=~1*s{FP^1zerj%)F|Fh_}AOY!{AnRCnoC&$T3vg@FT1R+Zu%_dU!#qyTIBBAu`L6 zRXk?B?`8EN&FP2C?fJ3uUs%g>NA@F&#NSdud4Bm!wU>|hF`{m{8xdpnX5Dhyw{|{j zwiYYlTFOFJWPD|e!dHkqYjKs7F2^FG%5R>^R|OQ;{s z;l%fO1UEiSH;UiyQDI8Ef*1ibNHe~|$^w2D~z|Iqf#!9b#r_JOE z+~&f|v|tkw6!h#es~4J)*rC9xA@k&F_-3+a=M`8779=4c4M&x?;S>gz=%OHDgn|xn z??@>=l2T3q67x&a+T{W`9?3#JQ7nX{+S3(*0Ex`w-f#d%Aaa6iBrwX$=wGWcjEmQG zyUC{rP>FpEKS+=w_OrL_(Vk@xcQ;jJ4w}KR$|2I)MzLMEGjgZxR2v)=MSO1`wi?m* zJO8fqq9FM*DM+#)@#D$2r{d#@=5V*}yPy(!Zd2* zrgFjxLuGkJ6O=M0<b=w7{tWxHP1>7-W_q@UN-7M_0&7)c3Mq(5MRktNDxn_*#6>z~`t;J45m%{G{+lo+3MdEa4VvvsJ^ ze|F(kxJ>HQoV)naV1=@U>TGUl6fbRe^VZU+m^!Df1Mh^-IBPgKAW8p9NIn6CWP4LN zM9R6Be*i7T3z)i9f~Mk&RdLTDTmy+2uvhpK(mDhO(~^y-%dWj1@c)Q@BFj+xtK7W4 z%uzKV&c+RPcGGqI$i#-|U6+>ieXB2&yVMa70v3iI$c9DU z!%poRMZJNp6n=XRGn(GkbZZO_i=Ff&@33Z3Qt*ou2=vJY9i_~C9U!+QQURa+;zl~8 z?y%oeVf!-CTSRhR8VRJ#|C)#W&WCMTwcINmvGTP z-yz)g@Y5sfHFGc{z6PKGb*LQQcwAA1Z}J)Nv#t}hDoH(y9|>MP|y2P)qqH| z%U{r)e^jdN14518u+G35j{Ojl94uN9Ce`<^K6m})#Wlxv$uwPlXLR& z77(w8b*CRP%mf4)uB#&&vm&p4DekgjHTkEO23zbeQis?CD9ZVZWv;c2 zpKhEJ5A!OWJ8s%B$4~bn7z64JULZq5#4C8@Roz1;jfHi0oC?Ai(f5M>{Qp<~`4cf; zN~TZ#u;PvKNurvo-}+#xjI%lV#erL&2aF7xUG3y z^n$2vc?xm$;PSO@o_*8Q7ryiG;%`;swf}PA{4I~>QZ~VhZ)<0_&#y>fV1_?3bu)@A zPG&tIfzJ2#i<^li!69PY*IGk9Cg$62K8tl&-nR^ofx_oOJ#0zvKTGwG!L;u7_{jsr z;5%^4z_+~+Um4^Ei1+)-I4h+ovPC1I#Z}fq7kqE)Rw&vpzJYX^-(p1(sLT+bB=pMNh68}=|K-OE z6mtp&Yad7}b%u3Jfl+RU?jO{}*l!ULuB^uM|oJe-GFy%D(RQt8N2Fe>)I$-Mf@k&@$AsZh5w8t|Cmo z8A)H9KKEX$L}P%=?ey27ovble?L|>tc$R8EwWQE|aVE zV`SgW{>$Nh^j{BmSXT4<4S7R=K{fl6H3~N2?Gpp^W5zNptv8A;lorz94F2_(qB|21 z1h(8>V1hmON)X2|M?X%Ssgd<=6`oD!c`U;3(_C*o0SO|;~VW|2R?fC}C}6`MGVBqro>hc)FCL^wFmF(ds}iX5nb3A{wbYz`)E9`lqE!e)&IH z(|^&&E9gNdbV;bbn?+XbivZ4r;c5Izg-EInpp5}ADVSM1bKWuh^>$ad+WKhzyzl~kK4Tb>n zQt9x?``LoVzl3cF)AAZ zo@iJ_I^qB`N*DHjI-YMYA-+?wP+{l<)7i$^lU$Z-7^;kV`vP{x%-Il#s``n^@t*Gw zAY(HcXLR{`99tmk;hVPHFrG0*wa8#0RPvSQ&FcqtU)&jq4jC)$dNcb$eC7c*yUa&kv-cu99b}VWQ6#f>SlkgdR3u08fzIo^zS|@-Jn;9%c%{BS{o{K9A|K98)lzdsb6k z)p05&(uVqpDp6d)Hc`NjK%PT*62J}{kl?B_9J|eVi%)>IBh}e{_H#bg}p*r`6_sz52^GM zkYGT=s`8*u3~~!@62ASJi9IqKEK_m+LIRm6s5{1A42`dp5`ytKspM+0bAPyU8ytaN^cDO!*65e zDy2uNY6RFba*Ij`2(mxcE5^2s&bR0`kCBds)SixF+{nSOMXnLJcIVoequ+s8SEYQd z9Lzgyjo9*DX=9Kx@XXE=M5G|^zqgVfcAJ{bG;>WlAg9aR0ij6PNY5^w>IZ^-wur#* zwDphs6jL3Ay9N(w<*LO6yxAYHrP_x2g-n;)Gq1nUmvS@`*2w6vUE3CZ8_fcT7-4*tnoY%+vN2 z?`^kd;`|u69`MZmoD!M1Es8Npay|ov{9nECU!D(@Qg;-|Ko_`zi42S>>+{A3rUD^_ zm#TQMkMs)Bmf!#>)UM_Ii{tMu5gPzgV?R~@jk$rLia%`l(j`QDbl;*0=YXeFgT!*( za2D3f7lTsx^ji)OCyuymJ(x@*X7Zcw!Y%g=Kp03H#642D%WzaW^+6tQ30;yE?gcWH z(~p41V>Pivkca*P>zv|tfKb=PjB+WtScA{<1rM0KNpzAN7k)`7vMaQ2lB3u3v`t0snDW9X-v` z2EQ+z#Jq-q=*!KsbK+Ti!^b|CYOy_nBZ~uI8F%L*H&Aw)@;?x3y5Z}{)g(x^vJ*=_ zVwkc$1T9gWGWE}SIzc^G>yt5ed|chRN8}P8N_4FB4eAnGyXO*n9C_ScNwg7jOysM) zR!dun5FY%x!s7xpa{*daIa{q+?hZN?OWV(}Ub|KSr(23gK%vC!G+Gf0l&{Ey+o$;5 zBtOA=*Ter8*l_V}gc(LoRiPX^GA2b0)4G=7DhKv@$5$1(OrI7PQ9Xgcyuq`ubf^Q&n{iQ2V8V-?BKI9v^Se3f6Wwp%LLUr<4fFOLtKt7bvE&FCRp$roffFHqN zm+7G+J5_?;&5yATn$8l>C|g1v$UTVTy~C;FdiJnCkn2nq{wu`qE1;yY3JCN$aW!2@ zbW&5o>-XuJ=MnT@Cd~KO#TMJE3D0rJ(bHFJ}FY|^z#$gw4DN9g0vR;7Yp1+}z zFnpC2b-D@CJ*yId`AGv11fls~E_( z=_22r-uxga>{Ryk_*hjiV8)VC$hqKG!Jr%h;g%-(03(zVo0@OKcP|J($e%@b?_&3U z@$*p%Wu-sJfb;91_sL}g0-KJ?d;j#*O^?NwEQriRak(w*H1pMt0XliDJy$6&RWqxo4y^ZUy(S!ncXm)c~1% ztz5w_#0;whIZsvHSn^{Bh}k`9wUxxj#m^6aPoTu%>Nqnsbt-u?45#B`tM^w8UU-Xa zW~Mwhsq^%(_yY;#%VsEbxgibIDHPGjgs0sZ7d0FIDCjJFIzZRR@gECoP@92OYR2xe zf3!r=8~B}RmA1I^0r04<>}!AOZR+m@Z}hJ-rDxfx*Kvq2RK}(lH1@9kV((A=Bhi=i zc9CB#v&7nkjR#3J$c}?{#grv%kGGil!({l=BF;w3%3v74)G?wOgt7vTBIlX2azgeO zv#v$F3oho+09F#o%^bo2rL4BIdqJUotjr4jJpLyDI=iwLi%TTYg-X%1H+zI_{rF*g z#{E_&;v-8oDw*2tW?mUd`69~eO2dm?FwLxlb1^*X;ni9~9_$q30b1n#h+>v%e5hzU zqYZIFQ^<`%StbV>0=zA5?Rf^V^I$8?_**;GlPD+5MW&C!F$qo1*_m^H#g@6(`$p!0 za*t`H5rSjA_;}cO*^_-^c{WXrq&H+qzA*KR_jk5Bth|7)rc@m4Z-9#a`iv((A<7;| zvB;?zWVlOKGhy_=$Lz`YzW)3edg(hDKX-7yZSYEYA&NM(`;n@Wl4}ONI2j6JwPQG$ zGRuFfYyAF!VXbm4slD+RjS@cH8VuDpRJj(^;leo;WHX&na#2kbJ4tm2FN zj7mVPyTyjdWUMp|>__zbvy%h;j3jQEUNe>f?F-G+`>QNyoed@uVn6xJ|Lxba~#}fBwk?LNQr%hF>;36)4qb7ESHyHT3fs4N`pu!n9+v_gDobi zUIxUEw-oU~#L`bX^&c1`Tzo$16hKsaIP}4vAIP#r9BJ&e(aRx0nfw$l@+K@&TvSZV zgiQnRf7sFgdR64ng0Z~g_tCn|zh0E@C1I>*+a(IM>8I^|VSafBfS+jxRud21RxDO|3{C z{$ahKdJ-IJe+n|@XEk}zEriv;^aGJTSrs}6qCY7ylnJ3U#<$%y+_$sPy{dZ8%x8(U zdNtl3zC=M~e}}w3)cvq*+rqgztMJqpUP^MBm-hl>UKF>RqV z39xNFuim!!Ax*0$9?8PrLP^Ui&Z}0vAW_dq0}^;8R!cRhsfTCTfR@qM`RB;>cqli) zkErf!F8o8RMlf`d6qS!MV|jy(p*y%tSz}Kzb#1&BMQHuza}M8>GnzP%S-Gf#t>;Ao z5Q)#7P0?&=_`@fN_nfZt$<6H_r|b}X3qVT`Y2GGz zuII6d&2uC_wLg^R5^G#1A2Gp8JLVo&t|4Kpa!2NSEOfPcejgH!GU76NmjdNv9nAU| zlKt$B)-j@p#^Bgd?DsFW{?hfklp-$zS=4^PS=d9^7Gj}Q-1l|&0{St7nUDdQXFsI! z1!nQUa9BJ3uVn-2I!Rcd*l#%a{^7QhbaB52MjY{f8&)_-JfEPOGT@A zWlLCH5iArBErifR2$M8wVq9)+f=Veq{0)#fy_#5h3wQNO*YN2-l@+Cd(fnt0p@ z_sBGh_WsT^`U%|0HjC)A++~n;5Bo8_eVKr$|3=YgWO;Z1_=G1GI)sJ)XoDZaGi+o_ z{-X$voDT!s@gl#@pFYkvEYCf;89Nuao0Pou$c$C3X;m#k>7&^rv*2$oOIflNeKK;3 zg$$1A4Gjb`nf)Zp(x}6-5sO4}Hj%XMet}cshwBA}4k|g}h3!judU1sX9lajFKw84Z*~meE1JFGpkH+r8YBuIXy6N7+T@JuASTE_1vy&nh`r&eN38uuy;$KqY1J`$q6PN{1fOn*iya+m zXIp=X1L@XgH|2U=&qX2aY}v zo%XOsh6Z;&;>aos(kvGr!1wpV!HNtuY3FYj&czt#;Q~3NIjL!k3k$KYWxD_V2%;Ga zIS3liB-a`X423zFL1Ido3uVLURu|KZO$U2gGcmpN_|fCMV9IAPRw$+4z97In@+NUT z6c8M#vr7f|XBg_a8S&$xj^|K3s=H09+DN0}E7r7KBKW_-B$ww>ELsMU4Hw! zFTjr21hP8D;4l9Oe<_0Evf?xu#ls#BphxD~rjkpc$(vo(Oz(M0uik`sv|HAiz+&}kZ&Rjw zOSH{9nwTHah-^7IdwF0lBd|DPwO5geae8!oK+oVb>JF&-E)07slWfgle!N2N=8{6{ zJNJa|MaNe}sSj<7dDM1BtO*_lj%ejI%I52q#H;yY+zc;H9K2W7^yiQZS#iNFZ~DJj z;VDMJj5yBwHdrqhO(iD$(myMF#R-%}^ zg!jxP3p@OBrDYapiE&wV!QE1Lz;N^+_RU67d`BjfoP8f4o9w$(+=Aw=t&&jS&d7Qy zewe{Kc_}+|$NjzB6Xh7Cc=cpd`!&sOlLuew0JPx}bNiZ;-}BU@!8u5B4^yaBe=00q zL$zrKQx9nso&@o$WE84nRm!PeJaa>nK{iLrm2nwljOdE3o^GavthYeB^ze`LYxTxY z3vY~(ll_EGSp0grQ>5r&S!Y^J8q+gZz*_rf82nM3rCSc!)V|!I^W7_({&MX z>3%SeeC-ocO0n5GB{Q5juezafn#eSjvP8|qHx3hN1^%%uExP@62hX*To$6Y7auP?d zA+IuF|8hO6wdhUktxP?N?@QPJd;{bVHc%65LaX=A+cXG8HRA8%*$l&8q_TmeiUXQ~ zNbJloT>{Hq@&|R%kf&Q>l&O|W4y0dJe%1R^AMw^~_MYYj(BRX_-5OzZZ{Y}#VM-_d zDs-KhUr6&#?B<{S@|Tyc$V&I_zU@>=9;fJ7=$MYau`$#e|3$88$jZ&{#2edbb~ZK+ z{^JD}n6~Ek_4CgH!tS^_H(j%VG!W54DpcPO&nJB!9!z~t{(<#XYPnG3dFHD*<-0A{ zg+?D9768hB8yY2iTcC*PB5-+bjaRHfz6kfMZz-DT$>SGN+ zsF`GiknyG5d`$nkp4gh`jM7%2uiBDCuxgIqV5(Dmb3E)s;)JUxtM$!hkuq)jMv)LgkDz(hIyr z)pwkHa>r#bLizq{6I$h-#wl@BF;G2XAt51}nXoa!#G|LlthK0z!5H}nh|nvdnKnyX zE?5j!!w{KFm&9>2z5ih#B)|k)Z1!iF)~gZwV<&-x*^qE>q*-&+mV)N+BNsUG(itMt zMBXW1f7AbM!9?pDkSP6fO^%=y(%cIjV%^0Jp5cv!uFV0VY;e19v5Vu@7xuwxu0B_1 zNO;s80iZT4Nt_h=Q8swG~5P<_$k$UiS^9Wo{lljUOp*d!CAp zbCS9j8o6T;uGaBdU?@FS>SrkJ+y+bz!=?`3OzjE??Gn-BSrCV1tn|!U@k@BWeu2+4 z^GB>_iKQ1+jAHTyNIbRRGY+L~Y@w!Ga7CnLuIu|ZSFi8hwwCUdOF4}94e*33)@;s^ z+0p!>8>o|$x^a@pE_XKi{N6niZmHQgNV9ay-G;dRjj1Vh`>?|To%}f8P)DY~%`p4* z7^pkbp+^GnEh8R~oi#{0Ja83eqQSXGZy(cs#48cY}|=oEOr{M0vW$8zV~+?x4bYQv|YQDrCRke7Zo;% z6G(xf-M?4f7=4X_>K0Ta(n+1v@~|(GV8LrJcq+&IyInA=Z}#ZG@d^JhGk z#4o%$yx8zQ1-f{(PBhLb0C!7nb(8D05OWc?I>^d_J(ZXayhC~k(mM&=wV8WlYnzy@ z5wPmgUg@Z;F(_C|fT8l2>ZhoVy)+;IAolz|0oz7$M(Yidm9A7-gup-~*^^?IbTkQ3 zdu1zHG^UxDgX>4QY{8vGt;gX&Jzc{bon)kM!Yozml_YmC#Wg^m!a0RX5cXxu~WMa_BXwbB58fClXj<6D8BD%)pori?NYW)Tj5OSqZKMR!%`MwgS+2> zw3(2Rq=t3r!Y3E}`N0*t<4#H;s*@tRAoj#u?(?^*&;@l5Gi&(j&^J4G<+2Y1FXN2 zM}!^eqDT(NH7D`f_a3~CBB+vv()^J~Jp1^*>}y^}<(iMM3`%o1Xz8l2Cwu`KhHT4B z!F%|?o4AwTmVAG+I)G$Viy~d{Ivw*Zh#GzA4=gLq%>1XkMzMU}p)Uz0ubG`cH-I#k z9$seFdMe|HlaNU5#u%5$vPYZEBsaD;UgIVUaecMPsgFn>3x7q76M}EKayd*F8p9`3 zWgPYjRyPr|rLFS}_B&Xg$VjWP%7_K5{mz$I*y9nR@M2n!VkQC74sXW5Rtp5C0eu0!^@L!QcMf_U^AYkJD^a z%V)Pn{&G&HZ-;dz03yUzL~VkcL?5u+h>JYG^N6U6E?R8_vF|nf~hqVtlyh4Nbsm9}E>6raIWg*+E;q zpBNS@$zabhU^Ap&&g#EH&J&&zms0*%#BrRZS&>Zzz}<$`hNm{j(WlthHeP|Zxf-9M##>NG_VpRN@#~gv zXV>)fEdgj0SK0lUhU*RMW$ss*q7Sz-&f@Idn#K`zS1&>1q}wlzXV?F%Wmbj%G7e;f z5dTME7>{XtrAmVHJA}ze&3W{mylf4Lr3a0L$ZdaKc(NZzA_DOWE?!}D4CzK18F^;d z=SlF1bDXNZ>D#~bij9!;#v|)N(hM@0u=jWTQLki2;}lX1N8)PnI)rh@vXMCww|W#& zOXyqcz~%V_mxPWROx`@pR~g2VJ=z_JPsm-*HWsp!8|wYD=XD3O*M;>vzMrhe^~#(Y z=wiG6Anm!r^~mfctxbOx-1FCpcA{05W3J9u9NZScpQ z&tVC%pZ*>>&c_%sjEwcO3Q3p<>SQJRkE4dpg&w8GLU+%q>}v)U{fWojFf_oEU6jsq z+&$D@*Ko@+g`%hQZjI=-+wd^TEkT@Y=B;SIF80@##u9Su(z0-a+V!mz=(31M6MX#Y zzM}^#4RH%Co%nKfXzM9)0p!I!z#spvmslnIw+h5p;cB z499Jpkpbxz4Z_MrhJxdzmxePyWQ=o=$=JnJSh(5zuoC&4MF?@j-AARAJl1!+Xp%+D zNKw2E`x&rKj;Q;W@p+?HDCHP`->`4(?*}+KhcMSoq86$yoW);`<23?0{5x0rT9-bx zaE!a2-f?aIdujcb;OZ|wDgKJk?uY+2Sv7evL)4$6>Vgh?f8M`QdY&v*u6XzC*2;o` zRM_jlcPE!55Rv7u^gtcK;61DZzq-P+)HAGIGy`SIhs2ne>He4W5ap6r=1U!3!;Blb zD_86_c?pP4o<50*ufis@U&Ra;#`hVM`AUn%B29*T^Uq=+H_R zeNxQc$4|6jiq}Ij_>GTn$VKJP1-l13?camA>ORUx!14lSM_2}i3fv|Kt(nlC38joH zl3_ao%TH=}Er=J)_Yb9|GDOTg2!GrK={M`hZNjT3di6W1EpgZf4{p0fw3V(B9<7}v zOkCV-X`FQ`y&n#RMfT7}5+11a*`=@v^&Q@c_2*~kG3ZyuBbDJ$v!$0Yyn(gl3BGl; zX4GD|H<)PIqjK#^Vu2;MMxO9x$kdI+SJwz=8e6w}LAKS;k!qU)1wRXtlOv1u>3Kvh z-apFKgFn8xeX74KnO6UP1O{B=VEyK4n4kxPmekSqUH#lVbDlitvXT@WD0NIl}l;Hy8){CYa-yA2|zI|xd? za_}{5XMWAz-Y(qe;3{cg=KFS>DtWN|eEYm@qvO?&owL6quICd&vVr2O){ueZ2M?|^Ma(6|*gD<|zp6;dd}wnch|=YB zx$_r1(ZlF2w_0L*4Uv7TG*yk1!>@bQGHD|MzWB6i#DeCUahDVSklz4{2UFEwYA2m{ z_3P%Vt1g_lpe+RhcX`0%cvJUxE8UQ;MMj9m?tfAgUp^cKx?{D#_^;Y6KCG9wlw@EQ za_o43@41v5cA|82B5bi4F%dw}wADo~$}IjehgzR(m6?(@BHX5&Wz#;9_Q}eDJGfWdxx}wVI2M~ywXJeT_R<^82VH8K>b5(HoqNGTd`%je zNTwVh3qJ*In=@fwLqLF+`B)cU!>W7boY`UL6>(wV!N_ZOPi_;=hBm~Qql~&@kTPfY z2I&3O)@k|Ge8&As#^G&2u(34~3%>XYP76#S)jrtSkOKP~pX}9h4O&6}hhzV2w zJ>5%mWCo&)vg~WQ`wcCAShUyQpAy(x@RabtiW%N>O>-LrwwZ3bQmTp1hB2BSsT~d# z8}n^^JCY=`x7Z56=&YZOi zuU`0nUoPSQ?s7Q+gepSu^mq-$!pyfZ&}gacSLym6>OB*2#b8cG%eMOKO&F@|P$+sA z9>9tQ!dv3@%3n14)#q;^g<3h4?rWZDD|~%k0#A~_sS02X2*9s9{cK-aAH!HgKzJ=> zt)!hkX;bLnC~J+XJ`9qUxZh4^LQbXdpy9?txee|ttc~^sZXPo*+vv92;L*=3ExN@q z8v{*ANfX8~Ec5QtqZAW2EYNr1^MH~>P{W)6ig!8ANly=m4y=Nk#|IQ=6m9=$?*M@+ur!_1=lUS#jB1uvpT1%Eep=%zg}a^i`=CGDb?D@ z<7Ew)N3kY0l@Qm)>7m&4AuI=60Xs9IbjO~MYr!p5RhZrhFd7|yG8fgmSNwtAxa!092* zmSvHM^Y{ZVrSaD{naAPL*#upsPPk?P{t&GuBU zU01XWDk(=*uYaJXB=F72V?pxKn6Zs{1rd z&2)zfcp3qV?~^qOTNTGda19m%MuiobS~-#P?yfOeghti2HtpM$TshDZi5!(Z&;EMt zw`wW|1s>`W^Z$%|{`IR^yyo~4`7HW8QW^&zJp-bH4yR;~4eg`|Q9$eTDg{ck-Cns= zfTx}3=(V}QapJj57)GXPdeyql#s2MLH9?0{xA9kyI1R zktNjJXkn^?gPt?yiE+j>m`bnI{1E<#Vmr(TMs~+`6#w>AIvF+Oas9g%L;YedPLpy?I@agIFwULNY?$a-AbkBtz=JRdxh0*zZ zmVn$8O#3D>((}E^N)mN?M1VOD49XcFSy0IsCCWCNI?)M>h+)6jxOQZ}&NNcXDi1&L zC?68G6)U9c=##EpCc&>laU%+JD;yjr;&{?7%ujfWFDM(j=u@bzpU;>0T!eM%4H6tX zL#sk{S87MqrwT0e>(V7N5|FwC@0Uqt?S4Dqx2Wy9vM?T8dChk#bV&;c3B)cb36u}% zTvs@=|0)%#|K_@XK=kfEwibVb^VE^__lmDrn1k7Az!XaOSdSw$Aij0s!7C@*Wf4V$ zhoj76-mj(k55;fX6|etLSec2F#Mk@Q3GBus3(sf(|U3^-FZCI;zK3rzlRyYzDn-gT{WIS~=t-X{zQ#akD&|inXO)0vrt(<(Ap_aZGR5dYG zh)Q((-Jt6=-+majuzX@D=sDgd==zfkW>ZWIJO81tsxo@f(XR{DVPE<#E;XS}V_fd} z?esnTTz_Eg&BaNy`%=HU#t=U(e9_`k39Edm=frZ22}2<)E@WnJk+)w>tN_7Grk7eb zv6*19%jB(hz|VtZ1@Bj?&;p*}7t0jYAi#OR8qUSuzN4yFDD9`xfb8tPoG=38r3g3e z4))FjxRwVUM|YjJ7k`i0Y?kt6`*e>@l>M}~kH($j)}reN&%_Ag`9ercI1Aej%1^2MBXUikb=7s`T7pbg*~n@KLe;Tn`Fw>(&74{UR|z z-+dC0Wo|T5wnx%|(voWO#45m#W}y2j~~3J~dBX8ux&^+)TzN5^4?+j|F7 z1*Z&V0iv4qN1lOxLcX!Jl}hy)d*QVw@qTB62ZAeUE;b#rW)=PzjKko`FQH>eRHF8` zhmeEYub-d$37P=Z2*`8?%!2=2sQ$GL`hR))z!cg$$G?@O*p7^T$S2RkDR+M2P=Fvu zzRtRuyJCUoz`pLV-1wpDRQIx5RALxNA=JVpq~a8E)VZe*ayDm` zK9gxm_N^^AsxsXq&MW9+oo$7w zWmP@4?K#w?^LI~BOWs97v^VtfT`g#peKFSzzwGN<=&~6mN1NOi8%= z9n};W)H79oo_8D^cItRH2VUferCyaEZ-KUxw(!rK-k184sWL?i;}KxhW@B-DdX~kA zjTgX{q`$$cKjg?GMCaX!CstKHT`mjTuuTY2a zl%YSwLNP*n5w2fC?)bK9SA*=xk6Mrh9!5oakB>U_*{S!TqbklT1Da<(00C=lX#Zqn zamPk*XFrVBSNbwQuiTk{Dqa5{jZ9k`(M9g+;xRswy2-J=(I=dek6sS}H$RDo>K2ts$*WWj3XAD=rT6Bgrhz zOZtUzVzCiNNyFY3_f@}Wo&No5mnl1ISpUPpJ8Ac);Ar19F3ofKlkl_(qISz>BVK*}+kg=%zBb>T3qRlMfnku?I9XvykUXuxSW-sJ?#>Z7V6AD3q87%l6&-2gk zIKAKB9+LBYN<@uAX~9xNYG>6N;pVGn{EZRF?t*3&qG*Qhcpe%VAFr-ewuSdMduSkeaWeCL2n=3!tr&KFpAJ$=$QE|~X z(vg$o8KcTo9RssN#|UZE8GsQE2SBPN?G|&B3<@e~Y27B!=)a&OU*NyDlMJfR9ytI6 z`gg-yS`F;E|FmfYm;NPoy=^^cx4g&aF8FuWrW6n#R4dd~BNs`#<$?6%H~Cy9`RGSo zuM}ax3MsXy^xNCZ6SQ5$xA(LX%Ga*`03aw=fdth;tH$6uhfXjhbEE9A63c7hV4DxC zA6mBg5}!O&U>q+G1DOo*<7IrdK^6_q`k1t`T^Tui&Fwj!7S#~PsdiikWYfU{6GnY> zy@I&s8iS_PMY>wrdGi0aJ47{4Dm27Pf_kdns) z(3<<1!Lbh>BEGcI2yJsqr`x`kWhv7EwhWCfb-b2-d@qJu8WL+d$ob{b{?C(pFvSx1 z_WH_3`)C5xx=}M6>=<;a7r<{2sA~8Cm4WQf!|6_wlwAw(6Vkm>Kh4L3A9-Iid(DA> z;rLdxa3YodU?ju11j(oS zu{Y*Q5{C-d7cMFc1p6!1Kh!`4+;yEvC=|CpzOSOZgoXX1W>X!%G@JYry~zIkzk{Ou z6Qf{%*gpn7WJrPy{+%<4j>`Pe+z)(x%rwtp?z%Jl)?h2@!BxqNV zjG8SE)hR@YFF)hZ-go7Ay3N2*6g2$sak%P?Wn%2O_NrR zo4xrTSIcdMbivmXsW<;JPV4JE+s8RCwy?9+Qp#Z819RrG2Q=P!W=JTvA*xjdLB#hC zp93=p%E)D5MI_umj;R<_9%EJiolp>$em6E-O<7}-fh6)+W%*Zws)p2wgZVuQEhbNt7Q zF`t3CP<(IwFH8~OpmhqLo$812k* zIS&@mvi}p!&(sP%R#C(jy$^{cKA1jj0A_5)fjmvGyj#(Cw_+e(KoGK8DyUUqAnQlL zi#qr*nDG+wJEhk1NlHKL@MhREnOUZ#i3L3#s8B_^6dQVQgJB_|PJznAH!Z?vk+#^l zp*}1CFA*zH!2f?%icugFQDslogl@HUTo0u4W>L=~)2mH^vS;YX_dHm+mH%|d zA>X7f6ym<+4Z}PQTX~rz=X#w3lAV3KAIov((S_{`u6l|z8udpUrY=$ z-#Z~Lo!IzZX?>4;?s(KX0Bipv zsFC}jA8Bhew};L3&#~7OZX1lsA` zR>|V1Tp6FcT+->HF6cKRp?wa6(H`LWdrh7q9Xw6}YwO{-(7k|Zws z7HYz)#p2>wcylXPo|Ji*blC_*N1B+(hdn_9AR-$mK>D`aq{J4|h338oRYZ||j`;c{ z`}_ub>Rf-G$f?^-y=uAYgCedDwb|+?x;FXaLkn(5OxzI69;S)C@3mNDkc%^Idq~&-1>&=l#9kAK!m2)?zIe*Lfc2aqPX1y(^<%*}F?x zKYMsvEuKw%TFzhG^Uz-5H5%hISE?&i2qd(LQV!vcF}m1;6!F?S)xQ=_Md`lLPSI}q zOvZ+c-c0e8%9ASgydo>J5~9Gfajs{->u&&)LfxIkXI} ztn@iM8ucEzZ+!dkYUkJCp>qm)eS2@ zS#=EqHw6Lex8XHoDiWxu(P}3^uv}AR_dFb(H94WF)|`@2rqMr7#el;46hiBow4Qgc z3_yo$e48ngg=)+Sd^yK7H15}0%yav=eoy_3q+QAy#R|t0yliWu8z6s6dA(ZHE|3b?ah)o!;Jtjnd>cK7nJLHn!1N)|t^{ z*A#8M_dDvvEh!^f%_$|N4&z1_ddr7ulW+U4sC(Z{(Xc8}0e`39rUFmD49G~O0HSx| zW2|=~qmEEHbg@8ZjJYVn`boI5EjRtURMt0)hi?>)VwJ}de%0)9^%kdA;KOQT@XyHX z`xzf$737M~>$KHG$;ZBiKMQ(X+EJKw3tD>j_dNzR4G&q6j`m8%K2r7 z6}=IaN4`HuyAw;xRjX~$66{FQ8O)FHA0$VKRB0Z8&s!2+7oi(OZ8)}f zy0)-A2@L~f77o?e>J!-wuaDxwv*bH5tlt*9`r`pKE;069y~dcnm$|l2dcO(MrZ$$d zZc1lt!jM+mYo>;u6H71)MOC@7zR|rtiW+(G{1cZPb#QfMl@TC!DV>?$==K4W`w3lW zWI>+`N>8&^mt}CMp4s5CNk>3t^SfTndS%afYL6MU?GsV!n&xVWf>K4cv~LYpf)idl ziy!-e!{hh$!w0vI#0RH2_MEL*AD9$nFywtMGX~FLwde%AUQcRkHfph7u&|TW9o2#uMG~$h`O6D`S(w#RQRo3h#)3pV9 zRc@}FV(3?cB3X?>v*pAi>S9X|UB4?AlMS0%6^WB**R6qgSvpT0PiJ~YxX{|Of{YP8 z++!czd-v2aIierT$D>_Xk3g|@p1CT>7i>FD_4D6)-dBwYBTlQ2_h&~Umka78bo`vN z*Zo|j-;p|Qe|A&VpMmJL)x?9k>-@o7g;*~bx0c&#WSI52g=Q}ObSkcMY0p1yXsNCV zM=&W_-Gbf$T{!(T_?~+2*+KeMS#DvPC`YcPM{_dyCHoP*FUhwHn`ueh{sLV@w%6doFQuW4E83KN zYyn{YbN_e8*B>Mz)cAb)8yA#f7nNaBM5Qj3f>BJps|McLzJ(cW3dE4-F^?Y_`+Xrf z|4FkV`5xOo1%YvDxz?~vy^Pwda$^wQ%cagUFGE$g7ocx}Oy;T5Im%EEuUb`RE;#@h zxs`pXX;|MLY1IKifV(c|-LcR4!1pFYzXyng&aZ@b~d>lB(n^ zL!!afW-8y8ZN+R#+A}9pz-=`|wA_hqa~G0RybS0=Lwc#eCAzpM z@1+zsh|l3)s1hYtz$T~UM8DEXX4szhNK;dj%?ZrstsFRT=5xt8v- z5n%Uv*K)9Ym`3_i0ya(_rp*^|J?&~$7wZsOuf2t_mJ+t8@b!C#k6LvL zrrL3?R$H(FY(h+r8dG=c^;IsAuDj}Z(BHBA#nWbKgh{Ax_X+)k5d6D7*j#n2q{-o` z81g1@chPfJ({bTVUEiya+L2>Fb`QIC+4mpBG#B%azOIaxRW~}8U_8i|NBhU`fOLC; zyzyZxG57qDA6D6JD*hv71UFJ?CGcFYotEjUr1`OcU&b>LroZ_9^#n-i@9CNJvh93P zxcC4oICfQ>zDi%1+)|^{xSCTr!VvmVK(jG`#Z@%pf)1*m1S4NcUeE(LZe(vQDK7^S&&30dSXx*0uOn>jKhfwkLN}{7 zwkx;KskNBLMZ3`v6_FqusK;FBPNxSgb#+~c;m~LFh zE=tbocXVua%|{WxE;sp-9jC-6L&Y?aqaUEH$E>3VbA=HoJLRL7bBh)}nhcbtPq=- zrA)X>?qrd*b(ZCDgct7?2c=QfjO!Goq%m9yA(b-y3rJ0uso84SfUb-!V9U<8Yv|fA z;?a9Y`8vt=Xq#s+F7DqmoxGs$BhMU2*je>vt}^#!jb#>RY20#+dIJLmd;O@YjmFiT z0ZSZH`~JnB(W>8sW}IWsEAn3UIory#7D)hs52{Lnb0!SJ?yWev*9%9vKE+PUwQ_ZR zUOO%9nclqWFEQ(UXJ?6Lh^mvjg}Qa|Y16O}0s)vtuE={Apx82Asjdrgf~|x!HbR=3 zgn@(S#$>;BShd`2xuf9F;|)H+G^n&nbIUKAZ}9$w?)O#pKKNe_-sPK^NZVfCb2r5| zgN{3cH=T!3zRQb8AAnQ&>QeW~++nxqZ^TQUze_td3UMwmuX8S9f)2Vo=bnjTs)j3C|w=%W*1W+*C#Pta7HmgtRVn2yCv^Kyts6IL6-nj70pam zgy2$H{>h+lK^V=q^eJlSMdEtnZm}+7ItGhX5g*F3(Y=bx zx3S7QSQ$|MU^H(>wDSxw-w8H^iy8i;0uNTan*su_*Z_rD)3o=260arVwi4=!ck2pW zY1pzp|L{om=qQc5HCB#HY zIL(~Q5#}|k{&QvduU}0kWsyt6vUD|-b7ck+mea5b^k0W~T?Jo64UMHq=c&|s(pz_- z!kNHYb-RF}kY~Z9RdIL2MhPQzX)AQIsiW4hSB}useh%AlbxCw-FC-%>QX+*5kOz$N zVyZ~vFQ0ZY<{>r`ZbJox3quGfOV0hKy*ZVa+iP;UMKoIbnwspEeuQnyx7VET+AA%R z+n0X)3#K6~)p7^qBzLFHvdHO?J?H%7SLW-dJ#goYe7@$Vi`$4nqs+6%m}hd%iVw|n zLeyRXHSWRBN4RJCva=5oDZC7d_O0k?YBNRbn!ALN02 zZ__RarQrMiR?Y~;Y#Iq)Z%Po*Ssj^XULB7PT>OPt8bRjCmc87^WcbRM^OmK%E!L_D5PXVqLcyL)n|+KtgJSort?Had2ZJ;)vB zQ*Si#fO8a6Qa_>Pvc6@yg$YVAm%tnbCP&tE=)bW2RBeZpqoQ$18!6V56`Zk_*7hOH zZ)8GB0Si3lI5;IWGHD20*jSahvXeAjxlsoYeqyZ>p8o#gWQQ9N&KsOvdyQFL=#!Cw zGj{d96_0ugdqqIFVW|8dL5O9x4)<+PvGtz!FS5BDeZG7jw!xQI-^5Pa7|-a^CsY_>K)yyVVBmcm?;GgW({f>T zfyo8q0Nr}AbI;fr*R>Kx6_!xoYFx7!o(YqLwxT;3=XD%<#0~~iM2d2D-DaCS_Q!PX zv?tuxvO@^u=>f+x+(}k2%>-}~1a z+;koFxwq!|N9*sw$n0%8N&T{IyODW3XmdXL#Y~pa2)Q3h8}@A9{lV;?PEX>`G~8uP zGx1MGW+Ory{lS)3^!A)Sw3Ubdbli79$ivdl_FKTlb}RyMwoZO7ef0UfQSxAK)!=L1 zYou1u0_O)DmQ(?7g3G5t(H+2N1H!jdQZ-OndmYEBW-U*iZq&kv=~`2029#5d{Q{`& z3G>X-Bedy$n>4W%wQ4IVVJ@kgTue1>s+=IoD&rhgCCKTFxk{C<>!V9(igq$-$`1{v zq$mvL5ifMXZe)vX2~BBvf>R*B$b{;C5+XR}on#GepO7{3Eq?dms_}dEhp(&g-?bmV zIS4c9f>!lq7JxC1#Xq?BlQjeC3{`A!VYCJb8% zJ@;kq-5jJOtZEzk#5Q(5wQdtW_2W*_BL#kMrDw-TbMI#WnbMHIrKCU~tO~}Z{NBU||^12j+UwN(#{vEW4g>o4E$zrui$OK2T5Sx#zLDfn{>TA9zPX>Cfj}mAHqJ zu}Xjbv`njYFwX-cLp@U;D*5cj$t99 zcEX*B!Q@X@dB+RMbn?k*f=9q=REQm~#N9O^<@Wt_QNGLELq98H7PYEaW!xpXsaOmfUx(zE$$qJmHNV6{*0dc2|Rk5dQU zaE*leKU2pYkirHA=!yP2@RX8o#~28T4+(-f0d;pU(KNX zi>2xp3#mwBNgl36hkgHd!HC0j&}kP9EWRGeAZZh@GINXYvpvD@!ipu6&lk!skJ74b zokD5sCHd+rr*eu8S_NQThl7`@oA(>KUGe*ohv8I(M@M(BxIzXKbv>IonfW)(?E7V) zK6~|D0nr?Jm07uOr~0Uve=y+pe|P2J9ESDBpPl=Lg@s)+i(8hj{1Djg#*cu#qJb`~ z-Wm<^53W=eG>(Y|yN#y+*A4h1QO1-W=#{VPUUz_@6WujI=cU(Ag-*`PXr^}AN^u6_ z|BBstdx&SK)JF>cx{-3n)D(V%=g^kL-XykXJt?05S&G5a$J zviJS}+$>Fp5a#*G-n%HkKQzVFVztO%vJ2s+$pzxmdc9)xCHXqqPhs3x7M=(u-*y^o z71|Mt#l2h=m{7%V$k*s?2{)gW`H6GeOzN`%#(=@4^#FQk2@_0l%bPQ5S-&qy-57KW zb$;wC>#`mX)XGiRl=X-7WyS>xEj7KjVw|_A^v#y2QibEJ3epd~#J+I(gp?Nk2z~zux0zq5=gzjt4G#BTEe>WN(X79QXYwVTz`6Mp=V1~F zwAwNo0;<}97#<4bEl^#Xw@TElCb`NA%Xe7Uxk>a+&W!L?d(c4R*RFoqHsQ7%&i*h6 zvr&Sldd{-Btfv{KA37H}0bP1TSjHYl5=WTN z%;U+YIYmHsqYn>0OP}AJT5OL7V}kC~Er(7u`dK<)s+v!|n?*rIav8LYyc*oe69Dslm>j6~!F@Vb5 zI_rXeLxCoRI>c-0jDK(2;i1UTb){wlnsePYvGg%M$F_%cA>h)fWoG+Qe^n-IRMGqH z)=d#C08Q4pV_*6X&vHDs^ztO!P0e1Z;|jm6=5j6wtQiL!3*w}(wWwQ}ce}h%ChMU} zbHBX#^oh>QdM^?#Tf$C^z89D3eRHL_WV$nE?V>arl?O<&cWy#D;O+~7J(VayeV@8WGsT|lSj{9J4tF+KM*Y0{}7_JtmJnQXZBW&xn z?lVzNqG7QsTUoE$3nCs&=_~?NW8XeD*BPo#*k)gBm7Pln@(+1Fnb$E@I2V0~f9zf5 z=e;y}OWc5kVc(bkYOs1JC&I?mB_x63f^3td?{)|#&g+L3NRTWnWN=tX2XPGJlic2- z1s~)dwuYn*V<4alpjlito8qiizlFlZ14&;$wC^Vw#Cu&p7xe4wS2CZ?%ROL4=JBBT zN!qJ|L<8T6i0PczwLu5xH(TR#A3pIWPzm$s z-PG@Jq9Z1oeMXdaK_qe4Vb|Hq8?m?Vb=QFjQcWE({@~r}K)Q`=lpp3|?pPJ}Y~y~` zlIrof>F?Et^sGU_B))(|S8vGTv&Q*Vek@wdJ)ASD_?3DQt9Z4BGj;1KTnN}B zxpE#j+ zoqH#_K}Y&ptIL3y6TjBV)KVkS8~eT*iH+k^0N}6d&hQe5su~=K)wN6Kyt7zc0iDyQ zf?{KJK}Kb4uZ8|bpm#F7kqkS*3K#k?IJ|?$;iN7AoS%AR5&q--*?FHZug7nkN{ny# z^3Pb?OK?Zc2OlC(YHOC3+2EO!h@N*4jecuQwWWj(kO->Smm>H}Hr}crNtHQefE2{e zl2n#n+;}KnclQq(oK0VK@IW*WyvVGO(-pQb={_2GXY#KF(O<|05z6}VhwU{AbWt7a zu5mKVb+M>fPlFZmLABPJwCoE@zx#?@v7rWLr_xGQoAx%N-?P&+D z9~D*W-l@+nbh4?+8+|X%g@a5rEA7)0GdbK;XEIS_hB@as!6#!Jxs=IHu-XP}3!DKF5ASDYNp9 z&fSF$P7NgHKH{QaWzgGu6R!J7tD8F6-vF0DMzH*kGOoF)& zh^vtAM0;!-x6CXlC48I2!%kW1{jN3)0G)u7S426FHLVheNM!ACA;7=e&=amPh=qKb z_|fdloaXKUAMMQSLJ_iL{D_Y3vH)%l9>P-j59cKF!+Rrh6WZsNJ#v zWJ#qU`vsR;Lhqhi2C(;P)skv_%5$+b4E%5MbZp6ZQqbhdJXZ|$F5Qo(nnTkIfxuC- zwjS9RXD6Y1ycxB9LG6PQQ&9;3Dz6W1Ik&n&YpN}gGTT5pBJvehp>us++Q(H>)Rve8 zqHE@{rzLKipc~ZnIq&ad*dW<{#{nt`>`b!r+5B$mBJg|G@Cs}kTtJHX(n>^_mU$X` z&bIkT!>g53r#k8;GZk=WwK=I;poLc(!fzGL*sbS;Z+AH!3j=jqrklM5Z(k|0iJ6P% zc;KIjO0JpAo>O>`3-v^SxiydeW_HAfCG_o({rU7ajgETs4gaOAD|!P_rM-osKsm@S z*|8^pF?aV+Hi2{rd#ZJ1sC7jr8IY*j2*6BG_TsXZ2J7l!8N_#0h7A^k@avc^B}7lB zdjaWlAasHKz&KoBEXrj}Tef!6ioH=ETw2q6i8DSdY&wFMZm$0m2zWGY+^S{wiZFjp zZC(CqLV){g^kX`_A6&`-c?KdUJih(W&R%Jj6b8=2Z{8QYOLs(p!u||FpTL2*O0mEj z%ju)Xz4av1?D3KtryUgn z$E{-r?h4{@Ps~}LpK6jJc7fFb`B)|;ldB_?&{bQ)XxkNF1w1J8{nn6PnNbr#!PaK+ zunZNUb?+y_=6CuW+27@U{H|vV@`53`-(}XI>lvN$OkPE2FiX}4%juInQlx}t^2$s**qippNQ@35*g*{ z4rW}LWcow`!=5@5@NN^|;AVu0$Dt0&TU$vm;G2yAZE4KG-@{WP6i@GAIt|df1K$kN zL38)oDym;_N|B1+!Y~Ki#J9Hav0LRaCGr)TALl2)%-T>_i~&}e)X5!R_#aPL z6_=Xbk5pxcXyBL)KQR3;>A6vAega_IYF=F^DFz}Szcrr?@QMj#&L}5eN1n(Tw zLmYEma|E+~CkNRFv!CULF@&#t+6?gxu-nKZTV0xV}~w}U7?Txe1S z*ab10PqK@$oVXTOYq_N9xemq@ecG^3P z)WS0QSS3R|M3oe(I##-SgQ!chtEk-HAC2_${kcXGcBO1+bcR)PTp$hb46#m=76Bhk zeEC&M(!3_G7Lr+D7`2nYdfrU(7_cQ24Lf-fLi15Vviz@mIrg+&Ps9MNwk71tjQ2sm z>8QG94Z|QU5X|kkl59?;2#kwE15Z*5Vs`_;LUYrau2WY4ECPIe_5ITE;g`9P_-4DC zo(*Wk-j@MG*8qk~q_ODpv6yyi%RB@ zANW!UE^F2}p7pZxG6TE=;@P3FAO6@I-_!lB&jh7Hhy)~!rflkJ4zZS)-lbV^W5Z;a z;}YA~5&)rqI$&C7q9*MTVZM6+pe!{msrQu|TR%j`PDKwKHdj*mzy*3Y@&g&p7w36p1zbs?|T^t_G&EO%p(N~t|9>B)09+$`XhW7$F zv41M9+?`tyo9kDmyYwr+pqH+3`x$jfU2RF#aY|)M0y{x@y>tjs?R65qDa7u+oF5Wx z=jNf*Aa<#Zs|Pr!y1nfPCbWrTYY2K!>hHE6fSw0#A~f8DR=_Gw>B+Jz)^CN37a(Kv z;vhl!D8dI8*371Hg<1FtN8NGL4++((`dvM(+A`ABBp#!`kUk>cXr|EHEK8-#E)!(R3e zz;n6o{(TC%jQ)Ab|64u3c=2~V=UPZ{yNzD@M#|N4`Z2Xq4)-QZMKI=*%h1{y-zOVD zfAgF|hWP;&*2r&dO}bOr)x?^RH42;s@1InucifZC&VbJz@s4Ssf{q%T#?$|G*bx$8 zd_H0nLTiS8Mwg3!vqdU|<1dC+y@4!8^kBGPV>5EzZ%XS*H527uJ! znT=$(V!(Xg$ZEpn+fh2v=DV;2eku*Y8+nSgh5f=CR39X{YUzO6yvICKDe+|1LwCFW ziq3Lw9b~Ce7eM1V-(ER0rrRq5hH{N+>b@y5{k1M&HU7a;<_&i28PkIhuy--d%%TGRjqzArn3&T0i%qU7(sP0OkDD{ufj&NIEjjwBL* z!tV)OcE^kx-bC)u`@L-59RMx8`P$3-jh&eg1G;xN^g1@*XqY@W6y2prdBbTc+eRMbWy())bX83TS966_r+g9nrFRq@5E? zS6s$6T3pHo)T)F4unbt$%-e)zju~FPw{ucv{gyn(c-Y($w&G7HDpTn|1OeWKgm5h5 zIMjHBF`?vdJX~7bxCV4S9iqU^4?Sm>G(GK;HH`qr3F^S*GwF=;49fNpt1AwOy44rx z37@#b29Kmew7>_?6ROGMs|vhs-&zNTOwS z@>B0UmJV*x4#MW1X5BcBw&kKa#r|DRoY<*X8+k z^YjE52`5vW{KJ8!buvGwav)~a@;9@=v)+tbStteXTq`@<7$WO70da%S`N>jgGXP+# zvC3pvb%jZ7w_vc*KvXAi>b-i*Qmr{sZD7gPP1{|Sv+El@DaE5vz(rRd``+?3Mcq`L z(}|+RTt=wIc4kuM-M&&~7kM!6C!^OSvYSb^N$iW)nB-t3YL){yjT0o^JVa@k@^ON4 zo{6(Te~Q5JN~&EgF9E1=@whQpwS%d$e@wJ*yOHJ@-nQH4%_eEi3FFoC%2h6S@3tr% zyVv%#%JJ;c>j}4$Sd++fs&1(0n3|fd>r{O{|I0naWZpB|v-vB_{rx^n{A}~Zc(=Ap ze0IT*9QyQy)?ylP5I>iH^JTd3syzLz6*HQ3yFPT%Jb{<~?%lnTmq@BAAn|I_P%eCtkQ_xd{i0&aNe z*FS^W`RboK@Y+$FGcNkkrX$?qxrm!$y~#7moc7&Ff?LoEX%-}qg49-8Ycr*DDz=mS z#f#t*ZMy!ps8)x8>#v-gUY7fU@`h||_la-zR5=fo@JPEQL*gt|Gngc4@zbheS@sNb z@u+FkGkTa?1GcphV=W%vSpth$WtcC7FTKi#r_(!qX`G#WpW{iWoij;Qd2VH;p{F;drPMm3 zt{J;t41GE}@&bfYuELeHJzb*Bcfl1fSmJm0@Q5Kt;A$3;d`#&Cb$*e!5#jkE=S0Ny zXBs=LXko=cgw?9Qexhj8$v{n}@7&j8*?qsbS@x{IR?W}pBj zK-iO5lv4OnJCzaqwj-~&*2ZNAEQh5hGiH=0)A_U}t7)EX4Ya812vP$cw-GT1lf<#L ztA`0BkrD>3Gldb>&C3~x?+cc|iX)y+p($@iE>INTzrbfsd@A7&=k zch9EvP^OUC+kdw=c-3Zb!eFx-xeJT*k~sw^!@c)qvpnZEqd@0p`ukp>w>0;6S>g8K6z$0B^8?@GfeLL{N}% zn$t3j>2z>5Zt*yV6R{wr&~dzaBacWJdfuK0PFbswXG#$7mQXuhIFtT`uBhti_QabDyvyCm*NtsvcEu z?G!x=bK1zy`ALxtsOg+jje3#Xk$O=dRWUR>zhOk{PUCH;dRao7!2G>Aek`gi1Te(v z21dES23{-@SOP8r>1tfCkOe9)g6Ao$LEb3Xf_@*_`Za`anWNcu>YT=MMt*BVDQtx^ z??~7t&u7Ew=sRuCm^oP6B7ZP5ADyLGt%@0luNt&u=B$BKTX+Q14XTKW5B?0zfrsu( zCw<;IsZgNj`8m9ZJ8c%n0_Ka6B}#g60+x_9$nx@6j`I-|d!_l@a|=@)ogrb?l;&;4 zUZ}gHSiip?%IiFY>1p#VEA-ICJ@(VYJ@iw?J-m=SKR$bldy>giM|3HPdxVidPu5Ek zO=CzWY&Wh5prgWfPl@8WStY^y0Cgwi@$ zo7Z1Yu9_(7-$L!96(<_iavJ7DqC6OR%XdN?r8?M`qokD+78vf?0IMG=?&yFkx%14O z&mx0OuQA;3^-AaZ)5=<+S!3zqu8zg!-iZ}99tc!h1x%89ktuD71o-UV9Q6MdV0vHQ`4YJ;f4 z{R~}@X=@K5Vht{Q4?$qBV52C)r9wzxxGGrCdWkl!%X!M*@*s+UW5952$_E064+@Kb zIx^n$QpR`vUWAMr%X9cT&NO=gJFefOI|G7{|4|T{#(%XH1o19EnEyp8-6H3jwM1=r1qMDj|tb|?#7n2QAi%K!g=s#AoP5nT|%q{&hocCw67oD<9GB4F5_rZuv8gWjs zFzT@vCI=*Ku^aRe6NX_;MnBn+Qp1FhwU5pehQ2H2Rn;BNscGIix|a6V%r?0%3*t9~ z-oH2|_YrzCS)Svd$zfd0^IFz#bM3v&i${fLGPVs1tc7mwy27Xa#(7hwD0w&$?Q&EK z-jtW2CsR)M-MLp(dy8uh4A3>6L*^UVg(SZI?frC05ZtCF+>dA#_aX zlCo?$3S9NCb*e2GM7On=fh!owP5?lD3TuAb+3*)k+t+tNi);2aX|B-ox&2p^z@ko5 z+q&X^T{Dwxv^kdmgcQ_hvoBq_^OE_R7^EPg=|>M6E3(NTAcWOQ-93}llvZZv3bE>-9mIm~ z#=46EVRwS({h|em?SR^#b0KB*FBDfA4nF#Fo?cCZ$G^HD!?X7?hk*ceFe63s#NdqW zPoDz%$k8`CyZ;iMbQ^?pic2NCW?Y!`K$M^*9>Qd#@fnTN*%6XQDY-w@7R~nLB5t>e zJ-^aOAcqoCpBI+aYaB$80ZI%&_08HLLl9lN^`Sj|{A~o(EzY_gt?}M?l*$w-6#ydX_jxuc|W z3`{Y3KUXp1GD)%F>ZQlpUdU29@m$=F?`f?y;hP^%6?-3g-uC((kS$h`@dON4tz|v2 zrue~cH*NGqNRl?`uA&q@*3gS@VM78$6@~WIYK!M4Qe<+&bc+rel zsy?2qZ&0yCANjriKDYE@%TV>fnOpLp>Kys9Z3#dffXuxtguP*oaz2vGRf~l|5x_-89 z8D6QJz@_f<1eY=vYwFsBT4w8$Q9SDXi1Bvg^6v1CgfuKs-)VV1^PHP|Q1E3|no2E; zm%e_?j*b(|J=^;jy^1J?b2`c|t~hQ+E9I#Mx;l;+m5x*=8n4$T2E%J(WtgiIf+r_l z6spP!uOuA<@rCJ2Nyby%!*IcPzClYyk42dt?gKyVr}}ALXTNFEUxUW^KNpTdI86Cj zBq1~0l)~$uykzPsvauWB*krOo0K>g@cLvamvB-09Yg`D z&(z+A|50>;P-{SaCofOT@n4EU?@(%k}nu5EnqHnx1f@RQ+EL zQ^C%IzuRY&Js~z5PhRLS*qJoBD4vcGcjOxhV9PMBk_ARV6D%hdj7|^=+?IH|8aF!= z;W|dEV&u~}({}@j7-^M6;@dd#8%GP(;364{*&nx9rf=;~gmws{^ZDeN>x?>r1!=jo zQ_URcIB@YX7e8hqE?_QsA+&pD*!vAG886PiV(Es^JfZIW~chB-2P4` zujC574;Kh5NB2P!4vkl)b+j9O(KVvo4+OZQa=-?FTG}C=Mz5f%t1xgxv?*t#%qxIK zqc~@z*eO7eY9MaQwS?1a%kMkL<*H`CLs>#6**=!6mvs*}siK2XBnTY?k-<>`?wkv5 z80ZUqIpk>BU!5owh~N4~pY-(IB({2--Q%YXU5Fxd>Wed5OK&Tntv~YC?i*L;b#)GP z4X&vi-ZztJReDSs)`NWUacPnebtNI(q@i2rb;`QGM1qOV1R{=+@sO5uKJ$p69)1s* zjBLBNAvgjN6!{SVyg!BbEpo@_hwz>WN@dLGfc}m2_Q;Lu} zzYV31BG7`r<$p{~`}#3OR`>%-jzdC8<2b6Qc_3b?Zh$pM%liWrvQkCkXW-XhR(na& z{Jd@0VuWBGgy@UgYheWIyHy<7Z4aFpA~%>aKB2M9{PNel` z3e$(IqXTd_{a}o1DdtIyRR&AHa-)u?9_I65{lXoz%M3f>B3Lu;B%E7*Cp9Bp*Heu7 z%Bz{f$Ft?}m92*=SF`n3nz=P^AQoN@QDx_6vx~_+d+lpUW|ijeZs2!S6A$kFC4d4M z@8SH!8S`#nUVijez-E$Pfp{p?TssFsEA2zdj^4M7@n=57dhW0`l#SaeM=cV}i#~e~ zs+43>Yye`D@=9qu4$lycs|vWNt|fBt8|i{fqE@O6Z}$%37e}$v-iv&KoQK^EDOQ0y z+GpA>M*BtAXtzDAc`T8o3IP@KIt0CHL95P%>3w{mjP~QW z;eDMJ{yA`YQ}$fICdl6~A~)%OGQnQ|Fu?$G(8x%#hIPC)+#yoc#wSRL#n1C7Y~W?O ztVpldR!!p8kQ{R+5wGvinTb4ex^n*a=Iiqf$GuMSsqJshQUKO$7-*?zzNnqAvp@`{ z98S(hqSO1@1M#SnjD;lgKkd=rC-M=-57YZ|Z}T)jf;ngnf6tdgoP?kwmm-|Lb2~FCHC%@@C(P{SIL;Nn@SnKUjS2Y_*zj^5j-V4|zntsAPQV5krH z{ym8>lj~^%lk*UyY47P&?&^_v-o_nFlyRhpRPBVLT49S0uOnfbhE2_ANz-m~>)A>w zRl)1i+B1zaI_AF4=Gso6T-<1u>EU*(ym)7|uWj}52;&J3m;tY;H-Uiq-rP473QAr7g8 zt8Gc@D*&;^0^A^%KgV1pMbW^tzYCCn&*s1U#!L|{-$YR%)AWTNYZpN40eyZ|Zm45t zw?=;WZ?deF?En=}4g&>eFx^MaZory{^3my|9^NVi*IGdnd zt{_Clmsv<3Q%$3X@eTwFI&Q(~1@!;Qh5N}w@Hmp|h1ufZ#%K^o(CoH+;R8b}>T&j- z=s~?`pgivr>F;1USa-D%Q=A60cmZ6c_0R0cAx7)VC*HSVuEr;`m8e-bu#fQfA&YkF zVCHuj=K4SQ&r5yS<0k@rBrsI!BDA$mmO0*ec#hGecyLZI;8f zE94zER(?Uy(`h(yeptNv#A&?dfIT7FQEiUU3KM`kQ&Yad* zAGKs8cV-(JxLoCZHK*Oa8^o(0fACtpmxMq4&e8-C2&HgQ;z=+1akVFwkPg87lT4?6KeX5VUhm+J@ z<l zKnw|Z=2FM^v4|Z$P34&;3_PpA@5Fpvf46CAjCZ4HAt@w)bvd1O-sNu_3&5k( zsx=g%btRzH7pZr?M33w%BFeQ5!5qVA(*T$JL`Py38F(@wUQ*=>!~5rHs1j}D7!N=R zrG9wD7*@&Wh$BJS-o+v!QVOwnV(l04PK06HpWvnVFVVIPI-%1b@sm*IRa?Z_(zYrD z^85)WN7p;No}K7?#QP9QQY@d0NK#|{LUC75pf9xKFHyAL8q+nW02TXafdRnD%wwz6 z&E)c@gX57vV&9!rml$Mf8n7wS6f|y|U96Ef8emjh`gBxNPYeL`!Tw7CZ9g?)DfoO> zRgHp5H?F3GNc5MCWL`T}uv3UyTq+Qj2N%49p3W;yL*~bBw!jxEG1mnOa3_35zf;Zk zZ#&GB1VI9XNw<_xT2$3%z)wx0Ng)}`fp|X8%+p4diNu=!#PSQY~19hJD#0aD_^|G zTL)Kof!Fq zAx{WV_vcAy^)m`y4Oa8Yv^*D&d%yr;GkQ(1!7}5%7>@fxOzd+6Ll%TJvxP$F6SX0= zq%APWl@keGKkp41E-e$*t~s<<~rKqFqDs7wcNKDZw$KpZd<6ckj; z&Xg`7^WoMMRttxFD_|N;1#-H3$5}p*<8t9H!JK^#q3O&KDwa@a7PKXVtVF%$YS?w% z^1ggbQd5;Ap*T1E7TC3J(Q?5+U0~*w(?#X- z2d<})PeA@DA$>J)e9_;%U)236a`cmZ!#%d^S2=u2>h6x1y|$vt%|kAs+C(#Ldx^2I zPFs8~`r=W}iN?wnM)u(Xzb!)r~xhh%kW1y`%Wm+;&zy%Vf0 z&l9@GUfYk5QpN8;Mp1U2uZf*P7sT@ZfeC{CNU6d$hX3#9qx* zBFPak&`m%dnPI`y-HE{^To?!|FGBHU%W!nUCX7Y@x{OgOVHKC1U?6vO0ueaT0 zR(}JAmv!Z#I7q0!8%I_K*z}Ev1qGk!#utW&C_muw0sx|Vz|v!Wa;Lqga4&5mw0tO-7pi(L_MPz@;l7?}XeirRi<h)u zan<+BCI|z1m}Q34V(f89b6athx|09Jg`PkYJ~4KVtZQ2yhWF6Sq~e5?L;o2rGkwph zv29NR@{7{eQ|?Yh9lOOtQg9=>uYhuQrg*Nf+$?v;>t?1qF|EWrmwDJ;@>sgOtUqTk z1(vrJa|FID;^q+}|mEDK7IVP2c$zrNbDw!W{JI_dHl(*8bG@-OAtm$?U32rie$Pi0?f!oG56hL6nK zeBM*ZOA@_o=+QbMyM2d8@?w?zV|o7_7F7hVEeil-s7&sO>UeMzs5#$X@sOE0^yQSK zOWAuyV0{zjzE~=9v%D^N!u_j&;E$c67$c#u1SIPf z$Yan@7t}_3B$&m;vS1RPA|-OMyp%Y*&4;Mfba!0&n^zq}WAaYlIRZ_GXsec$D~_`k zcpA7L48tEd#Kz@$v2W|Cza4{B)1jlD44oppD1#x3wnu$~#BD{VhvS^)A9f5;`tod+ zmcUg=+`pN6&%=+RR%5NqtLNK*R{T+qbsD99q?T#JJC(MVrE5JhU0Rmr>gJ#Cq+l<6 z1}+(*9+dXAyP5g#KirUMyVry#WKVodubTZq22fuKoem2)5OtyP^g26xsw|yA6W%$0 zg7g09w49~SpR~w?NV~7E_Rig&#Ex;FXV~&~_j{kb!WckzII5lKAl`Fd=73A)*Zo^~ zB3Qgro1(dh8e3fjUdABl>(8eNh0f&nmYI#hR^|Eq+`IL%&|HK5lS5`S))Wp5Y#SAwE@WCXR_51^?Uy8gy7O?_ZJ%oLA3_|^7AlSUhqjO( zBc#d$b%{T)9Ue>|yk9tk{GR zUWg7hjcy@*Gz!kwcz~?HKBG79%!sCYuInPms^Gdh4Uc`2Eawz{SwK?EZkT}`Swj`u zKrU{<2Ab;LQn~M@k+^3z?S!FuBMTX|uCGVoXx;Alo4{R7e?$X6fNTBENr8d!)3oA6 z@#Rznvg7Pk*&3Rd(~c|(#E!T4o+%?pMGF#Jz$av3Jq$i81Kl@5DYBCN zZoK=@Mqkn_L-RJl3}}5;arMYtW0kIWImK zqjUjJRl&6aIpAxGK90JZzAD-=77{!5S$H4&p~&I*JA~{A_V!Y zT2g%x`R_lyEsMbyl6AvRr+HUfP|tp&ks?Wqwq~P-T8HN80d@nlpx=!T03UYX=1lpX zyG^SoSKe#4;5b_c(;oXs?=jCEweTe|D#b5vc?4(AZYH=R;h|_*lcc-!mq(6J!wKRo zZ;5ldNWL1_0_u2aFwT4jbGARaF`qPvy-vplqCqkOB=nx+s5H%Vt>wKX{Rw!d@pY%E z8uM&qb8=*9)LK(28Fm**OZ258Oho}y{27vn9pXNdecHN#JA|e6vf6h4g7b*+#in|GLW?K zQvPUn^x>#Ru4b}osbL2$g5~|Zl7JS!d8C@q85%LWw=*=2x9>K~(wpa9Es>{`6XGiz zk1-t$Rg=mV5EZz36iA1K0bb%vtWb=5t6T=}fgl0hC@GhkllSg#=;Lm5xomGl7TWYO zt~E8JAtPA>r_YqSmT^)Z88_Lu5F%mT7hLuz!w!(bip~#WbG~&VOIU$JpzK#w=}V7^ zs{L{(CY1;JI;wx8E8Sxm#15AkS0Kk;!m5x1woN;E4+q7}I~?3+XFFHN8kh^`>dZz~ z!5jL9x7mL~!b8}Pn$p?*SB~EBaj3k8Y4C3|H1%GkUdffGIzipQc1t=~fiN^hZB5E% zQo5*qL5}%+uVt>!he8*!ciI^--Fep~`P>!(BQ8hf(y>N?q>}qaFOkI2bd9Na{__vT z&L#CTT*{_6Fcqogw(^O{c9*kDfe{=Ub0H%fW$E*gUkBVR0T&7JH^An_Q;K>%jFIZe$ zOqL5`5<-Udi}xse!l*656Ew|{;dWD9Dv*iZRY=Pn5|n2M)Y8VGx!}WvD_xpuLSLNp zdfe9fk@&V{Fwnc^1JajXvl@Hmja#=%E~WOlCkjZV#D5YUhQ(5e!M7hZ0KdPiKYLfJ zlsN6~1=eL6E0sMWm?qJFLoe8|8uVHse+Pi;4Tk`5e{;|I(QA2PI$8T%I;irC6!z1^ zasMDGTkm+1wvhyKVY%uZ1rDk{>zULy>zlc=Y~uy8rCgbVIu(MExAEdaRy|G24`YbP zVhmX^UzvL@BTzY+k5*>Z-hUidxUtZ-*-zC_HSEK;=I4BK`&PEH8;+oXS?YGHnZxtx zg0)$owu^ndBpdnCv%JD6Z97oXaTD!D09P%HUl z?P%{@xNLx?QoPGdN~RDfK%H4}Ae^B_Xh!gz=km^^Fs)TUPDEJ2OX&-Ui}k{ii-D-> z?yZ~O9Pnq00HNWVke6i-hD(FC! z(^S8%k*s)=KCgn542L14GtRE>oAU^99B@)$av!vqfgKH>%7iGOlCUlvOG(XJ{wvkM z(7v*Fo&zs;Yp#5t3#OMxcS|0MLV%bNC#b0CobMo@^fzH_PSmU zYgVKhPjOtXJN5-nnekNB$rC5KV~kyA3)2GL1J^6G>lYG( zH%O2npV#EDoGtj6>5)Sl-hi#uA8Z-MQ9AxN)kGvh81{$hLWlh?(%S^7%Rl@!$Q*Li zkv0Pk{I$**-kx1OT)a8y1An7qTl2RtCnek5wg;ao6f4!eSjuzbCfxf*%LvQE0U}q3 zVGFn7V9bS@WZUrDh(oV!WbYKOCqA$74rO@87F@C1tD%h&vZ>~T_d56s`L~7y#v?-7 z%GMhP={m1a!^?I6?MZJi=A3=71Cjg2r0dMv)(Ca}w5F-doy5LRJ4En~T3Vv; zRF&A&OfiKlk1aEk`LF4j5JqPV_+u^>D5vR%;?X_apM(fEhJ-6{DV3Y}+|amvA<&Z2W47bJ5`^zVl*iU@C z90(#q>EAhk7fyRS1`Of?{Fg2|)uLDRo{dASkvMECScMuBQ6+QcqgZ1%xetZ1geR;5 zF0P;ZNF7x(^kh5X<-Li+kP&YGnER;508Mj$QqZ&PWOgX-fl;M^Ug!h31>f(Zj^|s-_}5O-YoH*&hNZ zy-leSh|1+>K4fch+InnUrjOxi1m}lQQeKqy2KuP{zQ)>G{p#P=h^omCV_2q8haEY-wD&PuU78gSK-dU}%^TXr5MxMTA zcJtMgYW4AsU*L7L{Dx7I?uB8*n2RKNxfjP)UCm{@H{}xV5n;MNdIn00`)FVVKqGGb z9J^)I*#W(J%frq!Yw_)O{_mc>;FBSZ4 zJdDf0;(LGEw3)plgV+gA)6}GkEKTS3jSqhJX$LhzLtPHSn(Bee(}$C4k?VWmzGVaG zR<`zIcY@?gS;atF)xHEd*vm9IC@TbYE9G4H)No+9U<)VH_!;5HItNYn6{K8t-D&x+ zFSp2O$m4(%V>)wOe)5WWbI1Ixl)J0XIVA)IE*MWoP$^74-T=Ib`mU1)*+t)ON-p_b zU5X$(nd&AYgN^II7AR5@5I3Ov*kPjl^IUM?>FehdG^GYoVv==lzh?|{=6kzWY||B8 zARiCj!y1ztFz;V`Zxk^-YNh%p$Ns28nc?Zl;V56dL%0d94u5(zk9=+=zu^3Wi+Pn& z){Xu7uPcMeS|g<-b-MUgL;XJ!Z5X?$C6fRz@3)c<06d~uzY*LT`F?jpJ4a!0F3cnXkw?OH5_C+!~A*f(D} zPa~~PC#X$|sZD3%{HS`!UOk};zpL$doF0jL`#R7!ej-TX#WFRtb>`bv2=arM*CRGSxCK;_OKN>sTn$|~;rrYdWQfn{ z7+F<|zFQWIi#I9+!~cR8(r`h^>OH)11QE~C5);oBB(aU+tWw)*kJfcLLY z?r7;_Q!G5b))q#`<{<>@q@20UXJh^vKVKhBju)0Gy6!r@=JQCC{cO!OzLliOj`6q` zV^760#!3QxHnq#z$;<8vZ6OE zVmp<(M}VOHa2Vx_kbgsAW$ygVl?`2m?gZ;kJ))k5hPO@8VBp5^A9$q*8Is7VBC4!`}QP- zpB4{I=q4wk_sil&=tabwPY1hC2B+=MrrIkuEECn!VnngFzV|>9?^w+~qgOsY>#-+& z2C6VK1k;bS7?=GjIf{V1VM#Yu(yR>#WkMxF{}BgK#X>sEX^SpVd(rU38* zrMU#CL&#Yf$@dlgcgkMg3u}i!OV)6MXxHx}5a`-X6+&{EE#h8X6hQ77W}O?PD?0s5 z7F^sYe(HtnLvFsQ;f`Bn*gSdkGnDjfrC`{5H>17udk2*MMcHDjw|oD&d)};Ub}V;`?g)yQ#%qz zY^~61+iEK@vdU1XDlD75v_<0>bpLXPsdO88=Z^A=-oiw8Ral3+)h%s8p|Yj-2^V_v^S*^lf8As290XeV~sl zfBTB|4OxDJ@Sk=K4g#1sgg(AEhe>&Ly;IOZH`R6}ol%9yMqsD>ag`u{w3VO^j*C4) zUB`o)QQR>U9cX+u13TXEafp8p3?KWiw3ZL@ZFzBP${9cwQlO6i_HN*G)M(_5q_Plh zt+_}UlPTM@yvRM*8S`lI#Inbm=>|?W6wdX*&QX>(&-=v~_6%v1dBym+WY{y9>j?t* zg^1|-Ab+wYVT9orwu_?!l}Zi*n-2eC&^L8m%B<+^wUk}t_4Px2sa%V74=q9V1WDn<2xp>sn6-7b7YCwzYgRm3 z)Hby_idQC8Ezx2e=!}G9(!5A*MaJZ&ow~vg)mZ`_a5J;VE?~`lR$QQjWL3=xlA7af z7}Z3nHj?>ug4wd|MJ4CGowXM8P3MFWd8{PtDE)%SF&^QbwSKZ%!eR*hA`8x~duj1BwC`8#@3Mu`=fLgbKL54pM!%U)x;9<&*E3Pc>msEV!h z?fID2&z(bU5>L~ydL44a29SOAf;Q6m zoz0a{j?9vdW*|`Gg4%(7cAYAVKu|@uzL?c9e`Ex=zV=b(sKVav&KSTu@Jowm+qMWA zB2dFeXa$U4mdsa?P>q*3FEy(*0|XfdXz_cp(*fse7!MDM$_ z!jr+A!28d``AZ_#M(Bq~*XD*+3SA2;Oba3)>Gr(R5yp6}GhS^fy{qdYcp& z0^+5jJRocYMBE2V)}w{fIZgW5Jb3YHrD;Lm|fWo|90A?!uO@%fFJ+!*?P^MZFPTHDBF->@NUw` zz9FL*Qid9I>Oc!dYDmT`1!HoZ<`o6BMDuEz2QOSNai==F+@HMhP?^{uKwyv_&kQ`g z{2N9PjRjcA)c^y59kfNtH;`Z7r(>-F)Fk(Ovh8>?Z^dT-gCH>N>je(wJiQ*dBP1ka zeYR~}1a9JUCAt0#q8(jUtY&J`!x)Q3%4zF5{^~>tConR|$&y#JA%s{B3QR$=s4>3lx+3V+O z3ewGdD=Tl;#+XKda7Kl;1WEJT_kn7N^n)8Xw-#40I!)jevZp1w7X?TWAgm<-y`k|0 zQ5(VAi^{~MKv)Dqy3Pr0l3F=*sT(ywcS8EJRvuxiR$dq9Ag6m3-Lq_R>WSh%M@^zJY!|Mve>3H~oWj^&p9HSz3rZQga+C%i?Z z#zfskU}ckT>18enapDjRofVOsTz2LN@M4=!171Krmb*P}%t+}S&;(V8SCAR zU#lhPJ1*uD>wq92)8x!5dsmO3aC@9y?&H~NrRD`q); z>ABks7TH2R*acutXJv!3hwx`TP0P+{0*Kof_&1PQT3!_7vlLY;A_tCp!9Qd`eJ;3+ zbKYf{4kFU&FQvr+apKD#WyS{fb_;y`<{v>c5U>e?%Rq=-QBEf{G?xD5CbPwA)gsp5 zLI&e#<_WIcNo%yOa}1Rsw@0lOx;!iYnnEl~qj2n5wsiF~%dT&s8YW^ID`7FBI&Q25 zD(>>DJ;m*N6@nak@5LLvO$mLZl?p6^08ReGLBx)URz{zJQua65TFnBadF>%^_ z6N7Hhqmeo*ga9W=Rv)V6ASv5w)();vN4{Y!+JJ50AzDy`!ivlS*-?qy-hR~MzBNM@ z$7?dZIh84l8oy4uSZ}91NVn!?$|&vtJAiPOO+9&7Zr~#RV9lnvSxgp?K4D`_lrPt0 zarXjptm(_Cde$HTwC}lwB`h)~x<15oO>5*v69&uun;bl>Gy6N8u!WWZq*j^l^Y{mGG-_mHQ)ILPw5Xw((YdG zn8yfIIIt%<8$^(4> zMMD~gp8-5D=Pb*29HMVNpc@0A4}*e!hup0SE?IxkywkA0A?l<)Jl#XljRML~$S5~g zXE=x%?OuKWFI{MnG^%c#FjCv)-JLW3X9&!6+YqlvSr684D4i~yzS6jSCy{D1$YWdP zi|d?Z@!U|6Yasa{iq^mU9jv85*bpC3OEAm(J`mW)UT*h{DviE4Lwdwh zn`a^TeQBY}ua~}qFwG19Q^os@`_u{GZ9Lyz7U1q`j6?O|Ka_b@f)6N@3TuOyEtBdz zH7fXDQN|uTwO)4!0gmgQPk>dE>$bHDr1H*DOvLxj#OWEf#=YZ_Xp{BjeMrV$`xFTf zQ3G9$dMyIOmE3OtkUYyvSV;U-#x%F0#6svill!`EELG!DH5AzeB6{12DmnN(eYxXw zR%8{#Fw?FN(JF-YD56pDudF>K_RIi74S;w*nL`Sbk$5y6Z1=^A+zzc%PBbgIx4k5E zI;j6j;-f_c5?5JxN5 z{~+Dqi~cL>Q_WJ-gc|QA+sTH+N%i#agG-_L`!R@JH&2d!iUfQ&S#75wpR*km^+;fU zudblAW>J;iS-#byG`tNWrG-%Wn_ts=#J^2TA9B)1J(ckQ1ku=>EcII zBN{3eTYhr`s6DlRzw#M%X%Qq9cgp!f`(iT_NG|q`D^K}S^;@I)>%t_aQf2_}5PT*> zz7$5}7+_4uQ{g*NU&HTBd{pQ<5;$FYZ>v@G1MjkV61qE^vi$G}xE$x=qFfXi@Qf-% zI*y2pNZk?;HJTBYZ3R`pv3a2O;nbvW8KQHi;6X?RFsXSAMJLeSCg zfNGh1)hoOS{(WrDE*QV>pDZ@#CogskeG@Z{k^BzG{T2NG8l1mHvivCgn_&M~_=Ze@ zNowDxcel*N*jZ~q^~)*aOA7K49$ja0nPAyx=Ed2zW+S_xi?3VHiosxoR|MSuk>2K+ zVyiOn`wi>P9h~NFTvn`zQ5&kB2Cgxp8n6JQoVOS1%x&?7&cEWXI#dMkV76gN))^EVf~G~%z#|Zg&kMHtHU3#1(>E@m3$7IXCFPW@5VDz#y4;i?#u3EZzCuJ z@Yr+U6nJ)-clf1hu1=bYM$SpbwFY5QGCd)I2mJ-hzC@_Y_?^65={di@`gekf>Tla1 z{mfpbG-7*tpAi?!uLAbV1vY__n~9>=23|WL%GR%xR_m;E5U~26d0O4gJX|eo3Yuo` z@ETo$s`V654mUx5PZG|Q5Aguu=BT$!e|4{OBG*oLnH~Tkl3R~JVLkgzNdio*T7+x> z=oc?+N>bg|lI@R}gyDMyq*f~d`?Jj4yo z=&xN??6M^2u%GU3-v)k7?|>s{o>#QTNTjppKBq_Gi&xd^3}3-LIsYaSW~0!vq}-z) zdQj*=Ju>HX-@s$ja*ZTn?;K1LmTM#U{SQOWzB+*8A8R)Y_>jhB?PsJHyiL<~f#PSR zRv5rI#Am5@W~rX$Tasn9Pso54uhJQ%rz1q2$`|* z2GJNi>|sN!hHyIQg9m3?&V7j3^lf5u6DW<0I*xb->oL2pzrLIc?@WafWFFw=O4qb| zS`#h_`sq#|7X$pc-g-~h4`^Axmqt!q0b7KgN?YQ|$vNv>%hHF7*&;{3 z%%g8*{NgME7a4CmwX3X=rPQ0&kGt}-KzRQysPYeY!9k5w?M_R9L2QT^2b7`qvtRm*TOg{u=W($eP2usM zG_w001jW$5?;rq??mNsc-#avf_`4Rn9>xBNapeN2e}|((XZ#Yy*>i)OD-ZDR`b+!8 zF6Z_Huy}MO4oS74#MjW^PZK`0HqVNA43;?zq^kN^ppC}cc7SB=pi@%Do?dk-ZxRed!f80R+w#n#6{as7+ z0seZ@mqbq3Jz!my;E=-;9ImJK z;yh)J{Em{C`HKodrf?TIJ4k950upyG5Mr(i zfE)-V#gIlpc!c`9JQKPiPQ_6;l$`{#rZcV4blzhEY9-b zTsZ4_f-mn#b<_@xy_bopufIX5zlzKKtn?p-qer=*869%u)rU2CiHIkrYzcNr%hM|{ zCr+3YLH(PI5fn;$DYyw}3RW!cs{V2Eo>LB%RiQ#7t9VKD|Dc$GQs6vngwaGRKH2(p z$)d+z_zQ6zwyl|?QBiNj=4@#t4c!lzL=wr8MpiQt@UCU%!?2{+J|P=- zcJc+Tm!3Pn@Cl{+Zp=$2;t4K6a(6jTd+93M$mDK<3P&KJCxKz*72$ z@?>@n53_z3+zig6gbX^oa|X)T-tDRlVo{F^->)IPVkZSUCYD@UhQR-jIQpD}Nof$P z4${6q)8$Th*gbed(=-Kxt5~cZ59P4l;~O$5Gejf1W)=MUe2%{xOZ|$6bYgnjo5NU%E3Rvh$|M+H0~V zcvCX)(=wi5hgF8vHjmB5SP%`&v}c%a1E<&a&N12N;>W#b4>>b!@4&5E8bzJcUYnG) z{$AJ#Vi^gKeXCsd2JpdFp77XIdV4)|nOQ`GPC(?Is)=1FDbsR0v$ttdSr|f#`6brR z@gi!qacZu<#0+Jq`>r8;@JH9bsnen1?ebe*OD0`r+>C8g z=Mrz@!;d3TB)WP`}5QI*P zcOQs-7z>H+o+XPp_@1TPHlAyidd;bJr=nb-WMtwMDcVi@Y4Mn7kl)tWJU5p_@rSD1 zZ#&)h5u0N8KNiTp`(z;|r z3Nkds0Cqe)TC+-q!O1#a@@DhS8AN93YK#P!|BW;6ioCUrsuOk40etL|G zzAr$fVgtDyz-ZpseLkm8ClHLN+&Ps1K5jpp_xm|_=O6DMzdPrMOrh$xDd4X%fl1u{ z{hRU~s9+DZsU=Ejxvb4{0et)i2CE8u8xSno2yh$5<3LZ8?+VFmd{pjF5(ViH^j>6Q zyKop!-H)8HxjZRQOwpH=_Mz^EZM7HctC@B==5YR25%ehx80n>j!&O8lUU?^5^cQtx z>&a!5BwU~`^xczaLcTyF?fTr+tiIb~zn^=z|JQvlNMH+gf8oE10MZh_p^uaK2I)@u z!z1|(n_q&?wF2l|8KB98!+_yfb#=hQ15$`2Lpqk(qA9w;q9I@UQOMGdle{I#Dte&k zDG8*P=zS{uie@(hVCNvYOFa+)o&mUM-@?n=>SAY;@`y{8TE&~_Oh2%sf5>@04Ww2% z;4#*NfK~ub&X1j$Xn30sCYG%Ul_JVAkIwXWj1pP^?f?|03Jrikp>g4V6q){YGy=(K zK}vw^-|ArM@e&AbO9JUu{;hE^Rkb`e1#~LmpjoL3g@CAo{#UXF(uAnrQ;mR_obwh9 z1HK74^3e$_0705|D&oUI)4TWs5D5@9&8OW;Qx&QS&Eh@e2^tVzLc!Y%_bJ#}?bVd< z)P|_+kVJ|Ii$$8U?QLSpIZ4$DwnBYPJp`ox-@V?pKgiZC{h^0Hc!88Wo}LHZWM)sg zeW-!Rnhz%tzx=Oci z*TV05ottO>N%{D@st(dBgZ19`vjQDTHTpB)z=GDCXtW5-AjqEJXW+s8?-ShTJxx|G zsE(VMOg_`_wtM5%~&Lwe*%SA)6K-BM>nr zBnr~7xkxYd0r81>=N(DXDzK=xNEh)ZE&>TsFi7|rm@PhL9=jOTXxBCvRra*9%a9O4Ih4I9?6b^&&W!9Tciy4i=@L(Og-9$|(;~z%HC@&=i5C zExD7b8gEiD8=}M=Y@Xj!D_e%Yvh957{^iSF=BaoB1c-R&@n|JHg!9sP0~9(l1%_KF zKEY)m+SESHlzg~8GJnZdTfo{Gf@9tya*%QZ+NLq^R6hGQ+^0v@A>JxKtI24})bNgo z;3K0lP{Y5zx35jAlK%sn1#~vwCU<&_#bF_WO|Tc|Zi2Xi)VV;S3~*L%3J+rWe$ABK z`3wlEiy3Dak5!#zN?BZqwAF7+CN?N{Q|kyE)L}qGH#|w-5VO3T-MqPJJK0?r%iwU8 z1K!WA<4cyf;Wwx;gVtyyq}JBvh9!~eT>)x!HOwBIcjqXK{wK3aR*`=ZS0`|)6joJ% z{%-TN1DLYCA-PH6Q#!p#Gh@}h{RST^juIg5@WRk%=wt%4Q7*|&dK1M`g&`G4K)*NRaRgzV+!uhaJn0H_d7B>2-|Yc29zz=Ly9JwEU$}@(x5}+MYpl$J$3LIO z>=fRnzEJXF@vGtVT@6(2xdWHZ%6ez_;LT5i9GblL2m0jh2S8KF>lvo;qSRV(rJIEpHxl0WWQzRCh8V9ZdeU#O*8x?YUnSFVHoj z8R);ysXe;1I*_?Az=S}W#Inikoq~x^XGLIrL6oBU75AcDwHK2>)$o^&-pLB2w%cyH zd0^s&C#HH}wjX$8r+j+ftdM5OYy}=PR$7c0rfCA8UqY&`hRTQSQ4Skpk-dm`=vg){ zE-jfuj|Kj^f|vLn4Y4Ug{%PG&>Fo!_&WjS5iVF_32Hpe@z{y)`V4(%XnPdoxqd+J_ z#bq`lv=&L;1e99lV5Wt6njYk7`^xuN1kSJ5mJFu14Aa(5@Df}M3AWGBcvmG2cGfv_ zfT9+txXT1nDpLfK&ClgI2Xw&`?4G<~HyO0ApO6N>qUa63m_lCqI4#1_Z%FV^vRcgIVPwW;Pq@ zdBGf&GtqtWNcBi?Ac@>5>MZjLPyBp`UdW~(6yMn&z${$`LybRwhKsIhtQVEd7$Wz0 zn(h}HkvG6S@MtN({EMeFh$;#J(NP##G(JEp&2oVNj9}J4ktzok6*ZDEr93!a>OOR~ zz3Tok6HDE*AnqFyE0TcUK~}93?2}eomh$g61dw+IUBtf@N9Zco=a6hnZc1}OMiMw3 z)RXv0{j&9ypd2G=!rchoF zjzgoDG-|vpmzT{s$Sm0{#RIq(_$8fZ&ECGh- zD3h5LSLtgn4kp>4&l#EpW}_NQ<1LX?F zr)h-o|}Qk!q0t{w?Ntf*EW4$+p$LmKWxHZ0AO;!I0h^|xy>eCX&8vrBhD*v%Zn zXw&wqCL+KH)8GE;4&;5p<{bVzVZ*;!1ZcrUYiIv*Z)u$z`!bRrGVj9}hNt+2h~inX z9>)PUbB(u|g}yra$8O2>EaRbw9_h94%ld|aU>8eMwU-DnEIgFtRujRj#3~IJostq0B=`a@?A8iQDc)bo}D?O#4K5qcZY>uf9 zxq~uR)CXt zQAY<@F$0x-tnYKlSxVtY!R$Z^l}ciHG2$w+PL&6cN&STo(__XiT6bAVanCXo?2Ed!1yc@H;E&=up39hrE^zE`y z{x*6lLPD~yuFQ)##my($4magp@3OE3;dOy|4{tl#otE>b(Jgl1vk9OusmK>H$9B_M zPJdNTQ)N^K=!7w#I1Lm2;*>N^SOgl~Z8dF@-0*94lGD6kbGiBjWM^4`Ed!<*M+Ckc zkchZbP4DlVxk{zl;YEf@#jy)>ZU0cZ&}~KBRP5rk<%*FfV;hVq6Q|2Ff$r>@LVu_J z_!mbC03b+iZ+t&lzw2H=43KUTK54OW&TG6|GQvRrqplYqX!e|4PBxgA@q`Q!Z;Zdu zArg@_u)Q?$)-kZMB|gf5Y(fUn&#eaJaj?6>KqDJ=i(#u|f0KCVhk(JYXQd}2znK<{yn2^EpA_9D^)W9@N! zyU@&fD`g>_?<`~D;_&SRH*BDuv-39}4#bM6JpG4{K-9~$XER-*QU%-3>|AT0P!Jay zWQ9Lx#98{9lMPqm*C#I)FuAmt{KmC=FMbHiV+$H79CEvSR%BKO@dzG)kij~l{3xo) z2QT1n%$V?uM;O@0k37k8qGGQTGk{z<<_A5GMcU~-Wz{96<+}=m;=*_2aghNM=%Bn} z(389xemCJ$`n|SSbhmEs##sWnD^W#)+p4-NyzqEciZ1MnFHs-J5*SUt+Hf6Dpv=PH z#ywXh0?<)_(vLy176j}T^4F-B=APxwE!)SS3w;5@CS`frU zZO$5hd=E-^VASIB{@tWKS=$yRWH^1)CdEO(%ap6NRXEiUQ!tyy@(RB@bAKGyyv$$h(XCF8cbcJb{rAw zPbo3l7Bg=Xb@9k%T=CmP8hhmjHwMGx4J4*mX6&9=qTjd|(C^AyK{;G3D+^rD5< zY9M-A&f^ebY|M?7TH7v?!OmDobaEMVO)oR8wzx)#DznX<-iqIFg~5mDXa}P!4&{R8 zjHV0Vz3EPu@9pLQs}3FMNWE%;GNS?84G$vkD}_L!*-`>n@k%G+@&=`ozC?{T9Lk^U zOp7hfJAE0oJDuBhMp}9x_381WsYzV`j+^>EXO-@i1-x@p^Rdo6{ zQ#dB>#3iQ9yjQe2NxXgjZ){3f8?<1g8Dp*BW*jYSIk;4MdRC-}nPyp7TT`gBj(boJBf zMkcRF#H%=IbhKH`+G}9dTC?{gE7RKXF(1J6O_LlrKt?bsN07o@<1MjlbLD$wcaNzx z06jDhND@t)`Pd*j^%C+%jT04Udv>=|zO5Bd(@EoGJlf~{T6gojd#-A%8kcw-zEU9$y|k2jWu5|qTa5>}`49t0`$F2TgqeuJtRBSpO4b61-yF0)nW)!Xhd zE8aumL_Ha19A?itHw06dkNcLSX&H}&fOxa+(os5@bwv8Jv?(k9w3?OtH1xI^r)VJjHrA;35hRmi@cH-aB)7hMNlshOwv z0>KKZ&7GapsB_$x#CRmS^-!x<>O`x!lkkf2Gy_o!k4M`mxhp^x_>+-Y(Q(Cjjz3v@ z&}scovnnwC`_{_t|5&@=8fI=ehk6j1ffFez9gxY%)SBn%_kDkaMLUlI-;9YkkjY3{ zECD_wN@@WEzrWyD1bzfP!aAUAq|ctYcB`FxY_cd%2f@Gdbe$hA{^S<2^$EJPX5mzy zKgU+nk^<`4*0oLEw4FNcY_+~Z>#b$Cz**_GBI)j=UJA!LUd_G)+Iv6F zC_^x*#M;P%aL(Bs)>Z#YB1Md~gsxJCNBq3Az!sOi_BsP3amE+d%$NAh1gOkLQb#V^ z#-;Ta$HET%gy{U&1I$8ttdx6@UjCO+x?91?i3>tuI>pkne!cg6oFtyB8XmE&2MH+QE^`_lfNATnwT&Bl`nO)*#t_urxJ=g1|_3M zX8!xH$|9$iA7*Pe#4uvf(e}`4t_`Ko zn^Kdwk$aXAkw__xjoC$CaA5K%z)6_Tf!Asg88Ny6Eyn{0gP%m@Mpgm4**dNsG*PR- z%~ub?y;-1Xq1QR;zQG9G7q>O7LeO0{ho5~F&NKPMLtc!NGAByYh4Xw@7A~@zg5M)y zbx%n#1@-pRB@G4Zha!7pxYPXCmZ&GP@Ato-l{b*yb-mA&;Magmqm->2_pSyl4jmz< z@k#4~3Th$YYO<+!opVGC!>v<7nFAfVx~M=hGSKaZvOqu8B>*RIpXM-z5A&i z+tJP2%OsMmIV1j)x%yp3It@nr%Dv-yM$Vn#wh730WAaQ=00^7<#Ui zQxsLzkh;I0f+9!>O6H-nG8a7)X~nhk`sO8e&J%Rgyxq>M?<5KsB$XYT3hQbT7iuGf zllwCKe6*Zbx#M_LiXyJfgO=zIc<8_0&~lsXR^71DUs8wNuRYep%GotfR9hubCD@}S zw=*uVAd>yakHec(sWAyhK^7|oL$!E3knOlq+FA|`W7zQCe?6m);NUB9dhVRSq)R#dz|NvQ^zy5Sf^Jk&4uC1*5As`8{k ztxUd=P|d2jMl$xItvtNshL4Q`COxm&K6k{2+Ads`agSxDH=c)4d>h@ofwRxv>YKuj zDNb$&HI2O?;R%nmEV`DkjVr$s#FNnVwYFw!-v0_ch?|9hYpD$wuQaguF`NedrGh>y zG+92&>9)bv#IwvGQvM7vlhZ4xj(J~PWUM))NXz^13I5f-ySIa)bx4%X3JJ(>z5yLb z8L;NV9uG$k)|q(^I_CH0xz47MT*7Lt=E7b5d!1PpO{+600%4Sv1x?|9Vh!Uekx-WC zwZpJmDN%OVkj9fNw_BGp(stk7mk?)`i;L~;{^bl z{tLwhXj4?g>%^(^UPOICXKwS9t-q02YUaQD1>W1PpeQYu=C89vJ63U zZ1GZ7$9RFy)~FZ#;^(C(#ptTY;_IbZfH_R_F$^?`uqauOjTSPGk(?qh z7r}`$^XWguM}sC*Z{Nch0r+X)zsVQ#vb*8&lK9E9`RN0aiT9Gl^qNuNEdg_^=ot(> z-OK-vulL|;;$PdgK~z+liqb+6X(|GO)KG$=fYL-%6aq+-8hVE$A_5{!y3~j?k={F@ zNhs1wAoN~ChXexT8UFj;_p{%<-t~L}U1a7rGuL&V$3cmF0)6yq9&)haJ-W0YA7}tR z-Z}0GY23NH?Bp}6EDvCn4Fj%(3p;Ji3N4`Cz zW4-9JA3831$UW+gV*IDynE+^qbG*>vcTHW6$`p3J@FEP@R|RS0-7-oVXeYM&cC~3z zW`QDT)wC=X(RjgK4Oog;`<3gDir`%+`WIMcaAP7Ad^mgc{ZyUD0zZKg;0KmuMT-ka zhfS~WgGfMlVgqq+R&ye1y-b0hK4dKdby|jU)FiKjsoroSSj;>{5Ca&{lg6P$ths(PzMMh|DZP3N#tWS#d|_@fm50v^@~DWE*zXH&@slLKN2 zV>rutCLul5EY0Nf!ouEZ_K%?s+oq|D+S<hEK|G*GpM zKLvWNrM~$KAz*f3hVfVABG!5ctR`H!wL=ExI}1QXZ4h&|0cOhhK)D7yHQ%WOM_h7w z{?~57m1@FzXlz!R<`QNSC(0LNInZVwC4cPQE}TPQ8lu-F0ND` z;A}F0rrfZxS+!1qVV&(BWe*Rh)~zP#*YDN2^niGV*%X{0;UI0?bRHDi_(cI%osxCR zj%5MAjk2#%18iiWjb)q@WE&oAt7VonYE#Q~?)&4s0@kiAW?w)fJgtYOJQU>kr@j5t zTw}oes{X)Dhpxwi&gTq#;*YawPf&nv{@rDOHni~3hQ#Gi4E2~X&m{M00Z!ycx!eZ; zI4E90sem%#Y(+5OYLi-m5KpL)$IOKscNSmj zS7Sgu+;*PBl`(DT3#gE`Syg-gt$3&%-0xY{usMO1?`TQN@V7s z^gr1oUj6=s5dDpR52=lltDx z^&An4&LkP5<$YbTr5yW(wSxL65j3$otacX&OBgP88P#&KInE_z|8}``nW1p_O!;J` zSp60t4e_qv045jA*e3ISgus_2x-`}{1`2kd)cfiT?OWE&655E954mJKPd(Es%ma}} zerJmgf!gq?NDu?}Hns!QISZzeV+HqzGw&@8WZ!$i=%CTu|G+6(eSnb#U=N%XEXsF) z5N!Z_Qn|f_LU~NuYDKJC^?2ICs!IG1 zaPg06UDgQQpBFi@t?mz&S{WGr@G{#WJ{4OZ)|&sjcv8yXT@LkzbHz)L1P=kmF6{gy z@aZND0EbGCF2TE^HD`UdT|B|QHX*8rm5ey`@F)mN1Dh+yG#y0Few-l$r4#r9yRCEs z1g04EK!h#!HE=5}{F+PXxEv}BXbtPK;rQF_p!{m>shjWwxuLu5ZRT(!;8_F0nGxwE z5#hleV7#HF;VZ4Bu``QF@4EF=rU6?2{&NSLc*+tYfO8aey-1~Gkd?gSy$;^E? z%W)s9T>6LwPvP;LhKHF2Py@{b##OmfSP3lszkTUOC z)WMub#v^48NZr}+;J#n!yi^B7Dh3omE3=+E#Ia4pw`*yw9etP-Zr4?}$VB_&f<}qS zzP1RoHHYCno-!Xkn~i@iG}~E3lq(T*mTqq@O9&KyT{od|da{We3l{(;@QE6x^VH!$ z!flM<;<7l_o<;F`tE;rvb;S#x=K?RKprjptuC&U*(y4}fH#{EZ#DKU_TSJ^!&ekE*;BLhO`h2wy1;!SUN)X=Q%i`37cIaIy-lb`0)Qk?I8I zvP<@pS71Y%dK*{7VHbYu0@W#c;Nh-LFoOO<6#=(jB+b9e9{)we+$^BNmdeote>07| zxVstH2v2c`j8_^ND)+Ze5S^`b-py|R{oEc3GT?q6&j%NVcf2&=Fw*c>ZCNK$Q=Lbir zzkWTDeH*n<86YGMPo593F#=9-#!{s}?$Y;=sUf{P5-(+gDY2!sz-`R$h;9c1Z9V{K zFoSEPMgbyz>8e&yts+ z7cV|Ibk4Wwi?Tx28vfF*3$U#`4JhvH_U-_zAA%ALV2x@+pNbH+?Y#L=z|6$6_-y8h zkd05&8)S)Rk5ArMX*Wnh3*AnbZ&Ai}F6y)Mf?&nT!xtpVII0Ws0xz!bczEd5ayrX* zOB_I>m;p;hI=kzj_6O;#g05>58;+W!Afv&k^!PNAT5U~G5DZQ8?r*NxJ3OPUG_P<1aH&=KXr>6=h%-iUHNvZnp&Wv<|4oVFTN*e5Zhg?EQ^I%B^4s zhfqpm?`T8sSWSAKREPn`y~AINgvFQbRu%S!f%5r^aj zCQZ)s%j8%YS$QgR$;=IIICTVJJK96@V;*X5axaxGr*Y&2FEseEJwM^mibhaf>;!TK zLO_NgoR;N5L*|9Pw-=WWRWE}BIR!R(uW3zx-(*^{a)Q%8ai|Q?Pige1mKJ;I=Taog znf$jqS$6EzZRNijiIN7bOzP25TJ{ACSvh;PD-y;^evjcsK7sZ6mg+P>)f=cn{Lk5@ z#|q6EebqVs+6fpL;RZb@;=@ZH2g>j|)h$+En_H@Els`&##S*Xiy50l0nI97MI+iC& zdKAWfM6R`$=Kr~RF@Qv*hUOS*G#kP>Tr27a!RhhPY?uKf15C5>qK=8Y)`N6Rvnr?p(*tCUwYsfb!^EwfzOGl=Wy! z>*%<&?=>q&k9gUb3RoTjXO{F|_RJ_Rxe5D6wFm$;_5VD=C~QU@x*$HJq)AWD5nDJKvYcrd~4kg)HfG04Zi9M9`kGhb%a#hCX zIn^CnjtgMMk%t-AuVVJJnJ^!`?hM?LvFNzQab3CI++A@CBP%xIShvle*d|{X{y$T5>rb+_d0d^Ekre`JzM z#0ocqorZ3@w`~g~iBNMn)s}7&8LIFHHR(?~Vy-9_urkRL;b4pMu@9;bDp}A^5=-7y4|7L={8L?(i|R7ZejGq6>9R9<+C;cFPxz z1ztz^827x-|1C^yRD~O@Go5w6a64Z}8pAWdxAjLGdMv%n9_hq0v20FbSz1HNCF@O-juQyiWk?AAAkXi(L#s9$aM!G))N1#(Qju~n3C zNOY^f#GNr)ef{zYgcdAuFcw$FP@-)a^77z8Uni%q%6k8b+2!+Yejj+w^|u^3=AxhB ze5h?Dm$@|z?cd9x$0t=Rbg0j912I2n)mlo;Lc*GT^bscMx9e-&71v!Gz05@$eKptg z`hpo;#YKR-#qfl-@(t4m`hoZf5hb9~`2F97x`b8eKOKGtA;LeU=Tki%>;t|0&ib{z zK$N7M-?okW+Qx~3^=C*RZQbg0h=0wXC@iNu@BXHjv~{SyR8p)H*kf9d+dHQV%t`cQtK? zrG05-<`@9!lyGc}n0L?Uf$gOQl^1wi~d{GYwGy{={mSNSiP&e#tv#KQO`N|Q^ zL~GfaR_ul4;k?8{?UzmN$+gsBwssEy^9A4Vcnbp|kmpn` zW~%^-&+j6`P<^+941mR4$IwxLjJ@Pl^g15ir)f|%jaB`j5$w1P@RYh61{QiE1eOuX zos`4Ghyd_6J_e6PpfU4p)W}CTtu-VnK%-l-(hV4VStdST6W8dG9@Zc5!u?1+i^ZB7 zFFr_KISmdb0CU8=`N#GDvh`X0cD@PRW55gjxY}8nkz@n2{9*1Dv{`+7&cCrh@D2?c z^pt&iGL#h9NQP$gHMh5fyU#zu{jY^)AJ=gXdoV#T119e$x%dXl-^!tEqrWbI!IP9f zOTJBbsu~SEIw!o{DOUpn5>10RFX957j+dH8ru|+H>^6zR zApz>rXT~aH5_`jv`W~|79BWqcQyiCRsnW{_UcTys?lRWP;bO+?B4TFK-nc50`6l2^ z1`O4-9C;#Zmw2M3^0o3RG6d80h&6!z`r7I@dR*asyDmLgdeE^+GS_T{bf#=ZN;4LOMO?Fv#77Bgh6eE4-EOhiF;J&A2_%{yY*to!G-Hp!p`tTmCRi#EX%~gEdEg}+mET9 zFG9%HeO?tr()(AS8uy>3@zvxhpceQJ)fJgVp4xRmE=>xZkQDhbvCd+v>lE+GC*(xV~Ep4!Fiix$w(LA)sY=IhE_JkgaAg6!(mCk z5)ipOqc8mTN#w+UJxOxMm7_fHzy!Zt|LIzU#dt@GuD7fSKw_*bFK#IFqqn;k$|g}} zC2I?A=(bx=YHz!TaK)s{a=Coz=eWNidgXnThGYbzrgY=*m@!;J^6~qxS8I^P`uupt zOs#W2`y1}UmcPBt%Bgm%eq&@{om*8t_!e&P&b3U#%!rD$LT&O_ftio58(Uu>Po#TH z0qomx1fN(+D{0Fl{>MJ9_tC(7?&1kBKO0E5Dmic(=z^ysPIzD%+zs3uPXTgSs?z)l z4`)lL^M>ft%io79?2Yud60J(qQ%#NpYZA-PILK1d%spO99X%6Tgt)yZ-7_8@)a#v; zOo_RT46%1^p>j^7Xku15JW0TlXIXC5yT5x*I`e#=BW-1-u@y^|X6DM}v)s`?IX%y5 zwiD)D>TXZ%-p^z4P3DuP z-Uz;z;wUewy4rM2cW!mWwRzpQ-~(~mcg#EnQ`4>ccp&zA*6ND`pped&rP`(FDu2u= z`912aiCLMqT(YikxJJhdes%;~ky!|+tTMv_$hFxDkc-`sSL*7$AE@d#C2ti->kn;i z^b^xlTdVm8MTsj`J6?XRD*#j;MmJIA{EQhPVD36|uB-F$c1n_nWz?$P zE}+A%CqA1LpxZm7`D%WUB$7VxN4ITeUtcZpAg$~^JkvasWAHg$zV`4PXVX&pJ1jM- zSFSADEUgLy4Y@^N>Ck=FWyN$f{EdH@*W3%>eo1A?eHTNd({`sh!o?MvdQ*Qm|A_|S zZu`VJFLlQp?k**wT*|EoMc(YmEMP9;pAvdh?Zf8%16f-U6%OapBo}K&E1y-?;*~ev zZS~YCx5LXh3KtqiKa1+xXWm|UUq=JKr^I|uGE!jxWq!; zm5e->Cc;b89;)h9*ue(EtcP>0c=#_3sI2s@I2SIiWGJ=Yc+mlxjxX(7Ui4`VVNF1% z+3LLj3t7$ehDKQD8oL9|fM;jr59)rh_rhydF_(09q=}l$(f981MNQw;)1srWJ4T+k z)AxEW5We*_F_ihCM=ympoKV0cD7l{Gd`7{I@qFsci0ljg4^)5Y=s$5o%Yx_Ozy`{6 zHNtf9C>t;qk#+ei-KHP;G*8f`bC(L#YEV)<4uAMKxco+9QDHv+!2IE(MpsEN{RtAV zrM8_le|iQu8yUK-qA0royK4X!GX>MK>2O~9DdqAt{+=CZ-?543W^(xa-hiH39atzs zZK&5c*6ZrWws3VJ z{qj<-T+86=OvcyCmuO(k{(2O9O{y%yCIotsR*xLzp1CjXAf&bS@g`G#4C_f6 z%mnurLKf5Vnh<-uinSNa5?|r-qed12JHDNkDUqpDAVgz4Zk^$4Q@KR-6o`gyHT{)g zo#!g9DPaK5(Klnl8i8VyoQm;Q)f|-Pl-3uM;Bq zF8&(@1$pn;lSi+fU1<0(1cd%kgpG6hSWLJo-U|<#$I+1CPZ22)E%bvfC5^-w*^aoC z(kH#iE-r_zduMD%qxYj3U+?Olg`H1URhz$PirNJ+2kcs);KOX1z#>oAby;xdgaG+< z*mrNJzh9koSXq2Q=5RRMC7Tg&e6)pANK=5OSZpfzE_~>_JuYzJ%UsjbN)e5YxX~#3 zdb(A<@g3R~9ig8y10(5aO(N;xkkd+yf%l;T{jDzNH#|@LW|F*U3fmsn@F<5oa3Icw zPjx2Q*S~;B_zb=C;YVAGtm)RPg+^Vpb_kU|{wCps4_HeX2%Gg;yZ>|Z-KH7)K1H=r zr%{8%tQK|^DXZ%PG2d>F|Hgl;QIA^iw{cwsK7oa6eS#urqM3h)PhI2bV`*=-6hzDz z0oqDB#lColwpIxqwztG772#>-CaHFD7PquC=RXfm*^}>g`@)FfT=%6X^5L?qkn9(n zWbB;S%z^Cu9lXz=d~q3c(6bmpC@~vst4ffB1OJI3LK^1AO3m|WJzvQY0n0k6!cFS_ zy*=9n$o3aKl(Ks6zKgO6-D8JMN zR7YoN=8|cV)n3CG&ODL))asmE6!H=1$uXT`mA5kW#1-<_(qxQnQ&>W>LbTKUl@I5 zY-trRmaPFOVV*Nv;nB|OM|1n$!kqN182OgQIHMX6?E#|aWQHBkBJDRVZj6VKSO}Ou zC+egacuM`Ld?QfQ`M2uxEVS@H*{}?Mo5LeJt2Rz250Fe*m0SL#PxG|i-58t2w5*5c zJe=g8&n*DW_lmpv;x73>S5;=GjVI5zr6BBnVK@BVbC(iKgmb351k5Xd9SP-G8OB@V zOT%N^qwGssCjp{v`YBaYsWz|;Ej-9GjifiLe$SiM_3K;k{`U~G=Hny59zOHCtfQ^+ z<4z2ObV{Y<7?wQ=$MdSaTkKh^Ed^;Vf8#$ifH{E~XdcvaA!c}bH-Mrk!e-}_Yk}oe zz_wb3yV?~uW{2YCLLNul=o)DKsywD}(-r-tINvkkGb*=ghsdavb83GZ!!gAd&jhy4 zm$WW>lmix>#!b=Wa~LkM%aA{H+MXAfqHkgd10EkYM1T55*p`Zn?0tNi@B5TKO4?)@ zx)u7NSt3l)WI92_67LY^tX$j|KcjE{m2V*~Yy|T#vt4Qm$x~3f9h-#sK%MRGqA#=g z=`xNo;Vw^L&ye^p&B4uZ`ZuT79q_vGKR6$}2fi-vK?lAqZ4@iS> zmcmrMoat5k@E%Y5M67q)Noh0HezLEdbca#vr4^aWP#F3J6cHkKi%l%H#hp7Ni1vrHQP zMEvZbr8T{BKM`A4#NbK=Y3j{d#EiKd%Rzpru=xMIcr~|6S^jz5vjkD$O2U%#bzq$T zk0Kp_dplb>{CS`OcIkDdReEK$o=Quc_BE_rTILzvqMqZDBUCLW`Ez*2b~BwiwrH{G z8IFuY!fw3CymB?OCZnMkCi0w`Z`Rn04O-difVA470+f&cKbW~#ru5Sow6g*e$fSgx!^*((Z0MXC@wJ^@_>rQ=R z9Z(qRZpFSd3DwK1S*O0;U;3h+bn5N7zKsOJKx`mr%|?O+uYKiedxT!AGJiD?OguV~ z0+xHjV6|>p@=H)vtNZ8lv0J5lmgwHYbIMd`HgU`MJb%AGZgx>oym2d0!u^g-vD5Wee5`^}dZp?>`cbTl_6L@r?K6@B4 z+CRHu5?3J(Rm%!4?zj^MKN!uT&DE9!3i1}9?S^G~aO%7e?9n(CVXGOJ@LTGNfI84q zF$d(;{~v=JkY;Y}!><4@2MdABI3t!l1+OvRmj}*+lzTya+W?}YmAr?M@$%r*w3}hW zm-E6tFTnUdJ2z#V{E1`>0rSB2a)JbT2EU|bwXdnrhEOCt2vce zat#7-f_`RThR%K_6cIhW|0Mb8m6dObeOAklex&x;CU?K0h*n@#Q3+NytyY{1cW=0( zO3Uou^6>FAkhqd0kMFGvU~VyeJx>t-F0Im7*d}D-LVS3fpyn5S?UH!!CB|(B`H3Xw zp1D00|D}IHLH>)IB_sp|+CJR|8xd3t^7@)`WihqHRU}=0jCJ+%GFoQlE**}OV0F}K zkx)Vy=ZC<1t2Z}kNtdp7`)XTNe(=mc;%Ytwq*%rdu)MP2Aqy7A;_6)V=|yYz+F|av z=V(NQC0ybuD3Z&@^h+NImKke|5A*J8s&KK_-0$##-PBgax$s)#EfSa>f40Qrni^ z@;>&Y|AV?`GyLb+oH+LN(P9F2$+bYBy=+5XlfJ;eHA-+@6@K3PW$hmutXwuq5~k;I zVHrqS(FoQP`9VRF^;JqnJOM#)N=AByE)RArV^OG|4bnHMtyhyl(!7n(kx!BX^cB(uUH&{eSCa>kvP~9n6H70J&a1SrAZ>WHr@=WB8NMCQ}^mjoz#!Ta_w4+J;4MS<#na?CIxfR--mk3`u4l!if_=waHN`K#|-tB{(`Lx zL*Wqdk|W&_Vg?znKjzW$`mD{Y(DNjWf4P0_%Uo>7lNv*z`l=V#38C343KiWsfw z=GU3&!VkS?%6gl_z;){02Xs<0{eeIgTpdrLP%{&qA3(jv5)(gD`O;I~i*D zeeCImYu=S9D5+hGoTcpq8!knT;5WE7YbOMP^9xFyy4DQCBW;+Cd|rRy{%U)<19 zy8X@()l~M(40k)30px-zvKJ;#}68MAtz_&LyA66rd26mRGjXD>jD9M@DR z7v{w()Azi|*LH;>X=fi#`n;C_iQWrRQqa_(y;P7pNU^=2L=Lt0;c1DjW&5gid%JB_ zHmpzcu}|_mwCo6FwZLXtPN<89c8;h5*Ba%1^lCr+r4uYK%Er?n$tfAb{>Is(V^p{4 z8D?kNquy=^!}R-&Qz*o8t2J@cqeNn>v(`Ya^`pRc>l>$qYr6$=ht9j$Y}jgn^YivH zTj2!Y?(ntd$3C$ABzjK%)9q6+Hnpva5tHC==LdLsQ=%P0f|#^k3^`T`&|RkNcs97r z8-u=+fejXK?5mJgtt{F@ptz*_ zr2;94{`%bsZ+x{)LAjc+0wni7Pqwm{Iuiaufvt(~Qu+GV%krlYqJfUergVt7p?iVs z{aA&a2!=8KM7#M?W7Ws7(js8QD7jZHRg_nL1ZAP=Rv@vHR$ZlV;mAE2(%K2l`lS8I zV7Z4=xeg`VjMoHB)@pK=kTk6Posp}jHj;W zM?{2ydlzg&WupXgI`gPz34%5?I^5C4f7%rRGN}yZJw6|3mXJDJ7HkS^;c~WoT!P3g z0Oc4xx3|u-9m=g*$RS;Tkvqs1KL83KvPfwfEYWB)=rS ziu0jf+L^H$d2hb_Nd;9LrCB+6Fh#K4R57XuGBqk{XB>A|-`(znQ(q2^FVU@>9N(;w zzgH#cNOY227`ZlFvGh#RdVb`G*r^`-wn5VI0GtnW5>&xN`oqSmm3%kLX>kW~p0I1(fI)O{EJDLT?-a_Oa$(2M8!d33+BUd3%h0oQ0UG-|59 z9x+$3o$(doqOs27s&IqnAl!C4kT^-iS?5E&Ny!1C0i;G*UWJ`gJ#)``O3XJ1GU@1! zNOgc%*rS;WGGX#Lwt2nkZq=eW@MmKB^}$I<@)f%bQYO@lIg0+x!>t=-fB|JD=7L7k zTh~^jyEAis=cQb(PJqruZ}aYdq7lCItXK=asx#xw2JknoxM~ZSKQG*#xK^)pjzR9v zf*(3pavD(^+q^1uPS`N+#i!7$+T+*P4JmK;&ZWHMPY+Xj$2Xl24Q2cZDhyr+o=lN8 zcdLd!d|Bw|#IDZcLgMg(*y9E-c8_v8=^0y67wXh9TW96_I=M!u z-Su8W=C`Pmp0Y_&vJEv?!-4u*)uz=j;m5=E-bsrQUlON%&AP`&{6HQWJ`)MTXM&VR zr**nZI4Y(l6iB0aa3A7lSnc));FM3qlJ_6y#m3r3b7Oxz@@r}#t3ZylztNx>w)oarbN>LkQ<-w}_q$uGBuucfSuJQ>y~ z?AdgCp_;#qeQcq55=c5i2Al^WMDw7#)!3+cHl)xVjZtkmVnJ^_?j}gvaK8DAHqniK zn?ZjTtidS_sZaSHeA7CK1n4_HH^i)^5)%SQ-|Gk)&-IJ9p2@oQW^9mqfD`^Gb8L1^ z()+ho{y1~wd@?>Nd<*+{!eXbc?9dQV(JAfNVj{axsh?+GV47#w(sp#7+viUCtYJd$ zGeiEbE#|!Ro*7Y__-}6qWWLJsaV_0u4ze>*S&dQ$qrh`E(wd_kuU8U*s{ptZG8l6x z{^KP@aWSgIsi8hh2^@xM#&(b$X;E2T=aUQI$yrXn5~iT~Mg42E?lzU~>f;d3;8*l_ zqR3$tje#VINTK=wp(O|CLL2o85i*JBJVXJvk0J0c0LMI<>7LR;(4DD?nVYw+>mA>P z*6TM@I~}e$`rMCu!Wwn`O~JOVd?k8A4fAnC;K6MB9PlZ_etJU$yMt9yjnoF(>JKM7pEk2#H#=EH`xL62YZ_TY3RO;7k^=%5 zP3L%)9zAnsi&|410eL$WF1VlTCL&iONgSJkocZ(8f6%C!)n`keKo1cozM}e_1m@mY zLd)MN8Om87(lsoxNA6~ESGf&FNFAO(3|CmLUG)3K@MN-R$peF0;6Ri!s5*Px+wkjy zvhN>b0h(d`Cd|7&*`tZ?pm~#Ad&AQ6B;ygihZagunQ+l-pWXqE!+ z*~OjcJqhm(|2Ur)TR(c%_(s_l9cK(R$7P?G0Y8``sA03DiF$=En5&{hv!=;w0~r83 zX`mH#%o9wypM&74d)4eEP~=S6k6Tz-yR3pSq9_9{JBzl0iXPl&R|RvS*2u53cb|k8 z&`B>s*POSWN}7ypCJ}TeHhlUwqwez)+9W%vzI=P@JjUxOZ81Exz6jbZ@jHNEy*OMx zog8PO%dtkt<~4gB1988%`L#aJ^YJT`_!U2kk@?F#BgZm=@ayXeX4Rdd&i)gepMnUr zBK2!d_3yDzlKfiHRJ^1^@8Q7|`Y7*YD+^MTQ@?X_ZO}?&%xoYOHW$if*oVmyTzT@Y zwkddusHd?>2^&oFGmmEomf8C!fdhmya$c z4hb-n3|Wj`k^Dj}EvLvP=i%^;<}v>lcU^{%%5>7JwP=UZ>C$W=Th_a3o|FNl%Aq6Wl zb_epZSM3A|_z`LFTg?SUa016NV`mNAY5%9Y(eY={EeK9YN`?}jSwo5pK2C^F1B4ki34_+D3Ik|9s%S99BDE-0b$ zN-?%T$u^&m87C_yi{b|+_uH8iniuvIq_F!^Q&b0s3X)K#z6x9NiRP|?<7?uVhj6Ce z@KFmVMfRUlIIR7r7k^&hobD@VEnJPd*6}M&2>bBb9Q%Z>zU3cpLD31Q{8-xjR52~ntBV|8dgZ=PZveR+sa0P(^B;)fW zEhcB{C#fNd_#wx+h3ZS^Xb*X@w(xov!8eSuL!4VD`6_x!e+F)Kio`{zpzv_K6Uc21 z1(j-h6ta(CDY5AC>iIx2^9a)_T%0-$!&IOvPF0{5fqSx@A9`v!^8`UT5503Tlm93R z|1xt=)q47LX848~req%HB3ro`?>2u8J4SS5sM*}Af8ujxJ_EpB&Duv;$#5Kk) z)*cV`6WCf&&pWrhqNP#PCi3s(!S^Jvl2aF6ZoDMHwOS!COz6XuXYiaJz~Nr5bJB#IeV8F);xuTA33 zP=LctOQF%7SPZdiR{A1cRgPQh*?=0{V%;yMbKX{uzPRId@}~!BYLViY;kpKH%SUen za?+ruPbWxNm+)}4p!jzgM3m$EFiaG1#+s)o%UPXICIs>$3hyu2z1XNktDS3|~aefJLu5wxh-g7!!1UduOTL61O{*D#4%V_d?+q+LeY+5_r+W(NP3~Jb!Ia$g}orET- z?=gzMc@ax+e~Mi=vGA#1o^aP4NejPUHb@^)qievKrFOvC>d~`0K#cq+~g3 zx+tT7;&!XwJ#dGuFRRFhRgD6}YIdJ%z*o^z7e5B(6@(~cJts-@v1wd~O!!Hq!XvD9 zW)ZzZKJH@e+)meb`KcpL$u@e~y(=L3S;`vcjT+;m6czO*znkk(ydtK=b*c4oZe*bX zyr9^RL1tia$}t@K(t6BNSP$MH@@ks=bdsxB#xxcRQgABXUxin5tbxBjFqDj!ALr>y z?0PyuekfeIvFLdWac8Z1_gWfzg`0yDTI_wZ-MyJ%!wJQ9uDWpy`UX6N!KPGx4j7Lh{8m8Nf4twp>f~5 z;C_w>ujQ@zX?LH^>8ot>u<44TzioGyrF#!Y>t(A6mj|t!>kB?JI$+8>WWUM+PkgVg z)7=f!$dbFv-!PdYevnsZ!MJbTbmKZmxOr^!bF*K7=YY?Hghj@yn?(0+c=JZ}iD%7$ zAVCjh$c+2JSZ_H+Mw0Qz&F+;})4q~EQ=8=aDXr-CwJb%xgA!+u*?HT$j4qn*es)!g zmvUpP$A#xgdg@JdeO8z%d>h?x)8ItO1!IPF!#%|b0iK8P>@|}g6cw(;Z|6^JP~nf? z6^soAF^r5_(Cr3o_Z|3m78C&;;^E}riaC*z;cP*;$@~pPon(l+nSr4n+lMipnx>qy&mMcm;C>~qf zl{DVt!k6j<>h%~3jA89K=T2nR^0Vu>w=>1?OP(Q}kD#pz4ay4`lYY--(~s@8)iI`74SU6u@pxt?zcJx6(!0C)xr_T@OANKjn6b zNEr9b;zFX`j`5g-Ul+bP5#Dd5Mp_PZFEwzN2EO!XJQBeNOKzk+$XIQA_(;-aHQUMb z1vl(omhEXYpCq<(w+JoGQz$8L-SkP{Uz2SE<2^sZibatxe9s$| zJLN01>ps8nxQ##lS$5NS) zB?g>?O5sK@e?s9%r7_#6E?W$T+kvD^zd(!M`W)BTs28V0%7oWk&v@X2cCU$(Kl+X2 zsTnt5ZW@8`ApMPl9sfeVB{%1n0!{WtfdsNuk37k#UAK}$k$CB()&9a%OhjV5j$fUX zV4;y23S7~6u!ZJjD}G&(yLh-n+CYy>?NHw_^g4ZA<9y0s8$J z64Mc!mpxHiJpztjv>M4h9zEgc4GgNxrv8{i){;!KUaFH{&PAS1FAiQD8@KAYKuTN#Cy09ble`Im zoZ){HAF0pQn;lK9uQ?l)ZMz~1b+l?5>E($YK&P#H(z9j;=HE)_=otChb1Wl@vPM